[
  {
    "path": ".github/workflows/test.yml",
    "content": "name: Testing\n\non:\n  push:\n    branches: [ master ]\n  pull_request:\n    branches: [ master ]\n\njobs:\n  test:\n    runs-on: ubuntu-latest\n    strategy:\n      matrix:\n        python-version: [ 3.7]\n\n    steps:\n    - uses: actions/checkout@v2\n    - name: Set up Python ${{ matrix.python-version }}\n      uses: actions/setup-python@v2\n      with:\n        python-version: ${{ matrix.python-version }}\n    - name: Install dependencies\n      run: |\n        python -m pip install --upgrade pip\n        sed 's/tensorflow-gpu/tensorflow/' requirements.txt > requirements.txt.modified\n        pip install -r requirements.txt.modified\n    - name: Test\n      run: |\n        bash -c 'for f in *_test.py; do python3 $f || exit 1; done'\n"
  },
  {
    "path": ".gitignore",
    "content": "cached_models/**\n__pycache__/**"
  },
  {
    "path": "CONTRIBUTING.md",
    "content": "This repository exists to provide a record of published work, and so we do not\nexpect to receive pull-requests and do not currently have infrastructure to\nsupport these.\n\n## Contributor License Agreement\n\nContributions to this project must be accompanied by a Contributor License\nAgreement. You (or your employer) retain the copyright to your contribution;\nthis simply gives us permission to use and redistribute your contributions as\npart of the project. Head over to <https://cla.developers.google.com/> to see\nyour current agreements on file or to sign a new one.\n\nYou generally only need to submit a CLA once, so if you've already submitted one\n(even if it was for a different project), you probably don't need to do it\nagain.\n\n## Community Guidelines\n\nThis project follows\n[Google's Open Source Community Guidelines](https://opensource.google.com/conduct/).\n"
  },
  {
    "path": "LICENSE",
    "content": "\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 [yyyy] [name of copyright owner]\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."
  },
  {
    "path": "README.md",
    "content": "[![GitHub license](https://img.shields.io/badge/license-Apache2-blue.svg)](https://github.com/google-research/nisaba/blob/main/LICENSE)\n[![Paper](https://img.shields.io/badge/paper-eLife-blue.svg)](https://elifesciences.org/articles/80942)\n# ProteInfer\n\nProteInfer is an approach for predicting the functional properties of protein\nsequences using deep neural networks.\n\n#### 📝 Read about the method in [our interactive paper](https://google-research.github.io/proteinfer/) (or [in the static version](https://elifesciences.org/articles/80942), published in eLife).\n\n## Usage instructions\n\nGo to https://google-research.github.io/proteinfer/ to use an interactive demo in your\nbrowser, and read the related paper.\n\nOr if you're interested in the command line interface instead, see below.\n\nYou do not need a Google Cloud machine - these instructions were made as\nsuch just to demonstrate what it would take if you had to install\neverything from scratch.\n\n### Install gcloud on your local machine if you don't have it installed\n```\nsudo apt install -y google-cloud-sdk\ngcloud auth login\n```\n\n### Create GCP instance with a GPU\n```\ngcloud compute instances create proteinfer-gpu --machine-type n1-standard-8 --zone us-west1-b --accelerator type=nvidia-tesla-v100,count=1  --image-family ubuntu-2004-lts --image-project ubuntu-os-cloud --maintenance-policy TERMINATE --boot-disk-size 250\n```\n\n### ssh into the machine\n```\n# You may need to wait ~30 seconds for the machine to boot up first.\ngcloud compute ssh proteinfer-gpu\n```\n\n### Install cuda dependencies for GPU support\n```\nsudo apt update\nsudo add-apt-repository ppa:graphics-drivers -y\n\nwget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-keyring_1.0-1_all.deb -O /tmp/cuda-keyring_1.0-1_all.deb\nsudo dpkg -i /tmp/cuda-keyring_1.0-1_all.deb\n\nsudo bash -c 'echo \"deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /\" > /etc/apt/sources.list.d/cuda_learn.list'\nsudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub\n\nsudo apt update\nsudo apt install -y cuda-10-0 libcudnn7\n```\n\n### Install local python virtual environment\n```\nsudo apt update\nsudo add-apt-repository ppa:deadsnakes/ppa -y\nsudo apt install -y python3-venv python3.7 python3-pip python3.7-venv \nmkdir ~/python_venv\ncd ~/python_venv\npython3.7 -m venv proteinfer\nsource ~/python_venv/proteinfer/bin/activate\ncd ~\n```\n\n### Get our code from github and install python dependencies (e.g. numpy)\n```\ngit clone https://github.com/google-research/proteinfer\ncd ~/proteinfer\npip3 install -r requirements.txt\n```\n\n### Run our code on test sequences\n```\ncd ~/proteinfer\npython3 install_models.py\npython3 proteinfer.py -i testdata/test_hemoglobin.fasta -o ~/hemoglobin_predictions.tsv\n\n# View your predictions.\ncat ~/hemoglobin_predictions.tsv\n```\n\n### Copy your sequences as a fasta file to the GCP instance\n```\n# exit the ssh session by typing ctrl D\ngcloud compute scp <YOUR_FASTA_FILE_HERE> proteinfer-gpu:~/\n# Then ssh back in again\ngcloud compute ssh proteinfer-gpu\n# Then run your inference\npython3 proteinfer.py -i ~/<YOUR_FASTA_FILE_HERE> -o ~/predictions.tsv\n```\n\n### Delete the instance when you're done to save money\n```\ngcloud compute instances delete 'proteinfer-gpu'\n```\n\n\n## Running unit tests\n```\nbash -c 'for f in *_test.py; do python3 $f || exit 1; done'\n```\n"
  },
  {
    "path": "baseline_utils.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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# Lint as: python2, python3\n\"\"\"Utilities for evaluating baseline implementations of function annotation.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\n\nfrom __future__ import print_function\n\nimport re\nimport typing\nfrom typing import Any, Dict, FrozenSet, List, Set, Text\n\nimport numpy as np\nimport pandas as pd\nimport six\nfrom six.moves import zip\nimport tensorflow.compat.v1 as tf\nimport tqdm\n\n_BLAST_OUTPUT_COLUMNS = [\n    'query_id',\n    'subject_id',\n    'percent_seq_identity',\n    'alignment_length',\n    'n_mismatches',\n    'n_gap_opens',\n    'query_alignment_start',\n    'query_alignment_end',\n    'subject_alignment_start',\n    'subject_alignment_end',\n    'expected_value',\n    'bit_score',\n]\n\n_MERGE_COL_NAME = 'merge_col'\n\n# e.g. >accession=\"A0A0PX123\"\tlabels=\"PF00001,PF00002\"\n# Notice optional fasta header character '>' at the beginning.\n_SEQUENCE_HEADER_RE = re.compile(r'^>?accession=\"(\\w+)\"\\tlabels=\"(.*)\"')\n\n# Format of query sequence field for interproscan.\n_INTERPROSCAN_ACCESSION_REGEX = re.compile(r'accession=\"(\\w+)\"')\n\n\ndef _get_sequence_name_from_sequence_header(s):\n  \"\"\"Returns sequence name from fasta header.\n\n  Args:\n    s: Fasta header input string. Format of sequence headers is\n      >accession_\"label1,label2\". The initial '>' character is optional.\n  \"\"\"\n  return _SEQUENCE_HEADER_RE.findall(s)[0][0]  # 0th match, 0th capture group.\n\n\ndef _get_labels_from_sequence_header(s):\n  r\"\"\"Returns labels from fasta header.\n\n  Args:\n    s: Fasta header input string. Format of sequence headers is\n      >accession_\"label1,label2\". The initial '>' character is optional.\n  \"\"\"\n  # 0th match, 1th capture group.\n  regex_match = _SEQUENCE_HEADER_RE.findall(s)[0][1]\n  if regex_match == '':  # pylint: disable=g-explicit-bool-comparison\n    # If the regex match is the empty string, we just want an empty set, as\n    # there are no labels.\n    return set()\n  return set(six.ensure_str(regex_match).split(','))\n\n\nclass BlastResult(\n    typing.NamedTuple('BlastResult', (\n        ('sequence_name', Text),\n        ('closest_sequence', Text),\n        ('predicted_label', Set[Text]),\n        ('percent_seq_identity', float),\n        ('e_value', float),\n        ('bit_score', float),\n    ))):\n  \"\"\"Result of parsing BLAST output.\"\"\"\n\n  @staticmethod\n  def from_string(s, ground_truth_lookup):\n    \"\"\"Constructs a BlastResult from a line in blast tsv output.\"\"\"\n    tab_split = six.ensure_str(s).split('\\t')\n    query_sequence = six.ensure_str(tab_split[0]).split('\"')[1]\n    closest_sequence = six.ensure_str(tab_split[1]).split('\"')[1]\n\n    percent_seq_identity = float(tab_split[2])\n    e_value = float(tab_split[10])\n    bit_score = float(tab_split[11])\n\n    predicted_label = ground_truth_lookup[closest_sequence]\n\n    return BlastResult(\n        sequence_name=query_sequence,\n        closest_sequence=closest_sequence,\n        predicted_label=predicted_label,\n        percent_seq_identity=percent_seq_identity,\n        e_value=e_value,\n        bit_score=bit_score)\n\n\nclass InterproScanResult(\n    typing.NamedTuple('InterproScanResult', (('sequence_name', Text),\n                                             ('predicted_label', Set[Text])))):\n  \"\"\"Result of parsing InterproScan output.\"\"\"\n\n  @staticmethod\n  def from_string(s):\n    tab_split = six.ensure_str(s).rstrip('\\n').split('\\t')\n    if len(tab_split) < 14 or tab_split[13] == '':  # pylint: disable=g-explicit-bool-comparison\n      go_labels = set()\n    else:\n      go_labels = set(six.ensure_str(tab_split[13]).split('|'))\n\n    return InterproScanResult(\n        sequence_name=_INTERPROSCAN_ACCESSION_REGEX.findall(tab_split[0])[0],\n        predicted_label=go_labels)\n\n\ndef load_ground_truth(filename):\n  \"\"\"Returns dataframe of ground truth from FASTA file.\n\n  Documentation on how to produce this FASTA file is available at\n  https://docs.google.com/document/d/1uB8J_a1cURIeVNqa5SOJRBBtimI1nOHbU1NbN43Xr0s\n\n  Args:\n    filename: str. Path to FASTA file. Fasta header input string. Format of\n      sequence headers is like >accession=\"A0A0PX123\"   labels=\"PF00001,PF00002\"\n\n  Returns:\n    pd.DataFrame with columns sequence_name (str), sequence (str),\n    true_label(Set[str]).\n  \"\"\"\n  dict_for_making_df = {'sequence_name': [], 'true_label': [], 'sequence': []}\n\n  with tf.io.gfile.GFile(filename) as f:\n    for line in tqdm.tqdm(f, position=0):\n      line = six.ensure_str(line)\n      if line.startswith('>'):\n        dict_for_making_df['sequence_name'].append(\n            _get_sequence_name_from_sequence_header(line))\n        dict_for_making_df['true_label'].append(\n            _get_labels_from_sequence_header(line))\n      else:\n        dict_for_making_df['sequence'].append(line.rstrip())\n\n  all_test_seqs = pd.DataFrame(dict_for_making_df)\n\n  return all_test_seqs\n\n\ndef _set_predicted_labels_missing(row):\n  \"\"\"Adds empty set as predicted labels for a DataFrame row.\"\"\"\n  if row[_MERGE_COL_NAME] == 'right_only':\n    return set()\n  else:\n    return row['predicted_labels']\n\n\ndef _fillna(df, column_name, value):\n  \"\"\"Replacement for df.fillna that works with non-indexable values.\n\n  https://github.com/pandas-dev/pandas/issues/21329\n\n  Args:\n    df: pd.DataFrame with column `column_name`.\n    column_name: str.\n    value: value to set when column's value is NaN.\n  \"\"\"\n  df[column_name] = [\n      (x if isinstance(x, (set, frozenset)) else value) for x in df[column_name]\n  ]\n\n\ndef _blast_row_to_confidence_array(\n    row,\n    label_vocab,\n    label_to_vocab_index,\n):\n  \"\"\"Returns a confidence array of preds (predicted labels get bit_score).\"\"\"\n  arr = np.zeros_like(label_vocab, np.float32)\n  indexes_to_update = np.array(\n      [label_to_vocab_index[l] for l in row.predicted_label], dtype=np.int32)\n  arr[indexes_to_update] = row.bit_score\n  return arr\n\n\ndef load_blast_output(filename, label_vocab,\n                      training_data_ground_truth,\n                      test_data_ground_truth):\n  \"\"\"Load a file containing tsv-separated blast output.\n\n  Args:\n    filename: str. Path to output of blast.\n    label_vocab: np.array of string (labels). Used to compute the output column\n      `predictions`.\n    training_data_ground_truth: pd.DataFrame. The output of `load_ground_truth`.\n      Used to compute predicted labels, by using the labels on the training data\n      for the best match, given by blast.\n    test_data_ground_truth: pd.DataFrame. The output of `load_ground_truth`.\n      Used to compute the true labels.\n\n  Returns:\n    pd.DataFrame with columns\n    sequence_name (str);\n    true_label (Set[str]);\n    predicted_label (Set[str]);\n    predictions (np.array of length len(label_vocab), filled with the bit score\n      of the closest match). A value of 0 is used for sequences with no blast\n      calls;\n    percent_seq_identity (float, between 0 and 100);\n    e_value (float, a measure of confidence. Lower is more confident.).\n      A value of NaN is used for missing blast calls;\n    bit_score (float, a measure of confidence. Higher is more confident.).\n      A value of 0 is used for sequences with no blast calls.\n\n    For more information on e-value and bit score, see\n    http://www.metagenomics.wiki/tools/blast/evalue\n  \"\"\"\n  training_data_ground_truth_lookup = dict(\n      list(\n          zip(training_data_ground_truth.sequence_name,\n              training_data_ground_truth.true_label)))\n\n  blast_output_namedtuples = []\n  with tf.io.gfile.GFile(filename) as f:\n    for line in tqdm.tqdm(f, position=0):\n      blast_output_namedtuples.append(\n          BlastResult.from_string(\n              line, training_data_ground_truth_lookup))\n\n  blast_output = pd.DataFrame.from_records(\n      blast_output_namedtuples, columns=BlastResult._fields)\n\n  # Add in ground truth to get all sequences (including those missed by BLAST).\n  blast_output = blast_output.merge(\n      test_data_ground_truth,\n      on='sequence_name',\n      how='right',\n      indicator=_MERGE_COL_NAME)\n\n  label_to_vocab_index = {l: i for i, l in enumerate(label_vocab)}\n  # For all sequences for which we don't have predictions, set the predictions\n  # to the empty set.\n  _fillna(blast_output, 'predicted_label', frozenset())\n\n  # A bit score of 0 is a \"zero confidence\" score.\n  blast_output['bit_score'].fillna(0., inplace=True)\n\n  blast_output['predictions'] = blast_output.apply(\n      axis='columns',\n      func=lambda row: _blast_row_to_confidence_array(  # pylint: disable=g-long-lambda\n          row, label_vocab, label_to_vocab_index))\n\n  # Clean up output columns.\n  blast_output.drop(inplace=True, columns=[_MERGE_COL_NAME, 'sequence'])\n\n  return blast_output\n\n\ndef _pad_ec_label_with_hyphens(label):\n  \"\"\"E.g. Given 'EC:1', returns 'EC:1.-.-.-'.\"\"\"\n  to_return = label\n  while to_return.count('.') != 3:\n    to_return += '.-'\n  return to_return\n\n\ndef limit_set_of_labels(df, acceptable_labels,\n                        column_to_limit):\n  \"\"\"Limits the set of things in df[column_to_limit to acceptable_labels.\"\"\"\n  working_df = df.copy()\n\n  working_df[column_to_limit] = working_df[column_to_limit].apply(\n      acceptable_labels.intersection)\n  return working_df\n\n\ndef limit_labels_for_label_normalizer(\n    label_normalizer,\n    acceptable_labels):\n  \"\"\"Limits keys and values in label_normalizer to acceptable labels.\"\"\"\n  limited_label_normalizer = {}\n  for k, v in label_normalizer.items():\n    if k in acceptable_labels:\n      limited_label_normalizer[k] = sorted(\n          acceptable_labels.intersection(set(v)))\n\n  return limited_label_normalizer\n\n\ndef load_interproscan_output(\n    interproscan_output_filename,\n    test_data_ground_truth,\n):\n  \"\"\"Loads tab-separated output from interproscan.\n\n  Args:\n    interproscan_output_filename: file path to tsv interproscan output.\n    test_data_ground_truth: pd.DataFrame. The output of `load_ground_truth`.\n      Used to compute the true labels.\n\n  Returns:\n    pd.DataFrame with output columns 'sequence_name' (Text), predicted_label\n    (frozenset).\n  \"\"\"\n  interproscan_output_namedtuples = []\n  with tf.io.gfile.GFile(interproscan_output_filename) as f:\n    for line in tqdm.tqdm(f, position=0):\n      interproscan_output_namedtuples.append(\n          InterproScanResult.from_string(line))\n\n  interproscan_output = pd.DataFrame.from_records(\n      interproscan_output_namedtuples, columns=InterproScanResult._fields)\n\n  collapsed_interproscan_output_dict = {\n      'sequence_name': [],\n      'predicted_label': []\n  }\n\n  # There is more than one output per accession because interproscan supports\n  # many analyses of each sequence, and so all the go labels need to be\n  # collapsed.\n  for grouping_key, group in tqdm.tqdm(\n      interproscan_output.groupby('sequence_name'), position=0):\n    collapsed_interproscan_output_dict['sequence_name'].append(grouping_key)\n\n    collapsed_interproscan_output_dict['predicted_label'].append(\n        frozenset().union(*group.predicted_label.values.tolist()))\n\n  collapsed_interproscan_output = pd.DataFrame(\n      collapsed_interproscan_output_dict)\n\n  # Add in ground truth to get all sequences (including those missed by BLAST).\n  interproscan_output = collapsed_interproscan_output.merge(\n      test_data_ground_truth,\n      on='sequence_name',\n      how='right',\n      indicator=_MERGE_COL_NAME)\n\n  # For all sequences for which we don't have predictions, set the predictions\n  # to the empty set.\n  _fillna(interproscan_output, 'predicted_label', frozenset())\n\n  # Clean up output columns.\n  interproscan_output.drop(inplace=True, columns=[_MERGE_COL_NAME, 'sequence'])\n\n  return interproscan_output\n"
  },
  {
    "path": "baseline_utils_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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# Lint as: python2, python3\n# pylint: disable=line-too-long\n\"\"\"Tests for module model_performance_analysis.py.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport tempfile\n\nfrom absl.testing import absltest\nfrom absl.testing import parameterized\nimport numpy as np\nimport pandas as pd\n\nimport baseline_utils\nimport test_util\nimport tensorflow.compat.v1 as tf\n\n\ndef _write_to_file(contents):\n  tmpfile_name = tempfile.mktemp()\n  with tf.io.gfile.GFile(tmpfile_name, \"w\") as f:\n    f.write(contents.encode(\"utf-8\"))\n  return tmpfile_name\n\n\nclass BaselineUtilsTest(parameterized.TestCase):\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"has fasta character >\",\n          header='>accession=\"ACCESSION\"\\tlabels=\"label1,label2\"',\n          expected=\"ACCESSION\",\n      ),\n      dict(\n          testcase_name=\"does not have character >\",\n          header='accession=\"ACCESSION\"\\tlabels=\"label1,label2\"',\n          expected=\"ACCESSION\",\n      ),\n  )\n  def test_get_sequence_name_from_sequence_header(self, header, expected):\n    actual = baseline_utils._get_sequence_name_from_sequence_header(header)\n    self.assertEqual(actual, expected)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"two labels\",\n          header='>accession=\"ACCESSION\"\\tlabels=\"label1,label2\"',\n          expected={\"label1\", \"label2\"},\n      ),\n      dict(\n          testcase_name=\"zero labels\",\n          header='>accession=\"ACCESSION\"\\tlabels=\"\"',\n          expected=set(),\n      ),\n  )\n  def test_get_labels_from_sequence_header(self, header, expected):\n    actual = baseline_utils._get_labels_from_sequence_header(header)\n    self.assertEqual(actual, expected)\n\n  def test_load_ground_truth(self):\n    input_fasta = ('>accession=\"ACCESSION\"\\tlabels=\"GO:101010,EC:9.9.9.9\"\\n'\n                   \"ADE\\n\"\n                   '>accession=\"ACCESSION2\"\\tlabels=\"EC:1.2.-.-\"\\n'\n                   \"WWWW\\n\")\n    tmpfile_name = _write_to_file(input_fasta)\n    actual = baseline_utils.load_ground_truth(tmpfile_name)\n\n    expected = pd.DataFrame({\n        \"sequence_name\": [\"ACCESSION\", \"ACCESSION2\"],\n        \"true_label\": [{\"GO:101010\", \"EC:9.9.9.9\"}, {\"EC:1.2.-.-\"}],\n        \"sequence\": [\"ADE\", \"WWWW\"]\n    })\n\n    test_util.assert_dataframes_equal(self, actual, expected)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"no inputs, one thing in vocab\",\n          input_row=pd.Series({\n              \"predicted_label\": frozenset([]),\n              \"bit_score\": 99.\n          }),\n          input_label_vocab=np.array([\"PF00001\"]),\n          expected=[0.],\n      ),\n      dict(\n          testcase_name=\"one input, one thing in vocab\",\n          input_row=pd.Series({\n              \"predicted_label\": frozenset([\"PF00001\"]),\n              \"bit_score\": 99.\n          }),\n          input_label_vocab=np.array([\"PF00001\"]),\n          expected=[99.],\n      ),\n      dict(\n          testcase_name=\"one input, two things in vocab\",\n          input_row=pd.Series({\n              \"predicted_label\": frozenset([\"PF00001\"]),\n              \"bit_score\": 99.\n          }),\n          input_label_vocab=np.array([\"PF00001\", \"PF99999\"]),\n          expected=[99., 0.],\n      ),\n      dict(\n          testcase_name=\"two inputs, two things in vocab\",\n          input_row=pd.Series({\n              \"predicted_label\": frozenset([\"PF00001\", \"PF99999\"]),\n              \"bit_score\": 99.\n          }),\n          input_label_vocab=np.array([\"PF00001\", \"PF99999\"]),\n          expected=[99., 99.],\n      ),\n  )\n  def test_blast_row_to_confidence_array(self, input_row, input_label_vocab,\n                                         expected):\n    lookup = {k: i for i, k in enumerate(input_label_vocab)}\n\n    actual = baseline_utils._blast_row_to_confidence_array(\n        input_row, input_label_vocab, lookup)\n    np.testing.assert_allclose(actual, expected)\n\n  def test_load_blast_output(self):\n    input_test_fasta = (\n        '>accession=\"ACCESSION\"\\tlabels=\"GO:101010,EC:9.9.9.9\"\\n'\n        \"ADE\\n\"\n        '>accession=\"ACCESSION2\"\\tlabels=\"EC:1.2.-.-\"\\n'\n        \"WWWW\\n\")\n    test_fasta_filename = _write_to_file(input_test_fasta)\n    ground_truth_test = baseline_utils.load_ground_truth(test_fasta_filename)\n\n    input_train_fasta = (\n        '>accession=\"MATCHACCESSION\"\\tlabels=\"GO:101010,EC:9.9.9.9,Pfam:PF12345\"\\n'\n        \"ADE\\n\")\n    train_fasta_filename = _write_to_file(input_train_fasta)\n    ground_truth_train = baseline_utils.load_ground_truth(train_fasta_filename)\n\n    # Missing second sequence in ground truth.\n    input_blast = (\n        'accession=\"ACCESSION\"\\taccession=\"MATCHACCESSION\"\\t82.456\\t57\\t10\\t0\\t1\\t57\\t1\\t57\\t6.92e-21\\t79.3\\n'\n    )\n    input_label_vocab = np.array(\n        [\"EC:1.2.-.-\", \"EC:9.9.9.9\", \"GO:101010\", \"Pfam:PF12345\"])\n    blast_filename = _write_to_file(input_blast)\n    actual = baseline_utils.load_blast_output(\n        filename=blast_filename,\n        label_vocab=input_label_vocab,\n        test_data_ground_truth=ground_truth_test,\n        training_data_ground_truth=ground_truth_train)\n\n    expected = pd.DataFrame({\n        \"sequence_name\": [\"ACCESSION\", \"ACCESSION2\"],\n        \"closest_sequence\": [\"MATCHACCESSION\", float(\"nan\")],\n        \"true_label\": [{\"GO:101010\", \"EC:9.9.9.9\"}, {\"EC:1.2.-.-\"}],\n        \"predicted_label\": [{\"GO:101010\", \"EC:9.9.9.9\", \"Pfam:PF12345\"},\n                            frozenset()],\n        \"percent_seq_identity\": [82.456, float(\"nan\")],\n        \"e_value\": [6.92e-21, float(\"nan\")],\n        \"bit_score\": [79.3, 0.0],\n    })\n\n    test_util.assert_dataframes_equal(\n        self,\n        # Assert dataframes equal except for predictions column.\n        # Rely on unit testing for predictions column instead to increase\n        # test clarity. See test_blast_row_to_confidence_array above.\n        actual.drop(columns=[\"predictions\"]),\n        expected,\n        nan_equals_nan=True)\n\n  def test_limit_set_of_labels(self):\n    # Set up input data.\n    input_df = pd.DataFrame(\n        {\"labels\": [frozenset([\"a\"]), frozenset([\"a\", \"b\"])]})\n    acceptable_labels = frozenset([\"a\"])\n    column_to_limit = \"labels\"\n\n    # Assert input dataframe was not modified later on, so save a copy.\n    input_df_copy = input_df.copy()\n\n    # Compute actual.\n    actual = baseline_utils.limit_set_of_labels(input_df, acceptable_labels,\n                                                column_to_limit)\n    expected = pd.DataFrame({\"labels\": [frozenset([\"a\"]), frozenset([\"a\"])]})\n\n    # Test assertions.\n    test_util.assert_dataframes_equal(self, actual, expected)\n\n    # Assert input dataframe was not modified.\n    test_util.assert_dataframes_equal(self, input_df, input_df_copy)\n\n  def test_limit_labels_for_label_normalizer(self):\n    input_label_normalizer = {\n        \"a\": [\"a\", \"b\", \"c\"],\n        \"DDDD\": [\"XXXX\"],\n        \"b\": [\"YYYY\", \"b\"]\n    }\n    input_acceptable_labels = frozenset([\"a\", \"b\"])\n\n    actual = baseline_utils.limit_labels_for_label_normalizer(\n        input_label_normalizer, input_acceptable_labels)\n    expected = {\"a\": [\"a\", \"b\"], \"b\": [\"b\"]}\n\n    self.assertDictEqual(actual, expected)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"one sequence, one label row, no extra nonlabel entries\",\n          interproscan_output=\"\"\"accession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tTIGRFAM\tTIGR00506\tribB: 3,4-dihydroxy-2-butanone-4-phosphate synthase\t13\t209\t1.5E-86\tT\t21-10-2019\tIPR000422\t3,4-dihydroxy-2-butanone 4-phosphate synthase, RibB\tGO:0008686|GO:0009231\"\"\",\n          input_ground_truth_test_fasta=\"\"\">accession=\"B7UIV5\"\\tlabels=\"GO:101010\"\nNOT_USED\"\"\",\n          expected_predicted_labels_per_seq={\n              \"B7UIV5\": {\"GO:0008686\", \"GO:0009231\"}\n          },\n      ),\n      dict(\n          testcase_name=\"one sequence, one label row, extra nonlabel entries\",\n          interproscan_output=\"\"\"accession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tTIGRFAM\tTIGR00506\tribB: 3,4-dihydroxy-2-butanone-4-phosphate synthase\t13\t209\t1.5E-86\tT\t21-10-2019\tIPR000422\t3,4-dihydroxy-2-butanone 4-phosphate synthase, RibB\tGO:0008686|GO:0009231\naccession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tGene3D\tG3DSA:3.90.870.10\t\t1\t217\t5.1E-95T21-10-2019\"\"\",\n          input_ground_truth_test_fasta=\"\"\">accession=\"B7UIV5\"\\tlabels=\"GO:101010\"\nNOT_USED\"\"\",\n          expected_predicted_labels_per_seq={\"B7UIV5\": {\"GO:0008686\", \"GO:0009231\"}},\n      ),\n      dict(\n          testcase_name=\"one sequence, no labels\",\n          interproscan_output=\"\"\"accession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tGene3D\tG3DSA:3.90.870.10\t\t1\t217\t5.1E-95T21-10-2019\"\"\",\n          input_ground_truth_test_fasta=\"\"\">accession=\"B7UIV5\"\\tlabels=\"GO:101010\"\nNOT_USED\"\"\",\n          expected_predicted_labels_per_seq={\"B7UIV5\": set()},\n      ),\n      dict(\n          testcase_name=\"one sequence, multiple label rows, extra nonlabel entries\",\n          interproscan_output=\"\"\"accession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tPANTHER\tPTHR21327:SF38\t\t1\t217\t8.2E-126\tT21-10-2019\naccession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tTIGRFAM\tTIGR00506\tribB: 3,4-dihydroxy-2-butanone-4-phosphate synthase\t13\t209\t1.5E-86\tT\t21-10-2019\tIPR000422\t3,4-dihydroxy-2-butanone 4-phosphate synthase, RibB\tGO:0008686|GO:0009231\naccession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tHamap\tMF_00180\t3,4-dihydroxy-2-butanone 4-phosphate synthase [ribB].\t11\t213\t43.238\tT\t21-10-2019\tIPR000422\t3,4-dihydroxy-2-butanone 4-phosphate synthase, RibB\tGO:0008686|GO:0009231\naccession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tGene3D\tG3DSA:3.90.870.10\t\t1\t217\t5.1E-95T21-10-2019\naccession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tSUPERFAMILY\tSSF55821\t\t7\t213\t5.95E-86T\t21-10-2019\tIPR017945\tDHBP synthase RibB-like alpha/beta domain superfamily\naccession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tPfam\tPF00926\t3,4-dihydroxy-2-butanone 4-phosphate synthase\t17\t208\t1.7E-82\tT\t21-10-2019\tIPR000422\t3,4-dihydroxy-2-butanone 4-phosphate synthase, RibB\tGO:0008686|GO:0009231\naccession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tPANTHER\tPTHR21327\t\t1\t217\t8.2E-126\tT21-10-2019\"\"\",\n          input_ground_truth_test_fasta=\"\"\">accession=\"B7UIV5\"\\tlabels=\"GO:101010\"\nNOT_USED\"\"\",\n          expected_predicted_labels_per_seq={\"B7UIV5\": {\"GO:0008686\", \"GO:0009231\"}},\n      ),\n      dict(\n          testcase_name=\"two sequences, one has labels\",\n          interproscan_output=\"\"\"accession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tPANTHER\tPTHR21327\t\t1\t217\t8.2E-126\tT21-10-2019\n    accession=\"Q5SMK6\"\te9a286a263b71156fcf0cfebc12caec6\t360\tCDD\tcd00143\tPP2Cc\t64\t325\t6.91138E-87\tT\t21-10-2019\tIPR001932\tPPM-type phosphatase domain\tGO:0003824\"\"\",\n          input_ground_truth_test_fasta=\"\"\">accession=\"B7UIV5\"\\tlabels=\"GO:101010\"\nNOT_USED\n>accession=\"Q5SMK6\"\\tlabels=\"GO:101010\"\nNOT_USED\"\"\",\n          expected_predicted_labels_per_seq={\n              \"B7UIV5\": set(),\n              \"Q5SMK6\": {\"GO:0003824\"},\n          },\n      ),\n      dict(\n          testcase_name=\"two sequences, both have labels\",\n          interproscan_output=\"\"\"accession=\"B7UIV5\"\t74c763abf8567dfb6f4f83a4e0a31454\t217\tTIGRFAM\tTIGR00506\tribB: 3,4-dihydroxy-2-butanone-4-phosphate synthase\t13\t209\t1.5E-86\tT\t21-10-2019\tIPR000422\t3,4-dihydroxy-2-butanone 4-phosphate synthase, RibB\tGO:0008686|GO:0009231\n    accession=\"Q5SMK6\"\te9a286a263b71156fcf0cfebc12caec6\t360\tCDD\tcd00143\tPP2Cc\t64\t325\t6.91138E-87\tT\t21-10-2019\tIPR001932\tPPM-type phosphatase domain\tGO:0003824\"\"\",\n          input_ground_truth_test_fasta=\"\"\">accession=\"B7UIV5\"\\tlabels=\"GO:101010\"\nNOT_USED\n>accession=\"Q5SMK6\"\\tlabels=\"GO:101010\"\nNOT_USED\"\"\",\n          expected_predicted_labels_per_seq={\n              \"B7UIV5\": {\"GO:0008686\", \"GO:0009231\"},\n              \"Q5SMK6\": {\"GO:0003824\"},\n          },\n      ),\n      dict(\n          testcase_name=\"sequence in ground truth that is missing in interproscan output\",\n          interproscan_output=\"\",\n          input_ground_truth_test_fasta=\"\"\">accession=\"B7UIV5\"\\tlabels=\"GO:101010\"\nNOT_USED\"\"\",\n          expected_predicted_labels_per_seq={\n              \"B7UIV5\": set(),\n          },\n      ),\n  )\n  def test_load_interproscan_output(self, interproscan_output,\n                                    input_ground_truth_test_fasta,\n                                    expected_predicted_labels_per_seq):\n    # Set up inputs.\n    input_file = _write_to_file(interproscan_output)\n\n    input_test_fasta_filename = _write_to_file(input_ground_truth_test_fasta)\n\n    input_ground_truth_test = baseline_utils.load_ground_truth(\n        input_test_fasta_filename)\n\n    # Compute actual results.\n    actual_interproscan_output = baseline_utils.load_interproscan_output(\n        test_data_ground_truth=input_ground_truth_test,\n        interproscan_output_filename=input_file)\n\n    # Assertions.\n    expected_df_length = len(\n        set(\n            list(expected_predicted_labels_per_seq.keys()) +\n            input_ground_truth_test.sequence_name.values))\n    self.assertLen(actual_interproscan_output, expected_df_length)\n\n    for row in actual_interproscan_output.itertuples():\n      self.assertIn(row.sequence_name, expected_predicted_labels_per_seq)\n      self.assertSetEqual(row.predicted_label,\n                          expected_predicted_labels_per_seq[row.sequence_name])\n\n\nif __name__ == \"__main__\":\n  absltest.main()\n"
  },
  {
    "path": "colab_evaluation.py",
    "content": "# coding=utf-8\r\n# Copyright 2020 The Google Research Authors.\r\n#\r\n# Licensed under the Apache License, Version 2.0 (the \"License\");\r\n# you may not use this file except in compliance with the License.\r\n# You may obtain a copy of the License at\r\n#\r\n#     http://www.apache.org/licenses/LICENSE-2.0\r\n#\r\n# Unless required by applicable law or agreed to in writing, software\r\n# distributed under the License is distributed on an \"AS IS\" BASIS,\r\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\r\n# See the License for the specific language governing permissions and\r\n# limitations under the License.\r\n\"\"\"Version of evaluation utilities intended for use in lower memory environments, such as colab.\r\n\r\nThis version of the evaluation code leverages the fact that the vast majority of example-label predictions \r\nare essentially zero, and so only contribute to false negatives. It therefore represents the data in \"tidy\r\nformat\" with one row per example-label pair and excludes example-label pairs below a defined threshold.\r\n\"\"\"\r\n\r\nimport numpy as np\r\nimport pandas as pd\r\nimport sklearn\r\nimport tqdm\r\n\r\nimport inference\r\nimport utils\r\nimport evaluation\r\n\r\n\r\ndef read_blast_table(filename):\r\n    \"\"\"Read a table of BLAST results.\"\"\"\r\n\r\n    blast_out = pd.read_table(filename,\r\n                              names=[\r\n                                  'up_id', 'target', 'pc_identity',\r\n                                  'pc_positives', 'alignment_length',\r\n                                  'mismatches', 'gap_opens', 'q. start',\r\n                                  'q. end', 's. start', 'evalue', 'bit_score'\r\n                              ])\r\n\r\n    def extract_accession(long_string):\r\n        \"\"\"Strip out accession decoration from a parameter\"\"\"\r\n        return long_string.replace('accession=\"', '').replace('\"', '')\r\n\r\n    blast_out['up_id'] = blast_out['up_id'].map(extract_accession)\r\n    blast_out['target'] = blast_out['target'].map(extract_accession)\r\n    blast_out = blast_out[[\r\n        'up_id', 'target', 'pc_identity', 'alignment_length', 'bit_score'\r\n    ]]\r\n    return blast_out\r\n\r\n\r\ndef stats_by_group(df):\r\n    \"\"\"Calculate statistics from a groupby'ed dataframe with TPs,FPs and FNs.\"\"\"\r\n\r\n    EPSILON = 1e-10\r\n    result = df[['tp', 'fp', 'fn']].sum().reset_index().assign(\r\n        precision=lambda x: (x['tp'] + EPSILON) /\r\n        (x['tp'] + x['fp'] + EPSILON),\r\n        recall=lambda x: (x['tp'] + EPSILON) /\r\n        (x['tp'] + x['fn'] + EPSILON)).assign(\r\n            f1=lambda x: 2 * x['precision'] * x['recall'] /\r\n            (x['precision'] + x['recall'] + EPSILON),\r\n            count=lambda x: x['tp'] + x['fn'])\r\n    result['proportion'] = result['count'] / np.sum(result['count'])\r\n    result['proportion_text'] = (result['proportion'] *\r\n                                 100).round(2).astype(str) + \"%\"\r\n    return result\r\n\r\n\r\ndef get_stats(df):\r\n    \"\"\"Calculate statistics from a dataframe with TPs,FPs and FNs.\"\"\"\r\n    df['dummy_group'] = 'all'\r\n    data = stats_by_group(df.groupby('dummy_group')).drop(\r\n        columns=['dummy_group', 'proportion', 'proportion_text'])\r\n    return data\r\n\r\n\r\ndef apply_threshold_and_return_stats(predictions_df,\r\n                                     ground_truth_df,\r\n                                     threshold=0.5,\r\n                                     grouping=None):\r\n    \"\"\"Given predictions, ground truth and a threshold get statistics.\"\"\"\r\n    calls = assign_tp_fp_fn(predictions_df, ground_truth_df, threshold)\r\n    if grouping:\r\n        calls['group'] = calls['label'].map(grouping)\r\n        return stats_by_group(\r\n            calls.groupby(\"group\")).assign(threshold=threshold)\r\n    else:\r\n        return get_stats(calls).assign(threshold=threshold)\r\n\r\n\r\ndef batch_inferences(iterator, batch_size):\r\n    \"\"\"Yield batches of seq_ids and predictions matrices from an iterator.\"\"\"\r\n    counter = 0\r\n    predictions = []\r\n    seq_ids = []\r\n    while True:\r\n        try:\r\n            inference = next(iterator)\r\n        except StopIteration:\r\n            if len(seq_ids) > 0:\r\n                yield seq_ids, np.vstack(predictions)\r\n            return\r\n        seq_ids.append(inference[0])\r\n        predictions.append(inference[1])\r\n        counter += 1\r\n        if counter == batch_size:\r\n            yield seq_ids, np.vstack(predictions)\r\n            predictions = []\r\n            seq_ids = []\r\n            counter = 0\r\n\r\n\r\ndef batched_inferences_from_files(shard_names, batch_size=100):\r\n    \"\"\"Iterate through TFRecord files of inferences and yield batches.\"\"\"\r\n    for file_name in tqdm.tqdm(shard_names, position=0):\r\n        inference_iterator = inference.parse_shard(file_name)\r\n        batched_iterator = batch_inferences(inference_iterator, batch_size)\r\n        while True:\r\n            try:\r\n                yield next(batched_iterator)\r\n            except StopIteration:\r\n                break\r\n\r\n\r\ndef batched_inferences_from_dir(shard_dir_path, batch_size=100):\r\n    \"\"\"Iterate through directory of inference TFRecord files and yield batches.\"\"\"\r\n    files_to_process = utils.absolute_paths_of_files_in_dir(shard_dir_path)\r\n    return batched_inferences_from_files(files_to_process, batch_size)\r\n\r\n\r\ndef _make_tidy_df_from_seq_names_and_prediction_array(\r\n        sequence_names, predictions_array, vocab,\r\n        min_decision_threshold=1e-20):\r\n    \"\"\"Given a list of sequences and a matrix of prediction values, yield a tidy dataframe of predictions.\"\"\"\r\n    up_ids = []\r\n    labels = []\r\n    values = []\r\n\r\n    for i in range(len(sequence_names)):\r\n        up_id = sequence_names[i]\r\n        preds = predictions_array[i, :]\r\n\r\n        for vocab_index in np.argwhere(preds > min_decision_threshold):\r\n            vocab_index = vocab_index[0]\r\n            up_ids.append(up_id)\r\n            labels.append(vocab[vocab_index])\r\n            values.append(preds[vocab_index])\r\n    return pd.DataFrame({\"up_id\": up_ids, \"label\": labels, \"value\": values})\r\n\r\n\r\ndef get_normalized_inference_results(shard_dir_path,\r\n                                     vocab,\r\n                                     label_normalizer,\r\n                                     min_decision_threshold=1e-20):\r\n    \"\"\"Take a directory of sharded inferences and output a tidy and normalized dataframe.\r\n\r\n    Inferences are in the format defined in inference.py\r\n    \r\n    Args:\r\n        shard_dir_path: directory of TFrecord inference shards\r\n        vocab: a list of vocabulary items\r\n        label_normalizer: a dictionary mapping vocabulary items to their parents\r\n        min_decision_threshold: a threshold reflecting the minimum we will ever be \r\n            able to use to call a positive in subsequent analysis. Higher\r\n            values use less RAM at the expense of lower maximum sensitivity.\r\n        \r\n    Returns:\r\n        A pandas dataframe with one row per example-label (provided value > min_decision_threshold) and the \r\n        associated value from the neural network.\r\n    \"\"\"\r\n    batches = batched_inferences_from_dir(shard_dir_path)\r\n    dfs = []\r\n    for seq_names, confidences in batches:\r\n        normed_confidences = evaluation.normalize_confidences(\r\n            confidences, vocab, label_normalizer)\r\n        dfs.append(\r\n            _make_tidy_df_from_seq_names_and_prediction_array(\r\n                seq_names,\r\n                normed_confidences,\r\n                vocab,\r\n                min_decision_threshold=min_decision_threshold))\r\n    return pd.concat(dfs)\r\n\r\n\r\ndef make_tidy_df_from_ground_truth(ground_truth):\r\n    \"\"\"Create a tidy dataframe from ground truth data.\"\"\"\r\n    up_ids = []\r\n    labels = []\r\n\r\n    for i in tqdm.tqdm(ground_truth.index, position=0):\r\n        up_id = ground_truth['sequence_name'][i]\r\n        for vocab_entry in ground_truth['true_label'][i]:\r\n            up_ids.append(up_id)\r\n            labels.append(vocab_entry)\r\n    return pd.DataFrame({\"up_id\": up_ids, \"label\": labels, \"gt\": True})\r\n\r\n\r\ndef merge_predictions_and_ground_truth(predictions_df, ground_truth_df):\r\n    \"\"\"Perform an outer join of predictions and ground truth, then set all empty values to False.\"\"\"\r\n    combined = predictions_df.merge(ground_truth_df,\r\n                                    how=\"outer\",\r\n                                    suffixes=(\"_pred\", \"_gt\"),\r\n                                    left_on=[\"label\", \"up_id\"],\r\n                                    right_on=[\"label\", \"up_id\"])\r\n    combined = combined.fillna(False)\r\n    return combined\r\n\r\n\r\ndef get_pr_curve_df(predictions_df,\r\n                    ground_truth_df,\r\n                    grouping=None,\r\n                    filtered=True):\r\n    \"\"\"Given predictions and ground truth in tidy format, yield a precision recall curve.\r\n    \r\n    Args:\r\n        predictions_df: predictions in tidy format\r\n        ground_truth_df: ground truth in tidy format\r\n        grouping: optional dictionary mapping sequence names to categories\r\n        filtered: whether to remove almost redundant points on PR curve\r\n    \"\"\"\r\n    combined = merge_predictions_and_ground_truth(predictions_df,\r\n                                                  ground_truth_df)\r\n    if grouping == None:\r\n        to_process = {'all': combined}.items()\r\n    else:\r\n        combined['group'] = combined['label'].map(grouping)\r\n        to_process = combined.groupby('group')\r\n\r\n    del combined\r\n    output_dfs = []\r\n    for group_name, group in tqdm.tqdm(to_process, position=0):\r\n        precisions, recalls, thresholds = sklearn.metrics.precision_recall_curve(\r\n            group['gt'], group['value'])\r\n        precisions = precisions[:-1]\r\n        recalls = recalls[:-1]\r\n        if filtered:\r\n            precisions, recalls, thresholds = filter_pr_curve(\r\n                precisions, recalls, thresholds)\r\n        output_dfs.append(\r\n            pd.DataFrame({\r\n                'group':\r\n                group_name,\r\n                'precision':\r\n                precisions,\r\n                'recall':\r\n                recalls,\r\n                'threshold':\r\n                thresholds,\r\n                'f1':\r\n                2 * precisions * recalls / (precisions + recalls)\r\n            }))\r\n    return pd.concat(output_dfs)\r\n\r\n\r\ndef filter_pr_curve(precisions, recalls, thresholds, resolution=1e-4):\r\n    \"\"\"Filters out imperceptible shifts in a PR curve.\"\"\"\r\n    last_precision = None\r\n    last_recall = None\r\n    new_precisions = []\r\n    new_recalls = []\r\n    new_thresholds = []\r\n    for i in range(len(precisions)):\r\n        if last_precision is None or abs(recalls[i] -\r\n                                         last_recall) >= resolution:\r\n            new_precisions.append(precisions[i])\r\n            last_precision = precisions[i]\r\n            new_recalls.append(recalls[i])\r\n            last_recall = recalls[i]\r\n            new_thresholds.append(thresholds[i])\r\n    return np.array(new_precisions), np.array(new_recalls), np.array(\r\n        new_thresholds)\r\n\r\n\r\ndef assign_tp_fp_fn(predictions_df, ground_truth_df, threshold):\r\n    \"\"\"Return a new predictions dataframe where each row is assigned as either a TP, FP or FN.\"\"\"\r\n    combined = merge_predictions_and_ground_truth(predictions_df,\r\n                                                  ground_truth_df)\r\n\r\n    combined['tp'] = (combined['gt'] == True) & (combined['value'] > threshold)\r\n    combined['fp'] = (combined['gt'] == False) & (combined['value'] >\r\n                                                  threshold)\r\n    combined['fn'] = (combined['gt'] == True) & (combined['value'] < threshold)\r\n    return combined"
  },
  {
    "path": "colab_evaluation_test.py",
    "content": "# coding=utf-8\r\n# Copyright 2020 The Google Research Authors.\r\n#\r\n# Licensed under the Apache License, Version 2.0 (the \"License\");\r\n# you may not use this file except in compliance with the License.\r\n# You may obtain a copy of the License at\r\n#\r\n#     http://www.apache.org/licenses/LICENSE-2.0\r\n#\r\n# Unless required by applicable law or agreed to in writing, software\r\n# distributed under the License is distributed on an \"AS IS\" BASIS,\r\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\r\n# See the License for the specific language governing permissions and\r\n# limitations under the License.\r\n\"\"\"Tests for module colab_evaluation.py.\"\"\"\r\n\r\nimport gzip\r\nimport os\r\nimport time\r\nimport math\r\n\r\nfrom absl import flags\r\nfrom absl.testing import absltest\r\nfrom absl.testing import parameterized\r\nimport numpy as np\r\nimport pandas as pd\r\nimport colab_evaluation\r\nimport inference\r\nimport tensorflow.compat.v1 as tf\r\n\r\nFLAGS = flags.FLAGS\r\n\r\n\r\nclass ColabEvaluationTest(parameterized.TestCase):\r\n    def _generate_random_inferences(self, n):\r\n        serialized_inferences = []\r\n        accessions_list = []\r\n        activations_list = []\r\n\r\n        for _ in range(n):\r\n            accession = f\"ACCESSION_{time.time()}\"\r\n            activations = np.random.rand(100)\r\n            accessions_list.append(accession)\r\n            activations_list.append(activations)\r\n            serialized_inferences.append(\r\n                inference.serialize_inference_result(accession, activations))\r\n\r\n        return serialized_inferences, accessions_list, activations_list\r\n\r\n    @parameterized.parameters([{'batch_size': 1}, {'batch_size': 9}])\r\n    def test_batched_inferences_from_dir(self, batch_size, num_examples=100):\r\n\r\n        # Create input inference results.\r\n\r\n        serialized_inferences, accessions_list, activations_list = self._generate_random_inferences(\r\n            num_examples)\r\n\r\n        shard_1_contents = b\"\\n\".join(serialized_inferences[0:60])\r\n        shard_2_contents = b\"\\n\".join(serialized_inferences[60:])\r\n\r\n        shard_dir = self.create_tempdir()\r\n\r\n        shard_1_filename = shard_dir.create_file('shard_1').full_path\r\n        shard_2_filename = shard_dir.create_file('shard_2').full_path\r\n\r\n        # Write contents to a gzipped file.\r\n        with tf.io.gfile.GFile(shard_1_filename, 'wb') as f:\r\n            with gzip.GzipFile(fileobj=f, mode='wb') as f_gz:\r\n                f_gz.write(shard_1_contents)\r\n\r\n        with tf.io.gfile.GFile(shard_2_filename, 'wb') as f:\r\n            with gzip.GzipFile(fileobj=f, mode='wb') as f_gz:\r\n                f_gz.write(shard_2_contents)\r\n\r\n        # Read these shards.\r\n\r\n        iterator = colab_evaluation.batched_inferences_from_dir(\r\n            shard_dir.full_path, batch_size=batch_size)\r\n\r\n        actual = list(iterator)\r\n\r\n        # Check output.\r\n\r\n        self.assertEqual(len(actual), math.ceil(num_examples / batch_size))\r\n        self.assertEqual(actual[0][0][0], accessions_list[0])\r\n        if batch_size > 1:\r\n            self.assertEqual(actual[1][0][1], accessions_list[batch_size + 1])\r\n        np.testing.assert_equal(actual[0][1][0], activations_list[0])\r\n        if batch_size > 1:\r\n            np.testing.assert_equal(actual[1][1][1],\r\n                                    activations_list[batch_size + 1])\r\n\r\n    def test_make_tidy_df_from_seq_names_and_prediction_array(self):\r\n        vocab = [\"ENTRY0\", \"ENTRY1\", \"ENTRY2\"]\r\n        sequence_names = ['SEQ0', 'SEQ1']\r\n        predictions_array = np.array([[0.1, 0.9, 0.5], [1, 1, 1]])\r\n        min_decision_threshold = 0.4\r\n        actual_df = colab_evaluation._make_tidy_df_from_seq_names_and_prediction_array(\r\n            sequence_names,\r\n            predictions_array,\r\n            vocab,\r\n            min_decision_threshold=min_decision_threshold)\r\n        expected_df = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ0', 'SEQ1', 'SEQ1', 'SEQ1'],\r\n            'label': ['ENTRY1', 'ENTRY2', 'ENTRY0', 'ENTRY1', 'ENTRY2'],\r\n            'value': [0.9, 0.5, 1.0, 1.0, 1.0]\r\n        })\r\n        pd.testing.assert_frame_equal(actual_df, expected_df)\r\n\r\n    def test_make_tidy_df_from_ground_truth(self):\r\n        input_df = pd.DataFrame({\r\n            'sequence_name': ['SEQ0', 'SEQ1', 'SEQ2', 'SEQ3'],\r\n            'true_label': [['ENTRY1'], ['ENTRY1', 'ENTRY2'], [], ['ENTRY6']]\r\n        })\r\n        actual_df = colab_evaluation.make_tidy_df_from_ground_truth(input_df)\r\n        expected_df = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ1', 'SEQ1', 'SEQ3'],\r\n            'label': ['ENTRY1', 'ENTRY1', 'ENTRY2', 'ENTRY6'],\r\n            'gt': [True, True, True, True]\r\n        })\r\n        pd.testing.assert_frame_equal(actual_df, expected_df)\r\n\r\n    def test_merge_predictions_and_ground_truth(self):\r\n        pred = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ0', 'SEQ1', 'SEQ1', 'SEQ1'],\r\n            'label': ['ENTRY1', 'ENTRY2', 'ENTRY0', 'ENTRY1', 'ENTRY2'],\r\n            'value': [0.9, 0.5, 1.0, 1.0, 1.0]\r\n        })\r\n        gt = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ1', 'SEQ1', 'SEQ3'],\r\n            'label': ['ENTRY1', 'ENTRY1', 'ENTRY2', 'ENTRY6'],\r\n            'gt': [True, True, True, True]\r\n        })\r\n        actual_df = colab_evaluation.merge_predictions_and_ground_truth(\r\n            pred, gt)\r\n        expected_df = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ0', 'SEQ1', 'SEQ1', 'SEQ1', 'SEQ3'],\r\n            'label':\r\n            ['ENTRY1', 'ENTRY2', 'ENTRY0', 'ENTRY1', 'ENTRY2', 'ENTRY6'],\r\n            'value': [0.9, 0.5, 1.0, 1.0, 1.0, False],\r\n            'gt': [True, False, False, True, True, True]\r\n        })\r\n        pd.testing.assert_frame_equal(actual_df, expected_df)\r\n\r\n    def test_get_pr_curve_df(self):\r\n        pred = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ0', 'SEQ1', 'SEQ1', 'SEQ1'],\r\n            'label': ['ENTRY1', 'ENTRY2', 'ENTRY0', 'ENTRY1', 'ENTRY2'],\r\n            'value': [0.9, 0.5, 1.0, 1.0, 1.0]\r\n        })\r\n        gt = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ1', 'SEQ1', 'SEQ3'],\r\n            'label': ['ENTRY1', 'ENTRY1', 'ENTRY2', 'ENTRY6'],\r\n            'gt': [True, True, True, True]\r\n        })\r\n        pr_curve = colab_evaluation.get_pr_curve_df(pred, gt, filtered=False)\r\n\r\n        np.testing.assert_almost_equal(pr_curve['recall'],\r\n                                       np.array([1, 0.75, 0.75, .5]))\r\n        np.testing.assert_almost_equal(\r\n            pr_curve['precision'], np.array([0.6666667, 0.6, 0.75, 0.6666667]))\r\n        np.testing.assert_almost_equal(\r\n            pr_curve['f1'], np.array([0.8, 0.6666667, 0.75, 0.5714286]))\r\n\r\n    def test_assign_tp_fp_fn(self):\r\n        pred = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ0', 'SEQ1', 'SEQ1', 'SEQ1'],\r\n            'label': ['ENTRY1', 'ENTRY2', 'ENTRY0', 'ENTRY1', 'ENTRY2'],\r\n            'value': [0.9, 0.5, 1.0, 1.0, 1.0]\r\n        })\r\n        gt = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ1', 'SEQ1', 'SEQ3'],\r\n            'label': ['ENTRY1', 'ENTRY1', 'ENTRY2', 'ENTRY6'],\r\n            'gt': [True, True, True, True]\r\n        })\r\n        tp_fp_fn = colab_evaluation.assign_tp_fp_fn(pred, gt, threshold=0.5)\r\n\r\n        expected = pd.DataFrame({\r\n            'tp': [True, False, False, True, True, False],\r\n            'fp': [False, False, True, False, False, False],\r\n            'fn': [False, False, False, False, False, True]\r\n        })\r\n        actual = tp_fp_fn.loc[:, [\"tp\", \"fp\", \"fn\"]]\r\n        pd.testing.assert_frame_equal(expected, actual)\r\n\r\n\r\n    def test_apply_threshold_and_return_stats(self):\r\n        pred = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ0', 'SEQ1', 'SEQ1', 'SEQ1'],\r\n            'label': ['ENTRY1', 'ENTRY2', 'ENTRY0', 'ENTRY1', 'ENTRY2'],\r\n            'value': [0.9, 0.5, 1.0, 1.0, 1.0]\r\n        })\r\n        gt = pd.DataFrame({\r\n            'up_id': ['SEQ0', 'SEQ1', 'SEQ1', 'SEQ3'],\r\n            'label': ['ENTRY1', 'ENTRY1', 'ENTRY2', 'ENTRY6'],\r\n            'gt': [True, True, True, True]\r\n        })\r\n        actual = colab_evaluation.apply_threshold_and_return_stats(pred,gt,grouping = {\"ENTRY0\":'A',\"ENTRY1\":'A',\"ENTRY2\":'A',\"ENTRY6\":'A'})\r\n        expected = pd.DataFrame({\r\n            'group': ['A'],\r\n            'tp': [3.0],\r\n            'fp': [1.0],\r\n            'fn': [1.0],\r\n            'precision': [0.75],\r\n            'recall': [0.75],\r\n            'f1': [0.75],\r\n            'count': [4.0],\r\n            'proportion': [1.0],\r\n            'proportion_text': ['100.0%'],\r\n            'threshold': [0.5]\r\n        })\r\n        pd.testing.assert_frame_equal(actual,expected, check_dtype=False)\r\n\r\n\r\n    def test_read_blast_table(self):\r\n        actual = colab_evaluation.read_blast_table(\"testdata/blast.tsv\")\r\n        expected = pd.DataFrame({'up_id': ['ABC'], 'target': ['DEF'], 'pc_identity': [50], 'alignment_length': [100], 'bit_score': [500]})\r\n        pd.testing.assert_frame_equal(actual, expected)\r\n\r\nif __name__ == '__main__':\r\n    absltest.main()\r\n"
  },
  {
    "path": "colabs/Class_Activation_Mapping.ipynb",
    "content": "{\n  \"nbformat\": 4,\n  \"nbformat_minor\": 2,\n  \"metadata\": {\n    \"accelerator\": \"GPU\",\n    \"colab\": {\n      \"name\": \"Copy of Proteinfer CAM v3\",\n      \"provenance\": [],\n      \"collapsed_sections\": []\n    },\n    \"kernelspec\": {\n      \"display_name\": \"Python 3\",\n      \"name\": \"python3\"\n    }\n  },\n  \"cells\": [\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"# Licensed under the Apache License, Version 2.0 (the \\\"License\\\");\\r\\n\",\n        \"# you may not use this file except in compliance with the License.\\r\\n\",\n        \"# You may obtain a copy of the License at\\r\\n\",\n        \"#\\r\\n\",\n        \"# https://www.apache.org/licenses/LICENSE-2.0\\r\\n\",\n        \"#\\r\\n\",\n        \"# Unless required by applicable law or agreed to in writing, software\\r\\n\",\n        \"# distributed under the License is distributed on an \\\"AS IS\\\" BASIS,\\r\\n\",\n        \"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\\r\\n\",\n        \"# See the License for the specific language governing permissions and\\r\\n\",\n        \"# limitations under the License.\"\n      ],\n      \"outputs\": [],\n      \"metadata\": {\n        \"id\": \"WkkXLGBrycfx\"\n      }\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"# ProteInfer Class Activation Mapping (CAM)\\n\",\n        \"\\n\"\n      ],\n      \"metadata\": {\n        \"id\": \"XdR-yrNv9Fgk\"\n      }\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"\\n\",\n        \"## Initial setup (code/data download)\"\n      ],\n      \"metadata\": {\n        \"id\": \"Rqbcum1HM8aL\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"!git clone https://github.com/google-research/proteinfer \\r\\n\",\n        \"\\r\\n\",\n        \"%cd proteinfer\\r\\n\",\n        \"!pip3 install -qr  requirements.txt\\r\\n\",\n        \"\\r\\n\",\n        \"import pandas as pd\\r\\n\",\n        \"import tensorflow\\r\\n\",\n        \"import inference\\r\\n\",\n        \"import parenthood_lib\\r\\n\",\n        \"import baseline_utils,subprocess\\r\\n\",\n        \"import shlex\\r\\n\",\n        \"import tqdm \\r\\n\",\n        \"import sklearn\\r\\n\",\n        \"import numpy as np\\r\\n\",\n        \"import utils\\r\\n\",\n        \"import colab_evaluation\\r\\n\",\n        \"import plotly.express as px\\r\\n\",\n        \"import seaborn as sns\\r\\n\",\n        \"\\r\\n\",\n        \"from plotnine import ggplot, geom_point, geom_point, geom_line, aes, stat_smooth, facet_wrap, xlim,coord_cartesian,theme_bw,labs,ggsave\\r\\n\"\n      ],\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"Cloning into 'proteinfer'...\\n\",\n            \"remote: Enumerating objects: 491, done.\\u001b[K\\n\",\n            \"remote: Counting objects: 100% (214/214), done.\\u001b[K\\n\",\n            \"remote: Compressing objects: 100% (177/177), done.\\u001b[K\\n\",\n            \"remote: Total 491 (delta 96), reused 49 (delta 20), pack-reused 277\\u001b[K\\n\",\n            \"Receiving objects: 100% (491/491), 11.55 MiB | 8.51 MiB/s, done.\\n\",\n            \"Resolving deltas: 100% (235/235), done.\\n\",\n            \"/content/proteinfer\\n\",\n            \"\\u001b[K     |████████████████████████████████| 99 kB 3.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 2.3 MB 30.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 10.8 MB 26.8 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 2.8 MB 29.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 50 kB 6.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 59 kB 6.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 89 kB 7.5 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 56 kB 4.8 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 17.3 MB 48 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 10.5 MB 34.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 107 kB 50.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 13.1 MB 35.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 4.4 MB 33.5 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 226 kB 48.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 6.8 MB 35.5 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 110.5 MB 50 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 411.0 MB 22 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 503 kB 47.9 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 103 kB 54.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 45 kB 3.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 328 kB 42.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 63 kB 1.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 9.5 MB 38.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 3.8 MB 38.5 MB/s \\n\",\n            \"\\u001b[?25h  Building wheel for absl-py (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"  Building wheel for gast (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"\\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\\n\",\n            \"xarray 0.18.2 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"tensorflow-probability 0.13.0 requires gast>=0.3.2, but you have gast 0.2.2 which is incompatible.\\n\",\n            \"tensorflow-metadata 1.2.0 requires absl-py<0.13,>=0.9, but you have absl-py 0.7.1 which is incompatible.\\n\",\n            \"spacy 2.2.4 requires tqdm<5.0.0,>=4.38.0, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"pyerfa 2.0.0 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"pyarrow 3.0.0 requires numpy>=1.16.6, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"panel 0.12.1 requires tqdm>=4.48.0, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires numpy>=1.18.5, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires tensorflow>=2.0.0, but you have tensorflow 1.15.4 which is incompatible.\\n\",\n            \"jaxlib 0.1.70+cuda110 requires numpy>=1.18, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"jax 0.2.19 requires numpy>=1.18, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires astor~=0.8.1, but you have astor 0.7.1 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires six~=1.15.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"google-api-python-client 1.12.8 requires six<2dev,>=1.13.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"google-api-core 1.26.3 requires six>=1.13.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"fbprophet 0.7.1 requires tqdm>=4.36.1, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\\n\",\n            \"cupy-cuda101 9.1.0 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"astropy 4.3.1 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\\u001b[0m\\n\"\n          ]\n        }\n      ],\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"UbK8U6SEKqUU\",\n        \"outputId\": \"b41adc0f-c74e-4a26-fd34-93ad42ee4989\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/models/zipped_models/noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\\r\\n\",\n        \"!tar xzf noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\\r\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/parenthood.json.gz\\r\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/fasta_files/SWISSPROT_RANDOM_EC/eval_test.fasta\\r\\n\",\n        \"\\r\\n\"\n      ],\n      \"outputs\": [],\n      \"metadata\": {\n        \"id\": \"T7OLyg9DF3uw\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"def get_ec_num_mapping():\\r\\n\",\n        \"  tree = ET.parse('enzyme-data.xml')\\r\\n\",\n        \"  root = tree.getroot()\\r\\n\",\n        \"  rows = root[0][3].findall('row')\\r\\n\",\n        \"  rows = root.findall(\\\".//field[@name='accepted_name']..\\\")\\r\\n\",\n        \"  ec_nums = {}\\r\\n\",\n        \"  for row in rows:\\r\\n\",\n        \"      ec_num = row.find(\\\".//*[@name='ec_num']\\\").text\\r\\n\",\n        \"      name = row.find(\\\".//*[@name='accepted_name']\\\").text\\r\\n\",\n        \"      try:\\r\\n\",\n        \"        ec_nums[ec_num]=name\\r\\n\",\n        \"      except TypeError:\\r\\n\",\n        \"        continue\\r\\n\",\n        \"  return ec_nums\\r\\n\",\n        \"\\r\\n\",\n        \"def download_dataset():\\r\\n\",\n        \"  total = 13\\r\\n\",\n        \"  file_shard_names = ['https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-{:05d}-of-{:05d}.tfrecord'.format(i,total) for i in range(total)]\\r\\n\",\n        \"\\r\\n\",\n        \"  for shard_name in tqdm.tqdm(file_shard_names, position=0,desc=\\\"Downloading\\\"):\\r\\n\",\n        \"    subprocess.check_output(shlex.split(f'wget {shard_name}'))\\r\\n\",\n        \"  return \"\n      ],\n      \"outputs\": [],\n      \"metadata\": {\n        \"id\": \"ERnBaCG_O00k\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"\\r\\n\",\n        \"import matplotlib as mpl\\r\\n\",\n        \"mpl.rcParams['figure.dpi'] = 100\\r\\n\",\n        \"!wget -qN https://www.enzyme-database.org/downloads/enzyme-data.xml.gz\\r\\n\",\n        \"!gunzip -f enzyme-data.xml.gz\\r\\n\",\n        \"\\r\\n\",\n        \"\\r\\n\",\n        \"import xml.etree.ElementTree as ET\\r\\n\",\n        \"\\r\\n\",\n        \"\\r\\n\",\n        \"ec_nums = get_ec_num_mapping()\\r\\n\",\n        \"download_dataset()\"\n      ],\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Downloading: 100%|██████████| 13/13 [00:04<00:00,  2.02it/s]\\n\"\n          ]\n        }\n      ],\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"FrEsBu1CA7Ut\",\n        \"outputId\": \"c4117fd4-ff22-4e67-cde9-55e7ddc20721\"\n      }\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"##Read in the test dataset\"\n      ],\n      \"metadata\": {\n        \"id\": \"KWu0UovMMzEC\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"import protein_dataset\\r\\n\",\n        \"import tqdm\\r\\n\",\n        \"import numpy as np\\r\\n\",\n        \"sequence_iterator = protein_dataset.yield_examples(\\\"./test*.tfrecord\\\")\\r\\n\",\n        \"sequences = []\\r\\n\",\n        \"labels = []\\r\\n\",\n        \"ids = []\\r\\n\",\n        \"for example in tqdm.tqdm(sequence_iterator):\\r\\n\",\n        \"  ids.append(example[protein_dataset.SEQUENCE_ID_KEY])\\r\\n\",\n        \"  sequences.append(example[protein_dataset.SEQUENCE_KEY])\\r\\n\",\n        \"  labels.append(example[protein_dataset.LABEL_KEY])\\r\\n\",\n        \"\\r\\n\",\n        \"# If we want to optimise for inference speed we should sort the dataset by\\r\\n\",\n        \"# sequence length:\\r\\n\",\n        \"seq_lengths = [len(x) for x in sequences]\\r\\n\",\n        \"indices = np.argsort(-np.array(seq_lengths)).tolist()\\r\\n\",\n        \"\\r\\n\",\n        \"ids = [ids[indices[x]] for x in range(len(indices))]\\r\\n\",\n        \"sequences = [sequences[indices[x]] for x in range(len(indices))]\\r\\n\",\n        \"labels = [set(labels[indices[x]]) for x in range(len(indices))]\"\n      ],\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"\\r0it [00:00, ?it/s]WARNING: Logging before flag parsing goes to stderr.\\n\",\n            \"W0909 12:36:54.501479 140666907211648 deprecation.py:323] From /content/proteinfer/protein_dataset.py:290: DatasetV1.make_one_shot_iterator (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.\\n\",\n            \"Instructions for updating:\\n\",\n            \"Use `for ... in dataset:` to iterate over a dataset. If using `tf.estimator`, return the `Dataset` object directly from your input function. As a last resort, you can use `tf.compat.v1.data.make_one_shot_iterator(dataset)`.\\n\",\n            \"54285it [00:27, 1953.67it/s]\\n\"\n          ]\n        }\n      ],\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"RlyjYvhL9W8t\",\n        \"outputId\": \"4db10071-5e40-41c9-bea3-2b2a7167ceaa\"\n      }\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"## Load the saved model\"\n      ],\n      \"metadata\": {\n        \"id\": \"8pScRsRCwX2H\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"inferrer = inference.Inferrer(\\r\\n\",\n        \"    'noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140',use_tqdm= True, batch_size=32,activation_type=\\\"representation\\\"\\r\\n\",\n        \")\\r\\n\",\n        \"\\r\\n\",\n        \"label_vocab = list(inferrer.get_variable('label_vocab:0').astype(str))\\r\\n\",\n        \"label_normalizer = parenthood_lib.get_applicable_label_dict(\\r\\n\",\n        \"    'parenthood.json.gz')\\r\\n\",\n        \"\\r\\n\",\n        \"\\r\\n\",\n        \"kernel = inferrer.get_variable(\\\"logits/kernel/read:0\\\")\\r\\n\",\n        \"\\r\\n\"\n      ],\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"W0909 12:37:24.753336 140666907211648 deprecation.py:323] From /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\\n\",\n            \"Instructions for updating:\\n\",\n            \"Use tf.where in 2.0, which has the same broadcast rule as np.where\\n\"\n          ]\n        }\n      ],\n      \"metadata\": {\n        \"id\": \"zljPgF2BMBj-\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"outputId\": \"7cc5050c-877f-4bf0-91a2-d6638a2f4997\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"def get_multi_full_ec(labels, desired_number=3):\\r\\n\",\n        \"  subset = [x for x in labels if x.startswith(b\\\"EC:\\\")]\\r\\n\",\n        \"  subset = [x for x in subset if b'-' not in x]\\r\\n\",\n        \"  if len(subset)==desired_number:\\r\\n\",\n        \"    return subset\\r\\n\",\n        \"  else:\\r\\n\",\n        \"    return []\"\n      ],\n      \"outputs\": [],\n      \"metadata\": {\n        \"id\": \"EoIhtq-6f69y\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"def moving_average(a, n=3) :\\r\\n\",\n        \"    new = np.zeros_like(a)\\r\\n\",\n        \"    length_dim = a.shape[0]\\r\\n\",\n        \"    for i in range(length_dim):\\r\\n\",\n        \"      new[i,:]=np.mean(a[np.maximum(i-n,0):np.minimum(i+n,length_dim),:],axis=0)\\r\\n\",\n        \"    return new\\r\\n\"\n      ],\n      \"outputs\": [],\n      \"metadata\": {\n        \"id\": \"W9h1rwNQk2yE\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"from matplotlib import colors as clr\\r\\n\",\n        \"from matplotlib import pyplot as plt\\r\\n\",\n        \"palette = clr.LinearSegmentedColormap.from_list('custom blue', ['#FFFFFF','#EEEEEE','#00EE00'], N=256)\"\n      ],\n      \"outputs\": [],\n      \"metadata\": {\n        \"id\": \"yxJF7xQYG13_\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"items_that_satisfy_criteria = []\\r\\n\",\n        \"for i in range(len(sequences)):\\r\\n\",\n        \"  new_lab = get_multi_full_ec(labels[i],desired_number=2)\\r\\n\",\n        \"  new_seq = sequences[i]\\r\\n\",\n        \"  new_id = ids[i]\\r\\n\",\n        \"  if len(new_lab)>0:\\r\\n\",\n        \"    items_that_satisfy_criteria.append({'labels':new_lab, 'sequence':new_seq, 'id':new_id})\\r\\n\"\n      ],\n      \"outputs\": [],\n      \"metadata\": {\n        \"id\": \"pFaTvOjAR0Il\"\n      }\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"source\": [\n        \"## Perform inference\"\n      ],\n      \"metadata\": {\n        \"id\": \"FhGd6pdzodrP\"\n      }\n    },\n    {\n      \"cell_type\": \"code\",\n      \"execution_count\": null,\n      \"source\": [\n        \"counter = 0\\r\\n\",\n        \"\\r\\n\",\n        \"sns.set_style(\\\"whitegrid\\\")\\r\\n\",\n        \"sns.set(rc={'figure.figsize': (15, 35)})\\r\\n\",\n        \"\\r\\n\",\n        \"one_by_one = False\\r\\n\",\n        \"ids = ['Q4LB35', 'Q54QE4', 'P54889', 'Q9PLG1', 'O94632', 'P19835', 'Q3MEJ8']\\r\\n\",\n        \"if True:\\r\\n\",\n        \"    sns.set(rc={'figure.figsize': (15, 2)})\\r\\n\",\n        \"\\r\\n\",\n        \"for item in items_that_satisfy_criteria:\\r\\n\",\n        \"    if item['id'].decode() in ids or one_by_one:\\r\\n\",\n        \"\\r\\n\",\n        \"        the_labels = item['labels']\\r\\n\",\n        \"        representation = inferrer.get_activations(\\r\\n\",\n        \"            [item['sequence'].decode(\\\"utf-8\\\")])\\r\\n\",\n        \"        label_ids = [label_vocab.index(x.decode('utf-8')) for x in the_labels]\\r\\n\",\n        \"        contributions = np.matmul(representation.squeeze(),\\r\\n\",\n        \"                                  kernel)[:, label_ids]\\r\\n\",\n        \"\\r\\n\",\n        \"        sum_contributions = contributions.sum(axis=1)\\r\\n\",\n        \"        contributions = np.maximum(contributions, 0)\\r\\n\",\n        \"        contributions = moving_average(contributions, 80)\\r\\n\",\n        \"        contributions = contributions / contributions.max(axis=0,\\r\\n\",\n        \"                                                          keepdims=True)\\r\\n\",\n        \"\\r\\n\",\n        \"        df = pd.DataFrame(contributions.T)\\r\\n\",\n        \"        try:\\r\\n\",\n        \"            df.index = [\\r\\n\",\n        \"                ec_nums[x.decode().replace(\\\"EC:\\\", \\\"\\\")].replace(\\r\\n\",\n        \"                    \\\"<em>\\\",\\r\\n\",\n        \"                    \\\"\\\").replace(\\\"</em>\\\",\\r\\n\",\n        \"                                \\\"\\\").replace(\\\"<small>\\\",\\r\\n\",\n        \"                                            \\\"\\\").replace(\\\"</small>\\\", \\\"\\\")\\r\\n\",\n        \"                for x in the_labels\\r\\n\",\n        \"            ]\\r\\n\",\n        \"        except KeyError:\\r\\n\",\n        \"            continue\\r\\n\",\n        \"        print(item['id'].decode())\\r\\n\",\n        \"        ax = None\\r\\n\",\n        \"        if False:\\r\\n\",\n        \"            ax = axes[counter]\\r\\n\",\n        \"        try:\\r\\n\",\n        \"            g = sns.heatmap(df, cmap=palette, xticklabels=500, ax=ax, vmin=0)\\r\\n\",\n        \"            counter += 1\\r\\n\",\n        \"            g.set_title(item['id'].decode())\\r\\n\",\n        \"            for _, spine in g.spines.items():\\r\\n\",\n        \"                spine.set_visible(True)\\r\\n\",\n        \"            plt.yticks(rotation=0)\\r\\n\",\n        \"            plt.xticks(rotation=0)\\r\\n\",\n        \"            plt.subplots_adjust(hspace=0.7)\\r\\n\",\n        \"        except ValueError:\\r\\n\",\n        \"            continue\\r\\n\",\n        \"\\r\\n\",\n        \"        if True:\\r\\n\",\n        \"            plt.show()\\r\\n\",\n        \"\\r\\n\",\n        \"plt.show()\\r\\n\"\n      ],\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Annotating batches of sequences: 100%|██████████| 1/1 [00:01<00:00,  1.06s/it]\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"Q54QE4\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\",\n            \"text/plain\": [\n              \"<Figure size 1500x200 with 2 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Annotating batches of sequences: 100%|██████████| 1/1 [00:00<00:00,  1.17it/s]\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"Q9PLG1\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\",\n            \"text/plain\": [\n              \"<Figure size 1500x200 with 2 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Annotating batches of sequences: 100%|██████████| 1/1 [00:00<00:00,  1.20it/s]\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"P54889\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\",\n            \"text/plain\": [\n              \"<Figure size 1500x200 with 2 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Annotating batches of sequences: 100%|██████████| 1/1 [00:00<00:00,  1.21it/s]\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"O94632\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\",\n            \"text/plain\": [\n              \"<Figure size 1500x200 with 2 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Annotating batches of sequences: 100%|██████████| 1/1 [00:00<00:00,  1.24it/s]\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"P19835\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\",\n            \"text/plain\": [\n              \"<Figure size 1500x200 with 2 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Annotating batches of sequences: 100%|██████████| 1/1 [00:00<00:00,  1.72it/s]\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"Q3MEJ8\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\",\n            \"text/plain\": [\n              \"<Figure size 1500x200 with 2 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        }\n      ],\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 1000\n        },\n        \"id\": \"0G1Njx6VyF58\",\n        \"outputId\": \"4d507d58-7cc7-43ba-8c54-41b21fc14e1c\"\n      }\n    }\n  ]\n}"
  },
  {
    "path": "colabs/Embeddings.ipynb",
    "content": "{\n  \"nbformat\": 4,\n  \"nbformat_minor\": 0,\n  \"metadata\": {\n    \"accelerator\": \"GPU\",\n    \"colab\": {\n      \"name\": \"Proteinfer Embedding Analysis V2\",\n      \"provenance\": [],\n      \"collapsed_sections\": [\n        \"Rqbcum1HM8aL\",\n        \"KWu0UovMMzEC\",\n        \"8pScRsRCwX2H\",\n        \"IsyTzFspnTUu\"\n      ]\n    },\n    \"kernelspec\": {\n      \"display_name\": \"Python 3\",\n      \"name\": \"python3\"\n    }\n  },\n  \"cells\": [\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"Rqbcum1HM8aL\"\n      },\n      \"source\": [\n        \"\\n\",\n        \"## Initial setup (code/data download)\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"kv5wiyegq1ge\",\n        \"outputId\": \"9569d668-75bc-4652-d5e6-54f8fef69a54\"\n      },\n      \"source\": [\n        \"\\n\",\n        \"%tensorflow_version 1\\n\",\n        \"!wget https://github.com/lmcinnes/umap/archive/master.zip\\n\",\n        \"!unzip -q master.zip\\n\",\n        \"!rm master.zip\\n\",\n        \"!cd umap-master\"\n      ],\n      \"execution_count\": 1,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"`%tensorflow_version` only switches the major version: 1.x or 2.x.\\n\",\n            \"You set: `1`. This will be interpreted as: `1.x`.\\n\",\n            \"\\n\",\n            \"\\n\",\n            \"TensorFlow 1.x selected.\\n\",\n            \"--2021-09-20 20:34:36--  https://github.com/lmcinnes/umap/archive/master.zip\\n\",\n            \"Resolving github.com (github.com)... 140.82.112.4\\n\",\n            \"Connecting to github.com (github.com)|140.82.112.4|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 302 Found\\n\",\n            \"Location: https://codeload.github.com/lmcinnes/umap/zip/master [following]\\n\",\n            \"--2021-09-20 20:34:36--  https://codeload.github.com/lmcinnes/umap/zip/master\\n\",\n            \"Resolving codeload.github.com (codeload.github.com)... 140.82.113.9\\n\",\n            \"Connecting to codeload.github.com (codeload.github.com)|140.82.113.9|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: unspecified [application/zip]\\n\",\n            \"Saving to: ‘master.zip’\\n\",\n            \"\\n\",\n            \"master.zip              [         <=>        ]  39.12M  15.1MB/s    in 2.6s    \\n\",\n            \"\\n\",\n            \"2021-09-20 20:34:39 (15.1 MB/s) - ‘master.zip’ saved [41020921]\\n\",\n            \"\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"arKZBwHZseQU\",\n        \"outputId\": \"12e0b673-9e70-4c2c-fdcb-77f0376cf7e0\"\n      },\n      \"source\": [\n        \"%cd umap-master/\\n\",\n        \"!ls\"\n      ],\n      \"execution_count\": 2,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"/content/umap-master\\n\",\n            \"appveyor.yml\\t     doc\\t\\t    Makefile\\trequirements.txt\\n\",\n            \"azure-pipelines.yml  docs_requirements.txt  notebooks\\tsetup.py\\n\",\n            \"ci_scripts\\t     examples\\t\\t    paper.bib\\tumap\\n\",\n            \"CODE_OF_CONDUCT.md   images\\t\\t    paper.md\\n\",\n            \"CONTRIBUTING.md      LICENSE.txt\\t    README.rst\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"BiuQKLG1sZ_U\",\n        \"outputId\": \"7dc562fc-b72a-4999-cf91-4c2b0e46be2d\"\n      },\n      \"source\": [\n        \"!pip3 install -r requirements.txt\"\n      ],\n      \"execution_count\": 3,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 1)) (1.19.5)\\n\",\n            \"Requirement already satisfied: scipy>=1.3.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 2)) (1.4.1)\\n\",\n            \"Requirement already satisfied: scikit-learn>=0.22 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 3)) (0.22.2.post1)\\n\",\n            \"Requirement already satisfied: numba>=0.51.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 4)) (0.51.2)\\n\",\n            \"Collecting pynndescent>=0.5\\n\",\n            \"  Downloading pynndescent-0.5.4.tar.gz (1.1 MB)\\n\",\n            \"\\u001b[K     |████████████████████████████████| 1.1 MB 10.5 MB/s \\n\",\n            \"\\u001b[?25hCollecting tbb>=2019.0\\n\",\n            \"  Downloading tbb-2021.3.0-py2.py3-none-manylinux1_x86_64.whl (4.1 MB)\\n\",\n            \"\\u001b[K     |████████████████████████████████| 4.1 MB 36.8 MB/s \\n\",\n            \"\\u001b[?25hRequirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 7)) (4.62.2)\\n\",\n            \"Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.22->-r requirements.txt (line 3)) (1.0.1)\\n\",\n            \"Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /usr/local/lib/python3.7/dist-packages (from numba>=0.51.2->-r requirements.txt (line 4)) (0.34.0)\\n\",\n            \"Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from numba>=0.51.2->-r requirements.txt (line 4)) (57.4.0)\\n\",\n            \"Building wheels for collected packages: pynndescent\\n\",\n            \"  Building wheel for pynndescent (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"  Created wheel for pynndescent: filename=pynndescent-0.5.4-py3-none-any.whl size=52373 sha256=dce98e806b5d2a2eb7665486af9b7c8e33ed79bda0ff60495dfe807860285ab0\\n\",\n            \"  Stored in directory: /root/.cache/pip/wheels/d0/5b/62/3401692ddad12324249c774c4b15ccb046946021e2b581c043\\n\",\n            \"Successfully built pynndescent\\n\",\n            \"Installing collected packages: tbb, pynndescent\\n\",\n            \"Successfully installed pynndescent-0.5.4 tbb-2021.3.0\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"gqnLXvYT1V5-\"\n      },\n      \"source\": [\n        \"import umap\"\n      ],\n      \"execution_count\": 4,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"rbROrZPj1lrN\",\n        \"outputId\": \"0756183b-b91f-408a-eca8-5f670d930b34\"\n      },\n      \"source\": [\n        \"!git clone https://github.com/google-research/proteinfer \\n\",\n        \"\\n\",\n        \"%cd proteinfer\\n\",\n        \"\\n\",\n        \"!pip3 install -qr  requirements.txt\\n\"\n      ],\n      \"execution_count\": 5,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"Cloning into 'proteinfer'...\\n\",\n            \"remote: Enumerating objects: 854, done.\\u001b[K\\n\",\n            \"remote: Counting objects: 100% (577/577), done.\\u001b[K\\n\",\n            \"remote: Compressing objects: 100% (419/419), done.\\u001b[K\\n\",\n            \"remote: Total 854 (delta 250), reused 366 (delta 139), pack-reused 277\\u001b[K\\n\",\n            \"Receiving objects: 100% (854/854), 102.40 MiB | 29.92 MiB/s, done.\\n\",\n            \"Resolving deltas: 100% (389/389), done.\\n\",\n            \"/content/umap-master/proteinfer\\n\",\n            \"\\u001b[K     |████████████████████████████████| 99 kB 6.0 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 2.3 MB 60.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 10.8 MB 15.5 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 2.8 MB 54.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 59 kB 9.0 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 89 kB 12.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 56 kB 6.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 17.3 MB 54 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 10.5 MB 28.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 107 kB 75.0 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 13.1 MB 14.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 4.4 MB 59.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 226 kB 78.3 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 6.8 MB 32.5 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 411.0 MB 23 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 103 kB 72.9 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 328 kB 74.9 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 63 kB 2.3 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 9.5 MB 3.4 MB/s \\n\",\n            \"\\u001b[?25h  Building wheel for absl-py (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"  Building wheel for gast (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"\\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\\n\",\n            \"lucid 0.3.10 requires umap-learn, which is not installed.\\n\",\n            \"xarray 0.18.2 requires numpy>=1.17, but you have numpy 1.16.5 which is incompatible.\\n\",\n            \"tensorflow-metadata 1.2.0 requires absl-py<0.13,>=0.9, but you have absl-py 0.7.1 which is incompatible.\\n\",\n            \"pyerfa 2.0.0 requires numpy>=1.17, but you have numpy 1.16.5 which is incompatible.\\n\",\n            \"pyarrow 3.0.0 requires numpy>=1.16.6, but you have numpy 1.16.5 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires numpy>=1.18.5, but you have numpy 1.16.5 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires tensorflow>=2.0.0, but you have tensorflow 1.15.2 which is incompatible.\\n\",\n            \"jaxlib 0.1.70+cuda111 requires numpy>=1.18, but you have numpy 1.16.5 which is incompatible.\\n\",\n            \"jax 0.2.19 requires numpy>=1.18, but you have numpy 1.16.5 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires astor~=0.8.1, but you have astor 0.7.1 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires six~=1.15.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"google-api-python-client 1.12.8 requires six<2dev,>=1.13.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"google-api-core 1.26.3 requires six>=1.13.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\\n\",\n            \"cupy-cuda111 9.4.0 requires numpy<1.24,>=1.17, but you have numpy 1.16.5 which is incompatible.\\n\",\n            \"astropy 4.3.1 requires numpy>=1.17, but you have numpy 1.16.5 which is incompatible.\\n\",\n            \"albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\\u001b[0m\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"UbK8U6SEKqUU\",\n        \"outputId\": \"6e6908e2-001b-487a-c590-edff1afa5a9b\"\n      },\n      \"source\": [\n        \"\\n\",\n        \"import pandas as pd\\n\",\n        \"import tensorflow\\n\",\n        \"import inference\\n\",\n        \"import parenthood_lib\\n\",\n        \"import baseline_utils,subprocess\\n\",\n        \"import shlex\\n\",\n        \"import tqdm \\n\",\n        \"import sklearn\\n\",\n        \"import numpy as np\\n\",\n        \"import utils\\n\",\n        \"import colab_evaluation\\n\",\n        \"import plotly.express as px\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"from plotnine import ggplot, geom_point, geom_point, geom_line, aes, stat_smooth, facet_wrap, xlim,coord_cartesian,theme_bw,labs,ggsave\\n\",\n        \"tensorflow.test.is_gpu_available()\"\n      ],\n      \"execution_count\": 6,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"True\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 6\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"YRyLcqoHzzpQ\"\n      },\n      \"source\": [\n        \"\"\n      ],\n      \"execution_count\": 6,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 0\n        },\n        \"id\": \"bw-4B4_2y8rx\",\n        \"outputId\": \"7a469f44-b850-4e6d-d81d-e0ba8d698d87\"\n      },\n      \"source\": [\n        \"!wget https://github.com/lmcinnes/umap/archive/master.zip\\n\",\n        \"!unzip -q master.zip\\n\",\n        \"!rm master.zip\\n\",\n        \"%cd umap-master\\n\",\n        \"!ls\\n\",\n        \"!pip3 install -r requirements.txt\\n\",\n        \"import umap\\n\",\n        \"%cd ..\"\n      ],\n      \"execution_count\": 7,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"--2021-09-20 20:36:39--  https://github.com/lmcinnes/umap/archive/master.zip\\n\",\n            \"Resolving github.com (github.com)... 140.82.114.4\\n\",\n            \"Connecting to github.com (github.com)|140.82.114.4|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 302 Found\\n\",\n            \"Location: https://codeload.github.com/lmcinnes/umap/zip/master [following]\\n\",\n            \"--2021-09-20 20:36:39--  https://codeload.github.com/lmcinnes/umap/zip/master\\n\",\n            \"Resolving codeload.github.com (codeload.github.com)... 140.82.114.10\\n\",\n            \"Connecting to codeload.github.com (codeload.github.com)|140.82.114.10|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: unspecified [application/zip]\\n\",\n            \"Saving to: ‘master.zip’\\n\",\n            \"\\n\",\n            \"master.zip              [         <=>        ]  39.12M  16.0MB/s    in 2.4s    \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:42 (16.0 MB/s) - ‘master.zip’ saved [41020921]\\n\",\n            \"\\n\",\n            \"/content/umap-master/proteinfer/umap-master\\n\",\n            \"appveyor.yml\\t     doc\\t\\t    Makefile\\trequirements.txt\\n\",\n            \"azure-pipelines.yml  docs_requirements.txt  notebooks\\tsetup.py\\n\",\n            \"ci_scripts\\t     examples\\t\\t    paper.bib\\tumap\\n\",\n            \"CODE_OF_CONDUCT.md   images\\t\\t    paper.md\\n\",\n            \"CONTRIBUTING.md      LICENSE.txt\\t    README.rst\\n\",\n            \"Collecting numpy>=1.17\\n\",\n            \"  Downloading numpy-1.21.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (15.7 MB)\\n\",\n            \"\\u001b[K     |████████████████████████████████| 15.7 MB 329 kB/s \\n\",\n            \"\\u001b[?25hRequirement already satisfied: scipy>=1.3.1 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 2)) (1.4.1)\\n\",\n            \"Requirement already satisfied: scikit-learn>=0.22 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 3)) (0.23.2)\\n\",\n            \"Requirement already satisfied: numba>=0.51.2 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 4)) (0.51.2)\\n\",\n            \"Requirement already satisfied: pynndescent>=0.5 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 5)) (0.5.4)\\n\",\n            \"Requirement already satisfied: tbb>=2019.0 in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 6)) (2021.3.0)\\n\",\n            \"Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from -r requirements.txt (line 7)) (4.62.2)\\n\",\n            \"Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.22->-r requirements.txt (line 3)) (1.0.1)\\n\",\n            \"Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.22->-r requirements.txt (line 3)) (2.2.0)\\n\",\n            \"Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from numba>=0.51.2->-r requirements.txt (line 4)) (57.4.0)\\n\",\n            \"Requirement already satisfied: llvmlite<0.35,>=0.34.0.dev0 in /usr/local/lib/python3.7/dist-packages (from numba>=0.51.2->-r requirements.txt (line 4)) (0.34.0)\\n\",\n            \"Installing collected packages: numpy\\n\",\n            \"  Attempting uninstall: numpy\\n\",\n            \"    Found existing installation: numpy 1.16.5\\n\",\n            \"    Uninstalling numpy-1.16.5:\\n\",\n            \"      Successfully uninstalled numpy-1.16.5\\n\",\n            \"\\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\\n\",\n            \"lucid 0.3.10 requires umap-learn, which is not installed.\\n\",\n            \"lucid 0.3.10 requires numpy<=1.19, but you have numpy 1.21.2 which is incompatible.\\n\",\n            \"tensorflow-gpu 1.15.4 requires numpy<1.19.0,>=1.16.0, but you have numpy 1.21.2 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires tensorflow>=2.0.0, but you have tensorflow 1.15.2 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires astor~=0.8.1, but you have astor 0.7.1 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires six~=1.15.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\\n\",\n            \"albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\\u001b[0m\\n\",\n            \"Successfully installed numpy-1.21.2\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"application/vnd.colab-display-data+json\": {\n              \"pip_warning\": {\n                \"packages\": [\n                  \"numpy\"\n                ]\n              }\n            }\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"/content/umap-master/proteinfer\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"T7OLyg9DF3uw\"\n      },\n      \"source\": [\n        \"\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/models/zipped_models/noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\\n\",\n        \"!tar xzf noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/parenthood.json.gz\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/fasta_files/SWISSPROT_RANDOM_EC/eval_test.fasta\\n\",\n        \"\\n\"\n      ],\n      \"execution_count\": 8,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"L8Y2qeJAJuPH\",\n        \"outputId\": \"bed5cda9-9565-4058-f3bf-8e01516bdd83\"\n      },\n      \"source\": [\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00001-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00002-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00003-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00004-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00005-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00006-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00007-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00008-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00009-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00010-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00011-of-00013.tfrecord\\n\",\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00012-of-00013.tfrecord\\n\"\n      ],\n      \"execution_count\": 9,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"--2021-09-20 20:36:54--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00001-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 2607:f8b0:4023:c0b::80, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 17162409 (16M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00001-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00001-of-00013 100%[===================>]  16.37M  75.1MB/s    in 0.2s    \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:55 (75.1 MB/s) - ‘test-00001-of-00013.tfrecord’ saved [17162409/17162409]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:55--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00002-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 74.125.137.128, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 5107497 (4.9M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00002-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00002-of-00013 100%[===================>]   4.87M  --.-KB/s    in 0.02s   \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:55 (208 MB/s) - ‘test-00002-of-00013.tfrecord’ saved [5107497/5107497]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:55--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00003-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 2607:f8b0:4023:c03::80, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 2876530 (2.7M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00003-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00003-of-00013 100%[===================>]   2.74M  --.-KB/s    in 0.02s   \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:56 (135 MB/s) - ‘test-00003-of-00013.tfrecord’ saved [2876530/2876530]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:56--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00004-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 74.125.137.128, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 1952460 (1.9M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00004-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00004-of-00013 100%[===================>]   1.86M  --.-KB/s    in 0.02s   \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:56 (115 MB/s) - ‘test-00004-of-00013.tfrecord’ saved [1952460/1952460]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:56--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00005-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.101.128, 142.250.141.128, 142.251.2.128, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.101.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 1835388 (1.8M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00005-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00005-of-00013 100%[===================>]   1.75M  --.-KB/s    in 0.01s   \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:56 (140 MB/s) - ‘test-00005-of-00013.tfrecord’ saved [1835388/1835388]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:56--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00006-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 2607:f8b0:4023:c06::80, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 691057 (675K) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00006-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00006-of-00013 100%[===================>] 674.86K  --.-KB/s    in 0.009s  \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:56 (74.8 MB/s) - ‘test-00006-of-00013.tfrecord’ saved [691057/691057]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:57--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00007-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 2607:f8b0:4023:c0b::80, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 1182345 (1.1M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00007-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00007-of-00013 100%[===================>]   1.13M  --.-KB/s    in 0.008s  \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:57 (150 MB/s) - ‘test-00007-of-00013.tfrecord’ saved [1182345/1182345]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:57--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00008-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 74.125.137.128, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 603474 (589K) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00008-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00008-of-00013 100%[===================>] 589.33K  --.-KB/s    in 0.004s  \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:57 (137 MB/s) - ‘test-00008-of-00013.tfrecord’ saved [603474/603474]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:57--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00009-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.137.128, 142.250.141.128, 142.251.2.128, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.137.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 302710 (296K) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00009-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00009-of-00013 100%[===================>] 295.62K  --.-KB/s    in 0.003s  \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:57 (107 MB/s) - ‘test-00009-of-00013.tfrecord’ saved [302710/302710]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:57--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00010-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 2607:f8b0:4023:c0b::80, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 14265593 (14M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00010-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00010-of-00013 100%[===================>]  13.60M  71.2MB/s    in 0.2s    \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:58 (71.2 MB/s) - ‘test-00010-of-00013.tfrecord’ saved [14265593/14265593]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:58--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00011-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.137.128, 142.250.141.128, 142.251.2.128, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.137.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 1525346 (1.5M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00011-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00011-of-00013 100%[===================>]   1.45M  --.-KB/s    in 0.01s   \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:58 (98.0 MB/s) - ‘test-00011-of-00013.tfrecord’ saved [1525346/1525346]\\n\",\n            \"\\n\",\n            \"--2021-09-20 20:36:58--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/datasets/swissprot/random/test-00012-of-00013.tfrecord\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 74.125.137.128, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 15807173 (15M) [application/octet-stream]\\n\",\n            \"Saving to: ‘test-00012-of-00013.tfrecord’\\n\",\n            \"\\n\",\n            \"test-00012-of-00013 100%[===================>]  15.07M  97.9MB/s    in 0.2s    \\n\",\n            \"\\n\",\n            \"2021-09-20 20:36:59 (97.9 MB/s) - ‘test-00012-of-00013.tfrecord’ saved [15807173/15807173]\\n\",\n            \"\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"KWu0UovMMzEC\"\n      },\n      \"source\": [\n        \"##Read in the test dataset\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"RlyjYvhL9W8t\",\n        \"outputId\": \"f2ad0b2e-44b2-4f10-f5ae-ffa892dff68d\"\n      },\n      \"source\": [\n        \"import protein_dataset\\n\",\n        \"import tqdm\\n\",\n        \"import numpy as np\\n\",\n        \"import pandas as pd\\n\",\n        \"sequence_iterator = protein_dataset.yield_examples(\\\"./test*.tfrecord\\\")\\n\",\n        \"sequences = []\\n\",\n        \"labels = []\\n\",\n        \"ids = []\\n\",\n        \"for example in tqdm.tqdm(sequence_iterator):\\n\",\n        \"  ids.append(example[protein_dataset.SEQUENCE_ID_KEY])\\n\",\n        \"  sequences.append(example[protein_dataset.SEQUENCE_KEY])\\n\",\n        \"  labels.append(example[protein_dataset.LABEL_KEY])\\n\",\n        \"\\n\",\n        \"# If we want to optimise for inference speed we should sort the dataset by\\n\",\n        \"# sequence length:\\n\",\n        \"seq_lengths = [len(x) for x in sequences]\\n\",\n        \"indices = np.argsort(-np.array(seq_lengths)).tolist()\\n\",\n        \"\\n\",\n        \"ids = [ids[indices[x]] for x in range(len(indices))]\\n\",\n        \"sequences = [sequences[indices[x]] for x in range(len(indices))]\\n\",\n        \"labels = [set(labels[indices[x]]) for x in range(len(indices))]\"\n      ],\n      \"execution_count\": 10,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"\\r0it [00:00, ?it/s]\"\n          ]\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"WARNING:tensorflow:From /content/umap-master/proteinfer/protein_dataset.py:290: DatasetV1.make_one_shot_iterator (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.\\n\",\n            \"Instructions for updating:\\n\",\n            \"Use `for ... in dataset:` to iterate over a dataset. If using `tf.estimator`, return the `Dataset` object directly from your input function. As a last resort, you can use `tf.compat.v1.data.make_one_shot_iterator(dataset)`.\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"36341it [00:13, 2643.47it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"8pScRsRCwX2H\"\n      },\n      \"source\": [\n        \"## Load the saved model\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"zljPgF2BMBj-\",\n        \"outputId\": \"6fe1ee09-e8d0-4885-8762-f5e64a2e162c\"\n      },\n      \"source\": [\n        \"inferrer = inference.Inferrer(\\n\",\n        \"    'noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140',use_tqdm= True, batch_size=16,activation_type=\\\"pooled_representation\\\"\\n\",\n        \")\\n\",\n        \"\\n\",\n        \"label_vocab = inferrer.get_variable('label_vocab:0').astype(str)\\n\",\n        \"label_normalizer = parenthood_lib.get_applicable_label_dict(\\n\",\n        \"    'parenthood.json.gz')\\n\"\n      ],\n      \"execution_count\": 11,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"WARNING:tensorflow:From /tensorflow-1.15.2/python3.7/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\\n\",\n            \"Instructions for updating:\\n\",\n            \"Use tf.where in 2.0, which has the same broadcast rule as np.where\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"G4C8mjwOxvhU\"\n      },\n      \"source\": [\n        \"\\n\",\n        \"kernel = inferrer.get_variable(\\\"logits/kernel/read:0\\\")\\n\"\n      ],\n      \"execution_count\": 12,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"IsyTzFspnTUu\"\n      },\n      \"source\": [\n        \"## Perform inference\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"YTDYJAsJkwng\",\n        \"outputId\": \"02634056-3a67-4d6c-d283-49efcfa7f15d\"\n      },\n      \"source\": [\n        \"a=inferrer.get_activations(sequences)\\n\",\n        \"df = pd.DataFrame(a)\"\n      ],\n      \"execution_count\": 13,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Annotating batches of sequences: 100%|██████████| 2272/2272 [12:17<00:00,  3.08it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 0\n        },\n        \"id\": \"C2OWl0GGe_JA\",\n        \"outputId\": \"42cd9dbe-d56c-4614-fd60-a55613cef43d\"\n      },\n      \"source\": [\n        \"df\"\n      ],\n      \"execution_count\": 14,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>0</th>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <th>4</th>\\n\",\n              \"      <th>5</th>\\n\",\n              \"      <th>6</th>\\n\",\n              \"      <th>7</th>\\n\",\n              \"      <th>8</th>\\n\",\n              \"      <th>9</th>\\n\",\n              \"      <th>10</th>\\n\",\n              \"      <th>11</th>\\n\",\n              \"      <th>12</th>\\n\",\n              \"      <th>13</th>\\n\",\n              \"      <th>14</th>\\n\",\n              \"      <th>15</th>\\n\",\n              \"      <th>16</th>\\n\",\n              \"      <th>17</th>\\n\",\n              \"      <th>18</th>\\n\",\n              \"      <th>19</th>\\n\",\n              \"      <th>20</th>\\n\",\n              \"      <th>21</th>\\n\",\n              \"      <th>22</th>\\n\",\n              \"      <th>23</th>\\n\",\n              \"      <th>24</th>\\n\",\n              \"      <th>25</th>\\n\",\n              \"      <th>26</th>\\n\",\n              \"      <th>27</th>\\n\",\n              \"      <th>28</th>\\n\",\n              \"      <th>29</th>\\n\",\n              \"      <th>30</th>\\n\",\n              \"      <th>31</th>\\n\",\n              \"      <th>32</th>\\n\",\n              \"      <th>33</th>\\n\",\n              \"      <th>34</th>\\n\",\n              \"      <th>35</th>\\n\",\n              \"      <th>36</th>\\n\",\n              \"      <th>37</th>\\n\",\n              \"      <th>38</th>\\n\",\n              \"      <th>39</th>\\n\",\n              \"      <th>...</th>\\n\",\n              \"      <th>1060</th>\\n\",\n              \"      <th>1061</th>\\n\",\n              \"      <th>1062</th>\\n\",\n              \"      <th>1063</th>\\n\",\n              \"      <th>1064</th>\\n\",\n              \"      <th>1065</th>\\n\",\n              \"      <th>1066</th>\\n\",\n              \"      <th>1067</th>\\n\",\n              \"      <th>1068</th>\\n\",\n              \"      <th>1069</th>\\n\",\n              \"      <th>1070</th>\\n\",\n              \"      <th>1071</th>\\n\",\n              \"      <th>1072</th>\\n\",\n              \"      <th>1073</th>\\n\",\n              \"      <th>1074</th>\\n\",\n              \"      <th>1075</th>\\n\",\n              \"      <th>1076</th>\\n\",\n              \"      <th>1077</th>\\n\",\n              \"      <th>1078</th>\\n\",\n              \"      <th>1079</th>\\n\",\n              \"      <th>1080</th>\\n\",\n              \"      <th>1081</th>\\n\",\n              \"      <th>1082</th>\\n\",\n              \"      <th>1083</th>\\n\",\n              \"      <th>1084</th>\\n\",\n              \"      <th>1085</th>\\n\",\n              \"      <th>1086</th>\\n\",\n              \"      <th>1087</th>\\n\",\n              \"      <th>1088</th>\\n\",\n              \"      <th>1089</th>\\n\",\n              \"      <th>1090</th>\\n\",\n              \"      <th>1091</th>\\n\",\n              \"      <th>1092</th>\\n\",\n              \"      <th>1093</th>\\n\",\n              \"      <th>1094</th>\\n\",\n              \"      <th>1095</th>\\n\",\n              \"      <th>1096</th>\\n\",\n              \"      <th>1097</th>\\n\",\n              \"      <th>1098</th>\\n\",\n              \"      <th>1099</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>-0.502606</td>\\n\",\n              \"      <td>-0.656812</td>\\n\",\n              \"      <td>0.531399</td>\\n\",\n              \"      <td>-0.200026</td>\\n\",\n              \"      <td>-0.622383</td>\\n\",\n              \"      <td>1.485965</td>\\n\",\n              \"      <td>-0.477678</td>\\n\",\n              \"      <td>-1.232291</td>\\n\",\n              \"      <td>-0.126719</td>\\n\",\n              \"      <td>0.401007</td>\\n\",\n              \"      <td>0.522309</td>\\n\",\n              \"      <td>0.395762</td>\\n\",\n              \"      <td>-0.683745</td>\\n\",\n              \"      <td>0.642723</td>\\n\",\n              \"      <td>-1.602784</td>\\n\",\n              \"      <td>-0.718378</td>\\n\",\n              \"      <td>0.423946</td>\\n\",\n              \"      <td>-3.590276</td>\\n\",\n              \"      <td>-0.323888</td>\\n\",\n              \"      <td>0.361711</td>\\n\",\n              \"      <td>-0.218260</td>\\n\",\n              \"      <td>0.942010</td>\\n\",\n              \"      <td>-1.234401</td>\\n\",\n              \"      <td>-2.659501</td>\\n\",\n              \"      <td>-1.466147</td>\\n\",\n              \"      <td>-0.734438</td>\\n\",\n              \"      <td>-0.422387</td>\\n\",\n              \"      <td>-1.388905</td>\\n\",\n              \"      <td>-2.214800</td>\\n\",\n              \"      <td>-0.606682</td>\\n\",\n              \"      <td>-1.623638</td>\\n\",\n              \"      <td>-0.972472</td>\\n\",\n              \"      <td>-0.624552</td>\\n\",\n              \"      <td>-0.819128</td>\\n\",\n              \"      <td>1.022704</td>\\n\",\n              \"      <td>-2.297376</td>\\n\",\n              \"      <td>0.214626</td>\\n\",\n              \"      <td>0.414686</td>\\n\",\n              \"      <td>0.367293</td>\\n\",\n              \"      <td>-0.437199</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.726675</td>\\n\",\n              \"      <td>0.704339</td>\\n\",\n              \"      <td>0.160865</td>\\n\",\n              \"      <td>-0.784328</td>\\n\",\n              \"      <td>-1.316351</td>\\n\",\n              \"      <td>-1.869528</td>\\n\",\n              \"      <td>-2.649980</td>\\n\",\n              \"      <td>-0.120459</td>\\n\",\n              \"      <td>-0.033512</td>\\n\",\n              \"      <td>-0.268373</td>\\n\",\n              \"      <td>-1.084579</td>\\n\",\n              \"      <td>1.044945</td>\\n\",\n              \"      <td>0.175420</td>\\n\",\n              \"      <td>-0.682422</td>\\n\",\n              \"      <td>0.488166</td>\\n\",\n              \"      <td>-1.341908</td>\\n\",\n              \"      <td>-0.006935</td>\\n\",\n              \"      <td>-0.729430</td>\\n\",\n              \"      <td>-1.481440</td>\\n\",\n              \"      <td>-0.207468</td>\\n\",\n              \"      <td>-0.529889</td>\\n\",\n              \"      <td>-1.664557</td>\\n\",\n              \"      <td>0.059468</td>\\n\",\n              \"      <td>0.589003</td>\\n\",\n              \"      <td>-1.199136</td>\\n\",\n              \"      <td>-0.731966</td>\\n\",\n              \"      <td>-0.568379</td>\\n\",\n              \"      <td>-0.677636</td>\\n\",\n              \"      <td>-2.110713</td>\\n\",\n              \"      <td>-0.083653</td>\\n\",\n              \"      <td>-0.738844</td>\\n\",\n              \"      <td>0.533033</td>\\n\",\n              \"      <td>-1.376311</td>\\n\",\n              \"      <td>-1.825938</td>\\n\",\n              \"      <td>0.922568</td>\\n\",\n              \"      <td>-1.359188</td>\\n\",\n              \"      <td>-0.953455</td>\\n\",\n              \"      <td>-0.775725</td>\\n\",\n              \"      <td>-0.995626</td>\\n\",\n              \"      <td>-0.892861</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>-0.518393</td>\\n\",\n              \"      <td>-0.638065</td>\\n\",\n              \"      <td>0.481470</td>\\n\",\n              \"      <td>-0.228233</td>\\n\",\n              \"      <td>-0.578859</td>\\n\",\n              \"      <td>1.491794</td>\\n\",\n              \"      <td>-0.466345</td>\\n\",\n              \"      <td>-1.231761</td>\\n\",\n              \"      <td>-0.132180</td>\\n\",\n              \"      <td>0.338277</td>\\n\",\n              \"      <td>0.520740</td>\\n\",\n              \"      <td>0.459688</td>\\n\",\n              \"      <td>-0.659561</td>\\n\",\n              \"      <td>0.614553</td>\\n\",\n              \"      <td>-1.646984</td>\\n\",\n              \"      <td>-0.722832</td>\\n\",\n              \"      <td>0.435101</td>\\n\",\n              \"      <td>-3.641499</td>\\n\",\n              \"      <td>-0.361902</td>\\n\",\n              \"      <td>0.291833</td>\\n\",\n              \"      <td>-0.172584</td>\\n\",\n              \"      <td>0.998383</td>\\n\",\n              \"      <td>-1.249467</td>\\n\",\n              \"      <td>-2.713535</td>\\n\",\n              \"      <td>-1.492557</td>\\n\",\n              \"      <td>-0.792146</td>\\n\",\n              \"      <td>-0.419726</td>\\n\",\n              \"      <td>-1.409750</td>\\n\",\n              \"      <td>-2.251189</td>\\n\",\n              \"      <td>-0.593904</td>\\n\",\n              \"      <td>-1.590052</td>\\n\",\n              \"      <td>-0.981840</td>\\n\",\n              \"      <td>-0.616027</td>\\n\",\n              \"      <td>-0.837228</td>\\n\",\n              \"      <td>1.056218</td>\\n\",\n              \"      <td>-2.383637</td>\\n\",\n              \"      <td>0.232591</td>\\n\",\n              \"      <td>0.448794</td>\\n\",\n              \"      <td>0.375024</td>\\n\",\n              \"      <td>-0.457210</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.724751</td>\\n\",\n              \"      <td>0.611540</td>\\n\",\n              \"      <td>0.163162</td>\\n\",\n              \"      <td>-0.794264</td>\\n\",\n              \"      <td>-1.344134</td>\\n\",\n              \"      <td>-1.900593</td>\\n\",\n              \"      <td>-2.703208</td>\\n\",\n              \"      <td>-0.076900</td>\\n\",\n              \"      <td>-0.061272</td>\\n\",\n              \"      <td>-0.260246</td>\\n\",\n              \"      <td>-1.083421</td>\\n\",\n              \"      <td>1.061392</td>\\n\",\n              \"      <td>0.213924</td>\\n\",\n              \"      <td>-0.675414</td>\\n\",\n              \"      <td>0.481167</td>\\n\",\n              \"      <td>-1.320811</td>\\n\",\n              \"      <td>-0.033605</td>\\n\",\n              \"      <td>-0.698765</td>\\n\",\n              \"      <td>-1.500461</td>\\n\",\n              \"      <td>-0.186398</td>\\n\",\n              \"      <td>-0.542767</td>\\n\",\n              \"      <td>-1.804032</td>\\n\",\n              \"      <td>0.019612</td>\\n\",\n              \"      <td>0.559124</td>\\n\",\n              \"      <td>-1.180369</td>\\n\",\n              \"      <td>-0.653720</td>\\n\",\n              \"      <td>-0.563549</td>\\n\",\n              \"      <td>-0.678751</td>\\n\",\n              \"      <td>-2.078974</td>\\n\",\n              \"      <td>-0.065899</td>\\n\",\n              \"      <td>-0.747771</td>\\n\",\n              \"      <td>0.561752</td>\\n\",\n              \"      <td>-1.422562</td>\\n\",\n              \"      <td>-1.842176</td>\\n\",\n              \"      <td>0.893810</td>\\n\",\n              \"      <td>-1.442883</td>\\n\",\n              \"      <td>-0.955409</td>\\n\",\n              \"      <td>-0.714520</td>\\n\",\n              \"      <td>-1.037862</td>\\n\",\n              \"      <td>-0.853183</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>-0.518393</td>\\n\",\n              \"      <td>-0.638065</td>\\n\",\n              \"      <td>0.481470</td>\\n\",\n              \"      <td>-0.228233</td>\\n\",\n              \"      <td>-0.578859</td>\\n\",\n              \"      <td>1.491794</td>\\n\",\n              \"      <td>-0.466345</td>\\n\",\n              \"      <td>-1.231761</td>\\n\",\n              \"      <td>-0.132180</td>\\n\",\n              \"      <td>0.338277</td>\\n\",\n              \"      <td>0.520740</td>\\n\",\n              \"      <td>0.459688</td>\\n\",\n              \"      <td>-0.659561</td>\\n\",\n              \"      <td>0.614553</td>\\n\",\n              \"      <td>-1.646984</td>\\n\",\n              \"      <td>-0.722832</td>\\n\",\n              \"      <td>0.435101</td>\\n\",\n              \"      <td>-3.641499</td>\\n\",\n              \"      <td>-0.361902</td>\\n\",\n              \"      <td>0.291833</td>\\n\",\n              \"      <td>-0.172584</td>\\n\",\n              \"      <td>0.998383</td>\\n\",\n              \"      <td>-1.249467</td>\\n\",\n              \"      <td>-2.713535</td>\\n\",\n              \"      <td>-1.492557</td>\\n\",\n              \"      <td>-0.792146</td>\\n\",\n              \"      <td>-0.419726</td>\\n\",\n              \"      <td>-1.409750</td>\\n\",\n              \"      <td>-2.251189</td>\\n\",\n              \"      <td>-0.593904</td>\\n\",\n              \"      <td>-1.590052</td>\\n\",\n              \"      <td>-0.981840</td>\\n\",\n              \"      <td>-0.616027</td>\\n\",\n              \"      <td>-0.837228</td>\\n\",\n              \"      <td>1.056218</td>\\n\",\n              \"      <td>-2.383637</td>\\n\",\n              \"      <td>0.232591</td>\\n\",\n              \"      <td>0.448794</td>\\n\",\n              \"      <td>0.375024</td>\\n\",\n              \"      <td>-0.457210</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.724751</td>\\n\",\n              \"      <td>0.611540</td>\\n\",\n              \"      <td>0.163162</td>\\n\",\n              \"      <td>-0.794264</td>\\n\",\n              \"      <td>-1.344134</td>\\n\",\n              \"      <td>-1.900593</td>\\n\",\n              \"      <td>-2.703208</td>\\n\",\n              \"      <td>-0.076900</td>\\n\",\n              \"      <td>-0.061272</td>\\n\",\n              \"      <td>-0.260246</td>\\n\",\n              \"      <td>-1.083421</td>\\n\",\n              \"      <td>1.061392</td>\\n\",\n              \"      <td>0.213924</td>\\n\",\n              \"      <td>-0.675414</td>\\n\",\n              \"      <td>0.481167</td>\\n\",\n              \"      <td>-1.320811</td>\\n\",\n              \"      <td>-0.033605</td>\\n\",\n              \"      <td>-0.698765</td>\\n\",\n              \"      <td>-1.500461</td>\\n\",\n              \"      <td>-0.186398</td>\\n\",\n              \"      <td>-0.542767</td>\\n\",\n              \"      <td>-1.804032</td>\\n\",\n              \"      <td>0.019612</td>\\n\",\n              \"      <td>0.559124</td>\\n\",\n              \"      <td>-1.180369</td>\\n\",\n              \"      <td>-0.653720</td>\\n\",\n              \"      <td>-0.563549</td>\\n\",\n              \"      <td>-0.678751</td>\\n\",\n              \"      <td>-2.078974</td>\\n\",\n              \"      <td>-0.065899</td>\\n\",\n              \"      <td>-0.747771</td>\\n\",\n              \"      <td>0.561752</td>\\n\",\n              \"      <td>-1.422562</td>\\n\",\n              \"      <td>-1.842176</td>\\n\",\n              \"      <td>0.893810</td>\\n\",\n              \"      <td>-1.442883</td>\\n\",\n              \"      <td>-0.955409</td>\\n\",\n              \"      <td>-0.714520</td>\\n\",\n              \"      <td>-1.037862</td>\\n\",\n              \"      <td>-0.853183</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>-0.497833</td>\\n\",\n              \"      <td>-0.616177</td>\\n\",\n              \"      <td>0.486445</td>\\n\",\n              \"      <td>-0.234750</td>\\n\",\n              \"      <td>-0.581222</td>\\n\",\n              \"      <td>1.510679</td>\\n\",\n              \"      <td>-0.489495</td>\\n\",\n              \"      <td>-1.219846</td>\\n\",\n              \"      <td>-0.152576</td>\\n\",\n              \"      <td>0.351636</td>\\n\",\n              \"      <td>0.562281</td>\\n\",\n              \"      <td>0.386234</td>\\n\",\n              \"      <td>-0.658668</td>\\n\",\n              \"      <td>0.643296</td>\\n\",\n              \"      <td>-1.618336</td>\\n\",\n              \"      <td>-0.710824</td>\\n\",\n              \"      <td>0.456077</td>\\n\",\n              \"      <td>-3.629309</td>\\n\",\n              \"      <td>-0.317715</td>\\n\",\n              \"      <td>0.283955</td>\\n\",\n              \"      <td>-0.171703</td>\\n\",\n              \"      <td>0.946217</td>\\n\",\n              \"      <td>-1.258783</td>\\n\",\n              \"      <td>-2.631865</td>\\n\",\n              \"      <td>-1.465509</td>\\n\",\n              \"      <td>-0.762880</td>\\n\",\n              \"      <td>-0.450229</td>\\n\",\n              \"      <td>-1.385403</td>\\n\",\n              \"      <td>-2.273087</td>\\n\",\n              \"      <td>-0.572635</td>\\n\",\n              \"      <td>-1.576422</td>\\n\",\n              \"      <td>-0.952841</td>\\n\",\n              \"      <td>-0.599044</td>\\n\",\n              \"      <td>-0.780889</td>\\n\",\n              \"      <td>1.072008</td>\\n\",\n              \"      <td>-2.328263</td>\\n\",\n              \"      <td>0.243263</td>\\n\",\n              \"      <td>0.480726</td>\\n\",\n              \"      <td>0.364399</td>\\n\",\n              \"      <td>-0.454774</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.745825</td>\\n\",\n              \"      <td>0.726363</td>\\n\",\n              \"      <td>0.188322</td>\\n\",\n              \"      <td>-0.770729</td>\\n\",\n              \"      <td>-1.317781</td>\\n\",\n              \"      <td>-1.887164</td>\\n\",\n              \"      <td>-2.665929</td>\\n\",\n              \"      <td>-0.077256</td>\\n\",\n              \"      <td>-0.036783</td>\\n\",\n              \"      <td>-0.243498</td>\\n\",\n              \"      <td>-1.075364</td>\\n\",\n              \"      <td>1.069182</td>\\n\",\n              \"      <td>0.175930</td>\\n\",\n              \"      <td>-0.687764</td>\\n\",\n              \"      <td>0.480063</td>\\n\",\n              \"      <td>-1.292383</td>\\n\",\n              \"      <td>0.003631</td>\\n\",\n              \"      <td>-0.694010</td>\\n\",\n              \"      <td>-1.486918</td>\\n\",\n              \"      <td>-0.164222</td>\\n\",\n              \"      <td>-0.533447</td>\\n\",\n              \"      <td>-1.729187</td>\\n\",\n              \"      <td>0.019052</td>\\n\",\n              \"      <td>0.553732</td>\\n\",\n              \"      <td>-1.153493</td>\\n\",\n              \"      <td>-0.688702</td>\\n\",\n              \"      <td>-0.525161</td>\\n\",\n              \"      <td>-0.689251</td>\\n\",\n              \"      <td>-2.068882</td>\\n\",\n              \"      <td>-0.045319</td>\\n\",\n              \"      <td>-0.767465</td>\\n\",\n              \"      <td>0.582759</td>\\n\",\n              \"      <td>-1.403952</td>\\n\",\n              \"      <td>-1.812143</td>\\n\",\n              \"      <td>0.880966</td>\\n\",\n              \"      <td>-1.422569</td>\\n\",\n              \"      <td>-0.967779</td>\\n\",\n              \"      <td>-0.699195</td>\\n\",\n              \"      <td>-0.990511</td>\\n\",\n              \"      <td>-0.869959</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>4</th>\\n\",\n              \"      <td>-0.405598</td>\\n\",\n              \"      <td>-1.313194</td>\\n\",\n              \"      <td>0.205521</td>\\n\",\n              \"      <td>-0.542136</td>\\n\",\n              \"      <td>-1.348124</td>\\n\",\n              \"      <td>0.248937</td>\\n\",\n              \"      <td>-1.782702</td>\\n\",\n              \"      <td>-1.918995</td>\\n\",\n              \"      <td>0.693968</td>\\n\",\n              \"      <td>-0.208607</td>\\n\",\n              \"      <td>0.640627</td>\\n\",\n              \"      <td>2.083403</td>\\n\",\n              \"      <td>-0.289273</td>\\n\",\n              \"      <td>0.225581</td>\\n\",\n              \"      <td>-0.967817</td>\\n\",\n              \"      <td>-0.579064</td>\\n\",\n              \"      <td>0.766839</td>\\n\",\n              \"      <td>-3.810285</td>\\n\",\n              \"      <td>-0.852739</td>\\n\",\n              \"      <td>0.603692</td>\\n\",\n              \"      <td>-0.581120</td>\\n\",\n              \"      <td>2.289903</td>\\n\",\n              \"      <td>-1.018256</td>\\n\",\n              \"      <td>-2.428960</td>\\n\",\n              \"      <td>-1.387910</td>\\n\",\n              \"      <td>-1.150084</td>\\n\",\n              \"      <td>-1.167091</td>\\n\",\n              \"      <td>-1.214868</td>\\n\",\n              \"      <td>-1.851211</td>\\n\",\n              \"      <td>-1.136592</td>\\n\",\n              \"      <td>-1.700594</td>\\n\",\n              \"      <td>-1.261820</td>\\n\",\n              \"      <td>-1.340288</td>\\n\",\n              \"      <td>0.001225</td>\\n\",\n              \"      <td>1.321523</td>\\n\",\n              \"      <td>-1.515028</td>\\n\",\n              \"      <td>0.168237</td>\\n\",\n              \"      <td>-1.075601</td>\\n\",\n              \"      <td>0.291076</td>\\n\",\n              \"      <td>-1.458527</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.059801</td>\\n\",\n              \"      <td>-0.104784</td>\\n\",\n              \"      <td>-0.247596</td>\\n\",\n              \"      <td>-0.525640</td>\\n\",\n              \"      <td>-1.159774</td>\\n\",\n              \"      <td>-0.783818</td>\\n\",\n              \"      <td>-2.079202</td>\\n\",\n              \"      <td>0.482373</td>\\n\",\n              \"      <td>-1.019349</td>\\n\",\n              \"      <td>-0.194455</td>\\n\",\n              \"      <td>-1.077637</td>\\n\",\n              \"      <td>0.394799</td>\\n\",\n              \"      <td>1.494043</td>\\n\",\n              \"      <td>0.631391</td>\\n\",\n              \"      <td>1.030613</td>\\n\",\n              \"      <td>-1.739284</td>\\n\",\n              \"      <td>-0.338037</td>\\n\",\n              \"      <td>-0.269097</td>\\n\",\n              \"      <td>-0.501239</td>\\n\",\n              \"      <td>0.213666</td>\\n\",\n              \"      <td>-0.274549</td>\\n\",\n              \"      <td>-1.159120</td>\\n\",\n              \"      <td>0.545037</td>\\n\",\n              \"      <td>-0.427869</td>\\n\",\n              \"      <td>-0.531919</td>\\n\",\n              \"      <td>-0.306955</td>\\n\",\n              \"      <td>-0.624478</td>\\n\",\n              \"      <td>-0.636394</td>\\n\",\n              \"      <td>-3.408122</td>\\n\",\n              \"      <td>-0.224543</td>\\n\",\n              \"      <td>0.049773</td>\\n\",\n              \"      <td>0.963272</td>\\n\",\n              \"      <td>-0.631261</td>\\n\",\n              \"      <td>-0.687877</td>\\n\",\n              \"      <td>2.538531</td>\\n\",\n              \"      <td>-2.059573</td>\\n\",\n              \"      <td>-0.082389</td>\\n\",\n              \"      <td>-0.231710</td>\\n\",\n              \"      <td>-1.008995</td>\\n\",\n              \"      <td>-0.664563</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>...</th>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>36336</th>\\n\",\n              \"      <td>-0.008643</td>\\n\",\n              \"      <td>3.119127</td>\\n\",\n              \"      <td>-0.779204</td>\\n\",\n              \"      <td>0.496526</td>\\n\",\n              \"      <td>2.285644</td>\\n\",\n              \"      <td>1.099278</td>\\n\",\n              \"      <td>0.574128</td>\\n\",\n              \"      <td>-0.167490</td>\\n\",\n              \"      <td>-1.030879</td>\\n\",\n              \"      <td>0.365479</td>\\n\",\n              \"      <td>1.536889</td>\\n\",\n              \"      <td>0.782162</td>\\n\",\n              \"      <td>1.706052</td>\\n\",\n              \"      <td>-2.727682</td>\\n\",\n              \"      <td>0.812271</td>\\n\",\n              \"      <td>-3.171657</td>\\n\",\n              \"      <td>1.495548</td>\\n\",\n              \"      <td>-3.200846</td>\\n\",\n              \"      <td>0.536465</td>\\n\",\n              \"      <td>-2.628098</td>\\n\",\n              \"      <td>2.637734</td>\\n\",\n              \"      <td>2.598193</td>\\n\",\n              \"      <td>-1.431386</td>\\n\",\n              \"      <td>0.434700</td>\\n\",\n              \"      <td>0.297667</td>\\n\",\n              \"      <td>-0.444614</td>\\n\",\n              \"      <td>1.087017</td>\\n\",\n              \"      <td>1.755861</td>\\n\",\n              \"      <td>-0.953184</td>\\n\",\n              \"      <td>0.644014</td>\\n\",\n              \"      <td>1.990878</td>\\n\",\n              \"      <td>1.593423</td>\\n\",\n              \"      <td>-1.335434</td>\\n\",\n              \"      <td>3.351601</td>\\n\",\n              \"      <td>0.683279</td>\\n\",\n              \"      <td>-0.094866</td>\\n\",\n              \"      <td>1.618898</td>\\n\",\n              \"      <td>0.178646</td>\\n\",\n              \"      <td>-0.003455</td>\\n\",\n              \"      <td>-0.207184</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.425456</td>\\n\",\n              \"      <td>0.495853</td>\\n\",\n              \"      <td>2.452894</td>\\n\",\n              \"      <td>2.046549</td>\\n\",\n              \"      <td>0.877887</td>\\n\",\n              \"      <td>-2.879406</td>\\n\",\n              \"      <td>0.262191</td>\\n\",\n              \"      <td>-0.481473</td>\\n\",\n              \"      <td>-3.505949</td>\\n\",\n              \"      <td>0.260730</td>\\n\",\n              \"      <td>-2.832732</td>\\n\",\n              \"      <td>-1.295200</td>\\n\",\n              \"      <td>-0.799484</td>\\n\",\n              \"      <td>0.420934</td>\\n\",\n              \"      <td>1.634963</td>\\n\",\n              \"      <td>-1.545820</td>\\n\",\n              \"      <td>0.714761</td>\\n\",\n              \"      <td>2.677032</td>\\n\",\n              \"      <td>0.880712</td>\\n\",\n              \"      <td>0.254263</td>\\n\",\n              \"      <td>0.289358</td>\\n\",\n              \"      <td>-3.579695</td>\\n\",\n              \"      <td>1.490962</td>\\n\",\n              \"      <td>0.617721</td>\\n\",\n              \"      <td>-1.374070</td>\\n\",\n              \"      <td>-0.457558</td>\\n\",\n              \"      <td>2.415276</td>\\n\",\n              \"      <td>-0.172588</td>\\n\",\n              \"      <td>2.726448</td>\\n\",\n              \"      <td>2.618298</td>\\n\",\n              \"      <td>-0.602551</td>\\n\",\n              \"      <td>1.600232</td>\\n\",\n              \"      <td>-0.976000</td>\\n\",\n              \"      <td>1.530825</td>\\n\",\n              \"      <td>3.162570</td>\\n\",\n              \"      <td>0.056260</td>\\n\",\n              \"      <td>2.571603</td>\\n\",\n              \"      <td>1.713477</td>\\n\",\n              \"      <td>0.903561</td>\\n\",\n              \"      <td>1.304516</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>36337</th>\\n\",\n              \"      <td>-1.987763</td>\\n\",\n              \"      <td>3.587883</td>\\n\",\n              \"      <td>1.016211</td>\\n\",\n              \"      <td>0.158575</td>\\n\",\n              \"      <td>3.095355</td>\\n\",\n              \"      <td>0.266335</td>\\n\",\n              \"      <td>0.314865</td>\\n\",\n              \"      <td>1.784682</td>\\n\",\n              \"      <td>-0.811532</td>\\n\",\n              \"      <td>-2.107660</td>\\n\",\n              \"      <td>1.140775</td>\\n\",\n              \"      <td>1.213208</td>\\n\",\n              \"      <td>1.552058</td>\\n\",\n              \"      <td>-3.503797</td>\\n\",\n              \"      <td>1.217943</td>\\n\",\n              \"      <td>-1.961567</td>\\n\",\n              \"      <td>3.397102</td>\\n\",\n              \"      <td>-4.798890</td>\\n\",\n              \"      <td>2.391165</td>\\n\",\n              \"      <td>-1.939778</td>\\n\",\n              \"      <td>1.414055</td>\\n\",\n              \"      <td>1.821203</td>\\n\",\n              \"      <td>1.083646</td>\\n\",\n              \"      <td>-0.106302</td>\\n\",\n              \"      <td>1.494443</td>\\n\",\n              \"      <td>-0.836146</td>\\n\",\n              \"      <td>0.551719</td>\\n\",\n              \"      <td>1.535840</td>\\n\",\n              \"      <td>-1.060745</td>\\n\",\n              \"      <td>1.018478</td>\\n\",\n              \"      <td>1.672791</td>\\n\",\n              \"      <td>0.409431</td>\\n\",\n              \"      <td>-0.211701</td>\\n\",\n              \"      <td>2.283835</td>\\n\",\n              \"      <td>1.416780</td>\\n\",\n              \"      <td>1.034825</td>\\n\",\n              \"      <td>2.518253</td>\\n\",\n              \"      <td>1.106311</td>\\n\",\n              \"      <td>-0.740027</td>\\n\",\n              \"      <td>1.882121</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>0.194322</td>\\n\",\n              \"      <td>0.954902</td>\\n\",\n              \"      <td>3.950309</td>\\n\",\n              \"      <td>1.845973</td>\\n\",\n              \"      <td>0.809273</td>\\n\",\n              \"      <td>-3.351955</td>\\n\",\n              \"      <td>0.147708</td>\\n\",\n              \"      <td>0.618329</td>\\n\",\n              \"      <td>-3.172518</td>\\n\",\n              \"      <td>0.730518</td>\\n\",\n              \"      <td>-2.483026</td>\\n\",\n              \"      <td>-0.658535</td>\\n\",\n              \"      <td>-2.143099</td>\\n\",\n              \"      <td>2.439729</td>\\n\",\n              \"      <td>1.391373</td>\\n\",\n              \"      <td>-0.679833</td>\\n\",\n              \"      <td>0.461441</td>\\n\",\n              \"      <td>2.753843</td>\\n\",\n              \"      <td>1.245368</td>\\n\",\n              \"      <td>-0.908352</td>\\n\",\n              \"      <td>0.218380</td>\\n\",\n              \"      <td>-1.885980</td>\\n\",\n              \"      <td>2.627177</td>\\n\",\n              \"      <td>0.214999</td>\\n\",\n              \"      <td>-0.828904</td>\\n\",\n              \"      <td>0.165790</td>\\n\",\n              \"      <td>2.055738</td>\\n\",\n              \"      <td>0.354239</td>\\n\",\n              \"      <td>1.110917</td>\\n\",\n              \"      <td>3.900777</td>\\n\",\n              \"      <td>0.069979</td>\\n\",\n              \"      <td>3.010715</td>\\n\",\n              \"      <td>-0.195607</td>\\n\",\n              \"      <td>-0.356807</td>\\n\",\n              \"      <td>3.934058</td>\\n\",\n              \"      <td>-1.587305</td>\\n\",\n              \"      <td>4.196885</td>\\n\",\n              \"      <td>3.500444</td>\\n\",\n              \"      <td>0.198183</td>\\n\",\n              \"      <td>1.093233</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>36338</th>\\n\",\n              \"      <td>-1.521850</td>\\n\",\n              \"      <td>2.871524</td>\\n\",\n              \"      <td>1.756830</td>\\n\",\n              \"      <td>-2.066933</td>\\n\",\n              \"      <td>2.374168</td>\\n\",\n              \"      <td>0.873217</td>\\n\",\n              \"      <td>-0.226133</td>\\n\",\n              \"      <td>1.612722</td>\\n\",\n              \"      <td>-0.085122</td>\\n\",\n              \"      <td>-1.210643</td>\\n\",\n              \"      <td>0.826062</td>\\n\",\n              \"      <td>1.058606</td>\\n\",\n              \"      <td>0.200707</td>\\n\",\n              \"      <td>-2.621979</td>\\n\",\n              \"      <td>1.360288</td>\\n\",\n              \"      <td>-2.503874</td>\\n\",\n              \"      <td>3.270152</td>\\n\",\n              \"      <td>-3.838975</td>\\n\",\n              \"      <td>2.868441</td>\\n\",\n              \"      <td>-1.771005</td>\\n\",\n              \"      <td>2.282881</td>\\n\",\n              \"      <td>0.295604</td>\\n\",\n              \"      <td>1.546937</td>\\n\",\n              \"      <td>0.035042</td>\\n\",\n              \"      <td>1.536236</td>\\n\",\n              \"      <td>-1.478594</td>\\n\",\n              \"      <td>-0.412722</td>\\n\",\n              \"      <td>3.008498</td>\\n\",\n              \"      <td>0.627372</td>\\n\",\n              \"      <td>2.023330</td>\\n\",\n              \"      <td>1.202580</td>\\n\",\n              \"      <td>0.040110</td>\\n\",\n              \"      <td>-0.451300</td>\\n\",\n              \"      <td>3.466670</td>\\n\",\n              \"      <td>1.581174</td>\\n\",\n              \"      <td>-0.547141</td>\\n\",\n              \"      <td>1.028699</td>\\n\",\n              \"      <td>1.188595</td>\\n\",\n              \"      <td>-0.085155</td>\\n\",\n              \"      <td>1.588485</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.928471</td>\\n\",\n              \"      <td>1.227643</td>\\n\",\n              \"      <td>3.213817</td>\\n\",\n              \"      <td>0.830567</td>\\n\",\n              \"      <td>1.393967</td>\\n\",\n              \"      <td>-2.672505</td>\\n\",\n              \"      <td>0.359312</td>\\n\",\n              \"      <td>0.362336</td>\\n\",\n              \"      <td>-3.653289</td>\\n\",\n              \"      <td>0.454820</td>\\n\",\n              \"      <td>-2.584615</td>\\n\",\n              \"      <td>-1.166450</td>\\n\",\n              \"      <td>-1.055709</td>\\n\",\n              \"      <td>2.218727</td>\\n\",\n              \"      <td>0.955418</td>\\n\",\n              \"      <td>-1.470188</td>\\n\",\n              \"      <td>0.505318</td>\\n\",\n              \"      <td>3.278276</td>\\n\",\n              \"      <td>0.978741</td>\\n\",\n              \"      <td>-0.401609</td>\\n\",\n              \"      <td>0.372984</td>\\n\",\n              \"      <td>-2.411800</td>\\n\",\n              \"      <td>2.583703</td>\\n\",\n              \"      <td>-0.435650</td>\\n\",\n              \"      <td>-0.981552</td>\\n\",\n              \"      <td>-0.510149</td>\\n\",\n              \"      <td>2.244358</td>\\n\",\n              \"      <td>0.472477</td>\\n\",\n              \"      <td>0.631492</td>\\n\",\n              \"      <td>3.112897</td>\\n\",\n              \"      <td>-0.798463</td>\\n\",\n              \"      <td>1.989235</td>\\n\",\n              \"      <td>-0.159767</td>\\n\",\n              \"      <td>0.461338</td>\\n\",\n              \"      <td>2.023850</td>\\n\",\n              \"      <td>-0.627435</td>\\n\",\n              \"      <td>3.755150</td>\\n\",\n              \"      <td>2.122742</td>\\n\",\n              \"      <td>-0.413387</td>\\n\",\n              \"      <td>1.888609</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>36339</th>\\n\",\n              \"      <td>-1.757260</td>\\n\",\n              \"      <td>3.463014</td>\\n\",\n              \"      <td>0.987380</td>\\n\",\n              \"      <td>0.116093</td>\\n\",\n              \"      <td>3.483294</td>\\n\",\n              \"      <td>0.175629</td>\\n\",\n              \"      <td>0.683930</td>\\n\",\n              \"      <td>2.223421</td>\\n\",\n              \"      <td>-1.822307</td>\\n\",\n              \"      <td>-1.992734</td>\\n\",\n              \"      <td>0.746934</td>\\n\",\n              \"      <td>1.047628</td>\\n\",\n              \"      <td>0.949704</td>\\n\",\n              \"      <td>-3.730403</td>\\n\",\n              \"      <td>1.677910</td>\\n\",\n              \"      <td>-1.623572</td>\\n\",\n              \"      <td>3.442500</td>\\n\",\n              \"      <td>-4.475670</td>\\n\",\n              \"      <td>2.597681</td>\\n\",\n              \"      <td>-2.253699</td>\\n\",\n              \"      <td>1.612720</td>\\n\",\n              \"      <td>1.576601</td>\\n\",\n              \"      <td>0.715927</td>\\n\",\n              \"      <td>0.109452</td>\\n\",\n              \"      <td>1.764583</td>\\n\",\n              \"      <td>-1.354579</td>\\n\",\n              \"      <td>1.920592</td>\\n\",\n              \"      <td>1.366042</td>\\n\",\n              \"      <td>-0.780473</td>\\n\",\n              \"      <td>1.399432</td>\\n\",\n              \"      <td>1.280895</td>\\n\",\n              \"      <td>1.116056</td>\\n\",\n              \"      <td>1.005895</td>\\n\",\n              \"      <td>3.312356</td>\\n\",\n              \"      <td>0.787603</td>\\n\",\n              \"      <td>0.578546</td>\\n\",\n              \"      <td>3.290021</td>\\n\",\n              \"      <td>0.500023</td>\\n\",\n              \"      <td>0.565885</td>\\n\",\n              \"      <td>1.917646</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.550323</td>\\n\",\n              \"      <td>0.596927</td>\\n\",\n              \"      <td>4.350167</td>\\n\",\n              \"      <td>1.656397</td>\\n\",\n              \"      <td>0.887174</td>\\n\",\n              \"      <td>-3.832575</td>\\n\",\n              \"      <td>0.510904</td>\\n\",\n              \"      <td>0.461504</td>\\n\",\n              \"      <td>-3.812097</td>\\n\",\n              \"      <td>0.262332</td>\\n\",\n              \"      <td>-2.537710</td>\\n\",\n              \"      <td>-1.322024</td>\\n\",\n              \"      <td>-2.372268</td>\\n\",\n              \"      <td>1.966077</td>\\n\",\n              \"      <td>1.695520</td>\\n\",\n              \"      <td>-0.589828</td>\\n\",\n              \"      <td>1.391410</td>\\n\",\n              \"      <td>3.965511</td>\\n\",\n              \"      <td>2.472306</td>\\n\",\n              \"      <td>-1.979023</td>\\n\",\n              \"      <td>0.056063</td>\\n\",\n              \"      <td>-2.200927</td>\\n\",\n              \"      <td>1.412161</td>\\n\",\n              \"      <td>-0.547067</td>\\n\",\n              \"      <td>-1.914312</td>\\n\",\n              \"      <td>-0.280533</td>\\n\",\n              \"      <td>1.745406</td>\\n\",\n              \"      <td>1.673735</td>\\n\",\n              \"      <td>1.108597</td>\\n\",\n              \"      <td>3.945924</td>\\n\",\n              \"      <td>-0.118220</td>\\n\",\n              \"      <td>3.069423</td>\\n\",\n              \"      <td>-0.255496</td>\\n\",\n              \"      <td>0.238448</td>\\n\",\n              \"      <td>2.982807</td>\\n\",\n              \"      <td>-1.088883</td>\\n\",\n              \"      <td>5.436944</td>\\n\",\n              \"      <td>3.611753</td>\\n\",\n              \"      <td>0.347418</td>\\n\",\n              \"      <td>0.826603</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>36340</th>\\n\",\n              \"      <td>-2.891652</td>\\n\",\n              \"      <td>3.212122</td>\\n\",\n              \"      <td>1.987798</td>\\n\",\n              \"      <td>-2.154884</td>\\n\",\n              \"      <td>2.222644</td>\\n\",\n              \"      <td>0.409860</td>\\n\",\n              \"      <td>0.700118</td>\\n\",\n              \"      <td>2.302195</td>\\n\",\n              \"      <td>-0.651295</td>\\n\",\n              \"      <td>-2.049391</td>\\n\",\n              \"      <td>1.132259</td>\\n\",\n              \"      <td>1.929822</td>\\n\",\n              \"      <td>1.172673</td>\\n\",\n              \"      <td>-3.146910</td>\\n\",\n              \"      <td>2.879740</td>\\n\",\n              \"      <td>-1.395434</td>\\n\",\n              \"      <td>3.092207</td>\\n\",\n              \"      <td>-2.907244</td>\\n\",\n              \"      <td>2.759674</td>\\n\",\n              \"      <td>-1.145342</td>\\n\",\n              \"      <td>1.377510</td>\\n\",\n              \"      <td>0.405667</td>\\n\",\n              \"      <td>2.085466</td>\\n\",\n              \"      <td>-0.812692</td>\\n\",\n              \"      <td>1.740685</td>\\n\",\n              \"      <td>-1.195913</td>\\n\",\n              \"      <td>0.745922</td>\\n\",\n              \"      <td>2.410266</td>\\n\",\n              \"      <td>0.390861</td>\\n\",\n              \"      <td>2.464500</td>\\n\",\n              \"      <td>1.589330</td>\\n\",\n              \"      <td>-0.132818</td>\\n\",\n              \"      <td>0.057628</td>\\n\",\n              \"      <td>3.321558</td>\\n\",\n              \"      <td>1.622937</td>\\n\",\n              \"      <td>-0.254911</td>\\n\",\n              \"      <td>2.169983</td>\\n\",\n              \"      <td>2.104180</td>\\n\",\n              \"      <td>0.523214</td>\\n\",\n              \"      <td>3.341057</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>-0.105578</td>\\n\",\n              \"      <td>1.620903</td>\\n\",\n              \"      <td>2.950593</td>\\n\",\n              \"      <td>1.836179</td>\\n\",\n              \"      <td>0.409848</td>\\n\",\n              \"      <td>-3.910172</td>\\n\",\n              \"      <td>0.397957</td>\\n\",\n              \"      <td>0.391482</td>\\n\",\n              \"      <td>-3.304742</td>\\n\",\n              \"      <td>0.833652</td>\\n\",\n              \"      <td>-2.831479</td>\\n\",\n              \"      <td>-1.365586</td>\\n\",\n              \"      <td>-2.426905</td>\\n\",\n              \"      <td>2.876159</td>\\n\",\n              \"      <td>2.404928</td>\\n\",\n              \"      <td>-1.214364</td>\\n\",\n              \"      <td>0.789313</td>\\n\",\n              \"      <td>3.566357</td>\\n\",\n              \"      <td>1.626859</td>\\n\",\n              \"      <td>-2.063387</td>\\n\",\n              \"      <td>0.214626</td>\\n\",\n              \"      <td>-1.704441</td>\\n\",\n              \"      <td>1.737239</td>\\n\",\n              \"      <td>0.385161</td>\\n\",\n              \"      <td>-0.873906</td>\\n\",\n              \"      <td>0.242764</td>\\n\",\n              \"      <td>1.455557</td>\\n\",\n              \"      <td>0.019069</td>\\n\",\n              \"      <td>0.378690</td>\\n\",\n              \"      <td>3.080066</td>\\n\",\n              \"      <td>-0.233556</td>\\n\",\n              \"      <td>2.172374</td>\\n\",\n              \"      <td>-0.045947</td>\\n\",\n              \"      <td>-0.815694</td>\\n\",\n              \"      <td>2.669174</td>\\n\",\n              \"      <td>-1.535842</td>\\n\",\n              \"      <td>4.633375</td>\\n\",\n              \"      <td>3.227597</td>\\n\",\n              \"      <td>0.019375</td>\\n\",\n              \"      <td>1.097588</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"<p>36341 rows × 1100 columns</p>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"           0         1         2     ...      1097      1098      1099\\n\",\n              \"0     -0.502606 -0.656812  0.531399  ... -0.775725 -0.995626 -0.892861\\n\",\n              \"1     -0.518393 -0.638065  0.481470  ... -0.714520 -1.037862 -0.853183\\n\",\n              \"2     -0.518393 -0.638065  0.481470  ... -0.714520 -1.037862 -0.853183\\n\",\n              \"3     -0.497833 -0.616177  0.486445  ... -0.699195 -0.990511 -0.869959\\n\",\n              \"4     -0.405598 -1.313194  0.205521  ... -0.231710 -1.008995 -0.664563\\n\",\n              \"...         ...       ...       ...  ...       ...       ...       ...\\n\",\n              \"36336 -0.008643  3.119127 -0.779204  ...  1.713477  0.903561  1.304516\\n\",\n              \"36337 -1.987763  3.587883  1.016211  ...  3.500444  0.198183  1.093233\\n\",\n              \"36338 -1.521850  2.871524  1.756830  ...  2.122742 -0.413387  1.888609\\n\",\n              \"36339 -1.757260  3.463014  0.987380  ...  3.611753  0.347418  0.826603\\n\",\n              \"36340 -2.891652  3.212122  1.987798  ...  3.227597  0.019375  1.097588\\n\",\n              \"\\n\",\n              \"[36341 rows x 1100 columns]\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 14\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"VFUIWAQlfKpg\",\n        \"outputId\": \"985bad49-a8dc-4fe3-c137-efe862dc1c74\"\n      },\n      \"source\": [\n        \"%cd umap-master\\n\",\n        \"import umap\"\n      ],\n      \"execution_count\": 15,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"/content/umap-master/proteinfer/umap-master\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"IXKn4IxZnib8\"\n      },\n      \"source\": [\n        \"## Embedding\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"cVUR6K0khTC0\",\n        \"outputId\": \"570e400a-3fb3-4742-d29c-f142e08e1141\"\n      },\n      \"source\": [\n        \"def filter_to_just_ec(the_input):\\n\",\n        \"  return [x for x in the_input if x.startswith(b\\\"EC:\\\") and b\\\"-\\\" not in x]\\n\",\n        \"ec_labels = [filter_to_just_ec(x) for x in labels]\\n\",\n        \"to_include = [len(x) ==1 for x in ec_labels]\\n\",\n        \"indices = [i for i,x in enumerate(to_include) if x]\\n\",\n        \"labs = [ec_labels[x] for x in indices]\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"pcs = umap.UMAP(300, metric='cosine', min_dist=1).fit_transform(df)\"\n      ],\n      \"execution_count\": 16,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"/usr/local/lib/python3.7/dist-packages/numba/np/ufunc/parallel.py:363: NumbaWarning: The TBB threading layer requires TBB version 2019.5 or later i.e., TBB_INTERFACE_VERSION >= 11005. Found TBB_INTERFACE_VERSION = 9107. The TBB threading layer is disabled.\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"B4Zrwhrdg26Y\"\n      },\n      \"source\": [\n        \"split_ec=[x[0].decode().replace(\\\"EC:\\\",\\\"\\\").split(\\\".\\\") for x in labs]\"\n      ],\n      \"execution_count\": 17,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"V2nlXXE8gosr\"\n      },\n      \"source\": [\n        \"color_palette = [\\n\",\n        \" (0.12156862745098039, 0.4666666666666667, 0.7058823529411765),\\n\",\n        \" (1.0, 0.4980392156862745, 0.054901960784313725),\\n\",\n        \" (0.17254901960784313, 0.6274509803921569, 0.17254901960784313),\\n\",\n        \" (0.8392156862745098, 0.15294117647058825, 0.1568627450980392),\\n\",\n        \" (0.5803921568627451, 0.403921568627451, 0.7411764705882353),\\n\",\n        \" (0.5490196078431373, 0.33725490196078434, 0.29411764705882354),\\n\",\n        \" (0.8901960784313725, 0.4666666666666667, 0.7607843137254902),\\n\",\n        \" (0.4980392156862745, 0.4980392156862745, 0.4980392156862745),\\n\",\n        \" (0.7372549019607844, 0.7411764705882353, 0.13333333333333333),\\n\",\n        \" (0.09019607843137255, 0.7450980392156863, 0.8117647058823529)]\\n\",\n        \"colors = pd.Series(split_ec).apply(lambda x: color_palette[int(x[0])])\"\n      ],\n      \"execution_count\": 18,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 265\n        },\n        \"id\": \"oh43oeQnfhcT\",\n        \"outputId\": \"b52703a9-1a00-4634-ddcc-170c82a9030b\"\n      },\n      \"source\": [\n        \"import matplotlib.pyplot as plt\\n\",\n        \"plt.scatter(pcs[indices, 0], pcs[indices, 1], color=colors, marker='.')\\n\",\n        \"plt.show()\"\n      ],\n      \"execution_count\": 19,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 432x288 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {\n            \"needs_background\": \"light\"\n          }\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"vEVxup_0ggnb\"\n      },\n      \"source\": [\n        \"def filter_to_just_ec(the_input):\\n\",\n        \"  return [x for x in the_input if x.startswith(b\\\"EC:\\\") and b\\\"-\\\" not in x]\\n\",\n        \"ec_labels = [filter_to_just_ec(x) for x in labels]\"\n      ],\n      \"execution_count\": 20,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"zUtJN63RmC4b\"\n      },\n      \"source\": [\n        \"nonenzymes = [len(x)==0 for x in ec_labels]\\n\",\n        \"non_enzyme_indices = [i for i,x in enumerate(nonenzymes) if x]\"\n      ],\n      \"execution_count\": 21,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"DycCLzvgnrVC\"\n      },\n      \"source\": [\n        \"## EC model with GO terms\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 265\n        },\n        \"id\": \"oYB_cjc9mKgq\",\n        \"outputId\": \"dadfd405-074d-499b-d3ee-0288de15d350\"\n      },\n      \"source\": [\n        \"import matplotlib.pyplot as plt\\n\",\n        \"is_membrane = np.array([b\\\"GO:0031224\\\" in x for x in labels])\\n\",\n        \"plt.scatter(pcs[non_enzyme_indices, 0], pcs[non_enzyme_indices, 1], color=[\\\"red\\\" if x else \\\"gray\\\" for x in is_membrane[non_enzyme_indices]], marker='.')\\n\",\n        \"plt.show()\"\n      ],\n      \"execution_count\": 22,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 432x288 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {\n            \"needs_background\": \"light\"\n          }\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 265\n        },\n        \"id\": \"AQIHw5LbmsDf\",\n        \"outputId\": \"3fa0b47d-b968-4a9d-a5a1-dc7d76f0fafd\"\n      },\n      \"source\": [\n        \"ribosome = np.array([b\\\"GO:0003735\\\" in x for x in labels])\\n\",\n        \"plt.scatter(pcs[non_enzyme_indices, 0], pcs[non_enzyme_indices, 1], color=[\\\"red\\\" if x else \\\"gray\\\" for x in ribosome[non_enzyme_indices]], marker='.')\\n\",\n        \"plt.show()\"\n      ],\n      \"execution_count\": 23,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 432x288 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {\n            \"needs_background\": \"light\"\n          }\n        }\n      ]\n    }\n  ]\n}\n"
  },
  {
    "path": "colabs/Price.ipynb",
    "content": "{\n  \"nbformat\": 4,\n  \"nbformat_minor\": 0,\n  \"metadata\": {\n    \"colab\": {\n      \"name\": \"Price comparison\",\n      \"provenance\": [],\n      \"collapsed_sections\": []\n    },\n    \"kernelspec\": {\n      \"display_name\": \"Python 3\",\n      \"name\": \"python3\"\n    },\n    \"accelerator\": \"GPU\"\n  },\n  \"cells\": [\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"E9iwE1jezcGB\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"outputId\": \"467889e8-37b0-405f-e9dc-7c8345fcdab8\"\n      },\n      \"source\": [\n        \"!git clone https://github.com/google-research/proteinfer \\n\",\n        \"!pip install -q -r proteinfer/requirements.txt\\n\",\n        \"%cd proteinfer\\n\"\n      ],\n      \"execution_count\": 1,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"Cloning into 'proteinfer'...\\n\",\n            \"remote: Enumerating objects: 612, done.\\u001b[K\\n\",\n            \"remote: Counting objects: 100% (335/335), done.\\u001b[K\\n\",\n            \"remote: Compressing objects: 100% (286/286), done.\\u001b[K\\n\",\n            \"remote: Total 612 (delta 113), reused 160 (delta 31), pack-reused 277\\u001b[K\\n\",\n            \"Receiving objects: 100% (612/612), 88.74 MiB | 26.54 MiB/s, done.\\n\",\n            \"Resolving deltas: 100% (252/252), done.\\n\",\n            \"\\u001b[K     |████████████████████████████████| 99 kB 5.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 2.3 MB 37.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 10.8 MB 51.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 2.8 MB 50.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 50 kB 8.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 59 kB 7.0 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 89 kB 10.8 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 56 kB 6.0 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 17.3 MB 52 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 10.5 MB 25.5 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 107 kB 68.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 13.1 MB 209 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 4.4 MB 53.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 226 kB 74.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 6.8 MB 21.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 110.5 MB 1.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 411.0 MB 25 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 503 kB 67.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 103 kB 80.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 45 kB 4.9 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 328 kB 59.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 9.5 MB 17.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 63 kB 2.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 3.8 MB 55.4 MB/s \\n\",\n            \"\\u001b[?25h  Building wheel for absl-py (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"  Building wheel for gast (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"\\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\\n\",\n            \"xarray 0.18.2 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"tensorflow-probability 0.13.0 requires gast>=0.3.2, but you have gast 0.2.2 which is incompatible.\\n\",\n            \"tensorflow-metadata 1.2.0 requires absl-py<0.13,>=0.9, but you have absl-py 0.7.1 which is incompatible.\\n\",\n            \"spacy 2.2.4 requires tqdm<5.0.0,>=4.38.0, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"pyerfa 2.0.0 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"pyarrow 3.0.0 requires numpy>=1.16.6, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"panel 0.12.1 requires tqdm>=4.48.0, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires numpy>=1.18.5, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires tensorflow>=2.0.0, but you have tensorflow 1.15.4 which is incompatible.\\n\",\n            \"jaxlib 0.1.70+cuda110 requires numpy>=1.18, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"jax 0.2.19 requires numpy>=1.18, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires astor~=0.8.1, but you have astor 0.7.1 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires six~=1.15.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"google-api-python-client 1.12.8 requires six<2dev,>=1.13.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"google-api-core 1.26.3 requires six>=1.13.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"fbprophet 0.7.1 requires tqdm>=4.36.1, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\\n\",\n            \"cupy-cuda101 9.1.0 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"astropy 4.3.1 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\\u001b[0m\\n\",\n            \"/content/proteinfer\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"mw86VQUi-omr\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"outputId\": \"317a149b-b27b-49ee-cdbc-082128be0352\"\n      },\n      \"source\": [\n        \"!cd proteinfer\\n\",\n        \"!ls\"\n      ],\n      \"execution_count\": 2,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"/bin/bash: line 0: cd: proteinfer: No such file or directory\\n\",\n            \"baseline_utils.py\\t  install_models.py\\t   protein_model_test.py\\n\",\n            \"baseline_utils_test.py\\t  LICENSE\\t\\t   README.md\\n\",\n            \"colab_evaluation.py\\t  misc\\t\\t\\t   requirements.txt\\n\",\n            \"colab_evaluation_test.py  parenthood_bin.py\\t   testdata\\n\",\n            \"colabs\\t\\t\\t  parenthood_lib.py\\t   test_util.py\\n\",\n            \"CONTRIBUTING.md\\t\\t  parenthood_lib_test.py   test_util_test.py\\n\",\n            \"evaluation.py\\t\\t  protein_dataset.py\\t   train.py\\n\",\n            \"evaluation_test.py\\t  protein_dataset_test.py  train_test.py\\n\",\n            \"hparams_sets.py\\t\\t  proteinfer.py\\t\\t   utils.py\\n\",\n            \"inference.py\\t\\t  proteinfer_test.py\\t   utils_test.py\\n\",\n            \"inference_test.py\\t  protein_model.py\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"Zu10hrem8ltZ\"\n      },\n      \"source\": [\n        \"import inference\\n\",\n        \"import pandas as pd\\n\",\n        \"import evaluation\\n\",\n        \"import parenthood_lib\\n\",\n        \"\\n\",\n        \"import re\"\n      ],\n      \"execution_count\": 3,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"lA8bjb_T8ffX\"\n      },\n      \"source\": [\n        \"# Parse Price's ground truth labels\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"WJ_sUsOL0UIi\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"outputId\": \"c4425fc8-db33-489c-dce2-4df8be41182b\"\n      },\n      \"source\": [\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/price_enzymes.tsv\"\n      ],\n      \"execution_count\": 4,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"--2021-09-13 02:01:43--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/price_enzymes.tsv\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 2607:f8b0:4023:c0d::80, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 400317 (391K) [application/octet-stream]\\n\",\n            \"Saving to: ‘price_enzymes.tsv’\\n\",\n            \"\\n\",\n            \"\\rprice_enzymes.tsv     0%[                    ]       0  --.-KB/s               \\rprice_enzymes.tsv   100%[===================>] 390.93K  --.-KB/s    in 0.004s  \\n\",\n            \"\\n\",\n            \"2021-09-13 02:01:43 (93.7 MB/s) - ‘price_enzymes.tsv’ saved [400317/400317]\\n\",\n            \"\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"JuN0SmQfosHJ\"\n      },\n      \"source\": [\n        \"with open('price_enzymes.tsv') as f:\\n\",\n        \"  price_enzymes = pd.read_csv(f, sep='\\\\t')\"\n      ],\n      \"execution_count\": 5,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"bSpUUPHF50-z\"\n      },\n      \"source\": [\n        \"price_enzymes_w_annotation = price_enzymes[price_enzymes.new_annotation.apply(lambda x: x.count('EC ') == 1)].copy()\"\n      ],\n      \"execution_count\": 6,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"a9SwAfKu8sMi\"\n      },\n      \"source\": [\n        \"# Predict for these sequences\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"407DGW2d0p5j\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"outputId\": \"790d05d6-3a64-4647-890c-5182bc1ab272\"\n      },\n      \"source\": [\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/models/zipped_models/noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\"\n      ],\n      \"execution_count\": 7,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"--2021-09-13 02:01:43--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/models/zipped_models/noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 2607:f8b0:4023:c0b::80, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 134391480 (128M) [application/octet-stream]\\n\",\n            \"Saving to: ‘noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz’\\n\",\n            \"\\n\",\n            \"noxpnd_cnn_swisspro 100%[===================>] 128.17M   111MB/s    in 1.2s    \\n\",\n            \"\\n\",\n            \"2021-09-13 02:01:45 (111 MB/s) - ‘noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz’ saved [134391480/134391480]\\n\",\n            \"\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"mc8RU2T_006q\"\n      },\n      \"source\": [\n        \"!tar xzf noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\"\n      ],\n      \"execution_count\": 8,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"vPAMz95A10l4\",\n        \"outputId\": \"4c4dad89-4897-4307-c090-d26228b64232\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        }\n      },\n      \"source\": [\n        \"inferrer = inference.Inferrer('noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140', use_tqdm=True)\"\n      ],\n      \"execution_count\": 9,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"WARNING: Logging before flag parsing goes to stderr.\\n\",\n            \"W0913 02:01:47.257570 140413780555648 deprecation.py:323] From /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\\n\",\n            \"Instructions for updating:\\n\",\n            \"Use tf.where in 2.0, which has the same broadcast rule as np.where\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"kiXZNz-N24c8\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"outputId\": \"2c3a52d3-3834-4cfd-aa69-e048e3f3e637\"\n      },\n      \"source\": [\n        \"predictions = inferrer.get_activations(list(price_enzymes_w_annotation.protein_sequence))\"\n      ],\n      \"execution_count\": 10,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Annotating batches of sequences: 100%|██████████| 3/3 [01:08<00:00, 26.95s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"yjoH2ojYUnzr\"\n      },\n      \"source\": [\n        \"# Turn prediction array into actual labels by using the vocab.\\n\",\n        \"cnn_label_vocab = inferrer.get_variable('label_vocab:0').astype(str)\\n\",\n        \"price_enzymes_w_annotation['predicted_label'] = evaluation.filter_predictions_to_above_threshold(predictions, 0.148222, cnn_label_vocab) # Threshold is that which maximizes f1 score.\"\n      ],\n      \"execution_count\": 11,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"ZxySu4lY3RKv\",\n        \"outputId\": \"0e77ecc4-628d-4f63-be13-88e534f297d3\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        }\n      },\n      \"source\": [\n        \"!wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/parenthood.json.gz\"\n      ],\n      \"execution_count\": 12,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"--2021-09-13 02:02:56--  https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/parenthood.json.gz\\n\",\n            \"Resolving storage.googleapis.com (storage.googleapis.com)... 142.250.141.128, 142.251.2.128, 74.125.137.128, ...\\n\",\n            \"Connecting to storage.googleapis.com (storage.googleapis.com)|142.250.141.128|:443... connected.\\n\",\n            \"HTTP request sent, awaiting response... 200 OK\\n\",\n            \"Length: 992539 (969K) [application/octet-stream]\\n\",\n            \"Saving to: ‘parenthood.json.gz’\\n\",\n            \"\\n\",\n            \"parenthood.json.gz  100%[===================>] 969.28K  --.-KB/s    in 0.007s  \\n\",\n            \"\\n\",\n            \"2021-09-13 02:02:57 (138 MB/s) - ‘parenthood.json.gz’ saved [992539/992539]\\n\",\n            \"\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"1HLvySfK2rFm\"\n      },\n      \"source\": [\n        \"# Find the most specific label(s) given to each protein.\\n\",\n        \"label_normalizer = parenthood_lib.get_applicable_label_dict('parenthood.json.gz')\\n\",\n        \"price_enzymes_w_annotation = parenthood_lib.filter_labels_to_most_specific(price_enzymes_w_annotation, label_normalizer)\"\n      ],\n      \"execution_count\": 13,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"lLJaHyQs-8uF\"\n      },\n      \"source\": [\n        \"to_examine = price_enzymes_w_annotation.copy()\\n\",\n        \"\\n\",\n        \"# Drop labels where we have > 1 prediction for ease of comparison.\\n\",\n        \"to_examine = to_examine[(to_examine.predicted_label.apply(len) == 1)].copy()\\n\",\n        \"\\n\",\n        \"# Format predicted and true label identically.\\n\",\n        \"to_examine['true_label'] = to_examine.new_annotation.apply(lambda x: re.findall(r'\\\\(EC (.{1,3}\\\\..{1,3}\\\\..{1,3}\\\\..{1,3})\\\\)', x)[0])\\n\",\n        \"to_examine['predicted_label'] = to_examine.predicted_label.apply(lambda x: list(x)[0].replace('EC:', ''))\"\n      ],\n      \"execution_count\": 14,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"zGkb5EcX9K7H\"\n      },\n      \"source\": [\n        \"# Compute agreement and plot\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"Vy_TURPTRjNS\"\n      },\n      \"source\": [\n        \"performance_by_level = pd.DataFrame([\\n\",\n        \"    evaluation.ec_agreement_for_level(to_examine, 1),\\n\",\n        \"    evaluation.ec_agreement_for_level(to_examine, 2),\\n\",\n        \"    evaluation.ec_agreement_for_level(to_examine, 3),\\n\",\n        \"    evaluation.ec_agreement_for_level(to_examine, 4)\\n\",\n        \"], columns=['Correct', 'Incorrect', 'Not called'], index=range(1, 5))[['Correct','Not called',\\\"Incorrect\\\"]]\"\n      ],\n      \"execution_count\": 15,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"7KM1HDf26S76\",\n        \"outputId\": \"26ca4ecc-70c4-424b-f3e0-8282b91d87f7\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        }\n      },\n      \"source\": [\n        \"print(performance_by_level)\"\n      ],\n      \"execution_count\": 16,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"   Correct  Not called  Incorrect\\n\",\n            \"1      103           0         12\\n\",\n            \"2       91          14         10\\n\",\n            \"3       75          28         12\\n\",\n            \"4       13          79         18\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"bk9F-kntOH1K\",\n        \"outputId\": \"712f33da-d724-445b-b096-a69d66235db1\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        }\n      },\n      \"source\": [\n        \"array = performance_by_level.to_numpy()\\n\",\n        \"\\n\",\n        \"array/array.sum(axis=1,keepdims=True)\"\n      ],\n      \"execution_count\": 17,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"array([[0.89565217, 0.        , 0.10434783],\\n\",\n              \"       [0.79130435, 0.12173913, 0.08695652],\\n\",\n              \"       [0.65217391, 0.24347826, 0.10434783],\\n\",\n              \"       [0.11818182, 0.71818182, 0.16363636]])\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 17\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"UIc9Xd2BpT1U\"\n      },\n      \"source\": [\n        \"performance_by_level['position']=performance_by_level.index\\n\",\n        \"melted=pd.melt(performance_by_level,'position')\"\n      ],\n      \"execution_count\": 18,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"VYFnYOHQNXlh\"\n      },\n      \"source\": [\n        \"from plotnine import *\\n\",\n        \"import matplotlib as mpl\\n\",\n        \"mpl.rcParams['figure.dpi']= 800\"\n      ],\n      \"execution_count\": 19,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"grsYMd29NJYJ\",\n        \"outputId\": \"b82569c3-4d69-4790-d166-27789a16eafa\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 464\n        }\n      },\n      \"source\": [\n        \"\\n\",\n        \"melted['variable'] = melted['variable'].astype('category').cat.reorder_categories([\\\"Incorrect\\\",\\\"Not called\\\",\\\"Correct\\\"], ordered=True )\\n\",\n        \"\\n\",\n        \"(ggplot(melted,aes(x=\\\"position\\\",fill=\\\"variable\\\",y=\\\"value\\\"))+\\n\",\n        \"geom_col(color=\\\"black\\\", position=\\\"fill\\\")+\\n\",\n        \"scale_fill_manual([\\\"red\\\",\\\"lightgray\\\",\\\"green\\\"])+ theme_classic()\\n\",\n        \")\\n\"\n      ],\n      \"execution_count\": 20,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8775745656397)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 20\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"hilfWfbiNTDA\"\n      },\n      \"source\": [\n        \"\"\n      ],\n      \"execution_count\": 20,\n      \"outputs\": []\n    }\n  ]\n}"
  },
  {
    "path": "colabs/README.md",
    "content": "\n"
  },
  {
    "path": "colabs/Random_EC.ipynb",
    "content": "{\n  \"nbformat\": 4,\n  \"nbformat_minor\": 0,\n  \"metadata\": {\n    \"colab\": {\n      \"name\": \"Random_EC.ipynb\",\n      \"provenance\": [],\n      \"collapsed_sections\": [\n        \"nHWvlZYR7UAl\"\n      ]\n    },\n    \"kernelspec\": {\n      \"display_name\": \"Python 3\",\n      \"name\": \"python3\"\n    }\n  },\n  \"cells\": [\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"nHWvlZYR7UAl\"\n      },\n      \"source\": [\n        \"# Setup\\n\",\n        \"\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"55knmU-w4OPK\"\n      },\n      \"source\": [\n        \"## Get files / dependencies\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"r0hWX2veJHpI\",\n        \"outputId\": \"8e884a4c-1153-4d76-e419-7fc751bd528d\"\n      },\n      \"source\": [\n        \"%tensorflow_version 1\"\n      ],\n      \"execution_count\": 14,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"`%tensorflow_version` only switches the major version: 1.x or 2.x.\\n\",\n            \"You set: `1`. This will be interpreted as: `1.x`.\\n\",\n            \"\\n\",\n            \"\\n\",\n            \"TensorFlow is already loaded. Please restart the runtime to change versions.\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"W3Y3LpXhZSWh\",\n        \"outputId\": \"4199546c-8528-4d24-abf8-3cd055b6e6af\"\n      },\n      \"source\": [\n        \"!git clone https://github.com/google-research/proteinfer \\n\",\n        \"\\n\",\n        \"%cd proteinfer\\n\",\n        \"\\n\",\n        \"!pip3 install -qr  requirements.txt\\n\",\n        \"\\n\",\n        \"import pandas as pd\\n\",\n        \"import tensorflow\\n\",\n        \"import inference\\n\",\n        \"import parenthood_lib\\n\",\n        \"import baseline_utils,subprocess\\n\",\n        \"import shlex\\n\",\n        \"import tqdm \\n\",\n        \"import sklearn\\n\",\n        \"import numpy as np\\n\",\n        \"import utils\\n\",\n        \"import colab_evaluation\\n\",\n        \"import plotly.express as px\\n\",\n        \"\\n\",\n        \"from plotnine import ggplot, geom_point, geom_ribbon, geom_line, aes, stat_smooth, facet_wrap, xlim,coord_cartesian,theme_bw,labs,ggsave\\n\"\n      ],\n      \"execution_count\": 15,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stdout\",\n          \"text\": [\n            \"Cloning into 'proteinfer'...\\n\",\n            \"remote: Enumerating objects: 480, done.\\u001b[K\\n\",\n            \"remote: Counting objects: 100% (203/203), done.\\u001b[K\\n\",\n            \"remote: Compressing objects: 100% (168/168), done.\\u001b[K\\n\",\n            \"remote: Total 480 (delta 94), reused 49 (delta 20), pack-reused 277\\u001b[K\\n\",\n            \"Receiving objects: 100% (480/480), 9.83 MiB | 14.32 MiB/s, done.\\n\",\n            \"Resolving deltas: 100% (233/233), done.\\n\",\n            \"/content/proteinfer/proteinfer\\n\",\n            \"\\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\\n\",\n            \"kapre 0.3.5 requires numpy>=1.18.5, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires tensorflow>=2.0.0, but you have tensorflow 1.15.4 which is incompatible.\\u001b[0m\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"n_XWusDibLE-\"\n      },\n      \"source\": [\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/models/zipped_models/noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\\n\",\n        \"!tar xzf noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140.tar.gz\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/parenthood.json.gz\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/fasta_files/SWISSPROT_RANDOM_EC/eval_test.fasta\"\n      ],\n      \"execution_count\": 16,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"wgU7aSau4qzg\"\n      },\n      \"source\": [\n        \"## Load vocabulary and parenthood information\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"gY6_MDLc4jw0\"\n      },\n      \"source\": [\n        \"vocab = inference.Inferrer(\\n\",\n        \"    'noxpnd_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-13685140'\\n\",\n        \").get_variable('label_vocab:0').astype(str)\\n\",\n        \"label_normalizer = parenthood_lib.get_applicable_label_dict(\\n\",\n        \"    'parenthood.json.gz')\"\n      ],\n      \"execution_count\": 17,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"aaSAa1xr5KXD\"\n      },\n      \"source\": [\n        \"## Define a helper function to download inference results\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"SGsml7EVbTO9\"\n      },\n      \"source\": [\n        \"def download_inference_results(run_name):\\n\",\n        \"    file_shard_names = [\\n\",\n        \"        '-{:05d}-of-00064.predictions.gz'.format(i) for i in range(64)\\n\",\n        \"    ]\\n\",\n        \"    subprocess.check_output(\\n\",\n        \"        shlex.split(f'mkdir -p ./inference_results/{run_name}/'))\\n\",\n        \"\\n\",\n        \"    for shard_name in tqdm.tqdm(file_shard_names,\\n\",\n        \"                                position=0,\\n\",\n        \"                                desc=\\\"Downloading\\\"):\\n\",\n        \"        subprocess.check_output(\\n\",\n        \"            shlex.split(\\n\",\n        \"                f'wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/swissprot_inference_results/{run_name}/{shard_name} -O ./inference_results/{run_name}/{shard_name}'\\n\",\n        \"            ))\\n\",\n        \"    return\\n\"\n      ],\n      \"execution_count\": 18,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"H-yqN7iZR4vK\"\n      },\n      \"source\": [\n        \"## Downloading predictions and getting them ready for analysis\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"RZtlXNu8gKWd\",\n        \"outputId\": \"48ab85c9-eb68-4ba5-f669-17b34478cbda\"\n      },\n      \"source\": [\n        \"min_decision_threshold = 1e-10\\n\",\n        \"download_inference_results(f\\\"ec_random_test\\\")\\n\",\n        \"predictions_df = colab_evaluation.get_normalized_inference_results(\\n\",\n        \"    \\\"inference_results/ec_random_test\\\",\\n\",\n        \"    vocab,\\n\",\n        \"    label_normalizer,\\n\",\n        \"    min_decision_threshold=min_decision_threshold)\\n\"\n      ],\n      \"execution_count\": 19,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Downloading: 100%|██████████| 64/64 [00:22<00:00,  2.74it/s]\\n\",\n            \"100%|██████████| 64/64 [01:41<00:00,  1.54s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"bLDLn75zC3Eu\",\n        \"outputId\": \"1b98d52e-3696-47a6-c7b6-d530a72f042d\"\n      },\n      \"source\": [\n        \"test_ground_truth = baseline_utils.load_ground_truth('eval_test.fasta')\\n\",\n        \"ground_truth_df = colab_evaluation.make_tidy_df_from_ground_truth(\\n\",\n        \"    test_ground_truth)\\n\",\n        \"del test_ground_truth\"\n      ],\n      \"execution_count\": 20,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"108578it [00:01, 107862.80it/s]\\n\",\n            \"100%|██████████| 54289/54289 [00:00<00:00, 66162.01it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"UaR0teacxMH8\"\n      },\n      \"source\": [\n        \"# Analysis\\n\",\n        \"\\n\",\n        \"Now we can get some statistics about our predictions. Let's start with a simple calculation of precision, recall and F1 for the whole dataset at a threshold of 0.5. \"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"FTi3TivFxMIA\"\n      },\n      \"source\": [\n        \"What happens in different EC classes - is there differential performance?\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 269\n        },\n        \"id\": \"eotFz2xxxMIA\",\n        \"outputId\": \"9c073254-0bb1-4f71-ffeb-3b28733e080c\"\n      },\n      \"source\": [\n        \"def get_first_level_of_ec_hierarchy(ec):\\n\",\n        \"    ec_group_names = {\\n\",\n        \"        \\\"EC:1\\\": \\\"Oxidoreductases\\\",\\n\",\n        \"        \\\"EC:2\\\": \\\"Transferases\\\",\\n\",\n        \"        \\\"EC:3\\\": \\\"Hydrolases\\\",\\n\",\n        \"        \\\"EC:4\\\": \\\"Lyases\\\",\\n\",\n        \"        \\\"EC:5\\\": \\\"Isomerases\\\",\\n\",\n        \"        \\\"EC:6\\\": \\\"Ligases\\\",\\n\",\n        \"        \\\"EC:7\\\": \\\"Translocases\\\"\\n\",\n        \"    }\\n\",\n        \"    return ec_group_names[ec.split(\\\".\\\")[0]]\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"top_level_ec_grouping = {x: get_first_level_of_ec_hierarchy(x) for x in vocab}\\n\",\n        \"\\n\",\n        \"colab_evaluation.apply_threshold_and_return_stats(\\n\",\n        \"    predictions_df, ground_truth_df, grouping=top_level_ec_grouping)\"\n      ],\n      \"execution_count\": 21,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>group</th>\\n\",\n              \"      <th>tp</th>\\n\",\n              \"      <th>fp</th>\\n\",\n              \"      <th>fn</th>\\n\",\n              \"      <th>precision</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"      <th>count</th>\\n\",\n              \"      <th>proportion</th>\\n\",\n              \"      <th>proportion_text</th>\\n\",\n              \"      <th>threshold</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Hydrolases</td>\\n\",\n              \"      <td>21541</td>\\n\",\n              \"      <td>460</td>\\n\",\n              \"      <td>1063</td>\\n\",\n              \"      <td>0.979092</td>\\n\",\n              \"      <td>0.952973</td>\\n\",\n              \"      <td>0.965856</td>\\n\",\n              \"      <td>22604</td>\\n\",\n              \"      <td>0.219048</td>\\n\",\n              \"      <td>21.9%</td>\\n\",\n              \"      <td>0.5</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>Isomerases</td>\\n\",\n              \"      <td>5631</td>\\n\",\n              \"      <td>49</td>\\n\",\n              \"      <td>157</td>\\n\",\n              \"      <td>0.991373</td>\\n\",\n              \"      <td>0.972875</td>\\n\",\n              \"      <td>0.982037</td>\\n\",\n              \"      <td>5788</td>\\n\",\n              \"      <td>0.056090</td>\\n\",\n              \"      <td>5.61%</td>\\n\",\n              \"      <td>0.5</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>Ligases</td>\\n\",\n              \"      <td>11198</td>\\n\",\n              \"      <td>25</td>\\n\",\n              \"      <td>139</td>\\n\",\n              \"      <td>0.997772</td>\\n\",\n              \"      <td>0.987739</td>\\n\",\n              \"      <td>0.992730</td>\\n\",\n              \"      <td>11337</td>\\n\",\n              \"      <td>0.109863</td>\\n\",\n              \"      <td>10.99%</td>\\n\",\n              \"      <td>0.5</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>Lyases</td>\\n\",\n              \"      <td>9294</td>\\n\",\n              \"      <td>80</td>\\n\",\n              \"      <td>364</td>\\n\",\n              \"      <td>0.991466</td>\\n\",\n              \"      <td>0.962311</td>\\n\",\n              \"      <td>0.976671</td>\\n\",\n              \"      <td>9658</td>\\n\",\n              \"      <td>0.093593</td>\\n\",\n              \"      <td>9.36%</td>\\n\",\n              \"      <td>0.5</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>4</th>\\n\",\n              \"      <td>Oxidoreductases</td>\\n\",\n              \"      <td>11641</td>\\n\",\n              \"      <td>271</td>\\n\",\n              \"      <td>622</td>\\n\",\n              \"      <td>0.977250</td>\\n\",\n              \"      <td>0.949278</td>\\n\",\n              \"      <td>0.963061</td>\\n\",\n              \"      <td>12263</td>\\n\",\n              \"      <td>0.118837</td>\\n\",\n              \"      <td>11.88%</td>\\n\",\n              \"      <td>0.5</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>5</th>\\n\",\n              \"      <td>Transferases</td>\\n\",\n              \"      <td>37143</td>\\n\",\n              \"      <td>494</td>\\n\",\n              \"      <td>926</td>\\n\",\n              \"      <td>0.986875</td>\\n\",\n              \"      <td>0.975676</td>\\n\",\n              \"      <td>0.981243</td>\\n\",\n              \"      <td>38069</td>\\n\",\n              \"      <td>0.368914</td>\\n\",\n              \"      <td>36.89%</td>\\n\",\n              \"      <td>0.5</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>6</th>\\n\",\n              \"      <td>Translocases</td>\\n\",\n              \"      <td>3402</td>\\n\",\n              \"      <td>26</td>\\n\",\n              \"      <td>71</td>\\n\",\n              \"      <td>0.992415</td>\\n\",\n              \"      <td>0.979557</td>\\n\",\n              \"      <td>0.985944</td>\\n\",\n              \"      <td>3473</td>\\n\",\n              \"      <td>0.033656</td>\\n\",\n              \"      <td>3.37%</td>\\n\",\n              \"      <td>0.5</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"             group     tp   fp  ...  proportion  proportion_text  threshold\\n\",\n              \"0       Hydrolases  21541  460  ...    0.219048            21.9%        0.5\\n\",\n              \"1       Isomerases   5631   49  ...    0.056090            5.61%        0.5\\n\",\n              \"2          Ligases  11198   25  ...    0.109863           10.99%        0.5\\n\",\n              \"3           Lyases   9294   80  ...    0.093593            9.36%        0.5\\n\",\n              \"4  Oxidoreductases  11641  271  ...    0.118837           11.88%        0.5\\n\",\n              \"5     Transferases  37143  494  ...    0.368914           36.89%        0.5\\n\",\n              \"6     Translocases   3402   26  ...    0.033656            3.37%        0.5\\n\",\n              \"\\n\",\n              \"[7 rows x 11 columns]\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 21\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 560\n        },\n        \"id\": \"HJGDt1wG1wiR\",\n        \"outputId\": \"6675200c-f187-4e2e-a4db-a0b9b83331e6\"\n      },\n      \"source\": [\n        \"ec_pr_curves = colab_evaluation.get_pr_curve_df(\\n\",\n        \"    predictions_df, ground_truth_df, grouping=top_level_ec_grouping)\\n\",\n        \"\\n\",\n        \"fig = px.line(ec_pr_curves, \\n\",\n        \"    x=\\\"recall\\\", y=\\\"precision\\\", color=\\\"group\\\")\\n\",\n        \"fig.update_layout(template=\\\"plotly_white\\\", title=\\\"Performance by EC class\\\")\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"fig.update_yaxes(range=(0.92, 1))\"\n      ],\n      \"execution_count\": 22,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"100%|██████████| 7/7 [00:00<00:00, 36.80it/s]\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"text/html\": [\n              \"<html>\\n\",\n              \"<head><meta charset=\\\"utf-8\\\" /></head>\\n\",\n              \"<body>\\n\",\n              \"    <div>            <script src=\\\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\\\"></script><script type=\\\"text/javascript\\\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \\\"STIX-Web\\\"}});}</script>                <script type=\\\"text/javascript\\\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\\n\",\n              \"        <script src=\\\"https://cdn.plot.ly/plotly-latest.min.js\\\"></script>                <div id=\\\"4f687425-cc00-4b4b-9dd4-c2ad0826d20f\\\" class=\\\"plotly-graph-div\\\" style=\\\"height:525px; width:100%;\\\"></div>            <script type=\\\"text/javascript\\\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\\\"4f687425-cc00-4b4b-9dd4-c2ad0826d20f\\\")) {                    Plotly.newPlot(                        \\\"4f687425-cc00-4b4b-9dd4-c2ad0826d20f\\\",                        [{\\\"hovertemplate\\\": \\\"group=Hydrolases<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Hydrolases\\\", \\\"line\\\": {\\\"color\\\": \\\"#636efa\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Hydrolases\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [1.0, 0.9808440983896656, 0.9807113785170766, 0.9805786586444877, 0.9804459387718988, 0.9803132188993099, 0.9801362590691913, 0.9799592992390728, 0.9797380994514245, 0.9796053795788356, 0.9794284197487171, 0.9792072199610689, 0.97907450008848, 0.978941780215891, 0.9787648203857724, 0.9785878605556538, 0.9784109007255353, 0.9782781808529464, 0.9780127411077686, 0.9778800212351796, 0.977703061405061, 0.9775703415324721, 0.9773491417448239, 0.9771721819147053, 0.9769509821270571, 0.9767740222969385, 0.97659706246682, 0.9764643425942311, 0.9763316227216422, 0.9761989028490533, 0.9760661829764643, 0.9759334631038754, 0.9757565032737568, 0.975623783401168, 0.9754025836135197, 0.9752698637409308, 0.9750929039108123, 0.974871704123164, 0.9746947442930455, 0.9745177844629269, 0.974385064590338, 0.9742081047602195, 0.9740311449301009, 0.9738984250575119, 0.973765705184923, 0.9736329853123341, 0.9735002654397452, 0.9733675455671562, 0.9732348256945673, 0.9731021058219784, 0.9729251459918599, 0.972792426119271, 0.972659706246682, 0.9725269863740931, 0.9723942665015042, 0.9722615466289153, 0.9720845867987967, 0.9719518669262077, 0.9716864271810299, 0.9715094673509114, 0.9713767474783224, 0.9712440276057335, 0.9711113077331446, 0.9709785878605557, 0.9708458679879667, 0.9707131481153778, 0.9705804282427889, 0.9704034684126703, 0.9702707485400814, 0.9701380286674924, 0.9699610688373739, 0.9697841090072553, 0.9696071491771368, 0.9694744293045479, 0.9692532295168996, 0.9691205096443107, 0.9689877897717218, 0.968855069899133, 0.9687223500265439, 0.9685453901964254, 0.9683684303663068, 0.9682357104937179, 0.968102990621129, 0.9678817908334808, 0.9677048310033622, 0.9674393912581843, 0.9672624314280658, 0.9671297115554769, 0.9669085117678287, 0.9667757918952398, 0.9665545921075915, 0.9664218722350026, 0.9662449124048841, 0.9661121925322952, 0.9659352327021766, 0.9658025128295877, 0.9656697929569987, 0.9655370730844098, 0.965138913466643, 0.9649177136789948, 0.9647849938064059, 0.9646080339762874, 0.9644753141036985, 0.9643425942311096, 0.964165634400991, 0.9639886745708725, 0.9638117147407539, 0.9636789948681649, 0.9634135551229871, 0.9632808352503982, 0.9631038754202796, 0.9629269155901611, 0.9627499557600425, 0.9626172358874535, 0.9624845160148646, 0.9623517961422757, 0.9622190762696868, 0.9620863563970978, 0.9619536365245089, 0.9617324367368607, 0.9615997168642718, 0.9614669969916829, 0.9613342771190939, 0.961201557246505, 0.9610688373739161, 0.9609361175013272, 0.9608033976287382, 0.9606264377986197, 0.9604937179260308, 0.9603609980534419, 0.960228278180853, 0.960095558308264, 0.9599185984781454, 0.9597858786055565, 0.959608918775438, 0.9594761989028491, 0.9593434790302602, 0.9591665192001416, 0.9590337993275526, 0.9589010794549637, 0.9587683595823748, 0.9586356397097858, 0.9585029198371969, 0.9582817200495487, 0.9581490001769598, 0.9580162803043709, 0.9575738807290745, 0.9574411608564856, 0.9572199610688373, 0.9570872411962484, 0.9569102813661299, 0.956777561493541, 0.9566448416209521, 0.9565121217483631, 0.9563794018757742, 0.9562466820031853, 0.9560697221730667, 0.9559370023004778, 0.9558042824278888, 0.9556715625553, 0.9554946027251814, 0.9553618828525925, 0.9552291629800035, 0.9550522031498849, 0.954919483277296, 0.9547867634047071, 0.9546540435321182, 0.9543886037869403, 0.9541674039992921, 0.9539019642541143, 0.9537692443815254, 0.9535922845514069, 0.9533710847637586, 0.9532383648911698, 0.9531056450185807, 0.9529729251459919, 0.952840205273403, 0.9527074854008141, 0.9524862856131658, 0.9523535657405768, 0.9522208458679879, 0.952088125995399, 0.9519111661652805, 0.9517784462926916, 0.9516457264201026, 0.9515130065475137, 0.9513802866749248, 0.9512033268448062, 0.9510706069722173, 0.9509378870996283, 0.9508051672270394, 0.9506724473544506, 0.9504070076092727, 0.9502742877366838, 0.9501415678640949, 0.950008847991506, 0.949876128118917, 0.9497434082463281, 0.9496106883737392, 0.9494779685011503, 0.9493452486285613, 0.9490798088833835, 0.9489470890107945, 0.9487701291806759, 0.948637409308087, 0.9484162095204388, 0.948150769775261, 0.9480180499026721, 0.9478410900725536, 0.9476198902849053, 0.9474871704123164, 0.9473544505397274, 0.9472217306671386, 0.9470890107945497, 0.9469120509644311, 0.9467350911343125, 0.9466023712617236, 0.9464254114316051, 0.9462926915590161, 0.9461157317288975, 0.945938771898779, 0.9457618120686604, 0.9456290921960715, 0.9454963723234826, 0.9453636524508936, 0.945186692620775, 0.9450539727481861, 0.9449212528755973, 0.9447442930454787, 0.9444788533003008, 0.9442576535126527, 0.9441249336400637, 0.9439479738099451, 0.9438152539373562, 0.9436825340647673, 0.9435055742346488, 0.9432843744470005, 0.9431516545744116, 0.9428862148292337, 0.9427534949566448, 0.942620775084056, 0.942488055211467, 0.942355335338878, 0.9422226154662892, 0.9420898955937003, 0.9419571757211113, 0.9418244558485224, 0.9416032560608741, 0.9414262962307556, 0.9412935763581667, 0.9411166165280481, 0.9409838966554592, 0.9408511767828703, 0.9407184569102813, 0.9405857370376924, 0.9403645372500442, 0.9402318173774553, 0.9400990975048664, 0.9398778977172182, 0.9397451778446293, 0.9396124579720403, 0.9394797380994514, 0.9393470182268625, 0.9392142983542736, 0.9389930985666254, 0.9388161387365068, 0.9386834188639179, 0.9385506989913289, 0.93841797911874, 0.9382852592461511, 0.9381525393735622, 0.9380198195009732, 0.9378870996283843, 0.9377543797557955, 0.9376216598832066, 0.9374889400106176, 0.937311980180499, 0.9370907803928509, 0.9369580605202619, 0.936825340647673, 0.9366926207750841, 0.9365156609449655, 0.9363829410723765, 0.9362502211997876, 0.9360732613696691, 0.9359405414970802, 0.9358078216244913, 0.9356308617943727, 0.9354981419217837, 0.9352769421341356, 0.9351442222615466, 0.934967262431428, 0.9348345425588391, 0.9347018226862502, 0.9345248628561317, 0.9343921429835428, 0.9342151831534242, 0.9340824632808352, 0.9339055034507167, 0.9337727835781278, 0.9336400637055389, 0.9335073438329499, 0.9333303840028313, 0.9331976641302424, 0.9330207043001238, 0.932887984427535, 0.9327552645549461, 0.9325783047248275, 0.9324455848522385, 0.9323128649796496, 0.9321801451070607, 0.9320031852769421, 0.9318262254468236, 0.9316935055742347, 0.9315607857016457, 0.9314280658290568, 0.9312953459564679, 0.9309856662537604, 0.9308529463811714, 0.9306759865510529, 0.930543266678464, 0.9303663068483454, 0.9301451070606972, 0.9300123871881083, 0.9298354273579897, 0.9296584675278712, 0.9294815076977526, 0.9293487878251637, 0.9290833480799858, 0.9289506282073969, 0.9287736683772784, 0.9285967085471598, 0.9284639886745709, 0.9283312688019819, 0.9281543089718634, 0.9280215890992745, 0.9278888692266856, 0.9277561493540967, 0.9273137497788002, 0.9271810299062113, 0.9268713502035038, 0.9266501504158556, 0.9265174305432666, 0.9262519907980888, 0.9257211113077332, 0.9254999115200849, 0.9245708724119625, 0.9242169527517253, 0.9239957529640771], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.5689260275351741, 0.5641762939589801, 0.5726093919512321, 0.579249967333072, 0.582735137124977, 0.5850097682031786, 0.6009602343622851, 0.6148273565004996, 0.6200755984880303, 0.6273515412511332, 0.6435568733467051, 0.6491099445731546, 0.6628032345013477, 0.6686408412401039, 0.6805500015380356, 0.6819583179183624, 0.6829087540528023, 0.6860786199621483, 0.6952980028306337, 0.7029639994911588, 0.7053041424650539, 0.7155069131884856, 0.7452184179456907, 0.749991511323894, 0.760119785212722, 0.7632661527292841, 0.7666527748836564, 0.7695955369595537, 0.7739435384885148, 0.785378701594533, 0.7902786732573966, 0.7927267500359351, 0.7980605709736946, 0.8030661665634901, 0.8113040918457463, 0.8183303017929396, 0.8197032243668415, 0.8215950188285299, 0.8457256919120187, 0.8497801095594476, 0.8533844782827695, 0.8557161731561359, 0.8565592903828197, 0.8585468585468585, 0.8642610334537458, 0.8742005958291956, 0.8754027926960258, 0.8767832948115087, 0.877888183886029, 0.8811440932580219, 0.8828228493436634, 0.8838733017123563, 0.8839303662606038, 0.8875206911865638, 0.8878655679431249, 0.8907668612191959, 0.894520436411008, 0.9000409668168783, 0.9008284800262488, 0.9020703253368386, 0.9036546217795703, 0.9036427248405021, 0.9048973534504081, 0.9066049816184064, 0.9073055773762765, 0.9099278427469519, 0.9112394085396245, 0.912058212058212, 0.9135288237254249, 0.9151191420105996, 0.9155635361423142, 0.9190038988806439, 0.9206889308968704, 0.9240954710297714, 0.9250548893767945, 0.9254361877402729, 0.927621548365238, 0.928044749555047, 0.9289805269186713, 0.9299154738138725, 0.930259243518912, 0.9310022120129318, 0.9333759863510344, 0.9337202850923989, 0.9353059391969898, 0.9360900646376439, 0.9381677751555461, 0.940258064516129, 0.9413386165905763, 0.9427930454290522, 0.9444924779526197, 0.9469417833456153, 0.9493197722432303, 0.9494782608695652, 0.9498412145995563, 0.9499173266034288, 0.950655459257001, 0.951934400488507, 0.9521648044692738, 0.9522375027286618, 0.9523559980785187, 0.9523476741646648, 0.9528409090909091, 0.9532514103292955, 0.9534934593341209, 0.953777466514926, 0.9541035298239467, 0.9551433833201789, 0.9555506801228609, 0.9557964970809008, 0.9559566152900364, 0.9567472527472527, 0.9572025511326149, 0.9574074888898667, 0.9591323898955164, 0.9592961721644029, 0.9596717260854218, 0.9610234654646692, 0.961400716275368, 0.9618600946860758, 0.9619401664011329, 0.9629580397890912, 0.9629957899401729, 0.9629908696037586, 0.9631567279982266, 0.9636645962732919, 0.964173140954495, 0.9651953593812508, 0.9653194611177804, 0.9656154085672346, 0.9660405910628449, 0.9662080940296514, 0.9662881318191939, 0.9673607704998439, 0.9677865524472404, 0.968084631522564, 0.9691620111731843, 0.9694164989939638, 0.9698460987831067, 0.9702327663384065, 0.9702287684111564, 0.9703985669502911, 0.9706989247311828, 0.9709969517661825, 0.9712107623318386, 0.9712068888191236, 0.9718916977234969, 0.9722371967654987, 0.972755473632154, 0.973233163885015, 0.9732721382289417, 0.9736628849270664, 0.9737470167064439, 0.973962791116717, 0.9746179162346152, 0.9747902949400199, 0.9747857465042851, 0.9750022561140691, 0.9753069700252799, 0.9753476611883691, 0.9760925566050527, 0.9761334357908059, 0.9763067462470609, 0.9764791025872988, 0.9765642672940325, 0.9765610859728506, 0.9768231406455118, 0.9769937955708528, 0.9772541912097871, 0.9774252039891206, 0.9774664490388103, 0.9776840386447135, 0.9777676950998185, 0.9782973893303065, 0.9782944328398874, 0.9790918594609336, 0.979356129501637, 0.97975432211101, 0.9799726900318616, 0.9801038062283737, 0.9801903547520379, 0.9804109152202634, 0.9804073449674215, 0.9804940297147023, 0.980491362413966, 0.9806228058177175, 0.9806648729992248, 0.9807060755336617, 0.9810614703600602, 0.9810588772250114, 0.981101068200493, 0.9810984796603205, 0.9812277336256509, 0.9813148156608342, 0.9814467851757072, 0.9815788270786671, 0.9822049405306496, 0.9822024980555428, 0.9824697912852435, 0.9824673838406958, 0.982554945054945, 0.9828652586246392, 0.9830881341949677, 0.9831751707697245, 0.9832179375487184, 0.9832140891579527, 0.9832094687586017, 0.9832071576049553, 0.983294322823443, 0.9832904884318766, 0.9832881869519305, 0.9832858848379098, 0.9835094166283876, 0.9835071438415951, 0.9838205552491267, 0.9838175799926444, 0.9838605848813684, 0.9840386384544618, 0.9841269841269841, 0.9841693511274735, 0.9841664365276627, 0.9841635208544333, 0.9842972923190274, 0.9842951227375305, 0.9842929525564256, 0.9842900580484658, 0.9842878864673087, 0.9843764402249056, 0.9843735595095419, 0.9843692364441166, 0.9844110321926022, 0.9844088749481065, 0.9844514164436652, 0.984540126447921, 0.984537985784178, 0.9846714991458516, 0.9847134346279961, 0.9848022912047303, 0.9848890942698706, 0.9848869991218746, 0.9848849033928077, 0.984882807082428, 0.9849717932118746, 0.9849697081811034, 0.9850587473401795, 0.9851478276962939, 0.9851913554537461, 0.9851879281614516, 0.9851851851851852, 0.9852743690669137, 0.9853172765169059, 0.9853152360216797, 0.9853588472408841, 0.985356811862836, 0.9853547759188024, 0.985625521654456, 0.9858521198626959, 0.986033130713192, 0.9861214259190494, 0.9861194930597466, 0.9861175596619928, 0.9862072168299819, 0.9862052949372968, 0.9862491870296386, 0.9862459922866038, 0.9863351150360213, 0.9864249186424918, 0.9865606398809523, 0.9865587647086183, 0.9865568890129315, 0.9866927228736274, 0.9866908650937689, 0.9868267932784062, 0.986870897155361, 0.9870069389465841, 0.9870510969304579, 0.9871406606718539, 0.9871376642743965, 0.9872739138541861, 0.9872721338990162, 0.9873624323820183, 0.9873600746268657, 0.9875886524822695, 0.9875869149283681, 0.9875845974329055, 0.9877672985339434, 0.9877655848704179, 0.987809434843531, 0.9878077264446209, 0.9878971962616823, 0.9878954993690704, 0.987893236105268, 0.9878915381019168, 0.9879360329187319, 0.9879799822272111, 0.9884869190808255, 0.9885773137961706, 0.9886682899419367, 0.9886661671037842, 0.9886645744531359, 0.9887092996017802, 0.9888003748828491, 0.9890300501617364, 0.9890285071267817, 0.9891192195854047, 0.9891640866873065, 0.9892553840379111, 0.9892533671218734, 0.9892982867871392, 0.9895755071374907, 0.9896205147473229, 0.9897115474960068, 0.9897096137581054, 0.9897081629775836, 0.98970671178793, 0.989705260188972, 0.9897503408716912, 0.9898400752587018, 0.9899317807574688, 0.9899298856524399, 0.989975055301925, 0.9899731676316904, 0.9899708070439778, 0.9899693901577584, 0.9900141309467735, 0.9900122491284274, 0.9900103666006974, 0.9900089542391253, 0.9902395322519804, 0.9905651476554392, 0.9906568516421291, 0.9907486075710374, 0.9907940704371636, 0.99083955047691, 0.9908378199678851, 0.9908365216569837, 0.9911161515924771, 0.9911617355137536, 0.9912981792385906, 0.9913907284768212, 0.9915286322763843, 0.9915266272189349, 0.9915723687325411, 0.9916639037559797, 0.9919412182981749, 0.9919863435914458, 0.9924965569644298, 0.9925408589889776, 0.9927749786101341], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"group=Isomerases<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Isomerases\\\", \\\"line\\\": {\\\"color\\\": \\\"#EF553B\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Isomerases\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [1.0, 0.9891154111955771, 0.9884243261921216, 0.9882515549412578, 0.9880787836903939, 0.98790601243953, 0.9877332411886662, 0.9873876986869385, 0.9872149274360746, 0.9870421561852107, 0.9863510711817554, 0.9861782999308915, 0.9860055286800277, 0.9856599861783, 0.9854872149274361, 0.9853144436765722, 0.9851416724257084, 0.9849689011748445, 0.9844505874222529, 0.9837595024187975, 0.9835867311679336, 0.9828956461644782, 0.9827228749136143, 0.9825501036627505, 0.9822045611610228, 0.9818590186592951, 0.9813407049067036, 0.9811679336558397, 0.980822391154112, 0.9806496199032481, 0.9801313061506566, 0.9794402211472011, 0.9792674498963373, 0.9790946786454734, 0.9785763648928818, 0.978403593642018, 0.9782308223911541, 0.9780580511402902, 0.9777125086385625, 0.9770214236351071, 0.9765031098825155, 0.9758120248790602, 0.9751209398756047, 0.9749481686247409, 0.97356599861783, 0.9728749136143746, 0.9727021423635107, 0.9721838286109191, 0.9720110573600553, 0.9716655148583275, 0.9714927436074637, 0.971147201105736, 0.9709744298548721, 0.9708016586040082, 0.9706288873531445, 0.9704561161022806, 0.9701105736005529, 0.9695922598479613, 0.9690739460953697, 0.9689011748445059, 0.968728403593642, 0.9685556323427782, 0.9683828610919143, 0.9680373185901866, 0.9676917760884589, 0.967519004837595, 0.9673462335867312, 0.9671734623358673, 0.9664823773324119, 0.966309606081548, 0.9656185210780927, 0.9654457498272287, 0.9651002073255011, 0.9647546648237734, 0.9645818935729095, 0.9644091223220456, 0.9640635798203179, 0.9637180373185902, 0.9635452660677263, 0.9633724948168625, 0.9631997235659986, 0.9630269523151348, 0.962681409813407, 0.9623358673116793, 0.9618175535590877, 0.96147201105736, 0.9612992398064962, 0.9609536973047685, 0.960262612301313, 0.9600898410504493, 0.9599170697995854, 0.9595715272978577, 0.95922598479613, 0.9590532135452661, 0.9587076710435384, 0.9585348997926745, 0.9581893572909468, 0.9580165860400829, 0.9573255010366275], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.6194349315068494, 0.6168516323672019, 0.7468668407310705, 0.7558139534883721, 0.7789430672841188, 0.8441098317094774, 0.8659497122084217, 0.8981612446958982, 0.9091487669053302, 0.9223442040684533, 0.9377463863337714, 0.9488031914893617, 0.9630442119473507, 0.963031735313977, 0.9677638276213099, 0.9705582028590878, 0.9710490463215259, 0.9730329407748762, 0.9731853116994023, 0.9783505154639175, 0.9832469775474957, 0.9832353957829243, 0.9840830449826989, 0.9842506057459328, 0.9842451523545707, 0.9849220103986135, 0.9850849809226501, 0.9869655891553701, 0.9869610570236439, 0.9869587897756912, 0.9879832810867294, 0.9888365602651317, 0.988834612700628, 0.9888326644564649, 0.9888268156424581, 0.9888248646760956, 0.988822913028292, 0.9893393918210416, 0.9893356643356643, 0.9901943617580109, 0.9901892081289418, 0.9903559530071891, 0.9903491840673803, 0.9906952247191011, 0.9906821378340366, 0.9913732394366197, 0.9922453295734931, 0.9922412272967731, 0.9922398589065256, 0.9934640522875817, 0.9934628975265017, 0.9934605867797809, 0.9934594307937069, 0.9934582743988685, 0.9934571175950486, 0.9934559603820304, 0.9934536447275301, 0.9934501681713578, 0.9943272469420316, 0.9943262411347518, 0.9945015963107485, 0.9945006208976406, 0.9944996451383961, 0.9944976925807597, 0.9944957386363636, 0.994494761143669, 0.9944937833037301, 0.9948462768793318, 0.9957280170879317, 0.9957272565426384, 0.9957242116515232, 0.9957234497505346, 0.9957219251336898, 0.9957203994293866, 0.9957196361690743, 0.995718872636461, 0.9960728311317386, 0.9960714285714286, 0.9960707269155207, 0.9960700250089317, 0.9960693228515276, 0.9962466487935657, 0.9966016812734753, 0.996600465199499, 0.9965986394557823, 0.9965974212034384, 0.9971326164874552, 0.9971315883829329, 0.997308451462408, 0.997307968413496, 0.9973074851911685, 0.9973065182258933, 0.9973055505658344, 0.9973050664750269, 0.9974833722811433, 0.997482919813017, 0.9974820143884892, 0.998020158387329, 0.9980187319884726], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"group=Ligases<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ligases\\\", \\\"line\\\": {\\\"color\\\": \\\"#00cc96\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Ligases\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [1.0, 0.9950604216282968, 0.9947075946017465, 0.9945311810884714, 0.9942665608185587, 0.994001940548646, 0.9938255270353709, 0.9936491135220958, 0.9934727000088207, 0.993208079738908, 0.9929434594689953, 0.9927670459557202, 0.9923260121725325, 0.9921495986592573, 0.9917967716327071, 0.9916203581194319, 0.9913557378495192, 0.9911793243362441, 0.9909147040663315, 0.9907382905530564, 0.9905618770397813, 0.9903854635265061, 0.9901208432565934, 0.9899444297433183, 0.9895916027167682, 0.989415189203493, 0.9891505689335803, 0.9888859486636676, 0.9886213283937549, 0.9884449148804798, 0.9882685013672047, 0.9880038810972921, 0.987827467584017, 0.9875628473141043, 0.9873864338008291, 0.9871218135309164, 0.9869454000176413, 0.9867689865043663, 0.9863279527211785, 0.9859751256946282, 0.9856222986680779, 0.9851812648848902, 0.98482843785834, 0.9846520243450648, 0.9844756108317897, 0.9842991973185146, 0.9841227838052394, 0.9839463702919644, 0.9837699567786893, 0.9835935432654141, 0.9831525094822263, 0.9829760959689512, 0.9823586486724883, 0.9820058216459381, 0.9817412013760254, 0.9815647878627503, 0.9813883743494751, 0.9812119608362001, 0.981035547322925, 0.9807709270530123, 0.9805945135397371, 0.980418100026462, 0.9802416865131869, 0.9800652729999118, 0.9797124459733616, 0.9795360324600865, 0.9793596189468113, 0.9787421716503484, 0.9785657581370732], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.8214026952615563, 0.820675105485232, 0.8470667768346729, 0.8990511123514872, 0.9185885420911091, 0.9204443355386751, 0.9206569700931525, 0.9400033377837116, 0.942589338019918, 0.9513349104427171, 0.9725269978401728, 0.979206542543936, 0.9833056551000786, 0.984249212460623, 0.9842436974789915, 0.9863133883137393, 0.986482928113754, 0.9881287372493844, 0.9882994633588458, 0.990650908449462, 0.9906492589978828, 0.9942442220844772, 0.9947713576745835, 0.9947704307746853, 0.9948567881528776, 0.9953855710355843, 0.9953843422687733, 0.9960021321961621, 0.9964438122332859, 0.9964431797972613, 0.9968858439362933, 0.9973288220105067, 0.9973283462463265, 0.9977720345780233, 0.9977716374008379, 0.9978600089166295, 0.9978596272184072, 0.9979482604817127, 0.9979473449352967, 0.997946611909651, 0.997945878360275, 0.9980341345724243, 0.9980334316617503, 0.998033080017881, 0.9982112512297647, 0.9983002325997495, 0.9982999284180386, 0.9982996241274387, 0.9982993197278912, 0.9983883964544722, 0.9984771118874854, 0.9984768389929218, 0.9984758830912677, 0.99847533632287, 0.9986541049798116, 0.9986538634120076, 0.9986536217574724, 0.9988327197629523, 0.998832510103278, 0.9988321954725117, 0.9989217360050319, 0.9989215421946617, 0.9989213483146068, 0.9990109692501349, 0.9990106134196798, 0.9990104354084203, 0.9990102573330933, 0.9990096335644189, 0.9990094552003602], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"group=Lyases<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Lyases\\\", \\\"line\\\": {\\\"color\\\": \\\"#ab63fa\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Lyases\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [1.0, 0.9854007040795195, 0.9852971629737005, 0.9851936218678815, 0.9850900807620625, 0.9849865396562435, 0.9848829985504245, 0.9845723752329675, 0.9843652930213295, 0.9842617519155105, 0.9841582108096915, 0.9840546697038725, 0.9836405052805964, 0.9834334230689584, 0.9832263408573203, 0.9830192586456823, 0.9827086353282253, 0.9826050942224063, 0.9825015531165873, 0.9822944709049493, 0.9821909297991303, 0.9817767653758542, 0.9816732242700352, 0.9815696831642162, 0.9814661420583972, 0.9813626009525782, 0.9809484365293021, 0.9807413543176641, 0.9806378132118451, 0.9805342721060261, 0.980223648788569, 0.98012010768275, 0.980016566576931, 0.979913025471112, 0.979602402153655, 0.979395319942017, 0.97908469662456, 0.978981155518741, 0.9785669910954649, 0.9784634499896459, 0.9782563677780078, 0.9780492855663698, 0.9779457444605508, 0.9778422033547318, 0.9774280389314558, 0.9773244978256368, 0.9772209567198178, 0.9770138745081798, 0.9765997100849038, 0.9764961689790846, 0.9762890867674466, 0.9759784634499896, 0.9758749223441706, 0.9757713812383516, 0.9754607579208946, 0.9750465934976186, 0.9749430523917996, 0.9748395112859806, 0.9747359701801616, 0.9746324290743426, 0.9745288879685235, 0.9742182646510664, 0.9741147235452474, 0.9740111824394284, 0.9739076413336094, 0.9738041002277904, 0.9734934769103334, 0.9733899358045144, 0.9730793124870574, 0.9726651480637813, 0.9725616069579623, 0.9724580658521433, 0.9722509836405053, 0.9718368192172292, 0.9717332781114102, 0.9716297370055912, 0.9715261958997722, 0.9714226547939532, 0.9713191136881342, 0.9710084903706772, 0.9708014081590391, 0.9704907848415821, 0.9703872437357631, 0.9700766204183061, 0.9699730793124871, 0.9698695382066681, 0.969558914889211, 0.969248291571754, 0.9688341271484779, 0.9687305860426589, 0.9686270449368399, 0.9684199627252019, 0.9683164216193829, 0.9680057983019259, 0.9679022571961069, 0.9676951749844689, 0.9675916338786498, 0.9674880927728308, 0.9673845516670118, 0.9665562228204597, 0.9663491406088217, 0.9661420583971837, 0.9657278939739077, 0.9654172706564507, 0.9650031062331745, 0.9648995651273555, 0.9647960240215365, 0.9645889418098985, 0.9642783184924415, 0.9641747773866225, 0.9637606129633465, 0.9636570718575275, 0.9635535307517085, 0.9632429074342514, 0.9631393663284323, 0.9630358252226133, 0.9629322841167943, 0.9627252019051563, 0.9623110374818803, 0.9622074963760613, 0.9621039552702423, 0.9620004141644233, 0.9616897908469663, 0.9615862497411473, 0.9611720853178712, 0.9610685442120522, 0.9609650031062332, 0.9606543797887761, 0.9604472975771381, 0.9602402153655001, 0.9601366742596811, 0.9600331331538621, 0.9599295920480431, 0.9598260509422241, 0.959515427624767, 0.95920480430731, 0.958894180989853, 0.958790639884034, 0.9581693932491199, 0.9580658521433009, 0.9579623110374819, 0.9577552288258439, 0.9576516877200248, 0.9572375232967488, 0.9571339821909298, 0.9567198177676538, 0.9564091944501967, 0.9562021122385587, 0.9560985711327397, 0.9559950300269207, 0.9557879478152826, 0.9556844067094636, 0.9555808656036446, 0.9551667011803686, 0.9548560778629116, 0.9547525367570926, 0.9546489956512736, 0.9545454545454546, 0.9543383723338166, 0.9542348312279975, 0.9540277490163594, 0.9538206668047214, 0.9537171256989024, 0.9536135845930834, 0.9533029612756264, 0.9530958790639884, 0.9529923379581694, 0.9528887968523504, 0.9527852557465314, 0.9526817146407124, 0.9525781735348934, 0.9522675502174364, 0.9521640091116174, 0.9520604680057984, 0.9519569268999792, 0.9517498446883412, 0.9516463035825222, 0.9515427624767032, 0.9514392213708842, 0.9511285980534272, 0.9507144336301512, 0.9505073514185132, 0.9504038103126942, 0.9500931869952371, 0.9499896458894181, 0.9498861047835991, 0.949471940360323, 0.949264858148685, 0.949161317042866, 0.949057775937047, 0.948850693725409, 0.94874715261959, 0.948643611513771, 0.948540070407952, 0.948436529302133, 0.9480223648788569, 0.9478152826672189, 0.9477117415613999, 0.9476082004555809, 0.9475046593497618, 0.9474011182439428, 0.9472975771381238, 0.9471940360323048, 0.9468834127148478, 0.9466763305032098, 0.9465727893973908, 0.9463657071857527, 0.9462621660799337, 0.9459515427624767, 0.9456409194450197, 0.9455373783392007, 0.9454338372333817, 0.9453302961275627, 0.9451232139159246, 0.9448125905984676, 0.9445019672810105, 0.9439842617519155, 0.9435700973286395, 0.9434665562228205, 0.9426382273762683], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.5929518664047151, 0.5893974112838298, 0.6274975272007913, 0.629507112140258, 0.6307763707485249, 0.6557071960297767, 0.6556834631557179, 0.6810628849734995, 0.6920221284029698, 0.6969208211143695, 0.7113988473916623, 0.71372784620006, 0.719806031216851, 0.7228860643884618, 0.7486597287921791, 0.7486200914682227, 0.7585517902813299, 0.7696674776966748, 0.7807948654653172, 0.8169293033669164, 0.826162689426929, 0.8315355608173288, 0.8508480660504353, 0.8602540834845736, 0.8602414012160813, 0.8644655235315578, 0.8743885556068297, 0.8805429022961793, 0.8863827795975667, 0.9127710843373494, 0.914156044804944, 0.9212652068126521, 0.9233245537020779, 0.9269343780607248, 0.9275490196078431, 0.9298142140961368, 0.9301593547117843, 0.9320780757097792, 0.9369485476355706, 0.9372210651591788, 0.937487596745386, 0.9374751885668916, 0.9397074917918615, 0.9425149700598803, 0.9427743932887247, 0.9510327455919395, 0.9513153915935894, 0.9522656171157533, 0.9529197817740958, 0.9533003133528758, 0.9542556421414836, 0.9544349939246659, 0.9548171411204539, 0.9563628983154049, 0.9586852549099419, 0.9601345840130505, 0.9632736572890026, 0.965839146491588, 0.9702153972998042, 0.9724173553719008, 0.9724145056307469, 0.9736134105960265, 0.9774545454545455, 0.9778586278586279, 0.9784666597316134, 0.9790755777638975, 0.979069040924711, 0.9796790329303877, 0.9798769679908247, 0.9800730307772562, 0.9801732234164666, 0.9803757828810021, 0.980883735506111, 0.9833420639078051, 0.9836495126297033, 0.9844733529164919, 0.9851952960940781, 0.9851937414680247, 0.985295662220355, 0.9852910275267913, 0.9855986544728267, 0.9855941114616193, 0.9856962557846024, 0.986002946748053, 0.9860014735291022, 0.9862076226574016, 0.9864110397134731, 0.9864067439409905, 0.9864010120177104, 0.9865035849852383, 0.9866062012233706, 0.9866033755274262, 0.986601962232303, 0.9868059953557103, 0.987012987012987, 0.9873230509190788, 0.9876347495244134, 0.9877378435517971, 0.9877365472037213, 0.987726166543223, 0.9877235686316013, 0.9877209696199852, 0.987820377038763, 0.9883400466398135, 0.9893842887473461, 0.9893831616944474, 0.9894870978018477, 0.9894848645778014, 0.9895866539156306, 0.9899011374508345, 0.9905288921996381, 0.9905278842060451, 0.9905268759978713, 0.9905238500851788, 0.9906283280085197, 0.99115515771526, 0.9913655260633195, 0.9913636848278068, 0.9914657563473437, 0.9915706359368331, 0.9915697364208729, 0.9918864097363083, 0.9919897468760013, 0.9919888912625507, 0.9928342245989304, 0.9934710478433052, 0.9934703489616784, 0.9934682514187815, 0.9934668523080219, 0.9934654525977504, 0.9934647525176773, 0.9934640522875817, 0.9934633519074153, 0.99346265137713, 0.9934605488850772, 0.9934584450402145, 0.9934563398412358, 0.9934556378071022, 0.9934514224369296, 0.9934507193472193, 0.9935567010309279, 0.9935553168635876, 0.9935546245568805, 0.9935518538420204, 0.9935511607910577, 0.9935483870967742, 0.9935463052597612, 0.9935449166218397, 0.9935442220787605, 0.9936504520017219, 0.9937560555495748, 0.993755383290267, 0.9937547108861849, 0.9937520198211784, 0.9940713592756278, 0.994285098123787, 0.9942844818289658, 0.994283865401208, 0.9942826321467099, 0.9944966008416963, 0.9946027633851469, 0.9946015979270136, 0.9946010150091783, 0.9946004319654428, 0.9947061365600691, 0.9947049924357034, 0.9947044201880472, 0.9947038478166883, 0.9947032753215869, 0.9947027027027027, 0.9947021299599956, 0.9947004109885356, 0.9946998377501353, 0.994699264387711, 0.9946986909012225, 0.9946975435558922, 0.9946969696969697, 0.9946963957138218, 0.9946958216064083, 0.9948018193632229, 0.9947995666305526, 0.9949062533867996, 0.9949057012789941, 0.994904044237233, 0.9949034916504013, 0.9949029389437154, 0.9949007269176522, 0.9948996201844819, 0.9948990666377252, 0.9948985129708021, 0.9948974052763001, 0.9948968512486428, 0.9948962971006624, 0.9948957428323197, 0.9948951884435755, 0.9948929696837988, 0.9948918595804804, 0.9953240539364941, 0.9953235454051115, 0.9953230367631064, 0.9953225280104427, 0.9953220191470844, 0.9957548710133884, 0.9957534843205574, 0.9957525593552603, 0.99575209672149, 0.9957511711515415, 0.9957507082152974, 0.99574931880109, 0.9957479284779764, 0.995856052344602, 0.9958556003926273, 0.9958551483420593, 0.995962902345881, 0.9959615804409517, 0.9961777874849842, 0.9965023499836048, 0.9965008201202843, 0.9965004374453194, 0.9964973730297724], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"group=Oxidoreductases<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Oxidoreductases\\\", \\\"line\\\": {\\\"color\\\": \\\"#FFA15A\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Oxidoreductases\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [1.0, 0.9783902797031722, 0.9782271874745169, 0.9779825491315339, 0.9777379107885509, 0.9775748185598956, 0.9774117263312403, 0.977248634102585, 0.9770855418739297, 0.9769224496452744, 0.9767593574166191, 0.9765962651879638, 0.9764331729593085, 0.9761885346163255, 0.9760254423876702, 0.9756992579303596, 0.9755361657017043, 0.975373073473049, 0.9751284351300661, 0.9749653429014108, 0.9746391584441001, 0.9744760662154448, 0.9743129739867895, 0.9741498817581342, 0.9739867895294789, 0.973742151186496, 0.9735790589578407, 0.9734159667291854, 0.9731713283862024, 0.9729266900432194, 0.9727635978145641, 0.9726005055859088, 0.9724374133572535, 0.9721927750142706, 0.9720296827856153, 0.97186659055696, 0.971621952213977, 0.971377313870994, 0.9712142216423387, 0.9708880371850281, 0.9706433988420452, 0.9704803066133899, 0.9703172143847346, 0.9701541221560792, 0.9699910299274239, 0.9696648454701133, 0.969501753241458, 0.9693386610128027, 0.9690940226698198, 0.9689309304411645, 0.9687678382125092, 0.9686047459838538, 0.9684416537551985, 0.9682785615265432, 0.9681154692978879, 0.9679523770692327, 0.9677077387262497, 0.9673815542689391, 0.9670553698116284, 0.9668107314686455, 0.9666476392399902, 0.9664845470113349, 0.9663214547826796, 0.965995270325369, 0.9658321780967137, 0.9656690858680584, 0.965505993639403, 0.9653429014107477, 0.9651798091820925, 0.9650167169534372, 0.9648536247247819, 0.9646905324961266, 0.9642828019244883, 0.9639566174671776, 0.9637935252385224, 0.9636304330098671, 0.9632227024382288, 0.9629780640952459, 0.9628149718665906, 0.9625703335236075, 0.9624072412949523, 0.962244149066297, 0.9620810568376417, 0.9619179646089864, 0.9617548723803311, 0.9613471418086929, 0.9611025034657099, 0.9609394112370545, 0.9607763190083992, 0.9604501345510886, 0.9602870423224333, 0.9600424039794504, 0.9597162195221398, 0.9595531272934845, 0.9593900350648291, 0.9589823044931909, 0.958737666150208, 0.9585745739215527, 0.9583299355785697, 0.9580852972355868, 0.9578406588926037, 0.9576775666639484, 0.9574329283209655, 0.9572698360923102, 0.9571067438636549, 0.9569436516349996, 0.9567805594063443, 0.9564543749490336, 0.9562912827203783, 0.956128190491723, 0.9559650982630677, 0.9558020060344125, 0.9556389138057572, 0.9553942754627742, 0.9552311832341189, 0.9549049987768082, 0.9547419065481529, 0.9545788143194976, 0.9544157220908424, 0.9542526298621871, 0.9539264454048765, 0.9537633531762212, 0.9535187148332382, 0.9531925303759275, 0.9530294381472723, 0.952866345918617, 0.9527032536899617, 0.9525401614613064, 0.9522139770039958, 0.9520508847753405, 0.9518062464323575, 0.9516431542037022, 0.9514800619750469, 0.9513169697463916, 0.9511538775177363, 0.9509092391747533, 0.950746146946098, 0.9505830547174428, 0.9503384163744597, 0.9500937780314768, 0.9499306858028215, 0.9497675935741662, 0.9496045013455109, 0.9494414091168556, 0.9492783168882003, 0.949115224659545, 0.9488705863165621, 0.948625947973579, 0.9484628557449237, 0.9482997635162684, 0.9480551251732855, 0.9478104868303026, 0.9476473946016473, 0.947484302372992, 0.9473212101443366, 0.9471581179156813, 0.9469134795726983, 0.946750387344043, 0.9465872951153878, 0.9464242028867325, 0.9462611106580772, 0.9460980184294219, 0.9459349262007666, 0.9456902878577835, 0.9454456495148006, 0.9447117344858518, 0.9443855500285412, 0.9442224577998858, 0.9440593655712305, 0.9438147272282476, 0.9436516349995923, 0.9434069966566093, 0.9430808121992987, 0.9429177199706434, 0.9427546277419881, 0.9425915355133327, 0.9424284432846775, 0.9421022588273669, 0.9419391665987116, 0.9417760743700563, 0.941612982141401, 0.9414498899127457, 0.941123705455435, 0.9407975209981244, 0.9406344287694691, 0.9403082443121585, 0.9400636059691756, 0.9399005137405203, 0.9396558753975373, 0.939492783168882, 0.9393296909402267, 0.9391665987115714, 0.9390035064829161, 0.9388404142542608, 0.9385142297969502, 0.9382695914539673, 0.9381064992253119, 0.9379434069966566, 0.9376987686536736, 0.9375356764250183, 0.937372584196363, 0.9372094919677078, 0.9365571230530865, 0.9362309385957759, 0.9359047541384653, 0.9355785696811547, 0.9354154774524994, 0.9352523852238441, 0.9350892929951887, 0.9348446546522058, 0.9346815624235505, 0.9345184701948952, 0.9342738318519123, 0.934110739623257, 0.9339476473946017, 0.9337845551659464, 0.9336214629372911, 0.9334583707086357, 0.9332952784799804, 0.9331321862513251, 0.9329690940226698, 0.9328060017940145, 0.9326429095653592, 0.9323982712223763, 0.9321536328793933, 0.9318274484220826, 0.9316643561934274, 0.9315012639647721, 0.9312566256217891, 0.9310119872788062, 0.9305227105928402, 0.9303596183641849, 0.9300334339068743, 0.929870341678219, 0.9297072494495637, 0.9295441572209084, 0.9292179727635979, 0.9290548805349426, 0.9288917883062872, 0.9286471499633042, 0.928239419391666, 0.927994781048683, 0.9277501427057001, 0.9275870504770448, 0.9274239582483894, 0.9272608660197341, 0.9270977737910788, 0.9269346815624235, 0.9267715893337682, 0.926608497105113, 0.9264454048764577, 0.9262823126478024, 0.9260376743048194, 0.925874582076164, 0.9254668515045258, 0.9253037592758705, 0.9251406670472152, 0.9249775748185599, 0.9248144825899046, 0.9246513903612493, 0.9244067520182663, 0.924243659789611, 0.923999021446628, 0.9238359292179728, 0.9236728369893175, 0.9234281986463345, 0.9232651064176792, 0.9230204680746963, 0.9228573758460409, 0.922612737503058, 0.9224496452744027, 0.9222865530457474, 0.9221234608170921, 0.9218788224741091, 0.9217157302454538, 0.9215526380167985, 0.9212264535594878, 0.9210633613308326, 0.9209002691021773, 0.920737176873522, 0.9205740846448667, 0.9202479001875561, 0.9199217157302455, 0.9197586235015901, 0.9195139851586072, 0.9191878007012966, 0.918861616243986, 0.9186985240153307, 0.9184538856723478, 0.9180461551007094, 0.9177199706433988, 0.9174753323004159, 0.9173122400717606, 0.9171491478431053, 0.9166598711571393, 0.9164152328141564, 0.9162521405855011, 0.9160890483568458, 0.9159259561281905, 0.914865856641931, 0.914621218298948, 0.9138873032699992, 0.9135611188126885, 0.9128272037837397, 0.9125825654407568, 0.9098915436679442, 0.9096469053249613, 0.909239174753323], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.4112478621013448, 0.40596873519658927, 0.4173102344674042, 0.4285510094693586, 0.43282073496498447, 0.451406408856422, 0.4540323497102163, 0.46992392753509526, 0.47397151898734174, 0.48451023214430156, 0.4876638710202752, 0.5058073235629514, 0.5082342954159592, 0.5416006876894539, 0.5778775589030514, 0.5858303956130043, 0.6005220621454747, 0.6034204419332055, 0.6036650007572315, 0.6174344143771948, 0.6527580557072638, 0.6537914432651275, 0.6735821400383358, 0.6764056395447596, 0.6808025535795713, 0.6836711324859728, 0.692838904363974, 0.7154759050587389, 0.7262658227848101, 0.7283882783882784, 0.7365398863917016, 0.7441352632892438, 0.7451727801037306, 0.7580593883130922, 0.766904715949302, 0.7898992576882291, 0.7929588712897644, 0.7978566644340255, 0.8003494388817955, 0.818000687049124, 0.8359435353606293, 0.8421313331446363, 0.8466628717802761, 0.8533821103220716, 0.8576681808349557, 0.8635439360929557, 0.8734205113135469, 0.8736586799941203, 0.8771127020444314, 0.8827637444279346, 0.8828119194471279, 0.8855587862521435, 0.8889886967587394, 0.901183970856102, 0.9064671298770711, 0.906937652811736, 0.911233970667281, 0.9138037282391003, 0.9144818013571869, 0.9165829145728643, 0.916924504950495, 0.9171245066934922, 0.9212469874834798, 0.9221547563443874, 0.922429906542056, 0.925879593432369, 0.9264475743348983, 0.9272342758674709, 0.9283865401207938, 0.9291041846588679, 0.9302618130356161, 0.9309829227984575, 0.9347087186783654, 0.9352796898488804, 0.9358619051389658, 0.9371877230549608, 0.9415703467516939, 0.9442667519590596, 0.945013606531135, 0.94598493348293, 0.947495183044316, 0.948476810545776, 0.9494608079832609, 0.9502174963750604, 0.9522041014048119, 0.9528004525983997, 0.952789005658852, 0.9536295217285748, 0.9542398963310925, 0.954843940008107, 0.9554563894523327, 0.9559886317498985, 0.9569070656150906, 0.9570557137047581, 0.9579838775344027, 0.958904109589041, 0.959441814917578, 0.9599052751918994, 0.9609943576743806, 0.9620864723223059, 0.962629077200459, 0.9630966048876497, 0.9632455492657314, 0.9642681123706259, 0.9644207066557108, 0.9652080934364204, 0.9663948603904127, 0.9667820639630729, 0.9668562948305713, 0.966930562427841, 0.9669251072253382, 0.9669994224898936, 0.9673132480396203, 0.9678645187938868, 0.9688999172870141, 0.9691301829015972, 0.9695263332229215, 0.9696015903255197, 0.9697572292650593, 0.9707175445873082, 0.9707078250767571, 0.9712672313569175, 0.9718251329787234, 0.9724625623960067, 0.972457979697121, 0.9726152821708007, 0.9733399983337498, 0.9733355553703859, 0.9741386502043881, 0.9743782340176932, 0.9743718173470239, 0.9745302713987474, 0.9746888313424108, 0.9748474972841982, 0.9750062693304355, 0.9750815285558994, 0.9753220679270537, 0.9754811715481172, 0.975638342402679, 0.9759591221310102, 0.976036866359447, 0.9761146496815286, 0.9765199161425576, 0.9766798087408775, 0.9772498321020819, 0.9773280712066504, 0.9778151260504202, 0.9778917283120376, 0.9778880107617286, 0.9778842919609821, 0.9779609690444145, 0.9782023228412725, 0.9781986531986532, 0.9784421052631579, 0.9785208894878706, 0.9791772045186309, 0.9791719369255418, 0.979416230808166, 0.9794127573405332, 0.9794092827004219, 0.9802331474911302, 0.9803126320236586, 0.9804750232440199, 0.9805529720131901, 0.9806309735261778, 0.9807822553335591, 0.9807757452574526, 0.9811880349122956, 0.9812680115273775, 0.981263247138618, 0.9812600695327737, 0.9812553011026294, 0.9813322019516334, 0.981495628554452, 0.9815758193241637, 0.9815726902173914, 0.9815695600475625, 0.9817301155676411, 0.9817270100288968, 0.9818908348920251, 0.9820547712195952, 0.9821352615908124, 0.9822127659574468, 0.9824576343353487, 0.9829569663400085, 0.9830349531116794, 0.9830306131150337, 0.9830277185501066, 0.9831072434092655, 0.9831882573818058, 0.9831853875042676, 0.9831825166467475, 0.9832635983263598, 0.9832607396020155, 0.9834230539177988, 0.9834188034188034, 0.983415968541631, 0.9834131326949385, 0.98366124893071, 0.983995207120849, 0.9844138049156461, 0.9844111349036403, 0.9844004457015514, 0.9843950956014748, 0.9850656596000343, 0.9852297123228854, 0.9852271751266856, 0.9852246370586719, 0.9853067537377557, 0.9853876568678013, 0.9853851444291609, 0.9853826311263972, 0.985378859551045, 0.9853763440860215, 0.9855434127871956, 0.9856257531416767, 0.9857081360309944, 0.9857056746749333, 0.9857032124709327, 0.9857007494185546, 0.9857832155781492, 0.9858657243816255, 0.9861182962579755, 0.9862848270508066, 0.986281276962899, 0.9863616745791972, 0.9864444828181661, 0.9864421416234888, 0.986438628314762, 0.9864351131847244, 0.9864280774550485, 0.9864257305896593, 0.9864210344231102, 0.9865893753244506, 0.9865870543440637, 0.9865847325601523, 0.9867509525458954, 0.9868341273278476, 0.9868318461405181, 0.9868284228769497, 0.9870794311481096, 0.9870760690432822, 0.98707270518827, 0.9872417982989065, 0.9878398332319986, 0.9880093839603789, 0.9880931687815053, 0.9880910987482615, 0.9880890279951313, 0.9881728845986607, 0.9881708271723059, 0.988168769030013, 0.9882516752240884, 0.988249630080947, 0.9883305756335452, 0.9883285428098598, 0.9883265092778116, 0.9883244750370306, 0.988322440087146, 0.988320404427787, 0.9884897104987792, 0.988487702773417, 0.9886571852368903, 0.9886552055153155, 0.9886532251025574, 0.9886502531866597, 0.9887346083311501, 0.9887316561844863, 0.9888160768894714, 0.9888131445551477, 0.9888111888111888, 0.988895689429046, 0.9888937472671622, 0.988890832750175, 0.9890619530976549, 0.9890600385086644, 0.9890562073192085, 0.9890542907180385, 0.9890523734454371, 0.9890504555010512, 0.9890485368845278, 0.98921809256662, 0.9892143107681515, 0.9892124188738818, 0.9892095797877006, 0.9892057920140412, 0.9892888498683056, 0.9892869687390236, 0.989284145805885, 0.9892794376098418, 0.9892756680731364, 0.9892728391805152, 0.9893579595426562, 0.9893560872624912, 0.9894375495114867, 0.9894347596407819, 0.9894328989080662, 0.9894310375198168, 0.9894291754756871, 0.9894170561777934, 0.9895015438906043, 0.9895805739514348, 0.9895768925006625, 0.9896560869949607, 0.9898284096939678, 0.9904136339428369, 0.9904110805291663, 0.9904948032335436], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"group=Transferases<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Transferases\\\", \\\"line\\\": {\\\"color\\\": \\\"#19d3f3\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Transferases\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [1.0, 0.9908324358401849, 0.9907273634715911, 0.9905960230108487, 0.9904646825501063, 0.9903596101815125, 0.9902282697207702, 0.9900706611678793, 0.9899655887992855, 0.9898342483385432, 0.9897291759699492, 0.9895715674170585, 0.9894664950484646, 0.9893614226798707, 0.9892563503112769, 0.989151277942683, 0.9890199374819407, 0.9889148651133468, 0.988809792744753, 0.9887047203761591, 0.9885996480075652, 0.9884683075468229, 0.988363235178229, 0.9882581628096352, 0.9881005542567444, 0.987969213796002, 0.9878641414274081, 0.9877328009666658, 0.9876277285980719, 0.9875226562294781, 0.9874175838608842, 0.9873125114922903, 0.9872074391236965, 0.9870760986629541, 0.9869710262943603, 0.986787149649321, 0.9866558091885786, 0.9864982006356878, 0.9863931282670939, 0.9862880558985001, 0.9861567154377577, 0.9860516430691639, 0.9859203026084216, 0.9858152302398276, 0.9856838897790854, 0.985552549318343, 0.9853686726733037, 0.9852636003047098, 0.985158527936116, 0.9850009193832252, 0.9848695789224828, 0.984764506553889, 0.9846068980009982, 0.9845018256324043, 0.9843967532638105, 0.9842916808952166, 0.9841340723423257, 0.9840027318815835, 0.9838976595129896, 0.9837925871443957, 0.9836612466836534, 0.9835561743150595, 0.9834511019464657, 0.9833197614857233, 0.9832146891171294, 0.9830570805642386, 0.9829520081956448, 0.9828469358270508, 0.982741863458457, 0.9826367910898631, 0.9825317187212693, 0.9824266463526754, 0.982295305891933, 0.9821376973390422, 0.9820326249704484, 0.9819275526018545, 0.9818224802332607, 0.9817174078646668, 0.9815860674039244, 0.9814284588510337, 0.9812971183902913, 0.9811395098374005, 0.9810081693766581, 0.9809030970080643, 0.9807980246394704, 0.9806929522708766, 0.9805878799022827, 0.9804302713493919, 0.9803251989807981, 0.9801675904279072, 0.9800625180593133, 0.9799574456907195, 0.9798261052299772, 0.9796947647692348, 0.979589692400641, 0.9794846200320471, 0.9793795476634533, 0.9792744752948593, 0.9791694029262654, 0.9790643305576716, 0.9789329900969292, 0.9788016496361869, 0.9786965772675931, 0.9785127006225538, 0.9784076282539599, 0.9782500197010691, 0.9781449473324753, 0.9780136068717329, 0.9779085345031391, 0.9777771940423967, 0.9776721216738028, 0.977567049305209, 0.9774357088444666, 0.9773306364758727, 0.9772255641072789, 0.9770679555543881, 0.9769628831857942, 0.9768578108172004, 0.9767527384486064, 0.9766213979878642, 0.9765163256192703, 0.9763849851585279, 0.9762536446977856, 0.9761485723291917, 0.9759909637763009, 0.9758858914077071, 0.9757808190391132, 0.9756757466705194, 0.9755706743019255, 0.9754656019333315, 0.9753605295647377, 0.9752291891039954, 0.9750453124589561, 0.9749402400903623, 0.9748088996296199, 0.974703827261026, 0.9745199506159867, 0.9744148782473929, 0.974309805878799, 0.9742047335102052, 0.9740733930494628, 0.9739420525887205, 0.9738369802201267, 0.9737319078515327, 0.9735742992986419, 0.9734692269300481, 0.9733378864693057, 0.9732328141007118, 0.973127741732118, 0.9729701331792272, 0.9728387927184848, 0.972733720349891, 0.9726286479812971, 0.9725235756127032, 0.9724185032441094, 0.9722608946912186, 0.9721558223226248, 0.9720507499540308, 0.9719194094932885, 0.9717618009403977, 0.9716567285718039, 0.9715253881110615, 0.9714203157424677, 0.9713152433738738, 0.9712101710052798, 0.971105098636686, 0.9710000262680921, 0.9708949538994983, 0.9707898815309044, 0.9706848091623106, 0.9705797367937167, 0.9704746644251228, 0.970369592056529, 0.9702119835036381, 0.9701069111350442, 0.9699230344900049, 0.9698179621214111, 0.9697128897528172, 0.9695552811999264, 0.9694239407391841, 0.9692926002784418, 0.9691875279098479, 0.9690561874491056, 0.9689511150805117, 0.9688197746197693, 0.9687147022511755, 0.9686096298825816, 0.9685045575139878, 0.9683732170532454, 0.9682681446846515, 0.9681630723160577, 0.9680054637631669, 0.9679003913945731, 0.9677953190259792, 0.9676902466573852, 0.9675851742887914, 0.9674801019201975, 0.9673750295516037, 0.9672699571830098, 0.967164884814416, 0.9670598124458221, 0.9669547400772281, 0.9668496677086343, 0.9667445953400404, 0.9666395229714466, 0.9665344506028527, 0.9664293782342589, 0.966324305865665, 0.9662192334970711, 0.9660878930363288, 0.9659828206677349, 0.9658252121148441, 0.9657201397462503, 0.965536263101211, 0.9653786545483202, 0.9652735821797263, 0.965142241718984, 0.9650371693503901, 0.9649058288896477, 0.9647219522446084, 0.9646168798760146, 0.9645118075074207, 0.9644067351388269, 0.964301662770233, 0.9641703223094906, 0.9640652499408968, 0.9639601775723029, 0.9638551052037091, 0.9637500328351152, 0.9636186923743728, 0.9633297433607397, 0.9632246709921458, 0.963067062439255, 0.9629094538863643, 0.9626993091491765, 0.9625942367805826, 0.9624891644119887, 0.9623578239512465, 0.9621739473062072, 0.9619900706611679, 0.961884998292574, 0.9617011216475347, 0.961490976910347, 0.9613333683574562, 0.961044419343823, 0.9605715936851507, 0.9603877170401114, 0.9598360871049936, 0.9596522104599543, 0.9592056528934304], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.656214986296175, 0.654134295227525, 0.6644352054118807, 0.6828115663872241, 0.6962993056581475, 0.7004812069189752, 0.7111433907449678, 0.7174182005063099, 0.7222775882555866, 0.7525713486848675, 0.7896799614360867, 0.806629124467379, 0.8165795920137007, 0.8227892345333799, 0.8280744959211944, 0.8369673934786958, 0.8495070057083549, 0.8576603257774233, 0.8723147869209557, 0.8800327332242226, 0.881216633885923, 0.8868097942638984, 0.8907670454545454, 0.9050058935315485, 0.9103581800580832, 0.9175652598194681, 0.9198463946776245, 0.9251550044286979, 0.9256259386001625, 0.9279948655920615, 0.9367290488175634, 0.9375639202773828, 0.9411028196524265, 0.9418974808873293, 0.942269592476489, 0.9464614144264443, 0.948989388580091, 0.9489816546217213, 0.9509712057132728, 0.9511107733617042, 0.9520693852708461, 0.9537578128969968, 0.9553055562625671, 0.9555685695370983, 0.956293483524045, 0.9567756413525782, 0.9585036794766967, 0.9584994378002658, 0.9603113637527526, 0.9610928849702686, 0.9615808776384294, 0.9626633798115194, 0.9653103270667011, 0.9655305665043666, 0.9670468620974402, 0.9689439387670666, 0.970193702092397, 0.9716746212907242, 0.9727567848331385, 0.9729055721522276, 0.9732307612339839, 0.9736075718966145, 0.9743396226415094, 0.9745645778553018, 0.9746888182907141, 0.9748118048500951, 0.9751648294373648, 0.975798038806593, 0.9762538489640415, 0.9762513701132627, 0.976325337370468, 0.9766288027157592, 0.9766767655662348, 0.9770559489899914, 0.9770535504273058, 0.9771788571129817, 0.9777132543357138, 0.9778388278388278, 0.9782198952879582, 0.9783701686393631, 0.9786492717174893, 0.9787997903563941, 0.9794387621295568, 0.9796421638071252, 0.9802315507600221, 0.9803581744656268, 0.9805878799022827, 0.9808940632309269, 0.9809694038481758, 0.9811211611274716, 0.9812739992635843, 0.9814785582741384, 0.9815019471634565, 0.9816028424792735, 0.9816267438799684, 0.9818057347481502, 0.9821141637910598, 0.9822416609580018, 0.9822656723497325, 0.9822896900695762, 0.9825204323754284, 0.9827254265896563, 0.9827236040408304, 0.9829797340088664, 0.9831595618318596, 0.9834424844195627, 0.9835446381405177, 0.9837503633048854, 0.9839046436028226, 0.9839805440270691, 0.9842650870048131, 0.9842894548916925, 0.9842873769971432, 0.984363838399873, 0.9847269647158474, 0.9850635593220339, 0.9852968447823668, 0.9853736089030206, 0.9855548782103952, 0.9856313459346253, 0.9857343621562856, 0.9859677975543117, 0.9862275766903725, 0.9864879214228829, 0.9865905469994689, 0.9866415254687417, 0.9867711515473503, 0.9868221791227184, 0.9868732229692025, 0.9870029768233043, 0.9871327927688422, 0.9872098279575611, 0.987259960636204, 0.9873373945891304, 0.9873882503192848, 0.9874131828947018, 0.9877789019649609, 0.9879880679699569, 0.9881183898553427, 0.988275108588483, 0.988405256283818, 0.98861454778157, 0.9886133333333333, 0.9889813777279761, 0.9890060040026685, 0.9890576209666658, 0.9890561605808242, 0.9891606151217428, 0.9893707937186198, 0.9893955178032428, 0.9894469676729896, 0.9894458397905199, 0.9894447116669339, 0.9894964720974984, 0.9895217984015396, 0.9895201176313327, 0.9895189968182669, 0.9895178757654357, 0.9895429381401941, 0.9896736222578919, 0.9896725171232876, 0.9898035647379971, 0.9899084533433268, 0.9899338741198833, 0.9899593017029025, 0.9899582262210797, 0.9899571505088377, 0.9900621450766098, 0.9901671846533062, 0.990166130760986, 0.990191611952298, 0.9902436409445442, 0.990295686673994, 0.9904534606205251, 0.9905055652407134, 0.9905835010060362, 0.9906356489307467, 0.9906346437676103, 0.9906331356182398, 0.990658470458755, 0.9907370116794201, 0.9908690514555806, 0.9908678251994306, 0.9908668439573428, 0.990998737136255, 0.9910510332966058, 0.9910767080578401, 0.9911290322580645, 0.991127839763409, 0.9911535358967465, 0.9911525843059216, 0.9912578007316548, 0.9913368667437918, 0.9914426414789699, 0.9914684034879966, 0.9915208613728129, 0.9915199483120659, 0.9915991276017125, 0.991598222700956, 0.9916507312343451, 0.9916765434759185, 0.9917023626714082, 0.991754910678199, 0.9919411352487737, 0.9919670054182279, 0.9919661391637236, 0.9919652727223706, 0.9920179057789283, 0.9920437995576892, 0.9920427265125563, 0.992122160470512, 0.9921208850512682, 0.9921200345423143, 0.9921185457097358, 0.9921440526969386, 0.9921432042766888, 0.9921689349751566, 0.9922216820612543, 0.992220631533454, 0.9926214222006, 0.9926206244087039, 0.9926198264442703, 0.9926190283072431, 0.9926450705748743, 0.9926440760472727, 0.9926432802315203, 0.9927498985526849, 0.9928028355745556, 0.9928020565552699, 0.9929354445797808, 0.9929333405534196, 0.9929325751421608, 0.9929314267143321, 0.9930378718101533, 0.9930901799262952, 0.9930894308943089, 0.9931425163983304, 0.993141586922931, 0.9931402852339895, 0.9931389830508475, 0.9931382387242006, 0.9931369357638888, 0.993135446060343, 0.9931343283582089, 0.9931322782920274, 0.9931558935361217, 0.9931545921277809, 0.9931776793237477, 0.9931763810352328, 0.9932002393515749], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"group=Translocases<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Translocases\\\", \\\"line\\\": {\\\"color\\\": \\\"#FF6692\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Translocases\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [1.0, 0.9899222574143391, 0.9887705154045494, 0.987906708897207, 0.9870429023898647, 0.9861790958825223, 0.9858911603800748, 0.9856032248776274, 0.9850273538727325, 0.984739418370285, 0.9835876763604953, 0.9830118053556004, 0.9827238698531529, 0.9824359343507054, 0.9818600633458106, 0.9807083213360207, 0.9804203858335733, 0.979556579326231, 0.9792686438237834, 0.9784048373164411, 0.9775410308090987, 0.9769651598042038, 0.9761013532968615, 0.9752375467895191, 0.9749496112870717, 0.9746616757846243, 0.9740858047797294, 0.9737978692772818, 0.973221998272387, 0.9729340627699395, 0.9726461272674921, 0.9723581917650447, 0.9717823207601497, 0.9709185142528074, 0.97063057875036, 0.9703426432479124, 0.970054707745465, 0.9697667722430175, 0.9694788367405701, 0.9680391592283328, 0.9651598042038584], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.8052399721771388, 0.8036465638148668, 0.8809645972293484, 0.954912329529641, 0.954874651810585, 0.9631608548931384, 0.9721749006246451, 0.9721669980119284, 0.9738115570737261, 0.9813486370157819, 0.9818913480885312, 0.9849971148297749, 0.9852771362586605, 0.9881262670141906, 0.9907030796048809, 0.9915574963609898, 0.9915550378567268, 0.9918367346938776, 0.9947353027200936, 0.9947306791569087, 0.9950175849941383, 0.9950146627565982, 0.9950102729674201, 0.9955908289241623, 0.995589532490444, 0.9955882352941177, 0.9958787165145717, 0.9964643488509134, 0.9967561191388971, 0.9967551622418879, 0.9967542047801712, 0.9967532467532467, 0.996751329001772, 0.9967484481229678, 0.9967474866942637, 0.9967465246968352, 0.9967455621301775, 0.9967445989937851, 0.9967436352871522, 0.9967388081826267, 0.9967291109128754], \\\"yaxis\\\": \\\"y\\\"}],                        {\\\"legend\\\": {\\\"title\\\": {\\\"text\\\": \\\"group\\\"}, \\\"tracegroupgap\\\": 0}, \\\"margin\\\": {\\\"t\\\": 60}, \\\"template\\\": {\\\"data\\\": {\\\"bar\\\": [{\\\"error_x\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"error_y\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"bar\\\"}], \\\"barpolar\\\": [{\\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"barpolar\\\"}], \\\"carpet\\\": [{\\\"aaxis\\\": {\\\"endlinecolor\\\": \\\"#2a3f5f\\\", \\\"gridcolor\\\": \\\"#C8D4E3\\\", \\\"linecolor\\\": \\\"#C8D4E3\\\", \\\"minorgridcolor\\\": \\\"#C8D4E3\\\", \\\"startlinecolor\\\": \\\"#2a3f5f\\\"}, \\\"baxis\\\": {\\\"endlinecolor\\\": \\\"#2a3f5f\\\", \\\"gridcolor\\\": \\\"#C8D4E3\\\", \\\"linecolor\\\": \\\"#C8D4E3\\\", \\\"minorgridcolor\\\": \\\"#C8D4E3\\\", \\\"startlinecolor\\\": \\\"#2a3f5f\\\"}, \\\"type\\\": \\\"carpet\\\"}], \\\"choropleth\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"choropleth\\\"}], \\\"contour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"contour\\\"}], \\\"contourcarpet\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"contourcarpet\\\"}], \\\"heatmap\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"heatmap\\\"}], \\\"heatmapgl\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"heatmapgl\\\"}], \\\"histogram\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"histogram\\\"}], \\\"histogram2d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"histogram2d\\\"}], \\\"histogram2dcontour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"histogram2dcontour\\\"}], \\\"mesh3d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"mesh3d\\\"}], \\\"parcoords\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"parcoords\\\"}], \\\"pie\\\": [{\\\"automargin\\\": true, \\\"type\\\": \\\"pie\\\"}], \\\"scatter\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatter\\\"}], \\\"scatter3d\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatter3d\\\"}], \\\"scattercarpet\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattercarpet\\\"}], \\\"scattergeo\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattergeo\\\"}], \\\"scattergl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattergl\\\"}], \\\"scattermapbox\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattermapbox\\\"}], \\\"scatterpolar\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterpolar\\\"}], \\\"scatterpolargl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterpolargl\\\"}], \\\"scatterternary\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterternary\\\"}], \\\"surface\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"surface\\\"}], \\\"table\\\": [{\\\"cells\\\": {\\\"fill\\\": {\\\"color\\\": \\\"#EBF0F8\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"header\\\": {\\\"fill\\\": {\\\"color\\\": \\\"#C8D4E3\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"type\\\": \\\"table\\\"}]}, \\\"layout\\\": {\\\"annotationdefaults\\\": {\\\"arrowcolor\\\": \\\"#2a3f5f\\\", \\\"arrowhead\\\": 0, \\\"arrowwidth\\\": 1}, \\\"coloraxis\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"colorscale\\\": {\\\"diverging\\\": [[0, \\\"#8e0152\\\"], [0.1, \\\"#c51b7d\\\"], [0.2, \\\"#de77ae\\\"], [0.3, \\\"#f1b6da\\\"], [0.4, \\\"#fde0ef\\\"], [0.5, \\\"#f7f7f7\\\"], [0.6, \\\"#e6f5d0\\\"], [0.7, \\\"#b8e186\\\"], [0.8, \\\"#7fbc41\\\"], [0.9, \\\"#4d9221\\\"], [1, \\\"#276419\\\"]], \\\"sequential\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"sequentialminus\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]]}, \\\"colorway\\\": [\\\"#636efa\\\", \\\"#EF553B\\\", \\\"#00cc96\\\", \\\"#ab63fa\\\", \\\"#FFA15A\\\", \\\"#19d3f3\\\", \\\"#FF6692\\\", \\\"#B6E880\\\", \\\"#FF97FF\\\", \\\"#FECB52\\\"], \\\"font\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"geo\\\": {\\\"bgcolor\\\": \\\"white\\\", \\\"lakecolor\\\": \\\"white\\\", \\\"landcolor\\\": \\\"white\\\", \\\"showlakes\\\": true, \\\"showland\\\": true, \\\"subunitcolor\\\": \\\"#C8D4E3\\\"}, \\\"hoverlabel\\\": {\\\"align\\\": \\\"left\\\"}, \\\"hovermode\\\": \\\"closest\\\", \\\"mapbox\\\": {\\\"style\\\": \\\"light\\\"}, \\\"paper_bgcolor\\\": \\\"white\\\", \\\"plot_bgcolor\\\": \\\"white\\\", \\\"polar\\\": {\\\"angularaxis\\\": {\\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"radialaxis\\\": {\\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\"}}, \\\"scene\\\": {\\\"xaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}, \\\"yaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}, \\\"zaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}}, \\\"shapedefaults\\\": {\\\"line\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}}, \\\"ternary\\\": {\\\"aaxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}, \\\"baxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"caxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}}, \\\"title\\\": {\\\"x\\\": 0.05}, \\\"xaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zerolinecolor\\\": \\\"#EBF0F8\\\", \\\"zerolinewidth\\\": 2}, \\\"yaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zerolinecolor\\\": \\\"#EBF0F8\\\", \\\"zerolinewidth\\\": 2}}}, \\\"title\\\": {\\\"text\\\": \\\"Performance by EC class\\\"}, \\\"xaxis\\\": {\\\"anchor\\\": \\\"y\\\", \\\"domain\\\": [0.0, 1.0], \\\"title\\\": {\\\"text\\\": \\\"recall\\\"}}, \\\"yaxis\\\": {\\\"anchor\\\": \\\"x\\\", \\\"domain\\\": [0.0, 1.0], \\\"range\\\": [0.92, 1], \\\"title\\\": {\\\"text\\\": \\\"precision\\\"}}},                        {\\\"responsive\\\": true}                    ).then(function(){\\n\",\n              \"                            \\n\",\n              \"var gd = document.getElementById('4f687425-cc00-4b4b-9dd4-c2ad0826d20f');\\n\",\n              \"var x = new MutationObserver(function (mutations, observer) {{\\n\",\n              \"        var display = window.getComputedStyle(gd).display;\\n\",\n              \"        if (!display || display === 'none') {{\\n\",\n              \"            console.log([gd, 'removed!']);\\n\",\n              \"            Plotly.purge(gd);\\n\",\n              \"            observer.disconnect();\\n\",\n              \"        }}\\n\",\n              \"}});\\n\",\n              \"\\n\",\n              \"// Listen for the removal of the full notebook cells\\n\",\n              \"var notebookContainer = gd.closest('#notebook-container');\\n\",\n              \"if (notebookContainer) {{\\n\",\n              \"    x.observe(notebookContainer, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"// Listen for the clearing of the current output cell\\n\",\n              \"var outputEl = gd.closest('.output');\\n\",\n              \"if (outputEl) {{\\n\",\n              \"    x.observe(outputEl, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"                        })                };                            </script>        </div>\\n\",\n              \"</body>\\n\",\n              \"</html>\"\n            ]\n          },\n          \"metadata\": {}\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"S354lNUzxMIB\"\n      },\n      \"source\": [\n        \"And what about at different levels of the EC hierarchy?\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 464\n        },\n        \"id\": \"HOTqUhqyxMIC\",\n        \"outputId\": \"24cb0996-ffd4-47c1-a35d-6616169ac7e5\"\n      },\n      \"source\": [\n        \"def get_level_of_hierarchy(ec):\\n\",\n        \"    num_of_dashes = ec.count(\\\"-\\\")\\n\",\n        \"    level_of_hierarchy = 4 - num_of_dashes\\n\",\n        \"    return level_of_hierarchy\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"level_of_hierachy_grouping = {x: get_level_of_hierarchy(x) for x in vocab}\\n\",\n        \"\\n\",\n        \"level_data = colab_evaluation.apply_threshold_and_return_stats(\\n\",\n        \"    predictions_df, ground_truth_df, grouping=level_of_hierachy_grouping)\\n\",\n        \"ggplot(level_data, aes(x=\\\"group\\\", y=\\\"f1\\\")) + geom_point() + geom_point(\\n\",\n        \") + geom_line() + theme_bw() + labs(\\n\",\n        \"    x=\\\"Level of hierarchy\\\", y=\\\"F1 score\\\") + coord_cartesian(ylim=[0.95, 0.99])\"\n      ],\n      \"execution_count\": 23,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8790441904393)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 23\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"69I2wI1oxMIC\"\n      },\n      \"source\": [\n        \"Now let's try varying the threshold to generate a precision-recall curve.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"Z9YIbO0dxMIC\",\n        \"outputId\": \"d8c1c74b-a79b-453b-c07a-d0c3d9ba9217\"\n      },\n      \"source\": [\n        \"cnn_pr_data = colab_evaluation.get_pr_curve_df(predictions_df, ground_truth_df)\\n\"\n      ],\n      \"execution_count\": 24,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:00<00:00,  6.97it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 464\n        },\n        \"id\": \"2hmFNu1oxMIC\",\n        \"outputId\": \"b71a7294-7ed9-47ac-c9a3-0f15c3dad803\"\n      },\n      \"source\": [\n        \"ggplot(cnn_pr_data.drop(index=0),\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\",\\n\",\n        \"           color=\\\"f1\\\")) + geom_line() + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.96, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"F1 Score\\\")\\n\"\n      ],\n      \"execution_count\": 25,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAqEAAAGuCAYAAACgHN8WAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeXxU5d3//9c5meyZbCSBhF3Zt6IouIKiIGq1dwFRrIpdUGv91XrfteWutC5fQGtrb/u99a6tKLZ437bg+i0oolXvinVBBSkoogJhhwRIQvbMnPP7Y5IhyySZTGZyMjPv5+Nxmck5Z67zOXOZ8Ml1rus6hm3bNiIiIiIiPch0OgARERERiT9KQkVERESkxykJFREREZEepyRURERERHqcklARERER6XFKQkVERESkxykJFREREZEe53I6gJ5QVlZGdXW102GIiIhIF6SlpZGdne10GBIhMZ+ElpWV8eijj9LQ0BD2uk3T5LTTTmPTpk1YlhX2+p2WkZHhv77Kykqnw4kItWF0i/X2A7VhLFAbhi4xMZEf/OAHSkRjlBHrT0w6cOAAf/jDH5g9ezZ5eXlOhxNVXC4XOTk5HD9+HI/H43Q4EgK1YfRTG0Y/tWFoSktLef7557npppsoKipyOhyJgJjvCW2Sl5cX9v+JLcvi0KFD9OvXD9OMveG1tm3j8XjIz8/HMAynw4kItWF0i/X2A7VhLFAbigSm/1tEREREpMcpCRURERGRHqckVERERER6nJJQEREREelxUTcxac2aNbzxxhvs3r2bs88+mzvvvNPpkERERESki6IuCc3NzWXevHls3ryZEydOOB2OiIiIiIQg6pLQc845B4CdO3cqCRURERGJUhoTKiIiIiI9Lup6QoNRWlpKaWkpACUlJdTX1wOE/XFiTfXF6qPmbNvGsiwsy4rJBZZBbRjtYr39QG0YC9SGIoHFZBL63HPP8fjjj/u/nzZtGgCHDh2KyPmOHDkSkXql56gNo5vaL/qpDaOf2lC6KiaT0Dlz5vgTz5KSEl555RUA+vXrF9bzWJbFkSNHKCgoiMlHlTU9as7lcsXkX++gNox2sd5+oDaMBWrD0ESq40h6j6hLQr1eL16v139ro76+HtM0cblOXkpeXh55eXkAZGZmkpSUBBCxX3CmacbkL0/btv3XFou/OJtTG0a3WG0/UBvGArWhSGBRl4T+5S9/4c9//rP/+3feeYfp06fzox/9yMGoRERERKQroi4Jvfbaa7n22mudDkNEREREukH95iIiIiLS45SEioiIiEiPi7rb8aH4wbdWkc466kqyMQw3tl2PAWBkgOkGknzbDA+QDEYyGIlAIoaZBSSBmY5BGnZCBqaRjW2kYdkpgBfLysCy0lpMjhIRERGR9sVF1lR2IoO09AzABNsDVhU2J8C2fAknLrAqsI16IB2MJN8+uxKbSsBu3G6C3YBFra8uI41cqvCW2ICBl9TG5NUiAd8C+RjpYGT6t2PVgOEFs49vHyZQD6SCmQlGKpCAgRebFF9shhcDsEkFw+Xbb2b49htJQCIGKRiubCDDV4eZ4ouZLExXUs992CIiIiJBiIsk9L//32XcdNNNFOUXdasey/JgWccw7TIsbzmWVUN5WTE5mclg14LdgGF7wfCAXY5hlWJbZb432yZggVkDdjVgg13nK96jvsSUxh5Yuw7brmhMMJPBrsKmAQw3kAB2NTY1jVFlAPXY1GNgNn5fBzT491vUAR7fe410MFIAA6xKMOzGJDnZl6BTC2YBkAS2BxML28zGNrIBFyRkg9kXEvpBQhEkjsQ0M7r1uYqIiEj8iYskNFxM04VpFgAFmIm+BXo9DCMhtZ9ja6P51kutxbDLwagGTwVQA1YVGHXgrQbKwSrzJb+2gS9BrQNvuS/5NZJ9ldnVYFfgS0DrwTrmO9Yu8W2zSvAlsybgG4oANVjQmNymgdUARoNvqEPCADD6+rYn5EFCPpi5vmTayGvsDc7CdKX09McmIiIiDlMSGuV8iwOnAWm+DWFsUdu28bbzlA/Lcww8u8DzJdiHfUkvdWCd8PXsUu5LYu3DYB3Gl/gmA0n4ktdqmgK2GocgYFu+rwk5kDAIEgrB7O/rcXUNBnMopku9riIiIrFASaiExHTlgisXmBT0eyzL8iWmVmmzRLWisQe2EjwHwfMV2KXg+RQatgL1YNfQNLzAIr1xMlkyYEPCQN/QACMDXwKb7et9TcgB0sHVH0zneqpFREQkMCWh0mNM0wQzD8gL+j2+xPUQNBSDtRs8e8Eu8yWznq+gYQt4ttE0VhZq8CWoiUAVvkllCVhmLr5JXsmNY1r7gpENpJKKCXVTsBInYrrSwn3ZIiIiEoCSUOnVfIlrEbiKgLODeo/lqfCNX7XLfV8bdoB1BKy94NkHnu3g+QJIADy4jRNQ/jvfe42sxrGqKY1jWU8BsxAS+oBrCCScgukqiNTlioiIxA0loRJzTFcmkHlyQ+ol7R5rWRZHDh2gX3YJWNug4XPfGFarFDw7wPMZkOhLaPEtxWUZWY23/xMB8+QYVnMAJA7x9fYafcAs1BhWERGRdigJFcGE5K9hmqe1e4TlKQPrADR8Bt4vfD2s3qO+r54vG3tWgeo6oNb32kjDIrHxdQIYOY2rA+SC61RImYmZNCaylyYiItJLKQkVCYLpygayoZOk0fIcAk8J2Ed941a9h8EqBu9Xvtn/1gmwD0L9Bqj+LywSfCsA4IKETHCNxU44FVyFGOYgcJ2qSVUiIhKTlISKhJHp6geufp0eZ1keqPs71L8F3lLfmFVPMTR8it34xC6DOsDCY+ZC0rmYGbdguoZF/BpERER6gpJQEQeYpgtSp/tKK7anEjgODV9g178HdRuhdh1W7etYRuOyU8nTwTUMzNG4kvr3/AWIiIh0k5JQkV4mwZUBZIBroD9Jtax6rJoXoO4taHjHtzSVkQy2hYd6MNKxXKMxXKMg6RwSkqf5El0REZFeSv9KiUQB00zCTL8a0q8GfLfzLc9+8PwTPFugYTO2pxi7YTtUP4NFLZgDMJKmYSeeg8caT0JikcaXiohIr6EkVCQKmaYLM2kwJA0Gvg6c/GH21G/Fqvkrdt1r2LXPQ+1LWDRgUec7KqEQw3UqRuIkjORZmK6hSk5FRKTHKQkViTGupHGQNA74d7xeL57a7ZjsAWsPeL/AatiN7dmJXfcRVuV/AF4wCsA1jITEERhJZ2IknofLldnZqUREREKmJFQkhpmmiZk0ApdrDIZhtNjn8ZSR0PAB3vrt2J6N4D2Et/o9qH4KSKXBNRDTNR4z5QoSks9Xb6mIiISVklCROOVyZYNrJq7UmS22W55dNFQ/j13/D6y6t7FqX8KDB4w+GCnTScr4AaZrsENRi4hIrFASKiItmK6hJGf+G/BvAHjqNuOtex2r9u94a16kpub/gWGAkY3pGoGZdBHJ7hucDVpERKKOklAR6ZAreSKu5ImQ+WMsqx5P9Wq8da9iW0exPDuwGj6iofI3JKTdQGL6t3C5+jodsoiIRAEloSISNNNMIinjW5DxLf+2+urXaKj8LQ1VD9NQ9X8xXGNIcf9/JKZe6mCkIiLS22mmgYh0S1LaDNIL1pBWsIXEjJ+AdYSasjs5cXgmllXhdHgiItJLKQkVkbBwubJJzbwVd78PSUq/Hcs6xImSWU6HJSIivZSSUBEJu5TMhaRk3YvXu4eKo9/FsiynQxIRkV5GSaiIRERy2jdJzriDhrpXKS+dieUpdTokERHpRZSEikjEpGf+G+k5K7A8X3K8ZCoVx+/VOFEREQGUhIpIhKWkziAr/zXMxHHU1T7D0UOnUVv9mtNhiYiIw5SEikjEuRKHk5O3ipz8lzHMAsqOL6C0ZC4ez36nQxMREYcoCRWRHuNynUJuwTukZdyJp/5DSksup67uQ6fDEhERBygJFZEeZZommVl3kFewEdtuoLR0LpVVLzodloiI9DAloSLiCFdiPvkFb5KQOJrjZbey/+DpnKh8Wss5iYjECSWhIuIYl6uAfgWvkJv9W7ANysrv5ODhKdTUvOp0aCIiEmFKQkXEcenpV9G/6CMK8tcBHkqOfpvyE086HZaIiESQklAR6TWSk75GYd93SUo+j+Pld1F84DQOlX6P8hOrdZteRCTGuJwOoCdkZGTgcrmwbTus9dq27a833HX3Bk3XFIvX1kRt2PsYRjJ98/5CZdVzlFU+Rm3de9TUvsHR8sXkZv2crIxv+Y+N9faD6GzDrlAbRr9ItaHLFRcpSlyLixY+7bTTyMnJwePxhL3unJwcLMuK6V4ar9frdAgRpTbsnVKSv0G/5G8AUF3zOuVVv+RY+Z0cP/EI6SlXkZV+G6ZpxkX7QXS2YbDUhtEvEm2Yk5MTtrqkd4qLJHTTpk2MHz+e/Pz8sNZrWRZHjx6lT58+mGbsjWywbRuv10tCQgKGYTgdTkSoDaNDpnsWme5ZVFa9ztET91FR8zjl1f9JdsZteGuvIz8/PybbD2KnDdsT6z+DoDYMVUlJSdjqkt4pLpLQyspKPB5P2H/4DcPw1xuLv1iaxPL1qQ2jiztjBu6MGdTUbaK07D7KKn8D9p9JrPwufbK+73R4ERUrbdhavPwMgtqwqyJx91J6l9j8s1NEYlpq8mkM7PsC/XL/G8jgaMVv2HngHCyr0unQREQkSEpCRSRqpadMIz3hf8jPfoB67352Hf6XmB9XKCISK5SEikjUy0r/JoW5j1Pn+YzdJVcpERURiQJKQkUkJmSlzyQv88dU12/ii0MXUO/Z73RIIiLSASWhIhIzCrLuYHDeM9R797G75HqnwxERkQ4oCRWRmOJOnUK/rJ9R2/AlB8p+63Q4IiLSDiWhIhJz8jO/R2ry+RyseIjDFSudDkdERAJQEioiMenU/JVkJJ/PnrKfc6D8d06HIyIirSgJFZGYZJomw/NXkpk8lf3lv2R/2cNOhyQiIs0oCRWRmGWaJiP7/gl30jkcqHicIydWOR2SiIg0UhIqIjFvRMHTJCX0Y/ex+6is2+p0OCIigpJQEYkDpmkytvAlbCORrYevod5T7nRIIiJxT0moiMQFl5nBuH7PYJDCxv3ncPjEc06HJCIS15SEikjcSE8axbh+z5Bo9mXHsf/DwRPPOh2SiEjcUhIqInElPWk4kwe+QXJCX744ei+VtTudDklEJC4pCRWRuDSx318wzDQ+OjyPes8Jp8MREYk7SkJFJC4lubL5Wt8nMI0k3jtwMdX1B50OSUQkrigJFZG4lZk8jnH5/xfbtnl3/ywOnljndEgiInFDSaiIxLWc1DOY0n8tyQl92Xr036lu2O90SCIicUFJqIjEvRRXPmcNeAHb9rL5yO1OhyMiEheUhIqIAC4znSGZ36WqYT/Haz9xOhwRkZinJFREpNGwnP8PL3V8duxBp0MREYl5SkJFRBqZpklh+iWU1W2h3lPmdDgiIjFNSaiISDOjc36CaeSy7dh/OB2KiEhMUxIqItJMkiuH9MSh7Kt8GcuynA5HRCRmKQkVEWllQt4iLBr4vGy506GIiMQsJaEiIq1kJY8iI+lrfFb2R/WGiohEiJJQEZEAJub9GK9dy+bSXzsdiohITFISKiISQJ+U8QxMn8UXFc+ypfR3TocjIhJzlISKiLRjcsH/IT/1dD4vX8Xa4muo8Rx1OiQRkZihJFREpB2maTK9/2NMKfg5FQ17+ODI/U6HJCISM5SEioh0YpB7OgWpp3Ow+j1NVBIRCRMloSIiQZjY5wd4rQa2HV/pdCgiIjFBSaiISBD6pIzGnTyej449RZ3nhNPhiIhEvV6RhFZWVvLLX/6Sq6++mhtvvJGXXnqp3WPffPNNvv/97zNv3jwWLVrEvn37ejBSEYlnFxb+H2zb4r2S/3Q6FBGRqNcrktDf//73NDQ0sGLFCu655x6effZZPvroozbHffrppzz++OP8+Mc/5plnnmHChAksXboUr9frQNQiEm/cSYUUpE5kV+VbTociIhL1HE9Ca2treeedd7j++utJS0tjyJAhzJw5k9dee63Nse+//z7nnHMOp556KgkJCVx99dUcPnyYbdu2ORC5iMSjQenn4rFrqPWUOR2KiEhUczwJ3b9/P7ZtM3jwYP+2oUOHsmfPnjbH2rYd8Pvdu3dHNEYRkSbDM2cC8OWJ9Q5HIiIS3VxOB1BbW0taWlqLbenp6dTU1LQ5dtKkSTzwwAPMnDmToUOH8pe//AWv10tdXV2L40pLSyktLQWgpKSE+vp6gLAvrdJUX6wu2WLbNpZlYVkWhmE4HU5EqA2jmxPtl2Rm4jJSKK78B2Oy5kb8fGrD6Kc2FAnM8SQ0JSWlTcJZXV1Nampqm2O/9rWvsWDBAv7jP/6DiooKpk+fzsCBA8nLy2tx3HPPPcfjjz/u/37atGkAHDp0KAJXAEeOHIlIvdJz1IbRrafbL80o5GjNjoj9TolH+hmMfmpD6SrHk9D+/fsDsGfPHgYNGgTArl27/K9bmzVrFrNmzQJ8s+pfffVVhg8f3uKYOXPm+BPPkpISXnnlFQD69esX1tgty+LIkSMUFBRgmo6PbAg727bxeDy4XK6Y/Osd1IbRzqn2G1R6Pp+UraGgIA/TjOyvUbVh9FMbhsaJP/Luuece7r333jbbx44dy9atWwF47bXXWLFiBe+//z47d+7kBz/4AY888khQ9b/33nvce++9bNq0ifLycvr27csZZ5zBnXfeyZQpU8J6LdHA8SQ0JSWFc889l5UrV3LHHXdQUlLC+vXruf3229sc29DQwL59+xg8eDDl5eU89thjnH322QwYMKDFcXl5ef7e0czMTJKSkgAi9gvONM2Y/OVp27b/2mLxF2dzasPo1tPtN9h9Hu8f+wv7a7cwOOOMiJ5LbRj91IbRJTU1lTfeeKPFtubDBtetW8cnn3zCtGnTOHbsWND1vvPOO1xwwQXMmjWLxx57jMzMTL744gtefPFFPvjgAyWhTrn55pt55JFHuPHGG0lNTWXOnDlMmjQJgHnz5nH33XczduxYGhoaePjhhzl48CBJSUmcf/753Hjjjc4GLyJxp2/ySMDgq8p3Ip6EikjPMk2Ts846q939v/rVr3jooYcA2iSrHfnd737HkCFDePHFF0lISABg+vTp3HzzzT0yntbr9WJZFomJiRE/V7B6xZ8sGRkZLFq0iFWrVvHHP/6Rb3zjG/59q1atYuzYsYDvL5Hf/va3rFq1iqeffpqbb76Z5ORkp8IWkThlmiZpCdkcrPnU6VBEpIeF2tt7/PhxCgoK/AloR3W+++67zJw5k8zMTNxuN1OmTGmxdOWxY8f4zne+Q15eHqmpqZxzzjn8/e9/b1HHBRdcwNe//nX++Mc/MnLkSJKTk/nkk08AWLt2LVOmTCE1NZX8/Hy+//3vU1VVFdJ1dUevSEJFRKJNbvIQyhsOOB2GiESAx+NpUVovERmKSZMm8Y9//IOf//znbN++vd3jmm7b19XVsXz5cp577jm+8Y1v+Jeu9Hq9XHrppfz1r3/ll7/8JatXryYjI4MZM2a0edDPhx9+yK9+9Svuu+8+Xn75ZQYOHMizzz7LlVdeyfjx43nhhRd48MEHef755/nud7/b7Wvsql5xO15EJNoMSPsa+6o3UeupJsWV1vkbRCQqVFVVtbllvXLlSq677rpu1XvnnXfy3nvvsWTJEpYsWUJubi6zZs3illtu4fzzz/cf95Of/IRhw4bxxhtv+HtNZ86c6d+/du1aPvjgA9atW8cll1wCwCWXXMKwYcNYtmwZzz33nP/YY8eOsXHjRgYOHAj4xif/+Mc/5uqrr2b58uX+4woLC7nsssv4+c9/7r/73BPUEyoiEoLRmTOos9LYcnyd06GISBilpqaycePGFuWyyy7rdr1ut5v169fz/vvv84tf/IKJEyeyevVqpk2b5k8Iq6uree+991iwYEHA2/YAb7/9NpmZmf4EFCAxMZHZs2ezYcOGFsdOmDDBn4AC7Nixg+LiYubNm9eip3fatGmYpsmHH37Y7evsCvWEioiEIDOpL0kJqWypeJ3J+bOdDkdEwsQ0Tc44I3ITDidPnszkyZMB35KU06ZN46c//Snf+973OH78OJZlUVRU1O77m8aWtta3b982s/X79u3b4vumB/l885vfDFj33r17u3Qt3aUkVEQkRKdmnMm28jexLE/E1wsVkdgzdOhQrrrqKn7zm99w+PBhsrOzMU2TAwfaH2+em5sb8MEAhw8fJjc3t8W21kuCNe1/5JFHAi4J1VHyGwm6HS8iEqKz+1yNbRv8afdiaj3VTocjIr3Y4cOHA27fsWMHycnJZGdnk56eztlnn82f/vQnvF5vwOPPO+88KioqWL9+vX+bx+PhhRde4LzzzuswhlGjRjFgwAB27tzJGWec0ab0dBKqP91FREKUlzKQs/pcy99L/8LK4l+w8NRfOx2SiERYcXExGzduBHxjOL/66iueffZZAObOndvu+xYuXIjH42HOnDkMHz6ciooKnn32WdasWcOPfvQj/5KTDzzwANOnT+fiiy/m1ltvJScnh48//pi8vDy+853vcPnllzN58mSuu+46HnjgAfr27ct//ud/cvDgQX72s591GLthGPzmN7/h2muvpaqqissvv5z09HSKi4tZu3Yty5YtY8SIEWH6pDqnJFREpBsu7HcteSkDeW7fr/mk7E2+ln2h0yGJSAS9+eabfPvb3/Z/v27dOtat801Q7Ggppx/84Af86U9/YtmyZRw8eJC0tDROPfVUnnjiCRYsWOA/7rzzzuOtt95i8eLF3HjjjSQkJDB27FiWLFkCQEJCAi+//DI//vGPufPOO6mqquL0009n/fr1/gf9dOSqq64iOzubpUuX8vTTTwMwZMgQZs2a1WYMaaQZdjgWv+rFDhw4wB/+8AduuummsHczW5bFoUOH6NevX0w8qqy1WH/eMagNo11var8HP7ueRDOZO0Yu7/zgLlAbRj+1YWgi+e+39A6x+RMvItLDzsz5OtWeOsrrS50ORUQkKigJFREJgyl5l1HtreKzio1OhyIiEhU0JlREJAzSXG4SDBe7qrZxVt6lTocjIl1g23V4Sy4B6zgYyUAyhhF4sfjw8oBd5ytJk0nIDe9wnt5OSaiISJhkuLI5VFvsdBgi0lV2DR7vvsbXVS12Ga2+hvW0TV9tG8NTTE+kvb2JklARkTApSB7A7qrPnA5DRELgJbh52t1JSu1WX5tX2jM9r72LklARkTAZlDaKLyo347HqcZlJTocjIl3gta0uv6d5Ihpo5QPf+kN2UOmtGcL5o50mJomIhMnIzDOwbfjixCdOhyIiXWADHuwul4bmxbbw2DYe26LBtqi3LRqwaAiyrmB7YmOJekJFRMKkMGUIdXYqn57YxuisM50OR0S6wAoxCQy03Hoo68EaSkJFRCRUpmmSmpDG7qrPnQ5FRLrE14MZ3JHBHNTyqKBS0th+dlBASkJFRMKoIKWIQ7V7nQ5DRLqovdvhwY3o7AojYFKqnlAREemWU9JGsqvqczyWB5epX7Ei0cC2wdvYE9n8vxE6W6vvfUmp7S2J4Dl7J01MEhEJo3HZvrGgX1V96nAkIhI0w6DOtqhrnFBUb9s0NJXWE5DCXZrOacXf7Hj9mS4iEkaDUk/FwGDr8Y8Y6Z7gdDgiEgzbpr69lKixhzSci9a3XS/UIDmhXxhqji5KQkVEwsg0TRKNAj6v3ON0KCISJBvw2u2ll623N0tKjeCS0qY5R3YHR3uDqCfWKAkVEQmzrKRcSmuPOB2GiATNwBPKCEXb/x8MTiakJx/H2VR956mqKw5HSCoJFREJs6FpQymu2uV0GCLSBe33hHbGN6+96b8BBTHPKfTzR6/4S7tFRCJsbNYEbGz2VuuWvEi08GIGXTyNpQGTev9XF/XNvvd0oT4vJlYcpmTqCRURCbNRmWMA+GfZZgamDXI4GhHpjA14OumJDDSZqK0Oxo+2844m3vhbJlRJqIhIuCWZSSSZSXxRucPpUEQkSN5WPZHBJZ1d1X5SGuwTm2JJ/PX9ioj0gNzEPuyr3ud0GCISBBtosE0aLJP6xtJgmTTYJh5/McJQfHU1NJb6xtJgm1Q2lAaMraysjHnz5uF2uykqKuLhhx9u9zpWrlzJyJEjycjIYOrUqXz++clHCL/11luYpklGRoa/LFu2LNwfZZeoJ1REJAKm9JnG/+x9np2VuzklY4jT4YhIhwxq7cS2myOwRqi/av9XX60ZiYGH7tx2223U1dWxf/9+iouLueiiixg5ciSXXnppi+M2bNjA7bffzuuvv86ECRNYsmQJV155Jdu2bcPl8qV7BQUFHDp0KIxX0T3qCRURiYBL+s0g2UzmP7/8g9OhiEgQPHZCgOLCY7toaCz1dgINzYqH4EvTe+obi+97l/9cXrttSlZVVcXq1atZunQpmZmZjB8/noULF/Lkk0+2Ofall15i7ty5nH766bhcLhYvXsyuXbt4++23e+LjC4mSUBGRCHCZLuYPmMPx+hNsK/+88zeIiKM8zWa9t18SaPCXk7fSPbaJt1Vpfuu93vbNmG9ok5yerLv1mFSAHTt2YFkW48aN82+bOHEiW7dubXOsbdvYtt3ie4AtW7b4tx09epR+/foxePBgbr75Zo4dOxbOj7DLdDteRCRCZhReyFPFz7HmwGuMzRrpdDgi0g4bGFr2eIfHfJl1S4f7DU5OLLI7uIE/rPyx9itpdUe+srKSrKysFtuys7M5ceJEm7dedtllzJ49m4ULFzJx4kTuu+8+PB4P1dXVAIwaNYrNmzczevRo9u/fzy233MKCBQv461//2uF1RZKSUBGRCBqc1p/PT+x0OgwR6SZPgNvlLWfQ+56ZFM7xoxkZGVRUVLTYVl5ejtvtbnPs9OnTefDBB7nhhhsoLS1lwYIFjBkzhgEDBgDQr18/+vXzPZ9+4MCBPPLIIwwbNozq6mrS0tLCEG3X6Xa8iEgEnZt3JlXeao7WHXc6FBFpV+cpY9Pi9E231X231l14cOHFhZdEvI3ft75t3/y2e1eMGDECwzDYtm2bf9vmzZtb3J5v7qabbmL79u2UlpayePFidu/ezeTJkwMea5pmm1v4PU09oSIiEXRRwSOzwkAAACAASURBVFT+u/hF1h/6O/MHf8PpcEQkABvY7L693X2+FwmNL0Lp4zyZ6G1y3x6whuykIUzi6Rbb0tPTmTt3LnfddRcrV66kuLiY5cuXs2LFijbvr6urY/v27YwfP56SkhJuvfVWZs+ezciRvqFAb775JkOHDmXw4MEcPnyYH/7wh8ycOZP09PQQric81BMqIhJBKa4kUhIyeefoJ06HIiLtsX2L1XtaTSjyTTpqPWPeDKG0rKPBbrkGqReTioajAUN79NFHSUxMpLCwkBkzZrBo0SL/8kwZGRn+2e/19fUsWLCAzMxMxo0bR1FREb///e/99WzatInzzz+f9PR0Jk2aRF5eHitXroz8Z9uBuOgJzcjIwOVyhb3L2bZtf71OdmdHStM1xeK1NVEbRrdoab9xWcN5p/RjvF4vptm1v/3VhtFPbRiaprUte4QBNZarsYfSoHnPZdOWSLEBbJuEhMyA+7Ozs1m9enXAfZWVlf7XbrebzZs3t3uef/3Xf+Vf//VfuxNq2MVFEnraaaeRk5ODx+MJe905OTlYloVlxe7jtrxer9MhRJTaMLpFQ/tdlHcWb5d+yEfHtnJa9piQ6lAbRj+1Ydfr7Ck24LU7SonCl5S2TdN9tbnMwEloLIuLJHTTpk2MHz+e/Pz8sNZrWRZHjx6lT58+Xe7diAa2beP1eklISMAwIvl3oHPUhtEtWtpvQu4oEowEXi95lzPzJnTpvWrD6Kc2DE1JSUnY6uqcEXD2e/taPUmpg2Zt6hzu7Bn0noj2t/ZOcZGEVlZW4vF4wv7DbxiGv95Y/MXSJJavT20Y3aKp/ca7x7Dx6BfYth3SP9TRcI2hiKY27K5YvcZItWEk7l62yybgE4uCf79vZVDDCD7pbM3qzvmjVPxdsYiIA+YPuYx6u4G/7F3vdCgiEoAXo9NiBSheDLxNE5msk08/svyl2XGdlHgTFz2hIiJOG+EeRGFyHq8eepf5g2c5HY6INOMbE5rQ6XH+4zvq7bSDv1XfXDz2hCoJFRHpIVPyvsaz+97EsqyYHf8oEq06uh1vt/rapalJrZPSEM4fq5SEioj0kNGZQwAoqT9O35Q+zgYjIi00n5jU3gz27mt/ln2VtzZM54geSkJFRHrI0PQiAL6q3K8kVKQXsYEGy/S/bv4M+Mif2aeyoa5HztibKAkVEekhhY2JZ3HVIc7p4lJNIhJJBvV2Yjv77BYJaTj7RJv3i+YmFoSp5uihJFREpIeYpkmCkcD+mp5c/1BEghHcmMzgxne2/872x5VqTKiIiERUipnEkdrjTochIq2ElgS2n5T6k86mF51Mk9fseBERiSi3K5Vj9RVOhyEirXS7J9K2WyxW3ybpbDvbqdX5tU6oiIhEUE6SmwO1pU6HISLN+NYJ7VoS2nat0JPfGHR97Kh6QkNw4MAB9u3bR21t26UFpk6d2t3qRURiSl5yNl9V7Xc6DBFppdMk1G47majDVLOLi9Z74/AhliEnoTt37uT666/nvffeA8C2WzWLYeD1ersXnYhIjClKzaPe6sFnYotIEIyAt8NDfQ58wGM7SUot3Y4P3sKFC9m3bx9PPvkkY8aMISkpKZxxiYjEpEFpfbFtKK0tJy8ly+lwRARfR5rHNrHbjNuMYGLY6mQHa+JvwmLISegHH3zAH//4R2bPnh3OeEREYtrpuaM4UZ/C64e2cM2Q850OR0QAMKj3mnSUdAb7DPiuaJ6H9nHlhv8EvVzISWj//v1JSEgIZywiIjEvNymTDFcK6w99oiRUpBfx2p3kNK16SUNJStv2tJ5kJsTfXPGQR8EuXbqUBx54gGPHjoUzHhGRmDchewhfnjjodBgi0oxlm10qXstoUSw7QPHvN/FandcZb0JOu5966in27dvHkCFDmDhxItnZ2S32G4bBSy+91O0ARURizb8MmMw/SrfzyfHdfC1niNPhiAihrNPZ8njD9m1pO4M+OJqY1AWVlZUMGzbM//2JEyfCEpCISKw7N28UqWY6q4vfVxIq0kuEmgQ2fxxnKI/z7O75o1nISeibb74ZzjhEROKGaZrkJLnZeGyn06GICF1brL5tL2eg5DHo1UT94jEJjb8BCCIivcDUglGU1lVS46l3OhQRgcBjOm3f+qFe28DTWLy22aoYAUrL/Sff287Y0cYSb7qVhG7atImrrrqKwsJCkpOTKSwsZN68eWzatClc8YmIxKR5g88C4KV9HzociYgYtE02WyedJycQdZxIti3NJjPZZoD6faW0ripgbGVlZcybNw+3201RUREPP/xwu9excuVKRo4cSUZGBlOnTuXzzz9vsf+RRx6hf//+ZGRkMGfOHI4fd3Zt0pCT0Lfffpuzzz6bjRs3Mn/+fO677z7mz5/Pxo0bOeecc9iwYUM44xQRiSmFqdmku5J59eA/nQ5FJO7ZQL3XpMFr4mlTDDxWOIvZojRYjee1AveE3nbbbdTV1bF//35effVVli1bxiuvvNLmuA0bNnD77bfzzDPPUFZWxvTp07nyyivxeHxPaHvttde4++67+etf/8rBgwdJSEjglltuieTH2qmQx4QuWrSICy64gDVr1uBynazmV7/6FZdffjmLFi1SIioi0oHTsk9hW5meIy/SG3S4RFKzIZ7hWLQ+0HqhWYmZbbZVVVWxevVqPvroIzIzMxk/fjwLFy7kySef5NJLL21x7EsvvcTcuXM5/fTTAVi8eDHLli3j7bff5sILL+Spp57i29/+tn//0qVLGTNmDOXl5WRlOfP0tpB7Qjdt2sQPf/jDFgkoQEJCAj/84Q/5+OOPux2ciEgsOy13MCV1lVTU1zgdikhcs+3g1wkNan3Q1uNK27wnuHVCd+zYgWVZjBs3zr9t4sSJbN26NcA12NjNstum11u2bAFg69atTJw40b9/+PDhJCUlsX379rB9jl0Vck9oeno6R44cCbjv8OHDpKenhxyUiEg8+Hr/ifzHZ+tZd2AL84ZMcTockbj2X3lzO9x/y5HnGl+17go9mfg19ZKezAXbdps+VjAn6JgqKyvb9FJmZ2cHXBbzsssuY/bs2SxcuJCJEydy33334fF4qK6u9tfVek339urqKSH3hF5xxRX89Kc/5fXXX2+x/fXXX+ff//3fufLKK7sdnIhILMtLcZNsuvj7kR1OhyIineho4pHX30va+slI3ZsBn5GRQUVFRYtt5eXluN3uNsdOnz6dBx98kBtuuIGioiJqamoYM2YMAwYM8NdVXl4eVF09JeQk9KGHHmLIkCFccskl5OTkMHLkSHJycrjkkksYMmQIv/71r8MZp4hITBqY3ofPyg84HYaIdKKjW+yW/9Gcnd+q74oRI0ZgGAbbtm3zb9u8eXOL2/PN3XTTTWzfvp3S0lIWL17M7t27mTx5MgDjxo1j8+bN/mO//PJL6urqGDVqVAifRniEfDs+JyeHd999lzVr1rBhwwaOHz9Obm4u5513HpdffjmmqSVIRUQ6Myl3MKt2b8Tj8bQZYy8iPec7B17scL/d5tZ6oISy1Ta77aL17Z3nlIx8XmBSi23p6enMnTuXu+66i5UrV1JcXMzy5ctZsWJFm/fX1dWxfft2xo8fT0lJCbfeeiuzZ89m5MiRANx4443Mnz+fa6+9luHDh7N48WJmz57t2KQk6EYSCr6nflx55ZW69S4iEqJz8oaz8suP+bLqKKOy+jodjkjcat1LGdyTkTrT/vjR1nvrLStgDY8++igLFy6ksLAQt9vNokWL/DPjMzIyeOWVVzj//POpr69nwYIFfPnll6SmpnLNNdfw4IMP+uuZMWMG99xzD5dffjkVFRXMnDmTJ554IoRrCp8uJaHHjh0jOzsb0zQ5duxYp8fn5uaGHJiISDw4M/8UAD4qLVYSKuIQ2wbLMrBpOako/M8waicpNeBwdeDF6rOzs1m9enXAfZWVlf7Xbre7xe32QG677TZuu+22oKONtC4lofn5+bz77rtMnjyZvLw8jE4Wy/J6vd0KTkQk1qW7knAZJtvKDjodikj8MsBrtR1G2Lo3NJxJqd28Rhv6peeEsfbo0KUk9Mknn+TUU0/1v+4sCRURkc65E1P46kSJ02GIxDEDu50nFjXXlJT6j+xKGmQHusXfbHccPju+S0noggUL/K9vvPHGcMciIhKXClLcHKqp6PxAEYmcLiSBdpsXBE5IO8o6u3NsjAjrVMx33nmHzz77jPPPP98/G0tERDo2OCOXXYdKnQ5DJH7ZgR+l2dU6Wr/sUkepktDgXXvttSQnJ/uXCXjssce49dZbAUhOTmbNmjVcdNFFQdVVWVnJo48+yscff0xqairf/OY3+cY3vhHw2A0bNvDMM89QWlpKdnY2c+bMYebMmaFehoiI40Zn9WP9gc/wWBYuLW8n4ohQbod3lDgaRhc7QuPwdnzIv+02bNjgXyIA4P777+d73/seFRUVzJ07l3vvvTfoun7/+9/T0NDAihUruOeee3j22Wf56KOP2hxXUlLCb37zGxYsWMCf//xn7rjjDpYvX85XX30V6mWIiDju9D6DANh2XIvWizjFto1Oi2W1LMEeG0zdSkK7oKSkhMLCQgC2bdvG3r17uf3228nIyGDBggX885//DKqe2tpa3nnnHa6//nrS0tIYMmQIM2fO5LXXXgt4zvT0dCZPnoxhGIwaNYoBAwawZ8+eUC9DRMRxE3IGYNvwfukup0MRiVu2ZXRasEMrQdcdZ0JOQvv06UNxcTEA69ato7CwkLFjxwK+pZmsdhZdbW3//v3Yts3gwYP924YOHRowsRw5ciT9+/fn3XffxbIsPv30Uw4fPuw/r4hINEpxuUglnfcP7Xc6FJG4ZdvtleB7MoMvbc9zoDL+JieGPCb00ksv5ac//SmffPIJTz31FNdff71/39atWxk6dGhQ9dTW1pKWltZiW3p6OjU1NW2OTUhIYPr06Tz88MPU1dVhGAbf//73KSgoaHFcaWkppaW+Qf4lJSXU19cDBJ0YB6upvnDX21vYto1lWViWFbPLcakNo1sstV/fVDfbyg61uRa1YfRTG0YH29tB24S92ZpV2DhwNCM5Ndwn6fVCTkJ//etf4/V6WbduHZdddlmLMaAvvPACs2bNCqqelJSUNglndXU1qaltG2PTpk2sWLGCe++9lxEjRrBv3z7uu+8+cnJyOPPMM/3HPffcczz++OP+76dNmwbAoUOHunSNwTpy5EhE6pWeozaMbrHQfuPT83mh4jMOHDiAGYeTk2KhDeNd1LdhR7fDIzFzvdUU+gxXcgRO0ruFnIRmZWXx5JNPBty3YcOGoOvp378/AHv27GHQIN/g/F27dvlfN7d7925Gjx7NqFGjABg0aBBnnHEGH330UYskdM6cOf7Es6SkhFdeeQWAfv36BR1XMCzL4siRIxQUFMTkPxq2bePxeHC5XDH51zuoDaNdLLXfNYln8PzBz/jKrOH8fqf6t6sNo5/aMDSR6jhqVxCL1QfU2ds6S2DtVl/jSFjXCQ1FSkoK5557LitXruSOO+6gpKSE9evXc/vtt7c5dvjw4axevZovvviC4cOHs2/fPj788EOuuuqqFsfl5eWRl5cHQGZmJklJSQAR+wVnmmZM/vK0bdt/bbH4i7M5tWF0i4X2m5Q/CNMwWLvnM6YVDfdvVxtGP7VhlAg1CWy9YH046okTXUpCJ0yYwP/8z/8wbtw4xo8f3+kP05YtW4Kq9+abb+aRRx7hxhtvJDU1lTlz5jBp0iQA5s2bx913383YsWMZN24c119/PQ899BDHjx8nPT2dCy64gBkzZnTlMkREeqXTcwbyxn7NkBfpcXY31+ns7MlJwVQRh7Pju5SETpo0ifT0dP/rcP1Fl5GRwaJFiwLuW7VqVYvvL7300hbrk4qIxIrrhk/ih++8xCvF27l08CinwxGJLyHMqzICZZw22KF0a0b3vK6QdCkJbXo6EsBTTz0V7lhEROLaFUPGsPiDdSz/7AMloSI9LZQnJrW7J5ROOvWEioiIgy4sHMZfiz9zOgyR+GO38xoIb4LYqvLGqk/U1YXxHNEh5BHE3/nOd7j66qsD7rvmmmu46aabQg5KRCReXTZkFF7b5tPjh50ORSRu2DbgNU4Wq3UhjKVV3Y3nrKxp6NmL7gVCTkJfe+01Zs+eHXDfnDlzePXVV0MOSkQkXl1QeAoAL+/e7nAkIvHDMMCwgix2GEqAeovS3U5/DD0u5NvxJSUl5OfnB9zXp08fDh/WX/EiIl2V5HLhTkzm/cN7nQ5FJL4EOyY01Jnwna4XGn9jQkPuCe3fvz/vv/9+wH3vv/8+hYWFIQclIhLPTsnM5cuKo06HIRJXQunRbHOr3W5WWu0Lqr44E3ISOn/+fJYuXdpmCaXVq1ezbNkyrr322m4HJyISj84sGEBZXU3UP4tbJKrYXS8Bb7F7G0vrBDOYEmdCTkJ/8YtfcMEFF3DNNdfgdrsZMWIEbreba665hmnTpnH33XeHM04RkbhxycDhpJlJvHuw2OlQROJHV5PQQL2grXtDu1riTMhjQpOSklizZg2vvfYaf/vb3zh27Bh9+vTh4osv5qKLLgpnjCIicWVS/gCq6z38bd9Ozika4nQ4IrGvsSezazoZw2l3LavU7fgQzJgxgwceeIA//OEP3H///UpARUS6yTRNspJT+OjIAadDEYkfttHFQielq/UFTmrLysqYN28ebreboqIiHn744XYvYdWqVYwZMwa3283w4cN54okn/Pt2796NYRhkZGT4yy233BK2jy8U3V6sft26dWzcuJG9e/eyePFiBg0axN///neGDRtGUVFROGIUEYk7QzNz2FV+3OkwROKG4fAt8f1l5QG333bbbdTV1bF//36Ki4u56KKLGDlyZJtHmO/Zs4frrruO5557jq9//eu8//77XHzxxZx++umcdtpp/uNKS0tJSUmJ6LUEK+Se0JKSEs4991wuv/xynnjiCZ544glKS0sBePLJJ1m6dGnYghQRiTen5/envL5Wk5NEeoqXMC9K34XihX6pGW1CqqqqYvXq1SxdupTMzEzGjx/PwoULefLJJ9scu3fvXrKzs7niiiswDIOzzjqL0aNHs3Xr1rB8PJEQchL6ox/9iJKSErZu3cqXX36J3Wzsw8UXX8zf/va3sAQoIhKPZgwahg18XKJb8iI9ISyL0IdaAFdCQpuYduzYgWVZjBs3zr9t4sSJARPLKVOmMHLkSF544QUsy2LDhg3s2rWLqVOntjiu6U71Nddcw969zq5HHPLt+LVr1/L4448zevRovF5vi30DBw5k37593Q5ORCReTe47gBTDxdv7djOxTz+nwxGJeX+eMa3D/fNf/d929hgtvrQQYHLSM5d0fJ7mKisrycrKarEtOzubEydOtDnW5XKxYMECbrjhBmpqajAMg8cee4zBgwcDkJeXx8aNG5k4cSJlZWX89Kc/5YorruCjjz4iIUAC3BNC7gn1eDykp6cH3Hf8+HGSkpJCDkpEJN6ZpkkSLv6xX09OEukV2p2AZPuK1exrU+nmMkwZGRlUVFS02FZeXo7b3fYRn+vXr+fOO+9k/fr11NfXs3nzZpYsWcLatWv9dZ1xxhm4XC7y8vL4r//6Lz799FO++OKLLn4Q4RNyEjplypSAYxIA/vznP3PuueeGHJSIiMCgzGx2lh9zOgyROND5IzMN2whcrGbF2/i1vWO7+GjOESNGYBgG27Zt82/bvHlzi9vzTbZs2cK5557L2WefjWmajB07lssuu4xXXnkl8PUYBoZhtBhO2dNCvh2/ZMkSLrzwQqZOncrcuXMxDIMXX3yR+++/n7Vr17Jhw4ZwxikiEncm5hfy6dEjTochEheuXfv3Lr+n3ZTSbr/Ts73zDMvPZe2kSS22paenM3fuXO666y5WrlxJcXExy5cvZ8WKFW3eP3nyZJYtW8bGjRs588wz+fzzz3n55Zf52c9+BvgeqZ6ZmcnIkSOpqKjgJz/5CcOGDWPEiBFBXm34hdwTevbZZ/Pmm29iGAb/9m//hm3bLF26lIMHD/K3v/2N008/PZxxiojEnQsHnYJl23x6tMTpUERiXruThqz2S0cz3jt6X1eeHf/oo4+SmJhIYWEhM2bMYNGiRf7lmTIyMnj77bcBmDp1KsuWLeNb3/oWbrebGTNmMH/+fL773e8CsHPnTi6//HLcbjejRo3i2LFjrFmzxrHxoBBiT2h9fT1r1qxh4sSJ/O///i81NTUcP36c7Oxs0tLSwh2jiEhcOr+/b0LB3/Z8xYS+hQ5HIxLDbNuXPAbQtRvoQZzK/5+WSiuqAx6fnZ3N6tWrA+6rrKxs8f0tt9zS7gL08+fPZ/78+V0JNeJC6glNSkri2muvZc+ePQCkpqZSVFSkBFREJIySXC7SXYlsPLzf6VBEYpyB4SVgCff6oQF7Rr2QEIeP7Qx5TOioUaP8SaiIiETGAHcWX2lykkjEdfjs9ub7wtE1GuBcuXHYkRfymND777+fJUuW8OGHH4YzHhERaWZMVgEnTjQ4HYZIzAt6Yfkgx3eG8p54E3JP6E9+8hOOHj3KlClT6NOnD3379sUwTv55YBgGn3zySViCFBGJV6dk51Lr9WBZlqMTCERiXqhJYDA9qMH0nioJDd4ZZ5wRzjhERCSAMXn5AOwsO87wPnkORyMSmwy62RPZWbIZRN3qCQ3Cp59+ymOPPUZpaSlFRUXMnTuXGTNmRCI2EZG4N7Gfb1b8liOHlISKRFI7s+OD0ZR7dmvddyWhHduwYQMXX3wxDQ0N5Ofnc/ToUZYvX86jjz7a7pIAIiISutzUNAzgs1KtFSoSSZ32RAbTm9mNA+KxJ7RLE5PuvvtuRo0axe7duzl06BBHjx7lX/7lX1i8eHGk4hMRiXspLhe7y8qcDkMktrV+xnvr5ZXafXZ8F0oHddY3eHvgInuXLvWE/vOf/+Sxxx5j4MCBAGRmZvLQQw9xyimnsHfvXv92EREJn8zkZPZVVjgdhkjssm3fE5DAmdviBhwrD7xYfSzrUk9oaWkpAwYMaLGtKfEsLS0NX1QiIuJXkJpOaXX8/QMl0nOaLVYfwuM2QyqtFqsvzHI7/SH0uC5PTGq+DJOIiERe/8xMPj9+1OkwRGJaMGMyuzXxqPV5jHa2x5EuJ6EXXnghptm2A/X8889vsd0wDMrLy7sXnYiIMCw7lzd37cayrIC/f0UkDIKYHd/liUfBPoUpyPPHmi4loXfffXek4hARkXaMyc2nodZLcXk5Q3NynA5HJCaFpSeyG3WoJ7QTSkJFRHre6YW+tUI/PnBASahIRNih3Wu3m780MJpv0OjFTum+johIL5ebloZpwLbDR5wORSRmdTghqdkEohal2T7TsoM+tr0Sb0J+bKeIiPScVFciO48dczoMkZgV8HZ4OG+RN68rQC+pbseLiEivlJ2ayv4KrRUqEhlGuxODInFXPdCd/8NHT0TgTL2bklARkShQ5HazQ+sxi0SGbWP04AOLAiW2mclJPRdALxEXSWhGRgYulws7HAt8NWPbtr/ecNfdGzRdUyxeWxO1YXSL9faDk203ODubjw8ciLnrjKc2jOXri0Qbulw9m6J0aUxmd7pH2/mI0pKSu1FpdIqLJPS0004jJycHj8cT9rpzcnKwLAvLit0RxV5vbD/PVm0Y3eKh/QBG5ObitW0qqqtJS4qtHpN4aUP9HHa9zp7UpTGZrY/tKCkNsl6NCY1RmzZtYvz48eTn54e1XsuyOHr0KH369InJBaRt28br9ZKQkBCzT8pSG0a3WG8/ONmGp/UvAhv+eaSEc4cMdjqssImnNtTPYdeUlJSEra5gdGd2uj9/NGiTdAbb4kpCY1RlZSUejyfsP/yGYfjrjcVfLE1i+frUhtEtXtoPYHxBAQl1Bu/s3MN5Q4c4HU7YxFMbxuo1RqoNI3H3skPdGEpgdDLzPdLnj1ZxkYSKiEQ7l8tFdmoKHxTvczoUkZgU2u34ABmn3epFkElpPPaExua9DxGRGDQsrw+7jh13OgyR2GQFXwy7qdgdlMbEsgv1BlJWVsa8efNwu90UFRXx8MMPt3sJq1atYsyYMbjdboYPH84TTzzRYv+zzz7LqaeeSlpaGhdddBHFxcUhfljhoSRURCRKnDN0EJV19VTX1zsdikjMOZlYBvFko64krJ2VxnNWVtUGjOu2226jrq6O/fv38+qrr7Js2TJeeeWVNsft2bOH6667jl/+8pdUVFSwcuVKbr/9djZt2gTAZ599xo033sjvfvc7jh49yoQJE5g3b174P8guUBIqIhIlvj5mJACvf/6Vw5GIxBgbDE/XHrEZttJ4zrrqhjZhVVVVsXr1apYuXUpmZibjx49n4cKFPPnkk22O3bt3L9nZ2VxxxRUYhsFZZ53F6NGj2bp1KwBPP/00s2bNYubMmaSmpnLffffxySefsG3btoh/vO1REioiEiWG9MkhPzWNTXsPOh2KSEwxaLy1bgVROrwFH2QJUG9+dkabuHbs2IFlWYwbN86/beLEif7EsrkpU6YwcuRIXnjhBSzLYsOGDezatYupU6cCsHXrViZOnOg/3u12c+qppwasq6doYpKISBRp8Fh8frhnl64RiQf/92cXdrj/9iVvBt4R7Gz4xolHv13c8Xmaq6ysJCsrq8W27OxsTpxo+4hPl8vFggULuOGGG6ipqcEwDB577DEGDx7srys7OzuounqKekJFRKJITloKRyqrnA5DJO4E1avZYlxp4B7UrsjIyKCioqLFtvLyctxud5tj169fz5133sn69eupr69n8+bNLFmyhLVr1/rrKi8vD6qunqIkVEQkihS4MyirDjyBQUQiJ7jxnfbJ0t6kpi4YMWIEhmG0GLe5efPmFrfnm2zZsoVzzz2Xs88+G9M0GTt2LJdddpl/EtO4cePYvHmz//jKykq++uqrgHX1FN2OFxGJIgNzsvho7wGnwxCJOXfc80bX3tCsbODZ8wAAH+dJREFUV7P5HfkWfZ0BFu9v7zxDBvbhT5MmtdiWnp7O3Llzueuuu1i5ciXFxcUsX76cFStWtHn/5MmTWbZsGRs3buTMM8/k888/5+WXX+ZnP/sZANdddx1nnnkmr7/+Oueddx533303EyZMYOzYsUFfcripJ1REJIqc2icXr2XhifHnrIv0tKAmJTUrpo2/NL8N32JbV+ps51b9o48+SmJiIoWFhcyYMYNFixZx6aWXAr5b7G+//TYAU6dOZdmyZXzrW9/C7XYzY8YM5s+fz3e/+10ARo8ezYoVK7jpppvIzc1l06ZNrFq1qmc+3HaoJ1REJIqM6pcPwJclRxnVN9/haERiR8AnFnXjKUadzldqfUA758rOzmb16tUB91VWVrb4/pZbbuGWW25p95RXXXUVV111VWeR9RgloSIiUWRsYV8Ath08oiRUJJystllgqI+BD0brjs/DB8sieLbeSUmoiEgUyU5LwQC+OFLqdCgiscMGw9NJt2eYM1Kj8bxNCvo5N0vdKUpCRUSiTEqii+Jj8ddrIhJJnS6f1Hp3KElpB6dIMCPZ79o7KQkVEYky/d2ZlFfWOB2GSEwxAtyO70ibowPlkHbnh4R6/ligJFREJMr0TU7nn3sPOR2GSGzp4kLybRLKbueQ8ZeEaokmEZEoc9awQVTXN1BVW+90KCKxwwq12GDZ2I1ffSXEuuKMklARkShz+cSRALy29QuHIxGJHe0+lrOjx3RaJ5+MZLZ4MlLgR3Z2VuKNklARkSjTPyeLxAST//18l9OhiMSM4BaVt4JPVlskrlZQ9ccbjQkVEYlChdlutu0/7HQYIrHBtk8Oyey0RzLUZLGD9xkGx0or298fo9QTKiIShS4ccQrHjlVRW+9xOhSRGGBgNFgYHgvDa/d88Vhx2SuoJFREJArNP/c06jxenn77Y6dDEYkBNtgWWB0Xu80EpFBLY53exmJZZGWlOv0h9DgloSIiUWhgnyzy3Ok89/5Wp0MRiQnBjNk0LQvTshrHeFrBjxFt/Z7WE5aaktM4oyRURCRKXXraCCpr6qiu11JNIt0Waq+mt3mPZoBtzbd3VuKMklARkSg1/+yJlFfV8saWr5wORSSqGdC92+vexq+eLiadzUv85aBKQkVEotXA/GxcCSZvbVMSKtItNl1POpsVw/JNMGqzr6uJaJyJx8lYIiIxozDbzdY9WqpJpLs6XSw+iMXkO32Up9H+0+O1WL2IiESV8YP7caQ8/tYXFAm7dsZ62o2l+zPibV897YwVra9tcPoT6HFKQkVEotiFY4fhsSx2Hj7qdCgiUcvGxvBavuLx+krj92ZjMcJQ2tTT7FwVRyqc/hh6nJJQEZEoduH4UwBY+/F2hyMRiV4GBni9vtLhWqHd7w1ts1aoZYHHS36/TKc/hh6nMaEiIlEsyeViQHYmO/erJ1SkW4KaGNTqmPaHeHbw1qYXrd6siUkiIhJtEklgx95Sp8MQiWKNPZPd1XriUYeTjVrtC8f5o4ySUBGRKFeQnc72vSVOhyES3cIxO707dcRfR6jGhIqIRLui3Cyq6+JvZq1I2Nh0Mha0ndI0jjRQ6WpdduCe0LKyMubNm4fb7aaoqIiHH3444HH//d//TUZGhr+kp6djGAbPP/88AG+99RamabY4ZtmyZZH6RIOinlARkSg3pG8OXsvC47FwudS3IBKSYG6Hd6m3sovjR9s5/2233UZdXR379///7d15cNT1/cfx127uTUiy5GgICUlAOQTGg3CLoFIGmVZqQzk8ALUMtqNYmOpQBWXw1ymjjDqt6DA4phZBDnHGozIS0WAbU+SyKkIVzAHhyAXCZrM5dr+/PyhbYsK9u989no+ZzGS/+93Pvj+84ctrv9fWqKqqSrfffrv69eunO+64o8N699xzj+655x7v482bN2v69OmaOHGid1lmZqaOHTt2OZPwq6AIoQ6HQytWrNDu3buVkJCgu+66S5MnT+60XmlpqV5++WXvY8Mw1NLSooULF2rUqFGBLBkAgka/nhmSpO+PN6jvf38HcJm6vDDIh8fIOwzVRSLt4v2bmpq0ceNG7dq1S8nJyRo8eLDmzJmj1157rVMI/bHXXntN06ZNk81mu7q6/SgoQujKlSvV1tam4uJi1dbWavHixcrJydGQIUM6rDdu3DiNGzfO+3jXrl167rnnOq0HAJFkQK9MSdK+Q7WEUOAKGNKZw+EBOy+z8xvVHe58h4tvv/1WHo9HgwYN8i674YYbvIfYz6ehoUHvvvuuSktLOy3PyspSXFycJk6cqD/96U/q3r37lU3BB0wPoS6XS2VlZXrhhRdks9mUn5+vCRMmqKSk5KLhsqSkRDfffLPi4uICVC0ABB97kk0WSd8f5TZNwJWwSPq/D359wXUWTVjpk/f6vy1zL3ldh8OhlJSUDstSU1N1+vTpC75uzZo16tOnj0aOHOld1r9/f33xxRcaMGCAampq9NBDD2nWrFl67733Lm8CPmR6CK2pqZFhGMrLy/MuKygoUHl5+QVfd+rUKX3++eddnlRbX1+v+voztyupq6tTa2urJMnj49sfnB3P1+MGC8Mw5PF45PF4ZLnA992GMnoY2sK9f9Kl9zA2JlpVtSdC7s+CHoa+8OjhxXeBGm73/x4EqI9JSUk6darjNyn98MMP6tat2wVfV1xcrPvvv7/DsqysLGVlZUmScnNz9dJLL+maa66R0+k07ZC96SHU5XJ1mnxiYqKam5sv+Lpt27apR48e6t+/f6fnNm3apFWrVnkfjx07VpL8djJubW2tX8ZF4NDD0Eb/JFtstA7XnQiqiw4uBz0MfSHdw0s5DH+hkH2hUHoVt23q27evLBaL9u7dq4EDB0qSvvjiiw6H539sz549+vrrr3XfffddcGyr1SrDMGT44tZUV8j0EBofH98pcDqdTiUkJFzwdR999JFuv/32Lp8rKiryBs+6ujpt3rxZkryfAHzF4/GotrZWmZmZslrD74pUwzDU3t6u6OjosPz0LtHDUBfu/ZMuvYfdu9nU5Gr1+XbO3+hh6PNXDwP5gcqQ9MTYP1/dIBbLmZ+zoe484e5879Orf7ZW7ex4GmJiYqKmTJmiJ598UqtXr1ZVVZVeffVVFRcXn7eM4uJi3XHHHZ22BZ988okKCgqUl5en48ePa968eZowYYISExMvY5K+ZXoI7dmzpySpurpavXr1kiRVVFR4f+/KwYMHVV1drVtvvbXL59PT05Weni5JSk5OVmxsrCT5bQNntVrDcuNpGIZ3buG44TwXPQxt4do/6dJ7mJ2YpH8fPRKyfw70MPSFfA/NPp3gPKF1xYoVmjNnjnr06KFu3bpp4cKF3ivjk5KStHnzZo0ZM0aS1NraqrVr1+rVV1/tNM6ePXs0c+ZMNTQ0yG63a+LEiVq2bJn/5nMJTA+h8fHxGj16tFavXq358+errq5OW7Zs0aOPPnre12zdulVDhgyR3W4PYKUAELwyU7uppdV98RUBdMkwO4Se5/1TU1O1cePGLp9zOBwdHsfGxnqvifmxBQsWaMGCBVdXo48FxUeWuXPnKioqSrNnz9ZTTz2loqIi75XxU6dO1d69e73rtrW1adu2bRo/frxZ5QJA0MlK6ya32f+JAqHsSr4xydc/Ecb0PaHSmd3JCxcu7PK5DRs2dHgcExOjNWvWBKIsAAgZuZlnjgzVn3QoPTXJ5GqAEHROCAzkpTpnT9BobW4J4LsGh6AIoQCAq5OfdSaEVhxtJIQClykp1aYxU0boxLET6t7DrriE2IC9d9MPTjUcPaGhE28M2HsGC0IoAISB/B5nQmjlsUYNHXD+CzsBdGa1WrV43Xyzy4g4QXFOKADg6sTHxcpikY7Unbr4ygAQBAihABAmYqKidKyREAogNBBCASBMxMfFqOGHJrPLAIBLQggFgDCRlBCrxtMX/spjAAgWhFAACBMpiQk63eQyuwwAuCSEUAAIE91TbHK2tJldBgBcEkIoAISJn6QmqbWVEAogNBBCASBMDMjOUNQpQ05Xq9mlAMBFEUIBIEzcdF2uJOnzf1eZXAkAXBwhFADCRF7PNFks0p5vDpldCgBcFCEUAMJIoi1O31bUml0GAFwUIRQAwshP0rqp5vhJs8sAgIsihAJAGOmdm66T3LAeQAgghAJAGBncL1vt7R45nNy0HkBwI4QCQBgZeUO+JOnzf1ebWwgAXAQhFADCSM8su9JsCfp632GzSwGACyKEAkCYsRqG9rAnFECQI4QCQJjpnZehI8e4Qh5AcCOEAkCYGXp9nppdbXI6+fpOAMGLEAoAYebWm/tLkraV/8fkSgDg/AihABBmevwkRdHRVpXv/N7sUgDgvAihABCG8jPtqjzA13cCCF6EUAAIQz/JTNbx46fMLgMAzosQCgBhaPDAHLW0tsvl4uIkAMGJEAoAYWjk8D6SpM93VZpbCACcByEUAMJQQV6GLBaLdu2uMLsUAOgSIRQAwlS3bvH6z3fHzC4DALpECAWAMNUnL13NDs4JBRCcCKEAEKZyMlN1pKrB7DIAoEuEUAAIU9ddly2Px9DJk06zSwGATgihABCmbhySL0n6Yk+lqXUAQFcIoQAQprKyUmWxSF9/XWN2KQDQCSEUAMKYzRaniu/5+k4AwYcQCgBhrHv3JB09etLsMgCgk2izCwiEpKQkRUdHyzAMn45rGIZ3XF+PHQzOzikc53YWPQxt4d4/6ep72DMnVXt2VwXtnw89DH3+6mF0dERElIgWER2+8cYbZbfb1d7e7vOx7Xa7PB6PPB6Pz8cOFm632+wS/IoehrZI6J905T3s3zdL3+yulsvVqujo4Dz4RQ9Dnz96aLfbfTYWglNEhNA9e/Zo8ODBysjI8Om4Ho9HDQ0NSktLk9UanBv3q2EYhtxut6KiomSxWMwuxy/oYWgL9/5JV9/DwqG9tXrlNn3z5WHdNKy3Hyq8OvQw9Pmrh3V1dT4bC8EpIkKow+FQe3u7z//xWywW77jhuGE5K5znRw9DW6T0T7ryHvYbkC2LRdrxr4MaMryPHyq7OvQw9Pmrh/44eongEp4fOwEAkiSr1arEpHjt38ttmgAEF0IoAIS5Hj3tqjnUaHYZANABIRQAwly/67J16lSz2WUAQAeEUAAIczcNzZc8HlVy03oAQYQQCgBh7qahvSWXWzv/+Z3ZpQCAFyEUAMKcLTFeMbFR+ubfh8wuBQC8CKEAEAHs3ZNUXcF9FwEED0IoAESA7F7dVX/8lNllAIAXIRQAIkDf63qq2dka9l+NCSB0EEIBIALc+N+v7Dyw/6jJlQDAGYRQAIgAg4bkSYahL7Z/b3YpACCJEAoAESE2NlpxMvT914fNLgUAJBFCASBiJCTEqvbISbPLAABJhFAAiBjJdpsa606bXQYASCKEAkDE6J6RLAffIQ8gSBBCASBCZOXY5WpuNbsMAJBECAWAiNEzL13udg/3CgUQFAihABAh8vtlSZIOfc/XdwIwHyEUACJE30E5kqQD3xwxuRIAIIQCQMRITUuSLNKhg7VmlwIAhFAAiCQxMdGqqao3uwwAIIQCQCTJzOymphMOs8sAAEIoAESSGMOj6r18dScA8xFCASCC9MhL0+mTTrPLAABCKABEkrz+PdTqauNeoQBMRwgFgAjS9/o8SdJhrpAHYDJCKABEkIFDe0uS9n5+0ORKAEQ6QigARJBke6KsVosOfMXFSQDMRQgFgAgTnxinwwePm10GgAhHCAWACJOa3k21NSfMLgNAhCOEAkCEye+TIblcZpcBIMIRQgEgwqR2T9TxCq6OB2AuQigARJiCgTnyeAw5HewNBWAeQigARJhrbzhzr9Dv9lSYXAmASEYIBYAIUzC4lyTpuz1VJlcCIJJFm12AJDkcDq1YsUK7d+9WQkKC7rrrLk2ePLnLdVtbW/X666/r008/VWtrq7Kzs/XHP/5RNpstwFUDQGiKjY1WVLRV1f85YnYpACJYUITQlStXqq2tTcXFxaqtrdXixYuVk5OjIUOGdFr35Zdflsvl0p///GelpKSoqqpKMTExJlQNAKErISleR7/n4iQA5jH9cLzL5VJZWZnuu+8+2Ww25efna8KECSopKem07uHDh1VeXq6HH35YdrtdVqtVBQUFhFAAuEzJaUmqP3rS7DIARDDTQ2hNTY0Mw1BeXp53WUFBgaqrqzut+9133ykzM1Pr16/Xvffeq9/+9rfasmVLIMsFgLCQkd1dpxodZpcBIIKZfjje5XJ1Op8zMTFRzc3Nndatq6tTVVWVhg0bpuLiYlVWVuqpp55Sdna2Bg0a5F2vvr5e9fX13te0trZKkjwej09rPzuer8cNFoZhyOPxyOPxyGKxmF2OX9DD0Bbu/ZP818OsgnR99dm3pv/Z0cPQFwk9hH+YHkLj4+M7BU6n06mEhIRO68bFxclqtWr69OmKiYnRtddeq9GjR2vHjh0dQuimTZu0atUq7+OxY8dKko4dO+aXOdTWcl5VqKOHoY3+Xb4xU4co//psv20XLxc9DH30EJfL9BDas2dPSVJ1dbV69Tpz25CKigrv7+fKz8+/pDGLioq8wbOurk6bN2+WJGVlZfmg4v/xeDyqra1VZmamrFbTz2zwOcMw1N7erujo6LD89C7Rw1AX7v2T/NfDrKws3TR6sM/Gu1L0MPT5q4fB8gEJ/mN6CI2Pj9fo0aO1evVqzZ8/X3V1ddqyZYseffTRTusOGjRIWVlZ2rhxo6ZNm6bKykqVlZXpySef7LBeenq60tPTJUnJycmKjY2VJL9t4KxWa1huPA3D8M4tHDec56KHoS1c+yfRw3BAD4GuBcXflrlz5yoqKkqzZ8/WU089paKiIu/tmaZOnaq9e/dKkqKiorRo0SJ9+eWXmj59up599lk9+OCDHQ7FAwAAIPiZvidUkpKSkrRw4cIun9uwYUOHxzk5OVq2bFkgygIAAICfBMWeUAAAAEQWQigAAAACjhAKAACAgCOEAgAAIOAIoQAAAAg4QigAAAACjhAKAACAgCOEAgAAIOAIoQAAAAg4QigAAAACjhAKAACAgAuK744PhPr6er+NfezYMb+Nbabo6GjZ7XbV1dWpvb3d7HL8ih6GtnDtn0QPwwE9vDL+/H8bwSHsQ6jNZlNMTIzefvttn4/tcrlUVVWlvLw8xcfH+3x8+B89DG30L/TRw9Dnzx7GxMTIZrP5dEwED4thGIbZRfjbyZMn5XQ6fT7uwYMHNX/+fL3wwgvq06ePz8eH/9HD0Eb/Qh89DH3+7KHNZlNqaqpPx0TwCPs9oZKUmprql7/Ep06dkiRlZGQoOzvb5+PD/+hhaKN/oY8ehj56iCvFhUkAAAAIuKglS5YsMbuIUJaQkKDCwkLOWQlh9DC00b/QRw9DHz3ElYiIc0IBAAAQXDgcDwAAgIAjhAIAACDgIuLq+MvhcDi0YsUK7d69WwkJCbrrrrs0efLkLtf95JNPtGHDBjU0NKh37956+OGHlZOT432+trZWq1at0pdffqmoqCgNHTpU8+fPD9RUIpavevjyyy+rtLTUu67b7VZ7e7tWr16t5OTkQEwlYvmqh4ZhaM2aNdq6daucTqdyc3P14IMPasCAAYGcTsTxVf/a29v1xhtvaNu2bWpubtawYcP0m9/8RgkJCYGcDs7j/fff18cff6zKykqNHDlSjz32mNklIdQY6GD58uXGM888YzQ1NRkVFRXGvffea+zcubPTenv37jVmzJhhHDhwwGhvbzfWrFljPPTQQ0Z7e7thGIbR1tZmzJ0713jrrbcMp9NptLa2GgcOHAj0dCKSr3r4Y8XFxcaiRYv8XT4M3/WwtLTUmDlzplFTU2O43W7jvffeM+6+++7z9hi+4av+rV+/3liwYIHR2NhoNDU1GUuWLDFefPHFQE8H51FWVmaUl5cbr7zyivHss8+aXQ5CEIfjz+FyuVRWVqb77rtPNptN+fn5mjBhgkpKSjqtu337do0aNUp9+vRRVFSUpk2bpuPHj2vv3r2SpI8//ljJyckqKipSQkKCYmJiuBFzAPiyh+dyu90qLS3V+PHjAzGNiObLHh4/flzXXXedsrOzZbVaNX78eJ0+fVqNjY2BnlbE8GX//vWvf+nOO++U3W6XzWZTUVGR/vGPf6ilpSXQ00IXRo0apREjRnBkCFeMEHqOmpoaGYahvLw877KCggJVV1d3Wtf40U0Fzj6urKyUJO3fv19ZWVlaunSp7rnnHj3++OPav3+//4qHJN/28Fy7d+9WS0uLRowY4duC0Ykve3jLLbfoyJEjOnTokNxutz788EPl5eUpLS3NfxOIcL7+N3juOoZhqLW1VUeOHPFx1QDMQAg9h8vl6nSPs8TERDU3N3dad8iQISorK9O3336rtrY2rVu3Tm632/sJvb6+Xp9++qkmTpyo119/XePHj9czzzwjh8MRkLlEKl/28FwlJSUaM2aM4uLi/FY7zvBlD9PS0jRo0CA9/PDDKioq0saNGzVv3jxZrWz6/MWX/SssLNS7776rhoYGORwOvfXWW5LEnlAgTLAlPkd8fHynDaXT6ezyJPjrr79es2bN0gsvvKDZs2erpaVFubm5Sk9PlyTFxcWpf//+GjZsmKKjozVhwgQlJSVp3759AZlLpPJlD8/64YcftHPnTv30pz/1a+04w5c9fPPNN7Vv3z6tWrVKmzZt0iOPPKKlS5eqoaEhIHOJRL7s35QpUzRgwAA99thjmjdvngoLCyWJPdlAmODq+HP07NlTklRdXa1evXpJkioqKry//9jEiRM1ceJESWeuBv3www917bXXSpLy8/P11VdfBaBqnMuXPTyrtLRU2dnZnZbDP3zZw8rKSo0ZM0aZmZmSpOHDh+tvf/ub9u/fr9GjR/t7KhHJl/2LjY3VnDlzNGfOHEnSrl27lJ6eTggFwgR7Qs8RHx+v0aNHa/Xq1XI6naqqqtKWLVu63APW1tamiooKeTwenThxQn/5y180cuRI761Fbr31Vh04cEC7du2S2+3W1q1b1dTUxK1h/MyXPTzro48+4oKkAPJlD/v27auysjI1NDTIMAzt3LlTx48f73C+InzLl/1raGhQXV2dDMNQZWWlXnvtNc2YMYPTKYKE2+1Wa2urPB6PPB6PWltb1d7ebnZZCCF8beePOBwOvfTSS9772/3yl7/03t9u6tSpevrppzVw4EA5nU794Q9/0NGjRxUbG6sxY8Zo9uzZHc4Z3L59u/7617+qsbFRubm5+vWvf63+/fubNbWI4cseHjhwQI8//riKi4uVkpJi1pQijq962NbWpuLiYn322Wdqbm5WRkaGfvWrX2ns2LFmTi/s+ap/33zzjZ5//nmdPHlSdrtdkydP1s9+9jMzp4ZzrF27VuvWreuw7LbbbtPvfvc7kypCqCGEAgAAIOA4pgEAAICAI4QCAAAg4AihAAAACDhCKAAAAAKOEAoAAICAI4QCAAAg4AihAAAACDhCKAAAAAKOEAoAAICAI4QC8JklS5bIYrF4f9LS0nTzzTfrgw8+MKWe0tJSWSwW7dy507vMYrFo+fLlptQDAPgfQigAn0pISFB5ebnKy8u1atUquVwu/fznP9dnn31mdmkAgCASbXYBAMKL1WrViBEjvI+HDx+u3Nxcvf766xo1apSJlQEAggl7QgH4Vc+ePZWRkaHq6mrvsvLyct12221KTExUSkqK7r77btXW1nZ4XUtLixYtWqTevXsrLi5OOTk5mj17docx7rzzTmVnZysxMVE33HCDVq9eHahpAQCuEntCAfiVw+FQY2OjCgoKJJ0Jj+PGjdOkSZO0fv16NTU1adGiRZo8ebLKy8u9rysqKtLHH3+sJ554QiNGjFBdXZ3efvtt7/NVVVUaPXq0HnroIcXHx6usrEwPPvigPB6PZs2aFfB5AgAuDyEUgM+1t7dLko4cOaLHH39c3bp106OPPipJWrhwoQoLC/X222/LYrFIkgYPHqxBgwbpgw8+0KRJk1RSUqK///3vWrt2rWbMmOEd99zfp0+f7v3dMAzdcsstOnz4sFauXEkIBYAQQAgF4FNNTU2KiYnxPo6KitI777yjfv36yel0qqysTMuXL5fb7fau07dvX+Xm5mrHjh2aNGmStm7dKpvN1iFo/tiJEyf09NNP65133lFNTY13vLS0NP9NDgDgM5wTCsCnEhIStGPHDm3fvl1vvPGGevTooZkzZ+ro0aM6ceKE3G635s+fr5iYmA4/1dXVOnTokCSpoaFBPXr08O4p7crs2bP15ptv6ve//722bNmiHTt26IEHHpDL5QrUVAEAV4E9oQB8ymq1qrCwUJI0bNgw9evXT8OHD9fSpUu1fPlyWSwWPfHEE/rFL37R6bXp6emSzuzNPHr0qAzD6DKIulwuvf/++3r++ef1yCOPeJd7PB4/zQoA4GvsCQXgV4WFhZoxY4aKi4t1+vRpjRw5Uvv27VNhYWGnn/z8fEnS+PHj5XQ6tWHDhi7HbGlpkcfjUWxsrHfZ6dOn9e677wZiSgAAH2BPKAC/W7x4sdatW6cXX3xRzz33nG677TZNmzZN06dPl91u1+HDh1VSUqL7779f48aN0/jx4zVp0iQ98MADOnjwoIYPH67Gxka99dZbWr9+vVJSUjR06FAtW7ZMGRkZio6O1rJly5SSktLpVk8AgODEnlAAftevXz9Nnz5dr7zyigYOHKh//vOfcjgcuv/++zVp0iQtXbpUNptN11xzjfc1mzZt0rx587Ry5UrdcccdWrBggZKSkrzPr127Vtdcc41mzZqlefPmacqUKZo5c6YZ0wMAXAGLYRiG2UUAAAAgsrAnFAAAAAFHCAUAAEDAEUIBAAAQcIRQAAAABBwhFAAAAAFHCAUAAEDAEUIBAAAQcIRQAAAABBwhFAAAAAFHCAUAAEDAEUIBAAAQcP8Pq37vqe2LrXIAAAAASUVORK5CYII=\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8790441953617)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 25\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"40A0Yx1NxMID\"\n      },\n      \"source\": [\n        \"What decision threshold maximises F1 score?\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 144\n        },\n        \"id\": \"R_6fybn3xMID\",\n        \"outputId\": \"9cc21ac7-2b7f-444f-f27a-be99542905e2\"\n      },\n      \"source\": [\n        \"cnn_pr_data.sort_values('f1', ascending=False)[:3]\\n\"\n      ],\n      \"execution_count\": 26,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>group</th>\\n\",\n              \"      <th>precision</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>threshold</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>177</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.986568</td>\\n\",\n              \"      <td>0.967323</td>\\n\",\n              \"      <td>0.625205</td>\\n\",\n              \"      <td>0.976851</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>176</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.986385</td>\\n\",\n              \"      <td>0.967430</td>\\n\",\n              \"      <td>0.590015</td>\\n\",\n              \"      <td>0.976815</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>178</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.986577</td>\\n\",\n              \"      <td>0.967216</td>\\n\",\n              \"      <td>0.639263</td>\\n\",\n              \"      <td>0.976801</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"    group  precision    recall  threshold        f1\\n\",\n              \"177   all   0.986568  0.967323   0.625205  0.976851\\n\",\n              \"176   all   0.986385  0.967430   0.590015  0.976815\\n\",\n              \"178   all   0.986577  0.967216   0.639263  0.976801\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 26\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"9H9UiNZXxMIE\"\n      },\n      \"source\": [\n        \"Now let's have a look at PR curves for each different top level group.\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"G4aq7gtaAQmx\"\n      },\n      \"source\": [\n        \"# Load CNN ensemble predictions\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"EtefjIEV_Qut\",\n        \"outputId\": \"0d858daa-89ed-4eff-a347-f6540602ed73\"\n      },\n      \"source\": [\n        \"min_decision_threshold = 1e-10\\n\",\n        \"download_inference_results(f\\\"ec_random_test_ens\\\")\\n\",\n        \"ens_predictions_df = colab_evaluation.get_normalized_inference_results(\\n\",\n        \"    \\\"inference_results/ec_random_test_ens\\\",\\n\",\n        \"    vocab,\\n\",\n        \"    label_normalizer,\\n\",\n        \"    min_decision_threshold=min_decision_threshold)\\n\"\n      ],\n      \"execution_count\": 27,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"Downloading: 100%|██████████| 64/64 [00:34<00:00,  1.97it/s]\\n\",\n            \"100%|██████████| 64/64 [01:50<00:00,  1.69s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"JLVF_tY8DVZx\",\n        \"outputId\": \"9bfbebad-508d-4d94-e61b-71d7cdfa5dd7\"\n      },\n      \"source\": [\n        \"ens_cnn_pr_data = colab_evaluation.get_pr_curve_df(ens_predictions_df,\\n\",\n        \"                                                   ground_truth_df)\\n\"\n      ],\n      \"execution_count\": 28,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:00<00:00,  1.50it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 144\n        },\n        \"id\": \"c9-YYhgeKoPX\",\n        \"outputId\": \"fb2c380f-383b-46d0-e93c-bb248ad7fe47\"\n      },\n      \"source\": [\n        \"ens_cnn_pr_data.sort_values('f1', ascending=False)[0:3]\\n\"\n      ],\n      \"execution_count\": 29,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>group</th>\\n\",\n              \"      <th>precision</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>threshold</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>170</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.985678</td>\\n\",\n              \"      <td>0.975735</td>\\n\",\n              \"      <td>0.253779</td>\\n\",\n              \"      <td>0.980681</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>171</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.985783</td>\\n\",\n              \"      <td>0.975628</td>\\n\",\n              \"      <td>0.257399</td>\\n\",\n              \"      <td>0.980679</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>176</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.986421</td>\\n\",\n              \"      <td>0.974998</td>\\n\",\n              \"      <td>0.274864</td>\\n\",\n              \"      <td>0.980676</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"    group  precision    recall  threshold        f1\\n\",\n              \"170   all   0.985678  0.975735   0.253779  0.980681\\n\",\n              \"171   all   0.985783  0.975628   0.257399  0.980679\\n\",\n              \"176   all   0.986421  0.974998   0.274864  0.980676\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 29\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"6NvGPanNwkRy\"\n      },\n      \"source\": [\n        \"cnn_pr_data['method'] = \\\"CNN\\\"\\n\",\n        \"ens_cnn_pr_data['method'] = \\\"CNN Ensemble\\\"\"\n      ],\n      \"execution_count\": 30,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 533\n        },\n        \"id\": \"BKUHnc3qwsBp\",\n        \"outputId\": \"3377e631-29ba-4189-8f00-56c04fd56883\"\n      },\n      \"source\": [\n        \"method_comparison = pd.concat([cnn_pr_data, ens_cnn_pr_data],\\n\",\n        \"                              ignore_index=True)\\n\",\n        \"ggplot(method_comparison,\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\", color=\\\"method\\\",\\n\",\n        \"           linetype=\\\"method\\\")) + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.91, 1), ylim=(0.91, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"Method\\\")\\n\"\n      ],\n      \"execution_count\": 31,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"/usr/local/lib/python3.7/dist-packages/plotnine/utils.py:1246: FutureWarning:\\n\",\n            \"\\n\",\n            \"is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\\n\",\n            \"\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8790442408473)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 31\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"aSOdgXSpHiYx\"\n      },\n      \"source\": [\n        \"# Blast comparison\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"vvFBBYlmToXe\"\n      },\n      \"source\": [\n        \"Let's do the same sort of analysis for a BLAST baseline.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"VXqzzmJOHjr8\",\n        \"outputId\": \"e5a224a7-ae9e-4852-9f9d-5222fe6ff09c\"\n      },\n      \"source\": [\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/blast_output/random/blast_out_test.tsv\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/fasta_files/SWISSPROT_RANDOM_EC/eval_test.fasta\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/fasta_files/SWISSPROT_RANDOM_EC/train.fasta\\n\",\n        \"train_ground_truth = colab_evaluation.make_tidy_df_from_ground_truth(baseline_utils.load_ground_truth('train.fasta')).rename(columns={\\\"up_id\\\":\\\"train_seq_id\\\"}).drop(columns=[\\\"gt\\\"])\"\n      ],\n      \"execution_count\": 32,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"877044it [00:07, 123593.34it/s]\\n\",\n            \"100%|██████████| 438522/438522 [00:06<00:00, 66985.53it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"NwD3Ers7IIBe\"\n      },\n      \"source\": [\n        \"blast_out = colab_evaluation.read_blast_table(\\\"blast_out_test.tsv\\\")\\n\",\n        \"blast_df = blast_out.merge(train_ground_truth,\\n\",\n        \"                           left_on=\\\"target\\\",\\n\",\n        \"                           right_on=\\\"train_seq_id\\\")\\n\",\n        \"blast_df.rename(columns={'bit_score': 'value', \\\"query\\\": \\\"up_id\\\"}, inplace=True)\\n\"\n      ],\n      \"execution_count\": 33,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"kcqNR0hQJwHv\",\n        \"outputId\": \"b02e334c-45ed-497a-8c31-c83ccb95d7cc\"\n      },\n      \"source\": [\n        \"min_decision_threshold = 0\\n\",\n        \"blast_pr_data = colab_evaluation.get_pr_curve_df(blast_df, ground_truth_df)\\n\",\n        \"blast_pr_data['method'] = 'BLAST'\"\n      ],\n      \"execution_count\": 34,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:00<00:00, 12.64it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 533\n        },\n        \"id\": \"2IIjwAbrOmTT\",\n        \"outputId\": \"caac3df7-f211-4a06-efbe-7c3d643c4c40\"\n      },\n      \"source\": [\n        \"cnn_pr_data['method'] = 'CNN'\\n\",\n        \"ens_cnn_pr_data['method'] = 'Ensembled CNN'\\n\",\n        \"method_comparison = pd.concat([\\n\",\n        \"    cnn_pr_data.drop(index=0),\\n\",\n        \"    ens_cnn_pr_data.drop(index=0),\\n\",\n        \"    blast_pr_data.drop(index=0)\\n\",\n        \"],\\n\",\n        \"                              ignore_index=True)\\n\",\n        \"ggplot(method_comparison,\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\",\\n\",\n        \"           color=\\\"method\\\")) + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.90, 1), ylim=(0.90, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"Method\\\")\\n\"\n      ],\n      \"execution_count\": 35,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"/usr/local/lib/python3.7/dist-packages/plotnine/utils.py:1246: FutureWarning:\\n\",\n            \"\\n\",\n            \"is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\\n\",\n            \"\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8790441922421)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 35\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 174\n        },\n        \"id\": \"DdPDKvc7axjD\",\n        \"outputId\": \"b7a8d32d-e67b-4465-c140-c283cf3de0a4\"\n      },\n      \"source\": [\n        \"method_comparison.groupby(\\\"method\\\")[['f1']].agg(max)\"\n      ],\n      \"execution_count\": 36,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>method</th>\\n\",\n              \"      <th></th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>BLAST</th>\\n\",\n              \"      <td>0.984229</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>CNN</th>\\n\",\n              \"      <td>0.976851</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>Ensembled CNN</th>\\n\",\n              \"      <td>0.980681</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"                     f1\\n\",\n              \"method                 \\n\",\n              \"BLAST          0.984229\\n\",\n              \"CNN            0.976851\\n\",\n              \"Ensembled CNN  0.980681\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 36\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 144\n        },\n        \"id\": \"JoW4Rg7Ln2Bd\",\n        \"outputId\": \"d66337a6-2aa3-4896-b2df-542e272201ef\"\n      },\n      \"source\": [\n        \"method_comparison.sort_values('f1',\\n\",\n        \"                              ascending=False).drop_duplicates(['method'])\\n\"\n      ],\n      \"execution_count\": 37,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>group</th>\\n\",\n              \"      <th>precision</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>threshold</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"      <th>method</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1169</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.982717</td>\\n\",\n              \"      <td>0.985745</td>\\n\",\n              \"      <td>60.500000</td>\\n\",\n              \"      <td>0.984229</td>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>508</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.985678</td>\\n\",\n              \"      <td>0.975735</td>\\n\",\n              \"      <td>0.253779</td>\\n\",\n              \"      <td>0.980681</td>\\n\",\n              \"      <td>Ensembled CNN</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>176</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.986568</td>\\n\",\n              \"      <td>0.967323</td>\\n\",\n              \"      <td>0.625205</td>\\n\",\n              \"      <td>0.976851</td>\\n\",\n              \"      <td>CNN</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"     group  precision    recall  threshold        f1         method\\n\",\n              \"1169   all   0.982717  0.985745  60.500000  0.984229          BLAST\\n\",\n              \"508    all   0.985678  0.975735   0.253779  0.980681  Ensembled CNN\\n\",\n              \"176    all   0.986568  0.967323   0.625205  0.976851            CNN\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 37\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"_VyNMIBZcAfk\"\n      },\n      \"source\": [\n        \"Let's investigate what's going on at the left hand side of the graph where the CNN and ensemble achieve greater precision than BLAST.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"UQ0as8vXMNEW\"\n      },\n      \"source\": [\n        \"def get_x_where_y_is_closest_to_z(df, x, y, z):\\n\",\n        \"    return df.iloc[(df[y] - z).abs().argsort()[:1]][x]\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"cnn_threshold = float(\\n\",\n        \"    get_x_where_y_is_closest_to_z(cnn_pr_data,\\n\",\n        \"                                  x=\\\"threshold\\\",\\n\",\n        \"                                  y=\\\"recall\\\",\\n\",\n        \"                                  z=0.96))\\n\",\n        \"blast_threshold = float(\\n\",\n        \"    get_x_where_y_is_closest_to_z(blast_pr_data,\\n\",\n        \"                                  x=\\\"threshold\\\",\\n\",\n        \"                                  y=\\\"recall\\\",\\n\",\n        \"                                  z=0.96))\\n\",\n        \"\\n\",\n        \"cnn_results = colab_evaluation.assign_tp_fp_fn(ens_predictions_df,\\n\",\n        \"                                               ground_truth_df, cnn_threshold)\\n\",\n        \"\\n\",\n        \"blast_results = colab_evaluation.assign_tp_fp_fn(blast_df, ground_truth_df,\\n\",\n        \"                                                 blast_threshold)\\n\",\n        \"\\n\",\n        \"merged = cnn_results.merge(blast_results,\\n\",\n        \"                           how=\\\"outer\\\",\\n\",\n        \"                           suffixes=(\\\"_ens_cnn\\\", \\\"_blast\\\"),\\n\",\n        \"                           left_on=[\\\"label\\\", \\\"up_id\\\", \\\"gt\\\"],\\n\",\n        \"                           right_on=[\\\"label\\\", \\\"up_id\\\", \\\"gt\\\"])\\n\"\n      ],\n      \"execution_count\": 38,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"v4f6jjepehLW\"\n      },\n      \"source\": [\n        \"blast_info = blast_out[['up_id', 'target', 'pc_identity']]\\n\"\n      ],\n      \"execution_count\": 39,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"PF2TB_jNomft\"\n      },\n      \"source\": [\n        \"Let's list some of the BLAST false-positives in case we want to investigate what's going on.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 206\n        },\n        \"id\": \"fchf2u1wdihM\",\n        \"outputId\": \"c8198c91-6576-4d87-f74b-85155a8bfd89\"\n      },\n      \"source\": [\n        \"merged.query(\\\"fp_blast==True and fp_ens_cnn==False\\\").head()\"\n      ],\n      \"execution_count\": 40,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>up_id</th>\\n\",\n              \"      <th>label</th>\\n\",\n              \"      <th>value_ens_cnn</th>\\n\",\n              \"      <th>gt</th>\\n\",\n              \"      <th>tp_ens_cnn</th>\\n\",\n              \"      <th>fp_ens_cnn</th>\\n\",\n              \"      <th>fn_ens_cnn</th>\\n\",\n              \"      <th>target</th>\\n\",\n              \"      <th>pc_identity</th>\\n\",\n              \"      <th>alignment_length</th>\\n\",\n              \"      <th>value_blast</th>\\n\",\n              \"      <th>train_seq_id</th>\\n\",\n              \"      <th>tp_blast</th>\\n\",\n              \"      <th>fp_blast</th>\\n\",\n              \"      <th>fn_blast</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1489</th>\\n\",\n              \"      <td>Q9VXP4</td>\\n\",\n              \"      <td>EC:3.-.-.-</td>\\n\",\n              \"      <td>0.831271</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>O35264</td>\\n\",\n              \"      <td>48.416</td>\\n\",\n              \"      <td>114</td>\\n\",\n              \"      <td>229</td>\\n\",\n              \"      <td>O35264</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>True</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1490</th>\\n\",\n              \"      <td>Q9VXP4</td>\\n\",\n              \"      <td>EC:3.1.-.-</td>\\n\",\n              \"      <td>0.831271</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>O35264</td>\\n\",\n              \"      <td>48.416</td>\\n\",\n              \"      <td>114</td>\\n\",\n              \"      <td>229</td>\\n\",\n              \"      <td>O35264</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>True</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1491</th>\\n\",\n              \"      <td>Q9VXP4</td>\\n\",\n              \"      <td>EC:3.1.1.-</td>\\n\",\n              \"      <td>0.089787</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>O35264</td>\\n\",\n              \"      <td>48.416</td>\\n\",\n              \"      <td>114</td>\\n\",\n              \"      <td>229</td>\\n\",\n              \"      <td>O35264</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>True</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1492</th>\\n\",\n              \"      <td>Q9VXP4</td>\\n\",\n              \"      <td>EC:3.1.1.47</td>\\n\",\n              \"      <td>0.089787</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>O35264</td>\\n\",\n              \"      <td>48.416</td>\\n\",\n              \"      <td>114</td>\\n\",\n              \"      <td>229</td>\\n\",\n              \"      <td>O35264</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>True</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2004</th>\\n\",\n              \"      <td>Q9SP62</td>\\n\",\n              \"      <td>EC:1.14.19.6</td>\\n\",\n              \"      <td>0.0393828</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>Q8GZC3</td>\\n\",\n              \"      <td>63.859</td>\\n\",\n              \"      <td>131</td>\\n\",\n              \"      <td>514</td>\\n\",\n              \"      <td>Q8GZC3</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"      <td>True</td>\\n\",\n              \"      <td>False</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"       up_id         label value_ens_cnn  ... tp_blast fp_blast fn_blast\\n\",\n              \"1489  Q9VXP4    EC:3.-.-.-      0.831271  ...    False     True    False\\n\",\n              \"1490  Q9VXP4    EC:3.1.-.-      0.831271  ...    False     True    False\\n\",\n              \"1491  Q9VXP4    EC:3.1.1.-      0.089787  ...    False     True    False\\n\",\n              \"1492  Q9VXP4   EC:3.1.1.47      0.089787  ...    False     True    False\\n\",\n              \"2004  Q9SP62  EC:1.14.19.6     0.0393828  ...    False     True    False\\n\",\n              \"\\n\",\n              \"[5 rows x 15 columns]\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 40\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"kXvgYdoIEC8x\"\n      },\n      \"source\": [\n        \"# An ensemble of BLAST and ensembled-CNNs\\n\",\n        \"\\n\",\n        \"We've seen that the CNN-ensemble and BLAST have different strengths - at lower recalls the CNN appears to have greater precision than BLAST at lower recalls, but BLAST has better recall at lower precisions. Can we combine these approaches to get a predictor with the best of both worlds?\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"8c3FW0x6GgR5\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble = ens_predictions_df.merge(blast_df,\\n\",\n        \"                                                  how=\\\"outer\\\",\\n\",\n        \"                                                  suffixes=(\\\"_ens_cnn\\\",\\n\",\n        \"                                                            \\\"_blast\\\"),\\n\",\n        \"                                                  left_on=[\\\"label\\\", \\\"up_id\\\"],\\n\",\n        \"                                                  right_on=[\\\"label\\\", \\\"up_id\\\"])\\n\"\n      ],\n      \"execution_count\": 41,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"WqkATRN3GqDE\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble = blast_and_cnn_ensemble.fillna(False)\\n\"\n      ],\n      \"execution_count\": 42,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"QNO1n03TJp6z\"\n      },\n      \"source\": [\n        \"We will create a simple ensemble where the value of the predictor is simply the multiple of the probability assigned by the ensemble of neural networks and the bit-score linking this sequence to to an example with this label by BLAST.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"8FbzU_6QGvZS\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble['value'] = blast_and_cnn_ensemble[\\n\",\n        \"    'value_ens_cnn'] * blast_and_cnn_ensemble['value_blast']\\n\"\n      ],\n      \"execution_count\": 43,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"ahX0RAesG6Nb\",\n        \"outputId\": \"41d65006-4d07-4c76-8ea4-ba5253691c90\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble_pr = colab_evaluation.get_pr_curve_df(\\n\",\n        \"    blast_and_cnn_ensemble, ground_truth_df)\"\n      ],\n      \"execution_count\": 44,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:00<00:00,  3.54it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"He1PKIk2wfes\",\n        \"outputId\": \"c1a7f035-eccd-413e-bee6-f2f608b357b9\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble_pr.f1.max()\"\n      ],\n      \"execution_count\": 45,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"0.9863972357083497\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 45\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"JjVIWQabHI9z\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble_pr['method'] = 'Ensemble of BLAST  with  Ensembled-CNN'\\n\"\n      ],\n      \"execution_count\": 46,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 533\n        },\n        \"id\": \"BXLI2DaoHIRd\",\n        \"outputId\": \"e1ee8ca4-36c2-4da6-8dc7-54e50fc3e824\"\n      },\n      \"source\": [\n        \"cnn_pr_data['method'] = 'CNN'\\n\",\n        \"ens_cnn_pr_data['method'] = 'Ensembled CNN'\\n\",\n        \"method_comparison = pd.concat([\\n\",\n        \"    cnn_pr_data.drop(index=0),\\n\",\n        \"    ens_cnn_pr_data.drop(index=0),\\n\",\n        \"    blast_pr_data.drop(index=0),\\n\",\n        \"    blast_and_cnn_ensemble_pr.drop(index=0)\\n\",\n        \"],\\n\",\n        \"                              ignore_index=True)\\n\",\n        \"ggplot(method_comparison,\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\",\\n\",\n        \"           color=\\\"method\\\")) + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.93, 1), ylim=(0.93, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"Method\\\") \\n\"\n      ],\n      \"execution_count\": 47,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"/usr/local/lib/python3.7/dist-packages/plotnine/utils.py:1246: FutureWarning:\\n\",\n            \"\\n\",\n            \"is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\\n\",\n            \"\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8790414928861)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 47\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 542\n        },\n        \"id\": \"Jo3iGx1XZ8t7\",\n        \"outputId\": \"f0d43b6f-0546-4d64-90a5-944374cc2bc6\"\n      },\n      \"source\": [\n        \"method_comparison = method_comparison.query(\\\"recall!=1.0\\\")\\n\",\n        \"fig = px.line(method_comparison, x=\\\"recall\\\", y=\\\"precision\\\", color=\\\"method\\\")\\n\",\n        \"fig.update_layout(template=\\\"plotly_white\\\", title=\\\"Precision-recall by method\\\")\\n\",\n        \"fig.update_xaxes(range=(0.95, 1))\\n\",\n        \"fig.update_yaxes(range=(0.95, 1))\\n\",\n        \"fig.show()\\n\",\n        \"json = fig.to_json(pretty=True)\\n\",\n        \"with open(\\\"method.json\\\", \\\"w\\\") as f:\\n\",\n        \"    f.write(json)\\n\"\n      ],\n      \"execution_count\": 48,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"text/html\": [\n              \"<html>\\n\",\n              \"<head><meta charset=\\\"utf-8\\\" /></head>\\n\",\n              \"<body>\\n\",\n              \"    <div>            <script src=\\\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\\\"></script><script type=\\\"text/javascript\\\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \\\"STIX-Web\\\"}});}</script>                <script type=\\\"text/javascript\\\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\\n\",\n              \"        <script src=\\\"https://cdn.plot.ly/plotly-latest.min.js\\\"></script>                <div id=\\\"1e172a70-269c-4631-9a3c-9086aa331346\\\" class=\\\"plotly-graph-div\\\" style=\\\"height:525px; width:100%;\\\"></div>            <script type=\\\"text/javascript\\\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\\\"1e172a70-269c-4631-9a3c-9086aa331346\\\")) {                    Plotly.newPlot(                        \\\"1e172a70-269c-4631-9a3c-9086aa331346\\\",                        [{\\\"hovertemplate\\\": \\\"method=CNN<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"CNN\\\", \\\"line\\\": {\\\"color\\\": \\\"#636efa\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"CNN\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [0.9869951159004574, 0.9868885184898054, 0.9867819210791534, 0.9866753236685014, 0.9865687262578494, 0.9864621288471974, 0.9863555314365454, 0.9862489340258935, 0.9861423366152415, 0.9860163578571982, 0.9859097604465462, 0.9858031630358942, 0.9856674936041554, 0.9855608961935034, 0.9854542987828514, 0.9853477013721994, 0.9852411039615474, 0.9851345065508954, 0.9850279091402434, 0.9849019303822002, 0.9847953329715482, 0.9846693542135049, 0.984562756802853, 0.984456159392201, 0.9843398713078533, 0.9842235832235057, 0.9840976044654625, 0.9839910070548105, 0.9838844096441585, 0.9837681215598109, 0.9836615241491589, 0.9835549267385069, 0.9834289479804637, 0.9833126598961159, 0.9832060624854639, 0.983099465074812, 0.9829831769904643, 0.9828571982324211, 0.9827506008217691, 0.9826440034111171, 0.9825277153267695, 0.9824211179161175, 0.9823145205054655, 0.9822079230948135, 0.9820916350104659, 0.9819850375998139, 0.9818784401891619, 0.9817718427785099, 0.9816555546941623, 0.9815489572835103, 0.9814423598728583, 0.9813357624622063, 0.9812291650515543, 0.9810934956198155, 0.9809772075354679, 0.9808706101248159, 0.9807640127141639, 0.9806574153035119, 0.9805508178928599, 0.9804442204822079, 0.9803376230715559, 0.9802213349872083, 0.9801050469028607, 0.9799984494922087, 0.9798627800604698, 0.9797368013024266, 0.979620513218079, 0.9795042251337313, 0.9793976277230793, 0.979271648965036, 0.979165051554384, 0.9790487634700364, 0.9789324753856888, 0.9788064966276455, 0.9786998992169935, 0.9785933018063416, 0.9784867043956896, 0.9783801069850376, 0.9782735095743856, 0.978157221490038, 0.978050624079386, 0.9779246453213427, 0.9778180479106907, 0.9777114505000387, 0.9776048530893868, 0.9774982556787348, 0.9773916582680828, 0.9772753701837352, 0.9771687727730832, 0.9770621753624312, 0.9769458872780836, 0.9768199085200403, 0.9766939297619971, 0.9765873323513451, 0.9764807349406931, 0.9763741375300411, 0.9762675401193891, 0.9761609427087371, 0.9760543452980851, 0.9759186758663462, 0.9758023877819986, 0.975686099697651, 0.975579502286999, 0.975472904876347, 0.9753566167919994, 0.9752500193813474, 0.9751434219706954, 0.9750368245600434, 0.9749205364756958, 0.9748139390650438, 0.9746976509806962, 0.9745813628963486, 0.9744747654856966, 0.974358477401349, 0.974251879990697, 0.9741355919063494, 0.9740289944956974, 0.9738933250639584, 0.9737867276533064, 0.9736801302426544, 0.9735735328320024, 0.9734669354213505, 0.9733603380106985, 0.9732537406000465, 0.9731374525156989, 0.9730211644313512, 0.972895185673308, 0.9727692069152647, 0.9726626095046128, 0.9725560120939608, 0.9724494146833088, 0.9723428172726568, 0.9722168385146135, 0.9721102411039615, 0.9720036436933096, 0.9718873556089619, 0.9717710675246143, 0.9716644701139623, 0.9715481820296147, 0.9714318939452671, 0.9713252965346151, 0.9712186991239631, 0.9711121017133111, 0.9710055043026591, 0.9708989068920071, 0.9707826188076595, 0.9706566400496163, 0.970530661291573, 0.9704143732072253, 0.9703077757965733, 0.9702011783859213, 0.9700945809752693, 0.9699879835646175, 0.9698813861539655, 0.9697747887433135, 0.9696681913326615, 0.9695615939220095, 0.9694549965113575, 0.9693193270796185, 0.9692127296689665, 0.9690867509109233, 0.9689801535002713, 0.9688541747422281, 0.9687475773315761, 0.9686215985735328, 0.9685150011628808, 0.9683890224048376, 0.9682824249941856, 0.9681758275835336, 0.9680692301728816, 0.9679626327622296, 0.9678560353515776, 0.9677494379409256, 0.9676428405302737, 0.9675362431196217, 0.9674296457089697, 0.9673230482983177, 0.9672164508876657, 0.9671098534770137, 0.9670032560663617, 0.9668869679820141, 0.9667803705713621, 0.9666737731607101, 0.9665574850763625, 0.9664218156446236, 0.9663152182339716, 0.9662086208233196, 0.9661020234126676, 0.9659954260020157, 0.9658694472439724, 0.9657628498333204, 0.9656465617489728, 0.9655399643383208, 0.9654236762539732, 0.9653170788433212, 0.9652007907589736, 0.9650651213272347, 0.9649585239165827, 0.964842235832235, 0.964735638421583, 0.9645902783161485, 0.9644739902318009, 0.9643673928211489, 0.9642511047368013, 0.9641348166524537, 0.9640282192418017, 0.9639216218311497, 0.9638150244204977, 0.9637084270098457, 0.9635824482518025, 0.9634564694937592, 0.9633498720831072, 0.9632335839987596, 0.9630979145670207, 0.9629913171563688, 0.962875029072021, 0.9627490503139778, 0.9626424529033258, 0.9625261648189782, 0.9624195674083262, 0.9622935886502829, 0.962186991239631, 0.9620513218078921, 0.9619253430498488, 0.9618187456391968, 0.9617024575548492, 0.9615958601441972, 0.9614795720598496, 0.961363283975502, 0.96125668656485, 0.9611403984805024, 0.9610338010698504, 0.9609272036591984, 0.9608206062485464, 0.9607140088378944, 0.9606074114272424, 0.9605008140165905, 0.9603942166059385, 0.9602876191952865, 0.9601810217846345, 0.9600744243739825, 0.9599581362896349, 0.9598321575315916, 0.9597061787735484, 0.9595995813628964, 0.9594929839522444, 0.9593766958678968, 0.9592700984572448, 0.9591635010465928, 0.9590569036359408, 0.9589503062252888, 0.9588340181409412, 0.958708039382898, 0.958601441972246, 0.958494844561594, 0.958388247150942, 0.9582622683928986, 0.958145980308551, 0.958039382897899, 0.957932785487247, 0.957826188076595, 0.9577195906659431, 0.9576129932552911, 0.9574870144972478, 0.9573804170865958, 0.9572544383285526, 0.9571478409179006, 0.957031552833553, 0.9569152647492054, 0.9568086673385534, 0.9566923792542058, 0.9565760911698581, 0.9564501124118149, 0.9563338243274673, 0.9562175362431197, 0.9561109388324677, 0.9559849600744244, 0.9558686719900767, 0.9557330025583378, 0.9556167144739902, 0.9555004263896426, 0.955384138305295, 0.955277540894643, 0.955170943483991, 0.9550546553996434, 0.9549480579889914, 0.9548317699046438, 0.9547251724939918, 0.9546088844096442, 0.9545022869989922, 0.9543956895883402, 0.9542890921776882, 0.9541824947670362, 0.9540758973563842, 0.9539596092720366, 0.9538239398402977, 0.9537173424296457, 0.9536107450189937, 0.9535041476083417, 0.9533878595239941, 0.9532715714396465, 0.9531649740289945, 0.9530293045972557, 0.9529033258392123, 0.9527773470811691, 0.9526707496705171, 0.9525544615861695, 0.9523994108070393, 0.9522928133963873, 0.9521765253120397, 0.9520505465539965, 0.9519342584696489, 0.9518276610589969, 0.9517016823009535, 0.9515853942166059, 0.9514594154585627, 0.9513528180479107, 0.9512365299635631, 0.9511008605318242, 0.9509845724474766, 0.9508585936894333, 0.95073261493139, 0.9505581828048686, 0.9504031320257385, 0.9502868439413908, 0.9501317931622606, 0.9500251957516086, 0.949908907667261, 0.9496860221722614, 0.9495503527405226, 0.9493662299403054, 0.949191797813784, 0.9490367470346538, 0.9486006667183503, 0.948154895728351, 0.9477769594542212, 0.9468078920846578, 0.9465850065896582, 0.9462264516629196], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.5992304433775769, 0.6107249731635792, 0.6210274018552514, 0.6335685483870968, 0.6419163035870792, 0.6494306038470127, 0.658621336732647, 0.6663153070577452, 0.6729267373349292, 0.6828654456621679, 0.6982416647221117, 0.7104932322004778, 0.7186420320062176, 0.7226078739262344, 0.7291088597793122, 0.7411997113344948, 0.7476596339248288, 0.7583588213353226, 0.7698197515904271, 0.7784109186158724, 0.7856071616314666, 0.7935615379208547, 0.7966674507958912, 0.8027499012248124, 0.8133302372506787, 0.8201227390180879, 0.8261148983941559, 0.8309872986774912, 0.8440352481503034, 0.8473378016309564, 0.8524543355028343, 0.8573226563951819, 0.8602794072767963, 0.868564091589985, 0.875642973038285, 0.8833240456951797, 0.8867403314917127, 0.8876354343526281, 0.8919418107618428, 0.8987299139390394, 0.9053559309926064, 0.907421165224085, 0.9109757083928716, 0.9116141856219027, 0.9129432113000865, 0.9155576035200896, 0.9187370788146966, 0.92203170789421, 0.9247165574279298, 0.9256808627307622, 0.9269102990033222, 0.9285858382085939, 0.9304644281487199, 0.9315342006956073, 0.9334507496818694, 0.9351515655459778, 0.9365728616244529, 0.9378597047293352, 0.9393683389654276, 0.9416002010256028, 0.942357313858278, 0.9443303396381425, 0.9456573571074605, 0.9462357542526714, 0.9473191114608804, 0.9480766706052252, 0.9488272120592073, 0.9495077593657235, 0.9503060620022379, 0.9508722735570319, 0.9510282836839381, 0.9520354315868828, 0.953557741320395, 0.9540924762669437, 0.9548363918276276, 0.955509296494299, 0.9570533539330636, 0.9580569552386103, 0.9587258775262119, 0.9599338094739945, 0.9603040942349594, 0.9618001944301481, 0.9627138372880709, 0.9647904832941266, 0.9655532159264931, 0.9663821266729897, 0.9667768991133477, 0.9671810413449827, 0.9680039167122656, 0.9685956923549869, 0.9685920716358256, 0.9689326361119656, 0.9695719095719095, 0.9700446634837517, 0.9702282946744081, 0.9705896519502538, 0.9709887906855705, 0.9714164480790002, 0.9716383210657817, 0.9719439457988303, 0.972391216177067, 0.9725476937937696, 0.9727421178243939, 0.9731906336407757, 0.9733945841392649, 0.9736460207813317, 0.973737432384049, 0.9738571580669203, 0.9741558781094768, 0.9746817045520609, 0.9749905487538896, 0.9753280381717145, 0.9755524942276722, 0.9758810455105745, 0.9760774376450256, 0.9762737214226055, 0.9763470523667518, 0.9769607652525567, 0.9772243238775054, 0.9778876474481255, 0.9781709133749403, 0.9784544055480879, 0.9786046239733435, 0.9786500102316245, 0.9789146349785052, 0.9791221757403777, 0.9792914415029556, 0.9795181545847523, 0.9798889008210405, 0.9801068390675508, 0.9803153452385605, 0.9803419638495359, 0.9804735983112302, 0.980720724243787, 0.9807761882877509, 0.9808890410289012, 0.9809347732519467, 0.9810862907407951, 0.981285725471772, 0.9813988095238095, 0.9815794112462541, 0.9816447265318915, 0.9818447248785076, 0.9820448486749255, 0.9821295533858762, 0.9822815343583308, 0.9823948842181661, 0.9826432496075354, 0.9827569286331161, 0.9830155706964597, 0.9831585356273077, 0.9833788483074324, 0.9834929992630803, 0.9835395395001917, 0.9836054294728772, 0.9837583813437678, 0.9839017386515616, 0.984064528821562, 0.9842753680233016, 0.9844189846256816, 0.9844557545210226, 0.9845316161556488, 0.9846556886227545, 0.9847122213575784, 0.9847296658259773, 0.9849318038473668, 0.9851337762968513, 0.9852681608866714, 0.9853637367839672, 0.985537128932648, 0.9856328077203923, 0.9857674427786057, 0.9859021442956996, 0.9861050760418724, 0.9861912287633346, 0.9863846100643223, 0.9865683590468378, 0.9865766504887957, 0.9866629756690757, 0.9867005497765297, 0.9867965582039363, 0.9868536891772922, 0.9869401323795672, 0.987006946780929, 0.9871614665821983, 0.9873457829177971, 0.9875008666197866, 0.987567979871024, 0.9876155469469846, 0.9877020344660146, 0.9877594306896347, 0.9879244534774203, 0.9880406973284941, 0.9881470754520477, 0.9882438143613961, 0.988311056867006, 0.9884467647963792, 0.9884553152205203, 0.9884735666418466, 0.9885999145986634, 0.9886276729934547, 0.9886950647699276, 0.9887134752759535, 0.9887121294925426, 0.9887304347826087, 0.9887979961632888, 0.98882626027656, 0.9888447007357327, 0.988922146756695, 0.9889895664455297, 0.9890570129624655, 0.9890754964778923, 0.9891135612785097, 0.9891809576892835, 0.9892191606275385, 0.9892671173548123, 0.9892657279987255, 0.9893433724740307, 0.9893815182635893, 0.9894099245843171, 0.989408552867562, 0.9894271108409483, 0.9894354967309839, 0.989463716108453, 0.9894921540087332, 0.989530361950344, 0.9895982926440083, 0.9896266594851232, 0.9896747805267359, 0.9897427710482728, 0.9898205624638231, 0.9898293242838606, 0.9898282075085597, 0.9898270904879802, 0.9899050414881826, 0.9900225715598346, 0.9901005923661682, 0.9900995044757033, 0.9901182018924293, 0.9901764835208762, 0.9901852999380335, 0.9902732098407525, 0.9902917474854526, 0.9903697110913328, 0.9904280856171235, 0.9904864799975991, 0.9904853378155296, 0.9905635832366009, 0.9906517735607334, 0.9906804941039861, 0.9906794677986124, 0.990688267216693, 0.9906870550064589, 0.9907157951666049, 0.9907643918221795, 0.9908328574434192, 0.9908614487409441, 0.9909000711558312, 0.9909487295143588, 0.9910172737024673, 0.991056030160831, 0.9911047374543704, 0.9911335780626266, 0.9912219101123596, 0.9912706694493498, 0.991299373795761, 0.9913183118382095, 0.991337167866213, 0.9913560291947353, 0.9914247557461165, 0.9914834640608209, 0.9915123146771666, 0.9915610118748619, 0.9915898837454659, 0.991588869572208, 0.9916876067946527, 0.9917164284134548, 0.9917353710034185, 0.9917342075096032, 0.9917731067082369, 0.9918419490800817, 0.9918709002374341, 0.9919897758948608, 0.9920188407693314, 0.9920877793436682, 0.9921768022553363, 0.992235805925359, 0.9922549325705768, 0.9922639912969902, 0.9922731302385558, 0.9923122651109835, 0.9923614120302722, 0.9924005724767684, 0.9924097332822611, 0.9924588412021494, 0.9924577766574237, 0.9925069837331962, 0.9925061524186065, 0.9925253442275684, 0.9925444658548642, 0.9925836234296957, 0.992632885587704, 0.9927721303035504, 0.9928012519561815, 0.9928604608890594, 0.9928797228646743, 0.9928788598094969, 0.9929278642149929, 0.9929772442504345, 0.9929763925943892, 0.993025653465947, 0.9930649628985625, 0.9931043547718471, 0.993103448275862, 0.9931226991383146, 0.9931720245200186, 0.9931813123444551, 0.9932307318702001, 0.9932699800629484, 0.9933294869069671, 0.9933286090301681, 0.9933478458968258, 0.9934069940551544, 0.9934361135309252, 0.993445379853914, 0.9935248518011855, 0.9935341988183191, 0.9935736947200908, 0.9935822696257844, 0.9936015088676394, 0.9936506648545028, 0.9936595856919674, 0.9936585563830435, 0.9936859202111461, 0.9937939930728368, 0.9938420266439045, 0.9940784453375388, 0.9940871759904744, 0.9941557978761314], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"method=Ensembled CNN<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ensembled CNN\\\", \\\"line\\\": {\\\"color\\\": \\\"#EF553B\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Ensembled CNN\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [0.9945732227304442, 0.9944666253197922, 0.9943600279091402, 0.9942437398247926, 0.9941371424141406, 0.9940014729824017, 0.9938948755717497, 0.9937785874874021, 0.9936719900767501, 0.9935653926660981, 0.9934587952554461, 0.9933521978447941, 0.9932456004341422, 0.9931390030234902, 0.9930324056128382, 0.9929258082021862, 0.9928192107915342, 0.9927126133808822, 0.9925963252965346, 0.9924897278858826, 0.9923831304752306, 0.9922765330645786, 0.9921699356539266, 0.9920633382432746, 0.9919567408326226, 0.9918501434219706, 0.991733855337623, 0.9916175672532754, 0.9915109698426234, 0.9914043724319714, 0.9912783936739282, 0.9911717962632762, 0.9910651988526242, 0.9909586014419722, 0.9908423133576246, 0.9907357159469726, 0.9906291185363206, 0.9905225211256686, 0.990406233041321, 0.9902802542832778, 0.9901736568726258, 0.9900670594619738, 0.9899604620513218, 0.9898344832932785, 0.9897278858826266, 0.9896212884719746, 0.9895146910613226, 0.9893887123032793, 0.9892627335452361, 0.9891464454608885, 0.9890301573765408, 0.9889235599658889, 0.9888169625552369, 0.9887103651445849, 0.9885940770602373, 0.9884874796495853, 0.9883711915652376, 0.9882645941545857, 0.9881579967439337, 0.9880513993332817, 0.9879351112489341, 0.9878188231645864, 0.9877122257539344, 0.9876056283432825, 0.9874990309326305, 0.9873827428482828, 0.9872761454376309, 0.9871598573532832, 0.9870532599426313, 0.9869466625319793, 0.9868303744476316, 0.9867237770369797, 0.9866171796263277, 0.98650089154198, 0.9863942941313281, 0.9862780060469803, 0.9861714086363284, 0.9860551205519807, 0.9859388324676331, 0.9858225443832855, 0.9856965656252422, 0.9855899682145903, 0.9854736801302426, 0.9853670827195906, 0.9852604853089387, 0.9851538878982867, 0.9850472904876347, 0.9849406930769827, 0.9848340956663307, 0.9847274982556787, 0.9846209008450267, 0.9845143034343747, 0.9844077060237227, 0.9842914179393751, 0.9841848205287231, 0.9840685324443755, 0.9839425536863323, 0.9838262656019846, 0.9837196681913326, 0.9836130707806807, 0.9835064733700287, 0.9833998759593767, 0.9832932785487247, 0.9831576091169858, 0.9830510117063338, 0.9829347236219862, 0.9828281262113342, 0.9827215288006822, 0.9826149313900302, 0.9825083339793782, 0.9823920458950306, 0.9822854484843786, 0.9821788510737266, 0.9820722536630747, 0.9819656562524227, 0.981849368168075, 0.9817040080626405, 0.9815780293045973, 0.9814617412202497, 0.9813260717885107, 0.9812194743778587, 0.9811128769672067, 0.9810062795565547, 0.9808996821459027, 0.9807930847352508, 0.9806767966509031, 0.9805701992402511, 0.9804345298085123, 0.9803279323978603, 0.9802116443135127, 0.9800953562291651, 0.9799790681448174, 0.9798724707341654, 0.9797658733235135, 0.9796495852391658, 0.9795429878285138, 0.9794363904178619, 0.9793297930072099, 0.9792135049228622, 0.9791069075122103, 0.9789906194278626, 0.9788840220172106, 0.9787774246065587, 0.9786708271959067, 0.978554539111559, 0.9784382510272114, 0.9783316536165594, 0.9782153655322118, 0.9781087681215598, 0.9779924800372122, 0.9778858826265602, 0.9777792852159082, 0.9776629971315606, 0.9775563997209086, 0.9774498023102566, 0.9773432048996046, 0.9772366074889526, 0.9771009380572138, 0.9769943406465618, 0.9768877432359098, 0.9767811458252578, 0.9766745484146058, 0.9765679510039538, 0.9764419722459106, 0.976325684161563, 0.9762093960772152, 0.976083417319172, 0.9759574385611288, 0.9758411504767811, 0.9757345530661291, 0.9756279556554772, 0.9755116675711295, 0.9754050701604775, 0.9752984727498256, 0.9751240406233042, 0.9749980618652608, 0.9748817737809132, 0.97475579502287, 0.974649197612218, 0.9745329095278704, 0.9744069307698271, 0.9743003333591751, 0.9741840452748275, 0.9740774478641755, 0.9739708504535235, 0.9738351810217847, 0.9737285836111327, 0.9736219862004807, 0.9735056981161331, 0.9733506473370028, 0.9732440499263508, 0.9731277618420032, 0.9730211644313512, 0.9729048763470036, 0.9727982789363516, 0.9726916815256996, 0.9725850841150476, 0.9724784867043957, 0.972362198620048, 0.972255601209396, 0.9721393131250484, 0.9720327157143964, 0.9719164276300488, 0.9718098302193968, 0.9716838514613536, 0.9715772540507016, 0.9714706566400496, 0.9713640592293976, 0.9712574618187456, 0.9711508644080936, 0.9710151949763548, 0.9708989068920071, 0.9707923094813552, 0.9706857120707032, 0.9705791146600512, 0.9704725172493992, 0.9703659198387472, 0.9702302504070083, 0.9700945809752693, 0.9699686022172261, 0.9698523141328785, 0.9697457167222265, 0.9696294286378789, 0.9695228312272269, 0.9694162338165749, 0.9693096364059229, 0.9692030389952709, 0.9690964415846189, 0.9689898441739669, 0.9688832467633149, 0.9687766493526629, 0.9686603612683153, 0.9685440731839677, 0.9684374757733157, 0.9683308783626637, 0.9682242809520117, 0.9681079928676641, 0.9680013954570121, 0.9678657260252733, 0.9677591286146213, 0.9676525312039693, 0.9675459337933173, 0.9673715016667959, 0.9672649042561439, 0.9671583068454919, 0.9670517094348399, 0.9669451120241879, 0.966838514613536, 0.9667222265291883, 0.9666156291185363, 0.9665090317078844, 0.9663927436235367, 0.9662861462128847, 0.9661795488022328, 0.9660729513915808, 0.9659566633072331, 0.9658500658965812, 0.9657337778122335, 0.9656271804015815, 0.9655205829909296, 0.9653849135591906, 0.9652783161485387, 0.9651717187378867, 0.9650651213272347, 0.9649391425691914, 0.9648325451585394, 0.9647259477478874, 0.9646193503372354, 0.9645127529265834, 0.9643964648422358, 0.9642704860841925, 0.9641638886735406, 0.9640572912628886, 0.9639506938522366, 0.9638440964415846, 0.9637181176835413, 0.9636018295991937, 0.9634952321885417, 0.9633886347778897, 0.9632820373672377, 0.9631754399565858, 0.9630688425459338, 0.9629525544615861, 0.9628459570509342, 0.9627393596402822, 0.9626327622296302, 0.9625261648189782, 0.9624195674083262, 0.9623032793239786, 0.9621966819133266, 0.962080393828979, 0.961973796418327, 0.961867199007675, 0.961760601597023, 0.961654004186371, 0.961547406775719, 0.961440809365067, 0.961334211954415, 0.9612179238700674, 0.9611113264594154, 0.9610047290487634, 0.9608981316381114, 0.9607915342274594, 0.9606752461431118, 0.9605686487324598, 0.9604620513218078, 0.960355453911156, 0.9602294751531126, 0.9601228777424606, 0.9599872083107217, 0.9598612295526785, 0.9597352507946353, 0.9596286533839833, 0.9595220559733313, 0.959396077215288, 0.959289479804636, 0.9591828823939841, 0.9590762849833321, 0.9588824715094193, 0.9587758740987673, 0.9586498953407241, 0.9585336072563765, 0.9584270098457245, 0.9583204124350725, 0.9582138150244205, 0.9580975269400729, 0.9579909295294209, 0.9578843321187689, 0.9577777347081169, 0.9576711372974649, 0.9575645398868129, 0.9574579424761609, 0.957351345065509, 0.9572253663074657, 0.9570509341809442, 0.9569346460965966, 0.9568280486859446, 0.9567214512752926, 0.9566148538646406, 0.956498565780293, 0.956391968369641, 0.956285370958989, 0.9561690828746414, 0.9560431041165982, 0.9559268160322506, 0.9558202186215986, 0.9556942398635553, 0.9555876424529033, 0.9554713543685557, 0.9553647569579037, 0.9552581595472517, 0.9551515621365997, 0.9550449647259478, 0.9549189859679045, 0.9548123885572525, 0.9547057911466005, 0.9545991937359485, 0.9544635243042097, 0.9543375455461663, 0.9542212574618187, 0.9540952787037755, 0.9539789906194278, 0.9538627025350802, 0.9537464144507326, 0.9535913636716025, 0.9534847662609505, 0.9533781688502985, 0.9532424994185595, 0.9531359020079075, 0.9530099232498643, 0.9529033258392123, 0.9527967284285603, 0.9526804403442127, 0.9525544615861695, 0.9524381735018218, 0.9523315760911698, 0.9522249786805179, 0.9520989999224746, 0.9519633304907357, 0.9518567330800837, 0.9517501356694318, 0.9516435382587798, 0.9515272501744322, 0.9514109620900845, 0.9513043646794325, 0.9511783859213893, 0.9510717885107373, 0.9509651911000853, 0.9508585936894333, 0.9507519962787813, 0.9506453988681293, 0.9505388014574774, 0.9504322040468254, 0.9503062252887821, 0.9501996278781301, 0.9500639584463912, 0.9499573610357392, 0.9498507636250872, 0.9497441662144352, 0.9496278781300876, 0.9495212807194356, 0.9494146833087836, 0.9493080858981316, 0.9492014884874796, 0.9490948910768277, 0.9489882936661757, 0.9488526242344367, 0.9487460268237848, 0.9486103573920459, 0.9485037599813939, 0.9483777812233507, 0.948261493139003, 0.9481355143809598, 0.9480192262966122, 0.9479126288859602, 0.9478060314753082, 0.9476897433909606, 0.9475831459803086, 0.9474765485696566, 0.947360260485309, 0.947253663074657, 0.947147065664005, 0.947040468253353, 0.9469241801690054, 0.9467885107372664, 0.9466819133266144, 0.9465462438948755, 0.9464396464842236, 0.9463330490735716, 0.946216760989224, 0.9460617102100938, 0.9459551127994418, 0.9458485153887898, 0.9457419179781379, 0.9456256298937902, 0.9455190324831382, 0.9454124350724863, 0.9453058376618343, 0.9451992402511823, 0.9450926428405303, 0.944966664082487, 0.944860066671835, 0.9447340879137918, 0.9446274905031398, 0.9445208930924878, 0.9444046050081402, 0.9442980075974882, 0.9441817195131406, 0.9440751221024886, 0.9439685246918366, 0.9438328552600976, 0.9437262578494457, 0.9436196604387938, 0.943503372354446, 0.9433967749437941, 0.9432901775331421, 0.9431545081014032, 0.9430382200170556, 0.9429316226064036, 0.9427862625009691, 0.9426796650903171, 0.9425633770059695, 0.9424567795953175, 0.9423501821846655, 0.9422435847740135, 0.9421369873633615, 0.9420303899527095, 0.9419237925420575, 0.941778432436623, 0.941671835025971, 0.9415458562679277, 0.9414198775098845, 0.9413132800992325, 0.941167919993798, 0.941061322583146, 0.9409353438251027, 0.9408287464144507, 0.9406930769827119, 0.9405670982246686, 0.9404411194666253, 0.9403345220559733, 0.9402182339716257, 0.9401116365609737, 0.9399953484766261, 0.9398790603922784, 0.9397530816342352, 0.9396464842235832, 0.9395301961392356, 0.9394235987285836, 0.9393170013179316, 0.939200713233584, 0.9390650438018451, 0.9389584463911931, 0.9388421583068455, 0.9387355608961935, 0.9386192728118459, 0.9385126754011939, 0.9383963873168463, 0.9382897899061943, 0.9381831924955423, 0.9380765950848903, 0.9379506163268471, 0.9378343282424995, 0.9377277308318475, 0.9376211334211955, 0.9375145360105435, 0.9374079385998915, 0.9372819598418483, 0.9371753624311963, 0.9370687650205443, 0.9369427862625009, 0.9368361888518489, 0.9367199007675013, 0.9366133033568493, 0.9365067059461973, 0.9364001085355453, 0.9362838204511977, 0.9361675323668501, 0.9360609349561981, 0.9359543375455461, 0.9358477401348941, 0.9357411427242421, 0.9356151639661989, 0.9355085665555469, 0.9354019691448949, 0.9352953717342429, 0.9351887743235909, 0.9350821769129389, 0.934975579502287, 0.934868982091635, 0.934762384680983, 0.934655787270331, 0.934549189859679, 0.934442592449027, 0.9343263043646794, 0.9342100162803318, 0.9341034188696798, 0.9339580587642453, 0.9338514613535933, 0.9335801224901155, 0.9334638344057679, 0.9333572369951159, 0.9332506395844639, 0.933114970152725, 0.9329889913946817, 0.9328823939840297, 0.9327564152259865, 0.9326304364679433, 0.9325238390572913, 0.9324172416466393, 0.9323106442359873, 0.9322040468253353, 0.9320974494146833, 0.9319908520040313, 0.9318842545933793, 0.9317776571827273, 0.9316516784246841, 0.9315353903403365, 0.9314287929296845, 0.9313125048453369, 0.9312059074346849, 0.9310896193503372, 0.9309830219396853, 0.9308764245290333, 0.93075044577099, 0.930643848360338, 0.9305275602759904, 0.9303918908442514, 0.9302852934335996, 0.9301786960229476, 0.9300720986122956, 0.9299364291805566, 0.9298298317699046, 0.9297038530118614, 0.9295778742538181, 0.9294712768431661, 0.9293646794325141, 0.9292387006744709, 0.9291321032638189, 0.9290255058531669, 0.9289189084425149, 0.9288123110318629, 0.9287057136212109, 0.9285797348631677, 0.9284731374525157, 0.9283665400418637, 0.9282599426312117, 0.9281533452205597, 0.9280273664625165, 0.9279110783781689, 0.9277947902938213, 0.9276881928831693, 0.9275815954725173, 0.9274653073881697, 0.9273296379564308, 0.9272036591983874, 0.9270679897666486, 0.9269613923559966, 0.9268547949453446, 0.9267288161873013, 0.9266222187766493, 0.9265156213659974, 0.926341189239476, 0.926234591828824, 0.9261183037444763, 0.9260117063338243, 0.9258566555546942, 0.9257403674703465, 0.9256337700596946, 0.9254302659120862, 0.9253139778277386, 0.9252073804170866, 0.9251007830064346, 0.9249941855957826, 0.9248875881851306, 0.924771300100783, 0.924664702690131, 0.924558105279479, 0.924451507868827, 0.924344910458175, 0.924238313047523, 0.9241123342894798, 0.9240057368788278, 0.9238991394681758, 0.9237634700364369, 0.923656872625785, 0.923550275215133, 0.923443677804481, 0.9233273897201334, 0.9232111016357857, 0.9231045042251337, 0.9229882161407861, 0.9228525467090473, 0.9227459492983953, 0.9226393518877433, 0.9225133731296999, 0.9224067757190479, 0.9222904876347003, 0.9221838902240483, 0.9220772928133963, 0.9219706954027443, 0.9218447166447011, 0.9217381192340491, 0.9216315218233971, 0.9215249244127451, 0.9214086363283975, 0.9212923482440499, 0.9211760601597023, 0.9210403907279634, 0.9209241026436158, 0.9207981238855725, 0.9206624544538337, 0.9205558570431817, 0.9204201876114427, 0.9203135902007907, 0.9202069927901387, 0.9200907047057911, 0.9199841072951391, 0.9198678192107915, 0.9197418404527483, 0.9196255523684006, 0.9195189549577487, 0.9194123575470967, 0.9192863787890534, 0.9191700907047058, 0.9190538026203582, 0.9189472052097062, 0.9188406077990542, 0.9187340103884022, 0.9186177223040546, 0.9185111248934026, 0.9184045274827506, 0.9182979300720986, 0.9181913326614466, 0.9180847352507946, 0.9179587564927514, 0.9178424684084038, 0.9177164896503605, 0.9176098922397085, 0.9174839134816652, 0.9173773160710132, 0.9172610279866656, 0.9171544305760136, 0.917038142491666, 0.916931545081014, 0.916824947670362, 0.9166989689123188, 0.9165632994805799, 0.916427630048841, 0.9163016512907978, 0.9161950538801458, 0.9160884564694938, 0.9159818590588418, 0.9157589735638422, 0.9156329948057988, 0.915526397395147, 0.9154004186371036, 0.9152744398790604, 0.9151678424684084, 0.9150515543840608, 0.9149352662997131, 0.9147995968679743, 0.9146929994573223, 0.9145864020466703, 0.9144798046360183, 0.9143538258779751, 0.9142375377936274, 0.9141018683618886, 0.9139952709512366, 0.9138886735405846, 0.913772385456237, 0.9136560973718892, 0.9135398092875416, 0.9134332118768896, 0.9133266144662376, 0.91321032638189, 0.913103728971238, 0.912997131560586, 0.9128905341499342, 0.9127645553918908, 0.9126482673075432, 0.9125416698968912, 0.9124253818125436, 0.912309093728196, 0.9121928056438484, 0.9120862082331964, 0.9119602294751531, 0.9118536320645011, 0.9117179626327623, 0.9116016745484146, 0.9114950771377626, 0.9113884797271107, 0.911272191642763, 0.9111462128847198, 0.9110008527792852, 0.9108942553686332, 0.9107876579579812, 0.9106810605473292, 0.9105647724629816, 0.910448484378634, 0.9103321962942864, 0.9102159082099388, 0.9101093107992868, 0.9100027133886348, 0.9098767346305915, 0.9097507558725483, 0.909624777114505, 0.9094987983564617, 0.9093922009458097, 0.9092565315140708, 0.9091402434297232, 0.9089948833242887, 0.9088785952399411, 0.9087719978292891, 0.9086072563764633, 0.9084909682921156, 0.9083068454918986, 0.9082002480812466, 0.9080645786495077, 0.9079482905651601, 0.9077641677649431, 0.9076478796805953, 0.9074540662066827, 0.9073280874486395, 0.9072117993642919, 0.9070567485851616, 0.906940460500814, 0.9067563377005969, 0.9066303589425537, 0.9065237615319017, 0.9063784014264672, 0.9062718040158152, 0.9060779905419025, 0.9059713931312505, 0.9058551050469028, 0.9057388169625552, 0.9056225288782076, 0.9054868594464687, 0.9053705713621211, 0.9052155205829909, 0.9050023257616869, 0.9048278936351655, 0.9046825335297309, 0.9045177920769052, 0.904362741297775, 0.9042270718660361, 0.9040817117606016, 0.903965423676254, 0.903858826265602, 0.9036650127916893, 0.9034033646019072, 0.9030641910225599, 0.9028316148538647, 0.9027250174432127, 0.9025215132956043, 0.9023858438638654, 0.9022404837584309, 0.902104814326692, 0.9018140941158229, 0.9015233739049539, 0.9013973951469106, 0.9010194588727808, 0.9008062640514769, 0.9003604930614776, 0.900215132956043, 0.8999050313977828, 0.899633692534305, 0.8987518412280022, 0.8985580277540894, 0.8979378246375688, 0.897453290952787, 0.8962807194356152, 0.8954182494767036, 0.8931797038530118, 0.8912997131560586], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.2214101109294168, 0.23657111241744183, 0.2594017655802854, 0.2705600649778748, 0.2891737771275711, 0.3074886909704631, 0.33180954969119925, 0.3456423116072452, 0.35613835835773255, 0.37741016410097844, 0.4046888754672888, 0.4365133778196049, 0.44635236121030536, 0.4721416000958252, 0.4958219022320284, 0.5101215784285416, 0.5355122991521791, 0.5545720797535716, 0.5700673987210383, 0.5874252218251897, 0.5957092829802334, 0.6043534459862243, 0.6127806273603821, 0.6338610710371687, 0.6410205027366206, 0.6499136420207767, 0.6642111685142398, 0.6725402563259941, 0.6844932665226088, 0.6933675820749857, 0.7085601873017192, 0.7176153624876341, 0.7322574178027266, 0.752435542736049, 0.7552927445447427, 0.7681776856088782, 0.7834894308444594, 0.7889500374352602, 0.8014648797434107, 0.8072502350125208, 0.8116064052869034, 0.8181148453327568, 0.8230621107503404, 0.8320137497352688, 0.8380267821977156, 0.8430415903049515, 0.8512571695344805, 0.8541108954624548, 0.8596836946086605, 0.8673838780400754, 0.8702325224464738, 0.8755437347175153, 0.8798578955083598, 0.8849519910487376, 0.8863547504235632, 0.8891717080144353, 0.8929668963464283, 0.89537915836238, 0.898097586753567, 0.902220177154032, 0.9039216903256696, 0.906370870937625, 0.9093212475911784, 0.9111659469463295, 0.9129122134327154, 0.9150590940115674, 0.916202775254728, 0.9187222106981484, 0.9215235682620103, 0.9221999873230892, 0.9231780394716563, 0.9262355477526812, 0.9282803140129653, 0.9308188177204773, 0.9343148773681892, 0.9359315082350128, 0.9374251552165662, 0.9406245377902677, 0.9434264943157582, 0.9462194566137418, 0.9487724796656966, 0.9531418396513753, 0.9539233619436237, 0.9547784934928355, 0.9563364781353174, 0.957088252461918, 0.9573271802599359, 0.958198204992835, 0.9586548438826525, 0.9595105000755401, 0.9599232854969909, 0.9603819066975469, 0.9615504756495812, 0.9620196815714949, 0.9623894853547366, 0.9630788782352216, 0.963805672627862, 0.9647724033070417, 0.9649613110515409, 0.9656829166190966, 0.9661573611309439, 0.9666968325791855, 0.9678828635474793, 0.9684236650693954, 0.9688087938954627, 0.9692403248924988, 0.9698673628443832, 0.9704024803353046, 0.9709661974528392, 0.9713259245066105, 0.9717788705796643, 0.9728111174026124, 0.9734155453750925, 0.9738149461404672, 0.9739432152399993, 0.9742305214473216, 0.9746017086123298, 0.9749831552603715, 0.975506154764886, 0.9759541249036238, 0.9761021082972632, 0.9762972391780215, 0.9765772718502798, 0.9766595908915476, 0.9767702211027148, 0.9769844181421482, 0.9773216786593906, 0.9778192291336452, 0.9779870261700132, 0.9781830841537241, 0.978388731958364, 0.9787744751691364, 0.9788953966794133, 0.979082739386427, 0.979203595540445, 0.9794006220508299, 0.9797307121877453, 0.9801561514960477, 0.9802774544043461, 0.9804751183914292, 0.980691757351014, 0.9810135187631108, 0.9810781932977174, 0.9813335665422885, 0.98162711798501, 0.9818731705419572, 0.9820335982412964, 0.9821652704398844, 0.982316301703163, 0.9825628943064102, 0.9826758464879393, 0.982798422052306, 0.9830837141771338, 0.9831777158339994, 0.9835210374920774, 0.9835768203007665, 0.9839109393903914, 0.9839951595116572, 0.9841375203771854, 0.9842415129709727, 0.9845474613686535, 0.9846035111028615, 0.9847076871964745, 0.9848982464371591, 0.9849349887574543, 0.9850391621930829, 0.9852877880815433, 0.9854016026926803, 0.985554196231955, 0.9856780648256013, 0.9857826866022383, 0.9857906694347605, 0.9858567258908107, 0.9859421226904916, 0.9861908775506204, 0.986421169250076, 0.9864582618330866, 0.9866016693966828, 0.9866970136954047, 0.986792267687175, 0.9868777481155779, 0.9870313466390473, 0.9870588928382067, 0.9871156546759764, 0.9872015244231845, 0.9874131645917876, 0.9875670788040808, 0.9876142730757889, 0.9876904925769344, 0.9877565470512455, 0.9878329464531612, 0.9879481326984377, 0.987985712739474, 0.987994016690285, 0.9881094169873909, 0.9882054109400228, 0.9884571822524253, 0.9884754043458561, 0.9885519497152766, 0.9886091540621766, 0.9887442218038813, 0.9888502223054704, 0.9889269057455851, 0.9890134816611932, 0.9890218281171399, 0.9890889360232822, 0.989126788357178, 0.9891841749479439, 0.9892611090273802, 0.9893087721376532, 0.9893561350329289, 0.9893744136671111, 0.9894416624690114, 0.9894698369108887, 0.9896251210402546, 0.9897707056730579, 0.9898185125143332, 0.9898562474047417, 0.9900898049610317, 0.990196272407107, 0.9902832886417383, 0.9903704363488812, 0.9904477198261782, 0.9905447416882834, 0.9906319938206809, 0.9907192805213842, 0.9907967863051425, 0.9908743212714518, 0.9909027846595977, 0.9909705427585933, 0.9910776246654109, 0.991194494575888, 0.9912229373902867, 0.991231811464109, 0.9912898553600127, 0.9912987399543606, 0.9913370512235299, 0.9913951387992894, 0.9915120469368913, 0.9915504984312323, 0.9916086554980685, 0.9916766817969627, 0.9916751934673117, 0.9917038420649982, 0.9917127895306895, 0.9917513068712608, 0.9917996938552373, 0.9918480962322298, 0.9919260216764443, 0.9919744614833821, 0.9920130496623201, 0.9921107872300208, 0.992159281997194, 0.9922769163398953, 0.9922760707495993, 0.992275148076253, 0.9922841810778252, 0.9923623074395308, 0.992450424788104, 0.9925188026099517, 0.9925672040332384, 0.9926059531046029, 0.9926348206543947, 0.9927032765478124, 0.9927419194034017, 0.9928104184117107, 0.9928591375114693, 0.9928682572614108, 0.9928971888030965, 0.9928963384216303, 0.9929845920485391, 0.9930036428963521, 0.9930623490187467, 0.9931012449706977, 0.9931004872593657, 0.9931491800986678, 0.9931681981622054, 0.9931872896001278, 0.9931964633598082, 0.9932056393193649, 0.9932545194719538, 0.9932835597133519, 0.9933224706858462, 0.993341598016476, 0.9933507979042515, 0.9933898016940508, 0.9933990098514778, 0.9934479688703498, 0.9934869388612648, 0.9935458693563881, 0.9935550373787817, 0.9937134620004805, 0.9938321668519019, 0.9938314874526847, 0.9938805760871743, 0.9939197243341247, 0.9939389689234407, 0.9939383009207771, 0.9939375720226464, 0.9939767488474645, 0.9939760847557859, 0.9940053130168914, 0.9940046519088868, 0.9940437991336435, 0.9940630797773655, 0.9940823654490382, 0.9941315731396585, 0.9941308077413141, 0.9941600858928947, 0.9942291093759409, 0.9942283563362609, 0.994307457531826, 0.9943068287931883, 0.9943161848143722, 0.9943454025008788, 0.9943447777085803, 0.9943741209563994, 0.9943834900731452, 0.9943823612171886, 0.9944616992833378, 0.9944609755116812, 0.9944603072468431, 0.9945096935081651, 0.9945190876543707, 0.9945384870703962, 0.9945678416224046, 0.9945772465692785, 0.9945766463752075, 0.9946761402520027, 0.9946855624446412, 0.99469498691363, 0.9947144281011205, 0.9947238584302472, 0.994773255989607, 0.9948324317790336, 0.9948418295385856, 0.9948412578464266, 0.9948507109243528, 0.9948701926953156, 0.9948896280616873, 0.9949392100328649, 0.9949587118500519, 0.9949581018261755, 0.9949775097323356, 0.994976901817595, 0.9950466082886082, 0.9950861190430544, 0.9950855735852103, 0.9950849784021638, 0.9951346549844551, 0.9951642538413391, 0.9951838127644107, 0.9953340402969247, 0.995343481378976, 0.9953530190223157, 0.9953927294036817, 0.9954022756209454, 0.9954217451943485, 0.9954211436022359, 0.9954809685083152, 0.9954803745121433, 0.9955402289551394, 0.9955799652061335, 0.9955794286639152, 0.9956089318777381, 0.9956185175815836, 0.9956180298338292, 0.9956778751746057, 0.9956874734263327, 0.9957070681502931, 0.9957267553719343, 0.9958069580189396, 0.9958064483453704, 0.9958058960591633, 0.9958053861273785, 0.9958150092211662, 0.9958448191989622, 0.9958442716832727, 0.9958436818896041, 0.9958634114688945, 0.9958730480632731, 0.9959028862341034, 0.9959124887162375, 0.9959119911544821, 0.9959317425533641, 0.9959312059256253, 0.9959307517454132, 0.9959404051475663, 0.9959702795428247, 0.996000162429952, 0.9960098282093978, 0.9960194963444354, 0.9960291668359263, 0.9960286425270428, 0.9960281987729064, 0.9960276338514681, 0.9960373102481254, 0.9960368672960257, 0.996036424244888, 0.9960663136174668, 0.9960861255692909, 0.9960856878513985, 0.9960852500355887, 0.9961152015620551, 0.9961451616184218, 0.9961447302837031, 0.9961441811726166, 0.9961437496184449, 0.9961432002279481, 0.996142768454156, 0.9961422580513822, 0.9961722098361991, 0.9961818459502113, 0.9961915235942241, 0.9962012424890518, 0.9962414056531703, 0.9962510951284611, 0.9962608252674477, 0.9963111663643589, 0.996310715232058, 0.9963103015971706, 0.9963302004118331, 0.9963297888609092, 0.9963394987458449, 0.9963592975585878, 0.9963588891042051, 0.9963583691206023, 0.9963782901448683, 0.9963778836637451, 0.99640794334347, 0.996407356753557, 0.9964578101712909, 0.9964574123796592, 0.9964875379070218, 0.9964871074802144, 0.99649689009631, 0.9964964964964965, 0.9965877280807502, 0.9965975273321753, 0.9966073289868994, 0.9966476221624881, 0.9966472452213022, 0.9966569886317167, 0.9966566126476152, 0.9966664280674485, 0.9966762119042749, 0.9966758379445427, 0.9966754298924885, 0.9966750557567573, 0.9966848793664436, 0.9967048036185759, 0.9967044326404454, 0.9967244661903495, 0.9967342676672024, 0.9967645161620609, 0.9967845659163987, 0.9967841048750512, 0.9967837095915106, 0.9967833471628917, 0.9967930656448192, 0.9967927041705092, 0.99679230974195, 0.9968225984994465, 0.99683245858619, 0.996832101372756, 0.996831744078745, 0.996841608728645, 0.996841252422903, 0.9968612165350292, 0.9969222246160475, 0.9969525021291441, 0.9969520955625796, 0.9969722162350791, 0.9969717500205305, 0.9969714080386017, 0.9970017147727156, 0.9970013760808396, 0.9970009449077688, 0.9970005444217317, 0.9970718476127852, 0.9971124994862098, 0.9971326385891348, 0.9971323143970151, 0.9971319606492666, 0.997131606814233, 0.9971312233944105, 0.9971411529997326, 0.9971408001645583, 0.9971404766557977, 0.997170927421429, 0.9971808379290477, 0.997180431784972, 0.9971801125896652, 0.9971797642941691, 0.9971794449477065, 0.9971790964872544, 0.9971787769895285, 0.9971886971207315, 0.9971883786316776, 0.997188060070453, 0.9971877414370333, 0.9972181868760238, 0.9972281186241576, 0.9972278044004741, 0.9972274901055409, 0.997227175739334, 0.9972268613018288, 0.9972264896019136, 0.9972364581292471, 0.9972361446280139, 0.9972357740348416, 0.9972354603783705, 0.997235118126483, 0.9972348043211341, 0.9972344904445454, 0.9972341764966923, 0.9972338339268204, 0.9972334912720778, 0.9972331770973137, 0.9972431595250387, 0.9972428463738783, 0.9972425331515677, 0.9972421628879823, 0.9972521512763034, 0.9972621421413148, 0.9972618309568092, 0.9972718253968254, 0.9972818223159288, 0.9972918217150417, 0.9973018235950875, 0.9973015167336979, 0.9973012098025024, 0.9973009028014768, 0.9973005957305974, 0.9973105766744246, 0.9973205603029112, 0.9973305742369374, 0.9973508014860348, 0.9973504998861543, 0.9973497318674037, 0.9973494025801909, 0.9973594283939111, 0.9973591275800288, 0.9973587446268579, 0.997368720929028, 0.9973684210526316, 0.9973680665651197, 0.9973677119820922, 0.9973674118756672, 0.9973774502182002, 0.9973874910583771, 0.9973871930988719, 0.9973868950713938, 0.9974072844934871, 0.9974069886840986, 0.9974377327565639, 0.9974373871724109, 0.9974370680889036, 0.9974367755258761, 0.9974468085106383, 0.9974568706014242, 0.9975186877076412, 0.997518404302817, 0.9975181208332468, 0.9975385062783669, 0.9975382250290843, 0.9975379181383752, 0.9975375600024936, 0.9975372785369149, 0.9975369970069837, 0.9975367154126781, 0.9975363569267872, 0.9975775596772852, 0.9975772322217716, 0.9975769046777179, 0.9975766274558748, 0.9975867269984917, 0.997586400615884, 0.9975861243770224, 0.997585848074922, 0.997585571709561, 0.9975956784662302, 0.9975954031603272, 0.9975950777175101, 0.9975948022740051, 0.9976256925063524, 0.9976358106982169, 0.9976355398156346, 0.9976352196016335, 0.9976557127675092, 0.9976554196277848, 0.9976551508519619, 0.9977172757405824, 0.9977169901799303, 0.9977166569355242, 0.9977267513399654, 0.9977264194234701, 0.9977261585639335, 0.9977258976445307, 0.9977255892080251, 0.9977253281579331, 0.9977354788888193, 0.9977558816775567, 0.997755623988726, 0.9977553428061346, 0.9977759214785423, 0.9977755498464816, 0.9977752710409225, 0.9977750154077571, 0.9977745272176366, 0.9977742481556563, 0.9977739922873535, 0.9977841651424092, 0.9977839103529018, 0.9977836555047934, 0.997783377421817, 0.9977831224511137, 0.9977828674217467, 0.9977826123336959, 0.997782357186941, 0.9977821019814617, 0.9977818002992477, 0.9977815449655721, 0.9977812895731075, 0.9977809644430954, 0.997780708916944, 0.9977804533319374, 0.9977906453200424, 0.9977903676786294, 0.9977900899674274, 0.9977898353374953, 0.9978000104761406, 0.9977996877652162, 0.9977994341402074, 0.9977991804567224, 0.9978093391331692, 0.9978090865253579, 0.9978088108867501, 0.9978085581570918, 0.9978083053691276, 0.9978080525228371, 0.9978077536292691, 0.9978075006556517, 0.9978072476236439, 0.9978069945332256, 0.9978067183679467, 0.9978064421331039, 0.9978271138403401, 0.9978267944693494, 0.9978369978369979, 0.9978576604391796, 0.9978678262330897, 0.9978675798607098, 0.9978672662135045, 0.9978670197116799, 0.9978772593526692, 0.9978769916340858, 0.9978767461660553, 0.997907949790795, 0.9979076638383328, 0.9979073998128227, 0.9979071577308962, 0.9979174117003597, 0.9979171268974658, 0.9979168639333397, 0.9979271013089777, 0.9979268613522757, 0.997937124393504, 0.9979473900274733, 0.9979471307203992, 0.9979468929646865, 0.9979466551538956, 0.997946417288007, 0.9979461793670019, 0.997945941390861, 0.9979456600752205, 0.9979454003308432, 0.9979451188669701, 0.9979448806449913, 0.9979445990387048, 0.9979443606961765, 0.9979441006230957, 0.997943862164955, 0.9979436019657056, 0.9979433633918684, 0.9979431247626682, 0.9979428426749375, 0.997942538801608, 0.9979422348384919, 0.9979630176890277, 0.9979627811731425, 0.9979625446023267, 0.9979623079765613, 0.9979618130359481, 0.998003696857671, 0.9980456370166914, 0.9980453685800923, 0.9980556465503577, 0.9980554205153136, 0.9980551738716837, 0.9980549271654792, 0.9980546392624545, 0.9980544129931376, 0.9980541866711787, 0.9980539602965596, 0.998053692695001, 0.9980534456128473, 0.9980637174508787, 0.9980634920634921, 0.9980632666236281, 0.9980630206293595, 0.9980627745725931, 0.9980625284533048, 0.9980623027890133, 0.9980620770721479, 0.9980935434672089, 0.9980933213283195, 0.9980930991376571, 0.9980928768952035, 0.9980926141782346, 0.9980923716060112, 0.9981344667860891, 0.9981342294685734, 0.998133992090671, 0.9981337546523588, 0.9981335369474845, 0.9981438662735199, 0.998164826188885, 0.998175143760477, 0.9981855031249668, 0.9981852913085005, 0.9981956738627439, 0.9981954440269197, 0.9981951949720255, 0.9981949075155556, 0.9981946966559411, 0.998194485747058, 0.9981942747888894, 0.9982364627266836, 0.9982362378741354, 0.9982466207600103, 0.9982463971432215, 0.9982461921110533, 0.9982459870309344, 0.9982563579144339, 0.9982773471145564, 0.9982983430115074, 0.9982981077085084, 0.9983510112024852, 0.9983613883509608, 0.9983718034671009, 0.9983715435212976, 0.998371335504886, 0.9983711447764849, 0.9983708499265286, 0.9983706417328705, 0.9983703119840652, 0.9983701210158513, 0.9983805150388356, 0.9984015856270579, 0.9984225448189125, 0.9984223430337917, 0.9984220066105128, 0.99842178785843, 0.9984215858795926, 0.9984213164940426, 0.9984211143945294, 0.998420794297787, 0.9984205752094338, 0.998420389779495, 0.998420136850308, 0.998419951317419, 0.9984302753959017, 0.9984300909906446, 0.9984298897718533, 0.9984296885014742, 0.9984294871794872, 0.9984292522385827, 0.9984290508047107, 0.9984287821458346, 0.998428412589805, 0.998428110096452, 0.9984278579296921, 0.9984275720428727, 0.9984273028779288, 0.9984270672829995, 0.9984268147815198, 0.99842661272196, 0.9984371153002131, 0.9984367806246454, 0.9984363285851987, 0.998435742218889, 0.9984353398849011, 0.9984351554126474, 0.9984348031175291, 0.9984559793272788, 0.9984557309540151, 0.998455499066864, 0.9984550019312476, 0.9984545044754974, 0.9984542888118418, 0.9984536414595906, 0.998453276047261, 0.9984525114449674, 0.9984522619546642, 0.9984517294397196, 0.9984620017638581, 0.998492743637225, 0.9985246766672768, 0.9985344195870511, 0.9985336294826731, 0.9986071821892073, 0.9986382206082615, 0.9986348122866894, 0.99865362273206], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"method=BLAST<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"BLAST\\\", \\\"line\\\": {\\\"color\\\": \\\"#00cc96\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"BLAST\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [0.9878478951856733, 0.9877316071013257, 0.9875862469958911, 0.9873827428482828, 0.9872664547639352, 0.9871501666795875, 0.9870241879215443, 0.9869175905108923, 0.9867625397317622, 0.9866268703000233, 0.9864912008682843, 0.9862780060469803, 0.9861132645941546, 0.9859775951624157, 0.9858709977517637, 0.9857450189937205, 0.9855221334987209, 0.9853767733932863, 0.9852314132878518, 0.9850957438561129, 0.9849600744243739, 0.9847468796030701, 0.9846402821924181, 0.9845239941080703, 0.9844173966974185, 0.9843107992867665, 0.9840685324443755, 0.9839134816652454, 0.9837584308861153, 0.9835549267385069, 0.9834192573067679, 0.9832932785487247, 0.9831479184432902, 0.9830316303589426, 0.9828959609272037, 0.982702147453291, 0.9825277153267695, 0.9823339018528569, 0.9821594697263354, 0.9820431816419878, 0.9818978215365533, 0.9817815334522056, 0.9816361733467711, 0.9814811225676409, 0.9813745251569889, 0.98123885572525, 0.9811225676409024, 0.9809772075354679, 0.9808706101248159, 0.98070586867199, 0.9805605085665555, 0.9803473137452515, 0.980201953639817, 0.9800759748817738, 0.9799499961237306, 0.9797658733235135, 0.979591441196992, 0.9792813396387317, 0.9790972168385146, 0.9787968059539499, 0.9785254670904722, 0.9780700054267772, 0.9778568106054732, 0.9777114505000387, 0.9773141328785178, 0.9771493914256919, 0.9768005271726491, 0.9765873323513451, 0.9764710442669975, 0.9762772307930847, 0.9761318706876502, 0.9758314598030855, 0.9754922862237383, 0.9751240406233042, 0.9747945577176526, 0.9745813628963486, 0.9742421893170014, 0.9739708504535235, 0.9735929141793938, 0.9733118846422203, 0.9731665245367858, 0.9727788975889604, 0.9721877664935267, 0.97178075819831, 0.9710442669974416, 0.9707632374602683, 0.9705500426389643, 0.9702108690596171, 0.9696294286378789, 0.9692030389952709, 0.9686700519420111, 0.9683599503837507, 0.9675653151407085, 0.9674005736878828, 0.9668288239398403, 0.966625319792232, 0.9662570741917978, 0.9652783161485387, 0.9650263586324521, 0.9645030622528878, 0.9641929606946275, 0.9636405922939763, 0.9627393596402822, 0.9626327622296302, 0.9623420420187612, 0.9619059617024576, 0.9614311186913714, 0.960936894332894, 0.9605783394061556, 0.9602391658268082, 0.9598806109000698, 0.9594251492363749, 0.9588727808357237, 0.9584173191720289, 0.9579521668346384, 0.9575742305605086, 0.9572738196759438, 0.9568377393596402, 0.9565760911698581, 0.955597333126599, 0.9551903248313823, 0.9546282657570354, 0.9544247616094271, 0.9537464144507326, 0.9529323978602993, 0.9526222963020389, 0.9521862159857353, 0.9518179703853011, 0.9507423056050857, 0.9502480812466083, 0.9499282890146523, 0.9493565392666098, 0.9489592216450887, 0.9483293278548725, 0.9475637646329172, 0.9470210869059617, 0.9462070703155283, 0.9458291340413986, 0.9451217148616172, 0.9444918210714008, 0.9439200713233584, 0.9427765718272735, 0.9421176060159703, 0.9414586402046671, 0.9407802930459725, 0.9401116365609737, 0.9395011241181487, 0.9388906116753236, 0.9385029847274983, 0.9378246375688037, 0.9355376385766339, 0.9347333126598961, 0.9339580587642453, 0.9328533219629429, 0.9316129157299016, 0.9309442592449028, 0.9300817892859912, 0.9292387006744709, 0.9286378789053416, 0.9280176757888209, 0.9276203581672998, 0.9270582990929529, 0.9265059306923017, 0.9255077913016513, 0.9248100627955655, 0.9242480037212187, 0.9235212031940461, 0.9228913094038298, 0.9217284285603535, 0.9213311109388325, 0.9204686409799209, 0.9194898829366618, 0.9190441119466626, 0.9180459725560121, 0.9174160787657958, 0.9166020621753624, 0.9159334056903636, 0.9151193890999302, 0.9141503217303667, 0.9136076440034111, 0.9129583688658035, 0.9119699201488487, 0.9112043569268936, 0.9103225056205907, 0.9098670439568959, 0.9085684936816808, 0.9075897356384216, 0.9068920071323359, 0.9054480967516861, 0.9047988216140787, 0.9037716102023413, 0.9025990386851694, 0.9018625474843011, 0.9011648189782153, 0.9007287386619117, 0.8998275060082177, 0.8987712225753934, 0.8982673075432204, 0.8975308163423521, 0.8969590665943097, 0.8956314442980076, 0.8947108302969222, 0.8943232033490969, 0.8932475385688813, 0.8928405302736646, 0.8921524924412745, 0.8913481665245367, 0.8906019846499729, 0.8894100317854097, 0.8888382820373673, 0.8874815877199783, 0.886105512055198, 0.8856500503915032, 0.884351500116288, 0.8837894410419412, 0.8827816109775951, 0.8814927513760756, 0.8808047135436855, 0.8793801845104272, 0.8790313202573843, 0.8781591596247771, 0.8774905031397783, 0.8765311264439104, 0.8756783471586945, 0.8751841228002171, 0.8744282502519575, 0.8737595937669587, 0.8730231025660904, 0.8721606326071788, 0.8710462051321808, 0.8697476548569657, 0.8693212652143577, 0.8685460113187069, 0.8676350879913172, 0.8670924102643616, 0.8659586014419722, 0.8651542755252345, 0.8642142801767579, 0.8632452128071944, 0.8622955267850221, 0.8609000697728506, 0.8602217226141561, 0.8594173966974185, 0.8583708039382898, 0.8578184355376386, 0.8567621521048143, 0.8556961779982944, 0.8544266997441662, 0.8532832002480812, 0.8527792852159082, 0.8515970230250407, 0.8508120784556943, 0.8490871385378711, 0.8474591053570044, 0.8468776649352663, 0.845821381502442, 0.8450558182804868, 0.8441448949530972, 0.8419935653926661, 0.8411601674548415, 0.8399875959376696, 0.8391832700209318, 0.8375455461663694, 0.836227614543763, 0.8357043181641988, 0.8345898906892008, 0.8335917512985502, 0.8319152647492054, 0.8306070238002946, 0.8300352740522521, 0.8284072408713854, 0.8270020931855182, 0.8257713776261726, 0.8242887045507403, 0.8225540739592216, 0.8208775874098767, 0.8197437785874874, 0.8184839910070548, 0.8178831692379254, 0.8167202883944492, 0.8149468951081479, 0.813561128769672, 0.8120009303046748, 0.81101248158772, 0.8098108380494612, 0.8080762074579425, 0.8071265214357702, 0.8056826110551205, 0.8042774633692534, 0.8029207690518645, 0.8009051089231723, 0.7993061477633925, 0.7978622373827429, 0.7971838902240483, 0.796263276222963, 0.7946836964105745, 0.7937727730831847, 0.7924839134816652, 0.7917377316071014, 0.7907202108690596, 0.7893053725094968, 0.7886851693929762, 0.7869311574540662, 0.7857295139158075, 0.7840045739979843, 0.7826575703542911, 0.7807388169625552, 0.779575936119079, 0.7786262500969068, 0.7775796573377781, 0.7762907977362586, 0.7754670904721296, 0.7738002945964804, 0.7731413287851772, 0.7718040158151794, 0.7708640204667029, 0.7696429955810528, 0.7683735173269246, 0.7679665090317079, 0.7674625939995349, 0.7661737343980154, 0.7643712690906271, 0.7628595239941081, 0.7619776726878053, 0.7606209783704163, 0.7595453135902008, 0.757839755019769, 0.7565508954182495, 0.7555430653539034, 0.7538471974571672, 0.753188231645864, 0.7515795798123885, 0.7495639196836964, 0.7489243352197845, 0.7475094968602217, 0.7463078533219629, 0.7444763159934878, 0.7433425071710985, 0.7425672532754477, 0.7412783936739282, 0.7405515931467556, 0.7389817040080626, 0.7380223273121947, 0.7372858361113265, 0.7362780060469803, 0.7351345065508954, 0.7337487402124195, 0.7317621521048143, 0.7308706101248159, 0.7296689665865571, 0.7286708271959067, 0.7267714551515622, 0.7254535235289558, 0.7244069307698271, 0.7234669354213505, 0.7225657027676564, 0.7214706566400496, 0.7205694239863555, 0.7197263353748352, 0.7182145902783161, 0.7169644933715792, 0.7154139855802776, 0.7134564694937592, 0.711896271028762, 0.7101810217846345, 0.7095511279944182, 0.7080006202031165, 0.7063241336537716, 0.7053938289789906, 0.7040371346616017, 0.7033975501976898, 0.7025738429335607, 0.701662919606171, 0.7003643693309559, 0.6983874718970463, 0.6971761376850919, 0.6961392355996588, 0.695044189472052, 0.6937650205442283, 0.6922920381424916, 0.6910903946042329, 0.6899275137607567, 0.6890262811070625, 0.6878052562214125, 0.6859543375455461, 0.6848011473757656, 0.6832894022792465, 0.6823203349096829, 0.6811283820451198, 0.6801302426544693, 0.678066129157299, 0.6763702612605629, 0.6756337700596946, 0.6743352197844794, 0.6725715171718738, 0.6717478099077447, 0.6697999844949221, 0.668792154430576, 0.6674645321342739, 0.666321032638189, 0.6653616559423211, 0.6640437243197147, 0.6629680595394992, 0.6611946662531979, 0.6603128149468951, 0.6594309636405923, 0.6571924180169005, 0.6565237615319017, 0.654866656329948, 0.6534130552756028, 0.6525118226219087, 0.6512326536940848, 0.6502538956508257, 0.6486549344910458, 0.6474048375843089, 0.6464163888673541, 0.6447302116443135, 0.644080936506706, 0.642724242189317, 0.6415419799984495, 0.640146522986278, 0.6380242654469339, 0.6372296302038918, 0.6356403597178076, 0.6345259322428095, 0.6329657337778122, 0.6319288316923792, 0.6313667726180324, 0.6298840995426002, 0.6289344135204279, 0.6275195751608652, 0.625930304674781, 0.6253779362741297, 0.6232847507558725, 0.6228099077447864, 0.6216567175750058, 0.6204938367315296, 0.6195344600356617, 0.6179258082021862, 0.6168889061167533, 0.6153190169780604, 0.6133227381967594, 0.6120532599426313, 0.6099310024032871, 0.6091751298550275, 0.6076924567795953, 0.6059384448406854, 0.6052407163345995, 0.6034963950693852, 0.603050624079386, 0.6018005271726491, 0.5999108458020002, 0.5984960074424374, 0.59678075819831, 0.5961217923870068, 0.5942611830374448, 0.5928366540041864, 0.5918482052872316, 0.590481820296147, 0.589338320800062, 0.5877587409876734, 0.5865086440809365, 0.5852779285215908, 0.583465772540507, 0.5823610357392046, 0.5806457864950771, 0.5791243507248623, 0.5769924025118226, 0.5753934413520428, 0.5743371579192186, 0.5725540739592216, 0.5711295449259632, 0.570286456314443, 0.5686681138072719, 0.5678928599116211, 0.5670013179316226, 0.5663423521203194, 0.565237615319017, 0.5641134971703233, 0.5625629893790216, 0.5611966043879371, 0.5603825877975037, 0.5590355841538104, 0.5576982711838127, 0.5567485851616404, 0.5547232343592526, 0.554180556632297, 0.5531339638731685, 0.551312117218389, 0.5504690286068687, 0.549344910458175, 0.548656872625785, 0.5475618264981782, 0.5464958523916583, 0.5457884332118769, 0.5448387471897046, 0.5437243197147066, 0.5423870067447089, 0.5410787657957982, 0.5404294906581906, 0.5391115590355842, 0.5379777502131948, 0.5365144584851539, 0.5352934335995039, 0.5344891076827661, 0.5331033413442903, 0.5321148926273355, 0.5311748972788588, 0.5295662454453833, 0.5287037754864718, 0.5270466702845181, 0.5260194588727808, 0.5251763702612605, 0.5235095743856113, 0.522773083184743, 0.5206023722769207, 0.5183056826110551, 0.5173075432204047, 0.5161155903558415, 0.5155341499341034, 0.5141677649430189, 0.5134022017210637, 0.5120745794247616, 0.5108438638654159, 0.5100298472749826, 0.5089348011473758, 0.5080044964725948, 0.5063958446391194, 0.5057465695015118, 0.5050876036902086, 0.5037406000465152, 0.5030719435615164, 0.5017927746336925, 0.5007655632219552, 0.4995348476626095, 0.49842042018761146, 0.4967439336382665, 0.49584270098457245, 0.4947573455306613, 0.49309054965501203, 0.4920439568958834, 0.490726025273277, 0.4888169625552368, 0.4878866578804559, 0.48659779827893634, 0.48509574385611287, 0.48429141793937514, 0.48310915574850766, 0.4820044189472052, 0.4805508178928599, 0.47876773393286304, 0.47774052252112564, 0.47546321420265136, 0.47359291417939375, 0.4725366307465695, 0.4710539576711373, 0.4702690131017908, 0.4689510814791844, 0.4680401581517947, 0.467022637413753, 0.4658500658965811, 0.46532676951701685, 0.4631269865881076, 0.4625455461663695, 0.4614795720598496, 0.46042328862702536, 0.4598127761842003, 0.458572369951159, 0.4578746414450733, 0.4567795953174665, 0.4556845491898597, 0.45468640979920927, 0.45342662221877666, 0.4526416776494302, 0.45145941545856266, 0.4504903480889991, 0.4490658190557408, 0.4472924257694395, 0.4458678967361811, 0.4442689355764013, 0.44362935111248936, 0.442388944879448, 0.44100317854097215, 0.4400922552135825, 0.4387355608961935, 0.437446701294674, 0.436409799209241, 0.4349561981548957, 0.43416156291185365, 0.43245600434142184, 0.43041127219164277, 0.4293452980851229, 0.4281339638731685, 0.4276397395146911, 0.42601170633382435, 0.42519768974339095, 0.4243933638266532, 0.42327893635165514, 0.42172842856035353, 0.42061400108535546, 0.4199162725792697, 0.4178327777347081, 0.41693154508101404, 0.41586557097449417, 0.41474145282580044, 0.41408248701449724, 0.4122315683386309, 0.4106810605473292, 0.40933405690363595, 0.4081421040390728, 0.40746375688037834, 0.40634932940538027, 0.4052833552988604, 0.4044015039925576, 0.40349058066516785, 0.4025893480114738, 0.4014361578416932, 0.4001279168927824, 0.3990134894177843, 0.39783122722691683, 0.3966974184045275, 0.3954860841925731, 0.3945945422125746, 0.3940712458330103, 0.392724242189317, 0.39210403907279634, 0.39099930227149393, 0.39017559500736493, 0.3890224048375843, 0.3866094270873711, 0.3856888130862858, 0.38351810217846344, 0.38280099232498643, 0.3810566710597721, 0.3799519342584696, 0.37899255756260175, 0.37800410884564695, 0.3767733932863013, 0.375823707264129, 0.37487402124195673, 0.37392433521978446, 0.37298433987130786, 0.3719765098069618, 0.37046476471044265, 0.3696604387937049, 0.3687979688347934, 0.36782890146522984, 0.36742189317001317, 0.3660748895263199, 0.3649701527250174, 0.36450500038762695, 0.36346809830219395, 0.3627606791224126, 0.36176253973176214, 0.36055120551980774, 0.3599697650980696, 0.35906853244437553, 0.357595550042639, 0.3565877199782929, 0.3554636018295992, 0.354698038607644, 0.35356422978525465, 0.35294402666873403, 0.35161640437243197, 0.35052135824482517, 0.3494941468330878, 0.34827312194743776, 0.34782735095743855, 0.34688735560896194, 0.34551127994418174, 0.34447437785874874, 0.3431273742150554, 0.342022637413753, 0.3406368710752771, 0.33929955810527945, 0.3385921389254981, 0.33758430886115204, 0.33687688968137064, 0.3359078223118071, 0.33548143266919916, 0.33470617877354836, 0.33389216218311496, 0.333145980308551, 0.33240948910768275, 0.3319927901387704, 0.3310431041165982, 0.3302290875261648, 0.3295701217148616, 0.32800992324986433, 0.32738002945964806, 0.32614931390030233, 0.3251608651833475, 0.32451159004574, 0.3234553066129157, 0.3230192262966121, 0.32211799364291804, 0.3215850065896581, 0.32106171021009383, 0.3202670749670517, 0.31901697806031476, 0.3178540972168385, 0.31693348321575315, 0.31600317854097215, 0.3152473059927126, 0.3148596790448872, 0.31380339561206294, 0.3128343282424994, 0.31221412512597874, 0.3104504225133731, 0.3098108380494612, 0.3081924955422901, 0.3072234281727266, 0.3066032250562059, 0.3054209628653384, 0.30477168772773083, 0.3042871540429491, 0.3032502519575161, 0.3028432436622994, 0.3018644856190402, 0.30124428250251956, 0.3006046980386076, 0.299558105279479, 0.299054190247306, 0.29819172028839447, 0.29753275447709127, 0.2968640979920924, 0.2958756492751376, 0.295546166369486, 0.2944801922629661, 0.293898751841228, 0.2922804093340569, 0.29170865958601444, 0.2906911388479727, 0.2891987750988449, 0.2885398092875417, 0.2877548647181952, 0.2866598185905884, 0.28515776416776495, 0.28438251027211414, 0.2836557097449415, 0.28286107450189935, 0.2824540662066827, 0.28146561748972787, 0.28050624079386, 0.2799054190247306, 0.279072021086906, 0.2785681060547329, 0.2776474920536476, 0.2768625474843011, 0.2762520350414761, 0.27530234901930384, 0.27445926040778357, 0.2736743158384371, 0.2728506085743081, 0.2724726723001783, 0.27156174897278856, 0.271125668656485, 0.2704279401503993, 0.2695557795177921, 0.2692166059384448, 0.2682669199162726, 0.2673366152414916, 0.26633847585084114, 0.26572796340801613, 0.2653694084812776, 0.26466198930149626, 0.26409023955345373, 0.2633634390262811, 0.2626463291728041, 0.26220055818280485, 0.2611733467710675, 0.2606403597178076, 0.2601267540119389, 0.259273974726723, 0.25877005969454997, 0.2577137762617257, 0.2569966664082487, 0.2557368788278161, 0.2548937902162958, 0.2538665788045585, 0.25288782076129934, 0.25233545236064814, 0.2517830839599969, 0.25163772385456235, 0.2509593766958679, 0.2500581440421738, 0.24960268237847896, 0.2488758818513063, 0.24819753469261183, 0.2470927978913094, 0.24645321342739748, 0.24589115435305062, 0.24505775641522598, 0.2446022947515311, 0.24365260872935887, 0.24281921079153423, 0.24233467710675247, 0.2410555081789286, 0.24048375843088612, 0.24015427552523452, 0.239078610745019, 0.2386134584076285, 0.23817737809132491, 0.23734398015350028, 0.23650089154198, 0.2360066671835026, 0.23547368013024264, 0.23512481587719977, 0.2344755407395922, 0.23379719358089773, 0.23348709202263743, 0.23306070238002946, 0.23220792309481356, 0.231558647957206, 0.2311225676409024, 0.23017288161873015, 0.2297271106287309, 0.2290390727963408, 0.2284673230482983, 0.22771145050003877, 0.2267617644778665, 0.22614156136134583, 0.22512404062330413, 0.22490115512830453, 0.2239902318009148, 0.22270137219939531, 0.22188735560896194, 0.22112179238700674, 0.22038530118613847, 0.2190286068687495, 0.2185053104891852, 0.21750717109853476, 0.2169354213504923, 0.2163345995813629, 0.21532676951701682, 0.21486161717962632, 0.21389254981006278, 0.21331110938832468, 0.21277812233506474, 0.21196410574463137, 0.21174122024963177, 0.21133421195441507, 0.21106287309093727, 0.21069462749050313, 0.20976432281572216, 0.20937669586789673, 0.20856267927746336, 0.20734165439181332, 0.20697340879137918, 0.20622722691681525, 0.20603341344290255, 0.20469610047290487, 0.20363981704008063, 0.20317466470269013, 0.2029420885339949, 0.20282580044964726, 0.20221528800682223, 0.20149817815334523, 0.20128498333204126, 0.2007229242576944, 0.20030622528878209, 0.19908520040313202, 0.19870726412900225, 0.19839716257074191, 0.1978447941700907, 0.19728273509574384, 0.19640088378944104, 0.19605201953639817, 0.1955965578727033, 0.19469532521900923, 0.19431738894487946, 0.1937262578494457, 0.1929316226064036, 0.19204008062640515, 0.1911776106674936, 0.19078029304597255, 0.1905477168772773, 0.19019885262423444, 0.18980153500271338, 0.18924916660206217, 0.1885998914644546, 0.18806690441119467, 0.1868652608729359, 0.18644856190402356, 0.18616753236685013, 0.1858283587875029, 0.185082176912939, 0.18468485929141795, 0.1841228002170711, 0.18327002093185518, 0.1830568261105512, 0.18213621210946584, 0.1814966276455539, 0.18106054732925034, 0.18048879758120784, 0.18010117063338243, 0.17928715404294907, 0.1787154042949066, 0.17839561206295063, 0.17785293433599503, 0.17746530738816962, 0.17700984572447476, 0.17670943483991006, 0.17609892239708505, 0.17572098612295528, 0.17541088456469495, 0.17506202031165208, 0.1748294441429568, 0.17453872393208775, 0.1739185208155671, 0.17359872858361114, 0.173017288161873, 0.1726878052562214, 0.1722711062873091, 0.17140863632839756, 0.17082719590665943, 0.17047833165361656, 0.17009070470579116, 0.1695770989999225, 0.16896658655709745, 0.16868555701992402, 0.16813318861927282, 0.16791030312427319, 0.1673094813551438, 0.16639855802775408, 0.1660206217536243, 0.16538103728971237, 0.16487712225753934, 0.16433444453058377, 0.1639855802775409, 0.16363671602449803, 0.16328785177145516, 0.16278393673928213, 0.1624738351810218, 0.16158229320102332, 0.1612140476005892, 0.1607198232421118, 0.16050662842080782, 0.16004147608341732, 0.15977013721993952, 0.15927591286146212, 0.15900457399798434, 0.1587526164818978, 0.1580936506705946, 0.15793859989146444, 0.1575703542910303, 0.1572408713853787, 0.15706643925885727, 0.1563590200790759, 0.15584541437320723, 0.15555469416233816, 0.1552058299092953, 0.15461469881386153, 0.1539944956973409, 0.15374253818125436, 0.15302542832777735, 0.15257965733777812, 0.15208543297930072, 0.15172687805256221, 0.15130048840995425, 0.1507965733777812, 0.15014729824017364, 0.14995348476626094, 0.14965307388169627, 0.14940111636560974, 0.14888751065974107, 0.14847081169082874, 0.14818978215365533, 0.14764710442669973, 0.14724009613148306, 0.1466974184045275, 0.14608690596170246, 0.1455442282347469, 0.14514691061322582, 0.1448368090549655, 0.14414877122257538, 0.14350918675866345, 0.14332506395844638, 0.14282114892627334, 0.14254981006279557, 0.1420362043569269, 0.14164857740910147, 0.14114466237692844, 0.1405535312814947, 0.14018528568106053, 0.13999147220714783, 0.13979765873323513, 0.13952631986975736, 0.1392937437010621, 0.13875106597410652, 0.1385281804791069, 0.13803395612062952, 0.1378110706256299, 0.13736529963563066, 0.13700674470889215, 0.13681293123497945, 0.13600860531824172, 0.13483603380106984, 0.13461314830607024, 0.13434180944259244, 0.1340801612528103, 0.13338243274672454, 0.13281068299868207, 0.13260717885107373, 0.13220017055585703, 0.13197728506085743, 0.13175439956585783, 0.13128924722846733, 0.13095976432281572, 0.1307078068067292, 0.13055275602759903, 0.13028141716412125, 0.1300972943639042, 0.12962245135281805, 0.12923482440499265, 0.12908946429955812, 0.12870183735173268, 0.12846926118303745, 0.12819792231955965, 0.12778122335064734, 0.12749050313977828, 0.1273063803395612, 0.12680246530738817, 0.12668617722304054, 0.1263760756647802, 0.1261822621908675, 0.12594968602217227, 0.1257946352430421, 0.12561051244282503, 0.12545546166369487, 0.12526164818978217, 0.12504845336847817, 0.12493216528413055, 0.12470927978913093, 0.12416660206217536, 0.12393402589348011, 0.12374990309326304, 0.12355608961935034, 0.12324598806109001, 0.12313939065043802, 0.12290681448174277, 0.12264516629196062, 0.12241259012326537, 0.12211217923870067, 0.12161795488022327, 0.12119156523761532, 0.12094929839522443, 0.1208039382897899, 0.12056167144739903, 0.12038723932087758, 0.12027095123652996, 0.1201159004573998, 0.11980579889913946, 0.11943755329870533, 0.11920497713001008, 0.11901116365609737, 0.11889487557174974, 0.11858477401348942, 0.11842972323435925, 0.11811962167609892, 0.11788704550740367, 0.11726684239088302, 0.11669509264284053, 0.1161911776106675, 0.11591983874718971, 0.11564849988371191, 0.11486355531436546, 0.1146309791456702, 0.11447592836654004, 0.1141658268082797, 0.11404953872393209, 0.11336150089154198, 0.11325490348088998, 0.11307078068067292, 0.11263470036436933, 0.11241181486936971, 0.11185944646871851, 0.11154934491045818, 0.11121017133111094, 0.11097759516241569, 0.11071594697263354, 0.11014419722459105, 0.1099116210558958, 0.10970811690828747, 0.10954337545546167, 0.10942708737111403, 0.10912667648654935, 0.10893286301263663, 0.10824482518024653, 0.10805101170633383, 0.10737266454763936, 0.1071400883789441, 0.1067815334522056, 0.10635514380959764, 0.10600627955655477, 0.10588999147220715, 0.10572525001938135, 0.1054926738506861, 0.10523102566090395, 0.1048627800604698, 0.1044751531126444, 0.10425226761764478, 0.10382587797503683, 0.10367082719590666, 0.10332196294286379, 0.10301186138460346, 0.1027792852159082, 0.10266299713156059, 0.10247887433134352, 0.10226567951003954, 0.10205248468873557, 0.10182959919373595, 0.10171331110938832, 0.10155826033025817, 0.101296612140476, 0.10118032405612838, 0.10081207845569425, 0.10054073959221645, 0.10038568881308628, 0.09987208310721761, 0.09963950693852236, 0.09934878672765331, 0.09924218931700132, 0.09853477013721994, 0.09830219396852469, 0.09810838049461199, 0.09797271106287309, 0.09765291883091713, 0.09743003333591752, 0.09692611830374448, 0.09670323280874486, 0.09659663539809288, 0.09644158461896271, 0.09629622451352818, 0.09590859756570277, 0.09537561051244282, 0.0952593224280952, 0.0949879835646174, 0.0947941700907047, 0.09464880998527017, 0.09444530583766184, 0.09425149236374913, 0.09391231878440189, 0.09358283587875028, 0.09346654779440267, 0.09324366229940305, 0.09304984882549035, 0.09287541669896891, 0.09264284053027366, 0.0924877897511435, 0.09192573067679666, 0.09160593844484069, 0.09146057833940616, 0.0910632607178851, 0.0908694472439724, 0.09068532444375534, 0.09030738816962555, 0.09009419334832157, 0.08998759593766958, 0.08983254515853942, 0.08963873168462672, 0.08948368090549655, 0.08937708349484456, 0.0892220327157144, 0.08911543530506241, 0.08893131250484533, 0.08880533374680208, 0.08865028296767191, 0.08845646949375921, 0.08822389332506396, 0.08807853321962943, 0.08787502907202109, 0.08770059694549966, 0.08755523684006512, 0.08731296999767424, 0.08719668191332662, 0.08709008450267462, 0.0868090549655012, 0.08649895340724087, 0.08639235599658888, 0.08623730521745872, 0.08609194511202418, 0.08593689433289402, 0.08583029692224203, 0.08569462749050313, 0.08553957671137298, 0.08542328862702535, 0.08531669121637336, 0.08491937359485231, 0.08464803473137453, 0.08445422125746183, 0.08422164508876658, 0.08410535700441894, 0.08376618342507171, 0.08363051399333282, 0.08344639119311574, 0.08328164974028994, 0.08302000155050779, 0.08279711605550819, 0.08265175595007365, 0.0824191797813784, 0.08205093418094427, 0.08175052329637957, 0.0815664004961625, 0.08137258702224978, 0.08114001085355455, 0.08102372276920691, 0.08086867199007675, 0.08050042638964261, 0.08037444763159934, 0.08008372742073029, 0.07985115125203504, 0.07972517249399179, 0.07939568958834019, 0.07924063880921002, 0.07887239320877587, 0.07863012636638499, 0.07840724087138538, 0.07829095278703775, 0.0780293045972556, 0.07791301651290798, 0.07779672842856035, 0.07766105899682146, 0.07755446158616947, 0.07732188541747423, 0.07702147453290953, 0.07675013566943174, 0.07645941545856268, 0.07626560198464997, 0.0757519962787813, 0.0754806574153035, 0.0752868439413908, 0.0750930304674781, 0.07497674238313047, 0.07477323823552214, 0.0746278781300876, 0.07442437398247927, 0.07424025118226218, 0.07404643770834948, 0.07393014962400186, 0.0737750988448717, 0.07349406930769826, 0.07322273044422048, 0.07306767966509031, 0.07279634080161253, 0.07264129002248236, 0.07244747654856966, 0.07209861229552679, 0.07182727343204899, 0.07159469726335375, 0.07140088378944104, 0.07124583301031087, 0.07113923559965889, 0.07101325684161564, 0.07090665943096364, 0.07069346460965967, 0.0705384138305295, 0.07009264284053027, 0.06998604542987828, 0.06979223195596558, 0.06949182107140088, 0.06933677029227071, 0.0690266687340104, 0.06879409256531514, 0.06856151639661989, 0.06832894022792464, 0.06819327079618576, 0.06807698271183812, 0.0678250251957516, 0.06766997441662144, 0.06739863555314365, 0.06720482207923095, 0.06703038995270952, 0.06691410186836189, 0.06678812311031863, 0.06663307233118847, 0.06651678424684083, 0.06641018683618885, 0.06626482673075432, 0.06610977595162415, 0.06587719978292891, 0.06576091169858128, 0.06552833552988603, 0.06538297542445151, 0.06523761531901698, 0.06508256453988681, 0.06492751376075664, 0.06481122567640903, 0.06461741220249632, 0.06438483603380107, 0.06400689975967129, 0.0638712303279324, 0.0635417474222808, 0.06330917125358555, 0.06316381114815102, 0.06301845104271649, 0.06281494689510815, 0.06262113342119544, 0.06238855725250019, 0.06219474377858749, 0.06203969299945732, 0.06182649817815335, 0.06163268470424064, 0.06150670594619738, 0.06134196449337158, 0.061206295061632686, 0.060944646871850534, 0.060712070703155284, 0.06055701992402512, 0.06044073183967749, 0.060256609039460424, 0.06010155826033026, 0.05995619815489573, 0.05979145670206993, 0.05952011783859214, 0.05893867741685402, 0.05878362663772385, 0.058580122490115516, 0.05842507171098535, 0.058250639584463915, 0.058114970152725015, 0.05797930072098612, 0.057727343204899605, 0.057601364446856346, 0.05740755097294364, 0.05709744941468331, 0.05694239863555314, 0.05670982246685789, 0.056525699666640825, 0.056341576866423757, 0.05619621676098922, 0.055944259244902705, 0.05582797116055508, 0.055614776339251104, 0.05545972556012094, 0.055294984107295136, 0.05500426389642608, 0.05488797581207846, 0.054684471664470116, 0.05408364989534072, 0.053928599116210556, 0.05382200170555857, 0.053666950926428404, 0.05351190014729824, 0.05339561206295062, 0.05324056128382045, 0.053085510504690285, 0.0529789130940383, 0.05280448096751686, 0.05260097681990852, 0.0524846887355609, 0.05236840065121327, 0.05212613380882239, 0.0520195363981704, 0.05186448561904024, 0.05174819753469261, 0.05163190945034499, 0.051467167997519186, 0.05131211721838902, 0.0511958291340414, 0.05108923172338941, 0.050972943639041784, 0.05077913016512908, 0.05066284208078146, 0.050517481975346924, 0.05028490580665168, 0.05011047368013024, 0.04999418559578262, 0.04984882549034809, 0.04973253740600046, 0.049490270563609585, 0.04934491045817505, 0.04923831304752306, 0.04900573687882782, 0.04888944879448019, 0.04877316071013257, 0.04865687262578494, 0.04848244049926351, 0.04819172028839445, 0.04803666950926428, 0.04788161873013412, 0.047726567951003954, 0.0474939917823087, 0.047377703697961085, 0.047212962245135284, 0.04705791146600512, 0.04689317001317932, 0.046631521823397165, 0.04648616171796263, 0.04635049228622374, 0.046234204201876114, 0.04611791611752849, 0.046011318706876504, 0.04589503062252888, 0.0456818358012249, 0.045555857043181644, 0.04540080626405148, 0.04524575548492131, 0.04508101403209551, 0.044974416621443525, 0.0446933870842701, 0.044509264284053024, 0.044392976199705406, 0.04427668811535778, 0.04415070935731452, 0.04395689588340181, 0.043801845104271646, 0.04368555701992403, 0.043578959609272036, 0.04346267152492441, 0.04333669276688115, 0.04301690053492519, 0.04285215908209939, 0.04271648965036049, 0.04256143887123033, 0.04236762539731762, 0.04218350259710055, 0.04202845181797039, 0.04183463834405768, 0.04166989689123188, 0.041534227459492985, 0.04137917668036282, 0.04089464299558105, 0.040749282890146524, 0.04060392278471199, 0.04048763470036437, 0.04031320257384293, 0.04014846112101713, 0.04001279168927824, 0.03986743158384371, 0.03969299945732227, 0.039363516551670676, 0.03921815644623614, 0.03905341499341034, 0.03888867354058454, 0.0386851693929762, 0.03849135591906349, 0.03837506783471587, 0.038258779750368246, 0.03814249166602062, 0.03800682223428173, 0.03781300876036902, 0.037696720676021395, 0.03759012326536941, 0.03736723777036979, 0.037250949686022175, 0.037057136212109466, 0.03694084812776184, 0.036785797348631674, 0.03667919993797969, 0.03655322117993643, 0.03638847972711063, 0.036272191642763005, 0.03615590355841538, 0.036049306147763395, 0.035913636716024495, 0.03567136987363362, 0.03553570044189472, 0.03541941235754709, 0.035196526862547484, 0.03504147608341732, 0.034905806651678424, 0.0347895185673308, 0.03463446778820064, 0.03436312892472285, 0.03424684084037522, 0.03408209938754942, 0.03392704860841926, 0.03382045119776727, 0.03371385378711528, 0.03355880300798512, 0.03344251492363749, 0.03329715481820296, 0.0331711760601597, 0.032928909217768816, 0.03272540507016048, 0.03261880765950849, 0.032483138227769597, 0.032376540817117605, 0.03224087138537871, 0.03213427397472672, 0.03197922319559656, 0.03184355376385766, 0.03172726567951004, 0.03161097759516242, 0.03145592681603225, 0.031203969299945733, 0.031077990541902474, 0.030922939762772307, 0.03069036359407706, 0.030583766183425072, 0.030389952709512367, 0.0302349019303822, 0.030079851151252036, 0.029973253740600045, 0.029856965656252423, 0.029750368245600435, 0.02936274129777502, 0.029236762539731762, 0.0290817117606016, 0.028965423676253974, 0.02877161020234127, 0.028655322117993643, 0.028519652686254747, 0.028403364601907125, 0.028277385843863866, 0.028151407085820607, 0.027792852159082098, 0.02766687340103884, 0.027550585316691217, 0.02744398790603923, 0.027288937126909062, 0.02717264904256144, 0.026969144894953098, 0.02681409411582293, 0.02669780603147531, 0.026542755252345143, 0.026378013799519342, 0.02626172571517172, 0.02615512830451973, 0.02595162415691139, 0.0258450267462594, 0.02571904798821614, 0.025544615861694705, 0.025360493061477633, 0.02524420497713001, 0.025089154197999845, 0.024837196681913327, 0.02473059927126134, 0.024507713776261725, 0.024352662997131562, 0.024110396154740678, 0.02400379874408869, 0.023887510659741065, 0.0237324598806109, 0.023606481122567642, 0.023461121017133112, 0.023267307543220404, 0.023102566090394603, 0.022995968679742615, 0.022879680595394993, 0.022763392511047368, 0.022647104426699743, 0.022540507016047755, 0.022414528258004496, 0.022269168152569966, 0.022162570741917978, 0.022046282657570353, 0.021842778509962014, 0.021736181099310026, 0.021629583688658034, 0.021513295604310412, 0.021367935498875883, 0.021261338088223895, 0.021106287309093728, 0.020989999224746106, 0.020776804403442126, 0.020650825645398867, 0.020534537561051246, 0.020360105434529808, 0.02025350802387782, 0.02010814791844329, 0.019991859834095665, 0.019875571749748043, 0.019759283665400418, 0.01963330490735716, 0.019517016823009537, 0.019400728738661912, 0.019274749980618653, 0.019168152569966665, 0.01888712303279324, 0.018770834948445617, 0.018664237537793626, 0.018509186758663462, 0.018402589348011474, 0.018276610589968215, 0.01816032250562059, 0.01804403442127297, 0.017927746336925343, 0.017801767578882084, 0.017646716799751917, 0.017530428715404296, 0.0173947592836654, 0.017278471199317778, 0.017162183114970152, 0.017055585704318164, 0.016890844251492364, 0.016784246840840376, 0.016619505388014575, 0.016512907977362587, 0.01635785719823242, 0.016125281029537173, 0.015979920924102643, 0.015815179471276843, 0.015708582060624855, 0.015592293976277231, 0.015446933870842701, 0.0152821924180169, 0.0151174509651911, 0.015001162880843476, 0.014846112101713311, 0.014729824017365688, 0.014613535933018064, 0.014497247848670439, 0.014380959764322816, 0.014254981006279557, 0.014138692921931933, 0.013964260795410497, 0.013760756647802155, 0.01358632452128072, 0.013470036436933095, 0.013353748352585472, 0.013237460268237848, 0.012811070625629894, 0.012646329172804094, 0.01253004108845647, 0.012394371656717576, 0.012181176835413598, 0.012064888751065974, 0.011958291340413986, 0.011842003256066361, 0.011725715171718738, 0.011541592371501666, 0.011425304287154043, 0.011309016202806419, 0.011192728118458796, 0.011076440034111172, 0.010960151949763547, 0.010843863865415923, 0.010708194433677029, 0.010591906349329406, 0.010398092875416699, 0.010213970075199627, 0.010068609969765097, 0.009923249864330567, 0.009806961779982944, 0.009632529653461508, 0.00952593224280952, 0.009409644158461896, 0.009293356074114273, 0.00917706798976665, 0.00907047057911466, 0.008866966431506319, 0.00876036902085433, 0.008595627568028529, 0.00843088611520273, 0.00832428870455074, 0.008169237925420575, 0.00803356849368168, 0.007859136367160244, 0.007665322893247539, 0.0075490348088999145, 0.0074424373982479265, 0.007326149313900302, 0.007180789208465772, 0.006967594387161795, 0.006860996976509807, 0.006754399565857818, 0.006618730134118924, 0.0065024420497713, 0.006386153965423676, 0.006250484533684782, 0.006143887123032793, 0.005979145670206993, 0.005862857585859369, 0.005746569501511745, 0.005552756027599038, 0.005436467943251415, 0.005262035816729979, 0.0051069850375998135, 0.0050003876269478255, 0.004893790216295837, 0.0047871928056438485, 0.004651523373904954, 0.004360803163035895, 0.004157299015427552, 0.003953794867819211, 0.0038181254360803163, 0.0036049306147763393, 0.003469261183037445, 0.0033045197302116443, 0.0031010155826033028, 0.002965346150864408, 0.002752151329560431, 0.0026164818978215367, 0.002383905729126289, 0.0022191642763004886, 0.0020156601286921466, 0.0018509186758663462, 0.0016571052019536399, 0.0014923637491278394, 0.001327622296302039, 0.0011628808434762385, 0.000998139390650438, 0.0008333979378246375, 0.0006686564849988371, 0.0005039150321730367, 0.00035855492673850687, 0.00019381347391270642, 2.9072021086905963e-05], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.9584873017216251, 0.9715195302819453, 0.9774229127703448, 0.9784132593289673, 0.9804823590553, 0.9808766321303394, 0.9813089514707157, 0.9814677396039126, 0.9815405673745192, 0.9817462995998264, 0.9818669341615386, 0.9819483438980385, 0.9820685794802011, 0.9822462928637627, 0.982538486797628, 0.9827166457347116, 0.9828267697511476, 0.9828622796164553, 0.9828978025271421, 0.9830285565086211, 0.983425735102029, 0.9835269066976384, 0.9836013204131615, 0.9836470314859997, 0.9836643394563818, 0.9837102319500266, 0.9838397147729034, 0.9839993022106355, 0.9840158968642466, 0.9841939393939394, 0.9842777055731218, 0.9842757229190311, 0.9842829839046113, 0.984357563583787, 0.9844032067084652, 0.9844766324291789, 0.9845025974656504, 0.9846143385816829, 0.984611648127459, 0.9846098539685008, 0.9847320083580349, 0.9847685144684533, 0.9848907643095351, 0.9849458810257806, 0.9850304934392904, 0.9851434575756691, 0.9851417228595616, 0.9852450240887635, 0.985291397755259, 0.9853273357479456, 0.9853251925642449, 0.9854084276558025, 0.9855119061537861, 0.9855100708418191, 0.9855562594415477, 0.9856208385731973, 0.9856567567304035, 0.985652279931724, 0.9857265507619661, 0.9857318525169324, 0.985785691971259, 0.985779166870147, 0.9858050019538882, 0.9858318188036193, 0.9858743254868225, 0.9859201752155973, 0.9859634364637642, 0.9860086491986771, 0.9860745496002427, 0.9861297363964723, 0.9861276995672861, 0.9861814335660911, 0.986186356823058, 0.9862392065001128, 0.9863603380988802, 0.9864154422582734, 0.9864494922239121, 0.9865135453474676, 0.9866149464794265, 0.986640209041435, 0.9866382401776328, 0.9867202705093676, 0.9868190671047196, 0.9868330413903049, 0.986862061494219, 0.9868583081303136, 0.9869138065253594, 0.9870065854331795, 0.9869988952020202, 0.9870322122216959, 0.9871518862334584, 0.9873526534725859, 0.9874107478391582, 0.9874281644724477, 0.9874696887217301, 0.9874768594141348, 0.9875797313894061, 0.9876064605042684, 0.9877012189678942, 0.9877828503374355, 0.9878181962590842, 0.9879192497218249, 0.9879866739595247, 0.9879853596435392, 0.9880997393086705, 0.9880944085529132, 0.9881279630293613, 0.9881711643480687, 0.9882554684851748, 0.9883006522909976, 0.988335777930773, 0.9883697713886394, 0.988373022215119, 0.9884367067101082, 0.9884509239260859, 0.9884563060179258, 0.9885120733305981, 0.9885068978635645, 0.9885334882230412, 0.9885912499498737, 0.988655854120904, 0.9887981049123723, 0.988855309792267, 0.9889368971061093, 0.9889275513898387, 0.9889239869622953, 0.9889786921381337, 0.9890043499275012, 0.9890418968506794, 0.9890362600231983, 0.9891024670803693, 0.9891059619364935, 0.9891214318902648, 0.9891242823643568, 0.9891656213329018, 0.9891594801408964, 0.9891803179041425, 0.9892061175469001, 0.9892783965268902, 0.9893014474512272, 0.989365376020802, 0.9893827989138725, 0.9893955892978903, 0.9894487050220497, 0.9894512617717803, 0.9894539297880587, 0.9894471489952339, 0.9895717364437681, 0.9895674742252241, 0.9895701255675079, 0.9895753251945016, 0.9895969057463245, 0.9896391678475346, 0.9896270252487869, 0.9896133574899119, 0.9896059747617821, 0.9896780713151436, 0.9896688030880061, 0.9896621879808735, 0.9896655781075606, 0.9896816616867071, 0.9897164257854933, 0.9897103579636033, 0.9897609152995555, 0.9897737997697549, 0.9898087321107963, 0.9898727603219943, 0.9898762070076604, 0.9899150743099787, 0.989962306586976, 0.9899633134614583, 0.9900043822123912, 0.9899995824460311, 0.9899991639844501, 0.9900130718954249, 0.9901182874489689, 0.9902356232123961, 0.9902685584253521, 0.9903415115534419, 0.9903358299106064, 0.9904123126090705, 0.9904437147427801, 0.9904357626636612, 0.9905728024295597, 0.9905681278683336, 0.9906385046965966, 0.9906704182445154, 0.9906633074333623, 0.9906590610288817, 0.9906734431865205, 0.9906839885700932, 0.9906825361370816, 0.9906749981371287, 0.9906889535193412, 0.9907056064804945, 0.9906963841795854, 0.9906855519237754, 0.9906803753500203, 0.9906727992298642, 0.9906987198698463, 0.9906850607239712, 0.9906861956113525, 0.9906821963394343, 0.9908414670851786, 0.9909012690901269, 0.9909369786340886, 0.9910142866377917, 0.9910068257545532, 0.9910376849152359, 0.9910319715616255, 0.9910183852571663, 0.9910153032470629, 0.991010724238514, 0.9910084051864562, 0.9910673534589555, 0.9911219427278266, 0.9911522745845819, 0.9911994678240766, 0.9912286450823612, 0.9912251945100096, 0.9912165561899762, 0.9912533251595529, 0.9912764255263187, 0.9912897528439945, 0.9912957576422808, 0.9913645352669743, 0.9913579839693901, 0.9913616656029227, 0.9913968782013858, 0.9914187706120469, 0.9914170201484623, 0.9914128464700942, 0.9914381478080995, 0.9914292358288948, 0.9914239177405236, 0.9914457844692725, 0.9914489100136595, 0.9915278735184897, 0.9915184434896819, 0.9915091816723124, 0.9915619349510012, 0.9915553371163041, 0.9915475005869792, 0.9916482876750669, 0.991642954764412, 0.9916883524766691, 0.9917114972090881, 0.9917439035363989, 0.9917552712200396, 0.9917504395257629, 0.9918286268932981, 0.9918323542702214, 0.9918158973081886, 0.9918003039444734, 0.9917947204757473, 0.991818367764369, 0.9918222970360092, 0.9918813053676755, 0.9918607305936074, 0.991852732134287, 0.9918641507706744, 0.9918791377454013, 0.9919316890658892, 0.9919190758089546, 0.9919254658385093, 0.991983321623147, 0.9919737995294986, 0.991957755104399, 0.9919451902601611, 0.9919396866205746, 0.9919469940472737, 0.9919449513558751, 0.991933043093614, 0.9919417849354526, 0.9919249287150003, 0.9919085703579668, 0.9919556269568582, 0.9919433450385804, 0.9919374742904155, 0.9919260872123816, 0.991932059447983, 0.9919184281106372, 0.9919265099320501, 0.9919872934594505, 0.9919872746050024, 0.9919702124622303, 0.9919608403601543, 0.9919583840408523, 0.9919444477644049, 0.9919784495659982, 0.9920060494760722, 0.9919901861740511, 0.9919877587411745, 0.9920288456900295, 0.9920556347040784, 0.9920999782235235, 0.9920909839639552, 0.9920782229986291, 0.9920708162323627, 0.9920606937470364, 0.9920465756427902, 0.9920403710430405, 0.9920712488088548, 0.9920592193808883, 0.9921148799450616, 0.9921136034198953, 0.9921065917962737, 0.9920949104048737, 0.9920975947053885, 0.9921483771251932, 0.9921845970918279, 0.9921763604577635, 0.9921719681908548, 0.9921653484554545, 0.9922013205431668, 0.9922413900634909, 0.9922291768174606, 0.9922412714303591, 0.9922371913657535, 0.992281862376585, 0.9922814327668867, 0.9922758551282536, 0.9923482250907624, 0.9923394373840504, 0.992325878351897, 0.9923150938140937, 0.9923105229098199, 0.9922975240225735, 0.9922873288194267, 0.9922701123767491, 0.9922634018052062, 0.99224697107327, 0.9922390127511096, 0.9922324363188167, 0.9922178487818683, 0.992218199621217, 0.9922120190631175, 0.9922259015884514, 0.9922178484487492, 0.9922044231143394, 0.9922741319760043, 0.992257846249935, 0.9923383629114221, 0.9923307682274684, 0.9923203510696654, 0.9923344583104413, 0.992320092263738, 0.9922994034008779, 0.9922900823619188, 0.9923428706986307, 0.9923324623221685, 0.9923257075565317, 0.9923381805167089, 0.9923271959750966, 0.9923436835389197, 0.9923342072691944, 0.992375569832849, 0.9924058404292235, 0.9923970122529697, 0.9924475749216637, 0.9924345061637312, 0.9924582582744065, 0.9924377224199288, 0.9924212744687462, 0.9924031091731441, 0.992396416421572, 0.992406851492142, 0.9923889660430792, 0.9923790047716428, 0.9923644310886491, 0.9923575412884174, 0.992348649721458, 0.992338792571781, 0.9923246969010449, 0.9923168011455953, 0.9923172413793103, 0.9923058859281975, 0.9923075858824831, 0.992307265822083, 0.992359943880315, 0.9923467612885271, 0.9923616241305772, 0.9923517096999303, 0.9923382361165483, 0.9923316323669601, 0.9923188181933074, 0.9924276545434073, 0.9924169814512037, 0.9924038122132015, 0.9924488814728923, 0.9925386895896279, 0.9925342358612648, 0.992526158445441, 0.9925118740283265, 0.9924923851334926, 0.9924832483821087, 0.9924900561450869, 0.9924930971007824, 0.9924782777849825, 0.992465466722478, 0.9924546847445868, 0.992497320471597, 0.9925140361821585, 0.9924941087481454, 0.9924841599300852, 0.9925031358478458, 0.9924923166983756, 0.992484727736189, 0.9924950064622253, 0.9924930450270103, 0.9925120132071578, 0.9924974154482351, 0.992486207457587, 0.992526690391459, 0.9925271133561135, 0.9925453084546023, 0.9925703799847827, 0.9925629461485619, 0.9925473646403878, 0.9925932589660549, 0.9925772328404856, 0.99255272639561, 0.992543508777226, 0.99252500491776, 0.9925270194479392, 0.9925238189305414, 0.9925116434811726, 0.9925050271159588, 0.9924875173687988, 0.9925217923229852, 0.9925354832776432, 0.9925166723009312, 0.9925101121176235, 0.9924851477509451, 0.9924794613626536, 0.9925116811585234, 0.99249775242583, 0.9924862221532251, 0.9924668088219272, 0.9924542421502291, 0.9924971864449168, 0.9925196418210046, 0.9925198397108509, 0.9925253098684833, 0.9925787911324448, 0.9925608192595641, 0.9925394456966888, 0.9925309093220608, 0.9925727582799401, 0.9926148054806757, 0.9925995780320951, 0.9925923550538738, 0.9925909258931872, 0.9926817866756935, 0.9926737562329552, 0.9926509866131408, 0.9926334577316243, 0.9926857811585723, 0.9926689800107522, 0.9926710629407156, 0.992684004648194, 0.9926685255043464, 0.9926532222277008, 0.9926469375978897, 0.9926494879418566, 0.9926608240420138, 0.9926416849378779, 0.9926477943383015, 0.9926275139174482, 0.9926140550679976, 0.9925912237080842, 0.9926230336510931, 0.9926122084099381, 0.9926081293661936, 0.9925981131116719, 0.9927212881114372, 0.9927128807052709, 0.9927156375519096, 0.9927012278308321, 0.9926812585499316, 0.9926635698246457, 0.9926700312424898, 0.9926524993547277, 0.9926863766516024, 0.9926739926739927, 0.9926646550827177, 0.992657524735289, 0.9926437341309867, 0.9926196042851659, 0.9926083841543327, 0.9925933708042234, 0.9926189557838634, 0.9926043039086517, 0.9925899850391622, 0.9925804518698671, 0.9925676152814067, 0.9925524951794654, 0.9925342696529588, 0.992516353811149, 0.992507430279948, 0.992489251244358, 0.9924735411899314, 0.9924531684144483, 0.9925787497080016, 0.9926391188539342, 0.992638036809816, 0.9926244622003688, 0.9926115064920954, 0.9925892289528653, 0.9925952879104885, 0.992590294380669, 0.9925759321228079, 0.9926186420499294, 0.9925953146531925, 0.9925849601648604, 0.992554272517321, 0.992521526128266, 0.992507204610951, 0.9924900301889605, 0.9924816238200067, 0.992461794579226, 0.9924506387921022, 0.9924498535046202, 0.9924318014948134, 0.9924385276814, 0.9924411353414717, 0.992427397675211, 0.9924412200402628, 0.9924315895563542, 0.9924784827481149, 0.9924585218702866, 0.9924485738319186, 0.9924675125541458, 0.9925284265519361, 0.992510156535803, 0.9924935355640462, 0.9924683924180526, 0.9924548064240826, 0.9924383795972319, 0.9924130129505383, 0.9923969978891408, 0.9923961824132322, 0.992386236203742, 0.9924500778647322, 0.992508697027198, 0.9924856751987629, 0.9924732891130794, 0.9924550087593565, 0.9924378466818309, 0.9924151456932436, 0.992387112325245, 0.9923708683924474, 0.9923346075278604, 0.9923045685279188, 0.9922874992368897, 0.99234443900049, 0.9923317587878044, 0.9923103738183607, 0.9922955231853389, 0.992360596326497, 0.9923415147699358, 0.9923329682365827, 0.9922968315269299, 0.9922872229844912, 0.9923729343363827, 0.9923762975959229, 0.9923662525620112, 0.9923457618588265, 0.9923341874238669, 0.9925457991156033, 0.9925280199252802, 0.9925117400685366, 0.9925542521372054, 0.9925414364640884, 0.9925220503643104, 0.9925908527992484, 0.9925675241501917, 0.9925382762773095, 0.9925146148370257, 0.9925093632958801, 0.9925201630387651, 0.9924993477693712, 0.9925192471265621, 0.9925038791878839, 0.9925026306559102, 0.9924807070773696, 0.992462976022567, 0.9924379781541591, 0.9924242424242424, 0.9924166611070341, 0.9924696102967465, 0.9924510550602571, 0.9924298582563964, 0.9924881362031351, 0.9924596455581894, 0.9924453190382484, 0.9924311094996374, 0.9925917509373935, 0.9925647166153495, 0.9925451635033158, 0.9925328691190618, 0.9924959141864051, 0.992479815455594, 0.9925065914242102, 0.9925094501518982, 0.9924976192135275, 0.9924641873920955, 0.9924359514776826, 0.9924112492070578, 0.9923892554194157, 0.9923766816143498, 0.9924968638310966, 0.9925008306042052, 0.9924846005660333, 0.9925623971965959, 0.992569585473659, 0.9925483994632931, 0.9925242181678325, 0.992503495154992, 0.9924813847790349, 0.9924600577011662, 0.9925095454655999, 0.9924927486777001, 0.9924828545627609, 0.9924815712781329, 0.9924697686968039, 0.9924486533021769, 0.9924328321419769, 0.9924105708140714, 0.9923635640017909, 0.9923454758520956, 0.9923273657289002, 0.992362960357735, 0.9923282693181245, 0.9923061348451103, 0.9922868089209144, 0.9922667955534075, 0.9922417313189057, 0.9922222790769073, 0.9922027290448343, 0.9921830804834147, 0.9921635346583146, 0.9921424694357569, 0.992110658396699, 0.9921968475264007, 0.9921787418202674, 0.9921582978278485, 0.992149679445244, 0.9921731365236119, 0.9922019073713051, 0.9921920337641783, 0.9921699336031532, 0.9921547839915187, 0.9921333085284503, 0.9921070876219935, 0.9920944393996047, 0.9920747543441591, 0.992149060307047, 0.992127045754806, 0.9921023449544262, 0.9920854339458991, 0.992060255050711, 0.9921004603524829, 0.9920708700169519, 0.9920462960423466, 0.9920503933542388, 0.9920501283573026, 0.9923417196571744, 0.9923211266043855, 0.9922907795496925, 0.9922677534613666, 0.992404495641694, 0.9923801490229158, 0.99234938738637, 0.9923194649132752, 0.9923035415069155, 0.992280741732418, 0.9922646571901581, 0.992242514455831, 0.9922327314416738, 0.9922148807813846, 0.9921960490698613, 0.9921787064561748, 0.9921615133196425, 0.9921517520996235, 0.9921294144981413, 0.9921101665308024, 0.9920945157526254, 0.9920572115243705, 0.9920420508603982, 0.9920122616205382, 0.9919881744271988, 0.991972273238936, 0.9919462688341407, 0.9919354838709677, 0.9919131031601564, 0.9918998087039694, 0.9918867133704569, 0.9918667466986795, 0.9918351360308517, 0.9918055093586526, 0.9917819019893256, 0.9917579075425791, 0.9917383086397171, 0.9917282217202857, 0.9917006094386427, 0.9916751144287776, 0.9916587152574717, 0.9916424193648239, 0.9916253101736973, 0.9915817042372088, 0.9915553748475276, 0.9915384374314457, 0.9915059615566112, 0.9914880201765448, 0.9914745816229871, 0.9914456800684346, 0.9914342819072999, 0.9914067472947168, 0.9913892078071183, 0.9914027293937167, 0.9916591813165662, 0.9916452442159382, 0.9916212819438626, 0.991602880857798, 0.9916162237400058, 0.9915884511707966, 0.9915791527132035, 0.9915812830385695, 0.9915971881641328, 0.9915510552962062, 0.991567296923381, 0.9915380292863518, 0.9915276762575587, 0.9915415098737886, 0.9915186322959797, 0.991486509133568, 0.9914420485175203, 0.9914189189189189, 0.9914307004470939, 0.991507863718197, 0.9914957308568901, 0.9914661204983786, 0.9914371831757776, 0.9914189606645157, 0.9913935554943542, 0.9913781211201546, 0.9913497802844192, 0.991325468424705, 0.9913064645129881, 0.9912767368017028, 0.9912501749965, 0.9912252992172967, 0.9911990424558192, 0.9911869425741178, 0.9911576415661585, 0.9911435454158991, 0.991120897854809, 0.9911630558722919, 0.9911520211209819, 0.9911209766925638, 0.9910903538710257, 0.9910572623683831, 0.9914668980728206, 0.9914554670528603, 0.9915768071742367, 0.9915587250764081, 0.9915356269838375, 0.9915127126394732, 0.9914984059511158, 0.991465254019056, 0.9914479504570923, 0.9914312096029547, 0.9914032682402638, 0.9914234796168412, 0.9913886300093196, 0.9913648087921947, 0.991322640021036, 0.9912941885882264, 0.9912592704707128, 0.991225737835682, 0.9912066996574039, 0.9913388530657408, 0.991333893257998, 0.9913106721788394, 0.9912796281356844, 0.9914164742109315, 0.991391623238757, 0.991368298819431, 0.9913300416002488, 0.9913077372831807, 0.9912880415673712, 0.9912586727294108, 0.9912425384857053, 0.991208704565166, 0.9911787974683545, 0.9911613158937772, 0.9911148298669217, 0.9910938935260993, 0.9910817836432714, 0.9911216455085972, 0.9911044920302688, 0.9910883503367072, 0.99105733824303, 0.9910257451474052, 0.9910071210579857, 0.9909869494290375, 0.9909736971083156, 0.9909489290248598, 0.9909229063128927, 0.9909109603125643, 0.9908944831280129, 0.9908613488814456, 0.9908359595289434, 0.9908188276349134, 0.990781295624244, 0.9907635725331215, 0.9907360831656606, 0.9907131150985419, 0.990682575150723, 0.9906439185470556, 0.990618499808974, 0.9905764966740577, 0.9905672457211149, 0.9905292479108635, 0.9906457453228726, 0.9906117504542702, 0.9905795528543521, 0.9905483688313951, 0.9905337891138575, 0.9905113336847654, 0.9904682052866157, 0.9904433235996815, 0.9904170363797693, 0.9903726154394723, 0.9903519742719314, 0.9903086862885858, 0.9902825265430988, 0.9902584224056284, 0.9902213771560505, 0.9902560616360753, 0.9902374789992281, 0.9902250511479882, 0.9902081340802478, 0.9901651342573533, 0.9901471059988085, 0.9907471343737053, 0.9906931518266426, 0.9907686598320731, 0.9907355679702048, 0.9907269338303821, 0.9906669167995498, 0.9906189600716542, 0.9905976848570753, 0.9906807322957567, 0.9906754390116912, 0.9906475503228257, 0.9906145783706527, 0.9906047310186952, 0.9912423430321593, 0.9912242842756438, 0.9913622544998311, 0.9913459678978921, 0.991332558589967, 0.9913085700412722, 0.991284023956761, 0.9912452313410937, 0.9912297893189613, 0.9914042929416965, 0.9913648475278792, 0.9913481979532308, 0.9914203531045428, 0.9913853201872324, 0.9913456728364182, 0.9913069694990202, 0.991289023162135, 0.991278483565235, 0.9912626262626263, 0.9912444961789564, 0.9912191655669476, 0.9912396862585311, 0.9912150773788243, 0.9912100339261849, 0.9911905620524445, 0.9911773810752245, 0.991161420375252, 0.9913318799958476, 0.9913133940182055, 0.9920116952957762, 0.9919748229740362, 0.9919655516462742, 0.9919252691576947, 0.9918970448045757, 0.9918776875298615, 0.9918521674299713, 0.9918347742555236, 0.991798005789643, 0.991771981715515, 0.9917573537334339, 0.9923222492565559, 0.9923056082362504, 0.9922859626249457, 0.992272949883006, 0.9922463688981107, 0.9922298221614227, 0.9922161925121965, 0.9922008018893832, 0.9921905076170049, 0.992177601498375, 0.9922047766475011, 0.992190528939352, 0.9921644901361489, 0.9921496575914481, 0.9921308181716709, 0.9920915362611475, 0.9920648320108053, 0.9920487227203519, 0.9920307466229582, 0.9920068027210884, 0.9919781532684758, 0.9919648962844768, 0.9919387113372592, 0.9919280970918251, 0.9918993450534298, 0.9918553604436229, 0.9918369709951949, 0.9918056604870111, 0.9917808219178083, 0.9917539037370606, 0.9917365058899373, 0.9917190344746579, 0.9917014890236008, 0.9916760139323455, 0.9916602590642929, 0.9916146297948261, 0.991595636883829, 0.9915700107616884, 0.991558908045977, 0.9915345821325648, 0.991520327159009, 0.9914942390058514, 0.991479847724938, 0.9914664407189978, 0.9914311759343665, 0.9914228359389258, 0.9914029632339492, 0.991385104173031, 0.9913756193039329, 0.9913369378225608, 0.9913086358873204, 0.991292533810906, 0.9912731323884384, 0.9912400596421471, 0.9912050898203593, 0.9911908034487067, 0.9911498870198343, 0.9911242603550295, 0.9910956741395642, 0.9910748195974174, 0.9910498920908976, 0.9910202521971724, 0.9909817716661337, 0.9909702209414025, 0.9909522587268994, 0.9909371384496722, 0.9909061593034505, 0.9908808692277843, 0.9908637335579602, 0.9908304610782337, 0.9908053472448647, 0.9907716473591204, 0.9907334384858044, 0.9906992084432718, 0.9906739863747602, 0.9906542056074766, 0.9906100159829515, 0.9905685618729096, 0.9905565601768134, 0.9905235566906379, 0.9905056898525352, 0.9904716853628869, 0.9904458598726115, 0.9904120767033864, 0.9903721406623421, 0.9903470938591087, 0.9903338589154727, 0.9903205876295736, 0.9903019464887544, 0.990285911126421, 0.9902482882633654, 0.9902327514546966, 0.9901981230448383, 0.9901824258459825, 0.9901508801341157, 0.9901253589186918, 0.9901115085209341, 0.990053611738149, 0.9899679829242263, 0.9899515393386545, 0.9899314481576692, 0.9899119982828933, 0.9898597626752966, 0.9898165535172613, 0.9898010849909584, 0.9897700065297831, 0.9897529069767442, 0.9897357501637912, 0.9896997589305282, 0.9896741120468693, 0.9901629716634855, 0.9901514037924445, 0.99013109441744, 0.9901902935536214, 0.990228013029316, 0.9901989901989902, 0.9901880621422731, 0.9901588011630508, 0.9901411606542684, 0.9901204999625777, 0.990088601892176, 0.9901407390682622, 0.9901266204401568, 0.9900877723970944, 0.9900787640109058, 0.990054661402976, 0.9900395377128953, 0.9900213284582572, 0.9900091519219036, 0.9899946536317116, 0.9899824118681655, 0.9899670674733859, 0.9899501342539317, 0.9899408738385933, 0.9899230769230769, 0.9898794808405439, 0.989860681114551, 0.9898457483915976, 0.9898299821442434, 0.9898046540586816, 0.9897959183673469, 0.9897768066177618, 0.9897552201454602, 0.9897359554963566, 0.9897109644989004, 0.9896695844176326, 0.9896336155733164, 0.9896130669203933, 0.9896006985790268, 0.990446620491999, 0.9904329107868931, 0.9904237491022265, 0.9904115061925689, 0.9903869262196587, 0.9903575733226195, 0.9903389421141615, 0.9903233610192727, 0.9903139882153523, 0.9902889050740471, 0.9902763147232801, 0.9902510358274433, 0.9902319902319903, 0.9901808362654447, 0.9901332017760237, 0.9900908340214699, 0.9900678695580202, 0.9902912621359223, 0.9902255639097745, 0.9902059266700151, 0.9901927912824812, 0.9901664145234493, 0.9901564866229177, 0.9900973338975878, 0.9900881057268722, 0.9900721255833687, 0.9900340715502556, 0.9900145088333191, 0.9899656946826758, 0.989938080495356, 0.9899077029241784, 0.9898867663583715, 0.9898631086466817, 0.9898110249934686, 0.9897896849637839, 0.9897709389753453, 0.9897557131599685, 0.989744938206679, 0.9897169977148884, 0.9896988906497622, 0.9896340923185967, 0.9896156918434366, 0.9899044045385509, 0.9898827110752977, 0.9898490837226015, 0.9898088023088023, 0.9897756062251176, 0.9897644927536232, 0.9897487072484804, 0.9897263387580689, 0.9897010572366023, 0.9896652643131516, 0.989627317789609, 0.989605372090884, 0.989563129214002, 0.989547682915549, 0.9895127610208817, 0.9894815228520897, 0.98945797182573, 0.9894461567199029, 0.9894273952095808, 0.9894055878492406, 0.9893836903419767, 0.9893607004990114, 0.9893486662267886, 0.9893325781176249, 0.9893053189475677, 0.9892931589918514, 0.9892544693799924, 0.9892257818459191, 0.9892093200916731, 0.9891544294078126, 0.9891293891293891, 0.9891933616364338, 0.9891818796484111, 0.9891050583657588, 0.9890795631825273, 0.9890582258694802, 0.9890432400704363, 0.9890077534596133, 0.9889828841235491, 0.9889262408542614, 0.9889010008918838, 0.9889870026788372, 0.9889694921991454, 0.988953025477707, 0.9889088729016786, 0.9888475836431226, 0.988834121315763, 0.988802582467467, 0.9887799454159507, 0.988762907471148, 0.9887389672314092, 0.9887160719731626, 0.9887766554433222, 0.9887375857479267, 0.9887237314197848, 0.9886970817920263, 0.988673805601318, 0.9886527749123168, 0.9886246122026887, 0.9886057592707685, 0.9885368903709879, 0.9884973334727596, 0.988479262672811, 0.9884295782055328, 0.9884051860440602, 0.9883819180397128, 0.98833386361226, 0.9884116521369338, 0.9883980840872805, 0.988378291928777, 0.9883534565658724, 0.9883335117200043, 0.9883197599657094, 0.9882996994418205, 0.9882858678130038, 0.9882618996338575, 0.988245443761458, 0.9882251269309712, 0.9881996319151239, 0.9881688917833497, 0.9881495977386389, 0.9881224801133268, 0.9880991374604214, 0.988079615048119, 0.9880469349709398, 0.9880311848028989, 0.9880167106420404, 0.9879783831476784, 0.9879358052019922, 0.9879210992907801, 0.9878996447602132, 0.9878794618036251, 0.9878578589729308, 0.9878429623020298, 0.9878239499553172, 0.9878021486123545, 0.9877857463021067, 0.9877706720520588, 0.9877141568981064, 0.9876752600633197, 0.9876473254759747, 0.9876136363636364, 0.9875967228038234, 0.9875471266994174, 0.9875271770225427, 0.9875, 0.9874755831322533, 0.9874366067312126, 0.9874032127585808, 0.9873813382727483, 0.9873461806361736, 0.9872901119402985, 0.98724400234055, 0.9872155758855267, 0.9871855161062779, 0.9871492572506484, 0.9871310507674144, 0.987106695055595, 0.9870484790874525, 0.9870284422230156, 0.9869819658425892, 0.9869445442567972, 0.9872794911796472, 0.9872273767923846, 0.9872027043341784, 0.987143723468769, 0.9871046228710463, 0.9870684396730511, 0.9870494807574832, 0.9870066192694288, 0.9869874785170636, 0.9873324314352478, 0.9873105827276087, 0.9872933629410313, 0.9872556297946053, 0.987206558191529, 0.9871619095101583, 0.9871137245089453, 0.9870813997240687, 0.9874936836786256, 0.9874492900608519, 0.987417386883579, 0.9873853211009175, 0.9873660030627871, 0.9873320537428023, 0.9873076923076923, 0.9872734284612418, 0.9872422680412372, 0.9872093023255814, 0.9871894409937888, 0.9871628630705395, 0.9871144084342054, 0.9870672762900066, 0.987040188506349, 0.9869925108395743, 0.9869651086240948, 0.9869306930693069, 0.9868682849184242, 0.9868193316469178, 0.9867770802724722, 0.9867416633186018, 0.9867131928600188, 0.9866935483870968, 0.986670257169786, 0.9866504854368932, 0.9866107654855288, 0.98658172946598, 0.9864975450081833, 0.9864772572052998, 0.9864402136693604, 0.9863823933975241, 0.9863523573200993, 0.9862918859041817, 0.9862461794943039, 0.9862001672706997, 0.9861538461538462, 0.9861266816143498, 0.9861033127456486, 0.9860524091293322, 0.9860208980513979, 0.985965409696626, 0.9859255046914984, 0.9858893956670467, 0.9858652198743575, 0.9858389357745673, 0.9858064516129033, 0.985781990521327, 0.9857594936708861, 0.9857287011676518, 0.9856957087126138, 0.9856459330143541, 0.9856209150326798, 0.9855706165282029, 0.9855390008764242, 0.9855072463768116, 0.9854732208363903, 0.9854390351522283, 0.9854132901134521, 0.9853701788089256, 0.9859029529603799, 0.9859680549335722, 0.9859386686611817, 0.9858667869493309, 0.9858156028368794, 0.985783424077435, 0.9857510989843868, 0.985705596107056, 0.9856619890176938, 0.9860621841017001, 0.9860193578122599, 0.9859849068227322, 0.985937258538093, 0.9858936598976903, 0.9858651755203479, 0.9858277526864975, 0.9857967847666614, 0.9857366771159874, 0.98568281938326, 0.9856466876971609, 0.9856194690265486, 0.9855761610397844, 0.985539488320356, 0.9856619404173969, 0.9856230031948882, 0.9855584082156611, 0.9854180168502916, 0.9853801169590644, 0.9853300733496333, 0.9852917143324073, 0.9852483199475496, 0.9852143913257763, 0.9851803062736704, 0.985116586737225, 0.9850845210473981, 0.9850349185234453, 0.9849548645937813, 0.9849145155883339, 0.9848535846516324, 0.9848049974674996, 0.9847560975609756, 0.9847172694854814, 0.9846494968446188, 0.9846180140146984, 0.9845599588265569, 0.9845174608635816, 0.984472049689441, 0.9850746268656716, 0.9850434782608696, 0.9849886542153954, 0.9848244220928181, 0.9847814546098036, 0.9847517730496453, 0.9847083926031295, 0.9858953758257454, 0.9858650921452854, 0.985824511035349, 0.9857836962389779, 0.9857554994590696, 0.9857091172214182, 0.9856546213909569, 0.9856232939035486, 0.9855918292905343, 0.9855258336386955, 0.9854966036350284, 0.9854538758976248, 0.9854216645137479, 0.9853893101535047, 0.985343228200371, 0.985299590621511, 0.98526669153301, 0.9852364044103906, 0.9852032215770744, 0.9851475841323557, 0.9851140003768607, 0.985071806500378, 0.9850037965072134, 0.9849523809523809, 0.98491790759832, 0.9848745931457017, 0.9848397620418345, 0.9847666795217894, 0.9847224908141559, 0.9846899224806202, 0.9846183800623053, 0.9845823575331772, 0.9845461658841941, 0.9845098039215686, 0.9844549390003935, 0.984362628661916, 0.9843129467831613, 0.9842629482071713, 0.9842126298960832, 0.984136546184739, 0.9840982286634461, 0.9840436275499899, 0.9839918946301925, 0.9839365595770638, 0.9838478838683296, 0.9837981952420016, 0.983751542575072, 0.9837113402061856, 0.9836709384042993, 0.9836337269525586, 0.9835929387331257, 0.9835176298769038, 0.9834728033472804, 0.9834172963895886, 0.9833614153327717, 0.9833016275628831, 0.9832627118644067, 0.9831592410999787, 0.9830907534246576, 0.9830472103004292, 0.9830034423407917, 0.9829557713052859, 0.9828819068255688, 0.9828223526853663, 0.9827774144320907, 0.982736013986014, 0.9826906222611744, 0.982641177763129, 0.982514386896857, 0.982448344812264, 0.982393581457544, 0.9823305748154775, 0.9822511795102224, 0.9821750902527075, 0.9821105072463768, 0.9820291173794359, 0.9819593514501027, 0.9819014891179839, 0.9818349045757645, 0.981623633403117, 0.9815592903828197, 0.9814944951979386, 0.9816729323308271, 0.9815950920245399, 0.9815209665955935, 0.981459472308058, 0.9813931297709924, 0.981312889314806, 0.981159420289855, 0.9810909090909091, 0.9810126582278481, 0.9809337570276216, 0.9808353808353808, 0.9807407407407407, 0.9806835066864784, 0.9806259314456036, 0.9805680119581465, 0.9805, 0.9804020100502513, 0.9803427419354839, 0.9802880970432145, 0.9801728520589731, 0.9801121876593575, 0.9800102511532548, 0.979948586118252, 0.9798657718120806, 0.9798084390370179, 0.9797402597402597, 0.9799060542797495, 0.9798429319371728, 0.9797794117647058, 0.9797208322359757, 0.9796457837694951, 0.9795103778605642, 0.9794337606837606, 0.9793676312968917, 0.9792396872472364, 0.9791497427565665, 0.9790703995650992, 0.9790019089173712, 0.9789098877019995, 0.9787468948385316, 0.9786762669620603, 0.9785754034501948, 0.9784795975405254, 0.9784132324081861, 0.9783464566929134, 0.9782485875706215, 0.9781746031746031, 0.9780814118986622, 0.9785591766723842, 0.9784048373164411, 0.9782734646581692, 0.978204010462075, 0.9781149693609571, 0.9780444964871194, 0.9779541446208113, 0.9787485242030697, 0.9786476868327402, 0.9785586658725431, 0.9805330937406409, 0.9804628794709949, 0.9803684687405617, 0.9802130898021308, 0.9801344743276283, 0.980036855036855, 0.9798886138613861, 0.9798199316982303, 0.9796938456732271, 0.9795918367346939, 0.9801073571203032, 0.9800380228136882, 0.9799618320610687, 0.979891477816789, 0.979631425800194, 0.9795454545454545, 0.9794386422976501, 0.9793577981651376, 0.979221635883905, 0.9814138732160638, 0.9813271090363455, 0.9812520924004018, 0.9811701412239409, 0.9810874704491725, 0.9808481532147743, 0.9807626245276537, 0.980682994135909, 0.981629116117851, 0.9815266643429766, 0.9814490724536227, 0.9820042342978123, 0.981902058197303, 0.9818246614397719, 0.9817204301075269, 0.9816083663901911, 0.9815284317276349, 0.9814545454545455, 0.9813118358373031, 0.9812362030905077, 0.9811460258780037, 0.9810197245999256, 0.9808845577211395, 0.9807981927710844, 0.9806818181818182, 0.9804896710022953, 0.9807840122982321, 0.980612640558356, 0.9831768388106417, 0.9830106677202687, 0.9829365079365079, 0.9828548644338118, 0.9827447833065811, 0.982654296087132, 0.9825487012987013, 0.9824058919803601, 0.9822826534816647, 0.9822019867549668, 0.9821131447587355, 0.9849056603773585, 0.9848293299620733, 0.9847586790855207, 0.9846743295019157, 0.9845758354755784, 0.9845027981058976, 0.9844223279965383, 0.9842794759825327, 0.9842035980693287, 0.9841269841269841, 0.9840425531914894, 0.9839357429718876, 0.9851818590031433, 0.9850746268656716, 0.984993178717599, 0.9848415250344511, 0.9847504621072088, 0.9846654275092936, 0.9845360824742269, 0.9844559585492227, 0.9843453510436433, 0.9842557251908397, 0.9841650671785028, 0.984073359073359, 0.9839728023312287, 0.9838788470933073, 0.9837837837837838, 0.983679525222552, 0.9835902536051716, 0.9833501513622603, 0.983248730964467, 0.9831546707503829, 0.9830159547092125, 0.9829192546583851, 0.982803543512246, 0.9826953329837441, 0.9825857519788919, 0.9824747742963357, 0.9823529411764705, 0.982200647249191, 0.9820846905537459, 0.9819474835886215, 0.9818281938325991, 0.9817073170731707, 0.9815950920245399, 0.981418918918919, 0.9813031161473088, 0.9811212814645309, 0.9810017271157168, 0.9808251016850669, 0.9805539186800236, 0.9803804994054697, 0.9801801801801802, 0.9800483675937122, 0.9799025578562729, 0.9797172710510141, 0.9795031055900622, 0.9792843691148776, 0.9791271347248577, 0.9789137380191694, 0.978750804893754, 0.9785853341985724, 0.9784172661870504, 0.978246539222149, 0.9780585106382979, 0.9778820375335121, 0.9776119402985075, 0.9772883688919477, 0.9770034843205575, 0.9768095572733662, 0.9766123316796598, 0.9764117226590422, 0.9756457564575646, 0.9753363228699552, 0.9751131221719457, 0.9748475609756098, 0.9744186046511628, 0.9741784037558685, 0.9754940711462451, 0.9752593774940144, 0.9750201450443191, 0.9746317512274959, 0.9743801652892562, 0.9741235392320534, 0.9738617200674536, 0.9735945485519591, 0.9733218588640276, 0.9730434782608696, 0.9727112676056338, 0.9724199288256228, 0.9719202898550725, 0.9714285714285714, 0.9710280373831776, 0.9706161137440759, 0.9702780441035475, 0.9697560975609756, 0.9694280078895463, 0.969061876247505, 0.9686868686868687, 0.9683026584867076, 0.96794208893485, 0.9744408945686901, 0.9741379310344828, 0.973655323819978, 0.9731543624161074, 0.9728199320498301, 0.972318339100346, 0.9718640093786636, 0.9712574850299401, 0.9705521472392638, 0.9701120797011208, 0.9696969696969697, 0.9692307692307692, 0.9686274509803922, 0.9676985195154778, 0.9672131147540983, 0.9667128987517337, 0.9660537482319661, 0.9654676258992806, 0.9648609077598829, 0.9641255605381166, 0.9635258358662614, 0.9625585023400937, 0.9618441971383148, 0.9611021069692058, 0.9597989949748744, 0.958974358974359, 0.9576719576719577, 0.956442831215971, 0.9555555555555556, 0.9546313799621928, 0.9536679536679536, 0.9523809523809523, 0.9493670886075949, 0.9470198675496688, 0.9444444444444444, 0.9425837320574163, 0.9393939393939394, 0.93717277486911, 0.9342465753424658, 0.9302325581395349, 0.9272727272727272, 0.922077922077922, 0.9183673469387755, 0.9111111111111111, 0.9051383399209486, 0.896551724137931, 0.8883720930232558, 0.8769230769230769, 0.8651685393258427, 0.8509316770186336, 0.8333333333333334, 0.8110236220472441, 0.7818181818181819, 0.7419354838709677, 0.6842105263157895, 1.0, 1.0, 1.0], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"method=Ensemble of BLAST  with  Ensembled-CNN<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ensemble of BLAST  with  Ensembled-CNN\\\", \\\"line\\\": {\\\"color\\\": \\\"#ab63fa\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Ensemble of BLAST  with  Ensembled-CNN\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [0.987004806574153, 0.986898209163501, 0.986791611752849, 0.986685014342197, 0.9865493449104582, 0.9864427474998062, 0.9863361500891542, 0.9862198620048066, 0.9861132645941546, 0.985996976509807, 0.9858806884254593, 0.9857740910148074, 0.9856674936041554, 0.9855512055198077, 0.9854446081091558, 0.9853380106985038, 0.9852314132878518, 0.9851151252035042, 0.9850085277928522, 0.9848922397085045, 0.9847759516241569, 0.9846693542135049, 0.9845433754554617, 0.9844367780448097, 0.9843301806341577, 0.9842235832235057, 0.9840879137917669, 0.9839813163811149, 0.9838747189704629, 0.9837681215598109, 0.9836615241491589, 0.9835549267385069, 0.9834483293278549, 0.9833417319172029, 0.9832351345065509, 0.9831285370958989, 0.9830219396852469, 0.982886270253508, 0.9827796728428561, 0.9826730754322041, 0.9825664780215521, 0.9824598806109001, 0.9823532832002481, 0.9822273044422049, 0.9821207070315529, 0.9820044189472052, 0.9818978215365533, 0.9817912241259013, 0.9816749360415536, 0.9815683386309016, 0.9814617412202497, 0.9813551438095977, 0.9812485463989457, 0.981132258314598, 0.9810062795565547, 0.9808996821459027, 0.9807930847352508, 0.9806864873245988, 0.9805798899139468, 0.9804636018295992, 0.9803570044189472, 0.9802504070082952, 0.9801438095976432, 0.9800372121869912, 0.9799306147763392, 0.9798143266919916, 0.9797077292813396, 0.9796011318706876, 0.9794945344600356, 0.979378246375688, 0.979271648965036, 0.9791553608806884, 0.9790487634700364, 0.9789421660593844, 0.9788355686487324, 0.9787289712380804, 0.9786223738274284, 0.9785060857430808, 0.9783897976587332, 0.9782541282269943, 0.9781475308163423, 0.9780409334056903, 0.9779246453213427, 0.9778083572369951, 0.9777017598263431, 0.9775660903946042, 0.9774594929839523, 0.9773528955733003, 0.9772366074889526, 0.9771300100783007, 0.9770234126676487, 0.9769168152569967, 0.9767811458252578, 0.9766648577409102, 0.9765582603302582, 0.976432281572215, 0.9763063028141716, 0.9761803240561284, 0.9760737266454764, 0.9759671292348244, 0.9758605318241724, 0.9757345530661291, 0.9756279556554772, 0.9755116675711295, 0.9754050701604775, 0.9752887820761299, 0.9751724939917823, 0.9750658965811303, 0.9749592991704783, 0.9748527017598263, 0.9747461043491743, 0.9746395069385224, 0.9745232188541747, 0.9744166214435227, 0.9742906426854795, 0.9741743546011319, 0.9740580665167843, 0.9739514691061323, 0.973825490348089, 0.9737092022637414, 0.9736026048530894, 0.9734960074424374, 0.9733894100317854, 0.9732731219474378, 0.9731665245367858, 0.9730599271261338, 0.9729339483680906, 0.9728273509574386, 0.9727207535467866, 0.9726141561361346, 0.972497868051787, 0.972391270641135, 0.972284673230483, 0.9721683851461353, 0.9720617877354834, 0.9719551903248314, 0.9718389022404837, 0.9717129234824405, 0.9716063260717885, 0.9714997286611365, 0.971354368555702, 0.97124777114505, 0.971141173734398, 0.9710055043026591, 0.9708892162183115, 0.9707826188076595, 0.9706760213970075, 0.9705500426389643, 0.9704337545546167, 0.9703271571439647, 0.9702108690596171, 0.9701042716489651, 0.9699395301961392, 0.9698232421117916, 0.9697166447011396, 0.9696100472904876, 0.96949375920614, 0.9693774711217924, 0.9692514923637491, 0.9691158229320103, 0.9689995348476627, 0.9688832467633149, 0.9687766493526629, 0.9686603612683153, 0.9685537638576633, 0.9684180944259245, 0.9682824249941856, 0.9681467555624467, 0.9680304674780991, 0.9678657260252733, 0.9677591286146213, 0.9676525312039693, 0.9675362431196217, 0.9674102643615784, 0.9673036669509264, 0.9671970695402744, 0.9670710907822312, 0.966916040003101, 0.966809442592449, 0.966702845181797, 0.9665865570974495, 0.9664605783394061, 0.9663345995813629, 0.9662280021707109, 0.9660729513915808, 0.9659372819598419, 0.9658306845491899, 0.9657047057911466, 0.9655981083804946, 0.965481820296147, 0.9653558415381037, 0.9652492441274517, 0.965084502674626, 0.964977905263974, 0.964871307853322, 0.96476471044267, 0.964658113032018, 0.964551515621366, 0.9644255368633228, 0.9643092487789751, 0.9641929606946275, 0.9640863632839755, 0.9639700751996279, 0.9638634777889759, 0.9637568803783239, 0.9636309016202806, 0.9634661601674548, 0.9632626560198465, 0.9630979145670207, 0.9628556477246298, 0.9627490503139778, 0.9626424529033258, 0.9625261648189782, 0.9624195674083262, 0.9621482285448484, 0.9619931777657182, 0.9618575083339794, 0.9616346228389797, 0.9615280254283278, 0.961334211954415, 0.9612179238700674, 0.9611113264594154, 0.9609853477013722, 0.9608593689433289, 0.9607333901852857, 0.9604814326691992, 0.9603651445848516, 0.9600744243739825, 0.9598127761842004, 0.9597061787735484, 0.9595317466470269, 0.9593766958678968, 0.9592507171098534, 0.9590569036359408, 0.9589406155515932, 0.9588340181409412, 0.9587274207302892, 0.9584463911931157, 0.9583397937824638, 0.958068454918986, 0.957932785487247, 0.957826188076595, 0.9574579424761609, 0.957351345065509, 0.9570606248546399, 0.9569540274439879, 0.956605163190945, 0.9564888751065974, 0.9559268160322506, 0.9558008372742073, 0.9555488797581208, 0.9553453756105125, 0.9552387781998605, 0.9550062020311652, 0.9548996046205133, 0.9547057911466005, 0.9545798123885573, 0.9542697108302969, 0.9540371346616017, 0.9539208465772541, 0.9536495077137762, 0.9535332196294286, 0.9529130165129079, 0.9527967284285603, 0.9523218854174742, 0.9521183812698659, 0.9520117838592139, 0.9518082797116055, 0.9516532289324754, 0.9509167377316071, 0.95073261493139, 0.9501899372044345, 0.9498507636250872, 0.9494631366772618, 0.9493468485929142, 0.9492111791611753, 0.9486394294131328, 0.9485328320024808, 0.9484262345918288, 0.9481355143809598, 0.9480095356229165, 0.9478254128226994, 0.9477188154120475, 0.947437785874874, 0.947331188464222, 0.9469920148848748, 0.9466625319792232, 0.9465462438948755, 0.9463427397472672, 0.9460617102100938, 0.9459454221257462, 0.945606248546399, 0.9451701682300954, 0.9450635708194434, 0.9446274905031398, 0.944172028839445, 0.943823164586402, 0.9435421350492286, 0.9434355376385767, 0.9431738894487944, 0.9428734785642298, 0.9427668811535778, 0.9419334832157532, 0.9418268858051012, 0.9414392588572758, 0.9413229707729281, 0.940848127761842, 0.9407318396774944, 0.9405767888983643, 0.940024420497713, 0.9398887510659741, 0.9392104039072796, 0.9389778277385844, 0.9388615396542368, 0.938561128769672, 0.9384448406853244, 0.9381153577796728, 0.9380087603690208, 0.9379021629583688, 0.9371947437785875, 0.9367392821148927, 0.9365067059461973, 0.9360318629351112, 0.9355957826188077, 0.9354891852081557, 0.9350337235444608, 0.9342778509962013, 0.9341615629118536, 0.9337351732692457, 0.933144042173812, 0.93303744476316, 0.9329211566788123, 0.9327757965733778, 0.9326691991627258, 0.9320683773935964, 0.9319423986355532, 0.931390030234902, 0.9312737421505543, 0.9311671447399024, 0.9308085898131638, 0.9297716877277308, 0.929316226064036, 0.929209628653384, 0.9285797348631677, 0.9284731374525157, 0.9278916970307776, 0.9277850996201256, 0.9273102566090394, 0.9267288161873013, 0.9261764477866501, 0.9260698503759981, 0.9257403674703465, 0.9256337700596946, 0.9250232576168695, 0.9248875881851306, 0.9247519187533917, 0.9226684239088302, 0.9225618264981782, 0.9218737886657881, 0.921156678812311, 0.9210307000542678, 0.9200228699899217, 0.9198968912318785, 0.9188890611675323, 0.9183173114194899, 0.9182107140088379, 0.9176195829134042, 0.9174936041553609, 0.9167571129544926, 0.9166505155438406, 0.916214435227537, 0.9156814481742771, 0.9155748507636251, 0.9154682533529731, 0.9151096984262346, 0.9145379486781922, 0.9144313512675402, 0.9139855802775408, 0.9138692921931932, 0.9137626947825412, 0.9128614621288472, 0.9127548647181952, 0.9122121869912396, 0.9121055895805876, 0.9116791999379796, 0.9110493061477634, 0.9106229165051555, 0.9105163190945035, 0.909518179703853, 0.9091790061245058, 0.9090433366927669, 0.9083359175129855, 0.9074831382277696, 0.9070761299325529, 0.9061652066051632, 0.9060295371734243, 0.9054480967516861, 0.9053318086673385, 0.9045856267927747, 0.9044790293821227, 0.9039072796340801, 0.9037813008760369, 0.9030641910225599, 0.9029479029382123, 0.9020079075897356, 0.9014652298627801, 0.9008644080936506, 0.9007578106829986, 0.8999147220714784, 0.8997887433134352, 0.8991103961547406, 0.8983351422590898, 0.8982285448484378, 0.8978118458795256, 0.897695557795178, 0.8975792697108304, 0.8964842235832235, 0.8963776261725716, 0.8962710287619196, 0.8954667028451818, 0.8948271183812698, 0.8934219706954027, 0.8933153732847507, 0.892617644778665, 0.8925013566943174, 0.8916679587564927, 0.8904953872393209, 0.8903887898286689, 0.8902821924180169, 0.8897395146910613, 0.8891580742693233, 0.8890514768586713, 0.8885960151949763, 0.8884894177843243, 0.8883828203736723, 0.8876269478254128, 0.8875106597410652, 0.8873846809830219, 0.8866094270873711, 0.8864834483293279, 0.886105512055198, 0.8854853089386774, 0.8853593301806342, 0.8849329405380262, 0.8848166524536786, 0.8836440809365067, 0.8835374835258547, 0.8834211954415071, 0.8827137762617258, 0.882597488177378, 0.8823067679665091, 0.8822001705558571, 0.8812214125125979, 0.8810954337545546, 0.8807950228699899, 0.8806884254593379, 0.880077913016513, 0.8792929684471664, 0.8791863710365144, 0.8785564772462982, 0.8773160710132568, 0.8772094736026048, 0.8767443212652144, 0.8766377238545624, 0.8754360803163036, 0.8741569113884797, 0.8740212419567408, 0.8736820683773936, 0.8735754709667416, 0.8724610434917436, 0.8719280564384836, 0.8718214590278316, 0.8710558958058764, 0.8709396077215288, 0.8696992014884875, 0.8695926040778355, 0.8690402356771842, 0.8689336382665322, 0.8677223040545778, 0.8676157066439258, 0.8673056050856656, 0.8671796263276222, 0.8664043724319714, 0.8657647879680596, 0.8656581905574076, 0.8646697418404528, 0.8645631444298008, 0.8637975812078456, 0.8633905729126289, 0.8632645941545857, 0.8625668656484999, 0.8624505775641522, 0.8617334677106753, 0.8610454298782851, 0.8609291417939375, 0.8601054345298085, 0.8599988371191565, 0.8592042018761145, 0.8590976044654625, 0.857915342274595, 0.8577893635165517, 0.8575180246530739, 0.8574114272424219, 0.8567233894100318, 0.8566167919993798, 0.8557543220404683, 0.8552407163345995, 0.8543297930072099, 0.8534963950693852, 0.8533801069850376, 0.852517637026126, 0.8516939297619971, 0.8515873323513451, 0.8507248623924335, 0.8506182649817815, 0.8494456934646096, 0.8493390960539576, 0.8487285836111327, 0.8486122955267851, 0.8479145670206992, 0.8469842623459183, 0.8464028219241801, 0.8462962245135282, 0.8453659198387472, 0.8442902550585317, 0.8441836576478797, 0.8430304674780991, 0.8429238700674471, 0.8419741840452748, 0.8414993410341887, 0.8403849135591906, 0.8396193503372354, 0.8395030622528878, 0.8379525544615861, 0.8378168850298473, 0.8362857585859369, 0.8361791611752849, 0.8356849368168076, 0.8355783394061556, 0.8347255601209396, 0.8341053570044189, 0.8332235056981161, 0.8331169082874641, 0.8311497015272502, 0.8310334134429026, 0.8309171253585549, 0.8301903248313823, 0.8300740367470346, 0.8290758973563842, 0.828949918598341, 0.828310334134429, 0.826769517016823, 0.8254903480889991, 0.8253837506783471, 0.8249379796883479, 0.8248313822776959, 0.8237363361500891, 0.8228254128226994, 0.8212361423366152, 0.8199569734087914, 0.8198503759981394, 0.81924955422901, 0.819142956818358, 0.817602139700752, 0.8161485386464067, 0.8160419412357547, 0.8149565857818436, 0.8148499883711916, 0.8137452515698892, 0.8121172183890224, 0.8120009303046748, 0.8106345453135902, 0.8095685712070703, 0.8084250717109853, 0.8083184743003333, 0.807795177920769, 0.8066322970772928, 0.8065160089929452, 0.806390030234902, 0.804955810527948, 0.8035312814946896, 0.8020001550507792, 0.8018935576401272, 0.80102139700752, 0.799877897511435, 0.7981335762462206, 0.7971935808977441, 0.7970676021397007, 0.7957496705170943, 0.7944995736103574, 0.7943929761997054, 0.7931041165981859, 0.7911369098379719, 0.791001240406233, 0.7908946429955811, 0.7894410419412358, 0.7893344445305838, 0.7880843476238468, 0.7879583688658035, 0.7874447631599348, 0.7873187844018916, 0.7864466237692844, 0.7863400263586324, 0.7862237382742848, 0.7849930227149391, 0.7848573532832003, 0.7840239553453756, 0.7828610745018993, 0.7822505620590744, 0.7821342739747267, 0.7811845879525544, 0.7810682998682068, 0.7798375843088612, 0.7797212962245136, 0.7792173811923405, 0.7774439879060392, 0.7762907977362586, 0.7747112179238701, 0.7746046205132181, 0.7733642142801768, 0.7714842235832235, 0.7713776261725716, 0.7702825800449647, 0.7701662919606171, 0.7693813473912706, 0.7683250639584464, 0.7681893945267075, 0.7670555857043182, 0.7661931157454066, 0.7645747732382355, 0.7639739514691062, 0.7638576633847585, 0.7626560198464998, 0.7616966431506318, 0.7603884022017211, 0.7593902628110706, 0.7592836654004186, 0.7589929451895496, 0.758479339483681, 0.7572195519032483, 0.7570838824715094, 0.7554073959221645, 0.7552814171641212, 0.7538956508256454, 0.7537890534149934, 0.7529556554771688, 0.7517637026126056, 0.7515505077913016, 0.75053298705326, 0.7489534072408713, 0.7488371191565237, 0.7477323823552213, 0.7466954802697884, 0.7449802310256609, 0.7443406465617489, 0.744234049151097, 0.7427804480967517, 0.7426738506860997, 0.7407938599891465, 0.7401348941778433, 0.7387975812078456, 0.7386909837971936, 0.7376928444065431, 0.7359679044887201, 0.7348631676874177, 0.7340588417706799, 0.7339328630126366, 0.7327796728428561, 0.7320722536630747, 0.7319656562524227, 0.7305411272191643, 0.7304248391348167, 0.7296689665865571, 0.7288840220172106, 0.7278180479106907, 0.7277114505000387, 0.7266454763935188, 0.7252887820761299, 0.7234766260950461, 0.7225560120939608, 0.7224494146833088, 0.7213931312504845, 0.7204628265757036, 0.7203562291650516, 0.7186312892472285, 0.7175459337933173, 0.7174393363826653, 0.7164896503604931, 0.7163830529498411, 0.7155302736646252, 0.7146484223583224, 0.7134758508411505, 0.7133692534304985, 0.7125358554926738, 0.7117702922707186, 0.7116636948600666, 0.7102973098689821, 0.7090665943096364, 0.7074773238235522, 0.7073707264129002, 0.7055682611055121, 0.7054519730211645, 0.7039305372509497, 0.7038239398402977, 0.7022540507016047, 0.7016532289324754, 0.7015369408481278, 0.700122102488565, 0.6999864330568261, 0.6986103573920459, 0.697650980696178, 0.6962555236840066, 0.6956159392200946, 0.6948794480192263, 0.6947728506085743, 0.6939394526707496, 0.6926505930692302, 0.6925439956585782, 0.6906833863090162, 0.6895495774866268, 0.6885805101170633, 0.6874854639894565, 0.6862353670827196, 0.684762384680983, 0.6836382665322893, 0.6825335297309869, 0.6824269323203349, 0.6816516784246841, 0.6804694162338166, 0.6803628188231646, 0.6786088068842546, 0.6775234514303434, 0.6774071633459958, 0.6759729436390418, 0.6758566555546942, 0.6749651135746957, 0.6748585161640437, 0.6737247073416543, 0.6736181099310024, 0.6726199705403519, 0.6725036824560043, 0.6705364756957903, 0.668898751841228, 0.668792154430576, 0.6681041165981859, 0.6668734010388402, 0.6651678424684084, 0.6650612450577564, 0.6643053725094968, 0.6641987750988448, 0.6624350724862392, 0.6614272424218932, 0.6602159082099388, 0.6601093107992868, 0.6590724087138538, 0.6581808667338553, 0.6568726257849445, 0.6567660283742925, 0.6557485076362509, 0.6540623304132104, 0.6531998604542988, 0.6530932630436468, 0.6529479029382123, 0.6521726490425614, 0.6500794635243042, 0.6494108070393054, 0.6479765873323513, 0.6465714396464842, 0.6464357702147453, 0.6463001007830065, 0.6454957748662687, 0.6442844406543143, 0.6433347546321421, 0.6432281572214901, 0.6417745561671447, 0.6416679587564927, 0.640437243197147, 0.6403015737654082, 0.6394875571749749, 0.6393809597643229, 0.6379564307310644, 0.637355608961935, 0.6372393208775874, 0.6360376773393286, 0.6348457244747655, 0.6334890301573766, 0.6333824327467246, 0.6314152259865106, 0.6306109000697728, 0.6291476083417319, 0.6290410109310799, 0.62797503682456, 0.6263857663384759, 0.6253876269478255, 0.6252810295371735, 0.624786805178696, 0.6246705170943484, 0.6233913481665245, 0.6224513528180479, 0.6223350647337003, 0.6209880610900069, 0.6193503372354446, 0.618730134118924, 0.6165884952321885, 0.6160555081789286, 0.6149992247461044, 0.6138847972711063, 0.6128866578804558, 0.6127800604698038, 0.6112683153732847, 0.6102992480037213, 0.6087778122335065, 0.6068978215365533, 0.6056767966509031, 0.6055605085665555, 0.6036805178696023, 0.6029343359950384, 0.6028277385843864, 0.6014904256143887, 0.6013838282037367, 0.6012675401193891, 0.5998527017598263, 0.5991259012326537, 0.5973718892937437, 0.5972459105357004, 0.5968582835878751, 0.5956566400496163, 0.5938347933948368, 0.5937281959841848, 0.5923521203194047, 0.5922455229087527, 0.5906271804015815, 0.5899585239165827, 0.5882045119776727, 0.5867509109233274, 0.5857915342274594, 0.5844542212574618, 0.583388247150942, 0.5817795953174665, 0.5805198077370339, 0.5792890921776882, 0.5791824947670362, 0.5774381735018218, 0.5763528180479107, 0.5747054035196527, 0.5732033490968292, 0.5730967516861772, 0.5710132568416156, 0.5709066594309636, 0.5693949143344446, 0.5683289402279247, 0.5665749282890147, 0.5651503992557563, 0.5642976199705404, 0.5641522598651059, 0.5640456624544539, 0.5627761842003256, 0.5619718582835879, 0.5618555701992403, 0.5610706256298937, 0.5603922784711993, 0.5602856810605473, 0.5591906349329405, 0.5580858981316381, 0.5566516784246841, 0.5553337468020777, 0.5552271493914257, 0.554500348864253, 0.5532308706101248, 0.5518935576401272, 0.5517772695557795, 0.5509438716179549, 0.5492964570896969, 0.5486956353205675, 0.5476199705403519, 0.5457981238855725, 0.5456915264749206, 0.5448775098844871, 0.544722459105357, 0.543792154430576, 0.543181641987751, 0.5422125746181875, 0.5412435072486239, 0.5405167067214512, 0.5395379486781922, 0.5383847585084115, 0.537095898906892, 0.53698930149624, 0.5357295139158075, 0.5351771455151562, 0.5350705481045043, 0.5338107605240716, 0.5326769517016823, 0.5312911853632064, 0.5300895418249477, 0.5292949065819056, 0.5279866656329948, 0.5269594542212575, 0.5260000775253896, 0.5258644080936506, 0.524420497713001, 0.524313900302349, 0.523567718427785, 0.5218718505310489, 0.5208155670982246, 0.520699279013877, 0.5199240251182262, 0.5183056826110551, 0.5175498100627955, 0.5154760058919297, 0.5153694084812777, 0.5131114815101946, 0.5121230327932398, 0.5109310799286766, 0.5103593301806342, 0.5090123265369408, 0.5089057291262888, 0.5082176912938987, 0.5069772850608575, 0.5058628575858594, 0.5050294596480347, 0.5039344135204279, 0.503004108845647, 0.502897511434995, 0.5014051476858671, 0.5007752538956508, 0.5001550507791301, 0.49888557252500193, 0.49820722536630746, 0.49810062795565546, 0.4968989844173967, 0.4967923870067447, 0.49590084502674625, 0.49468951081479184, 0.49365260872935884, 0.4920148848747965, 0.49109427087371116, 0.4900961314830607, 0.48846809830219395, 0.4874408868904566, 0.4873342894798046, 0.4861423366152415, 0.4860357392045895, 0.48421389254981007, 0.48334173191720287, 0.4821110163578572, 0.48057988991394684, 0.4797368013024265, 0.4786805178696023, 0.4775273276998217, 0.47612218001395457, 0.4744069307698271, 0.4734087913791767, 0.4711121017133111, 0.46926118303744474, 0.46820489960462053, 0.46671253585549266, 0.4665865570974494, 0.4658985192650593, 0.4645321342739747, 0.4636599736413676, 0.46267152492441277, 0.46154740677571904, 0.46099503837506783, 0.46087875029072023, 0.4588146367935499, 0.45822350569811615, 0.4572156756337701, 0.45614970152725015, 0.4555488797581208, 0.45441507093573147, 0.45377548647181953, 0.4526513683231258, 0.45158539421660593, 0.45052911078378166, 0.4492693232033491, 0.44854252267617645, 0.4473505698116133, 0.4472342817272657, 0.44638150244204977, 0.44495697340879137, 0.44324172416466395, 0.4418075044577099, 0.4401891619505388, 0.4395495774866269, 0.43828978990619427, 0.4369524769361966, 0.4360706256298938, 0.43471393131250485, 0.4333863090162028, 0.43327971160555084, 0.4323397162570742, 0.4309151872238158, 0.43010117063338243, 0.42838592138925496, 0.4263218078920847, 0.4262152104814327, 0.42518799906969534, 0.423947592836654, 0.42348244049926353, 0.4218059539499186, 0.4209822466857896, 0.4208756492751376, 0.4201585394216606, 0.41913132800992325, 0.4175808202186216, 0.4164179393751454, 0.41575897356384217, 0.41367547871928056, 0.4127839367392821, 0.4117664160012404, 0.4116598185905884, 0.4105744631366773, 0.40999302271493915, 0.40810334134429027, 0.4066691216373362, 0.40536088068842546, 0.4041689278238623, 0.4034615086440809, 0.4023083184743003, 0.4013101790836499, 0.40041863710365144, 0.39953678579734864, 0.39863555314365456, 0.39755019768974337, 0.39627102876191955, 0.3951081479184433, 0.3939840297697496, 0.3928502209473603, 0.39163888673540587, 0.390757035429103, 0.39023373904953873, 0.38901271416388866, 0.3883246763314986, 0.3872199395301961, 0.3863962322660671, 0.38527211411737344, 0.38516551670672144, 0.3829754244515079, 0.38285913636716024, 0.38200635708194436, 0.37986471819520895, 0.3791476083417319, 0.3773742150554307, 0.37627916892782387, 0.3753004108845647, 0.37435072486239246, 0.37312000930304673, 0.3721897046282658, 0.37122063725870225, 0.37111403984805025, 0.37029033258392124, 0.37018373517326925, 0.369340646561749, 0.36831343515001164, 0.36682107140088377, 0.3659779827893635, 0.3651445848515389, 0.36422397085045355, 0.36379758120784556, 0.3624408868904566, 0.3613652221102411, 0.3608419257306768, 0.35982440499263507, 0.35911698581285373, 0.35816729979068146, 0.35806070238002946, 0.35696565625242266, 0.35635514380959765, 0.3554539111559036, 0.35400031010155825, 0.3530215520582991, 0.35185867121482284, 0.35111248934025896, 0.34995929917047836, 0.349329405380262, 0.34799209241026435, 0.34700364369330955, 0.34689704628265755, 0.34598612295526787, 0.34478447941700907, 0.3443774711217924, 0.34340840375222886, 0.342022637413753, 0.34098573532832005, 0.339658113032018, 0.3385630669044112, 0.3371579192185441, 0.3358496782696333, 0.33517133111093883, 0.3342604077835491, 0.33355298860376775, 0.33257423056050855, 0.3321187688968137, 0.3313241336537716, 0.33048104504225134, 0.3297542445150787, 0.32902744398790607, 0.32860105434529807, 0.3276513683231258, 0.326876114427475, 0.32623652996356306, 0.32469571284595705, 0.32409489107682765, 0.3228544848437863, 0.321827273432049, 0.3211683076207458, 0.32011202418792156, 0.31970501589270484, 0.31879409256531516, 0.31829986820683775, 0.31774749980618655, 0.3169431738894488, 0.3156833863090162, 0.3145883401814094, 0.3136483448329328, 0.31273742150554307, 0.31197185828358787, 0.3115648499883712, 0.31053763857663386, 0.3096170245755485, 0.30899682145902785, 0.3073106442359873, 0.3066516784246841, 0.3050624079385999, 0.30405457787425383, 0.30343437475773316, 0.30222304054577875, 0.30156407473447555, 0.3010504690286069, 0.3000426389642608, 0.2996162493216528, 0.29868594464687187, 0.29808512287774247, 0.29749399178230873, 0.2964280176757888, 0.29591441196992013, 0.29511977672687806, 0.29447050158927046, 0.2938212264516629, 0.29281339638731685, 0.2925226761764478, 0.2915051554384061, 0.2909915497325374, 0.28939258857275757, 0.288849910845802, 0.287813008760369, 0.2863303356849368, 0.2856713698736336, 0.28488642530428715, 0.2837429258082022, 0.2822117993642918, 0.281436545468641, 0.2807872703310334, 0.28003139778277386, 0.2796340801612528, 0.27866501279168926, 0.2777443987906039, 0.2771435770214745, 0.2763101790836499, 0.2757190479882161, 0.2747984339871308, 0.27405225211256684, 0.27341266764865496, 0.27245329095278703, 0.2716392743623537, 0.27090278316148536, 0.270088766571052, 0.2696720676021397, 0.26879990696953254, 0.2683541359795333, 0.2676757888208388, 0.2668423908830142, 0.26655167067214514, 0.2655922939762772, 0.2646813706488875, 0.263712303279324, 0.2631017908364989, 0.2627723079308473, 0.262064888751066, 0.2615028296767191, 0.26077602914954645, 0.26005891929606945, 0.259593766958679, 0.2585859368943329, 0.2580917125358555, 0.2576459415458563, 0.2567834715869447, 0.25626986588107603, 0.2552232731219474, 0.2545061632684704, 0.2532657570354291, 0.2524226684239088, 0.251434219706954, 0.25045546166369487, 0.24990309326304364, 0.24936041553608806, 0.24919567408326226, 0.2485173269245678, 0.24762578494456935, 0.2471703232808745, 0.24646290410109312, 0.24579424761609428, 0.24468951081479184, 0.2440499263508799, 0.24348786727653307, 0.2426447786650128, 0.24218931700131793, 0.24123963097914566, 0.24037716102023413, 0.23989262733545236, 0.23866191177610668, 0.23804170865958602, 0.23772191642763005, 0.23664625164741454, 0.23619078998371967, 0.23569656562524227, 0.23486316768741763, 0.234029769749593, 0.2335064733700287, 0.23297348631676873, 0.23262462206372586, 0.2319753469261183, 0.23129699976742382, 0.2309868982091635, 0.23055081789285992, 0.22970772928133965, 0.2290390727963408, 0.2285739204589503, 0.22762423443677804, 0.22716877277308317, 0.22647104426699743, 0.2259089851926506, 0.2251143499496085, 0.2241840452748275, 0.22361229552678502, 0.22265291883091712, 0.22240096131483061, 0.22146096596635398, 0.22017210636483447, 0.21939685246918367, 0.218670051942011, 0.21793356074114273, 0.21782696333049073, 0.21662531979223196, 0.2161117140863633, 0.21599542600201566, 0.21511357469571285, 0.21451275292658345, 0.21394100317854098, 0.21294286378789054, 0.2124680207768044, 0.21146988138615397, 0.21086905961702457, 0.2103845259322428, 0.20959958136289636, 0.2094154585626793, 0.2090084502674626, 0.20872742073028916, 0.2084270098457245, 0.20749670517094349, 0.20710907822311808, 0.20627568028529344, 0.2051127994418172, 0.2047348631676874, 0.2040468253352973, 0.2038530118613846, 0.2025350802387782, 0.20153694084812776, 0.20106209783704163, 0.20081014032095512, 0.2006938522366075, 0.2000930304674781, 0.19936622994030545, 0.19913365377161021, 0.19860066671835025, 0.19821303977052485, 0.1969920148848748, 0.196614078610745, 0.19629428637878904, 0.19568377393596403, 0.19516047755639973, 0.1942786262500969, 0.19393945267074966, 0.19344522831227226, 0.1925439956585782, 0.19216605938444842, 0.19157492828901465, 0.19081905574075508, 0.189917823087061, 0.1890650438018451, 0.1885998914644546, 0.1884060779905419, 0.18805721373749903, 0.1876889681370649, 0.18713659973641367, 0.18647763392511046, 0.18597371889293743, 0.1858477401348942, 0.18473331265989612, 0.1843166136909838, 0.18405496550120165, 0.18371579192185442, 0.18294053802620358, 0.18255291107837818, 0.18202961469881387, 0.1819036359407706, 0.18115745406620667, 0.18092487789751144, 0.18000426389642607, 0.17941313280099233, 0.17895767113729746, 0.178385921389255, 0.1780079851151252, 0.1772327312194744, 0.1766609814714319, 0.17634118923947592, 0.17580820218621598, 0.1754011938909993, 0.17494573222730445, 0.17465501201643538, 0.17406388092100164, 0.17368594464687184, 0.17336615241491588, 0.173017288161873, 0.17278471199317777, 0.17248430110861307, 0.1718640979920924, 0.1715346150864408, 0.17096286533839833, 0.17061400108535546, 0.17020699279013876, 0.16937359485231412, 0.16876308240948912, 0.16841421815644625, 0.16801690053492518, 0.16750329482905651, 0.16688309171253585, 0.16663113419644934, 0.1660787657957981, 0.1658558803007985, 0.16524536785797347, 0.1643441352042794, 0.16396619893014963, 0.16330723311884643, 0.16278393673928213, 0.16224125901232653, 0.1619020854329793, 0.1615435305062408, 0.16120435692689356, 0.16070044189472052, 0.16038064966276455, 0.159518179703853, 0.15914993410341888, 0.15865570974494148, 0.15844251492363748, 0.157977362586247, 0.1577060237227692, 0.15719241801690054, 0.156940460500814, 0.15667881231103187, 0.15604891852081557, 0.15585510504690286, 0.15548685944646873, 0.1551476858671215, 0.15495387239320876, 0.1542755252345143, 0.15375222885495, 0.15346150864408092, 0.15316109775951625, 0.15255058531669122, 0.15191100085277928, 0.15164935266299714, 0.15092255213582448, 0.15047678114582524, 0.15006977285060857, 0.14975967129234824, 0.1493332816497403, 0.1488196759438716, 0.14816071013256843, 0.14792813396387317, 0.14762772307930846, 0.14737576556322196, 0.1468330878362664, 0.14641638886735406, 0.14613535933018063, 0.14562175362431196, 0.14520505465539965, 0.14463330490735715, 0.14406155515931468, 0.14350918675866345, 0.14313125048453368, 0.14282114892627334, 0.14224939917823087, 0.1416001240406233, 0.1413772385456237, 0.14086363283975503, 0.1405535312814947, 0.14003992557562603, 0.13964260795410496, 0.1391290022482363, 0.13859601519497636, 0.13825684161562912, 0.13803395612062952, 0.1378401426467168, 0.13757849445693465, 0.1373459182882394, 0.13679354988758818, 0.13658035506628421, 0.13613458407628498, 0.13590200790758974, 0.1354562369175905, 0.135097681990852, 0.13494263121172184, 0.13414799596867974, 0.13297542445150787, 0.13275253895650826, 0.13248120009303047, 0.13222924257694396, 0.1315315140708582, 0.13095976432281572, 0.1307562601752074, 0.13036863322738196, 0.13014574773238236, 0.12989379021629582, 0.12942863787890535, 0.12909915497325375, 0.12879874408868905, 0.12867276533064578, 0.12839173579347235, 0.12817854097216838, 0.12773276998216915, 0.1273063803395612, 0.12716102023412668, 0.12674432126521437, 0.1265117450965191, 0.12625009690673697, 0.12583339793782464, 0.12554267772695557, 0.1253585549267385, 0.12485463989456547, 0.12473835181021785, 0.12442825025195751, 0.12422474610434918, 0.1240115512830452, 0.12385650050391503, 0.12367237770369796, 0.12350763625087216, 0.12331382277695946, 0.12310062795565548, 0.12293588650282967, 0.12271300100783006, 0.12217032328087449, 0.1218989844173967, 0.12174393363826654, 0.12155012016435382, 0.1212400186060935, 0.12112373052174587, 0.12092022637413753, 0.12065857818435538, 0.1204163113419645, 0.12010620978370416, 0.11961198542522676, 0.11918559578261881, 0.11895301961392356, 0.11880765950848902, 0.11856539266609814, 0.1183618885184898, 0.11823590976044655, 0.1180614776339251, 0.11775137607566478, 0.11739282114892627, 0.11716024498023103, 0.11696643150631832, 0.1168501434219707, 0.11653035119001473, 0.11637530041088456, 0.11606519885262423, 0.11581324133653771, 0.11524149158849523, 0.11468912318784402, 0.11420458950306225, 0.11393325063958447, 0.11371036514458485, 0.1129835646174122, 0.11275098844871695, 0.1125959376695868, 0.11228583611132646, 0.11216954802697883, 0.11149120086828436, 0.11138460345763238, 0.11119078998371967, 0.11078378168850299, 0.11055120551980774, 0.10997945577176525, 0.10966935421350492, 0.10933987130785332, 0.10910729513915808, 0.10884564694937592, 0.1082642065276378, 0.10801224901155128, 0.10780874486394294, 0.10763431273742151, 0.10751802465307388, 0.10721761376850919, 0.10702380029459647, 0.10633576246220637, 0.1061516396619893, 0.1054926738506861, 0.10525040700829522, 0.10489185208155671, 0.10445577176525311, 0.10411659818590588, 0.10399061942786263, 0.10381618730134119, 0.10358361113264594, 0.10334134429025506, 0.10323474687960307, 0.102944026668734, 0.1025563997209086, 0.10233351422590899, 0.10190712458330103, 0.10175207380417087, 0.101403209551128, 0.10109310799286766, 0.10086053182417241, 0.1007442437398248, 0.10055043026591208, 0.10033723544460811, 0.10013373129699976, 0.09991084580200016, 0.09980424839134816, 0.09963950693852236, 0.09934878672765331, 0.09890301573765409, 0.09863167687417629, 0.09851538878982867, 0.09804054577874254, 0.09780796961004729, 0.09751724939917823, 0.09741065198852625, 0.09670323280874486, 0.09647065664004961, 0.09627684316613691, 0.09613148306070238, 0.09581169082874641, 0.09556942398635553, 0.09510427164896504, 0.09492014884874797, 0.09480386076440034, 0.09464880998527017, 0.09450344987983565, 0.09412551360570587, 0.09358283587875028, 0.09346654779440267, 0.09320489960462051, 0.09301108613070781, 0.09285603535157765, 0.0926525312039693, 0.0924587177300566, 0.09212923482440499, 0.09202263741375301, 0.09179975191875339, 0.09168346383440577, 0.09144119699201489, 0.09123769284440654, 0.0910632607178851, 0.09085006589658114, 0.09068532444375534, 0.09014264671679975, 0.08980347313745252, 0.08965811303201798, 0.08926079541049693, 0.08906698193658423, 0.08888285913636716, 0.0887568803783239, 0.08849523218854174, 0.0882626560198465, 0.08803977052484689, 0.08784595705093418, 0.08769090627180402, 0.08758430886115202, 0.08742925808202186, 0.08732266067136987, 0.0871385378711528, 0.08701255911310954, 0.08685750833397937, 0.08666369486006667, 0.08643111869137142, 0.0862857585859369, 0.08608225443832855, 0.08594658500658965, 0.08575277153267695, 0.08551050469028607, 0.08538452593224281, 0.08527792852159082, 0.08505504302659121, 0.08473525079463524, 0.08461896271028761, 0.08445422125746183, 0.08430886115202729, 0.08415381037289713, 0.0840375222885495, 0.08390185285681061, 0.08374680207768044, 0.08363051399333282, 0.08348515388789829, 0.08316536165594232, 0.0829424761609427, 0.08282618807659509, 0.08251608651833475, 0.0823901077602915, 0.08205093418094427, 0.08191526474920537, 0.0817311419489883, 0.0815664004961625, 0.08132413365377161, 0.08120784556942398, 0.0810721761376851, 0.0809365067059462, 0.08068454918985968, 0.0805779517792077, 0.08032599426312118, 0.08001589270486084, 0.07984146057833941, 0.07973486316768742, 0.07961857508333979, 0.07939568958834019, 0.07926971083029692, 0.07912435072486239, 0.0790177533142104, 0.07870765175595007, 0.07841693154508102, 0.0781940460500814, 0.0780583766183425, 0.0777288937126909, 0.07757384293356075, 0.07726374137530041, 0.07700209318551826, 0.07674044499573611, 0.07662415691138848, 0.07640127141638886, 0.07628498333204124, 0.07617838592138926, 0.07607178851073727, 0.07592642840530274, 0.07569385223660749, 0.07538375067834716, 0.07511241181486937, 0.07481200093030467, 0.0746569501511745, 0.07453097139313125, 0.07411427242421893, 0.07384293356074115, 0.07365881076052407, 0.0734456159392201, 0.07332932785487246, 0.07312582370726413, 0.07297077292813396, 0.07276726878052563, 0.07257345530661291, 0.07237964183270021, 0.07226335374835259, 0.07210830296922242, 0.07186603612683154, 0.07159469726335375, 0.07143964648422359, 0.07116830762074579, 0.07101325684161564, 0.07081944336770292, 0.07047057911466005, 0.0702380029459648, 0.07000542677726955, 0.06981161330335685, 0.06965656252422668, 0.0695499651135747, 0.06942398635553143, 0.06931738894487945, 0.06910419412357548, 0.06894914334444531, 0.06850337235444608, 0.06839677494379409, 0.06824172416466392, 0.06791224125901232, 0.06775719047988216, 0.06744708892162184, 0.06721451275292659, 0.06698193658423134, 0.06673966974184045, 0.06653616559423212, 0.06630358942553687, 0.0661485386464067, 0.06602255988836343, 0.06586750910923328, 0.06571245833010311, 0.06556709822466858, 0.06545081014032096, 0.0653248313822777, 0.06516978060314753, 0.06505349251879991, 0.06494689510814791, 0.06484029769749593, 0.06460772152880068, 0.06441390805488797, 0.06429761997054036, 0.06407473447554074, 0.0639293743701062, 0.06378401426467167, 0.06362896348554152, 0.06351267540119389, 0.06338669664315064, 0.06319288316923792, 0.06296030700054268, 0.0625823707264129, 0.06243701062097837, 0.06214629041010931, 0.061913714241414064, 0.06176835413597953, 0.061622994030545004, 0.06141948988293666, 0.06122567640902395, 0.06102217226141561, 0.06082835878750291, 0.06067330800837274, 0.06044073183967749, 0.060256609039460424, 0.0601403209551128, 0.05991743546011319, 0.05965578727033103, 0.05942321110163579, 0.05926816032250562, 0.059151872238157994, 0.05904527482750601, 0.05881269865881076, 0.05867702922707187, 0.058512287774246066, 0.058240948910768274, 0.057659508489030155, 0.057504457709899995, 0.05730095356229165, 0.057145902783161485, 0.05696177998294442, 0.05682611055120552, 0.056690441119466625, 0.05643848360338011, 0.056302814171641215, 0.056109000697728506, 0.05579889913946818, 0.05563415768664238, 0.05540158151794713, 0.05521745871773006, 0.05502364524381735, 0.05487828513838282, 0.054616636948600666, 0.054510039537948675, 0.0542968447166447, 0.05414179393751454, 0.05397705248468874, 0.05368633227381968, 0.05356035351577642, 0.05335684936816808, 0.052756027599038684, 0.05260097681990852, 0.0524846887355609, 0.05232963795643073, 0.05222304054577874, 0.05206798976664858, 0.05191293898751841, 0.051757888208388246, 0.05164160012404062, 0.051467167997519186, 0.051263663849910844, 0.051108613070780684, 0.05083727420730289, 0.0507306767966509, 0.05057562601752074, 0.050459337933173115, 0.05032366850143422, 0.05014923637491278, 0.04998449492208698, 0.04986820683773936, 0.04976160942708737, 0.049645321342739746, 0.0494418171951314, 0.049325529110783785, 0.04921893170013179, 0.04898635553143654, 0.04881192340491511, 0.04868594464687185, 0.048569656562524224, 0.048453368478176606, 0.04821110163578572, 0.0480948135514381, 0.04791069075122102, 0.04767811458252578, 0.04756182649817815, 0.047406775719047986, 0.047203271571439644, 0.04689317001317932, 0.046728428560353516, 0.04655399643383208, 0.046398945654701915, 0.046166369486006664, 0.046040390727963405, 0.04586595860144197, 0.045749670517094346, 0.045546166369486, 0.045294208853399485, 0.045139158074269325, 0.045032560663617334, 0.04487750988448717, 0.04476122180013955, 0.04465462438948756, 0.04453833630513993, 0.044286378789053414, 0.044160400031010155, 0.04401503992557563, 0.04385029847274983, 0.04374370106209784, 0.04358865028296767, 0.04330762074579425, 0.043123497945577176, 0.04300720986122955, 0.042890921776881925, 0.04275525234514303, 0.042600201566012866, 0.04245484146057834, 0.042338553376230714, 0.04223195596557873, 0.04210597720753547, 0.04193154508101403, 0.04168927823862315, 0.04152453678579735, 0.04141793937514536, 0.04131134196449337, 0.04114660051166757, 0.04103031242731995, 0.04092371501666796, 0.04071052019536398, 0.04051670672145127, 0.04035196526862547, 0.040235677184277854, 0.04008062640514769, 0.039586402046670285, 0.03944104194123575, 0.039295681835801226, 0.0391793937514536, 0.03899527095123653, 0.038801457477323824, 0.03866578804558493, 0.038549499961237306, 0.03837506783471587, 0.03804558492906427, 0.037929296844716645, 0.03779362741297775, 0.037638576633847586, 0.03744476315993488, 0.037250949686022175, 0.037124970927978916, 0.03698930149624002, 0.03684394139080549, 0.0367373439801535, 0.03658229320102333, 0.036466005116675713, 0.03635940770602372, 0.036175284905806654, 0.03605899682145903, 0.03586518334754632, 0.035748895263198695, 0.03554539111559036, 0.03541941235754709, 0.035293433599503835, 0.035138382820373674, 0.03502209473602605, 0.034905806651678424, 0.0347895185673308, 0.034653849135591906, 0.034392200945809755, 0.03427591286146213, 0.034159624777114504, 0.033994883324288704, 0.03383983254515854, 0.03369447243972401, 0.033578184355376385, 0.03342313357624622, 0.03315179471276843, 0.03303550662842081, 0.03290952787037755, 0.03275447709124738, 0.032570354291030314, 0.03241530351190015, 0.03229901542755252, 0.032153655322117995, 0.032047057911466004, 0.03194046050081402, 0.03183386309016203, 0.03172726567951004, 0.03156252422668424, 0.03145592681603225, 0.03131056671059772, 0.03116520660516319, 0.031010155826033024, 0.030903558415381036, 0.030748507636250873, 0.030612838204511977, 0.030496550120164355, 0.03038026203581673, 0.030225211256686566, 0.030118613846034575, 0.029953872393208777, 0.02979882161407861, 0.029692224203426622, 0.029537173424296456, 0.029430576013644467, 0.029236762539731762, 0.029130165129079774, 0.02901387704473215, 0.02890727963408016, 0.028713466160167456, 0.028325839212342042, 0.028199860454298783, 0.02804480967516862, 0.027928521590820994, 0.02772501744321265, 0.027618420032560664, 0.027482750600821768, 0.027366462516474146, 0.02723079308473525, 0.02710481432669199, 0.026746259399953485, 0.026620280641910226, 0.0265039925575626, 0.02638770447321498, 0.026232653694084812, 0.02611636560973719, 0.025912861462128848, 0.02575781068299868, 0.02564152259865106, 0.025486471819520892, 0.02532173036669509, 0.025127916892782386, 0.0250213194821304, 0.024885650050391502, 0.024779052639739514, 0.024672455229087526, 0.024527095123652996, 0.024401116365609737, 0.02429451895495775, 0.02416854019691449, 0.024052252112566865, 0.023945654701914877, 0.023800294596480347, 0.02369369718582836, 0.023558027754089463, 0.023451430343437475, 0.023325451585394216, 0.023160710132568416, 0.023044422048220794, 0.022899061942786264, 0.022705248468873555, 0.022550197689743392, 0.022433909605395767, 0.02232731219474378, 0.022211024110396153, 0.02209473602604853, 0.021988138615396544, 0.021881541204744556, 0.021736181099310026, 0.021629583688658034, 0.021348554151484612, 0.021241956740832624, 0.021135359330180636, 0.02101907124583301, 0.020883401814094114, 0.020776804403442126, 0.020612062950616326, 0.020495774866268704, 0.020389177455616716, 0.020263198697573457, 0.020137219939530195, 0.020020931855182573, 0.0198368090549655, 0.019604232886270254, 0.019468563454531358, 0.01936196604387937, 0.019255368633227382, 0.019148771222575394, 0.019042173811923406, 0.018916195053880147, 0.018799906969532522, 0.018693309558880534, 0.01857702147453291, 0.018315373284750757, 0.018199085200403132, 0.018092487789751144, 0.017927746336925343, 0.017821148926273355, 0.01768547949453446, 0.017569191410186837, 0.017452903325839212, 0.017326924567795953, 0.017210636483448328, 0.017094348399100706, 0.016929606946274905, 0.016764865493449105, 0.01664857740910148, 0.01654197999844949, 0.01637723854562369, 0.016270641134971703, 0.016105899682145902, 0.015979920924102643, 0.01586363283975502, 0.01575703542910303, 0.01563105667105977, 0.015485696565625243, 0.015320955112799442, 0.015214357702147453, 0.015098069617799829, 0.014943018838669664, 0.014778277385843863, 0.014613535933018064, 0.014497247848670439, 0.014342197069540274, 0.01422590898519265, 0.014109620900845027, 0.013983642142801768, 0.01387704473214978, 0.013760756647802155, 0.013537871152802543, 0.0133343670051942, 0.013159934878672765, 0.013043646794325141, 0.012927358709977518, 0.012811070625629894, 0.01238468098302194, 0.01221993953019614, 0.012103651445848516, 0.011977672687805255, 0.01176447786650128, 0.011648189782153656, 0.011541592371501666, 0.011425304287154043, 0.011309016202806419, 0.01118303744476316, 0.011057058686719901, 0.010940770602372278, 0.010834173191720288, 0.010679122412590123, 0.0105628343282425, 0.010446546243894876, 0.010320567485851617, 0.010184898054112723, 0.009952321885417474, 0.009768199085200402, 0.009632529653461508, 0.009467788200635709, 0.009254593379331731, 0.00908985192650593, 0.008973563842158307, 0.008866966431506319, 0.008750678347158694, 0.008644080936506706, 0.008440576788898365, 0.008333979378246375, 0.00815954725172494, 0.007985115125203505, 0.007878517714551515, 0.007771920303899527, 0.007665322893247539, 0.0075490348088999145, 0.007432746724552291, 0.007316458640204667, 0.007209861229552679, 0.007093573145205054, 0.006967594387161795, 0.0068416156291185365, 0.0066284208078145595, 0.006521823397162571, 0.006395844639119312, 0.006289247228467323, 0.006163268470424064, 0.00604698038607644, 0.005930692301728816, 0.005688425459337934, 0.005572137374990309, 0.00544615861694705, 0.005329870532599426, 0.0052135824482518025, 0.005068222342817273, 0.0049131715636871074, 0.004806574153035119, 0.004670904721296224, 0.004564307310644236, 0.004457709899992247, 0.004215443057601365, 0.004011938909993022, 0.003808434762384681, 0.0036727653306457865, 0.003566167919993798, 0.0034595705093418095, 0.003352973098689821, 0.003149468951081479, 0.0029459648034731375, 0.0028102953717342428, 0.002597100550430266, 0.0024614311186913714, 0.0022191642763004886, 0.002054422823474688, 0.0018509186758663462, 0.0016474145282580044, 0.0015020544228234746, 0.0013082409489107683, 0.0011434994960849679, 0.0009787580432591674, 0.0008140165904333669, 0.0006395844639119311, 0.0004651523373904954, 0.00030041088456469496, 0.00019381347391270642, 8.721606326071789e-05], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.9825866327081886, 0.9834387523538216, 0.983636486577862, 0.9840435299461675, 0.9844886275723348, 0.9847727030870588, 0.9854098693955794, 0.985684952735162, 0.9858362154987842, 0.9860351978912276, 0.9861769467143591, 0.9862997760260624, 0.9864417957346937, 0.9865454757100729, 0.9866493314963227, 0.9866957787481805, 0.9869817200438796, 0.987152720457569, 0.9873718976152315, 0.9875910990185599, 0.9876664398872582, 0.987761133091602, 0.9878364187927816, 0.9881906614785992, 0.9882182398381103, 0.9884862818379125, 0.9885905648254513, 0.9886759751514089, 0.9887132743190472, 0.9888372636685077, 0.9890383997037931, 0.9891818137517665, 0.9893638800877407, 0.9893820323316628, 0.9894194856992403, 0.9894666003452615, 0.9895330348346063, 0.9895605682172963, 0.9897236210329078, 0.9897998028287245, 0.9899339998437866, 0.9900489253034638, 0.9901639024009065, 0.9903077674645823, 0.9904615775534338, 0.9906444296719196, 0.9906918534162462, 0.9907489805298311, 0.9907769649074762, 0.9908632023790891, 0.9908719132782844, 0.9909000176128692, 0.9909669211195928, 0.991082266337758, 0.9911199443895085, 0.9911383976656287, 0.9911859759083341, 0.9913112473796603, 0.9913782968217267, 0.9913967115448684, 0.9914443638644427, 0.9915211872298297, 0.9916272047217075, 0.9917138178216657, 0.991771282856022, 0.9917703142778671, 0.9917986147899621, 0.991924246884506, 0.9920402013995897, 0.9921950932170942, 0.9922039922629041, 0.9923005155904738, 0.9923191765214316, 0.992415832440982, 0.9924832715946272, 0.9924922121441416, 0.9925304188862462, 0.9926075929457563, 0.9926359980729714, 0.9926837902686544, 0.9927025246117684, 0.9928091523456328, 0.9928473745830915, 0.9928953790443202, 0.9929239248105501, 0.9929424966041301, 0.992961282129532, 0.992960519838535, 0.9929694654233583, 0.9929882612463563, 0.993016842312617, 0.9930160856588421, 0.9930151224077631, 0.9930827897443982, 0.9931211873343123, 0.9931692507860783, 0.9931879571758119, 0.9932458415089874, 0.993264698341321, 0.9933423417203389, 0.993429814436651, 0.9935171937441413, 0.9935557090693773, 0.9935549458141693, 0.9935836689568033, 0.9936025273965841, 0.9936312021723032, 0.9936305103491863, 0.993639631809742, 0.9936683853888856, 0.9936873302049889, 0.9937160980525832, 0.9937251724342379, 0.9937539531941809, 0.9937924421995314, 0.9938604816704235, 0.9938794075187375, 0.9938983989477952, 0.9938976144320925, 0.993896890084672, 0.9939257236698917, 0.9939643998535624, 0.9939637428752375, 0.9939728630385084, 0.9940214002197433, 0.9941093191560981, 0.9941479354391524, 0.9941965258383346, 0.9942155881974227, 0.9942346554661806, 0.9942536707155171, 0.9942628960979767, 0.9942721236745615, 0.9942812967679912, 0.9943003846001348, 0.9943391924178886, 0.9943878158093047, 0.9944068149587949, 0.9944160674435903, 0.9944351862873467, 0.9944442239771419, 0.994453484680108, 0.9945022229279136, 0.9945113296874535, 0.9945304201947607, 0.9945298228893654, 0.9945292254534984, 0.9945285192246585, 0.9945278671592579, 0.9946062996036673, 0.9946056566098092, 0.9946248310945076, 0.9946239230455823, 0.9946331670277684, 0.9946325802379556, 0.9946319933198139, 0.9946412415616953, 0.9946504921944914, 0.9946498006105989, 0.9946688415671219, 0.9947572622363708, 0.9947665336742715, 0.9947857583537325, 0.9948247377535381, 0.9948637806953804, 0.994872969098439, 0.9948722544158353, 0.9948715395339573, 0.9948709266193929, 0.9948700580729348, 0.9949289656684002, 0.9949383232697635, 0.9949377179870453, 0.9949370621007205, 0.9949761767109906, 0.9949855448110856, 0.994984894862259, 0.9949840946939101, 0.9949934675722307, 0.9950028426942757, 0.9950121703044571, 0.9950115233809899, 0.995020804853468, 0.995020258267968, 0.9950591899067734, 0.9950584993810646, 0.9950579566897295, 0.995097060233264, 0.9951263357635074, 0.9951456310679612, 0.9951648834676976, 0.9951742948775589, 0.9952132549866091, 0.9952127287446155, 0.9952221500324854, 0.9952415227127319, 0.9952409993901281, 0.9952404759524047, 0.9952398571957158, 0.9952691484467204, 0.9952785363462674, 0.9952979310896795, 0.9952973665252541, 0.9953068086298683, 0.9953162530024019, 0.9953256060697055, 0.9953547043629738, 0.9953636946246895, 0.9953928127879492, 0.9954215756992867, 0.9954709418837675, 0.9954704426339577, 0.9954698978722551, 0.9954693983922378, 0.9954681264914075, 0.9954873646209387, 0.9955266694750357, 0.9955256372957193, 0.9955351319895251, 0.9955342358525595, 0.9955636743215032, 0.9955731780766914, 0.9956125819503429, 0.9956120092378753, 0.9956114363758699, 0.9956402941294652, 0.9956397685259605, 0.9956384539625751, 0.9956372701776254, 0.9956367877106205, 0.9956460095124134, 0.9956453089014713, 0.9956747839906656, 0.9956739136996087, 0.9956733913568446, 0.9956729124318232, 0.9956724334007628, 0.9956711699921477, 0.9956807152493908, 0.9956995528340652, 0.9957290355074289, 0.995768688293371, 0.9957771036373348, 0.9957766354198165, 0.9958054790929348, 0.9958050138152189, 0.9958637665953755, 0.9958733137593203, 0.9958708973983625, 0.9958703554119548, 0.9958692710121801, 0.9958683947349812, 0.9958880581935745, 0.9958870609159627, 0.9958866036687049, 0.9958857720495324, 0.995885231316726, 0.9958838996763754, 0.9959433485078402, 0.9959428559865638, 0.9959719453075186, 0.9959815373403244, 0.9959789324420135, 0.9959784436475617, 0.9959966351465028, 0.9960260738217613, 0.996025630626977, 0.996024784253278, 0.9960443439189395, 0.9960412923657845, 0.9960506411362783, 0.9960686313351416, 0.9960773553651819, 0.9960960136639522, 0.9960955373211725, 0.9961456320553239, 0.9961433179676609, 0.9961428862202321, 0.9961424543761259, 0.9961412761278368, 0.9961610525029531, 0.9961603096195957, 0.9961700263819991, 0.9961688946853603, 0.9961684652461456, 0.9961670982079145, 0.9961759277199351, 0.9961754597097429, 0.9961746404161991, 0.9961836734693877, 0.9961832061068703, 0.9961920124142437, 0.9962207877104102, 0.9962305397785315, 0.9962288061974307, 0.9962269938650307, 0.9962256045170002, 0.9962346777989236, 0.9962342539627314, 0.9962332132328857, 0.9962524190327965, 0.9962826040205225, 0.996289538959841, 0.9962891205625776, 0.9962875983222406, 0.9962871414065785, 0.9962954981580109, 0.9963052670470873, 0.9963046602340382, 0.996302496841716, 0.9963121995315775, 0.9963095458377023, 0.9963086351204063, 0.9963184253555599, 0.9963479996296563, 0.9963475487422192, 0.9963462706229866, 0.9963458569222852, 0.9963454431278889, 0.9963426946613644, 0.996351192562205, 0.9963811075254405, 0.9963895565343869, 0.9963878797886394, 0.9964080385619768, 0.9964062951794787, 0.9964033981686269, 0.9964132513308182, 0.9964116193214134, 0.9964196649385859, 0.9964192573581157, 0.9964188126190279, 0.9964182565397873, 0.996438480970721, 0.9964465164465165, 0.9964666873899077, 0.9964645993385379, 0.9964641594342655, 0.9964637560925024, 0.9964623987218989, 0.9964584674822924, 0.9964670920010806, 0.9964666881436604, 0.9964850249584026, 0.9964846228249904, 0.9964824277492741, 0.9964820250213369, 0.9964802299305419, 0.9964884128042681, 0.9965071056939391, 0.996537879972887, 0.9965366520274147, 0.9965362545644236, 0.9965339764268638, 0.9965334697670534, 0.9965329629590952, 0.9965251611822825, 0.996524761077324, 0.9965221763633697, 0.9965508203595953, 0.9965503502076081, 0.996546584372507, 0.996546113064931, 0.9965423379680718, 0.996561152592281, 0.9965607547407945, 0.9965900121033521, 0.996631508031748, 0.996628811023788, 0.9966284203095531, 0.9966268209896064, 0.9966248642035207, 0.9966665260137558, 0.9966661391570396, 0.9966648372525013, 0.9967048634947457, 0.9967150085029522, 0.9967134116055671, 0.9967129947682715, 0.996733684277288, 0.9967304701139574, 0.996740637268908, 0.9967387045880497, 0.9967383246849518, 0.9967368041870617, 0.9967345554012362, 0.9967647495597938, 0.9968066709810204, 0.9968031777050852, 0.9968125796855078, 0.9968438838294209, 0.9968414335850261, 0.9968809214588346, 0.9968795262843998, 0.9968870267907591, 0.9968865621034898, 0.9968845690142648, 0.9969054453490978, 0.9969241942029604, 0.9969451298319821, 0.9969432034372929, 0.9969427786507605, 0.9969403583845948, 0.9969399655478639, 0.9969367864104706, 0.9969456322541234, 0.9969542929455419, 0.9969646266383508, 0.996961791576755, 0.9969613674920008, 0.9969697946552335, 0.9969671875504125, 0.9969882757878885, 0.9969868821763319, 0.9969864930312652, 0.9969861037856689, 0.9969931780706764, 0.9969928215740801, 0.9970032123838475, 0.9970005286837932, 0.9969983912240733, 0.9970044662650993, 0.9970041098853558, 0.9970125667031076, 0.9970121786197564, 0.9970093944023665, 0.9970162856553865, 0.9970267484129999, 0.9970263934710887, 0.9970245851793936, 0.9970226452818708, 0.9970222893595748, 0.9970532908543281, 0.9970529383618252, 0.9970525857849801, 0.9970500832725571, 0.9970714075751472, 0.9970709930313589, 0.9970684394071491, 0.9970680240225839, 0.9970667771622977, 0.9970864887278759, 0.9970969572619723, 0.9970955625436757, 0.9970951819333421, 0.9970913385310166, 0.9970909886264216, 0.9970906068162926, 0.9970882819769032, 0.997087899455897, 0.9970869427135238, 0.9970865917504546, 0.9970833653139768, 0.9970938839966224, 0.9970928956952916, 0.9971034845958044, 0.9971014810992413, 0.9971208158421064, 0.9971204677591304, 0.9971184091858956, 0.9971143467630019, 0.9971139971139971, 0.9971124703807792, 0.9971231110082338, 0.9971191735008113, 0.9971149700995944, 0.9971145235647242, 0.9971134066225752, 0.9971240846846449, 0.997120421747461, 0.9971407673382539, 0.9971404187402325, 0.9971379126730564, 0.9971375316202903, 0.9971666981477983, 0.9971663518168685, 0.9971645558360113, 0.997164208981117, 0.9971602614786685, 0.9971599135722718, 0.9971589009960559, 0.997158489430695, 0.9971559540937531, 0.997153859032312, 0.9971535095552777, 0.9971836967333118, 0.9971944962947232, 0.9971920168255247, 0.9971906968414926, 0.9971902880234628, 0.9972103653413101, 0.9972099902517731, 0.9972076749688807, 0.9972054499337838, 0.9972050735211584, 0.9972024043593056, 0.997202058565746, 0.9972331260052413, 0.9972327836396769, 0.9972289808056232, 0.9972510449409088, 0.9972501774987885, 0.9972498365681567, 0.9972476339804401, 0.9972585430792315, 0.9972557876905703, 0.9972541442082783, 0.9972512245059557, 0.9972711317443242, 0.9972707609028005, 0.9972680073457728, 0.9972653723518933, 0.9972763484912105, 0.997273594765302, 0.9972732540304714, 0.9972695003185583, 0.9972918539421731, 0.9972899111819631, 0.9972895408163265, 0.9972873164949394, 0.997307104224195, 0.9973052593116993, 0.9973049208034991, 0.9973019629362875, 0.9972985347985348, 0.9972981945986789, 0.997328808740413, 0.9973284718400294, 0.997325466608508, 0.9973354159966923, 0.9973433618548164, 0.997352426558615, 0.9973635432137142, 0.9973586777240798, 0.9973582511391821, 0.9973534272539207, 0.9973530907577789, 0.9973515295206152, 0.9973511925416985, 0.9973484936201746, 0.9973465273110704, 0.9973437264386216, 0.9973433874709977, 0.9973371164110376, 0.9973367447810665, 0.9973479737588983, 0.9973456581719967, 0.9973452873027886, 0.9973420997412045, 0.9973533252495103, 0.9973512870178058, 0.9973580229594818, 0.9973539398196932, 0.9973652778753601, 0.9973638579060831, 0.9973868922766848, 0.9973834275925187, 0.9973922542904465, 0.9973872209210635, 0.9973831555372193, 0.9973828161840989, 0.9973809018192115, 0.9973923303834809, 0.9973874289226986, 0.9973827879821414, 0.9973824469975128, 0.9973789700894233, 0.9973786281091724, 0.997375078688252, 0.9973817004665334, 0.9973813264771699, 0.9973769240857985, 0.9973734793042108, 0.9973697739201128, 0.9973694279701549, 0.9973677283495657, 0.9973639435404634, 0.997363564460849, 0.9973631536682128, 0.9973584679113886, 0.9973537973008733, 0.9973487587370451, 0.9973484072364377, 0.997381630387567, 0.9973778970008942, 0.9973721814526871, 0.9973811833171679, 0.9973807704900142, 0.9973764438668302, 0.9973723267073794, 0.9973719750337628, 0.997367715518292, 0.9973977422665299, 0.9973972970991472, 0.997396947217911, 0.9973921667054373, 0.9973918154433914, 0.9973876890246146, 0.9974117416157602, 0.9974100578134014, 0.9974096444706344, 0.9974067792444018, 0.9974186886938565, 0.9974183078852253, 0.9974142707627901, 0.9974138249528947, 0.9974110830302657, 0.99741956194286, 0.9974175532243517, 0.9974171702566764, 0.9974140384306059, 0.997413654419681, 0.9974095833023475, 0.9974091979670262, 0.9974075268550447, 0.9974016286442469, 0.9973977787738433, 0.9973924868688633, 0.9973921289710763, 0.9973879571075062, 0.9973941041606635, 0.9973937449879712, 0.9973900495639626, 0.9973896565139365, 0.997387000326625, 0.9973959643737734, 0.9973955056745263, 0.9973916659316289, 0.9973887375113533, 0.9973832248277605, 0.9973811722733196, 0.997380774632739, 0.9973766585980965, 0.9973986752277746, 0.9973942113358163, 0.9974034900148917, 0.9974031264320994, 0.997402134324937, 0.9974003797484485, 0.9974087973245513, 0.9974210680863559, 0.9974153594185838, 0.9974149294224542, 0.9974613431802446, 0.9974865672407381, 0.9974837922844855, 0.9974798127860927, 0.9974919291566451, 0.997488537427232, 0.9974961280330408, 0.9975214933002866, 0.9975178405212535, 0.9975144022266813, 0.9975216370171409, 0.9975195127336008, 0.9975191583322509, 0.9975143154606976, 0.9975139595725573, 0.9975076662099562, 0.9975054527407369, 0.9975009485928116, 0.9975397500490741, 0.9975364293951148, 0.9975306696088475, 0.997540088662045, 0.9975505366431817, 0.9975501172255736, 0.997546271255755, 0.9975702514261567, 0.9975698984376031, 0.997565171364298, 0.9975647846687313, 0.9975622681505034, 0.9975728799172392, 0.9975693337583679, 0.9975689785724723, 0.9975654209959157, 0.9975741742862474, 0.9975681128823207, 0.9975650219415605, 0.9975780120965584, 0.9976012114552204, 0.9976115077022167, 0.9976111551004523, 0.9976054348557207, 0.9976287034666739, 0.9976283519741275, 0.9976252158894646, 0.9976248633621678, 0.9976220393714618, 0.997619112037012, 0.9976152084660099, 0.9976148529611059, 0.9976120699012265, 0.9976230576985765, 0.9976362549584307, 0.9976452974002994, 0.9976412200209972, 0.9976359338061466, 0.9976355783949268, 0.9976295524923954, 0.9976428346284039, 0.997637752018898, 0.9976373950907268, 0.997632125992924, 0.9976301032007385, 0.9976297112933232, 0.9976249326834118, 0.9976244734479663, 0.9976198054329325, 0.9976165401030985, 0.9976117745070814, 0.9976095839008255, 0.9976209357652657, 0.9976205716194028, 0.9976177208135971, 0.9976132985330858, 0.9976129320453403, 0.9976065169923296, 0.9976445516235769, 0.9976412445243177, 0.997637496308588, 0.9976472577168538, 0.9976422086998263, 0.9976383408991275, 0.9976345274012379, 0.9976341587805293, 0.9976314744426165, 0.9976273690790782, 0.9976269982238011, 0.9976208792774311, 0.9976170771382096, 0.9976166690452405, 0.9976686976172088, 0.9976682974279747, 0.9976652247400235, 0.9976648568113118, 0.9976609361995236, 0.9976605669178328, 0.9977001250557, 0.9976997282804031, 0.9976929953571532, 0.9976873599768736, 0.9976869922225113, 0.997684615718565, 0.9976803525864069, 0.9976744186046511, 0.9976740467225864, 0.9976714063250426, 0.9976710334788937, 0.9976648471934382, 0.99766129739527, 0.99765701650339, 0.9976566390345353, 0.9976529609364686, 0.9976497892154703, 0.9976451195101849, 0.9976447381979303, 0.9976410921743233, 0.9976350252756674, 0.9976319100125804, 0.9976462925406717, 0.9976457697888597, 0.9976429778528862, 0.9976354064424021, 0.997632977535617, 0.997627750839239, 0.9976226076555024, 0.9976221098914246, 0.9976216119188656, 0.9976186553640163, 0.9976141888242003, 0.9976106753223334, 0.9976102803035997, 0.9976649945014386, 0.99766460750339, 0.9976601301269568, 0.9976596355071041, 0.9976566633910349, 0.9976713592306413, 0.9976661716121602, 0.9976791104773751, 0.99767868792766, 0.9976743125541521, 0.9977155389043725, 0.9977106576517453, 0.9977102732407266, 0.9977031558638431, 0.9977002330430517, 0.9976948965008529, 0.9977098415333303, 0.9977059629566905, 0.9977155558299633, 0.9977119181237729, 0.9977115289460663, 0.9977097228455146, 0.9977092974662972, 0.9977046078446578, 0.9977011494252873, 0.9977007208550833, 0.9976957449127342, 0.9977052404814312, 0.9977029455426205, 0.9976949854172547, 0.997692995809727, 0.9976890426033642, 0.9976848570753603, 0.9976810954063604, 0.9976806929521466, 0.9976749703440095, 0.9976712871287129, 0.9977130151671564, 0.9977059470137484, 0.9977013329076543, 0.9977008925007584, 0.9976937490991208, 0.9977069001459246, 0.997738500032078, 0.9977334833628034, 0.9977330825254426, 0.9977326450865937, 0.9977273093599394, 0.9977245586289255, 0.9977178926924011, 0.9977174124198666, 0.99771593338949, 0.9977275309623906, 0.9977205750663476, 0.9977201667535175, 0.9977148826429014, 0.9977307604401345, 0.9977245567796749, 0.997738335218054, 0.9977316062857519, 0.9977259994067824, 0.9977716888947576, 0.9977666015948119, 0.9977625298329356, 0.9977729395535907, 0.997768117390363, 0.9977633862999066, 0.997779632721202, 0.9977896481856695, 0.9977854949921989, 0.9977791611285899, 0.9977733544752201, 0.9977729412360176, 0.9977648333784882, 0.9977644169701075, 0.9977584947952929, 0.9977543000051039, 0.997747363391242, 0.9977416981745394, 0.9977553887803708, 0.9977548117298233, 0.9977543883708173, 0.9977493342496349, 0.9977461202298613, 0.9977456547926347, 0.9977425080563167, 0.9977397815697303, 0.9977565706593956, 0.997752187294671, 0.9977477477477478, 0.9977419578961996, 0.9977366111846229, 0.9977535525215938, 0.9977506146576226, 0.9977629026338326, 0.9977924558053156, 0.9977919915885394, 0.9977886589796241, 0.9977820415779189, 0.9978147854436514, 0.9978281214133102, 0.9978208875896891, 0.9978204628415495, 0.997852630084475, 0.9978520201661578, 0.9978483533679493, 0.9978814690854712, 0.9978776907848977, 0.9978738989834022, 0.9978710462287105, 0.9978671924007527, 0.9978626338099001, 0.9978575157985705, 0.9978570914067565, 0.997852063102415, 0.9978498509350439, 0.9978494235009217, 0.9978443591044127, 0.9978397807105125, 0.9978523196767559, 0.9978474616465094, 0.9978442369877779, 0.9978389069997436, 0.9978713252835174, 0.9978674510524864, 0.997866902042993, 0.9978610414515415, 0.997860607513694, 0.997875995050145, 0.9978875979765413, 0.9978833228118386, 0.9979384506806828, 0.9979353830701412, 0.9979289499216359, 0.9979259314623118, 0.9979363262855749, 0.9979359003227501, 0.9979268361635161, 0.9979228430613517, 0.9979180073437559, 0.9979156797726196, 0.9979291346062505, 0.9980045610034207, 0.998001864926069, 0.9979969859407489, 0.9979925821129507, 0.9980083877515846, 0.9980040686293326, 0.9980003845414344, 0.9979999615377219, 0.9979940206384416, 0.9979915025106219, 0.997989016938665, 0.9980032568238213, 0.9980005435415615, 0.9980001164980681, 0.9979952899044356, 0.9979948606136115, 0.9979912629690303, 0.997986354127974, 0.9979821330616723, 0.9979950465856823, 0.9979912956143288, 0.9979872128818376, 0.9979805179377524, 0.9979762707829054, 0.9979758290170864, 0.9979708761040821, 0.9979704319796248, 0.9979628113203779, 0.9979591428399928, 0.9980140022869065, 0.9980478576747369, 0.9980444336921899, 0.9980401268866305, 0.9980354032486733, 0.9980296166893498, 0.9980225067275544, 0.9980387349840647, 0.9980291925848371, 0.9980214344600165, 0.9980169796120716, 0.998010651304474, 0.998010115247492, 0.9980071824465987, 0.9980013324450366, 0.9979975804096617, 0.9980767622710929, 0.9980720871751886, 0.998069781591591, 0.9980692955027177, 0.9980606265019605, 0.9980581294721067, 0.998053857381592, 0.9980704804715661, 0.998067940552017, 0.9980631292169508, 0.9980604045441951, 0.998055597102626, 0.9980510162558095, 0.9980464557125069, 0.9980839612486545, 0.9980808625336928, 0.9980757588861022, 0.998075259515571, 0.9980715895302479, 0.9980654276709053, 0.9980579558348608, 0.9980735129928413, 0.9980883742391949, 0.9980855979755748, 0.9980801059251904, 0.9980742413174846, 0.9980703544337488, 0.9980643438793219, 0.9980584257626816, 0.9980579490155811, 0.998053734815776, 0.9980473133725367, 0.9980436249156734, 0.9980358070123947, 0.998116889009892, 0.9981164189265858, 0.9981118769762733, 0.9981063630763615, 0.9981042870520521, 0.9980967667966063, 0.9980930499712809, 0.9980925679091787, 0.9980893186003683, 0.9981998199819982, 0.9981931478607334, 0.9981881112220957, 0.9981852446429818, 0.9981761212177899, 0.998172189154989, 0.9981676807066175, 0.998167207105597, 0.9981623710125807, 0.99815976973529, 0.998151264487687, 0.9981447565587612, 0.9981387801851676, 0.998133301423956, 0.9981300345224395, 0.9981246844420936, 0.9981440863843428, 0.998139961832983, 0.9981358640391227, 0.9981316574867154, 0.9981265662635945, 0.9981205301569479, 0.9981150089353472, 0.998109640831758, 0.9981041953909789, 0.9980983428416191, 0.9980940594059406, 0.9980915084518911, 0.99808552958727, 0.9980821440135496, 0.9980766829024603, 0.998072590738423, 0.998066977958528, 0.9980664440147653, 0.9980554082379979, 0.9980548187444739, 0.9980504848469504, 0.9980395152255831, 0.9980358144992603, 0.9980266024244598, 0.9980208708168405, 0.9980157196237598, 0.9980106957397886, 0.9980041472265423, 0.9979991684856044, 0.9979939558149229, 0.9979933807625153, 0.9979889260342666, 0.9979883480941557, 0.9979837653836082, 0.9980043589002967, 0.9979962561628305, 0.9979916494899846, 0.9979870749020023, 0.997981997291628, 0.9979796368663104, 0.9979720895482562, 0.9979660654070546, 0.9979631217838765, 0.9979573736124923, 0.997980233215738, 0.9979748886188741, 0.997974286949006, 0.9979680853945978, 0.9979646113764655, 0.9979594612977826, 0.9980601622906478, 0.9980547945205479, 0.9980483782297966, 0.9980442387681459, 0.9980378067654212, 0.9980895423207907, 0.9980822146251981, 0.9981045824506634, 0.9981040011152935, 0.9980990187582119, 0.9980924060930794, 0.9980901558769836, 0.9980847767920011, 0.9980770318420904, 0.9980711955750957, 0.9981489391997722, 0.9981429632592423, 0.9981352382591732, 0.9981279880191233, 0.9981242063950133, 0.9981191041148214, 0.9981440668135947, 0.9981386150132333, 0.9981360671015843, 0.9981316050680212, 0.9981268475429508, 0.998122726739411, 0.9981185877649411, 0.9981161510611368, 0.9981107011070111, 0.998106228732061, 0.9981025230513801, 0.9980935358951445, 0.9980900083562134, 0.9980826842420611, 0.9980765763058244, 0.9980726374751551, 0.9980662899960722, 0.9980638330055968, 0.9980583113376414, 0.9980553023397144, 0.99805192828661, 0.998046994202014, 0.9980392156862745, 0.99803240384911, 0.9980265186555658, 0.9980207817911925, 0.9980159345258394, 0.9980133478193388, 0.9980067893736958, 0.9980008746173549, 0.9979968701095462, 0.9979859013091642, 0.9979815819351583, 0.9979710880040579, 0.9979643765903308, 0.9979602243753187, 0.9979520655339029, 0.9979475996536574, 0.9979441053646001, 0.9979372139495907, 0.9979342844232135, 0.9979601748421564, 0.9979560717645913, 0.9979520187244002, 0.9979446691896124, 0.9979411091865747, 0.9979355768915686, 0.9979310344827587, 0.9979264720402857, 0.9979193500445853, 0.9979172865218685, 0.9979100318471338, 0.9979395147889665, 0.9979281537176274, 0.997991093849399, 0.9979838709677419, 0.9979734522241361, 0.9979687870273198, 0.997963201846697, 0.9979550102249489, 0.9979439380439997, 0.9979382860284517, 0.9979335285000861, 0.9980313600884161, 0.9980285684640128, 0.9980217263040988, 0.9980151821157462, 0.9980108877721943, 0.9980049002450122, 0.9980006313795643, 0.9979939466460196, 0.997988495606451, 0.997983799653355, 0.9979767144682664, 0.9979706636285959, 0.9979651577895188, 0.9979590375250644, 0.9979558902635826, 0.9979492714517, 0.9979458719233125, 0.9979406770475812, 0.9979704262104958, 0.9979682171105144, 0.9979608928376361, 0.9979538894369542, 0.9979463860060875, 0.9979416305226788, 0.9979390549094657, 0.9980071594641473, 0.9980028847220681, 0.9979973297730307, 0.9980289337647366, 0.9980254088893856, 0.9980177282417624, 0.9980139398935771, 0.9980105105105105, 0.9980038416632142, 0.997999849045211, 0.9979916635089049, 0.9979860161118711, 0.9979761722926531, 0.9979694264587564, 0.997961460056156, 0.9979535099235463, 0.997948995781897, 0.9980606624776976, 0.9980593828837571, 0.9980540961276513, 0.9980471038550169, 0.9981606856337808, 0.9981554160125589, 0.9981504073039235, 0.9981815306767868, 0.9981767736821244, 0.9981725726998252, 0.9981662348016743, 0.9981627925553159, 0.9981555733761026, 0.9981489678483764, 0.9981452360791904, 0.9981356893896409, 0.9981308411214953, 0.998128331366725, 0.9981198397776506, 0.9981162209754699, 0.9981122783978988, 0.9981055926200477, 0.9980988593155894, 0.998094606909121, 0.9980902561547723, 0.9980873976134048, 0.9980820547031354, 0.9980764405787405, 0.9980738631605394, 0.9980702269580903, 0.9980631578947369, 0.9980575144630717, 0.9980535691617654, 0.9980454642022519, 0.998041553133515, 0.9980781550288277, 0.9980733827118209, 0.9980665950590762, 0.9980585875145606, 0.9980536332179931, 0.9980452630207202, 0.9980430528375733, 0.9980347628613853, 0.9981109695558582, 0.9981043071904069, 0.9980980184005662, 0.9980916030534351, 0.9980906709293548, 0.9980801000133946, 0.9980755460078768, 0.9980745119111589, 0.9980666336945281, 0.9980612290905811, 0.9980560578661845, 0.9980469637098606, 0.9980426074289876, 0.9980333866910588, 0.9980277943402284, 0.9980232611593803, 0.998015873015873, 0.9980141319909481, 0.9980102725463884, 0.9980075989250301, 0.9980047329590275, 0.9979958051736192, 0.9979920616390381, 0.9979839654929907, 0.9979725588193691, 0.9979688238072745, 0.9979619887198445, 0.9979600550310735, 0.9979468080026739, 0.997936660268714, 0.9979317974123418, 0.9979292078015892, 0.9979280104081337, 0.9979218017495529, 0.9979142413659293, 0.9979118104118104, 0.9979062180454789, 0.9979021320193199, 0.9978891561533553, 0.9978851072201456, 0.9978816690477363, 0.9978750741253212, 0.997869388564067, 0.9978597381912299, 0.997856003191065, 0.9978505373656585, 0.997840498192045, 0.9978362602526041, 0.997829598223299, 0.99782101956015, 0.9978107021027443, 0.9978008489745819, 0.9977954370674186, 0.9977931742365922, 0.9977890894133374, 0.9977847612178662, 0.9977782370569391, 0.9977704034014311, 0.9977643755849017, 0.9977628635346756, 0.9977493980948393, 0.9977443214604207, 0.9977411220844715, 0.9977369612125677, 0.99772739284393, 0.9977225782532705, 0.9977160461039996, 0.9977144679493993, 0.9977050755190265, 0.9977021322075562, 0.9976904071328822, 0.997682815110201, 0.9976769313884387, 0.9976695030079671, 0.9976645665870085, 0.9976543748636264, 0.997646801291523, 0.9976425438596491, 0.9976354138025846, 0.9976299399217329, 0.9976237842617153, 0.9976198383704196, 0.9976117745070814, 0.9976065902259824, 0.9976021859142363, 0.9975973626864838, 0.9975941364068707, 0.9975899562829279, 0.9975812802339971, 0.9975766456266907, 0.9975685609273396, 0.9975636013371862, 0.9975577895155336, 0.9975458021802408, 0.9975369458128078, 0.9975318562736769, 0.9975260341752489, 0.9975184672206833, 0.9976248406905341, 0.9976212578324437, 0.9976133651551312, 0.9976101655397529, 0.9976013572807582, 0.9975882352941177, 0.9975826896998997, 0.9975729592138756, 0.9975651760793396, 0.9975570517785854, 0.9975519465010747, 0.997546526240201, 0.9975413768289758, 0.9975336862367661, 0.9975287806642156, 0.9975154526724034, 0.9975097181729835, 0.9975019801376958, 0.997498627295467, 0.9974912806706235, 0.9974869751762182, 0.9974787848973066, 0.9974747474747475, 0.9974705410574373, 0.9974603567888999, 0.9974572066484744, 0.9974511998010692, 0.9974456420160738, 0.9974424552429667, 0.9974312386441953, 0.997422518388131, 0.9974176481703092, 0.9974125962387984, 0.9974022682633213, 0.9973913596742381, 0.9973868706182282, 0.9973743195645213, 0.9973665617573383, 0.99735943839763, 0.9973539851565021, 0.9973464500679567, 0.9973373165346149, 0.9973255055446836, 0.9973213119038286, 0.9973158756137479, 0.9973112991015805, 0.9973013887974725, 0.9972937293729373, 0.9972885391177833, 0.9972790018582426, 0.9972712146422629, 0.9972604570359481, 0.9972496142751728, 0.9972390572390573, 0.9972317871852002, 0.9972257933554368, 0.9972146739130435, 0.9972019381696581, 0.9971975393028024, 0.9971873499348288, 0.9971811619113097, 0.99717085288435, 0.9971628261019999, 0.997152382275316, 0.9971414627344349, 0.9971344702264467, 0.9971298564928246, 0.9971258324570628, 0.9971203820761343, 0.997115519909948, 0.9971039061948153, 0.9970993986558189, 0.9970899283128682, 0.997155858930603, 0.9971465258952775, 0.9971389743222946, 0.9971356963838167, 0.9971187783620254, 0.9970934457200988, 0.997088579954873, 0.9970826343811539, 0.9971499561531716, 0.9971348809873641, 0.9971224083228806, 0.9971179426544488, 0.9971093981618737, 0.9971044620981513, 0.9970988618611917, 0.9970884658454647, 0.9970810568071252, 0.9970742685671418, 0.9970714124802883, 0.9970650210716436, 0.9971353185073502, 0.9971253498751796, 0.9971157495256167, 0.9971124620060791, 0.9971029961119159, 0.997097685786298, 0.9970916883514465, 0.997082085540966, 0.9970753482644501, 0.9970710652073378, 0.9970592787494196, 0.9970565453137104, 0.9970492312470881, 0.9970444116045734, 0.9970393455395403, 0.9970356502067244, 0.9971091491522776, 0.99710530433422, 0.9971007679047171, 0.9970957613814757, 0.9970918808457125, 0.9970866141732283, 0.9970737108509965, 0.9970672162333545, 0.9970634920634921, 0.9970588235294118, 0.9970513229199872, 0.9970485003190811, 0.9970435477427088, 0.9970371556694426, 0.9970312123886704, 0.9970235701069906, 0.9970113085621971, 0.9970006485084306, 0.9969948018193632, 0.996991136049443, 0.9969850065189049, 0.9969798383805404, 0.9969766301683282, 0.9969721767594109, 0.9969642271086314, 0.9969549831289606, 0.9969489568730932, 0.9969439167423805, 0.996940884663084, 0.9969325153374233, 0.9969284409762577, 0.9969202596970201, 0.9969135802469136, 0.9968983150305977, 0.996883423180593, 0.9968702419218406, 0.9968628115991182, 0.9968566816753037, 0.9968365253077975, 0.9968300205620287, 0.9968256691832532, 0.9968169304886442, 0.9968136410609714, 0.9967943164096343, 0.9967912583470644, 0.9967856832594909, 0.9967739122852908, 0.9967671472258628, 0.9967503952222027, 0.9967412365686101, 0.9967314487632509, 0.9967245042492918, 0.9967166563137811, 0.9966990810955482, 0.9966914065993026, 0.9966851818670489, 0.9966798277099784, 0.9966762486525332, 0.9966669669399153, 0.9966609511776915, 0.9966394187102634, 0.9966336093167136, 0.9969777452147632, 0.9969708096199743, 0.9969604863221885, 0.9969478357380688, 0.9969379233552936, 0.9969342251950948, 0.996929089893914, 0.9969222160044767, 0.9969150229036179, 0.9969118472768108, 0.9969031531531531, 0.9968914845516202, 0.9968847352024922, 0.9968717413972888, 0.9968669894616918, 0.996856244641326, 0.9968466316292404, 0.9968393832008429, 0.9968357464761722, 0.9968296666346431, 0.9968229517666314, 0.9968165155315455, 0.9968094363337523, 0.9969025263769238, 0.9968974209811906, 0.9968883702839362, 0.9968743895292049, 0.9968658178256611, 0.9968621298293783, 0.9968469799980294, 0.9968395061728395, 0.9968301139177811, 0.9968266560888537, 0.9968035161322545, 0.9967958345849605, 0.9967894050366208, 0.9967845659163987, 0.9967738683335013, 0.9967657165959167, 0.9967499492179566, 0.9967436654116211, 0.9967396841569027, 0.9967343606490459, 0.9967293540474244, 0.9967162647511545, 0.9966972855815873, 0.996693190038235, 0.9966839378238342, 0.9966770508826583, 0.9966715206989807, 0.9966642343375378, 0.9966572652251123, 0.9966453506656883, 0.9966414777497901, 0.9966333508679642, 0.996629095122722, 0.9966201943388255, 0.9966126812744787, 0.9966062148690211, 0.9965982778781758, 0.9965921192758254, 0.9965716734518963, 0.9965587697601893, 0.996553209823352, 0.9965379205885535, 0.9965304130976905, 0.9965232507605389, 0.9965183331519966, 0.9965080750763858, 0.9964989059080963, 0.9964900734890864, 0.99648235682093, 0.9964761590133245, 0.9964718853362734, 0.9964656505411973, 0.9964613513214641, 0.9964539007092199, 0.9964487848185551, 0.9964424680377988, 0.9964345403899721, 0.9964249804491119, 0.9964189794091316, 0.996410544026921, 0.9964048983260307, 0.9963968021619187, 0.996386630532972, 0.9963813185570508, 0.9963768115942029, 0.9963673515722556, 0.9963536918869644, 0.9963486992240986, 0.9963416028352579, 0.9963353183692166, 0.9963285910968334, 0.9963235294117647, 0.9963176064441888, 0.9963108139266774, 0.9963057030708843, 0.9962992945530241, 0.9962851172509868, 0.9962751716913049, 0.9962699615339783, 0.9962559962559963, 0.9962502929458636, 0.9962348511589599, 0.9962286387743076, 0.9962201748169147, 0.9962125695348562, 0.9962013295346629, 0.9961959106038992, 0.9961895689449869, 0.9961832061068703, 0.9961713328547499, 0.9961662872888463, 0.9961543083763971, 0.9961394619375076, 0.996131060331278, 0.9961259079903148, 0.9961202715809894, 0.9961094224924012, 0.9961032635168047, 0.9960961327314871, 0.9960908868800391, 0.9960755457444199, 0.9960610536681438, 0.996049870386372, 0.9960430320267095, 0.9962737548130667, 0.9962663347853142, 0.996251405722854, 0.9962387161484454, 0.9962259403698579, 0.9962202343454706, 0.9962092494313874, 0.9962034927866363, 0.9961982004815613, 0.9961928934010152, 0.996185632549269, 0.9961739574033924, 0.9961582789089513, 0.9961444544403033, 0.9961290322580645, 0.9961210240496509, 0.9961144929413288, 0.9966119364086526, 0.9965995291655768, 0.9965910580831258, 0.9965811965811966, 0.9965757934940076, 0.996566296883254, 0.9965590259396506, 0.9965494359654944, 0.996540252827678, 0.9965310206804536, 0.9965254577041294, 0.9965180125887237, 0.9965063155065843, 0.9964931211222012, 0.9964855366315221, 0.996472184531886, 0.9964645091106881, 0.9964548677392965, 0.9964373801041381, 0.9964256255155348, 0.9964137931034482, 0.9964038727524205, 0.9963958968672026, 0.9963903928918506, 0.9963838664812239, 0.9963783256720992, 0.9963671929579433, 0.996359053353872, 0.9963354474982382, 0.9963297571993224, 0.9963214487832485, 0.9963036678987773, 0.9962952408093474, 0.996278270827369, 0.9962654409652398, 0.9962525223407322, 0.9962389700564155, 0.9962275101567034, 0.9962143273150844, 0.99620548744892, 0.99619827460155, 0.996189359519273, 0.9961804025268106, 0.9961719670200235, 0.996165191740413, 0.9961578247376977, 0.9961487187083395, 0.9961418608102093, 0.9965799256505576, 0.9965743223115877, 0.9965620328849029, 0.996551724137931, 0.9965455091619105, 0.9965335342878674, 0.9965256797583082, 0.9965177895533687, 0.9965093337380483, 0.9965029648776038, 0.9964960390006093, 0.9964853300733496, 0.9964723926380368, 0.9964511649436816, 0.9964429322610578, 0.9964263517712865, 0.9964129756706176, 0.9964045646396749, 0.9963961140708242, 0.996384216318189, 0.9963728118593281, 0.9963607594936709, 0.9963492063492063, 0.9963399108847868, 0.9963258785942491, 0.9963146931581477, 0.9963075935142077, 0.9962939091202062, 0.9962777148405891, 0.9962632006498782, 0.9962534614758104, 0.9962461237147054, 0.9962393721386528, 0.9962245567957978, 0.9963797926608524, 0.9963696369636964, 0.996517990383021, 0.9964830011723329, 0.9964735516372796, 0.9964610717896866, 0.9964515038864481, 0.9969470827679783, 0.9976182374957469, 0.997612551159618, 0.9976019184652278, 0.9975961538461539, 0.9975878704341833, 0.9975744975744976, 0.9975673327541269, 0.9975571453498517, 0.9975490196078431, 0.9975404075895994, 0.9975339087546239, 0.9975221238938053, 0.9975172902996985, 0.997507566316539, 0.9975004463488663, 0.9974928366762178, 0.9974792942023767, 0.9974733802562714, 0.9974637681159421, 0.997434957860022, 0.9974274163910327, 0.9974217311233886, 0.9974141115626154, 0.9974088469368869, 0.9974011509188788, 0.9973934090485943, 0.9973856209150327, 0.9973797492045667, 0.9973708920187794, 0.9973604826546003, 0.9973524962178517, 0.9973384030418251, 0.9973328253000572, 0.9973246703611695, 0.997318521356062, 0.9973113116957941, 0.997301984968202, 0.997293116782676, 0.9972868217054264, 0.9972810254418334, 0.9972746739342029, 0.9972634870992964, 0.997257053291536, 0.9972511290005891, 0.9972381140264351, 0.9972282716293803, 0.9972211194918619, 0.9972144846796658, 0.9972078181092939, 0.9971938264181198, 0.9971870604781997, 0.9971762807583703, 0.9971625456019457, 0.9971556277935798, 0.9971463514064411, 0.9971340839303992, 0.9971151864825881, 0.9971050454921423, 0.9970942299709423, 0.9970845481049563, 0.9970699037254082, 0.9970619097586568, 0.9970507689066779, 0.9970432946145723, 0.9970301230377598, 0.9970136518771331, 0.9970034246575342, 0.9969963527140099, 0.9969860064585576, 0.9969781998704943, 0.9969710082215492, 0.9969631236442517, 0.9969458987783595, 0.996937212863706, 0.9969271290605795, 0.9969156201806565, 0.9969081272084805, 0.9968971631205674, 0.996877091233549, 0.9968637992831542, 0.9968553459119497, 0.9968468468468469, 0.9968368730230457, 0.9968253968253968, 0.9968145620022754, 0.9968058407483459, 0.9967978042086002, 0.9967882541867401, 0.9967749366505414, 0.9967562557924003, 0.9969753373662168, 0.9969675763937486, 0.9969597754911131, 0.9969476402911481, 0.9969390157758418, 0.9969310670443815, 0.9969150450878026, 0.996900333810205, 0.9968877184582237, 0.9968787515006002, 0.9968667148710533, 0.9968277208394338, 0.9968160666176831, 0.9968043264503441, 0.9970406905055487, 0.9970267591674926, 0.9970119521912351, 0.9970014992503748, 0.9969924812030075, 0.9969788519637462, 0.9969527679024885, 0.9969434538970963, 0.9969325153374233, 0.9969199178644764, 0.9969040247678018, 0.9968879668049793, 0.9968774395003903, 0.9968660224601724, 0.9968536969061353, 0.9968445963712859, 0.996831264853446, 0.9968211920529801, 0.9968119022316685, 0.9967957276368491, 0.996785427270292, 0.9967681120387827, 0.9967576330721427, 0.9967391304347826, 0.996727570220889, 0.9967159277504105, 0.9967014843320505, 0.9966905681191396, 0.9966795794133924, 0.9966685174902832, 0.9966555183946488, 0.9966301600673968, 0.9966187658495351, 0.996607294317218, 0.9968741119636261, 0.9968598344276335, 0.9968463302752294, 0.9968354430379747, 0.9968208092485549, 0.9967948717948718, 0.9967836257309941, 0.996771353096566, 0.9967561191388971, 0.9967378410438908, 0.9967222884386174, 0.9967105263157895, 0.9969951923076923, 0.996985227615315, 0.9969751966122202, 0.9969650986342944, 0.9969549330085262, 0.9969390878481788, 0.9969287469287469, 0.9969145325516816, 0.9969001859888407, 0.9968847352024922, 0.9968740231322288, 0.9968583097706566, 0.9968444304196907, 0.9968324358568261, 0.9968203497615262, 0.9968040907638223, 0.9967928159076331, 0.9967752337955498, 0.9967585089141004, 0.9967469095640858, 0.9967298888162197, 0.9967180833606827, 0.9966963990749917, 0.996684350132626, 0.9966711051930759, 0.9966588706982961, 0.996636394214598, 0.9965905216501875, 0.9965753424657534, 0.9965564738292011, 0.9965421853388658, 0.9965168930686172, 0.9965034965034965, 0.9964862965565706, 0.9964714184897672, 0.9964539007092199, 0.9964374777342359, 0.9963898916967509, 0.9963728690605731, 0.9963570127504554, 0.9963410171972191, 0.9963194700036805, 0.9963031423290203, 0.9970171513795675, 0.9969992498124531, 0.9969856819894499, 0.9969673995451099, 0.9969477298740939, 0.9969242599000384, 0.9969111969111969, 0.9968944099378882, 0.9968810916179337, 0.9968676585747847, 0.9968491532099252, 0.9968329374505146, 0.9968190854870775, 0.996802557953637, 0.9971876255524307, 0.9971751412429378, 0.9971579374746244, 0.9971451876019576, 0.9971287940935193, 0.9971157807993407, 0.9971002485501242, 0.9970796829370046, 0.9970649895178197, 0.9970464135021097, 0.9970212765957447, 0.9970008568980291, 0.9969853574504737, 0.9969710082215492, 0.9969551979121357, 0.9969392216878006, 0.9969244288224957, 0.9969094922737307, 0.9968888888888889, 0.9968736042876284, 0.9968325791855204, 0.9968167348794906, 0.996800731261426, 0.9967830882352942, 0.9967622571692877, 0.9967456996745699, 0.9967197750702905, 0.9967012252591895, 0.9966840360018948, 0.9966634890371783, 0.996642685851319, 0.9966232513265798, 0.9965920155793574, 0.996551724137931, 0.9965277777777778, 0.9965087281795512, 0.9964894684052157, 0.9964699949571356, 0.9964503042596349, 0.9964267483409903, 0.9964047252182845, 0.9963842975206612, 0.9963617463617463, 0.996309963099631, 0.9962864721485412, 0.996264674493063, 0.996230479267636, 0.9962080173347779, 0.99617903930131, 0.9961538461538462, 0.9961283185840708, 0.996100278551532, 0.9960740325294447, 0.9960474308300395, 0.9960091220068416, 0.9959700633275763, 0.9959420289855072, 0.9959159859976663, 0.995875073659399, 0.9958481613285883, 0.9958058717795086, 0.9957729468599034, 0.995742092457421, 0.9957134109001837, 0.995679012345679, 0.9956386292834891, 0.9955919395465995, 0.9955611921369689, 0.9955271565495207, 0.9954809554551324, 0.9954308093994778, 0.9953795379537954, 0.9953426480372588, 0.9952925353059852, 0.9952542372881356, 0.9952153110047847, 0.9951724137931034, 0.995135510771369, 0.9950946040644709, 0.9950142450142451, 0.9949385394070861, 0.9948717948717949, 0.9948263118994827, 0.9947800149142431, 0.9947328818660647, 0.9945525291828794, 0.9944794952681388, 0.9944267515923567, 0.9943684633950121, 0.9942669942669943, 0.9942100909842845, 0.9941569282136895, 0.9940978077571669, 0.9940374787052811, 0.9939707149009475, 0.9939024390243902, 0.9938380281690141, 0.9937777777777778, 0.9936880072137061, 0.9936189608021878, 0.9935483870967742, 0.9934701492537313, 0.9933837429111532, 0.9932301740812379, 0.9960474308300395, 0.9959919839679359, 0.9959225280326198, 0.9958289885297185, 0.9957537154989384, 0.9956989247311828, 0.9956474428726877, 0.9955898566703418, 0.9955357142857143, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], \\\"yaxis\\\": \\\"y\\\"}],                        {\\\"legend\\\": {\\\"title\\\": {\\\"text\\\": \\\"method\\\"}, \\\"tracegroupgap\\\": 0}, \\\"margin\\\": {\\\"t\\\": 60}, \\\"template\\\": {\\\"data\\\": {\\\"bar\\\": [{\\\"error_x\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"error_y\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"bar\\\"}], \\\"barpolar\\\": [{\\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"barpolar\\\"}], \\\"carpet\\\": [{\\\"aaxis\\\": {\\\"endlinecolor\\\": \\\"#2a3f5f\\\", \\\"gridcolor\\\": \\\"#C8D4E3\\\", \\\"linecolor\\\": \\\"#C8D4E3\\\", \\\"minorgridcolor\\\": \\\"#C8D4E3\\\", \\\"startlinecolor\\\": \\\"#2a3f5f\\\"}, \\\"baxis\\\": {\\\"endlinecolor\\\": \\\"#2a3f5f\\\", \\\"gridcolor\\\": \\\"#C8D4E3\\\", \\\"linecolor\\\": \\\"#C8D4E3\\\", \\\"minorgridcolor\\\": \\\"#C8D4E3\\\", \\\"startlinecolor\\\": \\\"#2a3f5f\\\"}, \\\"type\\\": \\\"carpet\\\"}], \\\"choropleth\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"choropleth\\\"}], \\\"contour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"contour\\\"}], \\\"contourcarpet\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"contourcarpet\\\"}], \\\"heatmap\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"heatmap\\\"}], \\\"heatmapgl\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"heatmapgl\\\"}], \\\"histogram\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"histogram\\\"}], \\\"histogram2d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"histogram2d\\\"}], \\\"histogram2dcontour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"histogram2dcontour\\\"}], \\\"mesh3d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"mesh3d\\\"}], \\\"parcoords\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"parcoords\\\"}], \\\"pie\\\": [{\\\"automargin\\\": true, \\\"type\\\": \\\"pie\\\"}], \\\"scatter\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatter\\\"}], \\\"scatter3d\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatter3d\\\"}], \\\"scattercarpet\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattercarpet\\\"}], \\\"scattergeo\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattergeo\\\"}], \\\"scattergl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattergl\\\"}], \\\"scattermapbox\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattermapbox\\\"}], \\\"scatterpolar\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterpolar\\\"}], \\\"scatterpolargl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterpolargl\\\"}], \\\"scatterternary\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterternary\\\"}], \\\"surface\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"surface\\\"}], \\\"table\\\": [{\\\"cells\\\": {\\\"fill\\\": {\\\"color\\\": \\\"#EBF0F8\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"header\\\": {\\\"fill\\\": {\\\"color\\\": \\\"#C8D4E3\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"type\\\": \\\"table\\\"}]}, \\\"layout\\\": {\\\"annotationdefaults\\\": {\\\"arrowcolor\\\": \\\"#2a3f5f\\\", \\\"arrowhead\\\": 0, \\\"arrowwidth\\\": 1}, \\\"coloraxis\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"colorscale\\\": {\\\"diverging\\\": [[0, \\\"#8e0152\\\"], [0.1, \\\"#c51b7d\\\"], [0.2, \\\"#de77ae\\\"], [0.3, \\\"#f1b6da\\\"], [0.4, \\\"#fde0ef\\\"], [0.5, \\\"#f7f7f7\\\"], [0.6, \\\"#e6f5d0\\\"], [0.7, \\\"#b8e186\\\"], [0.8, \\\"#7fbc41\\\"], [0.9, \\\"#4d9221\\\"], [1, \\\"#276419\\\"]], \\\"sequential\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"sequentialminus\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]]}, \\\"colorway\\\": [\\\"#636efa\\\", \\\"#EF553B\\\", \\\"#00cc96\\\", \\\"#ab63fa\\\", \\\"#FFA15A\\\", \\\"#19d3f3\\\", \\\"#FF6692\\\", \\\"#B6E880\\\", \\\"#FF97FF\\\", \\\"#FECB52\\\"], \\\"font\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"geo\\\": {\\\"bgcolor\\\": \\\"white\\\", \\\"lakecolor\\\": \\\"white\\\", \\\"landcolor\\\": \\\"white\\\", \\\"showlakes\\\": true, \\\"showland\\\": true, \\\"subunitcolor\\\": \\\"#C8D4E3\\\"}, \\\"hoverlabel\\\": {\\\"align\\\": \\\"left\\\"}, \\\"hovermode\\\": \\\"closest\\\", \\\"mapbox\\\": {\\\"style\\\": \\\"light\\\"}, \\\"paper_bgcolor\\\": \\\"white\\\", \\\"plot_bgcolor\\\": \\\"white\\\", \\\"polar\\\": {\\\"angularaxis\\\": {\\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"radialaxis\\\": {\\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\"}}, \\\"scene\\\": {\\\"xaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}, \\\"yaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}, \\\"zaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}}, \\\"shapedefaults\\\": {\\\"line\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}}, \\\"ternary\\\": {\\\"aaxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}, \\\"baxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"caxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}}, \\\"title\\\": {\\\"x\\\": 0.05}, \\\"xaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zerolinecolor\\\": \\\"#EBF0F8\\\", \\\"zerolinewidth\\\": 2}, \\\"yaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zerolinecolor\\\": \\\"#EBF0F8\\\", \\\"zerolinewidth\\\": 2}}}, \\\"title\\\": {\\\"text\\\": \\\"Precision-recall by method\\\"}, \\\"xaxis\\\": {\\\"anchor\\\": \\\"y\\\", \\\"domain\\\": [0.0, 1.0], \\\"range\\\": [0.95, 1], \\\"title\\\": {\\\"text\\\": \\\"recall\\\"}}, \\\"yaxis\\\": {\\\"anchor\\\": \\\"x\\\", \\\"domain\\\": [0.0, 1.0], \\\"range\\\": [0.95, 1], \\\"title\\\": {\\\"text\\\": \\\"precision\\\"}}},                        {\\\"responsive\\\": true}                    ).then(function(){\\n\",\n              \"                            \\n\",\n              \"var gd = document.getElementById('1e172a70-269c-4631-9a3c-9086aa331346');\\n\",\n              \"var x = new MutationObserver(function (mutations, observer) {{\\n\",\n              \"        var display = window.getComputedStyle(gd).display;\\n\",\n              \"        if (!display || display === 'none') {{\\n\",\n              \"            console.log([gd, 'removed!']);\\n\",\n              \"            Plotly.purge(gd);\\n\",\n              \"            observer.disconnect();\\n\",\n              \"        }}\\n\",\n              \"}});\\n\",\n              \"\\n\",\n              \"// Listen for the removal of the full notebook cells\\n\",\n              \"var notebookContainer = gd.closest('#notebook-container');\\n\",\n              \"if (notebookContainer) {{\\n\",\n              \"    x.observe(notebookContainer, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"// Listen for the clearing of the current output cell\\n\",\n              \"var outputEl = gd.closest('.output');\\n\",\n              \"if (outputEl) {{\\n\",\n              \"    x.observe(outputEl, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"                        })                };                            </script>        </div>\\n\",\n              \"</body>\\n\",\n              \"</html>\"\n            ]\n          },\n          \"metadata\": {}\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 206\n        },\n        \"id\": \"mLOljUevHki1\",\n        \"outputId\": \"72fd6a9d-ce14-4197-8112-fb0b41625f61\"\n      },\n      \"source\": [\n        \"method_comparison.groupby(\\\"method\\\")[['f1']].agg(max)\"\n      ],\n      \"execution_count\": 49,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>method</th>\\n\",\n              \"      <th></th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>BLAST</th>\\n\",\n              \"      <td>0.984229</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>CNN</th>\\n\",\n              \"      <td>0.976851</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>Ensemble of BLAST  with  Ensembled-CNN</th>\\n\",\n              \"      <td>0.986397</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>Ensembled CNN</th>\\n\",\n              \"      <td>0.980681</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"                                              f1\\n\",\n              \"method                                          \\n\",\n              \"BLAST                                   0.984229\\n\",\n              \"CNN                                     0.976851\\n\",\n              \"Ensemble of BLAST  with  Ensembled-CNN  0.986397\\n\",\n              \"Ensembled CNN                           0.980681\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 49\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"Nz4dbIOk0M9a\"\n      },\n      \"source\": [\n        \"# Bootstrapping\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"gx8A9-eZMT-9\"\n      },\n      \"source\": [\n        \"## Defining functions\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"6ZrJzUIVcjm6\"\n      },\n      \"source\": [\n        \"import collections\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def get_bootstrapped_pr_curves(predictions_df,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               grouping=None,\\n\",\n        \"                               n=100,\\n\",\n        \"                               method_label=None,\\n\",\n        \"                               sample_with_replacement=True):\\n\",\n        \"\\n\",\n        \"    joined = predictions_df[predictions_df.value > 1e-10].merge(\\n\",\n        \"        ground_truth_df, on=['up_id', 'label'], how='outer')\\n\",\n        \"    unique_up_ids = joined['up_id'].unique()\\n\",\n        \"\\n\",\n        \"    pr_samples = []\\n\",\n        \"    for _ in tqdm.tqdm(range(n)):\\n\",\n        \"        sampled_up_ids = np.random.choice(unique_up_ids, len(unique_up_ids),\\n\",\n        \"                                          sample_with_replacement)\\n\",\n        \"\\n\",\n        \"        count_by_sample = collections.Counter(sampled_up_ids)\\n\",\n        \"        count_by_sample_ordered = [count_by_sample[x] for x in joined.up_id]\\n\",\n        \"        joined_sampled = pd.DataFrame(np.repeat(joined.values,\\n\",\n        \"                                                count_by_sample_ordered,\\n\",\n        \"                                                axis=0),\\n\",\n        \"                                      columns=joined.columns)\\n\",\n        \"        unique_suffixes_counter = collections.defaultdict(lambda: 0)\\n\",\n        \"        unique_suffixes = []\\n\",\n        \"        for row in joined_sampled.values:\\n\",\n        \"            lookup_key = (row[0], row[1])\\n\",\n        \"            unique_suffixes.append(unique_suffixes_counter[lookup_key])\\n\",\n        \"            unique_suffixes_counter[lookup_key] += 1\\n\",\n        \"\\n\",\n        \"        joined_sampled['up_id'] = [\\n\",\n        \"            f'{x}-{y}' for x, y in zip(joined_sampled.up_id, unique_suffixes)\\n\",\n        \"        ]\\n\",\n        \"\\n\",\n        \"        pred = joined_sampled[joined_sampled['value'].notna()][[\\n\",\n        \"            'up_id', 'label', 'value'\\n\",\n        \"        ]]\\n\",\n        \"        gt = joined_sampled[joined_sampled['gt'].notna()][[\\n\",\n        \"            'up_id', 'label', 'gt'\\n\",\n        \"        ]]\\n\",\n        \"\\n\",\n        \"        pr_curves = colab_evaluation.get_pr_curve_df(pred,\\n\",\n        \"                                                     gt,\\n\",\n        \"                                                     grouping=grouping)\\n\",\n        \"        pr_curves.loc[pr_curves['threshold'] == 0.0, 'precision'] = 0\\n\",\n        \"        pr_curves.loc[pr_curves['threshold'] == 0.0, 'f1'] = 0\\n\",\n        \"        pr_curves['type'] = method_label\\n\",\n        \"        pr_samples.append(pr_curves)\\n\",\n        \"    return pr_samples\\n\"\n      ],\n      \"execution_count\": 50,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"WaSoUBt6alY0\"\n      },\n      \"source\": [\n        \"## Perform calculations\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"oiUrFouj0qKF\",\n        \"outputId\": \"c0a03cab-13a2-431a-9dd9-bbb438df6ede\"\n      },\n      \"source\": [\n        \"n = 100\\n\",\n        \"non_ensembled_prs = get_bootstrapped_pr_curves(predictions_df,\\n\",\n        \"                                               ground_truth_df,\\n\",\n        \"                                               n=n,\\n\",\n        \"                                               method_label=\\\"Single CNN\\\")\\n\",\n        \"\\n\",\n        \"ensembled_prs = get_bootstrapped_pr_curves(ens_predictions_df,\\n\",\n        \"                                           ground_truth_df,\\n\",\n        \"                                           n=n,\\n\",\n        \"                                           method_label=\\\"Ensemble of CNNs\\\")\\n\",\n        \"\\n\",\n        \"blast_prs = get_bootstrapped_pr_curves(blast_df,\\n\",\n        \"                                       ground_truth_df,\\n\",\n        \"                                       n=n,\\n\",\n        \"                                       method_label=\\\"BLAST\\\")\\n\",\n        \"                                       \\n\",\n        \"blast_and_cnn_ensemble_prs = get_bootstrapped_pr_curves(\\n\",\n        \"    blast_and_cnn_ensemble,\\n\",\n        \"    ground_truth_df,\\n\",\n        \"    n=n,\\n\",\n        \"    method_label=\\\"Blast/CNN-Ensemble\\\")\\n\"\n      ],\n      \"execution_count\": 51,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:00<00:00,  8.11it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.68it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.36it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.30it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.22it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.27it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.33it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.52it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.31it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.91it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.00it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.25it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.40it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.20it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.65it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.74it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.79it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.39it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.19it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.20it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.81it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.38it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.84it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.31it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.20it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.46it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.44it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.43it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.45it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.76it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.43it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.09it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.22it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.18it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.73it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.42it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.42it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.74it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.91it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.67it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.82it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.76it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.83it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.94it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.32it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.08it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.00it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.16it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.97it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.46it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.70it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.77it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.89it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.55it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.22it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.04it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.46it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.22it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.03it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.98it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.64it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.94it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.94it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.09it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.58it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.41it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.34it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.36it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.96it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.12it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.88it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.24it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.40it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.21it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.43it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.85it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.90it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.39it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.36it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.42it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.05it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.25it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.41it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  5.67it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.79it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.94it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.44it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  6.94it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  7.10it/s]\\n\",\n            \"100%|██████████| 100/100 [01:44<00:00,  1.04s/it]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.61it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.67it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.61it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.61it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.58it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.60it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.60it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.60it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.60it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.67it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.62it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.64it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.60it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.61it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.51it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.65it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.68it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.62it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.55it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.62it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.52it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.58it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.65it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.52it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.52it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.55it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.60it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.57it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.51it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.50it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.58it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.49it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.48it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.49it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.48it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.43it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.41it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.46it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.50it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.57it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.57it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.51it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.48it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.61it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.55it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.49it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.55it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.61it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.55it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.58it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.45it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.49it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.51it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.46it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.45it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.48it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.60it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.55it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.52it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.52it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.41it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.51it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.62it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  1.58it/s]\\n\",\n            \"100%|██████████| 100/100 [04:46<00:00,  2.86s/it]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.68it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.04it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.51it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.21it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.73it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.00it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.24it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.44it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.07it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.18it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.79it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.99it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.02it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.15it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.55it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.28it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.62it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.94it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.23it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.13it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.91it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.54it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.39it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.88it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.49it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.92it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.30it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.75it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.20it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.56it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.19it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.97it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.40it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.42it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.65it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.88it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.68it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.90it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.21it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.60it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.40it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.70it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.67it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.98it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.03it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.44it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.89it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.07it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  8.97it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.77it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.31it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.53it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.08it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.10it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.05it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.82it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.38it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.75it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.14it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.19it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.15it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.94it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.65it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.29it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.68it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.39it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.09it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.38it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.06it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.23it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.40it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.11it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.98it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.81it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.21it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.58it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.99it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.81it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.79it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.15it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.65it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.73it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.30it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.37it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.65it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.79it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.92it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.71it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 11.22it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.84it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.16it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.62it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.55it/s]\\n\",\n            \"100%|██████████| 100/100 [01:31<00:00,  1.06it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.61it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  8.84it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.26it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.15it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.69it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.01it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.05it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.99it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.22it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.11it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.34it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.88it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.82it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.09it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.32it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.29it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.31it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.58it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.26it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.10it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.26it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.38it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.46it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.96it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.31it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.27it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.47it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.88it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.37it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.15it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.84it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.11it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.81it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.94it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.28it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.78it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.50it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.69it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.20it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.16it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.95it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.31it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  8.98it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.95it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.43it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.46it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.75it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.05it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.89it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.92it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.12it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.51it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.04it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.11it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.66it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.15it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.07it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.96it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.12it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.89it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.34it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.07it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.08it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.57it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.37it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.77it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.37it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.81it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.03it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.63it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.17it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.59it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.19it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.23it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.49it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.89it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.07it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.82it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.93it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.12it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.95it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.90it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  8.81it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.08it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.14it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.45it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.89it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.85it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00, 10.09it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  8.83it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.61it/s]\\n\",\n            \"100%|██████████| 1/1 [00:00<00:00,  9.87it/s]\\n\",\n            \"100%|██████████| 100/100 [01:26<00:00,  1.15it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"qmaFogaratmd\"\n      },\n      \"source\": [\n        \"## Interpolate curves\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"axXGD0T-lQxD\"\n      },\n      \"source\": [\n        \"from scipy.interpolate import interp1d\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def create_interpolated_df(single_curve):\\n\",\n        \"    interp_recall_fn = interp1d(single_curve.recall,\\n\",\n        \"                                single_curve.precision,\\n\",\n        \"                                bounds_error=False)\\n\",\n        \"    recall = np.linspace(0.0, 1, 5001)\\n\",\n        \"    interpolated_precisions = interp_recall_fn(recall)\\n\",\n        \"    return pd.DataFrame({\\n\",\n        \"        \\\"type\\\": single_curve.type.to_list()[0],\\n\",\n        \"        \\\"group\\\": single_curve.group.to_list()[0],\\n\",\n        \"        \\\"precision\\\": interpolated_precisions,\\n\",\n        \"        \\\"recall\\\": recall\\n\",\n        \"    })\\n\"\n      ],\n      \"execution_count\": 52,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"pnHKZRColhaK\"\n      },\n      \"source\": [\n        \"curves = [\\n\",\n        \"    ensembled_prs, non_ensembled_prs, blast_and_cnn_ensemble_prs, blast_prs\\n\",\n        \"]\\n\",\n        \"dfs = []\\n\",\n        \"\\n\",\n        \"for curve_set in curves:\\n\",\n        \"    for c2 in curve_set:\\n\",\n        \"        for group_name, df_group in c2.groupby(\\\"group\\\"):\\n\",\n        \"            dfs.append(create_interpolated_df(df_group.query(\\\"precision>0\\\")))\\n\",\n        \"all = pd.concat(dfs)\\n\"\n      ],\n      \"execution_count\": 53,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"Lhwtx2mWlb65\"\n      },\n      \"source\": [\n        \"\"\n      ],\n      \"execution_count\": 53,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 174\n        },\n        \"id\": \"OJNtsQOcnlQE\",\n        \"outputId\": \"955c8bbc-b790-4d76-8445-4e4244f1e257\"\n      },\n      \"source\": [\n        \"curves = [\\n\",\n        \"    ensembled_prs, non_ensembled_prs, blast_and_cnn_ensemble_prs, blast_prs\\n\",\n        \"]\\n\",\n        \"dfs = []\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def create_f1(single_curve):\\n\",\n        \"\\n\",\n        \"    return pd.DataFrame(\\n\",\n        \"        {\\n\",\n        \"            \\\"type\\\": single_curve.type.to_list()[0],\\n\",\n        \"            \\\"group\\\": single_curve.group.to_list()[0],\\n\",\n        \"            \\\"f1\\\": single_curve.f1.max()\\n\",\n        \"        },\\n\",\n        \"        index=[0])\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"for curve_set in curves:\\n\",\n        \"    for c2 in curve_set:\\n\",\n        \"        for group_name, df_group in c2.groupby(\\\"group\\\"):\\n\",\n        \"            dfs.append(create_f1(df_group))\\n\",\n        \"f1 = pd.concat(dfs)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def lower_func(x):\\n\",\n        \"    return x.quantile(0.025)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def upper_func(x):\\n\",\n        \"    return x.quantile(0.975)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"f1_data = f1.groupby(['type',\\n\",\n        \"                      'group']).agg(lower=(\\\"f1\\\", lower_func),\\n\",\n        \"                                    upper=(\\\"f1\\\", upper_func)).reset_index()\\n\",\n        \"f1_data\"\n      ],\n      \"execution_count\": 54,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>type</th>\\n\",\n              \"      <th>group</th>\\n\",\n              \"      <th>lower</th>\\n\",\n              \"      <th>upper</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.983276</td>\\n\",\n              \"      <td>0.985455</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>Blast/CNN-Ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.985518</td>\\n\",\n              \"      <td>0.987427</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>Ensemble of CNNs</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.979517</td>\\n\",\n              \"      <td>0.981811</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>Single CNN</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.975684</td>\\n\",\n              \"      <td>0.977731</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"                 type group     lower     upper\\n\",\n              \"0               BLAST   all  0.983276  0.985455\\n\",\n              \"1  Blast/CNN-Ensemble   all  0.985518  0.987427\\n\",\n              \"2    Ensemble of CNNs   all  0.979517  0.981811\\n\",\n              \"3          Single CNN   all  0.975684  0.977731\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 54\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 424\n        },\n        \"id\": \"2fpGO278n2SE\",\n        \"outputId\": \"6aba5796-e93c-462a-b6db-dff6f26ae4cc\"\n      },\n      \"source\": [\n        \"f1\"\n      ],\n      \"execution_count\": 55,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>type</th>\\n\",\n              \"      <th>group</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Ensemble of CNNs</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.981121</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Ensemble of CNNs</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.980834</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Ensemble of CNNs</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.980514</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Ensemble of CNNs</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.980314</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Ensemble of CNNs</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.980272</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>...</th>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.984065</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.983924</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.984716</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.983924</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.984429</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"<p>400 rows × 3 columns</p>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"                type group        f1\\n\",\n              \"0   Ensemble of CNNs   all  0.981121\\n\",\n              \"0   Ensemble of CNNs   all  0.980834\\n\",\n              \"0   Ensemble of CNNs   all  0.980514\\n\",\n              \"0   Ensemble of CNNs   all  0.980314\\n\",\n              \"0   Ensemble of CNNs   all  0.980272\\n\",\n              \"..               ...   ...       ...\\n\",\n              \"0              BLAST   all  0.984065\\n\",\n              \"0              BLAST   all  0.983924\\n\",\n              \"0              BLAST   all  0.984716\\n\",\n              \"0              BLAST   all  0.983924\\n\",\n              \"0              BLAST   all  0.984429\\n\",\n              \"\\n\",\n              \"[400 rows x 3 columns]\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 55\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"0YIkZtjeoJkU\"\n      },\n      \"source\": [\n        \"def lower_func(x):\\n\",\n        \"    return x.quantile(0.025)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def upper_func(x):\\n\",\n        \"    return x.quantile(0.975)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"for_graph = all.groupby(['type', 'group', 'recall'\\n\",\n        \"                         ]).agg(lower=(\\\"precision\\\", lower_func),\\n\",\n        \"                                upper=(\\\"precision\\\", upper_func)).reset_index()\\n\"\n      ],\n      \"execution_count\": 56,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"4ARrq09Kr8cM\"\n      },\n      \"source\": [\n        \"a = get_bootstrapped_pr_curves(predictions_df,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               n=1,\\n\",\n        \"                               sample_with_replacement=False,\\n\",\n        \"                               method_label=\\\"Single CNN\\\")[0]\\n\",\n        \"b = get_bootstrapped_pr_curves(ens_predictions_df,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               n=1,\\n\",\n        \"                               sample_with_replacement=False,\\n\",\n        \"                               method_label=\\\"Ensemble of CNNs\\\")[0]\\n\",\n        \"c = get_bootstrapped_pr_curves(blast_df,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               n=1,\\n\",\n        \"                               sample_with_replacement=False,\\n\",\n        \"                               method_label=\\\"BLAST\\\")[0]\\n\",\n        \"d = get_bootstrapped_pr_curves(blast_and_cnn_ensemble,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               n=1,\\n\",\n        \"                               sample_with_replacement=False,\\n\",\n        \"                               method_label=\\\"Blast/CNN-Ensemble\\\")[0]\\n\",\n        \"all_single = pd.concat([a, b, c, d]).query(\\\"precision>0\\\")\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"T_d5s8JGYRnF\"\n      },\n      \"source\": [\n        \"\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"Xs85vkjhbD-t\"\n      },\n      \"source\": [\n        \"## Plot bootstrap curves\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"Ii8vVgD9omWs\"\n      },\n      \"source\": [\n        \"import plotly.graph_objects as go\\n\",\n        \"\\n\",\n        \"fig = go.Figure()\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def get_color(index, transparent):\\n\",\n        \"    colors = {\\n\",\n        \"        'Single CNN': [150, 0, 0],\\n\",\n        \"        'Ensemble of CNNs': [0, 125, 125],\\n\",\n        \"        'Blast/CNN-Ensemble': [0, 200, 0],\\n\",\n        \"        'BLAST': [125, 0, 255]\\n\",\n        \"    }\\n\",\n        \"    transparency = 0.2 if transparent else 1\\n\",\n        \"    return f\\\"rgba({colors[index][0]}, {colors[index][1]}, {colors[index][2]}, {transparency})\\\"\\n\",\n        \"\\n\",\n        \"for the_type, new in for_graph.groupby('type'):\\n\",\n        \"    fig.add_trace(\\n\",\n        \"        go.Scatter(\\n\",\n        \"            x=new['recall'],\\n\",\n        \"            y=new['upper'],\\n\",\n        \"            mode='lines',\\n\",\n        \"            showlegend=False,\\n\",\n        \"            line=dict(width=0.0, color=get_color(the_type, False)),\\n\",\n        \"            name=\\\"\\\",\\n\",\n        \"            hoverinfo='skip',\\n\",\n        \"        ))\\n\",\n        \"    fig.add_trace(\\n\",\n        \"        go.Scatter(\\n\",\n        \"            x=new['recall'],\\n\",\n        \"            y=new['lower'],\\n\",\n        \"            name=the_type,\\n\",\n        \"            hoverinfo='skip',\\n\",\n        \"            showlegend=False,\\n\",\n        \"            line=dict(width=0.0, color=get_color(the_type, False)),\\n\",\n        \"            fill='tonexty',\\n\",\n        \"            fillcolor=get_color(the_type, True),\\n\",\n        \"        ))\\n\",\n        \"\\n\",\n        \"for the_type, new in all_single.groupby('type'):\\n\",\n        \"    fig.add_trace(\\n\",\n        \"        go.Scatter(x=new['recall'],\\n\",\n        \"                   y=new['precision'],\\n\",\n        \"                   name=the_type,\\n\",\n        \"                   line=dict(width=1, color=get_color(the_type, False))))\\n\",\n        \"\\n\",\n        \"fig.update_xaxes(title=\\\"Recall\\\", range=[0.90, 1])\\n\",\n        \"fig.update_yaxes(title=\\\"Precision\\\", range=[0.90, 1])\\n\",\n        \"fig.update_layout(template=\\\"plotly_white\\\")\\n\",\n        \"fig.update_layout(legend_title_text='Method')\\n\",\n        \"\\n\",\n        \"fig.update_layout(title=\\\"Precision and recall by method\\\", )\\n\",\n        \"\\n\",\n        \"fig.show()\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"3ZUU00ABF7gL\"\n      },\n      \"source\": [\n        \"fig=ggplot(all_single,\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\",\\n\",\n        \"           color=\\\"type\\\")) + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.9, 1), ylim=(0.9, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"Method\\\",fill=\\\"Method\\\") +geom_ribbon(aes(ymin=\\\"lower\\\",ymax=\\\"upper\\\",y=\\\"lower\\\",fill=\\\"type\\\"),data=for_graph,color=None,alpha=0.25)\\n\",\n        \"fig\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"8VeuukDTnn2B\"\n      },\n      \"source\": [\n        \"ggsave(fig,\\\"random_truncated.pdf\\\")\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"kn5RV7p2oK36\"\n      },\n      \"source\": [\n        \"fig=ggplot(all_single,\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\",\\n\",\n        \"           color=\\\"type\\\")) + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.0, 1), ylim=(0.0, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"Method\\\",fill=\\\"Method\\\") +geom_ribbon(aes(ymin=\\\"lower\\\",ymax=\\\"upper\\\",y=\\\"lower\\\",fill=\\\"type\\\"),data=for_graph,color=None,alpha=0.25)\\n\",\n        \"fig\\n\",\n        \"\\n\",\n        \"ggsave(fig,\\\"random_untruncated.pdf\\\")\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 174\n        },\n        \"id\": \"9MqxNw30LUWQ\",\n        \"outputId\": \"d23c54dd-0822-4ea6-8696-0345d0633f45\"\n      },\n      \"source\": [\n        \"curves = [\\n\",\n        \"    ensembled_prs, non_ensembled_prs, blast_and_cnn_ensemble_prs, blast_prs\\n\",\n        \"]\\n\",\n        \"dfs = []\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def create_f1(single_curve):\\n\",\n        \"\\n\",\n        \"    return pd.DataFrame(\\n\",\n        \"        {\\n\",\n        \"            \\\"type\\\": single_curve.type.to_list()[0],\\n\",\n        \"            \\\"group\\\": single_curve.group.to_list()[0],\\n\",\n        \"            \\\"f1\\\": single_curve.f1.max()\\n\",\n        \"        },\\n\",\n        \"        index=[0])\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"for curve_set in curves:\\n\",\n        \"    for c2 in curve_set:\\n\",\n        \"        for group_name, df_group in c2.groupby(\\\"group\\\"):\\n\",\n        \"            dfs.append(create_f1(df_group.query(\\\"precision>0\\\")))\\n\",\n        \"f1 = pd.concat(dfs)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def lower_func(x):\\n\",\n        \"    return x.quantile(0.025)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def upper_func(x):\\n\",\n        \"    return x.quantile(0.975)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"f1_data = f1.groupby(['type',\\n\",\n        \"                      'group']).agg(lower=(\\\"f1\\\", lower_func),\\n\",\n        \"                                    upper=(\\\"f1\\\", upper_func)).reset_index()\\n\",\n        \"f1_data\"\n      ],\n      \"execution_count\": 62,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>type</th>\\n\",\n              \"      <th>group</th>\\n\",\n              \"      <th>lower</th>\\n\",\n              \"      <th>upper</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.983276</td>\\n\",\n              \"      <td>0.985455</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>Blast/CNN-Ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.985518</td>\\n\",\n              \"      <td>0.987427</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>Ensemble of CNNs</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.979517</td>\\n\",\n              \"      <td>0.981811</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>Single CNN</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.975684</td>\\n\",\n              \"      <td>0.977731</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"                 type group     lower     upper\\n\",\n              \"0               BLAST   all  0.983276  0.985455\\n\",\n              \"1  Blast/CNN-Ensemble   all  0.985518  0.987427\\n\",\n              \"2    Ensemble of CNNs   all  0.979517  0.981811\\n\",\n              \"3          Single CNN   all  0.975684  0.977731\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 62\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"0q_aYzUWxMIL\"\n      },\n      \"source\": [\n        \"## Examine effect of number of training examples on performance\\n\",\n        \"\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"2IwNqpUVxMIM\"\n      },\n      \"source\": [\n        \"def resample_with_replacement(df):\\n\",\n        \"    indices = np.random.randint(0, df.shape[0], df.shape[0])\\n\",\n        \"    return df.iloc[indices, :]\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def bootstrap(df, n=100):\\n\",\n        \"    resampled_results = []\\n\",\n        \"    for x in tqdm.tqdm(range(n), position=0):\\n\",\n        \"        resampled = resample_with_replacement(df)\\n\",\n        \"        data = colab_evaluation.stats_by_group(resampled.groupby('count_cut'))\\n\",\n        \"        resampled_results.append(data)\\n\",\n        \"    return pd.concat(resampled_results)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"T5okaIZSxMIM\"\n      },\n      \"source\": [\n        \"train_counts = train_ground_truth.groupby(\\n\",\n        \"    \\\"label\\\", as_index=False).count().rename(columns={\\\"train_seq_id\\\": \\\"count\\\"})\\n\"\n      ],\n      \"execution_count\": 64,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"t1FeqUo1xMIM\",\n        \"outputId\": \"b8aaa974-ce04-4bb1-82e7-ddd9a9463985\"\n      },\n      \"source\": [\n        \"both = colab_evaluation.assign_tp_fp_fn(predictions_df, ground_truth_df,\\n\",\n        \"                                        0.625205)\\n\",\n        \"both = both.merge(train_counts, left_on=\\\"label\\\", right_on=\\\"label\\\", how=\\\"outer\\\")\\n\",\n        \"both.fillna(0)\\n\",\n        \"both['count_cut'] = pd.cut(both['count'],\\n\",\n        \"                           bins=(0, 5, 10, 20, 40, 100, 1000, 500000))\\n\",\n        \"bootstrapped_data = bootstrap(both, n=5)\\n\",\n        \"bootstrapped_data['count_cut_str'] = bootstrapped_data['count_cut'].astype(str)\"\n      ],\n      \"execution_count\": 65,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"100%|██████████| 5/5 [00:00<00:00,  6.08it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 594\n        },\n        \"id\": \"VD9BtlLoT4bq\",\n        \"outputId\": \"384cd07e-850f-4263-a85c-20bf730fa17a\"\n      },\n      \"source\": [\n        \"bootstrapped_data['type'] = \\\"CNN\\\"\\n\",\n        \"both = colab_evaluation.assign_tp_fp_fn(blast_df, ground_truth_df, 60.5)\\n\",\n        \"both = both.merge(train_counts, left_on=\\\"label\\\", right_on=\\\"label\\\", how=\\\"outer\\\")\\n\",\n        \"both.fillna(0)\\n\",\n        \"both['count_cut'] = pd.cut(both['count'],\\n\",\n        \"                           bins=(0, 5, 10, 20, 40, 100, 1000, 500000))\\n\",\n        \"\\n\",\n        \"bootstrapped_data_blast = bootstrap(both, n=100)\\n\",\n        \"bootstrapped_data_blast['type'] = \\\"BLAST\\\"\\n\",\n        \"both = colab_evaluation.assign_tp_fp_fn(ens_predictions_df, ground_truth_df,\\n\",\n        \"                                        0.25)\\n\",\n        \"both = both.merge(train_counts, left_on=\\\"label\\\", right_on=\\\"label\\\", how=\\\"outer\\\")\\n\",\n        \"both.fillna(0)\\n\",\n        \"both['count_cut'] = pd.cut(both['count'],\\n\",\n        \"                           bins=(0, 5, 10, 20, 40, 100, 1000, 500000))\\n\",\n        \"\\n\",\n        \"bootstrapped_data_ens = bootstrap(both, n=100)\\n\",\n        \"bootstrapped_data_ens['type'] = \\\"Ensembled CNNs\\\"\\n\",\n        \"both = colab_evaluation.assign_tp_fp_fn(blast_and_cnn_ensemble,\\n\",\n        \"                                        ground_truth_df, 0.17)\\n\",\n        \"both = both.merge(train_counts, left_on=\\\"label\\\", right_on=\\\"label\\\", how=\\\"outer\\\")\\n\",\n        \"both.fillna(0)\\n\",\n        \"both['count_cut'] = pd.cut(both['count'],\\n\",\n        \"                           bins=(0, 5, 10, 20, 40, 100, 1000, 500000))\\n\",\n        \"\\n\",\n        \"bootstrapped_data_combo = bootstrap(both, n=100)\\n\",\n        \"bootstrapped_data_combo['type'] = \\\"Ensembled CNNs with BLAST\\\"\\n\",\n        \"bootstrapped_merge = pd.concat([\\n\",\n        \"    bootstrapped_data_blast, bootstrapped_data, bootstrapped_data_ens,\\n\",\n        \"    bootstrapped_data_combo\\n\",\n        \"],\\n\",\n        \"                               ignore_index=True)\\n\",\n        \"\\n\",\n        \"bootstrapped_merge['count_cut_str'] = bootstrapped_merge['count_cut'].astype(\\n\",\n        \"    str)\\n\",\n        \"fig = px.box(bootstrapped_merge,\\n\",\n        \"             width=700,\\n\",\n        \"             color=\\\"type\\\",\\n\",\n        \"             x=\\\"count_cut_str\\\",\\n\",\n        \"             y=\\\"f1\\\",\\n\",\n        \"             labels={\\n\",\n        \"                 \\\"count_cut_str\\\": \\\"Number of training examples per label\\\",\\n\",\n        \"                 \\\"f1\\\": \\\"F1\\\"\\n\",\n        \"             },\\n\",\n        \"             template=\\\"simple_white\\\")\\n\",\n        \"fig.show()\\n\"\n      ],\n      \"execution_count\": 66,\n      \"outputs\": [\n        {\n          \"metadata\": {\n            \"tags\": null\n          },\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 100/100 [00:14<00:00,  6.92it/s]\\n\",\n            \"100%|██████████| 100/100 [00:28<00:00,  3.52it/s]\\n\",\n            \"100%|██████████| 100/100 [00:45<00:00,  2.19it/s]\\n\"\n          ]\n        },\n        {\n          \"data\": {\n            \"text/html\": [\n              \"<html>\\n\",\n              \"<head><meta charset=\\\"utf-8\\\" /></head>\\n\",\n              \"<body>\\n\",\n              \"    <div>            <script src=\\\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\\\"></script><script type=\\\"text/javascript\\\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \\\"STIX-Web\\\"}});}</script>                <script type=\\\"text/javascript\\\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\\n\",\n              \"        <script src=\\\"https://cdn.plot.ly/plotly-latest.min.js\\\"></script>                <div id=\\\"2f875d31-c427-448a-a09b-80a2e0649b70\\\" class=\\\"plotly-graph-div\\\" style=\\\"height:525px; width:700px;\\\"></div>            <script type=\\\"text/javascript\\\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\\\"2f875d31-c427-448a-a09b-80a2e0649b70\\\")) {                    Plotly.newPlot(                        \\\"2f875d31-c427-448a-a09b-80a2e0649b70\\\",                        [{\\\"alignmentgroup\\\": \\\"True\\\", \\\"hovertemplate\\\": \\\"type=BLAST<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"BLAST\\\", \\\"marker\\\": {\\\"color\\\": \\\"#1F77B4\\\"}, \\\"name\\\": \\\"BLAST\\\", \\\"notched\\\": false, \\\"offsetgroup\\\": \\\"BLAST\\\", \\\"orientation\\\": \\\"v\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"box\\\", \\\"x\\\": [\\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\"], \\\"x0\\\": \\\" \\\", \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.7843137254404091, 0.8839285713785919, 0.910857142807153, 0.9460654287740715, 0.9620689654672431, 0.9883498979293327, 0.9883243545852113, 0.7800891529962463, 0.9045871559133284, 0.920374707209965, 0.9531318440148717, 0.9554883318428291, 0.9886993227888009, 0.9879877479856906, 0.7672035138595155, 0.8966116420004107, 0.9192166462168425, 0.9593094944013122, 0.9567081011073117, 0.9879186283589904, 0.9883216149494675, 0.7396449703650116, 0.8753462603378348, 0.9140811455347356, 0.9411239963817916, 0.9604565837249723, 0.9874165325546238, 0.98861300221939, 0.7734887108027547, 0.8683473388856353, 0.9142185663424895, 0.9483182936333723, 0.9651825279094874, 0.988213961872031, 0.9886127259620541, 0.7948534667123057, 0.8971807628024305, 0.9322222221722337, 0.9561364642832015, 0.9635593219839005, 0.9878970921657803, 0.98812043827177, 0.7804878048283599, 0.8999144567507097, 0.9236499068401455, 0.954849498277772, 0.9595774933483362, 0.989049016551691, 0.9887985884117443, 0.7675111772976013, 0.8912415783908538, 0.9260969976405452, 0.9527145358519443, 0.9616753926201591, 0.987577227080805, 0.9888035359557513, 0.7686729513642576, 0.8919860626677889, 0.9349593495435051, 0.9551386622664976, 0.9608133869442853, 0.9883388436636987, 0.9883786753187858, 0.7916355488673075, 0.8938848920363506, 0.9267734553275869, 0.9558573853490075, 0.9615632380861432, 0.9876985706832186, 0.9887836291045811, 0.7976539588944919, 0.9002647837099517, 0.9164785552547521, 0.9535972753863873, 0.9611443210430844, 0.988085293421093, 0.9886876016682039, 0.7752545026911467, 0.8977469670210823, 0.9209245741592561, 0.9508756940978166, 0.9588688945515441, 0.9878895385260902, 0.9888243899006349, 0.7784256559270186, 0.8840453356082592, 0.915057915007936, 0.9501948895126119, 0.9596431605277418, 0.988279605577562, 0.9883674501057218, 0.7813822284410469, 0.8979963569627716, 0.9181871688729063, 0.9472727272227692, 0.9635877390983254, 0.9882327064275106, 0.9884166276940449, 0.7866287339475259, 0.8907882240715792, 0.9280575539068432, 0.9456066945107056, 0.9617557583159303, 0.9876073293294817, 0.9881243380633484, 0.7725190839198278, 0.8874887488249109, 0.9290085678814656, 0.9567408651327163, 0.9623360134921101, 0.9891638795486626, 0.9886297298231626, 0.7831957988999282, 0.8795282223594618, 0.9219600725452909, 0.9506382978223691, 0.9600494233437415, 0.9888333369541631, 0.9880424326135315, 0.7847113884056812, 0.8938134810211235, 0.9207100591216082, 0.9567474047943197, 0.9590025358756157, 0.9892524583957404, 0.988357396447188, 0.7619047618550966, 0.8927973198830176, 0.9278592374866663, 0.9463537300422348, 0.9598648077235546, 0.9887889395520739, 0.988649012487409, 0.7661927329677782, 0.8784530386240554, 0.9236545681602836, 0.949586776809528, 0.959107806641452, 0.9888160768394717, 0.9885771676768164, 0.7885462554567635, 0.8943985307121937, 0.925531914843627, 0.9575353871273774, 0.9613120268633754, 0.9884608556219335, 0.9884652824505668, 0.7854984893762351, 0.8834688346383976, 0.9242506811489185, 0.9482242190343416, 0.9621875667092414, 0.9882674062323312, 0.9884493944424796, 0.7827380951883228, 0.8685927306117522, 0.9067296339523734, 0.9605889995169299, 0.9677672955474859, 0.987657586126497, 0.9884694825138524, 0.7835497835001414, 0.8818181817682196, 0.925320886764478, 0.9486956521239471, 0.96374924889853, 0.9874549579107635, 0.9882846581137751, 0.77061469260406, 0.901222953854071, 0.9174311926105606, 0.9603411513359545, 0.9609847694054615, 0.988922858738604, 0.9884624596950298, 0.7707454289239266, 0.896491228020196, 0.9159104657697342, 0.9505668933740717, 0.9576252957125316, 0.9892026760965258, 0.9887834798653772, 0.7980014275021383, 0.8880866425492984, 0.916458852817842, 0.9627791562775616, 0.96387043184369, 0.9889964497063347, 0.9889264902681882, 0.7708933717081683, 0.8884955751712811, 0.9289256197847192, 0.9535830618392771, 0.9607843136754921, 0.9889452066265709, 0.9884935765913575, 0.8012048192272937, 0.8854824165415466, 0.91661874635599, 0.9538721963105691, 0.9584217224786431, 0.9882347717489702, 0.9884566224136525, 0.797987059619399, 0.8919667589528023, 0.9289428075756586, 0.9510366122129479, 0.96451474984312, 0.9890265173596401, 0.9887173751921272, 0.7970909090411674, 0.9036144577813424, 0.9187319884226333, 0.9532467531967669, 0.9631786976824752, 0.9878981593239671, 0.9887842979672242, 0.7951153323791027, 0.9059982094397303, 0.9159663865046366, 0.9504685407800234, 0.9588749200437596, 0.9882657424981984, 0.9884689514849166, 0.7743902438525923, 0.8906525572692559, 0.9181614349275927, 0.9582784364893244, 0.9596602971899167, 0.9887087113233669, 0.9884991603753845, 0.7741935483375704, 0.8993174060933643, 0.9136558480822846, 0.9536256323277614, 0.9584569732437708, 0.9891267794590238, 0.9882293615222495, 0.7897513187143569, 0.8796296295796546, 0.9136094674056434, 0.9584745762211991, 0.9650349649849679, 0.9882373556549923, 0.988899697456763, 0.7529215358433575, 0.8664799252534848, 0.918052256482078, 0.9501066097581322, 0.962237191213525, 0.9880314751863952, 0.9887333514947502, 0.7659574467588466, 0.8876508820298743, 0.9121432568050798, 0.9542902966621436, 0.9598308667576132, 0.9892391835508717, 0.9885390066639154, 0.78503301535759, 0.8597957288265473, 0.9277389276889385, 0.9500217296327816, 0.960739979395023, 0.9881172666984118, 0.9884319108170736, 0.7872498146278291, 0.8857890147713037, 0.9289044288544378, 0.9498929335688567, 0.9611468937792143, 0.9877642804676484, 0.9887144324033437, 0.7726931732435608, 0.8812664907151941, 0.9201877933772463, 0.9503546098791015, 0.9634664400519568, 0.9880785413244744, 0.9886862433291843, 0.742603550246417, 0.8853383458146973, 0.9121779858984914, 0.9603106125470743, 0.9572752921708806, 0.9893847582321003, 0.9890429412166974, 0.7971360381364518, 0.8898916967009264, 0.919442761912459, 0.9424558223333743, 0.9591155610680698, 0.9881921103338671, 0.9879367360153666, 0.7815726766779848, 0.8864218616067233, 0.9212792127421376, 0.9461805555056175, 0.9600329624551526, 0.9876853813059328, 0.988337784595305, 0.7866574009231274, 0.8752260397330375, 0.9215219975718907, 0.9500430662721695, 0.9605881151225583, 0.9880863410059637, 0.9881773266601371, 0.795361527917528, 0.9062226116941117, 0.9194029850246367, 0.9547826086456744, 0.96067653271956, 0.9882588391761512, 0.9887996168490104, 0.787832699570023, 0.8800755429150915, 0.9128919860127321, 0.9505962520795066, 0.9657002857809533, 0.9882604520753385, 0.9883336234917031, 0.7631378521971068, 0.9023746701347225, 0.9308478652536764, 0.9522139412038563, 0.9685379394934929, 0.9881041546841061, 0.9887893571709337, 0.7887963663393684, 0.8817391303848044, 0.9175757575257711, 0.9510309277850846, 0.9622283181605951, 0.9880727080174267, 0.9882609043544981, 0.7893660531199153, 0.9243557771736219, 0.9209778282615532, 0.9545454544954806, 0.9593940668551143, 0.9883833921761486, 0.9885956511630932, 0.7863117870225826, 0.8890909090409294, 0.9263768115442118, 0.9550173009880895, 0.9607005552682417, 0.9881549176555146, 0.9884782362492068, 0.7776940466723125, 0.9045936395259925, 0.933333333283341, 0.956207312123577, 0.9631027253168791, 0.988321167833212, 0.988463849339145, 0.7955555555057443, 0.8984310486700837, 0.9283351708430629, 0.9519191918692154, 0.9599827882460432, 0.9887859580192346, 0.9883061232162761, 0.7876106194193409, 0.9000916589784346, 0.908662345265273, 0.9477006311493198, 0.9618384987903981, 0.9884080542385753, 0.9890004908810442, 0.7760497666687164, 0.8879456705782036, 0.9140767823997367, 0.9550466496531596, 0.9616110760985231, 0.9883667026717944, 0.9881974606360019, 0.7893961707896414, 0.8876404493882294, 0.9114391143411608, 0.9549852755074487, 0.9584453172954649, 0.9886217735365765, 0.9885760642113012, 0.7643020594470726, 0.8859180035150832, 0.9206877426011458, 0.9563714902307986, 0.9602143887358193, 0.9890360494193451, 0.9888710968275022, 0.7853881278040726, 0.8851224104961625, 0.9192477875606306, 0.951448040835904, 0.9649050371093746, 0.989108800128911, 0.9882374844073883, 0.7812041115508679, 0.8959999999500203, 0.9279176200873084, 0.9504447267607048, 0.9616186899792065, 0.9878795891782607, 0.9883775236019396, 0.7775438595994256, 0.8758992805255624, 0.9201981287337226, 0.9482038428907129, 0.9609673313034175, 0.9882187444550119, 0.9887272556682284, 0.7631975866773417, 0.8877005347093909, 0.9123006833213125, 0.9540034071050425, 0.9575808483330344, 0.9882983909787668, 0.9884666666166668, 0.7841079459772566, 0.8869863013198972, 0.9064155385021007, 0.9516760992099484, 0.9577754891364076, 0.9894161227229761, 0.9881630336316105, 0.7719557195076685, 0.9029918403851993, 0.9201166180258131, 0.9595872742406507, 0.960385204589968, 0.9883896126416601, 0.9880132313192604, 0.7993966816999849, 0.8787346220941343, 0.920215956758648, 0.9513797634191595, 0.9599831507503406, 0.9880789438327324, 0.9882423474835578, 0.7709580837827086, 0.9004484304432916, 0.9288515405662552, 0.9553872053372142, 0.9585823201643021, 0.9888786319777816, 0.9887852089832838, 0.7658643325542129, 0.8759124087091468, 0.9147762108635636, 0.9499568593115407, 0.9601024108738336, 0.9886852378246779, 0.9883417527577893, 0.780630961065452, 0.8957388938756831, 0.9206349205849305, 0.9569752281116841, 0.9657258064016164, 0.9886109772157586, 0.9889393534097917, 0.7748538011198698, 0.8850174215528112, 0.9154169165666881, 0.9514563106296338, 0.9618185830442415, 0.988922858738604, 0.9886927486762713, 0.77777777772801, 0.8821966341395804, 0.9173419772595726, 0.9485714285214646, 0.9515322755422654, 0.988344885385522, 0.9886384057326324, 0.7571318426643995, 0.8964316796715179, 0.9280089988251503, 0.9552110249284939, 0.9624816599793485, 0.9886858517937468, 0.9885261785727406, 0.7693548386599551, 0.8818604650663425, 0.9144095340778532, 0.957601713012126, 0.9571219409665275, 0.9885601751983796, 0.988756411060371, 0.7732919254161996, 0.8876508820298733, 0.9148681054655988, 0.9476978095164278, 0.9651885619060734, 0.9878890422047758, 0.9884725841121019, 0.7634795110934148, 0.8984156569863676, 0.9217002236636562, 0.9497400346120694, 0.9553250052432478, 0.9880474553219927, 0.9884473074273074, 0.7621145373953069, 0.8857938718163236, 0.9180522564820788, 0.9459459458959805, 0.9574731626254772, 0.9882987900139256, 0.9880881000419377, 0.7813163481456156, 0.9022026431218281, 0.9120879120379218, 0.9561586638331161, 0.961822125763451, 0.9886275808266701, 0.9883672732121109, 0.7827317763126358, 0.8897196261182463, 0.9220701962617337, 0.9507916131293124, 0.961694842663462, 0.9879896243805427, 0.9882677154320672, 0.7859862908870281, 0.8810408921433308, 0.9221218961125371, 0.9442477875606384, 0.9627118643567816, 0.9883839052545361, 0.9886874362793762, 0.7872968980299874, 0.8906525572692434, 0.9194745859008953, 0.9549027719814667, 0.9621530697565621, 0.9884940703106371, 0.9888015153137342, 0.7809948032170236, 0.8800721370104396, 0.9198167238904444, 0.9579420170998675, 0.9646036016887729, 0.9889857123399678, 0.9883585175790071, 0.7599364069457702, 0.8890977443109483, 0.9143199520171228, 0.9508620689155448, 0.9579409917892996, 0.9895158803076936, 0.988312500781969, 0.7858657243320335, 0.8886894074904228, 0.9226869454506456, 0.9462636439466798, 0.9638064253261751, 0.9887615591730434, 0.9880565328062177, 0.7613554433533071, 0.9019607842637458, 0.928359976267359, 0.9560067681395372, 0.9574999999500053, 0.9889164745022259, 0.9881084974056321, 0.776617954021204, 0.8882833786966191, 0.9218573045932721, 0.9491235570256947, 0.9563283460882956, 0.9887371937632016, 0.9887140422472839, 0.7844891871239312, 0.8849868305031455, 0.9108669108169217, 0.9428320140221595, 0.9591459658707578, 0.9879545046965521, 0.9877408754497107, 0.7772988505250918, 0.8761904761404976, 0.9254947613004164, 0.9530907496212141, 0.9593392629741444, 0.9896812355727409, 0.9883590237136481, 0.7999999999501658, 0.8854166666166939, 0.9259046524485728, 0.9480671612151595, 0.9633085895576382, 0.9888789354740449, 0.9890850271204623, 0.7778656125984321, 0.8624999999500347, 0.9118505545326143, 0.9452474813341915, 0.9547463691354415, 0.9886608232052981, 0.9883870280274377, 0.7820419985020731, 0.8773841961353094, 0.9131718841791941, 0.9548905761000847, 0.9590691875668726, 0.9875713657822357, 0.9884066289287555, 0.7738927738431676, 0.8749999999500232, 0.9331756356685228, 0.952458350214138, 0.9624670318023053, 0.9882127924061875, 0.9889056110736898, 0.7808526551484695, 0.8911070779899497, 0.9300173510199907, 0.9555649597468845, 0.9601007979340435, 0.9879697927143136, 0.9885586884045554, 0.7819767441362557, 0.9036363635863837, 0.9173501576787175, 0.9490060500796883, 0.9639100845035198, 0.9883898360808302, 0.9885588704880929, 0.7670196671214141, 0.8874061717598646, 0.9313069908314704, 0.9488139824718781, 0.9645811240221124, 0.9889163368758687, 0.988730509218554, 0.7728965003227142, 0.8895027623809602, 0.9247441299921526, 0.9516393442123168, 0.9613536661292387, 0.9890753710790253, 0.9882738114623778, 0.7813953487875681, 0.8848484847985056, 0.9137529137029244, 0.9489666806754699, 0.9576708651162246, 0.9889160916481975, 0.9881063974981495, 0.7574144486195103, 0.8874538744887722, 0.9223248234155256, 0.9520547944705626, 0.9623609922511158, 0.9886830376149482, 0.9885066714418542, 0.7882352940679594, 0.8794449262292953, 0.9365628603883005, 0.9545644017841257, 0.9632635625300964, 0.9889464670451674, 0.9885144616194268, 0.7599364069456103, 0.8944223107069933, 0.9328621907627306, 0.9562937062437303, 0.9569459172352621, 0.9890134230661124, 0.9888124494138197, 0.7795857987668322, 0.8773841961353116, 0.9191438762877099, 0.9546044098073526, 0.9611307419994717, 0.9890027382240043, 0.9881716345301431, 0.7831858406583256, 0.9027522935280077, 0.9116915422385684, 0.9537572253835739, 0.9564478435871392, 0.9873361671480166, 0.9883579981650708, 0.7754789271533534, 0.8884892085831215, 0.924460431604687, 0.9470198674996898, 0.9628681177476989, 0.9886446320581299, 0.9877328486551342, 0.7965981572855082, 0.9002744738749963, 0.9102402022256122, 0.9523809523309726, 0.9622881355432237, 0.9878067400525199, 0.9887064616202127], \\\"y0\\\": \\\" \\\", \\\"yaxis\\\": \\\"y\\\"}, {\\\"alignmentgroup\\\": \\\"True\\\", \\\"hovertemplate\\\": \\\"type=CNN<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"CNN\\\", \\\"marker\\\": {\\\"color\\\": \\\"#FF7F0E\\\"}, \\\"name\\\": \\\"CNN\\\", \\\"notched\\\": false, \\\"offsetgroup\\\": \\\"CNN\\\", \\\"orientation\\\": \\\"v\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"box\\\", \\\"x\\\": [\\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\"], \\\"x0\\\": \\\" \\\", \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.6881287725885548, 0.8407258064020384, 0.8797427652237743, 0.9349736379114161, 0.9442508710301896, 0.9855729687173702, 0.9806715367102724, 0.6885880076896086, 0.8199791882961779, 0.879844961190723, 0.931235955006266, 0.9552553819677652, 0.9859484777017595, 0.9809759466263244, 0.7129533678282354, 0.8655303029807768, 0.8906148866817876, 0.9319279753563087, 0.9538929969052166, 0.9837277118125243, 0.9808070568306615, 0.6848249026770942, 0.85798237017573, 0.8726072606766403, 0.92377086147465, 0.9443965516741898, 0.9848750055601638, 0.9805328691426649, 0.7298850574230784, 0.8315270935467794, 0.8726567549602542, 0.9333333332834245, 0.9463652481769917, 0.9845090086595302, 0.9806070314997564], \\\"y0\\\": \\\" \\\", \\\"yaxis\\\": \\\"y\\\"}, {\\\"alignmentgroup\\\": \\\"True\\\", \\\"hovertemplate\\\": \\\"type=Ensembled CNNs<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ensembled CNNs\\\", \\\"marker\\\": {\\\"color\\\": \\\"#2CA02C\\\"}, \\\"name\\\": \\\"Ensembled CNNs\\\", \\\"notched\\\": false, \\\"offsetgroup\\\": \\\"Ensembled CNNs\\\", \\\"orientation\\\": \\\"v\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"box\\\", \\\"x\\\": [\\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\"], \\\"x0\\\": \\\" \\\", \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.7504655492995898, 0.8676599473647442, 0.9033505154140149, 0.942619360440598, 0.9491384678761128, 0.9861005245431053, 0.9846174406449552, 0.7390917185622965, 0.8523430591898686, 0.9056603773086297, 0.9475032009743399, 0.9552110249284755, 0.9869362363419142, 0.9840112688343938, 0.7302192563861426, 0.8362919131652606, 0.9181111774755362, 0.9338521400278369, 0.9518320295918449, 0.9869479468554012, 0.9846005581044766, 0.7406749555461334, 0.8802336903104007, 0.901111761214063, 0.9442508710301445, 0.9550374687260318, 0.9873243500732054, 0.9842365388102424, 0.7748279252210218, 0.8604651162293825, 0.8932406821990087, 0.9442653154728159, 0.9531807683732723, 0.9871563716806634, 0.9848050381383964, 0.7580952380463597, 0.8630541871422714, 0.9070769230270247, 0.9409209382645238, 0.9584826132271443, 0.9867453451745257, 0.9844562362152091, 0.7605381165427707, 0.8440709616683081, 0.8986265532529394, 0.944105213665378, 0.9573157782468922, 0.9873685602304059, 0.9843964814833895, 0.7553488371603083, 0.8613569321036915, 0.9159802305926382, 0.9441624364982384, 0.960187353579989, 0.9878443724268208, 0.9844798237209025, 0.7557182067215968, 0.8522402287397441, 0.9066827212023764, 0.9467509024770876, 0.9526536004785296, 0.9874403921858796, 0.984087588268889, 0.7654320987162984, 0.8574317491919303, 0.9022950819173963, 0.9495392715603778, 0.9453772581859283, 0.9869478132134879, 0.9844223395483593, 0.7507002800629335, 0.8643761301491174, 0.8947368420553897, 0.9516562219732888, 0.950841162283421, 0.9872600035387321, 0.9838175996499292, 0.7364102563613562, 0.8672566371183794, 0.9085614443298832, 0.9468085105883057, 0.9530369442205242, 0.9874721354827696, 0.9848492952349618, 0.7523629489113276, 0.8822463767617834, 0.9090909090410403, 0.9454386730185468, 0.9479545940815164, 0.98618717153504, 0.9845123146949973, 0.7274418604162884, 0.8622129435827799, 0.9101123595006856, 0.9489569462438372, 0.9515512111697255, 0.9862243216022039, 0.9843576909743579, 0.7438016528437849, 0.8533834585968605, 0.904261890005746, 0.9448677722494266, 0.9574054053554241, 0.986766475020179, 0.9848053876757377, 0.748592870495208, 0.8843663274246931, 0.9083023543491141, 0.9505300352857, 0.9510186388750151, 0.9868931389094766, 0.9841944838316034, 0.7669990933325926, 0.8819999999501117, 0.9039057656041808, 0.9504950494549598, 0.9593908628941702, 0.9873339511393736, 0.9841282640040797, 0.7495327102315951, 0.8636363635865507, 0.9074187614461618, 0.9485325392949764, 0.9587118083727977, 0.9874397416686334, 0.9847316967862251, 0.7679403540982325, 0.8548707752982266, 0.9028711056312644, 0.9484052532333085, 0.9500955616403918, 0.986672015640471, 0.9843508808783017, 0.759808612391254, 0.8537313432338749, 0.9135360762768642, 0.9530495831005088, 0.9532428355457868, 0.9874311410405014, 0.9844235510595967, 0.7276227140995326, 0.8726937268874168, 0.8966331954611783, 0.9508909169426252, 0.9554193956821011, 0.9861897314537122, 0.9847437089893022, 0.7555147058333482, 0.8676470587737161, 0.899234693827642, 0.9421800947367658, 0.9554758387345623, 0.9882771660049451, 0.9842978193146844, 0.7581354441022232, 0.8574023614398005, 0.9110546378153953, 0.951456310629633, 0.9543994861414036, 0.9877859892406146, 0.9850710361564128, 0.762348555402887, 0.8701180744279453, 0.9156777013866761, 0.9441100601391802, 0.9550394203633914, 0.9868727926467424, 0.984039796122513, 0.7284768211431246, 0.8645418326195529, 0.919185687797114, 0.9431239388294668, 0.9542084604820646, 0.9864979278498273, 0.9844364219315485, 0.7580645160800527, 0.8590225563411737, 0.9072411729004464, 0.9395796847135826, 0.954690491334821, 0.9878576660469176, 0.9844127036972695, 0.7245283018381609, 0.8685185184687184, 0.899772209517276, 0.9389547649917416, 0.9563883409537433, 0.9871965857062027, 0.9844186868490186, 0.7432808155214266, 0.8557599225058771, 0.8962264150445055, 0.9483204133867118, 0.9538775509704186, 0.9866341571039409, 0.984734152100063, 0.7348017620660601, 0.8515463917028255, 0.902989627771989, 0.9480851063329991, 0.9556921771813008, 0.9864750633481416, 0.9844941669931295, 0.749301025114131, 0.8663316582416483, 0.9088699877994137, 0.9474174033934694, 0.9528261792955245, 0.986228243265989, 0.9842648942485268, 0.745674740435504, 0.8672727272230158, 0.9110576922577637, 0.9432314409980453, 0.9566824060267927, 0.9866223738052713, 0.9839095193720783, 0.7638758230932998, 0.8802129546972743, 0.9008674101112724, 0.9424364122659362, 0.9480925577986632, 0.9871357545260606, 0.984593378779097, 0.750896057299195, 0.8620689654674798, 0.9209744503362779, 0.9347426470088404, 0.9537712894877226, 0.987318239110747, 0.984276414571933, 0.7555988314992707, 0.8655913977997833, 0.9023437499501694, 0.9481798714703538, 0.9583071443036676, 0.9868674564885901, 0.9843975613169182, 0.7267657992080504, 0.883988494676911, 0.9085614443298432, 0.942611839082412, 0.9491453892726499, 0.987133003133588, 0.9843881600168407, 0.7618213659754931, 0.8611898016499088, 0.8971141781182398, 0.9464838566505891, 0.9511373209272608, 0.9883218471811486, 0.9841451278379, 0.7277992277506907, 0.8509021841858132, 0.9018224573281324, 0.9480017189014553, 0.9533915937910422, 0.9869417660705143, 0.9849401621946523, 0.733535967529595, 0.8655387354800896, 0.900932400882544, 0.9428197293258284, 0.9570899585646905, 0.9868653031940069, 0.9846244389995109, 0.7653880463384146, 0.8635043561941281, 0.9068776627620808, 0.939177101917814, 0.9570125922209608, 0.9863460901672729, 0.9849064953200292, 0.7589545014036971, 0.8733535967080445, 0.9105691056411648, 0.9473684210026503, 0.9544513457057, 0.9878073155606347, 0.9840169019252508, 0.742647058775038, 0.8749999999501958, 0.899815611505192, 0.9529461635786701, 0.9543937708065191, 0.987008893341873, 0.98475783375344, 0.7307692307207756, 0.8753680078010041, 0.9001814881534175, 0.9485918640537223, 0.9521452144714613, 0.9866134492851582, 0.9842117529048862, 0.764485981259386, 0.8576779025718869, 0.9047923322184638, 0.9358123062802602, 0.952621604498341, 0.9870432116222996, 0.9844225556098938, 0.7683615818718925, 0.8649746192395124, 0.9143192487764058, 0.9442446042665544, 0.951668092336675, 0.9866820562405098, 0.9840429796629342, 0.749122806968648, 0.8654037885843344, 0.9139318884949833, 0.943328870989724, 0.9511777301427378, 0.9865435004163154, 0.9843340984559001, 0.7387559808122042, 0.8445692883398515, 0.8927680797507143, 0.9475524475024577, 0.9552495696574084, 0.9870217050294378, 0.9845426732842708, 0.7416974169252528, 0.8681424446085841, 0.9075630251602476, 0.9559695173081829, 0.9514478553821886, 0.9874436289180792, 0.9847561586892897, 0.75551632828277, 0.863723608395468, 0.9116607773352696, 0.9449781658888973, 0.9561752987547943, 0.9875546140106389, 0.9837020886666238, 0.7661870503107382, 0.8714153561019272, 0.911711711661835, 0.9452350150427343, 0.9568511891733424, 0.9876537746203258, 0.9843472192834989, 0.753946146655026, 0.8631178706725469, 0.9086419752587876, 0.9345549737720062, 0.952380952330967, 0.9867753582558295, 0.9843151436720392, 0.7586821014649776, 0.8683957732451536, 0.8946135830882795, 0.9496944052156465, 0.9542148052559535, 0.9867199644181334, 0.9844892828467603, 0.7555953446243143, 0.8849056603275859, 0.8929593588511592, 0.9386666666166787, 0.9469795740482334, 0.9864999666986879, 0.9845157845058302, 0.7406082289316075, 0.8558394160085508, 0.9166136218469825, 0.9437043403023956, 0.957319675579541, 0.9861781774186579, 0.9845701689433876, 0.7360454114934587, 0.8678537956390463, 0.9111969111470022, 0.952340425481925, 0.9495976280737047, 0.9879774160908178, 0.9844122623036153, 0.7553648068182556, 0.8574358973861355, 0.9051522247744418, 0.9530026109160689, 0.9501632208422889, 0.9864514397639876, 0.9848198867015362, 0.7515583258641348, 0.8814887364829493, 0.8950695321878489, 0.9505840071377886, 0.9586983729162136, 0.9875994488143949, 0.9843857711242464, 0.7462686566674865, 0.8707342295263045, 0.8939580763989197, 0.9464530891948562, 0.9520533218162754, 0.9869059487702074, 0.9850467164386834, 0.7540360873206075, 0.8854064642008227, 0.8997524751976923, 0.9412780655804118, 0.9473904841252465, 0.9881938875023486, 0.9847466751239677, 0.7351851851363591, 0.8579823701754997, 0.903187721319674, 0.9469964663811067, 0.9550348321222747, 0.986731654431452, 0.9846288801110878, 0.7696629212991924, 0.8667271078377771, 0.9152737751662273, 0.9497354496854565, 0.9574468084606544, 0.9869379158418298, 0.9846824499556833, 0.7528089887150001, 0.8662301215591902, 0.9147659063126764, 0.9415929203040014, 0.9538461537961641, 0.9868039475254795, 0.9844897190990506, 0.7707231040075235, 0.8663414633649571, 0.9146981626797475, 0.9466128308158842, 0.9515753858666948, 0.9870314758703657, 0.984396539617952, 0.7806267805778233, 0.8862512363497971, 0.9110966904108574, 0.9437526835051837, 0.9542084604820665, 0.9877803557117949, 0.9843632465899954, 0.7558465855453683, 0.8726178535109071, 0.910662824157543, 0.9443478260369652, 0.9498399145711431, 0.9869921952671914, 0.9844880103628928, 0.7342465752940038, 0.8694029850248524, 0.9047333732275467, 0.9433319130305359, 0.9484221979913695, 0.9861653067964007, 0.9847374193566187, 0.7581930911824222, 0.8718894008719215, 0.9152752009395831, 0.9404594467385712, 0.9557999584476233, 0.9873881112917717, 0.9847414316000205, 0.7680890537542997, 0.8689516128535155, 0.9068010075068695, 0.9488919040657938, 0.9488491048093447, 0.9874853774854809, 0.984392053355827, 0.751412429329497, 0.8664745436582314, 0.9049939098160827, 0.9435520880638303, 0.9540752999086337, 0.9873945849477818, 0.9846164167089146, 0.7514450866564983, 0.8673565380500051, 0.9071651089843665, 0.9409523809023912, 0.9489270385766243, 0.9871090586267646, 0.9841197517624928, 0.7327971402549255, 0.8752436646674827, 0.903621853848245, 0.9440559440059626, 0.9526474386069291, 0.9873507453920604, 0.9846734323384961, 0.754612546076542, 0.8648164726448547, 0.9134906230596532, 0.9449581681578472, 0.9496615904745449, 0.9863795447459174, 0.9846904992310088, 0.7555147058334257, 0.8648148147651422, 0.9006870705309817, 0.9533632286495661, 0.9512247070852613, 0.9872484997735097, 0.9845967660104432, 0.7441860464629407, 0.856127886273599, 0.910126582228602, 0.9487870619446284, 0.9577754891364229, 0.9859500445530339, 0.9844365523152829, 0.7396449703652608, 0.8677450047075903, 0.915353181502953, 0.942206654941254, 0.9563169164382328, 0.987781293902181, 0.9851574011556266, 0.7516525023120683, 0.8574237954272701, 0.8948985863053859, 0.9474134244904151, 0.9520262869160596, 0.9861446717449865, 0.9846942521177027, 0.7535971222532901, 0.858202038875267, 0.9184549355724391, 0.9489981784563964, 0.9545649377982793, 0.9862235729473168, 0.9846093849305351, 0.7375609755611344, 0.8677766894702493, 0.9017412934825071, 0.9575923392112906, 0.9527694288894729, 0.986883502409344, 0.9841290921872006, 0.7638279191785348, 0.8661567877130554, 0.8972081217776174, 0.9503161697783754, 0.9545943619039611, 0.9873412088756721, 0.9844465265194019, 0.7386888272824311, 0.8652751422652121, 0.9067796609669869, 0.9471783295211172, 0.9577825159414801, 0.9873075644643434, 0.9846741490929227, 0.7581093604702417, 0.8438133873742484, 0.9007263922020188, 0.9506649506149565, 0.9577586206396704, 0.987357746428874, 0.9845012122579397, 0.7633885101750801, 0.8676748581732703, 0.8974358973860922, 0.9498473614851256, 0.9543788186872818, 0.9872369009800055, 0.9843642046440927, 0.7416356876836381, 0.866412213690616, 0.9098408956484156, 0.9551979120857157, 0.955007256844056, 0.9861704469880983, 0.9844540949039087, 0.7553956834043688, 0.8783165598769952, 0.8991282689414132, 0.945391000386886, 0.9545921511725287, 0.9870445890944933, 0.9843373170623857, 0.7450628365760978, 0.870337477747669, 0.898688915325616, 0.9423580785526298, 0.9576379973826232, 0.9864572409754127, 0.984180473599724, 0.7481203007030577, 0.8527430220869187, 0.9189511322504593, 0.946143903439891, 0.953672787929984, 0.988084163848118, 0.9841849636235843, 0.751923076874005, 0.8658865886090827, 0.9262759923886618, 0.9418819187691939, 0.9494741183249316, 0.986248331058145, 0.984760706924753, 0.7516158817609112, 0.8533834585967545, 0.9089848307552144, 0.947056332012708, 0.9498947367921279, 0.9876526847731846, 0.9842875663701315, 0.7795414461589137, 0.8622862285730688, 0.9003735989538661, 0.9414374444930446, 0.9536679536179651, 0.9866249160761476, 0.984697334562469, 0.7591377693980679, 0.8638589617523716, 0.8970059879741297, 0.9507782919146701, 0.9512352308844934, 0.9870746036524731, 0.9841163907668715, 0.7447864944893486, 0.8614800758515626, 0.9151244415582819, 0.9472351202539466, 0.955876113653875, 0.9882559394748387, 0.9840888339367879, 0.7492739592926256, 0.8721374045304683, 0.9030982201214955, 0.9509022240372945, 0.950330419903114, 0.9872515603058949, 0.9841557869237222, 0.7222731438559826, 0.8645739909816286, 0.903607332889272, 0.9487402258405369, 0.9547987615599169, 0.9864834920838367, 0.9845345665970621, 0.7533460802571443, 0.8726591759801773, 0.9038112522187527, 0.9471422431816446, 0.9539515955807659, 0.9872246207847184, 0.9848738146642609, 0.7607699357898401, 0.856873822925738, 0.904909881864331, 0.9408154317781638, 0.9562149823115046, 0.9870799893670574, 0.9844887877128552, 0.7595171772954514, 0.8503336510466087, 0.8944723617591496, 0.9517819705999023, 0.9530083442627082, 0.986863155947207, 0.984223137553317, 0.7423822714194093, 0.8635043561942258, 0.9018867924029691, 0.946428571378578, 0.950728363274777, 0.9863436221309986, 0.9844192443974267, 0.7536732929504019, 0.874172185380613, 0.899933730897812, 0.9550021843099923, 0.9498085920384919, 0.986323985403898, 0.9844137394463617, 0.7367405978296634, 0.8758169934142485, 0.8987566606961249, 0.9529616724238771, 0.9490031479038388, 0.9876280430523028, 0.9838162988661746, 0.7507055502803396, 0.8625592416563653, 0.9136868063619259, 0.9462461127887614, 0.9517329363735728, 0.987101669145752, 0.9845055061477976, 0.7745974954788442, 0.868804664673257, 0.9021864211238967, 0.9427917619637376, 0.9513028619747865, 0.9870381800046697, 0.9845804470162537], \\\"y0\\\": \\\" \\\", \\\"yaxis\\\": \\\"y\\\"}, {\\\"alignmentgroup\\\": \\\"True\\\", \\\"hovertemplate\\\": \\\"type=Ensembled CNNs with BLAST<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ensembled CNNs with BLAST\\\", \\\"marker\\\": {\\\"color\\\": \\\"#D62728\\\"}, \\\"name\\\": \\\"Ensembled CNNs with BLAST\\\", \\\"notched\\\": false, \\\"offsetgroup\\\": \\\"Ensembled CNNs with BLAST\\\", \\\"orientation\\\": \\\"v\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"box\\\", \\\"x\\\": [\\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\"], \\\"x0\\\": \\\" \\\", \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.7878787878289315, 0.9073256839748084, 0.9301760776671341, 0.9588313412514656, 0.9629942904976903, 0.99071096815293, 0.9900546164041217, 0.8329258353208745, 0.9114155250641974, 0.9283408650242857, 0.9609582963120267, 0.9620573355317937, 0.989294307170273, 0.9899010098490102, 0.8133891212889727, 0.8962264150444234, 0.9166666666167584, 0.9679075737625835, 0.9675060925576422, 0.9897082512476557, 0.9898589625519961, 0.8092783504655113, 0.902584492991856, 0.9285292379890533, 0.96157205235175, 0.9662781015320175, 0.9903246894248315, 0.9902414038042132, 0.8112118713432996, 0.900662251605649, 0.9273809523310249, 0.9703989703489737, 0.9614975536619912, 0.9907787336804218, 0.9897351548625576, 0.7909238249095787, 0.8820798513892575, 0.9286592865429298, 0.9677996421682498, 0.9632874425866361, 0.9904845428134075, 0.9899081892501359, 0.7938237964986514, 0.9082397003245785, 0.9296515449862097, 0.9710820895022417, 0.9643234113918456, 0.990497858622377, 0.9901682089242815, 0.8155500413066123, 0.8999046710654226, 0.9310964648991553, 0.9662618083170746, 0.9672758180545528, 0.9899377730203038, 0.9896618047264065, 0.7929883138065561, 0.8884578079034942, 0.9207920791579748, 0.9669749008747057, 0.9662971174666359, 0.9902006121364748, 0.9898942795926692, 0.7877838683917309, 0.9063670411485306, 0.9345132742863476, 0.9581993568631878, 0.9702479338343, 0.9905248302705432, 0.9894308725050532, 0.7789661318573634, 0.8998073217227488, 0.9207501511902229, 0.9576973396796156, 0.9659163986638312, 0.9897291421226309, 0.9903339776848178, 0.8211382113321766, 0.9198237884962784, 0.9290561381363799, 0.9706621960941769, 0.9685908318685094, 0.9904428231976664, 0.9900443739807865, 0.7946353729593324, 0.9021526418287039, 0.9327731091937662, 0.9621668099242082, 0.9663724253388276, 0.9904829671295787, 0.9895611404104319, 0.8152350080537912, 0.9092511012716301, 0.9090909090409878, 0.9605889995169155, 0.9667802384508554, 0.9907686805195258, 0.9901677731302397, 0.8262295081468405, 0.9010600706214307, 0.9274092615270416, 0.959834368480024, 0.9652578003483218, 0.9908720747631913, 0.9899449540784405, 0.803100775143882, 0.8976525821097177, 0.9230769230269769, 0.9593639575471774, 0.9633943427120673, 0.9906558769115957, 0.9896891971323415, 0.8074324323824684, 0.8929604628238064, 0.9184750732638999, 0.9658536584865887, 0.9644691780321994, 0.9904416319528323, 0.9900963686185119, 0.7884451996101992, 0.9007936507437273, 0.9211165048044404, 0.9641921396879953, 0.9608333332833384, 0.9903882438621848, 0.9903773106615726, 0.829463570806772, 0.9025341130104632, 0.9332579185020939, 0.962591240825916, 0.968464730240462, 0.9901294533935511, 0.9900851556690261, 0.7951807228416896, 0.8932419196366237, 0.9332559488763363, 0.9626966291634864, 0.9658065869019662, 0.9908401284942585, 0.9903322901008961, 0.8111769686206801, 0.9092511012716159, 0.9252981794855504, 0.9625668448697919, 0.9660804019600575, 0.9910217472731511, 0.9903051059275186, 0.7989276138910882, 0.9099350045925736, 0.9304997127587885, 0.9647829647329698, 0.9664970313325301, 0.9898753015487557, 0.9897375132550832, 0.7986688851414045, 0.9067201604315113, 0.9296781882695002, 0.9671232876212429, 0.9675503711058927, 0.9897719724981521, 0.9902644966604388, 0.8117283950117775, 0.9131238446820491, 0.9309407286069566, 0.9550021843099892, 0.9648742410601547, 0.9899841157283272, 0.9898774070705364, 0.8003327786522051, 0.9102803737818175, 0.9291536049657099, 0.9653698161107555, 0.9687633717942538, 0.9904475499234657, 0.9897341299576193, 0.7880341879843156, 0.9202226344583774, 0.9284890426259702, 0.9635555555055628, 0.9664227291794523, 0.9907811525286054, 0.989741694888027, 0.7859589040598053, 0.9047619047119598, 0.9217498459143441, 0.9650959859884005, 0.9696074292450648, 0.9904432101319166, 0.9900045251982231, 0.8235294117147474, 0.9097162510248452, 0.9201166180258785, 0.9658194565670057, 0.9640914036496807, 0.9897035051868198, 0.9899611528154769, 0.815254237238199, 0.9092609915309813, 0.9258373205242093, 0.9599999999500036, 0.9639901587511706, 0.9911480864724628, 0.9899437167736017, 0.8198347106938318, 0.892988929839357, 0.9292088042332193, 0.9609407811343801, 0.9668674698295239, 0.9904130613197537, 0.9900869646093272, 0.812860675960034, 0.898770104018156, 0.9307189541984129, 0.9648894667900549, 0.9636719599239038, 0.9906029069012147, 0.9896553106248106, 0.7972456005621901, 0.8979591836236046, 0.9284447072238678, 0.9641332194205414, 0.9596841229757811, 0.9900294285088793, 0.9902306684342167, 0.8102310230523959, 0.8774555658995451, 0.9373134327858947, 0.9647168058924361, 0.9686847598664962, 0.9900338137958805, 0.989764968349674, 0.8363072148453259, 0.9129629629130346, 0.9144578312753814, 0.9574283231472249, 0.9578050300892695, 0.9905449769690418, 0.9902108584597187, 0.8039215685775312, 0.9010600706214404, 0.921874999950066, 0.9663019693154303, 0.9628090587490994, 0.9907038512116205, 0.9898856935120358, 0.7939444911191622, 0.8971792538171826, 0.9234338746600546, 0.9639175257231996, 0.9694704049344302, 0.9905040823071178, 0.9901485075224159, 0.7993474714019119, 0.8850678732532137, 0.9281045751134369, 0.9673321233619818, 0.9619027572642569, 0.9906654220062743, 0.9896911337920019, 0.793375394271835, 0.8935427573671709, 0.9347966429455437, 0.9664828170904358, 0.9654255318649, 0.9904654822976507, 0.9902045827105996, 0.8141432456436469, 0.9071038250867166, 0.9202453987230593, 0.9641501475670422, 0.9636048526363141, 0.9897995704582326, 0.9899180717226106, 0.7966666666168339, 0.9141323791987377, 0.9372781064588969, 0.9609554432205631, 0.9646536052822583, 0.9901100121735807, 0.9896477843355751, 0.830125522962634, 0.9041336850863647, 0.9236994219153535, 0.964223385639358, 0.9651825279094868, 0.9900283959085291, 0.9903468289135438, 0.8164915116719548, 0.9003558718362223, 0.9208211143195927, 0.9658839166535924, 0.970606629093218, 0.9905345590238853, 0.989482580473993, 0.7971918876256481, 0.8997078869997303, 0.9390171698730956, 0.9648535564353595, 0.9686767525602773, 0.9906840563780016, 0.9902384957970208, 0.8156146178902366, 0.9085714285214719, 0.9234629861483287, 0.9679402722381014, 0.9625026783301216, 0.9911312616994199, 0.9901704548772023, 0.7928388746303686, 0.8870636549808849, 0.9231671553752668, 0.9592920353482338, 0.9679433804662427, 0.9901268762902435, 0.9898784204209115, 0.7542147293201062, 0.8939393938894599, 0.9149057680825924, 0.9565598946406636, 0.9734441515818713, 0.9892856356616146, 0.9900562098001072, 0.8210890232862963, 0.9055912006833351, 0.9201474200975224, 0.9662522201986711, 0.9666176778840778, 0.9908133541960233, 0.9901902753538615, 0.8188976377454013, 0.886052871417705, 0.9234661606078517, 0.9673913042978289, 0.9638659120092161, 0.9895931882186856, 0.9900405210310087, 0.7940140844572274, 0.8998073217227192, 0.9268882174727309, 0.9672059466050121, 0.9665092313798034, 0.9900118427314899, 0.9896180767104641, 0.8163580246414549, 0.8973172987475079, 0.9268882174727227, 0.9598556607528906, 0.9688186209425373, 0.9906405251451745, 0.9898661746314797, 0.8006700167004797, 0.9206927984915004, 0.9347966429455479, 0.9649977846199189, 0.9636441402408537, 0.9908885841421362, 0.9898172985313616, 0.8079681274401596, 0.9059360730093998, 0.9304997127588216, 0.9617582417082473, 0.9671052631078986, 0.9905139209360244, 0.989831008335899, 0.8073555165875859, 0.8984995586438869, 0.9334105384561421, 0.959174903258986, 0.9667660843130234, 0.9892654738915496, 0.9903440680652805, 0.804224207911075, 0.8882681563746643, 0.9367541765610118, 0.966652230352775, 0.9661089660589697, 0.9907312962380842, 0.989672655228049, 0.8262676641229302, 0.9038461537961964, 0.9146183699371188, 0.965637233529822, 0.970973017120894, 0.990392741132227, 0.990383522962049, 0.8112244897460205, 0.8909871244135649, 0.9234507897434979, 0.9666666666166696, 0.9645875251009102, 0.9898257099384992, 0.9895921350376489, 0.8006158583026696, 0.8831168830669157, 0.9297297296797968, 0.9649502379422142, 0.96905914539307, 0.9894208986237638, 0.9897574773936595, 0.8099173553219717, 0.8979206048649933, 0.9256594723721315, 0.9621478872739471, 0.9656184485873234, 0.9903136940760118, 0.989841511501023, 0.7960992907302006, 0.9021526418286977, 0.9265671641291839, 0.9623397435397469, 0.9632077549621262, 0.9902198334228404, 0.9898721854643584, 0.8080469404362725, 0.9169741696917169, 0.9314391599253515, 0.960247349773326, 0.9651508711782223, 0.9911324384188535, 0.9894326472621009, 0.8047538199840865, 0.8864970645293982, 0.9299820466287105, 0.966175195093108, 0.9669507378423339, 0.9907581033520897, 0.9901521456369862, 0.7896924355278617, 0.9026876737220326, 0.9169308813704943, 0.9696695336756734, 0.9661774090119115, 0.9899816440219206, 0.9897944805152289, 0.7982832617526657, 0.9207828517673591, 0.9294653014290121, 0.9688699359841177, 0.9638712502237049, 0.9902921307601826, 0.9898260365016461, 0.7993579453754501, 0.9003690036400722, 0.9148665819068479, 0.9622475855514155, 0.9674574847285043, 0.9906422139623445, 0.9902006719804155, 0.7907742997852965, 0.9016553066686966, 0.93191755148037, 0.9602220166012528, 0.9664227291794568, 0.990206794961935, 0.9898144682171229, 0.7899999999500706, 0.9000868809231477, 0.921923797576586, 0.9656903765190418, 0.9659531090223811, 0.9905328048817484, 0.9901580435367576, 0.8343145499920817, 0.9062499999500456, 0.9285714285214869, 0.9604086844966201, 0.9595789473184297, 0.9910264729734747, 0.9899716633676733, 0.8030050082973054, 0.9125728559034395, 0.9283950616784441, 0.9663418954327343, 0.9667519181085718, 0.9889418321895044, 0.9902020289103747, 0.8183279742265783, 0.9128113878503872, 0.9279688513452664, 0.9680403700088758, 0.9674498813899705, 0.9904812502267081, 0.9899741849773159, 0.7986289631034275, 0.8966861597941022, 0.9267676767177577, 0.9658411613505153, 0.9698000850201898, 0.989746548842539, 0.9896406993030451, 0.8096468561085853, 0.9101123595006293, 0.9259259258759793, 0.9669966996199697, 0.9670928526014377, 0.990645919176848, 0.9901558434091347, 0.8128704487222714, 0.9017223910341563, 0.9329512893483496, 0.9659388645788246, 0.964870172326181, 0.9901505865372882, 0.990168690183158, 0.8003144653588642, 0.8963636363136751, 0.9411057691808112, 0.9570125922209546, 0.9580193756227714, 0.9896490448189476, 0.9900601201904811, 0.793133047160352, 0.9193245778112036, 0.9243902438525197, 0.9677130044343081, 0.969211822610105, 0.9910069945097871, 0.9898558961685295, 0.8030560271147368, 0.9012003692944629, 0.9359430604482463, 0.9686379927815473, 0.9685507861803516, 0.9897155068285899, 0.9899814619739188, 0.7914262159434676, 0.8965517240879924, 0.9285292379890708, 0.9603485838279994, 0.960308946527993, 0.9908566355469823, 0.9901058889836373, 0.8136752136252741, 0.9104204752699672, 0.9432799013063846, 0.9659922513490575, 0.9698702440670078, 0.9891820756531655, 0.990311582166521, 0.8169934640024008, 0.9173630454468068, 0.9328358208455754, 0.9717791410542969, 0.9645266593624067, 0.9903329752453818, 0.9898465582417538, 0.8019720623987334, 0.8890814557559844, 0.9143546440997165, 0.9720483937756181, 0.9666947722940213, 0.9897922795256446, 0.9897791579441347, 0.8073541166567092, 0.8862164661850246, 0.9219576719077415, 0.964347826036962, 0.9624559219578861, 0.98988602407305, 0.9900872750281166, 0.8108566581350355, 0.9070422534711674, 0.9292929292429939, 0.9573459715139858, 0.9638449880426634, 0.9904415723786488, 0.9901557997579181, 0.7928388746304521, 0.89345063533614, 0.9378151260004463, 0.9631901839990854, 0.9653487338460502, 0.9908777891553843, 0.9898481214527978, 0.7982456139851729, 0.8870466320744341, 0.9357231149067963, 0.9641803623604539, 0.9631512070656332, 0.9904177673793649, 0.9900748900242209, 0.7986111110612257, 0.8911627906477745, 0.9209138839571208, 0.9622641508934024, 0.9658411613505171, 0.9900095676246103, 0.9901454151645175, 0.7820186598313587, 0.8950177935443556, 0.9176904176405426, 0.9695340501292151, 0.966743359079893, 0.9898918089829465, 0.9898404254819149, 0.7973311092078462, 0.913777777727814, 0.9245861434204087, 0.9610270517610995, 0.9651531150503283, 0.9903763570598243, 0.9897800637074005, 0.7787456445493713, 0.886405958981741, 0.9254947613004811, 0.9675987571626095, 0.9641666666166716, 0.990627027218864, 0.9905935993188955, 0.8151898733678248, 0.898225956999586, 0.9351535835677734, 0.956743002494533, 0.9680693592225816, 0.9907652880376636, 0.9901933314153964, 0.7959183672970499, 0.919324577811187, 0.9284848484349276, 0.9634974532606996, 0.9665876265936764, 0.9893484821087081, 0.9901373015585433, 0.804659498157998, 0.9014084506542862, 0.9319809068712651, 0.9624190064294856, 0.9698347106938059, 0.9905342039028465, 0.989943671144799, 0.785185185135272, 0.8800773693891039, 0.9189504372678222, 0.9582784364893132, 0.9663957829502264, 0.9904282788209826, 0.9903294959951068, 0.815068493100745, 0.9001919385297332, 0.927394752848152, 0.9613161404568956, 0.965871710476322, 0.9897245832740869, 0.9898707602112876, 0.7868312756703341, 0.8913857677403078, 0.919154228805821, 0.9624943515089731, 0.9690246964757516, 0.9895198420898823, 0.9898923416358635, 0.8151898733678766, 0.9040358743894857, 0.9244823385614979, 0.9657657657157689, 0.962962962912966, 0.9900972432366449, 0.9897864314433857, 0.8078231292017702, 0.9189189188689885, 0.9304295220311011, 0.9669952849907241, 0.9642857142357192, 0.9908486954491424, 0.9899810342825492, 0.7964022894022365, 0.9018867924028786, 0.9247980111371248, 0.957885304609502, 0.9669011170373054, 0.9901246703999756, 0.990239953925931, 0.806424344835924, 0.9177958445751457, 0.926417370275777, 0.9636032756551901, 0.9707778254764324, 0.9902373448604176, 0.990013177471957, 0.8010075566251678, 0.8921658985676026, 0.931793179267977, 0.9600336558187456, 0.965713126344818, 0.9901995253081791, 0.9897551123628985, 0.8041074249105725, 0.9076790335997273, 0.9171138938081258, 0.9648155997804411, 0.963386243336249, 0.990367795171541, 0.9896439001670361, 0.8217821781679054, 0.9048888888389721, 0.9240196077932098, 0.9626769626269666, 0.9628844114028152, 0.9901390307322152, 0.9901901821132386], \\\"y0\\\": \\\" \\\", \\\"yaxis\\\": \\\"y\\\"}],                        {\\\"boxmode\\\": \\\"group\\\", \\\"legend\\\": {\\\"title\\\": {\\\"text\\\": \\\"type\\\"}, \\\"tracegroupgap\\\": 0}, \\\"margin\\\": {\\\"t\\\": 60}, \\\"template\\\": {\\\"data\\\": {\\\"bar\\\": [{\\\"error_x\\\": {\\\"color\\\": \\\"rgb(36,36,36)\\\"}, \\\"error_y\\\": {\\\"color\\\": \\\"rgb(36,36,36)\\\"}, \\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"bar\\\"}], \\\"barpolar\\\": [{\\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"barpolar\\\"}], \\\"carpet\\\": [{\\\"aaxis\\\": {\\\"endlinecolor\\\": \\\"rgb(36,36,36)\\\", \\\"gridcolor\\\": \\\"white\\\", \\\"linecolor\\\": \\\"white\\\", \\\"minorgridcolor\\\": \\\"white\\\", \\\"startlinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"baxis\\\": {\\\"endlinecolor\\\": \\\"rgb(36,36,36)\\\", \\\"gridcolor\\\": \\\"white\\\", \\\"linecolor\\\": \\\"white\\\", \\\"minorgridcolor\\\": \\\"white\\\", \\\"startlinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"type\\\": \\\"carpet\\\"}], \\\"choropleth\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"type\\\": \\\"choropleth\\\"}], \\\"contour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"contour\\\"}], \\\"contourcarpet\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"type\\\": \\\"contourcarpet\\\"}], \\\"heatmap\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"heatmap\\\"}], \\\"heatmapgl\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"heatmapgl\\\"}], \\\"histogram\\\": [{\\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.6}}, \\\"type\\\": \\\"histogram\\\"}], \\\"histogram2d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"histogram2d\\\"}], \\\"histogram2dcontour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"histogram2dcontour\\\"}], \\\"mesh3d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"type\\\": \\\"mesh3d\\\"}], \\\"parcoords\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"parcoords\\\"}], \\\"pie\\\": [{\\\"automargin\\\": true, \\\"type\\\": \\\"pie\\\"}], \\\"scatter\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatter\\\"}], \\\"scatter3d\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatter3d\\\"}], \\\"scattercarpet\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scattercarpet\\\"}], \\\"scattergeo\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scattergeo\\\"}], \\\"scattergl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scattergl\\\"}], \\\"scattermapbox\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scattermapbox\\\"}], \\\"scatterpolar\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatterpolar\\\"}], \\\"scatterpolargl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatterpolargl\\\"}], \\\"scatterternary\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatterternary\\\"}], \\\"surface\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"surface\\\"}], \\\"table\\\": [{\\\"cells\\\": {\\\"fill\\\": {\\\"color\\\": \\\"rgb(237,237,237)\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"header\\\": {\\\"fill\\\": {\\\"color\\\": \\\"rgb(217,217,217)\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"type\\\": \\\"table\\\"}]}, \\\"layout\\\": {\\\"annotationdefaults\\\": {\\\"arrowhead\\\": 0, \\\"arrowwidth\\\": 1}, \\\"coloraxis\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"colorscale\\\": {\\\"diverging\\\": [[0.0, \\\"rgb(103,0,31)\\\"], [0.1, \\\"rgb(178,24,43)\\\"], [0.2, \\\"rgb(214,96,77)\\\"], [0.3, \\\"rgb(244,165,130)\\\"], [0.4, \\\"rgb(253,219,199)\\\"], [0.5, \\\"rgb(247,247,247)\\\"], [0.6, \\\"rgb(209,229,240)\\\"], [0.7, \\\"rgb(146,197,222)\\\"], [0.8, \\\"rgb(67,147,195)\\\"], [0.9, \\\"rgb(33,102,172)\\\"], [1.0, \\\"rgb(5,48,97)\\\"]], \\\"sequential\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"sequentialminus\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]]}, \\\"colorway\\\": [\\\"#1F77B4\\\", \\\"#FF7F0E\\\", \\\"#2CA02C\\\", \\\"#D62728\\\", \\\"#9467BD\\\", \\\"#8C564B\\\", \\\"#E377C2\\\", \\\"#7F7F7F\\\", \\\"#BCBD22\\\", \\\"#17BECF\\\"], \\\"font\\\": {\\\"color\\\": \\\"rgb(36,36,36)\\\"}, \\\"geo\\\": {\\\"bgcolor\\\": \\\"white\\\", \\\"lakecolor\\\": \\\"white\\\", \\\"landcolor\\\": \\\"white\\\", \\\"showlakes\\\": true, \\\"showland\\\": true, \\\"subunitcolor\\\": \\\"white\\\"}, \\\"hoverlabel\\\": {\\\"align\\\": \\\"left\\\"}, \\\"hovermode\\\": \\\"closest\\\", \\\"mapbox\\\": {\\\"style\\\": \\\"light\\\"}, \\\"paper_bgcolor\\\": \\\"white\\\", \\\"plot_bgcolor\\\": \\\"white\\\", \\\"polar\\\": {\\\"angularaxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"radialaxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}}, \\\"scene\\\": {\\\"xaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showbackground\\\": true, \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"yaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showbackground\\\": true, \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"zaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showbackground\\\": true, \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}}, \\\"shapedefaults\\\": {\\\"fillcolor\\\": \\\"black\\\", \\\"line\\\": {\\\"width\\\": 0}, \\\"opacity\\\": 0.3}, \\\"ternary\\\": {\\\"aaxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}, \\\"baxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"caxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}}, \\\"title\\\": {\\\"x\\\": 0.05}, \\\"xaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"yaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}}}, \\\"width\\\": 700, \\\"xaxis\\\": {\\\"anchor\\\": \\\"y\\\", \\\"domain\\\": [0.0, 1.0], \\\"title\\\": {\\\"text\\\": \\\"Number of training examples per label\\\"}}, \\\"yaxis\\\": {\\\"anchor\\\": \\\"x\\\", \\\"domain\\\": [0.0, 1.0], \\\"title\\\": {\\\"text\\\": \\\"F1\\\"}}},                        {\\\"responsive\\\": true}                    ).then(function(){\\n\",\n              \"                            \\n\",\n              \"var gd = document.getElementById('2f875d31-c427-448a-a09b-80a2e0649b70');\\n\",\n              \"var x = new MutationObserver(function (mutations, observer) {{\\n\",\n              \"        var display = window.getComputedStyle(gd).display;\\n\",\n              \"        if (!display || display === 'none') {{\\n\",\n              \"            console.log([gd, 'removed!']);\\n\",\n              \"            Plotly.purge(gd);\\n\",\n              \"            observer.disconnect();\\n\",\n              \"        }}\\n\",\n              \"}});\\n\",\n              \"\\n\",\n              \"// Listen for the removal of the full notebook cells\\n\",\n              \"var notebookContainer = gd.closest('#notebook-container');\\n\",\n              \"if (notebookContainer) {{\\n\",\n              \"    x.observe(notebookContainer, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"// Listen for the clearing of the current output cell\\n\",\n              \"var outputEl = gd.closest('.output');\\n\",\n              \"if (outputEl) {{\\n\",\n              \"    x.observe(outputEl, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"                        })                };                            </script>        </div>\\n\",\n              \"</body>\\n\",\n              \"</html>\"\n            ]\n          },\n          \"metadata\": {},\n          \"output_type\": \"display_data\"\n        }\n      ]\n    }\n  ]\n}"
  },
  {
    "path": "colabs/Random_GO.ipynb",
    "content": "{\n  \"nbformat\": 4,\n  \"nbformat_minor\": 0,\n  \"metadata\": {\n    \"colab\": {\n      \"name\": \"Random_GO.ipynb\",\n      \"provenance\": [],\n      \"collapsed_sections\": [\n        \"55knmU-w4OPK\",\n        \"wgU7aSau4qzg\",\n        \"aaSAa1xr5KXD\",\n        \"H-yqN7iZR4vK\"\n      ],\n      \"machine_shape\": \"hm\"\n    },\n    \"kernelspec\": {\n      \"display_name\": \"Python 3\",\n      \"name\": \"python3\"\n    }\n  },\n  \"cells\": [\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"nHWvlZYR7UAl\"\n      },\n      \"source\": [\n        \"# Setup\\n\",\n        \"\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"55knmU-w4OPK\"\n      },\n      \"source\": [\n        \"## Get files / dependencies\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"r0hWX2veJHpI\",\n        \"outputId\": \"16ef4af3-3675-4d80-895b-a01eafdfb12c\"\n      },\n      \"source\": [\n        \"%tensorflow_version 1\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"`%tensorflow_version` only switches the major version: 1.x or 2.x.\\n\",\n            \"You set: `1`. This will be interpreted as: `1.x`.\\n\",\n            \"\\n\",\n            \"\\n\",\n            \"TensorFlow 1.x selected.\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"2rI1fxA1JuaM\",\n        \"outputId\": \"0cbb609a-5f92-4aa6-d018-86fab83ae2b6\"\n      },\n      \"source\": [\n        \"!python --version\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"Python 3.7.11\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"W3Y3LpXhZSWh\",\n        \"outputId\": \"284ebc04-5152-4670-ac9f-b4aa2c59dc46\"\n      },\n      \"source\": [\n        \"!git clone https://github.com/google-research/proteinfer \\n\",\n        \"\\n\",\n        \"%cd proteinfer\\n\",\n        \"\\n\",\n        \"!pip3 install -qr  requirements.txt\\n\",\n        \"\\n\",\n        \"import pandas as pd\\n\",\n        \"import tensorflow\\n\",\n        \"import inference\\n\",\n        \"import parenthood_lib\\n\",\n        \"import baseline_utils,subprocess\\n\",\n        \"import shlex\\n\",\n        \"import tqdm \\n\",\n        \"import sklearn\\n\",\n        \"import numpy as np\\n\",\n        \"import utils\\n\",\n        \"import colab_evaluation\\n\",\n        \"import plotly.express as px\\n\",\n        \"\\n\",\n        \"from plotnine import ggplot, geom_point, geom_point, geom_line, aes, stat_smooth, facet_wrap, xlim,coord_cartesian,theme_bw,labs,ggsave\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"Cloning into 'proteinfer'...\\n\",\n            \"remote: Enumerating objects: 473, done.\\u001b[K\\n\",\n            \"remote: Counting objects: 100% (196/196), done.\\u001b[K\\n\",\n            \"remote: Compressing objects: 100% (161/161), done.\\u001b[K\\n\",\n            \"remote: Total 473 (delta 91), reused 49 (delta 20), pack-reused 277\\u001b[K\\n\",\n            \"Receiving objects: 100% (473/473), 9.11 MiB | 14.42 MiB/s, done.\\n\",\n            \"Resolving deltas: 100% (230/230), done.\\n\",\n            \"/content/proteinfer\\n\",\n            \"\\u001b[K     |████████████████████████████████| 99 kB 3.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 2.3 MB 14.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 10.8 MB 18.5 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 2.8 MB 52.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 59 kB 4.9 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 89 kB 5.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 56 kB 3.9 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 17.3 MB 23.0 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 10.5 MB 50.1 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 107 kB 70.6 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 13.1 MB 40.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 4.4 MB 52.3 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 226 kB 54.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 6.8 MB 51.5 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 110.5 MB 27 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 411.0 MB 21 kB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 103 kB 57.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 45 kB 2.7 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 328 kB 63.2 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 63 kB 1.4 MB/s \\n\",\n            \"\\u001b[K     |████████████████████████████████| 9.5 MB 43.5 MB/s \\n\",\n            \"\\u001b[?25h  Building wheel for absl-py (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"  Building wheel for gast (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n            \"\\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\\n\",\n            \"lucid 0.3.10 requires umap-learn, which is not installed.\\n\",\n            \"xarray 0.18.2 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"tensorflow-metadata 1.2.0 requires absl-py<0.13,>=0.9, but you have absl-py 0.7.1 which is incompatible.\\n\",\n            \"spacy 2.2.4 requires tqdm<5.0.0,>=4.38.0, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"pyerfa 2.0.0 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"pyarrow 3.0.0 requires numpy>=1.16.6, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"panel 0.12.1 requires tqdm>=4.48.0, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires numpy>=1.18.5, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"kapre 0.3.5 requires tensorflow>=2.0.0, but you have tensorflow 1.15.4 which is incompatible.\\n\",\n            \"jaxlib 0.1.70+cuda110 requires numpy>=1.18, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"jax 0.2.19 requires numpy>=1.18, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires astor~=0.8.1, but you have astor 0.7.1 which is incompatible.\\n\",\n            \"google-colab 1.0.0 requires six~=1.15.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"google-api-python-client 1.12.8 requires six<2dev,>=1.13.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"google-api-core 1.26.3 requires six>=1.13.0, but you have six 1.12.0 which is incompatible.\\n\",\n            \"fbprophet 0.7.1 requires tqdm>=4.36.1, but you have tqdm 4.28.1 which is incompatible.\\n\",\n            \"datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\\n\",\n            \"astropy 4.3.1 requires numpy>=1.17, but you have numpy 1.16.2 which is incompatible.\\n\",\n            \"albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\\u001b[0m\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"n_XWusDibLE-\"\n      },\n      \"source\": [\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/models/zipped_models/noxpd2_cnn_swissprot_go_random_swiss-cnn_for_swissprot_go_random-13731645.tar.gz\\n\",\n        \"!tar xzf noxpd2_cnn_swissprot_go_random_swiss-cnn_for_swissprot_go_random-13731645.tar.gz\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/parenthood.json.gz\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/fasta_files/SWISSPROT_RANDOM_GO/eval_test.fasta\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"wgU7aSau4qzg\"\n      },\n      \"source\": [\n        \"## Load vocabulary and parenthood information\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"gY6_MDLc4jw0\",\n        \"outputId\": \"622a0c32-710c-4700-91f7-3fc56ca9ed4f\"\n      },\n      \"source\": [\n        \"vocab = inference.Inferrer(\\n\",\n        \"    'noxpd2_cnn_swissprot_go_random_swiss-cnn_for_swissprot_go_random-13731645'\\n\",\n        \").get_variable('label_vocab:0').astype(str)\\n\",\n        \"label_normalizer = parenthood_lib.get_applicable_label_dict(\\n\",\n        \"    'parenthood.json.gz')\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"WARNING: Logging before flag parsing goes to stderr.\\n\",\n            \"W0908 10:41:05.693955 139873039775616 deprecation.py:323] From /usr/local/lib/python3.7/dist-packages/tensorflow_core/python/ops/ragged/ragged_tensor.py:1586: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\\n\",\n            \"Instructions for updating:\\n\",\n            \"Use tf.where in 2.0, which has the same broadcast rule as np.where\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"aaSAa1xr5KXD\"\n      },\n      \"source\": [\n        \"## Define a helper function to download inference results\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"SGsml7EVbTO9\"\n      },\n      \"source\": [\n        \"def download_inference_results(run_name):\\n\",\n        \"    file_shard_names = [\\n\",\n        \"        '-{:05d}-of-00064.predictions.gz'.format(i) for i in range(64)\\n\",\n        \"    ]\\n\",\n        \"    subprocess.check_output(\\n\",\n        \"        shlex.split(f'mkdir -p ./inference_results/{run_name}/'))\\n\",\n        \"\\n\",\n        \"    for shard_name in tqdm.tqdm(file_shard_names,\\n\",\n        \"                                position=0,\\n\",\n        \"                                desc=\\\"Downloading\\\"):\\n\",\n        \"        subprocess.check_output(\\n\",\n        \"            shlex.split(\\n\",\n        \"                f'wget https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/swissprot_inference_results/{run_name}/{shard_name} -O ./inference_results/{run_name}/{shard_name}'\\n\",\n        \"            ))\\n\",\n        \"    return\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"H-yqN7iZR4vK\"\n      },\n      \"source\": [\n        \"# Downloading the data and getting it ready for analysis\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"RZtlXNu8gKWd\",\n        \"outputId\": \"15d9dfbe-f24b-418b-c78a-b160e11967e8\"\n      },\n      \"source\": [\n        \"min_decision_threshold = 1e-3\\n\",\n        \"\\n\",\n        \"download_inference_results(f\\\"go_random_test\\\")\\n\",\n        \"\\n\",\n        \"predictions_df = colab_evaluation.get_normalized_inference_results(\\n\",\n        \"    \\\"inference_results/go_random_test\\\",\\n\",\n        \"    vocab,\\n\",\n        \"    label_normalizer,\\n\",\n        \"    min_decision_threshold=min_decision_threshold)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"Downloading: 100%|██████████| 64/64 [04:08<00:00,  3.91s/it]\\n\",\n            \"100%|██████████| 64/64 [15:08<00:00, 14.38s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"bLDLn75zC3Eu\",\n        \"outputId\": \"7a58aa21-770f-4d1c-b52e-5a02aaad45f7\"\n      },\n      \"source\": [\n        \"test_ground_truth = baseline_utils.load_ground_truth('eval_test.fasta')\\n\",\n        \"ground_truth_df = colab_evaluation.make_tidy_df_from_ground_truth(\\n\",\n        \"    test_ground_truth)\\n\",\n        \"del test_ground_truth\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"108578it [00:01, 63382.08it/s]\\n\",\n            \"100%|██████████| 54289/54289 [00:01<00:00, 37184.31it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"UaR0teacxMH8\"\n      },\n      \"source\": [\n        \"# Analysis\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"Z9YIbO0dxMIC\",\n        \"outputId\": \"c37305c0-de04-418c-a76d-cd699cbf232f\"\n      },\n      \"source\": [\n        \"cnn_pr_data = colab_evaluation.get_pr_curve_df(predictions_df, ground_truth_df)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.63s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 424\n        },\n        \"id\": \"mxmaF5PCySFF\",\n        \"outputId\": \"2536e60e-a3ab-4e63-98cd-37d11925aaca\"\n      },\n      \"source\": [\n        \"cnn_pr_data.drop(index=0)\"\n      ],\n      \"execution_count\": null,\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>group</th>\\n\",\n              \"      <th>precision</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>threshold</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.710492</td>\\n\",\n              \"      <td>0.917949</td>\\n\",\n              \"      <td>0.001000</td>\\n\",\n              \"      <td>0.801006</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.711266</td>\\n\",\n              \"      <td>0.917845</td>\\n\",\n              \"      <td>0.001014</td>\\n\",\n              \"      <td>0.801458</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.712026</td>\\n\",\n              \"      <td>0.917743</td>\\n\",\n              \"      <td>0.001030</td>\\n\",\n              \"      <td>0.801901</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>4</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.712716</td>\\n\",\n              \"      <td>0.917642</td>\\n\",\n              \"      <td>0.001045</td>\\n\",\n              \"      <td>0.802300</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>5</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.713583</td>\\n\",\n              \"      <td>0.917541</td>\\n\",\n              \"      <td>0.001063</td>\\n\",\n              \"      <td>0.802810</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>...</th>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1914</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.988057</td>\\n\",\n              \"      <td>0.684312</td>\\n\",\n              \"      <td>1.000000</td>\\n\",\n              \"      <td>0.808600</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1915</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.988178</td>\\n\",\n              \"      <td>0.682954</td>\\n\",\n              \"      <td>1.000000</td>\\n\",\n              \"      <td>0.807692</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1916</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.988711</td>\\n\",\n              \"      <td>0.677492</td>\\n\",\n              \"      <td>1.000000</td>\\n\",\n              \"      <td>0.804036</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1917</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.988837</td>\\n\",\n              \"      <td>0.675964</td>\\n\",\n              \"      <td>1.000000</td>\\n\",\n              \"      <td>0.803001</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1918</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.988992</td>\\n\",\n              \"      <td>0.673939</td>\\n\",\n              \"      <td>1.000000</td>\\n\",\n              \"      <td>0.801621</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"<p>1918 rows × 5 columns</p>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"     group  precision    recall  threshold        f1\\n\",\n              \"1      all   0.710492  0.917949   0.001000  0.801006\\n\",\n              \"2      all   0.711266  0.917845   0.001014  0.801458\\n\",\n              \"3      all   0.712026  0.917743   0.001030  0.801901\\n\",\n              \"4      all   0.712716  0.917642   0.001045  0.802300\\n\",\n              \"5      all   0.713583  0.917541   0.001063  0.802810\\n\",\n              \"...    ...        ...       ...        ...       ...\\n\",\n              \"1914   all   0.988057  0.684312   1.000000  0.808600\\n\",\n              \"1915   all   0.988178  0.682954   1.000000  0.807692\\n\",\n              \"1916   all   0.988711  0.677492   1.000000  0.804036\\n\",\n              \"1917   all   0.988837  0.675964   1.000000  0.803001\\n\",\n              \"1918   all   0.988992  0.673939   1.000000  0.801621\\n\",\n              \"\\n\",\n              \"[1918 rows x 5 columns]\"\n            ]\n          },\n          \"execution_count\": 10,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 468\n        },\n        \"id\": \"2hmFNu1oxMIC\",\n        \"outputId\": \"148d555e-4d9a-4086-bcbc-e2cb192d8f4b\"\n      },\n      \"source\": [\n        \"ggplot(cnn_pr_data.drop(index=0),\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\",\\n\",\n        \"           color=\\\"f1\\\")) + geom_line() + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.5, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"F1 Score\\\")\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8741814874517)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 58\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"40A0Yx1NxMID\"\n      },\n      \"source\": [\n        \"What decision threshold maximises F1 score?\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 144\n        },\n        \"id\": \"R_6fybn3xMID\",\n        \"outputId\": \"5a95f6cb-b738-44aa-fa21-f471c26f7fde\"\n      },\n      \"source\": [\n        \"cnn_pr_data.sort_values('f1', ascending=False)[:3]\\n\"\n      ],\n      \"execution_count\": null,\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>group</th>\\n\",\n              \"      <th>precision</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>threshold</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>633</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.918018</td>\\n\",\n              \"      <td>0.854018</td>\\n\",\n              \"      <td>0.710102</td>\\n\",\n              \"      <td>0.884862</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>632</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.917888</td>\\n\",\n              \"      <td>0.854119</td>\\n\",\n              \"      <td>0.707867</td>\\n\",\n              \"      <td>0.884856</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>635</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.918238</td>\\n\",\n              \"      <td>0.853815</td>\\n\",\n              \"      <td>0.713999</td>\\n\",\n              \"      <td>0.884856</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"    group  precision    recall  threshold        f1\\n\",\n              \"633   all   0.918018  0.854018   0.710102  0.884862\\n\",\n              \"632   all   0.917888  0.854119   0.707867  0.884856\\n\",\n              \"635   all   0.918238  0.853815   0.713999  0.884856\"\n            ]\n          },\n          \"execution_count\": 12,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"9H9UiNZXxMIE\"\n      },\n      \"source\": [\n        \"Now let's have a look at PR curves for each different top level group.\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"G4aq7gtaAQmx\"\n      },\n      \"source\": [\n        \"# Load CNN ensemble predictions\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"EtefjIEV_Qut\",\n        \"outputId\": \"22e3a3ba-53df-4e49-bc63-0db689bcf602\"\n      },\n      \"source\": [\n        \"min_decision_threshold = 1e-3\\n\",\n        \"download_inference_results(f\\\"go_random_test_ens\\\")\\n\",\n        \"ens_predictions_df = colab_evaluation.get_normalized_inference_results(\\n\",\n        \"    \\\"inference_results/go_random_test_ens\\\",\\n\",\n        \"    vocab,\\n\",\n        \"    label_normalizer,\\n\",\n        \"    min_decision_threshold=min_decision_threshold)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"Downloading: 100%|██████████| 64/64 [04:06<00:00,  3.99s/it]\\n\",\n            \"100%|██████████| 64/64 [15:39<00:00, 15.16s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"JLVF_tY8DVZx\",\n        \"outputId\": \"5db12f03-26e2-4d9e-9080-5c3cb27ef14a\"\n      },\n      \"source\": [\n        \"ens_cnn_pr_data = colab_evaluation.get_pr_curve_df(ens_predictions_df,\\n\",\n        \"                                                   ground_truth_df)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:13<00:00, 13.92s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 144\n        },\n        \"id\": \"c9-YYhgeKoPX\",\n        \"outputId\": \"f8c58f51-e36a-4e6a-878d-6efbeb125be4\"\n      },\n      \"source\": [\n        \"ens_cnn_pr_data.sort_values('f1', ascending=False)[0:3]\\n\"\n      ],\n      \"execution_count\": null,\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>group</th>\\n\",\n              \"      <th>precision</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>threshold</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>863</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.919477</td>\\n\",\n              \"      <td>0.880319</td>\\n\",\n              \"      <td>0.376871</td>\\n\",\n              \"      <td>0.899472</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>876</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.920896</td>\\n\",\n              \"      <td>0.879012</td>\\n\",\n              \"      <td>0.387133</td>\\n\",\n              \"      <td>0.899466</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>862</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.919356</td>\\n\",\n              \"      <td>0.880419</td>\\n\",\n              \"      <td>0.375979</td>\\n\",\n              \"      <td>0.899466</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"    group  precision    recall  threshold        f1\\n\",\n              \"863   all   0.919477  0.880319   0.376871  0.899472\\n\",\n              \"876   all   0.920896  0.879012   0.387133  0.899466\\n\",\n              \"862   all   0.919356  0.880419   0.375979  0.899466\"\n            ]\n          },\n          \"execution_count\": 15,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"6NvGPanNwkRy\"\n      },\n      \"source\": [\n        \"cnn_pr_data['method'] = \\\"CNN\\\"\\n\",\n        \"ens_cnn_pr_data['method'] = \\\"CNN Ensemble\\\"\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 533\n        },\n        \"id\": \"BKUHnc3qwsBp\",\n        \"outputId\": \"d87f2ba6-4ad7-443c-a3bd-3ba00b27c4f0\"\n      },\n      \"source\": [\n        \"method_comparison = pd.concat([cnn_pr_data, ens_cnn_pr_data],\\n\",\n        \"                              ignore_index=True)\\n\",\n        \"ggplot(method_comparison.query(\\\"recall<1\\\"),\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\", color=\\\"method\\\",\\n\",\n        \"           linetype=\\\"method\\\")) + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.5, 1), ylim=(0.5, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"Method\\\")\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"/usr/local/lib/python3.7/dist-packages/plotnine/utils.py:1246: FutureWarning:\\n\",\n            \"\\n\",\n            \"is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\\n\",\n            \"\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAtwAAAGuCAYAAACjq9E+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdd5xU1f3/8de908v2vgssS+8dRJQSVEqwoCiiBkUTiaZYMCpqomiC+osNjcYu+tUoYo9GIxhLLIgK2MAufdne2DK7O+X3B7ARWRCWO7OF9/Px4JGde898zplPxtnPnjn3XCMSiUQQEREREZGoMFt7ACIiIiIiHZkKbhERERGRKFLBLSIiIiISRSq4RURERESiSAW3iIiIiEgUqeAWEREREYkiFdwiIiIiIlFkb+0BxEJFRQW1tbWtPQwRERE5AF6vl8TExNYehshB6/AFd0VFBXfddReNjY2WxzZNk6FDh7JmzRrC4bDl8aPB7/c3jbm6urq1h7NflOfYUJ5jR7mODeU5NqKZZ4fDwW9/+1sV3dLuGR39TpP5+fncd999nHTSSaSmprb2cFqd3W4nKSmJ8vJygsFgaw+nw1KeY0N5jh3lOjaU5/8pKSnh2WefZe7cuWRnZ7f2cEQOSoef4d4lNTXV8v9gw+EwBQUFZGZmYprtYzl8JBIhGAySlpaGYRitPZz9ojzHhvIcO8p1bCjPsdEe8ywSa/ovQ0REREQkilRwi4iIiIhEkQpuEREREZEoUsEtIiIiIhJFKrhFRERERKJIBbeIiIiISBSp4BYRERERiSIV3CIiIiIiUaSCW0REREQkitrdnSZfeuklXn/9dTZs2MDhhx/OpZde2tpDEhERERHZq3ZXcCcnJzNz5kw+/vhjtm/f3trDERERERHZp3ZXcI8ZMwaA77//XgW3iIiIiLR5WsMtIiIiIhJF7W6Ge3+UlJRQUlICQHFxMQ0NDQCEw2FL+9kVz+q40RSJRAiHw4TDYQzDaO3h7BflOTaU59hRrmNDeY6N9phnkVjrkAX3M888w/3339/0ePz48QAUFBTsd4wtwTCFoTAmYBpgAAMcNgzgq8Zw0zETKN1WQIrNpCocoSocaTpuGpBmGpiGQXkojGGAiYEBOA1wGQahSITQzva7ntdePmRjraioqLWHcEhQnmNHuY4N5Tk2lGeRveuQBfeMGTOaiuzi4mJeeeUVADIzM/c7xgclFSwvqyQMhCMQJsLEzjmYwJVfbth5PEIYmJoczy8yU3mvuJyni8t3i3Nf71z8NhuXf7Gexkik6fhRSXH8MjONl0sreKywbLfn3NGzC6kOOxd8s4ntwRCmATbDYHS8n3OyUnmvspolRWU7CnQDbBj8oUsmmU4HizYXUhUKYTMM7EBvr5vpaUl8XRvgP+VV2ACTCA7TxrTURFIddpaXVVEdCmE3DGwGpDkcjIz3UdoY5IvaOuwYO+IZBj08LuLsNjYFGmiMhHf2Y+C2maQ67AQjEWpDYWwGO+MZ2Di4PyLC4TBFRUWkp6djmu1jFVQkEiEYDGK329vNH1DKc+wo17GhPMdGtPJ8IJNkIm1duyu4Q6EQoVCo6Su3hoYGTNPEbv/fS0lNTSU1NRWA+Ph4nE4nwAF9EExPT2Z6enKz5x7p3x3Y8SFTUFBARkYKpmlyYnoyx6UlNRXo4Qj4bCamYbCoVy7hSITQznNe08Q0TcYmxdPf7yUcgdDO5yQ5HJimwfk56TTuLOp3HLdhmiY9vG5mZaQ0FfyhSIQEhx3TNBkU52V7MEQICEYipDodO/JjmjhMk2AkQn0oTE0kRBgD0zTZUN9AQX0DwZ1j6OZxcVhiHNsagywtKicUiRCMRAhG4LLcLPo6Hdy/rZjv6uqbctLL6+a6bp34qrqWhRvyd8vXpV2yGB7v468b8/mqJrCzeIfObhdXdM1mU6Cev28pbCrq7YbBSWlJ9Pd7eaG4nPV1ARoC9cSFS0hyOJiVkUJFMMjLJRVNz7EZMDTOR67bxefVtZQ1BnGbJi7TxGsz6el1E4pE2B4M4TZNnDu/eYiWSCSCufP/4/byS3OXXeNuD9pznkG5jhXlOTbaU55FYq3dFdxPPvkkS5YsaXr87rvvMnHiRC666KJWG9OuD0Xbzhnd5qQ4mk91gt1Ogr35c/393maPZ7qcZLqczZ47Ojmh2eM9vG56eN3Nzp78Oie92ecM8nu5s3fXZs/9uVsnQpEdxX6Q/83c9/K6ubVnl51F+o6iP8vlAOCktGQqk0JNBbzbtuODOd5mY0JS/G7PibfbAIizmSTYbVQZBgYGwZ3fEjSEI2ypbyC484+YYCRCZ5eLXLeLj6tr+aCymvpwhEA4jNdmcnefPEoag1z49camsboMgzOzUjkqOYFnisr4eHstbnPHbH2czcbcnHQC4TAvlVTgMg3cponbNOnucZHtclLeGKQxEsFnM/GYZlQLeBEREWm/2l3Bffrpp3P66ae39jAOeaZhYBrgYPci02WaZO/lj4EeXnezxxMddqakJDZ7bmJyQtM3CZmZaU2zJ+lOB5flZjf7nF9kpvKLzNSmx+GdRXqKw86inl0I7CzE68NhsnaOtafXjcMwdh7/3x8QDeEIX9bUEQiHm553QloS2S4nzxSX8VpZVVPbOJvJ/X27EQiH+euGfHymSbzDTpzdxlC/l94+D9vqGwiEwyTY7cTbbdhVpIuIiHR47a7gFjlQu2ae7Yax128GBvm9DGrmG4V4u40/5uU0+5wzM1M5MS2Z2lCI2lCY+l1r9CPQz+ehqjFITThMSV2QTi4nvYFlZZW8UlrZFCPBbuOe3l1pjES4Z2sRiXbbzm89bPT0uslxOQmEw01LbURERKT9UcEt0kJO0yTFNPdYLuS2mcxIT272wqezstI4NSOFisYQlaEgNaEdW38Fdy59KW4I8k1tPZXBID9PTSTH5eTxglKWlVU2La9Jstu5sms2oQj8q7SCBLuNBLuNRLuNNKcDv80W61SIiIjIPqjgFokxt2mS6TLJxNF0zGuz8avs5tfSn5iWxBGJfiobQ5RVVbHtX/9kwxcfU5eUzHs/O5Zqj5ftLjcNNjvTS7YypaGGl1KyWePy7ijGXS6S3C5mZ6YSATYHGkhzOvDadHGTiIhILKjgFmnjkhx2knbOooc9TgJHjiE0bDDhmhrmby8mVFBNuKaG2vo6wjW1bN9eSa7Li+mLZ7vHS43XR77TzcaVb7A9M5uFU2cC4A0FSYmEmUYjoxP8fOX0srW+gV519WS5nfg0Uy4iImIJFdwi7YjpdOIdMOgn23Vm5x3raqoJVlYQqqgg1CmdhIoK/rp2JUUNjZQEw5RiYlv/NVs2fc97Rx7NR4NGUFMbBCC5tpoF6z6iISOTlzO7kObxkJEQT0ZCAtkuJx7NkIuIiOwXFdwiHZRhGNj8cdj8cZDTuel4EtDlR23D9fWcU1HOsd9/h6u2nqLaWqpqaggHaqlY9xlFjSZfeb1UVNVQU7qdk99/nTFVZbw6cCRbE5NJtdtJ93rISUhgVEZqu9s/WEREJJpUcIsIpsuFIy0dWyhMamYm6T+4eUUmMAAINzQQLC2huqSYULduGCV+sspLCGyvosxm51uPH0fwe1Kf/wfFPfqweOI0shrqyTHCpLtcDE/wk5WRQcTrw66bY4iIyCFEBbeI7BfT6cSZlU1y1v/2P5/yg/Ph+nqCpSU0droId0kpJ5TkszUM2+xO1jaE8Dz3JIHN63lo1q8oTM0gpSFAaiRMN7vJtAQfwfRMtnt9pLuc2gJRREQ6FBXcImIJ0+XCmZ2DMzsHH/Dj3cvDhw2jsbSYs4pL2bK9gqK6AMXBEGWV5Wxd/iJfdu3JYyfNxgyHSW6sJ50Ip/lddOvcmS/DYDcNMhwO4u023dVTRETaFRXcIhITptuNK6czvXM60/tH5yKnnELnokKGbN3KlpISttXWUtgYouK9N1hfVcFjZ5zHhswcIoaBGYkw3O1gXo9cvq4NsKy0gkyXk0yXkyyngy5uJ04tWRERkTZEBbeItDrDbseVnUOn7Bw6/eB4+KQTacjfyhVbNlGzdiWFJSWUVFRg1tSwvqqMqv5DCA0YxmfxibzucFEegRu7d6arx8XftxRiAp3cTrKcTrq4naQ5HXsbgoiISNSo4BaRNst0OnF3zcPdNY94IIsd2x0GS4qp37iB+A3fk/3hf2nYtJFQZQWNXj9GTjbFnbuS3nsg+YnJvBtwsK2hkRFxfn7XOYOPqqp5o7yKbJeTHJeTzi4nuR6X1o2LiEjUqOAWkXbFMAwcaek40tLxDR9JMBjEbrcTqqygfuOGHf82rWfE048SLC7CcHtwde+BrWdvakq64s/OJcPpYHOggfcrqyluDHJvn67E22zcsaWQVIedTi4nndw7CnK3lqeIiMhBUsEtIh2CPTEJe2ISvsFDm46Fqqqo+/ZrAt98ReCLtRT8+yXsgQDjs3Pw9umPp29/jN598NntBCMRku12NgUaeK+ymtLGIMenJnJ6ZiofVFWzsa6erh4XuW4XaQ679hoXEZH9poJbRDosW3w8/mEj8A8bAUAkHKZh62bq1q2l7su1FD10D+FAAGfnXLx9+3NS3/54+g3AdDqpDYUJRSIABEJh1tXU8XJpJXXhMIl2G3/v3ZVwBD6tqSXP7SLJoY9TERFpnn5DiMghwzBNXJ1zcXXOJXHyz4mEQtRv3EDdF59T+8VaKt94DYjg7tkbb78BePoPItIll3FJ8YxLiicSiVDcGKSooRHTMMivb+D2TQXURyIk2W1087iZnpZET6+bxnAEh6lZcBERUcEtIocww2bD3a077m7dSZp2AuGGBuq+WEvdF5+z/f33KH3qCUx/HN6+/fH0H4C33wDS0jJI37nbSSe3k8X9urGtvpHv6gJ8H6jHsXOpycINWyltDNLN46Kbx00fn5veXk9rvlwREWklKrhFRHYynU58g4c2rQMPVlVSt+5z6tZ9TvmLz1P88APYk5Px9B+Eb/AwvP0HYno85Lid5LidjPtBrF9mp/FNbT3fBwKsrKpmfV09vbt4WFtdy3/KqkgLNjK4NkA3r1sXZoqIdHAquEVE9sIen0Dc6COIG33Eju0Iiwup+2IdNZ99QuEDdxNpbMDTpx++wUPxDh6GMyOz6bmd3S46u11MJB7YsZ0hgNs0cZoGH9QHeXFDPhHgjl65pDkdfFhVTZ7bRar2CxcR6VBUcIuI7AfDMHCkZ+JIzyR+/EQiwSB1X39JzSerqXx9OSWP/x/O7E74Dzsc37CRODt13m0nk10/d/e6yXM7KSgIkZSezqaGRlIddurDYR7KL6Y8GCLD6aC/z8P4pDgtQxER6QBUcIuItIBht+Ptt2NdN6edSUNBPtUffUDNhyspe+4p7Gnp+IeNxDdiFO7uPTGaWTbiMs2mgtplGPy9d1fy6xtZW1PHupo6yhtDADxTVEZpY5BBfi/9fB7i7baYvlYRETk4KrhFRCzgzMwm+djpJB87ncaSYmrWfETNqg+pWPYy9qRk/CNH4xs+EnePXnuNYRhG03rwSSkJTcezXA42Buq5b2sRteEww+N8XJqbRUM4vKNvrQEXEWnTVHCLiFjMkZpG4jFTSTxmKsGKCqo/WknNRyupWP4Ktrh4/KOPINyzN5GMjP2KNyYhjjEJcYQjETYE6qkO7Si036us5uFtxQz2exke52NYvA+/TbPfIiJtjQpuEZEosicmknj0ZBKPnkyoejvVH62k6p3/Uv/qv9ickop/xGHEHTkOV+fcn4xlGgbdPO6mx6MT/HhtJqurani0oIR784u4r08eXtOkIhjSzXhERNoIfRqLiMSIzR9HwoSjiRs3kfyvvsS3dTM1H6yg4tV/4erWnfjxRxE3+ghMl2u/4rlNk1HxfkbF+wlFImwKNOCz2dgaaOCSbzfR2+tmdIKfkXE+7XwiItKKVHCLiLQCMyGRhN59SDp6Mg3b8qn67xuUPv0EpUseI+7I8ST87Gic2Tn7Hc9mGOR5dhTq2S4HC7t3YkVlNa+UVPDIthKuzsuhn89DQzisNd8iIjGmgltEpJU5s7JJPfUMkk88hZqPVlL5+jI2LX8FT78BJE6ainfQ0GZ3OdkbwzDo7nHT3ePmjIwUNgYayHE5aQiH+d1XG+nhdXFUUgJD4rzYDN1+XkQk2lRwi4i0EabTSdyYscSNGUv9xg1UvPZvCu5chD0lhYSJxxB3xHhsfv8BxTQMg647Z77DEbiwcwZvVWxn0eYCvDaT83LSGRrni8bLERGRnQ6Jgtvv92O325vu9GaVSCTSFNfq2NGya5ztZbygPMeK8hw7+5NrZ5dc0s/5Ncknz2L7W69TsewVSp9eQtwR40icehyO9P3b4eSHDKCfz0M/n4ezMlNYUVlDltNBJBLhsYIS8jwuRsX5cZh7znq3x1zrPR0b0cqz3X5IlChyiDAi7em/6hbIz8/niy++YNy4ca09FBGRFouEw9R9uoaqf/+L+u+/xTviMBKmHotzP3Y3+SnhSIRHi8p5t6oam2EwNt7HMUnxpGmXE2llCxcuZO7cuWRnZ7f2UEQOyiHxabpmzRoGDhxIWlqapXHD4TClpaWkpKRgtpOLkCKRCKFQCJvNttttp9sy5Tk2lOfYaWmuHSMOI274KAJff0n5v15g23V/xDtoCInTTsDTq89BjemXOemckZXK+5XVLC+rIs/bSJbHTXljkMSdd7Zsb7nWezo2opXn4uJiy2KJtLZDouCurq4mGAxa/uFlGEZT3PbywbhLexqz8hwbynPsHEyuDcPA26cf3j79qN+4nvJ/vUD+jdfh7tmLpGnT8Q4a0uJceGw2fpacwISkeCJABPjj91tIctiZmpLAcK8bezvKtd7TsRGtPAeDQctiibS2Q6LgFhHpiFy5eWT+5iIaCrZR8cqLbPvbLTizckiadgL+kYdhtPCuk4ZhsKtsuqZbJ/5dWsGD+cU8bpqcm53O0HhdZCkiciDax3dsIiKyV87MLNLPnkvXm+7A238ARYvvZdMV86h88z9EQqGDip3hdHBWVhp39splSlI8qTvXda+srKZ25y3mRURk3zTDLSLSQdiTkkmdNZukY6dT+dqrlC59nMplr5By2mx8AwcfVGyvzcbU5HjsdjuBUJh/FJRQFw5zYloyxyQnNLuziYiI7KAZbhGRDsbmjyN5+snk/nURnn4D2Hbb/yP/1htpyN9qSXy3zeTWnrnMSE/m+eJyLv5mI5sD9ZbEFhHpiFRwi4h0UDZ/HGm/mEOXv9wEwKY/XkrxYw8Tqq4+6Nh202BKSiK398plUnICGU4HoUiEtdW1Bx1bRKSjUcEtItLBObNzyJ43n6yLLqN23WdsvPwiKt963ZKblHhsJsenJeE0Tb6tC7BwQz4L129lY51mvEVEdlHBLSJyiPANGkKX6/4fycefSMk/HiH/5utpLC2xLH5vr4ebe3bBbTOZ/91m7tlSSGO4Q99bTURkv6jgFhE5hBh2O4mTp9HlL/+PSDDIpqsupertNy27JXe2y8klXbK4Oi+HOLsNh2kQCIUJdeybGouI7JN2KREROQQ50jPJufxPVP7nVYofeZCaNatIO+uX2BMSLYnf1+ehr88DwJLCUtbV1HFuTjo9vW5L4ouItCea4RYROUQZpkniMVPpfO0NBMvL2PTHS6n5eLXl/ZyUnkw3j4trvt/CU4WlBDXbLSKHGBXcIiKHOGdOJzr98ToSJk5i2+03UbLksYO+Yc4PxdttnNcpg0u6ZLG8rIrlZZWWxRYRaQ+0pERERDBsNlJOPAVP774U3n0HgfXfkfXbi7HFx1vWx/B4H3/1dsZn2ghHInxQVcNh8T4MQzfNEZGOTTPcIiLSxNtvAJ2vu5FIQwObr72S+o3rLY2faLfjMA021zdw99ZCbt60jaqgdbPpIiJtkQpuERHZjT0pmZwrrsHTpx9bFl7D9vfftbyPXLeLG7t3pqwxxPxvN/NdXcDyPkRE2goV3CIisgfT6ST9V+eTcvIsCu+7i9KljxMJhy3tI8vl5LpunRgc5+WF4nJLY4uItCVawy0iIs0yDIPEST/H2akLBX9fRGDTBjLPvwC7P86yPhymwdzsNII7Ny75oLKaYfE+7FrXLSIdiGa4RURkn7z9BtDp6oWEKivYet2fqN+62dL4hmHgMA2qgiEe3FbM9Rvyta5bRDoUFdwiIvKTHGnpZM6/GmduLlv+/CeqV31oeR/xdhvXd+9MIBzmyu82s17rukWkg1DBLSIi+8V0uck4/0KSjp1OwV23UfmfZZb3keKwsyAvh34+Dw/kF1t2y3kRkdakNdwiIrLfDMMg+djpOFJSKXzgbkI11SQdd6Kle2k7TZPzc9IJhCMYhkFJQyOpTodl8UVEYk0z3CIicsDiDj+SrN9fQvmLz1HyxP9ZPhNtGAYem0lJQyMXf7OJf5dWWBpfRCSWVHCLiEiL+IYMI/sPV7L97TcpfuRBy7cNBEh1Ojg/J51HC0q0daCItFsquEVEpMU8vfuSfekfqf5gBcX/92BU1lyPSYxjXucslhaWsqy00vL4IiLRpoJbREQOirtbd7L/cCXVK9+j5LGHo1J0D4/38fvOmXT3uiyPLSISbSq4RUTkoLm7dSfrkiuoevctSp96Iip9jE7w093jZnOgng+qqqPSh4hINLSJXUqqq6u56667WL16NR6PhxNPPJETTjih2bZvvPEGS5cupbS0lG7duvG73/2OTp06xXjEIiLyY54evci68FK23XIjNq+PpGOb/xw/WF/VBlicX8y8LlkMj/dFpQ8RESu1iRnue++9l8bGRhYvXsyCBQt4+umnWbVq1R7t1q1bx/33388f/vAHnnjiCQYNGsTChQsJhXRHMhGRtsDbtz+Zv72I0mefZPuKd6LSx9HJCczMSGHR5gLW1dRFpQ8RESu1esEdCAR49913mT17Nl6vl65duzJp0iSWL1++R9uVK1cyZswYunfvjs1m49RTT6WwsJC1a9e2wshFRKQ5vqHDST39TIoevJfA999GpY8T0pKYlJzALZu2UaNJFxFp41q94N66dSuRSITc3NymY3l5eWzatGmPtj++EGfX4w0bNkR1jCIicmASjppM3JHj2bboJhqLCqPSxxmZKVyWm4XPZotKfBERq7T6Gu5AIIDX693tmM/no65uz68Jhw8fzo033sikSZPIy8vjySefJBQKUV9fv1u7kpISSkpKACguLqahoQGAsMV7xO6KZ3XcaIpEIoTDYcLhsKV3hosm5Tk2lOfYOVRynXL6mTSWFpN/+03kXHktpsdj+bh6ul1UNDSytKiMX2Sm4Db/N490qOS5tbXHPIvEWqsX3G63e4/iura2Fk8zH8yDBw/mrLPO4rbbbqOqqoqJEyfSuXNnUlNTd2v3zDPPcP/99zc9Hj9+PAAFBQVReAVQVFQUlbiyO+U5NpTn2Dkkcn3iTIJ3387mO2/FecbZGKb1X6zWhCN8WhXg1ppa5vidmD8qVA+JPLcByrPI3rV6wZ2TkwPApk2b6NKlCwDr169v+vnHpkyZwpQpU4Adu5u8+uqr9OzZc7c2M2bMaCqyi4uLeeWVVwDIzMy0dOzhcJiioiLS09Mxo/BLJBoikQjBYBC73d6uZk+U5+hTnmPnUMt147zL2fqXq3G++xYpp5wWlfFdkdLANRvy+Y/hZHZmCnDo5bm1RCvP0ZokE2kNrV5wu91ujjjiCB599FEuvvhiiouLWbZsGRdeeOEebRsbG9myZQu5ublUVlZyzz33cPjhh++xLWBqamrTrHd8fDxOpxMgah+4pmm2qw/zXeNtLx/muyjPsaE8x86hkmtXVg6Zv72Y/FtuwN01j7jDxlg+vhyPm0u6ZPGXDVsZEe+jv/9/SxUPlTy3tvaUZ5FYa/WCG+DXv/41d955J3PmzMHj8TBjxgyGDx8OwMyZM7nmmmvo378/jY2NLFq0iG3btuF0Ohk7dixz5sxp3cGLiMhP8vYbQMrJsyhafD+u3K44M7Mt76Ovz8P13TrTxe20PLaIyMFoEwW33+9n/vz5zZ5bunRp089er5fbb789VsMSERELJU45lsDXX1Jw1+10vvovGA6H5X3kelwEQmFeLavg58nxlscXEWkJffcjIiIxYRgG6b88n1BVJeUv/zNq/QTCYV4qKeeFkoqo9SEiciBUcIuISMzY/H7SzphD2YvP0ZC/NSp9JDrsnJuTznPF5WwO6qY4ItL6VHCLiEhM+UYehnfAYIoevo9IlPZuHhXvZ0yCn8erG2jQ/tAi0spUcIuISEwZhkHa7LOp37SRqrdej1o/Z2amMNipu1CKSOtTwS0iIjHnSEkl5eRZlC79B8GK8qj04bPZmOJ1YjcMyhqDUelDRGR/qOAWEZFWkTBxEo7MLEqXPh7Vfl4pq+S69Vu1tEREWo0KbhERaRWGaZL2i7PZvuId6r7+Mmr9/CwxnkA4zL+0a4mItBIV3CIi0mrc3XsSP3YCxY8+RCQUnR1FvDaT0zNSeL64nJKGxqj0ISKyLyq4RUSkVaWcfBrBslIqX18WtT6OTIyji9vFfyu2R60PEZG9UcEtIiKtyhYfT8qMWZQ9u5RgRXSWfZiGweVdszgxLSkq8UVE9kUFt4iItLr4CUfhSM+k9KnoXUDpt9moC0d4rqiMYCQStX5ERH5MBbeIiLQ6wzRJO/Mctr/3dlQvoAxFIrxUWsGy0sqo9SEi8mMquEVEpE3YcQHlz6J6AWWc3cap6Sk8U1TGdt32XURiRAW3iIi0GSmnzIr6BZRHJceT4LDxXHFZ1PoQEfkhFdwiItJm2OJ+cAFlZXQuoLQZBr/ITMVh6FegiMSGPm1ERKRNiZ9wFI6M6N6Bclicj9MyU6IWX0Tkh1Rwi4hIm2KYJmmzz476BZS1oTB/Wb+VQt0MR0SiTAW3iIi0ObvuQFnyj4eJhMNR6cNjGtSHI/yzuDwq8UVEdlHBLSIibVLySafSULCN6vffjUp8wzA4OT2ZN8qrKKhviEofIiKggltERNooe2IiiZN+TtkLzxAJBqPSx+A4L909bl7WvtwiEkUquEVEpM1KnDKNUFUV29/9b9T6ODUjmf4+T9Tii4io4BYRkTbL5vOTOGUaZS8+F7Wb4bfTSscAACAASURBVAzwezkswU9Et3sXkShRwS0iIm1awtFTCFVXU/3Biqj18V1tgMu/20xjWEW3iFhPBbeIiLRpNp+PhAlHUf7yP6M2C53jdlLaGOTdyu1RiS8ihzYV3CIi0uYlTv45Dflbqf3s46jEd5smxyQn8FJJhZaWHOIWLFiAYRjk5OQQbmZLyiOOOALDMJgzZ84Bx33vvff2OG4YBjfffHNLh/uTFi1ahGEYUYsv+0cFt4iItHn2pGTijxhH+b/+GbU+JicnUNDQwCfVtVHrQ9oHh8NBSUkJ//3v7hfrbty4kRUrVuD3+w845rXXXttswS2HBhXcIiLSLiROPY7A118S+PabqMRPctg5NzudTKcjKvGl/XA6nUydOpUnnnhit+NLliyhf//+dO/evZVGJu2VCm4REWkXnFnZ+IaNoPzl6M1yj0+KJ9PlJKxlJYe80047jaeffprGxsamY48//jinn376Hm2/+OILTjjhBBISEvD5fEybNo3vvvuu6fyuJR2XXnophmFgGAZvvvlm0/lwOMyCBQvIyMggNTWVs88+m5qamt36+Oyzz5g8eTI+n4+EhAROPvlkNm3atFubqqoqzjzzTOLi4khLS+Oyyy4jGKU97OXA2Ft7ALHg9/ux2+2Wr8uLRCJNcdvLmr9d42wv4wXlOVaU59hRrlsucerxbF14NfVbt+DMztln25bm+amiMrYHQ5yTnXawwz1gbSXPByJa72e7vXVLlOOOO45f/vKXLFu2jGnTprFu3To+/fRTnn/+eZ588smmdt9//z1jxoxhwIABPPzww5imycKFCznqqKP46quvcLlcrFixgsMPP5zf//73TQV7v379mmLceeedjB07lkceeYSvv/6aSy+9lIyMDG688UYANm/ezLhx4+jevTuPPfYYgUCAq666ivHjx/Ppp58SFxcHwDnnnMOrr77KjTfeSF5eHn//+995/PHHY5g12ZtDouAeOnQoSUlJUfkrLykpiXA43OyFFW1ZKEr72UaL8hwbynPsKNctY8/tiqtXH8pe/iepc879yfYtyXO23cYDJRXMTE3AbbbOF8GtnecDFY33c1JSkmWxWsLr9XLCCSewZMkSpk2bxhNPPMHhhx9OXl7ebu2uvfZakpOTWb58OW63G4AxY8bQrVs3HnzwQX7zm98wevRoALp06dL08w9lZWXxj3/8A4ApU6awevVqnn766aaC+7bbbqOxsZFly5aRnJwM7Kht+vXrx8MPP8zvf/971q1bx7PPPssDDzzAOeecA8DkyZPp2bNndBIkB+SQKLjXrFnDwIEDSUuzdrYiHA5TWlpKSkoKZit9KB+oSCRCKBTCZrO1m6uWlefYUJ5jR7k+OMnTjmfb7TeTetJM7Mkpe23X0jyPSoznkaIyPqwJ8LOkeCuGvN/aUp73V7Tez8XFxZbFaqnTTjuN008/nbq6OpYsWcIFF1ywR5tly5Yxa9Ys7HZ708ReUlISQ4cO5cMPP9yvfo455pjdHvfr148lS5Y0PX777beZOHFiU7EN0KdPHwYPHsw777zD73//ez788EMikQgnnnhiUxubzcb06dO57bbbDuh1i/UOiYK7urqaYDBo+YeXYRhNcdvLB+Mu7WnMynNsKM+xo1wfHO/AITizO1G5/BVSZ83ea7uW5tlpMxiXGM8b5VVMTE6wYsgHrC3keX9F6/3cFtYeT548GYfDwdVXX8369euZOXPmHm1KSkpYtGgRixYt2uOc0+ncr34SExP3eF59fX3T4/LycoYMGbLH8zIyMigrKwNg27ZtOByOPb4ZyMjI2K8xSHQdEgW3iIh0HIZhkDTteIoevp+k42dg83ot7+Po5HiyXA4ikUi7KXzFeg6HgxkzZnDrrbdy1FFHNVu8JicnM23aNH7zm9/scW7X2uqDlZycTFFR0R7HCwsL6dWrF7BjWUpjYyPl5eW7Fd2FhYWWjEEOjgpuERFpd/wjDqN06T/Y/vYbJE6eZnn8LJeTLNf+zU5Kx/arX/2KoqIizj23+WsGjj76aD7//HOGDh2KzWbbaxyHw0EgEGjRGI488kjuu+++3Yrpr776ik8//bRpvfbIkSMBeO6555qOhUIhnn/++Rb1KdZSwS0iIu2OYbcTP3ESFa+9SsIxUzGisBZ+Y6Cee7cWcV23Ttg1y33IGjVq1D6L1muvvZaRI0cyefJk5s6dS0ZGBgUFBbz11luMHTuW0047DYC+ffvywgsvMHbsWHw+H717997vGfCLL76YxYsXM2nSJK666ioCgQB//OMf6dKlS9MdL/v168eJJ57IRRddRCAQoGvXrvz973+noaHhoHMgB699XK0jIiLyIwkTjiJUUU7Nx6ujEj/N4WBzoIG1uvOk7EOPHj344IMPSElJ4Te/+Q2TJ09m/vz51NTUMGjQoKZ2d911F+FwmKlTpzJy5EhWrVq133107tyZt956i6SkJM444wzmzp3L4MGDefPNN3cr2h966CGOP/54LrvsMs4880x69+7NRRddZOnrlZYxIu1ps88WyM/P57777mPu3LlkZ2dbGjscDlNQUEBmZma72mkgGAxit9vbzbpE5Tk2lOfYUa6tU/jgPYQqK8med/ke56zI880bt+G3mZzXKTYXnrXVPO9LtN7P0fz9LRJr7eOTXkREpBnxYydQ+9nHBMvLohJ/dIKfD7fXEOzYc1MiEmUquEVEpN1y9+yNIz2D7e++HZX4w+N8HBbvpy7Uvm5QJCJtiwpuERFptwzDIH7sz6h6+42o3A7dYzOZm5NOnH3vu0+IiPwU7VIiIiLtWtyR4yh9bil1X6zF22+A5fFLG4MsLSzl3Ox07Gb7WFctB+5ALmI8EMOHD49KXGlfNMMtIiLtmj0xCd+QYWx/+82oxPeaJu9VVvNZjXYrEZGW0Qy3iIi0e3FHjKfwnr+RVleH6fFYGttjMxka5+X9ymqGxvksjS1tz647N1rh66+/tiyWtG+a4RYRkXbPN2gIhtNJ9eoPoxJ/dIKfj6pqCIa1W4mIHDgV3CIi0u4Zdjv+UaPZvuKdqMQf5veR6XJQ0hiMSnwR6dhUcIuISIcQd/iR1K39jGBFueWx3TaThd07k+lyWB5bRDo+FdwiItIhuHv0wpGWzvb3ojPLXRcK80ppBY1aViIWeeqppxg9ejR+v5/09HQmTJjAiy++yJtvvolhGMyePXu39rNmzWLBggVNjw3DoHv37jQ2NjYdu+eee5gwYUKMXoHsLxXcIiLSIRiGQdyRE6h6582o7MltGPBEQSmfVmu3Ejl4t99+O+effz7z5s1j27ZtbNu2jT/96U88//zzAHi9Xp599lnWrl27zzgVFRU88MADsRiyHAQV3CIi0mHEHTGWxm351G/43vLYbtNkSJyXD6qqLY8th5aqqiquuuoq7rrrLmbOnElcXBw2m42jjjqKBx98EIC4uDjOO+88rrrqqn3Gmj9/Pn/+85+pq6uLxdClhVRwi4hIh+FIScXdqw/V778XlfjD4nx8Ul1LOAoz6HLoeO+99wgEApx00kn7bHfllVfyxhtvsHLlyr22Oe6448jLy+OOO+6wephiIe3DLSIiHUrcYWMoe/E5kk45zfLYg/1eHswvpqihkUyX0/L40noS/nYTAIVWxgR4eMkex0tLS0lNTcXh2PdFuCkpKVxyySVcccUVvP7663ttd8MNNzB9+nR+/etfH+SIJVo0wy0iIh2Kf+RhhKoqCXzzleWxkxx2Huibp2JbDkpKSgolJSW7Xey4N/PmzePzzz9n+fLle20zbtw4Ro8ezU033WTlMMVCKrhFRKRDscXF4+0/kOqV0VlW4jAMNgXqoxJbDg1jxozB7Xbz3HPP/WRbv9/PVVddxZVXXrnPdtdffz133HEHhYVWztGLVbSkREREOhz/YWMoeeL/cB01xfLY39QGWLB+K/f3zcNvs1keX1pH5e8vBWJza/f4+HgWLlzI7373O0zTZMqUKXg8Ht555x0ee+wxzjjjjN3an3/++dx2222sX7+ePn36NBtzyJAhHHvssfztb39jwIABlr0GsYZmuEVEpMPxDRlGuLaW8KaNlsfu4XXjtZnaHlAOyoUXXsidd97JzTffTEZGBllZWSxYsIDp06fv0dbpdLJgwQJKS0v3GfPPf/4zlZWV0RqyHATNcIuISIdj8/lx9+pD8Mu1cPgYa2MbBoP8Xj7eXsuYhDhLY8uhZebMmcycObPZcwUFBbs9njNnDnPmzNnt2I/3m+/Ro8d+rQuX2NMMt4iIdEjewUMJfbHvm4a01FC/l0+2a3tAEdk/KrhFRKRD8g4aSqSkiMYi6y8iGxbvY16XTMvjikjH1CaWlFRXV3PXXXexevVqPB4PJ554IieccEKzbd955x2eeOIJSkpKSExMZMaMGUyaNCnGIxYRkbbOkZmFkZxC7SdrcGVmWRrbb7PR2+eJyi3kRaTjaRMz3Pfeey+NjY0sXryYBQsW8PTTT7Nq1ao92hUXF3Prrbdy1llnsWTJEi6++GIeeOABvvvuu1YYtYiItGWGYWDr04/aT9dEJf4b5VVcvyE/KrFFpGNp9YI7EAjw7rvvMnv2bLxeL127dmXSpEnNbvBeXFyMz+dj1KhRGIZBnz596NSpE5s2bWqFkYuISFtn692Puq++IFxXZ3nsDKeDdTV11IbClscWkY6l1ZeUbN26lUgkQm5ubtOxvLw8VqxYsUfb3r17k5OTw4oVKzjssMP48ssvKSwspH///rEcsoiItBNmXncMm53adZ/hHz7K0ti9PG4cpsG6mlpGxPstjS2tZ297Z4scjFYvuAOBAF6vd7djPp+PumZmI2w2GxMnTmTRokXU19djGAbnn38+6enpu7UrKSmhpKQE2DEr3tDQAEA4bO0sxK54VseNpkgkQjgcJhwOYxhGaw9nvyjPsaE8x45yHRvhcBjDbsczYCA1a1bjHTrC0vgm0M/r4ZPttQzze3+y/f5or3n+4f+2V8OHD2/tIUgH1uoFt9vt3qO4rq2txePx7NF2zZo1LF68mGuvvZZevXqxZcsWrrvuOpKSkhg5cmRTu2eeeYb777+/6fH48eOBPfe0tEpRUVFU4srulOfYUJ5jR7mOjWDX7tS++i+C+fkYprUrKYcSpLYhGLXfL+2J3s8ie3fQBXd+fj5btmwhEAjscW7cuHE/+fycnBwANm3aRJcuXQBYv359088/tGHDBvr27dt0W9MuXbowYsQIVq1atVvBPWPGjKYiu7i4mFdeeQWAzExrt3AKh8MUFRWRnp6OafGHeLREIhGCwSB2u71dzZ4oz9GnPMeOch0bu/KcccRYNj/7JEmBWtzdeljah9UbA7bnPFv9ftYfMdKRtLjg/v7775k9ezbvv/8+sOfdjgzDIBQK/WQct9vNEUccwaOPPsrFF19McXExy5Yt48ILL9yjbc+ePXnqqaf45ptv6NmzJ1u2bOGjjz7ilFNO2a1damoqqampAMTHx+N0OgGi9ovNNM129Utz13jby4f5LspzbCjPsaNcx4YjMQlXtx7UfbIGb49elsd/uaSCdKfdknXc7TnP7en93JzmdkezgpaqCBxEwX3uueeyZcsWHnroIfr169dU1LbEr3/9a+68807mzJmDx+NhxowZTW/QmTNncs0119C/f38GDBjA7NmzueWWWygvL8fn8zFhwgSOOeaYFvctIiIdn2/QEGo+XkXKjFMtj70pUM+3dQFdOCkie9XigvuDDz7gkUce4aSTTjroQfj9fubPn9/suaVLl+72eOrUqUydOvWg+xQRkUOHd+AQyp5/mlBVFbb4eEtj9/V5WFJYSiQSaXez0rKnXr2s+xZEO57ILi3+7icnJwebzWblWERERKLC1TUP0+endu2nlsfu6/NQHgxR2NBoeWwR6RhaXHAvXLiQG2+8kbKyMivHIyIiYjnDNPEOGEjtZ59YHjvNYaer20VxY9Dy2CLSMbR4ScnDDz/Mli1b6Nq1K0OGDCExMXG384Zh8MILLxz0AEVERKzgHTCY0qWPEwmHLd0e0DAMbuzR2bJ4Im3Fww8/zD333NO0QcaPzZkzh8zMTG688cYDjn3PPfewZMkS3nzzzYMcZfvQ4k+c6upqevTowfDhw7HZbGzfvn23f1VVVVaOU0RE5KB4BwwiVFVJw+aNlseuD4f5ZHut5XGl45owYQJutxu/39/0Tzua/E9jYyMLFy6kT58++Hw+OnfuzMyZM/nss88AWLBgAYZh8OCDD+72vMzMzKYi/s0338QwDGbPnr1bm1mzZrFgwYJYvIwmLZ7hfuONN6wch4iISFTZE5Nwds6l9rNPceXmWRq7tDHIDRvz+VuvXNKcDktjS8e1aNEizjvvvNYeRpt06qmn8t1337F48WJGjBhBQ0MDzzzzDC+99BIDBw4EIDk5meuuu45f/OIXuFyuZuN4vV6effZZ5s+fT//+/WP5EnbTfjfMFBEROUDegYOp+exjy+NmOR0k2G18UVP3041FfsKGDRswDINHH32UvLw8kpKSuPjii5vOf//990ycOJGEhARSUlJ2u9FgQUEBp556KhkZGXTu3JkFCxYQDoeBHUtERo8ezfz580lOTqZTp0689NJLvPrqq/Tu3ZvExET+8Ic/7DGeefPmkZiYSPfu3ffYPe6HXn31VUaMGEFiYiLDhg3j7bffbjq3adMmjjrqKOLi4jjiiCPYuHHv3zS9/vrrvPzyy/zzn//k8MMPx+Fw4PP5OPPMM7niiiua2h199NGkp6dz99137zVWXFwc5513HlddddVe28TCQRXca9as4ZRTTiErKwuXy0VWVhYzZ85kzZo1Vo1PRETEMt6Bgwl8+zXhOmsLY8Mw6Ov1sE4Ft1jotdde4/PPP2fVqlUsXryY119/HYCrrrqKXr16UVJSQkFBAQsXLgR23PXz+OOPp0ePHmzcuJGVK1fywgsv7LbsYtWqVeTm5lJUVMTll1/O2WefzeLFi/nggw9YvXo19913H++9915T+48++ojU1FSKi4u5++67Oeuss/jmm2/2GOsnn3zC6aefzqJFiygrK+O6665j+vTplJSUAHDaaafRu3dviouLueOOO/ZYCvJDy5YtY9SoUeTm5u4zP4ZhcP3113P99ddTXV2913ZXXnklb7zxBitXrtxnvGhq8ZKSt99+m2OOOYbMzExOO+00MjIyKCws5LnnnmPMmDEsX76cI4880sqxioiIHBRPz94Ydju1X6zFP2yEpbH7+Ty8XFphaUyJnZtcCTt+2FhoXVBXAkv2cXrevHm73YfkhBNO4JFHHml6fO211+Lz+ejWrRvjxo1j9erVTJw4EafTybZt29i4cSM9evRg7NixwI7iePPmzfzlL3/BMAyys7OZN28eixcv5txzzwV2bOt8/vnnA3DGGWdwwQUXcNFFF5GQkEBCQgKjR49m9erVjBkzBtixbGP+/PmYpsmkSZOYMmUKTz75JH/84x93ey333nsvv/rVr5pqv2OPPZYhQ4bw8ssvM2HCBFasWMHLL7+M2+1m+PDhnHHGGXudoC0tLSU7O3u/UnzMMccwYMAAbr31Vq6++upm26SkpHDJJZdwxRVXNP3REmstnuGeP38+EyZM4Ntvv+XWW2/l8ssv59Zbb+Xbb79l/Pjxe72RjYiISGsx7Ha8/QZQ+7n12wOOTvBzaW6W5XGl47r11lupqKho+vfDYht2XAC4i9frbZrFvemmm8jOzuZnP/sZ3bp1a9olZMOGDRQXF5OUlERiYiKJiYn89re/pbCwcK8x99UP7CjQzR/s6pObm8vWrVv3eC0bNmzgb3/7W1O/iYmJvP/+++Tn55Ofn99U0P8wzt6kpKSQn5+/1/M/dsMNN3DLLbdQWlq61zbz5s3j888/Z/ny5fsd10otLrjXrFnDBRdcgN2++yS5zWbjggsuYPXq1Qc9OBEREat5+g+ibu1nlseNt9vIcTmJRCKWxxb5oV3rljdv3syzzz7LTTfdxH/+8x+6dOlCp06ddiviq6qqWLt2bYv72rp1a9MacNixFjsnJ2ePdl26dOGyyy7bre+amhrmz59PdnY2lZWVu+1gt2nTpr32OWnSJD744IN9tvmhww47jIkTJ3LDDTfstY3f7+eqq67iyiuv3K+YVmvxkhKfz0dRUVGz5woLC/H5fC0elIiISLR4evel5LHFBCsqsP/oHhIH62+bC+jkcnJierKlcSX6Lq2vBNrHrd2XLl3K4YcfTufOnUlMTMRms2Gz2Rg5ciRpaWn8+c9/Zt68eXg8Hr777jvy8/MZP358i/oqKyvjr3/9K5dccglvvfUWr7zySrOF7dy5czn22GM5+uijGTNmDPX19bz//vv07NmTLl26MHr0aK688kpuueUW1q1bxz/+8Q/69u3bbJ8TJ05k6tSpTJ8+nbvvvpthw4bR2NjIc889x+bNm5tdRbFw4UJGjRq1zz94zz//fG677TbWr19Pnz59WpSPlmrxDPdxxx3H5Zdfzmuvvbbb8ddee40rrriC448//qAHJyIiYjVnTidMn4/A119aHjvObuPbuoDlcaVjuuiii3bbh/uHSzv2ZdWqVRx++OH4fD7GjRvHRRddxIQJE7DZbLz44ot888039OzZk6SkJGbOnMm2bdtaPMYRI0ZQVFREWloac+fO5aGHHqJ37957tBs2bBiPPPIIl156KSkpKeTm5nLLLbc0zY4//vjjrF27ltTUVH73u99xzjnn7LPfpUuXctJJJ3HmmWeSmJhIr169ePHFFznuuOOabd+vXz9OPvlkamv3vh++0+lkwYIF+1x6Ei1GpIXffZWXlzNlyhQ++ugj4uPjSU9Pp6ioiKqqKkaOHMkrr7xCUlKS1eM9YPn5+dx3333MnTt3vxfg769wOExBQQGZmZm7rW9qyyKRCMFgELvdjmEYrT2c/aI8x4byHDvKdWzsK8/5i27CkZpG2i/mWNrn2xXbebyghLv7tGyf746W54MRzd/fzVm1ahVg/Qy3bmYjcBBLSpKSklixYgUvvfQS77zzDuXl5SQnJ3PkkUcybdq0dvNLREREDj2e3n3Y/t47lsfNc7soD4aoaAyS6Gjxr1gR6WAO6tPANE2OP/54LR8REZF2xdOrD6VLHydUU4PNwmuOsl0OjkqKJ6gLJ0XkBw6o4C4rKyMxMRHTNCkrK/vJ9snJumhERETaHlduHobDSeCbr/ANGWZZXNMwODcn3bJ4ItIxHFDBnZaWxooVKxg1ahSpqak/ub4sFAod1OBERESiwbDbcffoSd3XX1hacAN8XVvHpkADRycn/HRjETkkHFDB/dBDD9G9e/emn9vLBR0iIiI/5unVh9rPP7U8bn59I88Xl6vgFpEmB1Rwn3XWWU0/z5kzx+qxiIiIxIy7R0/KX3qBSDCIYbfuAsc8j4uSxiBVwRDxdptlcSU2orV3thzaLL2E+t133+WLL75g7Nixze7RKCIi0la48noQCTZSv2kj7m7dLYub43LiMAw2BOoZ5PdaFleiS9v3STS1eO++008/nbPPPrvp8T333MPYsWOZO3cuQ4YM4T//+Y8lAxQREYkGm8+HM6cTgW+svQGO3TDo4nayrb7B0rgi0n61uOB+5513mDp1atPjG264gV/96ldUVVVx8sknc+2111oyQBERkWhx9+5L3VfW33Hy2rxOTE6x9rbxItJ+tbjgLi4uJisrC4C1a9eyefNmLrzwQvx+P2eddRafffaZZYMUERGJBk+vvtR98yUtvOnyXtkMKGlotDSmiLRfLS64U1JS2LhxIwD//ve/ycrKon///sCO7QDD4bA1IxQREYkSd89ehLdvp7Fgm6Vx1wfq+d3XG6nR9rgiwkFcNDl16lQuv/xyPvnkEx5++GFmz57ddO7zzz8nLy/PkgGKiIhEiyMlFXtyCoFvvsKZlW1Z3M4uFzYDNtTV018XTooc8lo8w33zzTczefJk/v3vf/Pzn/98tzXbzz33HFOmTLFkgCIiItHk7tmbum++sjSmwzTo7HKxPlBvaVwRaZ9aPMOdkJDAQw891Oy5d955p8UDEhERiSV3z95Uvvaq5XHzPC7W16ngFhGL9+Fuq/x+P3a73fKLYiKRSFNcq2NHy65xtpfxgvIcK8pz7CjXsbG/eXb37E3JY4sJVlZii4+3rP+JiXHUhcMHlLOOnOcDZbfwZkQire2A3s2DBg3i8ccfZ8CAAQwcOPAnb+3+6afW3zK3JYYOHUpSUhLBYNDy2ElJSYTD4XZ3kWionV3IozzHhvIcO8p1bOxPns3MLAy3m5qvv8Q7ZJhlfXd17vgV25LfPR0xzy2JKdJRHFDBPXz4cHw+X9PPP1VwtxVr1qxh4MCBpKWlWRo3HA5TWlpKSkoKptni5fAxFYlECIVC2Gy2dvP/n/IcG8pz7CjXsXEgeXZ17UbjxvXYR4yyrP9IJMLtWwo5LjWR7h73fj+nI+f5QBQXF1sWS6S1HVDBvXjx4qafH374YavHEjXV1dUEg0HLP7wMw2iK214+GHdpT2NWnmNDeY4d5To2DiTP7q7daNi43tLXZhgG+fWNfF1bTw+v54Cf2xHzfCCi8a20SGtpH1MrIiIiUeTq2o36DestXzvd1eNik3YqETnktbjgPuecczj11FObPTdr1izmzp3b4kGJiIjEkqtrHqHtVQTLSi2N28XtZFOgwdKYItL+tLjgXr58OSeddFKz52bMmMGrr1q/xZKIiEg0ONIzMD0e6jd8b2ncbm4XHpvZrnYdERHrtXjPneLi4r1ehJiSkkJhYWGLByUiIhJLhmk2LSvxD7fuwsn+fq/uNCkiLZ/hzsnJYeXKlc2eW7lyJVlZWS0elIiISKy5cvMsn+EG+K42QEG9lpWIHMpaXHCfdtppLFy4kKVLl+52/KmnnuL666/n9NNPP+jBiYiIxIqrazcCG763fPnHE4WlvFmx3dKYItK+tLjgvvrq3t+WKQAAIABJREFUq5kwYQKzZs0iLi6OXr16ERcXx6xZsxg/fjzXXHONleMUERGJKldeN8Lbt0fpwkntVCJyKGtxwe10OnnppZd49dVX+e3/b+/Oo5uq1v6Bf0+mJulMB0rpyFSEckVa5qlM/SEXGSwWZCz6Lob3ogx6oTJZQYYlClwvoyiVhaBUqagMV8biC3Yhk/cqoiLSlrlJW4TSps30+6OXaO1AW5JzkvT7WatrNSf77Dx5Vpo83dln77/9DQkJCZgxYwYOHjyIvXv3QqVS2TNOIiIih6q4cFJr92klEWoPrlRCAICcnBykpaXhxo0blY5nZWVBEAScOXPGYY89YsQIJCQkOKx/ql2DL5p8YNCgQRg0aJA9YiEiIpKMIAjwiIq2+4WTkWoP6I0m3Deb4SmX261fcj05OTl47bXXMHToUISGhkodDonokTe++de//oWlS5diypQpyMvLAwB89dVXVf57IyIicnYekdEou2LfEe5wDxWWtgiDhx23PSci19Lgv36dToeePXvir3/9K9577z2899570Ov1AICtW7di2bJldguSiIhIDB7RLWDIte+FkwqZgNZaNRQuslV7Y5eSkoLY2FgcPnwYf/nLX6DRaNC3b1/k5OSgsLAQycnJ8PHxQcuWLbFr165K5+7btw9du3aFRqNBUFAQpk+fjvv37wOomDbSr18/AEDnzp0hCAKEP70mioqKMHbsWHh7eyMyMhJvvPFGlfgyMzPRsWNHqNVqhIaGYs6cOTAYDJXaXLx4EX379oVarUbLli2xbds2e6aIGqDBBfesWbOg0+nw/fff45dffqn05jRw4EAcOXLELgESERGJxSPKMRdO7rpdgG03dXbtkxzn1q1beOmll7BgwQLs2LEDly9fxrhx4zB69Gh06NABu3fvRlxcHMaPH4/c3FwAwCeffIJhw4ahQ4cO+PTTT/HGG28gMzMTzz//PACgU6dOWL9+PQAgPT0d2dnZyM7OrvS406ZNQ5s2bfDpp5/iqaeewrx58/Cvf/3Ldv/nn3+OUaNGoV27dtizZw/mzp2LTZs2Yfz48bY2BoMBiYmJuH37NrZv346VK1di5cqVOH36tKPTRrVo8Bzuffv2YcuWLXjsscdgNpsr3RceHo5r1649cnBERERisl04eeVXKAMC7davh0zA98WGhzckp1BYWIjjx4+jffv2AIAbN27ghRdewLx587Bo0SIAFaPUmZmZ2LNnD1588UW8/PLLGD16NN59911bP82aNcOQIUOwaNEitG/fHu3atQMAxMbGIj4+vsrjJiUlIS0tDQAwYMAA7Nu3D5988gkGDx4MAEhLS0O3bt2wc+dOAMDgwYOh1WoxdepUfPfdd+jQoQPef/993LhxAz/++CNat24NAHjiiScQExNju03ia/AIt8lkgqenZ7X3FRUVcZUSIiJyOb9fOOmAlUrKymHhFu8uITQ01FZsA0CbNm0AVHyD/4Cfnx+Cg4Nx9epV/Pzzz8jNzUVycjJMJpPtp2/fvpDJZHVefSQxMdH2uyAIeOyxx2wDmMXFxfj2228xatSoSueMHj0aAHDixAkAFZsPxsbGViquW7Vqhccff7w+KSA7a3DB3bVrV2zdurXa+z766CP07NmzwUERERFJ5cEW7/YU4aFCmcWK/HKTXfslx/Dz86t0+8EgYnXHDQaD7Rq2kSNHQqlU2n60Wi3MZjOuXr3a4Md9MD/7zp07sFqtaNq0aaU2vr6+8PDwQGFhIQDg5s2bCA4OrtL3n88jcTV4Ssnrr7+Ofv36oU+fPhg1ahQEQcCePXuwYsUK7Nu3z/afFhERkSvxiIrG3RNZsFqtVS5qa6gApQK9/bxhAUe43VGTJk0AAOvWrUPXrl2r3G+PJQD9/PwgCALy8/MrHf/tt99QVlZmi6FZs2Y4d+5clfNv374NHx+fR46DGqbBI9zdu3fHsWPHIAgCXnrpJVitVixbtgw3b97EkSNH0KlTJ3vGSUREJArbhZMFerv1KQgC/hbWFKEenG7pjtq2bYuwsDD8+uuviI+Pr/LzoOB+MFL+51VF6sLLywsdO3bEJ598Uul4RkYGAKBXr14AgC5dutgWtHjgl19+wb///e8GPTeyjwaNcJeXl2Pv3r3o2LEjjh8/jtLSUhQVFcHPzw9ardbeMRIREYnm9x0nr0AZGGS3fq+UGnC9zIheft5265OcgyAIWL16NcaOHYv79+/jr3/9Kzw9PZGbm4t9+/Zh+fLlaNOmDdq0aQO5XI6tW7dCoVBAoVBUe/FkTdLS0jBixAiMHz8e48ePx08//YT58+cjKSkJHTp0AFCxrOHrr7+OoUOHYunSpQCAxYsXIyQkxCHPneqmQSPcKpUKY8eOtW10o9FoEBoaymKbiIhcnqMunLxcWoZP8gvt2ic5j2eeeQb79+/Hjz/+iGeffRbDhg3DW2+9haioKNv86cDAQKxfvx7Hjx9H79690blz53o9xrBhw/Dxxx/ju+++w/Dhw7Fy5UpMmTIFH3zwga2NRqPBwYMHERwcjPHjx2PevHmYO3duvR+L7KvBc7jbtm1rK7iJiIjciUdUCxjsXHBHqj1wu9wIg9kCtZy7Tjqr999/v8qxhISEajdDysnJqXR70KBBGDRoUK39T506FVOnTq1T/3v27KlyLCkpCUlJSbU+Rvv27fHVV19VOjZ58uRazyHHavBf/IoVK/D666/XeakbIiIiV+ERXbFSiT13nAz/7/ztq2XlduuTiFxDg0e4586di4KCAnTt2hUBAQFo2rRppau5BUHgBH0iInJJ6qhoWIorLpy01zxutVyGpiolrhrK0VqrtkufROQaGlxw12eSPxERkStRBDWFTOtp9wsnX28RBk9OJyFqdOpdcP/www/YtGkT9Ho9QkNDMWrUqIfOVyIiInIlgiDAM64zrCb7blTjpZCj3GKByk7re5P9nD171iH9xsXFOaRfci31KrhPnDiBgQMHwmg0IigoCAUFBXj33Xexfv16TJs2zVExEhERia7p8/b/XPv6zj3suF2A9TFRdu+biJxXvQruV199FW3btsUXX3yB8PBw3L17F5MnT8bChQtZcBMRET1EoEqBQqOpYpRbxqklzqhNmzZ26+vnn3+2W1/k2upVcH/33XfYtGkTwsPDAQA+Pj5466230KJFC1y9etV2vL6Ki4uxfv16nDt3DhqNBiNHjsTw4cOrtMvKysKGDRtst61WK8rKypCamooePXo06LGJiIjEEqJSwQpAV25CczV3nSRqLOpVcOv1eoSFhVU69qDI1uv1DS64N2/eDKPRiPT0dOTn52PRokUICwurMu8pISEBCQkJtttnz57FqlWrOD+KiIhcgrdcBo1MwK1yIwtuokak3t9nCXa+0MNgMODkyZOYMGECtFotoqKikJiYiEOHDj303EOHDqFXr17w8PCwa0xERESOIAgCkoKbIFDZ4EXCiMgF1bvg7tevH3x8fGw//v7+AIDevXtXOu7r61un/q5fvw6r1YrIyEjbsejo6IfuYnn37l188803GDhwYH2fAhERkWSGBvojUsOBIgI+/vhjdOvWDV5eXggODkZCQgK++OILZGVlQRAETJgwoVL7MWPGIC0tzXZbEAS0bNkSRqPRdmzTpk2VZgOQc6j3RZP2ZjAYoNVqKx3z9PREaWlprecdP34czZo1Q9u2bavcp9frodfrAQA6nQ7l5RW7elksFjtFjUr92btfR7JarbBYLLBYLHb/tsJRmGdxMM/iYa7F4ax5vni/FDmGcjwZUHVginluPP7xj39g6dKl2LBhA5588klotVpkZWVh586dtm/9MzMzkZqaivbt29fYz507d/Duu+9i+vTpIkZP9SV5wa1Wq6sU1yUlJdBoNLWed/jwYQwYMKDa+3bv3o0tW7bYbvft2xcAcOvWrUeMtnr5+fkO6ZcqY57FwTyLh7kWh7Pl+SeDCUcNRjxhrH1gydU4W56d2d27d7FgwQK89957SE5Oth0fMGAABgwYgKysLHh7e2PcuHFYsGAB9uzZU2NfqampWLp0KVJSUh5aO5F0JJ9E1rx5cwBAXl4eIiIiAABXrlyx/V6dy5cvIy8vD/369av2/qSkJFuRrdPpcODAAQBASEiIPUOHxWJBfn4+goODIXOR5Z2sVitMJhMUCoVLjZ4wz47HPIuHuRaHs+a5zf1S7M69iaCmTSH/Uy6Z5985apDMGXz99dcwGAx4+umna203f/58tGjRAqdOnULXrl2rbfPUU09hz549ePvttzFv3jxHhEt2IHnBrVar0bNnT2zfvh2zZ8+GTqfDwYMHMXPmzBrPOXLkCOLi4mzzx/8sMDAQgYGBACqWLlSpKq4Ed9Qbrkwmc6o389pYrVZbvK7yZv4A8ywO5lk8zLU4nC3PIR4qmAEUmi1oqlJWuo95lk58fLxD+rVarVWOFRQUIDAwEEqlspozfhcQEICXXnoJr7zyCo4ePVpjuxUrVmDEiBGYOnXqI8dLjuEUfxlTp06FXC5HSkoKFi9ejKSkJNtSf8nJybhw4YKtrdFoxPHjx3mxJBERuaQmSgU0MgGFRvtuG0+uIyAgAHq9vtLFjjWZM2cOvv/++1pXb+vTpw+6deuGVatW2TNMsiPJR7gBwMvLC6mpqdXel5GRUem2UqnEjh07xAiLiIjI7mSCgPceawGZi41gk/306NEDarUan376aaU53NXx8vLCggULMH/+fLRs2bLGdsuXL0fv3r3x8ssv2ztcsgOnKLiJiIgaE7MVKDab4aOQSx0K/deZM2cAiLO1u4+PD5YtW4YZM2ZAJpNh8ODB0Gg0OHHiBD744AOMGzeuUvvp06djzZo1uHLlSrWrswFAx44dMXToUPzzn/9EbGys3Z4D2YdTTCkhIiJqTD68rcc717mqR2M2c+ZMrFu3Dm+++SaaNm2KZs2aIS0tDSNGjKjSVqVSIS0tDQUFBbX2uXTpUvz222+OCpkeAUe4iYiIRBasUuK7YvdaFpDqLzk5ucYpJX9epSUlJQUpKSmVjv35gsxWrVrVaV44iY8j3ERERCLzkctRbDZLHQYRiYQFNxERkcg0chlKuTMjUaPBgpuIiEhk4R4qJAcHVLtGMxG5H87hJiIiElmgSokhgX5Sh0FEIuEINxERkchKzRa8eyMfd0zc/IaoMeAINxERkcjkAnC48C76+/vAT8GPYmdS09rZRI+Cf+VEREQiU8lkUAkC7pl44aSziIuLkzoEcmOcUkJERCQBLy4NSNRosOAmIiKSgL9SjjIuDUjUKHBKCRERkQSWtQyXOgT6g7NnzzqkX05VIYAj3ERERJIos1g4pYSokeAINxERkQS239SjxGLBi+EhUodCf9CmTRu79cUVT+gBjnATERFJwEvBiyaJGgsW3ERERBLwlstRzGUBiRoFFtxEREQS8JbLcI8j3OTE3n//fXTr1q3G+1NSUpCamtqgvjdt2oSEhIQGRuZ6WHATERFJoKVWjaGBflKHQRJJSEiAWq2Gl5eX7YcrmvzOaDRi2bJlaNu2LTw9PREeHo7k5GR89913AIC0tDQIgoD33nuv0nkhISHIysoCAGRlZUEQBEyYMKFSmzFjxiAtLU2Mp2HDgpuIiEgCzT1U+H8BLLgbs7Vr16K4uNj246ilCV3R6NGjkZGRgfT0dNy5cwc//vgjhg4dir1799raNGnSBEuWLEFZWVmN/Wi1WmRmZuLChQtihF0jFtxEREQSKDVbsPWGDneMJqlDISeTk5MDQRCwfft2REdHw9/fH7Nnz7bd/+uvv6J///7w9fVFQEAA+vTpY7vv1q1bGD16NJo2bYrw8HCkpaXB8t8Nlh5MEUlNTUWTJk0QFhaGvXv34ssvv0RMTAz8/Pzw8ssvV4lnzpw58PPzQ8uWLZGRkVFj3F9++SXi4+Ph5+eHTp064f/+7/9s9+Xl5WHAgAHw9vZGz549kZubW2M/R48exf79+/H555+je/fuUCqV8PT0xMSJE/HKK6/Y2g0cOBDBwcHYuHFjjX15e3tj2rRpWLBgQY1txMCCm4iISAJKQcChwt9wu9wodSjkpA4fPozvv/8eZ8+eRXp6Oo4ePQoAWLBgAdq0aQO9Xo9bt25h2bJlAACLxYJhw4ahVatWyM3NxalTp/DZZ59VmnZx9uxZREZGIj8/H/PmzcPkyZORnp6Ob775BufOncM777yDr7/+2tb+zJkzCAwMhE6nw8aNGzFp0iRcunSpSqz//ve/MXbsWKxduxaFhYVYsmQJRowYAb1eDwB49tlnERMTA51Oh7fffrvKVJA/OnjwILp06YLIyMha8yMIApYvX47ly5ejuLi4xnbz58/HsWPHcOrUqVr7cyQW3ERERBJQyAT4KOQoNHGEu7F6MHL84GfSpEmV7n/ttdfg6emJFi1aoE+fPjh37hwAQKVS4ebNm8jNzYVSqUTv3r0BVBTHV69exeuvvw61Wo3Q0FDMmTMHH374oa3P5s2bY/r06VAoFBg3bhz0ej1mzZoFX19ftGjRAt26dbM9DlAxbSM1NRVKpRKJiYkYPHgwdu3aVeW5bN68Gf/zP/+DXr16QSaTYejQoejYsSP279+PvLw8ZGdnY8WKFVCr1YiLi8O4ceNqzEtBQQFCQ0PrlMNBgwYhNjYWq1evrrFNQEAAXnrppUqj42LjxjdEREQSaaJQoNDIlUqcQXx8fJVjd+/ehY+PzyMdt1qtNT7m6tWrMW3atBrvDwn5fVMkrVZrG8VdtWoVXn31VfTr1w9KpRJTpkxBamoqcnJyoNPp4O/vbzvPYrEgPDy8xj5rexygokCXyX4fn42MjMT169erxJqTk4OsrCxs3rzZdsxoNGLQoEG4ceMGfH194evrW6mf8+fPV/u8AwIC8NNPP9WYlz9bsWIFEhMT8be//a3GNnPmzMG6detw6NChOvdrTyy4iYiIJBKoVKDUwrW4ncGZM2cAVN1p8u7du9W2r8txR+00+WDe8saNG/Htt99iwIAB6Ny5MyIiIhAWFoacnBy7Pdb169dhsVhsRXdeXh46depUpV1ERATmzp1b7eofeXl5+O233yr9Q5KXl1fjYyYmJmLt2rXIy8tDRETEQ2Ps2rUr+vfvjxUrVtTYxsvLCwsWLMD8+fPRsmXLh/Zpb5xSQkREJJE5ESEYFdxE6jDIxWRkZODq1asAAD8/P8jlcsjlcnTu3BlBQUFYunQp7t+/D4vFgkuXLuH48eMNfqzCwkK88cYbMBqNOHz4MA4cOIBnnnmmSrspU6bgnXfewYkTJ2CxWFBaWopjx47h2rVriIiIQLdu3TB//nyUlZXh/Pnz2LFjR42P2b9/fzz55JMYMWIETp06BaPRiJKSEuzYsQMrV66s9pxly5Zh06ZNuHfvXo39Tp8+HTqdDocPH65/Ih4RC24iIiKJmK3AHc7hbrRmzZpVaR3uP07tqM3Zs2fRvXt3eHp6ok+fPpg1axYSEhIgl8vxxRdf4NKlS2jdujX8/f2RnJyMmzdvNjjG+Ph45OfnIygoCFOmTMHWrVsRExNTpV2nTp2wbds2/P3vf0dAQAAiIyPx1ltv2VZI2blzJy5cuIDAwEDMmDEDzz33XK2Pm5GRgaeffhoTJ06En58f2rRpgy+++AJPPfVUte3btWuHUaNGoaSkpMY+VSoV0tLSUFBQUI8M2IdgrW1ykRu4ceMGdu7ciYkTJyIoKMiufVssFhQUFCAgIKDS/CZnZrVaYTabIZfLIQiC1OHUCfMsDuZZPMy1OFwhz1lFd/Gprgj/aFOxGgPz/DudTocNGzZgypQpdb6A7lE8WAP7z1NKHsXPP//MzWwIQCOZw/3EE0/A398fJgeMIvj7+8Nisdj+g3MVZhfbTph5FgfzLB7mWhzOnmdfmYAikwlGo7FSgc08o9KFf0SurlEU3OfPn0eHDh04wg2OnoiFeRaHK+YZYK7F4gp5DvLwgNEKGAQZvBVy5vkPdDqd3foiklqjKLiLi4thMpns/uYlCIKtX1d5Y3zAlWJmnsXBPIuHuRaHK+Q5QFXxMVxkNsNH+ftHsjPH/GeOyrMjvpUmkopz/stPRETUCGhkMkwICYC3XC51KETkQI1ihJuIiMgZCYKAvwZyrjKRu2PBTUREJKGDBb/BWyFDd19vqUMhOG6zGmrcWHATERFJ6OcSA1QygQW3xLh8HzkS53ATERFJqIlSjkIjLxAkcmcsuImIiCTURKlAIVfkIHJrLLiJiIgkFKBUwOTemz4TNXqcw01ERCShzj5e6OzjJXUYRORAHOEmIiKSkNVqhb7ciHIn3X6eiB4dC24iIiIJWQC88HMuLpeWSR0KETkIC24iIiIJyQUBfgo5irhSCZHbYsFNREQkMX+uVELk1lhwExERSayJQsG1uIncGFcpISIiktigJr5QyQSpwyAiB2HBTUREJLHHvbUAKlYsISL3wyklREREErtcasDWGzqpwyAiB2HBTUREJLESswVHi37jCDeRm2LBTUREJLEmSgVMVuCemZvfELkjFtxEREQSa6KouKSqgCuVELklFtxEREQS08hlCFIqUMrt3YncElcpISIicgL/jImC1WqFiRvgELkdFtxERERO4K7JDJPFAm8ux03kdjilhIiIyAl8cEuPjPxCqcMgIgdgwU1EROQE/Lm9O5HbYsFNRETkBAKUChRw/jaRW2LBTURE5AQCVQoUGE3c/IbIDTnFRZPFxcVYv349zp07B41Gg5EjR2L48OHVti0vL8e2bdvw1Vdfoby8HKGhoVi2bBm0Wq3IURMREdlPC7UHJoUEguU2kftxioJ78+bNMBqNSE9PR35+PhYtWoSwsDDExcVVabthwwYYDAa8/fbb8PX1RW5uLpRKpQRRExER2Y+fUoEEfx8uC0jkhiSfUmIwGHDy5ElMmDABWq0WUVFRSExMxKFDh6q0vXbtGrKzszFjxgz4+/tDJpMhOjqaBTcREbmF927o8HOJQeowiMjOJB/hvn79OqxWKyIjI23HoqOjkZ2dXaXtpUuXEBwcjF27duHYsWPw8fHBiBEjkJiYKGbIREREDvFTiQGhSjnaSR0IEdmV5AW3wWCoMv/a09MTpaWlVdrqdDrk5uaiS5cuSE9PR05ODhYvXozQ0FDExsba2un1euj1ets55eXlAACLnbfMfdCfvft1JKvVCovFAovFAkFwjd0VmGdxMM/iYa7F4Yp5DlDKoTeamGciNyN5wa1Wq6sU1yUlJdBoNFXaenh4QCaTYcyYMVAqlWjdujV69uyJ06dPVyq4d+/ejS1btthu9+3bFwBw69YthzyH/Px8h/RLlTHP4mCexcNci8OV8qw1GnGjvBy3b9+WOpR6c6U8E4lN8oK7efPmAIC8vDxEREQAAK5cuWL7/Y+ioqLq1GdSUpKtyNbpdDhw4AAAICQkxA4R/85isSA/Px/BwcGQySSfDl8nVqsVJpMJCoXCpUZPmGfHY57Fw1yLwxXz3LLgDn4pMaBp06aNPs+OGiQjkoLkBbdarUbPnj2xfft2zJ49GzqdDgcPHsTMmTOrtI2NjUVISAg+/vhjjB49Gjk5OTh58iQWLFhQqV1gYCACAwMBAD4+PlCpVADgsDdcmUzmMm/mVqvVFq+rvJk/wDyLg3kWD3MtDlfK85BAf5hMJuaZyM04xV/G1KlTIZfLkZKSgsWLFyMpKcm2JGBycjIuXLgAAJDL5Vi4cCH+85//YMyYMXjjjTfw/PPPV5pOQkRE5KpMFityDeUwc/MbIrci+Qg3AHh5eSE1NbXa+zIyMirdDgsLw8qVK8UIi4iISFRFJhMW5t7EujaRCFQ5xZgYEdkB/5qJiIichJ+iYhysyMjNb4jcCQtuIiIiJ6GUCfCWy1DI3SaJ3AoLbiIiIifip5CjyGiWOgwisiOnmMNNREREFUYH+iNE4yF1GERkRyy4iYiInMjjXhooFPx4JnInnFJCRETkRM7cK8GOW3qpwyAiO2LBTURE5ETumc04e69E6jCIyI5YcBMRETmRAKUChUYTrNz8hshtsOAmIiJyIv4KOcqsVtw3W6QOhYjshAU3ERGREwlQKNBMpcR9CwtuInfBy6CJiIiciFYuw+rWERAEQepQiMhOOMJNRETkZG6WlUNfbpQ6DCKyExbcRERETib9ph5Hiu5KHQYR2QkLbiIiIicToFSgwGiSOgwishMW3ERERE6GBTeRe2HBTURE5GRYcBO5F65SQkRE5GQ6eGrQRMmPaCJ3wb9mIiIiJxOoUiLIQyV1GERkJ5xSQkRE5GRMFiuW51zHdUO51KEQkR2w4CYiInIyCpmASyVluMW1uIncAgtuIiIiJ8QLJ4ncBwtuIiIiJ8SCm8h98KJJIiIiJ9RC4wGlIEgdBhHZAQtuIiIiJzS6aYDUIRCRnXBKCRERkRMqNpvx4/1SqcMgIjtgwU1EROSEfi0tw7KcG7BarVKHQkSPiAU3ERGREwpQKmC0WnHXbJY6FCJ6RCy4iYiInFDAf7d250olRK6vUVw06eXlBYVCYfev5axWq61fV/nK70GcrhIvwDyLhXkWD3MtDlfPs4cgwFMuQ0G5CdFq543fUXlWKBpFiUKNRKN4NT/xxBPw9/eHyWT/UQJ/f39YLBZYLBa79+1IZhf7ipJ5FgfzLB7mWhyunucZzQIRplI45PPLnhyRZ39/f7v1RSS1RlFwnz9/Hh06dEBQUJBd+7VYLCgoKEBAQABkMteYnWO1WmE2myGXyyG4yPquzLM4mGfxMNficIc8d/T1ljqkh3JUnnU6nd36IpJaoyi4i4uLYTKZ7P4hIQiCrV9X+QB6wJViZp7FwTyLh7kWhzvk+cuCOygymTHGidfkdlSenX1Un6g+XONffiIiokbovtnCtbiJ3AALbiIiIicVoFRwlRIiN8CCm4iIyEkFKBUoNJlgcZFVVoioeiy4iYiInFSwSolWGjUMFhbcRK6sUVw0SUQweMY8AAAQtElEQVRE5IqCVUq81iJM6jCI6BFxhJuIiMiJ/XS/FPpyo9RhENEjYMFNRETkxLbe1OH0vftSh0FEj4AFNxERkRPjSiVEro8FNxERkRNrwoKbyOWx4CYiInJiAQoFCllwE7k0rlJCRETkxHr5eaOjt1bqMIjoEbDgJiIicmJBKiWCoJQ6DCJ6BJxSQkRE5MTuGE145ZerKOK0EiKXxYKbiIjIiWnlMlwxlPHCSSIXxoKbiIjIialkMnjLZSy4iVwYC24iIiInF6BUsuAmcmEsuImIiJxcrJcGnnJ+ZBO5Kq5SQkRE5OTGhwRKHQIRPQL+u0xEROTk9OVG/Ke4ROowiKiBWHATERE5uYslBrxzPV/qMIiogVhwExERObkAZcX27harVepQiKgBWHATERE5uSYKBSwA7pjMUodCRA3AgpuIiMjJNVHKAQCFXBqQyCWx4CYiInJyKpkMr7VojjAPldShEFEDcFlAIiIiFxCj1UgdAhE1kFMU3MXFxVi/fj3OnTsHjUaDkSNHYvjw4dW2HTZsGDw8PCAIAgCgXbt2SEtLEzFaIiIi8W2/qYeXXIaRwU2kDoWI6skpCu7NmzfDaDQiPT0d+fn5WLRoEcLCwhAXF1dt+zVr1iAsLEzkKImIiKRTZrWgqIxzuIlckeRzuA0GA06ePIkJEyZAq9UiKioKiYmJOHTokNShEREROQ1/hQJFvGiSyCVJPsJ9/fp1WK1WREZG2o5FR0cjOzu7xnMWLlwIs9mM1q1bIyUlBREREWKESkREJBl/hQJFXBaQyCVJXnAbDAZotdpKxzw9PVFaWlpt++XLlyMmJgZGoxGZmZlYvHgxNmzYUKkPvV4PvV4PANDpdCgvLwcAWCwWu8b+oD979+tIVqsVFosFFovFNg/e2THP4mCexcNci8Pd8hyqUiBarXK65+OKeSYSm+QFt1qtrlJcl5SUQKOp/mrs2NhYAIBSqcT48eNx7NgxXLx4sdJ87927d2PLli2223379gUA3Lp1y97hAwDy87ndrhiYZ3Ewz+JhrsXhLnn2AfCMwnGfZY/KXfJM5AiSF9zNmzcHAOTl5dmmhly5cqXO00SqG2lJSkqyFdk6nQ4HDhwAAISEhNgjZBuLxYL8/HwEBwdDJpN8OnydWK1WmEwmKBQKlxqlYp4dj3kWD3MtDnfLs9lqxZl799FOq4G3Qi5RhFU5Ks/O+o8FUUNIXnCr1Wr07NkT27dvx+zZs6HT6XDw4EHMnDmzStu8vDwYjUZERUXBZDJh9+7dKC8vR0xMTKV2gYGBCAwMBAD4+PhAparYKMBRb7gymcyl3swfxOsqH5oPMM/iYJ7Fw1yLw23ybLVi3fV8vBIZiliVUpoAa+FKeSYSm+QFNwBMnToV69atQ0pKCjQaDZKSkmxTRJKTk/Hqq6+iffv2uHPnDjZu3Ai9Xg+VSoVWrVrhtddeg5eXl8TPgIiIyLFkgsALJ4lclFMU3F5eXkhNTa32voyMDNvvf/nLX7Bx40axwiIiInIq/go5lwYkckH87oeIiMhF+CsVKDKx4CZyNU4xwk1EREQPN7ZpAFScJ03kclhwExERuYgQD5XUIRBRA/DfZCIiIhdx7t59pP16TeowiKieWHATERG5CIUg4HJpGaxWq9ShEFE9sOAmIiJyEf4KOYxWK+6buY06kSthwU1EROQi/JUVl15xpRIi18KCm4iIyEV4ymSI9/aEANfa7ZOoseMqJURERC5CEAS8HNlM6jCIqJ44wk1ERORCLt4vxa+lBqnDIKJ64Ag3ERGRC/my4Df4KORooVFLHQoR1VGjKbj1er3D+r5165bD+rY3hUIBf39/6HQ6mFzsohvmWRzMs3iYa3G4W55VZeW4UWrFjRtGkaOrnb3z7MjPbSKxuX3BrdVqoVQqkZmZafe+DQYDcnNzERkZCbWaIw2OwjyLg3kWD3MtDnfP8ztSB/BfjsyzUqmEVqu1a59EUhCsjWD1/Dt37qCkpMTu/V6+fBmzZ8/GmjVr0LJlS7v3TxWYZ3Ewz+JhrsXBPIvDkXnWarXw8/Oza59EUnD7EW4A8PPzc8gf7N27dwEAQUFBCA0NtXv/VIF5FgfzLB7mWhzMsziYZ6KH4yolREREREQOJE9LS0uTOghXptFoEB8fzzlmDsY8i4N5Fg9zLQ7mWRzMM1HtGsUcbiIiIiIiqXBKCRERERGRA7HgJiIiIiJyoEaxSsmjKC4uxvr163Hu3DloNBqMHDkSw4cPr7btsGHD4OHhAUEQAADt2rUDp8jXTX3yXF5ejm3btuGrr75CeXk5QkNDsWzZMs4drIO65jkrKwsbNmyw3bZarSgrK0Nqaip69OghZsguqz6v6RMnTuDDDz+EXq+Hn58fkpKSkJiYKHLErqk+eT527BgyMjJQUFCAFi1aYMaMGQgLCxM5Yvexd+9eHD16FDk5OejevTv+/ve/Sx0SkdNiwf0QmzdvhtFoRHp6OvLz87Fo0SKEhYUhLi6u2vZr1qzhG3gD1CfPGzZsgMFgwNtvvw1fX1/k5uZCqVRKELXrqWueExISkJCQYLt99uxZrFq1qsbXPVVV11zrdDqsXr0aqamp6Ny5M3766ScsXrwYLVu25NrRdVDXPP/www/YsmULli5diqioKOzatQvLli3DunXrIJfLJYretTVp0gTJycn49ttvce/ePanDIXJqnFJSC4PBgJMnT2LChAnQarWIiopCYmIiDh06JHVobqU+eb527Rqys7MxY8YM+Pv7QyaTITo6mgV3HTzK6/nQoUPo1asXPDw8RIjU9dUn1zqdDp6enujSpQsEQUDbtm0RFhaGvLw8CSJ3LfXJ86lTp9CjRw+0bNkScrkco0ePxu3bt3HhwgUJIncPPXr0QLdu3eDj4yN1KEROjwV3La5fvw6r1YrIyEjbsejo6Fo/CBcuXIgJEyZgyZIl/MCso/rk+dKlSwgODsauXbswfvx4/O///i8OHjwoZrguqyGvZ6BiU4tvvvkGAwcOdHSIbqM+uY6JiUHz5s2RnZ0Ni8WCH374Abdv30b79u3FDNkl1SfPf16Q68HtnJwch8ZIRARwSkmtDAZDlXnBnp6eKC0trbb98uXLERMTA6PRiMzMTCxevBgbNmzg3OKHqE+edTodcnNz0aVLF6SnpyMnJweLFy9GaGgoYmNjxQrZJdX39fzA8ePH0axZM7Rt29aR4bmV+uRaLpejf//+WLt2LcrKyiAIAqZPn47g4GCxwnVZ9clzXFwcVq5cicTERERHR2PXrl0wm80oKysTK1wiasQ4wl0LtVpd5Y27pKQEGo2m2vaxsbFQKpXQarUYP3485HI5Ll68KEaoLq0+efbw8IBMJsOYMWOgVCrRunVr9OzZE6dPnxYrXJdV39fzA4cPH8aAAQMcGZrbqU+uz58/j/T0dLz22mvIzMzEP/7xD2RkZPA1XQf1yfPjjz+OSZMmYc2aNUhJSUFZWRnCw8MRGBgoVrhE1Iix4K5F8+bNAaDS15NXrlxBREREnc5/sFoJ1a4+eY6KihIrLLfTkNfz5cuXkZeXh379+jk8PndSn1zn5OTgscceQ9u2bSGTyRAREYH4+HicPXtWtHhdVX1f04MHD8bGjRuxY8cOjB49Gvn5+WjdurUosRJR48aCuxZqtRo9e/bE9u3bUVJSgtzcXBw8eBCDBg2q0jYvLw+XL1+2fUW5c+dOlJeXIyYmRoLIXUt98hwbG4uQkBB8/PHHMJvNuHz5Mk6ePInOnTtLELlrqU+eHzhy5Aji4uLg7+8vYqSurz65bt26NX788UdcunQJQMWFwWfOnEF0dLTYYbuc+uTZaDTiypUrsFgsKCoqwj//+U90796dq0o9ArPZjPLyclgsFlgsFpSXl8NkMkkdFpFT4tbuD1FcXIx169bZ1nh9+umnbWu8Jicn49VXX0X79u3xn//8Bxs3boRer4dKpUKrVq2QkpLCD806qmuegYqCZN26dbh8+TKaNGmCZ555hhf01VF98mw0GpGSkoIXXngB3bp1kzJsl1SfXB84cACfffYZioqK4OnpiYSEBIwfPx4yGcdEHqaueS4pKcErr7yCmzdvQqVSoXfv3khJSeHKO49g586d+Oijjyod69+/P2bNmiVRRETOiwU3EREREZEDcfiEiIiIiMiBWHATERERETkQC24iIiIiIgdiwU1ERERE5EAsuImIiIiIHIgFNxERERGRA7HgJiIiIiJyIBbcREREREQOxIKbiIiIiMiBWHATkd2kpaVBEATbT0BAAHr16oX9+/dLEk9WVhYEQcCZM2dsxwRBwJtvvilJPERE1Dix4CYiu9JoNMjOzkZ2dja2bNkCg8GAp556Cl9//bXUoREREUlCIXUAROReZDIZunXrZrvdtWtXhIeHY9u2bejRo4eEkREREUmDI9xE5FDNmzdHUFAQ8vLybMeys7PRv39/eHp6wtfXF2PHjkV+fn6l88rKyrBw4UK0aNECHh4eCAsLQ0pKSqU+hg0bhtDQUHh6eqJjx47Yvn27WE+LiIiozjjCTUQOVVxcjMLCQkRHRwOoKJQTEhIwZMgQ7Nq1C/fv38fChQsxfPhwZGdn285LSkrC0aNHMX/+fHTr1g06nQ6ZmZm2+3Nzc9GzZ09MmzYNarUaJ0+exPPPPw+LxYJJkyaJ/jyJiIhqwoKbiOzOZDIBAG7cuIG5c+fC29sbM2fOBACkpqYiPj4emZmZEAQBANChQwfExsZi//79GDJkCA4dOoR9+/Zh586dePbZZ239/vH3MWPG2H63Wq3o06cPrl27hs2bN7PgJiIip8KCm4js6v79+1Aqlbbbcrkcn332GWJiYlBSUoKTJ0/izTffhNlstrVp06YNwsPDcfr0aQwZMgRHjhyBVqutVFT/WVFREV599VV89tlnuH79uq2/gIAAxz05IiKiBuAcbiKyK41Gg9OnT+PUqVP44IMP0KxZM0ycOBE3b95EUVERzGYzZs+eDaVSWeknLy8PV69eBQAUFBSgWbNmthHw6qSkpODDDz/Eyy+/jIMHD+L06dN47rnnYDAYxHqqREREdcIRbiKyK5lMhvj4eABAly5dEBMTg65du2LJkiV48803IQgC5s+fjxEjRlQ5NzAwEEDFKPXNmzdhtVqrLboNBgP27t2L1atX44UXXrAdt1gsDnpWREREDccRbiJyqPj4eDz77LNIT0/HvXv30L17d1y8eBHx8fFVfqKiogAAAwcORElJCTIyMqrts6ysDBaLBSqVynbs3r17+Pzzz8V4SkRERPXCEW4icrhFixbho48+wtq1a7Fq1Sr0798fo0ePxpgxY+Dv749r167h0KFDmDx5MhISEjBw4EAMGTIEzz33HC5fvoyuXbuisLAQn3zyCXbt2gVfX1907twZK1euRFBQEBQKBVauXAlfX98qywsSERFJjSPcRORwMTExGDNmDDZu3Ij27dvjxIkTKC4uxuTJkzFkyBAsWbIEWq0WrVq1sp2ze/duvPjii9i8eTOefPJJzJkzB15eXrb7d+7ciVatWmHSpEl48cUXMWrUKEycOFGKp0dERFQrwWq1WqUOgoiIiIjIXXGEm4iIiIjIgVhwExERERE5EAtuIiIiIiIHYsFNRERERORALLiJiIiIiByIBTcRERERkQOx4CYiIiIiciAW3EREREREDsSCm4iIiIjIgVhwExERERE5EAtuIiIiIiIH+v/7QaNPFiwuVAAAAABJRU5ErkJggg==\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8741627518749)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 60\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"aSOdgXSpHiYx\"\n      },\n      \"source\": [\n        \"# Blast comparison\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"vvFBBYlmToXe\"\n      },\n      \"source\": [\n        \"Let's do the same sort of analysis for a BLAST baseline.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"VXqzzmJOHjr8\",\n        \"outputId\": \"9cbe0846-be9e-412f-c9bd-dd8950df2e5b\"\n      },\n      \"source\": [\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/blast_output/random/blast_out_test.tsv\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/fasta_files/SWISSPROT_RANDOM_GO/eval_test.fasta\\n\",\n        \"!wget -qN https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/blast_baseline/fasta_files/SWISSPROT_RANDOM_GO/train.fasta\\n\",\n        \"train_ground_truth = colab_evaluation.make_tidy_df_from_ground_truth(baseline_utils.load_ground_truth('train.fasta')).rename(columns={\\\"up_id\\\":\\\"train_seq_id\\\"}).drop(columns=[\\\"gt\\\"])\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"877044it [00:14, 58510.66it/s]\\n\",\n            \"100%|██████████| 438522/438522 [00:11<00:00, 39569.33it/s]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"NwD3Ers7IIBe\"\n      },\n      \"source\": [\n        \"blast_out = colab_evaluation.read_blast_table(\\\"blast_out_test.tsv\\\")\\n\",\n        \"blast_df = blast_out.merge(train_ground_truth,\\n\",\n        \"                           left_on=\\\"target\\\",\\n\",\n        \"                           right_on=\\\"train_seq_id\\\")\\n\",\n        \"blast_df.rename(columns={'bit_score': 'value', \\\"query\\\": \\\"up_id\\\"}, inplace=True)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"kcqNR0hQJwHv\",\n        \"outputId\": \"86bc6d3f-bf47-4cdd-9842-e31854f40216\"\n      },\n      \"source\": [\n        \"min_decision_threshold = 0\\n\",\n        \"blast_pr_data = colab_evaluation.get_pr_curve_df(blast_df, ground_truth_df)\\n\",\n        \"blast_pr_data['method'] = 'BLAST'\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.61s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 533\n        },\n        \"id\": \"2IIjwAbrOmTT\",\n        \"outputId\": \"54aabba5-79c2-44a7-f87b-5f206c701863\"\n      },\n      \"source\": [\n        \"cnn_pr_data['method'] = 'CNN'\\n\",\n        \"ens_cnn_pr_data['method'] = 'Ensembled CNN'\\n\",\n        \"method_comparison = pd.concat([\\n\",\n        \"    cnn_pr_data.drop(index=0),\\n\",\n        \"    ens_cnn_pr_data.drop(index=0),\\n\",\n        \"    blast_pr_data.drop(index=0)\\n\",\n        \"],\\n\",\n        \"                              ignore_index=True)\\n\",\n        \"ggplot(method_comparison,\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\",\\n\",\n        \"           color=\\\"method\\\")) + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.5, 1), ylim=(0.5, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"Method\\\")\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"/usr/local/lib/python3.7/dist-packages/plotnine/utils.py:1246: FutureWarning:\\n\",\n            \"\\n\",\n            \"is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\\n\",\n            \"\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8741694436997)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 57\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 174\n        },\n        \"id\": \"DdPDKvc7axjD\",\n        \"outputId\": \"d5dc4b2b-ad19-485f-c2db-bdaa2179d39c\"\n      },\n      \"source\": [\n        \"method_comparison.groupby(\\\"method\\\")[['f1']].agg(max)\"\n      ],\n      \"execution_count\": null,\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>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>method</th>\\n\",\n              \"      <th></th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>BLAST</th>\\n\",\n              \"      <td>0.902019</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>CNN</th>\\n\",\n              \"      <td>0.884862</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>Ensembled CNN</th>\\n\",\n              \"      <td>0.899472</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"                     f1\\n\",\n              \"method                 \\n\",\n              \"BLAST          0.902019\\n\",\n              \"CNN            0.884862\\n\",\n              \"Ensembled CNN  0.899472\"\n            ]\n          },\n          \"execution_count\": 22,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 144\n        },\n        \"id\": \"JoW4Rg7Ln2Bd\",\n        \"outputId\": \"ced739a3-ddc9-41bd-e6de-e6dc1cd9d3a9\"\n      },\n      \"source\": [\n        \"method_comparison.sort_values('f1',\\n\",\n        \"                              ascending=False).drop_duplicates(['method'])\\n\"\n      ],\n      \"execution_count\": null,\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>group</th>\\n\",\n              \"      <th>precision</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>threshold</th>\\n\",\n              \"      <th>f1</th>\\n\",\n              \"      <th>method</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>5590</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.895459</td>\\n\",\n              \"      <td>0.908676</td>\\n\",\n              \"      <td>46.600000</td>\\n\",\n              \"      <td>0.902019</td>\\n\",\n              \"      <td>BLAST</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2780</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.919477</td>\\n\",\n              \"      <td>0.880319</td>\\n\",\n              \"      <td>0.376871</td>\\n\",\n              \"      <td>0.899472</td>\\n\",\n              \"      <td>Ensembled CNN</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>632</th>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.918018</td>\\n\",\n              \"      <td>0.854018</td>\\n\",\n              \"      <td>0.710102</td>\\n\",\n              \"      <td>0.884862</td>\\n\",\n              \"      <td>CNN</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"     group  precision    recall  threshold        f1         method\\n\",\n              \"5590   all   0.895459  0.908676  46.600000  0.902019          BLAST\\n\",\n              \"2780   all   0.919477  0.880319   0.376871  0.899472  Ensembled CNN\\n\",\n              \"632    all   0.918018  0.854018   0.710102  0.884862            CNN\"\n            ]\n          },\n          \"execution_count\": 23,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"_VyNMIBZcAfk\"\n      },\n      \"source\": [\n        \"Let's investigate what's going on at the left hand side of the graph where the CNN and ensemble achieve greater precision than BLAST.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"UQ0as8vXMNEW\"\n      },\n      \"source\": [\n        \"def get_x_where_y_is_closest_to_z(df, x, y, z):\\n\",\n        \"    return df.iloc[(df[y] - z).abs().argsort()[:1]][x]\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"cnn_threshold = float(\\n\",\n        \"    get_x_where_y_is_closest_to_z(cnn_pr_data,\\n\",\n        \"                                  x=\\\"threshold\\\",\\n\",\n        \"                                  y=\\\"recall\\\",\\n\",\n        \"                                  z=0.96))\\n\",\n        \"blast_threshold = float(\\n\",\n        \"    get_x_where_y_is_closest_to_z(blast_pr_data,\\n\",\n        \"                                  x=\\\"threshold\\\",\\n\",\n        \"                                  y=\\\"recall\\\",\\n\",\n        \"                                  z=0.96))\\n\",\n        \"\\n\",\n        \"cnn_results = colab_evaluation.assign_tp_fp_fn(ens_predictions_df,\\n\",\n        \"                                               ground_truth_df, cnn_threshold)\\n\",\n        \"\\n\",\n        \"blast_results = colab_evaluation.assign_tp_fp_fn(blast_df, ground_truth_df,\\n\",\n        \"                                                 blast_threshold)\\n\",\n        \"\\n\",\n        \"merged = cnn_results.merge(blast_results,\\n\",\n        \"                           how=\\\"outer\\\",\\n\",\n        \"                           suffixes=(\\\"_ens_cnn\\\", \\\"_blast\\\"),\\n\",\n        \"                           left_on=[\\\"label\\\", \\\"up_id\\\", \\\"gt\\\"],\\n\",\n        \"                           right_on=[\\\"label\\\", \\\"up_id\\\", \\\"gt\\\"])\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"v4f6jjepehLW\"\n      },\n      \"source\": [\n        \"blast_info = blast_out[['up_id', 'target', 'pc_identity']]\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"PF2TB_jNomft\"\n      },\n      \"source\": [\n        \"Let's list some of the BLAST false-positives in case we want to investigate what's going on.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 49\n        },\n        \"id\": \"fchf2u1wdihM\",\n        \"outputId\": \"27c81a57-e73c-47c3-e996-d9df10046221\"\n      },\n      \"source\": [\n        \"merged.query(\\\"fp_blast==True and fp_ens_cnn==False\\\").head()\"\n      ],\n      \"execution_count\": null,\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>up_id</th>\\n\",\n              \"      <th>label</th>\\n\",\n              \"      <th>value_ens_cnn</th>\\n\",\n              \"      <th>gt</th>\\n\",\n              \"      <th>tp_ens_cnn</th>\\n\",\n              \"      <th>fp_ens_cnn</th>\\n\",\n              \"      <th>fn_ens_cnn</th>\\n\",\n              \"      <th>target</th>\\n\",\n              \"      <th>pc_identity</th>\\n\",\n              \"      <th>alignment_length</th>\\n\",\n              \"      <th>value_blast</th>\\n\",\n              \"      <th>train_seq_id</th>\\n\",\n              \"      <th>tp_blast</th>\\n\",\n              \"      <th>fp_blast</th>\\n\",\n              \"      <th>fn_blast</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"Empty DataFrame\\n\",\n              \"Columns: [up_id, label, value_ens_cnn, gt, tp_ens_cnn, fp_ens_cnn, fn_ens_cnn, target, pc_identity, alignment_length, value_blast, train_seq_id, tp_blast, fp_blast, fn_blast]\\n\",\n              \"Index: []\"\n            ]\n          },\n          \"execution_count\": 26,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"kXvgYdoIEC8x\"\n      },\n      \"source\": [\n        \"# An ensemble of BLAST and ensembled-CNNs\\n\",\n        \"\\n\",\n        \"We've seen that the CNN-ensemble and BLAST have different strengths - at lower recalls the CNN appears to have greater precision than BLAST at lower recalls, but BLAST has better recall at lower precisions. Can we combine these approaches to get a predictor with the best of both worlds?\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"8c3FW0x6GgR5\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble = ens_predictions_df.merge(blast_df,\\n\",\n        \"                                                  how=\\\"outer\\\",\\n\",\n        \"                                                  suffixes=(\\\"_ens_cnn\\\",\\n\",\n        \"                                                            \\\"_blast\\\"),\\n\",\n        \"                                                  left_on=[\\\"label\\\", \\\"up_id\\\"],\\n\",\n        \"                                                  right_on=[\\\"label\\\", \\\"up_id\\\"])\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"WqkATRN3GqDE\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble = blast_and_cnn_ensemble.fillna(False)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"QNO1n03TJp6z\"\n      },\n      \"source\": [\n        \"We will create a simple ensemble where the value of the predictor is simply the multiple of the probability assigned by the ensemble of neural networks and the bit-score linking this sequence to to an example with this label by BLAST.\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"8FbzU_6QGvZS\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble['value'] = blast_and_cnn_ensemble[\\n\",\n        \"    'value_ens_cnn'] * blast_and_cnn_ensemble['value_blast']\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"ahX0RAesG6Nb\",\n        \"outputId\": \"2c924900-abf4-492a-eba3-9152d9f70440\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble_pr = colab_evaluation.get_pr_curve_df(\\n\",\n        \"    blast_and_cnn_ensemble, ground_truth_df)\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:05<00:00,  5.61s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"JjVIWQabHI9z\"\n      },\n      \"source\": [\n        \"blast_and_cnn_ensemble_pr['method'] = 'Ensemble of BLAST  with  Ensembled-CNN'\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 533\n        },\n        \"id\": \"BXLI2DaoHIRd\",\n        \"outputId\": \"701d88b0-5ef9-4e5f-a8fd-a7107aaeb1c6\"\n      },\n      \"source\": [\n        \"cnn_pr_data['method'] = 'CNN'\\n\",\n        \"ens_cnn_pr_data['method'] = 'Ensembled CNN'\\n\",\n        \"method_comparison = pd.concat([\\n\",\n        \"    cnn_pr_data.drop(index=0),\\n\",\n        \"    ens_cnn_pr_data.drop(index=0),\\n\",\n        \"    blast_pr_data.drop(index=0),\\n\",\n        \"    blast_and_cnn_ensemble_pr.drop(index=0)\\n\",\n        \"],\\n\",\n        \"                              ignore_index=True)\\n\",\n        \"ggplot(method_comparison,\\n\",\n        \"       aes(x=\\\"recall\\\", y=\\\"precision\\\",\\n\",\n        \"           color=\\\"method\\\")) + geom_line() + coord_cartesian(\\n\",\n        \"               xlim=(0.5, 1), ylim=(0.5, 1)) + theme_bw() + labs(\\n\",\n        \"                   x=\\\"Recall\\\", y=\\\"Precision\\\", color=\\\"Method\\\")\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"/usr/local/lib/python3.7/dist-packages/plotnine/utils.py:1246: FutureWarning:\\n\",\n            \"\\n\",\n            \"is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\\n\",\n            \"\\n\"\n          ]\n        },\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"image/png\": \"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\\n\",\n            \"text/plain\": [\n              \"<Figure size 640x480 with 1 Axes>\"\n            ]\n          },\n          \"metadata\": {}\n        },\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"text/plain\": [\n              \"<ggplot: (8741622344077)>\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 56\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 542\n        },\n        \"id\": \"Jo3iGx1XZ8t7\",\n        \"outputId\": \"045bbf17-6fe2-4f86-f8dc-0fd698cad22a\"\n      },\n      \"source\": [\n        \"method_comparison = method_comparison.query(\\\"recall!=1.0\\\")\\n\",\n        \"fig = px.line(method_comparison, x=\\\"recall\\\", y=\\\"precision\\\", color=\\\"method\\\")\\n\",\n        \"fig.update_layout(template=\\\"plotly_white\\\", title=\\\"Precision-recall by method\\\")\\n\",\n        \"fig.update_xaxes(range=(0.5, 1))\\n\",\n        \"fig.update_yaxes(range=(0.5, 1))\\n\",\n        \"fig.show()\\n\",\n        \"json = fig.to_json(pretty=True)\\n\",\n        \"with open(\\\"method.json\\\", \\\"w\\\") as f:\\n\",\n        \"    f.write(json)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"data\": {\n            \"text/html\": [\n              \"<html>\\n\",\n              \"<head><meta charset=\\\"utf-8\\\" /></head>\\n\",\n              \"<body>\\n\",\n              \"    <div>            <script src=\\\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\\\"></script><script type=\\\"text/javascript\\\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \\\"STIX-Web\\\"}});}</script>                <script type=\\\"text/javascript\\\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\\n\",\n              \"        <script src=\\\"https://cdn.plot.ly/plotly-latest.min.js\\\"></script>                <div id=\\\"1c21d3a3-8b02-499d-8bc7-0f40d2bb75b2\\\" class=\\\"plotly-graph-div\\\" style=\\\"height:525px; width:100%;\\\"></div>            <script type=\\\"text/javascript\\\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\\\"1c21d3a3-8b02-499d-8bc7-0f40d2bb75b2\\\")) {                    Plotly.newPlot(                        \\\"1c21d3a3-8b02-499d-8bc7-0f40d2bb75b2\\\",                        [{\\\"hovertemplate\\\": \\\"method=CNN<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"CNN\\\", \\\"line\\\": {\\\"color\\\": \\\"#636efa\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"CNN\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [0.9179492347319244, 0.9178448341885579, 0.9177428521905975, 0.9176420794653403, 0.917540903649182, 0.9174405340148257, 0.9173385520168653, 0.9172381823825091, 0.9171349911118456, 0.9170346214774894, 0.9169342518431332, 0.9168294482088656, 0.9167274662109052, 0.916626290394747, 0.9165255176694896, 0.9164251480351334, 0.9163243753098761, 0.9162236025846189, 0.9161228298593616, 0.9160220571341043, 0.915920478227045, 0.9158201085926887, 0.9157197389583325, 0.9156193693239763, 0.91551899968962, 0.9154186300552638, 0.9153146326027982, 0.915214262968442, 0.9151138933340858, 0.9150135236997295, 0.9149131540653733, 0.9148099627947098, 0.9147063684331453, 0.9146055957078881, 0.9145052260735318, 0.9144048564391756, 0.9143016651685122, 0.9142008924432549, 0.9140993135361956, 0.9139989439018393, 0.9138953495402748, 0.9137945768150175, 0.9136942071806613, 0.9135938375463051, 0.9134930648210478, 0.9133910828230875, 0.9132895039160281, 0.9131887311907708, 0.9130883615564146, 0.9129879919220584, 0.9128864130149991, 0.9127844310170387, 0.9126832552008803, 0.9125828855665241, 0.9124780819322565, 0.9123777122979003, 0.912276536481742, 0.9121729421201775, 0.9120725724858213, 0.911971396669663, 0.9118710270353068, 0.9117702543100494, 0.9116698846756932, 0.911569515041337, 0.9114691454069808, 0.9113683726817234, 0.9112675999564662, 0.9111672303221099, 0.9110656514150506, 0.9109652817806944, 0.9108632997827341, 0.9107629301483777, 0.9106625605140215, 0.9105613846978632, 0.9104598057908039, 0.9103582268837446, 0.9102578572493883, 0.910157487615032, 0.9100571179806758, 0.9099567483463196, 0.9098563787119633, 0.9097560090776071, 0.9096556394432509, 0.9095552698088946, 0.9094549001745383, 0.9093541274492811, 0.9092537578149248, 0.9091533881805686, 0.9090530185462123, 0.9089526489118561, 0.9088522792774999, 0.9087519096431437, 0.9086511369178863, 0.9085507672835301, 0.9084503976491739, 0.9083500280148176, 0.9082488521986594, 0.908148079473402, 0.9080477098390458, 0.9079469371137885, 0.9078356840251045, 0.907731686572639, 0.9076305107564807, 0.9075281256676193, 0.9074257405787579, 0.9073249678535007, 0.9072241951282434, 0.9071206007666789, 0.9070202311323227, 0.9069186522252634, 0.906817879500006, 0.9067175098656498, 0.9066171402312936, 0.9065159644151353, 0.906415594780779, 0.9063124035101155, 0.9062112276939572, 0.9061104549687, 0.9060100853343438, 0.9059093126090865, 0.9058073306111261, 0.9057053486131658, 0.9056049789788095, 0.9055046093444533, 0.905404239710097, 0.9053030638939388, 0.9052006788050774, 0.905100309170721, 0.9049999395363648, 0.9048987637202065, 0.9047979909949493, 0.9046952028151869, 0.9045920115445234, 0.9044912388192662, 0.9043904660940089, 0.9042900964596526, 0.9041897268252964, 0.904087744827336, 0.9039841504657715, 0.9038829746496132, 0.9037809926516529, 0.9036794137445936, 0.9035790441102373, 0.90347827138498, 0.9033779017506238, 0.9032775321162675, 0.9031751470274062, 0.9030747773930499, 0.9029740046677927, 0.9028728288516343, 0.902771653035476, 0.9026704772193177, 0.9025701075849615, 0.9024697379506053, 0.902368159043546, 0.9022677894091896, 0.9021670166839324, 0.9020662439586751, 0.9019658743243189, 0.9018626830536555, 0.9017623134192991, 0.9016611376031409, 0.9015607679687846, 0.9014591890617253, 0.9013584163364681, 0.9012580467021118, 0.9011576770677555, 0.9010573074333993, 0.9009565347081421, 0.9008557619828848, 0.9007541830758254, 0.9006538134414692, 0.900553443807113, 0.9004526710818557, 0.9003514952656974, 0.9002289556317845, 0.9001281829065273, 0.9000237823631607, 0.8999234127288045, 0.8998230430944483, 0.89972186727829, 0.8996210945530326, 0.899515081646062, 0.8994135027390027, 0.8993131331046464, 0.8992127634702902, 0.8991123938359339, 0.8990116211106767, 0.8989100422036174, 0.898807254023855, 0.8987068843894986, 0.8986065147551424, 0.8985053389389841, 0.8984021476683207, 0.8983001656703603, 0.8981981836724, 0.8980925738563303, 0.897990994949271, 0.8978906253149148, 0.8977902556805585, 0.8976878705916971, 0.8975870978664399, 0.8974859220502815, 0.8973851493250243, 0.897283973508866, 0.8971823946018066, 0.8970816218765494, 0.8969772213331828, 0.8968768516988266, 0.896771241882757, 0.8966700660665987, 0.8965672778868362, 0.89646690825248, 0.8963665386181238, 0.8962661689837675, 0.8961657993494113, 0.8960638173514509, 0.8959634477170947, 0.8958630780827385, 0.8957627084483822, 0.8956575017232136, 0.8955559228161543, 0.895455553181798, 0.8953551835474418, 0.8952548139130856, 0.8951540411878283, 0.89505286537167, 0.8949524957373137, 0.8948521261029575, 0.8947509502867992, 0.894650580652443, 0.8945502110180867, 0.8944482290201263, 0.8943478593857701, 0.8942474897514139, 0.8941471201170575, 0.8940463473918003, 0.8939431561211368, 0.8938427864867806, 0.8937424168524244, 0.893640031763563, 0.8935396621292068, 0.8934388894039494, 0.8933381166786922, 0.8932373439534349, 0.8931365712281777, 0.8930362015938215, 0.8929358319594651, 0.8928354623251089, 0.8927350926907527, 0.8926347230563965, 0.8925343534220402, 0.8924295497877727, 0.8923291801534164, 0.8922284074281591, 0.8921280377938029, 0.8920276681594467, 0.8919252830705853, 0.891824510345328, 0.8917221252564665, 0.8916217556221103, 0.8915213859877541, 0.8914210163533979, 0.8913206467190417, 0.8912202770846853, 0.8911191012685271, 0.8910187316341708, 0.8909179589089136, 0.8908175892745573, 0.890716413458399, 0.8906160438240428, 0.8905156741896865, 0.8904153045553302, 0.8903129194664688, 0.8902121467412116, 0.8901117771068554, 0.890009795108895, 0.8899074100200336, 0.8898062342038753, 0.8897058645695191, 0.8896054949351628, 0.8895051253008066, 0.8894047556664504, 0.8893039829411931, 0.8892036133068368, 0.8891032436724806, 0.8890008585836192, 0.8889000858583619, 0.8887997162240057, 0.8886989434987485, 0.8885985738643921, 0.8884978011391349, 0.8883974315047787, 0.8882966587795214, 0.8881962891451651, 0.8880955164199078, 0.8879951467855516, 0.8878947771511954, 0.8877944075168391, 0.8876940378824829, 0.8875928620663246, 0.8874920893410673, 0.88739131661581, 0.8872909469814538, 0.8871905773470975, 0.8870889984400382, 0.8869878226238799, 0.8868850344441175, 0.8867846648097613, 0.8866826828118008, 0.8865823131774446, 0.8864811373612863, 0.8863807677269301, 0.8862783826380687, 0.8861780130037125, 0.8860776433693562, 0.885977273735, 0.8858769041006438, 0.8857765344662875, 0.8856749555592281, 0.8855745859248719, 0.8854742162905157, 0.8853718312016543, 0.885270252294595, 0.8851694795693377, 0.8850691099349814, 0.88496672484612, 0.8848663552117638, 0.8847651793956055, 0.8846648097612493, 0.8845628277632889, 0.8844624581289326, 0.8843616854036754, 0.8842609126784181, 0.8841601399531608, 0.8840597703188046, 0.8839594006844483, 0.88385822486829, 0.8837554366885276, 0.8836502299633591, 0.8835498603290028, 0.8834482814219434, 0.883345896333082, 0.8832447205169238, 0.8831443508825675, 0.8830431750664093, 0.8829359528867355, 0.8828351801614782, 0.8827344074362209, 0.8826340378018647, 0.8825332650766075, 0.8824320892604491, 0.8823313165351918, 0.8822305438099346, 0.8821293679937763, 0.8820221458141025, 0.8819213730888452, 0.8818185849090828, 0.8817182152747266, 0.8816174425494693, 0.8815162667333111, 0.8814158970989547, 0.8813155274645985, 0.8812139485575392, 0.881113578923183, 0.8810120000161237, 0.8809084056545592, 0.8808072298384009, 0.8807040385677374, 0.8806028627515791, 0.8805024931172228, 0.8804021234828666, 0.8803009476667083, 0.8802005780323521, 0.8801002083979959, 0.8799994356727385, 0.8798990660383823, 0.879797890222224, 0.8796967144060657, 0.8795931200445012, 0.8794899287738378, 0.8793883498667785, 0.879284755505214, 0.8791843858708578, 0.8790836131456005, 0.8789832435112442, 0.878882873876888, 0.8787804887880266, 0.8786801191536704, 0.87857813715571, 0.8784777675213538, 0.8783773978869975, 0.8782770282526412, 0.878176658618285, 0.8780762889839288, 0.8779747100768694, 0.8778739373516121, 0.8777735677172559, 0.8776727949919987, 0.8775724253576423, 0.8774720557232861, 0.8773716860889299, 0.8772713164545737, 0.8771709468202175, 0.8770705771858612, 0.8769698044606039, 0.8768690317353467, 0.8767686621009904, 0.8766682924666341, 0.8765667135595748, 0.8764651346525155, 0.8763643619272582, 0.8762579459293866, 0.8761563670223272, 0.8760559973879709, 0.8759556277536147, 0.8758552581192585, 0.8757540823031001, 0.8756500848506347, 0.8755497152162784, 0.875447330127417, 0.8753465574021597, 0.8752457846769025, 0.8751454150425463, 0.87504504540819, 0.8749442726829327, 0.8748430968667744, 0.874740711777913, 0.8746399390526558, 0.8745387632364975, 0.8744383936021413, 0.8743380239677849, 0.8742376543334287, 0.8741368816081715, 0.8740353027011122, 0.8739349330667558, 0.8738341603414986, 0.8737337907071424, 0.8736330179818851, 0.8735318421657268, 0.8734314725313705, 0.873328281260707, 0.8732275085354498, 0.8731271389010936, 0.8730263661758363, 0.8729255934505791, 0.8728252238162229, 0.8727236449091634, 0.8726228721839062, 0.87252250254955, 0.8724213267333917, 0.8723209570990355, 0.872217362737471, 0.8721165900122136, 0.8720158172869564, 0.871913835288996, 0.8718130625637387, 0.8717126929293825, 0.8716123232950262, 0.871511550569769, 0.8714107778445117, 0.8713104082101555, 0.8712088293030962, 0.8711076534869379, 0.8710072838525816, 0.8709069142182253, 0.8708061414929681, 0.8707057718586119, 0.8706054022242556, 0.8705050325898993, 0.8704042598646421, 0.8703034871393848, 0.8702031175050285, 0.8701027478706723, 0.870001572054514, 0.8698971715111474, 0.8697968018767912, 0.869696432242435, 0.8695956595171778, 0.8694940806101183, 0.86939290479396, 0.8692921320687028, 0.8691905531616435, 0.8690901835272873, 0.868989813892931, 0.8688866226222676, 0.8687862529879113, 0.868685883353555, 0.8685851106282978, 0.8684799039031292, 0.8683791311778719, 0.8682787615435157, 0.8681771826364564, 0.8680768130021002, 0.8679764433677438, 0.8678760737333876, 0.8677757040990314, 0.8676753344646752, 0.8675745617394178, 0.8674741921050616, 0.8673738224707054, 0.867271034290943, 0.8671706646565867, 0.8670702950222304, 0.8669699253878742, 0.8668683464808149, 0.8667663644828545, 0.8666655917575973, 0.866565222123241, 0.8664648524888847, 0.8663644828545285, 0.8662641132201723, 0.8661633404949151, 0.8660621646787567, 0.8659617950444005, 0.8658614254100442, 0.865761055775688, 0.8656606861413317, 0.8655603165069755, 0.8654555128727079, 0.8653547401474506, 0.8652539674221934, 0.8651535977878372, 0.8650528250625799, 0.8649520523373226, 0.8648516827029663, 0.864750103795907, 0.8646497341615508, 0.8645493645271946, 0.8644489948928383, 0.864348625258482, 0.8642482556241258, 0.8641462736261655, 0.8640459039918091, 0.8639455343574529, 0.8638399245413834, 0.863737539452522, 0.8636367667272646, 0.8635327692747992, 0.8634323996404429, 0.8633320300060867, 0.8632312572808294, 0.8631292752828691, 0.8630289056485128, 0.8629277298323544, 0.8628269571070972, 0.8627257812909389, 0.8626250085656817, 0.8625242358404244, 0.8624238662060681, 0.8623234965717119, 0.8622227238464546, 0.8621203387575932, 0.862019566032336, 0.8619191963979798, 0.8618188267636234, 0.8617184571292672, 0.8616156689495048, 0.8615148962242475, 0.8614117049535841, 0.8613105291374258, 0.8612101595030696, 0.8611097898687133, 0.861009420234357, 0.8609090506000008, 0.8608086809656446, 0.8607079082403873, 0.8606055231515259, 0.8605051535171696, 0.8604047838828134, 0.8602967555213377, 0.8601963858869813, 0.8600960162526251, 0.8599948404364668, 0.8598900368021992, 0.8597872486224368, 0.8596848635335754, 0.8595844938992192, 0.859483721173962, 0.8593833515396057, 0.8592821757234475, 0.859180596816388, 0.8590802271820318, 0.8589798575476756, 0.8588790848224183, 0.858778715188062, 0.8586783455537058, 0.8585779759193496, 0.8584763970122903, 0.8583736088325278, 0.8582720299254685, 0.8581696448366071, 0.8580692752022508, 0.8579664870224885, 0.8578653112063301, 0.8577645384810728, 0.8576633626649146, 0.8575625899396573, 0.8574602048507959, 0.8573598352164397, 0.8572586594002813, 0.857157483584123, 0.8570555015861627, 0.8569478763155879, 0.8568475066812317, 0.8567467339559744, 0.8566463643216181, 0.8565455915963609, 0.8564424003256974, 0.8563420306913412, 0.856241257966084, 0.8561396790590245, 0.8560393094246683, 0.8559365212449059, 0.8558361516105497, 0.8557353788852924, 0.8556333968873321, 0.8555330272529759, 0.8554322545277185, 0.8553318848933623, 0.8552286936226988, 0.8551283239883426, 0.8550279543539864, 0.854927181628729, 0.8548268119943728, 0.8547207990874022, 0.854620429453046, 0.8545200598186897, 0.8544196901843335, 0.8543193205499773, 0.854218950915621, 0.8541185812812647, 0.8540182116469085, 0.8539158265580471, 0.8538154569236909, 0.8537150872893347, 0.8536135083822752, 0.853513138747919, 0.8534107536590576, 0.8533095778428994, 0.8532088051176421, 0.8531064200287807, 0.8530060503944245, 0.8529032622146621, 0.8528024894894047, 0.8526964765824341, 0.8525957038571769, 0.8524953342228205, 0.8523949645884643, 0.8522945949541081, 0.8521942253197519, 0.8520938556853956, 0.8519934860510394, 0.8518931164166831, 0.8517927467823269, 0.8516923771479706, 0.8515907982409113, 0.8514904286065551, 0.8513888496994957, 0.8512884800651395, 0.8511881104307832, 0.8510816944329116, 0.8509813247985554, 0.850879745891496, 0.8507793762571397, 0.850671750986565, 0.8505713813522088, 0.8504710117178524, 0.8503694328107931, 0.8502686600855359, 0.8501682904511797, 0.8500667115441203, 0.84996472954616, 0.8498631506391007, 0.8497627810047443, 0.8496624113703881, 0.8495620417360319, 0.8494616721016757, 0.8493613024673194, 0.8492605297420621, 0.8491589508350028, 0.8490585812006466, 0.8489582115662904, 0.8488526017502207, 0.8487514259340624, 0.8486510562997062, 0.8485502835744488, 0.8484487046673895, 0.8483483350330333, 0.848246756125974, 0.8481463864916178, 0.8480456137663605, 0.8479444379502021, 0.8478440683158459, 0.8477436986814897, 0.8476433290471335, 0.8475429594127771, 0.8474425897784209, 0.8473410108713616, 0.8472398350552033, 0.8471390623299461, 0.8470386926955897, 0.8469383230612335, 0.8468375503359763, 0.846736777610719, 0.8466360048854618, 0.8465328136147983, 0.8464304285259369, 0.8463300588915806, 0.8462288830754223, 0.8461281103501651, 0.8460273376249078, 0.8459269679905516, 0.8458265983561953, 0.845725825630938, 0.8456254559965818, 0.8455250863622256, 0.8454235074551663, 0.8453223316390079, 0.8452207527319486, 0.8451191738248892, 0.8450179980087309, 0.8449164191016716, 0.8448156463764144, 0.8447152767420582, 0.8446141009258998, 0.8445137312915435, 0.8444129585662863, 0.8443089611138208, 0.8442081883885635, 0.8441074156633063, 0.8440070460289499, 0.8439062733036927, 0.8438050974875344, 0.8437047278531782, 0.8436039551279209, 0.8435035854935646, 0.8433999911320001, 0.8432976060431387, 0.8431972364087825, 0.8430940451381191, 0.8429928693219608, 0.8428924996876046, 0.8427921300532483, 0.842691760418892, 0.8425913907845358, 0.8424894087865754, 0.8423878298795161, 0.8422870571542589, 0.8421858813381006, 0.8420855117037443, 0.841985142069388, 0.8418847724350318, 0.8417844028006756, 0.8416828238936163, 0.8415816480774579, 0.8414800691703986, 0.8413796995360424, 0.8412789268107851, 0.8411785571764289, 0.8410781875420726, 0.8409778179077164, 0.840875835909756, 0.8407738539117956, 0.8406734842774394, 0.8405731146430832, 0.8404727450087269, 0.8403723753743707, 0.8402639439219939, 0.8401635742876377, 0.8400628015623803, 0.839962028837123, 0.8398616592027668, 0.8397612895684106, 0.8396609199340543, 0.839558131754292, 0.8394573590290346, 0.8393569893946784, 0.8392566197603222, 0.8391554439441639, 0.8390550743098076, 0.8389434181302226, 0.8388402268595591, 0.8387394541343018, 0.8386386814090445, 0.8385383117746883, 0.8384375390494311, 0.8383367663241738, 0.8382363966898175, 0.8381360270554613, 0.8380356574211051, 0.8379348846958478, 0.8378345150614915, 0.8377341454271353, 0.837632969610977, 0.8375321968857197, 0.8374314241604625, 0.8373290390716011, 0.8372286694372448, 0.8371262843483834, 0.8370259147140272, 0.8369255450796709, 0.8368247723544137, 0.8367244027200574, 0.8366236299948001, 0.8365232603604439, 0.8364228907260877, 0.8363225210917314, 0.836220942184672, 0.8361153323686025, 0.8360149627342462, 0.8359145930998899, 0.8358142234655337, 0.8357138538311775, 0.8356130811059201, 0.8355127114715639, 0.8354123418372077, 0.8353115691119505, 0.8352111994775941, 0.8351104267523369, 0.8350096540270796, 0.8349084782109213, 0.8348081085765651, 0.8347069327604068, 0.8346057569442485, 0.8345049842189912, 0.834404614584635, 0.8343026325866746, 0.8342022629523184, 0.8341018933179621, 0.8340015236836059, 0.8339011540492497, 0.8338003813239924, 0.8337000116896361, 0.8335984327825768, 0.8334980631482205, 0.8333976935138643, 0.8332969207886071, 0.8331965511542508, 0.8330961815198945, 0.8329958118855383, 0.8328954422511821, 0.8327950726168258, 0.8326934937097665, 0.8325931240754102, 0.832492351350153, 0.8323915786248957, 0.8322912089905394, 0.8321904362652822, 0.8320896635400249, 0.8319884877238666, 0.8318877149986094, 0.831786539182451, 0.8316853633662927, 0.8315849937319365, 0.8314846240975803, 0.831384254463224, 0.8312838848288677, 0.8311819028309074, 0.8310811301056501, 0.8309799542894918, 0.8308787784733335, 0.8307776026571753, 0.8306768299319179, 0.8305764602975617, 0.8304760906632055, 0.8303753179379482, 0.8302588246675507, 0.8301584550331945, 0.8300572792170362, 0.82995690958268, 0.8298565399483238, 0.8297400466779263, 0.8296392739526691, 0.8295316486820943, 0.829430069775035, 0.8293297001406787, 0.8292281212336194, 0.8291213021448467, 0.8290209325104905, 0.8289205628761342, 0.8288201932417779, 0.8287194205165207, 0.8286190508821645, 0.8285186812478081, 0.8284183116134519, 0.8283171357972936, 0.8282167661629374, 0.8281163965285812, 0.8280160268942249, 0.8279140448962645, 0.8278136752619083, 0.82771249944575, 0.8276113236295917, 0.8275109539952354, 0.827408165815473, 0.8273077961811168, 0.8272070234558595, 0.8271066538215033, 0.8270062841871471, 0.8269059145527908, 0.8268051418275335, 0.8267043691022763, 0.826603596377019, 0.8265032267426627, 0.8264028571083065, 0.8263016812921482, 0.8262005054759899, 0.8260940894781182, 0.8259925105710588, 0.8258905285730985, 0.8257901589387423, 0.825689386213485, 0.8255886134882278, 0.8254882438538715, 0.8253878742195152, 0.8252866984033569, 0.8251863287690007, 0.8250859591346444, 0.82498236477308, 0.8248815920478227, 0.8247808193225654, 0.8246804496882092, 0.8245764522357437, 0.8244752764195854, 0.8243741006034271, 0.8242737309690709, 0.8241733613347146, 0.8240729917003583, 0.8239718158842001, 0.8238714462498438, 0.8237710766154875, 0.8236703038902303, 0.823569531164973, 0.8234691615306168, 0.8233683888053595, 0.8232676160801022, 0.823167246445746, 0.8230668768113898, 0.8229612669953201, 0.8228600911791618, 0.8227597215448056, 0.8226593519104494, 0.822557369912489, 0.8224561940963306, 0.8223542120983703, 0.822253842464014, 0.8221530697387568, 0.8220506846498954, 0.8219499119246382, 0.8218495422902818, 0.8217487695650246, 0.8216475937488663, 0.821546417932708, 0.8214456452074508, 0.8213432601185894, 0.8212420843024311, 0.8211417146680748, 0.8210413450337185, 0.8209405723084613, 0.8208402026741051, 0.8207398330397488, 0.8206394634053925, 0.8205390937710363, 0.8204330808640656, 0.8203327112297094, 0.8202323415953532, 0.820131971960997, 0.8200316023266406, 0.8199312326922844, 0.8198308630579282, 0.8197292841508689, 0.8196289145165127, 0.8195281417912553, 0.8194277721568991, 0.8193274025225429, 0.8192270328881867, 0.8191254539811272, 0.8190210534377608, 0.8189190714398004, 0.818817492532741, 0.8187163167165827, 0.8186159470822265, 0.8185143681751672, 0.8184111769045037, 0.8183108072701475, 0.8182104376357913, 0.818110068001435, 0.8180088921852767, 0.8179065070964153, 0.8178041220075539, 0.8177037523731977, 0.8176033827388415, 0.8175030131044851, 0.8174026434701289, 0.8173002583812675, 0.8171998887469113, 0.8170995191125551, 0.8169991494781988, 0.8168983767529415, 0.8167980071185853, 0.8166976374842291, 0.8165968647589718, 0.8164964951246155, 0.8163957223993583, 0.816294949674101, 0.8161929676761407, 0.8160925980417844, 0.8159914222256262, 0.8158910525912698, 0.8157906829569136, 0.8156878947771512, 0.815587525142795, 0.8154867524175377, 0.8153859796922804, 0.8152856100579242, 0.8151852404235679, 0.8150848707892117, 0.8149840980639544, 0.8148833253386971, 0.8147829557043409, 0.8146825860699847, 0.8145822164356284, 0.8144814437103711, 0.8143810740760149, 0.8142803013507576, 0.8141799317164014, 0.8140795620820451, 0.8139787893567878, 0.8138780166315306, 0.8137776469971744, 0.8136772773628181, 0.8135728768194516, 0.8134712979123923, 0.813369719005333, 0.8132693493709766, 0.8131665611912142, 0.813065788465957, 0.8129650157406997, 0.8128622275609373, 0.8127598424720759, 0.8126578604741155, 0.8125574908397593, 0.8124490593873824, 0.8123482866621252, 0.8122471108459669, 0.8121463381207096, 0.8120439530318482, 0.8119415679429868, 0.8118411983086306, 0.8117408286742743, 0.8116404590399181, 0.8115388801328588, 0.8114385104985025, 0.8113365285005422, 0.8112353526843838, 0.8111329675955224, 0.8110325979611662, 0.8109310190541069, 0.8108282308743445, 0.8107278612399882, 0.8106266854238299, 0.8105230910622655, 0.8104223183370082, 0.8103211425208499, 0.8102207728864936, 0.8101200001612363, 0.8100196305268801, 0.8099188578016229, 0.8098164727127615, 0.8097161030784052, 0.8096149272622469, 0.8095145576278907, 0.8094137849026334, 0.8093130121773762, 0.8092126425430198, 0.8091102574541584, 0.8090098878198022, 0.808909115094545, 0.8088083423692877, 0.8087067634622284, 0.80860558764607, 0.8085052180117138, 0.8084044452864565, 0.8083032694702983, 0.808202899835942, 0.8081025302015857, 0.8080021605672295, 0.8079017909328733, 0.807801018207616, 0.8076998423914576, 0.8075994727571014, 0.8074987000318442, 0.8073959118520818, 0.8072915113087152, 0.8071895293107548, 0.8070891596763986, 0.8069875807693393, 0.806886808044082, 0.8067856322279238, 0.8066852625935674, 0.8065848929592112, 0.806484523324855, 0.8063841536904988, 0.8062833809652414, 0.8061826082399842, 0.806082238605628, 0.8059814658803707, 0.8058806931551135, 0.805779114248054, 0.8056779384318957, 0.8055755533430344, 0.8054743775268761, 0.8053740078925199, 0.8052724289854605, 0.8051712531693022, 0.8050708835349459, 0.8049705139005897, 0.8048697411753325, 0.8047685653591742, 0.8046673895430159, 0.8045621828178473, 0.804461813183491, 0.8043610404582338, 0.8042558337330652, 0.8041494177351934, 0.8040490481008372, 0.8039478722846789, 0.8038470995594217, 0.8037463268341644, 0.8036455541089071, 0.8035451844745508, 0.8034448148401946, 0.8033436390240363, 0.803241657026076, 0.8031408843008186, 0.8030389023028583, 0.8029385326685021, 0.8028377599432448, 0.8027353748543834, 0.8026346021291262, 0.8025338294038689, 0.8024326535877105, 0.8023318808624533, 0.8022298988644929, 0.8021283199574336, 0.8020263379594732, 0.8019239528706118, 0.8018235832362556, 0.8017199888746911, 0.8016196192403349, 0.8015192496059786, 0.8014180737898203, 0.8013177041554641, 0.8012161252484048, 0.8011153525231475, 0.8010145797978903, 0.8009134039817319, 0.8008130343473757, 0.8007126647130194, 0.8006118919877622, 0.8005111192625048, 0.8004107496281486, 0.8003103799937924, 0.800207994904931, 0.8001076252705748, 0.8000068525453174, 0.7999048705473571, 0.7998036947311988, 0.7997033250968426, 0.7996029554624864, 0.7995017796463281, 0.7994014100119718, 0.7993010403776155, 0.7991905934707336, 0.7990902238363773, 0.7989870325657139, 0.7988830351132484, 0.7987826654788921, 0.7986822958445359, 0.7985819262101796, 0.7984811534849224, 0.798379171486962, 0.7982767863981006, 0.7981723858547342, 0.7980716131294768, 0.7979700342224175, 0.7978684553153582, 0.7977676825901009, 0.7976673129557447, 0.7975669433213884, 0.797464558232527, 0.7973637855072697, 0.7972634158729135, 0.7971630462385573, 0.7970598549678938, 0.7969590822426366, 0.7968583095173792, 0.796757939883023, 0.7966575702486668, 0.7965572006143106, 0.7964536062527461, 0.7963532366183899, 0.7962524638931325, 0.7961520942587763, 0.7960517246244201, 0.7959513549900639, 0.7958497760830044, 0.7957481971759451, 0.7956470213597868, 0.7955466517254306, 0.7954462820910744, 0.7953459124567182, 0.7952455428223618, 0.7951451731880056, 0.7950448035536494, 0.794942015373887, 0.7948416457395308, 0.7947388575597683, 0.79463768174361, 0.7945373121092537, 0.7944369424748975, 0.7943361697496403, 0.7942345908425809, 0.7941322057537196, 0.7940314330284622, 0.7939298541214029, 0.7938278721234425, 0.7937270993981853, 0.793626326672928, 0.7935223292204625, 0.7934155101316898, 0.7933139312246305, 0.7932119492266702, 0.7931111765014128, 0.7930083883216504, 0.7929076155963931, 0.7928072459620369, 0.7927028454186703, 0.792601266511611, 0.7924992845136507, 0.7923989148792945, 0.792295723608631, 0.7921953539742748, 0.7920937750672155, 0.7919934054328591, 0.7918918265257998, 0.7917914568914436, 0.7916854439844729, 0.7915842681683146, 0.7914838985339584, 0.7913831258087011, 0.7912811438107408, 0.7911807741763845, 0.7910804045420283, 0.790979631816771, 0.7908772467279096, 0.7907764740026524, 0.7906752981864941, 0.7905725100067316, 0.7904721403723753, 0.790370158374415, 0.7902693856491577, 0.7901690160148015, 0.790065018562336, 0.7899642458370787, 0.7898638762027225, 0.7897635065683662, 0.7896619276613069, 0.7895611549360496, 0.7894595760289903, 0.789358803303733, 0.7892584336693768, 0.7891576609441195, 0.7890552758552581, 0.7889545031300008, 0.7888533273138425, 0.7887529576794863, 0.7886497664088229, 0.7885481875017635, 0.7884474147765063, 0.7883466420512489, 0.7882458693259917, 0.7881454996916355, 0.7880443238754772, 0.7879427449684179, 0.7878411660613585, 0.7877395871542991, 0.7876380082472398, 0.7875364293401805, 0.7874360597058243, 0.787335690071468, 0.7872353204371118, 0.7871329353482504, 0.7870325657138941, 0.7869269558978245, 0.7868265862634682, 0.7867242011746068, 0.7866238315402506, 0.7865226557240923, 0.786421479907934, 0.7863199010008747, 0.7861945397306547, 0.7860925577326943, 0.785991785007437, 0.7858873844640705, 0.785783387011605, 0.7856826142863477, 0.7855822446519914, 0.7854810688358331, 0.7853802961105759, 0.7852795233853186, 0.7851783475691603, 0.7850775748439031, 0.7849768021186457, 0.7848760293933885, 0.7847748535772302, 0.784674483942874, 0.7845741143085178, 0.7844729384923594, 0.784370553403498, 0.7842472075877831, 0.7841424039535155, 0.7840416312282583, 0.783940858503001, 0.7838396826868427, 0.7837381037797834, 0.7836333001455158, 0.7835288996021493, 0.7834257083314858, 0.7833245325153275, 0.7832225505173672, 0.7831221808830109, 0.7830197957941495, 0.7829190230688923, 0.782818653434536, 0.7827130436184664, 0.7826094492569019, 0.7825086765316447, 0.7824062914427833, 0.7823039063539219, 0.7821974903560502, 0.7820971207216939, 0.7819967510873377, 0.7818963814529815, 0.781794399455021, 0.7816940298206648, 0.7815936601863086, 0.7814932905519524, 0.7813929209175962, 0.7812748152835945, 0.7811740425583373, 0.78107326983308, 0.7809729001987238, 0.7808705151098624, 0.7807701454755062, 0.7806673572957438, 0.7805649722068824, 0.7804629902089221, 0.7803626205745657, 0.7802606385766054, 0.780158656578645, 0.7800502251262682, 0.7799446153101987, 0.7798434394940403, 0.7797418605869809, 0.7796414909526247, 0.7795395089546644, 0.7794359145930999, 0.7793274831407231, 0.7792259042336638, 0.7791255345993074, 0.779022746419545, 0.7789191520579806, 0.7788163638782182, 0.7787151880620599, 0.7786128029731985, 0.7785079993389309, 0.7784019864319602, 0.7782983920703958, 0.7781956038906334, 0.7780936218926731, 0.7779924460765147, 0.7778920764421585, 0.7777917068078022, 0.777690530991644, 0.7775877428118815, 0.7774873731775253, 0.777386600452268, 0.7772834091816045, 0.7771814271836441, 0.7770766235493766, 0.7769746415514163, 0.77687427191706, 0.7767690651918914, 0.7766686955575351, 0.7765679228322779, 0.7764635222889114, 0.776360734109149, 0.7762603644747927, 0.7761563670223272, 0.776055191206169, 0.7759532092082085, 0.7758508241193471, 0.7757484390304857, 0.7756468601234264, 0.7755460873981692, 0.7754392683093965, 0.775336077038733, 0.7752357074043768, 0.7751349346791195, 0.7750337588629612, 0.7749329861377039, 0.7748289886852384, 0.774726200505476, 0.7746254277802187, 0.7745234457822584, 0.7744206576024959, 0.7743190786954366, 0.7742174997883773, 0.7741094714269015, 0.774005877065337, 0.7739026857946736, 0.773798285251307, 0.7736942877988415, 0.7735886779827719, 0.7734862928939105, 0.7733810861687419, 0.7732766856253753, 0.773174300536514, 0.7730715123567515, 0.7729691272678901, 0.7728675483608308, 0.7727663725446725, 0.7726651967285142, 0.772564827094158, 0.7724616358234946, 0.7723580414619301, 0.7722548501912666, 0.7721427909207805, 0.7720367780138099, 0.7719356021976516, 0.771830395472483, 0.7717219640201062, 0.77162159438575, 0.7715175969332845, 0.7714152118444231, 0.7713132298464627, 0.7712108447576013, 0.771110072032344, 0.7710084931252846, 0.7709073173091264, 0.7707976765840465, 0.770694888404284, 0.7705884724064124, 0.770486490408452, 0.7703857176831947, 0.7702853480488385, 0.770181753687274, 0.7700761438712044, 0.7699705340551348, 0.7698657304208673, 0.7697625391502038, 0.7696613633340454, 0.769557768972481, 0.7694521591564114, 0.7693513864311541, 0.7692506137058969, 0.7691405698899159, 0.7690345569829452, 0.7689293502577766, 0.7688269651689152, 0.7687257893527569, 0.7686242104456976, 0.768517794447826, 0.7684117815408553, 0.7683057686338847, 0.7681989495451119, 0.7680937428199434, 0.7679909546401809, 0.7678869571877154, 0.767784572098854, 0.7676813808281906, 0.767576980284824, 0.7674754013777647, 0.7673730162889033, 0.7672698250182398, 0.7671670368384774, 0.7670654579314181, 0.7669550110245361, 0.7668522228447737, 0.7667441944832979, 0.7666406001217334, 0.7665329748511587, 0.7664277681259901, 0.7663257861280297, 0.7662242072209704, 0.766121822132109, 0.7660202432250497, 0.7659194704997924, 0.765817085410931, 0.7657151034129707, 0.7656102997787031, 0.7655038837808315, 0.7653946461466525, 0.765289439421484, 0.7651846357872164, 0.7650830568801571, 0.7649782532458895, 0.7648653877936014, 0.764764615068344, 0.7646630361612847, 0.7645610541633243, 0.7644562505290569, 0.7643530592583934, 0.7642526896240371, 0.7641507076260767, 0.7640438885373041, 0.7639419065393437, 0.7638383121777792, 0.7637318961799076, 0.7636303172728482, 0.7635186610932632, 0.7634182914589069, 0.7633155032791444, 0.763212312008481, 0.7631099269196197, 0.7630083480125603, 0.7629027381964907, 0.7627983376531241, 0.7626818443827268, 0.7625810716574695, 0.7624750587504988, 0.7623690458435282, 0.7622610174820523, 0.762144927302556, 0.7620409298500905, 0.7619329014886147, 0.7618321287633574, 0.761729340583595, 0.7616273585856347, 0.761521345678664, 0.7614100925899799, 0.7613060951375145, 0.7612012915032469, 0.7611005187779897, 0.7609876533257015, 0.7608792218733247, 0.760774015148156, 0.7606712269683936, 0.7605684387886312, 0.7604668598815719, 0.7603584284291951, 0.7602447567951048, 0.7601439840698476, 0.7600403897082831, 0.7599355860740156, 0.7598263484398367, 0.7597175138965588, 0.7596151288076974, 0.7595091159007268, 0.7594075369936675, 0.7593059580866081, 0.7591995420887364, 0.759096350818073, 0.7589911440929044, 0.7588819064587256, 0.758779118278963, 0.7586751208264976, 0.7585719295558342, 0.7584695444669728, 0.7583574851964867, 0.7582563093803284, 0.7581353821100196, 0.7580321908393561, 0.7579294026595937, 0.7578044444802747, 0.7576887573916794, 0.7575847599392139, 0.7574775377595402, 0.7573703155798664, 0.7572554346730731, 0.757142972311686, 0.7570405872228246, 0.7569386052248642, 0.756837832499607, 0.7567229515928137, 0.7566217757766553, 0.7564972206882374, 0.7563916108721678, 0.756284791783395, 0.7561820036036326, 0.7560663165150373, 0.7559534510627491, 0.7558490505193827, 0.7557462623396202, 0.7556414587053526, 0.7555334303438769, 0.7554326576186196, 0.7553230168935396, 0.7552214379864803, 0.7551170374431138, 0.7550086059907369, 0.7548876787204283, 0.7547764256317442, 0.7546708158156746, 0.7545700430904173, 0.7544535498200199, 0.7543459245494452, 0.7542314467335529, 0.7541262400083842, 0.7540226456468199, 0.7539206636488595, 0.7538077981965713, 0.7537025914714027, 0.7535804549283909, 0.7534647678397955, 0.7533523054784085, 0.7532333936626049, 0.7531273807556342, 0.7530266080303769, 0.7529109209417816, 0.7528012802167017, 0.7527005074914443, 0.752598525493484, 0.7524949311319196, 0.7523925460430582, 0.7522768589544628, 0.7521333585936965, 0.7520265395049237, 0.7519144802344376, 0.7517915375096238, 0.751684718420851, 0.7515666127868496, 0.7514315773350048, 0.7513287891552424, 0.7512143113393501, 0.7511074922505774, 0.7510002700709036, 0.7508853891641104, 0.75078340716615, 0.7506830375317938, 0.7505584824433758, 0.7504468262637908, 0.7503432319022263, 0.750241652995167, 0.7501142762704417, 0.7499957675455392, 0.7498893515476676, 0.7497660057319526, 0.749645884643446, 0.7495342284638609, 0.7494338588295046, 0.7493318768315442, 0.749203290834116, 0.7490992933816505, 0.7489646610207068, 0.7488521986593196, 0.7487336899344171, 0.7486309017546547, 0.7485160208478614, 0.7484079924863856, 0.7482963363068006, 0.7481834708545124, 0.7480822950383541, 0.7479791037676906, 0.7478509208611634, 0.7477441017723907, 0.7476183374112696, 0.7474772555959094, 0.7473732581434439, 0.7472591834184527, 0.7471563952386903, 0.7470201505141424, 0.7469157499707759, 0.7468153803364197, 0.7467037241568346, 0.7465751381594063, 0.7464687221615346, 0.7463590814364547, 0.7462224336210058, 0.7460837703510519, 0.7459813852621905, 0.7458741630825168, 0.7457580729030203, 0.7456254559965818, 0.7455069472716792, 0.7453775550924489, 0.7452457443678124, 0.745115142915879, 0.7450059052817001, 0.7448603894664286, 0.7447305941962972, 0.7446120854713947, 0.7444883365647788, 0.7443601536582515, 0.7442210872973964, 0.7441106403905144, 0.7439872945747996, 0.7438615302136785, 0.7437406029433697, 0.7436398302181125, 0.7435265616749233, 0.7434128900408331, 0.7432927689523264, 0.7431811127727413, 0.7430718751385625, 0.7429303902323013, 0.7427993856894668, 0.7426707996920385, 0.7425148035133403, 0.7423676753344647, 0.7422451357005518, 0.742136704248175, 0.7420314975230065, 0.7418879971622401, 0.7417606204375149, 0.741622763349363, 0.7415127195333819, 0.7414054973537082, 0.7412757020835768, 0.7411217213593837, 0.7410024064526791, 0.7409004244547188, 0.7407383819125051, 0.7406343844600396, 0.7405247437349597, 0.7403889021013129, 0.7402695871946082, 0.7401676051966479, 0.7400285388357929, 0.7398802013842142, 0.7397334762962395, 0.7396290757528731, 0.7394839630285026, 0.7393263544862002, 0.739199380852376, 0.7390292764921418, 0.7389285037668845, 0.73879749922405, 0.7386294103183209, 0.7385088861389132, 0.7383718352325633, 0.7382521172349576, 0.7381473136006901, 0.7380408976028184, 0.7379070714236767, 0.7378034770621122, 0.7376950456097354, 0.737549529794464, 0.7374451292510974, 0.7373358916169185, 0.7372218168919273, 0.737065820713229, 0.7369235296251657, 0.7368195321727002, 0.7367034419932039, 0.7365321283602665, 0.7364176505443742, 0.7363116376374036, 0.7361548352769033, 0.736052853278943, 0.7359226549179105, 0.7357985029203936, 0.7356969240133342, 0.7355800276520358, 0.7354687745633518, 0.7353458318385379, 0.7352277262045364, 0.7350580249352031, 0.7349346791194883, 0.7348326971215279, 0.7346992740332873, 0.7345807653083847, 0.7344703184015027, 0.7343171438591116, 0.73421072786124, 0.7340986685907539, 0.7339559744117896, 0.7338144895055284, 0.7337129105984691, 0.7335774720557233, 0.7334428396947795, 0.7333174784245595, 0.7331808306091107, 0.733046601339068, 0.7329043102510047, 0.7327668562537538, 0.7326402857108306, 0.7325245986222353, 0.732354494262001, 0.7322214742646614, 0.7320259751776623, 0.7318949706348279, 0.7317409899106347, 0.7315870091864416, 0.7313999750083642, 0.7312754199199462, 0.7311270824683674, 0.7309799542894918, 0.7308283921107049, 0.7306603032049758, 0.7304764937541065, 0.7303342026660432, 0.7301536179423822, 0.7299952032182777, 0.7298375946759754, 0.7296453203161845, 0.7294078997754784, 0.7292724612327326, 0.7290745436003273, 0.7289104856036085, 0.7287202266983227, 0.7286085705187377, 0.7284654732488723, 0.728294965797737, 0.7280893894382122, 0.7278874408967967, 0.727726204536385, 0.7275016829045118, 0.7272944941813828, 0.7270760189130251, 0.726853915826558, 0.7266273787401797, 0.7263710129271252, 0.7261682582039075, 0.7259211634815768, 0.7257055098495262, 0.7254406791275501, 0.7252101111321614, 0.7249900235001995, 0.7247630833229202, 0.7245313060548284, 0.7242950947868254, 0.7240568680643172, 0.723819850614512, 0.723541717892802, 0.7232535078985662, 0.7229673133588356, 0.7226690260920741, 0.7224416828238936, 0.7220643897405303, 0.7217785982917008, 0.7216524308396787, 0.7214420173893414, 0.7213327797551626, 0.7210776232148112, 0.7207398330397488, 0.7206269675874607, 0.720409298500905, 0.7200428888718695, 0.7197014708786978, 0.7193423168858809, 0.7191980103433125, 0.7188952890766397, 0.7187707339882217, 0.7184680127215488, 0.7180645187296187, 0.7176618309194907, 0.7175118811043079, 0.717223671110072, 0.7170737212948892, 0.7166948158479218, 0.7165077816698444, 0.716155883313246, 0.7160031118617559, 0.7156536320505638, 0.7155298831439478, 0.7151328386064342, 0.7150070742453131, 0.7146164791622158, 0.7145088538916411, 0.7140944764453832, 0.7134926617301468, 0.7133394871877557, 0.7128614213791352, 0.7127336415635089, 0.7122979002994966, 0.7121338423027777, 0.7116311879491944, 0.7114264177714716, 0.7109003841456287, 0.7107451941487325, 0.7100680014350036, 0.7098983001656703, 0.7092618196329454, 0.7090691421822535, 0.7084890943756726, 0.7082557047439768, 0.70770467948227, 0.707480964032199, 0.7067799889553094, 0.7064873449611622, 0.705666651886667, 0.7053824728014415, 0.7044730997287199, 0.7041260384629338, 0.7032033633904782, 0.7028732319425354, 0.7018904963258265, 0.7017361125107323, 0.7005095068989008, 0.6998254616398544, 0.6985847478464868, 0.698434798031304, 0.6968587126082803, 0.6960553524425294, 0.6945030493826663, 0.6940818193910909, 0.6917305901653882, 0.6913133910828231, 0.6886445262271095, 0.6876706586102231, 0.6843117021319478, 0.6829536888863807, 0.6774922102683376, 0.6759636895716353, 0.6739385608848651], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.7104924235806226, 0.7112664133573399, 0.7120263298790587, 0.7127162320475822, 0.7135830961790096, 0.7142737440423942, 0.7148262877647585, 0.7153981607557683, 0.7162255790622498, 0.7169246642124284, 0.7175897271859477, 0.718307363817552, 0.7190524579839106, 0.719732236113309, 0.7203318334762648, 0.7212146378818861, 0.7220157727404104, 0.7226600689215109, 0.7233742623014476, 0.7240016719776169, 0.7245762941567194, 0.7252466627233404, 0.7258439682049768, 0.7265492734974254, 0.7272530786420578, 0.727772009434446, 0.7282779306199763, 0.7290035392371135, 0.7297129287490389, 0.7304887306480228, 0.7311266708692401, 0.7317126486848287, 0.7323672061986363, 0.7331160568946766, 0.7336820540350003, 0.7343980917484891, 0.7350412366122786, 0.7356728052286496, 0.736446746137651, 0.7370387080249169, 0.7378079814846634, 0.7385647148895966, 0.7392272930209562, 0.7398474912108323, 0.7404213651829408, 0.74095747707283, 0.7416955530989312, 0.7422989627318061, 0.742903085523731, 0.7437734772213281, 0.7444206645535397, 0.7450582533535572, 0.7457819832781295, 0.7464343494655686, 0.7471724032765036, 0.7478406014828921, 0.7486070311148482, 0.7493052288051326, 0.7497967854826796, 0.7502006109182741, 0.7508719579388998, 0.7514774086378737, 0.7520327879536324, 0.7526048903282017, 0.7531215475961693, 0.7536532658308186, 0.7543408718481401, 0.7550047495687979, 0.7555550132678488, 0.7563283662209586, 0.7568536256475148, 0.757404939218489, 0.7579859145809351, 0.7586378057499957, 0.7591474624794895, 0.7597816107769544, 0.7604202760780923, 0.7608657632882587, 0.7614610547077627, 0.7619020618574098, 0.7624502863412166, 0.7630161883369868, 0.7635078785032722, 0.7642598545555294, 0.7648337619316552, 0.7654724685440587, 0.7661892300961667, 0.7669022786173654, 0.7675366095133854, 0.7679672863537274, 0.7684983268084886, 0.7690184151622012, 0.769805193142061, 0.7701278045330376, 0.7707137060659938, 0.7711971570459041, 0.7717998481892319, 0.772377214580595, 0.7729569778836731, 0.7735169429682603, 0.7740949817215935, 0.774735387755074, 0.7754672671086178, 0.7757033077134041, 0.7763195147798277, 0.7768510756375084, 0.7774130203880728, 0.7780934530064003, 0.7786499948439802, 0.7790849994580816, 0.7798201359795289, 0.7801887093484796, 0.7806286920124114, 0.7811654304966552, 0.7817616086747172, 0.7822613977955912, 0.7828176485274265, 0.7831137178833307, 0.7837048886868115, 0.7842510293393559, 0.7847769982154269, 0.7851882577907247, 0.7856662761623332, 0.7860907887457312, 0.7866962877555931, 0.7870665296191254, 0.7875416408466238, 0.7881771324028065, 0.7886007265176118, 0.788928780279346, 0.789494047095651, 0.7900089898745993, 0.7904828797437923, 0.7909093792957598, 0.7914226877144663, 0.7918613766956495, 0.79231632167928, 0.7928433389880297, 0.7933734106483773, 0.7937926166433148, 0.7941809879165229, 0.7946434078137439, 0.7951120472124226, 0.7956371892485951, 0.7962036631108945, 0.7966444546830028, 0.7970874566971207, 0.7975217599782997, 0.797976174615942, 0.7984336986491809, 0.7988320108773579, 0.7992533451351438, 0.7997419107817074, 0.8000676111259611, 0.8005230919641302, 0.8008914246622003, 0.8013166218949345, 0.8018328545830501, 0.8023525286060924, 0.8027618790651748, 0.8033095166107815, 0.8037374379420232, 0.8042140515848988, 0.8046824400761085, 0.8051701751189508, 0.8056813255753701, 0.8060107063385735, 0.8064407899863487, 0.8067481673181666, 0.8073666467010923, 0.8078490802864504, 0.8083356245658717, 0.8087505439043974, 0.8092582502774969, 0.8097196710251806, 0.810230097562179, 0.8107079310921947, 0.81115369664648, 0.8115954304617705, 0.812083237233099, 0.8125352198812681, 0.8130086069065808, 0.8134307657033878, 0.8138553970773612, 0.81421153107137, 0.8146647350524797, 0.815016983288561, 0.8154867135296214, 0.8158053196797715, 0.816144955268808, 0.8165272179523708, 0.8169224973688917, 0.8172662719854163, 0.8177678744073907, 0.8180922792731576, 0.8184521863693963, 0.8189142182105007, 0.8193278222649174, 0.8197339920113699, 0.8200527834662861, 0.8205099958403628, 0.8208954508589545, 0.8212622040712143, 0.8216030533787708, 0.821997008917856, 0.822377995994072, 0.822708152270952, 0.8231421809468077, 0.8234756164134124, 0.8237701139380977, 0.8240738511145349, 0.8244393449501477, 0.8248313328662713, 0.8252332751444331, 0.8256022837062401, 0.8260594774267715, 0.8265228611828185, 0.8268696082406729, 0.8272468987788668, 0.827647736444046, 0.828045506514879, 0.8284461819215048, 0.8287164270640475, 0.829052814035072, 0.8293876913896191, 0.8297098308691773, 0.8300393661198673, 0.8304246480964631, 0.8308461323694416, 0.831231280936307, 0.8315568658790489, 0.8319170822077923, 0.8323386288795256, 0.8327900196944157, 0.8330645918371179, 0.8332971448406229, 0.8336582679799364, 0.8340288208628207, 0.8343559574896386, 0.8347267890608706, 0.8350757040423201, 0.8354256158697401, 0.8357427483771327, 0.8361239091099786, 0.8365178190900028, 0.8367740700191961, 0.8371685007402548, 0.8374778979029613, 0.8378836201401685, 0.8382869713591858, 0.838634901314905, 0.8390165789275249, 0.8393318300444466, 0.8396837317978888, 0.84003020890062, 0.840339459145034, 0.8405560890082743, 0.8409313840062601, 0.841189310320311, 0.8414837000906449, 0.8417988469593299, 0.8420594756928476, 0.8423726231106777, 0.8426475385347056, 0.8429734735692679, 0.8433214899608535, 0.8436522824379846, 0.8439691694971238, 0.8443093274651049, 0.8446477805651764, 0.8449469543595631, 0.8452845695500308, 0.8455597347148291, 0.845876309190259, 0.8462063987015306, 0.84660828145745, 0.8469392491190035, 0.8472600878687679, 0.847648790632717, 0.8479859263801229, 0.848258847015839, 0.8485450564527479, 0.8487714432440437, 0.8490547957172649, 0.8494771353579417, 0.8497398827006586, 0.850093644977033, 0.8503463529977928, 0.850611139229568, 0.8508816752795155, 0.8512461732841948, 0.8515461958012457, 0.8518449090590048, 0.8521056207241753, 0.8523910084141864, 0.8527046456859, 0.8529453215805951, 0.8532126260761916, 0.8534699060645903, 0.8537704267227727, 0.8539969167224177, 0.8543492626701109, 0.8546153804347404, 0.8548924052992642, 0.8551912706316342, 0.8554503392116017, 0.8557542731984743, 0.856085581671876, 0.8563118866316897, 0.8566125215933854, 0.8569149953695749, 0.8571989292073203, 0.8574962681270756, 0.8577343734151833, 0.8580278594235236, 0.8582726846790567, 0.8585267593486636, 0.8587521833079999, 0.8589969161561131, 0.8593280435779063, 0.8595967686085352, 0.8598694251347417, 0.8601555163422957, 0.8603536600987904, 0.8606407515475978, 0.860914989729195, 0.8612033810277709, 0.8615183376549167, 0.8617901756127285, 0.8621487103338283, 0.8623535301695038, 0.8626268709995608, 0.8629530014443182, 0.8632852283334671, 0.8635572661296101, 0.8637387582526123, 0.8639642745282666, 0.864261043095555, 0.864507756902034, 0.8648010850123594, 0.8650226029167727, 0.8652543727879447, 0.8654527173069534, 0.8656982126044945, 0.8659323729388995, 0.8662405875005091, 0.8664790573223816, 0.866654426254418, 0.8668432879746698, 0.8671068336096092, 0.8673973503636911, 0.8676959859086264, 0.8678861957852141, 0.8681333457616968, 0.8684736875942025, 0.8687294296070732, 0.8689613675267989, 0.8692322485489233, 0.8694971059733299, 0.8697593664016466, 0.8700086408417421, 0.8702377844355227, 0.8704691803537147, 0.8707196711713326, 0.8709038918878862, 0.8712158566602557, 0.8714385460658771, 0.8716721403813343, 0.8718854776804705, 0.8720908694617739, 0.8722818773185955, 0.8724862563505208, 0.87273322351621, 0.8729550123709683, 0.8732251569972668, 0.8734046204895097, 0.8736852975055974, 0.8739262253663467, 0.8741088697871461, 0.8743316161536431, 0.8745461658277398, 0.8748270185843494, 0.8750460818493875, 0.8752481453554934, 0.8754488926711974, 0.8756698713405298, 0.8759075499235314, 0.8762155900987584, 0.8764110446343818, 0.8766254711714654, 0.8768331949967069, 0.8771106092264048, 0.8773320899278518, 0.8774968261026473, 0.8777313286096208, 0.8779686937566081, 0.8781259601357677, 0.8783106449246223, 0.8785414809772686, 0.8788101412162097, 0.8790499184897937, 0.8792369586442217, 0.8794831145833797, 0.8796522965181144, 0.8798568039938957, 0.8801262008314951, 0.8802882331375036, 0.8805331014515283, 0.8807956407021693, 0.8809565285026988, 0.8811853582169455, 0.8813312043015199, 0.8815340095750902, 0.8817936932295322, 0.8819595945823107, 0.882255957296333, 0.8824748062826204, 0.8827231270040679, 0.882951573274154, 0.8831518921721099, 0.8833754649561838, 0.8835555324091121, 0.883782475811674, 0.8839714827813653, 0.8841807806053852, 0.8843959439632288, 0.8845964319209024, 0.8848214482301394, 0.8850157744789935, 0.8852231865443001, 0.8854275848557575, 0.88576232025622, 0.8860213674445511, 0.8862396508961561, 0.8864946035569631, 0.8866744697540392, 0.8868754474604701, 0.8871514000071214, 0.8873784905187598, 0.8875918890270535, 0.8878037128344728, 0.8881034548485647, 0.8882434680352669, 0.8884991195323534, 0.8887531079049837, 0.888982119209104, 0.8891704507097082, 0.8893963991646141, 0.8895513225365187, 0.8897257633190867, 0.8898800982501959, 0.8901019713137814, 0.8903742017249325, 0.8906062833888906, 0.8907930539221984, 0.8910099062430875, 0.8912527573237775, 0.8914025041714206, 0.8916111554376264, 0.8918416122243407, 0.8920380084044987, 0.8922161669970831, 0.8924245195724101, 0.8926149963548948, 0.8927979407341299, 0.8930020401347746, 0.8932051278870826, 0.8933725576805523, 0.8935707722280396, 0.8938061118570159, 0.8939509042697429, 0.8941390990256749, 0.8943044906900328, 0.894458491727849, 0.8946061902537471, 0.8947925766862771, 0.8950155292899663, 0.8951777291052699, 0.8953801150416143, 0.8955546661640313, 0.8956917992565581, 0.8958949203294831, 0.8960858055909939, 0.896285888287734, 0.8965088479585009, 0.8966499793054535, 0.8968523153551834, 0.8969879553175496, 0.8971512649895622, 0.8972618855754771, 0.89741863645585, 0.8976136720680536, 0.8977791449964589, 0.8979369828697612, 0.8980417261836494, 0.8981851100176671, 0.898336070037368, 0.8984799901827134, 0.8986554645707691, 0.8988232070781321, 0.8990207232000321, 0.8991824178249046, 0.8993767958351049, 0.8995408316884681, 0.8996699656161897, 0.8998675651870093, 0.9000705305698744, 0.9002767763303897, 0.9003904286757758, 0.900562235535632, 0.9007375451510147, 0.9009284486267789, 0.901067667590181, 0.901179704683754, 0.9013644844677184, 0.9015781410673438, 0.9017552227175513, 0.9018850682453751, 0.9020502210693244, 0.9022248779901552, 0.9023689518883227, 0.9025191767897356, 0.9026551017301143, 0.9028089084086358, 0.9029426653442465, 0.9030947795982364, 0.9032373508549669, 0.9033983849543173, 0.9035378173208974, 0.9036297283529049, 0.903812336986851, 0.904004209587183, 0.9041655384630958, 0.9043778694908517, 0.904515907403789, 0.9047199494413258, 0.9048526142210755, 0.9050302361614014, 0.9051583103200008, 0.9053621906932394, 0.9055290722869918, 0.9056921840049769, 0.9058702188317943, 0.9060492916530719, 0.906226479470414, 0.9064076559886515, 0.9065309248133804, 0.9066769591610544, 0.9067631269821629, 0.9068935758241627, 0.9070937042987431, 0.9072177366168049, 0.9073435992638668, 0.9074854723327186, 0.9076698425365642, 0.9077610503066734, 0.907904733955739, 0.9080852958394615, 0.9082121333937314, 0.9083584933008532, 0.9085028123316565, 0.9086627468075831, 0.9088293477752205, 0.9089678110656536, 0.909134211406782, 0.9092604467107264, 0.9093948412529408, 0.9095636385169836, 0.9096908631074767, 0.9098402582057564, 0.9099416750515886, 0.9100601688514781, 0.9101969692122298, 0.9103834873965178, 0.91049438570553, 0.9106105827049453, 0.9107222084863671, 0.9108391361972707, 0.9110082374856869, 0.9111521674002523, 0.9112742851671107, 0.9114400753275698, 0.9116017892996188, 0.9117343413404869, 0.911849364663913, 0.9119660431891184, 0.9121542492492686, 0.9122577843297067, 0.9123893964540034, 0.912530741169105, 0.9126640605577416, 0.9128220321759912, 0.9129368212127295, 0.9130757265460311, 0.9131760640221885, 0.9132949068450937, 0.9134278879837348, 0.9136029538068311, 0.9137151796406672, 0.9138669083062756, 0.914000579331946, 0.9140958113330993, 0.9142472240962591, 0.9143533741033093, 0.9144708596149032, 0.9146316588519613, 0.9147465199762402, 0.9148677023385495, 0.9149721764549332, 0.9151009999849238, 0.9151987019466492, 0.9153551502321641, 0.9154620723605795, 0.9156181749582277, 0.9157453577286653, 0.915889164905729, 0.9159803692693538, 0.9161144625116973, 0.9162129887309423, 0.9163377117694383, 0.9164238479247744, 0.9165530387475525, 0.9166712042599791, 0.9167568974109935, 0.9168715995835625, 0.9170255120818137, 0.9171891418601804, 0.9173111889413046, 0.9174634764553907, 0.9176007536772506, 0.9177683106768197, 0.9178882518163498, 0.9180181968024307, 0.9181209729112664, 0.9182383039192779, 0.9183417553894945, 0.9184519201368785, 0.9185753936681657, 0.9186863950977172, 0.9187584767187259, 0.9188725040122906, 0.9189732776730359, 0.919086248471203, 0.9192054522200906, 0.9193280867541038, 0.9194711094400967, 0.9196030717419479, 0.9197151395600458, 0.919828461415998, 0.9199462406994801, 0.9200572710517898, 0.9201599430292193, 0.9202682715823086, 0.9204195408881644, 0.9205496411728165, 0.9206501226790437, 0.9207373038916167, 0.9208495134203905, 0.9210351660273953, 0.9211250110130141, 0.9212016327841133, 0.921329227460938, 0.9214272402269066, 0.921549332790823, 0.921664747476997, 0.921828725584581, 0.9219301733215077, 0.9220143414567211, 0.9221177890909218, 0.9222185303067398, 0.9223278214085647, 0.9224306067987601, 0.9225499542579084, 0.9226641459726881, 0.9227651653597074, 0.9228803726778779, 0.9229944233701692, 0.9231085292167088, 0.9231931623662005, 0.9233202824735455, 0.923440519148966, 0.9235483633353444, 0.9236335744758484, 0.9237524230385067, 0.9238376498389564, 0.9239517678480993, 0.9240139898570026, 0.9241788190168089, 0.9243044685818484, 0.924397595918579, 0.9245115804125994, 0.924604050076162, 0.924696933598369, 0.9248118813100114, 0.9249382746455025, 0.9250378749887826, 0.9251725284995432, 0.9252587925201579, 0.9253682131811031, 0.9254960566889221, 0.9256170683560494, 0.9257108495833691, 0.925793250038334, 0.925920539176409, 0.9260274818044357, 0.9261459091209736, 0.9262601144800806, 0.9263589111946561, 0.9264440160419997, 0.926523776003107, 0.9266044192378456, 0.9267419711210273, 0.9268481084552215, 0.9269354593612728, 0.9270412473533332, 0.9271622780267473, 0.9272968966823647, 0.9273982730382428, 0.9274972667348361, 0.9275773976859767, 0.9276485319363573, 0.9277751543344422, 0.9278710033837442, 0.9279780527481442, 0.9280921716948042, 0.9281923022743401, 0.9282851385408285, 0.9284199516476795, 0.9284924294106878, 0.9286232427058937, 0.9287203483754056, 0.9288026966639031, 0.9288941145151629, 0.9289822425651226, 0.9290935659535482, 0.9292296653670653, 0.9293208807411157, 0.929424270382234, 0.9295323453643747, 0.9296315389503904, 0.929757009162999, 0.9298413555186325, 0.9299291081664137, 0.9300375827307152, 0.9301266581954989, 0.9302468196305761, 0.9303271610433544, 0.9304535481366183, 0.9305390352203403, 0.9306581047950282, 0.9307412172915059, 0.9308289272273952, 0.9309104507481566, 0.9310239674727157, 0.9310759977954592, 0.9311733433237889, 0.9312740255180724, 0.9313445089439093, 0.9314578053055164, 0.9315478993734837, 0.9316530075078863, 0.9317515064928917, 0.9318574207713252, 0.9319529746920845, 0.9320395291644452, 0.932112787614496, 0.932227336011739, 0.9323281808648366, 0.9324088648423309, 0.9324872674041969, 0.93256191601697, 0.9326770855292928, 0.9327593516382519, 0.9328717271989242, 0.9329874997368625, 0.9330538234894888, 0.9331550263002127, 0.9332425025378095, 0.933327087403274, 0.933413740690756, 0.9335339830905265, 0.9336551272446696, 0.933738832034517, 0.9338420290622579, 0.9339356311086232, 0.9340242715896504, 0.9341410278231994, 0.9342301432898494, 0.9343331798218518, 0.9344077086828289, 0.93446840643288, 0.9345727922082593, 0.9346575017222493, 0.9347481327759772, 0.9348614550192189, 0.9349412043688711, 0.9350538116430465, 0.935127204825113, 0.9352188803247701, 0.9352978132663194, 0.9353878794840436, 0.93546112551616, 0.9355465977481304, 0.9356270745176662, 0.9357328668617312, 0.9358302973566146, 0.9359108860339288, 0.936011776536343, 0.9360885495632084, 0.9361604181052574, 0.9362521312714227, 0.9363358517367321, 0.9364115723215907, 0.9364923994776546, 0.9365795784561948, 0.9366634371537387, 0.9367316656248573, 0.9368070913342001, 0.936900791973105, 0.9369940816199157, 0.937063250232511, 0.9371349613226972, 0.9372025164427686, 0.9372708892225204, 0.9373655984564025, 0.9374608026263656, 0.9375603238407971, 0.937621123262824, 0.9377262455996944, 0.9378220659536687, 0.9379196296583396, 0.9379861902363185, 0.9380693390123438, 0.9381474442423445, 0.9382293281504277, 0.9383155881855115, 0.9383903851565407, 0.9384745568813453, 0.9385920340741649, 0.9386660829061102, 0.9387550866698586, 0.9388172550616081, 0.9389076072483223, 0.9389893790619429, 0.9390840765680672, 0.9391847676562809, 0.9392735421970397, 0.9393457158624028, 0.9394140433213161, 0.9394926591362452, 0.9395871050327919, 0.9396512434225114, 0.9397307847844858, 0.9398077905017589, 0.9398998695634544, 0.9399598638798614, 0.940018595069572, 0.9401116314012093, 0.9401715909666024, 0.9402736764816542, 0.9403453266681902, 0.9404247281632996, 0.9405075958672787, 0.9405870910085087, 0.9406468924928807, 0.9407475222998719, 0.9408249676080762, 0.9408841994861918, 0.9409316378293004, 0.9410048383883249, 0.9411082320494262, 0.9411712266893906, 0.9412409171324225, 0.9413112537834127, 0.9413673823386262, 0.9414403017477044, 0.941485756855933, 0.9415432130408038, 0.9416076705280241, 0.9416497298891123, 0.9417181088804221, 0.9417916908088648, 0.9418329146212076, 0.9419000725785167, 0.9419780487704278, 0.9420664206642066, 0.9420968974602664, 0.9421939686085905, 0.9422435440262894, 0.9423095625176612, 0.9423940932265915, 0.9424541121152643, 0.9425378947315273, 0.9426126247726294, 0.9426670927902462, 0.9427131962735287, 0.9427728982132694, 0.9428486234886079, 0.942933505139716, 0.9429976177573827, 0.9430799636083959, 0.9431714251424645, 0.9432477429621351, 0.943328865086864, 0.9433827013945442, 0.9434725924862367, 0.9435233837917055, 0.9436011253257686, 0.9436646567621889, 0.9437267855950372, 0.9437876077822976, 0.9438602973698178, 0.943914721216383, 0.9439643789287777, 0.9440262644394259, 0.9440912200978557, 0.9441330734971728, 0.9442032986166362, 0.9442796498748433, 0.9443645415890901, 0.944437880691274, 0.9444986055065182, 0.9445371385200362, 0.9445697836889879, 0.94462748466711, 0.9447078985416869, 0.9447840317280788, 0.944858885828138, 0.9449171735473016, 0.9450029540963932, 0.9450529888288821, 0.9451170276232362, 0.9451823769506026, 0.9452613082600531, 0.945328923713798, 0.945382100824429, 0.9454414240593784, 0.9455056099140815, 0.9455689443829828, 0.9456543136338519, 0.9457286050362239, 0.9458139332290423, 0.945869925609673, 0.9459591637686225, 0.9460230499849082, 0.9461035829229156, 0.9461544063181105, 0.9461960046427865, 0.9462498103433956, 0.9463072485075292, 0.9463432090754529, 0.9464336367531863, 0.9464985874735558, 0.9465890613468753, 0.9466439791743314, 0.946723010017284, 0.9467889481914525, 0.9468554013082334, 0.9469359671409411, 0.9469887999791688, 0.9470861624166274, 0.9471522855957323, 0.947212264315541, 0.9472599227345024, 0.9473112224001191, 0.9473774373913889, 0.9474436778483741, 0.9474914115592008, 0.9475585808319531, 0.9476244516746982, 0.9476899062263382, 0.9477473623183543, 0.9478221430412666, 0.947880578171207, 0.9479443635654844, 0.9479984459745283, 0.9480693534407558, 0.948147294475104, 0.9482038581454637, 0.9482508506536848, 0.9483505673958521, 0.9484096095361324, 0.9484620773398095, 0.9485175931154998, 0.9485650560260732, 0.948626445130935, 0.9486745557705429, 0.9487266743951236, 0.9487783200609285, 0.9488290249738487, 0.9488744225724424, 0.9489434816106251, 0.9489792671983441, 0.9490514801159217, 0.949117502515738, 0.9491869861609287, 0.9492166156240505, 0.9492711476754837, 0.94932347618209, 0.9493842498379111, 0.9494441802331983, 0.9495161474001212, 0.9495796625582109, 0.9496405542225386, 0.9497014450864342, 0.949757904452457, 0.949831690265055, 0.9499029259224853, 0.9499594316393795, 0.9500097625265419, 0.9500721530527266, 0.9501174744955452, 0.9501808004057443, 0.9502423416606428, 0.9502989952687857, 0.9503655170663907, 0.9504128580492046, 0.950481213292063, 0.9505486781747806, 0.9505902434092817, 0.9506465996669295, 0.9507056597188086, 0.9507607158416521, 0.9508014515722228, 0.9508632569382476, 0.9509076051293976, 0.9509618413191343, 0.9510178883901579, 0.9510743807880755, 0.9511595698073744, 0.9512147890227268, 0.9512798907434479, 0.951323264560058, 0.9513847540574777, 0.9514175557283359, 0.951465243355226, 0.9515150543223456, 0.9515730777032924, 0.9516374089096334, 0.9516827870341749, 0.9517304498952601, 0.9517866896800147, 0.9518614689179101, 0.9519191896293105, 0.951976464386229, 0.9520346371887711, 0.9520784572790306, 0.9521343518204307, 0.9522082720561297, 0.9522764818858294, 0.9523379627878118, 0.952384601158541, 0.9524356938320104, 0.9524990406594774, 0.9525839609233797, 0.9526797857137109, 0.952725514917858, 0.95278174895004, 0.9528474137477816, 0.9529008489538602, 0.9529562435118146, 0.9530016780376106, 0.9530691293516304, 0.9531444446288083, 0.9532193163724094, 0.9532870290227957, 0.9533398224782462, 0.9533935616836104, 0.953444583585028, 0.953516352500954, 0.953565174379221, 0.9535972174282956, 0.9536519568387617, 0.9537053352400936, 0.9537822930378673, 0.953818063123866, 0.9538732262177385, 0.953935320183675, 0.9539842638418721, 0.9540504622816673, 0.9540826128722383, 0.9541302250895621, 0.954181075021443, 0.9542305591452286, 0.9542786765962085, 0.9543204952341424, 0.9543845901901566, 0.9544673429069762, 0.9545433113954145, 0.9546070115385477, 0.954662072573272, 0.9547121925743225, 0.954764583955897, 0.9548264447681736, 0.9548759509410717, 0.9549114876924903, 0.9549739942909062, 0.9550250706132152, 0.9550766638166633, 0.9551610723393857, 0.9552027011546921, 0.9552580246925367, 0.9552978598855791, 0.9553509388981932, 0.9554254642305113, 0.9554863253322581, 0.9555412949948299, 0.9556085943948227, 0.955643943160004, 0.9557130720351037, 0.9557657961367696, 0.9557960766608813, 0.9558543204053703, 0.9558870175643395, 0.9559297248981263, 0.9559857360206637, 0.9560216741977483, 0.9560850874769775, 0.956152166844721, 0.9562036803774825, 0.9562735356688286, 0.9563537486673933, 0.9564292047061079, 0.9564762453469946, 0.9565019796668867, 0.956553343476049, 0.9566013684991972, 0.9566452390248489, 0.9566992425401794, 0.956764742716511, 0.9568063901375958, 0.9568558801887159, 0.9568975780991957, 0.9569521144371176, 0.9570291507118264, 0.957070880529458, 0.9571217592334582, 0.9571603203678041, 0.9571809331209793, 0.9572152723770009, 0.9572579885275188, 0.9573131473505898, 0.9573595580187019, 0.9574064658939558, 0.9574708324894148, 0.9575274117979358, 0.957575235472555, 0.9576142976173686, 0.9576474813459332, 0.9577008027342367, 0.9577335504992666, 0.9577607728236278, 0.9577994981166125, 0.9578498148801299, 0.9578885480695786, 0.9579365691425267, 0.9579730615707978, 0.9580137029233224, 0.9580617906817268, 0.9580918728937776, 0.9581187090026927, 0.9581682052885362, 0.9582195889228347, 0.9582913418358876, 0.9583657989535691, 0.95842974296773, 0.9584862851648355, 0.9585316761653864, 0.9585683242686496, 0.9586244785719843, 0.9586903832723986, 0.9587400533452952, 0.9587628965659275, 0.9588019726004082, 0.9588526205931313, 0.9588954360724122, 0.9589529727938384, 0.9590128118834974, 0.9590621764943029, 0.95909902356948, 0.9591284532252372, 0.9591862032632443, 0.9592439156216885, 0.9592993065337733, 0.9593230143438444, 0.9593696849878618, 0.9594051733287583, 0.9594471842011635, 0.959483201628933, 0.95950994553388, 0.9595841634480524, 0.959614092698271, 0.9596794929639235, 0.9597067517550448, 0.9597670887108006, 0.9598096078525596, 0.9598508607548233, 0.9598939919891895, 0.9599390222285248, 0.959969613160377, 0.9600072093219837, 0.9600395314339523, 0.9600818171612905, 0.9601222312303029, 0.9601785485106697, 0.9602484266683782, 0.9602875094831443, 0.960327014547653, 0.9603623281823511, 0.9604098223460904, 0.9604732638160594, 0.9605353270591328, 0.960581513830719, 0.9606319264554077, 0.9606982646145095, 0.9607435691729466, 0.9607756686668658, 0.9608177246769447, 0.9608643632899023, 0.9609167153292499, 0.9609602230900112, 0.9609999970743781, 0.9610632002422882, 0.9610949792719552, 0.961134701810738, 0.9611726376735786, 0.9611960066740878, 0.9612348464178315, 0.9612920580104092, 0.9613314538191751, 0.9613599138162578, 0.9613990511678704, 0.9614304626703077, 0.961474079408836, 0.9615088401731873, 0.9615585573388453, 0.961593343876107, 0.9616413253187592, 0.9616759685290115, 0.9617234545390517, 0.9617634109831623, 0.9617846330279718, 0.9618297338851823, 0.9618716859680326, 0.9619159507550725, 0.9619758291945415, 0.9620149462396658, 0.9620513051582856, 0.9621227633761447, 0.9621690162513553, 0.9622176800675475, 0.9622705873991859, 0.9623012867554243, 0.9623580207084084, 0.9623869308045456, 0.9624332967119202, 0.9624748838377496, 0.9625137254401708, 0.9625624809232602, 0.9626111804241961, 0.9626576446776958, 0.962710669399162, 0.9627467484062452, 0.9627875863010618, 0.9628462470691165, 0.9628747981284598, 0.9629194644064598, 0.9629523141103522, 0.9630144696707148, 0.9630525366104287, 0.9631052616567546, 0.9631409885958488, 0.9631876429643111, 0.9632196044030006, 0.9632718860674094, 0.9633071908613727, 0.9633472313152545, 0.9633939618327488, 0.9634235037190052, 0.9634948849300103, 0.9635658563403094, 0.9636002979850534, 0.9636480471814522, 0.9636948812542664, 0.9637298190212764, 0.9637561974180876, 0.9638177538731469, 0.9638555643018212, 0.9638948138998455, 0.963945966561395, 0.9640081325286342, 0.964045579349023, 0.9640911292125984, 0.9641413667626162, 0.9641740940809652, 0.964223746423486, 0.9642655487938919, 0.9643139475364089, 0.9643543503624458, 0.9643952083437332, 0.9644370338110424, 0.9645017458400947, 0.9645353980878569, 0.9645820071432493, 0.9646138921552574, 0.9646589942011202, 0.9646926722956221, 0.964724591371282, 0.9647622691983828, 0.9648066123820755, 0.9648452549438294, 0.9648915568366988, 0.9649345116610855, 0.9649827579372944, 0.9650401077137538, 0.9650616042429833, 0.9650940931706545, 0.9651108369988141, 0.965146728563686, 0.9651821187701137, 0.9652136387535838, 0.9652418780300489, 0.9652757102650519, 0.96530685168091, 0.965349982205178, 0.9653859214335927, 0.9654477418509106, 0.9655008179680818, 0.9655400223328711, 0.9655927237715005, 0.965623458056912, 0.965679124138524, 0.9657271984813154, 0.9657598401121601, 0.9658012048342545, 0.9658363562758674, 0.9658972430479283, 0.9659318068973203, 0.9659756335437848, 0.9660025809611069, 0.9660290560877964, 0.9660582562552367, 0.966080503970129, 0.9661070884336126, 0.9661567794774018, 0.9662030516987398, 0.9662436304153614, 0.9662803706647597, 0.9663180864155381, 0.9663505157517134, 0.9663740269996989, 0.9663977851181642, 0.9664393847577979, 0.9664713731652262, 0.966518719122852, 0.9665381913118458, 0.9665947141071103, 0.9666488623543624, 0.9666745716931818, 0.9667100100169079, 0.9667342888335526, 0.966779340312206, 0.9668004746143758, 0.966827528933722, 0.9668842498029657, 0.9669037598344513, 0.9669329931180392, 0.9669500826247934, 0.9670014447651144, 0.967036182471416, 0.9670745989255322, 0.9671135617092922, 0.967157279040521, 0.9671762900498813, 0.9672074440658824, 0.9672527180919908, 0.9672839116687649, 0.9673387573401397, 0.9673751596150503, 0.9674107031019055, 0.9674395040557802, 0.9674644678268314, 0.9674938368270511, 0.967524217961149, 0.967546361087725, 0.9675932264592376, 0.9676371313731421, 0.9676777507976962, 0.967704771777778, 0.9677312184489967, 0.9677718091295221, 0.967827363007492, 0.9678913133208067, 0.9679242411839123, 0.9679599039188916, 0.9679923677237912, 0.968033094959581, 0.9680809896139585, 0.9681168001793461, 0.96814444469581, 0.9681782824709787, 0.9682146781562663, 0.9682491060708716, 0.9682922976463214, 0.9683306322049309, 0.9683680371032417, 0.9684084110686579, 0.9684470980311215, 0.9684698496902723, 0.9684985720997712, 0.9685253365701824, 0.9685696582574354, 0.9686003469368939, 0.968646538717763, 0.9686840065359674, 0.9687088697437076, 0.9687454151925959, 0.9687897578487005, 0.9688429589505378, 0.9688702763398563, 0.968916416041428, 0.9689446541388289, 0.9689944351186108, 0.9690231536353853, 0.9690391769898861, 0.9690952682968211, 0.9691294800233534, 0.9691577195361888, 0.9691913856525555, 0.969219753727712, 0.9692642803896547, 0.969296099573988, 0.969344622240063, 0.9693897467585069, 0.9694314553121589, 0.9694751708188581, 0.9694996645813033, 0.9695388680501688, 0.969575156468961, 0.9696116096963439, 0.969640943288956, 0.9696974760555678, 0.9697764699625973, 0.9698091951263126, 0.9698432200062317, 0.969865323789419, 0.9698983095515028, 0.9699347631044044, 0.9699992445816478, 0.970022985521606, 0.9700644143045299, 0.9701029202152752, 0.9701224183328175, 0.9701727011866071, 0.9702135110308111, 0.9702446517020242, 0.97027584788894, 0.9702986937416791, 0.9703396587466114, 0.970400279168853, 0.9704456396992591, 0.9704856223862927, 0.9705498486477915, 0.9705816122114216, 0.9706315550252249, 0.9706636726242416, 0.9706974610501433, 0.970740642585766, 0.9708131325131406, 0.9708250346787924, 0.9708577224745183, 0.9708786641547966, 0.9709016339193802, 0.9709236072568778, 0.9709661779654629, 0.9710063059667281, 0.9710335861233464, 0.9710821223496489, 0.9711050000815408, 0.9711403484627453, 0.9711682382113754, 0.9712130328370385, 0.9712439453019419, 0.971278787393454, 0.9713097797945633, 0.971335797063219, 0.9713717074963065, 0.9714145862426603, 0.9714515728869835, 0.9714981725866554, 0.9715227398306807, 0.9715466297558061, 0.9715840881110379, 0.9716224073640721, 0.9716826758953959, 0.9717286799714787, 0.9717757086746408, 0.9717968868638909, 0.9718325128896426, 0.9718592322269306, 0.9719221976040889, 0.9719493950160456, 0.9719884385845864, 0.9720199759334736, 0.9720459501796849, 0.9720780487505165, 0.9721111681815365, 0.9721523798011792, 0.9721860214458863, 0.972212416132313, 0.972227289684378, 0.9722600779141038, 0.972286383604759, 0.9723145923631341, 0.9723428672225851, 0.9723926946728143, 0.9724195381780727, 0.9724576955970996, 0.972491544879232, 0.9725473108528194, 0.9725720463092147, 0.9726079440761355, 0.9726584865500499, 0.9726939547362766, 0.9727343475100617, 0.9727677436093721, 0.9728116765396269, 0.9728301537702492, 0.9728604987072267, 0.9728873945432392, 0.9729208852981315, 0.9729389190687561, 0.9729807998460984, 0.9730051754828222, 0.9730405045913574, 0.9730750683583548, 0.9730935310307413, 0.9731379121634388, 0.9731560004325193, 0.973177032103104, 0.9732066194622987, 0.9732320677366078, 0.9732588496977322, 0.973291405973412, 0.9733179258202465, 0.9733315462950314, 0.973371858190167, 0.9734017948721916, 0.9734268309476691, 0.9734620005457713, 0.9734816121842497, 0.9735193554279723, 0.9735423083592762, 0.9735831836767562, 0.9736124462929902, 0.9736350872590932, 0.9736607117495433, 0.9736897158220704, 0.9737232710836122, 0.9737495078226487, 0.9737836832149834, 0.9738195295175772, 0.9738679750084658, 0.9739062044316482, 0.9739445553791978, 0.9740009900739142, 0.9740442099000168, 0.9740876605517168, 0.9741174741337771, 0.9741463159600234, 0.9741832638795049, 0.9742244445226944, 0.9742579272511819, 0.9742791606965808, 0.9743019972540994, 0.9743394959306959, 0.9743606222278427, 0.9744037812961037, 0.9744316797269118, 0.97445038590698, 0.9744781952953038, 0.9745199173540429, 0.9745642630593966, 0.974590748365121, 0.9746162437770663, 0.9746341979971471, 0.9746613114750694, 0.9746903999447499, 0.9747126615872818, 0.9747330167818022, 0.974764986860877, 0.9747965925022162, 0.9748308299984408, 0.9748504761993873, 0.974871923912354, 0.9748873476866887, 0.9749093019579128, 0.9749372442828059, 0.9749801398714906, 0.9750136327118482, 0.9750605907789603, 0.9750861579413913, 0.9751034817017905, 0.9751325952639565, 0.9751610146409141, 0.9751916567960421, 0.9752026506074308, 0.9752192414566042, 0.9752549264234944, 0.9752756631944354, 0.9752992455066908, 0.9753294979243117, 0.9753582860259845, 0.9753979294161338, 0.9754393579593591, 0.9754797552619413, 0.9755132459144383, 0.9755646741147467, 0.9755807743170286, 0.9756156273448772, 0.9756588107615768, 0.9757076560792499, 0.975740907542513, 0.9757683307780659, 0.9758013348176254, 0.9758210372030686, 0.9758560890952712, 0.9758825722537157, 0.9759204457847835, 0.9759472282816235, 0.9759856011971098, 0.9760119022076439, 0.9760417800705128, 0.9760825590672371, 0.9761120958008582, 0.9761257748727813, 0.9761631265965933, 0.9762073779917592, 0.9762414026909852, 0.9762726449916225, 0.976307366836394, 0.9763196289149022, 0.9763408767838987, 0.9763748184766038, 0.9764136295923291, 0.9764407340741367, 0.9764885774975443, 0.9765182619703541, 0.9765380747111353, 0.976558915099045, 0.9765778103581908, 0.9766128710354434, 0.9766293062647705, 0.9766605775277676, 0.9766766805165024, 0.9766945633962113, 0.97671922293678, 0.9767538087759708, 0.9767764103060299, 0.9767933310542509, 0.9768360972658767, 0.976860070270549, 0.9768988499154079, 0.9769288665491197, 0.9769690174061586, 0.9769936897970574, 0.9770227650094291, 0.9770401418294781, 0.9770734271960149, 0.9771078122192486, 0.9771443508580355, 0.977173390514504, 0.9771945344485999, 0.9772028364366526, 0.9772203368377752, 0.977251880292154, 0.9772712405197919, 0.9772983549050761, 0.977315822666234, 0.9773368114240713, 0.9773797104265043, 0.9774132785968477, 0.9774432873604135, 0.9774741961163828, 0.977511568362444, 0.9775365868739091, 0.9775630640749501, 0.9775933658218867, 0.9776354989260344, 0.9776626904415101, 0.9777044826966007, 0.9777431616731995, 0.9777616189071487, 0.9777892110858626, 0.9778114841756403, 0.9778527950096773, 0.9778870741871447, 0.9779045855268943, 0.9779258734915501, 0.9779470993233733, 0.9780265331176308, 0.9780459163792806, 0.9780846527348052, 0.9781493306744171, 0.9781816792945569, 0.9782039031466155, 0.9782464493204304, 0.9782828971777586, 0.9783129088892653, 0.9783435215354095, 0.978383758659536, 0.9784253077886711, 0.9784550966295239, 0.978496738105045, 0.9785306842337752, 0.9785578365261665, 0.9785818135794577, 0.978608106771174, 0.9786216593350296, 0.9786613316448557, 0.9786769456415649, 0.9787080351496543, 0.978751577299663, 0.9787685198349876, 0.9787916039934721, 0.9787975531499492, 0.9788195127097309, 0.9788668293156061, 0.9789214121118726, 0.9789384007131068, 0.9789830736234988, 0.9790212438441709, 0.979050075169839, 0.9790675536944193, 0.9790995866456387, 0.9791375613047673, 0.9791554872823324, 0.9791926253695193, 0.9792039690441903, 0.9792375027515211, 0.9792789282952479, 0.9793033591952257, 0.9793304876510076, 0.9793491995335001, 0.9793693740430091, 0.9793827005966308, 0.9794167655559325, 0.979450097604411, 0.9794723008524173, 0.9795129028027227, 0.9795294663140779, 0.9795501000592806, 0.9795921209368492, 0.97961675404563, 0.9796338956022139, 0.9796578558106631, 0.9796835978058864, 0.9797330736741753, 0.9797599358169926, 0.9797886120862823, 0.9798259219894875, 0.9798499978267554, 0.9798812140937234, 0.9799041885822938, 0.9799246186638605, 0.979948855862029, 0.979958515227554, 0.9799736563333312, 0.9800363220194183, 0.9800618277893985, 0.9800959535552539, 0.9801185392914095, 0.9801529492555003, 0.9801761699889255, 0.980195921265688, 0.9802298464641116, 0.98025446924939, 0.9802910879545524, 0.9803021093384487, 0.9803311157709718, 0.9803500940646879, 0.9803724150414046, 0.9804148402792184, 0.9804353344230436, 0.9804645260891642, 0.9804879784596772, 0.9805144029371033, 0.9805462540238714, 0.980558299475667, 0.9805801563623865, 0.9805995492208516, 0.9806273256953265, 0.9806534946775105, 0.9807009470476462, 0.9807208060892129, 0.9807374945287719, 0.9807724219494489, 0.980813750433864, 0.9808306173688699, 0.980866091306201, 0.9808871400987562, 0.9809136139452377, 0.9809450089044544, 0.9809721713132634, 0.9810105878848602, 0.9810495911106103, 0.9810859768226543, 0.9811363912304437, 0.9811766504794356, 0.981199294743059, 0.9812496473662053, 0.9812806497073202, 0.9813126065947332, 0.9813188531371949, 0.9813504219016336, 0.9813727886500785, 0.9814166831479819, 0.9814510952539088, 0.981487079065226, 0.9815503292486344, 0.9815958997303227, 0.9816406864375095, 0.9817046547104049, 0.9817498470984654, 0.9817970124435209, 0.9818449965691289, 0.9818988858755805, 0.9819519788463448, 0.9820012320747582, 0.9820283093019397, 0.9820658482861951, 0.9821338247969926, 0.9821861719886844, 0.9822073102536729, 0.9822466763783351, 0.9822963101950344, 0.982347146516057, 0.9823762714499868, 0.9824189222942329, 0.9824548616971608, 0.9825049104551168, 0.9825552088367049, 0.9826077317505751, 0.9826149907901988, 0.9826779859047594, 0.9826932158899957, 0.9827152694421631, 0.9827764461195063, 0.9827862210606981, 0.9828065102758954, 0.9828833528115805, 0.9829635730416505, 0.9830299337932205, 0.9830596257536004, 0.9831355254816571, 0.9831630079093117, 0.9831945381421542, 0.9832769680072727, 0.9833535483414856, 0.983369141094364, 0.9834098534980134, 0.9834314495643507, 0.9834810400351355, 0.9835089045275955, 0.9835581038341726, 0.9835753489587717, 0.9836328510873112, 0.9836420580862094, 0.9836909361992573, 0.98371702754923, 0.9837606756979469, 0.9837866608058218, 0.9838533483725892, 0.9839865247990394, 0.9840050265785903, 0.9840952216663792, 0.9841198016589275, 0.9842121913563057, 0.9842458972646202, 0.9843183564326184, 0.9843358724471756, 0.9843986349433514, 0.9844178147199449, 0.9844917613355338, 0.9845563579727208, 0.9846788021507206, 0.9846967507044824, 0.9848140685722995, 0.9848538521728798, 0.9849173754236132, 0.9849441825306725, 0.9850639358602057, 0.9851004730258366, 0.9852059201081418, 0.985247751298324, 0.9854134198792477, 0.985470265805846, 0.9856207333533336, 0.9856625475602194, 0.9858297005038782, 0.9858562154276886, 0.9860320471975865, 0.9861474005643736, 0.9863268633739212, 0.986344742315929, 0.9865377295664922, 0.9866092038084094, 0.9868102198602154, 0.9868758446536504, 0.98712473014739, 0.9872005857476139, 0.9875459188244781, 0.9876519909709996, 0.9880565621104167, 0.9881783150322444, 0.9887107381816, 0.9888370771079592, 0.9889922486122744], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"method=Ensembled CNN<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ensembled CNN\\\", \\\"line\\\": {\\\"color\\\": \\\"#EF553B\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Ensembled CNN\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [0.9672919950177965, 0.9671912222925392, 0.9670892402945789, 0.9669868552057175, 0.9668864855713611, 0.9667861159370049, 0.9666841339390446, 0.9665837643046884, 0.966482185397629, 0.9663810095814707, 0.9662806399471144, 0.9661802703127582, 0.966079900678402, 0.9659791279531447, 0.9658787583187884, 0.9657779855935312, 0.965677615959175, 0.9655768432339177, 0.9654764735995615, 0.9653761039652052, 0.9652757343308489, 0.9651749616055917, 0.9650745919712355, 0.9649742223368792, 0.9648738527025229, 0.9647734830681667, 0.9646731134338105, 0.9645687128904439, 0.9644679401651867, 0.9643675705308304, 0.9642672008964742, 0.9641668312621179, 0.9640664616277617, 0.9639660919934054, 0.9638649161772471, 0.9637641434519899, 0.9636637738176336, 0.9635621949105743, 0.963461825276218, 0.9633614556418618, 0.9632610860075056, 0.9631599101913473, 0.9630595405569911, 0.9629591709226347, 0.9628588012882785, 0.9627580285630213, 0.962657255837764, 0.9625564831125067, 0.9624512763873381, 0.9623501005711798, 0.9622497309368235, 0.9621493613024673, 0.9620489916681111, 0.9619466065792497, 0.961840593672279, 0.9617402240379228, 0.9616390482217645, 0.9615386785874083, 0.961438308953052, 0.9613375362277947, 0.9612371665934385, 0.9611359907772802, 0.9610348149611219, 0.9609344453267656, 0.9608264169652898, 0.9607256442400326, 0.9606248715147753, 0.960524501880419, 0.9604237291551618, 0.9603233595208055, 0.9602229898864493, 0.9601222171611921, 0.9600218475268357, 0.9599214778924795, 0.9598203020763212, 0.959719932441965, 0.9596195628076087, 0.9595191931732525, 0.9594184204479952, 0.959318050813639, 0.9592176811792827, 0.9591169084540254, 0.9590161357287682, 0.958915766094412, 0.9588153964600558, 0.9587150268256994, 0.9586146571913432, 0.958513884466086, 0.9584106931954225, 0.9583103235610663, 0.95820995392671, 0.9581091812014527, 0.9580084084761955, 0.9579080388418392, 0.957807669207483, 0.9577064933913246, 0.9576037052115622, 0.957502932486305, 0.9574013535792456, 0.9573009839448894, 0.9572002112196322, 0.957099841585276, 0.9569982626782165, 0.9568974899529593, 0.9567959110459, 0.9566951383206427, 0.9565947686862865, 0.9564935928701281, 0.9563928201448708, 0.9562924505105146, 0.9561920808761584, 0.956089292696396, 0.9559865045166336, 0.9558857317913763, 0.955784959066119, 0.9556841863408617, 0.9555838167065055, 0.9554826408903472, 0.955382271255991, 0.9552819016216347, 0.9551807258054764, 0.955078743807516, 0.9549779710822588, 0.9548771983570015, 0.9547768287226452, 0.954676459088289, 0.9545744770903286, 0.9544716889105662, 0.95437131927621, 0.9542705465509527, 0.9541701769165964, 0.9540698072822402, 0.9539666160115767, 0.9538662463772205, 0.9537658767428643, 0.9536638947449039, 0.9535635251105476, 0.9534631554761914, 0.953359964205528, 0.9532595945711717, 0.9531592249368155, 0.9530588553024593, 0.9529556640317958, 0.9528552943974395, 0.9527541185812812, 0.952653748946925, 0.9525529762216678, 0.9524522034964105, 0.9523514307711533, 0.9522502549549949, 0.9521498853206387, 0.9520495156862824, 0.9519491460519262, 0.9518487764175699, 0.9517459882378075, 0.9516456186034513, 0.951545248969095, 0.9514432669711347, 0.9513428973367785, 0.9512421246115211, 0.9511417549771649, 0.9510413853428087, 0.9509410157084525, 0.9508398398922941, 0.9507394702579378, 0.9506386975326806, 0.9505379248074233, 0.950435942809463, 0.9503347669933047, 0.9502343973589484, 0.9501312060882849, 0.9500296271812256, 0.9499260328196611, 0.9498256631853049, 0.9497252935509487, 0.9496249239165925, 0.9495245542822361, 0.9494241846478799, 0.9493226057408206, 0.9492222361064644, 0.9491206571994051, 0.9490174659287416, 0.9489138715671771, 0.9488135019328209, 0.9487131322984647, 0.9486127626641084, 0.9485123930297521, 0.9484100079408907, 0.9483096383065345, 0.9482092686721783, 0.948108899037822, 0.9480085294034658, 0.9479081597691096, 0.9478057746802482, 0.9477050019549909, 0.9476046323206346, 0.9475042626862784, 0.9474038930519222, 0.9473035234175659, 0.9472031537832096, 0.9471023810579524, 0.947000399059992, 0.9469000294256358, 0.9467996597912796, 0.9466992901569233, 0.946598920522567, 0.9464985508882108, 0.9463961657993494, 0.9462957961649932, 0.9461913956216267, 0.9460801425329426, 0.9459797728985864, 0.9458794032642301, 0.9457774212662697, 0.9456742299956064, 0.94557386036125, 0.9454734907268938, 0.9453731210925376, 0.9452727514581813, 0.945171978732924, 0.9450712060076668, 0.9449708363733106, 0.9448704667389543, 0.944769290922796, 0.9446689212884397, 0.9445685516540835, 0.9444681820197273, 0.944367812385371, 0.9442670396601137, 0.9441666700257575, 0.9440658973005003, 0.9439655276661439, 0.9438651580317877, 0.9437639822156294, 0.9436636125812732, 0.943563242946917, 0.9434628733125607, 0.9433621005873034, 0.9432605216802441, 0.9431601520458879, 0.9430597824115317, 0.9429582035044723, 0.942857430779215, 0.9427429529633228, 0.9426417771471645, 0.9425414075128082, 0.942441037878452, 0.9423406682440957, 0.9422398955188385, 0.9421298517028575, 0.9420274666139962, 0.9419262907978379, 0.9418251149816795, 0.9417247453473233, 0.941624375712967, 0.9415119133515799, 0.9414115437172237, 0.9413111740828675, 0.9412108044485111, 0.9411104348141549, 0.9410100651797987, 0.9409084862727394, 0.940807713547482, 0.9407069408222248, 0.9406057650060665, 0.9405045891899082, 0.940404219555552, 0.9403030437393937, 0.9402026741050374, 0.9401023044706812, 0.940001934836325, 0.9399003559292656, 0.9397995832040084, 0.9396992135696521, 0.9395988439352958, 0.9394984743009396, 0.9393960892120782, 0.939295719577722, 0.9391953499433657, 0.9390949803090095, 0.9389946106746533, 0.938894241040297, 0.9387926621332376, 0.9386914863170793, 0.938590310500921, 0.9384899408665648, 0.9383895712322086, 0.9382851706888421, 0.9381848010544858, 0.9380844314201295, 0.9379836586948723, 0.937883289060516, 0.9377829194261598, 0.9376817436100015, 0.9375813739756452, 0.937480601250388, 0.9373802316160317, 0.9372798619816755, 0.9371794923473192, 0.937078719622062, 0.9369771407150026, 0.9368767710806464, 0.9367759983553892, 0.9366756287210328, 0.9365752590866766, 0.9364740832705183, 0.9363737136361621, 0.9362733440018058, 0.9361729743674496, 0.9360709923694892, 0.935970622735133, 0.9358686407371727, 0.9357682711028164, 0.9356679014684601, 0.9355675318341039, 0.9354671621997477, 0.9353659863835894, 0.9352656167492331, 0.9351652471148769, 0.9350648774805206, 0.9349641047552634, 0.934862928939105, 0.9347613500320457, 0.9346609803976895, 0.9345606107633332, 0.934459838038076, 0.9343590653128186, 0.9342586956784624, 0.9341579229532052, 0.9340571502279479, 0.9339567805935917, 0.9338564109592354, 0.9337560413248792, 0.9336512376906116, 0.9335508680562553, 0.9334496922400971, 0.9333493226057408, 0.9332489529713845, 0.9331485833370283, 0.9330482137026721, 0.9329466347956128, 0.9328462651612565, 0.9327454924359992, 0.932645122801643, 0.9325447531672868, 0.9324435773511285, 0.9323432077167723, 0.9322428380824159, 0.9321420653571587, 0.9320416957228025, 0.9319413260884462, 0.9318409564540899, 0.9317405868197337, 0.9316402171853775, 0.9315398475510213, 0.931439477916665, 0.9313387051914077, 0.9312371262843484, 0.9311367566499922, 0.9310363870156358, 0.9309352111994776, 0.9308348415651213, 0.9307344719307651, 0.9306341022964089, 0.9305337326620526, 0.9304333630276964, 0.930331381029736, 0.9302310113953798, 0.9301306417610236, 0.9300298690357662, 0.9299282901287069, 0.9298267112216476, 0.9297259384963903, 0.9296255688620341, 0.9295251992276778, 0.9294248295933216, 0.9293244599589654, 0.9292240903246091, 0.9291237206902528, 0.9290233510558966, 0.9289229814215404, 0.9288226117871842, 0.9287222421528278, 0.9286218725184716, 0.9285210997932144, 0.9284199239770561, 0.9283195543426999, 0.9282187816174425, 0.9281180088921853, 0.928017639257829, 0.9279172696234728, 0.9278168999891165, 0.9277165303547603, 0.9276161607204041, 0.9275157910860479, 0.9274138090880875, 0.9273134394537312, 0.927213069819375, 0.9271127001850187, 0.9270123305506625, 0.9269119609163062, 0.92681159128195, 0.9267112216475938, 0.9266108520132375, 0.9265100792879802, 0.926409709653624, 0.9263093400192678, 0.9262085672940105, 0.9261077945687533, 0.9260070218434959, 0.9259066522091397, 0.9258062825747835, 0.9257055098495262, 0.9256051402151699, 0.9255047705808137, 0.9254039978555564, 0.9253032251302992, 0.9252028554959429, 0.9251020827706856, 0.9250017131363294, 0.9249009404110721, 0.9247997645949138, 0.9246989918696565, 0.9245986222353003, 0.9244982526009441, 0.9243970767847858, 0.9242967071504294, 0.9241963375160732, 0.924095564790816, 0.9239951951564598, 0.9238948255221034, 0.9237944558877472, 0.9236920707988858, 0.9235917011645296, 0.9234913315301734, 0.9233909618958172, 0.9232905922614609, 0.9231829669908861, 0.9230825973565299, 0.9229806153585695, 0.9228802457242132, 0.922779876089857, 0.9226795064555008, 0.9225783306393425, 0.9224779610049862, 0.9223763820979269, 0.9222760124635706, 0.9221756428292144, 0.9220748701039572, 0.9219745004696009, 0.9218741308352446, 0.9217737612008884, 0.9216733915665322, 0.9215730219321759, 0.9214726522978197, 0.9213722826634634, 0.9212715099382062, 0.92117114030385, 0.9210707706694937, 0.9209695948533354, 0.9208688221280781, 0.9207676463119198, 0.9206672766775635, 0.9205669070432073, 0.9204665374088511, 0.9203661677744949, 0.9202657981401385, 0.9201642192330792, 0.920063849598723, 0.9199630768734658, 0.9198623041482085, 0.9197619345138522, 0.9196599525158918, 0.9195587766997335, 0.9194576008835753, 0.919356828158318, 0.9192548461603576, 0.9191544765260014, 0.919053300709843, 0.9189529310754868, 0.9188525614411306, 0.9187517887158733, 0.918651419081517, 0.9185510494471608, 0.9184506798128046, 0.9183503101784484, 0.9182499405440921, 0.9181491678188348, 0.9180475889117755, 0.9179464130956172, 0.9178456403703599, 0.9177448676451027, 0.9176444980107464, 0.9175441283763902, 0.9174437587420339, 0.9173429860167767, 0.9172422132915193, 0.9171418436571631, 0.9170414740228069, 0.9169402982066486, 0.9168399285722924, 0.9167379465743319, 0.9166375769399757, 0.9165372073056195, 0.9164368376712633, 0.916336468036907, 0.9162360984025507, 0.9161353256772935, 0.9160349560429373, 0.915934586408581, 0.9158338136833237, 0.9157334440489675, 0.9156322682328092, 0.9155302862348488, 0.9154295135095916, 0.9153291438752353, 0.915228774240879, 0.9151271953338197, 0.9150215855177501, 0.9149212158833938, 0.9148208462490376, 0.9147176549783742, 0.914617285344018, 0.9145169157096616, 0.9144157398935033, 0.9143153702591471, 0.9142145975338899, 0.9141142278995337, 0.9140138582651773, 0.9139130855399201, 0.9138127159055639, 0.9137123462712076, 0.9136119766368513, 0.9135116070024951, 0.9134112373681389, 0.9133104646428816, 0.9132100950085253, 0.9131097253741691, 0.9130093557398129, 0.9129089861054567, 0.9128086164711003, 0.9127082468367441, 0.9126078772023879, 0.9125075075680317, 0.9124071379336754, 0.9123067682993192, 0.9122063986649629, 0.9121060290306067, 0.9120056593962504, 0.9119052897618942, 0.9118029046730328, 0.9117025350386766, 0.9116021654043204, 0.911501795769964, 0.9114014261356078, 0.9113010565012516, 0.9112006868668954, 0.9111003172325391, 0.9109987383254797, 0.9108975625093215, 0.9107955805113611, 0.9106952108770049, 0.9105944381517476, 0.9104920530628862, 0.9103916834285299, 0.9102909107032727, 0.9101897348871144, 0.9100889621618571, 0.9099881894365999, 0.9098878198022436, 0.9097874501678873, 0.9096870805335311, 0.9095855016264718, 0.9094851319921156, 0.9093847623577593, 0.909283586541601, 0.9091832169072448, 0.9090828472728885, 0.9089824776385322, 0.908882108004176, 0.9087817383698198, 0.9086813687354636, 0.9085805960102062, 0.9084794201940479, 0.9083790505596917, 0.9082738438345231, 0.9081734742001669, 0.9080727014749096, 0.9079723318405534, 0.907871156024395, 0.9077699802082367, 0.9076692074829795, 0.9075684347577222, 0.907468065123366, 0.9073676954890098, 0.9072673258546535, 0.9071665531293962, 0.90706618349504, 0.9069658138606838, 0.9068654442263275, 0.9067650745919712, 0.906664704957615, 0.9065635291414567, 0.9064607409616943, 0.906359565145536, 0.9062591955111797, 0.9061588258768235, 0.9060584562424673, 0.905957280426309, 0.9058565077010516, 0.9057561380666954, 0.9056557684323392, 0.905555398797983, 0.9054550291636266, 0.9053546595292704, 0.9052534837131121, 0.9051527109878549, 0.9050523413534987, 0.9049519717191424, 0.9048511989938851, 0.9047500231777268, 0.9046496535433706, 0.9045492839090143, 0.9044473019110539, 0.9043469322766977, 0.904241322460628, 0.9041409528262718, 0.9040405831919156, 0.9039402135575594, 0.9038342006505887, 0.9037314124708263, 0.9036278181092618, 0.9035274484749056, 0.9034266757496483, 0.9033263061152921, 0.9032251302991338, 0.9031239544829754, 0.9030235848486192, 0.9029224090324609, 0.9028220393981047, 0.902716429582035, 0.9026160599476788, 0.9025156903133226, 0.9024153206789663, 0.9023149510446101, 0.9022145814102538, 0.9021142117758976, 0.9020138421415413, 0.9019134725071851, 0.9018131028728289, 0.9017111208748685, 0.9016103481496113, 0.9015087692425519, 0.9014075934263935, 0.9013060145193342, 0.9012044356122749, 0.9011036628870176, 0.9010008747072552, 0.900900505072899, 0.9007997323476418, 0.9006993627132854, 0.9005985899880282, 0.9004945925355627, 0.9003942229012064, 0.9002938532668502, 0.9001926774506919, 0.9000919047254347, 0.8999915350910784, 0.8998907623658211, 0.8997903927314649, 0.8996900230971087, 0.8995884441900494, 0.899488074555693, 0.8993873018304358, 0.8992869321960796, 0.8991857563799213, 0.8990849836546639, 0.8989846140203077, 0.8988826320223473, 0.8987818592970901, 0.8986814896627339, 0.8985803138465756, 0.8984799442122193, 0.8983795745778631, 0.8982788018526058, 0.8981784322182496, 0.8980780625838933, 0.897977692949537, 0.8978773233151808, 0.8977769536808246, 0.8976761809555673, 0.897575811321211, 0.8974754416868548, 0.8973750720524986, 0.8972747024181423, 0.897173929692885, 0.8970727538767267, 0.8969723842423705, 0.8968720146080142, 0.896771644973658, 0.8966712753393018, 0.8965709057049456, 0.8964705360705892, 0.896370166436233, 0.8962697968018768, 0.8961694271675206, 0.8960690575331643, 0.895968284807907, 0.8958679151735508, 0.8957675455391946, 0.8956671759048384, 0.8955583413615604, 0.8954579717272042, 0.8953515557293326, 0.8952511860949762, 0.89515081646062, 0.8950496406444617, 0.8949492710101055, 0.8948480951939471, 0.8947461131959868, 0.8946457435616306, 0.8945449708363733, 0.8944446012020171, 0.8943442315676609, 0.8942430557515025, 0.8941426861171463, 0.8940423164827901, 0.8939415437575328, 0.8938411741231765, 0.8937391921252161, 0.8936388224908599, 0.8935384528565037, 0.8934380832221475, 0.8933373104968901, 0.8932369408625339, 0.8931365712281777, 0.8930353954120194, 0.8929350257776631, 0.8928342530524058, 0.8927338834180496, 0.8926331106927924, 0.892532741058436, 0.8924315652422777, 0.8923311956079215, 0.8922308259735653, 0.8921304563392091, 0.8920300867048528, 0.8919297170704966, 0.8918285412543383, 0.891728171619982, 0.8916233679857145, 0.8915189674423479, 0.8914145668989814, 0.891312584901021, 0.8912122152666648, 0.8911118456323085, 0.8910114759979523, 0.890911106363596, 0.8908038841839223, 0.8907031114586651, 0.8906027418243088, 0.8905023721899525, 0.8904020025555963, 0.8903016329212401, 0.8902004571050818, 0.8901000874707256, 0.8899997178363693, 0.889898945111112, 0.8897981723858547, 0.8896973996605975, 0.8895970300262412, 0.889496660391885, 0.8893954845757267, 0.8892947118504694, 0.8891943422161132, 0.8890907478545487, 0.8889903782201924, 0.8888900085858362, 0.88878963895148, 0.8886892693171237, 0.8885884965918665, 0.8884881269575102, 0.8883877573231539, 0.8882873876887977, 0.8881862118726394, 0.88808463296558, 0.8879834571494217, 0.8878830875150655, 0.8877827178807093, 0.887681945155452, 0.8875815755210957, 0.8874803997049374, 0.8873800300705812, 0.8872788542544229, 0.8871784846200667, 0.8870760995312053, 0.886975729896849, 0.8868753602624928, 0.8867749906281366, 0.8866746209937804, 0.886574251359424, 0.8864738817250678, 0.8863714966362064, 0.8862711270018502, 0.886170757367494, 0.8860703877331377, 0.8859700180987815, 0.8858696484644252, 0.8857636355574545, 0.8856632659230983, 0.8855628962887421, 0.8854625266543859, 0.8853536921111079, 0.8852529193858507, 0.8851489219333852, 0.8850485522990289, 0.8849481826646727, 0.8848478130303165, 0.8847474433959602, 0.884647073761604, 0.8845467041272478, 0.8844463344928915, 0.8843447555858321, 0.8842431766787728, 0.8841424039535155, 0.8840420343191593, 0.8839412615939021, 0.8838408919595458, 0.8837405223251895, 0.8836401526908333, 0.8835397830564771, 0.8834394134221208, 0.8833382376059625, 0.8832370617898042, 0.883136692155448, 0.8830363225210918, 0.8829355497958344, 0.8828351801614782, 0.8827344074362209, 0.8826332316200627, 0.8825316527130033, 0.882431283078647, 0.8823309134442908, 0.8822301407190335, 0.8821297710846773, 0.882029401450321, 0.8819286287250638, 0.8818282590907075, 0.8817278894563513, 0.881626310549292, 0.8815255378240346, 0.8814247650987774, 0.8813235892826191, 0.8812232196482629, 0.8811228500139067, 0.8810224803795504, 0.8809221107451941, 0.8808209349290358, 0.8807205652946796, 0.8806201956603233, 0.8805198260259671, 0.8804194563916109, 0.8803186836663536, 0.8802183140319974, 0.8801179443976411, 0.8800175747632849, 0.8799172051289286, 0.8798152231309683, 0.879714853496612, 0.8796144838622558, 0.8795141142278995, 0.8794137445935433, 0.879313374959187, 0.8792130053248308, 0.8791126356904746, 0.8790118629652173, 0.878911493330861, 0.8788095113329006, 0.8787091416985444, 0.8786079658823861, 0.8785075962480299, 0.8784072266136737, 0.8783064538884163, 0.8782060842540601, 0.8781053115288029, 0.8780049418944467, 0.8779045722600903, 0.8778042026257341, 0.8777026237186748, 0.8776022540843186, 0.8775014813590613, 0.877400708633804, 0.8772995328176457, 0.8771991631832895, 0.8770987935489333, 0.8769984239145769, 0.8768940233712105, 0.8767936537368543, 0.8766928810115969, 0.8765925113772407, 0.8764921417428845, 0.8763917721085281, 0.8762914024741719, 0.8761898235671126, 0.8760894539327564, 0.8759882781165981, 0.8758875053913407, 0.8757871357569845, 0.8756867661226283, 0.8755863964882721, 0.8754860268539159, 0.8753856572195596, 0.8752848844943023, 0.8751845148599461, 0.8750837421346888, 0.8749833725003325, 0.8748817935932732, 0.874781423958917, 0.8746794419609566, 0.8745786692356994, 0.874478299601343, 0.8743775268760858, 0.8742759479690265, 0.8741751752437692, 0.874074805609413, 0.8739744359750568, 0.8738736632497994, 0.8737732936154432, 0.8736721177992849, 0.8735713450740277, 0.8734709754396714, 0.8733702027144141, 0.8732690268982558, 0.8731674479911965, 0.8730670783568403, 0.872966305631583, 0.8728655329063257, 0.8727651632719695, 0.8726647936376132, 0.872564424003257, 0.8724640543689007, 0.8723636847345445, 0.872260493463881, 0.8721564960114155, 0.8720557232861582, 0.871955353651802, 0.8718549840174458, 0.8717546143830895, 0.8716542447487333, 0.871553472023476, 0.8714522962073177, 0.8713519265729615, 0.8712515569386052, 0.8711225678502759, 0.8710221982159196, 0.8709218285815634, 0.8708214589472072, 0.870721089312851, 0.8706195104057917, 0.8705175284078313, 0.870417158773475, 0.8703167891391188, 0.8702164195047625, 0.8701144375068022, 0.8700132616906439, 0.8699128920562876, 0.8698125224219314, 0.8697113466057731, 0.8696065429715055, 0.8695061733371493, 0.869405803702793, 0.8693054340684367, 0.8692046613431795, 0.869101470072516, 0.8690006973472588, 0.8688995215311005, 0.8687991518967443, 0.868697976080586, 0.8685959940826256, 0.8684956244482693, 0.8683952548139131, 0.8682940789977548, 0.8681937093633986, 0.8680933397290423, 0.867992970094686, 0.8678921973694288, 0.8677918277350726, 0.8676914581007162, 0.86759108846636, 0.8674907188320038, 0.8673903491976476, 0.8672895764723902, 0.867189206838034, 0.8670888372036778, 0.8669880644784206, 0.8668876948440642, 0.866786922118807, 0.8666853432117477, 0.8665849735773914, 0.8664846039430352, 0.8663834281268769, 0.8662830584925206, 0.8661826888581644, 0.8660819161329071, 0.8659815464985509, 0.8658811768641946, 0.8657779855935313, 0.8656776159591749, 0.8655756339612146, 0.8654748612359573, 0.8653740885107001, 0.8652729126945418, 0.8651725430601855, 0.8650709641531261, 0.8649705945187699, 0.8648698217935127, 0.8647694521591565, 0.8646690825248001, 0.8645687128904439, 0.8644683432560877, 0.8643679736217315, 0.8642667978055731, 0.8641664281712169, 0.8640652523550586, 0.8639648827207024, 0.8638645130863462, 0.8637641434519898, 0.8636633707267326, 0.8635630010923764, 0.8634622283671191, 0.8633618587327628, 0.8632614890984066, 0.8631611194640504, 0.8630603467387931, 0.8629599771044368, 0.8628592043791795, 0.8627588347448233, 0.8626584651104671, 0.8625536614761995, 0.8624532918418433, 0.862352922207487, 0.8622384443915947, 0.8621380747572385, 0.8620377051228822, 0.861937335488526, 0.8618369658541698, 0.8617365962198136, 0.8616362265854572, 0.8615354538602, 0.8614350842258438, 0.8613347145914875, 0.8612343449571312, 0.861133572231874, 0.8610332025975178, 0.8609324298722605, 0.8608320602379043, 0.860731690603548, 0.8606313209691918, 0.8605309513348355, 0.8604301786095783, 0.860329808975222, 0.8602294393408657, 0.8601290697065095, 0.8600287000721533, 0.859927524255995, 0.8598267515307377, 0.8597263818963814, 0.8596207720803118, 0.8595204024459556, 0.8594200328115994, 0.8593196631772431, 0.8592164719065797, 0.8591156991813224, 0.8590149264560651, 0.8589105259126986, 0.8588101562783423, 0.858708577371283, 0.8586074015551247, 0.8585058226480654, 0.858403437559204, 0.8583030679248478, 0.8582026982904915, 0.8581019255652342, 0.858001555930878, 0.8579011862965217, 0.8578004135712645, 0.8576996408460071, 0.8575980619389478, 0.8574976923045916, 0.8573973226702354, 0.8572969530358792, 0.8571961803106218, 0.8570958106762656, 0.8569954410419094, 0.8568942652257511, 0.8567914770459887, 0.8566911074116323, 0.8565907377772761, 0.8564895619611178, 0.8563891923267616, 0.8562888226924054, 0.8561884530580491, 0.8560856648782867, 0.8559852952439304, 0.8558849256095742, 0.8557833467025149, 0.8556829770681587, 0.8555805919792973, 0.8554794161631389, 0.8553770310742775, 0.8552766614399213, 0.855175485623763, 0.8550702788985944, 0.8549691030824361, 0.8548683303571788, 0.8547679607228226, 0.8546667849066643, 0.854566415272308, 0.8544660456379518, 0.8543632574581894, 0.8542624847329321, 0.8541596965531697, 0.8540569083734073, 0.85395613564815, 0.8538533474683876, 0.853748946925021, 0.8536485772906648, 0.8535482076563086, 0.8534474349310514, 0.8533454529330909, 0.8532446802078336, 0.8531439074825764, 0.8530435378482202, 0.852943168213864, 0.8528427985795076, 0.8527424289451514, 0.8526420593107952, 0.852541689676439, 0.8524413200420827, 0.8523409504077264, 0.8522405807733702, 0.852140211139014, 0.8520390353228556, 0.8519386656884994, 0.8518382960541432, 0.8517371202379849, 0.8516367506036286, 0.8515287222421528, 0.8514283526077966, 0.8513275798825393, 0.851227210248183, 0.8511268406138268, 0.8510256647976685, 0.8509248920724113, 0.850824522438055, 0.8507237497127977, 0.8506201553512333, 0.850519785716877, 0.8504190129916197, 0.8503186433572635, 0.8502182737229073, 0.850117904088551, 0.8500167282723927, 0.8499155524562344, 0.8498151828218782, 0.8497123946421158, 0.8496108157350564, 0.8495104461007001, 0.8494084641027398, 0.8493080944683835, 0.8492057093795222, 0.8491045335633639, 0.8490041639290077, 0.8489037942946513, 0.848802215387592, 0.8487014426623348, 0.8486006699370775, 0.8485003003027213, 0.848399930668365, 0.8482983517613057, 0.8481979821269494, 0.8480976124925932, 0.8479948243128308, 0.8478916330421673, 0.8477912634078111, 0.8476892814098508, 0.8475792375938698, 0.8474772555959095, 0.8473768859615531, 0.8472765163271969, 0.8471761466928407, 0.8470757770584845, 0.8469754074241282, 0.8468722161534648, 0.8467718465191085, 0.8466714768847523, 0.846570704159495, 0.8464699314342378, 0.8463695617998815, 0.846265161256515, 0.8461647916221587, 0.8460640188969014, 0.8459636492625452, 0.845863279628189, 0.8457629099938327, 0.8456625403594764, 0.8455617676342192, 0.845461397999863, 0.8453610283655068, 0.8452606587311504, 0.8451598860058932, 0.845059516371537, 0.8449591467371808, 0.8448587771028244, 0.8447584074684682, 0.844658037834112, 0.8445572651088546, 0.8444560892926964, 0.8443533011129339, 0.8442525283876767, 0.8441521587533205, 0.8440517891189642, 0.843950613302806, 0.8438502436684496, 0.8437498740340934, 0.8436495043997372, 0.8435487316744799, 0.8434483620401236, 0.8433479924057674, 0.8432476227714112, 0.8431468500461539, 0.8430464804117976, 0.8429461107774414, 0.8428457411430852, 0.842745371508729, 0.8426441956925707, 0.8425438260582144, 0.8424430533329571, 0.8423426836986009, 0.8422423140642447, 0.8421419444298884, 0.842039962431928, 0.8419363680703635, 0.8418359984360073, 0.8417315978926407, 0.8416312282582845, 0.8415308586239283, 0.841430085898671, 0.8413289100825128, 0.8412269280845524, 0.8411265584501961, 0.8410261888158399, 0.8409258191814836, 0.8408254495471273, 0.8407246768218701, 0.8406243071875139, 0.8405239375531576, 0.8404235679188014, 0.840322392102643, 0.8402220224682868, 0.8401180250158213, 0.8400148337451578, 0.8399144641108016, 0.8398136913855444, 0.8397129186602871, 0.8396125490259309, 0.8395093577552674, 0.839408181939109, 0.8393078123047528, 0.8392074426703966, 0.8391062668542383, 0.8390054941289811, 0.8389047214037237, 0.8388043517693675, 0.8387027728623082, 0.838602403227952, 0.8385012274117937, 0.8384008577774373, 0.8383004881430811, 0.8381993123269228, 0.8380985396016656, 0.8379981699673094, 0.837896994151151, 0.8377950121531906, 0.8376946425188344, 0.8375934667026761, 0.8374922908865178, 0.8373919212521616, 0.8372887299814982, 0.8371883603471418, 0.8370879907127856, 0.8369876210784294, 0.8368872514440732, 0.8367868818097169, 0.8366865121753607, 0.8365841270864993, 0.836483757452143, 0.8363825816359848, 0.8362773749108161, 0.8361725712765485, 0.8360722016421923, 0.8359714289169351, 0.8358710592825788, 0.8357706896482225, 0.8356703200138663, 0.8355699503795101, 0.8354695807451539, 0.8353671956562925, 0.8352664229310351, 0.8351656502057779, 0.8350652805714217, 0.834959670755352, 0.8348593011209958, 0.8347589314866396, 0.8346581587613823, 0.834557789127026, 0.8344566133108677, 0.8343562436765115, 0.8342558740421553, 0.834155504407799, 0.8340551347734427, 0.8339547651390865, 0.8338543955047303, 0.8337540258703741, 0.8336536562360178, 0.8335532866016615, 0.8334517076946022, 0.833351338060246, 0.8332509684258897, 0.8331505987915335, 0.8330498260662762, 0.8329474409774148, 0.8328470713430586, 0.8327366244361766, 0.8326358517109194, 0.8325354820765631, 0.8324318877149987, 0.8323315180806423, 0.8322311484462861, 0.8321299726301278, 0.8320296029957716, 0.8319284271796132, 0.831828057545257, 0.8317276879109008, 0.8316273182765446, 0.8315265455512872, 0.83142577282603, 0.8313217753735644, 0.8312197933756041, 0.8311194237412479, 0.8310174417432875, 0.8309170721089313, 0.830816299383674, 0.8307159297493177, 0.8306139477513574, 0.8305135781170012, 0.8304132084826449, 0.8303128388482887, 0.8302124692139324, 0.8301120995795762, 0.83001172994522, 0.8299109572199627, 0.8298097814038043, 0.8297090086785471, 0.8296082359532898, 0.8295034323190222, 0.829403062684666, 0.8293022899594088, 0.8292019203250525, 0.8291011475997953, 0.829000777965439, 0.8288991990583796, 0.8287988294240234, 0.8286984597896672, 0.8285932530644986, 0.8284928834301424, 0.828392513795786, 0.8282901287069246, 0.8281897590725684, 0.8280885832564101, 0.8279878105311529, 0.8278874408967967, 0.8277854588988363, 0.82768508926448, 0.8275847196301238, 0.8274843499957676, 0.8273815618160051, 0.8272811921816489, 0.8271788070927875, 0.8270768250948272, 0.8269764554604709, 0.8268756827352136, 0.8267749100099564, 0.8266745403756001, 0.8265741707412438, 0.8264733980159866, 0.8263698036544221, 0.8262682247473627, 0.8261678551130065, 0.8260670823877493, 0.8259651003897889, 0.8258619091191255, 0.8257615394847692, 0.8256591543959079, 0.8255587847615515, 0.8254580120362943, 0.8253576424019381, 0.8252572727675818, 0.8251565000423245, 0.8250561304079683, 0.8249557607736121, 0.8248549880483548, 0.8247542153230976, 0.8246538456887412, 0.824553476054385, 0.8244531064200288, 0.8243527367856726, 0.8242459176968998, 0.8241451449716426, 0.8240447753372863, 0.823943196430227, 0.8238428267958707, 0.8237420540706135, 0.8236416844362572, 0.823541314801901, 0.8234381235312376, 0.8233377538968812, 0.823237384262525, 0.8231362084463667, 0.8230342264484064, 0.8229338568140502, 0.8228334871796938, 0.8227311020908326, 0.8226307324564762, 0.82253036282212, 0.8224299931877638, 0.8223296235534076, 0.8222288508281502, 0.822128078102893, 0.8220264991958337, 0.8219245171978733, 0.8218241475635171, 0.8217237779291608, 0.8216234082948045, 0.8215230386604483, 0.8214226690260921, 0.8213206870281318, 0.8212199143028744, 0.8211195446685182, 0.821019175034162, 0.8209184023089047, 0.8208180326745484, 0.8207168568583901, 0.8206160841331329, 0.8205141021351725, 0.8204133294099152, 0.8203105412301528, 0.8202101715957966, 0.8201093988705392, 0.820009029236183, 0.8199086596018268, 0.8198082899674706, 0.8197079203331143, 0.8196075506987581, 0.8195071810644018, 0.8194068114300456, 0.8193056356138873, 0.819205265979531, 0.8191044932542738, 0.8190029143472144, 0.8189021416219572, 0.818801771987601, 0.8187014023532447, 0.8186006296279874, 0.818498244539126, 0.8183962625411657, 0.8182954898159084, 0.8181943139997501, 0.8180895103654825, 0.8179891407311263, 0.8178831278241556, 0.8177827581897994, 0.817679970010037, 0.8175796003756807, 0.8174788276504235, 0.8173784580160672, 0.817278088381711, 0.8171773156564537, 0.8170761398402954, 0.8169757702059391, 0.8168754005715829, 0.8167750309372267, 0.8166746613028704, 0.8165597803960771, 0.8164594107617209, 0.8163590411273647, 0.8162586714930083, 0.81615749567685, 0.8160567229515928, 0.8159555471354345, 0.8158547744101773, 0.8157527924122169, 0.8156524227778607, 0.8155516500526033, 0.815450071145544, 0.8153488953293857, 0.8152485256950295, 0.8151433189698609, 0.8150425462446036, 0.8149421766102474, 0.8148418069758911, 0.8147390187961288, 0.8146386491617724, 0.8145378764365152, 0.814437506802159, 0.8143367340769017, 0.8142363644425454, 0.814134382444585, 0.8140340128102288, 0.8139336431758726, 0.8138324673597143, 0.813730888452655, 0.8136297126364966, 0.8135293430021404, 0.8134285702768831, 0.8133282006425269, 0.8132278310081706, 0.8131262521011113, 0.813025479375854, 0.8129251097414978, 0.8128239339253395, 0.8127235642909832, 0.812623194656627, 0.8125224219313697, 0.8124220522970135, 0.8123212795717563, 0.8122209099374, 0.8121185248485386, 0.8120177521232813, 0.8119173824889251, 0.8118170128545689, 0.8117166432202126, 0.8116158704949553, 0.811515097769698, 0.8114147281353418, 0.8113143585009855, 0.8112139888666293, 0.811113216141372, 0.8110128465070158, 0.8109092521454513, 0.8108088825110951, 0.8107085128767388, 0.8106081432423826, 0.8105077736080264, 0.8104074039736701, 0.8103066312484128, 0.8102054554322545, 0.8101050857978983, 0.8100047161635421, 0.8099043465291857, 0.8098039768948295, 0.8097036072604733, 0.8096012221716119, 0.8095008525372557, 0.8094004829028995, 0.8092997101776421, 0.8091993405432859, 0.8090989709089297, 0.8089986012745735, 0.8088982316402172, 0.8087978620058609, 0.8086974923715047, 0.8085971227371485, 0.8084963500118911, 0.8083959803775349, 0.8082944014704756, 0.8081928225634163, 0.8080924529290601, 0.8079920832947037, 0.8078917136603475, 0.8077885223896841, 0.8076877496644268, 0.8075869769391696, 0.807482979486704, 0.8073826098523478, 0.8072802247634864, 0.8071790489473281, 0.8070786793129718, 0.8069783096786156, 0.8068710874989419, 0.8067699116827836, 0.8066687358666252, 0.806567963141368, 0.8064675935070118, 0.8063672238726555, 0.8062664511473983, 0.8061640660585369, 0.8060636964241806, 0.8059633267898244, 0.8058593293373588, 0.8057581535212006, 0.8056557684323392, 0.8055553987979829, 0.8054526106182205, 0.8053522409838643, 0.805250662076805, 0.8051502924424487, 0.8050442795354781, 0.8049435068102208, 0.8048431371758645, 0.8047427675415083, 0.8046423979071521, 0.8045420282727958, 0.8044412555475385, 0.8043400797313802, 0.804239710097024, 0.8041389373717667, 0.8040385677374104, 0.8039373919212521, 0.8038370222868959, 0.8037358464707376, 0.8036338644727773, 0.803533494838421, 0.8034331252040647, 0.8033327555697085, 0.8032279519354409, 0.8031275823010847, 0.8030272126667285, 0.8029256337596692, 0.8028252641253129, 0.8027248944909566, 0.8026241217656994, 0.8025205274041349, 0.8024201577697787, 0.8023197881354224, 0.8022186123192642, 0.8021174365031059, 0.8020154545051454, 0.8019150848707892, 0.801814715236433, 0.8017139425111757, 0.8016123636041164, 0.801511590878859, 0.8014079965172947, 0.8013072237920373, 0.8012052417940769, 0.8011048721597207, 0.8010040994344635, 0.8009033267092062, 0.8008021508930478, 0.8007017812586916, 0.8006014116243354, 0.8005010419899792, 0.800400672355623, 0.8003003027212666, 0.8001999330869104, 0.8000995634525542, 0.7999951629091876, 0.7998947932748314, 0.7997940205495742, 0.7996936509152179, 0.7995932812808616, 0.7994929116465054, 0.7993913327394461, 0.7992909631050898, 0.7991905934707336, 0.7990898207454763, 0.7989894511111201, 0.7988882752949618, 0.7987858902061004, 0.7986851174808431, 0.7985847478464868, 0.7984843782121306, 0.7983836054868734, 0.798280817307111, 0.7981804476727546, 0.7980800780383984, 0.7979764836768339, 0.7978761140424777, 0.7977745351354184, 0.7976737624101611, 0.7975733927758049, 0.7974726200505476, 0.7973714442343893, 0.7972710746000331, 0.7971698987838748, 0.7970695291495186, 0.7969667409697561, 0.7968663713353998, 0.7967655986101426, 0.7966648258848853, 0.7965644562505291, 0.7964640866161729, 0.7963637169818165, 0.7962633473474603, 0.796161768440401, 0.7960613988060448, 0.7959594168080844, 0.7958590471737281, 0.7957586775393719, 0.7956575017232136, 0.7955571320888574, 0.7954555531817981, 0.7953551835474418, 0.7952548139130855, 0.7951544442787293, 0.795054074644373, 0.7949537050100168, 0.7948525291938585, 0.7947517564686012, 0.794650983743344, 0.7945453739272743, 0.7944417795657098, 0.7943414099313536, 0.7942398310242943, 0.7941394613899381, 0.7940390917555818, 0.7939387221212255, 0.7938383524868693, 0.793737176670711, 0.7936368070363548, 0.7935356312201964, 0.7934352615858402, 0.7933340857696819, 0.7932337161353257, 0.7931333465009694, 0.793031364503009, 0.7929309948686528, 0.7928306252342966, 0.7927302555999404, 0.7926286766928811, 0.7925283070585247, 0.7924279374241685, 0.7923271646989113, 0.7922255857918519, 0.7921244099756937, 0.7920236372504363, 0.7919232676160801, 0.7918224948908228, 0.7917221252564666, 0.7916217556221103, 0.7915213859877541, 0.7914210163533979, 0.7913206467190416, 0.7912202770846853, 0.7911195043594281, 0.7910191347250719, 0.7909187650907156, 0.7908183954563593, 0.790717219640201, 0.7906164469149438, 0.7905160772805876, 0.7904153045553303, 0.790314934920974, 0.7902145652866178, 0.7901137925613605, 0.7900130198361033, 0.7899062007473305, 0.7898058311129743, 0.7897018336605088, 0.7895994485716474, 0.7894990789372911, 0.7893987093029349, 0.7892979365776777, 0.7891975669433214, 0.789095988036262, 0.7889948122201037, 0.7888928302221434, 0.7887920574968861, 0.7886916878625299, 0.7885884965918665, 0.7884881269575101, 0.7883873542322529, 0.7882869845978967, 0.788181777872728, 0.7880797958747677, 0.7879794262404115, 0.7878790566060553, 0.7877754622444908, 0.7876726740647283, 0.7875674673395597, 0.7874658884325004, 0.7873655187981442, 0.787265149163788, 0.7871647795294316, 0.7870644098950754, 0.7869640402607192, 0.786863670626363, 0.7867628979011057, 0.7866625282667494, 0.7865609493596901, 0.7864601766344328, 0.7863598070000766, 0.7862594373657203, 0.786156649185958, 0.7860562795516017, 0.7859559099172454, 0.7858555402828892, 0.785755170648533, 0.7856548010141767, 0.7855532221071174, 0.7854524493818601, 0.7853520797475039, 0.7852464699314342, 0.785146100297078, 0.7850457306627218, 0.7849453610283655, 0.7848385419395928, 0.7847377692143356, 0.7846373995799792, 0.784537029945623, 0.7844366603112668, 0.7843354844951085, 0.7842306808608409, 0.7841303112264847, 0.7840295385012274, 0.7839291688668711, 0.7838287992325149, 0.7837280265072577, 0.7836268506910994, 0.783524868693139, 0.7834244990587828, 0.7833233232426244, 0.7832225505173672, 0.7831217777921099, 0.7830201988850506, 0.7829190230688923, 0.7828130101619216, 0.7827126405275654, 0.7826114647114071, 0.7825102888952488, 0.7824095161699915, 0.7823079372629321, 0.7822075676285759, 0.7821067949033187, 0.7820060221780614, 0.7819040401801011, 0.7818024612730416, 0.7817016885477844, 0.7816013189134282, 0.7814997400063688, 0.7813993703720126, 0.7812953729195471, 0.7811893600125764, 0.7810813316511006, 0.7809809620167444, 0.7808805923823882, 0.7807786103844278, 0.7806766283864675, 0.7805762587521112, 0.7804758891177549, 0.7803747133015967, 0.7802715220309332, 0.780171152396577, 0.7800707827622207, 0.7799704131278644, 0.7798684311299041, 0.7797664491319437, 0.7796648702248844, 0.7795645005905282, 0.779464130956172, 0.7793633582309146, 0.7792621824147563, 0.7791614096894991, 0.7790610400551429, 0.7789598642389846, 0.7788594946046283, 0.778759124970272, 0.7786583522450148, 0.7785575795197575, 0.7784568067945002, 0.778356437160144, 0.7782560675257877, 0.7781540855278274, 0.7780529097116691, 0.7779525400773128, 0.7778509611702535, 0.7777505915358972, 0.777650221901541, 0.7775498522671848, 0.7774486764510264, 0.7773470975439671, 0.7772447124551057, 0.7771443428207495, 0.7770439731863933, 0.7769436035520371, 0.7768432339176807, 0.7767408488288194, 0.7766400761035621, 0.7765389002874038, 0.7764377244712455, 0.7763365486550872, 0.7762285202936114, 0.7761281506592552, 0.7760277810248989, 0.7759249928451365, 0.7758238170289782, 0.7757210288492158, 0.7756206592148596, 0.7755186772168992, 0.7754170983098398, 0.7753163255845826, 0.7752131343139191, 0.7751111523159587, 0.7750043332271861, 0.7749039635928299, 0.7748031908675725, 0.7747028212332163, 0.7746024515988601, 0.7745016788736028, 0.7744009061483456, 0.7743005365139892, 0.774200166879633, 0.7740981848816727, 0.7739978152473164, 0.7738966394311582, 0.7737954636149998, 0.7736950939806436, 0.7735927088917822, 0.7734923392574259, 0.7733911634412677, 0.7732891814433073, 0.773188811808951, 0.7730848143564856, 0.7729828323585252, 0.7728768194515545, 0.7727764498171983, 0.7726740647283369, 0.7725728889121786, 0.7724721161869214, 0.772371746552565, 0.7722713769182088, 0.7721710072838526, 0.7720706376494963, 0.7719702680151401, 0.7718698983807839, 0.7717691256555266, 0.7716683529302693, 0.771567580205012, 0.7714664043888537, 0.7713632131181903, 0.771262843483834, 0.7711616676676757, 0.7710608949424185, 0.7709601222171611, 0.7708577371282999, 0.7707569644030425, 0.7706565947686863, 0.7705562251343301, 0.7704558554999738, 0.7703550827747165, 0.7702547131403603, 0.7701543435060041, 0.7700535707807468, 0.7699523949645884, 0.7698516222393312, 0.7697512526049749, 0.7696500767888167, 0.7695493040635594, 0.769446918974698, 0.7693457431585397, 0.7692453735241834, 0.7691450038898272, 0.7690418126191637, 0.7689414429848075, 0.7688394609868472, 0.7687390913524909, 0.7686379155363326, 0.7685367397201743, 0.768436370085818, 0.7683360004514618, 0.7682356308171056, 0.7681348580918483, 0.768034085366591, 0.7679333126413338, 0.7678321368251755, 0.7677317671908191, 0.7676313975564629, 0.7675310279221067, 0.7674306582877505, 0.7673302886533943, 0.7672283066554338, 0.7671275339301766, 0.7670263581140183, 0.7669118802981261, 0.7668094952092647, 0.7667079163022054, 0.766607143576948, 0.7665067739425918, 0.7664060012173345, 0.7663052284920773, 0.76620445576682, 0.7661036830415627, 0.7660025072254044, 0.7659013314092461, 0.7658009617748899, 0.7657005921405337, 0.7655978039607712, 0.7654974343264149, 0.7653970646920587, 0.7652966950577025, 0.7651947130597421, 0.7650919248799797, 0.7649907490638214, 0.7648899763385641, 0.7647896067042078, 0.7646876247062475, 0.7645860457991882, 0.7644844668921288, 0.7643840972577726, 0.7642829214416142, 0.7641769085346436, 0.7640761358093864, 0.763974153811426, 0.7638733810861688, 0.7637709959973074, 0.763668207817545, 0.7635678381831887, 0.7634622283671191, 0.7633614556418618, 0.7632610860075055, 0.7631607163731493, 0.7630599436478921, 0.7629591709226348, 0.7628588012882785, 0.7627572223812192, 0.7626447600198321, 0.7625403594764656, 0.7624399898421093, 0.7623388140259509, 0.7622384443915947, 0.7621376716663375, 0.7620373020319813, 0.7619369323976249, 0.7618365627632687, 0.7617333714926053, 0.761633001858249, 0.7615326322238928, 0.7614322625895366, 0.7613266527734669, 0.7612258800482097, 0.7611255104138535, 0.7610251407794972, 0.7609247711451409, 0.7608244015107847, 0.7607236287855275, 0.7606232591511711, 0.7605228895168149, 0.7604225198824587, 0.760316506975488, 0.7602161373411318, 0.7601157677067756, 0.7600153980724194, 0.759914625347162, 0.7598142557128058, 0.7597126768057465, 0.7596119040804892, 0.759511131355232, 0.7594107617208756, 0.7593103920865194, 0.7592055884522518, 0.7591032033633904, 0.7590028337290342, 0.7589012548219749, 0.7588008851876187, 0.7587005155532625, 0.7586001459189061, 0.7584981639209458, 0.7583961819229854, 0.7582941999250251, 0.7581918148361637, 0.7580902359291044, 0.7579890601129461, 0.7578882873876888, 0.7577867084806295, 0.7576863388462732, 0.7575855661210159, 0.7574835841230556, 0.7573828113977983, 0.7572820386725411, 0.7571816690381848, 0.7570812994038285, 0.7569793174058682, 0.7568773354079078, 0.7567769657735516, 0.7566741775937892, 0.7565734048685319, 0.7564730352341756, 0.7563702470544132, 0.7562690712382549, 0.7561682985129977, 0.7560679288786414, 0.7559675592442852, 0.7558667865190279, 0.7557652076119685, 0.7556648379776123, 0.7555640652523551, 0.7554616801634937, 0.7553613105291375, 0.755258522349375, 0.7551581527150187, 0.7550577830806625, 0.7549566072645042, 0.7548542221756428, 0.7547538525412866, 0.7546530798160294, 0.754552710181673, 0.7544523405473168, 0.7543519709129606, 0.7542511981877034, 0.7541480069170399, 0.7540464280099806, 0.7539432367393171, 0.7538352083778412, 0.753734435652584, 0.7536340660182278, 0.7535336963838716, 0.7534333267495152, 0.753332957115159, 0.7532325874808028, 0.7531314116646445, 0.7530245925758717, 0.7529242229415155, 0.7528194193072479, 0.7527186465819907, 0.7526178738567334, 0.7525175042223772, 0.75241673149712, 0.7523163618627636, 0.7522159922284074, 0.7521156225940512, 0.7520136405960908, 0.7519132709617345, 0.7518124982364773, 0.7517064853295067, 0.7516061156951505, 0.7515057460607941, 0.7514053764264379, 0.7513046037011807, 0.7512022186123193, 0.7510986242507548, 0.7509982546163986, 0.7508974818911412, 0.7507934844386758, 0.7506902931680123, 0.7505838771701406, 0.7504835075357844, 0.7503654019017829, 0.7502650322674266, 0.7501610348149611, 0.7500606651806049, 0.7499602955462487, 0.7498583135482882, 0.749757943913932, 0.7496571711886748, 0.7495563984634175, 0.7494552226472592, 0.749354449922002, 0.7492540802876456, 0.7491537106532894, 0.7490525348371311, 0.7489505528391708, 0.7488501832048146, 0.7487498135704582, 0.748649040845201, 0.7485470588472406, 0.7484462861219834, 0.7483455133967261, 0.7482451437623698, 0.7481431617644095, 0.7480419859482512, 0.7479404070411919, 0.7478400374068356, 0.7477376523179742, 0.7476360734109149, 0.7475357037765586, 0.7474353341422024, 0.7473349645078462, 0.7472345948734899, 0.7471342252391336, 0.7470334525138764, 0.7469318736068171, 0.7468311008815598, 0.7467299250654015, 0.7466295554310453, 0.746529185796689, 0.7464288161623328, 0.7463276403461745, 0.7462264645300162, 0.74612609489566, 0.7460257252613037, 0.7459237432633433, 0.7458233736289871, 0.7457221978128288, 0.7456218281784726, 0.7455194430896112, 0.7454182672734528, 0.7453158821845914, 0.7452098692776208, 0.7451094996432646, 0.7450083238271062, 0.74490795419275, 0.7448071814674927, 0.7447068118331365, 0.7446044267442751, 0.7445032509281168, 0.7444028812937605, 0.7443025116594043, 0.7442021420250481, 0.7441013692997908, 0.7440005965745335, 0.7439002269401773, 0.7437978418513159, 0.7436950536715534, 0.7435946840371972, 0.7434935082210389, 0.7433927354957817, 0.7432923658614254, 0.7431919962270692, 0.7430916265927129, 0.7429904507765546, 0.7428900811421983, 0.74278890532604, 0.7426885356916838, 0.7425853444210204, 0.7424841686048621, 0.7423805742432976, 0.7422802046089414, 0.7421794318836841, 0.7420790622493278, 0.7419778864331695, 0.7418755013443081, 0.7417751317099519, 0.7416747620755957, 0.7415731831685364, 0.741472410443279, 0.7413712346271207, 0.7412704619018635, 0.7411684799039031, 0.7410669009968438, 0.7409661282715865, 0.7408657586372303, 0.7407629704574679, 0.7406593760959034, 0.7405590064615472, 0.7404586368271909, 0.7403582671928347, 0.7402578975584784, 0.740155512469617, 0.7400551428352607, 0.7399547732009045, 0.7398544035665483, 0.73975322775039, 0.7396520519342317, 0.7395512792089745, 0.7394509095746181, 0.7393501368493609, 0.7392497672150047, 0.7391489944897474, 0.739047415582688, 0.7389466428574307, 0.7388458701321735, 0.7387450974069162, 0.7386410999544507, 0.7385395210473914, 0.7384351205040248, 0.7383327354151634, 0.7382311565081041, 0.7381299806919458, 0.7380288048757876, 0.7379260166960251, 0.7378244377889658, 0.7377240681546096, 0.7376172490658368, 0.7375164763405796, 0.7374148974335202, 0.7373133185264609, 0.7372117396194016, 0.7371113699850453, 0.7370069694416788, 0.736898941080203, 0.7367985714458467, 0.7366977987205895, 0.7365974290862333, 0.736497059451877, 0.7363954805448176, 0.7362951109104614, 0.7361943381852042, 0.7360927592781448, 0.7359911803710855, 0.7358908107367292, 0.7357900380114719, 0.7356892652862147, 0.7355888956518585, 0.7354885260175023, 0.7353869471104428, 0.7352865774760866, 0.7351858047508294, 0.7350854351164731, 0.7349846623912158, 0.7348830834841565, 0.7347823107588992, 0.7346779102155327, 0.7345763313084733, 0.7344751554923151, 0.7343747858579588, 0.7342715945872954, 0.7341712249529392, 0.7340704522276819, 0.7339640362298102, 0.7338620542318498, 0.7337616845974936, 0.7336613149631374, 0.7335609453287811, 0.7334601726035238, 0.7333598029691676, 0.7332586271530093, 0.7331554358823458, 0.7330546631570886, 0.7329538904318312, 0.7328523115247719, 0.7327519418904157, 0.7326515722560595, 0.7325459624399898, 0.7324455928056336, 0.7323452231712774, 0.7322448535369211, 0.7321444839025648, 0.7320441142682086, 0.7319437446338524, 0.7318429719085952, 0.7317421991833378, 0.7316418295489816, 0.7315414599146254, 0.731440687189368, 0.7313387051914078, 0.7312367231934473, 0.7311363535590911, 0.7310359839247349, 0.7309356142903787, 0.7308348415651214, 0.7307344719307651, 0.7306336992055078, 0.7305321202984485, 0.7304305413913892, 0.730330171757033, 0.7302298021226766, 0.7301290293974194, 0.7300286597630632, 0.7299278870378059, 0.729819455585429, 0.7297190859510728, 0.7296154915895083, 0.729513509591548, 0.729403465775567, 0.7293026930503098, 0.7292023234159535, 0.7291007445088942, 0.728999971783637, 0.7288996021492807, 0.7287992325149244, 0.7286976536078651, 0.7285972839735089, 0.7284957050664496, 0.7283953354320933, 0.728294965797737, 0.7281865343453602, 0.728085761620103, 0.7279841827130437, 0.7278838130786873, 0.7277834434443311, 0.7276830738099749, 0.7275818979938166, 0.7274791098140542, 0.7273779339978959, 0.7272775643635396, 0.7271771947291834, 0.7270764220039261, 0.7269760523695699, 0.7268652023717869, 0.7267648327374306, 0.7266636569212723, 0.7265604656506088, 0.7264596929253516, 0.7263589202000943, 0.7262581474748371, 0.7261577778404809, 0.7260570051152235, 0.7259562323899663, 0.72585586275561, 0.7257538807576497, 0.7256531080323924, 0.7255487074890259, 0.7254483378546696, 0.7253475651294123, 0.725245986222353, 0.7251452134970957, 0.7250448438627395, 0.7249444742283833, 0.724844104594027, 0.7247433318687697, 0.7246409467799083, 0.7245405771455521, 0.7244402075111959, 0.7243390316950375, 0.7242382589697802, 0.724137889335424, 0.7240185744287194, 0.7239141738853528, 0.7238138042509966, 0.7237134346166404, 0.7236130649822842, 0.723512695347928, 0.7234103102590665, 0.7233099406247103, 0.7232067493540468, 0.7231063797196906, 0.7230035915399282, 0.7229028188146709, 0.7228024491803147, 0.7227016764550573, 0.7226013068207011, 0.7224997279136418, 0.7223993582792856, 0.7222973762813252, 0.7221945881015628, 0.7220926061036024, 0.7219922364692462, 0.7218918668348899, 0.7217910941096327, 0.7216907244752764, 0.7215895486591181, 0.7214887759338608, 0.7213880032086035, 0.7212876335742473, 0.7211872639398911, 0.7210852819419308, 0.7209849123075744, 0.7208833334005151, 0.7207829637661589, 0.7206805786772975, 0.7205802090429413, 0.7204798394085851, 0.7203794697742287, 0.7202786970489715, 0.7201783274146153, 0.7200779577802591, 0.7199767819641008, 0.7198760092388434, 0.719773624149982, 0.7196724483338237, 0.7195712725176655, 0.7194700967015072, 0.7193681147035468, 0.7192673419782896, 0.7191669723439332, 0.719065796527775, 0.7189654268934187, 0.7188630418045574, 0.7187626721702011, 0.7186618994449439, 0.7185558865379732, 0.7184551138127159, 0.7183543410874587, 0.7182531652713003, 0.718151989455142, 0.7180500074571816, 0.7179496378228254, 0.7178444310976568, 0.7177436583723995, 0.7176432887380433, 0.7175429191036871, 0.7174425494693308, 0.7173417767440735, 0.7172414071097173, 0.717140231293559, 0.7170394585683018, 0.7169382827521434, 0.7168379131177872, 0.7167310940290145, 0.7166303213037573, 0.7165299516694009, 0.7164287758532427, 0.7163267938552823, 0.7162264242209261, 0.7161260545865699, 0.7160252818613125, 0.7159249122269563, 0.7158245425926001, 0.7157213513219366, 0.7156209816875804, 0.715518596598719, 0.7154166146007587, 0.7153138264209962, 0.71521345678664, 0.7151086531523724, 0.7150078804271152, 0.7149071077018578, 0.7148063349766006, 0.7147047560695412, 0.714604386435185, 0.7145040168008288, 0.7144028409846704, 0.7142964249867988, 0.7141952491706405, 0.7140944764453832, 0.7139937037201259, 0.7138909155403635, 0.7137905459060072, 0.713689370089849, 0.7135817448192742, 0.7134801659122149, 0.7133789900960565, 0.7132766050071951, 0.7131758322819379, 0.7130742533748786, 0.7129726744678192, 0.7128710955607599, 0.7127654857446902, 0.712665116110334, 0.7125639402941757, 0.7124615552053144, 0.7123607824800571, 0.7122600097547997, 0.7121596401204435, 0.7120588673951863, 0.711958094669929, 0.7118577250355728, 0.7117565492194144, 0.7116561795850582, 0.7115554068598009, 0.7114538279527416, 0.7113530552274844, 0.7112526855931282, 0.7111482850497616, 0.7110458999609002, 0.7109443210538409, 0.7108431452376825, 0.7107419694215242, 0.710641599787168, 0.7105412301528118, 0.7104404574275545, 0.7103392816113961, 0.7102389119770399, 0.7101369299790796, 0.7100361572538223, 0.7099353845285651, 0.7098346118033078, 0.7097334359871494, 0.709629035443783, 0.7095286658094266, 0.7094282961750704, 0.7093275234498132, 0.7092190919974364, 0.7091159007267729, 0.7090155310924167, 0.7089151614580604, 0.7088147918237042, 0.7087136160075459, 0.7086132463731896, 0.7085096520116252, 0.7084056545591596, 0.7083024632884962, 0.7082012874723379, 0.7081009178379817, 0.7080005482036253, 0.7079001785692691, 0.7077985996622098, 0.7076950053006453, 0.7075942325753881, 0.7074930567592298, 0.7073914778521705, 0.7072903020360122, 0.7071875138562497, 0.7070641680405348, 0.7069637984061786, 0.7068626225900203, 0.706761849864763, 0.7066602709577037, 0.7065599013233475, 0.7064591285980901, 0.7063587589637339, 0.7062555676930705, 0.7061551980587142, 0.706054425333457, 0.7059528464263977, 0.7058512675193382, 0.705750494794081, 0.7056493189779227, 0.7055469338890613, 0.7054465642547051, 0.7053457915294478, 0.7052442126223885, 0.7051438429880322, 0.7050374269901606, 0.7049370573558043, 0.704836687721448, 0.7047363180870918, 0.7046319175437253, 0.7045303386366659, 0.7044263411842004, 0.7043259715498442, 0.7042243926427849, 0.7041191859176162, 0.7040172039196559, 0.7039152219216955, 0.7038108213783291, 0.7037088393803687, 0.7036052450188042, 0.7034988290209325, 0.7033980562956752, 0.703297283570418, 0.7031965108451607, 0.7030945288472004, 0.702993756121943, 0.7028921772148837, 0.7027914044896264, 0.7026910348552702, 0.7025898590391119, 0.7024894894047556, 0.7023891197703994, 0.7022887501360432, 0.702188380501687, 0.7020880108673306, 0.7019852226875682, 0.701884449962311, 0.7017840803279548, 0.7016829045117965, 0.7015821317865392, 0.7014789405158758, 0.7013785708815194, 0.7012777981562622, 0.7011762192492029, 0.7010754465239456, 0.7009750768895894, 0.700874304164332, 0.7007727252572727, 0.7006723556229165, 0.7005711798067582, 0.7004691978087979, 0.7003684250835406, 0.7002672492673823, 0.700166073451224, 0.7000636883623625, 0.6999633187280063, 0.6998629490936501, 0.6997625794592939, 0.6996622098249377, 0.6995610340087793, 0.6994606643744231, 0.6993598916491658, 0.6992595220148096, 0.699154718380542, 0.6990543487461858, 0.6989531729300275, 0.6988524002047701, 0.6987512243886119, 0.6986496454815525, 0.6985472603926911, 0.6984468907583349, 0.6983453118512756, 0.6982429267624142, 0.698142154037157, 0.6980409782209986, 0.6979393993139393, 0.697838626588682, 0.6977374507725237, 0.6976370811381675, 0.6975363084129101, 0.6974335202331478, 0.6973323444169894, 0.6972319747826332, 0.6971295896937718, 0.6970251891504053, 0.6969232071524449, 0.6968224344271877, 0.6967216617019304, 0.696619276613069, 0.6965185038878118, 0.6964181342534554, 0.6963165553463961, 0.6962149764393368, 0.6961142037140796, 0.6960110124434161, 0.6959106428090599, 0.69580100208398, 0.6956994231769206, 0.6955946195426531, 0.6954942499082968, 0.6953938802739406, 0.6952931075486833, 0.695192334823426, 0.6950871280982575, 0.6949867584639012, 0.6948851795568418, 0.6947827944679805, 0.6946812155609211, 0.6945800397447628, 0.6944780577468025, 0.6943772850215452, 0.6942769153871889, 0.6941709024802183, 0.6940701297549611, 0.6939697601206049, 0.6938689873953475, 0.6937686177609913, 0.693667038853932, 0.6935573981288521, 0.6934570284944958, 0.6933566588601395, 0.6932558861348823, 0.693155516500526, 0.6930547437752688, 0.6929531648682095, 0.6928515859611502, 0.6927512163267938, 0.6926504436015366, 0.6925492677853783, 0.6924488981510221, 0.6923477223348637, 0.6922433217914972, 0.69214254906624, 0.6920409701591806, 0.6919406005248243, 0.691838618526864, 0.6917338148925964, 0.6916322359855371, 0.6915282385330715, 0.6914274658078143, 0.691326289991656, 0.6912255172663987, 0.6911227290866363, 0.6910199409068739, 0.6909187650907156, 0.6908183954563594, 0.690717219640201, 0.6906140283695377, 0.6905128525533794, 0.690412482919023, 0.6903117101937658, 0.6902113405594096, 0.6901101647432513, 0.690009795108895, 0.6899094254745388, 0.6898086527492815, 0.6897074769331232, 0.6896050918442618, 0.6895043191190046, 0.6894015309392421, 0.6893003551230839, 0.6891995823978265, 0.6890971973089651, 0.6889948122201037, 0.6888944425857475, 0.6887940729513913, 0.6886916878625299, 0.6885913182281737, 0.6884897393211143, 0.688388966595857, 0.6882861784160946, 0.6881858087817384, 0.6880822144201739, 0.6879798293313125, 0.6878778473333521, 0.6877722375172826, 0.6876706586102231, 0.6875698858849659, 0.6874683069779066, 0.6873647126163421, 0.6872639398910848, 0.6871631671658276, 0.6870615882587683, 0.686961218624412, 0.6868608489900557, 0.6867596731738974, 0.686656481903234, 0.6865553060870757, 0.6864549364527195, 0.686352148272957, 0.6862513755476998, 0.6861506028224424, 0.6860502331880862, 0.685949460462829, 0.6858490908284727, 0.6857467057396114, 0.6856455299234531, 0.6855443541072948, 0.6854431782911364, 0.6853415993840771, 0.6852400204770178, 0.6851388446608595, 0.6850380719356022, 0.6849348806649388, 0.6848175812127393, 0.6847172115783831, 0.6846164388531257, 0.6845148599460664, 0.6844132810390071, 0.6843129114046509, 0.6842081077703833, 0.684106528863324, 0.6840061592289677, 0.6839057895946115, 0.6838042106875521, 0.6837034379622948, 0.6836006497825324, 0.68349786160277, 0.6833966857866117, 0.6832943006977503, 0.6831890939725818, 0.6830871119746214, 0.6829831145221559, 0.6828819387059976, 0.6827811659807403, 0.682678780891879, 0.6825784112575227, 0.6824752199868592, 0.6823692070798886, 0.6822615818093138, 0.6821583905386503, 0.6820539899952839, 0.6819536203609275, 0.6818528476356703, 0.6817500594559079, 0.6816488836397496, 0.6815464985508882, 0.6814449196438289, 0.6813376974641552, 0.6812373278297988, 0.6811333303773334, 0.6810297360157689, 0.6809289632905117, 0.6808277874743534, 0.680727014749096, 0.6806262420238388, 0.6805145858442537, 0.6804134100280954, 0.6803130403937392, 0.6802042058504614, 0.680103433125204, 0.6799937924001241, 0.6798922134930648, 0.6797918438587086, 0.6796914742243524, 0.679589089135491, 0.6794883164102337, 0.6793863344122734, 0.679283949323412, 0.6791726962347279, 0.6790699080549655, 0.6789618796934896, 0.6788611069682324, 0.6787554971521628, 0.6786510966087963, 0.678550323883539, 0.6784499542491828, 0.6783471660694204, 0.6782411531624497, 0.6781319155282708, 0.6780311428030135, 0.6779291608050532, 0.6778255664434887, 0.6777223751728252, 0.677622005538469, 0.6775180080860035, 0.6774071580882205, 0.6773007420903487, 0.6772003724559925, 0.6770971811853291, 0.6769968115509729, 0.6768960388257156, 0.6767940568277552, 0.676693687193399, 0.6765929144681417, 0.6764905293792803, 0.676389756654023, 0.6762857592015575, 0.6761801493854879, 0.6760773612057255, 0.6759761853895672, 0.6758721879371017, 0.6757685935755372, 0.6756649992139727, 0.6755597924888042, 0.6754590197635468, 0.6753578439473886, 0.6752570712221313, 0.6751562984968741, 0.6750551226807158, 0.6749543499554584, 0.6748531741393001, 0.6747519983231418, 0.6746516286887856, 0.6745500497817263, 0.6744464554201618, 0.6743428610585973, 0.6742384605152308, 0.6741380908808745, 0.6740377212465183, 0.67393654543036, 0.6738353696142017, 0.6737321783435383, 0.6736281808910728, 0.6735270050749145, 0.6734185736225377, 0.6733182039881814, 0.673216625081122, 0.6731158523558648, 0.6730134672670034, 0.6729062450873297, 0.6728042630893692, 0.672703490364112, 0.6726023145479537, 0.6725015418226964, 0.672398350552033, 0.6722975778267757, 0.6721927741925081, 0.6720903891036467, 0.6719900194692905, 0.6718892467440333, 0.671788070927875, 0.6716808487482012, 0.671580479113845, 0.6714797063885877, 0.6713781274815284, 0.6712777578471721, 0.6711761789401128, 0.6710754062148555, 0.6709734242168951, 0.6708694267644296, 0.6707666385846672, 0.6706549824050821, 0.6705538065889238, 0.6704534369545676, 0.6703522611384093, 0.6702442327769336, 0.6701430569607753, 0.6700422842355179, 0.6699378836921515, 0.669834289330587, 0.6697323073326266, 0.6696307284255673, 0.6695243124276956, 0.6694219273388342, 0.6693207515226759, 0.6692191726156166, 0.6691175937085572, 0.6690111777106855, 0.6689087926218241, 0.6688072137147648, 0.6687052317168044, 0.6686040559006462, 0.6685020739026858, 0.6684004949956265, 0.6682985129976661, 0.6681961279088047, 0.6680848748201207, 0.6679841020948634, 0.6678780891878927, 0.6677688515537139, 0.6676656602830504, 0.6675644844668921, 0.6674620993780307, 0.6673484277439405, 0.6672472519277822, 0.667146479202525, 0.6670457064772677, 0.6669352595703857, 0.66682723120891, 0.6667216213928403, 0.666620445576682, 0.6665192697605237, 0.6664160784898603, 0.6663116779464937, 0.6662109052212365, 0.6661101324959792, 0.6660057319526126, 0.6659017345001471, 0.6657920937750672, 0.6656852746862945, 0.665581277233829, 0.6654805045085718, 0.6653773132379083, 0.6652741219672448, 0.6651729461510866, 0.6650697548804231, 0.6649669667006607, 0.6648633723390962, 0.6647593748866307, 0.664652958888759, 0.6645481552544914, 0.6644397238021146, 0.6643385479859563, 0.6642381783516, 0.6641313592628274, 0.664029377264867, 0.6639277983578077, 0.6638133205419154, 0.6637060983622417, 0.6635952483644587, 0.6634932663664983, 0.663391284368538, 0.6632876900069735, 0.663184901827211, 0.6630833229201517, 0.6629813409221914, 0.6628773434697258, 0.6627729429263594, 0.6626709609283989, 0.6625697851122406, 0.6624661907506761, 0.6623654180254189, 0.6622594051184483, 0.662158632393191, 0.6620534256680224, 0.6619458003974477, 0.6618385782177739, 0.6617257127654858, 0.6616253431311295, 0.6615249734967733, 0.6614028369537615, 0.6613016611376031, 0.6611996791396427, 0.6610948755053753, 0.6609876533257015, 0.6608872836913452, 0.6607857047842859, 0.6606837227863256, 0.6605805315156621, 0.6604765340631966, 0.660370521156226, 0.6602689422491667, 0.660149224251561, 0.6600420020718872, 0.6599376015285207, 0.6598323948033521, 0.6597259788054805, 0.6596155318985985, 0.659512340627935, 0.6594022968119541, 0.6592974931776865, 0.6591963173615282, 0.6590947384544689, 0.6589879193656961, 0.6588839219132306, 0.65877790900626, 0.6586727022810914, 0.6585638677378135, 0.6584614826489522, 0.6583570821055856, 0.6582518753804171, 0.6581511026551597, 0.6580471052026943, 0.657945929386536, 0.6578439473885755, 0.6577375313907039, 0.6576258752111188, 0.6575251024858616, 0.6574146555789796, 0.6573034024902956, 0.6572002112196321, 0.6570954075853646, 0.6569938286783052, 0.656893459043949, 0.6567918801368897, 0.6566911074116324, 0.6565875130500679, 0.6564855310521076, 0.6563827428723451, 0.6562759237835725, 0.6561703139675028, 0.6560634948787301, 0.6559615128807698, 0.655853887610195, 0.6557531148849377, 0.655647101977967, 0.6555330272529758, 0.6554229834369949, 0.6553177767118263, 0.6552069267140432, 0.6550960767162602, 0.6549900638092896, 0.6548888879931314, 0.6547768287226452, 0.6546647694521591, 0.6545619812723967, 0.6544595961835353, 0.654357614185575, 0.6542511981877033, 0.654149619280644, 0.654039172373762, 0.6539359811030986, 0.653831580559732, 0.6537291954708706, 0.653623988745702, 0.6535220067477416, 0.6534208309315834, 0.6533103840247014, 0.6532035649359287, 0.653096745847156, 0.6529939576673935, 0.6528863323968188, 0.6527847534897595, 0.6526682602193621, 0.6525598287669853, 0.652459459132629, 0.6523514307711532, 0.6522421931369743, 0.6521385987754098, 0.6520277487776268, 0.6519229451433592, 0.6518177384181907, 0.6517129347839231, 0.6516065187860515, 0.6514972811518726, 0.6513957022448132, 0.6512945264286549, 0.6511873042489812, 0.6510816944329115, 0.6509724567987327, 0.6508676531644652, 0.6507588186211872, 0.6506548211687218, 0.6505504206253552, 0.6504311057186506, 0.650324286629878, 0.6502182737229073, 0.6501166948158479, 0.6500131004542834, 0.64990990918362, 0.6498014777312432, 0.6496974802787777, 0.6495854210082915, 0.6494826328285291, 0.6493725890125482, 0.6492669791964786, 0.6491633848349141, 0.6490577750188445, 0.6489517621118739, 0.648842927568596, 0.6487401393888336, 0.6486381573908733, 0.6485305321202984, 0.6484297593950412, 0.6483181032154561, 0.6482100748539803, 0.6481060774015148, 0.6480012737672473, 0.6478992917692868, 0.6477932788623162, 0.6476759794101168, 0.64756754795774, 0.6474530701418477, 0.6473522974165904, 0.6472511216004321, 0.6471459148752635, 0.6470330494229753, 0.6469246179705985, 0.6468089308820032, 0.6467069488840428, 0.6466013390679732, 0.6464775901613573, 0.6463594845273558, 0.6462550839839892, 0.6461397999862949, 0.646030159261215, 0.6459201154452341, 0.6458153118109665, 0.6457032525404804, 0.6455940149063015, 0.6454859865448257, 0.6453856169104695, 0.6452852472761132, 0.645171172551122, 0.6450276721903556, 0.6449260932832963, 0.6448233051035339, 0.644714470560256, 0.6446124885622957, 0.6445080880189291, 0.6444000596574534, 0.6442783262053425, 0.6441199114812381, 0.6440054336653459, 0.6438841033041361, 0.6437788965789675, 0.6436740929446999, 0.6435531656743912, 0.6434479589492227, 0.6433306594970232, 0.6432109414994175, 0.6431061378651499, 0.6429831951403361, 0.6428683142335428, 0.6427631075083742, 0.6426304906019357, 0.6425063386044186, 0.6423962947884377, 0.642289072608764, 0.6421620989749398, 0.642053264431662, 0.6419516855246027, 0.6418448664358299, 0.6417404658924634, 0.6416324375309876, 0.6415292462603241, 0.6414276673532648, 0.6413087555374613, 0.6411991148123813, 0.6410854431782911, 0.6409629035443782, 0.6408508442738922, 0.6407448313669215, 0.6406424462780602, 0.6405332086438813, 0.6404284050096137, 0.6403256168298513, 0.6402212162864848, 0.6401188311976234, 0.6400180584723661, 0.6399076115654841, 0.6397878935678785, 0.6396726095701841, 0.6395657904814115, 0.6394368013930821, 0.6393287730316064, 0.6392183261247244, 0.639103445217931, 0.6390010601290697, 0.638894644131198, 0.6387805694062068, 0.6386765719537413, 0.6385584663197398, 0.6384411668675403, 0.6383234643244398, 0.6382186606901722, 0.6381070045105872, 0.6379953483310021, 0.6378748241515945, 0.6377462381541662, 0.6376365974290862, 0.6375330030675218, 0.6374322303422645, 0.6373306514352052, 0.6371919881652511, 0.6370831536219733, 0.6369662572606749, 0.6368348496269394, 0.636732464538078, 0.6366046847224518, 0.6364930285428667, 0.636385806363193, 0.6362842274561337, 0.6361794238218661, 0.6360697830967862, 0.6359641732807165, 0.635844858374012, 0.6357283651036145, 0.6356090501969099, 0.6354897352902052, 0.6353821100196305, 0.635277306385363, 0.6351704872965902, 0.6350660867532237, 0.6349616862098572, 0.6348568825755896, 0.6347484511232128, 0.6346456629434504, 0.6345360222183705, 0.6344142887662597, 0.6342977954958623, 0.6341974258615061, 0.6340962500453478, 0.6339874155020698, 0.6338830149587034, 0.6337685371428111, 0.6336584933268301, 0.6335569144197708, 0.6334517076946022, 0.63333722987871, 0.633227186062729, 0.6331243978829666, 0.6330187880668969, 0.6329107597054212, 0.6328103900710649, 0.6327039740731932, 0.6325834498937856, 0.6324746153505076, 0.6323480448075846, 0.6322347762643954, 0.6321340035391381, 0.6320332308138809, 0.6319227839069989, 0.6317821051825397, 0.6316273182765445, 0.631522917733178, 0.6313991688265621, 0.6312971868286017, 0.631191173921631, 0.6310484797426668, 0.6309299710177643, 0.630802191202138, 0.630691744295256, 0.6305607397524216, 0.6304490835728365, 0.630332187211538, 0.6301991672141984, 0.6300899295800196, 0.629969808491513, 0.6298452534030949, 0.6297444806778376, 0.6296175070440135, 0.6294897272283873, 0.6293873421395259, 0.6292398108697492, 0.6291229145084508, 0.6290056150562513, 0.6288661456044953, 0.6287480399704938, 0.6285976870644099, 0.6284783721577053, 0.6283675221599223, 0.6282413547079002, 0.6280845523473999, 0.6279559663499715, 0.6278249618071371, 0.6277008098096202, 0.6275665805395775, 0.6274105843608793, 0.6273069899993148, 0.6271840472745008, 0.6270397407319325, 0.626923247461535, 0.6267684605555399, 0.6266495487397363, 0.626520156560506, 0.6263972138356921, 0.6262791082016905, 0.6261638242039962, 0.6260376567519741, 0.6259352716631128, 0.6257937867568515, 0.6256817274863654, 0.6255350023983909, 0.6254318111277274, 0.6253032251302991, 0.6251831040417924, 0.6250690293168012, 0.6249533422282059, 0.6248263685943817, 0.6247251927782235, 0.624608296416925, 0.6244587496926431, 0.6243337915133241, 0.6242322126062648, 0.6240979833362221, 0.6239968075200638, 0.6238831358859737, 0.6237589838884566, 0.6236122588004821, 0.6234977809845899, 0.6233639548054482, 0.6232305317172075, 0.6231007364470762, 0.6229802122676685, 0.6228407428159124, 0.6227254588182181, 0.6226238799111588, 0.6225106113679696, 0.6223836377341454, 0.6222796402816799, 0.6221450079207362, 0.6219978797418606, 0.6218584102901045, 0.6217435293833112, 0.6216032537497531, 0.6214932099337722, 0.621379538299682, 0.6212574017566701, 0.6211473579406892, 0.621020384306865, 0.6209159837634985, 0.620770871039128, 0.6206152779513308, 0.6204681497724552, 0.6203572997746721, 0.6202500775949984, 0.6201432585062258, 0.6199800066913089, 0.619855854693792, 0.6197329119689782, 0.6195761096084778, 0.6194406710657321, 0.6193040232502832, 0.6191851114344796, 0.6190468512554266, 0.6189384198030498, 0.6188118492601267, 0.61869172817162, 0.6185659638104989, 0.6184393932675758, 0.6182571961803106, 0.6181479585461317, 0.618041945639161, 0.6179073132782174, 0.6177585727357376, 0.6176372423745279, 0.6174627040143823, 0.6173288778352406, 0.6172071443831298, 0.6170789614766026, 0.6169423136611537, 0.6168133245728245, 0.6166782891209797, 0.6165569587597699, 0.6164404654893725, 0.6163396927641153, 0.6162094944030828, 0.6160962258598937, 0.6159692522260695, 0.6158451002285525, 0.6157217544128376, 0.6156201755057783, 0.6154980389627664, 0.615324306784423, 0.6151892713325782, 0.6150292442448697, 0.6148873562477074, 0.6147406311597329, 0.6145910844354511, 0.6144802344376681, 0.6143431835313181, 0.614173885352886, 0.6140287726285154, 0.6138268240870999, 0.6136647815448862, 0.6135632026378268, 0.6134072064591286, 0.6132995811885539, 0.6131468097370638, 0.6129775115586316, 0.6127997484712777, 0.612665519201235, 0.6124913839319905, 0.6123099930265274, 0.6121330361209757, 0.6119306844886591, 0.6117573554012166, 0.6115550037688999, 0.6113711943180307, 0.6111898034125676, 0.6110132495979168, 0.61090481814554, 0.6107903403296477, 0.6106609481504174, 0.6104638366998142, 0.6103283981570684, 0.6101304805246631, 0.6099462679828929, 0.6097842254406791, 0.609643949807121, 0.6095318905366349, 0.6093371976314379, 0.6092251383609518, 0.6090804287274824, 0.6088450236412813, 0.6086225174639133, 0.6084443512856584, 0.6082149925629728, 0.6081097858378043, 0.6079961142037141, 0.6078925198421496, 0.607703067118666, 0.6075986665752994, 0.607481770214001, 0.607288286581507, 0.6070863380400914, 0.6068606071355152, 0.6066171402312935, 0.6064224473260965, 0.6062217080573841, 0.6061213384230277, 0.6059774349713604, 0.6057408206124563, 0.6055328257075253, 0.6053393420750314, 0.6051055493524344, 0.6049797849913134, 0.6048378969941511, 0.6046153908167831, 0.6043852259122955, 0.6041732000983542, 0.6039918091928911, 0.6037535824703829, 0.6036451510180061, 0.6034843177484954, 0.6033694368417022, 0.6032210993901235, 0.6031009783016168, 0.6029437728502155, 0.6026946626733795, 0.6025817972210913, 0.6024294288605023, 0.6022810914089236, 0.60211904886671, 0.6018949303257377, 0.6016571066941306, 0.6015188465150776, 0.6012915032468972, 0.6011854903399265, 0.6009928128892347, 0.6008698701644207, 0.6007142770766235, 0.6006018147152364, 0.6004026878101281, 0.6000874707255233, 0.599958884728095, 0.5997726567318196, 0.5996460861888965, 0.5994739663741571, 0.5993578761946606, 0.5991849501981191, 0.5990543487461858, 0.5988705392953165, 0.598725023480045, 0.5985291213021449, 0.5983944889412012, 0.5982042300359154, 0.5980933800381324, 0.5979039273146487, 0.597714474591165, 0.5974697984142404, 0.5972847796906681, 0.5970586456951907, 0.5969453771520016, 0.596729723519951, 0.5965958973408093, 0.5963810498905608, 0.5961770858946401, 0.5959900517165626, 0.5957691579027986, 0.5955273033621812, 0.5953737257288891, 0.5951270340974594, 0.5949581390099281, 0.5947416791960755, 0.5945655284723258, 0.5943107750228754, 0.5941600190258906, 0.5939230015760855, 0.5937565250339604, 0.5934900819483802, 0.593292567406876, 0.5930132254124628, 0.592836268506911, 0.592559345057904, 0.5924061705155129, 0.5921348903391204, 0.591909159434544, 0.5916439256216669, 0.5914246441715071, 0.5911727123583639, 0.5910086543616451, 0.5907152041856959, 0.5905265576440143, 0.5901843334690406, 0.5899803694731199, 0.5896869192971707, 0.5895091562098169, 0.5891217858539279, 0.5889174187671061, 0.5885582647742893, 0.5883498667784572, 0.5880060302398794, 0.5877726406081836, 0.5874267886151006, 0.5871897711652955, 0.5868148966273384, 0.586600452267991, 0.5862574219112152, 0.5860147611887957, 0.5855165408351237, 0.5852509039313456, 0.5848425728486031, 0.5845067981280458, 0.5840952423180952, 0.5838279930507129, 0.5834498937855476, 0.5831669239730252, 0.5827110281639613, 0.5823651761708782, 0.5819201638161422, 0.5816392094581249, 0.5811212376503025, 0.5807645022028918, 0.580227585122721, 0.5798559353119722, 0.5793073285956716, 0.5790033980562956, 0.5784410862493601, 0.5780432355300443, 0.5774200569970535, 0.5770439731863932, 0.5764332904713342, 0.5760572066606741, 0.5753562315837845, 0.5749539468645575, 0.5743440703313004, 0.5739619401571249, 0.5732129972630128, 0.5727647601810685, 0.5720234760140759, 0.5715716111140223, 0.5707424531306055, 0.5701837691417792, 0.5693312318861027, 0.5687503778977198, 0.567701132282341, 0.5670807753856573, 0.5660254834067631, 0.5654244748733287, 0.564223667079163, 0.5635408310928197, 0.5623734798434394, 0.5616152658586038, 0.5601955797051793, 0.5593631969945543, 0.5578560401156065, 0.5568789477715119, 0.5551811288963774, 0.5541875098253407, 0.5521611718658674, 0.5508700717098713, 0.5483838070323238, 0.5470261968776579, 0.5441372443899823, 0.5425740578757916, 0.5388470794048766, 0.5367417356288017, 0.5319425353611493, 0.52900118105634, 0.521643562839856, 0.5168367038450841, 0.5019203250525026, 0.4893962907575287], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.37919176111089864, 0.38068403395102174, 0.3820548932080022, 0.3833165664059804, 0.38493353677559, 0.3866744825976234, 0.3881131341405311, 0.38947193178357525, 0.3904717313753926, 0.39183650987989255, 0.39314750661798364, 0.3943662041350612, 0.39592674591985716, 0.39751224544332164, 0.3989379661694193, 0.4003713400727774, 0.40148461771278243, 0.4030104413876133, 0.40474015048424006, 0.4061189827448092, 0.40749789247379165, 0.4091206392741188, 0.41042184796851827, 0.4118733089781454, 0.41324625142492727, 0.4145575682456918, 0.41590403372291623, 0.4177662808720376, 0.41931044465801226, 0.4204698816376594, 0.42209725350753274, 0.4236000623375151, 0.42485211262977063, 0.4263057757555565, 0.42773432294322844, 0.42944422192326553, 0.43094470402864543, 0.4321815165479197, 0.433521377569889, 0.4347003479332901, 0.43623523132075376, 0.43764014887673014, 0.4392002511830272, 0.44042624189965246, 0.44161722091389877, 0.4429313326704184, 0.44426381378113367, 0.44525224612934833, 0.44655712821303123, 0.44759508944582566, 0.4490216027803782, 0.4506157119099935, 0.45182419845825317, 0.45308149587410607, 0.45448005585951623, 0.4557794864712093, 0.4573102143719205, 0.45873152075125834, 0.45965713299013355, 0.46137299825174993, 0.4629378481498723, 0.4642043716781046, 0.46563193077873144, 0.4668117150420165, 0.46814916215600477, 0.4693662051574419, 0.4706172644466935, 0.471986323496992, 0.47310902177258424, 0.4743052999219777, 0.475599413184814, 0.4768096054545145, 0.4780749824559713, 0.4794193502538521, 0.48076972388688477, 0.48208985747290284, 0.48347192783540954, 0.48490411528166516, 0.48624972701295893, 0.48751981396484556, 0.48894214608415787, 0.49028418030807425, 0.4916377468721367, 0.4928877597448072, 0.494420291481778, 0.4958128942968183, 0.49706047594205227, 0.4984651388208778, 0.49958008574781404, 0.5008417215823903, 0.5024190407067982, 0.5035854071830178, 0.5049349289631975, 0.5062350402916233, 0.5076781209979742, 0.5088463705690243, 0.5102556871451072, 0.5110778626059312, 0.5123233485841463, 0.5135287490783126, 0.5147820526021992, 0.5159066371428566, 0.5173373323117983, 0.518776047795841, 0.5200331170443016, 0.5211984367986522, 0.5222588687654448, 0.5234487779052325, 0.5245441503765981, 0.5257945043325317, 0.5267471600308568, 0.5281228986591497, 0.5295838228224091, 0.5310184943634189, 0.5322838838401106, 0.5334283394309579, 0.5344063505474606, 0.5357951745681568, 0.5369757151887119, 0.5386831937049841, 0.5398671406674043, 0.5408352790552066, 0.5420283124088426, 0.5433689227368096, 0.5446164995894635, 0.5457194003328617, 0.5467931329711039, 0.5481487483158864, 0.5495821785211905, 0.5508322923038586, 0.5519769894356139, 0.5532799147996361, 0.5543705631104713, 0.5557705839304286, 0.5566341542252333, 0.5576760070036026, 0.5588378978919105, 0.5602344790834, 0.5616594992539701, 0.5628624436661538, 0.5643513622589462, 0.5654380633151389, 0.5666599073639966, 0.5678300606871212, 0.5689125144718061, 0.5699882692062807, 0.5712855243044903, 0.572327680796797, 0.57343273453462, 0.5745149491480906, 0.5756037983989684, 0.5765936763656142, 0.5778528687426518, 0.5791485195429745, 0.5805532654522959, 0.5816943284291104, 0.5827017252065886, 0.5839395707131806, 0.5851192404943412, 0.5863156330793652, 0.5873824424098497, 0.5888119902051507, 0.5900313658226332, 0.591317958566391, 0.5927867011588457, 0.5943573211073359, 0.595633912888411, 0.5969984866595891, 0.5983087812830544, 0.599501807505439, 0.6005330906519074, 0.6018939445208739, 0.602952686250093, 0.6039988629311717, 0.6048889029235911, 0.6060105152763212, 0.6070847415518487, 0.6082021143090279, 0.6094455852156058, 0.610518185975752, 0.611729394333583, 0.6128567230173045, 0.6140852594902252, 0.6152697850753011, 0.6165335853678854, 0.617607970980642, 0.6187881828738766, 0.6202277781351127, 0.6214766799137338, 0.6224698681044876, 0.6235271038864124, 0.6248465347336964, 0.6258243954522059, 0.6269649775048322, 0.628063891632235, 0.6293273439361369, 0.6304733652423823, 0.6318803938801094, 0.6330309727659998, 0.6341413259311273, 0.6355113897619267, 0.6367042507891907, 0.6381642716809236, 0.6392986260864216, 0.6409233050640473, 0.6422548747188503, 0.6434846854283084, 0.6445982709481233, 0.646006253682218, 0.6477171759537751, 0.6493613496387662, 0.6506261418737403, 0.6517643248714214, 0.6533807105750848, 0.6548499729385497, 0.6561137267373124, 0.65755531820055, 0.6589324682089548, 0.660440103583604, 0.6618605227510664, 0.6631746130521361, 0.6648355871115065, 0.6661440531900594, 0.6676568378785497, 0.6691466446774077, 0.6713562673582362, 0.6730688300791086, 0.6752395876535873, 0.6772614256637987, 0.6793717908595385, 0.6813749648703359, 0.6836392871499397, 0.6867022984713516, 0.6883676377672869, 0.6898240543781026, 0.691072872019759, 0.6922398729901844, 0.6929211235270414, 0.6939564403931237, 0.6952404751413096, 0.6962664939767856, 0.6972476927497321, 0.698307929487011, 0.6993581102497826, 0.7003399976221429, 0.7012926445227562, 0.7022451374478017, 0.7032937180642318, 0.7042309829010904, 0.7051876275123055, 0.7060681417798098, 0.7069262929886977, 0.7077086824790225, 0.7084362185465386, 0.7092950348041932, 0.7101703176037019, 0.7110988914627284, 0.7119334977171623, 0.7128585916992772, 0.7137184304238134, 0.7144969843730967, 0.715269910716666, 0.7160881316015786, 0.7169187534636591, 0.7177719286535349, 0.7184551639873283, 0.7193162961323132, 0.7199894566371796, 0.7206085347859507, 0.7213180362447597, 0.722132608801342, 0.7229531989226392, 0.7238472380905072, 0.7245441983541351, 0.7254595618270744, 0.7262063370004, 0.7270820743323538, 0.7277754752944932, 0.728476042665853, 0.7291233407036372, 0.7300722304177593, 0.7307822873134797, 0.7312866803546999, 0.732105305681805, 0.7327677170743835, 0.7335145932049602, 0.7341869678450528, 0.7350162808850537, 0.7357347446935694, 0.7364041997823596, 0.7370933792424053, 0.7379429640344904, 0.7386724799986791, 0.7393404499235147, 0.7401012986566696, 0.7407111333909367, 0.7415167305780338, 0.7422427411912558, 0.7429703308207437, 0.7435899978377438, 0.7442416453429846, 0.7449709862123609, 0.7457042258718374, 0.7464588120368428, 0.7472826191833127, 0.7479081275906961, 0.7486220650703043, 0.7493147971554404, 0.7501237832821998, 0.7509707959233038, 0.7517274959337802, 0.7524492272890054, 0.7531022115067384, 0.7536468332315477, 0.7542658888455948, 0.7549548553109054, 0.7556918267156244, 0.7563033290600004, 0.7569159534376426, 0.7575581524458187, 0.758223560012775, 0.7588517147191127, 0.759585949102477, 0.7602893429942758, 0.7610121769248293, 0.7617690037581817, 0.7624818506513371, 0.7632224021643993, 0.7638363090431475, 0.7644094757287703, 0.7650728721651378, 0.765707446972008, 0.766312283610539, 0.7670197057466788, 0.7676851616444641, 0.7683856710554258, 0.7689429513039759, 0.7696689724502741, 0.7703298699846665, 0.7710970924466775, 0.7718284589988995, 0.7724958416603049, 0.7732665035465591, 0.7739333109890426, 0.7745648464135255, 0.7752433826952214, 0.7760033254625353, 0.7766530191173152, 0.7773590005102867, 0.7778652076236433, 0.7784201423317643, 0.7790101141216916, 0.7796607997064159, 0.7803975526907571, 0.7809423719305834, 0.7814674554131856, 0.7820647519759, 0.7826152204475008, 0.7831251207745846, 0.7837900294887152, 0.7842469556205353, 0.784819870676383, 0.7853309724592658, 0.7859338054222826, 0.7865677103599512, 0.7871187545758317, 0.7875776702723122, 0.7881268614638854, 0.7886445918710169, 0.7893196290764337, 0.7898584242711423, 0.7904338243457546, 0.7909615059492926, 0.791528109500803, 0.7921190476272263, 0.7926197087814514, 0.7931066510992054, 0.7936429299327972, 0.7941496785672081, 0.7947692624944955, 0.7952241690174866, 0.7957711992595714, 0.7963480010092596, 0.7967231937361989, 0.7972653850213982, 0.7978545153867231, 0.7983174692641242, 0.7988483277717858, 0.7992856599834555, 0.7997925354447565, 0.8002820796998567, 0.800749207776092, 0.8012035945612314, 0.8016337421752807, 0.8021399378370125, 0.8026726496135006, 0.8032356278696252, 0.8037469976428395, 0.8041663345123065, 0.8046320855686071, 0.805123283584807, 0.8055731320295677, 0.8060481669782972, 0.8065954633031563, 0.8070834705677044, 0.8075316659621783, 0.80803585713266, 0.8084442829111321, 0.8089050406667796, 0.8095016098301653, 0.8100755441872308, 0.8105657346277815, 0.8110800471280963, 0.8114790335342592, 0.8119502762587242, 0.8124591915999724, 0.8128908384406371, 0.8134185095183536, 0.8138695579398898, 0.8143013327835514, 0.8147960863174872, 0.8152859791284436, 0.8157284808245112, 0.8161954395261468, 0.8166970588161981, 0.817212960821549, 0.8176609426220302, 0.8181229417790878, 0.818553056143404, 0.8190013383991945, 0.8194607566053973, 0.8198421829098501, 0.8202545537720414, 0.8207347760442879, 0.8211862301726551, 0.8216149989706392, 0.8220363435909914, 0.8223575427299099, 0.8227892853947699, 0.8232142183042511, 0.8236701619596474, 0.8240997130198007, 0.8245752503252896, 0.8250465556732315, 0.8254093574317323, 0.8257655149118971, 0.826256198248619, 0.8266430162325134, 0.8270903228908937, 0.8275316873598251, 0.8279778159684045, 0.828383409756299, 0.8288582891810143, 0.8292739546505938, 0.8296961505433634, 0.8300826934886367, 0.8305052288168328, 0.8308869592280678, 0.8312555158868454, 0.8317260770849586, 0.8320963992689122, 0.8324722289744336, 0.8329287851812845, 0.8333324211000293, 0.8336741380852505, 0.8340862838558324, 0.8343653460096139, 0.8347403086545254, 0.8351024284873834, 0.835414727389662, 0.8358249736380707, 0.8361643721162377, 0.8365722800914043, 0.8369872452461354, 0.8373802722694221, 0.8377575053223766, 0.8381830384183382, 0.8385849720302018, 0.8390101070614011, 0.8395051272146522, 0.8398529061751847, 0.8402350613089616, 0.8406229782236475, 0.8410808707970299, 0.8413824325616759, 0.8417753953712294, 0.8421389234847653, 0.8424133601344742, 0.8427618218740934, 0.843191872546072, 0.8435321958400911, 0.8439213520420928, 0.8443003643087905, 0.8446544119775251, 0.8450452276754835, 0.8454062833056023, 0.8457488661202338, 0.8460213878291651, 0.8463410551064519, 0.8466700586475226, 0.8470935074105468, 0.8474067190525676, 0.8477334161424924, 0.8480635999306264, 0.8483466277504742, 0.8487369984031636, 0.8490618403550405, 0.8494151986680096, 0.8497117931491421, 0.8500395040446754, 0.8503977207226495, 0.8506910665004063, 0.8510760743602396, 0.851322576207759, 0.8516020141234633, 0.8520083265671221, 0.852330639542566, 0.8526819231920544, 0.8530314195601615, 0.8533999681163692, 0.8537139981086382, 0.8540440145648881, 0.854349973944135, 0.8545870052930461, 0.8548743639815527, 0.8552368937207648, 0.8555026128914717, 0.8558596876841018, 0.8561899820871357, 0.8564907821758765, 0.8567731333931219, 0.8570716116545087, 0.8573677690249, 0.8576593275925621, 0.8579807095966614, 0.8582386276472801, 0.8585732682205115, 0.8589235501278563, 0.8592161745091702, 0.8595491865341196, 0.8598227822435964, 0.8600884446818096, 0.8603324251302454, 0.8606181476858904, 0.8609227871581595, 0.8611857638327381, 0.8615142203224907, 0.8618695894618486, 0.8620745363245608, 0.8623479929465525, 0.8626618853467137, 0.8629809480821599, 0.8632564893200385, 0.8635500749068105, 0.8638799006150998, 0.8640861860597022, 0.8643606943382837, 0.8646284918840366, 0.8649231703027991, 0.865210216591432, 0.865505039361875, 0.8657751195035458, 0.8660095202278967, 0.8661797836828371, 0.866360710925144, 0.8666261676719781, 0.8669350627810404, 0.8671846733523585, 0.8675074827662929, 0.8678266512729959, 0.8681511341213396, 0.8683663225567639, 0.8686045831286789, 0.8688478633057898, 0.8691010428693218, 0.8693576756884248, 0.8696330585089156, 0.8700341875198193, 0.8702943484132108, 0.8706401039772214, 0.870860383559231, 0.8711013561424423, 0.871322929672853, 0.8715951727386425, 0.871862011492852, 0.8721011375419017, 0.8723778606564486, 0.8725523574252436, 0.8728419923593752, 0.873105384412313, 0.8733432533565395, 0.8736040615045119, 0.8738762760636807, 0.8740853020507637, 0.8743274143073488, 0.8745173842683882, 0.8747859704686863, 0.8750572119753754, 0.8752840747740045, 0.8755134904586896, 0.87581433684472, 0.8760983943188865, 0.8762992843586366, 0.8765206172507474, 0.8767570046229576, 0.8770117995929884, 0.8772435204530395, 0.877532281205165, 0.8778236007028757, 0.8780685645517985, 0.878301751461962, 0.8784866796608479, 0.8786572928787242, 0.8788909356400236, 0.879105141245901, 0.8793421281381023, 0.8795548818462767, 0.8797778300223346, 0.8799788651295805, 0.8802096710127237, 0.8804647785609689, 0.8806158199782855, 0.8808271017564078, 0.8811044258240744, 0.8813333542844348, 0.8815431403301048, 0.8817685847877995, 0.8820195157403271, 0.8822706453239918, 0.8825515467468035, 0.8827214861192098, 0.8829825490825517, 0.8831620658012472, 0.8833082282427146, 0.8834743699673773, 0.8838008420125947, 0.8839605430732593, 0.8841507862742892, 0.8844328941565361, 0.8846538343196622, 0.884872244906668, 0.8850476764522791, 0.8852116671443963, 0.885460849287198, 0.8856818415617507, 0.8858840590494118, 0.88608536144533, 0.8862903104431882, 0.886537198210042, 0.8867157418207746, 0.8869258651027323, 0.8870979192239279, 0.8872826613917447, 0.887485529301156, 0.8876557177905343, 0.8878538632177636, 0.8880606975981085, 0.8882875736785548, 0.888484860049525, 0.8887232302038424, 0.8889296437052175, 0.8890848510340607, 0.8892829803826031, 0.8894993501156412, 0.889684685348586, 0.8899108305940682, 0.890067997491997, 0.8902391420757597, 0.8903936559418113, 0.890611546929099, 0.8908320820850785, 0.8910458857133274, 0.8912386127766952, 0.8914356967093748, 0.8916037355807351, 0.8917824839841291, 0.8919813627760201, 0.8921607885415063, 0.8923462246128655, 0.8925383398500671, 0.8927284790858234, 0.8929347510429538, 0.8931262198476501, 0.8933507562745636, 0.8935542736072579, 0.8937576135102429, 0.8939714937569867, 0.8941489163150981, 0.8943562527377974, 0.8945385814425272, 0.8947270939776385, 0.8949276396196242, 0.8950930537626541, 0.8952927692431433, 0.8954616383189191, 0.8956020962632948, 0.8957862141778696, 0.895998672854643, 0.8961683243528016, 0.8963308555427972, 0.8965064889738628, 0.8966822305950118, 0.8968551871426578, 0.8970908534929889, 0.8972770873813833, 0.8974496738574516, 0.8976089549514773, 0.8977555958642768, 0.8979357339471224, 0.8980633569449519, 0.8982284429022103, 0.8983484457922669, 0.8985173413666087, 0.8986322773167277, 0.8987875287982651, 0.898982534603701, 0.8991051327318962, 0.8993029058416572, 0.8994799548632425, 0.8996398948663233, 0.8998621094537126, 0.9000128966427362, 0.9001725729844985, 0.9003140749397415, 0.9004541104136107, 0.9006001521695529, 0.9007557851474614, 0.9008770657720117, 0.901009063449019, 0.9011446312716856, 0.9013049811584934, 0.9014800882481522, 0.9016608046681197, 0.9018360895090075, 0.9020181309808892, 0.9022054299596929, 0.9023225712907934, 0.9024630108390728, 0.902599440095518, 0.9027687308366765, 0.9029458152021451, 0.9030983691205585, 0.9032730409040356, 0.9034379436900566, 0.9035863446782054, 0.9037422084113428, 0.9038763787027492, 0.904025762000559, 0.9041939954301417, 0.9043616684667567, 0.9045323410041199, 0.9047135192005069, 0.9048370538974783, 0.9050160727485259, 0.9051364369913857, 0.9052931897551483, 0.9053944016187301, 0.9055450009198034, 0.9056916866457655, 0.9058093665926474, 0.905948315734572, 0.9060706159123683, 0.9062208592732383, 0.9063763936126906, 0.906502915383084, 0.9066809500620416, 0.9068546252322135, 0.90700228302717, 0.9071664256392364, 0.9073467035329655, 0.9075226537403138, 0.907667723087491, 0.9078135427389777, 0.9079258511178548, 0.9080748824019275, 0.908209483135593, 0.9083631633813456, 0.90850757293921, 0.9086865121868495, 0.9088292205549056, 0.9089877104813051, 0.9090923338789897, 0.9092697751021512, 0.9094435725195502, 0.909586610646524, 0.9097116586810424, 0.9098499591939231, 0.9099767536686197, 0.9101028600141818, 0.910236141060504, 0.910358989878694, 0.9104682711429567, 0.9105637420553542, 0.9107032626953853, 0.910875350227001, 0.9110488662835105, 0.9111607917412187, 0.9112788089769901, 0.9114301114337573, 0.9115422118218047, 0.9116868635997173, 0.9118520100257693, 0.9120253931070638, 0.9121396505996956, 0.9122887900519793, 0.9124179392925097, 0.9125460177590041, 0.9126862900955091, 0.9128033793301406, 0.9129403787000245, 0.9131112260098155, 0.9132426887395468, 0.9133768810953143, 0.9135069256686494, 0.9136238251557097, 0.9137814146110638, 0.9138881141586915, 0.9140112271690496, 0.9141549605501652, 0.9142443065389664, 0.9143458815039138, 0.9145103893927913, 0.9146337040240966, 0.9147589875362322, 0.9148756283649747, 0.9149839628592503, 0.9151159884105483, 0.915209151344373, 0.9153440081229939, 0.9154812292105599, 0.9155860131938234, 0.9156854888745072, 0.9158190003192853, 0.9159349687973792, 0.9160652351614259, 0.9161990168270296, 0.9163401164578376, 0.9164452787144951, 0.916574238313638, 0.9167300940567489, 0.9168314824965798, 0.9169349413900358, 0.9170622676093219, 0.9172003857109272, 0.9172932393858484, 0.9174153645423897, 0.9175759954807208, 0.917721739356599, 0.9178448395231641, 0.9179339943190593, 0.9180379000252712, 0.918126047325795, 0.9182759001578749, 0.918395810481945, 0.9184895350776902, 0.9185960402730823, 0.9187323330244853, 0.9188500828794098, 0.9189729828627188, 0.9190855038887203, 0.9192274755771945, 0.9193555922876145, 0.919477158965416, 0.919565128592117, 0.919662431759989, 0.9197539654119183, 0.9198614303135727, 0.9199804427359938, 0.9200744348562209, 0.9201742878600232, 0.9203083434175656, 0.9204238291014409, 0.9205413124408686, 0.9206557437941006, 0.9207671198176138, 0.9208956257564407, 0.9209864945803453, 0.9210780469998953, 0.9211651010568395, 0.9212715939176921, 0.9214159877191209, 0.9215129161902313, 0.9216125827268355, 0.9217478126956727, 0.9218783987026847, 0.9219942543112771, 0.9220968917844444, 0.9221999661217921, 0.9222811117196312, 0.9223885706248247, 0.9224553927825039, 0.9225433535811101, 0.9226223228691264, 0.9227178212112372, 0.9227992722553722, 0.9229422207704887, 0.9230727778129019, 0.9232021615188694, 0.9232770957086743, 0.9234022767900741, 0.9235243825730339, 0.9236343847482879, 0.9237161780033746, 0.9238242127949482, 0.9239135425026866, 0.9240142387732749, 0.9241248379644593, 0.9242217609174671, 0.9243045687006987, 0.9244129807068276, 0.9245265590487465, 0.9246394039888771, 0.9247447876896765, 0.9248317362063303, 0.9249383923732656, 0.925056561929613, 0.925163650964898, 0.9252827202540432, 0.9254147439888776, 0.9255038979253721, 0.9256140518547847, 0.9257163243994337, 0.9258079097878, 0.9259098759080614, 0.9260000563688711, 0.9260712886900224, 0.9261872272724554, 0.9263032531331405, 0.9264018491860231, 0.9264696263609987, 0.9265743056891796, 0.9266659224882589, 0.9267452574734416, 0.9268729750406918, 0.9269552274065654, 0.9270529585307428, 0.9271654209156859, 0.9272640686040645, 0.9273365427738115, 0.9274344745798729, 0.9275245001094893, 0.9276316607251621, 0.9277036534014471, 0.9277855581407515, 0.9278741116577099, 0.9279651219406518, 0.9280378539475389, 0.9281568189865133, 0.9282626920925624, 0.9283761566724074, 0.9284752893318697, 0.9286347624366355, 0.9287161070549574, 0.9287657739467668, 0.9288507714567452, 0.9289234232529984, 0.9290184749262714, 0.9291047761273634, 0.9292018151593685, 0.9292572804024762, 0.9293600827721081, 0.9294685333169174, 0.9295362090701792, 0.929639019751652, 0.9297291220113996, 0.9298213262444043, 0.9299440272778674, 0.9300478859530659, 0.9301326724716262, 0.9302154190610982, 0.9303190654228182, 0.9304203503552391, 0.9305332957037551, 0.9306376794454053, 0.9307258160957353, 0.9308304397710829, 0.9309170773423632, 0.9310057024364956, 0.9311264922903015, 0.9312144569273497, 0.9313016533391433, 0.931423058978582, 0.9315171876310989, 0.9316065210968393, 0.9316797678137526, 0.9317542231136903, 0.9318384171190213, 0.9319299081099217, 0.9320016627839507, 0.9320690046454096, 0.9321856358760868, 0.9322594747954777, 0.932342665070688, 0.9324392273814891, 0.9325390373496875, 0.9326199122454768, 0.9327092864030148, 0.9327788110177363, 0.9328549261648049, 0.9329059686251058, 0.933007593505866, 0.9330651638757071, 0.9331515248893734, 0.9332496481748528, 0.933314189344763, 0.9334034945317283, 0.9334962866123334, 0.9335816103985981, 0.9336786271613656, 0.9337615600557535, 0.9338270603955848, 0.9339140906672329, 0.9339841448460307, 0.9340557658225423, 0.9341405134138946, 0.9342110304733939, 0.934280789494542, 0.9343554589154823, 0.9344423706631395, 0.9345289115386878, 0.9346008240927266, 0.9346991924641613, 0.93476831471805, 0.9348577912993117, 0.9349514410644928, 0.9350275892128294, 0.9350951982185272, 0.9351485189567513, 0.9352394464574147, 0.9353087396512977, 0.9353817639655204, 0.9354752474858288, 0.9355344373221862, 0.9356283716021788, 0.9356962005399516, 0.9357713903018624, 0.9358478653339041, 0.9359264171893812, 0.9360255736732541, 0.9360898604265343, 0.9361582674942949, 0.9362179380566142, 0.9362818872916606, 0.9363479099996629, 0.9364246194647325, 0.9365054613800688, 0.9365740266135342, 0.9366405657773085, 0.9367403557059334, 0.9368057214622781, 0.9368542706209217, 0.936906944529101, 0.9369965946950226, 0.9370772666055425, 0.9371414956954254, 0.9372358017582788, 0.9373289144462491, 0.9374117779291045, 0.937463387729543, 0.9375281643065014, 0.9375855787152858, 0.9376549607883026, 0.9377309627783253, 0.9378045215893033, 0.9378895995842805, 0.9379495813690887, 0.9380314768431678, 0.9381039731137387, 0.9381809798189744, 0.9382576042619688, 0.9383656491405683, 0.9384264538198404, 0.9384907494821683, 0.9385604426724004, 0.9386109000407458, 0.9387009338712037, 0.9387834784049526, 0.9388776711542013, 0.938959045331584, 0.9390432976598362, 0.9391339325172694, 0.93920264681555, 0.93926638737588, 0.939323960493387, 0.9393749202771993, 0.9394383121641642, 0.9395029719774888, 0.9395775609506204, 0.9396518443591454, 0.9397107959583357, 0.9397984222157119, 0.939881489325686, 0.9399621240587378, 0.9400261661234919, 0.9401030668422037, 0.9401520305087174, 0.940242348631646, 0.9403102366775932, 0.940399323558479, 0.940477676583365, 0.9405635570125395, 0.940643224741607, 0.9407231838017601, 0.9407787420865397, 0.9408618350329631, 0.9409448836346601, 0.941015530627941, 0.941083153434396, 0.9411437853572096, 0.9412093707337108, 0.9412655071988004, 0.9413140936333643, 0.9413787288428938, 0.9415054975785796, 0.9415729918046798, 0.9416200489696741, 0.941672088700777, 0.9417538996648387, 0.9418123106465354, 0.9418944453233459, 0.941980929962148, 0.9420597834132748, 0.9421214930622717, 0.942181678130473, 0.9422497200960992, 0.9423302631309657, 0.9424224192329634, 0.9425083223059163, 0.9426156377662777, 0.9426952202748905, 0.9427631546715824, 0.9428495952416166, 0.9428940851692148, 0.9429604403557212, 0.943028081471613, 0.9431108840462249, 0.9431949823735628, 0.9432479850722306, 0.9433140500918218, 0.9433792981604552, 0.9434306781054137, 0.9435035510561676, 0.9435768232729701, 0.9436413268659275, 0.9437083830321781, 0.9437825804788914, 0.9438340883799949, 0.9439230955523642, 0.9439615702772962, 0.944040962099777, 0.9441208331600899, 0.9441863813643677, 0.9442316336045833, 0.9442680558276682, 0.9443205682160839, 0.944400541984077, 0.9444926333617096, 0.9445502900358214, 0.9446138636824604, 0.9446681787954171, 0.9447123578002649, 0.9447624764537104, 0.9448307658393514, 0.9449088207192883, 0.9449543422691576, 0.9450043910593638, 0.945039700598883, 0.9451068816182989, 0.9451578800534108, 0.945214506942675, 0.9452778174123501, 0.945358195417996, 0.9454212557797351, 0.9454924045836484, 0.945550769827642, 0.9456143014078106, 0.9456629887983958, 0.9457202148799466, 0.9457961614283358, 0.9458410318801863, 0.9458872658864568, 0.9459330900746501, 0.9459647466163047, 0.9460138321593657, 0.9460758713601022, 0.9461276204427376, 0.9461878444088655, 0.9462498531644248, 0.9463085737745063, 0.9463596461015295, 0.9464230952993163, 0.9464648275290545, 0.9465223490237027, 0.9465993411931783, 0.9466556290196984, 0.9467290052406049, 0.9467955569721087, 0.9468518875057996, 0.9468945973272098, 0.9469379360177314, 0.9470016073652788, 0.9470533135163963, 0.9470995051705503, 0.9471717905305524, 0.9472193016235319, 0.9472693950365937, 0.9473190540425199, 0.9473751724854389, 0.9474565643039853, 0.9474883255428312, 0.947575313034133, 0.9476298056147697, 0.9476821751932595, 0.9477457052007857, 0.9478079728497619, 0.9478904158914419, 0.9479299803238757, 0.947988837458499, 0.9480489092013422, 0.9480889492446104, 0.948142762130575, 0.948187147902232, 0.9482452441630801, 0.948306844872065, 0.9483693276010723, 0.9484189400026011, 0.9484599486951714, 0.9485229221431806, 0.9485725866451944, 0.9486128046499374, 0.9486629080632791, 0.9487311270342703, 0.9487713917572546, 0.9488314748075752, 0.9488933024464987, 0.948940891182998, 0.9489816487936874, 0.9490129159166741, 0.9490674908202402, 0.9491220850106248, 0.9491844607527559, 0.9492165738636209, 0.9492680182227377, 0.9493252749060994, 0.949390523066739, 0.9494633660106645, 0.9495345100245559, 0.9495667814364924, 0.9496361962029002, 0.9496775009715471, 0.9497362010770424, 0.9497797898273143, 0.949851935223026, 0.9499375192406129, 0.9499820087360112, 0.9500460115712268, 0.950109605406866, 0.9501572013914111, 0.9502225256893647, 0.9502874868018666, 0.9503440351285173, 0.9503924141324727, 0.9504322976890148, 0.9504778084906526, 0.9505172626986361, 0.9505619577340608, 0.950608679299883, 0.9506529256685041, 0.9507102543181207, 0.9507741165316875, 0.9508101627176706, 0.9508762151889482, 0.9509231747029707, 0.9510027676423489, 0.9510549379524893, 0.9511024107291436, 0.9511402870641877, 0.9511834400706827, 0.9512274774929299, 0.9512936794368627, 0.9513290229063308, 0.9513700595415425, 0.9514263064329798, 0.9514746887856632, 0.9515144633377807, 0.9515834024835459, 0.9516392917014006, 0.9516677790843787, 0.9517331847584941, 0.9517904827459156, 0.9518643803656798, 0.9519225964392711, 0.9519803970927612, 0.952022500817457, 0.9520598148056413, 0.9521315371152395, 0.9521789303912325, 0.9522424650732038, 0.9522878829050476, 0.9523302779586069, 0.9523746771508925, 0.9524400644235975, 0.9524954353892263, 0.9525499508657415, 0.9526075497083117, 0.9526577263869995, 0.9527009137877144, 0.9527869331804513, 0.9528533583975227, 0.9528926368616369, 0.9529499217779339, 0.9529876544573049, 0.9530322586582551, 0.9530847731580047, 0.953114470675313, 0.9531547300348825, 0.9532006650756544, 0.9532479757429951, 0.9533141839574537, 0.9533703152058889, 0.9534119691815302, 0.9534624248979552, 0.9534957576338622, 0.9535365735597159, 0.9536077411727493, 0.9536560665118364, 0.9537052241215487, 0.9537659028031191, 0.9538186818257323, 0.9538741206717761, 0.9539022592379417, 0.9539554230105164, 0.9540184029817115, 0.9540535585389834, 0.9540901163220361, 0.9541478643945022, 0.9541997324702148, 0.9542376766372537, 0.9543073910123463, 0.954363853897761, 0.954418614113912, 0.9544636407444165, 0.9545135811697142, 0.9545538237204456, 0.9545998213068659, 0.954641837391075, 0.9546896117601318, 0.9547319311493533, 0.954775253716679, 0.9548151372578075, 0.9548598149021293, 0.9549028218626258, 0.9549436100153728, 0.9549835473498514, 0.9550212011988909, 0.9550717892759699, 0.9551308085893963, 0.9551623882479504, 0.9552068246019964, 0.955257479274746, 0.9553063787519376, 0.9553512846331244, 0.9553859869525406, 0.9554304774397543, 0.9554603450789162, 0.9555135290244634, 0.9555674030922071, 0.9555964192503612, 0.9556365633097743, 0.955674479697843, 0.9557319706729359, 0.9557725397092466, 0.9558256249959324, 0.9558560631949433, 0.9558724851720185, 0.9559376174370537, 0.9559867647695022, 0.9560287099816364, 0.9560761101726858, 0.9561257106900442, 0.9561895921769323, 0.9562201275489063, 0.9562514813412698, 0.9563190018326747, 0.9563611548458621, 0.9564184717509531, 0.9564489463462277, 0.9564898047447364, 0.9565310211033559, 0.9565950157999905, 0.9566426105733967, 0.9567035868840807, 0.9567471804923375, 0.9568006292706004, 0.9568429348614773, 0.9568977385955537, 0.9569430408551457, 0.956962993290903, 0.9570035663824331, 0.9570378755613339, 0.9570707943521455, 0.957115735519863, 0.9571545712583663, 0.957183926308352, 0.9572165220687312, 0.9572777465357587, 0.9573367757283101, 0.9573788138886408, 0.957412785939115, 0.957476796616219, 0.9575260473566185, 0.9575663334590544, 0.9576075291589229, 0.957649654847004, 0.957686862463459, 0.957746505254118, 0.9577882269191321, 0.9578085595122554, 0.9578615035120489, 0.9578911461669407, 0.9579162495829162, 0.9579427666161248, 0.9579876841378897, 0.9580258988137408, 0.9580807491077195, 0.958111215024281, 0.9581566601509268, 0.9582187548531151, 0.9582511547238447, 0.9582848748527473, 0.958313285926791, 0.9583610524126515, 0.9584114378876271, 0.9584790443797571, 0.9585183104440061, 0.9585436289757681, 0.9585851699018748, 0.9586289577087762, 0.958652032475233, 0.9586867927579543, 0.9587301094728349, 0.9587888483986609, 0.9588476088744897, 0.9588703034568213, 0.9589033812833877, 0.9589671553713991, 0.9590110154924778, 0.9590472733880242, 0.9590844652985625, 0.9591388320012281, 0.9591828084002482, 0.959216878139591, 0.9592608628668914, 0.9592958409492831, 0.9593334854023199, 0.9593906452028017, 0.9594287322610316, 0.9594746376982439, 0.9595155619589746, 0.9595682868879949, 0.9596056380288129, 0.9596380204081826, 0.9596749417769189, 0.959714592916837, 0.9597497263162665, 0.9597989190506117, 0.9598245212229681, 0.9598669426179413, 0.9599093592224204, 0.9599404137868475, 0.9599964653841556, 0.9600321380043717, 0.9600650991258509, 0.9600957822254476, 0.9601263994272969, 0.9601606776685659, 0.9602145527903452, 0.9602457145425258, 0.9602662668279774, 0.9602974837579755, 0.9603302655897616, 0.9603592293950075, 0.960389908289457, 0.9604166163558285, 0.9604446782906767, 0.960475042191185, 0.9605386332541226, 0.9605671828632159, 0.9605943568795079, 0.9606161129129573, 0.960647438191648, 0.9606810505534769, 0.9607169513209419, 0.960753560474594, 0.9607858390725212, 0.9608436550096998, 0.9608878133266902, 0.9609141637867293, 0.9609574173692097, 0.9609997545571893, 0.961022046562157, 0.9610552429725817, 0.9610921757831721, 0.9611227100093346, 0.9611660033980638, 0.9611933433028877, 0.9612472255623732, 0.9612730320168922, 0.9613004199902823, 0.9613145787250391, 0.9613392562889396, 0.9613706898396867, 0.9614173363195762, 0.961476332198535, 0.9615417745169283, 0.9615783884741829, 0.9616223570621318, 0.9616607729266645, 0.9616891991637817, 0.9617194662805623, 0.9617950636891851, 0.9618340105353835, 0.9618693215229589, 0.9619037632973653, 0.9619349881210697, 0.9619758720447927, 0.962038789025544, 0.9620709324308598, 0.9620944026673727, 0.9621321270318648, 0.9621753368366155, 0.9622011478290416, 0.9622283443971599, 0.9622771213748658, 0.9623103113560372, 0.9623434938471993, 0.9623835994996516, 0.9624001822836182, 0.9624287964516112, 0.9624376624884546, 0.9624750478016498, 0.9625023241274784, 0.9625383333851217, 0.9625743542813866, 0.9625961349482904, 0.9626395605993358, 0.9626857639528359, 0.9627172260892821, 0.9627422664232039, 0.962782837750593, 0.9628023656992751, 0.9628205165029915, 0.9628465095167575, 0.9628725103722517, 0.9629215781031554, 0.9629618807100374, 0.9629791103526452, 0.9630254516877945, 0.9630579622211807, 0.9630978693053133, 0.9631382513333733, 0.9631754138983935, 0.9632009522270344, 0.9632381367159134, 0.9632660912931704, 0.9632889528607412, 0.9633229330520683, 0.9633670959951314, 0.9633960128511172, 0.9634341894145764, 0.9634575742835975, 0.9634698613269507, 0.9635173229673955, 0.9635550627736469, 0.9635817209519096, 0.9636245420330082, 0.9636618196534259, 0.9637014781877178, 0.9637309560715563, 0.9637632236968647, 0.9637916714159228, 0.9638202325017605, 0.9638520482780917, 0.9638939385045032, 0.9639179077901553, 0.9639496848322892, 0.9639982303602969, 0.9640565753836894, 0.9640935846556069, 0.9641433149949378, 0.9641738140154194, 0.9642089682831829, 0.964236716649648, 0.9642705324068049, 0.9642950623538525, 0.9643330649554765, 0.9643486910848341, 0.9643816154215641, 0.9644178064351823, 0.9644431537175348, 0.9644630447799216, 0.9644921986780725, 0.9645428614177257, 0.9645785392617866, 0.9646203857531379, 0.9646645242446997, 0.9646938195952368, 0.9647350016882565, 0.964749851683083, 0.9647591289970013, 0.9647954503938089, 0.964819658883076, 0.9648494715867287, 0.9648792765926791, 0.9649002087989563, 0.9649211811105496, 0.9649832174265947, 0.9650084106954439, 0.9650233050550171, 0.9650723302277052, 0.9650975149585536, 0.9651250096213381, 0.9651511784360177, 0.9651792247210653, 0.9652082145750929, 0.965235157974891, 0.9652847421463724, 0.9653184400420982, 0.9653450807635829, 0.9653848819754087, 0.9654026995463912, 0.965426590596471, 0.9654456898399456, 0.9654902147179605, 0.9655089950488062, 0.9655291526377582, 0.9655596233675175, 0.9655867900949977, 0.96565105961615, 0.9656703469763545, 0.9657018142268596, 0.965721064871582, 0.965738478268366, 0.9657661009835657, 0.9657966640561082, 0.9658431436766836, 0.9658713985854592, 0.9659048101418413, 0.9659387020118932, 0.96599184574503, 0.966022021395019, 0.9660522064971393, 0.9660791112823477, 0.9661027339675224, 0.966144229000546, 0.9661833867814378, 0.9662089178510356, 0.9662286473494159, 0.9662584274805741, 0.9662816123581005, 0.9662987020577704, 0.9663355677234553, 0.9663507871004204, 0.9663730251315442, 0.9663929640492391, 0.9664077271440012, 0.9664229491605737, 0.9664504433520594, 0.9664774420195753, 0.9665062855888701, 0.9665380324575769, 0.9665787656947145, 0.9666077207446705, 0.9666333662433267, 0.9666664876904205, 0.9666945261895789, 0.966715021110108, 0.9667311432772512, 0.9667431506314078, 0.9667924203870505, 0.9668252072142056, 0.9668584931982778, 0.966888465871187, 0.9669151234047421, 0.9669815310318461, 0.9670115221298826, 0.9670429737321888, 0.967061094203813, 0.9670821551918128, 0.9671046258233139, 0.9671365683605181, 0.9671576501312128, 0.9671934145017433, 0.9672078820145646, 0.96723229901739, 0.9672557279459512, 0.9672910562606959, 0.9673173286201286, 0.9673441470855833, 0.967384720929093, 0.9674015697863905, 0.967460186742901, 0.967482253665582, 0.9675195561790563, 0.9675559219576596, 0.9675818583582466, 0.9676097014401848, 0.9676418261375579, 0.9676910249684576, 0.9677169829656949, 0.9677372482778358, 0.9677606555783419, 0.9677789219015238, 0.9678187090158299, 0.967832314846333, 0.9678673683341751, 0.9678881660116223, 0.9679218124893423, 0.9679530910556479, 0.9679719763395519, 0.9680089835226697, 0.9680226468757284, 0.9680539606115077, 0.9680700152775988, 0.9680961072055807, 0.9681398320492073, 0.968160639661115, 0.9681781805331477, 0.9682009690486282, 0.968219950964464, 0.9682503338493719, 0.968290787455787, 0.9683136071212373, 0.9683392802689004, 0.9683615902719268, 0.9683944212230851, 0.9684320514558202, 0.9684491815173969, 0.9684701207397218, 0.9684939470607582, 0.9685182582364879, 0.9685478318000036, 0.9685798037760869, 0.968619432663026, 0.9686557287089068, 0.9686800685063348, 0.9687001275057496, 0.9687273664425713, 0.9687512653258739, 0.9687741837348995, 0.9688047809355306, 0.96883348878385, 0.9688741581150275, 0.9689000133427557, 0.968931144377753, 0.9689526902609809, 0.968978554191492, 0.9690022795713813, 0.9690209860070207, 0.9690347669483247, 0.9690716243358498, 0.9690821982671821, 0.969104764110398, 0.9691321179797692, 0.9691518198342329, 0.9691839570821102, 0.9692089212129855, 0.9692429826655322, 0.969262217942698, 0.9692761922690142, 0.9692857418896462, 0.9693088495228789, 0.9693458809162484, 0.9693819787505936, 0.9694068524723941, 0.9694212802502229, 0.9694367343376281, 0.9694685415271681, 0.9694920618542382, 0.9695237972381143, 0.969541499830538, 0.9695819604071158, 0.9695993773342519, 0.9696293152024704, 0.9696419296888422, 0.9696723647997012, 0.9696912502868359, 0.9697019522946827, 0.969734322630521, 0.9697537075547407, 0.9697807645533661, 0.96983051723658, 0.9698393183570612, 0.9698693399974343, 0.9698949403687381, 0.9699254627368395, 0.9699400721601432, 0.9699773672246167, 0.9700006767475513, 0.970040407649931, 0.9700578951376746, 0.9700841105908651, 0.9701002053899297, 0.9701136958393528, 0.9701510601705498, 0.9701763544903593, 0.9702166415723429, 0.9702499362153371, 0.9703003902531412, 0.9703329800714433, 0.970360258715804, 0.9703986751882526, 0.9704356230817492, 0.9704443743902122, 0.9704615206554839, 0.9704888259097192, 0.9705098583255568, 0.9705546330222341, 0.9705848730619338, 0.9706180157312368, 0.9706516246172407, 0.9706862727470688, 0.9707000527985478, 0.9707279152932055, 0.970754816443739, 0.9707928553116143, 0.9708168493133568, 0.9708562067226143, 0.9708894708894709, 0.9709168903271168, 0.9709642294632144, 0.9709824555084661, 0.9710128032581015, 0.9710436901705873, 0.9710624224886316, 0.9710986593998685, 0.9711188209025462, 0.971142406787265, 0.9711606790070596, 0.9711794574874208, 0.9711962522066175, 0.9712169878389895, 0.9712419800646606, 0.971263500852237, 0.9712825221977502, 0.9713037706507474, 0.9713186942667974, 0.9713613297714694, 0.9713835170462554, 0.9714160017416971, 0.9714514213580757, 0.9715141247587495, 0.9715255802514988, 0.9715386020885747, 0.9715545541580505, 0.9715792919778106, 0.9715956855935021, 0.971620380206442, 0.9716446086779172, 0.9716635173312258, 0.9716814550614701, 0.971703290628273, 0.9717251186120518, 0.9717367086469454, 0.9717722573596218, 0.9717916624131722, 0.9718228323427592, 0.9718559678296428, 0.9718969236899621, 0.9719251774175611, 0.9719475701046525, 0.9719655805080374, 0.9719899575051639, 0.9720260318978865, 0.972053335052281, 0.9720816541981276, 0.9721089607381458, 0.9721299507301302, 0.9721563357123024, 0.9721709697725063, 0.9721875401671963, 0.9722192954020804, 0.9722593670520989, 0.9722833413097735, 0.9723058516983326, 0.9723239544616229, 0.9723425531549913, 0.9723699196202081, 0.972383118682287, 0.9724061241878365, 0.9724369915897915, 0.9724551025189446, 0.9724744558243448, 0.9724960439861265, 0.9725215688711142, 0.9725558631344995, 0.9725740059687856, 0.972585708827519, 0.9726083136959948, 0.972625953071618, 0.9726539391494022, 0.9726740916648798, 0.9727030228481313, 0.9727118304547, 0.9727381917271513, 0.9727505076515858, 0.9727662593726214, 0.9727864609036626, 0.9728037137158421, 0.9728273609862916, 0.9728372218323089, 0.9728707493742638, 0.9728978812793068, 0.9729200378142703, 0.9729442279989441, 0.9729738221752604, 0.9729980009407337, 0.9730138291832265, 0.9730478474479164, 0.9730888537407497, 0.9730962855366289, 0.9731066537419532, 0.9731284342837082, 0.973154542903665, 0.9731812218819225, 0.9732166649832017, 0.9732365000936621, 0.9732656622630713, 0.9732968516244619, 0.9733255929353123, 0.9733380405463754, 0.9733554367965762, 0.9733713544146408, 0.9733971702317856, 0.9734145830707237, 0.9734315062156164, 0.9734400071585891, 0.9734485104703868, 0.973458006283826, 0.9734749184395324, 0.9734887968113708, 0.9735334837022086, 0.973551901333982, 0.9735668694177088, 0.9736001787747718, 0.9736195659976693, 0.9736370297536879, 0.9736619499537835, 0.9736839022352842, 0.9736984207845135, 0.9737198756814592, 0.9737368847488547, 0.9737692836563479, 0.9738121041154155, 0.9738271224772592, 0.973848117363253, 0.9738676420190283, 0.9739010547609611, 0.9739429384174456, 0.973959438829657, 0.9739993447528688, 0.9740089654880261, 0.9740265441551812, 0.9740470190371553, 0.9740700798715682, 0.9740906075451983, 0.9741256237335699, 0.974160127513487, 0.9741821987003472, 0.9741928527371132, 0.9742159577094276, 0.9742694494825672, 0.9742890740835422, 0.9742967476432123, 0.9743099043902739, 0.9743340158431623, 0.974358161080658, 0.9743798210839342, 0.9744139537549537, 0.9744600678485221, 0.9744757680791737, 0.9744919196082297, 0.9745200914345641, 0.9745417708242108, 0.9745640253350647, 0.9745751944719953, 0.9746118609155471, 0.9746195962995837, 0.9746473285744965, 0.9747000397298371, 0.9747187857141758, 0.9747480341690999, 0.9747722926040678, 0.974796045666073, 0.9748093036427775, 0.9748335957078673, 0.9748473892593856, 0.9748946350762667, 0.9749114449110342, 0.9749252563464716, 0.9749410743721019, 0.9749653580625578, 0.9749831130105585, 0.9750229651443567, 0.9750498171231138, 0.9750651649268796, 0.9750864802907176, 0.9751017997255867, 0.9751131128660744, 0.9751440238645345, 0.9751643869786484, 0.9751705577442706, 0.9751979676419625, 0.9752268534836513, 0.9752502660653007, 0.975269619159238, 0.9752904717044267, 0.9753159264842778, 0.9753447400429889, 0.9753621613436705, 0.9753836200213362, 0.9754020701518843, 0.9754129741299578, 0.9754263946206458, 0.9754473731276664, 0.9754723429789195, 0.9754874235319291, 0.9755208712032727, 0.9755438903049252, 0.9755704139911854, 0.975591434740326, 0.97561496641885, 0.975636504009405, 0.9756736598421051, 0.9756972282264439, 0.9757202124171617, 0.9757276715285685, 0.975744203714808, 0.9757546924693724, 0.9757776242801354, 0.9758047472816834, 0.9758263440963019, 0.9758449212206293, 0.9758609815862119, 0.9758926881829397, 0.9759042063311896, 0.9759258349387776, 0.9759398978503467, 0.9759474012039492, 0.9759668519722, 0.9759824423585861, 0.9759950064644755, 0.9760212155455741, 0.976035292649729, 0.9760443322766686, 0.9760594030076449, 0.9760704585148767, 0.976121970046262, 0.9761482236037975, 0.9761744855148169, 0.97618139374816, 0.9762263311746041, 0.9762354092764701, 0.9762515400538448, 0.9762611306742452, 0.9762823708085291, 0.9762924751174742, 0.9763177296898486, 0.9763409657485765, 0.9763611687068087, 0.976382379338501, 0.976413759661247, 0.9764258957899973, 0.9764405831663254, 0.9764821316246428, 0.976495322441889, 0.9765394553549763, 0.9765510876360421, 0.9765774793490447, 0.9766028641724762, 0.9766252226528259, 0.9766369233329173, 0.9766541659754102, 0.9766724298997363, 0.9766841426783349, 0.9766947697469058, 0.9767100348339948, 0.976732941741014, 0.9767420554919638, 0.9767639330760456, 0.9768015966866564, 0.9768235148910597, 0.9768474751247085, 0.9768739753559262, 0.9768948610669682, 0.9769091713492587, 0.9769229646678175, 0.9769443526435022, 0.97697650363592, 0.976980064823737, 0.9770056077905159, 0.9770209667509203, 0.9770383450664734, 0.9770465168817197, 0.9770756548787876, 0.9770951012315421, 0.9771466990865466, 0.9771559717326295, 0.9771703493372028, 0.9772025807098519, 0.9772209698076388, 0.977257791007599, 0.9772741522545587, 0.9772924189612194, 0.9773170346722864, 0.9773212345068512, 0.9773412752146279, 0.9773643884295835, 0.9773972208711842, 0.9774075691678413, 0.9774189194561917, 0.9774592587088989, 0.9774844549851327, 0.9774936695875366, 0.9775040280745542, 0.9775154130961057, 0.9775365384695942, 0.9775535630399705, 0.9775782850821506, 0.9776076242204788, 0.9776169959933794, 0.9776473282386744, 0.9776643946362262, 0.9776809419944572, 0.9776952920205515, 0.9777282663924605, 0.9777458684534024, 0.9777793746774146, 0.9777908229697502, 0.977809923621266, 0.9778269427860292, 0.9778435470478881, 0.9778632245330757, 0.9778797348067226, 0.977889598165973, 0.9778937224452713, 0.9779113765812479, 0.9779321221137924, 0.9779574954603537, 0.9779827727822361, 0.9780025081124719, 0.9780268765993595, 0.9780429792527368, 0.9780622187447088, 0.9780649924979529, 0.9780888595971237, 0.9781106645343209, 0.9781330024871342, 0.9781445495036584, 0.9781689703484523, 0.9781954356859578, 0.9782028312838491, 0.9782149106202114, 0.978231629991953, 0.9782354617340314, 0.9782500819151391, 0.9782595867719828, 0.9782685788869925, 0.9782837718547016, 0.9782875792809332, 0.978293473545039, 0.9783050318428016, 0.9783253979846728, 0.9783348777404436, 0.9783464473478077, 0.9783482480819561, 0.9783567599510362, 0.9783657905401982, 0.9783706928218271, 0.9783724978701347, 0.9783758415055452, 0.9783781300786394, 0.9783866419530124, 0.9783992787612186, 0.978408324384342, 0.9784194402018954, 0.9784440009532067, 0.9784530342945169, 0.9784594844863891, 0.9784664765074418, 0.9784765743541809, 0.9784840426797574, 0.9784962158691813, 0.978499571578179, 0.978510197658149, 0.978519734597036, 0.9785458778706742, 0.9785637092446385, 0.9785747103560418, 0.9785998614017691, 0.9786094529496918, 0.9786180334648932, 0.9786364531936215, 0.9786465953526906, 0.9786660167787635, 0.9786802923451996, 0.9786935574562214, 0.9787265394305062, 0.9787387779011792, 0.9787437436375975, 0.9787616860838163, 0.9788035248786102, 0.9788349375508916, 0.9788544049167116, 0.9788573244818333, 0.9788747680157004, 0.9788823561570835, 0.9788961935218099, 0.9789027586862327, 0.9789176427607257, 0.9789236706006316, 0.9789422020707225, 0.9789820405409354, 0.9790031880977683, 0.9790154194444961, 0.9790355157274825, 0.9790534696561575, 0.9790631895153787, 0.9790781073357702, 0.9791076210407631, 0.9791173310354365, 0.9791311777342482, 0.9791341435772685, 0.9791595157548888, 0.9791687069152718, 0.9791961664008585, 0.9792231024789164, 0.9792359794670813, 0.9792467410598499, 0.9792590817087461, 0.9792777084335539, 0.9793047005999032, 0.9793159788779342, 0.9793361119698116, 0.9793401558030617, 0.9793546433392547, 0.9793686130121921, 0.979374230053383, 0.979392330849205, 0.9794037000682827, 0.97942291101224, 0.9794426505768213, 0.9794550559668933, 0.9794758303214315, 0.9794866866866867, 0.9795127243874348, 0.9795188816984717, 0.9795438861862612, 0.9795568523460821, 0.9795797445170652, 0.9796204640743682, 0.9796339716000101, 0.9796626695111632, 0.9796813383745498, 0.9796906489399644, 0.9797051256202934, 0.9797390504809428, 0.9797719604309137, 0.9797849708607372, 0.9797932662772304, 0.9798193509436548, 0.9798491483142939, 0.9798737417407706, 0.979883478717195, 0.9798907562710174, 0.9799074621621159, 0.9799220733440586, 0.9799534911134806, 0.9799581682562122, 0.9799774460189115, 0.9799903294007659, 0.9800181326773686, 0.9800569708903633, 0.9800684996159903, 0.9800863404439752, 0.9801020514914207, 0.9801377841953297, 0.9801503735188047, 0.9801760979552928, 0.9801934115110663, 0.9802249724824827, 0.980241794085695, 0.9802775748721695, 0.980287574930153, 0.9803023180222266, 0.9803138732491996, 0.9803212488808204, 0.9803428432598275, 0.980344955122719, 0.9803655054868836, 0.9803760244739094, 0.980388676805781, 0.9803980738569981, 0.9804128220481642, 0.9804423566887549, 0.9804481780657521, 0.9804528720289356, 0.9804681969620545, 0.980481932381299, 0.980486549299491, 0.980498675945728, 0.980530389990105, 0.9805473233713878, 0.9805542234890324, 0.9805590014582366, 0.9805733041929303, 0.9806082057590497, 0.9806187465696777, 0.9806473321531238, 0.9806621759366624, 0.9806902280622263, 0.9807162043983066, 0.9807384848816774, 0.9807484639731894, 0.9807797560509575, 0.9807935858415182, 0.9808047720269722, 0.9808323806674619, 0.9808504628326905, 0.9808807371563216, 0.9808972325353227, 0.9809073726050462, 0.9809090442362618, 0.9809255615851945, 0.9809441948719612, 0.9809495437298128, 0.9809670946010617, 0.9809767338976386, 0.9810022951300295, 0.9810114118715058, 0.9810242367084436, 0.981032828483714, 0.9810376956646224, 0.9810515717278451, 0.9810643897373594, 0.9810820235634045, 0.9811007255454046, 0.9811162345783666, 0.9811322901232729, 0.9811568462140308, 0.9811998272319887, 0.9812260087829129, 0.9812329678300358, 0.9812575262949293, 0.9812648617870748, 0.9812857383821615, 0.9813076963969349, 0.9813147238305223, 0.9813521255462205, 0.9813613224647513, 0.9813737181404332, 0.9813994065269012, 0.9814139433160834, 0.9814263224574621, 0.9814472643690147, 0.9814868734979814, 0.9815188299841023, 0.9815269865214112, 0.9815601981159097, 0.9815694404733043, 0.9815808201319244, 0.9816007429737219, 0.9816366674951177, 0.9816645552992421, 0.9816786069256584, 0.9816873414298531, 0.9817099683121527, 0.9817368671991848, 0.9817456144075408, 0.9817701414266363, 0.9817799655855896, 0.981809556953787, 0.9818182511444278, 0.9818184492565634, 0.9818496755815449, 0.9818723511392724, 0.981884340367502, 0.9819032817439399, 0.9819174108846653, 0.9819572562509133, 0.9819638710212256, 0.9819892649080317, 0.9820027922186682, 0.9820083844104313, 0.9820370130851751, 0.9820602714184268, 0.9820765872145012, 0.9821036423895299, 0.9821237342309601, 0.9821368589906392, 0.9821510509985579, 0.982155549715823, 0.9821735153429948, 0.9821882659627665, 0.9821965593424337, 0.9822295647648339, 0.9822362752002239, 0.9822624059254009, 0.9822889050910442, 0.9823063747707197, 0.9823136382934954, 0.9823348799387998, 0.9823426874820419, 0.982360127955579, 0.9823700928275956, 0.9823891374767565, 0.9824017997425027, 0.9824090272247374, 0.9824372938532172, 0.9824548138724384, 0.9824744832816588, 0.9825151694689055, 0.9825305273128729, 0.9825599245597492, 0.9825962980530644, 0.9826073364758919, 0.9826394183774556, 0.9826650800417175, 0.9826902109647686, 0.9827255878738852, 0.982748040148818, 0.9827791133615041, 0.9828004930774236, 0.9828348336012416, 0.9828567787705502, 0.9828943898740853, 0.9828984925948413, 0.9829139769405731, 0.9829370012872135, 0.9829676261761155, 0.9829922697133306, 0.9830050760416443, 0.9830135612124465, 0.9830220488942549, 0.9830381010067002, 0.9830492993743422, 0.9830767308901941, 0.9831133519005736, 0.9831445829030205, 0.9831692915553539, 0.9831788762899031, 0.9831998356499675, 0.9832348840450456, 0.9832628836897689, 0.9832757490094945, 0.9832913370898477, 0.9833139578789196, 0.9833273884114269, 0.9833494525175152, 0.9833618081528794, 0.9833779551619568, 0.9833885631978782, 0.9833938679024068, 0.9834149114045592, 0.9834495220633485, 0.9834580863113966, 0.9834791230972062, 0.9834991170594712, 0.9835135765023731, 0.9835237946365198, 0.9835503254744005, 0.9835562139233743, 0.9835664523088367, 0.9835783155503602, 0.9835891040672355, 0.9836112975508999, 0.9836220853847889, 0.9836366753493825, 0.9836561847136541, 0.9836706581360419, 0.983686904539924, 0.9836949995379217, 0.983718868202312, 0.9837536183185316, 0.9837780675309431, 0.9838248617230296, 0.9838455079578887, 0.9838618097174806, 0.9838982858339599, 0.9839063606531214, 0.9839183174448873, 0.9839373235228579, 0.9839634362354491, 0.9839742630057323, 0.9839796895648929, 0.9839904777065295, 0.9840029955898261, 0.9840144254109161, 0.9840274968550528, 0.9840514774971876, 0.9840733076362861, 0.984078754591973, 0.9840912889381959, 0.9841091776246736, 0.9841195342337319, 0.9841402902956287, 0.9841512105085948, 0.9841631838341, 0.9841648210261298, 0.9841927004150688, 0.9841952784867763, 0.9842072924920416, 0.9842319082377476, 0.9842521261743324, 0.984278956588691, 0.9842970157541739, 0.9843161762700847, 0.98432548141733, 0.9843390858185588, 0.9843506156920321, 0.9843862502777331, 0.9844081646747325, 0.9844197021416922, 0.9844285009131194, 0.984457607096688, 0.9844762900478836, 0.9844971740075583, 0.9845043522277362, 0.9845318259548845, 0.9845373645039722, 0.9845632137429061, 0.9845709297104016, 0.9845858063105133, 0.984634760986411, 0.9846490261159105, 0.9846583918886633, 0.9846782225755593, 0.9846964187598555, 0.9847113211951708, 0.9847322957133242, 0.9847543773205022, 0.984766003239564, 0.9847754229592478, 0.984792017849398, 0.9848074830049858, 0.9848119666004154, 0.9848280158044065, 0.9848495779525287, 0.9848744440696756, 0.9849086181161479, 0.9849180885576894, 0.984931971418594, 0.9849486066364717, 0.9849689470201567, 0.9849800282415334, 0.9849972392366629, 0.9850249379002876, 0.985041609902126, 0.9850582704481623, 0.9850721930931996, 0.9850888136398741, 0.9850999094178527, 0.9851171004499012, 0.9851536724152239, 0.9851604389786774, 0.9851760487935662, 0.9851994010870864, 0.9852067055154762, 0.985226686689147, 0.9852544742556658, 0.9852783913730532, 0.9852890316205534, 0.9853196017542579, 0.9853258000381907, 0.9853382219034078, 0.9853494567776109, 0.9853562492308955, 0.9853624981875934, 0.9853703941022925, 0.9853816407033947, 0.9853884503087553, 0.9854035819341139, 0.9854347335794155, 0.9854498775676893, 0.9854822058000287, 0.9854923469344691, 0.9855069282758411, 0.9855292968695031, 0.985538348597409, 0.9855590321786903, 0.9855614473355213, 0.9855910556627286, 0.985607332379418, 0.985618640720685, 0.9856276094158458, 0.9856450350251, 0.9856730229380449, 0.9856815701167259, 0.9856972646899778, 0.9857169122001234, 0.9857387419655976, 0.9857617636953746, 0.9857792067096098, 0.985815498771399, 0.9858435212378226, 0.9858442820214196, 0.9858539011873486, 0.9858669116770922, 0.9858687579248198, 0.9858839147013134, 0.9859153417629977, 0.9859228230300174, 0.985938107553329, 0.9859511438507003, 0.9859547322218026, 0.9859967735752078, 0.9860109645625429, 0.9860273988099278, 0.9860304350285682, 0.9860373931714603, 0.9860622090634688, 0.9860741969953545, 0.9860828395399966, 0.9860898098940686, 0.9861034354672127, 0.9861137539529363, 0.9861224078282285, 0.986134400464075, 0.9861514333566768, 0.986161718621612, 0.9861759744999977, 0.9862288015491677, 0.9862626209937133, 0.9862942308630172, 0.9863101959745613, 0.9863283964441691, 0.9863555411572004, 0.9863692850698247, 0.9863774197630989, 0.9863827420128453, 0.9864004087541514, 0.9864354367330577, 0.9864458276069648, 0.9864629222775325, 0.9864884671363663, 0.9865100969725276, 0.9865311733353488, 0.9865455279169497, 0.9865800617247807, 0.9866011602169422, 0.9866037436503121, 0.9866265360373734, 0.9866587938020532, 0.986667569377397, 0.9867044053287082, 0.986728345701581, 0.9867320661751647, 0.9867633068618448, 0.986768696753357, 0.9867904230424682, 0.9868053890288504, 0.9868248422393495, 0.9868415204898278, 0.9868615709355496, 0.9868804955522611, 0.9869095681063881, 0.9869127589482315, 0.9869300352010876, 0.9869439322535405, 0.9869555445780631, 0.9869683164984125, 0.9869805441387343, 0.986987669074413, 0.9870060263726579, 0.9870142918715872, 0.9870282177231351, 0.9870438389708167, 0.9870515430944133, 0.9870581514909174, 0.9870658971373464, 0.9870899798632714, 0.9870971465931484, 0.9871116651776605, 0.9871408170008998, 0.9871756751811461, 0.9871855360748862, 0.9871983700672599, 0.9872026782271619, 0.9872132815258009, 0.9872267128285097, 0.9872480517220854, 0.9872626158835197, 0.9872754088186426, 0.9872871626167796, 0.9873107726706253, 0.9873264584024292, 0.9873438607326249, 0.9873550526786855, 0.9873707604765608, 0.9873995122132964, 0.9874265829279688, 0.9874439369318436, 0.9874523297491039, 0.9874765910218503, 0.9875235138851679, 0.987533063660097, 0.9875703646825964, 0.9875979003618978, 0.9876068996754762, 0.9876170358627683, 0.9876322724357078, 0.9876548953388529, 0.9876661714982922, 0.9876933259562234, 0.987694949205895, 0.9877227062691096, 0.9877498981122163, 0.9877617593354889, 0.9877838620476306, 0.9877900516899889, 0.9877978915787391, 0.9878182990721197, 0.9878421096845393, 0.9878699288988384, 0.987896024031823, 0.9879232170366805, 0.9879396672439842, 0.9879566501600655, 0.9879680037599269, 0.9879895985510786, 0.9880089305005402, 0.9880100151841256, 0.9880333082430294, 0.9880629020729093, 0.9880714422024188, 0.988089657117057, 0.9880975861826344, 0.9881044121481161, 0.988115814274407, 0.988118090932118, 0.9881294986862812, 0.9881329118490229, 0.9881568746525599, 0.9881951092209327, 0.9882042472101518, 0.988232786826543, 0.9882470442870273, 0.9882624754529399, 0.9882755934722387, 0.9882881716602073, 0.9883116147439781, 0.9883264680801862, 0.9883356115116233, 0.9883522219606967, 0.9883819865842774, 0.9883997202326303, 0.9884071991547833, 0.9884243840815171, 0.9884290020419408, 0.9884456037432539, 0.9884559558733704, 0.9884702645046748, 0.988497765288387, 0.9885121123301319, 0.9885241133823159, 0.988529884012472, 0.9885614504013663, 0.9885683747059785, 0.9885787066882481, 0.9886005525774869, 0.9886155259382289, 0.9886287706891992, 0.9886506423606478, 0.9886581806092486, 0.9886657080218608, 0.9886846812546214, 0.988701971916015, 0.9887175592817278, 0.9887296676445243, 0.9887607625629783, 0.9887665968463524, 0.9887724394353106, 0.9887891933727596, 0.9887973397677294, 0.9888054561486003, 0.988822216977348, 0.9888292095268882, 0.988844829561347, 0.9888552720809503, 0.98887147016308, 0.988877899501405, 0.988884912703331, 0.9889010974941191, 0.9889130324692674, 0.988919485358328, 0.9889270854076488, 0.9889433136631548, 0.9889693397971053, 0.9889850236401386, 0.9889960321390907, 0.9890047901539609, 0.9890066530090077, 0.9890142815505684, 0.9890276593933613, 0.9890375940551106, 0.9890503839801431, 0.9890527936724588, 0.9890627306186954, 0.9890830395011924, 0.9890958069190416, 0.9891080521384662, 0.9891168050587038, 0.9891383106491032, 0.9891760039570217, 0.989180753375612, 0.9891965148917402, 0.9892162831378589, 0.9892232966591168, 0.9892239275797436, 0.9892512277087777, 0.9892594322717491, 0.9892677022392576, 0.9892759685080631, 0.9892830487100117, 0.9893011525480843, 0.9893198225451039, 0.9893263529472351, 0.9893368514270697, 0.989348617778998, 0.9893655452565929, 0.9893876991709616, 0.9894122222443489, 0.989426314593209, 0.9894323018739692, 0.9894435091498377, 0.9894493340045937, 0.989463441512575, 0.9894839471459443, 0.9894886645162387, 0.9895062734808348, 0.9895133054556269, 0.989517560198643, 0.9895334468510567, 0.9895441122618567, 0.9895640434929346, 0.98957238746127, 0.9895894310208064, 0.9896018251272098, 0.9896024644443988, 0.9896026509128226, 0.9896114791921136, 0.9896250723500775, 0.9896374335957083, 0.9896544710907127, 0.9896628415515791, 0.9896735484197213, 0.9896900426077471, 0.9896971796646936, 0.9897176622300872, 0.9897231378262195, 0.9897280145379048, 0.989737528884536, 0.989743556536415, 0.989763031277893, 0.9897713842549981, 0.9897761399288882, 0.9897838786388636, 0.9897905438366205, 0.9897977522528442, 0.9898079216976817, 0.9898163380666898, 0.9898352427379642, 0.9898611816219397, 0.98987369691151, 0.9898856085209089, 0.9899121471906215, 0.9899193726822965, 0.9899271609040002, 0.989960702190124, 0.9899808377323115, 0.9899939244398706, 0.9899982520414502, 0.9900072587499239, 0.9900302807258395, 0.9900399218460589, 0.9900624311204215, 0.9900831985304764, 0.9900934381663018, 0.9901013337747718, 0.9901080668126795, 0.9901218227700176, 0.9901390972284658, 0.9901587322246352, 0.990179528188961, 0.9901973722755602, 0.9902216697741869, 0.9902348259436905, 0.9902404220486054, 0.9902647855161517, 0.9902738957664409, 0.9902929818128179, 0.9903149794313294, 0.9903275833358519, 0.9903372966834577, 0.9903563034077201, 0.9903683848234915, 0.9903775165845076, 0.9903843131393827, 0.9903940264297739, 0.9904083752735782, 0.9904433729048705, 0.9904472453038917, 0.9904540527834729, 0.9904591040427253, 0.9904741207577239, 0.9904874117659634, 0.9905100640126683, 0.9905192238345965, 0.990531357451357, 0.9905340711635325, 0.9905461997577412, 0.9905576592696512, 0.9905621507404199, 0.9905678160468434, 0.9905705262782275, 0.9905844493815263, 0.9906013069406832, 0.9906111080368177, 0.9906262014066352, 0.9906389133592057, 0.9906427999923799, 0.9906565928716925, 0.9906669953942409, 0.9906768223170178, 0.990705526881413, 0.9907199805521776, 0.990737485206078, 0.9907656307182102, 0.9907689299529594, 0.9907852373002624, 0.9907950728951989, 0.9908125994546249, 0.9908188362094935, 0.9908505498321358, 0.9908775610798218, 0.9908803287856334, 0.9908937442321077, 0.9908970417027374, 0.9909128202800915, 0.9909262477678438, 0.9909349389530022, 0.9909519320268748, 0.9909547090126662, 0.9909722977552062, 0.9909768557785241, 0.9909897037996643, 0.9909899944632921, 0.9910028704700394, 0.9910097534396022, 0.9910112601524126, 0.9910264855689638, 0.9910322542038178, 0.991045126291131, 0.9910548864695505, 0.9910725297831806, 0.9910872170068642, 0.9911042834555124, 0.9911081666014735, 0.9911198023853474, 0.9911255350295686, 0.9911342980345387, 0.9911430638549371, 0.9911452697335488, 0.9911539976699272, 0.9911681258519577, 0.9911929601262964, 0.9912112146101408, 0.9912199646950538, 0.9912375668989952, 0.9912498574455442, 0.9912723055089294, 0.9912757569316603, 0.9912887026977036, 0.9913064160979659, 0.9913098692996173, 0.9913353353209008, 0.9913423477399183, 0.9913487561958809, 0.9913587371433037, 0.9913663061077372, 0.9913691292279421, 0.9913796577243571, 0.9913843196181021, 0.9913937648864404, 0.9914156582100931, 0.9914197211003123, 0.9914410968205231, 0.9914539588429401, 0.9914687091665613, 0.991506110083897, 0.9915119826757947, 0.9915208439393072, 0.9915243105141693, 0.9915271908530544, 0.9915522009485164, 0.9915736281146739, 0.9916004187127958, 0.9916062829245934, 0.9916301233525349, 0.9916468032401667, 0.9916544831735048, 0.9916616023941587, 0.9916668628327958, 0.9916979332369428, 0.9917032115412366, 0.9917054670845638, 0.9917203072932931, 0.9917374793542705, 0.9917626024689836, 0.9917757472473017, 0.9917778378185612, 0.9917831853939955, 0.991787325405842, 0.9917962301119355, 0.9917979095889036, 0.991812873279805, 0.9918188258968466, 0.9918295769073902, 0.9918373152168979, 0.9918588553486455, 0.9918827807424467, 0.9918887496139662, 0.9919107199313901, 0.9919190303805688, 0.9919219691177237, 0.9919236968720081, 0.9919302198871139, 0.9919559376939789, 0.9919643116978862, 0.991972004191367, 0.9920044299206447, 0.9920086283035532, 0.9920146287245247, 0.9920205681234135, 0.9920343702509674, 0.9920439377136291, 0.9920505066633316, 0.9920558296111164, 0.9920835241344714, 0.9921051784368168, 0.9921202006584523, 0.992129252105773, 0.9921430919923109, 0.9921455116601648, 0.9921473193767949, 0.9921641568700893, 0.9921724910282553, 0.9921803530762793, 0.992188103602987, 0.9921892065385048, 0.9922012734775748, 0.9922072863059932, 0.9922157551362806, 0.9922278657043386, 0.9922611149036872, 0.9922617495937495, 0.9922690005257153, 0.9922829229358525, 0.9922932125792419, 0.992307087511603, 0.992330660047256, 0.992351807117258, 0.9923633352278133, 0.9923705652271234, 0.9923954326233866, 0.9924045056796896, 0.9924086443816036, 0.9924176765851896, 0.9924255558133005, 0.9924327670832084, 0.9924381627599516, 0.9924430095548015, 0.9924842895811837, 0.9924921090159458, 0.9924975051775586, 0.9925072549868103, 0.9925151924354784, 0.9925219234021427, 0.9925462078243721, 0.9925541648725877, 0.9925650603102438, 0.9925687540151121, 0.9925742574257426, 0.9925810003347791, 0.9925980428765039, 0.9926041887964481, 0.9926316195556927, 0.9926480135427461, 0.9926589813846617, 0.9926663039642395, 0.9926821899995649, 0.9926846428982935, 0.9926914233488274, 0.9926962145141355, 0.992699879506621, 0.9927024176039839, 0.9927213126418887, 0.9927353287814359, 0.9927414930838928, 0.992756109251841, 0.9927665315813575, 0.9927769530468181, 0.992816645143621, 0.9928343831685698, 0.9928466078055211, 0.9928564801929678, 0.9928633097061814, 0.9928633634011986, 0.9928744202629064, 0.9928811685728707, 0.9928940727367536, 0.9929069377688804, 0.992907644366037, 0.9929413342619379, 0.9929467697103695, 0.9929621197713658, 0.9929677040082979, 0.9929702809979024, 0.9929783401838083, 0.992988852620558, 0.9929987008851106, 0.9930141060963769, 0.993017192667436, 0.99302649930265, 0.993027162137589, 0.9930517493623577, 0.9930598334236695, 0.9930709611289246, 0.9930735124305439, 0.9930919644190205, 0.993093328610823, 0.9931057338866356, 0.9931137927841733, 0.9931243791598988, 0.9931348545988385, 0.9931386250941046, 0.9931473468669217, 0.9931585174110604, 0.9931783129671372, 0.9931851835371537, 0.9932097426130839, 0.9932165959701437, 0.9932240030324411, 0.9932290980562415, 0.9932311186685165, 0.9932410862765283, 0.9932454465857514, 0.9932566162026877, 0.9932621813076754, 0.9932795740531505, 0.9932901698139378, 0.9932956610385315, 0.9933079809280864, 0.9933204463361895, 0.9933254179437255, 0.9933304492479479, 0.9933342466483714, 0.9933393308082765, 0.9933523502418454, 0.993372796772797, 0.9933760085954322, 0.9933842302335032, 0.9933943038980123, 0.993415956622773, 0.993419435263384, 0.9934251906657452, 0.9934303187776505, 0.9934384726374247, 0.9934423785355309, 0.9934549028891254, 0.9934791254956064, 0.9934995148566979, 0.9935207815599988, 0.9935239620865105, 0.9935307830483004, 0.9935352952227623, 0.9935515582904536, 0.993555300821083, 0.9935616747861516, 0.9935716420140446, 0.9935760211305754, 0.9935799310725357, 0.9935855191444036, 0.9935961413621112, 0.9935981954812257, 0.9936030753103262, 0.9936204285919998, 0.9936273962729527, 0.9936418297262545, 0.9936498768770942, 0.9936618246583717, 0.993675707817202, 0.9936957457829145, 0.9937015491779745, 0.9937290317425238, 0.9937360955620063, 0.9937450391528325, 0.9937531972624251, 0.9937608273416576, 0.9937814613565812, 0.9937864907734826, 0.9938028049277515, 0.9938142125562607, 0.9938182016006644, 0.9938308280975009, 0.9938379064770477, 0.9938375451783014, 0.9938440090156047, 0.9938467623531002, 0.9938551308124159, 0.9938590543732561, 0.9938604016255377, 0.9938649038807802, 0.9938887879680032, 0.9939037532329531, 0.993903975074477, 0.993906042876438, 0.9939111846641843, 0.9939139539549581, 0.9939185558043678, 0.9939330610852251, 0.9939339496825204, 0.9939409415916055, 0.9939641615029225, 0.9939742852623571, 0.9939733017266491, 0.993978494623656, 0.9939830651638878, 0.9939875542624484, 0.9939900961609744, 0.9939996870713332, 0.9940099626557529, 0.9940108957947412, 0.9940149462885437, 0.9940317785312554, 0.9940376421012909, 0.9940459340617864, 0.9940528436178493, 0.9940606508363734, 0.9940638456033369, 0.9940646878515593, 0.994076212100319, 0.9940909228312181, 0.9941031043420476, 0.9941045989546027, 0.9941167797481626, 0.994120067836645, 0.9941271429120723, 0.9941341947946652, 0.9941356074564806, 0.9941496678441754, 0.9941543523486673, 0.9941665467925471, 0.9941756309154735, 0.9941840907269224, 0.9941875291949147, 0.9941903081308539, 0.9942050674875681, 0.994221025865804, 0.9942306003700552, 0.9942352005327575, 0.9942405763215267, 0.9942459465967719, 0.994268848288841, 0.9942804827004518, 0.9942825993335918, 0.9942891586992767, 0.9943014572150649, 0.994308694631571, 0.9943108179259229, 0.9943255686773923, 0.9943328357471959, 0.9943363026852067, 0.9943542324890964, 0.9944024698302182, 0.9944027935983417, 0.9944055137593693, 0.9944159003924904, 0.9944267657238485, 0.9944472094976937, 0.9944507434519915, 0.9944605857420018, 0.9944659312859478, 0.9944748015928409, 0.9944797665483246, 0.9944883279251281, 0.9945131412869294, 0.9945274165761238, 0.9945498739567051, 0.994565075831645, 0.9945792277226339, 0.9945800319173074, 0.9945923645993442, 0.9946045269582909, 0.9946174914992105, 0.9946228249441388, 0.9946267581843965, 0.9946365906813229, 0.9946393715660762, 0.994643382301455, 0.9946494954774739, 0.994652855917487, 0.9946612791147226, 0.9946705534381173, 0.994679451276199, 0.9946822714552566, 0.9946857233554713, 0.9946940638803595, 0.9947133709625683, 0.994722899604967, 0.9947339610387125, 0.9947362107098234, 0.9947580153602341, 0.9947713202767433, 0.9947772425960917, 0.9947793352626076, 0.994789746865767, 0.9947956302463018, 0.99479815778474, 0.9948017545676417, 0.9948096454408573, 0.9948160914762244, 0.9948208600941417, 0.9948297714568324, 0.994840254589249, 0.9948487459179768, 0.9948541090624146, 0.9948697064232402, 0.9948732268441813, 0.9948766599769008, 0.9948828376769736, 0.9948861495397534, 0.9948877890200271, 0.9948916986256053, 0.9948953256418033, 0.9948987477753372, 0.9949041546150308, 0.9949096125813538, 0.9949227210159691, 0.9949236102508542, 0.9949298179728902, 0.9949346233167847, 0.9949730347340371, 0.9949803427807898, 0.9949878406466142, 0.9950008354433634, 0.9950006684629465, 0.9950016811066117, 0.9950090084760693, 0.9950142395171685, 0.9950165290159977, 0.9950276285751788, 0.9950342537383072, 0.9950370675055374, 0.9950444403668544, 0.9950439769766456, 0.9950552412703463, 0.9950557205796048, 0.9950708540566872, 0.9950743424347043, 0.9950754474961486, 0.9950795194021151, 0.9950911952991037, 0.9950965183474196, 0.9951168025475982, 0.9951182745601124, 0.9951231948366277, 0.995129373396631, 0.9951354883365359, 0.9951365586648171, 0.9951362119035562, 0.9951476130856167, 0.995147127338474, 0.9951568513134609, 0.9951640724199551, 0.995165142989425, 0.9951694601747246, 0.9951750694889611, 0.9951783124999596, 0.9951863680635777, 0.9951937921271402, 0.9952067575459738, 0.9952076480755793, 0.9952117529699828, 0.9952288920261465, 0.9952336360779078, 0.9952392557553477, 0.9952569979701559, 0.9952586628936552, 0.9952635129000039, 0.9952651306289416, 0.9952747209249659, 0.9952829331484928, 0.9952950493506999, 0.9952991988510307, 0.9953181106443004, 0.9953230140835738, 0.995326225314536, 0.9953284512139008, 0.995337886239744, 0.9953408052097678, 0.9953436618197828, 0.9953556414321016, 0.995357867130251, 0.9953595487484903, 0.9953690415054943, 0.9953702317357855, 0.9953757391036538, 0.9954047122539704, 0.995411550204246, 0.9954177634150791, 0.9954226878024144, 0.9954245311610936, 0.9954268720000052, 0.9954307796040748, 0.9954538042592049, 0.9954539256539385, 0.9954535310017372, 0.9954576488910762, 0.9954643477625008, 0.9954641833081163, 0.9954774804785093, 0.9954820930159626, 0.9954842828864777, 0.9954854069997764, 0.9954900787617824, 0.9954906375957218, 0.9955038230260782, 0.9955082484000793, 0.9955143010287526, 0.9955221916645991, 0.9955319810749308, 0.9955375272149926, 0.9955512662511458, 0.9955545215031917, 0.9955630320854143, 0.9955674473966377, 0.9955681563241675, 0.9955758426044651, 0.9955790928836852, 0.995587592204221, 0.9956000549090028, 0.9956117041368886, 0.9956115394370102, 0.9956151938265715, 0.9956137842352621, 0.99562001654412, 0.9956290802650836, 0.9956330067574236, 0.995636438306938, 0.9956360940902615, 0.9956385730812256, 0.9956424317549224, 0.9956462249825921, 0.9956491314076967, 0.9956494254275263, 0.9956530942359317, 0.9956603646639306, 0.9956666193758269, 0.9956750727641123, 0.9956762394505193, 0.995679450054205, 0.9956800816828463, 0.9956839465137002, 0.9956929870809433, 0.9957008335294009, 0.9957145501666049, 0.9957241582742663, 0.9957349671818759, 0.9957408532589919, 0.9957486787865626, 0.9957532529367319, 0.9957555465031943, 0.9957598339185456, 0.9957748850256993, 0.9957992916816691, 0.9958095657590378, 0.9958179483861979, 0.9958282065270052, 0.9958326279274344, 0.9958343544876661, 0.9958401766778818, 0.9958475365350988, 0.9958564986882015, 0.9958577442029034, 0.995864593886091, 0.9958717604463422, 0.9958793649483823, 0.9958792104804237, 0.9958821187414529, 0.9958863935940704, 0.9958882800659528, 0.995891226108506, 0.9958935372367724, 0.995903724184095, 0.9959095117025448, 0.9959205270086601, 0.9959249105028658, 0.9959340148698885, 0.9959412814679233, 0.9959439771868757, 0.9959631134671123, 0.995966065764623, 0.9959733024067272, 0.9959753021699533, 0.9959991837799684, 0.9959983297376296, 0.9960004257287425, 0.9959995848941647, 0.9960044442688287, 0.9960076765146212, 0.9960098657827398, 0.9960150070571772, 0.9960231371360688, 0.9960241781468606, 0.9960349083688856, 0.9960413710275327, 0.9960568299731931, 0.9960634572834096, 0.9960755925224055, 0.9960823828140744, 0.9960848010849119, 0.9960896194420599, 0.996100871621299, 0.9961215751005928, 0.9961262113579994, 0.9961307092062065, 0.9961353567725516, 0.9961373942666404, 0.9961475959867085, 0.9961542298080215, 0.9961593906808586, 0.9961597474902459, 0.9961655551747125, 0.996178589844309, 0.9961852754332413, 0.9961875135496917, 0.9961926164461402, 0.9961923273436043, 0.9961941812689353, 0.9961964868902561, 0.9961968079168102, 0.9962090318580753, 0.9962288401296374, 0.9962331172732674, 0.9962462167367635, 0.9962493017858014, 0.996257048975758, 0.9962637379039617, 0.9962830325458648, 0.9962877480747828, 0.9963085066707065, 0.9963135788727637, 0.996322592093267, 0.9963383615119901, 0.9963457380894539, 0.9963607574471387, 0.9964010279274511, 0.9964142028363431, 0.9964240814423122, 0.9964262428354353, 0.996431549767904, 0.9964418544956063, 0.9964629238872863, 0.996475143543253, 0.9964812520342547, 0.9964873349098713, 0.996493966089629, 0.9964940535861997, 0.9965042990544067, 0.9965124193651205, 0.9965224514213425, 0.9965277181981472, 0.9965424138127614, 0.9965452285049231, 0.9965530830031643, 0.996561795820074, 0.9965650644540972, 0.9965668357991406, 0.9965827085188933, 0.9965854980930524, 0.9966021592373705, 0.9966129134745817, 0.9966526213182809, 0.9966657397146371, 0.9966847477624817, 0.9967019657946738, 0.9967237377131495, 0.9967261733351744, 0.9967416936108439, 0.9967456935349678, 0.9967623060897592, 0.9967650609875824, 0.9967817934687903, 0.9967873469177084, 0.9968036325595102, 0.9968278750047173, 0.9968524132314781, 0.9968573030773786, 0.9968692823744664, 0.996884324313706, 0.9969244192540628, 0.9969332097805438, 0.9969498263330252, 0.996957386495786, 0.9969824005127449, 0.9969870770761363, 0.9969991696216008, 0.9970276926347867, 0.9970462370408976, 0.9970728725370334, 0.9970957815104501, 0.9971093401193352, 0.9971347134927907, 0.9971529790660225, 0.9971658176078065, 0.9971938573861554, 0.9972294099039408, 0.9972483170123595, 0.9972890270764213, 0.9973080527740621, 0.9973388628680724, 0.9973653961940557, 0.9974383056158588, 0.9974627553506682, 0.9975237629344776, 0.9975506525787812, 0.9976282980314426, 0.9976832999040203, 0.9977574898402798, 0.9978725022050549, 0.9980210924094318, 0.9981068272542145, 0.9982851205546621, 0.998451470075461], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"method=BLAST<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"BLAST\\\", \\\"line\\\": {\\\"color\\\": \\\"#00cc96\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"BLAST\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [0.9126832552008803, 0.9124256801151227, 0.9123140239355377, 0.9121995461196455, 0.9120459684863533, 0.911903274307389, 0.9117601770375238, 0.91162554467658, 0.9114308517713829, 0.9113296759552246, 0.9111813385036459, 0.9110076063253024, 0.9108407266922763, 0.9106565141505061, 0.9105109983352346, 0.9103888617922228, 0.9102405243406441, 0.9100958147071746, 0.9099454618010908, 0.9098305808942975, 0.9097003825332651, 0.9095621223542121, 0.9094109632663262, 0.9092783463598876, 0.9091658839985005, 0.9089945703655632, 0.9088151949146052, 0.9086757254628491, 0.9085741465557898, 0.9084407234675491, 0.9083201992881414, 0.9080892282018518, 0.9079828122039801, 0.9078538231156508, 0.9077530503903936, 0.9075865738482686, 0.907441058032997, 0.907330611126115, 0.9072209704010351, 0.9070266805867391, 0.9069226831342736, 0.9067642684101692, 0.9065957764135391, 0.906469608961517, 0.9063430384185938, 0.9061140827868093, 0.9059322887904452, 0.9058105553383343, 0.9056888218862236, 0.9055521740707747, 0.905265173349242, 0.9051281224428921, 0.9049914746274432, 0.9048137115400894, 0.9046194217257933, 0.9044569760926786, 0.9043005768230794, 0.9041945639161088, 0.9040542882825506, 0.9037164981074882, 0.9035963770189815, 0.9034528766582152, 0.9031787748455155, 0.9029748108495947, 0.902868394851723, 0.9026696710375157, 0.9023149510446101, 0.9021150179576997, 0.9019025890528574, 0.9017518330558725, 0.9015099785152549, 0.901219753066514, 0.9010714156149353, 0.9009323492540803, 0.90077554689358, 0.9003216665390212, 0.900139469451756, 0.9000088679998226, 0.8998419883667966, 0.8997061467331497, 0.899528383645796, 0.8993989914665657, 0.8991148123813402, 0.898989854202021, 0.898684311299041, 0.898502114211776, 0.8982243845809669, 0.8979007025874405, 0.8977737289536163, 0.8976233760475325, 0.8974597211417147, 0.8971247526029595, 0.8969683533333602, 0.8967039257022851, 0.8964991555245624, 0.8963137337100889, 0.895939665353934, 0.895773994993611, 0.8954938468173957, 0.8951677462784633, 0.8950125562815671, 0.8948803424660295, 0.8947541750140074, 0.8946300230164904, 0.8943494717493742, 0.8941305933901154, 0.8938504452139002, 0.8935187014023532, 0.8934026112228569, 0.8932885364978657, 0.893139795955386, 0.8929660637770424, 0.8926597146922602, 0.8925242761495145, 0.8923166843354845, 0.8920808761583825, 0.8919107717981481, 0.8917938754368497, 0.891658436894104, 0.8914016679901484, 0.8912831592652459, 0.8910747612694139, 0.8909502061809959, 0.8907954192750007, 0.8906382138235993, 0.8903943438284767, 0.8901807056509313, 0.8900750958348618, 0.8899005574747161, 0.8896792605700512, 0.8893273622134528, 0.8891753969437648, 0.8890266564012851, 0.8887819802243604, 0.8885598771378934, 0.8883216504153851, 0.8881680727820931, 0.8879713644223909, 0.8878024693348597, 0.8875533591580237, 0.8872832882543342, 0.8871538960751039, 0.886533136087519, 0.8860627290060181, 0.8852380050225126, 0.8844660859470419, 0.8840557394097943, 0.8835035048753844, 0.8828605748882431, 0.8820261767231128, 0.8813856652813776, 0.8809269478360064, 0.8803610082109616, 0.8798365869487228, 0.8789743755114215, 0.8784801860667599, 0.8777904975350992, 0.8768799151896745, 0.8764542511981877, 0.875654518850546, 0.8745839094174127, 0.8739393670666672, 0.8712842073015886, 0.8703881362286009, 0.8697899493314737, 0.8693400998859253, 0.8678518882793259, 0.866758302664834, 0.8659126179544749, 0.864985911973009, 0.8644562505290568, 0.8637593063611775, 0.8629926274674202, 0.8624464392965258, 0.8613621247727575, 0.8606156004240516, 0.8597416993506205, 0.8587319566435427, 0.8583522450147733, 0.8575396137582987, 0.8571135466759109, 0.8564424003256974, 0.8553592950746323, 0.854745790723266, 0.8537247614709593, 0.853234199844407, 0.8521905975016426, 0.8513154871555084, 0.8505290568076007, 0.8494564319199622, 0.8485611670287767, 0.8479311359504682, 0.8469346952431243, 0.8460249190795016, 0.8452102723685219, 0.8445028478372157, 0.8437051309440792, 0.8427417436906197, 0.8421326733391648, 0.8411656582675959, 0.840348996102111, 0.8394247086660512, 0.8383158055973202, 0.8377111692457766, 0.8368598412628032, 0.8360165750978503, 0.834959267664451, 0.8344610473107791, 0.8332146902447971, 0.8320517729953282, 0.831424563553327, 0.8302467319405199, 0.8288979897856765, 0.8275863319937279, 0.8261202903866851, 0.8252637222219983, 0.8240943555181129, 0.8234195813497902, 0.8223155153718715, 0.8208361717650947, 0.8202895805032993, 0.8187900823514711, 0.81815118327334, 0.8170422802046089, 0.8159277338632634, 0.8150514142444263, 0.8136639753630841, 0.8129061644691494, 0.8114155343171439, 0.8102308501590194, 0.809505689628068, 0.8083330981969744, 0.8075680316668212, 0.8068694751353378, 0.8059334980631482, 0.8049350419012992, 0.8040704119185917, 0.8032932526614077, 0.8021117932304914, 0.8005715828976593, 0.7998085318220112, 0.7984493093037411, 0.7975516258671493, 0.7965523635234982, 0.795329788820677, 0.7947029824695767, 0.7938141670328076, 0.7929672730497455, 0.7913315301733694, 0.7901851396508427, 0.7894253133024028, 0.7880922916926997, 0.7875815755210958, 0.7859006864638044, 0.7851755259328531, 0.7842415643151687, 0.782583651439236, 0.7820374632683417, 0.7801018207616, 0.7790364515101801, 0.7773978869974968, 0.7760644622968925, 0.775515452489691, 0.7741953297888207, 0.7735036258026547, 0.7726015083661516, 0.7714212582079385, 0.770764220039261, 0.7695634122450954, 0.7689886046202279, 0.7673190021081654, 0.7660992490416514, 0.7654188316007142, 0.763850001813909, 0.7628197014708787, 0.7611924235034243, 0.7598896337112983, 0.7585606430106053, 0.7571131435850098, 0.7563924170539699, 0.754952576355494, 0.7532253318445843, 0.7524582498599259, 0.7512328535207975, 0.7505568700797717, 0.7488300286597631, 0.7474288846877859, 0.746958880697186, 0.745974935807774, 0.7455097689079865, 0.7443226662044558, 0.7436309622182898, 0.7427489993268382, 0.7412700588109624, 0.7403594764655378, 0.7389817117658203, 0.7374427107056912, 0.7366804658118452, 0.7353365607478143, 0.7342159680429534, 0.7326435104380389, 0.7312629241020142, 0.7301822373963552, 0.7282921441614298, 0.7274617769053099, 0.7264762196522938, 0.7256490771233821, 0.724732045323541, 0.7231277435374451, 0.7220123910142976, 0.7207035548586562, 0.7195454746999996, 0.7183410390877246, 0.716889508753119, 0.7154549082363564, 0.7137933675423145, 0.7133072399156734, 0.7119415679429868, 0.7108298432379486, 0.7102139203411761, 0.7084008174683473, 0.7071351120391159, 0.7060898973327475, 0.7048133084491883, 0.7037310093799253, 0.7023064861356885, 0.7015813256047371, 0.7005788385338778, 0.6993788369215141, 0.6989096391127163, 0.6975931442299553, 0.6968454106085463, 0.6954793355449588, 0.6943595490218999, 0.693876646122467, 0.6927701615991422, 0.6920470165226961, 0.6904685125542661, 0.6889919905837966, 0.6883708275053108, 0.6873876887977007, 0.6865436164509459, 0.6852448575678302, 0.6835732396012625, 0.6830415627028051, 0.681792787091417, 0.6809253354724024, 0.6797027607695811, 0.6786373915181613, 0.6780420262573413, 0.6770532442771169, 0.6760713148422101, 0.6751119584977608, 0.6740187759741699, 0.6730993256289226, 0.6718489376539304, 0.6709246502178706, 0.6693715409762055, 0.6683464808148886, 0.6669231668433548, 0.6657977370476816, 0.6650242056086068, 0.6639548054481766, 0.6633304176424826, 0.6623537283892891, 0.6611230918684472, 0.6597550013503545, 0.6581640015639927, 0.65719940503783, 0.6561650737857895, 0.6545204629095908, 0.6537408851070005, 0.6525936884026717, 0.6516238516947956, 0.6500316426357308, 0.6486849159353926, 0.6476453445016386, 0.6463316712551848, 0.6453880354558756, 0.6445911247445412, 0.6431835313181475, 0.6425123849679342, 0.6410773813602706, 0.6404473502819621, 0.6396548735705389, 0.6383097592338048, 0.6377313237908281, 0.6365998476316395, 0.6353768698379172, 0.6341728373165433, 0.6328918144330729, 0.6320743460857858, 0.6309888222893144, 0.6301604704876996, 0.6293091425047262, 0.6280938234381235, 0.6271562340023299, 0.6254640583998098, 0.6248009738676169, 0.623721899525562, 0.6227133660911872, 0.6216399350217467, 0.6203673770471979, 0.6200009674181625, 0.6191830959799745, 0.6183140319973557, 0.6170076143871205, 0.6158007602294393, 0.61490791388366, 0.6137071060894942, 0.6128972964693268, 0.611722286492827, 0.6103433125204065, 0.6094327301749818, 0.607925976386935, 0.6071302749483036, 0.6058456242467238, 0.6045343695456763, 0.6038986951947534, 0.6028768597606446, 0.6019437043247623, 0.6001072221796737, 0.5990773249275444, 0.5984646267579802, 0.5971799760564005, 0.5966470898852401, 0.5954039575464664, 0.5943418130222546, 0.5938278721234426, 0.5926710012374891, 0.5915258199876654, 0.5904612569180476, 0.5888384129505044, 0.5878730102425398, 0.5866649468121556, 0.5859345460994909, 0.5844092501299968, 0.5828263121616556, 0.5820938959944857, 0.5812909389196358, 0.580600444206173, 0.57978458822249, 0.5787147849711588, 0.5779223082597357, 0.5766465255579786, 0.5757843141206773, 0.5748301979579415, 0.5732690268982559, 0.572024282195878, 0.5706904544043727, 0.5701692578693421, 0.5690402002555597, 0.567187997565331, 0.566204858857721, 0.5651624657876598, 0.564625548707489, 0.5639080469036573, 0.5632421407351572, 0.5620703554858656, 0.5607699842391458, 0.5598743162570591, 0.5587194608256107, 0.5579096512054433, 0.5569938286783053, 0.5557906023387335, 0.5549828081730711, 0.5540488465553867, 0.5528883478513239, 0.5516653700576017, 0.5501763522692003, 0.5493709766489441, 0.5482628797620152, 0.5475606954124225, 0.5463635154363661, 0.5453594160019026, 0.5445225992913661, 0.5433032493157532, 0.5427127211457455, 0.54137486244523, 0.539712112478485, 0.5388067703147736, 0.537302031981232, 0.5365571199961303, 0.535804549283909, 0.5349262142105666, 0.5343562436765115, 0.5333896316958437, 0.5328285291616113, 0.5318212049999396, 0.5308465312012512, 0.5301822373963553, 0.528196611617886, 0.5275589218124579, 0.5264592898344506, 0.5254483378546696, 0.5246961702333494, 0.5238146104327988, 0.5231458826279914, 0.5218463175630736, 0.5208107770383299, 0.519854645421089, 0.518525654720396, 0.517708186373109, 0.5167782556644349, 0.5159091916818161, 0.5148833253386972, 0.513538614092864, 0.5129061644691494, 0.5118508724902553, 0.510960041598981, 0.509796721258611, 0.509047778364499, 0.508563666192363, 0.5073402853077398, 0.5066804255027552, 0.5054759898904801, 0.5044811615467404, 0.5040857293728309, 0.5027785055807935, 0.5022887501360431, 0.5015345670602177, 0.500636883623626, 0.4999209941833983, 0.4987854871151993, 0.49813852621904764, 0.49689297533486776, 0.4949202484652314, 0.4943200461135991, 0.49313495886457354, 0.4926923650552436, 0.4916572276214009, 0.49022907655905484, 0.48957808475389286, 0.48857801622843966, 0.4881519491460519, 0.48734093025318137, 0.48635093900025395, 0.4855439510163937, 0.48454106085463333, 0.4837820406879956, 0.482278108536256, 0.4812135454666382, 0.4804698427542395, 0.47971565967841406, 0.4788167669691192, 0.47769778662786244, 0.4767932506459532, 0.4759846502984888, 0.47499183740925416, 0.47408689833644385, 0.4729642901770778, 0.4720948231035581, 0.4707343913125849, 0.469918132238001, 0.46910550098152637, 0.46800909373072724, 0.46689535357118384, 0.4662100990394344, 0.46481056743106136, 0.4640612214460483, 0.463447314003781, 0.4628176860163736, 0.46202480621404934, 0.4612278955027148, 0.4604031715192093, 0.4595083097189247, 0.458749692643188, 0.4578262113889303, 0.45694545777018175, 0.4561227492411814, 0.45465509527053444, 0.4542217725519282, 0.45358247038289606, 0.4525102485861587, 0.4519237513251613, 0.45107161716038585, 0.4505218011713822, 0.4497615717320413, 0.44899045883837263, 0.44857406593760957, 0.44776022540843186, 0.4470306308775692, 0.44628974980147773, 0.4454190734552549, 0.44490876037455207, 0.4440384871192303, 0.44316377986399713, 0.44222457806459936, 0.44084117009226753, 0.44031674883002864, 0.43945776211993565, 0.4388583659501054, 0.4381799639636734, 0.43695900162445633, 0.436289467637847, 0.43531076293014836, 0.43474522639600455, 0.43395476513908654, 0.43301153243067847, 0.43252903262214665, 0.4311053155597119, 0.4299210344924884, 0.42933977741320445, 0.42837840561425006, 0.4278717203516565, 0.4268627838263807, 0.4262480702023113, 0.425162949496741, 0.4243620078763962, 0.4236291886183253, 0.4228854859059267, 0.42230382573574166, 0.42126586666559174, 0.4208035214021114, 0.42028595268519003, 0.41934513852218813, 0.41881184926012666, 0.4178440280067558, 0.41696408056980927, 0.4161067062233204, 0.4154762720541109, 0.4146168822531169, 0.4136325342728039, 0.4127215488364781, 0.41162715704018416, 0.4108294401470476, 0.41016192161494336, 0.4089417654575283, 0.40845160692187693, 0.4076458282107198, 0.4066743791392397, 0.40607538606031046, 0.4052974206213243, 0.4046101506350697, 0.40374793919776847, 0.40242821958779923, 0.4016526726942193, 0.40045105871825154, 0.39960013382617915, 0.39869438857156675, 0.39767658404646833, 0.3971102413305225, 0.39613798607724027, 0.3954027482737632, 0.39454537392727435, 0.3937033170350246, 0.393251452134971, 0.39178420125522506, 0.3913843350814042, 0.39035564710197795, 0.38956720129956507, 0.3890310904011964, 0.3883143947791666, 0.38782222078901013, 0.3871051220760794, 0.38621670973021127, 0.38555967156153387, 0.3847897679405683, 0.3840601734097056, 0.3832044114268209, 0.38256027216697636, 0.38168274327543605, 0.3805722278431009, 0.37940326423011655, 0.3784217378861107, 0.3779565709863231, 0.3771411180935413, 0.37614548356799943, 0.3756150159422451, 0.37487977813876805, 0.3741594546986291, 0.3734093025318139, 0.3724596203689894, 0.37191423837989707, 0.3709730211259941, 0.36960049660799005, 0.3687531995340269, 0.3680038535490138, 0.3676209171930362, 0.3667046915749971, 0.3662782214017083, 0.3656856777771955, 0.3648085519765562, 0.3640406638100958, 0.36325020255317775, 0.3627838263806871, 0.3614649129525199, 0.3609380731448749, 0.36014882116065994, 0.3594482491746714, 0.359082242636537, 0.3579620530225771, 0.3568285614088833, 0.35594780779013474, 0.3547651390865154, 0.35424636109689095, 0.3534377607494266, 0.3526980889460382, 0.3519205265979531, 0.3512695347927911, 0.3507011766223401, 0.3499542491827332, 0.3491682219257265, 0.34840960484998973, 0.347402280688318, 0.3468794717896833, 0.34579515726591503, 0.3450131609179186, 0.34465078219789347, 0.34374302148877595, 0.34321618168113094, 0.3424499058782746, 0.34178158116436835, 0.3409185635452651, 0.33942108084794204, 0.33873864795249975, 0.33734959670755355, 0.33686064744460525, 0.33544337983658695, 0.33470733585130785, 0.3341147922267951, 0.33338721315043757, 0.3327071988004015, 0.3319606744516956, 0.33117545337649096, 0.33055912738881743, 0.3298130061310126, 0.32916080505314754, 0.32810954398326364, 0.3273823679978072, 0.3268563343719642, 0.3261142440231697, 0.3257075253040313, 0.3247570369594047, 0.32391256152174874, 0.3236332195273356, 0.3228129295437414, 0.32205511864980674, 0.3210223997613702, 0.32010698032513313, 0.31967244833382374, 0.31900694525622475, 0.31802420963951583, 0.31685685839013555, 0.3159398265902944, 0.31535010460208884, 0.3145943091626593, 0.3142194346247022, 0.31337616845974936, 0.31269454174610917, 0.3120757972130295, 0.31121197341212414, 0.3108866790549937, 0.3101248372520487, 0.3091130790904657, 0.3081734742001669, 0.3071721964020106, 0.3065437776873063, 0.30553887207104075, 0.3046387700890428, 0.30411757355401214, 0.30348189920308927, 0.3029711830314854, 0.3020380275956031, 0.3016651685121512, 0.3008884123458681, 0.3002027547232176, 0.29942962637504383, 0.29893342147587704, 0.2984646267579802, 0.2977297920454042, 0.2971291866028708, 0.29663136934009987, 0.2954233059097157, 0.29508591882555435, 0.29415719738958335, 0.29327765304353787, 0.2926048943297203, 0.2917019707114151, 0.2912650201746996, 0.29042780037326216, 0.2899525562009489, 0.28955591475433623, 0.28878399567886553, 0.28805923823881524, 0.28727643570901673, 0.28658513481375186, 0.2858132157382811, 0.28497196502783345, 0.2845999121261836, 0.2836272537820004, 0.28260179052978235, 0.28217612653829566, 0.28104263492460185, 0.28059923493346983, 0.279271050414579, 0.2785934546099491, 0.27811619498313067, 0.2771217697302919, 0.2766594244668115, 0.27624706247505876, 0.27514662431524933, 0.2748959017748092, 0.2743045674229996, 0.2739663741570362, 0.27354232252915356, 0.2726454452743638, 0.27233143746246213, 0.2716324778400777, 0.2712221313028301, 0.27045222768186455, 0.26983025842157665, 0.269516250609675, 0.26859438171902145, 0.26800304736721176, 0.2671069762942241, 0.26657126848675644, 0.2657465445032509, 0.2650036479726543, 0.26457072834494905, 0.26377825163352586, 0.26303213037572104, 0.26203609275927814, 0.2614310533168335, 0.2610259469612992, 0.2603257780662117, 0.2596792202609611, 0.2589609122753272, 0.25819665192697605, 0.25775486429944816, 0.25722197812828773, 0.2569087764981881, 0.25635492960017414, 0.2558417948831641, 0.25545160289096797, 0.25458818218096363, 0.2541484100079409, 0.25353450256567356, 0.2527807225807492, 0.25252798458580394, 0.2517145471475272, 0.2511667466130287, 0.25075599698488005, 0.249992945909232, 0.24975230064131762, 0.24898562174756028, 0.24824393448966675, 0.2476348641382118, 0.24714954269337278, 0.2469391292430356, 0.24637681743610002, 0.2458141025382634, 0.24535135418388201, 0.2448692574662512, 0.2445504125635372, 0.2438752353043135, 0.24352696476582433, 0.24295175405005584, 0.24231003333561751, 0.24185454061745465, 0.24100966208889768, 0.24047234191782588, 0.23994147120117057, 0.2394359952112801, 0.23860804650056636, 0.23781113578923183, 0.23733105452610617, 0.23679333126413338, 0.2366788534482411, 0.23619272582160003, 0.23535389365655848, 0.23487260312072974, 0.23444976076555024, 0.2340873820455251, 0.23331223824284614, 0.23245567007815932, 0.23206265644965596, 0.2311859337399177, 0.2309364204721807, 0.23038861993768214, 0.22953527650020356, 0.22898102651128857, 0.22817887561824066, 0.22786970489715136, 0.22740655345186894, 0.22676160801022238, 0.22638955510857253, 0.22600299093448564, 0.22551162312613118, 0.22492754441054003, 0.22456798732682207, 0.22402341151953176, 0.22369569861699512, 0.22325915117118061, 0.22270167645505737, 0.22244611682380494, 0.2220853504673839, 0.22152062011504214, 0.22104739139723398, 0.22041856959162862, 0.21956885397225928, 0.21896139598440845, 0.21847123744875707, 0.21804678272997344, 0.21747237819600698, 0.21684395948130264, 0.21635259167294818, 0.21547949678131917, 0.2153166480573034, 0.2146999189787289, 0.21390220208559232, 0.21347129791239222, 0.2129887981038604, 0.21260868338418998, 0.21138610868136873, 0.21090078723652972, 0.2100857374346489, 0.20956373471781622, 0.20898610545664154, 0.20837864746879067, 0.20800175747632849, 0.20712584094839226, 0.2066687358666253, 0.20635472805472363, 0.20557998734294572, 0.2053913408012641, 0.20499066844564118, 0.20477259626818445, 0.20449688209188055, 0.20370561465316042, 0.2031783717546144, 0.20260719194785617, 0.20164138614899046, 0.20128384451977765, 0.20056634271594587, 0.200359960174619, 0.19944212219297575, 0.19869962875328015, 0.19837715603245687, 0.19809942640164785, 0.19794463949565266, 0.1975556567761596, 0.1968353333360206, 0.1965523635234982, 0.19608276262379928, 0.195690555177098, 0.19506213646239365, 0.1947912593769021, 0.1945574666543052, 0.1937911908514489, 0.1933586743146447, 0.19267301669199421, 0.19237432633433166, 0.19183861852686399, 0.19096189581712572, 0.19065756218684876, 0.18988161220236777, 0.18931930039543218, 0.18881019658743242, 0.18810519060153255, 0.1878439876976657, 0.18737116207075857, 0.1870930293490485, 0.18675523917398612, 0.18632352881898398, 0.18588012882785196, 0.1855354861074721, 0.1843786152215186, 0.1840142210469883, 0.18333057887884296, 0.1829222477961005, 0.18213138344828142, 0.181737563637976, 0.18127924928350592, 0.1803408536659102, 0.18012560312476067, 0.1794181785934546, 0.17876557442468852, 0.1783358795241915, 0.17775341317220447, 0.17740111172470505, 0.17659210828633964, 0.17609590338717285, 0.17569079703163862, 0.17511276467956288, 0.17490436668373086, 0.17459438978083947, 0.17436543414905495, 0.17397080815694746, 0.17355844616519472, 0.1732686238073548, 0.17280103836216104, 0.1726313370928278, 0.17246123273259353, 0.17192713728873, 0.1717042280204609, 0.17104960839718966, 0.17085290003748746, 0.17051349749882097, 0.169696432242435, 0.16927197752365136, 0.16884631353216464, 0.16856011899243398, 0.1682098329994397, 0.16782689664346206, 0.16758987919365695, 0.16677160466456792, 0.16643744230761479, 0.16588359540960082, 0.16519592233244518, 0.1648774805206322, 0.1644409330748177, 0.16413821180814486, 0.16381090199650924, 0.16356864436499075, 0.16320425019046045, 0.16283663128872192, 0.16254035947646553, 0.16228238129980693, 0.16185631421741917, 0.16149877258820636, 0.1611432464134987, 0.16092920514505227, 0.16054626878907463, 0.1601859055235546, 0.15982352680352946, 0.15954055699100705, 0.15912658263565016, 0.15869930628055934, 0.1585300081021271, 0.15815755210957624, 0.15782419593442518, 0.15771173357303805, 0.15713410431186337, 0.1566939290479396, 0.15635533269107516, 0.15602761978853852, 0.15564387725075882, 0.15490460853827145, 0.15467041272477355, 0.15419476546155925, 0.15387188964983495, 0.15344582256744718, 0.15313745802815992, 0.15275210312677612, 0.1522627507729268, 0.15176049951024456, 0.15161941769488438, 0.151420290789776, 0.15110628297787435, 0.15058952044275506, 0.15024568390417722, 0.150006650999867, 0.14951568628241355, 0.14928471519612388, 0.14878649484245193, 0.14834470721492404, 0.14783479722512224, 0.14754699032178747, 0.14720678160131892, 0.14668356961178317, 0.14616358234945562, 0.14582458290169015, 0.1453412769113563, 0.14512844491561291, 0.1446975407424128, 0.14445971711080566, 0.144021154210486, 0.14345884240355042, 0.14332703167891392, 0.14303761241197502, 0.14281671859821107, 0.1426232349657171, 0.14235638878923587, 0.1420617293405836, 0.14164130553081025, 0.14148087535220066, 0.14117210772201239, 0.14095806645356596, 0.1405831919156089, 0.14008698701644207, 0.13991728574710882, 0.1392449301241923, 0.13845527504907632, 0.13826743468919675, 0.13799252669469492, 0.13768778997351694, 0.13709040925819183, 0.13640273618103618, 0.13621126800304736, 0.13576464328470714, 0.13559977910618623, 0.13532930511159572, 0.13491936166524912, 0.1346916153061677, 0.13445822567447185, 0.13433084894974665, 0.13411156749958683, 0.1338797902314951, 0.13369194987161556, 0.1333295711515904, 0.13310222788341, 0.13290592261460882, 0.1327809644352898, 0.13257740353027012, 0.13229564299045077, 0.13216907244752765, 0.13177605881902427, 0.13146164791622159, 0.13131210119193978, 0.13099446556192887, 0.130733262658062, 0.130247941213223, 0.13006211630784859, 0.1299170035834781, 0.12974448067783767, 0.1295868721355353, 0.12940991522998352, 0.1292450510514626, 0.12897901105678342, 0.12879600778771622, 0.12852271215681849, 0.1283026245248566, 0.1279813610767364, 0.12771290253665105, 0.12760366490247216, 0.1274714510869346, 0.12714091654809076, 0.1269849203693925, 0.1268571405537663, 0.12667816819370936, 0.12642865492597236, 0.12619445911247446, 0.12583288657425135, 0.1255426611255104, 0.12538384331050495, 0.12527017167641474, 0.12496019477352338, 0.12457363059943648, 0.12441199114812382, 0.12387870188606233, 0.12373882934340523, 0.12348609134845999, 0.12321118335395816, 0.1230136688124539, 0.1228238129980692, 0.12256865645771778, 0.12232599573529827, 0.12212928737559607, 0.12181124865468412, 0.12158430847740474, 0.12109858394166469, 0.12047218068146548, 0.12010053087071665, 0.11989011742037947, 0.11966801433391244, 0.11917382488925078, 0.11895373725728889, 0.11883684089599046, 0.11855870817428038, 0.1179202121870503, 0.11774809237231088, 0.11756186437603544, 0.1172148031102494, 0.11694997238827327, 0.11633042167339157, 0.11615548022234494, 0.1159527254991273, 0.11578141186618994, 0.11560445496063818, 0.1152388515134048, 0.1150131206088285, 0.11468984170620317, 0.11449192407379788, 0.11433955571320889, 0.11412309589935626, 0.11331086773378264, 0.11314882519156895, 0.11261553592950746, 0.11233256611698504, 0.11219632139243721, 0.11191738248892508, 0.1115215472241145, 0.11118496632175522, 0.11105234941531665, 0.11088385741868649, 0.11070770669493678, 0.11053881160740558, 0.110211904886671, 0.10982775925799027, 0.10954116162735858, 0.10925778872393513, 0.10903165472845781, 0.10875271582494568, 0.10852093855685396, 0.1083649423781557, 0.10821741110837906, 0.10802957074849949, 0.10778973166238719, 0.10756561312141501, 0.10740074894289411, 0.1071262440392933, 0.1069682324060899, 0.10681143004558959, 0.10653450659658259, 0.10628862114695485, 0.10614834551339673, 0.10583595006509917, 0.10566826425027108, 0.10549775679913577, 0.1053014515303346, 0.10460813518056457, 0.10443279063861692, 0.10420786591584268, 0.1040224441013693, 0.10380275956030845, 0.1036318490182721, 0.10312476066477752, 0.10302398793952024, 0.10291757194164856, 0.10274424285420605, 0.10255962722153472, 0.10234840758939548, 0.1020037648690156, 0.10188969014402438, 0.10163292124006885, 0.10141928306252343, 0.10129795270131367, 0.1011056783415228, 0.10094403889021013, 0.10063204653281362, 0.10046315144528242, 0.10023097108628967, 0.10006207599875848, 0.09978958654966281, 0.09967188400656232, 0.09955176291805565, 0.09928572292337645, 0.0991700358347811, 0.0985049358480831, 0.09831024294288605, 0.09805428022073258, 0.09771568386386814, 0.09744561296017865, 0.0973077558720267, 0.09703808805923823, 0.09681840351817739, 0.09653341825114982, 0.09632985734613013, 0.09615652825868762, 0.09602149280684287, 0.09588806971860224, 0.09561638645130864, 0.0953926710012375, 0.09524110882245056, 0.09507342300762245, 0.09492266701063756, 0.09469088974254584, 0.09445346920183971, 0.09435108411297832, 0.09421080847942019, 0.0940044259380933, 0.09389196357670618, 0.09364769049068256, 0.09332803940616649, 0.09302169032138438, 0.09268752796443126, 0.09257788723935134, 0.09236465215270696, 0.09212803779380288, 0.09202484652313943, 0.09183095979974444, 0.09155484253253951, 0.09139844326294022, 0.09129404271957368, 0.09105984690607578, 0.09094174127207427, 0.09082041091086451, 0.09071641345839901, 0.09059790473349645, 0.0904447301911054, 0.09032219055719255, 0.09009484728901214, 0.08986347311182144, 0.08971392638753965, 0.08958534039011137, 0.08923021730630475, 0.08902544712858197, 0.08889645804025266, 0.08844419004929802, 0.08817532841831162, 0.08807092787494508, 0.0878286702434266, 0.08764365151985425, 0.0874489586146572, 0.08725668425486631, 0.08689148389853396, 0.08677055662822523, 0.08641462736261654, 0.08618043154911864, 0.0860260477340245, 0.0859123760999343, 0.08573985319429385, 0.08557660137937706, 0.0854746193814167, 0.08520777320493544, 0.08490948593817392, 0.08479782975858886, 0.08462611303475047, 0.08438345231233095, 0.08412063704485999, 0.08398479541121319, 0.08355348814711205, 0.08343739796761568, 0.0831576528823015, 0.08297223106782811, 0.08270296634594067, 0.08255986907607535, 0.0824345078058553, 0.08212735253927113, 0.0818996061801897, 0.08170451018409161, 0.08142315273517331, 0.08128005546530798, 0.08113171801372927, 0.08097531874412998, 0.08083222147426466, 0.08062704820564086, 0.08052305075317535, 0.08040131730106456, 0.07993131331046464, 0.07973903895067376, 0.07962133640757327, 0.07936295514001362, 0.079257345323944, 0.07908200078199634, 0.07892318296699088, 0.07878411660613585, 0.0786365853363592, 0.07847051188513522, 0.07815489170962944, 0.07797793480407766, 0.07780903971654649, 0.07764216008352043, 0.07743980845120384, 0.0773257337262126, 0.07716490045670199, 0.0770056795507955, 0.07663201428554153, 0.0764002370174498, 0.07619748229423218, 0.07595441848091163, 0.07563718594180173, 0.07548441449031171, 0.07534413885675359, 0.07512203577028656, 0.07499183740925416, 0.07473426232349657, 0.07452626741856556, 0.07442025451159491, 0.07419089578890936, 0.07408125506382944, 0.0738768879770077, 0.07369307852613843, 0.07354756271086693, 0.07335085435116473, 0.07322871780815292, 0.07291995017796463, 0.07281071254378575, 0.07270913363672642, 0.07254991273081993, 0.07238585473410108, 0.07228387273614073, 0.07217705364736801, 0.07205370783165312, 0.07194890419738555, 0.0718275738361758, 0.07160829238601597, 0.07149865166093605, 0.07138296457234071, 0.07123704566616818, 0.07097705203500441, 0.07086982985533068, 0.07074487167601166, 0.07063926185994203, 0.07049011822656127, 0.07037805895607518, 0.07024786059504279, 0.07009549223445379, 0.0698725829661847, 0.06959969042618801, 0.06943482624766711, 0.0692171571611114, 0.0690119838924876, 0.06883784862324303, 0.0686322722637182, 0.06847829153952507, 0.06833882208776901, 0.06807923154750628, 0.06788494173321026, 0.0677067755549554, 0.06759874719347961, 0.06746653337794206, 0.06727022810914089, 0.06712471229386939, 0.06693324411588057, 0.0667397604833866, 0.06651685121511752, 0.06636206430912235, 0.06616616213122221, 0.06605007195172584, 0.06594526831745827, 0.06579209377506721, 0.0654260872369328, 0.0652987105122076, 0.06503267051752841, 0.06483394670332107, 0.06468802779714854, 0.06446149071077019, 0.06431275016829045, 0.06414022726265001, 0.06394553435745295, 0.06367546345376346, 0.06350334363902403, 0.06333001455158152, 0.06312645364656183, 0.06299665837643047, 0.06282897256160237, 0.06259034274819314, 0.06240693638822491, 0.062301326572155286, 0.062148555120665264, 0.06197200130601452, 0.06184301221768521, 0.06170031803872091, 0.06152779513308046, 0.061385100954116166, 0.06098644405299839, 0.060692590786148186, 0.060575694424849745, 0.060324165702607596, 0.06020122297779372, 0.059987181709347276, 0.059868672984444725, 0.05971832007836087, 0.05961351644409331, 0.05950065099180516, 0.059221308997392, 0.059085467363745196, 0.05891616918531298, 0.05877952136986412, 0.05847518773958715, 0.05827404537997364, 0.05811482447406715, 0.05793061193229685, 0.057729066481782304, 0.057599674302551966, 0.05744085648754651, 0.057242535764240196, 0.05712805794834793, 0.05686403340817388, 0.05669916922965298, 0.056566552323214406, 0.056293659783217716, 0.056085261787385675, 0.05597441178960268, 0.055852678337491884, 0.055730541794480074, 0.05554189525279846, 0.05529681598497277, 0.0551517032606023, 0.054990063809289634, 0.05482116872175844, 0.054649451997920054, 0.05452489690950206, 0.054353986367465724, 0.054190331461647916, 0.054027482737632165, 0.05390373383101623, 0.05380013946945176, 0.05360302801884853, 0.053457915294478055, 0.05330111293397774, 0.053162852754924765, 0.052898828214750705, 0.05277145149002552, 0.0526464933107065, 0.05249654349552368, 0.05237440695251186, 0.05208942168548429, 0.0518886824167718, 0.05158031787748455, 0.05128888315604052, 0.051100236614358904, 0.05085556043743424, 0.05067175098656498, 0.050543971170938756, 0.050304132084826446, 0.05012596590657159, 0.04990547518370868, 0.049778501549884516, 0.04965958973408093, 0.04949029155564871, 0.04926052974206213, 0.049047294655417746, 0.04885502029562687, 0.04860026684617648, 0.04849909103001818, 0.04826731376192645, 0.048147192673419784, 0.04803231176662649, 0.047898485587484836, 0.04779811595312859, 0.04769411850066309, 0.04746919377788885, 0.047295864690446346, 0.047098350148942085, 0.04697782596953439, 0.04682223288173716, 0.04666502743033581, 0.04654651870543326, 0.04642156052611424, 0.0461909925307256, 0.04604144580644381, 0.045933820535869044, 0.04582458290169016, 0.04572219781282877, 0.04552548945312657, 0.045329587275226436, 0.04515907982409113, 0.04501154855431448, 0.04454033529101148, 0.04439885038475026, 0.044221490388297466, 0.044082424027442425, 0.04396270602983679, 0.04383492621421057, 0.04370956494399052, 0.04358702531007767, 0.04345924549445145, 0.04331372967917995, 0.04307227822946352, 0.04296465295888876, 0.042758673508462894, 0.04255470951254217, 0.04242692969691595, 0.04227415824542593, 0.042160889702236755, 0.041951685524602655, 0.04183357989060113, 0.041699753711459474, 0.041591322259082644, 0.04146475171615951, 0.04129948444673758, 0.04107979990567673, 0.04092098209067127, 0.04080247336576871, 0.04066743791392397, 0.04053844882559466, 0.04026837792190517, 0.04015228774240879, 0.04000233792722597, 0.039809660476534066, 0.03967784975189755, 0.039539186481943545, 0.03933885030413208, 0.03921913230652645, 0.03903250121934997, 0.038843048495866304, 0.03873784177069771, 0.03858869813731695, 0.038481072866742176, 0.03836054868733448, 0.03820132778142799, 0.038030417239391656, 0.0377954152440917, 0.037694239427933394, 0.037500755795439426, 0.037223026164630385, 0.03707106089494242, 0.03695335835184192, 0.03676068090115002, 0.036583320904697215, 0.03646884308880496, 0.03635315600020961, 0.03622013600287001, 0.03607462018759851, 0.0358791211005994, 0.0355493927435576, 0.0354066985645933, 0.03528778674878972, 0.03517330893289746, 0.03505439711709388, 0.03488792057496886, 0.03476860566826425, 0.034644050579846264, 0.03447031840150272, 0.034337701495064155, 0.034212743315745135, 0.0341083427723786, 0.033975322775039, 0.03379554423318003, 0.03360649460059738, 0.033473071512356754, 0.03329006824328955, 0.033156242064147884, 0.03292809261416542, 0.03279587879862788, 0.03249597916826223, 0.0323540911711, 0.03223195462808818, 0.03208885735822285, 0.03198768154206455, 0.03184780899940746, 0.031703099365938014, 0.03147817464316378, 0.03128428791976879, 0.03108717646916556, 0.030924327745149808, 0.03082153956538739, 0.03050793484438676, 0.03040434048282228, 0.030264871031066214, 0.030162485942204827, 0.03001011758161583, 0.029832354494262, 0.029529230136688126, 0.029427248138727765, 0.02924706650596776, 0.029144681417106372, 0.029041490146442923, 0.028895571240270392, 0.028739575061572136, 0.028607361246034593, 0.028469101066981615, 0.028323988342611142, 0.028205882708609617, 0.028051498893515478, 0.027877766715171937, 0.027720158172869564, 0.027593587629946428, 0.027487574722975777, 0.02724289854605112, 0.027072794185816845, 0.026906720734592857, 0.026779747100768695, 0.026622944740268377, 0.02652136583320905, 0.026381090199650924, 0.026253310384024703, 0.026135607840924207, 0.025989285843850646, 0.02588166057327588, 0.025773229120899053, 0.025661976032215025, 0.025506382944417795, 0.025347565129412334, 0.025138764042679264, 0.024996472954615996, 0.024880382775119617, 0.02476066477751398, 0.024632884961887754, 0.024499864964548156, 0.024302350423043902, 0.02415199751696005, 0.023996807520063848, 0.023808967160184293, 0.02367312552653749, 0.023505842802610418, 0.02330953753380925, 0.023001172994521996, 0.02284316136131859, 0.02270530427316664, 0.022594051184482614, 0.0224400704602895, 0.022313499917366364, 0.022193781919760725, 0.02209059064909728, 0.02191564919805065, 0.021786660109721342, 0.021669763748422905, 0.02149079138836599, 0.02136583320904697, 0.021263045029284555, 0.021094553032654395, 0.020965160853424057, 0.020836977946896804, 0.020637851041788433, 0.020522163953193083, 0.02039599650117098, 0.020253302322206682, 0.020150917233345292, 0.02004006723556229, 0.019935263601294727, 0.019821591967204524, 0.01971195124212461, 0.01959223324451897, 0.019463647247090692, 0.01935239415840666, 0.01924315652422778, 0.019102880890669655, 0.018973488711439317, 0.018809833805621505, 0.018681247808193226, 0.01855508035617112, 0.01843495926766445, 0.01832491545168351, 0.01811651745585147, 0.01800002418545406, 0.017843624915854773, 0.017719069827436786, 0.017612250738664077, 0.017475602923215216, 0.017360318925520896, 0.017256724563956417, 0.017139022020855925, 0.017037040022895564, 0.016920143661597126, 0.0168088905729131, 0.01666579330304777, 0.01655937730517609, 0.01639572239935828, 0.016163542040365523, 0.01602246022500534, 0.015918059681638806, 0.01581446532007433, 0.015708452413103677, 0.015593974597211418, 0.015452086600049177, 0.015312617148293111, 0.01521144133213481, 0.015107846970570334, 0.014998609336391449, 0.01484301624859422, 0.014667671706646566, 0.014545938254535781, 0.014381477166915912, 0.014269820987330853, 0.014139622626298457, 0.013990478992917693, 0.01383609517782355, 0.0137300822708529, 0.013589403546393748, 0.013449531003736652, 0.013307643006574412, 0.013195986826989354, 0.013059742102441521, 0.012955341559074986, 0.012837235925073463, 0.012555475385254129, 0.012430114115034082, 0.012256381936690543, 0.012094742485377877, 0.011914560852617873, 0.011810966491053397, 0.011701728856874514, 0.011544926496374197, 0.011351442863880234, 0.011231724866274594, 0.011098301778033965, 0.010981808507636557, 0.010874989418863848, 0.010739953967019102, 0.010632731787345364, 0.01052389724406751, 0.010385637065014532, 0.010279624158043881, 0.010162727796745444, 0.01004905616265524, 0.009932562892257833, 0.009810023258344989, 0.009680227988213622, 0.00957018417223268, 0.009467395992470262, 0.009359367630994465, 0.009217076542931196, 0.009101792545236876, 0.00898449309303741, 0.008854697822906044, 0.008732561279894229, 0.008627757645626665, 0.008526178738567335, 0.008420165831596684, 0.008290773652366345, 0.008185163836296723, 0.008034407839311843, 0.007925976386935018, 0.007819963479964366, 0.007712338209389599, 0.007524497849510043, 0.007386237670457064, 0.007256442400325697, 0.007141561493532406, 0.00702909913214529, 0.006907768770935534, 0.006764671501070206, 0.006620364958501792, 0.006487748052063221, 0.006376091872478162, 0.006258389329377668, 0.0061374620590689405, 0.006012906970650951, 0.005905281700076185, 0.005797253338600388, 0.005622311887553762, 0.005496144435531656, 0.005391340801264093, 0.0052704135309553654, 0.0051381997154178235, 0.0050354115356554055, 0.0049072286291281545, 0.004785898267918399, 0.004649653543370566, 0.004546865363608148, 0.004416263911674722, 0.004211896824852973, 0.004051466646243394, 0.0039361826485490746, 0.0038313790142815106, 0.003673770471979136, 0.003531882474816896, 0.0034032964773886157, 0.0032956712068138486, 0.003032452848441852, 0.0028518681247808194, 0.002744242854206052, 0.0026426639471467213, 0.0025031944953906554, 0.0024020186792323536, 0.0022234494100764664, 0.002115017957699641, 0.0018913025076284953, 0.0017647319647053608, 0.0016635561485470588, 0.001545047423644506, 0.0013362463369114368, 0.001216528339305797, 0.0010968103417001568, 0.0009936190710367096, 0.0008739010734310694, 0.0007715159845696803, 0.0006650999866980003, 0.00048491835393799657, 0.0003107830846934292, 0.0001709105420363346, 2.216999955660001e-05], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.8723586075316335, 0.8723917253605943, 0.8725836007351413, 0.8736405175568771, 0.8763742786550051, 0.8781371022617219, 0.8799975723367776, 0.8821320123645796, 0.8841548892355133, 0.8855068688985283, 0.8872044350684394, 0.8879340556068921, 0.8895450435218039, 0.890963471500956, 0.8918224253864373, 0.8922724399494311, 0.8929670332277636, 0.8934903772790447, 0.893698558550712, 0.8937976843431613, 0.8940985373120137, 0.8941744910486217, 0.8945281818163796, 0.8946591691494459, 0.8947660522343505, 0.895023170749132, 0.8952818354696027, 0.895458772319735, 0.8954781890826428, 0.8955736858690715, 0.8956609459699018, 0.8957044799239166, 0.8957170385581051, 0.8957867737045933, 0.8959047023060989, 0.8959981153369233, 0.8961129945931658, 0.8962108383822176, 0.8962063775225778, 0.8962703382414504, 0.8963839399011234, 0.8965002452940799, 0.8965962898914012, 0.8966395112016293, 0.896656246473265, 0.8967812792222921, 0.8968847371916024, 0.896934954751357, 0.8970922737056531, 0.8972732573929992, 0.8973379639803639, 0.8973810339267067, 0.8973861394845025, 0.8974893205964153, 0.8975259124705002, 0.8975908940170181, 0.8976145006479791, 0.897686344252638, 0.8977665964162268, 0.8977718352576447, 0.8978344256195352, 0.8978824390949359, 0.8979989098808083, 0.8980566994438779, 0.8980628321582291, 0.898081214996561, 0.8981673852840324, 0.8981828003552608, 0.8981681114507586, 0.8982299943346006, 0.8983234456525668, 0.8983438418625732, 0.8983515522993031, 0.8984143713499128, 0.8985498446908393, 0.8985769097542813, 0.8985870277282831, 0.8986132234977259, 0.8986534820706482, 0.8986730185265264, 0.8987187206134354, 0.8987295170779296, 0.8987308059583624, 0.8987402474049161, 0.8987223493132048, 0.8987078784418743, 0.8987214141155043, 0.8987850575514982, 0.8987830724555335, 0.89888828295199, 0.8989021938761709, 0.8989161859633279, 0.898974061677497, 0.8989774327192434, 0.8990021112217317, 0.8991083728684305, 0.8991399676375404, 0.899230888445846, 0.899221467643185, 0.8992077528947023, 0.899226997537262, 0.8992223508020533, 0.8992113939736678, 0.8992527380628724, 0.8993030462089078, 0.8993115046271333, 0.8993199612935985, 0.8994042025549015, 0.899492823350986, 0.8995229002985831, 0.8995261075252403, 0.8995885188098436, 0.8995765216278631, 0.8996995178877265, 0.8997117993984001, 0.899710260172299, 0.8997589044527244, 0.8998996942831436, 0.8999244520946135, 0.8999486828670366, 0.9000579652566673, 0.9000523190361898, 0.900128077995223, 0.9001252893956946, 0.9001526924054676, 0.9001849340301437, 0.9001960273582287, 0.9002308749479685, 0.9002250060961239, 0.9002753677041937, 0.9003324211407766, 0.9003284766568521, 0.9003274290512558, 0.900378091363436, 0.9004424670314678, 0.9004581609900821, 0.9005118471945673, 0.9005074614907285, 0.9006078781266919, 0.9005912270978745, 0.9006428314534471, 0.9006824858905035, 0.900737885421961, 0.9008325290811444, 0.9009935801707359, 0.9010914729751817, 0.9011008244782146, 0.9013204265170923, 0.9013595125755428, 0.9013600580322184, 0.9014032018297112, 0.9014316537830613, 0.9014496905018299, 0.9014160995110347, 0.9013933946446819, 0.9013832851834006, 0.9014302266233016, 0.9014963399594212, 0.9016042275176769, 0.9016751354577671, 0.9017592187751967, 0.9017895245597938, 0.9016122176658612, 0.9015973160247269, 0.9015777394216752, 0.9016185099173709, 0.9016215840449732, 0.9017043767643848, 0.9017041099616431, 0.901711454250776, 0.9018084367362523, 0.901837942393378, 0.9018968184994883, 0.9019392522478051, 0.9019558268546419, 0.901999146602676, 0.9020573037157839, 0.9021505162331517, 0.9022142832326789, 0.9022336050539094, 0.9023555378075552, 0.9023964799245698, 0.9023824245583985, 0.9024002253788693, 0.9023598718258427, 0.9023669168778286, 0.9023699514485408, 0.9024274458193752, 0.9023634021632588, 0.9024747257810951, 0.9024391289474338, 0.9025200609067277, 0.9025464245673269, 0.9025981621580709, 0.9026105597561842, 0.9026158638959773, 0.9026106028302733, 0.9025849333389744, 0.90258919124658, 0.9027016738655068, 0.9027214625317179, 0.9027433388936477, 0.9027251659524191, 0.9027496211066509, 0.9029500502120476, 0.9028840712202342, 0.9028950377195731, 0.9029312960318506, 0.9028995851245893, 0.9029437174521173, 0.9029697066803953, 0.9029689193312501, 0.9028985239982016, 0.9028933824645006, 0.9028746235570052, 0.902872396347831, 0.9028161475849984, 0.9028428027867167, 0.9028285182331508, 0.9028008992741168, 0.9027680612480742, 0.9028059140554374, 0.9028518405830367, 0.9028775744649955, 0.902835922216642, 0.9028206167743917, 0.9027566214281051, 0.9027406550266232, 0.9026708597324432, 0.9027803665385885, 0.9027374587457262, 0.9026320468299533, 0.9027143082434046, 0.9026586344403574, 0.9026336128747986, 0.9026620957381697, 0.9027567461398585, 0.9027458352680038, 0.9027844317897236, 0.9029956302453764, 0.9030032921893104, 0.9030423165243746, 0.902980865069716, 0.9029126435395112, 0.9028551608510389, 0.9028277434835968, 0.9028185027277311, 0.9028656741900233, 0.9029808834697047, 0.9030422104395174, 0.9031182557689115, 0.903199295595067, 0.9032006353379948, 0.9031165782396303, 0.9030922969361698, 0.9030643670723618, 0.9029830961913409, 0.9029626788842574, 0.9027773242562688, 0.9030187579022324, 0.9029589045713713, 0.9029768984575208, 0.9029860763664319, 0.902916519169465, 0.9030777752521437, 0.9030657798211389, 0.9031513186023882, 0.9031514074611476, 0.903193941856851, 0.9031730573941663, 0.9032240309592, 0.9031591242707364, 0.903131634819533, 0.9031026039149751, 0.9030744863965656, 0.9029845429223798, 0.9029537299899845, 0.902891627192206, 0.9030195861801059, 0.903119535927099, 0.903027579599746, 0.9029201743001082, 0.9030789095446051, 0.9030048462448628, 0.902960997697018, 0.9028945582926208, 0.9028555012647566, 0.9028170310993491, 0.9028514920461769, 0.9029289928551029, 0.9029530087789774, 0.9032074547018565, 0.9031673995228878, 0.9031379607552322, 0.9031094161645584, 0.903308457245682, 0.9032421469225573, 0.9032776068502799, 0.9031421064643715, 0.9033431530083914, 0.9038775603575002, 0.9037621822938955, 0.9039581459920016, 0.9039282128200112, 0.9039178258798592, 0.9038807012123868, 0.903926445120301, 0.9038629176993419, 0.903761228016262, 0.9039214726452719, 0.9038332243104513, 0.9038155215241428, 0.9039700313737227, 0.9039886223798155, 0.9039950698271384, 0.903917657123839, 0.9039775966456269, 0.9040327133634335, 0.9041380339301452, 0.9043761061401816, 0.9044246986060691, 0.9043170848761558, 0.9044663372420239, 0.9044665654187237, 0.9044869018483097, 0.9045553730953517, 0.9045004575758819, 0.904474764464169, 0.9045589764069347, 0.90456283900708, 0.9046235583396757, 0.9046592630037689, 0.9045757102951909, 0.9046018117369042, 0.9047509423886742, 0.9048466944687653, 0.9048029866887028, 0.9048632035802882, 0.9047884222450427, 0.9047821134334685, 0.9047496262246515, 0.9048085274797664, 0.9047006782157774, 0.9048392974622994, 0.904905632970946, 0.9050051017869363, 0.9050192173136906, 0.9051001917308811, 0.905161934449868, 0.905155236086814, 0.9052191243218889, 0.9051712181092746, 0.9051446371883434, 0.9051700151463807, 0.905255904903527, 0.9052034686532439, 0.9051423636753201, 0.9051187868355832, 0.9050873752065448, 0.9051847847911375, 0.9050868465956726, 0.905062895324406, 0.9050622547996088, 0.9050774448107411, 0.9050419918131386, 0.9050802862027368, 0.9051203553369109, 0.9050211484749874, 0.9050562468254475, 0.9050143910850328, 0.904927530739595, 0.9049592472046099, 0.9050786967104697, 0.904997965029864, 0.9048422491413746, 0.9048425766200585, 0.904778771826189, 0.9046516718779444, 0.9047157044173529, 0.9046700410549952, 0.9045792785039904, 0.9046277236634731, 0.9045812511446587, 0.9046060385221961, 0.9045811208682839, 0.9045589017370427, 0.9045664481440443, 0.9045347702373916, 0.9045092275019209, 0.9044866886051148, 0.9044941943125232, 0.90445447298811, 0.9044651936766201, 0.904496036482528, 0.9045374353626211, 0.9045315568486515, 0.9045523306989015, 0.9045576198079621, 0.9045530967021693, 0.9048157298443096, 0.9047387855379633, 0.9046584381065904, 0.9045612863713893, 0.904620388286704, 0.9045900604438833, 0.9047008191621061, 0.9046150591191608, 0.9047143307220911, 0.9046921786347794, 0.9047583958145275, 0.9047231435103039, 0.9046519640804803, 0.9046035573377559, 0.9046099297145322, 0.9044720408240372, 0.9044967604900491, 0.9045552753687733, 0.9045273198254571, 0.904485024260752, 0.9045721678197333, 0.9045260221134358, 0.9044612377834331, 0.9044877217539482, 0.9044576868812153, 0.90454181340393, 0.9045675104195949, 0.904542381516936, 0.9045578775915855, 0.90452592677642, 0.9045309722971564, 0.9044223462378779, 0.9043418886156692, 0.904212662126646, 0.9043361739306215, 0.904321545717941, 0.9042643261364393, 0.90413202215835, 0.9040142202081513, 0.904108216809267, 0.9040649835654071, 0.9039981573229467, 0.9039714871457104, 0.9038907090889402, 0.9040120810108704, 0.9041948905879951, 0.9043193150480262, 0.9043001397615177, 0.904198450471941, 0.9040819849992323, 0.9040386496627222, 0.9040419728089416, 0.903997797145254, 0.9038305771719826, 0.9039617321935709, 0.9038820449377791, 0.9039405831079516, 0.9038908476981138, 0.9038816945760293, 0.9037462927244069, 0.9037300973774985, 0.903689115220032, 0.9037507840485726, 0.903817496751275, 0.9037460995162124, 0.9037135690545307, 0.9036456453224085, 0.9036366995227724, 0.9036968223535535, 0.903761081670051, 0.9036621352049751, 0.9036010220819019, 0.903592454755505, 0.9037326068371804, 0.9040102497202136, 0.9039906189551895, 0.9039612898131475, 0.9041690536916264, 0.9041761748639752, 0.9041659822325389, 0.9041615767086221, 0.9042661287158318, 0.9040844564118912, 0.9040727546872506, 0.9040825321166811, 0.9040343830640656, 0.9039640445637928, 0.903966662681673, 0.9038801989845633, 0.9039844000515248, 0.9043389647078859, 0.9043524417595685, 0.9042738121609489, 0.9043097575165449, 0.90420916936787, 0.9041165438565341, 0.904162455588318, 0.9040518654359363, 0.9039699604445753, 0.9039866937967229, 0.9039545295220185, 0.9038493480462413, 0.9038749220933165, 0.9038674966307634, 0.9038385886446922, 0.9038172822837031, 0.9036792723804834, 0.9036365996364181, 0.9037294563843237, 0.9035938387269853, 0.9034786928548061, 0.9034597696058612, 0.9039890850809635, 0.9040217596918332, 0.9038943672541935, 0.9038234902875797, 0.9042817089914735, 0.9041228101860214, 0.9040613507665592, 0.9039492174109663, 0.9039530849993435, 0.9039111884093348, 0.9038791271490868, 0.9037955625644023, 0.9036471531582322, 0.9036041154375705, 0.903686495069596, 0.9034400702848036, 0.9034213383899775, 0.903465174706189, 0.9034369135409175, 0.9033081311343804, 0.9032932034739104, 0.9032160189662276, 0.9030862376243526, 0.9030751723716217, 0.9029423428658062, 0.902947075375681, 0.9028447563811017, 0.902854430360732, 0.9028662432361068, 0.9027665121122148, 0.9026324186102076, 0.9026105314810074, 0.9026893489463632, 0.9027041691808003, 0.9025892126801047, 0.9027096331062904, 0.9027295091867892, 0.9026642358132124, 0.9026849629640431, 0.9026070233470518, 0.9025439043317502, 0.902338576702627, 0.902189718884826, 0.9021459640016342, 0.9021894032757128, 0.9022881104412712, 0.9021662823748919, 0.90217933020119, 0.9021011679249644, 0.9020981380309782, 0.902039655516466, 0.9020725857543669, 0.9020316105387383, 0.9020186361155884, 0.9019892691348764, 0.9019803337726678, 0.9020398146662706, 0.9019850603283927, 0.9018960681433612, 0.9016912676993132, 0.9016875128529922, 0.9017728348046853, 0.9016832047395755, 0.9017182694411201, 0.9017150629651476, 0.9016389210678317, 0.9017338331013905, 0.9016707154878134, 0.9016395567784443, 0.9016159522219038, 0.9016089838386186, 0.9015755212786575, 0.901503581509945, 0.9014142595452515, 0.9014709673195661, 0.9014213152187727, 0.9013740588469211, 0.9014940382721087, 0.901637531066372, 0.9016409034107402, 0.9016571703050982, 0.901640296076096, 0.9016144741252471, 0.9015864976934725, 0.9014630497914401, 0.901465039810501, 0.9014798743618235, 0.9013998941037967, 0.9013302847466226, 0.9013654920389842, 0.9011907035222585, 0.901234849946355, 0.9010725701833968, 0.9010794512082282, 0.9010934216012457, 0.9010347701164116, 0.9009549760401807, 0.9010209522440152, 0.901007270972095, 0.9009966634747099, 0.9010465985332655, 0.9010156901321751, 0.9009254848353044, 0.9008435975061861, 0.9011425354064706, 0.9010853775405336, 0.9012267325097156, 0.9011668629733139, 0.9010156271820797, 0.9009330763549274, 0.9007828256511797, 0.9006516030277072, 0.9005317567674536, 0.9003285938352729, 0.9001877750162073, 0.9000654566040406, 0.9001364602668162, 0.9000397925811706, 0.9001263007238928, 0.9000103481252052, 0.8999226394767356, 0.900079223342688, 0.8999635986744897, 0.8998239215193058, 0.8997416192998757, 0.899647880965709, 0.8995847308447368, 0.8995034012432662, 0.8993512368326536, 0.8994483338332456, 0.8994022931420282, 0.899336628381031, 0.8992589957802272, 0.899406674611977, 0.8994028297673476, 0.8997168758588253, 0.8995464090795927, 0.8994624298393589, 0.8994672333659037, 0.8993863569106039, 0.8993144628126127, 0.8992447345649452, 0.8994071390110383, 0.8996565659972233, 0.8995190425538906, 0.8994369280418862, 0.8993407082063833, 0.8992502378399602, 0.8990811198308262, 0.8993261689230359, 0.8991974656209314, 0.8993286480946294, 0.8991528483896668, 0.8990787029056293, 0.8990204839284961, 0.8989304566216187, 0.8987281181619255, 0.8987105298690277, 0.89856762593056, 0.8986096240118184, 0.8984362119163678, 0.8984525181220192, 0.8984272148694019, 0.8983412838090441, 0.8983005183580658, 0.8981894121701428, 0.8981596166351689, 0.8981103350071051, 0.8980519365137027, 0.8979622088110925, 0.8978821871331832, 0.898034110348605, 0.8979052724617249, 0.8979545065027721, 0.8978976342524096, 0.8978328452354134, 0.897716073704019, 0.8977800375202095, 0.8976599415740381, 0.8976196737896087, 0.8974047261027034, 0.897309685678924, 0.8974473374236371, 0.8976393050708127, 0.8977165470153919, 0.8976406730521169, 0.8980817649117657, 0.8982001121393408, 0.8982315525169222, 0.8982503306376428, 0.898085027588761, 0.8979758335717632, 0.898014248208065, 0.8979236753519667, 0.8978576801847155, 0.8979742015037783, 0.8979210531009009, 0.8978482598427595, 0.8976788740697075, 0.8975757492702581, 0.8974629842471773, 0.8972973201785066, 0.8972820372997121, 0.8969338680556665, 0.8967610644777814, 0.896508690780467, 0.8964346167626003, 0.8961728037424442, 0.8959827353655246, 0.8958668610689894, 0.8958922776292586, 0.8958193145065011, 0.8956445515567292, 0.8955245029647715, 0.8956004171876962, 0.8955918200256787, 0.8954821899721681, 0.8959529428339967, 0.896054263258002, 0.8961360745399549, 0.8961982409110043, 0.8961138916645133, 0.8959540850596289, 0.895883874420264, 0.8958263597859512, 0.8956854446809296, 0.8956282627728062, 0.8957757821709124, 0.8955492679472187, 0.8954999898373754, 0.8954922252823724, 0.8953230005242815, 0.8952591813073297, 0.8951925514928766, 0.8950447791247363, 0.894865321023496, 0.8951270821515432, 0.8949353231196393, 0.8950896771990068, 0.8951901597036256, 0.8951954483316772, 0.8952178101749214, 0.895471818896034, 0.8952512482736641, 0.8950429535764208, 0.8949081125643107, 0.8950944666506594, 0.8951355002668909, 0.8951285088238777, 0.8952214607104209, 0.8950590791990575, 0.8949327389499704, 0.8951296812413465, 0.8950136695345182, 0.8950930463738954, 0.8950668398907294, 0.8949537664528177, 0.8949035593269425, 0.895139861069806, 0.8951197343545494, 0.8951843251934577, 0.8950334166469025, 0.8948580415063607, 0.8947537605403297, 0.8947713027357352, 0.894634201524232, 0.894763700280668, 0.8946691705991512, 0.8949111441101468, 0.8946556733801873, 0.8949786744835343, 0.8951209026735036, 0.8949728793825843, 0.8948585696558062, 0.8947291773378729, 0.8946134623176406, 0.8945213791989787, 0.8943843451396735, 0.8942688034897108, 0.8941491470630096, 0.8940315180327116, 0.8940907053169219, 0.8937570744226053, 0.8937125998354104, 0.8939768332793542, 0.8937868158158482, 0.8938311621013795, 0.8935581183461639, 0.8934038498586372, 0.8932815082456113, 0.8930709650408206, 0.8930166171251981, 0.892980586779484, 0.8929330139957617, 0.8928153709933546, 0.892660877368949, 0.8925669186064178, 0.8924100503630563, 0.8926672849014075, 0.8926130656608995, 0.8925266230138572, 0.8926043058668671, 0.8925359579729053, 0.8923722819266662, 0.8921018372547938, 0.8922646417546359, 0.8921329825814902, 0.8919964017795724, 0.8919308964357009, 0.8919683335014434, 0.8917316351560952, 0.8915652901403042, 0.8914800499233007, 0.891704282255999, 0.8916378577187731, 0.8914429941148877, 0.8913613546115232, 0.8917943591614202, 0.8918093054457261, 0.8917614736080114, 0.891650053511846, 0.8917363657396047, 0.8916216781929875, 0.8915656548603842, 0.8917286481541095, 0.8916473511455671, 0.892373392354239, 0.8922102016310317, 0.8921863784990829, 0.8919877499364357, 0.8920253391074049, 0.8919750165609918, 0.8919028526395113, 0.8919653114283986, 0.8918064360573987, 0.8917557793528862, 0.8915688878246294, 0.8917732169582588, 0.8917493959067222, 0.8916188681226989, 0.8914472241631851, 0.8912699691037149, 0.8911445772528034, 0.8911162748340966, 0.8910340338232197, 0.8911212230719875, 0.8910970427953434, 0.8911782059910991, 0.8913543088810086, 0.8913536737718066, 0.891343714421465, 0.8911935250602984, 0.8910129196873354, 0.8909120189275872, 0.8908500363908711, 0.8906991977659074, 0.8906631410732642, 0.8906268486468284, 0.8906334785919591, 0.8904208611205577, 0.8904944279051001, 0.8904576220067638, 0.8903421356031987, 0.890076734995156, 0.8899442746053621, 0.8897784317119612, 0.8896632814354166, 0.8895572352199539, 0.8895825356654806, 0.8895772993273158, 0.8894468191710899, 0.8893974245366617, 0.8892947541133182, 0.8894811857710002, 0.8892691501503306, 0.8892819198206343, 0.8892827686841771, 0.88954468266436, 0.8894469558342525, 0.8893108385731183, 0.8895597210462207, 0.8895983149039309, 0.8894234552219512, 0.8893032823827859, 0.8892632752739009, 0.8891291647973559, 0.8892331839290626, 0.8896021309661699, 0.8893466285656665, 0.8890602659772411, 0.8890049048569049, 0.8888302155371044, 0.8888861501653094, 0.8888522775200337, 0.8888288574081601, 0.8887251484840306, 0.8887026923684364, 0.8886840699881712, 0.8885363440881741, 0.8887815107049722, 0.8885909688850707, 0.8885669457650092, 0.8886848308293163, 0.8883929025197613, 0.8882733634625767, 0.8886121142062137, 0.8886526253175029, 0.8883883515108937, 0.8882870963030423, 0.8881195548533446, 0.8878498698058405, 0.8877480347681546, 0.8876287408537643, 0.8875494669576386, 0.8874809934110491, 0.8873353957394389, 0.8872862809345738, 0.8872026609679236, 0.887025800257318, 0.8870436103245652, 0.8870022200026118, 0.8867298426980632, 0.886798651734879, 0.8869895858216006, 0.8869053354316772, 0.8865313289494903, 0.8865620048452104, 0.8864049394011985, 0.8864044643887798, 0.8863897272241557, 0.8862828353701541, 0.8862791575615457, 0.8862242691025674, 0.8862459599989797, 0.8860876167669917, 0.8858971448656644, 0.8858101803904029, 0.8858853457357967, 0.8859884009148055, 0.8857788627374221, 0.8858784391129891, 0.8858316458069222, 0.8856679743038135, 0.8852744525711125, 0.8852183807800209, 0.8849662593744834, 0.8849423628408958, 0.8847347435265408, 0.884493496942748, 0.8843850226785341, 0.8843558381419312, 0.884552641007463, 0.8844236837433402, 0.8842579485021235, 0.8842528940611584, 0.8841867872009774, 0.8836642318562837, 0.8835444899918324, 0.8833496480678693, 0.8832142217654981, 0.8835761762940163, 0.8834814097765724, 0.8834519852588734, 0.8829984388476287, 0.8830669146083359, 0.8828070147601915, 0.8825576813624623, 0.8835079030663697, 0.8832574545177773, 0.8835544384305286, 0.8836693776121088, 0.8835048648342558, 0.8834985699314661, 0.8836475620744996, 0.8835340711253195, 0.8833568207728217, 0.8837412176670201, 0.8836909317624801, 0.8842705167173253, 0.8842339553244317, 0.8840536672482131, 0.8839583892340399, 0.8840690812311964, 0.8838771712415917, 0.8837476115293889, 0.8837188476845189, 0.8836226575578353, 0.883630233704598, 0.8831465246879006, 0.883025207963597, 0.8832283625613853, 0.8830700679984795, 0.8828588293287691, 0.8826734394477752, 0.8829280723735904, 0.8830257459891279, 0.882871267228587, 0.8830450138831072, 0.8826533249480948, 0.8825351960731431, 0.8823764791891524, 0.8822520014299797, 0.8820597970589831, 0.8820706115581757, 0.8821804268818797, 0.8819997554670579, 0.8821824243909269, 0.8820172286876051, 0.8817608074100426, 0.8816347996769658, 0.8817817873016223, 0.8816665268030264, 0.8814567601781114, 0.8812647471038019, 0.8811665770302645, 0.8810161915743268, 0.8810108841442322, 0.8807858718461545, 0.8807033337140221, 0.8805290867553266, 0.8804118565023228, 0.8805230170250593, 0.880148383629935, 0.8799218613831803, 0.8797469789890046, 0.8795488164840134, 0.8793637852228551, 0.8794611900778785, 0.8795425684565696, 0.8795110085161955, 0.8794588654328639, 0.8794672457808222, 0.8796386125202886, 0.879447108132319, 0.8795343151522207, 0.8791858542645506, 0.8791034660060298, 0.878963722810827, 0.8794539380460384, 0.8793613580674091, 0.8791227970866825, 0.8790926099158092, 0.8792144685692614, 0.8790522802903353, 0.8789265644347081, 0.8786454242241201, 0.8785807712762135, 0.8784043541176216, 0.8782758429952213, 0.8784626414930367, 0.8785276103347354, 0.8783542299960181, 0.8782877910233988, 0.8781353352650219, 0.8781668020314503, 0.8779907002268595, 0.877664617999774, 0.8773088404586005, 0.877225011410315, 0.8770158151122184, 0.8770335165107184, 0.8768872366790582, 0.8769962378475025, 0.8767812717683352, 0.8765940886502884, 0.8765721307053734, 0.8765943813700167, 0.8764477216163854, 0.8761678662496388, 0.8761016436422305, 0.8761557392566416, 0.8757608714941602, 0.8752455770646947, 0.8752312351850009, 0.875300109688653, 0.87533441987761, 0.875967794279003, 0.8755132507302584, 0.8754144991813642, 0.8753173850332003, 0.8753236277532753, 0.8751215341585926, 0.8750274498321639, 0.8748425845200039, 0.8750380373763129, 0.8750285547739644, 0.8750729867492886, 0.8749137290644806, 0.8748153657867528, 0.8749573456706847, 0.8748261363726683, 0.8747085118518617, 0.8746843476252054, 0.8746230554447547, 0.8744967426493119, 0.8743916520663163, 0.8741390005989561, 0.874149997185643, 0.8740364518353362, 0.8738330070772474, 0.8738999692826696, 0.873522605620857, 0.8735941518884527, 0.8737265575441469, 0.8737340148592928, 0.8736069783556841, 0.8734560175864358, 0.8736600890458363, 0.8735183152883109, 0.873721975056125, 0.8736214507065022, 0.8736718443350782, 0.8735510745366052, 0.8745121419384043, 0.8744761783742123, 0.8743744297287582, 0.8747604507270372, 0.8747618915391664, 0.8747852723219498, 0.8748715950057765, 0.8746580404077022, 0.8744546302658556, 0.8754458977407847, 0.8752996590982545, 0.8752082114077342, 0.8751189731979433, 0.8749788314987299, 0.8749589481671064, 0.8749110617876085, 0.8745446887947912, 0.8744580482329951, 0.874380637059025, 0.8742581422021629, 0.8741617899383284, 0.8740669982731221, 0.8740865945715978, 0.8740671614923112, 0.8751191445852036, 0.874925085337572, 0.8751396283347599, 0.8757827166827972, 0.8753635498279271, 0.8750363437190711, 0.8748702079907755, 0.8750280008017072, 0.8746834394452202, 0.8745506542000682, 0.8744479345559599, 0.8742086397222734, 0.8736318705111168, 0.8735384357749056, 0.8733948635634029, 0.8731540923749527, 0.8730452000012037, 0.8731997192167115, 0.8737768694528926, 0.8737061110436156, 0.8738298849735479, 0.8737064015037274, 0.8747728065505149, 0.8746999549357605, 0.8746868169535398, 0.8755729826540772, 0.875479163708866, 0.8755241641205794, 0.8749750989815483, 0.8748511802728933, 0.874869652626206, 0.875173509700841, 0.8750931401676995, 0.8749806976575623, 0.8747087370966977, 0.8746377225192317, 0.8745317876506216, 0.8743650869330282, 0.874463105946032, 0.8742954064325248, 0.8745957565230743, 0.8744171119562252, 0.8741495832757007, 0.8745607836684123, 0.87435592420432, 0.874241349029672, 0.8740179464204553, 0.8740128809084909, 0.8738627893275525, 0.8740672371957106, 0.8739223363160405, 0.8736985476118758, 0.8735291899848862, 0.8732748876212507, 0.8731143172059815, 0.8730811430604841, 0.8728364360516382, 0.8726201704310416, 0.8724733042438217, 0.8722319298921674, 0.872058016333727, 0.8719793967622531, 0.8719604799813081, 0.871663016753772, 0.8715016146393972, 0.871259967242065, 0.8712335796733996, 0.8711671177266577, 0.8710942000013553, 0.8712509492884168, 0.8714323219442673, 0.8716436967216192, 0.8714698923701809, 0.8713548426867399, 0.8711684016221891, 0.8708882541212101, 0.8708103806442945, 0.8709081300279441, 0.8707225913621263, 0.8707114594377343, 0.8704974300776356, 0.8704319052352781, 0.8702279698828779, 0.8704118908422913, 0.8703395169758488, 0.87014908108146, 0.8705594823645251, 0.8704877172971717, 0.870538845748487, 0.870313836064647, 0.8702191252674956, 0.8695407738455297, 0.8694246399543705, 0.8692122433519857, 0.8691237630861895, 0.869405413958908, 0.8692571107582289, 0.8690480488069022, 0.8688747567266439, 0.8685416893337685, 0.8683004814242892, 0.8680943976418785, 0.8679745087393923, 0.8678214173664972, 0.8680257471466263, 0.8677858083158239, 0.8676064509495762, 0.8682692484676692, 0.8682092518240775, 0.8684426502229222, 0.8681973797314522, 0.8681408347272653, 0.8679929883460964, 0.8677415033822753, 0.8676040599683397, 0.8676997314629109, 0.8680806550788104, 0.868252140803949, 0.8679840703621916, 0.8678483844273228, 0.8677118242923412, 0.8674961285033249, 0.8675617235862572, 0.8673489200826928, 0.8671973731935934, 0.8672059357849042, 0.8671140990987541, 0.8668910284699011, 0.8668144584979022, 0.8666602557938263, 0.8670085101300983, 0.8673126420547729, 0.867117787318898, 0.8671627986176417, 0.8669058469892369, 0.866949251409683, 0.866831284054573, 0.8668143560301723, 0.8666671886806488, 0.8669286146068034, 0.8672384367946268, 0.8671158710085362, 0.8670017122201789, 0.8668650439405662, 0.8671676006113093, 0.8672287878364849, 0.8681833643475999, 0.8679486614034314, 0.8675335442171943, 0.8674677917880645, 0.8671382980014318, 0.8669588983325764, 0.8668047601640876, 0.8666520282359065, 0.8664724932276922, 0.8663260684161773, 0.8661879202307133, 0.8662437609107226, 0.8664387928445975, 0.8663114156642631, 0.8660943391556175, 0.8661012391137958, 0.865940239919999, 0.8660440021780788, 0.8656588014199207, 0.8655115028558527, 0.8652362099047107, 0.8651356712955179, 0.8648361560964095, 0.865152212755712, 0.865194398612345, 0.8649860324522598, 0.8662207215272981, 0.8660439997094601, 0.8661963979416809, 0.8660333112861524, 0.8658286874526808, 0.8657722459498947, 0.8655665671023326, 0.8656375368396453, 0.8656148576331264, 0.8654500329758061, 0.8650072848779892, 0.8647371504008533, 0.8653520953991466, 0.865109739218314, 0.8652473530887232, 0.8668731607737785, 0.8666448303182943, 0.866452399423695, 0.8662353635955934, 0.8660171715823658, 0.8661520386328406, 0.8658967817018038, 0.8656952703854192, 0.8654454449057349, 0.8653594947884291, 0.8651876440423412, 0.8649641467745652, 0.864722710072242, 0.8650531469549707, 0.8652280892362332, 0.8651316692753385, 0.8662213661501119, 0.8659873269922144, 0.8658645976862683, 0.8658128170090558, 0.865557888087984, 0.8656538631552009, 0.8653945790021518, 0.8651343649542135, 0.865004661797158, 0.8648428946663597, 0.8648896669537349, 0.8647337752718866, 0.8646097385645644, 0.8644437179906287, 0.864195244269045, 0.8639995434311152, 0.8636671791003447, 0.8635153288300562, 0.8633589722726119, 0.8631001476991541, 0.8629195017875677, 0.862752644923527, 0.8625774377848218, 0.8624369768171182, 0.8623391807214946, 0.8621845893310753, 0.8623145141326033, 0.862149248798223, 0.8619944412264349, 0.8618979341019488, 0.8617319597719432, 0.862071332607651, 0.8620052848203849, 0.861899539156908, 0.8616477706661149, 0.8617811539050044, 0.8615604421681268, 0.8615957072571335, 0.8613438279518599, 0.8610260604186821, 0.8607678431333357, 0.8607490877010066, 0.8605356011942459, 0.8608088150048642, 0.8605066054804766, 0.8603151935016661, 0.8601965589499266, 0.8597688861738954, 0.8594371156643107, 0.8591457083378089, 0.8590755643893019, 0.8589529757719764, 0.8588160826673391, 0.8586020036195082, 0.8583702080145569, 0.8583070247741093, 0.8580379473686948, 0.8578209670696123, 0.8580382112333708, 0.8578421363990932, 0.8580892187459023, 0.8578193323242516, 0.8575315542828764, 0.8575111294617099, 0.8571846027149802, 0.8572387916515659, 0.8574802434371878, 0.8571382629762236, 0.8573524275235767, 0.8570512924092836, 0.8569190713351987, 0.8566269176332786, 0.8562941624089575, 0.8559575047670934, 0.8555788047486629, 0.855324295776575, 0.8556559545898705, 0.8554067528632735, 0.8551756517896597, 0.8562208815985553, 0.8561988060530334, 0.8558958285781091, 0.8560778952654633, 0.8574373452536999, 0.85709472738503, 0.8568101003735878, 0.8566971490048413, 0.8561128990072439, 0.8558898741891207, 0.8554981364187227, 0.8552849346291068, 0.854892634336332, 0.8546471481839525, 0.8546006218381721, 0.8543822249952339, 0.8541759494476625, 0.8538318930196607, 0.8538334284749001, 0.8534998744518216, 0.8541638599101448, 0.8540989590692855, 0.8545925304139129, 0.8551693457500444, 0.8547756835362481, 0.854459757771016, 0.8541804900501527, 0.8540204603887114, 0.8540302259428317, 0.853801063900285, 0.853490313759181, 0.8531372251705838, 0.852993915522408, 0.8526310648196199, 0.8522061885978881, 0.8522496424998619, 0.8533289813212462, 0.8530600408457917, 0.8526345100708518, 0.8530157940554658, 0.8528242143186606, 0.852753833363546, 0.852880310042518, 0.8540328067125255, 0.853785851343163, 0.8536041881635005, 0.8534544600402486, 0.8551949874942576, 0.8558354453063001, 0.8557295907572562, 0.8552758518670972, 0.8549399827232759, 0.8545753006792346, 0.8544514557445871, 0.8548768492160171, 0.854733722015839, 0.8555024989028408, 0.8552169316338659, 0.8552096360165866, 0.8549737007509345, 0.8558293221285536, 0.8553266580217371, 0.8550605818274678, 0.8549721800708143, 0.8544454678441784, 0.8540699925944547, 0.8537550214475387, 0.8531776416539051, 0.8528671462961311, 0.852401115356811, 0.8521097119199585, 0.8518610713520166, 0.8524996528259964, 0.8519194975217673, 0.854444335210595, 0.8556552556707873, 0.8552994672512007, 0.855168982550908, 0.8553804611823871, 0.8551637730445677, 0.8548676375636702, 0.8553515256652966, 0.8551226301480503, 0.8548525767460678, 0.8550838289004582, 0.8550783783586821, 0.8554223923977422, 0.8552056121400687, 0.8548257717923244, 0.8548179871520343, 0.8545021311863604, 0.8548079421042865, 0.8551195086823823, 0.8560561205752959, 0.8558060591495561, 0.8563497623405875, 0.8562294772598603, 0.8559897530733201, 0.8556330794573496, 0.8553824070609973, 0.855134282410421, 0.8545784996133023, 0.854335044909483, 0.8560481920189772, 0.8556596170848688, 0.8555716807217102, 0.8552116264804417, 0.8555175977719746, 0.8552243409761383, 0.8548807853025365, 0.8548720723014257, 0.8544093776736524, 0.8540978877528126, 0.857250224258734, 0.8566710485742571, 0.8564268220245893, 0.8562342836615394, 0.8562820817198668, 0.8557532602081929, 0.8554049041829797, 0.8550222743840451, 0.8549896006827918, 0.8546965227867559, 0.8544990534014996, 0.8545578037347913, 0.8559985159701845, 0.857038837006494, 0.8567704131459386, 0.856788693037085, 0.8563407567419294, 0.8560072872893518, 0.8555676253534726, 0.8554587346684221, 0.8550630217427184, 0.8548744139024943, 0.8543552481834894, 0.8541630087438986, 0.8536656322730799, 0.8530945404003293, 0.8529738077697995, 0.8528539229748149, 0.8525030808522799, 0.8526655317623869, 0.8524795135422008, 0.8520378213869648, 0.8518269527772226, 0.8515580891325332, 0.8509608788313957, 0.8521727896053081, 0.8528413516821841, 0.8540698161898285, 0.8534170558014618, 0.8528190189813944, 0.8524251903218512, 0.8521055565528775, 0.8517560073937154, 0.8514575484263804, 0.8512001530075547, 0.8505680612618869, 0.8501137188482942, 0.8497257947100219, 0.8493765391840986, 0.8509947059917213, 0.8504652693845867, 0.8503307471632638, 0.8499995055037434, 0.8497287306981458, 0.8495576986366945, 0.8493035542747358, 0.8508924531147871, 0.8504045846197308, 0.850409274868393, 0.8497288923315259, 0.8494634655318801, 0.8493022490513261, 0.8491715273834718, 0.8500593144498325, 0.849545786780829, 0.8484571019617748, 0.8480548570462566, 0.8475668571065156, 0.8477939062183836, 0.8477571121817813, 0.8471906497962685, 0.8479875793809097, 0.8491953023053501, 0.8523997803404723, 0.8520261611206859, 0.8517691991695255, 0.851907971700741, 0.8510722036680948, 0.8506501561953739, 0.8501228501228502, 0.8511693511693512, 0.8512754839521136, 0.8505510670819303, 0.8496914725804955, 0.8492886143393944, 0.848500795210029, 0.848955581387157, 0.8485601554678759, 0.8479117135658777, 0.849169862556871, 0.8507552145768401, 0.8513790443126477, 0.8516799185494036, 0.8512341398732406, 0.850672925299791, 0.8501745586861386, 0.8509435129617027, 0.8511339334560103, 0.8506561548824909, 0.8519046058436484, 0.8513931496082955, 0.8507972519979097, 0.8504678879117221, 0.8498288684731979, 0.8500316525199282, 0.8493543572772695, 0.8487873535506236, 0.8483429064883748, 0.8477529124043442, 0.849098771472778, 0.8485600530856006, 0.848082379740765, 0.8490479960282851, 0.8536694632239147, 0.8529596805076864, 0.8528910161192716, 0.8523059928196631, 0.8521467711729208, 0.8539806313671237, 0.8533999803428765, 0.8554442521070404, 0.8559204605516907, 0.8553079608637558, 0.8551861933167313, 0.857207496496964, 0.8564127417720404, 0.8562649924482483, 0.8553611848121, 0.8545577923546709, 0.8549961293847999, 0.8543860986205319, 0.8537819765658549, 0.8530744336569579, 0.8525572536814233, 0.8529517050318283, 0.8557734684883208, 0.8551380428763548, 0.8550003180863923, 0.8541743435282054, 0.8551400361383583, 0.8549848452923157, 0.8556992658240267, 0.8559227199420729, 0.8572921158247372, 0.8567436412315931, 0.8560811151653748, 0.8565503698813333, 0.8564877948997681, 0.8583914282770699, 0.8611962791664501, 0.8608079647712042, 0.8610099453705, 0.8606022209316649, 0.8602045872858559, 0.8594261711519294, 0.8587475629169872, 0.85856878225995, 0.8597942633211778, 0.8592865749023331, 0.8620887139980418, 0.8647261871443231, 0.8642397161256407, 0.8640795042321644, 0.8634731903739862, 0.863792738944091, 0.8635493415327493, 0.8626690571773785, 0.8622089716179903, 0.8618798698096459, 0.8645382575228827, 0.8642465835891879, 0.8657957004469432, 0.8666734610680799, 0.8666037890592964, 0.8670756646216768, 0.8677556965976485, 0.8688844989912575, 0.8686302702245527, 0.8740357135182758, 0.8751227603064097, 0.8742000043986012, 0.874098012306875, 0.8818386154191953, 0.8833329555500148, 0.8837666194544707, 0.8828243747409148, 0.8825387975095251, 0.8819322723129777, 0.8813224539704188, 0.8813330491011157, 0.881249252123968, 0.8805110584135895, 0.8816731412934594, 0.8816348719976278, 0.8808410052251804, 0.8832431071383609, 0.8850920589585353, 0.8841863939620309, 0.8840154680646752, 0.8843218004878944, 0.8849928385762028, 0.886305672635507, 0.8872296601441813, 0.8861870897155361, 0.8855702201526465, 0.8847863532811024, 0.8825046040515654, 0.8823428424275372, 0.8837412079288496, 0.8826557627816674, 0.8813812022900763, 0.8806239293120548, 0.8796703130208176, 0.8782350055194407, 0.8767434620174346, 0.8768606224627875, 0.8772382590964124, 0.8771692585080009, 0.8761122296551276, 0.8756408571052977, 0.8762581802478159, 0.8753730092204527, 0.873923071704769, 0.8731468483582703, 0.872629101481379, 0.8728380365520622, 0.8716307039264237, 0.8702975253897869, 0.8690381414199899, 0.8721622217324223, 0.8709533874735789, 0.8721078725961539, 0.8716169855912175, 0.8725221221840102, 0.8751766923197738, 0.873752038502844, 0.8741123305358296, 0.8830761613994554, 0.8818845111528039, 0.8812436719541006, 0.879801522799213, 0.8835994952351943, 0.8844122997737055, 0.8830159870666427, 0.8816578803853845, 0.8810554429913428, 0.8791089761702929, 0.87737610725401, 0.8760523626453842, 0.8743522676800078, 0.8726854168751876, 0.8707382754941314, 0.8693985390871886, 0.8672052378689477, 0.866207416177816, 0.8647023451593505, 0.8626993387786853, 0.8624185783064288, 0.8648037567395211, 0.8635425876805187, 0.8763100170606873, 0.8739895983457611, 0.8732547713590367, 0.871903520208605, 0.8731801789768933, 0.8736207251045165, 0.876939276939277, 0.8765209878320973, 0.8739786529260214, 0.8723436436512138, 0.8809058961343226, 0.8929823131469558, 0.8886715427793842, 0.8847711267605634, 0.8999170583356373, 0.897460107638561, 0.8944062806673209, 0.8928061952313022, 0.8892048446550816, 0.8859991330732553, 0.8781370374693591, 0.871520078837152, 0.8671506814418546, 0.8627450980392157, 0.8639398998330551, 0.8596364685516446, 0.8655264396673467, 0.8811083123425693, 0.8784871746863883, 0.8708971553610503, 0.9072323587601671, 0.905718336483932, 0.8925686591276252, 0.8832309043020193, 0.8721153846153846, 0.8606843575418994, 0.8445656408258668, 0.8303687635574837, 0.8188585607940446, 0.8101010101010101, 0.7787878787878788, 0.9040511727078892, 1.0], \\\"yaxis\\\": \\\"y\\\"}, {\\\"hovertemplate\\\": \\\"method=Ensemble of BLAST  with  Ensembled-CNN<br>recall=%{x}<br>precision=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ensemble of BLAST  with  Ensembled-CNN\\\", \\\"line\\\": {\\\"color\\\": \\\"#ab63fa\\\", \\\"dash\\\": \\\"solid\\\"}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"Ensemble of BLAST  with  Ensembled-CNN\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"scattergl\\\", \\\"x\\\": [0.9081251032920434, 0.9080247336576871, 0.9079235578415289, 0.9078231882071726, 0.9077224154819153, 0.907619627302153, 0.9075188545768956, 0.9074180818516384, 0.9073177122172821, 0.9072169394920249, 0.9071157636758665, 0.9070153940415103, 0.906914218225352, 0.9068134455000947, 0.9067126727748375, 0.9066123031404812, 0.9065087087789168, 0.9064083391445605, 0.9063079695102042, 0.906207599875848, 0.9061056178778877, 0.9060052482435313, 0.9059048786091751, 0.9058045089748189, 0.9057037362495617, 0.9056033666152054, 0.9055025938899481, 0.9054022242555919, 0.9053018546212356, 0.9052014849868794, 0.9051011153525231, 0.9050007457181669, 0.9049003760838107, 0.9047979909949493, 0.9046976213605931, 0.9045972517262367, 0.9044968820918805, 0.9043965124575243, 0.904295336641366, 0.9041949670070097, 0.9040945973726535, 0.9039938246473962, 0.90389345501304, 0.9037930853786837, 0.9036927157443275, 0.9035923461099713, 0.903491976475615, 0.9033895913867537, 0.9032892217523973, 0.9031884490271401, 0.9030880793927839, 0.9029816633949121, 0.9028800844878528, 0.9027797148534966, 0.9026793452191404, 0.902576960130279, 0.9024765904959228, 0.9023762208615665, 0.9022758512272102, 0.902175481592854, 0.9020734995948937, 0.9019723237787354, 0.9018707448716761, 0.9017687628737157, 0.9016683932393594, 0.9015672174232011, 0.9014668477888449, 0.9013648657908845, 0.9012640930656273, 0.9011637234312709, 0.9010633537969147, 0.9009629841625585, 0.9008626145282023, 0.900762244893846, 0.9006606659867867, 0.9005602963524304, 0.9004595236271732, 0.900359153992817, 0.9002587843584606, 0.9001576085423024, 0.9000572389079461, 0.8999564661826889, 0.8998560965483327, 0.8997557269139763, 0.8996553572796201, 0.8995549876452639, 0.8994546180109076, 0.8993542483765514, 0.8992538787421952, 0.8991535091078389, 0.8990531394734826, 0.8989527698391264, 0.8988524002047702, 0.898752030570414, 0.8986516609360576, 0.8985512913017014, 0.8984509216673452, 0.898350552032989, 0.8982501823986327, 0.8981486034915734, 0.8980482338572171, 0.8979470580410588, 0.8978450760430985, 0.8977447064087423, 0.897644336774386, 0.8975439671400297, 0.8974435975056735, 0.8973432278713173, 0.897242858236961, 0.8971424886026048, 0.8970421189682485, 0.8969417493338923, 0.896841379699536, 0.8967410100651798, 0.8966402373399225, 0.8965390615237642, 0.8964314362531894, 0.8963310666188332, 0.8962302938935759, 0.8961295211683187, 0.8960287484430614, 0.8959279757178041, 0.8958272029925468, 0.8957268333581906, 0.8956244482693292, 0.895524078634973, 0.8954237090006167, 0.8953233393662605, 0.8952229697319043, 0.895122197006647, 0.8950218273722907, 0.8949214577379345, 0.8948206850126772, 0.894720315378321, 0.8946187364712617, 0.8945183668369054, 0.8944179972025491, 0.8943176275681929, 0.8942164517520346, 0.8941160821176783, 0.8940153093924211, 0.8939141335762628, 0.8938137639419066, 0.8937133943075503, 0.893613024673194, 0.8935126550388378, 0.8934122854044816, 0.8933119157701254, 0.893211546135769, 0.8931111765014128, 0.8930104037761556, 0.8929096310508983, 0.892809261416542, 0.8927088917821858, 0.8926073128751265, 0.8925057339680671, 0.8924053643337109, 0.8923049946993546, 0.8922046250649984, 0.8921042554306422, 0.8920038857962859, 0.8919023068892266, 0.8918003248912663, 0.8916995521660089, 0.8915991825316527, 0.8914988128972965, 0.8913968308993361, 0.8912956550831778, 0.8911944792670196, 0.891021150179577, 0.8909207805452207, 0.8908204109108645, 0.8907200412765083, 0.890619268551251, 0.8905188989168947, 0.8904185292825385, 0.8903181596481823, 0.890216983832024, 0.8901166141976677, 0.8900138260179054, 0.8899110378381428, 0.8898090558401826, 0.88970626766042, 0.8896058980260638, 0.8895035129372024, 0.8894023371210442, 0.8893019674866879, 0.8891999854887276, 0.8890992127634703, 0.8889980369473119, 0.8888976673129557, 0.8887968945876985, 0.8886965249533423, 0.888595752228085, 0.8884941733210256, 0.8883938036866694, 0.888291821688709, 0.8881882273271445, 0.8880878576927883, 0.88798668187663, 0.8878842967877686, 0.8877839271534124, 0.8876835575190561, 0.8875831878846999, 0.8874828182503436, 0.8873816424341854, 0.887280869708928, 0.8871805000745718, 0.8870801304402156, 0.8869797608058593, 0.886879391171503, 0.8867790215371468, 0.8866786519027906, 0.8865782822684344, 0.8864771064522761, 0.8863759306361177, 0.8862751579108604, 0.8861747882765042, 0.8860647444605233, 0.8859643748261671, 0.8858640051918109, 0.8857624262847514, 0.8856620566503952, 0.885561687016039, 0.8854613173816828, 0.8853609477473265, 0.8852605781129702, 0.885160208478614, 0.8850590326624557, 0.8849586630280994, 0.8848582933937432, 0.884757923759387, 0.8846527170342184, 0.884550735036258, 0.8844475437655945, 0.8843467710403373, 0.8842379364970595, 0.8841371637718022, 0.884036794137446, 0.8839360214121886, 0.8838356517778324, 0.8837352821434762, 0.8836337032364169, 0.8835333336020607, 0.8834329639677043, 0.883331788151546, 0.8832306123353878, 0.8831108943377821, 0.8830105247034259, 0.8829101550690697, 0.8828097854347133, 0.8827094158003571, 0.8826074338023968, 0.8825070641680406, 0.8824046790791792, 0.8823006816267136, 0.8822003119923574, 0.8820999423580012, 0.8819995727236449, 0.8818992030892887, 0.8817988334549324, 0.8816980607296752, 0.8815976910953189, 0.8814957090973585, 0.8813953394630023, 0.881294163646844, 0.8811929878306857, 0.8810926181963294, 0.8809914423801711, 0.8808906696549139, 0.8807903000205576, 0.8806899303862014, 0.8805895607518451, 0.8804863694811818, 0.880365039119972, 0.8802646694856157, 0.8801626874876554, 0.8800623178532991, 0.8799619482189428, 0.8798567414937742, 0.879755968768517, 0.8796555991341607, 0.8795552294998045, 0.8794548598654482, 0.879354490231092, 0.8792541205967358, 0.8791517355078744, 0.879049350419013, 0.8789489807846568, 0.8788478049684985, 0.8787470322432411, 0.8786466626088849, 0.8785462929745287, 0.8784459233401725, 0.8783451506149151, 0.8782411531624497, 0.8781407835280934, 0.8780404138937372, 0.8779376257139747, 0.8778368529887175, 0.8777364833543613, 0.8776349044473019, 0.8775345348129456, 0.8774329559058863, 0.8773321831806291, 0.8772318135462728, 0.8771298315483125, 0.8770286557321542, 0.8769282860977979, 0.8768279164634417, 0.8767255313745803, 0.8766251617402241, 0.8765219704695606, 0.8764082988354703, 0.8763030921103018, 0.8762027224759456, 0.8760946941144697, 0.8759939213892125, 0.8758931486639552, 0.8757915697568959, 0.8756899908498366, 0.8755888150336782, 0.8754876392175199, 0.8753872695831637, 0.8752868999488075, 0.8751865303144513, 0.8750861606800949, 0.8749640241370832, 0.874863654502727, 0.8747632848683706, 0.8746629152340144, 0.8745625455996582, 0.8744617728744009, 0.8743614032400446, 0.8742582119693812, 0.8741550206987178, 0.8740546510643615, 0.8739542814300053, 0.8738539117956491, 0.8737531390703918, 0.8736523663451345, 0.8735511905289762, 0.8734504178037189, 0.8733492419875606, 0.8731614016276811, 0.8730610319933249, 0.8729606623589685, 0.8728324794524414, 0.8727288850908769, 0.8726059423660629, 0.8725031541863005, 0.8723955289157258, 0.8722951592813696, 0.8721822938290814, 0.87207990874022, 0.8719787329240617, 0.8718747354715962, 0.8717505834740792, 0.871650213839723, 0.8715498442053667, 0.8712898505742029, 0.8711894809398467, 0.871081855669272, 0.8709810829440147, 0.8708633804009142, 0.870762204584756, 0.8706618349503996, 0.8705610622251424, 0.87045827404538, 0.8703562920474196, 0.8702559224130634, 0.870155149687806, 0.8699233724197144, 0.8698230027853582, 0.8697165867874864, 0.8696162171531302, 0.869515847518774, 0.8694041913391889, 0.8693038217048327, 0.8689398306212034, 0.8688394609868472, 0.8687378820797879, 0.8686314660819161, 0.8685310964475599, 0.8684307268132037, 0.8682956913613589, 0.8681953217270026, 0.8680949520926464, 0.8679945824582902, 0.8678926004603298, 0.8677922308259736, 0.8676906519189143, 0.8675600504669808, 0.8674596808326246, 0.8673576988346642, 0.867257329200308, 0.8671549441114466, 0.8670545744770903, 0.8668115106637698, 0.8667099317567104, 0.866523703760435, 0.8664221248533757, 0.8663128872191967, 0.8662125175848405, 0.8661109386777812, 0.8658654563190545, 0.8657646835937972, 0.8656635077776389, 0.8655611226887775, 0.8654607530544213, 0.8653418412386177, 0.8652414716042615, 0.8649540677918277, 0.8648536981574715, 0.8647363987052721, 0.8646360290709157, 0.8645356594365595, 0.8644344836204012, 0.8642760688962968, 0.8641748930801385, 0.8640209123559454, 0.8639205427215891, 0.8638197699963319, 0.863558970183366, 0.8634581974581088, 0.8633279990970764, 0.8632223892810068, 0.8630861445564589, 0.8629857749221027, 0.8628850021968454, 0.8627572223812192, 0.862656852746863, 0.8625556769307047, 0.8624512763873381, 0.8623351862078418, 0.8622344134825844, 0.8621106645759685, 0.8620102949416123, 0.8618933985803139, 0.8617926258550566, 0.8616922562207003, 0.8614653160434209, 0.8613649464090647, 0.8611988729578407, 0.8610952785962762, 0.86099490896192, 0.8607760306026612, 0.8606748547865029, 0.8605744851521466, 0.8604741155177904, 0.8603737458834342, 0.8602729731581769, 0.8601726035238206, 0.8600722338894644, 0.8599710580733061, 0.8598702853480489, 0.8596759955337528, 0.8595752228084955, 0.8594744500832383, 0.859373677357981, 0.8592612149965939, 0.8591580237259304, 0.8589919502747064, 0.8588915806403502, 0.8587900017332909, 0.8586896320989347, 0.8585892624645783, 0.8584840557394098, 0.8583820737414495, 0.8582804948343901, 0.8581781097455287, 0.8580777401111724, 0.8579761612041131, 0.8578532184792993, 0.8577508333904379, 0.8576504637560817, 0.8575496910308243, 0.8574493213964681, 0.8573489517621119, 0.8572485821277557, 0.8571445846752901, 0.8570389748592205, 0.8569386052248643, 0.856838235590508, 0.8567370597743497, 0.8566362870490924, 0.8565359174147362, 0.85643554778038, 0.8563351781460237, 0.856227149784548, 0.8561267801501917, 0.8560264105158354, 0.855924025426974, 0.8558236557926178, 0.8556660472503154, 0.8555656776159591, 0.8554653079816029, 0.8553621167109395, 0.8552548945312658, 0.8551545248969095, 0.8549840174457742, 0.8548824385387148, 0.8547260392691156, 0.8546256696347594, 0.8544894249102115, 0.8543874429122511, 0.8542870732778949, 0.8541867036435387, 0.8540359476465538, 0.8539355780121975, 0.8537832096516086, 0.8536816307445492, 0.8534949996573727, 0.8533946300230165, 0.8532233163900791, 0.8531197220285146, 0.8530189493032574, 0.8529177734870991, 0.8526081996751087, 0.8525074269498515, 0.8524070573154953, 0.8523034629539308, 0.8520152529596949, 0.8519148833253387, 0.8518145136909825, 0.8517141440566262, 0.8516137744222699, 0.8511723898856431, 0.8510720202512869, 0.8509716506169306, 0.8508712809825744, 0.8507709113482181, 0.8503065506302326, 0.8502061809958764, 0.8501058113615202, 0.8500054417271639, 0.8498292910034142, 0.8497248904600476, 0.8496241177347904, 0.8495237481004342, 0.8494225722842759, 0.849204097015918, 0.8491037273815618, 0.8490029546563046, 0.8489025850219483, 0.848801812296691, 0.848496672484612, 0.8483963028502558, 0.8482959332158995, 0.8481955635815432, 0.8480943877653849, 0.8476824288645333, 0.847581253048375, 0.8474808834140187, 0.8473801106887614, 0.8472785317817021, 0.8470310339684702, 0.8469302612432129, 0.8468298916088567, 0.8467291188835995, 0.8464546139799987, 0.8463542443456424, 0.8462534716203851, 0.8461531019860289, 0.8460519261698706, 0.8457786305389728, 0.8456782609046166, 0.8455778912702604, 0.8454775216359041, 0.8450510514626154, 0.8449498756464571, 0.8448495060121007, 0.8447491363777445, 0.8446479605615862, 0.8442460789332602, 0.844145306208003, 0.8440449365736468, 0.8439445669392904, 0.8438441973049342, 0.8435765449466509, 0.8434757722213937, 0.8433741933143343, 0.8432734205890771, 0.8428134938710028, 0.8427123180548446, 0.8426103360568842, 0.842509563331627, 0.842066969522297, 0.8419665998879408, 0.8418658271626834, 0.841761829710218, 0.8414873248066171, 0.8413869551722609, 0.8412849731743005, 0.8411846035399443, 0.8410842339055881, 0.8406037495515614, 0.8404993490081948, 0.8403985762829376, 0.8402961911940762, 0.84019582155972, 0.8393166803045755, 0.8392151013975162, 0.8391147317631599, 0.8390139590379027, 0.8389131863126453, 0.838589101228218, 0.8384883285029607, 0.8383879588686045, 0.8382875892342482, 0.838187219599892, 0.8380820128747234, 0.8358565480101418, 0.8357553721939834, 0.8356545994687262, 0.8355497958344587, 0.8354494262001024, 0.8349334698467852, 0.8348314878488248, 0.8347307151235676, 0.8346303454892112, 0.834529572763954, 0.8342175804065575, 0.8341172107722012, 0.834016841137845, 0.8339164715034888, 0.8338132802328253, 0.8335569144197708, 0.8334565447854145, 0.8333561751510583, 0.8332558055167021, 0.8331514049733355, 0.8320739429948848, 0.8319731702696275, 0.8318671573626568, 0.8317607413647852, 0.8316591624577259, 0.8315523433689531, 0.8309634275625496, 0.8308630579281934, 0.8307626882938371, 0.8306619155685798, 0.8305587242979164, 0.8300371246719848, 0.8299359488558264, 0.8298351761305692, 0.8297303724963017, 0.8291063877815086, 0.8290060181471524, 0.8289052454218951, 0.8288048757875388, 0.8284566052490497, 0.8283562356146935, 0.8282558659803372, 0.828155496345981, 0.8280539174389216, 0.8276609038104182, 0.827560534176062, 0.8274593583599037, 0.8273561670892403, 0.827255394363983, 0.8268236840089809, 0.8267233143746247, 0.8266229447402684, 0.8265221720150111, 0.8261710798402148, 0.8260707102058585, 0.8259703405715023, 0.825869970937146, 0.8257651673028785, 0.8250492778626508, 0.8249485051373935, 0.8248477324121363, 0.82474736277778, 0.8246465900525227, 0.8243539460583756, 0.8242535764240194, 0.8241532067896631, 0.8240520309735049, 0.8239504520664455, 0.823430061713217, 0.8233296920788608, 0.8232256946263952, 0.8231253249920389, 0.8230213275395735, 0.8224948908228294, 0.8223933119157701, 0.8222925391905128, 0.8221921695561566, 0.8220797071947695, 0.8219233079251702, 0.821822938290814, 0.8217225686564578, 0.8216177650221902, 0.8215169922969329, 0.8210147410342507, 0.8209143713998944, 0.820811986311033, 0.8207104074039737, 0.8206092315878154, 0.8204254221369461, 0.8203250525025899, 0.8202234735955305, 0.8201227008702733, 0.8200174941451046, 0.819675269970131, 0.8195749003357747, 0.8194741276105174, 0.8193725487034581, 0.8192721790691019, 0.8185901492645606, 0.8184889734484023, 0.8183882007231451, 0.8182878310887889, 0.8181862521817295, 0.8179419790957059, 0.8178408032795476, 0.8177400305542903, 0.8176380485563299, 0.8175376789219737, 0.8170551791134418, 0.8169548094790856, 0.8168536336629273, 0.816752054755868, 0.8166238718493407, 0.8164295820350447, 0.8163292124006885, 0.8162288427663322, 0.816128070041075, 0.8160264911340156, 0.8155173873260159, 0.8154145991462535, 0.8153142295118972, 0.8152134567866399, 0.8151098624250754, 0.8146519511615065, 0.8145503722544472, 0.8144491964382888, 0.8143435866222192, 0.814242813896962, 0.8138578620864791, 0.8137574924521229, 0.8136534949996573, 0.8135531253653011, 0.8134519495491428, 0.8128900408331082, 0.812789268107851, 0.8126888984734948, 0.8125849010210292, 0.812484531386673, 0.8119931635783185, 0.8118927939439623, 0.8117924243096061, 0.8116920546752499, 0.8115908788590915, 0.8113264512280164, 0.8112256785027592, 0.8111249057775018, 0.8110245361431456, 0.8109136861453626, 0.8103602423382497, 0.8102598727038934, 0.8101546659787249, 0.8100530870716656, 0.8099523143464082, 0.8098454952576355, 0.8093908087212748, 0.8092884236324134, 0.8091880539980572, 0.8090876843637008, 0.8085269849203693, 0.8084229874679039, 0.8083210054699436, 0.8082206358355872, 0.8081069642014971, 0.8077413607542637, 0.8076405880290064, 0.8075402183946502, 0.807439848760294, 0.8073390760350366, 0.806914218225352, 0.8068138485909958, 0.8067130758657385, 0.8066127062313823, 0.806512336597026, 0.8059613113353192, 0.8058597324282599, 0.8057569442484975, 0.8056565746141412, 0.8055485462526655, 0.8052301044408524, 0.8051297348064962, 0.80502936517214, 0.8049285924468828, 0.8048274166307244, 0.804725031541863, 0.8042078659158427, 0.8041066900996844, 0.8040030957381199, 0.8039023230128627, 0.8038015502876054, 0.8032307735717482, 0.8031304039373919, 0.8030300343030357, 0.8029296646686794, 0.8028292950343232, 0.8023584848619212, 0.802257712136664, 0.802148474502485, 0.8020481048681288, 0.8019473321428715, 0.8013701059725978, 0.8012697363382416, 0.8011693667038854, 0.8010685939786282, 0.8009641934352616, 0.8006151167149704, 0.8005123285352079, 0.8004115558099507, 0.8003111861755945, 0.8002104134503372, 0.799652938734214, 0.7995517629180556, 0.7994485716473922, 0.7993477989221349, 0.7992450107423725, 0.7986794742082287, 0.7985791045738725, 0.7984775256668131, 0.7983767529415559, 0.7982759802162985, 0.7977027849550352, 0.797602415320679, 0.7975020456863228, 0.7974008698701645, 0.7970243829686032, 0.7969228040615439, 0.7968208220635835, 0.7967188400656232, 0.796618470431267, 0.7958981469911279, 0.7957973742658707, 0.7956970046315145, 0.7955966349971582, 0.7954958622719009, 0.7948686528298997, 0.7947662677410383, 0.7946622702885727, 0.7945614975633155, 0.7944611279289593, 0.7941995219341914, 0.7940987492089341, 0.7939979764836769, 0.7938976068493205, 0.7937968341240633, 0.7929628390498341, 0.7928616632336758, 0.7927608905084186, 0.7926605208740624, 0.792559345057904, 0.7924355961512881, 0.791576206350294, 0.7914754336250368, 0.7913742578088785, 0.7912738881745223, 0.791173518540166, 0.7910727458149087, 0.7902980051031308, 0.7901976354687745, 0.7900972658344183, 0.7899896405638436, 0.7898771782024564, 0.7889678051297349, 0.7888670324044775, 0.7887666627701213, 0.7886638745903589, 0.7881205080557716, 0.7880201384214154, 0.7879197687870592, 0.787818996061802, 0.7877186264274456, 0.787611807338673, 0.7868979333529504, 0.7867975637185942, 0.7866971940842379, 0.7865823131774446, 0.7864819435430884, 0.7860977979144077, 0.7859974282800515, 0.7858970586456951, 0.7857966890113389, 0.7856959162860817, 0.7855951435608244, 0.7849997783000044, 0.7848994086656482, 0.7847978297585888, 0.7846962508515295, 0.7845874163082517, 0.7844858374011924, 0.7835587283288254, 0.7834583586944692, 0.7833579890601129, 0.7832576194257567, 0.7831548312459943, 0.7828633965245503, 0.782762623799293, 0.7826622541649367, 0.7825614814396794, 0.7824538561691047, 0.7823381690805093, 0.781516266733311, 0.7814134785535486, 0.7813131089191924, 0.7812127392848361, 0.7809229169269962, 0.7808217411108379, 0.7807141158402632, 0.7806093122059956, 0.7805089425716394, 0.7804057513009759, 0.779826509676197, 0.7797261400418408, 0.7796257704074846, 0.7795249976822273, 0.779424628047871, 0.7793190182318015, 0.7786257018820314, 0.7785253322476752, 0.7784245595224178, 0.7783229806153585, 0.7782149522538828, 0.7777767924444642, 0.777676422810108, 0.7775760531757516, 0.7774756835413954, 0.7773749108161382, 0.7772745411817819, 0.7764316781077301, 0.7763313084733738, 0.7762297295663145, 0.7761289568410572, 0.7760261686612948, 0.775904032118283, 0.7756508910324367, 0.7755489090344764, 0.7754473301274171, 0.7753461543112588, 0.7752453815860014, 0.7741687257893528, 0.7740679530640955, 0.7739675834297393, 0.7738647952499769, 0.7737591854339072, 0.7736515601633325, 0.7729848478130303, 0.7728844781786741, 0.7727841085443178, 0.7726813203645554, 0.7722008360105287, 0.7721000632852715, 0.7719976781964101, 0.7718973085620539, 0.7717965358367965, 0.7710056714889775, 0.7709040925819182, 0.7708037229475619, 0.7707033533132056, 0.7705900847700164, 0.7703010685939786, 0.7702006989596224, 0.7701003293252662, 0.7699987504182068, 0.7695424515182419, 0.7694420818838856, 0.7693417122495294, 0.7692409395242721, 0.7691405698899159, 0.7684891749938528, 0.7683879991776945, 0.7682872264524373, 0.768185647545378, 0.7680844717292197, 0.7675193382859768, 0.7674185655607196, 0.7673177928354623, 0.7672154077466009, 0.7671150381122447, 0.7665881983045997, 0.7664878286702435, 0.766384234308679, 0.7662834615834216, 0.7661802703127583, 0.7657868535933539, 0.7656860808680965, 0.7655853081428393, 0.765484132326681, 0.7653825534196217, 0.7645945107081098, 0.7644933348919515, 0.7643857096213768, 0.7642817121689112, 0.7641797301709509, 0.7640604152642463, 0.7631131516468279, 0.7630127820124716, 0.7629124123781154, 0.7628120427437591, 0.7627112700185019, 0.7621868487562631, 0.7620864791219067, 0.7619861094875505, 0.7618857398531943, 0.7617853702188381, 0.7616789542209663, 0.7609086475090998, 0.7608082778747436, 0.7607046835131791, 0.7606022984243177, 0.7604995102445552, 0.7599525158918587, 0.7598521462575025, 0.7597509704413442, 0.7596497946251859, 0.7595486188090276, 0.7590757931821205, 0.7589738111841602, 0.7588730384589029, 0.7587726688245466, 0.7586710899174873, 0.7585618522833084, 0.7578040413893737, 0.7577036717550175, 0.757600883575255, 0.7574976923045916, 0.7570780746766204, 0.756977705042264, 0.7568696766807883, 0.7567693070464321, 0.7566560385032428, 0.7561816005127316, 0.7560808277874743, 0.7559804581531181, 0.7558784761551578, 0.7557555334303439, 0.7552552976221668, 0.7551508970788002, 0.7550493181717409, 0.7549461269010774, 0.7548441449031171, 0.7547433721778598, 0.7546357469072851, 0.7537437067433077, 0.7536421278362484, 0.7535409520200901, 0.7534397762039318, 0.7533394065695755, 0.753234602935308, 0.7526017502206923, 0.752501380586336, 0.7524010109519798, 0.7522990289540195, 0.7521865665926323, 0.7518286218725184, 0.751724624420053, 0.7516238516947957, 0.7515182418787261, 0.7514178722443698, 0.7513166964282115, 0.750727377530907, 0.7506249924420456, 0.7505246228076894, 0.7504234469915311, 0.7501574069968518, 0.7500570373624956, 0.7499566677281394, 0.749854282639278, 0.7497527037322187, 0.7496523340978624, 0.7495402748273763, 0.748675644844669, 0.7485752752103126, 0.7484749055759564, 0.7483737297597981, 0.7478815557696417, 0.7477811861352853, 0.7476804134100281, 0.7475796406847708, 0.7474752401414043, 0.7469697641515138, 0.7468685883353555, 0.7467678156100982, 0.7466666397939399, 0.746556595977959, 0.7464550170708997, 0.7463457794367208, 0.7454630103634671, 0.7453622376382097, 0.7452618680038535, 0.7451614983694973, 0.7448220958308308, 0.7447189045601673, 0.7446185349258111, 0.7445181652914549, 0.7444141678389894, 0.7443109765683259, 0.7428392916886687, 0.7427389220543125, 0.7426381493290551, 0.7425377796946989, 0.7424309606059263, 0.7417332102562448, 0.7416328406218886, 0.7415324709875324, 0.7414321013531762, 0.7413281039007107, 0.7412269280845524, 0.7402075111958498, 0.7401071415614935, 0.7400067719271373, 0.739904789929177, 0.7398044202948206, 0.7390651515823333, 0.7389647819479771, 0.7388644123136209, 0.7387636395883636, 0.7384548719581753, 0.7383508745057098, 0.7382505048713536, 0.7381497321460962, 0.7380465408754329, 0.737938915604858, 0.7372484208913952, 0.737148051257039, 0.7370476816226827, 0.7369473119883265, 0.7365135861788192, 0.7364124103626609, 0.7363120407283047, 0.7362116710939484, 0.7361113014595921, 0.7360028700072153, 0.7355647101977967, 0.7354643405634405, 0.735361149292777, 0.7352607796584207, 0.7351334029336956, 0.7344541947654616, 0.7343530189493033, 0.734252246224046, 0.7341518765896897, 0.7340430420464119, 0.7337326620526194, 0.7336314862364612, 0.7335311166021049, 0.7334283284223425, 0.7333275556970853, 0.7332195273356095, 0.732603604438837, 0.7325032348044808, 0.7324028651701245, 0.7323004800812631, 0.7318599017264383, 0.731759129001181, 0.7316587593668248, 0.7315579866415676, 0.7314576170072113, 0.731357247372855, 0.7312548622839936, 0.7301636952149079, 0.7300629224896507, 0.7299520724918677, 0.7298512997666103, 0.7297509301322541, 0.7296199255894197, 0.7290181108741832, 0.728917741239827, 0.7288157592418666, 0.7287145834257084, 0.7282155568902343, 0.7281151872558781, 0.7280148176215219, 0.7279140448962645, 0.7278124659892052, 0.7268051418275335, 0.7267047721931773, 0.7266044025588211, 0.7265032267426628, 0.7263984231083952, 0.7256974480315056, 0.7255962722153473, 0.7254959025809911, 0.7253951298557337, 0.7252943571304765, 0.7251718174965637, 0.7242245538791453, 0.7241241842447891, 0.7240238146104327, 0.7239234449760765, 0.7238166258873039, 0.7230463191754373, 0.722945949541081, 0.7228451768158237, 0.7227448071814675, 0.7226440344562102, 0.7225376184583385, 0.7217008017478022, 0.7215972073862377, 0.7214968377518814, 0.7213964681175252, 0.7212908583014556, 0.7205995574061906, 0.7204991877718344, 0.7203988181374782, 0.720298448503122, 0.7199155121471443, 0.719813933240085, 0.7197135636057287, 0.7196103723350653, 0.7195063748825997, 0.7184095645408997, 0.7183091949065433, 0.7182084221812861, 0.7181076494560288, 0.7180068767307716, 0.7167637443919979, 0.7166633747576416, 0.7165630051232853, 0.7164533643982054, 0.7163485607639378, 0.7159869882257148, 0.7158813784096452, 0.7157789933207838, 0.7156778175046254, 0.7155758355066651, 0.7148212493399386, 0.7147196704328793, 0.7146193007985231, 0.7145189311641669, 0.714410902802691, 0.7139783862658868, 0.7138768073588275, 0.7137760346335702, 0.7136740526356099, 0.7135720706376495, 0.713426957913279, 0.7123942390248424, 0.7122938693904862, 0.71219349975613, 0.7120838590310501, 0.7119826832148918, 0.7110890306873103, 0.710988257962053, 0.7108878883276968, 0.7105114014261356, 0.7104094194281753, 0.710309049793819, 0.7102082770685617, 0.7095250379913174, 0.7094246683569612, 0.7093242987226049, 0.7092231229064466, 0.7089574860026685, 0.7088571163683122, 0.708756746733956, 0.7086543616450945, 0.7085531858289363, 0.7084411265584502, 0.7078477767521354, 0.7077474071177792, 0.7076462313016209, 0.7075458616672646, 0.7071318873119077, 0.7070307114957494, 0.7069303418613931, 0.7068299722270369, 0.7067243624109673, 0.706150764058803, 0.7060499913335456, 0.7059496216991894, 0.7058492520648332, 0.7057400144306543, 0.7056311798873764, 0.7046536844523809, 0.7045525086362225, 0.7044501235473611, 0.7043481415494008, 0.7042360822789148, 0.7036415231998968, 0.7035411535655406, 0.7034391715675802, 0.703338398842323, 0.7032311766626492, 0.7024104835881539, 0.7023101139537977, 0.7022093412285404, 0.7021089715941842, 0.702008601959828, 0.7009242874360597, 0.7008227085290004, 0.7007219358037431, 0.7006215661693869, 0.7005207934441295, 0.7000612698169564, 0.6999609001826002, 0.6998597243664418, 0.6997549207321743, 0.699654148006917, 0.6995529721907587, 0.6987508212977108, 0.6986500485724536, 0.6985476634835922, 0.698447293849236, 0.6983469242148796, 0.6976491738651983, 0.6975488042308421, 0.6974484345964859, 0.6973476618712285, 0.6972472922368723, 0.6971384576935945, 0.6960630111696489, 0.6959626415352926, 0.6958622719009364, 0.6957538404485596, 0.6956530677233023, 0.6955446362709254, 0.6947400668324714, 0.6946392941072141, 0.6945389244728579, 0.6944381517476006, 0.6943349604769371, 0.6936239081275218, 0.6935227323113635, 0.6934223626770073, 0.6933167528609376, 0.6932151739538783, 0.6931144012286211, 0.6930071790489474, 0.6921115110668606, 0.6920083197961973, 0.6919071439800389, 0.6918047588911775, 0.6912194709028833, 0.691118295086725, 0.6910175223614677, 0.6909163465453094, 0.6908022718203182, 0.6902552774676217, 0.6901549078332655, 0.6900545381989093, 0.689953765473652, 0.6894756996650314, 0.6893753300306752, 0.689274960396319, 0.6891745907619627, 0.6885393195019409, 0.6884385467766836, 0.6883373709605253, 0.688236195144367, 0.6881342131464067, 0.6870192637141602, 0.6869188940798039, 0.6868185244454477, 0.6867104960839719, 0.6865944059044755, 0.6864879899066039, 0.6858684391917221, 0.6857676664664648, 0.6856668937412076, 0.6855665241068514, 0.685466154472495, 0.6846442521252968, 0.6845418670364354, 0.6844410943111782, 0.6843358875860095, 0.6842310839517419, 0.6841109628632353, 0.6833829806959768, 0.6832814017889174, 0.6831806290636602, 0.683080259429304, 0.6829734403405312, 0.6821406545390051, 0.6820398818137479, 0.6819383029066884, 0.6818375301814312, 0.6817266801836482, 0.6807507971122568, 0.6806496212960985, 0.6805492516617423, 0.6804460603910788, 0.6803452876658215, 0.6802287943954242, 0.6795052462280768, 0.6794004425938094, 0.6792996698685521, 0.6791993002341958, 0.6790957058726313, 0.6778259695343897, 0.6777239875364294, 0.6776203931748649, 0.6775192173587066, 0.6772547897276314, 0.6771540170023742, 0.6770528411862159, 0.6769512622791566, 0.6768432339176808, 0.6758955672093614, 0.6757951975750052, 0.675694827940649, 0.6755944583062926, 0.6754928793992333, 0.6747870672315314, 0.6746866975971751, 0.6745863279628189, 0.6744815243285514, 0.6740981848816726, 0.6739974121564154, 0.6738966394311581, 0.6737962697968018, 0.6736781641628004, 0.67236973109806, 0.6722693614637036, 0.6721653640112382, 0.6720649943768819, 0.6719351991067506, 0.6710350971247526, 0.6709347274903964, 0.6708343578560401, 0.6707335851307829, 0.6706291845874163, 0.670001572054514, 0.6699003962383557, 0.6698000266039995, 0.6696996569696432, 0.669598884244386, 0.6687358666252826, 0.6686354969909264, 0.6685335149929661, 0.6684270989950943, 0.6676358315563743, 0.6675354619220181, 0.6674350922876617, 0.6673339164715035, 0.6672323375644441, 0.6662242072209704, 0.6661230314048121, 0.6660222586795548, 0.6659218890451986, 0.6654676055997388, 0.6653660266926794, 0.6652656570583232, 0.665164884333066, 0.6645965261626149, 0.6644961565282587, 0.6643957868939024, 0.6642946110777441, 0.6641914198070807, 0.6634388490948594, 0.6633384794605032, 0.663238109826147, 0.662866863106299, 0.6627664934719428, 0.6626657207466856, 0.6625653511123294, 0.6624601443871607, 0.66174304567423, 0.6616426760398737, 0.6615419033146165, 0.6609747544168686, 0.6608743847825123, 0.6607715966027499, 0.6606704207865916, 0.6605672295159282, 0.6604616196998585, 0.6597775744408122, 0.6596768017155549, 0.6595631300814647, 0.6594627604471084, 0.6593615846309501, 0.6586315870091864, 0.6585308142839291, 0.6584300415586719, 0.6583292688334146, 0.6579838199312327, 0.6578798224787672, 0.657779452844411, 0.6576746492101434, 0.6570430057682308, 0.6569402175884683, 0.656838638681409, 0.6567378659561518, 0.6562049797849913, 0.656104207059734, 0.6560034343344767, 0.6559006461547143, 0.6558002765203581, 0.6556946667042884, 0.6549050116291725, 0.6548046419948162, 0.6547038692695589, 0.6546034996352027, 0.6544990990918362, 0.6535570756561312, 0.653456706021775, 0.6533555302056167, 0.6532511296622502, 0.6528657747608663, 0.65276540512651, 0.6526650354921538, 0.6525529762216677, 0.652445350951093, 0.6523409504077264, 0.6518874731440687, 0.6517871035097125, 0.6516855246026532, 0.6515690313322557, 0.6510010762527058, 0.6508982880729434, 0.650797918438587, 0.6506967426224288, 0.6505959698971715, 0.6497446419141981, 0.6496434660980398, 0.6495249573731372, 0.6494233784660779, 0.6493226057408206, 0.6492222361064643, 0.649092440836333, 0.6481234103102591, 0.6480230406759028, 0.6479218648597446, 0.6478154488618728, 0.6475066812316845, 0.6474063115973283, 0.6473059419629721, 0.6472035568741107, 0.6464993570700128, 0.6463989874356566, 0.6462986178013004, 0.6461982481669442, 0.6460926383508745, 0.6456931752679547, 0.6455911932699944, 0.645490420544737, 0.6453860200013705, 0.6445496063817352, 0.6444456089292696, 0.6443452392949134, 0.6442412418424479, 0.6435789634920571, 0.6434781907667998, 0.6433766118597405, 0.6432653587710565, 0.6429223284142807, 0.6428215556890234, 0.6427211860546672, 0.642620816420311, 0.6425156096951423, 0.6419831266148829, 0.6418823538896257, 0.6417815811643683, 0.6416808084391111, 0.640958872635368, 0.6408585030010118, 0.6407581333666555, 0.64065413591419, 0.6405525570071307, 0.6399781524731643, 0.6398757673843029, 0.6397741884772435, 0.6396722064792831, 0.6395629688451042, 0.6388305526779344, 0.6387293768617761, 0.6386290072274199, 0.6385258159567564, 0.6384254463224002, 0.6378623283336625, 0.6377615556084053, 0.637660782883148, 0.6375604132487918, 0.6374519817964149, 0.6366308856310187, 0.6365305159966624, 0.6364257123623949, 0.6363213118190283, 0.6356086471060088, 0.6355070681989495, 0.6354066985645933, 0.635305119657534, 0.635194269659751, 0.6340805295002075, 0.6339801598658513, 0.6338797902314951, 0.6337753896881285, 0.6336653458721476, 0.6331352813372944, 0.633032493157532, 0.6329321235231757, 0.6328309477070174, 0.631813949363721, 0.6317135797293648, 0.6316128070041075, 0.6315059879153347, 0.6314048120991765, 0.6312838848288678, 0.6306889226589488, 0.6305853282973843, 0.6304849586630281, 0.6303845890286719, 0.6302801884853053, 0.6298964459475256, 0.6297960763131694, 0.6296957066788131, 0.6295953370444569, 0.6294780375922574, 0.6288729981498128, 0.6287718223336545, 0.6286714526992982, 0.628571083064942, 0.6281296985283151, 0.6280293288939589, 0.6279285561687016, 0.6278281865343454, 0.6277145149002552, 0.6271691329111628, 0.6270687632768066, 0.6269683936424503, 0.626868024008094, 0.6267624141920245, 0.6261025543870398, 0.6260021847526835, 0.6259018151183273, 0.6258014454839711, 0.6257006727587138, 0.6249404433193729, 0.6248400736850167, 0.6247393009597594, 0.6246389313254032, 0.6245357400547398, 0.6244317426022742, 0.6243172647863819, 0.6232825304434403, 0.6231817577181831, 0.6230805819020248, 0.6229757782677572, 0.6228721839061927, 0.6223687233708074, 0.622266741372847, 0.6221663717384908, 0.6220660021041345, 0.6219535397427474, 0.6213513219366099, 0.6212505492113527, 0.6211501795769964, 0.6210498099426401, 0.6209478279446798, 0.6208192419472516, 0.6199074503291238, 0.6198070806947675, 0.6197063079695102, 0.6196039228806488, 0.6190545099825462, 0.61895414034819, 0.6188537707138336, 0.6187534010794774, 0.6186530314451212, 0.6179762418222934, 0.6178754690970361, 0.6177750994626798, 0.6176711020102144, 0.6175610581942333, 0.6169802042058504, 0.6168798345714942, 0.616779464937138, 0.6166678087575529, 0.6165666329413946, 0.6164646509434343, 0.6163626689454739, 0.6162429509478683, 0.6154742565996058, 0.6153738869652495, 0.6152670678764768, 0.6151662951512196, 0.6150659255168633, 0.614965152791606, 0.6141368009899912, 0.614036431355635, 0.6139360617212788, 0.6138352889960215, 0.613247582462321, 0.6131451973734597, 0.6130407968300932, 0.6129392179230339, 0.6128259493798447, 0.6127231612000822, 0.6120572550315821, 0.6119564823063249, 0.6118536941265624, 0.6117525183104042, 0.6116509394033448, 0.6111551375950791, 0.6110547679607228, 0.6109531890536635, 0.6108528194193072, 0.6107484188759407, 0.6102840581579552, 0.6101804637963907, 0.6100772725257273, 0.6099748874368659, 0.6098624250754787, 0.6090909090909091, 0.6089905394565528, 0.6088897667312956, 0.6084765985577407, 0.6083758258324835, 0.6082750531072262, 0.6081714587456617, 0.6072870773088039, 0.6071867076744477, 0.6070855318582894, 0.6069819374967249, 0.606609481504174, 0.6065091118698177, 0.6064087422354615, 0.6062958767831734, 0.605791610065986, 0.6056908373407287, 0.6055900646154714, 0.6054892918902142, 0.6053647368017961, 0.6045392066364886, 0.6044364184567261, 0.6043340333678648, 0.6039591588299077, 0.6038579830137494, 0.6037555979248881, 0.6036552282905318, 0.6035536493834724, 0.6034423962947885, 0.6028244579435108, 0.6027240883091546, 0.6026217032202932, 0.602521333585937, 0.6024165299516694, 0.6016595252395368, 0.6015591556051805, 0.6014587859708243, 0.6013576101546659, 0.6012564343385077, 0.6011463905225267, 0.6004796781722246, 0.6003793085378684, 0.6002789389035121, 0.6001785692691559, 0.5991740667437914, 0.59907168165493, 0.5989696996569697, 0.5982457483987214, 0.598144572582563, 0.5980442029482068, 0.5979418178593454, 0.5978410451340882, 0.5972045646013633, 0.5970989547852936, 0.5969985851509374, 0.5968978124256801, 0.5967974427913239, 0.5964612649798656, 0.5963608953455094, 0.5962605257111532, 0.5961593498949949, 0.5955301249984885, 0.5954233059097157, 0.5953205177299533, 0.5952177295501908, 0.5951056702797047, 0.5944087261118255, 0.5943071472047662, 0.5942067775704098, 0.5941064079360536, 0.5934820201303596, 0.5933804412233002, 0.593279668498043, 0.5931764772273795, 0.5930628055932894, 0.5929446999592878, 0.591978491069521, 0.5918781214351648, 0.5917777518008086, 0.5912533305385698, 0.5911513485406094, 0.5910505758153521, 0.5909473845446886, 0.5908345190924005, 0.5902028756504879, 0.5901021029252307, 0.5900017332908745, 0.589900154383815, 0.5897965600222507, 0.5892842314870427, 0.5891834587617854, 0.589080267491122, 0.5889722391296461, 0.5882112035085032, 0.588110833874147, 0.5880092549670877, 0.5879080791509294, 0.587016038986952, 0.5869128477162885, 0.5868124780819323, 0.5867117053566749, 0.5865166093605769, 0.5864146273626165, 0.5863126453646562, 0.5862122757303, 0.5861098906414386, 0.5856854359226549, 0.5855850662882987, 0.5854842935630414, 0.5853839239286852, 0.5852666244764857, 0.5847958143040837, 0.5846954446697274, 0.5845942688535691, 0.5844906744920046, 0.5843201670408694, 0.5835639685105388, 0.5834619865125784, 0.5833612137873212, 0.5832552008803505, 0.5831516065187861, 0.5825304434403002, 0.5824288645332409, 0.5823284948988846, 0.5822281252645284, 0.582125740175667, 0.5817605398193346, 0.5816601701849784, 0.5815598005506222, 0.5814590278253648, 0.5813586581910086, 0.5812542576476422, 0.5806298698419481, 0.5805295002075919, 0.5804291305732355, 0.5803279547570772, 0.5797019545877791, 0.5795959416808084, 0.5794955720464522, 0.5793935900484918, 0.5792920111414325, 0.5785861989737305, 0.5784858293393743, 0.5783854597050181, 0.5782850900706619, 0.5781839142545036, 0.5780803198929391, 0.577317268817291, 0.5772168991829347, 0.5771165295485785, 0.5770157568233212, 0.5764566697435939, 0.5763534784729304, 0.5762422253842464, 0.5761418557498902, 0.5760366490247215, 0.5759262021178396, 0.5750140074088108, 0.5749132346835535, 0.5748128650491973, 0.5747104799603359, 0.5746101103259796, 0.5742723201509172, 0.5741650979712435, 0.5740631159732832, 0.5739627463389269, 0.5738591519773624, 0.5737483019795794, 0.573090054538199, 0.5729888787220406, 0.5728885090876844, 0.572786930180625, 0.5726740647283369, 0.5718122563819367, 0.5717118867475804, 0.5716111140223231, 0.5715099382061649, 0.5710862896691833, 0.5709859200348271, 0.5708827287641636, 0.5707823591298073, 0.5706779585864409, 0.5701837691417792, 0.5700833995074229, 0.5699830298730667, 0.5698822571478094, 0.5693143020682594, 0.5692139324339032, 0.5691119504359428, 0.5690107746197846, 0.5689104049854282, 0.5687927024423278, 0.567688233373508, 0.5675854451937457, 0.5674818508321812, 0.5673798688342208, 0.5672786930180626, 0.5666534990305664, 0.5665531293962102, 0.5664515504891509, 0.5659952515891858, 0.5658932695912255, 0.5657928999568693, 0.565692530322513, 0.5655905483245527, 0.5654805045085717, 0.5647505068868081, 0.5646497341615507, 0.5645493645271945, 0.5641446612625614, 0.5640426792646009, 0.5639419065393437, 0.5638415369049874, 0.5637339116344127, 0.5629148309235216, 0.5628144612891653, 0.5627140916548091, 0.5626129158386508, 0.5619530560336662, 0.5618522833084089, 0.5617507044013496, 0.5613754267724914, 0.561271832410927, 0.5611686411402635, 0.5610682715059073, 0.5609622585989367, 0.5602512062495213, 0.5601508366151651, 0.5600504669808088, 0.5599500973464526, 0.5591406908171862, 0.5590399180919289, 0.5589335020940572, 0.5588319231869979, 0.5581361882918217, 0.5580350124756633, 0.5579346428413071, 0.5578342732069509, 0.5577330973907926, 0.5566745806846902, 0.5565734048685319, 0.5564702135978684, 0.556367828509007, 0.5562581877839271, 0.555799470338556, 0.5556986976132988, 0.5555983279789425, 0.5554967490718832, 0.5553778372560796, 0.5546401809071964, 0.5545297340003144, 0.5544293643659581, 0.5538497196502783, 0.553747737652318, 0.5536465618361597, 0.5535413551109911, 0.5534276834769009, 0.5524167314971199, 0.5523163618627637, 0.5522159922284074, 0.5521156225940512, 0.5520112220506846, 0.5511046706142703, 0.5510022855254089, 0.5509019158910526, 0.5507918720750716, 0.5502867991760823, 0.5501856233599239, 0.5500844475437656, 0.5499828686367063, 0.5498708093662201, 0.549438695920317, 0.5493383262859608, 0.5492379566516045, 0.5491355715627431, 0.5486740324810648, 0.5485736628467086, 0.5484732932123523, 0.5483696988507878, 0.547831975588815, 0.5477316059544588, 0.5476312363201026, 0.5475119214133979, 0.5469834692421488, 0.5468830996077926, 0.5467827299734364, 0.546681957248179, 0.5465674794322868, 0.546238154166146, 0.5461365752590867, 0.5460358025338294, 0.5459346267176711, 0.5451034532797491, 0.5450030836453928, 0.5449006985565314, 0.5448003289221752, 0.5442360016607345, 0.5441344227536752, 0.544034053119319, 0.5439324742122597, 0.543826461305289, 0.5433310625879242, 0.543230692953568, 0.5431299202283106, 0.5430029465944866, 0.5418488973448402, 0.541748527710484, 0.5416477549852268, 0.5415453698963654, 0.5405723084612811, 0.5404646831907063, 0.5403639104654491, 0.5402635408310928, 0.5401611557422314, 0.5400410346537248, 0.5392054272158915, 0.5391046544906342, 0.5390022694017728, 0.5386193330457951, 0.5385189634114389, 0.5384185937770827, 0.5383174179609244, 0.5374789888867838, 0.5373786192524276, 0.5372782496180714, 0.5371778799837151, 0.5370771072584578, 0.5369747221695965, 0.5357251403764063, 0.5356231583784459, 0.5355223856531887, 0.5354183882007232, 0.5353107629301483, 0.5347883571224147, 0.5346879874880585, 0.5345872147628011, 0.5344852327648408, 0.534376801312464, 0.5338273884143613, 0.5337270187800051, 0.5336258429638467, 0.5332344416989475, 0.5331340720645913, 0.5330337024302351, 0.5324903358956479, 0.5323859353522813, 0.5322855657179251, 0.5321835837199647, 0.5317752526372223, 0.5316744799119649, 0.5315741102776087, 0.5314733375523514, 0.5313548288274489, 0.5305974210244152, 0.530482943208523, 0.5303813643014637, 0.5302745452126909, 0.5301733693965326, 0.5293853266850207, 0.5292845539597635, 0.5291841843254073, 0.5290826054183478, 0.528460233067159, 0.5283598634328027, 0.5282558659803372, 0.5281514654369707, 0.5273428650895063, 0.527242092364249, 0.5271417227298928, 0.5270397407319325, 0.5265697367413326, 0.5264685609251742, 0.526368191290818, 0.5262625814747484, 0.525717199485656, 0.5256132020331905, 0.5255128323988343, 0.525411656582676, 0.5245123607824801, 0.5244107818754207, 0.5243104122410644, 0.524206414788599, 0.523570337346775, 0.5234683553488148, 0.5233667764417553, 0.5232656006255971, 0.5231575722641213, 0.5227028857277605, 0.5226017099116022, 0.5225009371863449, 0.5223993582792855, 0.5222969731904241, 0.5217060419295155, 0.5216052692042582, 0.521504899569902, 0.5214025144810406, 0.5212993232103772, 0.5207019424950521, 0.5206015728606959, 0.5204999939536364, 0.520382694501437, 0.5202609610493263, 0.5192564585239617, 0.5191560888896055, 0.5190541068916451, 0.5184942136301157, 0.5183938439957595, 0.518290652725096, 0.5181882676362346, 0.5180870918200764, 0.517515105831516, 0.5174147361971598, 0.5173135603810015, 0.517208353655833, 0.5167564887557793, 0.5166516851215117, 0.5165505093053534, 0.5164465118528879, 0.5163437236731255, 0.5155568902343167, 0.5154565205999605, 0.5153557478747032, 0.5152448978769202, 0.5151348540609393, 0.5146442924343869, 0.5145439228000306, 0.5144415377111693, 0.514340361895011, 0.513758701724826, 0.5136559135450636, 0.5135527222744001, 0.5134519495491429, 0.5133479520966773, 0.5125865133846333, 0.5124861437502771, 0.5123857741159209, 0.5119081113982014, 0.5118073386729441, 0.5117069690385879, 0.5116061963133306, 0.5114965555882507, 0.5106258792420278, 0.5105234941531664, 0.5104231245188102, 0.510322754884454, 0.5102223852500978, 0.5101046827069973, 0.5093738789034316, 0.5092735092690752, 0.509172736543818, 0.5090711576367587, 0.5089570829117674, 0.5084358863767369, 0.5083347105605786, 0.5082339378353212, 0.5081307465646578, 0.5080263460212913, 0.5079009847510713, 0.5069924178601516, 0.5068912420439934, 0.506790872409637, 0.5062845902379446, 0.5061834144217863, 0.506081835514727, 0.5059814658803706, 0.5058778715188063, 0.5055384689801398, 0.5054356808003773, 0.505335311166021, 0.5052345384407638, 0.5047173728147435, 0.5046121660895748, 0.5045113933643176, 0.5041212013721215, 0.5040103513743385, 0.5039099817399821, 0.5037979224694961, 0.5032360137534615, 0.5031356441191053, 0.503034065212046, 0.5026079981296582, 0.502507628495302, 0.5024072588609457, 0.502300439772173, 0.5021944268652023, 0.5016716179665677, 0.5015700390595083, 0.501455561243616, 0.5013551916092598, 0.5009053421637113, 0.5008045694384541, 0.5007033936222958, 0.500594559079018, 0.5002233123591702, 0.5001229427248138, 0.5000185421814474, 0.49991776945619004, 0.4998153843673287, 0.4997101776421601, 0.4996065832805956, 0.49834128094226526, 0.49824091130790904, 0.4981405416735528, 0.4976870644098951, 0.49758669477553885, 0.4974851158684795, 0.49738313387051913, 0.496757536792122, 0.49665716715776576, 0.4965567975234095, 0.4964560247981522, 0.49635202734568673, 0.4956796717227702, 0.49557768972480987, 0.4954773200904536, 0.49537614427429527, 0.4949214577379345, 0.49481866955817205, 0.49471749374201374, 0.4946110777441421, 0.49410640793605365, 0.4940056352107964, 0.4939048624855391, 0.4938012681239746, 0.49336834849626937, 0.49326515722560593, 0.4931647875912497, 0.4930636117750914, 0.4929567926863187, 0.4921082863396525, 0.4920079167052962, 0.49190754707094, 0.4918071774365837, 0.4917068078022275, 0.49159152380453314, 0.49104372327003465, 0.49094335363567837, 0.49084298400132215, 0.4907422112760649, 0.49062974891467775, 0.49019642619607146, 0.4900956534708142, 0.4899876251093384, 0.48988564311137806, 0.4897836611134177, 0.4896659585703172, 0.48900005240181715, 0.48889887658565884, 0.4887972976785995, 0.48869088168072783, 0.48815275532785396, 0.48805117642079465, 0.4879504036955374, 0.487848018606676, 0.48773152533627856, 0.4872615213456787, 0.4871611517113224, 0.48705513880435175, 0.4869547691699955, 0.4868535933538372, 0.4863904419085548, 0.48629007227419857, 0.48618889645804025, 0.48608127118746547, 0.4854302793823035, 0.4853291035661452, 0.4852279277499869, 0.48512634884292755, 0.48501832048145177, 0.4842750208599541, 0.4841746512255979, 0.48407428159124166, 0.4836099208732561, 0.4835095512388999, 0.48340837542274157, 0.4833055872429792, 0.48253608671291465, 0.48243571707855837, 0.482333331989697, 0.4816807278209309, 0.48157592418666334, 0.481474748370505, 0.4813731694634457, 0.48127279982908944, 0.4804887880265879, 0.4803876122104296, 0.48028643639427127, 0.48017800494189444, 0.4797188844056223, 0.47961851477126605, 0.47920534659771125, 0.479104976963355, 0.47900420423809775, 0.47889093569490854, 0.47804202625734127, 0.47794165662298504, 0.4778408838977278, 0.47740554572461635, 0.4773047729993591, 0.47720440336500286, 0.4771024213670425, 0.4769972146418739, 0.4768895893712991, 0.47614588665890045, 0.4760451139336432, 0.47594474429928696, 0.4758419561195245, 0.47515992631498327, 0.47505955668062705, 0.47495676850086466, 0.4746758141428474, 0.4745754445084911, 0.4744750748741349, 0.47437188360347143, 0.47332021944268654, 0.4732182374447262, 0.4731178678103699, 0.4730154827215085, 0.4727655663628705, 0.47266519672851426, 0.472564827094158, 0.47245841109628633, 0.4720254914685811, 0.47192230019791764, 0.47181669038184804, 0.47171632074749176, 0.4710806463965689, 0.47098027676221266, 0.47086579894632036, 0.4703579044110237, 0.4702575347766675, 0.47015716514231126, 0.470056392417054, 0.4699447362374689, 0.46927197752365135, 0.4691712047983941, 0.4690647888005224, 0.468962806802562, 0.4685508479017103, 0.4684504782673541, 0.4683501086329978, 0.46824893281683955, 0.4681409044553637, 0.4675084548316491, 0.4674000233792723, 0.467299653744916, 0.4671952532015495, 0.467091658839985, 0.4656820499590863, 0.465580874142928, 0.4654805045085717, 0.46537811941971036, 0.4650189654268934, 0.46491819270163615, 0.4648174199763789, 0.4647166472511216, 0.4646154714349633, 0.4645118770733988, 0.46387096254076254, 0.4637705929064063, 0.4636641769085346, 0.4634255470951254, 0.4633251774607692, 0.46322480782641295, 0.46312363201025464, 0.4630224561940963, 0.46249037620473793, 0.4623892003885796, 0.4622888307542234, 0.462187251847164, 0.4620506040317152, 0.46121338423027775, 0.4611126115050205, 0.46101103259796117, 0.46049064224473263, 0.46039027261037635, 0.460288290612416, 0.4595482157181266, 0.4594470399019683, 0.45934667026761206, 0.45903508100111656, 0.45893390518495825, 0.458833132459701, 0.45825227847131805, 0.45815190883696183, 0.4580515392026056, 0.45794875102284316, 0.4573130766719203, 0.457212303946663, 0.45711153122140574, 0.45648230632489933, 0.456380324326939, 0.4562795516016817, 0.45617918196732543, 0.45548788107206056, 0.4553871083468033, 0.4552750490763172, 0.4551646021694352, 0.4547264423600166, 0.45462607272566036, 0.45452368763679896, 0.45442331800244273, 0.45432093291358133, 0.4533353756605652, 0.453235006026209, 0.45313100857374344, 0.4530306389393872, 0.4523304700442997, 0.4522296973190424, 0.45212932768468617, 0.45202895805032994, 0.45163030114921215, 0.45152993151485593, 0.45142956188049965, 0.45132274279172696, 0.4508732964370795, 0.4507709113482181, 0.4506705417138619, 0.4505689628068026, 0.4500751764530419, 0.44997319445508155, 0.4498728248207253, 0.4497724551863691, 0.44896022702079547, 0.44885905120463715, 0.44875747229757784, 0.44865105629970614, 0.4480988217652963, 0.44799845213094003, 0.4478968732238807, 0.44778803868060285, 0.4473228717808153, 0.44722250214645903, 0.44711890778489455, 0.44698951560566424, 0.4462716107109314, 0.44616277616765354, 0.4460595848969901, 0.4459555874445246, 0.44583828799232517, 0.4455093658170854, 0.44540577145552096, 0.4453054018211647, 0.44520422600500636, 0.445102244007046, 0.4444536707472902, 0.44435249493113194, 0.44425212529677566, 0.4441489340261122, 0.44351406585699144, 0.44341369622263516, 0.4433105049519717, 0.4421713700656635, 0.4420701942495052, 0.44196942152424795, 0.4412938411741232, 0.44119105299436073, 0.4410894740873014, 0.440986282816638, 0.440515472644236, 0.44040945973726536, 0.4403086870120081, 0.4402022710141364, 0.4394315612113688, 0.43933119157701256, 0.4392284033972501, 0.43912642139928976, 0.43902282703772527, 0.4384669646852062, 0.4383649826872458, 0.43826461305288955, 0.43782484087986684, 0.43772245579100544, 0.43762208615664916, 0.4375213134313919, 0.4366828843572514, 0.43658251472289517, 0.43648214508853894, 0.4359907772801844, 0.43589000455492716, 0.43578963492057093, 0.4356876529226106, 0.4353728389289069, 0.4352720662036496, 0.43516766566028303, 0.4347835200316023, 0.43468234421544405, 0.43458036221748364, 0.4344783802195233, 0.43397612895684107, 0.4338757593224848, 0.43377538968812857, 0.43367421387197025, 0.43322315515371873, 0.4331211731557584, 0.43301999733960006, 0.4329014886146975, 0.43239359407940087, 0.4322932244450446, 0.43219285481068836, 0.43209167899453005, 0.4315438784600315, 0.43144310573477423, 0.431342736100418, 0.4312395448297546, 0.4308521744738656, 0.4307514017486083, 0.43064659811434075, 0.4305401821164691, 0.4299323210377172, 0.42983195140336095, 0.4297307755872027, 0.4296304059528464, 0.429098325963488, 0.42899231305651736, 0.42888791251315084, 0.42838767670497374, 0.4282873070706175, 0.4281752478001314, 0.4280740719839731, 0.42797249307691376, 0.42705949218608286, 0.42695912255172663, 0.4268571405537663, 0.42661125510413855, 0.4265108854697823, 0.426410112744525, 0.4263073245647626, 0.4259376902085189, 0.4258320803924493, 0.425731307667192, 0.4256212638512111, 0.424913839319905, 0.4248134696855488, 0.4247126969602915, 0.42434346569494885, 0.4242370496970772, 0.4241366800627209, 0.4240282486103441, 0.42391699552166007, 0.4235594538924473, 0.42345908425809103, 0.42335831153283376, 0.422973762813252, 0.4228733931788958, 0.42277302354453955, 0.4226722508192823, 0.42221151791940603, 0.4221107451941487, 0.42200997246889144, 0.42150127175179275, 0.4214004990265355, 0.4212997263012782, 0.42097644739865286, 0.42087527158249455, 0.4207749019481383, 0.4206725168592769, 0.420216621050213, 0.4201081895978362, 0.42000781996347997, 0.4198933421475877, 0.41979297251323144, 0.4194580039744763, 0.41935763434012, 0.41925565234215967, 0.41883563162328735, 0.4187304248981188, 0.4186296521728615, 0.41852807326580216, 0.4184273005405449, 0.4179826912767098, 0.41788232164235356, 0.41778195200799734, 0.41754412837639016, 0.4174433556511329, 0.41734298601677666, 0.4172426163824204, 0.41672545075640005, 0.4166250811220438, 0.41652027748777626, 0.4158281704107093, 0.4157278007763531, 0.41562662496019476, 0.4155226275077293, 0.4150010278817976, 0.41490025515654033, 0.414798676249481, 0.4146958880697186, 0.41459551843536235, 0.41448265298307424, 0.4138683424499059, 0.4137675697246486, 0.4133104646428816, 0.41321009500852535, 0.4131089191923671, 0.4124518810236896, 0.4123515113893334, 0.4122503355731751, 0.4117803315825752, 0.41167955885731794, 0.41157918922296166, 0.4114711608614859, 0.4111208748684916, 0.41102050523413536, 0.4109201355997791, 0.410807673238392, 0.41010427961609625, 0.41000390998173997, 0.40990354034738374, 0.40950770508257317, 0.40940128908470147, 0.4092932607232257, 0.4091876509071561, 0.40853343437478584, 0.40843266164952857, 0.40831495910642807, 0.40795540202271013, 0.4078550323883539, 0.4077538565721956, 0.4076522776651363, 0.40719073858345795, 0.40708956276729963, 0.4069891931329434, 0.4068888234985872, 0.40623299460261286, 0.4061326249682566, 0.40602822442489006, 0.40571381352208735, 0.4056130407968301, 0.40551267116247386, 0.4054078675282063, 0.405306288621147, 0.40440658973005, 0.4043062200956938, 0.40420585046133756, 0.4041038684633772, 0.40398697210207873, 0.40323238593535227, 0.403131210119194, 0.40302963121213464, 0.40269345340067636, 0.40259308376632014, 0.40249029558655774, 0.4023846857704881, 0.4018348697814844, 0.401732484692623, 0.40163130887646475, 0.40135156379115056, 0.4012507910658933, 0.401150018340636, 0.40104924561537875, 0.400443399991132, 0.40034303035677576, 0.40024185454061745, 0.3998073225493081, 0.39970695291495184, 0.3996057770987935, 0.39950500437353625, 0.3989140731126276, 0.3988112849328652, 0.3987101091167069, 0.39820019912690513, 0.39809942640164786, 0.39799542894918233, 0.39789465622392506, 0.39757702059391414, 0.39747665095955786, 0.3973746689615975, 0.3972718807818351, 0.39687080533531116, 0.39677043570095494, 0.39666966297569767, 0.39656123152332085, 0.39629075752873033, 0.396189984803473, 0.3960839718965024, 0.3959763466259276, 0.3952874642760689, 0.39517580809648384, 0.39507342300762244, 0.39474530701418475, 0.39464493737982853, 0.3945445677454723, 0.3942301568426696, 0.3941297872083133, 0.39402699902855093, 0.39391816448527306, 0.39336794540536835, 0.3932675757710121, 0.3931672061366559, 0.39280643978023483, 0.39270566705497756, 0.3926048943297203, 0.3919091594345441, 0.39180878980018785, 0.3917080170749306, 0.3912775159926315, 0.39117553399467114, 0.3910751643603149, 0.39040563037370557, 0.3903048576484483, 0.39019562001426944, 0.38973730565979936, 0.389635323661839, 0.38894644131198025, 0.38884486240492094, 0.3887436865887626, 0.3886312242273755, 0.38811607405586035, 0.38801570442150407, 0.38791533478714785, 0.38781133733468237, 0.38718130625637387, 0.3870805335311166, 0.3869684742606305, 0.38686810462627425, 0.3867649133556108, 0.38616995118569186, 0.38606958155133564, 0.3859684057351773, 0.385866020646316, 0.3854040784737366, 0.38529806556676593, 0.3851932619324984, 0.3846760963064781, 0.38457492049031977, 0.38447455085596355, 0.3843616854036754, 0.38351841923872254, 0.3834168403316632, 0.38331364906099974, 0.3829831145221559, 0.38288274488779966, 0.3827823752534434, 0.3826787808918789, 0.3821600029022545, 0.38205640854069, 0.3819548296336307, 0.38185002599936313, 0.38118976310347746, 0.38108939346912124, 0.38098862074386397, 0.38051660129875886, 0.38041623166440264, 0.3803158620300464, 0.3802094460321747, 0.3798087736765518, 0.37970477622408627, 0.37960440658973005, 0.37949476586465014, 0.37904975350991404, 0.37894938387555777, 0.3788461926048943, 0.37874541987963706, 0.3781681937093634, 0.37806782407500716, 0.3779674544406509, 0.37786708480629466, 0.3769492468246514, 0.3768488771902952, 0.37674729828323583, 0.3766453162852755, 0.3762115904757682, 0.37611122084141196, 0.37601004502525365, 0.37590362902738195, 0.3750901915891053, 0.374989821954749, 0.3748894523203928, 0.3747826332316201, 0.3741610670622332, 0.3740602943369759, 0.37395710306631247, 0.3738438345231233, 0.3733742336234244, 0.3732730578072661, 0.3731726881729099, 0.3730606289024238, 0.37295784072266136, 0.372287097463349, 0.3721867278289927, 0.3720863581946365, 0.371982763833072, 0.37167278693018063, 0.37157120802312127, 0.371470435297864, 0.37136966257260673, 0.37078719622061973, 0.37068682658626345, 0.37058403840650106, 0.3701603898695195, 0.3700600202351632, 0.36995924750990594, 0.36951141351886263, 0.3694110438845064, 0.36930906188654605, 0.36874957171591766, 0.36864920208156143, 0.36854883244720515, 0.3682481266350375, 0.3681477570006812, 0.368047387366325, 0.3679353280958389, 0.3678204471890456, 0.3676954890097266, 0.3668614939354974, 0.36676112430114116, 0.3666607546667849, 0.3663580334001121, 0.3662572606748548, 0.36615689104049853, 0.3660553121334392, 0.36551920123507053, 0.3654180254189122, 0.36531322178464465, 0.3647847696133955, 0.3646843999790393, 0.364583627253782, 0.3642764719871978, 0.3641732807165344, 0.36407291108217815, 0.36355655163795986, 0.3634493294582861, 0.36334855673302885, 0.3631103300105207, 0.36300996037616445, 0.3629051567418969, 0.3623831540250642, 0.36228278439070793, 0.3621824147563517, 0.36207761112208414, 0.36149635404280017, 0.3613943720448398, 0.36129239004687946, 0.36089695787296994, 0.36079618514771267, 0.36069581551335644, 0.3605946396971981, 0.3601302789792126, 0.3600291031630543, 0.3599255088014898, 0.3594998448100031, 0.35939826590294377, 0.35929588081408237, 0.35919430190702306, 0.35862594373657203, 0.3585255741022158, 0.35842480137695854, 0.3579568128408637, 0.3578564432065075, 0.35775365502674505, 0.3570941983126615, 0.3569926194056022, 0.3568918466803449, 0.3567813997734629, 0.35614733778614416, 0.35604696815178793, 0.35594659851743166, 0.35584098870136205, 0.3549924823546958, 0.35489050035673547, 0.3547889214496761, 0.3541209998266709, 0.35401861473780954, 0.35391824510345327, 0.3536062527460568, 0.3535058831117005, 0.35340390111374015, 0.35330232220668084, 0.3527339640362298, 0.35263077276556637, 0.3525219382222885, 0.3524207624061302, 0.35179879314584234, 0.351696811147882, 0.3515924106045154, 0.3512469617023335, 0.3511453827952742, 0.3510434007973138, 0.35056170717058405, 0.3504609344453268, 0.3503601617200695, 0.349895801002084, 0.3497922066405195, 0.34969022464255917, 0.3491508890169822, 0.349050519382626, 0.3489501497482697, 0.34884373375039807, 0.34829069303418614, 0.3481903233998299, 0.34808874449277055, 0.3477368461361722, 0.34763647650181595, 0.3475357037765586, 0.34743493105130135, 0.34678716397334763, 0.34668639124809036, 0.3465856185228331, 0.34545978563625884, 0.34535941600190256, 0.34525783709484326, 0.3447072149240375, 0.34460603910787924, 0.34450244474631475, 0.34439723802114613, 0.3440126893015644, 0.34391231966720814, 0.34363942712721146, 0.34353825131105314, 0.3434378816766969, 0.3432839009525038, 0.34271070569124046, 0.3426091267841811, 0.3425067416953197, 0.3422245780645993, 0.34212380533934206, 0.3420202109777776, 0.3416271973492742, 0.3415256184422149, 0.34142484571695764, 0.3413244760826014, 0.3408564875465066, 0.3407536993667442, 0.34065212045968485, 0.3405477199163183, 0.34007408810760914, 0.3399737184732529, 0.33987173647529256, 0.3397645142956188, 0.33931668030457546, 0.3392155044884172, 0.33911271630865475, 0.3388265217689241, 0.33872615213456786, 0.3386229608639044, 0.33852218813864715, 0.33754106488554236, 0.3374406952511861, 0.3373379070714237, 0.33697270671509133, 0.33687233708073505, 0.3367715643554778, 0.3361798269127671, 0.33607905418750983, 0.3359786845531536, 0.3355062620171475, 0.3354058923827912, 0.3351209071157637, 0.3350197312996054, 0.3349121060290306, 0.33479077566782084, 0.3346670267612049, 0.3340555378643438, 0.3339547651390865, 0.3338535893229282, 0.332936154432186, 0.3328353817069287, 0.3327338027998694, 0.33263303007461215, 0.33252661407674045, 0.33242019807886874, 0.3320175102687407, 0.3319139159071762, 0.33180911227290866, 0.33170753336584935, 0.3309368235630817, 0.33083645392872546, 0.3307356812034682, 0.33045230830004474, 0.33034669848397513, 0.33024632884961885, 0.32965459140690817, 0.32955422177255195, 0.32945385213819567, 0.32897659251137723, 0.328876222877021, 0.3287698068791493, 0.3283445459785636, 0.3282441763442074, 0.32814300052804907, 0.327726607627286, 0.3276262379929298, 0.3275125663588396, 0.327158249456835, 0.32705787982247875, 0.32694985146100297, 0.3264298641986754, 0.32632868838251716, 0.32622630329365576, 0.32561803912400283, 0.3255176694896466, 0.3254172998552904, 0.32483684895780846, 0.32473647932345223, 0.32463570659819496, 0.3245321122366305, 0.3239383593394146, 0.3238379897050584, 0.32373479843439495, 0.3233264673516525, 0.3232260977172962, 0.3231245188102369, 0.32302253681227655, 0.32235945228008367, 0.3222566641003213, 0.322156294465965, 0.32204463828637997, 0.3216387257490437, 0.32153754993288536, 0.32122596066638986, 0.32112559103203364, 0.3210244152158753, 0.32092364249061806, 0.320410507773608, 0.3203101381392518, 0.3202097685048955, 0.3199719448732884, 0.3198711721480311, 0.3197683839682687, 0.3192822563416276, 0.3191818867072714, 0.31907909852750893, 0.31858893999185756, 0.31848857035750133, 0.318386588359541, 0.3182862187251847, 0.3178008972803457, 0.31769810910058327, 0.31759491782991983, 0.3174897111047512, 0.3173768456524631, 0.31638725749043667, 0.31627882603805985, 0.3161784564037036, 0.3156467795052462, 0.3155456036890879, 0.31544442787292964, 0.31534204278406824, 0.3152372391498007, 0.3144189646207116, 0.31431819189545435, 0.3142150006247909, 0.3139421080847942, 0.3138397229959328, 0.3136800989991253, 0.31355755936521246, 0.313440259913013, 0.312609086475091, 0.3125087168407348, 0.3124083472063785, 0.31189440630756643, 0.3117924243096061, 0.3112889637742207, 0.3111865786853593, 0.3110503339608115, 0.31094714269014806, 0.31059081033363833, 0.3104904406992821, 0.31039007106492583, 0.3098450921667345, 0.30973786998706077, 0.3096346787163973, 0.30913605527182436, 0.3090352825465671, 0.3089349129122108, 0.3088313185506464, 0.30842298746790386, 0.3083222147426466, 0.3082214420173893, 0.3078800240242177, 0.30777965438986143, 0.30767686621009904, 0.3071617160385839, 0.3070613464042276, 0.3069585582244652, 0.30651153041522394, 0.3064111607808677, 0.3063099849647094, 0.3055199267986924, 0.3054195571643361, 0.30531838134817785, 0.3048209671763079, 0.3047205975419517, 0.30430299536848554, 0.3042026257341293, 0.30409661282715866, 0.30363547683638137, 0.303532688656619, 0.30343070665865857, 0.3031811933909216, 0.30308082375656537, 0.30297884175860496, 0.3022206277737693, 0.302120258139413, 0.30201505141424445, 0.30191145705267997, 0.3014063841536905, 0.30130601451933425, 0.30101175816158304, 0.3009109854363258, 0.3008106158019695, 0.30070742453130606, 0.3002067856322279, 0.30010601290697064, 0.3000052401817134, 0.2999000334565448, 0.2995682896449978, 0.2994679200106416, 0.2993671472853843, 0.299265568378325, 0.2991623771076615, 0.29866899384480194, 0.2985686242104457, 0.29846825457608944, 0.2983582107601085, 0.29781726277092746, 0.29771608695476914, 0.29761450804770984, 0.29728195805436086, 0.2971815884200046, 0.29708121878564836, 0.2966966700660666, 0.29659630043171037, 0.29647174534329235, 0.2963713757089361, 0.2957639177210853, 0.295663548086729, 0.2955631784523728, 0.29546200263621447, 0.2953600206382541, 0.29524997682227316, 0.29462679828928223, 0.2945256224731239, 0.2943926024757843, 0.29427651229628793, 0.29417130557111937, 0.2936916273988947, 0.2935912577645385, 0.29348685722117196, 0.293182120499994, 0.29308134777473666, 0.29297976886767735, 0.2923888376067687, 0.2922872586997094, 0.2921836643381449, 0.2919534994336573, 0.29185312979930106, 0.2917527601649448, 0.29164432871256796, 0.29109249726905917, 0.2909921276347029, 0.2908913549094456, 0.29046045073624555, 0.2903596780109883, 0.290258905285731, 0.2901585356513747, 0.2898280011125309, 0.28972682529637256, 0.2896248432984122, 0.28952407057315493, 0.2890468109463365, 0.2889464413119803, 0.28864654168161463, 0.28854576895635736, 0.288443786958397, 0.2879129162417417, 0.2878125466073854, 0.2877121769730292, 0.2876045517024544, 0.2868729417170866, 0.28677216899182933, 0.28667139626657206, 0.2865524844507685, 0.2858982679183983, 0.285797898284042, 0.28569712555878474, 0.28558305083379354, 0.28501428957244146, 0.2849135168471842, 0.28481153484922384, 0.28435846067646714, 0.2842580910421109, 0.28415772140775464, 0.28405211159168503, 0.28341643724076215, 0.28331606760640593, 0.28321529488114866, 0.28311290979228726, 0.28254334234913314, 0.2824429727147769, 0.28234219998951965, 0.2820814001765538, 0.2819798212694945, 0.28187703308973205, 0.28146265564347417, 0.2813622860091179, 0.2808757552915758, 0.28077377329361547, 0.2806734036592592, 0.28056618147958545, 0.28002603967220646, 0.27992567003785024, 0.279645521861635, 0.27954112131826847, 0.27944075168391225, 0.2789634920570938, 0.2788623162409355, 0.27875186933405355, 0.2783056477066143, 0.2782052780722581, 0.27810410225609977, 0.27771068553669537, 0.27761031590233914, 0.2775095431770819, 0.2771435366389475, 0.2770431670045912, 0.2769423942793339, 0.27671142319304426, 0.27661105355868804, 0.27650745919712355, 0.2764054771991632, 0.2759382948448705, 0.2758375221196132, 0.27573271848534564, 0.2753896881285699, 0.2752893184942136, 0.27518572413264913, 0.2748959017748092, 0.274795532140453, 0.27469516250609677, 0.2745843125083138, 0.2738148119782492, 0.27371444234389297, 0.27349112998472286, 0.27339076035036664, 0.27328716598880215, 0.27318599017264383, 0.2726700338193266, 0.2725664394577621, 0.2724660698234059, 0.27236489400724756, 0.2718916652894394, 0.2717912956550832, 0.27169052292982593, 0.2712975093013225, 0.2711971396669663, 0.271095963850808, 0.27040627531914724, 0.27030268095758275, 0.27020150514142444, 0.27010073241616717, 0.2699898824183842, 0.2698834664205125, 0.2697826936952552, 0.2696702313338681, 0.2692433580696783, 0.26914258534442104, 0.26904221571006476, 0.26878988080602056, 0.2686891080807633, 0.26832471390623297, 0.2682235380900747, 0.26812074991031226, 0.2677055662822523, 0.267604793556995, 0.26750402083173774, 0.26739921719747023, 0.2670215210232059, 0.26692074829794865, 0.26681916939088934, 0.2667103348476115, 0.26625806685665687, 0.2661576972223006, 0.2660569244970433, 0.2659505084991716, 0.26557926177932384, 0.2654788921449676, 0.26537529778340313, 0.26526888178553143, 0.2649206112470423, 0.2648166137945768, 0.2647154379784185, 0.26460620034423965, 0.26417811780734674, 0.2640777481729905, 0.26397334762962393, 0.26373753945252193, 0.2636359605454626, 0.2635347847293043, 0.26342756254963057, 0.26293982255938536, 0.26283945292502914, 0.26273706783616774, 0.26209333166722426, 0.261992558941967, 0.2616749233119561, 0.2615741505866988, 0.2614697500433323, 0.2613593031364503, 0.26047089079058217, 0.26037052115622594, 0.25997387970961333, 0.25985899880282004, 0.25975822607756277, 0.2596562440796024, 0.259553858990741, 0.25875815755210957, 0.25865778791775335, 0.25803864029377266, 0.2579382706594164, 0.2576262783020199, 0.2575251024858616, 0.2574243297606043, 0.25731831685363366, 0.25665442613963874, 0.2565540565052825, 0.25645207450732216, 0.2561021916052289, 0.2560018219708727, 0.25590104924561535, 0.2556724967047319, 0.25557212707037563, 0.2554705481633163, 0.2553455899839973, 0.254800611085806, 0.2546998383605487, 0.2545188505459866, 0.25441807782072934, 0.2543169020045711, 0.2538997029220059, 0.25379893019674865, 0.2535582849288343, 0.25345630293087396, 0.2530890871200364, 0.252985895849373, 0.2528831076696106, 0.2524074604063962, 0.25230628459023796, 0.25201928386870526, 0.2519177049616459, 0.25180040550944643, 0.2514424607893326, 0.2513416880640753, 0.251240109157016, 0.25100188243450783, 0.25090151280015155, 0.25080033698399323, 0.25068545607719994, 0.2503895873558446, 0.25028881463058733, 0.250186832632627, 0.2497785015498845, 0.24967813191552826, 0.2495761499175679, 0.24946005973807153, 0.24935928701281426, 0.2492492431968333, 0.24871393848026668, 0.24861356884591043, 0.2482403066715575, 0.24813993703720125, 0.24803876122104296, 0.2479339575867754, 0.24731279450828955, 0.24721040941942818, 0.24710600887606163, 0.2468810841532874, 0.24677950524622808, 0.2466783294300698, 0.24656667325048473, 0.24615229580422682, 0.24605192616987057, 0.24593261126316596, 0.24539448491029212, 0.24529411527593586, 0.24518931164166832, 0.24489062128400577, 0.24479025164964952, 0.24468988201529326, 0.2442440634787551, 0.24414369384439885, 0.24404251802824053, 0.24342740131327015, 0.24332703167891392, 0.2432258558627556, 0.24312387386479525, 0.24249908296820016, 0.2423971009702398, 0.24228665406335784, 0.2418541375265536, 0.24175376789219738, 0.24142847353506688, 0.24132810390071066, 0.24122652499365133, 0.2408399608195644, 0.24073636645799995, 0.24063559373274268, 0.24014341974258616, 0.2400426470173289, 0.2399406650193685, 0.2395383803001415, 0.23943801066578524, 0.2393364317587259, 0.23878984049693047, 0.23868947086257422, 0.23858910122821797, 0.23835571159652214, 0.23825453578036382, 0.2381541661460076, 0.23782403469806476, 0.2377176187001931, 0.2374519817964149, 0.23735040288935558, 0.23724882398229624, 0.23687798035334948, 0.23677761071899325, 0.23635476836381372, 0.23625278636585337, 0.23615161054969505, 0.23591580237259305, 0.23581502964733578, 0.23571385383117746, 0.23561227492411813, 0.23513743384270586, 0.23503504875384448, 0.23491734621074398, 0.234640422761737, 0.23454005312738074, 0.23443968349302452, 0.23400958550162648, 0.23390921586727023, 0.23380804005111192, 0.23368670968990218, 0.23333158660609554, 0.23323081388083827, 0.23304055497555254, 0.2329401853411963, 0.23283981570684004, 0.23273783370887968, 0.23229120899053946, 0.23218882390167805, 0.23207797390389506, 0.2318167710000282, 0.23171640136567198, 0.23138909155403636, 0.2312887219196801, 0.2311875461035218, 0.23108516101466042, 0.23062402502388313, 0.2305236553895269, 0.23036201593821423, 0.23026164630385798, 0.2301608735786007, 0.22961992558941968, 0.22951955595506343, 0.2289439421483939, 0.22884236324133456, 0.2287323194253536, 0.22833285634243378, 0.22823248670807753, 0.22812123361939352, 0.22786527089724004, 0.2277649012628838, 0.22762059472031537, 0.22751941890415708, 0.22741743690619673, 0.2270248263685944, 0.22692445673423814, 0.2265124978333864, 0.22641212819903017, 0.22603201347935972, 0.2259316438450035, 0.2255426611255104, 0.22543906676394593, 0.2251891504053079, 0.22508878077095165, 0.22498357404578306, 0.22452284114590682, 0.22442206842064955, 0.22420077151598458, 0.22410040188162833, 0.22399680752006385, 0.22366183898130867, 0.22356146934695242, 0.22345182862187252, 0.2230789695384206, 0.22297537517685614, 0.2226633828194596, 0.22256301318510338, 0.2224497446419142, 0.22234131318953737, 0.2219358037431021, 0.22183503101784482, 0.22173103356537932, 0.22140735157185296, 0.22130254793758541, 0.22119371339430755, 0.22088897667312957, 0.22078497922066406, 0.22067936940459443, 0.22030731650294458, 0.22020694686858833, 0.2201065772342321, 0.21955192415441607, 0.21945155452005982, 0.21934675088579225, 0.21893197034863332, 0.21883160071427707, 0.2184647879943406, 0.21836361217818231, 0.21801413236699008, 0.2179133596417328, 0.21781258691647554, 0.21771141110031722, 0.21731799438091284, 0.2172176247465566, 0.2171164489303983, 0.2166537005760169, 0.21655333094166065, 0.21644933348919515, 0.21616394513126655, 0.21606156004240518, 0.21575682332122717, 0.21565363205056373, 0.21555285932530646, 0.21534365514767234, 0.21524247933151405, 0.2151421096971578, 0.21504133697190053, 0.21458020098112326, 0.21447902516496495, 0.2143786555306087, 0.21427828589625247, 0.2139199380852376, 0.21381956845088135, 0.21346081754896545, 0.21336044791460923, 0.21325967518935196, 0.21315567773688646, 0.2127171148365668, 0.21261513283860645, 0.21240351011556616, 0.2123031404812099, 0.2121838255745053, 0.21183757049052132, 0.21173437921985788, 0.21163320340369957, 0.21121640741203548, 0.21111603777767923, 0.2107842939661323, 0.21068352124087503, 0.21015063506971457, 0.21005026543535832, 0.20978019453166882, 0.2096798248973126, 0.20957905217205533, 0.20936742944901504, 0.2092670598146588, 0.20916467472579742, 0.20875473127945082, 0.20865436164509457, 0.20834720637851042, 0.20824683674415417, 0.20814445165529277, 0.2079158991144093, 0.20781552948005305, 0.20770064857325976, 0.20741526021533116, 0.20731247203556874, 0.20681908877270913, 0.20671871913835288, 0.20642285041699754, 0.2063224807826413, 0.206221304966483, 0.20594115679026778, 0.2058403840650105, 0.20561384697863216, 0.2055134773442759, 0.20510272771612725, 0.20500155189996896, 0.2046153908167831, 0.20451461809152582, 0.20434088591318228, 0.20424051627882603, 0.20398011955676124, 0.20387854064970193, 0.2037745431972364, 0.20345529520362138, 0.203353313205661, 0.20325294357130477, 0.2029582841226525, 0.2028571083064942, 0.2027547232176328, 0.2024092743154509, 0.2023068892265895, 0.20220490722862913, 0.20167927669368718, 0.20157890705933096, 0.2014785374249747, 0.20137534615431127, 0.20102465707041595, 0.20092186889065353, 0.20052966144395223, 0.20042848562779392, 0.20014067872445915, 0.2000403090901029, 0.19993953636484563, 0.19955780928157107, 0.19945743964721485, 0.19935465146745243, 0.1990075902016664, 0.1989068174764091, 0.1985214625750253, 0.198420286758867, 0.19831951403360973, 0.1982098733085298, 0.1979160200416796, 0.19773946622702887, 0.19763909659267262, 0.19753751768561328, 0.1970929084217782, 0.1969917326056199, 0.19630526880116736, 0.1962044960759101, 0.19584534208309315, 0.19574497244873693, 0.19535478045654076, 0.1952527984585804, 0.19495934828263123, 0.19485857555737393, 0.19475780283211666, 0.19465219301604705, 0.19394960557555335, 0.1938492359411971, 0.19345944703990198, 0.19335827122374366, 0.19325709540758537, 0.1928419117795254, 0.19273992978156504, 0.19238561287956046, 0.1922848401543032, 0.19185635452650926, 0.19175598489215304, 0.1912803376289387, 0.19117674326737422, 0.19092602072693413, 0.19082524800167686, 0.1907232660037165, 0.19012386983388624, 0.19002350019953, 0.1896800667518532, 0.1895788909356949, 0.1893503383948114, 0.18924996876045516, 0.1891439558534845, 0.18860502331880863, 0.188499413502739, 0.18839904386838277, 0.18829665877952137, 0.18797337987689605, 0.18768960388257155, 0.18758721879371018, 0.1874211453424862, 0.18731996952632787, 0.18721959989197165, 0.1866673653575618, 0.18656699572320554, 0.18622759318453905, 0.18612641736838073, 0.18601838900690496, 0.18566326592309831, 0.18556289628874206, 0.1854552710181673, 0.18476034230479316, 0.1846599726704369, 0.18441771503891843, 0.1843161361318591, 0.1842121386793936, 0.18373326668897103, 0.1836304785092086, 0.18348012560312477, 0.18337894978696645, 0.18327858015261023, 0.18257518653031446, 0.18247360762325512, 0.1823708194434927, 0.18226762817282927, 0.18187662999883103, 0.1817762603644748, 0.18152715018763882, 0.18142637746238155, 0.18123813401160097, 0.18113695819544265, 0.1810365885610864, 0.180933800381324, 0.1806871087498942, 0.18058552984283485, 0.18046500566342716, 0.17999621094553034, 0.1798958413111741, 0.17970517931498733, 0.17960480968063108, 0.1792488804150224, 0.1791477045988641, 0.1788917418767106, 0.17877605478811526, 0.17867286351745182, 0.17829919825219787, 0.17819842552694057, 0.17799043062200956, 0.17789006098765334, 0.17771310408210156, 0.1776127344477453, 0.17751155863158702, 0.17718948900166476, 0.17708791009460542, 0.1767589879193657, 0.1766509595578899, 0.17654776828722646, 0.17611122084141195, 0.1760108512070557, 0.17577625230265678, 0.17567507648649847, 0.17519821995058105, 0.17509785031622482, 0.17499465904556136, 0.174449277056469, 0.17434890742211276, 0.17410342506338605, 0.17400265233812878, 0.17390147652197047, 0.1738007037967132, 0.17336335016909662, 0.1732629805347404, 0.17279257345323945, 0.1726853512735657, 0.17226855528190163, 0.17216818564754538, 0.1716002305679954, 0.17149986093363914, 0.17128541657429167, 0.17117617894011278, 0.17098148603491573, 0.1708811164005595, 0.17068682658626347, 0.17058524767920413, 0.17048165331763965, 0.17037604350157004, 0.17027527077631277, 0.16999673496370166, 0.1698959622384444, 0.16979559260408814, 0.16952310315499247, 0.1694223304297352, 0.16912243079936956, 0.1690220611650133, 0.16803045754848175, 0.1679300879141255, 0.16764228101079073, 0.16754029901283038, 0.1671553472023476, 0.16705457447709032, 0.166759108846636, 0.1666579330304777, 0.1660468472245176, 0.16594647759016135, 0.1656893055953048, 0.16558772668824548, 0.1652668663310263, 0.16516448124216493, 0.16506088688060044, 0.16440707343913125, 0.1642301165335795, 0.1641277314447181, 0.16400519181080525, 0.16353276927479915, 0.16343159345864086, 0.16288580837864747, 0.1627838263806871, 0.16247384947779575, 0.1623734798434395, 0.16193532003402086, 0.1618345473087636, 0.16173216221990222, 0.16153464767839795, 0.1614314564077345, 0.16133108677337826, 0.16091066296360493, 0.16081029332924868, 0.16070992369489243, 0.16045799188174925, 0.1603560098837889, 0.1601484180697589, 0.16004764534450164, 0.15993760152852068, 0.1596441513525715, 0.1595437817182153, 0.15937730517609025, 0.15927693554173403, 0.1590774055457246, 0.15897260191145704, 0.1588319231869979, 0.1587307473708396, 0.15846793210336863, 0.15836595010540827, 0.1580930575654116, 0.15799026938564917, 0.15778227448071816, 0.1576819048463619, 0.15731831685363365, 0.15721714103747536, 0.15709782613077075, 0.15699705340551348, 0.15689668377115723, 0.15679591104589996, 0.1563654099636009, 0.15626504032924465, 0.15611226887775462, 0.15601189924339837, 0.15547981925403997, 0.1553790465287827, 0.1552335307135112, 0.15513316107915495, 0.15489896526565705, 0.15479778944949876, 0.15469661363334045, 0.15458132963564614, 0.15413107709919663, 0.15403030437393936, 0.15373121092537578, 0.15362963201831645, 0.1533434374785858, 0.15323460293530794, 0.1530221740304656, 0.15269163949162176, 0.1525912698572655, 0.15234780295304395, 0.1522474333186877, 0.15208982477638533, 0.15198179641490953, 0.1518802175078502, 0.1514799482431283, 0.15137917551787103, 0.1512082649758347, 0.15110628297787435, 0.15070359516774628, 0.15060161316978593, 0.1504891508083988, 0.1500884784527759, 0.14998810881841965, 0.14975794391393202, 0.1496575742795758, 0.14937944155786573, 0.1492782657417074, 0.14902794629216834, 0.14892596429420799, 0.14870668284404817, 0.14859986375527545, 0.1484632159398266, 0.14836284630547034, 0.14815082049152906, 0.14804964467537074, 0.14790291958739615, 0.14780134068033682, 0.14761591886586345, 0.14734746032577806, 0.1472466876005208, 0.14686858833535552, 0.14676781561009825, 0.14666663979393993, 0.1465126590697468, 0.14641228943539059, 0.14615874525864328, 0.14595881217173284, 0.1458584425373766, 0.1455674109068336, 0.14546704127247737, 0.1452945183668369, 0.14519092400527242, 0.144963177646191, 0.14471567983295913, 0.1446141009258998, 0.14437385874888647, 0.14427348911453022, 0.14394497003019152, 0.14376357912472842, 0.14366280639947115, 0.14339152622307857, 0.14329115658872232, 0.14307913077478102, 0.14291870059617146, 0.14281792787091416, 0.14234147442589778, 0.14224070170064051, 0.1419827235239819, 0.14188114461692256, 0.14164090243990923, 0.14131963899178904, 0.1412192693574328, 0.14088792863678687, 0.14078755900243065, 0.14068275536816308, 0.14034698064760584, 0.14008094065292664, 0.1399805710185704, 0.1396468117525183, 0.1395428143000528, 0.13929571957772197, 0.13919454376156368, 0.13897647158410692, 0.13887569885884965, 0.13868624613536598, 0.13858426413740563, 0.1382763026890194, 0.13817593305466316, 0.13785587887924605, 0.1373274267079969, 0.1371428110753256, 0.13691587089804622, 0.13681469508188793, 0.13653857781468298, 0.13643820818032676, 0.1363281643643458, 0.13613508382275286, 0.13603471418839663, 0.13579205346597711, 0.13568845910441263, 0.13551029292615777, 0.13540992329180154, 0.13508422584377003, 0.1348468053030639, 0.13474603257780662, 0.1343312520406477, 0.13423088240629144, 0.13392614568511346, 0.1338257760507572, 0.13352184551138127, 0.13341825114981679, 0.13326265806201956, 0.13315825751865304, 0.13293978225029526, 0.132839412615939, 0.13273783370887968, 0.13247018135059638, 0.13236295917092264, 0.13203645554108906, 0.13193487663402975, 0.13170189009323494, 0.13160152045887868, 0.1312302737390309, 0.13112305155935716, 0.13097310174417434, 0.1308727321098181, 0.1306594970231737, 0.13055872429791643, 0.13036000048370908, 0.13025801848574872, 0.12992990249231104, 0.1298295328579548, 0.12949456431919962, 0.1293236537771633, 0.12922207487010395, 0.12907817141843658, 0.12897377087507003, 0.12887340124071378, 0.12864807342703855, 0.12854689761088023, 0.12835825106919863, 0.12825586598033722, 0.12810228834704515, 0.1279882136220539, 0.12764397399257507, 0.12754360435821882, 0.12744000999665434, 0.12733923727139707, 0.12719089981981838, 0.12708690236735287, 0.1269421927338834, 0.12683980764502203, 0.126562078014213, 0.12646049910715365, 0.1263585171091933, 0.12610456984154497, 0.12595462002636215, 0.12585062257389665, 0.12540157931015022, 0.125301209675794, 0.12462321078026306, 0.12442489005695674, 0.12431686169548095, 0.12416570260759503, 0.12406049588242644, 0.12390208115832202, 0.1237992929785596, 0.12369005534438071, 0.12332324262444423, 0.12322126062648388, 0.1227186062729006, 0.12260695009331554, 0.12250617736805827, 0.12240580773370202, 0.12216516246578767, 0.12197006646968958, 0.12180721774567382, 0.12170684811131759, 0.1213537404820161, 0.12125337084765986, 0.12108931285094102, 0.1209063095818738, 0.1207898163114764, 0.12058020904294127, 0.12036536159269277, 0.12017349032380292, 0.12006989596223844, 0.11987479996614037, 0.1196051321533519, 0.11940116815743118, 0.11929999234127288, 0.11919921961601561, 0.11899001543838152, 0.11883966253229766, 0.11866230253584485, 0.11855991744698346, 0.11828984654329398, 0.11818746145443258, 0.1180504105480827, 0.1179492347319244, 0.11784886509756816, 0.11774849546321191, 0.11754493455819222, 0.11744456492383597, 0.1172619647456698, 0.1171567580205012, 0.11691570966168581, 0.11677382166452356, 0.11661984094033045, 0.11642756658053957, 0.11625544676580016, 0.11603495604293725, 0.11593297404497688, 0.1158209147744908, 0.11572014204923352, 0.11556535514323835, 0.11540452187372774, 0.11530173369396532, 0.11514251278805883, 0.11504214315370259, 0.11494096733754429, 0.11478335879524192, 0.11462252552573131, 0.11439679462115501, 0.11427143335093497, 0.11411261553592951, 0.11401224590157326, 0.11377280990636199, 0.11364865790884503, 0.11349346791194882, 0.1133906797321864, 0.11326894628007562, 0.11316494882761012, 0.11297589919502747, 0.1127795939262263, 0.112678418110068, 0.11246357065981949, 0.11236158866185914, 0.11217898848369295, 0.1120229923049947, 0.11188150739873348, 0.11177992849167416, 0.11157435213214932, 0.11147277322508999, 0.1113413655913545, 0.11116521486760479, 0.11106121741513929, 0.1109491581446532, 0.11067989342276577, 0.11052147869866133, 0.11041989979160201, 0.11029534470318401, 0.11019457197792674, 0.11004059125373362, 0.1097838223497781, 0.10968184035181774, 0.1095814707174615, 0.1094097539936231, 0.10930777199566274, 0.10919168181616637, 0.10909090909090909, 0.10899053945655285, 0.1088901698221966, 0.10869789546240573, 0.10859631655534639, 0.1084439481947574, 0.10833753219688572, 0.10798684311299041, 0.1074116323972219, 0.10730441021754816, 0.10705771858611836, 0.10681667022730296, 0.10659255168633078, 0.10648573259755807, 0.10610440860518455, 0.10585932933735887, 0.10571945679470178, 0.10561666861493936, 0.10550178770814607, 0.1053611089836869, 0.1052571115312214, 0.1048245949944172, 0.10467666063373951, 0.10457467863577916, 0.1044743090014229, 0.10437353627616563, 0.10411313955410084, 0.1040127699197446, 0.10388176537691014, 0.10378058956075184, 0.10337588629611864, 0.1031703099365938, 0.10297037684968337, 0.10281478376188614, 0.10264024540174055, 0.1025370541310771, 0.10231132322650081, 0.10219765159241061, 0.10204770177722779, 0.10194733214287154, 0.10184615632671323, 0.101745786692357, 0.101621231603939, 0.10151763724237453, 0.10141726760801828, 0.10125159724769532, 0.10115122761333908, 0.1010169983432964, 0.10065058871426096, 0.10047040708150094, 0.1003643941745303, 0.10002982872667615, 0.09992220345610138, 0.09977265673181959, 0.09967228709746336, 0.0995622432814824, 0.09942761092053869, 0.09932562892257833, 0.0990370158374415, 0.09893503383948114, 0.09880201384214155, 0.09866778457209885, 0.09854484184728499, 0.09835297057839514, 0.09817964149095262, 0.09807927185659639, 0.09783338640696863, 0.09773261368171136, 0.09751051059524433, 0.09741014096088808, 0.09728195805436084, 0.09697077187876638, 0.09686677442630087, 0.09676640479194464, 0.09666401970308325, 0.09655437897800333, 0.09645400934364709, 0.0963101058919797, 0.09613637371363616, 0.09603560098837889, 0.09593442517222059, 0.09582679990164582, 0.09560953390599114, 0.0955091642716349, 0.09540758536457557, 0.09526690664011642, 0.09516371536945296, 0.09495692973722504, 0.0948565601028688, 0.09475457810490844, 0.09453973065465993, 0.09441477247534091, 0.09425353611492927, 0.09415155411696892, 0.09405118448261267, 0.09382505048713535, 0.09365373685419799, 0.09355296412894072, 0.09344977285827727, 0.09332723322436443, 0.09322605740820612, 0.09312568777384989, 0.09264600960162526, 0.09243761160579322, 0.0922433217914972, 0.09213287488461523, 0.09203250525025898, 0.09185917616281648, 0.09175880652846023, 0.09162094944030828, 0.09151977362414998, 0.0914173885352886, 0.09118198344908761, 0.09108161381473136, 0.090938113453965, 0.09077808636625645, 0.09064264782351068, 0.09041046746451792, 0.09030969473926065, 0.09004405783548249, 0.08991829347436141, 0.08980865274928149, 0.0896716018429316, 0.08957123220857535, 0.089427731847809, 0.08930922312290644, 0.0892088534885502, 0.08906212840057562, 0.08888839622223207, 0.08878560804246965, 0.08861792222764156, 0.08851755259328531, 0.08841718295892907, 0.08825433423491331, 0.0880781835111636, 0.08797741078590633, 0.08787421951524288, 0.08777344678998561, 0.08766461224670775, 0.08743646279672529, 0.0873284344352495, 0.08722685552819016, 0.08711882716671436, 0.08686729844447222, 0.08676692881011597, 0.08662786244926093, 0.08643397572586595, 0.08620864791219068, 0.08609860409620973, 0.0859748551895938, 0.08581523119278628, 0.08571445846752901, 0.08560280228794395, 0.08539843520112221, 0.08529806556676596, 0.08509893866165759, 0.08492560957421508, 0.08472285485099745, 0.08458177303563727, 0.08442053667522563, 0.08423068086084093, 0.0840210735923058, 0.08389571232208576, 0.08377317268817291, 0.08367280305381666, 0.08357243341946043, 0.083469645239698, 0.08331324597009872, 0.08310484797426668, 0.08300367215810837, 0.08287145834257083, 0.08265016143790586, 0.08248973125929629, 0.08238936162494004, 0.08227286835454263, 0.08214831326612465, 0.08204270345005502, 0.08194193072479775, 0.08184115799954048, 0.0817403852742832, 0.08161784564037036, 0.08151505746060794, 0.0813953394630023, 0.08128247401071416, 0.0811764611037435, 0.0810752852875852, 0.08092856019961062, 0.08082657820165025, 0.08070726329494564, 0.08045331602729731, 0.08031384657554125, 0.0801941285779356, 0.0800929527617773, 0.07996154512804182, 0.07983215294881149, 0.07970719476949246, 0.07959352313540226, 0.07947702986500486, 0.07933232023153541, 0.07923154750627814, 0.07913077478102087, 0.07902959896486257, 0.0788719904225602, 0.07877121769730291, 0.07867004188114461, 0.07855113006534103, 0.07841085443178292, 0.07830161679760403, 0.0781141795286255, 0.07801380989426926, 0.07787917753332554, 0.0777788078989693, 0.07767843826461306, 0.07757444081214755, 0.07746036608715631, 0.07735959336189904, 0.07719472918337815, 0.07705203500441385, 0.07693191391590717, 0.07679244446415111, 0.07667071101204033, 0.07653769101470073, 0.07635388156383147, 0.07623658211163199, 0.07597860393497338, 0.0758778312097161, 0.07577746157535986, 0.07567588266830053, 0.07553802558014858, 0.07543765594579234, 0.07533728631143609, 0.07517443758742035, 0.07503738668107045, 0.07489590177480923, 0.07475320759584494, 0.07462260614391152, 0.0743827670577992, 0.07428078505983884, 0.07406029433697593, 0.07393977015756824, 0.07381279652374408, 0.07358908107367293, 0.07348871143931668, 0.07333593998782666, 0.0732355703534704, 0.07312068944667711, 0.07301709508511264, 0.07274783036322521, 0.07263939891084839, 0.07253902927649214, 0.07231652309912408, 0.07218350310178448, 0.07208232728562618, 0.07197228346964524, 0.07181991510905625, 0.07171148365667941, 0.07161030784052111, 0.07147728784318151, 0.07137691820882527, 0.07127654857446902, 0.0711749696674097, 0.07107460003305345, 0.07088232567326258, 0.07075696440304254, 0.0705751704066784, 0.07040143822833488, 0.07029905313947349, 0.07019787732331519, 0.070056795507955, 0.06995521660089567, 0.06985484696653943, 0.06975447733218318, 0.06936751006719526, 0.06920063043416921, 0.06909542370900061, 0.06887170825892946, 0.06875763353393824, 0.06860728062785439, 0.06843475772221394, 0.06833438808785769, 0.06820983299943971, 0.06809172736543818, 0.06792968482322448, 0.0678204471890456, 0.06763542846547325, 0.06753465574021597, 0.06743347992405767, 0.06729602592680675, 0.06710052683980765, 0.06699532011463905, 0.0668893072076684, 0.06676636448285453, 0.06659948484982849, 0.06642414030788082, 0.06632336758262355, 0.06622299794826732, 0.06610650467786991, 0.06592511377240681, 0.06574291668514166, 0.06564254705078543, 0.06554217741642918, 0.06535151542024242, 0.06525114578588617, 0.06515077615152993, 0.06505040651717368, 0.06484644252125296, 0.06470777925129896, 0.06457354998125628, 0.064472777255999, 0.06432685834982647, 0.06420310944321053, 0.06410233671795326, 0.06395359617547353, 0.06383307199606583, 0.06372262508918386, 0.06362144927302556, 0.06352107963866932, 0.06342030691341205, 0.06331872800635271, 0.06315386382783181, 0.06303817673923647, 0.06293498546857301, 0.06279067892600461, 0.0626588682013681, 0.0625399563855645, 0.06237428602524155, 0.06224650620961533, 0.06214613657525909, 0.06204536385000181, 0.061932901488614696, 0.06179826912767098, 0.06166283058492521, 0.06156246095056896, 0.06146209131621272, 0.06135406295473692, 0.0612262831391107, 0.061125510413853425, 0.06099289350741486, 0.060865516782689665, 0.060736930785261385, 0.060607135515130015, 0.06050676588077377, 0.060406396246417526, 0.06030602661206129, 0.06020525388680401, 0.06010488425244777, 0.060004514618091524, 0.05990414498373528, 0.05977757444081215, 0.05967720480645591, 0.05949258917378458, 0.05939221953942834, 0.05929144681417106, 0.05909756009077607, 0.05895083500280148, 0.05879806355131146, 0.05861062628233293, 0.05843770028579145, 0.058337330651435204, 0.05823696101707896, 0.05813578520092066, 0.058022516657731484, 0.05792214702337524, 0.057815327934602534, 0.05771455520934526, 0.057613379393186955, 0.0575113973952266, 0.05740699685186006, 0.057306224126602794, 0.05720545140134552, 0.05710508176698927, 0.05700108431452377, 0.05689829613476135, 0.05677857813715571, 0.05667699923009638, 0.05657542032303705, 0.056475050688680806, 0.05637347178162147, 0.05627310214726523, 0.056172329422007956, 0.05607075051494863, 0.05596997778969135, 0.05583736088325278, 0.055726913976370814, 0.05562573816021251, 0.05552536852585627, 0.05540000725563622, 0.05529681598497277, 0.055152912533305384, 0.05500014108181536, 0.05489977144745912, 0.054798595631300816, 0.05469822599694457, 0.05459785636258833, 0.05448700636480533, 0.05438341200324085, 0.05428263927798358, 0.054181060370924246, 0.054080690736568, 0.05398032110221176, 0.05387793601335037, 0.05375579947033855, 0.05363366292732674, 0.05353248711116844, 0.05343050511320808, 0.05325395129855734, 0.053153581664201095, 0.05304998730263662, 0.05294961766828037, 0.05284924803392413, 0.05274363821785451, 0.052643268583498264, 0.052497349677325736, 0.05231233095375338, 0.052211961319397135, 0.05211078550323883, 0.05193100696137986, 0.05182942805432053, 0.051728655329063254, 0.05160772805875453, 0.051498490424575646, 0.051397717699318377, 0.051296541883160074, 0.051126034432024764, 0.05098898352567487, 0.05088861389131863, 0.05077413607542637, 0.05067296025926807, 0.05056654426139639, 0.050466174627040145, 0.05036096790187155, 0.050260598267515305, 0.050156197724148775, 0.05005582808979253, 0.04995545845543629, 0.04985387954837695, 0.04968095355183547, 0.04957977773567717, 0.0494346650113067, 0.04933429537695046, 0.04923392574259421, 0.04909405319993712, 0.04897272283872736, 0.04886993465896494, 0.0487695650246087, 0.048668389208450395, 0.04856801957409415, 0.04845958812171733, 0.04835881539646006, 0.04822660158092251, 0.048125022673863184, 0.048022234494100764, 0.04791299685992188, 0.04781262722556564, 0.047712257591209395, 0.047547393412688495, 0.04744702377833225, 0.04734665414397601, 0.047244672146015645, 0.04712334178480589, 0.04702015051414245, 0.0469044634255471, 0.04680248142758674, 0.04669848397512123, 0.04659811434076499, 0.046494923070101536, 0.04637318961799075, 0.04624823143867173, 0.046147861804315495, 0.04601605107967898, 0.04591366599081759, 0.045800800538529446, 0.04569357835885571, 0.0455895809063902, 0.04548880818113293, 0.04536223763820979, 0.04522558982276093, 0.04507080291676576, 0.044927705646900434, 0.04478622074063922, 0.04468585110628298, 0.04452380856406928, 0.04442263274791098, 0.04432186002265371, 0.044221490388297466, 0.04406912202770847, 0.043968752393352226, 0.0438506467593507, 0.04364426421802381, 0.043480609312205994, 0.043379836586948724, 0.04323875477158854, 0.04313596659182612, 0.04299004768565359, 0.042829214416142986, 0.04256962387588025, 0.04246925424152401, 0.042368078425365704, 0.04226770879100946, 0.04212622388474825, 0.04199844406912203, 0.041898074434765786, 0.04178641825518072, 0.0416558168032473, 0.041554640987089, 0.041453465170930695, 0.041347855354861074, 0.04123095899356264, 0.04112736463199816, 0.04102699499764192, 0.04092622227238465, 0.04082182172901811, 0.04063639991454473, 0.04053401482568334, 0.0404336451913271, 0.04033327555697085, 0.04021033283215698, 0.04010875392509765, 0.04000193483632494, 0.0399015652019687, 0.03980079247671142, 0.03969115175163151, 0.039561356481500144, 0.0394609868471439, 0.03935940794008457, 0.03923606212436967, 0.03913528939911239, 0.03902887340124071, 0.03892850376688447, 0.038827327950726166, 0.038709625407625674, 0.03860844959146737, 0.03850807995711113, 0.03840730723185386, 0.03830008505218012, 0.038175529963762125, 0.03807072632949456, 0.03797035669513832, 0.03786958396988105, 0.03776881124462377, 0.037668441610267535, 0.03754025870374028, 0.03743988906938404, 0.037310899981054725, 0.03720972416489642, 0.037109354530540185, 0.03685339180838671, 0.036720371811047106, 0.036619599085789836, 0.0364708585433101, 0.036354768363813725, 0.03625359254765542, 0.03615322291329918, 0.036045597642724414, 0.03594240637206096, 0.03583155637427796, 0.03570982292216718, 0.035609453287810934, 0.03549416929011662, 0.03539379965576037, 0.03529181765780001, 0.035188626387136566, 0.03508503202557209, 0.034958058391747926, 0.03485688257558962, 0.03475651294123338, 0.0346557402159761, 0.03453723149107355, 0.03443686185671731, 0.03433608913146004, 0.03423531640620276, 0.03413373749914343, 0.033991446411080165, 0.03389107677672392, 0.033790707142367676, 0.03363430787276839, 0.03353353514751112, 0.03342953769504561, 0.03331828460636158, 0.033197357336052856, 0.033094569156290436, 0.032951874977326136, 0.03284787752486063, 0.03274750789050439, 0.032645122801643, 0.03254475316728676, 0.03244438353293051, 0.032343610807673236, 0.032242838082415966, 0.03214246844805972, 0.03203323081388084, 0.031932861179524596, 0.03183249154516835, 0.031731718819911076, 0.03163134918555483, 0.0315297702784955, 0.03142940064413926, 0.031329031009783015, 0.031221808830109277, 0.031120633013950978, 0.031020263379594733, 0.03091949065433746, 0.030818717929080187, 0.030718348294723943, 0.030555902661609218, 0.03042247957336859, 0.030322109939012347, 0.030221740304656103, 0.03012096757939883, 0.02999157540016849, 0.02987306667526594, 0.02967273049745448, 0.02948650250117904, 0.029386132866822796, 0.029261980869305836, 0.02910920941781581, 0.02900883978345957, 0.028880656876932316, 0.02876779142464417, 0.028667421790287927, 0.028566649065030654, 0.02846587633977338, 0.02835139852388112, 0.028236920707988857, 0.02811357489227396, 0.028011592894313597, 0.027910417078155295, 0.02781004744379905, 0.027709677809442806, 0.02760769581148245, 0.027506116904423117, 0.02739405763393703, 0.02729207563597667, 0.027191706001620426, 0.02709133636726418, 0.026974440005965744, 0.026872458008005386, 0.026772088373649142, 0.026669300193886723, 0.026567721286827394, 0.02646654547066909, 0.026366175836312847, 0.026265806201956603, 0.026153343840569488, 0.026034028933864875, 0.025932046935904517, 0.025830871119746215, 0.025726873667280707, 0.025625697851122408, 0.025524925125865135, 0.025423346218805803, 0.02532297658444956, 0.025220188404687142, 0.025110950770508258, 0.025010581136152014, 0.02491021150179577, 0.024809438776538496, 0.024481725874001846, 0.024379340785140455, 0.024278971150784215, 0.02417860151642797, 0.024069363882249086, 0.023965366429783582, 0.023785184797023576, 0.02368199352636013, 0.023581220801102858, 0.023479238803142496, 0.023378869168786252, 0.023246252262347684, 0.023075744811212377, 0.02297174735874687, 0.02282582845257434, 0.02272505572731707, 0.022623476820257737, 0.022523107185901493, 0.02242233446064422, 0.022321561735386946, 0.02217806137462059, 0.02207648246756126, 0.021976112833205014, 0.021875743198848774, 0.0217749704735915, 0.021666539021214674, 0.0215657662959574, 0.02146378429799704, 0.0213634146636408, 0.02126022339297735, 0.02115824139501699, 0.02105706557885869, 0.020956695944502446, 0.020853504673838997, 0.020753135039482753, 0.02065276540512651, 0.02055158958896821, 0.020450816863710936, 0.020349641047552634, 0.02024886832229536, 0.020147692506137058, 0.02004651668997876, 0.01994251923751325, 0.019841746512255978, 0.01973936142339459, 0.019638991789038347, 0.019538622154682102, 0.01943704324762277, 0.019325790158938743, 0.01922421125187941, 0.01911376434499744, 0.019002108165412382, 0.01890093234925408, 0.018800159623996806, 0.018692131262521013, 0.018584505991946245, 0.01848413635759, 0.018378929632421406, 0.018259614725716796, 0.018154408000548204, 0.018042751820963144, 0.017906507096415312, 0.01780533128025701, 0.01770334928229665, 0.017600158011633203, 0.01749978837727696, 0.017399418742920714, 0.017288165654236687, 0.01714869620248062, 0.01702978438667704, 0.016928608570518738, 0.016819774027240882, 0.01671900130198361, 0.016561392759681236, 0.016459410761720875, 0.016354607127453312, 0.016236098402550758, 0.016135728768194517, 0.016034956042937244, 0.015934586408581, 0.015834216774224755, 0.015722963685540728, 0.015620981687580367, 0.015520612053224123, 0.015419033146164792, 0.015318260420907519, 0.015217890786551275, 0.015117521152195031, 0.015017151517838789, 0.014909526247264021, 0.014792629885965584, 0.01469226025160934, 0.014591084435451039, 0.01447459116505363, 0.014374221530697388, 0.014273045714539086, 0.014160986444052998, 0.013997734629136217, 0.013896155722076885, 0.013794173724116525, 0.013693400998859252, 0.013591015909997863, 0.0134862122757303, 0.013381005550561707, 0.013280635916205463, 0.01318026628184922, 0.013071028647670336, 0.012970659013314092, 0.012823530834438475, 0.012721951927379143, 0.012598203020763213, 0.012497833386406969, 0.012397060661149695, 0.012290241572376986, 0.012189065756218686, 0.01204879012266056, 0.011946405033799172, 0.011846035399442928, 0.011730751401748608, 0.011630381767392365, 0.011529609042135092, 0.011429239407778848, 0.011328869773422604, 0.011222050684649895, 0.011121277959392623, 0.01102090832503638, 0.010920538690680135, 0.010812913420105368, 0.01071012524034295, 0.010605321606075385, 0.010504951971719143, 0.010395714337540258, 0.010294538521381957, 0.010193362705223655, 0.010089768343659178, 0.009972065800558684, 0.009857184893765393, 0.00975641216850812, 0.00965443017054776, 0.009551641990785342, 0.009332360540625516, 0.009231990906269272, 0.009129605817407883, 0.00902923618305164, 0.008928866548695397, 0.008828093823438124, 0.008716034552952036, 0.008614858736793735, 0.008514086011536462, 0.008411297831774044, 0.008303672561199276, 0.00819483801792142, 0.00808882511095077, 0.007988052385693497, 0.007887682751337255, 0.007776832753554254, 0.0076764631191980105, 0.007493056759229774, 0.007385431488655007, 0.007284255672496705, 0.007181064401833258, 0.007080694767477014, 0.00698032513312077, 0.006879955498764526, 0.006779585864408283, 0.006679216230052039, 0.0065784435047947665, 0.006477670779537493, 0.00637730114518125, 0.006276931510825006, 0.006156407331417308, 0.006049991333545628, 0.005949621699189384, 0.005848445883031082, 0.00574727006687278, 0.005646900432516537, 0.005546530798160293, 0.005444548800199933, 0.00534417916584369, 0.0052438095314874455, 0.005143036806230173, 0.005041054808269813, 0.0049406851739135695, 0.0048403155395573254, 0.004728659359972267, 0.004628289725616024, 0.00452792009125978, 0.004427147366002507, 0.004326374640745235, 0.004226005006388991, 0.004125635372032747, 0.004024862646775474, 0.003922880648815115, 0.0038225110144588705, 0.0037201259255974814, 0.0036173377458350634, 0.003515355747874703, 0.003413776840815372, 0.0033134072064591284, 0.0032122313903008267, 0.003111458665043554, 0.00301108903068731, 0.0029107193963310665, 0.002809946671073794, 0.0027095770367175503, 0.0026063857660541027, 0.0025035975862916847, 0.0024028248610344118, 0.00230164904487611, 0.0022012794105198664, 0.0021009097761636227, 0.002000540141807379, 0.001899364325649077, 0.0017989946912928335, 0.0016982219660355608, 0.0015966430589762297, 0.001496273424619986, 0.0013959037902637425, 0.0012951310650064695, 0.0011943583397491968, 0.0010927794326898658, 0.0009920067074325931, 0.0008916370730763495, 0.0007900581660170185, 0.0006832390772443093, 0.0005812570792839494, 0.0004796781722246184, 0.0003780992651652874, 0.0002708770854915492, 0.00016970126933324735, 6.933163497700367e-05], \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.9006287880090139, 0.9016744172642058, 0.9020169598430163, 0.9023714870234929, 0.9026756724255421, 0.9029002761652212, 0.9032002349267378, 0.9034355553450846, 0.9036739917931069, 0.903935802974896, 0.9042028718807532, 0.9043997098076572, 0.9045584131490847, 0.9047947505696067, 0.9050050472518528, 0.905275643763134, 0.9055950208852377, 0.9059500379721082, 0.9063536373732467, 0.9066307963311276, 0.9069201106107394, 0.9072208099596933, 0.9074624117530199, 0.9076275714937151, 0.9078041606567842, 0.9080506227608417, 0.908279241126843, 0.9084522109394496, 0.9086947673277722, 0.9088999832033787, 0.909099448200528, 0.9092449124228005, 0.9094074015559837, 0.9095532161467831, 0.9097081428651335, 0.9099232902284344, 0.9100640235815731, 0.9102181249779409, 0.9103859091246648, 0.9105390808773536, 0.9107518751806962, 0.9108941092274405, 0.9110619954414519, 0.9112288698708356, 0.9114414171584871, 0.9115621721414804, 0.9116948524491877, 0.9118140663466385, 0.9119672899040909, 0.9121513825015174, 0.9123059056163377, 0.9124313633007037, 0.9125636329932104, 0.9126875229991128, 0.9128349156010647, 0.9129580151193356, 0.9131204545677006, 0.9132915575355544, 0.9134508341222944, 0.9135792491253593, 0.9137019920735145, 0.9138200146528763, 0.9139052072534416, 0.914025502101478, 0.9141415132122044, 0.9142818017193102, 0.9143781175893368, 0.9144904166204882, 0.9145852899501615, 0.9147524710748096, 0.914896159775977, 0.9150253162069575, 0.9151552873876216, 0.9152785764723422, 0.9154123232379513, 0.9155057244283665, 0.9156100140176573, 0.9157395385220258, 0.915880020520669, 0.9160287745703484, 0.9161164087764458, 0.9162393884949658, 0.9163902992895522, 0.9164942531803257, 0.9165839497234304, 0.9167418416642019, 0.9168402986785614, 0.916965931853844, 0.9171131172611119, 0.9171981514977449, 0.9173039694900741, 0.9174377634114886, 0.917531605855184, 0.9176458822323769, 0.9177398114876684, 0.9178522989201462, 0.9179807178679525, 0.9180785665705878, 0.9181972660177277, 0.9183276546304543, 0.9184313282534385, 0.9185501312271023, 0.9186704402225199, 0.9187738856656303, 0.918881169088927, 0.9190025353883338, 0.9190753950562243, 0.9191839572762186, 0.9193020611646383, 0.9194080679921232, 0.9195369195431176, 0.919647971671093, 0.9197514711444853, 0.9198348593885993, 0.919960098331475, 0.9200747092915027, 0.9201808506368543, 0.9203002048243183, 0.9204001518411149, 0.9205081469802014, 0.9206150479421645, 0.9206964443345342, 0.9207774919446289, 0.9208593680717344, 0.9209514197309547, 0.9210513114652832, 0.9211779863825855, 0.9212634546078208, 0.92135545575005, 0.921435228254438, 0.9215448971519808, 0.9216481124701055, 0.9217322053913016, 0.9218171307351699, 0.9219042911350603, 0.9220080569571026, 0.9221298803628512, 0.9222187952816848, 0.9222931117345471, 0.9223782609563476, 0.9224818292416633, 0.9225623836994283, 0.9226629983177025, 0.9227586648920275, 0.9228620562042426, 0.9229497377904448, 0.9230389933712393, 0.9231598183635138, 0.9232503122768335, 0.9233462313432058, 0.9234275334258953, 0.923517338590825, 0.9236010511558628, 0.9236874944737048, 0.9237838976598856, 0.9238996182817505, 0.9239850236285606, 0.9240635206347723, 0.9241613414361735, 0.9242337303953749, 0.9243370337557554, 0.9244032123903381, 0.9244585678529494, 0.924524469553639, 0.9246325558063707, 0.9246981617310426, 0.9247748808278715, 0.9248625245786855, 0.9249544614401146, 0.9249413457156952, 0.925034946889099, 0.925101092553058, 0.9251630017697514, 0.925220252649334, 0.9252938313632887, 0.9253251867006472, 0.9254092790303835, 0.9254646438233549, 0.9255173749203144, 0.9255749806645526, 0.9256372640067687, 0.9257229245340384, 0.9258167132816681, 0.925888976104762, 0.9259622768184965, 0.9260096602381191, 0.9260932731051396, 0.926157353469069, 0.9262184388395437, 0.9262853506876414, 0.9263667476444946, 0.9264411397186417, 0.9265140340481683, 0.9266137994925693, 0.9266749768247489, 0.9267097710634301, 0.9267888842580541, 0.9268265803877922, 0.9268980691683267, 0.9269554818628954, 0.9270178944262938, 0.9270578499595072, 0.9271274815443199, 0.9272108044330414, 0.9272812731378725, 0.9273638174257078, 0.9274315768451469, 0.9275056458759926, 0.9275621502192992, 0.9276276683914234, 0.9276763913583719, 0.9277321725723838, 0.9277895384163756, 0.9278496642664505, 0.9279207132064629, 0.927979257337392, 0.928042553155567, 0.9280886629134175, 0.9281634517822225, 0.9282131261634723, 0.928250270638538, 0.9283143946594883, 0.928371572231377, 0.9284464262093337, 0.9284848100597031, 0.9285463653850219, 0.9285906669107751, 0.9286286994059298, 0.9287075343250856, 0.9287613142749811, 0.9288045018934186, 0.9288598885927074, 0.9289043179112242, 0.928950575657094, 0.9290046251996321, 0.9290628082087653, 0.9291066380067979, 0.9291428174445834, 0.929210926255697, 0.9292487090324927, 0.9293306467541076, 0.9293669156116391, 0.9294377824538672, 0.9294799923331224, 0.9295498125120083, 0.9296050083547522, 0.9296468127443556, 0.9297014606788777, 0.9297879474707346, 0.9298417059486775, 0.9298852175448935, 0.9299153167828361, 0.9299753235335341, 0.930039816672536, 0.9300721762139692, 0.9301396035076804, 0.9301907185319522, 0.9302628094248018, 0.9303119859421589, 0.9303584094655071, 0.9304084095987697, 0.9304433567105839, 0.930488240699772, 0.930534208873525, 0.9305822906128988, 0.930614088219182, 0.9306720444183901, 0.9307158133987692, 0.9307825278169225, 0.9308294721633712, 0.9308812202428626, 0.9309444891131271, 0.9310093680827181, 0.9310443008974411, 0.9311057081722364, 0.9311539760400606, 0.9311965828368237, 0.9312560035351545, 0.9312927990880904, 0.9313439573525942, 0.9313720051345428, 0.9314334834877132, 0.9314925980979344, 0.9315501427355178, 0.9316013422738543, 0.9316402237528792, 0.9317048414753655, 0.9317499760736112, 0.9318036331625437, 0.9318695972731256, 0.9319081267553253, 0.931951080299367, 0.9320004241955678, 0.9320442038571239, 0.9320768049851635, 0.932134306724235, 0.9321745396289647, 0.9322478993844414, 0.9322915819491018, 0.9323246468191569, 0.9323561537437214, 0.9324019575934688, 0.9324510584129503, 0.932493697375495, 0.9325296156319637, 0.932567571910654, 0.9326026265329371, 0.9326457452540605, 0.9326853368648454, 0.9327565373027832, 0.9328020167329133, 0.9328212468425312, 0.932860289874968, 0.9328729794981788, 0.9329183041680006, 0.9329435678392822, 0.9329975282525286, 0.9330508238072237, 0.9330973259800038, 0.9331197402524893, 0.9331690164440026, 0.9331962872983243, 0.9332167494140369, 0.9332749737532301, 0.9332778608480156, 0.9333080288883339, 0.9333277730510602, 0.933374470024682, 0.9334195194307933, 0.9334690002757213, 0.9335164896623941, 0.9335455170137779, 0.9335701049765078, 0.9336308934551121, 0.9336428707949425, 0.9336737439644205, 0.9337188983708434, 0.9337781429971764, 0.9338152849862569, 0.933855226209586, 0.9338625866050808, 0.9339077500141133, 0.9339227668031208, 0.9339917077414243, 0.9339885127301216, 0.9340301600806937, 0.9340911590592954, 0.9341175780358566, 0.9341574279618328, 0.9341777865618789, 0.9342189255411117, 0.9342238452589844, 0.9342623504986222, 0.9342794138538072, 0.9343129557701593, 0.9343457859155611, 0.9343719693549816, 0.93438342096065, 0.9344433871680058, 0.9344989320219663, 0.9345198566695029, 0.9345746341522476, 0.9345775881045599, 0.9346178101780602, 0.9346095512155534, 0.9346420781967341, 0.9346556623552071, 0.9347056282789358, 0.934723505745012, 0.9347774606350772, 0.9347890469464826, 0.9348342078835539, 0.9348195969172766, 0.9348684549702997, 0.934880042982612, 0.9349236588291581, 0.9349389224837381, 0.9349675858795378, 0.9350161002983335, 0.9350020038619885, 0.9350391941662075, 0.9350572438604072, 0.935089973456431, 0.9351101490020167, 0.9351599612467706, 0.9351777324535926, 0.9352129542828584, 0.9352213815906609, 0.9352610882026683, 0.9352771305403954, 0.9353172639500688, 0.9353378172570084, 0.9353624511082138, 0.9354115620488974, 0.9354174708998021, 0.9354702660774319, 0.9354704608507345, 0.9355013095187356, 0.9355189830464233, 0.935541220359691, 0.9355620536687671, 0.9355875633153408, 0.9355868882232306, 0.9355896812529061, 0.935611945601739, 0.9356062767350768, 0.9356563249150409, 0.9356664099016043, 0.935715147899651, 0.9357595562873672, 0.9357708746074194, 0.9357953150878306, 0.9358002455282673, 0.9358455194409235, 0.935856563277058, 0.9358945103735218, 0.9358899954007661, 0.9359454663371859, 0.9359463258339663, 0.9359940623669762, 0.9360013694030128, 0.9360475527041014, 0.9360790031651237, 0.9361059247066617, 0.9361427175454022, 0.9361512968967317, 0.9361885922250517, 0.9361848925484113, 0.9362156077842138, 0.9362307444025265, 0.9362219021320021, 0.9362657429297905, 0.936278406940484, 0.9363142060062359, 0.9363184724136437, 0.9363643765529052, 0.9363627925873778, 0.9364017755062631, 0.9364109220810446, 0.9364515373109159, 0.9364716808382945, 0.9364949922701825, 0.9365250009532229, 0.9365328320929446, 0.93659260961026, 0.9366341487585765, 0.9366515122605944, 0.9366926124491499, 0.9366959705127581, 0.9367400223797091, 0.9367532538208476, 0.9367997675329167, 0.9368154783332484, 0.9368353066491508, 0.9368485026264088, 0.936901642526675, 0.9368882820764233, 0.936925806386417, 0.936935345524597, 0.936973711505128, 0.9369709245005774, 0.9370433319206481, 0.9370368709227492, 0.9370695368534284, 0.9370864670169854, 0.9371207988738343, 0.9371481317876798, 0.9371524598264791, 0.9372036167829644, 0.9372317162063659, 0.937260593958108, 0.9372854915570358, 0.9373189814653754, 0.9373105615174634, 0.9373642420571554, 0.9373817360606604, 0.9374111855628539, 0.9374105142086581, 0.9374495064691221, 0.9374649556192672, 0.9374867737930646, 0.937502287351289, 0.9375454512980383, 0.937538592362329, 0.9375622804606868, 0.9375938622265753, 0.9376378931167286, 0.9376707652534111, 0.9376970251247587, 0.9377314635982174, 0.9377486315057013, 0.9377562798781602, 0.9377778739570135, 0.9378294368879204, 0.9378331989529374, 0.9378736005995284, 0.9378825141139947, 0.9378991139052523, 0.9378976161596159, 0.9379488319923178, 0.937951327194915, 0.9379975108425188, 0.9379972423165072, 0.9380393819025177, 0.9380301147667495, 0.9380896004602839, 0.938104784361357, 0.9381345082157359, 0.9381280017782083, 0.9381610622698294, 0.9381610972204074, 0.9382053133569306, 0.9382009502637972, 0.9382498457764006, 0.9382498578242748, 0.9382806740191243, 0.9382900574361502, 0.9383114824250406, 0.9382912985713874, 0.938332743989469, 0.9383779778082976, 0.9384100969556993, 0.9383984621258535, 0.9384304019594, 0.9384648520941304, 0.9385068161911412, 0.9385150229730191, 0.9384851006033713, 0.9385492119727685, 0.9385720351133805, 0.938600290268534, 0.9386051786051786, 0.9385745450209364, 0.9385994813091515, 0.9386269313020587, 0.9386568963306934, 0.9386600060995834, 0.9386842800151933, 0.9387004457080559, 0.9387329498862621, 0.9387486813782092, 0.9387347252324189, 0.9387639049881701, 0.9387980874875922, 0.9388444452369754, 0.9388455817835513, 0.9388270281794041, 0.9388692317849127, 0.9389072602448814, 0.938933988611756, 0.938937204793985, 0.9389093422318026, 0.9389385514025995, 0.9389711786757751, 0.93899078655329, 0.9390006973416586, 0.9389839612098376, 0.939022046631777, 0.9390618504628616, 0.9390793888939059, 0.9390616761896073, 0.9390868097827497, 0.9391350286941511, 0.9391677441580579, 0.9391663750757316, 0.9391479141415136, 0.9391840138738861, 0.9392201249526525, 0.9392436295571532, 0.9392236679052689, 0.9392627051887193, 0.93931233342431, 0.9393493471508164, 0.9393522079906182, 0.9393250898431597, 0.9393456726551132, 0.939390309609593, 0.9394075631515211, 0.9394399980254758, 0.9394236341510165, 0.9394585896897145, 0.9394905488221051, 0.9395369182735663, 0.9395122516728885, 0.9395463844137728, 0.9395982113961466, 0.9396404221209808, 0.9396216010528674, 0.9396549940213719, 0.939704859408225, 0.9397244998566744, 0.9397077146900692, 0.9397233779903531, 0.9397639023784019, 0.939804548525107, 0.9398117662319646, 0.9397794347610168, 0.9398024785729996, 0.9398261970253888, 0.9398375259289916, 0.9398638259497238, 0.9398148085459785, 0.9398334170717031, 0.9398610232592578, 0.9398877617094755, 0.9398954066540517, 0.9398735749853399, 0.9399096756411154, 0.9399411423375675, 0.9399619974309396, 0.9399662870608402, 0.9399592033440237, 0.9398089669941194, 0.9398447196240924, 0.9398660233806247, 0.9398870606756409, 0.939905420284755, 0.9398722230288951, 0.9399007217595249, 0.9399404033778984, 0.939959216210376, 0.9399630702622992, 0.9399423922215874, 0.9399834198303372, 0.9400206172171481, 0.940056545027909, 0.9400589698633822, 0.9400416399598147, 0.940065624333652, 0.940099447739917, 0.9401307163384508, 0.9401292224140166, 0.9400563423384529, 0.9400769192930422, 0.9401108515029913, 0.9401379140668248, 0.9401610281596502, 0.9401593714466707, 0.9401195010543674, 0.9401598686386079, 0.9402148326301806, 0.9402586345352207, 0.9402628113218051, 0.9402318090953838, 0.9402726198283248, 0.9403263562970322, 0.9403459017644106, 0.9403036862472599, 0.9403385930925253, 0.9403644531716224, 0.9403929288180121, 0.9403766795954009, 0.940404742543271, 0.9404272185211019, 0.9404634768776535, 0.9404802890487798, 0.9404537091448559, 0.9404719040800078, 0.9405193509235965, 0.940527026525453, 0.9405327125075618, 0.9405073912405546, 0.9405407091017317, 0.9405770572346807, 0.9405883640056752, 0.9405663433836507, 0.9406048794996025, 0.9406291787606378, 0.9406465753525285, 0.9406416491073565, 0.9405932040213577, 0.940621827242021, 0.9406530536068817, 0.9406830194977005, 0.9406887444259191, 0.9406689382872324, 0.9407093113445467, 0.940737577896957, 0.9407549755484964, 0.9407658561550527, 0.9407310733818038, 0.940765871679808, 0.9408130040851976, 0.940844359197522, 0.940848164914402, 0.9408125457041974, 0.9408334340163484, 0.9408752121614641, 0.9409061805755449, 0.9409059536947159, 0.9408975444538527, 0.9409181091395098, 0.9409564868195729, 0.9409850202758101, 0.9409938490434667, 0.9409755331337547, 0.940992655212692, 0.9410261706938693, 0.941064535973928, 0.9410716184295072, 0.9410591941794347, 0.9410963604480814, 0.941122139808902, 0.9411505935315195, 0.941150454146116, 0.9411273302849104, 0.941183277962604, 0.9412230951928998, 0.9412493598357475, 0.9412447646233956, 0.9412008707617683, 0.9412572922533498, 0.9412928136016928, 0.9413091682022585, 0.9413114764741809, 0.941295851743613, 0.9413331242434604, 0.9413560210760282, 0.9413832119566126, 0.9413899827519304, 0.9413582755329747, 0.9413724808959621, 0.941416374110893, 0.94144232046961, 0.9414520417827272, 0.9414389247619703, 0.9414785382256258, 0.9414984654168993, 0.9415231872769336, 0.9415259672460213, 0.9414915993760494, 0.9415091942248288, 0.9415422972418779, 0.9415613558741261, 0.9415644463152248, 0.9415339590619382, 0.9415674549091473, 0.9415913350725076, 0.9416144841681368, 0.9416164587261595, 0.9415904565147438, 0.9416218818127627, 0.9416442863947073, 0.9416779266248866, 0.9416746110295288, 0.9416370864489451, 0.941663253645317, 0.941685497483879, 0.941703103686679, 0.9417134805213251, 0.9416802661589315, 0.9417368780332713, 0.9417825002852585, 0.9418131611662437, 0.9418129377138869, 0.9418030094453423, 0.9418389538331077, 0.9418647702023949, 0.9418813621606945, 0.9418782890424555, 0.9418409028407965, 0.9418601545591578, 0.9418790849902924, 0.9419132762824497, 0.9419108843964723, 0.9419067586434519, 0.941876020815489, 0.9418987001496092, 0.941923290414516, 0.9419518664379062, 0.9419170455495312, 0.9419542464873273, 0.9419858437209931, 0.9420025125604532, 0.9419974833405225, 0.9419727533961889, 0.941997819452757, 0.9420158330997929, 0.9420520161893359, 0.9420571658103883, 0.9420284262593017, 0.9420469044820895, 0.94207999487846, 0.9421135666737758, 0.94211432109636, 0.9420770377518154, 0.9421092265584944, 0.9421391236314105, 0.9421643083847423, 0.942168105545435, 0.9421465580911434, 0.9421868713003272, 0.9422089725740775, 0.942235054472841, 0.9422299908733032, 0.9422235101611618, 0.9421885035324342, 0.94221235594181, 0.942232045890113, 0.9422688497945936, 0.9422762779308523, 0.9422376287155937, 0.942263801516566, 0.942302016305263, 0.9423268699109301, 0.9423272089664025, 0.9422953203708937, 0.9423250740147504, 0.942347570085536, 0.9423764760264695, 0.9423839365647781, 0.9423448285015201, 0.9423840375168417, 0.9424228127615286, 0.9424405673664692, 0.9424410955343685, 0.9424174443476495, 0.9424373099699939, 0.9424506084184727, 0.9424782541825453, 0.9425000640934948, 0.9425048222650868, 0.942552604080787, 0.9425814512637404, 0.9425947896584111, 0.9425918636667884, 0.942553548773184, 0.9425830673335811, 0.9426066821825754, 0.9426142088132734, 0.9426096235914786, 0.9425707535936443, 0.9425931271811611, 0.9426020347394068, 0.9426185256254173, 0.942596571382807, 0.9426139427507794, 0.9426420798641908, 0.9426810161658412, 0.9426948926975163, 0.942646003600648, 0.9426679635144575, 0.9426931087030543, 0.9427160102289086, 0.9427150234712629, 0.9426724127628349, 0.9427028598367311, 0.9427201337410088, 0.9427358283920941, 0.9427366739371675, 0.9427188920909229, 0.9427485811088885, 0.9427981342899604, 0.9428206518903326, 0.9428142594507641, 0.9427575574449201, 0.9427926954182678, 0.9428034657419063, 0.9428377726571407, 0.9428471687084101, 0.9428387537384585, 0.9427802464963186, 0.9427942012507107, 0.9428144711851302, 0.9428275566604485, 0.9428347580810963, 0.9428278922826663, 0.9428008942349353, 0.9428430164497068, 0.9428747212403769, 0.9428914252943905, 0.9428987306444938, 0.9428366773219574, 0.9428584092412453, 0.9428810838914354, 0.9428936034455256, 0.942858300215992, 0.9428769035324894, 0.9428818676508256, 0.9428990874197464, 0.9429122450978548, 0.9429058547159505, 0.9428570186619193, 0.94289523579494, 0.9429225321661358, 0.9429456550732369, 0.9429451692332972, 0.9429188795067478, 0.9429393647635816, 0.9429534713207598, 0.9429767045435307, 0.9429853185417331, 0.9429807032602501, 0.9429399258314906, 0.9429704895867534, 0.9429941292627747, 0.9430456428359316, 0.9430473304692834, 0.9430440317155889, 0.9429804838128336, 0.9429987584377955, 0.9430271056640012, 0.9430385275792551, 0.943033766001792, 0.9430137678045559, 0.9430347843147158, 0.9430594991660539, 0.9430663274079644, 0.9430676474017645, 0.9430597079833025, 0.9430032383362986, 0.9430663567469325, 0.9431085571931122, 0.9431310364360215, 0.9431175590891566, 0.9431482614853756, 0.9431601593734144, 0.9431814418328285, 0.9431823606374035, 0.9431775720967529, 0.9431377653496199, 0.9431791475165562, 0.9431980052638329, 0.9432278820270725, 0.9432288081810691, 0.9432233922921743, 0.9431757091622864, 0.943200120330244, 0.9432410967575552, 0.9432631389198688, 0.9432566315819303, 0.9432264801004266, 0.9432615340687966, 0.9432855293063722, 0.9432915398982462, 0.9433062909096956, 0.9432993851363349, 0.9432427125227524, 0.943262585023352, 0.9432888490047359, 0.9432985397676444, 0.9433067077467031, 0.9432982895641507, 0.9432808340151267, 0.9433177339841098, 0.9433278445917916, 0.943336135302755, 0.9433453815241346, 0.9432710602597336, 0.9432960648247073, 0.9433067384597245, 0.9433283722237482, 0.9433335921536173, 0.9433261558620412, 0.9432800463168602, 0.9433027983312342, 0.9433320556430038, 0.9433741545075868, 0.9433446329241582, 0.9433855119116982, 0.9434109577232368, 0.9434174944588055, 0.9434119191306027, 0.9433590224395806, 0.9433775750750639, 0.9433994750759759, 0.9434111407327583, 0.9434042246598381, 0.943384192201004, 0.943407507910951, 0.9434368873547553, 0.9434405644139662, 0.9434089254767316, 0.9434560495992108, 0.9434714757229625, 0.9434915430377826, 0.9434883178170843, 0.9434431259216738, 0.9434711208470967, 0.9434860755871944, 0.9434944392515962, 0.9434944241599599, 0.9434551710332553, 0.9434822965278924, 0.9435122366114975, 0.9435458164763131, 0.9435407182499586, 0.943504108598165, 0.9435270907411064, 0.943543300326397, 0.9435540910180603, 0.9435548804400165, 0.9435275198237492, 0.9435608134085849, 0.9435861487183028, 0.9435978669825514, 0.9435950239702389, 0.9435406408198451, 0.9435702054027807, 0.943588061985957, 0.9436099337052923, 0.9436126957170098, 0.9436062658708962, 0.9435402158153982, 0.9435821231812825, 0.9435920548370001, 0.9436264561482591, 0.9436297807190341, 0.9435945957005538, 0.9436247914959287, 0.943643691713582, 0.9436649533561831, 0.9436645458440232, 0.9436712565197155, 0.9436358437502187, 0.9436731755241626, 0.9436989690804133, 0.9437007844480731, 0.9436936035693564, 0.9436553591977108, 0.943690379941378, 0.9437102356906065, 0.94372820720575, 0.9437225512964277, 0.9436894702396285, 0.9437159116311193, 0.9437471771074631, 0.9437595541073951, 0.9437600192148295, 0.943753795726119, 0.943700715662913, 0.9437164192742196, 0.9437457004986166, 0.9437493691088578, 0.9437199463367819, 0.9437442050380049, 0.9437603446395353, 0.9437903108237861, 0.9437989777335772, 0.9437718717487941, 0.943801839190579, 0.9438256700025465, 0.9438394189607834, 0.9438336469543522, 0.943798536494205, 0.943824011728521, 0.9438549249637076, 0.9438709892010555, 0.9438685890408542, 0.9438615151568616, 0.943853958279556, 0.943791245536334, 0.9438241157350126, 0.9438436822186049, 0.9438575353588808, 0.9438609622103505, 0.943853589695152, 0.9438090298629688, 0.9438243829438709, 0.9438426041570803, 0.9438607173706792, 0.9438647302921355, 0.9438395052982076, 0.9438656106957545, 0.9439158426316744, 0.9439356435016959, 0.9439338323721697, 0.9439276616648351, 0.9438861149797176, 0.9439157306531726, 0.9439550695548883, 0.9439637316339677, 0.9439459301809513, 0.9439580040137254, 0.9439777445278399, 0.9439920796982897, 0.9439973730608815, 0.9439917324077637, 0.9439838279968159, 0.9439227638247906, 0.9439410951739295, 0.9439685499548564, 0.9439801176143985, 0.9439453179652463, 0.9439761614111826, 0.9440079475348697, 0.944021003830817, 0.9440169869797712, 0.9439812253638936, 0.9440134994887253, 0.9440294571613035, 0.9440468345547033, 0.9440419356713163, 0.9440347469680518, 0.9440270141979535, 0.9439644457874312, 0.9440030753459764, 0.944035480703589, 0.944037042068097, 0.9440129684616658, 0.9440365162970276, 0.9440868084445253, 0.9440999598749735, 0.9441022398059001, 0.9440973369068935, 0.9439932711605507, 0.9440093406568072, 0.9440568291405633, 0.9440801712977815, 0.9440730595666945, 0.9440233939129654, 0.9440719476658418, 0.9440929017107045, 0.9441090164182652, 0.9441030679734456, 0.9440968341305809, 0.9440241536406792, 0.9440553328061387, 0.9440840949868943, 0.9441093525860708, 0.9441123925075091, 0.944059616742159, 0.9441132165838811, 0.9441366852558367, 0.9441596463111129, 0.9441405217255069, 0.9441890601836292, 0.9442154831884467, 0.9442331222861775, 0.944229168579052, 0.9442214883381721, 0.9441721636190372, 0.9442225110196528, 0.9442840934384161, 0.9443476518130582, 0.9443562366848491, 0.9443695196721896, 0.9443877466612072, 0.9444123277202032, 0.9444105420917246, 0.9444047615968884, 0.9443734869052289, 0.9444249762801842, 0.9444630820364676, 0.9444749939418793, 0.9444805810209089, 0.9444320908368541, 0.9444743116445617, 0.9444940485449579, 0.9445059834591426, 0.944498702053116, 0.9444765277399437, 0.9445089968930062, 0.9445361419768465, 0.9445464517297892, 0.9445471003864352, 0.944539873860083, 0.9444958347840999, 0.9445195789097267, 0.9445560973581061, 0.94457922408522, 0.9445477109432835, 0.9445601562186999, 0.9445800073583862, 0.9445998359454373, 0.9446270756842945, 0.9446208808887399, 0.9446160158668419, 0.9445718245800845, 0.944606964432027, 0.944622669854902, 0.9446573378487024, 0.9446629632683134, 0.9446535773203355, 0.9446104187776164, 0.944674766720335, 0.9447024978290425, 0.9447095612404122, 0.9446762383397852, 0.9447134997175791, 0.9447399021720196, 0.9447440424808392, 0.9447431828943823, 0.9446708363764391, 0.9447012383925264, 0.9447232335789415, 0.9447635012942246, 0.9447584486230505, 0.9447080393471802, 0.9447215794614174, 0.9447455956310886, 0.9447552069415738, 0.9447682935665747, 0.9447594760683913, 0.9446912193695882, 0.9447401165181704, 0.9447547434190698, 0.9447624167909039, 0.9447547153133975, 0.944699113841785, 0.9447525715251948, 0.9447731682683721, 0.9447913115370004, 0.9447865272992306, 0.9447788444611235, 0.9447183548211099, 0.9447298024002436, 0.9447484680062704, 0.9447651445684485, 0.9447644873303671, 0.9447144271897403, 0.9447416045801655, 0.9447767821742923, 0.9447819999830811, 0.9447547509157994, 0.9447843737285719, 0.9448110946130295, 0.9448211184916996, 0.9448140831830077, 0.944734486043283, 0.9447657573355742, 0.9448165492022299, 0.9448182520653114, 0.9448134404358784, 0.9447275347026861, 0.944758876377149, 0.9447862118594208, 0.9447993217257721, 0.944794203021829, 0.9447703765482071, 0.9447908243605566, 0.9448145302546923, 0.9448262649967671, 0.9448193385388586, 0.9447643057193043, 0.9447875970578393, 0.9448124949704301, 0.9448263216694952, 0.9448199500917188, 0.9447883684807934, 0.9448172364711882, 0.9448522231886068, 0.9448689807765893, 0.9448726310811546, 0.9448620363084262, 0.944786519064349, 0.9448039206250929, 0.9448364854068426, 0.9448436206332192, 0.9448377312870768, 0.9447722354118143, 0.9448088678626754, 0.9448369377415209, 0.9448235013494354, 0.9448737634219516, 0.9449120028055289, 0.9449147520217267, 0.9448646321589071, 0.9448816107572799, 0.9449163532093465, 0.9449464814148456, 0.9449274973002885, 0.9449470394538874, 0.9449853789147882, 0.9449946301351013, 0.9449973684366149, 0.9449891468750151, 0.9449455730076126, 0.9449809152499317, 0.9449973892869254, 0.9450062962697765, 0.9449768910052682, 0.9450244361580789, 0.9450460863637711, 0.9450539915364036, 0.9450513258919234, 0.9450091461720667, 0.9450435377504318, 0.9450693014810038, 0.9450848723662743, 0.945087552340046, 0.9450795479514695, 0.9450075519473429, 0.9450409646162822, 0.9450727669165776, 0.9450913197554421, 0.9450907310687305, 0.9450468837974794, 0.945064548722075, 0.9450861949448474, 0.9450976993595038, 0.9450964437746283, 0.9450358206203122, 0.9450530019044127, 0.9450788749296098, 0.9451001712974493, 0.9450999332512088, 0.945019673485359, 0.9450491271478859, 0.9450714577733705, 0.9450814925576021, 0.9450909866100513, 0.945057438614878, 0.9450813680920392, 0.9451109049855531, 0.9451237173121483, 0.9451167617833105, 0.9451092597695541, 0.9450497089859977, 0.945090142333444, 0.9451423267157987, 0.9451518888811917, 0.9451588758126005, 0.9451096180351538, 0.9451671943690866, 0.9452423512032883, 0.9454476992844113, 0.9456718376272808, 0.94567829543199, 0.9456046278833917, 0.9456344987778141, 0.9456643801773317, 0.9456802055236959, 0.9456748369943729, 0.9456668281572319, 0.9456073281424194, 0.9456579835483535, 0.945685331565307, 0.9457001999779328, 0.9456962026706371, 0.945647717767986, 0.9456755638149292, 0.9456858032482639, 0.9456998174580483, 0.9457271365966782, 0.9457316375604454, 0.9457242171053319, 0.945657795238035, 0.9457032668051546, 0.9457384842213833, 0.9457527778818664, 0.9457119457764713, 0.9457498136959794, 0.9457725937871189, 0.9457817829880826, 0.9457743591271845, 0.9457337197845652, 0.9457842439722831, 0.9458091826874468, 0.9458325320884751, 0.9457970094520425, 0.9458261599100531, 0.9458725862596365, 0.9458834450964652, 0.9458393619795776, 0.9458868656838757, 0.945927546291039, 0.9459478026924711, 0.9459454667157239, 0.9458624918837025, 0.9459363894831382, 0.945968303388515, 0.9460028108901726, 0.9460046819157533, 0.9459972893105517, 0.9459511447716544, 0.9459699306566847, 0.9459782010863309, 0.945999658482673, 0.9459937572561744, 0.9459334828126619, 0.945956393914176, 0.9459868117566571, 0.9460126924725023, 0.9460064513827895, 0.9460006465853604, 0.9459462324674122, 0.9459618580553568, 0.9459986693488069, 0.9460334119551715, 0.9460254269937075, 0.9459630933109141, 0.9460031398789224, 0.9460293867654427, 0.9460514703168152, 0.9460452882833446, 0.945972120931035, 0.9460350115244681, 0.946058758594411, 0.9460679862489646, 0.9460620195969954, 0.9460532807104095, 0.9459989393731078, 0.9460377847764138, 0.9460482683473556, 0.9460710028539713, 0.9460685325366698, 0.9459729636984491, 0.9460227576439767, 0.9460708531268449, 0.9460808070232911, 0.9460608903306236, 0.9461113726833027, 0.946130400324004, 0.9461456727692293, 0.9461396727371079, 0.9460682284558125, 0.9460889458468557, 0.9461091363080678, 0.9461384133206281, 0.9461408995261343, 0.9460886706634476, 0.9461126347848304, 0.9461574688384973, 0.9461570431355475, 0.9461280737565797, 0.946158464438274, 0.9461947567789977, 0.9462160956601087, 0.9462103879942637, 0.9461113540622662, 0.9461311149725172, 0.9461543655425161, 0.946174677633722, 0.9461702105921578, 0.9461018970072649, 0.9461243843988595, 0.946139348992163, 0.9461688139625598, 0.9461689562845632, 0.9461212478263221, 0.9461431737611364, 0.9461608586202244, 0.9461866322835785, 0.9461795083419199, 0.9461137946176525, 0.9461503930859313, 0.9461631319285659, 0.9461755371776335, 0.9461195065734042, 0.946148598695765, 0.9461766200014514, 0.9461818772046536, 0.9461752066644793, 0.9461073559649581, 0.946152696659256, 0.9461769546429606, 0.9461763236992101, 0.9461415597209909, 0.9461853025034651, 0.9462014884342774, 0.946203542355106, 0.9461610989292246, 0.9461740407121235, 0.9461962206181709, 0.94620639446424, 0.9462006599159084, 0.9461429194736392, 0.9461890653218484, 0.9462140076254665, 0.946190949372806, 0.9462268005639801, 0.946252830479734, 0.9462663711464839, 0.9462604755338168, 0.9462053733531757, 0.9462401977541666, 0.9462548172611895, 0.9462171878336035, 0.9462689857856231, 0.9462894813557658, 0.9462991809572857, 0.9462961604890293, 0.9462880343287159, 0.9462353407738938, 0.9462707917863806, 0.9463063571579764, 0.9463309189390547, 0.9463236731912255, 0.9462673774493481, 0.9462935792676535, 0.9462978615428198, 0.9463218844356063, 0.9462952163090019, 0.9463217494411958, 0.9463633906813445, 0.9463805524297862, 0.9463317721876882, 0.9463600931868172, 0.9463951139561924, 0.9464010730008882, 0.9463620821055214, 0.9463911519614113, 0.9464290387432533, 0.9464425621067706, 0.9464414111492988, 0.946440956060324, 0.946385352331235, 0.9464354691834115, 0.9464723384764921, 0.9464921519064069, 0.9465000737403373, 0.9464309584475246, 0.9464513511225541, 0.9464810839723541, 0.9464890189857893, 0.9464591251419996, 0.9464795449604084, 0.9464927792083289, 0.9465128584416685, 0.9465045073703809, 0.9464964040263676, 0.9464611775942469, 0.9464827364987866, 0.9464997760676305, 0.9465106746770662, 0.9464726083593146, 0.9464884629046306, 0.946523377591843, 0.94653493212935, 0.9465276486791278, 0.9464613375593848, 0.9465001362500235, 0.9465236997907072, 0.9465291286234896, 0.9465251670813096, 0.946517342034077, 0.946507775845915, 0.9464320821242105, 0.946467133413872, 0.9464887590828259, 0.9464821115281394, 0.946458515247822, 0.9464846816224256, 0.9465086260248378, 0.9465162397838154, 0.946461660116371, 0.9465096554129868, 0.9465342010621491, 0.946577758515526, 0.9465711697389386, 0.9465398826586114, 0.9465867128138934, 0.9466067970462428, 0.9466210076168707, 0.9465565618895401, 0.9466201357795602, 0.9466615973094505, 0.9466584928123389, 0.9466065322911992, 0.9466300513353902, 0.9466709212572553, 0.9466694903641324, 0.9466425541966738, 0.9466610470828127, 0.9466970024782426, 0.9467340962712798, 0.9467325867041724, 0.9466941365214533, 0.94671154090821, 0.9467317661413756, 0.9467610076732853, 0.9467042385005718, 0.9467329794981638, 0.9467797758979182, 0.9467834404010751, 0.9467777068120722, 0.9467324823331089, 0.9467673260860618, 0.9467892567998034, 0.9468049498919202, 0.9467991724554408, 0.9467414264413518, 0.9467673792909368, 0.9467781289608944, 0.946786396080105, 0.946785832988611, 0.9467441885509638, 0.9467962749972174, 0.946810981113194, 0.9468189227419742, 0.9468137589477944, 0.9467488147454123, 0.9467641375440145, 0.9468069348937704, 0.9468134364792519, 0.9467683462083922, 0.9467921301284061, 0.9468080569645533, 0.9468079674209688, 0.9467991785401423, 0.9467107128047757, 0.9467574338779446, 0.946779662649674, 0.9468112717276431, 0.9468065179617366, 0.9467643548600981, 0.9468155337347415, 0.946844659169643, 0.9468434651079197, 0.9467624569556785, 0.9467870509377709, 0.9468093334429035, 0.94682541984862, 0.9468253646836668, 0.9468157204099683, 0.946768219590549, 0.9467845788575098, 0.9468092254404821, 0.9468201233263608, 0.9468163696344056, 0.946785693512738, 0.946813236091711, 0.9468373457463574, 0.9468677783947759, 0.946859551886864, 0.9468111447592807, 0.946859363817749, 0.9468777737707984, 0.9468956153390267, 0.9468625834202753, 0.9469000033426421, 0.9469195620710386, 0.9469167078558579, 0.9469116359390962, 0.9468679235178525, 0.9469123185260888, 0.9469273300872165, 0.9469360043840955, 0.9469621395658163, 0.9469092097313913, 0.9469825622838731, 0.947021293335472, 0.9470848828243195, 0.9470918356140312, 0.947032039895326, 0.9470552260809479, 0.9470691289238634, 0.9470801748674224, 0.9470771040119906, 0.9470710724076289, 0.9470740421639265, 0.9469908354421697, 0.9470366665461948, 0.9470842253213915, 0.947095527224683, 0.9470947401195667, 0.9470542087420237, 0.9470982830316707, 0.9471076347789483, 0.9471274526049626, 0.9471201418199408, 0.9470716029722035, 0.9470931529459914, 0.9471170718785207, 0.9471380885345267, 0.9471386007001786, 0.9471340552593823, 0.9470604137941228, 0.9471117955035417, 0.9471217377322468, 0.9471222157182908, 0.9470777701103918, 0.94711170159616, 0.9471450622044164, 0.9471427857445639, 0.947134663590955, 0.9470798309075038, 0.9470921374084477, 0.9471091632461615, 0.9471165346125248, 0.9471076096793816, 0.9470604504564148, 0.9470675310723136, 0.947087510545546, 0.947128275578564, 0.947147035949056, 0.9471405143754614, 0.9471322307445974, 0.9471225031688584, 0.9470599582319991, 0.9470840945819775, 0.9471077149319161, 0.9471336002388123, 0.9471301325222681, 0.9471219269927986, 0.9470543808993968, 0.9470768021765135, 0.9471074770742894, 0.9471122120934884, 0.947064210074832, 0.9470859115344432, 0.9471056871179054, 0.9471268806622298, 0.9471199850485921, 0.9471115832629778, 0.9470570881304914, 0.947102004862276, 0.9471249091345869, 0.9471272660099752, 0.9471201319250344, 0.9470795031769789, 0.9470913883403129, 0.9471233008537833, 0.9471310545601817, 0.9471224950836191, 0.9470861673252642, 0.9471179534923299, 0.9471568984528812, 0.9471556114146082, 0.9471463816355775, 0.9470829763350066, 0.9471329018538904, 0.94716618635927, 0.9471399332653186, 0.9471785973158785, 0.9472030078963556, 0.9472075717843553, 0.9471347554202105, 0.947176505061201, 0.9472110570304231, 0.9472078855413919, 0.9471771835845574, 0.9472076610301371, 0.9472596223169372, 0.9472515153900654, 0.9472099249727723, 0.9472314609121466, 0.947244643570961, 0.9472584283408934, 0.9472487465632591, 0.9471817131712887, 0.9472240629013216, 0.9472904050870932, 0.9472594139878691, 0.947284586467354, 0.9472910958817473, 0.9472965758398466, 0.9472881733382597, 0.9472789675237732, 0.9472277766412067, 0.9472776606817838, 0.9472877824751361, 0.9473431032483076, 0.9473344248806873, 0.9472716553098022, 0.9473294653852502, 0.9473614370320707, 0.9473849319244056, 0.9473771458041701, 0.9473680198450637, 0.9473126614822761, 0.9473711996265061, 0.9474086684785374, 0.9474087756817445, 0.9473288742874078, 0.9473559742526367, 0.9474181528832986, 0.9473947611159519, 0.9474238336093656, 0.9474481445318113, 0.9474650351325302, 0.9474590660851712, 0.9474066206295014, 0.9474390126122577, 0.9474542778201768, 0.9474780022624781, 0.947472058414153, 0.9474440085516657, 0.947479921279761, 0.9474982481267447, 0.9474934478121683, 0.9474408863077862, 0.9474635531486783, 0.9474896053797333, 0.9475016843658763, 0.9474923179212564, 0.9474339889093272, 0.9474595713096872, 0.9474791752365281, 0.9474805136364367, 0.947428164007552, 0.9474446381714233, 0.9474502079229591, 0.9474592367247735, 0.9474503056233144, 0.9474409988934676, 0.9473597294802416, 0.9474020062340752, 0.9474284040080978, 0.9473989141204389, 0.9474356083780011, 0.9474626244585982, 0.9474802624435793, 0.9474713692039485, 0.9474181083123686, 0.9474482297107776, 0.9474593847217422, 0.9474594003868972, 0.9474531108859153, 0.9474098287562926, 0.9474768440342233, 0.9474865550876715, 0.947478657834755, 0.9474142783592502, 0.9474346911038078, 0.9474771631367822, 0.9474846021571597, 0.9474089957492099, 0.9474341413898224, 0.9474354885945787, 0.9474491363463572, 0.9474344257011272, 0.9474448922919219, 0.9474615343027191, 0.9474653567263653, 0.9474578965956287, 0.9474218206453876, 0.9474608604345544, 0.9474862849725048, 0.9474925899562672, 0.9475011681053722, 0.9474648352753552, 0.9474810458720271, 0.9474996700722182, 0.9475032361645389, 0.9474887217651957, 0.9474242537279246, 0.947450275011733, 0.947471447604021, 0.9474810138020721, 0.9474721741038244, 0.9474191078326223, 0.9474470723312567, 0.9475192729724519, 0.9475274829801666, 0.947518738386924, 0.9474875232892036, 0.9475181328574074, 0.9475724036107229, 0.9475843349473458, 0.9475807405343895, 0.9475718189984472, 0.9475196451053988, 0.9475472048181515, 0.9475691636269833, 0.947569856945875, 0.9475162109418752, 0.9475483254067782, 0.9475740672265252, 0.9475696960068138, 0.9475609844546262, 0.9475003729604345, 0.9475236464136547, 0.9475581923649926, 0.9475570779120848, 0.9475490082740169, 0.9475401019346978, 0.9474744066815514, 0.9475102643079987, 0.9475423745078561, 0.9475336937304276, 0.9474955245279718, 0.9475387326300415, 0.9475674471816748, 0.947565073789962, 0.9475585125499125, 0.9475489831974236, 0.9474701464730696, 0.947499187864672, 0.9475062407932934, 0.9475181594040126, 0.9475157713242728, 0.9474871511114422, 0.9475131543061645, 0.9475371006749811, 0.9475384963466734, 0.9475301534394422, 0.9475205481002286, 0.9474634373246504, 0.9474963289623045, 0.9475305678893823, 0.9475375467688407, 0.9475277497477296, 0.9474528216824901, 0.9474985136046923, 0.9475308951319495, 0.9475353917569936, 0.9474985153202895, 0.9475303336078114, 0.9475593837458176, 0.9475671320585023, 0.9475637507529616, 0.9475206882831371, 0.9475443093608759, 0.9475749247954282, 0.9475788425280816, 0.9475292905331065, 0.947547227290204, 0.9475790214070562, 0.9475829107105098, 0.9475817821952353, 0.9475791396376432, 0.9474863326950996, 0.947495173644499, 0.9475345576526237, 0.9475377413487391, 0.9475288755129591, 0.9474740244684924, 0.9475137507002593, 0.9475469990782578, 0.9475126862448715, 0.9475446526498664, 0.9476100397100263, 0.9476332245960164, 0.9476300368007338, 0.9476248600882061, 0.9475613508861512, 0.9475877370998729, 0.9476295576581648, 0.9475939572686377, 0.9476318245292296, 0.9476608280222419, 0.9476719016444755, 0.9476624342883628, 0.9475902707001399, 0.9475994209535806, 0.9476105043725228, 0.9476054368193791, 0.9475471408287869, 0.9476103747244073, 0.9476278161438515, 0.9475946402557807, 0.9476228781896062, 0.9476272968916449, 0.9476268055877993, 0.9476180716188914, 0.9475550768160947, 0.9475758939530317, 0.947592841782775, 0.947594928937594, 0.947524343302902, 0.9475483960006942, 0.9475661291777485, 0.9475609839449385, 0.9475003455680386, 0.9475198604855218, 0.9475336172449981, 0.9475538672321394, 0.9475493945820901, 0.9474835015481342, 0.9475245207869983, 0.9475361115210251, 0.9475393225104897, 0.9475360308708519, 0.9474950043016604, 0.9475191948044985, 0.9475330092729126, 0.9475330393749729, 0.9475236984424773, 0.9474575734331124, 0.9474939890311441, 0.9475117436222091, 0.947461003627778, 0.9474747070682269, 0.9474930636898824, 0.9474927605128669, 0.9474851575886939, 0.9473941083226355, 0.9474079784825049, 0.9474290614604729, 0.947440322614115, 0.9474348375045402, 0.9473529216117784, 0.9473955239759281, 0.947420595032935, 0.9474204959736634, 0.9473747762839859, 0.9474280795887982, 0.9474379935780612, 0.9474340590855591, 0.9474252258071237, 0.9473860531581644, 0.9474032898752428, 0.9474238273373291, 0.94742771780631, 0.9473858213022207, 0.9474123155706606, 0.94743288370966, 0.9474254546264932, 0.9473772261912812, 0.9474163097430219, 0.9474699474092738, 0.9474657103774631, 0.9474176246922752, 0.9474574412886366, 0.9474800686752357, 0.947482148583309, 0.9474737127492467, 0.9474437091648925, 0.9474516736514321, 0.9474862226437556, 0.947481641450551, 0.9474090919281255, 0.9474370931789659, 0.9474523051907091, 0.9474577447460899, 0.9474061282329983, 0.9474407123571106, 0.9474641153027779, 0.9474601417043419, 0.9474504378603482, 0.9474050442069217, 0.9474271412954455, 0.947462535017945, 0.9474535609213334, 0.9473475382431749, 0.9473803673110894, 0.9473991463271905, 0.9473903928320335, 0.9473006831379845, 0.9473288920259243, 0.9473517208920386, 0.9473524989980824, 0.9473457242658156, 0.9473346292083825, 0.9472600013879506, 0.9473036672392117, 0.9473337810801467, 0.9473023403537328, 0.9473548359647288, 0.9473710714305978, 0.947369093104324, 0.9472933390073622, 0.9473149774601929, 0.9473399915280016, 0.9473757919401253, 0.9473812571103527, 0.94737714221506, 0.9472608724781509, 0.9472858004439901, 0.9472905880582946, 0.9473139935927244, 0.947318825537658, 0.9472700777040222, 0.9472979081846533, 0.9473182697094873, 0.947310101034637, 0.947299973060826, 0.9472485955799572, 0.9472832479116766, 0.9473049607327502, 0.9473035951110386, 0.9473362647468988, 0.9473689489407736, 0.9473180722304053, 0.9473796335747763, 0.9474130546144872, 0.9474082663937896, 0.9473700084665857, 0.9473823326397324, 0.9474035476670616, 0.9474002261985, 0.9473891120048527, 0.9473179683704863, 0.9473569791414718, 0.9473972220042151, 0.947398781904432, 0.9473967783597049, 0.9473225981430294, 0.9473561558146968, 0.9473931850295226, 0.9474089178410957, 0.9473502418199252, 0.9473791103632905, 0.9473884724099791, 0.9473827298855769, 0.9473063006374278, 0.9473372395361807, 0.9473689167133319, 0.9473633872456603, 0.9473188800965354, 0.947339522340556, 0.947365748197159, 0.9473605536854434, 0.9473088226108002, 0.9473374870318008, 0.9473623782377584, 0.947353464259212, 0.9472679596581983, 0.947307256256467, 0.9473370268595147, 0.9473319599524465, 0.9472713482449551, 0.9472864926059577, 0.9473307110685985, 0.9473473343443174, 0.9473370345120561, 0.9472936387690428, 0.9473248106060606, 0.9473442647871348, 0.9473830413417916, 0.9473781184630267, 0.9473244275675197, 0.947334899030127, 0.9473669180012638, 0.947381411707147, 0.9473715440210153, 0.9473143465609086, 0.9473422464247022, 0.9473728230972346, 0.9473831366255199, 0.9473714729895278, 0.9472750309400707, 0.9472953342723385, 0.9473384900380059, 0.9472881096303628, 0.9473084459111065, 0.9473327070785214, 0.9473312262483152, 0.9473249736687518, 0.94726982426472, 0.9473034775055479, 0.9473209850206646, 0.9473234233130102, 0.9472797899703916, 0.9472899624845903, 0.9473530131464069, 0.9473807969227516, 0.9473729753076467, 0.9472982931715753, 0.9473327836438487, 0.947353913389485, 0.9473649493460455, 0.9473542973209388, 0.9473081651717181, 0.9473138947227808, 0.9473545908293274, 0.9473504070442978, 0.9472946447351502, 0.9473276115214345, 0.9473457614944131, 0.9473387897470986, 0.9473293878911224, 0.9472552733925436, 0.9472885405886284, 0.9472992318865097, 0.9472575964053713, 0.9472753208423296, 0.947309350950363, 0.9473476001848108, 0.9473538825177144, 0.9472709733864756, 0.9472857537129741, 0.9472957768394972, 0.9473008423784133, 0.9472924398463407, 0.9472816282534003, 0.9472099854808158, 0.9472278264729058, 0.9472427942804179, 0.9472754520661381, 0.9472671005495433, 0.9472187427720054, 0.9472415199525888, 0.9472636352435246, 0.947269862191219, 0.9472624453774312, 0.9472501152097117, 0.9471605786152724, 0.9471998156083606, 0.9472113189636338, 0.947165605383736, 0.9471870372982404, 0.9471977197900855, 0.9472106706026436, 0.9472061502883891, 0.9471725785889931, 0.947208194684182, 0.9472512244401426, 0.9472512806095535, 0.9472000847255686, 0.9472412608525237, 0.9472506347890911, 0.9472119617946024, 0.947235408109308, 0.9472527272685942, 0.9472645873139425, 0.9472102493055877, 0.9472484357272682, 0.947262791868039, 0.9472204454397802, 0.9472594022240881, 0.9472890181274278, 0.9473014434669967, 0.9472945065907529, 0.9472504087168574, 0.9473535146510093, 0.9475636545334337, 0.9476027979103289, 0.9475632669120989, 0.9475821767045116, 0.947591657385228, 0.947582306567739, 0.9475490622771372, 0.9475796135049493, 0.9476257047256726, 0.9476417667761363, 0.9476446392787868, 0.9476414376799718, 0.9476325986366264, 0.9475109730553722, 0.947533639505923, 0.9475570427189737, 0.9475292180109881, 0.9475541008572622, 0.9475694164526494, 0.9475621406104094, 0.9474995694480324, 0.9475004460193541, 0.9475173562771035, 0.9475546453237482, 0.9475486080704749, 0.9474811978805093, 0.947544710810363, 0.9476186474716318, 0.947641391222544, 0.9475958098874986, 0.9476074390627991, 0.947616308472731, 0.9476070921909137, 0.9475563856012158, 0.9476041283282869, 0.9476137849749928, 0.9476041037366962, 0.947560538484585, 0.9475831618137863, 0.9476046118599093, 0.9475988283679966, 0.9475880686572901, 0.9475024428027154, 0.9475327498204824, 0.9475615996297772, 0.9475757441609952, 0.9476274375455426, 0.9476194805305808, 0.9475655838569516, 0.947586389328686, 0.9476123662177232, 0.9476257749652652, 0.9476225140041029, 0.9475815940269572, 0.9476009215354352, 0.9476232164476213, 0.947621750677194, 0.9476158500872303, 0.9476039181026985, 0.9475363099910568, 0.947577841424904, 0.9475793658856019, 0.9475707712520879, 0.9475160080869789, 0.9475360597146213, 0.9475554609278438, 0.9475465154059651, 0.9475346443472704, 0.9474866947272713, 0.9475068991470146, 0.9475153913291003, 0.9475081138654942, 0.9474977779555936, 0.947450411360749, 0.9474803165066462, 0.9475131307513319, 0.9475080754087206, 0.9474413803737936, 0.9474816979170684, 0.9475004073305328, 0.9474914837117869, 0.9474804026946049, 0.9474473657439062, 0.9474639481667637, 0.9474835281967449, 0.9474402417731506, 0.9474613355239254, 0.9474763674860852, 0.9474665324355441, 0.9473871649374391, 0.9474652925935103, 0.9474674804344176, 0.9474000505822108, 0.9474327812560716, 0.9474621457597461, 0.9474576553575721, 0.9474472734890674, 0.947366036764139, 0.9474353674436353, 0.9477029413168319, 0.9477694114352273, 0.947726565069445, 0.9477758350824229, 0.9477475164843575, 0.9477628364197728, 0.9477698065504081, 0.9477626347397107, 0.9476747252325755, 0.9477097592303813, 0.9477174920193566, 0.9476730695062564, 0.9476997644580575, 0.9477280314195391, 0.9477280661578423, 0.9477171398115216, 0.947705957557251, 0.9476285560027565, 0.9476606326526845, 0.947664624040387, 0.9476569536785353, 0.947585760059936, 0.9476011710115936, 0.9476056668779093, 0.9475762811016634, 0.947590180110716, 0.9476056111256466, 0.9476062562001571, 0.9474982490002356, 0.9475433547006132, 0.9475496389345238, 0.9475388815454269, 0.9475126048111965, 0.9475456863149133, 0.9475512125730958, 0.9475407848146292, 0.947495197854853, 0.9475234279082453, 0.9475560196878441, 0.9475469806781865, 0.9475060360721183, 0.9475369288346991, 0.9475394464038313, 0.9474857740477056, 0.9474990091547603, 0.9475037835001214, 0.9474954296160878, 0.9474836099613726, 0.9474122805589825, 0.9474439946634063, 0.9474573828593482, 0.9474589025143045, 0.9474151365379098, 0.9474407638576376, 0.9474494064461626, 0.947442512189194, 0.9474317944685055, 0.9473644228947076, 0.9474062635324493, 0.9474273058629313, 0.9474231455868793, 0.9474120979972938, 0.9472620873944426, 0.947292406337115, 0.9473461415090393, 0.947335944846419, 0.9472974138108005, 0.9473138238893497, 0.9473349112212146, 0.9473521163101615, 0.9473428125256842, 0.9473316875513279, 0.9472627552469312, 0.9472893798227501, 0.9473044443602595, 0.9472787406090308, 0.9472944651441466, 0.9473195679126328, 0.9473149141387616, 0.947315727100365, 0.9472630046803392, 0.9473029206694739, 0.9473108616212145, 0.9472998919361928, 0.9472859107347098, 0.9471952740900297, 0.947237676798373, 0.947252554299572, 0.9471960931443472, 0.9472441055897479, 0.9472621075081856, 0.9471816622148741, 0.947226532082675, 0.9472494661356701, 0.9472202767828773, 0.9472872770598356, 0.9473149394179227, 0.9472524707307663, 0.9472888930375832, 0.9473221751392412, 0.9473172936293124, 0.9472479266458879, 0.9472899163172928, 0.9472915695581207, 0.9472227496397064, 0.9472829042595026, 0.9472901081814356, 0.947279122247817, 0.94720333150876, 0.9472526237855795, 0.9472617755643934, 0.9472504481711179, 0.9472023039849535, 0.9472342205316807, 0.9473017430548322, 0.9473138013152432, 0.947304942304896, 0.9471964316996591, 0.9472491923016979, 0.9472664594289644, 0.9472553924576391, 0.9471780609165763, 0.9471917018305481, 0.9472213918122137, 0.9472166919926311, 0.9471725611797367, 0.9472471400834804, 0.9472600659915265, 0.9472522489367624, 0.947203246373277, 0.9472472479255678, 0.9472866811494495, 0.9472962963590723, 0.9472471499276347, 0.9472792305048645, 0.9473010537752145, 0.9472955431284272, 0.9472052277710027, 0.947222961805464, 0.9472583910005896, 0.9472473472611344, 0.9471857687437907, 0.947242371787824, 0.9472714144075867, 0.9472851228569845, 0.9472331977011671, 0.947285062464567, 0.9472848184342155, 0.9472711725556558, 0.9472046049350078, 0.9472588771233764, 0.947274078233715, 0.9472973077110792, 0.9472841726618705, 0.9472473054138555, 0.9472925277142664, 0.9473405737757635, 0.9473316745019431, 0.9473202428218952, 0.9472474246554394, 0.9472808158025218, 0.947300472913619, 0.9472937608110292, 0.9472222963543904, 0.9472550258937075, 0.9472678725236865, 0.9471392036084388, 0.9472005486105953, 0.9472030560650053, 0.9471265024124247, 0.9471304073927608, 0.9471869205960103, 0.9471907962462565, 0.947137338918168, 0.9471696248532755, 0.9471992383079754, 0.947192898917647, 0.9471051806237669, 0.9471883894235992, 0.9471906801355698, 0.9471790636003999, 0.9471672581709777, 0.9471038228528342, 0.9471358847874253, 0.9471557711724065, 0.9471054995073376, 0.9471549111994572, 0.9471764846498862, 0.9471690934571774, 0.9470862743932398, 0.9471128495313349, 0.9471071300809666, 0.9470506754271986, 0.9471129044548164, 0.9471353867799482, 0.9471244969151137, 0.9470882861522165, 0.9471198797325909, 0.9471361155537698, 0.9470918797415004, 0.9471426036885383, 0.947174124466615, 0.9471682063710634, 0.9471119630593072, 0.9471295438366784, 0.9471554697697425, 0.947147128112488, 0.947100018241373, 0.9471207792745822, 0.9471332935406198, 0.947119586354204, 0.9470607606715891, 0.9470817374901644, 0.9471136009497663, 0.9471135877886876, 0.947083520582022, 0.9471514319163866, 0.9471699649664446, 0.9471579912847781, 0.9471171908782227, 0.9471340142590235, 0.9471579348650002, 0.9471598426509554, 0.9470899282971119, 0.9471043036872888, 0.9471244822788791, 0.9471127828769004, 0.9470506753781237, 0.947088850009878, 0.947094355342637, 0.9470358485572447, 0.9471169531321033, 0.9471350908901232, 0.9471249462660957, 0.9471130601401945, 0.9470059861506022, 0.9470424509787266, 0.9470482547808068, 0.947019351998418, 0.9470507733658892, 0.9470652062977069, 0.9470556630131098, 0.9470121517866505, 0.9470735682511336, 0.9471084133151714, 0.9471082045205635, 0.9470443803382138, 0.9470801902985142, 0.9471142696368634, 0.9470749482930638, 0.9471007267530803, 0.9471144455495898, 0.9471016371716473, 0.947088489040183, 0.9470461897032355, 0.9470949222556894, 0.9471052007463003, 0.9470605118133688, 0.9470964911251204, 0.9471478858612512, 0.9471470728241852, 0.9471061511919359, 0.9471173195978854, 0.9471464875148934, 0.9470860750207183, 0.9471084113588903, 0.947132476010704, 0.9470940255425039, 0.947114625796655, 0.9471396296262692, 0.9471291635885772, 0.9470765602444172, 0.9471032127557873, 0.9471119017082169, 0.9471077175417191, 0.947101769549346, 0.9470634865017123, 0.9471032172313967, 0.9471177661868407, 0.9470684046510314, 0.9470938013982138, 0.9471162878076272, 0.9471153626879436, 0.9471041639675116, 0.9470508777361613, 0.9471071843272967, 0.947115920600776, 0.9470873928435589, 0.9471324624203868, 0.9471637424493168, 0.9471534374879903, 0.9470913236696565, 0.9471617021081619, 0.9471925201090817, 0.9471223190013156, 0.9471598062976232, 0.9471737249289458, 0.9471612021154998, 0.9470983042240771, 0.9471471399624931, 0.9471819577551388, 0.9471913588203449, 0.9471940781779236, 0.9471804584000398, 0.9471105728119785, 0.9471612944301782, 0.9471068227330836, 0.9471392827972607, 0.9471550313160504, 0.9470753043077444, 0.9471130833619573, 0.9472367557013998, 0.9471920082409915, 0.9472254451595191, 0.9472738894749098, 0.9472660509253288, 0.9472305291899623, 0.947266720919776, 0.9472598010929388, 0.9472478854912166, 0.9471621879523905, 0.9472160889376448, 0.9472329628177195, 0.9471917162598981, 0.9472228828299503, 0.9472300117355782, 0.9472171108863368, 0.947137053778775, 0.9471645412956381, 0.9471935128240853, 0.9471512036528381, 0.9471743505733676, 0.9471912027161914, 0.9471796259856348, 0.9471229213702268, 0.9471939734933499, 0.9471994101058769, 0.9471870733458133, 0.9471063211531485, 0.9471892092106772, 0.9472021770979675, 0.9471634229015277, 0.9472116166636544, 0.9472349152156166, 0.9472246709311876, 0.9472406971267074, 0.947133997883434, 0.9471707592078635, 0.9471860686761521, 0.9471797086031146, 0.947174183622069, 0.9470958029974532, 0.9471406315849287, 0.9471486491606987, 0.9471068613564959, 0.9471644290687629, 0.9472082537676882, 0.9472077124164401, 0.947139296983148, 0.9471823456455729, 0.947185050055279, 0.9471501831641209, 0.9471925871512143, 0.9471971507514779, 0.9471945026761183, 0.9471188360366442, 0.9471875715266651, 0.9472038402063576, 0.9471494911664354, 0.9471803473486534, 0.9472156453576254, 0.9472129916078663, 0.9471389291118234, 0.9471722678818455, 0.9471795245008101, 0.9471254515750478, 0.9471672743803143, 0.9471760051572105, 0.947163333570018, 0.9471233529162097, 0.9471552837032028, 0.9471624585780539, 0.9471558818356813, 0.9471053026484384, 0.9471427526721142, 0.9471573824896148, 0.9471509923509789, 0.9471168296686782, 0.9471506365378815, 0.9471637149844182, 0.9471510264056855, 0.9470647146707769, 0.9470972104818258, 0.9470952081394663, 0.9470535614987742, 0.9470884474299246, 0.9471022752562736, 0.9470623209765602, 0.9470917510904299, 0.9471098786747821, 0.9470960388900519, 0.9470259600744129, 0.9470471693809146, 0.9470564361088564, 0.9470113079342126, 0.9470315710889002, 0.947062895992719, 0.9469739028462008, 0.9470339272039238, 0.947031174929077, 0.9469796817883382, 0.9470238873611092, 0.9470461393992224, 0.9469601418880734, 0.9470472017370553, 0.947040574636963, 0.946981598505001, 0.9470296908448738, 0.9469464262932177, 0.9470067413480143, 0.9470494771822046, 0.9470498500539767, 0.9469832948940502, 0.9470224802006985, 0.9470318655116186, 0.9470184138696097, 0.946936775648786, 0.9469657150802565, 0.946967985677154, 0.9469596284598786, 0.9469471623107335, 0.9468697678739803, 0.9469184735378358, 0.9469446284996588, 0.946933171367693, 0.9468729450725315, 0.9469022516020957, 0.9469129673504939, 0.946845389873895, 0.9468697368695285, 0.9468951433969119, 0.9469245726338703, 0.9468687302952136, 0.9469242125739293, 0.9469323699398942, 0.946889002280229, 0.9469749385377059, 0.947026934307734, 0.9470142985681481, 0.9469461870911744, 0.9469609473036376, 0.9469750345534732, 0.9469612530651373, 0.9468742646874765, 0.9469046402852478, 0.9469103149795624, 0.9468479592051667, 0.9468755298751778, 0.9468945639061676, 0.9468814404270847, 0.9468283835181455, 0.9468469527965157, 0.9468574456383491, 0.9468448127605437, 0.9467857283094931, 0.9468133855833154, 0.9468282839679922, 0.9468215676316235, 0.9467447201860044, 0.9467791186550177, 0.9467915494123907, 0.9467791245294758, 0.9466574074167806, 0.9467446153721517, 0.9467828088263449, 0.9467787597348514, 0.9467206712637523, 0.9467513979546384, 0.9467743474298103, 0.9467658489240478, 0.9466575242962901, 0.946726858626915, 0.9467576875192779, 0.9467683860666688, 0.9466846709760063, 0.9467241922830113, 0.9467353934355799, 0.9467336447453308, 0.9466702232796673, 0.9467252542333027, 0.9468201305820556, 0.9468272845852835, 0.9468279429597679, 0.9467372463074335, 0.946748886970324, 0.946790637564618, 0.9467824359775396, 0.9467404161293237, 0.9467820574577941, 0.9467946518284426, 0.9467858475141483, 0.9467076831875147, 0.9467495766136297, 0.9467492425849531, 0.9466915460070205, 0.9467286230785572, 0.9467725047838622, 0.9467114326847011, 0.9468121595821177, 0.946864791180717, 0.9467943403783637, 0.946927669302785, 0.9471160469835574, 0.9471006762479693, 0.9471420186211088, 0.9471539107081173, 0.9471386665753547, 0.9471230294651272, 0.9471060101709627, 0.9469921389292087, 0.9470651422671141, 0.9470622654789124, 0.9470208405186112, 0.9470544152242139, 0.9470633802743479, 0.9470870004599226, 0.9470144936012181, 0.9470421517018323, 0.9470346908876596, 0.9469620312769775, 0.9470047071803079, 0.9470176070495209, 0.9469753015267576, 0.9469878735088211, 0.9469998490173546, 0.9469295620859449, 0.9469664507347566, 0.9469634653547517, 0.9469305161358141, 0.9469863225448247, 0.947005691673495, 0.9469363980412665, 0.9469713652326278, 0.9469734176761598, 0.9469588831984279, 0.946878127890329, 0.9469089357495464, 0.9469057494384943, 0.9468506664156746, 0.9469167448645915, 0.9469137801312394, 0.9469036852623378, 0.9468388611930681, 0.9469110423886851, 0.9469548175266085, 0.9468953450348029, 0.9469263864211075, 0.9469331905526801, 0.9469209925083684, 0.946842351158264, 0.9469018446381786, 0.9469411531670454, 0.946882537218264, 0.9469189277977531, 0.9469287332972, 0.946835935496007, 0.946862103620074, 0.9468711867705737, 0.9468556140236395, 0.9467670503922445, 0.946798510062438, 0.94679648833878, 0.9468089556240783, 0.9466896134343937, 0.9467412799168988, 0.9467319354540311, 0.9466368259024155, 0.946685479794033, 0.9466874978435634, 0.9466429692170562, 0.9466674582656426, 0.9466610663251754, 0.9466506386370559, 0.9465692701099443, 0.9465974874752481, 0.9466085202094658, 0.9466001600230398, 0.9465108006515746, 0.9465525957781042, 0.9465540086663896, 0.9465042568490845, 0.9465204617363792, 0.9465129573999121, 0.9464433989881347, 0.9464566414839651, 0.9464915356487158, 0.9464243270058986, 0.9464578248075509, 0.9464451113940374, 0.9463668217023773, 0.9463925638125216, 0.9464503982874624, 0.9464639195777658, 0.9463834690394982, 0.9464279453399599, 0.9464401184544803, 0.9463888233713091, 0.946440642997612, 0.9464612689198505, 0.9464528073157555, 0.94636023333403, 0.9463756761633971, 0.9464171711612548, 0.9462550678808971, 0.9462998592884013, 0.9462953633487122, 0.9462141916638083, 0.9462610408872557, 0.946263560329766, 0.9462480272447877, 0.9461911746608261, 0.9462466242631605, 0.9462188362268943, 0.9463005053168752, 0.9463119301515301, 0.946289141712974, 0.9462041411392863, 0.9462353979798475, 0.9462697171773866, 0.9462299079628106, 0.9463056493962605, 0.9463155887217567, 0.9462571484077557, 0.9463297439236741, 0.9463496440366644, 0.9463442328711703, 0.9462829940163987, 0.9463089727587694, 0.9463128957667307, 0.946297320970535, 0.9462265494705651, 0.946252929633814, 0.9462589080298525, 0.9462630435636784, 0.9461959368473586, 0.9462243720779615, 0.9462249126074692, 0.9461819352485755, 0.9462105277381172, 0.9462227278359109, 0.946212910749193, 0.9460650012823105, 0.9460851070081676, 0.9460749124724869, 0.9460196249064983, 0.946064380869581, 0.94608660794059, 0.9459979083816727, 0.9461092589356433, 0.9461058405014382, 0.9460340481056223, 0.9461015954737302, 0.9460797645776269, 0.9461365165411985, 0.9461664690883955, 0.9461523214114838, 0.9461334828454248, 0.946040200729677, 0.9460950177517361, 0.9461033382985917, 0.9459628467370639, 0.9460319060691191, 0.946030414407476, 0.946020369325868, 0.9460083667421998, 0.9459920161512343, 0.9459300542858489, 0.9460358091526576, 0.9460892711834018, 0.946119336747247, 0.9461096475761788, 0.9462501585251969, 0.9462848614997105, 0.9462423675796715, 0.9463047725498709, 0.9463243065301384, 0.9462331378350015, 0.946248307311258, 0.9462623909675896, 0.9462116636078323, 0.9462817298034567, 0.9462762550932329, 0.9462104166352063, 0.9462531272840939, 0.9462440457786343, 0.9461794220982426, 0.9462045762780924, 0.9462023363250684, 0.946147210370474, 0.946218740233145, 0.9462317296957409, 0.9461506916055132, 0.946182444633263, 0.9461930120946763, 0.9460979169057864, 0.9461597854499143, 0.9461784495802407, 0.9461030110134977, 0.9461705868466579, 0.9461903480750546, 0.9461752079247017, 0.94608409835255, 0.9461273394478126, 0.946118894670438, 0.9460545186918533, 0.9460944809611624, 0.9460907311983798, 0.9460802138279837, 0.9459752942721179, 0.9460048870245357, 0.9460203262714573, 0.9460026215423526, 0.9459381601690032, 0.9459781578756998, 0.945946555498051, 0.9459856129459737, 0.9459931058566959, 0.9459804353741174, 0.9458986039117128, 0.9459490024284558, 0.9459532516525299, 0.9459152532880194, 0.9459464936445855, 0.9459650252502668, 0.9458883350569264, 0.9459355173200589, 0.9459755637031124, 0.9458969424537921, 0.945917051662235, 0.9459142589572062, 0.9459003923212842, 0.9458245208255105, 0.9458340483696572, 0.9458378400440808, 0.945822000468325, 0.9458037778912279, 0.9456434784703983, 0.9456646061247389, 0.9456653963515714, 0.945593699471454, 0.9456240358818065, 0.9456246835588348, 0.9456125612682142, 0.9455954633665641, 0.9454684736772568, 0.9455379272545605, 0.9455428070290354, 0.9455003459871559, 0.9455455404397745, 0.9455423168239356, 0.9455325376537785, 0.9455155642023346, 0.9453786122305684, 0.945416210389224, 0.9454077039617657, 0.9453226651810421, 0.9454016561249121, 0.9453355383879027, 0.9454343052597676, 0.9454418256466302, 0.9454455650622182, 0.9453898742626057, 0.9454892270981474, 0.9455526698716178, 0.9454737559394, 0.9455129151654755, 0.9455027288639212, 0.9454207902483764, 0.9454540970162598, 0.9454665003744043, 0.9454503722405885, 0.945382096744301, 0.9454061169374525, 0.945392748871184, 0.9453355033943301, 0.9453947311400592, 0.9453997327147046, 0.9453131687298955, 0.9453408487339479, 0.9453423227371419, 0.9452681460560322, 0.9452958674068326, 0.9453058330327043, 0.9452487700241319, 0.9452600639742905, 0.945304261115805, 0.9452305300077748, 0.9453033071110327, 0.945240641175572, 0.9453040743241297, 0.9452955254551606, 0.9452217406471398, 0.9452682795786662, 0.945254452462903, 0.9452118662172725, 0.945239870211993, 0.9452545427335756, 0.9451247337039418, 0.9451611357434337, 0.9451919656260802, 0.9452063956790046, 0.9451231997815849, 0.945172845890935, 0.9451245828149502, 0.9451802088107712, 0.9452096089006203, 0.9451918374380117, 0.94510545417629, 0.945142022914088, 0.945164215269188, 0.9451472344317691, 0.9450898256135573, 0.9451169169197184, 0.9451475665611665, 0.945133579283181, 0.9451156926916857, 0.9450300109942529, 0.9450873062961332, 0.9450903609459979, 0.9450724276840379, 0.9449781480661966, 0.9450934878412063, 0.9450987620660479, 0.9450443558566004, 0.9451128291839354, 0.9451207548573165, 0.9450583877408213, 0.9451197190606412, 0.9451137162381829, 0.9450961489022572, 0.9449895872641357, 0.9450096821198367, 0.9450285734907088, 0.9450168764294684, 0.945005029791844, 0.9449868792139398, 0.9448781540903797, 0.9448895877840483, 0.9448807284375801, 0.9448711892266176, 0.9448611235186962, 0.9447858409007507, 0.9448096760133663, 0.944797257316073, 0.9447430495300542, 0.9448122616317223, 0.9447941838261388, 0.9446900119296308, 0.9447653965821855, 0.9447727539329797, 0.9447316212292558, 0.9447765342352605, 0.9447807835090303, 0.9447613874224201, 0.9446624649750017, 0.9447260249771311, 0.9447438012201189, 0.9446676018301237, 0.944681671418492, 0.9447279759437007, 0.9447632297354053, 0.9447347501888775, 0.9447786070501883, 0.9447751440153896, 0.9447569841330389, 0.9446708164542371, 0.9447435463187625, 0.944705512957852, 0.944760831319529, 0.9447648320077738, 0.9446686214371398, 0.944705387361307, 0.944734679074914, 0.9447301520046608, 0.9445970070013604, 0.9447053012054593, 0.9447245860089214, 0.9447029165487263, 0.9445833932633351, 0.9446833117264664, 0.9446950986259411, 0.9446767487939582, 0.9445737293637668, 0.9446372655018997, 0.9446715832032002, 0.94461360885261, 0.9446495453546876, 0.9446462670266866, 0.9446268262570828, 0.9445095215578386, 0.944517608103786, 0.9445268956839464, 0.9445104879118041, 0.9444048477172748, 0.9444549280093597, 0.9444565797776807, 0.9444080816314412, 0.9444592956221428, 0.9444784352178629, 0.9444012394352481, 0.9444630116486279, 0.9443888013206169, 0.9444657624517124, 0.944466222219208, 0.9444474597613497, 0.9443462681373176, 0.944405761782497, 0.9443685927845787, 0.944445428013842, 0.9445166546770432, 0.9444476287174113, 0.9445059573463016, 0.9445432418478483, 0.9444592636974355, 0.944543740129355, 0.9445298563756166, 0.9444556397718347, 0.9445092064084173, 0.9445497825400964, 0.9444806184938225, 0.9445667590210436, 0.9446204315533887, 0.9446365591634592, 0.9446513920091626, 0.9446994517457786, 0.9446801768911789, 0.9445917062111655, 0.9446782075706122, 0.944681826593491, 0.9446206557086919, 0.944655152858119, 0.9446485427381827, 0.9445934191353681, 0.9446201128465487, 0.9446062361820539, 0.9445877325079941, 0.9444406596324778, 0.9444844718423483, 0.9444416604723287, 0.9444605358435916, 0.944455124454623, 0.9444370122630992, 0.9443377261559079, 0.9443639075566878, 0.9443880929827062, 0.9443685839873095, 0.9442771527086562, 0.9443092966291474, 0.9443043436839775, 0.9442281603317635, 0.9443160174436149, 0.9443162814991836, 0.9441861708940488, 0.9442071869997001, 0.9441954413177415, 0.9441757832975431, 0.9441541434727388, 0.9441932681622546, 0.9441909021013056, 0.9441689271006511, 0.9440853588727744, 0.9441537010510598, 0.9441927972635373, 0.9441780909201609, 0.9441930960239103, 0.9441510033416354, 0.9441833604349886, 0.9441846006220165, 0.9441028753875526, 0.94411656792448, 0.9441222121213415, 0.9441015357596751, 0.9440268942244111, 0.9441119272752159, 0.9441106917808415, 0.944089160559779, 0.943999508378994, 0.9440389572696741, 0.9440500028605755, 0.9440288683867127, 0.9439550127153551, 0.9439688347873946, 0.9439630760230732, 0.9439418562787502, 0.9438722973409641, 0.9439342170675847, 0.9439248440839583, 0.9439138512153317, 0.9438321502686557, 0.9439126300319857, 0.9439257051267268, 0.9438783827256846, 0.9439179096399888, 0.9439425593875928, 0.9439305657063457, 0.9438324015233068, 0.9438859334853256, 0.9438721280804442, 0.9437420261288969, 0.9437846408963325, 0.9437202439361231, 0.9437629165097173, 0.9437719333981271, 0.9437495087579363, 0.9435684768482689, 0.9437202683591056, 0.9436599522720522, 0.9437068981922675, 0.9437111647748491, 0.943694449287061, 0.9436748727177867, 0.9435169997236773, 0.9435754009216861, 0.9434476700829155, 0.9435020251570658, 0.9434388672716859, 0.9434833846762737, 0.9434750556592164, 0.9434530847265247, 0.9433151055517447, 0.9433529078712172, 0.9433498413451559, 0.9432768368292277, 0.9433553366447228, 0.9433370976849238, 0.9432893177258619, 0.9433440954605645, 0.9434253518610866, 0.9434034479471967, 0.9433497941281375, 0.9434328774936431, 0.9433963391767256, 0.9434654381462176, 0.9434583268533694, 0.9433706808368517, 0.9434328662359301, 0.9433850491537752, 0.9434201760861346, 0.9433484029646457, 0.9433620523796926, 0.9433474278084194, 0.943246728206117, 0.9434043880816122, 0.9433549751870589, 0.9433932358690648, 0.943374058021354, 0.9432980180921301, 0.9433051139767508, 0.9433063334665165, 0.9432598651821555, 0.9433242250784659, 0.9433169592771158, 0.9432938870974102, 0.9432478725924306, 0.9433237622107774, 0.9433120051066158, 0.9432303376345035, 0.9432404116452103, 0.943237215424365, 0.9432123000390168, 0.9433503058250873, 0.9433281514829296, 0.9432131037276528, 0.9432722601168446, 0.9432019199696138, 0.9432568473472515, 0.9432465824399187, 0.9432239543877836, 0.9430894683851729, 0.9431600607153897, 0.9432114189529139, 0.9431669787611492, 0.9432088494484501, 0.9432174079234534, 0.9432091531487078, 0.9431189883427131, 0.9431612224369939, 0.9431629163806803, 0.9430585246460328, 0.9431037822842486, 0.9430925443853037, 0.9430270894516917, 0.9430987866561685, 0.9430855658507181, 0.9429920054033949, 0.9430521257944676, 0.9430416124736174, 0.94290590176886, 0.9429617584161633, 0.9429467535329131, 0.9429241876127555, 0.9427855472741291, 0.942805718173922, 0.9428018408314485, 0.9427054119236722, 0.942742260003521, 0.9426843721423636, 0.9427331504640492, 0.9427208125985542, 0.9426341497276932, 0.94264509978471, 0.9426552048660017, 0.9425444293441718, 0.9425754014419462, 0.9425538888827311, 0.9424629638734213, 0.9425000476006118, 0.9425324031081586, 0.9424144321860658, 0.9425296138186148, 0.9425353431445924, 0.9424823121195651, 0.9425449570163563, 0.9425882968574009, 0.942520711458157, 0.9425973905579947, 0.9425368644718652, 0.9426117581142194, 0.9426535122841859, 0.9425734252723122, 0.942695695155927, 0.9425990615098471, 0.9426742474808805, 0.9427375582721982, 0.9426866392848514, 0.942782044794544, 0.9428348927237227, 0.9428207812401708, 0.9427119274061265, 0.9428728513445772, 0.942864168928954, 0.9428005940860259, 0.9431779130761799, 0.9433278295536748, 0.9433246075425281, 0.9433492051364167, 0.9433675037691568, 0.9433397661408687, 0.9432584242199072, 0.943344485095116, 0.9433008530162315, 0.9433532597871972, 0.9433687401194163, 0.9433545787701392, 0.9432518475476516, 0.9433240150729821, 0.9433139344369732, 0.943253687083399, 0.9433264684887223, 0.9432632504333966, 0.9433330702861953, 0.9433655334400274, 0.9433620425800804, 0.9432567755379956, 0.9433034838015845, 0.9432768566736265, 0.9433594588613762, 0.9433656770791169, 0.9432398286547877, 0.9433398663682345, 0.943208634120986, 0.9432788851836899, 0.9432547129822485, 0.9431610810666808, 0.9431862098375512, 0.9431616489038139, 0.9431014347681015, 0.9431612190326124, 0.943136685072169, 0.9431742986812467, 0.9432007208785624, 0.943108082085116, 0.9431238492840641, 0.9430357972957779, 0.943100651803794, 0.9430104181556753, 0.9430928508090772, 0.9430050678266322, 0.9430551035584026, 0.9430050589023684, 0.9430702767700924, 0.9430451715369474, 0.9429349666165576, 0.9430114210898054, 0.9430223292246656, 0.9430590494348821, 0.9430358158044343, 0.9429553696761234, 0.9430097800508725, 0.9430203065114546, 0.9429305045355724, 0.943005163681369, 0.9429523957467366, 0.9429909431087868, 0.9429861284358522, 0.9429599098737173, 0.9428616442132988, 0.942921173513533, 0.942913709760362, 0.9428398795689474, 0.9429034158338472, 0.9428785473239998, 0.9428042502821593, 0.9428599954555157, 0.9428390845573736, 0.9427480784357017, 0.9428031989617526, 0.9427981428820551, 0.9426619199343719, 0.9427106511263067, 0.9427158765687043, 0.942613576212385, 0.9426640551202978, 0.942573313808492, 0.9426089165590754, 0.9425287756933614, 0.9425480945257498, 0.9425246857268444, 0.9425998481662143, 0.9425019099015942, 0.9425823762563276, 0.9425637543726408, 0.9424481372182857, 0.9424626774029436, 0.9424697061177495, 0.9423997834961505, 0.9424453095054734, 0.9423769993925896, 0.9424489580213856, 0.9424269233616135, 0.9423742148072232, 0.9423852770610597, 0.9423815779251506, 0.9423561332169845, 0.9422394109421739, 0.9423038438720304, 0.9423134506861329, 0.9423030221382395, 0.9422119563673551, 0.9423236462924375, 0.9422557841188727, 0.9423039948728904, 0.9422850181489173, 0.9422584852674944, 0.9421463257873313, 0.9422161090369947, 0.9421618673842496, 0.9422709479815943, 0.9422707207836145, 0.9421818162260234, 0.9422769550905454, 0.9423304382786181, 0.942224907484329, 0.9423702525496067, 0.9422847865299334, 0.9424235758255469, 0.942286003470214, 0.9423077270828549, 0.9422377442593508, 0.942285083897754, 0.9422657655943326, 0.9422107818061104, 0.9422564889985136, 0.9422298567140655, 0.9421229761688193, 0.9421704816821015, 0.9420901637850272, 0.9421738250296808, 0.9422071950427338, 0.9421473413494996, 0.9422174380267996, 0.9421873257181099, 0.9421123844014508, 0.9421440216893513, 0.9420226526224569, 0.9421311180267997, 0.9420529801324503, 0.9420957793970672, 0.9420846292521329, 0.9420399418076147, 0.9420896789011982, 0.9420469718711736, 0.9420951585513904, 0.9419981301663412, 0.9420618984462408, 0.9419658928538291, 0.9420666323781443, 0.9420289855072463, 0.9421124950959338, 0.9420516486462336, 0.9421139392584728, 0.9421054200925836, 0.9420198430769461, 0.9420645739575358, 0.9420992253739542, 0.9420323749083235, 0.9420439336222307, 0.9420269498365967, 0.9419337532686298, 0.9419926988804325, 0.9419899047561818, 0.9418475068897489, 0.9419284479218857, 0.9419278243663431, 0.9419015710991661, 0.9418061160705011, 0.9419418114200191, 0.9418455614098528, 0.9419231767404767, 0.9418445178338041, 0.9419046263345195, 0.9419056643543882, 0.941802796859573, 0.9418415417558886, 0.9418419970139249, 0.9417464801628253, 0.9418283288671049, 0.9417219910665117, 0.941776884091383, 0.9417796681546365, 0.9417493392576703, 0.9416678973017447, 0.9416586204844601, 0.9416686992611599, 0.941682071305865, 0.9415962810187913, 0.9416587505130246, 0.9415103604805376, 0.9415458180277734, 0.9414467220976714, 0.9415882187557564, 0.9414930093500065, 0.9415319484750296, 0.9414490959452331, 0.9414554250280444, 0.9414397474742554, 0.9414226838692572, 0.9412229583942191, 0.9412201041218147, 0.9411160286213476, 0.9411664295874822, 0.9411466788635681, 0.9410274415850854, 0.9410869770590922, 0.9410182751665546, 0.9411228542286074, 0.9409991182390086, 0.9410780238932224, 0.940994269170517, 0.9410836777658943, 0.9410108732147008, 0.941075088411222, 0.9410547963459821, 0.9409193645879257, 0.9410008124190326, 0.9409003021268852, 0.9409553343670285, 0.940888278204856, 0.9409530642798306, 0.940959661182812, 0.9408387775250895, 0.9408435572330486, 0.9408195883136803, 0.9408404749196886, 0.9407466582745279, 0.9407479093974579, 0.9407612255294374, 0.9407118463007623, 0.9407731316996143, 0.9407432613081205, 0.940578373745293, 0.9406419698891165, 0.9405421361753239, 0.9405672964302083, 0.940546335378915, 0.9404393899177165, 0.940451359451194, 0.9404188605814828, 0.9402081606865939, 0.9402200571795656, 0.9401732761774025, 0.9402292705495296, 0.940224625709542, 0.9400994938682572, 0.940159157324704, 0.9401130573610174, 0.9402043958542156, 0.9401794409993114, 0.9399628113923315, 0.9399743352284289, 0.9399425353025622, 0.9399105767611826, 0.9397891746318054, 0.9398127693628656, 0.9397351518515582, 0.9397625579928927, 0.939703764700473, 0.9397566173195281, 0.9397704564714745, 0.9398307799574124, 0.9397535802562312, 0.9398695936760485, 0.9398357974905691, 0.9396885521885522, 0.9397301406149324, 0.9396839181003048, 0.9397136795218431, 0.9396031863418345, 0.9396704646604745, 0.9395913476297443, 0.9396899855501739, 0.9396592477333, 0.9395404359443833, 0.9395722106981331, 0.9395218601325991, 0.9395978155572352, 0.9395573248543383, 0.9396314209188461, 0.9396792881605479, 0.9396084047624137, 0.9396401637485937, 0.9395346345853063, 0.9395562930661144, 0.9395311621840772, 0.9393903558658413, 0.9394670258268286, 0.939391132385191, 0.939461612747465, 0.9393129292571285, 0.9393127517823433, 0.9393096226161988, 0.9391457005090903, 0.9392025257909925, 0.9391363149117333, 0.9391685939373106, 0.9391558003352417, 0.9391369880617626, 0.9389928126664745, 0.9390704025342728, 0.938951680028037, 0.9390045832045608, 0.9388660294334101, 0.9389357614234399, 0.9387770853455766, 0.9388760286079341, 0.9388187052330642, 0.9388297872340425, 0.9387768652108384, 0.9388969604620877, 0.9388920300218401, 0.9389703549375525, 0.9389459569262738, 0.9389104237241073, 0.9389808280077799, 0.9389015911322263, 0.9389407697174376, 0.9389466457434288, 0.9388691814323762, 0.9389294219092765, 0.9388298526966823, 0.9388903443071873, 0.9385518758429079, 0.9386358208551692, 0.9385369464353415, 0.9385420994634824, 0.9384644978783593, 0.9384934159127708, 0.9383954089733703, 0.9384455102378969, 0.9382393804805831, 0.9382599282092189, 0.9381807309212749, 0.9382158607915551, 0.9381033334782439, 0.9381296248809436, 0.9380974962715546, 0.9378666182249642, 0.9379009813468139, 0.9380007648254033, 0.937961639540781, 0.9377935683112656, 0.937848559499439, 0.9376532911330724, 0.9377864988505213, 0.9377166493734908, 0.9377831477885954, 0.9376253037046719, 0.9376655285000958, 0.9376679707035723, 0.9375965110946815, 0.9376293535366779, 0.9376566724298693, 0.9375127701098406, 0.9375158624968275, 0.9374969137616836, 0.9374049217002237, 0.9375686414992953, 0.9374927735605523, 0.9375532766465878, 0.9375573009706902, 0.9374541391896306, 0.9375038490144154, 0.9374426528013884, 0.9375725176711773, 0.9374991091663222, 0.9379309032707625, 0.9378949698543536, 0.9379740081557986, 0.93787752998769, 0.9380706563264058, 0.9381386581958743, 0.9381480559518225, 0.9380940512196174, 0.9381493241752443, 0.9380197467721623, 0.9380973913210796, 0.9380532890461405, 0.9381764137695141, 0.938209410681444, 0.9382513555757096, 0.9381168305099092, 0.9382157620112489, 0.9381590389930647, 0.938292286172129, 0.9381420982994124, 0.9381729589750579, 0.9381185887832482, 0.9381907979737405, 0.9381397744722509, 0.9382485304249674, 0.9382106387712046, 0.9381674067006716, 0.9379979786482455, 0.9380980905292411, 0.9379851252840657, 0.9380205359428223, 0.9379143542545506, 0.9379493607172994, 0.9378685726003098, 0.937830671456477, 0.9379363828722356, 0.9378549999627785, 0.9381310402897104, 0.9380802259493702, 0.9381066240044587, 0.9382009322523456, 0.9381343957980718, 0.9382340376097075, 0.9381685403093699, 0.938206873077568, 0.9380543407625973, 0.938111558886671, 0.9380681732523255, 0.9379131065613413, 0.9379119646507548, 0.9378224739748988, 0.9378615418037052, 0.937755419641027, 0.9377514768926128, 0.9376534380262543, 0.9377014563230002, 0.9376153224453696, 0.9376495873233884, 0.9375957803200399, 0.9376589034325689, 0.9375776452971503, 0.9376046644610546, 0.9375634011912397, 0.9376502357742704, 0.9375768064886122, 0.9375278916240491, 0.9376153429551924, 0.9374647829342281, 0.9375645353582952, 0.9375265716913896, 0.9374650197694723, 0.9374998386842832, 0.9373982058374912, 0.9374318800208146, 0.9374643771308953, 0.937347183504384, 0.9373626601973017, 0.9372929484145764, 0.9373119880088684, 0.9372196841959871, 0.9372291547016133, 0.9373322987127334, 0.9372370156377567, 0.9372942652207729, 0.9371601478029015, 0.9371301697409218, 0.937258882714767, 0.9371476442880176, 0.9372101545754382, 0.9371229581990174, 0.9371658001369179, 0.9371986171104804, 0.9370016477961721, 0.9370319819006447, 0.9369297718289329, 0.9369947105158778, 0.9368945887936436, 0.9368503187947261, 0.9368984615055477, 0.9367594441392064, 0.936890586565879, 0.9369018697233669, 0.9367705379387534, 0.9367186531318565, 0.93683281941713, 0.9367066018834713, 0.9370249669777614, 0.936927923824397, 0.9370247960795168, 0.9369322119108116, 0.9369887080631826, 0.9369080620653222, 0.9369564802677299, 0.93682494340107, 0.93686132284575, 0.9367548009104679, 0.9366478889502899, 0.9366892055591041, 0.9367691510016768, 0.937144340229555, 0.9370563402880365, 0.9371738040983357, 0.9371262794473785, 0.9370453196011298, 0.9371110747042015, 0.9370057715040678, 0.9370415630906616, 0.9369640045151131, 0.9370143092242894, 0.9368851290337912, 0.9368544863896046, 0.9370019368926188, 0.9368434072962085, 0.936843970932866, 0.9367093603836514, 0.9367811875712464, 0.9366887799250072, 0.9367779331269139, 0.9367087890292968, 0.9368349706195975, 0.936737731272403, 0.936780825032974, 0.9367728133907591, 0.9367038817932808, 0.9368883563011784, 0.9367609166278208, 0.936852047972064, 0.9367474024633593, 0.9367586551207672, 0.9366045639190325, 0.9366746715963212, 0.9366067670950149, 0.9366909297582058, 0.9366022797867576, 0.9366377004381082, 0.9365472384394403, 0.9365522837931834, 0.9364022473607455, 0.9364161009434374, 0.9362621093249088, 0.9362406216896862, 0.9363085415540985, 0.9362420620533991, 0.9363115478482761, 0.9363309152357718, 0.9362622146731557, 0.9363306986740578, 0.9362513488005598, 0.9362725769337155, 0.9362010505012417, 0.9362251065912616, 0.9360641102952479, 0.9360640897445759, 0.936062554773917, 0.9360623435115635, 0.9359925485810564, 0.9360129915626094, 0.9359447210045323, 0.9359520049018296, 0.9358204773599752, 0.9358671463430641, 0.9358829676071055, 0.9357705411331162, 0.9358503224106071, 0.935884869140865, 0.9356700522423298, 0.9357063303332229, 0.9353791509342627, 0.9354642212066479, 0.9356018893510134, 0.9355285456566503, 0.9355826169428874, 0.9355055680507409, 0.9356920236539288, 0.9357016527413551, 0.9355284562789731, 0.9356417460929609, 0.9353951657751381, 0.9353976640198786, 0.9353537156609895, 0.9353963301000182, 0.9352773080198985, 0.9353337022073711, 0.9352760024141507, 0.935318790387034, 0.9351427914691649, 0.9351914318135891, 0.9351093236378125, 0.9350641253452544, 0.9351193633952255, 0.9351600600225084, 0.9351689753121604, 0.9351543115968168, 0.9353251483656231, 0.935338483022381, 0.9352522520818756, 0.9352078702768236, 0.935218539865514, 0.9352264748856715, 0.9351496048025597, 0.9351618653691216, 0.9351722429063369, 0.9351853029455156, 0.9350499138098591, 0.9352746783032531, 0.9352044042228425, 0.9352540520153803, 0.9352832597019127, 0.9352705943374177, 0.9351687645313878, 0.9352220093021464, 0.9351276809134392, 0.9351604579180046, 0.9350354609929078, 0.9350250300974414, 0.9351110249200039, 0.9350834765886775, 0.9351482275275526, 0.9351545038723427, 0.9352532022203361, 0.9352646312089057, 0.9353459791611007, 0.9352680391856228, 0.9352417165649102, 0.9353161601695081, 0.9352325075057869, 0.9353083830372944, 0.9352581931725749, 0.9353009958746091, 0.9352160943507303, 0.9351920808261881, 0.9351780377253924, 0.9352141523925934, 0.9352752307229374, 0.935219117169535, 0.9352149770792838, 0.9351942577947248, 0.9352699054433259, 0.9352204083670311, 0.935214580050701, 0.935116324848776, 0.9351013519159105, 0.9352220489933021, 0.9352160359333623, 0.9353053876945687, 0.9352069037361633, 0.9352263778865115, 0.9352159468438538, 0.9352302773580833, 0.9351597525583721, 0.9353258902752083, 0.9352735029712022, 0.935282247808319, 0.9352858908034272, 0.9352247630049947, 0.9350774071828962, 0.9350286628222223, 0.9350302252472121, 0.934961627565281, 0.9351170888890409, 0.9350321961912591, 0.9350442022144022, 0.935106620616183, 0.9350639076537842, 0.9354100541408628, 0.9354730766975187, 0.9354089042822463, 0.935647363872083, 0.9356663829080415, 0.935785918420369, 0.9357185984051967, 0.9363224678606059, 0.9362517356942255, 0.9363300968844389, 0.9361692461988447, 0.9359479603520825, 0.9359242552622975, 0.9357860875141376, 0.9357628405459328, 0.9356927519001317, 0.9356754765632195, 0.9354592235631939, 0.9354027532902353, 0.9354195570994974, 0.9354308950636016, 0.9353651301917675, 0.9353747826024721, 0.93535191440433, 0.9351024811218986, 0.9350672264671357, 0.9350484586578628, 0.9349934885264589, 0.9349989528190833, 0.9348469712763493, 0.9349236772597003, 0.9348469569128753, 0.9348486774023711, 0.9346102966097062, 0.9345704301723099, 0.9345474367369935, 0.9345712893380184, 0.9345633519536669, 0.9353539884835158, 0.9352585053816137, 0.9352739587060694, 0.9353681425868999, 0.9353916481435594, 0.9353766302999789, 0.9353516638256874, 0.9353191931408813, 0.9353755645352984, 0.9353226987661573, 0.9352585487906588, 0.9352821250601, 0.9352017016830242, 0.9349811466294218, 0.9349352578433284, 0.934909620684735, 0.9347061305048739, 0.9347708041087832, 0.9346794201278619, 0.9347698705226349, 0.9347272417642718, 0.9346446339864576, 0.9346670004627627, 0.9346632733414743, 0.9347177844719574, 0.9346356381051885, 0.9346060594490369, 0.9346405728507583, 0.9345643689123299, 0.9345926718928066, 0.9347850307153861, 0.934660633484163, 0.9346517096488185, 0.9345342723476259, 0.9346555638495783, 0.934575096326989, 0.9344442502282041, 0.9345092960945126, 0.9344894702012535, 0.9344464793671823, 0.9343769260175224, 0.9343751464317511, 0.9342835356912429, 0.9342421215504241, 0.9343755024884207, 0.9346887800586741, 0.934664318178244, 0.9345918491987502, 0.9345644731237083, 0.9345399555413414, 0.9344717967372308, 0.9346643546011687, 0.9345795875617904, 0.9346002621231979, 0.9345642053202613, 0.934428972688699, 0.9344932693918914, 0.934489387296728, 0.934501590349877, 0.9345036406892077, 0.9343598965943577, 0.9342777753203878, 0.9344109831709477, 0.9343960340171698, 0.9343306349424138, 0.9343621856378144, 0.9343905585821696, 0.9340732582570989, 0.9340523719721563, 0.9339950696292426, 0.933982232901006, 0.9341251462658233, 0.9340511605602168, 0.9342060984117865, 0.9341788903913099, 0.9342070072211821, 0.93413817390982, 0.9339793639062416, 0.9340426763229908, 0.93418524530427, 0.9341039934962587, 0.9341051459714538, 0.9340054384715646, 0.934002851497036, 0.9338717903696457, 0.9338440607012035, 0.9339878514506575, 0.9339171540001932, 0.933902949507855, 0.9338471446430752, 0.9339934828154575, 0.9340975663287271, 0.9339961616827723, 0.933950836890967, 0.9339784253197191, 0.9338696933912172, 0.9339664771204859, 0.9340038407984773, 0.9340016637160591, 0.9339742000564214, 0.9340474519403599, 0.9340151326895227, 0.934012482038304, 0.9339640467581101, 0.9338312848440493, 0.9338112007172321, 0.9337835505307672, 0.9337673952397205, 0.9335883517521325, 0.9335895144991022, 0.9335629857126102, 0.933533598902893, 0.9334773689494129, 0.9334795928624184, 0.9335291234090233, 0.933438270035164, 0.9334430763152697, 0.9333620477479695, 0.9332625578721548, 0.9332921692724987, 0.9331547611154576, 0.933184509968065, 0.9330684542306668, 0.9330348210037662, 0.9330360325040986, 0.9329535358225548, 0.9329853993035352, 0.9329839833961655, 0.9329679159989046, 0.9329516036243348, 0.9329562431376784, 0.9330137288738899, 0.9329511600613885, 0.9328702970521029, 0.9329080719621976, 0.9328209223397884, 0.932839861148392, 0.9329561566271102, 0.933003455500728, 0.9330556939688868, 0.9330805999670347, 0.9330900522168075, 0.9330132780121076, 0.9329749103942653, 0.9329064075668911, 0.9328296323597162, 0.9328280754842311, 0.9327359231373273, 0.9327825551973133, 0.9327784416715301, 0.9327045250085789, 0.9326600577889681, 0.93282811366047, 0.9327615604647479, 0.9326290015840455, 0.9326071998614511, 0.9326357831969173, 0.9328541448551402, 0.9327512190075844, 0.932759375868354, 0.9327930486303405, 0.9327652096688097, 0.932708591539968, 0.9326869307249755, 0.9326380618437348, 0.9326776890916002, 0.9325973105518268, 0.9325917134945261, 0.9327293902019932, 0.9326799009815822, 0.9327321635411581, 0.9327585628179739, 0.9327964734355192, 0.9326460778793261, 0.9326236862775333, 0.9325825883806692, 0.932600615753428, 0.9325961235995838, 0.9325389710763625, 0.9324463336050619, 0.9325862898405648, 0.9324565802735431, 0.9323808873453779, 0.9323507716056921, 0.9323913607376556, 0.9324375333964087, 0.9324974708037442, 0.9323734987202205, 0.9323224505691146, 0.9323018938850611, 0.9324120167422048, 0.9324904142340564, 0.932405922055734, 0.9322909152417578, 0.9323509044622796, 0.9322947843090307, 0.9322559198588332, 0.932191931736239, 0.9322034748666697, 0.9321624963557951, 0.9321269246649144, 0.9320124045415976, 0.9320432543977665, 0.9319256208407726, 0.9318458912460376, 0.9318599337428183, 0.9317049769321847, 0.9316942543655681, 0.9315998607213813, 0.9316558383287268, 0.9316419290226491, 0.9316953241128879, 0.9314646407299978, 0.9313886118016756, 0.9314207042187912, 0.9312628797749252, 0.9312417770428035, 0.9312197967005499, 0.9311218769392832, 0.9310928673331278, 0.9311128091863544, 0.9311051478527028, 0.9309857823886427, 0.9309884332281808, 0.9309763866585937, 0.9309435812538553, 0.9309953377368752, 0.9308654523125136, 0.9308945891911098, 0.9307981839640195, 0.930678929783708, 0.930614771375058, 0.9308350571118559, 0.9307203752891783, 0.930831406917932, 0.9308688926131237, 0.930861421609235, 0.9305528518590617, 0.9306744441974814, 0.9310816829800871, 0.9310406835445797, 0.9309595799722746, 0.9308696531997397, 0.930738066652413, 0.9307455803228286, 0.9306944306944307, 0.9306184510627046, 0.9305569360235895, 0.9305403462197888, 0.930394521611356, 0.9305510813903114, 0.930630114429715, 0.9305449498637207, 0.9304554880468623, 0.9304424253620632, 0.9304337587189091, 0.9303616163204781, 0.9303773946144404, 0.9303377256867992, 0.9302760800366373, 0.9301883160266791, 0.9300738959558552, 0.9299372835771673, 0.9298203606469525, 0.9298161470823342, 0.9298172377510407, 0.9297068538398018, 0.9296437103739777, 0.9297354509528712, 0.9297364251764367, 0.9295632226414658, 0.9294928954408069, 0.9294106043640457, 0.9294214722357809, 0.9293105757528112, 0.9293195091924313, 0.9292814192801921, 0.9291286015460295, 0.9290315389308678, 0.9289554869986778, 0.9289270790418457, 0.9288720439487893, 0.928854805001594, 0.9287597852564861, 0.9285870924533111, 0.9284929733837595, 0.928505587173586, 0.9284249800336151, 0.9283572819244873, 0.9282697140122054, 0.9281318602224061, 0.9281009219525681, 0.9282110561234933, 0.928197984695262, 0.928166682775952, 0.9282237264328009, 0.9281055665099348, 0.9282506032297865, 0.928379201169021, 0.9282678034530496, 0.9282649880828698, 0.9282404431793836, 0.9282436660327588, 0.9281271129141312, 0.9280716450269777, 0.9280317993284614, 0.9280816624314482, 0.9279937579728273, 0.9279573760730412, 0.9279377228842307, 0.9279588763177875, 0.9278470676963543, 0.9279028964966065, 0.9278889771810065, 0.9278520440458508, 0.9276501866727005, 0.9276944580862075, 0.9276682160178101, 0.9274539945217265, 0.9273747622067217, 0.9274120227612296, 0.9272618280838473, 0.9271986543614933, 0.9271894419885963, 0.9272754112459646, 0.9272236330322414, 0.9271695512428262, 0.9270884409920256, 0.926969559878498, 0.9270193976122031, 0.926972741246133, 0.9269912223139046, 0.9268681583297539, 0.9269725560257421, 0.9269017497338498, 0.9268433104350671, 0.9267317648600826, 0.9268585761750299, 0.9267339500243431, 0.9266916673806589, 0.926906261969859, 0.9268226530922754, 0.9268355722266772, 0.9268007700989179, 0.9267468693680213, 0.9267844174534116, 0.9266684463427656, 0.9266124392952225, 0.9265646153639934, 0.92657150147045, 0.9266043320328265, 0.926562889753322, 0.9265485590009254, 0.9263710223425863, 0.9262822035911884, 0.9262203664159515, 0.9261257578854145, 0.9260444674955983, 0.9259945444477108, 0.9259629677834786, 0.9258832249032364, 0.9259086096175795, 0.9259011786100529, 0.9258505279138776, 0.9257868939723887, 0.9257268710262768, 0.9255963742113702, 0.9255039439088519, 0.9255026307536848, 0.9254550405295017, 0.9252263798138538, 0.9252775165948609, 0.9254157437682382, 0.9254348576541288, 0.925336476367255, 0.9251981587674206, 0.9252693999872473, 0.9253664532723229, 0.9251420383663984, 0.925048563103468, 0.9249933815585177, 0.924753257007501, 0.9246966940187413, 0.9247076286758082, 0.9245778991001921, 0.9244768300095516, 0.9243399591144361, 0.924336299255493, 0.9241973797344759, 0.9241913918945577, 0.9242155814872839, 0.9241797264776662, 0.9242164697579015, 0.9242597272466053, 0.9241682721763329, 0.924056063015421, 0.9240597324637788, 0.9239479917725419, 0.9238758444186531, 0.9239411628756533, 0.924053375571561, 0.9239753806478698, 0.9242832988916024, 0.9241823662396382, 0.9246401994484947, 0.9249252205520427, 0.924755512361052, 0.9246675951929736, 0.9246621312425638, 0.9247519757861107, 0.924756054594752, 0.9246477576204071, 0.9246198690980688, 0.9246385300736812, 0.9244903951659017, 0.9244862244660916, 0.9244085445812674, 0.9243570700904418, 0.9244191936904289, 0.9243805105857914, 0.9241961263632945, 0.9242003109247656, 0.9243281526657485, 0.9243302497614372, 0.9241648089297855, 0.924267275190758, 0.9240946632782719, 0.9241698239358146, 0.9241759469032196, 0.9243575186707393, 0.9242690128769121, 0.9241743852574247, 0.9240222923780684, 0.9240560479119247, 0.9239597581604655, 0.9238405761837559, 0.9238099109719907, 0.9238630806845965, 0.9239365743274706, 0.9242727034464684, 0.9241078027229878, 0.9239948610676462, 0.9240056524721302, 0.9238356527721369, 0.9237132429354107, 0.9239013576244489, 0.9236455467567545, 0.9239882284880649, 0.9247531580629426, 0.9246264191017202, 0.9244089694591944, 0.9245628459302079, 0.9245007223591399, 0.9242970070512712, 0.9241207967444849, 0.9241562902533276, 0.9239356066805055, 0.92407129164292, 0.9239212356951652, 0.9239947126756644, 0.9239868411842934, 0.9240072265487967, 0.9240182503890075, 0.9238922614694661, 0.9237051440692947, 0.9235644512205932, 0.9237154079945968, 0.9236917374297196, 0.9238175267961704, 0.924325293642966, 0.9246115946198662, 0.9246585838554108, 0.9246282485875706, 0.9255848974445039, 0.9258710088237969, 0.9271560068670782, 0.9271615336726846, 0.9269472309828333, 0.9270667195235505, 0.9272844927201295, 0.9272112310614836, 0.9276514623145953, 0.9280005222760043, 0.9278308105126359, 0.9278537015166001, 0.927753974517984, 0.9277786153092376, 0.9277078823740701, 0.927616430568058, 0.9275048444089821, 0.9274790612583255, 0.9274476275995147, 0.9272819560033327, 0.9272060447209501, 0.9271015803961578, 0.9273436594692727, 0.9273915569326103, 0.9275761959782893, 0.927987066110873, 0.9278000195293429, 0.9282724822347463, 0.928508931468064, 0.9285897360067822, 0.9286427392331491, 0.9286592134475103, 0.9289072673233865, 0.9287373974091766, 0.9285971366871951, 0.928675341874768, 0.9289157232704403, 0.9291308384804812, 0.9287869398701708, 0.9286041936371698, 0.9288204561952377, 0.9289894654701522, 0.9288745159429843, 0.9289875431239284, 0.9289679744790156, 0.9289157127126919, 0.9290939023881966, 0.928919263485694, 0.928830547925098, 0.9287418917356154, 0.9285465723233963, 0.9284173574691253, 0.9284714416000339, 0.9284741868924294, 0.928297942685281, 0.9282052379780164, 0.928490132497262, 0.9284183777847168, 0.9285158865585244, 0.928429014151659, 0.9286389773579573, 0.9285963458771203, 0.9289800382827454, 0.9291098407961291, 0.9291924233909623, 0.9294289314850435, 0.9295948013928009, 0.9293526686269269, 0.9298928048466965, 0.9298568209084079, 0.9297331953567893, 0.9296001986590514, 0.929628497344792, 0.9293981218308738, 0.9293281786353735, 0.9291800578728855, 0.9290376607435789, 0.9288664419415331, 0.9288228302387574, 0.9289931922382253, 0.9288733539261909, 0.9288077156035969, 0.9286365336075535, 0.9285479863097191, 0.9285789875948027, 0.9287517697026899, 0.9287176756021066, 0.928592627767555, 0.9284140838026743, 0.9283564261825131, 0.9282726717081531, 0.9283352371791018, 0.9282879579257186, 0.9282956759569653, 0.9282470922468009, 0.9281877641499092, 0.9279243989619547, 0.9277566072526122, 0.9276949449356864, 0.927931384440209, 0.9277307377150945, 0.9277306733167082, 0.9279525192827808, 0.9275948537657984, 0.9273471767957202, 0.9272114467408585, 0.9270790764201062, 0.9268552506609852, 0.927098228663446, 0.9269182503848791, 0.9267247536066276, 0.9266802178615172, 0.926452709327407, 0.9266247654538059, 0.9272173592069184, 0.927262859714611, 0.9283242379874883, 0.9282680131441853, 0.9283999946367038, 0.9283724685460539, 0.9285077529850343, 0.9285898287620158, 0.9283955320335777, 0.9283645702420633, 0.9284343032663248, 0.9283679451715453, 0.9283780423792027, 0.9282573414157107, 0.928250184491569, 0.9283248305262423, 0.9281075090830025, 0.9280223029483822, 0.9283441966999872, 0.9282622578585114, 0.928126824960474, 0.9279329529039917, 0.9276398942893255, 0.9275899358373585, 0.9277162504524068, 0.9276474521089503, 0.9275449014429741, 0.9284080579421166, 0.9288123113172815, 0.9290309223466083, 0.9288450118764846, 0.9292224161334109, 0.9292089735525804, 0.9292513119708885, 0.9293490570311203, 0.9288543594292443, 0.9289905382157778, 0.9289041053638074, 0.9287594450637929, 0.9288636540406005, 0.9286350217890446, 0.9282938724140644, 0.9286052980969842, 0.9283662620011108, 0.9281514412734835, 0.9280879458499351, 0.927961124430785, 0.9278883558091287, 0.9284015378600287, 0.9282201750647477, 0.9283067955409923, 0.9286068828590337, 0.9283886618150401, 0.9281673925013766, 0.9279597821533305, 0.9276056243045486, 0.9274066548133096, 0.9271938775510205, 0.927010915053892, 0.9268409855191819, 0.9269811158058119, 0.9267451931404815, 0.9265678290526902, 0.9264425682171762, 0.9261281826163301, 0.9258148723013969, 0.9257966185800872, 0.9257643476557631, 0.9256065268732556, 0.925639596555258, 0.9255392174572781, 0.9255695742942724, 0.9257029211597059, 0.92566650775606, 0.9254776248641279, 0.9255082768581269, 0.9252637258367598, 0.9252492005012063, 0.9255589192035049, 0.9260590015128594, 0.9263604213408374, 0.9270905056996405, 0.9271650515305337, 0.9277269297006521, 0.9275170656761119, 0.9274370208105148, 0.9274065039050973, 0.9272845927185714, 0.9269785745518146, 0.9272730908436482, 0.9269758931982226, 0.9270580624292415, 0.92680299211318, 0.9267579123959164, 0.9265743617174481, 0.9268055325492794, 0.9273725522942675, 0.9273597581457843, 0.9278139259760013, 0.9277761251115549, 0.927946991557123, 0.9281398499150666, 0.9285343147867504, 0.9282581658702624, 0.927997188419804, 0.9279874491780096, 0.9281122800774039, 0.9281670284422763, 0.9278890670521015, 0.9279383692391601, 0.928189055636896, 0.9281731035118445, 0.9287272052340959, 0.9288749824872741, 0.9292010436499542, 0.929993607803215, 0.9302203567681008, 0.9349110998528383, 0.934926184926185, 0.9351881280101704, 0.9356641634863967, 0.9357773150902241, 0.93603214615519, 0.93600824079192, 0.9363102470635885, 0.9365079365079365, 0.9373055262684188, 0.9387448132780083, 0.938699220996497, 0.9389399404934305, 0.9388572186132839, 0.9388545925866538, 0.9388957984102093, 0.9390390063194596, 0.9391569240902354, 0.9398533683773689, 0.9402136025208444, 0.9400938492230746, 0.9406364228840214, 0.9413966512372135, 0.9435018467220684, 0.9436328716098242, 0.9452163440354845, 0.9467591214808643, 0.9486038892729404, 0.9487584238965454, 0.9496171516079632, 0.9506367457962414, 0.9506142046517428, 0.9509717592301402, 0.9520942825290651, 0.9520092512286789, 0.951838056680162, 0.9516677567037279, 0.9521185322069694, 0.9522905846317752, 0.9535243475921442, 0.9541997691315272, 0.954241645244216, 0.9542090336861037, 0.9553777342931022, 0.9564357833792275, 0.956907929939714, 0.9569257365122812, 0.9579115997961115, 0.9593947872183772, 0.9594850998921091, 0.9605099853322803, 0.9607537707533909, 0.9607353957165886, 0.9608871280975686, 0.9604870384917518, 0.9605524247956188, 0.9604218461785228, 0.9610252666585554, 0.960185799601858, 0.9601727246048715, 0.9597847275192813, 0.9594791398954853, 0.9590422998657835, 0.9588879159369527, 0.958423828730996, 0.9583856502242153, 0.9581745599709671, 0.9578609134725729, 0.9579613095238095, 0.9580584354382657, 0.9579434790910827, 0.9580835428350416, 0.9579478141675234, 0.9577541699761716, 0.9577068141815439, 0.9573076526933773, 0.9581633720322142, 0.9582670484674939, 0.9580532401183114, 0.9586334861383977, 0.9581696453272838, 0.9580690429413415, 0.9575291773413037, 0.9570289938777867, 0.9566236811254396, 0.9563768374694995, 0.9561827632056086, 0.956041257367387, 0.9573147799924784, 0.9570235286616081, 0.957136372479087, 0.9573738040250742, 0.9570412135857163, 0.9570950331352053, 0.9572173913043478, 0.9578074032052191, 0.9581556695815567, 0.9588707894154935, 0.9587466185752931, 0.9580939247682525, 0.9584017515051998, 0.9590288315629742, 0.9584150326797386, 0.9594718810061001, 0.9601675356868108, 0.9608923884514435, 0.9607053347654851, 0.9612175667002842, 0.9610328638497653, 0.9616681113358374, 0.9619452406839972, 0.961569661326303, 0.9624569819584942, 0.9620497427101201, 0.9624765478424016, 0.9628240109140518, 0.9636576787807737, 0.9631375392796713, 0.9625888514777403, 0.9631253223310985, 0.9630568151507068, 0.9635107118175535, 0.964004015488312, 0.9630622579684242, 0.9619018119869909, 0.9623829512431386, 0.9611176569601078, 0.961443661971831, 0.9628671716238685, 0.9633152173913043, 0.9624183006535948, 0.961853448275862, 0.9601185050136737, 0.9588477366255144, 0.9586776859504132, 0.9579529737206086, 0.9654447115384616, 0.9660906423214868, 0.9692527708258849, 0.9677546205269367, 0.9672059466550066, 0.9650418513047759, 0.964712578258395, 0.9600532623169108, 0.952, 0.9446122860020141, 0.9438202247191011, 0.9633867276887872, 0.9717514124293786], \\\"yaxis\\\": \\\"y\\\"}],                        {\\\"legend\\\": {\\\"title\\\": {\\\"text\\\": \\\"method\\\"}, \\\"tracegroupgap\\\": 0}, \\\"margin\\\": {\\\"t\\\": 60}, \\\"template\\\": {\\\"data\\\": {\\\"bar\\\": [{\\\"error_x\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"error_y\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"bar\\\"}], \\\"barpolar\\\": [{\\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"barpolar\\\"}], \\\"carpet\\\": [{\\\"aaxis\\\": {\\\"endlinecolor\\\": \\\"#2a3f5f\\\", \\\"gridcolor\\\": \\\"#C8D4E3\\\", \\\"linecolor\\\": \\\"#C8D4E3\\\", \\\"minorgridcolor\\\": \\\"#C8D4E3\\\", \\\"startlinecolor\\\": \\\"#2a3f5f\\\"}, \\\"baxis\\\": {\\\"endlinecolor\\\": \\\"#2a3f5f\\\", \\\"gridcolor\\\": \\\"#C8D4E3\\\", \\\"linecolor\\\": \\\"#C8D4E3\\\", \\\"minorgridcolor\\\": \\\"#C8D4E3\\\", \\\"startlinecolor\\\": \\\"#2a3f5f\\\"}, \\\"type\\\": \\\"carpet\\\"}], \\\"choropleth\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"choropleth\\\"}], \\\"contour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"contour\\\"}], \\\"contourcarpet\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"contourcarpet\\\"}], \\\"heatmap\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"heatmap\\\"}], \\\"heatmapgl\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"heatmapgl\\\"}], \\\"histogram\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"histogram\\\"}], \\\"histogram2d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"histogram2d\\\"}], \\\"histogram2dcontour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"histogram2dcontour\\\"}], \\\"mesh3d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"mesh3d\\\"}], \\\"parcoords\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"parcoords\\\"}], \\\"pie\\\": [{\\\"automargin\\\": true, \\\"type\\\": \\\"pie\\\"}], \\\"scatter\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatter\\\"}], \\\"scatter3d\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatter3d\\\"}], \\\"scattercarpet\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattercarpet\\\"}], \\\"scattergeo\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattergeo\\\"}], \\\"scattergl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattergl\\\"}], \\\"scattermapbox\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattermapbox\\\"}], \\\"scatterpolar\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterpolar\\\"}], \\\"scatterpolargl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterpolargl\\\"}], \\\"scatterternary\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterternary\\\"}], \\\"surface\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"surface\\\"}], \\\"table\\\": [{\\\"cells\\\": {\\\"fill\\\": {\\\"color\\\": \\\"#EBF0F8\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"header\\\": {\\\"fill\\\": {\\\"color\\\": \\\"#C8D4E3\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"type\\\": \\\"table\\\"}]}, \\\"layout\\\": {\\\"annotationdefaults\\\": {\\\"arrowcolor\\\": \\\"#2a3f5f\\\", \\\"arrowhead\\\": 0, \\\"arrowwidth\\\": 1}, \\\"coloraxis\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"colorscale\\\": {\\\"diverging\\\": [[0, \\\"#8e0152\\\"], [0.1, \\\"#c51b7d\\\"], [0.2, \\\"#de77ae\\\"], [0.3, \\\"#f1b6da\\\"], [0.4, \\\"#fde0ef\\\"], [0.5, \\\"#f7f7f7\\\"], [0.6, \\\"#e6f5d0\\\"], [0.7, \\\"#b8e186\\\"], [0.8, \\\"#7fbc41\\\"], [0.9, \\\"#4d9221\\\"], [1, \\\"#276419\\\"]], \\\"sequential\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"sequentialminus\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]]}, \\\"colorway\\\": [\\\"#636efa\\\", \\\"#EF553B\\\", \\\"#00cc96\\\", \\\"#ab63fa\\\", \\\"#FFA15A\\\", \\\"#19d3f3\\\", \\\"#FF6692\\\", \\\"#B6E880\\\", \\\"#FF97FF\\\", \\\"#FECB52\\\"], \\\"font\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"geo\\\": {\\\"bgcolor\\\": \\\"white\\\", \\\"lakecolor\\\": \\\"white\\\", \\\"landcolor\\\": \\\"white\\\", \\\"showlakes\\\": true, \\\"showland\\\": true, \\\"subunitcolor\\\": \\\"#C8D4E3\\\"}, \\\"hoverlabel\\\": {\\\"align\\\": \\\"left\\\"}, \\\"hovermode\\\": \\\"closest\\\", \\\"mapbox\\\": {\\\"style\\\": \\\"light\\\"}, \\\"paper_bgcolor\\\": \\\"white\\\", \\\"plot_bgcolor\\\": \\\"white\\\", \\\"polar\\\": {\\\"angularaxis\\\": {\\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"radialaxis\\\": {\\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\"}}, \\\"scene\\\": {\\\"xaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}, \\\"yaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}, \\\"zaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}}, \\\"shapedefaults\\\": {\\\"line\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}}, \\\"ternary\\\": {\\\"aaxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}, \\\"baxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"caxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}}, \\\"title\\\": {\\\"x\\\": 0.05}, \\\"xaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zerolinecolor\\\": \\\"#EBF0F8\\\", \\\"zerolinewidth\\\": 2}, \\\"yaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zerolinecolor\\\": \\\"#EBF0F8\\\", \\\"zerolinewidth\\\": 2}}}, \\\"title\\\": {\\\"text\\\": \\\"Precision-recall by method\\\"}, \\\"xaxis\\\": {\\\"anchor\\\": \\\"y\\\", \\\"domain\\\": [0.0, 1.0], \\\"range\\\": [0.5, 1], \\\"title\\\": {\\\"text\\\": \\\"recall\\\"}}, \\\"yaxis\\\": {\\\"anchor\\\": \\\"x\\\", \\\"domain\\\": [0.0, 1.0], \\\"range\\\": [0.5, 1], \\\"title\\\": {\\\"text\\\": \\\"precision\\\"}}},                        {\\\"responsive\\\": true}                    ).then(function(){\\n\",\n              \"                            \\n\",\n              \"var gd = document.getElementById('1c21d3a3-8b02-499d-8bc7-0f40d2bb75b2');\\n\",\n              \"var x = new MutationObserver(function (mutations, observer) {{\\n\",\n              \"        var display = window.getComputedStyle(gd).display;\\n\",\n              \"        if (!display || display === 'none') {{\\n\",\n              \"            console.log([gd, 'removed!']);\\n\",\n              \"            Plotly.purge(gd);\\n\",\n              \"            observer.disconnect();\\n\",\n              \"        }}\\n\",\n              \"}});\\n\",\n              \"\\n\",\n              \"// Listen for the removal of the full notebook cells\\n\",\n              \"var notebookContainer = gd.closest('#notebook-container');\\n\",\n              \"if (notebookContainer) {{\\n\",\n              \"    x.observe(notebookContainer, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"// Listen for the clearing of the current output cell\\n\",\n              \"var outputEl = gd.closest('.output');\\n\",\n              \"if (outputEl) {{\\n\",\n              \"    x.observe(outputEl, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"                        })                };                            </script>        </div>\\n\",\n              \"</body>\\n\",\n              \"</html>\"\n            ]\n          },\n          \"metadata\": {},\n          \"output_type\": \"display_data\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 206\n        },\n        \"id\": \"mLOljUevHki1\",\n        \"outputId\": \"9bbb9b12-ea7c-4fbd-f7da-911682b671b7\"\n      },\n      \"source\": [\n        \"method_comparison.groupby(\\\"method\\\")[['f1']].agg(max)\"\n      ],\n      \"execution_count\": null,\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>f1</th>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>method</th>\\n\",\n              \"      <th></th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>BLAST</th>\\n\",\n              \"      <td>0.902019</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>CNN</th>\\n\",\n              \"      <td>0.884862</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>Ensemble of BLAST  with  Ensembled-CNN</th>\\n\",\n              \"      <td>0.908158</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>Ensembled CNN</th>\\n\",\n              \"      <td>0.899472</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"                                              f1\\n\",\n              \"method                                          \\n\",\n              \"BLAST                                   0.902019\\n\",\n              \"CNN                                     0.884862\\n\",\n              \"Ensemble of BLAST  with  Ensembled-CNN  0.908158\\n\",\n              \"Ensembled CNN                           0.899472\"\n            ]\n          },\n          \"execution_count\": 34,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"bfV0tzotJ5PK\"\n      },\n      \"source\": [\n        \"As we hoped, this method seems to provide the best of both worlds, boosting recall compared to the ensembled CNN alone and boosting recall compared to BLAST alone, for a better F1.\"\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"Nz4dbIOk0M9a\"\n      },\n      \"source\": [\n        \"# Bootstrapping\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"6ZrJzUIVcjm6\"\n      },\n      \"source\": [\n        \"import collections\\n\",\n        \"\\n\",\n        \"THRESHOLD = 1e-3\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def get_bootstrapped_pr_curves(predictions_df,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               grouping=None,\\n\",\n        \"                               n=100,\\n\",\n        \"                               method_label=None,\\n\",\n        \"                               sample_with_replacement=True):\\n\",\n        \"\\n\",\n        \"    joined = predictions_df[predictions_df.value > THRESHOLD].merge(\\n\",\n        \"        ground_truth_df, on=['up_id', 'label'], how='outer')\\n\",\n        \"    print(joined.shape)\\n\",\n        \"    #joined.loc[joined['value'].isna(),'value']=0\\n\",\n        \"    #joined.loc[joined['gt'].isna(),'gt']=False\\n\",\n        \"    unique_up_ids = joined['up_id'].unique()\\n\",\n        \"\\n\",\n        \"    pr_samples = []\\n\",\n        \"    for _ in tqdm.tqdm(range(n)):\\n\",\n        \"        sampled_up_ids = np.random.choice(unique_up_ids, len(unique_up_ids),\\n\",\n        \"                                          sample_with_replacement)\\n\",\n        \"\\n\",\n        \"        count_by_sample = collections.Counter(sampled_up_ids)\\n\",\n        \"        count_by_sample_ordered = [count_by_sample[x] for x in joined.up_id]\\n\",\n        \"        print(len(sampled_up_ids), len(unique_up_ids),\\n\",\n        \"              sum(count_by_sample.values()), \\\"ee\\\")\\n\",\n        \"\\n\",\n        \"        joined_sampled = pd.DataFrame(np.repeat(joined.values,\\n\",\n        \"                                                count_by_sample_ordered,\\n\",\n        \"                                                axis=0),\\n\",\n        \"                                      columns=joined.columns)\\n\",\n        \"        print(joined_sampled.shape, joined.shape, \\\"cc\\\")\\n\",\n        \"        unique_suffixes_counter = collections.defaultdict(lambda: 0)\\n\",\n        \"        unique_suffixes = []\\n\",\n        \"        for row in joined_sampled.values:\\n\",\n        \"            lookup_key = (row[0], row[1])\\n\",\n        \"            unique_suffixes.append(unique_suffixes_counter[lookup_key])\\n\",\n        \"            unique_suffixes_counter[lookup_key] += 1\\n\",\n        \"\\n\",\n        \"        joined_sampled['up_id'] = [\\n\",\n        \"            f'{x}-{y}' for x, y in zip(joined_sampled.up_id, unique_suffixes)\\n\",\n        \"        ]\\n\",\n        \"\\n\",\n        \"        pred = joined_sampled[joined_sampled['value'].notna()][[\\n\",\n        \"            'up_id', 'label', 'value'\\n\",\n        \"        ]]\\n\",\n        \"        #return joined_sampled\\n\",\n        \"        gt = joined_sampled[joined_sampled['gt'].notna()][[\\n\",\n        \"            'up_id', 'label', 'gt'\\n\",\n        \"        ]]\\n\",\n        \"        print(pred.shape)\\n\",\n        \"\\n\",\n        \"        pr_curves = colab_evaluation.get_pr_curve_df(pred,\\n\",\n        \"                                                     gt,\\n\",\n        \"                                                     grouping=grouping)\\n\",\n        \"        pr_curves.loc[pr_curves['threshold'] == 0.0, 'precision'] = 0\\n\",\n        \"        pr_curves['type'] = method_label\\n\",\n        \"        pr_samples.append(pr_curves)\\n\",\n        \"    return pr_samples\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true,\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"id\": \"oiUrFouj0qKF\",\n        \"outputId\": \"a1fa6db8-33a1-4467-d034-9a3930ea4f70\"\n      },\n      \"source\": [\n        \"n = 100\\n\",\n        \"non_ensembled_prs = get_bootstrapped_pr_curves(predictions_df,\\n\",\n        \"                                               ground_truth_df,\\n\",\n        \"                                               n=n,\\n\",\n        \"                                               method_label=\\\"CNN\\\")\\n\",\n        \"ensembled_prs = get_bootstrapped_pr_curves(ens_predictions_df,\\n\",\n        \"                                           ground_truth_df,\\n\",\n        \"                                           n=n,\\n\",\n        \"                                           method_label=\\\"Ensemble\\\")\\n\",\n        \"blast_prs = get_bootstrapped_pr_curves(blast_df,\\n\",\n        \"                                       ground_truth_df,\\n\",\n        \"                                       n=n,\\n\",\n        \"                                       method_label=\\\"Blast\\\")\\n\",\n        \"blast_and_cnn_ensemble_prs = get_bootstrapped_pr_curves(\\n\",\n        \"    blast_and_cnn_ensemble,\\n\",\n        \"    ground_truth_df,\\n\",\n        \"    n=n,\\n\",\n        \"    method_label=\\\"Blast/CNN-ensemble\\\")\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"\\r  0%|          | 0/100 [00:00<?, ?it/s]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"(3408762, 4)\\n\",\n            \"53463 53463 53463 ee\\n\",\n            \"(3380141, 4) (3408762, 4) cc\\n\",\n            \"(3184444, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.22s/it]\\n\",\n            \"  1%|          | 1/100 [00:16<27:37, 16.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3404676, 4) (3408762, 4) cc\\n\",\n            \"(3203498, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.21s/it]\\n\",\n            \"  2%|▏         | 2/100 [00:33<27:20, 16.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408142, 4) (3408762, 4) cc\\n\",\n            \"(3203572, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.34s/it]\\n\",\n            \"  3%|▎         | 3/100 [00:50<27:03, 16.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3401447, 4) (3408762, 4) cc\\n\",\n            \"(3199101, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.21s/it]\\n\",\n            \"  4%|▍         | 4/100 [01:06<26:45, 16.73s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3427437, 4) (3408762, 4) cc\\n\",\n            \"(3224186, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.53s/it]\\n\",\n            \"  5%|▌         | 5/100 [01:24<26:40, 16.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3409742, 4) (3408762, 4) cc\\n\",\n            \"(3205232, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.53s/it]\\n\",\n            \"  6%|▌         | 6/100 [01:41<26:30, 16.92s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3427369, 4) (3408762, 4) cc\\n\",\n            \"(3221296, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.50s/it]\\n\",\n            \"  7%|▋         | 7/100 [01:58<26:24, 17.04s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3423608, 4) (3408762, 4) cc\\n\",\n            \"(3223052, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.46s/it]\\n\",\n            \"  8%|▊         | 8/100 [02:15<26:10, 17.07s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3385451, 4) (3408762, 4) cc\\n\",\n            \"(3187775, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.40s/it]\\n\",\n            \"  9%|▉         | 9/100 [02:32<25:49, 17.03s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3403049, 4) (3408762, 4) cc\\n\",\n            \"(3203287, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.78s/it]\\n\",\n            \" 10%|█         | 10/100 [02:49<25:44, 17.16s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3446963, 4) (3408762, 4) cc\\n\",\n            \"(3244460, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.67s/it]\\n\",\n            \" 11%|█         | 11/100 [03:07<25:33, 17.23s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3426944, 4) (3408762, 4) cc\\n\",\n            \"(3218038, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.68s/it]\\n\",\n            \" 12%|█▏        | 12/100 [03:24<25:22, 17.30s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408666, 4) (3408762, 4) cc\\n\",\n            \"(3206768, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.67s/it]\\n\",\n            \" 13%|█▎        | 13/100 [03:42<25:07, 17.32s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3417552, 4) (3408762, 4) cc\\n\",\n            \"(3216785, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.59s/it]\\n\",\n            \" 14%|█▍        | 14/100 [03:59<24:55, 17.39s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3412813, 4) (3408762, 4) cc\\n\",\n            \"(3205249, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.64s/it]\\n\",\n            \" 15%|█▌        | 15/100 [04:17<24:38, 17.39s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408806, 4) (3408762, 4) cc\\n\",\n            \"(3208521, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.82s/it]\\n\",\n            \" 16%|█▌        | 16/100 [04:34<24:28, 17.48s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3392522, 4) (3408762, 4) cc\\n\",\n            \"(3185752, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.51s/it]\\n\",\n            \" 17%|█▋        | 17/100 [04:52<24:04, 17.40s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3403578, 4) (3408762, 4) cc\\n\",\n            \"(3197155, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.75s/it]\\n\",\n            \" 18%|█▊        | 18/100 [05:09<23:46, 17.40s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3411369, 4) (3408762, 4) cc\\n\",\n            \"(3210608, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.78s/it]\\n\",\n            \" 19%|█▉        | 19/100 [05:27<23:37, 17.50s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3388873, 4) (3408762, 4) cc\\n\",\n            \"(3189564, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.50s/it]\\n\",\n            \" 20%|██        | 20/100 [05:44<23:12, 17.41s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3407847, 4) (3408762, 4) cc\\n\",\n            \"(3207924, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.65s/it]\\n\",\n            \" 21%|██        | 21/100 [06:01<22:52, 17.38s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3404294, 4) (3408762, 4) cc\\n\",\n            \"(3199320, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.56s/it]\\n\",\n            \" 22%|██▏       | 22/100 [06:18<22:33, 17.35s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3406326, 4) (3408762, 4) cc\\n\",\n            \"(3202948, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.63s/it]\\n\",\n            \" 23%|██▎       | 23/100 [06:36<22:16, 17.36s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3411921, 4) (3408762, 4) cc\\n\",\n            \"(3205767, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.59s/it]\\n\",\n            \" 24%|██▍       | 24/100 [06:53<21:59, 17.36s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408376, 4) (3408762, 4) cc\\n\",\n            \"(3206835, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.79s/it]\\n\",\n            \" 25%|██▌       | 25/100 [07:11<21:50, 17.47s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3377646, 4) (3408762, 4) cc\\n\",\n            \"(3174108, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.51s/it]\\n\",\n            \" 26%|██▌       | 26/100 [07:28<21:29, 17.43s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3422022, 4) (3408762, 4) cc\\n\",\n            \"(3220894, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.56s/it]\\n\",\n            \" 27%|██▋       | 27/100 [07:46<21:12, 17.42s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3419294, 4) (3408762, 4) cc\\n\",\n            \"(3213576, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.71s/it]\\n\",\n            \" 28%|██▊       | 28/100 [08:03<20:56, 17.45s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3411871, 4) (3408762, 4) cc\\n\",\n            \"(3207277, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.53s/it]\\n\",\n            \" 29%|██▉       | 29/100 [08:21<20:37, 17.42s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3405720, 4) (3408762, 4) cc\\n\",\n            \"(3201785, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.70s/it]\\n\",\n            \" 30%|███       | 30/100 [08:38<20:18, 17.40s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3418048, 4) (3408762, 4) cc\\n\",\n            \"(3207835, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.83s/it]\\n\",\n            \" 31%|███       | 31/100 [08:56<20:05, 17.47s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3405809, 4) (3408762, 4) cc\\n\",\n            \"(3205316, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.62s/it]\\n\",\n            \" 32%|███▏      | 32/100 [09:13<19:44, 17.41s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3425346, 4) (3408762, 4) cc\\n\",\n            \"(3220374, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.80s/it]\\n\",\n            \" 33%|███▎      | 33/100 [09:30<19:27, 17.43s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3420731, 4) (3408762, 4) cc\\n\",\n            \"(3212187, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.69s/it]\\n\",\n            \" 34%|███▍      | 34/100 [09:48<19:14, 17.50s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3406861, 4) (3408762, 4) cc\\n\",\n            \"(3202269, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.70s/it]\\n\",\n            \" 35%|███▌      | 35/100 [10:05<18:57, 17.50s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3450990, 4) (3408762, 4) cc\\n\",\n            \"(3246386, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.69s/it]\\n\",\n            \" 36%|███▌      | 36/100 [10:23<18:37, 17.47s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3401076, 4) (3408762, 4) cc\\n\",\n            \"(3194017, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.78s/it]\\n\",\n            \" 37%|███▋      | 37/100 [10:40<18:21, 17.48s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3420865, 4) (3408762, 4) cc\\n\",\n            \"(3212913, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.70s/it]\\n\",\n            \" 38%|███▊      | 38/100 [10:58<18:04, 17.48s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3389311, 4) (3408762, 4) cc\\n\",\n            \"(3190775, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.54s/it]\\n\",\n            \" 39%|███▉      | 39/100 [11:15<17:40, 17.38s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3415583, 4) (3408762, 4) cc\\n\",\n            \"(3213542, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.56s/it]\\n\",\n            \" 40%|████      | 40/100 [11:32<17:24, 17.40s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3410877, 4) (3408762, 4) cc\\n\",\n            \"(3208677, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.82s/it]\\n\",\n            \" 41%|████      | 41/100 [11:50<17:10, 17.46s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3387703, 4) (3408762, 4) cc\\n\",\n            \"(3186152, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.60s/it]\\n\",\n            \" 42%|████▏     | 42/100 [12:07<16:49, 17.40s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3385436, 4) (3408762, 4) cc\\n\",\n            \"(3192903, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.74s/it]\\n\",\n            \" 43%|████▎     | 43/100 [12:25<16:34, 17.45s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3414581, 4) (3408762, 4) cc\\n\",\n            \"(3213073, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.82s/it]\\n\",\n            \" 44%|████▍     | 44/100 [12:43<16:22, 17.54s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3402105, 4) (3408762, 4) cc\\n\",\n            \"(3194959, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.77s/it]\\n\",\n            \" 45%|████▌     | 45/100 [13:00<16:06, 17.58s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3383332, 4) (3408762, 4) cc\\n\",\n            \"(3184576, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.66s/it]\\n\",\n            \" 46%|████▌     | 46/100 [13:18<15:47, 17.55s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408373, 4) (3408762, 4) cc\\n\",\n            \"(3205586, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.80s/it]\\n\",\n            \" 47%|████▋     | 47/100 [13:36<15:34, 17.64s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3414705, 4) (3408762, 4) cc\\n\",\n            \"(3209040, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.70s/it]\\n\",\n            \" 48%|████▊     | 48/100 [13:53<15:17, 17.65s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3421567, 4) (3408762, 4) cc\\n\",\n            \"(3216025, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.82s/it]\\n\",\n            \" 49%|████▉     | 49/100 [14:11<15:01, 17.67s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3439327, 4) (3408762, 4) cc\\n\",\n            \"(3234158, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.91s/it]\\n\",\n            \" 50%|█████     | 50/100 [14:29<14:46, 17.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3420469, 4) (3408762, 4) cc\\n\",\n            \"(3219733, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.89s/it]\\n\",\n            \" 51%|█████     | 51/100 [14:47<14:34, 17.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3376742, 4) (3408762, 4) cc\\n\",\n            \"(3179129, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.66s/it]\\n\",\n            \" 52%|█████▏    | 52/100 [15:05<14:11, 17.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3387850, 4) (3408762, 4) cc\\n\",\n            \"(3186004, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  4.00s/it]\\n\",\n            \" 53%|█████▎    | 53/100 [15:22<13:54, 17.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3432723, 4) (3408762, 4) cc\\n\",\n            \"(3226563, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.98s/it]\\n\",\n            \" 54%|█████▍    | 54/100 [15:41<13:43, 17.91s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408844, 4) (3408762, 4) cc\\n\",\n            \"(3206295, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.89s/it]\\n\",\n            \" 55%|█████▌    | 55/100 [15:58<13:26, 17.91s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3419129, 4) (3408762, 4) cc\\n\",\n            \"(3216486, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:04<00:00,  4.06s/it]\\n\",\n            \" 56%|█████▌    | 56/100 [16:16<13:08, 17.93s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3377476, 4) (3408762, 4) cc\\n\",\n            \"(3176354, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.80s/it]\\n\",\n            \" 57%|█████▋    | 57/100 [16:34<12:45, 17.80s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3407940, 4) (3408762, 4) cc\\n\",\n            \"(3206894, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.99s/it]\\n\",\n            \" 58%|█████▊    | 58/100 [16:52<12:31, 17.90s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3406543, 4) (3408762, 4) cc\\n\",\n            \"(3202294, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.82s/it]\\n\",\n            \" 59%|█████▉    | 59/100 [17:10<12:10, 17.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3389381, 4) (3408762, 4) cc\\n\",\n            \"(3184284, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.69s/it]\\n\",\n            \" 60%|██████    | 60/100 [17:27<11:50, 17.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3396951, 4) (3408762, 4) cc\\n\",\n            \"(3196099, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.84s/it]\\n\",\n            \" 61%|██████    | 61/100 [17:45<11:33, 17.78s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3426171, 4) (3408762, 4) cc\\n\",\n            \"(3225601, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.90s/it]\\n\",\n            \" 62%|██████▏   | 62/100 [18:03<11:17, 17.84s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408728, 4) (3408762, 4) cc\\n\",\n            \"(3208150, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:04<00:00,  4.04s/it]\\n\",\n            \" 63%|██████▎   | 63/100 [18:21<11:01, 17.88s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3412387, 4) (3408762, 4) cc\\n\",\n            \"(3204603, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.66s/it]\\n\",\n            \" 64%|██████▍   | 64/100 [18:39<10:39, 17.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3428523, 4) (3408762, 4) cc\\n\",\n            \"(3215241, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.95s/it]\\n\",\n            \" 65%|██████▌   | 65/100 [18:56<10:22, 17.78s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3418081, 4) (3408762, 4) cc\\n\",\n            \"(3210184, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.68s/it]\\n\",\n            \" 66%|██████▌   | 66/100 [19:14<10:02, 17.73s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3373910, 4) (3408762, 4) cc\\n\",\n            \"(3177941, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.58s/it]\\n\",\n            \" 67%|██████▋   | 67/100 [19:31<09:42, 17.65s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3404230, 4) (3408762, 4) cc\\n\",\n            \"(3202557, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.72s/it]\\n\",\n            \" 68%|██████▊   | 68/100 [19:49<09:24, 17.63s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408077, 4) (3408762, 4) cc\\n\",\n            \"(3206733, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.71s/it]\\n\",\n            \" 69%|██████▉   | 69/100 [20:07<09:08, 17.68s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3418936, 4) (3408762, 4) cc\\n\",\n            \"(3215446, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.75s/it]\\n\",\n            \" 70%|███████   | 70/100 [20:25<08:50, 17.68s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3418827, 4) (3408762, 4) cc\\n\",\n            \"(3215627, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.75s/it]\\n\",\n            \" 71%|███████   | 71/100 [20:42<08:32, 17.66s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3413757, 4) (3408762, 4) cc\\n\",\n            \"(3206735, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.69s/it]\\n\",\n            \" 72%|███████▏  | 72/100 [21:00<08:13, 17.61s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3406838, 4) (3408762, 4) cc\\n\",\n            \"(3203120, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.81s/it]\\n\",\n            \" 73%|███████▎  | 73/100 [21:17<07:56, 17.64s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3413244, 4) (3408762, 4) cc\\n\",\n            \"(3205967, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.74s/it]\\n\",\n            \" 74%|███████▍  | 74/100 [21:35<07:39, 17.66s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408163, 4) (3408762, 4) cc\\n\",\n            \"(3208614, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.86s/it]\\n\",\n            \" 75%|███████▌  | 75/100 [21:53<07:22, 17.68s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3405391, 4) (3408762, 4) cc\\n\",\n            \"(3203070, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.82s/it]\\n\",\n            \" 76%|███████▌  | 76/100 [22:11<07:05, 17.71s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3417911, 4) (3408762, 4) cc\\n\",\n            \"(3214960, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:04<00:00,  4.05s/it]\\n\",\n            \" 77%|███████▋  | 77/100 [22:29<06:55, 18.06s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3409840, 4) (3408762, 4) cc\\n\",\n            \"(3203204, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.92s/it]\\n\",\n            \" 78%|███████▊  | 78/100 [22:47<06:36, 18.04s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3414686, 4) (3408762, 4) cc\\n\",\n            \"(3212354, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.71s/it]\\n\",\n            \" 79%|███████▉  | 79/100 [23:05<06:15, 17.90s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3396247, 4) (3408762, 4) cc\\n\",\n            \"(3193322, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.67s/it]\\n\",\n            \" 80%|████████  | 80/100 [23:23<05:55, 17.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3407889, 4) (3408762, 4) cc\\n\",\n            \"(3209058, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.70s/it]\\n\",\n            \" 81%|████████  | 81/100 [23:40<05:37, 17.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3428316, 4) (3408762, 4) cc\\n\",\n            \"(3225861, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.75s/it]\\n\",\n            \" 82%|████████▏ | 82/100 [23:58<05:18, 17.69s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3417104, 4) (3408762, 4) cc\\n\",\n            \"(3216154, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.70s/it]\\n\",\n            \" 83%|████████▎ | 83/100 [24:16<05:01, 17.71s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3407509, 4) (3408762, 4) cc\\n\",\n            \"(3205742, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.77s/it]\\n\",\n            \" 84%|████████▍ | 84/100 [24:33<04:43, 17.71s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3422471, 4) (3408762, 4) cc\\n\",\n            \"(3221537, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.93s/it]\\n\",\n            \" 85%|████████▌ | 85/100 [24:51<04:26, 17.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3438664, 4) (3408762, 4) cc\\n\",\n            \"(3231270, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.81s/it]\\n\",\n            \" 86%|████████▌ | 86/100 [25:09<04:07, 17.69s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3429846, 4) (3408762, 4) cc\\n\",\n            \"(3218789, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.82s/it]\\n\",\n            \" 87%|████████▋ | 87/100 [25:26<03:50, 17.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3414051, 4) (3408762, 4) cc\\n\",\n            \"(3207710, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.71s/it]\\n\",\n            \" 88%|████████▊ | 88/100 [25:44<03:32, 17.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3405390, 4) (3408762, 4) cc\\n\",\n            \"(3205234, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.81s/it]\\n\",\n            \" 89%|████████▉ | 89/100 [26:02<03:14, 17.67s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408565, 4) (3408762, 4) cc\\n\",\n            \"(3204612, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.69s/it]\\n\",\n            \" 90%|█████████ | 90/100 [26:20<02:57, 17.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3434476, 4) (3408762, 4) cc\\n\",\n            \"(3236376, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.94s/it]\\n\",\n            \" 91%|█████████ | 91/100 [26:38<02:40, 17.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3403244, 4) (3408762, 4) cc\\n\",\n            \"(3197685, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.76s/it]\\n\",\n            \" 92%|█████████▏| 92/100 [26:55<02:22, 17.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3420780, 4) (3408762, 4) cc\\n\",\n            \"(3209787, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.73s/it]\\n\",\n            \" 93%|█████████▎| 93/100 [27:13<02:04, 17.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3434391, 4) (3408762, 4) cc\\n\",\n            \"(3230689, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.71s/it]\\n\",\n            \" 94%|█████████▍| 94/100 [27:31<01:46, 17.71s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3401864, 4) (3408762, 4) cc\\n\",\n            \"(3201003, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.78s/it]\\n\",\n            \" 95%|█████████▌| 95/100 [27:48<01:28, 17.73s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3414637, 4) (3408762, 4) cc\\n\",\n            \"(3214243, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.77s/it]\\n\",\n            \" 96%|█████████▌| 96/100 [28:06<01:10, 17.70s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3427412, 4) (3408762, 4) cc\\n\",\n            \"(3218666, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.89s/it]\\n\",\n            \" 97%|█████████▋| 97/100 [28:24<00:53, 17.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3423056, 4) (3408762, 4) cc\\n\",\n            \"(3217356, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.83s/it]\\n\",\n            \" 98%|█████████▊| 98/100 [28:42<00:35, 17.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3426153, 4) (3408762, 4) cc\\n\",\n            \"(3223776, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.69s/it]\\n\",\n            \" 99%|█████████▉| 99/100 [28:59<00:17, 17.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"53463 53463 53463 ee\\n\",\n            \"(3408522, 4) (3408762, 4) cc\\n\",\n            \"(3205968, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.98s/it]\\n\",\n            \"100%|██████████| 100/100 [29:17<00:00, 17.77s/it]\\n\",\n            \"  0%|          | 0/100 [00:00<?, ?it/s]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"(6409569, 4)\\n\",\n            \"54056 54056 54056 ee\\n\",\n            \"(6413350, 4) (6409569, 4) cc\\n\",\n            \"(6332138, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.71s/it]\\n\",\n            \"  1%|          | 1/100 [00:36<1:00:01, 36.38s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6380270, 4) (6409569, 4) cc\\n\",\n            \"(6297874, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.54s/it]\\n\",\n            \"  2%|▏         | 2/100 [01:14<1:00:19, 36.93s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6435236, 4) (6409569, 4) cc\\n\",\n            \"(6354176, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.72s/it]\\n\",\n            \"  3%|▎         | 3/100 [01:51<59:36, 36.87s/it]  \"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6463356, 4) (6409569, 4) cc\\n\",\n            \"(6380860, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.84s/it]\\n\",\n            \"  4%|▍         | 4/100 [02:28<58:58, 36.86s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6431648, 4) (6409569, 4) cc\\n\",\n            \"(6348236, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.64s/it]\\n\",\n            \"  5%|▌         | 5/100 [03:04<58:10, 36.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6429455, 4) (6409569, 4) cc\\n\",\n            \"(6345954, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.68s/it]\\n\",\n            \"  6%|▌         | 6/100 [03:40<57:18, 36.58s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6410419, 4) (6409569, 4) cc\\n\",\n            \"(6327422, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.98s/it]\\n\",\n            \"  7%|▋         | 7/100 [04:17<56:41, 36.58s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6394790, 4) (6409569, 4) cc\\n\",\n            \"(6313216, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.95s/it]\\n\",\n            \"  8%|▊         | 8/100 [04:53<56:04, 36.57s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6472173, 4) (6409569, 4) cc\\n\",\n            \"(6389793, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.06s/it]\\n\",\n            \"  9%|▉         | 9/100 [05:31<55:45, 36.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6443904, 4) (6409569, 4) cc\\n\",\n            \"(6362581, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.90s/it]\\n\",\n            \" 10%|█         | 10/100 [06:07<55:02, 36.70s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6387778, 4) (6409569, 4) cc\\n\",\n            \"(6305990, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.45s/it]\\n\",\n            \" 11%|█         | 11/100 [06:43<54:04, 36.45s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6421910, 4) (6409569, 4) cc\\n\",\n            \"(6340872, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.93s/it]\\n\",\n            \" 12%|█▏        | 12/100 [07:20<53:32, 36.51s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6401665, 4) (6409569, 4) cc\\n\",\n            \"(6320091, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.70s/it]\\n\",\n            \" 13%|█▎        | 13/100 [07:57<53:12, 36.69s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6402665, 4) (6409569, 4) cc\\n\",\n            \"(6319140, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.97s/it]\\n\",\n            \" 14%|█▍        | 14/100 [08:34<52:36, 36.71s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6395533, 4) (6409569, 4) cc\\n\",\n            \"(6316212, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.17s/it]\\n\",\n            \" 15%|█▌        | 15/100 [09:09<51:33, 36.39s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6373751, 4) (6409569, 4) cc\\n\",\n            \"(6290848, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.65s/it]\\n\",\n            \" 16%|█▌        | 16/100 [09:45<50:47, 36.28s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6375040, 4) (6409569, 4) cc\\n\",\n            \"(6297668, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.47s/it]\\n\",\n            \" 17%|█▋        | 17/100 [10:21<50:00, 36.15s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6435371, 4) (6409569, 4) cc\\n\",\n            \"(6351978, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.91s/it]\\n\",\n            \" 18%|█▊        | 18/100 [10:58<49:32, 36.25s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6413595, 4) (6409569, 4) cc\\n\",\n            \"(6332527, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.36s/it]\\n\",\n            \" 19%|█▉        | 19/100 [11:35<49:14, 36.47s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6448517, 4) (6409569, 4) cc\\n\",\n            \"(6365301, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.81s/it]\\n\",\n            \" 20%|██        | 20/100 [12:11<48:45, 36.56s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6407388, 4) (6409569, 4) cc\\n\",\n            \"(6325223, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.64s/it]\\n\",\n            \" 21%|██        | 21/100 [12:49<48:22, 36.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6453083, 4) (6409569, 4) cc\\n\",\n            \"(6367868, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.94s/it]\\n\",\n            \" 22%|██▏       | 22/100 [13:26<47:51, 36.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6414775, 4) (6409569, 4) cc\\n\",\n            \"(6334909, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.36s/it]\\n\",\n            \" 23%|██▎       | 23/100 [14:03<47:26, 36.97s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6378145, 4) (6409569, 4) cc\\n\",\n            \"(6296615, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.13s/it]\\n\",\n            \" 24%|██▍       | 24/100 [14:40<46:46, 36.93s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6405773, 4) (6409569, 4) cc\\n\",\n            \"(6322321, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.21s/it]\\n\",\n            \" 25%|██▌       | 25/100 [15:17<46:08, 36.91s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6395810, 4) (6409569, 4) cc\\n\",\n            \"(6314948, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.17s/it]\\n\",\n            \" 26%|██▌       | 26/100 [15:53<45:26, 36.84s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6381021, 4) (6409569, 4) cc\\n\",\n            \"(6300239, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.19s/it]\\n\",\n            \" 27%|██▋       | 27/100 [16:30<44:55, 36.93s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6410330, 4) (6409569, 4) cc\\n\",\n            \"(6328003, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.06s/it]\\n\",\n            \" 28%|██▊       | 28/100 [17:07<44:14, 36.87s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6393729, 4) (6409569, 4) cc\\n\",\n            \"(6314030, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.47s/it]\\n\",\n            \" 29%|██▉       | 29/100 [17:45<43:54, 37.11s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6423490, 4) (6409569, 4) cc\\n\",\n            \"(6339584, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.92s/it]\\n\",\n            \" 30%|███       | 30/100 [18:23<43:50, 37.58s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6390530, 4) (6409569, 4) cc\\n\",\n            \"(6310885, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.13s/it]\\n\",\n            \" 31%|███       | 31/100 [19:01<43:09, 37.52s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6462940, 4) (6409569, 4) cc\\n\",\n            \"(6380295, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.82s/it]\\n\",\n            \" 32%|███▏      | 32/100 [19:39<42:46, 37.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6368076, 4) (6409569, 4) cc\\n\",\n            \"(6289438, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.64s/it]\\n\",\n            \" 33%|███▎      | 33/100 [20:15<41:38, 37.29s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6409525, 4) (6409569, 4) cc\\n\",\n            \"(6330274, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.83s/it]\\n\",\n            \" 34%|███▍      | 34/100 [20:52<40:47, 37.09s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6442352, 4) (6409569, 4) cc\\n\",\n            \"(6361984, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.18s/it]\\n\",\n            \" 35%|███▌      | 35/100 [21:29<40:13, 37.13s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6385500, 4) (6409569, 4) cc\\n\",\n            \"(6305992, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.91s/it]\\n\",\n            \" 36%|███▌      | 36/100 [22:06<39:25, 36.96s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6404081, 4) (6409569, 4) cc\\n\",\n            \"(6321368, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.50s/it]\\n\",\n            \" 37%|███▋      | 37/100 [22:42<38:33, 36.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6391201, 4) (6409569, 4) cc\\n\",\n            \"(6312593, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.78s/it]\\n\",\n            \" 38%|███▊      | 38/100 [23:18<37:52, 36.66s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6397936, 4) (6409569, 4) cc\\n\",\n            \"(6317149, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.43s/it]\\n\",\n            \" 39%|███▉      | 39/100 [23:55<37:20, 36.73s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6381033, 4) (6409569, 4) cc\\n\",\n            \"(6300119, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.11s/it]\\n\",\n            \" 40%|████      | 40/100 [24:32<36:47, 36.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6423060, 4) (6409569, 4) cc\\n\",\n            \"(6338957, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.69s/it]\\n\",\n            \" 41%|████      | 41/100 [25:10<36:28, 37.09s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6438215, 4) (6409569, 4) cc\\n\",\n            \"(6356458, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.25s/it]\\n\",\n            \" 42%|████▏     | 42/100 [25:47<35:54, 37.15s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6440270, 4) (6409569, 4) cc\\n\",\n            \"(6357540, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.13s/it]\\n\",\n            \" 43%|████▎     | 43/100 [26:24<35:16, 37.14s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6464817, 4) (6409569, 4) cc\\n\",\n            \"(6380797, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.13s/it]\\n\",\n            \" 44%|████▍     | 44/100 [27:02<34:50, 37.32s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6419669, 4) (6409569, 4) cc\\n\",\n            \"(6336570, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.79s/it]\\n\",\n            \" 45%|████▌     | 45/100 [27:39<33:58, 37.06s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6443261, 4) (6409569, 4) cc\\n\",\n            \"(6360543, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.52s/it]\\n\",\n            \" 46%|████▌     | 46/100 [28:16<33:25, 37.14s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6402802, 4) (6409569, 4) cc\\n\",\n            \"(6319526, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.59s/it]\\n\",\n            \" 47%|████▋     | 47/100 [28:52<32:36, 36.91s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6383190, 4) (6409569, 4) cc\\n\",\n            \"(6300186, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.95s/it]\\n\",\n            \" 48%|████▊     | 48/100 [29:29<31:53, 36.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6372224, 4) (6409569, 4) cc\\n\",\n            \"(6290276, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.68s/it]\\n\",\n            \" 49%|████▉     | 49/100 [30:05<31:05, 36.58s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6408214, 4) (6409569, 4) cc\\n\",\n            \"(6328150, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.08s/it]\\n\",\n            \" 50%|█████     | 50/100 [30:41<30:28, 36.58s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6423801, 4) (6409569, 4) cc\\n\",\n            \"(6344782, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.70s/it]\\n\",\n            \" 51%|█████     | 51/100 [31:18<29:49, 36.51s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6412355, 4) (6409569, 4) cc\\n\",\n            \"(6329023, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.72s/it]\\n\",\n            \" 52%|█████▏    | 52/100 [31:54<29:11, 36.48s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6401678, 4) (6409569, 4) cc\\n\",\n            \"(6319062, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.56s/it]\\n\",\n            \" 53%|█████▎    | 53/100 [32:32<28:49, 36.80s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6426297, 4) (6409569, 4) cc\\n\",\n            \"(6345924, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:13<00:00, 13.13s/it]\\n\",\n            \" 54%|█████▍    | 54/100 [33:10<28:29, 37.16s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6398055, 4) (6409569, 4) cc\\n\",\n            \"(6316510, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.77s/it]\\n\",\n            \" 55%|█████▌    | 55/100 [33:47<27:57, 37.27s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6410382, 4) (6409569, 4) cc\\n\",\n            \"(6328298, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.82s/it]\\n\",\n            \" 56%|█████▌    | 56/100 [34:25<27:23, 37.36s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6404456, 4) (6409569, 4) cc\\n\",\n            \"(6325277, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.87s/it]\\n\",\n            \" 57%|█████▋    | 57/100 [35:01<26:35, 37.11s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6400904, 4) (6409569, 4) cc\\n\",\n            \"(6319960, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.94s/it]\\n\",\n            \" 58%|█████▊    | 58/100 [35:38<25:49, 36.89s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6439924, 4) (6409569, 4) cc\\n\",\n            \"(6357598, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.51s/it]\\n\",\n            \" 59%|█████▉    | 59/100 [36:15<25:18, 37.04s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6387982, 4) (6409569, 4) cc\\n\",\n            \"(6307938, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.32s/it]\\n\",\n            \" 60%|██████    | 60/100 [36:52<24:41, 37.04s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6409607, 4) (6409569, 4) cc\\n\",\n            \"(6328400, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.48s/it]\\n\",\n            \" 61%|██████    | 61/100 [37:29<23:55, 36.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6365729, 4) (6409569, 4) cc\\n\",\n            \"(6282956, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.11s/it]\\n\",\n            \" 62%|██████▏   | 62/100 [38:05<23:17, 36.78s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6414235, 4) (6409569, 4) cc\\n\",\n            \"(6330509, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.12s/it]\\n\",\n            \" 63%|██████▎   | 63/100 [38:42<22:43, 36.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6393943, 4) (6409569, 4) cc\\n\",\n            \"(6312455, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.06s/it]\\n\",\n            \" 64%|██████▍   | 64/100 [39:19<22:03, 36.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6437326, 4) (6409569, 4) cc\\n\",\n            \"(6356194, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.13s/it]\\n\",\n            \" 65%|██████▌   | 65/100 [39:56<21:28, 36.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6424436, 4) (6409569, 4) cc\\n\",\n            \"(6340070, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.32s/it]\\n\",\n            \" 66%|██████▌   | 66/100 [40:33<20:55, 36.94s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6440810, 4) (6409569, 4) cc\\n\",\n            \"(6358170, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.09s/it]\\n\",\n            \" 67%|██████▋   | 67/100 [41:10<20:17, 36.89s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6342208, 4) (6409569, 4) cc\\n\",\n            \"(6263852, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.39s/it]\\n\",\n            \" 68%|██████▊   | 68/100 [41:47<19:39, 36.86s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6415734, 4) (6409569, 4) cc\\n\",\n            \"(6332435, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.29s/it]\\n\",\n            \" 69%|██████▉   | 69/100 [42:24<19:08, 37.05s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6399245, 4) (6409569, 4) cc\\n\",\n            \"(6316676, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.11s/it]\\n\",\n            \" 70%|███████   | 70/100 [43:01<18:28, 36.96s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6445565, 4) (6409569, 4) cc\\n\",\n            \"(6362636, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.10s/it]\\n\",\n            \" 71%|███████   | 71/100 [43:38<17:52, 36.99s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6392969, 4) (6409569, 4) cc\\n\",\n            \"(6310838, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.15s/it]\\n\",\n            \" 72%|███████▏  | 72/100 [44:15<17:15, 36.99s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6351346, 4) (6409569, 4) cc\\n\",\n            \"(6270878, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.18s/it]\\n\",\n            \" 73%|███████▎  | 73/100 [44:52<16:37, 36.93s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6444723, 4) (6409569, 4) cc\\n\",\n            \"(6364377, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.17s/it]\\n\",\n            \" 74%|███████▍  | 74/100 [45:29<16:03, 37.04s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6398009, 4) (6409569, 4) cc\\n\",\n            \"(6317548, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.50s/it]\\n\",\n            \" 75%|███████▌  | 75/100 [46:06<15:27, 37.11s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6434502, 4) (6409569, 4) cc\\n\",\n            \"(6353776, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.31s/it]\\n\",\n            \" 76%|███████▌  | 76/100 [46:43<14:50, 37.10s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6413583, 4) (6409569, 4) cc\\n\",\n            \"(6334272, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.64s/it]\\n\",\n            \" 77%|███████▋  | 77/100 [47:21<14:15, 37.18s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6377684, 4) (6409569, 4) cc\\n\",\n            \"(6299265, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.66s/it]\\n\",\n            \" 78%|███████▊  | 78/100 [47:58<13:41, 37.34s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6416545, 4) (6409569, 4) cc\\n\",\n            \"(6339967, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.56s/it]\\n\",\n            \" 79%|███████▉  | 79/100 [48:35<12:59, 37.10s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6451139, 4) (6409569, 4) cc\\n\",\n            \"(6371282, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.38s/it]\\n\",\n            \" 80%|████████  | 80/100 [49:12<12:23, 37.16s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6387065, 4) (6409569, 4) cc\\n\",\n            \"(6306231, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.11s/it]\\n\",\n            \" 81%|████████  | 81/100 [49:49<11:43, 37.00s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6391084, 4) (6409569, 4) cc\\n\",\n            \"(6310435, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.76s/it]\\n\",\n            \" 82%|████████▏ | 82/100 [50:25<11:02, 36.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6392941, 4) (6409569, 4) cc\\n\",\n            \"(6312815, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.80s/it]\\n\",\n            \" 83%|████████▎ | 83/100 [51:01<10:22, 36.62s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6376491, 4) (6409569, 4) cc\\n\",\n            \"(6295569, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.62s/it]\\n\",\n            \" 84%|████████▍ | 84/100 [51:37<09:43, 36.46s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6479154, 4) (6409569, 4) cc\\n\",\n            \"(6398896, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.73s/it]\\n\",\n            \" 85%|████████▌ | 85/100 [52:14<09:09, 36.62s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6377964, 4) (6409569, 4) cc\\n\",\n            \"(6299097, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.24s/it]\\n\",\n            \" 86%|████████▌ | 86/100 [52:51<08:34, 36.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6438829, 4) (6409569, 4) cc\\n\",\n            \"(6357389, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.11s/it]\\n\",\n            \" 87%|████████▋ | 87/100 [53:29<08:00, 36.99s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6497515, 4) (6409569, 4) cc\\n\",\n            \"(6414671, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.38s/it]\\n\",\n            \" 88%|████████▊ | 88/100 [54:07<07:26, 37.21s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6432064, 4) (6409569, 4) cc\\n\",\n            \"(6352054, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.96s/it]\\n\",\n            \" 89%|████████▉ | 89/100 [54:43<06:47, 37.05s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6397938, 4) (6409569, 4) cc\\n\",\n            \"(6314143, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.28s/it]\\n\",\n            \" 90%|█████████ | 90/100 [55:20<06:10, 37.04s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6402538, 4) (6409569, 4) cc\\n\",\n            \"(6322817, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.84s/it]\\n\",\n            \" 91%|█████████ | 91/100 [55:57<05:32, 36.90s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6400399, 4) (6409569, 4) cc\\n\",\n            \"(6319449, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.87s/it]\\n\",\n            \" 92%|█████████▏| 92/100 [56:33<04:54, 36.77s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6439807, 4) (6409569, 4) cc\\n\",\n            \"(6358058, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.96s/it]\\n\",\n            \" 93%|█████████▎| 93/100 [57:11<04:18, 36.96s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6360985, 4) (6409569, 4) cc\\n\",\n            \"(6280005, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.62s/it]\\n\",\n            \" 94%|█████████▍| 94/100 [57:47<03:39, 36.66s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6448207, 4) (6409569, 4) cc\\n\",\n            \"(6368466, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.00s/it]\\n\",\n            \" 95%|█████████▌| 95/100 [58:24<03:03, 36.70s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6395671, 4) (6409569, 4) cc\\n\",\n            \"(6314708, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.41s/it]\\n\",\n            \" 96%|█████████▌| 96/100 [59:00<02:26, 36.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6458894, 4) (6409569, 4) cc\\n\",\n            \"(6376555, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.91s/it]\\n\",\n            \" 97%|█████████▋| 97/100 [59:37<01:50, 36.80s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6454241, 4) (6409569, 4) cc\\n\",\n            \"(6374153, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.48s/it]\\n\",\n            \" 98%|█████████▊| 98/100 [1:00:15<01:13, 36.96s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6415664, 4) (6409569, 4) cc\\n\",\n            \"(6335678, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:12<00:00, 12.19s/it]\\n\",\n            \" 99%|█████████▉| 99/100 [1:00:52<00:36, 36.92s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"54056 54056 54056 ee\\n\",\n            \"(6401263, 4) (6409569, 4) cc\\n\",\n            \"(6319454, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:11<00:00, 11.95s/it]\\n\",\n            \"100%|██████████| 100/100 [1:01:29<00:00, 37.09s/it]\\n\",\n            \"  0%|          | 0/100 [00:00<?, ?it/s]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"(2812124, 8)\\n\",\n            \"52579 52579 52579 ee\\n\",\n            \"(2794821, 8) (2812124, 8) cc\\n\",\n            \"(2586295, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.70s/it]\\n\",\n            \"  1%|          | 1/100 [00:15<26:09, 15.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2827511, 8) (2812124, 8) cc\\n\",\n            \"(2606792, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.65s/it]\\n\",\n            \"  2%|▏         | 2/100 [00:31<25:43, 15.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2817858, 8) (2812124, 8) cc\\n\",\n            \"(2600895, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.76s/it]\\n\",\n            \"  3%|▎         | 3/100 [00:47<25:38, 15.86s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2802142, 8) (2812124, 8) cc\\n\",\n            \"(2589633, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.70s/it]\\n\",\n            \"  4%|▍         | 4/100 [01:03<25:22, 15.86s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2812662, 8) (2812124, 8) cc\\n\",\n            \"(2601876, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \"  5%|▌         | 5/100 [01:19<25:22, 16.03s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2816094, 8) (2812124, 8) cc\\n\",\n            \"(2596483, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.80s/it]\\n\",\n            \"  6%|▌         | 6/100 [01:36<25:14, 16.12s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2810821, 8) (2812124, 8) cc\\n\",\n            \"(2597550, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.75s/it]\\n\",\n            \"  7%|▋         | 7/100 [01:52<25:01, 16.14s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2833226, 8) (2812124, 8) cc\\n\",\n            \"(2610955, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \"  8%|▊         | 8/100 [02:08<24:51, 16.22s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2803065, 8) (2812124, 8) cc\\n\",\n            \"(2588960, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \"  9%|▉         | 9/100 [02:25<24:42, 16.29s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2790946, 8) (2812124, 8) cc\\n\",\n            \"(2580606, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.78s/it]\\n\",\n            \" 10%|█         | 10/100 [02:41<24:30, 16.34s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2799981, 8) (2812124, 8) cc\\n\",\n            \"(2584176, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.91s/it]\\n\",\n            \" 11%|█         | 11/100 [02:58<24:24, 16.46s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2799150, 8) (2812124, 8) cc\\n\",\n            \"(2582087, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.84s/it]\\n\",\n            \" 12%|█▏        | 12/100 [03:14<24:03, 16.41s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2818551, 8) (2812124, 8) cc\\n\",\n            \"(2603054, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.80s/it]\\n\",\n            \" 13%|█▎        | 13/100 [03:31<23:47, 16.41s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2798638, 8) (2812124, 8) cc\\n\",\n            \"(2586994, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 14%|█▍        | 14/100 [03:47<23:32, 16.43s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2799178, 8) (2812124, 8) cc\\n\",\n            \"(2586485, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 15%|█▌        | 15/100 [04:03<23:10, 16.36s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2811822, 8) (2812124, 8) cc\\n\",\n            \"(2604439, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.77s/it]\\n\",\n            \" 16%|█▌        | 16/100 [04:19<22:49, 16.31s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2810005, 8) (2812124, 8) cc\\n\",\n            \"(2600677, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.80s/it]\\n\",\n            \" 17%|█▋        | 17/100 [04:36<22:33, 16.31s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2809322, 8) (2812124, 8) cc\\n\",\n            \"(2595991, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 18%|█▊        | 18/100 [04:52<22:14, 16.28s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2812810, 8) (2812124, 8) cc\\n\",\n            \"(2595373, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 19%|█▉        | 19/100 [05:08<22:03, 16.34s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2811176, 8) (2812124, 8) cc\\n\",\n            \"(2596700, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \" 20%|██        | 20/100 [05:25<21:44, 16.30s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2811625, 8) (2812124, 8) cc\\n\",\n            \"(2596666, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \" 21%|██        | 21/100 [05:41<21:28, 16.31s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2816411, 8) (2812124, 8) cc\\n\",\n            \"(2595254, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.76s/it]\\n\",\n            \" 22%|██▏       | 22/100 [05:57<21:07, 16.26s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2803373, 8) (2812124, 8) cc\\n\",\n            \"(2590028, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 23%|██▎       | 23/100 [06:14<21:01, 16.38s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2807635, 8) (2812124, 8) cc\\n\",\n            \"(2599487, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.78s/it]\\n\",\n            \" 24%|██▍       | 24/100 [06:30<20:46, 16.40s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2815399, 8) (2812124, 8) cc\\n\",\n            \"(2592905, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 25%|██▌       | 25/100 [06:47<20:30, 16.41s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2830446, 8) (2812124, 8) cc\\n\",\n            \"(2607650, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \" 26%|██▌       | 26/100 [07:03<20:18, 16.47s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2826371, 8) (2812124, 8) cc\\n\",\n            \"(2609350, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 27%|██▋       | 27/100 [07:20<20:06, 16.52s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2810952, 8) (2812124, 8) cc\\n\",\n            \"(2603235, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.86s/it]\\n\",\n            \" 28%|██▊       | 28/100 [07:37<19:58, 16.65s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2818871, 8) (2812124, 8) cc\\n\",\n            \"(2601309, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.89s/it]\\n\",\n            \" 29%|██▉       | 29/100 [07:54<19:45, 16.69s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2809700, 8) (2812124, 8) cc\\n\",\n            \"(2596918, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \" 30%|███       | 30/100 [08:10<19:21, 16.59s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2811388, 8) (2812124, 8) cc\\n\",\n            \"(2601452, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.87s/it]\\n\",\n            \" 31%|███       | 31/100 [08:27<19:06, 16.61s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2791905, 8) (2812124, 8) cc\\n\",\n            \"(2578939, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 32%|███▏      | 32/100 [08:43<18:43, 16.52s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2786680, 8) (2812124, 8) cc\\n\",\n            \"(2569864, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \" 33%|███▎      | 33/100 [08:59<18:27, 16.53s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2807926, 8) (2812124, 8) cc\\n\",\n            \"(2591502, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.86s/it]\\n\",\n            \" 34%|███▍      | 34/100 [09:16<18:13, 16.56s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2802340, 8) (2812124, 8) cc\\n\",\n            \"(2587789, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 35%|███▌      | 35/100 [09:33<17:54, 16.54s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2817970, 8) (2812124, 8) cc\\n\",\n            \"(2600022, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.89s/it]\\n\",\n            \" 36%|███▌      | 36/100 [09:49<17:35, 16.50s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2809217, 8) (2812124, 8) cc\\n\",\n            \"(2590255, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.77s/it]\\n\",\n            \" 37%|███▋      | 37/100 [10:05<17:16, 16.45s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2804630, 8) (2812124, 8) cc\\n\",\n            \"(2587512, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 38%|███▊      | 38/100 [10:22<17:00, 16.45s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2804992, 8) (2812124, 8) cc\\n\",\n            \"(2593196, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 39%|███▉      | 39/100 [10:38<16:44, 16.47s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2805472, 8) (2812124, 8) cc\\n\",\n            \"(2588929, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.87s/it]\\n\",\n            \" 40%|████      | 40/100 [10:55<16:29, 16.49s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2840083, 8) (2812124, 8) cc\\n\",\n            \"(2621494, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.89s/it]\\n\",\n            \" 41%|████      | 41/100 [11:12<16:21, 16.64s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2817722, 8) (2812124, 8) cc\\n\",\n            \"(2597917, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 42%|████▏     | 42/100 [11:28<16:00, 16.56s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2827082, 8) (2812124, 8) cc\\n\",\n            \"(2611454, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.86s/it]\\n\",\n            \" 43%|████▎     | 43/100 [11:45<15:46, 16.61s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2813720, 8) (2812124, 8) cc\\n\",\n            \"(2596941, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \" 44%|████▍     | 44/100 [12:01<15:24, 16.51s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2795731, 8) (2812124, 8) cc\\n\",\n            \"(2574368, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.80s/it]\\n\",\n            \" 45%|████▌     | 45/100 [12:18<15:05, 16.47s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2797029, 8) (2812124, 8) cc\\n\",\n            \"(2583654, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.80s/it]\\n\",\n            \" 46%|████▌     | 46/100 [12:34<14:47, 16.43s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2804562, 8) (2812124, 8) cc\\n\",\n            \"(2587173, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.84s/it]\\n\",\n            \" 47%|████▋     | 47/100 [12:51<14:33, 16.49s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2823802, 8) (2812124, 8) cc\\n\",\n            \"(2612596, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.87s/it]\\n\",\n            \" 48%|████▊     | 48/100 [13:07<14:21, 16.57s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2808591, 8) (2812124, 8) cc\\n\",\n            \"(2601321, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 49%|████▉     | 49/100 [13:24<14:04, 16.57s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2798717, 8) (2812124, 8) cc\\n\",\n            \"(2587080, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 50%|█████     | 50/100 [13:40<13:43, 16.48s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2819083, 8) (2812124, 8) cc\\n\",\n            \"(2599236, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 51%|█████     | 51/100 [13:57<13:28, 16.51s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2810695, 8) (2812124, 8) cc\\n\",\n            \"(2600100, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.80s/it]\\n\",\n            \" 52%|█████▏    | 52/100 [14:13<13:08, 16.42s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2834754, 8) (2812124, 8) cc\\n\",\n            \"(2609859, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.84s/it]\\n\",\n            \" 53%|█████▎    | 53/100 [14:30<12:56, 16.52s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2802099, 8) (2812124, 8) cc\\n\",\n            \"(2585361, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 54%|█████▍    | 54/100 [14:46<12:40, 16.54s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2791519, 8) (2812124, 8) cc\\n\",\n            \"(2579748, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 55%|█████▌    | 55/100 [15:03<12:26, 16.58s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2812269, 8) (2812124, 8) cc\\n\",\n            \"(2597395, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.86s/it]\\n\",\n            \" 56%|█████▌    | 56/100 [15:19<12:08, 16.56s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2791094, 8) (2812124, 8) cc\\n\",\n            \"(2584219, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.57s/it]\\n\",\n            \" 57%|█████▋    | 57/100 [15:36<11:57, 16.68s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2821088, 8) (2812124, 8) cc\\n\",\n            \"(2600602, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 58%|█████▊    | 58/100 [15:53<11:37, 16.62s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2797401, 8) (2812124, 8) cc\\n\",\n            \"(2574643, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 59%|█████▉    | 59/100 [16:09<11:18, 16.54s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2842938, 8) (2812124, 8) cc\\n\",\n            \"(2620533, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.88s/it]\\n\",\n            \" 60%|██████    | 60/100 [16:26<11:02, 16.57s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2812741, 8) (2812124, 8) cc\\n\",\n            \"(2599310, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.92s/it]\\n\",\n            \" 61%|██████    | 61/100 [16:43<10:52, 16.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2825038, 8) (2812124, 8) cc\\n\",\n            \"(2611643, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 62%|██████▏   | 62/100 [17:00<10:34, 16.70s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2816612, 8) (2812124, 8) cc\\n\",\n            \"(2604314, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 63%|██████▎   | 63/100 [17:16<10:18, 16.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2801059, 8) (2812124, 8) cc\\n\",\n            \"(2583106, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 64%|██████▍   | 64/100 [17:33<09:58, 16.62s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2821323, 8) (2812124, 8) cc\\n\",\n            \"(2604950, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 65%|██████▌   | 65/100 [17:49<09:40, 16.59s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2830421, 8) (2812124, 8) cc\\n\",\n            \"(2609928, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.92s/it]\\n\",\n            \" 66%|██████▌   | 66/100 [18:06<09:25, 16.64s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2819485, 8) (2812124, 8) cc\\n\",\n            \"(2605189, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 67%|██████▋   | 67/100 [18:23<09:09, 16.65s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2802719, 8) (2812124, 8) cc\\n\",\n            \"(2585995, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.78s/it]\\n\",\n            \" 68%|██████▊   | 68/100 [18:39<08:48, 16.53s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2789318, 8) (2812124, 8) cc\\n\",\n            \"(2573977, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.76s/it]\\n\",\n            \" 69%|██████▉   | 69/100 [18:55<08:30, 16.46s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2805148, 8) (2812124, 8) cc\\n\",\n            \"(2584948, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.77s/it]\\n\",\n            \" 70%|███████   | 70/100 [19:11<08:10, 16.35s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2792224, 8) (2812124, 8) cc\\n\",\n            \"(2584057, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.80s/it]\\n\",\n            \" 71%|███████   | 71/100 [19:28<07:54, 16.36s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2815562, 8) (2812124, 8) cc\\n\",\n            \"(2594722, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.79s/it]\\n\",\n            \" 72%|███████▏  | 72/100 [19:44<07:39, 16.42s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2805699, 8) (2812124, 8) cc\\n\",\n            \"(2597443, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 73%|███████▎  | 73/100 [20:01<07:23, 16.43s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2812237, 8) (2812124, 8) cc\\n\",\n            \"(2591392, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.93s/it]\\n\",\n            \" 74%|███████▍  | 74/100 [20:17<07:08, 16.48s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2801389, 8) (2812124, 8) cc\\n\",\n            \"(2578928, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.84s/it]\\n\",\n            \" 75%|███████▌  | 75/100 [20:34<06:54, 16.59s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2822315, 8) (2812124, 8) cc\\n\",\n            \"(2603183, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.79s/it]\\n\",\n            \" 76%|███████▌  | 76/100 [20:51<06:37, 16.57s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2801641, 8) (2812124, 8) cc\\n\",\n            \"(2587735, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.84s/it]\\n\",\n            \" 77%|███████▋  | 77/100 [21:07<06:21, 16.60s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2802082, 8) (2812124, 8) cc\\n\",\n            \"(2590403, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.86s/it]\\n\",\n            \" 78%|███████▊  | 78/100 [21:24<06:06, 16.64s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2823818, 8) (2812124, 8) cc\\n\",\n            \"(2602004, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.88s/it]\\n\",\n            \" 79%|███████▉  | 79/100 [21:41<05:51, 16.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2803056, 8) (2812124, 8) cc\\n\",\n            \"(2583210, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.87s/it]\\n\",\n            \" 80%|████████  | 80/100 [21:58<05:33, 16.70s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2829532, 8) (2812124, 8) cc\\n\",\n            \"(2607044, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.87s/it]\\n\",\n            \" 81%|████████  | 81/100 [22:15<05:19, 16.83s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2796522, 8) (2812124, 8) cc\\n\",\n            \"(2583650, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.90s/it]\\n\",\n            \" 82%|████████▏ | 82/100 [22:32<05:02, 16.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2806555, 8) (2812124, 8) cc\\n\",\n            \"(2587081, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.91s/it]\\n\",\n            \" 83%|████████▎ | 83/100 [22:48<04:45, 16.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2797924, 8) (2812124, 8) cc\\n\",\n            \"(2584405, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 84%|████████▍ | 84/100 [23:05<04:27, 16.71s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2808136, 8) (2812124, 8) cc\\n\",\n            \"(2590066, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.81s/it]\\n\",\n            \" 85%|████████▌ | 85/100 [23:22<04:11, 16.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2828578, 8) (2812124, 8) cc\\n\",\n            \"(2610953, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.87s/it]\\n\",\n            \" 86%|████████▌ | 86/100 [23:38<03:54, 16.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2826107, 8) (2812124, 8) cc\\n\",\n            \"(2607874, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \" 87%|████████▋ | 87/100 [23:55<03:37, 16.73s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2826717, 8) (2812124, 8) cc\\n\",\n            \"(2604289, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 88%|████████▊ | 88/100 [24:12<03:21, 16.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2812976, 8) (2812124, 8) cc\\n\",\n            \"(2598654, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.80s/it]\\n\",\n            \" 89%|████████▉ | 89/100 [24:29<03:05, 16.84s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2803736, 8) (2812124, 8) cc\\n\",\n            \"(2590166, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 90%|█████████ | 90/100 [24:46<02:47, 16.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2807589, 8) (2812124, 8) cc\\n\",\n            \"(2589153, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.84s/it]\\n\",\n            \" 91%|█████████ | 91/100 [25:03<02:31, 16.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2805893, 8) (2812124, 8) cc\\n\",\n            \"(2586446, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.88s/it]\\n\",\n            \" 92%|█████████▏| 92/100 [25:19<02:13, 16.70s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2803476, 8) (2812124, 8) cc\\n\",\n            \"(2583761, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 93%|█████████▎| 93/100 [25:36<01:57, 16.73s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2824971, 8) (2812124, 8) cc\\n\",\n            \"(2602902, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 94%|█████████▍| 94/100 [25:52<01:40, 16.69s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2821631, 8) (2812124, 8) cc\\n\",\n            \"(2601069, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.87s/it]\\n\",\n            \" 95%|█████████▌| 95/100 [26:09<01:23, 16.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2810040, 8) (2812124, 8) cc\\n\",\n            \"(2590503, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.86s/it]\\n\",\n            \" 96%|█████████▌| 96/100 [26:26<01:07, 16.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2814233, 8) (2812124, 8) cc\\n\",\n            \"(2599137, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.85s/it]\\n\",\n            \" 97%|█████████▋| 97/100 [26:43<00:50, 16.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2795092, 8) (2812124, 8) cc\\n\",\n            \"(2587450, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.83s/it]\\n\",\n            \" 98%|█████████▊| 98/100 [26:59<00:33, 16.65s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2819578, 8) (2812124, 8) cc\\n\",\n            \"(2605592, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.82s/it]\\n\",\n            \" 99%|█████████▉| 99/100 [27:16<00:16, 16.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52579 52579 52579 ee\\n\",\n            \"(2807001, 8) (2812124, 8) cc\\n\",\n            \"(2587771, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.86s/it]\\n\",\n            \"100%|██████████| 100/100 [27:33<00:00, 16.68s/it]\\n\",\n            \"  0%|          | 0/100 [00:00<?, ?it/s]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"(2729405, 10)\\n\",\n            \"52576 52576 52576 ee\\n\",\n            \"(2752982, 10) (2729405, 10) cc\\n\",\n            \"(2523400, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.07s/it]\\n\",\n            \"  1%|          | 1/100 [00:16<27:18, 16.55s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2733758, 10) (2729405, 10) cc\\n\",\n            \"(2501751, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.30s/it]\\n\",\n            \"  2%|▏         | 2/100 [00:32<26:42, 16.35s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2722174, 10) (2729405, 10) cc\\n\",\n            \"(2496231, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.10s/it]\\n\",\n            \"  3%|▎         | 3/100 [00:48<26:16, 16.26s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2732256, 10) (2729405, 10) cc\\n\",\n            \"(2500941, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.95s/it]\\n\",\n            \"  4%|▍         | 4/100 [01:04<25:39, 16.04s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2729096, 10) (2729405, 10) cc\\n\",\n            \"(2496960, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.95s/it]\\n\",\n            \"  5%|▌         | 5/100 [01:19<25:12, 15.92s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2716363, 10) (2729405, 10) cc\\n\",\n            \"(2486938, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.07s/it]\\n\",\n            \"  6%|▌         | 6/100 [01:35<24:45, 15.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2732738, 10) (2729405, 10) cc\\n\",\n            \"(2502577, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.98s/it]\\n\",\n            \"  7%|▋         | 7/100 [01:51<24:30, 15.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2738889, 10) (2729405, 10) cc\\n\",\n            \"(2512280, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.09s/it]\\n\",\n            \"  8%|▊         | 8/100 [02:06<24:11, 15.77s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2738725, 10) (2729405, 10) cc\\n\",\n            \"(2511924, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\\n\",\n            \"  9%|▉         | 9/100 [02:22<24:01, 15.84s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2732821, 10) (2729405, 10) cc\\n\",\n            \"(2504017, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  3.00s/it]\\n\",\n            \" 10%|█         | 10/100 [02:38<23:33, 15.70s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2729973, 10) (2729405, 10) cc\\n\",\n            \"(2496541, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.27s/it]\\n\",\n            \" 11%|█         | 11/100 [02:54<23:28, 15.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2737183, 10) (2729405, 10) cc\\n\",\n            \"(2499268, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.04s/it]\\n\",\n            \" 12%|█▏        | 12/100 [03:09<23:09, 15.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2730168, 10) (2729405, 10) cc\\n\",\n            \"(2501340, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.10s/it]\\n\",\n            \" 13%|█▎        | 13/100 [03:25<23:01, 15.88s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2714409, 10) (2729405, 10) cc\\n\",\n            \"(2480362, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.91s/it]\\n\",\n            \" 14%|█▍        | 14/100 [03:41<22:34, 15.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2740441, 10) (2729405, 10) cc\\n\",\n            \"(2506891, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.10s/it]\\n\",\n            \" 15%|█▌        | 15/100 [03:57<22:29, 15.88s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2730364, 10) (2729405, 10) cc\\n\",\n            \"(2508686, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.11s/it]\\n\",\n            \" 16%|█▌        | 16/100 [04:13<22:11, 15.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2731649, 10) (2729405, 10) cc\\n\",\n            \"(2498041, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.07s/it]\\n\",\n            \" 17%|█▋        | 17/100 [04:29<21:59, 15.90s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2736816, 10) (2729405, 10) cc\\n\",\n            \"(2507319, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.16s/it]\\n\",\n            \" 18%|█▊        | 18/100 [04:45<21:42, 15.88s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2720696, 10) (2729405, 10) cc\\n\",\n            \"(2496515, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.13s/it]\\n\",\n            \" 19%|█▉        | 19/100 [05:01<21:32, 15.95s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2738855, 10) (2729405, 10) cc\\n\",\n            \"(2508929, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\\n\",\n            \" 20%|██        | 20/100 [05:17<21:10, 15.88s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2725004, 10) (2729405, 10) cc\\n\",\n            \"(2499563, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.04s/it]\\n\",\n            \" 21%|██        | 21/100 [05:33<20:56, 15.91s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2731509, 10) (2729405, 10) cc\\n\",\n            \"(2508583, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.00s/it]\\n\",\n            \" 22%|██▏       | 22/100 [05:48<20:34, 15.83s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2724046, 10) (2729405, 10) cc\\n\",\n            \"(2501040, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.05s/it]\\n\",\n            \" 23%|██▎       | 23/100 [06:04<20:26, 15.93s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2730128, 10) (2729405, 10) cc\\n\",\n            \"(2506335, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.11s/it]\\n\",\n            \" 24%|██▍       | 24/100 [06:20<20:07, 15.89s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2741792, 10) (2729405, 10) cc\\n\",\n            \"(2515140, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.09s/it]\\n\",\n            \" 25%|██▌       | 25/100 [06:36<19:56, 15.95s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2709139, 10) (2729405, 10) cc\\n\",\n            \"(2487412, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.15s/it]\\n\",\n            \" 26%|██▌       | 26/100 [06:52<19:34, 15.87s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2742158, 10) (2729405, 10) cc\\n\",\n            \"(2516457, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.09s/it]\\n\",\n            \" 27%|██▋       | 27/100 [07:08<19:26, 15.98s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2707479, 10) (2729405, 10) cc\\n\",\n            \"(2476729, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.04s/it]\\n\",\n            \" 28%|██▊       | 28/100 [07:24<18:57, 15.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2735140, 10) (2729405, 10) cc\\n\",\n            \"(2511239, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.10s/it]\\n\",\n            \" 29%|██▉       | 29/100 [07:40<18:49, 15.90s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2731710, 10) (2729405, 10) cc\\n\",\n            \"(2501869, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.09s/it]\\n\",\n            \" 30%|███       | 30/100 [07:55<18:29, 15.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2722792, 10) (2729405, 10) cc\\n\",\n            \"(2491248, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.16s/it]\\n\",\n            \" 31%|███       | 31/100 [08:12<18:28, 16.06s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2737634, 10) (2729405, 10) cc\\n\",\n            \"(2507944, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.10s/it]\\n\",\n            \" 32%|███▏      | 32/100 [08:28<18:07, 16.00s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2730765, 10) (2729405, 10) cc\\n\",\n            \"(2506331, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.19s/it]\\n\",\n            \" 33%|███▎      | 33/100 [08:44<17:57, 16.08s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2729136, 10) (2729405, 10) cc\\n\",\n            \"(2499444, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.02s/it]\\n\",\n            \" 34%|███▍      | 34/100 [09:00<17:31, 15.93s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2735689, 10) (2729405, 10) cc\\n\",\n            \"(2506580, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.12s/it]\\n\",\n            \" 35%|███▌      | 35/100 [09:16<17:16, 15.94s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2719870, 10) (2729405, 10) cc\\n\",\n            \"(2491875, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.14s/it]\\n\",\n            \" 36%|███▌      | 36/100 [09:31<16:55, 15.87s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2747275, 10) (2729405, 10) cc\\n\",\n            \"(2514853, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.21s/it]\\n\",\n            \" 37%|███▋      | 37/100 [09:48<16:47, 16.00s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2734051, 10) (2729405, 10) cc\\n\",\n            \"(2501100, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.93s/it]\\n\",\n            \" 38%|███▊      | 38/100 [10:03<16:26, 15.91s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2739284, 10) (2729405, 10) cc\\n\",\n            \"(2513171, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.11s/it]\\n\",\n            \" 39%|███▉      | 39/100 [10:19<16:13, 15.95s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2716817, 10) (2729405, 10) cc\\n\",\n            \"(2486957, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.07s/it]\\n\",\n            \" 40%|████      | 40/100 [10:35<15:53, 15.89s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2737772, 10) (2729405, 10) cc\\n\",\n            \"(2508363, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.04s/it]\\n\",\n            \" 41%|████      | 41/100 [10:51<15:39, 15.92s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2708835, 10) (2729405, 10) cc\\n\",\n            \"(2482830, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.05s/it]\\n\",\n            \" 42%|████▏     | 42/100 [11:07<15:17, 15.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2722182, 10) (2729405, 10) cc\\n\",\n            \"(2497007, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.07s/it]\\n\",\n            \" 43%|████▎     | 43/100 [11:23<15:03, 15.86s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2740454, 10) (2729405, 10) cc\\n\",\n            \"(2520000, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.09s/it]\\n\",\n            \" 44%|████▍     | 44/100 [11:39<14:47, 15.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2721848, 10) (2729405, 10) cc\\n\",\n            \"(2497399, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.00s/it]\\n\",\n            \" 45%|████▌     | 45/100 [11:54<14:31, 15.84s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2738787, 10) (2729405, 10) cc\\n\",\n            \"(2502634, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.02s/it]\\n\",\n            \" 46%|████▌     | 46/100 [12:10<14:13, 15.80s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2735996, 10) (2729405, 10) cc\\n\",\n            \"(2506566, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.97s/it]\\n\",\n            \" 47%|████▋     | 47/100 [12:26<14:00, 15.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2740297, 10) (2729405, 10) cc\\n\",\n            \"(2510487, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\\n\",\n            \" 48%|████▊     | 48/100 [12:42<13:45, 15.87s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2722754, 10) (2729405, 10) cc\\n\",\n            \"(2492061, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\\n\",\n            \" 49%|████▉     | 49/100 [12:58<13:28, 15.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2740236, 10) (2729405, 10) cc\\n\",\n            \"(2507122, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.02s/it]\\n\",\n            \" 50%|█████     | 50/100 [13:13<13:10, 15.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2751977, 10) (2729405, 10) cc\\n\",\n            \"(2518370, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.97s/it]\\n\",\n            \" 51%|█████     | 51/100 [13:29<12:55, 15.83s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2743615, 10) (2729405, 10) cc\\n\",\n            \"(2510287, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.01s/it]\\n\",\n            \" 52%|█████▏    | 52/100 [13:45<12:37, 15.77s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2724132, 10) (2729405, 10) cc\\n\",\n            \"(2494645, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.94s/it]\\n\",\n            \" 53%|█████▎    | 53/100 [14:01<12:21, 15.77s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2712038, 10) (2729405, 10) cc\\n\",\n            \"(2492512, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.87s/it]\\n\",\n            \" 54%|█████▍    | 54/100 [14:16<11:57, 15.61s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2735401, 10) (2729405, 10) cc\\n\",\n            \"(2499910, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.02s/it]\\n\",\n            \" 55%|█████▌    | 55/100 [14:32<11:45, 15.68s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2748491, 10) (2729405, 10) cc\\n\",\n            \"(2516034, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\\n\",\n            \" 56%|█████▌    | 56/100 [14:48<11:30, 15.69s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2720415, 10) (2729405, 10) cc\\n\",\n            \"(2493701, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.16s/it]\\n\",\n            \" 57%|█████▋    | 57/100 [15:04<11:18, 15.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2698287, 10) (2729405, 10) cc\\n\",\n            \"(2480136, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.04s/it]\\n\",\n            \" 58%|█████▊    | 58/100 [15:19<11:01, 15.75s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2745183, 10) (2729405, 10) cc\\n\",\n            \"(2518276, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.24s/it]\\n\",\n            \" 59%|█████▉    | 59/100 [15:35<10:52, 15.91s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2737424, 10) (2729405, 10) cc\\n\",\n            \"(2511240, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.05s/it]\\n\",\n            \" 60%|██████    | 60/100 [15:51<10:33, 15.85s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2722155, 10) (2729405, 10) cc\\n\",\n            \"(2495634, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.95s/it]\\n\",\n            \" 61%|██████    | 61/100 [16:07<10:16, 15.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2746986, 10) (2729405, 10) cc\\n\",\n            \"(2521345, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.98s/it]\\n\",\n            \" 62%|██████▏   | 62/100 [16:23<09:59, 15.78s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2718249, 10) (2729405, 10) cc\\n\",\n            \"(2489148, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.11s/it]\\n\",\n            \" 63%|██████▎   | 63/100 [16:38<09:44, 15.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2724266, 10) (2729405, 10) cc\\n\",\n            \"(2501424, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.02s/it]\\n\",\n            \" 64%|██████▍   | 64/100 [16:54<09:27, 15.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2728235, 10) (2729405, 10) cc\\n\",\n            \"(2505525, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.08s/it]\\n\",\n            \" 65%|██████▌   | 65/100 [17:10<09:13, 15.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2731186, 10) (2729405, 10) cc\\n\",\n            \"(2508264, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.01s/it]\\n\",\n            \" 66%|██████▌   | 66/100 [17:26<08:56, 15.77s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2722674, 10) (2729405, 10) cc\\n\",\n            \"(2499163, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\\n\",\n            \" 67%|██████▋   | 67/100 [17:42<08:42, 15.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2727034, 10) (2729405, 10) cc\\n\",\n            \"(2502650, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\\n\",\n            \" 68%|██████▊   | 68/100 [17:57<08:26, 15.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2722070, 10) (2729405, 10) cc\\n\",\n            \"(2498423, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.99s/it]\\n\",\n            \" 69%|██████▉   | 69/100 [18:13<08:09, 15.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2723453, 10) (2729405, 10) cc\\n\",\n            \"(2490955, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.89s/it]\\n\",\n            \" 70%|███████   | 70/100 [18:29<07:50, 15.67s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2735133, 10) (2729405, 10) cc\\n\",\n            \"(2511555, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.09s/it]\\n\",\n            \" 71%|███████   | 71/100 [18:44<07:36, 15.73s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2740641, 10) (2729405, 10) cc\\n\",\n            \"(2508106, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.09s/it]\\n\",\n            \" 72%|███████▏  | 72/100 [19:00<07:20, 15.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2751220, 10) (2729405, 10) cc\\n\",\n            \"(2521950, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.06s/it]\\n\",\n            \" 73%|███████▎  | 73/100 [19:16<07:06, 15.78s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2730727, 10) (2729405, 10) cc\\n\",\n            \"(2503784, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.01s/it]\\n\",\n            \" 74%|███████▍  | 74/100 [19:32<06:49, 15.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2731783, 10) (2729405, 10) cc\\n\",\n            \"(2503669, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.01s/it]\\n\",\n            \" 75%|███████▌  | 75/100 [19:48<06:34, 15.78s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2725406, 10) (2729405, 10) cc\\n\",\n            \"(2495558, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.01s/it]\\n\",\n            \" 76%|███████▌  | 76/100 [20:03<06:17, 15.74s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2729647, 10) (2729405, 10) cc\\n\",\n            \"(2493301, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.07s/it]\\n\",\n            \" 77%|███████▋  | 77/100 [20:19<06:03, 15.82s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2736574, 10) (2729405, 10) cc\\n\",\n            \"(2514058, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.12s/it]\\n\",\n            \" 78%|███████▊  | 78/100 [20:35<05:47, 15.80s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2731701, 10) (2729405, 10) cc\\n\",\n            \"(2505669, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.07s/it]\\n\",\n            \" 79%|███████▉  | 79/100 [20:51<05:31, 15.80s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2747915, 10) (2729405, 10) cc\\n\",\n            \"(2517539, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.04s/it]\\n\",\n            \" 80%|████████  | 80/100 [21:07<05:16, 15.81s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2724159, 10) (2729405, 10) cc\\n\",\n            \"(2494447, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.96s/it]\\n\",\n            \" 81%|████████  | 81/100 [21:22<04:59, 15.78s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2728872, 10) (2729405, 10) cc\\n\",\n            \"(2502218, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.08s/it]\\n\",\n            \" 82%|████████▏ | 82/100 [21:38<04:43, 15.77s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2734222, 10) (2729405, 10) cc\\n\",\n            \"(2500753, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.95s/it]\\n\",\n            \" 83%|████████▎ | 83/100 [21:54<04:27, 15.76s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2723057, 10) (2729405, 10) cc\\n\",\n            \"(2496244, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.00s/it]\\n\",\n            \" 84%|████████▍ | 84/100 [22:09<04:11, 15.71s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2727701, 10) (2729405, 10) cc\\n\",\n            \"(2500639, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.90s/it]\\n\",\n            \" 85%|████████▌ | 85/100 [22:25<03:55, 15.67s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2739956, 10) (2729405, 10) cc\\n\",\n            \"(2508099, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.02s/it]\\n\",\n            \" 86%|████████▌ | 86/100 [22:41<03:39, 15.66s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2750762, 10) (2729405, 10) cc\\n\",\n            \"(2514800, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.09s/it]\\n\",\n            \" 87%|████████▋ | 87/100 [22:56<03:24, 15.72s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2740715, 10) (2729405, 10) cc\\n\",\n            \"(2506340, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.94s/it]\\n\",\n            \" 88%|████████▊ | 88/100 [23:12<03:07, 15.66s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2716397, 10) (2729405, 10) cc\\n\",\n            \"(2490098, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.00s/it]\\n\",\n            \" 89%|████████▉ | 89/100 [23:28<02:52, 15.64s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2724512, 10) (2729405, 10) cc\\n\",\n            \"(2501520, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.00s/it]\\n\",\n            \" 90%|█████████ | 90/100 [23:43<02:35, 15.55s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2731627, 10) (2729405, 10) cc\\n\",\n            \"(2503818, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.96s/it]\\n\",\n            \" 91%|█████████ | 91/100 [23:59<02:20, 15.59s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2725829, 10) (2729405, 10) cc\\n\",\n            \"(2500002, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.87s/it]\\n\",\n            \" 92%|█████████▏| 92/100 [24:14<02:04, 15.54s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2732044, 10) (2729405, 10) cc\\n\",\n            \"(2502280, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.99s/it]\\n\",\n            \" 93%|█████████▎| 93/100 [24:30<01:48, 15.57s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2724929, 10) (2729405, 10) cc\\n\",\n            \"(2496247, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.90s/it]\\n\",\n            \" 94%|█████████▍| 94/100 [24:45<01:32, 15.48s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2735313, 10) (2729405, 10) cc\\n\",\n            \"(2502708, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.97s/it]\\n\",\n            \" 95%|█████████▌| 95/100 [25:01<01:17, 15.56s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2722980, 10) (2729405, 10) cc\\n\",\n            \"(2500032, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.95s/it]\\n\",\n            \" 96%|█████████▌| 96/100 [25:16<01:02, 15.53s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2713724, 10) (2729405, 10) cc\\n\",\n            \"(2490700, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\\n\",\n            \" 97%|█████████▋| 97/100 [25:32<00:46, 15.57s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2734915, 10) (2729405, 10) cc\\n\",\n            \"(2508475, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.06s/it]\\n\",\n            \" 98%|█████████▊| 98/100 [25:48<00:31, 15.61s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2744750, 10) (2729405, 10) cc\\n\",\n            \"(2516326, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.06s/it]\\n\",\n            \" 99%|█████████▉| 99/100 [26:04<00:15, 15.79s/it]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"52576 52576 52576 ee\\n\",\n            \"(2729254, 10) (2729405, 10) cc\\n\",\n            \"(2502428, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:02<00:00,  2.94s/it]\\n\",\n            \"100%|██████████| 100/100 [26:19<00:00, 15.72s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"axXGD0T-lQxD\"\n      },\n      \"source\": [\n        \"from scipy.interpolate import interp1d\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def create_interpolated_df(single_curve):\\n\",\n        \"    single_curve = single_curve.copy().query(\\\"precision>0.5\\\")\\n\",\n        \"    interp_recall_fn = interp1d(single_curve.recall,\\n\",\n        \"                                single_curve.precision,\\n\",\n        \"                                bounds_error=False)\\n\",\n        \"    recall = np.linspace(0.5, 1, 5001)\\n\",\n        \"    interpolated_precisions = interp_recall_fn(recall)\\n\",\n        \"    return pd.DataFrame({\\n\",\n        \"        \\\"type\\\": single_curve.type.to_list()[0],\\n\",\n        \"        \\\"group\\\": single_curve.group.to_list()[0],\\n\",\n        \"        \\\"precision\\\": interpolated_precisions,\\n\",\n        \"        \\\"recall\\\": recall\\n\",\n        \"    })\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"pnHKZRColhaK\"\n      },\n      \"source\": [\n        \"curves = [\\n\",\n        \"    ensembled_prs, non_ensembled_prs, blast_and_cnn_ensemble_prs, blast_prs\\n\",\n        \"]\\n\",\n        \"dfs = []\\n\",\n        \"\\n\",\n        \"for curve_set in curves:\\n\",\n        \"    for c2 in curve_set:\\n\",\n        \"        for group_name, df_group in c2.groupby(\\\"group\\\"):\\n\",\n        \"            dfs.append(create_interpolated_df(df_group))\\n\",\n        \"all = pd.concat(dfs)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"hjcHpocRSm67\"\n      },\n      \"source\": [\n        \"\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"0YIkZtjeoJkU\"\n      },\n      \"source\": [\n        \"def lower_func(x):\\n\",\n        \"    return x.quantile(0.025)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def upper_func(x):\\n\",\n        \"    return x.quantile(0.975)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"for_graph = all.groupby(['type', 'group', 'recall'\\n\",\n        \"                         ]).agg(lower=(\\\"precision\\\", lower_func),\\n\",\n        \"                                upper=(\\\"precision\\\", upper_func)).reset_index()\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"4ARrq09Kr8cM\",\n        \"outputId\": \"b66acbee-5bfd-4869-fe22-71ad9b5d2881\"\n      },\n      \"source\": [\n        \"a = get_bootstrapped_pr_curves(predictions_df,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               n=1,\\n\",\n        \"                               sample_with_replacement=False,\\n\",\n        \"                               method_label=\\\"CNN\\\")[0]\\n\",\n        \"b = get_bootstrapped_pr_curves(ens_predictions_df,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               n=1,\\n\",\n        \"                               sample_with_replacement=False,\\n\",\n        \"                               method_label=\\\"Ensemble\\\")[0]\\n\",\n        \"c = get_bootstrapped_pr_curves(blast_df,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               n=1,\\n\",\n        \"                               sample_with_replacement=False,\\n\",\n        \"                               method_label=\\\"Blast\\\")[0]\\n\",\n        \"d = get_bootstrapped_pr_curves(blast_and_cnn_ensemble,\\n\",\n        \"                               ground_truth_df,\\n\",\n        \"                               n=1,\\n\",\n        \"                               sample_with_replacement=False,\\n\",\n        \"                               method_label=\\\"Blast/CNN-ensemble\\\")[0]\\n\",\n        \"all_single = pd.concat([a, b, c, d])\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"\\r  0%|          | 0/1 [00:00<?, ?it/s]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"(3408762, 4)\\n\",\n            \"53463 53463 53463 ee\\n\",\n            \"(3408762, 4) (3408762, 4) cc\\n\",\n            \"(3205208, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:04<00:00,  4.54s/it]\\n\",\n            \"100%|██████████| 1/1 [00:19<00:00, 19.47s/it]\\n\",\n            \"  0%|          | 0/1 [00:00<?, ?it/s]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"(6409569, 4)\\n\",\n            \"54056 54056 54056 ee\\n\",\n            \"(6409569, 4) (6409569, 4) cc\\n\",\n            \"(6328426, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:16<00:00, 16.19s/it]\\n\",\n            \"100%|██████████| 1/1 [00:42<00:00, 42.70s/it]\\n\",\n            \"  0%|          | 0/1 [00:00<?, ?it/s]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"(2812124, 8)\\n\",\n            \"52579 52579 52579 ee\\n\",\n            \"(2812124, 8) (2812124, 8) cc\\n\",\n            \"(2595506, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:01<00:00,  1.72s/it]\\n\",\n            \"100%|██████████| 1/1 [00:16<00:00, 16.34s/it]\\n\",\n            \"  0%|          | 0/1 [00:00<?, ?it/s]\"\n          ]\n        },\n        {\n          \"name\": \"stdout\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"(2729405, 10)\\n\",\n            \"52576 52576 52576 ee\\n\",\n            \"(2729405, 10) (2729405, 10) cc\\n\",\n            \"(2501479, 3)\\n\"\n          ]\n        },\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 1/1 [00:03<00:00,  3.64s/it]\\n\",\n            \"100%|██████████| 1/1 [00:17<00:00, 17.72s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"0vJRwxBFoMlc\",\n        \"outputId\": \"dfa79266-29b4-4dd9-e22b-8fd6bc4a6a0e\"\n      },\n      \"source\": [\n        \"predictions_df.shape\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"data\": {\n            \"text/plain\": [\n              \"(3205208, 3)\"\n            ]\n          },\n          \"execution_count\": null,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"BjC_XveS7mC3\",\n        \"outputId\": \"7ff0ae9f-2463-4f86-8ff0-875f2b9fe60e\"\n      },\n      \"source\": [\n        \"for_graph\"\n      ],\n      \"execution_count\": null,\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>type</th>\\n\",\n              \"      <th>group</th>\\n\",\n              \"      <th>recall</th>\\n\",\n              \"      <th>lower</th>\\n\",\n              \"      <th>upper</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Blast</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.5000</td>\\n\",\n              \"      <td>0.898147</td>\\n\",\n              \"      <td>0.908463</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>Blast</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.5001</td>\\n\",\n              \"      <td>0.898113</td>\\n\",\n              \"      <td>0.908471</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>Blast</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.5002</td>\\n\",\n              \"      <td>0.898079</td>\\n\",\n              \"      <td>0.908478</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>Blast</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.5003</td>\\n\",\n              \"      <td>0.898045</td>\\n\",\n              \"      <td>0.908486</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>4</th>\\n\",\n              \"      <td>Blast</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.5004</td>\\n\",\n              \"      <td>0.898011</td>\\n\",\n              \"      <td>0.908494</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>...</th>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"      <td>...</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>19999</th>\\n\",\n              \"      <td>Ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.9996</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>20000</th>\\n\",\n              \"      <td>Ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.9997</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>20001</th>\\n\",\n              \"      <td>Ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.9998</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>20002</th>\\n\",\n              \"      <td>Ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.9999</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>20003</th>\\n\",\n              \"      <td>Ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>1.0000</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"      <td>NaN</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"<p>20004 rows × 5 columns</p>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"           type group  recall     lower     upper\\n\",\n              \"0         Blast   all  0.5000  0.898147  0.908463\\n\",\n              \"1         Blast   all  0.5001  0.898113  0.908471\\n\",\n              \"2         Blast   all  0.5002  0.898079  0.908478\\n\",\n              \"3         Blast   all  0.5003  0.898045  0.908486\\n\",\n              \"4         Blast   all  0.5004  0.898011  0.908494\\n\",\n              \"...         ...   ...     ...       ...       ...\\n\",\n              \"19999  Ensemble   all  0.9996       NaN       NaN\\n\",\n              \"20000  Ensemble   all  0.9997       NaN       NaN\\n\",\n              \"20001  Ensemble   all  0.9998       NaN       NaN\\n\",\n              \"20002  Ensemble   all  0.9999       NaN       NaN\\n\",\n              \"20003  Ensemble   all  1.0000       NaN       NaN\\n\",\n              \"\\n\",\n              \"[20004 rows x 5 columns]\"\n            ]\n          },\n          \"execution_count\": null,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"Ii8vVgD9omWs\",\n        \"outputId\": \"5b12c5c1-530b-4d8e-d912-e5875e671b91\"\n      },\n      \"source\": [\n        \"import plotly.graph_objects as go\\n\",\n        \"\\n\",\n        \"fig = go.Figure()\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def get_color(index, transparent):\\n\",\n        \"    colors = {\\n\",\n        \"        'CNN': [150, 0, 0],\\n\",\n        \"        'Ensemble': [0, 125, 125],\\n\",\n        \"        'Blast/CNN-ensemble': [0, 200, 0],\\n\",\n        \"        'Blast': [125, 0, 255]\\n\",\n        \"    }\\n\",\n        \"    transparency = 0.2 if transparent else 1\\n\",\n        \"    return f\\\"rgba({colors[index][0]}, {colors[index][1]}, {colors[index][2]}, {transparency})\\\"\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"colors = {\\n\",\n        \"    'CNN': 'green',\\n\",\n        \"    'Ensemble': 'red',\\n\",\n        \"    'Blast/CNN-ensemble': 'blue',\\n\",\n        \"    'Blast': 'orange'\\n\",\n        \"}\\n\",\n        \"for the_type, new in for_graph.groupby('type'):\\n\",\n        \"    fig.add_trace(\\n\",\n        \"        go.Scatter(\\n\",\n        \"            x=new['recall'],\\n\",\n        \"            y=new['upper'],\\n\",\n        \"            mode='lines',\\n\",\n        \"            showlegend=False,\\n\",\n        \"            line=dict(width=0.0, color=get_color(the_type, False)),\\n\",\n        \"            name=\\\"\\\",\\n\",\n        \"            hoverinfo='skip',\\n\",\n        \"        ))\\n\",\n        \"    fig.add_trace(\\n\",\n        \"        go.Scatter(\\n\",\n        \"            x=new['recall'],\\n\",\n        \"            y=new['lower'],\\n\",\n        \"            name=the_type,\\n\",\n        \"            hoverinfo='skip',\\n\",\n        \"            showlegend=False,\\n\",\n        \"            line=dict(width=0.0, color=get_color(the_type, False)),\\n\",\n        \"            fill='tonexty',\\n\",\n        \"            fillcolor=get_color(the_type, True),\\n\",\n        \"        ))\\n\",\n        \"\\n\",\n        \"for the_type, new in all_single.query(\\\"precision>0.5\\\").groupby('type'):\\n\",\n        \"    fig.add_trace(\\n\",\n        \"        go.Scatter(x=new['recall'],\\n\",\n        \"                   y=new['precision'],\\n\",\n        \"                   name=the_type,\\n\",\n        \"                   line=dict(width=1, color=get_color(the_type, False))))\\n\",\n        \"\\n\",\n        \"fig.update_xaxes(title=\\\"Recall\\\", range=[0.8, 1])\\n\",\n        \"fig.update_yaxes(title=\\\"Precision\\\", range=[0.8, 1])\\n\",\n        \"fig.update_layout(template=\\\"plotly_white\\\")\\n\",\n        \"fig.update_layout(legend_title_text='Method')\\n\",\n        \"\\n\",\n        \"fig.update_layout(title=\\\"Precision and recall by method\\\", )\\n\",\n        \"\\n\",\n        \"fig.show()\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"data\": {\n            \"text/html\": [\n              \"<html>\\n\",\n              \"<head><meta charset=\\\"utf-8\\\" /></head>\\n\",\n              \"<body>\\n\",\n              \"    <div>            <script src=\\\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\\\"></script><script type=\\\"text/javascript\\\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \\\"STIX-Web\\\"}});}</script>                <script type=\\\"text/javascript\\\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\\n\",\n              \"        <script src=\\\"https://cdn.plot.ly/plotly-latest.min.js\\\"></script>                <div id=\\\"22188536-1643-4363-8283-c1826c278d89\\\" class=\\\"plotly-graph-div\\\" style=\\\"height:525px; width:100%;\\\"></div>            <script type=\\\"text/javascript\\\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\\\"22188536-1643-4363-8283-c1826c278d89\\\")) {                    Plotly.newPlot(                        \\\"22188536-1643-4363-8283-c1826c278d89\\\",                        [{\\\"hoverinfo\\\": \\\"skip\\\", \\\"line\\\": {\\\"color\\\": \\\"rgba(125, 0, 255, 1)\\\", \\\"width\\\": 0.0}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"\\\", \\\"showlegend\\\": false, \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.5, 0.5001, 0.5002, 0.5003, 0.5004, 0.5005, 0.5006, 0.5007, 0.5008, 0.5009, 0.501, 0.5011, 0.5012, 0.5013, 0.5014, 0.5015, 0.5016, 0.5017, 0.5018, 0.5019, 0.502, 0.5021, 0.5022, 0.5023, 0.5024, 0.5025, 0.5026, 0.5027, 0.5028, 0.5029, 0.503, 0.5031, 0.5032, 0.5033, 0.5034, 0.5035, 0.5036, 0.5037, 0.5038, 0.5039, 0.504, 0.5041, 0.5042, 0.5043, 0.5044, 0.5045, 0.5046, 0.5047, 0.5048, 0.5049, 0.505, 0.5051, 0.5052, 0.5053, 0.5054, 0.5055, 0.5056, 0.5057, 0.5058, 0.5059, 0.506, 0.5061, 0.5062, 0.5063, 0.5064, 0.5065, 0.5066, 0.5067, 0.5068, 0.5069, 0.507, 0.5071, 0.5072, 0.5073, 0.5074, 0.5075, 0.5076, 0.5077, 0.5078, 0.5079, 0.508, 0.5081, 0.5082, 0.5083, 0.5084, 0.5085, 0.5086, 0.5087, 0.5088, 0.5089, 0.509, 0.5091, 0.5092, 0.5093, 0.5094, 0.5095, 0.5096, 0.5097, 0.5098, 0.5099, 0.51, 0.5101, 0.5102, 0.5103, 0.5104, 0.5105, 0.5106, 0.5107, 0.5108, 0.5109, 0.511, 0.5111, 0.5112, 0.5113, 0.5114, 0.5115, 0.5116, 0.5117, 0.5118, 0.5119, 0.512, 0.5121, 0.5122, 0.5123, 0.5124, 0.5125, 0.5126, 0.5127, 0.5128, 0.5129, 0.513, 0.5131, 0.5132, 0.5133, 0.5134, 0.5135, 0.5136000000000001, 0.5137, 0.5138, 0.5139, 0.514, 0.5141, 0.5142, 0.5143, 0.5144, 0.5145, 0.5146, 0.5147, 0.5148, 0.5149, 0.515, 0.5151, 0.5152, 0.5153, 0.5154, 0.5155, 0.5156, 0.5157, 0.5158, 0.5159, 0.516, 0.5161, 0.5162, 0.5163, 0.5164, 0.5165, 0.5166, 0.5167, 0.5168, 0.5169, 0.517, 0.5171, 0.5172, 0.5173, 0.5174, 0.5175, 0.5176, 0.5177, 0.5178, 0.5179, 0.518, 0.5181, 0.5182, 0.5183, 0.5184, 0.5185, 0.5186, 0.5187, 0.5188, 0.5189, 0.519, 0.5191, 0.5192, 0.5193, 0.5194, 0.5195, 0.5196, 0.5197, 0.5198, 0.5199, 0.52, 0.5201, 0.5202, 0.5203, 0.5204, 0.5205, 0.5206, 0.5207, 0.5208, 0.5209, 0.521, 0.5211, 0.5212, 0.5213, 0.5214, 0.5215, 0.5216, 0.5217, 0.5218, 0.5219, 0.522, 0.5221, 0.5222, 0.5223, 0.5224, 0.5225, 0.5226, 0.5227, 0.5228, 0.5229, 0.523, 0.5231, 0.5232, 0.5233, 0.5234, 0.5235, 0.5236, 0.5237, 0.5238, 0.5239, 0.524, 0.5241, 0.5242, 0.5243, 0.5244, 0.5245, 0.5246, 0.5246999999999999, 0.5248, 0.5249, 0.525, 0.5251, 0.5252, 0.5253, 0.5254, 0.5255, 0.5256, 0.5257000000000001, 0.5258, 0.5259, 0.526, 0.5261, 0.5262, 0.5263, 0.5264, 0.5265, 0.5266, 0.5267, 0.5268, 0.5269, 0.527, 0.5271, 0.5272, 0.5273, 0.5274, 0.5275, 0.5276, 0.5277000000000001, 0.5278, 0.5279, 0.528, 0.5281, 0.5282, 0.5283, 0.5284, 0.5285, 0.5286, 0.5287, 0.5288, 0.5289, 0.529, 0.5291, 0.5292, 0.5293, 0.5294, 0.5295, 0.5296, 0.5297, 0.5298, 0.5299, 0.53, 0.5301, 0.5302, 0.5303, 0.5304, 0.5305, 0.5306, 0.5307, 0.5308, 0.5309, 0.531, 0.5311, 0.5312, 0.5313, 0.5314, 0.5315, 0.5316, 0.5317, 0.5318, 0.5319, 0.532, 0.5321, 0.5322, 0.5323, 0.5324, 0.5325, 0.5326, 0.5327, 0.5328, 0.5329, 0.533, 0.5331, 0.5332, 0.5333, 0.5334, 0.5335, 0.5336, 0.5337, 0.5338, 0.5339, 0.534, 0.5341, 0.5342, 0.5343, 0.5344, 0.5345, 0.5346, 0.5347, 0.5348, 0.5349, 0.535, 0.5351, 0.5352, 0.5353, 0.5354, 0.5355, 0.5356, 0.5357, 0.5358, 0.5359, 0.536, 0.5361, 0.5362, 0.5363, 0.5364, 0.5365, 0.5366, 0.5367, 0.5367999999999999, 0.5369, 0.537, 0.5371, 0.5372, 0.5373, 0.5374, 0.5375, 0.5376, 0.5377, 0.5378000000000001, 0.5379, 0.538, 0.5381, 0.5382, 0.5383, 0.5384, 0.5385, 0.5386, 0.5387, 0.5388, 0.5389, 0.539, 0.5391, 0.5392, 0.5393, 0.5394, 0.5395, 0.5396, 0.5397, 0.5398000000000001, 0.5399, 0.54, 0.5401, 0.5402, 0.5403, 0.5404, 0.5405, 0.5406, 0.5407, 0.5408, 0.5409, 0.541, 0.5411, 0.5412, 0.5413, 0.5414, 0.5415, 0.5416, 0.5417, 0.5418000000000001, 0.5419, 0.542, 0.5421, 0.5422, 0.5423, 0.5424, 0.5425, 0.5426, 0.5427, 0.5428, 0.5429, 0.543, 0.5431, 0.5432, 0.5433, 0.5434, 0.5435, 0.5436, 0.5437, 0.5438, 0.5439, 0.544, 0.5441, 0.5442, 0.5443, 0.5444, 0.5445, 0.5446, 0.5447, 0.5448, 0.5449, 0.545, 0.5451, 0.5452, 0.5453, 0.5454, 0.5455, 0.5456, 0.5457, 0.5458, 0.5459, 0.546, 0.5461, 0.5462, 0.5463, 0.5464, 0.5465, 0.5466, 0.5467, 0.5468, 0.5469, 0.547, 0.5471, 0.5472, 0.5473, 0.5474, 0.5475, 0.5476, 0.5477, 0.5478, 0.5479, 0.548, 0.5481, 0.5482, 0.5483, 0.5484, 0.5485, 0.5486, 0.5487, 0.5488, 0.5488999999999999, 0.549, 0.5491, 0.5492, 0.5493, 0.5494, 0.5495, 0.5496, 0.5497, 0.5498, 0.5499, 0.55, 0.5501, 0.5502, 0.5503, 0.5504, 0.5505, 0.5506, 0.5507, 0.5508, 0.5509, 0.551, 0.5511, 0.5512, 0.5513, 0.5514, 0.5515, 0.5516, 0.5517, 0.5518, 0.5519000000000001, 0.552, 0.5521, 0.5522, 0.5523, 0.5524, 0.5525, 0.5526, 0.5527, 0.5528, 0.5529, 0.553, 0.5531, 0.5532, 0.5533, 0.5534, 0.5535, 0.5536, 0.5537, 0.5538, 0.5539000000000001, 0.554, 0.5541, 0.5542, 0.5543, 0.5544, 0.5545, 0.5546, 0.5547, 0.5548, 0.5549, 0.555, 0.5551, 0.5552, 0.5553, 0.5554, 0.5555, 0.5556, 0.5557, 0.5558, 0.5559000000000001, 0.556, 0.5561, 0.5562, 0.5563, 0.5564, 0.5565, 0.5566, 0.5567, 0.5568, 0.5569, 0.557, 0.5571, 0.5572, 0.5573, 0.5574, 0.5575, 0.5576, 0.5577, 0.5578, 0.5579, 0.558, 0.5581, 0.5582, 0.5583, 0.5584, 0.5585, 0.5586, 0.5587, 0.5588, 0.5589, 0.559, 0.5591, 0.5592, 0.5593, 0.5594, 0.5595, 0.5596, 0.5597, 0.5598, 0.5599, 0.56, 0.5601, 0.5602, 0.5603, 0.5604, 0.5605, 0.5606, 0.5607, 0.5608, 0.5609, 0.561, 0.5611, 0.5612, 0.5613, 0.5614, 0.5615, 0.5616, 0.5617, 0.5618, 0.5619, 0.562, 0.5621, 0.5622, 0.5623, 0.5624, 0.5625, 0.5626, 0.5627, 0.5628, 0.5629, 0.563, 0.5631, 0.5632, 0.5633, 0.5634, 0.5635, 0.5636, 0.5637, 0.5638, 0.5639, 0.5640000000000001, 0.5641, 0.5642, 0.5643, 0.5644, 0.5645, 0.5646, 0.5647, 0.5648, 0.5649, 0.565, 0.5651, 0.5652, 0.5653, 0.5654, 0.5655, 0.5656, 0.5657, 0.5658, 0.5659, 0.5660000000000001, 0.5661, 0.5662, 0.5663, 0.5664, 0.5665, 0.5666, 0.5667, 0.5668, 0.5669, 0.567, 0.5671, 0.5672, 0.5673, 0.5674, 0.5675, 0.5676, 0.5677, 0.5678, 0.5679, 0.5680000000000001, 0.5681, 0.5682, 0.5683, 0.5684, 0.5685, 0.5686, 0.5687, 0.5688, 0.5689, 0.569, 0.5691, 0.5692, 0.5693, 0.5694, 0.5695, 0.5696, 0.5697, 0.5698, 0.5699, 0.5700000000000001, 0.5701, 0.5702, 0.5703, 0.5704, 0.5705, 0.5706, 0.5707, 0.5708, 0.5709, 0.571, 0.5710999999999999, 0.5712, 0.5713, 0.5714, 0.5715, 0.5716, 0.5717, 0.5718, 0.5719, 0.5720000000000001, 0.5721, 0.5722, 0.5723, 0.5724, 0.5725, 0.5726, 0.5727, 0.5728, 0.5729, 0.573, 0.5730999999999999, 0.5732, 0.5733, 0.5734, 0.5735, 0.5736, 0.5737, 0.5738, 0.5739, 0.5740000000000001, 0.5741, 0.5742, 0.5743, 0.5744, 0.5745, 0.5746, 0.5747, 0.5748, 0.5749, 0.575, 0.5751, 0.5752, 0.5753, 0.5754, 0.5755, 0.5756, 0.5757, 0.5758, 0.5759, 0.576, 0.5761000000000001, 0.5762, 0.5763, 0.5764, 0.5765, 0.5766, 0.5767, 0.5768, 0.5769, 0.577, 0.5771, 0.5772, 0.5773, 0.5774, 0.5775, 0.5776, 0.5777, 0.5778, 0.5779, 0.578, 0.5781000000000001, 0.5782, 0.5783, 0.5784, 0.5785, 0.5786, 0.5787, 0.5788, 0.5789, 0.579, 0.5791, 0.5792, 0.5793, 0.5794, 0.5795, 0.5796, 0.5797, 0.5798, 0.5799, 0.58, 0.5801000000000001, 0.5802, 0.5803, 0.5804, 0.5805, 0.5806, 0.5807, 0.5808, 0.5809, 0.581, 0.5811, 0.5812, 0.5813, 0.5814, 0.5815, 0.5816, 0.5817, 0.5818, 0.5819, 0.582, 0.5821000000000001, 0.5822, 0.5823, 0.5824, 0.5825, 0.5826, 0.5827, 0.5828, 0.5829, 0.583, 0.5831, 0.5832, 0.5833, 0.5834, 0.5835, 0.5836, 0.5837, 0.5838, 0.5839, 0.584, 0.5841000000000001, 0.5842, 0.5843, 0.5844, 0.5845, 0.5846, 0.5847, 0.5848, 0.5849, 0.585, 0.5851, 0.5851999999999999, 0.5853, 0.5854, 0.5855, 0.5856, 0.5857, 0.5858, 0.5859, 0.586, 0.5861000000000001, 0.5862, 0.5863, 0.5864, 0.5865, 0.5866, 0.5867, 0.5868, 0.5869, 0.587, 0.5871, 0.5871999999999999, 0.5873, 0.5874, 0.5875, 0.5876, 0.5877, 0.5878, 0.5879, 0.588, 0.5881, 0.5882000000000001, 0.5883, 0.5884, 0.5885, 0.5886, 0.5887, 0.5888, 0.5889, 0.589, 0.5891, 0.5892, 0.5893, 0.5894, 0.5895, 0.5896, 0.5897, 0.5898, 0.5899, 0.59, 0.5901, 0.5902000000000001, 0.5903, 0.5904, 0.5905, 0.5906, 0.5907, 0.5908, 0.5909, 0.591, 0.5911, 0.5912, 0.5913, 0.5914, 0.5915, 0.5916, 0.5917, 0.5918, 0.5919, 0.592, 0.5921, 0.5922000000000001, 0.5923, 0.5924, 0.5925, 0.5926, 0.5927, 0.5928, 0.5929, 0.593, 0.5931, 0.5932, 0.5933, 0.5934, 0.5935, 0.5936, 0.5937, 0.5938, 0.5939, 0.594, 0.5941, 0.5942000000000001, 0.5943, 0.5944, 0.5945, 0.5946, 0.5947, 0.5948, 0.5949, 0.595, 0.5951, 0.5952, 0.5953, 0.5954, 0.5955, 0.5956, 0.5957, 0.5958, 0.5959, 0.596, 0.5961, 0.5962000000000001, 0.5963, 0.5964, 0.5965, 0.5966, 0.5967, 0.5968, 0.5969, 0.597, 0.5971, 0.5972, 0.5973, 0.5974, 0.5975, 0.5976, 0.5977, 0.5978, 0.5979, 0.598, 0.5981, 0.5982000000000001, 0.5983, 0.5984, 0.5985, 0.5986, 0.5987, 0.5988, 0.5989, 0.599, 0.5991, 0.5992, 0.5992999999999999, 0.5994, 0.5995, 0.5996, 0.5997, 0.5998, 0.5999, 0.6, 0.6001, 0.6002000000000001, 0.6003000000000001, 0.6004, 0.6005, 0.6006, 0.6007, 0.6008, 0.6009, 0.601, 0.6011, 0.6012, 0.6013, 0.6014, 0.6015, 0.6016, 0.6017, 0.6018, 0.6019, 0.602, 0.6021, 0.6022, 0.6023000000000001, 0.6024, 0.6025, 0.6026, 0.6027, 0.6028, 0.6029, 0.603, 0.6031, 0.6032, 0.6033, 0.6034, 0.6035, 0.6036, 0.6037, 0.6038, 0.6039, 0.604, 0.6041, 0.6042, 0.6043000000000001, 0.6044, 0.6045, 0.6046, 0.6047, 0.6048, 0.6049, 0.605, 0.6051, 0.6052, 0.6053, 0.6054, 0.6055, 0.6056, 0.6057, 0.6058, 0.6059, 0.606, 0.6061, 0.6062, 0.6063000000000001, 0.6064, 0.6065, 0.6066, 0.6067, 0.6068, 0.6069, 0.607, 0.6071, 0.6072, 0.6073, 0.6074, 0.6075, 0.6076, 0.6077, 0.6078, 0.6079, 0.608, 0.6081, 0.6082, 0.6083000000000001, 0.6084, 0.6085, 0.6086, 0.6087, 0.6088, 0.6089, 0.609, 0.6091, 0.6092, 0.6093, 0.6094, 0.6095, 0.6096, 0.6097, 0.6098, 0.6099, 0.61, 0.6101, 0.6102, 0.6103000000000001, 0.6104, 0.6105, 0.6106, 0.6107, 0.6108, 0.6109, 0.611, 0.6111, 0.6112, 0.6113, 0.6113999999999999, 0.6115, 0.6116, 0.6117, 0.6118, 0.6119, 0.612, 0.6121, 0.6122, 0.6123000000000001, 0.6124, 0.6125, 0.6126, 0.6127, 0.6128, 0.6129, 0.613, 0.6131, 0.6132, 0.6133, 0.6134, 0.6135, 0.6136, 0.6137, 0.6138, 0.6139, 0.614, 0.6141, 0.6142, 0.6143, 0.6144000000000001, 0.6145, 0.6146, 0.6147, 0.6148, 0.6149, 0.615, 0.6151, 0.6152, 0.6153, 0.6154, 0.6155, 0.6156, 0.6157, 0.6158, 0.6159, 0.616, 0.6161, 0.6162, 0.6163, 0.6164000000000001, 0.6165, 0.6166, 0.6167, 0.6168, 0.6169, 0.617, 0.6171, 0.6172, 0.6173, 0.6174, 0.6175, 0.6176, 0.6177, 0.6178, 0.6179, 0.618, 0.6181, 0.6182, 0.6183, 0.6184000000000001, 0.6185, 0.6186, 0.6187, 0.6188, 0.6189, 0.619, 0.6191, 0.6192, 0.6193, 0.6194, 0.6195, 0.6196, 0.6197, 0.6198, 0.6199, 0.62, 0.6201, 0.6202, 0.6203, 0.6204000000000001, 0.6205, 0.6206, 0.6207, 0.6208, 0.6209, 0.621, 0.6211, 0.6212, 0.6213, 0.6214, 0.6215, 0.6216, 0.6217, 0.6218, 0.6219, 0.622, 0.6221, 0.6222, 0.6223, 0.6224000000000001, 0.6225, 0.6226, 0.6227, 0.6228, 0.6229, 0.623, 0.6231, 0.6232, 0.6233, 0.6234, 0.6235, 0.6236, 0.6237, 0.6238, 0.6239, 0.624, 0.6241, 0.6242, 0.6243, 0.6244000000000001, 0.6245, 0.6246, 0.6247, 0.6248, 0.6249, 0.625, 0.6251, 0.6252, 0.6253, 0.6254, 0.6255, 0.6256, 0.6257, 0.6258, 0.6259, 0.626, 0.6261, 0.6262, 0.6263, 0.6264000000000001, 0.6265000000000001, 0.6266, 0.6267, 0.6268, 0.6269, 0.627, 0.6271, 0.6272, 0.6273, 0.6274, 0.6275, 0.6276, 0.6277, 0.6278, 0.6279, 0.628, 0.6281, 0.6282, 0.6283, 0.6284000000000001, 0.6285000000000001, 0.6286, 0.6287, 0.6288, 0.6289, 0.629, 0.6291, 0.6292, 0.6293, 0.6294, 0.6295, 0.6295999999999999, 0.6297, 0.6298, 0.6299, 0.63, 0.6301, 0.6302, 0.6303, 0.6304000000000001, 0.6305000000000001, 0.6306, 0.6307, 0.6308, 0.6309, 0.631, 0.6311, 0.6312, 0.6313, 0.6314, 0.6315, 0.6315999999999999, 0.6317, 0.6318, 0.6319, 0.632, 0.6321, 0.6322, 0.6323, 0.6324000000000001, 0.6325000000000001, 0.6326, 0.6327, 0.6328, 0.6329, 0.633, 0.6331, 0.6332, 0.6333, 0.6334, 0.6335, 0.6335999999999999, 0.6337, 0.6338, 0.6339, 0.634, 0.6341, 0.6342, 0.6343, 0.6344000000000001, 0.6345000000000001, 0.6346, 0.6347, 0.6348, 0.6349, 0.635, 0.6351, 0.6352, 0.6353, 0.6354, 0.6355, 0.6355999999999999, 0.6357, 0.6358, 0.6359, 0.636, 0.6361, 0.6362, 0.6363, 0.6364, 0.6365000000000001, 0.6366, 0.6367, 0.6368, 0.6369, 0.637, 0.6371, 0.6372, 0.6373, 0.6374, 0.6375, 0.6376, 0.6377, 0.6378, 0.6379, 0.638, 0.6381, 0.6382, 0.6383, 0.6384, 0.6385000000000001, 0.6386000000000001, 0.6387, 0.6388, 0.6389, 0.639, 0.6391, 0.6392, 0.6393, 0.6394, 0.6395, 0.6396, 0.6397, 0.6398, 0.6399, 0.64, 0.6401, 0.6402, 0.6403, 0.6404, 0.6405000000000001, 0.6406000000000001, 0.6407, 0.6408, 0.6409, 0.641, 0.6411, 0.6412, 0.6413, 0.6414, 0.6415, 0.6416, 0.6417, 0.6418, 0.6419, 0.642, 0.6421, 0.6422, 0.6423, 0.6424, 0.6425000000000001, 0.6426000000000001, 0.6427, 0.6428, 0.6429, 0.643, 0.6431, 0.6432, 0.6433, 0.6434, 0.6435, 0.6436, 0.6436999999999999, 0.6438, 0.6439, 0.644, 0.6441, 0.6442, 0.6443, 0.6444, 0.6445000000000001, 0.6446000000000001, 0.6447, 0.6448, 0.6449, 0.645, 0.6451, 0.6452, 0.6453, 0.6454, 0.6455, 0.6456, 0.6456999999999999, 0.6458, 0.6459, 0.646, 0.6461, 0.6462, 0.6463, 0.6464, 0.6465000000000001, 0.6466000000000001, 0.6467, 0.6468, 0.6469, 0.647, 0.6471, 0.6472, 0.6473, 0.6474, 0.6475, 0.6476, 0.6476999999999999, 0.6478, 0.6479, 0.648, 0.6481, 0.6482, 0.6483, 0.6484, 0.6485000000000001, 0.6486000000000001, 0.6487, 0.6488, 0.6489, 0.649, 0.6491, 0.6492, 0.6493, 0.6494, 0.6495, 0.6496, 0.6496999999999999, 0.6498, 0.6499, 0.65, 0.6501, 0.6502, 0.6503, 0.6504, 0.6505, 0.6506000000000001, 0.6507000000000001, 0.6508, 0.6509, 0.651, 0.6511, 0.6512, 0.6513, 0.6514, 0.6515, 0.6516, 0.6517, 0.6518, 0.6519, 0.652, 0.6521, 0.6522, 0.6523, 0.6524, 0.6525, 0.6526000000000001, 0.6527000000000001, 0.6528, 0.6529, 0.653, 0.6531, 0.6532, 0.6533, 0.6534, 0.6535, 0.6536, 0.6537, 0.6538, 0.6539, 0.654, 0.6541, 0.6542, 0.6543, 0.6544, 0.6545, 0.6546000000000001, 0.6547000000000001, 0.6548, 0.6549, 0.655, 0.6551, 0.6552, 0.6553, 0.6554, 0.6555, 0.6556, 0.6557, 0.6557999999999999, 0.6559, 0.656, 0.6561, 0.6562, 0.6563, 0.6564, 0.6565, 0.6566000000000001, 0.6567000000000001, 0.6568, 0.6569, 0.657, 0.6571, 0.6572, 0.6573, 0.6574, 0.6575, 0.6576, 0.6577, 0.6577999999999999, 0.6579, 0.658, 0.6581, 0.6582, 0.6583, 0.6584, 0.6585, 0.6586000000000001, 0.6587000000000001, 0.6588, 0.6589, 0.659, 0.6591, 0.6592, 0.6593, 0.6594, 0.6595, 0.6596, 0.6597, 0.6597999999999999, 0.6599, 0.66, 0.6601, 0.6602, 0.6603, 0.6604, 0.6605, 0.6606000000000001, 0.6607000000000001, 0.6608, 0.6609, 0.661, 0.6611, 0.6612, 0.6613, 0.6614, 0.6615, 0.6616, 0.6617, 0.6617999999999999, 0.6619, 0.662, 0.6621, 0.6622, 0.6623, 0.6624, 0.6625, 0.6626, 0.6627000000000001, 0.6628000000000001, 0.6629, 0.663, 0.6631, 0.6632, 0.6633, 0.6634, 0.6635, 0.6636, 0.6637, 0.6638, 0.6639, 0.664, 0.6641, 0.6642, 0.6643, 0.6644, 0.6645, 0.6646, 0.6647000000000001, 0.6648000000000001, 0.6649, 0.665, 0.6651, 0.6652, 0.6653, 0.6654, 0.6655, 0.6656, 0.6657, 0.6658, 0.6659, 0.666, 0.6661, 0.6662, 0.6663, 0.6664, 0.6665, 0.6666, 0.6667000000000001, 0.6668000000000001, 0.6669, 0.667, 0.6671, 0.6672, 0.6673, 0.6674, 0.6675, 0.6676, 0.6677, 0.6678, 0.6679, 0.668, 0.6681, 0.6682, 0.6683, 0.6684, 0.6685, 0.6686, 0.6687000000000001, 0.6688000000000001, 0.6689, 0.669, 0.6691, 0.6692, 0.6693, 0.6694, 0.6695, 0.6696, 0.6697, 0.6698, 0.6698999999999999, 0.67, 0.6701, 0.6702, 0.6703, 0.6704, 0.6705, 0.6706, 0.6707000000000001, 0.6708000000000001, 0.6709, 0.671, 0.6711, 0.6712, 0.6713, 0.6714, 0.6715, 0.6716, 0.6717, 0.6718, 0.6718999999999999, 0.672, 0.6721, 0.6722, 0.6723, 0.6724, 0.6725, 0.6726, 0.6727000000000001, 0.6728000000000001, 0.6729, 0.673, 0.6731, 0.6732, 0.6733, 0.6734, 0.6735, 0.6736, 0.6737, 0.6738, 0.6738999999999999, 0.674, 0.6741, 0.6742, 0.6743, 0.6744, 0.6745, 0.6746, 0.6747000000000001, 0.6748000000000001, 0.6749, 0.675, 0.6751, 0.6752, 0.6753, 0.6754, 0.6755, 0.6756, 0.6757, 0.6758, 0.6759, 0.676, 0.6761, 0.6762, 0.6763, 0.6764, 0.6765, 0.6766, 0.6767, 0.6768000000000001, 0.6769000000000001, 0.677, 0.6771, 0.6772, 0.6773, 0.6774, 0.6775, 0.6776, 0.6777, 0.6778, 0.6779, 0.678, 0.6781, 0.6782, 0.6783, 0.6784, 0.6785, 0.6786, 0.6787, 0.6788000000000001, 0.6789000000000001, 0.679, 0.6791, 0.6792, 0.6793, 0.6794, 0.6795, 0.6796, 0.6797, 0.6798, 0.6799, 0.68, 0.6801, 0.6802, 0.6803, 0.6804, 0.6805, 0.6806, 0.6807, 0.6808000000000001, 0.6809000000000001, 0.681, 0.6811, 0.6812, 0.6813, 0.6814, 0.6815, 0.6816, 0.6817, 0.6818, 0.6819, 0.6819999999999999, 0.6821, 0.6822, 0.6823, 0.6824, 0.6825, 0.6826, 0.6827, 0.6828000000000001, 0.6829000000000001, 0.683, 0.6831, 0.6832, 0.6833, 0.6834, 0.6835, 0.6836, 0.6837, 0.6838, 0.6839, 0.6839999999999999, 0.6841, 0.6842, 0.6843, 0.6844, 0.6845, 0.6846, 0.6847, 0.6848000000000001, 0.6849000000000001, 0.685, 0.6851, 0.6852, 0.6853, 0.6854, 0.6855, 0.6856, 0.6857, 0.6858, 0.6859, 0.6859999999999999, 0.6861, 0.6862, 0.6863, 0.6864, 0.6865, 0.6866, 0.6867, 0.6868000000000001, 0.6869000000000001, 0.687, 0.6871, 0.6872, 0.6873, 0.6874, 0.6875, 0.6876, 0.6877, 0.6878, 0.6879, 0.688, 0.6881, 0.6882, 0.6883, 0.6884, 0.6885, 0.6886, 0.6887, 0.6888, 0.6889000000000001, 0.6890000000000001, 0.6891, 0.6892, 0.6893, 0.6894, 0.6895, 0.6896, 0.6897, 0.6898, 0.6899, 0.69, 0.6901, 0.6902, 0.6903, 0.6904, 0.6905, 0.6906, 0.6907, 0.6908, 0.6909000000000001, 0.6910000000000001, 0.6911, 0.6912, 0.6913, 0.6914, 0.6915, 0.6916, 0.6917, 0.6918, 0.6919, 0.692, 0.6921, 0.6922, 0.6923, 0.6924, 0.6925, 0.6926, 0.6927, 0.6928, 0.6929000000000001, 0.6930000000000001, 0.6931, 0.6932, 0.6933, 0.6934, 0.6935, 0.6936, 0.6937, 0.6938, 0.6939, 0.694, 0.6941, 0.6942, 0.6943, 0.6944, 0.6945, 0.6946, 0.6947, 0.6948, 0.6949000000000001, 0.6950000000000001, 0.6951, 0.6952, 0.6953, 0.6954, 0.6955, 0.6956, 0.6957, 0.6958, 0.6959, 0.696, 0.6960999999999999, 0.6962, 0.6963, 0.6964, 0.6965, 0.6966, 0.6967, 0.6968, 0.6969000000000001, 0.6970000000000001, 0.6971, 0.6972, 0.6973, 0.6974, 0.6975, 0.6976, 0.6977, 0.6978, 0.6979, 0.698, 0.6980999999999999, 0.6982, 0.6983, 0.6984, 0.6985, 0.6986, 0.6987, 0.6988, 0.6989000000000001, 0.6990000000000001, 0.6991, 0.6992, 0.6993, 0.6994, 0.6995, 0.6996, 0.6997, 0.6998, 0.6999, 0.7, 0.7001, 0.7002, 0.7003, 0.7004, 0.7005, 0.7006, 0.7007, 0.7008, 0.7009000000000001, 0.7010000000000001, 0.7011000000000001, 0.7012, 0.7013, 0.7014, 0.7015, 0.7016, 0.7017, 0.7018, 0.7019, 0.702, 0.7021, 0.7022, 0.7023, 0.7024, 0.7025, 0.7026, 0.7027, 0.7028, 0.7029, 0.7030000000000001, 0.7031000000000001, 0.7032, 0.7033, 0.7034, 0.7035, 0.7036, 0.7037, 0.7038, 0.7039, 0.704, 0.7041, 0.7042, 0.7043, 0.7044, 0.7045, 0.7046, 0.7047, 0.7048, 0.7049, 0.7050000000000001, 0.7051000000000001, 0.7052, 0.7053, 0.7054, 0.7055, 0.7056, 0.7057, 0.7058, 0.7059, 0.706, 0.7061, 0.7062, 0.7063, 0.7064, 0.7065, 0.7066, 0.7067, 0.7068, 0.7069, 0.7070000000000001, 0.7071000000000001, 0.7072, 0.7073, 0.7074, 0.7075, 0.7076, 0.7077, 0.7078, 0.7079, 0.708, 0.7081, 0.7081999999999999, 0.7083, 0.7084, 0.7085, 0.7086, 0.7087, 0.7088, 0.7089, 0.7090000000000001, 0.7091000000000001, 0.7092, 0.7093, 0.7094, 0.7095, 0.7096, 0.7097, 0.7098, 0.7099, 0.71, 0.7101, 0.7101999999999999, 0.7103, 0.7104, 0.7105, 0.7106, 0.7107, 0.7108, 0.7109, 0.7110000000000001, 0.7111000000000001, 0.7112, 0.7113, 0.7114, 0.7115, 0.7116, 0.7117, 0.7118, 0.7119, 0.712, 0.7121, 0.7121999999999999, 0.7123, 0.7124, 0.7125, 0.7126, 0.7127, 0.7128, 0.7129, 0.7130000000000001, 0.7131000000000001, 0.7132000000000001, 0.7133, 0.7134, 0.7135, 0.7136, 0.7137, 0.7138, 0.7139, 0.714, 0.7141, 0.7142, 0.7143, 0.7144, 0.7145, 0.7146, 0.7147, 0.7148, 0.7149, 0.715, 0.7151000000000001, 0.7152000000000001, 0.7153, 0.7154, 0.7155, 0.7156, 0.7157, 0.7158, 0.7159, 0.716, 0.7161, 0.7162, 0.7163, 0.7164, 0.7165, 0.7166, 0.7167, 0.7168, 0.7169, 0.717, 0.7171000000000001, 0.7172000000000001, 0.7173, 0.7174, 0.7175, 0.7176, 0.7177, 0.7178, 0.7179, 0.718, 0.7181, 0.7182, 0.7183, 0.7184, 0.7185, 0.7186, 0.7187, 0.7188, 0.7189, 0.719, 0.7191000000000001, 0.7192000000000001, 0.7193, 0.7194, 0.7195, 0.7196, 0.7197, 0.7198, 0.7199, 0.72, 0.7201, 0.7202, 0.7203, 0.7204, 0.7205, 0.7206, 0.7207, 0.7208, 0.7209, 0.721, 0.7211000000000001, 0.7212000000000001, 0.7213, 0.7214, 0.7215, 0.7216, 0.7217, 0.7218, 0.7219, 0.722, 0.7221, 0.7222, 0.7222999999999999, 0.7224, 0.7225, 0.7226, 0.7227, 0.7228, 0.7229, 0.723, 0.7231000000000001, 0.7232000000000001, 0.7233, 0.7234, 0.7235, 0.7236, 0.7237, 0.7238, 0.7239, 0.724, 0.7241, 0.7242, 0.7242999999999999, 0.7244, 0.7245, 0.7246, 0.7247, 0.7248, 0.7249, 0.725, 0.7251000000000001, 0.7252000000000001, 0.7253000000000001, 0.7254, 0.7255, 0.7256, 0.7257, 0.7258, 0.7259, 0.726, 0.7261, 0.7262, 0.7263, 0.7264, 0.7265, 0.7266, 0.7267, 0.7268, 0.7269, 0.727, 0.7271000000000001, 0.7272000000000001, 0.7273000000000001, 0.7274, 0.7275, 0.7276, 0.7277, 0.7278, 0.7279, 0.728, 0.7281, 0.7282, 0.7283, 0.7284, 0.7285, 0.7286, 0.7287, 0.7288, 0.7289, 0.729, 0.7291, 0.7292000000000001, 0.7293000000000001, 0.7294, 0.7295, 0.7296, 0.7297, 0.7298, 0.7299, 0.73, 0.7301, 0.7302, 0.7303, 0.7304, 0.7305, 0.7306, 0.7307, 0.7308, 0.7309, 0.731, 0.7311, 0.7312000000000001, 0.7313000000000001, 0.7314, 0.7315, 0.7316, 0.7317, 0.7318, 0.7319, 0.732, 0.7321, 0.7322, 0.7323, 0.7324, 0.7325, 0.7326, 0.7327, 0.7328, 0.7329, 0.733, 0.7331, 0.7332000000000001, 0.7333000000000001, 0.7334, 0.7335, 0.7336, 0.7337, 0.7338, 0.7339, 0.734, 0.7341, 0.7342, 0.7343, 0.7344, 0.7345, 0.7346, 0.7347, 0.7348, 0.7349, 0.735, 0.7351, 0.7352000000000001, 0.7353000000000001, 0.7354, 0.7355, 0.7356, 0.7357, 0.7358, 0.7359, 0.736, 0.7361, 0.7362, 0.7363, 0.7363999999999999, 0.7365, 0.7366, 0.7367, 0.7368, 0.7369, 0.737, 0.7371, 0.7372000000000001, 0.7373000000000001, 0.7374, 0.7375, 0.7376, 0.7377, 0.7378, 0.7379, 0.738, 0.7381, 0.7382, 0.7383, 0.7384, 0.7385, 0.7386, 0.7387, 0.7388, 0.7389, 0.739, 0.7391, 0.7392000000000001, 0.7393000000000001, 0.7394000000000001, 0.7395, 0.7396, 0.7397, 0.7398, 0.7399, 0.74, 0.7401, 0.7402, 0.7403, 0.7404, 0.7405, 0.7406, 0.7407, 0.7408, 0.7409, 0.741, 0.7411, 0.7412, 0.7413000000000001, 0.7414000000000001, 0.7415, 0.7416, 0.7417, 0.7418, 0.7419, 0.742, 0.7421, 0.7422, 0.7423, 0.7424, 0.7425, 0.7426, 0.7427, 0.7428, 0.7429, 0.743, 0.7431, 0.7432, 0.7433000000000001, 0.7434000000000001, 0.7435, 0.7436, 0.7437, 0.7438, 0.7439, 0.744, 0.7441, 0.7442, 0.7443, 0.7444, 0.7445, 0.7446, 0.7447, 0.7448, 0.7449, 0.745, 0.7451, 0.7452, 0.7453000000000001, 0.7454000000000001, 0.7455, 0.7456, 0.7457, 0.7458, 0.7459, 0.746, 0.7461, 0.7462, 0.7463, 0.7464, 0.7465, 0.7466, 0.7467, 0.7468, 0.7469, 0.747, 0.7471, 0.7472, 0.7473000000000001, 0.7474000000000001, 0.7475, 0.7476, 0.7477, 0.7478, 0.7479, 0.748, 0.7481, 0.7482, 0.7483, 0.7484, 0.7484999999999999, 0.7486, 0.7487, 0.7488, 0.7489, 0.749, 0.7491, 0.7492, 0.7493000000000001, 0.7494000000000001, 0.7495, 0.7496, 0.7497, 0.7498, 0.7499, 0.75, 0.7501, 0.7502, 0.7503, 0.7504, 0.7505, 0.7505999999999999, 0.7507, 0.7508, 0.7509, 0.751, 0.7511, 0.7512000000000001, 0.7513000000000001, 0.7514000000000001, 0.7515000000000001, 0.7516, 0.7517, 0.7518, 0.7519, 0.752, 0.7521, 0.7522, 0.7523, 0.7524, 0.7525, 0.7525999999999999, 0.7527, 0.7528, 0.7529, 0.753, 0.7531, 0.7532000000000001, 0.7533000000000001, 0.7534000000000001, 0.7535000000000001, 0.7536, 0.7537, 0.7538, 0.7539, 0.754, 0.7541, 0.7542, 0.7543, 0.7544, 0.7545, 0.7545999999999999, 0.7547, 0.7548, 0.7549, 0.755, 0.7551, 0.7552000000000001, 0.7553000000000001, 0.7554000000000001, 0.7555000000000001, 0.7556, 0.7557, 0.7558, 0.7559, 0.756, 0.7561, 0.7562, 0.7563, 0.7564, 0.7565, 0.7565999999999999, 0.7567, 0.7568, 0.7569, 0.757, 0.7571, 0.7572000000000001, 0.7573000000000001, 0.7574000000000001, 0.7575000000000001, 0.7576, 0.7577, 0.7578, 0.7579, 0.758, 0.7581, 0.7582, 0.7583, 0.7584, 0.7585, 0.7585999999999999, 0.7586999999999999, 0.7588, 0.7589, 0.759, 0.7591, 0.7592, 0.7593000000000001, 0.7594000000000001, 0.7595000000000001, 0.7596, 0.7597, 0.7598, 0.7599, 0.76, 0.7601, 0.7602, 0.7603, 0.7604, 0.7605, 0.7605999999999999, 0.7606999999999999, 0.7608, 0.7609, 0.761, 0.7611, 0.7612, 0.7613000000000001, 0.7614000000000001, 0.7615000000000001, 0.7616, 0.7617, 0.7618, 0.7619, 0.762, 0.7621, 0.7622, 0.7623, 0.7624, 0.7625, 0.7626, 0.7626999999999999, 0.7628, 0.7629, 0.763, 0.7631, 0.7632, 0.7633000000000001, 0.7634000000000001, 0.7635000000000001, 0.7636000000000001, 0.7637, 0.7638, 0.7639, 0.764, 0.7641, 0.7642, 0.7643, 0.7644, 0.7645, 0.7646, 0.7646999999999999, 0.7648, 0.7649, 0.765, 0.7651, 0.7652, 0.7653000000000001, 0.7654000000000001, 0.7655000000000001, 0.7656000000000001, 0.7657, 0.7658, 0.7659, 0.766, 0.7661, 0.7662, 0.7663, 0.7664, 0.7665, 0.7666, 0.7666999999999999, 0.7668, 0.7669, 0.767, 0.7671, 0.7672, 0.7673000000000001, 0.7674000000000001, 0.7675000000000001, 0.7676000000000001, 0.7677, 0.7678, 0.7679, 0.768, 0.7681, 0.7682, 0.7683, 0.7684, 0.7685, 0.7686, 0.7686999999999999, 0.7688, 0.7689, 0.769, 0.7691, 0.7692, 0.7693000000000001, 0.7694000000000001, 0.7695000000000001, 0.7696000000000001, 0.7697, 0.7698, 0.7699, 0.77, 0.7701, 0.7702, 0.7703, 0.7704, 0.7705, 0.7706, 0.7706999999999999, 0.7708, 0.7709, 0.771, 0.7711, 0.7712, 0.7713, 0.7714000000000001, 0.7715000000000001, 0.7716000000000001, 0.7717, 0.7718, 0.7719, 0.772, 0.7721, 0.7722, 0.7723, 0.7724, 0.7725, 0.7726, 0.7726999999999999, 0.7727999999999999, 0.7729, 0.773, 0.7731, 0.7732, 0.7733, 0.7734000000000001, 0.7735000000000001, 0.7736000000000001, 0.7737, 0.7738, 0.7739, 0.774, 0.7741, 0.7742, 0.7743, 0.7744, 0.7745, 0.7746, 0.7746999999999999, 0.7747999999999999, 0.7749, 0.775, 0.7751, 0.7752, 0.7753, 0.7754000000000001, 0.7755000000000001, 0.7756000000000001, 0.7757000000000001, 0.7758, 0.7759, 0.776, 0.7761, 0.7762, 0.7763, 0.7764, 0.7765, 0.7766, 0.7767, 0.7767999999999999, 0.7769, 0.777, 0.7771, 0.7772, 0.7773, 0.7774000000000001, 0.7775000000000001, 0.7776000000000001, 0.7777000000000001, 0.7778, 0.7779, 0.778, 0.7781, 0.7782, 0.7783, 0.7784, 0.7785, 0.7786, 0.7787, 0.7787999999999999, 0.7789, 0.779, 0.7791, 0.7792, 0.7793, 0.7794000000000001, 0.7795000000000001, 0.7796000000000001, 0.7797000000000001, 0.7798, 0.7799, 0.78, 0.7801, 0.7802, 0.7803, 0.7804, 0.7805, 0.7806, 0.7807, 0.7807999999999999, 0.7809, 0.781, 0.7811, 0.7812, 0.7813, 0.7814000000000001, 0.7815000000000001, 0.7816000000000001, 0.7817000000000001, 0.7818, 0.7819, 0.782, 0.7821, 0.7822, 0.7823, 0.7824, 0.7825, 0.7826, 0.7827, 0.7827999999999999, 0.7829, 0.783, 0.7831, 0.7832, 0.7833, 0.7834000000000001, 0.7835000000000001, 0.7836000000000001, 0.7837000000000001, 0.7838, 0.7839, 0.784, 0.7841, 0.7842, 0.7843, 0.7844, 0.7845, 0.7846, 0.7847, 0.7847999999999999, 0.7848999999999999, 0.785, 0.7851, 0.7852, 0.7853, 0.7854, 0.7855000000000001, 0.7856000000000001, 0.7857000000000001, 0.7858, 0.7859, 0.786, 0.7861, 0.7862, 0.7863, 0.7864, 0.7865, 0.7866, 0.7867, 0.7867999999999999, 0.7868999999999999, 0.787, 0.7871, 0.7872, 0.7873, 0.7874, 0.7875000000000001, 0.7876000000000001, 0.7877000000000001, 0.7878000000000001, 0.7879, 0.788, 0.7881, 0.7882, 0.7883, 0.7884, 0.7885, 0.7886, 0.7887, 0.7888, 0.7888999999999999, 0.789, 0.7891, 0.7892, 0.7893, 0.7894, 0.7895000000000001, 0.7896000000000001, 0.7897000000000001, 0.7898000000000001, 0.7899, 0.79, 0.7901, 0.7902, 0.7903, 0.7904, 0.7905, 0.7906, 0.7907, 0.7908, 0.7908999999999999, 0.791, 0.7911, 0.7912, 0.7913, 0.7914, 0.7915000000000001, 0.7916000000000001, 0.7917000000000001, 0.7918000000000001, 0.7919, 0.792, 0.7921, 0.7922, 0.7923, 0.7924, 0.7925, 0.7926, 0.7927, 0.7928, 0.7928999999999999, 0.793, 0.7931, 0.7932, 0.7933, 0.7934, 0.7935000000000001, 0.7936000000000001, 0.7937000000000001, 0.7938000000000001, 0.7939, 0.794, 0.7941, 0.7942, 0.7943, 0.7944, 0.7945, 0.7946, 0.7947, 0.7948, 0.7948999999999999, 0.795, 0.7951, 0.7952, 0.7953, 0.7954, 0.7955000000000001, 0.7956000000000001, 0.7957000000000001, 0.7958000000000001, 0.7959, 0.796, 0.7961, 0.7962, 0.7963, 0.7964, 0.7965, 0.7966, 0.7967, 0.7968, 0.7968999999999999, 0.797, 0.7971, 0.7972, 0.7973, 0.7974, 0.7975, 0.7976000000000001, 0.7977000000000001, 0.7978000000000001, 0.7979, 0.798, 0.7981, 0.7982, 0.7983, 0.7984, 0.7985, 0.7986, 0.7987, 0.7988, 0.7988999999999999, 0.7989999999999999, 0.7991, 0.7992, 0.7993, 0.7994, 0.7995, 0.7996000000000001, 0.7997000000000001, 0.7998000000000001, 0.7999, 0.8, 0.8001, 0.8002, 0.8003, 0.8004, 0.8005, 0.8006, 0.8007, 0.8008, 0.8009, 0.8009999999999999, 0.8011, 0.8012, 0.8013, 0.8014, 0.8015, 0.8016000000000001, 0.8017000000000001, 0.8018000000000001, 0.8019000000000001, 0.802, 0.8021, 0.8022, 0.8023, 0.8024, 0.8025, 0.8026, 0.8027, 0.8028, 0.8029, 0.8029999999999999, 0.8031, 0.8032, 0.8033, 0.8034, 0.8035, 0.8036000000000001, 0.8037000000000001, 0.8038000000000001, 0.8039000000000001, 0.804, 0.8041, 0.8042, 0.8043, 0.8044, 0.8045, 0.8046, 0.8047, 0.8048, 0.8049, 0.8049999999999999, 0.8051, 0.8052, 0.8053, 0.8054, 0.8055, 0.8056000000000001, 0.8057000000000001, 0.8058000000000001, 0.8059000000000001, 0.806, 0.8061, 0.8062, 0.8063, 0.8064, 0.8065, 0.8066, 0.8067, 0.8068, 0.8069, 0.8069999999999999, 0.8071, 0.8072, 0.8073, 0.8074, 0.8075, 0.8076000000000001, 0.8077000000000001, 0.8078000000000001, 0.8079000000000001, 0.808, 0.8081, 0.8082, 0.8083, 0.8084, 0.8085, 0.8086, 0.8087, 0.8088, 0.8089, 0.8089999999999999, 0.8091, 0.8092, 0.8093, 0.8094, 0.8095, 0.8096000000000001, 0.8097000000000001, 0.8098000000000001, 0.8099000000000001, 0.81, 0.8101, 0.8102, 0.8103, 0.8104, 0.8105, 0.8106, 0.8107, 0.8108, 0.8109, 0.8109999999999999, 0.8110999999999999, 0.8112, 0.8113, 0.8114, 0.8115, 0.8116, 0.8117000000000001, 0.8118000000000001, 0.8119000000000001, 0.812, 0.8121, 0.8122, 0.8123, 0.8124, 0.8125, 0.8126, 0.8127, 0.8128, 0.8129, 0.813, 0.8130999999999999, 0.8132, 0.8133, 0.8134, 0.8135, 0.8136, 0.8137000000000001, 0.8138000000000001, 0.8139000000000001, 0.8140000000000001, 0.8141, 0.8142, 0.8143, 0.8144, 0.8145, 0.8146, 0.8147, 0.8148, 0.8149, 0.815, 0.8150999999999999, 0.8152, 0.8153, 0.8154, 0.8155, 0.8156, 0.8157000000000001, 0.8158000000000001, 0.8159000000000001, 0.8160000000000001, 0.8161, 0.8162, 0.8163, 0.8164, 0.8165, 0.8166, 0.8167, 0.8168, 0.8169, 0.817, 0.8170999999999999, 0.8172, 0.8173, 0.8174, 0.8175, 0.8176, 0.8177000000000001, 0.8178000000000001, 0.8179000000000001, 0.8180000000000001, 0.8181, 0.8182, 0.8183, 0.8184, 0.8185, 0.8186, 0.8187, 0.8188, 0.8189, 0.819, 0.8190999999999999, 0.8192, 0.8193, 0.8194, 0.8195, 0.8196, 0.8197000000000001, 0.8198000000000001, 0.8199000000000001, 0.8200000000000001, 0.8201, 0.8202, 0.8203, 0.8204, 0.8205, 0.8206, 0.8207, 0.8208, 0.8209, 0.821, 0.8210999999999999, 0.8212, 0.8213, 0.8214, 0.8215, 0.8216, 0.8217000000000001, 0.8218000000000001, 0.8219000000000001, 0.8220000000000001, 0.8221, 0.8222, 0.8223, 0.8224, 0.8225, 0.8226, 0.8227, 0.8228, 0.8229, 0.823, 0.8230999999999999, 0.8232, 0.8233, 0.8234, 0.8235, 0.8236, 0.8237000000000001, 0.8238000000000001, 0.8239000000000001, 0.8240000000000001, 0.8241, 0.8242, 0.8243, 0.8244, 0.8245, 0.8246, 0.8247, 0.8248, 0.8249, 0.825, 0.8251, 0.8251999999999999, 0.8253, 0.8254, 0.8255, 0.8256, 0.8257, 0.8258000000000001, 0.8259000000000001, 0.8260000000000001, 0.8261000000000001, 0.8262, 0.8263, 0.8264, 0.8265, 0.8266, 0.8267, 0.8268, 0.8269, 0.827, 0.8271, 0.8271999999999999, 0.8273, 0.8274, 0.8275, 0.8276, 0.8277, 0.8278000000000001, 0.8279000000000001, 0.8280000000000001, 0.8281000000000001, 0.8282, 0.8283, 0.8284, 0.8285, 0.8286, 0.8287, 0.8288, 0.8289, 0.829, 0.8291, 0.8291999999999999, 0.8293, 0.8294, 0.8295, 0.8296, 0.8297, 0.8298000000000001, 0.8299000000000001, 0.8300000000000001, 0.8301000000000001, 0.8302, 0.8303, 0.8304, 0.8305, 0.8306, 0.8307, 0.8308, 0.8309, 0.831, 0.8311, 0.8311999999999999, 0.8313, 0.8314, 0.8315, 0.8316, 0.8317, 0.8318000000000001, 0.8319000000000001, 0.8320000000000001, 0.8321000000000001, 0.8322, 0.8323, 0.8324, 0.8325, 0.8326, 0.8327, 0.8328, 0.8329, 0.833, 0.8331, 0.8331999999999999, 0.8333, 0.8334, 0.8335, 0.8336, 0.8337, 0.8338000000000001, 0.8339000000000001, 0.8340000000000001, 0.8341000000000001, 0.8342, 0.8343, 0.8344, 0.8345, 0.8346, 0.8347, 0.8348, 0.8349, 0.835, 0.8351, 0.8351999999999999, 0.8353, 0.8354, 0.8355, 0.8356, 0.8357, 0.8358000000000001, 0.8359000000000001, 0.8360000000000001, 0.8361000000000001, 0.8362, 0.8363, 0.8364, 0.8365, 0.8366, 0.8367, 0.8368, 0.8369, 0.837, 0.8371, 0.8371999999999999, 0.8372999999999999, 0.8374, 0.8375, 0.8376, 0.8377, 0.8378, 0.8379000000000001, 0.8380000000000001, 0.8381000000000001, 0.8382000000000001, 0.8383, 0.8384, 0.8385, 0.8386, 0.8387, 0.8388, 0.8389, 0.839, 0.8391, 0.8392, 0.8392999999999999, 0.8394, 0.8395, 0.8396, 0.8397, 0.8398, 0.8399000000000001, 0.8400000000000001, 0.8401000000000001, 0.8402000000000001, 0.8403, 0.8404, 0.8405, 0.8406, 0.8407, 0.8408, 0.8409, 0.841, 0.8411, 0.8412, 0.8412999999999999, 0.8414, 0.8415, 0.8416, 0.8417, 0.8418, 0.8419000000000001, 0.8420000000000001, 0.8421000000000001, 0.8422000000000001, 0.8423, 0.8424, 0.8425, 0.8426, 0.8427, 0.8428, 0.8429, 0.843, 0.8431, 0.8432, 0.8432999999999999, 0.8434, 0.8435, 0.8436, 0.8437, 0.8438, 0.8439000000000001, 0.8440000000000001, 0.8441000000000001, 0.8442000000000001, 0.8443, 0.8444, 0.8445, 0.8446, 0.8447, 0.8448, 0.8449, 0.845, 0.8451, 0.8452, 0.8452999999999999, 0.8454, 0.8455, 0.8456, 0.8457, 0.8458, 0.8459000000000001, 0.8460000000000001, 0.8461000000000001, 0.8462000000000001, 0.8463, 0.8464, 0.8465, 0.8466, 0.8467, 0.8468, 0.8469, 0.847, 0.8471, 0.8472, 0.8472999999999999, 0.8474, 0.8475, 0.8476, 0.8477, 0.8478, 0.8479000000000001, 0.8480000000000001, 0.8481000000000001, 0.8482000000000001, 0.8483, 0.8484, 0.8485, 0.8486, 0.8487, 0.8488, 0.8489, 0.849, 0.8491, 0.8492, 0.8492999999999999, 0.8494, 0.8495, 0.8496, 0.8497, 0.8498, 0.8499000000000001, 0.8500000000000001, 0.8501000000000001, 0.8502000000000001, 0.8503000000000001, 0.8504, 0.8505, 0.8506, 0.8507, 0.8508, 0.8509, 0.851, 0.8511, 0.8512, 0.8513, 0.8513999999999999, 0.8515, 0.8516, 0.8517, 0.8518, 0.8519, 0.8520000000000001, 0.8521000000000001, 0.8522000000000001, 0.8523000000000001, 0.8524, 0.8525, 0.8526, 0.8527, 0.8528, 0.8529, 0.853, 0.8531, 0.8532, 0.8533, 0.8533999999999999, 0.8535, 0.8536, 0.8537, 0.8538, 0.8539, 0.8540000000000001, 0.8541000000000001, 0.8542000000000001, 0.8543000000000001, 0.8544, 0.8545, 0.8546, 0.8547, 0.8548, 0.8549, 0.855, 0.8551, 0.8552, 0.8553, 0.8553999999999999, 0.8555, 0.8556, 0.8557, 0.8558, 0.8559, 0.8560000000000001, 0.8561000000000001, 0.8562000000000001, 0.8563000000000001, 0.8564, 0.8565, 0.8566, 0.8567, 0.8568, 0.8569, 0.857, 0.8571, 0.8572, 0.8573, 0.8573999999999999, 0.8575, 0.8576, 0.8577, 0.8578, 0.8579, 0.8580000000000001, 0.8581000000000001, 0.8582000000000001, 0.8583000000000001, 0.8584, 0.8585, 0.8586, 0.8587, 0.8588, 0.8589, 0.859, 0.8591, 0.8592, 0.8593, 0.8593999999999999, 0.8595, 0.8596, 0.8597, 0.8598, 0.8599, 0.8600000000000001, 0.8601000000000001, 0.8602000000000001, 0.8603000000000001, 0.8604, 0.8605, 0.8606, 0.8607, 0.8608, 0.8609, 0.861, 0.8611, 0.8612, 0.8613, 0.8613999999999999, 0.8615, 0.8616, 0.8617, 0.8618, 0.8619, 0.8620000000000001, 0.8621000000000001, 0.8622000000000001, 0.8623000000000001, 0.8624, 0.8625, 0.8626, 0.8627, 0.8628, 0.8629, 0.863, 0.8631, 0.8632, 0.8633, 0.8634, 0.8634999999999999, 0.8636, 0.8637, 0.8638, 0.8639, 0.864, 0.8641000000000001, 0.8642000000000001, 0.8643000000000001, 0.8644000000000001, 0.8645, 0.8646, 0.8647, 0.8648, 0.8649, 0.865, 0.8651, 0.8652, 0.8653, 0.8654, 0.8654999999999999, 0.8656, 0.8657, 0.8658, 0.8659, 0.866, 0.8661000000000001, 0.8662000000000001, 0.8663000000000001, 0.8664000000000001, 0.8665, 0.8666, 0.8667, 0.8668, 0.8669, 0.867, 0.8671, 0.8672, 0.8673, 0.8674, 0.8674999999999999, 0.8676, 0.8677, 0.8678, 0.8679, 0.868, 0.8681000000000001, 0.8682000000000001, 0.8683000000000001, 0.8684000000000001, 0.8685, 0.8686, 0.8687, 0.8688, 0.8689, 0.869, 0.8691, 0.8692, 0.8693, 0.8694, 0.8694999999999999, 0.8696, 0.8697, 0.8698, 0.8699, 0.87, 0.8701000000000001, 0.8702000000000001, 0.8703000000000001, 0.8704000000000001, 0.8705, 0.8706, 0.8707, 0.8708, 0.8709, 0.871, 0.8711, 0.8712, 0.8713, 0.8714, 0.8714999999999999, 0.8716, 0.8717, 0.8718, 0.8719, 0.872, 0.8721000000000001, 0.8722000000000001, 0.8723000000000001, 0.8724000000000001, 0.8725, 0.8726, 0.8727, 0.8728, 0.8729, 0.873, 0.8731, 0.8732, 0.8733, 0.8734, 0.8734999999999999, 0.8736, 0.8737, 0.8738, 0.8739, 0.874, 0.8741000000000001, 0.8742000000000001, 0.8743000000000001, 0.8744000000000001, 0.8745, 0.8746, 0.8747, 0.8748, 0.8749, 0.875, 0.8751, 0.8752, 0.8753, 0.8754, 0.8755, 0.8756, 0.8757, 0.8758, 0.8759, 0.876, 0.8761000000000001, 0.8762000000000001, 0.8763000000000001, 0.8764000000000001, 0.8765000000000001, 0.8766, 0.8767, 0.8768, 0.8769, 0.877, 0.8771, 0.8772, 0.8773, 0.8774, 0.8775, 0.8775999999999999, 0.8777, 0.8778, 0.8779, 0.878, 0.8781, 0.8782000000000001, 0.8783000000000001, 0.8784000000000001, 0.8785000000000001, 0.8786, 0.8787, 0.8788, 0.8789, 0.879, 0.8791, 0.8792, 0.8793, 0.8794, 0.8795, 0.8795999999999999, 0.8797, 0.8798, 0.8799, 0.88, 0.8801, 0.8802000000000001, 0.8803000000000001, 0.8804000000000001, 0.8805000000000001, 0.8806, 0.8807, 0.8808, 0.8809, 0.881, 0.8811, 0.8812, 0.8813, 0.8814, 0.8815, 0.8815999999999999, 0.8817, 0.8818, 0.8819, 0.882, 0.8821, 0.8822000000000001, 0.8823000000000001, 0.8824000000000001, 0.8825000000000001, 0.8826, 0.8827, 0.8828, 0.8829, 0.883, 0.8831, 0.8832, 0.8833, 0.8834, 0.8835, 0.8835999999999999, 0.8837, 0.8838, 0.8839, 0.884, 0.8841, 0.8842000000000001, 0.8843000000000001, 0.8844000000000001, 0.8845000000000001, 0.8846, 0.8847, 0.8848, 0.8849, 0.885, 0.8851, 0.8852, 0.8853, 0.8854, 0.8855, 0.8855999999999999, 0.8857, 0.8858, 0.8859, 0.886, 0.8861, 0.8862000000000001, 0.8863000000000001, 0.8864000000000001, 0.8865000000000001, 0.8866, 0.8867, 0.8868, 0.8869, 0.887, 0.8871, 0.8872, 0.8873, 0.8874, 0.8875, 0.8876, 0.8877, 0.8878, 0.8879, 0.888, 0.8881, 0.8882000000000001, 0.8883000000000001, 0.8884000000000001, 0.8885000000000001, 0.8886000000000001, 0.8887, 0.8888, 0.8889, 0.889, 0.8891, 0.8892, 0.8893, 0.8894, 0.8895, 0.8896, 0.8897, 0.8898, 0.8899, 0.89, 0.8901, 0.8902, 0.8903000000000001, 0.8904000000000001, 0.8905000000000001, 0.8906000000000001, 0.8907, 0.8908, 0.8909, 0.891, 0.8911, 0.8912, 0.8913, 0.8914, 0.8915, 0.8916, 0.8916999999999999, 0.8918, 0.8919, 0.892, 0.8921, 0.8922, 0.8923000000000001, 0.8924000000000001, 0.8925000000000001, 0.8926000000000001, 0.8927, 0.8928, 0.8929, 0.893, 0.8931, 0.8932, 0.8933, 0.8934, 0.8935, 0.8936, 0.8936999999999999, 0.8938, 0.8939, 0.894, 0.8941, 0.8942, 0.8943000000000001, 0.8944000000000001, 0.8945000000000001, 0.8946000000000001, 0.8947, 0.8948, 0.8949, 0.895, 0.8951, 0.8952, 0.8953, 0.8954, 0.8955, 0.8956, 0.8956999999999999, 0.8958, 0.8959, 0.896, 0.8961, 0.8962, 0.8963000000000001, 0.8964000000000001, 0.8965000000000001, 0.8966000000000001, 0.8967, 0.8968, 0.8969, 0.897, 0.8971, 0.8972, 0.8973, 0.8974, 0.8975, 0.8976, 0.8976999999999999, 0.8978, 0.8979, 0.898, 0.8981, 0.8982, 0.8983000000000001, 0.8984000000000001, 0.8985000000000001, 0.8986000000000001, 0.8987, 0.8988, 0.8989, 0.899, 0.8991, 0.8992, 0.8993, 0.8994, 0.8995, 0.8996, 0.8996999999999999, 0.8998, 0.8999, 0.9, 0.9001, 0.9002, 0.9003000000000001, 0.9004000000000001, 0.9005000000000001, 0.9006000000000001, 0.9007000000000001, 0.9008, 0.9009, 0.901, 0.9011, 0.9012, 0.9013, 0.9014, 0.9015, 0.9016, 0.9017, 0.9018, 0.9019, 0.902, 0.9021, 0.9022, 0.9023000000000001, 0.9024000000000001, 0.9025000000000001, 0.9026000000000001, 0.9027000000000001, 0.9028, 0.9029, 0.903, 0.9031, 0.9032, 0.9033, 0.9034, 0.9035, 0.9036, 0.9037, 0.9037999999999999, 0.9039, 0.904, 0.9041, 0.9042, 0.9043, 0.9044000000000001, 0.9045000000000001, 0.9046000000000001, 0.9047000000000001, 0.9048, 0.9049, 0.905, 0.9051, 0.9052, 0.9053, 0.9054, 0.9055, 0.9056, 0.9057, 0.9057999999999999, 0.9059, 0.906, 0.9061, 0.9062, 0.9063, 0.9064000000000001, 0.9065000000000001, 0.9066000000000001, 0.9067000000000001, 0.9068, 0.9069, 0.907, 0.9071, 0.9072, 0.9073, 0.9074, 0.9075, 0.9076, 0.9077, 0.9077999999999999, 0.9079, 0.908, 0.9081, 0.9082, 0.9083, 0.9084000000000001, 0.9085000000000001, 0.9086000000000001, 0.9087000000000001, 0.9088, 0.9089, 0.909, 0.9091, 0.9092, 0.9093, 0.9094, 0.9095, 0.9096, 0.9097, 0.9097999999999999, 0.9099, 0.91, 0.9101, 0.9102, 0.9103, 0.9104000000000001, 0.9105000000000001, 0.9106000000000001, 0.9107000000000001, 0.9108, 0.9109, 0.911, 0.9111, 0.9112, 0.9113, 0.9114, 0.9115, 0.9116, 0.9117, 0.9117999999999999, 0.9119, 0.912, 0.9121, 0.9122, 0.9123, 0.9124000000000001, 0.9125000000000001, 0.9126000000000001, 0.9127000000000001, 0.9128000000000001, 0.9129, 0.913, 0.9131, 0.9132, 0.9133, 0.9134, 0.9135, 0.9136, 0.9137, 0.9138, 0.9139, 0.914, 0.9141, 0.9142, 0.9143, 0.9144000000000001, 0.9145000000000001, 0.9146000000000001, 0.9147000000000001, 0.9148000000000001, 0.9149, 0.915, 0.9151, 0.9152, 0.9153, 0.9154, 0.9155, 0.9156, 0.9157, 0.9158, 0.9159, 0.916, 0.9161, 0.9162, 0.9163, 0.9164, 0.9165000000000001, 0.9166000000000001, 0.9167000000000001, 0.9168000000000001, 0.9169, 0.917, 0.9171, 0.9172, 0.9173, 0.9174, 0.9175, 0.9176, 0.9177, 0.9178, 0.9178999999999999, 0.918, 0.9181, 0.9182, 0.9183, 0.9184, 0.9185000000000001, 0.9186000000000001, 0.9187000000000001, 0.9188000000000001, 0.9189, 0.919, 0.9191, 0.9192, 0.9193, 0.9194, 0.9195, 0.9196, 0.9197, 0.9198, 0.9198999999999999, 0.92, 0.9201, 0.9202, 0.9203, 0.9204, 0.9205000000000001, 0.9206000000000001, 0.9207000000000001, 0.9208000000000001, 0.9209, 0.921, 0.9211, 0.9212, 0.9213, 0.9214, 0.9215, 0.9216, 0.9217, 0.9218, 0.9218999999999999, 0.922, 0.9221, 0.9222, 0.9223, 0.9224, 0.9225000000000001, 0.9226000000000001, 0.9227000000000001, 0.9228000000000001, 0.9229, 0.923, 0.9231, 0.9232, 0.9233, 0.9234, 0.9235, 0.9236, 0.9237, 0.9238, 0.9238999999999999, 0.924, 0.9241, 0.9242, 0.9243, 0.9244, 0.9245000000000001, 0.9246000000000001, 0.9247000000000001, 0.9248000000000001, 0.9249, 0.925, 0.9251, 0.9252, 0.9253, 0.9254, 0.9255, 0.9256, 0.9257, 0.9258, 0.9259, 0.926, 0.9261, 0.9262, 0.9263, 0.9264, 0.9265000000000001, 0.9266000000000001, 0.9267000000000001, 0.9268000000000001, 0.9269000000000001, 0.927, 0.9271, 0.9272, 0.9273, 0.9274, 0.9275, 0.9276, 0.9277, 0.9278, 0.9279, 0.928, 0.9281, 0.9282, 0.9283, 0.9284, 0.9285000000000001, 0.9286000000000001, 0.9287000000000001, 0.9288000000000001, 0.9289000000000001, 0.929, 0.9291, 0.9292, 0.9293, 0.9294, 0.9295, 0.9296, 0.9297, 0.9298, 0.9299, 0.9299999999999999, 0.9301, 0.9302, 0.9303, 0.9304, 0.9305, 0.9306000000000001, 0.9307000000000001, 0.9308000000000001, 0.9309000000000001, 0.931, 0.9311, 0.9312, 0.9313, 0.9314, 0.9315, 0.9316, 0.9317, 0.9318, 0.9319, 0.9319999999999999, 0.9321, 0.9322, 0.9323, 0.9324, 0.9325, 0.9326000000000001, 0.9327000000000001, 0.9328000000000001, 0.9329000000000001, 0.933, 0.9331, 0.9332, 0.9333, 0.9334, 0.9335, 0.9336, 0.9337, 0.9338, 0.9339, 0.9339999999999999, 0.9341, 0.9342, 0.9343, 0.9344, 0.9345, 0.9346000000000001, 0.9347000000000001, 0.9348000000000001, 0.9349000000000001, 0.935, 0.9351, 0.9352, 0.9353, 0.9354, 0.9355, 0.9356, 0.9357, 0.9358, 0.9359, 0.9359999999999999, 0.9361, 0.9362, 0.9363, 0.9364, 0.9365, 0.9366000000000001, 0.9367000000000001, 0.9368000000000001, 0.9369000000000001, 0.937, 0.9371, 0.9372, 0.9373, 0.9374, 0.9375, 0.9376, 0.9377, 0.9378, 0.9379, 0.938, 0.9381, 0.9382, 0.9383, 0.9384, 0.9385, 0.9386000000000001, 0.9387000000000001, 0.9388000000000001, 0.9389000000000001, 0.9390000000000001, 0.9391, 0.9392, 0.9393, 0.9394, 0.9395, 0.9396, 0.9397, 0.9398, 0.9399, 0.94, 0.9401, 0.9402, 0.9403, 0.9404, 0.9405, 0.9406000000000001, 0.9407000000000001, 0.9408000000000001, 0.9409000000000001, 0.9410000000000001, 0.9411, 0.9412, 0.9413, 0.9414, 0.9415, 0.9416, 0.9417, 0.9418, 0.9419, 0.942, 0.9421, 0.9422, 0.9423, 0.9424, 0.9425, 0.9426000000000001, 0.9427000000000001, 0.9428000000000001, 0.9429000000000001, 0.9430000000000001, 0.9431, 0.9432, 0.9433, 0.9434, 0.9435, 0.9436, 0.9437, 0.9438, 0.9439, 0.944, 0.9440999999999999, 0.9442, 0.9443, 0.9444, 0.9445, 0.9446, 0.9447000000000001, 0.9448000000000001, 0.9449000000000001, 0.9450000000000001, 0.9451, 0.9452, 0.9453, 0.9454, 0.9455, 0.9456, 0.9457, 0.9458, 0.9459, 0.946, 0.9460999999999999, 0.9462, 0.9463, 0.9464, 0.9465, 0.9466, 0.9467000000000001, 0.9468000000000001, 0.9469000000000001, 0.9470000000000001, 0.9471, 0.9472, 0.9473, 0.9474, 0.9475, 0.9476, 0.9477, 0.9478, 0.9479, 0.948, 0.9480999999999999, 0.9482, 0.9483, 0.9484, 0.9485, 0.9486, 0.9487000000000001, 0.9488000000000001, 0.9489000000000001, 0.9490000000000001, 0.9491, 0.9492, 0.9493, 0.9494, 0.9495, 0.9496, 0.9497, 0.9498, 0.9499, 0.95, 0.9501, 0.9502, 0.9503, 0.9504, 0.9505, 0.9506, 0.9507000000000001, 0.9508000000000001, 0.9509000000000001, 0.9510000000000001, 0.9511000000000001, 0.9512, 0.9513, 0.9514, 0.9515, 0.9516, 0.9517, 0.9518, 0.9519, 0.952, 0.9521, 0.9522, 0.9523, 0.9524, 0.9525, 0.9526, 0.9527000000000001, 0.9528000000000001, 0.9529000000000001, 0.9530000000000001, 0.9531000000000001, 0.9532, 0.9533, 0.9534, 0.9535, 0.9536, 0.9537, 0.9538, 0.9539, 0.954, 0.9541, 0.9542, 0.9543, 0.9544, 0.9545, 0.9546, 0.9547000000000001, 0.9548000000000001, 0.9549000000000001, 0.9550000000000001, 0.9551000000000001, 0.9552, 0.9553, 0.9554, 0.9555, 0.9556, 0.9557, 0.9558, 0.9559, 0.956, 0.9561, 0.9561999999999999, 0.9563, 0.9564, 0.9565, 0.9566, 0.9567, 0.9568000000000001, 0.9569000000000001, 0.9570000000000001, 0.9571000000000001, 0.9572, 0.9573, 0.9574, 0.9575, 0.9576, 0.9577, 0.9578, 0.9579, 0.958, 0.9581, 0.9581999999999999, 0.9583, 0.9584, 0.9585, 0.9586, 0.9587, 0.9588000000000001, 0.9589000000000001, 0.9590000000000001, 0.9591000000000001, 0.9592, 0.9593, 0.9594, 0.9595, 0.9596, 0.9597, 0.9598, 0.9599, 0.96, 0.9601, 0.9601999999999999, 0.9603, 0.9604, 0.9605, 0.9606, 0.9607, 0.9608000000000001, 0.9609000000000001, 0.9610000000000001, 0.9611000000000001, 0.9612, 0.9613, 0.9614, 0.9615, 0.9616, 0.9617, 0.9618, 0.9619, 0.962, 0.9621, 0.9621999999999999, 0.9623, 0.9624, 0.9625, 0.9626, 0.9627, 0.9628000000000001, 0.9629000000000001, 0.9630000000000001, 0.9631000000000001, 0.9632000000000001, 0.9633, 0.9634, 0.9635, 0.9636, 0.9637, 0.9638, 0.9639, 0.964, 0.9641, 0.9642, 0.9643, 0.9644, 0.9645, 0.9646, 0.9647, 0.9648000000000001, 0.9649000000000001, 0.9650000000000001, 0.9651000000000001, 0.9652000000000001, 0.9653, 0.9654, 0.9655, 0.9656, 0.9657, 0.9658, 0.9659, 0.966, 0.9661, 0.9662, 0.9663, 0.9664, 0.9665, 0.9666, 0.9667, 0.9668000000000001, 0.9669000000000001, 0.9670000000000001, 0.9671000000000001, 0.9672000000000001, 0.9673, 0.9674, 0.9675, 0.9676, 0.9677, 0.9678, 0.9679, 0.968, 0.9681, 0.9682, 0.9683, 0.9684, 0.9685, 0.9686, 0.9687, 0.9688000000000001, 0.9689000000000001, 0.9690000000000001, 0.9691000000000001, 0.9692000000000001, 0.9693, 0.9694, 0.9695, 0.9696, 0.9697, 0.9698, 0.9699, 0.97, 0.9701, 0.9702, 0.9702999999999999, 0.9704, 0.9705, 0.9706, 0.9707, 0.9708, 0.9709000000000001, 0.9710000000000001, 0.9711000000000001, 0.9712000000000001, 0.9713, 0.9714, 0.9715, 0.9716, 0.9717, 0.9718, 0.9719, 0.972, 0.9721, 0.9722, 0.9722999999999999, 0.9724, 0.9725, 0.9726, 0.9727, 0.9728, 0.9729000000000001, 0.9730000000000001, 0.9731000000000001, 0.9732000000000001, 0.9733, 0.9734, 0.9735, 0.9736, 0.9737, 0.9738, 0.9739, 0.974, 0.9741, 0.9742, 0.9742999999999999, 0.9744, 0.9745, 0.9746, 0.9747, 0.9748, 0.9749000000000001, 0.9750000000000001, 0.9751000000000001, 0.9752000000000001, 0.9753000000000001, 0.9754, 0.9755, 0.9756, 0.9757, 0.9758, 0.9759, 0.976, 0.9761, 0.9762, 0.9763, 0.9764, 0.9765, 0.9766, 0.9767, 0.9768, 0.9769000000000001, 0.9770000000000001, 0.9771000000000001, 0.9772000000000001, 0.9773000000000001, 0.9774, 0.9775, 0.9776, 0.9777, 0.9778, 0.9779, 0.978, 0.9781, 0.9782, 0.9783, 0.9784, 0.9785, 0.9786, 0.9787, 0.9788, 0.9789000000000001, 0.9790000000000001, 0.9791000000000001, 0.9792000000000001, 0.9793000000000001, 0.9794, 0.9795, 0.9796, 0.9797, 0.9798, 0.9799, 0.98, 0.9801, 0.9802, 0.9803, 0.9804, 0.9805, 0.9806, 0.9807, 0.9808, 0.9809000000000001, 0.9810000000000001, 0.9811000000000001, 0.9812000000000001, 0.9813000000000001, 0.9814, 0.9815, 0.9816, 0.9817, 0.9818, 0.9819, 0.982, 0.9821, 0.9822, 0.9823, 0.9823999999999999, 0.9825, 0.9826, 0.9827, 0.9828, 0.9829, 0.9830000000000001, 0.9831000000000001, 0.9832000000000001, 0.9833000000000001, 0.9834, 0.9835, 0.9836, 0.9837, 0.9838, 0.9839, 0.984, 0.9841, 0.9842, 0.9843, 0.9843999999999999, 0.9845, 0.9846, 0.9847, 0.9848, 0.9849, 0.9850000000000001, 0.9851000000000001, 0.9852000000000001, 0.9853000000000001, 0.9854, 0.9855, 0.9856, 0.9857, 0.9858, 0.9859, 0.986, 0.9861, 0.9862, 0.9863, 0.9863999999999999, 0.9865, 0.9866, 0.9867, 0.9868, 0.9869, 0.9870000000000001, 0.9871000000000001, 0.9872000000000001, 0.9873000000000001, 0.9874, 0.9875, 0.9876, 0.9877, 0.9878, 0.9879, 0.988, 0.9881, 0.9882, 0.9883, 0.9884, 0.9885, 0.9886, 0.9887, 0.9888, 0.9889, 0.9890000000000001, 0.9891000000000001, 0.9892000000000001, 0.9893000000000001, 0.9894000000000001, 0.9895, 0.9896, 0.9897, 0.9898, 0.9899, 0.99, 0.9901, 0.9902, 0.9903, 0.9904, 0.9905, 0.9906, 0.9907, 0.9908, 0.9909, 0.9910000000000001, 0.9911000000000001, 0.9912000000000001, 0.9913000000000001, 0.9914000000000001, 0.9915, 0.9916, 0.9917, 0.9918, 0.9919, 0.992, 0.9921, 0.9922, 0.9923, 0.9924, 0.9925, 0.9926, 0.9927, 0.9928, 0.9929, 0.9930000000000001, 0.9931000000000001, 0.9932000000000001, 0.9933000000000001, 0.9934000000000001, 0.9935, 0.9936, 0.9937, 0.9938, 0.9939, 0.994, 0.9941, 0.9942, 0.9943, 0.9944, 0.9945, 0.9946, 0.9947, 0.9948, 0.9949, 0.9950000000000001, 0.9951000000000001, 0.9952000000000001, 0.9953000000000001, 0.9954000000000001, 0.9955, 0.9956, 0.9957, 0.9958, 0.9959, 0.996, 0.9961, 0.9962, 0.9963, 0.9964, 0.9964999999999999, 0.9966, 0.9967, 0.9968, 0.9969, 0.997, 0.9971000000000001, 0.9972000000000001, 0.9973000000000001, 0.9974000000000001, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9984999999999999, 0.9986, 0.9987, 0.9988, 0.9989, 0.999, 0.9991000000000001, 0.9992000000000001, 0.9993000000000001, 0.9994000000000001, 0.9995, 0.9996, 0.9997, 0.9998, 0.9999, 1.0], \\\"y\\\": [0.908462814245873, 0.9084705747720873, 0.9084783352983015, 0.9084860958245156, 0.9084938563507297, 0.908501616876944, 0.9085096824918022, 0.9085204746708968, 0.9085312668499912, 0.9085420590290857, 0.9085528512081802, 0.9085636433872746, 0.9085744355663692, 0.9085852277454636, 0.9085876796015567, 0.908585988240173, 0.9085842968787892, 0.9085826055174053, 0.9085809141560217, 0.9085784243295598, 0.9085724783159306, 0.9085665323023012, 0.9085605862886721, 0.9085546402750428, 0.9085486942614136, 0.9085421092150026, 0.9085409456398528, 0.9085429702810003, 0.908544994922148, 0.9085470195632956, 0.9085490442044433, 0.9085510688455909, 0.9085540335733322, 0.9085579304216223, 0.9085614217130003, 0.9085649130043782, 0.9085684042957561, 0.9085718955871341, 0.908575386878512, 0.90857887816989, 0.9085867625192185, 0.9085954353843231, 0.9086041082494277, 0.9086127811145324, 0.908621453979637, 0.9086274988872547, 0.9086330931113813, 0.9086386873355077, 0.9086442815596342, 0.9086498757837607, 0.9086554700078872, 0.9086610642320136, 0.9086666584561401, 0.908673245991527, 0.9086811297682071, 0.9086890135448873, 0.9086968973215674, 0.9087047810982474, 0.9087146055092942, 0.9087247726646307, 0.9087349398199671, 0.9087450158173132, 0.9087556427351761, 0.9087662749345328, 0.9087769071338896, 0.9087875393332462, 0.9087981715326028, 0.9088088037319595, 0.9088194359313162, 0.9088285472036857, 0.9088366354037746, 0.9088447236038635, 0.9088524965036091, 0.9088413454765212, 0.9088301915496415, 0.9088190376227617, 0.908807883695882, 0.9087967297690023, 0.9087855758421225, 0.9087744219152428, 0.908763267988363, 0.9087521140614834, 0.9087409601346036, 0.9087298062077238, 0.9087231223835202, 0.9087192109591562, 0.9087164030202588, 0.9087302535147845, 0.9087441040093104, 0.9087579545038362, 0.908771804998362, 0.9087857062529117, 0.9087996101645512, 0.90881355752915, 0.9088275170146762, 0.9088414765002026, 0.9088554359857288, 0.9088693954712552, 0.9088833549567815, 0.9088973144423078, 0.9088851775056097, 0.9088505758098187, 0.9088142159130028, 0.9087570515150126, 0.9086998871170224, 0.9086427227190321, 0.9085855583210418, 0.9085283939230516, 0.9084712295250613, 0.908408682823667, 0.9083733816211185, 0.9083380804185698, 0.9083027792160212, 0.9082674780134725, 0.9082321768109239, 0.9082268004455288, 0.9082377424125625, 0.9082481013397548, 0.9082567877468217, 0.9082654741538887, 0.9082741605609557, 0.9082828469680228, 0.9082915333750897, 0.9083002197821568, 0.9083089061892237, 0.9083175925962906, 0.9083283074997275, 0.9083390408567678, 0.9083497742138079, 0.9083605075708481, 0.9083712409278881, 0.9083823386783516, 0.9083948143818705, 0.9083881641636422, 0.9083615030782646, 0.9083348419928869, 0.9083081809075093, 0.9082815198221318, 0.9082548587367543, 0.9082281976513766, 0.9082247250664927, 0.9081776761649287, 0.9081306272633648, 0.9080857175255344, 0.9080857573052974, 0.9080734519991924, 0.908062216667783, 0.9080509813363736, 0.9080397460049643, 0.908028510673555, 0.9080172753421456, 0.9080060400107361, 0.9080108253818241, 0.9080163059064501, 0.908022031541478, 0.9080290973632328, 0.9080361631849878, 0.9080432290067428, 0.9080502948284979, 0.9080573606502529, 0.9080644264720079, 0.9080714922937628, 0.9080785581155177, 0.9080858223219084, 0.908093929590277, 0.9081074593143688, 0.9081209890384605, 0.9081345187625525, 0.9081480484866442, 0.908161578210736, 0.9081751079348277, 0.9081886376589197, 0.9082021673830114, 0.9082156232934828, 0.9082027964075852, 0.9081857766911878, 0.9081654190520667, 0.9081652157358687, 0.9081683502793023, 0.9081714848227358, 0.9081746193661694, 0.908177753909603, 0.9081808884530365, 0.9081840229964702, 0.9081871575399036, 0.9081883864405699, 0.908188428589778, 0.9081884707389862, 0.9081885128881944, 0.9081904220548161, 0.9081931936512211, 0.9081959652476259, 0.9081987368440307, 0.9082020491059513, 0.9082074171280692, 0.9082127851501868, 0.9082181531723046, 0.9082235211944224, 0.9082288892165402, 0.9082342572386579, 0.9082355855243511, 0.9082347401613927, 0.9082307234441223, 0.9082267067268519, 0.9082226900095814, 0.908218673292311, 0.9082146565750406, 0.9082106398577702, 0.9082066231404997, 0.9082026064232293, 0.908199771656062, 0.9081990890390168, 0.9081984064219717, 0.9081977238049264, 0.9081970411878812, 0.9081963585708361, 0.9081956759537908, 0.908198024993323, 0.908207968008969, 0.908217911024615, 0.9082268340681914, 0.9082319262857541, 0.9082370185033168, 0.9082421107208793, 0.9082472029384419, 0.9082521020993712, 0.9082567334863905, 0.9082613648734097, 0.9082659962604288, 0.908270627647448, 0.9082752590344673, 0.9082783736752194, 0.9082763155257159, 0.9082617629662136, 0.9082489544481509, 0.9082460371729992, 0.9082431198978472, 0.9082402026226954, 0.9082358066825885, 0.9082259467516847, 0.9082160868207807, 0.9082062268898767, 0.9082026714068663, 0.908207940630821, 0.9082132098547759, 0.9082184790787307, 0.9082237483026856, 0.9082290175266403, 0.9082342867505951, 0.90823955597455, 0.908244682319732, 0.9082497199230601, 0.9082547575263882, 0.9082682000456093, 0.9082822691335128, 0.9082963382214164, 0.9083104073093199, 0.9083244763972234, 0.9083385454851268, 0.9083526145730304, 0.9083655899145879, 0.9083782770538998, 0.9083770747933646, 0.9083756997813586, 0.9083743247693523, 0.9083729497573461, 0.9083715747453398, 0.9083701997333338, 0.9083688247213275, 0.9083674497093213, 0.9083522530771313, 0.9083295763307004, 0.9083068995842697, 0.9082880223982134, 0.9082792213832298, 0.9082737776758407, 0.9082865056578436, 0.9082992336398465, 0.9083119616218496, 0.9083246896038524, 0.9083374175858553, 0.9083496663443638, 0.9083616153711134, 0.9083735643978632, 0.9083833830677731, 0.9083926150806068, 0.9084018470934407, 0.9084110791062745, 0.9084203111191083, 0.9084265881452296, 0.9084319262727737, 0.9084372644003178, 0.9084426025278618, 0.908447940655406, 0.90845327878295, 0.9084619454728358, 0.9084714553890111, 0.9084809653051865, 0.9084904752213618, 0.9084999851375373, 0.9085089259443481, 0.9085174849324213, 0.9085260439204946, 0.9085346029085679, 0.908542628653014, 0.9085506040676656, 0.9085585794823171, 0.9085665548969686, 0.9085745303116202, 0.9085825057262715, 0.908590481140923, 0.9085984565555745, 0.908606431970226, 0.9086144073848774, 0.9086223827995289, 0.9086298406434098, 0.9086349990101281, 0.9086401573768463, 0.9086453157435647, 0.908650474110283, 0.9086556324770012, 0.9086596241418508, 0.9086636374949458, 0.9086680014273438, 0.9086723653597419, 0.9086760585726488, 0.9086754005829665, 0.9086747425932844, 0.9086740846036021, 0.9086734266139199, 0.9086727686242376, 0.9086721106345554, 0.9086714526448733, 0.9086707946551911, 0.9086701366655088, 0.9086660852731041, 0.9086618424231035, 0.908657599573103, 0.9086533567231023, 0.9086491138731019, 0.9086448710231012, 0.9086406281731007, 0.9086381822074914, 0.9086361904520295, 0.9086341986965676, 0.9086358900030993, 0.9086477473559285, 0.9086596047087577, 0.9086714620615869, 0.9086818743876037, 0.9086800564791242, 0.9086724318173122, 0.9086648071555001, 0.9086571824936881, 0.9086495578318761, 0.9086419331700639, 0.9086343085082518, 0.9086266838464399, 0.9086154677892406, 0.9086032322173709, 0.9085909966455012, 0.9085885316707918, 0.9085863095452291, 0.9085840874196662, 0.9085818652941036, 0.9085796431685408, 0.908577421042978, 0.9085751068972812, 0.908584606284274, 0.9085941056712669, 0.9086036050582598, 0.9086131044452525, 0.9086226038322454, 0.9086321032192382, 0.9086443764238075, 0.9086527201535688, 0.9086605413770148, 0.9086683626004608, 0.908676183823907, 0.908684005047353, 0.908691826270799, 0.9086996474942453, 0.9087074687176913, 0.9087160606195609, 0.9087253500145251, 0.9087352856317393, 0.9087452212489535, 0.9087551568661678, 0.9087650924833819, 0.9087750256002296, 0.9087838334164848, 0.9087922412632392, 0.9088006491099936, 0.908809056956748, 0.9088174648035023, 0.9088258726502566, 0.908834280497011, 0.9088426883437652, 0.9088494166150287, 0.9088559666465916, 0.9088625166781545, 0.9088690667097175, 0.9088743167149833, 0.9088766617827264, 0.9088790068504693, 0.9088813519182123, 0.9088836969859553, 0.908882892275924, 0.9088569917701388, 0.9088304595260155, 0.9088039272818924, 0.9088038731060886, 0.9088086069405068, 0.9088120327898885, 0.908815241073103, 0.9088184493563174, 0.9088216576395318, 0.9088248659227463, 0.9088280742059607, 0.9088312824891751, 0.9088344907723894, 0.9088376990556039, 0.9088409073388182, 0.9088441156220327, 0.908847323905247, 0.9088505321884615, 0.9088537404716759, 0.9088569487548903, 0.9088601570381046, 0.9088633653213191, 0.9088638326014902, 0.908862522164618, 0.9088612117277461, 0.9088599012908742, 0.9088585908540023, 0.9088565998286982, 0.9088538954525747, 0.9088511910764511, 0.9088484867003275, 0.908845782324204, 0.9088430779480805, 0.9088403735719569, 0.9088376691958333, 0.9088349648197098, 0.9088322604435863, 0.9088295560674629, 0.9088268516913393, 0.9088274865495581, 0.9088281371103524, 0.9088287876711467, 0.9088314998194492, 0.9088352559920783, 0.9088390121647072, 0.908835274390714, 0.9088312303918654, 0.9088271863930169, 0.9088231423941683, 0.9088190983953197, 0.9088150543964713, 0.9088104579687346, 0.9088043531775744, 0.9087982483864141, 0.9087921435952537, 0.9087860388040936, 0.9087799340129332, 0.9087810094159459, 0.9087829946193247, 0.9087849798227035, 0.9087869650260821, 0.9087889502294609, 0.9087909354328397, 0.9087929206362184, 0.9087949058395972, 0.9087912382100328, 0.9087898757993296, 0.9087885133886263, 0.908787150977923, 0.9087857885672197, 0.9087844261565164, 0.9087830637458132, 0.9087817013351098, 0.9087803389244067, 0.9087762607625514, 0.9087692259848481, 0.9087621912071451, 0.9087551564294418, 0.9087481216517388, 0.9087410868740355, 0.9087340520963325, 0.9087270173186293, 0.9087285424235625, 0.9087309845764175, 0.9087204667823181, 0.9087099489882187, 0.9086994311941192, 0.9086889134000198, 0.9086783956059202, 0.9086678778118208, 0.908654039116198, 0.9086391107728435, 0.908615460027866, 0.9085919835782759, 0.908582461130099, 0.9085776027947475, 0.9085822641576835, 0.9085825724477674, 0.9085818279155258, 0.908581083383284, 0.9085803388510424, 0.9085798846791877, 0.9085795451385632, 0.9085788939428603, 0.9085747277830695, 0.9085705616232789, 0.9085663954634882, 0.908562238205348, 0.9085581740243414, 0.9085541098433345, 0.9085500456623277, 0.9085459814813209, 0.9085419173003141, 0.9085378531193073, 0.9085337889383005, 0.9085297247572937, 0.9085256605762869, 0.9085224927374236, 0.9085203873820508, 0.908518282026678, 0.908516176671305, 0.9085180527427064, 0.9085227904589928, 0.908527528175279, 0.9085378801787847, 0.9085487964962791, 0.9085597128137732, 0.9085706291312676, 0.9085815454487618, 0.9085914694092307, 0.9085957016282836, 0.9085999338473365, 0.9086041660663894, 0.9086083982854423, 0.908612630504495, 0.908616862723548, 0.9086143299894945, 0.9086088169375928, 0.9086033038856911, 0.9085977908337894, 0.9085902270121213, 0.9085822732427558, 0.9085743268671153, 0.9085663860634774, 0.9085584452598394, 0.9085505044562014, 0.9085425636525635, 0.9085317999809908, 0.9085209622306881, 0.908513112998412, 0.9085056352355221, 0.9084981574726321, 0.9084906797097422, 0.9084832019468523, 0.9084761478409233, 0.90847594559589, 0.9084757433508567, 0.9084755411058234, 0.90847533886079, 0.9084751366157569, 0.9084749343707235, 0.9084747321256901, 0.9084720974285777, 0.9084687097101578, 0.908465321991738, 0.9084619342733182, 0.9084585465548982, 0.9084556215315776, 0.9084536115161642, 0.9084516015007509, 0.9084495914853377, 0.9084475814699244, 0.9084455714545112, 0.9084476570293174, 0.9084518787462379, 0.9084561004631584, 0.9084603221800789, 0.9084662912422875, 0.9084738246254342, 0.9084813580085811, 0.9084889361373828, 0.9084965698991909, 0.9085042036609989, 0.908511837422807, 0.9085194711846152, 0.9085271049464232, 0.9085368625029877, 0.9085470876526038, 0.90855731280222, 0.908567537951836, 0.9085777631014521, 0.9085879882510681, 0.9085982134006843, 0.908606610486337, 0.9086143964168436, 0.90861378233272, 0.908607976893176, 0.9086021714536319, 0.9085963660140877, 0.9085905605745436, 0.9085833606914048, 0.908572127920399, 0.9085608951493931, 0.9085514763512048, 0.9085473919916471, 0.9085433076320893, 0.9085392232725316, 0.9085288177079387, 0.9085167146722801, 0.9085046116366217, 0.9084925086009632, 0.9084804055653046, 0.908468302529646, 0.9084558688356561, 0.9084433468950857, 0.9084308249545152, 0.9084183030139448, 0.9084141231485517, 0.9084187979492938, 0.9084234727500359, 0.9084281475507779, 0.90843282235152, 0.9084374971522622, 0.9084386906987696, 0.9084392389564255, 0.9084398853382192, 0.9084452287076215, 0.9084505720770237, 0.908455915446426, 0.9084581828117249, 0.9084582042981697, 0.9084582257846145, 0.9084601552357108, 0.9084660272825826, 0.9084718993294544, 0.9084798658291655, 0.9084896107527609, 0.9084993556763561, 0.9085091005999514, 0.9085168975501046, 0.9085246119423744, 0.9085346340169995, 0.9085446560916244, 0.9085546781662495, 0.9085647002408745, 0.9085747223154994, 0.9085847443901244, 0.9085907210465252, 0.9085915225812768, 0.9085798104890535, 0.9085639659010358, 0.908552925526364, 0.9085463229301931, 0.9085397203340224, 0.9085331177378515, 0.9085265151416806, 0.9085335674295917, 0.908541381277779, 0.9085410635323161, 0.9085407457868533, 0.9085404280413905, 0.9085401102959276, 0.9085397925504648, 0.9085453060428743, 0.9085552848445424, 0.9085652636462104, 0.9085752424478784, 0.9085852212495464, 0.9085806722411534, 0.9085748595522634, 0.9085690468633733, 0.9085632341744833, 0.9085574214855932, 0.9085516087967032, 0.9085324070051928, 0.9085157814006575, 0.9085124425403657, 0.9085091036800739, 0.9085057648197821, 0.9085024259594903, 0.9084990870991985, 0.9084957482389067, 0.9084924093786149, 0.9084890705183231, 0.9084945460603051, 0.9085047527175599, 0.9085149593748149, 0.9085251660320698, 0.9085353726893247, 0.9085455793465795, 0.9085557860038346, 0.9085648013335317, 0.9085676476904787, 0.9085704940474257, 0.9085733404043728, 0.9085761867613197, 0.9085790331182666, 0.9085818794752136, 0.9085847258321607, 0.9085875721891077, 0.9085904185460546, 0.9085928543346473, 0.9085925914694879, 0.9085923286043286, 0.9085920657391693, 0.9085918028740099, 0.9085945451129753, 0.9085995276592598, 0.908604510205544, 0.9086094927518283, 0.9086144752981127, 0.9086194578443971, 0.9086244403906814, 0.908628477737087, 0.908628949205606, 0.9086280165669721, 0.9086270839283384, 0.9086261512897045, 0.9086252186510706, 0.9086242860124367, 0.9086221588889898, 0.9086199261006626, 0.9086176933123354, 0.9086154605240083, 0.9086146580809271, 0.908618740583491, 0.9086228230860549, 0.9086269055886189, 0.9086309880911829, 0.9086350705937467, 0.9086391530963107, 0.9086432355988746, 0.9086473181014386, 0.9086514006040025, 0.9086554831065665, 0.908659720180778, 0.9086722903554796, 0.9086848605301812, 0.9086968617763822, 0.9087052183169202, 0.9087135748574582, 0.9087219313979962, 0.9087302879385344, 0.9087386444790724, 0.9087470010196104, 0.908753341916374, 0.9087576178926275, 0.9087618938688811, 0.9087661698451346, 0.9087704458213881, 0.9087747217976416, 0.9087789977738951, 0.9087832737501487, 0.9087875497264022, 0.9087901570901966, 0.9087894775971512, 0.9087887981041058, 0.9087881122841961, 0.9087864495174757, 0.9087847867507551, 0.9087831239840346, 0.9087814612173141, 0.9087758347086827, 0.9087687928091817, 0.9087617509096806, 0.9087538606070971, 0.9087415351148652, 0.9087292096226335, 0.9087168841304016, 0.9086993575920834, 0.9086771311924171, 0.9086549047927508, 0.9086326783930845, 0.9086104519934182, 0.9085813064735464, 0.9085505673927237, 0.9085198283119009, 0.9084890892310782, 0.9084583501502554, 0.9084276110694326, 0.9083968719886097, 0.9083692401954204, 0.908356655302048, 0.9083440704086758, 0.9083465482127243, 0.9083567400831031, 0.908366931953482, 0.9083771238238607, 0.9083873156942395, 0.9083975075646182, 0.908407699434997, 0.9084178913053758, 0.9084277239055704, 0.9084372295382557, 0.9084467351709409, 0.9084562408036263, 0.9084579387325766, 0.9084582773700929, 0.9084586160076089, 0.9084537874553474, 0.9084468313613198, 0.9084398752672922, 0.9084329191732645, 0.908416873618711, 0.9084088869392504, 0.9084167849287057, 0.9084246018822202, 0.9084309449075443, 0.9084372879328686, 0.9084436309581927, 0.9084504844142698, 0.908460166730513, 0.9084698490467562, 0.9084803480015327, 0.9084937745780499, 0.9085072011545672, 0.9085206277310847, 0.908534054307602, 0.9085474808841194, 0.9085602577974827, 0.9085698570628364, 0.908579276256803, 0.9085886954507696, 0.9085981146447359, 0.9086075338387025, 0.9086173730174085, 0.9086296433781433, 0.9086419137388779, 0.9086416813573965, 0.9086344961291455, 0.9086273109008944, 0.9086201256726435, 0.9086129404443926, 0.9086057552161415, 0.9085985699878905, 0.9085913847596394, 0.9085841995313884, 0.9085859011431444, 0.908595808990587, 0.9086057781804238, 0.9086158670012731, 0.9086259558221224, 0.9086360446429715, 0.908646133463821, 0.9086562222846701, 0.9086663111055194, 0.9086763999263687, 0.9086864887472179, 0.9086965775680671, 0.9087066663889165, 0.9087167552097657, 0.908726844030615, 0.9087369328514643, 0.908745453103549, 0.9087539222682972, 0.9087623914330454, 0.9087708605977937, 0.9087793297625419, 0.9087877989272901, 0.9087962680920383, 0.90880178674601, 0.9088071763675108, 0.9088125659890117, 0.9088179556105126, 0.9088233452320136, 0.9088287348535145, 0.9088341244750153, 0.9088395140965162, 0.9088449037180171, 0.9088494792759159, 0.9088504647805258, 0.9088514502851359, 0.9088524357897458, 0.9088522408972664, 0.9088514579299094, 0.9088506749625525, 0.9088498919951955, 0.9088491090278386, 0.9088483260604816, 0.908847885379003, 0.9088501241494085, 0.9088541276108302, 0.9088581310722519, 0.9088621345336737, 0.9088661379950954, 0.9088701414565171, 0.9088741449179389, 0.9088781483793607, 0.9088821518407824, 0.9088861553022041, 0.9088901587636258, 0.9088863071088382, 0.9088809548032795, 0.9088756024977207, 0.9088702501921619, 0.9088648978866033, 0.9088595455810445, 0.9088541932754859, 0.9088529655235376, 0.9088525142519481, 0.9088537210143002, 0.9088637136413926, 0.9088737062684851, 0.9088836988955773, 0.9088936915226697, 0.9089036841497622, 0.9089136767768545, 0.908923669403947, 0.9089336620310393, 0.9089433243038406, 0.9089515690956901, 0.9089598138875397, 0.9089680586793891, 0.9089763034712388, 0.9089845482630883, 0.9089913075080553, 0.908997902589081, 0.9090044976701068, 0.9090110927511323, 0.9090176878321581, 0.9090242829131838, 0.9090310888599479, 0.9090358758412556, 0.9090406628225634, 0.9090454498038711, 0.9090502367851788, 0.909052427825633, 0.909054326051514, 0.9090562242773952, 0.9090568058864104, 0.9090541196072072, 0.909053069522396, 0.9090564317244043, 0.9090597939264126, 0.9090601317658842, 0.9090644033488655, 0.9090665563292804, 0.9090686976242934, 0.9090708389193065, 0.9090729802143197, 0.9090751215093328, 0.9090772628043459, 0.9090794040993591, 0.9090812484315435, 0.9090828001938562, 0.9090843519561689, 0.909086512451073, 0.9090887370765188, 0.9090909617019647, 0.9090931863274105, 0.9090954109528564, 0.9090976355783023, 0.9090998602037482, 0.9091026628533196, 0.909106009459861, 0.9091093560664023, 0.9091127026729435, 0.9091160492794849, 0.9091088641061496, 0.9090963891353439, 0.909083914164538, 0.9090714391937322, 0.9090582899315116, 0.9090428666880935, 0.9090274434446755, 0.9090120202012573, 0.9089965969578392, 0.9089811737144211, 0.908965750471003, 0.9089485460293386, 0.9089289885071016, 0.9089094309848644, 0.9088898734626274, 0.9088703159403902, 0.9088507584181531, 0.9088381405152112, 0.9088409558889132, 0.9088398024762818, 0.9088374948811344, 0.9088351872859871, 0.9088328796908398, 0.9088281604546944, 0.9088216579979858, 0.9088151555412772, 0.9088086530845685, 0.90880215062786, 0.9087956481711514, 0.9087891457144428, 0.9087855925789976, 0.9087868630114357, 0.908788133443874, 0.9087895298101423, 0.9087913319547367, 0.9087931340993314, 0.9087923727828096, 0.9087891084263293, 0.9087858440698491, 0.9087825797133688, 0.9087793153568885, 0.9087760510004083, 0.908772786643928, 0.9087695222874478, 0.9087662579309674, 0.9087629935744872, 0.908759729218007, 0.9087564648615266, 0.9087553863710773, 0.9087563542845207, 0.9087573221979641, 0.908759602707603, 0.9087620463509388, 0.9087644899942746, 0.9087669336376103, 0.908769377280946, 0.9087718209242818, 0.9087742645676176, 0.9087767082109532, 0.9087794768955512, 0.9087825165104597, 0.9087855561253684, 0.9087885957402768, 0.9087916353551854, 0.9087946749700939, 0.9087968699589065, 0.9087977167250118, 0.9087985634911171, 0.9087981963757533, 0.908795781695155, 0.9087933670145567, 0.9087909523339583, 0.90878853765336, 0.9087845052964354, 0.9087785583673137, 0.908772611438192, 0.9087667622735172, 0.908764038847787, 0.9087613154220568, 0.9087585919963266, 0.9087558685705965, 0.9087531451448663, 0.9087504217191361, 0.908747698293406, 0.9087449748676759, 0.9087422514419456, 0.9087405185199415, 0.9087421392184851, 0.9087437599170286, 0.908745380615572, 0.9087463703107858, 0.9087473029524071, 0.9087482355940286, 0.9087491682356501, 0.9087501008772716, 0.9087510335188931, 0.9087519661605146, 0.9087523467750072, 0.9087481904999015, 0.9087423937779353, 0.9087365970559692, 0.908730800334003, 0.9087250036120369, 0.9087192068900707, 0.9087167489657695, 0.9087225226122271, 0.9087285039998947, 0.9087344853875625, 0.9087404667752302, 0.9087424675445412, 0.908742627414056, 0.9087427872835707, 0.9087429471530855, 0.9087431070226002, 0.9087432668921149, 0.9087434267616297, 0.9087435866311442, 0.9087387248227441, 0.9087273747674172, 0.9087160247120903, 0.9087094750111979, 0.9087060222029801, 0.9087025693947626, 0.9086991165865448, 0.908695663778327, 0.9086922109701093, 0.9086930511654818, 0.9086965336101236, 0.9087001869841068, 0.9087047150642547, 0.9087092431444024, 0.9087137712245502, 0.908718299304698, 0.9087228273848458, 0.9087273554649935, 0.9087318835451412, 0.9087364116252891, 0.9087409397054369, 0.9087454677855847, 0.9087499958657325, 0.908756633264097, 0.9087628126721765, 0.9087643557680539, 0.9087658988639313, 0.9087674419598086, 0.9087689850556859, 0.9087705281515632, 0.9087720712474405, 0.9087736143433178, 0.9087751574391952, 0.9087767005350726, 0.90877824363095, 0.9087804361306213, 0.90878280038134, 0.9087851646320587, 0.9087799088788815, 0.9087726638027629, 0.9087654187266442, 0.9087581736505255, 0.9087509285744069, 0.9087441511999002, 0.9087444804280513, 0.9087479644628564, 0.9087528782482851, 0.9087577920337138, 0.9087627058191425, 0.9087676196045711, 0.9087688656737569, 0.9087699965279157, 0.9087711273820748, 0.9087722582362336, 0.9087748776447282, 0.9087808466790118, 0.9087868157132954, 0.9087927847475792, 0.9087995986147415, 0.9088076797935847, 0.9088157609724279, 0.9088238421512709, 0.9088283349941917, 0.908831840261838, 0.9088353455294844, 0.9088388507971308, 0.908842356064777, 0.9088458613324233, 0.9088483988440128, 0.9088438504468856, 0.9088392867411628, 0.9088347230354398, 0.9088301593297168, 0.9088300481060974, 0.908832256952451, 0.9088344657988046, 0.9088367097337195, 0.9088396710960838, 0.9088426324584482, 0.9088455938208124, 0.9088508874922304, 0.9088587684652243, 0.9088666494382183, 0.9088745304112122, 0.9088824113842062, 0.9088902923572002, 0.9088981733301941, 0.9089076932370606, 0.9089179490633417, 0.9089282048896228, 0.9089384607159039, 0.908948716542185, 0.9089589723684661, 0.9089683703505218, 0.9089759193925745, 0.9089834684346272, 0.90899101747668, 0.9089985665187326, 0.9090061155607854, 0.909013664602838, 0.9090179210469597, 0.9090214030870776, 0.9090248851271954, 0.909029830029616, 0.9090358996657016, 0.9090419693017873, 0.9090480389378729, 0.9090541085739585, 0.9090579135879976, 0.90905963132408, 0.9090613490601623, 0.9090630667962447, 0.909064784532327, 0.9090567355191723, 0.9090414710405327, 0.9090405877942072, 0.9090431359560085, 0.9090456841178101, 0.9090482322796114, 0.9090515553008105, 0.9090583538651775, 0.9090651524295446, 0.9090719509939118, 0.9090787495582788, 0.9090855481226459, 0.9090923466870129, 0.9090991452513799, 0.9091068575672401, 0.909114611070629, 0.9091223645740178, 0.9091301180774066, 0.9091365931036064, 0.9091426907945821, 0.9091487884855576, 0.9091548861765331, 0.9091609838675087, 0.9091670815584842, 0.9091731792494598, 0.9091792769404354, 0.9091853746314109, 0.9091931116951013, 0.9092022329504251, 0.909211354205749, 0.9092204754610727, 0.9092295967163964, 0.9092387179717202, 0.909247839227044, 0.9092569604823677, 0.9092660817376914, 0.9092752029930152, 0.9092843242483389, 0.9092543058680367, 0.9092154866183124, 0.9091766673685882, 0.9091378481188639, 0.9090990288691396, 0.9090602096194154, 0.9090213903696911, 0.9089825711199668, 0.9089437518702426, 0.9089049326205182, 0.9088667170164925, 0.9088716559967129, 0.9088789803421358, 0.9088863046875589, 0.9088936290329819, 0.908900953378405, 0.908908277723828, 0.9089148032269887, 0.9089146072199554, 0.9089116963601784, 0.9089087855004014, 0.9089058746406243, 0.9089029637808472, 0.9089000529210701, 0.908897142061293, 0.908894231201516, 0.9088913203417388, 0.9088884094819618, 0.9088854986221847, 0.9088825877624077, 0.9088796769026306, 0.9088767660428535, 0.9088738551830764, 0.9088709443232993, 0.9088683978927418, 0.9088659530224517, 0.908864127354809, 0.9088673345843921, 0.9088705418139751, 0.9088737490435581, 0.9088769562731411, 0.9088801635027242, 0.9088833707323071, 0.90888657796189, 0.908889785191473, 0.9088938209370916, 0.9088983690831675, 0.9089029172292433, 0.9089074653753191, 0.908912013521395, 0.9089165616674708, 0.9089211098135466, 0.9089256579596224, 0.9089302061056983, 0.9089347542517741, 0.9089383324398315, 0.9089417938814073, 0.908945255322983, 0.9089487167645587, 0.9089521782061345, 0.9089352127445409, 0.9089167769013968, 0.9088983410582527, 0.9088797529665217, 0.9088569475397967, 0.9088341421130717, 0.9088113366863466, 0.9087885312596217, 0.9087686119425247, 0.9087652082187125, 0.9087618044949002, 0.908758400771088, 0.9087549970472757, 0.9087507992991111, 0.9087464910291148, 0.9087421827591187, 0.9087378744891224, 0.908733566219126, 0.9087292579491298, 0.9087249496791335, 0.9087206414091373, 0.908716333139141, 0.9087111799991506, 0.9087024766193073, 0.9086937732394638, 0.9086850698596203, 0.9086764300971308, 0.9086874814389926, 0.9086986493149745, 0.9087098171909562, 0.9087209850669381, 0.90873215294292, 0.908743320818902, 0.9087544886948837, 0.9087642023815146, 0.9087695502363007, 0.9087743388553536, 0.9087791274744066, 0.9087839160934594, 0.9087887047125124, 0.9087934933315652, 0.9087982819506182, 0.908803070569671, 0.9088078591887239, 0.9088150416367733, 0.9088227569163583, 0.908830472195943, 0.9088381874755278, 0.9088278055393753, 0.9088157684862059, 0.908808724342748, 0.908812355758728, 0.9088159871747081, 0.9088196185906883, 0.9088232500066684, 0.9088268814226486, 0.9088294170474588, 0.9088315417226611, 0.9088331957212865, 0.9088301535973209, 0.9088271114733552, 0.9088240693493894, 0.9088210272254237, 0.908817985101458, 0.9088141540767142, 0.9088102223101782, 0.9088062905436423, 0.9088023587771064, 0.9088014200423951, 0.908808264664527, 0.908815109286659, 0.9088219539087912, 0.9088287985309231, 0.9088356431530553, 0.9088424877751873, 0.9088498032148434, 0.9088569070510513, 0.9088580133547085, 0.9088591196583657, 0.9088602259620231, 0.9088613322656802, 0.9088624385693373, 0.9088636776158365, 0.9088669688847018, 0.9088702601535672, 0.9088735514224326, 0.9088768426912981, 0.9088801339601633, 0.9088834252290288, 0.908887573238424, 0.9088943934170675, 0.9089012135957111, 0.9089080337743547, 0.9089148539529981, 0.9089216741316417, 0.9089284943102851, 0.9089353144889287, 0.9089390244236447, 0.9089422030886385, 0.9089453817536325, 0.9089485604186263, 0.9089525490164848, 0.9089565568628899, 0.9089605647092949, 0.9089645725557, 0.908968580402105, 0.90897258824851, 0.90897253995291, 0.9089710515404429, 0.9089695631279757, 0.9089680747155084, 0.9089665863030414, 0.9089662016249342, 0.9089685295382672, 0.9089692493933074, 0.9089699692483475, 0.9089706891033877, 0.9089714089584279, 0.908972128813468, 0.9089728486685082, 0.9089735685235483, 0.9089742883785885, 0.9089757051788154, 0.9089775017930535, 0.9089792984072915, 0.9089810950215294, 0.9089828916357674, 0.9089803628922205, 0.9089751909885116, 0.9089673448792797, 0.9089594987700478, 0.9089516526608157, 0.9089438065515837, 0.9089363304802505, 0.9089339688883764, 0.9089316072965024, 0.9089292457046285, 0.9089268841127545, 0.9089245225208804, 0.9089221609290065, 0.9089197993371324, 0.9089179507662997, 0.9089222483178601, 0.9089265458694205, 0.908930843420981, 0.9089351409725415, 0.9089394385241019, 0.9089439812468376, 0.9089485769307466, 0.9089531726146558, 0.9089545891150014, 0.9089552160561202, 0.9089558429972391, 0.9089564699383579, 0.908956582547771, 0.9089533741051297, 0.9089501656624883, 0.9089478077317035, 0.9089466397295839, 0.9089454717274643, 0.9089443037253447, 0.9089431357232252, 0.9089419677211056, 0.908940799718986, 0.9089396317168665, 0.9089384637147468, 0.9089414350928454, 0.9089430412583444, 0.9089360979795382, 0.908929154700732, 0.9089222114219259, 0.9089160614527196, 0.9089239356773864, 0.9089318099020531, 0.9089396841267199, 0.9089475583513866, 0.9089554325760534, 0.9089627516047205, 0.9089680740583419, 0.9089733965119631, 0.9089787189655845, 0.9089840414192059, 0.9089893638728272, 0.9089946863264484, 0.9090000087800698, 0.9090055519804436, 0.9090112039661231, 0.9090168559518025, 0.9090225079374818, 0.9090281599231613, 0.9090323063879201, 0.9090351372833209, 0.9090379681787216, 0.9090407990741223, 0.909043629969523, 0.9090464608649238, 0.9090466543259679, 0.9090451130116751, 0.9090435716973824, 0.9090420303830896, 0.9090404890687969, 0.9090389477545041, 0.9090374064402114, 0.9090359766137406, 0.9090376544069287, 0.909039332200117, 0.9090410099933053, 0.9090426877864934, 0.9090443655796817, 0.9090460433728699, 0.9090477211660581, 0.9090493989592463, 0.9090572836151942, 0.9090659320663179, 0.9090745805174418, 0.9090832289685656, 0.9090918774196894, 0.9091005258708131, 0.909109174321937, 0.9091178227730607, 0.9091266333657031, 0.9091355812210351, 0.9091445290763671, 0.9091534769316991, 0.9091624247870311, 0.9091713726423631, 0.909180320497695, 0.9091891032516075, 0.9091977631918202, 0.9092064231320331, 0.9092150830722461, 0.9092237430124589, 0.9092162320310393, 0.9092076715116919, 0.9091991109923447, 0.9091905504729975, 0.9091819899536502, 0.9091734294343028, 0.9091648689149556, 0.9091510580012153, 0.9091506056210521, 0.9091535128726228, 0.9091564201241936, 0.9091593273757643, 0.909162234627335, 0.9091651418789057, 0.9091680491304766, 0.9091709563820473, 0.909173863633618, 0.9091591974637829, 0.9091383475323498, 0.9090791631578825, 0.9090199787834152, 0.908960794408948, 0.9089186971045693, 0.9088786584391029, 0.908847821282454, 0.908853474474846, 0.9088591276672379, 0.9088647808596297, 0.9088704340520217, 0.9088760872444136, 0.9088817404368055, 0.9088873936291975, 0.9088930468215893, 0.9088987000139812, 0.9089043532063732, 0.9089100063987651, 0.9089156595911569, 0.9089160624715893, 0.908914503625085, 0.9089150505258965, 0.9089177492948766, 0.9089204480638565, 0.908920833506277, 0.9089233973580938, 0.9089268725715355, 0.908930347784977, 0.9089338229984187, 0.9089372982118604, 0.9089407734253021, 0.9089442486387438, 0.9089477238521855, 0.908951199065627, 0.9089534413890823, 0.9089545135167478, 0.9089555856444131, 0.9089566577720788, 0.9089577298997442, 0.9089588020274098, 0.9089598741550753, 0.9089609462827408, 0.9089620184104062, 0.9089630905380717, 0.9089641626657372, 0.9089476505503498, 0.9089523562200378, 0.9089602601195136, 0.9089681640189895, 0.9089760679184652, 0.9089839718179411, 0.9089918757174168, 0.9089997796168926, 0.9090076835163685, 0.9090116661564551, 0.9090138024099181, 0.9090159386633812, 0.9090180749168442, 0.9090202111703073, 0.9090223474237703, 0.9090244836772333, 0.9090213355046413, 0.9090063006688557, 0.9089912658330701, 0.9089762309972846, 0.9089578036030446, 0.908938498822555, 0.9089191940420653, 0.9088998892615756, 0.9088805844810861, 0.9088623963729396, 0.9088582071170634, 0.9088540178611872, 0.908849828605311, 0.9088456393494349, 0.9088414500935585, 0.908838732295574, 0.9088430983179872, 0.9088474643404002, 0.9088518303628134, 0.9088561963852265, 0.9088614953530003, 0.9088676931251877, 0.9088738908973748, 0.9088800886695623, 0.9088813687559861, 0.9088796649311124, 0.9088779611062385, 0.9088762572813647, 0.9088745534564908, 0.9088719406862751, 0.9088542999707497, 0.9088388495251706, 0.9088239347321598, 0.9088090199391491, 0.9088024676268357, 0.9087980315357882, 0.9087935954447406, 0.9087891593536931, 0.9087847232626455, 0.908780287171598, 0.9087763905217979, 0.908775409754919, 0.908774009802338, 0.9087681506085897, 0.9087622914148414, 0.908756432221093, 0.9087505730273447, 0.9087447138335963, 0.908738854639848, 0.9087390440825115, 0.9087457444586977, 0.9087524448348842, 0.9087591452110705, 0.9087658455872568, 0.9087725459634431, 0.9087792502413226, 0.908786082949013, 0.9087929156567033, 0.9087997483643935, 0.9088065810720838, 0.9088134137797741, 0.9088159275853189, 0.9088166236980604, 0.9088169183544732, 0.9088172130108859, 0.9088175076672987, 0.9088178023237116, 0.9088180969801244, 0.9088183916365372, 0.9088186862929499, 0.9088189809493628, 0.9088192756057756, 0.9088219504082725, 0.9088298019778434, 0.9088376535474141, 0.908845505116985, 0.9088522444499716, 0.9088587779398603, 0.9088653114297488, 0.9088718449196374, 0.908878378409526, 0.9088849118994146, 0.9088914453893032, 0.9088979788791918, 0.9089035621159713, 0.9089048273895064, 0.9089060926630412, 0.9089073579365763, 0.9089086232101113, 0.9089098884836464, 0.9089111537571813, 0.9089124190307165, 0.9089136843042515, 0.9089149495777864, 0.9089162148513215, 0.9089174801248565, 0.9089187453983915, 0.9089206784531216, 0.9089230196069911, 0.9089253607608605, 0.9089277019147297, 0.9089309710021197, 0.9089343385435855, 0.9089377060850514, 0.9089410736265172, 0.908944441167983, 0.9089478087094489, 0.9089495191118155, 0.9089507104829678, 0.9089519018541201, 0.9089535590931517, 0.9089559009386811, 0.9089582427842104, 0.9089605846297398, 0.9089629264752692, 0.9089652683207987, 0.908967610166328, 0.9089699520118575, 0.9089722938573868, 0.9089746357029163, 0.9089738730226612, 0.9089718005739336, 0.9089743548266286, 0.9089769090793237, 0.9089794633320187, 0.9089820175847139, 0.908984571837409, 0.9089871260901041, 0.908989680342799, 0.9089920345426725, 0.9089943740286166, 0.9089932486016764, 0.9089952045609441, 0.9089937438571161, 0.908992283153288, 0.9089908224494598, 0.9089893617456319, 0.9089881439685608, 0.908987584054816, 0.9089870241410714, 0.9089864642273267, 0.908985904313582, 0.9089853443998372, 0.9089853202838365, 0.9089856313431531, 0.9089859424024698, 0.9089862534617865, 0.9089880172581167, 0.9089910893839058, 0.9089941615096948, 0.9089966103652607, 0.9089978440241091, 0.9089990776829575, 0.9089992174745067, 0.9089924059048838, 0.9089855943352609, 0.9089787827656379, 0.9089743246784048, 0.9089706786185202, 0.9089670325586358, 0.9089638735618357, 0.9089616479621435, 0.9089594729114774, 0.9089616267777152, 0.9089642885971203, 0.9089669504165254, 0.9089696122359305, 0.9089741182438615, 0.9089797583509294, 0.9089825979369397, 0.9089811996479764, 0.9089807585026577, 0.908981341527918, 0.9089819245531785, 0.9089825075784387, 0.908983090603699, 0.9089818821850797, 0.9089798915554077, 0.9089781237182083, 0.9089763558810089, 0.9089745880438094, 0.9089747058147843, 0.9089782444737483, 0.9089817831327123, 0.9089853217916763, 0.9089888604506402, 0.9089913149460587, 0.9089906766723705, 0.9089843720308057, 0.9089772341983509, 0.908970096365896, 0.9089629585334412, 0.9089558207009865, 0.9089486828685316, 0.9089415450360767, 0.9089344072036218, 0.908927269371167, 0.9089197973923747, 0.9089078670858034, 0.9088997513297742, 0.9088922863839586, 0.9088848214381431, 0.9088776467202913, 0.908870908142857, 0.9088641695654229, 0.9088574309879887, 0.9088506924105546, 0.9088439538331203, 0.9088372152556863, 0.908830476678252, 0.9088162090928938, 0.9087995436884875, 0.9087912943976195, 0.9087830451067518, 0.9087747958158839, 0.9087665465250162, 0.9087582972341484, 0.9087500479432805, 0.9087455844983046, 0.9087439119697582, 0.9087422554723582, 0.908740598974958, 0.9087389424775578, 0.9087340186890303, 0.9087212679445775, 0.9087085172001246, 0.9086957664556718, 0.9086847082730913, 0.9086810633938701, 0.908677418514649, 0.9086737736354278, 0.9086701287562067, 0.9086681324931336, 0.9086722055160235, 0.9086769441286866, 0.9086816827413497, 0.9086864213540129, 0.908691159966676, 0.908696112080276, 0.908695304722523, 0.9086937973799897, 0.9086922900374562, 0.9086907826949229, 0.9086892753523895, 0.9086877680098561, 0.9086862606673227, 0.908693337949016, 0.9086967577809117, 0.9087001776128076, 0.9087035974447035, 0.9087070172765994, 0.9087104371084953, 0.9087138569403912, 0.908717276772287, 0.908720696604183, 0.9087241164360789, 0.9087224305883108, 0.9087197593931255, 0.9087170881979401, 0.9087144170027548, 0.9087117458075695, 0.9087090746123841, 0.9087064034171988, 0.9087076920834698, 0.908711817657061, 0.9087109391389931, 0.9087074309358381, 0.908703922732683, 0.9087004145295279, 0.9086969063263728, 0.9086933981232177, 0.9086898899200626, 0.9086835392091861, 0.908676820976379, 0.9086741966387993, 0.908680889882289, 0.9086902999652529, 0.9086997100482168, 0.9087091201311805, 0.9087185302141445, 0.9087279402971082, 0.9087373503800721, 0.9087419416880131, 0.9087459675477448, 0.9087499934074765, 0.9087520606546872, 0.9087503308974987, 0.9087478898895283, 0.9087454488815581, 0.9087430078735879, 0.9087405668656175, 0.9087381258576472, 0.9087356848496769, 0.9087332438417067, 0.9087308028337364, 0.9087283618257661, 0.9087256508551975, 0.9087183531366971, 0.9087110554181969, 0.9087037576996966, 0.9086964599811962, 0.9086924079743043, 0.9086934220730823, 0.9086916602322537, 0.9086896555713109, 0.9086876884959433, 0.9086865244844081, 0.908685360472873, 0.9086841964613378, 0.9086830324498025, 0.9086818684382674, 0.9086807044267322, 0.908679540415197, 0.9086783764036618, 0.9086772123921265, 0.9086710914106, 0.9086540226587803, 0.9086369539069605, 0.9086205902277185, 0.9086118299497479, 0.9086030696717772, 0.9085943093938067, 0.9085869162184244, 0.9085891540000126, 0.9085956705809035, 0.9086002700501514, 0.9085981172427884, 0.9085930551302364, 0.908586694953774, 0.9085803347773115, 0.908573974600849, 0.9085676144243865, 0.908561254247924, 0.9085548940714614, 0.9085485338949989, 0.9085337425832275, 0.9085132424437286, 0.9084931977785069, 0.9084831536464183, 0.9084819612914323, 0.9084807689364462, 0.9084795765814604, 0.9084783842264743, 0.9084766366196013, 0.908476727036255, 0.9084779586999114, 0.9084791903635677, 0.9084804220272241, 0.9084816536908804, 0.9084828853545368, 0.9084845409157292, 0.9084882486468696, 0.9084938365253532, 0.9084994244038369, 0.9085050122823206, 0.9085073807711683, 0.9085095504020404, 0.9085117200329126, 0.9085101368481904, 0.9084975336851324, 0.9084849305220744, 0.9084723273590164, 0.9084612077727734, 0.9084587782824836, 0.9084623355516235, 0.9084658928207633, 0.9084694500899032, 0.908473007359043, 0.9084765646281829, 0.9084801218973229, 0.9084836791664628, 0.9084872364356027, 0.9084907937047425, 0.9084943509738824, 0.9084979082430222, 0.9085055611816684, 0.9085136702752992, 0.9085177268003624, 0.9085168745781196, 0.9085160223558766, 0.9085171522657834, 0.9085193897306814, 0.9085216271955792, 0.9085238646604771, 0.9085265635429101, 0.9085294577588996, 0.9085323519748891, 0.9085352461908786, 0.9085381404068682, 0.9085410346228576, 0.9085426577004136, 0.9085421415884605, 0.9085416254765075, 0.9085433091437206, 0.9085476240477166, 0.9085519389517125, 0.9085562538557086, 0.9085605687597046, 0.9085629808928201, 0.9085622779982723, 0.9085615751037245, 0.9085608722091768, 0.908560169314629, 0.9085594664200813, 0.9085587635255337, 0.9085586607053308, 0.9085568734833214, 0.908555079145883, 0.9085532848084443, 0.9085514904710057, 0.9085494387376455, 0.9085458010947505, 0.9085350891124034, 0.9085243771300562, 0.908513665147709, 0.9085046769560998, 0.9085030523871013, 0.9085014278181028, 0.9084998032491043, 0.9084981786801057, 0.9084965541111072, 0.908493879754563, 0.9084885570398831, 0.9084845705208929, 0.9084834399672455, 0.9084836802695027, 0.9084839205717601, 0.9084810038123445, 0.9084773479193251, 0.9084736920263057, 0.9084700361332863, 0.9084663802402667, 0.9084627243472472, 0.9084590684542279, 0.9084554125612083, 0.9084545604474908, 0.9084617925149789, 0.9084690245824669, 0.9084762566499549, 0.9084834887174431, 0.9084827834272253, 0.9084805423267622, 0.9084783012262991, 0.9084760601258361, 0.9084738190253732, 0.9084715779249101, 0.9084693368244471, 0.9084614357661569, 0.9084528582736869, 0.9084442807812169, 0.9084357032887469, 0.9084272352345687, 0.9084189937048304, 0.9084171711525466, 0.9084163482047904, 0.9084146879315278, 0.9084114723086237, 0.9084023743230965, 0.9083937845321448, 0.9083862092171622, 0.9083854753816137, 0.9083847415460654, 0.9083867744464266, 0.9083938046143729, 0.9084008347823194, 0.9084054710717259, 0.9084080024945349, 0.9084105339173438, 0.9084130653401529, 0.9084155967629619, 0.9084239309298865, 0.9084324187734097, 0.908440906616933, 0.9084493944604564, 0.9084578823039795, 0.9084593641687028, 0.9084519924582499, 0.908444620747797, 0.908437249037344, 0.9084298773268912, 0.9084225056164383, 0.9084151339059854, 0.9084077621955325, 0.9084003904850797, 0.9083930187746267, 0.9083856470641738, 0.9083782753537208, 0.9083709036432681, 0.9083635319328152, 0.9083561602223622, 0.9083466506790709, 0.908334701051823, 0.9083227514245751, 0.9083079029327029, 0.9082975181349006, 0.9083014053279348, 0.9083088633065952, 0.9083163212852557, 0.9083237792639163, 0.9083312372425767, 0.9083386952212371, 0.9083400020265602, 0.908340714884103, 0.9083414277416457, 0.9083421405991885, 0.908341125696693, 0.9083399850244946, 0.9083388443522963, 0.9083377036800979, 0.9083365630078997, 0.9083339898982701, 0.908328306481738, 0.9083226230652061, 0.9083169396486741, 0.9083112562321423, 0.9083055728156104, 0.9082998893990784, 0.9082942059825465, 0.9082684774100904, 0.9082635264660153, 0.9082585755219401, 0.908251070608894, 0.9082277941023342, 0.9081928583944187, 0.908157922686503, 0.9081229869785873, 0.9080880512706716, 0.9080726340026934, 0.9080778397228699, 0.9080828270585353, 0.9080878143942006, 0.908092801729866, 0.9080977890655312, 0.9081027764011965, 0.9081077637368618, 0.9081127510725271, 0.9081177384081924, 0.9081227257438577, 0.9081277130795229, 0.9081327004151882, 0.9081376877508536, 0.9081426750865188, 0.9081476624221843, 0.908151017873325, 0.9081518865767424, 0.908154528602112, 0.9081578902793823, 0.9081612519566524, 0.9081646136339225, 0.9081679753111929, 0.908171336988463, 0.9081746986657331, 0.9081780603430032, 0.9081814220202735, 0.9081846584537272, 0.9081856591739066, 0.9081866598940858, 0.9081876606142651, 0.9081886613344443, 0.9081885115005577, 0.9081861359892611, 0.9081837604779646, 0.9081813849666679, 0.9081790094553713, 0.9081766339440747, 0.9081742584327781, 0.9081718829214815, 0.9081695074101849, 0.9081679507775002, 0.9081690383118565, 0.9081701258462125, 0.9081712133805686, 0.9081723009149246, 0.9081733884492807, 0.908175311698816, 0.9081778453456003, 0.9081803789923847, 0.908182912639169, 0.9081803547705336, 0.9081724735545729, 0.908164592338612, 0.9081567111226514, 0.9081508281927667, 0.9081507842058698, 0.9081443853102764, 0.9081379864146828, 0.9081315875190894, 0.9081251886234959, 0.9081187897279024, 0.908112390832309, 0.9081128445776969, 0.9081146630858734, 0.9081164815940499, 0.9081183001022265, 0.9081201186104031, 0.9081219371185796, 0.9081237556267562, 0.9081255741349328, 0.9081273926431093, 0.9081292111512858, 0.9081310296594622, 0.9081188209482653, 0.908100503207621, 0.9080831500465383, 0.9080684514964025, 0.9080537529462667, 0.9080390543961309, 0.9080252270405758, 0.9080124238587821, 0.9079996206769884, 0.9079868174951946, 0.907974014313401, 0.9079731714731185, 0.9079802230824612, 0.9079860507423166, 0.9079802548987912, 0.9079744590552659, 0.9079686632117405, 0.9079628673682151, 0.9079570715246899, 0.9079512756811644, 0.9079468238069115, 0.9079424461399981, 0.9079380684730849, 0.9079435239241544, 0.9079527302540279, 0.9079619365839012, 0.9079711429137747, 0.907980349243648, 0.9079896829687155, 0.9079991178028055, 0.9080085526368955, 0.9080179874709856, 0.9080274223050757, 0.9080368571391656, 0.9080462919732557, 0.9080521388300862, 0.9080476524733938, 0.9080431661167014, 0.9080386797600091, 0.9080350940192787, 0.9080308045934844, 0.9080265151676898, 0.9080222257418954, 0.908017936316101, 0.9080136468903064, 0.9080093574645121, 0.9080050680387175, 0.9080007786129229, 0.9079906727418103, 0.9079763281030061, 0.9079619834642019, 0.9079476388253975, 0.9079332941865934, 0.9079287504215896, 0.9079242456528123, 0.9079197408840349, 0.9079152361152577, 0.9079160341417531, 0.9079178267515107, 0.9079196193612682, 0.9079214119710257, 0.9079202512100024, 0.9079181199225883, 0.907915988635174, 0.9079138573477599, 0.9079138061007243, 0.9079140653594286, 0.9079143246181332, 0.9079145838768374, 0.9079148431355419, 0.9079151023942463, 0.9079173622963321, 0.907921806749804, 0.9079244761187476, 0.9079265693930283, 0.9079286626673088, 0.9079307559415895, 0.90793284921587, 0.9079349424901506, 0.9079370357644312, 0.9079391290387118, 0.9079412223129923, 0.9079427824650349, 0.9079437506199506, 0.9079447187748663, 0.907945686929782, 0.9079466550846977, 0.9079476232396133, 0.9079485058058292, 0.9079449612284646, 0.9079423739056794, 0.9079397908466632, 0.9079372077876469, 0.9079346247286306, 0.9079320416696144, 0.907929458610598, 0.9079268755515817, 0.9079242924925655, 0.9079217094335492, 0.907919126374533, 0.9079203119102861, 0.9079276946909733, 0.9079354629272637, 0.907943231163554, 0.9079509993998444, 0.9079587676361347, 0.9079665358724252, 0.9079743041087155, 0.9079820723450058, 0.9079898405812963, 0.9079956813252135, 0.9079989913099806, 0.9080023012947479, 0.9080056112795151, 0.9080043204112981, 0.9079940845832934, 0.9079838487552888, 0.9079736129272842, 0.9079633770992794, 0.9079531412712749, 0.9079429054432703, 0.9079326696152656, 0.9079224337872609, 0.9079127078113636, 0.9079030924128297, 0.9078934770142959, 0.9078838616157618, 0.907874246217228, 0.9078646308186942, 0.9078523489788409, 0.9078389477842485, 0.9078255465896559, 0.9078105527352434, 0.9077923685972111, 0.9077741844591789, 0.9077560003211467, 0.9077378161831144, 0.9077196320450823, 0.9077014479070501, 0.90768995473293, 0.9076807628610197, 0.9076745866103602, 0.9076825328715692, 0.9076904791327784, 0.9076984253939875, 0.9077063716551966, 0.9077143179164059, 0.907722264177615, 0.9077302104388241, 0.9077381567000333, 0.9077461029612424, 0.9077540492224516, 0.9077619954836608, 0.9077699417448699, 0.9077664132539149, 0.9077529879015265, 0.907739562549138, 0.9077167006943023, 0.9076937669850557, 0.9076708332758089, 0.9076478995665621, 0.9076251663657864, 0.9076034514311613, 0.9075856082699088, 0.9075732944817484, 0.907560980693588, 0.9075486669054276, 0.9075363531172673, 0.9075269576927032, 0.9075215730111974, 0.9075161883296917, 0.9075108036481859, 0.9075054189666801, 0.9075000342851745, 0.9074946496036687, 0.9074892649221629, 0.9074838802406571, 0.9074784955591513, 0.9074731108776455, 0.907466309104896, 0.9074562956705348, 0.9074513081452825, 0.907455557000266, 0.9074598058552494, 0.9074640547102328, 0.9074683035652162, 0.9074725524201998, 0.9074768012751833, 0.9074810501301667, 0.9074852989851501, 0.9074895478401335, 0.9074965462785254, 0.9075048035863204, 0.907512046315831, 0.9075112676067807, 0.9075104888977304, 0.9075097101886802, 0.9075089314796299, 0.9075081527705795, 0.9075104569256351, 0.9075150460762966, 0.9075196352269581, 0.9075242243776196, 0.9075271777896432, 0.907529872653825, 0.9075325675180068, 0.9075352623821885, 0.9075379572463702, 0.907540652110552, 0.9075433469747337, 0.9075460418389154, 0.9075487367030972, 0.907551431567279, 0.9075541264314606, 0.9075550156709831, 0.9075326554775394, 0.9075102952840957, 0.907487935090652, 0.9074655748972081, 0.9074539280129473, 0.9074562178276979, 0.9074583953905545, 0.9074601078825493, 0.9074618203745441, 0.907463532866539, 0.9074652453585338, 0.9074669578505286, 0.9074686703425234, 0.9074703828345183, 0.9074578062270509, 0.9074356129743296, 0.9074134197216082, 0.9073919870252926, 0.9073739759215322, 0.907355964817772, 0.9073379537140118, 0.9073381468933774, 0.9073410238146544, 0.9073439007359315, 0.9073467776572086, 0.9073496545784857, 0.9073525314997628, 0.9073554084210398, 0.9073583234848835, 0.9073612650844567, 0.9073642066840297, 0.9073643986091808, 0.9073489133148336, 0.9073334280204866, 0.9073179427261393, 0.9073143895590324, 0.9073194110366254, 0.9073244325142182, 0.9073294539918111, 0.907334475469404, 0.907339496946997, 0.9073445184245899, 0.9073495399021827, 0.9073536629143484, 0.907357322807397, 0.9073609827004454, 0.9073648838192272, 0.9073689322014067, 0.9073729805835864, 0.907377028965766, 0.907379919770456, 0.907382042433252, 0.9073840936051658, 0.9073861447770797, 0.9073881959489934, 0.9073902471209072, 0.9073922982928211, 0.9073943494647349, 0.9073964006366486, 0.9073994974680608, 0.9074034437773743, 0.9074073900866876, 0.907411336396001, 0.9074152827053144, 0.9074192290146277, 0.9074234851078606, 0.907428846769977, 0.9074342084320934, 0.90743957009421, 0.9074449317563265, 0.9074502934184429, 0.9074424013547426, 0.9074294792185705, 0.9074165570823984, 0.9074036349462262, 0.907390712810054, 0.9073946371522357, 0.9074002892115147, 0.9074059412707938, 0.9074115933300729, 0.907417245389352, 0.9074228974486311, 0.9074285495079102, 0.9074342015671892, 0.9074399399863728, 0.9074459557339829, 0.9074540406379712, 0.9074630372272094, 0.9074720338164475, 0.9074810304056855, 0.9074900269949238, 0.9074964363701168, 0.9075016878837927, 0.907506662110179, 0.9075116363365656, 0.9075166105629522, 0.9075215847893385, 0.907526559015725, 0.9075315332421114, 0.907536507468498, 0.9075414816948844, 0.9075464559212709, 0.9075515106455381, 0.907556816240173, 0.9075620516703209, 0.9075670912101683, 0.9075700104307038, 0.9075729296512394, 0.9075758488717748, 0.9075787680923102, 0.9075816873128458, 0.9075846065333812, 0.9075875257539168, 0.9075904449744523, 0.9075933641949877, 0.9075962834155232, 0.9075992026360586, 0.907603016773736, 0.9076073311403986, 0.9076116455070612, 0.9076159598737237, 0.9076218548497108, 0.90762960769827, 0.9076373605468291, 0.9076451133953883, 0.9076528662439476, 0.9076606190925067, 0.9076676607619669, 0.9076741068478008, 0.9076805529336347, 0.9076785900700219, 0.9076739266164564, 0.907669263162891, 0.9076645997093254, 0.9076599362557599, 0.9076551632077933, 0.9076503208866973, 0.9076454785656014, 0.9076376987094434, 0.9076200743237958, 0.9076024499381483, 0.9075848255525008, 0.9075672011668532, 0.9075495767812056, 0.9075319523955581, 0.9075143280099106, 0.9074967036242629, 0.9074825323282617, 0.9074825457316226, 0.9074883270447833, 0.907494108357944, 0.9074998896711048, 0.9075056709842655, 0.9075114522974261, 0.9075172336105869, 0.9075230149237477, 0.9075287962369083, 0.9075345775500689, 0.9075403290886227, 0.9075419080910216, 0.9075434870934205, 0.9075450660958194, 0.9075466450982184, 0.9075488507598526, 0.9075514610397318, 0.9075540713196112, 0.9075566815994904, 0.9075592918793697, 0.9075619021592489, 0.9075676910774477, 0.9075742410394905, 0.9075807910015332, 0.907587340963576, 0.9075938909256188, 0.9076004408876615, 0.9076069908497043, 0.9076135408117472, 0.9076168277186891, 0.9076155378736389, 0.9076142480285886, 0.9076129581835383, 0.9076116683384879, 0.9076117861496682, 0.9076137224839227, 0.9076156588181772, 0.9076175951524319, 0.9076195314866864, 0.9076214678209409, 0.9076234041551954, 0.9076253404894501, 0.9076272768237046, 0.9076292131579591, 0.9076311494922137, 0.9076279991190427, 0.9076216813800337, 0.9076153636410247, 0.9076090459020157, 0.9076027281630068, 0.9075964104239977, 0.9075900926849888, 0.9075837749459797, 0.9075820401541422, 0.9075813461304755, 0.9075806521068086, 0.9075799580831418, 0.9075792640594751, 0.9075785700358083, 0.9075778760121417, 0.9075771819884749, 0.9075792688776286, 0.9075844850247768, 0.9075897011719252, 0.9075949173190734, 0.9076001334662217, 0.9076059016725022, 0.9076122608681332, 0.9076186200637639, 0.9076244270625793, 0.9076296588859253, 0.9076348907092711, 0.907640122532617, 0.907645354355963, 0.9076505861793089, 0.9076558180026548, 0.9076610498260007, 0.9076662816493466, 0.9076715134726925, 0.9076763845933395, 0.9076806595819673, 0.9076849345705951, 0.9076889230537987, 0.907692027179924, 0.9076951313060493, 0.9076982354321748, 0.9077013395583, 0.9077044436844254, 0.9077075478105507, 0.907710651936676, 0.9077137560628012, 0.9077168601889267, 0.907719964315052, 0.9077230684411773, 0.9077261725673027, 0.9077300354204412, 0.9077351694271845, 0.9077403034339278, 0.9077460206221971, 0.9077525719831274, 0.9077591233440576, 0.9077656747049878, 0.907772226065918, 0.9077788710633703, 0.9077857395108629, 0.9077926079583556, 0.9077980779975503, 0.907801083424442, 0.9078040888513337, 0.9078070942782255, 0.9078100997051171, 0.9078131051320089, 0.9078161105589007, 0.9078191159857922, 0.907822121412684, 0.9078251268395757, 0.9078281322664674, 0.907831149543858, 0.9078342268884304, 0.9078373042330029, 0.9078403815775753, 0.9078434589221478, 0.9078465362667202, 0.9078477540378884, 0.9078479243447388, 0.907848134708908, 0.9078483450730772, 0.9078485554372466, 0.9078487658014159, 0.9078489761655852, 0.9078491865297544, 0.9078496876148885, 0.9078501892588979, 0.907851243599179, 0.9078543603327278, 0.9078574770662766, 0.9078605937998254, 0.9078637105333742, 0.907866827266923, 0.9078699440004718, 0.9078730607340206, 0.9078761774675695, 0.9078728879570035, 0.9078689318540568, 0.9078640469350194, 0.9078591620159818, 0.9078542770969443, 0.9078493921779069, 0.9078445072588694, 0.907839622339832, 0.9078347374207945, 0.9078339452477084, 0.9078364855033231, 0.9078390257589376, 0.9078415660145522, 0.9078441062701668, 0.9078466465257813, 0.9078491867813958, 0.9078517270370106, 0.9078542672926251, 0.9078568075482396, 0.9078600900189956, 0.9078634331021793, 0.9078667761853632, 0.907870119268547, 0.9078734623517308, 0.9078768054349146, 0.9078801485180985, 0.9078821751911603, 0.9078830760709369, 0.9078839769507134, 0.90788487783049, 0.9078857787102663, 0.9078844455913926, 0.9078827981334829, 0.9078811506755735, 0.9078795032176639, 0.9078778557597542, 0.9078762083018448, 0.9078745608439351, 0.9078729133860255, 0.907871265928116, 0.9078696184702064, 0.9078679710122968, 0.9078663235543872, 0.9078646760964777, 0.9078626922690376, 0.9078609705694556, 0.9078605128268536, 0.9078600550842517, 0.9078595973416499, 0.9078591395990481, 0.9078586818564461, 0.9078582241138442, 0.9078534072181063, 0.9078484548631036, 0.9078435025081009, 0.9078385501530981, 0.9078335977980956, 0.9078286454430928, 0.9078236930880902, 0.9078187407330874, 0.9078137883780848, 0.907808836023082, 0.9078038836680793, 0.9078006931922677, 0.907801768676511, 0.907796588455269, 0.9077807403997495, 0.9077648923442301, 0.9077490442887107, 0.9077331962331913, 0.9077173481776718, 0.907698729831093, 0.9076779792915372, 0.9076572287519814, 0.9076364782124255, 0.9076157276728697, 0.9075949771333138, 0.9075742265937581, 0.9075677991063908, 0.9075757416618183, 0.9075836842172456, 0.9075916267726729, 0.9075995693281004, 0.9076075118835277, 0.907615454438955, 0.9076233969943824, 0.9076313395498097, 0.9076392821052371, 0.9076472246606644, 0.9076551672160917, 0.9076608765067536, 0.9076659171955865, 0.9076709578844195, 0.9076759985732525, 0.9076810392620855, 0.9076869196211217, 0.9076929382973193, 0.9076959407517, 0.9076989432060805, 0.907701945660461, 0.9077049481148416, 0.9077079505692222, 0.9077109530236027, 0.9077139554779833, 0.907717461193843, 0.9077213891750894, 0.907725317156336, 0.9077292451375825, 0.907733173118829, 0.9077364891945967, 0.9077395624000062, 0.9077426356054155, 0.907745708810825, 0.9077487820162344, 0.9077518552216439, 0.9077549284270533, 0.9077580016324627, 0.9077610748378722, 0.9077641480432815, 0.907767221248691, 0.9077702944541004, 0.9077719272942337, 0.907771090492536, 0.9077702536908382, 0.9077694168891406, 0.9077685800874428, 0.9077677432857449, 0.9077669064840473, 0.9077662011621335, 0.9077656686154923, 0.9077651360688515, 0.907763947348462, 0.9077626457388767, 0.9077613441292913, 0.9077600425197059, 0.9077587409101204, 0.907759796404628, 0.9077619781327013, 0.9077650614482422, 0.9077696327825664, 0.9077742041168904, 0.9077787754512145, 0.9077833467855387, 0.9077879181198628, 0.9077924894541869, 0.9077970607885111, 0.9078016321228353, 0.9078062034571593, 0.9078107747914834, 0.9078153461258076, 0.9078199174601317, 0.9078244887944558, 0.90782906012878, 0.9078336314631041, 0.9078381613648587, 0.9078421170342615, 0.9078460727036645, 0.9078500026822536, 0.9078478008673734, 0.907845621285971, 0.9078434805856703, 0.9078413398853695, 0.907839199185069, 0.9078372077931864, 0.9078371242693686, 0.9078370407455509, 0.9078369572217333, 0.9078368736979155, 0.9078367901740978, 0.9078367066502802, 0.9078366231264625, 0.9078365396026448, 0.9078354764850076, 0.9078305631241206, 0.9078256497632335, 0.9078207364023466, 0.9078163615717032, 0.9078134790168589, 0.9078105964620147, 0.9078077139071703, 0.9078048115390835, 0.9078014965604184, 0.9077981815817531, 0.9077948666030877, 0.9077915516244224, 0.9077882452570978, 0.9077859238118522, 0.9077836023666066, 0.907781280921361, 0.9077789594761155, 0.9077766380308699, 0.9077748028728971, 0.9077748589183515, 0.9077746468985882, 0.907773900142943, 0.9077731533872977, 0.9077724066316524, 0.907771659876007, 0.907770913120362, 0.9077701663647166, 0.9077694196090713, 0.9077686728534261, 0.9077679260977809, 0.9077671793421356, 0.9077669584969523, 0.9077668606489041, 0.9077667628008559, 0.9077666649528076, 0.9077665671047592, 0.9077639678076337, 0.9077607950912839, 0.9077576223749343, 0.9077544496585845, 0.9077512769422349, 0.9077495185381435, 0.9077478625747231, 0.9077462066113027, 0.9077445506478823, 0.9077466040524241, 0.9077510275592862, 0.9077554510661481, 0.90775987457301, 0.9077642980798721, 0.9077687215867339, 0.907773145093596, 0.9077775686004579, 0.9077819921073198, 0.9077864156141819, 0.907790785380964, 0.9077932604752382, 0.9077950178880931, 0.9077967753009482, 0.9077985327138032, 0.9078002901266581, 0.9078017932331761, 0.9078026427868657, 0.9078034923405554, 0.9078027222514737, 0.907797760808557, 0.9077931344481257, 0.9077890342983688, 0.9077849341486119, 0.9077808339988551, 0.9077767338490982, 0.9077726336993412, 0.9077685335495844, 0.9077644919400303, 0.9077701270030258, 0.9077763116362658, 0.9077824962695058, 0.907788680902746, 0.9077948655359859, 0.907801050169226, 0.9078072348024661, 0.907813419435706, 0.9078196040689461, 0.9078257887021861, 0.9078322099787501, 0.9078392664169355, 0.9078463228551206, 0.9078533792933059, 0.9078539506952681, 0.9078537964636738, 0.9078536422320795, 0.9078534880004854, 0.907853333768891, 0.9078531795372967, 0.9078530253057024, 0.9078528005687918, 0.9078485216074555, 0.9078450161046769, 0.9078415106018983, 0.9078380050991197, 0.907834499596341, 0.9078309940935623, 0.9078274885907838, 0.907823983088005, 0.9078204775852264, 0.9078169720824478, 0.9078134665796691, 0.907810395980817, 0.9078102734282829, 0.9078120741617853, 0.9078138748952879, 0.9078156756287904, 0.9078174763622928, 0.9078192770957954, 0.9078231339536995, 0.9078210850121358, 0.9078127293539047, 0.9078043736956735, 0.9077960180374423, 0.907787662379211, 0.9077793067209798, 0.9077709510627487, 0.9077625954045174, 0.9077542397462863, 0.9077458840880552, 0.9077375284298239, 0.9077291727715928, 0.9077228383922112, 0.9077179576194225, 0.9077123571585068, 0.907706756697591, 0.9077011562366755, 0.9076955557757598, 0.9076899553148441, 0.9076843548539284, 0.9076787014304054, 0.9076718725091382, 0.907665043587871, 0.907658214666604, 0.9076513857453368, 0.9076471020927424, 0.9076496939983121, 0.9076503954546331, 0.9076469392917015, 0.9076434831287699, 0.9076400269658382, 0.9076365708029066, 0.9076318140289272, 0.9076258919100575, 0.9076199697911878, 0.907614047672318, 0.9076081255534482, 0.9076022034345783, 0.9075962813157086, 0.9075949930999043, 0.9075955823256823, 0.9075965646903663, 0.9075987877499878, 0.9076010108096091, 0.9076032338692306, 0.907586059734798, 0.9075686876528705, 0.907551315570943, 0.9075339434890156, 0.9075165714070883, 0.9074991993251608, 0.9074818272432333, 0.9074644551613058, 0.9074470830793786, 0.9074306563213848, 0.9074167098489906, 0.9074027633765964, 0.9073888169042021, 0.907374870431808, 0.9073615486033475, 0.9073600711891641, 0.9073631761640687, 0.9073662811389736, 0.9073693861138782, 0.907372491088783, 0.90737718442564, 0.9073824618181641, 0.9073877392106882, 0.9073930166032123, 0.9073982939957363, 0.9074018605443945, 0.9074024711296906, 0.9074030817149867, 0.9074036788264004, 0.9074040862496345, 0.9074044936728688, 0.907404901096103, 0.9074055443973608, 0.9074114470145935, 0.9074173496318261, 0.9074232522490587, 0.9074291548662914, 0.9074330695971075, 0.9074367517296542, 0.9074404338622007, 0.9074441159947474, 0.907447798127294, 0.9074514802598408, 0.9074545031469592, 0.9074554118552515, 0.9074563205635438, 0.9074573391072878, 0.9074589586140076, 0.9074605781207274, 0.9074617898084175, 0.9074505883262165, 0.9074393868440156, 0.9074281853618147, 0.9074169838796138, 0.9074057823974127, 0.9073946044908598, 0.9073834703788575, 0.9073723362668551, 0.9073612021548527, 0.9073500680428503, 0.907338933930848, 0.9073277998188456, 0.9073174439019605, 0.9073072186357687, 0.9073081768802376, 0.9073098827013, 0.9073115885223624, 0.9073132943434248, 0.9073150001644872, 0.9073204296591473, 0.9073260246214669, 0.9073316195837864, 0.907337214546106, 0.9073428095084255, 0.9073484044707449, 0.9073539994330646, 0.9073575255968056, 0.907356829410016, 0.9073538022975658, 0.907347579324885, 0.9073413563522041, 0.9073351333795232, 0.9073289104068424, 0.9073226874341613, 0.907322528823231, 0.9073236851786736, 0.9073278857959737, 0.9073344277871643, 0.9073409866236429, 0.9073475454601215, 0.9073541042966, 0.9073606631330786, 0.9073672219695572, 0.9073737808060357, 0.9073803396425144, 0.9073868984789929, 0.9073934573154715, 0.9073990276031001, 0.9074033871800662, 0.9074077467570323, 0.9074111494669644, 0.9074131586714798, 0.9074151678759952, 0.9074171770805104, 0.9074092886432954, 0.9073954905088839, 0.907382673670815, 0.9073701738848303, 0.9073576578270919, 0.907344894788962, 0.907332131750832, 0.9073193687127021, 0.9073066056745722, 0.9072938426364423, 0.9072810795983125, 0.907273566712768, 0.9072758883564757, 0.9072782100001833, 0.907280531643891, 0.9072818151966426, 0.907274897629105, 0.9072679800615673, 0.9072610624940296, 0.907254144926492, 0.9072472273589544, 0.9072403097914166, 0.9072333922238791, 0.9072318041203411, 0.9072337044838077, 0.9072356048472743, 0.9072371444668205, 0.9072386621788131, 0.9072403038683097, 0.9072421081869437, 0.9072438882972439, 0.9072456684075442, 0.9072474485178444, 0.9072492286281446, 0.9072518364871236, 0.9072547939163681, 0.9072577513456126, 0.9072607087748571, 0.9072636662041016, 0.907266623633346, 0.9072695810625906, 0.907272538491835, 0.9072754959210795, 0.9072793161024792, 0.9072874146686554, 0.9072955132348313, 0.9073036118010074, 0.9073117103671835, 0.9073174312961134, 0.9073188528676482, 0.9073202744391832, 0.907321696010718, 0.9073231175822529, 0.9073245391537879, 0.9073259607253228, 0.9073280544247719, 0.9073307516503214, 0.9073334488758709, 0.9073361461014202, 0.9073388433269696, 0.9073415405525191, 0.9073442377780685, 0.907346935003618, 0.9073496322291674, 0.9073523294547168, 0.9073550266802661, 0.90735583409632, 0.9073565470660199, 0.9073572600357198, 0.9073554233850831, 0.9073504507520196, 0.907345478118956, 0.9073405054858926, 0.9073355328528291, 0.9073305602197655, 0.907325587586702, 0.9073206149536385, 0.9073157306840324, 0.9073117917077477, 0.9073078527314629, 0.907303913755178, 0.9073028167924124, 0.9073028561566754, 0.9073028955209381, 0.9073029348852011, 0.9073050961082345, 0.9073080115005717, 0.907310926892909, 0.9073136288966565, 0.9073159923766811, 0.9073183558567057, 0.9073207193367303, 0.9073230828167549, 0.9073254462967795, 0.907327809776804, 0.9073301732568286, 0.9073325367368532, 0.9073349002168778, 0.9073377310434463, 0.9073414673817881, 0.9073452037201304, 0.9073489400584724, 0.9073543812646336, 0.907362594527158, 0.9073708077896823, 0.9073790210522066, 0.9073872343147309, 0.9073954475772553, 0.9074016538821839, 0.9074062795359508, 0.9074098788699241, 0.9074134782038974, 0.9074170775378707, 0.907420676871844, 0.9074242762058173, 0.9074278755397907, 0.907431474873764, 0.9074350742077374, 0.9074386735417106, 0.907442272875684, 0.9074458722096572, 0.9074494715436306, 0.907453070877604, 0.9074566702115772, 0.9074604926281487, 0.9074648120368496, 0.9074674956144476, 0.9074701791920456, 0.9074728627696438, 0.9074755463472417, 0.9074782299248398, 0.9074809135024379, 0.9074835970800359, 0.907486280657634, 0.9074889642352321, 0.9074916478128301, 0.9074889191701727, 0.9074852254134971, 0.9074815316568214, 0.9074780082770726, 0.9074750427526539, 0.9074720772282352, 0.9074697497907945, 0.907473543583512, 0.9074773373762293, 0.9074811311689466, 0.9074849249616639, 0.9074887187543812, 0.9074925125470986, 0.907496306339816, 0.9074998792505083, 0.9075033688589647, 0.9075068584674209, 0.907510348075877, 0.9075138376843335, 0.9075137280967629, 0.9075095366629511, 0.9075053452291395, 0.9075011537953277, 0.9074969623615159, 0.9074927709277043, 0.9074885794938925, 0.9074843880600808, 0.9074847912977084, 0.9074852800422237, 0.9074823072222672, 0.9074793344023107, 0.9074763615823541, 0.9074733887623976, 0.9074704159424409, 0.9074674431224844, 0.9074644703025279, 0.9074614510194878, 0.9074584305682871, 0.9074554101170864, 0.9074523896658857, 0.9074495727505547, 0.9074472581483186, 0.9074449435460826, 0.9074426289438466, 0.9074403143416105, 0.9074379997393744, 0.9074356851371383, 0.9074333705349023, 0.9074310559326662, 0.9074300764823793, 0.9074318111869949, 0.9074335458916105, 0.9074366737652582, 0.9074414011785276, 0.907446128591797, 0.9074508560050663, 0.9074555834183358, 0.907460310831605, 0.9074650382448745, 0.9074697656581439, 0.9074744930714131, 0.9074792204846825, 0.907483947897952, 0.9074886719646956, 0.9074825517049419, 0.9074760297618868, 0.9074703253816132, 0.9074681418768249, 0.9074714856533612, 0.9074748294298978, 0.9074781732064341, 0.9074815169829705, 0.907484860759507, 0.9074882045360433, 0.9074910929964537, 0.9074937467489175, 0.9074964005013813, 0.9075007674859458, 0.9075052793357201, 0.9075100166748864, 0.9075150381344086, 0.9075202634792137, 0.9075255286210631, 0.9075307937629122, 0.9075360589047614, 0.9075383429444708, 0.9075394960488863, 0.9075406491533017, 0.9075418022577171, 0.9075429553621326, 0.907543080138828, 0.9075430464620584, 0.9075411398786337, 0.9075358142145149, 0.9075305273901297, 0.9075252405657444, 0.907519953741359, 0.9075146669169736, 0.9075128859823386, 0.907513520911863, 0.9075141558413875, 0.9075147907709119, 0.9075154257004364, 0.9075147000996867, 0.907511038093556, 0.9075073760874255, 0.9075037140812948, 0.9075000520751642, 0.9074967170286758, 0.9074931859952876, 0.9074886503273933, 0.9074841146594992, 0.907479578991605, 0.9074750433237108, 0.9074705076558165, 0.9074659719879223, 0.9074614363200282, 0.9074569006521338, 0.9074557921694393, 0.9074554435348141, 0.9074510519579274, 0.9074441079972829, 0.9074371640366384, 0.907430220075994, 0.9074232761153496, 0.9074001385045545, 0.9073658248846979, 0.9073315112648415, 0.907296950804301, 0.9072610080183061, 0.9072343329022108, 0.9072209611916867, 0.9072075894811626, 0.9071942177706387, 0.907180918887275, 0.9071676859478277, 0.9071544530083804, 0.9071523036476054, 0.9071524851373891, 0.9071526666271728, 0.9071528481169566, 0.9071530296067403, 0.9071532110965241, 0.9071541849187611, 0.9071556688763899, 0.9071569428182973, 0.907156856225642, 0.9071567696329867, 0.9071566830403315, 0.9071565964476762, 0.9071563352056946, 0.9071529084296217, 0.9071494816535488, 0.9071460548774758, 0.9071426281014028, 0.9071406149157606, 0.907139232101164, 0.9071378492865676, 0.9071364664719711, 0.907136092163431, 0.9071378771108471, 0.9071396620582632, 0.9071414439430275, 0.9071388415886559, 0.9071362392342841, 0.9071336368799123, 0.9071299811184892, 0.9071231155783835, 0.9071162500382779, 0.9071093844981721, 0.9071025189580665, 0.9070956534179608, 0.9070887878778551, 0.9070819223377494, 0.9070802699225691, 0.9070808676733482, 0.907081465424127, 0.9070820631749061, 0.907082660925685, 0.9070838729795364, 0.9070861218066069, 0.9070883706336772, 0.9070906194607476, 0.907092868287818, 0.907096259319618, 0.9071000533657853, 0.9071038474119526, 0.9071069489936883, 0.9071016199254271, 0.9070962908571663, 0.9070909617889051, 0.907085632720644, 0.9070803036523829, 0.9070749745841219, 0.907067987901351, 0.9070609804779742, 0.9070608949600488, 0.9070612422986316, 0.9070615896372144, 0.9070619369757971, 0.9070622843143799, 0.9070646010952828, 0.907067581017482, 0.9070693379124034, 0.9070710170908993, 0.9070726962693951, 0.907074375447891, 0.907076054626387, 0.9070774986040914, 0.9070777437489184, 0.9070798253331483, 0.9070825602152975, 0.9070852950974466, 0.9070880299795957, 0.9070907648617449, 0.907093499743894, 0.9070962346260432, 0.9070989695081924, 0.9070989999114638, 0.9070993396712754, 0.9071002021210153, 0.9071010645707551, 0.9071019270204949, 0.9071027894702346, 0.9071036519199744, 0.9071045143697143, 0.9071053768194541, 0.9071062392691938, 0.9071071017189336, 0.9071079641686735, 0.9071049633805484, 0.9071034065782531, 0.9071018743317628, 0.9071003420852726, 0.9070988098387824, 0.9070972775922921, 0.907095745345802, 0.9070944323968776, 0.9070931281368828, 0.9070917868465437, 0.9070904455562045, 0.9070891042658653, 0.9070877629755261, 0.9070864216851869, 0.9070812581580424, 0.907074064746494, 0.9070668713349457, 0.9070587389540802, 0.9070500565122802, 0.9070413740704804, 0.9070326916286804, 0.9070240091868804, 0.9070197285197996, 0.9070163434183237, 0.9070129583168478, 0.9070192948743896, 0.9070257457766081, 0.9070321966788266, 0.907038647581045, 0.9070450984832634, 0.9070515493854818, 0.9070580002877002, 0.9070600088947841, 0.9070606973539537, 0.9070613858131231, 0.9070531660899477, 0.9070449238079801, 0.9070366815260125, 0.9070284392440449, 0.9070201969620774, 0.9070160384726338, 0.9070136465889289, 0.9070143238312217, 0.9070182191045615, 0.9070221143779011, 0.9070260096512408, 0.9070299049245805, 0.9070338001979201, 0.9070376954712598, 0.9070415907445996, 0.9070454860179392, 0.9070493812912789, 0.9070497726487149, 0.9070493264626011, 0.9070492592887139, 0.9070497629923154, 0.9070502666959168, 0.9070507703995181, 0.9070512741031196, 0.9070517778067209, 0.9070522815103222, 0.9070350217488427, 0.9070157457405584, 0.9069964697322742, 0.9069773105104735, 0.9069755210537578, 0.906973731597042, 0.9069719421403263, 0.9069701526836105, 0.9069627661141069, 0.9069551304579686, 0.9069432343709425, 0.9069250571179144, 0.906906879864886, 0.9068890872749307, 0.9068828563563369, 0.9068771734510093, 0.9068714905456814, 0.9068658076403535, 0.9068601247350256, 0.9068544418296978, 0.9068487589243699, 0.9068430760190421, 0.9068372145954221, 0.9068310141434921, 0.906824813691562, 0.9068197209391358, 0.9068149630315219, 0.906810205123908, 0.9068054472162941, 0.9068006893086802, 0.9067966382628858, 0.9067938211607112, 0.9067910040585365, 0.9067614830891673, 0.9067187760552282, 0.9066760690212894, 0.9066617272446764, 0.9066586504636653, 0.9066518589573225, 0.9066439958692286, 0.9066361327811348, 0.906628269693041, 0.9066204066049471, 0.9066125435168533, 0.9066046804287594, 0.9065968173406656, 0.9065735632277028, 0.9065450264916768, 0.9065304885639817, 0.9065239639186331, 0.9065174392732845, 0.9065109146279358, 0.9065043899825873, 0.9065028988869498, 0.9065027601762679, 0.906502621465586, 0.9065024827549042, 0.9065023440442224, 0.9065015133945451, 0.9064930266991729, 0.9064842285346537, 0.9064750282882728, 0.9064658280418919, 0.9064566277955111, 0.9064474275491303, 0.9064369785049665, 0.9064263415799361, 0.9064157046549057, 0.9064065626831496, 0.9063990978355587, 0.9063930357924649, 0.9063884654587451, 0.9063838951250252, 0.9063793399341433, 0.9063788310521856, 0.9063783221702282, 0.9063778132882705, 0.9063773044063128, 0.9063767955243552, 0.9063784310796617, 0.906380704461845, 0.9063829778440287, 0.9063852512262122, 0.9063875246083957, 0.9063873684305617, 0.9063862012902095, 0.9063850341498573, 0.906383867009505, 0.9063783373727767, 0.9063694171722607, 0.906358606289643, 0.9063477954070253, 0.9063369845244076, 0.9063261736417898, 0.9063153627591722, 0.9063045518765545, 0.9062944617216272, 0.9062886247240921, 0.9062827877265569, 0.9062769507290218, 0.9062746161527473, 0.9062734288971193, 0.9062722416414912, 0.9062683234358511, 0.906258062876198, 0.906247802316545, 0.9062430298823034, 0.9062411905159238, 0.906236727983609, 0.90623378910534, 0.9062349548655372, 0.9062338330504054, 0.9062319936840257, 0.9062301543176461, 0.9062283149512665, 0.9062127594676297, 0.9061962916762643, 0.9061798238848988, 0.9061655507170442, 0.9061615780800549, 0.9061547100332192, 0.9061473156079103, 0.9061401675864124, 0.9061395614280487, 0.906138955269685, 0.9061387710084936, 0.9061390494042421, 0.9061393277999905, 0.9061391522348309, 0.9061385906844729, 0.9061380291341149, 0.9061370600197672, 0.9061306725869547, 0.906126183215435, 0.9061216938439152, 0.9061172044723955, 0.9061127151008759, 0.906108225729356, 0.9061037363578364, 0.9060992469863166, 0.9060953397762153, 0.9060956359482362, 0.9060961079206058, 0.9060965798929755, 0.9060970518653453, 0.9060975238377149, 0.9060979958100845, 0.9060984677824542, 0.9060989397548238, 0.9060994117271935, 0.9060998836995633, 0.9061003556719329, 0.9061008276443026, 0.9061012996166722, 0.9061017775649598, 0.9061023243742294, 0.9061028711834991, 0.9061034179927687, 0.9061039648020384, 0.9061035529002157, 0.9061003244343819, 0.9060970959685484, 0.9060938675027146, 0.9060906390368808, 0.906087410571047, 0.9060841821052134, 0.906079245028612, 0.9060737944390176, 0.9060683438494233, 0.9060635216709502, 0.9060590474655709, 0.9060545732601917, 0.9060500990548124, 0.9060456248494332, 0.906041150644054, 0.9060372233617575, 0.9060352472589273, 0.906033271156097, 0.9060292966861943, 0.9060123917609055, 0.9059954868356169, 0.9059852307335772, 0.9059773047989301, 0.9059693788642831, 0.9059607161972925, 0.9059490782104425, 0.9059374402235925, 0.9059258022367425, 0.9059092793552683, 0.9058913606820282, 0.905876346965629, 0.9058624756923522, 0.905856313381916, 0.9058506372658164, 0.9058449611497168, 0.9058392850336172, 0.9058336089175176, 0.905827932801418, 0.9058226096045976, 0.9058180491133625, 0.905812701322296, 0.9058008081497724, 0.9057889149772487, 0.905777021804725, 0.9057651286322013, 0.9057554665776094, 0.9057473573989869, 0.9057392482203643, 0.9057371487870793, 0.905738242625874, 0.9057393364646686, 0.9057411003264769, 0.9057444473543342, 0.9057485475601248, 0.9057526477659151, 0.9057567479717057, 0.9057608481774961, 0.9057649483832866, 0.9057710948512945, 0.9057770384285685, 0.905782825629477, 0.9057886128303856, 0.9057915116986417, 0.9057891823284252, 0.9057868529582085, 0.9057845242301165, 0.905782196936004, 0.9057792825059761, 0.9057729828156096, 0.9057666831252429, 0.9057569587939507, 0.9057409738391722, 0.9057284321106127, 0.9057158903820532, 0.905703530887781, 0.905691184702264, 0.9056788385167467, 0.9056670183803677, 0.9056555562442539, 0.9056446916110763, 0.9056460629341423, 0.9056474342572084, 0.9056488055802744, 0.9056501769033405, 0.9056503019482717, 0.9056493176515964, 0.9056419748058936, 0.9056334133037316, 0.9056302897981912, 0.9056223831144385, 0.9056141305392686, 0.9056051823461094, 0.9055699364512735, 0.9055236313738563, 0.9054773262964393, 0.9054310212190222, 0.9053847161416051, 0.9053654110837528, 0.9053592835692541, 0.9053536099439532, 0.9053473214692191, 0.9053371541939583, 0.9053263857948959, 0.9053128434276316, 0.9052993010603674, 0.9052857586931032, 0.9052722163258391, 0.905261584589212, 0.9052510947549641, 0.905240604920716, 0.9052278713823712, 0.9052130824565758, 0.9051982935307805, 0.9051835046049852, 0.9051687156791899, 0.9051539267533946, 0.9051429361942711, 0.9051345959824396, 0.9051275175557785, 0.9051157200392321, 0.9051039225226858, 0.9050921250061394, 0.9050803274895931, 0.9050678144171483, 0.9050558879864987, 0.905055384409514, 0.905035778662844, 0.905008599624706, 0.9049804614730999, 0.9049679360794431, 0.9049655705305513, 0.9049524451981711, 0.9049241635970819, 0.9048964636129319, 0.9048911785449884, 0.9048911965580263, 0.9048596796625163, 0.9048298689058349, 0.9048039373297441, 0.9047907781077436, 0.9047756300694161, 0.9047356824324058, 0.904707482718766, 0.9047053574408292, 0.9047087678998278, 0.9047140368526413, 0.9047106584391214, 0.9046998864250566, 0.9046890599938586, 0.9046789246569042, 0.9046778629871832, 0.9046760065139454, 0.904673650490037, 0.9046740589881161, 0.904660432222189, 0.9046392459420096, 0.9046145948790183, 0.9045807870986537, 0.9045511489402431, 0.9045455001164668, 0.904547744178698, 0.9045382230099168, 0.9045383192762393, 0.9045367269976268, 0.9045276009081196, 0.90451266274558, 0.9044977245830403, 0.904454756033805, 0.9043962998245303, 0.9043741260950022, 0.9043491154862432, 0.9043363090734113, 0.9043277097074314, 0.9043166807323323, 0.9042611471299602, 0.9042331582301599, 0.9042284146664876, 0.9042227421861243, 0.9041956101788289, 0.9041742177032324, 0.9041564594163516, 0.9041377056181759, 0.9040974091627885, 0.9040607922978094, 0.9040264338497084, 0.904013716116425, 0.9039814767046733, 0.9039492508686642, 0.9039371602236048, 0.90393396639509, 0.9039155650938422, 0.903897122755259, 0.9038620793860325, 0.9038052357725759, 0.9037414916725337, 0.903717299814011, 0.9037201217599816, 0.9037216176817144, 0.9037207105027012, 0.9037081573130017, 0.9036953656401772, 0.9036793098778912, 0.9036601388022178, 0.9036540135437361, 0.9036590858752547, 0.9036600921306668, 0.9036614476219191, 0.9036650360830087, 0.9036686506419055, 0.9036682954501271, 0.9036590932889981, 0.9036502722459672, 0.9036429194238946, 0.903635602544335, 0.9036275976893264, 0.9035872750757808, 0.9035669477474786, 0.9035546813405988, 0.9035337639293077, 0.9035080949330793, 0.9034659571386346, 0.9034319580204957, 0.9034036362537314, 0.9033868319536611, 0.9033831547826596, 0.9033794776116579, 0.9033809704317156, 0.9033667925390354, 0.9033138861550438, 0.9032738467542949, 0.9032711738572656, 0.9032509993214046, 0.9032032951933614, 0.9031908709222796, 0.9031777403292633, 0.9031656076565894, 0.9031560611930628, 0.9031534432197612, 0.9031522191570958, 0.9031529555051101, 0.9031556794473635, 0.9031568810931883, 0.9031510012171982, 0.903142045918077, 0.9031472154869691, 0.9031522185844126, 0.9031546374193702, 0.9031565155438716, 0.9031534942312578, 0.9031481560378278, 0.9031224225675754, 0.9031041258780771, 0.9030941957656095, 0.9030871699290284, 0.9030838915239322, 0.9030807891334003, 0.9030724765149108, 0.9030540373956158, 0.9030155245306133, 0.902995455561973, 0.9029720466822113, 0.9029486495548014, 0.9029221479191705, 0.9029108899499029, 0.9029032491241404, 0.902899489484891, 0.9028955983108637, 0.9028802640697531, 0.9028582668320528, 0.9028268231582428, 0.9027975755528065, 0.9027793431019546, 0.9027696416932443, 0.9027562490543493, 0.9027398049162884, 0.9027060852388356, 0.9026750380151486, 0.9026503500408611, 0.9026321899229732, 0.9026232355302214, 0.902612937564186, 0.9026030859743588, 0.9025858104568254, 0.9025665614382992, 0.9025484849909704, 0.9025287836433751, 0.9025079033406844, 0.9024824001931746, 0.9024557214723969, 0.9024267935421004, 0.9024049415082988, 0.9023848717823639, 0.9023485888063305, 0.9023464228325908, 0.9023230482596776, 0.9022915739305668, 0.9022755131162687, 0.9022414119942542, 0.9021851028337504, 0.9021169573584666, 0.9020631875580247, 0.9020310074579885, 0.9019967810034311, 0.9019417093491447, 0.9019083303145543, 0.9019054911065418, 0.9018940598111214, 0.9018625850137529, 0.9018241108563445, 0.9017889136094113, 0.901753716362478, 0.901719727593576, 0.9016867663710655, 0.9016097968032134, 0.9015152674010467, 0.9014432724311998, 0.901418803613023, 0.9013924299722456, 0.9013378676302177, 0.9012650396970379, 0.9011881355184328, 0.9011234984506001, 0.9011082451811432, 0.9010841132614833, 0.9010435541534583, 0.9009950035368854, 0.9009492910551561, 0.9009003873577198, 0.9008686834929271, 0.9008356727042361, 0.9007953274472441, 0.9007058679773393, 0.900619279982364, 0.9005558225362875, 0.9005076066446434, 0.900455290877676, 0.9004114983227312, 0.9003874007568116, 0.9003637756074742, 0.9003284654939356, 0.9003091589284387, 0.9002954931547382, 0.9002860207412913, 0.9002650297144017, 0.9002074944602168, 0.9001407743024986, 0.9000958015905736, 0.9000838449993736, 0.8999886466588924, 0.8999272142296973, 0.8998739235406721, 0.899799683877426, 0.8997394943600716, 0.8996125391685532, 0.8994837778564357, 0.8993911256086959, 0.8993409534581155, 0.8992953426822092, 0.8992426749974157, 0.8991841429624612, 0.899160268225841, 0.8991365305991703, 0.8990404775049585, 0.8988784513262191, 0.8987420505627884, 0.8986336363336842, 0.8985497814432027, 0.8984500735274361, 0.8983144914373202, 0.8982032551131622, 0.8981407611741645, 0.8980542814693006, 0.8979436558675145, 0.8977628770219186, 0.897636489295336, 0.8975161549838209, 0.89743562892269, 0.8973205651489824, 0.8972769960828777, 0.8970534508019727, 0.8971343181761817, 0.8971090589054089, 0.8970853537573137, 0.8971248368704713, 0.8970887941316519, 0.8970942484125801, 0.8970814119459387, 0.8971323452037485, 0.8970730307952178, 0.8970573846097356, 0.8970736809576161, 0.8969919591236062, 0.8970055618496062, 0.8970359731441191, 0.8969573159411155, 0.8968428349763908, 0.8966958050237475, 0.8966058447478118, 0.8965652331129392, 0.8964829880395802, 0.8964331323423702, 0.8962390526140835, 0.8959536164209823, 0.8957228932338392, 0.8952491619497325, 0.8949127144030329, 0.8946475942382737, 0.8941804073464303, 0.8934145957114701, 0.8926138683278536, 0.8919566925548346, 0.8914472838225891, 0.8907599189168547, 0.8898047018170396, 0.8889019330640121, 0.8878696740441985, 0.8869838744357152, 0.8858652183136337, 0.884857051466448, 0.8839198649546454, 0.8826454753284148, 0.8813305347457218, 0.879743304030068, 0.8785151780935808, 0.8775707244548858, 0.8773726976630862, 0.8774189601605964, 0.877338690159792, 0.8733565302082538, 0.8733246963755925, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}, {\\\"fill\\\": \\\"tonexty\\\", \\\"fillcolor\\\": \\\"rgba(125, 0, 255, 0.2)\\\", \\\"hoverinfo\\\": \\\"skip\\\", \\\"line\\\": {\\\"color\\\": \\\"rgba(125, 0, 255, 1)\\\", \\\"width\\\": 0.0}, \\\"name\\\": \\\"Blast\\\", \\\"showlegend\\\": false, \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.5, 0.5001, 0.5002, 0.5003, 0.5004, 0.5005, 0.5006, 0.5007, 0.5008, 0.5009, 0.501, 0.5011, 0.5012, 0.5013, 0.5014, 0.5015, 0.5016, 0.5017, 0.5018, 0.5019, 0.502, 0.5021, 0.5022, 0.5023, 0.5024, 0.5025, 0.5026, 0.5027, 0.5028, 0.5029, 0.503, 0.5031, 0.5032, 0.5033, 0.5034, 0.5035, 0.5036, 0.5037, 0.5038, 0.5039, 0.504, 0.5041, 0.5042, 0.5043, 0.5044, 0.5045, 0.5046, 0.5047, 0.5048, 0.5049, 0.505, 0.5051, 0.5052, 0.5053, 0.5054, 0.5055, 0.5056, 0.5057, 0.5058, 0.5059, 0.506, 0.5061, 0.5062, 0.5063, 0.5064, 0.5065, 0.5066, 0.5067, 0.5068, 0.5069, 0.507, 0.5071, 0.5072, 0.5073, 0.5074, 0.5075, 0.5076, 0.5077, 0.5078, 0.5079, 0.508, 0.5081, 0.5082, 0.5083, 0.5084, 0.5085, 0.5086, 0.5087, 0.5088, 0.5089, 0.509, 0.5091, 0.5092, 0.5093, 0.5094, 0.5095, 0.5096, 0.5097, 0.5098, 0.5099, 0.51, 0.5101, 0.5102, 0.5103, 0.5104, 0.5105, 0.5106, 0.5107, 0.5108, 0.5109, 0.511, 0.5111, 0.5112, 0.5113, 0.5114, 0.5115, 0.5116, 0.5117, 0.5118, 0.5119, 0.512, 0.5121, 0.5122, 0.5123, 0.5124, 0.5125, 0.5126, 0.5127, 0.5128, 0.5129, 0.513, 0.5131, 0.5132, 0.5133, 0.5134, 0.5135, 0.5136000000000001, 0.5137, 0.5138, 0.5139, 0.514, 0.5141, 0.5142, 0.5143, 0.5144, 0.5145, 0.5146, 0.5147, 0.5148, 0.5149, 0.515, 0.5151, 0.5152, 0.5153, 0.5154, 0.5155, 0.5156, 0.5157, 0.5158, 0.5159, 0.516, 0.5161, 0.5162, 0.5163, 0.5164, 0.5165, 0.5166, 0.5167, 0.5168, 0.5169, 0.517, 0.5171, 0.5172, 0.5173, 0.5174, 0.5175, 0.5176, 0.5177, 0.5178, 0.5179, 0.518, 0.5181, 0.5182, 0.5183, 0.5184, 0.5185, 0.5186, 0.5187, 0.5188, 0.5189, 0.519, 0.5191, 0.5192, 0.5193, 0.5194, 0.5195, 0.5196, 0.5197, 0.5198, 0.5199, 0.52, 0.5201, 0.5202, 0.5203, 0.5204, 0.5205, 0.5206, 0.5207, 0.5208, 0.5209, 0.521, 0.5211, 0.5212, 0.5213, 0.5214, 0.5215, 0.5216, 0.5217, 0.5218, 0.5219, 0.522, 0.5221, 0.5222, 0.5223, 0.5224, 0.5225, 0.5226, 0.5227, 0.5228, 0.5229, 0.523, 0.5231, 0.5232, 0.5233, 0.5234, 0.5235, 0.5236, 0.5237, 0.5238, 0.5239, 0.524, 0.5241, 0.5242, 0.5243, 0.5244, 0.5245, 0.5246, 0.5246999999999999, 0.5248, 0.5249, 0.525, 0.5251, 0.5252, 0.5253, 0.5254, 0.5255, 0.5256, 0.5257000000000001, 0.5258, 0.5259, 0.526, 0.5261, 0.5262, 0.5263, 0.5264, 0.5265, 0.5266, 0.5267, 0.5268, 0.5269, 0.527, 0.5271, 0.5272, 0.5273, 0.5274, 0.5275, 0.5276, 0.5277000000000001, 0.5278, 0.5279, 0.528, 0.5281, 0.5282, 0.5283, 0.5284, 0.5285, 0.5286, 0.5287, 0.5288, 0.5289, 0.529, 0.5291, 0.5292, 0.5293, 0.5294, 0.5295, 0.5296, 0.5297, 0.5298, 0.5299, 0.53, 0.5301, 0.5302, 0.5303, 0.5304, 0.5305, 0.5306, 0.5307, 0.5308, 0.5309, 0.531, 0.5311, 0.5312, 0.5313, 0.5314, 0.5315, 0.5316, 0.5317, 0.5318, 0.5319, 0.532, 0.5321, 0.5322, 0.5323, 0.5324, 0.5325, 0.5326, 0.5327, 0.5328, 0.5329, 0.533, 0.5331, 0.5332, 0.5333, 0.5334, 0.5335, 0.5336, 0.5337, 0.5338, 0.5339, 0.534, 0.5341, 0.5342, 0.5343, 0.5344, 0.5345, 0.5346, 0.5347, 0.5348, 0.5349, 0.535, 0.5351, 0.5352, 0.5353, 0.5354, 0.5355, 0.5356, 0.5357, 0.5358, 0.5359, 0.536, 0.5361, 0.5362, 0.5363, 0.5364, 0.5365, 0.5366, 0.5367, 0.5367999999999999, 0.5369, 0.537, 0.5371, 0.5372, 0.5373, 0.5374, 0.5375, 0.5376, 0.5377, 0.5378000000000001, 0.5379, 0.538, 0.5381, 0.5382, 0.5383, 0.5384, 0.5385, 0.5386, 0.5387, 0.5388, 0.5389, 0.539, 0.5391, 0.5392, 0.5393, 0.5394, 0.5395, 0.5396, 0.5397, 0.5398000000000001, 0.5399, 0.54, 0.5401, 0.5402, 0.5403, 0.5404, 0.5405, 0.5406, 0.5407, 0.5408, 0.5409, 0.541, 0.5411, 0.5412, 0.5413, 0.5414, 0.5415, 0.5416, 0.5417, 0.5418000000000001, 0.5419, 0.542, 0.5421, 0.5422, 0.5423, 0.5424, 0.5425, 0.5426, 0.5427, 0.5428, 0.5429, 0.543, 0.5431, 0.5432, 0.5433, 0.5434, 0.5435, 0.5436, 0.5437, 0.5438, 0.5439, 0.544, 0.5441, 0.5442, 0.5443, 0.5444, 0.5445, 0.5446, 0.5447, 0.5448, 0.5449, 0.545, 0.5451, 0.5452, 0.5453, 0.5454, 0.5455, 0.5456, 0.5457, 0.5458, 0.5459, 0.546, 0.5461, 0.5462, 0.5463, 0.5464, 0.5465, 0.5466, 0.5467, 0.5468, 0.5469, 0.547, 0.5471, 0.5472, 0.5473, 0.5474, 0.5475, 0.5476, 0.5477, 0.5478, 0.5479, 0.548, 0.5481, 0.5482, 0.5483, 0.5484, 0.5485, 0.5486, 0.5487, 0.5488, 0.5488999999999999, 0.549, 0.5491, 0.5492, 0.5493, 0.5494, 0.5495, 0.5496, 0.5497, 0.5498, 0.5499, 0.55, 0.5501, 0.5502, 0.5503, 0.5504, 0.5505, 0.5506, 0.5507, 0.5508, 0.5509, 0.551, 0.5511, 0.5512, 0.5513, 0.5514, 0.5515, 0.5516, 0.5517, 0.5518, 0.5519000000000001, 0.552, 0.5521, 0.5522, 0.5523, 0.5524, 0.5525, 0.5526, 0.5527, 0.5528, 0.5529, 0.553, 0.5531, 0.5532, 0.5533, 0.5534, 0.5535, 0.5536, 0.5537, 0.5538, 0.5539000000000001, 0.554, 0.5541, 0.5542, 0.5543, 0.5544, 0.5545, 0.5546, 0.5547, 0.5548, 0.5549, 0.555, 0.5551, 0.5552, 0.5553, 0.5554, 0.5555, 0.5556, 0.5557, 0.5558, 0.5559000000000001, 0.556, 0.5561, 0.5562, 0.5563, 0.5564, 0.5565, 0.5566, 0.5567, 0.5568, 0.5569, 0.557, 0.5571, 0.5572, 0.5573, 0.5574, 0.5575, 0.5576, 0.5577, 0.5578, 0.5579, 0.558, 0.5581, 0.5582, 0.5583, 0.5584, 0.5585, 0.5586, 0.5587, 0.5588, 0.5589, 0.559, 0.5591, 0.5592, 0.5593, 0.5594, 0.5595, 0.5596, 0.5597, 0.5598, 0.5599, 0.56, 0.5601, 0.5602, 0.5603, 0.5604, 0.5605, 0.5606, 0.5607, 0.5608, 0.5609, 0.561, 0.5611, 0.5612, 0.5613, 0.5614, 0.5615, 0.5616, 0.5617, 0.5618, 0.5619, 0.562, 0.5621, 0.5622, 0.5623, 0.5624, 0.5625, 0.5626, 0.5627, 0.5628, 0.5629, 0.563, 0.5631, 0.5632, 0.5633, 0.5634, 0.5635, 0.5636, 0.5637, 0.5638, 0.5639, 0.5640000000000001, 0.5641, 0.5642, 0.5643, 0.5644, 0.5645, 0.5646, 0.5647, 0.5648, 0.5649, 0.565, 0.5651, 0.5652, 0.5653, 0.5654, 0.5655, 0.5656, 0.5657, 0.5658, 0.5659, 0.5660000000000001, 0.5661, 0.5662, 0.5663, 0.5664, 0.5665, 0.5666, 0.5667, 0.5668, 0.5669, 0.567, 0.5671, 0.5672, 0.5673, 0.5674, 0.5675, 0.5676, 0.5677, 0.5678, 0.5679, 0.5680000000000001, 0.5681, 0.5682, 0.5683, 0.5684, 0.5685, 0.5686, 0.5687, 0.5688, 0.5689, 0.569, 0.5691, 0.5692, 0.5693, 0.5694, 0.5695, 0.5696, 0.5697, 0.5698, 0.5699, 0.5700000000000001, 0.5701, 0.5702, 0.5703, 0.5704, 0.5705, 0.5706, 0.5707, 0.5708, 0.5709, 0.571, 0.5710999999999999, 0.5712, 0.5713, 0.5714, 0.5715, 0.5716, 0.5717, 0.5718, 0.5719, 0.5720000000000001, 0.5721, 0.5722, 0.5723, 0.5724, 0.5725, 0.5726, 0.5727, 0.5728, 0.5729, 0.573, 0.5730999999999999, 0.5732, 0.5733, 0.5734, 0.5735, 0.5736, 0.5737, 0.5738, 0.5739, 0.5740000000000001, 0.5741, 0.5742, 0.5743, 0.5744, 0.5745, 0.5746, 0.5747, 0.5748, 0.5749, 0.575, 0.5751, 0.5752, 0.5753, 0.5754, 0.5755, 0.5756, 0.5757, 0.5758, 0.5759, 0.576, 0.5761000000000001, 0.5762, 0.5763, 0.5764, 0.5765, 0.5766, 0.5767, 0.5768, 0.5769, 0.577, 0.5771, 0.5772, 0.5773, 0.5774, 0.5775, 0.5776, 0.5777, 0.5778, 0.5779, 0.578, 0.5781000000000001, 0.5782, 0.5783, 0.5784, 0.5785, 0.5786, 0.5787, 0.5788, 0.5789, 0.579, 0.5791, 0.5792, 0.5793, 0.5794, 0.5795, 0.5796, 0.5797, 0.5798, 0.5799, 0.58, 0.5801000000000001, 0.5802, 0.5803, 0.5804, 0.5805, 0.5806, 0.5807, 0.5808, 0.5809, 0.581, 0.5811, 0.5812, 0.5813, 0.5814, 0.5815, 0.5816, 0.5817, 0.5818, 0.5819, 0.582, 0.5821000000000001, 0.5822, 0.5823, 0.5824, 0.5825, 0.5826, 0.5827, 0.5828, 0.5829, 0.583, 0.5831, 0.5832, 0.5833, 0.5834, 0.5835, 0.5836, 0.5837, 0.5838, 0.5839, 0.584, 0.5841000000000001, 0.5842, 0.5843, 0.5844, 0.5845, 0.5846, 0.5847, 0.5848, 0.5849, 0.585, 0.5851, 0.5851999999999999, 0.5853, 0.5854, 0.5855, 0.5856, 0.5857, 0.5858, 0.5859, 0.586, 0.5861000000000001, 0.5862, 0.5863, 0.5864, 0.5865, 0.5866, 0.5867, 0.5868, 0.5869, 0.587, 0.5871, 0.5871999999999999, 0.5873, 0.5874, 0.5875, 0.5876, 0.5877, 0.5878, 0.5879, 0.588, 0.5881, 0.5882000000000001, 0.5883, 0.5884, 0.5885, 0.5886, 0.5887, 0.5888, 0.5889, 0.589, 0.5891, 0.5892, 0.5893, 0.5894, 0.5895, 0.5896, 0.5897, 0.5898, 0.5899, 0.59, 0.5901, 0.5902000000000001, 0.5903, 0.5904, 0.5905, 0.5906, 0.5907, 0.5908, 0.5909, 0.591, 0.5911, 0.5912, 0.5913, 0.5914, 0.5915, 0.5916, 0.5917, 0.5918, 0.5919, 0.592, 0.5921, 0.5922000000000001, 0.5923, 0.5924, 0.5925, 0.5926, 0.5927, 0.5928, 0.5929, 0.593, 0.5931, 0.5932, 0.5933, 0.5934, 0.5935, 0.5936, 0.5937, 0.5938, 0.5939, 0.594, 0.5941, 0.5942000000000001, 0.5943, 0.5944, 0.5945, 0.5946, 0.5947, 0.5948, 0.5949, 0.595, 0.5951, 0.5952, 0.5953, 0.5954, 0.5955, 0.5956, 0.5957, 0.5958, 0.5959, 0.596, 0.5961, 0.5962000000000001, 0.5963, 0.5964, 0.5965, 0.5966, 0.5967, 0.5968, 0.5969, 0.597, 0.5971, 0.5972, 0.5973, 0.5974, 0.5975, 0.5976, 0.5977, 0.5978, 0.5979, 0.598, 0.5981, 0.5982000000000001, 0.5983, 0.5984, 0.5985, 0.5986, 0.5987, 0.5988, 0.5989, 0.599, 0.5991, 0.5992, 0.5992999999999999, 0.5994, 0.5995, 0.5996, 0.5997, 0.5998, 0.5999, 0.6, 0.6001, 0.6002000000000001, 0.6003000000000001, 0.6004, 0.6005, 0.6006, 0.6007, 0.6008, 0.6009, 0.601, 0.6011, 0.6012, 0.6013, 0.6014, 0.6015, 0.6016, 0.6017, 0.6018, 0.6019, 0.602, 0.6021, 0.6022, 0.6023000000000001, 0.6024, 0.6025, 0.6026, 0.6027, 0.6028, 0.6029, 0.603, 0.6031, 0.6032, 0.6033, 0.6034, 0.6035, 0.6036, 0.6037, 0.6038, 0.6039, 0.604, 0.6041, 0.6042, 0.6043000000000001, 0.6044, 0.6045, 0.6046, 0.6047, 0.6048, 0.6049, 0.605, 0.6051, 0.6052, 0.6053, 0.6054, 0.6055, 0.6056, 0.6057, 0.6058, 0.6059, 0.606, 0.6061, 0.6062, 0.6063000000000001, 0.6064, 0.6065, 0.6066, 0.6067, 0.6068, 0.6069, 0.607, 0.6071, 0.6072, 0.6073, 0.6074, 0.6075, 0.6076, 0.6077, 0.6078, 0.6079, 0.608, 0.6081, 0.6082, 0.6083000000000001, 0.6084, 0.6085, 0.6086, 0.6087, 0.6088, 0.6089, 0.609, 0.6091, 0.6092, 0.6093, 0.6094, 0.6095, 0.6096, 0.6097, 0.6098, 0.6099, 0.61, 0.6101, 0.6102, 0.6103000000000001, 0.6104, 0.6105, 0.6106, 0.6107, 0.6108, 0.6109, 0.611, 0.6111, 0.6112, 0.6113, 0.6113999999999999, 0.6115, 0.6116, 0.6117, 0.6118, 0.6119, 0.612, 0.6121, 0.6122, 0.6123000000000001, 0.6124, 0.6125, 0.6126, 0.6127, 0.6128, 0.6129, 0.613, 0.6131, 0.6132, 0.6133, 0.6134, 0.6135, 0.6136, 0.6137, 0.6138, 0.6139, 0.614, 0.6141, 0.6142, 0.6143, 0.6144000000000001, 0.6145, 0.6146, 0.6147, 0.6148, 0.6149, 0.615, 0.6151, 0.6152, 0.6153, 0.6154, 0.6155, 0.6156, 0.6157, 0.6158, 0.6159, 0.616, 0.6161, 0.6162, 0.6163, 0.6164000000000001, 0.6165, 0.6166, 0.6167, 0.6168, 0.6169, 0.617, 0.6171, 0.6172, 0.6173, 0.6174, 0.6175, 0.6176, 0.6177, 0.6178, 0.6179, 0.618, 0.6181, 0.6182, 0.6183, 0.6184000000000001, 0.6185, 0.6186, 0.6187, 0.6188, 0.6189, 0.619, 0.6191, 0.6192, 0.6193, 0.6194, 0.6195, 0.6196, 0.6197, 0.6198, 0.6199, 0.62, 0.6201, 0.6202, 0.6203, 0.6204000000000001, 0.6205, 0.6206, 0.6207, 0.6208, 0.6209, 0.621, 0.6211, 0.6212, 0.6213, 0.6214, 0.6215, 0.6216, 0.6217, 0.6218, 0.6219, 0.622, 0.6221, 0.6222, 0.6223, 0.6224000000000001, 0.6225, 0.6226, 0.6227, 0.6228, 0.6229, 0.623, 0.6231, 0.6232, 0.6233, 0.6234, 0.6235, 0.6236, 0.6237, 0.6238, 0.6239, 0.624, 0.6241, 0.6242, 0.6243, 0.6244000000000001, 0.6245, 0.6246, 0.6247, 0.6248, 0.6249, 0.625, 0.6251, 0.6252, 0.6253, 0.6254, 0.6255, 0.6256, 0.6257, 0.6258, 0.6259, 0.626, 0.6261, 0.6262, 0.6263, 0.6264000000000001, 0.6265000000000001, 0.6266, 0.6267, 0.6268, 0.6269, 0.627, 0.6271, 0.6272, 0.6273, 0.6274, 0.6275, 0.6276, 0.6277, 0.6278, 0.6279, 0.628, 0.6281, 0.6282, 0.6283, 0.6284000000000001, 0.6285000000000001, 0.6286, 0.6287, 0.6288, 0.6289, 0.629, 0.6291, 0.6292, 0.6293, 0.6294, 0.6295, 0.6295999999999999, 0.6297, 0.6298, 0.6299, 0.63, 0.6301, 0.6302, 0.6303, 0.6304000000000001, 0.6305000000000001, 0.6306, 0.6307, 0.6308, 0.6309, 0.631, 0.6311, 0.6312, 0.6313, 0.6314, 0.6315, 0.6315999999999999, 0.6317, 0.6318, 0.6319, 0.632, 0.6321, 0.6322, 0.6323, 0.6324000000000001, 0.6325000000000001, 0.6326, 0.6327, 0.6328, 0.6329, 0.633, 0.6331, 0.6332, 0.6333, 0.6334, 0.6335, 0.6335999999999999, 0.6337, 0.6338, 0.6339, 0.634, 0.6341, 0.6342, 0.6343, 0.6344000000000001, 0.6345000000000001, 0.6346, 0.6347, 0.6348, 0.6349, 0.635, 0.6351, 0.6352, 0.6353, 0.6354, 0.6355, 0.6355999999999999, 0.6357, 0.6358, 0.6359, 0.636, 0.6361, 0.6362, 0.6363, 0.6364, 0.6365000000000001, 0.6366, 0.6367, 0.6368, 0.6369, 0.637, 0.6371, 0.6372, 0.6373, 0.6374, 0.6375, 0.6376, 0.6377, 0.6378, 0.6379, 0.638, 0.6381, 0.6382, 0.6383, 0.6384, 0.6385000000000001, 0.6386000000000001, 0.6387, 0.6388, 0.6389, 0.639, 0.6391, 0.6392, 0.6393, 0.6394, 0.6395, 0.6396, 0.6397, 0.6398, 0.6399, 0.64, 0.6401, 0.6402, 0.6403, 0.6404, 0.6405000000000001, 0.6406000000000001, 0.6407, 0.6408, 0.6409, 0.641, 0.6411, 0.6412, 0.6413, 0.6414, 0.6415, 0.6416, 0.6417, 0.6418, 0.6419, 0.642, 0.6421, 0.6422, 0.6423, 0.6424, 0.6425000000000001, 0.6426000000000001, 0.6427, 0.6428, 0.6429, 0.643, 0.6431, 0.6432, 0.6433, 0.6434, 0.6435, 0.6436, 0.6436999999999999, 0.6438, 0.6439, 0.644, 0.6441, 0.6442, 0.6443, 0.6444, 0.6445000000000001, 0.6446000000000001, 0.6447, 0.6448, 0.6449, 0.645, 0.6451, 0.6452, 0.6453, 0.6454, 0.6455, 0.6456, 0.6456999999999999, 0.6458, 0.6459, 0.646, 0.6461, 0.6462, 0.6463, 0.6464, 0.6465000000000001, 0.6466000000000001, 0.6467, 0.6468, 0.6469, 0.647, 0.6471, 0.6472, 0.6473, 0.6474, 0.6475, 0.6476, 0.6476999999999999, 0.6478, 0.6479, 0.648, 0.6481, 0.6482, 0.6483, 0.6484, 0.6485000000000001, 0.6486000000000001, 0.6487, 0.6488, 0.6489, 0.649, 0.6491, 0.6492, 0.6493, 0.6494, 0.6495, 0.6496, 0.6496999999999999, 0.6498, 0.6499, 0.65, 0.6501, 0.6502, 0.6503, 0.6504, 0.6505, 0.6506000000000001, 0.6507000000000001, 0.6508, 0.6509, 0.651, 0.6511, 0.6512, 0.6513, 0.6514, 0.6515, 0.6516, 0.6517, 0.6518, 0.6519, 0.652, 0.6521, 0.6522, 0.6523, 0.6524, 0.6525, 0.6526000000000001, 0.6527000000000001, 0.6528, 0.6529, 0.653, 0.6531, 0.6532, 0.6533, 0.6534, 0.6535, 0.6536, 0.6537, 0.6538, 0.6539, 0.654, 0.6541, 0.6542, 0.6543, 0.6544, 0.6545, 0.6546000000000001, 0.6547000000000001, 0.6548, 0.6549, 0.655, 0.6551, 0.6552, 0.6553, 0.6554, 0.6555, 0.6556, 0.6557, 0.6557999999999999, 0.6559, 0.656, 0.6561, 0.6562, 0.6563, 0.6564, 0.6565, 0.6566000000000001, 0.6567000000000001, 0.6568, 0.6569, 0.657, 0.6571, 0.6572, 0.6573, 0.6574, 0.6575, 0.6576, 0.6577, 0.6577999999999999, 0.6579, 0.658, 0.6581, 0.6582, 0.6583, 0.6584, 0.6585, 0.6586000000000001, 0.6587000000000001, 0.6588, 0.6589, 0.659, 0.6591, 0.6592, 0.6593, 0.6594, 0.6595, 0.6596, 0.6597, 0.6597999999999999, 0.6599, 0.66, 0.6601, 0.6602, 0.6603, 0.6604, 0.6605, 0.6606000000000001, 0.6607000000000001, 0.6608, 0.6609, 0.661, 0.6611, 0.6612, 0.6613, 0.6614, 0.6615, 0.6616, 0.6617, 0.6617999999999999, 0.6619, 0.662, 0.6621, 0.6622, 0.6623, 0.6624, 0.6625, 0.6626, 0.6627000000000001, 0.6628000000000001, 0.6629, 0.663, 0.6631, 0.6632, 0.6633, 0.6634, 0.6635, 0.6636, 0.6637, 0.6638, 0.6639, 0.664, 0.6641, 0.6642, 0.6643, 0.6644, 0.6645, 0.6646, 0.6647000000000001, 0.6648000000000001, 0.6649, 0.665, 0.6651, 0.6652, 0.6653, 0.6654, 0.6655, 0.6656, 0.6657, 0.6658, 0.6659, 0.666, 0.6661, 0.6662, 0.6663, 0.6664, 0.6665, 0.6666, 0.6667000000000001, 0.6668000000000001, 0.6669, 0.667, 0.6671, 0.6672, 0.6673, 0.6674, 0.6675, 0.6676, 0.6677, 0.6678, 0.6679, 0.668, 0.6681, 0.6682, 0.6683, 0.6684, 0.6685, 0.6686, 0.6687000000000001, 0.6688000000000001, 0.6689, 0.669, 0.6691, 0.6692, 0.6693, 0.6694, 0.6695, 0.6696, 0.6697, 0.6698, 0.6698999999999999, 0.67, 0.6701, 0.6702, 0.6703, 0.6704, 0.6705, 0.6706, 0.6707000000000001, 0.6708000000000001, 0.6709, 0.671, 0.6711, 0.6712, 0.6713, 0.6714, 0.6715, 0.6716, 0.6717, 0.6718, 0.6718999999999999, 0.672, 0.6721, 0.6722, 0.6723, 0.6724, 0.6725, 0.6726, 0.6727000000000001, 0.6728000000000001, 0.6729, 0.673, 0.6731, 0.6732, 0.6733, 0.6734, 0.6735, 0.6736, 0.6737, 0.6738, 0.6738999999999999, 0.674, 0.6741, 0.6742, 0.6743, 0.6744, 0.6745, 0.6746, 0.6747000000000001, 0.6748000000000001, 0.6749, 0.675, 0.6751, 0.6752, 0.6753, 0.6754, 0.6755, 0.6756, 0.6757, 0.6758, 0.6759, 0.676, 0.6761, 0.6762, 0.6763, 0.6764, 0.6765, 0.6766, 0.6767, 0.6768000000000001, 0.6769000000000001, 0.677, 0.6771, 0.6772, 0.6773, 0.6774, 0.6775, 0.6776, 0.6777, 0.6778, 0.6779, 0.678, 0.6781, 0.6782, 0.6783, 0.6784, 0.6785, 0.6786, 0.6787, 0.6788000000000001, 0.6789000000000001, 0.679, 0.6791, 0.6792, 0.6793, 0.6794, 0.6795, 0.6796, 0.6797, 0.6798, 0.6799, 0.68, 0.6801, 0.6802, 0.6803, 0.6804, 0.6805, 0.6806, 0.6807, 0.6808000000000001, 0.6809000000000001, 0.681, 0.6811, 0.6812, 0.6813, 0.6814, 0.6815, 0.6816, 0.6817, 0.6818, 0.6819, 0.6819999999999999, 0.6821, 0.6822, 0.6823, 0.6824, 0.6825, 0.6826, 0.6827, 0.6828000000000001, 0.6829000000000001, 0.683, 0.6831, 0.6832, 0.6833, 0.6834, 0.6835, 0.6836, 0.6837, 0.6838, 0.6839, 0.6839999999999999, 0.6841, 0.6842, 0.6843, 0.6844, 0.6845, 0.6846, 0.6847, 0.6848000000000001, 0.6849000000000001, 0.685, 0.6851, 0.6852, 0.6853, 0.6854, 0.6855, 0.6856, 0.6857, 0.6858, 0.6859, 0.6859999999999999, 0.6861, 0.6862, 0.6863, 0.6864, 0.6865, 0.6866, 0.6867, 0.6868000000000001, 0.6869000000000001, 0.687, 0.6871, 0.6872, 0.6873, 0.6874, 0.6875, 0.6876, 0.6877, 0.6878, 0.6879, 0.688, 0.6881, 0.6882, 0.6883, 0.6884, 0.6885, 0.6886, 0.6887, 0.6888, 0.6889000000000001, 0.6890000000000001, 0.6891, 0.6892, 0.6893, 0.6894, 0.6895, 0.6896, 0.6897, 0.6898, 0.6899, 0.69, 0.6901, 0.6902, 0.6903, 0.6904, 0.6905, 0.6906, 0.6907, 0.6908, 0.6909000000000001, 0.6910000000000001, 0.6911, 0.6912, 0.6913, 0.6914, 0.6915, 0.6916, 0.6917, 0.6918, 0.6919, 0.692, 0.6921, 0.6922, 0.6923, 0.6924, 0.6925, 0.6926, 0.6927, 0.6928, 0.6929000000000001, 0.6930000000000001, 0.6931, 0.6932, 0.6933, 0.6934, 0.6935, 0.6936, 0.6937, 0.6938, 0.6939, 0.694, 0.6941, 0.6942, 0.6943, 0.6944, 0.6945, 0.6946, 0.6947, 0.6948, 0.6949000000000001, 0.6950000000000001, 0.6951, 0.6952, 0.6953, 0.6954, 0.6955, 0.6956, 0.6957, 0.6958, 0.6959, 0.696, 0.6960999999999999, 0.6962, 0.6963, 0.6964, 0.6965, 0.6966, 0.6967, 0.6968, 0.6969000000000001, 0.6970000000000001, 0.6971, 0.6972, 0.6973, 0.6974, 0.6975, 0.6976, 0.6977, 0.6978, 0.6979, 0.698, 0.6980999999999999, 0.6982, 0.6983, 0.6984, 0.6985, 0.6986, 0.6987, 0.6988, 0.6989000000000001, 0.6990000000000001, 0.6991, 0.6992, 0.6993, 0.6994, 0.6995, 0.6996, 0.6997, 0.6998, 0.6999, 0.7, 0.7001, 0.7002, 0.7003, 0.7004, 0.7005, 0.7006, 0.7007, 0.7008, 0.7009000000000001, 0.7010000000000001, 0.7011000000000001, 0.7012, 0.7013, 0.7014, 0.7015, 0.7016, 0.7017, 0.7018, 0.7019, 0.702, 0.7021, 0.7022, 0.7023, 0.7024, 0.7025, 0.7026, 0.7027, 0.7028, 0.7029, 0.7030000000000001, 0.7031000000000001, 0.7032, 0.7033, 0.7034, 0.7035, 0.7036, 0.7037, 0.7038, 0.7039, 0.704, 0.7041, 0.7042, 0.7043, 0.7044, 0.7045, 0.7046, 0.7047, 0.7048, 0.7049, 0.7050000000000001, 0.7051000000000001, 0.7052, 0.7053, 0.7054, 0.7055, 0.7056, 0.7057, 0.7058, 0.7059, 0.706, 0.7061, 0.7062, 0.7063, 0.7064, 0.7065, 0.7066, 0.7067, 0.7068, 0.7069, 0.7070000000000001, 0.7071000000000001, 0.7072, 0.7073, 0.7074, 0.7075, 0.7076, 0.7077, 0.7078, 0.7079, 0.708, 0.7081, 0.7081999999999999, 0.7083, 0.7084, 0.7085, 0.7086, 0.7087, 0.7088, 0.7089, 0.7090000000000001, 0.7091000000000001, 0.7092, 0.7093, 0.7094, 0.7095, 0.7096, 0.7097, 0.7098, 0.7099, 0.71, 0.7101, 0.7101999999999999, 0.7103, 0.7104, 0.7105, 0.7106, 0.7107, 0.7108, 0.7109, 0.7110000000000001, 0.7111000000000001, 0.7112, 0.7113, 0.7114, 0.7115, 0.7116, 0.7117, 0.7118, 0.7119, 0.712, 0.7121, 0.7121999999999999, 0.7123, 0.7124, 0.7125, 0.7126, 0.7127, 0.7128, 0.7129, 0.7130000000000001, 0.7131000000000001, 0.7132000000000001, 0.7133, 0.7134, 0.7135, 0.7136, 0.7137, 0.7138, 0.7139, 0.714, 0.7141, 0.7142, 0.7143, 0.7144, 0.7145, 0.7146, 0.7147, 0.7148, 0.7149, 0.715, 0.7151000000000001, 0.7152000000000001, 0.7153, 0.7154, 0.7155, 0.7156, 0.7157, 0.7158, 0.7159, 0.716, 0.7161, 0.7162, 0.7163, 0.7164, 0.7165, 0.7166, 0.7167, 0.7168, 0.7169, 0.717, 0.7171000000000001, 0.7172000000000001, 0.7173, 0.7174, 0.7175, 0.7176, 0.7177, 0.7178, 0.7179, 0.718, 0.7181, 0.7182, 0.7183, 0.7184, 0.7185, 0.7186, 0.7187, 0.7188, 0.7189, 0.719, 0.7191000000000001, 0.7192000000000001, 0.7193, 0.7194, 0.7195, 0.7196, 0.7197, 0.7198, 0.7199, 0.72, 0.7201, 0.7202, 0.7203, 0.7204, 0.7205, 0.7206, 0.7207, 0.7208, 0.7209, 0.721, 0.7211000000000001, 0.7212000000000001, 0.7213, 0.7214, 0.7215, 0.7216, 0.7217, 0.7218, 0.7219, 0.722, 0.7221, 0.7222, 0.7222999999999999, 0.7224, 0.7225, 0.7226, 0.7227, 0.7228, 0.7229, 0.723, 0.7231000000000001, 0.7232000000000001, 0.7233, 0.7234, 0.7235, 0.7236, 0.7237, 0.7238, 0.7239, 0.724, 0.7241, 0.7242, 0.7242999999999999, 0.7244, 0.7245, 0.7246, 0.7247, 0.7248, 0.7249, 0.725, 0.7251000000000001, 0.7252000000000001, 0.7253000000000001, 0.7254, 0.7255, 0.7256, 0.7257, 0.7258, 0.7259, 0.726, 0.7261, 0.7262, 0.7263, 0.7264, 0.7265, 0.7266, 0.7267, 0.7268, 0.7269, 0.727, 0.7271000000000001, 0.7272000000000001, 0.7273000000000001, 0.7274, 0.7275, 0.7276, 0.7277, 0.7278, 0.7279, 0.728, 0.7281, 0.7282, 0.7283, 0.7284, 0.7285, 0.7286, 0.7287, 0.7288, 0.7289, 0.729, 0.7291, 0.7292000000000001, 0.7293000000000001, 0.7294, 0.7295, 0.7296, 0.7297, 0.7298, 0.7299, 0.73, 0.7301, 0.7302, 0.7303, 0.7304, 0.7305, 0.7306, 0.7307, 0.7308, 0.7309, 0.731, 0.7311, 0.7312000000000001, 0.7313000000000001, 0.7314, 0.7315, 0.7316, 0.7317, 0.7318, 0.7319, 0.732, 0.7321, 0.7322, 0.7323, 0.7324, 0.7325, 0.7326, 0.7327, 0.7328, 0.7329, 0.733, 0.7331, 0.7332000000000001, 0.7333000000000001, 0.7334, 0.7335, 0.7336, 0.7337, 0.7338, 0.7339, 0.734, 0.7341, 0.7342, 0.7343, 0.7344, 0.7345, 0.7346, 0.7347, 0.7348, 0.7349, 0.735, 0.7351, 0.7352000000000001, 0.7353000000000001, 0.7354, 0.7355, 0.7356, 0.7357, 0.7358, 0.7359, 0.736, 0.7361, 0.7362, 0.7363, 0.7363999999999999, 0.7365, 0.7366, 0.7367, 0.7368, 0.7369, 0.737, 0.7371, 0.7372000000000001, 0.7373000000000001, 0.7374, 0.7375, 0.7376, 0.7377, 0.7378, 0.7379, 0.738, 0.7381, 0.7382, 0.7383, 0.7384, 0.7385, 0.7386, 0.7387, 0.7388, 0.7389, 0.739, 0.7391, 0.7392000000000001, 0.7393000000000001, 0.7394000000000001, 0.7395, 0.7396, 0.7397, 0.7398, 0.7399, 0.74, 0.7401, 0.7402, 0.7403, 0.7404, 0.7405, 0.7406, 0.7407, 0.7408, 0.7409, 0.741, 0.7411, 0.7412, 0.7413000000000001, 0.7414000000000001, 0.7415, 0.7416, 0.7417, 0.7418, 0.7419, 0.742, 0.7421, 0.7422, 0.7423, 0.7424, 0.7425, 0.7426, 0.7427, 0.7428, 0.7429, 0.743, 0.7431, 0.7432, 0.7433000000000001, 0.7434000000000001, 0.7435, 0.7436, 0.7437, 0.7438, 0.7439, 0.744, 0.7441, 0.7442, 0.7443, 0.7444, 0.7445, 0.7446, 0.7447, 0.7448, 0.7449, 0.745, 0.7451, 0.7452, 0.7453000000000001, 0.7454000000000001, 0.7455, 0.7456, 0.7457, 0.7458, 0.7459, 0.746, 0.7461, 0.7462, 0.7463, 0.7464, 0.7465, 0.7466, 0.7467, 0.7468, 0.7469, 0.747, 0.7471, 0.7472, 0.7473000000000001, 0.7474000000000001, 0.7475, 0.7476, 0.7477, 0.7478, 0.7479, 0.748, 0.7481, 0.7482, 0.7483, 0.7484, 0.7484999999999999, 0.7486, 0.7487, 0.7488, 0.7489, 0.749, 0.7491, 0.7492, 0.7493000000000001, 0.7494000000000001, 0.7495, 0.7496, 0.7497, 0.7498, 0.7499, 0.75, 0.7501, 0.7502, 0.7503, 0.7504, 0.7505, 0.7505999999999999, 0.7507, 0.7508, 0.7509, 0.751, 0.7511, 0.7512000000000001, 0.7513000000000001, 0.7514000000000001, 0.7515000000000001, 0.7516, 0.7517, 0.7518, 0.7519, 0.752, 0.7521, 0.7522, 0.7523, 0.7524, 0.7525, 0.7525999999999999, 0.7527, 0.7528, 0.7529, 0.753, 0.7531, 0.7532000000000001, 0.7533000000000001, 0.7534000000000001, 0.7535000000000001, 0.7536, 0.7537, 0.7538, 0.7539, 0.754, 0.7541, 0.7542, 0.7543, 0.7544, 0.7545, 0.7545999999999999, 0.7547, 0.7548, 0.7549, 0.755, 0.7551, 0.7552000000000001, 0.7553000000000001, 0.7554000000000001, 0.7555000000000001, 0.7556, 0.7557, 0.7558, 0.7559, 0.756, 0.7561, 0.7562, 0.7563, 0.7564, 0.7565, 0.7565999999999999, 0.7567, 0.7568, 0.7569, 0.757, 0.7571, 0.7572000000000001, 0.7573000000000001, 0.7574000000000001, 0.7575000000000001, 0.7576, 0.7577, 0.7578, 0.7579, 0.758, 0.7581, 0.7582, 0.7583, 0.7584, 0.7585, 0.7585999999999999, 0.7586999999999999, 0.7588, 0.7589, 0.759, 0.7591, 0.7592, 0.7593000000000001, 0.7594000000000001, 0.7595000000000001, 0.7596, 0.7597, 0.7598, 0.7599, 0.76, 0.7601, 0.7602, 0.7603, 0.7604, 0.7605, 0.7605999999999999, 0.7606999999999999, 0.7608, 0.7609, 0.761, 0.7611, 0.7612, 0.7613000000000001, 0.7614000000000001, 0.7615000000000001, 0.7616, 0.7617, 0.7618, 0.7619, 0.762, 0.7621, 0.7622, 0.7623, 0.7624, 0.7625, 0.7626, 0.7626999999999999, 0.7628, 0.7629, 0.763, 0.7631, 0.7632, 0.7633000000000001, 0.7634000000000001, 0.7635000000000001, 0.7636000000000001, 0.7637, 0.7638, 0.7639, 0.764, 0.7641, 0.7642, 0.7643, 0.7644, 0.7645, 0.7646, 0.7646999999999999, 0.7648, 0.7649, 0.765, 0.7651, 0.7652, 0.7653000000000001, 0.7654000000000001, 0.7655000000000001, 0.7656000000000001, 0.7657, 0.7658, 0.7659, 0.766, 0.7661, 0.7662, 0.7663, 0.7664, 0.7665, 0.7666, 0.7666999999999999, 0.7668, 0.7669, 0.767, 0.7671, 0.7672, 0.7673000000000001, 0.7674000000000001, 0.7675000000000001, 0.7676000000000001, 0.7677, 0.7678, 0.7679, 0.768, 0.7681, 0.7682, 0.7683, 0.7684, 0.7685, 0.7686, 0.7686999999999999, 0.7688, 0.7689, 0.769, 0.7691, 0.7692, 0.7693000000000001, 0.7694000000000001, 0.7695000000000001, 0.7696000000000001, 0.7697, 0.7698, 0.7699, 0.77, 0.7701, 0.7702, 0.7703, 0.7704, 0.7705, 0.7706, 0.7706999999999999, 0.7708, 0.7709, 0.771, 0.7711, 0.7712, 0.7713, 0.7714000000000001, 0.7715000000000001, 0.7716000000000001, 0.7717, 0.7718, 0.7719, 0.772, 0.7721, 0.7722, 0.7723, 0.7724, 0.7725, 0.7726, 0.7726999999999999, 0.7727999999999999, 0.7729, 0.773, 0.7731, 0.7732, 0.7733, 0.7734000000000001, 0.7735000000000001, 0.7736000000000001, 0.7737, 0.7738, 0.7739, 0.774, 0.7741, 0.7742, 0.7743, 0.7744, 0.7745, 0.7746, 0.7746999999999999, 0.7747999999999999, 0.7749, 0.775, 0.7751, 0.7752, 0.7753, 0.7754000000000001, 0.7755000000000001, 0.7756000000000001, 0.7757000000000001, 0.7758, 0.7759, 0.776, 0.7761, 0.7762, 0.7763, 0.7764, 0.7765, 0.7766, 0.7767, 0.7767999999999999, 0.7769, 0.777, 0.7771, 0.7772, 0.7773, 0.7774000000000001, 0.7775000000000001, 0.7776000000000001, 0.7777000000000001, 0.7778, 0.7779, 0.778, 0.7781, 0.7782, 0.7783, 0.7784, 0.7785, 0.7786, 0.7787, 0.7787999999999999, 0.7789, 0.779, 0.7791, 0.7792, 0.7793, 0.7794000000000001, 0.7795000000000001, 0.7796000000000001, 0.7797000000000001, 0.7798, 0.7799, 0.78, 0.7801, 0.7802, 0.7803, 0.7804, 0.7805, 0.7806, 0.7807, 0.7807999999999999, 0.7809, 0.781, 0.7811, 0.7812, 0.7813, 0.7814000000000001, 0.7815000000000001, 0.7816000000000001, 0.7817000000000001, 0.7818, 0.7819, 0.782, 0.7821, 0.7822, 0.7823, 0.7824, 0.7825, 0.7826, 0.7827, 0.7827999999999999, 0.7829, 0.783, 0.7831, 0.7832, 0.7833, 0.7834000000000001, 0.7835000000000001, 0.7836000000000001, 0.7837000000000001, 0.7838, 0.7839, 0.784, 0.7841, 0.7842, 0.7843, 0.7844, 0.7845, 0.7846, 0.7847, 0.7847999999999999, 0.7848999999999999, 0.785, 0.7851, 0.7852, 0.7853, 0.7854, 0.7855000000000001, 0.7856000000000001, 0.7857000000000001, 0.7858, 0.7859, 0.786, 0.7861, 0.7862, 0.7863, 0.7864, 0.7865, 0.7866, 0.7867, 0.7867999999999999, 0.7868999999999999, 0.787, 0.7871, 0.7872, 0.7873, 0.7874, 0.7875000000000001, 0.7876000000000001, 0.7877000000000001, 0.7878000000000001, 0.7879, 0.788, 0.7881, 0.7882, 0.7883, 0.7884, 0.7885, 0.7886, 0.7887, 0.7888, 0.7888999999999999, 0.789, 0.7891, 0.7892, 0.7893, 0.7894, 0.7895000000000001, 0.7896000000000001, 0.7897000000000001, 0.7898000000000001, 0.7899, 0.79, 0.7901, 0.7902, 0.7903, 0.7904, 0.7905, 0.7906, 0.7907, 0.7908, 0.7908999999999999, 0.791, 0.7911, 0.7912, 0.7913, 0.7914, 0.7915000000000001, 0.7916000000000001, 0.7917000000000001, 0.7918000000000001, 0.7919, 0.792, 0.7921, 0.7922, 0.7923, 0.7924, 0.7925, 0.7926, 0.7927, 0.7928, 0.7928999999999999, 0.793, 0.7931, 0.7932, 0.7933, 0.7934, 0.7935000000000001, 0.7936000000000001, 0.7937000000000001, 0.7938000000000001, 0.7939, 0.794, 0.7941, 0.7942, 0.7943, 0.7944, 0.7945, 0.7946, 0.7947, 0.7948, 0.7948999999999999, 0.795, 0.7951, 0.7952, 0.7953, 0.7954, 0.7955000000000001, 0.7956000000000001, 0.7957000000000001, 0.7958000000000001, 0.7959, 0.796, 0.7961, 0.7962, 0.7963, 0.7964, 0.7965, 0.7966, 0.7967, 0.7968, 0.7968999999999999, 0.797, 0.7971, 0.7972, 0.7973, 0.7974, 0.7975, 0.7976000000000001, 0.7977000000000001, 0.7978000000000001, 0.7979, 0.798, 0.7981, 0.7982, 0.7983, 0.7984, 0.7985, 0.7986, 0.7987, 0.7988, 0.7988999999999999, 0.7989999999999999, 0.7991, 0.7992, 0.7993, 0.7994, 0.7995, 0.7996000000000001, 0.7997000000000001, 0.7998000000000001, 0.7999, 0.8, 0.8001, 0.8002, 0.8003, 0.8004, 0.8005, 0.8006, 0.8007, 0.8008, 0.8009, 0.8009999999999999, 0.8011, 0.8012, 0.8013, 0.8014, 0.8015, 0.8016000000000001, 0.8017000000000001, 0.8018000000000001, 0.8019000000000001, 0.802, 0.8021, 0.8022, 0.8023, 0.8024, 0.8025, 0.8026, 0.8027, 0.8028, 0.8029, 0.8029999999999999, 0.8031, 0.8032, 0.8033, 0.8034, 0.8035, 0.8036000000000001, 0.8037000000000001, 0.8038000000000001, 0.8039000000000001, 0.804, 0.8041, 0.8042, 0.8043, 0.8044, 0.8045, 0.8046, 0.8047, 0.8048, 0.8049, 0.8049999999999999, 0.8051, 0.8052, 0.8053, 0.8054, 0.8055, 0.8056000000000001, 0.8057000000000001, 0.8058000000000001, 0.8059000000000001, 0.806, 0.8061, 0.8062, 0.8063, 0.8064, 0.8065, 0.8066, 0.8067, 0.8068, 0.8069, 0.8069999999999999, 0.8071, 0.8072, 0.8073, 0.8074, 0.8075, 0.8076000000000001, 0.8077000000000001, 0.8078000000000001, 0.8079000000000001, 0.808, 0.8081, 0.8082, 0.8083, 0.8084, 0.8085, 0.8086, 0.8087, 0.8088, 0.8089, 0.8089999999999999, 0.8091, 0.8092, 0.8093, 0.8094, 0.8095, 0.8096000000000001, 0.8097000000000001, 0.8098000000000001, 0.8099000000000001, 0.81, 0.8101, 0.8102, 0.8103, 0.8104, 0.8105, 0.8106, 0.8107, 0.8108, 0.8109, 0.8109999999999999, 0.8110999999999999, 0.8112, 0.8113, 0.8114, 0.8115, 0.8116, 0.8117000000000001, 0.8118000000000001, 0.8119000000000001, 0.812, 0.8121, 0.8122, 0.8123, 0.8124, 0.8125, 0.8126, 0.8127, 0.8128, 0.8129, 0.813, 0.8130999999999999, 0.8132, 0.8133, 0.8134, 0.8135, 0.8136, 0.8137000000000001, 0.8138000000000001, 0.8139000000000001, 0.8140000000000001, 0.8141, 0.8142, 0.8143, 0.8144, 0.8145, 0.8146, 0.8147, 0.8148, 0.8149, 0.815, 0.8150999999999999, 0.8152, 0.8153, 0.8154, 0.8155, 0.8156, 0.8157000000000001, 0.8158000000000001, 0.8159000000000001, 0.8160000000000001, 0.8161, 0.8162, 0.8163, 0.8164, 0.8165, 0.8166, 0.8167, 0.8168, 0.8169, 0.817, 0.8170999999999999, 0.8172, 0.8173, 0.8174, 0.8175, 0.8176, 0.8177000000000001, 0.8178000000000001, 0.8179000000000001, 0.8180000000000001, 0.8181, 0.8182, 0.8183, 0.8184, 0.8185, 0.8186, 0.8187, 0.8188, 0.8189, 0.819, 0.8190999999999999, 0.8192, 0.8193, 0.8194, 0.8195, 0.8196, 0.8197000000000001, 0.8198000000000001, 0.8199000000000001, 0.8200000000000001, 0.8201, 0.8202, 0.8203, 0.8204, 0.8205, 0.8206, 0.8207, 0.8208, 0.8209, 0.821, 0.8210999999999999, 0.8212, 0.8213, 0.8214, 0.8215, 0.8216, 0.8217000000000001, 0.8218000000000001, 0.8219000000000001, 0.8220000000000001, 0.8221, 0.8222, 0.8223, 0.8224, 0.8225, 0.8226, 0.8227, 0.8228, 0.8229, 0.823, 0.8230999999999999, 0.8232, 0.8233, 0.8234, 0.8235, 0.8236, 0.8237000000000001, 0.8238000000000001, 0.8239000000000001, 0.8240000000000001, 0.8241, 0.8242, 0.8243, 0.8244, 0.8245, 0.8246, 0.8247, 0.8248, 0.8249, 0.825, 0.8251, 0.8251999999999999, 0.8253, 0.8254, 0.8255, 0.8256, 0.8257, 0.8258000000000001, 0.8259000000000001, 0.8260000000000001, 0.8261000000000001, 0.8262, 0.8263, 0.8264, 0.8265, 0.8266, 0.8267, 0.8268, 0.8269, 0.827, 0.8271, 0.8271999999999999, 0.8273, 0.8274, 0.8275, 0.8276, 0.8277, 0.8278000000000001, 0.8279000000000001, 0.8280000000000001, 0.8281000000000001, 0.8282, 0.8283, 0.8284, 0.8285, 0.8286, 0.8287, 0.8288, 0.8289, 0.829, 0.8291, 0.8291999999999999, 0.8293, 0.8294, 0.8295, 0.8296, 0.8297, 0.8298000000000001, 0.8299000000000001, 0.8300000000000001, 0.8301000000000001, 0.8302, 0.8303, 0.8304, 0.8305, 0.8306, 0.8307, 0.8308, 0.8309, 0.831, 0.8311, 0.8311999999999999, 0.8313, 0.8314, 0.8315, 0.8316, 0.8317, 0.8318000000000001, 0.8319000000000001, 0.8320000000000001, 0.8321000000000001, 0.8322, 0.8323, 0.8324, 0.8325, 0.8326, 0.8327, 0.8328, 0.8329, 0.833, 0.8331, 0.8331999999999999, 0.8333, 0.8334, 0.8335, 0.8336, 0.8337, 0.8338000000000001, 0.8339000000000001, 0.8340000000000001, 0.8341000000000001, 0.8342, 0.8343, 0.8344, 0.8345, 0.8346, 0.8347, 0.8348, 0.8349, 0.835, 0.8351, 0.8351999999999999, 0.8353, 0.8354, 0.8355, 0.8356, 0.8357, 0.8358000000000001, 0.8359000000000001, 0.8360000000000001, 0.8361000000000001, 0.8362, 0.8363, 0.8364, 0.8365, 0.8366, 0.8367, 0.8368, 0.8369, 0.837, 0.8371, 0.8371999999999999, 0.8372999999999999, 0.8374, 0.8375, 0.8376, 0.8377, 0.8378, 0.8379000000000001, 0.8380000000000001, 0.8381000000000001, 0.8382000000000001, 0.8383, 0.8384, 0.8385, 0.8386, 0.8387, 0.8388, 0.8389, 0.839, 0.8391, 0.8392, 0.8392999999999999, 0.8394, 0.8395, 0.8396, 0.8397, 0.8398, 0.8399000000000001, 0.8400000000000001, 0.8401000000000001, 0.8402000000000001, 0.8403, 0.8404, 0.8405, 0.8406, 0.8407, 0.8408, 0.8409, 0.841, 0.8411, 0.8412, 0.8412999999999999, 0.8414, 0.8415, 0.8416, 0.8417, 0.8418, 0.8419000000000001, 0.8420000000000001, 0.8421000000000001, 0.8422000000000001, 0.8423, 0.8424, 0.8425, 0.8426, 0.8427, 0.8428, 0.8429, 0.843, 0.8431, 0.8432, 0.8432999999999999, 0.8434, 0.8435, 0.8436, 0.8437, 0.8438, 0.8439000000000001, 0.8440000000000001, 0.8441000000000001, 0.8442000000000001, 0.8443, 0.8444, 0.8445, 0.8446, 0.8447, 0.8448, 0.8449, 0.845, 0.8451, 0.8452, 0.8452999999999999, 0.8454, 0.8455, 0.8456, 0.8457, 0.8458, 0.8459000000000001, 0.8460000000000001, 0.8461000000000001, 0.8462000000000001, 0.8463, 0.8464, 0.8465, 0.8466, 0.8467, 0.8468, 0.8469, 0.847, 0.8471, 0.8472, 0.8472999999999999, 0.8474, 0.8475, 0.8476, 0.8477, 0.8478, 0.8479000000000001, 0.8480000000000001, 0.8481000000000001, 0.8482000000000001, 0.8483, 0.8484, 0.8485, 0.8486, 0.8487, 0.8488, 0.8489, 0.849, 0.8491, 0.8492, 0.8492999999999999, 0.8494, 0.8495, 0.8496, 0.8497, 0.8498, 0.8499000000000001, 0.8500000000000001, 0.8501000000000001, 0.8502000000000001, 0.8503000000000001, 0.8504, 0.8505, 0.8506, 0.8507, 0.8508, 0.8509, 0.851, 0.8511, 0.8512, 0.8513, 0.8513999999999999, 0.8515, 0.8516, 0.8517, 0.8518, 0.8519, 0.8520000000000001, 0.8521000000000001, 0.8522000000000001, 0.8523000000000001, 0.8524, 0.8525, 0.8526, 0.8527, 0.8528, 0.8529, 0.853, 0.8531, 0.8532, 0.8533, 0.8533999999999999, 0.8535, 0.8536, 0.8537, 0.8538, 0.8539, 0.8540000000000001, 0.8541000000000001, 0.8542000000000001, 0.8543000000000001, 0.8544, 0.8545, 0.8546, 0.8547, 0.8548, 0.8549, 0.855, 0.8551, 0.8552, 0.8553, 0.8553999999999999, 0.8555, 0.8556, 0.8557, 0.8558, 0.8559, 0.8560000000000001, 0.8561000000000001, 0.8562000000000001, 0.8563000000000001, 0.8564, 0.8565, 0.8566, 0.8567, 0.8568, 0.8569, 0.857, 0.8571, 0.8572, 0.8573, 0.8573999999999999, 0.8575, 0.8576, 0.8577, 0.8578, 0.8579, 0.8580000000000001, 0.8581000000000001, 0.8582000000000001, 0.8583000000000001, 0.8584, 0.8585, 0.8586, 0.8587, 0.8588, 0.8589, 0.859, 0.8591, 0.8592, 0.8593, 0.8593999999999999, 0.8595, 0.8596, 0.8597, 0.8598, 0.8599, 0.8600000000000001, 0.8601000000000001, 0.8602000000000001, 0.8603000000000001, 0.8604, 0.8605, 0.8606, 0.8607, 0.8608, 0.8609, 0.861, 0.8611, 0.8612, 0.8613, 0.8613999999999999, 0.8615, 0.8616, 0.8617, 0.8618, 0.8619, 0.8620000000000001, 0.8621000000000001, 0.8622000000000001, 0.8623000000000001, 0.8624, 0.8625, 0.8626, 0.8627, 0.8628, 0.8629, 0.863, 0.8631, 0.8632, 0.8633, 0.8634, 0.8634999999999999, 0.8636, 0.8637, 0.8638, 0.8639, 0.864, 0.8641000000000001, 0.8642000000000001, 0.8643000000000001, 0.8644000000000001, 0.8645, 0.8646, 0.8647, 0.8648, 0.8649, 0.865, 0.8651, 0.8652, 0.8653, 0.8654, 0.8654999999999999, 0.8656, 0.8657, 0.8658, 0.8659, 0.866, 0.8661000000000001, 0.8662000000000001, 0.8663000000000001, 0.8664000000000001, 0.8665, 0.8666, 0.8667, 0.8668, 0.8669, 0.867, 0.8671, 0.8672, 0.8673, 0.8674, 0.8674999999999999, 0.8676, 0.8677, 0.8678, 0.8679, 0.868, 0.8681000000000001, 0.8682000000000001, 0.8683000000000001, 0.8684000000000001, 0.8685, 0.8686, 0.8687, 0.8688, 0.8689, 0.869, 0.8691, 0.8692, 0.8693, 0.8694, 0.8694999999999999, 0.8696, 0.8697, 0.8698, 0.8699, 0.87, 0.8701000000000001, 0.8702000000000001, 0.8703000000000001, 0.8704000000000001, 0.8705, 0.8706, 0.8707, 0.8708, 0.8709, 0.871, 0.8711, 0.8712, 0.8713, 0.8714, 0.8714999999999999, 0.8716, 0.8717, 0.8718, 0.8719, 0.872, 0.8721000000000001, 0.8722000000000001, 0.8723000000000001, 0.8724000000000001, 0.8725, 0.8726, 0.8727, 0.8728, 0.8729, 0.873, 0.8731, 0.8732, 0.8733, 0.8734, 0.8734999999999999, 0.8736, 0.8737, 0.8738, 0.8739, 0.874, 0.8741000000000001, 0.8742000000000001, 0.8743000000000001, 0.8744000000000001, 0.8745, 0.8746, 0.8747, 0.8748, 0.8749, 0.875, 0.8751, 0.8752, 0.8753, 0.8754, 0.8755, 0.8756, 0.8757, 0.8758, 0.8759, 0.876, 0.8761000000000001, 0.8762000000000001, 0.8763000000000001, 0.8764000000000001, 0.8765000000000001, 0.8766, 0.8767, 0.8768, 0.8769, 0.877, 0.8771, 0.8772, 0.8773, 0.8774, 0.8775, 0.8775999999999999, 0.8777, 0.8778, 0.8779, 0.878, 0.8781, 0.8782000000000001, 0.8783000000000001, 0.8784000000000001, 0.8785000000000001, 0.8786, 0.8787, 0.8788, 0.8789, 0.879, 0.8791, 0.8792, 0.8793, 0.8794, 0.8795, 0.8795999999999999, 0.8797, 0.8798, 0.8799, 0.88, 0.8801, 0.8802000000000001, 0.8803000000000001, 0.8804000000000001, 0.8805000000000001, 0.8806, 0.8807, 0.8808, 0.8809, 0.881, 0.8811, 0.8812, 0.8813, 0.8814, 0.8815, 0.8815999999999999, 0.8817, 0.8818, 0.8819, 0.882, 0.8821, 0.8822000000000001, 0.8823000000000001, 0.8824000000000001, 0.8825000000000001, 0.8826, 0.8827, 0.8828, 0.8829, 0.883, 0.8831, 0.8832, 0.8833, 0.8834, 0.8835, 0.8835999999999999, 0.8837, 0.8838, 0.8839, 0.884, 0.8841, 0.8842000000000001, 0.8843000000000001, 0.8844000000000001, 0.8845000000000001, 0.8846, 0.8847, 0.8848, 0.8849, 0.885, 0.8851, 0.8852, 0.8853, 0.8854, 0.8855, 0.8855999999999999, 0.8857, 0.8858, 0.8859, 0.886, 0.8861, 0.8862000000000001, 0.8863000000000001, 0.8864000000000001, 0.8865000000000001, 0.8866, 0.8867, 0.8868, 0.8869, 0.887, 0.8871, 0.8872, 0.8873, 0.8874, 0.8875, 0.8876, 0.8877, 0.8878, 0.8879, 0.888, 0.8881, 0.8882000000000001, 0.8883000000000001, 0.8884000000000001, 0.8885000000000001, 0.8886000000000001, 0.8887, 0.8888, 0.8889, 0.889, 0.8891, 0.8892, 0.8893, 0.8894, 0.8895, 0.8896, 0.8897, 0.8898, 0.8899, 0.89, 0.8901, 0.8902, 0.8903000000000001, 0.8904000000000001, 0.8905000000000001, 0.8906000000000001, 0.8907, 0.8908, 0.8909, 0.891, 0.8911, 0.8912, 0.8913, 0.8914, 0.8915, 0.8916, 0.8916999999999999, 0.8918, 0.8919, 0.892, 0.8921, 0.8922, 0.8923000000000001, 0.8924000000000001, 0.8925000000000001, 0.8926000000000001, 0.8927, 0.8928, 0.8929, 0.893, 0.8931, 0.8932, 0.8933, 0.8934, 0.8935, 0.8936, 0.8936999999999999, 0.8938, 0.8939, 0.894, 0.8941, 0.8942, 0.8943000000000001, 0.8944000000000001, 0.8945000000000001, 0.8946000000000001, 0.8947, 0.8948, 0.8949, 0.895, 0.8951, 0.8952, 0.8953, 0.8954, 0.8955, 0.8956, 0.8956999999999999, 0.8958, 0.8959, 0.896, 0.8961, 0.8962, 0.8963000000000001, 0.8964000000000001, 0.8965000000000001, 0.8966000000000001, 0.8967, 0.8968, 0.8969, 0.897, 0.8971, 0.8972, 0.8973, 0.8974, 0.8975, 0.8976, 0.8976999999999999, 0.8978, 0.8979, 0.898, 0.8981, 0.8982, 0.8983000000000001, 0.8984000000000001, 0.8985000000000001, 0.8986000000000001, 0.8987, 0.8988, 0.8989, 0.899, 0.8991, 0.8992, 0.8993, 0.8994, 0.8995, 0.8996, 0.8996999999999999, 0.8998, 0.8999, 0.9, 0.9001, 0.9002, 0.9003000000000001, 0.9004000000000001, 0.9005000000000001, 0.9006000000000001, 0.9007000000000001, 0.9008, 0.9009, 0.901, 0.9011, 0.9012, 0.9013, 0.9014, 0.9015, 0.9016, 0.9017, 0.9018, 0.9019, 0.902, 0.9021, 0.9022, 0.9023000000000001, 0.9024000000000001, 0.9025000000000001, 0.9026000000000001, 0.9027000000000001, 0.9028, 0.9029, 0.903, 0.9031, 0.9032, 0.9033, 0.9034, 0.9035, 0.9036, 0.9037, 0.9037999999999999, 0.9039, 0.904, 0.9041, 0.9042, 0.9043, 0.9044000000000001, 0.9045000000000001, 0.9046000000000001, 0.9047000000000001, 0.9048, 0.9049, 0.905, 0.9051, 0.9052, 0.9053, 0.9054, 0.9055, 0.9056, 0.9057, 0.9057999999999999, 0.9059, 0.906, 0.9061, 0.9062, 0.9063, 0.9064000000000001, 0.9065000000000001, 0.9066000000000001, 0.9067000000000001, 0.9068, 0.9069, 0.907, 0.9071, 0.9072, 0.9073, 0.9074, 0.9075, 0.9076, 0.9077, 0.9077999999999999, 0.9079, 0.908, 0.9081, 0.9082, 0.9083, 0.9084000000000001, 0.9085000000000001, 0.9086000000000001, 0.9087000000000001, 0.9088, 0.9089, 0.909, 0.9091, 0.9092, 0.9093, 0.9094, 0.9095, 0.9096, 0.9097, 0.9097999999999999, 0.9099, 0.91, 0.9101, 0.9102, 0.9103, 0.9104000000000001, 0.9105000000000001, 0.9106000000000001, 0.9107000000000001, 0.9108, 0.9109, 0.911, 0.9111, 0.9112, 0.9113, 0.9114, 0.9115, 0.9116, 0.9117, 0.9117999999999999, 0.9119, 0.912, 0.9121, 0.9122, 0.9123, 0.9124000000000001, 0.9125000000000001, 0.9126000000000001, 0.9127000000000001, 0.9128000000000001, 0.9129, 0.913, 0.9131, 0.9132, 0.9133, 0.9134, 0.9135, 0.9136, 0.9137, 0.9138, 0.9139, 0.914, 0.9141, 0.9142, 0.9143, 0.9144000000000001, 0.9145000000000001, 0.9146000000000001, 0.9147000000000001, 0.9148000000000001, 0.9149, 0.915, 0.9151, 0.9152, 0.9153, 0.9154, 0.9155, 0.9156, 0.9157, 0.9158, 0.9159, 0.916, 0.9161, 0.9162, 0.9163, 0.9164, 0.9165000000000001, 0.9166000000000001, 0.9167000000000001, 0.9168000000000001, 0.9169, 0.917, 0.9171, 0.9172, 0.9173, 0.9174, 0.9175, 0.9176, 0.9177, 0.9178, 0.9178999999999999, 0.918, 0.9181, 0.9182, 0.9183, 0.9184, 0.9185000000000001, 0.9186000000000001, 0.9187000000000001, 0.9188000000000001, 0.9189, 0.919, 0.9191, 0.9192, 0.9193, 0.9194, 0.9195, 0.9196, 0.9197, 0.9198, 0.9198999999999999, 0.92, 0.9201, 0.9202, 0.9203, 0.9204, 0.9205000000000001, 0.9206000000000001, 0.9207000000000001, 0.9208000000000001, 0.9209, 0.921, 0.9211, 0.9212, 0.9213, 0.9214, 0.9215, 0.9216, 0.9217, 0.9218, 0.9218999999999999, 0.922, 0.9221, 0.9222, 0.9223, 0.9224, 0.9225000000000001, 0.9226000000000001, 0.9227000000000001, 0.9228000000000001, 0.9229, 0.923, 0.9231, 0.9232, 0.9233, 0.9234, 0.9235, 0.9236, 0.9237, 0.9238, 0.9238999999999999, 0.924, 0.9241, 0.9242, 0.9243, 0.9244, 0.9245000000000001, 0.9246000000000001, 0.9247000000000001, 0.9248000000000001, 0.9249, 0.925, 0.9251, 0.9252, 0.9253, 0.9254, 0.9255, 0.9256, 0.9257, 0.9258, 0.9259, 0.926, 0.9261, 0.9262, 0.9263, 0.9264, 0.9265000000000001, 0.9266000000000001, 0.9267000000000001, 0.9268000000000001, 0.9269000000000001, 0.927, 0.9271, 0.9272, 0.9273, 0.9274, 0.9275, 0.9276, 0.9277, 0.9278, 0.9279, 0.928, 0.9281, 0.9282, 0.9283, 0.9284, 0.9285000000000001, 0.9286000000000001, 0.9287000000000001, 0.9288000000000001, 0.9289000000000001, 0.929, 0.9291, 0.9292, 0.9293, 0.9294, 0.9295, 0.9296, 0.9297, 0.9298, 0.9299, 0.9299999999999999, 0.9301, 0.9302, 0.9303, 0.9304, 0.9305, 0.9306000000000001, 0.9307000000000001, 0.9308000000000001, 0.9309000000000001, 0.931, 0.9311, 0.9312, 0.9313, 0.9314, 0.9315, 0.9316, 0.9317, 0.9318, 0.9319, 0.9319999999999999, 0.9321, 0.9322, 0.9323, 0.9324, 0.9325, 0.9326000000000001, 0.9327000000000001, 0.9328000000000001, 0.9329000000000001, 0.933, 0.9331, 0.9332, 0.9333, 0.9334, 0.9335, 0.9336, 0.9337, 0.9338, 0.9339, 0.9339999999999999, 0.9341, 0.9342, 0.9343, 0.9344, 0.9345, 0.9346000000000001, 0.9347000000000001, 0.9348000000000001, 0.9349000000000001, 0.935, 0.9351, 0.9352, 0.9353, 0.9354, 0.9355, 0.9356, 0.9357, 0.9358, 0.9359, 0.9359999999999999, 0.9361, 0.9362, 0.9363, 0.9364, 0.9365, 0.9366000000000001, 0.9367000000000001, 0.9368000000000001, 0.9369000000000001, 0.937, 0.9371, 0.9372, 0.9373, 0.9374, 0.9375, 0.9376, 0.9377, 0.9378, 0.9379, 0.938, 0.9381, 0.9382, 0.9383, 0.9384, 0.9385, 0.9386000000000001, 0.9387000000000001, 0.9388000000000001, 0.9389000000000001, 0.9390000000000001, 0.9391, 0.9392, 0.9393, 0.9394, 0.9395, 0.9396, 0.9397, 0.9398, 0.9399, 0.94, 0.9401, 0.9402, 0.9403, 0.9404, 0.9405, 0.9406000000000001, 0.9407000000000001, 0.9408000000000001, 0.9409000000000001, 0.9410000000000001, 0.9411, 0.9412, 0.9413, 0.9414, 0.9415, 0.9416, 0.9417, 0.9418, 0.9419, 0.942, 0.9421, 0.9422, 0.9423, 0.9424, 0.9425, 0.9426000000000001, 0.9427000000000001, 0.9428000000000001, 0.9429000000000001, 0.9430000000000001, 0.9431, 0.9432, 0.9433, 0.9434, 0.9435, 0.9436, 0.9437, 0.9438, 0.9439, 0.944, 0.9440999999999999, 0.9442, 0.9443, 0.9444, 0.9445, 0.9446, 0.9447000000000001, 0.9448000000000001, 0.9449000000000001, 0.9450000000000001, 0.9451, 0.9452, 0.9453, 0.9454, 0.9455, 0.9456, 0.9457, 0.9458, 0.9459, 0.946, 0.9460999999999999, 0.9462, 0.9463, 0.9464, 0.9465, 0.9466, 0.9467000000000001, 0.9468000000000001, 0.9469000000000001, 0.9470000000000001, 0.9471, 0.9472, 0.9473, 0.9474, 0.9475, 0.9476, 0.9477, 0.9478, 0.9479, 0.948, 0.9480999999999999, 0.9482, 0.9483, 0.9484, 0.9485, 0.9486, 0.9487000000000001, 0.9488000000000001, 0.9489000000000001, 0.9490000000000001, 0.9491, 0.9492, 0.9493, 0.9494, 0.9495, 0.9496, 0.9497, 0.9498, 0.9499, 0.95, 0.9501, 0.9502, 0.9503, 0.9504, 0.9505, 0.9506, 0.9507000000000001, 0.9508000000000001, 0.9509000000000001, 0.9510000000000001, 0.9511000000000001, 0.9512, 0.9513, 0.9514, 0.9515, 0.9516, 0.9517, 0.9518, 0.9519, 0.952, 0.9521, 0.9522, 0.9523, 0.9524, 0.9525, 0.9526, 0.9527000000000001, 0.9528000000000001, 0.9529000000000001, 0.9530000000000001, 0.9531000000000001, 0.9532, 0.9533, 0.9534, 0.9535, 0.9536, 0.9537, 0.9538, 0.9539, 0.954, 0.9541, 0.9542, 0.9543, 0.9544, 0.9545, 0.9546, 0.9547000000000001, 0.9548000000000001, 0.9549000000000001, 0.9550000000000001, 0.9551000000000001, 0.9552, 0.9553, 0.9554, 0.9555, 0.9556, 0.9557, 0.9558, 0.9559, 0.956, 0.9561, 0.9561999999999999, 0.9563, 0.9564, 0.9565, 0.9566, 0.9567, 0.9568000000000001, 0.9569000000000001, 0.9570000000000001, 0.9571000000000001, 0.9572, 0.9573, 0.9574, 0.9575, 0.9576, 0.9577, 0.9578, 0.9579, 0.958, 0.9581, 0.9581999999999999, 0.9583, 0.9584, 0.9585, 0.9586, 0.9587, 0.9588000000000001, 0.9589000000000001, 0.9590000000000001, 0.9591000000000001, 0.9592, 0.9593, 0.9594, 0.9595, 0.9596, 0.9597, 0.9598, 0.9599, 0.96, 0.9601, 0.9601999999999999, 0.9603, 0.9604, 0.9605, 0.9606, 0.9607, 0.9608000000000001, 0.9609000000000001, 0.9610000000000001, 0.9611000000000001, 0.9612, 0.9613, 0.9614, 0.9615, 0.9616, 0.9617, 0.9618, 0.9619, 0.962, 0.9621, 0.9621999999999999, 0.9623, 0.9624, 0.9625, 0.9626, 0.9627, 0.9628000000000001, 0.9629000000000001, 0.9630000000000001, 0.9631000000000001, 0.9632000000000001, 0.9633, 0.9634, 0.9635, 0.9636, 0.9637, 0.9638, 0.9639, 0.964, 0.9641, 0.9642, 0.9643, 0.9644, 0.9645, 0.9646, 0.9647, 0.9648000000000001, 0.9649000000000001, 0.9650000000000001, 0.9651000000000001, 0.9652000000000001, 0.9653, 0.9654, 0.9655, 0.9656, 0.9657, 0.9658, 0.9659, 0.966, 0.9661, 0.9662, 0.9663, 0.9664, 0.9665, 0.9666, 0.9667, 0.9668000000000001, 0.9669000000000001, 0.9670000000000001, 0.9671000000000001, 0.9672000000000001, 0.9673, 0.9674, 0.9675, 0.9676, 0.9677, 0.9678, 0.9679, 0.968, 0.9681, 0.9682, 0.9683, 0.9684, 0.9685, 0.9686, 0.9687, 0.9688000000000001, 0.9689000000000001, 0.9690000000000001, 0.9691000000000001, 0.9692000000000001, 0.9693, 0.9694, 0.9695, 0.9696, 0.9697, 0.9698, 0.9699, 0.97, 0.9701, 0.9702, 0.9702999999999999, 0.9704, 0.9705, 0.9706, 0.9707, 0.9708, 0.9709000000000001, 0.9710000000000001, 0.9711000000000001, 0.9712000000000001, 0.9713, 0.9714, 0.9715, 0.9716, 0.9717, 0.9718, 0.9719, 0.972, 0.9721, 0.9722, 0.9722999999999999, 0.9724, 0.9725, 0.9726, 0.9727, 0.9728, 0.9729000000000001, 0.9730000000000001, 0.9731000000000001, 0.9732000000000001, 0.9733, 0.9734, 0.9735, 0.9736, 0.9737, 0.9738, 0.9739, 0.974, 0.9741, 0.9742, 0.9742999999999999, 0.9744, 0.9745, 0.9746, 0.9747, 0.9748, 0.9749000000000001, 0.9750000000000001, 0.9751000000000001, 0.9752000000000001, 0.9753000000000001, 0.9754, 0.9755, 0.9756, 0.9757, 0.9758, 0.9759, 0.976, 0.9761, 0.9762, 0.9763, 0.9764, 0.9765, 0.9766, 0.9767, 0.9768, 0.9769000000000001, 0.9770000000000001, 0.9771000000000001, 0.9772000000000001, 0.9773000000000001, 0.9774, 0.9775, 0.9776, 0.9777, 0.9778, 0.9779, 0.978, 0.9781, 0.9782, 0.9783, 0.9784, 0.9785, 0.9786, 0.9787, 0.9788, 0.9789000000000001, 0.9790000000000001, 0.9791000000000001, 0.9792000000000001, 0.9793000000000001, 0.9794, 0.9795, 0.9796, 0.9797, 0.9798, 0.9799, 0.98, 0.9801, 0.9802, 0.9803, 0.9804, 0.9805, 0.9806, 0.9807, 0.9808, 0.9809000000000001, 0.9810000000000001, 0.9811000000000001, 0.9812000000000001, 0.9813000000000001, 0.9814, 0.9815, 0.9816, 0.9817, 0.9818, 0.9819, 0.982, 0.9821, 0.9822, 0.9823, 0.9823999999999999, 0.9825, 0.9826, 0.9827, 0.9828, 0.9829, 0.9830000000000001, 0.9831000000000001, 0.9832000000000001, 0.9833000000000001, 0.9834, 0.9835, 0.9836, 0.9837, 0.9838, 0.9839, 0.984, 0.9841, 0.9842, 0.9843, 0.9843999999999999, 0.9845, 0.9846, 0.9847, 0.9848, 0.9849, 0.9850000000000001, 0.9851000000000001, 0.9852000000000001, 0.9853000000000001, 0.9854, 0.9855, 0.9856, 0.9857, 0.9858, 0.9859, 0.986, 0.9861, 0.9862, 0.9863, 0.9863999999999999, 0.9865, 0.9866, 0.9867, 0.9868, 0.9869, 0.9870000000000001, 0.9871000000000001, 0.9872000000000001, 0.9873000000000001, 0.9874, 0.9875, 0.9876, 0.9877, 0.9878, 0.9879, 0.988, 0.9881, 0.9882, 0.9883, 0.9884, 0.9885, 0.9886, 0.9887, 0.9888, 0.9889, 0.9890000000000001, 0.9891000000000001, 0.9892000000000001, 0.9893000000000001, 0.9894000000000001, 0.9895, 0.9896, 0.9897, 0.9898, 0.9899, 0.99, 0.9901, 0.9902, 0.9903, 0.9904, 0.9905, 0.9906, 0.9907, 0.9908, 0.9909, 0.9910000000000001, 0.9911000000000001, 0.9912000000000001, 0.9913000000000001, 0.9914000000000001, 0.9915, 0.9916, 0.9917, 0.9918, 0.9919, 0.992, 0.9921, 0.9922, 0.9923, 0.9924, 0.9925, 0.9926, 0.9927, 0.9928, 0.9929, 0.9930000000000001, 0.9931000000000001, 0.9932000000000001, 0.9933000000000001, 0.9934000000000001, 0.9935, 0.9936, 0.9937, 0.9938, 0.9939, 0.994, 0.9941, 0.9942, 0.9943, 0.9944, 0.9945, 0.9946, 0.9947, 0.9948, 0.9949, 0.9950000000000001, 0.9951000000000001, 0.9952000000000001, 0.9953000000000001, 0.9954000000000001, 0.9955, 0.9956, 0.9957, 0.9958, 0.9959, 0.996, 0.9961, 0.9962, 0.9963, 0.9964, 0.9964999999999999, 0.9966, 0.9967, 0.9968, 0.9969, 0.997, 0.9971000000000001, 0.9972000000000001, 0.9973000000000001, 0.9974000000000001, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9984999999999999, 0.9986, 0.9987, 0.9988, 0.9989, 0.999, 0.9991000000000001, 0.9992000000000001, 0.9993000000000001, 0.9994000000000001, 0.9995, 0.9996, 0.9997, 0.9998, 0.9999, 1.0], \\\"y\\\": [0.8981465076852975, 0.8981127299494186, 0.8980789522135397, 0.8980451744776607, 0.8980113967417819, 0.897977619005903, 0.8979438412700241, 0.8979100635341453, 0.8978762857982664, 0.897871171384478, 0.897881991935009, 0.8978928124855396, 0.8979036330360706, 0.8979144535866013, 0.8979252741371322, 0.8979360946876629, 0.8979469152381938, 0.8979582739100789, 0.8979702095246447, 0.8979820702382119, 0.8979939309517788, 0.8980057916653459, 0.898017652378913, 0.89802951309248, 0.8980413738060471, 0.8980532345196142, 0.8980650952331812, 0.8980769559467483, 0.8980888166603154, 0.8981006773738824, 0.8981132481563395, 0.8981268504901004, 0.8981427606233516, 0.8981586707566029, 0.8981745808898542, 0.8981904910231053, 0.8982064011563566, 0.8982223112896079, 0.8982374528237724, 0.8982490945900514, 0.8982584506161201, 0.898265308344312, 0.8982721660725042, 0.898279023800696, 0.898285881528888, 0.8982927392570799, 0.898299596985272, 0.8983064794974278, 0.8983145589560335, 0.8983247763616998, 0.8983360644373843, 0.898347352513069, 0.8983586405887536, 0.8983699286644381, 0.8983812167401226, 0.8983925048158072, 0.8984012402778293, 0.8984086588807938, 0.8984160774837582, 0.8984234960867226, 0.8984327461481363, 0.8984442828814616, 0.898455667116367, 0.8984660837211544, 0.8984765003259418, 0.8984869169307295, 0.8984973335355169, 0.8985077501403044, 0.8985181667450919, 0.8985285833498793, 0.8985389999546668, 0.8985494165594543, 0.8985598331642418, 0.8985704607604981, 0.8985855774421443, 0.8986021242147176, 0.8986186709872909, 0.8986352177598642, 0.8986521620936654, 0.8986688945675189, 0.8986856270413723, 0.8987023595152258, 0.8987190919890793, 0.8987358244629327, 0.8987525569367862, 0.8987692894106396, 0.8987860218844932, 0.8987780135620962, 0.8987102798116405, 0.8986258318628418, 0.8985400034941506, 0.8984406677184886, 0.898218917232271, 0.8980574427770326, 0.8979756775019606, 0.8978939122268887, 0.8978121469518165, 0.897744550696287, 0.8977450024829834, 0.8977454542696799, 0.8977459060563764, 0.8977496806676406, 0.8977629754250221, 0.8977762701824037, 0.8977895649397853, 0.8978033743249939, 0.8978114504395255, 0.8978137568868443, 0.8978160633341633, 0.8978183697814823, 0.8978206762288011, 0.8978229826761202, 0.8978252891234391, 0.897827595570758, 0.8978316111203348, 0.8978449330182134, 0.8978582549160921, 0.897871778541669, 0.8978861211628868, 0.8979004637841044, 0.8979148064053221, 0.8979298259579098, 0.8979449669801267, 0.8979600778583443, 0.8979751887365619, 0.8979902996147795, 0.8980054104929972, 0.8980205213712149, 0.8980356322494325, 0.8980507431276501, 0.898065746087608, 0.898080663108902, 0.8980843014821458, 0.8980788556747805, 0.8980747479295903, 0.8980706401844001, 0.8980665324392099, 0.8980624246940196, 0.8980583169488293, 0.898054209203639, 0.8980501014584488, 0.8980459937132586, 0.8980529013993617, 0.8980608254266531, 0.8980687494539444, 0.8980766734812358, 0.8980845975085271, 0.8980925215358184, 0.8981004455631098, 0.8981082757334115, 0.8981156296612556, 0.8981301162032074, 0.8981446769792729, 0.8981592377553383, 0.8981737985314038, 0.8981883593074693, 0.8982029200835348, 0.8982163484301507, 0.898227092018999, 0.8982378356078471, 0.8982485791966952, 0.898259186644798, 0.8982666691471957, 0.8982741516495933, 0.8982818114132612, 0.8982895012254748, 0.8982971910376883, 0.8983048808499019, 0.8983125706621153, 0.8983199623331131, 0.8983263391720584, 0.898332716011004, 0.8983371723604048, 0.8983385693475409, 0.898339966334677, 0.8983413633218131, 0.8983427603089493, 0.8983441572960855, 0.8983455542832217, 0.8983492617770468, 0.898356588091455, 0.8983638394387352, 0.8983710907860154, 0.8983783421332956, 0.8983855934805758, 0.8983928448278561, 0.8984000961751364, 0.8984073340847933, 0.8984145265918639, 0.8984217190989348, 0.898427305817066, 0.8984303559966946, 0.8984334061763234, 0.898436456355952, 0.8984395065355807, 0.8984431920906726, 0.8984524471897155, 0.8984610270221595, 0.8984685756087869, 0.8984761241954142, 0.8984830133543507, 0.8984861805099109, 0.8984893476654714, 0.8984925148210317, 0.8984956819765919, 0.8985006834857591, 0.8985058200457237, 0.8985109566056884, 0.8985160931656531, 0.8985210818710521, 0.8985259513976089, 0.8985308209241658, 0.8985356626526497, 0.8985309630403081, 0.8985262634279663, 0.8985215638156245, 0.8985168642032828, 0.8985121645909412, 0.8985074649785993, 0.8985027653662577, 0.8984980657539159, 0.8984933661415742, 0.8984918753096849, 0.8984968982162849, 0.8985094831845616, 0.8985220681528383, 0.8985346531211151, 0.8985472380893919, 0.8985598230576687, 0.898573285520869, 0.8985875486919885, 0.898595568566011, 0.8985980505180402, 0.8986005324700694, 0.8986030144220987, 0.8986054963741279, 0.8986079783261572, 0.8986104602781865, 0.8986129422302157, 0.898615424182245, 0.8986135513623048, 0.8986094469837179, 0.898604773257021, 0.8985997989282912, 0.8985948245995616, 0.8985906140859483, 0.8985865771585166, 0.8985825402310849, 0.8985785033036531, 0.8985744663762212, 0.8985704294487895, 0.8985663925213577, 0.8985623555939259, 0.898559979551512, 0.8985688137204596, 0.8985803875383347, 0.8985932285959042, 0.8986060696534737, 0.8986189107110432, 0.8986317517686127, 0.8986444722347324, 0.8986565465151057, 0.8986686207954792, 0.8986806950758525, 0.8986927693562259, 0.8987048436365992, 0.8987157722415272, 0.8987266631706331, 0.8987375540997391, 0.8987455582444124, 0.898753317979456, 0.8987610777144996, 0.8987688374495435, 0.8987764626987377, 0.8987825034160712, 0.8987887867170206, 0.8987950700179697, 0.898801353318919, 0.8988076366198682, 0.8988139199208174, 0.8988202032217666, 0.8988264865227158, 0.8988327698236651, 0.8988390531246142, 0.8988456592039262, 0.8988540989917028, 0.8988625387794793, 0.898870978567256, 0.8988794183550326, 0.8988878581428092, 0.8988962979305859, 0.8989047377183625, 0.898913177506139, 0.8989216324795766, 0.8989315526794184, 0.898929765924362, 0.8989276492393388, 0.8989255325543155, 0.8989234158692923, 0.898921299184269, 0.8989002446128722, 0.8988702209909258, 0.8988401973689795, 0.8988101737470331, 0.8987801501250867, 0.8987501265031403, 0.898720102881194, 0.8986900792592475, 0.8986600556373011, 0.8986412120496778, 0.898638073081157, 0.8986349341126361, 0.8986317951441152, 0.8986286561755943, 0.8986255172070734, 0.8986223782385525, 0.8986192392700316, 0.8986161003015107, 0.8986129613329898, 0.8986208929300221, 0.8986237945588842, 0.8986266961877463, 0.8986295978166083, 0.8986324994454705, 0.8986326776790314, 0.8986305348299788, 0.8986283919809259, 0.8986105541932536, 0.8985751104875883, 0.8985396667819229, 0.8985042230762577, 0.8984687793705922, 0.8984342518830944, 0.8984018596914507, 0.8983694674998071, 0.8983370753081634, 0.8983231352311147, 0.8983206512665649, 0.8983168446506437, 0.8983130380347223, 0.898309231418801, 0.8983054248028799, 0.8983016181869585, 0.8982978115710374, 0.898294004955116, 0.8982894500477039, 0.8982820135019971, 0.8982870207483977, 0.8982945466632458, 0.8983020725780939, 0.8983095984929419, 0.8983022296888945, 0.8982921749592612, 0.8982878375982907, 0.8982930581919522, 0.8983050450783078, 0.8983170319646634, 0.8983290188510191, 0.8983410057373749, 0.8983535911721858, 0.8983663010178968, 0.8983790108636078, 0.8983917207093189, 0.89840443055503, 0.898417140400741, 0.898429850246452, 0.8984425600921631, 0.8984552699378742, 0.8984679797835853, 0.8984806896292963, 0.8984933994750073, 0.8984937992125384, 0.8984854957300987, 0.8984771922476592, 0.8984688887652196, 0.89846058528278, 0.8984522818003404, 0.8984439783179009, 0.8984356748354613, 0.8984273713530218, 0.8984249196716807, 0.8984281088720487, 0.8984312980724165, 0.8984344872727845, 0.8984376764731523, 0.8984408656735201, 0.8984440548738881, 0.8984472440742559, 0.8984504332746238, 0.8984536224749917, 0.8984568116753595, 0.8984600008757275, 0.8984627873269782, 0.8984645629948043, 0.8984663386626304, 0.8984681143304566, 0.8984702739219186, 0.8984728560945421, 0.8984754382671654, 0.8984780204397886, 0.898480602612412, 0.8984831847850354, 0.8984857669576587, 0.898488349130282, 0.8984909313029055, 0.8984935134755287, 0.898496095648152, 0.8984990114280271, 0.8985023782188378, 0.8985057450096485, 0.8985101043160757, 0.898514566632411, 0.8985190289487465, 0.8985150596094609, 0.8985094366807377, 0.8985038137520145, 0.8984981908232913, 0.8984907218188353, 0.8984739766974037, 0.8984572315759721, 0.8984404864545406, 0.898423741333109, 0.8984069962116774, 0.8983907167380543, 0.8983847141663279, 0.8983787115946016, 0.8983727090228752, 0.8983667064511489, 0.8983607038794226, 0.8983572715015422, 0.8983599171676935, 0.8983625628338447, 0.898365208499996, 0.8983695791703622, 0.8983746207228118, 0.8983796622752613, 0.8983847038277109, 0.8983915572578939, 0.8983992261963032, 0.8984068951347126, 0.898414564073122, 0.8984222330115313, 0.8984299019499409, 0.8984361635154581, 0.8984294374630677, 0.8984227114106774, 0.8984159853582872, 0.898409259305897, 0.8984025332535067, 0.8983805404161387, 0.8983476766387601, 0.8983148128613818, 0.8982819490840034, 0.898251832723727, 0.8982370919192787, 0.8982252842581344, 0.8982154416431575, 0.8982055990281805, 0.8981957564132036, 0.8981859137982267, 0.8981779983258302, 0.8981713042740067, 0.8981688511381722, 0.8981712327691604, 0.8981736144001486, 0.898175996031137, 0.8981783776621253, 0.8981809536020307, 0.8981837214979913, 0.8981864893939517, 0.8981892572899124, 0.898192025185873, 0.8981947930818336, 0.8981975609777941, 0.8982000902557756, 0.898202496531809, 0.8982054530907997, 0.898212252176794, 0.89819852063324, 0.8981683846260388, 0.8981382486188374, 0.8981081126116361, 0.8980779766044349, 0.8980726969633528, 0.8980796278430665, 0.8980841848143387, 0.8980704465074334, 0.898056708200528, 0.8980429698936226, 0.8980292315867172, 0.8980154932798119, 0.8980034523482159, 0.8979917970912812, 0.8979801418343464, 0.8979695355357833, 0.8979767985322366, 0.8979845486123037, 0.8979922986923707, 0.8980000487724378, 0.8980077988525048, 0.8980155489325721, 0.8980232990126391, 0.8980273588457304, 0.8980311129734986, 0.8980348671012669, 0.8980382852071398, 0.8980414419046121, 0.8980454308219579, 0.8980495133640256, 0.8980535959060936, 0.8980576784481613, 0.898061760990229, 0.8980658435322968, 0.8980699260743645, 0.898076631743607, 0.8980870650612458, 0.8980974983788845, 0.8981079316965234, 0.898114551529421, 0.8981206513753877, 0.8981263143500414, 0.8981285222441379, 0.8981307301382344, 0.8981329380323309, 0.8981351459264273, 0.8981373538205237, 0.8981395617146202, 0.8981417696087166, 0.898143977502813, 0.8981461853969095, 0.8981454891832852, 0.8981408814172892, 0.8981362736512932, 0.8981316658852974, 0.8981269690937213, 0.898118781410955, 0.8981105937281888, 0.8981024060454224, 0.8980942183626561, 0.8980875252633888, 0.8980820016928337, 0.8980764781222785, 0.8980709545517235, 0.8980654309811684, 0.8980599074106133, 0.8980543838400582, 0.898048860269503, 0.8980497535469042, 0.8980510672338207, 0.8980539651878054, 0.8980579095215871, 0.8980618538553687, 0.8980657981891503, 0.8980697425229319, 0.8980736868567136, 0.8980776311904952, 0.8980815755242767, 0.8980855198580584, 0.89808946419184, 0.8980968714920811, 0.8981067544201141, 0.898118130162801, 0.8981295059054875, 0.8981408816481742, 0.8981522573908608, 0.8981636331335474, 0.8981750088762341, 0.8981757151906212, 0.8981646565727917, 0.8981535979549621, 0.8981425393371325, 0.898131480719303, 0.8981204221014734, 0.8981093634836439, 0.8981026644399964, 0.8980995644557657, 0.8980964644715348, 0.8980956554556829, 0.8980981731954004, 0.8981019971818904, 0.8981082614065002, 0.89811452563111, 0.8981207898557199, 0.8981270540803298, 0.8981333183049396, 0.8981395825295494, 0.8981458467541592, 0.8981505571447974, 0.8981521562729806, 0.8981525638278368, 0.8981529713826929, 0.8981533789375491, 0.8981537864924052, 0.8981541940472614, 0.8981546016021174, 0.8981550091569737, 0.8981555190828585, 0.8981585275743071, 0.8981664288716946, 0.8981743301690821, 0.8981822314664696, 0.8981901327638571, 0.8981980340612445, 0.898205935358632, 0.8982138366560195, 0.898221737953407, 0.8982296392507945, 0.8982355522221906, 0.8982397189111895, 0.8982470167787684, 0.8982543146463473, 0.898261612513926, 0.8982689103815049, 0.8982762082490838, 0.8982835061166626, 0.8982910714621951, 0.898299596780967, 0.8983081220997391, 0.8983166474185111, 0.8983251727372832, 0.8983283313333847, 0.8983305494307113, 0.8983327675280377, 0.8983349856253642, 0.8983372037226907, 0.8983394218200171, 0.8983416399173434, 0.8983483438055303, 0.8983583854494012, 0.8983695815107835, 0.898380777572166, 0.8983919736335482, 0.8984031696949306, 0.898414365756313, 0.8984166841003427, 0.8984097761731691, 0.8984028682459956, 0.8983949459084868, 0.8983980859898038, 0.8984050070974399, 0.898411928205076, 0.8984188493127121, 0.8984257704203483, 0.8984319733516066, 0.8984373552775728, 0.8984427372035392, 0.8984481191295054, 0.8984535010554715, 0.8984662282965475, 0.8984792967067303, 0.898492365116913, 0.8985054335270959, 0.8985185019372787, 0.8985179874509635, 0.8985161658661278, 0.8985118689327161, 0.8984830488332761, 0.8984542287338361, 0.8984305337747998, 0.8984166895374257, 0.8984028453000518, 0.8984021000386284, 0.8984104817185478, 0.8984188633984672, 0.8984279580315668, 0.8984385412830025, 0.8984491245344379, 0.8984597077858736, 0.8984702910373092, 0.8984808742887448, 0.8984858212231872, 0.8984891522071359, 0.8984924831910844, 0.8984958141750331, 0.8984991451589817, 0.8985024761429303, 0.898505807126879, 0.8985081358145046, 0.8985105179974361, 0.8985141472886314, 0.8985177765798267, 0.898521405871022, 0.8985250351622174, 0.8985286644534127, 0.8985322937446081, 0.8985359230358034, 0.8985395523269988, 0.8985423425485897, 0.8985435721573514, 0.8985448017661133, 0.8985460313748751, 0.8985472609836369, 0.8985484905923987, 0.8985511212581894, 0.8985556607953371, 0.898560236195366, 0.8985654579249673, 0.8985706796545688, 0.8985778550832771, 0.8985858385197124, 0.8985938219561476, 0.8986018053925828, 0.8986078793356131, 0.898613602140244, 0.8986193249448746, 0.8986250477495055, 0.8986345740548136, 0.898644126846048, 0.8986536796372824, 0.8986621421320238, 0.8986651146530651, 0.8986680871741065, 0.8986710596951479, 0.8986740322161894, 0.8986765529524754, 0.8986804727457399, 0.8986847785667997, 0.8986890843878594, 0.8986933902089191, 0.898697696029979, 0.8987020018510388, 0.8987063076720985, 0.8987106134931583, 0.8987149193142181, 0.8987192251352778, 0.8987235309563375, 0.8987278367773974, 0.8987346575812672, 0.8987411724575045, 0.898742866337983, 0.8987445602184615, 0.8987422966304619, 0.8987369422407512, 0.8987315878510406, 0.89872623346133, 0.8987208790716192, 0.8987268584708804, 0.89873417585173, 0.8987414932325795, 0.8987488106134289, 0.8987561279942786, 0.8987634453751281, 0.8987707627559776, 0.898778080136827, 0.8987853975176767, 0.8987927148985262, 0.8987996601920106, 0.8988065750949966, 0.8988134506496684, 0.8988203262043404, 0.8988272017590121, 0.898834077313684, 0.8988409528683559, 0.8988478284230277, 0.8988547039776995, 0.8988615795323713, 0.8988684550870432, 0.898875330641715, 0.8988822061963868, 0.8988808401263026, 0.8988799681245045, 0.8988797800336843, 0.898879591942864, 0.8988794038520438, 0.8988792157612236, 0.8988790276704033, 0.8988788395795831, 0.8988786112972273, 0.898877265682614, 0.8988759200680005, 0.8988745744533871, 0.8988732288387736, 0.8988661388218989, 0.8988500325532883, 0.8988339262846776, 0.8988191010746918, 0.8988059561305413, 0.8987915232140311, 0.8987765730275221, 0.8987616228410131, 0.8987466726545044, 0.8987317224679954, 0.8987167722814864, 0.8987018220949775, 0.8986868719084686, 0.8986719217219596, 0.8986569715354507, 0.8986420213489417, 0.8986270711624329, 0.8986069158639711, 0.8985761720168046, 0.8985454906138712, 0.898514809210938, 0.8984841278080047, 0.898458292486086, 0.8984578627991435, 0.8984590415379191, 0.8984650085263941, 0.8984709755148691, 0.8984769425033441, 0.898482909491819, 0.8984888764802941, 0.898494843468769, 0.898503385536763, 0.8985137338630391, 0.8985240821893152, 0.8985277156326972, 0.8985057451018503, 0.8984837745710031, 0.8984774208181419, 0.8984886961276186, 0.8985008408943043, 0.8985132742251751, 0.8985257075560462, 0.8985381408869173, 0.8985505742177883, 0.8985630075486593, 0.8985754408795302, 0.8985878742104012, 0.8986003075412723, 0.898609206050391, 0.8986118867140602, 0.8986126854909953, 0.8986134842679303, 0.8986142830448653, 0.8986150818218005, 0.8986130380350057, 0.8986066771170834, 0.8986029918132918, 0.8985993065095003, 0.8985956212057087, 0.898591935901917, 0.8985882505981254, 0.8985823113807587, 0.8985706809568357, 0.8985646786614838, 0.8985614414713862, 0.8985582042812885, 0.8985549670911909, 0.8985517299010932, 0.8985484927109957, 0.8985452555208979, 0.8985420183308004, 0.8985376587420195, 0.8985324256677444, 0.898527192593469, 0.8985219595191938, 0.8985167264449185, 0.898521441502084, 0.8985276761643088, 0.8985339108265336, 0.8985401729628235, 0.8985491101193327, 0.8985580472758418, 0.898566984432351, 0.89857592158886, 0.8985848587453691, 0.8985937959018783, 0.8986027330583873, 0.8986116702148965, 0.8986206073714056, 0.8986295445279147, 0.8986384816844238, 0.8986490379396521, 0.8986605434722417, 0.8986720490048312, 0.8986835545374208, 0.8986950600700103, 0.8987065656025999, 0.8987180711351894, 0.898729576667779, 0.8987414129427826, 0.8987546330405087, 0.8987678531382348, 0.8987810732359609, 0.898794293333687, 0.8988075134314131, 0.8988207335291392, 0.8988348709437672, 0.8988471172253865, 0.8988592590186082, 0.8988714008118301, 0.898883542605052, 0.8988956843982738, 0.8989076166955899, 0.8989168818193946, 0.8989261469431991, 0.8989354120670037, 0.8989446771908082, 0.8989539423146127, 0.8989632074384173, 0.8989724725622218, 0.898980876718281, 0.8989733772246353, 0.8989626937339475, 0.8989520102432598, 0.898941326752572, 0.8989306432618842, 0.8989199597711964, 0.8989092762805087, 0.8988985927898208, 0.8988932830314531, 0.8988976877212261, 0.8989062417218425, 0.898914795722459, 0.8989233497230753, 0.8989319037236918, 0.8989404577243083, 0.8989490117249246, 0.8989575657255411, 0.8989661197261574, 0.8989746737267739, 0.8989832277273904, 0.8989917817280066, 0.8990003357286231, 0.8990088897292395, 0.8990174437298559, 0.8990259977304724, 0.8990345517310888, 0.8990434168745918, 0.8990531330725882, 0.8990629012543574, 0.8990734509575538, 0.8990840006607499, 0.899094550363946, 0.8991051000671422, 0.8991156497703383, 0.8991261994735346, 0.8991367491767308, 0.899147298879927, 0.8991578485831231, 0.8991710836230304, 0.8991845243124649, 0.8991979650018993, 0.8992098018014563, 0.8992209015781849, 0.8992320013549137, 0.8992431011316424, 0.8992542009083712, 0.8992653006850999, 0.8992764004618287, 0.8992875002385574, 0.8992970269862604, 0.8993034478347164, 0.8993043112646424, 0.8993051746945682, 0.899306038124494, 0.8993069015544198, 0.8993077649843457, 0.8993086284142715, 0.8993094918441974, 0.8993103552741232, 0.8993112187040491, 0.8993151525055141, 0.8993203062882545, 0.899325460070995, 0.8993306138537356, 0.899335767636476, 0.8993413298944717, 0.8993470223765707, 0.8993527148586697, 0.8993584073407688, 0.8993640998228678, 0.8993689281965878, 0.8993728101123055, 0.8993766920280232, 0.8993817914001013, 0.8993872560164992, 0.8993927206328969, 0.8993981852492947, 0.8994036498656924, 0.8994091144820902, 0.899414579098488, 0.8994200437148858, 0.8994255083312835, 0.8994309729476814, 0.89943756263778, 0.8994447257034559, 0.8994518887691315, 0.8994590518348073, 0.8994650212016304, 0.8994693003938399, 0.8994735795860493, 0.8994778587782587, 0.899482137970468, 0.8994864171626774, 0.8994889614374714, 0.8994797623597266, 0.8994705632819818, 0.8994613642042371, 0.8994521651264924, 0.8994471184009806, 0.8994481694530718, 0.899449220505163, 0.8994502715572541, 0.8994513226093452, 0.8994523736614365, 0.8994534247135277, 0.8994580754705973, 0.8994565128389044, 0.899454700777697, 0.8994559984121266, 0.8994610828552911, 0.8994661672984554, 0.8994668105485697, 0.8994660009455222, 0.8994651913424747, 0.8994643817394272, 0.8994635721363797, 0.8994627625333322, 0.8994619529302847, 0.8994611433272373, 0.8994603337241898, 0.8994595241211423, 0.8994587145180948, 0.8994579049150473, 0.8994632453305902, 0.8994685981972856, 0.8994739510639811, 0.8994793039306765, 0.8994846567973722, 0.8994900096640677, 0.8994959359733897, 0.8995023438897727, 0.8995087518061556, 0.8995151597225385, 0.8995215676389214, 0.8995279755553044, 0.8995343834716872, 0.8995407913880703, 0.8995471993044531, 0.8995494361153464, 0.8995485999151207, 0.8995474899326692, 0.8995463799502177, 0.8995452699677662, 0.8995441599853149, 0.8995430500028634, 0.8995419400204119, 0.8995408300379605, 0.899539720055509, 0.8995466001257411, 0.8995545940407702, 0.8995575912213751, 0.8995600710494587, 0.8995625508775421, 0.8995650307056255, 0.8995666578025343, 0.8995651449468833, 0.8995636320912324, 0.8995621192355814, 0.8995606063799304, 0.8995530122144991, 0.8995438092827347, 0.8995346063509703, 0.899525403419206, 0.8995288684683873, 0.8995327545686453, 0.8995346862788707, 0.899533548000141, 0.8995324097214112, 0.8995312714426817, 0.899530133163952, 0.8995289948852223, 0.8995278566064926, 0.8995267183277629, 0.8995255800490333, 0.8995244417703037, 0.8995218146780112, 0.8995143509946684, 0.8995071494846025, 0.8995021830598645, 0.8994972166351265, 0.8994922502103886, 0.8994872837856505, 0.8994823173609126, 0.8994773509361744, 0.8994723845114365, 0.8994678150208089, 0.8994692372458643, 0.8994715761636628, 0.8994780598407619, 0.899484543517861, 0.8994910271949601, 0.8994975108720593, 0.8995039945491583, 0.8995104782262575, 0.8995169619033565, 0.8995196947278334, 0.8995205693999695, 0.8995231479419222, 0.899525726483875, 0.8995283050258277, 0.8995308835677804, 0.8995334621097332, 0.8995367810057557, 0.8995430601777503, 0.8995493393497449, 0.8995556185217394, 0.8995618976937341, 0.8995681768657285, 0.8995744560377232, 0.8995807352097177, 0.8995844443365004, 0.8995894399924076, 0.8995958571317718, 0.8996022742711361, 0.8996086914105004, 0.8996151085498647, 0.8996215256892289, 0.8996279428285933, 0.8996348009118247, 0.8996435937895688, 0.8996523866673131, 0.8996611795450571, 0.8996699724228013, 0.8996787653005454, 0.8996875581782895, 0.8996963510560336, 0.8997003757164462, 0.8997027063104578, 0.8997050369044692, 0.8997073674984808, 0.8997096980924921, 0.8997120286865037, 0.899714359280515, 0.8997173597808433, 0.8997205938401149, 0.8997252101601066, 0.8997303965186456, 0.8997355828771845, 0.8997407692357233, 0.8997459555942622, 0.899751141952801, 0.89975632831134, 0.8997615146698787, 0.8997667010284177, 0.8997718873869567, 0.8997765493145181, 0.8997799389866665, 0.899783328658815, 0.8997867183309636, 0.8997901080031121, 0.8997934976752606, 0.899796887347409, 0.8998002770195574, 0.8998036666917061, 0.8998070563638545, 0.899810446036003, 0.8998065450023971, 0.8998018005582629, 0.8997981538555473, 0.8997946770786753, 0.8997912003018032, 0.8997877235249312, 0.899784246748059, 0.8997807699711868, 0.8997784002363606, 0.8997765193165215, 0.8997746383966824, 0.8997728843811031, 0.8997773824939337, 0.8997818806067641, 0.8997863787195947, 0.8997933943659795, 0.8998012790726934, 0.8998091637794072, 0.8998170484861212, 0.8998249331928352, 0.8998328178995492, 0.8998317727419365, 0.8998263367643184, 0.8998183473838877, 0.8998119583205212, 0.8998055692571547, 0.8997991801937882, 0.8997927911304218, 0.8997864020670553, 0.8997800130036888, 0.8997736239403225, 0.8997672348769559, 0.8997608458135895, 0.8997544567502229, 0.8997392134704507, 0.8997270987500974, 0.8997183531680539, 0.8997096075860104, 0.8997008620039668, 0.8996921164219233, 0.8996833708398797, 0.8996746252578363, 0.8996658796757927, 0.8996571340937491, 0.899650970074537, 0.8996577872429115, 0.8996646044112857, 0.8996714215796602, 0.8996784912844271, 0.8996873716591627, 0.8996962520338985, 0.899705132408634, 0.8997140127833697, 0.8997228931581054, 0.899731773532841, 0.8997406539075767, 0.8997495342823123, 0.8997583270980098, 0.8997642467088474, 0.8997616013301188, 0.8997589559513904, 0.899756310572662, 0.8997536651939336, 0.8997510198152052, 0.8997483744364769, 0.8997457290577485, 0.8997404841997303, 0.8997372211292369, 0.8997350470366879, 0.8997328729441392, 0.8997372782091624, 0.8997429017020045, 0.8997485251948467, 0.899754148687689, 0.8997597721805312, 0.8997653956733734, 0.8997710191662156, 0.8997766426590579, 0.8997676031360087, 0.8997573296410165, 0.8997470561460241, 0.8997512054760259, 0.8997588729120366, 0.8997665403480472, 0.8997742077840578, 0.8997818752200684, 0.8997895426560789, 0.8997972100920895, 0.8998059040424345, 0.8998149470714369, 0.8998239901004393, 0.8998330331294417, 0.8998420761584442, 0.8998511191874466, 0.8998601577695954, 0.8998691198567241, 0.899878081943853, 0.8998870440309817, 0.8998928845085196, 0.8998742153128196, 0.8998555461171196, 0.8998368769214196, 0.8998182077257195, 0.8997995385300195, 0.8997799330550427, 0.8997601639309369, 0.899740394806831, 0.899720625682725, 0.8997008565586191, 0.8996810874345132, 0.8996715604863657, 0.8996786265334094, 0.8996856925804532, 0.8996906954724262, 0.8996917676672231, 0.8996928398620202, 0.8996939120568173, 0.8996945225667603, 0.8996932385468392, 0.8996919545269182, 0.8996906705069971, 0.8996876978445869, 0.8996811579235897, 0.8996746180025925, 0.8996680780815954, 0.8996615381605981, 0.8996588687808489, 0.8996602452519435, 0.8996616217230383, 0.8996629981941332, 0.899664374665228, 0.8996654703195333, 0.899661292490596, 0.8996571146616585, 0.8996529368327213, 0.8996487590037838, 0.8996445811748465, 0.8996404033459091, 0.8996362255169719, 0.8996320476880344, 0.899627869859097, 0.8996248694156168, 0.8996299045265328, 0.8996349396374489, 0.8996388169154128, 0.8996426344166325, 0.8996464519178522, 0.899650269419072, 0.8996540869202917, 0.8996579044215114, 0.8996617219227312, 0.899665539423951, 0.8996693569251707, 0.8996722072826997, 0.8996769866222171, 0.8996832891531734, 0.8996895916841297, 0.8996958942150859, 0.8997021967460423, 0.8997084992769986, 0.899711423977985, 0.899714043860671, 0.8997166637433571, 0.8997192836260431, 0.8997219035087292, 0.8997245233914153, 0.8997267999774623, 0.8997181897163333, 0.8997118683077139, 0.8997070654200545, 0.8997022625323952, 0.8996974596447358, 0.8996926567570764, 0.8996878538694171, 0.8996830509817577, 0.8996816793704355, 0.8996834449678659, 0.8996852105652964, 0.8996869761627267, 0.8996887417601571, 0.8996905073575876, 0.8996922729550179, 0.8996944698672305, 0.899699043056218, 0.8997037063283206, 0.8997083696004233, 0.8997130328725259, 0.8997176961446285, 0.8997223594167312, 0.8997270226888339, 0.8997295483938383, 0.8997314767485545, 0.8997334051032706, 0.8997353334579865, 0.8997372618127025, 0.8997400241036894, 0.8997448567439497, 0.8997496893842102, 0.8997545220244706, 0.8997593546647311, 0.8997640508462796, 0.8997685754665454, 0.8997731000868114, 0.8997776247070772, 0.8997820489703958, 0.899786465983159, 0.8997908829959224, 0.8997953000086857, 0.8997997170214489, 0.8998041340342122, 0.8998085510469754, 0.8998129680597386, 0.899817385072502, 0.8998218020852653, 0.8998245677967323, 0.8998250789802615, 0.899825590163791, 0.8998261013473206, 0.8998266125308501, 0.8998276023408163, 0.8998293594416851, 0.899831116542554, 0.8998328736434228, 0.8998346307442915, 0.8998363878451604, 0.8998381449460293, 0.8998399020468981, 0.8998420309069874, 0.8998474714781175, 0.8998518289708457, 0.8998506854436613, 0.8998495419164767, 0.8998483983892922, 0.8998472548621077, 0.8998461113349232, 0.8998449678077387, 0.8998438242805542, 0.8998438810183924, 0.8998487196189306, 0.8998535582194689, 0.8998583968200071, 0.8998632354205454, 0.8998680740210836, 0.8998746203427208, 0.8998815697043494, 0.899888519065978, 0.8998954684276066, 0.8999024177892353, 0.8999093671508639, 0.8999163165124926, 0.8999232658741212, 0.8999285042174128, 0.8999336100088485, 0.8999387158002843, 0.8999438215917202, 0.899948927383156, 0.8999521632126863, 0.8999548897203276, 0.8999576162279688, 0.8999603427356098, 0.8999630692432511, 0.8999657957508922, 0.8999686514103218, 0.8999744945148402, 0.8999803376193587, 0.8999861807238771, 0.8999920238283956, 0.8999955861150157, 0.8999965308211999, 0.8999950921591611, 0.899993653497122, 0.899992214835083, 0.8999907761730439, 0.8999893375110048, 0.8999878988489659, 0.899986460186927, 0.899985021524888, 0.899983582862849, 0.8999821442008099, 0.899980705538771, 0.8999792668767319, 0.8999778282146929, 0.8999766146690322, 0.899980222909357, 0.8999841625049856, 0.8999881021006143, 0.8999920416962429, 0.8999959812918716, 0.8999997805973737, 0.9000034893030594, 0.900007198008745, 0.9000109067144306, 0.9000146154201163, 0.9000190512828957, 0.9000243807071848, 0.9000297101314738, 0.900035039555763, 0.900040368980052, 0.9000456984043412, 0.9000510278286302, 0.9000562306106134, 0.900061375643302, 0.9000665206759908, 0.9000716436215277, 0.9000764511624666, 0.9000812587034055, 0.9000860662443444, 0.9000908737852833, 0.9000956813262222, 0.9001004888671612, 0.9001029492701869, 0.9001042699548596, 0.900102310953662, 0.9000944653301579, 0.9000866197066539, 0.90007877408315, 0.900070928459646, 0.9000636192595625, 0.9000613431382948, 0.9000590670170271, 0.9000567908957595, 0.9000545147744918, 0.9000522386532241, 0.9000499625319565, 0.9000584047340858, 0.9000681321412595, 0.9000778595484331, 0.9000875869556069, 0.9000973143627806, 0.9001070417699543, 0.9001105970114962, 0.900107126273952, 0.9001086008267778, 0.9001180144954832, 0.9001274281641884, 0.9001372947900814, 0.900147982960017, 0.9001586711299524, 0.9001693592998878, 0.9001800474698233, 0.9001907356397588, 0.9002014238096943, 0.9002121119796297, 0.9002228001495651, 0.9002334883195007, 0.9002394483743998, 0.9002416080480179, 0.9002401695568994, 0.9002387310657809, 0.9002372925746625, 0.900235854083544, 0.9002356026115534, 0.9002392237226153, 0.9002428448336772, 0.9002464659447391, 0.900250087055801, 0.9002537081668629, 0.9002573292779248, 0.9002609503889867, 0.9002645715000486, 0.9002681926111105, 0.9002735900215568, 0.9002831909510864, 0.9002927918806163, 0.9003025193357546, 0.900312041368245, 0.9003147772473401, 0.9003175131264353, 0.9003202490055304, 0.9003229848846255, 0.9003257207637205, 0.9003284566428157, 0.9003341322926096, 0.9003443963900334, 0.9003546604874572, 0.9003649022654343, 0.9003747868757377, 0.9003846714860411, 0.9003945560963442, 0.9004044407066476, 0.900414325316951, 0.9004242099272544, 0.9004340945375576, 0.9004439791478609, 0.9004528022837278, 0.9004594719993346, 0.9004687094821386, 0.9004779469649424, 0.9004802718562086, 0.900475455568917, 0.9004706392816253, 0.9004658229943336, 0.9004610067070419, 0.9004561904197502, 0.9004513741324585, 0.9004450954852755, 0.9004383013460291, 0.9004315072067829, 0.9004247130675366, 0.9004116267056312, 0.900399624737594, 0.9003876227695569, 0.9003756208015199, 0.9003636188334827, 0.9003516168654455, 0.9003396148974084, 0.9003276129293714, 0.9003156109613342, 0.9003039882482352, 0.9002971743723924, 0.9003074953233136, 0.9003187404023815, 0.9003299854814494, 0.9003412305605173, 0.9003524756395851, 0.900363720718653, 0.9003749657977209, 0.9003862108767888, 0.9003974559558567, 0.9004087010349247, 0.9004182132462, 0.9004268381851566, 0.9004354631241132, 0.900427054906972, 0.900432949455602, 0.900442948244109, 0.9004529470326157, 0.9004611015502679, 0.9004686787948214, 0.9004762560393746, 0.9004838332839282, 0.9004914105284816, 0.9004989877730349, 0.9005065650175883, 0.9005141422621417, 0.900521719506695, 0.9005275614774055, 0.9005331022931554, 0.9005386431089053, 0.9005433397278261, 0.9005457512901975, 0.900547959137791, 0.9005474353201861, 0.9005462028467405, 0.900544970373295, 0.9005437378998495, 0.900542505426404, 0.9005412729529585, 0.9005420409196249, 0.9005447841780794, 0.9005475274365339, 0.9005502706949884, 0.9005560083974231, 0.9005621661230967, 0.9005683238487705, 0.9005744815744441, 0.9005806393001179, 0.9005760962510726, 0.9005707474538276, 0.9005653986565825, 0.9005600498593376, 0.9005547010620923, 0.9005493522648473, 0.9005440034676023, 0.9005386546703573, 0.9005339017763498, 0.9005256799298234, 0.9005172737177967, 0.90050886750577, 0.9005004612937433, 0.9004920550817166, 0.90048364886969, 0.9004752426576634, 0.9004668364456367, 0.90045843023361, 0.9004493388358608, 0.9004392619551755, 0.90042918507449, 0.9004191081938047, 0.9004090313131192, 0.9003989544324338, 0.9003926792128356, 0.9003876975164746, 0.9003853060882903, 0.9003829146601058, 0.9003805232319213, 0.9003781318037368, 0.9003757403755523, 0.900373348947368, 0.9003709575191834, 0.900368566090999, 0.9003661746628145, 0.9003638224947387, 0.9003615350964604, 0.9003592476981821, 0.9003569602999038, 0.9003572579549668, 0.9003581583149296, 0.9003588934693254, 0.9003635126884544, 0.9003708312063928, 0.9003780605386014, 0.9003852898708102, 0.9003925192030189, 0.9003997485352275, 0.9004070767957524, 0.9004145934242895, 0.9004221100528266, 0.9004296266813636, 0.9004371433099007, 0.9004416786179815, 0.9004448047783196, 0.900447881019136, 0.9004509572599524, 0.9004540335007689, 0.9004571097415854, 0.900460185982402, 0.9004632622232184, 0.9004663384640349, 0.9004694147048514, 0.9004724909456678, 0.9004755671864844, 0.9004786434273008, 0.9004819725657383, 0.9004858764071979, 0.9004915617117524, 0.9004972470163067, 0.9005029323208612, 0.9005086176254156, 0.90051430292997, 0.9005199882345245, 0.9005279114732291, 0.9005361532979248, 0.9005443951226206, 0.9005526369473164, 0.9005563540943251, 0.9005588366387123, 0.9005605566356626, 0.9005622766326129, 0.9005637652126516, 0.9005567338284881, 0.9005497024443248, 0.9005426710601615, 0.900535639675998, 0.9005286082918347, 0.9005215769076713, 0.900514545523508, 0.9005075141393446, 0.9005004827551812, 0.9004982546163911, 0.9004991823867148, 0.9004994945337186, 0.9004998066807222, 0.900500118827726, 0.9005068891314812, 0.9005153529836367, 0.9005238168357921, 0.9005304953105067, 0.9005334657079164, 0.9005364361053261, 0.9005394065027359, 0.9005423769001456, 0.9005451160707052, 0.9005473960086072, 0.9005496759465094, 0.9005519558844113, 0.9005558385877989, 0.9005610829239505, 0.9005663124999684, 0.900571497092026, 0.9005766816840837, 0.9005818662761411, 0.9005870508681988, 0.9005922354602562, 0.9005974200523137, 0.9006027941102357, 0.9006082085088758, 0.9006136229075159, 0.9006123077495609, 0.9006088012414653, 0.9006052947333694, 0.9006017882252737, 0.9005982817171778, 0.9005947752090822, 0.9005912687009864, 0.9005884247421974, 0.9005874292003049, 0.9005864336584124, 0.90058543811652, 0.9005844425746276, 0.9005834470327351, 0.9005824514908427, 0.9005874704305052, 0.9005946951336432, 0.900601919836781, 0.9006091445399189, 0.9006161624276847, 0.9006112139293783, 0.9006062654310716, 0.9006013169327649, 0.9005969198999177, 0.9005935103143601, 0.9005901007288024, 0.9005866911432447, 0.9005832815576871, 0.9005798719721294, 0.9005764623865717, 0.9005698507168498, 0.9005616644019521, 0.9005534780870543, 0.9005452917721567, 0.900537105457259, 0.9005277946217249, 0.9005153231118641, 0.9005014589568583, 0.9004875948018524, 0.9004737306468464, 0.900467860226529, 0.9004683255159387, 0.9004687908053484, 0.900469256094758, 0.9004697213841676, 0.9004701866735771, 0.9004706519629868, 0.9004711172523965, 0.9004714515525685, 0.9004705132853517, 0.9004695750181351, 0.9004698313304704, 0.900470418121184, 0.9004710049118976, 0.9004715917026112, 0.9004748498180103, 0.9004802634283735, 0.9004856644051422, 0.9004910060860392, 0.900496347766936, 0.9005004772171074, 0.9004973606476901, 0.9004941432595142, 0.9004909258713383, 0.9004853079976819, 0.9004727631440879, 0.9004602182904939, 0.9004476734368998, 0.900442089414204, 0.9004382023667004, 0.9004332594487134, 0.9004283160801784, 0.9004233727116433, 0.9004205917786002, 0.9004189943877339, 0.9004173969968675, 0.9004157996060012, 0.9004142022151347, 0.9004126048242684, 0.900411007433402, 0.9004094100425356, 0.9004012721465793, 0.9003860054633857, 0.9003707387801922, 0.9003520678233378, 0.9003423445070866, 0.9003429418255693, 0.9003435391440522, 0.9003441364625351, 0.900344733781018, 0.900345331099501, 0.9003459284179838, 0.9003465257364667, 0.9003464965584842, 0.9003424957350807, 0.9003384949116771, 0.9003344940882735, 0.9003305205184353, 0.9003269671532701, 0.9003230704317471, 0.9003191737102242, 0.9003181795736288, 0.9003199897797232, 0.9003217999858174, 0.9003236101919118, 0.900325420398006, 0.9003272306041004, 0.9003263383853155, 0.9003248011053261, 0.9003232638253367, 0.9003217265453471, 0.90031161460561, 0.9002987107216649, 0.90028580683772, 0.9002729029537749, 0.9002599990698298, 0.9002470951858847, 0.9002341913019397, 0.9002212874179947, 0.9002083835340497, 0.9002022121066873, 0.9001970997184607, 0.9001917381143822, 0.9001890946016988, 0.9001966455094546, 0.9002041964172104, 0.9002117473249662, 0.9002192982327222, 0.900226849140478, 0.9002340379870856, 0.9002362614653665, 0.9002384849436476, 0.9002407084219286, 0.9002429319002097, 0.9002432781533997, 0.9002397389187622, 0.9002361996841246, 0.900232660449487, 0.9002291212148494, 0.9002262831767369, 0.9002240089748903, 0.9002217347730437, 0.9002194605711972, 0.9002171863693507, 0.9002149121675039, 0.9002126379656574, 0.9002103637638107, 0.9002075414748495, 0.9001972243710437, 0.9001869072672377, 0.900176590163432, 0.900166273059626, 0.9001559559558201, 0.9001456388520144, 0.9001369305376037, 0.9001388980089499, 0.900140865480296, 0.900142832951642, 0.9001448004229882, 0.9001467678943342, 0.9001497275803856, 0.9001552768857948, 0.9001608261912042, 0.9001663754966134, 0.9001627646252531, 0.9001677516321167, 0.9001734296620512, 0.9001791076919856, 0.9001847857219201, 0.9001904637518544, 0.9001921846273876, 0.9001934549834554, 0.900194725339523, 0.900188298980306, 0.9001788850073018, 0.9001694710342977, 0.9001600570612934, 0.9001511909324915, 0.9001503829439994, 0.9001495749555071, 0.900148766967015, 0.9001479589785226, 0.9001471509900305, 0.9001497200964259, 0.9001554087958864, 0.9001610974953467, 0.9001667861948073, 0.9001724748942677, 0.900178163593728, 0.9001861554241429, 0.9001948881321757, 0.9002036208402084, 0.9002092584733474, 0.9002086837390799, 0.9002081090048123, 0.9002075342705447, 0.9002069595362772, 0.9002063848020094, 0.9002058100677418, 0.9002052353334742, 0.9002046605992065, 0.9002040858649389, 0.9002035111306713, 0.9002021726702203, 0.9001861813302723, 0.9001688635683268, 0.9001487336271928, 0.9001270021666707, 0.9001052707061485, 0.9000948547386531, 0.9000915367082742, 0.9000925863243805, 0.9000939863866559, 0.900095397895346, 0.9000968143864438, 0.9000901095060083, 0.9000831983476114, 0.900066547432128, 0.9000498965166446, 0.9000332456011612, 0.9000165946856777, 0.8999999437701944, 0.8999832928547109, 0.8999678286432644, 0.8999550138658895, 0.8999421990885146, 0.8999293843111396, 0.8999165695337645, 0.8999037547563896, 0.8998991930163692, 0.8998952740966553, 0.8998911239786592, 0.899885967582022, 0.8998818272539122, 0.8998844450397192, 0.8998870628255262, 0.8998896806113332, 0.8998922976830739, 0.8998949116281609, 0.8998975255732478, 0.8999001395183348, 0.8999038975358713, 0.8999119351800431, 0.8999199728242148, 0.8999280104683864, 0.8999360481125582, 0.8999394220710495, 0.8999370010305696, 0.8999345799900899, 0.8999321589496101, 0.8999297379091302, 0.8999273168686505, 0.8999232324886297, 0.8999134574155827, 0.8999036823425357, 0.8998939072694887, 0.8998841321964417, 0.8998743571233947, 0.8998645820503477, 0.8998548069773007, 0.8998441184317775, 0.8998345453738787, 0.8998249723159801, 0.8998153992580815, 0.8998081090407398, 0.8998052240254668, 0.8998023390101937, 0.8997994539949208, 0.8997965689796477, 0.8997936839643745, 0.8997907989491015, 0.8997879139338285, 0.8997850289185554, 0.8997818944257667, 0.8997784790895167, 0.8997758029021508, 0.8997743668666597, 0.8997729308311686, 0.8997705534055023, 0.8997690692316158, 0.8997744321287567, 0.8997797950258977, 0.8997851579230387, 0.8997902804814916, 0.8997950316746817, 0.8997997828678718, 0.8998045340610619, 0.8998092852542521, 0.8998140364474422, 0.8998234669751276, 0.8998344302102688, 0.8998453733597989, 0.8998526177321313, 0.8998598621044638, 0.8998671064767961, 0.8998718479759573, 0.8998755216405787, 0.8998791953052, 0.8998828689698214, 0.8998865532461535, 0.8998914077100141, 0.8998962621738746, 0.8999011166377351, 0.8999059711015956, 0.8999108255654562, 0.8999156800293168, 0.8999205344931773, 0.8999223629043644, 0.8999133575747009, 0.8999041773869841, 0.8998942567117911, 0.8998844882943873, 0.8998747198769832, 0.8998649514595793, 0.8998551830421755, 0.8998454146247716, 0.8998356462073678, 0.8998258777899639, 0.8998249654014501, 0.8998240627671861, 0.8998231601329221, 0.8998194554255172, 0.8998151331697011, 0.8998108109138852, 0.899806488658069, 0.8998021664022529, 0.8997978441464369, 0.8997962690557779, 0.8997959208990263, 0.8997955727422748, 0.8997952245855232, 0.8997948764287717, 0.8997945607254816, 0.899794249308921, 0.8997939378923606, 0.8997936264758002, 0.8997933150592397, 0.8997930036426792, 0.8997926922261188, 0.8997923808095584, 0.8997920693929979, 0.8997917579764374, 0.8997941187337222, 0.8997947640355686, 0.8997886433585326, 0.8997825226814968, 0.899776402004461, 0.8997702813274251, 0.8997641606503891, 0.8997580399733534, 0.8997519192963174, 0.8997457986192815, 0.8997483742024863, 0.8997489351101415, 0.8997492128538063, 0.899749490597471, 0.8997497683411357, 0.8997500460848005, 0.8997503238284652, 0.8997506015721299, 0.8997508793157947, 0.8997511570594594, 0.8997514348031241, 0.8997517125467889, 0.8997519902904535, 0.8997518413294789, 0.8997501626675639, 0.8997484840056491, 0.8997468053437341, 0.899734457117547, 0.8996972243397017, 0.8996599915618567, 0.8996218140374571, 0.8995803288497496, 0.8995389578419084, 0.8995252773284432, 0.8995257937514944, 0.8995263101745455, 0.8995268265975966, 0.8995273430206477, 0.8995278594436988, 0.8995283758667499, 0.899528892289801, 0.8995294087128521, 0.8995108503297407, 0.8994906685576269, 0.8994704867855132, 0.8994503050133997, 0.899430123241286, 0.8994099414691723, 0.8993970472561748, 0.899392492613778, 0.8993861049748806, 0.8993795347120219, 0.899372910365687, 0.8993662505267759, 0.8993606351028417, 0.8993552365363624, 0.899349837969883, 0.8993444394034038, 0.8993390408369244, 0.8993336422704451, 0.8993289058624698, 0.8993276185195933, 0.8993263311767168, 0.89932504383384, 0.8993237564909634, 0.8993224691480869, 0.8993206717857531, 0.8993184322533381, 0.8993161927209231, 0.8993136901397332, 0.8993111811733072, 0.899308672206881, 0.8993061632404551, 0.8993036542740291, 0.899300621600527, 0.8992934727397653, 0.8992863238790036, 0.8992721739508829, 0.8992622250935807, 0.899267163047369, 0.8992721010011571, 0.899277041113958, 0.899282001760771, 0.8992869624075841, 0.899291923054397, 0.8992968837012101, 0.8993018443480232, 0.8993068049948361, 0.8993117656416492, 0.8993167262884623, 0.8993216869352751, 0.8993266475820882, 0.8993316082289013, 0.8993364642607868, 0.8993413061560458, 0.8993452848437112, 0.8993442183188806, 0.89934315179405, 0.8993420852692193, 0.8993410187443888, 0.8993399522195582, 0.8993388856947275, 0.8993378191698969, 0.8993367526450663, 0.8993356861202357, 0.8993397058633132, 0.8993447356767066, 0.8993497654900998, 0.899354795303493, 0.899356231535928, 0.8993514985498463, 0.8993467655637647, 0.8993420325776829, 0.8993372856891976, 0.8993314633467978, 0.8993256410043982, 0.899318096544764, 0.8993055400240085, 0.8992929835032533, 0.8992835702198085, 0.8992788448071536, 0.8992741193944986, 0.8992693939818437, 0.8992646685691887, 0.8992599431565338, 0.8992543443327234, 0.8992472884292773, 0.899240232525831, 0.8992329500294709, 0.8992269022215219, 0.8992255937395008, 0.8992237904432283, 0.8992217065378467, 0.8992196226324652, 0.8992175387270838, 0.8992154548217023, 0.8992146575340261, 0.8992196576678939, 0.8992263800661888, 0.8992332606528552, 0.8992401412395217, 0.899247021826188, 0.8992539024128544, 0.8992607829995207, 0.8992676635861871, 0.8992745441728536, 0.89928142475952, 0.8992883053461864, 0.8992851514672893, 0.8992814975415997, 0.8992784504583395, 0.8992751913806977, 0.8992709544352907, 0.8992737419354819, 0.8992771078647752, 0.8992804737940684, 0.8992838397233616, 0.8992872056526549, 0.8992960577535207, 0.8993051116004593, 0.899314165447398, 0.8993232192943366, 0.8993322731412752, 0.8993413269882138, 0.8993500734592301, 0.8993472889814598, 0.8993441012143378, 0.8993409134472159, 0.8993370139398928, 0.8993328119163854, 0.8993286098928779, 0.8993348434537138, 0.8993419503412838, 0.8993490572288538, 0.8993561641164237, 0.8993632710039937, 0.8993703778915636, 0.8993774847791336, 0.8993582954498904, 0.8993562945823887, 0.8993641235513994, 0.8993719525204098, 0.8993797814894202, 0.8993876104584307, 0.8993954394274413, 0.8994032683964517, 0.8994110973654622, 0.8994189263344727, 0.8994265003741481, 0.8994330938115089, 0.8994396872488699, 0.8994431614773335, 0.8994408579204907, 0.8994385543636477, 0.899436250806805, 0.8994392810012712, 0.8994433751020141, 0.899447469202757, 0.8994515633034998, 0.8994532410325348, 0.8994530143154256, 0.8994527875983163, 0.899452560881207, 0.8994523341640976, 0.8994518968420484, 0.8994461231666826, 0.8994433581550505, 0.8994433367370849, 0.8994433153191193, 0.8994432939011539, 0.8994432724831882, 0.8994454742996093, 0.8994502670663094, 0.8994550598330093, 0.8994598525997095, 0.8994646453664095, 0.8994694381331096, 0.8994742308998096, 0.8994781799208194, 0.8994802200341994, 0.8994822601475791, 0.8994843002609592, 0.8994863403743392, 0.899488380487719, 0.899490420601099, 0.8994924607144789, 0.899496072380812, 0.8995002082636855, 0.8995043441465589, 0.8995084800294324, 0.8995126159123059, 0.8995167517951794, 0.8995208876780529, 0.8995250235609262, 0.8995291594437997, 0.8995267701897538, 0.8995230706015171, 0.8995193710132805, 0.899515671425044, 0.8995119718368073, 0.8995082722485708, 0.8995045726603341, 0.8995008730720975, 0.899496716047222, 0.8994867493745329, 0.8994743755734056, 0.8994633296518293, 0.8994618528051717, 0.8994410172959039, 0.8994182352902287, 0.8993954532845536, 0.8993726712788785, 0.8993498892732035, 0.8993280874886691, 0.8993158172140115, 0.8993035469393541, 0.8992912766646968, 0.8992967543766934, 0.8993066968991785, 0.8993166394216638, 0.8993265819441489, 0.8993365244666341, 0.8993212478930611, 0.8993050869902084, 0.8992889260873556, 0.8992727651845027, 0.8992561509568924, 0.8992372784605148, 0.8992184059641373, 0.8992149242846301, 0.8992183650249753, 0.89922001622089, 0.8992081226862114, 0.899196229151533, 0.8991843356168546, 0.8991724420821762, 0.8991634322436748, 0.899157417279901, 0.8991509216615111, 0.8991373252418218, 0.8991031197221612, 0.8990679256873136, 0.8990325073180705, 0.8989970889488275, 0.8989670568367569, 0.8989473805699264, 0.8989277043030958, 0.8989080280362651, 0.8988883517694345, 0.8988740564731281, 0.8988658960580977, 0.8988577356430675, 0.8988495752280372, 0.898841414813007, 0.8988332543979766, 0.8988250939829463, 0.8988169335679159, 0.8988129737093349, 0.8988194771329858, 0.8988259805566368, 0.8988364417708186, 0.8988471243110774, 0.8988578068513362, 0.8988684893915949, 0.8988791719318537, 0.8988757371410261, 0.898867198897262, 0.8988586606534978, 0.8988501224097338, 0.8988409866631607, 0.8988303943265795, 0.8988154637128639, 0.8987985108542178, 0.8987944644755161, 0.8987983605174759, 0.8988022565594354, 0.898806152601395, 0.8988114057999192, 0.8988203814030462, 0.8988293570061734, 0.8988383326093004, 0.8988473082124275, 0.8988562838155547, 0.8988652594186817, 0.8988742350218089, 0.8988832106249359, 0.8988921862280631, 0.8989004470718007, 0.8989064351272239, 0.8989124231826469, 0.8989184112380701, 0.8989243992934931, 0.8989303873489163, 0.8989363754043393, 0.8989436272997364, 0.8989515784928858, 0.8989595296860352, 0.8989657462809739, 0.8989711750289981, 0.8989766037770225, 0.8989820325250468, 0.898987461273071, 0.8989928900210953, 0.8989983187691197, 0.899003747517144, 0.8990091762651682, 0.8990146050131925, 0.899016788784734, 0.899018221338016, 0.899019653891298, 0.899023755341359, 0.8990305530186362, 0.8990373506959134, 0.8990441483731905, 0.8990380049752262, 0.899022838544172, 0.8990076721131177, 0.8989925056820636, 0.8989773392510094, 0.8989621728199553, 0.8989470063889009, 0.8989320485549706, 0.8989173389734115, 0.8989026293918523, 0.8988689576187167, 0.8988401253521342, 0.8988197207933083, 0.8987993162344825, 0.89878692449936, 0.8987857378930864, 0.8987845512868129, 0.8987833646805394, 0.898782178074266, 0.8987809914679924, 0.8987798048617189, 0.8987665720856826, 0.8987526320535254, 0.8987386920213681, 0.898724751989211, 0.8987101937874471, 0.8987005047467281, 0.8986908157060092, 0.8986811266652902, 0.8986714376245712, 0.8986617485838523, 0.8986412145221443, 0.8986019979589202, 0.898562781395696, 0.898552615842948, 0.8985457817388025, 0.8985389476346572, 0.8985321135305118, 0.8985313537799942, 0.8985305987813261, 0.8985298437826581, 0.89852908878399, 0.8985283337853218, 0.8985275787866538, 0.8985268237879858, 0.8985168688034665, 0.8985021833244901, 0.8984869547894025, 0.898471726254315, 0.8984564977192275, 0.8984472839595019, 0.8984420516483277, 0.8984368193371535, 0.898434367014534, 0.8984320542866726, 0.8984297415588112, 0.8984274288309498, 0.8984251161030885, 0.8984228033752271, 0.8984204906473656, 0.8984181779195042, 0.8984158651916428, 0.8984213767584104, 0.8984207064745484, 0.8984188965099669, 0.8984170865453853, 0.8984218205627101, 0.8984283625268958, 0.8984349044910813, 0.898441446455267, 0.8984443951231889, 0.8984441995218926, 0.8984440039205961, 0.8984438083192996, 0.8984436127180031, 0.8984434171167067, 0.8984515881705575, 0.898459797423145, 0.8984680066757326, 0.8984762159283202, 0.8984844251809077, 0.8984925977114686, 0.8984980072701427, 0.8985021637685557, 0.8985063202669685, 0.8985104767653815, 0.8985146332637944, 0.8985187897622073, 0.8985229462606202, 0.8985271027590331, 0.8985312592574459, 0.8985354157558589, 0.8985395722542717, 0.8985437287526847, 0.8985480887970593, 0.8985555115208117, 0.8985629342445642, 0.8985703569683168, 0.8985777796920693, 0.8985846694152144, 0.89859147576139, 0.8985982821075656, 0.8986050884537413, 0.8986118947999168, 0.8986187011460924, 0.898625507492268, 0.898632694466045, 0.8986404798698454, 0.8986482652736458, 0.8986560506774464, 0.8986638360812467, 0.8986715636674925, 0.8986790998199781, 0.8986866359724637, 0.8986931443368145, 0.8986991981226901, 0.8987052519085659, 0.8987113056944416, 0.8987173594803174, 0.8987234132661931, 0.8987297286307281, 0.8987379864801539, 0.8987446513996952, 0.8987406301931828, 0.8987366089866706, 0.8987325877801584, 0.8987285665736461, 0.8987245453671338, 0.8987191745768819, 0.8987131560661236, 0.8987063888164928, 0.8987108005755831, 0.8987156903750853, 0.8987205801745872, 0.8987254699740892, 0.8987162429517714, 0.8986996528984272, 0.8986864041265128, 0.8986892168825185, 0.8986920296385241, 0.8986948423945298, 0.8986976551505355, 0.8987004679065412, 0.898703280662547, 0.8987060934185527, 0.8987089061745583, 0.898711499080111, 0.8987127670677694, 0.8987140350554277, 0.898715303043086, 0.8987165710307443, 0.8987178390184026, 0.8987191070060608, 0.8987203749937192, 0.8987222618830828, 0.8987264236593557, 0.8987302494479692, 0.8987339715443338, 0.8987376936406983, 0.898741415737063, 0.8987420891027678, 0.8987401853964125, 0.8987382816900574, 0.8987363779837023, 0.8987344742773471, 0.8987325705709921, 0.8987306668646369, 0.8987287631582818, 0.8987256515778868, 0.8987206238133882, 0.8987166734567951, 0.8987127231002017, 0.8987087727436085, 0.8987048223870153, 0.898697574098411, 0.8986848274127062, 0.8986720807270012, 0.8986593340412962, 0.8986465873555913, 0.8986338406698864, 0.8986210939841816, 0.8986083472984766, 0.8985956006127718, 0.8985828539270668, 0.8985701072413619, 0.8985652261858956, 0.8985608034862576, 0.8985563807866193, 0.8985529103990428, 0.8985588197525692, 0.8985647291060954, 0.8985706384596217, 0.898576547813148, 0.8985824571666743, 0.8985883665202007, 0.8985942758737269, 0.8986001852272532, 0.8986060945807794, 0.8986105976909575, 0.8986136363674084, 0.8986166750438593, 0.8986196375779963, 0.8986225441928327, 0.8986254508076692, 0.8986283574225056, 0.898631264037342, 0.8986341706521783, 0.8986370772670147, 0.8986399838818511, 0.8986428904966874, 0.8986457971115238, 0.8986487037263602, 0.8986516103411966, 0.8986554944233884, 0.898660111641862, 0.8986647288603355, 0.898669346078809, 0.8986739632972826, 0.8986785805157562, 0.8986831977342296, 0.8986878149527031, 0.8986924321711767, 0.8986970493896502, 0.8987016666081237, 0.8987062838265973, 0.8987109010450707, 0.8987155182635442, 0.8987201354820178, 0.8987247527004913, 0.8987315347190261, 0.8987362250601734, 0.8987409154013206, 0.8987456057424679, 0.8987500711565515, 0.8987541946227651, 0.8987583180889787, 0.8987624415551924, 0.898766565021406, 0.8987706884876197, 0.8987748119538332, 0.8987749958381843, 0.8987717771447463, 0.8987685584513083, 0.8987653397578705, 0.8987621210644325, 0.8987589023709945, 0.8987556836775566, 0.8987519696765621, 0.8987481666729107, 0.8987443636692592, 0.8987405606656078, 0.8987367576619563, 0.8987329546583047, 0.8987291516546533, 0.8987253486510018, 0.8987230111618806, 0.8987272134348641, 0.8987314157078474, 0.8987356179808308, 0.8987398202538142, 0.8987440225267975, 0.898748224799781, 0.8987524270727644, 0.8987584724101414, 0.8987643327901178, 0.8987701931700942, 0.8987760535500705, 0.898781913930047, 0.8987877743100233, 0.8987936346899996, 0.898799495069976, 0.8988053554499524, 0.8988112158299288, 0.8988170762099053, 0.8988229365898817, 0.8988275862040076, 0.8988319783181717, 0.8988363704323358, 0.8988337694876531, 0.8988309262450824, 0.8988280830025119, 0.8988252397599411, 0.8988223965173705, 0.8988195532747997, 0.8988167100322291, 0.8988138667896585, 0.8988110235470876, 0.898808180304517, 0.8988053370619462, 0.8988024938193757, 0.898799273501356, 0.8987959610834951, 0.8987926486656344, 0.898790128788771, 0.898788150907061, 0.8987861730253508, 0.8987841951436407, 0.8987822172619306, 0.8987812927027157, 0.8987858452674942, 0.8987903978322727, 0.8987949503970512, 0.8987995029618298, 0.8988013140964077, 0.8987926496833015, 0.8987839852701953, 0.8987753208570891, 0.8987666564439829, 0.8987579920308766, 0.8987481452844531, 0.8987333178765481, 0.8987184904686432, 0.8987036630607381, 0.8986888356528332, 0.8986740082449283, 0.8986735952705688, 0.898674798513661, 0.8986824667940774, 0.8986901350744938, 0.89869780335491, 0.8987054716353264, 0.8987024565522383, 0.8986991869023122, 0.8986959172523861, 0.8986926476024599, 0.8986893779525339, 0.8986861083026078, 0.8986828386526817, 0.8986785954349088, 0.89867289161184, 0.8986671877887715, 0.8986614839657028, 0.8986569100825588, 0.8986556599321416, 0.8986544097817244, 0.8986531596313072, 0.89865190948089, 0.8986506593304728, 0.8986299021233203, 0.8986016880126044, 0.8985734739018887, 0.898545259791173, 0.898516065117622, 0.8984853251142818, 0.8984545851109416, 0.8984382033565219, 0.8984406414569728, 0.8984430795574238, 0.8984469088643565, 0.8984508084422841, 0.8984547080202117, 0.8984586075981391, 0.8984625071760666, 0.8984664067539943, 0.8984703063319217, 0.8984742059098492, 0.8984781054877767, 0.8984820152280051, 0.898486112078582, 0.8984902089291589, 0.8984943057797357, 0.8984984026303126, 0.8985014394656816, 0.8984995160523679, 0.8984960914934602, 0.8984926669345525, 0.8984892423756448, 0.8984858178167371, 0.8984823932578294, 0.8984789686989216, 0.8984758701895666, 0.898475344961025, 0.8984748197324834, 0.8984742945039419, 0.8984737692754003, 0.8984732440468588, 0.8984740170019914, 0.8984760176455255, 0.8984780182890595, 0.8984800189325937, 0.8984820195761278, 0.8984840674531422, 0.8984883977061129, 0.8984927279590837, 0.8984970582120544, 0.8985013884650253, 0.8985057187179959, 0.8985100489709668, 0.8985079073944691, 0.8984947879262524, 0.8984816684580357, 0.898468548989819, 0.8984554295216023, 0.8984423100533856, 0.8984291905851689, 0.8984114024270402, 0.8983820430897294, 0.8983526837524184, 0.8983233244151074, 0.8982939650777966, 0.8982646057404857, 0.8982378568554522, 0.898229259279661, 0.8982206617038699, 0.8982120641280789, 0.8982034665522877, 0.8981948689764965, 0.8981981612692732, 0.8982082216284286, 0.898218281987584, 0.8982283423467394, 0.8982384027058947, 0.8982484630650501, 0.8982585234242055, 0.898268583783361, 0.8982786441425163, 0.8982887045016716, 0.8982987648608272, 0.8983088252199826, 0.8983188855791379, 0.8983289459382933, 0.8983386481391517, 0.898347562413872, 0.8983564766885923, 0.8983653909633127, 0.8983708374132697, 0.8983753157066412, 0.8983797940000129, 0.8983842722933845, 0.898388750586756, 0.898393669438355, 0.898400451638391, 0.898407233838427, 0.8984140160384628, 0.8984207982384989, 0.8984275804385348, 0.8984343626385708, 0.8984411448386068, 0.8984479270386427, 0.8984547092386788, 0.8984612223690338, 0.8984676555403043, 0.8984740887115747, 0.8984805218828453, 0.8984869550541159, 0.8984937314752774, 0.89850128658635, 0.8985088416974224, 0.8985163968084948, 0.8985239519195672, 0.8985315070306397, 0.8985394839644893, 0.8985492712717422, 0.898559058578995, 0.8985688458862477, 0.8985786331935006, 0.8985860770791116, 0.8985916608327646, 0.8985942516680483, 0.8985961616308651, 0.8985980715936819, 0.8985999815564987, 0.8986020074725102, 0.8986066202042671, 0.8986112329360241, 0.8986158456677811, 0.8986204583995381, 0.8986250711312951, 0.8986296838630521, 0.8986342965948091, 0.8986389093265661, 0.898643522058323, 0.8986481347900801, 0.8986527475218371, 0.898657360253594, 0.8986568427370023, 0.8986547644242737, 0.8986526861115451, 0.898649853372512, 0.8986448100661737, 0.8986382504024373, 0.8986316907387009, 0.8986251310749646, 0.8986185714112281, 0.8986135348448547, 0.8986084999648665, 0.8986034650848782, 0.8985984302048899, 0.898597550392615, 0.8986001282544668, 0.8986027061163187, 0.8986052839781704, 0.8986078618400223, 0.8986104397018742, 0.8986130175637259, 0.898610721729121, 0.8986073581411496, 0.8986039945531779, 0.8986006309652064, 0.898598489904572, 0.8985967570667892, 0.8985950242290066, 0.898593291391224, 0.8985915585534415, 0.8985898257156589, 0.8985880928778762, 0.8985871686414776, 0.898588947249868, 0.8985884275544047, 0.8985833593082635, 0.8985782910621223, 0.8985732228159811, 0.89856815456984, 0.8985630863236989, 0.8985580180775576, 0.8985529498314164, 0.8985478815852752, 0.8985428133391341, 0.8985378903277326, 0.8985347201519633, 0.8985315499761941, 0.8985283798004249, 0.8985252096246557, 0.8985205185145743, 0.89851212783876, 0.8985037371629458, 0.8984953464871315, 0.8984869558113172, 0.898478565135503, 0.8984701744596886, 0.8984617837838744, 0.89845339310806, 0.8984450211555757, 0.8984445155832013, 0.8984440100108267, 0.8984435044384522, 0.8984428517153344, 0.8984378896437546, 0.8984329275721749, 0.8984279655005951, 0.8984230034290153, 0.8984180413574356, 0.8984130792858558, 0.8984075226312008, 0.8984025219724927, 0.8984030399028071, 0.8984035578331213, 0.8984040757634357, 0.8984045936937499, 0.8984091212670793, 0.8984139442703909, 0.8984187672737027, 0.8984235902770144, 0.8984284132803261, 0.8984350922874793, 0.898442812690448, 0.8984505330934166, 0.8984582534963852, 0.8984651400726094, 0.8984719967340165, 0.8984788533954237, 0.898485363357354, 0.8984917526611932, 0.8984981419650324, 0.8985045312688718, 0.8985109205727111, 0.898516952088289, 0.8985220539372191, 0.8985271557861492, 0.8985322576350793, 0.8985373594840094, 0.8985424613329395, 0.8985475631818696, 0.8985539068861692, 0.8985613540216446, 0.8985663701158322, 0.8985713003199016, 0.8985762305239711, 0.8985811607280406, 0.8985860909321102, 0.8985910211361796, 0.8985959513402492, 0.898600394576124, 0.898604162005459, 0.8986066571328167, 0.8986086993242142, 0.8986107415156117, 0.898612783707009, 0.8986148258984066, 0.8986168680898039, 0.8986189102812014, 0.8986149468450879, 0.8986081691619867, 0.8986013914788855, 0.8985946137957845, 0.8985873507309994, 0.8985784801747931, 0.8985696096185869, 0.8985607390623807, 0.8985518685061744, 0.8985429979499684, 0.8985341273937621, 0.8985252568375559, 0.8985206028394133, 0.8985242814378349, 0.8985279600362568, 0.8985316386346787, 0.8985351615753844, 0.8985365554228343, 0.8985379492702842, 0.8985393431177342, 0.898540736965184, 0.898542130812634, 0.8985435246600839, 0.8985447182520572, 0.8985455287174364, 0.8985427489012878, 0.8985396842487603, 0.8985366195962328, 0.8985335549437053, 0.8985304902911779, 0.8985274256386504, 0.8985212762851056, 0.8985132749754009, 0.8985052736656962, 0.8984972723559915, 0.8984892710462868, 0.8984812697365822, 0.8984718157462276, 0.898460958477324, 0.8984533961254426, 0.898445833773561, 0.8984382714216795, 0.898430709069798, 0.8984231467179166, 0.8984155843660349, 0.8984080220141535, 0.898400459662272, 0.8983928973103905, 0.8983919725803611, 0.8983968585408291, 0.8984017445012971, 0.8984066304617649, 0.8984115164222328, 0.8984164023827008, 0.8984212883431688, 0.8984261743036367, 0.8984237061982869, 0.8984167808546042, 0.8984098781796437, 0.8984029755046834, 0.8983960728297228, 0.8983891701547624, 0.8983822674798019, 0.8983753648048414, 0.8983684621298809, 0.898363279081613, 0.8983511243330418, 0.8983389695844706, 0.8983268148358994, 0.8983146600873283, 0.8983025053387572, 0.898290350590186, 0.8982781958416148, 0.8982749106569251, 0.8982769542732554, 0.8982824863958561, 0.8982887581092656, 0.8982950298226751, 0.8983013015360845, 0.8983075732494938, 0.8983138449629033, 0.8983201166763128, 0.8983263883897221, 0.8983337318819753, 0.8983431828938843, 0.8983526339057931, 0.89836099126438, 0.8983686717997754, 0.8983763523351708, 0.8983840328705662, 0.8983909758950277, 0.8983769545970337, 0.8983629332990397, 0.8983402903906146, 0.8983170639315834, 0.8982938374725524, 0.8982706110135212, 0.8982692645999732, 0.8982684481710181, 0.8982676317420628, 0.8982668153131076, 0.8982659988841524, 0.898265182455197, 0.8982722665305645, 0.8982807631020898, 0.8982892596736153, 0.8982977562451406, 0.8983062528166661, 0.8983147493881914, 0.8983232459597168, 0.8983313008211709, 0.8983385306504434, 0.898345760479716, 0.8983529903089886, 0.8983602201382612, 0.8983674499675338, 0.8983746797968064, 0.8983765749812846, 0.8983735996473219, 0.8983706243133593, 0.8983663907431143, 0.8983616165758834, 0.8983568424086525, 0.8983520682414217, 0.8983472940741907, 0.8983425199069599, 0.8983373229765271, 0.8983316287615082, 0.8983259345464893, 0.8983209922998718, 0.8983240892001986, 0.8983297551652603, 0.8983354211303219, 0.8983410870953836, 0.8983467530604453, 0.898352419025507, 0.8983580849905686, 0.8983637509556303, 0.8983694169206919, 0.8983750828857535, 0.8983798865328803, 0.8983831005441614, 0.8983863145554425, 0.8983903474166337, 0.8983954279141055, 0.8984005084115771, 0.8984055889090488, 0.8984106694065205, 0.8984160421271132, 0.8984228310272173, 0.8984296199273213, 0.8984332948026612, 0.8984369400823469, 0.8984405853620324, 0.898444230641718, 0.8984478759214036, 0.8984515212010893, 0.898455166480775, 0.8984588117604605, 0.8984624570401463, 0.8984661023198318, 0.8984697475995174, 0.898473309565045, 0.8984752522046788, 0.8984763303507808, 0.8984774084968825, 0.8984784866429844, 0.8984795647890862, 0.8984806429351881, 0.89848172108129, 0.8984827992273918, 0.8984838773734938, 0.8984863042102512, 0.8984894501747647, 0.8984925961392781, 0.8984957421037916, 0.8984988880683051, 0.8984976367705032, 0.898493419235729, 0.8984892017009549, 0.8984849841661808, 0.8984807666314067, 0.8984755679670097, 0.8984702185640652, 0.8984640588498469, 0.8984624351202443, 0.8984608867106201, 0.8984593383009959, 0.8984577898913717, 0.8984562414817474, 0.8984546930721233, 0.8984531446624991, 0.898451596252875, 0.8984496632571388, 0.8984461087472608, 0.8984425542373831, 0.8984389997275051, 0.8984354452176273, 0.8984318907077493, 0.8984283361978715, 0.8984232167230555, 0.8984155646492129, 0.8984136418215916, 0.8984121666870614, 0.8984106915525312, 0.8984092164180011, 0.898407741283471, 0.8984065017842904, 0.8984053631830593, 0.8984034490127865, 0.8984015348425136, 0.8983996206722409, 0.8983977065019679, 0.8983957923316952, 0.8983938781614225, 0.8983919639911496, 0.8983957100665088, 0.8984015675212171, 0.8984074249759255, 0.8984132824306339, 0.8984191398853423, 0.8984252667210282, 0.8984318069627846, 0.8984361873730536, 0.8984373090864792, 0.8984384307999049, 0.8984395525133306, 0.8984406742267563, 0.8984417959401819, 0.8984429176536075, 0.8984440393670332, 0.8984451610804589, 0.8984462827938845, 0.8984474045073101, 0.8984485262207358, 0.8984496479341615, 0.8984525203463036, 0.8984554193161332, 0.8984584653517462, 0.8984616737942944, 0.8984648822368426, 0.8984680906793907, 0.8984712991219388, 0.8984745075644869, 0.8984777160070351, 0.8984835414970322, 0.8984896644447262, 0.89849578739242, 0.898501910340114, 0.8985080332878077, 0.8985140588904926, 0.898520049579945, 0.8985260402693973, 0.8985320309588497, 0.8985380216483021, 0.8985438332746397, 0.8985462936470814, 0.8985487540195232, 0.8985513455325891, 0.898553949183311, 0.8985565528340329, 0.8985591564847548, 0.8985615102213583, 0.8985637934045849, 0.8985665553398983, 0.8985700740742134, 0.8985735928085286, 0.8985771115428438, 0.8985802047567608, 0.8985797156339016, 0.8985792265110424, 0.8985787373881833, 0.8985782482653242, 0.898577759142465, 0.8985772700196057, 0.8985767808967466, 0.898576582265231, 0.8985794966363523, 0.8985840550359653, 0.8985886134355783, 0.8985931718351914, 0.8985977302348045, 0.8986022886344174, 0.8986068470340305, 0.8986114054336434, 0.8986159638332565, 0.8986205222328696, 0.8986250806324825, 0.8986296390320956, 0.8986341974317086, 0.8986387558313217, 0.8986423611226031, 0.8986453670393457, 0.8986483729560882, 0.8986513788728308, 0.8986543847895734, 0.8986573907063158, 0.8986603966230584, 0.8986634025398008, 0.8986664084565434, 0.898669414373286, 0.8986724202900285, 0.8986754262067711, 0.8986784321235135, 0.898681438040256, 0.8986844439569985, 0.8986867751905545, 0.8986886283220259, 0.8986919735066716, 0.8986953186913172, 0.8986986638759629, 0.8987020090606085, 0.8987053542452541, 0.8987086994298997, 0.8987120446145453, 0.8987153897991911, 0.8987187349838366, 0.8987220801684823, 0.8987245295504616, 0.8987248141117254, 0.8987247607269204, 0.8987237271919666, 0.8987226936570127, 0.8987216381405834, 0.8987202367705578, 0.8987189970887046, 0.8987177574068514, 0.8987165177249983, 0.8987152780431449, 0.8987140383612917, 0.8987118422258984, 0.8987086999504159, 0.8987055576749333, 0.8987024153994508, 0.8986992731239684, 0.8986961308484858, 0.8986929885730033, 0.8986901586240656, 0.8986907471232252, 0.8986910413226306, 0.8986913355220361, 0.8986916297214413, 0.8986919239208467, 0.8986922181202521, 0.8986925123196575, 0.8986928065190629, 0.8986935150764317, 0.8986977538538417, 0.8987019926312516, 0.8987062314086616, 0.8987104701860715, 0.8987124372278195, 0.8987122464253958, 0.8987120556229722, 0.8987118648205484, 0.8987116740181247, 0.8987114832157012, 0.8987117361931759, 0.8987119177967386, 0.8987059370392049, 0.8986999562816713, 0.8986939755241377, 0.898687994766604, 0.8986820140090706, 0.8986760332515369, 0.8986744955174786, 0.8986774670991537, 0.8986826495623867, 0.8986878320256195, 0.8986930144888525, 0.8986981969520855, 0.8987033794153183, 0.8987085618785513, 0.8987137443417842, 0.8987189268050171, 0.8987253142125249, 0.8987311720329856, 0.8987319476987232, 0.8987233984065084, 0.898714229581227, 0.8987046577147575, 0.8986950858482881, 0.8986855139818186, 0.8986759421153492, 0.898662115537734, 0.8986344334908551, 0.8986104343866197, 0.8985930873739532, 0.8985831835884543, 0.8985828463088055, 0.8985825090291567, 0.8985821527567679, 0.8985817379258336, 0.8985828808860926, 0.8985857809643731, 0.8985914308811783, 0.8985982559786424, 0.8986050810761065, 0.8986119061735705, 0.8986187312710346, 0.8986255563684987, 0.8986323814659628, 0.8986376648817972, 0.8986361447457599, 0.8986341086980466, 0.8986317627941244, 0.8986294168902023, 0.8986212126019174, 0.8986128986182537, 0.89860458463459, 0.8985962375411923, 0.8985878741731816, 0.8985795108051711, 0.8985711474371604, 0.8985625702869076, 0.8985538467563967, 0.8985477343183008, 0.8985434744730891, 0.8985392146278774, 0.8985349547826658, 0.8985306949374541, 0.8985245328520507, 0.8985175511226938, 0.8985105693933368, 0.8985031205543986, 0.8984934410554799, 0.8984837615565612, 0.8984739483719941, 0.8984639785168974, 0.8984540086618008, 0.8984440388067041, 0.8984369212136012, 0.8984322254301642, 0.898427529646727, 0.89842283386329, 0.898418138079853, 0.898413406080971, 0.8984122055227828, 0.8984120811519832, 0.8984129581150391, 0.8984150045723349, 0.8984170510296307, 0.8984190974869265, 0.8984211439442222, 0.8984231904015181, 0.8984223491184113, 0.8984126352643065, 0.8984022911469596, 0.8983905797976282, 0.8983784900775307, 0.8983682826385433, 0.8983712730568917, 0.8983742634752401, 0.8983772538935885, 0.8983802443119369, 0.8983832347302853, 0.8983839049870881, 0.8983835358703245, 0.8983831667535609, 0.8983827976367973, 0.8983824285200337, 0.8983820594032701, 0.8983816902865065, 0.8983813211697429, 0.8983795776225686, 0.8983772132931047, 0.8983748489636408, 0.898370551211382, 0.8983618581915586, 0.8983531651717351, 0.8983444721519116, 0.8983357791320881, 0.8983269521581212, 0.898325708193956, 0.8983255987940373, 0.8983254893941188, 0.8983253799942001, 0.8983252705942817, 0.898325161194363, 0.8983250517944444, 0.8983249423945259, 0.8983200972445149, 0.8983134743121461, 0.8983088812907725, 0.8983042882693988, 0.8982996952480252, 0.8982951022266515, 0.898290509205278, 0.8982859161839043, 0.8982813231625306, 0.8982767301411569, 0.8982651946221771, 0.8982580676925257, 0.8982509407628743, 0.8982438138332229, 0.8982366869035716, 0.898228535351551, 0.8982332841078935, 0.8982392415599835, 0.8982451990120734, 0.8982511564641633, 0.8982531826421005, 0.898252483690089, 0.8982517847380777, 0.8982509273908199, 0.8982463122845648, 0.8982416971783098, 0.8982370820720547, 0.8982355921910452, 0.8982350860728712, 0.8982345799546969, 0.8982340738365228, 0.8982335677183486, 0.8982367477458557, 0.8982425445443352, 0.8982483413428144, 0.8982541381412938, 0.8982611356941224, 0.8982689287294128, 0.8982767217647034, 0.8982823481522711, 0.89828105790193, 0.8982792758066789, 0.8982774937114277, 0.8982757116161767, 0.8982739295209257, 0.8982721474256745, 0.8982703653304234, 0.8982685832351722, 0.8982668011399211, 0.898270621886175, 0.8982745751890305, 0.898277260320534, 0.8982764316458483, 0.8982756029711625, 0.8982747742964767, 0.898273945621791, 0.8982731169471052, 0.8982740496669923, 0.8982771651142714, 0.8982802805615503, 0.898284190605225, 0.8982887426403707, 0.8982932946755162, 0.8982978467106619, 0.8983024201275138, 0.8983070499826438, 0.8983116798377737, 0.8983163096929034, 0.8983209395480334, 0.8983255694031633, 0.8983242244088931, 0.8983224637918243, 0.8983207031747554, 0.8983189425576866, 0.8983171819406177, 0.8983154213235488, 0.8983094811381975, 0.898297003194445, 0.8982838590973121, 0.8982707150001792, 0.8982634852790111, 0.8982601445355316, 0.8982593465065926, 0.8982592438035368, 0.8982591411004812, 0.8982590383974254, 0.8982589356943697, 0.8982541151052795, 0.8982450682655291, 0.8982360214257787, 0.8982269745860283, 0.8982204175479915, 0.89821735797596, 0.898213094947401, 0.8982088319188418, 0.8982045688902828, 0.8982003058617236, 0.8981960428331646, 0.8981917798046055, 0.8981881597994117, 0.8981880534458444, 0.898188830563029, 0.8981897555166307, 0.898191197157902, 0.8981926387991733, 0.8981940804404448, 0.8981955220817162, 0.8981959056283798, 0.8981941945620693, 0.8981924834957589, 0.8981907724294484, 0.8981821139991963, 0.8981701544329432, 0.8981581948666899, 0.8981470160436245, 0.8981404841649776, 0.8981339522863308, 0.8981274204076838, 0.8981208885290368, 0.89811435665039, 0.8981078247717431, 0.8981012928930961, 0.8980947610144492, 0.8980882291358023, 0.8980821490498898, 0.8980763410692898, 0.898070488137324, 0.8980646352053585, 0.8980587822733928, 0.8980529293414272, 0.8980466559777652, 0.8980375607958333, 0.8980287725431746, 0.8980207501084166, 0.8980127276736587, 0.8980047052389006, 0.8979966828041426, 0.8979886603693845, 0.8979806379346267, 0.8979727192362963, 0.8979683574370971, 0.8979683757083502, 0.8979683939796033, 0.8979684122508562, 0.8979684305221093, 0.8979684487933622, 0.8979684670646153, 0.8979713677769563, 0.8979771060955066, 0.897982844414057, 0.8979885827326072, 0.8979935869090898, 0.8979911715758895, 0.8979886746284444, 0.8979861776809994, 0.8979836807335545, 0.8979811837861096, 0.8979786868386646, 0.8979757204271348, 0.8979726820132383, 0.8979700535508373, 0.8979674250884364, 0.8979647966260356, 0.8979621681636345, 0.8979595397012337, 0.8979569112388328, 0.8979513967666675, 0.8979397560041762, 0.8979276894542587, 0.8979156229043412, 0.8979035563544238, 0.8978914898045063, 0.8978794232545887, 0.8978673567046712, 0.897835720694578, 0.8977960000135393, 0.8977644067590957, 0.8977328135046523, 0.8977012202502088, 0.8976970312137997, 0.897696179540147, 0.8976953278664942, 0.8976944761928415, 0.8976936245191887, 0.897692772845536, 0.8976919211718832, 0.8976910694982304, 0.8976902178245776, 0.8976851656861493, 0.8976776199706586, 0.8976700742551681, 0.8976631899251777, 0.8976669623389426, 0.8976707347527075, 0.8976745071664725, 0.8976782795802374, 0.8976820519940023, 0.8976861268750662, 0.8976866187189916, 0.8976858951415657, 0.8976851715641396, 0.8976844479867137, 0.8976837244092877, 0.8976830008318617, 0.8976822772544357, 0.8976815536770096, 0.8976808300995837, 0.897681607788917, 0.8976861073322098, 0.8976906068755024, 0.897695106418795, 0.8976996059620879, 0.8977041055053805, 0.8977086050486731, 0.8977131045919657, 0.8977174637657213, 0.8977215446333926, 0.8977256255010639, 0.8977297063687353, 0.8977337872364066, 0.8977404956702644, 0.8977494846359237, 0.8977584736015831, 0.8977674625672425, 0.8977764293400824, 0.8977848438410305, 0.8977932583419787, 0.8978016728429268, 0.8978100873438749, 0.897818501844823, 0.897826916345771, 0.8978277024695953, 0.8978250575957387, 0.8978224127218821, 0.8978197678480253, 0.8978171229741687, 0.8978144781003121, 0.8978041244950921, 0.897799016616555, 0.8977937172472903, 0.8977878238465324, 0.8977819304457748, 0.8977760370450171, 0.8977701436442592, 0.8977642502435015, 0.8977583568427437, 0.8977567937880803, 0.8977562520591978, 0.8977557103303154, 0.8977551686014329, 0.8977546268725505, 0.8977540851436681, 0.8977535434147856, 0.8977530016859032, 0.8977508883952994, 0.897747731963872, 0.8977445755324447, 0.8977414191010173, 0.8977391106582362, 0.8977412366845363, 0.8977433627108362, 0.8977454887371361, 0.897747614763436, 0.8977497407897359, 0.897751866816036, 0.8977539928423359, 0.8977561188686358, 0.8977582448949358, 0.8977599538892829, 0.897747768379461, 0.8977345540544053, 0.8977232741506647, 0.8977119942469238, 0.897700714343183, 0.8976894344394424, 0.8976781545357015, 0.8976676645629974, 0.897661847722277, 0.8976560308815564, 0.897650214040836, 0.8976488422403974, 0.8976492050486606, 0.8976529608757573, 0.8976567167028542, 0.8976604725299508, 0.8976642283570476, 0.8976679841841444, 0.8976717400112411, 0.8976751067830316, 0.8976788768425579, 0.8976821341513705, 0.8976788205090221, 0.8976755068666737, 0.8976758101765967, 0.8976724842788341, 0.8976682429568177, 0.8976640016348014, 0.8976583140030653, 0.8976503399931303, 0.8976423659831952, 0.8976353295182026, 0.8976291599220811, 0.8976229903259596, 0.8976168207298381, 0.8976106511337167, 0.8976050806640563, 0.897590568109387, 0.8975758877509421, 0.8975612073924973, 0.8975465270340526, 0.8975318466756077, 0.8975171663171629, 0.8975109615264081, 0.8975126162749832, 0.8975142710235584, 0.8975159257721335, 0.8975175805207085, 0.8975192352692837, 0.8975195085724905, 0.8975168354965986, 0.897514210329414, 0.897511760199952, 0.8975093100704901, 0.8975068599410281, 0.897504572947856, 0.8975081589953728, 0.8975052960288996, 0.8974945081843102, 0.8974837203397206, 0.8974729324951312, 0.8974621446505417, 0.8974571264651725, 0.8974538273057264, 0.8974452335608316, 0.8974366398159366, 0.897427334063815, 0.8974146182882607, 0.8974019025127066, 0.8973858715652678, 0.8973626131418635, 0.8973393547184592, 0.8973160962950549, 0.8972928378716507, 0.8972836095899446, 0.8972768936321237, 0.8972701776743028, 0.8972634617164821, 0.8972567457586612, 0.8972503461083916, 0.8972449632675503, 0.8972388885139484, 0.8972152478221924, 0.8971916071304364, 0.8971679664386805, 0.8971482569215172, 0.8971401995755701, 0.897132142229623, 0.8971240848836759, 0.8971117889358458, 0.897068886111396, 0.89703808954533, 0.8970125434857545, 0.8969869974261789, 0.8969685196403502, 0.8969543194922824, 0.8969332233760055, 0.8968970998155049, 0.8969014094116172, 0.8969057190077294, 0.8969019145267645, 0.8968849424432146, 0.8968777576401612, 0.8968689583406388, 0.8968527501237944, 0.8968343326173029, 0.8968185843975691, 0.8968008252298567, 0.8967843123885102, 0.8967719632435528, 0.8967713125933735, 0.8967705303710887, 0.8967618910823798, 0.8967521767442036, 0.8967300809053995, 0.8967117558777451, 0.8966933842663232, 0.8966798420039837, 0.8966665551916309, 0.8966545499933716, 0.8966447272894202, 0.8966313411496794, 0.8966232965262781, 0.8966219163488369, 0.8966007861625235, 0.8965658464944959, 0.8965562562029041, 0.8965559188216283, 0.8965427377086526, 0.896507642498674, 0.8964733877153492, 0.896444780825838, 0.8964173257548627, 0.8963867663404819, 0.8963605635297429, 0.8963581799615558, 0.8963519611520381, 0.8963318701571783, 0.8962374883044023, 0.8961282979339891, 0.8960574855591212, 0.896019325061538, 0.8960062943042464, 0.8959858299422554, 0.8959466466487036, 0.8959187336407168, 0.8959090641216279, 0.895892302390506, 0.8958583287677457, 0.8958446416443826, 0.8958477410787293, 0.8958334209856958, 0.8957986655646424, 0.8957585166466477, 0.8957079495280199, 0.8957014885396231, 0.8957077784864529, 0.8957089528435167, 0.8956878547226641, 0.8956656690078106, 0.8956433148009395, 0.8956179042395761, 0.8955671795307905, 0.895518458634643, 0.8955051201274313, 0.8954917816202197, 0.8954829589693756, 0.8954851605169907, 0.8954873620646057, 0.8954895613087754, 0.895491872390239, 0.8954946735963811, 0.8954892921565044, 0.8954811732683463, 0.8954455814110294, 0.8954434474579427, 0.8954411636148415, 0.8954219330387614, 0.8954041932701755, 0.8954054794889864, 0.8954102259286344, 0.895403126076747, 0.8953952658261525, 0.8953978061420755, 0.8953852090423595, 0.8953689761995817, 0.8953697405959316, 0.8953705049922813, 0.8953647296678058, 0.895347406447678, 0.8953331784099636, 0.895315899007521, 0.8952870410523794, 0.8952449910106683, 0.8952211195395017, 0.8951988680600045, 0.895195850492228, 0.8951631274455035, 0.8950983351882952, 0.895070392256603, 0.8950503824849102, 0.8950380222293282, 0.8950353223277028, 0.8950311592261466, 0.8950381578907927, 0.8950410346153432, 0.8950418791630762, 0.8950456164084699, 0.8950516364470098, 0.8950584038106233, 0.8950653453793886, 0.8950624679108135, 0.8950071077576311, 0.8949971742904007, 0.8949955575339879, 0.8949872141022276, 0.8949571805483127, 0.8949158208199331, 0.8948844694376028, 0.8948600053607474, 0.8948404153483195, 0.8948244410785529, 0.8948222774993337, 0.8948235024521873, 0.8948247274050409, 0.8948131108994444, 0.8948034779147845, 0.8948018024864557, 0.8948001270581267, 0.8947984516297977, 0.8947890312273346, 0.8947776340036404, 0.8947734786242785, 0.8947402527410292, 0.8947415197460211, 0.8947433188343852, 0.8946977090380275, 0.8946480860438526, 0.8946243136180196, 0.8946151828103615, 0.8946183252306252, 0.8946214676508892, 0.8946195034676525, 0.8946114829634948, 0.8945033058355907, 0.8944155106228833, 0.8943779429230596, 0.8943520266470883, 0.8943432390194257, 0.8943395959186482, 0.8943346073469118, 0.8943256349667335, 0.8943166664164917, 0.894278049162732, 0.8942113239245149, 0.8941674057634378, 0.8941464383930142, 0.8941445081011061, 0.894142577809198, 0.8941368085227102, 0.8941221823643364, 0.8941112044534556, 0.8941011397692985, 0.8940799560320696, 0.8940552830240791, 0.8940365363020087, 0.894030548789772, 0.8940249813956642, 0.8940229069037411, 0.8939925541722625, 0.8939555238721342, 0.8939151678160897, 0.8938966815619005, 0.8938753075522172, 0.8938492901948487, 0.8938033637834137, 0.8937612069584702, 0.8937352472150574, 0.893678157808069, 0.8936330906113654, 0.8935948318821174, 0.8935827268325709, 0.8935601036505116, 0.8935294712982617, 0.8935109870425599, 0.8934875999245984, 0.8934722148297045, 0.8934416852038721, 0.8934047652075281, 0.8933144739934813, 0.8931915240183825, 0.8931195851875604, 0.8930697226351327, 0.8930455320190132, 0.8929910698185188, 0.8929162179936424, 0.8928569020714769, 0.8928435012411946, 0.8928312244666503, 0.892802842124222, 0.8927668475141195, 0.8927181571809321, 0.892664273606806, 0.8925966473255246, 0.8925277275897205, 0.8924385716833589, 0.8923593639132943, 0.8922423668218412, 0.8920749829495815, 0.8918801661222837, 0.8917683844293144, 0.8916845522447755, 0.8913373318732588, 0.8911327107168198, 0.8910369101879894, 0.8906421209238617, 0.8904061520486032, 0.8898555171463456, 0.8894598354241917, 0.8892172641108014, 0.8889296521550746, 0.888452167075666, 0.8877249765493882, 0.8866472048961382, 0.8858232483530368, 0.8846715447329294, 0.8832677142793941, 0.8822258915872558, 0.8809272366280984, 0.879681681076976, 0.8781999537056456, 0.8772061950113904, 0.8762782050339653, 0.8755136663251469, 0.8748518260352895, 0.8742062468596523, 0.876637645445741, 0.8757727432441926, 0.8746522415608193, 0.8733245141301943, 0.8720830504579209, 0.870825329644294, 0.8702952675437341, 0.8702223121169195, 0.8702314636159588, 0.8705044288061446, 0.871065666304163, 0.8709681114066657, 0.8709305413200008, 0.8710858012186793, 0.8710456763128122, 0.8709847524366391, 0.8722413486498569, 0.8714598281018713, 0.8708840958820173, 0.8699326377171386, 0.8690612005292525, 0.8689504799583186, 0.8688800037626906, 0.8698078621110193, 0.8702252642504624, 0.8709530839133012, 0.870904006744434, 0.8708791908177311, 0.870734349025235, 0.8708712862136637, 0.869177399859434, 0.869027810854328, 0.8690244624850071, 0.8707469670664341, 0.8706855389201924, 0.8700370764326147, 0.869941228330076, 0.8699320846685388, 0.8700789965628335, 0.872089691586848, 0.8718389436793723, 0.8715857580905706, 0.8710887050358872, 0.870452749490144, 0.8696860861538097, 0.8689255871989641, 0.8682663248197533, 0.8681024741506362, 0.8680638294892362, 0.871148200379972, 0.8709515046407141, 0.8712231923838645, 0.8710501274106774, 0.8724698609672193, 0.8722530759672285, 0.871581631398063, 0.8712913991267366, 0.8708212524327579, 0.8706312490700363, 0.8706077573238202, 0.8707352396613196, 0.8708940421797311, 0.8735373828978035, 0.8733674519868458, 0.873323642899058, 0.8733246963755925, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}, {\\\"hoverinfo\\\": \\\"skip\\\", \\\"line\\\": {\\\"color\\\": \\\"rgba(0, 200, 0, 1)\\\", \\\"width\\\": 0.0}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"\\\", \\\"showlegend\\\": false, \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.5, 0.5001, 0.5002, 0.5003, 0.5004, 0.5005, 0.5006, 0.5007, 0.5008, 0.5009, 0.501, 0.5011, 0.5012, 0.5013, 0.5014, 0.5015, 0.5016, 0.5017, 0.5018, 0.5019, 0.502, 0.5021, 0.5022, 0.5023, 0.5024, 0.5025, 0.5026, 0.5027, 0.5028, 0.5029, 0.503, 0.5031, 0.5032, 0.5033, 0.5034, 0.5035, 0.5036, 0.5037, 0.5038, 0.5039, 0.504, 0.5041, 0.5042, 0.5043, 0.5044, 0.5045, 0.5046, 0.5047, 0.5048, 0.5049, 0.505, 0.5051, 0.5052, 0.5053, 0.5054, 0.5055, 0.5056, 0.5057, 0.5058, 0.5059, 0.506, 0.5061, 0.5062, 0.5063, 0.5064, 0.5065, 0.5066, 0.5067, 0.5068, 0.5069, 0.507, 0.5071, 0.5072, 0.5073, 0.5074, 0.5075, 0.5076, 0.5077, 0.5078, 0.5079, 0.508, 0.5081, 0.5082, 0.5083, 0.5084, 0.5085, 0.5086, 0.5087, 0.5088, 0.5089, 0.509, 0.5091, 0.5092, 0.5093, 0.5094, 0.5095, 0.5096, 0.5097, 0.5098, 0.5099, 0.51, 0.5101, 0.5102, 0.5103, 0.5104, 0.5105, 0.5106, 0.5107, 0.5108, 0.5109, 0.511, 0.5111, 0.5112, 0.5113, 0.5114, 0.5115, 0.5116, 0.5117, 0.5118, 0.5119, 0.512, 0.5121, 0.5122, 0.5123, 0.5124, 0.5125, 0.5126, 0.5127, 0.5128, 0.5129, 0.513, 0.5131, 0.5132, 0.5133, 0.5134, 0.5135, 0.5136000000000001, 0.5137, 0.5138, 0.5139, 0.514, 0.5141, 0.5142, 0.5143, 0.5144, 0.5145, 0.5146, 0.5147, 0.5148, 0.5149, 0.515, 0.5151, 0.5152, 0.5153, 0.5154, 0.5155, 0.5156, 0.5157, 0.5158, 0.5159, 0.516, 0.5161, 0.5162, 0.5163, 0.5164, 0.5165, 0.5166, 0.5167, 0.5168, 0.5169, 0.517, 0.5171, 0.5172, 0.5173, 0.5174, 0.5175, 0.5176, 0.5177, 0.5178, 0.5179, 0.518, 0.5181, 0.5182, 0.5183, 0.5184, 0.5185, 0.5186, 0.5187, 0.5188, 0.5189, 0.519, 0.5191, 0.5192, 0.5193, 0.5194, 0.5195, 0.5196, 0.5197, 0.5198, 0.5199, 0.52, 0.5201, 0.5202, 0.5203, 0.5204, 0.5205, 0.5206, 0.5207, 0.5208, 0.5209, 0.521, 0.5211, 0.5212, 0.5213, 0.5214, 0.5215, 0.5216, 0.5217, 0.5218, 0.5219, 0.522, 0.5221, 0.5222, 0.5223, 0.5224, 0.5225, 0.5226, 0.5227, 0.5228, 0.5229, 0.523, 0.5231, 0.5232, 0.5233, 0.5234, 0.5235, 0.5236, 0.5237, 0.5238, 0.5239, 0.524, 0.5241, 0.5242, 0.5243, 0.5244, 0.5245, 0.5246, 0.5246999999999999, 0.5248, 0.5249, 0.525, 0.5251, 0.5252, 0.5253, 0.5254, 0.5255, 0.5256, 0.5257000000000001, 0.5258, 0.5259, 0.526, 0.5261, 0.5262, 0.5263, 0.5264, 0.5265, 0.5266, 0.5267, 0.5268, 0.5269, 0.527, 0.5271, 0.5272, 0.5273, 0.5274, 0.5275, 0.5276, 0.5277000000000001, 0.5278, 0.5279, 0.528, 0.5281, 0.5282, 0.5283, 0.5284, 0.5285, 0.5286, 0.5287, 0.5288, 0.5289, 0.529, 0.5291, 0.5292, 0.5293, 0.5294, 0.5295, 0.5296, 0.5297, 0.5298, 0.5299, 0.53, 0.5301, 0.5302, 0.5303, 0.5304, 0.5305, 0.5306, 0.5307, 0.5308, 0.5309, 0.531, 0.5311, 0.5312, 0.5313, 0.5314, 0.5315, 0.5316, 0.5317, 0.5318, 0.5319, 0.532, 0.5321, 0.5322, 0.5323, 0.5324, 0.5325, 0.5326, 0.5327, 0.5328, 0.5329, 0.533, 0.5331, 0.5332, 0.5333, 0.5334, 0.5335, 0.5336, 0.5337, 0.5338, 0.5339, 0.534, 0.5341, 0.5342, 0.5343, 0.5344, 0.5345, 0.5346, 0.5347, 0.5348, 0.5349, 0.535, 0.5351, 0.5352, 0.5353, 0.5354, 0.5355, 0.5356, 0.5357, 0.5358, 0.5359, 0.536, 0.5361, 0.5362, 0.5363, 0.5364, 0.5365, 0.5366, 0.5367, 0.5367999999999999, 0.5369, 0.537, 0.5371, 0.5372, 0.5373, 0.5374, 0.5375, 0.5376, 0.5377, 0.5378000000000001, 0.5379, 0.538, 0.5381, 0.5382, 0.5383, 0.5384, 0.5385, 0.5386, 0.5387, 0.5388, 0.5389, 0.539, 0.5391, 0.5392, 0.5393, 0.5394, 0.5395, 0.5396, 0.5397, 0.5398000000000001, 0.5399, 0.54, 0.5401, 0.5402, 0.5403, 0.5404, 0.5405, 0.5406, 0.5407, 0.5408, 0.5409, 0.541, 0.5411, 0.5412, 0.5413, 0.5414, 0.5415, 0.5416, 0.5417, 0.5418000000000001, 0.5419, 0.542, 0.5421, 0.5422, 0.5423, 0.5424, 0.5425, 0.5426, 0.5427, 0.5428, 0.5429, 0.543, 0.5431, 0.5432, 0.5433, 0.5434, 0.5435, 0.5436, 0.5437, 0.5438, 0.5439, 0.544, 0.5441, 0.5442, 0.5443, 0.5444, 0.5445, 0.5446, 0.5447, 0.5448, 0.5449, 0.545, 0.5451, 0.5452, 0.5453, 0.5454, 0.5455, 0.5456, 0.5457, 0.5458, 0.5459, 0.546, 0.5461, 0.5462, 0.5463, 0.5464, 0.5465, 0.5466, 0.5467, 0.5468, 0.5469, 0.547, 0.5471, 0.5472, 0.5473, 0.5474, 0.5475, 0.5476, 0.5477, 0.5478, 0.5479, 0.548, 0.5481, 0.5482, 0.5483, 0.5484, 0.5485, 0.5486, 0.5487, 0.5488, 0.5488999999999999, 0.549, 0.5491, 0.5492, 0.5493, 0.5494, 0.5495, 0.5496, 0.5497, 0.5498, 0.5499, 0.55, 0.5501, 0.5502, 0.5503, 0.5504, 0.5505, 0.5506, 0.5507, 0.5508, 0.5509, 0.551, 0.5511, 0.5512, 0.5513, 0.5514, 0.5515, 0.5516, 0.5517, 0.5518, 0.5519000000000001, 0.552, 0.5521, 0.5522, 0.5523, 0.5524, 0.5525, 0.5526, 0.5527, 0.5528, 0.5529, 0.553, 0.5531, 0.5532, 0.5533, 0.5534, 0.5535, 0.5536, 0.5537, 0.5538, 0.5539000000000001, 0.554, 0.5541, 0.5542, 0.5543, 0.5544, 0.5545, 0.5546, 0.5547, 0.5548, 0.5549, 0.555, 0.5551, 0.5552, 0.5553, 0.5554, 0.5555, 0.5556, 0.5557, 0.5558, 0.5559000000000001, 0.556, 0.5561, 0.5562, 0.5563, 0.5564, 0.5565, 0.5566, 0.5567, 0.5568, 0.5569, 0.557, 0.5571, 0.5572, 0.5573, 0.5574, 0.5575, 0.5576, 0.5577, 0.5578, 0.5579, 0.558, 0.5581, 0.5582, 0.5583, 0.5584, 0.5585, 0.5586, 0.5587, 0.5588, 0.5589, 0.559, 0.5591, 0.5592, 0.5593, 0.5594, 0.5595, 0.5596, 0.5597, 0.5598, 0.5599, 0.56, 0.5601, 0.5602, 0.5603, 0.5604, 0.5605, 0.5606, 0.5607, 0.5608, 0.5609, 0.561, 0.5611, 0.5612, 0.5613, 0.5614, 0.5615, 0.5616, 0.5617, 0.5618, 0.5619, 0.562, 0.5621, 0.5622, 0.5623, 0.5624, 0.5625, 0.5626, 0.5627, 0.5628, 0.5629, 0.563, 0.5631, 0.5632, 0.5633, 0.5634, 0.5635, 0.5636, 0.5637, 0.5638, 0.5639, 0.5640000000000001, 0.5641, 0.5642, 0.5643, 0.5644, 0.5645, 0.5646, 0.5647, 0.5648, 0.5649, 0.565, 0.5651, 0.5652, 0.5653, 0.5654, 0.5655, 0.5656, 0.5657, 0.5658, 0.5659, 0.5660000000000001, 0.5661, 0.5662, 0.5663, 0.5664, 0.5665, 0.5666, 0.5667, 0.5668, 0.5669, 0.567, 0.5671, 0.5672, 0.5673, 0.5674, 0.5675, 0.5676, 0.5677, 0.5678, 0.5679, 0.5680000000000001, 0.5681, 0.5682, 0.5683, 0.5684, 0.5685, 0.5686, 0.5687, 0.5688, 0.5689, 0.569, 0.5691, 0.5692, 0.5693, 0.5694, 0.5695, 0.5696, 0.5697, 0.5698, 0.5699, 0.5700000000000001, 0.5701, 0.5702, 0.5703, 0.5704, 0.5705, 0.5706, 0.5707, 0.5708, 0.5709, 0.571, 0.5710999999999999, 0.5712, 0.5713, 0.5714, 0.5715, 0.5716, 0.5717, 0.5718, 0.5719, 0.5720000000000001, 0.5721, 0.5722, 0.5723, 0.5724, 0.5725, 0.5726, 0.5727, 0.5728, 0.5729, 0.573, 0.5730999999999999, 0.5732, 0.5733, 0.5734, 0.5735, 0.5736, 0.5737, 0.5738, 0.5739, 0.5740000000000001, 0.5741, 0.5742, 0.5743, 0.5744, 0.5745, 0.5746, 0.5747, 0.5748, 0.5749, 0.575, 0.5751, 0.5752, 0.5753, 0.5754, 0.5755, 0.5756, 0.5757, 0.5758, 0.5759, 0.576, 0.5761000000000001, 0.5762, 0.5763, 0.5764, 0.5765, 0.5766, 0.5767, 0.5768, 0.5769, 0.577, 0.5771, 0.5772, 0.5773, 0.5774, 0.5775, 0.5776, 0.5777, 0.5778, 0.5779, 0.578, 0.5781000000000001, 0.5782, 0.5783, 0.5784, 0.5785, 0.5786, 0.5787, 0.5788, 0.5789, 0.579, 0.5791, 0.5792, 0.5793, 0.5794, 0.5795, 0.5796, 0.5797, 0.5798, 0.5799, 0.58, 0.5801000000000001, 0.5802, 0.5803, 0.5804, 0.5805, 0.5806, 0.5807, 0.5808, 0.5809, 0.581, 0.5811, 0.5812, 0.5813, 0.5814, 0.5815, 0.5816, 0.5817, 0.5818, 0.5819, 0.582, 0.5821000000000001, 0.5822, 0.5823, 0.5824, 0.5825, 0.5826, 0.5827, 0.5828, 0.5829, 0.583, 0.5831, 0.5832, 0.5833, 0.5834, 0.5835, 0.5836, 0.5837, 0.5838, 0.5839, 0.584, 0.5841000000000001, 0.5842, 0.5843, 0.5844, 0.5845, 0.5846, 0.5847, 0.5848, 0.5849, 0.585, 0.5851, 0.5851999999999999, 0.5853, 0.5854, 0.5855, 0.5856, 0.5857, 0.5858, 0.5859, 0.586, 0.5861000000000001, 0.5862, 0.5863, 0.5864, 0.5865, 0.5866, 0.5867, 0.5868, 0.5869, 0.587, 0.5871, 0.5871999999999999, 0.5873, 0.5874, 0.5875, 0.5876, 0.5877, 0.5878, 0.5879, 0.588, 0.5881, 0.5882000000000001, 0.5883, 0.5884, 0.5885, 0.5886, 0.5887, 0.5888, 0.5889, 0.589, 0.5891, 0.5892, 0.5893, 0.5894, 0.5895, 0.5896, 0.5897, 0.5898, 0.5899, 0.59, 0.5901, 0.5902000000000001, 0.5903, 0.5904, 0.5905, 0.5906, 0.5907, 0.5908, 0.5909, 0.591, 0.5911, 0.5912, 0.5913, 0.5914, 0.5915, 0.5916, 0.5917, 0.5918, 0.5919, 0.592, 0.5921, 0.5922000000000001, 0.5923, 0.5924, 0.5925, 0.5926, 0.5927, 0.5928, 0.5929, 0.593, 0.5931, 0.5932, 0.5933, 0.5934, 0.5935, 0.5936, 0.5937, 0.5938, 0.5939, 0.594, 0.5941, 0.5942000000000001, 0.5943, 0.5944, 0.5945, 0.5946, 0.5947, 0.5948, 0.5949, 0.595, 0.5951, 0.5952, 0.5953, 0.5954, 0.5955, 0.5956, 0.5957, 0.5958, 0.5959, 0.596, 0.5961, 0.5962000000000001, 0.5963, 0.5964, 0.5965, 0.5966, 0.5967, 0.5968, 0.5969, 0.597, 0.5971, 0.5972, 0.5973, 0.5974, 0.5975, 0.5976, 0.5977, 0.5978, 0.5979, 0.598, 0.5981, 0.5982000000000001, 0.5983, 0.5984, 0.5985, 0.5986, 0.5987, 0.5988, 0.5989, 0.599, 0.5991, 0.5992, 0.5992999999999999, 0.5994, 0.5995, 0.5996, 0.5997, 0.5998, 0.5999, 0.6, 0.6001, 0.6002000000000001, 0.6003000000000001, 0.6004, 0.6005, 0.6006, 0.6007, 0.6008, 0.6009, 0.601, 0.6011, 0.6012, 0.6013, 0.6014, 0.6015, 0.6016, 0.6017, 0.6018, 0.6019, 0.602, 0.6021, 0.6022, 0.6023000000000001, 0.6024, 0.6025, 0.6026, 0.6027, 0.6028, 0.6029, 0.603, 0.6031, 0.6032, 0.6033, 0.6034, 0.6035, 0.6036, 0.6037, 0.6038, 0.6039, 0.604, 0.6041, 0.6042, 0.6043000000000001, 0.6044, 0.6045, 0.6046, 0.6047, 0.6048, 0.6049, 0.605, 0.6051, 0.6052, 0.6053, 0.6054, 0.6055, 0.6056, 0.6057, 0.6058, 0.6059, 0.606, 0.6061, 0.6062, 0.6063000000000001, 0.6064, 0.6065, 0.6066, 0.6067, 0.6068, 0.6069, 0.607, 0.6071, 0.6072, 0.6073, 0.6074, 0.6075, 0.6076, 0.6077, 0.6078, 0.6079, 0.608, 0.6081, 0.6082, 0.6083000000000001, 0.6084, 0.6085, 0.6086, 0.6087, 0.6088, 0.6089, 0.609, 0.6091, 0.6092, 0.6093, 0.6094, 0.6095, 0.6096, 0.6097, 0.6098, 0.6099, 0.61, 0.6101, 0.6102, 0.6103000000000001, 0.6104, 0.6105, 0.6106, 0.6107, 0.6108, 0.6109, 0.611, 0.6111, 0.6112, 0.6113, 0.6113999999999999, 0.6115, 0.6116, 0.6117, 0.6118, 0.6119, 0.612, 0.6121, 0.6122, 0.6123000000000001, 0.6124, 0.6125, 0.6126, 0.6127, 0.6128, 0.6129, 0.613, 0.6131, 0.6132, 0.6133, 0.6134, 0.6135, 0.6136, 0.6137, 0.6138, 0.6139, 0.614, 0.6141, 0.6142, 0.6143, 0.6144000000000001, 0.6145, 0.6146, 0.6147, 0.6148, 0.6149, 0.615, 0.6151, 0.6152, 0.6153, 0.6154, 0.6155, 0.6156, 0.6157, 0.6158, 0.6159, 0.616, 0.6161, 0.6162, 0.6163, 0.6164000000000001, 0.6165, 0.6166, 0.6167, 0.6168, 0.6169, 0.617, 0.6171, 0.6172, 0.6173, 0.6174, 0.6175, 0.6176, 0.6177, 0.6178, 0.6179, 0.618, 0.6181, 0.6182, 0.6183, 0.6184000000000001, 0.6185, 0.6186, 0.6187, 0.6188, 0.6189, 0.619, 0.6191, 0.6192, 0.6193, 0.6194, 0.6195, 0.6196, 0.6197, 0.6198, 0.6199, 0.62, 0.6201, 0.6202, 0.6203, 0.6204000000000001, 0.6205, 0.6206, 0.6207, 0.6208, 0.6209, 0.621, 0.6211, 0.6212, 0.6213, 0.6214, 0.6215, 0.6216, 0.6217, 0.6218, 0.6219, 0.622, 0.6221, 0.6222, 0.6223, 0.6224000000000001, 0.6225, 0.6226, 0.6227, 0.6228, 0.6229, 0.623, 0.6231, 0.6232, 0.6233, 0.6234, 0.6235, 0.6236, 0.6237, 0.6238, 0.6239, 0.624, 0.6241, 0.6242, 0.6243, 0.6244000000000001, 0.6245, 0.6246, 0.6247, 0.6248, 0.6249, 0.625, 0.6251, 0.6252, 0.6253, 0.6254, 0.6255, 0.6256, 0.6257, 0.6258, 0.6259, 0.626, 0.6261, 0.6262, 0.6263, 0.6264000000000001, 0.6265000000000001, 0.6266, 0.6267, 0.6268, 0.6269, 0.627, 0.6271, 0.6272, 0.6273, 0.6274, 0.6275, 0.6276, 0.6277, 0.6278, 0.6279, 0.628, 0.6281, 0.6282, 0.6283, 0.6284000000000001, 0.6285000000000001, 0.6286, 0.6287, 0.6288, 0.6289, 0.629, 0.6291, 0.6292, 0.6293, 0.6294, 0.6295, 0.6295999999999999, 0.6297, 0.6298, 0.6299, 0.63, 0.6301, 0.6302, 0.6303, 0.6304000000000001, 0.6305000000000001, 0.6306, 0.6307, 0.6308, 0.6309, 0.631, 0.6311, 0.6312, 0.6313, 0.6314, 0.6315, 0.6315999999999999, 0.6317, 0.6318, 0.6319, 0.632, 0.6321, 0.6322, 0.6323, 0.6324000000000001, 0.6325000000000001, 0.6326, 0.6327, 0.6328, 0.6329, 0.633, 0.6331, 0.6332, 0.6333, 0.6334, 0.6335, 0.6335999999999999, 0.6337, 0.6338, 0.6339, 0.634, 0.6341, 0.6342, 0.6343, 0.6344000000000001, 0.6345000000000001, 0.6346, 0.6347, 0.6348, 0.6349, 0.635, 0.6351, 0.6352, 0.6353, 0.6354, 0.6355, 0.6355999999999999, 0.6357, 0.6358, 0.6359, 0.636, 0.6361, 0.6362, 0.6363, 0.6364, 0.6365000000000001, 0.6366, 0.6367, 0.6368, 0.6369, 0.637, 0.6371, 0.6372, 0.6373, 0.6374, 0.6375, 0.6376, 0.6377, 0.6378, 0.6379, 0.638, 0.6381, 0.6382, 0.6383, 0.6384, 0.6385000000000001, 0.6386000000000001, 0.6387, 0.6388, 0.6389, 0.639, 0.6391, 0.6392, 0.6393, 0.6394, 0.6395, 0.6396, 0.6397, 0.6398, 0.6399, 0.64, 0.6401, 0.6402, 0.6403, 0.6404, 0.6405000000000001, 0.6406000000000001, 0.6407, 0.6408, 0.6409, 0.641, 0.6411, 0.6412, 0.6413, 0.6414, 0.6415, 0.6416, 0.6417, 0.6418, 0.6419, 0.642, 0.6421, 0.6422, 0.6423, 0.6424, 0.6425000000000001, 0.6426000000000001, 0.6427, 0.6428, 0.6429, 0.643, 0.6431, 0.6432, 0.6433, 0.6434, 0.6435, 0.6436, 0.6436999999999999, 0.6438, 0.6439, 0.644, 0.6441, 0.6442, 0.6443, 0.6444, 0.6445000000000001, 0.6446000000000001, 0.6447, 0.6448, 0.6449, 0.645, 0.6451, 0.6452, 0.6453, 0.6454, 0.6455, 0.6456, 0.6456999999999999, 0.6458, 0.6459, 0.646, 0.6461, 0.6462, 0.6463, 0.6464, 0.6465000000000001, 0.6466000000000001, 0.6467, 0.6468, 0.6469, 0.647, 0.6471, 0.6472, 0.6473, 0.6474, 0.6475, 0.6476, 0.6476999999999999, 0.6478, 0.6479, 0.648, 0.6481, 0.6482, 0.6483, 0.6484, 0.6485000000000001, 0.6486000000000001, 0.6487, 0.6488, 0.6489, 0.649, 0.6491, 0.6492, 0.6493, 0.6494, 0.6495, 0.6496, 0.6496999999999999, 0.6498, 0.6499, 0.65, 0.6501, 0.6502, 0.6503, 0.6504, 0.6505, 0.6506000000000001, 0.6507000000000001, 0.6508, 0.6509, 0.651, 0.6511, 0.6512, 0.6513, 0.6514, 0.6515, 0.6516, 0.6517, 0.6518, 0.6519, 0.652, 0.6521, 0.6522, 0.6523, 0.6524, 0.6525, 0.6526000000000001, 0.6527000000000001, 0.6528, 0.6529, 0.653, 0.6531, 0.6532, 0.6533, 0.6534, 0.6535, 0.6536, 0.6537, 0.6538, 0.6539, 0.654, 0.6541, 0.6542, 0.6543, 0.6544, 0.6545, 0.6546000000000001, 0.6547000000000001, 0.6548, 0.6549, 0.655, 0.6551, 0.6552, 0.6553, 0.6554, 0.6555, 0.6556, 0.6557, 0.6557999999999999, 0.6559, 0.656, 0.6561, 0.6562, 0.6563, 0.6564, 0.6565, 0.6566000000000001, 0.6567000000000001, 0.6568, 0.6569, 0.657, 0.6571, 0.6572, 0.6573, 0.6574, 0.6575, 0.6576, 0.6577, 0.6577999999999999, 0.6579, 0.658, 0.6581, 0.6582, 0.6583, 0.6584, 0.6585, 0.6586000000000001, 0.6587000000000001, 0.6588, 0.6589, 0.659, 0.6591, 0.6592, 0.6593, 0.6594, 0.6595, 0.6596, 0.6597, 0.6597999999999999, 0.6599, 0.66, 0.6601, 0.6602, 0.6603, 0.6604, 0.6605, 0.6606000000000001, 0.6607000000000001, 0.6608, 0.6609, 0.661, 0.6611, 0.6612, 0.6613, 0.6614, 0.6615, 0.6616, 0.6617, 0.6617999999999999, 0.6619, 0.662, 0.6621, 0.6622, 0.6623, 0.6624, 0.6625, 0.6626, 0.6627000000000001, 0.6628000000000001, 0.6629, 0.663, 0.6631, 0.6632, 0.6633, 0.6634, 0.6635, 0.6636, 0.6637, 0.6638, 0.6639, 0.664, 0.6641, 0.6642, 0.6643, 0.6644, 0.6645, 0.6646, 0.6647000000000001, 0.6648000000000001, 0.6649, 0.665, 0.6651, 0.6652, 0.6653, 0.6654, 0.6655, 0.6656, 0.6657, 0.6658, 0.6659, 0.666, 0.6661, 0.6662, 0.6663, 0.6664, 0.6665, 0.6666, 0.6667000000000001, 0.6668000000000001, 0.6669, 0.667, 0.6671, 0.6672, 0.6673, 0.6674, 0.6675, 0.6676, 0.6677, 0.6678, 0.6679, 0.668, 0.6681, 0.6682, 0.6683, 0.6684, 0.6685, 0.6686, 0.6687000000000001, 0.6688000000000001, 0.6689, 0.669, 0.6691, 0.6692, 0.6693, 0.6694, 0.6695, 0.6696, 0.6697, 0.6698, 0.6698999999999999, 0.67, 0.6701, 0.6702, 0.6703, 0.6704, 0.6705, 0.6706, 0.6707000000000001, 0.6708000000000001, 0.6709, 0.671, 0.6711, 0.6712, 0.6713, 0.6714, 0.6715, 0.6716, 0.6717, 0.6718, 0.6718999999999999, 0.672, 0.6721, 0.6722, 0.6723, 0.6724, 0.6725, 0.6726, 0.6727000000000001, 0.6728000000000001, 0.6729, 0.673, 0.6731, 0.6732, 0.6733, 0.6734, 0.6735, 0.6736, 0.6737, 0.6738, 0.6738999999999999, 0.674, 0.6741, 0.6742, 0.6743, 0.6744, 0.6745, 0.6746, 0.6747000000000001, 0.6748000000000001, 0.6749, 0.675, 0.6751, 0.6752, 0.6753, 0.6754, 0.6755, 0.6756, 0.6757, 0.6758, 0.6759, 0.676, 0.6761, 0.6762, 0.6763, 0.6764, 0.6765, 0.6766, 0.6767, 0.6768000000000001, 0.6769000000000001, 0.677, 0.6771, 0.6772, 0.6773, 0.6774, 0.6775, 0.6776, 0.6777, 0.6778, 0.6779, 0.678, 0.6781, 0.6782, 0.6783, 0.6784, 0.6785, 0.6786, 0.6787, 0.6788000000000001, 0.6789000000000001, 0.679, 0.6791, 0.6792, 0.6793, 0.6794, 0.6795, 0.6796, 0.6797, 0.6798, 0.6799, 0.68, 0.6801, 0.6802, 0.6803, 0.6804, 0.6805, 0.6806, 0.6807, 0.6808000000000001, 0.6809000000000001, 0.681, 0.6811, 0.6812, 0.6813, 0.6814, 0.6815, 0.6816, 0.6817, 0.6818, 0.6819, 0.6819999999999999, 0.6821, 0.6822, 0.6823, 0.6824, 0.6825, 0.6826, 0.6827, 0.6828000000000001, 0.6829000000000001, 0.683, 0.6831, 0.6832, 0.6833, 0.6834, 0.6835, 0.6836, 0.6837, 0.6838, 0.6839, 0.6839999999999999, 0.6841, 0.6842, 0.6843, 0.6844, 0.6845, 0.6846, 0.6847, 0.6848000000000001, 0.6849000000000001, 0.685, 0.6851, 0.6852, 0.6853, 0.6854, 0.6855, 0.6856, 0.6857, 0.6858, 0.6859, 0.6859999999999999, 0.6861, 0.6862, 0.6863, 0.6864, 0.6865, 0.6866, 0.6867, 0.6868000000000001, 0.6869000000000001, 0.687, 0.6871, 0.6872, 0.6873, 0.6874, 0.6875, 0.6876, 0.6877, 0.6878, 0.6879, 0.688, 0.6881, 0.6882, 0.6883, 0.6884, 0.6885, 0.6886, 0.6887, 0.6888, 0.6889000000000001, 0.6890000000000001, 0.6891, 0.6892, 0.6893, 0.6894, 0.6895, 0.6896, 0.6897, 0.6898, 0.6899, 0.69, 0.6901, 0.6902, 0.6903, 0.6904, 0.6905, 0.6906, 0.6907, 0.6908, 0.6909000000000001, 0.6910000000000001, 0.6911, 0.6912, 0.6913, 0.6914, 0.6915, 0.6916, 0.6917, 0.6918, 0.6919, 0.692, 0.6921, 0.6922, 0.6923, 0.6924, 0.6925, 0.6926, 0.6927, 0.6928, 0.6929000000000001, 0.6930000000000001, 0.6931, 0.6932, 0.6933, 0.6934, 0.6935, 0.6936, 0.6937, 0.6938, 0.6939, 0.694, 0.6941, 0.6942, 0.6943, 0.6944, 0.6945, 0.6946, 0.6947, 0.6948, 0.6949000000000001, 0.6950000000000001, 0.6951, 0.6952, 0.6953, 0.6954, 0.6955, 0.6956, 0.6957, 0.6958, 0.6959, 0.696, 0.6960999999999999, 0.6962, 0.6963, 0.6964, 0.6965, 0.6966, 0.6967, 0.6968, 0.6969000000000001, 0.6970000000000001, 0.6971, 0.6972, 0.6973, 0.6974, 0.6975, 0.6976, 0.6977, 0.6978, 0.6979, 0.698, 0.6980999999999999, 0.6982, 0.6983, 0.6984, 0.6985, 0.6986, 0.6987, 0.6988, 0.6989000000000001, 0.6990000000000001, 0.6991, 0.6992, 0.6993, 0.6994, 0.6995, 0.6996, 0.6997, 0.6998, 0.6999, 0.7, 0.7001, 0.7002, 0.7003, 0.7004, 0.7005, 0.7006, 0.7007, 0.7008, 0.7009000000000001, 0.7010000000000001, 0.7011000000000001, 0.7012, 0.7013, 0.7014, 0.7015, 0.7016, 0.7017, 0.7018, 0.7019, 0.702, 0.7021, 0.7022, 0.7023, 0.7024, 0.7025, 0.7026, 0.7027, 0.7028, 0.7029, 0.7030000000000001, 0.7031000000000001, 0.7032, 0.7033, 0.7034, 0.7035, 0.7036, 0.7037, 0.7038, 0.7039, 0.704, 0.7041, 0.7042, 0.7043, 0.7044, 0.7045, 0.7046, 0.7047, 0.7048, 0.7049, 0.7050000000000001, 0.7051000000000001, 0.7052, 0.7053, 0.7054, 0.7055, 0.7056, 0.7057, 0.7058, 0.7059, 0.706, 0.7061, 0.7062, 0.7063, 0.7064, 0.7065, 0.7066, 0.7067, 0.7068, 0.7069, 0.7070000000000001, 0.7071000000000001, 0.7072, 0.7073, 0.7074, 0.7075, 0.7076, 0.7077, 0.7078, 0.7079, 0.708, 0.7081, 0.7081999999999999, 0.7083, 0.7084, 0.7085, 0.7086, 0.7087, 0.7088, 0.7089, 0.7090000000000001, 0.7091000000000001, 0.7092, 0.7093, 0.7094, 0.7095, 0.7096, 0.7097, 0.7098, 0.7099, 0.71, 0.7101, 0.7101999999999999, 0.7103, 0.7104, 0.7105, 0.7106, 0.7107, 0.7108, 0.7109, 0.7110000000000001, 0.7111000000000001, 0.7112, 0.7113, 0.7114, 0.7115, 0.7116, 0.7117, 0.7118, 0.7119, 0.712, 0.7121, 0.7121999999999999, 0.7123, 0.7124, 0.7125, 0.7126, 0.7127, 0.7128, 0.7129, 0.7130000000000001, 0.7131000000000001, 0.7132000000000001, 0.7133, 0.7134, 0.7135, 0.7136, 0.7137, 0.7138, 0.7139, 0.714, 0.7141, 0.7142, 0.7143, 0.7144, 0.7145, 0.7146, 0.7147, 0.7148, 0.7149, 0.715, 0.7151000000000001, 0.7152000000000001, 0.7153, 0.7154, 0.7155, 0.7156, 0.7157, 0.7158, 0.7159, 0.716, 0.7161, 0.7162, 0.7163, 0.7164, 0.7165, 0.7166, 0.7167, 0.7168, 0.7169, 0.717, 0.7171000000000001, 0.7172000000000001, 0.7173, 0.7174, 0.7175, 0.7176, 0.7177, 0.7178, 0.7179, 0.718, 0.7181, 0.7182, 0.7183, 0.7184, 0.7185, 0.7186, 0.7187, 0.7188, 0.7189, 0.719, 0.7191000000000001, 0.7192000000000001, 0.7193, 0.7194, 0.7195, 0.7196, 0.7197, 0.7198, 0.7199, 0.72, 0.7201, 0.7202, 0.7203, 0.7204, 0.7205, 0.7206, 0.7207, 0.7208, 0.7209, 0.721, 0.7211000000000001, 0.7212000000000001, 0.7213, 0.7214, 0.7215, 0.7216, 0.7217, 0.7218, 0.7219, 0.722, 0.7221, 0.7222, 0.7222999999999999, 0.7224, 0.7225, 0.7226, 0.7227, 0.7228, 0.7229, 0.723, 0.7231000000000001, 0.7232000000000001, 0.7233, 0.7234, 0.7235, 0.7236, 0.7237, 0.7238, 0.7239, 0.724, 0.7241, 0.7242, 0.7242999999999999, 0.7244, 0.7245, 0.7246, 0.7247, 0.7248, 0.7249, 0.725, 0.7251000000000001, 0.7252000000000001, 0.7253000000000001, 0.7254, 0.7255, 0.7256, 0.7257, 0.7258, 0.7259, 0.726, 0.7261, 0.7262, 0.7263, 0.7264, 0.7265, 0.7266, 0.7267, 0.7268, 0.7269, 0.727, 0.7271000000000001, 0.7272000000000001, 0.7273000000000001, 0.7274, 0.7275, 0.7276, 0.7277, 0.7278, 0.7279, 0.728, 0.7281, 0.7282, 0.7283, 0.7284, 0.7285, 0.7286, 0.7287, 0.7288, 0.7289, 0.729, 0.7291, 0.7292000000000001, 0.7293000000000001, 0.7294, 0.7295, 0.7296, 0.7297, 0.7298, 0.7299, 0.73, 0.7301, 0.7302, 0.7303, 0.7304, 0.7305, 0.7306, 0.7307, 0.7308, 0.7309, 0.731, 0.7311, 0.7312000000000001, 0.7313000000000001, 0.7314, 0.7315, 0.7316, 0.7317, 0.7318, 0.7319, 0.732, 0.7321, 0.7322, 0.7323, 0.7324, 0.7325, 0.7326, 0.7327, 0.7328, 0.7329, 0.733, 0.7331, 0.7332000000000001, 0.7333000000000001, 0.7334, 0.7335, 0.7336, 0.7337, 0.7338, 0.7339, 0.734, 0.7341, 0.7342, 0.7343, 0.7344, 0.7345, 0.7346, 0.7347, 0.7348, 0.7349, 0.735, 0.7351, 0.7352000000000001, 0.7353000000000001, 0.7354, 0.7355, 0.7356, 0.7357, 0.7358, 0.7359, 0.736, 0.7361, 0.7362, 0.7363, 0.7363999999999999, 0.7365, 0.7366, 0.7367, 0.7368, 0.7369, 0.737, 0.7371, 0.7372000000000001, 0.7373000000000001, 0.7374, 0.7375, 0.7376, 0.7377, 0.7378, 0.7379, 0.738, 0.7381, 0.7382, 0.7383, 0.7384, 0.7385, 0.7386, 0.7387, 0.7388, 0.7389, 0.739, 0.7391, 0.7392000000000001, 0.7393000000000001, 0.7394000000000001, 0.7395, 0.7396, 0.7397, 0.7398, 0.7399, 0.74, 0.7401, 0.7402, 0.7403, 0.7404, 0.7405, 0.7406, 0.7407, 0.7408, 0.7409, 0.741, 0.7411, 0.7412, 0.7413000000000001, 0.7414000000000001, 0.7415, 0.7416, 0.7417, 0.7418, 0.7419, 0.742, 0.7421, 0.7422, 0.7423, 0.7424, 0.7425, 0.7426, 0.7427, 0.7428, 0.7429, 0.743, 0.7431, 0.7432, 0.7433000000000001, 0.7434000000000001, 0.7435, 0.7436, 0.7437, 0.7438, 0.7439, 0.744, 0.7441, 0.7442, 0.7443, 0.7444, 0.7445, 0.7446, 0.7447, 0.7448, 0.7449, 0.745, 0.7451, 0.7452, 0.7453000000000001, 0.7454000000000001, 0.7455, 0.7456, 0.7457, 0.7458, 0.7459, 0.746, 0.7461, 0.7462, 0.7463, 0.7464, 0.7465, 0.7466, 0.7467, 0.7468, 0.7469, 0.747, 0.7471, 0.7472, 0.7473000000000001, 0.7474000000000001, 0.7475, 0.7476, 0.7477, 0.7478, 0.7479, 0.748, 0.7481, 0.7482, 0.7483, 0.7484, 0.7484999999999999, 0.7486, 0.7487, 0.7488, 0.7489, 0.749, 0.7491, 0.7492, 0.7493000000000001, 0.7494000000000001, 0.7495, 0.7496, 0.7497, 0.7498, 0.7499, 0.75, 0.7501, 0.7502, 0.7503, 0.7504, 0.7505, 0.7505999999999999, 0.7507, 0.7508, 0.7509, 0.751, 0.7511, 0.7512000000000001, 0.7513000000000001, 0.7514000000000001, 0.7515000000000001, 0.7516, 0.7517, 0.7518, 0.7519, 0.752, 0.7521, 0.7522, 0.7523, 0.7524, 0.7525, 0.7525999999999999, 0.7527, 0.7528, 0.7529, 0.753, 0.7531, 0.7532000000000001, 0.7533000000000001, 0.7534000000000001, 0.7535000000000001, 0.7536, 0.7537, 0.7538, 0.7539, 0.754, 0.7541, 0.7542, 0.7543, 0.7544, 0.7545, 0.7545999999999999, 0.7547, 0.7548, 0.7549, 0.755, 0.7551, 0.7552000000000001, 0.7553000000000001, 0.7554000000000001, 0.7555000000000001, 0.7556, 0.7557, 0.7558, 0.7559, 0.756, 0.7561, 0.7562, 0.7563, 0.7564, 0.7565, 0.7565999999999999, 0.7567, 0.7568, 0.7569, 0.757, 0.7571, 0.7572000000000001, 0.7573000000000001, 0.7574000000000001, 0.7575000000000001, 0.7576, 0.7577, 0.7578, 0.7579, 0.758, 0.7581, 0.7582, 0.7583, 0.7584, 0.7585, 0.7585999999999999, 0.7586999999999999, 0.7588, 0.7589, 0.759, 0.7591, 0.7592, 0.7593000000000001, 0.7594000000000001, 0.7595000000000001, 0.7596, 0.7597, 0.7598, 0.7599, 0.76, 0.7601, 0.7602, 0.7603, 0.7604, 0.7605, 0.7605999999999999, 0.7606999999999999, 0.7608, 0.7609, 0.761, 0.7611, 0.7612, 0.7613000000000001, 0.7614000000000001, 0.7615000000000001, 0.7616, 0.7617, 0.7618, 0.7619, 0.762, 0.7621, 0.7622, 0.7623, 0.7624, 0.7625, 0.7626, 0.7626999999999999, 0.7628, 0.7629, 0.763, 0.7631, 0.7632, 0.7633000000000001, 0.7634000000000001, 0.7635000000000001, 0.7636000000000001, 0.7637, 0.7638, 0.7639, 0.764, 0.7641, 0.7642, 0.7643, 0.7644, 0.7645, 0.7646, 0.7646999999999999, 0.7648, 0.7649, 0.765, 0.7651, 0.7652, 0.7653000000000001, 0.7654000000000001, 0.7655000000000001, 0.7656000000000001, 0.7657, 0.7658, 0.7659, 0.766, 0.7661, 0.7662, 0.7663, 0.7664, 0.7665, 0.7666, 0.7666999999999999, 0.7668, 0.7669, 0.767, 0.7671, 0.7672, 0.7673000000000001, 0.7674000000000001, 0.7675000000000001, 0.7676000000000001, 0.7677, 0.7678, 0.7679, 0.768, 0.7681, 0.7682, 0.7683, 0.7684, 0.7685, 0.7686, 0.7686999999999999, 0.7688, 0.7689, 0.769, 0.7691, 0.7692, 0.7693000000000001, 0.7694000000000001, 0.7695000000000001, 0.7696000000000001, 0.7697, 0.7698, 0.7699, 0.77, 0.7701, 0.7702, 0.7703, 0.7704, 0.7705, 0.7706, 0.7706999999999999, 0.7708, 0.7709, 0.771, 0.7711, 0.7712, 0.7713, 0.7714000000000001, 0.7715000000000001, 0.7716000000000001, 0.7717, 0.7718, 0.7719, 0.772, 0.7721, 0.7722, 0.7723, 0.7724, 0.7725, 0.7726, 0.7726999999999999, 0.7727999999999999, 0.7729, 0.773, 0.7731, 0.7732, 0.7733, 0.7734000000000001, 0.7735000000000001, 0.7736000000000001, 0.7737, 0.7738, 0.7739, 0.774, 0.7741, 0.7742, 0.7743, 0.7744, 0.7745, 0.7746, 0.7746999999999999, 0.7747999999999999, 0.7749, 0.775, 0.7751, 0.7752, 0.7753, 0.7754000000000001, 0.7755000000000001, 0.7756000000000001, 0.7757000000000001, 0.7758, 0.7759, 0.776, 0.7761, 0.7762, 0.7763, 0.7764, 0.7765, 0.7766, 0.7767, 0.7767999999999999, 0.7769, 0.777, 0.7771, 0.7772, 0.7773, 0.7774000000000001, 0.7775000000000001, 0.7776000000000001, 0.7777000000000001, 0.7778, 0.7779, 0.778, 0.7781, 0.7782, 0.7783, 0.7784, 0.7785, 0.7786, 0.7787, 0.7787999999999999, 0.7789, 0.779, 0.7791, 0.7792, 0.7793, 0.7794000000000001, 0.7795000000000001, 0.7796000000000001, 0.7797000000000001, 0.7798, 0.7799, 0.78, 0.7801, 0.7802, 0.7803, 0.7804, 0.7805, 0.7806, 0.7807, 0.7807999999999999, 0.7809, 0.781, 0.7811, 0.7812, 0.7813, 0.7814000000000001, 0.7815000000000001, 0.7816000000000001, 0.7817000000000001, 0.7818, 0.7819, 0.782, 0.7821, 0.7822, 0.7823, 0.7824, 0.7825, 0.7826, 0.7827, 0.7827999999999999, 0.7829, 0.783, 0.7831, 0.7832, 0.7833, 0.7834000000000001, 0.7835000000000001, 0.7836000000000001, 0.7837000000000001, 0.7838, 0.7839, 0.784, 0.7841, 0.7842, 0.7843, 0.7844, 0.7845, 0.7846, 0.7847, 0.7847999999999999, 0.7848999999999999, 0.785, 0.7851, 0.7852, 0.7853, 0.7854, 0.7855000000000001, 0.7856000000000001, 0.7857000000000001, 0.7858, 0.7859, 0.786, 0.7861, 0.7862, 0.7863, 0.7864, 0.7865, 0.7866, 0.7867, 0.7867999999999999, 0.7868999999999999, 0.787, 0.7871, 0.7872, 0.7873, 0.7874, 0.7875000000000001, 0.7876000000000001, 0.7877000000000001, 0.7878000000000001, 0.7879, 0.788, 0.7881, 0.7882, 0.7883, 0.7884, 0.7885, 0.7886, 0.7887, 0.7888, 0.7888999999999999, 0.789, 0.7891, 0.7892, 0.7893, 0.7894, 0.7895000000000001, 0.7896000000000001, 0.7897000000000001, 0.7898000000000001, 0.7899, 0.79, 0.7901, 0.7902, 0.7903, 0.7904, 0.7905, 0.7906, 0.7907, 0.7908, 0.7908999999999999, 0.791, 0.7911, 0.7912, 0.7913, 0.7914, 0.7915000000000001, 0.7916000000000001, 0.7917000000000001, 0.7918000000000001, 0.7919, 0.792, 0.7921, 0.7922, 0.7923, 0.7924, 0.7925, 0.7926, 0.7927, 0.7928, 0.7928999999999999, 0.793, 0.7931, 0.7932, 0.7933, 0.7934, 0.7935000000000001, 0.7936000000000001, 0.7937000000000001, 0.7938000000000001, 0.7939, 0.794, 0.7941, 0.7942, 0.7943, 0.7944, 0.7945, 0.7946, 0.7947, 0.7948, 0.7948999999999999, 0.795, 0.7951, 0.7952, 0.7953, 0.7954, 0.7955000000000001, 0.7956000000000001, 0.7957000000000001, 0.7958000000000001, 0.7959, 0.796, 0.7961, 0.7962, 0.7963, 0.7964, 0.7965, 0.7966, 0.7967, 0.7968, 0.7968999999999999, 0.797, 0.7971, 0.7972, 0.7973, 0.7974, 0.7975, 0.7976000000000001, 0.7977000000000001, 0.7978000000000001, 0.7979, 0.798, 0.7981, 0.7982, 0.7983, 0.7984, 0.7985, 0.7986, 0.7987, 0.7988, 0.7988999999999999, 0.7989999999999999, 0.7991, 0.7992, 0.7993, 0.7994, 0.7995, 0.7996000000000001, 0.7997000000000001, 0.7998000000000001, 0.7999, 0.8, 0.8001, 0.8002, 0.8003, 0.8004, 0.8005, 0.8006, 0.8007, 0.8008, 0.8009, 0.8009999999999999, 0.8011, 0.8012, 0.8013, 0.8014, 0.8015, 0.8016000000000001, 0.8017000000000001, 0.8018000000000001, 0.8019000000000001, 0.802, 0.8021, 0.8022, 0.8023, 0.8024, 0.8025, 0.8026, 0.8027, 0.8028, 0.8029, 0.8029999999999999, 0.8031, 0.8032, 0.8033, 0.8034, 0.8035, 0.8036000000000001, 0.8037000000000001, 0.8038000000000001, 0.8039000000000001, 0.804, 0.8041, 0.8042, 0.8043, 0.8044, 0.8045, 0.8046, 0.8047, 0.8048, 0.8049, 0.8049999999999999, 0.8051, 0.8052, 0.8053, 0.8054, 0.8055, 0.8056000000000001, 0.8057000000000001, 0.8058000000000001, 0.8059000000000001, 0.806, 0.8061, 0.8062, 0.8063, 0.8064, 0.8065, 0.8066, 0.8067, 0.8068, 0.8069, 0.8069999999999999, 0.8071, 0.8072, 0.8073, 0.8074, 0.8075, 0.8076000000000001, 0.8077000000000001, 0.8078000000000001, 0.8079000000000001, 0.808, 0.8081, 0.8082, 0.8083, 0.8084, 0.8085, 0.8086, 0.8087, 0.8088, 0.8089, 0.8089999999999999, 0.8091, 0.8092, 0.8093, 0.8094, 0.8095, 0.8096000000000001, 0.8097000000000001, 0.8098000000000001, 0.8099000000000001, 0.81, 0.8101, 0.8102, 0.8103, 0.8104, 0.8105, 0.8106, 0.8107, 0.8108, 0.8109, 0.8109999999999999, 0.8110999999999999, 0.8112, 0.8113, 0.8114, 0.8115, 0.8116, 0.8117000000000001, 0.8118000000000001, 0.8119000000000001, 0.812, 0.8121, 0.8122, 0.8123, 0.8124, 0.8125, 0.8126, 0.8127, 0.8128, 0.8129, 0.813, 0.8130999999999999, 0.8132, 0.8133, 0.8134, 0.8135, 0.8136, 0.8137000000000001, 0.8138000000000001, 0.8139000000000001, 0.8140000000000001, 0.8141, 0.8142, 0.8143, 0.8144, 0.8145, 0.8146, 0.8147, 0.8148, 0.8149, 0.815, 0.8150999999999999, 0.8152, 0.8153, 0.8154, 0.8155, 0.8156, 0.8157000000000001, 0.8158000000000001, 0.8159000000000001, 0.8160000000000001, 0.8161, 0.8162, 0.8163, 0.8164, 0.8165, 0.8166, 0.8167, 0.8168, 0.8169, 0.817, 0.8170999999999999, 0.8172, 0.8173, 0.8174, 0.8175, 0.8176, 0.8177000000000001, 0.8178000000000001, 0.8179000000000001, 0.8180000000000001, 0.8181, 0.8182, 0.8183, 0.8184, 0.8185, 0.8186, 0.8187, 0.8188, 0.8189, 0.819, 0.8190999999999999, 0.8192, 0.8193, 0.8194, 0.8195, 0.8196, 0.8197000000000001, 0.8198000000000001, 0.8199000000000001, 0.8200000000000001, 0.8201, 0.8202, 0.8203, 0.8204, 0.8205, 0.8206, 0.8207, 0.8208, 0.8209, 0.821, 0.8210999999999999, 0.8212, 0.8213, 0.8214, 0.8215, 0.8216, 0.8217000000000001, 0.8218000000000001, 0.8219000000000001, 0.8220000000000001, 0.8221, 0.8222, 0.8223, 0.8224, 0.8225, 0.8226, 0.8227, 0.8228, 0.8229, 0.823, 0.8230999999999999, 0.8232, 0.8233, 0.8234, 0.8235, 0.8236, 0.8237000000000001, 0.8238000000000001, 0.8239000000000001, 0.8240000000000001, 0.8241, 0.8242, 0.8243, 0.8244, 0.8245, 0.8246, 0.8247, 0.8248, 0.8249, 0.825, 0.8251, 0.8251999999999999, 0.8253, 0.8254, 0.8255, 0.8256, 0.8257, 0.8258000000000001, 0.8259000000000001, 0.8260000000000001, 0.8261000000000001, 0.8262, 0.8263, 0.8264, 0.8265, 0.8266, 0.8267, 0.8268, 0.8269, 0.827, 0.8271, 0.8271999999999999, 0.8273, 0.8274, 0.8275, 0.8276, 0.8277, 0.8278000000000001, 0.8279000000000001, 0.8280000000000001, 0.8281000000000001, 0.8282, 0.8283, 0.8284, 0.8285, 0.8286, 0.8287, 0.8288, 0.8289, 0.829, 0.8291, 0.8291999999999999, 0.8293, 0.8294, 0.8295, 0.8296, 0.8297, 0.8298000000000001, 0.8299000000000001, 0.8300000000000001, 0.8301000000000001, 0.8302, 0.8303, 0.8304, 0.8305, 0.8306, 0.8307, 0.8308, 0.8309, 0.831, 0.8311, 0.8311999999999999, 0.8313, 0.8314, 0.8315, 0.8316, 0.8317, 0.8318000000000001, 0.8319000000000001, 0.8320000000000001, 0.8321000000000001, 0.8322, 0.8323, 0.8324, 0.8325, 0.8326, 0.8327, 0.8328, 0.8329, 0.833, 0.8331, 0.8331999999999999, 0.8333, 0.8334, 0.8335, 0.8336, 0.8337, 0.8338000000000001, 0.8339000000000001, 0.8340000000000001, 0.8341000000000001, 0.8342, 0.8343, 0.8344, 0.8345, 0.8346, 0.8347, 0.8348, 0.8349, 0.835, 0.8351, 0.8351999999999999, 0.8353, 0.8354, 0.8355, 0.8356, 0.8357, 0.8358000000000001, 0.8359000000000001, 0.8360000000000001, 0.8361000000000001, 0.8362, 0.8363, 0.8364, 0.8365, 0.8366, 0.8367, 0.8368, 0.8369, 0.837, 0.8371, 0.8371999999999999, 0.8372999999999999, 0.8374, 0.8375, 0.8376, 0.8377, 0.8378, 0.8379000000000001, 0.8380000000000001, 0.8381000000000001, 0.8382000000000001, 0.8383, 0.8384, 0.8385, 0.8386, 0.8387, 0.8388, 0.8389, 0.839, 0.8391, 0.8392, 0.8392999999999999, 0.8394, 0.8395, 0.8396, 0.8397, 0.8398, 0.8399000000000001, 0.8400000000000001, 0.8401000000000001, 0.8402000000000001, 0.8403, 0.8404, 0.8405, 0.8406, 0.8407, 0.8408, 0.8409, 0.841, 0.8411, 0.8412, 0.8412999999999999, 0.8414, 0.8415, 0.8416, 0.8417, 0.8418, 0.8419000000000001, 0.8420000000000001, 0.8421000000000001, 0.8422000000000001, 0.8423, 0.8424, 0.8425, 0.8426, 0.8427, 0.8428, 0.8429, 0.843, 0.8431, 0.8432, 0.8432999999999999, 0.8434, 0.8435, 0.8436, 0.8437, 0.8438, 0.8439000000000001, 0.8440000000000001, 0.8441000000000001, 0.8442000000000001, 0.8443, 0.8444, 0.8445, 0.8446, 0.8447, 0.8448, 0.8449, 0.845, 0.8451, 0.8452, 0.8452999999999999, 0.8454, 0.8455, 0.8456, 0.8457, 0.8458, 0.8459000000000001, 0.8460000000000001, 0.8461000000000001, 0.8462000000000001, 0.8463, 0.8464, 0.8465, 0.8466, 0.8467, 0.8468, 0.8469, 0.847, 0.8471, 0.8472, 0.8472999999999999, 0.8474, 0.8475, 0.8476, 0.8477, 0.8478, 0.8479000000000001, 0.8480000000000001, 0.8481000000000001, 0.8482000000000001, 0.8483, 0.8484, 0.8485, 0.8486, 0.8487, 0.8488, 0.8489, 0.849, 0.8491, 0.8492, 0.8492999999999999, 0.8494, 0.8495, 0.8496, 0.8497, 0.8498, 0.8499000000000001, 0.8500000000000001, 0.8501000000000001, 0.8502000000000001, 0.8503000000000001, 0.8504, 0.8505, 0.8506, 0.8507, 0.8508, 0.8509, 0.851, 0.8511, 0.8512, 0.8513, 0.8513999999999999, 0.8515, 0.8516, 0.8517, 0.8518, 0.8519, 0.8520000000000001, 0.8521000000000001, 0.8522000000000001, 0.8523000000000001, 0.8524, 0.8525, 0.8526, 0.8527, 0.8528, 0.8529, 0.853, 0.8531, 0.8532, 0.8533, 0.8533999999999999, 0.8535, 0.8536, 0.8537, 0.8538, 0.8539, 0.8540000000000001, 0.8541000000000001, 0.8542000000000001, 0.8543000000000001, 0.8544, 0.8545, 0.8546, 0.8547, 0.8548, 0.8549, 0.855, 0.8551, 0.8552, 0.8553, 0.8553999999999999, 0.8555, 0.8556, 0.8557, 0.8558, 0.8559, 0.8560000000000001, 0.8561000000000001, 0.8562000000000001, 0.8563000000000001, 0.8564, 0.8565, 0.8566, 0.8567, 0.8568, 0.8569, 0.857, 0.8571, 0.8572, 0.8573, 0.8573999999999999, 0.8575, 0.8576, 0.8577, 0.8578, 0.8579, 0.8580000000000001, 0.8581000000000001, 0.8582000000000001, 0.8583000000000001, 0.8584, 0.8585, 0.8586, 0.8587, 0.8588, 0.8589, 0.859, 0.8591, 0.8592, 0.8593, 0.8593999999999999, 0.8595, 0.8596, 0.8597, 0.8598, 0.8599, 0.8600000000000001, 0.8601000000000001, 0.8602000000000001, 0.8603000000000001, 0.8604, 0.8605, 0.8606, 0.8607, 0.8608, 0.8609, 0.861, 0.8611, 0.8612, 0.8613, 0.8613999999999999, 0.8615, 0.8616, 0.8617, 0.8618, 0.8619, 0.8620000000000001, 0.8621000000000001, 0.8622000000000001, 0.8623000000000001, 0.8624, 0.8625, 0.8626, 0.8627, 0.8628, 0.8629, 0.863, 0.8631, 0.8632, 0.8633, 0.8634, 0.8634999999999999, 0.8636, 0.8637, 0.8638, 0.8639, 0.864, 0.8641000000000001, 0.8642000000000001, 0.8643000000000001, 0.8644000000000001, 0.8645, 0.8646, 0.8647, 0.8648, 0.8649, 0.865, 0.8651, 0.8652, 0.8653, 0.8654, 0.8654999999999999, 0.8656, 0.8657, 0.8658, 0.8659, 0.866, 0.8661000000000001, 0.8662000000000001, 0.8663000000000001, 0.8664000000000001, 0.8665, 0.8666, 0.8667, 0.8668, 0.8669, 0.867, 0.8671, 0.8672, 0.8673, 0.8674, 0.8674999999999999, 0.8676, 0.8677, 0.8678, 0.8679, 0.868, 0.8681000000000001, 0.8682000000000001, 0.8683000000000001, 0.8684000000000001, 0.8685, 0.8686, 0.8687, 0.8688, 0.8689, 0.869, 0.8691, 0.8692, 0.8693, 0.8694, 0.8694999999999999, 0.8696, 0.8697, 0.8698, 0.8699, 0.87, 0.8701000000000001, 0.8702000000000001, 0.8703000000000001, 0.8704000000000001, 0.8705, 0.8706, 0.8707, 0.8708, 0.8709, 0.871, 0.8711, 0.8712, 0.8713, 0.8714, 0.8714999999999999, 0.8716, 0.8717, 0.8718, 0.8719, 0.872, 0.8721000000000001, 0.8722000000000001, 0.8723000000000001, 0.8724000000000001, 0.8725, 0.8726, 0.8727, 0.8728, 0.8729, 0.873, 0.8731, 0.8732, 0.8733, 0.8734, 0.8734999999999999, 0.8736, 0.8737, 0.8738, 0.8739, 0.874, 0.8741000000000001, 0.8742000000000001, 0.8743000000000001, 0.8744000000000001, 0.8745, 0.8746, 0.8747, 0.8748, 0.8749, 0.875, 0.8751, 0.8752, 0.8753, 0.8754, 0.8755, 0.8756, 0.8757, 0.8758, 0.8759, 0.876, 0.8761000000000001, 0.8762000000000001, 0.8763000000000001, 0.8764000000000001, 0.8765000000000001, 0.8766, 0.8767, 0.8768, 0.8769, 0.877, 0.8771, 0.8772, 0.8773, 0.8774, 0.8775, 0.8775999999999999, 0.8777, 0.8778, 0.8779, 0.878, 0.8781, 0.8782000000000001, 0.8783000000000001, 0.8784000000000001, 0.8785000000000001, 0.8786, 0.8787, 0.8788, 0.8789, 0.879, 0.8791, 0.8792, 0.8793, 0.8794, 0.8795, 0.8795999999999999, 0.8797, 0.8798, 0.8799, 0.88, 0.8801, 0.8802000000000001, 0.8803000000000001, 0.8804000000000001, 0.8805000000000001, 0.8806, 0.8807, 0.8808, 0.8809, 0.881, 0.8811, 0.8812, 0.8813, 0.8814, 0.8815, 0.8815999999999999, 0.8817, 0.8818, 0.8819, 0.882, 0.8821, 0.8822000000000001, 0.8823000000000001, 0.8824000000000001, 0.8825000000000001, 0.8826, 0.8827, 0.8828, 0.8829, 0.883, 0.8831, 0.8832, 0.8833, 0.8834, 0.8835, 0.8835999999999999, 0.8837, 0.8838, 0.8839, 0.884, 0.8841, 0.8842000000000001, 0.8843000000000001, 0.8844000000000001, 0.8845000000000001, 0.8846, 0.8847, 0.8848, 0.8849, 0.885, 0.8851, 0.8852, 0.8853, 0.8854, 0.8855, 0.8855999999999999, 0.8857, 0.8858, 0.8859, 0.886, 0.8861, 0.8862000000000001, 0.8863000000000001, 0.8864000000000001, 0.8865000000000001, 0.8866, 0.8867, 0.8868, 0.8869, 0.887, 0.8871, 0.8872, 0.8873, 0.8874, 0.8875, 0.8876, 0.8877, 0.8878, 0.8879, 0.888, 0.8881, 0.8882000000000001, 0.8883000000000001, 0.8884000000000001, 0.8885000000000001, 0.8886000000000001, 0.8887, 0.8888, 0.8889, 0.889, 0.8891, 0.8892, 0.8893, 0.8894, 0.8895, 0.8896, 0.8897, 0.8898, 0.8899, 0.89, 0.8901, 0.8902, 0.8903000000000001, 0.8904000000000001, 0.8905000000000001, 0.8906000000000001, 0.8907, 0.8908, 0.8909, 0.891, 0.8911, 0.8912, 0.8913, 0.8914, 0.8915, 0.8916, 0.8916999999999999, 0.8918, 0.8919, 0.892, 0.8921, 0.8922, 0.8923000000000001, 0.8924000000000001, 0.8925000000000001, 0.8926000000000001, 0.8927, 0.8928, 0.8929, 0.893, 0.8931, 0.8932, 0.8933, 0.8934, 0.8935, 0.8936, 0.8936999999999999, 0.8938, 0.8939, 0.894, 0.8941, 0.8942, 0.8943000000000001, 0.8944000000000001, 0.8945000000000001, 0.8946000000000001, 0.8947, 0.8948, 0.8949, 0.895, 0.8951, 0.8952, 0.8953, 0.8954, 0.8955, 0.8956, 0.8956999999999999, 0.8958, 0.8959, 0.896, 0.8961, 0.8962, 0.8963000000000001, 0.8964000000000001, 0.8965000000000001, 0.8966000000000001, 0.8967, 0.8968, 0.8969, 0.897, 0.8971, 0.8972, 0.8973, 0.8974, 0.8975, 0.8976, 0.8976999999999999, 0.8978, 0.8979, 0.898, 0.8981, 0.8982, 0.8983000000000001, 0.8984000000000001, 0.8985000000000001, 0.8986000000000001, 0.8987, 0.8988, 0.8989, 0.899, 0.8991, 0.8992, 0.8993, 0.8994, 0.8995, 0.8996, 0.8996999999999999, 0.8998, 0.8999, 0.9, 0.9001, 0.9002, 0.9003000000000001, 0.9004000000000001, 0.9005000000000001, 0.9006000000000001, 0.9007000000000001, 0.9008, 0.9009, 0.901, 0.9011, 0.9012, 0.9013, 0.9014, 0.9015, 0.9016, 0.9017, 0.9018, 0.9019, 0.902, 0.9021, 0.9022, 0.9023000000000001, 0.9024000000000001, 0.9025000000000001, 0.9026000000000001, 0.9027000000000001, 0.9028, 0.9029, 0.903, 0.9031, 0.9032, 0.9033, 0.9034, 0.9035, 0.9036, 0.9037, 0.9037999999999999, 0.9039, 0.904, 0.9041, 0.9042, 0.9043, 0.9044000000000001, 0.9045000000000001, 0.9046000000000001, 0.9047000000000001, 0.9048, 0.9049, 0.905, 0.9051, 0.9052, 0.9053, 0.9054, 0.9055, 0.9056, 0.9057, 0.9057999999999999, 0.9059, 0.906, 0.9061, 0.9062, 0.9063, 0.9064000000000001, 0.9065000000000001, 0.9066000000000001, 0.9067000000000001, 0.9068, 0.9069, 0.907, 0.9071, 0.9072, 0.9073, 0.9074, 0.9075, 0.9076, 0.9077, 0.9077999999999999, 0.9079, 0.908, 0.9081, 0.9082, 0.9083, 0.9084000000000001, 0.9085000000000001, 0.9086000000000001, 0.9087000000000001, 0.9088, 0.9089, 0.909, 0.9091, 0.9092, 0.9093, 0.9094, 0.9095, 0.9096, 0.9097, 0.9097999999999999, 0.9099, 0.91, 0.9101, 0.9102, 0.9103, 0.9104000000000001, 0.9105000000000001, 0.9106000000000001, 0.9107000000000001, 0.9108, 0.9109, 0.911, 0.9111, 0.9112, 0.9113, 0.9114, 0.9115, 0.9116, 0.9117, 0.9117999999999999, 0.9119, 0.912, 0.9121, 0.9122, 0.9123, 0.9124000000000001, 0.9125000000000001, 0.9126000000000001, 0.9127000000000001, 0.9128000000000001, 0.9129, 0.913, 0.9131, 0.9132, 0.9133, 0.9134, 0.9135, 0.9136, 0.9137, 0.9138, 0.9139, 0.914, 0.9141, 0.9142, 0.9143, 0.9144000000000001, 0.9145000000000001, 0.9146000000000001, 0.9147000000000001, 0.9148000000000001, 0.9149, 0.915, 0.9151, 0.9152, 0.9153, 0.9154, 0.9155, 0.9156, 0.9157, 0.9158, 0.9159, 0.916, 0.9161, 0.9162, 0.9163, 0.9164, 0.9165000000000001, 0.9166000000000001, 0.9167000000000001, 0.9168000000000001, 0.9169, 0.917, 0.9171, 0.9172, 0.9173, 0.9174, 0.9175, 0.9176, 0.9177, 0.9178, 0.9178999999999999, 0.918, 0.9181, 0.9182, 0.9183, 0.9184, 0.9185000000000001, 0.9186000000000001, 0.9187000000000001, 0.9188000000000001, 0.9189, 0.919, 0.9191, 0.9192, 0.9193, 0.9194, 0.9195, 0.9196, 0.9197, 0.9198, 0.9198999999999999, 0.92, 0.9201, 0.9202, 0.9203, 0.9204, 0.9205000000000001, 0.9206000000000001, 0.9207000000000001, 0.9208000000000001, 0.9209, 0.921, 0.9211, 0.9212, 0.9213, 0.9214, 0.9215, 0.9216, 0.9217, 0.9218, 0.9218999999999999, 0.922, 0.9221, 0.9222, 0.9223, 0.9224, 0.9225000000000001, 0.9226000000000001, 0.9227000000000001, 0.9228000000000001, 0.9229, 0.923, 0.9231, 0.9232, 0.9233, 0.9234, 0.9235, 0.9236, 0.9237, 0.9238, 0.9238999999999999, 0.924, 0.9241, 0.9242, 0.9243, 0.9244, 0.9245000000000001, 0.9246000000000001, 0.9247000000000001, 0.9248000000000001, 0.9249, 0.925, 0.9251, 0.9252, 0.9253, 0.9254, 0.9255, 0.9256, 0.9257, 0.9258, 0.9259, 0.926, 0.9261, 0.9262, 0.9263, 0.9264, 0.9265000000000001, 0.9266000000000001, 0.9267000000000001, 0.9268000000000001, 0.9269000000000001, 0.927, 0.9271, 0.9272, 0.9273, 0.9274, 0.9275, 0.9276, 0.9277, 0.9278, 0.9279, 0.928, 0.9281, 0.9282, 0.9283, 0.9284, 0.9285000000000001, 0.9286000000000001, 0.9287000000000001, 0.9288000000000001, 0.9289000000000001, 0.929, 0.9291, 0.9292, 0.9293, 0.9294, 0.9295, 0.9296, 0.9297, 0.9298, 0.9299, 0.9299999999999999, 0.9301, 0.9302, 0.9303, 0.9304, 0.9305, 0.9306000000000001, 0.9307000000000001, 0.9308000000000001, 0.9309000000000001, 0.931, 0.9311, 0.9312, 0.9313, 0.9314, 0.9315, 0.9316, 0.9317, 0.9318, 0.9319, 0.9319999999999999, 0.9321, 0.9322, 0.9323, 0.9324, 0.9325, 0.9326000000000001, 0.9327000000000001, 0.9328000000000001, 0.9329000000000001, 0.933, 0.9331, 0.9332, 0.9333, 0.9334, 0.9335, 0.9336, 0.9337, 0.9338, 0.9339, 0.9339999999999999, 0.9341, 0.9342, 0.9343, 0.9344, 0.9345, 0.9346000000000001, 0.9347000000000001, 0.9348000000000001, 0.9349000000000001, 0.935, 0.9351, 0.9352, 0.9353, 0.9354, 0.9355, 0.9356, 0.9357, 0.9358, 0.9359, 0.9359999999999999, 0.9361, 0.9362, 0.9363, 0.9364, 0.9365, 0.9366000000000001, 0.9367000000000001, 0.9368000000000001, 0.9369000000000001, 0.937, 0.9371, 0.9372, 0.9373, 0.9374, 0.9375, 0.9376, 0.9377, 0.9378, 0.9379, 0.938, 0.9381, 0.9382, 0.9383, 0.9384, 0.9385, 0.9386000000000001, 0.9387000000000001, 0.9388000000000001, 0.9389000000000001, 0.9390000000000001, 0.9391, 0.9392, 0.9393, 0.9394, 0.9395, 0.9396, 0.9397, 0.9398, 0.9399, 0.94, 0.9401, 0.9402, 0.9403, 0.9404, 0.9405, 0.9406000000000001, 0.9407000000000001, 0.9408000000000001, 0.9409000000000001, 0.9410000000000001, 0.9411, 0.9412, 0.9413, 0.9414, 0.9415, 0.9416, 0.9417, 0.9418, 0.9419, 0.942, 0.9421, 0.9422, 0.9423, 0.9424, 0.9425, 0.9426000000000001, 0.9427000000000001, 0.9428000000000001, 0.9429000000000001, 0.9430000000000001, 0.9431, 0.9432, 0.9433, 0.9434, 0.9435, 0.9436, 0.9437, 0.9438, 0.9439, 0.944, 0.9440999999999999, 0.9442, 0.9443, 0.9444, 0.9445, 0.9446, 0.9447000000000001, 0.9448000000000001, 0.9449000000000001, 0.9450000000000001, 0.9451, 0.9452, 0.9453, 0.9454, 0.9455, 0.9456, 0.9457, 0.9458, 0.9459, 0.946, 0.9460999999999999, 0.9462, 0.9463, 0.9464, 0.9465, 0.9466, 0.9467000000000001, 0.9468000000000001, 0.9469000000000001, 0.9470000000000001, 0.9471, 0.9472, 0.9473, 0.9474, 0.9475, 0.9476, 0.9477, 0.9478, 0.9479, 0.948, 0.9480999999999999, 0.9482, 0.9483, 0.9484, 0.9485, 0.9486, 0.9487000000000001, 0.9488000000000001, 0.9489000000000001, 0.9490000000000001, 0.9491, 0.9492, 0.9493, 0.9494, 0.9495, 0.9496, 0.9497, 0.9498, 0.9499, 0.95, 0.9501, 0.9502, 0.9503, 0.9504, 0.9505, 0.9506, 0.9507000000000001, 0.9508000000000001, 0.9509000000000001, 0.9510000000000001, 0.9511000000000001, 0.9512, 0.9513, 0.9514, 0.9515, 0.9516, 0.9517, 0.9518, 0.9519, 0.952, 0.9521, 0.9522, 0.9523, 0.9524, 0.9525, 0.9526, 0.9527000000000001, 0.9528000000000001, 0.9529000000000001, 0.9530000000000001, 0.9531000000000001, 0.9532, 0.9533, 0.9534, 0.9535, 0.9536, 0.9537, 0.9538, 0.9539, 0.954, 0.9541, 0.9542, 0.9543, 0.9544, 0.9545, 0.9546, 0.9547000000000001, 0.9548000000000001, 0.9549000000000001, 0.9550000000000001, 0.9551000000000001, 0.9552, 0.9553, 0.9554, 0.9555, 0.9556, 0.9557, 0.9558, 0.9559, 0.956, 0.9561, 0.9561999999999999, 0.9563, 0.9564, 0.9565, 0.9566, 0.9567, 0.9568000000000001, 0.9569000000000001, 0.9570000000000001, 0.9571000000000001, 0.9572, 0.9573, 0.9574, 0.9575, 0.9576, 0.9577, 0.9578, 0.9579, 0.958, 0.9581, 0.9581999999999999, 0.9583, 0.9584, 0.9585, 0.9586, 0.9587, 0.9588000000000001, 0.9589000000000001, 0.9590000000000001, 0.9591000000000001, 0.9592, 0.9593, 0.9594, 0.9595, 0.9596, 0.9597, 0.9598, 0.9599, 0.96, 0.9601, 0.9601999999999999, 0.9603, 0.9604, 0.9605, 0.9606, 0.9607, 0.9608000000000001, 0.9609000000000001, 0.9610000000000001, 0.9611000000000001, 0.9612, 0.9613, 0.9614, 0.9615, 0.9616, 0.9617, 0.9618, 0.9619, 0.962, 0.9621, 0.9621999999999999, 0.9623, 0.9624, 0.9625, 0.9626, 0.9627, 0.9628000000000001, 0.9629000000000001, 0.9630000000000001, 0.9631000000000001, 0.9632000000000001, 0.9633, 0.9634, 0.9635, 0.9636, 0.9637, 0.9638, 0.9639, 0.964, 0.9641, 0.9642, 0.9643, 0.9644, 0.9645, 0.9646, 0.9647, 0.9648000000000001, 0.9649000000000001, 0.9650000000000001, 0.9651000000000001, 0.9652000000000001, 0.9653, 0.9654, 0.9655, 0.9656, 0.9657, 0.9658, 0.9659, 0.966, 0.9661, 0.9662, 0.9663, 0.9664, 0.9665, 0.9666, 0.9667, 0.9668000000000001, 0.9669000000000001, 0.9670000000000001, 0.9671000000000001, 0.9672000000000001, 0.9673, 0.9674, 0.9675, 0.9676, 0.9677, 0.9678, 0.9679, 0.968, 0.9681, 0.9682, 0.9683, 0.9684, 0.9685, 0.9686, 0.9687, 0.9688000000000001, 0.9689000000000001, 0.9690000000000001, 0.9691000000000001, 0.9692000000000001, 0.9693, 0.9694, 0.9695, 0.9696, 0.9697, 0.9698, 0.9699, 0.97, 0.9701, 0.9702, 0.9702999999999999, 0.9704, 0.9705, 0.9706, 0.9707, 0.9708, 0.9709000000000001, 0.9710000000000001, 0.9711000000000001, 0.9712000000000001, 0.9713, 0.9714, 0.9715, 0.9716, 0.9717, 0.9718, 0.9719, 0.972, 0.9721, 0.9722, 0.9722999999999999, 0.9724, 0.9725, 0.9726, 0.9727, 0.9728, 0.9729000000000001, 0.9730000000000001, 0.9731000000000001, 0.9732000000000001, 0.9733, 0.9734, 0.9735, 0.9736, 0.9737, 0.9738, 0.9739, 0.974, 0.9741, 0.9742, 0.9742999999999999, 0.9744, 0.9745, 0.9746, 0.9747, 0.9748, 0.9749000000000001, 0.9750000000000001, 0.9751000000000001, 0.9752000000000001, 0.9753000000000001, 0.9754, 0.9755, 0.9756, 0.9757, 0.9758, 0.9759, 0.976, 0.9761, 0.9762, 0.9763, 0.9764, 0.9765, 0.9766, 0.9767, 0.9768, 0.9769000000000001, 0.9770000000000001, 0.9771000000000001, 0.9772000000000001, 0.9773000000000001, 0.9774, 0.9775, 0.9776, 0.9777, 0.9778, 0.9779, 0.978, 0.9781, 0.9782, 0.9783, 0.9784, 0.9785, 0.9786, 0.9787, 0.9788, 0.9789000000000001, 0.9790000000000001, 0.9791000000000001, 0.9792000000000001, 0.9793000000000001, 0.9794, 0.9795, 0.9796, 0.9797, 0.9798, 0.9799, 0.98, 0.9801, 0.9802, 0.9803, 0.9804, 0.9805, 0.9806, 0.9807, 0.9808, 0.9809000000000001, 0.9810000000000001, 0.9811000000000001, 0.9812000000000001, 0.9813000000000001, 0.9814, 0.9815, 0.9816, 0.9817, 0.9818, 0.9819, 0.982, 0.9821, 0.9822, 0.9823, 0.9823999999999999, 0.9825, 0.9826, 0.9827, 0.9828, 0.9829, 0.9830000000000001, 0.9831000000000001, 0.9832000000000001, 0.9833000000000001, 0.9834, 0.9835, 0.9836, 0.9837, 0.9838, 0.9839, 0.984, 0.9841, 0.9842, 0.9843, 0.9843999999999999, 0.9845, 0.9846, 0.9847, 0.9848, 0.9849, 0.9850000000000001, 0.9851000000000001, 0.9852000000000001, 0.9853000000000001, 0.9854, 0.9855, 0.9856, 0.9857, 0.9858, 0.9859, 0.986, 0.9861, 0.9862, 0.9863, 0.9863999999999999, 0.9865, 0.9866, 0.9867, 0.9868, 0.9869, 0.9870000000000001, 0.9871000000000001, 0.9872000000000001, 0.9873000000000001, 0.9874, 0.9875, 0.9876, 0.9877, 0.9878, 0.9879, 0.988, 0.9881, 0.9882, 0.9883, 0.9884, 0.9885, 0.9886, 0.9887, 0.9888, 0.9889, 0.9890000000000001, 0.9891000000000001, 0.9892000000000001, 0.9893000000000001, 0.9894000000000001, 0.9895, 0.9896, 0.9897, 0.9898, 0.9899, 0.99, 0.9901, 0.9902, 0.9903, 0.9904, 0.9905, 0.9906, 0.9907, 0.9908, 0.9909, 0.9910000000000001, 0.9911000000000001, 0.9912000000000001, 0.9913000000000001, 0.9914000000000001, 0.9915, 0.9916, 0.9917, 0.9918, 0.9919, 0.992, 0.9921, 0.9922, 0.9923, 0.9924, 0.9925, 0.9926, 0.9927, 0.9928, 0.9929, 0.9930000000000001, 0.9931000000000001, 0.9932000000000001, 0.9933000000000001, 0.9934000000000001, 0.9935, 0.9936, 0.9937, 0.9938, 0.9939, 0.994, 0.9941, 0.9942, 0.9943, 0.9944, 0.9945, 0.9946, 0.9947, 0.9948, 0.9949, 0.9950000000000001, 0.9951000000000001, 0.9952000000000001, 0.9953000000000001, 0.9954000000000001, 0.9955, 0.9956, 0.9957, 0.9958, 0.9959, 0.996, 0.9961, 0.9962, 0.9963, 0.9964, 0.9964999999999999, 0.9966, 0.9967, 0.9968, 0.9969, 0.997, 0.9971000000000001, 0.9972000000000001, 0.9973000000000001, 0.9974000000000001, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9984999999999999, 0.9986, 0.9987, 0.9988, 0.9989, 0.999, 0.9991000000000001, 0.9992000000000001, 0.9993000000000001, 0.9994000000000001, 0.9995, 0.9996, 0.9997, 0.9998, 0.9999, 1.0], \\\"y\\\": [0.9508155546388563, 0.9506910741356586, 0.9506651698549771, 0.9506711853536562, 0.9506772008523354, 0.9506832163510146, 0.9506871986227214, 0.9506800060424616, 0.9506482840438271, 0.9506144991355673, 0.9506030763864832, 0.9505714998998305, 0.950580356698981, 0.9505871642819146, 0.9505810270039929, 0.950568855103157, 0.9505768309356801, 0.9505743588147311, 0.9505584725373131, 0.9505676741270266, 0.9505768757167401, 0.9505851851428584, 0.9505844217776228, 0.9505806574585094, 0.9505847572166033, 0.9505939492501186, 0.950603141283634, 0.9506032102595723, 0.9505960808035483, 0.9505793304201857, 0.9505571704550051, 0.9505665057241219, 0.950575840993239, 0.950585176262356, 0.9505924961168748, 0.9505874862496472, 0.9505640650225491, 0.9505659634196605, 0.9505698590399219, 0.9505573653045869, 0.9505618532434448, 0.9505710997491958, 0.9505749430552592, 0.9505547543996293, 0.9505403086730875, 0.9505341130593967, 0.9505288565201437, 0.9505331090973902, 0.9505415027432333, 0.9505484508875083, 0.9505499466628333, 0.9505414037427171, 0.9505236391789935, 0.9505328822498149, 0.9505421831267821, 0.9505453277287985, 0.9505387138541459, 0.950541468145373, 0.9505507605734924, 0.9505599658797803, 0.9505678314822471, 0.9505679470167518, 0.950567092809389, 0.9505657786815798, 0.9505645920453785, 0.9505738717259068, 0.9505831514064351, 0.9505924228708786, 0.9506014731620223, 0.9506052970951764, 0.9506011487089903, 0.9505884448045047, 0.9505856811210193, 0.9505760911605144, 0.9505813424558056, 0.95059034320216, 0.9505993439485143, 0.9506068909145844, 0.9506049306483069, 0.9506000468451965, 0.9505937363581312, 0.9506029269605187, 0.9506089740471986, 0.9506094570813107, 0.9506093434728475, 0.9506099798648849, 0.9506191585806145, 0.9506283630398894, 0.9506351782917334, 0.9506397327107281, 0.9506407421921778, 0.9506437964242864, 0.9506466683629178, 0.9506386856946083, 0.9506230301077665, 0.9506143481292068, 0.9506185746050364, 0.9506273537859425, 0.9506361329668486, 0.9506449121477547, 0.9506536913286607, 0.9506597968322367, 0.9506376541312955, 0.9506000442334388, 0.9505752553164306, 0.9505615564205097, 0.950565156892607, 0.9505740331375482, 0.9505829093824893, 0.9505917856274304, 0.950596290397757, 0.9505888600644821, 0.9505839138137407, 0.950589577735609, 0.9505766835942873, 0.9505579505868359, 0.9505670776708907, 0.9505762047549454, 0.9505853318390002, 0.9505944570789482, 0.9506035099319472, 0.9506102865371513, 0.95060587555322, 0.9505957763132737, 0.9505878151023046, 0.9505769055055593, 0.9505815558036755, 0.9505905489366325, 0.9505995420695895, 0.9506084952339839, 0.9506166024505596, 0.9506012595075353, 0.9505699326311099, 0.9505532277798213, 0.9505560448297505, 0.9505649596778447, 0.9505738745259387, 0.9505827866858151, 0.9505836408115134, 0.9505810081276136, 0.9505738883206256, 0.9505741984216737, 0.950583102695701, 0.9505920460170649, 0.9505985121844944, 0.9505871417293092, 0.9505626580502811, 0.9505640581391239, 0.9505719872681695, 0.9505811144708558, 0.9505902416735423, 0.9505993657453529, 0.9506044523334087, 0.950586018905225, 0.9505431571720403, 0.9505261794307123, 0.9505081107890461, 0.9505168963175951, 0.9505260141914535, 0.950535132065312, 0.950543719213652, 0.9505490881066483, 0.9505505298373484, 0.9505355885171369, 0.9505301122077755, 0.9505245571567352, 0.9505262504217229, 0.9505353495085966, 0.9505444485954704, 0.9505535476823441, 0.9505626450257907, 0.9505683830880636, 0.950556347906552, 0.950540069587966, 0.9505370606483221, 0.9505461376523237, 0.9505552146563252, 0.9505642916603267, 0.9505733686643283, 0.9505656070675326, 0.9505539422795328, 0.95055737455943, 0.9505664444614661, 0.9505755109364179, 0.9505807944205222, 0.9505760123166874, 0.9505616006986638, 0.9505491410215731, 0.9505582002785824, 0.9505672595355918, 0.9505763187926012, 0.9505853705901379, 0.9505892663936462, 0.9505871158763846, 0.9505797686686532, 0.9505783355210109, 0.9505794103768397, 0.9505747991348237, 0.9505733284719566, 0.9505738600895072, 0.9505820512443581, 0.9505902423992092, 0.95059843355406, 0.9506066195179829, 0.9506038560134153, 0.9505844789084335, 0.9505433990062013, 0.9505202772986292, 0.9505006902735705, 0.9505031195272583, 0.9505111312244734, 0.9505147543000528, 0.9505060049362, 0.9504976587817094, 0.9504741875137487, 0.9504546289146916, 0.9504497020194589, 0.9504574139302582, 0.9504664364746358, 0.9504749930770899, 0.950478264115263, 0.9504552281238521, 0.9504533772295218, 0.9504623946296834, 0.950465767962938, 0.9504601809039191, 0.9504339171981608, 0.9504315760389462, 0.9504404291986717, 0.9504449590944818, 0.9504329625724197, 0.9504172582921435, 0.9504229510195545, 0.9504319542337282, 0.9504409574479018, 0.9504499606620753, 0.9504589588066568, 0.9504644252403959, 0.9504620498195873, 0.950452511131753, 0.9504497290527294, 0.9504583932864208, 0.9504542002765421, 0.9504461418341892, 0.9504541228800287, 0.9504631010829173, 0.9504720792858057, 0.9504798394548355, 0.9504797892906087, 0.9504678482113522, 0.9504617177626802, 0.950461256220664, 0.9504535264420715, 0.9504609381249942, 0.9504695969801007, 0.9504770952849305, 0.9504773296037462, 0.9504645347916327, 0.9504559691239423, 0.9504627487403858, 0.9504466834690612, 0.9504390144255392, 0.9504466027400187, 0.9504555520224471, 0.9504644993133642, 0.950473103745721, 0.95047714295241, 0.9504674505075215, 0.9504506678960922, 0.9504558167205412, 0.9504535971933112, 0.9504535896227526, 0.9504625204101991, 0.9504714511976455, 0.9504706784592903, 0.9504452217000023, 0.9504166306312694, 0.9503892726825207, 0.9503732890287171, 0.9503783984835579, 0.9503851306868552, 0.9503895243111051, 0.9503883205308367, 0.9503968579095493, 0.950405395288262, 0.9504139326669746, 0.9504224677964863, 0.9504295682960086, 0.9504294339357662, 0.9504056140587391, 0.9503941866095171, 0.950381173296187, 0.9503677071839777, 0.950376065187332, 0.9503814477230822, 0.950383202362864, 0.9503907526749995, 0.9503996562854302, 0.9504085583429814, 0.9504171463775899, 0.9504186703913169, 0.9504244831722304, 0.9504148624806097, 0.9503993523483346, 0.9504031442529282, 0.9504120283981734, 0.9504151323112053, 0.9503982849725958, 0.9504064088958646, 0.9504150486604892, 0.9504182459648302, 0.9503865789502108, 0.9503346504758278, 0.9503400684876867, 0.9503405190333983, 0.9503318188910561, 0.9503285180097494, 0.9503173786942046, 0.9502942574495513, 0.9502795700805877, 0.9502693372772585, 0.9502740874040583, 0.9502788375308578, 0.9502829772526186, 0.9502819894094942, 0.9502690657039623, 0.9502751692314964, 0.9502840366700891, 0.9502845896576939, 0.9502888367138895, 0.9502836132497074, 0.9502899567632728, 0.9502988211671693, 0.9503063830733054, 0.9502985631949341, 0.9502863225825227, 0.95028338407583, 0.9502840387950349, 0.950292088981567, 0.9502959490303342, 0.9502857671665861, 0.9502753508380242, 0.9502769000497404, 0.9502696736850077, 0.9502768444023368, 0.9502856792807616, 0.9502945141591863, 0.9503033490376109, 0.9503121839160358, 0.9503210187944605, 0.9503283638919564, 0.9503261464246942, 0.9503349791500156, 0.9503438055045634, 0.9503524921360659, 0.9503546119176953, 0.9503430260552271, 0.9503201835106768, 0.9502905369863164, 0.9502820690193444, 0.9502888919119207, 0.950297017832263, 0.9503051437526053, 0.9503132696729477, 0.9503213955932901, 0.9503259635406966, 0.9503038431691202, 0.9502759731794616, 0.9502697136231859, 0.9502784149907706, 0.9502814854984437, 0.9502556088998768, 0.9502470829037745, 0.9502442935209441, 0.9502510528234087, 0.9502370995355327, 0.9502448493440931, 0.9502321164226961, 0.950217663117605, 0.950226301414014, 0.9502349397104228, 0.9502435780068318, 0.9502522163032407, 0.950260684191864, 0.9502659333393988, 0.9502643057296595, 0.9502581810219268, 0.9502603126129019, 0.9502690792748065, 0.9502769087178592, 0.9502822310276762, 0.9502727984690436, 0.9502651783117447, 0.9502724651352574, 0.9502812221862708, 0.9502899792372839, 0.9502980153524899, 0.9502942947987483, 0.9502840596068933, 0.9502928014689256, 0.950301543330958, 0.9503102851929902, 0.9503190270550226, 0.9503277689170548, 0.9503365107790871, 0.9503452526411194, 0.9503539843337132, 0.9503616744549502, 0.9503598476506252, 0.9503530051293184, 0.9503580997456917, 0.9503637898101734, 0.9503540011646381, 0.9503513434790414, 0.9503600037633744, 0.9503686640477074, 0.9503773243320404, 0.9503859846163735, 0.9503946449007064, 0.9504033051850395, 0.9504119611034713, 0.9504175869351019, 0.950409950260978, 0.950400615552258, 0.950398961689812, 0.950386642418567, 0.9503851078226423, 0.9503937956711707, 0.950402483519699, 0.9504106837311792, 0.9504147258083688, 0.9504088306393371, 0.9503892622299771, 0.9503797774662843, 0.9503839880868128, 0.9503918151378639, 0.950400487420497, 0.9504091597031299, 0.9504178319857628, 0.9504265016623321, 0.9504348640436144, 0.9504284574413135, 0.9504021958903324, 0.9503919356058537, 0.9503961821779718, 0.9504046819546916, 0.9504131817314114, 0.9504216815081311, 0.9504204605508364, 0.9504193562560467, 0.9504045549817939, 0.95040507809632, 0.950410605810317, 0.9504086663289311, 0.9503988283696948, 0.9504009023473505, 0.9504090423703935, 0.9504171823934364, 0.9504236559049238, 0.9504041550359092, 0.9503833048197243, 0.9503761826384047, 0.9503680812848951, 0.9503689702866623, 0.9503774171884751, 0.9503858640902879, 0.9503939712442653, 0.9503904980239442, 0.9503661350914419, 0.9503462293661332, 0.9503441252791818, 0.9503526464899877, 0.9503611677007936, 0.9503696889115996, 0.9503782101224054, 0.9503867313332114, 0.9503937816758803, 0.9503866625476793, 0.9503617645922203, 0.9503483490179646, 0.9503531514416635, 0.9503617592714708, 0.9503703671012779, 0.9503714668101799, 0.9503619867259154, 0.9503568995274052, 0.9503511209228959, 0.9503288729087558, 0.9503347199719299, 0.9503421119699992, 0.9503495039680685, 0.9503568959661378, 0.9503566773348271, 0.950355059749791, 0.9503431730275613, 0.9503101208487139, 0.9502968822229533, 0.9503046711227776, 0.9503132559241396, 0.9503218407255014, 0.9503304255268634, 0.9503387458722057, 0.9503334860671784, 0.9503151615940785, 0.9503175854649224, 0.9503261634145745, 0.9503333391762983, 0.9503328427402817, 0.9503265750186767, 0.9503260465057559, 0.9503305542351721, 0.9503391173324132, 0.9503476804296542, 0.9503545124771811, 0.9503522925832234, 0.9503478602541983, 0.9503398921882342, 0.9503468531952095, 0.9503554051468909, 0.9503639570985722, 0.9503715835614728, 0.9503785425922366, 0.9503729066878936, 0.9503675192414208, 0.9503723248082663, 0.950380662639787, 0.9503811288276923, 0.9503760700485059, 0.9503692787554964, 0.9503689058461335, 0.9503588348056105, 0.9503540830728363, 0.9503625416566428, 0.9503710002404493, 0.9503792076641435, 0.9503836998344566, 0.9503718676653636, 0.9503748108266418, 0.9503832617577286, 0.9503917126888154, 0.9504001636199022, 0.950408614550989, 0.9504171136390747, 0.9504229874002579, 0.9504255612277313, 0.9504241469528789, 0.9504213107782523, 0.9504170505368539, 0.9504217584005191, 0.9504290446051714, 0.9504355236045802, 0.9504397213387555, 0.9504406004039712, 0.9504292937889254, 0.9504028188117295, 0.950388417395513, 0.9503952529000166, 0.9503955907216002, 0.9504018470537743, 0.9504082651562265, 0.9504146832586784, 0.9504211013611304, 0.9504275194635825, 0.9504339375660347, 0.950435420305715, 0.9504316647296326, 0.9504307557962328, 0.9504205922596887, 0.9504194095111362, 0.9504181453974884, 0.9504196102886319, 0.9504206183606898, 0.9504238345790327, 0.9504322903516167, 0.9504406269816092, 0.9504430004926059, 0.950431370186365, 0.950429085882764, 0.9504368313184937, 0.9504387217618275, 0.9504321103450568, 0.9504405479225543, 0.9504489855000517, 0.9504574230775491, 0.9504658606550466, 0.950473163182847, 0.9504774282281085, 0.9504730888007007, 0.9504620916614932, 0.9504618901700832, 0.9504595101142161, 0.9504674700352367, 0.9504758406524525, 0.9504842112696681, 0.9504925818868838, 0.9505009447751903, 0.9505042743625021, 0.9504998168257836, 0.950490697659278, 0.950489800967305, 0.9504894999364475, 0.9504920022076166, 0.9504836822811247, 0.9504578783089115, 0.9504662779784144, 0.9504686493779635, 0.9504530643479918, 0.9504300495966538, 0.9504384489400962, 0.9504468482835386, 0.9504539850342355, 0.9504579900601664, 0.9504596438263773, 0.9504606896505379, 0.9504689101986354, 0.950476827001314, 0.9504817586005243, 0.9504826573244767, 0.9504867162575725, 0.9504950943033175, 0.9505034723490624, 0.9505118480651882, 0.9505185193903136, 0.9505131936336647, 0.9505010191166612, 0.9504859464796194, 0.9504860622549622, 0.9504826929687151, 0.950470367127997, 0.950472491302553, 0.9504736668079796, 0.950464202297843, 0.9504492952007364, 0.9504438626098937, 0.950435903117125, 0.9504383845848827, 0.9504467387499173, 0.9504550929149518, 0.9504634470799863, 0.9504718012450208, 0.9504801524230369, 0.9504875311387548, 0.9504914005665939, 0.950490405264139, 0.9504787739274814, 0.9504649426202892, 0.9504683974873733, 0.9504756956398326, 0.9504833623387312, 0.9504903957247642, 0.9504847811402111, 0.9504620304855211, 0.9504423012761462, 0.9504409508905673, 0.9504492817582288, 0.9504576122699563, 0.9504658010339488, 0.9504739765904057, 0.95048147101422, 0.9504826309231929, 0.9504743870631256, 0.9504733408118268, 0.9504635739943073, 0.9504598259448883, 0.9504653210237064, 0.9504727879234681, 0.9504802548232298, 0.9504877217229915, 0.9504951886227531, 0.9505026555225147, 0.9505101224222763, 0.950517589322038, 0.9505250562217996, 0.9505267924682042, 0.9505309987120971, 0.9505308357097205, 0.9505257366005228, 0.9505178055833458, 0.9505099177733465, 0.9505123121573068, 0.9505135677020421, 0.9505191886413731, 0.9505193743013973, 0.9505276485383626, 0.950535922775328, 0.9505359852088591, 0.9505294340853767, 0.9505232796432614, 0.9505263577443304, 0.9505317571517093, 0.9505278041767515, 0.9505243018941419, 0.9505291454367061, 0.9505374064041472, 0.9505451375531858, 0.9505490686883863, 0.9505457931702401, 0.9505270410848463, 0.9505039733085822, 0.950497931706648, 0.9505012549922394, 0.9505095067379867, 0.9505177584837339, 0.9505239894681013, 0.9505165659115813, 0.950496323734698, 0.9504965257444111, 0.9504994551566556, 0.9504988306964077, 0.9504906763818133, 0.9504923722588927, 0.950500608172584, 0.9505088440862752, 0.9505170799999666, 0.9505253159136579, 0.950533551827349, 0.9505417844642292, 0.9505389941443427, 0.950521068000435, 0.950504881319735, 0.9504852647295232, 0.9504828357682735, 0.9504910542920477, 0.9504992728158217, 0.9505074913395957, 0.9505157098633699, 0.950523928387144, 0.950532146910918, 0.9505403605113185, 0.9505483317230632, 0.9505497523261393, 0.9505438963855444, 0.9505253674373852, 0.9505131573625367, 0.9505202965971282, 0.9505274358317197, 0.9505345750663112, 0.9505417143009026, 0.9505432926595265, 0.9505373137579567, 0.950527494775179, 0.9505236846337448, 0.9505161479124593, 0.9505177716237754, 0.9505259529117485, 0.9505341341997213, 0.9505423154876942, 0.950550496775667, 0.9505586780636399, 0.950566859351613, 0.9505750401059101, 0.9505831516609162, 0.9505898292864403, 0.9505914146074139, 0.9505842197490334, 0.950568582122054, 0.9505594286396692, 0.9505460923056652, 0.9505450289516741, 0.9505524071681537, 0.9505597853846335, 0.9505475408395685, 0.9505298092904833, 0.9505308816800953, 0.9505377599539961, 0.9505363704195428, 0.9505151816109298, 0.9505233342122943, 0.9505314868136587, 0.950539639415023, 0.9505477920163874, 0.9505559417819147, 0.9505640872560723, 0.9505719856120098, 0.950572967538402, 0.950557471361968, 0.9505312996338984, 0.9505232670603221, 0.950531401325662, 0.9505395355910018, 0.9505476698563418, 0.9505558041216815, 0.9505639373759366, 0.9505718533733576, 0.95057604927676, 0.9505647598489508, 0.9505438021063966, 0.9505320403440958, 0.950535730713556, 0.9505438481079659, 0.9505519655023758, 0.9505600828967855, 0.9505682002911955, 0.9505763176856052, 0.9505824897680375, 0.9505771684127154, 0.9505467323206194, 0.9505209014709901, 0.9505242288390561, 0.9505321934404365, 0.9505401580418169, 0.9505481226431973, 0.9505560872445777, 0.950564051845958, 0.9505717483019357, 0.9505783833382134, 0.9505823379250573, 0.9505707062691137, 0.950529141304585, 0.950491452195853, 0.9504857518200941, 0.950493848741498, 0.950501945662902, 0.9505100421889592, 0.9505181354203937, 0.950522607642734, 0.9504915853884195, 0.9504542790306886, 0.9504319717899592, 0.950428205387501, 0.9504362947891629, 0.950444384190825, 0.950452473592487, 0.9504605629941489, 0.9504686503667971, 0.9504717225434609, 0.9504689126782901, 0.9504653715487918, 0.9504626439607056, 0.9504701321263924, 0.9504744277247443, 0.950472777484707, 0.9504687389201145, 0.950471283498749, 0.950477984802487, 0.9504853761526362, 0.9504934483128393, 0.9505015131244747, 0.9505093723269739, 0.9505079383061185, 0.9505001876257033, 0.9504946226468087, 0.9504919214110074, 0.9504999706469, 0.9505080198827924, 0.950516069118685, 0.9505238032783456, 0.9505294967505391, 0.9505252318324391, 0.9505087789645428, 0.9504951775122992, 0.9504875548639169, 0.9504814828924516, 0.9504848609737226, 0.9504929016539407, 0.9505003810038881, 0.9505026401637657, 0.9504921589023934, 0.9504874565163957, 0.9504878616863911, 0.9504856856002124, 0.9504846650762029, 0.9504834622996727, 0.9504752413068751, 0.9504719211268366, 0.9504704028146773, 0.9504784232596661, 0.950486443704655, 0.950494464149644, 0.9505024845946328, 0.9505105050396218, 0.9505157412093215, 0.9505063119562729, 0.9504881760610304, 0.9504702692964545, 0.9504601861655846, 0.9504681915207456, 0.9504761968759063, 0.9504842022310673, 0.9504922075862282, 0.9505002129413891, 0.9505082182965501, 0.9505159956713157, 0.9505217086488296, 0.9505140197174274, 0.9504884547748339, 0.9504897089759583, 0.9504768569086368, 0.9504729516646565, 0.9504809474027452, 0.9504879565407823, 0.9504900727182555, 0.9504843287613877, 0.9504636307107002, 0.9504498004656596, 0.9504577435221565, 0.9504656865786534, 0.9504736296351504, 0.9504815726916472, 0.9504895157481441, 0.9504950169419417, 0.9504846126772082, 0.950439865953356, 0.9504259414565492, 0.9504141371472796, 0.9504219016696747, 0.9504296661920698, 0.950437430714465, 0.9504451952368599, 0.9504410512537924, 0.9504249113042111, 0.9504247998359787, 0.950429729168139, 0.9504273280236406, 0.9504160078371033, 0.9504086169172292, 0.9504165772715147, 0.9504245376258003, 0.9504324979800858, 0.9504404583343711, 0.9504484129023698, 0.9504560746912212, 0.9504564951982493, 0.9504548982368319, 0.9504482010872186, 0.9504533713472321, 0.9504613204944454, 0.9504692696416586, 0.9504772186032842, 0.9504851590164953, 0.9504922703789973, 0.9504907993219815, 0.9504880426381992, 0.950481751007872, 0.9504767967981438, 0.9504694359742103, 0.9504773614964603, 0.9504852870187106, 0.9504932125409608, 0.9505011380632109, 0.9505090635854612, 0.9505146224306973, 0.9505138918471303, 0.9505008007988927, 0.9504801055971727, 0.9504691273395804, 0.9504693709696812, 0.9504772436326535, 0.9504851162956258, 0.9504929889585982, 0.9505008616215704, 0.9505050371558426, 0.9504978512351615, 0.9504902620369631, 0.9504869004349243, 0.9504758610865023, 0.9504574772106621, 0.9504651769152928, 0.9504730023539597, 0.9504808260866047, 0.9504775499173057, 0.9504717106689968, 0.9504561309953392, 0.9504456262893124, 0.9504494955429632, 0.9504573438791069, 0.9504649571277621, 0.9504630350416754, 0.9504569624906383, 0.9504529625265812, 0.9504586200875134, 0.950461340563296, 0.9504592985288178, 0.9504549606504826, 0.950449455411567, 0.9504476019486685, 0.9504274790703574, 0.9503956903228709, 0.9503729211776826, 0.9503639938470623, 0.9503692866755262, 0.9503745795039903, 0.9503797521378452, 0.9503684845669272, 0.9503543480965488, 0.9503613606471855, 0.9503689148802943, 0.9503730185791632, 0.9503600423875955, 0.9503433457784526, 0.9503509293762675, 0.9503585129740824, 0.9503660965718973, 0.9503736801697122, 0.9503812637675271, 0.9503888473653419, 0.950396430963157, 0.9504040145609718, 0.9504113506963693, 0.9504116046038495, 0.9503928116957295, 0.9503602365372614, 0.9503494355797513, 0.9503572875453744, 0.9503651395109974, 0.9503729914766206, 0.9503808434422434, 0.9503886954078665, 0.9503965473734896, 0.9504043968156787, 0.95041224343805, 0.9504160142412834, 0.9504151799717799, 0.9504086221247476, 0.9503934200706907, 0.9503796966188822, 0.9503655258661388, 0.9503713082349707, 0.9503791435677109, 0.9503869789004509, 0.950394814233191, 0.9503815229763444, 0.9503496733128965, 0.9503380515058438, 0.9503346848917076, 0.950333873580125, 0.9503348954441602, 0.9503348145868626, 0.9503175167751716, 0.950320631461065, 0.9503284621814985, 0.9503362903447883, 0.9503441159747674, 0.950350678598485, 0.9503523608572005, 0.9503493998973598, 0.9503406181575551, 0.9503387582759413, 0.9503399381056254, 0.950347751851472, 0.9503417185200074, 0.9503307937372323, 0.9503343500610566, 0.9503420587493137, 0.9503243008094593, 0.9503083726652785, 0.9503133877651121, 0.9503210937876505, 0.9503287998101889, 0.9503365058327273, 0.9503436512002373, 0.9503453212706714, 0.950335729500321, 0.9503217738713512, 0.9503157095589944, 0.9503127855274891, 0.9503205793897268, 0.9503283732519646, 0.9503361671142025, 0.9503433406651725, 0.9503329699942679, 0.9503123148721613, 0.9502952036625163, 0.9502886951946907, 0.950296355456552, 0.9503040157184132, 0.9503078242869223, 0.9502952868379042, 0.9502861860922716, 0.9502801253457969, 0.9502693667422386, 0.9502771445738206, 0.9502849224054025, 0.9502927002369845, 0.9503004780685664, 0.9503082552040458, 0.9503143106011469, 0.9503067085137289, 0.9502957942862378, 0.9503014192936023, 0.9503086204342609, 0.9503142468628701, 0.9503020211930411, 0.9502776569230811, 0.9502523035457765, 0.9502600682344453, 0.950267832923114, 0.950270699883315, 0.950255635426277, 0.950245044516904, 0.9502528059721271, 0.9502605674273501, 0.9502683248205672, 0.9502746486870557, 0.9502731725079632, 0.9502674142547347, 0.9502692962760471, 0.9502768600669348, 0.950284422278836, 0.9502915079483707, 0.9502921963460583, 0.9502692983073943, 0.9502358425105879, 0.9502308918265079, 0.9502379082523416, 0.9502456520282552, 0.9502533958041687, 0.9502611395800824, 0.9502688818196114, 0.9502734297927689, 0.9502696614313905, 0.9502639223020801, 0.9502554668566429, 0.9502499909939955, 0.950257719601924, 0.9502654482098523, 0.9502731760293808, 0.9502801180437637, 0.9502827528906681, 0.9502777282305339, 0.950260098276293, 0.95026781813413, 0.9502719271493631, 0.9502732344207165, 0.9502706324660211, 0.9502742340459038, 0.9502819481504152, 0.9502896590095825, 0.9502965921304853, 0.9502986574953735, 0.950297823440427, 0.950282774135074, 0.9502739190688098, 0.9502695481096997, 0.9502772471926989, 0.9502849462756982, 0.9502926453586973, 0.9503003444416964, 0.9503076221751916, 0.9503111634602818, 0.9503042118108571, 0.9502985800829788, 0.9503061753994912, 0.9503135573968153, 0.9503174322394166, 0.9503127003339878, 0.9503077178532993, 0.9503034225639528, 0.9503111035014622, 0.9503187844389713, 0.9503264605858674, 0.9503316993772233, 0.9503257236345715, 0.9503188299971728, 0.9503089161481897, 0.9503108565669011, 0.9503185238247607, 0.9503261899090119, 0.9503338548566567, 0.9503363198258494, 0.9503171548481, 0.9503122416137846, 0.9503181294574969, 0.9503257900089266, 0.9503331178669578, 0.9503389102231231, 0.9503255825813625, 0.9503075746641217, 0.9502900091322635, 0.9502762000323735, 0.950280258310518, 0.9502879105019064, 0.9502955626932947, 0.9503032148846833, 0.9503108670760717, 0.9503185192674601, 0.9503261658763749, 0.9503332958170619, 0.950321809317082, 0.9502940095597442, 0.9502790961371235, 0.9502867341032548, 0.9502943720693862, 0.9503020100355175, 0.950309648001649, 0.9503172859677803, 0.9503244391828725, 0.9503201384153862, 0.9503126524121601, 0.9503199163722127, 0.9503211671843106, 0.9503040602381889, 0.9502921678505595, 0.9502991749131575, 0.9503061819757556, 0.9503131890383536, 0.9503201961009515, 0.9503241015367863, 0.9503161337349788, 0.9502810282157643, 0.9502794611514064, 0.9502852194995399, 0.9502928333068731, 0.9503004471142065, 0.9503080609215397, 0.950315674728873, 0.9503232874205947, 0.9503306988732412, 0.9503372671486543, 0.9503384843136888, 0.9503251057016979, 0.9503009230923714, 0.9502780160036959, 0.9502856166771926, 0.9502932173506893, 0.9503008180241861, 0.9503084186976828, 0.9503148952169633, 0.9502996035968323, 0.9502598570040712, 0.9502072559831167, 0.9502097227214902, 0.9502173219761072, 0.9502249212307243, 0.9502325204853415, 0.9502399174936105, 0.950244909839077, 0.9502498317852763, 0.9502369824403909, 0.9502055837473308, 0.9502074064118333, 0.9502122346108954, 0.9502168867180537, 0.9502165367274455, 0.9502129381822262, 0.9502146955834145, 0.9502222798282229, 0.9502298640730311, 0.9502374483178395, 0.9502450325626478, 0.9502481504652598, 0.9502523465301984, 0.9502577445117348, 0.9502589888029003, 0.950254542710354, 0.9502440350638692, 0.9502348829617449, 0.9502351031129679, 0.9502208640416506, 0.9502284288508691, 0.9502359936600875, 0.9502435584693059, 0.9502511232785242, 0.9502586880877428, 0.9502632912815909, 0.9502534497111454, 0.950214539615478, 0.950174049518332, 0.9501457921719741, 0.9500968336918567, 0.9500972774314824, 0.9501048465629034, 0.9501124156943244, 0.9501199848257453, 0.9501275539571663, 0.9501351209749134, 0.9501340821696829, 0.9501286118711021, 0.9501232498892187, 0.950098886255909, 0.9500710082394673, 0.950077787576298, 0.9500845669131287, 0.9500913462499594, 0.9500981255867901, 0.9501033223399971, 0.9500985329906708, 0.9500764899014217, 0.9500517268743731, 0.9500452928126502, 0.9500528470064802, 0.9500604012003102, 0.9500679553941402, 0.9500755095879703, 0.9500738335233267, 0.9500508661437053, 0.9500413854598945, 0.9500385206138482, 0.9500320931124029, 0.9500386004988535, 0.9500461456003166, 0.9500536907017798, 0.950058051041625, 0.9500597257267718, 0.950056451180116, 0.9500546519441566, 0.9500552597001264, 0.9500552728472176, 0.9500538091042514, 0.9500570372686482, 0.9500645687172853, 0.9500717872533451, 0.9500766443349886, 0.9500795391662701, 0.9500729153399823, 0.9500553388149955, 0.9500547223505666, 0.9500486209433039, 0.9500518845995798, 0.9500594032492099, 0.95006692189884, 0.95007444054847, 0.9500819591981002, 0.9500885036913775, 0.9500799939583924, 0.9500329980813578, 0.9500320421181487, 0.9500363422398621, 0.95003377194892, 0.950027095398424, 0.9500241702663368, 0.9500316798090926, 0.9500327604973284, 0.950029448391709, 0.9500124360996367, 0.9500100175853445, 0.950017522919959, 0.9500250282545735, 0.9500325335891882, 0.9500400340956368, 0.9500409755686778, 0.9500276135277169, 0.9500109622363353, 0.950015202825611, 0.9500227008630331, 0.9500293988984807, 0.950032773109108, 0.9500306701838266, 0.950024855046512, 0.9500253715150091, 0.9500098517322271, 0.9500010083083037, 0.9499624584545034, 0.9499630052769685, 0.9499636231526678, 0.9499527987819409, 0.9499519721072311, 0.9499594567179428, 0.9499669413286544, 0.9499744259393661, 0.9499819105500777, 0.9499893951607894, 0.9499968797715009, 0.9500043643822127, 0.9500118455037383, 0.9500187559931832, 0.9500237921318146, 0.9500220652721205, 0.9500135148188612, 0.9500141333962073, 0.9500073468861081, 0.9499949144391024, 0.949999974279806, 0.9500050341205096, 0.9500100939612133, 0.9500150394640485, 0.9500178365976685, 0.9500105276484158, 0.9499867207737183, 0.9499716469626505, 0.9499617703177214, 0.9499692259159251, 0.9499766815141288, 0.9499841371123325, 0.9499915927105362, 0.9499990483087398, 0.9500065039069436, 0.9500106547564724, 0.9500043999773085, 0.9499866128451672, 0.9499710791903401, 0.9499633253309889, 0.9499707701587449, 0.9499782149865009, 0.9499847281739098, 0.9499897494721632, 0.9499864937008488, 0.9499708589688494, 0.9499612936047857, 0.949965637556768, 0.9499644676965153, 0.9499657248615184, 0.9499682117539886, 0.9499635607830919, 0.9499709928179002, 0.9499784248527088, 0.9499784519822242, 0.9499692806638051, 0.949960135876845, 0.9499664212572346, 0.9499738036256049, 0.9499811859939753, 0.9499875945609405, 0.9499880912745846, 0.9499854778265302, 0.949975206814138, 0.949965150847476, 0.9499602551098068, 0.9499670563572058, 0.9499744727090274, 0.9499818890608489, 0.949988035910438, 0.9499868906793417, 0.9499691632144092, 0.9499565205067292, 0.9499467071625269, 0.9499478377915156, 0.9499552453672436, 0.9499623100723766, 0.9499570451179717, 0.9499418384205804, 0.9499393275453516, 0.9499467337738492, 0.9499527772150081, 0.9499526605082099, 0.9499446445696338, 0.9499406903171761, 0.9499362564591181, 0.9499189337404428, 0.9499105185545221, 0.9499177302541892, 0.9499249419538565, 0.9499264206597002, 0.94990517359911, 0.9498602590640504, 0.9498415635132014, 0.9498332054769915, 0.9498373781514737, 0.9498440621828905, 0.9498507462143073, 0.9498516271509843, 0.9498305419755065, 0.9498074721574429, 0.9498077505696864, 0.9498149912048299, 0.9498222318399734, 0.9498294724751168, 0.9498367131102603, 0.949837069457713, 0.9498183475081046, 0.949791978684498, 0.9497716402192149, 0.9497789377193475, 0.94978623521948, 0.9497935327196126, 0.9498008302197454, 0.949808127719878, 0.9498154252200106, 0.9498142086000751, 0.9498082884062414, 0.9497905836244802, 0.9497852994219218, 0.9497926845844971, 0.9498000640852444, 0.9498074415273473, 0.9498122807797507, 0.9498016118516535, 0.9497749095805337, 0.9497566513760514, 0.9497286567062814, 0.949736030504972, 0.9497434043036628, 0.9497507781023535, 0.9497581519010441, 0.9497655256997348, 0.9497728994984256, 0.9497795933473613, 0.9497819313732597, 0.9497671420526898, 0.9497434877263711, 0.9497344513718275, 0.9497356477231902, 0.9497427641629832, 0.9497498806027764, 0.9497554469518852, 0.949756723784804, 0.9497495189844656, 0.9497388560584894, 0.9497341432706432, 0.9497290886536659, 0.9497320875528277, 0.9497394395782579, 0.9497467916036881, 0.9497541436291184, 0.9497614956261833, 0.9497688445896255, 0.9497672734447914, 0.9497641641173867, 0.9497595175786124, 0.9497572161505713, 0.9497645562415038, 0.9497713149202389, 0.9497772930736041, 0.9497803454241713, 0.9497759793187686, 0.9497433607973663, 0.9497172436027148, 0.949723300570545, 0.9497306310858409, 0.9497379616011368, 0.9497452921164325, 0.9497526226317283, 0.9497599531470242, 0.9497672836623201, 0.9497746141776158, 0.949781576450029, 0.949782175062631, 0.9497657650857019, 0.9497463233539709, 0.9497337302116347, 0.9497309530233531, 0.9497379043734181, 0.9497448557234831, 0.9497518070735481, 0.9497587584236131, 0.9497622622018382, 0.949759784976869, 0.9497548301539951, 0.9497508365290619, 0.9497518864329912, 0.9497588751299775, 0.9497626971829183, 0.9497579447015355, 0.9497435384051911, 0.9497293745870297, 0.9497185465817279, 0.9497176855991323, 0.9497130986466978, 0.9497133645555975, 0.9497173415118498, 0.949721318468102, 0.9497252954243544, 0.9497219856004857, 0.9497058329533358, 0.9496834348899574, 0.9496760935544386, 0.9496829892642156, 0.9496898849739925, 0.9496967806837696, 0.9497036763935466, 0.9497105721033235, 0.9497174678131006, 0.9497234402720918, 0.9497204260985809, 0.9497033092965232, 0.9496899231523553, 0.9496801024215447, 0.9496660022758019, 0.9496474680733313, 0.9496223667081883, 0.9496110369798931, 0.9496067442672107, 0.9496114498605674, 0.9496183423539235, 0.9496252348472796, 0.9496321273406356, 0.9496390198339915, 0.9496459123273475, 0.9496528048207035, 0.9496590129263949, 0.9496621228371287, 0.9496657782736033, 0.9496556198337345, 0.9496184021673781, 0.9495834438205364, 0.94958238603538, 0.9495896615116801, 0.9495969369879804, 0.9496042124642805, 0.9496114879405808, 0.9496187634168809, 0.9496260388931812, 0.9496300021227033, 0.949623911037621, 0.9496089512870022, 0.9495976978948124, 0.9495905331452192, 0.9495810453788636, 0.9495883100551705, 0.9495955747314777, 0.9496028394077848, 0.9496101040840919, 0.9496157576263329, 0.9496042375630965, 0.9495755315864252, 0.9495599979101661, 0.9495550566341908, 0.9495623158903466, 0.9495695751465023, 0.9495768344026582, 0.9495810208985155, 0.9495661263014634, 0.9495473668191449, 0.9495319148742343, 0.9495391679389209, 0.9495464210036076, 0.9495536740682943, 0.9495572053963037, 0.9495449084414894, 0.9495255430639131, 0.9495247266672067, 0.9495146304396076, 0.9495037616533145, 0.949506044710142, 0.9495132918477527, 0.9495205389853636, 0.9495277861229743, 0.9495303861817439, 0.9495255179748876, 0.9495170647760769, 0.9495219266450636, 0.9495207776437629, 0.9495220565528469, 0.949510906132297, 0.9494866291752546, 0.9494856611318487, 0.9494760190843918, 0.9494690366096604, 0.9494762756506845, 0.9494829930710316, 0.9494804068127227, 0.9494653068333072, 0.9494507486904737, 0.94944291427803, 0.9494490136615426, 0.9494551130450553, 0.949461212428568, 0.9494673118120805, 0.9494734075076101, 0.9494768834384727, 0.9494676946535352, 0.9494432707631676, 0.9494429880407512, 0.9494421711039791, 0.9494386533136825, 0.9494288711472703, 0.9494312520833451, 0.9494180924150091, 0.949403482043601, 0.9494099413230024, 0.9494164006024037, 0.9494201218744933, 0.9494176276668589, 0.9494104279150026, 0.9494090656179128, 0.9494162043878509, 0.9494189947698328, 0.9494131171973248, 0.9494039955942857, 0.9494075535589789, 0.9494147653813014, 0.949421977203624, 0.9494291883806654, 0.9494363675616948, 0.9494423250271253, 0.9494386664727181, 0.9494282449178879, 0.9494225837056864, 0.9494130521780271, 0.9493994161731574, 0.9494066170459643, 0.9494138179187712, 0.9494210187915781, 0.9494212965489957, 0.9494181643630566, 0.9493882758139384, 0.9493773578631339, 0.9493713748413374, 0.9493725388435676, 0.9493792607387694, 0.9493859826339712, 0.949392704529173, 0.949399426424375, 0.9494061483195768, 0.9494128702147786, 0.9494195921099804, 0.9494262567558331, 0.949429600647687, 0.949427062249506, 0.94940948529954, 0.9493946128363601, 0.9493876639498147, 0.9493897593588807, 0.9493969316559511, 0.9494041039530214, 0.9494112762500917, 0.9494183039297069, 0.9494231409333967, 0.9494176901071207, 0.9493884624391042, 0.9493953608457122, 0.9494025287113006, 0.9494096965768888, 0.9494168644424772, 0.9494240323080656, 0.9494312001736539, 0.9494383680392422, 0.9494455359048306, 0.9494520562489258, 0.9494531042716403, 0.9494328478864903, 0.9493906844023474, 0.9493770732855682, 0.9493710964474831, 0.94937825208335, 0.9493854077192171, 0.949384145333378, 0.9493694858952535, 0.949366435326165, 0.9493734749199597, 0.9493791094739268, 0.949380725221111, 0.9493818267133252, 0.9493773605285665, 0.9493684160607385, 0.949375448697289, 0.9493824813338393, 0.949386243316076, 0.9493780029793719, 0.9493610767756651, 0.9493514949396111, 0.9493586368676081, 0.9493657787956051, 0.9493729167203315, 0.9493800527872469, 0.9493853855658162, 0.9493857709048434, 0.9493814190195871, 0.9493764840492345, 0.9493772671627123, 0.9493843957623971, 0.9493847451097799, 0.9493795649941147, 0.9493491095562836, 0.9493485686616545, 0.949352914708547, 0.9493445456985665, 0.9493303187424187, 0.94932502400189, 0.9493321050554664, 0.9493391861090428, 0.9493462671626193, 0.9493533482161958, 0.9493592745058383, 0.9493610315860268, 0.9493538208840009, 0.9493399106786702, 0.9493348392861932, 0.9493412037830946, 0.9493473759091042, 0.949351229703582, 0.9493481866124448, 0.9493464903309232, 0.949310684803251, 0.9493016232423946, 0.9493064410903918, 0.9493135137308155, 0.9493205863712393, 0.949327659011663, 0.9493347316520868, 0.9493418014649591, 0.9493484524641631, 0.9493464957260833, 0.9493420493563505, 0.9493104579619267, 0.9492991268184579, 0.9492904875106731, 0.9492877177507097, 0.9492883883068957, 0.9492954851931771, 0.9493025820794587, 0.9493096789657403, 0.9493167758520218, 0.9493238727383033, 0.9493309696245849, 0.9493294072605027, 0.9493186075525264, 0.9492940902879299, 0.949283533204873, 0.9492775806270424, 0.9492763685942995, 0.9492834567755083, 0.949290544956717, 0.9492976331379258, 0.9493026503610973, 0.9492931885018261, 0.9492687126100312, 0.9492553391312495, 0.9492538607456775, 0.949240792020485, 0.949233470293539, 0.9492372040135297, 0.9492442851003269, 0.949251366187124, 0.9492584472739212, 0.9492655283607183, 0.9492726094475155, 0.9492796902473767, 0.9492867654600603, 0.9492784477535829, 0.9492749344758658, 0.9492481305668917, 0.9492242701749622, 0.9492151472766813, 0.9492077640608882, 0.9492147653558893, 0.9492217666508903, 0.9492287679458913, 0.9492357692408924, 0.9492427705358932, 0.9492497678731475, 0.9492561356573257, 0.9492604338422803, 0.9492307789767755, 0.9491930357962446, 0.949173471310419, 0.94917789694719, 0.9491849582032552, 0.9491920194593204, 0.9491990807153856, 0.9492061419714508, 0.949213203227516, 0.9492201671704366, 0.9492234665271061, 0.9492212411629999, 0.9492144388934329, 0.9491952754818334, 0.9491887712754823, 0.9491787984377915, 0.9491720834704633, 0.9491791317446945, 0.9491861800189254, 0.9491932282931566, 0.9492002765673877, 0.9492073248416187, 0.9492143731158498, 0.9492214213900809, 0.9492281630992017, 0.9492321886178661, 0.9492158304742062, 0.9491875863273571, 0.9491666860858938, 0.9491691123495858, 0.9491759680523526, 0.9491828237551194, 0.9491896794578862, 0.949196535160653, 0.9492033908634199, 0.9492057370396247, 0.9491935605458457, 0.9491781749453392, 0.9491713328703586, 0.9491783623032359, 0.9491837600630233, 0.9491809665213209, 0.9491684347488403, 0.9491477779715077, 0.9491419184590051, 0.9491376628300099, 0.9491427939519315, 0.9491497633801409, 0.9491567328083502, 0.9491637022365595, 0.9491706716647688, 0.9491776410929782, 0.9491846105211876, 0.9491871446621372, 0.9491805805082039, 0.9491612795331675, 0.9491536166029226, 0.9491478161790473, 0.9491511454397075, 0.949157230380037, 0.9491633153203665, 0.9491694002606959, 0.9491754851396145, 0.9491819620392652, 0.9491713551470629, 0.9491576767330369, 0.9491343392259637, 0.9491125390500141, 0.9491155060856067, 0.9491225070756872, 0.9491295080657676, 0.949136509055848, 0.9491435100459285, 0.9491505110360088, 0.9491575120260893, 0.9491645130161697, 0.9491715111560239, 0.9491767550883295, 0.9491768821361977, 0.9491735279942994, 0.9491634694952227, 0.9491465085723492, 0.9491294783389355, 0.9491228887475116, 0.9491298750558208, 0.9491368613641298, 0.949143847672439, 0.9491508339807481, 0.9491578202890572, 0.9491648065973662, 0.94916453665346, 0.9491598949229976, 0.9491506917738328, 0.9491502393034068, 0.9491435015771865, 0.9491293577317278, 0.9491305553473925, 0.9491275977425537, 0.949117546463057, 0.9491057585783609, 0.9491120217805193, 0.949118915294322, 0.9491258088081249, 0.9491327007565473, 0.9491389111348522, 0.9491396522286725, 0.9491250307617327, 0.9491143613177662, 0.9490845951778966, 0.9490736292421149, 0.9490793718742263, 0.9490851145063375, 0.9490908571384487, 0.949094806299574, 0.9490929845646846, 0.9490851847065647, 0.9490781557799786, 0.9490849821112584, 0.9490918084425384, 0.9490965369989434, 0.9490861595713816, 0.9490178463145653, 0.9488677420883082, 0.948850950663828, 0.9488380563069069, 0.9488230002115408, 0.9488088171673933, 0.9487994369068867, 0.9488064226749011, 0.9488134084429156, 0.94882039421093, 0.9488273799789444, 0.9488343634482325, 0.9488323556573068, 0.9488248655533364, 0.9488134513971096, 0.9488051060349769, 0.9487961453260376, 0.9487779626906993, 0.9487817905414274, 0.9487886408551625, 0.9487954911688973, 0.9488023414826323, 0.9488091917963672, 0.9488160421101022, 0.9488228924238371, 0.948829742737572, 0.948836593051307, 0.948840686684072, 0.9488301578705556, 0.9487650766492615, 0.9486772544936408, 0.9486685724707934, 0.9486722676061032, 0.9486785758260081, 0.948684884045913, 0.9486911922658179, 0.9486975004857228, 0.9487038087056276, 0.9487101169255325, 0.9487164251454375, 0.9487191385572105, 0.9486904853237932, 0.9486952520898488, 0.9486884661136162, 0.9486043331420976, 0.9484386335412864, 0.9483521501268247, 0.9483162096062534, 0.9483005502445705, 0.9483048597722792, 0.9483033669716536, 0.9482985084353013, 0.9482950813953048, 0.9482948603296028, 0.9482932448990784, 0.9482837987127903, 0.9482671470337505, 0.9482585925705674, 0.9482655969941779, 0.9482726014177884, 0.9482796058413988, 0.9482866102650092, 0.9482929911429682, 0.9482954744079845, 0.9482903951685084, 0.9482832997116579, 0.948277629867522, 0.9482681505352939, 0.9482573726573734, 0.9482587438355248, 0.9482656885690712, 0.9482726333026179, 0.9482793663274147, 0.9482784855237107, 0.9482580233626429, 0.9482333685115651, 0.9482301003855598, 0.9482223482995906, 0.9482085354783055, 0.9482133395411863, 0.9482203263374249, 0.9482273131336637, 0.9482342999299025, 0.9482412867261413, 0.9482482735223801, 0.9482548222017033, 0.948259646051322, 0.9482561703319037, 0.9482461069342676, 0.9482343788073178, 0.9482326992059036, 0.9482328898703667, 0.9482289993034645, 0.9482204012023976, 0.948216650204984, 0.9482236251845576, 0.9482276019633675, 0.9482268084324219, 0.9482220378226648, 0.9482090218738448, 0.948206118126866, 0.9482120353811847, 0.9482153272930132, 0.948206369339089, 0.948195141609723, 0.9481867936038046, 0.9481774174255244, 0.9481742543234117, 0.9481809269780084, 0.9481875996326049, 0.9481942717774476, 0.9481994233181823, 0.9481979905087872, 0.9481784400219158, 0.94815205794217, 0.948125436081448, 0.9481135207462428, 0.9481149389752981, 0.9481005418107802, 0.9481015859957718, 0.9481085515650935, 0.9481154263654945, 0.9481207971935663, 0.9481219754220724, 0.9481289383754766, 0.9481359013288808, 0.9481385619892737, 0.9481298473649928, 0.9481088692738566, 0.9481080436155274, 0.9481036327848652, 0.9480935927357854, 0.9480799448370103, 0.9480640982683897, 0.948060797107694, 0.9480677521753248, 0.9480747072429556, 0.9480816623105865, 0.9480881464890183, 0.9480937598363128, 0.948094871290359, 0.9480938621200999, 0.9480855420150327, 0.9480810010802001, 0.9480873746721715, 0.9480925203606283, 0.9480786229999247, 0.9480622600264224, 0.9480445036781808, 0.9480455508422599, 0.9480524914837425, 0.9480594321252251, 0.9480663727667076, 0.9480733134081902, 0.948080251388455, 0.9480850590315542, 0.9480845471748811, 0.948080646235621, 0.948072497145835, 0.9480580981934985, 0.9480464567141251, 0.9480215602090016, 0.9479979302092965, 0.9479883645220037, 0.94799529916453, 0.9480022338070562, 0.9480064623163116, 0.9480034968994828, 0.9479949009482789, 0.9479953280929732, 0.9479954486467711, 0.9479787836050841, 0.9479538097708988, 0.9479607414144147, 0.9479676730579305, 0.9479746047014461, 0.9479788578035098, 0.9479679337839535, 0.9479451919863162, 0.9479205695001536, 0.9479211431002647, 0.9479271996295807, 0.9479332561588969, 0.947939312688213, 0.9479436717714786, 0.9479437931568699, 0.947938603985135, 0.9479252458874302, 0.9479115384603979, 0.9479014844435804, 0.9478913094218506, 0.9478926102712226, 0.9478995262502354, 0.9479064422292485, 0.9479133582082615, 0.9479202741872745, 0.9479271901662876, 0.9479341061453006, 0.9479410221243136, 0.9479465060787557, 0.9479355965369833, 0.947915688067437, 0.9479123645432499, 0.9479191840553436, 0.9479237458924995, 0.9479196795547511, 0.947907965526429, 0.9478982622055161, 0.947891084493864, 0.9478979888975181, 0.9479048933011722, 0.9479117977048264, 0.9479187021084805, 0.9479230547857938, 0.9479194599890194, 0.9479064339119718, 0.9478973689193183, 0.9478959342802689, 0.9478856883454032, 0.9478742972009846, 0.9478725748475394, 0.9478711615365129, 0.9478625422611096, 0.9478563274789498, 0.947863219555046, 0.9478701116311423, 0.9478768694171772, 0.9478808762214974, 0.9478796837785598, 0.9478751561255645, 0.9478693122776718, 0.9478741013371359, 0.9478809887442818, 0.9478878761514277, 0.9478947600958025, 0.9478968990251821, 0.9478812047962999, 0.9478551186732262, 0.9478458878107437, 0.9478524832498347, 0.9478590786889257, 0.9478656741280167, 0.9478722695671076, 0.9478788650061987, 0.9478854604452897, 0.9478920558843806, 0.9478986513234717, 0.9479029344347935, 0.9479012651012806, 0.9478835032164595, 0.9478626103218457, 0.9478447669148189, 0.9478332386312512, 0.9478401021346285, 0.9478469656380057, 0.9478538291413832, 0.9478606926447605, 0.9478675561481377, 0.947874419651515, 0.9478812831548922, 0.9478881466582696, 0.9478950101616469, 0.9479017513410788, 0.9478991881703465, 0.947883584548997, 0.9478596051280677, 0.9478301055350635, 0.9478345626205043, 0.9478401713427405, 0.9478457737475656, 0.9478240327246505, 0.9478122742440571, 0.9478186880438657, 0.9478255416143329, 0.9478323951848, 0.9478392475466598, 0.9478460963977459, 0.9478529443813032, 0.9478453398379219, 0.9478372732591085, 0.9478205084022893, 0.9478127165029493, 0.9478174237124056, 0.9478242608444969, 0.9478310979765883, 0.9478379351086796, 0.947844772240771, 0.9478516093728623, 0.9478584465049535, 0.9478652836370449, 0.9478721207691363, 0.9478760373130399, 0.9478730334577277, 0.9478683429334684, 0.9478597547772778, 0.9478573345211496, 0.9478559433728839, 0.9478444433565967, 0.9478331946459224, 0.9478400172702586, 0.9478468398945946, 0.9478536625189307, 0.9478604851432668, 0.9478673077676028, 0.9478741303919389, 0.9478807078503383, 0.9478866475073413, 0.9478912117243156, 0.947885121172084, 0.9478615664110919, 0.9478356382879966, 0.9478310110479867, 0.9478372078838616, 0.9478434047197366, 0.9478496015556115, 0.9478557983914865, 0.9478584787350146, 0.947853507178025, 0.9478537730930068, 0.9478598759261432, 0.9478618551721637, 0.9478580384217593, 0.9478520122701805, 0.947840869931156, 0.9478357871073608, 0.9478329157752905, 0.9478296253376577, 0.9478284441574312, 0.9478310105824479, 0.947837809497087, 0.9478446084117258, 0.9478514073263647, 0.9478581355700901, 0.947846248358498, 0.9478049847697015, 0.947781127073223, 0.9477623316485863, 0.9477686749888045, 0.9477750183290226, 0.9477813616692409, 0.9477877050094592, 0.9477940483496774, 0.9477951427546178, 0.9477861791950466, 0.9477640351169164, 0.9477647504469691, 0.9477698482574617, 0.9477730291531408, 0.9477703871956711, 0.9477559771082953, 0.9477480141613688, 0.9477544530219645, 0.9477599033026468, 0.9477566709022929, 0.9477520740170173, 0.9477414504208728, 0.9477444712018481, 0.9477509064881349, 0.947747664145747, 0.9477373921349016, 0.9477162355426845, 0.9477215905784802, 0.9477283710599931, 0.9477351515415058, 0.9477419320230187, 0.9477487125045314, 0.9477554929860443, 0.9477622691928493, 0.9477677846665148, 0.9477629856756266, 0.9477297753980092, 0.9477079309766303, 0.9476961981453182, 0.9476858275714068, 0.9476839811621496, 0.9476904652588174, 0.9476972350656263, 0.9477040048724354, 0.9477034056939176, 0.9476939717985445, 0.9476843575523415, 0.947686009130613, 0.9476927775325865, 0.9476995459345603, 0.947705721974706, 0.947711137949053, 0.9477172456267664, 0.9477194457879685, 0.9477086554813956, 0.9476961560542483, 0.9476897403201695, 0.9476789820107052, 0.9476630864992088, 0.9476594279998141, 0.9476661859017533, 0.9476729438036926, 0.947679701705632, 0.9476797832560562, 0.9476608845579025, 0.9476335696835071, 0.9476137682512462, 0.9476205223320566, 0.9476272764128671, 0.9476340304936776, 0.9476407845744881, 0.9476475386552985, 0.9476542927361089, 0.9476606115105346, 0.9476656826517251, 0.9476623156530206, 0.9476434137340978, 0.9476225546769751, 0.9476054394919888, 0.9476067925105129, 0.9476133479870958, 0.9476140508069244, 0.9476052386434596, 0.9475892331671616, 0.9475760514949068, 0.9475741322912776, 0.94757120207919, 0.9475682130214937, 0.9475710446165782, 0.9475777890551095, 0.9475730483375682, 0.947569469976968, 0.9475463372793096, 0.9475109031767575, 0.9474959601795996, 0.9474868701452654, 0.9474708535923579, 0.9474650893806942, 0.947469989736522, 0.9474709380332667, 0.9474640652903803, 0.9474589783014931, 0.9474555752699483, 0.9474622005718821, 0.9474688249120169, 0.9474741275589056, 0.9474708135698519, 0.9474469631556285, 0.9474113725431322, 0.9473833547108494, 0.9473566522067468, 0.94735306704486, 0.9473581058789915, 0.9473529982135271, 0.9473475242965884, 0.9473229722268988, 0.9473210172432267, 0.9473277661022919, 0.9473345136993909, 0.947340731238003, 0.9473425153377228, 0.947334192190942, 0.9473242438244739, 0.9472941476317477, 0.9472762365991907, 0.9472628261569251, 0.947254333002334, 0.9472520476749159, 0.9472531536127446, 0.9472218339570788, 0.9472269981069594, 0.9472337428636036, 0.9472404876202478, 0.947247232376892, 0.9472539771335362, 0.9472607218901804, 0.947260374325954, 0.947257288527601, 0.9472515048268273, 0.9472348395782703, 0.94722242098942, 0.9472188583761998, 0.9472065619675397, 0.9471977284437897, 0.9472044626436693, 0.9472111968435488, 0.9472179310434283, 0.9472246652433081, 0.9472313994431876, 0.9472381336430672, 0.9472448678429468, 0.9472516020428263, 0.9472556766954475, 0.9472407370338802, 0.9472068008305125, 0.9471795173083599, 0.9471773343100593, 0.9471840140871555, 0.9471906938642515, 0.9471973736413475, 0.9472040534184436, 0.9472107331955396, 0.9472174129726356, 0.9472240897763204, 0.9472293899502675, 0.9472284176669448, 0.9472206474284263, 0.9472140416837752, 0.9472164518875889, 0.9472231231985417, 0.9472297945094947, 0.94723646798096, 0.947242740880776, 0.9472420015141791, 0.947236211908319, 0.9472221113567905, 0.9472100541972257, 0.947215922067413, 0.9472217899376005, 0.947227657807788, 0.9472284450167006, 0.9472064718328965, 0.9471967190881354, 0.9471921242160892, 0.947180670600765, 0.9471682470648308, 0.9471658935381627, 0.9471725256582604, 0.9471791577783579, 0.9471857898984557, 0.9471824062501759, 0.9471608776199332, 0.9471313199525756, 0.9471265263507738, 0.947133224107866, 0.9471399218649583, 0.9471466196220506, 0.9471533173791429, 0.9471589759976263, 0.9471527810374127, 0.947130173228467, 0.9471256664593494, 0.9471323629823412, 0.9471390556225765, 0.9471457473503226, 0.9471522142734033, 0.9471530904858145, 0.9471474198853224, 0.947123957822218, 0.9471120722926849, 0.9471161571830266, 0.9471228431231524, 0.9471295290632783, 0.9471341342559514, 0.9471326002931931, 0.9471258643280162, 0.9471200775901958, 0.9471267612247485, 0.947133442889905, 0.9471392085200434, 0.9471372682276895, 0.9471251956519937, 0.9471017855184756, 0.9470932365843194, 0.9470963216448592, 0.9471007297488255, 0.9470933181927659, 0.9470760696396836, 0.9470721768317854, 0.9470788535530601, 0.9470855302743346, 0.9470922069956094, 0.9470988837168839, 0.9471051249274696, 0.9471088604053072, 0.9471078537394603, 0.9471029872653725, 0.9470937304001087, 0.947076526923091, 0.9470642555434625, 0.9470658594707735, 0.9470725257969088, 0.9470791921230439, 0.9470858580425983, 0.9470914200767419, 0.9470859368612801, 0.9470526507577968, 0.9470327728245974, 0.9470329154447766, 0.9470375813573432, 0.9470442433177575, 0.9470509052781716, 0.9470572217738547, 0.947062927144943, 0.9470582160648313, 0.9470481904000005, 0.9470353326014275, 0.9470222597377194, 0.9470144749089036, 0.9470061795339362, 0.9470128343856269, 0.9470194892373178, 0.9470225613336007, 0.9470217828078159, 0.947016975471612, 0.9470087821446683, 0.947008516210213, 0.9470151684586663, 0.9470218207071195, 0.9470284703510491, 0.9470351179531704, 0.9470411024256302, 0.9470398089028281, 0.947026171188758, 0.9470052753610615, 0.946989651115042, 0.946981276543584, 0.94698791647331, 0.9469945564030361, 0.947001196332762, 0.9470078362624881, 0.9470144761922141, 0.947021066979445, 0.9470275339274487, 0.9470281520342247, 0.947016916654005, 0.9470082218215417, 0.947013656680969, 0.9470202907814969, 0.947026922060576, 0.9470237993045048, 0.9470037686401684, 0.9469866649386127, 0.9469668303730735, 0.9469580716060852, 0.9469647025745793, 0.9469713335430734, 0.9469779645115672, 0.946980773857264, 0.9469697869511636, 0.9469516016719919, 0.9469411926946505, 0.9469419928203, 0.9469486181671353, 0.9469552435139705, 0.9469618688608059, 0.9469632214486765, 0.9469584975353956, 0.9469524923879132, 0.9469456938327947, 0.9469416980785605, 0.9469440015049977, 0.9469442025785899, 0.9469344812962424, 0.9469226708293714, 0.9469229173143516, 0.9469288355302182, 0.9469213532102996, 0.9469139279509575, 0.9469186023031656, 0.9469138097610743, 0.9469090402255097, 0.9469033381932114, 0.9469099254994999, 0.9469165128057884, 0.946923100112077, 0.9469296874183655, 0.9469362738170503, 0.9469428321218334, 0.9469484074740223, 0.9469422359757398, 0.9469202157716389, 0.9468937645034561, 0.9468802153882065, 0.9468834281198107, 0.9468873424710194, 0.9468912568222281, 0.94689234914178, 0.9468856988269697, 0.9468713644190014, 0.9468521177191203, 0.9468513557930016, 0.9468485309993098, 0.9468419666204444, 0.9468414574775104, 0.9468480601498845, 0.9468541014927987, 0.946852976291636, 0.9468319900472978, 0.9468024391172736, 0.9467934468385752, 0.9467698891495533, 0.9467705933344777, 0.9467756883992724, 0.9467807834640671, 0.9467858785288619, 0.9467882934987537, 0.9467908529375135, 0.9467910766688411, 0.9467851592117187, 0.9467756959354332, 0.946772326112897, 0.9467756174515424, 0.9467702890523297, 0.9467634451297138, 0.9467542377956877, 0.9467531832455482, 0.9467575917979217, 0.9467516712805384, 0.946745740758445, 0.9467376439054229, 0.94673766672474, 0.9467442242512147, 0.946749959762095, 0.946753294395903, 0.9467506541289152, 0.9467442813640097, 0.9467313882469888, 0.9467260835415312, 0.946732178769943, 0.9467382739983545, 0.9467392090877487, 0.9467379671925709, 0.9467266676584581, 0.9467195752769704, 0.9467152877332233, 0.9467083536249861, 0.9467149037777052, 0.9467214810373126, 0.9467276126130967, 0.9467196484142286, 0.9467094507133165, 0.9467019955817965, 0.946708507291136, 0.9467150852121982, 0.9467216620230953, 0.9467278188235291, 0.9467293537595032, 0.9467179540323379, 0.9466986263640621, 0.9466955897425919, 0.9466875569314974, 0.9466900591938043, 0.9466919990746394, 0.9466871880992767, 0.9466885379732746, 0.9466794183895388, 0.9466859858917531, 0.9466925533939675, 0.9466988886710612, 0.9467040066230712, 0.9467047871230325, 0.9467005594814359, 0.9466913825072208, 0.9466778474703289, 0.946667836717423, 0.9466603704219982, 0.946662968384403, 0.946669486111843, 0.9466741004073429, 0.9466741925509488, 0.9466723439023876, 0.9466671970331046, 0.9466654544826785, 0.946659559782756, 0.9466514141223351, 0.9466544479036888, 0.9466512793392222, 0.946645750168621, 0.9466471194889313, 0.9466533487537347, 0.9466551681820862, 0.9466465950311472, 0.9466421000820745, 0.9466340998611061, 0.9466406499945713, 0.9466471995776529, 0.9466537464674645, 0.9466598936167221, 0.9466569720741218, 0.9466425228881827, 0.9466119974777395, 0.9466101502967224, 0.946616695540444, 0.9466230002078582, 0.9466259575829488, 0.9466183046215704, 0.9465965313919429, 0.9465796649128309, 0.9465742358706257, 0.9465790483510033, 0.9465854619267433, 0.9465918755024834, 0.9465982890782234, 0.9466047026539635, 0.9466111162297036, 0.9466175293349419, 0.9466233364580989, 0.9466249069704304, 0.9466222454105562, 0.946610385771556, 0.9465851606267632, 0.9465760282233557, 0.946582360522408, 0.9465886928214603, 0.9465950251205126, 0.946601357419565, 0.9466076897186172, 0.9466128861532959, 0.9466089121088773, 0.9465873640277976, 0.9465813206510383, 0.9465878457843699, 0.9465903439102772, 0.9465887373199273, 0.9465898719313759, 0.9465910905644229, 0.9465860590193935, 0.9465811734061775, 0.9465876947029018, 0.9465832855957574, 0.9465618519313784, 0.9465446428181485, 0.9465323874890439, 0.9465277680358812, 0.9465342021582692, 0.9465406362806572, 0.9465470704030452, 0.9465535045254332, 0.9465599386478212, 0.9465663727702093, 0.9465728068925973, 0.9465792410149854, 0.9465855574765665, 0.946579511907855, 0.9465610666129081, 0.9465303541558188, 0.9465260312229639, 0.9465213515201054, 0.94651860986676, 0.9465251184838617, 0.9465316263442962, 0.9465282210442527, 0.9465032885682981, 0.9464756654143209, 0.9464625990704765, 0.9464569920732728, 0.9464634979128638, 0.9464700037524549, 0.9464765095920459, 0.9464830154316368, 0.946489519715775, 0.946494931386036, 0.9464944765369987, 0.946485740600737, 0.9464723588612378, 0.9464653885513877, 0.9464542844162005, 0.9464407783246354, 0.9464389157449793, 0.9464321471913777, 0.9464298846725987, 0.94643638615208, 0.9464406879690254, 0.9464447577267061, 0.9464390481861957, 0.946421840054747, 0.9463982816908751, 0.9463856587545298, 0.9463921560312294, 0.9463931844541897, 0.9463839117284332, 0.9463614329255987, 0.9463614993231793, 0.9463679972437653, 0.946374155733354, 0.9463778472332018, 0.9463710168492709, 0.9463547213447805, 0.9463469294996485, 0.9463294027620834, 0.9463340333363501, 0.9463344966034781, 0.9463331199393539, 0.9463265544284927, 0.9463217277941579, 0.9463277338711137, 0.9463337399480695, 0.9463344622180736, 0.9463237549331867, 0.9463012189729313, 0.9462786082868719, 0.9462754233170172, 0.9462815597661749, 0.9462876962153328, 0.9462877586112723, 0.9462719273226107, 0.9462431090846428, 0.9462352571975767, 0.9462414834798414, 0.9462477097621063, 0.9462539360443709, 0.9462582983742399, 0.9462583270123599, 0.9462533539205518, 0.9462392780236873, 0.9462266402724164, 0.9462300522190599, 0.946226906781557, 0.946220676830551, 0.9462190761267678, 0.9462254185295234, 0.9462317609322788, 0.9462380654025824, 0.9462315696415009, 0.9462149016025616, 0.9462004799079836, 0.9461913382048396, 0.946190876833094, 0.946197104452362, 0.9462033320716303, 0.9462095596908986, 0.9462157873101668, 0.9462198699427901, 0.9462142921568234, 0.9462062229557539, 0.9461886193943042, 0.9461847945864497, 0.946186950036976, 0.9461794307348621, 0.9461568424707825, 0.9461462023095024, 0.946128639578061, 0.946135115035322, 0.9461415894796563, 0.9461480616550575, 0.9461480766353658, 0.9461441311461258, 0.9461435484180207, 0.9461425075002071, 0.9461276081175798, 0.9461173249162731, 0.9461052284867606, 0.9461072528966677, 0.9461126664762005, 0.9461180800557334, 0.9461198570559275, 0.9461060705605058, 0.9460794052314275, 0.9460557106125852, 0.9460496964758639, 0.9460561611160092, 0.9460626257561544, 0.9460690903962998, 0.946075555036445, 0.9460820196765904, 0.9460884843167358, 0.9460949489568808, 0.9461014135970263, 0.9461036600888892, 0.9461011965857606, 0.9460868220713841, 0.946064155676178, 0.946042500804143, 0.9460362621676534, 0.9460377876963364, 0.9460407509281556, 0.9460437141599751, 0.9460466773917945, 0.9460495778144353, 0.9460524677660034, 0.9460472345893816, 0.9460430898256882, 0.9460206947990656, 0.9460221858688838, 0.9460215204786906, 0.9460159984337533, 0.9460170909302308, 0.9460235388476581, 0.9460299867650854, 0.9460364346825128, 0.9460428825999402, 0.9460493305173675, 0.9460557784347948, 0.9460622263522223, 0.9460661416526843, 0.9460582620403032, 0.946032176385301, 0.9460090443429421, 0.9459904609970797, 0.9459940863151165, 0.9460005253673953, 0.946006964419674, 0.9460134034719527, 0.9460198425242314, 0.9460262815765101, 0.946032720628789, 0.9460391580198151, 0.9460432465886952, 0.9460421352143882, 0.9460370650696116, 0.9460291821841627, 0.9460183815402422, 0.9460064761505325, 0.9459912907988428, 0.9459917441983761, 0.9459980156195179, 0.9460042727987267, 0.9460085878359037, 0.946006056459159, 0.9460038026781237, 0.9459896776792804, 0.9459926711838187, 0.9459990994381826, 0.94600435948918, 0.9460025086276678, 0.9459925402879537, 0.9459915900056871, 0.9459743816778163, 0.9459754559060862, 0.9459665846755184, 0.9459588497499364, 0.9459611027044226, 0.9459675229782856, 0.9459739428273091, 0.9459802582894887, 0.9459843572034055, 0.9459745557696987, 0.9459421798285007, 0.9459283846851311, 0.9459292777363332, 0.945917624443306, 0.9459073766242427, 0.9458986044816299, 0.9458830799512606, 0.9458656364217138, 0.9458578076002784, 0.9458630745883532, 0.9458683415764282, 0.9458708051588463, 0.9458649112147113, 0.9458628136532501, 0.9458483840852452, 0.9458355344094289, 0.9458285065638667, 0.945832302762845, 0.945838718067409, 0.9458451333719731, 0.9458515472163003, 0.9458563962575746, 0.9458579533779743, 0.9458563286919692, 0.9458513713665905, 0.9458504802843941, 0.9458430351950702, 0.9458282491209065, 0.9458111020160336, 0.9458093450380112, 0.9458150793299547, 0.9458187481804936, 0.9458038533907427, 0.9457887207620688, 0.9457694651044226, 0.9457695340193006, 0.9457715882189526, 0.9457736424186047, 0.9457756966182567, 0.9457750868221796, 0.9457642166311255, 0.9457567162388758, 0.9457497492818985, 0.9457473459922162, 0.9457469927425515, 0.9457423833327623, 0.9457358140438782, 0.9457377771403845, 0.9457441811181411, 0.9457505850958976, 0.9457537884554721, 0.9457479801712718, 0.9457244769592474, 0.9456859930598651, 0.9456684634326072, 0.9456748668538713, 0.9456812702751354, 0.9456876736963995, 0.9456940771176635, 0.9456969892299987, 0.9456876274047273, 0.9456712745271701, 0.9456530576162436, 0.9456413574542442, 0.9456477569189092, 0.9456541563835743, 0.9456605558482392, 0.9456669553129042, 0.9456607421319654, 0.9456426679006948, 0.9456141579538813, 0.9455861514231104, 0.9455867275114469, 0.945593125979602, 0.9455995244477571, 0.9456059229159122, 0.9456123213840675, 0.9456161252309252, 0.9456036979732517, 0.9455855236191044, 0.945568490323677, 0.9455623231470798, 0.945568716932669, 0.945575110718258, 0.9455815045038471, 0.9455878982894363, 0.9455938033012936, 0.9455914804200198, 0.9455735845726597, 0.945545907653928, 0.945536590614155, 0.9455184177384374, 0.9455217647130858, 0.945528093156495, 0.9455339681647925, 0.9455297567087344, 0.9455002107598007, 0.945472949572947, 0.9454594679635137, 0.9454658593093559, 0.945472250655198, 0.9454786420010401, 0.9454850332375881, 0.9454914225545347, 0.9454938479542188, 0.9454767730045197, 0.9454618676739566, 0.9454307224524472, 0.9454302682959856, 0.9454366567563423, 0.9454430452166991, 0.9454441142731165, 0.9454409411634057, 0.9454081101121856, 0.9453785718648402, 0.9453656480131074, 0.9453706950289349, 0.9453770839021665, 0.945383472775398, 0.9453898606066191, 0.945384379354317, 0.9453640640019012, 0.9453434737140801, 0.9453200772819927, 0.9453178781886673, 0.945323921019926, 0.9453298089236593, 0.9453321433227848, 0.9453252858252996, 0.945289855015014, 0.9452574620483357, 0.9452447114261493, 0.9452437597846306, 0.9452482695631965, 0.945246111815673, 0.9452349486792114, 0.945223131045194, 0.945212911213837, 0.9451964372203194, 0.9451874137809533, 0.9451861467076565, 0.9451925371750709, 0.9451940848107623, 0.9451841125827911, 0.9451827832540112, 0.9451786950005737, 0.9451828100907607, 0.9451835124868401, 0.9451822910811318, 0.9451736514170184, 0.9451624226462052, 0.9451682569857048, 0.9451719315289921, 0.9451634955543603, 0.945150241571496, 0.9451280083399374, 0.9451083788665948, 0.9450875523736603, 0.945081358639057, 0.9450877457644838, 0.9450941328899106, 0.94509807492667, 0.9450956900966325, 0.9450838345384399, 0.9450627177926143, 0.945040379794458, 0.9450277458459081, 0.9450236759534214, 0.94503000496004, 0.945035688256251, 0.9450306212101642, 0.945025391083891, 0.9450156911805045, 0.9450154753165334, 0.94501953303913, 0.9450075237773323, 0.9449987979730525, 0.9449882480793348, 0.9449946315434574, 0.9449963344570016, 0.9449950929513754, 0.9449945066845974, 0.9449916556258326, 0.944984358526662, 0.9449883791204985, 0.9449864753345217, 0.9449793549972004, 0.9449675935632753, 0.9449617450643029, 0.9449680467160966, 0.9449730412058583, 0.9449724235406711, 0.944962114397155, 0.9449501185505861, 0.9449331224161555, 0.9449239612099696, 0.9449140823857353, 0.9449146913114579, 0.944920928715828, 0.9449235383541303, 0.9449155110922569, 0.9449038304429754, 0.9448985813490469, 0.9448925065700191, 0.9448889795409905, 0.9448797885486122, 0.9448760242863805, 0.9448679888064224, 0.9448739575293615, 0.9448710020651722, 0.9448595919495886, 0.9448328181456834, 0.9448041352535734, 0.9447949330468096, 0.944798818773154, 0.94480492285213, 0.944811026931106, 0.9448171310100821, 0.9448159687176496, 0.9448029339456392, 0.9447796895545002, 0.9447491828887411, 0.9447327765523319, 0.9447116181284902, 0.9447068616726837, 0.9447004466764047, 0.9446846923817778, 0.9446752369333584, 0.9446716140369387, 0.9446542947226728, 0.9446519013136885, 0.9446579467553884, 0.9446583012283111, 0.94465455247755, 0.9446492929452881, 0.9446387951531663, 0.9446350116034019, 0.9446408199032788, 0.9446395418578927, 0.9446156931920013, 0.9445766486515355, 0.9445382593007537, 0.9445441510316024, 0.9445500427624512, 0.9445559344933001, 0.9445507325206646, 0.9445429205808471, 0.9445320736456586, 0.9445334634899186, 0.9445253206054003, 0.9445095986150607, 0.9444818410220709, 0.9444501797522706, 0.9444412961118044, 0.9444360372645348, 0.9444399414213087, 0.9444387669809882, 0.9444306999455864, 0.9444196721988924, 0.9444098588789496, 0.9443986729529793, 0.9443932543338418, 0.9443788198776892, 0.944364551650424, 0.9443570950565896, 0.9443463996928292, 0.9443365963522776, 0.9443226227943826, 0.9443074842494072, 0.9443059056614949, 0.9443111406802702, 0.9443108141388016, 0.9443115675162972, 0.9443036587684666, 0.9442835594048655, 0.9442565289659772, 0.9442376467397934, 0.9442257708888251, 0.9442149301131271, 0.9441907342927175, 0.9441758373189688, 0.9441821371548214, 0.9441779810571564, 0.944178851481108, 0.9441698985693339, 0.9441558856061938, 0.9441477286265453, 0.9441365089419799, 0.944124286607099, 0.9441072486811926, 0.9440948481645981, 0.9440847427974159, 0.944073652013252, 0.9440715396100442, 0.9440778972436137, 0.9440842548771831, 0.9440875897438012, 0.944083590037891, 0.9440752204358114, 0.9440668277681079, 0.9440635167959501, 0.9440602619773568, 0.9440469725471071, 0.9440303986258031, 0.9440237772457616, 0.9440125357029914, 0.943988244671197, 0.9439779798000596, 0.9439692148370395, 0.943974357579277, 0.9439803872818144, 0.9439864169843519, 0.9439924466868894, 0.9439963361071722, 0.9439941853012206, 0.9439849026360325, 0.9439679210999425, 0.9439510634738317, 0.9439370666687348, 0.9439429500469663, 0.943945447884893, 0.9439404548957628, 0.9439245971257695, 0.9438928780318818, 0.9438728790940152, 0.9438783225678253, 0.9438758941897375, 0.9438665415355598, 0.9438540005590428, 0.9438460405871385, 0.9438396149805162, 0.9438305083052649, 0.9438263696845325, 0.9438311316247898, 0.9438375199353229, 0.9438439060159571, 0.9438338834298139, 0.943811538967996, 0.9437895790837718, 0.943770925198682, 0.9437548804222327, 0.9437571835410167, 0.9437602180633115, 0.9437441196303051, 0.94372361921888, 0.9436896926721062, 0.943668829957953, 0.9436567078359448, 0.943660895464465, 0.9436669399500055, 0.9436691582552221, 0.9436566187366813, 0.9436372439697345, 0.9436267426997416, 0.9436304231398296, 0.9436312009193675, 0.9436275866993233, 0.9436098289765729, 0.9436073328646305, 0.9436078868763351, 0.9435952573054487, 0.9435774128133094, 0.9435506194460476, 0.9435492192860007, 0.9435552461004497, 0.9435612729148988, 0.9435672997293478, 0.9435733265437969, 0.943579353358246, 0.9435853367877188, 0.9435739908515111, 0.9435534437572375, 0.9435149247570119, 0.9434910960145599, 0.9434955340072524, 0.9435019000616337, 0.9435082661160149, 0.9435146321703962, 0.9435204420209405, 0.9435098817383767, 0.9435031997949124, 0.9434893026878174, 0.9434929578810852, 0.9434993244824645, 0.9434918297666924, 0.943467308277029, 0.9434471774314082, 0.9434290709741394, 0.94341859615237, 0.9434247090528001, 0.9434261259718163, 0.9434128004055677, 0.9433906680585609, 0.943374503691705, 0.9433678776403085, 0.9433560322970371, 0.943354219720566, 0.9433515564589596, 0.9433453342755309, 0.943317932206198, 0.9433049878213609, 0.9433094922256087, 0.9433156735018927, 0.943311853876161, 0.943305870628216, 0.9432992136526559, 0.9432884290957697, 0.9432864338864486, 0.9432928154573199, 0.9432991970281912, 0.9433055785990625, 0.9433119601699336, 0.9433183417408049, 0.9433247233116762, 0.9433311048825475, 0.9433374864534187, 0.94334386802429, 0.9433502495951612, 0.9433566311660325, 0.9433630127369037, 0.9433693939435069, 0.9433757193494766, 0.9433727826122764, 0.943366860598908, 0.9433515303311072, 0.9433338938309647, 0.9433378405346744, 0.9433424079430677, 0.9433467210807507, 0.9433494953641022, 0.943335524918054, 0.943305410042525, 0.9432790998142789, 0.9432623390391008, 0.9432687079426542, 0.9432750768462075, 0.9432798956418165, 0.9432740272851414, 0.9432565367798182, 0.9432524121373942, 0.9432456335915049, 0.9432371064880188, 0.9432340337959708, 0.9432264006185441, 0.9432188749948754, 0.943224681276148, 0.9432304875574207, 0.9432362938386932, 0.9432402886427407, 0.9432269179475208, 0.9432020740635172, 0.94317649989618, 0.9431680113518655, 0.9431730709708873, 0.9431789345261983, 0.9431847980815093, 0.9431906616368203, 0.9431870610376413, 0.9431630521555322, 0.9431487829146161, 0.9431452799003168, 0.9431285182302254, 0.9431093264533124, 0.9431006718735163, 0.943091595827868, 0.9430652018721031, 0.9430509815453958, 0.9430360182075057, 0.943027400679958, 0.9430097259256949, 0.9429993038876754, 0.943002471306082, 0.9429981990218141, 0.9429750282952665, 0.9429327354809909, 0.9428938630471742, 0.9428744027540878, 0.9428726869790922, 0.9428691489126451, 0.9428581020638894, 0.9428440731689349, 0.9428281304631454, 0.9428110819315803, 0.9428033382539065, 0.9428036836121494, 0.9428032154589236, 0.9427892311063131, 0.9427613538440698, 0.942726764106739, 0.9427112134678761, 0.9427175982881388, 0.9427239831084018, 0.9427303679286645, 0.9427367527489274, 0.9427218037695204, 0.9426875507795518, 0.9426451688350179, 0.942618656159515, 0.9426153947123252, 0.9426206995892417, 0.9426146151237234, 0.9425911154998624, 0.9425496668677334, 0.9425270443372455, 0.9425187032331606, 0.9425250986737768, 0.9425313689798913, 0.9425290561141344, 0.9424989354530839, 0.9424484652689298, 0.9424246404778738, 0.9424265397599896, 0.9424305663699766, 0.9424212405991993, 0.9424010240682006, 0.9423799991769459, 0.9423656323340395, 0.9423646350533116, 0.9423682707349008, 0.9423637916124161, 0.9423544547570625, 0.9423431946805152, 0.94232920218284, 0.9423121379077988, 0.9422946712094636, 0.9422919123633406, 0.9422973907238628, 0.9422897612347687, 0.942275125799251, 0.942249469172949, 0.9422156534434738, 0.9421956215956161, 0.9421981981412875, 0.9422024227477983, 0.9421890470925309, 0.9421654993044006, 0.9421294829470377, 0.9421055047110085, 0.9420734802074381, 0.9420601027166706, 0.9420519132414801, 0.942041452005888, 0.9420307357120772, 0.9420209075405291, 0.9420184828336455, 0.9420094229819891, 0.9419822518783881, 0.9419553751366125, 0.9419190029452296, 0.9419055539953962, 0.9419116480500012, 0.9419177421046061, 0.9419238361592113, 0.9419299302138162, 0.9419309550657482, 0.9419104215551468, 0.9418863395801209, 0.9418382413455157, 0.9418195318819791, 0.9418217146417811, 0.9418261408940883, 0.9418199475769284, 0.9418089121557169, 0.9417869699337613, 0.9417749989285761, 0.9417630604709147, 0.9417509664703565, 0.9417172819475941, 0.9416827519953916, 0.9416641368421995, 0.9416430002279659, 0.9416300193894562, 0.9416113538590456, 0.9415828881544885, 0.941570903986, 0.9415458121385709, 0.9415304035640273, 0.9415204564450512, 0.9414986943289628, 0.9414869881491097, 0.9414591937141461, 0.9414577136460984, 0.9414395576301156, 0.9414182419206272, 0.9413800299202113, 0.9413634160753361, 0.9413398448452803, 0.9413172526367449, 0.9413122168276224, 0.941267896715048, 0.9412463111215187, 0.9412285725731417, 0.9412020347386387, 0.9411707651183823, 0.9411566144371362, 0.9411111039012099, 0.9411008663023899, 0.9410924489113817, 0.9410650753467549, 0.9410580822561856, 0.9410402577606172, 0.9410123433431168, 0.9410021736116068, 0.9409875677476429, 0.9409717304294019, 0.9409699746388154, 0.9409487520661854, 0.9409197636606454, 0.9408790276565957, 0.9408677614477554, 0.9408618132005981, 0.9408222808808266, 0.9407881258566592, 0.9407754830906112, 0.9407564432614156, 0.9407292845309497, 0.9406908277622049, 0.9406933018074791, 0.940677726338617, 0.9406441236058611, 0.9405875070533893, 0.9405595351885577, 0.9405339074225745, 0.9405203150477855, 0.9404971718257862, 0.940471404808024, 0.9404483854038943, 0.9404249637269324, 0.9404148837266454, 0.9403955878120978, 0.9403821338826241, 0.9403466651645263, 0.9403210377917273, 0.9403070094919888, 0.9402907715275699, 0.9402640522760938, 0.9402579848839625, 0.9402222608386648, 0.940214436901313, 0.9402021681573326, 0.9401809875151403, 0.9401538540653405, 0.9401242998586924, 0.9401072098341794, 0.9400717157016071, 0.9400479212888034, 0.9400429029202382, 0.9400361042579726, 0.9400128807333716, 0.9399586773591673, 0.9399422993440996, 0.9399113991498531, 0.9398737508640713, 0.9398556105674982, 0.9398367762882829, 0.939785002459976, 0.9397678437737822, 0.9397567724316629, 0.9397277590767761, 0.9397092808142251, 0.9397121731410669, 0.9396858716732561, 0.9396706819583378, 0.9396402332259198, 0.9396143245336549, 0.9395764387185839, 0.9395527636719152, 0.9395455076946735, 0.9395301161248176, 0.9395154241884819, 0.9395057766900765, 0.9394952088406874, 0.9394743477143985, 0.9394722786888063, 0.9394591631285838, 0.9394448144498508, 0.9394336769507761, 0.9394079119576253, 0.9393831469052317, 0.9393663029518495, 0.9393369840639274, 0.9393012836741882, 0.9392725800126971, 0.9392537985920071, 0.9392296178632165, 0.9391946733985643, 0.9391652850847698, 0.9391448012072485, 0.9391070240980011, 0.9390752828256897, 0.9390598105423309, 0.9390395261632317, 0.9390141449993046, 0.9389887328261096, 0.9389471127473941, 0.9389298312964469, 0.9389075556803956, 0.9388948359075726, 0.9388932157893223, 0.9388667589062778, 0.9388589544161712, 0.9388611102098563, 0.9388655298898845, 0.9388519854057823, 0.9388341632852621, 0.9388069716282128, 0.9387959442614213, 0.9387837597900452, 0.9387478316649891, 0.9387371060141141, 0.9387349759080564, 0.9387210576764313, 0.9386975907577657, 0.9386524735318285, 0.9386127770166672, 0.938587293251133, 0.938543383157435, 0.9385029248520798, 0.9384822745754409, 0.9384660503165845, 0.9384346516093172, 0.9384243243255321, 0.9383798463356539, 0.9383757555499264, 0.938350855812951, 0.9383025467733026, 0.9382685481317647, 0.9382366714631023, 0.938210478545245, 0.9381958030378784, 0.9381826482000541, 0.9381694360145691, 0.9381437127735948, 0.9381054896556141, 0.9380844945075144, 0.9380553971980345, 0.9380199600596585, 0.9379738232301342, 0.9379284884028821, 0.937890921730224, 0.9378862227042951, 0.9378850643811758, 0.9378185625543856, 0.9377866907445274, 0.9377594118395118, 0.9377292737609866, 0.9376976813022555, 0.937656467986071, 0.937637333155846, 0.9375820997332325, 0.9375598423158052, 0.9375369698786267, 0.9375164799485687, 0.9374836994501781, 0.9374695120385717, 0.9374394470029087, 0.9373984203577879, 0.9373529500608155, 0.937329352240563, 0.9372896860258658, 0.9372611679383007, 0.9372381517388696, 0.9372187228892954, 0.9371930202449282, 0.9371789277305953, 0.9371620395286299, 0.9371296132214509, 0.9370853415798586, 0.937060903932887, 0.9370178387553127, 0.9369696712597878, 0.9369269499310838, 0.9369094244179536, 0.9368716931380485, 0.9368722195899508, 0.9368473360671773, 0.9368205876850754, 0.9368054202367956, 0.9367747977225864, 0.9367271072203397, 0.9366713896905525, 0.9366278365581119, 0.9365900552431329, 0.9365589057669064, 0.9365218724803177, 0.936486137143574, 0.9364466481290685, 0.9363990467005087, 0.9363545538158323, 0.9363345769964091, 0.9362976689267439, 0.9362648694644944, 0.9362228944784822, 0.9361809602762461, 0.936122739167527, 0.9360962176719805, 0.9360495563089994, 0.9360242263547627, 0.9359810081709565, 0.9359431091922034, 0.9358848401059826, 0.9358662211336528, 0.935826580959856, 0.9357893654057179, 0.9357623831494324, 0.935747114823203, 0.9356963514350611, 0.935650157714288, 0.9356095800819133, 0.9355898322334125, 0.9355497749871584, 0.9355062446442024, 0.9354718499677444, 0.935439101175241, 0.9354160511710168, 0.9353785270092589, 0.9353372762461865, 0.9353029791979498, 0.9352541595908095, 0.9352086204253591, 0.9351747532126746, 0.9351362008922743, 0.9350980808016456, 0.9350593554835319, 0.9350135958377829, 0.9349665853351439, 0.9349280270942506, 0.9349002365419161, 0.9348630427268132, 0.9348209480388792, 0.9347865495113026, 0.9347398027807572, 0.9346933270940949, 0.9346398200828023, 0.9345939106985559, 0.9345551745865517, 0.934525235969, 0.9344991760681216, 0.9344711198823681, 0.9344133292581865, 0.9343509850267455, 0.9342907095394548, 0.9342514175367209, 0.9342166911107248, 0.9341654262927892, 0.934124636365812, 0.9340652548830597, 0.9340203947535228, 0.9339885743193945, 0.9339479022654684, 0.9338941988192079, 0.9338434238849129, 0.9337985862370708, 0.9337631608171195, 0.9337170346756918, 0.933671970835511, 0.9336270099443169, 0.9335941427477155, 0.9335283590100574, 0.93347237507674, 0.9334230823441102, 0.9333867979936266, 0.9333433790648201, 0.9332923563212475, 0.9332558784043502, 0.9332065965424838, 0.9331525528095708, 0.9331141177902793, 0.9330842083657724, 0.933031964240177, 0.9329761278979765, 0.932925829111104, 0.9328879548610176, 0.9328273361373125, 0.9327623732504472, 0.9326984598557717, 0.9326450456067515, 0.9325896149043018, 0.932547627004822, 0.9324871253732457, 0.9324379942351075, 0.9323768685714647, 0.9323454128868518, 0.9322908415923021, 0.9322546419684319, 0.932222100260107, 0.9321796324995564, 0.9321362473162027, 0.9320889129799229, 0.9320320875081277, 0.9319662772768247, 0.9319260921530095, 0.9318602428812055, 0.9318162238446726, 0.931759212756935, 0.9317091506583781, 0.9316500166136947, 0.9316016077327371, 0.931534350775377, 0.9314688065941137, 0.9314253508401076, 0.9313580412851463, 0.9313151265725894, 0.9312462374175106, 0.9312039080367878, 0.9311520810337726, 0.9311017354306845, 0.9310380841714889, 0.930984262312728, 0.9309114512606549, 0.930857400756396, 0.9307930448754884, 0.9307235552312592, 0.9306751786816039, 0.9306031101245373, 0.9305534096307471, 0.9304776058675924, 0.9304215982279744, 0.9303796150898902, 0.9303162237059699, 0.9302696031486494, 0.9302059243607967, 0.9301615313544783, 0.9301082224660846, 0.9300488358910934, 0.9299869205752831, 0.9299118220817457, 0.9298505829392014, 0.9297844927931644, 0.9297174903777388, 0.9296477683527091, 0.9295982679661028, 0.9295242978767553, 0.929462693218591, 0.9293995932164449, 0.9293448654667562, 0.9292843684439787, 0.9292148814866271, 0.9291387798303564, 0.92907359485425, 0.9290172948224273, 0.9289515798809482, 0.9288882962311014, 0.9288114904299881, 0.9287546397635209, 0.9286830302976655, 0.9286283157199142, 0.9285723445917449, 0.9285053832631506, 0.9284664399327135, 0.9284311408062993, 0.928369176724758, 0.9282941752917462, 0.9282325672269975, 0.9281637898839756, 0.9280841334563985, 0.9280070171513028, 0.9279464289327422, 0.9278812736654721, 0.9278095233730795, 0.9277317359637136, 0.9276565342440378, 0.9275842647988563, 0.9275090467458668, 0.9274145458151671, 0.9273296446301336, 0.9272605220973447, 0.9271818956600564, 0.9271095464723483, 0.9270450830867327, 0.9269781314366301, 0.9269033615255069, 0.926820612065467, 0.9267444075735676, 0.9266770913863009, 0.9266015034241629, 0.9265171554896177, 0.926432712002918, 0.9263568766345851, 0.9263121826892122, 0.9262579074387844, 0.9261692714272994, 0.9260915155986449, 0.925999363621117, 0.9259062795223286, 0.925824803721339, 0.9257659987137736, 0.9256962365698331, 0.9256139271456019, 0.9255302726743835, 0.9254453910268998, 0.9253590930540142, 0.9252686678265043, 0.9251855528473525, 0.9250825638480047, 0.924994139842533, 0.9249163353341284, 0.9248513192614904, 0.9247952644529791, 0.924731734999421, 0.9246483218052722, 0.9245539803091014, 0.9244447182007945, 0.9243398078213296, 0.9242590858617274, 0.9241572893604522, 0.9240486789791406, 0.923962698919043, 0.9238762970724093, 0.9237743689977441, 0.9236669283485499, 0.9235727927448796, 0.9234927763074843, 0.923386821733931, 0.9232716102080202, 0.9231958810737717, 0.9231036656209467, 0.9230198992121593, 0.9229340999945346, 0.9228287402117936, 0.9227294253501066, 0.9226227677251642, 0.9225116040290688, 0.9224041134446842, 0.9223048213355702, 0.922215779879419, 0.9221240797842496, 0.9220432677029129, 0.9219655813851284, 0.9218679062888988, 0.9217564468812283, 0.9216424747486098, 0.9215406283097862, 0.9214266928056032, 0.9212753074845277, 0.9211574522007002, 0.9210609283580242, 0.9209597392242455, 0.9208765008238929, 0.9207518880013329, 0.9206347521888172, 0.9205223810609919, 0.9204038457628139, 0.9202796337072872, 0.9201745843393441, 0.9200786291519226, 0.9199640745987345, 0.9198618166262509, 0.9197495644885213, 0.9196209005743408, 0.9194851049282149, 0.9193694490251305, 0.9192534646798917, 0.919135680206605, 0.9189974704471005, 0.9189005038016427, 0.9187913433486037, 0.9186684625442236, 0.918557643099541, 0.918461651471224, 0.9183464048761122, 0.9182116956756827, 0.9180663997151963, 0.9179480675623974, 0.9178357841405074, 0.9177044560867038, 0.9175823463662081, 0.9174790616783634, 0.9173713966891397, 0.9172205768206781, 0.9171013956360012, 0.9169489652710077, 0.9168032033079714, 0.9166415257427796, 0.9164764722105763, 0.9163407902789061, 0.9161958125654273, 0.91606782467493, 0.9159562605663418, 0.9158617059237664, 0.9157221667719768, 0.9155671129959599, 0.9154577292317146, 0.9153157333394646, 0.9151782521579166, 0.9150364971360094, 0.9148631478016725, 0.914711940251988, 0.9145700799806945, 0.9144589928698423, 0.9142816018653241, 0.914125002049476, 0.9139831468043632, 0.9138265850997898, 0.9137044351620416, 0.9135318201389406, 0.9134366350832259, 0.9133181565078593, 0.9131776338880717, 0.9130450166104207, 0.9128786384859432, 0.9127017921456, 0.9125376641214713, 0.9124176923350347, 0.9122297267114643, 0.9120912173960146, 0.9119205011896171, 0.9118344106692148, 0.9117221834548952, 0.9115396107064238, 0.9113566171655316, 0.9111935038588432, 0.9112516065493946, 0.91112128810965, 0.911031395217222, 0.910906514134311, 0.910802281564719, 0.9106894909359263, 0.9105732688984671, 0.910423659964702, 0.9102203961425399, 0.9100183853980549, 0.9098387979034328, 0.9096513296659416, 0.9094932378579751, 0.9093018185405135, 0.909101696808548, 0.9088458013271554, 0.9086649423592141, 0.9083950551008546, 0.90816301979849, 0.907900478849909, 0.9076818381979725, 0.9075271310437971, 0.907286627014271, 0.9071101201734294, 0.9068596936085112, 0.9064979411046528, 0.9056070068976501, 0.905132056260434, 0.9048474766616587, 0.9045991284377043, 0.9043096380247946, 0.9040545704184834, 0.9036922953073611, 0.9028135243153831, 0.9001020123251888, 0.8992643913396268, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}, {\\\"fill\\\": \\\"tonexty\\\", \\\"fillcolor\\\": \\\"rgba(0, 200, 0, 0.2)\\\", \\\"hoverinfo\\\": \\\"skip\\\", \\\"line\\\": {\\\"color\\\": \\\"rgba(0, 200, 0, 1)\\\", \\\"width\\\": 0.0}, \\\"name\\\": \\\"Blast/CNN-ensemble\\\", \\\"showlegend\\\": false, \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.5, 0.5001, 0.5002, 0.5003, 0.5004, 0.5005, 0.5006, 0.5007, 0.5008, 0.5009, 0.501, 0.5011, 0.5012, 0.5013, 0.5014, 0.5015, 0.5016, 0.5017, 0.5018, 0.5019, 0.502, 0.5021, 0.5022, 0.5023, 0.5024, 0.5025, 0.5026, 0.5027, 0.5028, 0.5029, 0.503, 0.5031, 0.5032, 0.5033, 0.5034, 0.5035, 0.5036, 0.5037, 0.5038, 0.5039, 0.504, 0.5041, 0.5042, 0.5043, 0.5044, 0.5045, 0.5046, 0.5047, 0.5048, 0.5049, 0.505, 0.5051, 0.5052, 0.5053, 0.5054, 0.5055, 0.5056, 0.5057, 0.5058, 0.5059, 0.506, 0.5061, 0.5062, 0.5063, 0.5064, 0.5065, 0.5066, 0.5067, 0.5068, 0.5069, 0.507, 0.5071, 0.5072, 0.5073, 0.5074, 0.5075, 0.5076, 0.5077, 0.5078, 0.5079, 0.508, 0.5081, 0.5082, 0.5083, 0.5084, 0.5085, 0.5086, 0.5087, 0.5088, 0.5089, 0.509, 0.5091, 0.5092, 0.5093, 0.5094, 0.5095, 0.5096, 0.5097, 0.5098, 0.5099, 0.51, 0.5101, 0.5102, 0.5103, 0.5104, 0.5105, 0.5106, 0.5107, 0.5108, 0.5109, 0.511, 0.5111, 0.5112, 0.5113, 0.5114, 0.5115, 0.5116, 0.5117, 0.5118, 0.5119, 0.512, 0.5121, 0.5122, 0.5123, 0.5124, 0.5125, 0.5126, 0.5127, 0.5128, 0.5129, 0.513, 0.5131, 0.5132, 0.5133, 0.5134, 0.5135, 0.5136000000000001, 0.5137, 0.5138, 0.5139, 0.514, 0.5141, 0.5142, 0.5143, 0.5144, 0.5145, 0.5146, 0.5147, 0.5148, 0.5149, 0.515, 0.5151, 0.5152, 0.5153, 0.5154, 0.5155, 0.5156, 0.5157, 0.5158, 0.5159, 0.516, 0.5161, 0.5162, 0.5163, 0.5164, 0.5165, 0.5166, 0.5167, 0.5168, 0.5169, 0.517, 0.5171, 0.5172, 0.5173, 0.5174, 0.5175, 0.5176, 0.5177, 0.5178, 0.5179, 0.518, 0.5181, 0.5182, 0.5183, 0.5184, 0.5185, 0.5186, 0.5187, 0.5188, 0.5189, 0.519, 0.5191, 0.5192, 0.5193, 0.5194, 0.5195, 0.5196, 0.5197, 0.5198, 0.5199, 0.52, 0.5201, 0.5202, 0.5203, 0.5204, 0.5205, 0.5206, 0.5207, 0.5208, 0.5209, 0.521, 0.5211, 0.5212, 0.5213, 0.5214, 0.5215, 0.5216, 0.5217, 0.5218, 0.5219, 0.522, 0.5221, 0.5222, 0.5223, 0.5224, 0.5225, 0.5226, 0.5227, 0.5228, 0.5229, 0.523, 0.5231, 0.5232, 0.5233, 0.5234, 0.5235, 0.5236, 0.5237, 0.5238, 0.5239, 0.524, 0.5241, 0.5242, 0.5243, 0.5244, 0.5245, 0.5246, 0.5246999999999999, 0.5248, 0.5249, 0.525, 0.5251, 0.5252, 0.5253, 0.5254, 0.5255, 0.5256, 0.5257000000000001, 0.5258, 0.5259, 0.526, 0.5261, 0.5262, 0.5263, 0.5264, 0.5265, 0.5266, 0.5267, 0.5268, 0.5269, 0.527, 0.5271, 0.5272, 0.5273, 0.5274, 0.5275, 0.5276, 0.5277000000000001, 0.5278, 0.5279, 0.528, 0.5281, 0.5282, 0.5283, 0.5284, 0.5285, 0.5286, 0.5287, 0.5288, 0.5289, 0.529, 0.5291, 0.5292, 0.5293, 0.5294, 0.5295, 0.5296, 0.5297, 0.5298, 0.5299, 0.53, 0.5301, 0.5302, 0.5303, 0.5304, 0.5305, 0.5306, 0.5307, 0.5308, 0.5309, 0.531, 0.5311, 0.5312, 0.5313, 0.5314, 0.5315, 0.5316, 0.5317, 0.5318, 0.5319, 0.532, 0.5321, 0.5322, 0.5323, 0.5324, 0.5325, 0.5326, 0.5327, 0.5328, 0.5329, 0.533, 0.5331, 0.5332, 0.5333, 0.5334, 0.5335, 0.5336, 0.5337, 0.5338, 0.5339, 0.534, 0.5341, 0.5342, 0.5343, 0.5344, 0.5345, 0.5346, 0.5347, 0.5348, 0.5349, 0.535, 0.5351, 0.5352, 0.5353, 0.5354, 0.5355, 0.5356, 0.5357, 0.5358, 0.5359, 0.536, 0.5361, 0.5362, 0.5363, 0.5364, 0.5365, 0.5366, 0.5367, 0.5367999999999999, 0.5369, 0.537, 0.5371, 0.5372, 0.5373, 0.5374, 0.5375, 0.5376, 0.5377, 0.5378000000000001, 0.5379, 0.538, 0.5381, 0.5382, 0.5383, 0.5384, 0.5385, 0.5386, 0.5387, 0.5388, 0.5389, 0.539, 0.5391, 0.5392, 0.5393, 0.5394, 0.5395, 0.5396, 0.5397, 0.5398000000000001, 0.5399, 0.54, 0.5401, 0.5402, 0.5403, 0.5404, 0.5405, 0.5406, 0.5407, 0.5408, 0.5409, 0.541, 0.5411, 0.5412, 0.5413, 0.5414, 0.5415, 0.5416, 0.5417, 0.5418000000000001, 0.5419, 0.542, 0.5421, 0.5422, 0.5423, 0.5424, 0.5425, 0.5426, 0.5427, 0.5428, 0.5429, 0.543, 0.5431, 0.5432, 0.5433, 0.5434, 0.5435, 0.5436, 0.5437, 0.5438, 0.5439, 0.544, 0.5441, 0.5442, 0.5443, 0.5444, 0.5445, 0.5446, 0.5447, 0.5448, 0.5449, 0.545, 0.5451, 0.5452, 0.5453, 0.5454, 0.5455, 0.5456, 0.5457, 0.5458, 0.5459, 0.546, 0.5461, 0.5462, 0.5463, 0.5464, 0.5465, 0.5466, 0.5467, 0.5468, 0.5469, 0.547, 0.5471, 0.5472, 0.5473, 0.5474, 0.5475, 0.5476, 0.5477, 0.5478, 0.5479, 0.548, 0.5481, 0.5482, 0.5483, 0.5484, 0.5485, 0.5486, 0.5487, 0.5488, 0.5488999999999999, 0.549, 0.5491, 0.5492, 0.5493, 0.5494, 0.5495, 0.5496, 0.5497, 0.5498, 0.5499, 0.55, 0.5501, 0.5502, 0.5503, 0.5504, 0.5505, 0.5506, 0.5507, 0.5508, 0.5509, 0.551, 0.5511, 0.5512, 0.5513, 0.5514, 0.5515, 0.5516, 0.5517, 0.5518, 0.5519000000000001, 0.552, 0.5521, 0.5522, 0.5523, 0.5524, 0.5525, 0.5526, 0.5527, 0.5528, 0.5529, 0.553, 0.5531, 0.5532, 0.5533, 0.5534, 0.5535, 0.5536, 0.5537, 0.5538, 0.5539000000000001, 0.554, 0.5541, 0.5542, 0.5543, 0.5544, 0.5545, 0.5546, 0.5547, 0.5548, 0.5549, 0.555, 0.5551, 0.5552, 0.5553, 0.5554, 0.5555, 0.5556, 0.5557, 0.5558, 0.5559000000000001, 0.556, 0.5561, 0.5562, 0.5563, 0.5564, 0.5565, 0.5566, 0.5567, 0.5568, 0.5569, 0.557, 0.5571, 0.5572, 0.5573, 0.5574, 0.5575, 0.5576, 0.5577, 0.5578, 0.5579, 0.558, 0.5581, 0.5582, 0.5583, 0.5584, 0.5585, 0.5586, 0.5587, 0.5588, 0.5589, 0.559, 0.5591, 0.5592, 0.5593, 0.5594, 0.5595, 0.5596, 0.5597, 0.5598, 0.5599, 0.56, 0.5601, 0.5602, 0.5603, 0.5604, 0.5605, 0.5606, 0.5607, 0.5608, 0.5609, 0.561, 0.5611, 0.5612, 0.5613, 0.5614, 0.5615, 0.5616, 0.5617, 0.5618, 0.5619, 0.562, 0.5621, 0.5622, 0.5623, 0.5624, 0.5625, 0.5626, 0.5627, 0.5628, 0.5629, 0.563, 0.5631, 0.5632, 0.5633, 0.5634, 0.5635, 0.5636, 0.5637, 0.5638, 0.5639, 0.5640000000000001, 0.5641, 0.5642, 0.5643, 0.5644, 0.5645, 0.5646, 0.5647, 0.5648, 0.5649, 0.565, 0.5651, 0.5652, 0.5653, 0.5654, 0.5655, 0.5656, 0.5657, 0.5658, 0.5659, 0.5660000000000001, 0.5661, 0.5662, 0.5663, 0.5664, 0.5665, 0.5666, 0.5667, 0.5668, 0.5669, 0.567, 0.5671, 0.5672, 0.5673, 0.5674, 0.5675, 0.5676, 0.5677, 0.5678, 0.5679, 0.5680000000000001, 0.5681, 0.5682, 0.5683, 0.5684, 0.5685, 0.5686, 0.5687, 0.5688, 0.5689, 0.569, 0.5691, 0.5692, 0.5693, 0.5694, 0.5695, 0.5696, 0.5697, 0.5698, 0.5699, 0.5700000000000001, 0.5701, 0.5702, 0.5703, 0.5704, 0.5705, 0.5706, 0.5707, 0.5708, 0.5709, 0.571, 0.5710999999999999, 0.5712, 0.5713, 0.5714, 0.5715, 0.5716, 0.5717, 0.5718, 0.5719, 0.5720000000000001, 0.5721, 0.5722, 0.5723, 0.5724, 0.5725, 0.5726, 0.5727, 0.5728, 0.5729, 0.573, 0.5730999999999999, 0.5732, 0.5733, 0.5734, 0.5735, 0.5736, 0.5737, 0.5738, 0.5739, 0.5740000000000001, 0.5741, 0.5742, 0.5743, 0.5744, 0.5745, 0.5746, 0.5747, 0.5748, 0.5749, 0.575, 0.5751, 0.5752, 0.5753, 0.5754, 0.5755, 0.5756, 0.5757, 0.5758, 0.5759, 0.576, 0.5761000000000001, 0.5762, 0.5763, 0.5764, 0.5765, 0.5766, 0.5767, 0.5768, 0.5769, 0.577, 0.5771, 0.5772, 0.5773, 0.5774, 0.5775, 0.5776, 0.5777, 0.5778, 0.5779, 0.578, 0.5781000000000001, 0.5782, 0.5783, 0.5784, 0.5785, 0.5786, 0.5787, 0.5788, 0.5789, 0.579, 0.5791, 0.5792, 0.5793, 0.5794, 0.5795, 0.5796, 0.5797, 0.5798, 0.5799, 0.58, 0.5801000000000001, 0.5802, 0.5803, 0.5804, 0.5805, 0.5806, 0.5807, 0.5808, 0.5809, 0.581, 0.5811, 0.5812, 0.5813, 0.5814, 0.5815, 0.5816, 0.5817, 0.5818, 0.5819, 0.582, 0.5821000000000001, 0.5822, 0.5823, 0.5824, 0.5825, 0.5826, 0.5827, 0.5828, 0.5829, 0.583, 0.5831, 0.5832, 0.5833, 0.5834, 0.5835, 0.5836, 0.5837, 0.5838, 0.5839, 0.584, 0.5841000000000001, 0.5842, 0.5843, 0.5844, 0.5845, 0.5846, 0.5847, 0.5848, 0.5849, 0.585, 0.5851, 0.5851999999999999, 0.5853, 0.5854, 0.5855, 0.5856, 0.5857, 0.5858, 0.5859, 0.586, 0.5861000000000001, 0.5862, 0.5863, 0.5864, 0.5865, 0.5866, 0.5867, 0.5868, 0.5869, 0.587, 0.5871, 0.5871999999999999, 0.5873, 0.5874, 0.5875, 0.5876, 0.5877, 0.5878, 0.5879, 0.588, 0.5881, 0.5882000000000001, 0.5883, 0.5884, 0.5885, 0.5886, 0.5887, 0.5888, 0.5889, 0.589, 0.5891, 0.5892, 0.5893, 0.5894, 0.5895, 0.5896, 0.5897, 0.5898, 0.5899, 0.59, 0.5901, 0.5902000000000001, 0.5903, 0.5904, 0.5905, 0.5906, 0.5907, 0.5908, 0.5909, 0.591, 0.5911, 0.5912, 0.5913, 0.5914, 0.5915, 0.5916, 0.5917, 0.5918, 0.5919, 0.592, 0.5921, 0.5922000000000001, 0.5923, 0.5924, 0.5925, 0.5926, 0.5927, 0.5928, 0.5929, 0.593, 0.5931, 0.5932, 0.5933, 0.5934, 0.5935, 0.5936, 0.5937, 0.5938, 0.5939, 0.594, 0.5941, 0.5942000000000001, 0.5943, 0.5944, 0.5945, 0.5946, 0.5947, 0.5948, 0.5949, 0.595, 0.5951, 0.5952, 0.5953, 0.5954, 0.5955, 0.5956, 0.5957, 0.5958, 0.5959, 0.596, 0.5961, 0.5962000000000001, 0.5963, 0.5964, 0.5965, 0.5966, 0.5967, 0.5968, 0.5969, 0.597, 0.5971, 0.5972, 0.5973, 0.5974, 0.5975, 0.5976, 0.5977, 0.5978, 0.5979, 0.598, 0.5981, 0.5982000000000001, 0.5983, 0.5984, 0.5985, 0.5986, 0.5987, 0.5988, 0.5989, 0.599, 0.5991, 0.5992, 0.5992999999999999, 0.5994, 0.5995, 0.5996, 0.5997, 0.5998, 0.5999, 0.6, 0.6001, 0.6002000000000001, 0.6003000000000001, 0.6004, 0.6005, 0.6006, 0.6007, 0.6008, 0.6009, 0.601, 0.6011, 0.6012, 0.6013, 0.6014, 0.6015, 0.6016, 0.6017, 0.6018, 0.6019, 0.602, 0.6021, 0.6022, 0.6023000000000001, 0.6024, 0.6025, 0.6026, 0.6027, 0.6028, 0.6029, 0.603, 0.6031, 0.6032, 0.6033, 0.6034, 0.6035, 0.6036, 0.6037, 0.6038, 0.6039, 0.604, 0.6041, 0.6042, 0.6043000000000001, 0.6044, 0.6045, 0.6046, 0.6047, 0.6048, 0.6049, 0.605, 0.6051, 0.6052, 0.6053, 0.6054, 0.6055, 0.6056, 0.6057, 0.6058, 0.6059, 0.606, 0.6061, 0.6062, 0.6063000000000001, 0.6064, 0.6065, 0.6066, 0.6067, 0.6068, 0.6069, 0.607, 0.6071, 0.6072, 0.6073, 0.6074, 0.6075, 0.6076, 0.6077, 0.6078, 0.6079, 0.608, 0.6081, 0.6082, 0.6083000000000001, 0.6084, 0.6085, 0.6086, 0.6087, 0.6088, 0.6089, 0.609, 0.6091, 0.6092, 0.6093, 0.6094, 0.6095, 0.6096, 0.6097, 0.6098, 0.6099, 0.61, 0.6101, 0.6102, 0.6103000000000001, 0.6104, 0.6105, 0.6106, 0.6107, 0.6108, 0.6109, 0.611, 0.6111, 0.6112, 0.6113, 0.6113999999999999, 0.6115, 0.6116, 0.6117, 0.6118, 0.6119, 0.612, 0.6121, 0.6122, 0.6123000000000001, 0.6124, 0.6125, 0.6126, 0.6127, 0.6128, 0.6129, 0.613, 0.6131, 0.6132, 0.6133, 0.6134, 0.6135, 0.6136, 0.6137, 0.6138, 0.6139, 0.614, 0.6141, 0.6142, 0.6143, 0.6144000000000001, 0.6145, 0.6146, 0.6147, 0.6148, 0.6149, 0.615, 0.6151, 0.6152, 0.6153, 0.6154, 0.6155, 0.6156, 0.6157, 0.6158, 0.6159, 0.616, 0.6161, 0.6162, 0.6163, 0.6164000000000001, 0.6165, 0.6166, 0.6167, 0.6168, 0.6169, 0.617, 0.6171, 0.6172, 0.6173, 0.6174, 0.6175, 0.6176, 0.6177, 0.6178, 0.6179, 0.618, 0.6181, 0.6182, 0.6183, 0.6184000000000001, 0.6185, 0.6186, 0.6187, 0.6188, 0.6189, 0.619, 0.6191, 0.6192, 0.6193, 0.6194, 0.6195, 0.6196, 0.6197, 0.6198, 0.6199, 0.62, 0.6201, 0.6202, 0.6203, 0.6204000000000001, 0.6205, 0.6206, 0.6207, 0.6208, 0.6209, 0.621, 0.6211, 0.6212, 0.6213, 0.6214, 0.6215, 0.6216, 0.6217, 0.6218, 0.6219, 0.622, 0.6221, 0.6222, 0.6223, 0.6224000000000001, 0.6225, 0.6226, 0.6227, 0.6228, 0.6229, 0.623, 0.6231, 0.6232, 0.6233, 0.6234, 0.6235, 0.6236, 0.6237, 0.6238, 0.6239, 0.624, 0.6241, 0.6242, 0.6243, 0.6244000000000001, 0.6245, 0.6246, 0.6247, 0.6248, 0.6249, 0.625, 0.6251, 0.6252, 0.6253, 0.6254, 0.6255, 0.6256, 0.6257, 0.6258, 0.6259, 0.626, 0.6261, 0.6262, 0.6263, 0.6264000000000001, 0.6265000000000001, 0.6266, 0.6267, 0.6268, 0.6269, 0.627, 0.6271, 0.6272, 0.6273, 0.6274, 0.6275, 0.6276, 0.6277, 0.6278, 0.6279, 0.628, 0.6281, 0.6282, 0.6283, 0.6284000000000001, 0.6285000000000001, 0.6286, 0.6287, 0.6288, 0.6289, 0.629, 0.6291, 0.6292, 0.6293, 0.6294, 0.6295, 0.6295999999999999, 0.6297, 0.6298, 0.6299, 0.63, 0.6301, 0.6302, 0.6303, 0.6304000000000001, 0.6305000000000001, 0.6306, 0.6307, 0.6308, 0.6309, 0.631, 0.6311, 0.6312, 0.6313, 0.6314, 0.6315, 0.6315999999999999, 0.6317, 0.6318, 0.6319, 0.632, 0.6321, 0.6322, 0.6323, 0.6324000000000001, 0.6325000000000001, 0.6326, 0.6327, 0.6328, 0.6329, 0.633, 0.6331, 0.6332, 0.6333, 0.6334, 0.6335, 0.6335999999999999, 0.6337, 0.6338, 0.6339, 0.634, 0.6341, 0.6342, 0.6343, 0.6344000000000001, 0.6345000000000001, 0.6346, 0.6347, 0.6348, 0.6349, 0.635, 0.6351, 0.6352, 0.6353, 0.6354, 0.6355, 0.6355999999999999, 0.6357, 0.6358, 0.6359, 0.636, 0.6361, 0.6362, 0.6363, 0.6364, 0.6365000000000001, 0.6366, 0.6367, 0.6368, 0.6369, 0.637, 0.6371, 0.6372, 0.6373, 0.6374, 0.6375, 0.6376, 0.6377, 0.6378, 0.6379, 0.638, 0.6381, 0.6382, 0.6383, 0.6384, 0.6385000000000001, 0.6386000000000001, 0.6387, 0.6388, 0.6389, 0.639, 0.6391, 0.6392, 0.6393, 0.6394, 0.6395, 0.6396, 0.6397, 0.6398, 0.6399, 0.64, 0.6401, 0.6402, 0.6403, 0.6404, 0.6405000000000001, 0.6406000000000001, 0.6407, 0.6408, 0.6409, 0.641, 0.6411, 0.6412, 0.6413, 0.6414, 0.6415, 0.6416, 0.6417, 0.6418, 0.6419, 0.642, 0.6421, 0.6422, 0.6423, 0.6424, 0.6425000000000001, 0.6426000000000001, 0.6427, 0.6428, 0.6429, 0.643, 0.6431, 0.6432, 0.6433, 0.6434, 0.6435, 0.6436, 0.6436999999999999, 0.6438, 0.6439, 0.644, 0.6441, 0.6442, 0.6443, 0.6444, 0.6445000000000001, 0.6446000000000001, 0.6447, 0.6448, 0.6449, 0.645, 0.6451, 0.6452, 0.6453, 0.6454, 0.6455, 0.6456, 0.6456999999999999, 0.6458, 0.6459, 0.646, 0.6461, 0.6462, 0.6463, 0.6464, 0.6465000000000001, 0.6466000000000001, 0.6467, 0.6468, 0.6469, 0.647, 0.6471, 0.6472, 0.6473, 0.6474, 0.6475, 0.6476, 0.6476999999999999, 0.6478, 0.6479, 0.648, 0.6481, 0.6482, 0.6483, 0.6484, 0.6485000000000001, 0.6486000000000001, 0.6487, 0.6488, 0.6489, 0.649, 0.6491, 0.6492, 0.6493, 0.6494, 0.6495, 0.6496, 0.6496999999999999, 0.6498, 0.6499, 0.65, 0.6501, 0.6502, 0.6503, 0.6504, 0.6505, 0.6506000000000001, 0.6507000000000001, 0.6508, 0.6509, 0.651, 0.6511, 0.6512, 0.6513, 0.6514, 0.6515, 0.6516, 0.6517, 0.6518, 0.6519, 0.652, 0.6521, 0.6522, 0.6523, 0.6524, 0.6525, 0.6526000000000001, 0.6527000000000001, 0.6528, 0.6529, 0.653, 0.6531, 0.6532, 0.6533, 0.6534, 0.6535, 0.6536, 0.6537, 0.6538, 0.6539, 0.654, 0.6541, 0.6542, 0.6543, 0.6544, 0.6545, 0.6546000000000001, 0.6547000000000001, 0.6548, 0.6549, 0.655, 0.6551, 0.6552, 0.6553, 0.6554, 0.6555, 0.6556, 0.6557, 0.6557999999999999, 0.6559, 0.656, 0.6561, 0.6562, 0.6563, 0.6564, 0.6565, 0.6566000000000001, 0.6567000000000001, 0.6568, 0.6569, 0.657, 0.6571, 0.6572, 0.6573, 0.6574, 0.6575, 0.6576, 0.6577, 0.6577999999999999, 0.6579, 0.658, 0.6581, 0.6582, 0.6583, 0.6584, 0.6585, 0.6586000000000001, 0.6587000000000001, 0.6588, 0.6589, 0.659, 0.6591, 0.6592, 0.6593, 0.6594, 0.6595, 0.6596, 0.6597, 0.6597999999999999, 0.6599, 0.66, 0.6601, 0.6602, 0.6603, 0.6604, 0.6605, 0.6606000000000001, 0.6607000000000001, 0.6608, 0.6609, 0.661, 0.6611, 0.6612, 0.6613, 0.6614, 0.6615, 0.6616, 0.6617, 0.6617999999999999, 0.6619, 0.662, 0.6621, 0.6622, 0.6623, 0.6624, 0.6625, 0.6626, 0.6627000000000001, 0.6628000000000001, 0.6629, 0.663, 0.6631, 0.6632, 0.6633, 0.6634, 0.6635, 0.6636, 0.6637, 0.6638, 0.6639, 0.664, 0.6641, 0.6642, 0.6643, 0.6644, 0.6645, 0.6646, 0.6647000000000001, 0.6648000000000001, 0.6649, 0.665, 0.6651, 0.6652, 0.6653, 0.6654, 0.6655, 0.6656, 0.6657, 0.6658, 0.6659, 0.666, 0.6661, 0.6662, 0.6663, 0.6664, 0.6665, 0.6666, 0.6667000000000001, 0.6668000000000001, 0.6669, 0.667, 0.6671, 0.6672, 0.6673, 0.6674, 0.6675, 0.6676, 0.6677, 0.6678, 0.6679, 0.668, 0.6681, 0.6682, 0.6683, 0.6684, 0.6685, 0.6686, 0.6687000000000001, 0.6688000000000001, 0.6689, 0.669, 0.6691, 0.6692, 0.6693, 0.6694, 0.6695, 0.6696, 0.6697, 0.6698, 0.6698999999999999, 0.67, 0.6701, 0.6702, 0.6703, 0.6704, 0.6705, 0.6706, 0.6707000000000001, 0.6708000000000001, 0.6709, 0.671, 0.6711, 0.6712, 0.6713, 0.6714, 0.6715, 0.6716, 0.6717, 0.6718, 0.6718999999999999, 0.672, 0.6721, 0.6722, 0.6723, 0.6724, 0.6725, 0.6726, 0.6727000000000001, 0.6728000000000001, 0.6729, 0.673, 0.6731, 0.6732, 0.6733, 0.6734, 0.6735, 0.6736, 0.6737, 0.6738, 0.6738999999999999, 0.674, 0.6741, 0.6742, 0.6743, 0.6744, 0.6745, 0.6746, 0.6747000000000001, 0.6748000000000001, 0.6749, 0.675, 0.6751, 0.6752, 0.6753, 0.6754, 0.6755, 0.6756, 0.6757, 0.6758, 0.6759, 0.676, 0.6761, 0.6762, 0.6763, 0.6764, 0.6765, 0.6766, 0.6767, 0.6768000000000001, 0.6769000000000001, 0.677, 0.6771, 0.6772, 0.6773, 0.6774, 0.6775, 0.6776, 0.6777, 0.6778, 0.6779, 0.678, 0.6781, 0.6782, 0.6783, 0.6784, 0.6785, 0.6786, 0.6787, 0.6788000000000001, 0.6789000000000001, 0.679, 0.6791, 0.6792, 0.6793, 0.6794, 0.6795, 0.6796, 0.6797, 0.6798, 0.6799, 0.68, 0.6801, 0.6802, 0.6803, 0.6804, 0.6805, 0.6806, 0.6807, 0.6808000000000001, 0.6809000000000001, 0.681, 0.6811, 0.6812, 0.6813, 0.6814, 0.6815, 0.6816, 0.6817, 0.6818, 0.6819, 0.6819999999999999, 0.6821, 0.6822, 0.6823, 0.6824, 0.6825, 0.6826, 0.6827, 0.6828000000000001, 0.6829000000000001, 0.683, 0.6831, 0.6832, 0.6833, 0.6834, 0.6835, 0.6836, 0.6837, 0.6838, 0.6839, 0.6839999999999999, 0.6841, 0.6842, 0.6843, 0.6844, 0.6845, 0.6846, 0.6847, 0.6848000000000001, 0.6849000000000001, 0.685, 0.6851, 0.6852, 0.6853, 0.6854, 0.6855, 0.6856, 0.6857, 0.6858, 0.6859, 0.6859999999999999, 0.6861, 0.6862, 0.6863, 0.6864, 0.6865, 0.6866, 0.6867, 0.6868000000000001, 0.6869000000000001, 0.687, 0.6871, 0.6872, 0.6873, 0.6874, 0.6875, 0.6876, 0.6877, 0.6878, 0.6879, 0.688, 0.6881, 0.6882, 0.6883, 0.6884, 0.6885, 0.6886, 0.6887, 0.6888, 0.6889000000000001, 0.6890000000000001, 0.6891, 0.6892, 0.6893, 0.6894, 0.6895, 0.6896, 0.6897, 0.6898, 0.6899, 0.69, 0.6901, 0.6902, 0.6903, 0.6904, 0.6905, 0.6906, 0.6907, 0.6908, 0.6909000000000001, 0.6910000000000001, 0.6911, 0.6912, 0.6913, 0.6914, 0.6915, 0.6916, 0.6917, 0.6918, 0.6919, 0.692, 0.6921, 0.6922, 0.6923, 0.6924, 0.6925, 0.6926, 0.6927, 0.6928, 0.6929000000000001, 0.6930000000000001, 0.6931, 0.6932, 0.6933, 0.6934, 0.6935, 0.6936, 0.6937, 0.6938, 0.6939, 0.694, 0.6941, 0.6942, 0.6943, 0.6944, 0.6945, 0.6946, 0.6947, 0.6948, 0.6949000000000001, 0.6950000000000001, 0.6951, 0.6952, 0.6953, 0.6954, 0.6955, 0.6956, 0.6957, 0.6958, 0.6959, 0.696, 0.6960999999999999, 0.6962, 0.6963, 0.6964, 0.6965, 0.6966, 0.6967, 0.6968, 0.6969000000000001, 0.6970000000000001, 0.6971, 0.6972, 0.6973, 0.6974, 0.6975, 0.6976, 0.6977, 0.6978, 0.6979, 0.698, 0.6980999999999999, 0.6982, 0.6983, 0.6984, 0.6985, 0.6986, 0.6987, 0.6988, 0.6989000000000001, 0.6990000000000001, 0.6991, 0.6992, 0.6993, 0.6994, 0.6995, 0.6996, 0.6997, 0.6998, 0.6999, 0.7, 0.7001, 0.7002, 0.7003, 0.7004, 0.7005, 0.7006, 0.7007, 0.7008, 0.7009000000000001, 0.7010000000000001, 0.7011000000000001, 0.7012, 0.7013, 0.7014, 0.7015, 0.7016, 0.7017, 0.7018, 0.7019, 0.702, 0.7021, 0.7022, 0.7023, 0.7024, 0.7025, 0.7026, 0.7027, 0.7028, 0.7029, 0.7030000000000001, 0.7031000000000001, 0.7032, 0.7033, 0.7034, 0.7035, 0.7036, 0.7037, 0.7038, 0.7039, 0.704, 0.7041, 0.7042, 0.7043, 0.7044, 0.7045, 0.7046, 0.7047, 0.7048, 0.7049, 0.7050000000000001, 0.7051000000000001, 0.7052, 0.7053, 0.7054, 0.7055, 0.7056, 0.7057, 0.7058, 0.7059, 0.706, 0.7061, 0.7062, 0.7063, 0.7064, 0.7065, 0.7066, 0.7067, 0.7068, 0.7069, 0.7070000000000001, 0.7071000000000001, 0.7072, 0.7073, 0.7074, 0.7075, 0.7076, 0.7077, 0.7078, 0.7079, 0.708, 0.7081, 0.7081999999999999, 0.7083, 0.7084, 0.7085, 0.7086, 0.7087, 0.7088, 0.7089, 0.7090000000000001, 0.7091000000000001, 0.7092, 0.7093, 0.7094, 0.7095, 0.7096, 0.7097, 0.7098, 0.7099, 0.71, 0.7101, 0.7101999999999999, 0.7103, 0.7104, 0.7105, 0.7106, 0.7107, 0.7108, 0.7109, 0.7110000000000001, 0.7111000000000001, 0.7112, 0.7113, 0.7114, 0.7115, 0.7116, 0.7117, 0.7118, 0.7119, 0.712, 0.7121, 0.7121999999999999, 0.7123, 0.7124, 0.7125, 0.7126, 0.7127, 0.7128, 0.7129, 0.7130000000000001, 0.7131000000000001, 0.7132000000000001, 0.7133, 0.7134, 0.7135, 0.7136, 0.7137, 0.7138, 0.7139, 0.714, 0.7141, 0.7142, 0.7143, 0.7144, 0.7145, 0.7146, 0.7147, 0.7148, 0.7149, 0.715, 0.7151000000000001, 0.7152000000000001, 0.7153, 0.7154, 0.7155, 0.7156, 0.7157, 0.7158, 0.7159, 0.716, 0.7161, 0.7162, 0.7163, 0.7164, 0.7165, 0.7166, 0.7167, 0.7168, 0.7169, 0.717, 0.7171000000000001, 0.7172000000000001, 0.7173, 0.7174, 0.7175, 0.7176, 0.7177, 0.7178, 0.7179, 0.718, 0.7181, 0.7182, 0.7183, 0.7184, 0.7185, 0.7186, 0.7187, 0.7188, 0.7189, 0.719, 0.7191000000000001, 0.7192000000000001, 0.7193, 0.7194, 0.7195, 0.7196, 0.7197, 0.7198, 0.7199, 0.72, 0.7201, 0.7202, 0.7203, 0.7204, 0.7205, 0.7206, 0.7207, 0.7208, 0.7209, 0.721, 0.7211000000000001, 0.7212000000000001, 0.7213, 0.7214, 0.7215, 0.7216, 0.7217, 0.7218, 0.7219, 0.722, 0.7221, 0.7222, 0.7222999999999999, 0.7224, 0.7225, 0.7226, 0.7227, 0.7228, 0.7229, 0.723, 0.7231000000000001, 0.7232000000000001, 0.7233, 0.7234, 0.7235, 0.7236, 0.7237, 0.7238, 0.7239, 0.724, 0.7241, 0.7242, 0.7242999999999999, 0.7244, 0.7245, 0.7246, 0.7247, 0.7248, 0.7249, 0.725, 0.7251000000000001, 0.7252000000000001, 0.7253000000000001, 0.7254, 0.7255, 0.7256, 0.7257, 0.7258, 0.7259, 0.726, 0.7261, 0.7262, 0.7263, 0.7264, 0.7265, 0.7266, 0.7267, 0.7268, 0.7269, 0.727, 0.7271000000000001, 0.7272000000000001, 0.7273000000000001, 0.7274, 0.7275, 0.7276, 0.7277, 0.7278, 0.7279, 0.728, 0.7281, 0.7282, 0.7283, 0.7284, 0.7285, 0.7286, 0.7287, 0.7288, 0.7289, 0.729, 0.7291, 0.7292000000000001, 0.7293000000000001, 0.7294, 0.7295, 0.7296, 0.7297, 0.7298, 0.7299, 0.73, 0.7301, 0.7302, 0.7303, 0.7304, 0.7305, 0.7306, 0.7307, 0.7308, 0.7309, 0.731, 0.7311, 0.7312000000000001, 0.7313000000000001, 0.7314, 0.7315, 0.7316, 0.7317, 0.7318, 0.7319, 0.732, 0.7321, 0.7322, 0.7323, 0.7324, 0.7325, 0.7326, 0.7327, 0.7328, 0.7329, 0.733, 0.7331, 0.7332000000000001, 0.7333000000000001, 0.7334, 0.7335, 0.7336, 0.7337, 0.7338, 0.7339, 0.734, 0.7341, 0.7342, 0.7343, 0.7344, 0.7345, 0.7346, 0.7347, 0.7348, 0.7349, 0.735, 0.7351, 0.7352000000000001, 0.7353000000000001, 0.7354, 0.7355, 0.7356, 0.7357, 0.7358, 0.7359, 0.736, 0.7361, 0.7362, 0.7363, 0.7363999999999999, 0.7365, 0.7366, 0.7367, 0.7368, 0.7369, 0.737, 0.7371, 0.7372000000000001, 0.7373000000000001, 0.7374, 0.7375, 0.7376, 0.7377, 0.7378, 0.7379, 0.738, 0.7381, 0.7382, 0.7383, 0.7384, 0.7385, 0.7386, 0.7387, 0.7388, 0.7389, 0.739, 0.7391, 0.7392000000000001, 0.7393000000000001, 0.7394000000000001, 0.7395, 0.7396, 0.7397, 0.7398, 0.7399, 0.74, 0.7401, 0.7402, 0.7403, 0.7404, 0.7405, 0.7406, 0.7407, 0.7408, 0.7409, 0.741, 0.7411, 0.7412, 0.7413000000000001, 0.7414000000000001, 0.7415, 0.7416, 0.7417, 0.7418, 0.7419, 0.742, 0.7421, 0.7422, 0.7423, 0.7424, 0.7425, 0.7426, 0.7427, 0.7428, 0.7429, 0.743, 0.7431, 0.7432, 0.7433000000000001, 0.7434000000000001, 0.7435, 0.7436, 0.7437, 0.7438, 0.7439, 0.744, 0.7441, 0.7442, 0.7443, 0.7444, 0.7445, 0.7446, 0.7447, 0.7448, 0.7449, 0.745, 0.7451, 0.7452, 0.7453000000000001, 0.7454000000000001, 0.7455, 0.7456, 0.7457, 0.7458, 0.7459, 0.746, 0.7461, 0.7462, 0.7463, 0.7464, 0.7465, 0.7466, 0.7467, 0.7468, 0.7469, 0.747, 0.7471, 0.7472, 0.7473000000000001, 0.7474000000000001, 0.7475, 0.7476, 0.7477, 0.7478, 0.7479, 0.748, 0.7481, 0.7482, 0.7483, 0.7484, 0.7484999999999999, 0.7486, 0.7487, 0.7488, 0.7489, 0.749, 0.7491, 0.7492, 0.7493000000000001, 0.7494000000000001, 0.7495, 0.7496, 0.7497, 0.7498, 0.7499, 0.75, 0.7501, 0.7502, 0.7503, 0.7504, 0.7505, 0.7505999999999999, 0.7507, 0.7508, 0.7509, 0.751, 0.7511, 0.7512000000000001, 0.7513000000000001, 0.7514000000000001, 0.7515000000000001, 0.7516, 0.7517, 0.7518, 0.7519, 0.752, 0.7521, 0.7522, 0.7523, 0.7524, 0.7525, 0.7525999999999999, 0.7527, 0.7528, 0.7529, 0.753, 0.7531, 0.7532000000000001, 0.7533000000000001, 0.7534000000000001, 0.7535000000000001, 0.7536, 0.7537, 0.7538, 0.7539, 0.754, 0.7541, 0.7542, 0.7543, 0.7544, 0.7545, 0.7545999999999999, 0.7547, 0.7548, 0.7549, 0.755, 0.7551, 0.7552000000000001, 0.7553000000000001, 0.7554000000000001, 0.7555000000000001, 0.7556, 0.7557, 0.7558, 0.7559, 0.756, 0.7561, 0.7562, 0.7563, 0.7564, 0.7565, 0.7565999999999999, 0.7567, 0.7568, 0.7569, 0.757, 0.7571, 0.7572000000000001, 0.7573000000000001, 0.7574000000000001, 0.7575000000000001, 0.7576, 0.7577, 0.7578, 0.7579, 0.758, 0.7581, 0.7582, 0.7583, 0.7584, 0.7585, 0.7585999999999999, 0.7586999999999999, 0.7588, 0.7589, 0.759, 0.7591, 0.7592, 0.7593000000000001, 0.7594000000000001, 0.7595000000000001, 0.7596, 0.7597, 0.7598, 0.7599, 0.76, 0.7601, 0.7602, 0.7603, 0.7604, 0.7605, 0.7605999999999999, 0.7606999999999999, 0.7608, 0.7609, 0.761, 0.7611, 0.7612, 0.7613000000000001, 0.7614000000000001, 0.7615000000000001, 0.7616, 0.7617, 0.7618, 0.7619, 0.762, 0.7621, 0.7622, 0.7623, 0.7624, 0.7625, 0.7626, 0.7626999999999999, 0.7628, 0.7629, 0.763, 0.7631, 0.7632, 0.7633000000000001, 0.7634000000000001, 0.7635000000000001, 0.7636000000000001, 0.7637, 0.7638, 0.7639, 0.764, 0.7641, 0.7642, 0.7643, 0.7644, 0.7645, 0.7646, 0.7646999999999999, 0.7648, 0.7649, 0.765, 0.7651, 0.7652, 0.7653000000000001, 0.7654000000000001, 0.7655000000000001, 0.7656000000000001, 0.7657, 0.7658, 0.7659, 0.766, 0.7661, 0.7662, 0.7663, 0.7664, 0.7665, 0.7666, 0.7666999999999999, 0.7668, 0.7669, 0.767, 0.7671, 0.7672, 0.7673000000000001, 0.7674000000000001, 0.7675000000000001, 0.7676000000000001, 0.7677, 0.7678, 0.7679, 0.768, 0.7681, 0.7682, 0.7683, 0.7684, 0.7685, 0.7686, 0.7686999999999999, 0.7688, 0.7689, 0.769, 0.7691, 0.7692, 0.7693000000000001, 0.7694000000000001, 0.7695000000000001, 0.7696000000000001, 0.7697, 0.7698, 0.7699, 0.77, 0.7701, 0.7702, 0.7703, 0.7704, 0.7705, 0.7706, 0.7706999999999999, 0.7708, 0.7709, 0.771, 0.7711, 0.7712, 0.7713, 0.7714000000000001, 0.7715000000000001, 0.7716000000000001, 0.7717, 0.7718, 0.7719, 0.772, 0.7721, 0.7722, 0.7723, 0.7724, 0.7725, 0.7726, 0.7726999999999999, 0.7727999999999999, 0.7729, 0.773, 0.7731, 0.7732, 0.7733, 0.7734000000000001, 0.7735000000000001, 0.7736000000000001, 0.7737, 0.7738, 0.7739, 0.774, 0.7741, 0.7742, 0.7743, 0.7744, 0.7745, 0.7746, 0.7746999999999999, 0.7747999999999999, 0.7749, 0.775, 0.7751, 0.7752, 0.7753, 0.7754000000000001, 0.7755000000000001, 0.7756000000000001, 0.7757000000000001, 0.7758, 0.7759, 0.776, 0.7761, 0.7762, 0.7763, 0.7764, 0.7765, 0.7766, 0.7767, 0.7767999999999999, 0.7769, 0.777, 0.7771, 0.7772, 0.7773, 0.7774000000000001, 0.7775000000000001, 0.7776000000000001, 0.7777000000000001, 0.7778, 0.7779, 0.778, 0.7781, 0.7782, 0.7783, 0.7784, 0.7785, 0.7786, 0.7787, 0.7787999999999999, 0.7789, 0.779, 0.7791, 0.7792, 0.7793, 0.7794000000000001, 0.7795000000000001, 0.7796000000000001, 0.7797000000000001, 0.7798, 0.7799, 0.78, 0.7801, 0.7802, 0.7803, 0.7804, 0.7805, 0.7806, 0.7807, 0.7807999999999999, 0.7809, 0.781, 0.7811, 0.7812, 0.7813, 0.7814000000000001, 0.7815000000000001, 0.7816000000000001, 0.7817000000000001, 0.7818, 0.7819, 0.782, 0.7821, 0.7822, 0.7823, 0.7824, 0.7825, 0.7826, 0.7827, 0.7827999999999999, 0.7829, 0.783, 0.7831, 0.7832, 0.7833, 0.7834000000000001, 0.7835000000000001, 0.7836000000000001, 0.7837000000000001, 0.7838, 0.7839, 0.784, 0.7841, 0.7842, 0.7843, 0.7844, 0.7845, 0.7846, 0.7847, 0.7847999999999999, 0.7848999999999999, 0.785, 0.7851, 0.7852, 0.7853, 0.7854, 0.7855000000000001, 0.7856000000000001, 0.7857000000000001, 0.7858, 0.7859, 0.786, 0.7861, 0.7862, 0.7863, 0.7864, 0.7865, 0.7866, 0.7867, 0.7867999999999999, 0.7868999999999999, 0.787, 0.7871, 0.7872, 0.7873, 0.7874, 0.7875000000000001, 0.7876000000000001, 0.7877000000000001, 0.7878000000000001, 0.7879, 0.788, 0.7881, 0.7882, 0.7883, 0.7884, 0.7885, 0.7886, 0.7887, 0.7888, 0.7888999999999999, 0.789, 0.7891, 0.7892, 0.7893, 0.7894, 0.7895000000000001, 0.7896000000000001, 0.7897000000000001, 0.7898000000000001, 0.7899, 0.79, 0.7901, 0.7902, 0.7903, 0.7904, 0.7905, 0.7906, 0.7907, 0.7908, 0.7908999999999999, 0.791, 0.7911, 0.7912, 0.7913, 0.7914, 0.7915000000000001, 0.7916000000000001, 0.7917000000000001, 0.7918000000000001, 0.7919, 0.792, 0.7921, 0.7922, 0.7923, 0.7924, 0.7925, 0.7926, 0.7927, 0.7928, 0.7928999999999999, 0.793, 0.7931, 0.7932, 0.7933, 0.7934, 0.7935000000000001, 0.7936000000000001, 0.7937000000000001, 0.7938000000000001, 0.7939, 0.794, 0.7941, 0.7942, 0.7943, 0.7944, 0.7945, 0.7946, 0.7947, 0.7948, 0.7948999999999999, 0.795, 0.7951, 0.7952, 0.7953, 0.7954, 0.7955000000000001, 0.7956000000000001, 0.7957000000000001, 0.7958000000000001, 0.7959, 0.796, 0.7961, 0.7962, 0.7963, 0.7964, 0.7965, 0.7966, 0.7967, 0.7968, 0.7968999999999999, 0.797, 0.7971, 0.7972, 0.7973, 0.7974, 0.7975, 0.7976000000000001, 0.7977000000000001, 0.7978000000000001, 0.7979, 0.798, 0.7981, 0.7982, 0.7983, 0.7984, 0.7985, 0.7986, 0.7987, 0.7988, 0.7988999999999999, 0.7989999999999999, 0.7991, 0.7992, 0.7993, 0.7994, 0.7995, 0.7996000000000001, 0.7997000000000001, 0.7998000000000001, 0.7999, 0.8, 0.8001, 0.8002, 0.8003, 0.8004, 0.8005, 0.8006, 0.8007, 0.8008, 0.8009, 0.8009999999999999, 0.8011, 0.8012, 0.8013, 0.8014, 0.8015, 0.8016000000000001, 0.8017000000000001, 0.8018000000000001, 0.8019000000000001, 0.802, 0.8021, 0.8022, 0.8023, 0.8024, 0.8025, 0.8026, 0.8027, 0.8028, 0.8029, 0.8029999999999999, 0.8031, 0.8032, 0.8033, 0.8034, 0.8035, 0.8036000000000001, 0.8037000000000001, 0.8038000000000001, 0.8039000000000001, 0.804, 0.8041, 0.8042, 0.8043, 0.8044, 0.8045, 0.8046, 0.8047, 0.8048, 0.8049, 0.8049999999999999, 0.8051, 0.8052, 0.8053, 0.8054, 0.8055, 0.8056000000000001, 0.8057000000000001, 0.8058000000000001, 0.8059000000000001, 0.806, 0.8061, 0.8062, 0.8063, 0.8064, 0.8065, 0.8066, 0.8067, 0.8068, 0.8069, 0.8069999999999999, 0.8071, 0.8072, 0.8073, 0.8074, 0.8075, 0.8076000000000001, 0.8077000000000001, 0.8078000000000001, 0.8079000000000001, 0.808, 0.8081, 0.8082, 0.8083, 0.8084, 0.8085, 0.8086, 0.8087, 0.8088, 0.8089, 0.8089999999999999, 0.8091, 0.8092, 0.8093, 0.8094, 0.8095, 0.8096000000000001, 0.8097000000000001, 0.8098000000000001, 0.8099000000000001, 0.81, 0.8101, 0.8102, 0.8103, 0.8104, 0.8105, 0.8106, 0.8107, 0.8108, 0.8109, 0.8109999999999999, 0.8110999999999999, 0.8112, 0.8113, 0.8114, 0.8115, 0.8116, 0.8117000000000001, 0.8118000000000001, 0.8119000000000001, 0.812, 0.8121, 0.8122, 0.8123, 0.8124, 0.8125, 0.8126, 0.8127, 0.8128, 0.8129, 0.813, 0.8130999999999999, 0.8132, 0.8133, 0.8134, 0.8135, 0.8136, 0.8137000000000001, 0.8138000000000001, 0.8139000000000001, 0.8140000000000001, 0.8141, 0.8142, 0.8143, 0.8144, 0.8145, 0.8146, 0.8147, 0.8148, 0.8149, 0.815, 0.8150999999999999, 0.8152, 0.8153, 0.8154, 0.8155, 0.8156, 0.8157000000000001, 0.8158000000000001, 0.8159000000000001, 0.8160000000000001, 0.8161, 0.8162, 0.8163, 0.8164, 0.8165, 0.8166, 0.8167, 0.8168, 0.8169, 0.817, 0.8170999999999999, 0.8172, 0.8173, 0.8174, 0.8175, 0.8176, 0.8177000000000001, 0.8178000000000001, 0.8179000000000001, 0.8180000000000001, 0.8181, 0.8182, 0.8183, 0.8184, 0.8185, 0.8186, 0.8187, 0.8188, 0.8189, 0.819, 0.8190999999999999, 0.8192, 0.8193, 0.8194, 0.8195, 0.8196, 0.8197000000000001, 0.8198000000000001, 0.8199000000000001, 0.8200000000000001, 0.8201, 0.8202, 0.8203, 0.8204, 0.8205, 0.8206, 0.8207, 0.8208, 0.8209, 0.821, 0.8210999999999999, 0.8212, 0.8213, 0.8214, 0.8215, 0.8216, 0.8217000000000001, 0.8218000000000001, 0.8219000000000001, 0.8220000000000001, 0.8221, 0.8222, 0.8223, 0.8224, 0.8225, 0.8226, 0.8227, 0.8228, 0.8229, 0.823, 0.8230999999999999, 0.8232, 0.8233, 0.8234, 0.8235, 0.8236, 0.8237000000000001, 0.8238000000000001, 0.8239000000000001, 0.8240000000000001, 0.8241, 0.8242, 0.8243, 0.8244, 0.8245, 0.8246, 0.8247, 0.8248, 0.8249, 0.825, 0.8251, 0.8251999999999999, 0.8253, 0.8254, 0.8255, 0.8256, 0.8257, 0.8258000000000001, 0.8259000000000001, 0.8260000000000001, 0.8261000000000001, 0.8262, 0.8263, 0.8264, 0.8265, 0.8266, 0.8267, 0.8268, 0.8269, 0.827, 0.8271, 0.8271999999999999, 0.8273, 0.8274, 0.8275, 0.8276, 0.8277, 0.8278000000000001, 0.8279000000000001, 0.8280000000000001, 0.8281000000000001, 0.8282, 0.8283, 0.8284, 0.8285, 0.8286, 0.8287, 0.8288, 0.8289, 0.829, 0.8291, 0.8291999999999999, 0.8293, 0.8294, 0.8295, 0.8296, 0.8297, 0.8298000000000001, 0.8299000000000001, 0.8300000000000001, 0.8301000000000001, 0.8302, 0.8303, 0.8304, 0.8305, 0.8306, 0.8307, 0.8308, 0.8309, 0.831, 0.8311, 0.8311999999999999, 0.8313, 0.8314, 0.8315, 0.8316, 0.8317, 0.8318000000000001, 0.8319000000000001, 0.8320000000000001, 0.8321000000000001, 0.8322, 0.8323, 0.8324, 0.8325, 0.8326, 0.8327, 0.8328, 0.8329, 0.833, 0.8331, 0.8331999999999999, 0.8333, 0.8334, 0.8335, 0.8336, 0.8337, 0.8338000000000001, 0.8339000000000001, 0.8340000000000001, 0.8341000000000001, 0.8342, 0.8343, 0.8344, 0.8345, 0.8346, 0.8347, 0.8348, 0.8349, 0.835, 0.8351, 0.8351999999999999, 0.8353, 0.8354, 0.8355, 0.8356, 0.8357, 0.8358000000000001, 0.8359000000000001, 0.8360000000000001, 0.8361000000000001, 0.8362, 0.8363, 0.8364, 0.8365, 0.8366, 0.8367, 0.8368, 0.8369, 0.837, 0.8371, 0.8371999999999999, 0.8372999999999999, 0.8374, 0.8375, 0.8376, 0.8377, 0.8378, 0.8379000000000001, 0.8380000000000001, 0.8381000000000001, 0.8382000000000001, 0.8383, 0.8384, 0.8385, 0.8386, 0.8387, 0.8388, 0.8389, 0.839, 0.8391, 0.8392, 0.8392999999999999, 0.8394, 0.8395, 0.8396, 0.8397, 0.8398, 0.8399000000000001, 0.8400000000000001, 0.8401000000000001, 0.8402000000000001, 0.8403, 0.8404, 0.8405, 0.8406, 0.8407, 0.8408, 0.8409, 0.841, 0.8411, 0.8412, 0.8412999999999999, 0.8414, 0.8415, 0.8416, 0.8417, 0.8418, 0.8419000000000001, 0.8420000000000001, 0.8421000000000001, 0.8422000000000001, 0.8423, 0.8424, 0.8425, 0.8426, 0.8427, 0.8428, 0.8429, 0.843, 0.8431, 0.8432, 0.8432999999999999, 0.8434, 0.8435, 0.8436, 0.8437, 0.8438, 0.8439000000000001, 0.8440000000000001, 0.8441000000000001, 0.8442000000000001, 0.8443, 0.8444, 0.8445, 0.8446, 0.8447, 0.8448, 0.8449, 0.845, 0.8451, 0.8452, 0.8452999999999999, 0.8454, 0.8455, 0.8456, 0.8457, 0.8458, 0.8459000000000001, 0.8460000000000001, 0.8461000000000001, 0.8462000000000001, 0.8463, 0.8464, 0.8465, 0.8466, 0.8467, 0.8468, 0.8469, 0.847, 0.8471, 0.8472, 0.8472999999999999, 0.8474, 0.8475, 0.8476, 0.8477, 0.8478, 0.8479000000000001, 0.8480000000000001, 0.8481000000000001, 0.8482000000000001, 0.8483, 0.8484, 0.8485, 0.8486, 0.8487, 0.8488, 0.8489, 0.849, 0.8491, 0.8492, 0.8492999999999999, 0.8494, 0.8495, 0.8496, 0.8497, 0.8498, 0.8499000000000001, 0.8500000000000001, 0.8501000000000001, 0.8502000000000001, 0.8503000000000001, 0.8504, 0.8505, 0.8506, 0.8507, 0.8508, 0.8509, 0.851, 0.8511, 0.8512, 0.8513, 0.8513999999999999, 0.8515, 0.8516, 0.8517, 0.8518, 0.8519, 0.8520000000000001, 0.8521000000000001, 0.8522000000000001, 0.8523000000000001, 0.8524, 0.8525, 0.8526, 0.8527, 0.8528, 0.8529, 0.853, 0.8531, 0.8532, 0.8533, 0.8533999999999999, 0.8535, 0.8536, 0.8537, 0.8538, 0.8539, 0.8540000000000001, 0.8541000000000001, 0.8542000000000001, 0.8543000000000001, 0.8544, 0.8545, 0.8546, 0.8547, 0.8548, 0.8549, 0.855, 0.8551, 0.8552, 0.8553, 0.8553999999999999, 0.8555, 0.8556, 0.8557, 0.8558, 0.8559, 0.8560000000000001, 0.8561000000000001, 0.8562000000000001, 0.8563000000000001, 0.8564, 0.8565, 0.8566, 0.8567, 0.8568, 0.8569, 0.857, 0.8571, 0.8572, 0.8573, 0.8573999999999999, 0.8575, 0.8576, 0.8577, 0.8578, 0.8579, 0.8580000000000001, 0.8581000000000001, 0.8582000000000001, 0.8583000000000001, 0.8584, 0.8585, 0.8586, 0.8587, 0.8588, 0.8589, 0.859, 0.8591, 0.8592, 0.8593, 0.8593999999999999, 0.8595, 0.8596, 0.8597, 0.8598, 0.8599, 0.8600000000000001, 0.8601000000000001, 0.8602000000000001, 0.8603000000000001, 0.8604, 0.8605, 0.8606, 0.8607, 0.8608, 0.8609, 0.861, 0.8611, 0.8612, 0.8613, 0.8613999999999999, 0.8615, 0.8616, 0.8617, 0.8618, 0.8619, 0.8620000000000001, 0.8621000000000001, 0.8622000000000001, 0.8623000000000001, 0.8624, 0.8625, 0.8626, 0.8627, 0.8628, 0.8629, 0.863, 0.8631, 0.8632, 0.8633, 0.8634, 0.8634999999999999, 0.8636, 0.8637, 0.8638, 0.8639, 0.864, 0.8641000000000001, 0.8642000000000001, 0.8643000000000001, 0.8644000000000001, 0.8645, 0.8646, 0.8647, 0.8648, 0.8649, 0.865, 0.8651, 0.8652, 0.8653, 0.8654, 0.8654999999999999, 0.8656, 0.8657, 0.8658, 0.8659, 0.866, 0.8661000000000001, 0.8662000000000001, 0.8663000000000001, 0.8664000000000001, 0.8665, 0.8666, 0.8667, 0.8668, 0.8669, 0.867, 0.8671, 0.8672, 0.8673, 0.8674, 0.8674999999999999, 0.8676, 0.8677, 0.8678, 0.8679, 0.868, 0.8681000000000001, 0.8682000000000001, 0.8683000000000001, 0.8684000000000001, 0.8685, 0.8686, 0.8687, 0.8688, 0.8689, 0.869, 0.8691, 0.8692, 0.8693, 0.8694, 0.8694999999999999, 0.8696, 0.8697, 0.8698, 0.8699, 0.87, 0.8701000000000001, 0.8702000000000001, 0.8703000000000001, 0.8704000000000001, 0.8705, 0.8706, 0.8707, 0.8708, 0.8709, 0.871, 0.8711, 0.8712, 0.8713, 0.8714, 0.8714999999999999, 0.8716, 0.8717, 0.8718, 0.8719, 0.872, 0.8721000000000001, 0.8722000000000001, 0.8723000000000001, 0.8724000000000001, 0.8725, 0.8726, 0.8727, 0.8728, 0.8729, 0.873, 0.8731, 0.8732, 0.8733, 0.8734, 0.8734999999999999, 0.8736, 0.8737, 0.8738, 0.8739, 0.874, 0.8741000000000001, 0.8742000000000001, 0.8743000000000001, 0.8744000000000001, 0.8745, 0.8746, 0.8747, 0.8748, 0.8749, 0.875, 0.8751, 0.8752, 0.8753, 0.8754, 0.8755, 0.8756, 0.8757, 0.8758, 0.8759, 0.876, 0.8761000000000001, 0.8762000000000001, 0.8763000000000001, 0.8764000000000001, 0.8765000000000001, 0.8766, 0.8767, 0.8768, 0.8769, 0.877, 0.8771, 0.8772, 0.8773, 0.8774, 0.8775, 0.8775999999999999, 0.8777, 0.8778, 0.8779, 0.878, 0.8781, 0.8782000000000001, 0.8783000000000001, 0.8784000000000001, 0.8785000000000001, 0.8786, 0.8787, 0.8788, 0.8789, 0.879, 0.8791, 0.8792, 0.8793, 0.8794, 0.8795, 0.8795999999999999, 0.8797, 0.8798, 0.8799, 0.88, 0.8801, 0.8802000000000001, 0.8803000000000001, 0.8804000000000001, 0.8805000000000001, 0.8806, 0.8807, 0.8808, 0.8809, 0.881, 0.8811, 0.8812, 0.8813, 0.8814, 0.8815, 0.8815999999999999, 0.8817, 0.8818, 0.8819, 0.882, 0.8821, 0.8822000000000001, 0.8823000000000001, 0.8824000000000001, 0.8825000000000001, 0.8826, 0.8827, 0.8828, 0.8829, 0.883, 0.8831, 0.8832, 0.8833, 0.8834, 0.8835, 0.8835999999999999, 0.8837, 0.8838, 0.8839, 0.884, 0.8841, 0.8842000000000001, 0.8843000000000001, 0.8844000000000001, 0.8845000000000001, 0.8846, 0.8847, 0.8848, 0.8849, 0.885, 0.8851, 0.8852, 0.8853, 0.8854, 0.8855, 0.8855999999999999, 0.8857, 0.8858, 0.8859, 0.886, 0.8861, 0.8862000000000001, 0.8863000000000001, 0.8864000000000001, 0.8865000000000001, 0.8866, 0.8867, 0.8868, 0.8869, 0.887, 0.8871, 0.8872, 0.8873, 0.8874, 0.8875, 0.8876, 0.8877, 0.8878, 0.8879, 0.888, 0.8881, 0.8882000000000001, 0.8883000000000001, 0.8884000000000001, 0.8885000000000001, 0.8886000000000001, 0.8887, 0.8888, 0.8889, 0.889, 0.8891, 0.8892, 0.8893, 0.8894, 0.8895, 0.8896, 0.8897, 0.8898, 0.8899, 0.89, 0.8901, 0.8902, 0.8903000000000001, 0.8904000000000001, 0.8905000000000001, 0.8906000000000001, 0.8907, 0.8908, 0.8909, 0.891, 0.8911, 0.8912, 0.8913, 0.8914, 0.8915, 0.8916, 0.8916999999999999, 0.8918, 0.8919, 0.892, 0.8921, 0.8922, 0.8923000000000001, 0.8924000000000001, 0.8925000000000001, 0.8926000000000001, 0.8927, 0.8928, 0.8929, 0.893, 0.8931, 0.8932, 0.8933, 0.8934, 0.8935, 0.8936, 0.8936999999999999, 0.8938, 0.8939, 0.894, 0.8941, 0.8942, 0.8943000000000001, 0.8944000000000001, 0.8945000000000001, 0.8946000000000001, 0.8947, 0.8948, 0.8949, 0.895, 0.8951, 0.8952, 0.8953, 0.8954, 0.8955, 0.8956, 0.8956999999999999, 0.8958, 0.8959, 0.896, 0.8961, 0.8962, 0.8963000000000001, 0.8964000000000001, 0.8965000000000001, 0.8966000000000001, 0.8967, 0.8968, 0.8969, 0.897, 0.8971, 0.8972, 0.8973, 0.8974, 0.8975, 0.8976, 0.8976999999999999, 0.8978, 0.8979, 0.898, 0.8981, 0.8982, 0.8983000000000001, 0.8984000000000001, 0.8985000000000001, 0.8986000000000001, 0.8987, 0.8988, 0.8989, 0.899, 0.8991, 0.8992, 0.8993, 0.8994, 0.8995, 0.8996, 0.8996999999999999, 0.8998, 0.8999, 0.9, 0.9001, 0.9002, 0.9003000000000001, 0.9004000000000001, 0.9005000000000001, 0.9006000000000001, 0.9007000000000001, 0.9008, 0.9009, 0.901, 0.9011, 0.9012, 0.9013, 0.9014, 0.9015, 0.9016, 0.9017, 0.9018, 0.9019, 0.902, 0.9021, 0.9022, 0.9023000000000001, 0.9024000000000001, 0.9025000000000001, 0.9026000000000001, 0.9027000000000001, 0.9028, 0.9029, 0.903, 0.9031, 0.9032, 0.9033, 0.9034, 0.9035, 0.9036, 0.9037, 0.9037999999999999, 0.9039, 0.904, 0.9041, 0.9042, 0.9043, 0.9044000000000001, 0.9045000000000001, 0.9046000000000001, 0.9047000000000001, 0.9048, 0.9049, 0.905, 0.9051, 0.9052, 0.9053, 0.9054, 0.9055, 0.9056, 0.9057, 0.9057999999999999, 0.9059, 0.906, 0.9061, 0.9062, 0.9063, 0.9064000000000001, 0.9065000000000001, 0.9066000000000001, 0.9067000000000001, 0.9068, 0.9069, 0.907, 0.9071, 0.9072, 0.9073, 0.9074, 0.9075, 0.9076, 0.9077, 0.9077999999999999, 0.9079, 0.908, 0.9081, 0.9082, 0.9083, 0.9084000000000001, 0.9085000000000001, 0.9086000000000001, 0.9087000000000001, 0.9088, 0.9089, 0.909, 0.9091, 0.9092, 0.9093, 0.9094, 0.9095, 0.9096, 0.9097, 0.9097999999999999, 0.9099, 0.91, 0.9101, 0.9102, 0.9103, 0.9104000000000001, 0.9105000000000001, 0.9106000000000001, 0.9107000000000001, 0.9108, 0.9109, 0.911, 0.9111, 0.9112, 0.9113, 0.9114, 0.9115, 0.9116, 0.9117, 0.9117999999999999, 0.9119, 0.912, 0.9121, 0.9122, 0.9123, 0.9124000000000001, 0.9125000000000001, 0.9126000000000001, 0.9127000000000001, 0.9128000000000001, 0.9129, 0.913, 0.9131, 0.9132, 0.9133, 0.9134, 0.9135, 0.9136, 0.9137, 0.9138, 0.9139, 0.914, 0.9141, 0.9142, 0.9143, 0.9144000000000001, 0.9145000000000001, 0.9146000000000001, 0.9147000000000001, 0.9148000000000001, 0.9149, 0.915, 0.9151, 0.9152, 0.9153, 0.9154, 0.9155, 0.9156, 0.9157, 0.9158, 0.9159, 0.916, 0.9161, 0.9162, 0.9163, 0.9164, 0.9165000000000001, 0.9166000000000001, 0.9167000000000001, 0.9168000000000001, 0.9169, 0.917, 0.9171, 0.9172, 0.9173, 0.9174, 0.9175, 0.9176, 0.9177, 0.9178, 0.9178999999999999, 0.918, 0.9181, 0.9182, 0.9183, 0.9184, 0.9185000000000001, 0.9186000000000001, 0.9187000000000001, 0.9188000000000001, 0.9189, 0.919, 0.9191, 0.9192, 0.9193, 0.9194, 0.9195, 0.9196, 0.9197, 0.9198, 0.9198999999999999, 0.92, 0.9201, 0.9202, 0.9203, 0.9204, 0.9205000000000001, 0.9206000000000001, 0.9207000000000001, 0.9208000000000001, 0.9209, 0.921, 0.9211, 0.9212, 0.9213, 0.9214, 0.9215, 0.9216, 0.9217, 0.9218, 0.9218999999999999, 0.922, 0.9221, 0.9222, 0.9223, 0.9224, 0.9225000000000001, 0.9226000000000001, 0.9227000000000001, 0.9228000000000001, 0.9229, 0.923, 0.9231, 0.9232, 0.9233, 0.9234, 0.9235, 0.9236, 0.9237, 0.9238, 0.9238999999999999, 0.924, 0.9241, 0.9242, 0.9243, 0.9244, 0.9245000000000001, 0.9246000000000001, 0.9247000000000001, 0.9248000000000001, 0.9249, 0.925, 0.9251, 0.9252, 0.9253, 0.9254, 0.9255, 0.9256, 0.9257, 0.9258, 0.9259, 0.926, 0.9261, 0.9262, 0.9263, 0.9264, 0.9265000000000001, 0.9266000000000001, 0.9267000000000001, 0.9268000000000001, 0.9269000000000001, 0.927, 0.9271, 0.9272, 0.9273, 0.9274, 0.9275, 0.9276, 0.9277, 0.9278, 0.9279, 0.928, 0.9281, 0.9282, 0.9283, 0.9284, 0.9285000000000001, 0.9286000000000001, 0.9287000000000001, 0.9288000000000001, 0.9289000000000001, 0.929, 0.9291, 0.9292, 0.9293, 0.9294, 0.9295, 0.9296, 0.9297, 0.9298, 0.9299, 0.9299999999999999, 0.9301, 0.9302, 0.9303, 0.9304, 0.9305, 0.9306000000000001, 0.9307000000000001, 0.9308000000000001, 0.9309000000000001, 0.931, 0.9311, 0.9312, 0.9313, 0.9314, 0.9315, 0.9316, 0.9317, 0.9318, 0.9319, 0.9319999999999999, 0.9321, 0.9322, 0.9323, 0.9324, 0.9325, 0.9326000000000001, 0.9327000000000001, 0.9328000000000001, 0.9329000000000001, 0.933, 0.9331, 0.9332, 0.9333, 0.9334, 0.9335, 0.9336, 0.9337, 0.9338, 0.9339, 0.9339999999999999, 0.9341, 0.9342, 0.9343, 0.9344, 0.9345, 0.9346000000000001, 0.9347000000000001, 0.9348000000000001, 0.9349000000000001, 0.935, 0.9351, 0.9352, 0.9353, 0.9354, 0.9355, 0.9356, 0.9357, 0.9358, 0.9359, 0.9359999999999999, 0.9361, 0.9362, 0.9363, 0.9364, 0.9365, 0.9366000000000001, 0.9367000000000001, 0.9368000000000001, 0.9369000000000001, 0.937, 0.9371, 0.9372, 0.9373, 0.9374, 0.9375, 0.9376, 0.9377, 0.9378, 0.9379, 0.938, 0.9381, 0.9382, 0.9383, 0.9384, 0.9385, 0.9386000000000001, 0.9387000000000001, 0.9388000000000001, 0.9389000000000001, 0.9390000000000001, 0.9391, 0.9392, 0.9393, 0.9394, 0.9395, 0.9396, 0.9397, 0.9398, 0.9399, 0.94, 0.9401, 0.9402, 0.9403, 0.9404, 0.9405, 0.9406000000000001, 0.9407000000000001, 0.9408000000000001, 0.9409000000000001, 0.9410000000000001, 0.9411, 0.9412, 0.9413, 0.9414, 0.9415, 0.9416, 0.9417, 0.9418, 0.9419, 0.942, 0.9421, 0.9422, 0.9423, 0.9424, 0.9425, 0.9426000000000001, 0.9427000000000001, 0.9428000000000001, 0.9429000000000001, 0.9430000000000001, 0.9431, 0.9432, 0.9433, 0.9434, 0.9435, 0.9436, 0.9437, 0.9438, 0.9439, 0.944, 0.9440999999999999, 0.9442, 0.9443, 0.9444, 0.9445, 0.9446, 0.9447000000000001, 0.9448000000000001, 0.9449000000000001, 0.9450000000000001, 0.9451, 0.9452, 0.9453, 0.9454, 0.9455, 0.9456, 0.9457, 0.9458, 0.9459, 0.946, 0.9460999999999999, 0.9462, 0.9463, 0.9464, 0.9465, 0.9466, 0.9467000000000001, 0.9468000000000001, 0.9469000000000001, 0.9470000000000001, 0.9471, 0.9472, 0.9473, 0.9474, 0.9475, 0.9476, 0.9477, 0.9478, 0.9479, 0.948, 0.9480999999999999, 0.9482, 0.9483, 0.9484, 0.9485, 0.9486, 0.9487000000000001, 0.9488000000000001, 0.9489000000000001, 0.9490000000000001, 0.9491, 0.9492, 0.9493, 0.9494, 0.9495, 0.9496, 0.9497, 0.9498, 0.9499, 0.95, 0.9501, 0.9502, 0.9503, 0.9504, 0.9505, 0.9506, 0.9507000000000001, 0.9508000000000001, 0.9509000000000001, 0.9510000000000001, 0.9511000000000001, 0.9512, 0.9513, 0.9514, 0.9515, 0.9516, 0.9517, 0.9518, 0.9519, 0.952, 0.9521, 0.9522, 0.9523, 0.9524, 0.9525, 0.9526, 0.9527000000000001, 0.9528000000000001, 0.9529000000000001, 0.9530000000000001, 0.9531000000000001, 0.9532, 0.9533, 0.9534, 0.9535, 0.9536, 0.9537, 0.9538, 0.9539, 0.954, 0.9541, 0.9542, 0.9543, 0.9544, 0.9545, 0.9546, 0.9547000000000001, 0.9548000000000001, 0.9549000000000001, 0.9550000000000001, 0.9551000000000001, 0.9552, 0.9553, 0.9554, 0.9555, 0.9556, 0.9557, 0.9558, 0.9559, 0.956, 0.9561, 0.9561999999999999, 0.9563, 0.9564, 0.9565, 0.9566, 0.9567, 0.9568000000000001, 0.9569000000000001, 0.9570000000000001, 0.9571000000000001, 0.9572, 0.9573, 0.9574, 0.9575, 0.9576, 0.9577, 0.9578, 0.9579, 0.958, 0.9581, 0.9581999999999999, 0.9583, 0.9584, 0.9585, 0.9586, 0.9587, 0.9588000000000001, 0.9589000000000001, 0.9590000000000001, 0.9591000000000001, 0.9592, 0.9593, 0.9594, 0.9595, 0.9596, 0.9597, 0.9598, 0.9599, 0.96, 0.9601, 0.9601999999999999, 0.9603, 0.9604, 0.9605, 0.9606, 0.9607, 0.9608000000000001, 0.9609000000000001, 0.9610000000000001, 0.9611000000000001, 0.9612, 0.9613, 0.9614, 0.9615, 0.9616, 0.9617, 0.9618, 0.9619, 0.962, 0.9621, 0.9621999999999999, 0.9623, 0.9624, 0.9625, 0.9626, 0.9627, 0.9628000000000001, 0.9629000000000001, 0.9630000000000001, 0.9631000000000001, 0.9632000000000001, 0.9633, 0.9634, 0.9635, 0.9636, 0.9637, 0.9638, 0.9639, 0.964, 0.9641, 0.9642, 0.9643, 0.9644, 0.9645, 0.9646, 0.9647, 0.9648000000000001, 0.9649000000000001, 0.9650000000000001, 0.9651000000000001, 0.9652000000000001, 0.9653, 0.9654, 0.9655, 0.9656, 0.9657, 0.9658, 0.9659, 0.966, 0.9661, 0.9662, 0.9663, 0.9664, 0.9665, 0.9666, 0.9667, 0.9668000000000001, 0.9669000000000001, 0.9670000000000001, 0.9671000000000001, 0.9672000000000001, 0.9673, 0.9674, 0.9675, 0.9676, 0.9677, 0.9678, 0.9679, 0.968, 0.9681, 0.9682, 0.9683, 0.9684, 0.9685, 0.9686, 0.9687, 0.9688000000000001, 0.9689000000000001, 0.9690000000000001, 0.9691000000000001, 0.9692000000000001, 0.9693, 0.9694, 0.9695, 0.9696, 0.9697, 0.9698, 0.9699, 0.97, 0.9701, 0.9702, 0.9702999999999999, 0.9704, 0.9705, 0.9706, 0.9707, 0.9708, 0.9709000000000001, 0.9710000000000001, 0.9711000000000001, 0.9712000000000001, 0.9713, 0.9714, 0.9715, 0.9716, 0.9717, 0.9718, 0.9719, 0.972, 0.9721, 0.9722, 0.9722999999999999, 0.9724, 0.9725, 0.9726, 0.9727, 0.9728, 0.9729000000000001, 0.9730000000000001, 0.9731000000000001, 0.9732000000000001, 0.9733, 0.9734, 0.9735, 0.9736, 0.9737, 0.9738, 0.9739, 0.974, 0.9741, 0.9742, 0.9742999999999999, 0.9744, 0.9745, 0.9746, 0.9747, 0.9748, 0.9749000000000001, 0.9750000000000001, 0.9751000000000001, 0.9752000000000001, 0.9753000000000001, 0.9754, 0.9755, 0.9756, 0.9757, 0.9758, 0.9759, 0.976, 0.9761, 0.9762, 0.9763, 0.9764, 0.9765, 0.9766, 0.9767, 0.9768, 0.9769000000000001, 0.9770000000000001, 0.9771000000000001, 0.9772000000000001, 0.9773000000000001, 0.9774, 0.9775, 0.9776, 0.9777, 0.9778, 0.9779, 0.978, 0.9781, 0.9782, 0.9783, 0.9784, 0.9785, 0.9786, 0.9787, 0.9788, 0.9789000000000001, 0.9790000000000001, 0.9791000000000001, 0.9792000000000001, 0.9793000000000001, 0.9794, 0.9795, 0.9796, 0.9797, 0.9798, 0.9799, 0.98, 0.9801, 0.9802, 0.9803, 0.9804, 0.9805, 0.9806, 0.9807, 0.9808, 0.9809000000000001, 0.9810000000000001, 0.9811000000000001, 0.9812000000000001, 0.9813000000000001, 0.9814, 0.9815, 0.9816, 0.9817, 0.9818, 0.9819, 0.982, 0.9821, 0.9822, 0.9823, 0.9823999999999999, 0.9825, 0.9826, 0.9827, 0.9828, 0.9829, 0.9830000000000001, 0.9831000000000001, 0.9832000000000001, 0.9833000000000001, 0.9834, 0.9835, 0.9836, 0.9837, 0.9838, 0.9839, 0.984, 0.9841, 0.9842, 0.9843, 0.9843999999999999, 0.9845, 0.9846, 0.9847, 0.9848, 0.9849, 0.9850000000000001, 0.9851000000000001, 0.9852000000000001, 0.9853000000000001, 0.9854, 0.9855, 0.9856, 0.9857, 0.9858, 0.9859, 0.986, 0.9861, 0.9862, 0.9863, 0.9863999999999999, 0.9865, 0.9866, 0.9867, 0.9868, 0.9869, 0.9870000000000001, 0.9871000000000001, 0.9872000000000001, 0.9873000000000001, 0.9874, 0.9875, 0.9876, 0.9877, 0.9878, 0.9879, 0.988, 0.9881, 0.9882, 0.9883, 0.9884, 0.9885, 0.9886, 0.9887, 0.9888, 0.9889, 0.9890000000000001, 0.9891000000000001, 0.9892000000000001, 0.9893000000000001, 0.9894000000000001, 0.9895, 0.9896, 0.9897, 0.9898, 0.9899, 0.99, 0.9901, 0.9902, 0.9903, 0.9904, 0.9905, 0.9906, 0.9907, 0.9908, 0.9909, 0.9910000000000001, 0.9911000000000001, 0.9912000000000001, 0.9913000000000001, 0.9914000000000001, 0.9915, 0.9916, 0.9917, 0.9918, 0.9919, 0.992, 0.9921, 0.9922, 0.9923, 0.9924, 0.9925, 0.9926, 0.9927, 0.9928, 0.9929, 0.9930000000000001, 0.9931000000000001, 0.9932000000000001, 0.9933000000000001, 0.9934000000000001, 0.9935, 0.9936, 0.9937, 0.9938, 0.9939, 0.994, 0.9941, 0.9942, 0.9943, 0.9944, 0.9945, 0.9946, 0.9947, 0.9948, 0.9949, 0.9950000000000001, 0.9951000000000001, 0.9952000000000001, 0.9953000000000001, 0.9954000000000001, 0.9955, 0.9956, 0.9957, 0.9958, 0.9959, 0.996, 0.9961, 0.9962, 0.9963, 0.9964, 0.9964999999999999, 0.9966, 0.9967, 0.9968, 0.9969, 0.997, 0.9971000000000001, 0.9972000000000001, 0.9973000000000001, 0.9974000000000001, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9984999999999999, 0.9986, 0.9987, 0.9988, 0.9989, 0.999, 0.9991000000000001, 0.9992000000000001, 0.9993000000000001, 0.9994000000000001, 0.9995, 0.9996, 0.9997, 0.9998, 0.9999, 1.0], \\\"y\\\": [0.9444145846346599, 0.9444095768238965, 0.9444179354345199, 0.9444272209124384, 0.9444364174255542, 0.9444440521518456, 0.9444443057311536, 0.9443381989490124, 0.9442204264913188, 0.9442300356801601, 0.9442395440383426, 0.9442475071644714, 0.9442357072371073, 0.9441967155065005, 0.9442055835898331, 0.9442160862960625, 0.9442265890022921, 0.9442369851841199, 0.9442436764376241, 0.9442289698113369, 0.9441933447225146, 0.944195614173001, 0.9442048667012595, 0.9442141192295178, 0.9442214165478895, 0.9442209082566753, 0.9442141653887575, 0.9442118328894271, 0.9441831174366013, 0.9441935914807409, 0.9442040655248806, 0.9442145395690204, 0.9442250098559803, 0.9442256600879453, 0.9442005292717965, 0.9441647101512416, 0.9441720626680921, 0.9441825228315597, 0.9441929829950273, 0.9442034431584947, 0.9442139008788273, 0.9442237850839055, 0.9442265702334692, 0.9442080856934609, 0.9442002648589815, 0.9442075458467278, 0.9442179842444887, 0.9442284226422494, 0.9442362329183355, 0.9442306079186696, 0.9442270162008966, 0.9442226252155379, 0.9442172928731933, 0.9442252084510747, 0.9442356308467604, 0.9442388633295387, 0.9440434945104837, 0.9439442645000788, 0.9439415464289305, 0.9439466642405975, 0.9439571228162434, 0.9439662596281375, 0.9439700422069679, 0.9439576812655257, 0.943958011704574, 0.9439561966629562, 0.9439444692235217, 0.9439380363456437, 0.9439484757970071, 0.9439500821010023, 0.9439372399543462, 0.9439332959609747, 0.9439437296645979, 0.9439541588095517, 0.9439639440998945, 0.9439667397582929, 0.9439503113121919, 0.9439432329622661, 0.9439533496091986, 0.9439632010290786, 0.9439691762116783, 0.9439628010483105, 0.943955818820762, 0.9439625918689518, 0.9439455292671419, 0.9439441820548485, 0.9439295212061087, 0.9439366249488266, 0.9439468104562644, 0.943947185689542, 0.9439422223695175, 0.943943325724673, 0.9439493539471108, 0.9439597417437189, 0.9439701295403271, 0.9439805169300223, 0.9439908945071046, 0.9440001417328316, 0.9440016542067691, 0.9440040395901523, 0.9440015456508293, 0.9440038230611216, 0.9439892082849315, 0.9439839093556741, 0.9439938432644785, 0.944003777173283, 0.9440137110820875, 0.944023644990892, 0.9440335788996965, 0.9440347475462725, 0.9440215006093948, 0.9440039780766085, 0.9439758189053606, 0.9439554155834483, 0.9439510210156248, 0.9439590585667341, 0.9439685324045994, 0.9439780062424648, 0.9439822440225978, 0.9439650323924524, 0.9439452073078914, 0.9439528560801564, 0.9439631752158404, 0.9439734943515246, 0.9439838134872086, 0.9439941326228927, 0.9440044517585768, 0.9440147708942609, 0.944025090029945, 0.9440354009342409, 0.9440456999612652, 0.9440531221490167, 0.9440464027610128, 0.9440141955693768, 0.9440109668583015, 0.9440210269926099, 0.9440310871269183, 0.9440411472612267, 0.9440512073955349, 0.9440609853109673, 0.9440635877621568, 0.9440520844835827, 0.9440233208677823, 0.9440210277589438, 0.9440312552872298, 0.9440415229626555, 0.9440517906380814, 0.9440620576171947, 0.9440722812061128, 0.9440814079630491, 0.9440814268077572, 0.9440607882828163, 0.9440544330437474, 0.9440435869476553, 0.9440450998449048, 0.9440551200788122, 0.9440651403127194, 0.9440752647637416, 0.9440748340958857, 0.9440701341677857, 0.9440697373811489, 0.9440761587900469, 0.9440817237529826, 0.9440573248261921, 0.9440348264231139, 0.9440325353238623, 0.9440260145077879, 0.944030937527648, 0.9440411577393784, 0.9440513779511088, 0.9440615981628392, 0.9440718183745695, 0.9440762809451031, 0.9440781557531024, 0.9440641838477826, 0.9440605468538968, 0.9440535102787486, 0.9440529005306783, 0.9440630982089024, 0.9440732958871267, 0.944083493565351, 0.9440936858929281, 0.9441025594795034, 0.9441037129923177, 0.9440864518891354, 0.944061761661023, 0.944064170766876, 0.9440743413244728, 0.9440845118820698, 0.9440946824396665, 0.9441048529972635, 0.9441150235548604, 0.9441191681467127, 0.944110275575839, 0.9441104019805444, 0.9441205580768604, 0.9441307049811063, 0.944135590419495, 0.944121678017288, 0.9441097787869354, 0.9441157397654784, 0.9441258846441095, 0.9441360295227406, 0.9441461744013719, 0.9441563192800031, 0.9441645875401274, 0.9441535146913332, 0.9441282547850455, 0.944115325720089, 0.9441182426769366, 0.9441283635409705, 0.9441384844050044, 0.9441486052690382, 0.9441587261330722, 0.9441680232558062, 0.9441581621107737, 0.9441174166517419, 0.9440761618490722, 0.9440646935879393, 0.9440745474592658, 0.944084401330592, 0.9440942552019185, 0.9441041090732449, 0.9441139629445713, 0.9441190464119406, 0.9441045062541813, 0.944083397447379, 0.944052544362869, 0.9440425529900527, 0.9440526522229431, 0.9440627514558335, 0.9440728506503424, 0.944082838826643, 0.9440784615097532, 0.9440607633325402, 0.944026434966478, 0.9440163948392983, 0.9440262711422187, 0.9440363509151326, 0.9440464306880464, 0.9440565104609603, 0.9440665902338742, 0.9440766700067881, 0.9440865059373017, 0.9440900792738155, 0.9440838837068917, 0.9440847095280434, 0.9440884609864395, 0.9440855794612306, 0.9440704374863351, 0.9440644059459596, 0.9440694700932614, 0.9440670657376344, 0.9440691830469802, 0.94407923102308, 0.9440892789991798, 0.9440993247269032, 0.944108440532009, 0.9441132921677795, 0.944107394273471, 0.9441021243964487, 0.9441033929606617, 0.9440989364089157, 0.9440881561751387, 0.944093994640959, 0.9441040174121854, 0.9441140401834118, 0.9441238725679086, 0.9441306644357672, 0.9441270195323657, 0.9441220064565271, 0.9441271362899947, 0.9441253898180885, 0.9441225771837821, 0.9441270804219188, 0.9441346680888236, 0.9441338227623961, 0.9441251798639847, 0.944121494761747, 0.9441255905212778, 0.944118264623564, 0.9441142865182364, 0.9441242707864709, 0.9441342550547054, 0.94414423932294, 0.9441542182893892, 0.9441622073795142, 0.9441709378544796, 0.9441787408179771, 0.9441759176859452, 0.9441646955500991, 0.9441555923927988, 0.9441476170159844, 0.9441442195292513, 0.9441541743486724, 0.9441641291680937, 0.9441740839875149, 0.944184038806936, 0.9441939936263573, 0.9442039460979726, 0.944206594455244, 0.9441970905830703, 0.9441793194691449, 0.9441629422543754, 0.9441603268280834, 0.9441656720170674, 0.944173680202452, 0.9441816883878367, 0.9441896965732213, 0.9441977047586059, 0.9441950680219359, 0.9441801507049601, 0.944151710360863, 0.9441329532196816, 0.9441048320991191, 0.9441107583713175, 0.9441206807975036, 0.9441306032236898, 0.9441404871971468, 0.9441495308893475, 0.9441454598956749, 0.9441372124897862, 0.9441294744607889, 0.9441023046818053, 0.9440830090489163, 0.9440790306232536, 0.9440763735936547, 0.9440805182559495, 0.944090424087347, 0.9441003299187445, 0.9441102357501419, 0.9441193439683754, 0.9441208539140461, 0.9440939879340421, 0.944060093418537, 0.9440539461468729, 0.9440538541990473, 0.9440637466317554, 0.9440736390644633, 0.9440835314971714, 0.9440934239298795, 0.9440999679661168, 0.944087222015304, 0.94406359695529, 0.9440509376600306, 0.9440239746717933, 0.9440197538284838, 0.9440195932955832, 0.9440194327626825, 0.9440066149039488, 0.9440164943153753, 0.9440252635767412, 0.9440246909150223, 0.9440206462926602, 0.9440305215464332, 0.9440403968002062, 0.9440502676512967, 0.9440517783666433, 0.9440474379318993, 0.9440562287590166, 0.944059977753203, 0.9440629858230589, 0.9440520447194496, 0.9440478263159451, 0.9440447220152648, 0.9440374815149016, 0.944040585828285, 0.9440318417153901, 0.944034904537989, 0.9440447401044021, 0.9440545756708151, 0.9440640713497944, 0.9440712137165822, 0.9440719112467819, 0.9440706792298208, 0.944080505692274, 0.9440901949450478, 0.9440975945458822, 0.9440832270364924, 0.9440666290550036, 0.9440668053873833, 0.9440491658111406, 0.9440398836784156, 0.9440495630971224, 0.944059242515829, 0.9440629009855286, 0.9440557741768811, 0.9440654478271024, 0.9440751214773238, 0.9440848793048632, 0.944092526733485, 0.9440937418015903, 0.9440711680580731, 0.9440613907927724, 0.9440595526322815, 0.9440693304078018, 0.9440791081833222, 0.9440888859588425, 0.9440986637343629, 0.9441084415098833, 0.9441182192854036, 0.944127997060924, 0.9441377748364443, 0.9441475526119647, 0.9441573303874851, 0.9441670986835679, 0.9441768145016282, 0.9441858911146709, 0.9441715857104017, 0.9441515701030916, 0.9441466813694168, 0.944133545259211, 0.9441410660172632, 0.944150006788689, 0.9441589475601146, 0.9441678883315403, 0.944176829102966, 0.9441857698743916, 0.9441848249267616, 0.944164991543424, 0.944167323291752, 0.9441765497953343, 0.944185699588111, 0.9441855097327613, 0.9441334256462824, 0.9441054830765381, 0.9441127779031013, 0.9441224945718711, 0.9441322112406407, 0.9441417328204316, 0.9441499984067077, 0.944155757158386, 0.9441396648451411, 0.9441346456089836, 0.94414423924411, 0.9441535591977159, 0.9441610264015705, 0.9441628350670491, 0.9441637090848776, 0.9441535509801307, 0.9441548313730745, 0.9441365770614999, 0.9441303171909414, 0.9441399666295902, 0.9441494104992345, 0.9441571858595381, 0.9441563379814918, 0.944165983789133, 0.9441756295967739, 0.9441821809653668, 0.9441760475205123, 0.9441726575585685, 0.9441699774852205, 0.9441663765374575, 0.9441705919620149, 0.9441692982725215, 0.9441789589179852, 0.944188619563449, 0.9441982778465285, 0.9442061792678, 0.9442085556222808, 0.9442051814792156, 0.944196629369664, 0.9442001180672852, 0.9441924025263735, 0.9441899654904599, 0.9441965158717787, 0.9442061550432628, 0.9442080909740966, 0.9441904399312213, 0.9441809553929323, 0.944189882269211, 0.9441964587189466, 0.9441957334055876, 0.9441864926658784, 0.9441952962443125, 0.9442048765341726, 0.9442144007758745, 0.9442207835482097, 0.944214575868016, 0.9442063479664893, 0.9442061056994426, 0.9441908626936879, 0.9441838421137054, 0.9441930673190132, 0.9441996567617141, 0.9441890392285452, 0.9441830342401114, 0.9441923315718808, 0.9442000416542189, 0.9441966482307431, 0.9441957842024554, 0.9441950991041143, 0.9441947994663968, 0.9441823744138127, 0.9441919102729129, 0.9442012812232841, 0.9442070488088834, 0.9442050676822904, 0.9441943336540541, 0.9441858173777401, 0.944182283918084, 0.9441664572094932, 0.9441760331296318, 0.9441856090497707, 0.9441914649869927, 0.9441739728432399, 0.9441576859298542, 0.9441672591596357, 0.9441768323894173, 0.9441864004939575, 0.9441897666612931, 0.9441932324021683, 0.9441811560228726, 0.9441686809796376, 0.9441755517773189, 0.9441851025564971, 0.9441904708018365, 0.9441865464085859, 0.9441872904097113, 0.9441960786239388, 0.944205624255171, 0.9442151698864032, 0.9442247149145595, 0.9442324655423642, 0.9442349023267771, 0.944223793573655, 0.9442105475226958, 0.9442131580527907, 0.9442217114043534, 0.9442302647559162, 0.944238818107479, 0.94424028312707, 0.9442274660429312, 0.9442252837106283, 0.9442168127306163, 0.9442225936692197, 0.9442320284250463, 0.9442414631808727, 0.9442508979366993, 0.9442603326925256, 0.9442697574592849, 0.9442762835796834, 0.9442773811387168, 0.9442686338634245, 0.9442593203797237, 0.9442584679240615, 0.9442679515113747, 0.9442774350986878, 0.9442869186860008, 0.9442964014896824, 0.9443044769029478, 0.9443001617687728, 0.944269236947175, 0.9442652277810448, 0.9442610267612319, 0.944269404957262, 0.944277783153292, 0.9442861613493219, 0.944294539545352, 0.944302917741382, 0.9443112736970771, 0.9443190809559814, 0.9443216973637665, 0.9443210518572358, 0.9443278512626949, 0.9443307440838371, 0.9443267548305581, 0.9443270868387577, 0.9443287124412321, 0.9443351537944766, 0.9443388474209526, 0.9443351219993698, 0.9443385647481704, 0.9443427338073412, 0.9443521637294954, 0.9443598791406603, 0.9443680571805153, 0.9443659712492627, 0.9443625583888731, 0.9443644134171659, 0.9443598337750079, 0.9443544563111272, 0.9443636338122827, 0.9443729402242333, 0.9443823452565328, 0.9443917502888322, 0.9444011553211314, 0.9444089598546717, 0.9444183545136539, 0.9444277437141031, 0.9444326773846143, 0.9444262334845004, 0.9444014746114867, 0.9443961505169394, 0.9444055325534588, 0.9444149145899783, 0.9444242966264977, 0.9444257953613392, 0.9444349065532229, 0.9444406748115695, 0.9444418359113489, 0.9444316417528416, 0.9444260941610776, 0.9444331802913988, 0.9444424534342206, 0.9444517265770425, 0.9444609997198643, 0.9444613807534299, 0.9444328404925666, 0.9444345751953039, 0.9444417161860995, 0.9444446982089081, 0.9444466285621309, 0.9444501395822087, 0.9444491049194418, 0.9444581203936939, 0.9444670035047096, 0.9444727492622362, 0.9444690512617973, 0.9444677444897354, 0.9444768642629933, 0.9444737397163068, 0.9444702166827279, 0.944476633187775, 0.9444858351778458, 0.9444950371679168, 0.9445042391579876, 0.9445134411480587, 0.9445226431381296, 0.9445318407174352, 0.9445334129174585, 0.9445236231702234, 0.9445013540087266, 0.9444818545824655, 0.9444825017082203, 0.944491052577636, 0.9444812907765601, 0.9444624294267538, 0.9444621642513724, 0.9444707514396276, 0.9444786696540266, 0.9444835382793129, 0.9444809590360217, 0.9444791733110647, 0.9444874923710408, 0.9444913663019097, 0.9444693807792546, 0.944426344332959, 0.9444135525437832, 0.9444228396481726, 0.9444321267525622, 0.9444385972764414, 0.9444159203638951, 0.944407736105834, 0.9444170180801739, 0.9444257621948682, 0.9444305240882169, 0.9444292620837085, 0.9444336934122171, 0.9444429641814589, 0.9444522335127173, 0.9444614975622365, 0.944470759978435, 0.9444792067129436, 0.9444827520619281, 0.9444807218653146, 0.9444382035848857, 0.9444195211781153, 0.9444287790330741, 0.9444380368880329, 0.9444467713394208, 0.9444350761174762, 0.9444108509706435, 0.9443841614234492, 0.9443724869407999, 0.9443817378645568, 0.9443909887883137, 0.9444002397120707, 0.9444094906358276, 0.9444187369507729, 0.9444278019218617, 0.9444241143597252, 0.9444172674560933, 0.944389387115816, 0.9443832098092528, 0.9443910827824464, 0.9443998288211467, 0.944408574859847, 0.9444173208985471, 0.9444086186737162, 0.944397055198678, 0.9444052567581874, 0.9444113919770157, 0.9444204428716529, 0.9444294937662903, 0.9444323298427383, 0.944422998520368, 0.9443983184956897, 0.9443734141583076, 0.9443701346959235, 0.9443754027396105, 0.9443846136565558, 0.944393824573501, 0.9443991274542978, 0.9444012190887839, 0.9443915177444508, 0.9443947177141219, 0.9443999400374156, 0.9443957264291383, 0.9443861504442768, 0.9443839828262557, 0.9443928466590534, 0.944401710491851, 0.9444105705081958, 0.9444145618230472, 0.9444094435561701, 0.9444017954288322, 0.9443980394544464, 0.9444069254254035, 0.9444158113963607, 0.9444246973673178, 0.9444335833382749, 0.9444413194918994, 0.9444458320075411, 0.9444414738663622, 0.944416206265087, 0.9443915890233952, 0.9443921407243661, 0.944401299653522, 0.9444104585826782, 0.9444196175118342, 0.9444204088603152, 0.9444131291020754, 0.9444185332515909, 0.9444249371337081, 0.9444324694478552, 0.9444346360799248, 0.9444271429716157, 0.9444160528470532, 0.944399557522106, 0.9444017084369434, 0.9444095579452649, 0.9444123201434151, 0.9444085586343561, 0.9444051426379353, 0.9444114841632154, 0.9444055353385705, 0.9444068773698631, 0.9444062657427595, 0.9444053825732305, 0.9444076373065835, 0.9444166371407061, 0.944425636974829, 0.9444346368089517, 0.9444436351544137, 0.944449939692835, 0.9444379083793915, 0.9443979956830932, 0.9443707025977848, 0.9443726520854014, 0.9443817641539117, 0.944390876222422, 0.9443999882909322, 0.9444083358120519, 0.9443997915207427, 0.9443857052225937, 0.9443948124413404, 0.9444039196600872, 0.944413026878834, 0.944422128300572, 0.9444310853208011, 0.9444385963870768, 0.9444372111305186, 0.9444239699982757, 0.944418518119968, 0.9444264430027074, 0.9444259788968269, 0.9444154181202451, 0.9444104705529319, 0.9444160904899099, 0.9444251711843227, 0.9444212365390081, 0.9444260740090759, 0.9444288021705487, 0.9444319695273053, 0.9444410421527272, 0.9444501094222745, 0.9444569527306068, 0.9444570492665814, 0.9444496191264522, 0.9444549059710006, 0.94445226899825, 0.9444412470130943, 0.9444401022405805, 0.9444491545614531, 0.9444582068823257, 0.9444672592031984, 0.944476311524071, 0.944484700429919, 0.9444823297256879, 0.9444676409859079, 0.9444654212025496, 0.9444669982573568, 0.9444469892985443, 0.9444559582022903, 0.9444649271060362, 0.9444738960097823, 0.9444828649135282, 0.9444840015073269, 0.9444691784306917, 0.9444589100967395, 0.9444606676956557, 0.9444404417604244, 0.9444199314038004, 0.9444216523126682, 0.9444305804076003, 0.9444395085025323, 0.9444484786577878, 0.9444556562475451, 0.944437422915231, 0.9444073112549994, 0.9444017226179815, 0.9444107420551655, 0.9444197614923495, 0.9444287748670701, 0.9444375721150078, 0.9444441856320509, 0.9444348045897736, 0.9444252975998779, 0.9444192318147053, 0.94439578780168, 0.9443904398171752, 0.9443982231539196, 0.9444071379019123, 0.9444160526499049, 0.9444249673978975, 0.9444321449714534, 0.9444354989568311, 0.9444297676084124, 0.9444241653710734, 0.9444328405982907, 0.9444367861017746, 0.9444334956461539, 0.9444280159298866, 0.944429643740551, 0.9444386180696384, 0.9444475888113453, 0.9444501515503552, 0.944435439028434, 0.9444164721623534, 0.9444169983478523, 0.9444250680447552, 0.9444340392614003, 0.9444430104780456, 0.9444519793711762, 0.9444609400997264, 0.9444579132565916, 0.9444266458748273, 0.9444154963432778, 0.9443999283020265, 0.9443964423476536, 0.9444028485416065, 0.9444110688444922, 0.9444192593923189, 0.9444227482759376, 0.9444209628223283, 0.9444084014198676, 0.9443999118759536, 0.9444022375406214, 0.9443927542880672, 0.9444016927159384, 0.9444106311438099, 0.9444195695716813, 0.9444285079995527, 0.9444374464274239, 0.9444364106335073, 0.9444412771896566, 0.9444312957050993, 0.9444364431549261, 0.9444390854613691, 0.9444228671241871, 0.9444133551870224, 0.944421669032804, 0.9444262993765244, 0.9444227219898269, 0.9444291147013586, 0.9444188682520752, 0.9444150613529051, 0.9444239754632384, 0.9444328895735719, 0.9444417981277207, 0.944445179434029, 0.9444295960808976, 0.9444239548730793, 0.9444325458931291, 0.9444377309347494, 0.9444297242811001, 0.9444128010539208, 0.9444212361403973, 0.9444296384759603, 0.9444345021944252, 0.9444317040278302, 0.9444256719949166, 0.9444275838087443, 0.9444349941459871, 0.9444420666480907, 0.9444402100380005, 0.9444384237816537, 0.94444567416327, 0.9444545540205751, 0.94445948759987, 0.9444518212614782, 0.9444376877785343, 0.944439476041691, 0.9444431844177961, 0.9444407514276204, 0.9444354082881522, 0.9444442767522805, 0.9444531452164087, 0.9444344064436213, 0.9444069911959563, 0.9443735977541348, 0.9443784382539278, 0.9443872647709479, 0.944396091287968, 0.944404917804988, 0.944413744322008, 0.9444225708390281, 0.9444313973560482, 0.9444402238730683, 0.9444488941710698, 0.9444530342857812, 0.9444522214082935, 0.9444509228462836, 0.9444478600666728, 0.9444461491955574, 0.9444416821886485, 0.9444483506241015, 0.9444571836366596, 0.9444660166492178, 0.9444729521075226, 0.9444753558381607, 0.9444697253888255, 0.9444594333365377, 0.9444537562282914, 0.9444456863343662, 0.9444545034256637, 0.9444633205169611, 0.9444721376082585, 0.9444809546995561, 0.9444897698890886, 0.9444974799376638, 0.9444975681620033, 0.9444861396630846, 0.9444797974745526, 0.9444770838473431, 0.9444764610043921, 0.944470532246752, 0.944479255876679, 0.9444879795066061, 0.9444967031365331, 0.9445047733597207, 0.9445092046180488, 0.9445056174910165, 0.9445024488344763, 0.9445111719625414, 0.9445133761540803, 0.9445058801689821, 0.9445041116526824, 0.9445121702346091, 0.9445143643768565, 0.9445107063144753, 0.9444978900953801, 0.9444849696535922, 0.9444800552334125, 0.9444747472485497, 0.944483115663031, 0.9444914840775123, 0.9444983136482763, 0.944506674983302, 0.9445150363183276, 0.9445169404972868, 0.9444950001259966, 0.9444750864907077, 0.9444602371490436, 0.9444662199191008, 0.9444722026891581, 0.9444781854592152, 0.94445812455174, 0.9444574448888647, 0.944463422908026, 0.944460794008831, 0.9444345464996989, 0.9444314543663889, 0.9444396617409414, 0.9444450991300624, 0.9444373728226275, 0.944443273801474, 0.9444514778724424, 0.9444596819434107, 0.9444525788738571, 0.9444457215828668, 0.9444539255783555, 0.9444565872782147, 0.9444419062663694, 0.944430972193951, 0.9444397069447302, 0.9444484416955095, 0.9444571764462886, 0.9444659077261549, 0.9444635240561652, 0.9444722465480664, 0.9444780895014134, 0.9444630752765396, 0.9444084814356545, 0.9443548178801555, 0.9443635416344374, 0.9443722653887194, 0.9443809891430015, 0.9443897128972836, 0.9443984366515655, 0.9444071604058475, 0.9444158841601296, 0.9444246079144116, 0.9443761563257929, 0.9443407165146299, 0.94430894079694, 0.9443000623767122, 0.9443087818905462, 0.9443175014043802, 0.9443262209182142, 0.9443349404320482, 0.9443436570625092, 0.944349475934076, 0.9443501964182655, 0.9443409381383283, 0.9443358917249987, 0.9443318331281887, 0.9443402306048826, 0.9443489342067972, 0.9443380526751447, 0.9442928586643016, 0.944253625524407, 0.9442544958244765, 0.9442631010998476, 0.9442717063752186, 0.9442803116505898, 0.9442889169259608, 0.9442975222013319, 0.9443061274767031, 0.9443147327520742, 0.944323332561081, 0.9443242296363981, 0.9443132275208302, 0.9442979881233786, 0.9442955369924713, 0.9443040599509349, 0.9443125829093986, 0.9443211058678622, 0.9443296288263259, 0.9443381517847895, 0.9443329753914171, 0.9443027156955107, 0.9442843495924396, 0.9442836840403057, 0.9442922859631273, 0.9443008878859491, 0.9443094898087707, 0.9443085907057748, 0.9442736499790803, 0.9442456658294905, 0.9442466009011712, 0.9442552621868514, 0.9442639234725316, 0.944272584758212, 0.9442812460438921, 0.9442899073295723, 0.9442969040766522, 0.944294589541254, 0.9442800276593675, 0.944265729914413, 0.9442743690658812, 0.9442827561418733, 0.944270721633498, 0.9442602552911508, 0.9442518296314009, 0.9442307482745609, 0.9442354984421188, 0.9442379177624826, 0.9442288028373513, 0.9442180349209801, 0.9442248986382771, 0.944233539691594, 0.9442421807449108, 0.9442508205319116, 0.9442588058212085, 0.9442623433054367, 0.9442575116679892, 0.9442464571483664, 0.9442549196089718, 0.9442633820695773, 0.9442704386152925, 0.9442668193608414, 0.9442566796012243, 0.9442570776949434, 0.9442454575142425, 0.9442320574454329, 0.9442252112806052, 0.9442211349004785, 0.944220625845972, 0.9442235768734867, 0.944232194580295, 0.944239835691045, 0.9442428849689211, 0.9442358698687618, 0.9442177753001331, 0.9442083358757268, 0.9442123304116445, 0.9442056098728594, 0.9441961152407647, 0.9442047222918668, 0.9442133279374186, 0.9442202035777378, 0.9442172472891809, 0.9442142005043667, 0.9442110866128328, 0.944217012314059, 0.9442186486147599, 0.944220563472165, 0.9442233343016465, 0.9442173675602661, 0.9442061764584554, 0.9442085851318218, 0.9442035329975014, 0.944192294089788, 0.9441929872820043, 0.9442015714489773, 0.9442101525726705, 0.9442138177638795, 0.9442096485869848, 0.9442056212576897, 0.9442099583529021, 0.9442185338171701, 0.9442271090459002, 0.9442356778244406, 0.9442356831038339, 0.9442325540279655, 0.9442277807838758, 0.9442180857525495, 0.9442252597937116, 0.944232716283095, 0.9442331465324483, 0.9442260387783394, 0.9442233277501931, 0.9442230556491271, 0.9442316104772628, 0.9442401653053984, 0.9442487162483095, 0.9442572637895408, 0.9442643676163655, 0.9442649161712241, 0.9442594387334239, 0.9442531097276619, 0.9442479049454098, 0.9442479801439376, 0.9442469933753819, 0.9442239806218539, 0.944211887353561, 0.9442114912920554, 0.9442176266336177, 0.9442261627910018, 0.944234698292933, 0.9442429546251538, 0.944245900275305, 0.9442386165638781, 0.944236632779624, 0.9442390453571545, 0.9442384852090602, 0.9442364839615982, 0.9442422976565795, 0.9442508142150985, 0.9442593276280087, 0.9442566392272426, 0.9442478424795873, 0.9442492598448213, 0.9442577692542113, 0.9442662786636014, 0.9442747879417324, 0.9442832911717479, 0.9442888481285796, 0.9442821294736525, 0.9442587325710241, 0.9442422895709415, 0.9442081729672569, 0.9442157533007901, 0.9442233336343233, 0.9442309139678566, 0.94423849430139, 0.9442444468021405, 0.9442391349680392, 0.9442210537873041, 0.944229544589168, 0.9442380353910318, 0.9442464251623142, 0.9442543893325659, 0.9442604803325885, 0.9442580318165608, 0.9442421741726541, 0.9442388193246423, 0.9442337693107559, 0.9442422457507411, 0.9442470346521835, 0.94424799771366, 0.9442404090326566, 0.9442320662702282, 0.9442349629963247, 0.9442422158952009, 0.9442417204857447, 0.9442402181202908, 0.9442238958962423, 0.9442323615134554, 0.9442408271306683, 0.9442384435249787, 0.944240504495818, 0.9442238983580599, 0.9442286153995291, 0.9442321394992366, 0.9442244424604653, 0.9442086539455558, 0.944202471622715, 0.9442097600378472, 0.944212664544759, 0.9442083436815671, 0.9441751525821995, 0.9441628520249774, 0.944167830396236, 0.9441762796725468, 0.9441847289488579, 0.9441931782251689, 0.9442014472987312, 0.9442095216511517, 0.9442174305597573, 0.9442220280692029, 0.9442234616105136, 0.9442206762749268, 0.9442031321310203, 0.9442063428409031, 0.9442103941838034, 0.9442099581984691, 0.9442037836700197, 0.9442045918092847, 0.9442130168621994, 0.9442189466295423, 0.9442102499633698, 0.9441812405041012, 0.9441539247872681, 0.9441435445812489, 0.9441519716307527, 0.9441601826860785, 0.9441674795813408, 0.9441704474599744, 0.9441607702783965, 0.9441504356662802, 0.9441286337233303, 0.9441122495754986, 0.9440999212444614, 0.9440883874905535, 0.9440911941469405, 0.9440996130040606, 0.9441080318611808, 0.9441145154982372, 0.9441107076816023, 0.9441014901232152, 0.9440958394477978, 0.9440758530525656, 0.9440502682489693, 0.9440557505789675, 0.9440639244672469, 0.9440720983555262, 0.9440802722438055, 0.9440884461320849, 0.9440859277543001, 0.9440654483357154, 0.9440349112974978, 0.944022051267912, 0.9440159699260132, 0.9440211085805954, 0.9440291490121873, 0.944037189443779, 0.9440452298753708, 0.9440532255966446, 0.9440592646045445, 0.9440425440602696, 0.9440234655240002, 0.9440136083452811, 0.9440199713483477, 0.9440280440826253, 0.9440361168169029, 0.9440441895511804, 0.9440483595519125, 0.944043500945023, 0.9440342825467805, 0.9440213887741651, 0.9440156454764155, 0.944008393352583, 0.9440110145261602, 0.9440193925490483, 0.9440185945709327, 0.9440084065964123, 0.9440127724261151, 0.9440211474379028, 0.9440275511427053, 0.944011073021884, 0.9440019256745369, 0.9439970867795944, 0.943995974328544, 0.9440043127933334, 0.944012651258123, 0.9440155038806677, 0.9440147702166186, 0.9440231002434989, 0.9440216008012158, 0.9440174922619022, 0.9440258233744128, 0.9440341544869233, 0.9440424855994339, 0.9440508167119445, 0.9440582157157189, 0.9440577900864486, 0.9440442503659594, 0.9440351648187051, 0.9440424797555562, 0.9440282431153294, 0.9440365827599955, 0.9440333454217986, 0.9440217894607065, 0.9440141196486396, 0.9440008146974642, 0.9439516790376603, 0.9439599251676487, 0.943968261622371, 0.9439569698971663, 0.9439340306575275, 0.9439423672137208, 0.9439507037699144, 0.9439590403261078, 0.9439673768823014, 0.9439757134384947, 0.9439840499946883, 0.9439923865508818, 0.9440007191578279, 0.9440076340813828, 0.9440057353411753, 0.943984124391373, 0.9439623308226908, 0.9439706473114224, 0.9439789638001542, 0.9439872802888859, 0.9439921962605611, 0.9440005053360683, 0.9440088144115755, 0.9440166824121186, 0.9439859323297874, 0.943958492590576, 0.9439568647593778, 0.9439651662988453, 0.943973467838313, 0.9439817693777806, 0.9439900709172482, 0.9439983724567158, 0.9440066739961833, 0.944014975535651, 0.9440232770751186, 0.9440312931815908, 0.9440383740918814, 0.9440372074334564, 0.9440087233735908, 0.9439875151805903, 0.9439670320860634, 0.9439717000461666, 0.9439799865802783, 0.9439882731143899, 0.943995654907732, 0.9439954160021846, 0.9439906226531111, 0.9439853566993099, 0.9439825111343991, 0.943985530340774, 0.9439900162567068, 0.9439925436165165, 0.9439851955945868, 0.9439918190487787, 0.9439997965788018, 0.9440021582421882, 0.9439995890712876, 0.943993302416755, 0.9439918612886402, 0.9439988890348325, 0.9440010628338217, 0.9439995762352928, 0.9439867005749576, 0.9439880253861195, 0.9439962846076884, 0.9439994900230948, 0.9439844191400333, 0.9439706189191929, 0.9439728499211673, 0.9439788329642658, 0.9439818454757538, 0.9439745708608442, 0.9439572184529017, 0.9439519202901678, 0.9439497404334753, 0.9439395379720641, 0.9439347763106989, 0.9439352464126102, 0.9439394843050204, 0.9439437221974306, 0.9439386516115512, 0.9439222371486001, 0.9439122467296645, 0.9439063985236807, 0.9438900298626647, 0.9438762108238519, 0.943878881632471, 0.943886149921235, 0.9438931636936951, 0.9438918860903353, 0.9438260399448195, 0.9437922514384496, 0.9437867000369062, 0.9437949413665654, 0.9438031855689567, 0.943811429771348, 0.9438196739737392, 0.9438228815131082, 0.9438176812087021, 0.9437997729205316, 0.9437711730750331, 0.9437535916390618, 0.9437616091727365, 0.9437696267064114, 0.943777644240086, 0.9437856617737609, 0.9437936793074357, 0.9438011823923581, 0.9437999726649327, 0.9437707068601778, 0.9437425057387161, 0.9437504858885962, 0.9437534297402327, 0.9437504743894654, 0.9437443127589191, 0.9437423621491361, 0.9437505873639057, 0.9437588125786754, 0.943766923206116, 0.9437707282881604, 0.9437543671700994, 0.9437449299454155, 0.9437049234920657, 0.9437084275263128, 0.9436976513853295, 0.9437053389077596, 0.943713504975858, 0.9437216710439564, 0.943729837112055, 0.9437365601132496, 0.9437109585220411, 0.9436767156832435, 0.9436404286345083, 0.9436395773146498, 0.9436475515538993, 0.9436555257931487, 0.9436627635555939, 0.9436580014451033, 0.9436416593723083, 0.9436374689712517, 0.9436223700548094, 0.9436222065476709, 0.9436304130178439, 0.9436386194880169, 0.9436468259581899, 0.9436547484230722, 0.9436595262201777, 0.943653127598377, 0.9436451479632095, 0.9436496232220415, 0.9436480830895192, 0.9436405408832462, 0.943636414151304, 0.943644600313113, 0.943652786474922, 0.9436609726367311, 0.9436691587985402, 0.9436773449603493, 0.9436855166099256, 0.9436934900744426, 0.9437015984373631, 0.9437056224536742, 0.9437094611980423, 0.9437106430102409, 0.9437008112978924, 0.9436890534469268, 0.9436895468930246, 0.9436817521583574, 0.9436774136323361, 0.9436853545099262, 0.9436932953875161, 0.943701236265106, 0.943709177142696, 0.9437157329243304, 0.9437190751682993, 0.943715222822479, 0.9437150056798633, 0.9437150726418179, 0.9437023153111459, 0.9437003135985089, 0.9437084631350067, 0.9437166104004093, 0.9437247560244617, 0.9437303214505822, 0.9437257993029389, 0.9437091621932441, 0.9436994130567795, 0.9436968222972713, 0.9436944761862494, 0.9437026149695333, 0.9437059211254211, 0.9437039300768176, 0.9437007956386538, 0.9437031347049463, 0.943710080083804, 0.9436978980043476, 0.943681754034652, 0.9436864812518486, 0.9436935430035907, 0.9437006047553327, 0.9437076665070747, 0.9437147282588165, 0.9437109584812459, 0.9437029939867047, 0.9436995876053818, 0.9437071751655182, 0.9436977251926026, 0.9436857867847266, 0.9436773527044711, 0.9436818135637682, 0.9436895801230734, 0.9436973466823787, 0.9437051132416838, 0.9437128778789838, 0.9437191336164056, 0.9437063908384646, 0.9436707236809003, 0.9436683405223103, 0.9436755889019928, 0.9436828372816752, 0.9436900856613576, 0.9436920985607435, 0.9436872840483714, 0.9436787862708707, 0.9436719037923423, 0.9436721485099584, 0.9436732197561265, 0.9436700384383759, 0.9436457813179528, 0.9436168690537126, 0.9435961362513352, 0.9435858759827616, 0.9435780312109123, 0.9435761211756116, 0.943581548477418, 0.9435753756247974, 0.9435566937617179, 0.9435483410874499, 0.943541296933796, 0.9435440811523773, 0.9435295499085992, 0.9435331383458994, 0.9435412334860419, 0.9435493266117199, 0.9435546990647969, 0.9435464857971596, 0.9435227295213853, 0.9435130115008934, 0.9435070138929624, 0.9435126307022306, 0.943520646866394, 0.9435239927484524, 0.9435132859071975, 0.9435023089809005, 0.9435023622506695, 0.9435104401982111, 0.9435141884574756, 0.9435002676843505, 0.9434914874956389, 0.9434995656921497, 0.9435076438886604, 0.943515722085171, 0.9435189615421122, 0.9435128458812547, 0.9435005643581333, 0.9434854430884785, 0.9434721290221328, 0.9434796632021916, 0.9434871973822503, 0.943494731562309, 0.943485792400217, 0.9434874243851425, 0.9434899784004043, 0.9434976157198598, 0.9434994402693802, 0.9434950325650323, 0.9434608078599427, 0.943448032392048, 0.9434368782805722, 0.9434449391757078, 0.9434526379822887, 0.9434571797035445, 0.9434346947306822, 0.9434178379861526, 0.9434252049228375, 0.9434332611836054, 0.9434343023521882, 0.943419343389987, 0.9434109654470111, 0.9434190201459842, 0.9434270724661717, 0.9434214152193418, 0.9433830153968279, 0.9433710991055426, 0.9433644346403656, 0.9433724858434371, 0.9433805370465087, 0.9433860661390375, 0.9433743593961859, 0.9433551717116366, 0.9433632210884766, 0.9433626516783729, 0.9433563992099614, 0.9433553827489354, 0.9433632899522308, 0.9433713329215561, 0.943379374361095, 0.943383778580703, 0.9433756175823821, 0.9433715001309192, 0.9433677904014589, 0.9433714269606253, 0.9433651255178421, 0.9433515908813638, 0.9433594758053725, 0.9433660000463744, 0.9433687344585647, 0.9433502010963198, 0.9433088940868397, 0.943306707826906, 0.9433143575361254, 0.9433220072453448, 0.9433296569545642, 0.9433262747527791, 0.9433183782119894, 0.9433027218763501, 0.943309485050571, 0.9433170971933478, 0.9433247093361243, 0.9433323214789011, 0.9433399190705859, 0.9433465051967314, 0.9433433613711937, 0.9433372832216601, 0.9433226877644922, 0.9433191801963029, 0.9433068446201807, 0.9433002615685129, 0.9433074426210699, 0.943314623673627, 0.943321804726184, 0.943328553996116, 0.9433257636269644, 0.9433231088259332, 0.9433195430336129, 0.9433262388325101, 0.9433274210296934, 0.9433229285479008, 0.9433105337270644, 0.9433143401804972, 0.943322332729857, 0.9433303252792169, 0.9433383178285767, 0.9433463089918637, 0.9433510247937212, 0.9433422601645796, 0.9433385127250831, 0.9433202837494898, 0.9433093819320676, 0.9433060402965341, 0.9433079808827738, 0.9433159617168478, 0.943320095524308, 0.9433171658702086, 0.9433132525446704, 0.9433111330647029, 0.9433128460458728, 0.9433190088756753, 0.9433182621674054, 0.9433109702536586, 0.9433118048618987, 0.9433093092489299, 0.9433172740633318, 0.9433252388777336, 0.9433329813476856, 0.9433391644145597, 0.9433360749482987, 0.9433298436279766, 0.9433286746443723, 0.9433351363959986, 0.9433430714059855, 0.9433510064159724, 0.943358940162718, 0.9433658180226507, 0.9433626024787622, 0.943361266537881, 0.9433575932441158, 0.9433528298473213, 0.943358744634488, 0.9433666662423064, 0.9433745878501245, 0.9433825094579428, 0.943388256082597, 0.9433822160520844, 0.9433669158660629, 0.9433581180443309, 0.94336513041522, 0.9433721427861088, 0.9433791551569978, 0.943380850593884, 0.9433541685634288, 0.943322961178835, 0.9433075195019224, 0.9433119843868301, 0.9433197550327774, 0.9433275256787247, 0.943335296324672, 0.9433388013194064, 0.9433078881936531, 0.9432717493288172, 0.9432664462360656, 0.9432722081701328, 0.9432801294926305, 0.9432880508151282, 0.9432959721376262, 0.9433038934601239, 0.9433118147826216, 0.9433067192337099, 0.9432987331208649, 0.9433030694388533, 0.9433099606507631, 0.9433120995784432, 0.9433145289077159, 0.9433079511089628, 0.9432836936123448, 0.9432915741744957, 0.9432933106675025, 0.9432775019350652, 0.9432508594934202, 0.9432262230911849, 0.9432086138769527, 0.9431981824606739, 0.9432039467935593, 0.9432097111264447, 0.9432154754593303, 0.9432037474907877, 0.9431886504074645, 0.9431937874804199, 0.9432015817652966, 0.9432093760501732, 0.9432171703350498, 0.9432249646199267, 0.9432305040898699, 0.9432298027559367, 0.943222106532259, 0.9432171159346772, 0.9432125023984999, 0.9432040584119905, 0.9432118416656089, 0.9432193038784494, 0.9432239683990353, 0.9432202582399289, 0.943225691552275, 0.943233582358028, 0.9432400228273856, 0.9432410479693321, 0.9432365850283839, 0.9432273883161688, 0.9432244748189708, 0.943204082470453, 0.9431994022703956, 0.9432072788667518, 0.9432151528772141, 0.9432203009918583, 0.9432174990013802, 0.9431923982070212, 0.943173622773273, 0.9431814994818932, 0.9431893761905137, 0.943195912387629, 0.943194435647986, 0.9431863346777578, 0.9431786439229728, 0.9431799101039497, 0.9431865537069515, 0.9431944212039414, 0.9432008280087381, 0.943199742087223, 0.9431881530517872, 0.9431753431985073, 0.9431597666917413, 0.9431502226620463, 0.9431448782221727, 0.9431527366877597, 0.9431605951533466, 0.94316845047982, 0.9431756998166526, 0.9431800518975488, 0.94318790644934, 0.9431957610011313, 0.943203612524018, 0.9432034192463541, 0.943189820225758, 0.9431715107557062, 0.9431501512408692, 0.9431382581004981, 0.9431460297151955, 0.9431538013298928, 0.9431615729445904, 0.9431693445592877, 0.9431771161739851, 0.9431676168195178, 0.9431728263326977, 0.9431793596453653, 0.943185799228258, 0.9431712775466676, 0.9431498699113559, 0.9431404928980132, 0.9431475689569477, 0.9431553156144027, 0.9431630622718575, 0.9431649790992227, 0.9431574025960303, 0.9431531203780797, 0.9431608745127591, 0.9431682652600558, 0.9431663913399433, 0.9431618729994851, 0.9431557349228636, 0.9431576348780976, 0.9431654116405492, 0.943173188403001, 0.9431776804189973, 0.9431667085760911, 0.9431401261280198, 0.9431032773316395, 0.9430842707229772, 0.9430917788489727, 0.9430948844583174, 0.9430810851232472, 0.9430551908112891, 0.9430235352082699, 0.9430175747605236, 0.9430221305732809, 0.9430298842322822, 0.9430376378912834, 0.9430453866073834, 0.943038386350975, 0.9430389781287744, 0.9430467286335116, 0.9430543028324803, 0.9430597017706968, 0.9430554313798976, 0.943042620300931, 0.943018260320104, 0.9429924306611217, 0.9429993580606725, 0.9430062854602232, 0.943013212859774, 0.9430201402593248, 0.9430207342080723, 0.9430067959884953, 0.9429862011033368, 0.9429717504199253, 0.942958965191312, 0.9429299856239051, 0.942887768489958, 0.9428869511915747, 0.9428678753217834, 0.942854839832123, 0.942862542368444, 0.942870244904765, 0.9428779474410861, 0.9428856499774071, 0.9428928392065058, 0.9428961703649588, 0.942886117111857, 0.9428681610610732, 0.9428538279905921, 0.9428305583829377, 0.942809364931642, 0.942816334425413, 0.9428233039191838, 0.9428280676477889, 0.9428179171193636, 0.9427884269434263, 0.9427697356049793, 0.9427450164913065, 0.9427278557848155, 0.9427335680347164, 0.9427413686581092, 0.9427491692815021, 0.9427569699048949, 0.9427647705282878, 0.9427725688304178, 0.9427703024682081, 0.9427627146219315, 0.942736170427868, 0.9427211549586287, 0.9427162105458529, 0.9427129259878575, 0.9427107498239676, 0.9427109202356474, 0.9427187114741706, 0.9427260427920015, 0.9427261051821775, 0.9427195016288705, 0.9427011432860869, 0.9427015186877825, 0.9427093029197164, 0.9427170861482226, 0.9427179434813668, 0.9427148362745554, 0.9426933700340214, 0.9426657571149593, 0.9426426985515372, 0.9426475339893277, 0.9426553126213126, 0.9426630912532977, 0.9426708698852827, 0.9426786485172677, 0.9426864271492527, 0.9426942050712821, 0.9427018776547951, 0.9427076164641897, 0.9427004422129507, 0.9426706356084685, 0.9426404880170054, 0.9426299999618758, 0.942625796557422, 0.9426330720530545, 0.942640347548687, 0.9426476230443195, 0.9426548985399521, 0.9426621740355845, 0.9426132095406383, 0.9425644386380321, 0.9425347351925156, 0.9425192228487533, 0.9424981609254692, 0.9424764762977542, 0.9424799002220366, 0.9424876030399048, 0.9424948664403419, 0.942502129840779, 0.9424995364159889, 0.942446852496029, 0.9424078226434549, 0.9423959244190014, 0.9423914112817564, 0.9423989561420876, 0.9424010746162443, 0.9423898753216311, 0.9423974206333261, 0.9424049659450211, 0.9421853214649678, 0.9420998564900904, 0.9420606061884824, 0.9420419549020197, 0.942014961279068, 0.941968530487161, 0.9419446387724844, 0.9419502813663921, 0.941957544065996, 0.9419617949298709, 0.9419555415835392, 0.941909184067411, 0.941890530445405, 0.941891869650345, 0.9418991816356028, 0.9419064936208608, 0.9419138056061187, 0.9419196933776908, 0.94192724026065, 0.9419304952354108, 0.9419137344551995, 0.9418928694768837, 0.9418567779515903, 0.9418341468306357, 0.9418356714416063, 0.9418434815778707, 0.9418512917141351, 0.9418591018503992, 0.9418669119866636, 0.9418747221229279, 0.9418825322591922, 0.9418903411743313, 0.9418974846279184, 0.9419011817119648, 0.941900670175814, 0.9418881262788212, 0.9418630628172329, 0.9418583385350385, 0.9418579218671743, 0.9418652160477581, 0.9418725102283421, 0.9418798044089259, 0.9418816674870615, 0.9418681706319365, 0.941829204794018, 0.9417976791489696, 0.9417998275864905, 0.9418076157094746, 0.9418154038324585, 0.9418231919554426, 0.9418309800784267, 0.9418387682014109, 0.941846556324395, 0.941854344447379, 0.9418621325703631, 0.9418699194766128, 0.9418776544712741, 0.9418839860702524, 0.9418820537079426, 0.9418642800091293, 0.9418248950402495, 0.941805769386232, 0.9418041523736292, 0.9418119254811406, 0.941819698588652, 0.9418274716961633, 0.9418352448036748, 0.9418430179111861, 0.9418507910186975, 0.9418511523992343, 0.9418482368002433, 0.9418254215908786, 0.9417962805350839, 0.9417914805279589, 0.9417989687019428, 0.9418064568759266, 0.9418064097290243, 0.9418019379591065, 0.9417982083270146, 0.9417854451216168, 0.9417882073096671, 0.9417872875089437, 0.9417749485391791, 0.9417574880896947, 0.9417489991721429, 0.9417559045880093, 0.9417607919741227, 0.9417602959429585, 0.9417460811027949, 0.9417419412163068, 0.9417495472155641, 0.9417571532148216, 0.9417635497362373, 0.9417629154475817, 0.9417498036930598, 0.9417169563288466, 0.9417006271352327, 0.9417060266754105, 0.9417137758662402, 0.9417215250570699, 0.9417292742478995, 0.9417370234387292, 0.941742535824891, 0.9417433148860317, 0.9417294473582349, 0.9417006794706682, 0.9416735054841563, 0.9416709584751611, 0.9416765388298308, 0.9416795451821891, 0.9416646003469082, 0.94165861866697, 0.9416594186674017, 0.9416524571689908, 0.9416469510520584, 0.9416546897725664, 0.9416624284930742, 0.9416701672135821, 0.9416779059340901, 0.9416838311135494, 0.9416810421769723, 0.9416562896573644, 0.9416300526672681, 0.9416211233447895, 0.941618982421764, 0.941621176264697, 0.9416098560530062, 0.9415919412888518, 0.9415760632253956, 0.941563481217943, 0.9415645847946259, 0.9415723170270764, 0.941580049259527, 0.9415877814919773, 0.941595513724428, 0.9416032459568784, 0.941608467900076, 0.941597505689699, 0.9415826152773359, 0.9415575818521836, 0.9415411541952741, 0.9415373492927568, 0.9415240025370133, 0.9415198191564877, 0.941527538043724, 0.9415352569309603, 0.9415429758181965, 0.9415506947054327, 0.941558413592669, 0.9415661324799053, 0.9415738513671416, 0.9415815685982387, 0.9415892814514419, 0.9415969263103926, 0.941595000192593, 0.941575422835006, 0.9415511319596929, 0.9415349245081586, 0.9415426254796322, 0.9415503264870462, 0.9415580274944602, 0.9415657285018741, 0.9415727416180166, 0.9415768172423113, 0.9415736160488617, 0.9415650993898701, 0.9415639882117577, 0.9415716829492072, 0.9415793776866568, 0.9415864512035803, 0.9415875062621006, 0.9415770096510651, 0.9415609710189756, 0.9415550340832914, 0.9415627243482776, 0.9415699593169444, 0.9415663805695883, 0.9415549172861168, 0.9415413089571687, 0.9415352862967459, 0.9415255477831511, 0.9415222156307874, 0.9415287655767073, 0.9415283687811966, 0.9415216685851207, 0.9415260809582064, 0.9415201519163987, 0.941515557336186, 0.9415218385645554, 0.9415227491818818, 0.9415190582144162, 0.9415145760547821, 0.9415161976843035, 0.941523133624973, 0.9415300695656426, 0.9415368771410755, 0.9415414706907028, 0.9415346190136751, 0.9415338299378682, 0.9415386158138872, 0.9415327481618244, 0.9415142958538423, 0.941518442633945, 0.9415242375945986, 0.9415224984128547, 0.9415203307738977, 0.9415166165012436, 0.941523925054499, 0.9415312336077544, 0.9415383882856777, 0.9415434411399828, 0.9415471667576297, 0.9415245612725187, 0.9415006597417953, 0.9414895181024658, 0.9414847742093457, 0.9414924211561337, 0.9415000681029217, 0.9415077150497098, 0.9415153619964978, 0.9415217388682158, 0.9415195412158237, 0.9415068950796724, 0.9415020018695404, 0.9415076699168456, 0.9415054038918282, 0.9414974208841778, 0.9414905124694632, 0.9414977263407422, 0.9415049402120212, 0.9415121540833005, 0.9415130049016267, 0.9415166908405173, 0.9415054123673243, 0.9415009862291337, 0.9414967850933554, 0.9414880207511918, 0.9414956472914862, 0.9415032738317806, 0.941510900372075, 0.9415185269123694, 0.9415227125791914, 0.941519582134081, 0.9415272062698223, 0.9415346624396593, 0.9415337050877562, 0.9415263714797093, 0.9415034597780586, 0.9414925724583454, 0.941485936031392, 0.9414935515974168, 0.9415011671634417, 0.9415087810185216, 0.9415153984513358, 0.9415165839511527, 0.9415161076539926, 0.941522122229149, 0.9415228171109005, 0.9415104851849696, 0.9414922063888627, 0.9414935075513999, 0.9414911450800627, 0.9414881151607721, 0.9414831731315983, 0.9414852345751107, 0.9414928355282266, 0.9414974904590108, 0.9415049941500303, 0.9415124978410496, 0.9415200015320692, 0.9414839688213286, 0.9414895090012599, 0.9414955008412095, 0.941494860666118, 0.9414945076428802, 0.941485711880381, 0.9414821255471831, 0.9414874887030544, 0.9414950766900663, 0.9415026613985469, 0.9415042720671434, 0.9415028068214224, 0.94149584573005, 0.9414937465144758, 0.9414856761464694, 0.9414730658144335, 0.9414661514565797, 0.941462759907145, 0.9414658290729037, 0.9414734029247454, 0.9414809767765872, 0.941488550628429, 0.9414807628171059, 0.9414674273759169, 0.9414689463119916, 0.9414738722040173, 0.9414704951483737, 0.9414774890288933, 0.941485058094739, 0.94149238438423, 0.9414962301305083, 0.9414985685338825, 0.9414923235604019, 0.9414796718377105, 0.9414869913758515, 0.9414926731116404, 0.941494783515726, 0.9414796831254205, 0.9414608754769171, 0.9414603240408267, 0.9414522390632732, 0.9414278025381642, 0.9414219709204417, 0.9414287784385976, 0.9414309120216924, 0.9414290808861583, 0.9414156269915521, 0.9414148980219788, 0.9414185706820787, 0.9414124587218318, 0.9413965674383333, 0.9413825020394395, 0.941386187020478, 0.9413898694641005, 0.9413906161799286, 0.9413870939487816, 0.9413837687042823, 0.9413767017499951, 0.9413681250113799, 0.9413703541302588, 0.9413735451766914, 0.9413778627984088, 0.9413806918575609, 0.9413722784135393, 0.94136681950218, 0.9413628355577954, 0.9413611953084499, 0.9413672879699839, 0.941373380631518, 0.9413795961332521, 0.9413725414535208, 0.9413495303913599, 0.9413242642305661, 0.9413135782113211, 0.9413080911943351, 0.9413134998678816, 0.9413210357249782, 0.9413285715820747, 0.9413361074391713, 0.9413370744978768, 0.9413255047134267, 0.9413104310199272, 0.9412974527998715, 0.9412889961437929, 0.9412883920246573, 0.9412959221040668, 0.941303429819851, 0.9413107193510593, 0.9413076679369179, 0.941295496939424, 0.9412744029161335, 0.9412697506166138, 0.9412634473073644, 0.9412590921351341, 0.9412666146669977, 0.9412741371988611, 0.9412816597307246, 0.9412891812590176, 0.9412934328152849, 0.9412933112457036, 0.9412898851101803, 0.9412821696294067, 0.9412649359178851, 0.9412516843320535, 0.9412553318091352, 0.9412628455596268, 0.9412703593101184, 0.9412778704906115, 0.9412839145142782, 0.9412767850774215, 0.941256809255268, 0.9412440574223704, 0.94123599347192, 0.9412330416707868, 0.9412396311374438, 0.9412471375861178, 0.9412541978311415, 0.9412554342293897, 0.9412422927540918, 0.9412192702544568, 0.9411987606302024, 0.9411970755020376, 0.9411985588451249, 0.9412000421882123, 0.9412015255312998, 0.9411892373003549, 0.9411581736481658, 0.9411301557338547, 0.9411200774164918, 0.9411191255263069, 0.9411094323803473, 0.9411011126089317, 0.9411065052149926, 0.9411118978210535, 0.9411172904271143, 0.9411129816494513, 0.9410874712385404, 0.94106705827432, 0.9410652859214632, 0.9410567341003317, 0.9410638667693124, 0.941070999438293, 0.9410781321072736, 0.9410769989452845, 0.9410693603989249, 0.9410589821010413, 0.9410493185404851, 0.9410444669151625, 0.9410321485837325, 0.941023044779943, 0.9410305379630768, 0.9410380311462107, 0.9410455243293443, 0.9410504990303115, 0.9410434614139421, 0.9410236318730636, 0.9410067724440538, 0.941014141266337, 0.9410212401577542, 0.9410277619217087, 0.9410283756058467, 0.9410178225087966, 0.9410092979073567, 0.9410167812948753, 0.9410242646823936, 0.9410317480699122, 0.9410391664027877, 0.9410460588196607, 0.9410504011442724, 0.9410413621987334, 0.9410002368087387, 0.940995432765118, 0.940977138796057, 0.940976816629494, 0.9409842724119656, 0.9409917281944371, 0.9409991839769087, 0.9410066396711203, 0.9410140914374868, 0.9410140427264841, 0.9409943185538462, 0.9409765949434239, 0.9409826966382399, 0.9409901453615345, 0.940997594084829, 0.9410050428081236, 0.9410124915314182, 0.9410199402547128, 0.9410273889780074, 0.941034670394922, 0.9410345679345514, 0.9410198965547398, 0.9410088320223277, 0.941011729346631, 0.9410191867204922, 0.9410266419821864, 0.9410308578182804, 0.941023338764267, 0.9410018969113305, 0.9409744981763952, 0.940963655047431, 0.9409668372628139, 0.9409741371500611, 0.9409778304034307, 0.9409642414421465, 0.9409695989065223, 0.9409739294787403, 0.9409706747804698, 0.9409714693876461, 0.9409789111693909, 0.940978487392744, 0.9409766426553912, 0.940968704208153, 0.9409720355390578, 0.9409794751031126, 0.9409869104500368, 0.9409941115984297, 0.9409993198326094, 0.9409989699858035, 0.9409846415174458, 0.940955596141239, 0.9409393527584216, 0.9409373648871489, 0.9409447959643726, 0.9409522270415964, 0.9409596581188202, 0.9409625648621343, 0.9409598052076454, 0.9409518693754827, 0.9409351075875914, 0.9409289322892909, 0.9409287054698192, 0.9409361275972044, 0.9409382268817778, 0.9409295073138668, 0.9409198935685155, 0.9409192567759146, 0.9409266757903723, 0.94093409480483, 0.9409415138192878, 0.9409489328337455, 0.9409563493490145, 0.9409635355144715, 0.940969670897213, 0.94097171720085, 0.9409679349263544, 0.9409606157296415, 0.9409547940198504, 0.9409449519700495, 0.9409412167570359, 0.9409447275768617, 0.9409520156779707, 0.9409525405907571, 0.9409319872919765, 0.9409028982476175, 0.9408874207420637, 0.9408869385177239, 0.9408943405655483, 0.9409017426133727, 0.940909144661197, 0.9409165467090215, 0.9409239477384865, 0.940930636573527, 0.9409339283003759, 0.9409269130603348, 0.9409095625548143, 0.9408987932759154, 0.9408625448909083, 0.9408578938882415, 0.9408615107408291, 0.9408564807833962, 0.9408556044541991, 0.9408475503439456, 0.9408351153845036, 0.9408264462183635, 0.9408231112412178, 0.940828445827431, 0.9408358374205463, 0.9408432281725723, 0.9408506166125772, 0.940857198171583, 0.940860133303727, 0.9408598543611871, 0.940851737756266, 0.94084438047465, 0.9408469472822047, 0.9408429502538396, 0.9408338552203395, 0.9408305331424109, 0.9408371167445221, 0.9408444933105191, 0.9408518698765163, 0.9408592464425134, 0.9408666230085103, 0.9408739995745075, 0.9408813745731925, 0.9408886245924462, 0.9408947935849576, 0.9408969026102022, 0.9408878080558852, 0.9408653792121098, 0.940839345017472, 0.9408368598366191, 0.9408442244763615, 0.940851589116104, 0.9408588774624721, 0.9408644493038834, 0.940851191968531, 0.9408392195578403, 0.9408035350412514, 0.9408062618585789, 0.940813621231628, 0.9408209806046772, 0.9408283399777266, 0.9408356993507758, 0.9408420457857875, 0.9408358265736038, 0.9408217813874806, 0.9408035662005382, 0.940796027666142, 0.9407952917838831, 0.940801300310469, 0.940807308837055, 0.9408089552890051, 0.9408017158193515, 0.9407728839879803, 0.9407661980443052, 0.9407729561410738, 0.9407801792256838, 0.9407874023102938, 0.9407946253949038, 0.9408018484795139, 0.9408076338375708, 0.9408087618025367, 0.940801965962238, 0.9407916255379241, 0.9407890924730828, 0.940794474953023, 0.9407980597094822, 0.9407980973743011, 0.9407847080397482, 0.9407699340139826, 0.9407717237172263, 0.9407690682660311, 0.9407618964709197, 0.9407496498761561, 0.9407495380448669, 0.9407460089848682, 0.9407406672243952, 0.9407281429239904, 0.9407354753202553, 0.9407428062268917, 0.9407472664625486, 0.9407455813796567, 0.9407404864671555, 0.9407354301007489, 0.9407400100617065, 0.9407445327262736, 0.9407397881625376, 0.9407244473797534, 0.9407167573436486, 0.9407186516949249, 0.9407171145396047, 0.9407186748505503, 0.9407101021952066, 0.9406980459847165, 0.9406936778259984, 0.9406986361675558, 0.9407020840341858, 0.9407035201080192, 0.9406987776687377, 0.9406779903277571, 0.9406552736340036, 0.9406399984948475, 0.9406333477347171, 0.9406398283857214, 0.9406463090367255, 0.9406527896877297, 0.940659270338734, 0.9406653173232059, 0.9406617927150551, 0.9406534525669206, 0.9406472211067455, 0.9406329439700065, 0.9406372117550035, 0.9406413931184989, 0.9406402673887313, 0.9406387564410912, 0.9406323372741241, 0.9406254487964159, 0.9406327243141395, 0.9406399964982904, 0.9406428777875351, 0.9406386963491744, 0.9406383633019407, 0.9406384712512852, 0.9406328910977977, 0.9406371496041144, 0.9406408058096032, 0.9406374210148973, 0.940629470736614, 0.9406195732654277, 0.9406268416443688, 0.94063411002331, 0.9406400998515283, 0.940638531646855, 0.940630696049938, 0.9406154913588052, 0.9405925274911701, 0.9405879880979918, 0.9405952770884802, 0.9406025660789686, 0.940609855069457, 0.9406165568981574, 0.9406205043259854, 0.9406202488985193, 0.9406118230011098, 0.9405955546975083, 0.9405828754067908, 0.9405763010214551, 0.9405706188019747, 0.940577901670451, 0.940585184538927, 0.9405922971990422, 0.9405953419721524, 0.9405871371742889, 0.9405705442074712, 0.9405561278539062, 0.9405474584983861, 0.9405396923528546, 0.9405469685053158, 0.9405542446577768, 0.9405615208102379, 0.940568795255444, 0.9405754081585342, 0.9405775508514842, 0.9405701007816312, 0.9405518699295174, 0.9405328628480563, 0.9405279128026548, 0.9405351809202644, 0.940542449037874, 0.9405477081879847, 0.940543281081311, 0.940532418302382, 0.9405300005745812, 0.9405324246639488, 0.9405274722551273, 0.9405214177902801, 0.9405096050131456, 0.9405033086513367, 0.9404964172547918, 0.9404923347148657, 0.9404995505653133, 0.9405038708588256, 0.9404995540989971, 0.940490055715356, 0.9404860740481449, 0.940493333853613, 0.9404995952386901, 0.9404993953829512, 0.9404833644711164, 0.9404594143821989, 0.9404451889301308, 0.9404523615639871, 0.9404595341978434, 0.9404667068316996, 0.9404729191792167, 0.9404548098894312, 0.940442280804503, 0.9404348244714902, 0.9404367298857468, 0.9404439012351622, 0.9404510725845774, 0.9404581222677901, 0.9404635025770742, 0.9404625759479911, 0.9404533265751998, 0.9404380713614113, 0.9404390798495597, 0.9404372943073673, 0.9404330454453342, 0.940426132603201, 0.9404222882075796, 0.9404178604371327, 0.9404088229248195, 0.940401167273245, 0.9404025117980899, 0.9404094532667007, 0.9404163947353115, 0.9404233362039223, 0.9404302776725328, 0.9404339376306783, 0.9404304402051943, 0.9404183107520336, 0.9403923977607886, 0.9403875845560048, 0.9403795985689385, 0.9403819360876664, 0.940380974083856, 0.9403742369928698, 0.9403692178273262, 0.9403746964241528, 0.9403817226681324, 0.9403887489121121, 0.9403957751560916, 0.9404028014000714, 0.9404097145625556, 0.940406306297117, 0.940407828235606, 0.940389558557723, 0.9403504199821169, 0.9403327028921253, 0.940332783096459, 0.9403400061200299, 0.9403460865203814, 0.9403492649022485, 0.9403505433942125, 0.9403449768290609, 0.9403313624163299, 0.9403190810861763, 0.9403104460926532, 0.94031605803672, 0.9403232717265241, 0.9403304854163282, 0.9403376991061324, 0.9403449127959366, 0.9403521264857406, 0.9403593383065642, 0.9403659957984597, 0.9403677588359418, 0.9403552765806669, 0.9403286477933226, 0.940304927289463, 0.9403060259655895, 0.9403132298355037, 0.9403204337054178, 0.9403276375753322, 0.9403347099375501, 0.9403380087323314, 0.9403305941254758, 0.9403191835580138, 0.9403096401442681, 0.9403059946562914, 0.9403031830299966, 0.9402900426598504, 0.9402960899836992, 0.940303287210592, 0.9403092386188465, 0.9403050799990422, 0.9402786983278986, 0.9402433392849672, 0.9402463839325675, 0.9402422029683573, 0.9402401320794893, 0.9402244416936177, 0.9402160541831159, 0.9402231841883264, 0.940230314193537, 0.9402374436052188, 0.9402444369357419, 0.9402502417311898, 0.9402534193221814, 0.9402529926181546, 0.9402394781482664, 0.9402275893832157, 0.9402202540632361, 0.940224627608391, 0.940230081453379, 0.9402108544853289, 0.9401798755254792, 0.9401530884947791, 0.9401543737403466, 0.9401610010121317, 0.9401676282839168, 0.9401742555557018, 0.9401808828274868, 0.9401875100992718, 0.940194137371057, 0.9402007646428419, 0.940206625290426, 0.94020594175859, 0.9401950808390689, 0.9401752869169631, 0.9401495467809873, 0.9401460716122441, 0.940151579455119, 0.9401587538299552, 0.940165563698302, 0.940166528492734, 0.9401605148830443, 0.9401508360658772, 0.9401567427257229, 0.9401633224784038, 0.9401667485200296, 0.9401612257716625, 0.940150732202067, 0.9401481065859958, 0.9401402507608421, 0.9401471435748421, 0.9401540363888421, 0.9401609292028421, 0.9401678220168422, 0.9401719887399728, 0.940159735016572, 0.9401313320346452, 0.9401116220395165, 0.94009669452031, 0.9400975720829388, 0.9401047316236852, 0.9401118911644316, 0.940119050705178, 0.9401262102459244, 0.9401322446054075, 0.9401332068387799, 0.9401232331583541, 0.9401030945920328, 0.9400864678489028, 0.9400701413381243, 0.9400747101720923, 0.9400818635099538, 0.9400885047710827, 0.9400907878253857, 0.9400873698006051, 0.9400796236138571, 0.9400743278876627, 0.9400756517492299, 0.940069266207925, 0.9400646716727822, 0.9400559280315174, 0.9400630746912879, 0.9400702213510586, 0.9400698668115732, 0.9400616435354, 0.9400534586116774, 0.9400485558443843, 0.9400422506063812, 0.9400213172941716, 0.9400031670504294, 0.9399971862384338, 0.939991908072918, 0.9399903809962584, 0.9399953218472561, 0.9400019613212277, 0.9400061335447505, 0.9400046521690796, 0.9399992363089953, 0.9399830265773416, 0.9399698844812386, 0.9399666924367274, 0.9399738272332039, 0.9399809620296806, 0.9399880968261571, 0.9399952316226338, 0.9400023664191104, 0.9400080327624646, 0.9400077767619344, 0.940004037527008, 0.9399932042285348, 0.939979288782099, 0.939956250099659, 0.9399368026105339, 0.9399387741812439, 0.9399438690019994, 0.9399489638227548, 0.9399540586435102, 0.9399591534642657, 0.9399642482850212, 0.9399710476589905, 0.93997557833195, 0.9399756482217578, 0.9399668060939377, 0.939946401837386, 0.9399125615218809, 0.9399014960341588, 0.9399047789195851, 0.9399116867419446, 0.9399143223248265, 0.9399102839322568, 0.9398939430190383, 0.9398961468817553, 0.9399031684142866, 0.939910288253389, 0.9399174080924915, 0.9399229368767386, 0.939913880558602, 0.9398945969841095, 0.9398787987598409, 0.9398706167877129, 0.939864407383604, 0.9398665375636984, 0.9398736118303463, 0.9398806860969942, 0.9398877603636422, 0.939894062071413, 0.939886591441976, 0.9398747057798822, 0.9398475514606186, 0.9398325203670055, 0.9398392998843139, 0.9398464105162478, 0.9398505416864176, 0.9398241708273845, 0.939828111323897, 0.9398136622518803, 0.9398074790005283, 0.9397983876015598, 0.9397835044990626, 0.9397790900028093, 0.9397861951565551, 0.939793300310301, 0.9398004054640466, 0.9398072819934402, 0.9398109688180059, 0.9398077093373691, 0.9397965439685732, 0.9397764547669583, 0.9397695763064964, 0.9397657600467053, 0.9397728587513676, 0.9397798348750547, 0.9397863793922436, 0.9397748307192327, 0.9397639304358874, 0.9397505669389679, 0.9397533249634713, 0.9397501722029729, 0.9397384283992545, 0.9397305480932263, 0.9397284733828719, 0.9397352784674109, 0.9397420835519499, 0.9397182132467108, 0.9397009725521992, 0.9396822182274184, 0.9396828060482858, 0.9396898377600936, 0.9396968694719015, 0.939695952392412, 0.9396834521081648, 0.9396589100735364, 0.9396374524260007, 0.9396270002232157, 0.9396298835425924, 0.9396369756206915, 0.9396440676987906, 0.9396472312077093, 0.9396382841497273, 0.9396253191458044, 0.9395993705794605, 0.9395909706472905, 0.9395802309950335, 0.9395867988453495, 0.9395921997541483, 0.9395895235556981, 0.9395786221531519, 0.9395686820780975, 0.9395630697391375, 0.9395562945560226, 0.9395436487660997, 0.9395421022409538, 0.9395491879547858, 0.9395518207750896, 0.9395419659469106, 0.9395269684590446, 0.9395227146178455, 0.9395247487587581, 0.9395318339471308, 0.9395319614540891, 0.9395141507597271, 0.9395054789612137, 0.9395012795174784, 0.9395042461475964, 0.9395037402305793, 0.9394978096304359, 0.9394888704951141, 0.9394802867236018, 0.9394867953904409, 0.9394841232942241, 0.9394795556556699, 0.9394644020082966, 0.9394600328778094, 0.9394533781255385, 0.9394410731662636, 0.9394238698756457, 0.9394174488657603, 0.9394063864205544, 0.9393983551402703, 0.9394027069576605, 0.9394097846661082, 0.9394165635576077, 0.9394097740133639, 0.9393956058503365, 0.9393813182048585, 0.9393719742193951, 0.9393670686669884, 0.9393496925475217, 0.9393449487223533, 0.9393507965752979, 0.9393522543764018, 0.9393437219325143, 0.9393212087056635, 0.9393075348468487, 0.9392956755951207, 0.9392860283183899, 0.9392826435896571, 0.9392882590588444, 0.9392811700494141, 0.9392689305608135, 0.9392607882443134, 0.9392674659846527, 0.9392682760927956, 0.9392676175765984, 0.9392571356343508, 0.939238153180698, 0.9392268402326547, 0.939218131710049, 0.9392149201589663, 0.9392212924174916, 0.9392235898319228, 0.9392099673080034, 0.9392003647233549, 0.9391957567478726, 0.9391958611849244, 0.939185286468599, 0.9391701381674474, 0.9391721107410793, 0.9391780088685244, 0.9391810400347581, 0.9391742269051674, 0.9391592215723503, 0.9391484495624451, 0.9391379328858416, 0.9391294316914061, 0.9391183946379706, 0.9391224043822921, 0.9391264141266134, 0.9391252101029246, 0.9391103374680995, 0.9390785135608835, 0.9390489917415001, 0.9390118878168685, 0.9390164503616762, 0.9390210666115075, 0.9390187346718966, 0.9389998451951035, 0.9389714234362445, 0.9389555246864676, 0.9389431249941106, 0.9389416458130205, 0.9389426523073228, 0.9389496071943706, 0.9389543309194582, 0.9389519710466332, 0.938940952565586, 0.9389237678890416, 0.9389027206483664, 0.9388927799294529, 0.938888151004702, 0.9388952229351051, 0.9389022948655081, 0.938906645805422, 0.9389043791720901, 0.9388824074052414, 0.9388503810937368, 0.9388275547223657, 0.938833038458532, 0.9388400124530354, 0.9388469864475387, 0.9388469154371585, 0.9388391446251871, 0.9388230011182572, 0.9387931193288379, 0.9387768703333228, 0.9387784954949174, 0.9387852897914346, 0.9387920840879522, 0.9387970904088714, 0.938793258644449, 0.9387761541665646, 0.9387588543259574, 0.9387459223770768, 0.9387306028144591, 0.9387248544986619, 0.9387316222473385, 0.9387309250390024, 0.9387038358051993, 0.9386751228502774, 0.9386416649180956, 0.9386401075990625, 0.938647126763451, 0.9386539498345712, 0.9386482272326553, 0.9386283377545106, 0.9386025775774864, 0.9385839307554898, 0.9385767297373424, 0.9385826038369086, 0.9385896752143885, 0.9385967465918685, 0.9386036476356561, 0.9386075130878038, 0.9385908887905118, 0.9385725328734805, 0.9385418300352559, 0.9385299049251672, 0.938531876926721, 0.93851894794162, 0.9384938386277464, 0.9384778703585591, 0.938443793400404, 0.9384295930500869, 0.9384363391843029, 0.9384430853185187, 0.9384498314527348, 0.9384565775869507, 0.9384633237211665, 0.938470048960177, 0.9384687475352604, 0.9384430039332912, 0.9384099943503575, 0.9383841836976012, 0.9383722622336972, 0.9383750106033013, 0.9383820823356317, 0.9383871072738194, 0.9383807808774012, 0.9383615578432222, 0.9383235481187868, 0.9382748386096239, 0.9382810070575844, 0.9382871755055451, 0.9382892164998784, 0.9382737019361642, 0.9382582804631586, 0.938257098900849, 0.9382612346168968, 0.93826536854128, 0.938267703086231, 0.9382637062368308, 0.9382502339232215, 0.9382270398890715, 0.9381964438108703, 0.9381902352086235, 0.9381835975486744, 0.9381829829439654, 0.9381852780906317, 0.9381731474216836, 0.9381468379873403, 0.9381259173377952, 0.9381019827590047, 0.9381090579309892, 0.9381161331029737, 0.9381227427508512, 0.9381229452024218, 0.9380946757089367, 0.9380638985346879, 0.9380495876303653, 0.9380361926250496, 0.938033660659854, 0.9380405942219767, 0.9380465065112615, 0.9380497579971852, 0.9380468265944021, 0.9380246368851095, 0.9380041249000504, 0.9379907548511279, 0.9379781808499843, 0.937975748278995, 0.9379673166802367, 0.9379512076411393, 0.9379434069227675, 0.9379392146022193, 0.9379295685176243, 0.9379199899019633, 0.9379114455995615, 0.9379185193910129, 0.9379255931824643, 0.9379326667475922, 0.9379397375754326, 0.9379371166210744, 0.9379304484096213, 0.9379050857515016, 0.9378936596584362, 0.9378811378114711, 0.937868546093559, 0.9378574573506946, 0.9378645292637631, 0.9378716011768315, 0.9378783316287471, 0.93786935434925, 0.9378561165415576, 0.9378324912800708, 0.9377977677666123, 0.9378030553870628, 0.9378058334913728, 0.9377981718311654, 0.937783405801646, 0.9377873704647239, 0.9377847992789448, 0.9377580720598087, 0.937741069666715, 0.9377439974029778, 0.937750764622846, 0.937757531842714, 0.937751883282792, 0.9377474266630145, 0.9377442251951925, 0.9377286700099808, 0.9377129187044511, 0.9376989219476639, 0.93770510145637, 0.9377018113758491, 0.9376934060152402, 0.9376788720401825, 0.9376594497765058, 0.937641562548868, 0.9376392610477302, 0.9376453234340671, 0.9376513858204042, 0.9376574482067412, 0.9376567600738185, 0.937636657609504, 0.9376118256444765, 0.9376000898562158, 0.9375930293390591, 0.9375960497395922, 0.9376022638002669, 0.9376079531033756, 0.9376064353128978, 0.9375869401295824, 0.9375623739515921, 0.9375205116956127, 0.9375155377443058, 0.9375002851400049, 0.9375071803014965, 0.937514075462988, 0.9375204623393534, 0.9375130776028198, 0.9374945199409803, 0.9374726535340819, 0.9374697697962572, 0.9374598712700719, 0.937440356512869, 0.9374346201603474, 0.9374408989221508, 0.937447964035697, 0.9374515527573712, 0.9374392124256292, 0.9374318320442756, 0.9374317813402083, 0.937425090798949, 0.9374164303212456, 0.937419444836548, 0.9374262646583302, 0.9374272754019772, 0.937422091093855, 0.9374113249777769, 0.937382208105333, 0.9373440620701683, 0.937329053224496, 0.9373358774877452, 0.9373313840551054, 0.9373115365864273, 0.9372931630012253, 0.9372932091068847, 0.9372999446609672, 0.9373066802150498, 0.937309051409498, 0.9373026112137559, 0.937298308834501, 0.9372778963289923, 0.9372535798225385, 0.937232938844296, 0.9372186243559921, 0.9372252125335863, 0.9372318007111804, 0.9372383888887744, 0.9372431123857512, 0.9372402285898898, 0.9372272817636718, 0.9372183985035665, 0.9372115705875017, 0.9372119049544148, 0.9372189551819403, 0.9372168066580024, 0.9372014529553496, 0.9371885351016542, 0.9371880003468259, 0.9371950516347611, 0.9371953958577284, 0.9372024500906087, 0.9372095043234889, 0.9372165585563692, 0.9372236127892495, 0.9372306670221298, 0.9372322739589818, 0.9372374292016434, 0.9372355199391296, 0.9372250132661737, 0.937205236649635, 0.9371941145620047, 0.9371822745236126, 0.9371687739711657, 0.9371678771006842, 0.9371678775322017, 0.9371595215430939, 0.9371309824168825, 0.9371099094401736, 0.9371090543201495, 0.9371020332235415, 0.9371049865563121, 0.9371119128152263, 0.9371188390741404, 0.9371257653330545, 0.9371171859113375, 0.9371096868818661, 0.93711344661933, 0.9371201612254079, 0.9371027598669877, 0.9370896098445645, 0.937058801649804, 0.9370482831842082, 0.9370534536559947, 0.9370604906580238, 0.9370487785749939, 0.9370507757256197, 0.937057812730232, 0.9370648497348445, 0.9370718867394568, 0.9370789237440693, 0.9370859607486817, 0.937092997753294, 0.937100033718105, 0.9371070593255966, 0.937106504136226, 0.9371002734938969, 0.9370855365810613, 0.9370719589071353, 0.937076206389264, 0.9370816802799911, 0.9370871541707179, 0.9370808250639171, 0.9370638808140527, 0.9370511485258126, 0.937051389634669, 0.9370483448256968, 0.9370271747041037, 0.9370082001018686, 0.9370064487274905, 0.9370126427217482, 0.9370188367160057, 0.9370250307102634, 0.9370308469177097, 0.9370069454902238, 0.936966573330783, 0.9369386568809357, 0.936928597378232, 0.936925633066246, 0.9369318450245665, 0.9369325554928751, 0.9369097688259068, 0.9368983582596768, 0.9368852425575074, 0.936890879698381, 0.9368844234058563, 0.9368442430705453, 0.9368202206879837, 0.936801536549643, 0.9367962420755704, 0.9368023052909142, 0.9368055176192385, 0.9367971105321216, 0.9367774420568188, 0.9367593905851475, 0.9367428418629935, 0.9367234756306104, 0.9367121847507467, 0.9367165383788911, 0.9366979327978161, 0.9366739286117011, 0.9366628518846454, 0.936666630830856, 0.9366686455031923, 0.936659280854272, 0.9366413901382236, 0.936623803493347, 0.93660804382222, 0.9365922405948446, 0.9365796469184335, 0.9365828563633544, 0.9365773306865367, 0.9365618509276099, 0.9365447698785565, 0.936533580399312, 0.9365273703346044, 0.9365216626870592, 0.9364960073023666, 0.9364712749182507, 0.936460257661776, 0.9364672950833537, 0.9364743325049316, 0.9364747790691631, 0.936460984960533, 0.9364461737770251, 0.9364184045964585, 0.9364068707081754, 0.9363959910169255, 0.936390468367012, 0.9363964098447208, 0.9364022561353101, 0.9364081024258994, 0.9364095190728285, 0.9363893791413496, 0.9363425368109959, 0.936306657116045, 0.936301452382077, 0.9363081739254501, 0.9363146695890991, 0.9363148150784177, 0.9362894499710638, 0.9362506234243549, 0.9362264761479707, 0.9362165631169423, 0.9362211196867843, 0.9362150676433181, 0.9361914683108293, 0.9361539500988303, 0.9361481465559696, 0.9361399463612419, 0.9361422193189659, 0.9361335537599835, 0.9361098630215188, 0.9360830351584921, 0.9360805829530442, 0.9360799843833876, 0.9360865388430439, 0.9360935149012183, 0.9361004909593927, 0.9361047093425526, 0.9361000003788533, 0.9360796200170446, 0.9360476708538084, 0.9360270492246348, 0.9360192082364438, 0.935998389285289, 0.9359831948730121, 0.9359735791496623, 0.9359530611356648, 0.9359344528167066, 0.9359123190970724, 0.9358842905839393, 0.9358621976186547, 0.935836596019423, 0.9358313912477296, 0.9358161689721736, 0.9358082673303079, 0.9357915001434791, 0.935757519684119, 0.9357388339960353, 0.9357211791030257, 0.9357274497205438, 0.9357309559201878, 0.9357223069594156, 0.9357143720489938, 0.935711576599862, 0.9357092391616457, 0.9356865505869121, 0.9356646953035099, 0.9356376953600305, 0.9356423019628657, 0.9356425524230276, 0.9356358475868933, 0.9356426247237699, 0.9356351798740166, 0.9356033718854113, 0.9355739931570461, 0.9355549943223423, 0.9355475422124826, 0.9355334245331487, 0.9355112985802171, 0.9355067351254887, 0.9354828225597189, 0.9354495991365257, 0.9354377000837211, 0.9354214213221037, 0.9354205521820781, 0.93541681964984, 0.9353953222179152, 0.9353802499998313, 0.9353659527157061, 0.9353620216923872, 0.9353283443606987, 0.935307169937094, 0.9353120631608018, 0.9353132071421599, 0.9352881339805376, 0.9352705938152279, 0.9352679171792819, 0.9352470454489279, 0.9352297175255122, 0.9352146780372379, 0.9351906549067787, 0.9351633707110386, 0.9351381791190714, 0.935111871499742, 0.9350894115551952, 0.9350775473052985, 0.9350473030135762, 0.9350445642633312, 0.9350368504536056, 0.9350108439051983, 0.9349869244348157, 0.9349745116237955, 0.9349560644082533, 0.9349298794002333, 0.9349035120052026, 0.934895385170281, 0.9348703415332349, 0.9348434930642144, 0.9348175594992075, 0.9347934812486238, 0.9347572731712801, 0.9347267667735465, 0.934712197629191, 0.934674541120583, 0.9346570562860601, 0.9346323760195037, 0.9346132827595706, 0.9346006989390259, 0.9345677403861448, 0.9345402960651973, 0.934508959168686, 0.9344909116139445, 0.9344729967298644, 0.9344493471549071, 0.9344266064408047, 0.934428314064554, 0.9343774901400954, 0.9343558996296897, 0.934352178256544, 0.9343324301517235, 0.9343115237673909, 0.934288175585413, 0.9342447556401065, 0.9342179546893674, 0.9342091692117503, 0.934171529082902, 0.9341680887899437, 0.9341608511300996, 0.9341335602681975, 0.9340860983535877, 0.9340687227433521, 0.9340627965629997, 0.9340403333327343, 0.9340291514573134, 0.9340110705802926, 0.9339917771233224, 0.9339645808999474, 0.9339366727388095, 0.9339099903081011, 0.9339041916090037, 0.9338528979783501, 0.933828320249569, 0.9338126456742663, 0.9337720036944832, 0.9337551594890072, 0.9337118366844445, 0.933705063569729, 0.9336769590197076, 0.9336534578930846, 0.9336303178843565, 0.9336134950635117, 0.9335985426043635, 0.9335880248702084, 0.9335818121882687, 0.9335728181837917, 0.933531143698136, 0.9335166529072709, 0.9334770354105999, 0.9334705867962038, 0.9334475895369772, 0.9334289136177365, 0.9334231663889572, 0.9334097270223114, 0.9333883082132169, 0.9333692705038604, 0.9333479672670115, 0.9333224061987375, 0.9333114173672215, 0.9333005529208778, 0.933284802390351, 0.93325512530265, 0.9332377744815903, 0.9332179936232184, 0.9331914073151353, 0.9331546353455437, 0.9331618450770751, 0.9331575899665975, 0.9331363681264264, 0.9331255279219206, 0.9331157194645499, 0.9330918762952738, 0.9330724692115261, 0.9330452130228093, 0.9330100828432938, 0.9329885055657754, 0.932972931159515, 0.932960598101959, 0.9329288975949969, 0.9328899349342096, 0.932864565907245, 0.9328536037875739, 0.9328317885670838, 0.9328257220926064, 0.9328175624553353, 0.9327946796173816, 0.9327449680126636, 0.9327042429280508, 0.9326832365941354, 0.932653558855661, 0.9326293867743518, 0.9326160309184248, 0.9326099758018802, 0.9325822605788143, 0.9325683615640703, 0.9325456956888268, 0.9325124590394531, 0.9324718515724681, 0.9324376403924106, 0.932402154443948, 0.9323783680974382, 0.9323587689954234, 0.9323405866819079, 0.9323002633803712, 0.9322782219581109, 0.9322643916728114, 0.9322415673255701, 0.9322109834882373, 0.9321740915803213, 0.9321445188686461, 0.9321086784476174, 0.9320913081199993, 0.9320679089691156, 0.9320311922036, 0.9320142440148329, 0.9319904948620584, 0.931972176233717, 0.9319550857320922, 0.9319125679744233, 0.931896279079949, 0.931881121119604, 0.9318625396281023, 0.9318228231358673, 0.9317779675920207, 0.931744145394761, 0.9317272344174269, 0.9316967423113931, 0.9316503195845727, 0.9316331589555767, 0.9315997930730398, 0.9315706006267362, 0.9315208652698745, 0.9314717995222455, 0.9314340159310659, 0.9313987799791151, 0.9313773274021715, 0.9313385921017323, 0.9313078609075915, 0.9312734817302968, 0.9312405777718327, 0.9311947668765618, 0.9311492799177301, 0.9311077372178218, 0.9310708900273303, 0.9310498509950588, 0.9310239299160505, 0.9309928810706207, 0.930949899575658, 0.9309192134518744, 0.9308885937681045, 0.9308371822479959, 0.9307949753068905, 0.9307600083099943, 0.930717649792598, 0.9306717340513404, 0.9306311727436377, 0.9305864527762928, 0.9305557098429245, 0.9305233568852989, 0.9304900835669012, 0.9304469580747166, 0.9304049862400201, 0.9303545875260291, 0.9303238200514121, 0.9302848814494638, 0.9302389219092534, 0.9301931128935609, 0.9301429085532492, 0.9301004051070627, 0.9300638446539621, 0.930003594414031, 0.9299547540596647, 0.9298966505936248, 0.9298398770052253, 0.9298044392716001, 0.9297601263985861, 0.9297115256894501, 0.9296543644326825, 0.929600965094978, 0.9295509790416543, 0.9295087663188095, 0.9294647621141487, 0.9294153630630317, 0.9293554009637319, 0.9292953851414192, 0.9292495636498805, 0.9291950204004935, 0.929131580260949, 0.929082622293524, 0.9290304523781681, 0.9289793594197779, 0.9289245518134956, 0.9288794731605812, 0.9288272798641608, 0.9287523524728969, 0.9287214215064339, 0.9286718477656978, 0.9286402106539255, 0.9285933866803436, 0.9285570961519787, 0.9285076922977165, 0.9284522670537196, 0.9284055233533111, 0.9283516722448732, 0.9283036437000609, 0.9282627562524948, 0.9281975376272782, 0.9281365646049692, 0.9280735890722472, 0.9280381467148697, 0.9279832845829036, 0.9279380747038175, 0.9278760039094378, 0.9278105197373651, 0.927763532053995, 0.9277281594322424, 0.9276691433197166, 0.9276287040799811, 0.9275731052908831, 0.9275095300638161, 0.9274480066137026, 0.9273991690498027, 0.9273426622325007, 0.9272841733930703, 0.9272203178077549, 0.9271702295054751, 0.9271181110118893, 0.927054361455631, 0.9270037516555509, 0.9269494881762088, 0.9268880667897781, 0.9268351368361791, 0.9267640151438616, 0.926681864417727, 0.9266161603689733, 0.9265617280550058, 0.9265137612073234, 0.9264567228122421, 0.9264034427059595, 0.9263399231250741, 0.9262885022492837, 0.9262342836602067, 0.9261764384982286, 0.9261154209267038, 0.9260619728646837, 0.9260196552776867, 0.925965070762782, 0.9259235158235636, 0.9258718910437231, 0.9258145330292835, 0.9257601692292545, 0.9257091105099372, 0.925659281413064, 0.9256091421576036, 0.9255376197903233, 0.9254712216677451, 0.92540818914561, 0.9253562059993656, 0.9252862826257229, 0.9252421108584934, 0.9251840845294634, 0.9251252293820742, 0.9250670550046345, 0.9250158732223319, 0.9249689346899324, 0.924918270822862, 0.9248432537961231, 0.9247567002914072, 0.9246829804761448, 0.924605497971966, 0.9245433386545105, 0.9244752621497665, 0.9244175773950573, 0.9243548012938139, 0.9242898006970438, 0.9242073281946187, 0.9241273840988572, 0.9240396695421422, 0.9239639105983197, 0.9238975921755825, 0.9238327825669694, 0.9237817455227819, 0.9237122998141463, 0.923652447769912, 0.9235850650924345, 0.9235346779898475, 0.9234801798503494, 0.92343477569285, 0.923381154416844, 0.9233086725101911, 0.9232318024956649, 0.9231677630491366, 0.9231192436593718, 0.9230695311817736, 0.9229952879818613, 0.9229293974837299, 0.9228645720776842, 0.9227907940517105, 0.9227252587190514, 0.922618599863932, 0.9225336581679129, 0.9224532657148479, 0.922370674623384, 0.9222973987477074, 0.9222338405871097, 0.9221627529645642, 0.92208357486609, 0.9220089099133126, 0.9219445377974469, 0.921865603467221, 0.9217992694826325, 0.921736679168562, 0.9216580418366562, 0.9215903989118621, 0.9215340454267767, 0.9214624866973503, 0.9213579265373344, 0.9212638381018616, 0.9212003780220427, 0.9211112973129554, 0.9210185067260537, 0.9209465691090386, 0.9208814324830115, 0.9207965039397137, 0.920702872327706, 0.920611154940318, 0.9205252481762363, 0.9204327896208353, 0.9203622427930889, 0.9202623214603117, 0.9201815448720155, 0.9200862166481106, 0.9199886779819253, 0.9198967639962456, 0.9198069423942178, 0.9197195845609254, 0.9196280058031101, 0.9195280303747047, 0.9194496452891545, 0.9193476778550951, 0.9192615395752093, 0.9191992354006971, 0.9191336306898099, 0.9190456621478849, 0.9189499532435874, 0.9188604000957846, 0.9187611245458842, 0.9186992098947802, 0.9185896540171348, 0.9184621681646556, 0.9183775380768113, 0.9182833855907736, 0.918171955314961, 0.9180837540840519, 0.9179858855291727, 0.9179078900209844, 0.9178201037520861, 0.9177286432660174, 0.9176352215006485, 0.9175419410995587, 0.9174561668491581, 0.9173458291872223, 0.9172386661854836, 0.9171395640717727, 0.9170203480340391, 0.916906595809583, 0.9167942940073533, 0.9166832667769547, 0.91657996948901, 0.916477708544501, 0.9163723752387194, 0.9162719153178791, 0.9161631238997223, 0.9160488318986129, 0.915936323885496, 0.9158111305403556, 0.915681650240977, 0.9155746848867055, 0.9154664485596711, 0.9153515951491173, 0.9152296233755411, 0.915106356890597, 0.9150199319760703, 0.9149166519132532, 0.9147798317810252, 0.914676042314827, 0.9145485765037202, 0.914446768979595, 0.9143695474443679, 0.9142514203328344, 0.9141305083738634, 0.9140451707760779, 0.9139157669696045, 0.9138022884426782, 0.9136548930527519, 0.9135209949745136, 0.9134058728490695, 0.9132882437905531, 0.9131761345292354, 0.9130417066240273, 0.9128824488016813, 0.9127651994052709, 0.9126481631429713, 0.912510344550642, 0.9124067392003299, 0.9122830178025124, 0.9121646766378622, 0.912022676431399, 0.9118734365858254, 0.9117649290005274, 0.9116485716800333, 0.9115269655691365, 0.9114111272586551, 0.9113067432087686, 0.9111857218783905, 0.9110212854495345, 0.9108902041571929, 0.9107525484551584, 0.9105999325044165, 0.9104414532205392, 0.9102894400302335, 0.9101688350185482, 0.9100023250294069, 0.9098477591568985, 0.9097016837845048, 0.9095597461682732, 0.9094477267890715, 0.9093433332308719, 0.9092228339809733, 0.9090825560840221, 0.9089286443739925, 0.9087864698952681, 0.9086146251037175, 0.9084319721958775, 0.9082618205592737, 0.9080932066713825, 0.9079184720766349, 0.907747435707, 0.9075594567075351, 0.9073989085026766, 0.9072365258191197, 0.9070547246853178, 0.906873634578893, 0.9066376177471014, 0.9062815863708886, 0.905979570572752, 0.9056655023872173, 0.9054517761577832, 0.9051733469057603, 0.9048813614268576, 0.9045613611991523, 0.9043015143715014, 0.904111151180778, 0.9038742429780792, 0.9036278464550257, 0.9034316664652997, 0.9031811888219534, 0.9029144027846652, 0.9026635914850779, 0.9023760901734903, 0.9022460364381398, 0.9019546657352722, 0.9017013786280822, 0.9016554054237603, 0.9014348363989617, 0.9012080780878677, 0.9020378566615785, 0.9017715618540294, 0.9015221198529666, 0.9012639782193232, 0.9022296014826208, 0.9020087113794841, 0.9017515289939289, 0.9016452974315672, 0.9009234405799825, 0.9012721747914212, 0.9008505128321945, 0.901371092567862, 0.9009776987281555, 0.9005002741429492, 0.9010487650506004, 0.9015189473428294, 0.9011480641670925, 0.900630770992248, 0.9017232564806117, 0.9014567077955563, 0.9011145370713282, 0.9007693075902765, 0.9002668997428696, 0.9004664757189584, 0.9001649459196386, 0.899970430009574, 0.9002223693503708, 0.8997883987812416, 0.8993701825049739, 0.8998617019273399, 0.9003597208815519, 0.9004234988773746, 0.9001921766765245, 0.9002941191178067, 0.8999836424850391, 0.8996265764954922, 0.8990805722321925, 0.8997271745363893, 0.8989079772125275, 0.8994738576335028, 0.8991803439267918, 0.9001140433021759, 0.8998216614642339, 0.8995042723159119, 0.8990878917492331, 0.9000000258974126, 0.8996021036889033, 0.9002815016864255, 0.901015930927527, 0.9005956974187276, 0.9005649014219479, 0.900506579790246, 0.9001835298124888, 0.8996244249732006, 0.9021070368118969, 0.9019020221591052, 0.9016514703441902, 0.9013925105527308, 0.9011751131909359, 0.9008601743760192, 0.9005112051814343, 0.9001020123251888, 0.8992643913396268, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}, {\\\"hoverinfo\\\": \\\"skip\\\", \\\"line\\\": {\\\"color\\\": \\\"rgba(150, 0, 0, 1)\\\", \\\"width\\\": 0.0}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"\\\", \\\"showlegend\\\": false, \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.5, 0.5001, 0.5002, 0.5003, 0.5004, 0.5005, 0.5006, 0.5007, 0.5008, 0.5009, 0.501, 0.5011, 0.5012, 0.5013, 0.5014, 0.5015, 0.5016, 0.5017, 0.5018, 0.5019, 0.502, 0.5021, 0.5022, 0.5023, 0.5024, 0.5025, 0.5026, 0.5027, 0.5028, 0.5029, 0.503, 0.5031, 0.5032, 0.5033, 0.5034, 0.5035, 0.5036, 0.5037, 0.5038, 0.5039, 0.504, 0.5041, 0.5042, 0.5043, 0.5044, 0.5045, 0.5046, 0.5047, 0.5048, 0.5049, 0.505, 0.5051, 0.5052, 0.5053, 0.5054, 0.5055, 0.5056, 0.5057, 0.5058, 0.5059, 0.506, 0.5061, 0.5062, 0.5063, 0.5064, 0.5065, 0.5066, 0.5067, 0.5068, 0.5069, 0.507, 0.5071, 0.5072, 0.5073, 0.5074, 0.5075, 0.5076, 0.5077, 0.5078, 0.5079, 0.508, 0.5081, 0.5082, 0.5083, 0.5084, 0.5085, 0.5086, 0.5087, 0.5088, 0.5089, 0.509, 0.5091, 0.5092, 0.5093, 0.5094, 0.5095, 0.5096, 0.5097, 0.5098, 0.5099, 0.51, 0.5101, 0.5102, 0.5103, 0.5104, 0.5105, 0.5106, 0.5107, 0.5108, 0.5109, 0.511, 0.5111, 0.5112, 0.5113, 0.5114, 0.5115, 0.5116, 0.5117, 0.5118, 0.5119, 0.512, 0.5121, 0.5122, 0.5123, 0.5124, 0.5125, 0.5126, 0.5127, 0.5128, 0.5129, 0.513, 0.5131, 0.5132, 0.5133, 0.5134, 0.5135, 0.5136000000000001, 0.5137, 0.5138, 0.5139, 0.514, 0.5141, 0.5142, 0.5143, 0.5144, 0.5145, 0.5146, 0.5147, 0.5148, 0.5149, 0.515, 0.5151, 0.5152, 0.5153, 0.5154, 0.5155, 0.5156, 0.5157, 0.5158, 0.5159, 0.516, 0.5161, 0.5162, 0.5163, 0.5164, 0.5165, 0.5166, 0.5167, 0.5168, 0.5169, 0.517, 0.5171, 0.5172, 0.5173, 0.5174, 0.5175, 0.5176, 0.5177, 0.5178, 0.5179, 0.518, 0.5181, 0.5182, 0.5183, 0.5184, 0.5185, 0.5186, 0.5187, 0.5188, 0.5189, 0.519, 0.5191, 0.5192, 0.5193, 0.5194, 0.5195, 0.5196, 0.5197, 0.5198, 0.5199, 0.52, 0.5201, 0.5202, 0.5203, 0.5204, 0.5205, 0.5206, 0.5207, 0.5208, 0.5209, 0.521, 0.5211, 0.5212, 0.5213, 0.5214, 0.5215, 0.5216, 0.5217, 0.5218, 0.5219, 0.522, 0.5221, 0.5222, 0.5223, 0.5224, 0.5225, 0.5226, 0.5227, 0.5228, 0.5229, 0.523, 0.5231, 0.5232, 0.5233, 0.5234, 0.5235, 0.5236, 0.5237, 0.5238, 0.5239, 0.524, 0.5241, 0.5242, 0.5243, 0.5244, 0.5245, 0.5246, 0.5246999999999999, 0.5248, 0.5249, 0.525, 0.5251, 0.5252, 0.5253, 0.5254, 0.5255, 0.5256, 0.5257000000000001, 0.5258, 0.5259, 0.526, 0.5261, 0.5262, 0.5263, 0.5264, 0.5265, 0.5266, 0.5267, 0.5268, 0.5269, 0.527, 0.5271, 0.5272, 0.5273, 0.5274, 0.5275, 0.5276, 0.5277000000000001, 0.5278, 0.5279, 0.528, 0.5281, 0.5282, 0.5283, 0.5284, 0.5285, 0.5286, 0.5287, 0.5288, 0.5289, 0.529, 0.5291, 0.5292, 0.5293, 0.5294, 0.5295, 0.5296, 0.5297, 0.5298, 0.5299, 0.53, 0.5301, 0.5302, 0.5303, 0.5304, 0.5305, 0.5306, 0.5307, 0.5308, 0.5309, 0.531, 0.5311, 0.5312, 0.5313, 0.5314, 0.5315, 0.5316, 0.5317, 0.5318, 0.5319, 0.532, 0.5321, 0.5322, 0.5323, 0.5324, 0.5325, 0.5326, 0.5327, 0.5328, 0.5329, 0.533, 0.5331, 0.5332, 0.5333, 0.5334, 0.5335, 0.5336, 0.5337, 0.5338, 0.5339, 0.534, 0.5341, 0.5342, 0.5343, 0.5344, 0.5345, 0.5346, 0.5347, 0.5348, 0.5349, 0.535, 0.5351, 0.5352, 0.5353, 0.5354, 0.5355, 0.5356, 0.5357, 0.5358, 0.5359, 0.536, 0.5361, 0.5362, 0.5363, 0.5364, 0.5365, 0.5366, 0.5367, 0.5367999999999999, 0.5369, 0.537, 0.5371, 0.5372, 0.5373, 0.5374, 0.5375, 0.5376, 0.5377, 0.5378000000000001, 0.5379, 0.538, 0.5381, 0.5382, 0.5383, 0.5384, 0.5385, 0.5386, 0.5387, 0.5388, 0.5389, 0.539, 0.5391, 0.5392, 0.5393, 0.5394, 0.5395, 0.5396, 0.5397, 0.5398000000000001, 0.5399, 0.54, 0.5401, 0.5402, 0.5403, 0.5404, 0.5405, 0.5406, 0.5407, 0.5408, 0.5409, 0.541, 0.5411, 0.5412, 0.5413, 0.5414, 0.5415, 0.5416, 0.5417, 0.5418000000000001, 0.5419, 0.542, 0.5421, 0.5422, 0.5423, 0.5424, 0.5425, 0.5426, 0.5427, 0.5428, 0.5429, 0.543, 0.5431, 0.5432, 0.5433, 0.5434, 0.5435, 0.5436, 0.5437, 0.5438, 0.5439, 0.544, 0.5441, 0.5442, 0.5443, 0.5444, 0.5445, 0.5446, 0.5447, 0.5448, 0.5449, 0.545, 0.5451, 0.5452, 0.5453, 0.5454, 0.5455, 0.5456, 0.5457, 0.5458, 0.5459, 0.546, 0.5461, 0.5462, 0.5463, 0.5464, 0.5465, 0.5466, 0.5467, 0.5468, 0.5469, 0.547, 0.5471, 0.5472, 0.5473, 0.5474, 0.5475, 0.5476, 0.5477, 0.5478, 0.5479, 0.548, 0.5481, 0.5482, 0.5483, 0.5484, 0.5485, 0.5486, 0.5487, 0.5488, 0.5488999999999999, 0.549, 0.5491, 0.5492, 0.5493, 0.5494, 0.5495, 0.5496, 0.5497, 0.5498, 0.5499, 0.55, 0.5501, 0.5502, 0.5503, 0.5504, 0.5505, 0.5506, 0.5507, 0.5508, 0.5509, 0.551, 0.5511, 0.5512, 0.5513, 0.5514, 0.5515, 0.5516, 0.5517, 0.5518, 0.5519000000000001, 0.552, 0.5521, 0.5522, 0.5523, 0.5524, 0.5525, 0.5526, 0.5527, 0.5528, 0.5529, 0.553, 0.5531, 0.5532, 0.5533, 0.5534, 0.5535, 0.5536, 0.5537, 0.5538, 0.5539000000000001, 0.554, 0.5541, 0.5542, 0.5543, 0.5544, 0.5545, 0.5546, 0.5547, 0.5548, 0.5549, 0.555, 0.5551, 0.5552, 0.5553, 0.5554, 0.5555, 0.5556, 0.5557, 0.5558, 0.5559000000000001, 0.556, 0.5561, 0.5562, 0.5563, 0.5564, 0.5565, 0.5566, 0.5567, 0.5568, 0.5569, 0.557, 0.5571, 0.5572, 0.5573, 0.5574, 0.5575, 0.5576, 0.5577, 0.5578, 0.5579, 0.558, 0.5581, 0.5582, 0.5583, 0.5584, 0.5585, 0.5586, 0.5587, 0.5588, 0.5589, 0.559, 0.5591, 0.5592, 0.5593, 0.5594, 0.5595, 0.5596, 0.5597, 0.5598, 0.5599, 0.56, 0.5601, 0.5602, 0.5603, 0.5604, 0.5605, 0.5606, 0.5607, 0.5608, 0.5609, 0.561, 0.5611, 0.5612, 0.5613, 0.5614, 0.5615, 0.5616, 0.5617, 0.5618, 0.5619, 0.562, 0.5621, 0.5622, 0.5623, 0.5624, 0.5625, 0.5626, 0.5627, 0.5628, 0.5629, 0.563, 0.5631, 0.5632, 0.5633, 0.5634, 0.5635, 0.5636, 0.5637, 0.5638, 0.5639, 0.5640000000000001, 0.5641, 0.5642, 0.5643, 0.5644, 0.5645, 0.5646, 0.5647, 0.5648, 0.5649, 0.565, 0.5651, 0.5652, 0.5653, 0.5654, 0.5655, 0.5656, 0.5657, 0.5658, 0.5659, 0.5660000000000001, 0.5661, 0.5662, 0.5663, 0.5664, 0.5665, 0.5666, 0.5667, 0.5668, 0.5669, 0.567, 0.5671, 0.5672, 0.5673, 0.5674, 0.5675, 0.5676, 0.5677, 0.5678, 0.5679, 0.5680000000000001, 0.5681, 0.5682, 0.5683, 0.5684, 0.5685, 0.5686, 0.5687, 0.5688, 0.5689, 0.569, 0.5691, 0.5692, 0.5693, 0.5694, 0.5695, 0.5696, 0.5697, 0.5698, 0.5699, 0.5700000000000001, 0.5701, 0.5702, 0.5703, 0.5704, 0.5705, 0.5706, 0.5707, 0.5708, 0.5709, 0.571, 0.5710999999999999, 0.5712, 0.5713, 0.5714, 0.5715, 0.5716, 0.5717, 0.5718, 0.5719, 0.5720000000000001, 0.5721, 0.5722, 0.5723, 0.5724, 0.5725, 0.5726, 0.5727, 0.5728, 0.5729, 0.573, 0.5730999999999999, 0.5732, 0.5733, 0.5734, 0.5735, 0.5736, 0.5737, 0.5738, 0.5739, 0.5740000000000001, 0.5741, 0.5742, 0.5743, 0.5744, 0.5745, 0.5746, 0.5747, 0.5748, 0.5749, 0.575, 0.5751, 0.5752, 0.5753, 0.5754, 0.5755, 0.5756, 0.5757, 0.5758, 0.5759, 0.576, 0.5761000000000001, 0.5762, 0.5763, 0.5764, 0.5765, 0.5766, 0.5767, 0.5768, 0.5769, 0.577, 0.5771, 0.5772, 0.5773, 0.5774, 0.5775, 0.5776, 0.5777, 0.5778, 0.5779, 0.578, 0.5781000000000001, 0.5782, 0.5783, 0.5784, 0.5785, 0.5786, 0.5787, 0.5788, 0.5789, 0.579, 0.5791, 0.5792, 0.5793, 0.5794, 0.5795, 0.5796, 0.5797, 0.5798, 0.5799, 0.58, 0.5801000000000001, 0.5802, 0.5803, 0.5804, 0.5805, 0.5806, 0.5807, 0.5808, 0.5809, 0.581, 0.5811, 0.5812, 0.5813, 0.5814, 0.5815, 0.5816, 0.5817, 0.5818, 0.5819, 0.582, 0.5821000000000001, 0.5822, 0.5823, 0.5824, 0.5825, 0.5826, 0.5827, 0.5828, 0.5829, 0.583, 0.5831, 0.5832, 0.5833, 0.5834, 0.5835, 0.5836, 0.5837, 0.5838, 0.5839, 0.584, 0.5841000000000001, 0.5842, 0.5843, 0.5844, 0.5845, 0.5846, 0.5847, 0.5848, 0.5849, 0.585, 0.5851, 0.5851999999999999, 0.5853, 0.5854, 0.5855, 0.5856, 0.5857, 0.5858, 0.5859, 0.586, 0.5861000000000001, 0.5862, 0.5863, 0.5864, 0.5865, 0.5866, 0.5867, 0.5868, 0.5869, 0.587, 0.5871, 0.5871999999999999, 0.5873, 0.5874, 0.5875, 0.5876, 0.5877, 0.5878, 0.5879, 0.588, 0.5881, 0.5882000000000001, 0.5883, 0.5884, 0.5885, 0.5886, 0.5887, 0.5888, 0.5889, 0.589, 0.5891, 0.5892, 0.5893, 0.5894, 0.5895, 0.5896, 0.5897, 0.5898, 0.5899, 0.59, 0.5901, 0.5902000000000001, 0.5903, 0.5904, 0.5905, 0.5906, 0.5907, 0.5908, 0.5909, 0.591, 0.5911, 0.5912, 0.5913, 0.5914, 0.5915, 0.5916, 0.5917, 0.5918, 0.5919, 0.592, 0.5921, 0.5922000000000001, 0.5923, 0.5924, 0.5925, 0.5926, 0.5927, 0.5928, 0.5929, 0.593, 0.5931, 0.5932, 0.5933, 0.5934, 0.5935, 0.5936, 0.5937, 0.5938, 0.5939, 0.594, 0.5941, 0.5942000000000001, 0.5943, 0.5944, 0.5945, 0.5946, 0.5947, 0.5948, 0.5949, 0.595, 0.5951, 0.5952, 0.5953, 0.5954, 0.5955, 0.5956, 0.5957, 0.5958, 0.5959, 0.596, 0.5961, 0.5962000000000001, 0.5963, 0.5964, 0.5965, 0.5966, 0.5967, 0.5968, 0.5969, 0.597, 0.5971, 0.5972, 0.5973, 0.5974, 0.5975, 0.5976, 0.5977, 0.5978, 0.5979, 0.598, 0.5981, 0.5982000000000001, 0.5983, 0.5984, 0.5985, 0.5986, 0.5987, 0.5988, 0.5989, 0.599, 0.5991, 0.5992, 0.5992999999999999, 0.5994, 0.5995, 0.5996, 0.5997, 0.5998, 0.5999, 0.6, 0.6001, 0.6002000000000001, 0.6003000000000001, 0.6004, 0.6005, 0.6006, 0.6007, 0.6008, 0.6009, 0.601, 0.6011, 0.6012, 0.6013, 0.6014, 0.6015, 0.6016, 0.6017, 0.6018, 0.6019, 0.602, 0.6021, 0.6022, 0.6023000000000001, 0.6024, 0.6025, 0.6026, 0.6027, 0.6028, 0.6029, 0.603, 0.6031, 0.6032, 0.6033, 0.6034, 0.6035, 0.6036, 0.6037, 0.6038, 0.6039, 0.604, 0.6041, 0.6042, 0.6043000000000001, 0.6044, 0.6045, 0.6046, 0.6047, 0.6048, 0.6049, 0.605, 0.6051, 0.6052, 0.6053, 0.6054, 0.6055, 0.6056, 0.6057, 0.6058, 0.6059, 0.606, 0.6061, 0.6062, 0.6063000000000001, 0.6064, 0.6065, 0.6066, 0.6067, 0.6068, 0.6069, 0.607, 0.6071, 0.6072, 0.6073, 0.6074, 0.6075, 0.6076, 0.6077, 0.6078, 0.6079, 0.608, 0.6081, 0.6082, 0.6083000000000001, 0.6084, 0.6085, 0.6086, 0.6087, 0.6088, 0.6089, 0.609, 0.6091, 0.6092, 0.6093, 0.6094, 0.6095, 0.6096, 0.6097, 0.6098, 0.6099, 0.61, 0.6101, 0.6102, 0.6103000000000001, 0.6104, 0.6105, 0.6106, 0.6107, 0.6108, 0.6109, 0.611, 0.6111, 0.6112, 0.6113, 0.6113999999999999, 0.6115, 0.6116, 0.6117, 0.6118, 0.6119, 0.612, 0.6121, 0.6122, 0.6123000000000001, 0.6124, 0.6125, 0.6126, 0.6127, 0.6128, 0.6129, 0.613, 0.6131, 0.6132, 0.6133, 0.6134, 0.6135, 0.6136, 0.6137, 0.6138, 0.6139, 0.614, 0.6141, 0.6142, 0.6143, 0.6144000000000001, 0.6145, 0.6146, 0.6147, 0.6148, 0.6149, 0.615, 0.6151, 0.6152, 0.6153, 0.6154, 0.6155, 0.6156, 0.6157, 0.6158, 0.6159, 0.616, 0.6161, 0.6162, 0.6163, 0.6164000000000001, 0.6165, 0.6166, 0.6167, 0.6168, 0.6169, 0.617, 0.6171, 0.6172, 0.6173, 0.6174, 0.6175, 0.6176, 0.6177, 0.6178, 0.6179, 0.618, 0.6181, 0.6182, 0.6183, 0.6184000000000001, 0.6185, 0.6186, 0.6187, 0.6188, 0.6189, 0.619, 0.6191, 0.6192, 0.6193, 0.6194, 0.6195, 0.6196, 0.6197, 0.6198, 0.6199, 0.62, 0.6201, 0.6202, 0.6203, 0.6204000000000001, 0.6205, 0.6206, 0.6207, 0.6208, 0.6209, 0.621, 0.6211, 0.6212, 0.6213, 0.6214, 0.6215, 0.6216, 0.6217, 0.6218, 0.6219, 0.622, 0.6221, 0.6222, 0.6223, 0.6224000000000001, 0.6225, 0.6226, 0.6227, 0.6228, 0.6229, 0.623, 0.6231, 0.6232, 0.6233, 0.6234, 0.6235, 0.6236, 0.6237, 0.6238, 0.6239, 0.624, 0.6241, 0.6242, 0.6243, 0.6244000000000001, 0.6245, 0.6246, 0.6247, 0.6248, 0.6249, 0.625, 0.6251, 0.6252, 0.6253, 0.6254, 0.6255, 0.6256, 0.6257, 0.6258, 0.6259, 0.626, 0.6261, 0.6262, 0.6263, 0.6264000000000001, 0.6265000000000001, 0.6266, 0.6267, 0.6268, 0.6269, 0.627, 0.6271, 0.6272, 0.6273, 0.6274, 0.6275, 0.6276, 0.6277, 0.6278, 0.6279, 0.628, 0.6281, 0.6282, 0.6283, 0.6284000000000001, 0.6285000000000001, 0.6286, 0.6287, 0.6288, 0.6289, 0.629, 0.6291, 0.6292, 0.6293, 0.6294, 0.6295, 0.6295999999999999, 0.6297, 0.6298, 0.6299, 0.63, 0.6301, 0.6302, 0.6303, 0.6304000000000001, 0.6305000000000001, 0.6306, 0.6307, 0.6308, 0.6309, 0.631, 0.6311, 0.6312, 0.6313, 0.6314, 0.6315, 0.6315999999999999, 0.6317, 0.6318, 0.6319, 0.632, 0.6321, 0.6322, 0.6323, 0.6324000000000001, 0.6325000000000001, 0.6326, 0.6327, 0.6328, 0.6329, 0.633, 0.6331, 0.6332, 0.6333, 0.6334, 0.6335, 0.6335999999999999, 0.6337, 0.6338, 0.6339, 0.634, 0.6341, 0.6342, 0.6343, 0.6344000000000001, 0.6345000000000001, 0.6346, 0.6347, 0.6348, 0.6349, 0.635, 0.6351, 0.6352, 0.6353, 0.6354, 0.6355, 0.6355999999999999, 0.6357, 0.6358, 0.6359, 0.636, 0.6361, 0.6362, 0.6363, 0.6364, 0.6365000000000001, 0.6366, 0.6367, 0.6368, 0.6369, 0.637, 0.6371, 0.6372, 0.6373, 0.6374, 0.6375, 0.6376, 0.6377, 0.6378, 0.6379, 0.638, 0.6381, 0.6382, 0.6383, 0.6384, 0.6385000000000001, 0.6386000000000001, 0.6387, 0.6388, 0.6389, 0.639, 0.6391, 0.6392, 0.6393, 0.6394, 0.6395, 0.6396, 0.6397, 0.6398, 0.6399, 0.64, 0.6401, 0.6402, 0.6403, 0.6404, 0.6405000000000001, 0.6406000000000001, 0.6407, 0.6408, 0.6409, 0.641, 0.6411, 0.6412, 0.6413, 0.6414, 0.6415, 0.6416, 0.6417, 0.6418, 0.6419, 0.642, 0.6421, 0.6422, 0.6423, 0.6424, 0.6425000000000001, 0.6426000000000001, 0.6427, 0.6428, 0.6429, 0.643, 0.6431, 0.6432, 0.6433, 0.6434, 0.6435, 0.6436, 0.6436999999999999, 0.6438, 0.6439, 0.644, 0.6441, 0.6442, 0.6443, 0.6444, 0.6445000000000001, 0.6446000000000001, 0.6447, 0.6448, 0.6449, 0.645, 0.6451, 0.6452, 0.6453, 0.6454, 0.6455, 0.6456, 0.6456999999999999, 0.6458, 0.6459, 0.646, 0.6461, 0.6462, 0.6463, 0.6464, 0.6465000000000001, 0.6466000000000001, 0.6467, 0.6468, 0.6469, 0.647, 0.6471, 0.6472, 0.6473, 0.6474, 0.6475, 0.6476, 0.6476999999999999, 0.6478, 0.6479, 0.648, 0.6481, 0.6482, 0.6483, 0.6484, 0.6485000000000001, 0.6486000000000001, 0.6487, 0.6488, 0.6489, 0.649, 0.6491, 0.6492, 0.6493, 0.6494, 0.6495, 0.6496, 0.6496999999999999, 0.6498, 0.6499, 0.65, 0.6501, 0.6502, 0.6503, 0.6504, 0.6505, 0.6506000000000001, 0.6507000000000001, 0.6508, 0.6509, 0.651, 0.6511, 0.6512, 0.6513, 0.6514, 0.6515, 0.6516, 0.6517, 0.6518, 0.6519, 0.652, 0.6521, 0.6522, 0.6523, 0.6524, 0.6525, 0.6526000000000001, 0.6527000000000001, 0.6528, 0.6529, 0.653, 0.6531, 0.6532, 0.6533, 0.6534, 0.6535, 0.6536, 0.6537, 0.6538, 0.6539, 0.654, 0.6541, 0.6542, 0.6543, 0.6544, 0.6545, 0.6546000000000001, 0.6547000000000001, 0.6548, 0.6549, 0.655, 0.6551, 0.6552, 0.6553, 0.6554, 0.6555, 0.6556, 0.6557, 0.6557999999999999, 0.6559, 0.656, 0.6561, 0.6562, 0.6563, 0.6564, 0.6565, 0.6566000000000001, 0.6567000000000001, 0.6568, 0.6569, 0.657, 0.6571, 0.6572, 0.6573, 0.6574, 0.6575, 0.6576, 0.6577, 0.6577999999999999, 0.6579, 0.658, 0.6581, 0.6582, 0.6583, 0.6584, 0.6585, 0.6586000000000001, 0.6587000000000001, 0.6588, 0.6589, 0.659, 0.6591, 0.6592, 0.6593, 0.6594, 0.6595, 0.6596, 0.6597, 0.6597999999999999, 0.6599, 0.66, 0.6601, 0.6602, 0.6603, 0.6604, 0.6605, 0.6606000000000001, 0.6607000000000001, 0.6608, 0.6609, 0.661, 0.6611, 0.6612, 0.6613, 0.6614, 0.6615, 0.6616, 0.6617, 0.6617999999999999, 0.6619, 0.662, 0.6621, 0.6622, 0.6623, 0.6624, 0.6625, 0.6626, 0.6627000000000001, 0.6628000000000001, 0.6629, 0.663, 0.6631, 0.6632, 0.6633, 0.6634, 0.6635, 0.6636, 0.6637, 0.6638, 0.6639, 0.664, 0.6641, 0.6642, 0.6643, 0.6644, 0.6645, 0.6646, 0.6647000000000001, 0.6648000000000001, 0.6649, 0.665, 0.6651, 0.6652, 0.6653, 0.6654, 0.6655, 0.6656, 0.6657, 0.6658, 0.6659, 0.666, 0.6661, 0.6662, 0.6663, 0.6664, 0.6665, 0.6666, 0.6667000000000001, 0.6668000000000001, 0.6669, 0.667, 0.6671, 0.6672, 0.6673, 0.6674, 0.6675, 0.6676, 0.6677, 0.6678, 0.6679, 0.668, 0.6681, 0.6682, 0.6683, 0.6684, 0.6685, 0.6686, 0.6687000000000001, 0.6688000000000001, 0.6689, 0.669, 0.6691, 0.6692, 0.6693, 0.6694, 0.6695, 0.6696, 0.6697, 0.6698, 0.6698999999999999, 0.67, 0.6701, 0.6702, 0.6703, 0.6704, 0.6705, 0.6706, 0.6707000000000001, 0.6708000000000001, 0.6709, 0.671, 0.6711, 0.6712, 0.6713, 0.6714, 0.6715, 0.6716, 0.6717, 0.6718, 0.6718999999999999, 0.672, 0.6721, 0.6722, 0.6723, 0.6724, 0.6725, 0.6726, 0.6727000000000001, 0.6728000000000001, 0.6729, 0.673, 0.6731, 0.6732, 0.6733, 0.6734, 0.6735, 0.6736, 0.6737, 0.6738, 0.6738999999999999, 0.674, 0.6741, 0.6742, 0.6743, 0.6744, 0.6745, 0.6746, 0.6747000000000001, 0.6748000000000001, 0.6749, 0.675, 0.6751, 0.6752, 0.6753, 0.6754, 0.6755, 0.6756, 0.6757, 0.6758, 0.6759, 0.676, 0.6761, 0.6762, 0.6763, 0.6764, 0.6765, 0.6766, 0.6767, 0.6768000000000001, 0.6769000000000001, 0.677, 0.6771, 0.6772, 0.6773, 0.6774, 0.6775, 0.6776, 0.6777, 0.6778, 0.6779, 0.678, 0.6781, 0.6782, 0.6783, 0.6784, 0.6785, 0.6786, 0.6787, 0.6788000000000001, 0.6789000000000001, 0.679, 0.6791, 0.6792, 0.6793, 0.6794, 0.6795, 0.6796, 0.6797, 0.6798, 0.6799, 0.68, 0.6801, 0.6802, 0.6803, 0.6804, 0.6805, 0.6806, 0.6807, 0.6808000000000001, 0.6809000000000001, 0.681, 0.6811, 0.6812, 0.6813, 0.6814, 0.6815, 0.6816, 0.6817, 0.6818, 0.6819, 0.6819999999999999, 0.6821, 0.6822, 0.6823, 0.6824, 0.6825, 0.6826, 0.6827, 0.6828000000000001, 0.6829000000000001, 0.683, 0.6831, 0.6832, 0.6833, 0.6834, 0.6835, 0.6836, 0.6837, 0.6838, 0.6839, 0.6839999999999999, 0.6841, 0.6842, 0.6843, 0.6844, 0.6845, 0.6846, 0.6847, 0.6848000000000001, 0.6849000000000001, 0.685, 0.6851, 0.6852, 0.6853, 0.6854, 0.6855, 0.6856, 0.6857, 0.6858, 0.6859, 0.6859999999999999, 0.6861, 0.6862, 0.6863, 0.6864, 0.6865, 0.6866, 0.6867, 0.6868000000000001, 0.6869000000000001, 0.687, 0.6871, 0.6872, 0.6873, 0.6874, 0.6875, 0.6876, 0.6877, 0.6878, 0.6879, 0.688, 0.6881, 0.6882, 0.6883, 0.6884, 0.6885, 0.6886, 0.6887, 0.6888, 0.6889000000000001, 0.6890000000000001, 0.6891, 0.6892, 0.6893, 0.6894, 0.6895, 0.6896, 0.6897, 0.6898, 0.6899, 0.69, 0.6901, 0.6902, 0.6903, 0.6904, 0.6905, 0.6906, 0.6907, 0.6908, 0.6909000000000001, 0.6910000000000001, 0.6911, 0.6912, 0.6913, 0.6914, 0.6915, 0.6916, 0.6917, 0.6918, 0.6919, 0.692, 0.6921, 0.6922, 0.6923, 0.6924, 0.6925, 0.6926, 0.6927, 0.6928, 0.6929000000000001, 0.6930000000000001, 0.6931, 0.6932, 0.6933, 0.6934, 0.6935, 0.6936, 0.6937, 0.6938, 0.6939, 0.694, 0.6941, 0.6942, 0.6943, 0.6944, 0.6945, 0.6946, 0.6947, 0.6948, 0.6949000000000001, 0.6950000000000001, 0.6951, 0.6952, 0.6953, 0.6954, 0.6955, 0.6956, 0.6957, 0.6958, 0.6959, 0.696, 0.6960999999999999, 0.6962, 0.6963, 0.6964, 0.6965, 0.6966, 0.6967, 0.6968, 0.6969000000000001, 0.6970000000000001, 0.6971, 0.6972, 0.6973, 0.6974, 0.6975, 0.6976, 0.6977, 0.6978, 0.6979, 0.698, 0.6980999999999999, 0.6982, 0.6983, 0.6984, 0.6985, 0.6986, 0.6987, 0.6988, 0.6989000000000001, 0.6990000000000001, 0.6991, 0.6992, 0.6993, 0.6994, 0.6995, 0.6996, 0.6997, 0.6998, 0.6999, 0.7, 0.7001, 0.7002, 0.7003, 0.7004, 0.7005, 0.7006, 0.7007, 0.7008, 0.7009000000000001, 0.7010000000000001, 0.7011000000000001, 0.7012, 0.7013, 0.7014, 0.7015, 0.7016, 0.7017, 0.7018, 0.7019, 0.702, 0.7021, 0.7022, 0.7023, 0.7024, 0.7025, 0.7026, 0.7027, 0.7028, 0.7029, 0.7030000000000001, 0.7031000000000001, 0.7032, 0.7033, 0.7034, 0.7035, 0.7036, 0.7037, 0.7038, 0.7039, 0.704, 0.7041, 0.7042, 0.7043, 0.7044, 0.7045, 0.7046, 0.7047, 0.7048, 0.7049, 0.7050000000000001, 0.7051000000000001, 0.7052, 0.7053, 0.7054, 0.7055, 0.7056, 0.7057, 0.7058, 0.7059, 0.706, 0.7061, 0.7062, 0.7063, 0.7064, 0.7065, 0.7066, 0.7067, 0.7068, 0.7069, 0.7070000000000001, 0.7071000000000001, 0.7072, 0.7073, 0.7074, 0.7075, 0.7076, 0.7077, 0.7078, 0.7079, 0.708, 0.7081, 0.7081999999999999, 0.7083, 0.7084, 0.7085, 0.7086, 0.7087, 0.7088, 0.7089, 0.7090000000000001, 0.7091000000000001, 0.7092, 0.7093, 0.7094, 0.7095, 0.7096, 0.7097, 0.7098, 0.7099, 0.71, 0.7101, 0.7101999999999999, 0.7103, 0.7104, 0.7105, 0.7106, 0.7107, 0.7108, 0.7109, 0.7110000000000001, 0.7111000000000001, 0.7112, 0.7113, 0.7114, 0.7115, 0.7116, 0.7117, 0.7118, 0.7119, 0.712, 0.7121, 0.7121999999999999, 0.7123, 0.7124, 0.7125, 0.7126, 0.7127, 0.7128, 0.7129, 0.7130000000000001, 0.7131000000000001, 0.7132000000000001, 0.7133, 0.7134, 0.7135, 0.7136, 0.7137, 0.7138, 0.7139, 0.714, 0.7141, 0.7142, 0.7143, 0.7144, 0.7145, 0.7146, 0.7147, 0.7148, 0.7149, 0.715, 0.7151000000000001, 0.7152000000000001, 0.7153, 0.7154, 0.7155, 0.7156, 0.7157, 0.7158, 0.7159, 0.716, 0.7161, 0.7162, 0.7163, 0.7164, 0.7165, 0.7166, 0.7167, 0.7168, 0.7169, 0.717, 0.7171000000000001, 0.7172000000000001, 0.7173, 0.7174, 0.7175, 0.7176, 0.7177, 0.7178, 0.7179, 0.718, 0.7181, 0.7182, 0.7183, 0.7184, 0.7185, 0.7186, 0.7187, 0.7188, 0.7189, 0.719, 0.7191000000000001, 0.7192000000000001, 0.7193, 0.7194, 0.7195, 0.7196, 0.7197, 0.7198, 0.7199, 0.72, 0.7201, 0.7202, 0.7203, 0.7204, 0.7205, 0.7206, 0.7207, 0.7208, 0.7209, 0.721, 0.7211000000000001, 0.7212000000000001, 0.7213, 0.7214, 0.7215, 0.7216, 0.7217, 0.7218, 0.7219, 0.722, 0.7221, 0.7222, 0.7222999999999999, 0.7224, 0.7225, 0.7226, 0.7227, 0.7228, 0.7229, 0.723, 0.7231000000000001, 0.7232000000000001, 0.7233, 0.7234, 0.7235, 0.7236, 0.7237, 0.7238, 0.7239, 0.724, 0.7241, 0.7242, 0.7242999999999999, 0.7244, 0.7245, 0.7246, 0.7247, 0.7248, 0.7249, 0.725, 0.7251000000000001, 0.7252000000000001, 0.7253000000000001, 0.7254, 0.7255, 0.7256, 0.7257, 0.7258, 0.7259, 0.726, 0.7261, 0.7262, 0.7263, 0.7264, 0.7265, 0.7266, 0.7267, 0.7268, 0.7269, 0.727, 0.7271000000000001, 0.7272000000000001, 0.7273000000000001, 0.7274, 0.7275, 0.7276, 0.7277, 0.7278, 0.7279, 0.728, 0.7281, 0.7282, 0.7283, 0.7284, 0.7285, 0.7286, 0.7287, 0.7288, 0.7289, 0.729, 0.7291, 0.7292000000000001, 0.7293000000000001, 0.7294, 0.7295, 0.7296, 0.7297, 0.7298, 0.7299, 0.73, 0.7301, 0.7302, 0.7303, 0.7304, 0.7305, 0.7306, 0.7307, 0.7308, 0.7309, 0.731, 0.7311, 0.7312000000000001, 0.7313000000000001, 0.7314, 0.7315, 0.7316, 0.7317, 0.7318, 0.7319, 0.732, 0.7321, 0.7322, 0.7323, 0.7324, 0.7325, 0.7326, 0.7327, 0.7328, 0.7329, 0.733, 0.7331, 0.7332000000000001, 0.7333000000000001, 0.7334, 0.7335, 0.7336, 0.7337, 0.7338, 0.7339, 0.734, 0.7341, 0.7342, 0.7343, 0.7344, 0.7345, 0.7346, 0.7347, 0.7348, 0.7349, 0.735, 0.7351, 0.7352000000000001, 0.7353000000000001, 0.7354, 0.7355, 0.7356, 0.7357, 0.7358, 0.7359, 0.736, 0.7361, 0.7362, 0.7363, 0.7363999999999999, 0.7365, 0.7366, 0.7367, 0.7368, 0.7369, 0.737, 0.7371, 0.7372000000000001, 0.7373000000000001, 0.7374, 0.7375, 0.7376, 0.7377, 0.7378, 0.7379, 0.738, 0.7381, 0.7382, 0.7383, 0.7384, 0.7385, 0.7386, 0.7387, 0.7388, 0.7389, 0.739, 0.7391, 0.7392000000000001, 0.7393000000000001, 0.7394000000000001, 0.7395, 0.7396, 0.7397, 0.7398, 0.7399, 0.74, 0.7401, 0.7402, 0.7403, 0.7404, 0.7405, 0.7406, 0.7407, 0.7408, 0.7409, 0.741, 0.7411, 0.7412, 0.7413000000000001, 0.7414000000000001, 0.7415, 0.7416, 0.7417, 0.7418, 0.7419, 0.742, 0.7421, 0.7422, 0.7423, 0.7424, 0.7425, 0.7426, 0.7427, 0.7428, 0.7429, 0.743, 0.7431, 0.7432, 0.7433000000000001, 0.7434000000000001, 0.7435, 0.7436, 0.7437, 0.7438, 0.7439, 0.744, 0.7441, 0.7442, 0.7443, 0.7444, 0.7445, 0.7446, 0.7447, 0.7448, 0.7449, 0.745, 0.7451, 0.7452, 0.7453000000000001, 0.7454000000000001, 0.7455, 0.7456, 0.7457, 0.7458, 0.7459, 0.746, 0.7461, 0.7462, 0.7463, 0.7464, 0.7465, 0.7466, 0.7467, 0.7468, 0.7469, 0.747, 0.7471, 0.7472, 0.7473000000000001, 0.7474000000000001, 0.7475, 0.7476, 0.7477, 0.7478, 0.7479, 0.748, 0.7481, 0.7482, 0.7483, 0.7484, 0.7484999999999999, 0.7486, 0.7487, 0.7488, 0.7489, 0.749, 0.7491, 0.7492, 0.7493000000000001, 0.7494000000000001, 0.7495, 0.7496, 0.7497, 0.7498, 0.7499, 0.75, 0.7501, 0.7502, 0.7503, 0.7504, 0.7505, 0.7505999999999999, 0.7507, 0.7508, 0.7509, 0.751, 0.7511, 0.7512000000000001, 0.7513000000000001, 0.7514000000000001, 0.7515000000000001, 0.7516, 0.7517, 0.7518, 0.7519, 0.752, 0.7521, 0.7522, 0.7523, 0.7524, 0.7525, 0.7525999999999999, 0.7527, 0.7528, 0.7529, 0.753, 0.7531, 0.7532000000000001, 0.7533000000000001, 0.7534000000000001, 0.7535000000000001, 0.7536, 0.7537, 0.7538, 0.7539, 0.754, 0.7541, 0.7542, 0.7543, 0.7544, 0.7545, 0.7545999999999999, 0.7547, 0.7548, 0.7549, 0.755, 0.7551, 0.7552000000000001, 0.7553000000000001, 0.7554000000000001, 0.7555000000000001, 0.7556, 0.7557, 0.7558, 0.7559, 0.756, 0.7561, 0.7562, 0.7563, 0.7564, 0.7565, 0.7565999999999999, 0.7567, 0.7568, 0.7569, 0.757, 0.7571, 0.7572000000000001, 0.7573000000000001, 0.7574000000000001, 0.7575000000000001, 0.7576, 0.7577, 0.7578, 0.7579, 0.758, 0.7581, 0.7582, 0.7583, 0.7584, 0.7585, 0.7585999999999999, 0.7586999999999999, 0.7588, 0.7589, 0.759, 0.7591, 0.7592, 0.7593000000000001, 0.7594000000000001, 0.7595000000000001, 0.7596, 0.7597, 0.7598, 0.7599, 0.76, 0.7601, 0.7602, 0.7603, 0.7604, 0.7605, 0.7605999999999999, 0.7606999999999999, 0.7608, 0.7609, 0.761, 0.7611, 0.7612, 0.7613000000000001, 0.7614000000000001, 0.7615000000000001, 0.7616, 0.7617, 0.7618, 0.7619, 0.762, 0.7621, 0.7622, 0.7623, 0.7624, 0.7625, 0.7626, 0.7626999999999999, 0.7628, 0.7629, 0.763, 0.7631, 0.7632, 0.7633000000000001, 0.7634000000000001, 0.7635000000000001, 0.7636000000000001, 0.7637, 0.7638, 0.7639, 0.764, 0.7641, 0.7642, 0.7643, 0.7644, 0.7645, 0.7646, 0.7646999999999999, 0.7648, 0.7649, 0.765, 0.7651, 0.7652, 0.7653000000000001, 0.7654000000000001, 0.7655000000000001, 0.7656000000000001, 0.7657, 0.7658, 0.7659, 0.766, 0.7661, 0.7662, 0.7663, 0.7664, 0.7665, 0.7666, 0.7666999999999999, 0.7668, 0.7669, 0.767, 0.7671, 0.7672, 0.7673000000000001, 0.7674000000000001, 0.7675000000000001, 0.7676000000000001, 0.7677, 0.7678, 0.7679, 0.768, 0.7681, 0.7682, 0.7683, 0.7684, 0.7685, 0.7686, 0.7686999999999999, 0.7688, 0.7689, 0.769, 0.7691, 0.7692, 0.7693000000000001, 0.7694000000000001, 0.7695000000000001, 0.7696000000000001, 0.7697, 0.7698, 0.7699, 0.77, 0.7701, 0.7702, 0.7703, 0.7704, 0.7705, 0.7706, 0.7706999999999999, 0.7708, 0.7709, 0.771, 0.7711, 0.7712, 0.7713, 0.7714000000000001, 0.7715000000000001, 0.7716000000000001, 0.7717, 0.7718, 0.7719, 0.772, 0.7721, 0.7722, 0.7723, 0.7724, 0.7725, 0.7726, 0.7726999999999999, 0.7727999999999999, 0.7729, 0.773, 0.7731, 0.7732, 0.7733, 0.7734000000000001, 0.7735000000000001, 0.7736000000000001, 0.7737, 0.7738, 0.7739, 0.774, 0.7741, 0.7742, 0.7743, 0.7744, 0.7745, 0.7746, 0.7746999999999999, 0.7747999999999999, 0.7749, 0.775, 0.7751, 0.7752, 0.7753, 0.7754000000000001, 0.7755000000000001, 0.7756000000000001, 0.7757000000000001, 0.7758, 0.7759, 0.776, 0.7761, 0.7762, 0.7763, 0.7764, 0.7765, 0.7766, 0.7767, 0.7767999999999999, 0.7769, 0.777, 0.7771, 0.7772, 0.7773, 0.7774000000000001, 0.7775000000000001, 0.7776000000000001, 0.7777000000000001, 0.7778, 0.7779, 0.778, 0.7781, 0.7782, 0.7783, 0.7784, 0.7785, 0.7786, 0.7787, 0.7787999999999999, 0.7789, 0.779, 0.7791, 0.7792, 0.7793, 0.7794000000000001, 0.7795000000000001, 0.7796000000000001, 0.7797000000000001, 0.7798, 0.7799, 0.78, 0.7801, 0.7802, 0.7803, 0.7804, 0.7805, 0.7806, 0.7807, 0.7807999999999999, 0.7809, 0.781, 0.7811, 0.7812, 0.7813, 0.7814000000000001, 0.7815000000000001, 0.7816000000000001, 0.7817000000000001, 0.7818, 0.7819, 0.782, 0.7821, 0.7822, 0.7823, 0.7824, 0.7825, 0.7826, 0.7827, 0.7827999999999999, 0.7829, 0.783, 0.7831, 0.7832, 0.7833, 0.7834000000000001, 0.7835000000000001, 0.7836000000000001, 0.7837000000000001, 0.7838, 0.7839, 0.784, 0.7841, 0.7842, 0.7843, 0.7844, 0.7845, 0.7846, 0.7847, 0.7847999999999999, 0.7848999999999999, 0.785, 0.7851, 0.7852, 0.7853, 0.7854, 0.7855000000000001, 0.7856000000000001, 0.7857000000000001, 0.7858, 0.7859, 0.786, 0.7861, 0.7862, 0.7863, 0.7864, 0.7865, 0.7866, 0.7867, 0.7867999999999999, 0.7868999999999999, 0.787, 0.7871, 0.7872, 0.7873, 0.7874, 0.7875000000000001, 0.7876000000000001, 0.7877000000000001, 0.7878000000000001, 0.7879, 0.788, 0.7881, 0.7882, 0.7883, 0.7884, 0.7885, 0.7886, 0.7887, 0.7888, 0.7888999999999999, 0.789, 0.7891, 0.7892, 0.7893, 0.7894, 0.7895000000000001, 0.7896000000000001, 0.7897000000000001, 0.7898000000000001, 0.7899, 0.79, 0.7901, 0.7902, 0.7903, 0.7904, 0.7905, 0.7906, 0.7907, 0.7908, 0.7908999999999999, 0.791, 0.7911, 0.7912, 0.7913, 0.7914, 0.7915000000000001, 0.7916000000000001, 0.7917000000000001, 0.7918000000000001, 0.7919, 0.792, 0.7921, 0.7922, 0.7923, 0.7924, 0.7925, 0.7926, 0.7927, 0.7928, 0.7928999999999999, 0.793, 0.7931, 0.7932, 0.7933, 0.7934, 0.7935000000000001, 0.7936000000000001, 0.7937000000000001, 0.7938000000000001, 0.7939, 0.794, 0.7941, 0.7942, 0.7943, 0.7944, 0.7945, 0.7946, 0.7947, 0.7948, 0.7948999999999999, 0.795, 0.7951, 0.7952, 0.7953, 0.7954, 0.7955000000000001, 0.7956000000000001, 0.7957000000000001, 0.7958000000000001, 0.7959, 0.796, 0.7961, 0.7962, 0.7963, 0.7964, 0.7965, 0.7966, 0.7967, 0.7968, 0.7968999999999999, 0.797, 0.7971, 0.7972, 0.7973, 0.7974, 0.7975, 0.7976000000000001, 0.7977000000000001, 0.7978000000000001, 0.7979, 0.798, 0.7981, 0.7982, 0.7983, 0.7984, 0.7985, 0.7986, 0.7987, 0.7988, 0.7988999999999999, 0.7989999999999999, 0.7991, 0.7992, 0.7993, 0.7994, 0.7995, 0.7996000000000001, 0.7997000000000001, 0.7998000000000001, 0.7999, 0.8, 0.8001, 0.8002, 0.8003, 0.8004, 0.8005, 0.8006, 0.8007, 0.8008, 0.8009, 0.8009999999999999, 0.8011, 0.8012, 0.8013, 0.8014, 0.8015, 0.8016000000000001, 0.8017000000000001, 0.8018000000000001, 0.8019000000000001, 0.802, 0.8021, 0.8022, 0.8023, 0.8024, 0.8025, 0.8026, 0.8027, 0.8028, 0.8029, 0.8029999999999999, 0.8031, 0.8032, 0.8033, 0.8034, 0.8035, 0.8036000000000001, 0.8037000000000001, 0.8038000000000001, 0.8039000000000001, 0.804, 0.8041, 0.8042, 0.8043, 0.8044, 0.8045, 0.8046, 0.8047, 0.8048, 0.8049, 0.8049999999999999, 0.8051, 0.8052, 0.8053, 0.8054, 0.8055, 0.8056000000000001, 0.8057000000000001, 0.8058000000000001, 0.8059000000000001, 0.806, 0.8061, 0.8062, 0.8063, 0.8064, 0.8065, 0.8066, 0.8067, 0.8068, 0.8069, 0.8069999999999999, 0.8071, 0.8072, 0.8073, 0.8074, 0.8075, 0.8076000000000001, 0.8077000000000001, 0.8078000000000001, 0.8079000000000001, 0.808, 0.8081, 0.8082, 0.8083, 0.8084, 0.8085, 0.8086, 0.8087, 0.8088, 0.8089, 0.8089999999999999, 0.8091, 0.8092, 0.8093, 0.8094, 0.8095, 0.8096000000000001, 0.8097000000000001, 0.8098000000000001, 0.8099000000000001, 0.81, 0.8101, 0.8102, 0.8103, 0.8104, 0.8105, 0.8106, 0.8107, 0.8108, 0.8109, 0.8109999999999999, 0.8110999999999999, 0.8112, 0.8113, 0.8114, 0.8115, 0.8116, 0.8117000000000001, 0.8118000000000001, 0.8119000000000001, 0.812, 0.8121, 0.8122, 0.8123, 0.8124, 0.8125, 0.8126, 0.8127, 0.8128, 0.8129, 0.813, 0.8130999999999999, 0.8132, 0.8133, 0.8134, 0.8135, 0.8136, 0.8137000000000001, 0.8138000000000001, 0.8139000000000001, 0.8140000000000001, 0.8141, 0.8142, 0.8143, 0.8144, 0.8145, 0.8146, 0.8147, 0.8148, 0.8149, 0.815, 0.8150999999999999, 0.8152, 0.8153, 0.8154, 0.8155, 0.8156, 0.8157000000000001, 0.8158000000000001, 0.8159000000000001, 0.8160000000000001, 0.8161, 0.8162, 0.8163, 0.8164, 0.8165, 0.8166, 0.8167, 0.8168, 0.8169, 0.817, 0.8170999999999999, 0.8172, 0.8173, 0.8174, 0.8175, 0.8176, 0.8177000000000001, 0.8178000000000001, 0.8179000000000001, 0.8180000000000001, 0.8181, 0.8182, 0.8183, 0.8184, 0.8185, 0.8186, 0.8187, 0.8188, 0.8189, 0.819, 0.8190999999999999, 0.8192, 0.8193, 0.8194, 0.8195, 0.8196, 0.8197000000000001, 0.8198000000000001, 0.8199000000000001, 0.8200000000000001, 0.8201, 0.8202, 0.8203, 0.8204, 0.8205, 0.8206, 0.8207, 0.8208, 0.8209, 0.821, 0.8210999999999999, 0.8212, 0.8213, 0.8214, 0.8215, 0.8216, 0.8217000000000001, 0.8218000000000001, 0.8219000000000001, 0.8220000000000001, 0.8221, 0.8222, 0.8223, 0.8224, 0.8225, 0.8226, 0.8227, 0.8228, 0.8229, 0.823, 0.8230999999999999, 0.8232, 0.8233, 0.8234, 0.8235, 0.8236, 0.8237000000000001, 0.8238000000000001, 0.8239000000000001, 0.8240000000000001, 0.8241, 0.8242, 0.8243, 0.8244, 0.8245, 0.8246, 0.8247, 0.8248, 0.8249, 0.825, 0.8251, 0.8251999999999999, 0.8253, 0.8254, 0.8255, 0.8256, 0.8257, 0.8258000000000001, 0.8259000000000001, 0.8260000000000001, 0.8261000000000001, 0.8262, 0.8263, 0.8264, 0.8265, 0.8266, 0.8267, 0.8268, 0.8269, 0.827, 0.8271, 0.8271999999999999, 0.8273, 0.8274, 0.8275, 0.8276, 0.8277, 0.8278000000000001, 0.8279000000000001, 0.8280000000000001, 0.8281000000000001, 0.8282, 0.8283, 0.8284, 0.8285, 0.8286, 0.8287, 0.8288, 0.8289, 0.829, 0.8291, 0.8291999999999999, 0.8293, 0.8294, 0.8295, 0.8296, 0.8297, 0.8298000000000001, 0.8299000000000001, 0.8300000000000001, 0.8301000000000001, 0.8302, 0.8303, 0.8304, 0.8305, 0.8306, 0.8307, 0.8308, 0.8309, 0.831, 0.8311, 0.8311999999999999, 0.8313, 0.8314, 0.8315, 0.8316, 0.8317, 0.8318000000000001, 0.8319000000000001, 0.8320000000000001, 0.8321000000000001, 0.8322, 0.8323, 0.8324, 0.8325, 0.8326, 0.8327, 0.8328, 0.8329, 0.833, 0.8331, 0.8331999999999999, 0.8333, 0.8334, 0.8335, 0.8336, 0.8337, 0.8338000000000001, 0.8339000000000001, 0.8340000000000001, 0.8341000000000001, 0.8342, 0.8343, 0.8344, 0.8345, 0.8346, 0.8347, 0.8348, 0.8349, 0.835, 0.8351, 0.8351999999999999, 0.8353, 0.8354, 0.8355, 0.8356, 0.8357, 0.8358000000000001, 0.8359000000000001, 0.8360000000000001, 0.8361000000000001, 0.8362, 0.8363, 0.8364, 0.8365, 0.8366, 0.8367, 0.8368, 0.8369, 0.837, 0.8371, 0.8371999999999999, 0.8372999999999999, 0.8374, 0.8375, 0.8376, 0.8377, 0.8378, 0.8379000000000001, 0.8380000000000001, 0.8381000000000001, 0.8382000000000001, 0.8383, 0.8384, 0.8385, 0.8386, 0.8387, 0.8388, 0.8389, 0.839, 0.8391, 0.8392, 0.8392999999999999, 0.8394, 0.8395, 0.8396, 0.8397, 0.8398, 0.8399000000000001, 0.8400000000000001, 0.8401000000000001, 0.8402000000000001, 0.8403, 0.8404, 0.8405, 0.8406, 0.8407, 0.8408, 0.8409, 0.841, 0.8411, 0.8412, 0.8412999999999999, 0.8414, 0.8415, 0.8416, 0.8417, 0.8418, 0.8419000000000001, 0.8420000000000001, 0.8421000000000001, 0.8422000000000001, 0.8423, 0.8424, 0.8425, 0.8426, 0.8427, 0.8428, 0.8429, 0.843, 0.8431, 0.8432, 0.8432999999999999, 0.8434, 0.8435, 0.8436, 0.8437, 0.8438, 0.8439000000000001, 0.8440000000000001, 0.8441000000000001, 0.8442000000000001, 0.8443, 0.8444, 0.8445, 0.8446, 0.8447, 0.8448, 0.8449, 0.845, 0.8451, 0.8452, 0.8452999999999999, 0.8454, 0.8455, 0.8456, 0.8457, 0.8458, 0.8459000000000001, 0.8460000000000001, 0.8461000000000001, 0.8462000000000001, 0.8463, 0.8464, 0.8465, 0.8466, 0.8467, 0.8468, 0.8469, 0.847, 0.8471, 0.8472, 0.8472999999999999, 0.8474, 0.8475, 0.8476, 0.8477, 0.8478, 0.8479000000000001, 0.8480000000000001, 0.8481000000000001, 0.8482000000000001, 0.8483, 0.8484, 0.8485, 0.8486, 0.8487, 0.8488, 0.8489, 0.849, 0.8491, 0.8492, 0.8492999999999999, 0.8494, 0.8495, 0.8496, 0.8497, 0.8498, 0.8499000000000001, 0.8500000000000001, 0.8501000000000001, 0.8502000000000001, 0.8503000000000001, 0.8504, 0.8505, 0.8506, 0.8507, 0.8508, 0.8509, 0.851, 0.8511, 0.8512, 0.8513, 0.8513999999999999, 0.8515, 0.8516, 0.8517, 0.8518, 0.8519, 0.8520000000000001, 0.8521000000000001, 0.8522000000000001, 0.8523000000000001, 0.8524, 0.8525, 0.8526, 0.8527, 0.8528, 0.8529, 0.853, 0.8531, 0.8532, 0.8533, 0.8533999999999999, 0.8535, 0.8536, 0.8537, 0.8538, 0.8539, 0.8540000000000001, 0.8541000000000001, 0.8542000000000001, 0.8543000000000001, 0.8544, 0.8545, 0.8546, 0.8547, 0.8548, 0.8549, 0.855, 0.8551, 0.8552, 0.8553, 0.8553999999999999, 0.8555, 0.8556, 0.8557, 0.8558, 0.8559, 0.8560000000000001, 0.8561000000000001, 0.8562000000000001, 0.8563000000000001, 0.8564, 0.8565, 0.8566, 0.8567, 0.8568, 0.8569, 0.857, 0.8571, 0.8572, 0.8573, 0.8573999999999999, 0.8575, 0.8576, 0.8577, 0.8578, 0.8579, 0.8580000000000001, 0.8581000000000001, 0.8582000000000001, 0.8583000000000001, 0.8584, 0.8585, 0.8586, 0.8587, 0.8588, 0.8589, 0.859, 0.8591, 0.8592, 0.8593, 0.8593999999999999, 0.8595, 0.8596, 0.8597, 0.8598, 0.8599, 0.8600000000000001, 0.8601000000000001, 0.8602000000000001, 0.8603000000000001, 0.8604, 0.8605, 0.8606, 0.8607, 0.8608, 0.8609, 0.861, 0.8611, 0.8612, 0.8613, 0.8613999999999999, 0.8615, 0.8616, 0.8617, 0.8618, 0.8619, 0.8620000000000001, 0.8621000000000001, 0.8622000000000001, 0.8623000000000001, 0.8624, 0.8625, 0.8626, 0.8627, 0.8628, 0.8629, 0.863, 0.8631, 0.8632, 0.8633, 0.8634, 0.8634999999999999, 0.8636, 0.8637, 0.8638, 0.8639, 0.864, 0.8641000000000001, 0.8642000000000001, 0.8643000000000001, 0.8644000000000001, 0.8645, 0.8646, 0.8647, 0.8648, 0.8649, 0.865, 0.8651, 0.8652, 0.8653, 0.8654, 0.8654999999999999, 0.8656, 0.8657, 0.8658, 0.8659, 0.866, 0.8661000000000001, 0.8662000000000001, 0.8663000000000001, 0.8664000000000001, 0.8665, 0.8666, 0.8667, 0.8668, 0.8669, 0.867, 0.8671, 0.8672, 0.8673, 0.8674, 0.8674999999999999, 0.8676, 0.8677, 0.8678, 0.8679, 0.868, 0.8681000000000001, 0.8682000000000001, 0.8683000000000001, 0.8684000000000001, 0.8685, 0.8686, 0.8687, 0.8688, 0.8689, 0.869, 0.8691, 0.8692, 0.8693, 0.8694, 0.8694999999999999, 0.8696, 0.8697, 0.8698, 0.8699, 0.87, 0.8701000000000001, 0.8702000000000001, 0.8703000000000001, 0.8704000000000001, 0.8705, 0.8706, 0.8707, 0.8708, 0.8709, 0.871, 0.8711, 0.8712, 0.8713, 0.8714, 0.8714999999999999, 0.8716, 0.8717, 0.8718, 0.8719, 0.872, 0.8721000000000001, 0.8722000000000001, 0.8723000000000001, 0.8724000000000001, 0.8725, 0.8726, 0.8727, 0.8728, 0.8729, 0.873, 0.8731, 0.8732, 0.8733, 0.8734, 0.8734999999999999, 0.8736, 0.8737, 0.8738, 0.8739, 0.874, 0.8741000000000001, 0.8742000000000001, 0.8743000000000001, 0.8744000000000001, 0.8745, 0.8746, 0.8747, 0.8748, 0.8749, 0.875, 0.8751, 0.8752, 0.8753, 0.8754, 0.8755, 0.8756, 0.8757, 0.8758, 0.8759, 0.876, 0.8761000000000001, 0.8762000000000001, 0.8763000000000001, 0.8764000000000001, 0.8765000000000001, 0.8766, 0.8767, 0.8768, 0.8769, 0.877, 0.8771, 0.8772, 0.8773, 0.8774, 0.8775, 0.8775999999999999, 0.8777, 0.8778, 0.8779, 0.878, 0.8781, 0.8782000000000001, 0.8783000000000001, 0.8784000000000001, 0.8785000000000001, 0.8786, 0.8787, 0.8788, 0.8789, 0.879, 0.8791, 0.8792, 0.8793, 0.8794, 0.8795, 0.8795999999999999, 0.8797, 0.8798, 0.8799, 0.88, 0.8801, 0.8802000000000001, 0.8803000000000001, 0.8804000000000001, 0.8805000000000001, 0.8806, 0.8807, 0.8808, 0.8809, 0.881, 0.8811, 0.8812, 0.8813, 0.8814, 0.8815, 0.8815999999999999, 0.8817, 0.8818, 0.8819, 0.882, 0.8821, 0.8822000000000001, 0.8823000000000001, 0.8824000000000001, 0.8825000000000001, 0.8826, 0.8827, 0.8828, 0.8829, 0.883, 0.8831, 0.8832, 0.8833, 0.8834, 0.8835, 0.8835999999999999, 0.8837, 0.8838, 0.8839, 0.884, 0.8841, 0.8842000000000001, 0.8843000000000001, 0.8844000000000001, 0.8845000000000001, 0.8846, 0.8847, 0.8848, 0.8849, 0.885, 0.8851, 0.8852, 0.8853, 0.8854, 0.8855, 0.8855999999999999, 0.8857, 0.8858, 0.8859, 0.886, 0.8861, 0.8862000000000001, 0.8863000000000001, 0.8864000000000001, 0.8865000000000001, 0.8866, 0.8867, 0.8868, 0.8869, 0.887, 0.8871, 0.8872, 0.8873, 0.8874, 0.8875, 0.8876, 0.8877, 0.8878, 0.8879, 0.888, 0.8881, 0.8882000000000001, 0.8883000000000001, 0.8884000000000001, 0.8885000000000001, 0.8886000000000001, 0.8887, 0.8888, 0.8889, 0.889, 0.8891, 0.8892, 0.8893, 0.8894, 0.8895, 0.8896, 0.8897, 0.8898, 0.8899, 0.89, 0.8901, 0.8902, 0.8903000000000001, 0.8904000000000001, 0.8905000000000001, 0.8906000000000001, 0.8907, 0.8908, 0.8909, 0.891, 0.8911, 0.8912, 0.8913, 0.8914, 0.8915, 0.8916, 0.8916999999999999, 0.8918, 0.8919, 0.892, 0.8921, 0.8922, 0.8923000000000001, 0.8924000000000001, 0.8925000000000001, 0.8926000000000001, 0.8927, 0.8928, 0.8929, 0.893, 0.8931, 0.8932, 0.8933, 0.8934, 0.8935, 0.8936, 0.8936999999999999, 0.8938, 0.8939, 0.894, 0.8941, 0.8942, 0.8943000000000001, 0.8944000000000001, 0.8945000000000001, 0.8946000000000001, 0.8947, 0.8948, 0.8949, 0.895, 0.8951, 0.8952, 0.8953, 0.8954, 0.8955, 0.8956, 0.8956999999999999, 0.8958, 0.8959, 0.896, 0.8961, 0.8962, 0.8963000000000001, 0.8964000000000001, 0.8965000000000001, 0.8966000000000001, 0.8967, 0.8968, 0.8969, 0.897, 0.8971, 0.8972, 0.8973, 0.8974, 0.8975, 0.8976, 0.8976999999999999, 0.8978, 0.8979, 0.898, 0.8981, 0.8982, 0.8983000000000001, 0.8984000000000001, 0.8985000000000001, 0.8986000000000001, 0.8987, 0.8988, 0.8989, 0.899, 0.8991, 0.8992, 0.8993, 0.8994, 0.8995, 0.8996, 0.8996999999999999, 0.8998, 0.8999, 0.9, 0.9001, 0.9002, 0.9003000000000001, 0.9004000000000001, 0.9005000000000001, 0.9006000000000001, 0.9007000000000001, 0.9008, 0.9009, 0.901, 0.9011, 0.9012, 0.9013, 0.9014, 0.9015, 0.9016, 0.9017, 0.9018, 0.9019, 0.902, 0.9021, 0.9022, 0.9023000000000001, 0.9024000000000001, 0.9025000000000001, 0.9026000000000001, 0.9027000000000001, 0.9028, 0.9029, 0.903, 0.9031, 0.9032, 0.9033, 0.9034, 0.9035, 0.9036, 0.9037, 0.9037999999999999, 0.9039, 0.904, 0.9041, 0.9042, 0.9043, 0.9044000000000001, 0.9045000000000001, 0.9046000000000001, 0.9047000000000001, 0.9048, 0.9049, 0.905, 0.9051, 0.9052, 0.9053, 0.9054, 0.9055, 0.9056, 0.9057, 0.9057999999999999, 0.9059, 0.906, 0.9061, 0.9062, 0.9063, 0.9064000000000001, 0.9065000000000001, 0.9066000000000001, 0.9067000000000001, 0.9068, 0.9069, 0.907, 0.9071, 0.9072, 0.9073, 0.9074, 0.9075, 0.9076, 0.9077, 0.9077999999999999, 0.9079, 0.908, 0.9081, 0.9082, 0.9083, 0.9084000000000001, 0.9085000000000001, 0.9086000000000001, 0.9087000000000001, 0.9088, 0.9089, 0.909, 0.9091, 0.9092, 0.9093, 0.9094, 0.9095, 0.9096, 0.9097, 0.9097999999999999, 0.9099, 0.91, 0.9101, 0.9102, 0.9103, 0.9104000000000001, 0.9105000000000001, 0.9106000000000001, 0.9107000000000001, 0.9108, 0.9109, 0.911, 0.9111, 0.9112, 0.9113, 0.9114, 0.9115, 0.9116, 0.9117, 0.9117999999999999, 0.9119, 0.912, 0.9121, 0.9122, 0.9123, 0.9124000000000001, 0.9125000000000001, 0.9126000000000001, 0.9127000000000001, 0.9128000000000001, 0.9129, 0.913, 0.9131, 0.9132, 0.9133, 0.9134, 0.9135, 0.9136, 0.9137, 0.9138, 0.9139, 0.914, 0.9141, 0.9142, 0.9143, 0.9144000000000001, 0.9145000000000001, 0.9146000000000001, 0.9147000000000001, 0.9148000000000001, 0.9149, 0.915, 0.9151, 0.9152, 0.9153, 0.9154, 0.9155, 0.9156, 0.9157, 0.9158, 0.9159, 0.916, 0.9161, 0.9162, 0.9163, 0.9164, 0.9165000000000001, 0.9166000000000001, 0.9167000000000001, 0.9168000000000001, 0.9169, 0.917, 0.9171, 0.9172, 0.9173, 0.9174, 0.9175, 0.9176, 0.9177, 0.9178, 0.9178999999999999, 0.918, 0.9181, 0.9182, 0.9183, 0.9184, 0.9185000000000001, 0.9186000000000001, 0.9187000000000001, 0.9188000000000001, 0.9189, 0.919, 0.9191, 0.9192, 0.9193, 0.9194, 0.9195, 0.9196, 0.9197, 0.9198, 0.9198999999999999, 0.92, 0.9201, 0.9202, 0.9203, 0.9204, 0.9205000000000001, 0.9206000000000001, 0.9207000000000001, 0.9208000000000001, 0.9209, 0.921, 0.9211, 0.9212, 0.9213, 0.9214, 0.9215, 0.9216, 0.9217, 0.9218, 0.9218999999999999, 0.922, 0.9221, 0.9222, 0.9223, 0.9224, 0.9225000000000001, 0.9226000000000001, 0.9227000000000001, 0.9228000000000001, 0.9229, 0.923, 0.9231, 0.9232, 0.9233, 0.9234, 0.9235, 0.9236, 0.9237, 0.9238, 0.9238999999999999, 0.924, 0.9241, 0.9242, 0.9243, 0.9244, 0.9245000000000001, 0.9246000000000001, 0.9247000000000001, 0.9248000000000001, 0.9249, 0.925, 0.9251, 0.9252, 0.9253, 0.9254, 0.9255, 0.9256, 0.9257, 0.9258, 0.9259, 0.926, 0.9261, 0.9262, 0.9263, 0.9264, 0.9265000000000001, 0.9266000000000001, 0.9267000000000001, 0.9268000000000001, 0.9269000000000001, 0.927, 0.9271, 0.9272, 0.9273, 0.9274, 0.9275, 0.9276, 0.9277, 0.9278, 0.9279, 0.928, 0.9281, 0.9282, 0.9283, 0.9284, 0.9285000000000001, 0.9286000000000001, 0.9287000000000001, 0.9288000000000001, 0.9289000000000001, 0.929, 0.9291, 0.9292, 0.9293, 0.9294, 0.9295, 0.9296, 0.9297, 0.9298, 0.9299, 0.9299999999999999, 0.9301, 0.9302, 0.9303, 0.9304, 0.9305, 0.9306000000000001, 0.9307000000000001, 0.9308000000000001, 0.9309000000000001, 0.931, 0.9311, 0.9312, 0.9313, 0.9314, 0.9315, 0.9316, 0.9317, 0.9318, 0.9319, 0.9319999999999999, 0.9321, 0.9322, 0.9323, 0.9324, 0.9325, 0.9326000000000001, 0.9327000000000001, 0.9328000000000001, 0.9329000000000001, 0.933, 0.9331, 0.9332, 0.9333, 0.9334, 0.9335, 0.9336, 0.9337, 0.9338, 0.9339, 0.9339999999999999, 0.9341, 0.9342, 0.9343, 0.9344, 0.9345, 0.9346000000000001, 0.9347000000000001, 0.9348000000000001, 0.9349000000000001, 0.935, 0.9351, 0.9352, 0.9353, 0.9354, 0.9355, 0.9356, 0.9357, 0.9358, 0.9359, 0.9359999999999999, 0.9361, 0.9362, 0.9363, 0.9364, 0.9365, 0.9366000000000001, 0.9367000000000001, 0.9368000000000001, 0.9369000000000001, 0.937, 0.9371, 0.9372, 0.9373, 0.9374, 0.9375, 0.9376, 0.9377, 0.9378, 0.9379, 0.938, 0.9381, 0.9382, 0.9383, 0.9384, 0.9385, 0.9386000000000001, 0.9387000000000001, 0.9388000000000001, 0.9389000000000001, 0.9390000000000001, 0.9391, 0.9392, 0.9393, 0.9394, 0.9395, 0.9396, 0.9397, 0.9398, 0.9399, 0.94, 0.9401, 0.9402, 0.9403, 0.9404, 0.9405, 0.9406000000000001, 0.9407000000000001, 0.9408000000000001, 0.9409000000000001, 0.9410000000000001, 0.9411, 0.9412, 0.9413, 0.9414, 0.9415, 0.9416, 0.9417, 0.9418, 0.9419, 0.942, 0.9421, 0.9422, 0.9423, 0.9424, 0.9425, 0.9426000000000001, 0.9427000000000001, 0.9428000000000001, 0.9429000000000001, 0.9430000000000001, 0.9431, 0.9432, 0.9433, 0.9434, 0.9435, 0.9436, 0.9437, 0.9438, 0.9439, 0.944, 0.9440999999999999, 0.9442, 0.9443, 0.9444, 0.9445, 0.9446, 0.9447000000000001, 0.9448000000000001, 0.9449000000000001, 0.9450000000000001, 0.9451, 0.9452, 0.9453, 0.9454, 0.9455, 0.9456, 0.9457, 0.9458, 0.9459, 0.946, 0.9460999999999999, 0.9462, 0.9463, 0.9464, 0.9465, 0.9466, 0.9467000000000001, 0.9468000000000001, 0.9469000000000001, 0.9470000000000001, 0.9471, 0.9472, 0.9473, 0.9474, 0.9475, 0.9476, 0.9477, 0.9478, 0.9479, 0.948, 0.9480999999999999, 0.9482, 0.9483, 0.9484, 0.9485, 0.9486, 0.9487000000000001, 0.9488000000000001, 0.9489000000000001, 0.9490000000000001, 0.9491, 0.9492, 0.9493, 0.9494, 0.9495, 0.9496, 0.9497, 0.9498, 0.9499, 0.95, 0.9501, 0.9502, 0.9503, 0.9504, 0.9505, 0.9506, 0.9507000000000001, 0.9508000000000001, 0.9509000000000001, 0.9510000000000001, 0.9511000000000001, 0.9512, 0.9513, 0.9514, 0.9515, 0.9516, 0.9517, 0.9518, 0.9519, 0.952, 0.9521, 0.9522, 0.9523, 0.9524, 0.9525, 0.9526, 0.9527000000000001, 0.9528000000000001, 0.9529000000000001, 0.9530000000000001, 0.9531000000000001, 0.9532, 0.9533, 0.9534, 0.9535, 0.9536, 0.9537, 0.9538, 0.9539, 0.954, 0.9541, 0.9542, 0.9543, 0.9544, 0.9545, 0.9546, 0.9547000000000001, 0.9548000000000001, 0.9549000000000001, 0.9550000000000001, 0.9551000000000001, 0.9552, 0.9553, 0.9554, 0.9555, 0.9556, 0.9557, 0.9558, 0.9559, 0.956, 0.9561, 0.9561999999999999, 0.9563, 0.9564, 0.9565, 0.9566, 0.9567, 0.9568000000000001, 0.9569000000000001, 0.9570000000000001, 0.9571000000000001, 0.9572, 0.9573, 0.9574, 0.9575, 0.9576, 0.9577, 0.9578, 0.9579, 0.958, 0.9581, 0.9581999999999999, 0.9583, 0.9584, 0.9585, 0.9586, 0.9587, 0.9588000000000001, 0.9589000000000001, 0.9590000000000001, 0.9591000000000001, 0.9592, 0.9593, 0.9594, 0.9595, 0.9596, 0.9597, 0.9598, 0.9599, 0.96, 0.9601, 0.9601999999999999, 0.9603, 0.9604, 0.9605, 0.9606, 0.9607, 0.9608000000000001, 0.9609000000000001, 0.9610000000000001, 0.9611000000000001, 0.9612, 0.9613, 0.9614, 0.9615, 0.9616, 0.9617, 0.9618, 0.9619, 0.962, 0.9621, 0.9621999999999999, 0.9623, 0.9624, 0.9625, 0.9626, 0.9627, 0.9628000000000001, 0.9629000000000001, 0.9630000000000001, 0.9631000000000001, 0.9632000000000001, 0.9633, 0.9634, 0.9635, 0.9636, 0.9637, 0.9638, 0.9639, 0.964, 0.9641, 0.9642, 0.9643, 0.9644, 0.9645, 0.9646, 0.9647, 0.9648000000000001, 0.9649000000000001, 0.9650000000000001, 0.9651000000000001, 0.9652000000000001, 0.9653, 0.9654, 0.9655, 0.9656, 0.9657, 0.9658, 0.9659, 0.966, 0.9661, 0.9662, 0.9663, 0.9664, 0.9665, 0.9666, 0.9667, 0.9668000000000001, 0.9669000000000001, 0.9670000000000001, 0.9671000000000001, 0.9672000000000001, 0.9673, 0.9674, 0.9675, 0.9676, 0.9677, 0.9678, 0.9679, 0.968, 0.9681, 0.9682, 0.9683, 0.9684, 0.9685, 0.9686, 0.9687, 0.9688000000000001, 0.9689000000000001, 0.9690000000000001, 0.9691000000000001, 0.9692000000000001, 0.9693, 0.9694, 0.9695, 0.9696, 0.9697, 0.9698, 0.9699, 0.97, 0.9701, 0.9702, 0.9702999999999999, 0.9704, 0.9705, 0.9706, 0.9707, 0.9708, 0.9709000000000001, 0.9710000000000001, 0.9711000000000001, 0.9712000000000001, 0.9713, 0.9714, 0.9715, 0.9716, 0.9717, 0.9718, 0.9719, 0.972, 0.9721, 0.9722, 0.9722999999999999, 0.9724, 0.9725, 0.9726, 0.9727, 0.9728, 0.9729000000000001, 0.9730000000000001, 0.9731000000000001, 0.9732000000000001, 0.9733, 0.9734, 0.9735, 0.9736, 0.9737, 0.9738, 0.9739, 0.974, 0.9741, 0.9742, 0.9742999999999999, 0.9744, 0.9745, 0.9746, 0.9747, 0.9748, 0.9749000000000001, 0.9750000000000001, 0.9751000000000001, 0.9752000000000001, 0.9753000000000001, 0.9754, 0.9755, 0.9756, 0.9757, 0.9758, 0.9759, 0.976, 0.9761, 0.9762, 0.9763, 0.9764, 0.9765, 0.9766, 0.9767, 0.9768, 0.9769000000000001, 0.9770000000000001, 0.9771000000000001, 0.9772000000000001, 0.9773000000000001, 0.9774, 0.9775, 0.9776, 0.9777, 0.9778, 0.9779, 0.978, 0.9781, 0.9782, 0.9783, 0.9784, 0.9785, 0.9786, 0.9787, 0.9788, 0.9789000000000001, 0.9790000000000001, 0.9791000000000001, 0.9792000000000001, 0.9793000000000001, 0.9794, 0.9795, 0.9796, 0.9797, 0.9798, 0.9799, 0.98, 0.9801, 0.9802, 0.9803, 0.9804, 0.9805, 0.9806, 0.9807, 0.9808, 0.9809000000000001, 0.9810000000000001, 0.9811000000000001, 0.9812000000000001, 0.9813000000000001, 0.9814, 0.9815, 0.9816, 0.9817, 0.9818, 0.9819, 0.982, 0.9821, 0.9822, 0.9823, 0.9823999999999999, 0.9825, 0.9826, 0.9827, 0.9828, 0.9829, 0.9830000000000001, 0.9831000000000001, 0.9832000000000001, 0.9833000000000001, 0.9834, 0.9835, 0.9836, 0.9837, 0.9838, 0.9839, 0.984, 0.9841, 0.9842, 0.9843, 0.9843999999999999, 0.9845, 0.9846, 0.9847, 0.9848, 0.9849, 0.9850000000000001, 0.9851000000000001, 0.9852000000000001, 0.9853000000000001, 0.9854, 0.9855, 0.9856, 0.9857, 0.9858, 0.9859, 0.986, 0.9861, 0.9862, 0.9863, 0.9863999999999999, 0.9865, 0.9866, 0.9867, 0.9868, 0.9869, 0.9870000000000001, 0.9871000000000001, 0.9872000000000001, 0.9873000000000001, 0.9874, 0.9875, 0.9876, 0.9877, 0.9878, 0.9879, 0.988, 0.9881, 0.9882, 0.9883, 0.9884, 0.9885, 0.9886, 0.9887, 0.9888, 0.9889, 0.9890000000000001, 0.9891000000000001, 0.9892000000000001, 0.9893000000000001, 0.9894000000000001, 0.9895, 0.9896, 0.9897, 0.9898, 0.9899, 0.99, 0.9901, 0.9902, 0.9903, 0.9904, 0.9905, 0.9906, 0.9907, 0.9908, 0.9909, 0.9910000000000001, 0.9911000000000001, 0.9912000000000001, 0.9913000000000001, 0.9914000000000001, 0.9915, 0.9916, 0.9917, 0.9918, 0.9919, 0.992, 0.9921, 0.9922, 0.9923, 0.9924, 0.9925, 0.9926, 0.9927, 0.9928, 0.9929, 0.9930000000000001, 0.9931000000000001, 0.9932000000000001, 0.9933000000000001, 0.9934000000000001, 0.9935, 0.9936, 0.9937, 0.9938, 0.9939, 0.994, 0.9941, 0.9942, 0.9943, 0.9944, 0.9945, 0.9946, 0.9947, 0.9948, 0.9949, 0.9950000000000001, 0.9951000000000001, 0.9952000000000001, 0.9953000000000001, 0.9954000000000001, 0.9955, 0.9956, 0.9957, 0.9958, 0.9959, 0.996, 0.9961, 0.9962, 0.9963, 0.9964, 0.9964999999999999, 0.9966, 0.9967, 0.9968, 0.9969, 0.997, 0.9971000000000001, 0.9972000000000001, 0.9973000000000001, 0.9974000000000001, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9984999999999999, 0.9986, 0.9987, 0.9988, 0.9989, 0.999, 0.9991000000000001, 0.9992000000000001, 0.9993000000000001, 0.9994000000000001, 0.9995, 0.9996, 0.9997, 0.9998, 0.9999, 1.0], \\\"y\\\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 0.9887876870279563, 0.9887807197897772, 0.9887737525515983, 0.9887617449113457, 0.9891530457479776, 0.9891430453175889, 0.9891356192672278, 0.9891254269228531, 0.9891179369011632, 0.9891104468794734, 0.9891029568577835, 0.9890954668360936, 0.9890879768144036, 0.9890848429924595, 0.9890778198281953, 0.989069210891271, 0.9890622087271184, 0.989055206562966, 0.9890482043988134, 0.9890412022346609, 0.9892903710032931, 0.9892837901840952, 0.9892692898988431, 0.9892626900684887, 0.989247715522722, 0.9892404374673324, 0.9892650735868146, 0.9897380290942721, 0.9897314923018634, 0.9897087501640084, 0.989686017801047, 0.9896309040718738, 0.9896243917166995, 0.989601693565866, 0.9896108339485404, 0.9895887970590973, 0.9895759445347605, 0.9895689967131927, 0.9895620488916247, 0.9895286469013367, 0.9895084308828203, 0.9895014419486639, 0.9894811848175591, 0.9894476183769174, 0.9894405883301728, 0.9896341612226609, 0.9896156863394046, 0.9896086182683784, 0.9895958929850518, 0.9895884600523139, 0.9895813181848097, 0.9895743794151053, 0.9895674406454009, 0.9899627061417798, 0.9899384199221951, 0.9899312718945695, 0.9899122388265126, 0.9898928993723723, 0.9898732535321484, 0.9898594736156193, 0.9898392915997496, 0.9898251287006161, 0.9898107211072904, 0.9897960453278788, 0.9897746199536641, 0.989955990141085, 0.9899467165032118, 0.9899399328348166, 0.9899307687258464, 0.9899240215670857, 0.989910352144406, 0.9898991726912046, 0.9898881392765406, 0.9898772519004142, 0.9898685918719619, 0.9898573990553299, 0.9898251313120882, 0.9898139431596561, 0.9898069701998438, 0.989795783602145, 0.9897935551491477, 0.9897863595453116, 0.9897724417246072, 0.9897584365046754, 0.9897511535016122, 0.9897438704985491, 0.989736587495486, 0.9897293044924229, 0.9897220214893596, 0.9897147384862965, 0.9897031717250877, 0.9896950106986782, 0.9896868496722686, 0.9896786886458591, 0.9896705276194495, 0.9896623665930402, 0.9896542055666304, 0.989646044540221, 0.9896378835138115, 0.989629722487402, 0.9896215208678484, 0.9896132145206825, 0.9896015288639852, 0.9895934066983143, 0.9895860601419872, 0.989575473380627, 0.9895676871129814, 0.9895596251574422, 0.9895515632019032, 0.9895371874009393, 0.9895291589780933, 0.9895211305552475, 0.9895131021324015, 0.9895050737095554, 0.9894970452867095, 0.9894890168638635, 0.9894809884410175, 0.9894729600181715, 0.9894649315953254, 0.9894569031724796, 0.9894488747496335, 0.9894408463267876, 0.9894328179039416, 0.9894247894810956, 0.9894167610582496, 0.9894087326354035, 0.9894007042125577, 0.9893926757897116, 0.9893846473668657, 0.9893766189440196, 0.9893685905211738, 0.9893605620983277, 0.9893525336754817, 0.9893445052526357, 0.9893364768297899, 0.9893284484069438, 0.9893204199840978, 0.9893123915612518, 0.9893043631384058, 0.9892963347155598, 0.9892883062927138, 0.9892802778698679, 0.9892722494470217, 0.9892642210241758, 0.9892561926013299, 0.9892478254798456, 0.9892386400284539, 0.9892294545770621, 0.9892202691256702, 0.9892110836742785, 0.9892018982228866, 0.9891927127714949, 0.9891835273201031, 0.9891743418687113, 0.9891651564173195, 0.9891559709659278, 0.9891467855145359, 0.9891376000631442, 0.9891281580524427, 0.9891182743726192, 0.9891083906927958, 0.9890985070129723, 0.989088575224918, 0.9890776119155475, 0.989066648606177, 0.9890556852968064, 0.9890447219874359, 0.9890337586780653, 0.9890227953686948, 0.9890118320593242, 0.9890008687499536, 0.9889899054405833, 0.9889789421312127, 0.9889679788218422, 0.9889570155124716, 0.9889458803733024, 0.9889340514283268, 0.9889222224833513, 0.9889103935383757, 0.9888985645934003, 0.9888867356484248, 0.9888749067034492, 0.9888630777584737, 0.9888512488134982, 0.9888394198685226, 0.9888275909235471, 0.9888157619785716, 0.9888039330335963, 0.9887921040886207, 0.9887802751436452, 0.9887684643494645, 0.9887572815542938, 0.9887460987591228, 0.988734915963952, 0.988723733168781, 0.9887125503736103, 0.9887013675784393, 0.9886901847832685, 0.9886790019880975, 0.9886678191929268, 0.98865631762619, 0.9886440685157987, 0.9886318194054075, 0.9886196823744973, 0.988609146263135, 0.9885986101517727, 0.9885880740404105, 0.9885775379290482, 0.9885666970541447, 0.9885545453976707, 0.9885423937411969, 0.9885302420847231, 0.9885180904282492, 0.9885059387717754, 0.9884938080608568, 0.988481712137525, 0.9884696162141933, 0.9884575322901825, 0.9884469247916817, 0.988436332297598, 0.9884254749856749, 0.9884138587707576, 0.9884022425558402, 0.9883906263409228, 0.9883790101260055, 0.9883673939110882, 0.9883557776961708, 0.9883441614812534, 0.9883325452663361, 0.9883209290514188, 0.9883093128365015, 0.9882976966215841, 0.9882860804066667, 0.9882744641917494, 0.9882628479768321, 0.9882512317619147, 0.9882396155469972, 0.98822799933208, 0.9882163858717234, 0.9882047743955142, 0.988193162919305, 0.9881815514430958, 0.9881697128273241, 0.9881578123894139, 0.9881459120285575, 0.9881340116677011, 0.9881221113068448, 0.9881099666663015, 0.9880948802848859, 0.9880798964186381, 0.9880649125523904, 0.9880497293877487, 0.9880364274244613, 0.9880234313026433, 0.9880104351808254, 0.9879974390590075, 0.9879844429371896, 0.9879714468153716, 0.9879585211913855, 0.9879456919595275, 0.9879328627276696, 0.9879200334958116, 0.9879072042639534, 0.9878943750320954, 0.9878815458002375, 0.9878687165683795, 0.9878558873365215, 0.9878449047188029, 0.9878342285206367, 0.9878235523224708, 0.9878128761243046, 0.9878021999261384, 0.9877915237279722, 0.9877809512994205, 0.9877716952744245, 0.9877606587833795, 0.9877492640089427, 0.9877382743989347, 0.9877272925519991, 0.9877170449726929, 0.9877071390332499, 0.9876972330938071, 0.9876861962586623, 0.9876739998156236, 0.987661803372585, 0.9876496069295466, 0.987637410486508, 0.9876252140434694, 0.9876130176004309, 0.9876008211573922, 0.9875886247143537, 0.9875764282713151, 0.9875642318282767, 0.9875520353852381, 0.9875398389421994, 0.9875296821087904, 0.9875202992976106, 0.9875109164864311, 0.9875023594118796, 0.9874959274232992, 0.9874870522037171, 0.987476847397552, 0.9874666425913867, 0.9874556351828787, 0.9874441162549765, 0.9874325973270746, 0.9874210783991724, 0.9874095594712704, 0.9873980405433684, 0.9873865216154665, 0.9873750026875643, 0.9873634837596623, 0.987351831101861, 0.9873400016350704, 0.987329183948241, 0.9873193404235348, 0.9873094968988283, 0.987299653374122, 0.9872898098494156, 0.9872813037830421, 0.9872710604676189, 0.9872584680288081, 0.9872408838355027, 0.9872225274477295, 0.9872076709397166, 0.9871928144317037, 0.9871779579236908, 0.9871631014156779, 0.9871487958996001, 0.9871349553047879, 0.9871211147099759, 0.9871059108464176, 0.9870884087903633, 0.9870720085793234, 0.9870556083682835, 0.9870392674838968, 0.9870222404327127, 0.9870051621695115, 0.9869880839063101, 0.9869722784744617, 0.9869574823476857, 0.9869426862209096, 0.9869293723084989, 0.9869168368262446, 0.9869043013439909, 0.9868917658617368, 0.9868792303794828, 0.9868666948972288, 0.9868541594149749, 0.9868416239327209, 0.986829081352729, 0.9868164436336597, 0.9868022798947984, 0.9867874091668672, 0.9867719961177137, 0.9867524229333076, 0.9867341336465861, 0.9867167711422514, 0.9866994086379168, 0.9866820461335823, 0.9866646836292479, 0.9866473211249132, 0.9866337297873284, 0.9866204282805924, 0.9866071267738561, 0.9865895386264376, 0.9865705332649846, 0.9865515279035317, 0.9865341659495046, 0.9865181600713298, 0.9865021541931551, 0.9864861483149803, 0.9864701424368055, 0.9864541365586308, 0.9864373792884658, 0.9864232752919068, 0.9864107577816272, 0.9863981253897893, 0.9863855682690188, 0.9863744104940372, 0.9863632527190556, 0.9863515326127785, 0.9863363330152306, 0.9863206827735547, 0.9863050325318787, 0.9862893822902028, 0.9862737320485269, 0.9862580818068509, 0.9862407335902437, 0.986222149404038, 0.9862057142996634, 0.9861916384688953, 0.9861774737367854, 0.9861641624061441, 0.9861527971419777, 0.9861414318778113, 0.9861275834256098, 0.986113048236009, 0.9860974194957515, 0.9860812873177591, 0.9860651551397667, 0.9860490229617742, 0.9860320015412294, 0.9860149790088493, 0.9860016923724785, 0.9859887936161812, 0.9859727457183883, 0.9859560855374531, 0.9859394253565179, 0.9859227651755829, 0.9859061049946476, 0.9858894448137123, 0.9858689229224502, 0.9858585268703293, 0.985848099101435, 0.9858368352885482, 0.9858244902651025, 0.985812145241657, 0.9857967349490683, 0.9857824635345538, 0.9857694931796909, 0.9857535794170929, 0.9857378718196468, 0.9857206875057996, 0.9857033718581241, 0.9856860562104488, 0.9856687405627735, 0.9856512923026036, 0.9856337487016459, 0.9856182225309158, 0.9856024262930513, 0.9855839743372493, 0.9855655128945918, 0.9855470514519343, 0.9855269598989761, 0.9855055994324673, 0.9854845863865167, 0.9854579301335957, 0.9854218674030746, 0.9853982910051317, 0.9853869488246694, 0.9853749270774406, 0.9853634439937106, 0.9853531304367664, 0.9853428168798222, 0.9853325033228779, 0.9853220684215049, 0.9853116446151671, 0.9853023017297138, 0.9852927990196638, 0.985282624234779, 0.9852724494498943, 0.9852629423597663, 0.9852540300332355, 0.9852430890665373, 0.9852239836775365, 0.9852019975764799, 0.9851779375876997, 0.9851539803910219, 0.9851302411115681, 0.9850985631123065, 0.9850699363421709, 0.9850551164125764, 0.9850402964829819, 0.9850254765533875, 0.9850054206145619, 0.9849905301341245, 0.9849749904814527, 0.9849565556733303, 0.9849430920355606, 0.984929684796726, 0.9849162775578915, 0.9849028703190569, 0.9848875790151106, 0.9848718600856271, 0.984854710033553, 0.9848375227137476, 0.9848203353939421, 0.9848058787905064, 0.9847862830028448, 0.9847755201592254, 0.9847649093291124, 0.9847540079475459, 0.9847437635097347, 0.9847275181155071, 0.9847164652654428, 0.98470719753185, 0.9846955074403916, 0.9846831676184089, 0.984670999637485, 0.9846561295742141, 0.9846363538153352, 0.9846166332006887, 0.9845980021439142, 0.9845836976311049, 0.9845687700896901, 0.984554301977587, 0.9845415230943675, 0.9845287442111477, 0.9845147659756113, 0.9844985995448119, 0.9844820995997389, 0.9844657687289093, 0.9844489942127823, 0.9844362642062234, 0.984420174107995, 0.9844050311486079, 0.9843936347270658, 0.9843761798440533, 0.9843607466378519, 0.9843459108793331, 0.9843277660676492, 0.9843095535134297, 0.9842913409592103, 0.984273128404991, 0.9842601514474776, 0.9842471673588968, 0.9842334122582181, 0.9842168649429627, 0.984203223961541, 0.9841895829801192, 0.9841766782876827, 0.9841631154134123, 0.984143445821394, 0.9841206249728873, 0.9840923071204746, 0.9840625516599832, 0.9840441343912201, 0.984030669782751, 0.9840155088636453, 0.9840003479445398, 0.9839840076839387, 0.9839671053725549, 0.9839502030611713, 0.9839345873193339, 0.9839134889929191, 0.9838899897019737, 0.9838707998298957, 0.9838571663269023, 0.983843762714572, 0.9838303138607893, 0.9838186836941235, 0.9838014459541508, 0.9837866765038563, 0.9837750600988862, 0.9837669145254695, 0.9837578017149909, 0.9837434412734409, 0.983724066378167, 0.9836993186264447, 0.9836732952520355, 0.9836536393622757, 0.9836454190671778, 0.9836306717657093, 0.9836183509960505, 0.9836066102991102, 0.9835958170974548, 0.9835800575713347, 0.9835634642633544, 0.9835416080303427, 0.9835157414441968, 0.9834973670966402, 0.9834841280364437, 0.9834744180350308, 0.9834649041688788, 0.9834534215033873, 0.983440058014057, 0.9834268459910444, 0.9834115104723692, 0.9833956684364156, 0.9833773652588614, 0.9833600286824247, 0.9833426712059282, 0.9833133354535142, 0.9832800703382427, 0.9832645750709652, 0.983251118270247, 0.9832374583126227, 0.9832256510281548, 0.9832140198771835, 0.9831900949482837, 0.9831640445492584, 0.9831430515203239, 0.9831202974892495, 0.9830956320977104, 0.9830787022036169, 0.9830615994841081, 0.983046502420974, 0.9830321445718162, 0.9830142565391657, 0.9829931191784553, 0.9829737749895744, 0.9829535600075576, 0.9829328340487211, 0.982912060081909, 0.9828936155142409, 0.9828753221788011, 0.9828588457148575, 0.9828489377308153, 0.9828304713208802, 0.9828107055163232, 0.9827941333864965, 0.9827773792152703, 0.9827591387811371, 0.9827431822173776, 0.9827290856958176, 0.9827141069841976, 0.9826987731675689, 0.9826775289445016, 0.982652051039899, 0.9826320178012002, 0.9826122211517245, 0.9825875451129991, 0.9825668429565766, 0.9825479410027362, 0.9825282925907476, 0.982508194053417, 0.9824918551835529, 0.9824762679884712, 0.9824584552799653, 0.9824474389176466, 0.9824323473848692, 0.9824108015017067, 0.9823968465068253, 0.9823693445817884, 0.9823282957576847, 0.9823076266577895, 0.9822944957843588, 0.9822849983011303, 0.9822717359127069, 0.9822528478593162, 0.9822318511984109, 0.9822210928531672, 0.9822057920792012, 0.982178928193639, 0.9821591406064383, 0.9821455865722906, 0.9821286692532725, 0.9821137975694237, 0.9820993633096026, 0.9820867917986589, 0.9820705552818059, 0.982052455900615, 0.9820238154015286, 0.9819985178663504, 0.9819867233160455, 0.9819573060339339, 0.981934036875378, 0.9819170893472045, 0.9818983261762804, 0.9818777691880792, 0.9818676706718755, 0.9818478476520227, 0.981821906835481, 0.9817999863397455, 0.9817869016508218, 0.9817787825931135, 0.981758020398223, 0.9817433043964123, 0.9817341806243736, 0.9817064608340825, 0.981689203300204, 0.9816744073550627, 0.9816575077672054, 0.9816335556035009, 0.9816153280697688, 0.9815953077678254, 0.9815766463795389, 0.9815593210368451, 0.9815334122130454, 0.9815089527041793, 0.9814862559081612, 0.9814578643627465, 0.9814435663998788, 0.9814323690665667, 0.9814146945693345, 0.9813874300419148, 0.9813607751553047, 0.981345945037096, 0.9813205756616065, 0.9812964624901707, 0.9812710947850518, 0.9812500230226857, 0.9812320787328386, 0.9811984591650798, 0.9811763349708333, 0.9811665196764744, 0.9811500640399076, 0.9811324526906623, 0.9811178265395679, 0.981098222509447, 0.9810774213474684, 0.9810479907679408, 0.9810324679882478, 0.9810058206331753, 0.9809833163829229, 0.9809637025960776, 0.9809368637182837, 0.9809203301333197, 0.980897489620378, 0.9808742211867871, 0.9808499792074464, 0.9808226058928979, 0.9808045924798515, 0.9807849449976692, 0.9807641613510854, 0.9807422076039802, 0.9807190798775356, 0.9807016230375198, 0.9806881330513637, 0.9806797334100001, 0.9806616178193925, 0.9806388658939715, 0.9806268806480938, 0.9806153441917307, 0.9805981395572534, 0.9805787267729118, 0.9805591015033871, 0.980536025579003, 0.9805078935210927, 0.9804793247258515, 0.9804518922196187, 0.980420386439356, 0.9803856962655793, 0.9803586752499702, 0.9803386735040052, 0.980325472756568, 0.9803088241576609, 0.9802832269265724, 0.9802528362607634, 0.9802268722507508, 0.9802044802257888, 0.9801874782177399, 0.9801591067653483, 0.980133668826626, 0.9801198733079428, 0.9801018617428643, 0.9800661253992902, 0.9800393323599064, 0.9800172590966464, 0.9799989625105248, 0.9799781440746231, 0.9799635185675595, 0.9799531315716081, 0.9799291051820243, 0.9799090659948131, 0.9798872212216856, 0.9798655460625771, 0.9798377903211095, 0.9798153464622267, 0.9797907083004067, 0.9797720485904315, 0.9797491260662059, 0.9797073260530362, 0.9796842178289924, 0.9796591956299328, 0.9796309911631278, 0.9796095534928944, 0.9795567914877684, 0.9795244477080911, 0.9795048418050578, 0.9794890340865737, 0.9794693381990314, 0.9794488689743499, 0.9794247890030549, 0.9794053243027474, 0.9793929585527436, 0.9793744019477157, 0.9793557983665742, 0.9793335002037713, 0.9793042637131799, 0.9792730722737638, 0.9792503156697039, 0.9792185028448165, 0.9791929643754316, 0.9791642725000734, 0.9791445492118792, 0.9791195571792861, 0.9790905152820304, 0.979056791770456, 0.9790296549492075, 0.9790052700612939, 0.9789849505952244, 0.9789587082724356, 0.9789321225317855, 0.9789114680499226, 0.978892350721233, 0.9788736048610995, 0.9788559715769081, 0.9788351642545096, 0.9788215832063925, 0.9788060267072312, 0.9787933508257884, 0.9787661843251261, 0.9787386489870675, 0.9787188858578306, 0.9786993608720513, 0.9786784633973524, 0.9786622734122596, 0.9786404289588945, 0.9786219564956959, 0.9786006973419097, 0.9785730634765988, 0.9785446746347067, 0.9785140549399163, 0.9784963284330848, 0.9784815912178749, 0.978455842377087, 0.97843704537717, 0.9784040333068311, 0.9783767899780939, 0.9783547004602313, 0.9783324272950257, 0.978307038285986, 0.9782906747801976, 0.978264212834546, 0.9782347955392606, 0.9782064214138613, 0.9781817809333238, 0.9781580950228256, 0.9781263716510449, 0.9780996516344229, 0.9780714555794179, 0.9780489874568449, 0.9780127946989445, 0.9779838030865255, 0.9779640951857809, 0.977948286767651, 0.9779321331595698, 0.9779109598785654, 0.9778854531631291, 0.9778592739490671, 0.9778376682968366, 0.9778011893949825, 0.9777624189280857, 0.9777474619528227, 0.9777273004147518, 0.9777045578839196, 0.977677922602292, 0.9776519931230161, 0.9776261572922084, 0.9775916928318025, 0.977569577452472, 0.977551124704282, 0.977531177010008, 0.9775123637889814, 0.97749128279326, 0.9774602874467835, 0.9774233190670654, 0.9774071731797762, 0.9773812854709281, 0.9773336608535099, 0.9773055084222532, 0.9772845823005896, 0.9772611041991126, 0.9772343538500751, 0.9772004468797226, 0.9771675727980744, 0.9771389325744139, 0.9771137164396908, 0.977085969464907, 0.9770539057974621, 0.9770243519263018, 0.976999496242323, 0.976974023365116, 0.9769377714178308, 0.9769199671812328, 0.9768919693884994, 0.9768712679562053, 0.9768470101040756, 0.9768207330311399, 0.9767899785043926, 0.9767655502692674, 0.9767438946841446, 0.9767094935136442, 0.9766920427806097, 0.9766568387118088, 0.9766343811962692, 0.9766050650936665, 0.9765856778756822, 0.9765640460737997, 0.9765498323840378, 0.9765363589750335, 0.9765233897585921, 0.9764967813392007, 0.9764611143547757, 0.9764282571370313, 0.9764099836960116, 0.9763927934258706, 0.9763701324026921, 0.9763336659750772, 0.9763105968218568, 0.976270837233504, 0.976247203478614, 0.9762293181284165, 0.9762106639989317, 0.976187027359612, 0.9761655431243031, 0.9761416398816604, 0.9761183471038561, 0.976095440697896, 0.9760681306172245, 0.9760420023901095, 0.9760188796855478, 0.9759881130771862, 0.9759794831096089, 0.975965673177686, 0.9759449729386338, 0.9759177161695602, 0.9758793064972565, 0.9758409666097294, 0.9758087602839927, 0.975783380122276, 0.9757555656324622, 0.9757191310220952, 0.9756740614866751, 0.9756456636509354, 0.975610271357823, 0.9755824439826126, 0.9755530223603686, 0.9755190827276556, 0.9754913100079492, 0.9754617753503262, 0.975437580713076, 0.9754159068581891, 0.9753951502713365, 0.9753565965023803, 0.975328548168187, 0.9752876624187923, 0.9752558295499139, 0.9752265433970386, 0.9751956163879143, 0.975162867594859, 0.9751314726223509, 0.9751014602150172, 0.9750768933580884, 0.9750500748170303, 0.9750212635942878, 0.9749965446407496, 0.9749693624361409, 0.9749458920308163, 0.9749264005026118, 0.9749034069452719, 0.9748745742601773, 0.9748519900821033, 0.9748217238454764, 0.9747967309397227, 0.9747645200937176, 0.9747356419722921, 0.9747165274508149, 0.9746966058828853, 0.9746656567729953, 0.9746288941536259, 0.9746069554041341, 0.9745671618754319, 0.9745357028262918, 0.9745074908154091, 0.9744850420537456, 0.9744430061177514, 0.974404989291972, 0.9743723144126645, 0.9743298658078906, 0.9742927491508606, 0.9742500411864887, 0.974226851359902, 0.974204511678761, 0.9741742970661968, 0.9741429559134007, 0.9741214977164772, 0.9740901329084346, 0.9740481937506607, 0.9740193783605036, 0.973984357387937, 0.9739461488614505, 0.9739053965432737, 0.9738822292434084, 0.9738620531710445, 0.9738260798024551, 0.9737950180214001, 0.97376257564706, 0.9737336163911231, 0.9736976565502597, 0.9736557306340797, 0.9736140319781725, 0.97358560946464, 0.9735578775409313, 0.9735276771711546, 0.9734853590900603, 0.9734434235787153, 0.9733977836108969, 0.9733695560556354, 0.9733350063581744, 0.9733148201687425, 0.973287248676383, 0.9732559341139382, 0.973220699007193, 0.9731857072817104, 0.9731371137639611, 0.973109487951682, 0.973076260044401, 0.9730509676316903, 0.9730281550517337, 0.9729965037663648, 0.9729568652705033, 0.9729215303394314, 0.9728948362208101, 0.9728636314617733, 0.9728299480489825, 0.9727955494951095, 0.9727588911897781, 0.9727199417442938, 0.9726844209499887, 0.9726632871427308, 0.9726346606591862, 0.9726064255098451, 0.9725764852960239, 0.972545083604673, 0.9724940043263275, 0.9724596452900669, 0.9724298552931472, 0.9723981067879663, 0.9723727488342637, 0.9723425972059625, 0.9722999029825662, 0.9722561882524442, 0.9722157896903025, 0.9721875721632781, 0.9721702114261788, 0.9721530758095247, 0.9721359908739298, 0.9721035158847097, 0.9720570992670283, 0.9720009129497273, 0.9719636303043722, 0.9719364612006056, 0.9719091143372531, 0.9718726649822391, 0.9718351171708206, 0.9717987477054677, 0.9717518940000234, 0.9717075242040609, 0.971669313242171, 0.9716334739808719, 0.9716018005536677, 0.9715690253342208, 0.9715330027394771, 0.9714942263263837, 0.9714695425153967, 0.9714401221439788, 0.9713811694177072, 0.9713550581582753, 0.9713197338628186, 0.9712674144698759, 0.9712441656357454, 0.9712056203996465, 0.971179638053308, 0.9711484630683174, 0.9710976585919298, 0.9710549325841601, 0.9710313324011124, 0.9710078722152814, 0.9709740017803214, 0.9709235002710398, 0.9708921256925545, 0.9708540315958127, 0.9708098763389209, 0.9707777036476687, 0.9707414632656783, 0.9707012608377721, 0.9706676644197645, 0.9706403606395597, 0.9706067940727447, 0.9705718920690694, 0.9705368587821255, 0.9704979063784624, 0.9704681456237618, 0.9704410135320267, 0.9703958702462717, 0.9703571737093757, 0.9703311310999118, 0.9702941493244147, 0.9702614476825542, 0.9702143404940956, 0.9701809506925874, 0.970148078830082, 0.9701115242402568, 0.970078915976468, 0.9700312198533328, 0.9699861724678418, 0.9699481539902064, 0.9699158264840314, 0.9698846626164956, 0.9698535296963481, 0.969816148252856, 0.9697715839079726, 0.9697309318747105, 0.9696898796831599, 0.9696526129900979, 0.9695869659863883, 0.9695398440161771, 0.9695045363508388, 0.9694625981115039, 0.9694340939400439, 0.9694044500378554, 0.9693733547011258, 0.9693334148567457, 0.9692983311662012, 0.9692708948692196, 0.969249408867254, 0.9692168499126566, 0.9691960926876703, 0.9691568213851077, 0.9691114431984137, 0.9690744613645859, 0.9690422798068036, 0.969023000982126, 0.9689862930129841, 0.968947842098558, 0.9689069490726414, 0.9688805381642427, 0.9688423934560346, 0.9688076820892346, 0.9687694270617251, 0.9687497476397142, 0.9687121216665611, 0.9686776930329257, 0.9686335339222055, 0.9685970284166903, 0.9685673380040182, 0.9685343762635633, 0.9684988676583763, 0.9684697413964368, 0.9684452165784178, 0.9684226859968952, 0.9683975227021058, 0.9683677154250727, 0.9683342637389403, 0.9682948831847051, 0.9682593401395854, 0.9682029273917461, 0.9681734881890567, 0.9681430768677882, 0.9681170089796262, 0.9680831665745756, 0.9680463213719297, 0.9680015831859357, 0.9679619818040153, 0.9679372082297099, 0.9678923867784983, 0.9678644854718043, 0.9678419094329649, 0.9678044081025539, 0.9677823363250782, 0.9677502550802545, 0.9677127758512807, 0.9676748817880143, 0.9676459253071512, 0.9676142936455985, 0.9675878379831155, 0.9675604784714049, 0.9675363925356542, 0.9675160721229992, 0.9674837962155056, 0.9674349899703935, 0.9673947476146929, 0.9673719375566376, 0.9673399846259664, 0.9673129208555145, 0.9672717349437753, 0.967231737743741, 0.9671966631688687, 0.9671574768942632, 0.9671171730088226, 0.9670701617483535, 0.9670375529012962, 0.9669722141145796, 0.9669200455365713, 0.966889891347992, 0.9668468935260699, 0.9668220594583682, 0.9667949028067987, 0.9667451612884537, 0.9667176828263274, 0.9666744783277947, 0.966643599282735, 0.9666262100720144, 0.9665990468364873, 0.9665627779978773, 0.9665171208455349, 0.9664848057728452, 0.9664479447432808, 0.9664154800800212, 0.9663727533738096, 0.9663270764497958, 0.9662911602980842, 0.9662549076921938, 0.9662154028573959, 0.9661728158187783, 0.9661255357444152, 0.9660898935374935, 0.9660563916295626, 0.9660148706205969, 0.9659764195486094, 0.965944224478948, 0.9659022762899443, 0.9658559017829524, 0.9658039147380516, 0.9657563801837724, 0.9657195746995639, 0.9656751839885205, 0.9656189816077734, 0.965573143342243, 0.9655378477134253, 0.9654810934693779, 0.9654381779778438, 0.9653945851264419, 0.9653560718024812, 0.9653073527412817, 0.9652747300878046, 0.965235637290555, 0.9651946722167679, 0.9651445701338947, 0.9650701669838273, 0.965023094962856, 0.964967094198472, 0.9649145794540555, 0.9648798675302097, 0.9648349975761759, 0.9648051788049837, 0.9647670130875321, 0.9647396329726697, 0.964695407392298, 0.9646595427835234, 0.9646079864067436, 0.9645540206959538, 0.9645031332809033, 0.9644645113205162, 0.9644207479281148, 0.9643782874364724, 0.9643309388715045, 0.9642873649313937, 0.9642391353044257, 0.9641994753049533, 0.9641545650149603, 0.9640930446092749, 0.9640352424013585, 0.963980811605217, 0.9639437181758006, 0.9639128535304464, 0.9638774024443197, 0.9638298738612542, 0.9637837087039312, 0.9637439679989621, 0.963698108560374, 0.9636548810128409, 0.9636108145499185, 0.9635627517865237, 0.9635207299774375, 0.9634741972876173, 0.9634170779244208, 0.9633657809095361, 0.963327491578029, 0.9632775449799208, 0.9632530554994967, 0.9632162654902339, 0.9631854727711042, 0.9631415393885105, 0.963100161123831, 0.9630517408507011, 0.9630256360266881, 0.9629932976572737, 0.9629531301730558, 0.9628978504248478, 0.9628656929553584, 0.9628325479560065, 0.9627863758669111, 0.9627388712024609, 0.962699374443992, 0.962665333262307, 0.9626344746014083, 0.9625943537490169, 0.9625488208714209, 0.9625012076796973, 0.962440736250103, 0.9623747980940425, 0.9623142485157143, 0.962255173487691, 0.9622025971520023, 0.9621631863290008, 0.9621169420925215, 0.9620694063921688, 0.9620145745421483, 0.9619669834420022, 0.9619223665631877, 0.9618755451133363, 0.9618220687849148, 0.9617796872547264, 0.9617377930631852, 0.9617051798087686, 0.961668622428745, 0.9616200482670676, 0.9615756883933713, 0.9615284732183274, 0.9614838495146956, 0.9614511621063812, 0.9614193212276623, 0.9613797947247205, 0.9613402302240406, 0.9612948383544747, 0.9612554303674552, 0.9612185866673182, 0.9611737580186768, 0.9611242941239353, 0.9610740180372714, 0.9610296455838807, 0.9609804678583773, 0.9609350729078303, 0.9608970978954348, 0.9608432377245575, 0.9608051043606191, 0.9607652520745367, 0.9607262709850832, 0.9606844449670482, 0.9606297781910895, 0.9605864207345793, 0.9605332058041105, 0.9604850690217395, 0.9604367430653686, 0.9603958101068768, 0.9603441963986128, 0.9602960757688801, 0.9602314194762639, 0.9601847738914085, 0.9601395115947403, 0.9601025241244412, 0.9600590401324534, 0.9600150302287142, 0.9599623457006099, 0.9599209706346419, 0.9598902426346803, 0.9598498830968419, 0.9598180333409012, 0.959785724773557, 0.9597256716346381, 0.9596815904018426, 0.9596459117454401, 0.9595982474341038, 0.9595503200162177, 0.9595064210372677, 0.9594639462583718, 0.9594212907438363, 0.9593692565557814, 0.9592953948520524, 0.9592599958942392, 0.9591901380213369, 0.9591456589434202, 0.9591090714153199, 0.959053889576587, 0.9590091577670408, 0.9589644558621082, 0.9589080986612204, 0.9588445747251177, 0.9587979900759186, 0.9587548265546004, 0.958722464162757, 0.9586775129376706, 0.9586238467557737, 0.9585795272875909, 0.9585357210698364, 0.9584817345878445, 0.9584236698590674, 0.958365959929121, 0.9583118816413113, 0.958266959238701, 0.9582136282786002, 0.9581674217293957, 0.9581222040527593, 0.9580632998998753, 0.958015648987824, 0.9579787653941398, 0.957939017981329, 0.9578906647804231, 0.9578498908702249, 0.9578176178803135, 0.9577795536035114, 0.957733080067338, 0.9576785580825298, 0.9576220797214172, 0.9575816145885181, 0.957512141828812, 0.9574574712550381, 0.9574018655847386, 0.957357670697154, 0.9573112722358064, 0.9572666367052349, 0.9572216365020524, 0.9571832220723002, 0.9571435854921606, 0.9571032469074676, 0.9570639808991594, 0.9569936611498864, 0.9569026488106899, 0.9568472707184266, 0.9567964800727857, 0.9567478442209565, 0.9566896658163866, 0.9566285998461532, 0.9565957676299853, 0.9565579742920804, 0.9565156819807599, 0.9564988298727188, 0.9564579040961025, 0.9563926440028603, 0.9563163325867104, 0.956252532086654, 0.9561941563640766, 0.9561161266051382, 0.9560314788435864, 0.9559816760697083, 0.9559379552458416, 0.9558938317394449, 0.9558360528586526, 0.9557839502960248, 0.9557369970123266, 0.9556812408519468, 0.9556289102938492, 0.9555829732374376, 0.9555323593347789, 0.9554727869171062, 0.955416251214489, 0.9553596633005299, 0.9553152542425574, 0.955267601220595, 0.9552301546482618, 0.9551877119930492, 0.9551201938782681, 0.9550595491904702, 0.9550006716523791, 0.9549599323719031, 0.9549181844914314, 0.9548831637892018, 0.9548313990983361, 0.9547603133911419, 0.9547091426633986, 0.9546621113535656, 0.9546104062012011, 0.9545400709144052, 0.9544572250764829, 0.9543715916371642, 0.9543015135792948, 0.9542540237811705, 0.9542062886893817, 0.9541488065356657, 0.9541024094023292, 0.9540567422086084, 0.9540102331430109, 0.9539546738514577, 0.9538761569022867, 0.9538116121175911, 0.9537672751812984, 0.9537250719555637, 0.9536788492570087, 0.9536064152244743, 0.9535400092354627, 0.9534830624643652, 0.9534229006199643, 0.9533685331067976, 0.9533156799559486, 0.953260281506638, 0.9531987604545437, 0.9531511177174736, 0.9531102905799297, 0.953068413652745, 0.9529946412824356, 0.9529284058241413, 0.952875038500026, 0.9528241933648343, 0.9527644897492922, 0.9527133931086432, 0.9526675718969069, 0.9526093336791668, 0.9525389297479057, 0.9524613434842131, 0.9524100029585982, 0.952375685169953, 0.9523183067347176, 0.9522651690209095, 0.9521911452613344, 0.9521302762804749, 0.9520792308039665, 0.952020028618044, 0.9519608204720322, 0.9519076781337831, 0.9518367497771143, 0.9517645285829559, 0.9517133604172054, 0.951659091877264, 0.9515742872915365, 0.9515123135246939, 0.9514512659095082, 0.9514076181637443, 0.9513401797682044, 0.9512924263084268, 0.9512330755895004, 0.951170527376264, 0.9511116955605154, 0.9510404079558166, 0.9509820287588799, 0.950925735042484, 0.9508701618332256, 0.9508146066747711, 0.9507600572560215, 0.9506980990656617, 0.9506415825340191, 0.9506034968344879, 0.9505585050150015, 0.9504893641147221, 0.9504368014885145, 0.9503896515436849, 0.9503198383960538, 0.9502600587778567, 0.9502123732534635, 0.9501584948185229, 0.9501008330957075, 0.9500345033613343, 0.9499670294569298, 0.9498989907984319, 0.9498340040026001, 0.949776081300201, 0.9497071877264398, 0.9496512024816511, 0.9495817601738027, 0.9495128040143181, 0.9494638924766531, 0.94940209246135, 0.9493367610886665, 0.9492696829092566, 0.9492200131988839, 0.9491631348445008, 0.9491077713680616, 0.9490494662517577, 0.9489879512639672, 0.9489188641891587, 0.94887176954134, 0.9488208308359148, 0.948766105709022, 0.948701305003393, 0.9486294742288043, 0.9485732674679126, 0.9485038171164863, 0.9484231648028488, 0.9483419209683133, 0.9482791744894725, 0.9482264556522785, 0.948164482097598, 0.9480925799381701, 0.9480346716218394, 0.9479499788925081, 0.9478793159086529, 0.9478142432345713, 0.9477512607500034, 0.9477032723182004, 0.9476390028892416, 0.9475800112282924, 0.9475288902916935, 0.9474581010132286, 0.9473841082829287, 0.9473160486420384, 0.9472514208674097, 0.9471862577850396, 0.9471181591997475, 0.9470430510427855, 0.9469717105664869, 0.9469131844675069, 0.9468536655063859, 0.9467928091585027, 0.9467255365767413, 0.9466574739159674, 0.9465837316982443, 0.9465198705305976, 0.9464401257956025, 0.946378106131027, 0.9463159261320604, 0.9462746926202578, 0.9462204478031914, 0.9461576979225639, 0.9461012440578739, 0.9460532897436842, 0.9459918996345961, 0.9459269115701094, 0.9458651088894146, 0.945798713609474, 0.9457147602670177, 0.9456249963076108, 0.9455639826450366, 0.9455178595647585, 0.9454499911663177, 0.9453743258137548, 0.9453137182524509, 0.9452490496642776, 0.9451807948140346, 0.9451165738586524, 0.945049149706294, 0.9449755767937061, 0.9449165736161144, 0.9448762415275396, 0.9448225617144046, 0.9447525733943408, 0.9446772301155967, 0.9445884763019865, 0.9445194950107614, 0.9444589537863111, 0.9443887495823464, 0.9443066902325536, 0.9442400847249264, 0.944172372396139, 0.9441098659310228, 0.944052945317029, 0.943972419090113, 0.9439047377165302, 0.9438247170171989, 0.9437524628811665, 0.9436866995417492, 0.9436337243157948, 0.9435852253081609, 0.9435167953954496, 0.9434409003330209, 0.9433626599835863, 0.9433043488539048, 0.9432643949158901, 0.9431960314885752, 0.9431005606049778, 0.9430194909778603, 0.9429293592196397, 0.9428665341990379, 0.9428027031815395, 0.9427402165491479, 0.9426783193500949, 0.9426266900913955, 0.9425575866640397, 0.9424653382981082, 0.9423734892918796, 0.9423081925043351, 0.9422237950163507, 0.9421564558582955, 0.9420769368159383, 0.9419934415898443, 0.9419127888379595, 0.9418396628116357, 0.9417653443416156, 0.9417086971001161, 0.9416486367531897, 0.9415715838352219, 0.941513664811063, 0.941458156512577, 0.941400992619313, 0.94131633658685, 0.9412493441316074, 0.9411831640454507, 0.9411159966769623, 0.9410335950388691, 0.9409612117136752, 0.9408980385995509, 0.940827000810569, 0.9407612192480633, 0.9406837579691966, 0.9406037643029823, 0.9404937654918477, 0.9403931362634179, 0.9403216171505645, 0.940227668034588, 0.9401544349706341, 0.9400816426005663, 0.939975631002054, 0.9398909852615918, 0.939809668584964, 0.9397264606475565, 0.9396420725684214, 0.9395647791418458, 0.9394925204051592, 0.9394122514774539, 0.9393292406023324, 0.9392520976345062, 0.9391583050693937, 0.9390945145060922, 0.9390376951813932, 0.9389555277715618, 0.9388533267309606, 0.9387715527032093, 0.9386886300658585, 0.9386221437819771, 0.9385519634314685, 0.938478390488887, 0.9384011612706014, 0.9383427043797581, 0.9382553226609527, 0.9381802650504243, 0.9381100541269286, 0.9380249957593074, 0.9379303564579401, 0.9378567696552605, 0.937777924622604, 0.9376905402247351, 0.9376225150837783, 0.9375577514244808, 0.9374828457360425, 0.9373986605448614, 0.9373224394523603, 0.9372579958490505, 0.9371951089920794, 0.9371271076283259, 0.9370438684022115, 0.9369600175349214, 0.9368840123686137, 0.9367976174130495, 0.9366998688621354, 0.9366113432130854, 0.936544570735431, 0.9364773933559521, 0.936381177309985, 0.9362739170587699, 0.9361715513074416, 0.9360800488239873, 0.9359898406812515, 0.9358826591728859, 0.9357887277803257, 0.9356816422112046, 0.9355517119102043, 0.9354599462434623, 0.9353729836046834, 0.9352885049707353, 0.9352077594980792, 0.9351239546268355, 0.935021374545995, 0.9349016632365561, 0.9348045040647561, 0.9347237994844539, 0.9346278475879024, 0.9345550021039413, 0.9344501987250191, 0.9343514443754178, 0.9342524667934556, 0.9341792670980144, 0.9341028737865348, 0.9339961801146307, 0.933923026431326, 0.9338472455315573, 0.9337388520380951, 0.9336398667907896, 0.9335628491279586, 0.9334784415791282, 0.9333653363486004, 0.9332648580762049, 0.9331721648970837, 0.9330501175871289, 0.9329400865540043, 0.9328355244837063, 0.9327549545740399, 0.932665760444769, 0.9325555064497014, 0.9324501467569626, 0.932358539089953, 0.9322628058906972, 0.9321636113319294, 0.9320658748653385, 0.9319830101780766, 0.9318958204318437, 0.9317748499280017, 0.9316636051168923, 0.9315687796194603, 0.9314913915420892, 0.9314177790584389, 0.9313318493360054, 0.9312322248219012, 0.9311275724607113, 0.9310098203344659, 0.9309161378154198, 0.9308291784663767, 0.9307248316826482, 0.9306177462157454, 0.9305201478854712, 0.9304309199818195, 0.930344052002044, 0.9302558415117128, 0.9301665947553901, 0.9300479581148053, 0.9299634743265304, 0.9298722293360677, 0.9297758363127255, 0.9296811562656666, 0.929586865351516, 0.9294967424063751, 0.92939564312989, 0.9293068791141866, 0.9292238991035118, 0.9291440041510324, 0.9290604397365175, 0.9289606760246227, 0.9288685074380769, 0.9287595090509759, 0.9286473238614144, 0.9285533476010687, 0.9284500885689828, 0.9283355639851273, 0.9281959073688935, 0.928114749470484, 0.9280483382152653, 0.9279522994464221, 0.9278586292922626, 0.9277385710007393, 0.9276139725115264, 0.9274910601874176, 0.9273952766062152, 0.9273045872429462, 0.9271865758992609, 0.9270816967687681, 0.9269715257345674, 0.9268731137471571, 0.9267655064301275, 0.9266506754997574, 0.926527701704507, 0.926411491490313, 0.9262957807535359, 0.9262021038903527, 0.9261150027905298, 0.926011598310005, 0.9258938769512675, 0.9257719838515857, 0.9256866712463987, 0.9255763784738112, 0.9254720256697453, 0.9253763491757439, 0.925280167463598, 0.9251842803378616, 0.9250761631159408, 0.9249675378284195, 0.9248294569851649, 0.9247308254491753, 0.9246068678024049, 0.9244818502914656, 0.9243415313753325, 0.9242427874451696, 0.9241303368347132, 0.9240422441639624, 0.9239310873395349, 0.9238325141550472, 0.9237287587956416, 0.9236469652947997, 0.9235582975163257, 0.9234464718703206, 0.923344313669852, 0.9232184343035236, 0.9231013189879411, 0.922997302542609, 0.9228939237126631, 0.9227878671663328, 0.9226611556553961, 0.9225552376276389, 0.922462562528063, 0.9223582327968941, 0.9222540257941021, 0.9221257366149306, 0.9219715341413419, 0.9218239884381823, 0.9217356287461249, 0.9216145612740632, 0.9214923357066107, 0.9214015006742875, 0.9213015415604634, 0.9211625110592467, 0.9210363935818413, 0.9209259678793911, 0.9208365966489557, 0.9207121942270486, 0.9205743999805109, 0.9204692616330947, 0.9203655740181023, 0.9202437228684359, 0.9201362464985683, 0.9200424638601448, 0.9199431598686683, 0.919838480972323, 0.9197360986578808, 0.9196349839674471, 0.919522725805568, 0.9194206965925809, 0.9193139982918148, 0.9192103266031835, 0.9191096453544734, 0.9189947320591463, 0.9188779289562061, 0.9187775201629492, 0.9186712651927215, 0.9185680736677957, 0.9184489460204558, 0.9183210964671373, 0.9181850812561803, 0.9180411127782759, 0.9179133194920253, 0.9177703087239473, 0.9176308949455625, 0.9174862582615151, 0.917350294893625, 0.9172186313013923, 0.9170934580774532, 0.9169877845000705, 0.9168827729038928, 0.9167949444245008, 0.916688212608681, 0.9165782488653057, 0.9164629268677126, 0.9163300179041962, 0.9161987736812411, 0.9160708557558468, 0.9159618614734948, 0.9158468174593136, 0.9157266258740943, 0.9155819083440286, 0.9154624474067757, 0.9153244039394607, 0.9151950932348323, 0.9150590931761534, 0.9149312984588579, 0.9148339484808627, 0.914659451334403, 0.914527951728499, 0.914380654549616, 0.9142484010597782, 0.9140879392746073, 0.9139525452675614, 0.9138185709506634, 0.9136953776854699, 0.9135584871868672, 0.9134447213076884, 0.9133105850194176, 0.9131552439957007, 0.9129634221682654, 0.9128436930650099, 0.9127036401937636, 0.9125583900874453, 0.9124274179935963, 0.9123119654418645, 0.9122107801441639, 0.9120991269942493, 0.9119788989222615, 0.9118231580466776, 0.9116511026046685, 0.9115213528595486, 0.911373327362226, 0.9112262814638354, 0.9110958136469619, 0.9109416478217993, 0.9108275712719174, 0.9106702266654654, 0.9104917355733781, 0.9103268645158171, 0.910176444952423, 0.9100367353082575, 0.9098876381169765, 0.9097057306779364, 0.9095468224996557, 0.9094112479321561, 0.9092714146206295, 0.9091385753370491, 0.9089760127137916, 0.9088343013157636, 0.9087259203106441, 0.908578914713646, 0.908422363424771, 0.9082941981957742, 0.9081814964290085, 0.9080623653259278, 0.9079045078315218, 0.907745824796433, 0.9075981692359231, 0.9074360613451335, 0.9072583179134388, 0.9071273464712459, 0.9069732783701344, 0.9068213808321666, 0.9066283353873207, 0.9064282913692743, 0.9062383181808983, 0.9061103678410319, 0.9059299042143292, 0.9057687104020475, 0.9055737837583295, 0.9054391890425073, 0.9052984959646448, 0.9051426370369338, 0.9049678398860457, 0.9047935081900778, 0.9046289827836982, 0.9044457520714804, 0.9042817461339443, 0.9041122721405032, 0.9040085934001589, 0.903882139602294, 0.9037369094037669, 0.9035925609502234, 0.9034529778770394, 0.9032606591834736, 0.9030827429625707, 0.9029152499023162, 0.9027778092164918, 0.9026508955121648, 0.902474146234854, 0.9023103333847597, 0.9021815123855184, 0.9020331917576633, 0.9018468826347483, 0.9016612829373813, 0.9015087337550447, 0.9013812490012965, 0.9012210207004858, 0.9010510025729682, 0.9008921381629154, 0.9007383889026053, 0.9005531442664833, 0.9003596652505839, 0.9001753215676536, 0.9000133286306082, 0.8998417762737869, 0.8996628910705674, 0.8995255762929437, 0.8993909169335275, 0.8992312610660507, 0.8990720123941817, 0.8989167541394665, 0.8987712761339607, 0.8986361971931173, 0.8984679979944007, 0.8983466448513739, 0.8981733189351504, 0.8980096928765229, 0.897857884054443, 0.8977082135151404, 0.8975612822998353, 0.8974028035688133, 0.8972289690876925, 0.8970261097812333, 0.8968514490196839, 0.8966512864809635, 0.8964929905355369, 0.8963325292855264, 0.8961739864412501, 0.8960305180890981, 0.8958625902681636, 0.8956612923268517, 0.8954671929103422, 0.895279996145499, 0.895103956910545, 0.8949245487955201, 0.8947348582988885, 0.8945731472839012, 0.8943674467023652, 0.8941664341860021, 0.8939113504947185, 0.8937204489042347, 0.8934952041965971, 0.8932672808699036, 0.8930308475301647, 0.8927967522543849, 0.8925377757518151, 0.8923216363918465, 0.8920677898596201, 0.8918849063449725, 0.8916753087720564, 0.8914539345203544, 0.8912712891109491, 0.8910194550566344, 0.8908009175607174, 0.8906346735497361, 0.8904303145012769, 0.8902107553332397, 0.8900518328560414, 0.8898332434215241, 0.8896141270273445, 0.8893952662516313, 0.8892167424313439, 0.8889968567679418, 0.8887793890116675, 0.8885581179947137, 0.8883317637561834, 0.8880745285849949, 0.8877946743329936, 0.8875232304132642, 0.8872834099998702, 0.8870842593167239, 0.8868488694460125, 0.8866293339573719, 0.8864400265940704, 0.8862453425953267, 0.8860138016374831, 0.8858140243858277, 0.8856236025877646, 0.8853762884311613, 0.8851493252906539, 0.8849321013061854, 0.8847124469338733, 0.8844797970853142, 0.884255346504192, 0.8839836084536676, 0.8837381168618361, 0.88356121318628, 0.8834265925590115, 0.8832494834438354, 0.8830666519523614, 0.8828394244099418, 0.8826269946308988, 0.8824084097026166, 0.8821649754130343, 0.8819520369239203, 0.8817283369045119, 0.8814758307634529, 0.881221550307439, 0.8810047217338492, 0.8807219689039045, 0.8804785550221772, 0.8802570410395054, 0.8800324539567763, 0.879765920359375, 0.8795266684394769, 0.8792789993570291, 0.879051860216719, 0.8788104896266424, 0.8785761662177547, 0.8783133795547179, 0.8781202999456849, 0.8778824662089615, 0.8776604710006425, 0.8774558975586131, 0.8772301845103542, 0.8769768436288914, 0.876735577886913, 0.8764779387722399, 0.8762526894351692, 0.8760378978108941, 0.8758137011959474, 0.8755736663991865, 0.875293438841155, 0.8750362347077003, 0.8748010370343795, 0.87455368398344, 0.8743267891116782, 0.8741249317380968, 0.8739072534110748, 0.873660847897386, 0.8734224295402317, 0.8731298652683764, 0.8728983180598469, 0.8726384219093727, 0.8724192706399867, 0.8721622202368133, 0.8719049576743083, 0.8716832931243494, 0.8713976232195281, 0.8711707751996851, 0.8709087874640786, 0.8706662353020536, 0.8704036225124342, 0.8701739264209076, 0.8698942568628741, 0.869626711174941, 0.869380464649504, 0.8691235322079909, 0.8689227075705155, 0.8686717456879605, 0.86836884485831, 0.8681285070386537, 0.8678617954655797, 0.8676255221699994, 0.8674179337975987, 0.86711046202672, 0.8668986216135988, 0.8666646798431381, 0.8664047378893318, 0.8661425975657153, 0.865881582226405, 0.8655795340731327, 0.8653015554827538, 0.865059463693274, 0.8648277563168273, 0.8645355962173236, 0.8642431894001819, 0.8639507478376209, 0.8636779816780775, 0.8633357004550426, 0.8630570015034837, 0.8627148789383288, 0.8624405648905111, 0.8622116086252384, 0.8619631280343611, 0.8617227318150172, 0.8614723788707441, 0.8612409288946776, 0.861020299093519, 0.8607132758926381, 0.86041201485003, 0.8601289799005398, 0.8598686529854722, 0.8596321949064509, 0.8593638827722309, 0.8591141947561839, 0.8588734457610929, 0.8585738890243887, 0.8582462830571478, 0.8579415662886358, 0.857635758529375, 0.8573527113298022, 0.8570338721776892, 0.8567190899897612, 0.8564713451677565, 0.8561992326289631, 0.8559601055633279, 0.8556832862451887, 0.8554076586173496, 0.8551124997734727, 0.8547624136768649, 0.8544926372544299, 0.8542412251872972, 0.8539372732316266, 0.8536232537708754, 0.8533365194932555, 0.853108077317771, 0.8528854465330256, 0.8525579300817445, 0.8521945470160838, 0.8518305299510258, 0.8515255304336715, 0.8511874820714342, 0.8508804891893178, 0.8504968717612265, 0.8501348868420197, 0.8498354348216761, 0.8495266531782261, 0.8491633604829372, 0.8487902790358008, 0.84834599991447, 0.8480444912876813, 0.8476904212231425, 0.8473876653316068, 0.847093690309748, 0.8467874355285809, 0.8464739322817262, 0.8461160630949517, 0.8457779156833852, 0.8454258788351654, 0.8450429531977989, 0.8446701701468796, 0.8443933433056398, 0.8441303424681006, 0.843840882309499, 0.8435227993582914, 0.8431536583116581, 0.8428734787928485, 0.8426265046185863, 0.8423482759532543, 0.8420384773567823, 0.8417684823087386, 0.8414352023763082, 0.8410495449600568, 0.8407099159328711, 0.8404453550347301, 0.8401072136970933, 0.839758979414549, 0.8393638399190757, 0.8389858711975771, 0.8386000926841735, 0.8382057744486578, 0.8378302990669981, 0.8374655313176225, 0.8371063499410913, 0.8367576622470927, 0.8364553005562048, 0.8360199889210803, 0.8356883645009008, 0.8352185231916827, 0.8348234418095171, 0.8344558317827988, 0.834144233228796, 0.8337460747625898, 0.8333694343712764, 0.8330209729854887, 0.8326446970482937, 0.8323090271575895, 0.8319980718148665, 0.8316184859157809, 0.8312269882446035, 0.8308456458983724, 0.8304920723044693, 0.8301255509474103, 0.8297555855001446, 0.8293630094056169, 0.8289953475168985, 0.8286339839695291, 0.8282838194139941, 0.827960454211504, 0.827564056944867, 0.8271679516621375, 0.8268132826586809, 0.8264852605302566, 0.826115505197162, 0.8257287366040205, 0.825427164557214, 0.8250073580104655, 0.8246443178024238, 0.8243300015203923, 0.8239684280624564, 0.8235883353262354, 0.8232338968796626, 0.8229033626822271, 0.8225504805852413, 0.8221832463142497, 0.8217601002547437, 0.8213242402317203, 0.8209199030848569, 0.8205257368346, 0.8201224215911955, 0.8197217966375987, 0.8192633599153015, 0.8188350728731549, 0.8185586714584742, 0.8181784306179627, 0.817798405056217, 0.8174324559285031, 0.817035402331262, 0.8166254740810928, 0.8162758935659418, 0.8159324432257434, 0.81544579823564, 0.8150327046539694, 0.814720483677318, 0.8142895327240471, 0.8138435513436844, 0.8134696681902307, 0.813062266998259, 0.8126358713300836, 0.8121747522956193, 0.8117579276097455, 0.8113639842726483, 0.8109192457848476, 0.8105098406931974, 0.8101038518214627, 0.8096213846978952, 0.809197896596209, 0.8087656765936198, 0.8082682598224011, 0.8077755047678966, 0.8072795571230811, 0.8068170051035402, 0.8063812623249271, 0.8058656522842764, 0.8054895404112112, 0.8051183135421853, 0.8046838888621171, 0.8042373968629688, 0.8036952569687299, 0.8032535089489885, 0.8027323554446906, 0.8022570964609187, 0.8018512398188329, 0.8013895187311589, 0.8009082515864385, 0.8004151309537237, 0.8000062589006034, 0.7995818515746003, 0.7991170312186731, 0.7986424608538096, 0.7981454248622009, 0.7976562788627375, 0.7972174945516383, 0.796780241209224, 0.7964010410976681, 0.7959856564552374, 0.7954807767250336, 0.7949670571476259, 0.7944847389138356, 0.7939946805594837, 0.7934860640179289, 0.7930997355671795, 0.7926944884261445, 0.7922449646462927, 0.7917386575987515, 0.7912586215531686, 0.7907890193972711, 0.7903193380617665, 0.789847146449766, 0.7893837221415273, 0.7889091922291402, 0.7884363672912618, 0.7880023353087425, 0.787618560971731, 0.7871034506099456, 0.7865744237984358, 0.7860500454526139, 0.785638444797945, 0.7851199986332619, 0.7846985236531117, 0.7842404437275434, 0.7837557524835701, 0.7831959092657256, 0.7827305111423859, 0.7823028412988021, 0.7819495699831591, 0.7815969175722549, 0.7810663515451182, 0.7805125467222184, 0.7798907322407648, 0.7794526283044738, 0.7790449387178786, 0.7785909968578184, 0.7779779244120969, 0.777443481706644, 0.7768178659587781, 0.7761336574864539, 0.7755717176161063, 0.7750548411060912, 0.7745723335733417, 0.7740018847689413, 0.773380029282456, 0.7727001052409819, 0.7721817031521448, 0.7715806953941748, 0.7710495515668776, 0.7704272203905855, 0.7698245257168428, 0.7691935410172965, 0.7686878426410608, 0.7681656823325842, 0.7675903206430629, 0.7670566666630769, 0.7664679313750851, 0.7659231955955614, 0.7652443942810387, 0.7645469618644657, 0.7638506320948679, 0.7633257060818378, 0.7627318937761849, 0.7621905055208849, 0.7615885577573471, 0.7610272988837307, 0.7604928282770638, 0.7599009696357111, 0.7593173422123393, 0.7587147330403394, 0.7581144506644533, 0.7575668367710087, 0.7569576340486096, 0.7564999113216813, 0.7559638963637034, 0.7552550133041116, 0.7545796387122742, 0.7538517794718662, 0.7531298746892223, 0.752575209568349, 0.7519325262077601, 0.7513585094064563, 0.750736278019202, 0.7500704006493422, 0.7494805969608952, 0.7489311838078718, 0.7484414444712327, 0.7478172114053007, 0.7471141521260626, 0.7464334270330508, 0.7457030785054386, 0.7449437793657613, 0.7440627808987967, 0.7433897927811617, 0.7426859718702477, 0.7418644805754125, 0.7411713820296943, 0.7405226864416454, 0.7399768467174486, 0.7393661557827099, 0.738949821607582, 0.7383103402701086, 0.7378391128518769, 0.7370228966797387, 0.7363946360030817, 0.7355847905533689, 0.7350420388623639, 0.7346765661245741, 0.7343033821666471, 0.7336796141166038, 0.7331666892580555, 0.7328032376082576, 0.7323663222857983, 0.7319139148864332, 0.7314028075226606, 0.7309166042726887, 0.7302259102930587, 0.7296993284517235, 0.7292635263231895, 0.7290506165036915, 0.7283494576970615, 0.7281572484919691, 0.7278647630575623, 0.727651309723987, 0.7278011612455115, 0.7277534320493577, 0.727593717196391, 0.7277328470890574, 0.7272682287179681, 0.7266874868614424, 0.7268199754081471, 0.7267818376736599, 0.7267273048051994, 0.7263990551806575, 0.7262959252313517, 0.7260533663275213, 0.7254632144254458, 0.7250548772057315, 0.7247740749871413, 0.7242785860657648, 0.7236491119986231, 0.7228834562681163, 0.7223501735447816, 0.7220447529633731, 0.7213278911419847, 0.7206485481040413, 0.7199294029328167, 0.7192001201504593, 0.7184310302681229, 0.7175634874387226, 0.7167502459385939, 0.7159418139743753, 0.7154561004378909, 0.7147227591133237, 0.71381952840373, 0.7130318086540668, 0.7123409341445706, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}, {\\\"fill\\\": \\\"tonexty\\\", \\\"fillcolor\\\": \\\"rgba(150, 0, 0, 0.2)\\\", \\\"hoverinfo\\\": \\\"skip\\\", \\\"line\\\": {\\\"color\\\": \\\"rgba(150, 0, 0, 1)\\\", \\\"width\\\": 0.0}, \\\"name\\\": \\\"CNN\\\", \\\"showlegend\\\": false, \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.5, 0.5001, 0.5002, 0.5003, 0.5004, 0.5005, 0.5006, 0.5007, 0.5008, 0.5009, 0.501, 0.5011, 0.5012, 0.5013, 0.5014, 0.5015, 0.5016, 0.5017, 0.5018, 0.5019, 0.502, 0.5021, 0.5022, 0.5023, 0.5024, 0.5025, 0.5026, 0.5027, 0.5028, 0.5029, 0.503, 0.5031, 0.5032, 0.5033, 0.5034, 0.5035, 0.5036, 0.5037, 0.5038, 0.5039, 0.504, 0.5041, 0.5042, 0.5043, 0.5044, 0.5045, 0.5046, 0.5047, 0.5048, 0.5049, 0.505, 0.5051, 0.5052, 0.5053, 0.5054, 0.5055, 0.5056, 0.5057, 0.5058, 0.5059, 0.506, 0.5061, 0.5062, 0.5063, 0.5064, 0.5065, 0.5066, 0.5067, 0.5068, 0.5069, 0.507, 0.5071, 0.5072, 0.5073, 0.5074, 0.5075, 0.5076, 0.5077, 0.5078, 0.5079, 0.508, 0.5081, 0.5082, 0.5083, 0.5084, 0.5085, 0.5086, 0.5087, 0.5088, 0.5089, 0.509, 0.5091, 0.5092, 0.5093, 0.5094, 0.5095, 0.5096, 0.5097, 0.5098, 0.5099, 0.51, 0.5101, 0.5102, 0.5103, 0.5104, 0.5105, 0.5106, 0.5107, 0.5108, 0.5109, 0.511, 0.5111, 0.5112, 0.5113, 0.5114, 0.5115, 0.5116, 0.5117, 0.5118, 0.5119, 0.512, 0.5121, 0.5122, 0.5123, 0.5124, 0.5125, 0.5126, 0.5127, 0.5128, 0.5129, 0.513, 0.5131, 0.5132, 0.5133, 0.5134, 0.5135, 0.5136000000000001, 0.5137, 0.5138, 0.5139, 0.514, 0.5141, 0.5142, 0.5143, 0.5144, 0.5145, 0.5146, 0.5147, 0.5148, 0.5149, 0.515, 0.5151, 0.5152, 0.5153, 0.5154, 0.5155, 0.5156, 0.5157, 0.5158, 0.5159, 0.516, 0.5161, 0.5162, 0.5163, 0.5164, 0.5165, 0.5166, 0.5167, 0.5168, 0.5169, 0.517, 0.5171, 0.5172, 0.5173, 0.5174, 0.5175, 0.5176, 0.5177, 0.5178, 0.5179, 0.518, 0.5181, 0.5182, 0.5183, 0.5184, 0.5185, 0.5186, 0.5187, 0.5188, 0.5189, 0.519, 0.5191, 0.5192, 0.5193, 0.5194, 0.5195, 0.5196, 0.5197, 0.5198, 0.5199, 0.52, 0.5201, 0.5202, 0.5203, 0.5204, 0.5205, 0.5206, 0.5207, 0.5208, 0.5209, 0.521, 0.5211, 0.5212, 0.5213, 0.5214, 0.5215, 0.5216, 0.5217, 0.5218, 0.5219, 0.522, 0.5221, 0.5222, 0.5223, 0.5224, 0.5225, 0.5226, 0.5227, 0.5228, 0.5229, 0.523, 0.5231, 0.5232, 0.5233, 0.5234, 0.5235, 0.5236, 0.5237, 0.5238, 0.5239, 0.524, 0.5241, 0.5242, 0.5243, 0.5244, 0.5245, 0.5246, 0.5246999999999999, 0.5248, 0.5249, 0.525, 0.5251, 0.5252, 0.5253, 0.5254, 0.5255, 0.5256, 0.5257000000000001, 0.5258, 0.5259, 0.526, 0.5261, 0.5262, 0.5263, 0.5264, 0.5265, 0.5266, 0.5267, 0.5268, 0.5269, 0.527, 0.5271, 0.5272, 0.5273, 0.5274, 0.5275, 0.5276, 0.5277000000000001, 0.5278, 0.5279, 0.528, 0.5281, 0.5282, 0.5283, 0.5284, 0.5285, 0.5286, 0.5287, 0.5288, 0.5289, 0.529, 0.5291, 0.5292, 0.5293, 0.5294, 0.5295, 0.5296, 0.5297, 0.5298, 0.5299, 0.53, 0.5301, 0.5302, 0.5303, 0.5304, 0.5305, 0.5306, 0.5307, 0.5308, 0.5309, 0.531, 0.5311, 0.5312, 0.5313, 0.5314, 0.5315, 0.5316, 0.5317, 0.5318, 0.5319, 0.532, 0.5321, 0.5322, 0.5323, 0.5324, 0.5325, 0.5326, 0.5327, 0.5328, 0.5329, 0.533, 0.5331, 0.5332, 0.5333, 0.5334, 0.5335, 0.5336, 0.5337, 0.5338, 0.5339, 0.534, 0.5341, 0.5342, 0.5343, 0.5344, 0.5345, 0.5346, 0.5347, 0.5348, 0.5349, 0.535, 0.5351, 0.5352, 0.5353, 0.5354, 0.5355, 0.5356, 0.5357, 0.5358, 0.5359, 0.536, 0.5361, 0.5362, 0.5363, 0.5364, 0.5365, 0.5366, 0.5367, 0.5367999999999999, 0.5369, 0.537, 0.5371, 0.5372, 0.5373, 0.5374, 0.5375, 0.5376, 0.5377, 0.5378000000000001, 0.5379, 0.538, 0.5381, 0.5382, 0.5383, 0.5384, 0.5385, 0.5386, 0.5387, 0.5388, 0.5389, 0.539, 0.5391, 0.5392, 0.5393, 0.5394, 0.5395, 0.5396, 0.5397, 0.5398000000000001, 0.5399, 0.54, 0.5401, 0.5402, 0.5403, 0.5404, 0.5405, 0.5406, 0.5407, 0.5408, 0.5409, 0.541, 0.5411, 0.5412, 0.5413, 0.5414, 0.5415, 0.5416, 0.5417, 0.5418000000000001, 0.5419, 0.542, 0.5421, 0.5422, 0.5423, 0.5424, 0.5425, 0.5426, 0.5427, 0.5428, 0.5429, 0.543, 0.5431, 0.5432, 0.5433, 0.5434, 0.5435, 0.5436, 0.5437, 0.5438, 0.5439, 0.544, 0.5441, 0.5442, 0.5443, 0.5444, 0.5445, 0.5446, 0.5447, 0.5448, 0.5449, 0.545, 0.5451, 0.5452, 0.5453, 0.5454, 0.5455, 0.5456, 0.5457, 0.5458, 0.5459, 0.546, 0.5461, 0.5462, 0.5463, 0.5464, 0.5465, 0.5466, 0.5467, 0.5468, 0.5469, 0.547, 0.5471, 0.5472, 0.5473, 0.5474, 0.5475, 0.5476, 0.5477, 0.5478, 0.5479, 0.548, 0.5481, 0.5482, 0.5483, 0.5484, 0.5485, 0.5486, 0.5487, 0.5488, 0.5488999999999999, 0.549, 0.5491, 0.5492, 0.5493, 0.5494, 0.5495, 0.5496, 0.5497, 0.5498, 0.5499, 0.55, 0.5501, 0.5502, 0.5503, 0.5504, 0.5505, 0.5506, 0.5507, 0.5508, 0.5509, 0.551, 0.5511, 0.5512, 0.5513, 0.5514, 0.5515, 0.5516, 0.5517, 0.5518, 0.5519000000000001, 0.552, 0.5521, 0.5522, 0.5523, 0.5524, 0.5525, 0.5526, 0.5527, 0.5528, 0.5529, 0.553, 0.5531, 0.5532, 0.5533, 0.5534, 0.5535, 0.5536, 0.5537, 0.5538, 0.5539000000000001, 0.554, 0.5541, 0.5542, 0.5543, 0.5544, 0.5545, 0.5546, 0.5547, 0.5548, 0.5549, 0.555, 0.5551, 0.5552, 0.5553, 0.5554, 0.5555, 0.5556, 0.5557, 0.5558, 0.5559000000000001, 0.556, 0.5561, 0.5562, 0.5563, 0.5564, 0.5565, 0.5566, 0.5567, 0.5568, 0.5569, 0.557, 0.5571, 0.5572, 0.5573, 0.5574, 0.5575, 0.5576, 0.5577, 0.5578, 0.5579, 0.558, 0.5581, 0.5582, 0.5583, 0.5584, 0.5585, 0.5586, 0.5587, 0.5588, 0.5589, 0.559, 0.5591, 0.5592, 0.5593, 0.5594, 0.5595, 0.5596, 0.5597, 0.5598, 0.5599, 0.56, 0.5601, 0.5602, 0.5603, 0.5604, 0.5605, 0.5606, 0.5607, 0.5608, 0.5609, 0.561, 0.5611, 0.5612, 0.5613, 0.5614, 0.5615, 0.5616, 0.5617, 0.5618, 0.5619, 0.562, 0.5621, 0.5622, 0.5623, 0.5624, 0.5625, 0.5626, 0.5627, 0.5628, 0.5629, 0.563, 0.5631, 0.5632, 0.5633, 0.5634, 0.5635, 0.5636, 0.5637, 0.5638, 0.5639, 0.5640000000000001, 0.5641, 0.5642, 0.5643, 0.5644, 0.5645, 0.5646, 0.5647, 0.5648, 0.5649, 0.565, 0.5651, 0.5652, 0.5653, 0.5654, 0.5655, 0.5656, 0.5657, 0.5658, 0.5659, 0.5660000000000001, 0.5661, 0.5662, 0.5663, 0.5664, 0.5665, 0.5666, 0.5667, 0.5668, 0.5669, 0.567, 0.5671, 0.5672, 0.5673, 0.5674, 0.5675, 0.5676, 0.5677, 0.5678, 0.5679, 0.5680000000000001, 0.5681, 0.5682, 0.5683, 0.5684, 0.5685, 0.5686, 0.5687, 0.5688, 0.5689, 0.569, 0.5691, 0.5692, 0.5693, 0.5694, 0.5695, 0.5696, 0.5697, 0.5698, 0.5699, 0.5700000000000001, 0.5701, 0.5702, 0.5703, 0.5704, 0.5705, 0.5706, 0.5707, 0.5708, 0.5709, 0.571, 0.5710999999999999, 0.5712, 0.5713, 0.5714, 0.5715, 0.5716, 0.5717, 0.5718, 0.5719, 0.5720000000000001, 0.5721, 0.5722, 0.5723, 0.5724, 0.5725, 0.5726, 0.5727, 0.5728, 0.5729, 0.573, 0.5730999999999999, 0.5732, 0.5733, 0.5734, 0.5735, 0.5736, 0.5737, 0.5738, 0.5739, 0.5740000000000001, 0.5741, 0.5742, 0.5743, 0.5744, 0.5745, 0.5746, 0.5747, 0.5748, 0.5749, 0.575, 0.5751, 0.5752, 0.5753, 0.5754, 0.5755, 0.5756, 0.5757, 0.5758, 0.5759, 0.576, 0.5761000000000001, 0.5762, 0.5763, 0.5764, 0.5765, 0.5766, 0.5767, 0.5768, 0.5769, 0.577, 0.5771, 0.5772, 0.5773, 0.5774, 0.5775, 0.5776, 0.5777, 0.5778, 0.5779, 0.578, 0.5781000000000001, 0.5782, 0.5783, 0.5784, 0.5785, 0.5786, 0.5787, 0.5788, 0.5789, 0.579, 0.5791, 0.5792, 0.5793, 0.5794, 0.5795, 0.5796, 0.5797, 0.5798, 0.5799, 0.58, 0.5801000000000001, 0.5802, 0.5803, 0.5804, 0.5805, 0.5806, 0.5807, 0.5808, 0.5809, 0.581, 0.5811, 0.5812, 0.5813, 0.5814, 0.5815, 0.5816, 0.5817, 0.5818, 0.5819, 0.582, 0.5821000000000001, 0.5822, 0.5823, 0.5824, 0.5825, 0.5826, 0.5827, 0.5828, 0.5829, 0.583, 0.5831, 0.5832, 0.5833, 0.5834, 0.5835, 0.5836, 0.5837, 0.5838, 0.5839, 0.584, 0.5841000000000001, 0.5842, 0.5843, 0.5844, 0.5845, 0.5846, 0.5847, 0.5848, 0.5849, 0.585, 0.5851, 0.5851999999999999, 0.5853, 0.5854, 0.5855, 0.5856, 0.5857, 0.5858, 0.5859, 0.586, 0.5861000000000001, 0.5862, 0.5863, 0.5864, 0.5865, 0.5866, 0.5867, 0.5868, 0.5869, 0.587, 0.5871, 0.5871999999999999, 0.5873, 0.5874, 0.5875, 0.5876, 0.5877, 0.5878, 0.5879, 0.588, 0.5881, 0.5882000000000001, 0.5883, 0.5884, 0.5885, 0.5886, 0.5887, 0.5888, 0.5889, 0.589, 0.5891, 0.5892, 0.5893, 0.5894, 0.5895, 0.5896, 0.5897, 0.5898, 0.5899, 0.59, 0.5901, 0.5902000000000001, 0.5903, 0.5904, 0.5905, 0.5906, 0.5907, 0.5908, 0.5909, 0.591, 0.5911, 0.5912, 0.5913, 0.5914, 0.5915, 0.5916, 0.5917, 0.5918, 0.5919, 0.592, 0.5921, 0.5922000000000001, 0.5923, 0.5924, 0.5925, 0.5926, 0.5927, 0.5928, 0.5929, 0.593, 0.5931, 0.5932, 0.5933, 0.5934, 0.5935, 0.5936, 0.5937, 0.5938, 0.5939, 0.594, 0.5941, 0.5942000000000001, 0.5943, 0.5944, 0.5945, 0.5946, 0.5947, 0.5948, 0.5949, 0.595, 0.5951, 0.5952, 0.5953, 0.5954, 0.5955, 0.5956, 0.5957, 0.5958, 0.5959, 0.596, 0.5961, 0.5962000000000001, 0.5963, 0.5964, 0.5965, 0.5966, 0.5967, 0.5968, 0.5969, 0.597, 0.5971, 0.5972, 0.5973, 0.5974, 0.5975, 0.5976, 0.5977, 0.5978, 0.5979, 0.598, 0.5981, 0.5982000000000001, 0.5983, 0.5984, 0.5985, 0.5986, 0.5987, 0.5988, 0.5989, 0.599, 0.5991, 0.5992, 0.5992999999999999, 0.5994, 0.5995, 0.5996, 0.5997, 0.5998, 0.5999, 0.6, 0.6001, 0.6002000000000001, 0.6003000000000001, 0.6004, 0.6005, 0.6006, 0.6007, 0.6008, 0.6009, 0.601, 0.6011, 0.6012, 0.6013, 0.6014, 0.6015, 0.6016, 0.6017, 0.6018, 0.6019, 0.602, 0.6021, 0.6022, 0.6023000000000001, 0.6024, 0.6025, 0.6026, 0.6027, 0.6028, 0.6029, 0.603, 0.6031, 0.6032, 0.6033, 0.6034, 0.6035, 0.6036, 0.6037, 0.6038, 0.6039, 0.604, 0.6041, 0.6042, 0.6043000000000001, 0.6044, 0.6045, 0.6046, 0.6047, 0.6048, 0.6049, 0.605, 0.6051, 0.6052, 0.6053, 0.6054, 0.6055, 0.6056, 0.6057, 0.6058, 0.6059, 0.606, 0.6061, 0.6062, 0.6063000000000001, 0.6064, 0.6065, 0.6066, 0.6067, 0.6068, 0.6069, 0.607, 0.6071, 0.6072, 0.6073, 0.6074, 0.6075, 0.6076, 0.6077, 0.6078, 0.6079, 0.608, 0.6081, 0.6082, 0.6083000000000001, 0.6084, 0.6085, 0.6086, 0.6087, 0.6088, 0.6089, 0.609, 0.6091, 0.6092, 0.6093, 0.6094, 0.6095, 0.6096, 0.6097, 0.6098, 0.6099, 0.61, 0.6101, 0.6102, 0.6103000000000001, 0.6104, 0.6105, 0.6106, 0.6107, 0.6108, 0.6109, 0.611, 0.6111, 0.6112, 0.6113, 0.6113999999999999, 0.6115, 0.6116, 0.6117, 0.6118, 0.6119, 0.612, 0.6121, 0.6122, 0.6123000000000001, 0.6124, 0.6125, 0.6126, 0.6127, 0.6128, 0.6129, 0.613, 0.6131, 0.6132, 0.6133, 0.6134, 0.6135, 0.6136, 0.6137, 0.6138, 0.6139, 0.614, 0.6141, 0.6142, 0.6143, 0.6144000000000001, 0.6145, 0.6146, 0.6147, 0.6148, 0.6149, 0.615, 0.6151, 0.6152, 0.6153, 0.6154, 0.6155, 0.6156, 0.6157, 0.6158, 0.6159, 0.616, 0.6161, 0.6162, 0.6163, 0.6164000000000001, 0.6165, 0.6166, 0.6167, 0.6168, 0.6169, 0.617, 0.6171, 0.6172, 0.6173, 0.6174, 0.6175, 0.6176, 0.6177, 0.6178, 0.6179, 0.618, 0.6181, 0.6182, 0.6183, 0.6184000000000001, 0.6185, 0.6186, 0.6187, 0.6188, 0.6189, 0.619, 0.6191, 0.6192, 0.6193, 0.6194, 0.6195, 0.6196, 0.6197, 0.6198, 0.6199, 0.62, 0.6201, 0.6202, 0.6203, 0.6204000000000001, 0.6205, 0.6206, 0.6207, 0.6208, 0.6209, 0.621, 0.6211, 0.6212, 0.6213, 0.6214, 0.6215, 0.6216, 0.6217, 0.6218, 0.6219, 0.622, 0.6221, 0.6222, 0.6223, 0.6224000000000001, 0.6225, 0.6226, 0.6227, 0.6228, 0.6229, 0.623, 0.6231, 0.6232, 0.6233, 0.6234, 0.6235, 0.6236, 0.6237, 0.6238, 0.6239, 0.624, 0.6241, 0.6242, 0.6243, 0.6244000000000001, 0.6245, 0.6246, 0.6247, 0.6248, 0.6249, 0.625, 0.6251, 0.6252, 0.6253, 0.6254, 0.6255, 0.6256, 0.6257, 0.6258, 0.6259, 0.626, 0.6261, 0.6262, 0.6263, 0.6264000000000001, 0.6265000000000001, 0.6266, 0.6267, 0.6268, 0.6269, 0.627, 0.6271, 0.6272, 0.6273, 0.6274, 0.6275, 0.6276, 0.6277, 0.6278, 0.6279, 0.628, 0.6281, 0.6282, 0.6283, 0.6284000000000001, 0.6285000000000001, 0.6286, 0.6287, 0.6288, 0.6289, 0.629, 0.6291, 0.6292, 0.6293, 0.6294, 0.6295, 0.6295999999999999, 0.6297, 0.6298, 0.6299, 0.63, 0.6301, 0.6302, 0.6303, 0.6304000000000001, 0.6305000000000001, 0.6306, 0.6307, 0.6308, 0.6309, 0.631, 0.6311, 0.6312, 0.6313, 0.6314, 0.6315, 0.6315999999999999, 0.6317, 0.6318, 0.6319, 0.632, 0.6321, 0.6322, 0.6323, 0.6324000000000001, 0.6325000000000001, 0.6326, 0.6327, 0.6328, 0.6329, 0.633, 0.6331, 0.6332, 0.6333, 0.6334, 0.6335, 0.6335999999999999, 0.6337, 0.6338, 0.6339, 0.634, 0.6341, 0.6342, 0.6343, 0.6344000000000001, 0.6345000000000001, 0.6346, 0.6347, 0.6348, 0.6349, 0.635, 0.6351, 0.6352, 0.6353, 0.6354, 0.6355, 0.6355999999999999, 0.6357, 0.6358, 0.6359, 0.636, 0.6361, 0.6362, 0.6363, 0.6364, 0.6365000000000001, 0.6366, 0.6367, 0.6368, 0.6369, 0.637, 0.6371, 0.6372, 0.6373, 0.6374, 0.6375, 0.6376, 0.6377, 0.6378, 0.6379, 0.638, 0.6381, 0.6382, 0.6383, 0.6384, 0.6385000000000001, 0.6386000000000001, 0.6387, 0.6388, 0.6389, 0.639, 0.6391, 0.6392, 0.6393, 0.6394, 0.6395, 0.6396, 0.6397, 0.6398, 0.6399, 0.64, 0.6401, 0.6402, 0.6403, 0.6404, 0.6405000000000001, 0.6406000000000001, 0.6407, 0.6408, 0.6409, 0.641, 0.6411, 0.6412, 0.6413, 0.6414, 0.6415, 0.6416, 0.6417, 0.6418, 0.6419, 0.642, 0.6421, 0.6422, 0.6423, 0.6424, 0.6425000000000001, 0.6426000000000001, 0.6427, 0.6428, 0.6429, 0.643, 0.6431, 0.6432, 0.6433, 0.6434, 0.6435, 0.6436, 0.6436999999999999, 0.6438, 0.6439, 0.644, 0.6441, 0.6442, 0.6443, 0.6444, 0.6445000000000001, 0.6446000000000001, 0.6447, 0.6448, 0.6449, 0.645, 0.6451, 0.6452, 0.6453, 0.6454, 0.6455, 0.6456, 0.6456999999999999, 0.6458, 0.6459, 0.646, 0.6461, 0.6462, 0.6463, 0.6464, 0.6465000000000001, 0.6466000000000001, 0.6467, 0.6468, 0.6469, 0.647, 0.6471, 0.6472, 0.6473, 0.6474, 0.6475, 0.6476, 0.6476999999999999, 0.6478, 0.6479, 0.648, 0.6481, 0.6482, 0.6483, 0.6484, 0.6485000000000001, 0.6486000000000001, 0.6487, 0.6488, 0.6489, 0.649, 0.6491, 0.6492, 0.6493, 0.6494, 0.6495, 0.6496, 0.6496999999999999, 0.6498, 0.6499, 0.65, 0.6501, 0.6502, 0.6503, 0.6504, 0.6505, 0.6506000000000001, 0.6507000000000001, 0.6508, 0.6509, 0.651, 0.6511, 0.6512, 0.6513, 0.6514, 0.6515, 0.6516, 0.6517, 0.6518, 0.6519, 0.652, 0.6521, 0.6522, 0.6523, 0.6524, 0.6525, 0.6526000000000001, 0.6527000000000001, 0.6528, 0.6529, 0.653, 0.6531, 0.6532, 0.6533, 0.6534, 0.6535, 0.6536, 0.6537, 0.6538, 0.6539, 0.654, 0.6541, 0.6542, 0.6543, 0.6544, 0.6545, 0.6546000000000001, 0.6547000000000001, 0.6548, 0.6549, 0.655, 0.6551, 0.6552, 0.6553, 0.6554, 0.6555, 0.6556, 0.6557, 0.6557999999999999, 0.6559, 0.656, 0.6561, 0.6562, 0.6563, 0.6564, 0.6565, 0.6566000000000001, 0.6567000000000001, 0.6568, 0.6569, 0.657, 0.6571, 0.6572, 0.6573, 0.6574, 0.6575, 0.6576, 0.6577, 0.6577999999999999, 0.6579, 0.658, 0.6581, 0.6582, 0.6583, 0.6584, 0.6585, 0.6586000000000001, 0.6587000000000001, 0.6588, 0.6589, 0.659, 0.6591, 0.6592, 0.6593, 0.6594, 0.6595, 0.6596, 0.6597, 0.6597999999999999, 0.6599, 0.66, 0.6601, 0.6602, 0.6603, 0.6604, 0.6605, 0.6606000000000001, 0.6607000000000001, 0.6608, 0.6609, 0.661, 0.6611, 0.6612, 0.6613, 0.6614, 0.6615, 0.6616, 0.6617, 0.6617999999999999, 0.6619, 0.662, 0.6621, 0.6622, 0.6623, 0.6624, 0.6625, 0.6626, 0.6627000000000001, 0.6628000000000001, 0.6629, 0.663, 0.6631, 0.6632, 0.6633, 0.6634, 0.6635, 0.6636, 0.6637, 0.6638, 0.6639, 0.664, 0.6641, 0.6642, 0.6643, 0.6644, 0.6645, 0.6646, 0.6647000000000001, 0.6648000000000001, 0.6649, 0.665, 0.6651, 0.6652, 0.6653, 0.6654, 0.6655, 0.6656, 0.6657, 0.6658, 0.6659, 0.666, 0.6661, 0.6662, 0.6663, 0.6664, 0.6665, 0.6666, 0.6667000000000001, 0.6668000000000001, 0.6669, 0.667, 0.6671, 0.6672, 0.6673, 0.6674, 0.6675, 0.6676, 0.6677, 0.6678, 0.6679, 0.668, 0.6681, 0.6682, 0.6683, 0.6684, 0.6685, 0.6686, 0.6687000000000001, 0.6688000000000001, 0.6689, 0.669, 0.6691, 0.6692, 0.6693, 0.6694, 0.6695, 0.6696, 0.6697, 0.6698, 0.6698999999999999, 0.67, 0.6701, 0.6702, 0.6703, 0.6704, 0.6705, 0.6706, 0.6707000000000001, 0.6708000000000001, 0.6709, 0.671, 0.6711, 0.6712, 0.6713, 0.6714, 0.6715, 0.6716, 0.6717, 0.6718, 0.6718999999999999, 0.672, 0.6721, 0.6722, 0.6723, 0.6724, 0.6725, 0.6726, 0.6727000000000001, 0.6728000000000001, 0.6729, 0.673, 0.6731, 0.6732, 0.6733, 0.6734, 0.6735, 0.6736, 0.6737, 0.6738, 0.6738999999999999, 0.674, 0.6741, 0.6742, 0.6743, 0.6744, 0.6745, 0.6746, 0.6747000000000001, 0.6748000000000001, 0.6749, 0.675, 0.6751, 0.6752, 0.6753, 0.6754, 0.6755, 0.6756, 0.6757, 0.6758, 0.6759, 0.676, 0.6761, 0.6762, 0.6763, 0.6764, 0.6765, 0.6766, 0.6767, 0.6768000000000001, 0.6769000000000001, 0.677, 0.6771, 0.6772, 0.6773, 0.6774, 0.6775, 0.6776, 0.6777, 0.6778, 0.6779, 0.678, 0.6781, 0.6782, 0.6783, 0.6784, 0.6785, 0.6786, 0.6787, 0.6788000000000001, 0.6789000000000001, 0.679, 0.6791, 0.6792, 0.6793, 0.6794, 0.6795, 0.6796, 0.6797, 0.6798, 0.6799, 0.68, 0.6801, 0.6802, 0.6803, 0.6804, 0.6805, 0.6806, 0.6807, 0.6808000000000001, 0.6809000000000001, 0.681, 0.6811, 0.6812, 0.6813, 0.6814, 0.6815, 0.6816, 0.6817, 0.6818, 0.6819, 0.6819999999999999, 0.6821, 0.6822, 0.6823, 0.6824, 0.6825, 0.6826, 0.6827, 0.6828000000000001, 0.6829000000000001, 0.683, 0.6831, 0.6832, 0.6833, 0.6834, 0.6835, 0.6836, 0.6837, 0.6838, 0.6839, 0.6839999999999999, 0.6841, 0.6842, 0.6843, 0.6844, 0.6845, 0.6846, 0.6847, 0.6848000000000001, 0.6849000000000001, 0.685, 0.6851, 0.6852, 0.6853, 0.6854, 0.6855, 0.6856, 0.6857, 0.6858, 0.6859, 0.6859999999999999, 0.6861, 0.6862, 0.6863, 0.6864, 0.6865, 0.6866, 0.6867, 0.6868000000000001, 0.6869000000000001, 0.687, 0.6871, 0.6872, 0.6873, 0.6874, 0.6875, 0.6876, 0.6877, 0.6878, 0.6879, 0.688, 0.6881, 0.6882, 0.6883, 0.6884, 0.6885, 0.6886, 0.6887, 0.6888, 0.6889000000000001, 0.6890000000000001, 0.6891, 0.6892, 0.6893, 0.6894, 0.6895, 0.6896, 0.6897, 0.6898, 0.6899, 0.69, 0.6901, 0.6902, 0.6903, 0.6904, 0.6905, 0.6906, 0.6907, 0.6908, 0.6909000000000001, 0.6910000000000001, 0.6911, 0.6912, 0.6913, 0.6914, 0.6915, 0.6916, 0.6917, 0.6918, 0.6919, 0.692, 0.6921, 0.6922, 0.6923, 0.6924, 0.6925, 0.6926, 0.6927, 0.6928, 0.6929000000000001, 0.6930000000000001, 0.6931, 0.6932, 0.6933, 0.6934, 0.6935, 0.6936, 0.6937, 0.6938, 0.6939, 0.694, 0.6941, 0.6942, 0.6943, 0.6944, 0.6945, 0.6946, 0.6947, 0.6948, 0.6949000000000001, 0.6950000000000001, 0.6951, 0.6952, 0.6953, 0.6954, 0.6955, 0.6956, 0.6957, 0.6958, 0.6959, 0.696, 0.6960999999999999, 0.6962, 0.6963, 0.6964, 0.6965, 0.6966, 0.6967, 0.6968, 0.6969000000000001, 0.6970000000000001, 0.6971, 0.6972, 0.6973, 0.6974, 0.6975, 0.6976, 0.6977, 0.6978, 0.6979, 0.698, 0.6980999999999999, 0.6982, 0.6983, 0.6984, 0.6985, 0.6986, 0.6987, 0.6988, 0.6989000000000001, 0.6990000000000001, 0.6991, 0.6992, 0.6993, 0.6994, 0.6995, 0.6996, 0.6997, 0.6998, 0.6999, 0.7, 0.7001, 0.7002, 0.7003, 0.7004, 0.7005, 0.7006, 0.7007, 0.7008, 0.7009000000000001, 0.7010000000000001, 0.7011000000000001, 0.7012, 0.7013, 0.7014, 0.7015, 0.7016, 0.7017, 0.7018, 0.7019, 0.702, 0.7021, 0.7022, 0.7023, 0.7024, 0.7025, 0.7026, 0.7027, 0.7028, 0.7029, 0.7030000000000001, 0.7031000000000001, 0.7032, 0.7033, 0.7034, 0.7035, 0.7036, 0.7037, 0.7038, 0.7039, 0.704, 0.7041, 0.7042, 0.7043, 0.7044, 0.7045, 0.7046, 0.7047, 0.7048, 0.7049, 0.7050000000000001, 0.7051000000000001, 0.7052, 0.7053, 0.7054, 0.7055, 0.7056, 0.7057, 0.7058, 0.7059, 0.706, 0.7061, 0.7062, 0.7063, 0.7064, 0.7065, 0.7066, 0.7067, 0.7068, 0.7069, 0.7070000000000001, 0.7071000000000001, 0.7072, 0.7073, 0.7074, 0.7075, 0.7076, 0.7077, 0.7078, 0.7079, 0.708, 0.7081, 0.7081999999999999, 0.7083, 0.7084, 0.7085, 0.7086, 0.7087, 0.7088, 0.7089, 0.7090000000000001, 0.7091000000000001, 0.7092, 0.7093, 0.7094, 0.7095, 0.7096, 0.7097, 0.7098, 0.7099, 0.71, 0.7101, 0.7101999999999999, 0.7103, 0.7104, 0.7105, 0.7106, 0.7107, 0.7108, 0.7109, 0.7110000000000001, 0.7111000000000001, 0.7112, 0.7113, 0.7114, 0.7115, 0.7116, 0.7117, 0.7118, 0.7119, 0.712, 0.7121, 0.7121999999999999, 0.7123, 0.7124, 0.7125, 0.7126, 0.7127, 0.7128, 0.7129, 0.7130000000000001, 0.7131000000000001, 0.7132000000000001, 0.7133, 0.7134, 0.7135, 0.7136, 0.7137, 0.7138, 0.7139, 0.714, 0.7141, 0.7142, 0.7143, 0.7144, 0.7145, 0.7146, 0.7147, 0.7148, 0.7149, 0.715, 0.7151000000000001, 0.7152000000000001, 0.7153, 0.7154, 0.7155, 0.7156, 0.7157, 0.7158, 0.7159, 0.716, 0.7161, 0.7162, 0.7163, 0.7164, 0.7165, 0.7166, 0.7167, 0.7168, 0.7169, 0.717, 0.7171000000000001, 0.7172000000000001, 0.7173, 0.7174, 0.7175, 0.7176, 0.7177, 0.7178, 0.7179, 0.718, 0.7181, 0.7182, 0.7183, 0.7184, 0.7185, 0.7186, 0.7187, 0.7188, 0.7189, 0.719, 0.7191000000000001, 0.7192000000000001, 0.7193, 0.7194, 0.7195, 0.7196, 0.7197, 0.7198, 0.7199, 0.72, 0.7201, 0.7202, 0.7203, 0.7204, 0.7205, 0.7206, 0.7207, 0.7208, 0.7209, 0.721, 0.7211000000000001, 0.7212000000000001, 0.7213, 0.7214, 0.7215, 0.7216, 0.7217, 0.7218, 0.7219, 0.722, 0.7221, 0.7222, 0.7222999999999999, 0.7224, 0.7225, 0.7226, 0.7227, 0.7228, 0.7229, 0.723, 0.7231000000000001, 0.7232000000000001, 0.7233, 0.7234, 0.7235, 0.7236, 0.7237, 0.7238, 0.7239, 0.724, 0.7241, 0.7242, 0.7242999999999999, 0.7244, 0.7245, 0.7246, 0.7247, 0.7248, 0.7249, 0.725, 0.7251000000000001, 0.7252000000000001, 0.7253000000000001, 0.7254, 0.7255, 0.7256, 0.7257, 0.7258, 0.7259, 0.726, 0.7261, 0.7262, 0.7263, 0.7264, 0.7265, 0.7266, 0.7267, 0.7268, 0.7269, 0.727, 0.7271000000000001, 0.7272000000000001, 0.7273000000000001, 0.7274, 0.7275, 0.7276, 0.7277, 0.7278, 0.7279, 0.728, 0.7281, 0.7282, 0.7283, 0.7284, 0.7285, 0.7286, 0.7287, 0.7288, 0.7289, 0.729, 0.7291, 0.7292000000000001, 0.7293000000000001, 0.7294, 0.7295, 0.7296, 0.7297, 0.7298, 0.7299, 0.73, 0.7301, 0.7302, 0.7303, 0.7304, 0.7305, 0.7306, 0.7307, 0.7308, 0.7309, 0.731, 0.7311, 0.7312000000000001, 0.7313000000000001, 0.7314, 0.7315, 0.7316, 0.7317, 0.7318, 0.7319, 0.732, 0.7321, 0.7322, 0.7323, 0.7324, 0.7325, 0.7326, 0.7327, 0.7328, 0.7329, 0.733, 0.7331, 0.7332000000000001, 0.7333000000000001, 0.7334, 0.7335, 0.7336, 0.7337, 0.7338, 0.7339, 0.734, 0.7341, 0.7342, 0.7343, 0.7344, 0.7345, 0.7346, 0.7347, 0.7348, 0.7349, 0.735, 0.7351, 0.7352000000000001, 0.7353000000000001, 0.7354, 0.7355, 0.7356, 0.7357, 0.7358, 0.7359, 0.736, 0.7361, 0.7362, 0.7363, 0.7363999999999999, 0.7365, 0.7366, 0.7367, 0.7368, 0.7369, 0.737, 0.7371, 0.7372000000000001, 0.7373000000000001, 0.7374, 0.7375, 0.7376, 0.7377, 0.7378, 0.7379, 0.738, 0.7381, 0.7382, 0.7383, 0.7384, 0.7385, 0.7386, 0.7387, 0.7388, 0.7389, 0.739, 0.7391, 0.7392000000000001, 0.7393000000000001, 0.7394000000000001, 0.7395, 0.7396, 0.7397, 0.7398, 0.7399, 0.74, 0.7401, 0.7402, 0.7403, 0.7404, 0.7405, 0.7406, 0.7407, 0.7408, 0.7409, 0.741, 0.7411, 0.7412, 0.7413000000000001, 0.7414000000000001, 0.7415, 0.7416, 0.7417, 0.7418, 0.7419, 0.742, 0.7421, 0.7422, 0.7423, 0.7424, 0.7425, 0.7426, 0.7427, 0.7428, 0.7429, 0.743, 0.7431, 0.7432, 0.7433000000000001, 0.7434000000000001, 0.7435, 0.7436, 0.7437, 0.7438, 0.7439, 0.744, 0.7441, 0.7442, 0.7443, 0.7444, 0.7445, 0.7446, 0.7447, 0.7448, 0.7449, 0.745, 0.7451, 0.7452, 0.7453000000000001, 0.7454000000000001, 0.7455, 0.7456, 0.7457, 0.7458, 0.7459, 0.746, 0.7461, 0.7462, 0.7463, 0.7464, 0.7465, 0.7466, 0.7467, 0.7468, 0.7469, 0.747, 0.7471, 0.7472, 0.7473000000000001, 0.7474000000000001, 0.7475, 0.7476, 0.7477, 0.7478, 0.7479, 0.748, 0.7481, 0.7482, 0.7483, 0.7484, 0.7484999999999999, 0.7486, 0.7487, 0.7488, 0.7489, 0.749, 0.7491, 0.7492, 0.7493000000000001, 0.7494000000000001, 0.7495, 0.7496, 0.7497, 0.7498, 0.7499, 0.75, 0.7501, 0.7502, 0.7503, 0.7504, 0.7505, 0.7505999999999999, 0.7507, 0.7508, 0.7509, 0.751, 0.7511, 0.7512000000000001, 0.7513000000000001, 0.7514000000000001, 0.7515000000000001, 0.7516, 0.7517, 0.7518, 0.7519, 0.752, 0.7521, 0.7522, 0.7523, 0.7524, 0.7525, 0.7525999999999999, 0.7527, 0.7528, 0.7529, 0.753, 0.7531, 0.7532000000000001, 0.7533000000000001, 0.7534000000000001, 0.7535000000000001, 0.7536, 0.7537, 0.7538, 0.7539, 0.754, 0.7541, 0.7542, 0.7543, 0.7544, 0.7545, 0.7545999999999999, 0.7547, 0.7548, 0.7549, 0.755, 0.7551, 0.7552000000000001, 0.7553000000000001, 0.7554000000000001, 0.7555000000000001, 0.7556, 0.7557, 0.7558, 0.7559, 0.756, 0.7561, 0.7562, 0.7563, 0.7564, 0.7565, 0.7565999999999999, 0.7567, 0.7568, 0.7569, 0.757, 0.7571, 0.7572000000000001, 0.7573000000000001, 0.7574000000000001, 0.7575000000000001, 0.7576, 0.7577, 0.7578, 0.7579, 0.758, 0.7581, 0.7582, 0.7583, 0.7584, 0.7585, 0.7585999999999999, 0.7586999999999999, 0.7588, 0.7589, 0.759, 0.7591, 0.7592, 0.7593000000000001, 0.7594000000000001, 0.7595000000000001, 0.7596, 0.7597, 0.7598, 0.7599, 0.76, 0.7601, 0.7602, 0.7603, 0.7604, 0.7605, 0.7605999999999999, 0.7606999999999999, 0.7608, 0.7609, 0.761, 0.7611, 0.7612, 0.7613000000000001, 0.7614000000000001, 0.7615000000000001, 0.7616, 0.7617, 0.7618, 0.7619, 0.762, 0.7621, 0.7622, 0.7623, 0.7624, 0.7625, 0.7626, 0.7626999999999999, 0.7628, 0.7629, 0.763, 0.7631, 0.7632, 0.7633000000000001, 0.7634000000000001, 0.7635000000000001, 0.7636000000000001, 0.7637, 0.7638, 0.7639, 0.764, 0.7641, 0.7642, 0.7643, 0.7644, 0.7645, 0.7646, 0.7646999999999999, 0.7648, 0.7649, 0.765, 0.7651, 0.7652, 0.7653000000000001, 0.7654000000000001, 0.7655000000000001, 0.7656000000000001, 0.7657, 0.7658, 0.7659, 0.766, 0.7661, 0.7662, 0.7663, 0.7664, 0.7665, 0.7666, 0.7666999999999999, 0.7668, 0.7669, 0.767, 0.7671, 0.7672, 0.7673000000000001, 0.7674000000000001, 0.7675000000000001, 0.7676000000000001, 0.7677, 0.7678, 0.7679, 0.768, 0.7681, 0.7682, 0.7683, 0.7684, 0.7685, 0.7686, 0.7686999999999999, 0.7688, 0.7689, 0.769, 0.7691, 0.7692, 0.7693000000000001, 0.7694000000000001, 0.7695000000000001, 0.7696000000000001, 0.7697, 0.7698, 0.7699, 0.77, 0.7701, 0.7702, 0.7703, 0.7704, 0.7705, 0.7706, 0.7706999999999999, 0.7708, 0.7709, 0.771, 0.7711, 0.7712, 0.7713, 0.7714000000000001, 0.7715000000000001, 0.7716000000000001, 0.7717, 0.7718, 0.7719, 0.772, 0.7721, 0.7722, 0.7723, 0.7724, 0.7725, 0.7726, 0.7726999999999999, 0.7727999999999999, 0.7729, 0.773, 0.7731, 0.7732, 0.7733, 0.7734000000000001, 0.7735000000000001, 0.7736000000000001, 0.7737, 0.7738, 0.7739, 0.774, 0.7741, 0.7742, 0.7743, 0.7744, 0.7745, 0.7746, 0.7746999999999999, 0.7747999999999999, 0.7749, 0.775, 0.7751, 0.7752, 0.7753, 0.7754000000000001, 0.7755000000000001, 0.7756000000000001, 0.7757000000000001, 0.7758, 0.7759, 0.776, 0.7761, 0.7762, 0.7763, 0.7764, 0.7765, 0.7766, 0.7767, 0.7767999999999999, 0.7769, 0.777, 0.7771, 0.7772, 0.7773, 0.7774000000000001, 0.7775000000000001, 0.7776000000000001, 0.7777000000000001, 0.7778, 0.7779, 0.778, 0.7781, 0.7782, 0.7783, 0.7784, 0.7785, 0.7786, 0.7787, 0.7787999999999999, 0.7789, 0.779, 0.7791, 0.7792, 0.7793, 0.7794000000000001, 0.7795000000000001, 0.7796000000000001, 0.7797000000000001, 0.7798, 0.7799, 0.78, 0.7801, 0.7802, 0.7803, 0.7804, 0.7805, 0.7806, 0.7807, 0.7807999999999999, 0.7809, 0.781, 0.7811, 0.7812, 0.7813, 0.7814000000000001, 0.7815000000000001, 0.7816000000000001, 0.7817000000000001, 0.7818, 0.7819, 0.782, 0.7821, 0.7822, 0.7823, 0.7824, 0.7825, 0.7826, 0.7827, 0.7827999999999999, 0.7829, 0.783, 0.7831, 0.7832, 0.7833, 0.7834000000000001, 0.7835000000000001, 0.7836000000000001, 0.7837000000000001, 0.7838, 0.7839, 0.784, 0.7841, 0.7842, 0.7843, 0.7844, 0.7845, 0.7846, 0.7847, 0.7847999999999999, 0.7848999999999999, 0.785, 0.7851, 0.7852, 0.7853, 0.7854, 0.7855000000000001, 0.7856000000000001, 0.7857000000000001, 0.7858, 0.7859, 0.786, 0.7861, 0.7862, 0.7863, 0.7864, 0.7865, 0.7866, 0.7867, 0.7867999999999999, 0.7868999999999999, 0.787, 0.7871, 0.7872, 0.7873, 0.7874, 0.7875000000000001, 0.7876000000000001, 0.7877000000000001, 0.7878000000000001, 0.7879, 0.788, 0.7881, 0.7882, 0.7883, 0.7884, 0.7885, 0.7886, 0.7887, 0.7888, 0.7888999999999999, 0.789, 0.7891, 0.7892, 0.7893, 0.7894, 0.7895000000000001, 0.7896000000000001, 0.7897000000000001, 0.7898000000000001, 0.7899, 0.79, 0.7901, 0.7902, 0.7903, 0.7904, 0.7905, 0.7906, 0.7907, 0.7908, 0.7908999999999999, 0.791, 0.7911, 0.7912, 0.7913, 0.7914, 0.7915000000000001, 0.7916000000000001, 0.7917000000000001, 0.7918000000000001, 0.7919, 0.792, 0.7921, 0.7922, 0.7923, 0.7924, 0.7925, 0.7926, 0.7927, 0.7928, 0.7928999999999999, 0.793, 0.7931, 0.7932, 0.7933, 0.7934, 0.7935000000000001, 0.7936000000000001, 0.7937000000000001, 0.7938000000000001, 0.7939, 0.794, 0.7941, 0.7942, 0.7943, 0.7944, 0.7945, 0.7946, 0.7947, 0.7948, 0.7948999999999999, 0.795, 0.7951, 0.7952, 0.7953, 0.7954, 0.7955000000000001, 0.7956000000000001, 0.7957000000000001, 0.7958000000000001, 0.7959, 0.796, 0.7961, 0.7962, 0.7963, 0.7964, 0.7965, 0.7966, 0.7967, 0.7968, 0.7968999999999999, 0.797, 0.7971, 0.7972, 0.7973, 0.7974, 0.7975, 0.7976000000000001, 0.7977000000000001, 0.7978000000000001, 0.7979, 0.798, 0.7981, 0.7982, 0.7983, 0.7984, 0.7985, 0.7986, 0.7987, 0.7988, 0.7988999999999999, 0.7989999999999999, 0.7991, 0.7992, 0.7993, 0.7994, 0.7995, 0.7996000000000001, 0.7997000000000001, 0.7998000000000001, 0.7999, 0.8, 0.8001, 0.8002, 0.8003, 0.8004, 0.8005, 0.8006, 0.8007, 0.8008, 0.8009, 0.8009999999999999, 0.8011, 0.8012, 0.8013, 0.8014, 0.8015, 0.8016000000000001, 0.8017000000000001, 0.8018000000000001, 0.8019000000000001, 0.802, 0.8021, 0.8022, 0.8023, 0.8024, 0.8025, 0.8026, 0.8027, 0.8028, 0.8029, 0.8029999999999999, 0.8031, 0.8032, 0.8033, 0.8034, 0.8035, 0.8036000000000001, 0.8037000000000001, 0.8038000000000001, 0.8039000000000001, 0.804, 0.8041, 0.8042, 0.8043, 0.8044, 0.8045, 0.8046, 0.8047, 0.8048, 0.8049, 0.8049999999999999, 0.8051, 0.8052, 0.8053, 0.8054, 0.8055, 0.8056000000000001, 0.8057000000000001, 0.8058000000000001, 0.8059000000000001, 0.806, 0.8061, 0.8062, 0.8063, 0.8064, 0.8065, 0.8066, 0.8067, 0.8068, 0.8069, 0.8069999999999999, 0.8071, 0.8072, 0.8073, 0.8074, 0.8075, 0.8076000000000001, 0.8077000000000001, 0.8078000000000001, 0.8079000000000001, 0.808, 0.8081, 0.8082, 0.8083, 0.8084, 0.8085, 0.8086, 0.8087, 0.8088, 0.8089, 0.8089999999999999, 0.8091, 0.8092, 0.8093, 0.8094, 0.8095, 0.8096000000000001, 0.8097000000000001, 0.8098000000000001, 0.8099000000000001, 0.81, 0.8101, 0.8102, 0.8103, 0.8104, 0.8105, 0.8106, 0.8107, 0.8108, 0.8109, 0.8109999999999999, 0.8110999999999999, 0.8112, 0.8113, 0.8114, 0.8115, 0.8116, 0.8117000000000001, 0.8118000000000001, 0.8119000000000001, 0.812, 0.8121, 0.8122, 0.8123, 0.8124, 0.8125, 0.8126, 0.8127, 0.8128, 0.8129, 0.813, 0.8130999999999999, 0.8132, 0.8133, 0.8134, 0.8135, 0.8136, 0.8137000000000001, 0.8138000000000001, 0.8139000000000001, 0.8140000000000001, 0.8141, 0.8142, 0.8143, 0.8144, 0.8145, 0.8146, 0.8147, 0.8148, 0.8149, 0.815, 0.8150999999999999, 0.8152, 0.8153, 0.8154, 0.8155, 0.8156, 0.8157000000000001, 0.8158000000000001, 0.8159000000000001, 0.8160000000000001, 0.8161, 0.8162, 0.8163, 0.8164, 0.8165, 0.8166, 0.8167, 0.8168, 0.8169, 0.817, 0.8170999999999999, 0.8172, 0.8173, 0.8174, 0.8175, 0.8176, 0.8177000000000001, 0.8178000000000001, 0.8179000000000001, 0.8180000000000001, 0.8181, 0.8182, 0.8183, 0.8184, 0.8185, 0.8186, 0.8187, 0.8188, 0.8189, 0.819, 0.8190999999999999, 0.8192, 0.8193, 0.8194, 0.8195, 0.8196, 0.8197000000000001, 0.8198000000000001, 0.8199000000000001, 0.8200000000000001, 0.8201, 0.8202, 0.8203, 0.8204, 0.8205, 0.8206, 0.8207, 0.8208, 0.8209, 0.821, 0.8210999999999999, 0.8212, 0.8213, 0.8214, 0.8215, 0.8216, 0.8217000000000001, 0.8218000000000001, 0.8219000000000001, 0.8220000000000001, 0.8221, 0.8222, 0.8223, 0.8224, 0.8225, 0.8226, 0.8227, 0.8228, 0.8229, 0.823, 0.8230999999999999, 0.8232, 0.8233, 0.8234, 0.8235, 0.8236, 0.8237000000000001, 0.8238000000000001, 0.8239000000000001, 0.8240000000000001, 0.8241, 0.8242, 0.8243, 0.8244, 0.8245, 0.8246, 0.8247, 0.8248, 0.8249, 0.825, 0.8251, 0.8251999999999999, 0.8253, 0.8254, 0.8255, 0.8256, 0.8257, 0.8258000000000001, 0.8259000000000001, 0.8260000000000001, 0.8261000000000001, 0.8262, 0.8263, 0.8264, 0.8265, 0.8266, 0.8267, 0.8268, 0.8269, 0.827, 0.8271, 0.8271999999999999, 0.8273, 0.8274, 0.8275, 0.8276, 0.8277, 0.8278000000000001, 0.8279000000000001, 0.8280000000000001, 0.8281000000000001, 0.8282, 0.8283, 0.8284, 0.8285, 0.8286, 0.8287, 0.8288, 0.8289, 0.829, 0.8291, 0.8291999999999999, 0.8293, 0.8294, 0.8295, 0.8296, 0.8297, 0.8298000000000001, 0.8299000000000001, 0.8300000000000001, 0.8301000000000001, 0.8302, 0.8303, 0.8304, 0.8305, 0.8306, 0.8307, 0.8308, 0.8309, 0.831, 0.8311, 0.8311999999999999, 0.8313, 0.8314, 0.8315, 0.8316, 0.8317, 0.8318000000000001, 0.8319000000000001, 0.8320000000000001, 0.8321000000000001, 0.8322, 0.8323, 0.8324, 0.8325, 0.8326, 0.8327, 0.8328, 0.8329, 0.833, 0.8331, 0.8331999999999999, 0.8333, 0.8334, 0.8335, 0.8336, 0.8337, 0.8338000000000001, 0.8339000000000001, 0.8340000000000001, 0.8341000000000001, 0.8342, 0.8343, 0.8344, 0.8345, 0.8346, 0.8347, 0.8348, 0.8349, 0.835, 0.8351, 0.8351999999999999, 0.8353, 0.8354, 0.8355, 0.8356, 0.8357, 0.8358000000000001, 0.8359000000000001, 0.8360000000000001, 0.8361000000000001, 0.8362, 0.8363, 0.8364, 0.8365, 0.8366, 0.8367, 0.8368, 0.8369, 0.837, 0.8371, 0.8371999999999999, 0.8372999999999999, 0.8374, 0.8375, 0.8376, 0.8377, 0.8378, 0.8379000000000001, 0.8380000000000001, 0.8381000000000001, 0.8382000000000001, 0.8383, 0.8384, 0.8385, 0.8386, 0.8387, 0.8388, 0.8389, 0.839, 0.8391, 0.8392, 0.8392999999999999, 0.8394, 0.8395, 0.8396, 0.8397, 0.8398, 0.8399000000000001, 0.8400000000000001, 0.8401000000000001, 0.8402000000000001, 0.8403, 0.8404, 0.8405, 0.8406, 0.8407, 0.8408, 0.8409, 0.841, 0.8411, 0.8412, 0.8412999999999999, 0.8414, 0.8415, 0.8416, 0.8417, 0.8418, 0.8419000000000001, 0.8420000000000001, 0.8421000000000001, 0.8422000000000001, 0.8423, 0.8424, 0.8425, 0.8426, 0.8427, 0.8428, 0.8429, 0.843, 0.8431, 0.8432, 0.8432999999999999, 0.8434, 0.8435, 0.8436, 0.8437, 0.8438, 0.8439000000000001, 0.8440000000000001, 0.8441000000000001, 0.8442000000000001, 0.8443, 0.8444, 0.8445, 0.8446, 0.8447, 0.8448, 0.8449, 0.845, 0.8451, 0.8452, 0.8452999999999999, 0.8454, 0.8455, 0.8456, 0.8457, 0.8458, 0.8459000000000001, 0.8460000000000001, 0.8461000000000001, 0.8462000000000001, 0.8463, 0.8464, 0.8465, 0.8466, 0.8467, 0.8468, 0.8469, 0.847, 0.8471, 0.8472, 0.8472999999999999, 0.8474, 0.8475, 0.8476, 0.8477, 0.8478, 0.8479000000000001, 0.8480000000000001, 0.8481000000000001, 0.8482000000000001, 0.8483, 0.8484, 0.8485, 0.8486, 0.8487, 0.8488, 0.8489, 0.849, 0.8491, 0.8492, 0.8492999999999999, 0.8494, 0.8495, 0.8496, 0.8497, 0.8498, 0.8499000000000001, 0.8500000000000001, 0.8501000000000001, 0.8502000000000001, 0.8503000000000001, 0.8504, 0.8505, 0.8506, 0.8507, 0.8508, 0.8509, 0.851, 0.8511, 0.8512, 0.8513, 0.8513999999999999, 0.8515, 0.8516, 0.8517, 0.8518, 0.8519, 0.8520000000000001, 0.8521000000000001, 0.8522000000000001, 0.8523000000000001, 0.8524, 0.8525, 0.8526, 0.8527, 0.8528, 0.8529, 0.853, 0.8531, 0.8532, 0.8533, 0.8533999999999999, 0.8535, 0.8536, 0.8537, 0.8538, 0.8539, 0.8540000000000001, 0.8541000000000001, 0.8542000000000001, 0.8543000000000001, 0.8544, 0.8545, 0.8546, 0.8547, 0.8548, 0.8549, 0.855, 0.8551, 0.8552, 0.8553, 0.8553999999999999, 0.8555, 0.8556, 0.8557, 0.8558, 0.8559, 0.8560000000000001, 0.8561000000000001, 0.8562000000000001, 0.8563000000000001, 0.8564, 0.8565, 0.8566, 0.8567, 0.8568, 0.8569, 0.857, 0.8571, 0.8572, 0.8573, 0.8573999999999999, 0.8575, 0.8576, 0.8577, 0.8578, 0.8579, 0.8580000000000001, 0.8581000000000001, 0.8582000000000001, 0.8583000000000001, 0.8584, 0.8585, 0.8586, 0.8587, 0.8588, 0.8589, 0.859, 0.8591, 0.8592, 0.8593, 0.8593999999999999, 0.8595, 0.8596, 0.8597, 0.8598, 0.8599, 0.8600000000000001, 0.8601000000000001, 0.8602000000000001, 0.8603000000000001, 0.8604, 0.8605, 0.8606, 0.8607, 0.8608, 0.8609, 0.861, 0.8611, 0.8612, 0.8613, 0.8613999999999999, 0.8615, 0.8616, 0.8617, 0.8618, 0.8619, 0.8620000000000001, 0.8621000000000001, 0.8622000000000001, 0.8623000000000001, 0.8624, 0.8625, 0.8626, 0.8627, 0.8628, 0.8629, 0.863, 0.8631, 0.8632, 0.8633, 0.8634, 0.8634999999999999, 0.8636, 0.8637, 0.8638, 0.8639, 0.864, 0.8641000000000001, 0.8642000000000001, 0.8643000000000001, 0.8644000000000001, 0.8645, 0.8646, 0.8647, 0.8648, 0.8649, 0.865, 0.8651, 0.8652, 0.8653, 0.8654, 0.8654999999999999, 0.8656, 0.8657, 0.8658, 0.8659, 0.866, 0.8661000000000001, 0.8662000000000001, 0.8663000000000001, 0.8664000000000001, 0.8665, 0.8666, 0.8667, 0.8668, 0.8669, 0.867, 0.8671, 0.8672, 0.8673, 0.8674, 0.8674999999999999, 0.8676, 0.8677, 0.8678, 0.8679, 0.868, 0.8681000000000001, 0.8682000000000001, 0.8683000000000001, 0.8684000000000001, 0.8685, 0.8686, 0.8687, 0.8688, 0.8689, 0.869, 0.8691, 0.8692, 0.8693, 0.8694, 0.8694999999999999, 0.8696, 0.8697, 0.8698, 0.8699, 0.87, 0.8701000000000001, 0.8702000000000001, 0.8703000000000001, 0.8704000000000001, 0.8705, 0.8706, 0.8707, 0.8708, 0.8709, 0.871, 0.8711, 0.8712, 0.8713, 0.8714, 0.8714999999999999, 0.8716, 0.8717, 0.8718, 0.8719, 0.872, 0.8721000000000001, 0.8722000000000001, 0.8723000000000001, 0.8724000000000001, 0.8725, 0.8726, 0.8727, 0.8728, 0.8729, 0.873, 0.8731, 0.8732, 0.8733, 0.8734, 0.8734999999999999, 0.8736, 0.8737, 0.8738, 0.8739, 0.874, 0.8741000000000001, 0.8742000000000001, 0.8743000000000001, 0.8744000000000001, 0.8745, 0.8746, 0.8747, 0.8748, 0.8749, 0.875, 0.8751, 0.8752, 0.8753, 0.8754, 0.8755, 0.8756, 0.8757, 0.8758, 0.8759, 0.876, 0.8761000000000001, 0.8762000000000001, 0.8763000000000001, 0.8764000000000001, 0.8765000000000001, 0.8766, 0.8767, 0.8768, 0.8769, 0.877, 0.8771, 0.8772, 0.8773, 0.8774, 0.8775, 0.8775999999999999, 0.8777, 0.8778, 0.8779, 0.878, 0.8781, 0.8782000000000001, 0.8783000000000001, 0.8784000000000001, 0.8785000000000001, 0.8786, 0.8787, 0.8788, 0.8789, 0.879, 0.8791, 0.8792, 0.8793, 0.8794, 0.8795, 0.8795999999999999, 0.8797, 0.8798, 0.8799, 0.88, 0.8801, 0.8802000000000001, 0.8803000000000001, 0.8804000000000001, 0.8805000000000001, 0.8806, 0.8807, 0.8808, 0.8809, 0.881, 0.8811, 0.8812, 0.8813, 0.8814, 0.8815, 0.8815999999999999, 0.8817, 0.8818, 0.8819, 0.882, 0.8821, 0.8822000000000001, 0.8823000000000001, 0.8824000000000001, 0.8825000000000001, 0.8826, 0.8827, 0.8828, 0.8829, 0.883, 0.8831, 0.8832, 0.8833, 0.8834, 0.8835, 0.8835999999999999, 0.8837, 0.8838, 0.8839, 0.884, 0.8841, 0.8842000000000001, 0.8843000000000001, 0.8844000000000001, 0.8845000000000001, 0.8846, 0.8847, 0.8848, 0.8849, 0.885, 0.8851, 0.8852, 0.8853, 0.8854, 0.8855, 0.8855999999999999, 0.8857, 0.8858, 0.8859, 0.886, 0.8861, 0.8862000000000001, 0.8863000000000001, 0.8864000000000001, 0.8865000000000001, 0.8866, 0.8867, 0.8868, 0.8869, 0.887, 0.8871, 0.8872, 0.8873, 0.8874, 0.8875, 0.8876, 0.8877, 0.8878, 0.8879, 0.888, 0.8881, 0.8882000000000001, 0.8883000000000001, 0.8884000000000001, 0.8885000000000001, 0.8886000000000001, 0.8887, 0.8888, 0.8889, 0.889, 0.8891, 0.8892, 0.8893, 0.8894, 0.8895, 0.8896, 0.8897, 0.8898, 0.8899, 0.89, 0.8901, 0.8902, 0.8903000000000001, 0.8904000000000001, 0.8905000000000001, 0.8906000000000001, 0.8907, 0.8908, 0.8909, 0.891, 0.8911, 0.8912, 0.8913, 0.8914, 0.8915, 0.8916, 0.8916999999999999, 0.8918, 0.8919, 0.892, 0.8921, 0.8922, 0.8923000000000001, 0.8924000000000001, 0.8925000000000001, 0.8926000000000001, 0.8927, 0.8928, 0.8929, 0.893, 0.8931, 0.8932, 0.8933, 0.8934, 0.8935, 0.8936, 0.8936999999999999, 0.8938, 0.8939, 0.894, 0.8941, 0.8942, 0.8943000000000001, 0.8944000000000001, 0.8945000000000001, 0.8946000000000001, 0.8947, 0.8948, 0.8949, 0.895, 0.8951, 0.8952, 0.8953, 0.8954, 0.8955, 0.8956, 0.8956999999999999, 0.8958, 0.8959, 0.896, 0.8961, 0.8962, 0.8963000000000001, 0.8964000000000001, 0.8965000000000001, 0.8966000000000001, 0.8967, 0.8968, 0.8969, 0.897, 0.8971, 0.8972, 0.8973, 0.8974, 0.8975, 0.8976, 0.8976999999999999, 0.8978, 0.8979, 0.898, 0.8981, 0.8982, 0.8983000000000001, 0.8984000000000001, 0.8985000000000001, 0.8986000000000001, 0.8987, 0.8988, 0.8989, 0.899, 0.8991, 0.8992, 0.8993, 0.8994, 0.8995, 0.8996, 0.8996999999999999, 0.8998, 0.8999, 0.9, 0.9001, 0.9002, 0.9003000000000001, 0.9004000000000001, 0.9005000000000001, 0.9006000000000001, 0.9007000000000001, 0.9008, 0.9009, 0.901, 0.9011, 0.9012, 0.9013, 0.9014, 0.9015, 0.9016, 0.9017, 0.9018, 0.9019, 0.902, 0.9021, 0.9022, 0.9023000000000001, 0.9024000000000001, 0.9025000000000001, 0.9026000000000001, 0.9027000000000001, 0.9028, 0.9029, 0.903, 0.9031, 0.9032, 0.9033, 0.9034, 0.9035, 0.9036, 0.9037, 0.9037999999999999, 0.9039, 0.904, 0.9041, 0.9042, 0.9043, 0.9044000000000001, 0.9045000000000001, 0.9046000000000001, 0.9047000000000001, 0.9048, 0.9049, 0.905, 0.9051, 0.9052, 0.9053, 0.9054, 0.9055, 0.9056, 0.9057, 0.9057999999999999, 0.9059, 0.906, 0.9061, 0.9062, 0.9063, 0.9064000000000001, 0.9065000000000001, 0.9066000000000001, 0.9067000000000001, 0.9068, 0.9069, 0.907, 0.9071, 0.9072, 0.9073, 0.9074, 0.9075, 0.9076, 0.9077, 0.9077999999999999, 0.9079, 0.908, 0.9081, 0.9082, 0.9083, 0.9084000000000001, 0.9085000000000001, 0.9086000000000001, 0.9087000000000001, 0.9088, 0.9089, 0.909, 0.9091, 0.9092, 0.9093, 0.9094, 0.9095, 0.9096, 0.9097, 0.9097999999999999, 0.9099, 0.91, 0.9101, 0.9102, 0.9103, 0.9104000000000001, 0.9105000000000001, 0.9106000000000001, 0.9107000000000001, 0.9108, 0.9109, 0.911, 0.9111, 0.9112, 0.9113, 0.9114, 0.9115, 0.9116, 0.9117, 0.9117999999999999, 0.9119, 0.912, 0.9121, 0.9122, 0.9123, 0.9124000000000001, 0.9125000000000001, 0.9126000000000001, 0.9127000000000001, 0.9128000000000001, 0.9129, 0.913, 0.9131, 0.9132, 0.9133, 0.9134, 0.9135, 0.9136, 0.9137, 0.9138, 0.9139, 0.914, 0.9141, 0.9142, 0.9143, 0.9144000000000001, 0.9145000000000001, 0.9146000000000001, 0.9147000000000001, 0.9148000000000001, 0.9149, 0.915, 0.9151, 0.9152, 0.9153, 0.9154, 0.9155, 0.9156, 0.9157, 0.9158, 0.9159, 0.916, 0.9161, 0.9162, 0.9163, 0.9164, 0.9165000000000001, 0.9166000000000001, 0.9167000000000001, 0.9168000000000001, 0.9169, 0.917, 0.9171, 0.9172, 0.9173, 0.9174, 0.9175, 0.9176, 0.9177, 0.9178, 0.9178999999999999, 0.918, 0.9181, 0.9182, 0.9183, 0.9184, 0.9185000000000001, 0.9186000000000001, 0.9187000000000001, 0.9188000000000001, 0.9189, 0.919, 0.9191, 0.9192, 0.9193, 0.9194, 0.9195, 0.9196, 0.9197, 0.9198, 0.9198999999999999, 0.92, 0.9201, 0.9202, 0.9203, 0.9204, 0.9205000000000001, 0.9206000000000001, 0.9207000000000001, 0.9208000000000001, 0.9209, 0.921, 0.9211, 0.9212, 0.9213, 0.9214, 0.9215, 0.9216, 0.9217, 0.9218, 0.9218999999999999, 0.922, 0.9221, 0.9222, 0.9223, 0.9224, 0.9225000000000001, 0.9226000000000001, 0.9227000000000001, 0.9228000000000001, 0.9229, 0.923, 0.9231, 0.9232, 0.9233, 0.9234, 0.9235, 0.9236, 0.9237, 0.9238, 0.9238999999999999, 0.924, 0.9241, 0.9242, 0.9243, 0.9244, 0.9245000000000001, 0.9246000000000001, 0.9247000000000001, 0.9248000000000001, 0.9249, 0.925, 0.9251, 0.9252, 0.9253, 0.9254, 0.9255, 0.9256, 0.9257, 0.9258, 0.9259, 0.926, 0.9261, 0.9262, 0.9263, 0.9264, 0.9265000000000001, 0.9266000000000001, 0.9267000000000001, 0.9268000000000001, 0.9269000000000001, 0.927, 0.9271, 0.9272, 0.9273, 0.9274, 0.9275, 0.9276, 0.9277, 0.9278, 0.9279, 0.928, 0.9281, 0.9282, 0.9283, 0.9284, 0.9285000000000001, 0.9286000000000001, 0.9287000000000001, 0.9288000000000001, 0.9289000000000001, 0.929, 0.9291, 0.9292, 0.9293, 0.9294, 0.9295, 0.9296, 0.9297, 0.9298, 0.9299, 0.9299999999999999, 0.9301, 0.9302, 0.9303, 0.9304, 0.9305, 0.9306000000000001, 0.9307000000000001, 0.9308000000000001, 0.9309000000000001, 0.931, 0.9311, 0.9312, 0.9313, 0.9314, 0.9315, 0.9316, 0.9317, 0.9318, 0.9319, 0.9319999999999999, 0.9321, 0.9322, 0.9323, 0.9324, 0.9325, 0.9326000000000001, 0.9327000000000001, 0.9328000000000001, 0.9329000000000001, 0.933, 0.9331, 0.9332, 0.9333, 0.9334, 0.9335, 0.9336, 0.9337, 0.9338, 0.9339, 0.9339999999999999, 0.9341, 0.9342, 0.9343, 0.9344, 0.9345, 0.9346000000000001, 0.9347000000000001, 0.9348000000000001, 0.9349000000000001, 0.935, 0.9351, 0.9352, 0.9353, 0.9354, 0.9355, 0.9356, 0.9357, 0.9358, 0.9359, 0.9359999999999999, 0.9361, 0.9362, 0.9363, 0.9364, 0.9365, 0.9366000000000001, 0.9367000000000001, 0.9368000000000001, 0.9369000000000001, 0.937, 0.9371, 0.9372, 0.9373, 0.9374, 0.9375, 0.9376, 0.9377, 0.9378, 0.9379, 0.938, 0.9381, 0.9382, 0.9383, 0.9384, 0.9385, 0.9386000000000001, 0.9387000000000001, 0.9388000000000001, 0.9389000000000001, 0.9390000000000001, 0.9391, 0.9392, 0.9393, 0.9394, 0.9395, 0.9396, 0.9397, 0.9398, 0.9399, 0.94, 0.9401, 0.9402, 0.9403, 0.9404, 0.9405, 0.9406000000000001, 0.9407000000000001, 0.9408000000000001, 0.9409000000000001, 0.9410000000000001, 0.9411, 0.9412, 0.9413, 0.9414, 0.9415, 0.9416, 0.9417, 0.9418, 0.9419, 0.942, 0.9421, 0.9422, 0.9423, 0.9424, 0.9425, 0.9426000000000001, 0.9427000000000001, 0.9428000000000001, 0.9429000000000001, 0.9430000000000001, 0.9431, 0.9432, 0.9433, 0.9434, 0.9435, 0.9436, 0.9437, 0.9438, 0.9439, 0.944, 0.9440999999999999, 0.9442, 0.9443, 0.9444, 0.9445, 0.9446, 0.9447000000000001, 0.9448000000000001, 0.9449000000000001, 0.9450000000000001, 0.9451, 0.9452, 0.9453, 0.9454, 0.9455, 0.9456, 0.9457, 0.9458, 0.9459, 0.946, 0.9460999999999999, 0.9462, 0.9463, 0.9464, 0.9465, 0.9466, 0.9467000000000001, 0.9468000000000001, 0.9469000000000001, 0.9470000000000001, 0.9471, 0.9472, 0.9473, 0.9474, 0.9475, 0.9476, 0.9477, 0.9478, 0.9479, 0.948, 0.9480999999999999, 0.9482, 0.9483, 0.9484, 0.9485, 0.9486, 0.9487000000000001, 0.9488000000000001, 0.9489000000000001, 0.9490000000000001, 0.9491, 0.9492, 0.9493, 0.9494, 0.9495, 0.9496, 0.9497, 0.9498, 0.9499, 0.95, 0.9501, 0.9502, 0.9503, 0.9504, 0.9505, 0.9506, 0.9507000000000001, 0.9508000000000001, 0.9509000000000001, 0.9510000000000001, 0.9511000000000001, 0.9512, 0.9513, 0.9514, 0.9515, 0.9516, 0.9517, 0.9518, 0.9519, 0.952, 0.9521, 0.9522, 0.9523, 0.9524, 0.9525, 0.9526, 0.9527000000000001, 0.9528000000000001, 0.9529000000000001, 0.9530000000000001, 0.9531000000000001, 0.9532, 0.9533, 0.9534, 0.9535, 0.9536, 0.9537, 0.9538, 0.9539, 0.954, 0.9541, 0.9542, 0.9543, 0.9544, 0.9545, 0.9546, 0.9547000000000001, 0.9548000000000001, 0.9549000000000001, 0.9550000000000001, 0.9551000000000001, 0.9552, 0.9553, 0.9554, 0.9555, 0.9556, 0.9557, 0.9558, 0.9559, 0.956, 0.9561, 0.9561999999999999, 0.9563, 0.9564, 0.9565, 0.9566, 0.9567, 0.9568000000000001, 0.9569000000000001, 0.9570000000000001, 0.9571000000000001, 0.9572, 0.9573, 0.9574, 0.9575, 0.9576, 0.9577, 0.9578, 0.9579, 0.958, 0.9581, 0.9581999999999999, 0.9583, 0.9584, 0.9585, 0.9586, 0.9587, 0.9588000000000001, 0.9589000000000001, 0.9590000000000001, 0.9591000000000001, 0.9592, 0.9593, 0.9594, 0.9595, 0.9596, 0.9597, 0.9598, 0.9599, 0.96, 0.9601, 0.9601999999999999, 0.9603, 0.9604, 0.9605, 0.9606, 0.9607, 0.9608000000000001, 0.9609000000000001, 0.9610000000000001, 0.9611000000000001, 0.9612, 0.9613, 0.9614, 0.9615, 0.9616, 0.9617, 0.9618, 0.9619, 0.962, 0.9621, 0.9621999999999999, 0.9623, 0.9624, 0.9625, 0.9626, 0.9627, 0.9628000000000001, 0.9629000000000001, 0.9630000000000001, 0.9631000000000001, 0.9632000000000001, 0.9633, 0.9634, 0.9635, 0.9636, 0.9637, 0.9638, 0.9639, 0.964, 0.9641, 0.9642, 0.9643, 0.9644, 0.9645, 0.9646, 0.9647, 0.9648000000000001, 0.9649000000000001, 0.9650000000000001, 0.9651000000000001, 0.9652000000000001, 0.9653, 0.9654, 0.9655, 0.9656, 0.9657, 0.9658, 0.9659, 0.966, 0.9661, 0.9662, 0.9663, 0.9664, 0.9665, 0.9666, 0.9667, 0.9668000000000001, 0.9669000000000001, 0.9670000000000001, 0.9671000000000001, 0.9672000000000001, 0.9673, 0.9674, 0.9675, 0.9676, 0.9677, 0.9678, 0.9679, 0.968, 0.9681, 0.9682, 0.9683, 0.9684, 0.9685, 0.9686, 0.9687, 0.9688000000000001, 0.9689000000000001, 0.9690000000000001, 0.9691000000000001, 0.9692000000000001, 0.9693, 0.9694, 0.9695, 0.9696, 0.9697, 0.9698, 0.9699, 0.97, 0.9701, 0.9702, 0.9702999999999999, 0.9704, 0.9705, 0.9706, 0.9707, 0.9708, 0.9709000000000001, 0.9710000000000001, 0.9711000000000001, 0.9712000000000001, 0.9713, 0.9714, 0.9715, 0.9716, 0.9717, 0.9718, 0.9719, 0.972, 0.9721, 0.9722, 0.9722999999999999, 0.9724, 0.9725, 0.9726, 0.9727, 0.9728, 0.9729000000000001, 0.9730000000000001, 0.9731000000000001, 0.9732000000000001, 0.9733, 0.9734, 0.9735, 0.9736, 0.9737, 0.9738, 0.9739, 0.974, 0.9741, 0.9742, 0.9742999999999999, 0.9744, 0.9745, 0.9746, 0.9747, 0.9748, 0.9749000000000001, 0.9750000000000001, 0.9751000000000001, 0.9752000000000001, 0.9753000000000001, 0.9754, 0.9755, 0.9756, 0.9757, 0.9758, 0.9759, 0.976, 0.9761, 0.9762, 0.9763, 0.9764, 0.9765, 0.9766, 0.9767, 0.9768, 0.9769000000000001, 0.9770000000000001, 0.9771000000000001, 0.9772000000000001, 0.9773000000000001, 0.9774, 0.9775, 0.9776, 0.9777, 0.9778, 0.9779, 0.978, 0.9781, 0.9782, 0.9783, 0.9784, 0.9785, 0.9786, 0.9787, 0.9788, 0.9789000000000001, 0.9790000000000001, 0.9791000000000001, 0.9792000000000001, 0.9793000000000001, 0.9794, 0.9795, 0.9796, 0.9797, 0.9798, 0.9799, 0.98, 0.9801, 0.9802, 0.9803, 0.9804, 0.9805, 0.9806, 0.9807, 0.9808, 0.9809000000000001, 0.9810000000000001, 0.9811000000000001, 0.9812000000000001, 0.9813000000000001, 0.9814, 0.9815, 0.9816, 0.9817, 0.9818, 0.9819, 0.982, 0.9821, 0.9822, 0.9823, 0.9823999999999999, 0.9825, 0.9826, 0.9827, 0.9828, 0.9829, 0.9830000000000001, 0.9831000000000001, 0.9832000000000001, 0.9833000000000001, 0.9834, 0.9835, 0.9836, 0.9837, 0.9838, 0.9839, 0.984, 0.9841, 0.9842, 0.9843, 0.9843999999999999, 0.9845, 0.9846, 0.9847, 0.9848, 0.9849, 0.9850000000000001, 0.9851000000000001, 0.9852000000000001, 0.9853000000000001, 0.9854, 0.9855, 0.9856, 0.9857, 0.9858, 0.9859, 0.986, 0.9861, 0.9862, 0.9863, 0.9863999999999999, 0.9865, 0.9866, 0.9867, 0.9868, 0.9869, 0.9870000000000001, 0.9871000000000001, 0.9872000000000001, 0.9873000000000001, 0.9874, 0.9875, 0.9876, 0.9877, 0.9878, 0.9879, 0.988, 0.9881, 0.9882, 0.9883, 0.9884, 0.9885, 0.9886, 0.9887, 0.9888, 0.9889, 0.9890000000000001, 0.9891000000000001, 0.9892000000000001, 0.9893000000000001, 0.9894000000000001, 0.9895, 0.9896, 0.9897, 0.9898, 0.9899, 0.99, 0.9901, 0.9902, 0.9903, 0.9904, 0.9905, 0.9906, 0.9907, 0.9908, 0.9909, 0.9910000000000001, 0.9911000000000001, 0.9912000000000001, 0.9913000000000001, 0.9914000000000001, 0.9915, 0.9916, 0.9917, 0.9918, 0.9919, 0.992, 0.9921, 0.9922, 0.9923, 0.9924, 0.9925, 0.9926, 0.9927, 0.9928, 0.9929, 0.9930000000000001, 0.9931000000000001, 0.9932000000000001, 0.9933000000000001, 0.9934000000000001, 0.9935, 0.9936, 0.9937, 0.9938, 0.9939, 0.994, 0.9941, 0.9942, 0.9943, 0.9944, 0.9945, 0.9946, 0.9947, 0.9948, 0.9949, 0.9950000000000001, 0.9951000000000001, 0.9952000000000001, 0.9953000000000001, 0.9954000000000001, 0.9955, 0.9956, 0.9957, 0.9958, 0.9959, 0.996, 0.9961, 0.9962, 0.9963, 0.9964, 0.9964999999999999, 0.9966, 0.9967, 0.9968, 0.9969, 0.997, 0.9971000000000001, 0.9972000000000001, 0.9973000000000001, 0.9974000000000001, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9984999999999999, 0.9986, 0.9987, 0.9988, 0.9989, 0.999, 0.9991000000000001, 0.9992000000000001, 0.9993000000000001, 0.9994000000000001, 0.9995, 0.9996, 0.9997, 0.9998, 0.9999, 1.0], \\\"y\\\": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 0.9887876870279563, 0.9887807197897772, 0.9887737525515983, 0.9885702096325503, 0.9885708643168817, 0.988563666376052, 0.9885540735174334, 0.9885485209220138, 0.9885390407127028, 0.9885295605033917, 0.9885200802940808, 0.9885105952000026, 0.988501010498879, 0.9885004303790553, 0.988490861992921, 0.9884745547403246, 0.9884656199829344, 0.988456685225544, 0.9884477504681538, 0.9884388157107635, 0.9884334240820041, 0.9884245756660146, 0.9884194430614578, 0.9884119336421928, 0.9883944289520274, 0.9883873153342955, 0.9883828033604314, 0.9883810207739282, 0.988374034899689, 0.9883697784128108, 0.9883656070882612, 0.9883671500254188, 0.9883603770570011, 0.9883565038006015, 0.9883527157065303, 0.9883490127747877, 0.9883514499163955, 0.9883449324349636, 0.9883379756468932, 0.9883369737087746, 0.9883330463247918, 0.988325153171537, 0.988320581292429, 0.9882566329856436, 0.9882484751152147, 0.9882504485043707, 0.9882461967721413, 0.9882385679533835, 0.9882328260722665, 0.988151046759179, 0.9881429902770011, 0.9881329807257235, 0.9881229711744459, 0.9881218320029092, 0.9881189381566495, 0.988109391525584, 0.9879762848490646, 0.9879755792239737, 0.9879745040127776, 0.9879697863996149, 0.9879680644127351, 0.9879628848169412, 0.9879575204280947, 0.9879519712461957, 0.987949048104475, 0.9879511922500582, 0.9879447191028969, 0.9879355275190311, 0.9879287771822913, 0.9879194932018993, 0.9879169785837272, 0.9879117455288504, 0.9879061428878688, 0.9879001706607823, 0.9878919419796225, 0.9878845214524715, 0.9878910011561015, 0.9878835227720304, 0.9878730519331216, 0.9878652909495704, 0.9878574642427058, 0.9878469276804833, 0.9878416136590356, 0.9878361681909604, 0.9878255001821108, 0.9878148321732609, 0.9878041641644113, 0.9877934961555617, 0.987782828146712, 0.9877721601378624, 0.9877638405061454, 0.9877531396356389, 0.9877424387651325, 0.9877317662181974, 0.987721296495999, 0.9877108267738008, 0.9877003570516025, 0.9876898873294042, 0.987679417607206, 0.9876689478850077, 0.9876584781628095, 0.9876480084406112, 0.9876394084093301, 0.9876288965795428, 0.9876183847497553, 0.9876096162881176, 0.9875988494950438, 0.9875877475816766, 0.9875766456683093, 0.9875688550899779, 0.9875577166115184, 0.987546578133059, 0.9875354396545994, 0.9875243011761401, 0.9875131626976805, 0.9875020242192212, 0.9874908857407618, 0.9874797472623023, 0.9874686087838429, 0.9874574703053833, 0.987446331826924, 0.9874351933484645, 0.9874240548700051, 0.9874129163915455, 0.9874017779130861, 0.9873906394346268, 0.9873795009561672, 0.9873683624777079, 0.9873572239992483, 0.987346085520789, 0.9873349470423295, 0.9873238085638701, 0.9873133729578416, 0.9873029614665638, 0.9872925499752857, 0.9872821384840077, 0.9872717269927297, 0.9872613155014516, 0.9872509040101736, 0.9872404925188956, 0.9872307143515715, 0.9872219454216511, 0.9872131764917309, 0.9872044075618107, 0.9871956386318903, 0.9871868697019701, 0.9871772688179045, 0.9871673479402362, 0.987157427062568, 0.9871475061848999, 0.9871375853072315, 0.9871264760395533, 0.9871133046844807, 0.987100133329408, 0.9870869619743354, 0.9870741257475893, 0.9870635559423525, 0.9870529861371158, 0.9870416547595144, 0.9870295398923316, 0.9870174250251488, 0.9870053101579661, 0.9869931952907833, 0.9869810804236006, 0.9869689655564178, 0.986956850689235, 0.9869447358220522, 0.9869326209548696, 0.9869205060876868, 0.9869083912205041, 0.9868962763533213, 0.9868841614861386, 0.9868720466189558, 0.986859931751773, 0.9868478168845902, 0.9868357020174074, 0.9868235871502248, 0.986811472283042, 0.9867993574158592, 0.9867874248019347, 0.9867758156910957, 0.9867642065802567, 0.9867525974694178, 0.9867409883585789, 0.9867293792477398, 0.986717770136901, 0.9867061610260621, 0.986694551915223, 0.9866829428043842, 0.9866711288236557, 0.9866575752298681, 0.9866441693218587, 0.9866310876350889, 0.9866180007180979, 0.986604913801107, 0.9865918268841161, 0.9865787399671249, 0.9865656530501341, 0.9865525661331431, 0.9865390312101672, 0.9865247244291665, 0.9865104176481658, 0.9864961108671653, 0.9864818040861646, 0.9864674973051639, 0.9864531905241634, 0.9864388837431626, 0.986424576962162, 0.9864087786275356, 0.9863919298965171, 0.9863750811654987, 0.9863582324344803, 0.986342916078401, 0.9863285177142487, 0.9863141193500964, 0.986299720985944, 0.9862853226217917, 0.9862709242576394, 0.9862565258934871, 0.9862421275293349, 0.9862277291651826, 0.9862133308010304, 0.9861989324368781, 0.9861845340727258, 0.9861701357085735, 0.9861557373444212, 0.9861428860238501, 0.9861321824872917, 0.9861235799558188, 0.9861149774243457, 0.9861063748928727, 0.9860953224679998, 0.9860838596907237, 0.9860739631524403, 0.9860631304117196, 0.9860518152115769, 0.9860405000114345, 0.9860291848112921, 0.9860178696111495, 0.986006554411007, 0.9859952392108645, 0.985983924010722, 0.9859719306201136, 0.9859591705787133, 0.9859464105373131, 0.9859336504959131, 0.9859208904545129, 0.9859081304131128, 0.9858953703717126, 0.9858832934882827, 0.9858725156623449, 0.9858572987472956, 0.9858432945948028, 0.9858299805071518, 0.9858138026003368, 0.9857976246935216, 0.9857814467867065, 0.9857652688798915, 0.9857490909730764, 0.9857329130662613, 0.9857167351594462, 0.9857005572526312, 0.985684379345816, 0.9856681195138843, 0.985651506072845, 0.9856348926318056, 0.9856163230347987, 0.9855959479951375, 0.9855755729554765, 0.985559147999078, 0.9855420729634679, 0.9855237448010357, 0.9855059079016392, 0.9854896115352922, 0.9854733151689452, 0.9854570188025984, 0.9854407224362516, 0.9854244260699045, 0.9854081297035577, 0.9853924843424108, 0.9853772641634653, 0.9853620439845197, 0.9853468238055743, 0.9853314663523092, 0.9853189236367932, 0.9853054453846923, 0.985288350335314, 0.9852712552859357, 0.9852541602365573, 0.9852369679133239, 0.9852197208977259, 0.985202473882128, 0.98518522686653, 0.9851679798509321, 0.985150732835334, 0.9851345329086376, 0.9851188150588703, 0.9851030972091032, 0.9850874065542372, 0.9850719612936102, 0.985056516032983, 0.985041070772356, 0.985025625511729, 0.9850101802511019, 0.984994734990475, 0.9849792897298479, 0.9849638444692208, 0.9849483992085937, 0.984929430700885, 0.984909797335804, 0.9848908380179957, 0.9848740961254742, 0.9848606332704681, 0.9848471704154622, 0.9848337075604563, 0.9848202447054503, 0.9848067818504442, 0.9847933189954383, 0.9847798561404324, 0.9847663932854264, 0.9847550781443534, 0.9847438605250454, 0.9847296654624439, 0.9847147426470881, 0.984697471255717, 0.984680199864346, 0.9846629284729749, 0.9846456570816038, 0.9846283856902327, 0.9846111142988615, 0.9845938429074904, 0.9845765715161193, 0.9845640107342369, 0.9845535109590915, 0.9845430111839462, 0.9845297695591984, 0.9845130886658036, 0.984496407772409, 0.9844797268790142, 0.9844626049658738, 0.9844454293939728, 0.9844282538220718, 0.9844117597648399, 0.9843957150219351, 0.9843843064602942, 0.9843765586945115, 0.9843688109287285, 0.9843610631629457, 0.984351576208542, 0.9843391485889554, 0.9843170343406988, 0.9842945869033325, 0.9842768545164335, 0.9842603781742795, 0.9842439018321254, 0.9842274254899712, 0.984210949147817, 0.984194472805663, 0.9841791649022448, 0.9841646110585025, 0.9841499062510457, 0.9841356534714992, 0.984121635364231, 0.9841076172569627, 0.9840935991496944, 0.9840795810424261, 0.9840546662706808, 0.9840230275499913, 0.984011690827627, 0.9840007778783812, 0.9839910864391385, 0.9839814065112118, 0.9839717265832851, 0.983959412347883, 0.9839465884625894, 0.9839325335990663, 0.9839182898921047, 0.9839038663062429, 0.9838894427203813, 0.9838750191345195, 0.9838627926329582, 0.9838514256872691, 0.9838422486323952, 0.9838324366866218, 0.9838184376406299, 0.9838038689875186, 0.9837893003344074, 0.9837737009292025, 0.9837560314142297, 0.9837370853183217, 0.9837171918506621, 0.9836970718566599, 0.9836769518626576, 0.9836568318686555, 0.9836372086054579, 0.983620990655119, 0.9836066647581923, 0.9835919205394793, 0.9835721469285101, 0.9835523733175406, 0.9835325997065713, 0.9835133017431088, 0.9834937638048278, 0.9834684345969782, 0.983441762625617, 0.9834154481529618, 0.9833980483120692, 0.9833805634002482, 0.9833630784884272, 0.9833500422689393, 0.983337310361768, 0.9833245784545968, 0.9833115689706797, 0.9832955873136846, 0.9832823787197156, 0.9832667367872407, 0.9832467393424942, 0.9832333015947905, 0.9832113187476555, 0.9831971976507791, 0.9831848002921703, 0.9831717345500549, 0.9831587911230786, 0.9831484223997409, 0.9831367994292177, 0.9831232668573183, 0.9831153535929162, 0.983102995653268, 0.9830863213673235, 0.9830706035338437, 0.9830602352799009, 0.9830540643568267, 0.9830424670519694, 0.9830256989612118, 0.9830036169311492, 0.9829831620588113, 0.9829674495333391, 0.9829517370078671, 0.9829356709904538, 0.9829195301903851, 0.9829031540756514, 0.9828882438112712, 0.9828762001884994, 0.9828641568989656, 0.9828521136094317, 0.9828376847767326, 0.9828185243035413, 0.9827920885805828, 0.9827701358143968, 0.9827481830482108, 0.9827272578195942, 0.9827078681814183, 0.9826833317183011, 0.9826700015924652, 0.9826583181971411, 0.9826480362697977, 0.9826377543424544, 0.9826140307065216, 0.9825922669857161, 0.9825726468820251, 0.9825512873082749, 0.9825300932868644, 0.9825095508686786, 0.9824892510701169, 0.9824700523036953, 0.9824523155473914, 0.9824336403109624, 0.9824121892745739, 0.9823883633103145, 0.9823646034462978, 0.9823431121783363, 0.9823236626148069, 0.9823042130512775, 0.9822873170092714, 0.9822760882224353, 0.9822670864956637, 0.9822566013198127, 0.982239242374, 0.982216778567665, 0.9822018536195388, 0.9821857526704392, 0.9821689601211712, 0.9821572661779983, 0.9821459358509205, 0.9821244818806909, 0.9820907749100618, 0.9820712622848244, 0.9820590737413554, 0.982046260807619, 0.9820334478738827, 0.9820210841977599, 0.9820105301778665, 0.9819978764623833, 0.9819850714658627, 0.9819715067057968, 0.9819514595349574, 0.9819311446626287, 0.9819117050264733, 0.981893868110252, 0.981877858548899, 0.9818637451296555, 0.9818494646406735, 0.9818329054118069, 0.9818137096645352, 0.9817888938525136, 0.9817650218963664, 0.9817428049390031, 0.9817238549849682, 0.9817073991159726, 0.9816909432469768, 0.981676491760693, 0.9816652135602437, 0.9816522861408499, 0.9816336393608274, 0.9816116538022269, 0.9815863347069942, 0.9815608998414701, 0.981547216992606, 0.9815378332083038, 0.9815292647294218, 0.9815187414447744, 0.9815032605527099, 0.9814847132768911, 0.9814739637904477, 0.9814549573355087, 0.981423617496402, 0.9813937847528407, 0.9813677828338401, 0.9813434542117985, 0.9813218102142521, 0.9812986495534914, 0.9812762400188666, 0.9812544472961984, 0.9812328389538343, 0.9812121634215447, 0.9811942676920588, 0.9811709497445309, 0.9811461360576166, 0.9811234263831139, 0.9811022147260495, 0.9810790145767214, 0.981057354827563, 0.9810377913756185, 0.9810202291051118, 0.980999762365639, 0.9809782288972364, 0.9809561747312143, 0.9809322124426588, 0.9809075998689502, 0.9808832169707039, 0.9808613222088773, 0.9808449438294613, 0.9808199807452951, 0.9807947075389292, 0.9807752498057098, 0.9807558880981639, 0.9807387055413547, 0.9807221675993767, 0.9806970384816843, 0.9806790470886677, 0.9806635631736461, 0.9806456034451878, 0.9806265126610775, 0.9806075734591947, 0.9805905032514726, 0.9805671447728141, 0.9805387458496133, 0.9805083005544633, 0.9804749272330975, 0.9804516664273877, 0.980435217410152, 0.9804168198286896, 0.9803954825797142, 0.9803718969155824, 0.9803516750880197, 0.9803360601630555, 0.9803208229239067, 0.9803058722165452, 0.9802874608188852, 0.9802704531533584, 0.9802582436691036, 0.9802307651904627, 0.9802150445320738, 0.980204960293295, 0.9801768981301615, 0.9801469024925564, 0.9801226465772168, 0.9801057903832506, 0.9800904912531849, 0.980075665889679, 0.9800554982355987, 0.9800401381861797, 0.9800238611385036, 0.9800080442353851, 0.9799954297625707, 0.9799768139374188, 0.9799590654395033, 0.9799482018648553, 0.9799243832091374, 0.9798931568043778, 0.9798673053216235, 0.9798448547569039, 0.9798259825581469, 0.9798084204711521, 0.9797884497357205, 0.9797613031222017, 0.9797350502242846, 0.979713888905316, 0.9796949965046515, 0.9796700503046369, 0.9796534830517548, 0.9796420699762074, 0.9796220631905665, 0.9795945322111643, 0.9795719777683325, 0.9795560291808113, 0.9795367123181711, 0.9795112239021693, 0.9794849388007216, 0.9794599116232134, 0.9794325093267524, 0.9794049020743675, 0.9793855444189753, 0.979358938554116, 0.9793261047822621, 0.9793072404648608, 0.9792909155030878, 0.9792785419654523, 0.9792558378824887, 0.9792315086917021, 0.9792028349722868, 0.9791779817373836, 0.979156641622198, 0.9791389018379008, 0.9791190116669801, 0.9790946775676361, 0.9790684527219582, 0.9790387900252095, 0.9790228496485122, 0.9790045553911636, 0.9789788042190968, 0.9789606909559521, 0.978945060914362, 0.9789256054988293, 0.9788987455901488, 0.978867590770798, 0.9788468297562216, 0.9788216406724053, 0.9787986852710738, 0.978785520937491, 0.9787627082133232, 0.9787463504075679, 0.9787259667192294, 0.978699725014245, 0.9786805370080369, 0.9786634744648028, 0.9786364178594802, 0.9786201824104739, 0.9786037072789928, 0.9785782424615094, 0.9785549993823296, 0.9785397958930794, 0.9785231988981661, 0.9785037449246945, 0.9784821008497285, 0.9784604431270365, 0.978433437404449, 0.9784171818327083, 0.9783931850812018, 0.9783623926857385, 0.978327645294943, 0.9782913468700778, 0.9782612307100795, 0.9782373102592984, 0.9782205510223594, 0.9781903766311114, 0.9781557862383667, 0.9781255665547453, 0.9781039573371031, 0.9780948596575936, 0.9780853860578407, 0.9780626928336631, 0.9780341783969083, 0.9780137298091878, 0.9779908332912698, 0.9779692495830711, 0.9779508790040892, 0.9779354197593834, 0.977900091901212, 0.9778750527008739, 0.977854163603973, 0.9778340903809541, 0.9778161488000349, 0.977798813761205, 0.9777800655264272, 0.9777545090155522, 0.9777366837465644, 0.9777175929361321, 0.9776991816477594, 0.9776754247537187, 0.9776602280920417, 0.9776387097590233, 0.9776017137561519, 0.9775458105137045, 0.9775210452049482, 0.9775029934289388, 0.9774507202985645, 0.9774168130469509, 0.9773921663448656, 0.9773671462799828, 0.9773280790487854, 0.9773000951128336, 0.9772682166927399, 0.9772453885144397, 0.9772299724884224, 0.9772022009587845, 0.9771741548324331, 0.9771463627668823, 0.977112312450507, 0.9770820430059463, 0.9770623507523104, 0.9770444021919931, 0.9770199563108473, 0.976988043799643, 0.9769632941302584, 0.9769365304659612, 0.976910815513016, 0.9768827400634805, 0.9768625334461198, 0.9768152817665778, 0.9767781432038422, 0.9767591976643173, 0.9767372759617492, 0.9767239643244547, 0.9766938381684471, 0.9766634987312686, 0.9766436755610413, 0.9766235629583678, 0.9765943887941633, 0.9765753382834174, 0.9765574299237785, 0.9765318501759572, 0.976505047917208, 0.9764793167383475, 0.976454342634582, 0.976428447259284, 0.9764081832700613, 0.9763876121818, 0.9763431318708796, 0.9763136869893976, 0.9762979972595256, 0.9762697329421708, 0.9762451827412512, 0.976221916117723, 0.97619432617158, 0.9761726227986729, 0.9761474072783904, 0.9761311199101979, 0.9761153948419236, 0.9760896960550387, 0.9760526619698686, 0.9760297658297475, 0.9760113489443822, 0.975994993548815, 0.9759766152222153, 0.9759534339221788, 0.975924451141349, 0.9758958281560719, 0.9758783152657746, 0.9758623208829289, 0.9758390753077607, 0.9758183337145385, 0.9757993435935438, 0.9757670984164272, 0.9757424903672993, 0.9757145887200105, 0.9756884953347691, 0.975665743767808, 0.9756416055025212, 0.9756133191314392, 0.9755947796945129, 0.9755819573347748, 0.975558204749337, 0.975515856052801, 0.9754846889406833, 0.9754660212814497, 0.9754442015574785, 0.9754109482352689, 0.9753820275289926, 0.9753635465228561, 0.9753451074680908, 0.9753215455838296, 0.9752889668918507, 0.9752560358762303, 0.9752257109714402, 0.9751980426830158, 0.975174409495903, 0.975154431831576, 0.9751175437904822, 0.9750679298623022, 0.975041248480174, 0.9750154862394863, 0.9749884066252084, 0.9749510728602984, 0.9749304883411296, 0.97491433289647, 0.9748926222584271, 0.9748708044097498, 0.9748362028761128, 0.974812483715848, 0.9747727017032878, 0.9747405877266208, 0.9747101697603998, 0.9746882240547984, 0.9746586024673809, 0.9746268122288055, 0.9746050640035717, 0.9745843014547206, 0.9745542537716352, 0.9745237796390203, 0.9744913840731415, 0.9744643144954039, 0.9744419140778471, 0.974415364588074, 0.9743731643105422, 0.974338582557249, 0.9743044024360812, 0.9742736394897972, 0.9742506533600646, 0.9742328097424734, 0.9742087982014369, 0.9741824845674849, 0.9741580141068895, 0.9741292964927265, 0.9741052588666691, 0.9740861384681984, 0.9740673548832878, 0.9740380336430363, 0.9740059050306236, 0.9739812138118089, 0.9739623182705155, 0.97393213510908, 0.9738915667736814, 0.9738454534713377, 0.9738080406372376, 0.9737742520162616, 0.9737379374255722, 0.9737150628884029, 0.9736931568333826, 0.9736603530238612, 0.9736256069600864, 0.9735985673812717, 0.9735791206699623, 0.973555866727588, 0.9735275439709712, 0.9735003125920905, 0.9734726080883699, 0.9734434194687214, 0.9734150725817652, 0.973389781896207, 0.9733483846524384, 0.9733060276295692, 0.9732733651998218, 0.9732502274781545, 0.9732099632689766, 0.9731772529197575, 0.9731479059731789, 0.9731151648637073, 0.973086899811944, 0.9730574786968398, 0.9730260339164113, 0.9730015534474138, 0.9729834253050014, 0.9729515583085688, 0.9729118716069811, 0.9728857675910219, 0.9728587549950015, 0.9728235404026715, 0.9727771731589052, 0.9727355782573304, 0.9726973557150398, 0.9726576100051971, 0.9726159477925114, 0.9725738102610848, 0.9725358675643514, 0.9725085336506555, 0.9724874393541469, 0.9724646260992644, 0.9724414748392715, 0.9724184860492029, 0.9723866972102266, 0.97235928894681, 0.9723276782027722, 0.9722940600140075, 0.9722609883356598, 0.9722389964722538, 0.9722130140128981, 0.972191430051921, 0.9721613092330521, 0.9721356552882118, 0.9721104459105938, 0.9720963161549219, 0.9720679071751157, 0.9720348210339931, 0.9720115224468892, 0.9719773571773974, 0.9719462268720057, 0.9719243266714319, 0.9718963701044597, 0.9718617470574762, 0.9718356098164274, 0.9718132510122339, 0.9717862718539647, 0.9717631083775279, 0.971732380659238, 0.9716900767690524, 0.9716698866451767, 0.9716403374449429, 0.9716187092301769, 0.9715969501934919, 0.9715803450634184, 0.971538619857121, 0.9715021932547321, 0.9714705530768857, 0.9714339262004309, 0.9714058142928899, 0.9713783375575762, 0.9713432519821052, 0.9712970394818555, 0.971258139329734, 0.9712295995579419, 0.9712023972174116, 0.9711601930874115, 0.9711162181100015, 0.9710838258044133, 0.9710411724471747, 0.9710034915764243, 0.9709688065245914, 0.9709514858706184, 0.9709184083166754, 0.9708713187962317, 0.970835596579621, 0.9707996262500141, 0.9707622611769416, 0.9707205006248576, 0.9706784370408594, 0.970656383149251, 0.9706193932477515, 0.9705834321303264, 0.9705446194372691, 0.970512411625357, 0.970478101365781, 0.9704494376170198, 0.9704119940605132, 0.9703780815648857, 0.9703378546259812, 0.9703031886505041, 0.9702760705000575, 0.9702485712361169, 0.9702203668115618, 0.9701894278488221, 0.9701558994747578, 0.9701086508633783, 0.9700838922131108, 0.9700589962842368, 0.9700186548894159, 0.9699833439278265, 0.9699469125945188, 0.9699048021855146, 0.9698609515882382, 0.9698064170737548, 0.9697555121902584, 0.969720939232352, 0.9696892857750333, 0.9696504505880545, 0.9695953949545701, 0.9695710129111568, 0.9695382167878486, 0.9695003611828414, 0.9694724237234877, 0.9694419870641064, 0.9693994625747755, 0.9693657268133424, 0.9693044734145373, 0.9692687830917335, 0.9692481496164831, 0.9692114621861054, 0.9691734929800098, 0.9691357305576227, 0.9690802940326381, 0.9690188896883041, 0.9689843668514919, 0.9689390846619914, 0.9688926350371634, 0.9688541062846859, 0.9688244086402751, 0.968787607558186, 0.9687443257961312, 0.9686993742391177, 0.9686616221284525, 0.968623255294567, 0.9685889392241693, 0.9685559450079912, 0.9685278969274362, 0.9684913383242106, 0.9684620759226321, 0.9684231736017803, 0.9683926623566592, 0.968352579278899, 0.9683187047108716, 0.968263730667322, 0.968226866727835, 0.9681915542981927, 0.9681633434557142, 0.9681225457611965, 0.9680827857292649, 0.9680481175503618, 0.9680126414519323, 0.9679780050350322, 0.9679343158281781, 0.9678938219816147, 0.9678515363804822, 0.96780618302952, 0.967769846658525, 0.9677341496114313, 0.9677012980378119, 0.9676638521400518, 0.967628239268115, 0.9675796774294378, 0.9675385229860323, 0.9674919680666678, 0.9674382736409173, 0.967390824926122, 0.9673544069775399, 0.9673113133278403, 0.9672747321538842, 0.9672058082426049, 0.967160483550064, 0.9671289961069237, 0.967096828780105, 0.9670541024817672, 0.9670159163285142, 0.9669733211207583, 0.9669387746259488, 0.9669016316023884, 0.9668611629167094, 0.966833047647383, 0.966776338314355, 0.9667468746839889, 0.9667162377503798, 0.9666828593121373, 0.9666478996741715, 0.9666072776115925, 0.9665665642967469, 0.966518578197948, 0.966481613518652, 0.9664488175837487, 0.9664111800014298, 0.9663783653037299, 0.9663573723909251, 0.9663217926896202, 0.9662896063674793, 0.9662491479334427, 0.9662028076537961, 0.9661650312960508, 0.9661317549379025, 0.9661065834154317, 0.9660740608811806, 0.9660325046553975, 0.965993756740877, 0.9659719988704616, 0.9659439365908404, 0.9659039258170752, 0.9658763769224576, 0.9658527230404411, 0.9658186524361102, 0.965782002497152, 0.9657364452085373, 0.9656930006393201, 0.9656479878912925, 0.9656154736672822, 0.9655849591749806, 0.9655564380779766, 0.9655317215040291, 0.965497161304018, 0.9654544797338318, 0.965403697724982, 0.9653562210628933, 0.9653155382676011, 0.9652843760017384, 0.9652494412928867, 0.9652299847386421, 0.9651853847240661, 0.965153176114893, 0.9651251985440217, 0.9650925798222276, 0.9650552272025121, 0.9650192330636258, 0.9649643444376844, 0.9648981327374797, 0.9648521353775315, 0.9648249393380028, 0.9647683101703, 0.9647245825094837, 0.9646819047518203, 0.964649746277682, 0.9646090685290172, 0.9645806489446307, 0.9645372607678113, 0.9644876605677499, 0.9644379750202012, 0.9643927317122949, 0.9643685270972433, 0.9643419837294561, 0.9643158233721827, 0.9642908004916129, 0.9642699920694094, 0.9642361729330322, 0.9642015246441591, 0.9641579963402542, 0.964117647209225, 0.9640781244663108, 0.9640363952169295, 0.9639856687731267, 0.9639402201356511, 0.9638915629816451, 0.963842804109373, 0.9638000620842013, 0.9637547030530802, 0.9637110003047191, 0.963675863021763, 0.963644481672407, 0.9636101158811183, 0.9635776561097547, 0.9635344120714995, 0.9634802073802893, 0.9634228614945497, 0.9633861735622673, 0.9633483064107189, 0.963309503251819, 0.9632723660644821, 0.9632310268893212, 0.9631859704799741, 0.9631409794230079, 0.9630819131281172, 0.9630391663768643, 0.9629833982732622, 0.9629340755812619, 0.9628936349378596, 0.9628524319110016, 0.9628074726843314, 0.9627682553328155, 0.9627282004965712, 0.9626853023578497, 0.9626429910307626, 0.9626087828951347, 0.9625574605992013, 0.9625233745160375, 0.9625007316037699, 0.9624453453393162, 0.9623997073233763, 0.962362275685215, 0.9623234953861907, 0.9622775434731223, 0.9622350637563265, 0.9621905502655227, 0.9621499622525371, 0.9621063492496496, 0.9620594667813993, 0.9620215364288357, 0.9619744869436104, 0.9619320417441459, 0.9618851103522932, 0.961834689064434, 0.9617895236901164, 0.9617262151729102, 0.9616713937478605, 0.9616260891504171, 0.9615841657356449, 0.9615484682272886, 0.961498305201187, 0.9614490455993134, 0.9614125316856312, 0.9613715294756333, 0.9613287869269975, 0.961287959551144, 0.9612474893700892, 0.9612099045213063, 0.9611593511155113, 0.9611036702132683, 0.9610533958353693, 0.9610046521226685, 0.9609662430517935, 0.9609124129765687, 0.960867036095809, 0.9608200762047479, 0.9607714135407077, 0.960726963450065, 0.9606928910053572, 0.9606561796632909, 0.9606126746246251, 0.960575940027609, 0.960536180222398, 0.9605036834591321, 0.9604420978911278, 0.9603993709181143, 0.9603616368879313, 0.9603257176118868, 0.9602752387781096, 0.9602261953364637, 0.9601857059057266, 0.9601552561740658, 0.9601153834967424, 0.9600724012888029, 0.9600326922747501, 0.9599872659654756, 0.9599448575351899, 0.9599083791118002, 0.9598620764191703, 0.9598226568975627, 0.9597907235054404, 0.9597475899797875, 0.9596922649595712, 0.9596405422737531, 0.95959712595, 0.9595544625789492, 0.959508917140767, 0.9594615525542471, 0.9594221808224714, 0.9593889171013279, 0.9593457317772409, 0.9593058823718584, 0.9592684858808922, 0.9592221240900247, 0.9591883744785812, 0.9591618089076865, 0.9591231193978733, 0.9590858852053665, 0.9590431843710775, 0.9589972276623077, 0.9589394640470253, 0.9588911391250006, 0.9588585681521893, 0.9588032834488527, 0.9587516645570824, 0.9587153634224094, 0.958664771613819, 0.9585976453902288, 0.9585363225832898, 0.9584983975765762, 0.9584639316124437, 0.9584233212741465, 0.9583901714634047, 0.9583253135329881, 0.9582894497913633, 0.9582494189359376, 0.9581902844566883, 0.9581451233577539, 0.9581051922012127, 0.9580681889177329, 0.9580166133028383, 0.9579714318279829, 0.9579156013273475, 0.9578706433037172, 0.9578249601532229, 0.9577815477646097, 0.9577323645996837, 0.9576802058798951, 0.9576132613540991, 0.9575542538986279, 0.9575198948041499, 0.9574810041585997, 0.9574462239835475, 0.9574005515370898, 0.9573539017713173, 0.9573167260051183, 0.9572820697207136, 0.957248159180764, 0.9571836757777008, 0.9571288322250057, 0.957079808458349, 0.9570227552967558, 0.9569687974595036, 0.9569344400649965, 0.9568898397941528, 0.9568409998461971, 0.956793864565201, 0.9567470556858758, 0.9567245064678502, 0.9566868297726973, 0.9566303729445655, 0.9565819461392325, 0.9565448501609373, 0.9565013266822244, 0.9564378075733748, 0.9563780566786503, 0.9563321520208375, 0.9562794535827404, 0.9562430563233045, 0.9562031529334547, 0.9561509182225091, 0.9561148930917331, 0.9560868485139005, 0.9560416715413849, 0.9560017688886469, 0.9559465632898005, 0.9559017055506493, 0.9558558970173809, 0.9558204804757676, 0.9557927116065843, 0.9557470836159463, 0.955696677710099, 0.9556489669580815, 0.9556103299905181, 0.9555588483618842, 0.9555096461835175, 0.9554718398633765, 0.9554187165234713, 0.9553536185464139, 0.955297349568439, 0.9552474396572228, 0.9552111361508286, 0.9551804939445693, 0.9551429258098648, 0.9550865388103924, 0.9550420564852831, 0.9549865490474587, 0.954912717717835, 0.9548566640283256, 0.9547936704821243, 0.9547423300589564, 0.9547004139740318, 0.9546514329988126, 0.9546019541204558, 0.9545570894146995, 0.9545130690555798, 0.9544677547624119, 0.9544167911631445, 0.9543580769638129, 0.9543041314701726, 0.9542291429273291, 0.9541639577850725, 0.9541021721553558, 0.9540286466470673, 0.9539639797532111, 0.9539262969776306, 0.9538855718544529, 0.953837104890664, 0.9537971582289984, 0.9537578856492044, 0.9536982238833143, 0.9536405467435545, 0.9535759110373743, 0.9535184699475936, 0.9534598001418202, 0.9534120849026478, 0.9533413467608068, 0.9532883549793534, 0.9532374740722287, 0.9531886520855054, 0.9531300671725567, 0.9530653073215127, 0.9529972731921765, 0.9529582199146046, 0.9529205829505785, 0.9528668153123183, 0.9528122746925927, 0.9527692974374353, 0.9527251429850552, 0.9526549892037499, 0.9525886524463397, 0.9525340683575545, 0.9524800306886583, 0.9524254422485549, 0.9523492060533738, 0.9522780812800311, 0.9522258006504285, 0.9521813226990297, 0.9521436255567566, 0.9520843609435151, 0.9520221774874198, 0.9519727196963839, 0.9519135100088845, 0.9518663346504701, 0.9518172692233174, 0.9517581524620828, 0.9517128879176697, 0.9516509612271333, 0.9516051931532978, 0.9515550584644463, 0.9515096588982073, 0.9514502466573287, 0.9513986456024177, 0.9513469102543868, 0.9512893509197078, 0.9512169072891745, 0.951153838247006, 0.9510977668214096, 0.9510419973388258, 0.9509773651003786, 0.9509109416639911, 0.9508407033878465, 0.9507750798657535, 0.9507109708324493, 0.9506556788949249, 0.950606784504669, 0.9505545022782013, 0.9504821204977845, 0.9504007039510161, 0.9503481604313568, 0.9503059104694564, 0.9502620947433946, 0.9501881924262503, 0.9501284572224162, 0.9500696854807837, 0.9500201672939167, 0.9499741499743658, 0.9499219369403759, 0.949871924564818, 0.949804955415854, 0.9497578345868609, 0.9496975283571196, 0.9496391501266555, 0.9495972564013726, 0.9495290658814981, 0.9494621900482015, 0.9494109952009842, 0.9493549199911291, 0.9493104452910399, 0.949266192498363, 0.949212646293039, 0.9491670290874904, 0.9491199666864343, 0.9490524823254622, 0.9489820415668588, 0.9489221100575551, 0.9488627831007613, 0.9488159949408185, 0.948769403576432, 0.9487067162176586, 0.9486547163232506, 0.9486137713267767, 0.9485537696402517, 0.9484954981472181, 0.9484388355047848, 0.9483533580896035, 0.9482806142283103, 0.9482126880131394, 0.948141949417248, 0.9480817315414082, 0.9480124655657531, 0.9479452176806349, 0.9478730232170951, 0.9478141447956712, 0.9477504536136787, 0.9476977360088998, 0.9476409723092678, 0.9475711564754061, 0.9475086029703303, 0.947454753269902, 0.9473918897250333, 0.9473105557286832, 0.9472523177856116, 0.9471956203722665, 0.9471500963993803, 0.9471039390471809, 0.9470490787781463, 0.9470015612273327, 0.9469391750347834, 0.9468911869117483, 0.9468396030721196, 0.9467847876267541, 0.9467035833072199, 0.9466261318204667, 0.9465772007765286, 0.9465202293253501, 0.9464634681513857, 0.9464059615740215, 0.9463377519851639, 0.9462741002705621, 0.9462277739967011, 0.9461746613775492, 0.9460980642824028, 0.9460403395631598, 0.9459719617213727, 0.9458874256621963, 0.945820011042138, 0.9457664602029208, 0.9457031386360373, 0.9456425997242381, 0.9455786312164396, 0.945522290623495, 0.9454751671096038, 0.9453965006729077, 0.9453342641127325, 0.9452590578666042, 0.9451973139823184, 0.9451366261428815, 0.9450572357040208, 0.9449875798588436, 0.9449319483668072, 0.944853163983151, 0.9447822427337583, 0.9447052097469577, 0.9446487131326927, 0.9445839776732916, 0.9445220032294126, 0.9444583610426798, 0.9443825504005201, 0.9442931275913651, 0.9442116975456876, 0.9441318046585139, 0.9440648075051314, 0.9439889600722904, 0.9439285031774214, 0.9438538251450652, 0.9437891204040945, 0.9437243130228763, 0.9436533728971566, 0.9435913008176193, 0.9435236804269296, 0.9434506105859071, 0.9433910420173138, 0.9433370256242701, 0.9432720131590826, 0.9432038099380258, 0.9431405310082112, 0.9430732431850922, 0.9430081215867125, 0.9429430699221848, 0.9428831929988559, 0.9428196411902467, 0.9427771597481266, 0.9427099031718503, 0.9426482362223066, 0.9425740814772576, 0.9424993937331942, 0.9424214130119565, 0.9423547876355242, 0.9423217098583092, 0.9422535600942279, 0.942181177460248, 0.9421174020235142, 0.9420269677514703, 0.941939352112471, 0.9418969848907406, 0.9418472545163827, 0.941798892962388, 0.9417422022258113, 0.9416794012456455, 0.9416090840752609, 0.9415393047373488, 0.9414688155422797, 0.9414048319094587, 0.9413327283324814, 0.9412260382876387, 0.941154046054907, 0.9410922264002772, 0.9410140421939532, 0.9409635704565773, 0.9409181073850149, 0.9408452977594569, 0.9407847681050139, 0.9407147484456031, 0.9406400965313932, 0.9405802465616442, 0.9405101671632882, 0.9404446888514869, 0.9403869890050875, 0.9403205295668076, 0.9402579757603272, 0.9401954068261921, 0.9401217906801731, 0.9400543760446289, 0.9399955670312653, 0.9399323885359003, 0.9398673363965326, 0.9397936402778659, 0.9397226151112155, 0.9396590559182585, 0.9396164760508202, 0.9395664248627491, 0.9395106678626165, 0.9394659620462168, 0.939405085317917, 0.939349156537368, 0.9392868271020827, 0.9392227126092656, 0.9391464348925436, 0.9390804013302942, 0.9390188600058487, 0.9389535683040966, 0.9388551896561053, 0.9387942512613597, 0.9387225355066783, 0.9386546603193726, 0.9385739703639446, 0.9384848903493567, 0.9384040774263662, 0.9383232233537117, 0.9382586253921763, 0.9381858249275148, 0.9380946181826803, 0.9380068621375737, 0.9379259350474969, 0.9378516732925468, 0.9377735052309284, 0.9376876810360084, 0.9376060216043935, 0.9375312866355839, 0.9374566332262813, 0.9373855943895381, 0.9372885828953692, 0.9371910613958192, 0.9371123097550245, 0.9370404476473871, 0.9369552009947533, 0.9368633336776456, 0.9367819083154899, 0.9367087246123726, 0.9366379786880219, 0.9365509309519049, 0.9364688825410301, 0.9363928526356433, 0.9363176786992555, 0.936258048694145, 0.9361902411329182, 0.9361118988028825, 0.9360227784396323, 0.9359269591660391, 0.9358453027498232, 0.9357735954640747, 0.9356922580435248, 0.9355919994568591, 0.9354979904683698, 0.9354208506981696, 0.9353322914076954, 0.9352400990960045, 0.9351583418342584, 0.9350656975524814, 0.9349887283304565, 0.9349171242823846, 0.9348296914463345, 0.9347576888572595, 0.9346753120273033, 0.934586329750831, 0.9345007087276312, 0.9344033275008121, 0.9342945630790068, 0.9341921331755392, 0.934104962783068, 0.9340065526978321, 0.9339152375876608, 0.9338279971696688, 0.9337467272259892, 0.933664757375485, 0.9335667205935058, 0.9334625070184437, 0.9333843947136469, 0.9333010605628868, 0.9332073616588756, 0.9331251449060001, 0.9330360097103236, 0.932944191650855, 0.9328817517676486, 0.9328097811231955, 0.9327083028717842, 0.9326136221453198, 0.9325193441914423, 0.9324452896380928, 0.9323398379839076, 0.9322458887231536, 0.9321656598810536, 0.9320902453969762, 0.9319949031888083, 0.931894024609742, 0.9317922404054743, 0.9317238824246821, 0.9316364091582414, 0.9315376322062274, 0.9314322716093606, 0.9313153972207234, 0.9312099228902737, 0.931122769826534, 0.9310204543293454, 0.9309161093797523, 0.930809592494444, 0.9307192005540734, 0.9306121249556262, 0.9305016750590653, 0.9304160653971519, 0.930294160732889, 0.9301995630254298, 0.9301230646256834, 0.9300209917099767, 0.9298993831467937, 0.9297700458605813, 0.9296713060176979, 0.9295712899404383, 0.9294681940118937, 0.9293244751700103, 0.9292101987258423, 0.9291272700680334, 0.929028541554836, 0.928920386442147, 0.9288332988879469, 0.9287464159061416, 0.928637217978519, 0.9285353529525051, 0.9284565723453588, 0.9283597639845034, 0.9282617620019158, 0.9281704219416291, 0.9280673642432649, 0.9279714477749978, 0.9278632434517068, 0.9277600959150727, 0.9276582962022272, 0.9275396802609359, 0.9274481891366854, 0.9273696751793825, 0.9272777130125343, 0.9271581251344916, 0.9270689727676156, 0.92697962409515, 0.9268665150380809, 0.9267581894788958, 0.9266208660627128, 0.926510262914739, 0.9264326979767733, 0.9263450896193393, 0.9262492249986978, 0.9261429937604324, 0.9260322753585579, 0.9259478625025419, 0.9258152087907774, 0.9257246403984185, 0.9256091729815311, 0.9254851929194086, 0.9253558618708251, 0.9252426221469198, 0.9251360605304431, 0.9250804928334989, 0.9249913826959487, 0.9248861652881635, 0.9247875414332759, 0.9246875260214592, 0.9245953408466766, 0.9244943075336225, 0.9243881487331372, 0.9242615480036578, 0.9241406278253357, 0.9240424363494197, 0.9239586394358614, 0.9238690476506475, 0.9237774011612321, 0.9236673258338319, 0.9235718183964368, 0.923465281969002, 0.9233664702587114, 0.9232538796567632, 0.9231663496973976, 0.92304693610682, 0.9229396688140841, 0.9228259304228374, 0.9227144884062424, 0.922611465169507, 0.9225123791306538, 0.9224003049938096, 0.9222936593240547, 0.9221683538868883, 0.922055836510427, 0.9219660270770702, 0.9218517316181776, 0.9217358784555142, 0.9216410124069241, 0.9215520718939754, 0.9214593895432021, 0.921368329153202, 0.9212752552278001, 0.9211722239595848, 0.9210613892746592, 0.9209274699210053, 0.9208115926110519, 0.9207234644744646, 0.9206185380460791, 0.9205008294306396, 0.9203908140973738, 0.9202717433158003, 0.9201717500271597, 0.9200442742258939, 0.9199275368194204, 0.919803736091829, 0.9196978156852497, 0.9196057287792889, 0.9194918570471902, 0.919381239543171, 0.9192187349564636, 0.9190845448253759, 0.9189833190503034, 0.9188707746854372, 0.918773733977283, 0.9186682442856902, 0.918569292587673, 0.9184653705055272, 0.9183466833291756, 0.9182415634631655, 0.918142406919104, 0.9180138653354716, 0.9178708772964327, 0.9177506693193475, 0.9176465096966677, 0.9175380710194698, 0.9173961850365773, 0.9172556208039169, 0.9171429231077199, 0.9169935221865306, 0.9168728367517707, 0.9167465236568026, 0.9166214919699431, 0.9164808281913583, 0.9163705173532337, 0.9162679237141969, 0.9161284907754523, 0.9160371089901473, 0.9159451607178202, 0.9158075138523043, 0.9156947504070821, 0.9156070722141764, 0.9155041313157368, 0.9153601147483696, 0.9152652672166377, 0.9151258681970489, 0.9150425928628478, 0.9149404892399124, 0.914815697828941, 0.9147011102619728, 0.9145971666059411, 0.9144944483270662, 0.9143634960712155, 0.9142236075604143, 0.9140984618074797, 0.9139969870152251, 0.91387380330744, 0.9137555014592367, 0.913680051665658, 0.9135945589492072, 0.9135014847674843, 0.913376655724649, 0.9132279888836645, 0.9130946975398136, 0.9129736910677047, 0.9128810066384161, 0.9127755350146076, 0.912659620767827, 0.9125377237985366, 0.9123953294332163, 0.9122471754363499, 0.9121169460601224, 0.9119989931083732, 0.9118804788426698, 0.9117472492132666, 0.9116094924652957, 0.9115131368127125, 0.911372793875974, 0.9112474732682218, 0.9111198651771462, 0.9110140542805021, 0.9108881229477448, 0.9107819966679732, 0.9106608968133978, 0.91051812188143, 0.910375358790195, 0.9102444522579438, 0.9101146957476929, 0.9099563080682358, 0.9098286348195902, 0.909715772702294, 0.909577301306089, 0.9094516976216902, 0.9093171880972891, 0.9091969641567412, 0.9090614509785391, 0.9089431016147574, 0.9087969002808636, 0.9086444422881224, 0.9085010979662436, 0.9083547151354474, 0.9082067193912804, 0.9080621264579931, 0.9079448956490352, 0.9078139769773248, 0.9076554234053695, 0.9075297743573048, 0.9074002896633553, 0.9072802403865192, 0.9071614131601371, 0.907039144233152, 0.906885578891441, 0.9067478366461055, 0.9066381242664486, 0.9065056507577767, 0.906366475564764, 0.9062180825523167, 0.9060499413157219, 0.9058683763284716, 0.9057099261086573, 0.9055591775168761, 0.9053838033694404, 0.9052281987635661, 0.9050690429818008, 0.9049610440354108, 0.9048209907022834, 0.9046599020462714, 0.9045231213333587, 0.9043893289446816, 0.9042397930711574, 0.9040178260229172, 0.9038612448138141, 0.903734675717785, 0.9036323313750458, 0.903486056465364, 0.9033379397516401, 0.9031868773604628, 0.903048950424294, 0.9028979098451141, 0.9027328903663945, 0.9025541949555586, 0.9024400682102418, 0.902246048177135, 0.902101035083213, 0.9019191326559906, 0.9017454147372638, 0.9015755211116528, 0.9014139631933348, 0.9012388549377022, 0.9010685443778779, 0.900960867247093, 0.9008553712518754, 0.9007287703960002, 0.900592309419193, 0.90045636291132, 0.9002890177177685, 0.9001428471661885, 0.899971137668826, 0.8997889006314492, 0.8996473245475956, 0.8995278183242018, 0.8993391940995106, 0.8991787692698445, 0.8990289592344185, 0.8988223752885531, 0.8986530153385854, 0.8984824296362433, 0.8983462088185046, 0.8982198662083929, 0.8980692574593363, 0.8979114118773927, 0.8977823920638545, 0.8976221550127395, 0.8974339454144252, 0.8972683159564709, 0.8971308793384356, 0.8969816044003951, 0.8967943739697293, 0.8966296801533322, 0.8964333877621388, 0.8962511612533712, 0.8961013672844931, 0.8959154579507468, 0.8957617464101115, 0.8956162950419503, 0.895434101546923, 0.895302821702465, 0.895141430364109, 0.8949336455113218, 0.8947784276694747, 0.8945971491407083, 0.8943880485102553, 0.8942051953470733, 0.894039118825519, 0.8938526790610954, 0.8936924070519126, 0.8935039154533924, 0.8933115203073463, 0.893117409812505, 0.8929334127560189, 0.8927217582157925, 0.8925598277185052, 0.8923559622871429, 0.8921903208899563, 0.8920214471315524, 0.8918346396772769, 0.8916475125128033, 0.8914035006541137, 0.8911755538561699, 0.8910119042069391, 0.8908256306804329, 0.8905936279878834, 0.8903964486195819, 0.890215139553618, 0.8899994463695913, 0.8897505610555296, 0.8895476280948301, 0.8893868675742669, 0.8892463532925834, 0.8890477949089903, 0.8888542236813715, 0.8886832814893002, 0.8884202869503526, 0.8881137870882231, 0.8878720254529918, 0.8877279620145906, 0.8875327867176234, 0.8873423667462977, 0.8871545989545131, 0.886952348719413, 0.8866747317390914, 0.8864530059824857, 0.8862913248513354, 0.8860749427153416, 0.8859299504791273, 0.8856822833545512, 0.8854126719071438, 0.8851545658829747, 0.8849273018199291, 0.8847128233556889, 0.884518083855201, 0.8842895522984486, 0.8840984867664761, 0.8838366824160038, 0.8835872192987604, 0.883376337240012, 0.8831631142515299, 0.8829652970747939, 0.882774542483488, 0.8825436971400007, 0.8823594869829549, 0.8821221098307683, 0.8818952453571467, 0.8816703615975017, 0.8814644987623743, 0.8812480176565438, 0.8810220546712233, 0.8808198463882729, 0.8806174222312204, 0.880429288760657, 0.880215199978146, 0.8799898083743143, 0.8797787091086076, 0.87958552380241, 0.8793552303592533, 0.8791540087393264, 0.8789691165436113, 0.8787482360965684, 0.8785289899681259, 0.8783099365362969, 0.878082365821721, 0.8778848980299859, 0.8776887470875391, 0.8774988618802861, 0.8772838696367059, 0.8770426017717357, 0.8768294621712716, 0.8765841624472714, 0.8763317777982128, 0.8760902909290897, 0.8758951841558187, 0.8756794451730658, 0.8754457593415577, 0.8751879307392214, 0.8750264459374573, 0.8748234557983505, 0.8746293395596472, 0.8744020035517389, 0.8741263216104411, 0.8738742457457385, 0.8736269855393546, 0.873402864696909, 0.8732315229506052, 0.8729869196515088, 0.8727768981098747, 0.872556532956587, 0.8722817477078775, 0.8720615321306867, 0.8718607210172604, 0.871685747739755, 0.8714831950544273, 0.8712480486692027, 0.8710441210778137, 0.8708160356460857, 0.870581904335347, 0.870269178290066, 0.8700204920591645, 0.8698208118129258, 0.8696402291649701, 0.8694002987304545, 0.8691226347951383, 0.8688996181776865, 0.868648951910574, 0.8683644429611588, 0.8681552994468225, 0.8679053304062432, 0.8676251163000746, 0.867351184093233, 0.8671125765719055, 0.8668362830459333, 0.866549255206202, 0.8663162896324145, 0.8660942821215216, 0.8658748168474428, 0.8656925352921923, 0.8654226949332446, 0.8651408815157982, 0.8648601157662341, 0.8645918588020819, 0.8643320378587033, 0.8641433537603894, 0.8639053904025444, 0.863655318501352, 0.8634099735469548, 0.8631424800327022, 0.8629279300346113, 0.8627378125378133, 0.8625222764406957, 0.8622677212459816, 0.8619732925784656, 0.8617270151819533, 0.8614412568067676, 0.86117570734294, 0.8609291554433931, 0.8606323971202159, 0.8603530621878109, 0.860105893265894, 0.8598682840961187, 0.8595826499442407, 0.8592451614121359, 0.8590146082736669, 0.858756750257338, 0.8584266964653566, 0.8581482346358273, 0.8578726243977554, 0.8576504388398221, 0.8573942133204706, 0.8571188377725355, 0.8568339775704787, 0.8565826646904497, 0.8563331453757246, 0.8560542984171513, 0.8557943480758775, 0.8555818369623795, 0.8553421349289769, 0.8550504783703787, 0.8547543141634666, 0.8544825328344479, 0.854177178999637, 0.8539106394963989, 0.8536283537438234, 0.8533297337865384, 0.853081739783242, 0.8527867670036192, 0.8524989901587501, 0.8522125881591794, 0.851881830032398, 0.8515826165816242, 0.8513453635320347, 0.8510782940210928, 0.8507720419043527, 0.850472977735633, 0.8501980541290739, 0.8498743004591673, 0.8496423887782394, 0.8494332046851472, 0.8490960449816848, 0.8487428914840534, 0.8483436967361222, 0.8480506278540614, 0.847817946794412, 0.8475693733985827, 0.8472747200728441, 0.8470634405874047, 0.8466292467586041, 0.8462815883642677, 0.8460049972447198, 0.8456655447456267, 0.8453408113750809, 0.8450565489963126, 0.8447565057456101, 0.8444476841421811, 0.8440844641929384, 0.8437580344587688, 0.8434364052661314, 0.8431002635881846, 0.8428321237984209, 0.8424742315601539, 0.8421687970980498, 0.8418873156119187, 0.841611011249274, 0.8413690333446089, 0.8410525417055303, 0.8406642437434955, 0.8403700437313366, 0.8400814890777656, 0.8397938060555568, 0.8395329379031999, 0.8392881871638637, 0.8390105076201013, 0.8387335843237349, 0.8384501226836147, 0.8381365174828531, 0.8377986788319096, 0.8374548679516003, 0.837102709421087, 0.8367351282115015, 0.8364283178486189, 0.8361568838154695, 0.8357802856935264, 0.8353917225615413, 0.835028430565986, 0.8347298908254432, 0.8344585593901004, 0.8341787209522178, 0.8338357162247552, 0.8334201502355432, 0.8329983560165906, 0.8326400854775144, 0.8323570338138513, 0.8319984406404493, 0.8316069854303967, 0.831264462984247, 0.8309310779662947, 0.8306405743647023, 0.8303666755180594, 0.8300312958063125, 0.8296076720881272, 0.8292487818651957, 0.8289008603565307, 0.8284867621365879, 0.8281386385282856, 0.8278303804903677, 0.8274815329084131, 0.8271634694337666, 0.8268781082203643, 0.8265997330855648, 0.8263331719356172, 0.8259969411526603, 0.825519571554238, 0.8251310533552368, 0.8247692283932482, 0.8243332437595977, 0.8239241291546913, 0.8235837050296846, 0.8232757371771091, 0.8229570068294716, 0.8226106909676876, 0.8221678703659432, 0.8218013974774518, 0.8214798749766878, 0.8211815924309835, 0.8208937149011558, 0.8205296865316485, 0.8201818638969232, 0.8198286654903357, 0.8194240452554841, 0.8190182901462095, 0.8186140290110858, 0.8181816383469291, 0.8177491554045764, 0.8173644167342357, 0.8170108889510679, 0.8165773050437799, 0.8161632495813074, 0.8157428691472939, 0.8153441340476186, 0.8150005729432772, 0.8146233308268572, 0.8142320812100996, 0.8138635125230057, 0.8134649555649847, 0.8131019992151782, 0.8126935440945665, 0.812201699583416, 0.8117455167272929, 0.8112616217887717, 0.810817423738549, 0.8104095033392509, 0.809987403250754, 0.8096418572359583, 0.8091129609518706, 0.808609670424456, 0.8081890233300693, 0.8077088575595937, 0.8071820406289762, 0.8065625684246457, 0.8060235325986203, 0.8055639221574677, 0.8050763621271211, 0.8046517965422397, 0.804141367876684, 0.8036485027695998, 0.8032377094625001, 0.802814846214273, 0.8023253055851765, 0.8019675504818976, 0.8015154536782361, 0.8010948241158372, 0.800615961799386, 0.8001026224026926, 0.7996642462932099, 0.7992376308950528, 0.7988280149876836, 0.7984136491629537, 0.7979435911943706, 0.7974030288077834, 0.7969035349694609, 0.7964781806300483, 0.7960683160649147, 0.795624354113591, 0.7951368978174974, 0.7946368164871167, 0.7941418796985985, 0.7937005994269355, 0.7932843374713586, 0.7928372643605125, 0.7923381385334269, 0.7918955958422639, 0.7914191621077358, 0.7909296513355923, 0.7905010069635596, 0.7900092697456879, 0.7895278721346074, 0.7890481828025429, 0.7886033527370697, 0.7881824714369042, 0.7876718667071854, 0.7872415543441262, 0.7867630191585181, 0.7862863087102976, 0.7857767636325398, 0.7852216962930523, 0.7846351373701416, 0.7842513320626356, 0.7837941407372813, 0.7832139360622069, 0.782729413451549, 0.7822427192502011, 0.7818329362017842, 0.781385556129103, 0.7809196203694735, 0.7804785344824412, 0.7800462436509967, 0.7795465164881392, 0.7790679685997801, 0.7785797776928463, 0.7780268170172088, 0.7774608449186815, 0.777003987995887, 0.7763949763278315, 0.7758141379321437, 0.7752825008861843, 0.774673994852954, 0.7741802328549361, 0.7736594616372533, 0.7731562218169044, 0.7725507181805197, 0.7720162105334621, 0.7713830430341864, 0.7707873065136535, 0.7701959051329413, 0.7697138604773279, 0.7691048488181047, 0.7686636668102, 0.7679470566824109, 0.7674833679819736, 0.7670110180592724, 0.766529591359673, 0.7658939903199926, 0.7651489426458784, 0.7645661917404427, 0.7638239358898382, 0.7632260651206366, 0.762520417251912, 0.7620240410786971, 0.7614567499421474, 0.7608304883405006, 0.7603189727167647, 0.7598060758648191, 0.7592811595040112, 0.7587160275636118, 0.7581602185328316, 0.7577202927983933, 0.7571344759828806, 0.7565054638890991, 0.7559631948831891, 0.7554022408590094, 0.7547477130725861, 0.7542030623955392, 0.753613946731847, 0.7530162047008155, 0.7523652376997758, 0.7517954560917403, 0.7513012234833472, 0.7508444787140207, 0.7502597536732643, 0.7495799380714043, 0.7489867847339338, 0.7483334677716859, 0.7477168561822913, 0.747101603654988, 0.7465836703786697, 0.7459136824270336, 0.7453008964779582, 0.7445924860076003, 0.7438906650722593, 0.7431651667899573, 0.7424879183718175, 0.7419216119705503, 0.7413594617778, 0.7406735384334765, 0.739958713526585, 0.7392404967996835, 0.7386211949544428, 0.7381158459774915, 0.7375141612730165, 0.7368821998150608, 0.736240986976723, 0.7355640335367797, 0.7348374139876503, 0.7342085887998664, 0.7335425501038342, 0.7330169592425979, 0.7323294994473368, 0.7315821554436133, 0.7308266614180676, 0.7300713814965177, 0.7294510970159338, 0.7289072694095016, 0.7282297040058063, 0.7275624966886122, 0.7270009292306091, 0.7263642556593735, 0.7256982622897378, 0.7250690034404657, 0.7243866122888508, 0.7236710409167157, 0.7231011908984984, 0.7224749814371347, 0.7219522036073192, 0.7213947086401696, 0.7207128812528878, 0.7200466245514872, 0.7192834719728872, 0.7185315196204679, 0.7178464029506104, 0.7171901980627222, 0.7165837901809241, 0.7159889849327206, 0.7153328367326955, 0.7145630181334393, 0.7137720146820469, 0.7130817128289488, 0.7158476266297324, 0.7152715161528134, 0.7145886539754558, 0.713783547436522, 0.7131321723670887, 0.714894792589721, 0.7148222226903694, 0.7140276692190417, 0.7133959336009004, 0.7127749562153014, 0.7120875837457973, 0.7113432137477227, 0.7106879985125337, 0.7100566264330438, 0.7093168257736366, 0.7124306975493325, 0.7116961156745136, 0.712068305745718, 0.7116255775938067, 0.7119205360200974, 0.7111397901717196, 0.7107662415680541, 0.7106479601418939, 0.7102518757556361, 0.709653745156763, 0.7100164471098971, 0.7096486610914682, 0.7090869844195778, 0.7096207218505677, 0.709836360516815, 0.709812157767528, 0.7092876332281567, 0.7084557834913646, 0.7079479102901385, 0.7089698859229829, 0.7082018290170534, 0.7079186998302188, 0.7084429425009463, 0.7090148696617071, 0.7086041411031785, 0.7082406962103917, 0.7085317702620553, 0.7088838780116874, 0.7091104864168751, 0.708507203452664, 0.710006473657576, 0.710336170386333, 0.7121264087892367, 0.7116859384260936, 0.7127675290326494, 0.7127653516070397, 0.7119456915738032, 0.712842657844379, 0.7122349935220599, 0.7114235039584551, 0.7105955643801458, 0.7100882251984775, 0.7095882399237767, 0.7220447529633731, 0.7213278911419847, 0.7206485481040413, 0.7199294029328167, 0.7192001201504593, 0.7184310302681229, 0.7175634874387226, 0.7167502459385939, 0.7159418139743753, 0.7154561004378909, 0.7147227591133237, 0.71381952840373, 0.7130318086540668, 0.7123409341445706, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}, {\\\"hoverinfo\\\": \\\"skip\\\", \\\"line\\\": {\\\"color\\\": \\\"rgba(0, 125, 125, 1)\\\", \\\"width\\\": 0.0}, \\\"mode\\\": \\\"lines\\\", \\\"name\\\": \\\"\\\", \\\"showlegend\\\": false, \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.5, 0.5001, 0.5002, 0.5003, 0.5004, 0.5005, 0.5006, 0.5007, 0.5008, 0.5009, 0.501, 0.5011, 0.5012, 0.5013, 0.5014, 0.5015, 0.5016, 0.5017, 0.5018, 0.5019, 0.502, 0.5021, 0.5022, 0.5023, 0.5024, 0.5025, 0.5026, 0.5027, 0.5028, 0.5029, 0.503, 0.5031, 0.5032, 0.5033, 0.5034, 0.5035, 0.5036, 0.5037, 0.5038, 0.5039, 0.504, 0.5041, 0.5042, 0.5043, 0.5044, 0.5045, 0.5046, 0.5047, 0.5048, 0.5049, 0.505, 0.5051, 0.5052, 0.5053, 0.5054, 0.5055, 0.5056, 0.5057, 0.5058, 0.5059, 0.506, 0.5061, 0.5062, 0.5063, 0.5064, 0.5065, 0.5066, 0.5067, 0.5068, 0.5069, 0.507, 0.5071, 0.5072, 0.5073, 0.5074, 0.5075, 0.5076, 0.5077, 0.5078, 0.5079, 0.508, 0.5081, 0.5082, 0.5083, 0.5084, 0.5085, 0.5086, 0.5087, 0.5088, 0.5089, 0.509, 0.5091, 0.5092, 0.5093, 0.5094, 0.5095, 0.5096, 0.5097, 0.5098, 0.5099, 0.51, 0.5101, 0.5102, 0.5103, 0.5104, 0.5105, 0.5106, 0.5107, 0.5108, 0.5109, 0.511, 0.5111, 0.5112, 0.5113, 0.5114, 0.5115, 0.5116, 0.5117, 0.5118, 0.5119, 0.512, 0.5121, 0.5122, 0.5123, 0.5124, 0.5125, 0.5126, 0.5127, 0.5128, 0.5129, 0.513, 0.5131, 0.5132, 0.5133, 0.5134, 0.5135, 0.5136000000000001, 0.5137, 0.5138, 0.5139, 0.514, 0.5141, 0.5142, 0.5143, 0.5144, 0.5145, 0.5146, 0.5147, 0.5148, 0.5149, 0.515, 0.5151, 0.5152, 0.5153, 0.5154, 0.5155, 0.5156, 0.5157, 0.5158, 0.5159, 0.516, 0.5161, 0.5162, 0.5163, 0.5164, 0.5165, 0.5166, 0.5167, 0.5168, 0.5169, 0.517, 0.5171, 0.5172, 0.5173, 0.5174, 0.5175, 0.5176, 0.5177, 0.5178, 0.5179, 0.518, 0.5181, 0.5182, 0.5183, 0.5184, 0.5185, 0.5186, 0.5187, 0.5188, 0.5189, 0.519, 0.5191, 0.5192, 0.5193, 0.5194, 0.5195, 0.5196, 0.5197, 0.5198, 0.5199, 0.52, 0.5201, 0.5202, 0.5203, 0.5204, 0.5205, 0.5206, 0.5207, 0.5208, 0.5209, 0.521, 0.5211, 0.5212, 0.5213, 0.5214, 0.5215, 0.5216, 0.5217, 0.5218, 0.5219, 0.522, 0.5221, 0.5222, 0.5223, 0.5224, 0.5225, 0.5226, 0.5227, 0.5228, 0.5229, 0.523, 0.5231, 0.5232, 0.5233, 0.5234, 0.5235, 0.5236, 0.5237, 0.5238, 0.5239, 0.524, 0.5241, 0.5242, 0.5243, 0.5244, 0.5245, 0.5246, 0.5246999999999999, 0.5248, 0.5249, 0.525, 0.5251, 0.5252, 0.5253, 0.5254, 0.5255, 0.5256, 0.5257000000000001, 0.5258, 0.5259, 0.526, 0.5261, 0.5262, 0.5263, 0.5264, 0.5265, 0.5266, 0.5267, 0.5268, 0.5269, 0.527, 0.5271, 0.5272, 0.5273, 0.5274, 0.5275, 0.5276, 0.5277000000000001, 0.5278, 0.5279, 0.528, 0.5281, 0.5282, 0.5283, 0.5284, 0.5285, 0.5286, 0.5287, 0.5288, 0.5289, 0.529, 0.5291, 0.5292, 0.5293, 0.5294, 0.5295, 0.5296, 0.5297, 0.5298, 0.5299, 0.53, 0.5301, 0.5302, 0.5303, 0.5304, 0.5305, 0.5306, 0.5307, 0.5308, 0.5309, 0.531, 0.5311, 0.5312, 0.5313, 0.5314, 0.5315, 0.5316, 0.5317, 0.5318, 0.5319, 0.532, 0.5321, 0.5322, 0.5323, 0.5324, 0.5325, 0.5326, 0.5327, 0.5328, 0.5329, 0.533, 0.5331, 0.5332, 0.5333, 0.5334, 0.5335, 0.5336, 0.5337, 0.5338, 0.5339, 0.534, 0.5341, 0.5342, 0.5343, 0.5344, 0.5345, 0.5346, 0.5347, 0.5348, 0.5349, 0.535, 0.5351, 0.5352, 0.5353, 0.5354, 0.5355, 0.5356, 0.5357, 0.5358, 0.5359, 0.536, 0.5361, 0.5362, 0.5363, 0.5364, 0.5365, 0.5366, 0.5367, 0.5367999999999999, 0.5369, 0.537, 0.5371, 0.5372, 0.5373, 0.5374, 0.5375, 0.5376, 0.5377, 0.5378000000000001, 0.5379, 0.538, 0.5381, 0.5382, 0.5383, 0.5384, 0.5385, 0.5386, 0.5387, 0.5388, 0.5389, 0.539, 0.5391, 0.5392, 0.5393, 0.5394, 0.5395, 0.5396, 0.5397, 0.5398000000000001, 0.5399, 0.54, 0.5401, 0.5402, 0.5403, 0.5404, 0.5405, 0.5406, 0.5407, 0.5408, 0.5409, 0.541, 0.5411, 0.5412, 0.5413, 0.5414, 0.5415, 0.5416, 0.5417, 0.5418000000000001, 0.5419, 0.542, 0.5421, 0.5422, 0.5423, 0.5424, 0.5425, 0.5426, 0.5427, 0.5428, 0.5429, 0.543, 0.5431, 0.5432, 0.5433, 0.5434, 0.5435, 0.5436, 0.5437, 0.5438, 0.5439, 0.544, 0.5441, 0.5442, 0.5443, 0.5444, 0.5445, 0.5446, 0.5447, 0.5448, 0.5449, 0.545, 0.5451, 0.5452, 0.5453, 0.5454, 0.5455, 0.5456, 0.5457, 0.5458, 0.5459, 0.546, 0.5461, 0.5462, 0.5463, 0.5464, 0.5465, 0.5466, 0.5467, 0.5468, 0.5469, 0.547, 0.5471, 0.5472, 0.5473, 0.5474, 0.5475, 0.5476, 0.5477, 0.5478, 0.5479, 0.548, 0.5481, 0.5482, 0.5483, 0.5484, 0.5485, 0.5486, 0.5487, 0.5488, 0.5488999999999999, 0.549, 0.5491, 0.5492, 0.5493, 0.5494, 0.5495, 0.5496, 0.5497, 0.5498, 0.5499, 0.55, 0.5501, 0.5502, 0.5503, 0.5504, 0.5505, 0.5506, 0.5507, 0.5508, 0.5509, 0.551, 0.5511, 0.5512, 0.5513, 0.5514, 0.5515, 0.5516, 0.5517, 0.5518, 0.5519000000000001, 0.552, 0.5521, 0.5522, 0.5523, 0.5524, 0.5525, 0.5526, 0.5527, 0.5528, 0.5529, 0.553, 0.5531, 0.5532, 0.5533, 0.5534, 0.5535, 0.5536, 0.5537, 0.5538, 0.5539000000000001, 0.554, 0.5541, 0.5542, 0.5543, 0.5544, 0.5545, 0.5546, 0.5547, 0.5548, 0.5549, 0.555, 0.5551, 0.5552, 0.5553, 0.5554, 0.5555, 0.5556, 0.5557, 0.5558, 0.5559000000000001, 0.556, 0.5561, 0.5562, 0.5563, 0.5564, 0.5565, 0.5566, 0.5567, 0.5568, 0.5569, 0.557, 0.5571, 0.5572, 0.5573, 0.5574, 0.5575, 0.5576, 0.5577, 0.5578, 0.5579, 0.558, 0.5581, 0.5582, 0.5583, 0.5584, 0.5585, 0.5586, 0.5587, 0.5588, 0.5589, 0.559, 0.5591, 0.5592, 0.5593, 0.5594, 0.5595, 0.5596, 0.5597, 0.5598, 0.5599, 0.56, 0.5601, 0.5602, 0.5603, 0.5604, 0.5605, 0.5606, 0.5607, 0.5608, 0.5609, 0.561, 0.5611, 0.5612, 0.5613, 0.5614, 0.5615, 0.5616, 0.5617, 0.5618, 0.5619, 0.562, 0.5621, 0.5622, 0.5623, 0.5624, 0.5625, 0.5626, 0.5627, 0.5628, 0.5629, 0.563, 0.5631, 0.5632, 0.5633, 0.5634, 0.5635, 0.5636, 0.5637, 0.5638, 0.5639, 0.5640000000000001, 0.5641, 0.5642, 0.5643, 0.5644, 0.5645, 0.5646, 0.5647, 0.5648, 0.5649, 0.565, 0.5651, 0.5652, 0.5653, 0.5654, 0.5655, 0.5656, 0.5657, 0.5658, 0.5659, 0.5660000000000001, 0.5661, 0.5662, 0.5663, 0.5664, 0.5665, 0.5666, 0.5667, 0.5668, 0.5669, 0.567, 0.5671, 0.5672, 0.5673, 0.5674, 0.5675, 0.5676, 0.5677, 0.5678, 0.5679, 0.5680000000000001, 0.5681, 0.5682, 0.5683, 0.5684, 0.5685, 0.5686, 0.5687, 0.5688, 0.5689, 0.569, 0.5691, 0.5692, 0.5693, 0.5694, 0.5695, 0.5696, 0.5697, 0.5698, 0.5699, 0.5700000000000001, 0.5701, 0.5702, 0.5703, 0.5704, 0.5705, 0.5706, 0.5707, 0.5708, 0.5709, 0.571, 0.5710999999999999, 0.5712, 0.5713, 0.5714, 0.5715, 0.5716, 0.5717, 0.5718, 0.5719, 0.5720000000000001, 0.5721, 0.5722, 0.5723, 0.5724, 0.5725, 0.5726, 0.5727, 0.5728, 0.5729, 0.573, 0.5730999999999999, 0.5732, 0.5733, 0.5734, 0.5735, 0.5736, 0.5737, 0.5738, 0.5739, 0.5740000000000001, 0.5741, 0.5742, 0.5743, 0.5744, 0.5745, 0.5746, 0.5747, 0.5748, 0.5749, 0.575, 0.5751, 0.5752, 0.5753, 0.5754, 0.5755, 0.5756, 0.5757, 0.5758, 0.5759, 0.576, 0.5761000000000001, 0.5762, 0.5763, 0.5764, 0.5765, 0.5766, 0.5767, 0.5768, 0.5769, 0.577, 0.5771, 0.5772, 0.5773, 0.5774, 0.5775, 0.5776, 0.5777, 0.5778, 0.5779, 0.578, 0.5781000000000001, 0.5782, 0.5783, 0.5784, 0.5785, 0.5786, 0.5787, 0.5788, 0.5789, 0.579, 0.5791, 0.5792, 0.5793, 0.5794, 0.5795, 0.5796, 0.5797, 0.5798, 0.5799, 0.58, 0.5801000000000001, 0.5802, 0.5803, 0.5804, 0.5805, 0.5806, 0.5807, 0.5808, 0.5809, 0.581, 0.5811, 0.5812, 0.5813, 0.5814, 0.5815, 0.5816, 0.5817, 0.5818, 0.5819, 0.582, 0.5821000000000001, 0.5822, 0.5823, 0.5824, 0.5825, 0.5826, 0.5827, 0.5828, 0.5829, 0.583, 0.5831, 0.5832, 0.5833, 0.5834, 0.5835, 0.5836, 0.5837, 0.5838, 0.5839, 0.584, 0.5841000000000001, 0.5842, 0.5843, 0.5844, 0.5845, 0.5846, 0.5847, 0.5848, 0.5849, 0.585, 0.5851, 0.5851999999999999, 0.5853, 0.5854, 0.5855, 0.5856, 0.5857, 0.5858, 0.5859, 0.586, 0.5861000000000001, 0.5862, 0.5863, 0.5864, 0.5865, 0.5866, 0.5867, 0.5868, 0.5869, 0.587, 0.5871, 0.5871999999999999, 0.5873, 0.5874, 0.5875, 0.5876, 0.5877, 0.5878, 0.5879, 0.588, 0.5881, 0.5882000000000001, 0.5883, 0.5884, 0.5885, 0.5886, 0.5887, 0.5888, 0.5889, 0.589, 0.5891, 0.5892, 0.5893, 0.5894, 0.5895, 0.5896, 0.5897, 0.5898, 0.5899, 0.59, 0.5901, 0.5902000000000001, 0.5903, 0.5904, 0.5905, 0.5906, 0.5907, 0.5908, 0.5909, 0.591, 0.5911, 0.5912, 0.5913, 0.5914, 0.5915, 0.5916, 0.5917, 0.5918, 0.5919, 0.592, 0.5921, 0.5922000000000001, 0.5923, 0.5924, 0.5925, 0.5926, 0.5927, 0.5928, 0.5929, 0.593, 0.5931, 0.5932, 0.5933, 0.5934, 0.5935, 0.5936, 0.5937, 0.5938, 0.5939, 0.594, 0.5941, 0.5942000000000001, 0.5943, 0.5944, 0.5945, 0.5946, 0.5947, 0.5948, 0.5949, 0.595, 0.5951, 0.5952, 0.5953, 0.5954, 0.5955, 0.5956, 0.5957, 0.5958, 0.5959, 0.596, 0.5961, 0.5962000000000001, 0.5963, 0.5964, 0.5965, 0.5966, 0.5967, 0.5968, 0.5969, 0.597, 0.5971, 0.5972, 0.5973, 0.5974, 0.5975, 0.5976, 0.5977, 0.5978, 0.5979, 0.598, 0.5981, 0.5982000000000001, 0.5983, 0.5984, 0.5985, 0.5986, 0.5987, 0.5988, 0.5989, 0.599, 0.5991, 0.5992, 0.5992999999999999, 0.5994, 0.5995, 0.5996, 0.5997, 0.5998, 0.5999, 0.6, 0.6001, 0.6002000000000001, 0.6003000000000001, 0.6004, 0.6005, 0.6006, 0.6007, 0.6008, 0.6009, 0.601, 0.6011, 0.6012, 0.6013, 0.6014, 0.6015, 0.6016, 0.6017, 0.6018, 0.6019, 0.602, 0.6021, 0.6022, 0.6023000000000001, 0.6024, 0.6025, 0.6026, 0.6027, 0.6028, 0.6029, 0.603, 0.6031, 0.6032, 0.6033, 0.6034, 0.6035, 0.6036, 0.6037, 0.6038, 0.6039, 0.604, 0.6041, 0.6042, 0.6043000000000001, 0.6044, 0.6045, 0.6046, 0.6047, 0.6048, 0.6049, 0.605, 0.6051, 0.6052, 0.6053, 0.6054, 0.6055, 0.6056, 0.6057, 0.6058, 0.6059, 0.606, 0.6061, 0.6062, 0.6063000000000001, 0.6064, 0.6065, 0.6066, 0.6067, 0.6068, 0.6069, 0.607, 0.6071, 0.6072, 0.6073, 0.6074, 0.6075, 0.6076, 0.6077, 0.6078, 0.6079, 0.608, 0.6081, 0.6082, 0.6083000000000001, 0.6084, 0.6085, 0.6086, 0.6087, 0.6088, 0.6089, 0.609, 0.6091, 0.6092, 0.6093, 0.6094, 0.6095, 0.6096, 0.6097, 0.6098, 0.6099, 0.61, 0.6101, 0.6102, 0.6103000000000001, 0.6104, 0.6105, 0.6106, 0.6107, 0.6108, 0.6109, 0.611, 0.6111, 0.6112, 0.6113, 0.6113999999999999, 0.6115, 0.6116, 0.6117, 0.6118, 0.6119, 0.612, 0.6121, 0.6122, 0.6123000000000001, 0.6124, 0.6125, 0.6126, 0.6127, 0.6128, 0.6129, 0.613, 0.6131, 0.6132, 0.6133, 0.6134, 0.6135, 0.6136, 0.6137, 0.6138, 0.6139, 0.614, 0.6141, 0.6142, 0.6143, 0.6144000000000001, 0.6145, 0.6146, 0.6147, 0.6148, 0.6149, 0.615, 0.6151, 0.6152, 0.6153, 0.6154, 0.6155, 0.6156, 0.6157, 0.6158, 0.6159, 0.616, 0.6161, 0.6162, 0.6163, 0.6164000000000001, 0.6165, 0.6166, 0.6167, 0.6168, 0.6169, 0.617, 0.6171, 0.6172, 0.6173, 0.6174, 0.6175, 0.6176, 0.6177, 0.6178, 0.6179, 0.618, 0.6181, 0.6182, 0.6183, 0.6184000000000001, 0.6185, 0.6186, 0.6187, 0.6188, 0.6189, 0.619, 0.6191, 0.6192, 0.6193, 0.6194, 0.6195, 0.6196, 0.6197, 0.6198, 0.6199, 0.62, 0.6201, 0.6202, 0.6203, 0.6204000000000001, 0.6205, 0.6206, 0.6207, 0.6208, 0.6209, 0.621, 0.6211, 0.6212, 0.6213, 0.6214, 0.6215, 0.6216, 0.6217, 0.6218, 0.6219, 0.622, 0.6221, 0.6222, 0.6223, 0.6224000000000001, 0.6225, 0.6226, 0.6227, 0.6228, 0.6229, 0.623, 0.6231, 0.6232, 0.6233, 0.6234, 0.6235, 0.6236, 0.6237, 0.6238, 0.6239, 0.624, 0.6241, 0.6242, 0.6243, 0.6244000000000001, 0.6245, 0.6246, 0.6247, 0.6248, 0.6249, 0.625, 0.6251, 0.6252, 0.6253, 0.6254, 0.6255, 0.6256, 0.6257, 0.6258, 0.6259, 0.626, 0.6261, 0.6262, 0.6263, 0.6264000000000001, 0.6265000000000001, 0.6266, 0.6267, 0.6268, 0.6269, 0.627, 0.6271, 0.6272, 0.6273, 0.6274, 0.6275, 0.6276, 0.6277, 0.6278, 0.6279, 0.628, 0.6281, 0.6282, 0.6283, 0.6284000000000001, 0.6285000000000001, 0.6286, 0.6287, 0.6288, 0.6289, 0.629, 0.6291, 0.6292, 0.6293, 0.6294, 0.6295, 0.6295999999999999, 0.6297, 0.6298, 0.6299, 0.63, 0.6301, 0.6302, 0.6303, 0.6304000000000001, 0.6305000000000001, 0.6306, 0.6307, 0.6308, 0.6309, 0.631, 0.6311, 0.6312, 0.6313, 0.6314, 0.6315, 0.6315999999999999, 0.6317, 0.6318, 0.6319, 0.632, 0.6321, 0.6322, 0.6323, 0.6324000000000001, 0.6325000000000001, 0.6326, 0.6327, 0.6328, 0.6329, 0.633, 0.6331, 0.6332, 0.6333, 0.6334, 0.6335, 0.6335999999999999, 0.6337, 0.6338, 0.6339, 0.634, 0.6341, 0.6342, 0.6343, 0.6344000000000001, 0.6345000000000001, 0.6346, 0.6347, 0.6348, 0.6349, 0.635, 0.6351, 0.6352, 0.6353, 0.6354, 0.6355, 0.6355999999999999, 0.6357, 0.6358, 0.6359, 0.636, 0.6361, 0.6362, 0.6363, 0.6364, 0.6365000000000001, 0.6366, 0.6367, 0.6368, 0.6369, 0.637, 0.6371, 0.6372, 0.6373, 0.6374, 0.6375, 0.6376, 0.6377, 0.6378, 0.6379, 0.638, 0.6381, 0.6382, 0.6383, 0.6384, 0.6385000000000001, 0.6386000000000001, 0.6387, 0.6388, 0.6389, 0.639, 0.6391, 0.6392, 0.6393, 0.6394, 0.6395, 0.6396, 0.6397, 0.6398, 0.6399, 0.64, 0.6401, 0.6402, 0.6403, 0.6404, 0.6405000000000001, 0.6406000000000001, 0.6407, 0.6408, 0.6409, 0.641, 0.6411, 0.6412, 0.6413, 0.6414, 0.6415, 0.6416, 0.6417, 0.6418, 0.6419, 0.642, 0.6421, 0.6422, 0.6423, 0.6424, 0.6425000000000001, 0.6426000000000001, 0.6427, 0.6428, 0.6429, 0.643, 0.6431, 0.6432, 0.6433, 0.6434, 0.6435, 0.6436, 0.6436999999999999, 0.6438, 0.6439, 0.644, 0.6441, 0.6442, 0.6443, 0.6444, 0.6445000000000001, 0.6446000000000001, 0.6447, 0.6448, 0.6449, 0.645, 0.6451, 0.6452, 0.6453, 0.6454, 0.6455, 0.6456, 0.6456999999999999, 0.6458, 0.6459, 0.646, 0.6461, 0.6462, 0.6463, 0.6464, 0.6465000000000001, 0.6466000000000001, 0.6467, 0.6468, 0.6469, 0.647, 0.6471, 0.6472, 0.6473, 0.6474, 0.6475, 0.6476, 0.6476999999999999, 0.6478, 0.6479, 0.648, 0.6481, 0.6482, 0.6483, 0.6484, 0.6485000000000001, 0.6486000000000001, 0.6487, 0.6488, 0.6489, 0.649, 0.6491, 0.6492, 0.6493, 0.6494, 0.6495, 0.6496, 0.6496999999999999, 0.6498, 0.6499, 0.65, 0.6501, 0.6502, 0.6503, 0.6504, 0.6505, 0.6506000000000001, 0.6507000000000001, 0.6508, 0.6509, 0.651, 0.6511, 0.6512, 0.6513, 0.6514, 0.6515, 0.6516, 0.6517, 0.6518, 0.6519, 0.652, 0.6521, 0.6522, 0.6523, 0.6524, 0.6525, 0.6526000000000001, 0.6527000000000001, 0.6528, 0.6529, 0.653, 0.6531, 0.6532, 0.6533, 0.6534, 0.6535, 0.6536, 0.6537, 0.6538, 0.6539, 0.654, 0.6541, 0.6542, 0.6543, 0.6544, 0.6545, 0.6546000000000001, 0.6547000000000001, 0.6548, 0.6549, 0.655, 0.6551, 0.6552, 0.6553, 0.6554, 0.6555, 0.6556, 0.6557, 0.6557999999999999, 0.6559, 0.656, 0.6561, 0.6562, 0.6563, 0.6564, 0.6565, 0.6566000000000001, 0.6567000000000001, 0.6568, 0.6569, 0.657, 0.6571, 0.6572, 0.6573, 0.6574, 0.6575, 0.6576, 0.6577, 0.6577999999999999, 0.6579, 0.658, 0.6581, 0.6582, 0.6583, 0.6584, 0.6585, 0.6586000000000001, 0.6587000000000001, 0.6588, 0.6589, 0.659, 0.6591, 0.6592, 0.6593, 0.6594, 0.6595, 0.6596, 0.6597, 0.6597999999999999, 0.6599, 0.66, 0.6601, 0.6602, 0.6603, 0.6604, 0.6605, 0.6606000000000001, 0.6607000000000001, 0.6608, 0.6609, 0.661, 0.6611, 0.6612, 0.6613, 0.6614, 0.6615, 0.6616, 0.6617, 0.6617999999999999, 0.6619, 0.662, 0.6621, 0.6622, 0.6623, 0.6624, 0.6625, 0.6626, 0.6627000000000001, 0.6628000000000001, 0.6629, 0.663, 0.6631, 0.6632, 0.6633, 0.6634, 0.6635, 0.6636, 0.6637, 0.6638, 0.6639, 0.664, 0.6641, 0.6642, 0.6643, 0.6644, 0.6645, 0.6646, 0.6647000000000001, 0.6648000000000001, 0.6649, 0.665, 0.6651, 0.6652, 0.6653, 0.6654, 0.6655, 0.6656, 0.6657, 0.6658, 0.6659, 0.666, 0.6661, 0.6662, 0.6663, 0.6664, 0.6665, 0.6666, 0.6667000000000001, 0.6668000000000001, 0.6669, 0.667, 0.6671, 0.6672, 0.6673, 0.6674, 0.6675, 0.6676, 0.6677, 0.6678, 0.6679, 0.668, 0.6681, 0.6682, 0.6683, 0.6684, 0.6685, 0.6686, 0.6687000000000001, 0.6688000000000001, 0.6689, 0.669, 0.6691, 0.6692, 0.6693, 0.6694, 0.6695, 0.6696, 0.6697, 0.6698, 0.6698999999999999, 0.67, 0.6701, 0.6702, 0.6703, 0.6704, 0.6705, 0.6706, 0.6707000000000001, 0.6708000000000001, 0.6709, 0.671, 0.6711, 0.6712, 0.6713, 0.6714, 0.6715, 0.6716, 0.6717, 0.6718, 0.6718999999999999, 0.672, 0.6721, 0.6722, 0.6723, 0.6724, 0.6725, 0.6726, 0.6727000000000001, 0.6728000000000001, 0.6729, 0.673, 0.6731, 0.6732, 0.6733, 0.6734, 0.6735, 0.6736, 0.6737, 0.6738, 0.6738999999999999, 0.674, 0.6741, 0.6742, 0.6743, 0.6744, 0.6745, 0.6746, 0.6747000000000001, 0.6748000000000001, 0.6749, 0.675, 0.6751, 0.6752, 0.6753, 0.6754, 0.6755, 0.6756, 0.6757, 0.6758, 0.6759, 0.676, 0.6761, 0.6762, 0.6763, 0.6764, 0.6765, 0.6766, 0.6767, 0.6768000000000001, 0.6769000000000001, 0.677, 0.6771, 0.6772, 0.6773, 0.6774, 0.6775, 0.6776, 0.6777, 0.6778, 0.6779, 0.678, 0.6781, 0.6782, 0.6783, 0.6784, 0.6785, 0.6786, 0.6787, 0.6788000000000001, 0.6789000000000001, 0.679, 0.6791, 0.6792, 0.6793, 0.6794, 0.6795, 0.6796, 0.6797, 0.6798, 0.6799, 0.68, 0.6801, 0.6802, 0.6803, 0.6804, 0.6805, 0.6806, 0.6807, 0.6808000000000001, 0.6809000000000001, 0.681, 0.6811, 0.6812, 0.6813, 0.6814, 0.6815, 0.6816, 0.6817, 0.6818, 0.6819, 0.6819999999999999, 0.6821, 0.6822, 0.6823, 0.6824, 0.6825, 0.6826, 0.6827, 0.6828000000000001, 0.6829000000000001, 0.683, 0.6831, 0.6832, 0.6833, 0.6834, 0.6835, 0.6836, 0.6837, 0.6838, 0.6839, 0.6839999999999999, 0.6841, 0.6842, 0.6843, 0.6844, 0.6845, 0.6846, 0.6847, 0.6848000000000001, 0.6849000000000001, 0.685, 0.6851, 0.6852, 0.6853, 0.6854, 0.6855, 0.6856, 0.6857, 0.6858, 0.6859, 0.6859999999999999, 0.6861, 0.6862, 0.6863, 0.6864, 0.6865, 0.6866, 0.6867, 0.6868000000000001, 0.6869000000000001, 0.687, 0.6871, 0.6872, 0.6873, 0.6874, 0.6875, 0.6876, 0.6877, 0.6878, 0.6879, 0.688, 0.6881, 0.6882, 0.6883, 0.6884, 0.6885, 0.6886, 0.6887, 0.6888, 0.6889000000000001, 0.6890000000000001, 0.6891, 0.6892, 0.6893, 0.6894, 0.6895, 0.6896, 0.6897, 0.6898, 0.6899, 0.69, 0.6901, 0.6902, 0.6903, 0.6904, 0.6905, 0.6906, 0.6907, 0.6908, 0.6909000000000001, 0.6910000000000001, 0.6911, 0.6912, 0.6913, 0.6914, 0.6915, 0.6916, 0.6917, 0.6918, 0.6919, 0.692, 0.6921, 0.6922, 0.6923, 0.6924, 0.6925, 0.6926, 0.6927, 0.6928, 0.6929000000000001, 0.6930000000000001, 0.6931, 0.6932, 0.6933, 0.6934, 0.6935, 0.6936, 0.6937, 0.6938, 0.6939, 0.694, 0.6941, 0.6942, 0.6943, 0.6944, 0.6945, 0.6946, 0.6947, 0.6948, 0.6949000000000001, 0.6950000000000001, 0.6951, 0.6952, 0.6953, 0.6954, 0.6955, 0.6956, 0.6957, 0.6958, 0.6959, 0.696, 0.6960999999999999, 0.6962, 0.6963, 0.6964, 0.6965, 0.6966, 0.6967, 0.6968, 0.6969000000000001, 0.6970000000000001, 0.6971, 0.6972, 0.6973, 0.6974, 0.6975, 0.6976, 0.6977, 0.6978, 0.6979, 0.698, 0.6980999999999999, 0.6982, 0.6983, 0.6984, 0.6985, 0.6986, 0.6987, 0.6988, 0.6989000000000001, 0.6990000000000001, 0.6991, 0.6992, 0.6993, 0.6994, 0.6995, 0.6996, 0.6997, 0.6998, 0.6999, 0.7, 0.7001, 0.7002, 0.7003, 0.7004, 0.7005, 0.7006, 0.7007, 0.7008, 0.7009000000000001, 0.7010000000000001, 0.7011000000000001, 0.7012, 0.7013, 0.7014, 0.7015, 0.7016, 0.7017, 0.7018, 0.7019, 0.702, 0.7021, 0.7022, 0.7023, 0.7024, 0.7025, 0.7026, 0.7027, 0.7028, 0.7029, 0.7030000000000001, 0.7031000000000001, 0.7032, 0.7033, 0.7034, 0.7035, 0.7036, 0.7037, 0.7038, 0.7039, 0.704, 0.7041, 0.7042, 0.7043, 0.7044, 0.7045, 0.7046, 0.7047, 0.7048, 0.7049, 0.7050000000000001, 0.7051000000000001, 0.7052, 0.7053, 0.7054, 0.7055, 0.7056, 0.7057, 0.7058, 0.7059, 0.706, 0.7061, 0.7062, 0.7063, 0.7064, 0.7065, 0.7066, 0.7067, 0.7068, 0.7069, 0.7070000000000001, 0.7071000000000001, 0.7072, 0.7073, 0.7074, 0.7075, 0.7076, 0.7077, 0.7078, 0.7079, 0.708, 0.7081, 0.7081999999999999, 0.7083, 0.7084, 0.7085, 0.7086, 0.7087, 0.7088, 0.7089, 0.7090000000000001, 0.7091000000000001, 0.7092, 0.7093, 0.7094, 0.7095, 0.7096, 0.7097, 0.7098, 0.7099, 0.71, 0.7101, 0.7101999999999999, 0.7103, 0.7104, 0.7105, 0.7106, 0.7107, 0.7108, 0.7109, 0.7110000000000001, 0.7111000000000001, 0.7112, 0.7113, 0.7114, 0.7115, 0.7116, 0.7117, 0.7118, 0.7119, 0.712, 0.7121, 0.7121999999999999, 0.7123, 0.7124, 0.7125, 0.7126, 0.7127, 0.7128, 0.7129, 0.7130000000000001, 0.7131000000000001, 0.7132000000000001, 0.7133, 0.7134, 0.7135, 0.7136, 0.7137, 0.7138, 0.7139, 0.714, 0.7141, 0.7142, 0.7143, 0.7144, 0.7145, 0.7146, 0.7147, 0.7148, 0.7149, 0.715, 0.7151000000000001, 0.7152000000000001, 0.7153, 0.7154, 0.7155, 0.7156, 0.7157, 0.7158, 0.7159, 0.716, 0.7161, 0.7162, 0.7163, 0.7164, 0.7165, 0.7166, 0.7167, 0.7168, 0.7169, 0.717, 0.7171000000000001, 0.7172000000000001, 0.7173, 0.7174, 0.7175, 0.7176, 0.7177, 0.7178, 0.7179, 0.718, 0.7181, 0.7182, 0.7183, 0.7184, 0.7185, 0.7186, 0.7187, 0.7188, 0.7189, 0.719, 0.7191000000000001, 0.7192000000000001, 0.7193, 0.7194, 0.7195, 0.7196, 0.7197, 0.7198, 0.7199, 0.72, 0.7201, 0.7202, 0.7203, 0.7204, 0.7205, 0.7206, 0.7207, 0.7208, 0.7209, 0.721, 0.7211000000000001, 0.7212000000000001, 0.7213, 0.7214, 0.7215, 0.7216, 0.7217, 0.7218, 0.7219, 0.722, 0.7221, 0.7222, 0.7222999999999999, 0.7224, 0.7225, 0.7226, 0.7227, 0.7228, 0.7229, 0.723, 0.7231000000000001, 0.7232000000000001, 0.7233, 0.7234, 0.7235, 0.7236, 0.7237, 0.7238, 0.7239, 0.724, 0.7241, 0.7242, 0.7242999999999999, 0.7244, 0.7245, 0.7246, 0.7247, 0.7248, 0.7249, 0.725, 0.7251000000000001, 0.7252000000000001, 0.7253000000000001, 0.7254, 0.7255, 0.7256, 0.7257, 0.7258, 0.7259, 0.726, 0.7261, 0.7262, 0.7263, 0.7264, 0.7265, 0.7266, 0.7267, 0.7268, 0.7269, 0.727, 0.7271000000000001, 0.7272000000000001, 0.7273000000000001, 0.7274, 0.7275, 0.7276, 0.7277, 0.7278, 0.7279, 0.728, 0.7281, 0.7282, 0.7283, 0.7284, 0.7285, 0.7286, 0.7287, 0.7288, 0.7289, 0.729, 0.7291, 0.7292000000000001, 0.7293000000000001, 0.7294, 0.7295, 0.7296, 0.7297, 0.7298, 0.7299, 0.73, 0.7301, 0.7302, 0.7303, 0.7304, 0.7305, 0.7306, 0.7307, 0.7308, 0.7309, 0.731, 0.7311, 0.7312000000000001, 0.7313000000000001, 0.7314, 0.7315, 0.7316, 0.7317, 0.7318, 0.7319, 0.732, 0.7321, 0.7322, 0.7323, 0.7324, 0.7325, 0.7326, 0.7327, 0.7328, 0.7329, 0.733, 0.7331, 0.7332000000000001, 0.7333000000000001, 0.7334, 0.7335, 0.7336, 0.7337, 0.7338, 0.7339, 0.734, 0.7341, 0.7342, 0.7343, 0.7344, 0.7345, 0.7346, 0.7347, 0.7348, 0.7349, 0.735, 0.7351, 0.7352000000000001, 0.7353000000000001, 0.7354, 0.7355, 0.7356, 0.7357, 0.7358, 0.7359, 0.736, 0.7361, 0.7362, 0.7363, 0.7363999999999999, 0.7365, 0.7366, 0.7367, 0.7368, 0.7369, 0.737, 0.7371, 0.7372000000000001, 0.7373000000000001, 0.7374, 0.7375, 0.7376, 0.7377, 0.7378, 0.7379, 0.738, 0.7381, 0.7382, 0.7383, 0.7384, 0.7385, 0.7386, 0.7387, 0.7388, 0.7389, 0.739, 0.7391, 0.7392000000000001, 0.7393000000000001, 0.7394000000000001, 0.7395, 0.7396, 0.7397, 0.7398, 0.7399, 0.74, 0.7401, 0.7402, 0.7403, 0.7404, 0.7405, 0.7406, 0.7407, 0.7408, 0.7409, 0.741, 0.7411, 0.7412, 0.7413000000000001, 0.7414000000000001, 0.7415, 0.7416, 0.7417, 0.7418, 0.7419, 0.742, 0.7421, 0.7422, 0.7423, 0.7424, 0.7425, 0.7426, 0.7427, 0.7428, 0.7429, 0.743, 0.7431, 0.7432, 0.7433000000000001, 0.7434000000000001, 0.7435, 0.7436, 0.7437, 0.7438, 0.7439, 0.744, 0.7441, 0.7442, 0.7443, 0.7444, 0.7445, 0.7446, 0.7447, 0.7448, 0.7449, 0.745, 0.7451, 0.7452, 0.7453000000000001, 0.7454000000000001, 0.7455, 0.7456, 0.7457, 0.7458, 0.7459, 0.746, 0.7461, 0.7462, 0.7463, 0.7464, 0.7465, 0.7466, 0.7467, 0.7468, 0.7469, 0.747, 0.7471, 0.7472, 0.7473000000000001, 0.7474000000000001, 0.7475, 0.7476, 0.7477, 0.7478, 0.7479, 0.748, 0.7481, 0.7482, 0.7483, 0.7484, 0.7484999999999999, 0.7486, 0.7487, 0.7488, 0.7489, 0.749, 0.7491, 0.7492, 0.7493000000000001, 0.7494000000000001, 0.7495, 0.7496, 0.7497, 0.7498, 0.7499, 0.75, 0.7501, 0.7502, 0.7503, 0.7504, 0.7505, 0.7505999999999999, 0.7507, 0.7508, 0.7509, 0.751, 0.7511, 0.7512000000000001, 0.7513000000000001, 0.7514000000000001, 0.7515000000000001, 0.7516, 0.7517, 0.7518, 0.7519, 0.752, 0.7521, 0.7522, 0.7523, 0.7524, 0.7525, 0.7525999999999999, 0.7527, 0.7528, 0.7529, 0.753, 0.7531, 0.7532000000000001, 0.7533000000000001, 0.7534000000000001, 0.7535000000000001, 0.7536, 0.7537, 0.7538, 0.7539, 0.754, 0.7541, 0.7542, 0.7543, 0.7544, 0.7545, 0.7545999999999999, 0.7547, 0.7548, 0.7549, 0.755, 0.7551, 0.7552000000000001, 0.7553000000000001, 0.7554000000000001, 0.7555000000000001, 0.7556, 0.7557, 0.7558, 0.7559, 0.756, 0.7561, 0.7562, 0.7563, 0.7564, 0.7565, 0.7565999999999999, 0.7567, 0.7568, 0.7569, 0.757, 0.7571, 0.7572000000000001, 0.7573000000000001, 0.7574000000000001, 0.7575000000000001, 0.7576, 0.7577, 0.7578, 0.7579, 0.758, 0.7581, 0.7582, 0.7583, 0.7584, 0.7585, 0.7585999999999999, 0.7586999999999999, 0.7588, 0.7589, 0.759, 0.7591, 0.7592, 0.7593000000000001, 0.7594000000000001, 0.7595000000000001, 0.7596, 0.7597, 0.7598, 0.7599, 0.76, 0.7601, 0.7602, 0.7603, 0.7604, 0.7605, 0.7605999999999999, 0.7606999999999999, 0.7608, 0.7609, 0.761, 0.7611, 0.7612, 0.7613000000000001, 0.7614000000000001, 0.7615000000000001, 0.7616, 0.7617, 0.7618, 0.7619, 0.762, 0.7621, 0.7622, 0.7623, 0.7624, 0.7625, 0.7626, 0.7626999999999999, 0.7628, 0.7629, 0.763, 0.7631, 0.7632, 0.7633000000000001, 0.7634000000000001, 0.7635000000000001, 0.7636000000000001, 0.7637, 0.7638, 0.7639, 0.764, 0.7641, 0.7642, 0.7643, 0.7644, 0.7645, 0.7646, 0.7646999999999999, 0.7648, 0.7649, 0.765, 0.7651, 0.7652, 0.7653000000000001, 0.7654000000000001, 0.7655000000000001, 0.7656000000000001, 0.7657, 0.7658, 0.7659, 0.766, 0.7661, 0.7662, 0.7663, 0.7664, 0.7665, 0.7666, 0.7666999999999999, 0.7668, 0.7669, 0.767, 0.7671, 0.7672, 0.7673000000000001, 0.7674000000000001, 0.7675000000000001, 0.7676000000000001, 0.7677, 0.7678, 0.7679, 0.768, 0.7681, 0.7682, 0.7683, 0.7684, 0.7685, 0.7686, 0.7686999999999999, 0.7688, 0.7689, 0.769, 0.7691, 0.7692, 0.7693000000000001, 0.7694000000000001, 0.7695000000000001, 0.7696000000000001, 0.7697, 0.7698, 0.7699, 0.77, 0.7701, 0.7702, 0.7703, 0.7704, 0.7705, 0.7706, 0.7706999999999999, 0.7708, 0.7709, 0.771, 0.7711, 0.7712, 0.7713, 0.7714000000000001, 0.7715000000000001, 0.7716000000000001, 0.7717, 0.7718, 0.7719, 0.772, 0.7721, 0.7722, 0.7723, 0.7724, 0.7725, 0.7726, 0.7726999999999999, 0.7727999999999999, 0.7729, 0.773, 0.7731, 0.7732, 0.7733, 0.7734000000000001, 0.7735000000000001, 0.7736000000000001, 0.7737, 0.7738, 0.7739, 0.774, 0.7741, 0.7742, 0.7743, 0.7744, 0.7745, 0.7746, 0.7746999999999999, 0.7747999999999999, 0.7749, 0.775, 0.7751, 0.7752, 0.7753, 0.7754000000000001, 0.7755000000000001, 0.7756000000000001, 0.7757000000000001, 0.7758, 0.7759, 0.776, 0.7761, 0.7762, 0.7763, 0.7764, 0.7765, 0.7766, 0.7767, 0.7767999999999999, 0.7769, 0.777, 0.7771, 0.7772, 0.7773, 0.7774000000000001, 0.7775000000000001, 0.7776000000000001, 0.7777000000000001, 0.7778, 0.7779, 0.778, 0.7781, 0.7782, 0.7783, 0.7784, 0.7785, 0.7786, 0.7787, 0.7787999999999999, 0.7789, 0.779, 0.7791, 0.7792, 0.7793, 0.7794000000000001, 0.7795000000000001, 0.7796000000000001, 0.7797000000000001, 0.7798, 0.7799, 0.78, 0.7801, 0.7802, 0.7803, 0.7804, 0.7805, 0.7806, 0.7807, 0.7807999999999999, 0.7809, 0.781, 0.7811, 0.7812, 0.7813, 0.7814000000000001, 0.7815000000000001, 0.7816000000000001, 0.7817000000000001, 0.7818, 0.7819, 0.782, 0.7821, 0.7822, 0.7823, 0.7824, 0.7825, 0.7826, 0.7827, 0.7827999999999999, 0.7829, 0.783, 0.7831, 0.7832, 0.7833, 0.7834000000000001, 0.7835000000000001, 0.7836000000000001, 0.7837000000000001, 0.7838, 0.7839, 0.784, 0.7841, 0.7842, 0.7843, 0.7844, 0.7845, 0.7846, 0.7847, 0.7847999999999999, 0.7848999999999999, 0.785, 0.7851, 0.7852, 0.7853, 0.7854, 0.7855000000000001, 0.7856000000000001, 0.7857000000000001, 0.7858, 0.7859, 0.786, 0.7861, 0.7862, 0.7863, 0.7864, 0.7865, 0.7866, 0.7867, 0.7867999999999999, 0.7868999999999999, 0.787, 0.7871, 0.7872, 0.7873, 0.7874, 0.7875000000000001, 0.7876000000000001, 0.7877000000000001, 0.7878000000000001, 0.7879, 0.788, 0.7881, 0.7882, 0.7883, 0.7884, 0.7885, 0.7886, 0.7887, 0.7888, 0.7888999999999999, 0.789, 0.7891, 0.7892, 0.7893, 0.7894, 0.7895000000000001, 0.7896000000000001, 0.7897000000000001, 0.7898000000000001, 0.7899, 0.79, 0.7901, 0.7902, 0.7903, 0.7904, 0.7905, 0.7906, 0.7907, 0.7908, 0.7908999999999999, 0.791, 0.7911, 0.7912, 0.7913, 0.7914, 0.7915000000000001, 0.7916000000000001, 0.7917000000000001, 0.7918000000000001, 0.7919, 0.792, 0.7921, 0.7922, 0.7923, 0.7924, 0.7925, 0.7926, 0.7927, 0.7928, 0.7928999999999999, 0.793, 0.7931, 0.7932, 0.7933, 0.7934, 0.7935000000000001, 0.7936000000000001, 0.7937000000000001, 0.7938000000000001, 0.7939, 0.794, 0.7941, 0.7942, 0.7943, 0.7944, 0.7945, 0.7946, 0.7947, 0.7948, 0.7948999999999999, 0.795, 0.7951, 0.7952, 0.7953, 0.7954, 0.7955000000000001, 0.7956000000000001, 0.7957000000000001, 0.7958000000000001, 0.7959, 0.796, 0.7961, 0.7962, 0.7963, 0.7964, 0.7965, 0.7966, 0.7967, 0.7968, 0.7968999999999999, 0.797, 0.7971, 0.7972, 0.7973, 0.7974, 0.7975, 0.7976000000000001, 0.7977000000000001, 0.7978000000000001, 0.7979, 0.798, 0.7981, 0.7982, 0.7983, 0.7984, 0.7985, 0.7986, 0.7987, 0.7988, 0.7988999999999999, 0.7989999999999999, 0.7991, 0.7992, 0.7993, 0.7994, 0.7995, 0.7996000000000001, 0.7997000000000001, 0.7998000000000001, 0.7999, 0.8, 0.8001, 0.8002, 0.8003, 0.8004, 0.8005, 0.8006, 0.8007, 0.8008, 0.8009, 0.8009999999999999, 0.8011, 0.8012, 0.8013, 0.8014, 0.8015, 0.8016000000000001, 0.8017000000000001, 0.8018000000000001, 0.8019000000000001, 0.802, 0.8021, 0.8022, 0.8023, 0.8024, 0.8025, 0.8026, 0.8027, 0.8028, 0.8029, 0.8029999999999999, 0.8031, 0.8032, 0.8033, 0.8034, 0.8035, 0.8036000000000001, 0.8037000000000001, 0.8038000000000001, 0.8039000000000001, 0.804, 0.8041, 0.8042, 0.8043, 0.8044, 0.8045, 0.8046, 0.8047, 0.8048, 0.8049, 0.8049999999999999, 0.8051, 0.8052, 0.8053, 0.8054, 0.8055, 0.8056000000000001, 0.8057000000000001, 0.8058000000000001, 0.8059000000000001, 0.806, 0.8061, 0.8062, 0.8063, 0.8064, 0.8065, 0.8066, 0.8067, 0.8068, 0.8069, 0.8069999999999999, 0.8071, 0.8072, 0.8073, 0.8074, 0.8075, 0.8076000000000001, 0.8077000000000001, 0.8078000000000001, 0.8079000000000001, 0.808, 0.8081, 0.8082, 0.8083, 0.8084, 0.8085, 0.8086, 0.8087, 0.8088, 0.8089, 0.8089999999999999, 0.8091, 0.8092, 0.8093, 0.8094, 0.8095, 0.8096000000000001, 0.8097000000000001, 0.8098000000000001, 0.8099000000000001, 0.81, 0.8101, 0.8102, 0.8103, 0.8104, 0.8105, 0.8106, 0.8107, 0.8108, 0.8109, 0.8109999999999999, 0.8110999999999999, 0.8112, 0.8113, 0.8114, 0.8115, 0.8116, 0.8117000000000001, 0.8118000000000001, 0.8119000000000001, 0.812, 0.8121, 0.8122, 0.8123, 0.8124, 0.8125, 0.8126, 0.8127, 0.8128, 0.8129, 0.813, 0.8130999999999999, 0.8132, 0.8133, 0.8134, 0.8135, 0.8136, 0.8137000000000001, 0.8138000000000001, 0.8139000000000001, 0.8140000000000001, 0.8141, 0.8142, 0.8143, 0.8144, 0.8145, 0.8146, 0.8147, 0.8148, 0.8149, 0.815, 0.8150999999999999, 0.8152, 0.8153, 0.8154, 0.8155, 0.8156, 0.8157000000000001, 0.8158000000000001, 0.8159000000000001, 0.8160000000000001, 0.8161, 0.8162, 0.8163, 0.8164, 0.8165, 0.8166, 0.8167, 0.8168, 0.8169, 0.817, 0.8170999999999999, 0.8172, 0.8173, 0.8174, 0.8175, 0.8176, 0.8177000000000001, 0.8178000000000001, 0.8179000000000001, 0.8180000000000001, 0.8181, 0.8182, 0.8183, 0.8184, 0.8185, 0.8186, 0.8187, 0.8188, 0.8189, 0.819, 0.8190999999999999, 0.8192, 0.8193, 0.8194, 0.8195, 0.8196, 0.8197000000000001, 0.8198000000000001, 0.8199000000000001, 0.8200000000000001, 0.8201, 0.8202, 0.8203, 0.8204, 0.8205, 0.8206, 0.8207, 0.8208, 0.8209, 0.821, 0.8210999999999999, 0.8212, 0.8213, 0.8214, 0.8215, 0.8216, 0.8217000000000001, 0.8218000000000001, 0.8219000000000001, 0.8220000000000001, 0.8221, 0.8222, 0.8223, 0.8224, 0.8225, 0.8226, 0.8227, 0.8228, 0.8229, 0.823, 0.8230999999999999, 0.8232, 0.8233, 0.8234, 0.8235, 0.8236, 0.8237000000000001, 0.8238000000000001, 0.8239000000000001, 0.8240000000000001, 0.8241, 0.8242, 0.8243, 0.8244, 0.8245, 0.8246, 0.8247, 0.8248, 0.8249, 0.825, 0.8251, 0.8251999999999999, 0.8253, 0.8254, 0.8255, 0.8256, 0.8257, 0.8258000000000001, 0.8259000000000001, 0.8260000000000001, 0.8261000000000001, 0.8262, 0.8263, 0.8264, 0.8265, 0.8266, 0.8267, 0.8268, 0.8269, 0.827, 0.8271, 0.8271999999999999, 0.8273, 0.8274, 0.8275, 0.8276, 0.8277, 0.8278000000000001, 0.8279000000000001, 0.8280000000000001, 0.8281000000000001, 0.8282, 0.8283, 0.8284, 0.8285, 0.8286, 0.8287, 0.8288, 0.8289, 0.829, 0.8291, 0.8291999999999999, 0.8293, 0.8294, 0.8295, 0.8296, 0.8297, 0.8298000000000001, 0.8299000000000001, 0.8300000000000001, 0.8301000000000001, 0.8302, 0.8303, 0.8304, 0.8305, 0.8306, 0.8307, 0.8308, 0.8309, 0.831, 0.8311, 0.8311999999999999, 0.8313, 0.8314, 0.8315, 0.8316, 0.8317, 0.8318000000000001, 0.8319000000000001, 0.8320000000000001, 0.8321000000000001, 0.8322, 0.8323, 0.8324, 0.8325, 0.8326, 0.8327, 0.8328, 0.8329, 0.833, 0.8331, 0.8331999999999999, 0.8333, 0.8334, 0.8335, 0.8336, 0.8337, 0.8338000000000001, 0.8339000000000001, 0.8340000000000001, 0.8341000000000001, 0.8342, 0.8343, 0.8344, 0.8345, 0.8346, 0.8347, 0.8348, 0.8349, 0.835, 0.8351, 0.8351999999999999, 0.8353, 0.8354, 0.8355, 0.8356, 0.8357, 0.8358000000000001, 0.8359000000000001, 0.8360000000000001, 0.8361000000000001, 0.8362, 0.8363, 0.8364, 0.8365, 0.8366, 0.8367, 0.8368, 0.8369, 0.837, 0.8371, 0.8371999999999999, 0.8372999999999999, 0.8374, 0.8375, 0.8376, 0.8377, 0.8378, 0.8379000000000001, 0.8380000000000001, 0.8381000000000001, 0.8382000000000001, 0.8383, 0.8384, 0.8385, 0.8386, 0.8387, 0.8388, 0.8389, 0.839, 0.8391, 0.8392, 0.8392999999999999, 0.8394, 0.8395, 0.8396, 0.8397, 0.8398, 0.8399000000000001, 0.8400000000000001, 0.8401000000000001, 0.8402000000000001, 0.8403, 0.8404, 0.8405, 0.8406, 0.8407, 0.8408, 0.8409, 0.841, 0.8411, 0.8412, 0.8412999999999999, 0.8414, 0.8415, 0.8416, 0.8417, 0.8418, 0.8419000000000001, 0.8420000000000001, 0.8421000000000001, 0.8422000000000001, 0.8423, 0.8424, 0.8425, 0.8426, 0.8427, 0.8428, 0.8429, 0.843, 0.8431, 0.8432, 0.8432999999999999, 0.8434, 0.8435, 0.8436, 0.8437, 0.8438, 0.8439000000000001, 0.8440000000000001, 0.8441000000000001, 0.8442000000000001, 0.8443, 0.8444, 0.8445, 0.8446, 0.8447, 0.8448, 0.8449, 0.845, 0.8451, 0.8452, 0.8452999999999999, 0.8454, 0.8455, 0.8456, 0.8457, 0.8458, 0.8459000000000001, 0.8460000000000001, 0.8461000000000001, 0.8462000000000001, 0.8463, 0.8464, 0.8465, 0.8466, 0.8467, 0.8468, 0.8469, 0.847, 0.8471, 0.8472, 0.8472999999999999, 0.8474, 0.8475, 0.8476, 0.8477, 0.8478, 0.8479000000000001, 0.8480000000000001, 0.8481000000000001, 0.8482000000000001, 0.8483, 0.8484, 0.8485, 0.8486, 0.8487, 0.8488, 0.8489, 0.849, 0.8491, 0.8492, 0.8492999999999999, 0.8494, 0.8495, 0.8496, 0.8497, 0.8498, 0.8499000000000001, 0.8500000000000001, 0.8501000000000001, 0.8502000000000001, 0.8503000000000001, 0.8504, 0.8505, 0.8506, 0.8507, 0.8508, 0.8509, 0.851, 0.8511, 0.8512, 0.8513, 0.8513999999999999, 0.8515, 0.8516, 0.8517, 0.8518, 0.8519, 0.8520000000000001, 0.8521000000000001, 0.8522000000000001, 0.8523000000000001, 0.8524, 0.8525, 0.8526, 0.8527, 0.8528, 0.8529, 0.853, 0.8531, 0.8532, 0.8533, 0.8533999999999999, 0.8535, 0.8536, 0.8537, 0.8538, 0.8539, 0.8540000000000001, 0.8541000000000001, 0.8542000000000001, 0.8543000000000001, 0.8544, 0.8545, 0.8546, 0.8547, 0.8548, 0.8549, 0.855, 0.8551, 0.8552, 0.8553, 0.8553999999999999, 0.8555, 0.8556, 0.8557, 0.8558, 0.8559, 0.8560000000000001, 0.8561000000000001, 0.8562000000000001, 0.8563000000000001, 0.8564, 0.8565, 0.8566, 0.8567, 0.8568, 0.8569, 0.857, 0.8571, 0.8572, 0.8573, 0.8573999999999999, 0.8575, 0.8576, 0.8577, 0.8578, 0.8579, 0.8580000000000001, 0.8581000000000001, 0.8582000000000001, 0.8583000000000001, 0.8584, 0.8585, 0.8586, 0.8587, 0.8588, 0.8589, 0.859, 0.8591, 0.8592, 0.8593, 0.8593999999999999, 0.8595, 0.8596, 0.8597, 0.8598, 0.8599, 0.8600000000000001, 0.8601000000000001, 0.8602000000000001, 0.8603000000000001, 0.8604, 0.8605, 0.8606, 0.8607, 0.8608, 0.8609, 0.861, 0.8611, 0.8612, 0.8613, 0.8613999999999999, 0.8615, 0.8616, 0.8617, 0.8618, 0.8619, 0.8620000000000001, 0.8621000000000001, 0.8622000000000001, 0.8623000000000001, 0.8624, 0.8625, 0.8626, 0.8627, 0.8628, 0.8629, 0.863, 0.8631, 0.8632, 0.8633, 0.8634, 0.8634999999999999, 0.8636, 0.8637, 0.8638, 0.8639, 0.864, 0.8641000000000001, 0.8642000000000001, 0.8643000000000001, 0.8644000000000001, 0.8645, 0.8646, 0.8647, 0.8648, 0.8649, 0.865, 0.8651, 0.8652, 0.8653, 0.8654, 0.8654999999999999, 0.8656, 0.8657, 0.8658, 0.8659, 0.866, 0.8661000000000001, 0.8662000000000001, 0.8663000000000001, 0.8664000000000001, 0.8665, 0.8666, 0.8667, 0.8668, 0.8669, 0.867, 0.8671, 0.8672, 0.8673, 0.8674, 0.8674999999999999, 0.8676, 0.8677, 0.8678, 0.8679, 0.868, 0.8681000000000001, 0.8682000000000001, 0.8683000000000001, 0.8684000000000001, 0.8685, 0.8686, 0.8687, 0.8688, 0.8689, 0.869, 0.8691, 0.8692, 0.8693, 0.8694, 0.8694999999999999, 0.8696, 0.8697, 0.8698, 0.8699, 0.87, 0.8701000000000001, 0.8702000000000001, 0.8703000000000001, 0.8704000000000001, 0.8705, 0.8706, 0.8707, 0.8708, 0.8709, 0.871, 0.8711, 0.8712, 0.8713, 0.8714, 0.8714999999999999, 0.8716, 0.8717, 0.8718, 0.8719, 0.872, 0.8721000000000001, 0.8722000000000001, 0.8723000000000001, 0.8724000000000001, 0.8725, 0.8726, 0.8727, 0.8728, 0.8729, 0.873, 0.8731, 0.8732, 0.8733, 0.8734, 0.8734999999999999, 0.8736, 0.8737, 0.8738, 0.8739, 0.874, 0.8741000000000001, 0.8742000000000001, 0.8743000000000001, 0.8744000000000001, 0.8745, 0.8746, 0.8747, 0.8748, 0.8749, 0.875, 0.8751, 0.8752, 0.8753, 0.8754, 0.8755, 0.8756, 0.8757, 0.8758, 0.8759, 0.876, 0.8761000000000001, 0.8762000000000001, 0.8763000000000001, 0.8764000000000001, 0.8765000000000001, 0.8766, 0.8767, 0.8768, 0.8769, 0.877, 0.8771, 0.8772, 0.8773, 0.8774, 0.8775, 0.8775999999999999, 0.8777, 0.8778, 0.8779, 0.878, 0.8781, 0.8782000000000001, 0.8783000000000001, 0.8784000000000001, 0.8785000000000001, 0.8786, 0.8787, 0.8788, 0.8789, 0.879, 0.8791, 0.8792, 0.8793, 0.8794, 0.8795, 0.8795999999999999, 0.8797, 0.8798, 0.8799, 0.88, 0.8801, 0.8802000000000001, 0.8803000000000001, 0.8804000000000001, 0.8805000000000001, 0.8806, 0.8807, 0.8808, 0.8809, 0.881, 0.8811, 0.8812, 0.8813, 0.8814, 0.8815, 0.8815999999999999, 0.8817, 0.8818, 0.8819, 0.882, 0.8821, 0.8822000000000001, 0.8823000000000001, 0.8824000000000001, 0.8825000000000001, 0.8826, 0.8827, 0.8828, 0.8829, 0.883, 0.8831, 0.8832, 0.8833, 0.8834, 0.8835, 0.8835999999999999, 0.8837, 0.8838, 0.8839, 0.884, 0.8841, 0.8842000000000001, 0.8843000000000001, 0.8844000000000001, 0.8845000000000001, 0.8846, 0.8847, 0.8848, 0.8849, 0.885, 0.8851, 0.8852, 0.8853, 0.8854, 0.8855, 0.8855999999999999, 0.8857, 0.8858, 0.8859, 0.886, 0.8861, 0.8862000000000001, 0.8863000000000001, 0.8864000000000001, 0.8865000000000001, 0.8866, 0.8867, 0.8868, 0.8869, 0.887, 0.8871, 0.8872, 0.8873, 0.8874, 0.8875, 0.8876, 0.8877, 0.8878, 0.8879, 0.888, 0.8881, 0.8882000000000001, 0.8883000000000001, 0.8884000000000001, 0.8885000000000001, 0.8886000000000001, 0.8887, 0.8888, 0.8889, 0.889, 0.8891, 0.8892, 0.8893, 0.8894, 0.8895, 0.8896, 0.8897, 0.8898, 0.8899, 0.89, 0.8901, 0.8902, 0.8903000000000001, 0.8904000000000001, 0.8905000000000001, 0.8906000000000001, 0.8907, 0.8908, 0.8909, 0.891, 0.8911, 0.8912, 0.8913, 0.8914, 0.8915, 0.8916, 0.8916999999999999, 0.8918, 0.8919, 0.892, 0.8921, 0.8922, 0.8923000000000001, 0.8924000000000001, 0.8925000000000001, 0.8926000000000001, 0.8927, 0.8928, 0.8929, 0.893, 0.8931, 0.8932, 0.8933, 0.8934, 0.8935, 0.8936, 0.8936999999999999, 0.8938, 0.8939, 0.894, 0.8941, 0.8942, 0.8943000000000001, 0.8944000000000001, 0.8945000000000001, 0.8946000000000001, 0.8947, 0.8948, 0.8949, 0.895, 0.8951, 0.8952, 0.8953, 0.8954, 0.8955, 0.8956, 0.8956999999999999, 0.8958, 0.8959, 0.896, 0.8961, 0.8962, 0.8963000000000001, 0.8964000000000001, 0.8965000000000001, 0.8966000000000001, 0.8967, 0.8968, 0.8969, 0.897, 0.8971, 0.8972, 0.8973, 0.8974, 0.8975, 0.8976, 0.8976999999999999, 0.8978, 0.8979, 0.898, 0.8981, 0.8982, 0.8983000000000001, 0.8984000000000001, 0.8985000000000001, 0.8986000000000001, 0.8987, 0.8988, 0.8989, 0.899, 0.8991, 0.8992, 0.8993, 0.8994, 0.8995, 0.8996, 0.8996999999999999, 0.8998, 0.8999, 0.9, 0.9001, 0.9002, 0.9003000000000001, 0.9004000000000001, 0.9005000000000001, 0.9006000000000001, 0.9007000000000001, 0.9008, 0.9009, 0.901, 0.9011, 0.9012, 0.9013, 0.9014, 0.9015, 0.9016, 0.9017, 0.9018, 0.9019, 0.902, 0.9021, 0.9022, 0.9023000000000001, 0.9024000000000001, 0.9025000000000001, 0.9026000000000001, 0.9027000000000001, 0.9028, 0.9029, 0.903, 0.9031, 0.9032, 0.9033, 0.9034, 0.9035, 0.9036, 0.9037, 0.9037999999999999, 0.9039, 0.904, 0.9041, 0.9042, 0.9043, 0.9044000000000001, 0.9045000000000001, 0.9046000000000001, 0.9047000000000001, 0.9048, 0.9049, 0.905, 0.9051, 0.9052, 0.9053, 0.9054, 0.9055, 0.9056, 0.9057, 0.9057999999999999, 0.9059, 0.906, 0.9061, 0.9062, 0.9063, 0.9064000000000001, 0.9065000000000001, 0.9066000000000001, 0.9067000000000001, 0.9068, 0.9069, 0.907, 0.9071, 0.9072, 0.9073, 0.9074, 0.9075, 0.9076, 0.9077, 0.9077999999999999, 0.9079, 0.908, 0.9081, 0.9082, 0.9083, 0.9084000000000001, 0.9085000000000001, 0.9086000000000001, 0.9087000000000001, 0.9088, 0.9089, 0.909, 0.9091, 0.9092, 0.9093, 0.9094, 0.9095, 0.9096, 0.9097, 0.9097999999999999, 0.9099, 0.91, 0.9101, 0.9102, 0.9103, 0.9104000000000001, 0.9105000000000001, 0.9106000000000001, 0.9107000000000001, 0.9108, 0.9109, 0.911, 0.9111, 0.9112, 0.9113, 0.9114, 0.9115, 0.9116, 0.9117, 0.9117999999999999, 0.9119, 0.912, 0.9121, 0.9122, 0.9123, 0.9124000000000001, 0.9125000000000001, 0.9126000000000001, 0.9127000000000001, 0.9128000000000001, 0.9129, 0.913, 0.9131, 0.9132, 0.9133, 0.9134, 0.9135, 0.9136, 0.9137, 0.9138, 0.9139, 0.914, 0.9141, 0.9142, 0.9143, 0.9144000000000001, 0.9145000000000001, 0.9146000000000001, 0.9147000000000001, 0.9148000000000001, 0.9149, 0.915, 0.9151, 0.9152, 0.9153, 0.9154, 0.9155, 0.9156, 0.9157, 0.9158, 0.9159, 0.916, 0.9161, 0.9162, 0.9163, 0.9164, 0.9165000000000001, 0.9166000000000001, 0.9167000000000001, 0.9168000000000001, 0.9169, 0.917, 0.9171, 0.9172, 0.9173, 0.9174, 0.9175, 0.9176, 0.9177, 0.9178, 0.9178999999999999, 0.918, 0.9181, 0.9182, 0.9183, 0.9184, 0.9185000000000001, 0.9186000000000001, 0.9187000000000001, 0.9188000000000001, 0.9189, 0.919, 0.9191, 0.9192, 0.9193, 0.9194, 0.9195, 0.9196, 0.9197, 0.9198, 0.9198999999999999, 0.92, 0.9201, 0.9202, 0.9203, 0.9204, 0.9205000000000001, 0.9206000000000001, 0.9207000000000001, 0.9208000000000001, 0.9209, 0.921, 0.9211, 0.9212, 0.9213, 0.9214, 0.9215, 0.9216, 0.9217, 0.9218, 0.9218999999999999, 0.922, 0.9221, 0.9222, 0.9223, 0.9224, 0.9225000000000001, 0.9226000000000001, 0.9227000000000001, 0.9228000000000001, 0.9229, 0.923, 0.9231, 0.9232, 0.9233, 0.9234, 0.9235, 0.9236, 0.9237, 0.9238, 0.9238999999999999, 0.924, 0.9241, 0.9242, 0.9243, 0.9244, 0.9245000000000001, 0.9246000000000001, 0.9247000000000001, 0.9248000000000001, 0.9249, 0.925, 0.9251, 0.9252, 0.9253, 0.9254, 0.9255, 0.9256, 0.9257, 0.9258, 0.9259, 0.926, 0.9261, 0.9262, 0.9263, 0.9264, 0.9265000000000001, 0.9266000000000001, 0.9267000000000001, 0.9268000000000001, 0.9269000000000001, 0.927, 0.9271, 0.9272, 0.9273, 0.9274, 0.9275, 0.9276, 0.9277, 0.9278, 0.9279, 0.928, 0.9281, 0.9282, 0.9283, 0.9284, 0.9285000000000001, 0.9286000000000001, 0.9287000000000001, 0.9288000000000001, 0.9289000000000001, 0.929, 0.9291, 0.9292, 0.9293, 0.9294, 0.9295, 0.9296, 0.9297, 0.9298, 0.9299, 0.9299999999999999, 0.9301, 0.9302, 0.9303, 0.9304, 0.9305, 0.9306000000000001, 0.9307000000000001, 0.9308000000000001, 0.9309000000000001, 0.931, 0.9311, 0.9312, 0.9313, 0.9314, 0.9315, 0.9316, 0.9317, 0.9318, 0.9319, 0.9319999999999999, 0.9321, 0.9322, 0.9323, 0.9324, 0.9325, 0.9326000000000001, 0.9327000000000001, 0.9328000000000001, 0.9329000000000001, 0.933, 0.9331, 0.9332, 0.9333, 0.9334, 0.9335, 0.9336, 0.9337, 0.9338, 0.9339, 0.9339999999999999, 0.9341, 0.9342, 0.9343, 0.9344, 0.9345, 0.9346000000000001, 0.9347000000000001, 0.9348000000000001, 0.9349000000000001, 0.935, 0.9351, 0.9352, 0.9353, 0.9354, 0.9355, 0.9356, 0.9357, 0.9358, 0.9359, 0.9359999999999999, 0.9361, 0.9362, 0.9363, 0.9364, 0.9365, 0.9366000000000001, 0.9367000000000001, 0.9368000000000001, 0.9369000000000001, 0.937, 0.9371, 0.9372, 0.9373, 0.9374, 0.9375, 0.9376, 0.9377, 0.9378, 0.9379, 0.938, 0.9381, 0.9382, 0.9383, 0.9384, 0.9385, 0.9386000000000001, 0.9387000000000001, 0.9388000000000001, 0.9389000000000001, 0.9390000000000001, 0.9391, 0.9392, 0.9393, 0.9394, 0.9395, 0.9396, 0.9397, 0.9398, 0.9399, 0.94, 0.9401, 0.9402, 0.9403, 0.9404, 0.9405, 0.9406000000000001, 0.9407000000000001, 0.9408000000000001, 0.9409000000000001, 0.9410000000000001, 0.9411, 0.9412, 0.9413, 0.9414, 0.9415, 0.9416, 0.9417, 0.9418, 0.9419, 0.942, 0.9421, 0.9422, 0.9423, 0.9424, 0.9425, 0.9426000000000001, 0.9427000000000001, 0.9428000000000001, 0.9429000000000001, 0.9430000000000001, 0.9431, 0.9432, 0.9433, 0.9434, 0.9435, 0.9436, 0.9437, 0.9438, 0.9439, 0.944, 0.9440999999999999, 0.9442, 0.9443, 0.9444, 0.9445, 0.9446, 0.9447000000000001, 0.9448000000000001, 0.9449000000000001, 0.9450000000000001, 0.9451, 0.9452, 0.9453, 0.9454, 0.9455, 0.9456, 0.9457, 0.9458, 0.9459, 0.946, 0.9460999999999999, 0.9462, 0.9463, 0.9464, 0.9465, 0.9466, 0.9467000000000001, 0.9468000000000001, 0.9469000000000001, 0.9470000000000001, 0.9471, 0.9472, 0.9473, 0.9474, 0.9475, 0.9476, 0.9477, 0.9478, 0.9479, 0.948, 0.9480999999999999, 0.9482, 0.9483, 0.9484, 0.9485, 0.9486, 0.9487000000000001, 0.9488000000000001, 0.9489000000000001, 0.9490000000000001, 0.9491, 0.9492, 0.9493, 0.9494, 0.9495, 0.9496, 0.9497, 0.9498, 0.9499, 0.95, 0.9501, 0.9502, 0.9503, 0.9504, 0.9505, 0.9506, 0.9507000000000001, 0.9508000000000001, 0.9509000000000001, 0.9510000000000001, 0.9511000000000001, 0.9512, 0.9513, 0.9514, 0.9515, 0.9516, 0.9517, 0.9518, 0.9519, 0.952, 0.9521, 0.9522, 0.9523, 0.9524, 0.9525, 0.9526, 0.9527000000000001, 0.9528000000000001, 0.9529000000000001, 0.9530000000000001, 0.9531000000000001, 0.9532, 0.9533, 0.9534, 0.9535, 0.9536, 0.9537, 0.9538, 0.9539, 0.954, 0.9541, 0.9542, 0.9543, 0.9544, 0.9545, 0.9546, 0.9547000000000001, 0.9548000000000001, 0.9549000000000001, 0.9550000000000001, 0.9551000000000001, 0.9552, 0.9553, 0.9554, 0.9555, 0.9556, 0.9557, 0.9558, 0.9559, 0.956, 0.9561, 0.9561999999999999, 0.9563, 0.9564, 0.9565, 0.9566, 0.9567, 0.9568000000000001, 0.9569000000000001, 0.9570000000000001, 0.9571000000000001, 0.9572, 0.9573, 0.9574, 0.9575, 0.9576, 0.9577, 0.9578, 0.9579, 0.958, 0.9581, 0.9581999999999999, 0.9583, 0.9584, 0.9585, 0.9586, 0.9587, 0.9588000000000001, 0.9589000000000001, 0.9590000000000001, 0.9591000000000001, 0.9592, 0.9593, 0.9594, 0.9595, 0.9596, 0.9597, 0.9598, 0.9599, 0.96, 0.9601, 0.9601999999999999, 0.9603, 0.9604, 0.9605, 0.9606, 0.9607, 0.9608000000000001, 0.9609000000000001, 0.9610000000000001, 0.9611000000000001, 0.9612, 0.9613, 0.9614, 0.9615, 0.9616, 0.9617, 0.9618, 0.9619, 0.962, 0.9621, 0.9621999999999999, 0.9623, 0.9624, 0.9625, 0.9626, 0.9627, 0.9628000000000001, 0.9629000000000001, 0.9630000000000001, 0.9631000000000001, 0.9632000000000001, 0.9633, 0.9634, 0.9635, 0.9636, 0.9637, 0.9638, 0.9639, 0.964, 0.9641, 0.9642, 0.9643, 0.9644, 0.9645, 0.9646, 0.9647, 0.9648000000000001, 0.9649000000000001, 0.9650000000000001, 0.9651000000000001, 0.9652000000000001, 0.9653, 0.9654, 0.9655, 0.9656, 0.9657, 0.9658, 0.9659, 0.966, 0.9661, 0.9662, 0.9663, 0.9664, 0.9665, 0.9666, 0.9667, 0.9668000000000001, 0.9669000000000001, 0.9670000000000001, 0.9671000000000001, 0.9672000000000001, 0.9673, 0.9674, 0.9675, 0.9676, 0.9677, 0.9678, 0.9679, 0.968, 0.9681, 0.9682, 0.9683, 0.9684, 0.9685, 0.9686, 0.9687, 0.9688000000000001, 0.9689000000000001, 0.9690000000000001, 0.9691000000000001, 0.9692000000000001, 0.9693, 0.9694, 0.9695, 0.9696, 0.9697, 0.9698, 0.9699, 0.97, 0.9701, 0.9702, 0.9702999999999999, 0.9704, 0.9705, 0.9706, 0.9707, 0.9708, 0.9709000000000001, 0.9710000000000001, 0.9711000000000001, 0.9712000000000001, 0.9713, 0.9714, 0.9715, 0.9716, 0.9717, 0.9718, 0.9719, 0.972, 0.9721, 0.9722, 0.9722999999999999, 0.9724, 0.9725, 0.9726, 0.9727, 0.9728, 0.9729000000000001, 0.9730000000000001, 0.9731000000000001, 0.9732000000000001, 0.9733, 0.9734, 0.9735, 0.9736, 0.9737, 0.9738, 0.9739, 0.974, 0.9741, 0.9742, 0.9742999999999999, 0.9744, 0.9745, 0.9746, 0.9747, 0.9748, 0.9749000000000001, 0.9750000000000001, 0.9751000000000001, 0.9752000000000001, 0.9753000000000001, 0.9754, 0.9755, 0.9756, 0.9757, 0.9758, 0.9759, 0.976, 0.9761, 0.9762, 0.9763, 0.9764, 0.9765, 0.9766, 0.9767, 0.9768, 0.9769000000000001, 0.9770000000000001, 0.9771000000000001, 0.9772000000000001, 0.9773000000000001, 0.9774, 0.9775, 0.9776, 0.9777, 0.9778, 0.9779, 0.978, 0.9781, 0.9782, 0.9783, 0.9784, 0.9785, 0.9786, 0.9787, 0.9788, 0.9789000000000001, 0.9790000000000001, 0.9791000000000001, 0.9792000000000001, 0.9793000000000001, 0.9794, 0.9795, 0.9796, 0.9797, 0.9798, 0.9799, 0.98, 0.9801, 0.9802, 0.9803, 0.9804, 0.9805, 0.9806, 0.9807, 0.9808, 0.9809000000000001, 0.9810000000000001, 0.9811000000000001, 0.9812000000000001, 0.9813000000000001, 0.9814, 0.9815, 0.9816, 0.9817, 0.9818, 0.9819, 0.982, 0.9821, 0.9822, 0.9823, 0.9823999999999999, 0.9825, 0.9826, 0.9827, 0.9828, 0.9829, 0.9830000000000001, 0.9831000000000001, 0.9832000000000001, 0.9833000000000001, 0.9834, 0.9835, 0.9836, 0.9837, 0.9838, 0.9839, 0.984, 0.9841, 0.9842, 0.9843, 0.9843999999999999, 0.9845, 0.9846, 0.9847, 0.9848, 0.9849, 0.9850000000000001, 0.9851000000000001, 0.9852000000000001, 0.9853000000000001, 0.9854, 0.9855, 0.9856, 0.9857, 0.9858, 0.9859, 0.986, 0.9861, 0.9862, 0.9863, 0.9863999999999999, 0.9865, 0.9866, 0.9867, 0.9868, 0.9869, 0.9870000000000001, 0.9871000000000001, 0.9872000000000001, 0.9873000000000001, 0.9874, 0.9875, 0.9876, 0.9877, 0.9878, 0.9879, 0.988, 0.9881, 0.9882, 0.9883, 0.9884, 0.9885, 0.9886, 0.9887, 0.9888, 0.9889, 0.9890000000000001, 0.9891000000000001, 0.9892000000000001, 0.9893000000000001, 0.9894000000000001, 0.9895, 0.9896, 0.9897, 0.9898, 0.9899, 0.99, 0.9901, 0.9902, 0.9903, 0.9904, 0.9905, 0.9906, 0.9907, 0.9908, 0.9909, 0.9910000000000001, 0.9911000000000001, 0.9912000000000001, 0.9913000000000001, 0.9914000000000001, 0.9915, 0.9916, 0.9917, 0.9918, 0.9919, 0.992, 0.9921, 0.9922, 0.9923, 0.9924, 0.9925, 0.9926, 0.9927, 0.9928, 0.9929, 0.9930000000000001, 0.9931000000000001, 0.9932000000000001, 0.9933000000000001, 0.9934000000000001, 0.9935, 0.9936, 0.9937, 0.9938, 0.9939, 0.994, 0.9941, 0.9942, 0.9943, 0.9944, 0.9945, 0.9946, 0.9947, 0.9948, 0.9949, 0.9950000000000001, 0.9951000000000001, 0.9952000000000001, 0.9953000000000001, 0.9954000000000001, 0.9955, 0.9956, 0.9957, 0.9958, 0.9959, 0.996, 0.9961, 0.9962, 0.9963, 0.9964, 0.9964999999999999, 0.9966, 0.9967, 0.9968, 0.9969, 0.997, 0.9971000000000001, 0.9972000000000001, 0.9973000000000001, 0.9974000000000001, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9984999999999999, 0.9986, 0.9987, 0.9988, 0.9989, 0.999, 0.9991000000000001, 0.9992000000000001, 0.9993000000000001, 0.9994000000000001, 0.9995, 0.9996, 0.9997, 0.9998, 0.9999, 1.0], \\\"y\\\": [0.9986541833745752, 0.9986530561908105, 0.9986519290070456, 0.9986508018232807, 0.9986496746395159, 0.998648547455751, 0.9986474202719862, 0.9986462930882214, 0.9986451659044564, 0.9986440387206916, 0.9986429115369269, 0.9986417049591603, 0.9986404288484163, 0.9986391527376722, 0.9986378766269283, 0.9986366005161842, 0.9986353244054402, 0.9986340482946963, 0.9986327721839521, 0.9986314960732081, 0.9986302199624641, 0.9986289438517201, 0.9986276677409761, 0.998626391630232, 0.9986251155194881, 0.9986238394087441, 0.9986225632979999, 0.998621287187256, 0.998620011076512, 0.998618734965768, 0.998617458855024, 0.9986161827442799, 0.9986149066335359, 0.998613630522792, 0.998612354412048, 0.9986110783013038, 0.9986098021905598, 0.9986085260798159, 0.9986072499690718, 0.9986059738583278, 0.9986046977475838, 0.9986032631853556, 0.998601827880069, 0.9986003925747822, 0.9985989572694955, 0.9985975219642087, 0.9985960866589221, 0.9985946513536353, 0.9985932160483486, 0.998591780743062, 0.9985903454377751, 0.9985889101324885, 0.9985874748272019, 0.998586039521915, 0.9985846042166283, 0.9985831689113417, 0.998581733606055, 0.9985802983007682, 0.9985788629954815, 0.9985774276901949, 0.998575992384908, 0.9985745570796214, 0.9985731217743347, 0.9985716864690479, 0.9985702511637612, 0.9985688158584745, 0.9985673805531878, 0.998565945247901, 0.9985645099426144, 0.9985630746373277, 0.9985616393320409, 0.9985602040267542, 0.9985587687214675, 0.9985573334161808, 0.9985558981108941, 0.9985544628056073, 0.9985530275003207, 0.9985515921950339, 0.9985501568897472, 0.9985487215844605, 0.9985472862791738, 0.998545850973887, 0.9985444156686003, 0.9985429803633137, 0.9985415450580268, 0.9985401097527402, 0.9985386744474534, 0.9985372391421667, 0.9985358038368799, 0.9985343685315933, 0.9985329332263067, 0.9985314979210198, 0.9985300626157331, 0.9985286273104464, 0.9985271920051597, 0.998525756699873, 0.9985243213945862, 0.9985228860892996, 0.9985214507840128, 0.9985200154787262, 0.9985185801734394, 0.9985171448681527, 0.998515709562866, 0.9985142742575792, 0.9985128389522926, 0.9985114036470057, 0.9985099683417191, 0.9985085330364323, 0.9985070977311457, 0.9985056624258589, 0.9985042271205722, 0.9985027918152856, 0.9985013565099987, 0.9984999212047121, 0.9984984858994255, 0.9984970505941386, 0.9984956152888518, 0.9984942942196904, 0.9984931237195697, 0.998491953219449, 0.9984907827193281, 0.9984896122192074, 0.9984884417190867, 0.998487271218966, 0.9984861007188452, 0.9984849302187244, 0.9984837597186037, 0.998482589218483, 0.9984814187183624, 0.9984802482182416, 0.9984790777181207, 0.9984779072180001, 0.9984767367178793, 0.9984755662177585, 0.9984743957176379, 0.9984732252175171, 0.9984720547173964, 0.9984708842172756, 0.9984697137171549, 0.9984685432170342, 0.9984673727845492, 0.9984662287661221, 0.9984650847476948, 0.9984639407292676, 0.9984627967108405, 0.9984616526924132, 0.998460508673986, 0.9984593646555588, 0.9984582206371315, 0.9984570766187044, 0.9984559326002772, 0.99845478858185, 0.9984536445634229, 0.9984525005449957, 0.9984513565265685, 0.9984502125081411, 0.998449068489714, 0.9984479244712867, 0.9984467804528596, 0.9984456364344323, 0.9984444924160052, 0.9984433483975781, 0.9984422043791508, 0.9984410603607236, 0.9984399163422965, 0.9984387723238692, 0.998437628305442, 0.9984364842870148, 0.9984353402685875, 0.9984341962501604, 0.9984330522317332, 0.998431908213306, 0.9984307641948789, 0.9984296201764518, 0.9984284927061704, 0.9984274654444172, 0.9984264381826642, 0.9984254109209111, 0.998424383659158, 0.998423356397405, 0.9984223549717204, 0.9984213818114829, 0.9984204086512452, 0.9984194354910074, 0.9984184623307699, 0.9984174891705322, 0.9984165160102947, 0.998415542850057, 0.9984145696898192, 0.9984135965295815, 0.9984126233693439, 0.9984116502091063, 0.9984106463693352, 0.9984091273918885, 0.9984076084144418, 0.9984060894369953, 0.9984045704595486, 0.9984030514821018, 0.9984015325046551, 0.9984000135272086, 0.9983984945497619, 0.9983969755723153, 0.9983954565948685, 0.998393937617422, 0.9983924186399753, 0.9983908996625287, 0.998389380685082, 0.9983878617076354, 0.9983863427301887, 0.9983848237527421, 0.9983833047752955, 0.9983817857978488, 0.9983802668204022, 0.9983787478429554, 0.9983772288655088, 0.9983757098880621, 0.9983741909106154, 0.9983726789120133, 0.998371203420537, 0.9983697279290606, 0.9983682524375843, 0.9983667769461082, 0.9983653014546319, 0.9983638259631555, 0.9983623504716792, 0.9983608749802031, 0.9983593994887268, 0.9983579239972504, 0.9983562884809749, 0.9983534917260751, 0.9983506949711753, 0.9983478982162757, 0.9983451014613759, 0.9983423047064761, 0.9983395319593631, 0.9983368175531048, 0.9983341031468465, 0.9983315062307119, 0.9983297532156583, 0.998328000200605, 0.9983262471855514, 0.9983245027553235, 0.998322827672804, 0.9983211525902844, 0.9983194775077648, 0.9983178024252455, 0.998316127342726, 0.9983144522602065, 0.998312777177687, 0.9983111020951674, 0.9983094270126479, 0.9983077519301284, 0.9983060768476091, 0.9983044017650895, 0.9983027266825699, 0.9983010516000504, 0.998299376517531, 0.9982977014350114, 0.9982960365311657, 0.9982943728769329, 0.9982927092227001, 0.9982910455684674, 0.9982893819142346, 0.9982877182600018, 0.998286054605769, 0.9982843909515362, 0.9982827272973034, 0.9982810636430707, 0.998279399988838, 0.9982777363346051, 0.9982760726803724, 0.9982744090261396, 0.9982727453719069, 0.9982710817176741, 0.9982694180634413, 0.9982677544092087, 0.9982660907549757, 0.998264427100743, 0.9982627634465102, 0.9982610997922774, 0.9982594361380446, 0.998257772483812, 0.9982561088295792, 0.9982544451753463, 0.9982527815211135, 0.9982505140397472, 0.998247873633453, 0.9982452332271592, 0.9982425928208649, 0.9982400175623781, 0.9982374587518031, 0.9982348999412282, 0.9982323411306532, 0.9982297823200782, 0.9982272235095033, 0.9982246646989283, 0.9982221058883534, 0.9982195470777784, 0.9982169882672034, 0.9982144294566284, 0.9982118706460534, 0.9982093118354786, 0.9982067530249037, 0.9982041942143287, 0.9982016354037537, 0.9981990765931787, 0.9981965177826037, 0.9981939589720288, 0.9981914001614537, 0.9981893301006757, 0.9981879306801447, 0.9981852040889259, 0.9981824136999591, 0.9981796233109922, 0.9981768329220253, 0.9981752706989268, 0.9981737174606519, 0.998172164222377, 0.9981705774194648, 0.9981677196602905, 0.9981648619011163, 0.9981620041419421, 0.9981591463827678, 0.9981562886235935, 0.9981534308644194, 0.9981505731052451, 0.9981477153460709, 0.9981448575868967, 0.9981419998277223, 0.9981391420685481, 0.998136284309374, 0.9981334338965984, 0.9981307246315065, 0.9981280153664147, 0.9981245301305655, 0.9981204918373483, 0.9981164535441309, 0.9981124152509135, 0.9981083769576962, 0.9981045983389746, 0.9981018432593085, 0.9980990881796422, 0.9980963330999759, 0.9980935780203097, 0.9980909275239338, 0.9980882855994031, 0.9980856436748724, 0.9980832343037886, 0.9980819365000626, 0.9980806386963363, 0.9980793408926103, 0.9980780430888841, 0.9980767452851581, 0.9980754474814318, 0.9980741496777058, 0.9980728518739795, 0.9980715540702535, 0.9980702562665273, 0.9980689584628013, 0.998067660659075, 0.998066362855349, 0.9980650650516228, 0.9980637726474851, 0.9980625031750241, 0.9980612337025629, 0.9980599642301018, 0.9980586947576406, 0.9980574252851796, 0.9980561558127183, 0.9980548863402574, 0.998053616867796, 0.9980523473953351, 0.9980510779228738, 0.9980498084504128, 0.9980485389779516, 0.9980472695054905, 0.9980460000330293, 0.9980447305605683, 0.998043461088107, 0.9980421916156461, 0.9980409221431847, 0.9980396526707238, 0.9980383831982624, 0.9980371137258015, 0.9980358442533402, 0.9980345747808792, 0.998033305308418, 0.9980319588615088, 0.9980303808171357, 0.9980288027727626, 0.9980272247283895, 0.9980256466840165, 0.9980240686396433, 0.9980222135237553, 0.9980196526780727, 0.9980170918323898, 0.9980145309867072, 0.9980119701410244, 0.9980094092953418, 0.998006848449659, 0.9980042876039763, 0.9980017267582937, 0.9979991659126108, 0.9979966050669282, 0.9979940442212456, 0.997991040041076, 0.9979880033969202, 0.9979849667527644, 0.9979820719381771, 0.9979793416330003, 0.9979766113278234, 0.9979738810226466, 0.9979712167464193, 0.9979685967891969, 0.9979659768319744, 0.9979633568747521, 0.9979607369175296, 0.9979577833048914, 0.9979544804926203, 0.9979517353618725, 0.9979495753575609, 0.9979474153532493, 0.997945378427123, 0.9979435734446022, 0.9979417684620812, 0.9979399634795604, 0.9979381584970395, 0.9979363535145186, 0.9979345485319978, 0.9979327435494769, 0.997930938566956, 0.9979291335844352, 0.9979273356058602, 0.9979255717931745, 0.9979238079804891, 0.9979220441678034, 0.9979202803551178, 0.9979185165424322, 0.9979167771065364, 0.9979150414824117, 0.9979133058582871, 0.9979115702341625, 0.9979098346100378, 0.9979080989859133, 0.9979063633617886, 0.9979046277376639, 0.9979028921135393, 0.9979011564894146, 0.99789942086529, 0.9978976852411654, 0.9978959496170408, 0.9978942139929161, 0.9978924783687915, 0.9978907427446668, 0.9978890071205422, 0.9978872714964175, 0.9978855358722929, 0.9978833077691486, 0.9978810182809543, 0.99787872879276, 0.9978764393045656, 0.9978741498163712, 0.997871860328177, 0.9978695708399827, 0.9978672813517885, 0.9978649918635941, 0.9978627023753996, 0.9978605231969717, 0.9978589936196512, 0.9978574640423308, 0.9978559344650102, 0.9978544048876896, 0.997852875310369, 0.9978516073376458, 0.9978507479157241, 0.9978498884938024, 0.9978490290718807, 0.9978481696499589, 0.9978473102280372, 0.9978464508061156, 0.9978455913841937, 0.9978447466413818, 0.9978425691667238, 0.9978403460506999, 0.997838122934676, 0.9978358998186521, 0.9978336767026281, 0.9978314535866042, 0.9978292304705804, 0.9978270073545564, 0.9978247842385325, 0.9978225611225087, 0.9978190651801284, 0.9978155328727403, 0.9978120005653524, 0.9978084682579641, 0.997804935950576, 0.9978014036431878, 0.9977978713357996, 0.9977943390284116, 0.9977908067210235, 0.9977872744136354, 0.9977837421062472, 0.9977802185335483, 0.9977775319425702, 0.9977751316635017, 0.9977727313844331, 0.9977703311053645, 0.997767930826296, 0.9977655305472275, 0.9977631302681589, 0.9977607299890905, 0.9977584207857353, 0.9977561902505531, 0.9977539597153711, 0.9977517291801886, 0.9977494986450064, 0.9977476631196824, 0.9977458833215251, 0.9977441035233682, 0.997742323725211, 0.9977405439270539, 0.9977387641288968, 0.9977369843307398, 0.9977348708039873, 0.9977327363817372, 0.9977306019594872, 0.9977284675372371, 0.9977264231666186, 0.9977238990982539, 0.9977205638585707, 0.9977172286188873, 0.9977147603886071, 0.9977125611311497, 0.9977103618736923, 0.997708162616235, 0.9977059633587775, 0.99770376410132, 0.9977015648438625, 0.9976994584641716, 0.9976975575194067, 0.9976956565746418, 0.9976937556298768, 0.9976918546851119, 0.997689953740347, 0.997688052795582, 0.9976861518508171, 0.9976842509060522, 0.9976823499612871, 0.9976804490165223, 0.9976780809824515, 0.9976752480936737, 0.9976724152048959, 0.9976696544278416, 0.997666909017825, 0.9976641636078081, 0.9976614181977914, 0.9976586727877746, 0.9976559273777579, 0.9976531819677411, 0.9976504365577243, 0.9976476911477077, 0.9976449457376908, 0.9976422003276741, 0.9976394549176574, 0.997636810439115, 0.997634329226029, 0.9976320782888148, 0.9976302022518262, 0.9976283262148375, 0.9976264501778489, 0.9976245741408603, 0.9976226981038714, 0.9976208220668827, 0.9976189460298941, 0.9976170699929054, 0.9976151923322198, 0.9976132454497488, 0.9976112985672779, 0.997609351684807, 0.9976074048023362, 0.9976054579198652, 0.9976035110373943, 0.9976015641549234, 0.9975996172724525, 0.9975975448365062, 0.9975953899522569, 0.9975932350680076, 0.9975910801837582, 0.997588925299509, 0.9975867704152597, 0.9975845799738445, 0.997581689773211, 0.9975787995725776, 0.9975759162304378, 0.9975730879323029, 0.997570303425363, 0.9975675189184231, 0.9975647344114833, 0.9975620029657868, 0.997560330948705, 0.997558658931623, 0.9975569869145411, 0.997555314897459, 0.9975536759533804, 0.9975520608580376, 0.9975504457626949, 0.9975488306673521, 0.9975472155720093, 0.9975456004766666, 0.9975439853813238, 0.9975423702859811, 0.997540875999356, 0.9975397135263976, 0.9975383653511238, 0.9975367078317878, 0.9975350503124518, 0.997533392793116, 0.99753173527378, 0.9975300777544441, 0.9975284202351082, 0.9975267743671847, 0.9975252045283358, 0.9975236779177663, 0.9975221513071968, 0.9975206246966273, 0.9975191100537039, 0.9975176292704355, 0.9975161484871672, 0.9975146677038986, 0.9975131869206305, 0.9975117061373621, 0.9975102974265974, 0.9975093502568095, 0.9975084030870216, 0.9975074559172339, 0.997506064973227, 0.9975023233139584, 0.9974987773651971, 0.997494787151894, 0.9974902983735943, 0.9974858095952945, 0.9974813208169948, 0.9974781912208233, 0.9974750874099174, 0.9974719835990117, 0.9974690835052442, 0.9974669794829605, 0.9974648754606767, 0.9974627714383932, 0.9974606674161095, 0.997457519608547, 0.9974543090926475, 0.9974510985767483, 0.9974478880608489, 0.9974446775449495, 0.9974415614221206, 0.9974397125191852, 0.9974381178680114, 0.9974365232168378, 0.9974349797425276, 0.997433456018276, 0.9974319322940246, 0.9974304085697729, 0.9974283553939076, 0.9974261475660702, 0.9974242649533389, 0.9974227808782465, 0.9974212968031541, 0.9974198127280616, 0.9974183485183488, 0.9974168459241539, 0.9974146387441611, 0.9974123219156796, 0.9974100050871983, 0.9974076882587171, 0.9974053714302358, 0.9974030546017545, 0.9974007377732732, 0.9973987394084926, 0.9973972556225006, 0.9973957718365087, 0.9973942846270214, 0.9973927966989502, 0.9973912004817139, 0.9973894118282374, 0.9973876231747608, 0.9973858345212843, 0.9973830671503519, 0.9973794891101091, 0.9973760154183444, 0.9973722500676125, 0.9973684847168806, 0.9973648034711308, 0.9973611507352865, 0.9973574979994424, 0.9973537991614863, 0.9973500839836932, 0.9973467835291716, 0.9973434830746499, 0.9973401826201284, 0.9973368821656068, 0.9973335994982175, 0.9973294464190181, 0.9973264479705621, 0.9973238385942742, 0.9973220311587399, 0.9973205537604736, 0.997317608884237, 0.9973143248724816, 0.9973111642398177, 0.9973084808576853, 0.9973060503238957, 0.9973032589652189, 0.9972989690940242, 0.9972943664229039, 0.9972922462267381, 0.997290126030572, 0.9972887044732, 0.9972858942435525, 0.9972819090753745, 0.9972795520875681, 0.9972783578415074, 0.9972771635954467, 0.9972759693493858, 0.9972747751033252, 0.9972735808572644, 0.9972723866112037, 0.9972711923651429, 0.9972698925142094, 0.9972685425585904, 0.9972671919973213, 0.9972658414360525, 0.9972644908747834, 0.9972629917113245, 0.9972583520046345, 0.9972538179762653, 0.9972501801212745, 0.9972485684056407, 0.9972469566900068, 0.9972453449743732, 0.9972436403546301, 0.997241019668373, 0.9972380803859933, 0.9972351155343728, 0.9972321506827521, 0.9972291858311315, 0.9972262209795109, 0.9972232561278902, 0.9972200710323005, 0.9972173557683792, 0.9972152900724061, 0.9972132884652751, 0.9972124310926316, 0.997211623231175, 0.9972104488508069, 0.9972082327818913, 0.9972057278535207, 0.997203242570692, 0.9972008075508565, 0.9971983725310207, 0.9971942885360605, 0.9971900428059839, 0.9971858694018034, 0.9971820707613933, 0.997180653951756, 0.9971794724654093, 0.9971782909790627, 0.9971771094927162, 0.9971752953892581, 0.997172521049402, 0.9971698636529336, 0.9971678330955798, 0.9971658310581635, 0.9971655231342154, 0.9971650347052778, 0.9971632438584508, 0.9971614530116237, 0.9971593295557368, 0.9971564783105673, 0.997153627065398, 0.9971512009269181, 0.99714943594102, 0.997147670955122, 0.9971468022151272, 0.9971465177452579, 0.9971461905298885, 0.9971458633145192, 0.9971447488788128, 0.997143156705887, 0.9971415645329615, 0.9971403691013317, 0.9971393346396338, 0.9971383001779359, 0.9971377090964748, 0.9971355722518978, 0.9971321223736294, 0.9971286724953611, 0.9971238608497102, 0.997118585017912, 0.9971147053295621, 0.9971118863225268, 0.9971090673154912, 0.9971070633133312, 0.997105539600367, 0.9971040158874026, 0.9971023326021791, 0.997100645898542, 0.9970989591949048, 0.9970956998937373, 0.9970899231749244, 0.9970835589999091, 0.9970792648616897, 0.9970766740093204, 0.9970745614088021, 0.9970735521929317, 0.997072542977061, 0.9970711215108979, 0.9970692423388854, 0.9970672678978919, 0.9970630029553762, 0.9970587380128604, 0.9970544730703446, 0.9970503426353214, 0.9970468967518932, 0.997044235850964, 0.997043261287059, 0.9970414803518325, 0.9970317237418401, 0.9970219671318479, 0.9970137348044774, 0.9970107535236024, 0.9970077722427274, 0.9970047909618525, 0.9970026368773446, 0.9970010360767982, 0.9969994352762518, 0.9969974494605746, 0.9969941228318875, 0.9969909754032273, 0.996988199256877, 0.9969854231105268, 0.9969842225941826, 0.9969832441572317, 0.996982233966301, 0.9969810707180609, 0.9969799074698209, 0.9969787442215807, 0.9969767352805694, 0.9969740131214342, 0.9969712909622988, 0.9969682926758436, 0.9969649302349701, 0.9969618357365082, 0.9969595417486845, 0.9969566106804757, 0.9969517340971219, 0.9969469357068327, 0.9969421373165437, 0.9969364641962544, 0.9969306934860335, 0.9969249227758126, 0.9969197545160704, 0.9969168498135758, 0.9969151874755593, 0.9969132147542547, 0.996910711467929, 0.9969085506610053, 0.9969065332444024, 0.9969045158277995, 0.9969024946519973, 0.9968998794869455, 0.9968973387981643, 0.9968942796094009, 0.9968899426700952, 0.9968861537695132, 0.9968849153359441, 0.9968827060336869, 0.9968815808442796, 0.9968797846169568, 0.9968776888775193, 0.9968755931380817, 0.99687261822731, 0.9968688588758368, 0.9968654983636314, 0.9968637962904408, 0.9968619991625156, 0.9968602495619576, 0.9968589287713012, 0.996857398529911, 0.9968553580631043, 0.9968520868889621, 0.9968439517996659, 0.9968347095877388, 0.9968278299379465, 0.9968266345701225, 0.9968251679700812, 0.9968235312406, 0.9968214259531921, 0.9968192957951083, 0.9968172628464578, 0.9968152421501679, 0.9968134087708578, 0.9968116275758288, 0.9968100587830175, 0.9968087028660468, 0.9968079449984487, 0.9968065224189798, 0.9968029914589209, 0.9967978078828221, 0.9967929115622819, 0.996790023408664, 0.9967872213761089, 0.9967850899716877, 0.9967812799186769, 0.9967767204242132, 0.9967707900465327, 0.9967648711804942, 0.9967638238069471, 0.9967621203913876, 0.9967595491284506, 0.9967558163810377, 0.9967523779075766, 0.9967493094533872, 0.9967460182202184, 0.9967426933397059, 0.9967396042922637, 0.996734226439699, 0.9967272308601045, 0.9967206143373225, 0.9967184309085351, 0.9967162893847863, 0.9967121503176051, 0.9967080673374874, 0.9967045322773359, 0.9967012364998236, 0.9966968625417101, 0.996693158999326, 0.996690312067956, 0.9966868299858289, 0.9966832458837906, 0.996679634215992, 0.9966760699285543, 0.996671924747089, 0.9966694122833996, 0.9966685807053526, 0.9966682928663817, 0.9966676900382005, 0.9966669762271119, 0.9966669582995948, 0.9966669403597784, 0.9966669936568449, 0.9966671906416442, 0.9966663518038767, 0.9966653561702605, 0.996664577121212, 0.9966634759668779, 0.9966617694319522, 0.9966595491340973, 0.9966517214028434, 0.9966428290705422, 0.9966373236113352, 0.9966337581331094, 0.9966319881134154, 0.9966298436723244, 0.9966267974472911, 0.9966241004188758, 0.9966232011001728, 0.9966216994442194, 0.9966169826495309, 0.9966119358290866, 0.9966091992364922, 0.9966059957855007, 0.9966019831373512, 0.9965979428393483, 0.9965934328925867, 0.9965886510702895, 0.9965883641852422, 0.996588077300195, 0.9965788360963108, 0.996573185106773, 0.9965686084708341, 0.9965641126222944, 0.9965600345211769, 0.9965584049122811, 0.9965573621821469, 0.996556460519952, 0.9965554940558694, 0.9965537326131289, 0.9965488139192757, 0.9965413135800124, 0.9965324220715468, 0.9965273695789485, 0.9965213705723154, 0.9965168688534212, 0.9965120614857021, 0.9965092481926242, 0.9965046879099719, 0.9965002654716348, 0.9964980616478165, 0.9964961396273442, 0.9964947414276066, 0.9964915818038859, 0.9964869053588401, 0.9964863112807465, 0.9964856847705525, 0.9964845101927476, 0.9964825463684361, 0.9964812776024643, 0.9964794793963492, 0.996477271373044, 0.9964763461305519, 0.9964719227429262, 0.9964679887634629, 0.9964645677959882, 0.9964640823693395, 0.9964640293241713, 0.9964638482362196, 0.9964624397987096, 0.9964609996844243, 0.9964584823917494, 0.9964467719919159, 0.9964242170626317, 0.9964235838680031, 0.9964228196458345, 0.9964183073869314, 0.9964134692938054, 0.9964087577120508, 0.99640242678171, 0.9963958842022009, 0.9963914772834351, 0.9963900724547728, 0.9963892876206126, 0.9963873740865581, 0.9963838407231745, 0.9963815663957667, 0.9963776882386969, 0.9963740098793041, 0.9963735582441119, 0.9963738333252179, 0.9963726825209023, 0.9963709428122138, 0.9963675937184198, 0.9963639095587248, 0.99636100652793, 0.9963568441491193, 0.9963503455201328, 0.9963453896930139, 0.9963426744122628, 0.996340648615363, 0.9963394634879081, 0.9963377240261712, 0.9963351256162918, 0.9963305311851405, 0.996325959281354, 0.9963219794400853, 0.9963207697728885, 0.9963148753242059, 0.996310190276174, 0.9963054277782701, 0.996299607051867, 0.9962941493554828, 0.9962889804439172, 0.996281690249647, 0.9962700647521809, 0.9962656764710761, 0.9962641815679343, 0.9962607301389308, 0.9962577964098726, 0.9962550798403473, 0.9962515222920486, 0.9962476233555423, 0.9962454106769943, 0.9962447589848762, 0.9962444007049696, 0.9962415890326699, 0.9962376650455319, 0.99623268977475, 0.9962271490294496, 0.9962262039666855, 0.9962253913842152, 0.9962200181255056, 0.9962129829061674, 0.9962066786805728, 0.9962000422133532, 0.9961956381879552, 0.9961934967464041, 0.9961925073665066, 0.9961912382715684, 0.9961875752458351, 0.9961780720157682, 0.9961688922277934, 0.9961622752786575, 0.9961581902339034, 0.9961557263440877, 0.9961541421048088, 0.9961524846272519, 0.996149179157219, 0.9961437100098968, 0.9961381729381489, 0.9961350442995971, 0.9961319985685371, 0.9961264960241739, 0.9961213830261213, 0.9961206478772471, 0.996120418098361, 0.9961182693996917, 0.9961149645881923, 0.996111307377716, 0.996107605203199, 0.9961050180200096, 0.9961017567612942, 0.9960999037587293, 0.9960955402009715, 0.9960933223789232, 0.9960927729854543, 0.9960919661546311, 0.9960891521386687, 0.9960864587489942, 0.9960835397007587, 0.9960809267335514, 0.9960787848537866, 0.9960777556911011, 0.9960763029974373, 0.996072246902808, 0.9960696666509232, 0.9960671645912331, 0.9960647438138636, 0.9960614849900998, 0.9960587009479216, 0.996055420128071, 0.9960539821740162, 0.9960539127831554, 0.9960491891971379, 0.9960421319554168, 0.9960353813000198, 0.9960310458709425, 0.9960287302824578, 0.9960271219826613, 0.9960249975241984, 0.996021985485765, 0.9960198643587017, 0.9960175903163329, 0.9960147497406766, 0.9960118014584219, 0.996009329981221, 0.9960060155826981, 0.9960041602306606, 0.9960030402810991, 0.9959978689964163, 0.9959916211360555, 0.9959890892699803, 0.9959833773590475, 0.9959796496046949, 0.9959760140455908, 0.9959739566829316, 0.9959730252517973, 0.9959723246582295, 0.9959711638457033, 0.9959699338520964, 0.9959628704376051, 0.9959598890821835, 0.9959580760250728, 0.9959564765971738, 0.9959547270560365, 0.9959520816691945, 0.995948278550936, 0.9959423483553457, 0.995939466695798, 0.9959338054652965, 0.9959305049566015, 0.9959248869956019, 0.9959208363908044, 0.9959187703639802, 0.9959147478417676, 0.9959084306233579, 0.9959048652307047, 0.99590415717668, 0.9959023218335495, 0.9958985442905837, 0.9958945536925434, 0.9958918813269275, 0.9958894228162645, 0.9958858740693711, 0.995883191428687, 0.9958792228873654, 0.9958754733117948, 0.9958730286313562, 0.9958717999967968, 0.9958662381885905, 0.9958626293862385, 0.9958591252013034, 0.9958564957633014, 0.9958549452849561, 0.9958503577372164, 0.995846096117224, 0.995841957994368, 0.9958363640402347, 0.9958314004298805, 0.9958285832715722, 0.9958285718313138, 0.9958273547607648, 0.9958199332308206, 0.9958066288520031, 0.9958031131350975, 0.9958011653791117, 0.9957955310103809, 0.995791857145169, 0.9957908750288451, 0.9957899315944015, 0.9957759646158973, 0.9957653381643157, 0.9957644980172676, 0.9957623266894269, 0.9957585059361012, 0.9957568237556627, 0.9957569446362411, 0.9957552498809075, 0.9957504873162707, 0.9957382944490216, 0.9957327337875448, 0.9957263340471858, 0.9957211254125242, 0.9957149198734682, 0.9957115418629775, 0.9957099094315291, 0.995709855527961, 0.995701753897164, 0.9956964373595325, 0.9956949834344244, 0.9956856267531703, 0.9956796805263115, 0.9956711570267134, 0.9956650290610871, 0.9956608589813296, 0.9956582245029795, 0.9956566722256147, 0.9956549299404335, 0.9956482310060548, 0.9956416282441722, 0.9956323731245433, 0.9956276278879768, 0.9956253310241857, 0.9956176910736083, 0.9956122864208805, 0.9956094245835125, 0.9956055855558668, 0.9955999488231848, 0.9955928669604157, 0.9955923221199396, 0.9955922273392217, 0.9955884162635027, 0.9955856092435249, 0.9955828192851006, 0.9955808386688527, 0.9955787626408497, 0.9955619805268983, 0.9955482930360677, 0.9955448022845426, 0.9955422639129474, 0.9955406897525482, 0.9955362224095836, 0.995534019043899, 0.9955283945272806, 0.9955238556301691, 0.9955224376127005, 0.9955187784237933, 0.9955159063372313, 0.9955115965908075, 0.9955038723373258, 0.9955018054628115, 0.9954969384155208, 0.9954909814755654, 0.9954864625790818, 0.9954801079151552, 0.9954681025564392, 0.9954623715124542, 0.9954588855760444, 0.9954538419982243, 0.9954509644496653, 0.9954469667424847, 0.995442268528209, 0.9954388882797882, 0.9954327123580768, 0.9954305861833831, 0.9954252646251343, 0.9954219114107626, 0.9954194853285139, 0.9954046229890734, 0.9953916121358186, 0.9953849347091156, 0.9953832956077674, 0.9953777510468547, 0.9953715347220364, 0.9953621010833359, 0.9953552553037319, 0.9953514886439803, 0.9953477336495864, 0.9953445650321702, 0.9953379289896866, 0.9953316293638437, 0.9953271938874638, 0.9953149822990237, 0.9953139312023329, 0.9953136903528191, 0.9953092727278467, 0.9953034839858421, 0.9952985058420525, 0.9952937773530254, 0.9952913275501152, 0.995289458779991, 0.99528810282362, 0.9952857031880669, 0.9952804795867729, 0.9952772707134498, 0.9952732516568927, 0.9952692890368022, 0.9952590806713305, 0.9952495344469008, 0.9952399888293489, 0.9952326695687003, 0.9952312897933937, 0.9952260223430986, 0.9952206779751127, 0.9952062377596657, 0.9951886091882468, 0.9951789640675619, 0.9951718045738341, 0.9951641670335725, 0.9951564383256213, 0.9951508265757268, 0.995147594964984, 0.9951420681397971, 0.9951357499934054, 0.995125929542541, 0.9951068239270365, 0.9950925969680126, 0.9950868385912441, 0.9950817326619581, 0.9950787328739922, 0.9950672842017321, 0.9950498181425286, 0.9950319945942462, 0.9950236669397236, 0.9950220653320778, 0.9950119835443931, 0.9950010764372228, 0.9949938474699492, 0.9949934048560276, 0.9949929336472252, 0.9949840625765027, 0.9949715476986475, 0.9949652647023124, 0.9949590726523617, 0.9949529803709432, 0.9949458195741683, 0.9949385050603079, 0.9949349868934116, 0.9949272912043259, 0.9949193275584762, 0.9949165667192041, 0.9949077381300837, 0.9948912268699519, 0.9948813298197969, 0.994876288534692, 0.9948695902060949, 0.9948669308834733, 0.9948620589274519, 0.9948578637309184, 0.9948531499574497, 0.9948448917014476, 0.9948380452387344, 0.9948331256347409, 0.9948286493664835, 0.9948119006879159, 0.994800573542036, 0.9947933692863234, 0.9947894492513747, 0.9947839016052316, 0.9947729045554783, 0.9947653792307878, 0.9947643158220243, 0.9947584177108237, 0.9947492538716294, 0.9947413428633279, 0.994732464812617, 0.9947272163866767, 0.9947253042529727, 0.9947245570689754, 0.9947173707873399, 0.994699219311151, 0.9946953452093981, 0.994692098576837, 0.9946857620066992, 0.9946819252475785, 0.9946771303003641, 0.9946689147772033, 0.9946442945784821, 0.9946379367235767, 0.9946356855426493, 0.9946340051863014, 0.9946272537453423, 0.9946179788479481, 0.9946087904726704, 0.9946033743283162, 0.9945940908881497, 0.9945914998174478, 0.9945878414592861, 0.9945805821561795, 0.9945708852133603, 0.9945674290874154, 0.9945616728715181, 0.9945569491970265, 0.994553191590406, 0.9945476435720115, 0.9945422792969438, 0.9945389703704118, 0.9945321964410542, 0.9945304064918098, 0.9945288950930561, 0.9945271429263589, 0.9945239614177374, 0.9945178873145847, 0.9945109513629145, 0.9945095627950247, 0.9945071378005521, 0.994503705604054, 0.9944972689583538, 0.9944890786387841, 0.9944820921709848, 0.9944763474336382, 0.9944681636622982, 0.9944565072002047, 0.9944489585634835, 0.9944436333318221, 0.9944356524691847, 0.9944067822205023, 0.9943911305573645, 0.9943881992918193, 0.9943756125567869, 0.994366463023642, 0.9943650185928317, 0.9943619641486743, 0.9943580772832092, 0.9943549499971032, 0.9943383280764233, 0.9943312594879774, 0.9943271083033183, 0.9943239634256515, 0.9943193921350946, 0.9943083595824644, 0.9943022977871363, 0.9942999265310993, 0.9942976687752085, 0.9942949013703717, 0.9942916113021361, 0.9942826718224976, 0.9942728206752247, 0.9942692961602516, 0.9942645314923263, 0.9942586379560991, 0.9942420401876653, 0.994233485581189, 0.9942268521336941, 0.9942137375096782, 0.9942050105407909, 0.9941964406521497, 0.9941865427477359, 0.9941813861115081, 0.9941763989682688, 0.9941687898583752, 0.9941555260172612, 0.994141361746729, 0.9941323365281873, 0.994125830815533, 0.9941200355668608, 0.9941167577081529, 0.9941106705811984, 0.9941053886851985, 0.9940988021435695, 0.9940956646755814, 0.9940914670625953, 0.9940854658144507, 0.9940835067752786, 0.9940812321725022, 0.9940720837691596, 0.9940639947631078, 0.9940603932257175, 0.9940547002198643, 0.994050051101504, 0.9940385829638647, 0.9940262353087466, 0.9940171594908791, 0.9940105709046205, 0.994005030083748, 0.9939901779112349, 0.9939762606898803, 0.9939627622507536, 0.9939568995227239, 0.9939408112904657, 0.9939368902178712, 0.9939252004596448, 0.993912145457048, 0.9939075664827381, 0.9939009809492292, 0.9938842326274508, 0.9938662920568184, 0.9938561700328468, 0.993849003182641, 0.993843164195942, 0.9938327146731912, 0.9938246456614683, 0.9938146937269494, 0.9938090781775116, 0.9938047018066811, 0.9937928399975771, 0.9937769525975082, 0.9937706492956448, 0.9937571957886238, 0.9937470768255848, 0.9937369980993802, 0.9937347035405428, 0.9937293141580098, 0.9937150396636258, 0.9937003383357328, 0.993682969865679, 0.9936783616358345, 0.9936624914911605, 0.9936431116908597, 0.9936368823886306, 0.9936353185946679, 0.9936332126817766, 0.9936288959309543, 0.9936209072976304, 0.9936139995445862, 0.9935998484701829, 0.9935901646334642, 0.9935842770582001, 0.9935750574691519, 0.99356488442278, 0.9935606552485483, 0.9935572534657979, 0.993548004104849, 0.9935410728801638, 0.9935306730579847, 0.9935199305568749, 0.9935122672378359, 0.9935042670124747, 0.9934956574893783, 0.9934900730657643, 0.9934644361148746, 0.9934575236542615, 0.9934524630988173, 0.9934373452410302, 0.9934268103069888, 0.9934206396908201, 0.9934122294245555, 0.9934061840272402, 0.9933993137217981, 0.9933949410950168, 0.9933917404760957, 0.9933761988957672, 0.9933590482168715, 0.9933494223776417, 0.9933366945498344, 0.9933156843373738, 0.9933082503310326, 0.9933034513406123, 0.9933008588749007, 0.9932852142114482, 0.993272670035365, 0.9932600818060282, 0.9932469263444172, 0.9932312007327826, 0.9932188165091826, 0.9932084559521177, 0.9932073532872054, 0.9932015785363724, 0.9931925056912766, 0.9931878939663641, 0.9931769498513334, 0.9931678775534619, 0.9931531832652769, 0.9931256121924831, 0.993113967826478, 0.9930991260470323, 0.9930907933843358, 0.9930838148849596, 0.9930771838346836, 0.9930643789252818, 0.9930513875854764, 0.9930481142235565, 0.9930435236421344, 0.993036310098755, 0.9930294981491903, 0.9930189393760644, 0.9930046263471723, 0.9929863056550953, 0.9929663097569839, 0.9929611898285828, 0.9929511949482319, 0.9929442332822125, 0.992935197466652, 0.9929321013665164, 0.9929229196380797, 0.9929080502032146, 0.9928977770460228, 0.9928901323373998, 0.9928790864818478, 0.9928660245021446, 0.9928580390938232, 0.9928552017509137, 0.9928495962509114, 0.9928288217443193, 0.992825944343602, 0.9928150493749663, 0.9927978277465515, 0.9927854327317871, 0.9927796263710114, 0.9927741309888718, 0.9927714345653891, 0.9927707396836805, 0.9927676144152379, 0.9927636716320564, 0.9927566804640805, 0.9927486404310952, 0.992744586476763, 0.992737500844403, 0.9927193531734634, 0.9927057485744117, 0.9926978371255422, 0.992686022743965, 0.9926797326382104, 0.9926737950037527, 0.9926693742969831, 0.9926639920111602, 0.9926538036313302, 0.9926387830992381, 0.99262112948802, 0.9926129224693063, 0.9926049395770815, 0.9925876669503708, 0.9925779508834052, 0.9925701937585976, 0.9925594152486924, 0.9925494505723984, 0.9925445801690695, 0.9925337152436611, 0.9925168772155364, 0.9925131238068245, 0.9925046263033435, 0.9924917715271855, 0.9924760719089235, 0.9924742005624967, 0.9924587931348613, 0.9924464783400119, 0.9924366752076539, 0.9924258291802239, 0.9924191139501555, 0.9924122917126932, 0.9923970503524326, 0.9923906686507579, 0.992376593871882, 0.9923674893360677, 0.9923649795575493, 0.9923560952015472, 0.9923440211051204, 0.9923255318843133, 0.9923171890265573, 0.9923052791002349, 0.9923003070553704, 0.9922857414520367, 0.9922766283564932, 0.9922678955793705, 0.9922606039161981, 0.9922490642792765, 0.9922363967492254, 0.9922220217139944, 0.9921990946218179, 0.9921876252405113, 0.992179895113051, 0.9921710219303133, 0.9921663228954007, 0.9921586702822325, 0.9921470322100978, 0.9921225476784777, 0.9921151561435774, 0.9921079608985548, 0.9920992097147459, 0.9920894436412098, 0.9920800433886208, 0.9920687792594873, 0.9920621899742109, 0.9920497304741502, 0.9920348974545741, 0.9920286575517625, 0.9920219900479483, 0.9920171494781054, 0.9920064488976595, 0.9919973702756375, 0.9919815997228247, 0.9919601491234886, 0.9919465670269639, 0.9919315853447424, 0.9919193937902746, 0.9919085913368834, 0.9918950869311003, 0.9918831216056616, 0.9918723025632938, 0.9918435710261659, 0.991827145251836, 0.991817053198962, 0.9918062599545778, 0.9917929829605397, 0.9917896702094995, 0.9917875975281545, 0.991776570788738, 0.9917647519620025, 0.9917566635545378, 0.9917492586820793, 0.9917377505161384, 0.9917209502140021, 0.9917085603601934, 0.9916975405021741, 0.9916924457652105, 0.991676227938368, 0.9916735975846831, 0.9916670924194542, 0.9916598695665091, 0.9916494085838934, 0.9916408279329715, 0.9916326598694939, 0.9916228111300118, 0.9916146807293675, 0.9916002839616362, 0.9915853283869145, 0.9915692310635736, 0.9915535639587018, 0.9915438403713714, 0.9915321444889059, 0.9915249964792097, 0.9915101212998669, 0.9914889407217802, 0.9914753982185467, 0.9914622163663209, 0.9914453086476266, 0.9914265461175298, 0.9914126816859807, 0.9913998890536487, 0.9913818048506362, 0.9913728524865119, 0.9913547854199994, 0.991332298882287, 0.991317559274685, 0.9913118221270003, 0.9913056310414896, 0.9912978968283241, 0.9912922770325404, 0.9912846213841451, 0.9912716179884832, 0.9912425047236134, 0.9912191210396423, 0.991211633181354, 0.9912036639909916, 0.9911951011813989, 0.991189716250061, 0.9911778746198485, 0.9911620359708566, 0.991154811031951, 0.9911438155322421, 0.991132701988195, 0.9911191567163491, 0.9911145419604852, 0.9911038764385627, 0.9910957333324425, 0.9910866666853524, 0.991072183540224, 0.9910579015597814, 0.9910460731170398, 0.9910321964242333, 0.991018217836233, 0.9910078271713463, 0.9909952555519197, 0.9909748529537079, 0.9909620508398427, 0.9909489867042738, 0.9909299028829757, 0.9909118831631158, 0.9908974629157545, 0.990883836873595, 0.990878265750937, 0.9908692980591568, 0.9908534781129164, 0.9908361629042823, 0.9908154413797301, 0.9908054196036804, 0.9907970216276482, 0.9907874304522546, 0.9907761419795704, 0.9907671139202416, 0.9907615395817078, 0.9907529950457057, 0.9907421683922901, 0.9907352019268252, 0.990721974996325, 0.9907102470771911, 0.9906958147336846, 0.9906771652477195, 0.990654640460785, 0.99063950219043, 0.9906315139149335, 0.9906224590164664, 0.9906121579360382, 0.990600102655586, 0.9905868315756744, 0.9905766144885073, 0.9905707785569191, 0.990561693264992, 0.9905531474524703, 0.9905485763860241, 0.990545986829692, 0.9905358790249179, 0.9905194859413209, 0.9905089485591196, 0.9904983072369455, 0.990475437624438, 0.9904509589473762, 0.9904345326374991, 0.990418523154635, 0.9904061966169141, 0.9903887542374168, 0.9903815760072717, 0.9903768331618057, 0.9903735061407599, 0.9903574371941517, 0.9903434661746955, 0.9903354165287831, 0.9903275416043225, 0.9903162034291149, 0.9903070428309859, 0.9903013994006175, 0.9902892560944294, 0.9902722465339552, 0.9902623615213604, 0.9902582880448747, 0.9902531330607001, 0.9902438213421203, 0.9902293671665694, 0.9902150184475261, 0.9902067665604268, 0.9901994533978666, 0.990186142729349, 0.9901692813022799, 0.9901589493500331, 0.990145680563153, 0.9901368502608205, 0.9901263568493384, 0.9901158540663477, 0.990110049913835, 0.9901073793612043, 0.9900935265866031, 0.9900818218487575, 0.9900717133854553, 0.9900561097406249, 0.9900515332665908, 0.9900479479882549, 0.9900276315072906, 0.9900150793646989, 0.9899977154433004, 0.9899883030627732, 0.9899771608067205, 0.9899703147433188, 0.9899576544748874, 0.989938181618947, 0.9899145534002856, 0.9899035708812443, 0.9898903114790447, 0.989876197696024, 0.989857830726889, 0.9898481501423693, 0.9898405689103178, 0.9898270325668983, 0.9898206822134459, 0.9898024934339412, 0.9897872310604321, 0.9897724130162692, 0.9897569951665659, 0.9897433939158733, 0.9897326578606911, 0.9897163146835232, 0.9897048988728293, 0.9896945083492005, 0.9896850762539264, 0.9896745228099018, 0.9896660129826996, 0.9896557049438275, 0.9896382728348372, 0.9896145912987167, 0.9895942322850457, 0.989582380766317, 0.9895748748914174, 0.9895619543116065, 0.9895550514266869, 0.9895482978651902, 0.9895356586119398, 0.9895216914389291, 0.9895127116046748, 0.9894954754714287, 0.9894641079616826, 0.9894437093668917, 0.9894324935737289, 0.9894190470257718, 0.9894021824176772, 0.989375169296847, 0.9893639003887131, 0.9893491368031746, 0.9893361506202929, 0.9893235634776933, 0.9893043917227456, 0.9892738109890564, 0.9892593145119385, 0.9892460775828265, 0.9892363146632968, 0.9892245613503055, 0.9892162774427009, 0.9892049851187438, 0.9891905279260691, 0.9891750876246445, 0.9891421958460647, 0.9891262139242126, 0.9891062564023057, 0.9890943276036144, 0.9890796224851168, 0.9890717144160804, 0.9890563866733141, 0.9890482816388595, 0.9890303112119434, 0.9890015504314597, 0.9889857408780472, 0.988968259344859, 0.9889589067855382, 0.9889490517583059, 0.9889413893820931, 0.9889195759997291, 0.9889087404002819, 0.988888546261821, 0.9888539102270719, 0.9888396826279104, 0.9888296422953428, 0.988813910934476, 0.9887970150416494, 0.9887849889534377, 0.9887735159771203, 0.9887600387601774, 0.9887553492686496, 0.9887340406090122, 0.9887127157841162, 0.9886992301654749, 0.9886835667966272, 0.9886684593461841, 0.9886572153671082, 0.9886488336223538, 0.9886318198035241, 0.9886115110921965, 0.9885996036610873, 0.9885891318614866, 0.9885695998257755, 0.988559734717677, 0.9885544903952269, 0.9885481649713088, 0.9885374096489294, 0.9885266600597784, 0.9885104325106429, 0.9884976152187865, 0.9884830436961689, 0.9884690077020527, 0.988446776223515, 0.988425014652105, 0.9884005458899361, 0.9883785871444059, 0.9883713519025198, 0.9883584373097991, 0.9883377651644387, 0.9883289432308784, 0.9883169331750328, 0.9883045929442625, 0.9882801929664304, 0.9882522698632259, 0.9882404353928387, 0.9882267376024004, 0.9882148688252086, 0.9882005844776678, 0.9881786935533976, 0.9881590842365873, 0.9881432689805514, 0.9881285323228552, 0.9881114893807583, 0.988097647327179, 0.9880799775396307, 0.9880597022898364, 0.9880368708047773, 0.9880175703523659, 0.9880019543763661, 0.9879918416730419, 0.9879803316906777, 0.9879672767797796, 0.9879562996140541, 0.987943263787129, 0.9879179006780257, 0.9878943438958838, 0.9878757796609559, 0.9878559724636513, 0.9878459293302707, 0.9878260268772849, 0.9878040467212289, 0.9877783180272907, 0.9877451439509943, 0.9877326987807497, 0.9877219166306273, 0.9877063207651574, 0.9876953054795952, 0.9876863000502766, 0.987664452585683, 0.9876503603720803, 0.98764050918143, 0.987632023074055, 0.9876040360855589, 0.987589072840253, 0.9875767105431013, 0.9875616107470658, 0.9875396336754714, 0.9875007460889298, 0.98747361975783, 0.9874648900285803, 0.9874550590374805, 0.9874449246190018, 0.987436422595088, 0.9874160091796849, 0.9873908678960119, 0.9873777097137735, 0.9873661394118027, 0.9873500628036572, 0.9873331305178131, 0.9873210408948855, 0.9873086714076983, 0.9872899986118809, 0.9872761395795351, 0.9872599206638839, 0.9872535345402558, 0.9872392371743479, 0.9872241382517197, 0.9872107948010957, 0.9871915878701152, 0.9871806672244996, 0.9871725494892812, 0.9871649004861571, 0.9871602247896041, 0.9871509912435013, 0.9871103014570893, 0.9871045750937097, 0.9870816152671331, 0.9870722990940702, 0.9870596482984861, 0.9870403191664977, 0.9870295862359288, 0.987020598866341, 0.9870081231491015, 0.9869954616073595, 0.986982721259724, 0.9869670357724466, 0.9869546277880394, 0.9869325096704733, 0.9869212446967752, 0.9868987961045708, 0.9868829944709022, 0.9868595780803736, 0.9868397890238069, 0.986821199604224, 0.9868034646386346, 0.9867876655066798, 0.9867640574852703, 0.9867451723223666, 0.9867346134293031, 0.9867198060802056, 0.9867042493663682, 0.9866829928040675, 0.9866676182476777, 0.9866549315889491, 0.9866493553760981, 0.9866402425375564, 0.9866298857634362, 0.9866141113193267, 0.98659958471804, 0.9865814475280279, 0.986570727324113, 0.9865507541128073, 0.9865219414239386, 0.9865089844986175, 0.9864875877308052, 0.986478964958887, 0.9864673900250768, 0.9864538408015064, 0.9864363128209608, 0.9864193213237346, 0.9863974896220278, 0.986384922646466, 0.9863696417117257, 0.9863578607049918, 0.9863407645529778, 0.9863181162394492, 0.9862956313570922, 0.986275068724054, 0.9862443822600402, 0.9862283815104961, 0.986202523129425, 0.9861830664172209, 0.9861697582819308, 0.9861548650827289, 0.9861307557997053, 0.9861021433428996, 0.9860918900169026, 0.9860687054212545, 0.9860567040535149, 0.986044304105257, 0.9860317418140112, 0.9860151364176075, 0.9859971405923442, 0.9859793529831794, 0.9859510966128276, 0.9859264138335677, 0.9858976595748877, 0.9858756128583372, 0.9858599174197269, 0.9858414333827237, 0.985811205527467, 0.9857927335785193, 0.9857786898770712, 0.9857704626526145, 0.9857576537924311, 0.9857411829979565, 0.9857310103011852, 0.9857181666270209, 0.9856982490719285, 0.9856763524184302, 0.985660447185505, 0.9856495028312842, 0.9856371578580094, 0.9856153659087136, 0.9855950759897307, 0.9855806552612436, 0.985555687379825, 0.985542281952533, 0.9855302853967309, 0.9855129622017702, 0.9854918587240407, 0.9854502719020712, 0.9854276009442648, 0.9854037824650557, 0.9853824560935813, 0.985364841375978, 0.9853465690485348, 0.9853328229099324, 0.9853172206666083, 0.9852905121700131, 0.9852800311393699, 0.9852683510453811, 0.9852581099662796, 0.9852342571658331, 0.9852045595638605, 0.9851910978268645, 0.9851800463823266, 0.9851628427507941, 0.9851380751527952, 0.9851220118502466, 0.9850993821455463, 0.9850727969608527, 0.9850613091443587, 0.9850385852214201, 0.9850169645113219, 0.9849993218977908, 0.9849878752941991, 0.9849800077429364, 0.984966049741413, 0.9849542311281458, 0.9849425306592301, 0.9849149081742121, 0.9849025779618152, 0.9848704087801639, 0.9848500426885645, 0.9848429070176292, 0.984828255080026, 0.9848138735007297, 0.9848003003748625, 0.9847794219906579, 0.9847470335673512, 0.9847357137545508, 0.9847133559110224, 0.9846676963178509, 0.9846575091533332, 0.9846529810082671, 0.9846381861659486, 0.984617899060348, 0.9845893601435713, 0.9845748996877195, 0.9845601036914526, 0.9845413568885732, 0.9845208102972689, 0.984500600401488, 0.9844714102334884, 0.9844541735982291, 0.984442757105179, 0.9844178756571291, 0.9843904161762911, 0.9843605001029105, 0.9843401330292387, 0.9843282370990201, 0.9843104000311335, 0.9842901888485481, 0.9842777697932386, 0.9842538878151287, 0.9842155962287635, 0.9841969549384008, 0.9841881364881538, 0.984173895467982, 0.9841608445550949, 0.98413703421757, 0.9841239412437053, 0.9840983145887805, 0.9840769133998197, 0.9840517035855283, 0.9840305371329192, 0.9839904331127296, 0.983970952723732, 0.9839575689188516, 0.983933609494138, 0.9839064657257819, 0.9838753495247994, 0.9838496777467183, 0.9838288398851356, 0.9838021476753169, 0.9837877556136783, 0.98377010617736, 0.9837581693381462, 0.9837501249690845, 0.9837189744871073, 0.9836914578763202, 0.9836790929472956, 0.983668355374979, 0.9836561696260526, 0.9836383023632965, 0.9836134893180963, 0.9835894925948523, 0.983571614549551, 0.9835620798200533, 0.9835394573931552, 0.983519139208455, 0.983496994749276, 0.9834797049442837, 0.9834721580561157, 0.9834548688371876, 0.9834421412422077, 0.9834233472655853, 0.9833964552246004, 0.9833763079506537, 0.9833587131102672, 0.9833453674787198, 0.983324431407602, 0.983301849346645, 0.9832821445132736, 0.9832628173960267, 0.9832513087871514, 0.983238385299423, 0.9832187558842486, 0.9832032920936989, 0.9831841890574403, 0.9831648959075184, 0.9831519398443989, 0.9831404613170107, 0.9831178224104774, 0.9830995087048983, 0.9830832808671405, 0.9830579061218605, 0.9830395396472593, 0.9830191610925194, 0.9830053287573783, 0.982992299555218, 0.9829679482502288, 0.9829468334908573, 0.9829281479893331, 0.9829094102704807, 0.9828937798175349, 0.9828835620456744, 0.9828661867070569, 0.9828516248808756, 0.9828357099287988, 0.9828008850813136, 0.982780752346729, 0.9827764154382439, 0.9827534146350902, 0.9827351135886027, 0.9827231457207739, 0.9827086565229102, 0.9826919863183718, 0.9826797048337007, 0.9826403052802013, 0.9826139546067807, 0.9825980756921762, 0.9825910650290197, 0.982583730675661, 0.9825704945616001, 0.9825448306166986, 0.9825317439317414, 0.9825213626472122, 0.9825131014272556, 0.9825030378503332, 0.982489511846929, 0.9824768920807831, 0.9824636777142193, 0.9824551589227095, 0.9824470406627639, 0.9824388453208148, 0.9824219629387554, 0.9824092598448066, 0.9824005336965003, 0.982388959667865, 0.9823682472303255, 0.9823476541828632, 0.982336246757072, 0.9823238222665088, 0.9823059061703547, 0.9822710165938563, 0.9822497203634757, 0.9822356603417732, 0.982224914240448, 0.9822039276187917, 0.9821851323713371, 0.9821773418914471, 0.9821569593479111, 0.9821397640814076, 0.9821177834490543, 0.9821092706301027, 0.9820972166992177, 0.9820863697491805, 0.9820677303704415, 0.9820486076291937, 0.9820401505311884, 0.982028465341462, 0.9820134768006166, 0.9819951381926887, 0.9819807684928604, 0.9819715599284915, 0.9819520608182377, 0.9819379655659666, 0.9819211325768207, 0.9819078904325445, 0.9818991094517555, 0.9818891625475361, 0.9818776138375588, 0.9818599225923179, 0.9818375267061408, 0.9818257139715456, 0.981818100762599, 0.9818015815847465, 0.9817829296027196, 0.9817632751161112, 0.9817440603861787, 0.9817184041090226, 0.9817037707179606, 0.9816824627154734, 0.9816637045624579, 0.9816511552560793, 0.9816375816699777, 0.9816313787124982, 0.9816156342399833, 0.9815945886933759, 0.9815824177142458, 0.981559871417263, 0.9815338160315192, 0.981523984425702, 0.9815068112087864, 0.9815029076178097, 0.9814769372285559, 0.9814720549655855, 0.9814547263527573, 0.9814392894344665, 0.9814220699846645, 0.9814073154603599, 0.9813794416624555, 0.9813520122088004, 0.9813249619197746, 0.9813072749398313, 0.9812933684370395, 0.9812553860483493, 0.9812367528028642, 0.9812332185384973, 0.9811989749979717, 0.9811723569529107, 0.9811563431931751, 0.981134122315104, 0.9811074843884042, 0.9810950396459607, 0.9810741300431742, 0.981063529180993, 0.9810500415590695, 0.9810366329453493, 0.9810179948558554, 0.9810112163892744, 0.9810023965530483, 0.980991772936044, 0.9809815724951356, 0.980966057701239, 0.9809517640962049, 0.9809325230067013, 0.9809132418309384, 0.9808947972396073, 0.980885605931816, 0.9808685795615701, 0.9808597003309824, 0.9808397433943715, 0.9808255076493819, 0.9808016612838133, 0.9807778926803701, 0.980761434916724, 0.9807418843449123, 0.9807331417358482, 0.9807184635479403, 0.9806942335279547, 0.9806826845697859, 0.9806666560914186, 0.9806416177727468, 0.9806307130321983, 0.9806209139337984, 0.9806005959213313, 0.9805797552174267, 0.9805571703591974, 0.9805378212481318, 0.9805225756226357, 0.9805142040968715, 0.9804997071679671, 0.9804878795594155, 0.9804743632699886, 0.9804592224306199, 0.9804460675585869, 0.9804297670500441, 0.980408445176224, 0.9803900489655863, 0.980371856462426, 0.9803643304666498, 0.9803466786909352, 0.9803316686162531, 0.9803145029134002, 0.9802960615234877, 0.98028447367873, 0.9802718322082944, 0.9802572047030792, 0.9802391865385274, 0.980231213021973, 0.9802244495321819, 0.9802045739820464, 0.9801954973630721, 0.9801852171455505, 0.9801647104546771, 0.9801443441859454, 0.9801330266226461, 0.9801239961819427, 0.9801101863724717, 0.9800949316711355, 0.9800817577942947, 0.9800659298810301, 0.9800545708424839, 0.9800420138104382, 0.9800304867115284, 0.9800188645059336, 0.980010864259383, 0.9799983556007543, 0.9799806295302554, 0.9799680399229427, 0.9799507580988114, 0.9799384136892257, 0.9799294116280266, 0.9799204599895275, 0.9799148723770219, 0.9799000487344977, 0.9798874481467428, 0.9798751436072255, 0.9798630799362276, 0.9798518740419233, 0.9798378477551173, 0.9798232834033844, 0.9798123317211533, 0.9797991514835153, 0.9797930684258802, 0.9797891181263341, 0.9797823041364142, 0.9797672051073361, 0.9797570258685517, 0.9797417708367393, 0.9797331410899262, 0.9797237583382115, 0.9797015410135963, 0.9796858645024322, 0.9796680571036933, 0.979652123433989, 0.9796359552664149, 0.9796216984872381, 0.9795941765598996, 0.97957538701985, 0.9795606282713726, 0.9795434222800705, 0.9795242703563763, 0.9795144008395273, 0.9795048844752199, 0.9794927547755314, 0.9794793235346737, 0.9794638096453365, 0.9794495962023873, 0.9794347041771343, 0.9794261324598625, 0.9794116263263857, 0.979399199774974, 0.9793704580301459, 0.979344007145079, 0.9793205824554551, 0.9792944784916247, 0.9792807054484445, 0.9792691704599013, 0.9792573293494624, 0.9792355695126078, 0.9792126163256587, 0.9791974872464473, 0.9791868728598334, 0.979171215129307, 0.9791556903334653, 0.9791387895163054, 0.9791201094951794, 0.9791029197707328, 0.979082112846507, 0.9790589750389718, 0.9790397438571555, 0.9790269512669825, 0.9789961126161626, 0.9789676194529167, 0.97895110547989, 0.9789309511986165, 0.9789122246170948, 0.978889143568647, 0.9788701601090106, 0.9788555976437958, 0.9788363359793868, 0.9788116956987325, 0.9787935639781244, 0.9787653344544902, 0.9787352552037993, 0.9787154413324824, 0.9786968461624992, 0.9786824745118266, 0.9786616280596048, 0.9786321148607411, 0.9786140625171424, 0.9785985688705299, 0.9785787796650225, 0.9785613594636919, 0.9785487844354492, 0.9785316796140431, 0.9785158353282846, 0.9784908713871052, 0.9784678718973495, 0.9784423542622601, 0.9784218680177682, 0.9784127286007132, 0.9783997871882266, 0.9783878387587802, 0.9783797149435756, 0.9783688714120867, 0.9783551832558439, 0.9783346305682066, 0.9783104201262018, 0.9783011906097094, 0.9782807015857568, 0.9782429534725005, 0.9782141567238356, 0.9781933302196404, 0.9781714838646742, 0.9781569341347278, 0.9781410850155554, 0.9781183490509648, 0.978101018249544, 0.978082394748933, 0.9780671922447516, 0.9780443851898548, 0.9780234597702147, 0.9780084871384138, 0.9779909834592551, 0.9779704185025555, 0.977935962618765, 0.9779120885026454, 0.9778883396973774, 0.9778667254000443, 0.9778465605231283, 0.9778301858429004, 0.9778149346300183, 0.9777953003791444, 0.9777801120800531, 0.9777612836106119, 0.9777345522461769, 0.9777167835093021, 0.9776979244004125, 0.9776891330593559, 0.9776694894185011, 0.977658469528554, 0.9776254365173995, 0.9776058947258681, 0.9775871796283908, 0.9775725488751059, 0.9775451531703558, 0.9775176618600043, 0.9774996524722108, 0.9774821269343643, 0.9774683024789187, 0.977449896097192, 0.9774292014146575, 0.9774152168601428, 0.9774030246016143, 0.9773863213377713, 0.9773657593490872, 0.9773512397544446, 0.9773370908424808, 0.9773140813883487, 0.9772877741095678, 0.9772570983001334, 0.9772404814085804, 0.9772225545992854, 0.9772070658186041, 0.9771999298092868, 0.977190584930115, 0.9771780335377257, 0.9771702448077518, 0.9771523049788979, 0.977135363719539, 0.9770926080425736, 0.9770709970639019, 0.9770523346539401, 0.9770349626860937, 0.9770120974039502, 0.9769958342242573, 0.9769800287065318, 0.9769584889069733, 0.9769404550644063, 0.976925509786075, 0.9769121647268282, 0.9768926708179906, 0.976871725319036, 0.9768503685485688, 0.9768352156802037, 0.9768178429441039, 0.9767906034684855, 0.9767703157180354, 0.9767540193934945, 0.9767343479931729, 0.97671761174001, 0.9767013894634327, 0.976671923836308, 0.9766435100920305, 0.9766149685719103, 0.9765808437580732, 0.9765617572026966, 0.9765414270231394, 0.976519706512448, 0.9765015088469963, 0.976475494047103, 0.9764314513486629, 0.9764165929142449, 0.9764051294507993, 0.9763828739007049, 0.9763719444563591, 0.9763579684607315, 0.9763164997894829, 0.9763050230707453, 0.9762802347569419, 0.9762511625910855, 0.9762101206812541, 0.9761810042612337, 0.9761378787483119, 0.9761048463163776, 0.9760781267332552, 0.9760594737892593, 0.9760423484445799, 0.9760254025023413, 0.9759951820428725, 0.9759565119908453, 0.9759381764451385, 0.9759173682178188, 0.9758818101660856, 0.9758562375922126, 0.9758187434948359, 0.9757847411619027, 0.9757626407085356, 0.9757415321171818, 0.9757261758767484, 0.9757161708227279, 0.9756965141186149, 0.9756648675212511, 0.9756365954000472, 0.9756164641307421, 0.9755924101491034, 0.9755719966054045, 0.9755420427018155, 0.9754852482283936, 0.9754502568528716, 0.975433745319408, 0.9754132496311446, 0.9753994850014941, 0.9753873471896723, 0.9753652990144355, 0.9753508444866019, 0.9753157079119255, 0.9752919933299228, 0.975268827567555, 0.9752462969220974, 0.9752274657900077, 0.9752026159042719, 0.9751681886814949, 0.9751550347292202, 0.9751440384056026, 0.9751118350772395, 0.9750957284217792, 0.9750830876353589, 0.9750659164477793, 0.9750470752798018, 0.9750279071794026, 0.9750080591202668, 0.9749773658483245, 0.974946433370802, 0.9749210123768148, 0.9749019086068487, 0.9748854399338247, 0.9748711310192029, 0.9748519247564014, 0.9748350537880206, 0.9748203957396486, 0.9747959071567085, 0.9747659784661444, 0.9747486574256157, 0.9747332521752095, 0.9747097202797164, 0.97467900440532, 0.974650822776947, 0.9746240689248259, 0.9746025669714455, 0.9745754394838697, 0.9745517023904962, 0.9745294776500694, 0.9745188678066135, 0.974498511783906, 0.9744713617182439, 0.9744380048867212, 0.9744259960509899, 0.974408003876692, 0.974384071706137, 0.9743590182155915, 0.9743360754061772, 0.9743088432851383, 0.9742841567360905, 0.9742676756183144, 0.9742415373029183, 0.9742182841571696, 0.9741988317735923, 0.9741809542068123, 0.9741634415907843, 0.9741344718710969, 0.9741096298921976, 0.9740855106474475, 0.974063733442088, 0.9740500324830428, 0.97403660860364, 0.9740192883616825, 0.9740019053736824, 0.9739698162442458, 0.973937342871952, 0.9739168729582031, 0.9739012581742004, 0.9738826118806825, 0.9738589247380454, 0.9738345697222406, 0.9738225895657545, 0.9738031794637638, 0.9737768873458901, 0.9737560948630064, 0.9737431444479177, 0.9737198934838395, 0.9736960417610891, 0.9736654833367655, 0.9736400134792438, 0.973615758127283, 0.9735918198444713, 0.9735660231045367, 0.9735485357561366, 0.9735240599395497, 0.973504764099066, 0.9734910798832763, 0.9734504475323267, 0.9734341160325433, 0.973412090928535, 0.9733866630314365, 0.9733637327027653, 0.9733167097965243, 0.9732857494190909, 0.9732720684214522, 0.9732452626335837, 0.9732231415765931, 0.9732006884041653, 0.9731695392380624, 0.9731445943470439, 0.973125734375984, 0.9730953939851623, 0.9730556480476036, 0.9730306204745582, 0.9730058548957681, 0.9729828719166331, 0.9729706122528726, 0.9729513819444269, 0.9729221847555316, 0.9728949555507489, 0.9728675194870005, 0.9728395779927024, 0.9728142846603308, 0.9727975371786857, 0.97276864203971, 0.972749320362606, 0.9727164231143649, 0.9726850275530476, 0.9726530251462986, 0.9726229934639652, 0.972604315604132, 0.9725858596780881, 0.9725621873611148, 0.9725347654447327, 0.9725065951069167, 0.9724839472665827, 0.972472509906653, 0.9724450002141227, 0.972414493644912, 0.9723912176924001, 0.9723647536197233, 0.9723452861446013, 0.9723282081470419, 0.9722995418909871, 0.9722797100408631, 0.9722549483616287, 0.972222482094433, 0.9722015026228603, 0.9721677431966309, 0.9721498535530616, 0.9721215099532452, 0.972085206098861, 0.9720644236068212, 0.972041169443036, 0.9720157873521891, 0.9719892589119925, 0.9719734917444457, 0.9719592615892175, 0.9719382165287977, 0.9719100105021805, 0.9718880843631377, 0.9718674861184422, 0.9718500311117984, 0.9718261173375928, 0.971799133602351, 0.9717783570538264, 0.9717638073003554, 0.9717483467851886, 0.9717346883874597, 0.9717193660525079, 0.9716939402877961, 0.9716735329503863, 0.971652989917752, 0.9716246219511103, 0.9716103285634438, 0.9715971748493086, 0.9715833025511222, 0.9715584204699934, 0.9715311852973707, 0.9715051185367031, 0.9714823780529853, 0.9714486673253901, 0.9714286064292978, 0.9714057603071049, 0.9713785120580902, 0.9713493375165247, 0.9713052089115433, 0.9712704199980504, 0.971255664625555, 0.9712436302609957, 0.9712208330971641, 0.9711986666392799, 0.9711624486104746, 0.9711304554516202, 0.9711082480766295, 0.9710849417780116, 0.9710550489724483, 0.971040582681941, 0.9710203614678707, 0.9709987354163425, 0.9709754509207962, 0.9709494356300383, 0.9709313928478168, 0.9709071726310585, 0.9708826748828709, 0.9708511623208176, 0.9708169336101097, 0.9707843794096576, 0.9707579644745643, 0.970737494551791, 0.9707141670869834, 0.9706852585292893, 0.9706594132006674, 0.97063800175431, 0.9706056302493417, 0.9705808997702761, 0.9705577771551375, 0.9705364916063488, 0.9705171107727977, 0.9704857156611506, 0.9704538979876782, 0.9704245780387677, 0.9703906659332069, 0.970364661371313, 0.970345863842848, 0.9703291828482414, 0.9703156519084081, 0.9702917143807275, 0.9702617005878064, 0.9702149415995325, 0.9701761809629591, 0.9701484027236926, 0.9701230280114859, 0.970094390072022, 0.9700629762112671, 0.9700180721662135, 0.9699821706837323, 0.9699573651186671, 0.9699271127824757, 0.9699006676325056, 0.9698701740440445, 0.96984363305087, 0.9698149099906352, 0.9697786604190877, 0.9697556677203036, 0.969728238875932, 0.9697004296259706, 0.9696773200926734, 0.9696514023773144, 0.9696353301962964, 0.9696200829771866, 0.9696004051989678, 0.9695700247118428, 0.9695384317468259, 0.9695121935037226, 0.9694756016300403, 0.9694399279325226, 0.9694092100133458, 0.9693693208607911, 0.9693436643091052, 0.9693162268435533, 0.9692868011656288, 0.9692581882379964, 0.9692299061783312, 0.9692024130853505, 0.9691761922465776, 0.9691479988039436, 0.9691073846504188, 0.9690934294276772, 0.9690619313863469, 0.9690433866117854, 0.9690233214664231, 0.9689966418108954, 0.9689740405174342, 0.9689307623913438, 0.9688961250376977, 0.9688718983325533, 0.9688502063169169, 0.9688266465883271, 0.9688014460404322, 0.9687675133627787, 0.9687408563695721, 0.96870952827953, 0.9686799249739105, 0.9686520209781002, 0.9686199790666639, 0.9685822900671601, 0.9685585566228668, 0.9685314276837469, 0.9685027675234936, 0.9684722095816852, 0.9684349932944127, 0.9684075575320572, 0.9683856041220222, 0.9683603130311494, 0.9683316662321376, 0.9683151214937762, 0.9682905436108074, 0.968267429311271, 0.9682321033788053, 0.9682038794012411, 0.9681738909103179, 0.9681497828108192, 0.9681216129002483, 0.968094387716363, 0.9680725983812795, 0.9680449268266857, 0.9680230277470443, 0.9680038234431407, 0.9679812598718176, 0.9679325845605049, 0.9679022301262448, 0.96787822776083, 0.967843584164205, 0.9678061815223864, 0.967783957335325, 0.9677533298347591, 0.967730075104006, 0.9677043306873172, 0.9676703372198983, 0.9676510212071274, 0.9676266813096923, 0.9675979799791847, 0.9675849533862749, 0.9675587626877795, 0.967533225311607, 0.9675096280439102, 0.9674533273514883, 0.9674303008372465, 0.9674089203912719, 0.967387030163217, 0.9673651579818011, 0.9673434322697081, 0.9673237882522041, 0.9673021631067444, 0.9672785477028227, 0.9672544387752502, 0.9672297989457992, 0.9672040865284781, 0.9671865488590139, 0.9671587508073164, 0.9671360766389472, 0.967111702669329, 0.9670806459313155, 0.9670332548363088, 0.9669976916817546, 0.9669789073629075, 0.9669594195899589, 0.9669298832636626, 0.966903217704669, 0.9668750442488327, 0.9668493687434812, 0.9668275597552495, 0.966796007916971, 0.9667610382210543, 0.9667352366385131, 0.9667047767500975, 0.9666795247375182, 0.9666630389185867, 0.9666393572839614, 0.9666052845894079, 0.9665756508091401, 0.9665361982646984, 0.9664983208704045, 0.9664707099121836, 0.9664469073336674, 0.9664266337278404, 0.9663943713107996, 0.9663649570237012, 0.9663439132479075, 0.9663014525242004, 0.9662680489795286, 0.9662397706093628, 0.9662205528631109, 0.9661708032557059, 0.9661373716025914, 0.966108390526391, 0.966084159226214, 0.9660582307182459, 0.9660289382853692, 0.9660103956721479, 0.9659797419266328, 0.9659384388060606, 0.9659185291502308, 0.9658820004414927, 0.9658400739922293, 0.9658089118041902, 0.9657781922731445, 0.965749067102899, 0.9657253945590574, 0.9656954029715906, 0.9656730872804087, 0.9656599059798757, 0.9656451213127168, 0.9656102014693784, 0.9655772209445459, 0.9655461914724854, 0.9655203185538743, 0.965490126654816, 0.9654456898565378, 0.9654004334687005, 0.9653713734330905, 0.9653420589069456, 0.965317418632916, 0.9652881688938848, 0.9652681547140347, 0.9652180843837743, 0.9651941389946743, 0.9651467129082698, 0.9651101758395103, 0.9650699660833328, 0.9650390368549274, 0.9650095114267787, 0.9649742511129176, 0.9649269560498712, 0.9648801869093431, 0.964833800244846, 0.9648064140594289, 0.9647790076009644, 0.9647399156421825, 0.9647130416557241, 0.9646898917096371, 0.9646612884041605, 0.9646380634453305, 0.9646165530522197, 0.9645944681252757, 0.9645679560194252, 0.9645329979736105, 0.9645008786401342, 0.9644744999643083, 0.9644399161304055, 0.964414305572943, 0.9643907792162465, 0.9643650411769368, 0.9643257575622859, 0.964296579949277, 0.9642693900034893, 0.9642364486891881, 0.9642079027481727, 0.9641799819524277, 0.9641545818886135, 0.9641293225800056, 0.9640976557396841, 0.9640516554106917, 0.9639976870560136, 0.9639506985036808, 0.9639153158093514, 0.963894521660238, 0.9638582933223936, 0.9638163443470535, 0.9637798113562484, 0.9637416717368598, 0.9636963223990906, 0.9636661335990808, 0.9636280733037097, 0.9636038338532669, 0.9635810354481045, 0.9635513567477236, 0.9635092330400128, 0.9634753031065632, 0.9634420557300223, 0.9634129548863218, 0.9633870539643625, 0.9633574675326136, 0.96332949421517, 0.9633113564855359, 0.9632957263811578, 0.9632718248654748, 0.9632364606674861, 0.9632028848730669, 0.9631784826551137, 0.9631577431483974, 0.9631191635929962, 0.9630905379690646, 0.9630498242922347, 0.963013892478178, 0.9629831587704987, 0.9629579926029329, 0.9629254995799761, 0.9628927509265739, 0.962863630553808, 0.9628259009660671, 0.9627724923709979, 0.9627366349376292, 0.9627113438662156, 0.9626794282180049, 0.9626441488504343, 0.9626111814219359, 0.9625697492061531, 0.9625334009677119, 0.9624974769748607, 0.962454854084422, 0.9624231403857149, 0.9623819199089323, 0.9623583295457467, 0.9623314815998463, 0.9622914790912072, 0.9622509304658782, 0.9622192732959948, 0.9621729104286473, 0.9621426630318113, 0.9621116894467668, 0.9620704029767332, 0.9620485952181121, 0.9620158190079882, 0.961974054492233, 0.9619320330448042, 0.9618909411001197, 0.961847329917127, 0.9617945506404544, 0.9617703891427662, 0.9617246969389891, 0.9616882051208574, 0.961645714716852, 0.9616139004800259, 0.9615804460108504, 0.9615470292717874, 0.9614934970209764, 0.9614514662752485, 0.9614120289144584, 0.9613752002349865, 0.9613442382552797, 0.961306074112187, 0.9612715546577455, 0.9612394507476574, 0.961212371424657, 0.961168550333072, 0.9611196823683361, 0.9610752286942317, 0.9610262442373299, 0.9609925082490304, 0.9609442532858417, 0.9608990558541282, 0.960843300495559, 0.9608155822262785, 0.9607709914316065, 0.9607237517164287, 0.9606768350715436, 0.9606530431321575, 0.9606247240100328, 0.9606000232045996, 0.9605576466076741, 0.9605280199045905, 0.9604842613117514, 0.9604326506466419, 0.9604059951732375, 0.9603621946649752, 0.9603155454365153, 0.9602718774856573, 0.9602177832241676, 0.9601785900670429, 0.9601439688777249, 0.9600956093660513, 0.9600459211339984, 0.9600034462429761, 0.9599714933093788, 0.9599390429389887, 0.9598980785509974, 0.9598570461471039, 0.959825213077997, 0.9597846067816305, 0.9597397705122102, 0.9596956172288036, 0.9596567341611606, 0.9596142634790176, 0.9595556849600284, 0.9595102831858737, 0.9594745628578871, 0.9594279648125745, 0.9593837492677058, 0.9593478958993871, 0.9593131422674741, 0.9592692996243698, 0.9592288991133463, 0.9591938633963453, 0.9591601015494724, 0.9591201081815619, 0.9590941408325007, 0.9590625198817997, 0.9590199859873164, 0.9589686194639996, 0.9589246995326572, 0.9588705781377309, 0.9588285478845968, 0.9587918623370735, 0.9587615076360843, 0.9587149095426235, 0.958669429327299, 0.9586134819407788, 0.9585631744112124, 0.9585222821490347, 0.9584676176724221, 0.9584219445373866, 0.9583691097705702, 0.9583141286409683, 0.9582601467908878, 0.9582180020656521, 0.9581953601482475, 0.9581545707843493, 0.9581016309474959, 0.958048177397919, 0.9580063030973056, 0.95796738397862, 0.9579251530995994, 0.9578798934870327, 0.9578303925099728, 0.9577864089342455, 0.9577295881970485, 0.9576963721942425, 0.957663845420409, 0.957614993894498, 0.957573387215946, 0.9575357662752575, 0.9574829943881442, 0.9574430676634478, 0.9573977635859167, 0.9573547581877788, 0.9573049239884034, 0.9572468687340356, 0.9571981781786112, 0.9571549079531286, 0.9571111156965846, 0.9570857670968362, 0.9570447982126491, 0.9570144217544851, 0.9569824101147422, 0.9569538666992368, 0.9568920905854186, 0.9568504235422641, 0.956802656075679, 0.9567453187282567, 0.956689792537269, 0.9566050393365055, 0.9565530328404721, 0.9565113513906818, 0.9564438679563486, 0.9563980004838889, 0.9563593342525076, 0.9563213430714498, 0.9562742271567279, 0.9562367224435369, 0.9561874346533557, 0.9561222943290163, 0.9560661850144342, 0.9560148173643865, 0.9559639308968793, 0.9559238226955885, 0.9558715827582808, 0.955828428696154, 0.9557845613581273, 0.955736870679051, 0.955701908304701, 0.9556637942837135, 0.9555942233926145, 0.9555301629139329, 0.9554839959612986, 0.9554355626605704, 0.9553870349155518, 0.9553388320388083, 0.9552821314676079, 0.9552295375005939, 0.9551779599000496, 0.9551161256105598, 0.9550633148843977, 0.9550171578924127, 0.95496663032772, 0.9549187537050765, 0.9548739046867236, 0.9548262634326545, 0.9547535342642457, 0.9546782648878211, 0.9546191792135272, 0.9545604420560564, 0.9545138685640178, 0.9544626986126432, 0.9544089421101924, 0.9543514459327428, 0.9543049496225564, 0.954255653648323, 0.9542007320634948, 0.9541421896051359, 0.9540822837117284, 0.95403907604909, 0.9539932435504442, 0.9539530986052674, 0.9539069974845187, 0.9538499997410032, 0.9538009873049462, 0.9537536686951799, 0.9537126269914189, 0.9536699496425218, 0.9536267886822685, 0.9535679786262024, 0.9535261819887908, 0.9534780157337251, 0.9534339077798684, 0.953387912575405, 0.953334602435024, 0.9532621264146077, 0.9532051196413767, 0.9531622546125802, 0.9530889790932137, 0.953033739742051, 0.9529753975994797, 0.9529299707713574, 0.9528742822707096, 0.9528210852419052, 0.9527559403594648, 0.9526987208548381, 0.9526519480372638, 0.9526061213448768, 0.9525635005558922, 0.9524997826023673, 0.952462853264304, 0.9523980306165587, 0.9523521352516955, 0.9523075776946951, 0.9522600678168803, 0.952201225728881, 0.9521377209967448, 0.952087612856437, 0.9520324240092627, 0.951978831342176, 0.9519280819427458, 0.9518790712835772, 0.9518196499426368, 0.951761188486062, 0.9516948784415152, 0.9516567043697199, 0.9516094513401686, 0.951553688170417, 0.9515038354789446, 0.9514454024750452, 0.9513936063126174, 0.9513459695724693, 0.951296296231483, 0.9512383870681627, 0.9511991403980089, 0.9511563017611524, 0.9511046042988724, 0.9510334448423077, 0.9509805250107892, 0.9509316049821732, 0.9508843365513915, 0.950832872485057, 0.9507652404541354, 0.950708207005051, 0.9506408803147929, 0.9505968721667353, 0.9505341079715095, 0.9504989282395775, 0.9504528023838859, 0.9503864355399132, 0.950343909183694, 0.9503005025475106, 0.9502441381937217, 0.9501859610384347, 0.9501398049053338, 0.9500962219607234, 0.950046110628854, 0.9499964817982813, 0.9499447259313447, 0.9498743701280068, 0.9498152485008575, 0.9497669802241677, 0.9497128860996038, 0.9496604921333028, 0.949596773800176, 0.9495428562129606, 0.9494904080249835, 0.9494336674552295, 0.9493802838451502, 0.9493205018941893, 0.9492794053117795, 0.9492433883057079, 0.9491904891082672, 0.9491419650700543, 0.9490912752836895, 0.949044136175388, 0.948998182513519, 0.9489633615775994, 0.9489335149919584, 0.948876332984014, 0.948825669877844, 0.9487728271886602, 0.9487051823837319, 0.9486370075817436, 0.9485871605464071, 0.9485288079682053, 0.9484690596642091, 0.9484142391285566, 0.9483684118299733, 0.9483209807642743, 0.9482682951178647, 0.9482184154322422, 0.9481577640957342, 0.9481163332952458, 0.9480628028335769, 0.9479988707137825, 0.9479505996791695, 0.9478992136227826, 0.9478473794070135, 0.9477848121059252, 0.9477305777145619, 0.9476633591343471, 0.9475790047196245, 0.9475315075903674, 0.9474864621488495, 0.9474231812885672, 0.947352373804456, 0.9472738394070337, 0.9472056700425027, 0.9471436243951392, 0.9470740615959756, 0.9470262757886494, 0.9469854093650993, 0.946938544809121, 0.9468905827728731, 0.9468128160188554, 0.9467338860845449, 0.9466899564051304, 0.9466386096439368, 0.9465879348658912, 0.9465380429506852, 0.9464688428266409, 0.9463964626935939, 0.9463210826551833, 0.9462708237643078, 0.9462263298388405, 0.9461736957650784, 0.9460899876908788, 0.9460188141058827, 0.9459415356333579, 0.9458686196281528, 0.9457907150621228, 0.9457227768332204, 0.9456544742794755, 0.9455955434447523, 0.9455444213268904, 0.9454840269182603, 0.9454214404323263, 0.9453480805547381, 0.9453038714482261, 0.9452250859321563, 0.9451330903418816, 0.945080504051481, 0.9450262575039612, 0.9449530229490486, 0.9448577880572032, 0.9447747406922193, 0.9447068645118297, 0.9446198940213356, 0.9445688150659524, 0.9445121926813684, 0.944405775610043, 0.9443312497164176, 0.9442461419996216, 0.944179727324481, 0.9441147301095993, 0.9440477554100417, 0.9439791953628811, 0.9438973900931134, 0.9438226092793014, 0.9437284356141831, 0.9436417397073835, 0.9435688424093351, 0.9435027974522139, 0.9434315194957335, 0.9433476855820054, 0.9432650675731231, 0.9431993603760438, 0.943139566463679, 0.9430858003812415, 0.9430311148177097, 0.9429741343478478, 0.942904171920402, 0.9428386906892393, 0.9427724340302854, 0.942703065223764, 0.9426397909817475, 0.942575476432786, 0.9424969935675709, 0.9424142006406884, 0.9423282103627737, 0.9422382342935902, 0.9421603629363644, 0.942093959901313, 0.9420381994558005, 0.9419762884808927, 0.941900658201005, 0.9418101088643401, 0.9417231130850383, 0.9416648680513077, 0.9416084382354256, 0.9415464336784161, 0.9414635088865377, 0.9413987858670337, 0.9413417075834993, 0.9412840554784633, 0.9412244140290464, 0.9411618116239062, 0.9411044138206881, 0.9410318948299781, 0.9409667245438642, 0.9408927046472939, 0.9407978278169143, 0.9407045794009945, 0.9406472295401266, 0.9405757924995605, 0.9405003314996911, 0.9404212821495916, 0.9403502872426133, 0.9402934691669678, 0.9402081581559629, 0.9401300756312484, 0.9400741408089185, 0.9399935540593681, 0.9399334790821274, 0.9398721039201616, 0.939782659669699, 0.939718389245269, 0.9396580994081527, 0.9396016950219925, 0.9395309805363913, 0.9394412418101279, 0.9393803394017811, 0.939300061460703, 0.9392384530914414, 0.9391728361991143, 0.9390933263485297, 0.9390099406273392, 0.9389408162909423, 0.9388710269974576, 0.938810847960752, 0.9387180916875207, 0.9386488376247416, 0.9385749417917164, 0.938487408698583, 0.938394175007476, 0.9382861562902661, 0.9382208186348318, 0.9381288423452887, 0.9380673234836776, 0.9380012545279602, 0.9379291528805422, 0.9378647124236137, 0.9378012178639563, 0.9377066078470719, 0.9376256342352818, 0.9375525409556134, 0.9374760819691388, 0.9374025579255135, 0.9373218818554867, 0.937229222164711, 0.9371340398855494, 0.9370580810384754, 0.9369930366922263, 0.936930417613026, 0.9368595569747926, 0.9367717494500258, 0.9366941611634628, 0.9366314975644268, 0.9365684248355876, 0.9365117697983087, 0.9364478179578317, 0.9363638536263231, 0.9362706818558152, 0.9361813450115056, 0.9360953699272677, 0.9360051945426522, 0.9359168070915667, 0.9358441215310724, 0.9357699016872059, 0.9356768935517423, 0.9356092484246121, 0.9355557000041304, 0.9354934643728361, 0.9354085846766405, 0.9353226698837098, 0.9352449741491292, 0.9351739720034085, 0.9350927224470961, 0.935004263978357, 0.9348928381317068, 0.9348073595850317, 0.9347257402695881, 0.9346431579097916, 0.9345608459487291, 0.9344733492362844, 0.9343794372623526, 0.9342550852276401, 0.9341224162825741, 0.9340015564547195, 0.9338898456956026, 0.9338041250156243, 0.9337082204948621, 0.933624053195635, 0.9335143475642942, 0.9333989599159127, 0.9333063016893951, 0.9332343015946027, 0.9331462205751097, 0.9330584626075173, 0.9329724253243887, 0.9328734948784739, 0.9327921611675652, 0.9327169094607994, 0.9326294096261674, 0.9325261515513822, 0.9324281138995194, 0.9323436023606532, 0.9322659556663271, 0.9321894976994745, 0.9320688679035432, 0.9319773841328538, 0.9318811293733377, 0.9317798512162436, 0.9316780987331447, 0.9315801016740997, 0.9315041333276268, 0.9314395237375985, 0.9313479954216848, 0.9312405675900571, 0.931139278719836, 0.9310195140219589, 0.9308907299838495, 0.9307825709493667, 0.9307024959450073, 0.9305972276112797, 0.9305024247056328, 0.9304084403726822, 0.9303323793977123, 0.9302415541756828, 0.9301526835906909, 0.9300692353656304, 0.9299867977095413, 0.9299068346512729, 0.9298063811633994, 0.929670237510883, 0.9295659972701898, 0.9294914449233671, 0.9293832261324285, 0.9292935159349427, 0.9291935459956019, 0.9290784206939804, 0.9289732416990372, 0.9288593633218635, 0.9287347679511234, 0.9286480474561485, 0.928544909719476, 0.9284488315309123, 0.928352791204816, 0.9282524518478468, 0.9281552668416007, 0.9280435317939217, 0.9279267483228099, 0.9278018599981233, 0.9276894149029151, 0.9275970141578007, 0.9274907490344775, 0.9273885213641033, 0.9272849161824535, 0.9271801416866472, 0.9270826576676277, 0.9269683798040098, 0.9268601768474146, 0.926777046009954, 0.9266634270911145, 0.9265663948389686, 0.9264562206126945, 0.9263601221125595, 0.9262603527589734, 0.92616142361586, 0.9260684125971778, 0.9259791070577977, 0.9259033389623845, 0.9258252160079687, 0.9257097844005393, 0.9255927440268039, 0.9254946843957836, 0.9254024522696803, 0.9252949768382454, 0.9251870628870393, 0.925079543195005, 0.9249842788287441, 0.9248974318430451, 0.9248054927083789, 0.9246872922617599, 0.9246004370193577, 0.9245181043246053, 0.9243839637518765, 0.9242583191518183, 0.9241567731233136, 0.9240455092817748, 0.9239249428135744, 0.9238008083288596, 0.9236712953700256, 0.9235915727741795, 0.9234947605047894, 0.9233683638366997, 0.9232444145375267, 0.9231425023823602, 0.9230341223166346, 0.9229278960738339, 0.9228407896109606, 0.9227365217152891, 0.9226183818349161, 0.9224901056584922, 0.9223987000571745, 0.922303566201967, 0.9222042438530192, 0.9220916504388216, 0.9219644311262156, 0.921841056397545, 0.9216843289297311, 0.9215380966690594, 0.9214454552674511, 0.9213373221777477, 0.9212585388896052, 0.9211581643239439, 0.9210396078603047, 0.9208948538396863, 0.9207996315828073, 0.920713374609645, 0.9205973627003043, 0.9204818691810605, 0.9203661591686992, 0.9202457710437157, 0.9201261583031465, 0.9200152279792875, 0.9199018772027368, 0.9197974176113817, 0.9196691828076575, 0.9195512502598302, 0.9194224031130386, 0.9193025346805888, 0.9191781581806576, 0.9190849014153848, 0.91899409392232, 0.918875265120453, 0.9187399861627545, 0.9186310719212135, 0.9184982764643669, 0.9183889948872803, 0.9182938462496197, 0.9181740287298474, 0.9180815623688794, 0.9179794476693273, 0.9178715435554177, 0.9177474251135269, 0.9176217136844499, 0.9175127297031336, 0.917388842397408, 0.9172444506885994, 0.9171259069263203, 0.9170180617586596, 0.9168920529674501, 0.9167681503511693, 0.9166190316569665, 0.9164755088538092, 0.9163713411287702, 0.916257316124026, 0.9161382351536322, 0.9160191641213378, 0.9158804582256673, 0.9157434134119149, 0.9156127697151832, 0.9154542147858282, 0.9153121181643427, 0.9151654975676855, 0.9150322631177895, 0.9149314915526126, 0.9148347386649474, 0.9146869397973368, 0.9145428933228552, 0.9143846387927819, 0.9142542392537238, 0.9141711918292135, 0.9140810795788605, 0.9139731321646694, 0.9138278711371656, 0.9136843950844002, 0.9135701518241452, 0.9134580415411571, 0.9133378828351155, 0.9132025751600985, 0.9130785483811341, 0.9128954877388106, 0.9127769430194932, 0.9126250676751528, 0.9124964239613219, 0.9123327262525284, 0.9121890506951316, 0.9120548589778464, 0.9118997927475108, 0.9117800254687967, 0.9116576443421784, 0.9115405882767961, 0.911393508935864, 0.9112333184792473, 0.911066632551126, 0.9109003741768124, 0.9107615339065946, 0.9106229364850114, 0.910479772059707, 0.9103209944394228, 0.9101518858424457, 0.909997287509809, 0.9098437357107112, 0.9096884825939372, 0.9095638446580789, 0.9094400712185071, 0.9092935205385586, 0.9091552070801427, 0.9090221811945938, 0.9088925035621686, 0.9087822768452409, 0.9086694419373578, 0.9085403218531476, 0.908410377252179, 0.9082582896877336, 0.9080978303483697, 0.9079493751191209, 0.907810148239117, 0.907662838436681, 0.9074988970201402, 0.9073031012694107, 0.907106249534512, 0.9069696591267895, 0.9068108028767221, 0.906634971224791, 0.9065019857937773, 0.9063807613644809, 0.9062479119910325, 0.9061029755821768, 0.9059611009660982, 0.9058207027344771, 0.9056490852198833, 0.9055062595059808, 0.9053483395567379, 0.9052021055864323, 0.9051099551562314, 0.9049577896136471, 0.904817752539902, 0.9046682574781272, 0.9045134379637378, 0.9043697248744049, 0.9042186770597731, 0.9040618559153731, 0.9039335502103416, 0.9037742810929181, 0.9036239412289717, 0.9034546414971595, 0.9033165499713993, 0.9031544030869784, 0.9030189753406883, 0.9028835138640978, 0.9027321039686564, 0.902603814214445, 0.9024447704632234, 0.9023084618499463, 0.902162398487791, 0.9019989761560172, 0.9018356339476381, 0.9016863832646087, 0.901535363604256, 0.9013701291806662, 0.9011967356711454, 0.9010636107958709, 0.9009184316951373, 0.9007682866396839, 0.9006080057721692, 0.9004591206206363, 0.9002892332468924, 0.9001092375865056, 0.8999228213870872, 0.8997093186307845, 0.8995141974197143, 0.8993422598008358, 0.8991414003672362, 0.8989915448081536, 0.898823395194249, 0.8986298361106526, 0.8984545575984504, 0.8983013083416864, 0.8981377342747434, 0.8979797152203818, 0.8977928830241121, 0.8975898932267674, 0.8974144389655337, 0.8972134734332596, 0.8970276672769233, 0.8968342241661489, 0.8966173135153792, 0.8964117380800054, 0.8962455078832381, 0.896053592980003, 0.8958556936747631, 0.895633350470225, 0.8954600969326127, 0.8953039691238678, 0.8950914683087525, 0.8949133345937437, 0.8947230625432634, 0.8945259275111971, 0.8943576559537725, 0.8941618978503356, 0.8939368837224068, 0.8937149676862439, 0.8934947785214549, 0.893305960449345, 0.8931772512228396, 0.892997827134898, 0.8928090090537011, 0.892603951506246, 0.8924413075196768, 0.8922387250606556, 0.8920513762118134, 0.8918890661726802, 0.8917141556053461, 0.8915345261223006, 0.8913328809448031, 0.8910914888105874, 0.8908672968806148, 0.8906875666097823, 0.8905097070903205, 0.8903317411699297, 0.890142835345197, 0.8899403142940048, 0.8897280706558713, 0.8895515937517714, 0.8893537084251766, 0.8891652787983422, 0.8889560255794857, 0.8887623529358907, 0.8885346318764844, 0.8883233673072533, 0.8881005452060138, 0.8879133158565055, 0.8877468279452181, 0.8875644317381836, 0.8873568001806026, 0.88711721932158, 0.8868845849985951, 0.886670655624541, 0.8864184952201676, 0.8861959433053233, 0.8859962160631976, 0.8857803240675799, 0.8855636050349154, 0.8853469869872519, 0.8850889301097387, 0.8848445114815235, 0.8846335106867224, 0.8844155255632997, 0.8841906365056661, 0.8839507016288197, 0.8837363899985333, 0.8835452460492661, 0.8833544831882308, 0.8831511171384681, 0.8829247039939052, 0.8827252275247279, 0.8824916283298183, 0.8822791698981609, 0.8820263718367455, 0.8818384225130864, 0.8816277805721795, 0.8814166224800457, 0.8812455364891847, 0.8810344094420385, 0.8808330819052846, 0.8805690630169916, 0.8802955598499843, 0.8800537100902387, 0.879844434277729, 0.879640214882999, 0.8794178117314997, 0.8792212647800437, 0.8789799564922758, 0.8787033254183252, 0.8784054922191167, 0.8781463733617492, 0.8778788667368823, 0.8776470207430381, 0.8774359113163726, 0.8772059923421853, 0.8770214144008505, 0.8768228541313355, 0.8765718938500928, 0.8763249408789107, 0.8760923605937925, 0.8758706660104729, 0.8755920733067002, 0.8753903922528752, 0.8751325850046243, 0.8749125410564238, 0.8746639892881952, 0.8744142832006403, 0.8741772370981558, 0.8739483521592831, 0.8737107983405434, 0.8734636218732255, 0.8732154076671224, 0.8729179834187555, 0.8725830882362795, 0.8723061219194368, 0.8720479604971156, 0.8718378068479545, 0.8716234969044155, 0.8714084604545618, 0.8711020752381552, 0.870818816435054, 0.8705159423821873, 0.870209341436415, 0.8698979031208914, 0.8695891796131161, 0.8693600506305348, 0.8691730081690221, 0.8689729976259999, 0.8687343537758798, 0.8684695201240447, 0.8681748157096262, 0.8678908659856162, 0.8676325412177728, 0.8673597133659601, 0.8671681899652772, 0.8669462840457685, 0.8666865531305148, 0.8664228770679658, 0.8661266897136648, 0.8658509195780406, 0.8655363353132914, 0.8652649494267637, 0.8650121992505382, 0.864708496970312, 0.8643888304600154, 0.8640921377196846, 0.8637939644075978, 0.8634993640651669, 0.8632188516682727, 0.8629966517354095, 0.86273521810621, 0.8624050053245613, 0.8620987975605083, 0.8617863377521764, 0.8614952125587751, 0.8612006957501741, 0.8609538329716167, 0.860676779520076, 0.8603860150082779, 0.8601097506393844, 0.8597797536104429, 0.8594334814511772, 0.8591227039961374, 0.8587829469735331, 0.8584453885149492, 0.8581863556676874, 0.857880388163272, 0.857597358848739, 0.8573115860881411, 0.857014802616034, 0.8567174466919634, 0.8564020585539189, 0.8560937014276826, 0.8557364415106254, 0.8554290308237601, 0.8551319838970913, 0.854805845715606, 0.8545120543023426, 0.8541905853074225, 0.8538818550144818, 0.8535786190528534, 0.853247695842104, 0.8528908162276465, 0.8526135637263278, 0.8523008709163666, 0.8519870503559938, 0.8517000023326344, 0.8514031523662853, 0.8511234872615809, 0.8507736191978744, 0.850402318556098, 0.8501061266954832, 0.8497849600887557, 0.8494514190935712, 0.8491122623871421, 0.8488541158529799, 0.8485659083507444, 0.8482500142087825, 0.8478605941518264, 0.8474931524447378, 0.8471266375213387, 0.8467877703146449, 0.8463932322064229, 0.8460076775588287, 0.8456674433040916, 0.8453163051142669, 0.844914115749936, 0.8445202774864706, 0.8441358959767677, 0.8437779933650351, 0.8434465352236191, 0.8430239191343157, 0.8426412651633157, 0.8422335242589605, 0.8417904286186395, 0.8414712712931847, 0.8410775259028468, 0.8407158608362586, 0.8403137791827131, 0.8399035425010053, 0.839507395211911, 0.8390855530189076, 0.8386702841461894, 0.8384165699708306, 0.8380654412681474, 0.8376996763270483, 0.8373674577363468, 0.8369728506830905, 0.8366046454395784, 0.836209360762848, 0.8358589627842363, 0.8355050438127691, 0.8351246229269769, 0.8347385885159349, 0.8343267073611385, 0.8339444421683719, 0.8335408840219459, 0.833088927650603, 0.8326377671104557, 0.8322265199417819, 0.8318149256234999, 0.8313218198935783, 0.8308692385597106, 0.8304622265184429, 0.830012747334135, 0.8295105289241238, 0.8290661678651606, 0.8286877954436864, 0.8282524053478089, 0.8277898810518487, 0.8273549144772556, 0.8269669426020694, 0.8265479508610623, 0.8261773340515189, 0.8259007819242086, 0.8254812488775142, 0.8250421119887447, 0.8246638191394914, 0.8242492199055618, 0.8238209339172142, 0.8234272877541908, 0.8230247475944628, 0.8225911069475215, 0.8221837595411576, 0.8217576503146067, 0.8213255432354621, 0.8209178489916011, 0.8204460336146999, 0.8199958614438028, 0.8195318343366298, 0.8190556298493253, 0.8186338171496665, 0.8181986989055017, 0.8177008786901137, 0.8171815411476606, 0.8167457235719481, 0.8162931192861338, 0.8158611848533805, 0.8154087633415104, 0.8149806181662351, 0.8144725538174797, 0.814065168219253, 0.8135594981714191, 0.8130254228030079, 0.8125224533192397, 0.8120147662734845, 0.8115630752844922, 0.8110842233521731, 0.8106203610008984, 0.8101566236304925, 0.8096844127858259, 0.8091963266427065, 0.8087326375047654, 0.8081987779491648, 0.8076989492869853, 0.8073122796902734, 0.8068526780371317, 0.8063270415055965, 0.8058316354656586, 0.8053307974843609, 0.8047621905967222, 0.804362473971301, 0.803915153543544, 0.8034075562462879, 0.8028824089966213, 0.8024259591308635, 0.8019835099668928, 0.8014779862920826, 0.8009663000343117, 0.8004806253335472, 0.8000202725789534, 0.7994622447728286, 0.7989624973250209, 0.7984091113419974, 0.7978286474930468, 0.7973499872352295, 0.7967638115096587, 0.7962536628657838, 0.7956579882739439, 0.7951577820866134, 0.7946365946570801, 0.7940635737171045, 0.79355829908759, 0.793040095880045, 0.7924511528130298, 0.7919043678141675, 0.7913595287022356, 0.7907928795709385, 0.790212550082931, 0.7897041658654576, 0.7891834816008831, 0.7886691797859211, 0.7881595729228783, 0.7875957919313529, 0.787033127247597, 0.786499782493215, 0.785977405096028, 0.7853711954537208, 0.7848295387188517, 0.7842831035150034, 0.7837312622425195, 0.783201293112622, 0.7824931676128312, 0.7818467621658123, 0.7812584917907957, 0.7806432155209077, 0.7799930023368297, 0.7792469861150095, 0.7785437450026877, 0.7778790768768562, 0.7771869480922856, 0.7765084973179748, 0.7759846374633536, 0.775161548985739, 0.7744173058983075, 0.7736629909876978, 0.7728903529061205, 0.7721682222724958, 0.7715065503832246, 0.7708589151023488, 0.7701858768168843, 0.7694550840048949, 0.7687588304731019, 0.7681179060766757, 0.7674581744377647, 0.7669192073726009, 0.766363879649983, 0.7657106235574587, 0.7650891820980532, 0.7643484673726408, 0.7636178701125889, 0.7629191895070875, 0.7623715273066767, 0.7617045225439574, 0.7609799527816777, 0.7603391434744489, 0.7597536087086462, 0.7590735498298553, 0.7584413486075707, 0.7577476823276028, 0.7570685707585555, 0.7563581838476743, 0.7557005790694198, 0.7549252411012726, 0.7541105261044379, 0.753339864711181, 0.7525112720972509, 0.751778899053944, 0.7510328646034996, 0.7503237324108464, 0.7496257506248354, 0.7488911185803484, 0.748145186110551, 0.7474626489859446, 0.7467620074469712, 0.7460935430969369, 0.7454360507982394, 0.74472315515419, 0.7439960969112993, 0.7432947060429942, 0.7425215551009352, 0.7417176947110926, 0.740961068258303, 0.7402155118788942, 0.7394324241496915, 0.7386562151845688, 0.737899049581579, 0.7370842662765147, 0.736357252286993, 0.735663380278992, 0.7349959351028179, 0.7341898749657956, 0.733587132174064, 0.7326324249832157, 0.7318714440271562, 0.7312195042849448, 0.7304999955316861, 0.7296348641001689, 0.7288261659231092, 0.7279931377637662, 0.727255782313132, 0.7265454751497121, 0.7257217586121776, 0.7250013118937523, 0.724073241492911, 0.7233694033137186, 0.7227939111904101, 0.7220985741632062, 0.7213783691424627, 0.7206656526686106, 0.7198258467549463, 0.7190618092180532, 0.7183229123428037, 0.7174647725120218, 0.7166255575823964, 0.7157981181343025, 0.7148591186416948, 0.7139744770186722, 0.7131300178830089, 0.7123992206411706, 0.711581502762844, 0.7109090882158948, 0.7101117687732581, 0.7092444444000975, 0.7083197305080601, 0.7074301744180036, 0.7065779905976859, 0.7056615301511102, 0.7046500317318687, 0.7035731049531622, 0.702537404604529, 0.7015014316775274, 0.7004186689183345, 0.6993259453489107, 0.6982896823148279, 0.6969993893528219, 0.6961009794065939, 0.6951916009263303, 0.6940161456845049, 0.6927668184815658, 0.6910093260176204, 0.6888277615475382, 0.6860948836138214, 0.6840486428139188, 0.6821194413470797, 0.6801604827350387, 0.6781163669556787, 0.6762572958239836, 0.6744716517298798, 0.6725290364109748, 0.6709152865071888, 0.6693296420581589, 0.6674836542420952, 0.6658696590954771, 0.6643737970665973, 0.6627660659277497, 0.6612106073285924, 0.6597774646953933, 0.6585755550498591, 0.6572635309392405, 0.656014578767711, 0.6545894467514015, 0.6531450943845185, 0.6517414085302979, 0.6503973925507762, 0.648927536684357, 0.6474112723594256, 0.6460524860957816, 0.6446900022342092, 0.643213522746034, 0.6419736533576268, 0.640506838263547, 0.6390381502993278, 0.6377897082157485, 0.6366034439317545, 0.635522925138525, 0.6342579441738976, 0.633135865514671, 0.6320491387552296, 0.630826326690315, 0.6296540393281402, 0.6283621339422307, 0.6272434132992399, 0.62620678916176, 0.6250335061509936, 0.6238279119330301, 0.6224086423618815, 0.6215140953857057, 0.6202362971656752, 0.6189194011788997, 0.6176842620597401, 0.6164295541992892, 0.6153768419444692, 0.614351788938269, 0.6131715858293896, 0.6117479891661771, 0.6106747538523176, 0.609592866271673, 0.608560226354246, 0.6075335465379726, 0.6065249681378446, 0.605398314193398, 0.6041639461347456, 0.6030440021245997, 0.6018287405735975, 0.6006589345518893, 0.5993904278505475, 0.5982121421854174, 0.5968303204085699, 0.5952588363534914, 0.5938415766748455, 0.592671096016578, 0.5914187187463389, 0.5900868428413361, 0.5888042438104395, 0.5875820931781823, 0.5864156509687591, 0.5852229733068913, 0.5840620847492352, 0.5827607940317444, 0.5814914354105898, 0.5801516693681441, 0.5789227599567413, 0.577954288988888, 0.5767966264959374, 0.5758133825178053, 0.5746857953474764, 0.5734407064997855, 0.5722756861112771, 0.5709886758366816, 0.5696929769763817, 0.5684366248053021, 0.5673837474787455, 0.5660968879100903, 0.5647778150434546, 0.5634653327655486, 0.5622042793403645, 0.5608115936267991, 0.5596962540571602, 0.558629313950634, 0.557468041652031, 0.5561364249174585, 0.5549558957661563, 0.5538464696256234, 0.5525601166486209, 0.5512726195798558, 0.5499278670793736, 0.5487125406305462, 0.5475321400085937, 0.5462974461761703, 0.5449182229374943, 0.543596973177269, 0.542506735474962, 0.5413480716222219, 0.5399716125206195, 0.5387123893545218, 0.5373854411919367, 0.5361553064933923, 0.5351334522041498, 0.5339510928132423, 0.5324435634454747, 0.5310970430925127, 0.5296860606267642, 0.528578102104263, 0.5273447311184142, 0.5262476392250595, 0.5251273086051076, 0.5241836850462218, 0.5230168724832089, 0.5218092571533333, 0.520602067689428, 0.5193146031367658, 0.51822946306742, 0.5169729720423657, 0.5158481901133873, 0.5147124618959332, 0.5135324088083247, 0.5123716324679287, 0.5112136081761021, 0.5101879682657573, 0.5088479175294236, 0.5072344003756157, 0.5057969356409444, 0.5046320297858575, 0.5034176046398193, 0.5019196938838061, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}, {\\\"fill\\\": \\\"tonexty\\\", \\\"fillcolor\\\": \\\"rgba(0, 125, 125, 0.2)\\\", \\\"hoverinfo\\\": \\\"skip\\\", \\\"line\\\": {\\\"color\\\": \\\"rgba(0, 125, 125, 1)\\\", \\\"width\\\": 0.0}, \\\"name\\\": \\\"Ensemble\\\", \\\"showlegend\\\": false, \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.5, 0.5001, 0.5002, 0.5003, 0.5004, 0.5005, 0.5006, 0.5007, 0.5008, 0.5009, 0.501, 0.5011, 0.5012, 0.5013, 0.5014, 0.5015, 0.5016, 0.5017, 0.5018, 0.5019, 0.502, 0.5021, 0.5022, 0.5023, 0.5024, 0.5025, 0.5026, 0.5027, 0.5028, 0.5029, 0.503, 0.5031, 0.5032, 0.5033, 0.5034, 0.5035, 0.5036, 0.5037, 0.5038, 0.5039, 0.504, 0.5041, 0.5042, 0.5043, 0.5044, 0.5045, 0.5046, 0.5047, 0.5048, 0.5049, 0.505, 0.5051, 0.5052, 0.5053, 0.5054, 0.5055, 0.5056, 0.5057, 0.5058, 0.5059, 0.506, 0.5061, 0.5062, 0.5063, 0.5064, 0.5065, 0.5066, 0.5067, 0.5068, 0.5069, 0.507, 0.5071, 0.5072, 0.5073, 0.5074, 0.5075, 0.5076, 0.5077, 0.5078, 0.5079, 0.508, 0.5081, 0.5082, 0.5083, 0.5084, 0.5085, 0.5086, 0.5087, 0.5088, 0.5089, 0.509, 0.5091, 0.5092, 0.5093, 0.5094, 0.5095, 0.5096, 0.5097, 0.5098, 0.5099, 0.51, 0.5101, 0.5102, 0.5103, 0.5104, 0.5105, 0.5106, 0.5107, 0.5108, 0.5109, 0.511, 0.5111, 0.5112, 0.5113, 0.5114, 0.5115, 0.5116, 0.5117, 0.5118, 0.5119, 0.512, 0.5121, 0.5122, 0.5123, 0.5124, 0.5125, 0.5126, 0.5127, 0.5128, 0.5129, 0.513, 0.5131, 0.5132, 0.5133, 0.5134, 0.5135, 0.5136000000000001, 0.5137, 0.5138, 0.5139, 0.514, 0.5141, 0.5142, 0.5143, 0.5144, 0.5145, 0.5146, 0.5147, 0.5148, 0.5149, 0.515, 0.5151, 0.5152, 0.5153, 0.5154, 0.5155, 0.5156, 0.5157, 0.5158, 0.5159, 0.516, 0.5161, 0.5162, 0.5163, 0.5164, 0.5165, 0.5166, 0.5167, 0.5168, 0.5169, 0.517, 0.5171, 0.5172, 0.5173, 0.5174, 0.5175, 0.5176, 0.5177, 0.5178, 0.5179, 0.518, 0.5181, 0.5182, 0.5183, 0.5184, 0.5185, 0.5186, 0.5187, 0.5188, 0.5189, 0.519, 0.5191, 0.5192, 0.5193, 0.5194, 0.5195, 0.5196, 0.5197, 0.5198, 0.5199, 0.52, 0.5201, 0.5202, 0.5203, 0.5204, 0.5205, 0.5206, 0.5207, 0.5208, 0.5209, 0.521, 0.5211, 0.5212, 0.5213, 0.5214, 0.5215, 0.5216, 0.5217, 0.5218, 0.5219, 0.522, 0.5221, 0.5222, 0.5223, 0.5224, 0.5225, 0.5226, 0.5227, 0.5228, 0.5229, 0.523, 0.5231, 0.5232, 0.5233, 0.5234, 0.5235, 0.5236, 0.5237, 0.5238, 0.5239, 0.524, 0.5241, 0.5242, 0.5243, 0.5244, 0.5245, 0.5246, 0.5246999999999999, 0.5248, 0.5249, 0.525, 0.5251, 0.5252, 0.5253, 0.5254, 0.5255, 0.5256, 0.5257000000000001, 0.5258, 0.5259, 0.526, 0.5261, 0.5262, 0.5263, 0.5264, 0.5265, 0.5266, 0.5267, 0.5268, 0.5269, 0.527, 0.5271, 0.5272, 0.5273, 0.5274, 0.5275, 0.5276, 0.5277000000000001, 0.5278, 0.5279, 0.528, 0.5281, 0.5282, 0.5283, 0.5284, 0.5285, 0.5286, 0.5287, 0.5288, 0.5289, 0.529, 0.5291, 0.5292, 0.5293, 0.5294, 0.5295, 0.5296, 0.5297, 0.5298, 0.5299, 0.53, 0.5301, 0.5302, 0.5303, 0.5304, 0.5305, 0.5306, 0.5307, 0.5308, 0.5309, 0.531, 0.5311, 0.5312, 0.5313, 0.5314, 0.5315, 0.5316, 0.5317, 0.5318, 0.5319, 0.532, 0.5321, 0.5322, 0.5323, 0.5324, 0.5325, 0.5326, 0.5327, 0.5328, 0.5329, 0.533, 0.5331, 0.5332, 0.5333, 0.5334, 0.5335, 0.5336, 0.5337, 0.5338, 0.5339, 0.534, 0.5341, 0.5342, 0.5343, 0.5344, 0.5345, 0.5346, 0.5347, 0.5348, 0.5349, 0.535, 0.5351, 0.5352, 0.5353, 0.5354, 0.5355, 0.5356, 0.5357, 0.5358, 0.5359, 0.536, 0.5361, 0.5362, 0.5363, 0.5364, 0.5365, 0.5366, 0.5367, 0.5367999999999999, 0.5369, 0.537, 0.5371, 0.5372, 0.5373, 0.5374, 0.5375, 0.5376, 0.5377, 0.5378000000000001, 0.5379, 0.538, 0.5381, 0.5382, 0.5383, 0.5384, 0.5385, 0.5386, 0.5387, 0.5388, 0.5389, 0.539, 0.5391, 0.5392, 0.5393, 0.5394, 0.5395, 0.5396, 0.5397, 0.5398000000000001, 0.5399, 0.54, 0.5401, 0.5402, 0.5403, 0.5404, 0.5405, 0.5406, 0.5407, 0.5408, 0.5409, 0.541, 0.5411, 0.5412, 0.5413, 0.5414, 0.5415, 0.5416, 0.5417, 0.5418000000000001, 0.5419, 0.542, 0.5421, 0.5422, 0.5423, 0.5424, 0.5425, 0.5426, 0.5427, 0.5428, 0.5429, 0.543, 0.5431, 0.5432, 0.5433, 0.5434, 0.5435, 0.5436, 0.5437, 0.5438, 0.5439, 0.544, 0.5441, 0.5442, 0.5443, 0.5444, 0.5445, 0.5446, 0.5447, 0.5448, 0.5449, 0.545, 0.5451, 0.5452, 0.5453, 0.5454, 0.5455, 0.5456, 0.5457, 0.5458, 0.5459, 0.546, 0.5461, 0.5462, 0.5463, 0.5464, 0.5465, 0.5466, 0.5467, 0.5468, 0.5469, 0.547, 0.5471, 0.5472, 0.5473, 0.5474, 0.5475, 0.5476, 0.5477, 0.5478, 0.5479, 0.548, 0.5481, 0.5482, 0.5483, 0.5484, 0.5485, 0.5486, 0.5487, 0.5488, 0.5488999999999999, 0.549, 0.5491, 0.5492, 0.5493, 0.5494, 0.5495, 0.5496, 0.5497, 0.5498, 0.5499, 0.55, 0.5501, 0.5502, 0.5503, 0.5504, 0.5505, 0.5506, 0.5507, 0.5508, 0.5509, 0.551, 0.5511, 0.5512, 0.5513, 0.5514, 0.5515, 0.5516, 0.5517, 0.5518, 0.5519000000000001, 0.552, 0.5521, 0.5522, 0.5523, 0.5524, 0.5525, 0.5526, 0.5527, 0.5528, 0.5529, 0.553, 0.5531, 0.5532, 0.5533, 0.5534, 0.5535, 0.5536, 0.5537, 0.5538, 0.5539000000000001, 0.554, 0.5541, 0.5542, 0.5543, 0.5544, 0.5545, 0.5546, 0.5547, 0.5548, 0.5549, 0.555, 0.5551, 0.5552, 0.5553, 0.5554, 0.5555, 0.5556, 0.5557, 0.5558, 0.5559000000000001, 0.556, 0.5561, 0.5562, 0.5563, 0.5564, 0.5565, 0.5566, 0.5567, 0.5568, 0.5569, 0.557, 0.5571, 0.5572, 0.5573, 0.5574, 0.5575, 0.5576, 0.5577, 0.5578, 0.5579, 0.558, 0.5581, 0.5582, 0.5583, 0.5584, 0.5585, 0.5586, 0.5587, 0.5588, 0.5589, 0.559, 0.5591, 0.5592, 0.5593, 0.5594, 0.5595, 0.5596, 0.5597, 0.5598, 0.5599, 0.56, 0.5601, 0.5602, 0.5603, 0.5604, 0.5605, 0.5606, 0.5607, 0.5608, 0.5609, 0.561, 0.5611, 0.5612, 0.5613, 0.5614, 0.5615, 0.5616, 0.5617, 0.5618, 0.5619, 0.562, 0.5621, 0.5622, 0.5623, 0.5624, 0.5625, 0.5626, 0.5627, 0.5628, 0.5629, 0.563, 0.5631, 0.5632, 0.5633, 0.5634, 0.5635, 0.5636, 0.5637, 0.5638, 0.5639, 0.5640000000000001, 0.5641, 0.5642, 0.5643, 0.5644, 0.5645, 0.5646, 0.5647, 0.5648, 0.5649, 0.565, 0.5651, 0.5652, 0.5653, 0.5654, 0.5655, 0.5656, 0.5657, 0.5658, 0.5659, 0.5660000000000001, 0.5661, 0.5662, 0.5663, 0.5664, 0.5665, 0.5666, 0.5667, 0.5668, 0.5669, 0.567, 0.5671, 0.5672, 0.5673, 0.5674, 0.5675, 0.5676, 0.5677, 0.5678, 0.5679, 0.5680000000000001, 0.5681, 0.5682, 0.5683, 0.5684, 0.5685, 0.5686, 0.5687, 0.5688, 0.5689, 0.569, 0.5691, 0.5692, 0.5693, 0.5694, 0.5695, 0.5696, 0.5697, 0.5698, 0.5699, 0.5700000000000001, 0.5701, 0.5702, 0.5703, 0.5704, 0.5705, 0.5706, 0.5707, 0.5708, 0.5709, 0.571, 0.5710999999999999, 0.5712, 0.5713, 0.5714, 0.5715, 0.5716, 0.5717, 0.5718, 0.5719, 0.5720000000000001, 0.5721, 0.5722, 0.5723, 0.5724, 0.5725, 0.5726, 0.5727, 0.5728, 0.5729, 0.573, 0.5730999999999999, 0.5732, 0.5733, 0.5734, 0.5735, 0.5736, 0.5737, 0.5738, 0.5739, 0.5740000000000001, 0.5741, 0.5742, 0.5743, 0.5744, 0.5745, 0.5746, 0.5747, 0.5748, 0.5749, 0.575, 0.5751, 0.5752, 0.5753, 0.5754, 0.5755, 0.5756, 0.5757, 0.5758, 0.5759, 0.576, 0.5761000000000001, 0.5762, 0.5763, 0.5764, 0.5765, 0.5766, 0.5767, 0.5768, 0.5769, 0.577, 0.5771, 0.5772, 0.5773, 0.5774, 0.5775, 0.5776, 0.5777, 0.5778, 0.5779, 0.578, 0.5781000000000001, 0.5782, 0.5783, 0.5784, 0.5785, 0.5786, 0.5787, 0.5788, 0.5789, 0.579, 0.5791, 0.5792, 0.5793, 0.5794, 0.5795, 0.5796, 0.5797, 0.5798, 0.5799, 0.58, 0.5801000000000001, 0.5802, 0.5803, 0.5804, 0.5805, 0.5806, 0.5807, 0.5808, 0.5809, 0.581, 0.5811, 0.5812, 0.5813, 0.5814, 0.5815, 0.5816, 0.5817, 0.5818, 0.5819, 0.582, 0.5821000000000001, 0.5822, 0.5823, 0.5824, 0.5825, 0.5826, 0.5827, 0.5828, 0.5829, 0.583, 0.5831, 0.5832, 0.5833, 0.5834, 0.5835, 0.5836, 0.5837, 0.5838, 0.5839, 0.584, 0.5841000000000001, 0.5842, 0.5843, 0.5844, 0.5845, 0.5846, 0.5847, 0.5848, 0.5849, 0.585, 0.5851, 0.5851999999999999, 0.5853, 0.5854, 0.5855, 0.5856, 0.5857, 0.5858, 0.5859, 0.586, 0.5861000000000001, 0.5862, 0.5863, 0.5864, 0.5865, 0.5866, 0.5867, 0.5868, 0.5869, 0.587, 0.5871, 0.5871999999999999, 0.5873, 0.5874, 0.5875, 0.5876, 0.5877, 0.5878, 0.5879, 0.588, 0.5881, 0.5882000000000001, 0.5883, 0.5884, 0.5885, 0.5886, 0.5887, 0.5888, 0.5889, 0.589, 0.5891, 0.5892, 0.5893, 0.5894, 0.5895, 0.5896, 0.5897, 0.5898, 0.5899, 0.59, 0.5901, 0.5902000000000001, 0.5903, 0.5904, 0.5905, 0.5906, 0.5907, 0.5908, 0.5909, 0.591, 0.5911, 0.5912, 0.5913, 0.5914, 0.5915, 0.5916, 0.5917, 0.5918, 0.5919, 0.592, 0.5921, 0.5922000000000001, 0.5923, 0.5924, 0.5925, 0.5926, 0.5927, 0.5928, 0.5929, 0.593, 0.5931, 0.5932, 0.5933, 0.5934, 0.5935, 0.5936, 0.5937, 0.5938, 0.5939, 0.594, 0.5941, 0.5942000000000001, 0.5943, 0.5944, 0.5945, 0.5946, 0.5947, 0.5948, 0.5949, 0.595, 0.5951, 0.5952, 0.5953, 0.5954, 0.5955, 0.5956, 0.5957, 0.5958, 0.5959, 0.596, 0.5961, 0.5962000000000001, 0.5963, 0.5964, 0.5965, 0.5966, 0.5967, 0.5968, 0.5969, 0.597, 0.5971, 0.5972, 0.5973, 0.5974, 0.5975, 0.5976, 0.5977, 0.5978, 0.5979, 0.598, 0.5981, 0.5982000000000001, 0.5983, 0.5984, 0.5985, 0.5986, 0.5987, 0.5988, 0.5989, 0.599, 0.5991, 0.5992, 0.5992999999999999, 0.5994, 0.5995, 0.5996, 0.5997, 0.5998, 0.5999, 0.6, 0.6001, 0.6002000000000001, 0.6003000000000001, 0.6004, 0.6005, 0.6006, 0.6007, 0.6008, 0.6009, 0.601, 0.6011, 0.6012, 0.6013, 0.6014, 0.6015, 0.6016, 0.6017, 0.6018, 0.6019, 0.602, 0.6021, 0.6022, 0.6023000000000001, 0.6024, 0.6025, 0.6026, 0.6027, 0.6028, 0.6029, 0.603, 0.6031, 0.6032, 0.6033, 0.6034, 0.6035, 0.6036, 0.6037, 0.6038, 0.6039, 0.604, 0.6041, 0.6042, 0.6043000000000001, 0.6044, 0.6045, 0.6046, 0.6047, 0.6048, 0.6049, 0.605, 0.6051, 0.6052, 0.6053, 0.6054, 0.6055, 0.6056, 0.6057, 0.6058, 0.6059, 0.606, 0.6061, 0.6062, 0.6063000000000001, 0.6064, 0.6065, 0.6066, 0.6067, 0.6068, 0.6069, 0.607, 0.6071, 0.6072, 0.6073, 0.6074, 0.6075, 0.6076, 0.6077, 0.6078, 0.6079, 0.608, 0.6081, 0.6082, 0.6083000000000001, 0.6084, 0.6085, 0.6086, 0.6087, 0.6088, 0.6089, 0.609, 0.6091, 0.6092, 0.6093, 0.6094, 0.6095, 0.6096, 0.6097, 0.6098, 0.6099, 0.61, 0.6101, 0.6102, 0.6103000000000001, 0.6104, 0.6105, 0.6106, 0.6107, 0.6108, 0.6109, 0.611, 0.6111, 0.6112, 0.6113, 0.6113999999999999, 0.6115, 0.6116, 0.6117, 0.6118, 0.6119, 0.612, 0.6121, 0.6122, 0.6123000000000001, 0.6124, 0.6125, 0.6126, 0.6127, 0.6128, 0.6129, 0.613, 0.6131, 0.6132, 0.6133, 0.6134, 0.6135, 0.6136, 0.6137, 0.6138, 0.6139, 0.614, 0.6141, 0.6142, 0.6143, 0.6144000000000001, 0.6145, 0.6146, 0.6147, 0.6148, 0.6149, 0.615, 0.6151, 0.6152, 0.6153, 0.6154, 0.6155, 0.6156, 0.6157, 0.6158, 0.6159, 0.616, 0.6161, 0.6162, 0.6163, 0.6164000000000001, 0.6165, 0.6166, 0.6167, 0.6168, 0.6169, 0.617, 0.6171, 0.6172, 0.6173, 0.6174, 0.6175, 0.6176, 0.6177, 0.6178, 0.6179, 0.618, 0.6181, 0.6182, 0.6183, 0.6184000000000001, 0.6185, 0.6186, 0.6187, 0.6188, 0.6189, 0.619, 0.6191, 0.6192, 0.6193, 0.6194, 0.6195, 0.6196, 0.6197, 0.6198, 0.6199, 0.62, 0.6201, 0.6202, 0.6203, 0.6204000000000001, 0.6205, 0.6206, 0.6207, 0.6208, 0.6209, 0.621, 0.6211, 0.6212, 0.6213, 0.6214, 0.6215, 0.6216, 0.6217, 0.6218, 0.6219, 0.622, 0.6221, 0.6222, 0.6223, 0.6224000000000001, 0.6225, 0.6226, 0.6227, 0.6228, 0.6229, 0.623, 0.6231, 0.6232, 0.6233, 0.6234, 0.6235, 0.6236, 0.6237, 0.6238, 0.6239, 0.624, 0.6241, 0.6242, 0.6243, 0.6244000000000001, 0.6245, 0.6246, 0.6247, 0.6248, 0.6249, 0.625, 0.6251, 0.6252, 0.6253, 0.6254, 0.6255, 0.6256, 0.6257, 0.6258, 0.6259, 0.626, 0.6261, 0.6262, 0.6263, 0.6264000000000001, 0.6265000000000001, 0.6266, 0.6267, 0.6268, 0.6269, 0.627, 0.6271, 0.6272, 0.6273, 0.6274, 0.6275, 0.6276, 0.6277, 0.6278, 0.6279, 0.628, 0.6281, 0.6282, 0.6283, 0.6284000000000001, 0.6285000000000001, 0.6286, 0.6287, 0.6288, 0.6289, 0.629, 0.6291, 0.6292, 0.6293, 0.6294, 0.6295, 0.6295999999999999, 0.6297, 0.6298, 0.6299, 0.63, 0.6301, 0.6302, 0.6303, 0.6304000000000001, 0.6305000000000001, 0.6306, 0.6307, 0.6308, 0.6309, 0.631, 0.6311, 0.6312, 0.6313, 0.6314, 0.6315, 0.6315999999999999, 0.6317, 0.6318, 0.6319, 0.632, 0.6321, 0.6322, 0.6323, 0.6324000000000001, 0.6325000000000001, 0.6326, 0.6327, 0.6328, 0.6329, 0.633, 0.6331, 0.6332, 0.6333, 0.6334, 0.6335, 0.6335999999999999, 0.6337, 0.6338, 0.6339, 0.634, 0.6341, 0.6342, 0.6343, 0.6344000000000001, 0.6345000000000001, 0.6346, 0.6347, 0.6348, 0.6349, 0.635, 0.6351, 0.6352, 0.6353, 0.6354, 0.6355, 0.6355999999999999, 0.6357, 0.6358, 0.6359, 0.636, 0.6361, 0.6362, 0.6363, 0.6364, 0.6365000000000001, 0.6366, 0.6367, 0.6368, 0.6369, 0.637, 0.6371, 0.6372, 0.6373, 0.6374, 0.6375, 0.6376, 0.6377, 0.6378, 0.6379, 0.638, 0.6381, 0.6382, 0.6383, 0.6384, 0.6385000000000001, 0.6386000000000001, 0.6387, 0.6388, 0.6389, 0.639, 0.6391, 0.6392, 0.6393, 0.6394, 0.6395, 0.6396, 0.6397, 0.6398, 0.6399, 0.64, 0.6401, 0.6402, 0.6403, 0.6404, 0.6405000000000001, 0.6406000000000001, 0.6407, 0.6408, 0.6409, 0.641, 0.6411, 0.6412, 0.6413, 0.6414, 0.6415, 0.6416, 0.6417, 0.6418, 0.6419, 0.642, 0.6421, 0.6422, 0.6423, 0.6424, 0.6425000000000001, 0.6426000000000001, 0.6427, 0.6428, 0.6429, 0.643, 0.6431, 0.6432, 0.6433, 0.6434, 0.6435, 0.6436, 0.6436999999999999, 0.6438, 0.6439, 0.644, 0.6441, 0.6442, 0.6443, 0.6444, 0.6445000000000001, 0.6446000000000001, 0.6447, 0.6448, 0.6449, 0.645, 0.6451, 0.6452, 0.6453, 0.6454, 0.6455, 0.6456, 0.6456999999999999, 0.6458, 0.6459, 0.646, 0.6461, 0.6462, 0.6463, 0.6464, 0.6465000000000001, 0.6466000000000001, 0.6467, 0.6468, 0.6469, 0.647, 0.6471, 0.6472, 0.6473, 0.6474, 0.6475, 0.6476, 0.6476999999999999, 0.6478, 0.6479, 0.648, 0.6481, 0.6482, 0.6483, 0.6484, 0.6485000000000001, 0.6486000000000001, 0.6487, 0.6488, 0.6489, 0.649, 0.6491, 0.6492, 0.6493, 0.6494, 0.6495, 0.6496, 0.6496999999999999, 0.6498, 0.6499, 0.65, 0.6501, 0.6502, 0.6503, 0.6504, 0.6505, 0.6506000000000001, 0.6507000000000001, 0.6508, 0.6509, 0.651, 0.6511, 0.6512, 0.6513, 0.6514, 0.6515, 0.6516, 0.6517, 0.6518, 0.6519, 0.652, 0.6521, 0.6522, 0.6523, 0.6524, 0.6525, 0.6526000000000001, 0.6527000000000001, 0.6528, 0.6529, 0.653, 0.6531, 0.6532, 0.6533, 0.6534, 0.6535, 0.6536, 0.6537, 0.6538, 0.6539, 0.654, 0.6541, 0.6542, 0.6543, 0.6544, 0.6545, 0.6546000000000001, 0.6547000000000001, 0.6548, 0.6549, 0.655, 0.6551, 0.6552, 0.6553, 0.6554, 0.6555, 0.6556, 0.6557, 0.6557999999999999, 0.6559, 0.656, 0.6561, 0.6562, 0.6563, 0.6564, 0.6565, 0.6566000000000001, 0.6567000000000001, 0.6568, 0.6569, 0.657, 0.6571, 0.6572, 0.6573, 0.6574, 0.6575, 0.6576, 0.6577, 0.6577999999999999, 0.6579, 0.658, 0.6581, 0.6582, 0.6583, 0.6584, 0.6585, 0.6586000000000001, 0.6587000000000001, 0.6588, 0.6589, 0.659, 0.6591, 0.6592, 0.6593, 0.6594, 0.6595, 0.6596, 0.6597, 0.6597999999999999, 0.6599, 0.66, 0.6601, 0.6602, 0.6603, 0.6604, 0.6605, 0.6606000000000001, 0.6607000000000001, 0.6608, 0.6609, 0.661, 0.6611, 0.6612, 0.6613, 0.6614, 0.6615, 0.6616, 0.6617, 0.6617999999999999, 0.6619, 0.662, 0.6621, 0.6622, 0.6623, 0.6624, 0.6625, 0.6626, 0.6627000000000001, 0.6628000000000001, 0.6629, 0.663, 0.6631, 0.6632, 0.6633, 0.6634, 0.6635, 0.6636, 0.6637, 0.6638, 0.6639, 0.664, 0.6641, 0.6642, 0.6643, 0.6644, 0.6645, 0.6646, 0.6647000000000001, 0.6648000000000001, 0.6649, 0.665, 0.6651, 0.6652, 0.6653, 0.6654, 0.6655, 0.6656, 0.6657, 0.6658, 0.6659, 0.666, 0.6661, 0.6662, 0.6663, 0.6664, 0.6665, 0.6666, 0.6667000000000001, 0.6668000000000001, 0.6669, 0.667, 0.6671, 0.6672, 0.6673, 0.6674, 0.6675, 0.6676, 0.6677, 0.6678, 0.6679, 0.668, 0.6681, 0.6682, 0.6683, 0.6684, 0.6685, 0.6686, 0.6687000000000001, 0.6688000000000001, 0.6689, 0.669, 0.6691, 0.6692, 0.6693, 0.6694, 0.6695, 0.6696, 0.6697, 0.6698, 0.6698999999999999, 0.67, 0.6701, 0.6702, 0.6703, 0.6704, 0.6705, 0.6706, 0.6707000000000001, 0.6708000000000001, 0.6709, 0.671, 0.6711, 0.6712, 0.6713, 0.6714, 0.6715, 0.6716, 0.6717, 0.6718, 0.6718999999999999, 0.672, 0.6721, 0.6722, 0.6723, 0.6724, 0.6725, 0.6726, 0.6727000000000001, 0.6728000000000001, 0.6729, 0.673, 0.6731, 0.6732, 0.6733, 0.6734, 0.6735, 0.6736, 0.6737, 0.6738, 0.6738999999999999, 0.674, 0.6741, 0.6742, 0.6743, 0.6744, 0.6745, 0.6746, 0.6747000000000001, 0.6748000000000001, 0.6749, 0.675, 0.6751, 0.6752, 0.6753, 0.6754, 0.6755, 0.6756, 0.6757, 0.6758, 0.6759, 0.676, 0.6761, 0.6762, 0.6763, 0.6764, 0.6765, 0.6766, 0.6767, 0.6768000000000001, 0.6769000000000001, 0.677, 0.6771, 0.6772, 0.6773, 0.6774, 0.6775, 0.6776, 0.6777, 0.6778, 0.6779, 0.678, 0.6781, 0.6782, 0.6783, 0.6784, 0.6785, 0.6786, 0.6787, 0.6788000000000001, 0.6789000000000001, 0.679, 0.6791, 0.6792, 0.6793, 0.6794, 0.6795, 0.6796, 0.6797, 0.6798, 0.6799, 0.68, 0.6801, 0.6802, 0.6803, 0.6804, 0.6805, 0.6806, 0.6807, 0.6808000000000001, 0.6809000000000001, 0.681, 0.6811, 0.6812, 0.6813, 0.6814, 0.6815, 0.6816, 0.6817, 0.6818, 0.6819, 0.6819999999999999, 0.6821, 0.6822, 0.6823, 0.6824, 0.6825, 0.6826, 0.6827, 0.6828000000000001, 0.6829000000000001, 0.683, 0.6831, 0.6832, 0.6833, 0.6834, 0.6835, 0.6836, 0.6837, 0.6838, 0.6839, 0.6839999999999999, 0.6841, 0.6842, 0.6843, 0.6844, 0.6845, 0.6846, 0.6847, 0.6848000000000001, 0.6849000000000001, 0.685, 0.6851, 0.6852, 0.6853, 0.6854, 0.6855, 0.6856, 0.6857, 0.6858, 0.6859, 0.6859999999999999, 0.6861, 0.6862, 0.6863, 0.6864, 0.6865, 0.6866, 0.6867, 0.6868000000000001, 0.6869000000000001, 0.687, 0.6871, 0.6872, 0.6873, 0.6874, 0.6875, 0.6876, 0.6877, 0.6878, 0.6879, 0.688, 0.6881, 0.6882, 0.6883, 0.6884, 0.6885, 0.6886, 0.6887, 0.6888, 0.6889000000000001, 0.6890000000000001, 0.6891, 0.6892, 0.6893, 0.6894, 0.6895, 0.6896, 0.6897, 0.6898, 0.6899, 0.69, 0.6901, 0.6902, 0.6903, 0.6904, 0.6905, 0.6906, 0.6907, 0.6908, 0.6909000000000001, 0.6910000000000001, 0.6911, 0.6912, 0.6913, 0.6914, 0.6915, 0.6916, 0.6917, 0.6918, 0.6919, 0.692, 0.6921, 0.6922, 0.6923, 0.6924, 0.6925, 0.6926, 0.6927, 0.6928, 0.6929000000000001, 0.6930000000000001, 0.6931, 0.6932, 0.6933, 0.6934, 0.6935, 0.6936, 0.6937, 0.6938, 0.6939, 0.694, 0.6941, 0.6942, 0.6943, 0.6944, 0.6945, 0.6946, 0.6947, 0.6948, 0.6949000000000001, 0.6950000000000001, 0.6951, 0.6952, 0.6953, 0.6954, 0.6955, 0.6956, 0.6957, 0.6958, 0.6959, 0.696, 0.6960999999999999, 0.6962, 0.6963, 0.6964, 0.6965, 0.6966, 0.6967, 0.6968, 0.6969000000000001, 0.6970000000000001, 0.6971, 0.6972, 0.6973, 0.6974, 0.6975, 0.6976, 0.6977, 0.6978, 0.6979, 0.698, 0.6980999999999999, 0.6982, 0.6983, 0.6984, 0.6985, 0.6986, 0.6987, 0.6988, 0.6989000000000001, 0.6990000000000001, 0.6991, 0.6992, 0.6993, 0.6994, 0.6995, 0.6996, 0.6997, 0.6998, 0.6999, 0.7, 0.7001, 0.7002, 0.7003, 0.7004, 0.7005, 0.7006, 0.7007, 0.7008, 0.7009000000000001, 0.7010000000000001, 0.7011000000000001, 0.7012, 0.7013, 0.7014, 0.7015, 0.7016, 0.7017, 0.7018, 0.7019, 0.702, 0.7021, 0.7022, 0.7023, 0.7024, 0.7025, 0.7026, 0.7027, 0.7028, 0.7029, 0.7030000000000001, 0.7031000000000001, 0.7032, 0.7033, 0.7034, 0.7035, 0.7036, 0.7037, 0.7038, 0.7039, 0.704, 0.7041, 0.7042, 0.7043, 0.7044, 0.7045, 0.7046, 0.7047, 0.7048, 0.7049, 0.7050000000000001, 0.7051000000000001, 0.7052, 0.7053, 0.7054, 0.7055, 0.7056, 0.7057, 0.7058, 0.7059, 0.706, 0.7061, 0.7062, 0.7063, 0.7064, 0.7065, 0.7066, 0.7067, 0.7068, 0.7069, 0.7070000000000001, 0.7071000000000001, 0.7072, 0.7073, 0.7074, 0.7075, 0.7076, 0.7077, 0.7078, 0.7079, 0.708, 0.7081, 0.7081999999999999, 0.7083, 0.7084, 0.7085, 0.7086, 0.7087, 0.7088, 0.7089, 0.7090000000000001, 0.7091000000000001, 0.7092, 0.7093, 0.7094, 0.7095, 0.7096, 0.7097, 0.7098, 0.7099, 0.71, 0.7101, 0.7101999999999999, 0.7103, 0.7104, 0.7105, 0.7106, 0.7107, 0.7108, 0.7109, 0.7110000000000001, 0.7111000000000001, 0.7112, 0.7113, 0.7114, 0.7115, 0.7116, 0.7117, 0.7118, 0.7119, 0.712, 0.7121, 0.7121999999999999, 0.7123, 0.7124, 0.7125, 0.7126, 0.7127, 0.7128, 0.7129, 0.7130000000000001, 0.7131000000000001, 0.7132000000000001, 0.7133, 0.7134, 0.7135, 0.7136, 0.7137, 0.7138, 0.7139, 0.714, 0.7141, 0.7142, 0.7143, 0.7144, 0.7145, 0.7146, 0.7147, 0.7148, 0.7149, 0.715, 0.7151000000000001, 0.7152000000000001, 0.7153, 0.7154, 0.7155, 0.7156, 0.7157, 0.7158, 0.7159, 0.716, 0.7161, 0.7162, 0.7163, 0.7164, 0.7165, 0.7166, 0.7167, 0.7168, 0.7169, 0.717, 0.7171000000000001, 0.7172000000000001, 0.7173, 0.7174, 0.7175, 0.7176, 0.7177, 0.7178, 0.7179, 0.718, 0.7181, 0.7182, 0.7183, 0.7184, 0.7185, 0.7186, 0.7187, 0.7188, 0.7189, 0.719, 0.7191000000000001, 0.7192000000000001, 0.7193, 0.7194, 0.7195, 0.7196, 0.7197, 0.7198, 0.7199, 0.72, 0.7201, 0.7202, 0.7203, 0.7204, 0.7205, 0.7206, 0.7207, 0.7208, 0.7209, 0.721, 0.7211000000000001, 0.7212000000000001, 0.7213, 0.7214, 0.7215, 0.7216, 0.7217, 0.7218, 0.7219, 0.722, 0.7221, 0.7222, 0.7222999999999999, 0.7224, 0.7225, 0.7226, 0.7227, 0.7228, 0.7229, 0.723, 0.7231000000000001, 0.7232000000000001, 0.7233, 0.7234, 0.7235, 0.7236, 0.7237, 0.7238, 0.7239, 0.724, 0.7241, 0.7242, 0.7242999999999999, 0.7244, 0.7245, 0.7246, 0.7247, 0.7248, 0.7249, 0.725, 0.7251000000000001, 0.7252000000000001, 0.7253000000000001, 0.7254, 0.7255, 0.7256, 0.7257, 0.7258, 0.7259, 0.726, 0.7261, 0.7262, 0.7263, 0.7264, 0.7265, 0.7266, 0.7267, 0.7268, 0.7269, 0.727, 0.7271000000000001, 0.7272000000000001, 0.7273000000000001, 0.7274, 0.7275, 0.7276, 0.7277, 0.7278, 0.7279, 0.728, 0.7281, 0.7282, 0.7283, 0.7284, 0.7285, 0.7286, 0.7287, 0.7288, 0.7289, 0.729, 0.7291, 0.7292000000000001, 0.7293000000000001, 0.7294, 0.7295, 0.7296, 0.7297, 0.7298, 0.7299, 0.73, 0.7301, 0.7302, 0.7303, 0.7304, 0.7305, 0.7306, 0.7307, 0.7308, 0.7309, 0.731, 0.7311, 0.7312000000000001, 0.7313000000000001, 0.7314, 0.7315, 0.7316, 0.7317, 0.7318, 0.7319, 0.732, 0.7321, 0.7322, 0.7323, 0.7324, 0.7325, 0.7326, 0.7327, 0.7328, 0.7329, 0.733, 0.7331, 0.7332000000000001, 0.7333000000000001, 0.7334, 0.7335, 0.7336, 0.7337, 0.7338, 0.7339, 0.734, 0.7341, 0.7342, 0.7343, 0.7344, 0.7345, 0.7346, 0.7347, 0.7348, 0.7349, 0.735, 0.7351, 0.7352000000000001, 0.7353000000000001, 0.7354, 0.7355, 0.7356, 0.7357, 0.7358, 0.7359, 0.736, 0.7361, 0.7362, 0.7363, 0.7363999999999999, 0.7365, 0.7366, 0.7367, 0.7368, 0.7369, 0.737, 0.7371, 0.7372000000000001, 0.7373000000000001, 0.7374, 0.7375, 0.7376, 0.7377, 0.7378, 0.7379, 0.738, 0.7381, 0.7382, 0.7383, 0.7384, 0.7385, 0.7386, 0.7387, 0.7388, 0.7389, 0.739, 0.7391, 0.7392000000000001, 0.7393000000000001, 0.7394000000000001, 0.7395, 0.7396, 0.7397, 0.7398, 0.7399, 0.74, 0.7401, 0.7402, 0.7403, 0.7404, 0.7405, 0.7406, 0.7407, 0.7408, 0.7409, 0.741, 0.7411, 0.7412, 0.7413000000000001, 0.7414000000000001, 0.7415, 0.7416, 0.7417, 0.7418, 0.7419, 0.742, 0.7421, 0.7422, 0.7423, 0.7424, 0.7425, 0.7426, 0.7427, 0.7428, 0.7429, 0.743, 0.7431, 0.7432, 0.7433000000000001, 0.7434000000000001, 0.7435, 0.7436, 0.7437, 0.7438, 0.7439, 0.744, 0.7441, 0.7442, 0.7443, 0.7444, 0.7445, 0.7446, 0.7447, 0.7448, 0.7449, 0.745, 0.7451, 0.7452, 0.7453000000000001, 0.7454000000000001, 0.7455, 0.7456, 0.7457, 0.7458, 0.7459, 0.746, 0.7461, 0.7462, 0.7463, 0.7464, 0.7465, 0.7466, 0.7467, 0.7468, 0.7469, 0.747, 0.7471, 0.7472, 0.7473000000000001, 0.7474000000000001, 0.7475, 0.7476, 0.7477, 0.7478, 0.7479, 0.748, 0.7481, 0.7482, 0.7483, 0.7484, 0.7484999999999999, 0.7486, 0.7487, 0.7488, 0.7489, 0.749, 0.7491, 0.7492, 0.7493000000000001, 0.7494000000000001, 0.7495, 0.7496, 0.7497, 0.7498, 0.7499, 0.75, 0.7501, 0.7502, 0.7503, 0.7504, 0.7505, 0.7505999999999999, 0.7507, 0.7508, 0.7509, 0.751, 0.7511, 0.7512000000000001, 0.7513000000000001, 0.7514000000000001, 0.7515000000000001, 0.7516, 0.7517, 0.7518, 0.7519, 0.752, 0.7521, 0.7522, 0.7523, 0.7524, 0.7525, 0.7525999999999999, 0.7527, 0.7528, 0.7529, 0.753, 0.7531, 0.7532000000000001, 0.7533000000000001, 0.7534000000000001, 0.7535000000000001, 0.7536, 0.7537, 0.7538, 0.7539, 0.754, 0.7541, 0.7542, 0.7543, 0.7544, 0.7545, 0.7545999999999999, 0.7547, 0.7548, 0.7549, 0.755, 0.7551, 0.7552000000000001, 0.7553000000000001, 0.7554000000000001, 0.7555000000000001, 0.7556, 0.7557, 0.7558, 0.7559, 0.756, 0.7561, 0.7562, 0.7563, 0.7564, 0.7565, 0.7565999999999999, 0.7567, 0.7568, 0.7569, 0.757, 0.7571, 0.7572000000000001, 0.7573000000000001, 0.7574000000000001, 0.7575000000000001, 0.7576, 0.7577, 0.7578, 0.7579, 0.758, 0.7581, 0.7582, 0.7583, 0.7584, 0.7585, 0.7585999999999999, 0.7586999999999999, 0.7588, 0.7589, 0.759, 0.7591, 0.7592, 0.7593000000000001, 0.7594000000000001, 0.7595000000000001, 0.7596, 0.7597, 0.7598, 0.7599, 0.76, 0.7601, 0.7602, 0.7603, 0.7604, 0.7605, 0.7605999999999999, 0.7606999999999999, 0.7608, 0.7609, 0.761, 0.7611, 0.7612, 0.7613000000000001, 0.7614000000000001, 0.7615000000000001, 0.7616, 0.7617, 0.7618, 0.7619, 0.762, 0.7621, 0.7622, 0.7623, 0.7624, 0.7625, 0.7626, 0.7626999999999999, 0.7628, 0.7629, 0.763, 0.7631, 0.7632, 0.7633000000000001, 0.7634000000000001, 0.7635000000000001, 0.7636000000000001, 0.7637, 0.7638, 0.7639, 0.764, 0.7641, 0.7642, 0.7643, 0.7644, 0.7645, 0.7646, 0.7646999999999999, 0.7648, 0.7649, 0.765, 0.7651, 0.7652, 0.7653000000000001, 0.7654000000000001, 0.7655000000000001, 0.7656000000000001, 0.7657, 0.7658, 0.7659, 0.766, 0.7661, 0.7662, 0.7663, 0.7664, 0.7665, 0.7666, 0.7666999999999999, 0.7668, 0.7669, 0.767, 0.7671, 0.7672, 0.7673000000000001, 0.7674000000000001, 0.7675000000000001, 0.7676000000000001, 0.7677, 0.7678, 0.7679, 0.768, 0.7681, 0.7682, 0.7683, 0.7684, 0.7685, 0.7686, 0.7686999999999999, 0.7688, 0.7689, 0.769, 0.7691, 0.7692, 0.7693000000000001, 0.7694000000000001, 0.7695000000000001, 0.7696000000000001, 0.7697, 0.7698, 0.7699, 0.77, 0.7701, 0.7702, 0.7703, 0.7704, 0.7705, 0.7706, 0.7706999999999999, 0.7708, 0.7709, 0.771, 0.7711, 0.7712, 0.7713, 0.7714000000000001, 0.7715000000000001, 0.7716000000000001, 0.7717, 0.7718, 0.7719, 0.772, 0.7721, 0.7722, 0.7723, 0.7724, 0.7725, 0.7726, 0.7726999999999999, 0.7727999999999999, 0.7729, 0.773, 0.7731, 0.7732, 0.7733, 0.7734000000000001, 0.7735000000000001, 0.7736000000000001, 0.7737, 0.7738, 0.7739, 0.774, 0.7741, 0.7742, 0.7743, 0.7744, 0.7745, 0.7746, 0.7746999999999999, 0.7747999999999999, 0.7749, 0.775, 0.7751, 0.7752, 0.7753, 0.7754000000000001, 0.7755000000000001, 0.7756000000000001, 0.7757000000000001, 0.7758, 0.7759, 0.776, 0.7761, 0.7762, 0.7763, 0.7764, 0.7765, 0.7766, 0.7767, 0.7767999999999999, 0.7769, 0.777, 0.7771, 0.7772, 0.7773, 0.7774000000000001, 0.7775000000000001, 0.7776000000000001, 0.7777000000000001, 0.7778, 0.7779, 0.778, 0.7781, 0.7782, 0.7783, 0.7784, 0.7785, 0.7786, 0.7787, 0.7787999999999999, 0.7789, 0.779, 0.7791, 0.7792, 0.7793, 0.7794000000000001, 0.7795000000000001, 0.7796000000000001, 0.7797000000000001, 0.7798, 0.7799, 0.78, 0.7801, 0.7802, 0.7803, 0.7804, 0.7805, 0.7806, 0.7807, 0.7807999999999999, 0.7809, 0.781, 0.7811, 0.7812, 0.7813, 0.7814000000000001, 0.7815000000000001, 0.7816000000000001, 0.7817000000000001, 0.7818, 0.7819, 0.782, 0.7821, 0.7822, 0.7823, 0.7824, 0.7825, 0.7826, 0.7827, 0.7827999999999999, 0.7829, 0.783, 0.7831, 0.7832, 0.7833, 0.7834000000000001, 0.7835000000000001, 0.7836000000000001, 0.7837000000000001, 0.7838, 0.7839, 0.784, 0.7841, 0.7842, 0.7843, 0.7844, 0.7845, 0.7846, 0.7847, 0.7847999999999999, 0.7848999999999999, 0.785, 0.7851, 0.7852, 0.7853, 0.7854, 0.7855000000000001, 0.7856000000000001, 0.7857000000000001, 0.7858, 0.7859, 0.786, 0.7861, 0.7862, 0.7863, 0.7864, 0.7865, 0.7866, 0.7867, 0.7867999999999999, 0.7868999999999999, 0.787, 0.7871, 0.7872, 0.7873, 0.7874, 0.7875000000000001, 0.7876000000000001, 0.7877000000000001, 0.7878000000000001, 0.7879, 0.788, 0.7881, 0.7882, 0.7883, 0.7884, 0.7885, 0.7886, 0.7887, 0.7888, 0.7888999999999999, 0.789, 0.7891, 0.7892, 0.7893, 0.7894, 0.7895000000000001, 0.7896000000000001, 0.7897000000000001, 0.7898000000000001, 0.7899, 0.79, 0.7901, 0.7902, 0.7903, 0.7904, 0.7905, 0.7906, 0.7907, 0.7908, 0.7908999999999999, 0.791, 0.7911, 0.7912, 0.7913, 0.7914, 0.7915000000000001, 0.7916000000000001, 0.7917000000000001, 0.7918000000000001, 0.7919, 0.792, 0.7921, 0.7922, 0.7923, 0.7924, 0.7925, 0.7926, 0.7927, 0.7928, 0.7928999999999999, 0.793, 0.7931, 0.7932, 0.7933, 0.7934, 0.7935000000000001, 0.7936000000000001, 0.7937000000000001, 0.7938000000000001, 0.7939, 0.794, 0.7941, 0.7942, 0.7943, 0.7944, 0.7945, 0.7946, 0.7947, 0.7948, 0.7948999999999999, 0.795, 0.7951, 0.7952, 0.7953, 0.7954, 0.7955000000000001, 0.7956000000000001, 0.7957000000000001, 0.7958000000000001, 0.7959, 0.796, 0.7961, 0.7962, 0.7963, 0.7964, 0.7965, 0.7966, 0.7967, 0.7968, 0.7968999999999999, 0.797, 0.7971, 0.7972, 0.7973, 0.7974, 0.7975, 0.7976000000000001, 0.7977000000000001, 0.7978000000000001, 0.7979, 0.798, 0.7981, 0.7982, 0.7983, 0.7984, 0.7985, 0.7986, 0.7987, 0.7988, 0.7988999999999999, 0.7989999999999999, 0.7991, 0.7992, 0.7993, 0.7994, 0.7995, 0.7996000000000001, 0.7997000000000001, 0.7998000000000001, 0.7999, 0.8, 0.8001, 0.8002, 0.8003, 0.8004, 0.8005, 0.8006, 0.8007, 0.8008, 0.8009, 0.8009999999999999, 0.8011, 0.8012, 0.8013, 0.8014, 0.8015, 0.8016000000000001, 0.8017000000000001, 0.8018000000000001, 0.8019000000000001, 0.802, 0.8021, 0.8022, 0.8023, 0.8024, 0.8025, 0.8026, 0.8027, 0.8028, 0.8029, 0.8029999999999999, 0.8031, 0.8032, 0.8033, 0.8034, 0.8035, 0.8036000000000001, 0.8037000000000001, 0.8038000000000001, 0.8039000000000001, 0.804, 0.8041, 0.8042, 0.8043, 0.8044, 0.8045, 0.8046, 0.8047, 0.8048, 0.8049, 0.8049999999999999, 0.8051, 0.8052, 0.8053, 0.8054, 0.8055, 0.8056000000000001, 0.8057000000000001, 0.8058000000000001, 0.8059000000000001, 0.806, 0.8061, 0.8062, 0.8063, 0.8064, 0.8065, 0.8066, 0.8067, 0.8068, 0.8069, 0.8069999999999999, 0.8071, 0.8072, 0.8073, 0.8074, 0.8075, 0.8076000000000001, 0.8077000000000001, 0.8078000000000001, 0.8079000000000001, 0.808, 0.8081, 0.8082, 0.8083, 0.8084, 0.8085, 0.8086, 0.8087, 0.8088, 0.8089, 0.8089999999999999, 0.8091, 0.8092, 0.8093, 0.8094, 0.8095, 0.8096000000000001, 0.8097000000000001, 0.8098000000000001, 0.8099000000000001, 0.81, 0.8101, 0.8102, 0.8103, 0.8104, 0.8105, 0.8106, 0.8107, 0.8108, 0.8109, 0.8109999999999999, 0.8110999999999999, 0.8112, 0.8113, 0.8114, 0.8115, 0.8116, 0.8117000000000001, 0.8118000000000001, 0.8119000000000001, 0.812, 0.8121, 0.8122, 0.8123, 0.8124, 0.8125, 0.8126, 0.8127, 0.8128, 0.8129, 0.813, 0.8130999999999999, 0.8132, 0.8133, 0.8134, 0.8135, 0.8136, 0.8137000000000001, 0.8138000000000001, 0.8139000000000001, 0.8140000000000001, 0.8141, 0.8142, 0.8143, 0.8144, 0.8145, 0.8146, 0.8147, 0.8148, 0.8149, 0.815, 0.8150999999999999, 0.8152, 0.8153, 0.8154, 0.8155, 0.8156, 0.8157000000000001, 0.8158000000000001, 0.8159000000000001, 0.8160000000000001, 0.8161, 0.8162, 0.8163, 0.8164, 0.8165, 0.8166, 0.8167, 0.8168, 0.8169, 0.817, 0.8170999999999999, 0.8172, 0.8173, 0.8174, 0.8175, 0.8176, 0.8177000000000001, 0.8178000000000001, 0.8179000000000001, 0.8180000000000001, 0.8181, 0.8182, 0.8183, 0.8184, 0.8185, 0.8186, 0.8187, 0.8188, 0.8189, 0.819, 0.8190999999999999, 0.8192, 0.8193, 0.8194, 0.8195, 0.8196, 0.8197000000000001, 0.8198000000000001, 0.8199000000000001, 0.8200000000000001, 0.8201, 0.8202, 0.8203, 0.8204, 0.8205, 0.8206, 0.8207, 0.8208, 0.8209, 0.821, 0.8210999999999999, 0.8212, 0.8213, 0.8214, 0.8215, 0.8216, 0.8217000000000001, 0.8218000000000001, 0.8219000000000001, 0.8220000000000001, 0.8221, 0.8222, 0.8223, 0.8224, 0.8225, 0.8226, 0.8227, 0.8228, 0.8229, 0.823, 0.8230999999999999, 0.8232, 0.8233, 0.8234, 0.8235, 0.8236, 0.8237000000000001, 0.8238000000000001, 0.8239000000000001, 0.8240000000000001, 0.8241, 0.8242, 0.8243, 0.8244, 0.8245, 0.8246, 0.8247, 0.8248, 0.8249, 0.825, 0.8251, 0.8251999999999999, 0.8253, 0.8254, 0.8255, 0.8256, 0.8257, 0.8258000000000001, 0.8259000000000001, 0.8260000000000001, 0.8261000000000001, 0.8262, 0.8263, 0.8264, 0.8265, 0.8266, 0.8267, 0.8268, 0.8269, 0.827, 0.8271, 0.8271999999999999, 0.8273, 0.8274, 0.8275, 0.8276, 0.8277, 0.8278000000000001, 0.8279000000000001, 0.8280000000000001, 0.8281000000000001, 0.8282, 0.8283, 0.8284, 0.8285, 0.8286, 0.8287, 0.8288, 0.8289, 0.829, 0.8291, 0.8291999999999999, 0.8293, 0.8294, 0.8295, 0.8296, 0.8297, 0.8298000000000001, 0.8299000000000001, 0.8300000000000001, 0.8301000000000001, 0.8302, 0.8303, 0.8304, 0.8305, 0.8306, 0.8307, 0.8308, 0.8309, 0.831, 0.8311, 0.8311999999999999, 0.8313, 0.8314, 0.8315, 0.8316, 0.8317, 0.8318000000000001, 0.8319000000000001, 0.8320000000000001, 0.8321000000000001, 0.8322, 0.8323, 0.8324, 0.8325, 0.8326, 0.8327, 0.8328, 0.8329, 0.833, 0.8331, 0.8331999999999999, 0.8333, 0.8334, 0.8335, 0.8336, 0.8337, 0.8338000000000001, 0.8339000000000001, 0.8340000000000001, 0.8341000000000001, 0.8342, 0.8343, 0.8344, 0.8345, 0.8346, 0.8347, 0.8348, 0.8349, 0.835, 0.8351, 0.8351999999999999, 0.8353, 0.8354, 0.8355, 0.8356, 0.8357, 0.8358000000000001, 0.8359000000000001, 0.8360000000000001, 0.8361000000000001, 0.8362, 0.8363, 0.8364, 0.8365, 0.8366, 0.8367, 0.8368, 0.8369, 0.837, 0.8371, 0.8371999999999999, 0.8372999999999999, 0.8374, 0.8375, 0.8376, 0.8377, 0.8378, 0.8379000000000001, 0.8380000000000001, 0.8381000000000001, 0.8382000000000001, 0.8383, 0.8384, 0.8385, 0.8386, 0.8387, 0.8388, 0.8389, 0.839, 0.8391, 0.8392, 0.8392999999999999, 0.8394, 0.8395, 0.8396, 0.8397, 0.8398, 0.8399000000000001, 0.8400000000000001, 0.8401000000000001, 0.8402000000000001, 0.8403, 0.8404, 0.8405, 0.8406, 0.8407, 0.8408, 0.8409, 0.841, 0.8411, 0.8412, 0.8412999999999999, 0.8414, 0.8415, 0.8416, 0.8417, 0.8418, 0.8419000000000001, 0.8420000000000001, 0.8421000000000001, 0.8422000000000001, 0.8423, 0.8424, 0.8425, 0.8426, 0.8427, 0.8428, 0.8429, 0.843, 0.8431, 0.8432, 0.8432999999999999, 0.8434, 0.8435, 0.8436, 0.8437, 0.8438, 0.8439000000000001, 0.8440000000000001, 0.8441000000000001, 0.8442000000000001, 0.8443, 0.8444, 0.8445, 0.8446, 0.8447, 0.8448, 0.8449, 0.845, 0.8451, 0.8452, 0.8452999999999999, 0.8454, 0.8455, 0.8456, 0.8457, 0.8458, 0.8459000000000001, 0.8460000000000001, 0.8461000000000001, 0.8462000000000001, 0.8463, 0.8464, 0.8465, 0.8466, 0.8467, 0.8468, 0.8469, 0.847, 0.8471, 0.8472, 0.8472999999999999, 0.8474, 0.8475, 0.8476, 0.8477, 0.8478, 0.8479000000000001, 0.8480000000000001, 0.8481000000000001, 0.8482000000000001, 0.8483, 0.8484, 0.8485, 0.8486, 0.8487, 0.8488, 0.8489, 0.849, 0.8491, 0.8492, 0.8492999999999999, 0.8494, 0.8495, 0.8496, 0.8497, 0.8498, 0.8499000000000001, 0.8500000000000001, 0.8501000000000001, 0.8502000000000001, 0.8503000000000001, 0.8504, 0.8505, 0.8506, 0.8507, 0.8508, 0.8509, 0.851, 0.8511, 0.8512, 0.8513, 0.8513999999999999, 0.8515, 0.8516, 0.8517, 0.8518, 0.8519, 0.8520000000000001, 0.8521000000000001, 0.8522000000000001, 0.8523000000000001, 0.8524, 0.8525, 0.8526, 0.8527, 0.8528, 0.8529, 0.853, 0.8531, 0.8532, 0.8533, 0.8533999999999999, 0.8535, 0.8536, 0.8537, 0.8538, 0.8539, 0.8540000000000001, 0.8541000000000001, 0.8542000000000001, 0.8543000000000001, 0.8544, 0.8545, 0.8546, 0.8547, 0.8548, 0.8549, 0.855, 0.8551, 0.8552, 0.8553, 0.8553999999999999, 0.8555, 0.8556, 0.8557, 0.8558, 0.8559, 0.8560000000000001, 0.8561000000000001, 0.8562000000000001, 0.8563000000000001, 0.8564, 0.8565, 0.8566, 0.8567, 0.8568, 0.8569, 0.857, 0.8571, 0.8572, 0.8573, 0.8573999999999999, 0.8575, 0.8576, 0.8577, 0.8578, 0.8579, 0.8580000000000001, 0.8581000000000001, 0.8582000000000001, 0.8583000000000001, 0.8584, 0.8585, 0.8586, 0.8587, 0.8588, 0.8589, 0.859, 0.8591, 0.8592, 0.8593, 0.8593999999999999, 0.8595, 0.8596, 0.8597, 0.8598, 0.8599, 0.8600000000000001, 0.8601000000000001, 0.8602000000000001, 0.8603000000000001, 0.8604, 0.8605, 0.8606, 0.8607, 0.8608, 0.8609, 0.861, 0.8611, 0.8612, 0.8613, 0.8613999999999999, 0.8615, 0.8616, 0.8617, 0.8618, 0.8619, 0.8620000000000001, 0.8621000000000001, 0.8622000000000001, 0.8623000000000001, 0.8624, 0.8625, 0.8626, 0.8627, 0.8628, 0.8629, 0.863, 0.8631, 0.8632, 0.8633, 0.8634, 0.8634999999999999, 0.8636, 0.8637, 0.8638, 0.8639, 0.864, 0.8641000000000001, 0.8642000000000001, 0.8643000000000001, 0.8644000000000001, 0.8645, 0.8646, 0.8647, 0.8648, 0.8649, 0.865, 0.8651, 0.8652, 0.8653, 0.8654, 0.8654999999999999, 0.8656, 0.8657, 0.8658, 0.8659, 0.866, 0.8661000000000001, 0.8662000000000001, 0.8663000000000001, 0.8664000000000001, 0.8665, 0.8666, 0.8667, 0.8668, 0.8669, 0.867, 0.8671, 0.8672, 0.8673, 0.8674, 0.8674999999999999, 0.8676, 0.8677, 0.8678, 0.8679, 0.868, 0.8681000000000001, 0.8682000000000001, 0.8683000000000001, 0.8684000000000001, 0.8685, 0.8686, 0.8687, 0.8688, 0.8689, 0.869, 0.8691, 0.8692, 0.8693, 0.8694, 0.8694999999999999, 0.8696, 0.8697, 0.8698, 0.8699, 0.87, 0.8701000000000001, 0.8702000000000001, 0.8703000000000001, 0.8704000000000001, 0.8705, 0.8706, 0.8707, 0.8708, 0.8709, 0.871, 0.8711, 0.8712, 0.8713, 0.8714, 0.8714999999999999, 0.8716, 0.8717, 0.8718, 0.8719, 0.872, 0.8721000000000001, 0.8722000000000001, 0.8723000000000001, 0.8724000000000001, 0.8725, 0.8726, 0.8727, 0.8728, 0.8729, 0.873, 0.8731, 0.8732, 0.8733, 0.8734, 0.8734999999999999, 0.8736, 0.8737, 0.8738, 0.8739, 0.874, 0.8741000000000001, 0.8742000000000001, 0.8743000000000001, 0.8744000000000001, 0.8745, 0.8746, 0.8747, 0.8748, 0.8749, 0.875, 0.8751, 0.8752, 0.8753, 0.8754, 0.8755, 0.8756, 0.8757, 0.8758, 0.8759, 0.876, 0.8761000000000001, 0.8762000000000001, 0.8763000000000001, 0.8764000000000001, 0.8765000000000001, 0.8766, 0.8767, 0.8768, 0.8769, 0.877, 0.8771, 0.8772, 0.8773, 0.8774, 0.8775, 0.8775999999999999, 0.8777, 0.8778, 0.8779, 0.878, 0.8781, 0.8782000000000001, 0.8783000000000001, 0.8784000000000001, 0.8785000000000001, 0.8786, 0.8787, 0.8788, 0.8789, 0.879, 0.8791, 0.8792, 0.8793, 0.8794, 0.8795, 0.8795999999999999, 0.8797, 0.8798, 0.8799, 0.88, 0.8801, 0.8802000000000001, 0.8803000000000001, 0.8804000000000001, 0.8805000000000001, 0.8806, 0.8807, 0.8808, 0.8809, 0.881, 0.8811, 0.8812, 0.8813, 0.8814, 0.8815, 0.8815999999999999, 0.8817, 0.8818, 0.8819, 0.882, 0.8821, 0.8822000000000001, 0.8823000000000001, 0.8824000000000001, 0.8825000000000001, 0.8826, 0.8827, 0.8828, 0.8829, 0.883, 0.8831, 0.8832, 0.8833, 0.8834, 0.8835, 0.8835999999999999, 0.8837, 0.8838, 0.8839, 0.884, 0.8841, 0.8842000000000001, 0.8843000000000001, 0.8844000000000001, 0.8845000000000001, 0.8846, 0.8847, 0.8848, 0.8849, 0.885, 0.8851, 0.8852, 0.8853, 0.8854, 0.8855, 0.8855999999999999, 0.8857, 0.8858, 0.8859, 0.886, 0.8861, 0.8862000000000001, 0.8863000000000001, 0.8864000000000001, 0.8865000000000001, 0.8866, 0.8867, 0.8868, 0.8869, 0.887, 0.8871, 0.8872, 0.8873, 0.8874, 0.8875, 0.8876, 0.8877, 0.8878, 0.8879, 0.888, 0.8881, 0.8882000000000001, 0.8883000000000001, 0.8884000000000001, 0.8885000000000001, 0.8886000000000001, 0.8887, 0.8888, 0.8889, 0.889, 0.8891, 0.8892, 0.8893, 0.8894, 0.8895, 0.8896, 0.8897, 0.8898, 0.8899, 0.89, 0.8901, 0.8902, 0.8903000000000001, 0.8904000000000001, 0.8905000000000001, 0.8906000000000001, 0.8907, 0.8908, 0.8909, 0.891, 0.8911, 0.8912, 0.8913, 0.8914, 0.8915, 0.8916, 0.8916999999999999, 0.8918, 0.8919, 0.892, 0.8921, 0.8922, 0.8923000000000001, 0.8924000000000001, 0.8925000000000001, 0.8926000000000001, 0.8927, 0.8928, 0.8929, 0.893, 0.8931, 0.8932, 0.8933, 0.8934, 0.8935, 0.8936, 0.8936999999999999, 0.8938, 0.8939, 0.894, 0.8941, 0.8942, 0.8943000000000001, 0.8944000000000001, 0.8945000000000001, 0.8946000000000001, 0.8947, 0.8948, 0.8949, 0.895, 0.8951, 0.8952, 0.8953, 0.8954, 0.8955, 0.8956, 0.8956999999999999, 0.8958, 0.8959, 0.896, 0.8961, 0.8962, 0.8963000000000001, 0.8964000000000001, 0.8965000000000001, 0.8966000000000001, 0.8967, 0.8968, 0.8969, 0.897, 0.8971, 0.8972, 0.8973, 0.8974, 0.8975, 0.8976, 0.8976999999999999, 0.8978, 0.8979, 0.898, 0.8981, 0.8982, 0.8983000000000001, 0.8984000000000001, 0.8985000000000001, 0.8986000000000001, 0.8987, 0.8988, 0.8989, 0.899, 0.8991, 0.8992, 0.8993, 0.8994, 0.8995, 0.8996, 0.8996999999999999, 0.8998, 0.8999, 0.9, 0.9001, 0.9002, 0.9003000000000001, 0.9004000000000001, 0.9005000000000001, 0.9006000000000001, 0.9007000000000001, 0.9008, 0.9009, 0.901, 0.9011, 0.9012, 0.9013, 0.9014, 0.9015, 0.9016, 0.9017, 0.9018, 0.9019, 0.902, 0.9021, 0.9022, 0.9023000000000001, 0.9024000000000001, 0.9025000000000001, 0.9026000000000001, 0.9027000000000001, 0.9028, 0.9029, 0.903, 0.9031, 0.9032, 0.9033, 0.9034, 0.9035, 0.9036, 0.9037, 0.9037999999999999, 0.9039, 0.904, 0.9041, 0.9042, 0.9043, 0.9044000000000001, 0.9045000000000001, 0.9046000000000001, 0.9047000000000001, 0.9048, 0.9049, 0.905, 0.9051, 0.9052, 0.9053, 0.9054, 0.9055, 0.9056, 0.9057, 0.9057999999999999, 0.9059, 0.906, 0.9061, 0.9062, 0.9063, 0.9064000000000001, 0.9065000000000001, 0.9066000000000001, 0.9067000000000001, 0.9068, 0.9069, 0.907, 0.9071, 0.9072, 0.9073, 0.9074, 0.9075, 0.9076, 0.9077, 0.9077999999999999, 0.9079, 0.908, 0.9081, 0.9082, 0.9083, 0.9084000000000001, 0.9085000000000001, 0.9086000000000001, 0.9087000000000001, 0.9088, 0.9089, 0.909, 0.9091, 0.9092, 0.9093, 0.9094, 0.9095, 0.9096, 0.9097, 0.9097999999999999, 0.9099, 0.91, 0.9101, 0.9102, 0.9103, 0.9104000000000001, 0.9105000000000001, 0.9106000000000001, 0.9107000000000001, 0.9108, 0.9109, 0.911, 0.9111, 0.9112, 0.9113, 0.9114, 0.9115, 0.9116, 0.9117, 0.9117999999999999, 0.9119, 0.912, 0.9121, 0.9122, 0.9123, 0.9124000000000001, 0.9125000000000001, 0.9126000000000001, 0.9127000000000001, 0.9128000000000001, 0.9129, 0.913, 0.9131, 0.9132, 0.9133, 0.9134, 0.9135, 0.9136, 0.9137, 0.9138, 0.9139, 0.914, 0.9141, 0.9142, 0.9143, 0.9144000000000001, 0.9145000000000001, 0.9146000000000001, 0.9147000000000001, 0.9148000000000001, 0.9149, 0.915, 0.9151, 0.9152, 0.9153, 0.9154, 0.9155, 0.9156, 0.9157, 0.9158, 0.9159, 0.916, 0.9161, 0.9162, 0.9163, 0.9164, 0.9165000000000001, 0.9166000000000001, 0.9167000000000001, 0.9168000000000001, 0.9169, 0.917, 0.9171, 0.9172, 0.9173, 0.9174, 0.9175, 0.9176, 0.9177, 0.9178, 0.9178999999999999, 0.918, 0.9181, 0.9182, 0.9183, 0.9184, 0.9185000000000001, 0.9186000000000001, 0.9187000000000001, 0.9188000000000001, 0.9189, 0.919, 0.9191, 0.9192, 0.9193, 0.9194, 0.9195, 0.9196, 0.9197, 0.9198, 0.9198999999999999, 0.92, 0.9201, 0.9202, 0.9203, 0.9204, 0.9205000000000001, 0.9206000000000001, 0.9207000000000001, 0.9208000000000001, 0.9209, 0.921, 0.9211, 0.9212, 0.9213, 0.9214, 0.9215, 0.9216, 0.9217, 0.9218, 0.9218999999999999, 0.922, 0.9221, 0.9222, 0.9223, 0.9224, 0.9225000000000001, 0.9226000000000001, 0.9227000000000001, 0.9228000000000001, 0.9229, 0.923, 0.9231, 0.9232, 0.9233, 0.9234, 0.9235, 0.9236, 0.9237, 0.9238, 0.9238999999999999, 0.924, 0.9241, 0.9242, 0.9243, 0.9244, 0.9245000000000001, 0.9246000000000001, 0.9247000000000001, 0.9248000000000001, 0.9249, 0.925, 0.9251, 0.9252, 0.9253, 0.9254, 0.9255, 0.9256, 0.9257, 0.9258, 0.9259, 0.926, 0.9261, 0.9262, 0.9263, 0.9264, 0.9265000000000001, 0.9266000000000001, 0.9267000000000001, 0.9268000000000001, 0.9269000000000001, 0.927, 0.9271, 0.9272, 0.9273, 0.9274, 0.9275, 0.9276, 0.9277, 0.9278, 0.9279, 0.928, 0.9281, 0.9282, 0.9283, 0.9284, 0.9285000000000001, 0.9286000000000001, 0.9287000000000001, 0.9288000000000001, 0.9289000000000001, 0.929, 0.9291, 0.9292, 0.9293, 0.9294, 0.9295, 0.9296, 0.9297, 0.9298, 0.9299, 0.9299999999999999, 0.9301, 0.9302, 0.9303, 0.9304, 0.9305, 0.9306000000000001, 0.9307000000000001, 0.9308000000000001, 0.9309000000000001, 0.931, 0.9311, 0.9312, 0.9313, 0.9314, 0.9315, 0.9316, 0.9317, 0.9318, 0.9319, 0.9319999999999999, 0.9321, 0.9322, 0.9323, 0.9324, 0.9325, 0.9326000000000001, 0.9327000000000001, 0.9328000000000001, 0.9329000000000001, 0.933, 0.9331, 0.9332, 0.9333, 0.9334, 0.9335, 0.9336, 0.9337, 0.9338, 0.9339, 0.9339999999999999, 0.9341, 0.9342, 0.9343, 0.9344, 0.9345, 0.9346000000000001, 0.9347000000000001, 0.9348000000000001, 0.9349000000000001, 0.935, 0.9351, 0.9352, 0.9353, 0.9354, 0.9355, 0.9356, 0.9357, 0.9358, 0.9359, 0.9359999999999999, 0.9361, 0.9362, 0.9363, 0.9364, 0.9365, 0.9366000000000001, 0.9367000000000001, 0.9368000000000001, 0.9369000000000001, 0.937, 0.9371, 0.9372, 0.9373, 0.9374, 0.9375, 0.9376, 0.9377, 0.9378, 0.9379, 0.938, 0.9381, 0.9382, 0.9383, 0.9384, 0.9385, 0.9386000000000001, 0.9387000000000001, 0.9388000000000001, 0.9389000000000001, 0.9390000000000001, 0.9391, 0.9392, 0.9393, 0.9394, 0.9395, 0.9396, 0.9397, 0.9398, 0.9399, 0.94, 0.9401, 0.9402, 0.9403, 0.9404, 0.9405, 0.9406000000000001, 0.9407000000000001, 0.9408000000000001, 0.9409000000000001, 0.9410000000000001, 0.9411, 0.9412, 0.9413, 0.9414, 0.9415, 0.9416, 0.9417, 0.9418, 0.9419, 0.942, 0.9421, 0.9422, 0.9423, 0.9424, 0.9425, 0.9426000000000001, 0.9427000000000001, 0.9428000000000001, 0.9429000000000001, 0.9430000000000001, 0.9431, 0.9432, 0.9433, 0.9434, 0.9435, 0.9436, 0.9437, 0.9438, 0.9439, 0.944, 0.9440999999999999, 0.9442, 0.9443, 0.9444, 0.9445, 0.9446, 0.9447000000000001, 0.9448000000000001, 0.9449000000000001, 0.9450000000000001, 0.9451, 0.9452, 0.9453, 0.9454, 0.9455, 0.9456, 0.9457, 0.9458, 0.9459, 0.946, 0.9460999999999999, 0.9462, 0.9463, 0.9464, 0.9465, 0.9466, 0.9467000000000001, 0.9468000000000001, 0.9469000000000001, 0.9470000000000001, 0.9471, 0.9472, 0.9473, 0.9474, 0.9475, 0.9476, 0.9477, 0.9478, 0.9479, 0.948, 0.9480999999999999, 0.9482, 0.9483, 0.9484, 0.9485, 0.9486, 0.9487000000000001, 0.9488000000000001, 0.9489000000000001, 0.9490000000000001, 0.9491, 0.9492, 0.9493, 0.9494, 0.9495, 0.9496, 0.9497, 0.9498, 0.9499, 0.95, 0.9501, 0.9502, 0.9503, 0.9504, 0.9505, 0.9506, 0.9507000000000001, 0.9508000000000001, 0.9509000000000001, 0.9510000000000001, 0.9511000000000001, 0.9512, 0.9513, 0.9514, 0.9515, 0.9516, 0.9517, 0.9518, 0.9519, 0.952, 0.9521, 0.9522, 0.9523, 0.9524, 0.9525, 0.9526, 0.9527000000000001, 0.9528000000000001, 0.9529000000000001, 0.9530000000000001, 0.9531000000000001, 0.9532, 0.9533, 0.9534, 0.9535, 0.9536, 0.9537, 0.9538, 0.9539, 0.954, 0.9541, 0.9542, 0.9543, 0.9544, 0.9545, 0.9546, 0.9547000000000001, 0.9548000000000001, 0.9549000000000001, 0.9550000000000001, 0.9551000000000001, 0.9552, 0.9553, 0.9554, 0.9555, 0.9556, 0.9557, 0.9558, 0.9559, 0.956, 0.9561, 0.9561999999999999, 0.9563, 0.9564, 0.9565, 0.9566, 0.9567, 0.9568000000000001, 0.9569000000000001, 0.9570000000000001, 0.9571000000000001, 0.9572, 0.9573, 0.9574, 0.9575, 0.9576, 0.9577, 0.9578, 0.9579, 0.958, 0.9581, 0.9581999999999999, 0.9583, 0.9584, 0.9585, 0.9586, 0.9587, 0.9588000000000001, 0.9589000000000001, 0.9590000000000001, 0.9591000000000001, 0.9592, 0.9593, 0.9594, 0.9595, 0.9596, 0.9597, 0.9598, 0.9599, 0.96, 0.9601, 0.9601999999999999, 0.9603, 0.9604, 0.9605, 0.9606, 0.9607, 0.9608000000000001, 0.9609000000000001, 0.9610000000000001, 0.9611000000000001, 0.9612, 0.9613, 0.9614, 0.9615, 0.9616, 0.9617, 0.9618, 0.9619, 0.962, 0.9621, 0.9621999999999999, 0.9623, 0.9624, 0.9625, 0.9626, 0.9627, 0.9628000000000001, 0.9629000000000001, 0.9630000000000001, 0.9631000000000001, 0.9632000000000001, 0.9633, 0.9634, 0.9635, 0.9636, 0.9637, 0.9638, 0.9639, 0.964, 0.9641, 0.9642, 0.9643, 0.9644, 0.9645, 0.9646, 0.9647, 0.9648000000000001, 0.9649000000000001, 0.9650000000000001, 0.9651000000000001, 0.9652000000000001, 0.9653, 0.9654, 0.9655, 0.9656, 0.9657, 0.9658, 0.9659, 0.966, 0.9661, 0.9662, 0.9663, 0.9664, 0.9665, 0.9666, 0.9667, 0.9668000000000001, 0.9669000000000001, 0.9670000000000001, 0.9671000000000001, 0.9672000000000001, 0.9673, 0.9674, 0.9675, 0.9676, 0.9677, 0.9678, 0.9679, 0.968, 0.9681, 0.9682, 0.9683, 0.9684, 0.9685, 0.9686, 0.9687, 0.9688000000000001, 0.9689000000000001, 0.9690000000000001, 0.9691000000000001, 0.9692000000000001, 0.9693, 0.9694, 0.9695, 0.9696, 0.9697, 0.9698, 0.9699, 0.97, 0.9701, 0.9702, 0.9702999999999999, 0.9704, 0.9705, 0.9706, 0.9707, 0.9708, 0.9709000000000001, 0.9710000000000001, 0.9711000000000001, 0.9712000000000001, 0.9713, 0.9714, 0.9715, 0.9716, 0.9717, 0.9718, 0.9719, 0.972, 0.9721, 0.9722, 0.9722999999999999, 0.9724, 0.9725, 0.9726, 0.9727, 0.9728, 0.9729000000000001, 0.9730000000000001, 0.9731000000000001, 0.9732000000000001, 0.9733, 0.9734, 0.9735, 0.9736, 0.9737, 0.9738, 0.9739, 0.974, 0.9741, 0.9742, 0.9742999999999999, 0.9744, 0.9745, 0.9746, 0.9747, 0.9748, 0.9749000000000001, 0.9750000000000001, 0.9751000000000001, 0.9752000000000001, 0.9753000000000001, 0.9754, 0.9755, 0.9756, 0.9757, 0.9758, 0.9759, 0.976, 0.9761, 0.9762, 0.9763, 0.9764, 0.9765, 0.9766, 0.9767, 0.9768, 0.9769000000000001, 0.9770000000000001, 0.9771000000000001, 0.9772000000000001, 0.9773000000000001, 0.9774, 0.9775, 0.9776, 0.9777, 0.9778, 0.9779, 0.978, 0.9781, 0.9782, 0.9783, 0.9784, 0.9785, 0.9786, 0.9787, 0.9788, 0.9789000000000001, 0.9790000000000001, 0.9791000000000001, 0.9792000000000001, 0.9793000000000001, 0.9794, 0.9795, 0.9796, 0.9797, 0.9798, 0.9799, 0.98, 0.9801, 0.9802, 0.9803, 0.9804, 0.9805, 0.9806, 0.9807, 0.9808, 0.9809000000000001, 0.9810000000000001, 0.9811000000000001, 0.9812000000000001, 0.9813000000000001, 0.9814, 0.9815, 0.9816, 0.9817, 0.9818, 0.9819, 0.982, 0.9821, 0.9822, 0.9823, 0.9823999999999999, 0.9825, 0.9826, 0.9827, 0.9828, 0.9829, 0.9830000000000001, 0.9831000000000001, 0.9832000000000001, 0.9833000000000001, 0.9834, 0.9835, 0.9836, 0.9837, 0.9838, 0.9839, 0.984, 0.9841, 0.9842, 0.9843, 0.9843999999999999, 0.9845, 0.9846, 0.9847, 0.9848, 0.9849, 0.9850000000000001, 0.9851000000000001, 0.9852000000000001, 0.9853000000000001, 0.9854, 0.9855, 0.9856, 0.9857, 0.9858, 0.9859, 0.986, 0.9861, 0.9862, 0.9863, 0.9863999999999999, 0.9865, 0.9866, 0.9867, 0.9868, 0.9869, 0.9870000000000001, 0.9871000000000001, 0.9872000000000001, 0.9873000000000001, 0.9874, 0.9875, 0.9876, 0.9877, 0.9878, 0.9879, 0.988, 0.9881, 0.9882, 0.9883, 0.9884, 0.9885, 0.9886, 0.9887, 0.9888, 0.9889, 0.9890000000000001, 0.9891000000000001, 0.9892000000000001, 0.9893000000000001, 0.9894000000000001, 0.9895, 0.9896, 0.9897, 0.9898, 0.9899, 0.99, 0.9901, 0.9902, 0.9903, 0.9904, 0.9905, 0.9906, 0.9907, 0.9908, 0.9909, 0.9910000000000001, 0.9911000000000001, 0.9912000000000001, 0.9913000000000001, 0.9914000000000001, 0.9915, 0.9916, 0.9917, 0.9918, 0.9919, 0.992, 0.9921, 0.9922, 0.9923, 0.9924, 0.9925, 0.9926, 0.9927, 0.9928, 0.9929, 0.9930000000000001, 0.9931000000000001, 0.9932000000000001, 0.9933000000000001, 0.9934000000000001, 0.9935, 0.9936, 0.9937, 0.9938, 0.9939, 0.994, 0.9941, 0.9942, 0.9943, 0.9944, 0.9945, 0.9946, 0.9947, 0.9948, 0.9949, 0.9950000000000001, 0.9951000000000001, 0.9952000000000001, 0.9953000000000001, 0.9954000000000001, 0.9955, 0.9956, 0.9957, 0.9958, 0.9959, 0.996, 0.9961, 0.9962, 0.9963, 0.9964, 0.9964999999999999, 0.9966, 0.9967, 0.9968, 0.9969, 0.997, 0.9971000000000001, 0.9972000000000001, 0.9973000000000001, 0.9974000000000001, 0.9975, 0.9976, 0.9977, 0.9978, 0.9979, 0.998, 0.9981, 0.9982, 0.9983, 0.9984, 0.9984999999999999, 0.9986, 0.9987, 0.9988, 0.9989, 0.999, 0.9991000000000001, 0.9992000000000001, 0.9993000000000001, 0.9994000000000001, 0.9995, 0.9996, 0.9997, 0.9998, 0.9999, 1.0], \\\"y\\\": [0.9977828742283905, 0.9977810259191574, 0.9977791776099241, 0.9977773293006909, 0.9977754809914575, 0.9977736326822243, 0.997771784372991, 0.9977699360637577, 0.9977680877545245, 0.9977662394452912, 0.9977643911360579, 0.9977625428268246, 0.9977606945175914, 0.9977588462083582, 0.997756997899125, 0.9977551495898915, 0.9977533012806583, 0.9977514529714251, 0.9977496046621919, 0.9977477563529585, 0.9977459080437253, 0.997744059734492, 0.9977422114252588, 0.9977403631160254, 0.9977385148067923, 0.9977366664975589, 0.9977348181883257, 0.9977329408403558, 0.997731055628858, 0.9977291704173601, 0.9977272852058623, 0.9977253999943645, 0.9977235147828666, 0.9977216295713688, 0.9977197443598709, 0.9977178591483731, 0.9977159739368753, 0.9977140887253775, 0.9977122035138796, 0.9977103183023817, 0.9977084330908839, 0.9977065478793861, 0.997704662667888, 0.9977027774563902, 0.9977008922448924, 0.9976990070333946, 0.9976971218218967, 0.9976952366103988, 0.997693351398901, 0.9976914661874032, 0.9976895809759054, 0.9976876957644075, 0.9976858105529096, 0.9976839253414118, 0.997682040129914, 0.9976801549184161, 0.9976782697069183, 0.9976768401436028, 0.9976755345142838, 0.9976742288849646, 0.9976729232556454, 0.9976716176263263, 0.9976703119970072, 0.997669006367688, 0.9976677007383687, 0.9976663951090498, 0.9976650894797305, 0.9976637838504114, 0.9976624782210923, 0.997661172591773, 0.9976598669624539, 0.9976585613331348, 0.9976572557038157, 0.9976559500744965, 0.9976546444451773, 0.9976533388158582, 0.9976520331865391, 0.9976507275572198, 0.9976494219279007, 0.9976481162985815, 0.9976468106692624, 0.9976455050399433, 0.9976441994106241, 0.997642893781305, 0.9976415881519858, 0.9976402825226667, 0.9976389768933474, 0.9976376712640282, 0.9976363656347091, 0.99763506000539, 0.9976337543760708, 0.9976324487467516, 0.9976311431174326, 0.9976298374881134, 0.9976285318587943, 0.9976272262294752, 0.997625920600156, 0.9976246149708368, 0.9976233093415177, 0.9976220037121986, 0.9976206980828793, 0.9976193924535603, 0.997618086824241, 0.9976167811949219, 0.9976154755656027, 0.9976141699362836, 0.9976128643069646, 0.9976115586776453, 0.9976102530483262, 0.997608947419007, 0.9976076417896879, 0.9976063361603686, 0.9976050305310495, 0.9976037249017304, 0.9976024192724111, 0.9976011136430921, 0.9975998080137729, 0.9975984973337735, 0.9975971734084161, 0.9975958494830589, 0.9975945255577015, 0.9975932016323443, 0.997591877706987, 0.9975905537816296, 0.9975892298562723, 0.997587905930915, 0.9975865820055578, 0.9975852580802005, 0.9975839341548431, 0.9975826102294858, 0.9975812863041285, 0.9975799623787712, 0.997578638453414, 0.9975773145280566, 0.9975759906026993, 0.997574666677342, 0.9975733427519847, 0.9975720188266274, 0.9975706592312108, 0.9975688678560537, 0.9975670764808968, 0.9975652851057398, 0.9975634937305828, 0.9975617023554257, 0.9975599109802689, 0.997558119605112, 0.9975563282299549, 0.9975545368547979, 0.9975527454796409, 0.9975509723763836, 0.997549803684066, 0.9975478082874347, 0.9975457066801817, 0.9975437886038562, 0.9975419972286992, 0.9975402058535423, 0.9975384144783852, 0.9975366231032282, 0.9975348317280713, 0.9975330403529143, 0.9975312489777574, 0.9975294576026004, 0.9975276662274435, 0.9975258748522864, 0.9975240834771295, 0.9975222921019725, 0.9975205007268155, 0.9975187093516587, 0.9975169179765015, 0.9975151266013447, 0.9975133352261877, 0.9975115438510307, 0.9975097524758738, 0.9975079611007167, 0.9975061697255598, 0.9975043783504028, 0.9975025869752459, 0.9975007956000888, 0.9974990042249319, 0.997497212849775, 0.9974954214746179, 0.997493630099461, 0.9974918387243039, 0.997490047349147, 0.9974882559739902, 0.9974864645988331, 0.9974846915554837, 0.9974834176474648, 0.9974821437394461, 0.997480869831427, 0.9974795959234082, 0.9974783220153894, 0.9974770481073706, 0.9974757741993516, 0.9974745002913329, 0.9974732263833139, 0.9974719524752951, 0.9974706785672762, 0.9974694046592574, 0.9974681307512385, 0.9974668568432197, 0.9974655829352008, 0.9974643090271819, 0.9974630351191631, 0.9974617612111442, 0.9974604873031252, 0.9974591764564789, 0.9974577472100191, 0.9974563179635594, 0.9974548887170998, 0.9974534594706399, 0.9974520302241802, 0.9974506009777205, 0.9974491717312608, 0.997447742484801, 0.9974463132383413, 0.9974448839918817, 0.9974434547454218, 0.9974420254989621, 0.9974405962525024, 0.9974391670060427, 0.9974377377595829, 0.9974363085131233, 0.9974348792666635, 0.9974334500202038, 0.9974320207737442, 0.9974305915272843, 0.9974291622808247, 0.9974277330343648, 0.9974263037879052, 0.9974248745414453, 0.9974234452949857, 0.9974220160485259, 0.9974205868020662, 0.9974191575556066, 0.9974177283091469, 0.997416299062687, 0.9974148698162274, 0.9974134405697677, 0.9974120113233079, 0.9974105820768482, 0.9974091528303886, 0.9974077235839287, 0.9974062943374691, 0.9974048650910093, 0.9974034358445496, 0.9974020065980898, 0.9974005773516301, 0.9973991481051704, 0.9973977188587106, 0.9973962896122509, 0.9973948603657912, 0.9973934311193315, 0.9973920018728717, 0.997390572626412, 0.9973891407016695, 0.9973877071774695, 0.9973862736532695, 0.9973848401290696, 0.9973832205638415, 0.9973796298667521, 0.9973760391696629, 0.9973724484725736, 0.9973688577754842, 0.9973652670783948, 0.9973616763813056, 0.9973580856842164, 0.9973544949871269, 0.9973509042900377, 0.9973485192476232, 0.9973464259139231, 0.9973432419524262, 0.9973400579909295, 0.9973368740294326, 0.9973336900679357, 0.997330506106439, 0.9973273221449421, 0.9973241381834452, 0.9973209542219483, 0.9973177702604517, 0.9973145862989548, 0.9973114023374579, 0.997308218375961, 0.9973050344144642, 0.9973018504529674, 0.9972986664914705, 0.9972954825299737, 0.9972922985684769, 0.9972891146069799, 0.9972859306454831, 0.9972827466839863, 0.9972795627224894, 0.9972763787609926, 0.9972743302735836, 0.997273064525544, 0.9972717987775044, 0.9972705330294647, 0.9972687010615902, 0.9972667655281797, 0.9972648299947694, 0.9972628944613591, 0.9972609589279486, 0.9972590233945383, 0.997257087861128, 0.9972551523277176, 0.9972532167943073, 0.9972512812608969, 0.9972493457274867, 0.9972474101940763, 0.9972454746606659, 0.9972435391272555, 0.9972416035938452, 0.997239668060435, 0.9972377325270245, 0.9972357969936141, 0.9972338614602039, 0.9972319259267935, 0.9972299903933831, 0.9972280548599728, 0.9972261193265624, 0.9972241837931521, 0.9972222482597417, 0.9972203127263315, 0.9972183771929211, 0.9972164416595107, 0.9972149498632876, 0.9972137215802906, 0.9972124932972937, 0.9972112650142967, 0.9972100367312997, 0.9972088084483026, 0.9972075801653058, 0.9972063518823088, 0.9972051235993118, 0.9972038953163147, 0.9972026275740747, 0.9972011528497642, 0.9971996781254537, 0.9971982034011433, 0.9971967286768327, 0.9971952539525222, 0.9971937792282116, 0.9971923045039011, 0.9971908297795906, 0.9971893550552802, 0.9971878803309696, 0.9971864056066589, 0.9971842082069695, 0.9971816086671466, 0.9971790091273236, 0.9971764095875006, 0.9971738100476775, 0.9971712105078545, 0.9971686109680316, 0.9971660114282086, 0.9971634118883855, 0.9971605129336993, 0.9971575211977165, 0.9971545294617337, 0.997151537725751, 0.9971490754566013, 0.9971470862604503, 0.9971450970642994, 0.9971431078681485, 0.9971411186719975, 0.9971391294758466, 0.9971371402796957, 0.9971351510835449, 0.9971331618873939, 0.9971311726912429, 0.9971291834950919, 0.997127194298941, 0.9971252051027901, 0.9971232159066392, 0.9971212267104883, 0.9971192375143374, 0.9971172483181865, 0.9971152591220356, 0.9971132699258847, 0.9971112807297338, 0.9971092915335827, 0.9971073023374317, 0.9971053131412808, 0.9971033239451299, 0.997101334748979, 0.9970993455528281, 0.9970973563566772, 0.9970953671605263, 0.9970933779643754, 0.9970913887682245, 0.9970893995720735, 0.9970874103759226, 0.997085668930032, 0.9970840405864498, 0.9970824122428676, 0.9970807838992854, 0.9970791555557031, 0.997077527212121, 0.9970758988685388, 0.9970742705249566, 0.9970726421813743, 0.9970710138377921, 0.9970693854942099, 0.9970677571506275, 0.9970661288070453, 0.9970645004634631, 0.9970628721198809, 0.997061333865875, 0.9970600061546306, 0.9970586572193039, 0.9970569923517827, 0.9970551459376323, 0.997053299523482, 0.9970514531093316, 0.9970496066951813, 0.9970477602810308, 0.9970459138668806, 0.9970440674527303, 0.9970422210385799, 0.9970403746244294, 0.9970385282102792, 0.9970366817961289, 0.9970348353819785, 0.9970329889678281, 0.9970311425536778, 0.9970292961395274, 0.9970274497253772, 0.9970256033112267, 0.9970237568970763, 0.9970219771837603, 0.9970202656004151, 0.99701855401707, 0.9970168424337249, 0.9970151308503798, 0.9970134192670346, 0.9970117076836895, 0.9970099961003445, 0.9970080482358736, 0.9970060062046501, 0.9970039641734266, 0.9970019221422031, 0.9969998801109795, 0.9969978380797561, 0.9969957960485325, 0.996993754017309, 0.9969917495916588, 0.9969897602867409, 0.9969877709818229, 0.996985781676905, 0.9969837923719871, 0.9969818030670692, 0.996979483961522, 0.9969771159403841, 0.9969747479192461, 0.996972379898108, 0.99697001187697, 0.9969676438558319, 0.9969652758346941, 0.9969629078135559, 0.9969605397924179, 0.9969581717712801, 0.996955803750142, 0.996953435729004, 0.9969510677078659, 0.9969486996867278, 0.99694633166559, 0.9969439636444519, 0.996941595623314, 0.9969392276021758, 0.996936859581038, 0.9969344915598999, 0.9969321235387619, 0.996929755517624, 0.9969275252342049, 0.996925444984865, 0.9969233834430098, 0.9969213551204735, 0.996919326797937, 0.9969172984754007, 0.9969152701528642, 0.9969132418303279, 0.9969112135077913, 0.996909185185255, 0.9969071568627186, 0.9969051285401822, 0.9969031002176457, 0.9969010718951093, 0.9968985185892337, 0.9968948874637339, 0.9968912098871877, 0.9968876547025483, 0.9968848320410708, 0.9968820093795935, 0.9968791867181159, 0.9968763640566386, 0.9968735413951612, 0.9968707187336838, 0.9968678960722064, 0.9968650734107289, 0.9968622507492515, 0.9968594280877741, 0.9968566054262966, 0.9968537827648192, 0.9968512195302565, 0.9968488289717193, 0.9968464384131821, 0.9968440478546452, 0.9968416572961081, 0.996839266737571, 0.9968368761790339, 0.9968344856204967, 0.9968323339675731, 0.9968311990012919, 0.9968300640350106, 0.9968288830496708, 0.9968276880852751, 0.9968264931208795, 0.996825298156484, 0.9968241031920884, 0.9968229082276927, 0.9968217132632973, 0.9968205182989016, 0.9968193233345062, 0.9968181283701106, 0.9968170914740199, 0.9968158746063212, 0.9968146370628889, 0.9968133995194567, 0.9968121619760246, 0.9968109244325924, 0.9968096868891603, 0.9968084493457281, 0.9968072118022959, 0.9968059742588637, 0.9968047379555623, 0.996803509786305, 0.9968022816170479, 0.9968010534477908, 0.9967998252785337, 0.9967985971092765, 0.9967973689400192, 0.9967961407707621, 0.996794912601505, 0.9967936844322478, 0.9967922752668912, 0.9967903770349327, 0.9967884788029742, 0.9967865805710157, 0.9967846823390571, 0.9967827841070986, 0.9967808858751401, 0.9967788465925158, 0.9967764756265929, 0.9967741046606702, 0.9967717926920865, 0.9967697909366888, 0.9967677891812912, 0.9967657874258936, 0.996763785670496, 0.9967617839150984, 0.9967597821597007, 0.9967575360503784, 0.9967552461048934, 0.9967529561594082, 0.9967506662139232, 0.9967483762684382, 0.9967460863229531, 0.9967437433006955, 0.9967413860976801, 0.9967390288946647, 0.9967365539677859, 0.9967338354319513, 0.9967311168961169, 0.9967283983602825, 0.9967256798244479, 0.9967229673755003, 0.9967207301093834, 0.9967184928432666, 0.9967162555771498, 0.9967140183110331, 0.9967117810449163, 0.9967091330279274, 0.9967064839229878, 0.9967038348180479, 0.9967013315890072, 0.9966995346188303, 0.9966976863571678, 0.9966958380955054, 0.9966939898338432, 0.9966921415721808, 0.9966902933105184, 0.9966884450488558, 0.9966865967871934, 0.996684748525531, 0.9966829002638686, 0.9966810520022064, 0.996677813651804, 0.9966745221131864, 0.9966712305745687, 0.9966667851119697, 0.9966622884259815, 0.9966577917399932, 0.996653295054005, 0.9966487983680167, 0.9966443016820286, 0.9966422424597063, 0.9966404508992526, 0.9966390263505931, 0.9966376018019334, 0.9966361772532737, 0.9966347527046142, 0.9966333281559545, 0.9966319036072948, 0.9966304790586351, 0.9966290545099754, 0.9966276299613158, 0.9966262054126561, 0.9966247808639966, 0.9966230472435793, 0.9966211773826227, 0.9966193271319898, 0.9966174768813568, 0.996615626630724, 0.9966137763800911, 0.9966119321660205, 0.9966102365000978, 0.9966085408341752, 0.9966068063209875, 0.9966045123703533, 0.9966022184197187, 0.9965999244690844, 0.9965976305184501, 0.9965953365678155, 0.9965930426171812, 0.9965907486665468, 0.9965884547159125, 0.996586172140526, 0.9965840028778653, 0.9965818336152046, 0.9965799330394267, 0.9965784363645628, 0.996576939689699, 0.9965756258427698, 0.9965744997691071, 0.9965733736954442, 0.9965722476217813, 0.9965711215481184, 0.9965689859608595, 0.9965667706513425, 0.9965645553418252, 0.9965623400323081, 0.9965601247227911, 0.996556900594503, 0.996553426713227, 0.9965499528319511, 0.9965464789506752, 0.9965430050693993, 0.9965395311881233, 0.9965360573068471, 0.9965318470526767, 0.9965271468660882, 0.9965224466794997, 0.9965177464929114, 0.9965130463063228, 0.9965083461197344, 0.9965054472870827, 0.996503505287545, 0.9965015632880074, 0.9964996212884697, 0.996497679288932, 0.9964957372893943, 0.9964940163259643, 0.996492347851111, 0.9964906793762576, 0.9964890109014041, 0.9964865217106549, 0.996483575697648, 0.9964798488669988, 0.9964761220363497, 0.9964731201447731, 0.9964713462935981, 0.9964695724424232, 0.9964669532857899, 0.9964642903862619, 0.9964616274867338, 0.9964590340627404, 0.9964555464928335, 0.996453799786877, 0.9964520530809204, 0.9964503063749639, 0.9964485596690074, 0.9964466364679877, 0.9964449130806738, 0.9964431896933601, 0.9964414663060465, 0.9964397429187327, 0.9964379370326433, 0.996434555197668, 0.9964311733626927, 0.9964275796702484, 0.9964238906575724, 0.9964216450587495, 0.9964193994599266, 0.9964171538611036, 0.9964136712021836, 0.996409753785864, 0.996406273765643, 0.9964027937454221, 0.9963993137252011, 0.9963958337049801, 0.9963922250309639, 0.9963878609437853, 0.9963834693709903, 0.9963790777981953, 0.9963746862254002, 0.9963717050808328, 0.9963693742967555, 0.996367043512678, 0.9963647127286007, 0.9963620079772215, 0.9963589671782987, 0.996355926379376, 0.9963532423989775, 0.9963507033391044, 0.9963477947499565, 0.9963445193349181, 0.9963398583734049, 0.9963346635314713, 0.9963294686895376, 0.9963242738476039, 0.9963190790056704, 0.996314241231777, 0.9963087680122591, 0.9963019822607102, 0.9962951965091612, 0.9962884107576123, 0.9962845925469203, 0.9962829616225194, 0.9962814737972393, 0.9962799859719593, 0.9962784981466792, 0.9962770103213991, 0.9962755224961191, 0.9962748124482315, 0.9962739997510233, 0.9962726116444812, 0.9962712213789282, 0.9962691550642468, 0.996266286544325, 0.996261457570875, 0.9962566285974251, 0.9962517996239753, 0.9962469706505255, 0.99624319739182, 0.9962395090265729, 0.9962377166173018, 0.9962356256823314, 0.9962332367268911, 0.9962308752503926, 0.9962287522981703, 0.9962266293459481, 0.9962245063937258, 0.9962225056011301, 0.9962205223602878, 0.9962185391194452, 0.9962165682095473, 0.9962154243049623, 0.996214670105172, 0.9962139159053817, 0.9962131617055914, 0.996212499468253, 0.9962118908729642, 0.9962113513357822, 0.9962108117985999, 0.9962102722614179, 0.9962077185149917, 0.9962042736469117, 0.9962006993397214, 0.9961971250325312, 0.9961935507253412, 0.9961893806524602, 0.9961863014421017, 0.9961832222317433, 0.9961801430213849, 0.9961761341616553, 0.9961720202294717, 0.9961702143377691, 0.9961684084460665, 0.9961666025543638, 0.9961643138254168, 0.9961616256407352, 0.9961589374560533, 0.9961562492713716, 0.9961549367276998, 0.9961538543110047, 0.9961531502630433, 0.996153037372832, 0.9961529244826207, 0.9961505553098756, 0.9961473720556542, 0.9961442060281311, 0.9961412520924329, 0.9961382981567346, 0.9961353442210364, 0.9961322386560417, 0.9961300226621959, 0.9961282031682044, 0.9961263836742127, 0.9961228731661802, 0.9961188544289654, 0.9961148356917509, 0.9961108169545361, 0.9961076174973136, 0.9961019062710457, 0.9960951312331825, 0.9960889849496706, 0.9960828386661587, 0.9960774027688196, 0.996075606258688, 0.9960738097485566, 0.9960720274556709, 0.9960702507928639, 0.9960684709799246, 0.9960666911669853, 0.9960646638330131, 0.9960600343009549, 0.9960553836843855, 0.9960511460740216, 0.9960471035734269, 0.996044056017976, 0.996041606421981, 0.996041235193353, 0.996040907731602, 0.996040120476497, 0.9960393028037824, 0.9960384851310677, 0.9960374460185446, 0.9960350706855952, 0.9960326953526457, 0.9960310967553158, 0.9960301437086005, 0.9960291906618852, 0.9960274192282059, 0.9960241343026277, 0.9960205348522723, 0.9960163305768339, 0.9960120963609341, 0.9960073200085398, 0.9960047978170776, 0.9960032983999267, 0.9960016071025938, 0.9959997428414452, 0.995997886082679, 0.9959959134342409, 0.9959939531638429, 0.9959920308978437, 0.9959886831285906, 0.9959846922423576, 0.9959807013561247, 0.9959768342232893, 0.9959737679669818, 0.9959711073309631, 0.9959677088484551, 0.9959643103659473, 0.9959609118834394, 0.9959584936224788, 0.9959557968359067, 0.9959511970727979, 0.995946714392052, 0.9959444240993174, 0.9959421338065829, 0.995939878295768, 0.9959392921374568, 0.9959388277859402, 0.9959365580565323, 0.9959349075989492, 0.9959343175204629, 0.9959326431349846, 0.9959275159930749, 0.9959232209494606, 0.995920702121686, 0.9959194849814077, 0.9959183560532174, 0.9959171770415091, 0.9959159980298007, 0.995908633185284, 0.9958993671519171, 0.9958856010512778, 0.9958785924097215, 0.9958732888977804, 0.9958712346935331, 0.9958692638388047, 0.9958670203300193, 0.9958627952709033, 0.9958595516712325, 0.9958582462100614, 0.9958556019860076, 0.9958528277738168, 0.9958500535616259, 0.9958466002290827, 0.995842691841188, 0.9958297654455659, 0.9958128164892441, 0.9957979656735554, 0.9957920610658638, 0.9957891473041868, 0.9957823768786527, 0.9957763171729779, 0.9957717861251814, 0.9957707091385845, 0.9957673678401427, 0.9957635639290985, 0.9957614860918953, 0.9957580960535491, 0.9957543665467056, 0.9957537834109317, 0.9957525556742851, 0.995750195641341, 0.9957470810533644, 0.9957440088257916, 0.9957402768409256, 0.9957357206915332, 0.9957307547583205, 0.9957258817923993, 0.9957243472897541, 0.995723549732832, 0.9957228824868467, 0.9957214706000086, 0.9957196764884122, 0.9957180491248041, 0.9957166682809582, 0.9957137680699266, 0.9957097237355251, 0.9957054812120992, 0.9957038905998272, 0.9957013250870715, 0.9956972116353502, 0.9956906259044322, 0.9956838625629261, 0.9956785342125737, 0.9956763053781815, 0.9956747509201116, 0.9956729810476994, 0.9956710715769367, 0.9956702789937326, 0.9956682667796537, 0.995666224021317, 0.9956660795080443, 0.9956649757778573, 0.9956613378743264, 0.995657814718296, 0.9956541660305823, 0.9956519570390182, 0.995649729125274, 0.9956474987089146, 0.9956403523275256, 0.9956346306988659, 0.9956319647979321, 0.9956284454638904, 0.9956229363560978, 0.9956192423216205, 0.9956158805075912, 0.9956156404764569, 0.9956135587049098, 0.9956115915504665, 0.9956096168527417, 0.9956075719129787, 0.9956061953887185, 0.9956042011636771, 0.9956020474515248, 0.9955979018437765, 0.9955932926424516, 0.9955872918809949, 0.9955807738509572, 0.9955770719856549, 0.9955741548257776, 0.9955713832038964, 0.9955659452432358, 0.9955562474207197, 0.9955468731329693, 0.9955427787622229, 0.9955405585072636, 0.9955385979168418, 0.9955326679312437, 0.9955273761524611, 0.9955242717862357, 0.9955227339187045, 0.9955177407514264, 0.9955149384532679, 0.9955122938317188, 0.9955078551239143, 0.9955012403214032, 0.9954943716679319, 0.9954895138747173, 0.9954884944734425, 0.9954855805739904, 0.9954820626253855, 0.9954798197286008, 0.9954778800484321, 0.9954760049621876, 0.9954748189665266, 0.9954710384924624, 0.9954659073219614, 0.9954622748273206, 0.995460697328236, 0.9954569536114337, 0.9954522452707458, 0.9954477504310435, 0.9954441516532859, 0.995441535264872, 0.9954374954219612, 0.995431065730635, 0.9954273115584524, 0.9954246932296973, 0.9954194416717231, 0.9954147556111357, 0.9954113477429595, 0.9954089363292081, 0.9954066530869303, 0.9954042282580469, 0.9954019834327598, 0.9953987154820633, 0.99539052965045, 0.9953837551016893, 0.995380622207084, 0.9953799382072915, 0.9953794417429589, 0.9953788449147591, 0.9953787373983567, 0.9953780607924145, 0.9953771499213675, 0.9953759457652204, 0.995368230382772, 0.9953580657796764, 0.9953525191987866, 0.9953445067754259, 0.9953331880810774, 0.9953250126005807, 0.99532342739292, 0.9953218421852592, 0.9953183845748481, 0.9953126176336611, 0.995306812812845, 0.9952993394225719, 0.9952899325803605, 0.995283434145384, 0.995279515044581, 0.9952732270023541, 0.9952735016667401, 0.9952730160428257, 0.9952726558092507, 0.9952707289250061, 0.9952634928610061, 0.9952552502360643, 0.9952507153714771, 0.99524664969672, 0.99524305194377, 0.9952392264474029, 0.9952349392290496, 0.9952306077870317, 0.995226371691351, 0.9952179775833929, 0.9952016273902469, 0.9951880112197957, 0.9951829115347257, 0.9951795472405016, 0.9951728154380965, 0.9951674821508545, 0.9951665688042801, 0.9951655008788667, 0.9951627942254524, 0.9951620721708503, 0.9951587318434589, 0.9951555307227258, 0.9951526618404353, 0.9951491704213385, 0.9951455033600144, 0.995143303405163, 0.9951417291474172, 0.9951406480421754, 0.9951406423721718, 0.9951405210373461, 0.9951370530906319, 0.9951354514769868, 0.9951319496475343, 0.9951271519117626, 0.995121399323627, 0.9951166495088148, 0.9951152774960057, 0.9951150424516269, 0.9951127178927168, 0.9951095947220223, 0.9951053487967458, 0.9951022213963203, 0.9951005154216737, 0.9950946403683405, 0.9950847820442543, 0.995082612429416, 0.9950815520000492, 0.9950743515470086, 0.9950695127466225, 0.9950676056358432, 0.9950622485647602, 0.9950578025448908, 0.9950565852391065, 0.9950548481466333, 0.9950522429662598, 0.9950471985069297, 0.9950451144648276, 0.9950442195560405, 0.9950445931122284, 0.9950443136231997, 0.9950349230267368, 0.9950161511264641, 0.9950138212920494, 0.995007532512735, 0.9950043251747089, 0.9950006813415246, 0.9949977014563023, 0.9949963743321784, 0.9949915901230454, 0.9949806916763577, 0.9949588673875592, 0.9949500446440236, 0.9949450924028393, 0.9949385372133501, 0.9949354867246811, 0.9949331503065157, 0.9949287003010888, 0.9949208840546868, 0.9949208583751945, 0.9949200527979462, 0.9949142034304722, 0.994908920942049, 0.9949064984297137, 0.9949058722715193, 0.9949019163059019, 0.9948957539601961, 0.9948849795643071, 0.9948829530126473, 0.9948744557373685, 0.9948604320544141, 0.9948501083168835, 0.9948434241170419, 0.9948401042921239, 0.9948381527119674, 0.9948332643543742, 0.9948306435270764, 0.9948245431905192, 0.9948174442551002, 0.9948117601607893, 0.9948039228492815, 0.9947809696976254, 0.9947744660414657, 0.9947722190412686, 0.9947649359695966, 0.994761306818267, 0.99475879931751, 0.9947548399248676, 0.9947479878478144, 0.9947436003965786, 0.99473991322229, 0.9947351081633702, 0.9947309448495454, 0.9947277919478955, 0.994724906954056, 0.9947226208717859, 0.9947196949502846, 0.9947157027045137, 0.9947113383156014, 0.9947061855629254, 0.9947027752586235, 0.9946953666033571, 0.9946898018612875, 0.9946868844477286, 0.9946845383880689, 0.9946827634631155, 0.9946802737230573, 0.9946772873849455, 0.9946660128051132, 0.9946562755142918, 0.9946474145023954, 0.994640398722477, 0.994635510762738, 0.9946326307203144, 0.9946291559605409, 0.9946261305995527, 0.9946190798324606, 0.9946131415104231, 0.9946088258421194, 0.9946040122545172, 0.994601972849751, 0.9945985219749154, 0.9945959681028845, 0.9945921758272256, 0.9945884151107349, 0.9945871039615403, 0.9945841034079443, 0.9945744029641774, 0.9945673876435281, 0.9945667413559921, 0.9945648664120155, 0.9945602069240209, 0.9945546156810556, 0.9945467357433189, 0.9945343786266638, 0.9945315274580675, 0.9945286377559218, 0.9945258744669652, 0.9945198945823626, 0.9945133639333117, 0.9945097585875797, 0.9945060227387303, 0.9944980332082085, 0.9944934832686756, 0.994491869253477, 0.994478497280629, 0.9944718304675277, 0.9944683241085611, 0.9944617132396318, 0.9944572643404208, 0.9944524546770376, 0.9944448235484376, 0.9944377064783828, 0.9944333378219931, 0.9944282490618988, 0.9944185300080682, 0.9944137941160638, 0.994411369975655, 0.9944073012444157, 0.9944003546226688, 0.9943937839689159, 0.9943872264836966, 0.9943762976177892, 0.9943692956229038, 0.9943627052084206, 0.9943596139692075, 0.9943588445757481, 0.9943559774896049, 0.9943520378728784, 0.9943497301974414, 0.9943466112074788, 0.9943426741055683, 0.994339131370661, 0.9943359915667954, 0.9943339067583151, 0.9943313307832293, 0.9943186665272735, 0.9942992722332228, 0.9942942186792995, 0.9942918209604541, 0.9942902573069947, 0.9942871341035661, 0.9942852723666753, 0.9942786534335839, 0.9942691087049309, 0.9942634739629889, 0.9942586507031599, 0.9942549174343099, 0.9942519678741991, 0.9942474135762949, 0.9942412285273287, 0.9942367622670792, 0.9942329896924368, 0.9942296004116762, 0.9942234549939135, 0.9942155141546605, 0.9942036122198253, 0.9941926385592654, 0.9941885736830536, 0.9941831190343042, 0.9941732225685522, 0.994167027024552, 0.9941515209782542, 0.9941461117363148, 0.9941347853842539, 0.9941280462090686, 0.994123185221523, 0.994118499645122, 0.9940990397066223, 0.9940894988655405, 0.9940839133948144, 0.9940771638757278, 0.9940718288282183, 0.9940619603247928, 0.9940508707933298, 0.9940375087847035, 0.9940288147483407, 0.9940242351262192, 0.9940137187373229, 0.99400697722381, 0.9939990813763795, 0.9939958211367123, 0.993991588552773, 0.9939819900374771, 0.9939767327759956, 0.993968404929958, 0.9939554341707386, 0.9939444577567912, 0.9939406438771023, 0.9939316516751802, 0.9939114087140195, 0.993900572256996, 0.9938803696006339, 0.993866153253596, 0.9938546047357488, 0.9938298100712011, 0.9938215966263055, 0.9938154286858139, 0.9938076578746662, 0.9938011285789976, 0.993792710927071, 0.9937819953012453, 0.9937664966422026, 0.9937554223279772, 0.9937455266625325, 0.9937443917146307, 0.9937412817592692, 0.9937345457243141, 0.9937319534360485, 0.9937242371530709, 0.9937160532071052, 0.993711777440715, 0.9936997366287883, 0.9936954635928368, 0.9936894404023444, 0.9936870478016488, 0.9936824015109994, 0.9936716941706002, 0.9936604062942416, 0.9936518279724165, 0.9936480719170918, 0.9936368053150669, 0.9936133401665398, 0.993603555852191, 0.9935980617625952, 0.9935909446287846, 0.9935866771465177, 0.9935777875780953, 0.993569183732339, 0.9935660362674218, 0.9935631683410624, 0.9935494486741658, 0.9935392648128353, 0.9935331291697026, 0.9935244253991257, 0.9935141806764582, 0.9935069512733391, 0.9935027231497715, 0.9934916639885212, 0.9934838490312465, 0.9934801719563606, 0.9934767907554238, 0.9934723947505437, 0.9934650990730678, 0.9934497297936429, 0.9934281797108302, 0.993422102792112, 0.9934077914900514, 0.9933972209936399, 0.9933938209882098, 0.9933905047466909, 0.9933874350596176, 0.9933847505396425, 0.9933818162892587, 0.9933777711436735, 0.9933735773258001, 0.9933582892984221, 0.9933511330269662, 0.9933482531891556, 0.9933476299325515, 0.9933422316841809, 0.9933351570379632, 0.9933269340086333, 0.9933219368171133, 0.9933180814805709, 0.9932951725092976, 0.9932894041911166, 0.9932879211099532, 0.9932834760184579, 0.9932708757827982, 0.9932676714476172, 0.9932533293980379, 0.9932481613304294, 0.993240303928883, 0.9932290277959708, 0.9932208183566641, 0.9932142421729219, 0.9932089991006912, 0.9931948912094126, 0.9931745403217862, 0.9931721706200629, 0.9931710425389534, 0.9931628456537729, 0.9931548549328129, 0.9931433437191438, 0.9931303158407478, 0.9931234116835114, 0.9931212322216909, 0.9931171363078355, 0.9931069826676033, 0.993093694314461, 0.9930885217608888, 0.9930876956011414, 0.9930801464891656, 0.9930750458457485, 0.9930710464648314, 0.9930600346759108, 0.9930418044570728, 0.9930323168346993, 0.9930243920105388, 0.9930210264048449, 0.9930153953141807, 0.9930060589910087, 0.9929942863755226, 0.9929809032566339, 0.9929710061814971, 0.992954130033477, 0.9929478940361524, 0.9929417599212361, 0.9929366768928855, 0.992906660989799, 0.9928938982728877, 0.9928840202273306, 0.9928623686476543, 0.9928510328860796, 0.9928397756106663, 0.9928335556697174, 0.9928304206138066, 0.9928184507787776, 0.9927975595131512, 0.9927888623333354, 0.9927848504017991, 0.9927813729235185, 0.9927727434283634, 0.9927607333900623, 0.9927551172047837, 0.9927521935292246, 0.9927468612972501, 0.9927423826767368, 0.9927344913950762, 0.9927224507752357, 0.9927191272016069, 0.9927137119651015, 0.9927037358332734, 0.9926937292474844, 0.9926893228379148, 0.9926828610315728, 0.9926739776367711, 0.9926530559485646, 0.9926236410583864, 0.9926073312228609, 0.992598217284998, 0.9925898820180148, 0.9925824948280939, 0.9925777774467192, 0.9925738297253264, 0.9925692151087011, 0.9925602671586955, 0.9925518352948302, 0.9925417122274132, 0.9925330799905241, 0.9925290012211638, 0.9925195987999865, 0.9924987068724338, 0.9924756581283862, 0.9924606549542259, 0.9924551255770802, 0.9924539329505228, 0.9924495595509374, 0.9924460005022075, 0.9924361804698569, 0.9924283053588029, 0.992415166872177, 0.9924010625131463, 0.9923856006305005, 0.9923750803845146, 0.9923679828099163, 0.9923624725619317, 0.9923599913996664, 0.9923545367876548, 0.9923444301514267, 0.9923375397517888, 0.9923317468945547, 0.9923078930310734, 0.9923005325078359, 0.992286010923731, 0.9922673946947173, 0.9922615786315361, 0.9922570451793331, 0.9922397389362239, 0.9922345517717379, 0.992228390665704, 0.992216697207344, 0.9921965159125415, 0.9921830038607402, 0.9921763280139131, 0.9921680016993987, 0.9921555286934827, 0.9921329141837718, 0.9921234671613405, 0.9921080953464497, 0.9921022253856826, 0.9920961353723419, 0.9920838846774187, 0.992071738169864, 0.9920589439002669, 0.9920554017753731, 0.9920395220498485, 0.992026678165658, 0.9920108264093352, 0.9920013348077327, 0.9919865169627001, 0.9919702702324402, 0.991960685315612, 0.9919426535963767, 0.9919359856604129, 0.9919307710913032, 0.9919259913124256, 0.9919208990214075, 0.9919064545881449, 0.991889662254599, 0.9918570154981148, 0.9918242786567957, 0.9918152366312483, 0.9918034028339437, 0.9917920009745993, 0.9917653572895346, 0.9917464705205341, 0.9917401719753373, 0.991735598123425, 0.9917280938550228, 0.9917168194695294, 0.9917012857217302, 0.9916786837962406, 0.9916660949326355, 0.9916599272327633, 0.9916508344362385, 0.991644250609137, 0.9916397679774129, 0.9916228766508585, 0.9916104095743845, 0.9916033048856631, 0.991590198668445, 0.9915830318592492, 0.9915808520100811, 0.9915775787035501, 0.99157172681603, 0.9915623513310283, 0.991548822659139, 0.991534209470494, 0.9915262111913008, 0.9915210305807003, 0.9915145129039789, 0.9915085838321995, 0.9914992510221526, 0.9914923667815687, 0.9914595720368101, 0.9914484626593147, 0.9914421508537603, 0.9914265171512363, 0.991411351661545, 0.9913970055832926, 0.9913881496512873, 0.991383771439406, 0.991375103488561, 0.9913643808084933, 0.9913403711972051, 0.9913272756495897, 0.9913181428948927, 0.9912900104532794, 0.9912669621613418, 0.9912613355429236, 0.991253946210414, 0.9912471347196764, 0.9912431012087914, 0.9912141751186719, 0.9911997001244799, 0.9911909196884398, 0.9911841868140532, 0.9911739449564403, 0.9911645273372691, 0.9911584281341341, 0.9911532524138903, 0.9911473658941303, 0.991130241134568, 0.991111385148833, 0.9911059349243445, 0.99109801864676, 0.9910869889512495, 0.9910753401430532, 0.9910617876636219, 0.9910254437179394, 0.9909909973264533, 0.9909737760817765, 0.9909663970875948, 0.9909523952500929, 0.9909414619248532, 0.990932690605459, 0.9909258721739856, 0.9909139956563013, 0.990884488304697, 0.9908681967594141, 0.990857448999639, 0.9908444469101092, 0.9908203365821162, 0.9908157004008595, 0.990805840947137, 0.9907973248320732, 0.9907748081937426, 0.9907710381441636, 0.990766796197013, 0.9907425659755938, 0.9907270715996677, 0.9907226768050545, 0.9907147576583382, 0.9907033251530162, 0.9906905964468696, 0.9906789695104538, 0.9906683364888746, 0.9906597789537914, 0.9906506456443478, 0.9906395008458543, 0.9906335059121928, 0.9906178637324428, 0.9905942286044607, 0.9905841025324285, 0.9905718628489497, 0.9905679112173447, 0.9905611080099856, 0.990554299631865, 0.990543241968653, 0.9905317444967773, 0.9905156010604453, 0.9904960596098811, 0.9904859100083563, 0.990476428611327, 0.9904542967900414, 0.9904304067048859, 0.9904161267917626, 0.9904078538463807, 0.9904011491403055, 0.9903900542922899, 0.9903767665933526, 0.9903423432347722, 0.990320441549916, 0.9903102775374286, 0.9902993827550371, 0.9902838322288872, 0.9902680694668267, 0.9902549716763054, 0.9902445093397461, 0.9902364415075262, 0.9902292965854791, 0.9902231235152522, 0.9902154809651649, 0.9902019296791725, 0.9901921873668771, 0.9901750065188831, 0.9901521507112281, 0.9901396500357871, 0.9901250725763964, 0.9901139237977692, 0.9901069517755081, 0.9900907218872266, 0.9900610654490846, 0.9900456978726558, 0.9900302433100411, 0.9900104925940085, 0.989996560833976, 0.9899852082731517, 0.9899687093338626, 0.9899597447776347, 0.9899541797700413, 0.9899496851321027, 0.9899357457686708, 0.9899229023433254, 0.9899107231069637, 0.9899027040405259, 0.9898862957684575, 0.9898767321901111, 0.9898714195272429, 0.9898669262034061, 0.98985956476412, 0.9898455749201556, 0.9898373473088042, 0.9898206814427247, 0.9898164485181701, 0.9898002848094929, 0.9897938586190733, 0.9897782553596679, 0.9897584464723332, 0.9897394728288242, 0.989732789469752, 0.9897152770347211, 0.9896998683078968, 0.9896829055742561, 0.9896614479452059, 0.9896473592305273, 0.989632039226908, 0.9896247339675575, 0.9896195449896242, 0.9896010376295125, 0.9895763451876023, 0.9895474604168653, 0.9895345002870046, 0.9895173751011637, 0.9895084197744322, 0.989490766900571, 0.9894672736838903, 0.9894498229808377, 0.9894324524305922, 0.9894092180456379, 0.9893843406405192, 0.9893726092712765, 0.9893611842339425, 0.9893542667956601, 0.9893468931729794, 0.9893290059087588, 0.9893113566115173, 0.9892929703338382, 0.9892759184763369, 0.9892544514337418, 0.9892457170149294, 0.9892388706714151, 0.9892275336344949, 0.9892025280499479, 0.9891704402099268, 0.9891621587657682, 0.9891558374832381, 0.9891452766921865, 0.9891297148938099, 0.9891198042196746, 0.9891004855867314, 0.9890901212923877, 0.9890760237618412, 0.9890648932126025, 0.9890407822534659, 0.9890215230230538, 0.9890161445350159, 0.9890100661516467, 0.9889997095539658, 0.9889844404927017, 0.9889707436346697, 0.9889461104208079, 0.9889277438800779, 0.9889035495246004, 0.9888741904892681, 0.9888440765179722, 0.9888246165919468, 0.9888117956926037, 0.9887923511837551, 0.9887774673811232, 0.9887595182617227, 0.9887301863120207, 0.9887137108693305, 0.9886974613997201, 0.9886875166057318, 0.9886767554107352, 0.9886653701943706, 0.9886555274421087, 0.9886401204679602, 0.9886247003269747, 0.9885970465337743, 0.9885794884270263, 0.9885633362530337, 0.9885508216957888, 0.988533374868434, 0.9885147622412133, 0.9884918563018119, 0.9884724213642961, 0.9884587453605327, 0.9884438297682683, 0.9884396846722984, 0.9884312071604756, 0.9884190274238777, 0.9883944153365158, 0.9883706933606158, 0.9883576980663804, 0.988346840300055, 0.9883377176146789, 0.9883287463066143, 0.9883206962178246, 0.9883067029617567, 0.9882819802500288, 0.9882651286979692, 0.9882547344864852, 0.9882394280716491, 0.9882273082655708, 0.9882100281505739, 0.988190250259946, 0.9881756349318498, 0.9881633687270849, 0.9881542282650226, 0.9881469753927987, 0.9881409348929558, 0.9881264206486702, 0.9881081002104368, 0.9881045237823372, 0.9880913431984785, 0.9880820716414035, 0.9880693684051294, 0.9880562003008022, 0.9880419232573849, 0.9880246434540763, 0.9880053865046742, 0.987984732248484, 0.9879737817649038, 0.9879615091097417, 0.9879540483960262, 0.9879469514389283, 0.9879376463882708, 0.9879213665150679, 0.9879067554822862, 0.9878868693955336, 0.9878775522134534, 0.9878707769013271, 0.9878527213727555, 0.9878472296808998, 0.987827139584766, 0.9878072272819179, 0.9877960308117357, 0.9877901649639794, 0.9877816306504117, 0.9877660091349008, 0.9877481392646232, 0.9877443155220351, 0.9877388784248553, 0.9877236202739033, 0.9877136751242097, 0.9876814902439346, 0.9876707924306228, 0.9876548820975941, 0.9876383927260945, 0.9876270421853138, 0.9875963025085694, 0.9875866804666089, 0.9875726214594952, 0.9875569364727139, 0.9875458240156806, 0.9875266541473866, 0.9875082021409014, 0.9874837177147581, 0.9874753648545731, 0.9874642197362486, 0.9874467444661099, 0.9874329127283548, 0.9874243235488583, 0.9874183348279896, 0.987408562339601, 0.9873946803772057, 0.9873820475788897, 0.9873643495028628, 0.9873513287609408, 0.9873425306696572, 0.9873309130108879, 0.9873233988081238, 0.9873096501867786, 0.9872978742440461, 0.987286707462333, 0.9872782316993409, 0.9872702839208888, 0.9872538905512767, 0.9872493368648054, 0.9872367159051243, 0.98720737907006, 0.9871876670505317, 0.9871619216954859, 0.9871523774064443, 0.9871414056546634, 0.9871323130528682, 0.9871254893361803, 0.9871024285753196, 0.987080212167571, 0.9870606952404626, 0.9870282544830411, 0.9870098967381377, 0.9869989595837955, 0.9869750702112964, 0.9869508208373577, 0.9869374173313248, 0.9869225500857849, 0.9868977423804601, 0.9868785029615532, 0.9868617905970036, 0.9868529508218372, 0.9868449772731225, 0.986831335467733, 0.9868208154231475, 0.986803314301826, 0.9867780845647166, 0.9867622613996745, 0.9867492071511303, 0.9867364120059487, 0.9867115934409312, 0.9866911977053511, 0.9866701722010484, 0.9866405717798595, 0.9866167827166831, 0.9866079210246606, 0.9865977179936553, 0.9865769015555295, 0.9865530046294873, 0.9865404967404774, 0.9865314106283722, 0.9865255141021526, 0.9865043084189444, 0.9864931082289586, 0.9864713947280455, 0.9864413756708841, 0.9864282458831948, 0.9864158624420745, 0.9863937818884935, 0.9863777541757163, 0.9863649825085856, 0.9863515503765226, 0.9863370913148535, 0.9863193759308492, 0.9862961945392867, 0.9862701252029094, 0.986232428451681, 0.9862096838564668, 0.9862006195907431, 0.9861808210236874, 0.9861627157961549, 0.9861519412513343, 0.986131314409713, 0.9861036985183229, 0.9860691100821026, 0.98602912624107, 0.9860136514963802, 0.9859920780747435, 0.985971422866317, 0.9859636160848824, 0.9859376464457834, 0.9859149071978561, 0.9859002032092272, 0.9858778707255735, 0.9858496361283835, 0.9858054978677052, 0.9857822443070299, 0.9857422299271815, 0.9857229921955329, 0.9857136025510478, 0.9857021643830988, 0.9856816718627952, 0.9856642866453595, 0.9856281381063967, 0.9855987864104568, 0.9855828716279993, 0.9855663018622886, 0.985550782482428, 0.9855359397307621, 0.9855158324574442, 0.9854932367042593, 0.9854687928217004, 0.9854457802542129, 0.9854359819503119, 0.9854259299615726, 0.9854157166144278, 0.9854026481074434, 0.985378170960499, 0.9853626026703249, 0.9853450119875586, 0.9853264670086317, 0.9852961346057323, 0.9852838341074606, 0.9852749319736419, 0.985265277953345, 0.9852543465854193, 0.9852487578832216, 0.9852354083989942, 0.985213378486653, 0.9852001030694327, 0.9851924451756175, 0.9851865779488331, 0.9851786454386222, 0.9851708047658201, 0.9851622245419431, 0.9851469462699863, 0.9851326193550861, 0.9851219248263213, 0.9851027406947098, 0.9850791769435934, 0.9850694588629508, 0.9850615863439107, 0.9850474134384348, 0.9850327324822653, 0.9850162530746664, 0.9850017781090785, 0.9849835546772184, 0.9849620634455587, 0.9849513758618691, 0.9849256697799911, 0.9849008254297412, 0.9848774705532782, 0.9848581101587202, 0.9848237990330361, 0.9848010613136889, 0.9847817900104521, 0.9847688078652536, 0.984735689265894, 0.9847092200582714, 0.9846940891410862, 0.9846786374583254, 0.9846520489442281, 0.9846332404646234, 0.9846210117843776, 0.9845936207435726, 0.9845727174089589, 0.9845530692845628, 0.9845353632370075, 0.9845217385190598, 0.9844998530457031, 0.9844687591707436, 0.9844249562271234, 0.9843911795565481, 0.9843739714743123, 0.9843618483057236, 0.9843536726714482, 0.9843397539443064, 0.9843240145667207, 0.9843117539811996, 0.9843005353102415, 0.9842803650433258, 0.9842512526531719, 0.9842210579147714, 0.9841937708644599, 0.9841840533358714, 0.9841772530911475, 0.984164457191563, 0.9841557098004174, 0.9841387354101196, 0.9841344343790344, 0.9841216343864081, 0.9841113980398885, 0.9840821562176543, 0.9840717077021053, 0.9840686539276562, 0.9840608346442281, 0.984046051725153, 0.9840146179139129, 0.9839949707214125, 0.9839690935036931, 0.9839578711325141, 0.9839424032069257, 0.983916536562363, 0.9838931877376254, 0.9838865079901535, 0.9838728631714233, 0.98386256504491, 0.9838525856971666, 0.9838480766853587, 0.9838365715432513, 0.9838153786237772, 0.9837999776410412, 0.9837907882384405, 0.9837735904032494, 0.9837563670808422, 0.9837393892115279, 0.9837284294755697, 0.9837097350836501, 0.9836933247158768, 0.9836658961291826, 0.9836515890248054, 0.9836287274826641, 0.9835841949054833, 0.9835753768860069, 0.9835701384539408, 0.9835606579095932, 0.9835498454803646, 0.983537692145521, 0.9835301834942812, 0.9835224918937522, 0.9835117583678359, 0.983502877745688, 0.9834781180767342, 0.983459586395783, 0.9834492561260115, 0.9834403108341534, 0.9834367185430228, 0.9834142671543081, 0.9834062373329022, 0.9834027800006793, 0.983379397782719, 0.9833456056952785, 0.9833086202519468, 0.9832988275269927, 0.9832778180352202, 0.9832596570354449, 0.9832361580319292, 0.9832219553303172, 0.9832092325012864, 0.9831994958402539, 0.983180717486885, 0.9831524277310275, 0.9831363130933877, 0.9831125486401231, 0.9830873895208109, 0.9830701699400486, 0.9830603176850168, 0.9830461531679999, 0.983020456770817, 0.9830069155271408, 0.9829983920091612, 0.9829892625273088, 0.9829743447231498, 0.982961093154378, 0.9829455357152015, 0.9829257830302861, 0.9829051634417147, 0.9828922698472271, 0.98287151537648, 0.982852347744167, 0.9828239001953616, 0.9828147018771898, 0.9828005216314858, 0.9827719095804456, 0.9827549464507399, 0.982734411965483, 0.9827148913520583, 0.9826865956773363, 0.9826558510942658, 0.9826331270375475, 0.9826126886559903, 0.9825993098478141, 0.9825878058505048, 0.9825693301176328, 0.982548560384232, 0.9825411361752396, 0.9825274524201382, 0.9825178523428595, 0.9824953899215758, 0.9824707030050965, 0.9824531216669741, 0.9824178521936187, 0.9824091684241429, 0.9824031051155577, 0.9823779040620338, 0.9823607922853066, 0.982348553926154, 0.9823349217797824, 0.9823195809084438, 0.9823039171724288, 0.9822877647900191, 0.9822737270228505, 0.9822539718008578, 0.9822280295882325, 0.9822055555839566, 0.9821913884327778, 0.9821775962556797, 0.9821615593251537, 0.9821540807506336, 0.9821435566072516, 0.9821294422688635, 0.9821169421401744, 0.9820901825430677, 0.9820700294295029, 0.9820520224781127, 0.9820327367986162, 0.9820169256575941, 0.9819909793770567, 0.9819576849929073, 0.9819423700581378, 0.9819225699528195, 0.9819041237548474, 0.9818876332674089, 0.9818775334227918, 0.9818636813763275, 0.9818467880825495, 0.9818299679047292, 0.9818129787843257, 0.9817895459861312, 0.9817693303255539, 0.9817528268230231, 0.9817217693845393, 0.9816909442026134, 0.9816569817016672, 0.9816370807045273, 0.9816155009595562, 0.9815997998257736, 0.981577261280062, 0.9815609152839468, 0.9815457945728854, 0.9815267792872164, 0.9815149745195577, 0.9815044958085875, 0.9814934467313191, 0.9814871735497351, 0.981477394224977, 0.9814627939845202, 0.9814412012747982, 0.9814202499909537, 0.9814092725129593, 0.9813948185196252, 0.9813696625714454, 0.9813491859722066, 0.9813377270795802, 0.9813182162648624, 0.9812992205197972, 0.9812831414210961, 0.981263498783204, 0.9812443001959439, 0.9812286571732567, 0.9812080500732897, 0.9811895769346324, 0.9811812489048506, 0.9811602265738282, 0.9811536376436556, 0.9811254704762343, 0.9810973945827164, 0.9810717980478154, 0.9810641462971637, 0.9810459243395239, 0.9810057717594319, 0.9809792308130484, 0.9809430987782892, 0.980929221295405, 0.9809142990627977, 0.9809025686800564, 0.9808795320917036, 0.9808539974473547, 0.9808447231623318, 0.9808164869291776, 0.9807809306906836, 0.9807514182586734, 0.980732693813599, 0.9807160574038425, 0.9806817138935988, 0.9806521530132057, 0.980618536854083, 0.9805951992542838, 0.9805709489069802, 0.9805576828707837, 0.9805386792916717, 0.9805169715672053, 0.9804994571749179, 0.9804800003826591, 0.9804628444348746, 0.980445552372265, 0.9804205763817961, 0.9803949527153994, 0.9803600864268114, 0.9803282375502609, 0.980299609091901, 0.9802807950797439, 0.9802726948680671, 0.9802618938783053, 0.98024586152293, 0.980231394605128, 0.9802131544270628, 0.9801978787808521, 0.9801782688359044, 0.9801648823432964, 0.9801524818440692, 0.9801276855736932, 0.9800984865433482, 0.9800753757681444, 0.9800638079195432, 0.9800496989152465, 0.980032211157932, 0.9800139727295601, 0.9799966243258194, 0.9799796981980415, 0.9799632971084, 0.9799526776781873, 0.979924291704948, 0.97991111464305, 0.9798976887293827, 0.9798727480916868, 0.9798543840466254, 0.9798453382316323, 0.9798255455669556, 0.9798048488316321, 0.9797931526119861, 0.9797680757459886, 0.9797543416235452, 0.9797369750843393, 0.9797145899330245, 0.9797036319259345, 0.9796808073189212, 0.9796730919567482, 0.9796585302042324, 0.9796413961456996, 0.9796233409152766, 0.9796046778944114, 0.9795860476057467, 0.9795663093767061, 0.9795421472394445, 0.9795147007937419, 0.9794907248570481, 0.9794611719067923, 0.9794298592253469, 0.9794068281437801, 0.9794002377931013, 0.97939350355511, 0.9793740140035685, 0.979358911113035, 0.9793324600789353, 0.9792885935604738, 0.9792601662784477, 0.9792445428640854, 0.9792343376633237, 0.9792088686927112, 0.9791945695399462, 0.9791796014660202, 0.9791449348941228, 0.9791370241259525, 0.9791272970451169, 0.9791178770035913, 0.9791038353570976, 0.9790847610564873, 0.979076380097288, 0.979060128134576, 0.9790177942119803, 0.978999409407751, 0.9789749722006614, 0.9789667300034852, 0.978939298611357, 0.9789303813290346, 0.9789123544099969, 0.9788933936111199, 0.9788835874946327, 0.9788732486158342, 0.9788613372085213, 0.9788444700263643, 0.9788291820653967, 0.9788181497619284, 0.9788032083292222, 0.9787879081166273, 0.9787683057045464, 0.9787526198639851, 0.9787354361628946, 0.9787163455779745, 0.9787057162178496, 0.9786923957227449, 0.9786701715646644, 0.9786559014900178, 0.9786395891144614, 0.9786203787612162, 0.9786041015475822, 0.9785812534640963, 0.9785657153232825, 0.978536580330284, 0.9785147637383133, 0.9784940210387676, 0.978477775485495, 0.9784623924515193, 0.9784266159374727, 0.9784079126765861, 0.9783902702326802, 0.9783718295320056, 0.9783487673295754, 0.9783266761968528, 0.9783134817991688, 0.9783014990400034, 0.9782891656018615, 0.9782799470842176, 0.9782638271715995, 0.9782357832869117, 0.9782085003293814, 0.9781884268254011, 0.9781742494646344, 0.9781566419723027, 0.9781387895846, 0.9781274273072698, 0.9781161515869773, 0.9781032229365658, 0.9780803710323529, 0.9780543438105576, 0.9780276700437066, 0.9780068557587354, 0.977975693837247, 0.9779576723634301, 0.9779355930629439, 0.9779207480134945, 0.9778964953878697, 0.9778740510889157, 0.9778607455969743, 0.9778440661600799, 0.977820289137431, 0.9777993890021563, 0.9777783131870688, 0.9777612059146759, 0.9777497583927809, 0.9777238681602276, 0.9777107598131182, 0.9776952100845876, 0.9776813733525893, 0.9776686758909257, 0.9776523156555134, 0.9776295699565622, 0.9776072814668945, 0.9775957286768628, 0.9775809920055634, 0.9775638125230255, 0.9775397151409515, 0.9775274511197023, 0.9775149560032121, 0.9774914304870881, 0.9774703092525441, 0.9774506442226056, 0.9774330453751032, 0.9774193362544901, 0.9774047734201299, 0.9773871789127319, 0.9773681501676967, 0.9773601515397633, 0.9773387616703029, 0.9773234439274432, 0.9773144484777059, 0.9773031918947801, 0.9772746505701091, 0.9772616493837483, 0.9772445290675109, 0.9772348874675428, 0.9772286827631815, 0.9772157524918352, 0.9771957700658345, 0.9771846514181182, 0.977157083620295, 0.9771406652366128, 0.9771281943037962, 0.9771071991969451, 0.9770967158711341, 0.9770797052896847, 0.9770699266634227, 0.9770526244856118, 0.9770335717673481, 0.9770111906106358, 0.9769804686245491, 0.9769509452295799, 0.9769346757478645, 0.9769217231981315, 0.9769073672816523, 0.9768890381009374, 0.9768765033856814, 0.976863186375578, 0.9768507338828873, 0.9768336413711434, 0.9768197642910401, 0.9768058711438159, 0.9767877340891876, 0.9767668274187638, 0.976752236777309, 0.9767330272160357, 0.9767128540992218, 0.9766953150908335, 0.9766833662372315, 0.9766784224877403, 0.9766697076119069, 0.9766591555875288, 0.9766426219866009, 0.976628205881052, 0.9766110252293927, 0.9765830123460607, 0.9765678093658534, 0.9765476987150714, 0.9765248352236172, 0.97651691846965, 0.976504328481776, 0.9764899860271863, 0.9764796988996657, 0.976470300358073, 0.9764640049376607, 0.9764504893100263, 0.9764319026337864, 0.9764231351185513, 0.9764077313546695, 0.9763832633303751, 0.9763687872948783, 0.9763596590426981, 0.9763553407325716, 0.9763495955370195, 0.9763372705459601, 0.9763289856404562, 0.9763216878615845, 0.976315176299698, 0.9763090728145811, 0.9762808029129229, 0.976259612902371, 0.9762528504962438, 0.9762419541339236, 0.9762236579387762, 0.9762031443167823, 0.9761776102189104, 0.9761678075945093, 0.9761540995185631, 0.9761438433634477, 0.9761341112746097, 0.9761305172933628, 0.9761228892507463, 0.9761115578099958, 0.9760935949522668, 0.9760726889239515, 0.9760615332594296, 0.9760500103300366, 0.9760375427131247, 0.9760221209404499, 0.976008456162925, 0.9759880964322918, 0.9759734378971077, 0.9759656473134253, 0.9759485395286402, 0.9759337901878697, 0.9759211726246322, 0.9759008893272743, 0.9758785447639803, 0.9758628301096081, 0.9758294732468226, 0.9758121113494866, 0.9758043270285675, 0.9757865920621426, 0.9757657526607344, 0.9757371213415584, 0.9757172878626292, 0.9756984058248757, 0.9756751728541098, 0.9756534389003906, 0.9756322146409871, 0.9756223613834735, 0.9756131131865586, 0.975597144232232, 0.9755801719433428, 0.9755547298007332, 0.9755293063312725, 0.9755071332774085, 0.9754946045534945, 0.9754819702512127, 0.9754542772278045, 0.975430263118549, 0.9753979476771537, 0.9753688325588681, 0.9753543984726919, 0.9753342814305319, 0.9753105324543199, 0.9752951227344644, 0.9752707597107801, 0.975236394981961, 0.9752113671763191, 0.9751932413377314, 0.9751844257874487, 0.9751727475044512, 0.9751526705292293, 0.9751287997737085, 0.9751092541261472, 0.9750844360751848, 0.9750587771105708, 0.9750424208197792, 0.9750102024266205, 0.974987516942763, 0.974974050153064, 0.9749679324642644, 0.9749467781420602, 0.9749336168635137, 0.9749223412261432, 0.9748875028233935, 0.974853761328967, 0.9748294421746659, 0.9748151964934134, 0.9747983170523035, 0.9747752738748741, 0.9747386958548463, 0.9747069827820778, 0.9746884604319216, 0.9746721690026297, 0.9746523991012556, 0.9746214051777441, 0.9745905933919587, 0.9745661431944828, 0.9745471280556486, 0.9745262922151618, 0.9745026655725952, 0.9744847067505813, 0.9744625572570762, 0.974441130800225, 0.9744218700956322, 0.9744004823641342, 0.9743739922582234, 0.9743461972216736, 0.97432861358007, 0.9743103363697971, 0.9742904831766594, 0.9742764100539252, 0.9742632561893607, 0.9742418350570092, 0.9742232826009385, 0.9742043655258343, 0.9741820177074872, 0.9741704347270738, 0.97416072243688, 0.974139646945829, 0.9741117984127238, 0.9740866809183262, 0.9740622684789628, 0.9740386982934816, 0.974018930818596, 0.9740029878319298, 0.9739741441996841, 0.9739573453440916, 0.9739342263922575, 0.9739150652846753, 0.9738927589748441, 0.9738729688154009, 0.9738534187480012, 0.9738374458154391, 0.9738100606030528, 0.9737948354695629, 0.9737668909412925, 0.973740613205001, 0.9736855320603093, 0.9736614687164378, 0.9736447694073245, 0.9736295733148994, 0.9736142940691783, 0.9735909617496116, 0.9735736622551618, 0.9735529036676651, 0.9735401719049259, 0.9735262329011611, 0.9735064551373943, 0.9734886882330488, 0.9734718168652872, 0.973447341747478, 0.9734143515795766, 0.9733981896093707, 0.9733837239615467, 0.97337465716823, 0.9733534415261189, 0.9733448134703075, 0.9733199132158028, 0.9733022870897567, 0.9732904068872912, 0.9732654345695817, 0.9732226873261663, 0.9731934918608309, 0.9731764581279536, 0.9731631061090558, 0.973138429173249, 0.9731133942847978, 0.9730856481593628, 0.9730636840762295, 0.9730476899175895, 0.973023260808481, 0.973002825488889, 0.9729834348629477, 0.9729598707098525, 0.9729389620161899, 0.9729200889771306, 0.9729028784845759, 0.9728725985696431, 0.972839086449381, 0.9728045159472949, 0.9727720722702322, 0.9727505531047, 0.9727298563607404, 0.9727093291654836, 0.9726888424443136, 0.97265722427441, 0.9726337493719958, 0.9726195753585806, 0.9726004551868421, 0.9725770736680759, 0.9725500955693087, 0.9725133404959974, 0.9724883845736993, 0.9724649336186246, 0.9724469774148472, 0.9724342372816149, 0.972424572599472, 0.9723984099440304, 0.9723639339386279, 0.9723461859876888, 0.9723292532380392, 0.9723115924695184, 0.9722919124432587, 0.9722679742513518, 0.9722487616247886, 0.9722240550518031, 0.972196235592768, 0.9721698867131391, 0.9721469990655146, 0.972107212498916, 0.9720808106487007, 0.9720644010116231, 0.9720458452264173, 0.9720293372838602, 0.9719979976627038, 0.9719586743332919, 0.9719321592829374, 0.9719152138258782, 0.9718997920547431, 0.9718842582551231, 0.971864234283832, 0.9718457423715678, 0.9718296631178682, 0.9718043341959023, 0.9717776890048399, 0.971759661293419, 0.9717382259147813, 0.9717010745288568, 0.9716684600726724, 0.971652407561163, 0.9716367355984504, 0.971620637319548, 0.971602563413128, 0.9715884529302697, 0.9715696592862677, 0.9715490069341867, 0.971520939169296, 0.9714891998981325, 0.9714667264501948, 0.9714480932479896, 0.9714324082045533, 0.9714085585532177, 0.9713856577932103, 0.9713440235806786, 0.9713235706414913, 0.9713016489740407, 0.9712908531520161, 0.9712772189716963, 0.971266510822704, 0.9712415068007905, 0.9712174470418087, 0.9711909047025358, 0.9711601297438417, 0.9711339933717658, 0.9711129308585207, 0.9710903484772917, 0.9710752589609004, 0.9710626629170283, 0.9710476326582397, 0.9710357406187564, 0.9710140177911825, 0.9710030800673766, 0.9709708416736512, 0.9709552843452951, 0.9709373454182376, 0.9709146787931549, 0.9708909190874168, 0.970866008296543, 0.9708348203065258, 0.9707978138940585, 0.9707719669534245, 0.970751814022726, 0.9707233542402711, 0.9707005365230225, 0.9706847075514962, 0.9706754126842034, 0.9706454943861269, 0.9706193768876101, 0.9705964795583379, 0.9705628359634105, 0.9705240715468899, 0.9704914172564929, 0.9704541398569897, 0.9704313994235534, 0.9704156067162577, 0.9703942958726635, 0.9703720566624188, 0.9703544870428125, 0.9703375711525879, 0.9703184307188943, 0.9702937029205303, 0.9702749360513588, 0.9702568458221372, 0.9702278809103825, 0.9702068363272935, 0.9701717056430383, 0.9701400100943108, 0.9701295700938194, 0.9701154921409765, 0.9700893068531335, 0.9700669145051055, 0.9700374264160929, 0.9700038974447187, 0.9699721986931293, 0.9699586033312895, 0.9699345853724508, 0.9698977025943302, 0.9698832180544439, 0.969867045663311, 0.9698483768351045, 0.9698241659529668, 0.9697994314161119, 0.969771716632873, 0.9697520497356844, 0.9697368005667343, 0.9697135881264682, 0.969686677377055, 0.9696709041236848, 0.9696545547943856, 0.9696257914108317, 0.9695905478028952, 0.9695607710349019, 0.9695328900348466, 0.9695053466733581, 0.9694774203217706, 0.9694503757188175, 0.9694166222022655, 0.9693764347233401, 0.9693472217003798, 0.9693299496907211, 0.9693128085994839, 0.9692933744580613, 0.9692749377846432, 0.9692599467528245, 0.9692440657836818, 0.969219416037779, 0.9692023440963654, 0.969177112875987, 0.9691427234922322, 0.9691129008547887, 0.9690928793875768, 0.9690687823332343, 0.9690279436720806, 0.9689928260948419, 0.968966732192106, 0.9689398953422945, 0.9689095483837455, 0.9688750102699588, 0.9688573267874938, 0.9688522222189797, 0.9688322760318839, 0.9688039713726564, 0.9687778645314347, 0.9687523465278995, 0.9687326970077894, 0.9687133742585701, 0.9686933260536016, 0.9686744776054079, 0.9686532529713638, 0.9686347764568735, 0.9686108167560588, 0.968588539248717, 0.9685604385851883, 0.9685268850791002, 0.9684943614029413, 0.9684673711040025, 0.9684388715037213, 0.9683999521091835, 0.9683707812820839, 0.9683518616903073, 0.9683345671316956, 0.968310216820448, 0.9682808746124992, 0.9682546557127751, 0.9682223634795118, 0.9681804817724922, 0.9681424147255575, 0.9681112874460531, 0.9680810765121355, 0.9680622089090101, 0.9680487371266269, 0.9680235540447331, 0.9680065839744305, 0.967970925842742, 0.9679281574337222, 0.9679011489648139, 0.9678758860179284, 0.9678493136058965, 0.967819394276524, 0.9677776196794649, 0.967755505059005, 0.9677267856512197, 0.9676984324837774, 0.967672827154919, 0.9676523451659096, 0.9676314372310021, 0.9676134595862931, 0.9675799926960029, 0.9675529395322364, 0.9675312616334033, 0.9675024023182759, 0.9674724989423371, 0.9674464314390808, 0.967425438008563, 0.9673985851476712, 0.9673710964296085, 0.9673506262889704, 0.9673315997583462, 0.9673130858524204, 0.9672996432450682, 0.9672800451678558, 0.9672565397225914, 0.9672336434914072, 0.9672099923992451, 0.967186469088875, 0.9671576680987503, 0.9671409380044859, 0.9671215541757676, 0.9670898962528305, 0.9670574725145207, 0.9670343298119397, 0.9670123772022876, 0.9669951969760165, 0.9669690374692442, 0.9669401639379427, 0.9669192154330909, 0.9669036848574492, 0.9668796151782031, 0.9668541129086509, 0.9668079682613322, 0.9667696609654692, 0.9667456167843878, 0.9667308047245733, 0.9667030183277503, 0.9666779409471395, 0.9666559599024234, 0.9666189913730818, 0.9665992317760527, 0.9665870209484843, 0.9665677441737396, 0.9665412824951052, 0.9665094345433115, 0.9664730230869902, 0.9664460676711787, 0.9664250253986122, 0.9663968356298769, 0.9663630427324339, 0.9663260511084215, 0.9662970817604435, 0.966272075894322, 0.9662540723703603, 0.966226272280722, 0.9661914621370778, 0.9661631888022493, 0.9661316653776982, 0.9661042225046899, 0.9660717155497563, 0.9660448929501261, 0.9660239355456394, 0.9660024472875275, 0.965963775179808, 0.9659258894283265, 0.9659070816371875, 0.9658828863807281, 0.9658329246702243, 0.9657991122837175, 0.9657733889269107, 0.9657529641899403, 0.9657253925329429, 0.9657118529666027, 0.9656795845175585, 0.9656348449694409, 0.9656121302438123, 0.9655691757787066, 0.9655408597006003, 0.9655114561986948, 0.9654788394624501, 0.96544247092138, 0.9654159442889205, 0.9653963304643332, 0.9653559628667259, 0.9653410709379695, 0.9653102532825035, 0.9652760559202556, 0.9652533025375307, 0.9652319849841229, 0.9652167283281053, 0.9651760335019288, 0.9651480084248505, 0.9651155444959265, 0.9650901045596334, 0.965057025885834, 0.9650212261097602, 0.964992412658644, 0.9649608020149643, 0.9649299346164502, 0.9649012072742885, 0.9648770805627085, 0.9648544643622761, 0.9648338105322537, 0.9648157683059322, 0.9647955952999623, 0.9647688606619349, 0.964740772124661, 0.9647083912364615, 0.9646706404024503, 0.9646406483685706, 0.9646070126660313, 0.964580010457236, 0.9645533771360338, 0.9645167975822713, 0.9644785342739097, 0.96443001036126, 0.9644079741530269, 0.9643826006388692, 0.9643464448606862, 0.9643132699000838, 0.964273747142681, 0.964252159361276, 0.9642216038098445, 0.9641869465570572, 0.9641583932673778, 0.964128721944298, 0.9640858286941056, 0.9640457888673664, 0.9640157074465926, 0.9639886132063492, 0.9639595400403624, 0.9639389132605174, 0.9639162190021574, 0.9639010807281978, 0.963878388205506, 0.9638274820991217, 0.963804708654231, 0.9637802019509436, 0.9637554030668631, 0.9637284536091723, 0.9636994360489968, 0.9636654968803093, 0.963640164603824, 0.9636073279694564, 0.9635635657144069, 0.9635321051814179, 0.9634834720063874, 0.9634513534681659, 0.9634223367991293, 0.9633906238378499, 0.9633501263839923, 0.9633179360838974, 0.9632912784324538, 0.9632539922688196, 0.9632162764140656, 0.9631943246306838, 0.9631630153479731, 0.9631233306687322, 0.9630979280457189, 0.9630619633734399, 0.9630255795933165, 0.9629927589514942, 0.9629614335694963, 0.9629277227901015, 0.9629016653640926, 0.9628629894318257, 0.9628375082750822, 0.9628087458008658, 0.9627762045900585, 0.9627428768364765, 0.9627023358423485, 0.9626742313782698, 0.9626515229818411, 0.9626201958255982, 0.9625905519575718, 0.9625697021000386, 0.962549492437772, 0.9625164024225364, 0.9624784953958728, 0.9624376199186784, 0.9623962295417701, 0.9623634129133114, 0.9623362662494372, 0.9623102752744677, 0.9622731464690655, 0.9622405955146922, 0.9622111421150706, 0.962182785253898, 0.962145246891632, 0.9620999888397401, 0.9620649336435807, 0.9620353906908119, 0.9620079755215948, 0.9619826993234392, 0.9619494045212165, 0.9619187074183448, 0.9618885135919284, 0.9618590983077737, 0.9618174206539692, 0.9617784044982705, 0.9617352396867351, 0.9617009547619648, 0.9616743313722254, 0.9616344576647258, 0.961594135330162, 0.9615719358294846, 0.961536935768545, 0.961502731585753, 0.9614780699534144, 0.961435933273847, 0.9614077117985693, 0.9613827774067247, 0.9613445132056722, 0.9613109378928522, 0.9612951805340986, 0.9612669206603937, 0.9612412610465788, 0.9612122992986584, 0.9611843009241952, 0.9611487370782028, 0.9611112210312622, 0.9610763394130175, 0.9610457072110511, 0.96101580328118, 0.9609885715508584, 0.960960028430585, 0.9609359034500017, 0.9609115913587615, 0.9608794980768881, 0.9608500297196583, 0.9608175750725176, 0.9607782060791202, 0.960736832747145, 0.9607018168969437, 0.9606771831326566, 0.9606489362228353, 0.9606170212846681, 0.960591633081312, 0.9605708560067715, 0.9605431015025994, 0.960513421356592, 0.9604790568514875, 0.9604314506098233, 0.9604082524596328, 0.9603699195659949, 0.9603261897730604, 0.9602556476813143, 0.9602224036713878, 0.9601960701136126, 0.9601602793481132, 0.9601172504851624, 0.960082293028962, 0.9600349245215996, 0.9599966638559754, 0.9599539842186162, 0.9599121176106065, 0.959864218949406, 0.9598458460404402, 0.9598217212863691, 0.9597934394770786, 0.9597556400883267, 0.9597219703317068, 0.9596799299447623, 0.9596279170225519, 0.9595792270845634, 0.9595442738595014, 0.9595261530427895, 0.9595006671602206, 0.9594615660685095, 0.9594316704772693, 0.9593964111348712, 0.9593615824818631, 0.9593274988547256, 0.9592902480603791, 0.9592612702082222, 0.9592275017259964, 0.959199168689886, 0.9591755615996, 0.9591472773746812, 0.9591069051932892, 0.9590663597709406, 0.9590281740047386, 0.9590006351046937, 0.958972284725436, 0.9589305739126394, 0.9589048541480126, 0.9588778801015744, 0.9588408328174505, 0.9588020270832067, 0.9587730831244315, 0.9587285967945726, 0.9586986375751041, 0.9586553597504803, 0.9586386643815248, 0.9586052980742208, 0.9585763010992527, 0.9585395854524378, 0.9584891034175178, 0.9584448426533332, 0.9584096392219921, 0.958372293833698, 0.9583229707175026, 0.9582921442356105, 0.958252646758918, 0.9582032589058993, 0.9581646310845422, 0.9581224989806296, 0.9580820871886268, 0.9580320738387129, 0.9579889740293608, 0.9579376885294905, 0.9578903212100067, 0.9578634773806427, 0.9578383633700539, 0.9577802200331926, 0.9577413827426831, 0.9576994986154538, 0.9576602925455341, 0.9576270097694646, 0.9575952689463361, 0.9575354487109662, 0.9574909635319366, 0.9574376139044624, 0.9573763636319707, 0.9573408525193225, 0.9573002929219308, 0.9572725771684101, 0.9572326460892255, 0.9571917173878622, 0.9571393921340732, 0.9571054311752984, 0.9570828691651448, 0.9570432866404526, 0.9569993429839698, 0.9569636293198855, 0.9569358330959477, 0.9568967333557646, 0.9568567091203795, 0.9568043572525604, 0.9567677443222022, 0.9567386962282033, 0.9566868194978639, 0.9566476997314333, 0.9566087738006638, 0.9565748956521685, 0.9565291743721483, 0.9564856166052574, 0.9564341354029072, 0.9563735160678148, 0.9563381469839769, 0.9562837163384708, 0.9562246031486079, 0.9561884816564874, 0.9561573785743266, 0.9561191326519162, 0.9560800271784025, 0.9560306244428776, 0.95599177466617, 0.9559576993009494, 0.9559330662654799, 0.9558924117260479, 0.9558413214421653, 0.955806507622899, 0.95577076624243, 0.9557304129016435, 0.9556786686656575, 0.9556356590675281, 0.9555920083306135, 0.9555593179545944, 0.955509393851212, 0.955466786207193, 0.95542750763455, 0.95540421730955, 0.9553706004422656, 0.9553331736324353, 0.9552797202974752, 0.9552380056480876, 0.9552072105170206, 0.9551735175868499, 0.9551230482184677, 0.9550785606063359, 0.9550323442179369, 0.9549790132102604, 0.954917482482226, 0.9548749775063319, 0.9548470557149493, 0.9547988320588925, 0.9547488008975774, 0.9546934404444642, 0.9546521313494359, 0.9546170021068792, 0.9545710687406379, 0.9545290559744586, 0.9544790420484184, 0.9544456387317011, 0.9543891439245621, 0.9543485517943853, 0.9543222313815298, 0.9542758546911261, 0.9542382852497573, 0.9541872874913557, 0.9541502246520583, 0.954100582653832, 0.9540531706317565, 0.9540135685522313, 0.9539638543240612, 0.953922341650616, 0.9538852805259458, 0.953839404275088, 0.9538061633827595, 0.9537674938299907, 0.953725847087656, 0.9536686911469234, 0.9536366624645305, 0.9535994679268042, 0.953535164629699, 0.9534771193769276, 0.953430810201519, 0.9533899210491859, 0.9533546836488482, 0.9533065641498837, 0.9532565102438042, 0.9531879552224314, 0.9531493399349664, 0.953109074803647, 0.9530446687226435, 0.9530046184920824, 0.9529641008998634, 0.9529027084177988, 0.9528612321816017, 0.9528229877812157, 0.9527851285536034, 0.9527328777829456, 0.9526734528089018, 0.9526216095487137, 0.9525650631971241, 0.952529594336008, 0.9524698685186841, 0.9524341913364677, 0.9523837521150604, 0.9523375110402581, 0.9523016977916393, 0.9522504724480282, 0.9521981669291663, 0.9521469329726029, 0.9520994132459106, 0.9520528802269295, 0.9520056541434061, 0.951961839126144, 0.9519154295776654, 0.9518661712571929, 0.9518095126015387, 0.9517691231723429, 0.9517216225846683, 0.951658555132625, 0.9515943398685368, 0.9515530525687026, 0.9515049201265258, 0.9514597496044819, 0.9514110102414728, 0.9513586164227228, 0.9512890964149088, 0.9512165833291066, 0.9511475793950287, 0.9510930066788598, 0.9510314437456848, 0.9509747572095829, 0.9509219300465432, 0.9508700635202658, 0.9508205204144171, 0.9507671456071998, 0.9507126579268093, 0.9506578629767437, 0.9506098818724632, 0.9505548616697725, 0.9505121030941788, 0.9504628500674601, 0.9504207746485609, 0.9503905654624185, 0.9503274761425735, 0.9502834099771189, 0.95024490204595, 0.950197950600972, 0.9501182989708516, 0.950075385259562, 0.9500327249123813, 0.9499736804725196, 0.9499264934526216, 0.9498668379883263, 0.9498047828118379, 0.9497619442886391, 0.9497243929487649, 0.9496780828878586, 0.9496264547248096, 0.9495780654108043, 0.9495395431664405, 0.9494820483934878, 0.9494283505578469, 0.9493615494040119, 0.9492971170679164, 0.9492499932596445, 0.9492068287618004, 0.9491330971102785, 0.9490490289378132, 0.9489834392549786, 0.9489332598096052, 0.9488563704483883, 0.9488019103204732, 0.9487436562615589, 0.9486789743145869, 0.9486053637783592, 0.9485522001893613, 0.9485053099968317, 0.9484610335694166, 0.9484155074627368, 0.9483741104767683, 0.9483237744019594, 0.9482612669525968, 0.9482016023949853, 0.9481415405393112, 0.9480865465530202, 0.9480431189355891, 0.9480007119386217, 0.947947826638006, 0.9478734641612085, 0.9478086794602057, 0.9477559591619612, 0.9476945291955525, 0.9476399103869622, 0.9475993046476077, 0.9475658623667668, 0.9475226781560239, 0.9474651003846406, 0.9474204350824842, 0.9473901650525891, 0.9473479632171745, 0.9472853498692891, 0.9472300569617284, 0.9471702377104174, 0.947108259698878, 0.9470445848984692, 0.9469858771904998, 0.9469358644761877, 0.946881324648303, 0.9468371931509538, 0.9467948107156623, 0.9467437374920784, 0.9466871851322249, 0.9466288129290497, 0.946555000108583, 0.9464958596863383, 0.9464334695215253, 0.9463870028598791, 0.946317149923888, 0.9462592324773573, 0.9461834092604715, 0.946126553166623, 0.9460658843875587, 0.9460177236363517, 0.9459677564919124, 0.945895166347418, 0.9458528875283929, 0.9458021096002729, 0.9457469742738213, 0.9456913374065856, 0.9456402410967709, 0.9455914855267633, 0.945525660136503, 0.9454690978908954, 0.9454080827993141, 0.9453424659151426, 0.9452951081273193, 0.9452425831806699, 0.9451923814939114, 0.945135584618432, 0.9450658291457976, 0.9449988130544139, 0.9449355161977637, 0.944867039200266, 0.9448109570673378, 0.9447554869682172, 0.9447151812249397, 0.9446716303908334, 0.9446434961099002, 0.9445722093304783, 0.9445150386620418, 0.9444551936490158, 0.944399927751649, 0.9443415088001155, 0.9442540896141993, 0.9441810206196526, 0.9441330925558349, 0.9440761206374771, 0.944009885680275, 0.9439540408075533, 0.9439036967611754, 0.9438448766301626, 0.943798526489092, 0.9437237081041965, 0.9436464221773815, 0.9435851718479853, 0.9435210953488118, 0.9434516012266823, 0.9433856808189469, 0.9433325454638097, 0.9432934988726338, 0.9432532779935285, 0.9431944351973112, 0.9431319491762773, 0.943076925517729, 0.9430096774015257, 0.942944762190456, 0.9428723295697503, 0.9428106050508397, 0.9427244534082395, 0.9426263118057189, 0.9425660233896566, 0.9424833155546489, 0.9424031785778471, 0.9423243599732347, 0.9422310309210249, 0.9421624182062432, 0.9420979615159637, 0.9420382779700872, 0.9419872156119959, 0.9419324109267275, 0.9418538311909876, 0.9417747809542034, 0.9416898943701237, 0.9416100292442816, 0.9415349695221175, 0.9414873831945043, 0.9414337967038728, 0.9413576085958968, 0.9412825799625997, 0.9412282488715842, 0.9411436234733609, 0.9410772640063793, 0.9410177470537894, 0.9409702931336347, 0.9409156082393506, 0.9408551358779724, 0.9407746039334308, 0.9406919472926555, 0.9406158803852588, 0.9405200463241605, 0.9404378152480841, 0.9403723790055695, 0.9402941343681397, 0.9402152798645301, 0.9401433543293387, 0.9400433455546786, 0.9399645762834948, 0.939895488292521, 0.9397942634293401, 0.9397339262865516, 0.9396694242644281, 0.9396071981445753, 0.9395253027985729, 0.939469821926691, 0.9394168711763474, 0.9393622532998263, 0.9392987572196544, 0.9392426533837503, 0.9391747352970017, 0.939104374730864, 0.9390201540238179, 0.9389551761970765, 0.9388872645567066, 0.9387962468058209, 0.9386966954890912, 0.9386115474956812, 0.9385376359509137, 0.9384588382912855, 0.9383870645018837, 0.9383139528705218, 0.9382530667857899, 0.9381886435585244, 0.9381166619894796, 0.9380359959010538, 0.9379565691911245, 0.9378779958247305, 0.937802463670841, 0.9377400238345965, 0.9376759952944278, 0.9375905515307482, 0.9375017479071914, 0.9374340623382931, 0.9373779263122421, 0.9373252899280556, 0.9372671262525325, 0.937194585038426, 0.9371137959409257, 0.9370196980094562, 0.9369166058055497, 0.9368220523389399, 0.9367325856296301, 0.9366606386044101, 0.9366004255308081, 0.936543606354687, 0.9364554156268557, 0.9363619546104086, 0.9362771274059577, 0.9362022787264114, 0.9361288265552155, 0.9360494790822871, 0.9359827142020565, 0.9359276938798027, 0.935866272427054, 0.9358048257347404, 0.9357528136385936, 0.9356956173897546, 0.9356200030286448, 0.9355374824210163, 0.9354549238883841, 0.9353766385820326, 0.9353017517740889, 0.9352134584607564, 0.9351169906212458, 0.9350575077594401, 0.934991699236393, 0.934917501766093, 0.9348295953957253, 0.9347645955889281, 0.9347102276910073, 0.9346346411500814, 0.9345449461985071, 0.9344455792321846, 0.9343607800795364, 0.9342919439244508, 0.9342078977366199, 0.9341335604444774, 0.9340579606887186, 0.9339793051341632, 0.9339128351947212, 0.933842733589515, 0.9337830804154345, 0.9337011525900267, 0.9336179231305755, 0.9335364402207835, 0.9334505172526415, 0.9333764820171271, 0.9333049131321214, 0.9332206944248151, 0.9331423354929704, 0.9330631121526174, 0.9329693625192502, 0.9329166992723236, 0.9328370724580212, 0.9327474542116243, 0.9326813494045053, 0.9326103170879947, 0.9325237255830996, 0.9324445008107193, 0.9323689111798168, 0.9322945220836911, 0.9322224492117241, 0.9321406190811153, 0.9320490131916281, 0.9319628464884977, 0.9318849719672178, 0.9318241949397521, 0.9317170037935638, 0.9316301141629499, 0.9315627189101582, 0.9314809335164898, 0.9313999195022149, 0.9313158579806158, 0.9312326203607366, 0.9311565491380557, 0.9310772020834639, 0.9309940985279824, 0.9309150748022164, 0.9308341273202743, 0.930749215471662, 0.9306682834429573, 0.9305811109363941, 0.9304897717417203, 0.9304013344952835, 0.9303014546476744, 0.9302029141043355, 0.9301022007720117, 0.9299927480099041, 0.9298779239767851, 0.9297688152549453, 0.9296655006297101, 0.9295615514209827, 0.9294636172688122, 0.9293612277550918, 0.9292443759585893, 0.929165187304611, 0.9290923915844485, 0.9289849223098834, 0.9289008051275844, 0.9288141379136852, 0.9287398311700481, 0.928644355070074, 0.9285489342076213, 0.9284586299010453, 0.9283775310328395, 0.9282782055052572, 0.9281855458913171, 0.928075587745181, 0.9279876243888976, 0.9278683503747859, 0.9277833645533409, 0.9277058128628706, 0.9276321893247186, 0.9275453025895624, 0.9274500304330813, 0.927364609762345, 0.9272969128973596, 0.9272270282100445, 0.9271397338988246, 0.9270328451759525, 0.9269520381323563, 0.9268572134974511, 0.9267776512309949, 0.9267031244297914, 0.9266085037665976, 0.9264983313854239, 0.926401960478805, 0.9263050608845401, 0.926216180209751, 0.9261238421345597, 0.9260510546276357, 0.9259760366903826, 0.9258818943272993, 0.9257821970457253, 0.925697180953863, 0.9256010668258166, 0.9255027023749975, 0.9253994348537228, 0.9253022129041363, 0.9252031098823048, 0.9250980660095656, 0.9249854768283912, 0.9248788336779903, 0.9247908788259751, 0.9247010651446008, 0.9245965762968614, 0.9244786649313249, 0.9243844980782234, 0.924295767293805, 0.9241782388468749, 0.9240667968613474, 0.9239832282954681, 0.9238942831527097, 0.9238017795171347, 0.9237145159473371, 0.9236318821151013, 0.92355155600841, 0.9234704425797953, 0.923366308766578, 0.9232504192242316, 0.9231439002556305, 0.9230100668899569, 0.922885687118927, 0.9228048993685604, 0.9227038868862409, 0.9225884644217086, 0.9224682009725189, 0.9223680552180803, 0.9222653264724261, 0.9221779805588188, 0.9220767831462748, 0.921982827995151, 0.9218777555046795, 0.921793161219673, 0.9217041784647237, 0.9216159138210287, 0.9215077159580445, 0.9213830112934049, 0.9212486822292555, 0.9211449801377547, 0.9210399729290377, 0.9208994723708254, 0.920784960572535, 0.9207143214085092, 0.9206322432785549, 0.9205267817810556, 0.9204436904223074, 0.9203647207075316, 0.9202613968714253, 0.9201464050890698, 0.9200364276858044, 0.9199384044443615, 0.9198328906898694, 0.9197154435492907, 0.9196111278342314, 0.9195115035017658, 0.9194239065178516, 0.9193249594710203, 0.9192180360128284, 0.9191363538126469, 0.919026617473809, 0.9189134519290111, 0.9187995817492689, 0.9186858221461492, 0.918593571177621, 0.9184974369289958, 0.9184008351708104, 0.9182849163243361, 0.9181764550139326, 0.9180800410291586, 0.9179600017683673, 0.9178305137420846, 0.9177419145250714, 0.9176505106360933, 0.9175534561645567, 0.9174333103009731, 0.9172938342138643, 0.9171607843879279, 0.9170311096690822, 0.9169078984605231, 0.9167611608213015, 0.9166446012728738, 0.9165444683054284, 0.916435374923932, 0.9163152524150444, 0.9162055510166907, 0.9160794751351009, 0.9159585581624359, 0.9158538069692206, 0.9157525110997775, 0.9156394784791959, 0.9154971637047059, 0.9153658070072036, 0.9152374410840813, 0.9151330447588293, 0.9150331613890288, 0.9149247929841529, 0.914826519490811, 0.9147052736731458, 0.9145962872446101, 0.9144491327442084, 0.9143315493143862, 0.9142344986393003, 0.9141293133462857, 0.9139958749059026, 0.9138843515102142, 0.9137497654293589, 0.9136301005346261, 0.913528014571834, 0.9134047634133711, 0.9132789471724785, 0.9131524621426803, 0.9130361501317064, 0.912948205558658, 0.9128329621261955, 0.9126819794133327, 0.9125553078364961, 0.9124373592597008, 0.912304507605491, 0.9121590920850143, 0.9120461003887808, 0.9118944364640343, 0.911749173836102, 0.911627483364227, 0.9115027108665701, 0.9113813381982949, 0.9112443194007016, 0.9111311916336124, 0.9110024437198613, 0.9108607715628722, 0.9107406668618839, 0.9106045868178816, 0.9104564443663512, 0.9103053634186807, 0.9101716685243086, 0.9100404010810332, 0.9099236979010354, 0.9097912749844785, 0.9096360731017963, 0.9094952833071095, 0.9093524352973885, 0.9091917477952953, 0.9090535286501018, 0.9089076537758017, 0.9087380359839079, 0.9085961842571071, 0.9084684851950351, 0.9083365909782046, 0.9081973788024424, 0.9080686536416871, 0.9079392162987487, 0.9078047937737748, 0.9076774223422723, 0.9075358659353963, 0.9074104609784869, 0.9072541858470907, 0.9070574680149452, 0.9069224919828363, 0.906786072338984, 0.9066281333522592, 0.9064633330748297, 0.906299371722513, 0.9061556109546431, 0.9060211514576015, 0.9058665768654088, 0.905731303338478, 0.9055928112623073, 0.905463619242289, 0.9053464546245953, 0.9051974244691232, 0.9050619731427894, 0.9049437076183644, 0.9048192363506874, 0.9046725086903467, 0.9045102067704724, 0.9043342874879668, 0.904171847942498, 0.9040244534511412, 0.9038604633917335, 0.9036947639070204, 0.9035761870126736, 0.903471490521683, 0.9033226374437114, 0.9031812877764898, 0.9030275764360935, 0.9028760263315584, 0.9027182643345942, 0.902569023795688, 0.9024053377127303, 0.9022464198068532, 0.9020906573527094, 0.9019624549621361, 0.9018086829120646, 0.9016475979333801, 0.9014852161481328, 0.9013367682441003, 0.9011595661046514, 0.90100703004101, 0.9008580141811926, 0.9007280549107789, 0.9005467514522669, 0.9003870859277514, 0.900236976489716, 0.9001157743516437, 0.8999751590257954, 0.8998047368912323, 0.8996071994073247, 0.8994406999417609, 0.8992763883206769, 0.899124580393332, 0.8989756003957331, 0.8988252273221533, 0.8987044529287428, 0.898582289757484, 0.8984442292917719, 0.8983000172762008, 0.8981435663076236, 0.8979644600429371, 0.897798839762382, 0.8976282881964623, 0.8974670154957112, 0.8973076158266682, 0.897161512200524, 0.897014979615536, 0.8968688855732045, 0.8967086706958224, 0.8965846485436963, 0.8964672145009633, 0.8963588085711878, 0.8962276922725652, 0.8961248785854299, 0.8959767590550358, 0.8958251555613401, 0.8956717835775416, 0.8955096936970081, 0.8953568763369188, 0.8952223563524596, 0.895033382929523, 0.8948454324533347, 0.8946898917600159, 0.8945231161991625, 0.8943283780823226, 0.8941512514011798, 0.8940086536857768, 0.8938356214677443, 0.8936476628881178, 0.8934769872399644, 0.8933218341629954, 0.893116891093362, 0.8929510772591076, 0.8927533279993928, 0.8925485162385491, 0.8923583379953584, 0.8921693232400798, 0.891960801780833, 0.8917467761865749, 0.8915499564875293, 0.8913673418674686, 0.8911858265946564, 0.8910248772336979, 0.8908261075026336, 0.8906093855447805, 0.8904601775726745, 0.8902754549692067, 0.8900976338879858, 0.8899192040962607, 0.8897300393647086, 0.8895187983231054, 0.8893571957846444, 0.8891709683370244, 0.889014481008952, 0.8888209346045569, 0.8886115264539964, 0.8884527075506526, 0.8882790461627437, 0.8880853306550549, 0.8879083583025627, 0.8876837134280274, 0.8874839258194536, 0.887245930415899, 0.8870328829524867, 0.8868448303858063, 0.8866522027497259, 0.8864552656463256, 0.8862744794782405, 0.8860716188931297, 0.8858535774247775, 0.8856543199348388, 0.8854364235484802, 0.8852209603525298, 0.885043218070515, 0.8847915207062776, 0.8846137948347843, 0.8844184781164323, 0.8842156455530947, 0.8840265977456683, 0.8838638927776118, 0.8836479583334251, 0.8834135506868694, 0.8831820276451814, 0.8829908120961516, 0.882731895073959, 0.8825440409368568, 0.8823549553791666, 0.8821426881413483, 0.8819339469878182, 0.881782647248651, 0.8815975811032535, 0.8813827323309663, 0.881158078878956, 0.8809166528110319, 0.8807193350205014, 0.8805118495880294, 0.8802722131888513, 0.8800515278425687, 0.8798501417572357, 0.8796415618263411, 0.8794219971976884, 0.8792224380697183, 0.8789242083344635, 0.8786747383687648, 0.8784052674126408, 0.8781920756846198, 0.8779869907407893, 0.877734136118069, 0.8775475742576005, 0.8773731930851716, 0.8771699911876818, 0.8769761714966453, 0.8767580294172246, 0.876493418387449, 0.8762062433896782, 0.8759249371186266, 0.875669378267112, 0.875422680656956, 0.875199385137704, 0.8749765586690421, 0.8747928913076359, 0.8745985091685633, 0.8743449604705373, 0.8740659261445101, 0.8737752447254241, 0.8735646891713552, 0.8732945396348424, 0.8730614974607952, 0.8728530105955528, 0.8726370816214175, 0.872386582435573, 0.872184442901782, 0.8719445958282439, 0.8717110130879965, 0.8714338005447717, 0.8711940996180916, 0.8709860924696738, 0.8707601424058433, 0.8705406401011788, 0.8702329234053873, 0.8699732773575146, 0.8697427604506467, 0.869517066616579, 0.8692748919413116, 0.8690457619905584, 0.868771095372647, 0.8685490163397009, 0.8682597539056724, 0.8678629181674034, 0.8675961434165755, 0.8673125614263373, 0.8670881434144619, 0.8668104166577695, 0.8664657838294113, 0.8661613719609766, 0.8658554956975433, 0.8655878168625384, 0.8653089665957441, 0.8650593052945104, 0.8647631962959754, 0.864477356806864, 0.8642503595551895, 0.8640335261594014, 0.8638050612289963, 0.8635334006293895, 0.8632379440202412, 0.8629544574911139, 0.8627445465400004, 0.8625162776635966, 0.8622996789102075, 0.8620161540763565, 0.8617254863590293, 0.8614680445147272, 0.8611755397281068, 0.8608934778705646, 0.860601374107002, 0.8602851999207208, 0.8600188769500943, 0.8597352952306894, 0.8594061014459418, 0.8591284688448784, 0.8588528922142906, 0.85857174852735, 0.8582855194537471, 0.8579693653178051, 0.8576712813953449, 0.8574024595569754, 0.8571223209666841, 0.8568381989994134, 0.8565546714833787, 0.856248183770735, 0.855914455567429, 0.8556171916769144, 0.8553439699188378, 0.8550412912559164, 0.8547407202406898, 0.8544610694894447, 0.8541911815851588, 0.8538780225060105, 0.85357138636842, 0.853296143057988, 0.8530058724475766, 0.85265125717078, 0.8523491719792713, 0.8520441294270311, 0.8517938391082962, 0.8515230434137506, 0.8512455966516652, 0.8509522003236019, 0.8506384437593844, 0.8503025656314792, 0.8499915421618585, 0.849644447868748, 0.8493409143255326, 0.8490195848832764, 0.8487527710556841, 0.8483905768381446, 0.8480743421316332, 0.8477427690406472, 0.8474263771916986, 0.8471091256025595, 0.846730874474636, 0.8463550206844799, 0.8459913804777807, 0.8456743654490282, 0.8453333248360068, 0.8450308411580341, 0.8446820949766654, 0.8443378651589185, 0.8440386829497365, 0.8437473469220533, 0.8433692060808733, 0.8430167094616527, 0.8426011821455951, 0.8422446880491323, 0.8418797554905854, 0.8414675643521166, 0.8410779439330797, 0.8407177717669925, 0.8403950865192431, 0.8400605264154943, 0.8397520551342447, 0.8394030777726929, 0.8389723716332667, 0.8386341644366961, 0.8382802271088262, 0.8379312663966813, 0.8375114489005879, 0.8370833905000862, 0.8367018618405154, 0.8362883772040497, 0.8359182053314973, 0.8355284772093572, 0.8350893208081285, 0.8347041247565806, 0.8343168572367621, 0.8339025194339944, 0.8335316992192696, 0.8331149913246807, 0.8327080047587827, 0.8323425253990187, 0.8319707793666037, 0.8316038467545414, 0.8312428613965586, 0.8308995986302585, 0.830555420210519, 0.8301928353217682, 0.8298259680390041, 0.8294933851169939, 0.8291069784694264, 0.8286697700259144, 0.8283510686703973, 0.8280085587767172, 0.8275445086231427, 0.8270743341618279, 0.8267130097184627, 0.8263090209189593, 0.8258723359846074, 0.8254836539523113, 0.8250482140781021, 0.8245328095837673, 0.8241347254866294, 0.8237367489744535, 0.8232917692228519, 0.8228502740760828, 0.8224472432861819, 0.8220327690728308, 0.8216065623676518, 0.8212261265201044, 0.820825493109129, 0.8203593450535385, 0.8199263955547845, 0.8194661057017743, 0.8190399089696204, 0.8186348922546476, 0.8183193972987273, 0.8179773193757166, 0.8175293559048689, 0.817160169581229, 0.8167595714533944, 0.8163163146511039, 0.8158484722017284, 0.8154021124951897, 0.814980126624356, 0.8145879405576033, 0.8141383920848589, 0.8137314933898349, 0.8132496154178435, 0.8127935466226871, 0.8123232604421311, 0.8119098837014366, 0.8115466112096352, 0.811072797474795, 0.8106003256711047, 0.8101561318026143, 0.8096693020437795, 0.8091248664534377, 0.8085998928280752, 0.8081267499401417, 0.8076491432815947, 0.8071961003922563, 0.8067621550882109, 0.8062702105914816, 0.8057094603408979, 0.8051732821149948, 0.8046047741169191, 0.8040784830737409, 0.803645674663011, 0.8032820413769737, 0.802850692689304, 0.8023225852290681, 0.8018061204402263, 0.8013355937153578, 0.80085853354979, 0.8003924159390434, 0.7999269542547988, 0.7994082084165833, 0.7989044487327903, 0.7984020236820624, 0.79792359927189, 0.7974859792243093, 0.7970558210336072, 0.7965478987163295, 0.7959532438761748, 0.7954543984513938, 0.7949544890504084, 0.7943957003847286, 0.7939022859620056, 0.7934691601698473, 0.7929446825171076, 0.7924917834800932, 0.7920291871012135, 0.7915215643384963, 0.7910906808019219, 0.7906107753811554, 0.7900795931712747, 0.7895578579485041, 0.788970521437102, 0.78844169743004, 0.7878653027834229, 0.7873576861404721, 0.7867742306333059, 0.7862328294941189, 0.7856088870272713, 0.7850704546710328, 0.7845948948012413, 0.7839899753355798, 0.7835080763312239, 0.7830027640230734, 0.7823633436408652, 0.7819067964961635, 0.7813856055106669, 0.7807823455177338, 0.7803195745836873, 0.7798241119493476, 0.7791910330569252, 0.7785782969125378, 0.7780016090575104, 0.7774979608695699, 0.777028800014673, 0.7764798603784888, 0.775876273359899, 0.7751527494237456, 0.7745343578063315, 0.7739529221284914, 0.773311448562344, 0.7726463670368969, 0.7718920915573905, 0.7711928760234752, 0.7705038668693653, 0.7697519333611578, 0.769041628313904, 0.7683503790457897, 0.7677668850495241, 0.7671084477637807, 0.7664726091102885, 0.765808404482623, 0.7651537110294416, 0.764557559125927, 0.7639093200617132, 0.7633226817402192, 0.7627321510484962, 0.7621058013964961, 0.7614446187650329, 0.7608350223659159, 0.7601753304181825, 0.7594389191568798, 0.7586943702897475, 0.7579947531209733, 0.7573270154838145, 0.7567149323697779, 0.7560430830340841, 0.7554289485783061, 0.7548227083740576, 0.7542815050808657, 0.753626986948587, 0.7530574814404758, 0.7523794845508294, 0.7517682331986764, 0.751052380966916, 0.7503339910526541, 0.7496451081484115, 0.7489494958133346, 0.7481079832304063, 0.7473860256021674, 0.7467292095300306, 0.7461619017686192, 0.7455465116849543, 0.744865742591047, 0.7441552438786562, 0.7434525296762604, 0.7427616795953138, 0.7421320304718811, 0.7415989052708484, 0.7410059132922635, 0.7402592168237415, 0.7396492526576501, 0.7389172525733319, 0.7383031733459543, 0.737573194613639, 0.7369303200231068, 0.736216004771115, 0.7354920862260188, 0.7347637528298894, 0.7342456522398966, 0.7336479128069211, 0.733011201238237, 0.7322889657698659, 0.7316176266657829, 0.7309940345918844, 0.7303728820565716, 0.7297357417320598, 0.7290446031749105, 0.7283896683112492, 0.7276692315794064, 0.72686559405301, 0.7261991258874105, 0.7254904194601869, 0.7247015903680665, 0.7238419020276599, 0.7230044577954895, 0.7221278426078748, 0.7212879415822306, 0.7205240567348552, 0.7197145415154335, 0.7188776920355996, 0.7181659145225088, 0.7175338140418186, 0.7167315836996687, 0.7159989247512297, 0.7152670043917897, 0.7145109490919803, 0.7136630451479931, 0.7128148779266033, 0.7120031500859663, 0.7111556845398681, 0.7102018072801866, 0.709352477025722, 0.7085361340071519, 0.7076949918186328, 0.7068391593924076, 0.7060915376939991, 0.7054061661928446, 0.7046471803706589, 0.703734154745119, 0.7027842792731823, 0.7018520514744868, 0.7009057591150569, 0.6999584797644482, 0.6989598517056352, 0.6979173430513493, 0.6969534869847565, 0.6959411844684209, 0.6948053669019364, 0.693743079731738, 0.6925763035242753, 0.691548962468415, 0.6906559280072643, 0.6895511564729913, 0.6881772092302914, 0.6866622792786958, 0.6847381204522252, 0.6821472231317913, 0.6799643291685666, 0.6779992974964073, 0.6755376984480387, 0.6734651934308495, 0.6715335973189516, 0.669529999063218, 0.6678918758831336, 0.6662566937256709, 0.6648933330802664, 0.6635027004241686, 0.6624009493074692, 0.6610376491324452, 0.65975738926298, 0.658340550472926, 0.6567556964647836, 0.6554755557457318, 0.6541702324958684, 0.6528727224288082, 0.6516244650984486, 0.6503236658987583, 0.6488856945278204, 0.6475855537119606, 0.6464834147497724, 0.645149932639725, 0.6435728968280197, 0.6421510393136831, 0.6408478086523035, 0.6396352682556428, 0.6384237221225559, 0.6371097778428865, 0.6357682511565907, 0.6343765845889753, 0.6331028516590373, 0.6318453622545493, 0.6306797287927761, 0.6295671342779754, 0.6283157454774413, 0.6271340782309545, 0.6259725354701973, 0.6247898487264698, 0.6237050124057146, 0.6226616318958549, 0.6216307671283645, 0.62041679496549, 0.6190076171779455, 0.6177262324570185, 0.6166758362836111, 0.6156258412539695, 0.6143782451578368, 0.6132146701479424, 0.6121181910157036, 0.6109466170276765, 0.6095911143949606, 0.608396243574068, 0.6071994730090317, 0.6061034143634509, 0.6049381291855269, 0.6038629516699018, 0.6029483659701098, 0.6018124534819302, 0.6008267405381988, 0.5998842181209106, 0.5990173632333315, 0.5976973822125029, 0.5966968108884219, 0.5955421259130674, 0.594249494589788, 0.5929029518566665, 0.5915574128271783, 0.5901654663215726, 0.5885934032516345, 0.5873187365448225, 0.5861721960981889, 0.5849941200756239, 0.5837429620806702, 0.5827823009989852, 0.5816361219306984, 0.5805599557979751, 0.5793916646156418, 0.5782397529658758, 0.5769386410540589, 0.5757844965581111, 0.5746518499111855, 0.5736667161058, 0.5726545441699852, 0.5716836169318522, 0.5706309898598675, 0.569592471978754, 0.5685753871217015, 0.5672893405665698, 0.5662109339660053, 0.5650459597058075, 0.5639033896190881, 0.5627813666252852, 0.5615268334726081, 0.5601107019565041, 0.5587433966451948, 0.5574124328658485, 0.5561672742147663, 0.5550172485776714, 0.5538408873033107, 0.5529340582905584, 0.5518261406988008, 0.5506831895658681, 0.5494980365378024, 0.5483252917110606, 0.5470484624686904, 0.5457835402542919, 0.5446197920959363, 0.543195566447545, 0.5418312702731856, 0.5406885114219216, 0.53951171821906, 0.5383508607892526, 0.5371611669167667, 0.5358118905008499, 0.5344834089894605, 0.533163547780216, 0.5320581684386696, 0.5308326439317665, 0.5295931693240066, 0.5283850705961668, 0.5269627191444657, 0.5257504454419492, 0.5247008985214331, 0.5234861954550644, 0.522332624616648, 0.521084377266674, 0.5199525569026335, 0.5186036484539666, 0.5174757074811629, 0.5162249798568247, 0.5147551433831433, 0.5134218341530833, 0.5121328193317922, 0.5109621135986269, 0.5097818817258032, 0.5088712969564926, 0.5077838956456175, 0.506812826299804, 0.5056358537565028, 0.5043865773420662, 0.5031739639164026, 0.5043112786026791, 0.5037432108007945, 0.5025820354602273, 0.5018890119163643, 0.5021203328333023, 0.5014691371573239, 0.5018784329815101, 0.5012160226177867, 0.5013872706001654, 0.5022852640987296, 0.5020681578576454, 0.5009127899400834, 0.5011452463232873, 0.5009547096707025, 0.5015445882419057, 0.5008990685072047, 0.501085549228151, 0.5010913263858692, 0.500552604528269, 0.5003650018212152, 0.5010190002369035, 0.5012947907470552, 0.5017040454491184, 0.5011792367561007, 0.5012205968153773, 0.5013981835705461, 0.5009662489686233, 0.5070463973039466, 0.5057579835754824, 0.5045291420233557, 0.503038852500069, 0.5016849060045158, 0.5019196938838061, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null]}, {\\\"line\\\": {\\\"color\\\": \\\"rgba(125, 0, 255, 1)\\\", \\\"width\\\": 1}, \\\"name\\\": \\\"Blast\\\", \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.9126832552008803, 0.9124256801151227, 0.9123140239355377, 0.9121995461196455, 0.9120459684863533, 0.911903274307389, 0.9117601770375238, 0.91162554467658, 0.9114308517713829, 0.9113296759552246, 0.9111813385036459, 0.9110076063253024, 0.9108407266922763, 0.9106565141505061, 0.9105109983352346, 0.9103888617922228, 0.9102405243406441, 0.9100958147071746, 0.9099454618010908, 0.9098305808942975, 0.9097003825332651, 0.9095621223542121, 0.9094109632663262, 0.9092783463598876, 0.9091658839985005, 0.9089945703655632, 0.9088151949146052, 0.9086757254628491, 0.9085741465557898, 0.9084407234675491, 0.9083201992881414, 0.9080892282018518, 0.9079828122039801, 0.9078538231156508, 0.9077530503903936, 0.9075865738482686, 0.907441058032997, 0.907330611126115, 0.9072209704010351, 0.9070266805867391, 0.9069226831342736, 0.9067642684101692, 0.9065957764135391, 0.906469608961517, 0.9063430384185938, 0.9061140827868093, 0.9059322887904452, 0.9058105553383343, 0.9056888218862236, 0.9055521740707747, 0.905265173349242, 0.9051281224428921, 0.9049914746274432, 0.9048137115400894, 0.9046194217257933, 0.9044569760926786, 0.9043005768230794, 0.9041945639161088, 0.9040542882825506, 0.9037164981074882, 0.9035963770189815, 0.9034528766582152, 0.9031787748455155, 0.9029748108495947, 0.902868394851723, 0.9026696710375157, 0.9023149510446101, 0.9021150179576997, 0.9019025890528574, 0.9017518330558725, 0.9015099785152549, 0.901219753066514, 0.9010714156149353, 0.9009323492540803, 0.90077554689358, 0.9003216665390212, 0.900139469451756, 0.9000088679998226, 0.8998419883667966, 0.8997061467331497, 0.899528383645796, 0.8993989914665657, 0.8991148123813402, 0.898989854202021, 0.898684311299041, 0.898502114211776, 0.8982243845809669, 0.8979007025874405, 0.8977737289536163, 0.8976233760475325, 0.8974597211417147, 0.8971247526029595, 0.8969683533333602, 0.8967039257022851, 0.8964991555245624, 0.8963137337100889, 0.895939665353934, 0.895773994993611, 0.8954938468173957, 0.8951677462784633, 0.8950125562815671, 0.8948803424660295, 0.8947541750140074, 0.8946300230164904, 0.8943494717493742, 0.8941305933901154, 0.8938504452139002, 0.8935187014023532, 0.8934026112228569, 0.8932885364978657, 0.893139795955386, 0.8929660637770424, 0.8926597146922602, 0.8925242761495145, 0.8923166843354845, 0.8920808761583825, 0.8919107717981481, 0.8917938754368497, 0.891658436894104, 0.8914016679901484, 0.8912831592652459, 0.8910747612694139, 0.8909502061809959, 0.8907954192750007, 0.8906382138235993, 0.8903943438284767, 0.8901807056509313, 0.8900750958348618, 0.8899005574747161, 0.8896792605700512, 0.8893273622134528, 0.8891753969437648, 0.8890266564012851, 0.8887819802243604, 0.8885598771378934, 0.8883216504153851, 0.8881680727820931, 0.8879713644223909, 0.8878024693348597, 0.8875533591580237, 0.8872832882543342, 0.8871538960751039, 0.886533136087519, 0.8860627290060181, 0.8852380050225126, 0.8844660859470419, 0.8840557394097943, 0.8835035048753844, 0.8828605748882431, 0.8820261767231128, 0.8813856652813776, 0.8809269478360064, 0.8803610082109616, 0.8798365869487228, 0.8789743755114215, 0.8784801860667599, 0.8777904975350992, 0.8768799151896745, 0.8764542511981877, 0.875654518850546, 0.8745839094174127, 0.8739393670666672, 0.8712842073015886, 0.8703881362286009, 0.8697899493314737, 0.8693400998859253, 0.8678518882793259, 0.866758302664834, 0.8659126179544749, 0.864985911973009, 0.8644562505290568, 0.8637593063611775, 0.8629926274674202, 0.8624464392965258, 0.8613621247727575, 0.8606156004240516, 0.8597416993506205, 0.8587319566435427, 0.8583522450147733, 0.8575396137582987, 0.8571135466759109, 0.8564424003256974, 0.8553592950746323, 0.854745790723266, 0.8537247614709593, 0.853234199844407, 0.8521905975016426, 0.8513154871555084, 0.8505290568076007, 0.8494564319199622, 0.8485611670287767, 0.8479311359504682, 0.8469346952431243, 0.8460249190795016, 0.8452102723685219, 0.8445028478372157, 0.8437051309440792, 0.8427417436906197, 0.8421326733391648, 0.8411656582675959, 0.840348996102111, 0.8394247086660512, 0.8383158055973202, 0.8377111692457766, 0.8368598412628032, 0.8360165750978503, 0.834959267664451, 0.8344610473107791, 0.8332146902447971, 0.8320517729953282, 0.831424563553327, 0.8302467319405199, 0.8288979897856765, 0.8275863319937279, 0.8261202903866851, 0.8252637222219983, 0.8240943555181129, 0.8234195813497902, 0.8223155153718715, 0.8208361717650947, 0.8202895805032993, 0.8187900823514711, 0.81815118327334, 0.8170422802046089, 0.8159277338632634, 0.8150514142444263, 0.8136639753630841, 0.8129061644691494, 0.8114155343171439, 0.8102308501590194, 0.809505689628068, 0.8083330981969744, 0.8075680316668212, 0.8068694751353378, 0.8059334980631482, 0.8049350419012992, 0.8040704119185917, 0.8032932526614077, 0.8021117932304914, 0.8005715828976593, 0.7998085318220112, 0.7984493093037411, 0.7975516258671493, 0.7965523635234982, 0.795329788820677, 0.7947029824695767, 0.7938141670328076, 0.7929672730497455, 0.7913315301733694, 0.7901851396508427, 0.7894253133024028, 0.7880922916926997, 0.7875815755210958, 0.7859006864638044, 0.7851755259328531, 0.7842415643151687, 0.782583651439236, 0.7820374632683417, 0.7801018207616, 0.7790364515101801, 0.7773978869974968, 0.7760644622968925, 0.775515452489691, 0.7741953297888207, 0.7735036258026547, 0.7726015083661516, 0.7714212582079385, 0.770764220039261, 0.7695634122450954, 0.7689886046202279, 0.7673190021081654, 0.7660992490416514, 0.7654188316007142, 0.763850001813909, 0.7628197014708787, 0.7611924235034243, 0.7598896337112983, 0.7585606430106053, 0.7571131435850098, 0.7563924170539699, 0.754952576355494, 0.7532253318445843, 0.7524582498599259, 0.7512328535207975, 0.7505568700797717, 0.7488300286597631, 0.7474288846877859, 0.746958880697186, 0.745974935807774, 0.7455097689079865, 0.7443226662044558, 0.7436309622182898, 0.7427489993268382, 0.7412700588109624, 0.7403594764655378, 0.7389817117658203, 0.7374427107056912, 0.7366804658118452, 0.7353365607478143, 0.7342159680429534, 0.7326435104380389, 0.7312629241020142, 0.7301822373963552, 0.7282921441614298, 0.7274617769053099, 0.7264762196522938, 0.7256490771233821, 0.724732045323541, 0.7231277435374451, 0.7220123910142976, 0.7207035548586562, 0.7195454746999996, 0.7183410390877246, 0.716889508753119, 0.7154549082363564, 0.7137933675423145, 0.7133072399156734, 0.7119415679429868, 0.7108298432379486, 0.7102139203411761, 0.7084008174683473, 0.7071351120391159, 0.7060898973327475, 0.7048133084491883, 0.7037310093799253, 0.7023064861356885, 0.7015813256047371, 0.7005788385338778, 0.6993788369215141, 0.6989096391127163, 0.6975931442299553, 0.6968454106085463, 0.6954793355449588, 0.6943595490218999, 0.693876646122467, 0.6927701615991422, 0.6920470165226961, 0.6904685125542661, 0.6889919905837966, 0.6883708275053108, 0.6873876887977007, 0.6865436164509459, 0.6852448575678302, 0.6835732396012625, 0.6830415627028051, 0.681792787091417, 0.6809253354724024, 0.6797027607695811, 0.6786373915181613, 0.6780420262573413, 0.6770532442771169, 0.6760713148422101, 0.6751119584977608, 0.6740187759741699, 0.6730993256289226, 0.6718489376539304, 0.6709246502178706, 0.6693715409762055, 0.6683464808148886, 0.6669231668433548, 0.6657977370476816, 0.6650242056086068, 0.6639548054481766, 0.6633304176424826, 0.6623537283892891, 0.6611230918684472, 0.6597550013503545, 0.6581640015639927, 0.65719940503783, 0.6561650737857895, 0.6545204629095908, 0.6537408851070005, 0.6525936884026717, 0.6516238516947956, 0.6500316426357308, 0.6486849159353926, 0.6476453445016386, 0.6463316712551848, 0.6453880354558756, 0.6445911247445412, 0.6431835313181475, 0.6425123849679342, 0.6410773813602706, 0.6404473502819621, 0.6396548735705389, 0.6383097592338048, 0.6377313237908281, 0.6365998476316395, 0.6353768698379172, 0.6341728373165433, 0.6328918144330729, 0.6320743460857858, 0.6309888222893144, 0.6301604704876996, 0.6293091425047262, 0.6280938234381235, 0.6271562340023299, 0.6254640583998098, 0.6248009738676169, 0.623721899525562, 0.6227133660911872, 0.6216399350217467, 0.6203673770471979, 0.6200009674181625, 0.6191830959799745, 0.6183140319973557, 0.6170076143871205, 0.6158007602294393, 0.61490791388366, 0.6137071060894942, 0.6128972964693268, 0.611722286492827, 0.6103433125204065, 0.6094327301749818, 0.607925976386935, 0.6071302749483036, 0.6058456242467238, 0.6045343695456763, 0.6038986951947534, 0.6028768597606446, 0.6019437043247623, 0.6001072221796737, 0.5990773249275444, 0.5984646267579802, 0.5971799760564005, 0.5966470898852401, 0.5954039575464664, 0.5943418130222546, 0.5938278721234426, 0.5926710012374891, 0.5915258199876654, 0.5904612569180476, 0.5888384129505044, 0.5878730102425398, 0.5866649468121556, 0.5859345460994909, 0.5844092501299968, 0.5828263121616556, 0.5820938959944857, 0.5812909389196358, 0.580600444206173, 0.57978458822249, 0.5787147849711588, 0.5779223082597357, 0.5766465255579786, 0.5757843141206773, 0.5748301979579415, 0.5732690268982559, 0.572024282195878, 0.5706904544043727, 0.5701692578693421, 0.5690402002555597, 0.567187997565331, 0.566204858857721, 0.5651624657876598, 0.564625548707489, 0.5639080469036573, 0.5632421407351572, 0.5620703554858656, 0.5607699842391458, 0.5598743162570591, 0.5587194608256107, 0.5579096512054433, 0.5569938286783053, 0.5557906023387335, 0.5549828081730711, 0.5540488465553867, 0.5528883478513239, 0.5516653700576017, 0.5501763522692003, 0.5493709766489441, 0.5482628797620152, 0.5475606954124225, 0.5463635154363661, 0.5453594160019026, 0.5445225992913661, 0.5433032493157532, 0.5427127211457455, 0.54137486244523, 0.539712112478485, 0.5388067703147736, 0.537302031981232, 0.5365571199961303, 0.535804549283909, 0.5349262142105666, 0.5343562436765115, 0.5333896316958437, 0.5328285291616113, 0.5318212049999396, 0.5308465312012512, 0.5301822373963553, 0.528196611617886, 0.5275589218124579, 0.5264592898344506, 0.5254483378546696, 0.5246961702333494, 0.5238146104327988, 0.5231458826279914, 0.5218463175630736, 0.5208107770383299, 0.519854645421089, 0.518525654720396, 0.517708186373109, 0.5167782556644349, 0.5159091916818161, 0.5148833253386972, 0.513538614092864, 0.5129061644691494, 0.5118508724902553, 0.510960041598981, 0.509796721258611, 0.509047778364499, 0.508563666192363, 0.5073402853077398, 0.5066804255027552, 0.5054759898904801, 0.5044811615467404, 0.5040857293728309, 0.5027785055807935, 0.5022887501360431, 0.5015345670602177, 0.500636883623626, 0.4999209941833983, 0.4987854871151993, 0.49813852621904764, 0.49689297533486776, 0.4949202484652314, 0.4943200461135991, 0.49313495886457354, 0.4926923650552436, 0.4916572276214009, 0.49022907655905484, 0.48957808475389286, 0.48857801622843966, 0.4881519491460519, 0.48734093025318137, 0.48635093900025395, 0.4855439510163937, 0.48454106085463333, 0.4837820406879956, 0.482278108536256, 0.4812135454666382, 0.4804698427542395, 0.47971565967841406, 0.4788167669691192, 0.47769778662786244, 0.4767932506459532, 0.4759846502984888, 0.47499183740925416, 0.47408689833644385, 0.4729642901770778, 0.4720948231035581, 0.4707343913125849, 0.469918132238001, 0.46910550098152637, 0.46800909373072724, 0.46689535357118384, 0.4662100990394344, 0.46481056743106136, 0.4640612214460483, 0.463447314003781, 0.4628176860163736, 0.46202480621404934, 0.4612278955027148, 0.4604031715192093, 0.4595083097189247, 0.458749692643188, 0.4578262113889303, 0.45694545777018175, 0.4561227492411814, 0.45465509527053444, 0.4542217725519282, 0.45358247038289606, 0.4525102485861587, 0.4519237513251613, 0.45107161716038585, 0.4505218011713822, 0.4497615717320413, 0.44899045883837263, 0.44857406593760957, 0.44776022540843186, 0.4470306308775692, 0.44628974980147773, 0.4454190734552549, 0.44490876037455207, 0.4440384871192303, 0.44316377986399713, 0.44222457806459936, 0.44084117009226753, 0.44031674883002864, 0.43945776211993565, 0.4388583659501054, 0.4381799639636734, 0.43695900162445633, 0.436289467637847, 0.43531076293014836, 0.43474522639600455, 0.43395476513908654, 0.43301153243067847, 0.43252903262214665, 0.4311053155597119, 0.4299210344924884, 0.42933977741320445, 0.42837840561425006, 0.4278717203516565, 0.4268627838263807, 0.4262480702023113, 0.425162949496741, 0.4243620078763962, 0.4236291886183253, 0.4228854859059267, 0.42230382573574166, 0.42126586666559174, 0.4208035214021114, 0.42028595268519003, 0.41934513852218813, 0.41881184926012666, 0.4178440280067558, 0.41696408056980927, 0.4161067062233204, 0.4154762720541109, 0.4146168822531169, 0.4136325342728039, 0.4127215488364781, 0.41162715704018416, 0.4108294401470476, 0.41016192161494336, 0.4089417654575283, 0.40845160692187693, 0.4076458282107198, 0.4066743791392397, 0.40607538606031046, 0.4052974206213243, 0.4046101506350697, 0.40374793919776847, 0.40242821958779923, 0.4016526726942193, 0.40045105871825154, 0.39960013382617915, 0.39869438857156675, 0.39767658404646833, 0.3971102413305225, 0.39613798607724027, 0.3954027482737632, 0.39454537392727435, 0.3937033170350246, 0.393251452134971, 0.39178420125522506, 0.3913843350814042, 0.39035564710197795, 0.38956720129956507, 0.3890310904011964, 0.3883143947791666, 0.38782222078901013, 0.3871051220760794, 0.38621670973021127, 0.38555967156153387, 0.3847897679405683, 0.3840601734097056, 0.3832044114268209, 0.38256027216697636, 0.38168274327543605, 0.3805722278431009, 0.37940326423011655, 0.3784217378861107, 0.3779565709863231, 0.3771411180935413, 0.37614548356799943, 0.3756150159422451, 0.37487977813876805, 0.3741594546986291, 0.3734093025318139, 0.3724596203689894, 0.37191423837989707, 0.3709730211259941, 0.36960049660799005, 0.3687531995340269, 0.3680038535490138, 0.3676209171930362, 0.3667046915749971, 0.3662782214017083, 0.3656856777771955, 0.3648085519765562, 0.3640406638100958, 0.36325020255317775, 0.3627838263806871, 0.3614649129525199, 0.3609380731448749, 0.36014882116065994, 0.3594482491746714, 0.359082242636537, 0.3579620530225771, 0.3568285614088833, 0.35594780779013474, 0.3547651390865154, 0.35424636109689095, 0.3534377607494266, 0.3526980889460382, 0.3519205265979531, 0.3512695347927911, 0.3507011766223401, 0.3499542491827332, 0.3491682219257265, 0.34840960484998973, 0.347402280688318, 0.3468794717896833, 0.34579515726591503, 0.3450131609179186, 0.34465078219789347, 0.34374302148877595, 0.34321618168113094, 0.3424499058782746, 0.34178158116436835, 0.3409185635452651, 0.33942108084794204, 0.33873864795249975, 0.33734959670755355, 0.33686064744460525, 0.33544337983658695, 0.33470733585130785, 0.3341147922267951, 0.33338721315043757, 0.3327071988004015, 0.3319606744516956, 0.33117545337649096, 0.33055912738881743, 0.3298130061310126, 0.32916080505314754, 0.32810954398326364, 0.3273823679978072, 0.3268563343719642, 0.3261142440231697, 0.3257075253040313, 0.3247570369594047, 0.32391256152174874, 0.3236332195273356, 0.3228129295437414, 0.32205511864980674, 0.3210223997613702, 0.32010698032513313, 0.31967244833382374, 0.31900694525622475, 0.31802420963951583, 0.31685685839013555, 0.3159398265902944, 0.31535010460208884, 0.3145943091626593, 0.3142194346247022, 0.31337616845974936, 0.31269454174610917, 0.3120757972130295, 0.31121197341212414, 0.3108866790549937, 0.3101248372520487, 0.3091130790904657, 0.3081734742001669, 0.3071721964020106, 0.3065437776873063, 0.30553887207104075, 0.3046387700890428, 0.30411757355401214, 0.30348189920308927, 0.3029711830314854, 0.3020380275956031, 0.3016651685121512, 0.3008884123458681, 0.3002027547232176, 0.29942962637504383, 0.29893342147587704, 0.2984646267579802, 0.2977297920454042, 0.2971291866028708, 0.29663136934009987, 0.2954233059097157, 0.29508591882555435, 0.29415719738958335, 0.29327765304353787, 0.2926048943297203, 0.2917019707114151, 0.2912650201746996, 0.29042780037326216, 0.2899525562009489, 0.28955591475433623, 0.28878399567886553, 0.28805923823881524, 0.28727643570901673, 0.28658513481375186, 0.2858132157382811, 0.28497196502783345, 0.2845999121261836, 0.2836272537820004, 0.28260179052978235, 0.28217612653829566, 0.28104263492460185, 0.28059923493346983, 0.279271050414579, 0.2785934546099491, 0.27811619498313067, 0.2771217697302919, 0.2766594244668115, 0.27624706247505876, 0.27514662431524933, 0.2748959017748092, 0.2743045674229996, 0.2739663741570362, 0.27354232252915356, 0.2726454452743638, 0.27233143746246213, 0.2716324778400777, 0.2712221313028301, 0.27045222768186455, 0.26983025842157665, 0.269516250609675, 0.26859438171902145, 0.26800304736721176, 0.2671069762942241, 0.26657126848675644, 0.2657465445032509, 0.2650036479726543, 0.26457072834494905, 0.26377825163352586, 0.26303213037572104, 0.26203609275927814, 0.2614310533168335, 0.2610259469612992, 0.2603257780662117, 0.2596792202609611, 0.2589609122753272, 0.25819665192697605, 0.25775486429944816, 0.25722197812828773, 0.2569087764981881, 0.25635492960017414, 0.2558417948831641, 0.25545160289096797, 0.25458818218096363, 0.2541484100079409, 0.25353450256567356, 0.2527807225807492, 0.25252798458580394, 0.2517145471475272, 0.2511667466130287, 0.25075599698488005, 0.249992945909232, 0.24975230064131762, 0.24898562174756028, 0.24824393448966675, 0.2476348641382118, 0.24714954269337278, 0.2469391292430356, 0.24637681743610002, 0.2458141025382634, 0.24535135418388201, 0.2448692574662512, 0.2445504125635372, 0.2438752353043135, 0.24352696476582433, 0.24295175405005584, 0.24231003333561751, 0.24185454061745465, 0.24100966208889768, 0.24047234191782588, 0.23994147120117057, 0.2394359952112801, 0.23860804650056636, 0.23781113578923183, 0.23733105452610617, 0.23679333126413338, 0.2366788534482411, 0.23619272582160003, 0.23535389365655848, 0.23487260312072974, 0.23444976076555024, 0.2340873820455251, 0.23331223824284614, 0.23245567007815932, 0.23206265644965596, 0.2311859337399177, 0.2309364204721807, 0.23038861993768214, 0.22953527650020356, 0.22898102651128857, 0.22817887561824066, 0.22786970489715136, 0.22740655345186894, 0.22676160801022238, 0.22638955510857253, 0.22600299093448564, 0.22551162312613118, 0.22492754441054003, 0.22456798732682207, 0.22402341151953176, 0.22369569861699512, 0.22325915117118061, 0.22270167645505737, 0.22244611682380494, 0.2220853504673839, 0.22152062011504214, 0.22104739139723398, 0.22041856959162862, 0.21956885397225928, 0.21896139598440845, 0.21847123744875707, 0.21804678272997344, 0.21747237819600698, 0.21684395948130264, 0.21635259167294818, 0.21547949678131917, 0.2153166480573034, 0.2146999189787289, 0.21390220208559232, 0.21347129791239222, 0.2129887981038604, 0.21260868338418998, 0.21138610868136873, 0.21090078723652972, 0.2100857374346489, 0.20956373471781622, 0.20898610545664154, 0.20837864746879067, 0.20800175747632849, 0.20712584094839226, 0.2066687358666253, 0.20635472805472363, 0.20557998734294572, 0.2053913408012641, 0.20499066844564118, 0.20477259626818445, 0.20449688209188055, 0.20370561465316042, 0.2031783717546144, 0.20260719194785617, 0.20164138614899046, 0.20128384451977765, 0.20056634271594587, 0.200359960174619, 0.19944212219297575, 0.19869962875328015, 0.19837715603245687, 0.19809942640164785, 0.19794463949565266, 0.1975556567761596, 0.1968353333360206, 0.1965523635234982, 0.19608276262379928, 0.195690555177098, 0.19506213646239365, 0.1947912593769021, 0.1945574666543052, 0.1937911908514489, 0.1933586743146447, 0.19267301669199421, 0.19237432633433166, 0.19183861852686399, 0.19096189581712572, 0.19065756218684876, 0.18988161220236777, 0.18931930039543218, 0.18881019658743242, 0.18810519060153255, 0.1878439876976657, 0.18737116207075857, 0.1870930293490485, 0.18675523917398612, 0.18632352881898398, 0.18588012882785196, 0.1855354861074721, 0.1843786152215186, 0.1840142210469883, 0.18333057887884296, 0.1829222477961005, 0.18213138344828142, 0.181737563637976, 0.18127924928350592, 0.1803408536659102, 0.18012560312476067, 0.1794181785934546, 0.17876557442468852, 0.1783358795241915, 0.17775341317220447, 0.17740111172470505, 0.17659210828633964, 0.17609590338717285, 0.17569079703163862, 0.17511276467956288, 0.17490436668373086, 0.17459438978083947, 0.17436543414905495, 0.17397080815694746, 0.17355844616519472, 0.1732686238073548, 0.17280103836216104, 0.1726313370928278, 0.17246123273259353, 0.17192713728873, 0.1717042280204609, 0.17104960839718966, 0.17085290003748746, 0.17051349749882097, 0.169696432242435, 0.16927197752365136, 0.16884631353216464, 0.16856011899243398, 0.1682098329994397, 0.16782689664346206, 0.16758987919365695, 0.16677160466456792, 0.16643744230761479, 0.16588359540960082, 0.16519592233244518, 0.1648774805206322, 0.1644409330748177, 0.16413821180814486, 0.16381090199650924, 0.16356864436499075, 0.16320425019046045, 0.16283663128872192, 0.16254035947646553, 0.16228238129980693, 0.16185631421741917, 0.16149877258820636, 0.1611432464134987, 0.16092920514505227, 0.16054626878907463, 0.1601859055235546, 0.15982352680352946, 0.15954055699100705, 0.15912658263565016, 0.15869930628055934, 0.1585300081021271, 0.15815755210957624, 0.15782419593442518, 0.15771173357303805, 0.15713410431186337, 0.1566939290479396, 0.15635533269107516, 0.15602761978853852, 0.15564387725075882, 0.15490460853827145, 0.15467041272477355, 0.15419476546155925, 0.15387188964983495, 0.15344582256744718, 0.15313745802815992, 0.15275210312677612, 0.1522627507729268, 0.15176049951024456, 0.15161941769488438, 0.151420290789776, 0.15110628297787435, 0.15058952044275506, 0.15024568390417722, 0.150006650999867, 0.14951568628241355, 0.14928471519612388, 0.14878649484245193, 0.14834470721492404, 0.14783479722512224, 0.14754699032178747, 0.14720678160131892, 0.14668356961178317, 0.14616358234945562, 0.14582458290169015, 0.1453412769113563, 0.14512844491561291, 0.1446975407424128, 0.14445971711080566, 0.144021154210486, 0.14345884240355042, 0.14332703167891392, 0.14303761241197502, 0.14281671859821107, 0.1426232349657171, 0.14235638878923587, 0.1420617293405836, 0.14164130553081025, 0.14148087535220066, 0.14117210772201239, 0.14095806645356596, 0.1405831919156089, 0.14008698701644207, 0.13991728574710882, 0.1392449301241923, 0.13845527504907632, 0.13826743468919675, 0.13799252669469492, 0.13768778997351694, 0.13709040925819183, 0.13640273618103618, 0.13621126800304736, 0.13576464328470714, 0.13559977910618623, 0.13532930511159572, 0.13491936166524912, 0.1346916153061677, 0.13445822567447185, 0.13433084894974665, 0.13411156749958683, 0.1338797902314951, 0.13369194987161556, 0.1333295711515904, 0.13310222788341, 0.13290592261460882, 0.1327809644352898, 0.13257740353027012, 0.13229564299045077, 0.13216907244752765, 0.13177605881902427, 0.13146164791622159, 0.13131210119193978, 0.13099446556192887, 0.130733262658062, 0.130247941213223, 0.13006211630784859, 0.1299170035834781, 0.12974448067783767, 0.1295868721355353, 0.12940991522998352, 0.1292450510514626, 0.12897901105678342, 0.12879600778771622, 0.12852271215681849, 0.1283026245248566, 0.1279813610767364, 0.12771290253665105, 0.12760366490247216, 0.1274714510869346, 0.12714091654809076, 0.1269849203693925, 0.1268571405537663, 0.12667816819370936, 0.12642865492597236, 0.12619445911247446, 0.12583288657425135, 0.1255426611255104, 0.12538384331050495, 0.12527017167641474, 0.12496019477352338, 0.12457363059943648, 0.12441199114812382, 0.12387870188606233, 0.12373882934340523, 0.12348609134845999, 0.12321118335395816, 0.1230136688124539, 0.1228238129980692, 0.12256865645771778, 0.12232599573529827, 0.12212928737559607, 0.12181124865468412, 0.12158430847740474, 0.12109858394166469, 0.12047218068146548, 0.12010053087071665, 0.11989011742037947, 0.11966801433391244, 0.11917382488925078, 0.11895373725728889, 0.11883684089599046, 0.11855870817428038, 0.1179202121870503, 0.11774809237231088, 0.11756186437603544, 0.1172148031102494, 0.11694997238827327, 0.11633042167339157, 0.11615548022234494, 0.1159527254991273, 0.11578141186618994, 0.11560445496063818, 0.1152388515134048, 0.1150131206088285, 0.11468984170620317, 0.11449192407379788, 0.11433955571320889, 0.11412309589935626, 0.11331086773378264, 0.11314882519156895, 0.11261553592950746, 0.11233256611698504, 0.11219632139243721, 0.11191738248892508, 0.1115215472241145, 0.11118496632175522, 0.11105234941531665, 0.11088385741868649, 0.11070770669493678, 0.11053881160740558, 0.110211904886671, 0.10982775925799027, 0.10954116162735858, 0.10925778872393513, 0.10903165472845781, 0.10875271582494568, 0.10852093855685396, 0.1083649423781557, 0.10821741110837906, 0.10802957074849949, 0.10778973166238719, 0.10756561312141501, 0.10740074894289411, 0.1071262440392933, 0.1069682324060899, 0.10681143004558959, 0.10653450659658259, 0.10628862114695485, 0.10614834551339673, 0.10583595006509917, 0.10566826425027108, 0.10549775679913577, 0.1053014515303346, 0.10460813518056457, 0.10443279063861692, 0.10420786591584268, 0.1040224441013693, 0.10380275956030845, 0.1036318490182721, 0.10312476066477752, 0.10302398793952024, 0.10291757194164856, 0.10274424285420605, 0.10255962722153472, 0.10234840758939548, 0.1020037648690156, 0.10188969014402438, 0.10163292124006885, 0.10141928306252343, 0.10129795270131367, 0.1011056783415228, 0.10094403889021013, 0.10063204653281362, 0.10046315144528242, 0.10023097108628967, 0.10006207599875848, 0.09978958654966281, 0.09967188400656232, 0.09955176291805565, 0.09928572292337645, 0.0991700358347811, 0.0985049358480831, 0.09831024294288605, 0.09805428022073258, 0.09771568386386814, 0.09744561296017865, 0.0973077558720267, 0.09703808805923823, 0.09681840351817739, 0.09653341825114982, 0.09632985734613013, 0.09615652825868762, 0.09602149280684287, 0.09588806971860224, 0.09561638645130864, 0.0953926710012375, 0.09524110882245056, 0.09507342300762245, 0.09492266701063756, 0.09469088974254584, 0.09445346920183971, 0.09435108411297832, 0.09421080847942019, 0.0940044259380933, 0.09389196357670618, 0.09364769049068256, 0.09332803940616649, 0.09302169032138438, 0.09268752796443126, 0.09257788723935134, 0.09236465215270696, 0.09212803779380288, 0.09202484652313943, 0.09183095979974444, 0.09155484253253951, 0.09139844326294022, 0.09129404271957368, 0.09105984690607578, 0.09094174127207427, 0.09082041091086451, 0.09071641345839901, 0.09059790473349645, 0.0904447301911054, 0.09032219055719255, 0.09009484728901214, 0.08986347311182144, 0.08971392638753965, 0.08958534039011137, 0.08923021730630475, 0.08902544712858197, 0.08889645804025266, 0.08844419004929802, 0.08817532841831162, 0.08807092787494508, 0.0878286702434266, 0.08764365151985425, 0.0874489586146572, 0.08725668425486631, 0.08689148389853396, 0.08677055662822523, 0.08641462736261654, 0.08618043154911864, 0.0860260477340245, 0.0859123760999343, 0.08573985319429385, 0.08557660137937706, 0.0854746193814167, 0.08520777320493544, 0.08490948593817392, 0.08479782975858886, 0.08462611303475047, 0.08438345231233095, 0.08412063704485999, 0.08398479541121319, 0.08355348814711205, 0.08343739796761568, 0.0831576528823015, 0.08297223106782811, 0.08270296634594067, 0.08255986907607535, 0.0824345078058553, 0.08212735253927113, 0.0818996061801897, 0.08170451018409161, 0.08142315273517331, 0.08128005546530798, 0.08113171801372927, 0.08097531874412998, 0.08083222147426466, 0.08062704820564086, 0.08052305075317535, 0.08040131730106456, 0.07993131331046464, 0.07973903895067376, 0.07962133640757327, 0.07936295514001362, 0.079257345323944, 0.07908200078199634, 0.07892318296699088, 0.07878411660613585, 0.0786365853363592, 0.07847051188513522, 0.07815489170962944, 0.07797793480407766, 0.07780903971654649, 0.07764216008352043, 0.07743980845120384, 0.0773257337262126, 0.07716490045670199, 0.0770056795507955, 0.07663201428554153, 0.0764002370174498, 0.07619748229423218, 0.07595441848091163, 0.07563718594180173, 0.07548441449031171, 0.07534413885675359, 0.07512203577028656, 0.07499183740925416, 0.07473426232349657, 0.07452626741856556, 0.07442025451159491, 0.07419089578890936, 0.07408125506382944, 0.0738768879770077, 0.07369307852613843, 0.07354756271086693, 0.07335085435116473, 0.07322871780815292, 0.07291995017796463, 0.07281071254378575, 0.07270913363672642, 0.07254991273081993, 0.07238585473410108, 0.07228387273614073, 0.07217705364736801, 0.07205370783165312, 0.07194890419738555, 0.0718275738361758, 0.07160829238601597, 0.07149865166093605, 0.07138296457234071, 0.07123704566616818, 0.07097705203500441, 0.07086982985533068, 0.07074487167601166, 0.07063926185994203, 0.07049011822656127, 0.07037805895607518, 0.07024786059504279, 0.07009549223445379, 0.0698725829661847, 0.06959969042618801, 0.06943482624766711, 0.0692171571611114, 0.0690119838924876, 0.06883784862324303, 0.0686322722637182, 0.06847829153952507, 0.06833882208776901, 0.06807923154750628, 0.06788494173321026, 0.0677067755549554, 0.06759874719347961, 0.06746653337794206, 0.06727022810914089, 0.06712471229386939, 0.06693324411588057, 0.0667397604833866, 0.06651685121511752, 0.06636206430912235, 0.06616616213122221, 0.06605007195172584, 0.06594526831745827, 0.06579209377506721, 0.0654260872369328, 0.0652987105122076, 0.06503267051752841, 0.06483394670332107, 0.06468802779714854, 0.06446149071077019, 0.06431275016829045, 0.06414022726265001, 0.06394553435745295, 0.06367546345376346, 0.06350334363902403, 0.06333001455158152, 0.06312645364656183, 0.06299665837643047, 0.06282897256160237, 0.06259034274819314, 0.06240693638822491, 0.062301326572155286, 0.062148555120665264, 0.06197200130601452, 0.06184301221768521, 0.06170031803872091, 0.06152779513308046, 0.061385100954116166, 0.06098644405299839, 0.060692590786148186, 0.060575694424849745, 0.060324165702607596, 0.06020122297779372, 0.059987181709347276, 0.059868672984444725, 0.05971832007836087, 0.05961351644409331, 0.05950065099180516, 0.059221308997392, 0.059085467363745196, 0.05891616918531298, 0.05877952136986412, 0.05847518773958715, 0.05827404537997364, 0.05811482447406715, 0.05793061193229685, 0.057729066481782304, 0.057599674302551966, 0.05744085648754651, 0.057242535764240196, 0.05712805794834793, 0.05686403340817388, 0.05669916922965298, 0.056566552323214406, 0.056293659783217716, 0.056085261787385675, 0.05597441178960268, 0.055852678337491884, 0.055730541794480074, 0.05554189525279846, 0.05529681598497277, 0.0551517032606023, 0.054990063809289634, 0.05482116872175844, 0.054649451997920054, 0.05452489690950206, 0.054353986367465724, 0.054190331461647916, 0.054027482737632165, 0.05390373383101623, 0.05380013946945176, 0.05360302801884853, 0.053457915294478055, 0.05330111293397774, 0.053162852754924765, 0.052898828214750705, 0.05277145149002552, 0.0526464933107065, 0.05249654349552368, 0.05237440695251186, 0.05208942168548429, 0.0518886824167718, 0.05158031787748455, 0.05128888315604052, 0.051100236614358904, 0.05085556043743424, 0.05067175098656498, 0.050543971170938756, 0.050304132084826446, 0.05012596590657159, 0.04990547518370868, 0.049778501549884516, 0.04965958973408093, 0.04949029155564871, 0.04926052974206213, 0.049047294655417746, 0.04885502029562687, 0.04860026684617648, 0.04849909103001818, 0.04826731376192645, 0.048147192673419784, 0.04803231176662649, 0.047898485587484836, 0.04779811595312859, 0.04769411850066309, 0.04746919377788885, 0.047295864690446346, 0.047098350148942085, 0.04697782596953439, 0.04682223288173716, 0.04666502743033581, 0.04654651870543326, 0.04642156052611424, 0.0461909925307256, 0.04604144580644381, 0.045933820535869044, 0.04582458290169016, 0.04572219781282877, 0.04552548945312657, 0.045329587275226436, 0.04515907982409113, 0.04501154855431448, 0.04454033529101148, 0.04439885038475026, 0.044221490388297466, 0.044082424027442425, 0.04396270602983679, 0.04383492621421057, 0.04370956494399052, 0.04358702531007767, 0.04345924549445145, 0.04331372967917995, 0.04307227822946352, 0.04296465295888876, 0.042758673508462894, 0.04255470951254217, 0.04242692969691595, 0.04227415824542593, 0.042160889702236755, 0.041951685524602655, 0.04183357989060113, 0.041699753711459474, 0.041591322259082644, 0.04146475171615951, 0.04129948444673758, 0.04107979990567673, 0.04092098209067127, 0.04080247336576871, 0.04066743791392397, 0.04053844882559466, 0.04026837792190517, 0.04015228774240879, 0.04000233792722597, 0.039809660476534066, 0.03967784975189755, 0.039539186481943545, 0.03933885030413208, 0.03921913230652645, 0.03903250121934997, 0.038843048495866304, 0.03873784177069771, 0.03858869813731695, 0.038481072866742176, 0.03836054868733448, 0.03820132778142799, 0.038030417239391656, 0.0377954152440917, 0.037694239427933394, 0.037500755795439426, 0.037223026164630385, 0.03707106089494242, 0.03695335835184192, 0.03676068090115002, 0.036583320904697215, 0.03646884308880496, 0.03635315600020961, 0.03622013600287001, 0.03607462018759851, 0.0358791211005994, 0.0355493927435576, 0.0354066985645933, 0.03528778674878972, 0.03517330893289746, 0.03505439711709388, 0.03488792057496886, 0.03476860566826425, 0.034644050579846264, 0.03447031840150272, 0.034337701495064155, 0.034212743315745135, 0.0341083427723786, 0.033975322775039, 0.03379554423318003, 0.03360649460059738, 0.033473071512356754, 0.03329006824328955, 0.033156242064147884, 0.03292809261416542, 0.03279587879862788, 0.03249597916826223, 0.0323540911711, 0.03223195462808818, 0.03208885735822285, 0.03198768154206455, 0.03184780899940746, 0.031703099365938014, 0.03147817464316378, 0.03128428791976879, 0.03108717646916556, 0.030924327745149808, 0.03082153956538739, 0.03050793484438676, 0.03040434048282228, 0.030264871031066214, 0.030162485942204827, 0.03001011758161583, 0.029832354494262, 0.029529230136688126, 0.029427248138727765, 0.02924706650596776, 0.029144681417106372, 0.029041490146442923, 0.028895571240270392, 0.028739575061572136, 0.028607361246034593, 0.028469101066981615, 0.028323988342611142, 0.028205882708609617, 0.028051498893515478, 0.027877766715171937, 0.027720158172869564, 0.027593587629946428, 0.027487574722975777, 0.02724289854605112, 0.027072794185816845, 0.026906720734592857, 0.026779747100768695, 0.026622944740268377, 0.02652136583320905, 0.026381090199650924, 0.026253310384024703, 0.026135607840924207, 0.025989285843850646, 0.02588166057327588, 0.025773229120899053, 0.025661976032215025, 0.025506382944417795, 0.025347565129412334, 0.025138764042679264, 0.024996472954615996, 0.024880382775119617, 0.02476066477751398, 0.024632884961887754, 0.024499864964548156, 0.024302350423043902, 0.02415199751696005, 0.023996807520063848, 0.023808967160184293, 0.02367312552653749, 0.023505842802610418, 0.02330953753380925, 0.023001172994521996, 0.02284316136131859, 0.02270530427316664, 0.022594051184482614, 0.0224400704602895, 0.022313499917366364, 0.022193781919760725, 0.02209059064909728, 0.02191564919805065, 0.021786660109721342, 0.021669763748422905, 0.02149079138836599, 0.02136583320904697, 0.021263045029284555, 0.021094553032654395, 0.020965160853424057, 0.020836977946896804, 0.020637851041788433, 0.020522163953193083, 0.02039599650117098, 0.020253302322206682, 0.020150917233345292, 0.02004006723556229, 0.019935263601294727, 0.019821591967204524, 0.01971195124212461, 0.01959223324451897, 0.019463647247090692, 0.01935239415840666, 0.01924315652422778, 0.019102880890669655, 0.018973488711439317, 0.018809833805621505, 0.018681247808193226, 0.01855508035617112, 0.01843495926766445, 0.01832491545168351, 0.01811651745585147, 0.01800002418545406, 0.017843624915854773, 0.017719069827436786, 0.017612250738664077, 0.017475602923215216, 0.017360318925520896, 0.017256724563956417, 0.017139022020855925, 0.017037040022895564, 0.016920143661597126, 0.0168088905729131, 0.01666579330304777, 0.01655937730517609, 0.01639572239935828, 0.016163542040365523, 0.01602246022500534, 0.015918059681638806, 0.01581446532007433, 0.015708452413103677, 0.015593974597211418, 0.015452086600049177, 0.015312617148293111, 0.01521144133213481, 0.015107846970570334, 0.014998609336391449, 0.01484301624859422, 0.014667671706646566, 0.014545938254535781, 0.014381477166915912, 0.014269820987330853, 0.014139622626298457, 0.013990478992917693, 0.01383609517782355, 0.0137300822708529, 0.013589403546393748, 0.013449531003736652, 0.013307643006574412, 0.013195986826989354, 0.013059742102441521, 0.012955341559074986, 0.012837235925073463, 0.012555475385254129, 0.012430114115034082, 0.012256381936690543, 0.012094742485377877, 0.011914560852617873, 0.011810966491053397, 0.011701728856874514, 0.011544926496374197, 0.011351442863880234, 0.011231724866274594, 0.011098301778033965, 0.010981808507636557, 0.010874989418863848, 0.010739953967019102, 0.010632731787345364, 0.01052389724406751, 0.010385637065014532, 0.010279624158043881, 0.010162727796745444, 0.01004905616265524, 0.009932562892257833, 0.009810023258344989, 0.009680227988213622, 0.00957018417223268, 0.009467395992470262, 0.009359367630994465, 0.009217076542931196, 0.009101792545236876, 0.00898449309303741, 0.008854697822906044, 0.008732561279894229, 0.008627757645626665, 0.008526178738567335, 0.008420165831596684, 0.008290773652366345, 0.008185163836296723, 0.008034407839311843, 0.007925976386935018, 0.007819963479964366, 0.007712338209389599, 0.007524497849510043, 0.007386237670457064, 0.007256442400325697, 0.007141561493532406, 0.00702909913214529, 0.006907768770935534, 0.006764671501070206, 0.006620364958501792, 0.006487748052063221, 0.006376091872478162, 0.006258389329377668, 0.0061374620590689405, 0.006012906970650951, 0.005905281700076185, 0.005797253338600388, 0.005622311887553762, 0.005496144435531656, 0.005391340801264093, 0.0052704135309553654, 0.0051381997154178235, 0.0050354115356554055, 0.0049072286291281545, 0.004785898267918399, 0.004649653543370566, 0.004546865363608148, 0.004416263911674722, 0.004211896824852973, 0.004051466646243394, 0.0039361826485490746, 0.0038313790142815106, 0.003673770471979136, 0.003531882474816896, 0.0034032964773886157, 0.0032956712068138486, 0.003032452848441852, 0.0028518681247808194, 0.002744242854206052, 0.0026426639471467213, 0.0025031944953906554, 0.0024020186792323536, 0.0022234494100764664, 0.002115017957699641, 0.0018913025076284953, 0.0017647319647053608, 0.0016635561485470588, 0.001545047423644506, 0.0013362463369114368, 0.001216528339305797, 0.0010968103417001568, 0.0009936190710367096, 0.0008739010734310694, 0.0007715159845696803, 0.0006650999866980003, 0.00048491835393799657, 0.0003107830846934292, 0.0001709105420363346, 2.216999955660001e-05], \\\"y\\\": [0.8723586075316335, 0.8723917253605943, 0.8725836007351413, 0.8736405175568771, 0.8763742786550051, 0.8781371022617219, 0.8799975723367776, 0.8821320123645796, 0.8841548892355133, 0.8855068688985283, 0.8872044350684394, 0.8879340556068921, 0.8895450435218039, 0.890963471500956, 0.8918224253864373, 0.8922724399494311, 0.8929670332277636, 0.8934903772790447, 0.893698558550712, 0.8937976843431613, 0.8940985373120137, 0.8941744910486217, 0.8945281818163796, 0.8946591691494459, 0.8947660522343505, 0.895023170749132, 0.8952818354696027, 0.895458772319735, 0.8954781890826428, 0.8955736858690715, 0.8956609459699018, 0.8957044799239166, 0.8957170385581051, 0.8957867737045933, 0.8959047023060989, 0.8959981153369233, 0.8961129945931658, 0.8962108383822176, 0.8962063775225778, 0.8962703382414504, 0.8963839399011234, 0.8965002452940799, 0.8965962898914012, 0.8966395112016293, 0.896656246473265, 0.8967812792222921, 0.8968847371916024, 0.896934954751357, 0.8970922737056531, 0.8972732573929992, 0.8973379639803639, 0.8973810339267067, 0.8973861394845025, 0.8974893205964153, 0.8975259124705002, 0.8975908940170181, 0.8976145006479791, 0.897686344252638, 0.8977665964162268, 0.8977718352576447, 0.8978344256195352, 0.8978824390949359, 0.8979989098808083, 0.8980566994438779, 0.8980628321582291, 0.898081214996561, 0.8981673852840324, 0.8981828003552608, 0.8981681114507586, 0.8982299943346006, 0.8983234456525668, 0.8983438418625732, 0.8983515522993031, 0.8984143713499128, 0.8985498446908393, 0.8985769097542813, 0.8985870277282831, 0.8986132234977259, 0.8986534820706482, 0.8986730185265264, 0.8987187206134354, 0.8987295170779296, 0.8987308059583624, 0.8987402474049161, 0.8987223493132048, 0.8987078784418743, 0.8987214141155043, 0.8987850575514982, 0.8987830724555335, 0.89888828295199, 0.8989021938761709, 0.8989161859633279, 0.898974061677497, 0.8989774327192434, 0.8990021112217317, 0.8991083728684305, 0.8991399676375404, 0.899230888445846, 0.899221467643185, 0.8992077528947023, 0.899226997537262, 0.8992223508020533, 0.8992113939736678, 0.8992527380628724, 0.8993030462089078, 0.8993115046271333, 0.8993199612935985, 0.8994042025549015, 0.899492823350986, 0.8995229002985831, 0.8995261075252403, 0.8995885188098436, 0.8995765216278631, 0.8996995178877265, 0.8997117993984001, 0.899710260172299, 0.8997589044527244, 0.8998996942831436, 0.8999244520946135, 0.8999486828670366, 0.9000579652566673, 0.9000523190361898, 0.900128077995223, 0.9001252893956946, 0.9001526924054676, 0.9001849340301437, 0.9001960273582287, 0.9002308749479685, 0.9002250060961239, 0.9002753677041937, 0.9003324211407766, 0.9003284766568521, 0.9003274290512558, 0.900378091363436, 0.9004424670314678, 0.9004581609900821, 0.9005118471945673, 0.9005074614907285, 0.9006078781266919, 0.9005912270978745, 0.9006428314534471, 0.9006824858905035, 0.900737885421961, 0.9008325290811444, 0.9009935801707359, 0.9010914729751817, 0.9011008244782146, 0.9013204265170923, 0.9013595125755428, 0.9013600580322184, 0.9014032018297112, 0.9014316537830613, 0.9014496905018299, 0.9014160995110347, 0.9013933946446819, 0.9013832851834006, 0.9014302266233016, 0.9014963399594212, 0.9016042275176769, 0.9016751354577671, 0.9017592187751967, 0.9017895245597938, 0.9016122176658612, 0.9015973160247269, 0.9015777394216752, 0.9016185099173709, 0.9016215840449732, 0.9017043767643848, 0.9017041099616431, 0.901711454250776, 0.9018084367362523, 0.901837942393378, 0.9018968184994883, 0.9019392522478051, 0.9019558268546419, 0.901999146602676, 0.9020573037157839, 0.9021505162331517, 0.9022142832326789, 0.9022336050539094, 0.9023555378075552, 0.9023964799245698, 0.9023824245583985, 0.9024002253788693, 0.9023598718258427, 0.9023669168778286, 0.9023699514485408, 0.9024274458193752, 0.9023634021632588, 0.9024747257810951, 0.9024391289474338, 0.9025200609067277, 0.9025464245673269, 0.9025981621580709, 0.9026105597561842, 0.9026158638959773, 0.9026106028302733, 0.9025849333389744, 0.90258919124658, 0.9027016738655068, 0.9027214625317179, 0.9027433388936477, 0.9027251659524191, 0.9027496211066509, 0.9029500502120476, 0.9028840712202342, 0.9028950377195731, 0.9029312960318506, 0.9028995851245893, 0.9029437174521173, 0.9029697066803953, 0.9029689193312501, 0.9028985239982016, 0.9028933824645006, 0.9028746235570052, 0.902872396347831, 0.9028161475849984, 0.9028428027867167, 0.9028285182331508, 0.9028008992741168, 0.9027680612480742, 0.9028059140554374, 0.9028518405830367, 0.9028775744649955, 0.902835922216642, 0.9028206167743917, 0.9027566214281051, 0.9027406550266232, 0.9026708597324432, 0.9027803665385885, 0.9027374587457262, 0.9026320468299533, 0.9027143082434046, 0.9026586344403574, 0.9026336128747986, 0.9026620957381697, 0.9027567461398585, 0.9027458352680038, 0.9027844317897236, 0.9029956302453764, 0.9030032921893104, 0.9030423165243746, 0.902980865069716, 0.9029126435395112, 0.9028551608510389, 0.9028277434835968, 0.9028185027277311, 0.9028656741900233, 0.9029808834697047, 0.9030422104395174, 0.9031182557689115, 0.903199295595067, 0.9032006353379948, 0.9031165782396303, 0.9030922969361698, 0.9030643670723618, 0.9029830961913409, 0.9029626788842574, 0.9027773242562688, 0.9030187579022324, 0.9029589045713713, 0.9029768984575208, 0.9029860763664319, 0.902916519169465, 0.9030777752521437, 0.9030657798211389, 0.9031513186023882, 0.9031514074611476, 0.903193941856851, 0.9031730573941663, 0.9032240309592, 0.9031591242707364, 0.903131634819533, 0.9031026039149751, 0.9030744863965656, 0.9029845429223798, 0.9029537299899845, 0.902891627192206, 0.9030195861801059, 0.903119535927099, 0.903027579599746, 0.9029201743001082, 0.9030789095446051, 0.9030048462448628, 0.902960997697018, 0.9028945582926208, 0.9028555012647566, 0.9028170310993491, 0.9028514920461769, 0.9029289928551029, 0.9029530087789774, 0.9032074547018565, 0.9031673995228878, 0.9031379607552322, 0.9031094161645584, 0.903308457245682, 0.9032421469225573, 0.9032776068502799, 0.9031421064643715, 0.9033431530083914, 0.9038775603575002, 0.9037621822938955, 0.9039581459920016, 0.9039282128200112, 0.9039178258798592, 0.9038807012123868, 0.903926445120301, 0.9038629176993419, 0.903761228016262, 0.9039214726452719, 0.9038332243104513, 0.9038155215241428, 0.9039700313737227, 0.9039886223798155, 0.9039950698271384, 0.903917657123839, 0.9039775966456269, 0.9040327133634335, 0.9041380339301452, 0.9043761061401816, 0.9044246986060691, 0.9043170848761558, 0.9044663372420239, 0.9044665654187237, 0.9044869018483097, 0.9045553730953517, 0.9045004575758819, 0.904474764464169, 0.9045589764069347, 0.90456283900708, 0.9046235583396757, 0.9046592630037689, 0.9045757102951909, 0.9046018117369042, 0.9047509423886742, 0.9048466944687653, 0.9048029866887028, 0.9048632035802882, 0.9047884222450427, 0.9047821134334685, 0.9047496262246515, 0.9048085274797664, 0.9047006782157774, 0.9048392974622994, 0.904905632970946, 0.9050051017869363, 0.9050192173136906, 0.9051001917308811, 0.905161934449868, 0.905155236086814, 0.9052191243218889, 0.9051712181092746, 0.9051446371883434, 0.9051700151463807, 0.905255904903527, 0.9052034686532439, 0.9051423636753201, 0.9051187868355832, 0.9050873752065448, 0.9051847847911375, 0.9050868465956726, 0.905062895324406, 0.9050622547996088, 0.9050774448107411, 0.9050419918131386, 0.9050802862027368, 0.9051203553369109, 0.9050211484749874, 0.9050562468254475, 0.9050143910850328, 0.904927530739595, 0.9049592472046099, 0.9050786967104697, 0.904997965029864, 0.9048422491413746, 0.9048425766200585, 0.904778771826189, 0.9046516718779444, 0.9047157044173529, 0.9046700410549952, 0.9045792785039904, 0.9046277236634731, 0.9045812511446587, 0.9046060385221961, 0.9045811208682839, 0.9045589017370427, 0.9045664481440443, 0.9045347702373916, 0.9045092275019209, 0.9044866886051148, 0.9044941943125232, 0.90445447298811, 0.9044651936766201, 0.904496036482528, 0.9045374353626211, 0.9045315568486515, 0.9045523306989015, 0.9045576198079621, 0.9045530967021693, 0.9048157298443096, 0.9047387855379633, 0.9046584381065904, 0.9045612863713893, 0.904620388286704, 0.9045900604438833, 0.9047008191621061, 0.9046150591191608, 0.9047143307220911, 0.9046921786347794, 0.9047583958145275, 0.9047231435103039, 0.9046519640804803, 0.9046035573377559, 0.9046099297145322, 0.9044720408240372, 0.9044967604900491, 0.9045552753687733, 0.9045273198254571, 0.904485024260752, 0.9045721678197333, 0.9045260221134358, 0.9044612377834331, 0.9044877217539482, 0.9044576868812153, 0.90454181340393, 0.9045675104195949, 0.904542381516936, 0.9045578775915855, 0.90452592677642, 0.9045309722971564, 0.9044223462378779, 0.9043418886156692, 0.904212662126646, 0.9043361739306215, 0.904321545717941, 0.9042643261364393, 0.90413202215835, 0.9040142202081513, 0.904108216809267, 0.9040649835654071, 0.9039981573229467, 0.9039714871457104, 0.9038907090889402, 0.9040120810108704, 0.9041948905879951, 0.9043193150480262, 0.9043001397615177, 0.904198450471941, 0.9040819849992323, 0.9040386496627222, 0.9040419728089416, 0.903997797145254, 0.9038305771719826, 0.9039617321935709, 0.9038820449377791, 0.9039405831079516, 0.9038908476981138, 0.9038816945760293, 0.9037462927244069, 0.9037300973774985, 0.903689115220032, 0.9037507840485726, 0.903817496751275, 0.9037460995162124, 0.9037135690545307, 0.9036456453224085, 0.9036366995227724, 0.9036968223535535, 0.903761081670051, 0.9036621352049751, 0.9036010220819019, 0.903592454755505, 0.9037326068371804, 0.9040102497202136, 0.9039906189551895, 0.9039612898131475, 0.9041690536916264, 0.9041761748639752, 0.9041659822325389, 0.9041615767086221, 0.9042661287158318, 0.9040844564118912, 0.9040727546872506, 0.9040825321166811, 0.9040343830640656, 0.9039640445637928, 0.903966662681673, 0.9038801989845633, 0.9039844000515248, 0.9043389647078859, 0.9043524417595685, 0.9042738121609489, 0.9043097575165449, 0.90420916936787, 0.9041165438565341, 0.904162455588318, 0.9040518654359363, 0.9039699604445753, 0.9039866937967229, 0.9039545295220185, 0.9038493480462413, 0.9038749220933165, 0.9038674966307634, 0.9038385886446922, 0.9038172822837031, 0.9036792723804834, 0.9036365996364181, 0.9037294563843237, 0.9035938387269853, 0.9034786928548061, 0.9034597696058612, 0.9039890850809635, 0.9040217596918332, 0.9038943672541935, 0.9038234902875797, 0.9042817089914735, 0.9041228101860214, 0.9040613507665592, 0.9039492174109663, 0.9039530849993435, 0.9039111884093348, 0.9038791271490868, 0.9037955625644023, 0.9036471531582322, 0.9036041154375705, 0.903686495069596, 0.9034400702848036, 0.9034213383899775, 0.903465174706189, 0.9034369135409175, 0.9033081311343804, 0.9032932034739104, 0.9032160189662276, 0.9030862376243526, 0.9030751723716217, 0.9029423428658062, 0.902947075375681, 0.9028447563811017, 0.902854430360732, 0.9028662432361068, 0.9027665121122148, 0.9026324186102076, 0.9026105314810074, 0.9026893489463632, 0.9027041691808003, 0.9025892126801047, 0.9027096331062904, 0.9027295091867892, 0.9026642358132124, 0.9026849629640431, 0.9026070233470518, 0.9025439043317502, 0.902338576702627, 0.902189718884826, 0.9021459640016342, 0.9021894032757128, 0.9022881104412712, 0.9021662823748919, 0.90217933020119, 0.9021011679249644, 0.9020981380309782, 0.902039655516466, 0.9020725857543669, 0.9020316105387383, 0.9020186361155884, 0.9019892691348764, 0.9019803337726678, 0.9020398146662706, 0.9019850603283927, 0.9018960681433612, 0.9016912676993132, 0.9016875128529922, 0.9017728348046853, 0.9016832047395755, 0.9017182694411201, 0.9017150629651476, 0.9016389210678317, 0.9017338331013905, 0.9016707154878134, 0.9016395567784443, 0.9016159522219038, 0.9016089838386186, 0.9015755212786575, 0.901503581509945, 0.9014142595452515, 0.9014709673195661, 0.9014213152187727, 0.9013740588469211, 0.9014940382721087, 0.901637531066372, 0.9016409034107402, 0.9016571703050982, 0.901640296076096, 0.9016144741252471, 0.9015864976934725, 0.9014630497914401, 0.901465039810501, 0.9014798743618235, 0.9013998941037967, 0.9013302847466226, 0.9013654920389842, 0.9011907035222585, 0.901234849946355, 0.9010725701833968, 0.9010794512082282, 0.9010934216012457, 0.9010347701164116, 0.9009549760401807, 0.9010209522440152, 0.901007270972095, 0.9009966634747099, 0.9010465985332655, 0.9010156901321751, 0.9009254848353044, 0.9008435975061861, 0.9011425354064706, 0.9010853775405336, 0.9012267325097156, 0.9011668629733139, 0.9010156271820797, 0.9009330763549274, 0.9007828256511797, 0.9006516030277072, 0.9005317567674536, 0.9003285938352729, 0.9001877750162073, 0.9000654566040406, 0.9001364602668162, 0.9000397925811706, 0.9001263007238928, 0.9000103481252052, 0.8999226394767356, 0.900079223342688, 0.8999635986744897, 0.8998239215193058, 0.8997416192998757, 0.899647880965709, 0.8995847308447368, 0.8995034012432662, 0.8993512368326536, 0.8994483338332456, 0.8994022931420282, 0.899336628381031, 0.8992589957802272, 0.899406674611977, 0.8994028297673476, 0.8997168758588253, 0.8995464090795927, 0.8994624298393589, 0.8994672333659037, 0.8993863569106039, 0.8993144628126127, 0.8992447345649452, 0.8994071390110383, 0.8996565659972233, 0.8995190425538906, 0.8994369280418862, 0.8993407082063833, 0.8992502378399602, 0.8990811198308262, 0.8993261689230359, 0.8991974656209314, 0.8993286480946294, 0.8991528483896668, 0.8990787029056293, 0.8990204839284961, 0.8989304566216187, 0.8987281181619255, 0.8987105298690277, 0.89856762593056, 0.8986096240118184, 0.8984362119163678, 0.8984525181220192, 0.8984272148694019, 0.8983412838090441, 0.8983005183580658, 0.8981894121701428, 0.8981596166351689, 0.8981103350071051, 0.8980519365137027, 0.8979622088110925, 0.8978821871331832, 0.898034110348605, 0.8979052724617249, 0.8979545065027721, 0.8978976342524096, 0.8978328452354134, 0.897716073704019, 0.8977800375202095, 0.8976599415740381, 0.8976196737896087, 0.8974047261027034, 0.897309685678924, 0.8974473374236371, 0.8976393050708127, 0.8977165470153919, 0.8976406730521169, 0.8980817649117657, 0.8982001121393408, 0.8982315525169222, 0.8982503306376428, 0.898085027588761, 0.8979758335717632, 0.898014248208065, 0.8979236753519667, 0.8978576801847155, 0.8979742015037783, 0.8979210531009009, 0.8978482598427595, 0.8976788740697075, 0.8975757492702581, 0.8974629842471773, 0.8972973201785066, 0.8972820372997121, 0.8969338680556665, 0.8967610644777814, 0.896508690780467, 0.8964346167626003, 0.8961728037424442, 0.8959827353655246, 0.8958668610689894, 0.8958922776292586, 0.8958193145065011, 0.8956445515567292, 0.8955245029647715, 0.8956004171876962, 0.8955918200256787, 0.8954821899721681, 0.8959529428339967, 0.896054263258002, 0.8961360745399549, 0.8961982409110043, 0.8961138916645133, 0.8959540850596289, 0.895883874420264, 0.8958263597859512, 0.8956854446809296, 0.8956282627728062, 0.8957757821709124, 0.8955492679472187, 0.8954999898373754, 0.8954922252823724, 0.8953230005242815, 0.8952591813073297, 0.8951925514928766, 0.8950447791247363, 0.894865321023496, 0.8951270821515432, 0.8949353231196393, 0.8950896771990068, 0.8951901597036256, 0.8951954483316772, 0.8952178101749214, 0.895471818896034, 0.8952512482736641, 0.8950429535764208, 0.8949081125643107, 0.8950944666506594, 0.8951355002668909, 0.8951285088238777, 0.8952214607104209, 0.8950590791990575, 0.8949327389499704, 0.8951296812413465, 0.8950136695345182, 0.8950930463738954, 0.8950668398907294, 0.8949537664528177, 0.8949035593269425, 0.895139861069806, 0.8951197343545494, 0.8951843251934577, 0.8950334166469025, 0.8948580415063607, 0.8947537605403297, 0.8947713027357352, 0.894634201524232, 0.894763700280668, 0.8946691705991512, 0.8949111441101468, 0.8946556733801873, 0.8949786744835343, 0.8951209026735036, 0.8949728793825843, 0.8948585696558062, 0.8947291773378729, 0.8946134623176406, 0.8945213791989787, 0.8943843451396735, 0.8942688034897108, 0.8941491470630096, 0.8940315180327116, 0.8940907053169219, 0.8937570744226053, 0.8937125998354104, 0.8939768332793542, 0.8937868158158482, 0.8938311621013795, 0.8935581183461639, 0.8934038498586372, 0.8932815082456113, 0.8930709650408206, 0.8930166171251981, 0.892980586779484, 0.8929330139957617, 0.8928153709933546, 0.892660877368949, 0.8925669186064178, 0.8924100503630563, 0.8926672849014075, 0.8926130656608995, 0.8925266230138572, 0.8926043058668671, 0.8925359579729053, 0.8923722819266662, 0.8921018372547938, 0.8922646417546359, 0.8921329825814902, 0.8919964017795724, 0.8919308964357009, 0.8919683335014434, 0.8917316351560952, 0.8915652901403042, 0.8914800499233007, 0.891704282255999, 0.8916378577187731, 0.8914429941148877, 0.8913613546115232, 0.8917943591614202, 0.8918093054457261, 0.8917614736080114, 0.891650053511846, 0.8917363657396047, 0.8916216781929875, 0.8915656548603842, 0.8917286481541095, 0.8916473511455671, 0.892373392354239, 0.8922102016310317, 0.8921863784990829, 0.8919877499364357, 0.8920253391074049, 0.8919750165609918, 0.8919028526395113, 0.8919653114283986, 0.8918064360573987, 0.8917557793528862, 0.8915688878246294, 0.8917732169582588, 0.8917493959067222, 0.8916188681226989, 0.8914472241631851, 0.8912699691037149, 0.8911445772528034, 0.8911162748340966, 0.8910340338232197, 0.8911212230719875, 0.8910970427953434, 0.8911782059910991, 0.8913543088810086, 0.8913536737718066, 0.891343714421465, 0.8911935250602984, 0.8910129196873354, 0.8909120189275872, 0.8908500363908711, 0.8906991977659074, 0.8906631410732642, 0.8906268486468284, 0.8906334785919591, 0.8904208611205577, 0.8904944279051001, 0.8904576220067638, 0.8903421356031987, 0.890076734995156, 0.8899442746053621, 0.8897784317119612, 0.8896632814354166, 0.8895572352199539, 0.8895825356654806, 0.8895772993273158, 0.8894468191710899, 0.8893974245366617, 0.8892947541133182, 0.8894811857710002, 0.8892691501503306, 0.8892819198206343, 0.8892827686841771, 0.88954468266436, 0.8894469558342525, 0.8893108385731183, 0.8895597210462207, 0.8895983149039309, 0.8894234552219512, 0.8893032823827859, 0.8892632752739009, 0.8891291647973559, 0.8892331839290626, 0.8896021309661699, 0.8893466285656665, 0.8890602659772411, 0.8890049048569049, 0.8888302155371044, 0.8888861501653094, 0.8888522775200337, 0.8888288574081601, 0.8887251484840306, 0.8887026923684364, 0.8886840699881712, 0.8885363440881741, 0.8887815107049722, 0.8885909688850707, 0.8885669457650092, 0.8886848308293163, 0.8883929025197613, 0.8882733634625767, 0.8886121142062137, 0.8886526253175029, 0.8883883515108937, 0.8882870963030423, 0.8881195548533446, 0.8878498698058405, 0.8877480347681546, 0.8876287408537643, 0.8875494669576386, 0.8874809934110491, 0.8873353957394389, 0.8872862809345738, 0.8872026609679236, 0.887025800257318, 0.8870436103245652, 0.8870022200026118, 0.8867298426980632, 0.886798651734879, 0.8869895858216006, 0.8869053354316772, 0.8865313289494903, 0.8865620048452104, 0.8864049394011985, 0.8864044643887798, 0.8863897272241557, 0.8862828353701541, 0.8862791575615457, 0.8862242691025674, 0.8862459599989797, 0.8860876167669917, 0.8858971448656644, 0.8858101803904029, 0.8858853457357967, 0.8859884009148055, 0.8857788627374221, 0.8858784391129891, 0.8858316458069222, 0.8856679743038135, 0.8852744525711125, 0.8852183807800209, 0.8849662593744834, 0.8849423628408958, 0.8847347435265408, 0.884493496942748, 0.8843850226785341, 0.8843558381419312, 0.884552641007463, 0.8844236837433402, 0.8842579485021235, 0.8842528940611584, 0.8841867872009774, 0.8836642318562837, 0.8835444899918324, 0.8833496480678693, 0.8832142217654981, 0.8835761762940163, 0.8834814097765724, 0.8834519852588734, 0.8829984388476287, 0.8830669146083359, 0.8828070147601915, 0.8825576813624623, 0.8835079030663697, 0.8832574545177773, 0.8835544384305286, 0.8836693776121088, 0.8835048648342558, 0.8834985699314661, 0.8836475620744996, 0.8835340711253195, 0.8833568207728217, 0.8837412176670201, 0.8836909317624801, 0.8842705167173253, 0.8842339553244317, 0.8840536672482131, 0.8839583892340399, 0.8840690812311964, 0.8838771712415917, 0.8837476115293889, 0.8837188476845189, 0.8836226575578353, 0.883630233704598, 0.8831465246879006, 0.883025207963597, 0.8832283625613853, 0.8830700679984795, 0.8828588293287691, 0.8826734394477752, 0.8829280723735904, 0.8830257459891279, 0.882871267228587, 0.8830450138831072, 0.8826533249480948, 0.8825351960731431, 0.8823764791891524, 0.8822520014299797, 0.8820597970589831, 0.8820706115581757, 0.8821804268818797, 0.8819997554670579, 0.8821824243909269, 0.8820172286876051, 0.8817608074100426, 0.8816347996769658, 0.8817817873016223, 0.8816665268030264, 0.8814567601781114, 0.8812647471038019, 0.8811665770302645, 0.8810161915743268, 0.8810108841442322, 0.8807858718461545, 0.8807033337140221, 0.8805290867553266, 0.8804118565023228, 0.8805230170250593, 0.880148383629935, 0.8799218613831803, 0.8797469789890046, 0.8795488164840134, 0.8793637852228551, 0.8794611900778785, 0.8795425684565696, 0.8795110085161955, 0.8794588654328639, 0.8794672457808222, 0.8796386125202886, 0.879447108132319, 0.8795343151522207, 0.8791858542645506, 0.8791034660060298, 0.878963722810827, 0.8794539380460384, 0.8793613580674091, 0.8791227970866825, 0.8790926099158092, 0.8792144685692614, 0.8790522802903353, 0.8789265644347081, 0.8786454242241201, 0.8785807712762135, 0.8784043541176216, 0.8782758429952213, 0.8784626414930367, 0.8785276103347354, 0.8783542299960181, 0.8782877910233988, 0.8781353352650219, 0.8781668020314503, 0.8779907002268595, 0.877664617999774, 0.8773088404586005, 0.877225011410315, 0.8770158151122184, 0.8770335165107184, 0.8768872366790582, 0.8769962378475025, 0.8767812717683352, 0.8765940886502884, 0.8765721307053734, 0.8765943813700167, 0.8764477216163854, 0.8761678662496388, 0.8761016436422305, 0.8761557392566416, 0.8757608714941602, 0.8752455770646947, 0.8752312351850009, 0.875300109688653, 0.87533441987761, 0.875967794279003, 0.8755132507302584, 0.8754144991813642, 0.8753173850332003, 0.8753236277532753, 0.8751215341585926, 0.8750274498321639, 0.8748425845200039, 0.8750380373763129, 0.8750285547739644, 0.8750729867492886, 0.8749137290644806, 0.8748153657867528, 0.8749573456706847, 0.8748261363726683, 0.8747085118518617, 0.8746843476252054, 0.8746230554447547, 0.8744967426493119, 0.8743916520663163, 0.8741390005989561, 0.874149997185643, 0.8740364518353362, 0.8738330070772474, 0.8738999692826696, 0.873522605620857, 0.8735941518884527, 0.8737265575441469, 0.8737340148592928, 0.8736069783556841, 0.8734560175864358, 0.8736600890458363, 0.8735183152883109, 0.873721975056125, 0.8736214507065022, 0.8736718443350782, 0.8735510745366052, 0.8745121419384043, 0.8744761783742123, 0.8743744297287582, 0.8747604507270372, 0.8747618915391664, 0.8747852723219498, 0.8748715950057765, 0.8746580404077022, 0.8744546302658556, 0.8754458977407847, 0.8752996590982545, 0.8752082114077342, 0.8751189731979433, 0.8749788314987299, 0.8749589481671064, 0.8749110617876085, 0.8745446887947912, 0.8744580482329951, 0.874380637059025, 0.8742581422021629, 0.8741617899383284, 0.8740669982731221, 0.8740865945715978, 0.8740671614923112, 0.8751191445852036, 0.874925085337572, 0.8751396283347599, 0.8757827166827972, 0.8753635498279271, 0.8750363437190711, 0.8748702079907755, 0.8750280008017072, 0.8746834394452202, 0.8745506542000682, 0.8744479345559599, 0.8742086397222734, 0.8736318705111168, 0.8735384357749056, 0.8733948635634029, 0.8731540923749527, 0.8730452000012037, 0.8731997192167115, 0.8737768694528926, 0.8737061110436156, 0.8738298849735479, 0.8737064015037274, 0.8747728065505149, 0.8746999549357605, 0.8746868169535398, 0.8755729826540772, 0.875479163708866, 0.8755241641205794, 0.8749750989815483, 0.8748511802728933, 0.874869652626206, 0.875173509700841, 0.8750931401676995, 0.8749806976575623, 0.8747087370966977, 0.8746377225192317, 0.8745317876506216, 0.8743650869330282, 0.874463105946032, 0.8742954064325248, 0.8745957565230743, 0.8744171119562252, 0.8741495832757007, 0.8745607836684123, 0.87435592420432, 0.874241349029672, 0.8740179464204553, 0.8740128809084909, 0.8738627893275525, 0.8740672371957106, 0.8739223363160405, 0.8736985476118758, 0.8735291899848862, 0.8732748876212507, 0.8731143172059815, 0.8730811430604841, 0.8728364360516382, 0.8726201704310416, 0.8724733042438217, 0.8722319298921674, 0.872058016333727, 0.8719793967622531, 0.8719604799813081, 0.871663016753772, 0.8715016146393972, 0.871259967242065, 0.8712335796733996, 0.8711671177266577, 0.8710942000013553, 0.8712509492884168, 0.8714323219442673, 0.8716436967216192, 0.8714698923701809, 0.8713548426867399, 0.8711684016221891, 0.8708882541212101, 0.8708103806442945, 0.8709081300279441, 0.8707225913621263, 0.8707114594377343, 0.8704974300776356, 0.8704319052352781, 0.8702279698828779, 0.8704118908422913, 0.8703395169758488, 0.87014908108146, 0.8705594823645251, 0.8704877172971717, 0.870538845748487, 0.870313836064647, 0.8702191252674956, 0.8695407738455297, 0.8694246399543705, 0.8692122433519857, 0.8691237630861895, 0.869405413958908, 0.8692571107582289, 0.8690480488069022, 0.8688747567266439, 0.8685416893337685, 0.8683004814242892, 0.8680943976418785, 0.8679745087393923, 0.8678214173664972, 0.8680257471466263, 0.8677858083158239, 0.8676064509495762, 0.8682692484676692, 0.8682092518240775, 0.8684426502229222, 0.8681973797314522, 0.8681408347272653, 0.8679929883460964, 0.8677415033822753, 0.8676040599683397, 0.8676997314629109, 0.8680806550788104, 0.868252140803949, 0.8679840703621916, 0.8678483844273228, 0.8677118242923412, 0.8674961285033249, 0.8675617235862572, 0.8673489200826928, 0.8671973731935934, 0.8672059357849042, 0.8671140990987541, 0.8668910284699011, 0.8668144584979022, 0.8666602557938263, 0.8670085101300983, 0.8673126420547729, 0.867117787318898, 0.8671627986176417, 0.8669058469892369, 0.866949251409683, 0.866831284054573, 0.8668143560301723, 0.8666671886806488, 0.8669286146068034, 0.8672384367946268, 0.8671158710085362, 0.8670017122201789, 0.8668650439405662, 0.8671676006113093, 0.8672287878364849, 0.8681833643475999, 0.8679486614034314, 0.8675335442171943, 0.8674677917880645, 0.8671382980014318, 0.8669588983325764, 0.8668047601640876, 0.8666520282359065, 0.8664724932276922, 0.8663260684161773, 0.8661879202307133, 0.8662437609107226, 0.8664387928445975, 0.8663114156642631, 0.8660943391556175, 0.8661012391137958, 0.865940239919999, 0.8660440021780788, 0.8656588014199207, 0.8655115028558527, 0.8652362099047107, 0.8651356712955179, 0.8648361560964095, 0.865152212755712, 0.865194398612345, 0.8649860324522598, 0.8662207215272981, 0.8660439997094601, 0.8661963979416809, 0.8660333112861524, 0.8658286874526808, 0.8657722459498947, 0.8655665671023326, 0.8656375368396453, 0.8656148576331264, 0.8654500329758061, 0.8650072848779892, 0.8647371504008533, 0.8653520953991466, 0.865109739218314, 0.8652473530887232, 0.8668731607737785, 0.8666448303182943, 0.866452399423695, 0.8662353635955934, 0.8660171715823658, 0.8661520386328406, 0.8658967817018038, 0.8656952703854192, 0.8654454449057349, 0.8653594947884291, 0.8651876440423412, 0.8649641467745652, 0.864722710072242, 0.8650531469549707, 0.8652280892362332, 0.8651316692753385, 0.8662213661501119, 0.8659873269922144, 0.8658645976862683, 0.8658128170090558, 0.865557888087984, 0.8656538631552009, 0.8653945790021518, 0.8651343649542135, 0.865004661797158, 0.8648428946663597, 0.8648896669537349, 0.8647337752718866, 0.8646097385645644, 0.8644437179906287, 0.864195244269045, 0.8639995434311152, 0.8636671791003447, 0.8635153288300562, 0.8633589722726119, 0.8631001476991541, 0.8629195017875677, 0.862752644923527, 0.8625774377848218, 0.8624369768171182, 0.8623391807214946, 0.8621845893310753, 0.8623145141326033, 0.862149248798223, 0.8619944412264349, 0.8618979341019488, 0.8617319597719432, 0.862071332607651, 0.8620052848203849, 0.861899539156908, 0.8616477706661149, 0.8617811539050044, 0.8615604421681268, 0.8615957072571335, 0.8613438279518599, 0.8610260604186821, 0.8607678431333357, 0.8607490877010066, 0.8605356011942459, 0.8608088150048642, 0.8605066054804766, 0.8603151935016661, 0.8601965589499266, 0.8597688861738954, 0.8594371156643107, 0.8591457083378089, 0.8590755643893019, 0.8589529757719764, 0.8588160826673391, 0.8586020036195082, 0.8583702080145569, 0.8583070247741093, 0.8580379473686948, 0.8578209670696123, 0.8580382112333708, 0.8578421363990932, 0.8580892187459023, 0.8578193323242516, 0.8575315542828764, 0.8575111294617099, 0.8571846027149802, 0.8572387916515659, 0.8574802434371878, 0.8571382629762236, 0.8573524275235767, 0.8570512924092836, 0.8569190713351987, 0.8566269176332786, 0.8562941624089575, 0.8559575047670934, 0.8555788047486629, 0.855324295776575, 0.8556559545898705, 0.8554067528632735, 0.8551756517896597, 0.8562208815985553, 0.8561988060530334, 0.8558958285781091, 0.8560778952654633, 0.8574373452536999, 0.85709472738503, 0.8568101003735878, 0.8566971490048413, 0.8561128990072439, 0.8558898741891207, 0.8554981364187227, 0.8552849346291068, 0.854892634336332, 0.8546471481839525, 0.8546006218381721, 0.8543822249952339, 0.8541759494476625, 0.8538318930196607, 0.8538334284749001, 0.8534998744518216, 0.8541638599101448, 0.8540989590692855, 0.8545925304139129, 0.8551693457500444, 0.8547756835362481, 0.854459757771016, 0.8541804900501527, 0.8540204603887114, 0.8540302259428317, 0.853801063900285, 0.853490313759181, 0.8531372251705838, 0.852993915522408, 0.8526310648196199, 0.8522061885978881, 0.8522496424998619, 0.8533289813212462, 0.8530600408457917, 0.8526345100708518, 0.8530157940554658, 0.8528242143186606, 0.852753833363546, 0.852880310042518, 0.8540328067125255, 0.853785851343163, 0.8536041881635005, 0.8534544600402486, 0.8551949874942576, 0.8558354453063001, 0.8557295907572562, 0.8552758518670972, 0.8549399827232759, 0.8545753006792346, 0.8544514557445871, 0.8548768492160171, 0.854733722015839, 0.8555024989028408, 0.8552169316338659, 0.8552096360165866, 0.8549737007509345, 0.8558293221285536, 0.8553266580217371, 0.8550605818274678, 0.8549721800708143, 0.8544454678441784, 0.8540699925944547, 0.8537550214475387, 0.8531776416539051, 0.8528671462961311, 0.852401115356811, 0.8521097119199585, 0.8518610713520166, 0.8524996528259964, 0.8519194975217673, 0.854444335210595, 0.8556552556707873, 0.8552994672512007, 0.855168982550908, 0.8553804611823871, 0.8551637730445677, 0.8548676375636702, 0.8553515256652966, 0.8551226301480503, 0.8548525767460678, 0.8550838289004582, 0.8550783783586821, 0.8554223923977422, 0.8552056121400687, 0.8548257717923244, 0.8548179871520343, 0.8545021311863604, 0.8548079421042865, 0.8551195086823823, 0.8560561205752959, 0.8558060591495561, 0.8563497623405875, 0.8562294772598603, 0.8559897530733201, 0.8556330794573496, 0.8553824070609973, 0.855134282410421, 0.8545784996133023, 0.854335044909483, 0.8560481920189772, 0.8556596170848688, 0.8555716807217102, 0.8552116264804417, 0.8555175977719746, 0.8552243409761383, 0.8548807853025365, 0.8548720723014257, 0.8544093776736524, 0.8540978877528126, 0.857250224258734, 0.8566710485742571, 0.8564268220245893, 0.8562342836615394, 0.8562820817198668, 0.8557532602081929, 0.8554049041829797, 0.8550222743840451, 0.8549896006827918, 0.8546965227867559, 0.8544990534014996, 0.8545578037347913, 0.8559985159701845, 0.857038837006494, 0.8567704131459386, 0.856788693037085, 0.8563407567419294, 0.8560072872893518, 0.8555676253534726, 0.8554587346684221, 0.8550630217427184, 0.8548744139024943, 0.8543552481834894, 0.8541630087438986, 0.8536656322730799, 0.8530945404003293, 0.8529738077697995, 0.8528539229748149, 0.8525030808522799, 0.8526655317623869, 0.8524795135422008, 0.8520378213869648, 0.8518269527772226, 0.8515580891325332, 0.8509608788313957, 0.8521727896053081, 0.8528413516821841, 0.8540698161898285, 0.8534170558014618, 0.8528190189813944, 0.8524251903218512, 0.8521055565528775, 0.8517560073937154, 0.8514575484263804, 0.8512001530075547, 0.8505680612618869, 0.8501137188482942, 0.8497257947100219, 0.8493765391840986, 0.8509947059917213, 0.8504652693845867, 0.8503307471632638, 0.8499995055037434, 0.8497287306981458, 0.8495576986366945, 0.8493035542747358, 0.8508924531147871, 0.8504045846197308, 0.850409274868393, 0.8497288923315259, 0.8494634655318801, 0.8493022490513261, 0.8491715273834718, 0.8500593144498325, 0.849545786780829, 0.8484571019617748, 0.8480548570462566, 0.8475668571065156, 0.8477939062183836, 0.8477571121817813, 0.8471906497962685, 0.8479875793809097, 0.8491953023053501, 0.8523997803404723, 0.8520261611206859, 0.8517691991695255, 0.851907971700741, 0.8510722036680948, 0.8506501561953739, 0.8501228501228502, 0.8511693511693512, 0.8512754839521136, 0.8505510670819303, 0.8496914725804955, 0.8492886143393944, 0.848500795210029, 0.848955581387157, 0.8485601554678759, 0.8479117135658777, 0.849169862556871, 0.8507552145768401, 0.8513790443126477, 0.8516799185494036, 0.8512341398732406, 0.850672925299791, 0.8501745586861386, 0.8509435129617027, 0.8511339334560103, 0.8506561548824909, 0.8519046058436484, 0.8513931496082955, 0.8507972519979097, 0.8504678879117221, 0.8498288684731979, 0.8500316525199282, 0.8493543572772695, 0.8487873535506236, 0.8483429064883748, 0.8477529124043442, 0.849098771472778, 0.8485600530856006, 0.848082379740765, 0.8490479960282851, 0.8536694632239147, 0.8529596805076864, 0.8528910161192716, 0.8523059928196631, 0.8521467711729208, 0.8539806313671237, 0.8533999803428765, 0.8554442521070404, 0.8559204605516907, 0.8553079608637558, 0.8551861933167313, 0.857207496496964, 0.8564127417720404, 0.8562649924482483, 0.8553611848121, 0.8545577923546709, 0.8549961293847999, 0.8543860986205319, 0.8537819765658549, 0.8530744336569579, 0.8525572536814233, 0.8529517050318283, 0.8557734684883208, 0.8551380428763548, 0.8550003180863923, 0.8541743435282054, 0.8551400361383583, 0.8549848452923157, 0.8556992658240267, 0.8559227199420729, 0.8572921158247372, 0.8567436412315931, 0.8560811151653748, 0.8565503698813333, 0.8564877948997681, 0.8583914282770699, 0.8611962791664501, 0.8608079647712042, 0.8610099453705, 0.8606022209316649, 0.8602045872858559, 0.8594261711519294, 0.8587475629169872, 0.85856878225995, 0.8597942633211778, 0.8592865749023331, 0.8620887139980418, 0.8647261871443231, 0.8642397161256407, 0.8640795042321644, 0.8634731903739862, 0.863792738944091, 0.8635493415327493, 0.8626690571773785, 0.8622089716179903, 0.8618798698096459, 0.8645382575228827, 0.8642465835891879, 0.8657957004469432, 0.8666734610680799, 0.8666037890592964, 0.8670756646216768, 0.8677556965976485, 0.8688844989912575, 0.8686302702245527, 0.8740357135182758, 0.8751227603064097, 0.8742000043986012, 0.874098012306875, 0.8818386154191953, 0.8833329555500148, 0.8837666194544707, 0.8828243747409148, 0.8825387975095251, 0.8819322723129777, 0.8813224539704188, 0.8813330491011157, 0.881249252123968, 0.8805110584135895, 0.8816731412934594, 0.8816348719976278, 0.8808410052251804, 0.8832431071383609, 0.8850920589585353, 0.8841863939620309, 0.8840154680646752, 0.8843218004878944, 0.8849928385762028, 0.886305672635507, 0.8872296601441813, 0.8861870897155361, 0.8855702201526465, 0.8847863532811024, 0.8825046040515654, 0.8823428424275372, 0.8837412079288496, 0.8826557627816674, 0.8813812022900763, 0.8806239293120548, 0.8796703130208176, 0.8782350055194407, 0.8767434620174346, 0.8768606224627875, 0.8772382590964124, 0.8771692585080009, 0.8761122296551276, 0.8756408571052977, 0.8762581802478159, 0.8753730092204527, 0.873923071704769, 0.8731468483582703, 0.872629101481379, 0.8728380365520622, 0.8716307039264237, 0.8702975253897869, 0.8690381414199899, 0.8721622217324223, 0.8709533874735789, 0.8721078725961539, 0.8716169855912175, 0.8725221221840102, 0.8751766923197738, 0.873752038502844, 0.8741123305358296, 0.8830761613994554, 0.8818845111528039, 0.8812436719541006, 0.879801522799213, 0.8835994952351943, 0.8844122997737055, 0.8830159870666427, 0.8816578803853845, 0.8810554429913428, 0.8791089761702929, 0.87737610725401, 0.8760523626453842, 0.8743522676800078, 0.8726854168751876, 0.8707382754941314, 0.8693985390871886, 0.8672052378689477, 0.866207416177816, 0.8647023451593505, 0.8626993387786853, 0.8624185783064288, 0.8648037567395211, 0.8635425876805187, 0.8763100170606873, 0.8739895983457611, 0.8732547713590367, 0.871903520208605, 0.8731801789768933, 0.8736207251045165, 0.876939276939277, 0.8765209878320973, 0.8739786529260214, 0.8723436436512138, 0.8809058961343226, 0.8929823131469558, 0.8886715427793842, 0.8847711267605634, 0.8999170583356373, 0.897460107638561, 0.8944062806673209, 0.8928061952313022, 0.8892048446550816, 0.8859991330732553, 0.8781370374693591, 0.871520078837152, 0.8671506814418546, 0.8627450980392157, 0.8639398998330551, 0.8596364685516446, 0.8655264396673467, 0.8811083123425693, 0.8784871746863883, 0.8708971553610503, 0.9072323587601671, 0.905718336483932, 0.8925686591276252, 0.8832309043020193, 0.8721153846153846, 0.8606843575418994, 0.8445656408258668, 0.8303687635574837, 0.8188585607940446, 0.8101010101010101, 0.7787878787878788, 0.9040511727078892, 1.0]}, {\\\"line\\\": {\\\"color\\\": \\\"rgba(0, 200, 0, 1)\\\", \\\"width\\\": 1}, \\\"name\\\": \\\"Blast/CNN-ensemble\\\", \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.9081251032920434, 0.9080247336576871, 0.9079235578415289, 0.9078231882071726, 0.9077224154819153, 0.907619627302153, 0.9075188545768956, 0.9074180818516384, 0.9073177122172821, 0.9072169394920249, 0.9071157636758665, 0.9070153940415103, 0.906914218225352, 0.9068134455000947, 0.9067126727748375, 0.9066123031404812, 0.9065087087789168, 0.9064083391445605, 0.9063079695102042, 0.906207599875848, 0.9061056178778877, 0.9060052482435313, 0.9059048786091751, 0.9058045089748189, 0.9057037362495617, 0.9056033666152054, 0.9055025938899481, 0.9054022242555919, 0.9053018546212356, 0.9052014849868794, 0.9051011153525231, 0.9050007457181669, 0.9049003760838107, 0.9047979909949493, 0.9046976213605931, 0.9045972517262367, 0.9044968820918805, 0.9043965124575243, 0.904295336641366, 0.9041949670070097, 0.9040945973726535, 0.9039938246473962, 0.90389345501304, 0.9037930853786837, 0.9036927157443275, 0.9035923461099713, 0.903491976475615, 0.9033895913867537, 0.9032892217523973, 0.9031884490271401, 0.9030880793927839, 0.9029816633949121, 0.9028800844878528, 0.9027797148534966, 0.9026793452191404, 0.902576960130279, 0.9024765904959228, 0.9023762208615665, 0.9022758512272102, 0.902175481592854, 0.9020734995948937, 0.9019723237787354, 0.9018707448716761, 0.9017687628737157, 0.9016683932393594, 0.9015672174232011, 0.9014668477888449, 0.9013648657908845, 0.9012640930656273, 0.9011637234312709, 0.9010633537969147, 0.9009629841625585, 0.9008626145282023, 0.900762244893846, 0.9006606659867867, 0.9005602963524304, 0.9004595236271732, 0.900359153992817, 0.9002587843584606, 0.9001576085423024, 0.9000572389079461, 0.8999564661826889, 0.8998560965483327, 0.8997557269139763, 0.8996553572796201, 0.8995549876452639, 0.8994546180109076, 0.8993542483765514, 0.8992538787421952, 0.8991535091078389, 0.8990531394734826, 0.8989527698391264, 0.8988524002047702, 0.898752030570414, 0.8986516609360576, 0.8985512913017014, 0.8984509216673452, 0.898350552032989, 0.8982501823986327, 0.8981486034915734, 0.8980482338572171, 0.8979470580410588, 0.8978450760430985, 0.8977447064087423, 0.897644336774386, 0.8975439671400297, 0.8974435975056735, 0.8973432278713173, 0.897242858236961, 0.8971424886026048, 0.8970421189682485, 0.8969417493338923, 0.896841379699536, 0.8967410100651798, 0.8966402373399225, 0.8965390615237642, 0.8964314362531894, 0.8963310666188332, 0.8962302938935759, 0.8961295211683187, 0.8960287484430614, 0.8959279757178041, 0.8958272029925468, 0.8957268333581906, 0.8956244482693292, 0.895524078634973, 0.8954237090006167, 0.8953233393662605, 0.8952229697319043, 0.895122197006647, 0.8950218273722907, 0.8949214577379345, 0.8948206850126772, 0.894720315378321, 0.8946187364712617, 0.8945183668369054, 0.8944179972025491, 0.8943176275681929, 0.8942164517520346, 0.8941160821176783, 0.8940153093924211, 0.8939141335762628, 0.8938137639419066, 0.8937133943075503, 0.893613024673194, 0.8935126550388378, 0.8934122854044816, 0.8933119157701254, 0.893211546135769, 0.8931111765014128, 0.8930104037761556, 0.8929096310508983, 0.892809261416542, 0.8927088917821858, 0.8926073128751265, 0.8925057339680671, 0.8924053643337109, 0.8923049946993546, 0.8922046250649984, 0.8921042554306422, 0.8920038857962859, 0.8919023068892266, 0.8918003248912663, 0.8916995521660089, 0.8915991825316527, 0.8914988128972965, 0.8913968308993361, 0.8912956550831778, 0.8911944792670196, 0.891021150179577, 0.8909207805452207, 0.8908204109108645, 0.8907200412765083, 0.890619268551251, 0.8905188989168947, 0.8904185292825385, 0.8903181596481823, 0.890216983832024, 0.8901166141976677, 0.8900138260179054, 0.8899110378381428, 0.8898090558401826, 0.88970626766042, 0.8896058980260638, 0.8895035129372024, 0.8894023371210442, 0.8893019674866879, 0.8891999854887276, 0.8890992127634703, 0.8889980369473119, 0.8888976673129557, 0.8887968945876985, 0.8886965249533423, 0.888595752228085, 0.8884941733210256, 0.8883938036866694, 0.888291821688709, 0.8881882273271445, 0.8880878576927883, 0.88798668187663, 0.8878842967877686, 0.8877839271534124, 0.8876835575190561, 0.8875831878846999, 0.8874828182503436, 0.8873816424341854, 0.887280869708928, 0.8871805000745718, 0.8870801304402156, 0.8869797608058593, 0.886879391171503, 0.8867790215371468, 0.8866786519027906, 0.8865782822684344, 0.8864771064522761, 0.8863759306361177, 0.8862751579108604, 0.8861747882765042, 0.8860647444605233, 0.8859643748261671, 0.8858640051918109, 0.8857624262847514, 0.8856620566503952, 0.885561687016039, 0.8854613173816828, 0.8853609477473265, 0.8852605781129702, 0.885160208478614, 0.8850590326624557, 0.8849586630280994, 0.8848582933937432, 0.884757923759387, 0.8846527170342184, 0.884550735036258, 0.8844475437655945, 0.8843467710403373, 0.8842379364970595, 0.8841371637718022, 0.884036794137446, 0.8839360214121886, 0.8838356517778324, 0.8837352821434762, 0.8836337032364169, 0.8835333336020607, 0.8834329639677043, 0.883331788151546, 0.8832306123353878, 0.8831108943377821, 0.8830105247034259, 0.8829101550690697, 0.8828097854347133, 0.8827094158003571, 0.8826074338023968, 0.8825070641680406, 0.8824046790791792, 0.8823006816267136, 0.8822003119923574, 0.8820999423580012, 0.8819995727236449, 0.8818992030892887, 0.8817988334549324, 0.8816980607296752, 0.8815976910953189, 0.8814957090973585, 0.8813953394630023, 0.881294163646844, 0.8811929878306857, 0.8810926181963294, 0.8809914423801711, 0.8808906696549139, 0.8807903000205576, 0.8806899303862014, 0.8805895607518451, 0.8804863694811818, 0.880365039119972, 0.8802646694856157, 0.8801626874876554, 0.8800623178532991, 0.8799619482189428, 0.8798567414937742, 0.879755968768517, 0.8796555991341607, 0.8795552294998045, 0.8794548598654482, 0.879354490231092, 0.8792541205967358, 0.8791517355078744, 0.879049350419013, 0.8789489807846568, 0.8788478049684985, 0.8787470322432411, 0.8786466626088849, 0.8785462929745287, 0.8784459233401725, 0.8783451506149151, 0.8782411531624497, 0.8781407835280934, 0.8780404138937372, 0.8779376257139747, 0.8778368529887175, 0.8777364833543613, 0.8776349044473019, 0.8775345348129456, 0.8774329559058863, 0.8773321831806291, 0.8772318135462728, 0.8771298315483125, 0.8770286557321542, 0.8769282860977979, 0.8768279164634417, 0.8767255313745803, 0.8766251617402241, 0.8765219704695606, 0.8764082988354703, 0.8763030921103018, 0.8762027224759456, 0.8760946941144697, 0.8759939213892125, 0.8758931486639552, 0.8757915697568959, 0.8756899908498366, 0.8755888150336782, 0.8754876392175199, 0.8753872695831637, 0.8752868999488075, 0.8751865303144513, 0.8750861606800949, 0.8749640241370832, 0.874863654502727, 0.8747632848683706, 0.8746629152340144, 0.8745625455996582, 0.8744617728744009, 0.8743614032400446, 0.8742582119693812, 0.8741550206987178, 0.8740546510643615, 0.8739542814300053, 0.8738539117956491, 0.8737531390703918, 0.8736523663451345, 0.8735511905289762, 0.8734504178037189, 0.8733492419875606, 0.8731614016276811, 0.8730610319933249, 0.8729606623589685, 0.8728324794524414, 0.8727288850908769, 0.8726059423660629, 0.8725031541863005, 0.8723955289157258, 0.8722951592813696, 0.8721822938290814, 0.87207990874022, 0.8719787329240617, 0.8718747354715962, 0.8717505834740792, 0.871650213839723, 0.8715498442053667, 0.8712898505742029, 0.8711894809398467, 0.871081855669272, 0.8709810829440147, 0.8708633804009142, 0.870762204584756, 0.8706618349503996, 0.8705610622251424, 0.87045827404538, 0.8703562920474196, 0.8702559224130634, 0.870155149687806, 0.8699233724197144, 0.8698230027853582, 0.8697165867874864, 0.8696162171531302, 0.869515847518774, 0.8694041913391889, 0.8693038217048327, 0.8689398306212034, 0.8688394609868472, 0.8687378820797879, 0.8686314660819161, 0.8685310964475599, 0.8684307268132037, 0.8682956913613589, 0.8681953217270026, 0.8680949520926464, 0.8679945824582902, 0.8678926004603298, 0.8677922308259736, 0.8676906519189143, 0.8675600504669808, 0.8674596808326246, 0.8673576988346642, 0.867257329200308, 0.8671549441114466, 0.8670545744770903, 0.8668115106637698, 0.8667099317567104, 0.866523703760435, 0.8664221248533757, 0.8663128872191967, 0.8662125175848405, 0.8661109386777812, 0.8658654563190545, 0.8657646835937972, 0.8656635077776389, 0.8655611226887775, 0.8654607530544213, 0.8653418412386177, 0.8652414716042615, 0.8649540677918277, 0.8648536981574715, 0.8647363987052721, 0.8646360290709157, 0.8645356594365595, 0.8644344836204012, 0.8642760688962968, 0.8641748930801385, 0.8640209123559454, 0.8639205427215891, 0.8638197699963319, 0.863558970183366, 0.8634581974581088, 0.8633279990970764, 0.8632223892810068, 0.8630861445564589, 0.8629857749221027, 0.8628850021968454, 0.8627572223812192, 0.862656852746863, 0.8625556769307047, 0.8624512763873381, 0.8623351862078418, 0.8622344134825844, 0.8621106645759685, 0.8620102949416123, 0.8618933985803139, 0.8617926258550566, 0.8616922562207003, 0.8614653160434209, 0.8613649464090647, 0.8611988729578407, 0.8610952785962762, 0.86099490896192, 0.8607760306026612, 0.8606748547865029, 0.8605744851521466, 0.8604741155177904, 0.8603737458834342, 0.8602729731581769, 0.8601726035238206, 0.8600722338894644, 0.8599710580733061, 0.8598702853480489, 0.8596759955337528, 0.8595752228084955, 0.8594744500832383, 0.859373677357981, 0.8592612149965939, 0.8591580237259304, 0.8589919502747064, 0.8588915806403502, 0.8587900017332909, 0.8586896320989347, 0.8585892624645783, 0.8584840557394098, 0.8583820737414495, 0.8582804948343901, 0.8581781097455287, 0.8580777401111724, 0.8579761612041131, 0.8578532184792993, 0.8577508333904379, 0.8576504637560817, 0.8575496910308243, 0.8574493213964681, 0.8573489517621119, 0.8572485821277557, 0.8571445846752901, 0.8570389748592205, 0.8569386052248643, 0.856838235590508, 0.8567370597743497, 0.8566362870490924, 0.8565359174147362, 0.85643554778038, 0.8563351781460237, 0.856227149784548, 0.8561267801501917, 0.8560264105158354, 0.855924025426974, 0.8558236557926178, 0.8556660472503154, 0.8555656776159591, 0.8554653079816029, 0.8553621167109395, 0.8552548945312658, 0.8551545248969095, 0.8549840174457742, 0.8548824385387148, 0.8547260392691156, 0.8546256696347594, 0.8544894249102115, 0.8543874429122511, 0.8542870732778949, 0.8541867036435387, 0.8540359476465538, 0.8539355780121975, 0.8537832096516086, 0.8536816307445492, 0.8534949996573727, 0.8533946300230165, 0.8532233163900791, 0.8531197220285146, 0.8530189493032574, 0.8529177734870991, 0.8526081996751087, 0.8525074269498515, 0.8524070573154953, 0.8523034629539308, 0.8520152529596949, 0.8519148833253387, 0.8518145136909825, 0.8517141440566262, 0.8516137744222699, 0.8511723898856431, 0.8510720202512869, 0.8509716506169306, 0.8508712809825744, 0.8507709113482181, 0.8503065506302326, 0.8502061809958764, 0.8501058113615202, 0.8500054417271639, 0.8498292910034142, 0.8497248904600476, 0.8496241177347904, 0.8495237481004342, 0.8494225722842759, 0.849204097015918, 0.8491037273815618, 0.8490029546563046, 0.8489025850219483, 0.848801812296691, 0.848496672484612, 0.8483963028502558, 0.8482959332158995, 0.8481955635815432, 0.8480943877653849, 0.8476824288645333, 0.847581253048375, 0.8474808834140187, 0.8473801106887614, 0.8472785317817021, 0.8470310339684702, 0.8469302612432129, 0.8468298916088567, 0.8467291188835995, 0.8464546139799987, 0.8463542443456424, 0.8462534716203851, 0.8461531019860289, 0.8460519261698706, 0.8457786305389728, 0.8456782609046166, 0.8455778912702604, 0.8454775216359041, 0.8450510514626154, 0.8449498756464571, 0.8448495060121007, 0.8447491363777445, 0.8446479605615862, 0.8442460789332602, 0.844145306208003, 0.8440449365736468, 0.8439445669392904, 0.8438441973049342, 0.8435765449466509, 0.8434757722213937, 0.8433741933143343, 0.8432734205890771, 0.8428134938710028, 0.8427123180548446, 0.8426103360568842, 0.842509563331627, 0.842066969522297, 0.8419665998879408, 0.8418658271626834, 0.841761829710218, 0.8414873248066171, 0.8413869551722609, 0.8412849731743005, 0.8411846035399443, 0.8410842339055881, 0.8406037495515614, 0.8404993490081948, 0.8403985762829376, 0.8402961911940762, 0.84019582155972, 0.8393166803045755, 0.8392151013975162, 0.8391147317631599, 0.8390139590379027, 0.8389131863126453, 0.838589101228218, 0.8384883285029607, 0.8383879588686045, 0.8382875892342482, 0.838187219599892, 0.8380820128747234, 0.8358565480101418, 0.8357553721939834, 0.8356545994687262, 0.8355497958344587, 0.8354494262001024, 0.8349334698467852, 0.8348314878488248, 0.8347307151235676, 0.8346303454892112, 0.834529572763954, 0.8342175804065575, 0.8341172107722012, 0.834016841137845, 0.8339164715034888, 0.8338132802328253, 0.8335569144197708, 0.8334565447854145, 0.8333561751510583, 0.8332558055167021, 0.8331514049733355, 0.8320739429948848, 0.8319731702696275, 0.8318671573626568, 0.8317607413647852, 0.8316591624577259, 0.8315523433689531, 0.8309634275625496, 0.8308630579281934, 0.8307626882938371, 0.8306619155685798, 0.8305587242979164, 0.8300371246719848, 0.8299359488558264, 0.8298351761305692, 0.8297303724963017, 0.8291063877815086, 0.8290060181471524, 0.8289052454218951, 0.8288048757875388, 0.8284566052490497, 0.8283562356146935, 0.8282558659803372, 0.828155496345981, 0.8280539174389216, 0.8276609038104182, 0.827560534176062, 0.8274593583599037, 0.8273561670892403, 0.827255394363983, 0.8268236840089809, 0.8267233143746247, 0.8266229447402684, 0.8265221720150111, 0.8261710798402148, 0.8260707102058585, 0.8259703405715023, 0.825869970937146, 0.8257651673028785, 0.8250492778626508, 0.8249485051373935, 0.8248477324121363, 0.82474736277778, 0.8246465900525227, 0.8243539460583756, 0.8242535764240194, 0.8241532067896631, 0.8240520309735049, 0.8239504520664455, 0.823430061713217, 0.8233296920788608, 0.8232256946263952, 0.8231253249920389, 0.8230213275395735, 0.8224948908228294, 0.8223933119157701, 0.8222925391905128, 0.8221921695561566, 0.8220797071947695, 0.8219233079251702, 0.821822938290814, 0.8217225686564578, 0.8216177650221902, 0.8215169922969329, 0.8210147410342507, 0.8209143713998944, 0.820811986311033, 0.8207104074039737, 0.8206092315878154, 0.8204254221369461, 0.8203250525025899, 0.8202234735955305, 0.8201227008702733, 0.8200174941451046, 0.819675269970131, 0.8195749003357747, 0.8194741276105174, 0.8193725487034581, 0.8192721790691019, 0.8185901492645606, 0.8184889734484023, 0.8183882007231451, 0.8182878310887889, 0.8181862521817295, 0.8179419790957059, 0.8178408032795476, 0.8177400305542903, 0.8176380485563299, 0.8175376789219737, 0.8170551791134418, 0.8169548094790856, 0.8168536336629273, 0.816752054755868, 0.8166238718493407, 0.8164295820350447, 0.8163292124006885, 0.8162288427663322, 0.816128070041075, 0.8160264911340156, 0.8155173873260159, 0.8154145991462535, 0.8153142295118972, 0.8152134567866399, 0.8151098624250754, 0.8146519511615065, 0.8145503722544472, 0.8144491964382888, 0.8143435866222192, 0.814242813896962, 0.8138578620864791, 0.8137574924521229, 0.8136534949996573, 0.8135531253653011, 0.8134519495491428, 0.8128900408331082, 0.812789268107851, 0.8126888984734948, 0.8125849010210292, 0.812484531386673, 0.8119931635783185, 0.8118927939439623, 0.8117924243096061, 0.8116920546752499, 0.8115908788590915, 0.8113264512280164, 0.8112256785027592, 0.8111249057775018, 0.8110245361431456, 0.8109136861453626, 0.8103602423382497, 0.8102598727038934, 0.8101546659787249, 0.8100530870716656, 0.8099523143464082, 0.8098454952576355, 0.8093908087212748, 0.8092884236324134, 0.8091880539980572, 0.8090876843637008, 0.8085269849203693, 0.8084229874679039, 0.8083210054699436, 0.8082206358355872, 0.8081069642014971, 0.8077413607542637, 0.8076405880290064, 0.8075402183946502, 0.807439848760294, 0.8073390760350366, 0.806914218225352, 0.8068138485909958, 0.8067130758657385, 0.8066127062313823, 0.806512336597026, 0.8059613113353192, 0.8058597324282599, 0.8057569442484975, 0.8056565746141412, 0.8055485462526655, 0.8052301044408524, 0.8051297348064962, 0.80502936517214, 0.8049285924468828, 0.8048274166307244, 0.804725031541863, 0.8042078659158427, 0.8041066900996844, 0.8040030957381199, 0.8039023230128627, 0.8038015502876054, 0.8032307735717482, 0.8031304039373919, 0.8030300343030357, 0.8029296646686794, 0.8028292950343232, 0.8023584848619212, 0.802257712136664, 0.802148474502485, 0.8020481048681288, 0.8019473321428715, 0.8013701059725978, 0.8012697363382416, 0.8011693667038854, 0.8010685939786282, 0.8009641934352616, 0.8006151167149704, 0.8005123285352079, 0.8004115558099507, 0.8003111861755945, 0.8002104134503372, 0.799652938734214, 0.7995517629180556, 0.7994485716473922, 0.7993477989221349, 0.7992450107423725, 0.7986794742082287, 0.7985791045738725, 0.7984775256668131, 0.7983767529415559, 0.7982759802162985, 0.7977027849550352, 0.797602415320679, 0.7975020456863228, 0.7974008698701645, 0.7970243829686032, 0.7969228040615439, 0.7968208220635835, 0.7967188400656232, 0.796618470431267, 0.7958981469911279, 0.7957973742658707, 0.7956970046315145, 0.7955966349971582, 0.7954958622719009, 0.7948686528298997, 0.7947662677410383, 0.7946622702885727, 0.7945614975633155, 0.7944611279289593, 0.7941995219341914, 0.7940987492089341, 0.7939979764836769, 0.7938976068493205, 0.7937968341240633, 0.7929628390498341, 0.7928616632336758, 0.7927608905084186, 0.7926605208740624, 0.792559345057904, 0.7924355961512881, 0.791576206350294, 0.7914754336250368, 0.7913742578088785, 0.7912738881745223, 0.791173518540166, 0.7910727458149087, 0.7902980051031308, 0.7901976354687745, 0.7900972658344183, 0.7899896405638436, 0.7898771782024564, 0.7889678051297349, 0.7888670324044775, 0.7887666627701213, 0.7886638745903589, 0.7881205080557716, 0.7880201384214154, 0.7879197687870592, 0.787818996061802, 0.7877186264274456, 0.787611807338673, 0.7868979333529504, 0.7867975637185942, 0.7866971940842379, 0.7865823131774446, 0.7864819435430884, 0.7860977979144077, 0.7859974282800515, 0.7858970586456951, 0.7857966890113389, 0.7856959162860817, 0.7855951435608244, 0.7849997783000044, 0.7848994086656482, 0.7847978297585888, 0.7846962508515295, 0.7845874163082517, 0.7844858374011924, 0.7835587283288254, 0.7834583586944692, 0.7833579890601129, 0.7832576194257567, 0.7831548312459943, 0.7828633965245503, 0.782762623799293, 0.7826622541649367, 0.7825614814396794, 0.7824538561691047, 0.7823381690805093, 0.781516266733311, 0.7814134785535486, 0.7813131089191924, 0.7812127392848361, 0.7809229169269962, 0.7808217411108379, 0.7807141158402632, 0.7806093122059956, 0.7805089425716394, 0.7804057513009759, 0.779826509676197, 0.7797261400418408, 0.7796257704074846, 0.7795249976822273, 0.779424628047871, 0.7793190182318015, 0.7786257018820314, 0.7785253322476752, 0.7784245595224178, 0.7783229806153585, 0.7782149522538828, 0.7777767924444642, 0.777676422810108, 0.7775760531757516, 0.7774756835413954, 0.7773749108161382, 0.7772745411817819, 0.7764316781077301, 0.7763313084733738, 0.7762297295663145, 0.7761289568410572, 0.7760261686612948, 0.775904032118283, 0.7756508910324367, 0.7755489090344764, 0.7754473301274171, 0.7753461543112588, 0.7752453815860014, 0.7741687257893528, 0.7740679530640955, 0.7739675834297393, 0.7738647952499769, 0.7737591854339072, 0.7736515601633325, 0.7729848478130303, 0.7728844781786741, 0.7727841085443178, 0.7726813203645554, 0.7722008360105287, 0.7721000632852715, 0.7719976781964101, 0.7718973085620539, 0.7717965358367965, 0.7710056714889775, 0.7709040925819182, 0.7708037229475619, 0.7707033533132056, 0.7705900847700164, 0.7703010685939786, 0.7702006989596224, 0.7701003293252662, 0.7699987504182068, 0.7695424515182419, 0.7694420818838856, 0.7693417122495294, 0.7692409395242721, 0.7691405698899159, 0.7684891749938528, 0.7683879991776945, 0.7682872264524373, 0.768185647545378, 0.7680844717292197, 0.7675193382859768, 0.7674185655607196, 0.7673177928354623, 0.7672154077466009, 0.7671150381122447, 0.7665881983045997, 0.7664878286702435, 0.766384234308679, 0.7662834615834216, 0.7661802703127583, 0.7657868535933539, 0.7656860808680965, 0.7655853081428393, 0.765484132326681, 0.7653825534196217, 0.7645945107081098, 0.7644933348919515, 0.7643857096213768, 0.7642817121689112, 0.7641797301709509, 0.7640604152642463, 0.7631131516468279, 0.7630127820124716, 0.7629124123781154, 0.7628120427437591, 0.7627112700185019, 0.7621868487562631, 0.7620864791219067, 0.7619861094875505, 0.7618857398531943, 0.7617853702188381, 0.7616789542209663, 0.7609086475090998, 0.7608082778747436, 0.7607046835131791, 0.7606022984243177, 0.7604995102445552, 0.7599525158918587, 0.7598521462575025, 0.7597509704413442, 0.7596497946251859, 0.7595486188090276, 0.7590757931821205, 0.7589738111841602, 0.7588730384589029, 0.7587726688245466, 0.7586710899174873, 0.7585618522833084, 0.7578040413893737, 0.7577036717550175, 0.757600883575255, 0.7574976923045916, 0.7570780746766204, 0.756977705042264, 0.7568696766807883, 0.7567693070464321, 0.7566560385032428, 0.7561816005127316, 0.7560808277874743, 0.7559804581531181, 0.7558784761551578, 0.7557555334303439, 0.7552552976221668, 0.7551508970788002, 0.7550493181717409, 0.7549461269010774, 0.7548441449031171, 0.7547433721778598, 0.7546357469072851, 0.7537437067433077, 0.7536421278362484, 0.7535409520200901, 0.7534397762039318, 0.7533394065695755, 0.753234602935308, 0.7526017502206923, 0.752501380586336, 0.7524010109519798, 0.7522990289540195, 0.7521865665926323, 0.7518286218725184, 0.751724624420053, 0.7516238516947957, 0.7515182418787261, 0.7514178722443698, 0.7513166964282115, 0.750727377530907, 0.7506249924420456, 0.7505246228076894, 0.7504234469915311, 0.7501574069968518, 0.7500570373624956, 0.7499566677281394, 0.749854282639278, 0.7497527037322187, 0.7496523340978624, 0.7495402748273763, 0.748675644844669, 0.7485752752103126, 0.7484749055759564, 0.7483737297597981, 0.7478815557696417, 0.7477811861352853, 0.7476804134100281, 0.7475796406847708, 0.7474752401414043, 0.7469697641515138, 0.7468685883353555, 0.7467678156100982, 0.7466666397939399, 0.746556595977959, 0.7464550170708997, 0.7463457794367208, 0.7454630103634671, 0.7453622376382097, 0.7452618680038535, 0.7451614983694973, 0.7448220958308308, 0.7447189045601673, 0.7446185349258111, 0.7445181652914549, 0.7444141678389894, 0.7443109765683259, 0.7428392916886687, 0.7427389220543125, 0.7426381493290551, 0.7425377796946989, 0.7424309606059263, 0.7417332102562448, 0.7416328406218886, 0.7415324709875324, 0.7414321013531762, 0.7413281039007107, 0.7412269280845524, 0.7402075111958498, 0.7401071415614935, 0.7400067719271373, 0.739904789929177, 0.7398044202948206, 0.7390651515823333, 0.7389647819479771, 0.7388644123136209, 0.7387636395883636, 0.7384548719581753, 0.7383508745057098, 0.7382505048713536, 0.7381497321460962, 0.7380465408754329, 0.737938915604858, 0.7372484208913952, 0.737148051257039, 0.7370476816226827, 0.7369473119883265, 0.7365135861788192, 0.7364124103626609, 0.7363120407283047, 0.7362116710939484, 0.7361113014595921, 0.7360028700072153, 0.7355647101977967, 0.7354643405634405, 0.735361149292777, 0.7352607796584207, 0.7351334029336956, 0.7344541947654616, 0.7343530189493033, 0.734252246224046, 0.7341518765896897, 0.7340430420464119, 0.7337326620526194, 0.7336314862364612, 0.7335311166021049, 0.7334283284223425, 0.7333275556970853, 0.7332195273356095, 0.732603604438837, 0.7325032348044808, 0.7324028651701245, 0.7323004800812631, 0.7318599017264383, 0.731759129001181, 0.7316587593668248, 0.7315579866415676, 0.7314576170072113, 0.731357247372855, 0.7312548622839936, 0.7301636952149079, 0.7300629224896507, 0.7299520724918677, 0.7298512997666103, 0.7297509301322541, 0.7296199255894197, 0.7290181108741832, 0.728917741239827, 0.7288157592418666, 0.7287145834257084, 0.7282155568902343, 0.7281151872558781, 0.7280148176215219, 0.7279140448962645, 0.7278124659892052, 0.7268051418275335, 0.7267047721931773, 0.7266044025588211, 0.7265032267426628, 0.7263984231083952, 0.7256974480315056, 0.7255962722153473, 0.7254959025809911, 0.7253951298557337, 0.7252943571304765, 0.7251718174965637, 0.7242245538791453, 0.7241241842447891, 0.7240238146104327, 0.7239234449760765, 0.7238166258873039, 0.7230463191754373, 0.722945949541081, 0.7228451768158237, 0.7227448071814675, 0.7226440344562102, 0.7225376184583385, 0.7217008017478022, 0.7215972073862377, 0.7214968377518814, 0.7213964681175252, 0.7212908583014556, 0.7205995574061906, 0.7204991877718344, 0.7203988181374782, 0.720298448503122, 0.7199155121471443, 0.719813933240085, 0.7197135636057287, 0.7196103723350653, 0.7195063748825997, 0.7184095645408997, 0.7183091949065433, 0.7182084221812861, 0.7181076494560288, 0.7180068767307716, 0.7167637443919979, 0.7166633747576416, 0.7165630051232853, 0.7164533643982054, 0.7163485607639378, 0.7159869882257148, 0.7158813784096452, 0.7157789933207838, 0.7156778175046254, 0.7155758355066651, 0.7148212493399386, 0.7147196704328793, 0.7146193007985231, 0.7145189311641669, 0.714410902802691, 0.7139783862658868, 0.7138768073588275, 0.7137760346335702, 0.7136740526356099, 0.7135720706376495, 0.713426957913279, 0.7123942390248424, 0.7122938693904862, 0.71219349975613, 0.7120838590310501, 0.7119826832148918, 0.7110890306873103, 0.710988257962053, 0.7108878883276968, 0.7105114014261356, 0.7104094194281753, 0.710309049793819, 0.7102082770685617, 0.7095250379913174, 0.7094246683569612, 0.7093242987226049, 0.7092231229064466, 0.7089574860026685, 0.7088571163683122, 0.708756746733956, 0.7086543616450945, 0.7085531858289363, 0.7084411265584502, 0.7078477767521354, 0.7077474071177792, 0.7076462313016209, 0.7075458616672646, 0.7071318873119077, 0.7070307114957494, 0.7069303418613931, 0.7068299722270369, 0.7067243624109673, 0.706150764058803, 0.7060499913335456, 0.7059496216991894, 0.7058492520648332, 0.7057400144306543, 0.7056311798873764, 0.7046536844523809, 0.7045525086362225, 0.7044501235473611, 0.7043481415494008, 0.7042360822789148, 0.7036415231998968, 0.7035411535655406, 0.7034391715675802, 0.703338398842323, 0.7032311766626492, 0.7024104835881539, 0.7023101139537977, 0.7022093412285404, 0.7021089715941842, 0.702008601959828, 0.7009242874360597, 0.7008227085290004, 0.7007219358037431, 0.7006215661693869, 0.7005207934441295, 0.7000612698169564, 0.6999609001826002, 0.6998597243664418, 0.6997549207321743, 0.699654148006917, 0.6995529721907587, 0.6987508212977108, 0.6986500485724536, 0.6985476634835922, 0.698447293849236, 0.6983469242148796, 0.6976491738651983, 0.6975488042308421, 0.6974484345964859, 0.6973476618712285, 0.6972472922368723, 0.6971384576935945, 0.6960630111696489, 0.6959626415352926, 0.6958622719009364, 0.6957538404485596, 0.6956530677233023, 0.6955446362709254, 0.6947400668324714, 0.6946392941072141, 0.6945389244728579, 0.6944381517476006, 0.6943349604769371, 0.6936239081275218, 0.6935227323113635, 0.6934223626770073, 0.6933167528609376, 0.6932151739538783, 0.6931144012286211, 0.6930071790489474, 0.6921115110668606, 0.6920083197961973, 0.6919071439800389, 0.6918047588911775, 0.6912194709028833, 0.691118295086725, 0.6910175223614677, 0.6909163465453094, 0.6908022718203182, 0.6902552774676217, 0.6901549078332655, 0.6900545381989093, 0.689953765473652, 0.6894756996650314, 0.6893753300306752, 0.689274960396319, 0.6891745907619627, 0.6885393195019409, 0.6884385467766836, 0.6883373709605253, 0.688236195144367, 0.6881342131464067, 0.6870192637141602, 0.6869188940798039, 0.6868185244454477, 0.6867104960839719, 0.6865944059044755, 0.6864879899066039, 0.6858684391917221, 0.6857676664664648, 0.6856668937412076, 0.6855665241068514, 0.685466154472495, 0.6846442521252968, 0.6845418670364354, 0.6844410943111782, 0.6843358875860095, 0.6842310839517419, 0.6841109628632353, 0.6833829806959768, 0.6832814017889174, 0.6831806290636602, 0.683080259429304, 0.6829734403405312, 0.6821406545390051, 0.6820398818137479, 0.6819383029066884, 0.6818375301814312, 0.6817266801836482, 0.6807507971122568, 0.6806496212960985, 0.6805492516617423, 0.6804460603910788, 0.6803452876658215, 0.6802287943954242, 0.6795052462280768, 0.6794004425938094, 0.6792996698685521, 0.6791993002341958, 0.6790957058726313, 0.6778259695343897, 0.6777239875364294, 0.6776203931748649, 0.6775192173587066, 0.6772547897276314, 0.6771540170023742, 0.6770528411862159, 0.6769512622791566, 0.6768432339176808, 0.6758955672093614, 0.6757951975750052, 0.675694827940649, 0.6755944583062926, 0.6754928793992333, 0.6747870672315314, 0.6746866975971751, 0.6745863279628189, 0.6744815243285514, 0.6740981848816726, 0.6739974121564154, 0.6738966394311581, 0.6737962697968018, 0.6736781641628004, 0.67236973109806, 0.6722693614637036, 0.6721653640112382, 0.6720649943768819, 0.6719351991067506, 0.6710350971247526, 0.6709347274903964, 0.6708343578560401, 0.6707335851307829, 0.6706291845874163, 0.670001572054514, 0.6699003962383557, 0.6698000266039995, 0.6696996569696432, 0.669598884244386, 0.6687358666252826, 0.6686354969909264, 0.6685335149929661, 0.6684270989950943, 0.6676358315563743, 0.6675354619220181, 0.6674350922876617, 0.6673339164715035, 0.6672323375644441, 0.6662242072209704, 0.6661230314048121, 0.6660222586795548, 0.6659218890451986, 0.6654676055997388, 0.6653660266926794, 0.6652656570583232, 0.665164884333066, 0.6645965261626149, 0.6644961565282587, 0.6643957868939024, 0.6642946110777441, 0.6641914198070807, 0.6634388490948594, 0.6633384794605032, 0.663238109826147, 0.662866863106299, 0.6627664934719428, 0.6626657207466856, 0.6625653511123294, 0.6624601443871607, 0.66174304567423, 0.6616426760398737, 0.6615419033146165, 0.6609747544168686, 0.6608743847825123, 0.6607715966027499, 0.6606704207865916, 0.6605672295159282, 0.6604616196998585, 0.6597775744408122, 0.6596768017155549, 0.6595631300814647, 0.6594627604471084, 0.6593615846309501, 0.6586315870091864, 0.6585308142839291, 0.6584300415586719, 0.6583292688334146, 0.6579838199312327, 0.6578798224787672, 0.657779452844411, 0.6576746492101434, 0.6570430057682308, 0.6569402175884683, 0.656838638681409, 0.6567378659561518, 0.6562049797849913, 0.656104207059734, 0.6560034343344767, 0.6559006461547143, 0.6558002765203581, 0.6556946667042884, 0.6549050116291725, 0.6548046419948162, 0.6547038692695589, 0.6546034996352027, 0.6544990990918362, 0.6535570756561312, 0.653456706021775, 0.6533555302056167, 0.6532511296622502, 0.6528657747608663, 0.65276540512651, 0.6526650354921538, 0.6525529762216677, 0.652445350951093, 0.6523409504077264, 0.6518874731440687, 0.6517871035097125, 0.6516855246026532, 0.6515690313322557, 0.6510010762527058, 0.6508982880729434, 0.650797918438587, 0.6506967426224288, 0.6505959698971715, 0.6497446419141981, 0.6496434660980398, 0.6495249573731372, 0.6494233784660779, 0.6493226057408206, 0.6492222361064643, 0.649092440836333, 0.6481234103102591, 0.6480230406759028, 0.6479218648597446, 0.6478154488618728, 0.6475066812316845, 0.6474063115973283, 0.6473059419629721, 0.6472035568741107, 0.6464993570700128, 0.6463989874356566, 0.6462986178013004, 0.6461982481669442, 0.6460926383508745, 0.6456931752679547, 0.6455911932699944, 0.645490420544737, 0.6453860200013705, 0.6445496063817352, 0.6444456089292696, 0.6443452392949134, 0.6442412418424479, 0.6435789634920571, 0.6434781907667998, 0.6433766118597405, 0.6432653587710565, 0.6429223284142807, 0.6428215556890234, 0.6427211860546672, 0.642620816420311, 0.6425156096951423, 0.6419831266148829, 0.6418823538896257, 0.6417815811643683, 0.6416808084391111, 0.640958872635368, 0.6408585030010118, 0.6407581333666555, 0.64065413591419, 0.6405525570071307, 0.6399781524731643, 0.6398757673843029, 0.6397741884772435, 0.6396722064792831, 0.6395629688451042, 0.6388305526779344, 0.6387293768617761, 0.6386290072274199, 0.6385258159567564, 0.6384254463224002, 0.6378623283336625, 0.6377615556084053, 0.637660782883148, 0.6375604132487918, 0.6374519817964149, 0.6366308856310187, 0.6365305159966624, 0.6364257123623949, 0.6363213118190283, 0.6356086471060088, 0.6355070681989495, 0.6354066985645933, 0.635305119657534, 0.635194269659751, 0.6340805295002075, 0.6339801598658513, 0.6338797902314951, 0.6337753896881285, 0.6336653458721476, 0.6331352813372944, 0.633032493157532, 0.6329321235231757, 0.6328309477070174, 0.631813949363721, 0.6317135797293648, 0.6316128070041075, 0.6315059879153347, 0.6314048120991765, 0.6312838848288678, 0.6306889226589488, 0.6305853282973843, 0.6304849586630281, 0.6303845890286719, 0.6302801884853053, 0.6298964459475256, 0.6297960763131694, 0.6296957066788131, 0.6295953370444569, 0.6294780375922574, 0.6288729981498128, 0.6287718223336545, 0.6286714526992982, 0.628571083064942, 0.6281296985283151, 0.6280293288939589, 0.6279285561687016, 0.6278281865343454, 0.6277145149002552, 0.6271691329111628, 0.6270687632768066, 0.6269683936424503, 0.626868024008094, 0.6267624141920245, 0.6261025543870398, 0.6260021847526835, 0.6259018151183273, 0.6258014454839711, 0.6257006727587138, 0.6249404433193729, 0.6248400736850167, 0.6247393009597594, 0.6246389313254032, 0.6245357400547398, 0.6244317426022742, 0.6243172647863819, 0.6232825304434403, 0.6231817577181831, 0.6230805819020248, 0.6229757782677572, 0.6228721839061927, 0.6223687233708074, 0.622266741372847, 0.6221663717384908, 0.6220660021041345, 0.6219535397427474, 0.6213513219366099, 0.6212505492113527, 0.6211501795769964, 0.6210498099426401, 0.6209478279446798, 0.6208192419472516, 0.6199074503291238, 0.6198070806947675, 0.6197063079695102, 0.6196039228806488, 0.6190545099825462, 0.61895414034819, 0.6188537707138336, 0.6187534010794774, 0.6186530314451212, 0.6179762418222934, 0.6178754690970361, 0.6177750994626798, 0.6176711020102144, 0.6175610581942333, 0.6169802042058504, 0.6168798345714942, 0.616779464937138, 0.6166678087575529, 0.6165666329413946, 0.6164646509434343, 0.6163626689454739, 0.6162429509478683, 0.6154742565996058, 0.6153738869652495, 0.6152670678764768, 0.6151662951512196, 0.6150659255168633, 0.614965152791606, 0.6141368009899912, 0.614036431355635, 0.6139360617212788, 0.6138352889960215, 0.613247582462321, 0.6131451973734597, 0.6130407968300932, 0.6129392179230339, 0.6128259493798447, 0.6127231612000822, 0.6120572550315821, 0.6119564823063249, 0.6118536941265624, 0.6117525183104042, 0.6116509394033448, 0.6111551375950791, 0.6110547679607228, 0.6109531890536635, 0.6108528194193072, 0.6107484188759407, 0.6102840581579552, 0.6101804637963907, 0.6100772725257273, 0.6099748874368659, 0.6098624250754787, 0.6090909090909091, 0.6089905394565528, 0.6088897667312956, 0.6084765985577407, 0.6083758258324835, 0.6082750531072262, 0.6081714587456617, 0.6072870773088039, 0.6071867076744477, 0.6070855318582894, 0.6069819374967249, 0.606609481504174, 0.6065091118698177, 0.6064087422354615, 0.6062958767831734, 0.605791610065986, 0.6056908373407287, 0.6055900646154714, 0.6054892918902142, 0.6053647368017961, 0.6045392066364886, 0.6044364184567261, 0.6043340333678648, 0.6039591588299077, 0.6038579830137494, 0.6037555979248881, 0.6036552282905318, 0.6035536493834724, 0.6034423962947885, 0.6028244579435108, 0.6027240883091546, 0.6026217032202932, 0.602521333585937, 0.6024165299516694, 0.6016595252395368, 0.6015591556051805, 0.6014587859708243, 0.6013576101546659, 0.6012564343385077, 0.6011463905225267, 0.6004796781722246, 0.6003793085378684, 0.6002789389035121, 0.6001785692691559, 0.5991740667437914, 0.59907168165493, 0.5989696996569697, 0.5982457483987214, 0.598144572582563, 0.5980442029482068, 0.5979418178593454, 0.5978410451340882, 0.5972045646013633, 0.5970989547852936, 0.5969985851509374, 0.5968978124256801, 0.5967974427913239, 0.5964612649798656, 0.5963608953455094, 0.5962605257111532, 0.5961593498949949, 0.5955301249984885, 0.5954233059097157, 0.5953205177299533, 0.5952177295501908, 0.5951056702797047, 0.5944087261118255, 0.5943071472047662, 0.5942067775704098, 0.5941064079360536, 0.5934820201303596, 0.5933804412233002, 0.593279668498043, 0.5931764772273795, 0.5930628055932894, 0.5929446999592878, 0.591978491069521, 0.5918781214351648, 0.5917777518008086, 0.5912533305385698, 0.5911513485406094, 0.5910505758153521, 0.5909473845446886, 0.5908345190924005, 0.5902028756504879, 0.5901021029252307, 0.5900017332908745, 0.589900154383815, 0.5897965600222507, 0.5892842314870427, 0.5891834587617854, 0.589080267491122, 0.5889722391296461, 0.5882112035085032, 0.588110833874147, 0.5880092549670877, 0.5879080791509294, 0.587016038986952, 0.5869128477162885, 0.5868124780819323, 0.5867117053566749, 0.5865166093605769, 0.5864146273626165, 0.5863126453646562, 0.5862122757303, 0.5861098906414386, 0.5856854359226549, 0.5855850662882987, 0.5854842935630414, 0.5853839239286852, 0.5852666244764857, 0.5847958143040837, 0.5846954446697274, 0.5845942688535691, 0.5844906744920046, 0.5843201670408694, 0.5835639685105388, 0.5834619865125784, 0.5833612137873212, 0.5832552008803505, 0.5831516065187861, 0.5825304434403002, 0.5824288645332409, 0.5823284948988846, 0.5822281252645284, 0.582125740175667, 0.5817605398193346, 0.5816601701849784, 0.5815598005506222, 0.5814590278253648, 0.5813586581910086, 0.5812542576476422, 0.5806298698419481, 0.5805295002075919, 0.5804291305732355, 0.5803279547570772, 0.5797019545877791, 0.5795959416808084, 0.5794955720464522, 0.5793935900484918, 0.5792920111414325, 0.5785861989737305, 0.5784858293393743, 0.5783854597050181, 0.5782850900706619, 0.5781839142545036, 0.5780803198929391, 0.577317268817291, 0.5772168991829347, 0.5771165295485785, 0.5770157568233212, 0.5764566697435939, 0.5763534784729304, 0.5762422253842464, 0.5761418557498902, 0.5760366490247215, 0.5759262021178396, 0.5750140074088108, 0.5749132346835535, 0.5748128650491973, 0.5747104799603359, 0.5746101103259796, 0.5742723201509172, 0.5741650979712435, 0.5740631159732832, 0.5739627463389269, 0.5738591519773624, 0.5737483019795794, 0.573090054538199, 0.5729888787220406, 0.5728885090876844, 0.572786930180625, 0.5726740647283369, 0.5718122563819367, 0.5717118867475804, 0.5716111140223231, 0.5715099382061649, 0.5710862896691833, 0.5709859200348271, 0.5708827287641636, 0.5707823591298073, 0.5706779585864409, 0.5701837691417792, 0.5700833995074229, 0.5699830298730667, 0.5698822571478094, 0.5693143020682594, 0.5692139324339032, 0.5691119504359428, 0.5690107746197846, 0.5689104049854282, 0.5687927024423278, 0.567688233373508, 0.5675854451937457, 0.5674818508321812, 0.5673798688342208, 0.5672786930180626, 0.5666534990305664, 0.5665531293962102, 0.5664515504891509, 0.5659952515891858, 0.5658932695912255, 0.5657928999568693, 0.565692530322513, 0.5655905483245527, 0.5654805045085717, 0.5647505068868081, 0.5646497341615507, 0.5645493645271945, 0.5641446612625614, 0.5640426792646009, 0.5639419065393437, 0.5638415369049874, 0.5637339116344127, 0.5629148309235216, 0.5628144612891653, 0.5627140916548091, 0.5626129158386508, 0.5619530560336662, 0.5618522833084089, 0.5617507044013496, 0.5613754267724914, 0.561271832410927, 0.5611686411402635, 0.5610682715059073, 0.5609622585989367, 0.5602512062495213, 0.5601508366151651, 0.5600504669808088, 0.5599500973464526, 0.5591406908171862, 0.5590399180919289, 0.5589335020940572, 0.5588319231869979, 0.5581361882918217, 0.5580350124756633, 0.5579346428413071, 0.5578342732069509, 0.5577330973907926, 0.5566745806846902, 0.5565734048685319, 0.5564702135978684, 0.556367828509007, 0.5562581877839271, 0.555799470338556, 0.5556986976132988, 0.5555983279789425, 0.5554967490718832, 0.5553778372560796, 0.5546401809071964, 0.5545297340003144, 0.5544293643659581, 0.5538497196502783, 0.553747737652318, 0.5536465618361597, 0.5535413551109911, 0.5534276834769009, 0.5524167314971199, 0.5523163618627637, 0.5522159922284074, 0.5521156225940512, 0.5520112220506846, 0.5511046706142703, 0.5510022855254089, 0.5509019158910526, 0.5507918720750716, 0.5502867991760823, 0.5501856233599239, 0.5500844475437656, 0.5499828686367063, 0.5498708093662201, 0.549438695920317, 0.5493383262859608, 0.5492379566516045, 0.5491355715627431, 0.5486740324810648, 0.5485736628467086, 0.5484732932123523, 0.5483696988507878, 0.547831975588815, 0.5477316059544588, 0.5476312363201026, 0.5475119214133979, 0.5469834692421488, 0.5468830996077926, 0.5467827299734364, 0.546681957248179, 0.5465674794322868, 0.546238154166146, 0.5461365752590867, 0.5460358025338294, 0.5459346267176711, 0.5451034532797491, 0.5450030836453928, 0.5449006985565314, 0.5448003289221752, 0.5442360016607345, 0.5441344227536752, 0.544034053119319, 0.5439324742122597, 0.543826461305289, 0.5433310625879242, 0.543230692953568, 0.5431299202283106, 0.5430029465944866, 0.5418488973448402, 0.541748527710484, 0.5416477549852268, 0.5415453698963654, 0.5405723084612811, 0.5404646831907063, 0.5403639104654491, 0.5402635408310928, 0.5401611557422314, 0.5400410346537248, 0.5392054272158915, 0.5391046544906342, 0.5390022694017728, 0.5386193330457951, 0.5385189634114389, 0.5384185937770827, 0.5383174179609244, 0.5374789888867838, 0.5373786192524276, 0.5372782496180714, 0.5371778799837151, 0.5370771072584578, 0.5369747221695965, 0.5357251403764063, 0.5356231583784459, 0.5355223856531887, 0.5354183882007232, 0.5353107629301483, 0.5347883571224147, 0.5346879874880585, 0.5345872147628011, 0.5344852327648408, 0.534376801312464, 0.5338273884143613, 0.5337270187800051, 0.5336258429638467, 0.5332344416989475, 0.5331340720645913, 0.5330337024302351, 0.5324903358956479, 0.5323859353522813, 0.5322855657179251, 0.5321835837199647, 0.5317752526372223, 0.5316744799119649, 0.5315741102776087, 0.5314733375523514, 0.5313548288274489, 0.5305974210244152, 0.530482943208523, 0.5303813643014637, 0.5302745452126909, 0.5301733693965326, 0.5293853266850207, 0.5292845539597635, 0.5291841843254073, 0.5290826054183478, 0.528460233067159, 0.5283598634328027, 0.5282558659803372, 0.5281514654369707, 0.5273428650895063, 0.527242092364249, 0.5271417227298928, 0.5270397407319325, 0.5265697367413326, 0.5264685609251742, 0.526368191290818, 0.5262625814747484, 0.525717199485656, 0.5256132020331905, 0.5255128323988343, 0.525411656582676, 0.5245123607824801, 0.5244107818754207, 0.5243104122410644, 0.524206414788599, 0.523570337346775, 0.5234683553488148, 0.5233667764417553, 0.5232656006255971, 0.5231575722641213, 0.5227028857277605, 0.5226017099116022, 0.5225009371863449, 0.5223993582792855, 0.5222969731904241, 0.5217060419295155, 0.5216052692042582, 0.521504899569902, 0.5214025144810406, 0.5212993232103772, 0.5207019424950521, 0.5206015728606959, 0.5204999939536364, 0.520382694501437, 0.5202609610493263, 0.5192564585239617, 0.5191560888896055, 0.5190541068916451, 0.5184942136301157, 0.5183938439957595, 0.518290652725096, 0.5181882676362346, 0.5180870918200764, 0.517515105831516, 0.5174147361971598, 0.5173135603810015, 0.517208353655833, 0.5167564887557793, 0.5166516851215117, 0.5165505093053534, 0.5164465118528879, 0.5163437236731255, 0.5155568902343167, 0.5154565205999605, 0.5153557478747032, 0.5152448978769202, 0.5151348540609393, 0.5146442924343869, 0.5145439228000306, 0.5144415377111693, 0.514340361895011, 0.513758701724826, 0.5136559135450636, 0.5135527222744001, 0.5134519495491429, 0.5133479520966773, 0.5125865133846333, 0.5124861437502771, 0.5123857741159209, 0.5119081113982014, 0.5118073386729441, 0.5117069690385879, 0.5116061963133306, 0.5114965555882507, 0.5106258792420278, 0.5105234941531664, 0.5104231245188102, 0.510322754884454, 0.5102223852500978, 0.5101046827069973, 0.5093738789034316, 0.5092735092690752, 0.509172736543818, 0.5090711576367587, 0.5089570829117674, 0.5084358863767369, 0.5083347105605786, 0.5082339378353212, 0.5081307465646578, 0.5080263460212913, 0.5079009847510713, 0.5069924178601516, 0.5068912420439934, 0.506790872409637, 0.5062845902379446, 0.5061834144217863, 0.506081835514727, 0.5059814658803706, 0.5058778715188063, 0.5055384689801398, 0.5054356808003773, 0.505335311166021, 0.5052345384407638, 0.5047173728147435, 0.5046121660895748, 0.5045113933643176, 0.5041212013721215, 0.5040103513743385, 0.5039099817399821, 0.5037979224694961, 0.5032360137534615, 0.5031356441191053, 0.503034065212046, 0.5026079981296582, 0.502507628495302, 0.5024072588609457, 0.502300439772173, 0.5021944268652023, 0.5016716179665677, 0.5015700390595083, 0.501455561243616, 0.5013551916092598, 0.5009053421637113, 0.5008045694384541, 0.5007033936222958, 0.500594559079018, 0.5002233123591702, 0.5001229427248138, 0.5000185421814474, 0.49991776945619004, 0.4998153843673287, 0.4997101776421601, 0.4996065832805956, 0.49834128094226526, 0.49824091130790904, 0.4981405416735528, 0.4976870644098951, 0.49758669477553885, 0.4974851158684795, 0.49738313387051913, 0.496757536792122, 0.49665716715776576, 0.4965567975234095, 0.4964560247981522, 0.49635202734568673, 0.4956796717227702, 0.49557768972480987, 0.4954773200904536, 0.49537614427429527, 0.4949214577379345, 0.49481866955817205, 0.49471749374201374, 0.4946110777441421, 0.49410640793605365, 0.4940056352107964, 0.4939048624855391, 0.4938012681239746, 0.49336834849626937, 0.49326515722560593, 0.4931647875912497, 0.4930636117750914, 0.4929567926863187, 0.4921082863396525, 0.4920079167052962, 0.49190754707094, 0.4918071774365837, 0.4917068078022275, 0.49159152380453314, 0.49104372327003465, 0.49094335363567837, 0.49084298400132215, 0.4907422112760649, 0.49062974891467775, 0.49019642619607146, 0.4900956534708142, 0.4899876251093384, 0.48988564311137806, 0.4897836611134177, 0.4896659585703172, 0.48900005240181715, 0.48889887658565884, 0.4887972976785995, 0.48869088168072783, 0.48815275532785396, 0.48805117642079465, 0.4879504036955374, 0.487848018606676, 0.48773152533627856, 0.4872615213456787, 0.4871611517113224, 0.48705513880435175, 0.4869547691699955, 0.4868535933538372, 0.4863904419085548, 0.48629007227419857, 0.48618889645804025, 0.48608127118746547, 0.4854302793823035, 0.4853291035661452, 0.4852279277499869, 0.48512634884292755, 0.48501832048145177, 0.4842750208599541, 0.4841746512255979, 0.48407428159124166, 0.4836099208732561, 0.4835095512388999, 0.48340837542274157, 0.4833055872429792, 0.48253608671291465, 0.48243571707855837, 0.482333331989697, 0.4816807278209309, 0.48157592418666334, 0.481474748370505, 0.4813731694634457, 0.48127279982908944, 0.4804887880265879, 0.4803876122104296, 0.48028643639427127, 0.48017800494189444, 0.4797188844056223, 0.47961851477126605, 0.47920534659771125, 0.479104976963355, 0.47900420423809775, 0.47889093569490854, 0.47804202625734127, 0.47794165662298504, 0.4778408838977278, 0.47740554572461635, 0.4773047729993591, 0.47720440336500286, 0.4771024213670425, 0.4769972146418739, 0.4768895893712991, 0.47614588665890045, 0.4760451139336432, 0.47594474429928696, 0.4758419561195245, 0.47515992631498327, 0.47505955668062705, 0.47495676850086466, 0.4746758141428474, 0.4745754445084911, 0.4744750748741349, 0.47437188360347143, 0.47332021944268654, 0.4732182374447262, 0.4731178678103699, 0.4730154827215085, 0.4727655663628705, 0.47266519672851426, 0.472564827094158, 0.47245841109628633, 0.4720254914685811, 0.47192230019791764, 0.47181669038184804, 0.47171632074749176, 0.4710806463965689, 0.47098027676221266, 0.47086579894632036, 0.4703579044110237, 0.4702575347766675, 0.47015716514231126, 0.470056392417054, 0.4699447362374689, 0.46927197752365135, 0.4691712047983941, 0.4690647888005224, 0.468962806802562, 0.4685508479017103, 0.4684504782673541, 0.4683501086329978, 0.46824893281683955, 0.4681409044553637, 0.4675084548316491, 0.4674000233792723, 0.467299653744916, 0.4671952532015495, 0.467091658839985, 0.4656820499590863, 0.465580874142928, 0.4654805045085717, 0.46537811941971036, 0.4650189654268934, 0.46491819270163615, 0.4648174199763789, 0.4647166472511216, 0.4646154714349633, 0.4645118770733988, 0.46387096254076254, 0.4637705929064063, 0.4636641769085346, 0.4634255470951254, 0.4633251774607692, 0.46322480782641295, 0.46312363201025464, 0.4630224561940963, 0.46249037620473793, 0.4623892003885796, 0.4622888307542234, 0.462187251847164, 0.4620506040317152, 0.46121338423027775, 0.4611126115050205, 0.46101103259796117, 0.46049064224473263, 0.46039027261037635, 0.460288290612416, 0.4595482157181266, 0.4594470399019683, 0.45934667026761206, 0.45903508100111656, 0.45893390518495825, 0.458833132459701, 0.45825227847131805, 0.45815190883696183, 0.4580515392026056, 0.45794875102284316, 0.4573130766719203, 0.457212303946663, 0.45711153122140574, 0.45648230632489933, 0.456380324326939, 0.4562795516016817, 0.45617918196732543, 0.45548788107206056, 0.4553871083468033, 0.4552750490763172, 0.4551646021694352, 0.4547264423600166, 0.45462607272566036, 0.45452368763679896, 0.45442331800244273, 0.45432093291358133, 0.4533353756605652, 0.453235006026209, 0.45313100857374344, 0.4530306389393872, 0.4523304700442997, 0.4522296973190424, 0.45212932768468617, 0.45202895805032994, 0.45163030114921215, 0.45152993151485593, 0.45142956188049965, 0.45132274279172696, 0.4508732964370795, 0.4507709113482181, 0.4506705417138619, 0.4505689628068026, 0.4500751764530419, 0.44997319445508155, 0.4498728248207253, 0.4497724551863691, 0.44896022702079547, 0.44885905120463715, 0.44875747229757784, 0.44865105629970614, 0.4480988217652963, 0.44799845213094003, 0.4478968732238807, 0.44778803868060285, 0.4473228717808153, 0.44722250214645903, 0.44711890778489455, 0.44698951560566424, 0.4462716107109314, 0.44616277616765354, 0.4460595848969901, 0.4459555874445246, 0.44583828799232517, 0.4455093658170854, 0.44540577145552096, 0.4453054018211647, 0.44520422600500636, 0.445102244007046, 0.4444536707472902, 0.44435249493113194, 0.44425212529677566, 0.4441489340261122, 0.44351406585699144, 0.44341369622263516, 0.4433105049519717, 0.4421713700656635, 0.4420701942495052, 0.44196942152424795, 0.4412938411741232, 0.44119105299436073, 0.4410894740873014, 0.440986282816638, 0.440515472644236, 0.44040945973726536, 0.4403086870120081, 0.4402022710141364, 0.4394315612113688, 0.43933119157701256, 0.4392284033972501, 0.43912642139928976, 0.43902282703772527, 0.4384669646852062, 0.4383649826872458, 0.43826461305288955, 0.43782484087986684, 0.43772245579100544, 0.43762208615664916, 0.4375213134313919, 0.4366828843572514, 0.43658251472289517, 0.43648214508853894, 0.4359907772801844, 0.43589000455492716, 0.43578963492057093, 0.4356876529226106, 0.4353728389289069, 0.4352720662036496, 0.43516766566028303, 0.4347835200316023, 0.43468234421544405, 0.43458036221748364, 0.4344783802195233, 0.43397612895684107, 0.4338757593224848, 0.43377538968812857, 0.43367421387197025, 0.43322315515371873, 0.4331211731557584, 0.43301999733960006, 0.4329014886146975, 0.43239359407940087, 0.4322932244450446, 0.43219285481068836, 0.43209167899453005, 0.4315438784600315, 0.43144310573477423, 0.431342736100418, 0.4312395448297546, 0.4308521744738656, 0.4307514017486083, 0.43064659811434075, 0.4305401821164691, 0.4299323210377172, 0.42983195140336095, 0.4297307755872027, 0.4296304059528464, 0.429098325963488, 0.42899231305651736, 0.42888791251315084, 0.42838767670497374, 0.4282873070706175, 0.4281752478001314, 0.4280740719839731, 0.42797249307691376, 0.42705949218608286, 0.42695912255172663, 0.4268571405537663, 0.42661125510413855, 0.4265108854697823, 0.426410112744525, 0.4263073245647626, 0.4259376902085189, 0.4258320803924493, 0.425731307667192, 0.4256212638512111, 0.424913839319905, 0.4248134696855488, 0.4247126969602915, 0.42434346569494885, 0.4242370496970772, 0.4241366800627209, 0.4240282486103441, 0.42391699552166007, 0.4235594538924473, 0.42345908425809103, 0.42335831153283376, 0.422973762813252, 0.4228733931788958, 0.42277302354453955, 0.4226722508192823, 0.42221151791940603, 0.4221107451941487, 0.42200997246889144, 0.42150127175179275, 0.4214004990265355, 0.4212997263012782, 0.42097644739865286, 0.42087527158249455, 0.4207749019481383, 0.4206725168592769, 0.420216621050213, 0.4201081895978362, 0.42000781996347997, 0.4198933421475877, 0.41979297251323144, 0.4194580039744763, 0.41935763434012, 0.41925565234215967, 0.41883563162328735, 0.4187304248981188, 0.4186296521728615, 0.41852807326580216, 0.4184273005405449, 0.4179826912767098, 0.41788232164235356, 0.41778195200799734, 0.41754412837639016, 0.4174433556511329, 0.41734298601677666, 0.4172426163824204, 0.41672545075640005, 0.4166250811220438, 0.41652027748777626, 0.4158281704107093, 0.4157278007763531, 0.41562662496019476, 0.4155226275077293, 0.4150010278817976, 0.41490025515654033, 0.414798676249481, 0.4146958880697186, 0.41459551843536235, 0.41448265298307424, 0.4138683424499059, 0.4137675697246486, 0.4133104646428816, 0.41321009500852535, 0.4131089191923671, 0.4124518810236896, 0.4123515113893334, 0.4122503355731751, 0.4117803315825752, 0.41167955885731794, 0.41157918922296166, 0.4114711608614859, 0.4111208748684916, 0.41102050523413536, 0.4109201355997791, 0.410807673238392, 0.41010427961609625, 0.41000390998173997, 0.40990354034738374, 0.40950770508257317, 0.40940128908470147, 0.4092932607232257, 0.4091876509071561, 0.40853343437478584, 0.40843266164952857, 0.40831495910642807, 0.40795540202271013, 0.4078550323883539, 0.4077538565721956, 0.4076522776651363, 0.40719073858345795, 0.40708956276729963, 0.4069891931329434, 0.4068888234985872, 0.40623299460261286, 0.4061326249682566, 0.40602822442489006, 0.40571381352208735, 0.4056130407968301, 0.40551267116247386, 0.4054078675282063, 0.405306288621147, 0.40440658973005, 0.4043062200956938, 0.40420585046133756, 0.4041038684633772, 0.40398697210207873, 0.40323238593535227, 0.403131210119194, 0.40302963121213464, 0.40269345340067636, 0.40259308376632014, 0.40249029558655774, 0.4023846857704881, 0.4018348697814844, 0.401732484692623, 0.40163130887646475, 0.40135156379115056, 0.4012507910658933, 0.401150018340636, 0.40104924561537875, 0.400443399991132, 0.40034303035677576, 0.40024185454061745, 0.3998073225493081, 0.39970695291495184, 0.3996057770987935, 0.39950500437353625, 0.3989140731126276, 0.3988112849328652, 0.3987101091167069, 0.39820019912690513, 0.39809942640164786, 0.39799542894918233, 0.39789465622392506, 0.39757702059391414, 0.39747665095955786, 0.3973746689615975, 0.3972718807818351, 0.39687080533531116, 0.39677043570095494, 0.39666966297569767, 0.39656123152332085, 0.39629075752873033, 0.396189984803473, 0.3960839718965024, 0.3959763466259276, 0.3952874642760689, 0.39517580809648384, 0.39507342300762244, 0.39474530701418475, 0.39464493737982853, 0.3945445677454723, 0.3942301568426696, 0.3941297872083133, 0.39402699902855093, 0.39391816448527306, 0.39336794540536835, 0.3932675757710121, 0.3931672061366559, 0.39280643978023483, 0.39270566705497756, 0.3926048943297203, 0.3919091594345441, 0.39180878980018785, 0.3917080170749306, 0.3912775159926315, 0.39117553399467114, 0.3910751643603149, 0.39040563037370557, 0.3903048576484483, 0.39019562001426944, 0.38973730565979936, 0.389635323661839, 0.38894644131198025, 0.38884486240492094, 0.3887436865887626, 0.3886312242273755, 0.38811607405586035, 0.38801570442150407, 0.38791533478714785, 0.38781133733468237, 0.38718130625637387, 0.3870805335311166, 0.3869684742606305, 0.38686810462627425, 0.3867649133556108, 0.38616995118569186, 0.38606958155133564, 0.3859684057351773, 0.385866020646316, 0.3854040784737366, 0.38529806556676593, 0.3851932619324984, 0.3846760963064781, 0.38457492049031977, 0.38447455085596355, 0.3843616854036754, 0.38351841923872254, 0.3834168403316632, 0.38331364906099974, 0.3829831145221559, 0.38288274488779966, 0.3827823752534434, 0.3826787808918789, 0.3821600029022545, 0.38205640854069, 0.3819548296336307, 0.38185002599936313, 0.38118976310347746, 0.38108939346912124, 0.38098862074386397, 0.38051660129875886, 0.38041623166440264, 0.3803158620300464, 0.3802094460321747, 0.3798087736765518, 0.37970477622408627, 0.37960440658973005, 0.37949476586465014, 0.37904975350991404, 0.37894938387555777, 0.3788461926048943, 0.37874541987963706, 0.3781681937093634, 0.37806782407500716, 0.3779674544406509, 0.37786708480629466, 0.3769492468246514, 0.3768488771902952, 0.37674729828323583, 0.3766453162852755, 0.3762115904757682, 0.37611122084141196, 0.37601004502525365, 0.37590362902738195, 0.3750901915891053, 0.374989821954749, 0.3748894523203928, 0.3747826332316201, 0.3741610670622332, 0.3740602943369759, 0.37395710306631247, 0.3738438345231233, 0.3733742336234244, 0.3732730578072661, 0.3731726881729099, 0.3730606289024238, 0.37295784072266136, 0.372287097463349, 0.3721867278289927, 0.3720863581946365, 0.371982763833072, 0.37167278693018063, 0.37157120802312127, 0.371470435297864, 0.37136966257260673, 0.37078719622061973, 0.37068682658626345, 0.37058403840650106, 0.3701603898695195, 0.3700600202351632, 0.36995924750990594, 0.36951141351886263, 0.3694110438845064, 0.36930906188654605, 0.36874957171591766, 0.36864920208156143, 0.36854883244720515, 0.3682481266350375, 0.3681477570006812, 0.368047387366325, 0.3679353280958389, 0.3678204471890456, 0.3676954890097266, 0.3668614939354974, 0.36676112430114116, 0.3666607546667849, 0.3663580334001121, 0.3662572606748548, 0.36615689104049853, 0.3660553121334392, 0.36551920123507053, 0.3654180254189122, 0.36531322178464465, 0.3647847696133955, 0.3646843999790393, 0.364583627253782, 0.3642764719871978, 0.3641732807165344, 0.36407291108217815, 0.36355655163795986, 0.3634493294582861, 0.36334855673302885, 0.3631103300105207, 0.36300996037616445, 0.3629051567418969, 0.3623831540250642, 0.36228278439070793, 0.3621824147563517, 0.36207761112208414, 0.36149635404280017, 0.3613943720448398, 0.36129239004687946, 0.36089695787296994, 0.36079618514771267, 0.36069581551335644, 0.3605946396971981, 0.3601302789792126, 0.3600291031630543, 0.3599255088014898, 0.3594998448100031, 0.35939826590294377, 0.35929588081408237, 0.35919430190702306, 0.35862594373657203, 0.3585255741022158, 0.35842480137695854, 0.3579568128408637, 0.3578564432065075, 0.35775365502674505, 0.3570941983126615, 0.3569926194056022, 0.3568918466803449, 0.3567813997734629, 0.35614733778614416, 0.35604696815178793, 0.35594659851743166, 0.35584098870136205, 0.3549924823546958, 0.35489050035673547, 0.3547889214496761, 0.3541209998266709, 0.35401861473780954, 0.35391824510345327, 0.3536062527460568, 0.3535058831117005, 0.35340390111374015, 0.35330232220668084, 0.3527339640362298, 0.35263077276556637, 0.3525219382222885, 0.3524207624061302, 0.35179879314584234, 0.351696811147882, 0.3515924106045154, 0.3512469617023335, 0.3511453827952742, 0.3510434007973138, 0.35056170717058405, 0.3504609344453268, 0.3503601617200695, 0.349895801002084, 0.3497922066405195, 0.34969022464255917, 0.3491508890169822, 0.349050519382626, 0.3489501497482697, 0.34884373375039807, 0.34829069303418614, 0.3481903233998299, 0.34808874449277055, 0.3477368461361722, 0.34763647650181595, 0.3475357037765586, 0.34743493105130135, 0.34678716397334763, 0.34668639124809036, 0.3465856185228331, 0.34545978563625884, 0.34535941600190256, 0.34525783709484326, 0.3447072149240375, 0.34460603910787924, 0.34450244474631475, 0.34439723802114613, 0.3440126893015644, 0.34391231966720814, 0.34363942712721146, 0.34353825131105314, 0.3434378816766969, 0.3432839009525038, 0.34271070569124046, 0.3426091267841811, 0.3425067416953197, 0.3422245780645993, 0.34212380533934206, 0.3420202109777776, 0.3416271973492742, 0.3415256184422149, 0.34142484571695764, 0.3413244760826014, 0.3408564875465066, 0.3407536993667442, 0.34065212045968485, 0.3405477199163183, 0.34007408810760914, 0.3399737184732529, 0.33987173647529256, 0.3397645142956188, 0.33931668030457546, 0.3392155044884172, 0.33911271630865475, 0.3388265217689241, 0.33872615213456786, 0.3386229608639044, 0.33852218813864715, 0.33754106488554236, 0.3374406952511861, 0.3373379070714237, 0.33697270671509133, 0.33687233708073505, 0.3367715643554778, 0.3361798269127671, 0.33607905418750983, 0.3359786845531536, 0.3355062620171475, 0.3354058923827912, 0.3351209071157637, 0.3350197312996054, 0.3349121060290306, 0.33479077566782084, 0.3346670267612049, 0.3340555378643438, 0.3339547651390865, 0.3338535893229282, 0.332936154432186, 0.3328353817069287, 0.3327338027998694, 0.33263303007461215, 0.33252661407674045, 0.33242019807886874, 0.3320175102687407, 0.3319139159071762, 0.33180911227290866, 0.33170753336584935, 0.3309368235630817, 0.33083645392872546, 0.3307356812034682, 0.33045230830004474, 0.33034669848397513, 0.33024632884961885, 0.32965459140690817, 0.32955422177255195, 0.32945385213819567, 0.32897659251137723, 0.328876222877021, 0.3287698068791493, 0.3283445459785636, 0.3282441763442074, 0.32814300052804907, 0.327726607627286, 0.3276262379929298, 0.3275125663588396, 0.327158249456835, 0.32705787982247875, 0.32694985146100297, 0.3264298641986754, 0.32632868838251716, 0.32622630329365576, 0.32561803912400283, 0.3255176694896466, 0.3254172998552904, 0.32483684895780846, 0.32473647932345223, 0.32463570659819496, 0.3245321122366305, 0.3239383593394146, 0.3238379897050584, 0.32373479843439495, 0.3233264673516525, 0.3232260977172962, 0.3231245188102369, 0.32302253681227655, 0.32235945228008367, 0.3222566641003213, 0.322156294465965, 0.32204463828637997, 0.3216387257490437, 0.32153754993288536, 0.32122596066638986, 0.32112559103203364, 0.3210244152158753, 0.32092364249061806, 0.320410507773608, 0.3203101381392518, 0.3202097685048955, 0.3199719448732884, 0.3198711721480311, 0.3197683839682687, 0.3192822563416276, 0.3191818867072714, 0.31907909852750893, 0.31858893999185756, 0.31848857035750133, 0.318386588359541, 0.3182862187251847, 0.3178008972803457, 0.31769810910058327, 0.31759491782991983, 0.3174897111047512, 0.3173768456524631, 0.31638725749043667, 0.31627882603805985, 0.3161784564037036, 0.3156467795052462, 0.3155456036890879, 0.31544442787292964, 0.31534204278406824, 0.3152372391498007, 0.3144189646207116, 0.31431819189545435, 0.3142150006247909, 0.3139421080847942, 0.3138397229959328, 0.3136800989991253, 0.31355755936521246, 0.313440259913013, 0.312609086475091, 0.3125087168407348, 0.3124083472063785, 0.31189440630756643, 0.3117924243096061, 0.3112889637742207, 0.3111865786853593, 0.3110503339608115, 0.31094714269014806, 0.31059081033363833, 0.3104904406992821, 0.31039007106492583, 0.3098450921667345, 0.30973786998706077, 0.3096346787163973, 0.30913605527182436, 0.3090352825465671, 0.3089349129122108, 0.3088313185506464, 0.30842298746790386, 0.3083222147426466, 0.3082214420173893, 0.3078800240242177, 0.30777965438986143, 0.30767686621009904, 0.3071617160385839, 0.3070613464042276, 0.3069585582244652, 0.30651153041522394, 0.3064111607808677, 0.3063099849647094, 0.3055199267986924, 0.3054195571643361, 0.30531838134817785, 0.3048209671763079, 0.3047205975419517, 0.30430299536848554, 0.3042026257341293, 0.30409661282715866, 0.30363547683638137, 0.303532688656619, 0.30343070665865857, 0.3031811933909216, 0.30308082375656537, 0.30297884175860496, 0.3022206277737693, 0.302120258139413, 0.30201505141424445, 0.30191145705267997, 0.3014063841536905, 0.30130601451933425, 0.30101175816158304, 0.3009109854363258, 0.3008106158019695, 0.30070742453130606, 0.3002067856322279, 0.30010601290697064, 0.3000052401817134, 0.2999000334565448, 0.2995682896449978, 0.2994679200106416, 0.2993671472853843, 0.299265568378325, 0.2991623771076615, 0.29866899384480194, 0.2985686242104457, 0.29846825457608944, 0.2983582107601085, 0.29781726277092746, 0.29771608695476914, 0.29761450804770984, 0.29728195805436086, 0.2971815884200046, 0.29708121878564836, 0.2966966700660666, 0.29659630043171037, 0.29647174534329235, 0.2963713757089361, 0.2957639177210853, 0.295663548086729, 0.2955631784523728, 0.29546200263621447, 0.2953600206382541, 0.29524997682227316, 0.29462679828928223, 0.2945256224731239, 0.2943926024757843, 0.29427651229628793, 0.29417130557111937, 0.2936916273988947, 0.2935912577645385, 0.29348685722117196, 0.293182120499994, 0.29308134777473666, 0.29297976886767735, 0.2923888376067687, 0.2922872586997094, 0.2921836643381449, 0.2919534994336573, 0.29185312979930106, 0.2917527601649448, 0.29164432871256796, 0.29109249726905917, 0.2909921276347029, 0.2908913549094456, 0.29046045073624555, 0.2903596780109883, 0.290258905285731, 0.2901585356513747, 0.2898280011125309, 0.28972682529637256, 0.2896248432984122, 0.28952407057315493, 0.2890468109463365, 0.2889464413119803, 0.28864654168161463, 0.28854576895635736, 0.288443786958397, 0.2879129162417417, 0.2878125466073854, 0.2877121769730292, 0.2876045517024544, 0.2868729417170866, 0.28677216899182933, 0.28667139626657206, 0.2865524844507685, 0.2858982679183983, 0.285797898284042, 0.28569712555878474, 0.28558305083379354, 0.28501428957244146, 0.2849135168471842, 0.28481153484922384, 0.28435846067646714, 0.2842580910421109, 0.28415772140775464, 0.28405211159168503, 0.28341643724076215, 0.28331606760640593, 0.28321529488114866, 0.28311290979228726, 0.28254334234913314, 0.2824429727147769, 0.28234219998951965, 0.2820814001765538, 0.2819798212694945, 0.28187703308973205, 0.28146265564347417, 0.2813622860091179, 0.2808757552915758, 0.28077377329361547, 0.2806734036592592, 0.28056618147958545, 0.28002603967220646, 0.27992567003785024, 0.279645521861635, 0.27954112131826847, 0.27944075168391225, 0.2789634920570938, 0.2788623162409355, 0.27875186933405355, 0.2783056477066143, 0.2782052780722581, 0.27810410225609977, 0.27771068553669537, 0.27761031590233914, 0.2775095431770819, 0.2771435366389475, 0.2770431670045912, 0.2769423942793339, 0.27671142319304426, 0.27661105355868804, 0.27650745919712355, 0.2764054771991632, 0.2759382948448705, 0.2758375221196132, 0.27573271848534564, 0.2753896881285699, 0.2752893184942136, 0.27518572413264913, 0.2748959017748092, 0.274795532140453, 0.27469516250609677, 0.2745843125083138, 0.2738148119782492, 0.27371444234389297, 0.27349112998472286, 0.27339076035036664, 0.27328716598880215, 0.27318599017264383, 0.2726700338193266, 0.2725664394577621, 0.2724660698234059, 0.27236489400724756, 0.2718916652894394, 0.2717912956550832, 0.27169052292982593, 0.2712975093013225, 0.2711971396669663, 0.271095963850808, 0.27040627531914724, 0.27030268095758275, 0.27020150514142444, 0.27010073241616717, 0.2699898824183842, 0.2698834664205125, 0.2697826936952552, 0.2696702313338681, 0.2692433580696783, 0.26914258534442104, 0.26904221571006476, 0.26878988080602056, 0.2686891080807633, 0.26832471390623297, 0.2682235380900747, 0.26812074991031226, 0.2677055662822523, 0.267604793556995, 0.26750402083173774, 0.26739921719747023, 0.2670215210232059, 0.26692074829794865, 0.26681916939088934, 0.2667103348476115, 0.26625806685665687, 0.2661576972223006, 0.2660569244970433, 0.2659505084991716, 0.26557926177932384, 0.2654788921449676, 0.26537529778340313, 0.26526888178553143, 0.2649206112470423, 0.2648166137945768, 0.2647154379784185, 0.26460620034423965, 0.26417811780734674, 0.2640777481729905, 0.26397334762962393, 0.26373753945252193, 0.2636359605454626, 0.2635347847293043, 0.26342756254963057, 0.26293982255938536, 0.26283945292502914, 0.26273706783616774, 0.26209333166722426, 0.261992558941967, 0.2616749233119561, 0.2615741505866988, 0.2614697500433323, 0.2613593031364503, 0.26047089079058217, 0.26037052115622594, 0.25997387970961333, 0.25985899880282004, 0.25975822607756277, 0.2596562440796024, 0.259553858990741, 0.25875815755210957, 0.25865778791775335, 0.25803864029377266, 0.2579382706594164, 0.2576262783020199, 0.2575251024858616, 0.2574243297606043, 0.25731831685363366, 0.25665442613963874, 0.2565540565052825, 0.25645207450732216, 0.2561021916052289, 0.2560018219708727, 0.25590104924561535, 0.2556724967047319, 0.25557212707037563, 0.2554705481633163, 0.2553455899839973, 0.254800611085806, 0.2546998383605487, 0.2545188505459866, 0.25441807782072934, 0.2543169020045711, 0.2538997029220059, 0.25379893019674865, 0.2535582849288343, 0.25345630293087396, 0.2530890871200364, 0.252985895849373, 0.2528831076696106, 0.2524074604063962, 0.25230628459023796, 0.25201928386870526, 0.2519177049616459, 0.25180040550944643, 0.2514424607893326, 0.2513416880640753, 0.251240109157016, 0.25100188243450783, 0.25090151280015155, 0.25080033698399323, 0.25068545607719994, 0.2503895873558446, 0.25028881463058733, 0.250186832632627, 0.2497785015498845, 0.24967813191552826, 0.2495761499175679, 0.24946005973807153, 0.24935928701281426, 0.2492492431968333, 0.24871393848026668, 0.24861356884591043, 0.2482403066715575, 0.24813993703720125, 0.24803876122104296, 0.2479339575867754, 0.24731279450828955, 0.24721040941942818, 0.24710600887606163, 0.2468810841532874, 0.24677950524622808, 0.2466783294300698, 0.24656667325048473, 0.24615229580422682, 0.24605192616987057, 0.24593261126316596, 0.24539448491029212, 0.24529411527593586, 0.24518931164166832, 0.24489062128400577, 0.24479025164964952, 0.24468988201529326, 0.2442440634787551, 0.24414369384439885, 0.24404251802824053, 0.24342740131327015, 0.24332703167891392, 0.2432258558627556, 0.24312387386479525, 0.24249908296820016, 0.2423971009702398, 0.24228665406335784, 0.2418541375265536, 0.24175376789219738, 0.24142847353506688, 0.24132810390071066, 0.24122652499365133, 0.2408399608195644, 0.24073636645799995, 0.24063559373274268, 0.24014341974258616, 0.2400426470173289, 0.2399406650193685, 0.2395383803001415, 0.23943801066578524, 0.2393364317587259, 0.23878984049693047, 0.23868947086257422, 0.23858910122821797, 0.23835571159652214, 0.23825453578036382, 0.2381541661460076, 0.23782403469806476, 0.2377176187001931, 0.2374519817964149, 0.23735040288935558, 0.23724882398229624, 0.23687798035334948, 0.23677761071899325, 0.23635476836381372, 0.23625278636585337, 0.23615161054969505, 0.23591580237259305, 0.23581502964733578, 0.23571385383117746, 0.23561227492411813, 0.23513743384270586, 0.23503504875384448, 0.23491734621074398, 0.234640422761737, 0.23454005312738074, 0.23443968349302452, 0.23400958550162648, 0.23390921586727023, 0.23380804005111192, 0.23368670968990218, 0.23333158660609554, 0.23323081388083827, 0.23304055497555254, 0.2329401853411963, 0.23283981570684004, 0.23273783370887968, 0.23229120899053946, 0.23218882390167805, 0.23207797390389506, 0.2318167710000282, 0.23171640136567198, 0.23138909155403636, 0.2312887219196801, 0.2311875461035218, 0.23108516101466042, 0.23062402502388313, 0.2305236553895269, 0.23036201593821423, 0.23026164630385798, 0.2301608735786007, 0.22961992558941968, 0.22951955595506343, 0.2289439421483939, 0.22884236324133456, 0.2287323194253536, 0.22833285634243378, 0.22823248670807753, 0.22812123361939352, 0.22786527089724004, 0.2277649012628838, 0.22762059472031537, 0.22751941890415708, 0.22741743690619673, 0.2270248263685944, 0.22692445673423814, 0.2265124978333864, 0.22641212819903017, 0.22603201347935972, 0.2259316438450035, 0.2255426611255104, 0.22543906676394593, 0.2251891504053079, 0.22508878077095165, 0.22498357404578306, 0.22452284114590682, 0.22442206842064955, 0.22420077151598458, 0.22410040188162833, 0.22399680752006385, 0.22366183898130867, 0.22356146934695242, 0.22345182862187252, 0.2230789695384206, 0.22297537517685614, 0.2226633828194596, 0.22256301318510338, 0.2224497446419142, 0.22234131318953737, 0.2219358037431021, 0.22183503101784482, 0.22173103356537932, 0.22140735157185296, 0.22130254793758541, 0.22119371339430755, 0.22088897667312957, 0.22078497922066406, 0.22067936940459443, 0.22030731650294458, 0.22020694686858833, 0.2201065772342321, 0.21955192415441607, 0.21945155452005982, 0.21934675088579225, 0.21893197034863332, 0.21883160071427707, 0.2184647879943406, 0.21836361217818231, 0.21801413236699008, 0.2179133596417328, 0.21781258691647554, 0.21771141110031722, 0.21731799438091284, 0.2172176247465566, 0.2171164489303983, 0.2166537005760169, 0.21655333094166065, 0.21644933348919515, 0.21616394513126655, 0.21606156004240518, 0.21575682332122717, 0.21565363205056373, 0.21555285932530646, 0.21534365514767234, 0.21524247933151405, 0.2151421096971578, 0.21504133697190053, 0.21458020098112326, 0.21447902516496495, 0.2143786555306087, 0.21427828589625247, 0.2139199380852376, 0.21381956845088135, 0.21346081754896545, 0.21336044791460923, 0.21325967518935196, 0.21315567773688646, 0.2127171148365668, 0.21261513283860645, 0.21240351011556616, 0.2123031404812099, 0.2121838255745053, 0.21183757049052132, 0.21173437921985788, 0.21163320340369957, 0.21121640741203548, 0.21111603777767923, 0.2107842939661323, 0.21068352124087503, 0.21015063506971457, 0.21005026543535832, 0.20978019453166882, 0.2096798248973126, 0.20957905217205533, 0.20936742944901504, 0.2092670598146588, 0.20916467472579742, 0.20875473127945082, 0.20865436164509457, 0.20834720637851042, 0.20824683674415417, 0.20814445165529277, 0.2079158991144093, 0.20781552948005305, 0.20770064857325976, 0.20741526021533116, 0.20731247203556874, 0.20681908877270913, 0.20671871913835288, 0.20642285041699754, 0.2063224807826413, 0.206221304966483, 0.20594115679026778, 0.2058403840650105, 0.20561384697863216, 0.2055134773442759, 0.20510272771612725, 0.20500155189996896, 0.2046153908167831, 0.20451461809152582, 0.20434088591318228, 0.20424051627882603, 0.20398011955676124, 0.20387854064970193, 0.2037745431972364, 0.20345529520362138, 0.203353313205661, 0.20325294357130477, 0.2029582841226525, 0.2028571083064942, 0.2027547232176328, 0.2024092743154509, 0.2023068892265895, 0.20220490722862913, 0.20167927669368718, 0.20157890705933096, 0.2014785374249747, 0.20137534615431127, 0.20102465707041595, 0.20092186889065353, 0.20052966144395223, 0.20042848562779392, 0.20014067872445915, 0.2000403090901029, 0.19993953636484563, 0.19955780928157107, 0.19945743964721485, 0.19935465146745243, 0.1990075902016664, 0.1989068174764091, 0.1985214625750253, 0.198420286758867, 0.19831951403360973, 0.1982098733085298, 0.1979160200416796, 0.19773946622702887, 0.19763909659267262, 0.19753751768561328, 0.1970929084217782, 0.1969917326056199, 0.19630526880116736, 0.1962044960759101, 0.19584534208309315, 0.19574497244873693, 0.19535478045654076, 0.1952527984585804, 0.19495934828263123, 0.19485857555737393, 0.19475780283211666, 0.19465219301604705, 0.19394960557555335, 0.1938492359411971, 0.19345944703990198, 0.19335827122374366, 0.19325709540758537, 0.1928419117795254, 0.19273992978156504, 0.19238561287956046, 0.1922848401543032, 0.19185635452650926, 0.19175598489215304, 0.1912803376289387, 0.19117674326737422, 0.19092602072693413, 0.19082524800167686, 0.1907232660037165, 0.19012386983388624, 0.19002350019953, 0.1896800667518532, 0.1895788909356949, 0.1893503383948114, 0.18924996876045516, 0.1891439558534845, 0.18860502331880863, 0.188499413502739, 0.18839904386838277, 0.18829665877952137, 0.18797337987689605, 0.18768960388257155, 0.18758721879371018, 0.1874211453424862, 0.18731996952632787, 0.18721959989197165, 0.1866673653575618, 0.18656699572320554, 0.18622759318453905, 0.18612641736838073, 0.18601838900690496, 0.18566326592309831, 0.18556289628874206, 0.1854552710181673, 0.18476034230479316, 0.1846599726704369, 0.18441771503891843, 0.1843161361318591, 0.1842121386793936, 0.18373326668897103, 0.1836304785092086, 0.18348012560312477, 0.18337894978696645, 0.18327858015261023, 0.18257518653031446, 0.18247360762325512, 0.1823708194434927, 0.18226762817282927, 0.18187662999883103, 0.1817762603644748, 0.18152715018763882, 0.18142637746238155, 0.18123813401160097, 0.18113695819544265, 0.1810365885610864, 0.180933800381324, 0.1806871087498942, 0.18058552984283485, 0.18046500566342716, 0.17999621094553034, 0.1798958413111741, 0.17970517931498733, 0.17960480968063108, 0.1792488804150224, 0.1791477045988641, 0.1788917418767106, 0.17877605478811526, 0.17867286351745182, 0.17829919825219787, 0.17819842552694057, 0.17799043062200956, 0.17789006098765334, 0.17771310408210156, 0.1776127344477453, 0.17751155863158702, 0.17718948900166476, 0.17708791009460542, 0.1767589879193657, 0.1766509595578899, 0.17654776828722646, 0.17611122084141195, 0.1760108512070557, 0.17577625230265678, 0.17567507648649847, 0.17519821995058105, 0.17509785031622482, 0.17499465904556136, 0.174449277056469, 0.17434890742211276, 0.17410342506338605, 0.17400265233812878, 0.17390147652197047, 0.1738007037967132, 0.17336335016909662, 0.1732629805347404, 0.17279257345323945, 0.1726853512735657, 0.17226855528190163, 0.17216818564754538, 0.1716002305679954, 0.17149986093363914, 0.17128541657429167, 0.17117617894011278, 0.17098148603491573, 0.1708811164005595, 0.17068682658626347, 0.17058524767920413, 0.17048165331763965, 0.17037604350157004, 0.17027527077631277, 0.16999673496370166, 0.1698959622384444, 0.16979559260408814, 0.16952310315499247, 0.1694223304297352, 0.16912243079936956, 0.1690220611650133, 0.16803045754848175, 0.1679300879141255, 0.16764228101079073, 0.16754029901283038, 0.1671553472023476, 0.16705457447709032, 0.166759108846636, 0.1666579330304777, 0.1660468472245176, 0.16594647759016135, 0.1656893055953048, 0.16558772668824548, 0.1652668663310263, 0.16516448124216493, 0.16506088688060044, 0.16440707343913125, 0.1642301165335795, 0.1641277314447181, 0.16400519181080525, 0.16353276927479915, 0.16343159345864086, 0.16288580837864747, 0.1627838263806871, 0.16247384947779575, 0.1623734798434395, 0.16193532003402086, 0.1618345473087636, 0.16173216221990222, 0.16153464767839795, 0.1614314564077345, 0.16133108677337826, 0.16091066296360493, 0.16081029332924868, 0.16070992369489243, 0.16045799188174925, 0.1603560098837889, 0.1601484180697589, 0.16004764534450164, 0.15993760152852068, 0.1596441513525715, 0.1595437817182153, 0.15937730517609025, 0.15927693554173403, 0.1590774055457246, 0.15897260191145704, 0.1588319231869979, 0.1587307473708396, 0.15846793210336863, 0.15836595010540827, 0.1580930575654116, 0.15799026938564917, 0.15778227448071816, 0.1576819048463619, 0.15731831685363365, 0.15721714103747536, 0.15709782613077075, 0.15699705340551348, 0.15689668377115723, 0.15679591104589996, 0.1563654099636009, 0.15626504032924465, 0.15611226887775462, 0.15601189924339837, 0.15547981925403997, 0.1553790465287827, 0.1552335307135112, 0.15513316107915495, 0.15489896526565705, 0.15479778944949876, 0.15469661363334045, 0.15458132963564614, 0.15413107709919663, 0.15403030437393936, 0.15373121092537578, 0.15362963201831645, 0.1533434374785858, 0.15323460293530794, 0.1530221740304656, 0.15269163949162176, 0.1525912698572655, 0.15234780295304395, 0.1522474333186877, 0.15208982477638533, 0.15198179641490953, 0.1518802175078502, 0.1514799482431283, 0.15137917551787103, 0.1512082649758347, 0.15110628297787435, 0.15070359516774628, 0.15060161316978593, 0.1504891508083988, 0.1500884784527759, 0.14998810881841965, 0.14975794391393202, 0.1496575742795758, 0.14937944155786573, 0.1492782657417074, 0.14902794629216834, 0.14892596429420799, 0.14870668284404817, 0.14859986375527545, 0.1484632159398266, 0.14836284630547034, 0.14815082049152906, 0.14804964467537074, 0.14790291958739615, 0.14780134068033682, 0.14761591886586345, 0.14734746032577806, 0.1472466876005208, 0.14686858833535552, 0.14676781561009825, 0.14666663979393993, 0.1465126590697468, 0.14641228943539059, 0.14615874525864328, 0.14595881217173284, 0.1458584425373766, 0.1455674109068336, 0.14546704127247737, 0.1452945183668369, 0.14519092400527242, 0.144963177646191, 0.14471567983295913, 0.1446141009258998, 0.14437385874888647, 0.14427348911453022, 0.14394497003019152, 0.14376357912472842, 0.14366280639947115, 0.14339152622307857, 0.14329115658872232, 0.14307913077478102, 0.14291870059617146, 0.14281792787091416, 0.14234147442589778, 0.14224070170064051, 0.1419827235239819, 0.14188114461692256, 0.14164090243990923, 0.14131963899178904, 0.1412192693574328, 0.14088792863678687, 0.14078755900243065, 0.14068275536816308, 0.14034698064760584, 0.14008094065292664, 0.1399805710185704, 0.1396468117525183, 0.1395428143000528, 0.13929571957772197, 0.13919454376156368, 0.13897647158410692, 0.13887569885884965, 0.13868624613536598, 0.13858426413740563, 0.1382763026890194, 0.13817593305466316, 0.13785587887924605, 0.1373274267079969, 0.1371428110753256, 0.13691587089804622, 0.13681469508188793, 0.13653857781468298, 0.13643820818032676, 0.1363281643643458, 0.13613508382275286, 0.13603471418839663, 0.13579205346597711, 0.13568845910441263, 0.13551029292615777, 0.13540992329180154, 0.13508422584377003, 0.1348468053030639, 0.13474603257780662, 0.1343312520406477, 0.13423088240629144, 0.13392614568511346, 0.1338257760507572, 0.13352184551138127, 0.13341825114981679, 0.13326265806201956, 0.13315825751865304, 0.13293978225029526, 0.132839412615939, 0.13273783370887968, 0.13247018135059638, 0.13236295917092264, 0.13203645554108906, 0.13193487663402975, 0.13170189009323494, 0.13160152045887868, 0.1312302737390309, 0.13112305155935716, 0.13097310174417434, 0.1308727321098181, 0.1306594970231737, 0.13055872429791643, 0.13036000048370908, 0.13025801848574872, 0.12992990249231104, 0.1298295328579548, 0.12949456431919962, 0.1293236537771633, 0.12922207487010395, 0.12907817141843658, 0.12897377087507003, 0.12887340124071378, 0.12864807342703855, 0.12854689761088023, 0.12835825106919863, 0.12825586598033722, 0.12810228834704515, 0.1279882136220539, 0.12764397399257507, 0.12754360435821882, 0.12744000999665434, 0.12733923727139707, 0.12719089981981838, 0.12708690236735287, 0.1269421927338834, 0.12683980764502203, 0.126562078014213, 0.12646049910715365, 0.1263585171091933, 0.12610456984154497, 0.12595462002636215, 0.12585062257389665, 0.12540157931015022, 0.125301209675794, 0.12462321078026306, 0.12442489005695674, 0.12431686169548095, 0.12416570260759503, 0.12406049588242644, 0.12390208115832202, 0.1237992929785596, 0.12369005534438071, 0.12332324262444423, 0.12322126062648388, 0.1227186062729006, 0.12260695009331554, 0.12250617736805827, 0.12240580773370202, 0.12216516246578767, 0.12197006646968958, 0.12180721774567382, 0.12170684811131759, 0.1213537404820161, 0.12125337084765986, 0.12108931285094102, 0.1209063095818738, 0.1207898163114764, 0.12058020904294127, 0.12036536159269277, 0.12017349032380292, 0.12006989596223844, 0.11987479996614037, 0.1196051321533519, 0.11940116815743118, 0.11929999234127288, 0.11919921961601561, 0.11899001543838152, 0.11883966253229766, 0.11866230253584485, 0.11855991744698346, 0.11828984654329398, 0.11818746145443258, 0.1180504105480827, 0.1179492347319244, 0.11784886509756816, 0.11774849546321191, 0.11754493455819222, 0.11744456492383597, 0.1172619647456698, 0.1171567580205012, 0.11691570966168581, 0.11677382166452356, 0.11661984094033045, 0.11642756658053957, 0.11625544676580016, 0.11603495604293725, 0.11593297404497688, 0.1158209147744908, 0.11572014204923352, 0.11556535514323835, 0.11540452187372774, 0.11530173369396532, 0.11514251278805883, 0.11504214315370259, 0.11494096733754429, 0.11478335879524192, 0.11462252552573131, 0.11439679462115501, 0.11427143335093497, 0.11411261553592951, 0.11401224590157326, 0.11377280990636199, 0.11364865790884503, 0.11349346791194882, 0.1133906797321864, 0.11326894628007562, 0.11316494882761012, 0.11297589919502747, 0.1127795939262263, 0.112678418110068, 0.11246357065981949, 0.11236158866185914, 0.11217898848369295, 0.1120229923049947, 0.11188150739873348, 0.11177992849167416, 0.11157435213214932, 0.11147277322508999, 0.1113413655913545, 0.11116521486760479, 0.11106121741513929, 0.1109491581446532, 0.11067989342276577, 0.11052147869866133, 0.11041989979160201, 0.11029534470318401, 0.11019457197792674, 0.11004059125373362, 0.1097838223497781, 0.10968184035181774, 0.1095814707174615, 0.1094097539936231, 0.10930777199566274, 0.10919168181616637, 0.10909090909090909, 0.10899053945655285, 0.1088901698221966, 0.10869789546240573, 0.10859631655534639, 0.1084439481947574, 0.10833753219688572, 0.10798684311299041, 0.1074116323972219, 0.10730441021754816, 0.10705771858611836, 0.10681667022730296, 0.10659255168633078, 0.10648573259755807, 0.10610440860518455, 0.10585932933735887, 0.10571945679470178, 0.10561666861493936, 0.10550178770814607, 0.1053611089836869, 0.1052571115312214, 0.1048245949944172, 0.10467666063373951, 0.10457467863577916, 0.1044743090014229, 0.10437353627616563, 0.10411313955410084, 0.1040127699197446, 0.10388176537691014, 0.10378058956075184, 0.10337588629611864, 0.1031703099365938, 0.10297037684968337, 0.10281478376188614, 0.10264024540174055, 0.1025370541310771, 0.10231132322650081, 0.10219765159241061, 0.10204770177722779, 0.10194733214287154, 0.10184615632671323, 0.101745786692357, 0.101621231603939, 0.10151763724237453, 0.10141726760801828, 0.10125159724769532, 0.10115122761333908, 0.1010169983432964, 0.10065058871426096, 0.10047040708150094, 0.1003643941745303, 0.10002982872667615, 0.09992220345610138, 0.09977265673181959, 0.09967228709746336, 0.0995622432814824, 0.09942761092053869, 0.09932562892257833, 0.0990370158374415, 0.09893503383948114, 0.09880201384214155, 0.09866778457209885, 0.09854484184728499, 0.09835297057839514, 0.09817964149095262, 0.09807927185659639, 0.09783338640696863, 0.09773261368171136, 0.09751051059524433, 0.09741014096088808, 0.09728195805436084, 0.09697077187876638, 0.09686677442630087, 0.09676640479194464, 0.09666401970308325, 0.09655437897800333, 0.09645400934364709, 0.0963101058919797, 0.09613637371363616, 0.09603560098837889, 0.09593442517222059, 0.09582679990164582, 0.09560953390599114, 0.0955091642716349, 0.09540758536457557, 0.09526690664011642, 0.09516371536945296, 0.09495692973722504, 0.0948565601028688, 0.09475457810490844, 0.09453973065465993, 0.09441477247534091, 0.09425353611492927, 0.09415155411696892, 0.09405118448261267, 0.09382505048713535, 0.09365373685419799, 0.09355296412894072, 0.09344977285827727, 0.09332723322436443, 0.09322605740820612, 0.09312568777384989, 0.09264600960162526, 0.09243761160579322, 0.0922433217914972, 0.09213287488461523, 0.09203250525025898, 0.09185917616281648, 0.09175880652846023, 0.09162094944030828, 0.09151977362414998, 0.0914173885352886, 0.09118198344908761, 0.09108161381473136, 0.090938113453965, 0.09077808636625645, 0.09064264782351068, 0.09041046746451792, 0.09030969473926065, 0.09004405783548249, 0.08991829347436141, 0.08980865274928149, 0.0896716018429316, 0.08957123220857535, 0.089427731847809, 0.08930922312290644, 0.0892088534885502, 0.08906212840057562, 0.08888839622223207, 0.08878560804246965, 0.08861792222764156, 0.08851755259328531, 0.08841718295892907, 0.08825433423491331, 0.0880781835111636, 0.08797741078590633, 0.08787421951524288, 0.08777344678998561, 0.08766461224670775, 0.08743646279672529, 0.0873284344352495, 0.08722685552819016, 0.08711882716671436, 0.08686729844447222, 0.08676692881011597, 0.08662786244926093, 0.08643397572586595, 0.08620864791219068, 0.08609860409620973, 0.0859748551895938, 0.08581523119278628, 0.08571445846752901, 0.08560280228794395, 0.08539843520112221, 0.08529806556676596, 0.08509893866165759, 0.08492560957421508, 0.08472285485099745, 0.08458177303563727, 0.08442053667522563, 0.08423068086084093, 0.0840210735923058, 0.08389571232208576, 0.08377317268817291, 0.08367280305381666, 0.08357243341946043, 0.083469645239698, 0.08331324597009872, 0.08310484797426668, 0.08300367215810837, 0.08287145834257083, 0.08265016143790586, 0.08248973125929629, 0.08238936162494004, 0.08227286835454263, 0.08214831326612465, 0.08204270345005502, 0.08194193072479775, 0.08184115799954048, 0.0817403852742832, 0.08161784564037036, 0.08151505746060794, 0.0813953394630023, 0.08128247401071416, 0.0811764611037435, 0.0810752852875852, 0.08092856019961062, 0.08082657820165025, 0.08070726329494564, 0.08045331602729731, 0.08031384657554125, 0.0801941285779356, 0.0800929527617773, 0.07996154512804182, 0.07983215294881149, 0.07970719476949246, 0.07959352313540226, 0.07947702986500486, 0.07933232023153541, 0.07923154750627814, 0.07913077478102087, 0.07902959896486257, 0.0788719904225602, 0.07877121769730291, 0.07867004188114461, 0.07855113006534103, 0.07841085443178292, 0.07830161679760403, 0.0781141795286255, 0.07801380989426926, 0.07787917753332554, 0.0777788078989693, 0.07767843826461306, 0.07757444081214755, 0.07746036608715631, 0.07735959336189904, 0.07719472918337815, 0.07705203500441385, 0.07693191391590717, 0.07679244446415111, 0.07667071101204033, 0.07653769101470073, 0.07635388156383147, 0.07623658211163199, 0.07597860393497338, 0.0758778312097161, 0.07577746157535986, 0.07567588266830053, 0.07553802558014858, 0.07543765594579234, 0.07533728631143609, 0.07517443758742035, 0.07503738668107045, 0.07489590177480923, 0.07475320759584494, 0.07462260614391152, 0.0743827670577992, 0.07428078505983884, 0.07406029433697593, 0.07393977015756824, 0.07381279652374408, 0.07358908107367293, 0.07348871143931668, 0.07333593998782666, 0.0732355703534704, 0.07312068944667711, 0.07301709508511264, 0.07274783036322521, 0.07263939891084839, 0.07253902927649214, 0.07231652309912408, 0.07218350310178448, 0.07208232728562618, 0.07197228346964524, 0.07181991510905625, 0.07171148365667941, 0.07161030784052111, 0.07147728784318151, 0.07137691820882527, 0.07127654857446902, 0.0711749696674097, 0.07107460003305345, 0.07088232567326258, 0.07075696440304254, 0.0705751704066784, 0.07040143822833488, 0.07029905313947349, 0.07019787732331519, 0.070056795507955, 0.06995521660089567, 0.06985484696653943, 0.06975447733218318, 0.06936751006719526, 0.06920063043416921, 0.06909542370900061, 0.06887170825892946, 0.06875763353393824, 0.06860728062785439, 0.06843475772221394, 0.06833438808785769, 0.06820983299943971, 0.06809172736543818, 0.06792968482322448, 0.0678204471890456, 0.06763542846547325, 0.06753465574021597, 0.06743347992405767, 0.06729602592680675, 0.06710052683980765, 0.06699532011463905, 0.0668893072076684, 0.06676636448285453, 0.06659948484982849, 0.06642414030788082, 0.06632336758262355, 0.06622299794826732, 0.06610650467786991, 0.06592511377240681, 0.06574291668514166, 0.06564254705078543, 0.06554217741642918, 0.06535151542024242, 0.06525114578588617, 0.06515077615152993, 0.06505040651717368, 0.06484644252125296, 0.06470777925129896, 0.06457354998125628, 0.064472777255999, 0.06432685834982647, 0.06420310944321053, 0.06410233671795326, 0.06395359617547353, 0.06383307199606583, 0.06372262508918386, 0.06362144927302556, 0.06352107963866932, 0.06342030691341205, 0.06331872800635271, 0.06315386382783181, 0.06303817673923647, 0.06293498546857301, 0.06279067892600461, 0.0626588682013681, 0.0625399563855645, 0.06237428602524155, 0.06224650620961533, 0.06214613657525909, 0.06204536385000181, 0.061932901488614696, 0.06179826912767098, 0.06166283058492521, 0.06156246095056896, 0.06146209131621272, 0.06135406295473692, 0.0612262831391107, 0.061125510413853425, 0.06099289350741486, 0.060865516782689665, 0.060736930785261385, 0.060607135515130015, 0.06050676588077377, 0.060406396246417526, 0.06030602661206129, 0.06020525388680401, 0.06010488425244777, 0.060004514618091524, 0.05990414498373528, 0.05977757444081215, 0.05967720480645591, 0.05949258917378458, 0.05939221953942834, 0.05929144681417106, 0.05909756009077607, 0.05895083500280148, 0.05879806355131146, 0.05861062628233293, 0.05843770028579145, 0.058337330651435204, 0.05823696101707896, 0.05813578520092066, 0.058022516657731484, 0.05792214702337524, 0.057815327934602534, 0.05771455520934526, 0.057613379393186955, 0.0575113973952266, 0.05740699685186006, 0.057306224126602794, 0.05720545140134552, 0.05710508176698927, 0.05700108431452377, 0.05689829613476135, 0.05677857813715571, 0.05667699923009638, 0.05657542032303705, 0.056475050688680806, 0.05637347178162147, 0.05627310214726523, 0.056172329422007956, 0.05607075051494863, 0.05596997778969135, 0.05583736088325278, 0.055726913976370814, 0.05562573816021251, 0.05552536852585627, 0.05540000725563622, 0.05529681598497277, 0.055152912533305384, 0.05500014108181536, 0.05489977144745912, 0.054798595631300816, 0.05469822599694457, 0.05459785636258833, 0.05448700636480533, 0.05438341200324085, 0.05428263927798358, 0.054181060370924246, 0.054080690736568, 0.05398032110221176, 0.05387793601335037, 0.05375579947033855, 0.05363366292732674, 0.05353248711116844, 0.05343050511320808, 0.05325395129855734, 0.053153581664201095, 0.05304998730263662, 0.05294961766828037, 0.05284924803392413, 0.05274363821785451, 0.052643268583498264, 0.052497349677325736, 0.05231233095375338, 0.052211961319397135, 0.05211078550323883, 0.05193100696137986, 0.05182942805432053, 0.051728655329063254, 0.05160772805875453, 0.051498490424575646, 0.051397717699318377, 0.051296541883160074, 0.051126034432024764, 0.05098898352567487, 0.05088861389131863, 0.05077413607542637, 0.05067296025926807, 0.05056654426139639, 0.050466174627040145, 0.05036096790187155, 0.050260598267515305, 0.050156197724148775, 0.05005582808979253, 0.04995545845543629, 0.04985387954837695, 0.04968095355183547, 0.04957977773567717, 0.0494346650113067, 0.04933429537695046, 0.04923392574259421, 0.04909405319993712, 0.04897272283872736, 0.04886993465896494, 0.0487695650246087, 0.048668389208450395, 0.04856801957409415, 0.04845958812171733, 0.04835881539646006, 0.04822660158092251, 0.048125022673863184, 0.048022234494100764, 0.04791299685992188, 0.04781262722556564, 0.047712257591209395, 0.047547393412688495, 0.04744702377833225, 0.04734665414397601, 0.047244672146015645, 0.04712334178480589, 0.04702015051414245, 0.0469044634255471, 0.04680248142758674, 0.04669848397512123, 0.04659811434076499, 0.046494923070101536, 0.04637318961799075, 0.04624823143867173, 0.046147861804315495, 0.04601605107967898, 0.04591366599081759, 0.045800800538529446, 0.04569357835885571, 0.0455895809063902, 0.04548880818113293, 0.04536223763820979, 0.04522558982276093, 0.04507080291676576, 0.044927705646900434, 0.04478622074063922, 0.04468585110628298, 0.04452380856406928, 0.04442263274791098, 0.04432186002265371, 0.044221490388297466, 0.04406912202770847, 0.043968752393352226, 0.0438506467593507, 0.04364426421802381, 0.043480609312205994, 0.043379836586948724, 0.04323875477158854, 0.04313596659182612, 0.04299004768565359, 0.042829214416142986, 0.04256962387588025, 0.04246925424152401, 0.042368078425365704, 0.04226770879100946, 0.04212622388474825, 0.04199844406912203, 0.041898074434765786, 0.04178641825518072, 0.0416558168032473, 0.041554640987089, 0.041453465170930695, 0.041347855354861074, 0.04123095899356264, 0.04112736463199816, 0.04102699499764192, 0.04092622227238465, 0.04082182172901811, 0.04063639991454473, 0.04053401482568334, 0.0404336451913271, 0.04033327555697085, 0.04021033283215698, 0.04010875392509765, 0.04000193483632494, 0.0399015652019687, 0.03980079247671142, 0.03969115175163151, 0.039561356481500144, 0.0394609868471439, 0.03935940794008457, 0.03923606212436967, 0.03913528939911239, 0.03902887340124071, 0.03892850376688447, 0.038827327950726166, 0.038709625407625674, 0.03860844959146737, 0.03850807995711113, 0.03840730723185386, 0.03830008505218012, 0.038175529963762125, 0.03807072632949456, 0.03797035669513832, 0.03786958396988105, 0.03776881124462377, 0.037668441610267535, 0.03754025870374028, 0.03743988906938404, 0.037310899981054725, 0.03720972416489642, 0.037109354530540185, 0.03685339180838671, 0.036720371811047106, 0.036619599085789836, 0.0364708585433101, 0.036354768363813725, 0.03625359254765542, 0.03615322291329918, 0.036045597642724414, 0.03594240637206096, 0.03583155637427796, 0.03570982292216718, 0.035609453287810934, 0.03549416929011662, 0.03539379965576037, 0.03529181765780001, 0.035188626387136566, 0.03508503202557209, 0.034958058391747926, 0.03485688257558962, 0.03475651294123338, 0.0346557402159761, 0.03453723149107355, 0.03443686185671731, 0.03433608913146004, 0.03423531640620276, 0.03413373749914343, 0.033991446411080165, 0.03389107677672392, 0.033790707142367676, 0.03363430787276839, 0.03353353514751112, 0.03342953769504561, 0.03331828460636158, 0.033197357336052856, 0.033094569156290436, 0.032951874977326136, 0.03284787752486063, 0.03274750789050439, 0.032645122801643, 0.03254475316728676, 0.03244438353293051, 0.032343610807673236, 0.032242838082415966, 0.03214246844805972, 0.03203323081388084, 0.031932861179524596, 0.03183249154516835, 0.031731718819911076, 0.03163134918555483, 0.0315297702784955, 0.03142940064413926, 0.031329031009783015, 0.031221808830109277, 0.031120633013950978, 0.031020263379594733, 0.03091949065433746, 0.030818717929080187, 0.030718348294723943, 0.030555902661609218, 0.03042247957336859, 0.030322109939012347, 0.030221740304656103, 0.03012096757939883, 0.02999157540016849, 0.02987306667526594, 0.02967273049745448, 0.02948650250117904, 0.029386132866822796, 0.029261980869305836, 0.02910920941781581, 0.02900883978345957, 0.028880656876932316, 0.02876779142464417, 0.028667421790287927, 0.028566649065030654, 0.02846587633977338, 0.02835139852388112, 0.028236920707988857, 0.02811357489227396, 0.028011592894313597, 0.027910417078155295, 0.02781004744379905, 0.027709677809442806, 0.02760769581148245, 0.027506116904423117, 0.02739405763393703, 0.02729207563597667, 0.027191706001620426, 0.02709133636726418, 0.026974440005965744, 0.026872458008005386, 0.026772088373649142, 0.026669300193886723, 0.026567721286827394, 0.02646654547066909, 0.026366175836312847, 0.026265806201956603, 0.026153343840569488, 0.026034028933864875, 0.025932046935904517, 0.025830871119746215, 0.025726873667280707, 0.025625697851122408, 0.025524925125865135, 0.025423346218805803, 0.02532297658444956, 0.025220188404687142, 0.025110950770508258, 0.025010581136152014, 0.02491021150179577, 0.024809438776538496, 0.024481725874001846, 0.024379340785140455, 0.024278971150784215, 0.02417860151642797, 0.024069363882249086, 0.023965366429783582, 0.023785184797023576, 0.02368199352636013, 0.023581220801102858, 0.023479238803142496, 0.023378869168786252, 0.023246252262347684, 0.023075744811212377, 0.02297174735874687, 0.02282582845257434, 0.02272505572731707, 0.022623476820257737, 0.022523107185901493, 0.02242233446064422, 0.022321561735386946, 0.02217806137462059, 0.02207648246756126, 0.021976112833205014, 0.021875743198848774, 0.0217749704735915, 0.021666539021214674, 0.0215657662959574, 0.02146378429799704, 0.0213634146636408, 0.02126022339297735, 0.02115824139501699, 0.02105706557885869, 0.020956695944502446, 0.020853504673838997, 0.020753135039482753, 0.02065276540512651, 0.02055158958896821, 0.020450816863710936, 0.020349641047552634, 0.02024886832229536, 0.020147692506137058, 0.02004651668997876, 0.01994251923751325, 0.019841746512255978, 0.01973936142339459, 0.019638991789038347, 0.019538622154682102, 0.01943704324762277, 0.019325790158938743, 0.01922421125187941, 0.01911376434499744, 0.019002108165412382, 0.01890093234925408, 0.018800159623996806, 0.018692131262521013, 0.018584505991946245, 0.01848413635759, 0.018378929632421406, 0.018259614725716796, 0.018154408000548204, 0.018042751820963144, 0.017906507096415312, 0.01780533128025701, 0.01770334928229665, 0.017600158011633203, 0.01749978837727696, 0.017399418742920714, 0.017288165654236687, 0.01714869620248062, 0.01702978438667704, 0.016928608570518738, 0.016819774027240882, 0.01671900130198361, 0.016561392759681236, 0.016459410761720875, 0.016354607127453312, 0.016236098402550758, 0.016135728768194517, 0.016034956042937244, 0.015934586408581, 0.015834216774224755, 0.015722963685540728, 0.015620981687580367, 0.015520612053224123, 0.015419033146164792, 0.015318260420907519, 0.015217890786551275, 0.015117521152195031, 0.015017151517838789, 0.014909526247264021, 0.014792629885965584, 0.01469226025160934, 0.014591084435451039, 0.01447459116505363, 0.014374221530697388, 0.014273045714539086, 0.014160986444052998, 0.013997734629136217, 0.013896155722076885, 0.013794173724116525, 0.013693400998859252, 0.013591015909997863, 0.0134862122757303, 0.013381005550561707, 0.013280635916205463, 0.01318026628184922, 0.013071028647670336, 0.012970659013314092, 0.012823530834438475, 0.012721951927379143, 0.012598203020763213, 0.012497833386406969, 0.012397060661149695, 0.012290241572376986, 0.012189065756218686, 0.01204879012266056, 0.011946405033799172, 0.011846035399442928, 0.011730751401748608, 0.011630381767392365, 0.011529609042135092, 0.011429239407778848, 0.011328869773422604, 0.011222050684649895, 0.011121277959392623, 0.01102090832503638, 0.010920538690680135, 0.010812913420105368, 0.01071012524034295, 0.010605321606075385, 0.010504951971719143, 0.010395714337540258, 0.010294538521381957, 0.010193362705223655, 0.010089768343659178, 0.009972065800558684, 0.009857184893765393, 0.00975641216850812, 0.00965443017054776, 0.009551641990785342, 0.009332360540625516, 0.009231990906269272, 0.009129605817407883, 0.00902923618305164, 0.008928866548695397, 0.008828093823438124, 0.008716034552952036, 0.008614858736793735, 0.008514086011536462, 0.008411297831774044, 0.008303672561199276, 0.00819483801792142, 0.00808882511095077, 0.007988052385693497, 0.007887682751337255, 0.007776832753554254, 0.0076764631191980105, 0.007493056759229774, 0.007385431488655007, 0.007284255672496705, 0.007181064401833258, 0.007080694767477014, 0.00698032513312077, 0.006879955498764526, 0.006779585864408283, 0.006679216230052039, 0.0065784435047947665, 0.006477670779537493, 0.00637730114518125, 0.006276931510825006, 0.006156407331417308, 0.006049991333545628, 0.005949621699189384, 0.005848445883031082, 0.00574727006687278, 0.005646900432516537, 0.005546530798160293, 0.005444548800199933, 0.00534417916584369, 0.0052438095314874455, 0.005143036806230173, 0.005041054808269813, 0.0049406851739135695, 0.0048403155395573254, 0.004728659359972267, 0.004628289725616024, 0.00452792009125978, 0.004427147366002507, 0.004326374640745235, 0.004226005006388991, 0.004125635372032747, 0.004024862646775474, 0.003922880648815115, 0.0038225110144588705, 0.0037201259255974814, 0.0036173377458350634, 0.003515355747874703, 0.003413776840815372, 0.0033134072064591284, 0.0032122313903008267, 0.003111458665043554, 0.00301108903068731, 0.0029107193963310665, 0.002809946671073794, 0.0027095770367175503, 0.0026063857660541027, 0.0025035975862916847, 0.0024028248610344118, 0.00230164904487611, 0.0022012794105198664, 0.0021009097761636227, 0.002000540141807379, 0.001899364325649077, 0.0017989946912928335, 0.0016982219660355608, 0.0015966430589762297, 0.001496273424619986, 0.0013959037902637425, 0.0012951310650064695, 0.0011943583397491968, 0.0010927794326898658, 0.0009920067074325931, 0.0008916370730763495, 0.0007900581660170185, 0.0006832390772443093, 0.0005812570792839494, 0.0004796781722246184, 0.0003780992651652874, 0.0002708770854915492, 0.00016970126933324735, 6.933163497700367e-05], \\\"y\\\": [0.9006287880090139, 0.9016744172642058, 0.9020169598430163, 0.9023714870234929, 0.9026756724255421, 0.9029002761652212, 0.9032002349267378, 0.9034355553450846, 0.9036739917931069, 0.903935802974896, 0.9042028718807532, 0.9043997098076572, 0.9045584131490847, 0.9047947505696067, 0.9050050472518528, 0.905275643763134, 0.9055950208852377, 0.9059500379721082, 0.9063536373732467, 0.9066307963311276, 0.9069201106107394, 0.9072208099596933, 0.9074624117530199, 0.9076275714937151, 0.9078041606567842, 0.9080506227608417, 0.908279241126843, 0.9084522109394496, 0.9086947673277722, 0.9088999832033787, 0.909099448200528, 0.9092449124228005, 0.9094074015559837, 0.9095532161467831, 0.9097081428651335, 0.9099232902284344, 0.9100640235815731, 0.9102181249779409, 0.9103859091246648, 0.9105390808773536, 0.9107518751806962, 0.9108941092274405, 0.9110619954414519, 0.9112288698708356, 0.9114414171584871, 0.9115621721414804, 0.9116948524491877, 0.9118140663466385, 0.9119672899040909, 0.9121513825015174, 0.9123059056163377, 0.9124313633007037, 0.9125636329932104, 0.9126875229991128, 0.9128349156010647, 0.9129580151193356, 0.9131204545677006, 0.9132915575355544, 0.9134508341222944, 0.9135792491253593, 0.9137019920735145, 0.9138200146528763, 0.9139052072534416, 0.914025502101478, 0.9141415132122044, 0.9142818017193102, 0.9143781175893368, 0.9144904166204882, 0.9145852899501615, 0.9147524710748096, 0.914896159775977, 0.9150253162069575, 0.9151552873876216, 0.9152785764723422, 0.9154123232379513, 0.9155057244283665, 0.9156100140176573, 0.9157395385220258, 0.915880020520669, 0.9160287745703484, 0.9161164087764458, 0.9162393884949658, 0.9163902992895522, 0.9164942531803257, 0.9165839497234304, 0.9167418416642019, 0.9168402986785614, 0.916965931853844, 0.9171131172611119, 0.9171981514977449, 0.9173039694900741, 0.9174377634114886, 0.917531605855184, 0.9176458822323769, 0.9177398114876684, 0.9178522989201462, 0.9179807178679525, 0.9180785665705878, 0.9181972660177277, 0.9183276546304543, 0.9184313282534385, 0.9185501312271023, 0.9186704402225199, 0.9187738856656303, 0.918881169088927, 0.9190025353883338, 0.9190753950562243, 0.9191839572762186, 0.9193020611646383, 0.9194080679921232, 0.9195369195431176, 0.919647971671093, 0.9197514711444853, 0.9198348593885993, 0.919960098331475, 0.9200747092915027, 0.9201808506368543, 0.9203002048243183, 0.9204001518411149, 0.9205081469802014, 0.9206150479421645, 0.9206964443345342, 0.9207774919446289, 0.9208593680717344, 0.9209514197309547, 0.9210513114652832, 0.9211779863825855, 0.9212634546078208, 0.92135545575005, 0.921435228254438, 0.9215448971519808, 0.9216481124701055, 0.9217322053913016, 0.9218171307351699, 0.9219042911350603, 0.9220080569571026, 0.9221298803628512, 0.9222187952816848, 0.9222931117345471, 0.9223782609563476, 0.9224818292416633, 0.9225623836994283, 0.9226629983177025, 0.9227586648920275, 0.9228620562042426, 0.9229497377904448, 0.9230389933712393, 0.9231598183635138, 0.9232503122768335, 0.9233462313432058, 0.9234275334258953, 0.923517338590825, 0.9236010511558628, 0.9236874944737048, 0.9237838976598856, 0.9238996182817505, 0.9239850236285606, 0.9240635206347723, 0.9241613414361735, 0.9242337303953749, 0.9243370337557554, 0.9244032123903381, 0.9244585678529494, 0.924524469553639, 0.9246325558063707, 0.9246981617310426, 0.9247748808278715, 0.9248625245786855, 0.9249544614401146, 0.9249413457156952, 0.925034946889099, 0.925101092553058, 0.9251630017697514, 0.925220252649334, 0.9252938313632887, 0.9253251867006472, 0.9254092790303835, 0.9254646438233549, 0.9255173749203144, 0.9255749806645526, 0.9256372640067687, 0.9257229245340384, 0.9258167132816681, 0.925888976104762, 0.9259622768184965, 0.9260096602381191, 0.9260932731051396, 0.926157353469069, 0.9262184388395437, 0.9262853506876414, 0.9263667476444946, 0.9264411397186417, 0.9265140340481683, 0.9266137994925693, 0.9266749768247489, 0.9267097710634301, 0.9267888842580541, 0.9268265803877922, 0.9268980691683267, 0.9269554818628954, 0.9270178944262938, 0.9270578499595072, 0.9271274815443199, 0.9272108044330414, 0.9272812731378725, 0.9273638174257078, 0.9274315768451469, 0.9275056458759926, 0.9275621502192992, 0.9276276683914234, 0.9276763913583719, 0.9277321725723838, 0.9277895384163756, 0.9278496642664505, 0.9279207132064629, 0.927979257337392, 0.928042553155567, 0.9280886629134175, 0.9281634517822225, 0.9282131261634723, 0.928250270638538, 0.9283143946594883, 0.928371572231377, 0.9284464262093337, 0.9284848100597031, 0.9285463653850219, 0.9285906669107751, 0.9286286994059298, 0.9287075343250856, 0.9287613142749811, 0.9288045018934186, 0.9288598885927074, 0.9289043179112242, 0.928950575657094, 0.9290046251996321, 0.9290628082087653, 0.9291066380067979, 0.9291428174445834, 0.929210926255697, 0.9292487090324927, 0.9293306467541076, 0.9293669156116391, 0.9294377824538672, 0.9294799923331224, 0.9295498125120083, 0.9296050083547522, 0.9296468127443556, 0.9297014606788777, 0.9297879474707346, 0.9298417059486775, 0.9298852175448935, 0.9299153167828361, 0.9299753235335341, 0.930039816672536, 0.9300721762139692, 0.9301396035076804, 0.9301907185319522, 0.9302628094248018, 0.9303119859421589, 0.9303584094655071, 0.9304084095987697, 0.9304433567105839, 0.930488240699772, 0.930534208873525, 0.9305822906128988, 0.930614088219182, 0.9306720444183901, 0.9307158133987692, 0.9307825278169225, 0.9308294721633712, 0.9308812202428626, 0.9309444891131271, 0.9310093680827181, 0.9310443008974411, 0.9311057081722364, 0.9311539760400606, 0.9311965828368237, 0.9312560035351545, 0.9312927990880904, 0.9313439573525942, 0.9313720051345428, 0.9314334834877132, 0.9314925980979344, 0.9315501427355178, 0.9316013422738543, 0.9316402237528792, 0.9317048414753655, 0.9317499760736112, 0.9318036331625437, 0.9318695972731256, 0.9319081267553253, 0.931951080299367, 0.9320004241955678, 0.9320442038571239, 0.9320768049851635, 0.932134306724235, 0.9321745396289647, 0.9322478993844414, 0.9322915819491018, 0.9323246468191569, 0.9323561537437214, 0.9324019575934688, 0.9324510584129503, 0.932493697375495, 0.9325296156319637, 0.932567571910654, 0.9326026265329371, 0.9326457452540605, 0.9326853368648454, 0.9327565373027832, 0.9328020167329133, 0.9328212468425312, 0.932860289874968, 0.9328729794981788, 0.9329183041680006, 0.9329435678392822, 0.9329975282525286, 0.9330508238072237, 0.9330973259800038, 0.9331197402524893, 0.9331690164440026, 0.9331962872983243, 0.9332167494140369, 0.9332749737532301, 0.9332778608480156, 0.9333080288883339, 0.9333277730510602, 0.933374470024682, 0.9334195194307933, 0.9334690002757213, 0.9335164896623941, 0.9335455170137779, 0.9335701049765078, 0.9336308934551121, 0.9336428707949425, 0.9336737439644205, 0.9337188983708434, 0.9337781429971764, 0.9338152849862569, 0.933855226209586, 0.9338625866050808, 0.9339077500141133, 0.9339227668031208, 0.9339917077414243, 0.9339885127301216, 0.9340301600806937, 0.9340911590592954, 0.9341175780358566, 0.9341574279618328, 0.9341777865618789, 0.9342189255411117, 0.9342238452589844, 0.9342623504986222, 0.9342794138538072, 0.9343129557701593, 0.9343457859155611, 0.9343719693549816, 0.93438342096065, 0.9344433871680058, 0.9344989320219663, 0.9345198566695029, 0.9345746341522476, 0.9345775881045599, 0.9346178101780602, 0.9346095512155534, 0.9346420781967341, 0.9346556623552071, 0.9347056282789358, 0.934723505745012, 0.9347774606350772, 0.9347890469464826, 0.9348342078835539, 0.9348195969172766, 0.9348684549702997, 0.934880042982612, 0.9349236588291581, 0.9349389224837381, 0.9349675858795378, 0.9350161002983335, 0.9350020038619885, 0.9350391941662075, 0.9350572438604072, 0.935089973456431, 0.9351101490020167, 0.9351599612467706, 0.9351777324535926, 0.9352129542828584, 0.9352213815906609, 0.9352610882026683, 0.9352771305403954, 0.9353172639500688, 0.9353378172570084, 0.9353624511082138, 0.9354115620488974, 0.9354174708998021, 0.9354702660774319, 0.9354704608507345, 0.9355013095187356, 0.9355189830464233, 0.935541220359691, 0.9355620536687671, 0.9355875633153408, 0.9355868882232306, 0.9355896812529061, 0.935611945601739, 0.9356062767350768, 0.9356563249150409, 0.9356664099016043, 0.935715147899651, 0.9357595562873672, 0.9357708746074194, 0.9357953150878306, 0.9358002455282673, 0.9358455194409235, 0.935856563277058, 0.9358945103735218, 0.9358899954007661, 0.9359454663371859, 0.9359463258339663, 0.9359940623669762, 0.9360013694030128, 0.9360475527041014, 0.9360790031651237, 0.9361059247066617, 0.9361427175454022, 0.9361512968967317, 0.9361885922250517, 0.9361848925484113, 0.9362156077842138, 0.9362307444025265, 0.9362219021320021, 0.9362657429297905, 0.936278406940484, 0.9363142060062359, 0.9363184724136437, 0.9363643765529052, 0.9363627925873778, 0.9364017755062631, 0.9364109220810446, 0.9364515373109159, 0.9364716808382945, 0.9364949922701825, 0.9365250009532229, 0.9365328320929446, 0.93659260961026, 0.9366341487585765, 0.9366515122605944, 0.9366926124491499, 0.9366959705127581, 0.9367400223797091, 0.9367532538208476, 0.9367997675329167, 0.9368154783332484, 0.9368353066491508, 0.9368485026264088, 0.936901642526675, 0.9368882820764233, 0.936925806386417, 0.936935345524597, 0.936973711505128, 0.9369709245005774, 0.9370433319206481, 0.9370368709227492, 0.9370695368534284, 0.9370864670169854, 0.9371207988738343, 0.9371481317876798, 0.9371524598264791, 0.9372036167829644, 0.9372317162063659, 0.937260593958108, 0.9372854915570358, 0.9373189814653754, 0.9373105615174634, 0.9373642420571554, 0.9373817360606604, 0.9374111855628539, 0.9374105142086581, 0.9374495064691221, 0.9374649556192672, 0.9374867737930646, 0.937502287351289, 0.9375454512980383, 0.937538592362329, 0.9375622804606868, 0.9375938622265753, 0.9376378931167286, 0.9376707652534111, 0.9376970251247587, 0.9377314635982174, 0.9377486315057013, 0.9377562798781602, 0.9377778739570135, 0.9378294368879204, 0.9378331989529374, 0.9378736005995284, 0.9378825141139947, 0.9378991139052523, 0.9378976161596159, 0.9379488319923178, 0.937951327194915, 0.9379975108425188, 0.9379972423165072, 0.9380393819025177, 0.9380301147667495, 0.9380896004602839, 0.938104784361357, 0.9381345082157359, 0.9381280017782083, 0.9381610622698294, 0.9381610972204074, 0.9382053133569306, 0.9382009502637972, 0.9382498457764006, 0.9382498578242748, 0.9382806740191243, 0.9382900574361502, 0.9383114824250406, 0.9382912985713874, 0.938332743989469, 0.9383779778082976, 0.9384100969556993, 0.9383984621258535, 0.9384304019594, 0.9384648520941304, 0.9385068161911412, 0.9385150229730191, 0.9384851006033713, 0.9385492119727685, 0.9385720351133805, 0.938600290268534, 0.9386051786051786, 0.9385745450209364, 0.9385994813091515, 0.9386269313020587, 0.9386568963306934, 0.9386600060995834, 0.9386842800151933, 0.9387004457080559, 0.9387329498862621, 0.9387486813782092, 0.9387347252324189, 0.9387639049881701, 0.9387980874875922, 0.9388444452369754, 0.9388455817835513, 0.9388270281794041, 0.9388692317849127, 0.9389072602448814, 0.938933988611756, 0.938937204793985, 0.9389093422318026, 0.9389385514025995, 0.9389711786757751, 0.93899078655329, 0.9390006973416586, 0.9389839612098376, 0.939022046631777, 0.9390618504628616, 0.9390793888939059, 0.9390616761896073, 0.9390868097827497, 0.9391350286941511, 0.9391677441580579, 0.9391663750757316, 0.9391479141415136, 0.9391840138738861, 0.9392201249526525, 0.9392436295571532, 0.9392236679052689, 0.9392627051887193, 0.93931233342431, 0.9393493471508164, 0.9393522079906182, 0.9393250898431597, 0.9393456726551132, 0.939390309609593, 0.9394075631515211, 0.9394399980254758, 0.9394236341510165, 0.9394585896897145, 0.9394905488221051, 0.9395369182735663, 0.9395122516728885, 0.9395463844137728, 0.9395982113961466, 0.9396404221209808, 0.9396216010528674, 0.9396549940213719, 0.939704859408225, 0.9397244998566744, 0.9397077146900692, 0.9397233779903531, 0.9397639023784019, 0.939804548525107, 0.9398117662319646, 0.9397794347610168, 0.9398024785729996, 0.9398261970253888, 0.9398375259289916, 0.9398638259497238, 0.9398148085459785, 0.9398334170717031, 0.9398610232592578, 0.9398877617094755, 0.9398954066540517, 0.9398735749853399, 0.9399096756411154, 0.9399411423375675, 0.9399619974309396, 0.9399662870608402, 0.9399592033440237, 0.9398089669941194, 0.9398447196240924, 0.9398660233806247, 0.9398870606756409, 0.939905420284755, 0.9398722230288951, 0.9399007217595249, 0.9399404033778984, 0.939959216210376, 0.9399630702622992, 0.9399423922215874, 0.9399834198303372, 0.9400206172171481, 0.940056545027909, 0.9400589698633822, 0.9400416399598147, 0.940065624333652, 0.940099447739917, 0.9401307163384508, 0.9401292224140166, 0.9400563423384529, 0.9400769192930422, 0.9401108515029913, 0.9401379140668248, 0.9401610281596502, 0.9401593714466707, 0.9401195010543674, 0.9401598686386079, 0.9402148326301806, 0.9402586345352207, 0.9402628113218051, 0.9402318090953838, 0.9402726198283248, 0.9403263562970322, 0.9403459017644106, 0.9403036862472599, 0.9403385930925253, 0.9403644531716224, 0.9403929288180121, 0.9403766795954009, 0.940404742543271, 0.9404272185211019, 0.9404634768776535, 0.9404802890487798, 0.9404537091448559, 0.9404719040800078, 0.9405193509235965, 0.940527026525453, 0.9405327125075618, 0.9405073912405546, 0.9405407091017317, 0.9405770572346807, 0.9405883640056752, 0.9405663433836507, 0.9406048794996025, 0.9406291787606378, 0.9406465753525285, 0.9406416491073565, 0.9405932040213577, 0.940621827242021, 0.9406530536068817, 0.9406830194977005, 0.9406887444259191, 0.9406689382872324, 0.9407093113445467, 0.940737577896957, 0.9407549755484964, 0.9407658561550527, 0.9407310733818038, 0.940765871679808, 0.9408130040851976, 0.940844359197522, 0.940848164914402, 0.9408125457041974, 0.9408334340163484, 0.9408752121614641, 0.9409061805755449, 0.9409059536947159, 0.9408975444538527, 0.9409181091395098, 0.9409564868195729, 0.9409850202758101, 0.9409938490434667, 0.9409755331337547, 0.940992655212692, 0.9410261706938693, 0.941064535973928, 0.9410716184295072, 0.9410591941794347, 0.9410963604480814, 0.941122139808902, 0.9411505935315195, 0.941150454146116, 0.9411273302849104, 0.941183277962604, 0.9412230951928998, 0.9412493598357475, 0.9412447646233956, 0.9412008707617683, 0.9412572922533498, 0.9412928136016928, 0.9413091682022585, 0.9413114764741809, 0.941295851743613, 0.9413331242434604, 0.9413560210760282, 0.9413832119566126, 0.9413899827519304, 0.9413582755329747, 0.9413724808959621, 0.941416374110893, 0.94144232046961, 0.9414520417827272, 0.9414389247619703, 0.9414785382256258, 0.9414984654168993, 0.9415231872769336, 0.9415259672460213, 0.9414915993760494, 0.9415091942248288, 0.9415422972418779, 0.9415613558741261, 0.9415644463152248, 0.9415339590619382, 0.9415674549091473, 0.9415913350725076, 0.9416144841681368, 0.9416164587261595, 0.9415904565147438, 0.9416218818127627, 0.9416442863947073, 0.9416779266248866, 0.9416746110295288, 0.9416370864489451, 0.941663253645317, 0.941685497483879, 0.941703103686679, 0.9417134805213251, 0.9416802661589315, 0.9417368780332713, 0.9417825002852585, 0.9418131611662437, 0.9418129377138869, 0.9418030094453423, 0.9418389538331077, 0.9418647702023949, 0.9418813621606945, 0.9418782890424555, 0.9418409028407965, 0.9418601545591578, 0.9418790849902924, 0.9419132762824497, 0.9419108843964723, 0.9419067586434519, 0.941876020815489, 0.9418987001496092, 0.941923290414516, 0.9419518664379062, 0.9419170455495312, 0.9419542464873273, 0.9419858437209931, 0.9420025125604532, 0.9419974833405225, 0.9419727533961889, 0.941997819452757, 0.9420158330997929, 0.9420520161893359, 0.9420571658103883, 0.9420284262593017, 0.9420469044820895, 0.94207999487846, 0.9421135666737758, 0.94211432109636, 0.9420770377518154, 0.9421092265584944, 0.9421391236314105, 0.9421643083847423, 0.942168105545435, 0.9421465580911434, 0.9421868713003272, 0.9422089725740775, 0.942235054472841, 0.9422299908733032, 0.9422235101611618, 0.9421885035324342, 0.94221235594181, 0.942232045890113, 0.9422688497945936, 0.9422762779308523, 0.9422376287155937, 0.942263801516566, 0.942302016305263, 0.9423268699109301, 0.9423272089664025, 0.9422953203708937, 0.9423250740147504, 0.942347570085536, 0.9423764760264695, 0.9423839365647781, 0.9423448285015201, 0.9423840375168417, 0.9424228127615286, 0.9424405673664692, 0.9424410955343685, 0.9424174443476495, 0.9424373099699939, 0.9424506084184727, 0.9424782541825453, 0.9425000640934948, 0.9425048222650868, 0.942552604080787, 0.9425814512637404, 0.9425947896584111, 0.9425918636667884, 0.942553548773184, 0.9425830673335811, 0.9426066821825754, 0.9426142088132734, 0.9426096235914786, 0.9425707535936443, 0.9425931271811611, 0.9426020347394068, 0.9426185256254173, 0.942596571382807, 0.9426139427507794, 0.9426420798641908, 0.9426810161658412, 0.9426948926975163, 0.942646003600648, 0.9426679635144575, 0.9426931087030543, 0.9427160102289086, 0.9427150234712629, 0.9426724127628349, 0.9427028598367311, 0.9427201337410088, 0.9427358283920941, 0.9427366739371675, 0.9427188920909229, 0.9427485811088885, 0.9427981342899604, 0.9428206518903326, 0.9428142594507641, 0.9427575574449201, 0.9427926954182678, 0.9428034657419063, 0.9428377726571407, 0.9428471687084101, 0.9428387537384585, 0.9427802464963186, 0.9427942012507107, 0.9428144711851302, 0.9428275566604485, 0.9428347580810963, 0.9428278922826663, 0.9428008942349353, 0.9428430164497068, 0.9428747212403769, 0.9428914252943905, 0.9428987306444938, 0.9428366773219574, 0.9428584092412453, 0.9428810838914354, 0.9428936034455256, 0.942858300215992, 0.9428769035324894, 0.9428818676508256, 0.9428990874197464, 0.9429122450978548, 0.9429058547159505, 0.9428570186619193, 0.94289523579494, 0.9429225321661358, 0.9429456550732369, 0.9429451692332972, 0.9429188795067478, 0.9429393647635816, 0.9429534713207598, 0.9429767045435307, 0.9429853185417331, 0.9429807032602501, 0.9429399258314906, 0.9429704895867534, 0.9429941292627747, 0.9430456428359316, 0.9430473304692834, 0.9430440317155889, 0.9429804838128336, 0.9429987584377955, 0.9430271056640012, 0.9430385275792551, 0.943033766001792, 0.9430137678045559, 0.9430347843147158, 0.9430594991660539, 0.9430663274079644, 0.9430676474017645, 0.9430597079833025, 0.9430032383362986, 0.9430663567469325, 0.9431085571931122, 0.9431310364360215, 0.9431175590891566, 0.9431482614853756, 0.9431601593734144, 0.9431814418328285, 0.9431823606374035, 0.9431775720967529, 0.9431377653496199, 0.9431791475165562, 0.9431980052638329, 0.9432278820270725, 0.9432288081810691, 0.9432233922921743, 0.9431757091622864, 0.943200120330244, 0.9432410967575552, 0.9432631389198688, 0.9432566315819303, 0.9432264801004266, 0.9432615340687966, 0.9432855293063722, 0.9432915398982462, 0.9433062909096956, 0.9432993851363349, 0.9432427125227524, 0.943262585023352, 0.9432888490047359, 0.9432985397676444, 0.9433067077467031, 0.9432982895641507, 0.9432808340151267, 0.9433177339841098, 0.9433278445917916, 0.943336135302755, 0.9433453815241346, 0.9432710602597336, 0.9432960648247073, 0.9433067384597245, 0.9433283722237482, 0.9433335921536173, 0.9433261558620412, 0.9432800463168602, 0.9433027983312342, 0.9433320556430038, 0.9433741545075868, 0.9433446329241582, 0.9433855119116982, 0.9434109577232368, 0.9434174944588055, 0.9434119191306027, 0.9433590224395806, 0.9433775750750639, 0.9433994750759759, 0.9434111407327583, 0.9434042246598381, 0.943384192201004, 0.943407507910951, 0.9434368873547553, 0.9434405644139662, 0.9434089254767316, 0.9434560495992108, 0.9434714757229625, 0.9434915430377826, 0.9434883178170843, 0.9434431259216738, 0.9434711208470967, 0.9434860755871944, 0.9434944392515962, 0.9434944241599599, 0.9434551710332553, 0.9434822965278924, 0.9435122366114975, 0.9435458164763131, 0.9435407182499586, 0.943504108598165, 0.9435270907411064, 0.943543300326397, 0.9435540910180603, 0.9435548804400165, 0.9435275198237492, 0.9435608134085849, 0.9435861487183028, 0.9435978669825514, 0.9435950239702389, 0.9435406408198451, 0.9435702054027807, 0.943588061985957, 0.9436099337052923, 0.9436126957170098, 0.9436062658708962, 0.9435402158153982, 0.9435821231812825, 0.9435920548370001, 0.9436264561482591, 0.9436297807190341, 0.9435945957005538, 0.9436247914959287, 0.943643691713582, 0.9436649533561831, 0.9436645458440232, 0.9436712565197155, 0.9436358437502187, 0.9436731755241626, 0.9436989690804133, 0.9437007844480731, 0.9436936035693564, 0.9436553591977108, 0.943690379941378, 0.9437102356906065, 0.94372820720575, 0.9437225512964277, 0.9436894702396285, 0.9437159116311193, 0.9437471771074631, 0.9437595541073951, 0.9437600192148295, 0.943753795726119, 0.943700715662913, 0.9437164192742196, 0.9437457004986166, 0.9437493691088578, 0.9437199463367819, 0.9437442050380049, 0.9437603446395353, 0.9437903108237861, 0.9437989777335772, 0.9437718717487941, 0.943801839190579, 0.9438256700025465, 0.9438394189607834, 0.9438336469543522, 0.943798536494205, 0.943824011728521, 0.9438549249637076, 0.9438709892010555, 0.9438685890408542, 0.9438615151568616, 0.943853958279556, 0.943791245536334, 0.9438241157350126, 0.9438436822186049, 0.9438575353588808, 0.9438609622103505, 0.943853589695152, 0.9438090298629688, 0.9438243829438709, 0.9438426041570803, 0.9438607173706792, 0.9438647302921355, 0.9438395052982076, 0.9438656106957545, 0.9439158426316744, 0.9439356435016959, 0.9439338323721697, 0.9439276616648351, 0.9438861149797176, 0.9439157306531726, 0.9439550695548883, 0.9439637316339677, 0.9439459301809513, 0.9439580040137254, 0.9439777445278399, 0.9439920796982897, 0.9439973730608815, 0.9439917324077637, 0.9439838279968159, 0.9439227638247906, 0.9439410951739295, 0.9439685499548564, 0.9439801176143985, 0.9439453179652463, 0.9439761614111826, 0.9440079475348697, 0.944021003830817, 0.9440169869797712, 0.9439812253638936, 0.9440134994887253, 0.9440294571613035, 0.9440468345547033, 0.9440419356713163, 0.9440347469680518, 0.9440270141979535, 0.9439644457874312, 0.9440030753459764, 0.944035480703589, 0.944037042068097, 0.9440129684616658, 0.9440365162970276, 0.9440868084445253, 0.9440999598749735, 0.9441022398059001, 0.9440973369068935, 0.9439932711605507, 0.9440093406568072, 0.9440568291405633, 0.9440801712977815, 0.9440730595666945, 0.9440233939129654, 0.9440719476658418, 0.9440929017107045, 0.9441090164182652, 0.9441030679734456, 0.9440968341305809, 0.9440241536406792, 0.9440553328061387, 0.9440840949868943, 0.9441093525860708, 0.9441123925075091, 0.944059616742159, 0.9441132165838811, 0.9441366852558367, 0.9441596463111129, 0.9441405217255069, 0.9441890601836292, 0.9442154831884467, 0.9442331222861775, 0.944229168579052, 0.9442214883381721, 0.9441721636190372, 0.9442225110196528, 0.9442840934384161, 0.9443476518130582, 0.9443562366848491, 0.9443695196721896, 0.9443877466612072, 0.9444123277202032, 0.9444105420917246, 0.9444047615968884, 0.9443734869052289, 0.9444249762801842, 0.9444630820364676, 0.9444749939418793, 0.9444805810209089, 0.9444320908368541, 0.9444743116445617, 0.9444940485449579, 0.9445059834591426, 0.944498702053116, 0.9444765277399437, 0.9445089968930062, 0.9445361419768465, 0.9445464517297892, 0.9445471003864352, 0.944539873860083, 0.9444958347840999, 0.9445195789097267, 0.9445560973581061, 0.94457922408522, 0.9445477109432835, 0.9445601562186999, 0.9445800073583862, 0.9445998359454373, 0.9446270756842945, 0.9446208808887399, 0.9446160158668419, 0.9445718245800845, 0.944606964432027, 0.944622669854902, 0.9446573378487024, 0.9446629632683134, 0.9446535773203355, 0.9446104187776164, 0.944674766720335, 0.9447024978290425, 0.9447095612404122, 0.9446762383397852, 0.9447134997175791, 0.9447399021720196, 0.9447440424808392, 0.9447431828943823, 0.9446708363764391, 0.9447012383925264, 0.9447232335789415, 0.9447635012942246, 0.9447584486230505, 0.9447080393471802, 0.9447215794614174, 0.9447455956310886, 0.9447552069415738, 0.9447682935665747, 0.9447594760683913, 0.9446912193695882, 0.9447401165181704, 0.9447547434190698, 0.9447624167909039, 0.9447547153133975, 0.944699113841785, 0.9447525715251948, 0.9447731682683721, 0.9447913115370004, 0.9447865272992306, 0.9447788444611235, 0.9447183548211099, 0.9447298024002436, 0.9447484680062704, 0.9447651445684485, 0.9447644873303671, 0.9447144271897403, 0.9447416045801655, 0.9447767821742923, 0.9447819999830811, 0.9447547509157994, 0.9447843737285719, 0.9448110946130295, 0.9448211184916996, 0.9448140831830077, 0.944734486043283, 0.9447657573355742, 0.9448165492022299, 0.9448182520653114, 0.9448134404358784, 0.9447275347026861, 0.944758876377149, 0.9447862118594208, 0.9447993217257721, 0.944794203021829, 0.9447703765482071, 0.9447908243605566, 0.9448145302546923, 0.9448262649967671, 0.9448193385388586, 0.9447643057193043, 0.9447875970578393, 0.9448124949704301, 0.9448263216694952, 0.9448199500917188, 0.9447883684807934, 0.9448172364711882, 0.9448522231886068, 0.9448689807765893, 0.9448726310811546, 0.9448620363084262, 0.944786519064349, 0.9448039206250929, 0.9448364854068426, 0.9448436206332192, 0.9448377312870768, 0.9447722354118143, 0.9448088678626754, 0.9448369377415209, 0.9448235013494354, 0.9448737634219516, 0.9449120028055289, 0.9449147520217267, 0.9448646321589071, 0.9448816107572799, 0.9449163532093465, 0.9449464814148456, 0.9449274973002885, 0.9449470394538874, 0.9449853789147882, 0.9449946301351013, 0.9449973684366149, 0.9449891468750151, 0.9449455730076126, 0.9449809152499317, 0.9449973892869254, 0.9450062962697765, 0.9449768910052682, 0.9450244361580789, 0.9450460863637711, 0.9450539915364036, 0.9450513258919234, 0.9450091461720667, 0.9450435377504318, 0.9450693014810038, 0.9450848723662743, 0.945087552340046, 0.9450795479514695, 0.9450075519473429, 0.9450409646162822, 0.9450727669165776, 0.9450913197554421, 0.9450907310687305, 0.9450468837974794, 0.945064548722075, 0.9450861949448474, 0.9450976993595038, 0.9450964437746283, 0.9450358206203122, 0.9450530019044127, 0.9450788749296098, 0.9451001712974493, 0.9450999332512088, 0.945019673485359, 0.9450491271478859, 0.9450714577733705, 0.9450814925576021, 0.9450909866100513, 0.945057438614878, 0.9450813680920392, 0.9451109049855531, 0.9451237173121483, 0.9451167617833105, 0.9451092597695541, 0.9450497089859977, 0.945090142333444, 0.9451423267157987, 0.9451518888811917, 0.9451588758126005, 0.9451096180351538, 0.9451671943690866, 0.9452423512032883, 0.9454476992844113, 0.9456718376272808, 0.94567829543199, 0.9456046278833917, 0.9456344987778141, 0.9456643801773317, 0.9456802055236959, 0.9456748369943729, 0.9456668281572319, 0.9456073281424194, 0.9456579835483535, 0.945685331565307, 0.9457001999779328, 0.9456962026706371, 0.945647717767986, 0.9456755638149292, 0.9456858032482639, 0.9456998174580483, 0.9457271365966782, 0.9457316375604454, 0.9457242171053319, 0.945657795238035, 0.9457032668051546, 0.9457384842213833, 0.9457527778818664, 0.9457119457764713, 0.9457498136959794, 0.9457725937871189, 0.9457817829880826, 0.9457743591271845, 0.9457337197845652, 0.9457842439722831, 0.9458091826874468, 0.9458325320884751, 0.9457970094520425, 0.9458261599100531, 0.9458725862596365, 0.9458834450964652, 0.9458393619795776, 0.9458868656838757, 0.945927546291039, 0.9459478026924711, 0.9459454667157239, 0.9458624918837025, 0.9459363894831382, 0.945968303388515, 0.9460028108901726, 0.9460046819157533, 0.9459972893105517, 0.9459511447716544, 0.9459699306566847, 0.9459782010863309, 0.945999658482673, 0.9459937572561744, 0.9459334828126619, 0.945956393914176, 0.9459868117566571, 0.9460126924725023, 0.9460064513827895, 0.9460006465853604, 0.9459462324674122, 0.9459618580553568, 0.9459986693488069, 0.9460334119551715, 0.9460254269937075, 0.9459630933109141, 0.9460031398789224, 0.9460293867654427, 0.9460514703168152, 0.9460452882833446, 0.945972120931035, 0.9460350115244681, 0.946058758594411, 0.9460679862489646, 0.9460620195969954, 0.9460532807104095, 0.9459989393731078, 0.9460377847764138, 0.9460482683473556, 0.9460710028539713, 0.9460685325366698, 0.9459729636984491, 0.9460227576439767, 0.9460708531268449, 0.9460808070232911, 0.9460608903306236, 0.9461113726833027, 0.946130400324004, 0.9461456727692293, 0.9461396727371079, 0.9460682284558125, 0.9460889458468557, 0.9461091363080678, 0.9461384133206281, 0.9461408995261343, 0.9460886706634476, 0.9461126347848304, 0.9461574688384973, 0.9461570431355475, 0.9461280737565797, 0.946158464438274, 0.9461947567789977, 0.9462160956601087, 0.9462103879942637, 0.9461113540622662, 0.9461311149725172, 0.9461543655425161, 0.946174677633722, 0.9461702105921578, 0.9461018970072649, 0.9461243843988595, 0.946139348992163, 0.9461688139625598, 0.9461689562845632, 0.9461212478263221, 0.9461431737611364, 0.9461608586202244, 0.9461866322835785, 0.9461795083419199, 0.9461137946176525, 0.9461503930859313, 0.9461631319285659, 0.9461755371776335, 0.9461195065734042, 0.946148598695765, 0.9461766200014514, 0.9461818772046536, 0.9461752066644793, 0.9461073559649581, 0.946152696659256, 0.9461769546429606, 0.9461763236992101, 0.9461415597209909, 0.9461853025034651, 0.9462014884342774, 0.946203542355106, 0.9461610989292246, 0.9461740407121235, 0.9461962206181709, 0.94620639446424, 0.9462006599159084, 0.9461429194736392, 0.9461890653218484, 0.9462140076254665, 0.946190949372806, 0.9462268005639801, 0.946252830479734, 0.9462663711464839, 0.9462604755338168, 0.9462053733531757, 0.9462401977541666, 0.9462548172611895, 0.9462171878336035, 0.9462689857856231, 0.9462894813557658, 0.9462991809572857, 0.9462961604890293, 0.9462880343287159, 0.9462353407738938, 0.9462707917863806, 0.9463063571579764, 0.9463309189390547, 0.9463236731912255, 0.9462673774493481, 0.9462935792676535, 0.9462978615428198, 0.9463218844356063, 0.9462952163090019, 0.9463217494411958, 0.9463633906813445, 0.9463805524297862, 0.9463317721876882, 0.9463600931868172, 0.9463951139561924, 0.9464010730008882, 0.9463620821055214, 0.9463911519614113, 0.9464290387432533, 0.9464425621067706, 0.9464414111492988, 0.946440956060324, 0.946385352331235, 0.9464354691834115, 0.9464723384764921, 0.9464921519064069, 0.9465000737403373, 0.9464309584475246, 0.9464513511225541, 0.9464810839723541, 0.9464890189857893, 0.9464591251419996, 0.9464795449604084, 0.9464927792083289, 0.9465128584416685, 0.9465045073703809, 0.9464964040263676, 0.9464611775942469, 0.9464827364987866, 0.9464997760676305, 0.9465106746770662, 0.9464726083593146, 0.9464884629046306, 0.946523377591843, 0.94653493212935, 0.9465276486791278, 0.9464613375593848, 0.9465001362500235, 0.9465236997907072, 0.9465291286234896, 0.9465251670813096, 0.946517342034077, 0.946507775845915, 0.9464320821242105, 0.946467133413872, 0.9464887590828259, 0.9464821115281394, 0.946458515247822, 0.9464846816224256, 0.9465086260248378, 0.9465162397838154, 0.946461660116371, 0.9465096554129868, 0.9465342010621491, 0.946577758515526, 0.9465711697389386, 0.9465398826586114, 0.9465867128138934, 0.9466067970462428, 0.9466210076168707, 0.9465565618895401, 0.9466201357795602, 0.9466615973094505, 0.9466584928123389, 0.9466065322911992, 0.9466300513353902, 0.9466709212572553, 0.9466694903641324, 0.9466425541966738, 0.9466610470828127, 0.9466970024782426, 0.9467340962712798, 0.9467325867041724, 0.9466941365214533, 0.94671154090821, 0.9467317661413756, 0.9467610076732853, 0.9467042385005718, 0.9467329794981638, 0.9467797758979182, 0.9467834404010751, 0.9467777068120722, 0.9467324823331089, 0.9467673260860618, 0.9467892567998034, 0.9468049498919202, 0.9467991724554408, 0.9467414264413518, 0.9467673792909368, 0.9467781289608944, 0.946786396080105, 0.946785832988611, 0.9467441885509638, 0.9467962749972174, 0.946810981113194, 0.9468189227419742, 0.9468137589477944, 0.9467488147454123, 0.9467641375440145, 0.9468069348937704, 0.9468134364792519, 0.9467683462083922, 0.9467921301284061, 0.9468080569645533, 0.9468079674209688, 0.9467991785401423, 0.9467107128047757, 0.9467574338779446, 0.946779662649674, 0.9468112717276431, 0.9468065179617366, 0.9467643548600981, 0.9468155337347415, 0.946844659169643, 0.9468434651079197, 0.9467624569556785, 0.9467870509377709, 0.9468093334429035, 0.94682541984862, 0.9468253646836668, 0.9468157204099683, 0.946768219590549, 0.9467845788575098, 0.9468092254404821, 0.9468201233263608, 0.9468163696344056, 0.946785693512738, 0.946813236091711, 0.9468373457463574, 0.9468677783947759, 0.946859551886864, 0.9468111447592807, 0.946859363817749, 0.9468777737707984, 0.9468956153390267, 0.9468625834202753, 0.9469000033426421, 0.9469195620710386, 0.9469167078558579, 0.9469116359390962, 0.9468679235178525, 0.9469123185260888, 0.9469273300872165, 0.9469360043840955, 0.9469621395658163, 0.9469092097313913, 0.9469825622838731, 0.947021293335472, 0.9470848828243195, 0.9470918356140312, 0.947032039895326, 0.9470552260809479, 0.9470691289238634, 0.9470801748674224, 0.9470771040119906, 0.9470710724076289, 0.9470740421639265, 0.9469908354421697, 0.9470366665461948, 0.9470842253213915, 0.947095527224683, 0.9470947401195667, 0.9470542087420237, 0.9470982830316707, 0.9471076347789483, 0.9471274526049626, 0.9471201418199408, 0.9470716029722035, 0.9470931529459914, 0.9471170718785207, 0.9471380885345267, 0.9471386007001786, 0.9471340552593823, 0.9470604137941228, 0.9471117955035417, 0.9471217377322468, 0.9471222157182908, 0.9470777701103918, 0.94711170159616, 0.9471450622044164, 0.9471427857445639, 0.947134663590955, 0.9470798309075038, 0.9470921374084477, 0.9471091632461615, 0.9471165346125248, 0.9471076096793816, 0.9470604504564148, 0.9470675310723136, 0.947087510545546, 0.947128275578564, 0.947147035949056, 0.9471405143754614, 0.9471322307445974, 0.9471225031688584, 0.9470599582319991, 0.9470840945819775, 0.9471077149319161, 0.9471336002388123, 0.9471301325222681, 0.9471219269927986, 0.9470543808993968, 0.9470768021765135, 0.9471074770742894, 0.9471122120934884, 0.947064210074832, 0.9470859115344432, 0.9471056871179054, 0.9471268806622298, 0.9471199850485921, 0.9471115832629778, 0.9470570881304914, 0.947102004862276, 0.9471249091345869, 0.9471272660099752, 0.9471201319250344, 0.9470795031769789, 0.9470913883403129, 0.9471233008537833, 0.9471310545601817, 0.9471224950836191, 0.9470861673252642, 0.9471179534923299, 0.9471568984528812, 0.9471556114146082, 0.9471463816355775, 0.9470829763350066, 0.9471329018538904, 0.94716618635927, 0.9471399332653186, 0.9471785973158785, 0.9472030078963556, 0.9472075717843553, 0.9471347554202105, 0.947176505061201, 0.9472110570304231, 0.9472078855413919, 0.9471771835845574, 0.9472076610301371, 0.9472596223169372, 0.9472515153900654, 0.9472099249727723, 0.9472314609121466, 0.947244643570961, 0.9472584283408934, 0.9472487465632591, 0.9471817131712887, 0.9472240629013216, 0.9472904050870932, 0.9472594139878691, 0.947284586467354, 0.9472910958817473, 0.9472965758398466, 0.9472881733382597, 0.9472789675237732, 0.9472277766412067, 0.9472776606817838, 0.9472877824751361, 0.9473431032483076, 0.9473344248806873, 0.9472716553098022, 0.9473294653852502, 0.9473614370320707, 0.9473849319244056, 0.9473771458041701, 0.9473680198450637, 0.9473126614822761, 0.9473711996265061, 0.9474086684785374, 0.9474087756817445, 0.9473288742874078, 0.9473559742526367, 0.9474181528832986, 0.9473947611159519, 0.9474238336093656, 0.9474481445318113, 0.9474650351325302, 0.9474590660851712, 0.9474066206295014, 0.9474390126122577, 0.9474542778201768, 0.9474780022624781, 0.947472058414153, 0.9474440085516657, 0.947479921279761, 0.9474982481267447, 0.9474934478121683, 0.9474408863077862, 0.9474635531486783, 0.9474896053797333, 0.9475016843658763, 0.9474923179212564, 0.9474339889093272, 0.9474595713096872, 0.9474791752365281, 0.9474805136364367, 0.947428164007552, 0.9474446381714233, 0.9474502079229591, 0.9474592367247735, 0.9474503056233144, 0.9474409988934676, 0.9473597294802416, 0.9474020062340752, 0.9474284040080978, 0.9473989141204389, 0.9474356083780011, 0.9474626244585982, 0.9474802624435793, 0.9474713692039485, 0.9474181083123686, 0.9474482297107776, 0.9474593847217422, 0.9474594003868972, 0.9474531108859153, 0.9474098287562926, 0.9474768440342233, 0.9474865550876715, 0.947478657834755, 0.9474142783592502, 0.9474346911038078, 0.9474771631367822, 0.9474846021571597, 0.9474089957492099, 0.9474341413898224, 0.9474354885945787, 0.9474491363463572, 0.9474344257011272, 0.9474448922919219, 0.9474615343027191, 0.9474653567263653, 0.9474578965956287, 0.9474218206453876, 0.9474608604345544, 0.9474862849725048, 0.9474925899562672, 0.9475011681053722, 0.9474648352753552, 0.9474810458720271, 0.9474996700722182, 0.9475032361645389, 0.9474887217651957, 0.9474242537279246, 0.947450275011733, 0.947471447604021, 0.9474810138020721, 0.9474721741038244, 0.9474191078326223, 0.9474470723312567, 0.9475192729724519, 0.9475274829801666, 0.947518738386924, 0.9474875232892036, 0.9475181328574074, 0.9475724036107229, 0.9475843349473458, 0.9475807405343895, 0.9475718189984472, 0.9475196451053988, 0.9475472048181515, 0.9475691636269833, 0.947569856945875, 0.9475162109418752, 0.9475483254067782, 0.9475740672265252, 0.9475696960068138, 0.9475609844546262, 0.9475003729604345, 0.9475236464136547, 0.9475581923649926, 0.9475570779120848, 0.9475490082740169, 0.9475401019346978, 0.9474744066815514, 0.9475102643079987, 0.9475423745078561, 0.9475336937304276, 0.9474955245279718, 0.9475387326300415, 0.9475674471816748, 0.947565073789962, 0.9475585125499125, 0.9475489831974236, 0.9474701464730696, 0.947499187864672, 0.9475062407932934, 0.9475181594040126, 0.9475157713242728, 0.9474871511114422, 0.9475131543061645, 0.9475371006749811, 0.9475384963466734, 0.9475301534394422, 0.9475205481002286, 0.9474634373246504, 0.9474963289623045, 0.9475305678893823, 0.9475375467688407, 0.9475277497477296, 0.9474528216824901, 0.9474985136046923, 0.9475308951319495, 0.9475353917569936, 0.9474985153202895, 0.9475303336078114, 0.9475593837458176, 0.9475671320585023, 0.9475637507529616, 0.9475206882831371, 0.9475443093608759, 0.9475749247954282, 0.9475788425280816, 0.9475292905331065, 0.947547227290204, 0.9475790214070562, 0.9475829107105098, 0.9475817821952353, 0.9475791396376432, 0.9474863326950996, 0.947495173644499, 0.9475345576526237, 0.9475377413487391, 0.9475288755129591, 0.9474740244684924, 0.9475137507002593, 0.9475469990782578, 0.9475126862448715, 0.9475446526498664, 0.9476100397100263, 0.9476332245960164, 0.9476300368007338, 0.9476248600882061, 0.9475613508861512, 0.9475877370998729, 0.9476295576581648, 0.9475939572686377, 0.9476318245292296, 0.9476608280222419, 0.9476719016444755, 0.9476624342883628, 0.9475902707001399, 0.9475994209535806, 0.9476105043725228, 0.9476054368193791, 0.9475471408287869, 0.9476103747244073, 0.9476278161438515, 0.9475946402557807, 0.9476228781896062, 0.9476272968916449, 0.9476268055877993, 0.9476180716188914, 0.9475550768160947, 0.9475758939530317, 0.947592841782775, 0.947594928937594, 0.947524343302902, 0.9475483960006942, 0.9475661291777485, 0.9475609839449385, 0.9475003455680386, 0.9475198604855218, 0.9475336172449981, 0.9475538672321394, 0.9475493945820901, 0.9474835015481342, 0.9475245207869983, 0.9475361115210251, 0.9475393225104897, 0.9475360308708519, 0.9474950043016604, 0.9475191948044985, 0.9475330092729126, 0.9475330393749729, 0.9475236984424773, 0.9474575734331124, 0.9474939890311441, 0.9475117436222091, 0.947461003627778, 0.9474747070682269, 0.9474930636898824, 0.9474927605128669, 0.9474851575886939, 0.9473941083226355, 0.9474079784825049, 0.9474290614604729, 0.947440322614115, 0.9474348375045402, 0.9473529216117784, 0.9473955239759281, 0.947420595032935, 0.9474204959736634, 0.9473747762839859, 0.9474280795887982, 0.9474379935780612, 0.9474340590855591, 0.9474252258071237, 0.9473860531581644, 0.9474032898752428, 0.9474238273373291, 0.94742771780631, 0.9473858213022207, 0.9474123155706606, 0.94743288370966, 0.9474254546264932, 0.9473772261912812, 0.9474163097430219, 0.9474699474092738, 0.9474657103774631, 0.9474176246922752, 0.9474574412886366, 0.9474800686752357, 0.947482148583309, 0.9474737127492467, 0.9474437091648925, 0.9474516736514321, 0.9474862226437556, 0.947481641450551, 0.9474090919281255, 0.9474370931789659, 0.9474523051907091, 0.9474577447460899, 0.9474061282329983, 0.9474407123571106, 0.9474641153027779, 0.9474601417043419, 0.9474504378603482, 0.9474050442069217, 0.9474271412954455, 0.947462535017945, 0.9474535609213334, 0.9473475382431749, 0.9473803673110894, 0.9473991463271905, 0.9473903928320335, 0.9473006831379845, 0.9473288920259243, 0.9473517208920386, 0.9473524989980824, 0.9473457242658156, 0.9473346292083825, 0.9472600013879506, 0.9473036672392117, 0.9473337810801467, 0.9473023403537328, 0.9473548359647288, 0.9473710714305978, 0.947369093104324, 0.9472933390073622, 0.9473149774601929, 0.9473399915280016, 0.9473757919401253, 0.9473812571103527, 0.94737714221506, 0.9472608724781509, 0.9472858004439901, 0.9472905880582946, 0.9473139935927244, 0.947318825537658, 0.9472700777040222, 0.9472979081846533, 0.9473182697094873, 0.947310101034637, 0.947299973060826, 0.9472485955799572, 0.9472832479116766, 0.9473049607327502, 0.9473035951110386, 0.9473362647468988, 0.9473689489407736, 0.9473180722304053, 0.9473796335747763, 0.9474130546144872, 0.9474082663937896, 0.9473700084665857, 0.9473823326397324, 0.9474035476670616, 0.9474002261985, 0.9473891120048527, 0.9473179683704863, 0.9473569791414718, 0.9473972220042151, 0.947398781904432, 0.9473967783597049, 0.9473225981430294, 0.9473561558146968, 0.9473931850295226, 0.9474089178410957, 0.9473502418199252, 0.9473791103632905, 0.9473884724099791, 0.9473827298855769, 0.9473063006374278, 0.9473372395361807, 0.9473689167133319, 0.9473633872456603, 0.9473188800965354, 0.947339522340556, 0.947365748197159, 0.9473605536854434, 0.9473088226108002, 0.9473374870318008, 0.9473623782377584, 0.947353464259212, 0.9472679596581983, 0.947307256256467, 0.9473370268595147, 0.9473319599524465, 0.9472713482449551, 0.9472864926059577, 0.9473307110685985, 0.9473473343443174, 0.9473370345120561, 0.9472936387690428, 0.9473248106060606, 0.9473442647871348, 0.9473830413417916, 0.9473781184630267, 0.9473244275675197, 0.947334899030127, 0.9473669180012638, 0.947381411707147, 0.9473715440210153, 0.9473143465609086, 0.9473422464247022, 0.9473728230972346, 0.9473831366255199, 0.9473714729895278, 0.9472750309400707, 0.9472953342723385, 0.9473384900380059, 0.9472881096303628, 0.9473084459111065, 0.9473327070785214, 0.9473312262483152, 0.9473249736687518, 0.94726982426472, 0.9473034775055479, 0.9473209850206646, 0.9473234233130102, 0.9472797899703916, 0.9472899624845903, 0.9473530131464069, 0.9473807969227516, 0.9473729753076467, 0.9472982931715753, 0.9473327836438487, 0.947353913389485, 0.9473649493460455, 0.9473542973209388, 0.9473081651717181, 0.9473138947227808, 0.9473545908293274, 0.9473504070442978, 0.9472946447351502, 0.9473276115214345, 0.9473457614944131, 0.9473387897470986, 0.9473293878911224, 0.9472552733925436, 0.9472885405886284, 0.9472992318865097, 0.9472575964053713, 0.9472753208423296, 0.947309350950363, 0.9473476001848108, 0.9473538825177144, 0.9472709733864756, 0.9472857537129741, 0.9472957768394972, 0.9473008423784133, 0.9472924398463407, 0.9472816282534003, 0.9472099854808158, 0.9472278264729058, 0.9472427942804179, 0.9472754520661381, 0.9472671005495433, 0.9472187427720054, 0.9472415199525888, 0.9472636352435246, 0.947269862191219, 0.9472624453774312, 0.9472501152097117, 0.9471605786152724, 0.9471998156083606, 0.9472113189636338, 0.947165605383736, 0.9471870372982404, 0.9471977197900855, 0.9472106706026436, 0.9472061502883891, 0.9471725785889931, 0.947208194684182, 0.9472512244401426, 0.9472512806095535, 0.9472000847255686, 0.9472412608525237, 0.9472506347890911, 0.9472119617946024, 0.947235408109308, 0.9472527272685942, 0.9472645873139425, 0.9472102493055877, 0.9472484357272682, 0.947262791868039, 0.9472204454397802, 0.9472594022240881, 0.9472890181274278, 0.9473014434669967, 0.9472945065907529, 0.9472504087168574, 0.9473535146510093, 0.9475636545334337, 0.9476027979103289, 0.9475632669120989, 0.9475821767045116, 0.947591657385228, 0.947582306567739, 0.9475490622771372, 0.9475796135049493, 0.9476257047256726, 0.9476417667761363, 0.9476446392787868, 0.9476414376799718, 0.9476325986366264, 0.9475109730553722, 0.947533639505923, 0.9475570427189737, 0.9475292180109881, 0.9475541008572622, 0.9475694164526494, 0.9475621406104094, 0.9474995694480324, 0.9475004460193541, 0.9475173562771035, 0.9475546453237482, 0.9475486080704749, 0.9474811978805093, 0.947544710810363, 0.9476186474716318, 0.947641391222544, 0.9475958098874986, 0.9476074390627991, 0.947616308472731, 0.9476070921909137, 0.9475563856012158, 0.9476041283282869, 0.9476137849749928, 0.9476041037366962, 0.947560538484585, 0.9475831618137863, 0.9476046118599093, 0.9475988283679966, 0.9475880686572901, 0.9475024428027154, 0.9475327498204824, 0.9475615996297772, 0.9475757441609952, 0.9476274375455426, 0.9476194805305808, 0.9475655838569516, 0.947586389328686, 0.9476123662177232, 0.9476257749652652, 0.9476225140041029, 0.9475815940269572, 0.9476009215354352, 0.9476232164476213, 0.947621750677194, 0.9476158500872303, 0.9476039181026985, 0.9475363099910568, 0.947577841424904, 0.9475793658856019, 0.9475707712520879, 0.9475160080869789, 0.9475360597146213, 0.9475554609278438, 0.9475465154059651, 0.9475346443472704, 0.9474866947272713, 0.9475068991470146, 0.9475153913291003, 0.9475081138654942, 0.9474977779555936, 0.947450411360749, 0.9474803165066462, 0.9475131307513319, 0.9475080754087206, 0.9474413803737936, 0.9474816979170684, 0.9475004073305328, 0.9474914837117869, 0.9474804026946049, 0.9474473657439062, 0.9474639481667637, 0.9474835281967449, 0.9474402417731506, 0.9474613355239254, 0.9474763674860852, 0.9474665324355441, 0.9473871649374391, 0.9474652925935103, 0.9474674804344176, 0.9474000505822108, 0.9474327812560716, 0.9474621457597461, 0.9474576553575721, 0.9474472734890674, 0.947366036764139, 0.9474353674436353, 0.9477029413168319, 0.9477694114352273, 0.947726565069445, 0.9477758350824229, 0.9477475164843575, 0.9477628364197728, 0.9477698065504081, 0.9477626347397107, 0.9476747252325755, 0.9477097592303813, 0.9477174920193566, 0.9476730695062564, 0.9476997644580575, 0.9477280314195391, 0.9477280661578423, 0.9477171398115216, 0.947705957557251, 0.9476285560027565, 0.9476606326526845, 0.947664624040387, 0.9476569536785353, 0.947585760059936, 0.9476011710115936, 0.9476056668779093, 0.9475762811016634, 0.947590180110716, 0.9476056111256466, 0.9476062562001571, 0.9474982490002356, 0.9475433547006132, 0.9475496389345238, 0.9475388815454269, 0.9475126048111965, 0.9475456863149133, 0.9475512125730958, 0.9475407848146292, 0.947495197854853, 0.9475234279082453, 0.9475560196878441, 0.9475469806781865, 0.9475060360721183, 0.9475369288346991, 0.9475394464038313, 0.9474857740477056, 0.9474990091547603, 0.9475037835001214, 0.9474954296160878, 0.9474836099613726, 0.9474122805589825, 0.9474439946634063, 0.9474573828593482, 0.9474589025143045, 0.9474151365379098, 0.9474407638576376, 0.9474494064461626, 0.947442512189194, 0.9474317944685055, 0.9473644228947076, 0.9474062635324493, 0.9474273058629313, 0.9474231455868793, 0.9474120979972938, 0.9472620873944426, 0.947292406337115, 0.9473461415090393, 0.947335944846419, 0.9472974138108005, 0.9473138238893497, 0.9473349112212146, 0.9473521163101615, 0.9473428125256842, 0.9473316875513279, 0.9472627552469312, 0.9472893798227501, 0.9473044443602595, 0.9472787406090308, 0.9472944651441466, 0.9473195679126328, 0.9473149141387616, 0.947315727100365, 0.9472630046803392, 0.9473029206694739, 0.9473108616212145, 0.9472998919361928, 0.9472859107347098, 0.9471952740900297, 0.947237676798373, 0.947252554299572, 0.9471960931443472, 0.9472441055897479, 0.9472621075081856, 0.9471816622148741, 0.947226532082675, 0.9472494661356701, 0.9472202767828773, 0.9472872770598356, 0.9473149394179227, 0.9472524707307663, 0.9472888930375832, 0.9473221751392412, 0.9473172936293124, 0.9472479266458879, 0.9472899163172928, 0.9472915695581207, 0.9472227496397064, 0.9472829042595026, 0.9472901081814356, 0.947279122247817, 0.94720333150876, 0.9472526237855795, 0.9472617755643934, 0.9472504481711179, 0.9472023039849535, 0.9472342205316807, 0.9473017430548322, 0.9473138013152432, 0.947304942304896, 0.9471964316996591, 0.9472491923016979, 0.9472664594289644, 0.9472553924576391, 0.9471780609165763, 0.9471917018305481, 0.9472213918122137, 0.9472166919926311, 0.9471725611797367, 0.9472471400834804, 0.9472600659915265, 0.9472522489367624, 0.947203246373277, 0.9472472479255678, 0.9472866811494495, 0.9472962963590723, 0.9472471499276347, 0.9472792305048645, 0.9473010537752145, 0.9472955431284272, 0.9472052277710027, 0.947222961805464, 0.9472583910005896, 0.9472473472611344, 0.9471857687437907, 0.947242371787824, 0.9472714144075867, 0.9472851228569845, 0.9472331977011671, 0.947285062464567, 0.9472848184342155, 0.9472711725556558, 0.9472046049350078, 0.9472588771233764, 0.947274078233715, 0.9472973077110792, 0.9472841726618705, 0.9472473054138555, 0.9472925277142664, 0.9473405737757635, 0.9473316745019431, 0.9473202428218952, 0.9472474246554394, 0.9472808158025218, 0.947300472913619, 0.9472937608110292, 0.9472222963543904, 0.9472550258937075, 0.9472678725236865, 0.9471392036084388, 0.9472005486105953, 0.9472030560650053, 0.9471265024124247, 0.9471304073927608, 0.9471869205960103, 0.9471907962462565, 0.947137338918168, 0.9471696248532755, 0.9471992383079754, 0.947192898917647, 0.9471051806237669, 0.9471883894235992, 0.9471906801355698, 0.9471790636003999, 0.9471672581709777, 0.9471038228528342, 0.9471358847874253, 0.9471557711724065, 0.9471054995073376, 0.9471549111994572, 0.9471764846498862, 0.9471690934571774, 0.9470862743932398, 0.9471128495313349, 0.9471071300809666, 0.9470506754271986, 0.9471129044548164, 0.9471353867799482, 0.9471244969151137, 0.9470882861522165, 0.9471198797325909, 0.9471361155537698, 0.9470918797415004, 0.9471426036885383, 0.947174124466615, 0.9471682063710634, 0.9471119630593072, 0.9471295438366784, 0.9471554697697425, 0.947147128112488, 0.947100018241373, 0.9471207792745822, 0.9471332935406198, 0.947119586354204, 0.9470607606715891, 0.9470817374901644, 0.9471136009497663, 0.9471135877886876, 0.947083520582022, 0.9471514319163866, 0.9471699649664446, 0.9471579912847781, 0.9471171908782227, 0.9471340142590235, 0.9471579348650002, 0.9471598426509554, 0.9470899282971119, 0.9471043036872888, 0.9471244822788791, 0.9471127828769004, 0.9470506753781237, 0.947088850009878, 0.947094355342637, 0.9470358485572447, 0.9471169531321033, 0.9471350908901232, 0.9471249462660957, 0.9471130601401945, 0.9470059861506022, 0.9470424509787266, 0.9470482547808068, 0.947019351998418, 0.9470507733658892, 0.9470652062977069, 0.9470556630131098, 0.9470121517866505, 0.9470735682511336, 0.9471084133151714, 0.9471082045205635, 0.9470443803382138, 0.9470801902985142, 0.9471142696368634, 0.9470749482930638, 0.9471007267530803, 0.9471144455495898, 0.9471016371716473, 0.947088489040183, 0.9470461897032355, 0.9470949222556894, 0.9471052007463003, 0.9470605118133688, 0.9470964911251204, 0.9471478858612512, 0.9471470728241852, 0.9471061511919359, 0.9471173195978854, 0.9471464875148934, 0.9470860750207183, 0.9471084113588903, 0.947132476010704, 0.9470940255425039, 0.947114625796655, 0.9471396296262692, 0.9471291635885772, 0.9470765602444172, 0.9471032127557873, 0.9471119017082169, 0.9471077175417191, 0.947101769549346, 0.9470634865017123, 0.9471032172313967, 0.9471177661868407, 0.9470684046510314, 0.9470938013982138, 0.9471162878076272, 0.9471153626879436, 0.9471041639675116, 0.9470508777361613, 0.9471071843272967, 0.947115920600776, 0.9470873928435589, 0.9471324624203868, 0.9471637424493168, 0.9471534374879903, 0.9470913236696565, 0.9471617021081619, 0.9471925201090817, 0.9471223190013156, 0.9471598062976232, 0.9471737249289458, 0.9471612021154998, 0.9470983042240771, 0.9471471399624931, 0.9471819577551388, 0.9471913588203449, 0.9471940781779236, 0.9471804584000398, 0.9471105728119785, 0.9471612944301782, 0.9471068227330836, 0.9471392827972607, 0.9471550313160504, 0.9470753043077444, 0.9471130833619573, 0.9472367557013998, 0.9471920082409915, 0.9472254451595191, 0.9472738894749098, 0.9472660509253288, 0.9472305291899623, 0.947266720919776, 0.9472598010929388, 0.9472478854912166, 0.9471621879523905, 0.9472160889376448, 0.9472329628177195, 0.9471917162598981, 0.9472228828299503, 0.9472300117355782, 0.9472171108863368, 0.947137053778775, 0.9471645412956381, 0.9471935128240853, 0.9471512036528381, 0.9471743505733676, 0.9471912027161914, 0.9471796259856348, 0.9471229213702268, 0.9471939734933499, 0.9471994101058769, 0.9471870733458133, 0.9471063211531485, 0.9471892092106772, 0.9472021770979675, 0.9471634229015277, 0.9472116166636544, 0.9472349152156166, 0.9472246709311876, 0.9472406971267074, 0.947133997883434, 0.9471707592078635, 0.9471860686761521, 0.9471797086031146, 0.947174183622069, 0.9470958029974532, 0.9471406315849287, 0.9471486491606987, 0.9471068613564959, 0.9471644290687629, 0.9472082537676882, 0.9472077124164401, 0.947139296983148, 0.9471823456455729, 0.947185050055279, 0.9471501831641209, 0.9471925871512143, 0.9471971507514779, 0.9471945026761183, 0.9471188360366442, 0.9471875715266651, 0.9472038402063576, 0.9471494911664354, 0.9471803473486534, 0.9472156453576254, 0.9472129916078663, 0.9471389291118234, 0.9471722678818455, 0.9471795245008101, 0.9471254515750478, 0.9471672743803143, 0.9471760051572105, 0.947163333570018, 0.9471233529162097, 0.9471552837032028, 0.9471624585780539, 0.9471558818356813, 0.9471053026484384, 0.9471427526721142, 0.9471573824896148, 0.9471509923509789, 0.9471168296686782, 0.9471506365378815, 0.9471637149844182, 0.9471510264056855, 0.9470647146707769, 0.9470972104818258, 0.9470952081394663, 0.9470535614987742, 0.9470884474299246, 0.9471022752562736, 0.9470623209765602, 0.9470917510904299, 0.9471098786747821, 0.9470960388900519, 0.9470259600744129, 0.9470471693809146, 0.9470564361088564, 0.9470113079342126, 0.9470315710889002, 0.947062895992719, 0.9469739028462008, 0.9470339272039238, 0.947031174929077, 0.9469796817883382, 0.9470238873611092, 0.9470461393992224, 0.9469601418880734, 0.9470472017370553, 0.947040574636963, 0.946981598505001, 0.9470296908448738, 0.9469464262932177, 0.9470067413480143, 0.9470494771822046, 0.9470498500539767, 0.9469832948940502, 0.9470224802006985, 0.9470318655116186, 0.9470184138696097, 0.946936775648786, 0.9469657150802565, 0.946967985677154, 0.9469596284598786, 0.9469471623107335, 0.9468697678739803, 0.9469184735378358, 0.9469446284996588, 0.946933171367693, 0.9468729450725315, 0.9469022516020957, 0.9469129673504939, 0.946845389873895, 0.9468697368695285, 0.9468951433969119, 0.9469245726338703, 0.9468687302952136, 0.9469242125739293, 0.9469323699398942, 0.946889002280229, 0.9469749385377059, 0.947026934307734, 0.9470142985681481, 0.9469461870911744, 0.9469609473036376, 0.9469750345534732, 0.9469612530651373, 0.9468742646874765, 0.9469046402852478, 0.9469103149795624, 0.9468479592051667, 0.9468755298751778, 0.9468945639061676, 0.9468814404270847, 0.9468283835181455, 0.9468469527965157, 0.9468574456383491, 0.9468448127605437, 0.9467857283094931, 0.9468133855833154, 0.9468282839679922, 0.9468215676316235, 0.9467447201860044, 0.9467791186550177, 0.9467915494123907, 0.9467791245294758, 0.9466574074167806, 0.9467446153721517, 0.9467828088263449, 0.9467787597348514, 0.9467206712637523, 0.9467513979546384, 0.9467743474298103, 0.9467658489240478, 0.9466575242962901, 0.946726858626915, 0.9467576875192779, 0.9467683860666688, 0.9466846709760063, 0.9467241922830113, 0.9467353934355799, 0.9467336447453308, 0.9466702232796673, 0.9467252542333027, 0.9468201305820556, 0.9468272845852835, 0.9468279429597679, 0.9467372463074335, 0.946748886970324, 0.946790637564618, 0.9467824359775396, 0.9467404161293237, 0.9467820574577941, 0.9467946518284426, 0.9467858475141483, 0.9467076831875147, 0.9467495766136297, 0.9467492425849531, 0.9466915460070205, 0.9467286230785572, 0.9467725047838622, 0.9467114326847011, 0.9468121595821177, 0.946864791180717, 0.9467943403783637, 0.946927669302785, 0.9471160469835574, 0.9471006762479693, 0.9471420186211088, 0.9471539107081173, 0.9471386665753547, 0.9471230294651272, 0.9471060101709627, 0.9469921389292087, 0.9470651422671141, 0.9470622654789124, 0.9470208405186112, 0.9470544152242139, 0.9470633802743479, 0.9470870004599226, 0.9470144936012181, 0.9470421517018323, 0.9470346908876596, 0.9469620312769775, 0.9470047071803079, 0.9470176070495209, 0.9469753015267576, 0.9469878735088211, 0.9469998490173546, 0.9469295620859449, 0.9469664507347566, 0.9469634653547517, 0.9469305161358141, 0.9469863225448247, 0.947005691673495, 0.9469363980412665, 0.9469713652326278, 0.9469734176761598, 0.9469588831984279, 0.946878127890329, 0.9469089357495464, 0.9469057494384943, 0.9468506664156746, 0.9469167448645915, 0.9469137801312394, 0.9469036852623378, 0.9468388611930681, 0.9469110423886851, 0.9469548175266085, 0.9468953450348029, 0.9469263864211075, 0.9469331905526801, 0.9469209925083684, 0.946842351158264, 0.9469018446381786, 0.9469411531670454, 0.946882537218264, 0.9469189277977531, 0.9469287332972, 0.946835935496007, 0.946862103620074, 0.9468711867705737, 0.9468556140236395, 0.9467670503922445, 0.946798510062438, 0.94679648833878, 0.9468089556240783, 0.9466896134343937, 0.9467412799168988, 0.9467319354540311, 0.9466368259024155, 0.946685479794033, 0.9466874978435634, 0.9466429692170562, 0.9466674582656426, 0.9466610663251754, 0.9466506386370559, 0.9465692701099443, 0.9465974874752481, 0.9466085202094658, 0.9466001600230398, 0.9465108006515746, 0.9465525957781042, 0.9465540086663896, 0.9465042568490845, 0.9465204617363792, 0.9465129573999121, 0.9464433989881347, 0.9464566414839651, 0.9464915356487158, 0.9464243270058986, 0.9464578248075509, 0.9464451113940374, 0.9463668217023773, 0.9463925638125216, 0.9464503982874624, 0.9464639195777658, 0.9463834690394982, 0.9464279453399599, 0.9464401184544803, 0.9463888233713091, 0.946440642997612, 0.9464612689198505, 0.9464528073157555, 0.94636023333403, 0.9463756761633971, 0.9464171711612548, 0.9462550678808971, 0.9462998592884013, 0.9462953633487122, 0.9462141916638083, 0.9462610408872557, 0.946263560329766, 0.9462480272447877, 0.9461911746608261, 0.9462466242631605, 0.9462188362268943, 0.9463005053168752, 0.9463119301515301, 0.946289141712974, 0.9462041411392863, 0.9462353979798475, 0.9462697171773866, 0.9462299079628106, 0.9463056493962605, 0.9463155887217567, 0.9462571484077557, 0.9463297439236741, 0.9463496440366644, 0.9463442328711703, 0.9462829940163987, 0.9463089727587694, 0.9463128957667307, 0.946297320970535, 0.9462265494705651, 0.946252929633814, 0.9462589080298525, 0.9462630435636784, 0.9461959368473586, 0.9462243720779615, 0.9462249126074692, 0.9461819352485755, 0.9462105277381172, 0.9462227278359109, 0.946212910749193, 0.9460650012823105, 0.9460851070081676, 0.9460749124724869, 0.9460196249064983, 0.946064380869581, 0.94608660794059, 0.9459979083816727, 0.9461092589356433, 0.9461058405014382, 0.9460340481056223, 0.9461015954737302, 0.9460797645776269, 0.9461365165411985, 0.9461664690883955, 0.9461523214114838, 0.9461334828454248, 0.946040200729677, 0.9460950177517361, 0.9461033382985917, 0.9459628467370639, 0.9460319060691191, 0.946030414407476, 0.946020369325868, 0.9460083667421998, 0.9459920161512343, 0.9459300542858489, 0.9460358091526576, 0.9460892711834018, 0.946119336747247, 0.9461096475761788, 0.9462501585251969, 0.9462848614997105, 0.9462423675796715, 0.9463047725498709, 0.9463243065301384, 0.9462331378350015, 0.946248307311258, 0.9462623909675896, 0.9462116636078323, 0.9462817298034567, 0.9462762550932329, 0.9462104166352063, 0.9462531272840939, 0.9462440457786343, 0.9461794220982426, 0.9462045762780924, 0.9462023363250684, 0.946147210370474, 0.946218740233145, 0.9462317296957409, 0.9461506916055132, 0.946182444633263, 0.9461930120946763, 0.9460979169057864, 0.9461597854499143, 0.9461784495802407, 0.9461030110134977, 0.9461705868466579, 0.9461903480750546, 0.9461752079247017, 0.94608409835255, 0.9461273394478126, 0.946118894670438, 0.9460545186918533, 0.9460944809611624, 0.9460907311983798, 0.9460802138279837, 0.9459752942721179, 0.9460048870245357, 0.9460203262714573, 0.9460026215423526, 0.9459381601690032, 0.9459781578756998, 0.945946555498051, 0.9459856129459737, 0.9459931058566959, 0.9459804353741174, 0.9458986039117128, 0.9459490024284558, 0.9459532516525299, 0.9459152532880194, 0.9459464936445855, 0.9459650252502668, 0.9458883350569264, 0.9459355173200589, 0.9459755637031124, 0.9458969424537921, 0.945917051662235, 0.9459142589572062, 0.9459003923212842, 0.9458245208255105, 0.9458340483696572, 0.9458378400440808, 0.945822000468325, 0.9458037778912279, 0.9456434784703983, 0.9456646061247389, 0.9456653963515714, 0.945593699471454, 0.9456240358818065, 0.9456246835588348, 0.9456125612682142, 0.9455954633665641, 0.9454684736772568, 0.9455379272545605, 0.9455428070290354, 0.9455003459871559, 0.9455455404397745, 0.9455423168239356, 0.9455325376537785, 0.9455155642023346, 0.9453786122305684, 0.945416210389224, 0.9454077039617657, 0.9453226651810421, 0.9454016561249121, 0.9453355383879027, 0.9454343052597676, 0.9454418256466302, 0.9454455650622182, 0.9453898742626057, 0.9454892270981474, 0.9455526698716178, 0.9454737559394, 0.9455129151654755, 0.9455027288639212, 0.9454207902483764, 0.9454540970162598, 0.9454665003744043, 0.9454503722405885, 0.945382096744301, 0.9454061169374525, 0.945392748871184, 0.9453355033943301, 0.9453947311400592, 0.9453997327147046, 0.9453131687298955, 0.9453408487339479, 0.9453423227371419, 0.9452681460560322, 0.9452958674068326, 0.9453058330327043, 0.9452487700241319, 0.9452600639742905, 0.945304261115805, 0.9452305300077748, 0.9453033071110327, 0.945240641175572, 0.9453040743241297, 0.9452955254551606, 0.9452217406471398, 0.9452682795786662, 0.945254452462903, 0.9452118662172725, 0.945239870211993, 0.9452545427335756, 0.9451247337039418, 0.9451611357434337, 0.9451919656260802, 0.9452063956790046, 0.9451231997815849, 0.945172845890935, 0.9451245828149502, 0.9451802088107712, 0.9452096089006203, 0.9451918374380117, 0.94510545417629, 0.945142022914088, 0.945164215269188, 0.9451472344317691, 0.9450898256135573, 0.9451169169197184, 0.9451475665611665, 0.945133579283181, 0.9451156926916857, 0.9450300109942529, 0.9450873062961332, 0.9450903609459979, 0.9450724276840379, 0.9449781480661966, 0.9450934878412063, 0.9450987620660479, 0.9450443558566004, 0.9451128291839354, 0.9451207548573165, 0.9450583877408213, 0.9451197190606412, 0.9451137162381829, 0.9450961489022572, 0.9449895872641357, 0.9450096821198367, 0.9450285734907088, 0.9450168764294684, 0.945005029791844, 0.9449868792139398, 0.9448781540903797, 0.9448895877840483, 0.9448807284375801, 0.9448711892266176, 0.9448611235186962, 0.9447858409007507, 0.9448096760133663, 0.944797257316073, 0.9447430495300542, 0.9448122616317223, 0.9447941838261388, 0.9446900119296308, 0.9447653965821855, 0.9447727539329797, 0.9447316212292558, 0.9447765342352605, 0.9447807835090303, 0.9447613874224201, 0.9446624649750017, 0.9447260249771311, 0.9447438012201189, 0.9446676018301237, 0.944681671418492, 0.9447279759437007, 0.9447632297354053, 0.9447347501888775, 0.9447786070501883, 0.9447751440153896, 0.9447569841330389, 0.9446708164542371, 0.9447435463187625, 0.944705512957852, 0.944760831319529, 0.9447648320077738, 0.9446686214371398, 0.944705387361307, 0.944734679074914, 0.9447301520046608, 0.9445970070013604, 0.9447053012054593, 0.9447245860089214, 0.9447029165487263, 0.9445833932633351, 0.9446833117264664, 0.9446950986259411, 0.9446767487939582, 0.9445737293637668, 0.9446372655018997, 0.9446715832032002, 0.94461360885261, 0.9446495453546876, 0.9446462670266866, 0.9446268262570828, 0.9445095215578386, 0.944517608103786, 0.9445268956839464, 0.9445104879118041, 0.9444048477172748, 0.9444549280093597, 0.9444565797776807, 0.9444080816314412, 0.9444592956221428, 0.9444784352178629, 0.9444012394352481, 0.9444630116486279, 0.9443888013206169, 0.9444657624517124, 0.944466222219208, 0.9444474597613497, 0.9443462681373176, 0.944405761782497, 0.9443685927845787, 0.944445428013842, 0.9445166546770432, 0.9444476287174113, 0.9445059573463016, 0.9445432418478483, 0.9444592636974355, 0.944543740129355, 0.9445298563756166, 0.9444556397718347, 0.9445092064084173, 0.9445497825400964, 0.9444806184938225, 0.9445667590210436, 0.9446204315533887, 0.9446365591634592, 0.9446513920091626, 0.9446994517457786, 0.9446801768911789, 0.9445917062111655, 0.9446782075706122, 0.944681826593491, 0.9446206557086919, 0.944655152858119, 0.9446485427381827, 0.9445934191353681, 0.9446201128465487, 0.9446062361820539, 0.9445877325079941, 0.9444406596324778, 0.9444844718423483, 0.9444416604723287, 0.9444605358435916, 0.944455124454623, 0.9444370122630992, 0.9443377261559079, 0.9443639075566878, 0.9443880929827062, 0.9443685839873095, 0.9442771527086562, 0.9443092966291474, 0.9443043436839775, 0.9442281603317635, 0.9443160174436149, 0.9443162814991836, 0.9441861708940488, 0.9442071869997001, 0.9441954413177415, 0.9441757832975431, 0.9441541434727388, 0.9441932681622546, 0.9441909021013056, 0.9441689271006511, 0.9440853588727744, 0.9441537010510598, 0.9441927972635373, 0.9441780909201609, 0.9441930960239103, 0.9441510033416354, 0.9441833604349886, 0.9441846006220165, 0.9441028753875526, 0.94411656792448, 0.9441222121213415, 0.9441015357596751, 0.9440268942244111, 0.9441119272752159, 0.9441106917808415, 0.944089160559779, 0.943999508378994, 0.9440389572696741, 0.9440500028605755, 0.9440288683867127, 0.9439550127153551, 0.9439688347873946, 0.9439630760230732, 0.9439418562787502, 0.9438722973409641, 0.9439342170675847, 0.9439248440839583, 0.9439138512153317, 0.9438321502686557, 0.9439126300319857, 0.9439257051267268, 0.9438783827256846, 0.9439179096399888, 0.9439425593875928, 0.9439305657063457, 0.9438324015233068, 0.9438859334853256, 0.9438721280804442, 0.9437420261288969, 0.9437846408963325, 0.9437202439361231, 0.9437629165097173, 0.9437719333981271, 0.9437495087579363, 0.9435684768482689, 0.9437202683591056, 0.9436599522720522, 0.9437068981922675, 0.9437111647748491, 0.943694449287061, 0.9436748727177867, 0.9435169997236773, 0.9435754009216861, 0.9434476700829155, 0.9435020251570658, 0.9434388672716859, 0.9434833846762737, 0.9434750556592164, 0.9434530847265247, 0.9433151055517447, 0.9433529078712172, 0.9433498413451559, 0.9432768368292277, 0.9433553366447228, 0.9433370976849238, 0.9432893177258619, 0.9433440954605645, 0.9434253518610866, 0.9434034479471967, 0.9433497941281375, 0.9434328774936431, 0.9433963391767256, 0.9434654381462176, 0.9434583268533694, 0.9433706808368517, 0.9434328662359301, 0.9433850491537752, 0.9434201760861346, 0.9433484029646457, 0.9433620523796926, 0.9433474278084194, 0.943246728206117, 0.9434043880816122, 0.9433549751870589, 0.9433932358690648, 0.943374058021354, 0.9432980180921301, 0.9433051139767508, 0.9433063334665165, 0.9432598651821555, 0.9433242250784659, 0.9433169592771158, 0.9432938870974102, 0.9432478725924306, 0.9433237622107774, 0.9433120051066158, 0.9432303376345035, 0.9432404116452103, 0.943237215424365, 0.9432123000390168, 0.9433503058250873, 0.9433281514829296, 0.9432131037276528, 0.9432722601168446, 0.9432019199696138, 0.9432568473472515, 0.9432465824399187, 0.9432239543877836, 0.9430894683851729, 0.9431600607153897, 0.9432114189529139, 0.9431669787611492, 0.9432088494484501, 0.9432174079234534, 0.9432091531487078, 0.9431189883427131, 0.9431612224369939, 0.9431629163806803, 0.9430585246460328, 0.9431037822842486, 0.9430925443853037, 0.9430270894516917, 0.9430987866561685, 0.9430855658507181, 0.9429920054033949, 0.9430521257944676, 0.9430416124736174, 0.94290590176886, 0.9429617584161633, 0.9429467535329131, 0.9429241876127555, 0.9427855472741291, 0.942805718173922, 0.9428018408314485, 0.9427054119236722, 0.942742260003521, 0.9426843721423636, 0.9427331504640492, 0.9427208125985542, 0.9426341497276932, 0.94264509978471, 0.9426552048660017, 0.9425444293441718, 0.9425754014419462, 0.9425538888827311, 0.9424629638734213, 0.9425000476006118, 0.9425324031081586, 0.9424144321860658, 0.9425296138186148, 0.9425353431445924, 0.9424823121195651, 0.9425449570163563, 0.9425882968574009, 0.942520711458157, 0.9425973905579947, 0.9425368644718652, 0.9426117581142194, 0.9426535122841859, 0.9425734252723122, 0.942695695155927, 0.9425990615098471, 0.9426742474808805, 0.9427375582721982, 0.9426866392848514, 0.942782044794544, 0.9428348927237227, 0.9428207812401708, 0.9427119274061265, 0.9428728513445772, 0.942864168928954, 0.9428005940860259, 0.9431779130761799, 0.9433278295536748, 0.9433246075425281, 0.9433492051364167, 0.9433675037691568, 0.9433397661408687, 0.9432584242199072, 0.943344485095116, 0.9433008530162315, 0.9433532597871972, 0.9433687401194163, 0.9433545787701392, 0.9432518475476516, 0.9433240150729821, 0.9433139344369732, 0.943253687083399, 0.9433264684887223, 0.9432632504333966, 0.9433330702861953, 0.9433655334400274, 0.9433620425800804, 0.9432567755379956, 0.9433034838015845, 0.9432768566736265, 0.9433594588613762, 0.9433656770791169, 0.9432398286547877, 0.9433398663682345, 0.943208634120986, 0.9432788851836899, 0.9432547129822485, 0.9431610810666808, 0.9431862098375512, 0.9431616489038139, 0.9431014347681015, 0.9431612190326124, 0.943136685072169, 0.9431742986812467, 0.9432007208785624, 0.943108082085116, 0.9431238492840641, 0.9430357972957779, 0.943100651803794, 0.9430104181556753, 0.9430928508090772, 0.9430050678266322, 0.9430551035584026, 0.9430050589023684, 0.9430702767700924, 0.9430451715369474, 0.9429349666165576, 0.9430114210898054, 0.9430223292246656, 0.9430590494348821, 0.9430358158044343, 0.9429553696761234, 0.9430097800508725, 0.9430203065114546, 0.9429305045355724, 0.943005163681369, 0.9429523957467366, 0.9429909431087868, 0.9429861284358522, 0.9429599098737173, 0.9428616442132988, 0.942921173513533, 0.942913709760362, 0.9428398795689474, 0.9429034158338472, 0.9428785473239998, 0.9428042502821593, 0.9428599954555157, 0.9428390845573736, 0.9427480784357017, 0.9428031989617526, 0.9427981428820551, 0.9426619199343719, 0.9427106511263067, 0.9427158765687043, 0.942613576212385, 0.9426640551202978, 0.942573313808492, 0.9426089165590754, 0.9425287756933614, 0.9425480945257498, 0.9425246857268444, 0.9425998481662143, 0.9425019099015942, 0.9425823762563276, 0.9425637543726408, 0.9424481372182857, 0.9424626774029436, 0.9424697061177495, 0.9423997834961505, 0.9424453095054734, 0.9423769993925896, 0.9424489580213856, 0.9424269233616135, 0.9423742148072232, 0.9423852770610597, 0.9423815779251506, 0.9423561332169845, 0.9422394109421739, 0.9423038438720304, 0.9423134506861329, 0.9423030221382395, 0.9422119563673551, 0.9423236462924375, 0.9422557841188727, 0.9423039948728904, 0.9422850181489173, 0.9422584852674944, 0.9421463257873313, 0.9422161090369947, 0.9421618673842496, 0.9422709479815943, 0.9422707207836145, 0.9421818162260234, 0.9422769550905454, 0.9423304382786181, 0.942224907484329, 0.9423702525496067, 0.9422847865299334, 0.9424235758255469, 0.942286003470214, 0.9423077270828549, 0.9422377442593508, 0.942285083897754, 0.9422657655943326, 0.9422107818061104, 0.9422564889985136, 0.9422298567140655, 0.9421229761688193, 0.9421704816821015, 0.9420901637850272, 0.9421738250296808, 0.9422071950427338, 0.9421473413494996, 0.9422174380267996, 0.9421873257181099, 0.9421123844014508, 0.9421440216893513, 0.9420226526224569, 0.9421311180267997, 0.9420529801324503, 0.9420957793970672, 0.9420846292521329, 0.9420399418076147, 0.9420896789011982, 0.9420469718711736, 0.9420951585513904, 0.9419981301663412, 0.9420618984462408, 0.9419658928538291, 0.9420666323781443, 0.9420289855072463, 0.9421124950959338, 0.9420516486462336, 0.9421139392584728, 0.9421054200925836, 0.9420198430769461, 0.9420645739575358, 0.9420992253739542, 0.9420323749083235, 0.9420439336222307, 0.9420269498365967, 0.9419337532686298, 0.9419926988804325, 0.9419899047561818, 0.9418475068897489, 0.9419284479218857, 0.9419278243663431, 0.9419015710991661, 0.9418061160705011, 0.9419418114200191, 0.9418455614098528, 0.9419231767404767, 0.9418445178338041, 0.9419046263345195, 0.9419056643543882, 0.941802796859573, 0.9418415417558886, 0.9418419970139249, 0.9417464801628253, 0.9418283288671049, 0.9417219910665117, 0.941776884091383, 0.9417796681546365, 0.9417493392576703, 0.9416678973017447, 0.9416586204844601, 0.9416686992611599, 0.941682071305865, 0.9415962810187913, 0.9416587505130246, 0.9415103604805376, 0.9415458180277734, 0.9414467220976714, 0.9415882187557564, 0.9414930093500065, 0.9415319484750296, 0.9414490959452331, 0.9414554250280444, 0.9414397474742554, 0.9414226838692572, 0.9412229583942191, 0.9412201041218147, 0.9411160286213476, 0.9411664295874822, 0.9411466788635681, 0.9410274415850854, 0.9410869770590922, 0.9410182751665546, 0.9411228542286074, 0.9409991182390086, 0.9410780238932224, 0.940994269170517, 0.9410836777658943, 0.9410108732147008, 0.941075088411222, 0.9410547963459821, 0.9409193645879257, 0.9410008124190326, 0.9409003021268852, 0.9409553343670285, 0.940888278204856, 0.9409530642798306, 0.940959661182812, 0.9408387775250895, 0.9408435572330486, 0.9408195883136803, 0.9408404749196886, 0.9407466582745279, 0.9407479093974579, 0.9407612255294374, 0.9407118463007623, 0.9407731316996143, 0.9407432613081205, 0.940578373745293, 0.9406419698891165, 0.9405421361753239, 0.9405672964302083, 0.940546335378915, 0.9404393899177165, 0.940451359451194, 0.9404188605814828, 0.9402081606865939, 0.9402200571795656, 0.9401732761774025, 0.9402292705495296, 0.940224625709542, 0.9400994938682572, 0.940159157324704, 0.9401130573610174, 0.9402043958542156, 0.9401794409993114, 0.9399628113923315, 0.9399743352284289, 0.9399425353025622, 0.9399105767611826, 0.9397891746318054, 0.9398127693628656, 0.9397351518515582, 0.9397625579928927, 0.939703764700473, 0.9397566173195281, 0.9397704564714745, 0.9398307799574124, 0.9397535802562312, 0.9398695936760485, 0.9398357974905691, 0.9396885521885522, 0.9397301406149324, 0.9396839181003048, 0.9397136795218431, 0.9396031863418345, 0.9396704646604745, 0.9395913476297443, 0.9396899855501739, 0.9396592477333, 0.9395404359443833, 0.9395722106981331, 0.9395218601325991, 0.9395978155572352, 0.9395573248543383, 0.9396314209188461, 0.9396792881605479, 0.9396084047624137, 0.9396401637485937, 0.9395346345853063, 0.9395562930661144, 0.9395311621840772, 0.9393903558658413, 0.9394670258268286, 0.939391132385191, 0.939461612747465, 0.9393129292571285, 0.9393127517823433, 0.9393096226161988, 0.9391457005090903, 0.9392025257909925, 0.9391363149117333, 0.9391685939373106, 0.9391558003352417, 0.9391369880617626, 0.9389928126664745, 0.9390704025342728, 0.938951680028037, 0.9390045832045608, 0.9388660294334101, 0.9389357614234399, 0.9387770853455766, 0.9388760286079341, 0.9388187052330642, 0.9388297872340425, 0.9387768652108384, 0.9388969604620877, 0.9388920300218401, 0.9389703549375525, 0.9389459569262738, 0.9389104237241073, 0.9389808280077799, 0.9389015911322263, 0.9389407697174376, 0.9389466457434288, 0.9388691814323762, 0.9389294219092765, 0.9388298526966823, 0.9388903443071873, 0.9385518758429079, 0.9386358208551692, 0.9385369464353415, 0.9385420994634824, 0.9384644978783593, 0.9384934159127708, 0.9383954089733703, 0.9384455102378969, 0.9382393804805831, 0.9382599282092189, 0.9381807309212749, 0.9382158607915551, 0.9381033334782439, 0.9381296248809436, 0.9380974962715546, 0.9378666182249642, 0.9379009813468139, 0.9380007648254033, 0.937961639540781, 0.9377935683112656, 0.937848559499439, 0.9376532911330724, 0.9377864988505213, 0.9377166493734908, 0.9377831477885954, 0.9376253037046719, 0.9376655285000958, 0.9376679707035723, 0.9375965110946815, 0.9376293535366779, 0.9376566724298693, 0.9375127701098406, 0.9375158624968275, 0.9374969137616836, 0.9374049217002237, 0.9375686414992953, 0.9374927735605523, 0.9375532766465878, 0.9375573009706902, 0.9374541391896306, 0.9375038490144154, 0.9374426528013884, 0.9375725176711773, 0.9374991091663222, 0.9379309032707625, 0.9378949698543536, 0.9379740081557986, 0.93787752998769, 0.9380706563264058, 0.9381386581958743, 0.9381480559518225, 0.9380940512196174, 0.9381493241752443, 0.9380197467721623, 0.9380973913210796, 0.9380532890461405, 0.9381764137695141, 0.938209410681444, 0.9382513555757096, 0.9381168305099092, 0.9382157620112489, 0.9381590389930647, 0.938292286172129, 0.9381420982994124, 0.9381729589750579, 0.9381185887832482, 0.9381907979737405, 0.9381397744722509, 0.9382485304249674, 0.9382106387712046, 0.9381674067006716, 0.9379979786482455, 0.9380980905292411, 0.9379851252840657, 0.9380205359428223, 0.9379143542545506, 0.9379493607172994, 0.9378685726003098, 0.937830671456477, 0.9379363828722356, 0.9378549999627785, 0.9381310402897104, 0.9380802259493702, 0.9381066240044587, 0.9382009322523456, 0.9381343957980718, 0.9382340376097075, 0.9381685403093699, 0.938206873077568, 0.9380543407625973, 0.938111558886671, 0.9380681732523255, 0.9379131065613413, 0.9379119646507548, 0.9378224739748988, 0.9378615418037052, 0.937755419641027, 0.9377514768926128, 0.9376534380262543, 0.9377014563230002, 0.9376153224453696, 0.9376495873233884, 0.9375957803200399, 0.9376589034325689, 0.9375776452971503, 0.9376046644610546, 0.9375634011912397, 0.9376502357742704, 0.9375768064886122, 0.9375278916240491, 0.9376153429551924, 0.9374647829342281, 0.9375645353582952, 0.9375265716913896, 0.9374650197694723, 0.9374998386842832, 0.9373982058374912, 0.9374318800208146, 0.9374643771308953, 0.937347183504384, 0.9373626601973017, 0.9372929484145764, 0.9373119880088684, 0.9372196841959871, 0.9372291547016133, 0.9373322987127334, 0.9372370156377567, 0.9372942652207729, 0.9371601478029015, 0.9371301697409218, 0.937258882714767, 0.9371476442880176, 0.9372101545754382, 0.9371229581990174, 0.9371658001369179, 0.9371986171104804, 0.9370016477961721, 0.9370319819006447, 0.9369297718289329, 0.9369947105158778, 0.9368945887936436, 0.9368503187947261, 0.9368984615055477, 0.9367594441392064, 0.936890586565879, 0.9369018697233669, 0.9367705379387534, 0.9367186531318565, 0.93683281941713, 0.9367066018834713, 0.9370249669777614, 0.936927923824397, 0.9370247960795168, 0.9369322119108116, 0.9369887080631826, 0.9369080620653222, 0.9369564802677299, 0.93682494340107, 0.93686132284575, 0.9367548009104679, 0.9366478889502899, 0.9366892055591041, 0.9367691510016768, 0.937144340229555, 0.9370563402880365, 0.9371738040983357, 0.9371262794473785, 0.9370453196011298, 0.9371110747042015, 0.9370057715040678, 0.9370415630906616, 0.9369640045151131, 0.9370143092242894, 0.9368851290337912, 0.9368544863896046, 0.9370019368926188, 0.9368434072962085, 0.936843970932866, 0.9367093603836514, 0.9367811875712464, 0.9366887799250072, 0.9367779331269139, 0.9367087890292968, 0.9368349706195975, 0.936737731272403, 0.936780825032974, 0.9367728133907591, 0.9367038817932808, 0.9368883563011784, 0.9367609166278208, 0.936852047972064, 0.9367474024633593, 0.9367586551207672, 0.9366045639190325, 0.9366746715963212, 0.9366067670950149, 0.9366909297582058, 0.9366022797867576, 0.9366377004381082, 0.9365472384394403, 0.9365522837931834, 0.9364022473607455, 0.9364161009434374, 0.9362621093249088, 0.9362406216896862, 0.9363085415540985, 0.9362420620533991, 0.9363115478482761, 0.9363309152357718, 0.9362622146731557, 0.9363306986740578, 0.9362513488005598, 0.9362725769337155, 0.9362010505012417, 0.9362251065912616, 0.9360641102952479, 0.9360640897445759, 0.936062554773917, 0.9360623435115635, 0.9359925485810564, 0.9360129915626094, 0.9359447210045323, 0.9359520049018296, 0.9358204773599752, 0.9358671463430641, 0.9358829676071055, 0.9357705411331162, 0.9358503224106071, 0.935884869140865, 0.9356700522423298, 0.9357063303332229, 0.9353791509342627, 0.9354642212066479, 0.9356018893510134, 0.9355285456566503, 0.9355826169428874, 0.9355055680507409, 0.9356920236539288, 0.9357016527413551, 0.9355284562789731, 0.9356417460929609, 0.9353951657751381, 0.9353976640198786, 0.9353537156609895, 0.9353963301000182, 0.9352773080198985, 0.9353337022073711, 0.9352760024141507, 0.935318790387034, 0.9351427914691649, 0.9351914318135891, 0.9351093236378125, 0.9350641253452544, 0.9351193633952255, 0.9351600600225084, 0.9351689753121604, 0.9351543115968168, 0.9353251483656231, 0.935338483022381, 0.9352522520818756, 0.9352078702768236, 0.935218539865514, 0.9352264748856715, 0.9351496048025597, 0.9351618653691216, 0.9351722429063369, 0.9351853029455156, 0.9350499138098591, 0.9352746783032531, 0.9352044042228425, 0.9352540520153803, 0.9352832597019127, 0.9352705943374177, 0.9351687645313878, 0.9352220093021464, 0.9351276809134392, 0.9351604579180046, 0.9350354609929078, 0.9350250300974414, 0.9351110249200039, 0.9350834765886775, 0.9351482275275526, 0.9351545038723427, 0.9352532022203361, 0.9352646312089057, 0.9353459791611007, 0.9352680391856228, 0.9352417165649102, 0.9353161601695081, 0.9352325075057869, 0.9353083830372944, 0.9352581931725749, 0.9353009958746091, 0.9352160943507303, 0.9351920808261881, 0.9351780377253924, 0.9352141523925934, 0.9352752307229374, 0.935219117169535, 0.9352149770792838, 0.9351942577947248, 0.9352699054433259, 0.9352204083670311, 0.935214580050701, 0.935116324848776, 0.9351013519159105, 0.9352220489933021, 0.9352160359333623, 0.9353053876945687, 0.9352069037361633, 0.9352263778865115, 0.9352159468438538, 0.9352302773580833, 0.9351597525583721, 0.9353258902752083, 0.9352735029712022, 0.935282247808319, 0.9352858908034272, 0.9352247630049947, 0.9350774071828962, 0.9350286628222223, 0.9350302252472121, 0.934961627565281, 0.9351170888890409, 0.9350321961912591, 0.9350442022144022, 0.935106620616183, 0.9350639076537842, 0.9354100541408628, 0.9354730766975187, 0.9354089042822463, 0.935647363872083, 0.9356663829080415, 0.935785918420369, 0.9357185984051967, 0.9363224678606059, 0.9362517356942255, 0.9363300968844389, 0.9361692461988447, 0.9359479603520825, 0.9359242552622975, 0.9357860875141376, 0.9357628405459328, 0.9356927519001317, 0.9356754765632195, 0.9354592235631939, 0.9354027532902353, 0.9354195570994974, 0.9354308950636016, 0.9353651301917675, 0.9353747826024721, 0.93535191440433, 0.9351024811218986, 0.9350672264671357, 0.9350484586578628, 0.9349934885264589, 0.9349989528190833, 0.9348469712763493, 0.9349236772597003, 0.9348469569128753, 0.9348486774023711, 0.9346102966097062, 0.9345704301723099, 0.9345474367369935, 0.9345712893380184, 0.9345633519536669, 0.9353539884835158, 0.9352585053816137, 0.9352739587060694, 0.9353681425868999, 0.9353916481435594, 0.9353766302999789, 0.9353516638256874, 0.9353191931408813, 0.9353755645352984, 0.9353226987661573, 0.9352585487906588, 0.9352821250601, 0.9352017016830242, 0.9349811466294218, 0.9349352578433284, 0.934909620684735, 0.9347061305048739, 0.9347708041087832, 0.9346794201278619, 0.9347698705226349, 0.9347272417642718, 0.9346446339864576, 0.9346670004627627, 0.9346632733414743, 0.9347177844719574, 0.9346356381051885, 0.9346060594490369, 0.9346405728507583, 0.9345643689123299, 0.9345926718928066, 0.9347850307153861, 0.934660633484163, 0.9346517096488185, 0.9345342723476259, 0.9346555638495783, 0.934575096326989, 0.9344442502282041, 0.9345092960945126, 0.9344894702012535, 0.9344464793671823, 0.9343769260175224, 0.9343751464317511, 0.9342835356912429, 0.9342421215504241, 0.9343755024884207, 0.9346887800586741, 0.934664318178244, 0.9345918491987502, 0.9345644731237083, 0.9345399555413414, 0.9344717967372308, 0.9346643546011687, 0.9345795875617904, 0.9346002621231979, 0.9345642053202613, 0.934428972688699, 0.9344932693918914, 0.934489387296728, 0.934501590349877, 0.9345036406892077, 0.9343598965943577, 0.9342777753203878, 0.9344109831709477, 0.9343960340171698, 0.9343306349424138, 0.9343621856378144, 0.9343905585821696, 0.9340732582570989, 0.9340523719721563, 0.9339950696292426, 0.933982232901006, 0.9341251462658233, 0.9340511605602168, 0.9342060984117865, 0.9341788903913099, 0.9342070072211821, 0.93413817390982, 0.9339793639062416, 0.9340426763229908, 0.93418524530427, 0.9341039934962587, 0.9341051459714538, 0.9340054384715646, 0.934002851497036, 0.9338717903696457, 0.9338440607012035, 0.9339878514506575, 0.9339171540001932, 0.933902949507855, 0.9338471446430752, 0.9339934828154575, 0.9340975663287271, 0.9339961616827723, 0.933950836890967, 0.9339784253197191, 0.9338696933912172, 0.9339664771204859, 0.9340038407984773, 0.9340016637160591, 0.9339742000564214, 0.9340474519403599, 0.9340151326895227, 0.934012482038304, 0.9339640467581101, 0.9338312848440493, 0.9338112007172321, 0.9337835505307672, 0.9337673952397205, 0.9335883517521325, 0.9335895144991022, 0.9335629857126102, 0.933533598902893, 0.9334773689494129, 0.9334795928624184, 0.9335291234090233, 0.933438270035164, 0.9334430763152697, 0.9333620477479695, 0.9332625578721548, 0.9332921692724987, 0.9331547611154576, 0.933184509968065, 0.9330684542306668, 0.9330348210037662, 0.9330360325040986, 0.9329535358225548, 0.9329853993035352, 0.9329839833961655, 0.9329679159989046, 0.9329516036243348, 0.9329562431376784, 0.9330137288738899, 0.9329511600613885, 0.9328702970521029, 0.9329080719621976, 0.9328209223397884, 0.932839861148392, 0.9329561566271102, 0.933003455500728, 0.9330556939688868, 0.9330805999670347, 0.9330900522168075, 0.9330132780121076, 0.9329749103942653, 0.9329064075668911, 0.9328296323597162, 0.9328280754842311, 0.9327359231373273, 0.9327825551973133, 0.9327784416715301, 0.9327045250085789, 0.9326600577889681, 0.93282811366047, 0.9327615604647479, 0.9326290015840455, 0.9326071998614511, 0.9326357831969173, 0.9328541448551402, 0.9327512190075844, 0.932759375868354, 0.9327930486303405, 0.9327652096688097, 0.932708591539968, 0.9326869307249755, 0.9326380618437348, 0.9326776890916002, 0.9325973105518268, 0.9325917134945261, 0.9327293902019932, 0.9326799009815822, 0.9327321635411581, 0.9327585628179739, 0.9327964734355192, 0.9326460778793261, 0.9326236862775333, 0.9325825883806692, 0.932600615753428, 0.9325961235995838, 0.9325389710763625, 0.9324463336050619, 0.9325862898405648, 0.9324565802735431, 0.9323808873453779, 0.9323507716056921, 0.9323913607376556, 0.9324375333964087, 0.9324974708037442, 0.9323734987202205, 0.9323224505691146, 0.9323018938850611, 0.9324120167422048, 0.9324904142340564, 0.932405922055734, 0.9322909152417578, 0.9323509044622796, 0.9322947843090307, 0.9322559198588332, 0.932191931736239, 0.9322034748666697, 0.9321624963557951, 0.9321269246649144, 0.9320124045415976, 0.9320432543977665, 0.9319256208407726, 0.9318458912460376, 0.9318599337428183, 0.9317049769321847, 0.9316942543655681, 0.9315998607213813, 0.9316558383287268, 0.9316419290226491, 0.9316953241128879, 0.9314646407299978, 0.9313886118016756, 0.9314207042187912, 0.9312628797749252, 0.9312417770428035, 0.9312197967005499, 0.9311218769392832, 0.9310928673331278, 0.9311128091863544, 0.9311051478527028, 0.9309857823886427, 0.9309884332281808, 0.9309763866585937, 0.9309435812538553, 0.9309953377368752, 0.9308654523125136, 0.9308945891911098, 0.9307981839640195, 0.930678929783708, 0.930614771375058, 0.9308350571118559, 0.9307203752891783, 0.930831406917932, 0.9308688926131237, 0.930861421609235, 0.9305528518590617, 0.9306744441974814, 0.9310816829800871, 0.9310406835445797, 0.9309595799722746, 0.9308696531997397, 0.930738066652413, 0.9307455803228286, 0.9306944306944307, 0.9306184510627046, 0.9305569360235895, 0.9305403462197888, 0.930394521611356, 0.9305510813903114, 0.930630114429715, 0.9305449498637207, 0.9304554880468623, 0.9304424253620632, 0.9304337587189091, 0.9303616163204781, 0.9303773946144404, 0.9303377256867992, 0.9302760800366373, 0.9301883160266791, 0.9300738959558552, 0.9299372835771673, 0.9298203606469525, 0.9298161470823342, 0.9298172377510407, 0.9297068538398018, 0.9296437103739777, 0.9297354509528712, 0.9297364251764367, 0.9295632226414658, 0.9294928954408069, 0.9294106043640457, 0.9294214722357809, 0.9293105757528112, 0.9293195091924313, 0.9292814192801921, 0.9291286015460295, 0.9290315389308678, 0.9289554869986778, 0.9289270790418457, 0.9288720439487893, 0.928854805001594, 0.9287597852564861, 0.9285870924533111, 0.9284929733837595, 0.928505587173586, 0.9284249800336151, 0.9283572819244873, 0.9282697140122054, 0.9281318602224061, 0.9281009219525681, 0.9282110561234933, 0.928197984695262, 0.928166682775952, 0.9282237264328009, 0.9281055665099348, 0.9282506032297865, 0.928379201169021, 0.9282678034530496, 0.9282649880828698, 0.9282404431793836, 0.9282436660327588, 0.9281271129141312, 0.9280716450269777, 0.9280317993284614, 0.9280816624314482, 0.9279937579728273, 0.9279573760730412, 0.9279377228842307, 0.9279588763177875, 0.9278470676963543, 0.9279028964966065, 0.9278889771810065, 0.9278520440458508, 0.9276501866727005, 0.9276944580862075, 0.9276682160178101, 0.9274539945217265, 0.9273747622067217, 0.9274120227612296, 0.9272618280838473, 0.9271986543614933, 0.9271894419885963, 0.9272754112459646, 0.9272236330322414, 0.9271695512428262, 0.9270884409920256, 0.926969559878498, 0.9270193976122031, 0.926972741246133, 0.9269912223139046, 0.9268681583297539, 0.9269725560257421, 0.9269017497338498, 0.9268433104350671, 0.9267317648600826, 0.9268585761750299, 0.9267339500243431, 0.9266916673806589, 0.926906261969859, 0.9268226530922754, 0.9268355722266772, 0.9268007700989179, 0.9267468693680213, 0.9267844174534116, 0.9266684463427656, 0.9266124392952225, 0.9265646153639934, 0.92657150147045, 0.9266043320328265, 0.926562889753322, 0.9265485590009254, 0.9263710223425863, 0.9262822035911884, 0.9262203664159515, 0.9261257578854145, 0.9260444674955983, 0.9259945444477108, 0.9259629677834786, 0.9258832249032364, 0.9259086096175795, 0.9259011786100529, 0.9258505279138776, 0.9257868939723887, 0.9257268710262768, 0.9255963742113702, 0.9255039439088519, 0.9255026307536848, 0.9254550405295017, 0.9252263798138538, 0.9252775165948609, 0.9254157437682382, 0.9254348576541288, 0.925336476367255, 0.9251981587674206, 0.9252693999872473, 0.9253664532723229, 0.9251420383663984, 0.925048563103468, 0.9249933815585177, 0.924753257007501, 0.9246966940187413, 0.9247076286758082, 0.9245778991001921, 0.9244768300095516, 0.9243399591144361, 0.924336299255493, 0.9241973797344759, 0.9241913918945577, 0.9242155814872839, 0.9241797264776662, 0.9242164697579015, 0.9242597272466053, 0.9241682721763329, 0.924056063015421, 0.9240597324637788, 0.9239479917725419, 0.9238758444186531, 0.9239411628756533, 0.924053375571561, 0.9239753806478698, 0.9242832988916024, 0.9241823662396382, 0.9246401994484947, 0.9249252205520427, 0.924755512361052, 0.9246675951929736, 0.9246621312425638, 0.9247519757861107, 0.924756054594752, 0.9246477576204071, 0.9246198690980688, 0.9246385300736812, 0.9244903951659017, 0.9244862244660916, 0.9244085445812674, 0.9243570700904418, 0.9244191936904289, 0.9243805105857914, 0.9241961263632945, 0.9242003109247656, 0.9243281526657485, 0.9243302497614372, 0.9241648089297855, 0.924267275190758, 0.9240946632782719, 0.9241698239358146, 0.9241759469032196, 0.9243575186707393, 0.9242690128769121, 0.9241743852574247, 0.9240222923780684, 0.9240560479119247, 0.9239597581604655, 0.9238405761837559, 0.9238099109719907, 0.9238630806845965, 0.9239365743274706, 0.9242727034464684, 0.9241078027229878, 0.9239948610676462, 0.9240056524721302, 0.9238356527721369, 0.9237132429354107, 0.9239013576244489, 0.9236455467567545, 0.9239882284880649, 0.9247531580629426, 0.9246264191017202, 0.9244089694591944, 0.9245628459302079, 0.9245007223591399, 0.9242970070512712, 0.9241207967444849, 0.9241562902533276, 0.9239356066805055, 0.92407129164292, 0.9239212356951652, 0.9239947126756644, 0.9239868411842934, 0.9240072265487967, 0.9240182503890075, 0.9238922614694661, 0.9237051440692947, 0.9235644512205932, 0.9237154079945968, 0.9236917374297196, 0.9238175267961704, 0.924325293642966, 0.9246115946198662, 0.9246585838554108, 0.9246282485875706, 0.9255848974445039, 0.9258710088237969, 0.9271560068670782, 0.9271615336726846, 0.9269472309828333, 0.9270667195235505, 0.9272844927201295, 0.9272112310614836, 0.9276514623145953, 0.9280005222760043, 0.9278308105126359, 0.9278537015166001, 0.927753974517984, 0.9277786153092376, 0.9277078823740701, 0.927616430568058, 0.9275048444089821, 0.9274790612583255, 0.9274476275995147, 0.9272819560033327, 0.9272060447209501, 0.9271015803961578, 0.9273436594692727, 0.9273915569326103, 0.9275761959782893, 0.927987066110873, 0.9278000195293429, 0.9282724822347463, 0.928508931468064, 0.9285897360067822, 0.9286427392331491, 0.9286592134475103, 0.9289072673233865, 0.9287373974091766, 0.9285971366871951, 0.928675341874768, 0.9289157232704403, 0.9291308384804812, 0.9287869398701708, 0.9286041936371698, 0.9288204561952377, 0.9289894654701522, 0.9288745159429843, 0.9289875431239284, 0.9289679744790156, 0.9289157127126919, 0.9290939023881966, 0.928919263485694, 0.928830547925098, 0.9287418917356154, 0.9285465723233963, 0.9284173574691253, 0.9284714416000339, 0.9284741868924294, 0.928297942685281, 0.9282052379780164, 0.928490132497262, 0.9284183777847168, 0.9285158865585244, 0.928429014151659, 0.9286389773579573, 0.9285963458771203, 0.9289800382827454, 0.9291098407961291, 0.9291924233909623, 0.9294289314850435, 0.9295948013928009, 0.9293526686269269, 0.9298928048466965, 0.9298568209084079, 0.9297331953567893, 0.9296001986590514, 0.929628497344792, 0.9293981218308738, 0.9293281786353735, 0.9291800578728855, 0.9290376607435789, 0.9288664419415331, 0.9288228302387574, 0.9289931922382253, 0.9288733539261909, 0.9288077156035969, 0.9286365336075535, 0.9285479863097191, 0.9285789875948027, 0.9287517697026899, 0.9287176756021066, 0.928592627767555, 0.9284140838026743, 0.9283564261825131, 0.9282726717081531, 0.9283352371791018, 0.9282879579257186, 0.9282956759569653, 0.9282470922468009, 0.9281877641499092, 0.9279243989619547, 0.9277566072526122, 0.9276949449356864, 0.927931384440209, 0.9277307377150945, 0.9277306733167082, 0.9279525192827808, 0.9275948537657984, 0.9273471767957202, 0.9272114467408585, 0.9270790764201062, 0.9268552506609852, 0.927098228663446, 0.9269182503848791, 0.9267247536066276, 0.9266802178615172, 0.926452709327407, 0.9266247654538059, 0.9272173592069184, 0.927262859714611, 0.9283242379874883, 0.9282680131441853, 0.9283999946367038, 0.9283724685460539, 0.9285077529850343, 0.9285898287620158, 0.9283955320335777, 0.9283645702420633, 0.9284343032663248, 0.9283679451715453, 0.9283780423792027, 0.9282573414157107, 0.928250184491569, 0.9283248305262423, 0.9281075090830025, 0.9280223029483822, 0.9283441966999872, 0.9282622578585114, 0.928126824960474, 0.9279329529039917, 0.9276398942893255, 0.9275899358373585, 0.9277162504524068, 0.9276474521089503, 0.9275449014429741, 0.9284080579421166, 0.9288123113172815, 0.9290309223466083, 0.9288450118764846, 0.9292224161334109, 0.9292089735525804, 0.9292513119708885, 0.9293490570311203, 0.9288543594292443, 0.9289905382157778, 0.9289041053638074, 0.9287594450637929, 0.9288636540406005, 0.9286350217890446, 0.9282938724140644, 0.9286052980969842, 0.9283662620011108, 0.9281514412734835, 0.9280879458499351, 0.927961124430785, 0.9278883558091287, 0.9284015378600287, 0.9282201750647477, 0.9283067955409923, 0.9286068828590337, 0.9283886618150401, 0.9281673925013766, 0.9279597821533305, 0.9276056243045486, 0.9274066548133096, 0.9271938775510205, 0.927010915053892, 0.9268409855191819, 0.9269811158058119, 0.9267451931404815, 0.9265678290526902, 0.9264425682171762, 0.9261281826163301, 0.9258148723013969, 0.9257966185800872, 0.9257643476557631, 0.9256065268732556, 0.925639596555258, 0.9255392174572781, 0.9255695742942724, 0.9257029211597059, 0.92566650775606, 0.9254776248641279, 0.9255082768581269, 0.9252637258367598, 0.9252492005012063, 0.9255589192035049, 0.9260590015128594, 0.9263604213408374, 0.9270905056996405, 0.9271650515305337, 0.9277269297006521, 0.9275170656761119, 0.9274370208105148, 0.9274065039050973, 0.9272845927185714, 0.9269785745518146, 0.9272730908436482, 0.9269758931982226, 0.9270580624292415, 0.92680299211318, 0.9267579123959164, 0.9265743617174481, 0.9268055325492794, 0.9273725522942675, 0.9273597581457843, 0.9278139259760013, 0.9277761251115549, 0.927946991557123, 0.9281398499150666, 0.9285343147867504, 0.9282581658702624, 0.927997188419804, 0.9279874491780096, 0.9281122800774039, 0.9281670284422763, 0.9278890670521015, 0.9279383692391601, 0.928189055636896, 0.9281731035118445, 0.9287272052340959, 0.9288749824872741, 0.9292010436499542, 0.929993607803215, 0.9302203567681008, 0.9349110998528383, 0.934926184926185, 0.9351881280101704, 0.9356641634863967, 0.9357773150902241, 0.93603214615519, 0.93600824079192, 0.9363102470635885, 0.9365079365079365, 0.9373055262684188, 0.9387448132780083, 0.938699220996497, 0.9389399404934305, 0.9388572186132839, 0.9388545925866538, 0.9388957984102093, 0.9390390063194596, 0.9391569240902354, 0.9398533683773689, 0.9402136025208444, 0.9400938492230746, 0.9406364228840214, 0.9413966512372135, 0.9435018467220684, 0.9436328716098242, 0.9452163440354845, 0.9467591214808643, 0.9486038892729404, 0.9487584238965454, 0.9496171516079632, 0.9506367457962414, 0.9506142046517428, 0.9509717592301402, 0.9520942825290651, 0.9520092512286789, 0.951838056680162, 0.9516677567037279, 0.9521185322069694, 0.9522905846317752, 0.9535243475921442, 0.9541997691315272, 0.954241645244216, 0.9542090336861037, 0.9553777342931022, 0.9564357833792275, 0.956907929939714, 0.9569257365122812, 0.9579115997961115, 0.9593947872183772, 0.9594850998921091, 0.9605099853322803, 0.9607537707533909, 0.9607353957165886, 0.9608871280975686, 0.9604870384917518, 0.9605524247956188, 0.9604218461785228, 0.9610252666585554, 0.960185799601858, 0.9601727246048715, 0.9597847275192813, 0.9594791398954853, 0.9590422998657835, 0.9588879159369527, 0.958423828730996, 0.9583856502242153, 0.9581745599709671, 0.9578609134725729, 0.9579613095238095, 0.9580584354382657, 0.9579434790910827, 0.9580835428350416, 0.9579478141675234, 0.9577541699761716, 0.9577068141815439, 0.9573076526933773, 0.9581633720322142, 0.9582670484674939, 0.9580532401183114, 0.9586334861383977, 0.9581696453272838, 0.9580690429413415, 0.9575291773413037, 0.9570289938777867, 0.9566236811254396, 0.9563768374694995, 0.9561827632056086, 0.956041257367387, 0.9573147799924784, 0.9570235286616081, 0.957136372479087, 0.9573738040250742, 0.9570412135857163, 0.9570950331352053, 0.9572173913043478, 0.9578074032052191, 0.9581556695815567, 0.9588707894154935, 0.9587466185752931, 0.9580939247682525, 0.9584017515051998, 0.9590288315629742, 0.9584150326797386, 0.9594718810061001, 0.9601675356868108, 0.9608923884514435, 0.9607053347654851, 0.9612175667002842, 0.9610328638497653, 0.9616681113358374, 0.9619452406839972, 0.961569661326303, 0.9624569819584942, 0.9620497427101201, 0.9624765478424016, 0.9628240109140518, 0.9636576787807737, 0.9631375392796713, 0.9625888514777403, 0.9631253223310985, 0.9630568151507068, 0.9635107118175535, 0.964004015488312, 0.9630622579684242, 0.9619018119869909, 0.9623829512431386, 0.9611176569601078, 0.961443661971831, 0.9628671716238685, 0.9633152173913043, 0.9624183006535948, 0.961853448275862, 0.9601185050136737, 0.9588477366255144, 0.9586776859504132, 0.9579529737206086, 0.9654447115384616, 0.9660906423214868, 0.9692527708258849, 0.9677546205269367, 0.9672059466550066, 0.9650418513047759, 0.964712578258395, 0.9600532623169108, 0.952, 0.9446122860020141, 0.9438202247191011, 0.9633867276887872, 0.9717514124293786]}, {\\\"line\\\": {\\\"color\\\": \\\"rgba(150, 0, 0, 1)\\\", \\\"width\\\": 1}, \\\"name\\\": \\\"CNN\\\", \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.9179492347319244, 0.9178448341885579, 0.9177428521905975, 0.9176420794653403, 0.917540903649182, 0.9174405340148257, 0.9173385520168653, 0.9172381823825091, 0.9171349911118456, 0.9170346214774894, 0.9169342518431332, 0.9168294482088656, 0.9167274662109052, 0.916626290394747, 0.9165255176694896, 0.9164251480351334, 0.9163243753098761, 0.9162236025846189, 0.9161228298593616, 0.9160220571341043, 0.915920478227045, 0.9158201085926887, 0.9157197389583325, 0.9156193693239763, 0.91551899968962, 0.9154186300552638, 0.9153146326027982, 0.915214262968442, 0.9151138933340858, 0.9150135236997295, 0.9149131540653733, 0.9148099627947098, 0.9147063684331453, 0.9146055957078881, 0.9145052260735318, 0.9144048564391756, 0.9143016651685122, 0.9142008924432549, 0.9140993135361956, 0.9139989439018393, 0.9138953495402748, 0.9137945768150175, 0.9136942071806613, 0.9135938375463051, 0.9134930648210478, 0.9133910828230875, 0.9132895039160281, 0.9131887311907708, 0.9130883615564146, 0.9129879919220584, 0.9128864130149991, 0.9127844310170387, 0.9126832552008803, 0.9125828855665241, 0.9124780819322565, 0.9123777122979003, 0.912276536481742, 0.9121729421201775, 0.9120725724858213, 0.911971396669663, 0.9118710270353068, 0.9117702543100494, 0.9116698846756932, 0.911569515041337, 0.9114691454069808, 0.9113683726817234, 0.9112675999564662, 0.9111672303221099, 0.9110656514150506, 0.9109652817806944, 0.9108632997827341, 0.9107629301483777, 0.9106625605140215, 0.9105613846978632, 0.9104598057908039, 0.9103582268837446, 0.9102578572493883, 0.910157487615032, 0.9100571179806758, 0.9099567483463196, 0.9098563787119633, 0.9097560090776071, 0.9096556394432509, 0.9095552698088946, 0.9094549001745383, 0.9093541274492811, 0.9092537578149248, 0.9091533881805686, 0.9090530185462123, 0.9089526489118561, 0.9088522792774999, 0.9087519096431437, 0.9086511369178863, 0.9085507672835301, 0.9084503976491739, 0.9083500280148176, 0.9082488521986594, 0.908148079473402, 0.9080477098390458, 0.9079469371137885, 0.9078356840251045, 0.907731686572639, 0.9076305107564807, 0.9075281256676193, 0.9074257405787579, 0.9073249678535007, 0.9072241951282434, 0.9071206007666789, 0.9070202311323227, 0.9069186522252634, 0.906817879500006, 0.9067175098656498, 0.9066171402312936, 0.9065159644151353, 0.906415594780779, 0.9063124035101155, 0.9062112276939572, 0.9061104549687, 0.9060100853343438, 0.9059093126090865, 0.9058073306111261, 0.9057053486131658, 0.9056049789788095, 0.9055046093444533, 0.905404239710097, 0.9053030638939388, 0.9052006788050774, 0.905100309170721, 0.9049999395363648, 0.9048987637202065, 0.9047979909949493, 0.9046952028151869, 0.9045920115445234, 0.9044912388192662, 0.9043904660940089, 0.9042900964596526, 0.9041897268252964, 0.904087744827336, 0.9039841504657715, 0.9038829746496132, 0.9037809926516529, 0.9036794137445936, 0.9035790441102373, 0.90347827138498, 0.9033779017506238, 0.9032775321162675, 0.9031751470274062, 0.9030747773930499, 0.9029740046677927, 0.9028728288516343, 0.902771653035476, 0.9026704772193177, 0.9025701075849615, 0.9024697379506053, 0.902368159043546, 0.9022677894091896, 0.9021670166839324, 0.9020662439586751, 0.9019658743243189, 0.9018626830536555, 0.9017623134192991, 0.9016611376031409, 0.9015607679687846, 0.9014591890617253, 0.9013584163364681, 0.9012580467021118, 0.9011576770677555, 0.9010573074333993, 0.9009565347081421, 0.9008557619828848, 0.9007541830758254, 0.9006538134414692, 0.900553443807113, 0.9004526710818557, 0.9003514952656974, 0.9002289556317845, 0.9001281829065273, 0.9000237823631607, 0.8999234127288045, 0.8998230430944483, 0.89972186727829, 0.8996210945530326, 0.899515081646062, 0.8994135027390027, 0.8993131331046464, 0.8992127634702902, 0.8991123938359339, 0.8990116211106767, 0.8989100422036174, 0.898807254023855, 0.8987068843894986, 0.8986065147551424, 0.8985053389389841, 0.8984021476683207, 0.8983001656703603, 0.8981981836724, 0.8980925738563303, 0.897990994949271, 0.8978906253149148, 0.8977902556805585, 0.8976878705916971, 0.8975870978664399, 0.8974859220502815, 0.8973851493250243, 0.897283973508866, 0.8971823946018066, 0.8970816218765494, 0.8969772213331828, 0.8968768516988266, 0.896771241882757, 0.8966700660665987, 0.8965672778868362, 0.89646690825248, 0.8963665386181238, 0.8962661689837675, 0.8961657993494113, 0.8960638173514509, 0.8959634477170947, 0.8958630780827385, 0.8957627084483822, 0.8956575017232136, 0.8955559228161543, 0.895455553181798, 0.8953551835474418, 0.8952548139130856, 0.8951540411878283, 0.89505286537167, 0.8949524957373137, 0.8948521261029575, 0.8947509502867992, 0.894650580652443, 0.8945502110180867, 0.8944482290201263, 0.8943478593857701, 0.8942474897514139, 0.8941471201170575, 0.8940463473918003, 0.8939431561211368, 0.8938427864867806, 0.8937424168524244, 0.893640031763563, 0.8935396621292068, 0.8934388894039494, 0.8933381166786922, 0.8932373439534349, 0.8931365712281777, 0.8930362015938215, 0.8929358319594651, 0.8928354623251089, 0.8927350926907527, 0.8926347230563965, 0.8925343534220402, 0.8924295497877727, 0.8923291801534164, 0.8922284074281591, 0.8921280377938029, 0.8920276681594467, 0.8919252830705853, 0.891824510345328, 0.8917221252564665, 0.8916217556221103, 0.8915213859877541, 0.8914210163533979, 0.8913206467190417, 0.8912202770846853, 0.8911191012685271, 0.8910187316341708, 0.8909179589089136, 0.8908175892745573, 0.890716413458399, 0.8906160438240428, 0.8905156741896865, 0.8904153045553302, 0.8903129194664688, 0.8902121467412116, 0.8901117771068554, 0.890009795108895, 0.8899074100200336, 0.8898062342038753, 0.8897058645695191, 0.8896054949351628, 0.8895051253008066, 0.8894047556664504, 0.8893039829411931, 0.8892036133068368, 0.8891032436724806, 0.8890008585836192, 0.8889000858583619, 0.8887997162240057, 0.8886989434987485, 0.8885985738643921, 0.8884978011391349, 0.8883974315047787, 0.8882966587795214, 0.8881962891451651, 0.8880955164199078, 0.8879951467855516, 0.8878947771511954, 0.8877944075168391, 0.8876940378824829, 0.8875928620663246, 0.8874920893410673, 0.88739131661581, 0.8872909469814538, 0.8871905773470975, 0.8870889984400382, 0.8869878226238799, 0.8868850344441175, 0.8867846648097613, 0.8866826828118008, 0.8865823131774446, 0.8864811373612863, 0.8863807677269301, 0.8862783826380687, 0.8861780130037125, 0.8860776433693562, 0.885977273735, 0.8858769041006438, 0.8857765344662875, 0.8856749555592281, 0.8855745859248719, 0.8854742162905157, 0.8853718312016543, 0.885270252294595, 0.8851694795693377, 0.8850691099349814, 0.88496672484612, 0.8848663552117638, 0.8847651793956055, 0.8846648097612493, 0.8845628277632889, 0.8844624581289326, 0.8843616854036754, 0.8842609126784181, 0.8841601399531608, 0.8840597703188046, 0.8839594006844483, 0.88385822486829, 0.8837554366885276, 0.8836502299633591, 0.8835498603290028, 0.8834482814219434, 0.883345896333082, 0.8832447205169238, 0.8831443508825675, 0.8830431750664093, 0.8829359528867355, 0.8828351801614782, 0.8827344074362209, 0.8826340378018647, 0.8825332650766075, 0.8824320892604491, 0.8823313165351918, 0.8822305438099346, 0.8821293679937763, 0.8820221458141025, 0.8819213730888452, 0.8818185849090828, 0.8817182152747266, 0.8816174425494693, 0.8815162667333111, 0.8814158970989547, 0.8813155274645985, 0.8812139485575392, 0.881113578923183, 0.8810120000161237, 0.8809084056545592, 0.8808072298384009, 0.8807040385677374, 0.8806028627515791, 0.8805024931172228, 0.8804021234828666, 0.8803009476667083, 0.8802005780323521, 0.8801002083979959, 0.8799994356727385, 0.8798990660383823, 0.879797890222224, 0.8796967144060657, 0.8795931200445012, 0.8794899287738378, 0.8793883498667785, 0.879284755505214, 0.8791843858708578, 0.8790836131456005, 0.8789832435112442, 0.878882873876888, 0.8787804887880266, 0.8786801191536704, 0.87857813715571, 0.8784777675213538, 0.8783773978869975, 0.8782770282526412, 0.878176658618285, 0.8780762889839288, 0.8779747100768694, 0.8778739373516121, 0.8777735677172559, 0.8776727949919987, 0.8775724253576423, 0.8774720557232861, 0.8773716860889299, 0.8772713164545737, 0.8771709468202175, 0.8770705771858612, 0.8769698044606039, 0.8768690317353467, 0.8767686621009904, 0.8766682924666341, 0.8765667135595748, 0.8764651346525155, 0.8763643619272582, 0.8762579459293866, 0.8761563670223272, 0.8760559973879709, 0.8759556277536147, 0.8758552581192585, 0.8757540823031001, 0.8756500848506347, 0.8755497152162784, 0.875447330127417, 0.8753465574021597, 0.8752457846769025, 0.8751454150425463, 0.87504504540819, 0.8749442726829327, 0.8748430968667744, 0.874740711777913, 0.8746399390526558, 0.8745387632364975, 0.8744383936021413, 0.8743380239677849, 0.8742376543334287, 0.8741368816081715, 0.8740353027011122, 0.8739349330667558, 0.8738341603414986, 0.8737337907071424, 0.8736330179818851, 0.8735318421657268, 0.8734314725313705, 0.873328281260707, 0.8732275085354498, 0.8731271389010936, 0.8730263661758363, 0.8729255934505791, 0.8728252238162229, 0.8727236449091634, 0.8726228721839062, 0.87252250254955, 0.8724213267333917, 0.8723209570990355, 0.872217362737471, 0.8721165900122136, 0.8720158172869564, 0.871913835288996, 0.8718130625637387, 0.8717126929293825, 0.8716123232950262, 0.871511550569769, 0.8714107778445117, 0.8713104082101555, 0.8712088293030962, 0.8711076534869379, 0.8710072838525816, 0.8709069142182253, 0.8708061414929681, 0.8707057718586119, 0.8706054022242556, 0.8705050325898993, 0.8704042598646421, 0.8703034871393848, 0.8702031175050285, 0.8701027478706723, 0.870001572054514, 0.8698971715111474, 0.8697968018767912, 0.869696432242435, 0.8695956595171778, 0.8694940806101183, 0.86939290479396, 0.8692921320687028, 0.8691905531616435, 0.8690901835272873, 0.868989813892931, 0.8688866226222676, 0.8687862529879113, 0.868685883353555, 0.8685851106282978, 0.8684799039031292, 0.8683791311778719, 0.8682787615435157, 0.8681771826364564, 0.8680768130021002, 0.8679764433677438, 0.8678760737333876, 0.8677757040990314, 0.8676753344646752, 0.8675745617394178, 0.8674741921050616, 0.8673738224707054, 0.867271034290943, 0.8671706646565867, 0.8670702950222304, 0.8669699253878742, 0.8668683464808149, 0.8667663644828545, 0.8666655917575973, 0.866565222123241, 0.8664648524888847, 0.8663644828545285, 0.8662641132201723, 0.8661633404949151, 0.8660621646787567, 0.8659617950444005, 0.8658614254100442, 0.865761055775688, 0.8656606861413317, 0.8655603165069755, 0.8654555128727079, 0.8653547401474506, 0.8652539674221934, 0.8651535977878372, 0.8650528250625799, 0.8649520523373226, 0.8648516827029663, 0.864750103795907, 0.8646497341615508, 0.8645493645271946, 0.8644489948928383, 0.864348625258482, 0.8642482556241258, 0.8641462736261655, 0.8640459039918091, 0.8639455343574529, 0.8638399245413834, 0.863737539452522, 0.8636367667272646, 0.8635327692747992, 0.8634323996404429, 0.8633320300060867, 0.8632312572808294, 0.8631292752828691, 0.8630289056485128, 0.8629277298323544, 0.8628269571070972, 0.8627257812909389, 0.8626250085656817, 0.8625242358404244, 0.8624238662060681, 0.8623234965717119, 0.8622227238464546, 0.8621203387575932, 0.862019566032336, 0.8619191963979798, 0.8618188267636234, 0.8617184571292672, 0.8616156689495048, 0.8615148962242475, 0.8614117049535841, 0.8613105291374258, 0.8612101595030696, 0.8611097898687133, 0.861009420234357, 0.8609090506000008, 0.8608086809656446, 0.8607079082403873, 0.8606055231515259, 0.8605051535171696, 0.8604047838828134, 0.8602967555213377, 0.8601963858869813, 0.8600960162526251, 0.8599948404364668, 0.8598900368021992, 0.8597872486224368, 0.8596848635335754, 0.8595844938992192, 0.859483721173962, 0.8593833515396057, 0.8592821757234475, 0.859180596816388, 0.8590802271820318, 0.8589798575476756, 0.8588790848224183, 0.858778715188062, 0.8586783455537058, 0.8585779759193496, 0.8584763970122903, 0.8583736088325278, 0.8582720299254685, 0.8581696448366071, 0.8580692752022508, 0.8579664870224885, 0.8578653112063301, 0.8577645384810728, 0.8576633626649146, 0.8575625899396573, 0.8574602048507959, 0.8573598352164397, 0.8572586594002813, 0.857157483584123, 0.8570555015861627, 0.8569478763155879, 0.8568475066812317, 0.8567467339559744, 0.8566463643216181, 0.8565455915963609, 0.8564424003256974, 0.8563420306913412, 0.856241257966084, 0.8561396790590245, 0.8560393094246683, 0.8559365212449059, 0.8558361516105497, 0.8557353788852924, 0.8556333968873321, 0.8555330272529759, 0.8554322545277185, 0.8553318848933623, 0.8552286936226988, 0.8551283239883426, 0.8550279543539864, 0.854927181628729, 0.8548268119943728, 0.8547207990874022, 0.854620429453046, 0.8545200598186897, 0.8544196901843335, 0.8543193205499773, 0.854218950915621, 0.8541185812812647, 0.8540182116469085, 0.8539158265580471, 0.8538154569236909, 0.8537150872893347, 0.8536135083822752, 0.853513138747919, 0.8534107536590576, 0.8533095778428994, 0.8532088051176421, 0.8531064200287807, 0.8530060503944245, 0.8529032622146621, 0.8528024894894047, 0.8526964765824341, 0.8525957038571769, 0.8524953342228205, 0.8523949645884643, 0.8522945949541081, 0.8521942253197519, 0.8520938556853956, 0.8519934860510394, 0.8518931164166831, 0.8517927467823269, 0.8516923771479706, 0.8515907982409113, 0.8514904286065551, 0.8513888496994957, 0.8512884800651395, 0.8511881104307832, 0.8510816944329116, 0.8509813247985554, 0.850879745891496, 0.8507793762571397, 0.850671750986565, 0.8505713813522088, 0.8504710117178524, 0.8503694328107931, 0.8502686600855359, 0.8501682904511797, 0.8500667115441203, 0.84996472954616, 0.8498631506391007, 0.8497627810047443, 0.8496624113703881, 0.8495620417360319, 0.8494616721016757, 0.8493613024673194, 0.8492605297420621, 0.8491589508350028, 0.8490585812006466, 0.8489582115662904, 0.8488526017502207, 0.8487514259340624, 0.8486510562997062, 0.8485502835744488, 0.8484487046673895, 0.8483483350330333, 0.848246756125974, 0.8481463864916178, 0.8480456137663605, 0.8479444379502021, 0.8478440683158459, 0.8477436986814897, 0.8476433290471335, 0.8475429594127771, 0.8474425897784209, 0.8473410108713616, 0.8472398350552033, 0.8471390623299461, 0.8470386926955897, 0.8469383230612335, 0.8468375503359763, 0.846736777610719, 0.8466360048854618, 0.8465328136147983, 0.8464304285259369, 0.8463300588915806, 0.8462288830754223, 0.8461281103501651, 0.8460273376249078, 0.8459269679905516, 0.8458265983561953, 0.845725825630938, 0.8456254559965818, 0.8455250863622256, 0.8454235074551663, 0.8453223316390079, 0.8452207527319486, 0.8451191738248892, 0.8450179980087309, 0.8449164191016716, 0.8448156463764144, 0.8447152767420582, 0.8446141009258998, 0.8445137312915435, 0.8444129585662863, 0.8443089611138208, 0.8442081883885635, 0.8441074156633063, 0.8440070460289499, 0.8439062733036927, 0.8438050974875344, 0.8437047278531782, 0.8436039551279209, 0.8435035854935646, 0.8433999911320001, 0.8432976060431387, 0.8431972364087825, 0.8430940451381191, 0.8429928693219608, 0.8428924996876046, 0.8427921300532483, 0.842691760418892, 0.8425913907845358, 0.8424894087865754, 0.8423878298795161, 0.8422870571542589, 0.8421858813381006, 0.8420855117037443, 0.841985142069388, 0.8418847724350318, 0.8417844028006756, 0.8416828238936163, 0.8415816480774579, 0.8414800691703986, 0.8413796995360424, 0.8412789268107851, 0.8411785571764289, 0.8410781875420726, 0.8409778179077164, 0.840875835909756, 0.8407738539117956, 0.8406734842774394, 0.8405731146430832, 0.8404727450087269, 0.8403723753743707, 0.8402639439219939, 0.8401635742876377, 0.8400628015623803, 0.839962028837123, 0.8398616592027668, 0.8397612895684106, 0.8396609199340543, 0.839558131754292, 0.8394573590290346, 0.8393569893946784, 0.8392566197603222, 0.8391554439441639, 0.8390550743098076, 0.8389434181302226, 0.8388402268595591, 0.8387394541343018, 0.8386386814090445, 0.8385383117746883, 0.8384375390494311, 0.8383367663241738, 0.8382363966898175, 0.8381360270554613, 0.8380356574211051, 0.8379348846958478, 0.8378345150614915, 0.8377341454271353, 0.837632969610977, 0.8375321968857197, 0.8374314241604625, 0.8373290390716011, 0.8372286694372448, 0.8371262843483834, 0.8370259147140272, 0.8369255450796709, 0.8368247723544137, 0.8367244027200574, 0.8366236299948001, 0.8365232603604439, 0.8364228907260877, 0.8363225210917314, 0.836220942184672, 0.8361153323686025, 0.8360149627342462, 0.8359145930998899, 0.8358142234655337, 0.8357138538311775, 0.8356130811059201, 0.8355127114715639, 0.8354123418372077, 0.8353115691119505, 0.8352111994775941, 0.8351104267523369, 0.8350096540270796, 0.8349084782109213, 0.8348081085765651, 0.8347069327604068, 0.8346057569442485, 0.8345049842189912, 0.834404614584635, 0.8343026325866746, 0.8342022629523184, 0.8341018933179621, 0.8340015236836059, 0.8339011540492497, 0.8338003813239924, 0.8337000116896361, 0.8335984327825768, 0.8334980631482205, 0.8333976935138643, 0.8332969207886071, 0.8331965511542508, 0.8330961815198945, 0.8329958118855383, 0.8328954422511821, 0.8327950726168258, 0.8326934937097665, 0.8325931240754102, 0.832492351350153, 0.8323915786248957, 0.8322912089905394, 0.8321904362652822, 0.8320896635400249, 0.8319884877238666, 0.8318877149986094, 0.831786539182451, 0.8316853633662927, 0.8315849937319365, 0.8314846240975803, 0.831384254463224, 0.8312838848288677, 0.8311819028309074, 0.8310811301056501, 0.8309799542894918, 0.8308787784733335, 0.8307776026571753, 0.8306768299319179, 0.8305764602975617, 0.8304760906632055, 0.8303753179379482, 0.8302588246675507, 0.8301584550331945, 0.8300572792170362, 0.82995690958268, 0.8298565399483238, 0.8297400466779263, 0.8296392739526691, 0.8295316486820943, 0.829430069775035, 0.8293297001406787, 0.8292281212336194, 0.8291213021448467, 0.8290209325104905, 0.8289205628761342, 0.8288201932417779, 0.8287194205165207, 0.8286190508821645, 0.8285186812478081, 0.8284183116134519, 0.8283171357972936, 0.8282167661629374, 0.8281163965285812, 0.8280160268942249, 0.8279140448962645, 0.8278136752619083, 0.82771249944575, 0.8276113236295917, 0.8275109539952354, 0.827408165815473, 0.8273077961811168, 0.8272070234558595, 0.8271066538215033, 0.8270062841871471, 0.8269059145527908, 0.8268051418275335, 0.8267043691022763, 0.826603596377019, 0.8265032267426627, 0.8264028571083065, 0.8263016812921482, 0.8262005054759899, 0.8260940894781182, 0.8259925105710588, 0.8258905285730985, 0.8257901589387423, 0.825689386213485, 0.8255886134882278, 0.8254882438538715, 0.8253878742195152, 0.8252866984033569, 0.8251863287690007, 0.8250859591346444, 0.82498236477308, 0.8248815920478227, 0.8247808193225654, 0.8246804496882092, 0.8245764522357437, 0.8244752764195854, 0.8243741006034271, 0.8242737309690709, 0.8241733613347146, 0.8240729917003583, 0.8239718158842001, 0.8238714462498438, 0.8237710766154875, 0.8236703038902303, 0.823569531164973, 0.8234691615306168, 0.8233683888053595, 0.8232676160801022, 0.823167246445746, 0.8230668768113898, 0.8229612669953201, 0.8228600911791618, 0.8227597215448056, 0.8226593519104494, 0.822557369912489, 0.8224561940963306, 0.8223542120983703, 0.822253842464014, 0.8221530697387568, 0.8220506846498954, 0.8219499119246382, 0.8218495422902818, 0.8217487695650246, 0.8216475937488663, 0.821546417932708, 0.8214456452074508, 0.8213432601185894, 0.8212420843024311, 0.8211417146680748, 0.8210413450337185, 0.8209405723084613, 0.8208402026741051, 0.8207398330397488, 0.8206394634053925, 0.8205390937710363, 0.8204330808640656, 0.8203327112297094, 0.8202323415953532, 0.820131971960997, 0.8200316023266406, 0.8199312326922844, 0.8198308630579282, 0.8197292841508689, 0.8196289145165127, 0.8195281417912553, 0.8194277721568991, 0.8193274025225429, 0.8192270328881867, 0.8191254539811272, 0.8190210534377608, 0.8189190714398004, 0.818817492532741, 0.8187163167165827, 0.8186159470822265, 0.8185143681751672, 0.8184111769045037, 0.8183108072701475, 0.8182104376357913, 0.818110068001435, 0.8180088921852767, 0.8179065070964153, 0.8178041220075539, 0.8177037523731977, 0.8176033827388415, 0.8175030131044851, 0.8174026434701289, 0.8173002583812675, 0.8171998887469113, 0.8170995191125551, 0.8169991494781988, 0.8168983767529415, 0.8167980071185853, 0.8166976374842291, 0.8165968647589718, 0.8164964951246155, 0.8163957223993583, 0.816294949674101, 0.8161929676761407, 0.8160925980417844, 0.8159914222256262, 0.8158910525912698, 0.8157906829569136, 0.8156878947771512, 0.815587525142795, 0.8154867524175377, 0.8153859796922804, 0.8152856100579242, 0.8151852404235679, 0.8150848707892117, 0.8149840980639544, 0.8148833253386971, 0.8147829557043409, 0.8146825860699847, 0.8145822164356284, 0.8144814437103711, 0.8143810740760149, 0.8142803013507576, 0.8141799317164014, 0.8140795620820451, 0.8139787893567878, 0.8138780166315306, 0.8137776469971744, 0.8136772773628181, 0.8135728768194516, 0.8134712979123923, 0.813369719005333, 0.8132693493709766, 0.8131665611912142, 0.813065788465957, 0.8129650157406997, 0.8128622275609373, 0.8127598424720759, 0.8126578604741155, 0.8125574908397593, 0.8124490593873824, 0.8123482866621252, 0.8122471108459669, 0.8121463381207096, 0.8120439530318482, 0.8119415679429868, 0.8118411983086306, 0.8117408286742743, 0.8116404590399181, 0.8115388801328588, 0.8114385104985025, 0.8113365285005422, 0.8112353526843838, 0.8111329675955224, 0.8110325979611662, 0.8109310190541069, 0.8108282308743445, 0.8107278612399882, 0.8106266854238299, 0.8105230910622655, 0.8104223183370082, 0.8103211425208499, 0.8102207728864936, 0.8101200001612363, 0.8100196305268801, 0.8099188578016229, 0.8098164727127615, 0.8097161030784052, 0.8096149272622469, 0.8095145576278907, 0.8094137849026334, 0.8093130121773762, 0.8092126425430198, 0.8091102574541584, 0.8090098878198022, 0.808909115094545, 0.8088083423692877, 0.8087067634622284, 0.80860558764607, 0.8085052180117138, 0.8084044452864565, 0.8083032694702983, 0.808202899835942, 0.8081025302015857, 0.8080021605672295, 0.8079017909328733, 0.807801018207616, 0.8076998423914576, 0.8075994727571014, 0.8074987000318442, 0.8073959118520818, 0.8072915113087152, 0.8071895293107548, 0.8070891596763986, 0.8069875807693393, 0.806886808044082, 0.8067856322279238, 0.8066852625935674, 0.8065848929592112, 0.806484523324855, 0.8063841536904988, 0.8062833809652414, 0.8061826082399842, 0.806082238605628, 0.8059814658803707, 0.8058806931551135, 0.805779114248054, 0.8056779384318957, 0.8055755533430344, 0.8054743775268761, 0.8053740078925199, 0.8052724289854605, 0.8051712531693022, 0.8050708835349459, 0.8049705139005897, 0.8048697411753325, 0.8047685653591742, 0.8046673895430159, 0.8045621828178473, 0.804461813183491, 0.8043610404582338, 0.8042558337330652, 0.8041494177351934, 0.8040490481008372, 0.8039478722846789, 0.8038470995594217, 0.8037463268341644, 0.8036455541089071, 0.8035451844745508, 0.8034448148401946, 0.8033436390240363, 0.803241657026076, 0.8031408843008186, 0.8030389023028583, 0.8029385326685021, 0.8028377599432448, 0.8027353748543834, 0.8026346021291262, 0.8025338294038689, 0.8024326535877105, 0.8023318808624533, 0.8022298988644929, 0.8021283199574336, 0.8020263379594732, 0.8019239528706118, 0.8018235832362556, 0.8017199888746911, 0.8016196192403349, 0.8015192496059786, 0.8014180737898203, 0.8013177041554641, 0.8012161252484048, 0.8011153525231475, 0.8010145797978903, 0.8009134039817319, 0.8008130343473757, 0.8007126647130194, 0.8006118919877622, 0.8005111192625048, 0.8004107496281486, 0.8003103799937924, 0.800207994904931, 0.8001076252705748, 0.8000068525453174, 0.7999048705473571, 0.7998036947311988, 0.7997033250968426, 0.7996029554624864, 0.7995017796463281, 0.7994014100119718, 0.7993010403776155, 0.7991905934707336, 0.7990902238363773, 0.7989870325657139, 0.7988830351132484, 0.7987826654788921, 0.7986822958445359, 0.7985819262101796, 0.7984811534849224, 0.798379171486962, 0.7982767863981006, 0.7981723858547342, 0.7980716131294768, 0.7979700342224175, 0.7978684553153582, 0.7977676825901009, 0.7976673129557447, 0.7975669433213884, 0.797464558232527, 0.7973637855072697, 0.7972634158729135, 0.7971630462385573, 0.7970598549678938, 0.7969590822426366, 0.7968583095173792, 0.796757939883023, 0.7966575702486668, 0.7965572006143106, 0.7964536062527461, 0.7963532366183899, 0.7962524638931325, 0.7961520942587763, 0.7960517246244201, 0.7959513549900639, 0.7958497760830044, 0.7957481971759451, 0.7956470213597868, 0.7955466517254306, 0.7954462820910744, 0.7953459124567182, 0.7952455428223618, 0.7951451731880056, 0.7950448035536494, 0.794942015373887, 0.7948416457395308, 0.7947388575597683, 0.79463768174361, 0.7945373121092537, 0.7944369424748975, 0.7943361697496403, 0.7942345908425809, 0.7941322057537196, 0.7940314330284622, 0.7939298541214029, 0.7938278721234425, 0.7937270993981853, 0.793626326672928, 0.7935223292204625, 0.7934155101316898, 0.7933139312246305, 0.7932119492266702, 0.7931111765014128, 0.7930083883216504, 0.7929076155963931, 0.7928072459620369, 0.7927028454186703, 0.792601266511611, 0.7924992845136507, 0.7923989148792945, 0.792295723608631, 0.7921953539742748, 0.7920937750672155, 0.7919934054328591, 0.7918918265257998, 0.7917914568914436, 0.7916854439844729, 0.7915842681683146, 0.7914838985339584, 0.7913831258087011, 0.7912811438107408, 0.7911807741763845, 0.7910804045420283, 0.790979631816771, 0.7908772467279096, 0.7907764740026524, 0.7906752981864941, 0.7905725100067316, 0.7904721403723753, 0.790370158374415, 0.7902693856491577, 0.7901690160148015, 0.790065018562336, 0.7899642458370787, 0.7898638762027225, 0.7897635065683662, 0.7896619276613069, 0.7895611549360496, 0.7894595760289903, 0.789358803303733, 0.7892584336693768, 0.7891576609441195, 0.7890552758552581, 0.7889545031300008, 0.7888533273138425, 0.7887529576794863, 0.7886497664088229, 0.7885481875017635, 0.7884474147765063, 0.7883466420512489, 0.7882458693259917, 0.7881454996916355, 0.7880443238754772, 0.7879427449684179, 0.7878411660613585, 0.7877395871542991, 0.7876380082472398, 0.7875364293401805, 0.7874360597058243, 0.787335690071468, 0.7872353204371118, 0.7871329353482504, 0.7870325657138941, 0.7869269558978245, 0.7868265862634682, 0.7867242011746068, 0.7866238315402506, 0.7865226557240923, 0.786421479907934, 0.7863199010008747, 0.7861945397306547, 0.7860925577326943, 0.785991785007437, 0.7858873844640705, 0.785783387011605, 0.7856826142863477, 0.7855822446519914, 0.7854810688358331, 0.7853802961105759, 0.7852795233853186, 0.7851783475691603, 0.7850775748439031, 0.7849768021186457, 0.7848760293933885, 0.7847748535772302, 0.784674483942874, 0.7845741143085178, 0.7844729384923594, 0.784370553403498, 0.7842472075877831, 0.7841424039535155, 0.7840416312282583, 0.783940858503001, 0.7838396826868427, 0.7837381037797834, 0.7836333001455158, 0.7835288996021493, 0.7834257083314858, 0.7833245325153275, 0.7832225505173672, 0.7831221808830109, 0.7830197957941495, 0.7829190230688923, 0.782818653434536, 0.7827130436184664, 0.7826094492569019, 0.7825086765316447, 0.7824062914427833, 0.7823039063539219, 0.7821974903560502, 0.7820971207216939, 0.7819967510873377, 0.7818963814529815, 0.781794399455021, 0.7816940298206648, 0.7815936601863086, 0.7814932905519524, 0.7813929209175962, 0.7812748152835945, 0.7811740425583373, 0.78107326983308, 0.7809729001987238, 0.7808705151098624, 0.7807701454755062, 0.7806673572957438, 0.7805649722068824, 0.7804629902089221, 0.7803626205745657, 0.7802606385766054, 0.780158656578645, 0.7800502251262682, 0.7799446153101987, 0.7798434394940403, 0.7797418605869809, 0.7796414909526247, 0.7795395089546644, 0.7794359145930999, 0.7793274831407231, 0.7792259042336638, 0.7791255345993074, 0.779022746419545, 0.7789191520579806, 0.7788163638782182, 0.7787151880620599, 0.7786128029731985, 0.7785079993389309, 0.7784019864319602, 0.7782983920703958, 0.7781956038906334, 0.7780936218926731, 0.7779924460765147, 0.7778920764421585, 0.7777917068078022, 0.777690530991644, 0.7775877428118815, 0.7774873731775253, 0.777386600452268, 0.7772834091816045, 0.7771814271836441, 0.7770766235493766, 0.7769746415514163, 0.77687427191706, 0.7767690651918914, 0.7766686955575351, 0.7765679228322779, 0.7764635222889114, 0.776360734109149, 0.7762603644747927, 0.7761563670223272, 0.776055191206169, 0.7759532092082085, 0.7758508241193471, 0.7757484390304857, 0.7756468601234264, 0.7755460873981692, 0.7754392683093965, 0.775336077038733, 0.7752357074043768, 0.7751349346791195, 0.7750337588629612, 0.7749329861377039, 0.7748289886852384, 0.774726200505476, 0.7746254277802187, 0.7745234457822584, 0.7744206576024959, 0.7743190786954366, 0.7742174997883773, 0.7741094714269015, 0.774005877065337, 0.7739026857946736, 0.773798285251307, 0.7736942877988415, 0.7735886779827719, 0.7734862928939105, 0.7733810861687419, 0.7732766856253753, 0.773174300536514, 0.7730715123567515, 0.7729691272678901, 0.7728675483608308, 0.7727663725446725, 0.7726651967285142, 0.772564827094158, 0.7724616358234946, 0.7723580414619301, 0.7722548501912666, 0.7721427909207805, 0.7720367780138099, 0.7719356021976516, 0.771830395472483, 0.7717219640201062, 0.77162159438575, 0.7715175969332845, 0.7714152118444231, 0.7713132298464627, 0.7712108447576013, 0.771110072032344, 0.7710084931252846, 0.7709073173091264, 0.7707976765840465, 0.770694888404284, 0.7705884724064124, 0.770486490408452, 0.7703857176831947, 0.7702853480488385, 0.770181753687274, 0.7700761438712044, 0.7699705340551348, 0.7698657304208673, 0.7697625391502038, 0.7696613633340454, 0.769557768972481, 0.7694521591564114, 0.7693513864311541, 0.7692506137058969, 0.7691405698899159, 0.7690345569829452, 0.7689293502577766, 0.7688269651689152, 0.7687257893527569, 0.7686242104456976, 0.768517794447826, 0.7684117815408553, 0.7683057686338847, 0.7681989495451119, 0.7680937428199434, 0.7679909546401809, 0.7678869571877154, 0.767784572098854, 0.7676813808281906, 0.767576980284824, 0.7674754013777647, 0.7673730162889033, 0.7672698250182398, 0.7671670368384774, 0.7670654579314181, 0.7669550110245361, 0.7668522228447737, 0.7667441944832979, 0.7666406001217334, 0.7665329748511587, 0.7664277681259901, 0.7663257861280297, 0.7662242072209704, 0.766121822132109, 0.7660202432250497, 0.7659194704997924, 0.765817085410931, 0.7657151034129707, 0.7656102997787031, 0.7655038837808315, 0.7653946461466525, 0.765289439421484, 0.7651846357872164, 0.7650830568801571, 0.7649782532458895, 0.7648653877936014, 0.764764615068344, 0.7646630361612847, 0.7645610541633243, 0.7644562505290569, 0.7643530592583934, 0.7642526896240371, 0.7641507076260767, 0.7640438885373041, 0.7639419065393437, 0.7638383121777792, 0.7637318961799076, 0.7636303172728482, 0.7635186610932632, 0.7634182914589069, 0.7633155032791444, 0.763212312008481, 0.7631099269196197, 0.7630083480125603, 0.7629027381964907, 0.7627983376531241, 0.7626818443827268, 0.7625810716574695, 0.7624750587504988, 0.7623690458435282, 0.7622610174820523, 0.762144927302556, 0.7620409298500905, 0.7619329014886147, 0.7618321287633574, 0.761729340583595, 0.7616273585856347, 0.761521345678664, 0.7614100925899799, 0.7613060951375145, 0.7612012915032469, 0.7611005187779897, 0.7609876533257015, 0.7608792218733247, 0.760774015148156, 0.7606712269683936, 0.7605684387886312, 0.7604668598815719, 0.7603584284291951, 0.7602447567951048, 0.7601439840698476, 0.7600403897082831, 0.7599355860740156, 0.7598263484398367, 0.7597175138965588, 0.7596151288076974, 0.7595091159007268, 0.7594075369936675, 0.7593059580866081, 0.7591995420887364, 0.759096350818073, 0.7589911440929044, 0.7588819064587256, 0.758779118278963, 0.7586751208264976, 0.7585719295558342, 0.7584695444669728, 0.7583574851964867, 0.7582563093803284, 0.7581353821100196, 0.7580321908393561, 0.7579294026595937, 0.7578044444802747, 0.7576887573916794, 0.7575847599392139, 0.7574775377595402, 0.7573703155798664, 0.7572554346730731, 0.757142972311686, 0.7570405872228246, 0.7569386052248642, 0.756837832499607, 0.7567229515928137, 0.7566217757766553, 0.7564972206882374, 0.7563916108721678, 0.756284791783395, 0.7561820036036326, 0.7560663165150373, 0.7559534510627491, 0.7558490505193827, 0.7557462623396202, 0.7556414587053526, 0.7555334303438769, 0.7554326576186196, 0.7553230168935396, 0.7552214379864803, 0.7551170374431138, 0.7550086059907369, 0.7548876787204283, 0.7547764256317442, 0.7546708158156746, 0.7545700430904173, 0.7544535498200199, 0.7543459245494452, 0.7542314467335529, 0.7541262400083842, 0.7540226456468199, 0.7539206636488595, 0.7538077981965713, 0.7537025914714027, 0.7535804549283909, 0.7534647678397955, 0.7533523054784085, 0.7532333936626049, 0.7531273807556342, 0.7530266080303769, 0.7529109209417816, 0.7528012802167017, 0.7527005074914443, 0.752598525493484, 0.7524949311319196, 0.7523925460430582, 0.7522768589544628, 0.7521333585936965, 0.7520265395049237, 0.7519144802344376, 0.7517915375096238, 0.751684718420851, 0.7515666127868496, 0.7514315773350048, 0.7513287891552424, 0.7512143113393501, 0.7511074922505774, 0.7510002700709036, 0.7508853891641104, 0.75078340716615, 0.7506830375317938, 0.7505584824433758, 0.7504468262637908, 0.7503432319022263, 0.750241652995167, 0.7501142762704417, 0.7499957675455392, 0.7498893515476676, 0.7497660057319526, 0.749645884643446, 0.7495342284638609, 0.7494338588295046, 0.7493318768315442, 0.749203290834116, 0.7490992933816505, 0.7489646610207068, 0.7488521986593196, 0.7487336899344171, 0.7486309017546547, 0.7485160208478614, 0.7484079924863856, 0.7482963363068006, 0.7481834708545124, 0.7480822950383541, 0.7479791037676906, 0.7478509208611634, 0.7477441017723907, 0.7476183374112696, 0.7474772555959094, 0.7473732581434439, 0.7472591834184527, 0.7471563952386903, 0.7470201505141424, 0.7469157499707759, 0.7468153803364197, 0.7467037241568346, 0.7465751381594063, 0.7464687221615346, 0.7463590814364547, 0.7462224336210058, 0.7460837703510519, 0.7459813852621905, 0.7458741630825168, 0.7457580729030203, 0.7456254559965818, 0.7455069472716792, 0.7453775550924489, 0.7452457443678124, 0.745115142915879, 0.7450059052817001, 0.7448603894664286, 0.7447305941962972, 0.7446120854713947, 0.7444883365647788, 0.7443601536582515, 0.7442210872973964, 0.7441106403905144, 0.7439872945747996, 0.7438615302136785, 0.7437406029433697, 0.7436398302181125, 0.7435265616749233, 0.7434128900408331, 0.7432927689523264, 0.7431811127727413, 0.7430718751385625, 0.7429303902323013, 0.7427993856894668, 0.7426707996920385, 0.7425148035133403, 0.7423676753344647, 0.7422451357005518, 0.742136704248175, 0.7420314975230065, 0.7418879971622401, 0.7417606204375149, 0.741622763349363, 0.7415127195333819, 0.7414054973537082, 0.7412757020835768, 0.7411217213593837, 0.7410024064526791, 0.7409004244547188, 0.7407383819125051, 0.7406343844600396, 0.7405247437349597, 0.7403889021013129, 0.7402695871946082, 0.7401676051966479, 0.7400285388357929, 0.7398802013842142, 0.7397334762962395, 0.7396290757528731, 0.7394839630285026, 0.7393263544862002, 0.739199380852376, 0.7390292764921418, 0.7389285037668845, 0.73879749922405, 0.7386294103183209, 0.7385088861389132, 0.7383718352325633, 0.7382521172349576, 0.7381473136006901, 0.7380408976028184, 0.7379070714236767, 0.7378034770621122, 0.7376950456097354, 0.737549529794464, 0.7374451292510974, 0.7373358916169185, 0.7372218168919273, 0.737065820713229, 0.7369235296251657, 0.7368195321727002, 0.7367034419932039, 0.7365321283602665, 0.7364176505443742, 0.7363116376374036, 0.7361548352769033, 0.736052853278943, 0.7359226549179105, 0.7357985029203936, 0.7356969240133342, 0.7355800276520358, 0.7354687745633518, 0.7353458318385379, 0.7352277262045364, 0.7350580249352031, 0.7349346791194883, 0.7348326971215279, 0.7346992740332873, 0.7345807653083847, 0.7344703184015027, 0.7343171438591116, 0.73421072786124, 0.7340986685907539, 0.7339559744117896, 0.7338144895055284, 0.7337129105984691, 0.7335774720557233, 0.7334428396947795, 0.7333174784245595, 0.7331808306091107, 0.733046601339068, 0.7329043102510047, 0.7327668562537538, 0.7326402857108306, 0.7325245986222353, 0.732354494262001, 0.7322214742646614, 0.7320259751776623, 0.7318949706348279, 0.7317409899106347, 0.7315870091864416, 0.7313999750083642, 0.7312754199199462, 0.7311270824683674, 0.7309799542894918, 0.7308283921107049, 0.7306603032049758, 0.7304764937541065, 0.7303342026660432, 0.7301536179423822, 0.7299952032182777, 0.7298375946759754, 0.7296453203161845, 0.7294078997754784, 0.7292724612327326, 0.7290745436003273, 0.7289104856036085, 0.7287202266983227, 0.7286085705187377, 0.7284654732488723, 0.728294965797737, 0.7280893894382122, 0.7278874408967967, 0.727726204536385, 0.7275016829045118, 0.7272944941813828, 0.7270760189130251, 0.726853915826558, 0.7266273787401797, 0.7263710129271252, 0.7261682582039075, 0.7259211634815768, 0.7257055098495262, 0.7254406791275501, 0.7252101111321614, 0.7249900235001995, 0.7247630833229202, 0.7245313060548284, 0.7242950947868254, 0.7240568680643172, 0.723819850614512, 0.723541717892802, 0.7232535078985662, 0.7229673133588356, 0.7226690260920741, 0.7224416828238936, 0.7220643897405303, 0.7217785982917008, 0.7216524308396787, 0.7214420173893414, 0.7213327797551626, 0.7210776232148112, 0.7207398330397488, 0.7206269675874607, 0.720409298500905, 0.7200428888718695, 0.7197014708786978, 0.7193423168858809, 0.7191980103433125, 0.7188952890766397, 0.7187707339882217, 0.7184680127215488, 0.7180645187296187, 0.7176618309194907, 0.7175118811043079, 0.717223671110072, 0.7170737212948892, 0.7166948158479218, 0.7165077816698444, 0.716155883313246, 0.7160031118617559, 0.7156536320505638, 0.7155298831439478, 0.7151328386064342, 0.7150070742453131, 0.7146164791622158, 0.7145088538916411, 0.7140944764453832, 0.7134926617301468, 0.7133394871877557, 0.7128614213791352, 0.7127336415635089, 0.7122979002994966, 0.7121338423027777, 0.7116311879491944, 0.7114264177714716, 0.7109003841456287, 0.7107451941487325, 0.7100680014350036, 0.7098983001656703, 0.7092618196329454, 0.7090691421822535, 0.7084890943756726, 0.7082557047439768, 0.70770467948227, 0.707480964032199, 0.7067799889553094, 0.7064873449611622, 0.705666651886667, 0.7053824728014415, 0.7044730997287199, 0.7041260384629338, 0.7032033633904782, 0.7028732319425354, 0.7018904963258265, 0.7017361125107323, 0.7005095068989008, 0.6998254616398544, 0.6985847478464868, 0.698434798031304, 0.6968587126082803, 0.6960553524425294, 0.6945030493826663, 0.6940818193910909, 0.6917305901653882, 0.6913133910828231, 0.6886445262271095, 0.6876706586102231, 0.6843117021319478, 0.6829536888863807, 0.6774922102683376, 0.6759636895716353, 0.6739385608848651], \\\"y\\\": [0.7104924235806226, 0.7112664133573399, 0.7120263298790587, 0.7127162320475822, 0.7135830961790096, 0.7142737440423942, 0.7148262877647585, 0.7153981607557683, 0.7162255790622498, 0.7169246642124284, 0.7175897271859477, 0.718307363817552, 0.7190524579839106, 0.719732236113309, 0.7203318334762648, 0.7212146378818861, 0.7220157727404104, 0.7226600689215109, 0.7233742623014476, 0.7240016719776169, 0.7245762941567194, 0.7252466627233404, 0.7258439682049768, 0.7265492734974254, 0.7272530786420578, 0.727772009434446, 0.7282779306199763, 0.7290035392371135, 0.7297129287490389, 0.7304887306480228, 0.7311266708692401, 0.7317126486848287, 0.7323672061986363, 0.7331160568946766, 0.7336820540350003, 0.7343980917484891, 0.7350412366122786, 0.7356728052286496, 0.736446746137651, 0.7370387080249169, 0.7378079814846634, 0.7385647148895966, 0.7392272930209562, 0.7398474912108323, 0.7404213651829408, 0.74095747707283, 0.7416955530989312, 0.7422989627318061, 0.742903085523731, 0.7437734772213281, 0.7444206645535397, 0.7450582533535572, 0.7457819832781295, 0.7464343494655686, 0.7471724032765036, 0.7478406014828921, 0.7486070311148482, 0.7493052288051326, 0.7497967854826796, 0.7502006109182741, 0.7508719579388998, 0.7514774086378737, 0.7520327879536324, 0.7526048903282017, 0.7531215475961693, 0.7536532658308186, 0.7543408718481401, 0.7550047495687979, 0.7555550132678488, 0.7563283662209586, 0.7568536256475148, 0.757404939218489, 0.7579859145809351, 0.7586378057499957, 0.7591474624794895, 0.7597816107769544, 0.7604202760780923, 0.7608657632882587, 0.7614610547077627, 0.7619020618574098, 0.7624502863412166, 0.7630161883369868, 0.7635078785032722, 0.7642598545555294, 0.7648337619316552, 0.7654724685440587, 0.7661892300961667, 0.7669022786173654, 0.7675366095133854, 0.7679672863537274, 0.7684983268084886, 0.7690184151622012, 0.769805193142061, 0.7701278045330376, 0.7707137060659938, 0.7711971570459041, 0.7717998481892319, 0.772377214580595, 0.7729569778836731, 0.7735169429682603, 0.7740949817215935, 0.774735387755074, 0.7754672671086178, 0.7757033077134041, 0.7763195147798277, 0.7768510756375084, 0.7774130203880728, 0.7780934530064003, 0.7786499948439802, 0.7790849994580816, 0.7798201359795289, 0.7801887093484796, 0.7806286920124114, 0.7811654304966552, 0.7817616086747172, 0.7822613977955912, 0.7828176485274265, 0.7831137178833307, 0.7837048886868115, 0.7842510293393559, 0.7847769982154269, 0.7851882577907247, 0.7856662761623332, 0.7860907887457312, 0.7866962877555931, 0.7870665296191254, 0.7875416408466238, 0.7881771324028065, 0.7886007265176118, 0.788928780279346, 0.789494047095651, 0.7900089898745993, 0.7904828797437923, 0.7909093792957598, 0.7914226877144663, 0.7918613766956495, 0.79231632167928, 0.7928433389880297, 0.7933734106483773, 0.7937926166433148, 0.7941809879165229, 0.7946434078137439, 0.7951120472124226, 0.7956371892485951, 0.7962036631108945, 0.7966444546830028, 0.7970874566971207, 0.7975217599782997, 0.797976174615942, 0.7984336986491809, 0.7988320108773579, 0.7992533451351438, 0.7997419107817074, 0.8000676111259611, 0.8005230919641302, 0.8008914246622003, 0.8013166218949345, 0.8018328545830501, 0.8023525286060924, 0.8027618790651748, 0.8033095166107815, 0.8037374379420232, 0.8042140515848988, 0.8046824400761085, 0.8051701751189508, 0.8056813255753701, 0.8060107063385735, 0.8064407899863487, 0.8067481673181666, 0.8073666467010923, 0.8078490802864504, 0.8083356245658717, 0.8087505439043974, 0.8092582502774969, 0.8097196710251806, 0.810230097562179, 0.8107079310921947, 0.81115369664648, 0.8115954304617705, 0.812083237233099, 0.8125352198812681, 0.8130086069065808, 0.8134307657033878, 0.8138553970773612, 0.81421153107137, 0.8146647350524797, 0.815016983288561, 0.8154867135296214, 0.8158053196797715, 0.816144955268808, 0.8165272179523708, 0.8169224973688917, 0.8172662719854163, 0.8177678744073907, 0.8180922792731576, 0.8184521863693963, 0.8189142182105007, 0.8193278222649174, 0.8197339920113699, 0.8200527834662861, 0.8205099958403628, 0.8208954508589545, 0.8212622040712143, 0.8216030533787708, 0.821997008917856, 0.822377995994072, 0.822708152270952, 0.8231421809468077, 0.8234756164134124, 0.8237701139380977, 0.8240738511145349, 0.8244393449501477, 0.8248313328662713, 0.8252332751444331, 0.8256022837062401, 0.8260594774267715, 0.8265228611828185, 0.8268696082406729, 0.8272468987788668, 0.827647736444046, 0.828045506514879, 0.8284461819215048, 0.8287164270640475, 0.829052814035072, 0.8293876913896191, 0.8297098308691773, 0.8300393661198673, 0.8304246480964631, 0.8308461323694416, 0.831231280936307, 0.8315568658790489, 0.8319170822077923, 0.8323386288795256, 0.8327900196944157, 0.8330645918371179, 0.8332971448406229, 0.8336582679799364, 0.8340288208628207, 0.8343559574896386, 0.8347267890608706, 0.8350757040423201, 0.8354256158697401, 0.8357427483771327, 0.8361239091099786, 0.8365178190900028, 0.8367740700191961, 0.8371685007402548, 0.8374778979029613, 0.8378836201401685, 0.8382869713591858, 0.838634901314905, 0.8390165789275249, 0.8393318300444466, 0.8396837317978888, 0.84003020890062, 0.840339459145034, 0.8405560890082743, 0.8409313840062601, 0.841189310320311, 0.8414837000906449, 0.8417988469593299, 0.8420594756928476, 0.8423726231106777, 0.8426475385347056, 0.8429734735692679, 0.8433214899608535, 0.8436522824379846, 0.8439691694971238, 0.8443093274651049, 0.8446477805651764, 0.8449469543595631, 0.8452845695500308, 0.8455597347148291, 0.845876309190259, 0.8462063987015306, 0.84660828145745, 0.8469392491190035, 0.8472600878687679, 0.847648790632717, 0.8479859263801229, 0.848258847015839, 0.8485450564527479, 0.8487714432440437, 0.8490547957172649, 0.8494771353579417, 0.8497398827006586, 0.850093644977033, 0.8503463529977928, 0.850611139229568, 0.8508816752795155, 0.8512461732841948, 0.8515461958012457, 0.8518449090590048, 0.8521056207241753, 0.8523910084141864, 0.8527046456859, 0.8529453215805951, 0.8532126260761916, 0.8534699060645903, 0.8537704267227727, 0.8539969167224177, 0.8543492626701109, 0.8546153804347404, 0.8548924052992642, 0.8551912706316342, 0.8554503392116017, 0.8557542731984743, 0.856085581671876, 0.8563118866316897, 0.8566125215933854, 0.8569149953695749, 0.8571989292073203, 0.8574962681270756, 0.8577343734151833, 0.8580278594235236, 0.8582726846790567, 0.8585267593486636, 0.8587521833079999, 0.8589969161561131, 0.8593280435779063, 0.8595967686085352, 0.8598694251347417, 0.8601555163422957, 0.8603536600987904, 0.8606407515475978, 0.860914989729195, 0.8612033810277709, 0.8615183376549167, 0.8617901756127285, 0.8621487103338283, 0.8623535301695038, 0.8626268709995608, 0.8629530014443182, 0.8632852283334671, 0.8635572661296101, 0.8637387582526123, 0.8639642745282666, 0.864261043095555, 0.864507756902034, 0.8648010850123594, 0.8650226029167727, 0.8652543727879447, 0.8654527173069534, 0.8656982126044945, 0.8659323729388995, 0.8662405875005091, 0.8664790573223816, 0.866654426254418, 0.8668432879746698, 0.8671068336096092, 0.8673973503636911, 0.8676959859086264, 0.8678861957852141, 0.8681333457616968, 0.8684736875942025, 0.8687294296070732, 0.8689613675267989, 0.8692322485489233, 0.8694971059733299, 0.8697593664016466, 0.8700086408417421, 0.8702377844355227, 0.8704691803537147, 0.8707196711713326, 0.8709038918878862, 0.8712158566602557, 0.8714385460658771, 0.8716721403813343, 0.8718854776804705, 0.8720908694617739, 0.8722818773185955, 0.8724862563505208, 0.87273322351621, 0.8729550123709683, 0.8732251569972668, 0.8734046204895097, 0.8736852975055974, 0.8739262253663467, 0.8741088697871461, 0.8743316161536431, 0.8745461658277398, 0.8748270185843494, 0.8750460818493875, 0.8752481453554934, 0.8754488926711974, 0.8756698713405298, 0.8759075499235314, 0.8762155900987584, 0.8764110446343818, 0.8766254711714654, 0.8768331949967069, 0.8771106092264048, 0.8773320899278518, 0.8774968261026473, 0.8777313286096208, 0.8779686937566081, 0.8781259601357677, 0.8783106449246223, 0.8785414809772686, 0.8788101412162097, 0.8790499184897937, 0.8792369586442217, 0.8794831145833797, 0.8796522965181144, 0.8798568039938957, 0.8801262008314951, 0.8802882331375036, 0.8805331014515283, 0.8807956407021693, 0.8809565285026988, 0.8811853582169455, 0.8813312043015199, 0.8815340095750902, 0.8817936932295322, 0.8819595945823107, 0.882255957296333, 0.8824748062826204, 0.8827231270040679, 0.882951573274154, 0.8831518921721099, 0.8833754649561838, 0.8835555324091121, 0.883782475811674, 0.8839714827813653, 0.8841807806053852, 0.8843959439632288, 0.8845964319209024, 0.8848214482301394, 0.8850157744789935, 0.8852231865443001, 0.8854275848557575, 0.88576232025622, 0.8860213674445511, 0.8862396508961561, 0.8864946035569631, 0.8866744697540392, 0.8868754474604701, 0.8871514000071214, 0.8873784905187598, 0.8875918890270535, 0.8878037128344728, 0.8881034548485647, 0.8882434680352669, 0.8884991195323534, 0.8887531079049837, 0.888982119209104, 0.8891704507097082, 0.8893963991646141, 0.8895513225365187, 0.8897257633190867, 0.8898800982501959, 0.8901019713137814, 0.8903742017249325, 0.8906062833888906, 0.8907930539221984, 0.8910099062430875, 0.8912527573237775, 0.8914025041714206, 0.8916111554376264, 0.8918416122243407, 0.8920380084044987, 0.8922161669970831, 0.8924245195724101, 0.8926149963548948, 0.8927979407341299, 0.8930020401347746, 0.8932051278870826, 0.8933725576805523, 0.8935707722280396, 0.8938061118570159, 0.8939509042697429, 0.8941390990256749, 0.8943044906900328, 0.894458491727849, 0.8946061902537471, 0.8947925766862771, 0.8950155292899663, 0.8951777291052699, 0.8953801150416143, 0.8955546661640313, 0.8956917992565581, 0.8958949203294831, 0.8960858055909939, 0.896285888287734, 0.8965088479585009, 0.8966499793054535, 0.8968523153551834, 0.8969879553175496, 0.8971512649895622, 0.8972618855754771, 0.89741863645585, 0.8976136720680536, 0.8977791449964589, 0.8979369828697612, 0.8980417261836494, 0.8981851100176671, 0.898336070037368, 0.8984799901827134, 0.8986554645707691, 0.8988232070781321, 0.8990207232000321, 0.8991824178249046, 0.8993767958351049, 0.8995408316884681, 0.8996699656161897, 0.8998675651870093, 0.9000705305698744, 0.9002767763303897, 0.9003904286757758, 0.900562235535632, 0.9007375451510147, 0.9009284486267789, 0.901067667590181, 0.901179704683754, 0.9013644844677184, 0.9015781410673438, 0.9017552227175513, 0.9018850682453751, 0.9020502210693244, 0.9022248779901552, 0.9023689518883227, 0.9025191767897356, 0.9026551017301143, 0.9028089084086358, 0.9029426653442465, 0.9030947795982364, 0.9032373508549669, 0.9033983849543173, 0.9035378173208974, 0.9036297283529049, 0.903812336986851, 0.904004209587183, 0.9041655384630958, 0.9043778694908517, 0.904515907403789, 0.9047199494413258, 0.9048526142210755, 0.9050302361614014, 0.9051583103200008, 0.9053621906932394, 0.9055290722869918, 0.9056921840049769, 0.9058702188317943, 0.9060492916530719, 0.906226479470414, 0.9064076559886515, 0.9065309248133804, 0.9066769591610544, 0.9067631269821629, 0.9068935758241627, 0.9070937042987431, 0.9072177366168049, 0.9073435992638668, 0.9074854723327186, 0.9076698425365642, 0.9077610503066734, 0.907904733955739, 0.9080852958394615, 0.9082121333937314, 0.9083584933008532, 0.9085028123316565, 0.9086627468075831, 0.9088293477752205, 0.9089678110656536, 0.909134211406782, 0.9092604467107264, 0.9093948412529408, 0.9095636385169836, 0.9096908631074767, 0.9098402582057564, 0.9099416750515886, 0.9100601688514781, 0.9101969692122298, 0.9103834873965178, 0.91049438570553, 0.9106105827049453, 0.9107222084863671, 0.9108391361972707, 0.9110082374856869, 0.9111521674002523, 0.9112742851671107, 0.9114400753275698, 0.9116017892996188, 0.9117343413404869, 0.911849364663913, 0.9119660431891184, 0.9121542492492686, 0.9122577843297067, 0.9123893964540034, 0.912530741169105, 0.9126640605577416, 0.9128220321759912, 0.9129368212127295, 0.9130757265460311, 0.9131760640221885, 0.9132949068450937, 0.9134278879837348, 0.9136029538068311, 0.9137151796406672, 0.9138669083062756, 0.914000579331946, 0.9140958113330993, 0.9142472240962591, 0.9143533741033093, 0.9144708596149032, 0.9146316588519613, 0.9147465199762402, 0.9148677023385495, 0.9149721764549332, 0.9151009999849238, 0.9151987019466492, 0.9153551502321641, 0.9154620723605795, 0.9156181749582277, 0.9157453577286653, 0.915889164905729, 0.9159803692693538, 0.9161144625116973, 0.9162129887309423, 0.9163377117694383, 0.9164238479247744, 0.9165530387475525, 0.9166712042599791, 0.9167568974109935, 0.9168715995835625, 0.9170255120818137, 0.9171891418601804, 0.9173111889413046, 0.9174634764553907, 0.9176007536772506, 0.9177683106768197, 0.9178882518163498, 0.9180181968024307, 0.9181209729112664, 0.9182383039192779, 0.9183417553894945, 0.9184519201368785, 0.9185753936681657, 0.9186863950977172, 0.9187584767187259, 0.9188725040122906, 0.9189732776730359, 0.919086248471203, 0.9192054522200906, 0.9193280867541038, 0.9194711094400967, 0.9196030717419479, 0.9197151395600458, 0.919828461415998, 0.9199462406994801, 0.9200572710517898, 0.9201599430292193, 0.9202682715823086, 0.9204195408881644, 0.9205496411728165, 0.9206501226790437, 0.9207373038916167, 0.9208495134203905, 0.9210351660273953, 0.9211250110130141, 0.9212016327841133, 0.921329227460938, 0.9214272402269066, 0.921549332790823, 0.921664747476997, 0.921828725584581, 0.9219301733215077, 0.9220143414567211, 0.9221177890909218, 0.9222185303067398, 0.9223278214085647, 0.9224306067987601, 0.9225499542579084, 0.9226641459726881, 0.9227651653597074, 0.9228803726778779, 0.9229944233701692, 0.9231085292167088, 0.9231931623662005, 0.9233202824735455, 0.923440519148966, 0.9235483633353444, 0.9236335744758484, 0.9237524230385067, 0.9238376498389564, 0.9239517678480993, 0.9240139898570026, 0.9241788190168089, 0.9243044685818484, 0.924397595918579, 0.9245115804125994, 0.924604050076162, 0.924696933598369, 0.9248118813100114, 0.9249382746455025, 0.9250378749887826, 0.9251725284995432, 0.9252587925201579, 0.9253682131811031, 0.9254960566889221, 0.9256170683560494, 0.9257108495833691, 0.925793250038334, 0.925920539176409, 0.9260274818044357, 0.9261459091209736, 0.9262601144800806, 0.9263589111946561, 0.9264440160419997, 0.926523776003107, 0.9266044192378456, 0.9267419711210273, 0.9268481084552215, 0.9269354593612728, 0.9270412473533332, 0.9271622780267473, 0.9272968966823647, 0.9273982730382428, 0.9274972667348361, 0.9275773976859767, 0.9276485319363573, 0.9277751543344422, 0.9278710033837442, 0.9279780527481442, 0.9280921716948042, 0.9281923022743401, 0.9282851385408285, 0.9284199516476795, 0.9284924294106878, 0.9286232427058937, 0.9287203483754056, 0.9288026966639031, 0.9288941145151629, 0.9289822425651226, 0.9290935659535482, 0.9292296653670653, 0.9293208807411157, 0.929424270382234, 0.9295323453643747, 0.9296315389503904, 0.929757009162999, 0.9298413555186325, 0.9299291081664137, 0.9300375827307152, 0.9301266581954989, 0.9302468196305761, 0.9303271610433544, 0.9304535481366183, 0.9305390352203403, 0.9306581047950282, 0.9307412172915059, 0.9308289272273952, 0.9309104507481566, 0.9310239674727157, 0.9310759977954592, 0.9311733433237889, 0.9312740255180724, 0.9313445089439093, 0.9314578053055164, 0.9315478993734837, 0.9316530075078863, 0.9317515064928917, 0.9318574207713252, 0.9319529746920845, 0.9320395291644452, 0.932112787614496, 0.932227336011739, 0.9323281808648366, 0.9324088648423309, 0.9324872674041969, 0.93256191601697, 0.9326770855292928, 0.9327593516382519, 0.9328717271989242, 0.9329874997368625, 0.9330538234894888, 0.9331550263002127, 0.9332425025378095, 0.933327087403274, 0.933413740690756, 0.9335339830905265, 0.9336551272446696, 0.933738832034517, 0.9338420290622579, 0.9339356311086232, 0.9340242715896504, 0.9341410278231994, 0.9342301432898494, 0.9343331798218518, 0.9344077086828289, 0.93446840643288, 0.9345727922082593, 0.9346575017222493, 0.9347481327759772, 0.9348614550192189, 0.9349412043688711, 0.9350538116430465, 0.935127204825113, 0.9352188803247701, 0.9352978132663194, 0.9353878794840436, 0.93546112551616, 0.9355465977481304, 0.9356270745176662, 0.9357328668617312, 0.9358302973566146, 0.9359108860339288, 0.936011776536343, 0.9360885495632084, 0.9361604181052574, 0.9362521312714227, 0.9363358517367321, 0.9364115723215907, 0.9364923994776546, 0.9365795784561948, 0.9366634371537387, 0.9367316656248573, 0.9368070913342001, 0.936900791973105, 0.9369940816199157, 0.937063250232511, 0.9371349613226972, 0.9372025164427686, 0.9372708892225204, 0.9373655984564025, 0.9374608026263656, 0.9375603238407971, 0.937621123262824, 0.9377262455996944, 0.9378220659536687, 0.9379196296583396, 0.9379861902363185, 0.9380693390123438, 0.9381474442423445, 0.9382293281504277, 0.9383155881855115, 0.9383903851565407, 0.9384745568813453, 0.9385920340741649, 0.9386660829061102, 0.9387550866698586, 0.9388172550616081, 0.9389076072483223, 0.9389893790619429, 0.9390840765680672, 0.9391847676562809, 0.9392735421970397, 0.9393457158624028, 0.9394140433213161, 0.9394926591362452, 0.9395871050327919, 0.9396512434225114, 0.9397307847844858, 0.9398077905017589, 0.9398998695634544, 0.9399598638798614, 0.940018595069572, 0.9401116314012093, 0.9401715909666024, 0.9402736764816542, 0.9403453266681902, 0.9404247281632996, 0.9405075958672787, 0.9405870910085087, 0.9406468924928807, 0.9407475222998719, 0.9408249676080762, 0.9408841994861918, 0.9409316378293004, 0.9410048383883249, 0.9411082320494262, 0.9411712266893906, 0.9412409171324225, 0.9413112537834127, 0.9413673823386262, 0.9414403017477044, 0.941485756855933, 0.9415432130408038, 0.9416076705280241, 0.9416497298891123, 0.9417181088804221, 0.9417916908088648, 0.9418329146212076, 0.9419000725785167, 0.9419780487704278, 0.9420664206642066, 0.9420968974602664, 0.9421939686085905, 0.9422435440262894, 0.9423095625176612, 0.9423940932265915, 0.9424541121152643, 0.9425378947315273, 0.9426126247726294, 0.9426670927902462, 0.9427131962735287, 0.9427728982132694, 0.9428486234886079, 0.942933505139716, 0.9429976177573827, 0.9430799636083959, 0.9431714251424645, 0.9432477429621351, 0.943328865086864, 0.9433827013945442, 0.9434725924862367, 0.9435233837917055, 0.9436011253257686, 0.9436646567621889, 0.9437267855950372, 0.9437876077822976, 0.9438602973698178, 0.943914721216383, 0.9439643789287777, 0.9440262644394259, 0.9440912200978557, 0.9441330734971728, 0.9442032986166362, 0.9442796498748433, 0.9443645415890901, 0.944437880691274, 0.9444986055065182, 0.9445371385200362, 0.9445697836889879, 0.94462748466711, 0.9447078985416869, 0.9447840317280788, 0.944858885828138, 0.9449171735473016, 0.9450029540963932, 0.9450529888288821, 0.9451170276232362, 0.9451823769506026, 0.9452613082600531, 0.945328923713798, 0.945382100824429, 0.9454414240593784, 0.9455056099140815, 0.9455689443829828, 0.9456543136338519, 0.9457286050362239, 0.9458139332290423, 0.945869925609673, 0.9459591637686225, 0.9460230499849082, 0.9461035829229156, 0.9461544063181105, 0.9461960046427865, 0.9462498103433956, 0.9463072485075292, 0.9463432090754529, 0.9464336367531863, 0.9464985874735558, 0.9465890613468753, 0.9466439791743314, 0.946723010017284, 0.9467889481914525, 0.9468554013082334, 0.9469359671409411, 0.9469887999791688, 0.9470861624166274, 0.9471522855957323, 0.947212264315541, 0.9472599227345024, 0.9473112224001191, 0.9473774373913889, 0.9474436778483741, 0.9474914115592008, 0.9475585808319531, 0.9476244516746982, 0.9476899062263382, 0.9477473623183543, 0.9478221430412666, 0.947880578171207, 0.9479443635654844, 0.9479984459745283, 0.9480693534407558, 0.948147294475104, 0.9482038581454637, 0.9482508506536848, 0.9483505673958521, 0.9484096095361324, 0.9484620773398095, 0.9485175931154998, 0.9485650560260732, 0.948626445130935, 0.9486745557705429, 0.9487266743951236, 0.9487783200609285, 0.9488290249738487, 0.9488744225724424, 0.9489434816106251, 0.9489792671983441, 0.9490514801159217, 0.949117502515738, 0.9491869861609287, 0.9492166156240505, 0.9492711476754837, 0.94932347618209, 0.9493842498379111, 0.9494441802331983, 0.9495161474001212, 0.9495796625582109, 0.9496405542225386, 0.9497014450864342, 0.949757904452457, 0.949831690265055, 0.9499029259224853, 0.9499594316393795, 0.9500097625265419, 0.9500721530527266, 0.9501174744955452, 0.9501808004057443, 0.9502423416606428, 0.9502989952687857, 0.9503655170663907, 0.9504128580492046, 0.950481213292063, 0.9505486781747806, 0.9505902434092817, 0.9506465996669295, 0.9507056597188086, 0.9507607158416521, 0.9508014515722228, 0.9508632569382476, 0.9509076051293976, 0.9509618413191343, 0.9510178883901579, 0.9510743807880755, 0.9511595698073744, 0.9512147890227268, 0.9512798907434479, 0.951323264560058, 0.9513847540574777, 0.9514175557283359, 0.951465243355226, 0.9515150543223456, 0.9515730777032924, 0.9516374089096334, 0.9516827870341749, 0.9517304498952601, 0.9517866896800147, 0.9518614689179101, 0.9519191896293105, 0.951976464386229, 0.9520346371887711, 0.9520784572790306, 0.9521343518204307, 0.9522082720561297, 0.9522764818858294, 0.9523379627878118, 0.952384601158541, 0.9524356938320104, 0.9524990406594774, 0.9525839609233797, 0.9526797857137109, 0.952725514917858, 0.95278174895004, 0.9528474137477816, 0.9529008489538602, 0.9529562435118146, 0.9530016780376106, 0.9530691293516304, 0.9531444446288083, 0.9532193163724094, 0.9532870290227957, 0.9533398224782462, 0.9533935616836104, 0.953444583585028, 0.953516352500954, 0.953565174379221, 0.9535972174282956, 0.9536519568387617, 0.9537053352400936, 0.9537822930378673, 0.953818063123866, 0.9538732262177385, 0.953935320183675, 0.9539842638418721, 0.9540504622816673, 0.9540826128722383, 0.9541302250895621, 0.954181075021443, 0.9542305591452286, 0.9542786765962085, 0.9543204952341424, 0.9543845901901566, 0.9544673429069762, 0.9545433113954145, 0.9546070115385477, 0.954662072573272, 0.9547121925743225, 0.954764583955897, 0.9548264447681736, 0.9548759509410717, 0.9549114876924903, 0.9549739942909062, 0.9550250706132152, 0.9550766638166633, 0.9551610723393857, 0.9552027011546921, 0.9552580246925367, 0.9552978598855791, 0.9553509388981932, 0.9554254642305113, 0.9554863253322581, 0.9555412949948299, 0.9556085943948227, 0.955643943160004, 0.9557130720351037, 0.9557657961367696, 0.9557960766608813, 0.9558543204053703, 0.9558870175643395, 0.9559297248981263, 0.9559857360206637, 0.9560216741977483, 0.9560850874769775, 0.956152166844721, 0.9562036803774825, 0.9562735356688286, 0.9563537486673933, 0.9564292047061079, 0.9564762453469946, 0.9565019796668867, 0.956553343476049, 0.9566013684991972, 0.9566452390248489, 0.9566992425401794, 0.956764742716511, 0.9568063901375958, 0.9568558801887159, 0.9568975780991957, 0.9569521144371176, 0.9570291507118264, 0.957070880529458, 0.9571217592334582, 0.9571603203678041, 0.9571809331209793, 0.9572152723770009, 0.9572579885275188, 0.9573131473505898, 0.9573595580187019, 0.9574064658939558, 0.9574708324894148, 0.9575274117979358, 0.957575235472555, 0.9576142976173686, 0.9576474813459332, 0.9577008027342367, 0.9577335504992666, 0.9577607728236278, 0.9577994981166125, 0.9578498148801299, 0.9578885480695786, 0.9579365691425267, 0.9579730615707978, 0.9580137029233224, 0.9580617906817268, 0.9580918728937776, 0.9581187090026927, 0.9581682052885362, 0.9582195889228347, 0.9582913418358876, 0.9583657989535691, 0.95842974296773, 0.9584862851648355, 0.9585316761653864, 0.9585683242686496, 0.9586244785719843, 0.9586903832723986, 0.9587400533452952, 0.9587628965659275, 0.9588019726004082, 0.9588526205931313, 0.9588954360724122, 0.9589529727938384, 0.9590128118834974, 0.9590621764943029, 0.95909902356948, 0.9591284532252372, 0.9591862032632443, 0.9592439156216885, 0.9592993065337733, 0.9593230143438444, 0.9593696849878618, 0.9594051733287583, 0.9594471842011635, 0.959483201628933, 0.95950994553388, 0.9595841634480524, 0.959614092698271, 0.9596794929639235, 0.9597067517550448, 0.9597670887108006, 0.9598096078525596, 0.9598508607548233, 0.9598939919891895, 0.9599390222285248, 0.959969613160377, 0.9600072093219837, 0.9600395314339523, 0.9600818171612905, 0.9601222312303029, 0.9601785485106697, 0.9602484266683782, 0.9602875094831443, 0.960327014547653, 0.9603623281823511, 0.9604098223460904, 0.9604732638160594, 0.9605353270591328, 0.960581513830719, 0.9606319264554077, 0.9606982646145095, 0.9607435691729466, 0.9607756686668658, 0.9608177246769447, 0.9608643632899023, 0.9609167153292499, 0.9609602230900112, 0.9609999970743781, 0.9610632002422882, 0.9610949792719552, 0.961134701810738, 0.9611726376735786, 0.9611960066740878, 0.9612348464178315, 0.9612920580104092, 0.9613314538191751, 0.9613599138162578, 0.9613990511678704, 0.9614304626703077, 0.961474079408836, 0.9615088401731873, 0.9615585573388453, 0.961593343876107, 0.9616413253187592, 0.9616759685290115, 0.9617234545390517, 0.9617634109831623, 0.9617846330279718, 0.9618297338851823, 0.9618716859680326, 0.9619159507550725, 0.9619758291945415, 0.9620149462396658, 0.9620513051582856, 0.9621227633761447, 0.9621690162513553, 0.9622176800675475, 0.9622705873991859, 0.9623012867554243, 0.9623580207084084, 0.9623869308045456, 0.9624332967119202, 0.9624748838377496, 0.9625137254401708, 0.9625624809232602, 0.9626111804241961, 0.9626576446776958, 0.962710669399162, 0.9627467484062452, 0.9627875863010618, 0.9628462470691165, 0.9628747981284598, 0.9629194644064598, 0.9629523141103522, 0.9630144696707148, 0.9630525366104287, 0.9631052616567546, 0.9631409885958488, 0.9631876429643111, 0.9632196044030006, 0.9632718860674094, 0.9633071908613727, 0.9633472313152545, 0.9633939618327488, 0.9634235037190052, 0.9634948849300103, 0.9635658563403094, 0.9636002979850534, 0.9636480471814522, 0.9636948812542664, 0.9637298190212764, 0.9637561974180876, 0.9638177538731469, 0.9638555643018212, 0.9638948138998455, 0.963945966561395, 0.9640081325286342, 0.964045579349023, 0.9640911292125984, 0.9641413667626162, 0.9641740940809652, 0.964223746423486, 0.9642655487938919, 0.9643139475364089, 0.9643543503624458, 0.9643952083437332, 0.9644370338110424, 0.9645017458400947, 0.9645353980878569, 0.9645820071432493, 0.9646138921552574, 0.9646589942011202, 0.9646926722956221, 0.964724591371282, 0.9647622691983828, 0.9648066123820755, 0.9648452549438294, 0.9648915568366988, 0.9649345116610855, 0.9649827579372944, 0.9650401077137538, 0.9650616042429833, 0.9650940931706545, 0.9651108369988141, 0.965146728563686, 0.9651821187701137, 0.9652136387535838, 0.9652418780300489, 0.9652757102650519, 0.96530685168091, 0.965349982205178, 0.9653859214335927, 0.9654477418509106, 0.9655008179680818, 0.9655400223328711, 0.9655927237715005, 0.965623458056912, 0.965679124138524, 0.9657271984813154, 0.9657598401121601, 0.9658012048342545, 0.9658363562758674, 0.9658972430479283, 0.9659318068973203, 0.9659756335437848, 0.9660025809611069, 0.9660290560877964, 0.9660582562552367, 0.966080503970129, 0.9661070884336126, 0.9661567794774018, 0.9662030516987398, 0.9662436304153614, 0.9662803706647597, 0.9663180864155381, 0.9663505157517134, 0.9663740269996989, 0.9663977851181642, 0.9664393847577979, 0.9664713731652262, 0.966518719122852, 0.9665381913118458, 0.9665947141071103, 0.9666488623543624, 0.9666745716931818, 0.9667100100169079, 0.9667342888335526, 0.966779340312206, 0.9668004746143758, 0.966827528933722, 0.9668842498029657, 0.9669037598344513, 0.9669329931180392, 0.9669500826247934, 0.9670014447651144, 0.967036182471416, 0.9670745989255322, 0.9671135617092922, 0.967157279040521, 0.9671762900498813, 0.9672074440658824, 0.9672527180919908, 0.9672839116687649, 0.9673387573401397, 0.9673751596150503, 0.9674107031019055, 0.9674395040557802, 0.9674644678268314, 0.9674938368270511, 0.967524217961149, 0.967546361087725, 0.9675932264592376, 0.9676371313731421, 0.9676777507976962, 0.967704771777778, 0.9677312184489967, 0.9677718091295221, 0.967827363007492, 0.9678913133208067, 0.9679242411839123, 0.9679599039188916, 0.9679923677237912, 0.968033094959581, 0.9680809896139585, 0.9681168001793461, 0.96814444469581, 0.9681782824709787, 0.9682146781562663, 0.9682491060708716, 0.9682922976463214, 0.9683306322049309, 0.9683680371032417, 0.9684084110686579, 0.9684470980311215, 0.9684698496902723, 0.9684985720997712, 0.9685253365701824, 0.9685696582574354, 0.9686003469368939, 0.968646538717763, 0.9686840065359674, 0.9687088697437076, 0.9687454151925959, 0.9687897578487005, 0.9688429589505378, 0.9688702763398563, 0.968916416041428, 0.9689446541388289, 0.9689944351186108, 0.9690231536353853, 0.9690391769898861, 0.9690952682968211, 0.9691294800233534, 0.9691577195361888, 0.9691913856525555, 0.969219753727712, 0.9692642803896547, 0.969296099573988, 0.969344622240063, 0.9693897467585069, 0.9694314553121589, 0.9694751708188581, 0.9694996645813033, 0.9695388680501688, 0.969575156468961, 0.9696116096963439, 0.969640943288956, 0.9696974760555678, 0.9697764699625973, 0.9698091951263126, 0.9698432200062317, 0.969865323789419, 0.9698983095515028, 0.9699347631044044, 0.9699992445816478, 0.970022985521606, 0.9700644143045299, 0.9701029202152752, 0.9701224183328175, 0.9701727011866071, 0.9702135110308111, 0.9702446517020242, 0.97027584788894, 0.9702986937416791, 0.9703396587466114, 0.970400279168853, 0.9704456396992591, 0.9704856223862927, 0.9705498486477915, 0.9705816122114216, 0.9706315550252249, 0.9706636726242416, 0.9706974610501433, 0.970740642585766, 0.9708131325131406, 0.9708250346787924, 0.9708577224745183, 0.9708786641547966, 0.9709016339193802, 0.9709236072568778, 0.9709661779654629, 0.9710063059667281, 0.9710335861233464, 0.9710821223496489, 0.9711050000815408, 0.9711403484627453, 0.9711682382113754, 0.9712130328370385, 0.9712439453019419, 0.971278787393454, 0.9713097797945633, 0.971335797063219, 0.9713717074963065, 0.9714145862426603, 0.9714515728869835, 0.9714981725866554, 0.9715227398306807, 0.9715466297558061, 0.9715840881110379, 0.9716224073640721, 0.9716826758953959, 0.9717286799714787, 0.9717757086746408, 0.9717968868638909, 0.9718325128896426, 0.9718592322269306, 0.9719221976040889, 0.9719493950160456, 0.9719884385845864, 0.9720199759334736, 0.9720459501796849, 0.9720780487505165, 0.9721111681815365, 0.9721523798011792, 0.9721860214458863, 0.972212416132313, 0.972227289684378, 0.9722600779141038, 0.972286383604759, 0.9723145923631341, 0.9723428672225851, 0.9723926946728143, 0.9724195381780727, 0.9724576955970996, 0.972491544879232, 0.9725473108528194, 0.9725720463092147, 0.9726079440761355, 0.9726584865500499, 0.9726939547362766, 0.9727343475100617, 0.9727677436093721, 0.9728116765396269, 0.9728301537702492, 0.9728604987072267, 0.9728873945432392, 0.9729208852981315, 0.9729389190687561, 0.9729807998460984, 0.9730051754828222, 0.9730405045913574, 0.9730750683583548, 0.9730935310307413, 0.9731379121634388, 0.9731560004325193, 0.973177032103104, 0.9732066194622987, 0.9732320677366078, 0.9732588496977322, 0.973291405973412, 0.9733179258202465, 0.9733315462950314, 0.973371858190167, 0.9734017948721916, 0.9734268309476691, 0.9734620005457713, 0.9734816121842497, 0.9735193554279723, 0.9735423083592762, 0.9735831836767562, 0.9736124462929902, 0.9736350872590932, 0.9736607117495433, 0.9736897158220704, 0.9737232710836122, 0.9737495078226487, 0.9737836832149834, 0.9738195295175772, 0.9738679750084658, 0.9739062044316482, 0.9739445553791978, 0.9740009900739142, 0.9740442099000168, 0.9740876605517168, 0.9741174741337771, 0.9741463159600234, 0.9741832638795049, 0.9742244445226944, 0.9742579272511819, 0.9742791606965808, 0.9743019972540994, 0.9743394959306959, 0.9743606222278427, 0.9744037812961037, 0.9744316797269118, 0.97445038590698, 0.9744781952953038, 0.9745199173540429, 0.9745642630593966, 0.974590748365121, 0.9746162437770663, 0.9746341979971471, 0.9746613114750694, 0.9746903999447499, 0.9747126615872818, 0.9747330167818022, 0.974764986860877, 0.9747965925022162, 0.9748308299984408, 0.9748504761993873, 0.974871923912354, 0.9748873476866887, 0.9749093019579128, 0.9749372442828059, 0.9749801398714906, 0.9750136327118482, 0.9750605907789603, 0.9750861579413913, 0.9751034817017905, 0.9751325952639565, 0.9751610146409141, 0.9751916567960421, 0.9752026506074308, 0.9752192414566042, 0.9752549264234944, 0.9752756631944354, 0.9752992455066908, 0.9753294979243117, 0.9753582860259845, 0.9753979294161338, 0.9754393579593591, 0.9754797552619413, 0.9755132459144383, 0.9755646741147467, 0.9755807743170286, 0.9756156273448772, 0.9756588107615768, 0.9757076560792499, 0.975740907542513, 0.9757683307780659, 0.9758013348176254, 0.9758210372030686, 0.9758560890952712, 0.9758825722537157, 0.9759204457847835, 0.9759472282816235, 0.9759856011971098, 0.9760119022076439, 0.9760417800705128, 0.9760825590672371, 0.9761120958008582, 0.9761257748727813, 0.9761631265965933, 0.9762073779917592, 0.9762414026909852, 0.9762726449916225, 0.976307366836394, 0.9763196289149022, 0.9763408767838987, 0.9763748184766038, 0.9764136295923291, 0.9764407340741367, 0.9764885774975443, 0.9765182619703541, 0.9765380747111353, 0.976558915099045, 0.9765778103581908, 0.9766128710354434, 0.9766293062647705, 0.9766605775277676, 0.9766766805165024, 0.9766945633962113, 0.97671922293678, 0.9767538087759708, 0.9767764103060299, 0.9767933310542509, 0.9768360972658767, 0.976860070270549, 0.9768988499154079, 0.9769288665491197, 0.9769690174061586, 0.9769936897970574, 0.9770227650094291, 0.9770401418294781, 0.9770734271960149, 0.9771078122192486, 0.9771443508580355, 0.977173390514504, 0.9771945344485999, 0.9772028364366526, 0.9772203368377752, 0.977251880292154, 0.9772712405197919, 0.9772983549050761, 0.977315822666234, 0.9773368114240713, 0.9773797104265043, 0.9774132785968477, 0.9774432873604135, 0.9774741961163828, 0.977511568362444, 0.9775365868739091, 0.9775630640749501, 0.9775933658218867, 0.9776354989260344, 0.9776626904415101, 0.9777044826966007, 0.9777431616731995, 0.9777616189071487, 0.9777892110858626, 0.9778114841756403, 0.9778527950096773, 0.9778870741871447, 0.9779045855268943, 0.9779258734915501, 0.9779470993233733, 0.9780265331176308, 0.9780459163792806, 0.9780846527348052, 0.9781493306744171, 0.9781816792945569, 0.9782039031466155, 0.9782464493204304, 0.9782828971777586, 0.9783129088892653, 0.9783435215354095, 0.978383758659536, 0.9784253077886711, 0.9784550966295239, 0.978496738105045, 0.9785306842337752, 0.9785578365261665, 0.9785818135794577, 0.978608106771174, 0.9786216593350296, 0.9786613316448557, 0.9786769456415649, 0.9787080351496543, 0.978751577299663, 0.9787685198349876, 0.9787916039934721, 0.9787975531499492, 0.9788195127097309, 0.9788668293156061, 0.9789214121118726, 0.9789384007131068, 0.9789830736234988, 0.9790212438441709, 0.979050075169839, 0.9790675536944193, 0.9790995866456387, 0.9791375613047673, 0.9791554872823324, 0.9791926253695193, 0.9792039690441903, 0.9792375027515211, 0.9792789282952479, 0.9793033591952257, 0.9793304876510076, 0.9793491995335001, 0.9793693740430091, 0.9793827005966308, 0.9794167655559325, 0.979450097604411, 0.9794723008524173, 0.9795129028027227, 0.9795294663140779, 0.9795501000592806, 0.9795921209368492, 0.97961675404563, 0.9796338956022139, 0.9796578558106631, 0.9796835978058864, 0.9797330736741753, 0.9797599358169926, 0.9797886120862823, 0.9798259219894875, 0.9798499978267554, 0.9798812140937234, 0.9799041885822938, 0.9799246186638605, 0.979948855862029, 0.979958515227554, 0.9799736563333312, 0.9800363220194183, 0.9800618277893985, 0.9800959535552539, 0.9801185392914095, 0.9801529492555003, 0.9801761699889255, 0.980195921265688, 0.9802298464641116, 0.98025446924939, 0.9802910879545524, 0.9803021093384487, 0.9803311157709718, 0.9803500940646879, 0.9803724150414046, 0.9804148402792184, 0.9804353344230436, 0.9804645260891642, 0.9804879784596772, 0.9805144029371033, 0.9805462540238714, 0.980558299475667, 0.9805801563623865, 0.9805995492208516, 0.9806273256953265, 0.9806534946775105, 0.9807009470476462, 0.9807208060892129, 0.9807374945287719, 0.9807724219494489, 0.980813750433864, 0.9808306173688699, 0.980866091306201, 0.9808871400987562, 0.9809136139452377, 0.9809450089044544, 0.9809721713132634, 0.9810105878848602, 0.9810495911106103, 0.9810859768226543, 0.9811363912304437, 0.9811766504794356, 0.981199294743059, 0.9812496473662053, 0.9812806497073202, 0.9813126065947332, 0.9813188531371949, 0.9813504219016336, 0.9813727886500785, 0.9814166831479819, 0.9814510952539088, 0.981487079065226, 0.9815503292486344, 0.9815958997303227, 0.9816406864375095, 0.9817046547104049, 0.9817498470984654, 0.9817970124435209, 0.9818449965691289, 0.9818988858755805, 0.9819519788463448, 0.9820012320747582, 0.9820283093019397, 0.9820658482861951, 0.9821338247969926, 0.9821861719886844, 0.9822073102536729, 0.9822466763783351, 0.9822963101950344, 0.982347146516057, 0.9823762714499868, 0.9824189222942329, 0.9824548616971608, 0.9825049104551168, 0.9825552088367049, 0.9826077317505751, 0.9826149907901988, 0.9826779859047594, 0.9826932158899957, 0.9827152694421631, 0.9827764461195063, 0.9827862210606981, 0.9828065102758954, 0.9828833528115805, 0.9829635730416505, 0.9830299337932205, 0.9830596257536004, 0.9831355254816571, 0.9831630079093117, 0.9831945381421542, 0.9832769680072727, 0.9833535483414856, 0.983369141094364, 0.9834098534980134, 0.9834314495643507, 0.9834810400351355, 0.9835089045275955, 0.9835581038341726, 0.9835753489587717, 0.9836328510873112, 0.9836420580862094, 0.9836909361992573, 0.98371702754923, 0.9837606756979469, 0.9837866608058218, 0.9838533483725892, 0.9839865247990394, 0.9840050265785903, 0.9840952216663792, 0.9841198016589275, 0.9842121913563057, 0.9842458972646202, 0.9843183564326184, 0.9843358724471756, 0.9843986349433514, 0.9844178147199449, 0.9844917613355338, 0.9845563579727208, 0.9846788021507206, 0.9846967507044824, 0.9848140685722995, 0.9848538521728798, 0.9849173754236132, 0.9849441825306725, 0.9850639358602057, 0.9851004730258366, 0.9852059201081418, 0.985247751298324, 0.9854134198792477, 0.985470265805846, 0.9856207333533336, 0.9856625475602194, 0.9858297005038782, 0.9858562154276886, 0.9860320471975865, 0.9861474005643736, 0.9863268633739212, 0.986344742315929, 0.9865377295664922, 0.9866092038084094, 0.9868102198602154, 0.9868758446536504, 0.98712473014739, 0.9872005857476139, 0.9875459188244781, 0.9876519909709996, 0.9880565621104167, 0.9881783150322444, 0.9887107381816, 0.9888370771079592, 0.9889922486122744]}, {\\\"line\\\": {\\\"color\\\": \\\"rgba(0, 125, 125, 1)\\\", \\\"width\\\": 1}, \\\"name\\\": \\\"Ensemble\\\", \\\"type\\\": \\\"scatter\\\", \\\"x\\\": [0.9583103235610663, 0.95820995392671, 0.9581091812014527, 0.9580084084761955, 0.9579080388418392, 0.957807669207483, 0.9577064933913246, 0.9576037052115622, 0.957502932486305, 0.9574013535792456, 0.9573009839448894, 0.9572002112196322, 0.957099841585276, 0.9569982626782165, 0.9568974899529593, 0.9567959110459, 0.9566951383206427, 0.9565947686862865, 0.9564935928701281, 0.9563928201448708, 0.9562924505105146, 0.9561920808761584, 0.956089292696396, 0.9559865045166336, 0.9558857317913763, 0.955784959066119, 0.9556841863408617, 0.9555838167065055, 0.9554826408903472, 0.955382271255991, 0.9552819016216347, 0.9551807258054764, 0.955078743807516, 0.9549779710822588, 0.9548771983570015, 0.9547768287226452, 0.954676459088289, 0.9545744770903286, 0.9544716889105662, 0.95437131927621, 0.9542705465509527, 0.9541701769165964, 0.9540698072822402, 0.9539666160115767, 0.9538662463772205, 0.9537658767428643, 0.9536638947449039, 0.9535635251105476, 0.9534631554761914, 0.953359964205528, 0.9532595945711717, 0.9531592249368155, 0.9530588553024593, 0.9529556640317958, 0.9528552943974395, 0.9527541185812812, 0.952653748946925, 0.9525529762216678, 0.9524522034964105, 0.9523514307711533, 0.9522502549549949, 0.9521498853206387, 0.9520495156862824, 0.9519491460519262, 0.9518487764175699, 0.9517459882378075, 0.9516456186034513, 0.951545248969095, 0.9514432669711347, 0.9513428973367785, 0.9512421246115211, 0.9511417549771649, 0.9510413853428087, 0.9509410157084525, 0.9508398398922941, 0.9507394702579378, 0.9506386975326806, 0.9505379248074233, 0.950435942809463, 0.9503347669933047, 0.9502343973589484, 0.9501312060882849, 0.9500296271812256, 0.9499260328196611, 0.9498256631853049, 0.9497252935509487, 0.9496249239165925, 0.9495245542822361, 0.9494241846478799, 0.9493226057408206, 0.9492222361064644, 0.9491206571994051, 0.9490174659287416, 0.9489138715671771, 0.9488135019328209, 0.9487131322984647, 0.9486127626641084, 0.9485123930297521, 0.9484100079408907, 0.9483096383065345, 0.9482092686721783, 0.948108899037822, 0.9480085294034658, 0.9479081597691096, 0.9478057746802482, 0.9477050019549909, 0.9476046323206346, 0.9475042626862784, 0.9474038930519222, 0.9473035234175659, 0.9472031537832096, 0.9471023810579524, 0.947000399059992, 0.9469000294256358, 0.9467996597912796, 0.9466992901569233, 0.946598920522567, 0.9464985508882108, 0.9463961657993494, 0.9462957961649932, 0.9461913956216267, 0.9460801425329426, 0.9459797728985864, 0.9458794032642301, 0.9457774212662697, 0.9456742299956064, 0.94557386036125, 0.9454734907268938, 0.9453731210925376, 0.9452727514581813, 0.945171978732924, 0.9450712060076668, 0.9449708363733106, 0.9448704667389543, 0.944769290922796, 0.9446689212884397, 0.9445685516540835, 0.9444681820197273, 0.944367812385371, 0.9442670396601137, 0.9441666700257575, 0.9440658973005003, 0.9439655276661439, 0.9438651580317877, 0.9437639822156294, 0.9436636125812732, 0.943563242946917, 0.9434628733125607, 0.9433621005873034, 0.9432605216802441, 0.9431601520458879, 0.9430597824115317, 0.9429582035044723, 0.942857430779215, 0.9427429529633228, 0.9426417771471645, 0.9425414075128082, 0.942441037878452, 0.9423406682440957, 0.9422398955188385, 0.9421298517028575, 0.9420274666139962, 0.9419262907978379, 0.9418251149816795, 0.9417247453473233, 0.941624375712967, 0.9415119133515799, 0.9414115437172237, 0.9413111740828675, 0.9412108044485111, 0.9411104348141549, 0.9410100651797987, 0.9409084862727394, 0.940807713547482, 0.9407069408222248, 0.9406057650060665, 0.9405045891899082, 0.940404219555552, 0.9403030437393937, 0.9402026741050374, 0.9401023044706812, 0.940001934836325, 0.9399003559292656, 0.9397995832040084, 0.9396992135696521, 0.9395988439352958, 0.9394984743009396, 0.9393960892120782, 0.939295719577722, 0.9391953499433657, 0.9390949803090095, 0.9389946106746533, 0.938894241040297, 0.9387926621332376, 0.9386914863170793, 0.938590310500921, 0.9384899408665648, 0.9383895712322086, 0.9382851706888421, 0.9381848010544858, 0.9380844314201295, 0.9379836586948723, 0.937883289060516, 0.9377829194261598, 0.9376817436100015, 0.9375813739756452, 0.937480601250388, 0.9373802316160317, 0.9372798619816755, 0.9371794923473192, 0.937078719622062, 0.9369771407150026, 0.9368767710806464, 0.9367759983553892, 0.9366756287210328, 0.9365752590866766, 0.9364740832705183, 0.9363737136361621, 0.9362733440018058, 0.9361729743674496, 0.9360709923694892, 0.935970622735133, 0.9358686407371727, 0.9357682711028164, 0.9356679014684601, 0.9355675318341039, 0.9354671621997477, 0.9353659863835894, 0.9352656167492331, 0.9351652471148769, 0.9350648774805206, 0.9349641047552634, 0.934862928939105, 0.9347613500320457, 0.9346609803976895, 0.9345606107633332, 0.934459838038076, 0.9343590653128186, 0.9342586956784624, 0.9341579229532052, 0.9340571502279479, 0.9339567805935917, 0.9338564109592354, 0.9337560413248792, 0.9336512376906116, 0.9335508680562553, 0.9334496922400971, 0.9333493226057408, 0.9332489529713845, 0.9331485833370283, 0.9330482137026721, 0.9329466347956128, 0.9328462651612565, 0.9327454924359992, 0.932645122801643, 0.9325447531672868, 0.9324435773511285, 0.9323432077167723, 0.9322428380824159, 0.9321420653571587, 0.9320416957228025, 0.9319413260884462, 0.9318409564540899, 0.9317405868197337, 0.9316402171853775, 0.9315398475510213, 0.931439477916665, 0.9313387051914077, 0.9312371262843484, 0.9311367566499922, 0.9310363870156358, 0.9309352111994776, 0.9308348415651213, 0.9307344719307651, 0.9306341022964089, 0.9305337326620526, 0.9304333630276964, 0.930331381029736, 0.9302310113953798, 0.9301306417610236, 0.9300298690357662, 0.9299282901287069, 0.9298267112216476, 0.9297259384963903, 0.9296255688620341, 0.9295251992276778, 0.9294248295933216, 0.9293244599589654, 0.9292240903246091, 0.9291237206902528, 0.9290233510558966, 0.9289229814215404, 0.9288226117871842, 0.9287222421528278, 0.9286218725184716, 0.9285210997932144, 0.9284199239770561, 0.9283195543426999, 0.9282187816174425, 0.9281180088921853, 0.928017639257829, 0.9279172696234728, 0.9278168999891165, 0.9277165303547603, 0.9276161607204041, 0.9275157910860479, 0.9274138090880875, 0.9273134394537312, 0.927213069819375, 0.9271127001850187, 0.9270123305506625, 0.9269119609163062, 0.92681159128195, 0.9267112216475938, 0.9266108520132375, 0.9265100792879802, 0.926409709653624, 0.9263093400192678, 0.9262085672940105, 0.9261077945687533, 0.9260070218434959, 0.9259066522091397, 0.9258062825747835, 0.9257055098495262, 0.9256051402151699, 0.9255047705808137, 0.9254039978555564, 0.9253032251302992, 0.9252028554959429, 0.9251020827706856, 0.9250017131363294, 0.9249009404110721, 0.9247997645949138, 0.9246989918696565, 0.9245986222353003, 0.9244982526009441, 0.9243970767847858, 0.9242967071504294, 0.9241963375160732, 0.924095564790816, 0.9239951951564598, 0.9238948255221034, 0.9237944558877472, 0.9236920707988858, 0.9235917011645296, 0.9234913315301734, 0.9233909618958172, 0.9232905922614609, 0.9231829669908861, 0.9230825973565299, 0.9229806153585695, 0.9228802457242132, 0.922779876089857, 0.9226795064555008, 0.9225783306393425, 0.9224779610049862, 0.9223763820979269, 0.9222760124635706, 0.9221756428292144, 0.9220748701039572, 0.9219745004696009, 0.9218741308352446, 0.9217737612008884, 0.9216733915665322, 0.9215730219321759, 0.9214726522978197, 0.9213722826634634, 0.9212715099382062, 0.92117114030385, 0.9210707706694937, 0.9209695948533354, 0.9208688221280781, 0.9207676463119198, 0.9206672766775635, 0.9205669070432073, 0.9204665374088511, 0.9203661677744949, 0.9202657981401385, 0.9201642192330792, 0.920063849598723, 0.9199630768734658, 0.9198623041482085, 0.9197619345138522, 0.9196599525158918, 0.9195587766997335, 0.9194576008835753, 0.919356828158318, 0.9192548461603576, 0.9191544765260014, 0.919053300709843, 0.9189529310754868, 0.9188525614411306, 0.9187517887158733, 0.918651419081517, 0.9185510494471608, 0.9184506798128046, 0.9183503101784484, 0.9182499405440921, 0.9181491678188348, 0.9180475889117755, 0.9179464130956172, 0.9178456403703599, 0.9177448676451027, 0.9176444980107464, 0.9175441283763902, 0.9174437587420339, 0.9173429860167767, 0.9172422132915193, 0.9171418436571631, 0.9170414740228069, 0.9169402982066486, 0.9168399285722924, 0.9167379465743319, 0.9166375769399757, 0.9165372073056195, 0.9164368376712633, 0.916336468036907, 0.9162360984025507, 0.9161353256772935, 0.9160349560429373, 0.915934586408581, 0.9158338136833237, 0.9157334440489675, 0.9156322682328092, 0.9155302862348488, 0.9154295135095916, 0.9153291438752353, 0.915228774240879, 0.9151271953338197, 0.9150215855177501, 0.9149212158833938, 0.9148208462490376, 0.9147176549783742, 0.914617285344018, 0.9145169157096616, 0.9144157398935033, 0.9143153702591471, 0.9142145975338899, 0.9141142278995337, 0.9140138582651773, 0.9139130855399201, 0.9138127159055639, 0.9137123462712076, 0.9136119766368513, 0.9135116070024951, 0.9134112373681389, 0.9133104646428816, 0.9132100950085253, 0.9131097253741691, 0.9130093557398129, 0.9129089861054567, 0.9128086164711003, 0.9127082468367441, 0.9126078772023879, 0.9125075075680317, 0.9124071379336754, 0.9123067682993192, 0.9122063986649629, 0.9121060290306067, 0.9120056593962504, 0.9119052897618942, 0.9118029046730328, 0.9117025350386766, 0.9116021654043204, 0.911501795769964, 0.9114014261356078, 0.9113010565012516, 0.9112006868668954, 0.9111003172325391, 0.9109987383254797, 0.9108975625093215, 0.9107955805113611, 0.9106952108770049, 0.9105944381517476, 0.9104920530628862, 0.9103916834285299, 0.9102909107032727, 0.9101897348871144, 0.9100889621618571, 0.9099881894365999, 0.9098878198022436, 0.9097874501678873, 0.9096870805335311, 0.9095855016264718, 0.9094851319921156, 0.9093847623577593, 0.909283586541601, 0.9091832169072448, 0.9090828472728885, 0.9089824776385322, 0.908882108004176, 0.9087817383698198, 0.9086813687354636, 0.9085805960102062, 0.9084794201940479, 0.9083790505596917, 0.9082738438345231, 0.9081734742001669, 0.9080727014749096, 0.9079723318405534, 0.907871156024395, 0.9077699802082367, 0.9076692074829795, 0.9075684347577222, 0.907468065123366, 0.9073676954890098, 0.9072673258546535, 0.9071665531293962, 0.90706618349504, 0.9069658138606838, 0.9068654442263275, 0.9067650745919712, 0.906664704957615, 0.9065635291414567, 0.9064607409616943, 0.906359565145536, 0.9062591955111797, 0.9061588258768235, 0.9060584562424673, 0.905957280426309, 0.9058565077010516, 0.9057561380666954, 0.9056557684323392, 0.905555398797983, 0.9054550291636266, 0.9053546595292704, 0.9052534837131121, 0.9051527109878549, 0.9050523413534987, 0.9049519717191424, 0.9048511989938851, 0.9047500231777268, 0.9046496535433706, 0.9045492839090143, 0.9044473019110539, 0.9043469322766977, 0.904241322460628, 0.9041409528262718, 0.9040405831919156, 0.9039402135575594, 0.9038342006505887, 0.9037314124708263, 0.9036278181092618, 0.9035274484749056, 0.9034266757496483, 0.9033263061152921, 0.9032251302991338, 0.9031239544829754, 0.9030235848486192, 0.9029224090324609, 0.9028220393981047, 0.902716429582035, 0.9026160599476788, 0.9025156903133226, 0.9024153206789663, 0.9023149510446101, 0.9022145814102538, 0.9021142117758976, 0.9020138421415413, 0.9019134725071851, 0.9018131028728289, 0.9017111208748685, 0.9016103481496113, 0.9015087692425519, 0.9014075934263935, 0.9013060145193342, 0.9012044356122749, 0.9011036628870176, 0.9010008747072552, 0.900900505072899, 0.9007997323476418, 0.9006993627132854, 0.9005985899880282, 0.9004945925355627, 0.9003942229012064, 0.9002938532668502, 0.9001926774506919, 0.9000919047254347, 0.8999915350910784, 0.8998907623658211, 0.8997903927314649, 0.8996900230971087, 0.8995884441900494, 0.899488074555693, 0.8993873018304358, 0.8992869321960796, 0.8991857563799213, 0.8990849836546639, 0.8989846140203077, 0.8988826320223473, 0.8987818592970901, 0.8986814896627339, 0.8985803138465756, 0.8984799442122193, 0.8983795745778631, 0.8982788018526058, 0.8981784322182496, 0.8980780625838933, 0.897977692949537, 0.8978773233151808, 0.8977769536808246, 0.8976761809555673, 0.897575811321211, 0.8974754416868548, 0.8973750720524986, 0.8972747024181423, 0.897173929692885, 0.8970727538767267, 0.8969723842423705, 0.8968720146080142, 0.896771644973658, 0.8966712753393018, 0.8965709057049456, 0.8964705360705892, 0.896370166436233, 0.8962697968018768, 0.8961694271675206, 0.8960690575331643, 0.895968284807907, 0.8958679151735508, 0.8957675455391946, 0.8956671759048384, 0.8955583413615604, 0.8954579717272042, 0.8953515557293326, 0.8952511860949762, 0.89515081646062, 0.8950496406444617, 0.8949492710101055, 0.8948480951939471, 0.8947461131959868, 0.8946457435616306, 0.8945449708363733, 0.8944446012020171, 0.8943442315676609, 0.8942430557515025, 0.8941426861171463, 0.8940423164827901, 0.8939415437575328, 0.8938411741231765, 0.8937391921252161, 0.8936388224908599, 0.8935384528565037, 0.8934380832221475, 0.8933373104968901, 0.8932369408625339, 0.8931365712281777, 0.8930353954120194, 0.8929350257776631, 0.8928342530524058, 0.8927338834180496, 0.8926331106927924, 0.892532741058436, 0.8924315652422777, 0.8923311956079215, 0.8922308259735653, 0.8921304563392091, 0.8920300867048528, 0.8919297170704966, 0.8918285412543383, 0.891728171619982, 0.8916233679857145, 0.8915189674423479, 0.8914145668989814, 0.891312584901021, 0.8912122152666648, 0.8911118456323085, 0.8910114759979523, 0.890911106363596, 0.8908038841839223, 0.8907031114586651, 0.8906027418243088, 0.8905023721899525, 0.8904020025555963, 0.8903016329212401, 0.8902004571050818, 0.8901000874707256, 0.8899997178363693, 0.889898945111112, 0.8897981723858547, 0.8896973996605975, 0.8895970300262412, 0.889496660391885, 0.8893954845757267, 0.8892947118504694, 0.8891943422161132, 0.8890907478545487, 0.8889903782201924, 0.8888900085858362, 0.88878963895148, 0.8886892693171237, 0.8885884965918665, 0.8884881269575102, 0.8883877573231539, 0.8882873876887977, 0.8881862118726394, 0.88808463296558, 0.8879834571494217, 0.8878830875150655, 0.8877827178807093, 0.887681945155452, 0.8875815755210957, 0.8874803997049374, 0.8873800300705812, 0.8872788542544229, 0.8871784846200667, 0.8870760995312053, 0.886975729896849, 0.8868753602624928, 0.8867749906281366, 0.8866746209937804, 0.886574251359424, 0.8864738817250678, 0.8863714966362064, 0.8862711270018502, 0.886170757367494, 0.8860703877331377, 0.8859700180987815, 0.8858696484644252, 0.8857636355574545, 0.8856632659230983, 0.8855628962887421, 0.8854625266543859, 0.8853536921111079, 0.8852529193858507, 0.8851489219333852, 0.8850485522990289, 0.8849481826646727, 0.8848478130303165, 0.8847474433959602, 0.884647073761604, 0.8845467041272478, 0.8844463344928915, 0.8843447555858321, 0.8842431766787728, 0.8841424039535155, 0.8840420343191593, 0.8839412615939021, 0.8838408919595458, 0.8837405223251895, 0.8836401526908333, 0.8835397830564771, 0.8834394134221208, 0.8833382376059625, 0.8832370617898042, 0.883136692155448, 0.8830363225210918, 0.8829355497958344, 0.8828351801614782, 0.8827344074362209, 0.8826332316200627, 0.8825316527130033, 0.882431283078647, 0.8823309134442908, 0.8822301407190335, 0.8821297710846773, 0.882029401450321, 0.8819286287250638, 0.8818282590907075, 0.8817278894563513, 0.881626310549292, 0.8815255378240346, 0.8814247650987774, 0.8813235892826191, 0.8812232196482629, 0.8811228500139067, 0.8810224803795504, 0.8809221107451941, 0.8808209349290358, 0.8807205652946796, 0.8806201956603233, 0.8805198260259671, 0.8804194563916109, 0.8803186836663536, 0.8802183140319974, 0.8801179443976411, 0.8800175747632849, 0.8799172051289286, 0.8798152231309683, 0.879714853496612, 0.8796144838622558, 0.8795141142278995, 0.8794137445935433, 0.879313374959187, 0.8792130053248308, 0.8791126356904746, 0.8790118629652173, 0.878911493330861, 0.8788095113329006, 0.8787091416985444, 0.8786079658823861, 0.8785075962480299, 0.8784072266136737, 0.8783064538884163, 0.8782060842540601, 0.8781053115288029, 0.8780049418944467, 0.8779045722600903, 0.8778042026257341, 0.8777026237186748, 0.8776022540843186, 0.8775014813590613, 0.877400708633804, 0.8772995328176457, 0.8771991631832895, 0.8770987935489333, 0.8769984239145769, 0.8768940233712105, 0.8767936537368543, 0.8766928810115969, 0.8765925113772407, 0.8764921417428845, 0.8763917721085281, 0.8762914024741719, 0.8761898235671126, 0.8760894539327564, 0.8759882781165981, 0.8758875053913407, 0.8757871357569845, 0.8756867661226283, 0.8755863964882721, 0.8754860268539159, 0.8753856572195596, 0.8752848844943023, 0.8751845148599461, 0.8750837421346888, 0.8749833725003325, 0.8748817935932732, 0.874781423958917, 0.8746794419609566, 0.8745786692356994, 0.874478299601343, 0.8743775268760858, 0.8742759479690265, 0.8741751752437692, 0.874074805609413, 0.8739744359750568, 0.8738736632497994, 0.8737732936154432, 0.8736721177992849, 0.8735713450740277, 0.8734709754396714, 0.8733702027144141, 0.8732690268982558, 0.8731674479911965, 0.8730670783568403, 0.872966305631583, 0.8728655329063257, 0.8727651632719695, 0.8726647936376132, 0.872564424003257, 0.8724640543689007, 0.8723636847345445, 0.872260493463881, 0.8721564960114155, 0.8720557232861582, 0.871955353651802, 0.8718549840174458, 0.8717546143830895, 0.8716542447487333, 0.871553472023476, 0.8714522962073177, 0.8713519265729615, 0.8712515569386052, 0.8711225678502759, 0.8710221982159196, 0.8709218285815634, 0.8708214589472072, 0.870721089312851, 0.8706195104057917, 0.8705175284078313, 0.870417158773475, 0.8703167891391188, 0.8702164195047625, 0.8701144375068022, 0.8700132616906439, 0.8699128920562876, 0.8698125224219314, 0.8697113466057731, 0.8696065429715055, 0.8695061733371493, 0.869405803702793, 0.8693054340684367, 0.8692046613431795, 0.869101470072516, 0.8690006973472588, 0.8688995215311005, 0.8687991518967443, 0.868697976080586, 0.8685959940826256, 0.8684956244482693, 0.8683952548139131, 0.8682940789977548, 0.8681937093633986, 0.8680933397290423, 0.867992970094686, 0.8678921973694288, 0.8677918277350726, 0.8676914581007162, 0.86759108846636, 0.8674907188320038, 0.8673903491976476, 0.8672895764723902, 0.867189206838034, 0.8670888372036778, 0.8669880644784206, 0.8668876948440642, 0.866786922118807, 0.8666853432117477, 0.8665849735773914, 0.8664846039430352, 0.8663834281268769, 0.8662830584925206, 0.8661826888581644, 0.8660819161329071, 0.8659815464985509, 0.8658811768641946, 0.8657779855935313, 0.8656776159591749, 0.8655756339612146, 0.8654748612359573, 0.8653740885107001, 0.8652729126945418, 0.8651725430601855, 0.8650709641531261, 0.8649705945187699, 0.8648698217935127, 0.8647694521591565, 0.8646690825248001, 0.8645687128904439, 0.8644683432560877, 0.8643679736217315, 0.8642667978055731, 0.8641664281712169, 0.8640652523550586, 0.8639648827207024, 0.8638645130863462, 0.8637641434519898, 0.8636633707267326, 0.8635630010923764, 0.8634622283671191, 0.8633618587327628, 0.8632614890984066, 0.8631611194640504, 0.8630603467387931, 0.8629599771044368, 0.8628592043791795, 0.8627588347448233, 0.8626584651104671, 0.8625536614761995, 0.8624532918418433, 0.862352922207487, 0.8622384443915947, 0.8621380747572385, 0.8620377051228822, 0.861937335488526, 0.8618369658541698, 0.8617365962198136, 0.8616362265854572, 0.8615354538602, 0.8614350842258438, 0.8613347145914875, 0.8612343449571312, 0.861133572231874, 0.8610332025975178, 0.8609324298722605, 0.8608320602379043, 0.860731690603548, 0.8606313209691918, 0.8605309513348355, 0.8604301786095783, 0.860329808975222, 0.8602294393408657, 0.8601290697065095, 0.8600287000721533, 0.859927524255995, 0.8598267515307377, 0.8597263818963814, 0.8596207720803118, 0.8595204024459556, 0.8594200328115994, 0.8593196631772431, 0.8592164719065797, 0.8591156991813224, 0.8590149264560651, 0.8589105259126986, 0.8588101562783423, 0.858708577371283, 0.8586074015551247, 0.8585058226480654, 0.858403437559204, 0.8583030679248478, 0.8582026982904915, 0.8581019255652342, 0.858001555930878, 0.8579011862965217, 0.8578004135712645, 0.8576996408460071, 0.8575980619389478, 0.8574976923045916, 0.8573973226702354, 0.8572969530358792, 0.8571961803106218, 0.8570958106762656, 0.8569954410419094, 0.8568942652257511, 0.8567914770459887, 0.8566911074116323, 0.8565907377772761, 0.8564895619611178, 0.8563891923267616, 0.8562888226924054, 0.8561884530580491, 0.8560856648782867, 0.8559852952439304, 0.8558849256095742, 0.8557833467025149, 0.8556829770681587, 0.8555805919792973, 0.8554794161631389, 0.8553770310742775, 0.8552766614399213, 0.855175485623763, 0.8550702788985944, 0.8549691030824361, 0.8548683303571788, 0.8547679607228226, 0.8546667849066643, 0.854566415272308, 0.8544660456379518, 0.8543632574581894, 0.8542624847329321, 0.8541596965531697, 0.8540569083734073, 0.85395613564815, 0.8538533474683876, 0.853748946925021, 0.8536485772906648, 0.8535482076563086, 0.8534474349310514, 0.8533454529330909, 0.8532446802078336, 0.8531439074825764, 0.8530435378482202, 0.852943168213864, 0.8528427985795076, 0.8527424289451514, 0.8526420593107952, 0.852541689676439, 0.8524413200420827, 0.8523409504077264, 0.8522405807733702, 0.852140211139014, 0.8520390353228556, 0.8519386656884994, 0.8518382960541432, 0.8517371202379849, 0.8516367506036286, 0.8515287222421528, 0.8514283526077966, 0.8513275798825393, 0.851227210248183, 0.8511268406138268, 0.8510256647976685, 0.8509248920724113, 0.850824522438055, 0.8507237497127977, 0.8506201553512333, 0.850519785716877, 0.8504190129916197, 0.8503186433572635, 0.8502182737229073, 0.850117904088551, 0.8500167282723927, 0.8499155524562344, 0.8498151828218782, 0.8497123946421158, 0.8496108157350564, 0.8495104461007001, 0.8494084641027398, 0.8493080944683835, 0.8492057093795222, 0.8491045335633639, 0.8490041639290077, 0.8489037942946513, 0.848802215387592, 0.8487014426623348, 0.8486006699370775, 0.8485003003027213, 0.848399930668365, 0.8482983517613057, 0.8481979821269494, 0.8480976124925932, 0.8479948243128308, 0.8478916330421673, 0.8477912634078111, 0.8476892814098508, 0.8475792375938698, 0.8474772555959095, 0.8473768859615531, 0.8472765163271969, 0.8471761466928407, 0.8470757770584845, 0.8469754074241282, 0.8468722161534648, 0.8467718465191085, 0.8466714768847523, 0.846570704159495, 0.8464699314342378, 0.8463695617998815, 0.846265161256515, 0.8461647916221587, 0.8460640188969014, 0.8459636492625452, 0.845863279628189, 0.8457629099938327, 0.8456625403594764, 0.8455617676342192, 0.845461397999863, 0.8453610283655068, 0.8452606587311504, 0.8451598860058932, 0.845059516371537, 0.8449591467371808, 0.8448587771028244, 0.8447584074684682, 0.844658037834112, 0.8445572651088546, 0.8444560892926964, 0.8443533011129339, 0.8442525283876767, 0.8441521587533205, 0.8440517891189642, 0.843950613302806, 0.8438502436684496, 0.8437498740340934, 0.8436495043997372, 0.8435487316744799, 0.8434483620401236, 0.8433479924057674, 0.8432476227714112, 0.8431468500461539, 0.8430464804117976, 0.8429461107774414, 0.8428457411430852, 0.842745371508729, 0.8426441956925707, 0.8425438260582144, 0.8424430533329571, 0.8423426836986009, 0.8422423140642447, 0.8421419444298884, 0.842039962431928, 0.8419363680703635, 0.8418359984360073, 0.8417315978926407, 0.8416312282582845, 0.8415308586239283, 0.841430085898671, 0.8413289100825128, 0.8412269280845524, 0.8411265584501961, 0.8410261888158399, 0.8409258191814836, 0.8408254495471273, 0.8407246768218701, 0.8406243071875139, 0.8405239375531576, 0.8404235679188014, 0.840322392102643, 0.8402220224682868, 0.8401180250158213, 0.8400148337451578, 0.8399144641108016, 0.8398136913855444, 0.8397129186602871, 0.8396125490259309, 0.8395093577552674, 0.839408181939109, 0.8393078123047528, 0.8392074426703966, 0.8391062668542383, 0.8390054941289811, 0.8389047214037237, 0.8388043517693675, 0.8387027728623082, 0.838602403227952, 0.8385012274117937, 0.8384008577774373, 0.8383004881430811, 0.8381993123269228, 0.8380985396016656, 0.8379981699673094, 0.837896994151151, 0.8377950121531906, 0.8376946425188344, 0.8375934667026761, 0.8374922908865178, 0.8373919212521616, 0.8372887299814982, 0.8371883603471418, 0.8370879907127856, 0.8369876210784294, 0.8368872514440732, 0.8367868818097169, 0.8366865121753607, 0.8365841270864993, 0.836483757452143, 0.8363825816359848, 0.8362773749108161, 0.8361725712765485, 0.8360722016421923, 0.8359714289169351, 0.8358710592825788, 0.8357706896482225, 0.8356703200138663, 0.8355699503795101, 0.8354695807451539, 0.8353671956562925, 0.8352664229310351, 0.8351656502057779, 0.8350652805714217, 0.834959670755352, 0.8348593011209958, 0.8347589314866396, 0.8346581587613823, 0.834557789127026, 0.8344566133108677, 0.8343562436765115, 0.8342558740421553, 0.834155504407799, 0.8340551347734427, 0.8339547651390865, 0.8338543955047303, 0.8337540258703741, 0.8336536562360178, 0.8335532866016615, 0.8334517076946022, 0.833351338060246, 0.8332509684258897, 0.8331505987915335, 0.8330498260662762, 0.8329474409774148, 0.8328470713430586, 0.8327366244361766, 0.8326358517109194, 0.8325354820765631, 0.8324318877149987, 0.8323315180806423, 0.8322311484462861, 0.8321299726301278, 0.8320296029957716, 0.8319284271796132, 0.831828057545257, 0.8317276879109008, 0.8316273182765446, 0.8315265455512872, 0.83142577282603, 0.8313217753735644, 0.8312197933756041, 0.8311194237412479, 0.8310174417432875, 0.8309170721089313, 0.830816299383674, 0.8307159297493177, 0.8306139477513574, 0.8305135781170012, 0.8304132084826449, 0.8303128388482887, 0.8302124692139324, 0.8301120995795762, 0.83001172994522, 0.8299109572199627, 0.8298097814038043, 0.8297090086785471, 0.8296082359532898, 0.8295034323190222, 0.829403062684666, 0.8293022899594088, 0.8292019203250525, 0.8291011475997953, 0.829000777965439, 0.8288991990583796, 0.8287988294240234, 0.8286984597896672, 0.8285932530644986, 0.8284928834301424, 0.828392513795786, 0.8282901287069246, 0.8281897590725684, 0.8280885832564101, 0.8279878105311529, 0.8278874408967967, 0.8277854588988363, 0.82768508926448, 0.8275847196301238, 0.8274843499957676, 0.8273815618160051, 0.8272811921816489, 0.8271788070927875, 0.8270768250948272, 0.8269764554604709, 0.8268756827352136, 0.8267749100099564, 0.8266745403756001, 0.8265741707412438, 0.8264733980159866, 0.8263698036544221, 0.8262682247473627, 0.8261678551130065, 0.8260670823877493, 0.8259651003897889, 0.8258619091191255, 0.8257615394847692, 0.8256591543959079, 0.8255587847615515, 0.8254580120362943, 0.8253576424019381, 0.8252572727675818, 0.8251565000423245, 0.8250561304079683, 0.8249557607736121, 0.8248549880483548, 0.8247542153230976, 0.8246538456887412, 0.824553476054385, 0.8244531064200288, 0.8243527367856726, 0.8242459176968998, 0.8241451449716426, 0.8240447753372863, 0.823943196430227, 0.8238428267958707, 0.8237420540706135, 0.8236416844362572, 0.823541314801901, 0.8234381235312376, 0.8233377538968812, 0.823237384262525, 0.8231362084463667, 0.8230342264484064, 0.8229338568140502, 0.8228334871796938, 0.8227311020908326, 0.8226307324564762, 0.82253036282212, 0.8224299931877638, 0.8223296235534076, 0.8222288508281502, 0.822128078102893, 0.8220264991958337, 0.8219245171978733, 0.8218241475635171, 0.8217237779291608, 0.8216234082948045, 0.8215230386604483, 0.8214226690260921, 0.8213206870281318, 0.8212199143028744, 0.8211195446685182, 0.821019175034162, 0.8209184023089047, 0.8208180326745484, 0.8207168568583901, 0.8206160841331329, 0.8205141021351725, 0.8204133294099152, 0.8203105412301528, 0.8202101715957966, 0.8201093988705392, 0.820009029236183, 0.8199086596018268, 0.8198082899674706, 0.8197079203331143, 0.8196075506987581, 0.8195071810644018, 0.8194068114300456, 0.8193056356138873, 0.819205265979531, 0.8191044932542738, 0.8190029143472144, 0.8189021416219572, 0.818801771987601, 0.8187014023532447, 0.8186006296279874, 0.818498244539126, 0.8183962625411657, 0.8182954898159084, 0.8181943139997501, 0.8180895103654825, 0.8179891407311263, 0.8178831278241556, 0.8177827581897994, 0.817679970010037, 0.8175796003756807, 0.8174788276504235, 0.8173784580160672, 0.817278088381711, 0.8171773156564537, 0.8170761398402954, 0.8169757702059391, 0.8168754005715829, 0.8167750309372267, 0.8166746613028704, 0.8165597803960771, 0.8164594107617209, 0.8163590411273647, 0.8162586714930083, 0.81615749567685, 0.8160567229515928, 0.8159555471354345, 0.8158547744101773, 0.8157527924122169, 0.8156524227778607, 0.8155516500526033, 0.815450071145544, 0.8153488953293857, 0.8152485256950295, 0.8151433189698609, 0.8150425462446036, 0.8149421766102474, 0.8148418069758911, 0.8147390187961288, 0.8146386491617724, 0.8145378764365152, 0.814437506802159, 0.8143367340769017, 0.8142363644425454, 0.814134382444585, 0.8140340128102288, 0.8139336431758726, 0.8138324673597143, 0.813730888452655, 0.8136297126364966, 0.8135293430021404, 0.8134285702768831, 0.8133282006425269, 0.8132278310081706, 0.8131262521011113, 0.813025479375854, 0.8129251097414978, 0.8128239339253395, 0.8127235642909832, 0.812623194656627, 0.8125224219313697, 0.8124220522970135, 0.8123212795717563, 0.8122209099374, 0.8121185248485386, 0.8120177521232813, 0.8119173824889251, 0.8118170128545689, 0.8117166432202126, 0.8116158704949553, 0.811515097769698, 0.8114147281353418, 0.8113143585009855, 0.8112139888666293, 0.811113216141372, 0.8110128465070158, 0.8109092521454513, 0.8108088825110951, 0.8107085128767388, 0.8106081432423826, 0.8105077736080264, 0.8104074039736701, 0.8103066312484128, 0.8102054554322545, 0.8101050857978983, 0.8100047161635421, 0.8099043465291857, 0.8098039768948295, 0.8097036072604733, 0.8096012221716119, 0.8095008525372557, 0.8094004829028995, 0.8092997101776421, 0.8091993405432859, 0.8090989709089297, 0.8089986012745735, 0.8088982316402172, 0.8087978620058609, 0.8086974923715047, 0.8085971227371485, 0.8084963500118911, 0.8083959803775349, 0.8082944014704756, 0.8081928225634163, 0.8080924529290601, 0.8079920832947037, 0.8078917136603475, 0.8077885223896841, 0.8076877496644268, 0.8075869769391696, 0.807482979486704, 0.8073826098523478, 0.8072802247634864, 0.8071790489473281, 0.8070786793129718, 0.8069783096786156, 0.8068710874989419, 0.8067699116827836, 0.8066687358666252, 0.806567963141368, 0.8064675935070118, 0.8063672238726555, 0.8062664511473983, 0.8061640660585369, 0.8060636964241806, 0.8059633267898244, 0.8058593293373588, 0.8057581535212006, 0.8056557684323392, 0.8055553987979829, 0.8054526106182205, 0.8053522409838643, 0.805250662076805, 0.8051502924424487, 0.8050442795354781, 0.8049435068102208, 0.8048431371758645, 0.8047427675415083, 0.8046423979071521, 0.8045420282727958, 0.8044412555475385, 0.8043400797313802, 0.804239710097024, 0.8041389373717667, 0.8040385677374104, 0.8039373919212521, 0.8038370222868959, 0.8037358464707376, 0.8036338644727773, 0.803533494838421, 0.8034331252040647, 0.8033327555697085, 0.8032279519354409, 0.8031275823010847, 0.8030272126667285, 0.8029256337596692, 0.8028252641253129, 0.8027248944909566, 0.8026241217656994, 0.8025205274041349, 0.8024201577697787, 0.8023197881354224, 0.8022186123192642, 0.8021174365031059, 0.8020154545051454, 0.8019150848707892, 0.801814715236433, 0.8017139425111757, 0.8016123636041164, 0.801511590878859, 0.8014079965172947, 0.8013072237920373, 0.8012052417940769, 0.8011048721597207, 0.8010040994344635, 0.8009033267092062, 0.8008021508930478, 0.8007017812586916, 0.8006014116243354, 0.8005010419899792, 0.800400672355623, 0.8003003027212666, 0.8001999330869104, 0.8000995634525542, 0.7999951629091876, 0.7998947932748314, 0.7997940205495742, 0.7996936509152179, 0.7995932812808616, 0.7994929116465054, 0.7993913327394461, 0.7992909631050898, 0.7991905934707336, 0.7990898207454763, 0.7989894511111201, 0.7988882752949618, 0.7987858902061004, 0.7986851174808431, 0.7985847478464868, 0.7984843782121306, 0.7983836054868734, 0.798280817307111, 0.7981804476727546, 0.7980800780383984, 0.7979764836768339, 0.7978761140424777, 0.7977745351354184, 0.7976737624101611, 0.7975733927758049, 0.7974726200505476, 0.7973714442343893, 0.7972710746000331, 0.7971698987838748, 0.7970695291495186, 0.7969667409697561, 0.7968663713353998, 0.7967655986101426, 0.7966648258848853, 0.7965644562505291, 0.7964640866161729, 0.7963637169818165, 0.7962633473474603, 0.796161768440401, 0.7960613988060448, 0.7959594168080844, 0.7958590471737281, 0.7957586775393719, 0.7956575017232136, 0.7955571320888574, 0.7954555531817981, 0.7953551835474418, 0.7952548139130855, 0.7951544442787293, 0.795054074644373, 0.7949537050100168, 0.7948525291938585, 0.7947517564686012, 0.794650983743344, 0.7945453739272743, 0.7944417795657098, 0.7943414099313536, 0.7942398310242943, 0.7941394613899381, 0.7940390917555818, 0.7939387221212255, 0.7938383524868693, 0.793737176670711, 0.7936368070363548, 0.7935356312201964, 0.7934352615858402, 0.7933340857696819, 0.7932337161353257, 0.7931333465009694, 0.793031364503009, 0.7929309948686528, 0.7928306252342966, 0.7927302555999404, 0.7926286766928811, 0.7925283070585247, 0.7924279374241685, 0.7923271646989113, 0.7922255857918519, 0.7921244099756937, 0.7920236372504363, 0.7919232676160801, 0.7918224948908228, 0.7917221252564666, 0.7916217556221103, 0.7915213859877541, 0.7914210163533979, 0.7913206467190416, 0.7912202770846853, 0.7911195043594281, 0.7910191347250719, 0.7909187650907156, 0.7908183954563593, 0.790717219640201, 0.7906164469149438, 0.7905160772805876, 0.7904153045553303, 0.790314934920974, 0.7902145652866178, 0.7901137925613605, 0.7900130198361033, 0.7899062007473305, 0.7898058311129743, 0.7897018336605088, 0.7895994485716474, 0.7894990789372911, 0.7893987093029349, 0.7892979365776777, 0.7891975669433214, 0.789095988036262, 0.7889948122201037, 0.7888928302221434, 0.7887920574968861, 0.7886916878625299, 0.7885884965918665, 0.7884881269575101, 0.7883873542322529, 0.7882869845978967, 0.788181777872728, 0.7880797958747677, 0.7879794262404115, 0.7878790566060553, 0.7877754622444908, 0.7876726740647283, 0.7875674673395597, 0.7874658884325004, 0.7873655187981442, 0.787265149163788, 0.7871647795294316, 0.7870644098950754, 0.7869640402607192, 0.786863670626363, 0.7867628979011057, 0.7866625282667494, 0.7865609493596901, 0.7864601766344328, 0.7863598070000766, 0.7862594373657203, 0.786156649185958, 0.7860562795516017, 0.7859559099172454, 0.7858555402828892, 0.785755170648533, 0.7856548010141767, 0.7855532221071174, 0.7854524493818601, 0.7853520797475039, 0.7852464699314342, 0.785146100297078, 0.7850457306627218, 0.7849453610283655, 0.7848385419395928, 0.7847377692143356, 0.7846373995799792, 0.784537029945623, 0.7844366603112668, 0.7843354844951085, 0.7842306808608409, 0.7841303112264847, 0.7840295385012274, 0.7839291688668711, 0.7838287992325149, 0.7837280265072577, 0.7836268506910994, 0.783524868693139, 0.7834244990587828, 0.7833233232426244, 0.7832225505173672, 0.7831217777921099, 0.7830201988850506, 0.7829190230688923, 0.7828130101619216, 0.7827126405275654, 0.7826114647114071, 0.7825102888952488, 0.7824095161699915, 0.7823079372629321, 0.7822075676285759, 0.7821067949033187, 0.7820060221780614, 0.7819040401801011, 0.7818024612730416, 0.7817016885477844, 0.7816013189134282, 0.7814997400063688, 0.7813993703720126, 0.7812953729195471, 0.7811893600125764, 0.7810813316511006, 0.7809809620167444, 0.7808805923823882, 0.7807786103844278, 0.7806766283864675, 0.7805762587521112, 0.7804758891177549, 0.7803747133015967, 0.7802715220309332, 0.780171152396577, 0.7800707827622207, 0.7799704131278644, 0.7798684311299041, 0.7797664491319437, 0.7796648702248844, 0.7795645005905282, 0.779464130956172, 0.7793633582309146, 0.7792621824147563, 0.7791614096894991, 0.7790610400551429, 0.7789598642389846, 0.7788594946046283, 0.778759124970272, 0.7786583522450148, 0.7785575795197575, 0.7784568067945002, 0.778356437160144, 0.7782560675257877, 0.7781540855278274, 0.7780529097116691, 0.7779525400773128, 0.7778509611702535, 0.7777505915358972, 0.777650221901541, 0.7775498522671848, 0.7774486764510264, 0.7773470975439671, 0.7772447124551057, 0.7771443428207495, 0.7770439731863933, 0.7769436035520371, 0.7768432339176807, 0.7767408488288194, 0.7766400761035621, 0.7765389002874038, 0.7764377244712455, 0.7763365486550872, 0.7762285202936114, 0.7761281506592552, 0.7760277810248989, 0.7759249928451365, 0.7758238170289782, 0.7757210288492158, 0.7756206592148596, 0.7755186772168992, 0.7754170983098398, 0.7753163255845826, 0.7752131343139191, 0.7751111523159587, 0.7750043332271861, 0.7749039635928299, 0.7748031908675725, 0.7747028212332163, 0.7746024515988601, 0.7745016788736028, 0.7744009061483456, 0.7743005365139892, 0.774200166879633, 0.7740981848816727, 0.7739978152473164, 0.7738966394311582, 0.7737954636149998, 0.7736950939806436, 0.7735927088917822, 0.7734923392574259, 0.7733911634412677, 0.7732891814433073, 0.773188811808951, 0.7730848143564856, 0.7729828323585252, 0.7728768194515545, 0.7727764498171983, 0.7726740647283369, 0.7725728889121786, 0.7724721161869214, 0.772371746552565, 0.7722713769182088, 0.7721710072838526, 0.7720706376494963, 0.7719702680151401, 0.7718698983807839, 0.7717691256555266, 0.7716683529302693, 0.771567580205012, 0.7714664043888537, 0.7713632131181903, 0.771262843483834, 0.7711616676676757, 0.7710608949424185, 0.7709601222171611, 0.7708577371282999, 0.7707569644030425, 0.7706565947686863, 0.7705562251343301, 0.7704558554999738, 0.7703550827747165, 0.7702547131403603, 0.7701543435060041, 0.7700535707807468, 0.7699523949645884, 0.7698516222393312, 0.7697512526049749, 0.7696500767888167, 0.7695493040635594, 0.769446918974698, 0.7693457431585397, 0.7692453735241834, 0.7691450038898272, 0.7690418126191637, 0.7689414429848075, 0.7688394609868472, 0.7687390913524909, 0.7686379155363326, 0.7685367397201743, 0.768436370085818, 0.7683360004514618, 0.7682356308171056, 0.7681348580918483, 0.768034085366591, 0.7679333126413338, 0.7678321368251755, 0.7677317671908191, 0.7676313975564629, 0.7675310279221067, 0.7674306582877505, 0.7673302886533943, 0.7672283066554338, 0.7671275339301766, 0.7670263581140183, 0.7669118802981261, 0.7668094952092647, 0.7667079163022054, 0.766607143576948, 0.7665067739425918, 0.7664060012173345, 0.7663052284920773, 0.76620445576682, 0.7661036830415627, 0.7660025072254044, 0.7659013314092461, 0.7658009617748899, 0.7657005921405337, 0.7655978039607712, 0.7654974343264149, 0.7653970646920587, 0.7652966950577025, 0.7651947130597421, 0.7650919248799797, 0.7649907490638214, 0.7648899763385641, 0.7647896067042078, 0.7646876247062475, 0.7645860457991882, 0.7644844668921288, 0.7643840972577726, 0.7642829214416142, 0.7641769085346436, 0.7640761358093864, 0.763974153811426, 0.7638733810861688, 0.7637709959973074, 0.763668207817545, 0.7635678381831887, 0.7634622283671191, 0.7633614556418618, 0.7632610860075055, 0.7631607163731493, 0.7630599436478921, 0.7629591709226348, 0.7628588012882785, 0.7627572223812192, 0.7626447600198321, 0.7625403594764656, 0.7624399898421093, 0.7623388140259509, 0.7622384443915947, 0.7621376716663375, 0.7620373020319813, 0.7619369323976249, 0.7618365627632687, 0.7617333714926053, 0.761633001858249, 0.7615326322238928, 0.7614322625895366, 0.7613266527734669, 0.7612258800482097, 0.7611255104138535, 0.7610251407794972, 0.7609247711451409, 0.7608244015107847, 0.7607236287855275, 0.7606232591511711, 0.7605228895168149, 0.7604225198824587, 0.760316506975488, 0.7602161373411318, 0.7601157677067756, 0.7600153980724194, 0.759914625347162, 0.7598142557128058, 0.7597126768057465, 0.7596119040804892, 0.759511131355232, 0.7594107617208756, 0.7593103920865194, 0.7592055884522518, 0.7591032033633904, 0.7590028337290342, 0.7589012548219749, 0.7588008851876187, 0.7587005155532625, 0.7586001459189061, 0.7584981639209458, 0.7583961819229854, 0.7582941999250251, 0.7581918148361637, 0.7580902359291044, 0.7579890601129461, 0.7578882873876888, 0.7577867084806295, 0.7576863388462732, 0.7575855661210159, 0.7574835841230556, 0.7573828113977983, 0.7572820386725411, 0.7571816690381848, 0.7570812994038285, 0.7569793174058682, 0.7568773354079078, 0.7567769657735516, 0.7566741775937892, 0.7565734048685319, 0.7564730352341756, 0.7563702470544132, 0.7562690712382549, 0.7561682985129977, 0.7560679288786414, 0.7559675592442852, 0.7558667865190279, 0.7557652076119685, 0.7556648379776123, 0.7555640652523551, 0.7554616801634937, 0.7553613105291375, 0.755258522349375, 0.7551581527150187, 0.7550577830806625, 0.7549566072645042, 0.7548542221756428, 0.7547538525412866, 0.7546530798160294, 0.754552710181673, 0.7544523405473168, 0.7543519709129606, 0.7542511981877034, 0.7541480069170399, 0.7540464280099806, 0.7539432367393171, 0.7538352083778412, 0.753734435652584, 0.7536340660182278, 0.7535336963838716, 0.7534333267495152, 0.753332957115159, 0.7532325874808028, 0.7531314116646445, 0.7530245925758717, 0.7529242229415155, 0.7528194193072479, 0.7527186465819907, 0.7526178738567334, 0.7525175042223772, 0.75241673149712, 0.7523163618627636, 0.7522159922284074, 0.7521156225940512, 0.7520136405960908, 0.7519132709617345, 0.7518124982364773, 0.7517064853295067, 0.7516061156951505, 0.7515057460607941, 0.7514053764264379, 0.7513046037011807, 0.7512022186123193, 0.7510986242507548, 0.7509982546163986, 0.7508974818911412, 0.7507934844386758, 0.7506902931680123, 0.7505838771701406, 0.7504835075357844, 0.7503654019017829, 0.7502650322674266, 0.7501610348149611, 0.7500606651806049, 0.7499602955462487, 0.7498583135482882, 0.749757943913932, 0.7496571711886748, 0.7495563984634175, 0.7494552226472592, 0.749354449922002, 0.7492540802876456, 0.7491537106532894, 0.7490525348371311, 0.7489505528391708, 0.7488501832048146, 0.7487498135704582, 0.748649040845201, 0.7485470588472406, 0.7484462861219834, 0.7483455133967261, 0.7482451437623698, 0.7481431617644095, 0.7480419859482512, 0.7479404070411919, 0.7478400374068356, 0.7477376523179742, 0.7476360734109149, 0.7475357037765586, 0.7474353341422024, 0.7473349645078462, 0.7472345948734899, 0.7471342252391336, 0.7470334525138764, 0.7469318736068171, 0.7468311008815598, 0.7467299250654015, 0.7466295554310453, 0.746529185796689, 0.7464288161623328, 0.7463276403461745, 0.7462264645300162, 0.74612609489566, 0.7460257252613037, 0.7459237432633433, 0.7458233736289871, 0.7457221978128288, 0.7456218281784726, 0.7455194430896112, 0.7454182672734528, 0.7453158821845914, 0.7452098692776208, 0.7451094996432646, 0.7450083238271062, 0.74490795419275, 0.7448071814674927, 0.7447068118331365, 0.7446044267442751, 0.7445032509281168, 0.7444028812937605, 0.7443025116594043, 0.7442021420250481, 0.7441013692997908, 0.7440005965745335, 0.7439002269401773, 0.7437978418513159, 0.7436950536715534, 0.7435946840371972, 0.7434935082210389, 0.7433927354957817, 0.7432923658614254, 0.7431919962270692, 0.7430916265927129, 0.7429904507765546, 0.7428900811421983, 0.74278890532604, 0.7426885356916838, 0.7425853444210204, 0.7424841686048621, 0.7423805742432976, 0.7422802046089414, 0.7421794318836841, 0.7420790622493278, 0.7419778864331695, 0.7418755013443081, 0.7417751317099519, 0.7416747620755957, 0.7415731831685364, 0.741472410443279, 0.7413712346271207, 0.7412704619018635, 0.7411684799039031, 0.7410669009968438, 0.7409661282715865, 0.7408657586372303, 0.7407629704574679, 0.7406593760959034, 0.7405590064615472, 0.7404586368271909, 0.7403582671928347, 0.7402578975584784, 0.740155512469617, 0.7400551428352607, 0.7399547732009045, 0.7398544035665483, 0.73975322775039, 0.7396520519342317, 0.7395512792089745, 0.7394509095746181, 0.7393501368493609, 0.7392497672150047, 0.7391489944897474, 0.739047415582688, 0.7389466428574307, 0.7388458701321735, 0.7387450974069162, 0.7386410999544507, 0.7385395210473914, 0.7384351205040248, 0.7383327354151634, 0.7382311565081041, 0.7381299806919458, 0.7380288048757876, 0.7379260166960251, 0.7378244377889658, 0.7377240681546096, 0.7376172490658368, 0.7375164763405796, 0.7374148974335202, 0.7373133185264609, 0.7372117396194016, 0.7371113699850453, 0.7370069694416788, 0.736898941080203, 0.7367985714458467, 0.7366977987205895, 0.7365974290862333, 0.736497059451877, 0.7363954805448176, 0.7362951109104614, 0.7361943381852042, 0.7360927592781448, 0.7359911803710855, 0.7358908107367292, 0.7357900380114719, 0.7356892652862147, 0.7355888956518585, 0.7354885260175023, 0.7353869471104428, 0.7352865774760866, 0.7351858047508294, 0.7350854351164731, 0.7349846623912158, 0.7348830834841565, 0.7347823107588992, 0.7346779102155327, 0.7345763313084733, 0.7344751554923151, 0.7343747858579588, 0.7342715945872954, 0.7341712249529392, 0.7340704522276819, 0.7339640362298102, 0.7338620542318498, 0.7337616845974936, 0.7336613149631374, 0.7335609453287811, 0.7334601726035238, 0.7333598029691676, 0.7332586271530093, 0.7331554358823458, 0.7330546631570886, 0.7329538904318312, 0.7328523115247719, 0.7327519418904157, 0.7326515722560595, 0.7325459624399898, 0.7324455928056336, 0.7323452231712774, 0.7322448535369211, 0.7321444839025648, 0.7320441142682086, 0.7319437446338524, 0.7318429719085952, 0.7317421991833378, 0.7316418295489816, 0.7315414599146254, 0.731440687189368, 0.7313387051914078, 0.7312367231934473, 0.7311363535590911, 0.7310359839247349, 0.7309356142903787, 0.7308348415651214, 0.7307344719307651, 0.7306336992055078, 0.7305321202984485, 0.7304305413913892, 0.730330171757033, 0.7302298021226766, 0.7301290293974194, 0.7300286597630632, 0.7299278870378059, 0.729819455585429, 0.7297190859510728, 0.7296154915895083, 0.729513509591548, 0.729403465775567, 0.7293026930503098, 0.7292023234159535, 0.7291007445088942, 0.728999971783637, 0.7288996021492807, 0.7287992325149244, 0.7286976536078651, 0.7285972839735089, 0.7284957050664496, 0.7283953354320933, 0.728294965797737, 0.7281865343453602, 0.728085761620103, 0.7279841827130437, 0.7278838130786873, 0.7277834434443311, 0.7276830738099749, 0.7275818979938166, 0.7274791098140542, 0.7273779339978959, 0.7272775643635396, 0.7271771947291834, 0.7270764220039261, 0.7269760523695699, 0.7268652023717869, 0.7267648327374306, 0.7266636569212723, 0.7265604656506088, 0.7264596929253516, 0.7263589202000943, 0.7262581474748371, 0.7261577778404809, 0.7260570051152235, 0.7259562323899663, 0.72585586275561, 0.7257538807576497, 0.7256531080323924, 0.7255487074890259, 0.7254483378546696, 0.7253475651294123, 0.725245986222353, 0.7251452134970957, 0.7250448438627395, 0.7249444742283833, 0.724844104594027, 0.7247433318687697, 0.7246409467799083, 0.7245405771455521, 0.7244402075111959, 0.7243390316950375, 0.7242382589697802, 0.724137889335424, 0.7240185744287194, 0.7239141738853528, 0.7238138042509966, 0.7237134346166404, 0.7236130649822842, 0.723512695347928, 0.7234103102590665, 0.7233099406247103, 0.7232067493540468, 0.7231063797196906, 0.7230035915399282, 0.7229028188146709, 0.7228024491803147, 0.7227016764550573, 0.7226013068207011, 0.7224997279136418, 0.7223993582792856, 0.7222973762813252, 0.7221945881015628, 0.7220926061036024, 0.7219922364692462, 0.7218918668348899, 0.7217910941096327, 0.7216907244752764, 0.7215895486591181, 0.7214887759338608, 0.7213880032086035, 0.7212876335742473, 0.7211872639398911, 0.7210852819419308, 0.7209849123075744, 0.7208833334005151, 0.7207829637661589, 0.7206805786772975, 0.7205802090429413, 0.7204798394085851, 0.7203794697742287, 0.7202786970489715, 0.7201783274146153, 0.7200779577802591, 0.7199767819641008, 0.7198760092388434, 0.719773624149982, 0.7196724483338237, 0.7195712725176655, 0.7194700967015072, 0.7193681147035468, 0.7192673419782896, 0.7191669723439332, 0.719065796527775, 0.7189654268934187, 0.7188630418045574, 0.7187626721702011, 0.7186618994449439, 0.7185558865379732, 0.7184551138127159, 0.7183543410874587, 0.7182531652713003, 0.718151989455142, 0.7180500074571816, 0.7179496378228254, 0.7178444310976568, 0.7177436583723995, 0.7176432887380433, 0.7175429191036871, 0.7174425494693308, 0.7173417767440735, 0.7172414071097173, 0.717140231293559, 0.7170394585683018, 0.7169382827521434, 0.7168379131177872, 0.7167310940290145, 0.7166303213037573, 0.7165299516694009, 0.7164287758532427, 0.7163267938552823, 0.7162264242209261, 0.7161260545865699, 0.7160252818613125, 0.7159249122269563, 0.7158245425926001, 0.7157213513219366, 0.7156209816875804, 0.715518596598719, 0.7154166146007587, 0.7153138264209962, 0.71521345678664, 0.7151086531523724, 0.7150078804271152, 0.7149071077018578, 0.7148063349766006, 0.7147047560695412, 0.714604386435185, 0.7145040168008288, 0.7144028409846704, 0.7142964249867988, 0.7141952491706405, 0.7140944764453832, 0.7139937037201259, 0.7138909155403635, 0.7137905459060072, 0.713689370089849, 0.7135817448192742, 0.7134801659122149, 0.7133789900960565, 0.7132766050071951, 0.7131758322819379, 0.7130742533748786, 0.7129726744678192, 0.7128710955607599, 0.7127654857446902, 0.712665116110334, 0.7125639402941757, 0.7124615552053144, 0.7123607824800571, 0.7122600097547997, 0.7121596401204435, 0.7120588673951863, 0.711958094669929, 0.7118577250355728, 0.7117565492194144, 0.7116561795850582, 0.7115554068598009, 0.7114538279527416, 0.7113530552274844, 0.7112526855931282, 0.7111482850497616, 0.7110458999609002, 0.7109443210538409, 0.7108431452376825, 0.7107419694215242, 0.710641599787168, 0.7105412301528118, 0.7104404574275545, 0.7103392816113961, 0.7102389119770399, 0.7101369299790796, 0.7100361572538223, 0.7099353845285651, 0.7098346118033078, 0.7097334359871494, 0.709629035443783, 0.7095286658094266, 0.7094282961750704, 0.7093275234498132, 0.7092190919974364, 0.7091159007267729, 0.7090155310924167, 0.7089151614580604, 0.7088147918237042, 0.7087136160075459, 0.7086132463731896, 0.7085096520116252, 0.7084056545591596, 0.7083024632884962, 0.7082012874723379, 0.7081009178379817, 0.7080005482036253, 0.7079001785692691, 0.7077985996622098, 0.7076950053006453, 0.7075942325753881, 0.7074930567592298, 0.7073914778521705, 0.7072903020360122, 0.7071875138562497, 0.7070641680405348, 0.7069637984061786, 0.7068626225900203, 0.706761849864763, 0.7066602709577037, 0.7065599013233475, 0.7064591285980901, 0.7063587589637339, 0.7062555676930705, 0.7061551980587142, 0.706054425333457, 0.7059528464263977, 0.7058512675193382, 0.705750494794081, 0.7056493189779227, 0.7055469338890613, 0.7054465642547051, 0.7053457915294478, 0.7052442126223885, 0.7051438429880322, 0.7050374269901606, 0.7049370573558043, 0.704836687721448, 0.7047363180870918, 0.7046319175437253, 0.7045303386366659, 0.7044263411842004, 0.7043259715498442, 0.7042243926427849, 0.7041191859176162, 0.7040172039196559, 0.7039152219216955, 0.7038108213783291, 0.7037088393803687, 0.7036052450188042, 0.7034988290209325, 0.7033980562956752, 0.703297283570418, 0.7031965108451607, 0.7030945288472004, 0.702993756121943, 0.7028921772148837, 0.7027914044896264, 0.7026910348552702, 0.7025898590391119, 0.7024894894047556, 0.7023891197703994, 0.7022887501360432, 0.702188380501687, 0.7020880108673306, 0.7019852226875682, 0.701884449962311, 0.7017840803279548, 0.7016829045117965, 0.7015821317865392, 0.7014789405158758, 0.7013785708815194, 0.7012777981562622, 0.7011762192492029, 0.7010754465239456, 0.7009750768895894, 0.700874304164332, 0.7007727252572727, 0.7006723556229165, 0.7005711798067582, 0.7004691978087979, 0.7003684250835406, 0.7002672492673823, 0.700166073451224, 0.7000636883623625, 0.6999633187280063, 0.6998629490936501, 0.6997625794592939, 0.6996622098249377, 0.6995610340087793, 0.6994606643744231, 0.6993598916491658, 0.6992595220148096, 0.699154718380542, 0.6990543487461858, 0.6989531729300275, 0.6988524002047701, 0.6987512243886119, 0.6986496454815525, 0.6985472603926911, 0.6984468907583349, 0.6983453118512756, 0.6982429267624142, 0.698142154037157, 0.6980409782209986, 0.6979393993139393, 0.697838626588682, 0.6977374507725237, 0.6976370811381675, 0.6975363084129101, 0.6974335202331478, 0.6973323444169894, 0.6972319747826332, 0.6971295896937718, 0.6970251891504053, 0.6969232071524449, 0.6968224344271877, 0.6967216617019304, 0.696619276613069, 0.6965185038878118, 0.6964181342534554, 0.6963165553463961, 0.6962149764393368, 0.6961142037140796, 0.6960110124434161, 0.6959106428090599, 0.69580100208398, 0.6956994231769206, 0.6955946195426531, 0.6954942499082968, 0.6953938802739406, 0.6952931075486833, 0.695192334823426, 0.6950871280982575, 0.6949867584639012, 0.6948851795568418, 0.6947827944679805, 0.6946812155609211, 0.6945800397447628, 0.6944780577468025, 0.6943772850215452, 0.6942769153871889, 0.6941709024802183, 0.6940701297549611, 0.6939697601206049, 0.6938689873953475, 0.6937686177609913, 0.693667038853932, 0.6935573981288521, 0.6934570284944958, 0.6933566588601395, 0.6932558861348823, 0.693155516500526, 0.6930547437752688, 0.6929531648682095, 0.6928515859611502, 0.6927512163267938, 0.6926504436015366, 0.6925492677853783, 0.6924488981510221, 0.6923477223348637, 0.6922433217914972, 0.69214254906624, 0.6920409701591806, 0.6919406005248243, 0.691838618526864, 0.6917338148925964, 0.6916322359855371, 0.6915282385330715, 0.6914274658078143, 0.691326289991656, 0.6912255172663987, 0.6911227290866363, 0.6910199409068739, 0.6909187650907156, 0.6908183954563594, 0.690717219640201, 0.6906140283695377, 0.6905128525533794, 0.690412482919023, 0.6903117101937658, 0.6902113405594096, 0.6901101647432513, 0.690009795108895, 0.6899094254745388, 0.6898086527492815, 0.6897074769331232, 0.6896050918442618, 0.6895043191190046, 0.6894015309392421, 0.6893003551230839, 0.6891995823978265, 0.6890971973089651, 0.6889948122201037, 0.6888944425857475, 0.6887940729513913, 0.6886916878625299, 0.6885913182281737, 0.6884897393211143, 0.688388966595857, 0.6882861784160946, 0.6881858087817384, 0.6880822144201739, 0.6879798293313125, 0.6878778473333521, 0.6877722375172826, 0.6876706586102231, 0.6875698858849659, 0.6874683069779066, 0.6873647126163421, 0.6872639398910848, 0.6871631671658276, 0.6870615882587683, 0.686961218624412, 0.6868608489900557, 0.6867596731738974, 0.686656481903234, 0.6865553060870757, 0.6864549364527195, 0.686352148272957, 0.6862513755476998, 0.6861506028224424, 0.6860502331880862, 0.685949460462829, 0.6858490908284727, 0.6857467057396114, 0.6856455299234531, 0.6855443541072948, 0.6854431782911364, 0.6853415993840771, 0.6852400204770178, 0.6851388446608595, 0.6850380719356022, 0.6849348806649388, 0.6848175812127393, 0.6847172115783831, 0.6846164388531257, 0.6845148599460664, 0.6844132810390071, 0.6843129114046509, 0.6842081077703833, 0.684106528863324, 0.6840061592289677, 0.6839057895946115, 0.6838042106875521, 0.6837034379622948, 0.6836006497825324, 0.68349786160277, 0.6833966857866117, 0.6832943006977503, 0.6831890939725818, 0.6830871119746214, 0.6829831145221559, 0.6828819387059976, 0.6827811659807403, 0.682678780891879, 0.6825784112575227, 0.6824752199868592, 0.6823692070798886, 0.6822615818093138, 0.6821583905386503, 0.6820539899952839, 0.6819536203609275, 0.6818528476356703, 0.6817500594559079, 0.6816488836397496, 0.6815464985508882, 0.6814449196438289, 0.6813376974641552, 0.6812373278297988, 0.6811333303773334, 0.6810297360157689, 0.6809289632905117, 0.6808277874743534, 0.680727014749096, 0.6806262420238388, 0.6805145858442537, 0.6804134100280954, 0.6803130403937392, 0.6802042058504614, 0.680103433125204, 0.6799937924001241, 0.6798922134930648, 0.6797918438587086, 0.6796914742243524, 0.679589089135491, 0.6794883164102337, 0.6793863344122734, 0.679283949323412, 0.6791726962347279, 0.6790699080549655, 0.6789618796934896, 0.6788611069682324, 0.6787554971521628, 0.6786510966087963, 0.678550323883539, 0.6784499542491828, 0.6783471660694204, 0.6782411531624497, 0.6781319155282708, 0.6780311428030135, 0.6779291608050532, 0.6778255664434887, 0.6777223751728252, 0.677622005538469, 0.6775180080860035, 0.6774071580882205, 0.6773007420903487, 0.6772003724559925, 0.6770971811853291, 0.6769968115509729, 0.6768960388257156, 0.6767940568277552, 0.676693687193399, 0.6765929144681417, 0.6764905293792803, 0.676389756654023, 0.6762857592015575, 0.6761801493854879, 0.6760773612057255, 0.6759761853895672, 0.6758721879371017, 0.6757685935755372, 0.6756649992139727, 0.6755597924888042, 0.6754590197635468, 0.6753578439473886, 0.6752570712221313, 0.6751562984968741, 0.6750551226807158, 0.6749543499554584, 0.6748531741393001, 0.6747519983231418, 0.6746516286887856, 0.6745500497817263, 0.6744464554201618, 0.6743428610585973, 0.6742384605152308, 0.6741380908808745, 0.6740377212465183, 0.67393654543036, 0.6738353696142017, 0.6737321783435383, 0.6736281808910728, 0.6735270050749145, 0.6734185736225377, 0.6733182039881814, 0.673216625081122, 0.6731158523558648, 0.6730134672670034, 0.6729062450873297, 0.6728042630893692, 0.672703490364112, 0.6726023145479537, 0.6725015418226964, 0.672398350552033, 0.6722975778267757, 0.6721927741925081, 0.6720903891036467, 0.6719900194692905, 0.6718892467440333, 0.671788070927875, 0.6716808487482012, 0.671580479113845, 0.6714797063885877, 0.6713781274815284, 0.6712777578471721, 0.6711761789401128, 0.6710754062148555, 0.6709734242168951, 0.6708694267644296, 0.6707666385846672, 0.6706549824050821, 0.6705538065889238, 0.6704534369545676, 0.6703522611384093, 0.6702442327769336, 0.6701430569607753, 0.6700422842355179, 0.6699378836921515, 0.669834289330587, 0.6697323073326266, 0.6696307284255673, 0.6695243124276956, 0.6694219273388342, 0.6693207515226759, 0.6692191726156166, 0.6691175937085572, 0.6690111777106855, 0.6689087926218241, 0.6688072137147648, 0.6687052317168044, 0.6686040559006462, 0.6685020739026858, 0.6684004949956265, 0.6682985129976661, 0.6681961279088047, 0.6680848748201207, 0.6679841020948634, 0.6678780891878927, 0.6677688515537139, 0.6676656602830504, 0.6675644844668921, 0.6674620993780307, 0.6673484277439405, 0.6672472519277822, 0.667146479202525, 0.6670457064772677, 0.6669352595703857, 0.66682723120891, 0.6667216213928403, 0.666620445576682, 0.6665192697605237, 0.6664160784898603, 0.6663116779464937, 0.6662109052212365, 0.6661101324959792, 0.6660057319526126, 0.6659017345001471, 0.6657920937750672, 0.6656852746862945, 0.665581277233829, 0.6654805045085718, 0.6653773132379083, 0.6652741219672448, 0.6651729461510866, 0.6650697548804231, 0.6649669667006607, 0.6648633723390962, 0.6647593748866307, 0.664652958888759, 0.6645481552544914, 0.6644397238021146, 0.6643385479859563, 0.6642381783516, 0.6641313592628274, 0.664029377264867, 0.6639277983578077, 0.6638133205419154, 0.6637060983622417, 0.6635952483644587, 0.6634932663664983, 0.663391284368538, 0.6632876900069735, 0.663184901827211, 0.6630833229201517, 0.6629813409221914, 0.6628773434697258, 0.6627729429263594, 0.6626709609283989, 0.6625697851122406, 0.6624661907506761, 0.6623654180254189, 0.6622594051184483, 0.662158632393191, 0.6620534256680224, 0.6619458003974477, 0.6618385782177739, 0.6617257127654858, 0.6616253431311295, 0.6615249734967733, 0.6614028369537615, 0.6613016611376031, 0.6611996791396427, 0.6610948755053753, 0.6609876533257015, 0.6608872836913452, 0.6607857047842859, 0.6606837227863256, 0.6605805315156621, 0.6604765340631966, 0.660370521156226, 0.6602689422491667, 0.660149224251561, 0.6600420020718872, 0.6599376015285207, 0.6598323948033521, 0.6597259788054805, 0.6596155318985985, 0.659512340627935, 0.6594022968119541, 0.6592974931776865, 0.6591963173615282, 0.6590947384544689, 0.6589879193656961, 0.6588839219132306, 0.65877790900626, 0.6586727022810914, 0.6585638677378135, 0.6584614826489522, 0.6583570821055856, 0.6582518753804171, 0.6581511026551597, 0.6580471052026943, 0.657945929386536, 0.6578439473885755, 0.6577375313907039, 0.6576258752111188, 0.6575251024858616, 0.6574146555789796, 0.6573034024902956, 0.6572002112196321, 0.6570954075853646, 0.6569938286783052, 0.656893459043949, 0.6567918801368897, 0.6566911074116324, 0.6565875130500679, 0.6564855310521076, 0.6563827428723451, 0.6562759237835725, 0.6561703139675028, 0.6560634948787301, 0.6559615128807698, 0.655853887610195, 0.6557531148849377, 0.655647101977967, 0.6555330272529758, 0.6554229834369949, 0.6553177767118263, 0.6552069267140432, 0.6550960767162602, 0.6549900638092896, 0.6548888879931314, 0.6547768287226452, 0.6546647694521591, 0.6545619812723967, 0.6544595961835353, 0.654357614185575, 0.6542511981877033, 0.654149619280644, 0.654039172373762, 0.6539359811030986, 0.653831580559732, 0.6537291954708706, 0.653623988745702, 0.6535220067477416, 0.6534208309315834, 0.6533103840247014, 0.6532035649359287, 0.653096745847156, 0.6529939576673935, 0.6528863323968188, 0.6527847534897595, 0.6526682602193621, 0.6525598287669853, 0.652459459132629, 0.6523514307711532, 0.6522421931369743, 0.6521385987754098, 0.6520277487776268, 0.6519229451433592, 0.6518177384181907, 0.6517129347839231, 0.6516065187860515, 0.6514972811518726, 0.6513957022448132, 0.6512945264286549, 0.6511873042489812, 0.6510816944329115, 0.6509724567987327, 0.6508676531644652, 0.6507588186211872, 0.6506548211687218, 0.6505504206253552, 0.6504311057186506, 0.650324286629878, 0.6502182737229073, 0.6501166948158479, 0.6500131004542834, 0.64990990918362, 0.6498014777312432, 0.6496974802787777, 0.6495854210082915, 0.6494826328285291, 0.6493725890125482, 0.6492669791964786, 0.6491633848349141, 0.6490577750188445, 0.6489517621118739, 0.648842927568596, 0.6487401393888336, 0.6486381573908733, 0.6485305321202984, 0.6484297593950412, 0.6483181032154561, 0.6482100748539803, 0.6481060774015148, 0.6480012737672473, 0.6478992917692868, 0.6477932788623162, 0.6476759794101168, 0.64756754795774, 0.6474530701418477, 0.6473522974165904, 0.6472511216004321, 0.6471459148752635, 0.6470330494229753, 0.6469246179705985, 0.6468089308820032, 0.6467069488840428, 0.6466013390679732, 0.6464775901613573, 0.6463594845273558, 0.6462550839839892, 0.6461397999862949, 0.646030159261215, 0.6459201154452341, 0.6458153118109665, 0.6457032525404804, 0.6455940149063015, 0.6454859865448257, 0.6453856169104695, 0.6452852472761132, 0.645171172551122, 0.6450276721903556, 0.6449260932832963, 0.6448233051035339, 0.644714470560256, 0.6446124885622957, 0.6445080880189291, 0.6444000596574534, 0.6442783262053425, 0.6441199114812381, 0.6440054336653459, 0.6438841033041361, 0.6437788965789675, 0.6436740929446999, 0.6435531656743912, 0.6434479589492227, 0.6433306594970232, 0.6432109414994175, 0.6431061378651499, 0.6429831951403361, 0.6428683142335428, 0.6427631075083742, 0.6426304906019357, 0.6425063386044186, 0.6423962947884377, 0.642289072608764, 0.6421620989749398, 0.642053264431662, 0.6419516855246027, 0.6418448664358299, 0.6417404658924634, 0.6416324375309876, 0.6415292462603241, 0.6414276673532648, 0.6413087555374613, 0.6411991148123813, 0.6410854431782911, 0.6409629035443782, 0.6408508442738922, 0.6407448313669215, 0.6406424462780602, 0.6405332086438813, 0.6404284050096137, 0.6403256168298513, 0.6402212162864848, 0.6401188311976234, 0.6400180584723661, 0.6399076115654841, 0.6397878935678785, 0.6396726095701841, 0.6395657904814115, 0.6394368013930821, 0.6393287730316064, 0.6392183261247244, 0.639103445217931, 0.6390010601290697, 0.638894644131198, 0.6387805694062068, 0.6386765719537413, 0.6385584663197398, 0.6384411668675403, 0.6383234643244398, 0.6382186606901722, 0.6381070045105872, 0.6379953483310021, 0.6378748241515945, 0.6377462381541662, 0.6376365974290862, 0.6375330030675218, 0.6374322303422645, 0.6373306514352052, 0.6371919881652511, 0.6370831536219733, 0.6369662572606749, 0.6368348496269394, 0.636732464538078, 0.6366046847224518, 0.6364930285428667, 0.636385806363193, 0.6362842274561337, 0.6361794238218661, 0.6360697830967862, 0.6359641732807165, 0.635844858374012, 0.6357283651036145, 0.6356090501969099, 0.6354897352902052, 0.6353821100196305, 0.635277306385363, 0.6351704872965902, 0.6350660867532237, 0.6349616862098572, 0.6348568825755896, 0.6347484511232128, 0.6346456629434504, 0.6345360222183705, 0.6344142887662597, 0.6342977954958623, 0.6341974258615061, 0.6340962500453478, 0.6339874155020698, 0.6338830149587034, 0.6337685371428111, 0.6336584933268301, 0.6335569144197708, 0.6334517076946022, 0.63333722987871, 0.633227186062729, 0.6331243978829666, 0.6330187880668969, 0.6329107597054212, 0.6328103900710649, 0.6327039740731932, 0.6325834498937856, 0.6324746153505076, 0.6323480448075846, 0.6322347762643954, 0.6321340035391381, 0.6320332308138809, 0.6319227839069989, 0.6317821051825397, 0.6316273182765445, 0.631522917733178, 0.6313991688265621, 0.6312971868286017, 0.631191173921631, 0.6310484797426668, 0.6309299710177643, 0.630802191202138, 0.630691744295256, 0.6305607397524216, 0.6304490835728365, 0.630332187211538, 0.6301991672141984, 0.6300899295800196, 0.629969808491513, 0.6298452534030949, 0.6297444806778376, 0.6296175070440135, 0.6294897272283873, 0.6293873421395259, 0.6292398108697492, 0.6291229145084508, 0.6290056150562513, 0.6288661456044953, 0.6287480399704938, 0.6285976870644099, 0.6284783721577053, 0.6283675221599223, 0.6282413547079002, 0.6280845523473999, 0.6279559663499715, 0.6278249618071371, 0.6277008098096202, 0.6275665805395775, 0.6274105843608793, 0.6273069899993148, 0.6271840472745008, 0.6270397407319325, 0.626923247461535, 0.6267684605555399, 0.6266495487397363, 0.626520156560506, 0.6263972138356921, 0.6262791082016905, 0.6261638242039962, 0.6260376567519741, 0.6259352716631128, 0.6257937867568515, 0.6256817274863654, 0.6255350023983909, 0.6254318111277274, 0.6253032251302991, 0.6251831040417924, 0.6250690293168012, 0.6249533422282059, 0.6248263685943817, 0.6247251927782235, 0.624608296416925, 0.6244587496926431, 0.6243337915133241, 0.6242322126062648, 0.6240979833362221, 0.6239968075200638, 0.6238831358859737, 0.6237589838884566, 0.6236122588004821, 0.6234977809845899, 0.6233639548054482, 0.6232305317172075, 0.6231007364470762, 0.6229802122676685, 0.6228407428159124, 0.6227254588182181, 0.6226238799111588, 0.6225106113679696, 0.6223836377341454, 0.6222796402816799, 0.6221450079207362, 0.6219978797418606, 0.6218584102901045, 0.6217435293833112, 0.6216032537497531, 0.6214932099337722, 0.621379538299682, 0.6212574017566701, 0.6211473579406892, 0.621020384306865, 0.6209159837634985, 0.620770871039128, 0.6206152779513308, 0.6204681497724552, 0.6203572997746721, 0.6202500775949984, 0.6201432585062258, 0.6199800066913089, 0.619855854693792, 0.6197329119689782, 0.6195761096084778, 0.6194406710657321, 0.6193040232502832, 0.6191851114344796, 0.6190468512554266, 0.6189384198030498, 0.6188118492601267, 0.61869172817162, 0.6185659638104989, 0.6184393932675758, 0.6182571961803106, 0.6181479585461317, 0.618041945639161, 0.6179073132782174, 0.6177585727357376, 0.6176372423745279, 0.6174627040143823, 0.6173288778352406, 0.6172071443831298, 0.6170789614766026, 0.6169423136611537, 0.6168133245728245, 0.6166782891209797, 0.6165569587597699, 0.6164404654893725, 0.6163396927641153, 0.6162094944030828, 0.6160962258598937, 0.6159692522260695, 0.6158451002285525, 0.6157217544128376, 0.6156201755057783, 0.6154980389627664, 0.615324306784423, 0.6151892713325782, 0.6150292442448697, 0.6148873562477074, 0.6147406311597329, 0.6145910844354511, 0.6144802344376681, 0.6143431835313181, 0.614173885352886, 0.6140287726285154, 0.6138268240870999, 0.6136647815448862, 0.6135632026378268, 0.6134072064591286, 0.6132995811885539, 0.6131468097370638, 0.6129775115586316, 0.6127997484712777, 0.612665519201235, 0.6124913839319905, 0.6123099930265274, 0.6121330361209757, 0.6119306844886591, 0.6117573554012166, 0.6115550037688999, 0.6113711943180307, 0.6111898034125676, 0.6110132495979168, 0.61090481814554, 0.6107903403296477, 0.6106609481504174, 0.6104638366998142, 0.6103283981570684, 0.6101304805246631, 0.6099462679828929, 0.6097842254406791, 0.609643949807121, 0.6095318905366349, 0.6093371976314379, 0.6092251383609518, 0.6090804287274824, 0.6088450236412813, 0.6086225174639133, 0.6084443512856584, 0.6082149925629728, 0.6081097858378043, 0.6079961142037141, 0.6078925198421496, 0.607703067118666, 0.6075986665752994, 0.607481770214001, 0.607288286581507, 0.6070863380400914, 0.6068606071355152, 0.6066171402312935, 0.6064224473260965, 0.6062217080573841, 0.6061213384230277, 0.6059774349713604, 0.6057408206124563, 0.6055328257075253, 0.6053393420750314, 0.6051055493524344, 0.6049797849913134, 0.6048378969941511, 0.6046153908167831, 0.6043852259122955, 0.6041732000983542, 0.6039918091928911, 0.6037535824703829, 0.6036451510180061, 0.6034843177484954, 0.6033694368417022, 0.6032210993901235, 0.6031009783016168, 0.6029437728502155, 0.6026946626733795, 0.6025817972210913, 0.6024294288605023, 0.6022810914089236, 0.60211904886671, 0.6018949303257377, 0.6016571066941306, 0.6015188465150776, 0.6012915032468972, 0.6011854903399265, 0.6009928128892347, 0.6008698701644207, 0.6007142770766235, 0.6006018147152364, 0.6004026878101281, 0.6000874707255233, 0.599958884728095, 0.5997726567318196, 0.5996460861888965, 0.5994739663741571, 0.5993578761946606, 0.5991849501981191, 0.5990543487461858, 0.5988705392953165, 0.598725023480045, 0.5985291213021449, 0.5983944889412012, 0.5982042300359154, 0.5980933800381324, 0.5979039273146487, 0.597714474591165, 0.5974697984142404, 0.5972847796906681, 0.5970586456951907, 0.5969453771520016, 0.596729723519951, 0.5965958973408093, 0.5963810498905608, 0.5961770858946401, 0.5959900517165626, 0.5957691579027986, 0.5955273033621812, 0.5953737257288891, 0.5951270340974594, 0.5949581390099281, 0.5947416791960755, 0.5945655284723258, 0.5943107750228754, 0.5941600190258906, 0.5939230015760855, 0.5937565250339604, 0.5934900819483802, 0.593292567406876, 0.5930132254124628, 0.592836268506911, 0.592559345057904, 0.5924061705155129, 0.5921348903391204, 0.591909159434544, 0.5916439256216669, 0.5914246441715071, 0.5911727123583639, 0.5910086543616451, 0.5907152041856959, 0.5905265576440143, 0.5901843334690406, 0.5899803694731199, 0.5896869192971707, 0.5895091562098169, 0.5891217858539279, 0.5889174187671061, 0.5885582647742893, 0.5883498667784572, 0.5880060302398794, 0.5877726406081836, 0.5874267886151006, 0.5871897711652955, 0.5868148966273384, 0.586600452267991, 0.5862574219112152, 0.5860147611887957, 0.5855165408351237, 0.5852509039313456, 0.5848425728486031, 0.5845067981280458, 0.5840952423180952, 0.5838279930507129, 0.5834498937855476, 0.5831669239730252, 0.5827110281639613, 0.5823651761708782, 0.5819201638161422, 0.5816392094581249, 0.5811212376503025, 0.5807645022028918, 0.580227585122721, 0.5798559353119722, 0.5793073285956716, 0.5790033980562956, 0.5784410862493601, 0.5780432355300443, 0.5774200569970535, 0.5770439731863932, 0.5764332904713342, 0.5760572066606741, 0.5753562315837845, 0.5749539468645575, 0.5743440703313004, 0.5739619401571249, 0.5732129972630128, 0.5727647601810685, 0.5720234760140759, 0.5715716111140223, 0.5707424531306055, 0.5701837691417792, 0.5693312318861027, 0.5687503778977198, 0.567701132282341, 0.5670807753856573, 0.5660254834067631, 0.5654244748733287, 0.564223667079163, 0.5635408310928197, 0.5623734798434394, 0.5616152658586038, 0.5601955797051793, 0.5593631969945543, 0.5578560401156065, 0.5568789477715119, 0.5551811288963774, 0.5541875098253407, 0.5521611718658674, 0.5508700717098713, 0.5483838070323238, 0.5470261968776579, 0.5441372443899823, 0.5425740578757916, 0.5388470794048766, 0.5367417356288017, 0.5319425353611493, 0.52900118105634, 0.521643562839856, 0.5168367038450841, 0.5019203250525026, 0.4893962907575287], \\\"y\\\": [0.5008417215823903, 0.5024190407067982, 0.5035854071830178, 0.5049349289631975, 0.5062350402916233, 0.5076781209979742, 0.5088463705690243, 0.5102556871451072, 0.5110778626059312, 0.5123233485841463, 0.5135287490783126, 0.5147820526021992, 0.5159066371428566, 0.5173373323117983, 0.518776047795841, 0.5200331170443016, 0.5211984367986522, 0.5222588687654448, 0.5234487779052325, 0.5245441503765981, 0.5257945043325317, 0.5267471600308568, 0.5281228986591497, 0.5295838228224091, 0.5310184943634189, 0.5322838838401106, 0.5334283394309579, 0.5344063505474606, 0.5357951745681568, 0.5369757151887119, 0.5386831937049841, 0.5398671406674043, 0.5408352790552066, 0.5420283124088426, 0.5433689227368096, 0.5446164995894635, 0.5457194003328617, 0.5467931329711039, 0.5481487483158864, 0.5495821785211905, 0.5508322923038586, 0.5519769894356139, 0.5532799147996361, 0.5543705631104713, 0.5557705839304286, 0.5566341542252333, 0.5576760070036026, 0.5588378978919105, 0.5602344790834, 0.5616594992539701, 0.5628624436661538, 0.5643513622589462, 0.5654380633151389, 0.5666599073639966, 0.5678300606871212, 0.5689125144718061, 0.5699882692062807, 0.5712855243044903, 0.572327680796797, 0.57343273453462, 0.5745149491480906, 0.5756037983989684, 0.5765936763656142, 0.5778528687426518, 0.5791485195429745, 0.5805532654522959, 0.5816943284291104, 0.5827017252065886, 0.5839395707131806, 0.5851192404943412, 0.5863156330793652, 0.5873824424098497, 0.5888119902051507, 0.5900313658226332, 0.591317958566391, 0.5927867011588457, 0.5943573211073359, 0.595633912888411, 0.5969984866595891, 0.5983087812830544, 0.599501807505439, 0.6005330906519074, 0.6018939445208739, 0.602952686250093, 0.6039988629311717, 0.6048889029235911, 0.6060105152763212, 0.6070847415518487, 0.6082021143090279, 0.6094455852156058, 0.610518185975752, 0.611729394333583, 0.6128567230173045, 0.6140852594902252, 0.6152697850753011, 0.6165335853678854, 0.617607970980642, 0.6187881828738766, 0.6202277781351127, 0.6214766799137338, 0.6224698681044876, 0.6235271038864124, 0.6248465347336964, 0.6258243954522059, 0.6269649775048322, 0.628063891632235, 0.6293273439361369, 0.6304733652423823, 0.6318803938801094, 0.6330309727659998, 0.6341413259311273, 0.6355113897619267, 0.6367042507891907, 0.6381642716809236, 0.6392986260864216, 0.6409233050640473, 0.6422548747188503, 0.6434846854283084, 0.6445982709481233, 0.646006253682218, 0.6477171759537751, 0.6493613496387662, 0.6506261418737403, 0.6517643248714214, 0.6533807105750848, 0.6548499729385497, 0.6561137267373124, 0.65755531820055, 0.6589324682089548, 0.660440103583604, 0.6618605227510664, 0.6631746130521361, 0.6648355871115065, 0.6661440531900594, 0.6676568378785497, 0.6691466446774077, 0.6713562673582362, 0.6730688300791086, 0.6752395876535873, 0.6772614256637987, 0.6793717908595385, 0.6813749648703359, 0.6836392871499397, 0.6867022984713516, 0.6883676377672869, 0.6898240543781026, 0.691072872019759, 0.6922398729901844, 0.6929211235270414, 0.6939564403931237, 0.6952404751413096, 0.6962664939767856, 0.6972476927497321, 0.698307929487011, 0.6993581102497826, 0.7003399976221429, 0.7012926445227562, 0.7022451374478017, 0.7032937180642318, 0.7042309829010904, 0.7051876275123055, 0.7060681417798098, 0.7069262929886977, 0.7077086824790225, 0.7084362185465386, 0.7092950348041932, 0.7101703176037019, 0.7110988914627284, 0.7119334977171623, 0.7128585916992772, 0.7137184304238134, 0.7144969843730967, 0.715269910716666, 0.7160881316015786, 0.7169187534636591, 0.7177719286535349, 0.7184551639873283, 0.7193162961323132, 0.7199894566371796, 0.7206085347859507, 0.7213180362447597, 0.722132608801342, 0.7229531989226392, 0.7238472380905072, 0.7245441983541351, 0.7254595618270744, 0.7262063370004, 0.7270820743323538, 0.7277754752944932, 0.728476042665853, 0.7291233407036372, 0.7300722304177593, 0.7307822873134797, 0.7312866803546999, 0.732105305681805, 0.7327677170743835, 0.7335145932049602, 0.7341869678450528, 0.7350162808850537, 0.7357347446935694, 0.7364041997823596, 0.7370933792424053, 0.7379429640344904, 0.7386724799986791, 0.7393404499235147, 0.7401012986566696, 0.7407111333909367, 0.7415167305780338, 0.7422427411912558, 0.7429703308207437, 0.7435899978377438, 0.7442416453429846, 0.7449709862123609, 0.7457042258718374, 0.7464588120368428, 0.7472826191833127, 0.7479081275906961, 0.7486220650703043, 0.7493147971554404, 0.7501237832821998, 0.7509707959233038, 0.7517274959337802, 0.7524492272890054, 0.7531022115067384, 0.7536468332315477, 0.7542658888455948, 0.7549548553109054, 0.7556918267156244, 0.7563033290600004, 0.7569159534376426, 0.7575581524458187, 0.758223560012775, 0.7588517147191127, 0.759585949102477, 0.7602893429942758, 0.7610121769248293, 0.7617690037581817, 0.7624818506513371, 0.7632224021643993, 0.7638363090431475, 0.7644094757287703, 0.7650728721651378, 0.765707446972008, 0.766312283610539, 0.7670197057466788, 0.7676851616444641, 0.7683856710554258, 0.7689429513039759, 0.7696689724502741, 0.7703298699846665, 0.7710970924466775, 0.7718284589988995, 0.7724958416603049, 0.7732665035465591, 0.7739333109890426, 0.7745648464135255, 0.7752433826952214, 0.7760033254625353, 0.7766530191173152, 0.7773590005102867, 0.7778652076236433, 0.7784201423317643, 0.7790101141216916, 0.7796607997064159, 0.7803975526907571, 0.7809423719305834, 0.7814674554131856, 0.7820647519759, 0.7826152204475008, 0.7831251207745846, 0.7837900294887152, 0.7842469556205353, 0.784819870676383, 0.7853309724592658, 0.7859338054222826, 0.7865677103599512, 0.7871187545758317, 0.7875776702723122, 0.7881268614638854, 0.7886445918710169, 0.7893196290764337, 0.7898584242711423, 0.7904338243457546, 0.7909615059492926, 0.791528109500803, 0.7921190476272263, 0.7926197087814514, 0.7931066510992054, 0.7936429299327972, 0.7941496785672081, 0.7947692624944955, 0.7952241690174866, 0.7957711992595714, 0.7963480010092596, 0.7967231937361989, 0.7972653850213982, 0.7978545153867231, 0.7983174692641242, 0.7988483277717858, 0.7992856599834555, 0.7997925354447565, 0.8002820796998567, 0.800749207776092, 0.8012035945612314, 0.8016337421752807, 0.8021399378370125, 0.8026726496135006, 0.8032356278696252, 0.8037469976428395, 0.8041663345123065, 0.8046320855686071, 0.805123283584807, 0.8055731320295677, 0.8060481669782972, 0.8065954633031563, 0.8070834705677044, 0.8075316659621783, 0.80803585713266, 0.8084442829111321, 0.8089050406667796, 0.8095016098301653, 0.8100755441872308, 0.8105657346277815, 0.8110800471280963, 0.8114790335342592, 0.8119502762587242, 0.8124591915999724, 0.8128908384406371, 0.8134185095183536, 0.8138695579398898, 0.8143013327835514, 0.8147960863174872, 0.8152859791284436, 0.8157284808245112, 0.8161954395261468, 0.8166970588161981, 0.817212960821549, 0.8176609426220302, 0.8181229417790878, 0.818553056143404, 0.8190013383991945, 0.8194607566053973, 0.8198421829098501, 0.8202545537720414, 0.8207347760442879, 0.8211862301726551, 0.8216149989706392, 0.8220363435909914, 0.8223575427299099, 0.8227892853947699, 0.8232142183042511, 0.8236701619596474, 0.8240997130198007, 0.8245752503252896, 0.8250465556732315, 0.8254093574317323, 0.8257655149118971, 0.826256198248619, 0.8266430162325134, 0.8270903228908937, 0.8275316873598251, 0.8279778159684045, 0.828383409756299, 0.8288582891810143, 0.8292739546505938, 0.8296961505433634, 0.8300826934886367, 0.8305052288168328, 0.8308869592280678, 0.8312555158868454, 0.8317260770849586, 0.8320963992689122, 0.8324722289744336, 0.8329287851812845, 0.8333324211000293, 0.8336741380852505, 0.8340862838558324, 0.8343653460096139, 0.8347403086545254, 0.8351024284873834, 0.835414727389662, 0.8358249736380707, 0.8361643721162377, 0.8365722800914043, 0.8369872452461354, 0.8373802722694221, 0.8377575053223766, 0.8381830384183382, 0.8385849720302018, 0.8390101070614011, 0.8395051272146522, 0.8398529061751847, 0.8402350613089616, 0.8406229782236475, 0.8410808707970299, 0.8413824325616759, 0.8417753953712294, 0.8421389234847653, 0.8424133601344742, 0.8427618218740934, 0.843191872546072, 0.8435321958400911, 0.8439213520420928, 0.8443003643087905, 0.8446544119775251, 0.8450452276754835, 0.8454062833056023, 0.8457488661202338, 0.8460213878291651, 0.8463410551064519, 0.8466700586475226, 0.8470935074105468, 0.8474067190525676, 0.8477334161424924, 0.8480635999306264, 0.8483466277504742, 0.8487369984031636, 0.8490618403550405, 0.8494151986680096, 0.8497117931491421, 0.8500395040446754, 0.8503977207226495, 0.8506910665004063, 0.8510760743602396, 0.851322576207759, 0.8516020141234633, 0.8520083265671221, 0.852330639542566, 0.8526819231920544, 0.8530314195601615, 0.8533999681163692, 0.8537139981086382, 0.8540440145648881, 0.854349973944135, 0.8545870052930461, 0.8548743639815527, 0.8552368937207648, 0.8555026128914717, 0.8558596876841018, 0.8561899820871357, 0.8564907821758765, 0.8567731333931219, 0.8570716116545087, 0.8573677690249, 0.8576593275925621, 0.8579807095966614, 0.8582386276472801, 0.8585732682205115, 0.8589235501278563, 0.8592161745091702, 0.8595491865341196, 0.8598227822435964, 0.8600884446818096, 0.8603324251302454, 0.8606181476858904, 0.8609227871581595, 0.8611857638327381, 0.8615142203224907, 0.8618695894618486, 0.8620745363245608, 0.8623479929465525, 0.8626618853467137, 0.8629809480821599, 0.8632564893200385, 0.8635500749068105, 0.8638799006150998, 0.8640861860597022, 0.8643606943382837, 0.8646284918840366, 0.8649231703027991, 0.865210216591432, 0.865505039361875, 0.8657751195035458, 0.8660095202278967, 0.8661797836828371, 0.866360710925144, 0.8666261676719781, 0.8669350627810404, 0.8671846733523585, 0.8675074827662929, 0.8678266512729959, 0.8681511341213396, 0.8683663225567639, 0.8686045831286789, 0.8688478633057898, 0.8691010428693218, 0.8693576756884248, 0.8696330585089156, 0.8700341875198193, 0.8702943484132108, 0.8706401039772214, 0.870860383559231, 0.8711013561424423, 0.871322929672853, 0.8715951727386425, 0.871862011492852, 0.8721011375419017, 0.8723778606564486, 0.8725523574252436, 0.8728419923593752, 0.873105384412313, 0.8733432533565395, 0.8736040615045119, 0.8738762760636807, 0.8740853020507637, 0.8743274143073488, 0.8745173842683882, 0.8747859704686863, 0.8750572119753754, 0.8752840747740045, 0.8755134904586896, 0.87581433684472, 0.8760983943188865, 0.8762992843586366, 0.8765206172507474, 0.8767570046229576, 0.8770117995929884, 0.8772435204530395, 0.877532281205165, 0.8778236007028757, 0.8780685645517985, 0.878301751461962, 0.8784866796608479, 0.8786572928787242, 0.8788909356400236, 0.879105141245901, 0.8793421281381023, 0.8795548818462767, 0.8797778300223346, 0.8799788651295805, 0.8802096710127237, 0.8804647785609689, 0.8806158199782855, 0.8808271017564078, 0.8811044258240744, 0.8813333542844348, 0.8815431403301048, 0.8817685847877995, 0.8820195157403271, 0.8822706453239918, 0.8825515467468035, 0.8827214861192098, 0.8829825490825517, 0.8831620658012472, 0.8833082282427146, 0.8834743699673773, 0.8838008420125947, 0.8839605430732593, 0.8841507862742892, 0.8844328941565361, 0.8846538343196622, 0.884872244906668, 0.8850476764522791, 0.8852116671443963, 0.885460849287198, 0.8856818415617507, 0.8858840590494118, 0.88608536144533, 0.8862903104431882, 0.886537198210042, 0.8867157418207746, 0.8869258651027323, 0.8870979192239279, 0.8872826613917447, 0.887485529301156, 0.8876557177905343, 0.8878538632177636, 0.8880606975981085, 0.8882875736785548, 0.888484860049525, 0.8887232302038424, 0.8889296437052175, 0.8890848510340607, 0.8892829803826031, 0.8894993501156412, 0.889684685348586, 0.8899108305940682, 0.890067997491997, 0.8902391420757597, 0.8903936559418113, 0.890611546929099, 0.8908320820850785, 0.8910458857133274, 0.8912386127766952, 0.8914356967093748, 0.8916037355807351, 0.8917824839841291, 0.8919813627760201, 0.8921607885415063, 0.8923462246128655, 0.8925383398500671, 0.8927284790858234, 0.8929347510429538, 0.8931262198476501, 0.8933507562745636, 0.8935542736072579, 0.8937576135102429, 0.8939714937569867, 0.8941489163150981, 0.8943562527377974, 0.8945385814425272, 0.8947270939776385, 0.8949276396196242, 0.8950930537626541, 0.8952927692431433, 0.8954616383189191, 0.8956020962632948, 0.8957862141778696, 0.895998672854643, 0.8961683243528016, 0.8963308555427972, 0.8965064889738628, 0.8966822305950118, 0.8968551871426578, 0.8970908534929889, 0.8972770873813833, 0.8974496738574516, 0.8976089549514773, 0.8977555958642768, 0.8979357339471224, 0.8980633569449519, 0.8982284429022103, 0.8983484457922669, 0.8985173413666087, 0.8986322773167277, 0.8987875287982651, 0.898982534603701, 0.8991051327318962, 0.8993029058416572, 0.8994799548632425, 0.8996398948663233, 0.8998621094537126, 0.9000128966427362, 0.9001725729844985, 0.9003140749397415, 0.9004541104136107, 0.9006001521695529, 0.9007557851474614, 0.9008770657720117, 0.901009063449019, 0.9011446312716856, 0.9013049811584934, 0.9014800882481522, 0.9016608046681197, 0.9018360895090075, 0.9020181309808892, 0.9022054299596929, 0.9023225712907934, 0.9024630108390728, 0.902599440095518, 0.9027687308366765, 0.9029458152021451, 0.9030983691205585, 0.9032730409040356, 0.9034379436900566, 0.9035863446782054, 0.9037422084113428, 0.9038763787027492, 0.904025762000559, 0.9041939954301417, 0.9043616684667567, 0.9045323410041199, 0.9047135192005069, 0.9048370538974783, 0.9050160727485259, 0.9051364369913857, 0.9052931897551483, 0.9053944016187301, 0.9055450009198034, 0.9056916866457655, 0.9058093665926474, 0.905948315734572, 0.9060706159123683, 0.9062208592732383, 0.9063763936126906, 0.906502915383084, 0.9066809500620416, 0.9068546252322135, 0.90700228302717, 0.9071664256392364, 0.9073467035329655, 0.9075226537403138, 0.907667723087491, 0.9078135427389777, 0.9079258511178548, 0.9080748824019275, 0.908209483135593, 0.9083631633813456, 0.90850757293921, 0.9086865121868495, 0.9088292205549056, 0.9089877104813051, 0.9090923338789897, 0.9092697751021512, 0.9094435725195502, 0.909586610646524, 0.9097116586810424, 0.9098499591939231, 0.9099767536686197, 0.9101028600141818, 0.910236141060504, 0.910358989878694, 0.9104682711429567, 0.9105637420553542, 0.9107032626953853, 0.910875350227001, 0.9110488662835105, 0.9111607917412187, 0.9112788089769901, 0.9114301114337573, 0.9115422118218047, 0.9116868635997173, 0.9118520100257693, 0.9120253931070638, 0.9121396505996956, 0.9122887900519793, 0.9124179392925097, 0.9125460177590041, 0.9126862900955091, 0.9128033793301406, 0.9129403787000245, 0.9131112260098155, 0.9132426887395468, 0.9133768810953143, 0.9135069256686494, 0.9136238251557097, 0.9137814146110638, 0.9138881141586915, 0.9140112271690496, 0.9141549605501652, 0.9142443065389664, 0.9143458815039138, 0.9145103893927913, 0.9146337040240966, 0.9147589875362322, 0.9148756283649747, 0.9149839628592503, 0.9151159884105483, 0.915209151344373, 0.9153440081229939, 0.9154812292105599, 0.9155860131938234, 0.9156854888745072, 0.9158190003192853, 0.9159349687973792, 0.9160652351614259, 0.9161990168270296, 0.9163401164578376, 0.9164452787144951, 0.916574238313638, 0.9167300940567489, 0.9168314824965798, 0.9169349413900358, 0.9170622676093219, 0.9172003857109272, 0.9172932393858484, 0.9174153645423897, 0.9175759954807208, 0.917721739356599, 0.9178448395231641, 0.9179339943190593, 0.9180379000252712, 0.918126047325795, 0.9182759001578749, 0.918395810481945, 0.9184895350776902, 0.9185960402730823, 0.9187323330244853, 0.9188500828794098, 0.9189729828627188, 0.9190855038887203, 0.9192274755771945, 0.9193555922876145, 0.919477158965416, 0.919565128592117, 0.919662431759989, 0.9197539654119183, 0.9198614303135727, 0.9199804427359938, 0.9200744348562209, 0.9201742878600232, 0.9203083434175656, 0.9204238291014409, 0.9205413124408686, 0.9206557437941006, 0.9207671198176138, 0.9208956257564407, 0.9209864945803453, 0.9210780469998953, 0.9211651010568395, 0.9212715939176921, 0.9214159877191209, 0.9215129161902313, 0.9216125827268355, 0.9217478126956727, 0.9218783987026847, 0.9219942543112771, 0.9220968917844444, 0.9221999661217921, 0.9222811117196312, 0.9223885706248247, 0.9224553927825039, 0.9225433535811101, 0.9226223228691264, 0.9227178212112372, 0.9227992722553722, 0.9229422207704887, 0.9230727778129019, 0.9232021615188694, 0.9232770957086743, 0.9234022767900741, 0.9235243825730339, 0.9236343847482879, 0.9237161780033746, 0.9238242127949482, 0.9239135425026866, 0.9240142387732749, 0.9241248379644593, 0.9242217609174671, 0.9243045687006987, 0.9244129807068276, 0.9245265590487465, 0.9246394039888771, 0.9247447876896765, 0.9248317362063303, 0.9249383923732656, 0.925056561929613, 0.925163650964898, 0.9252827202540432, 0.9254147439888776, 0.9255038979253721, 0.9256140518547847, 0.9257163243994337, 0.9258079097878, 0.9259098759080614, 0.9260000563688711, 0.9260712886900224, 0.9261872272724554, 0.9263032531331405, 0.9264018491860231, 0.9264696263609987, 0.9265743056891796, 0.9266659224882589, 0.9267452574734416, 0.9268729750406918, 0.9269552274065654, 0.9270529585307428, 0.9271654209156859, 0.9272640686040645, 0.9273365427738115, 0.9274344745798729, 0.9275245001094893, 0.9276316607251621, 0.9277036534014471, 0.9277855581407515, 0.9278741116577099, 0.9279651219406518, 0.9280378539475389, 0.9281568189865133, 0.9282626920925624, 0.9283761566724074, 0.9284752893318697, 0.9286347624366355, 0.9287161070549574, 0.9287657739467668, 0.9288507714567452, 0.9289234232529984, 0.9290184749262714, 0.9291047761273634, 0.9292018151593685, 0.9292572804024762, 0.9293600827721081, 0.9294685333169174, 0.9295362090701792, 0.929639019751652, 0.9297291220113996, 0.9298213262444043, 0.9299440272778674, 0.9300478859530659, 0.9301326724716262, 0.9302154190610982, 0.9303190654228182, 0.9304203503552391, 0.9305332957037551, 0.9306376794454053, 0.9307258160957353, 0.9308304397710829, 0.9309170773423632, 0.9310057024364956, 0.9311264922903015, 0.9312144569273497, 0.9313016533391433, 0.931423058978582, 0.9315171876310989, 0.9316065210968393, 0.9316797678137526, 0.9317542231136903, 0.9318384171190213, 0.9319299081099217, 0.9320016627839507, 0.9320690046454096, 0.9321856358760868, 0.9322594747954777, 0.932342665070688, 0.9324392273814891, 0.9325390373496875, 0.9326199122454768, 0.9327092864030148, 0.9327788110177363, 0.9328549261648049, 0.9329059686251058, 0.933007593505866, 0.9330651638757071, 0.9331515248893734, 0.9332496481748528, 0.933314189344763, 0.9334034945317283, 0.9334962866123334, 0.9335816103985981, 0.9336786271613656, 0.9337615600557535, 0.9338270603955848, 0.9339140906672329, 0.9339841448460307, 0.9340557658225423, 0.9341405134138946, 0.9342110304733939, 0.934280789494542, 0.9343554589154823, 0.9344423706631395, 0.9345289115386878, 0.9346008240927266, 0.9346991924641613, 0.93476831471805, 0.9348577912993117, 0.9349514410644928, 0.9350275892128294, 0.9350951982185272, 0.9351485189567513, 0.9352394464574147, 0.9353087396512977, 0.9353817639655204, 0.9354752474858288, 0.9355344373221862, 0.9356283716021788, 0.9356962005399516, 0.9357713903018624, 0.9358478653339041, 0.9359264171893812, 0.9360255736732541, 0.9360898604265343, 0.9361582674942949, 0.9362179380566142, 0.9362818872916606, 0.9363479099996629, 0.9364246194647325, 0.9365054613800688, 0.9365740266135342, 0.9366405657773085, 0.9367403557059334, 0.9368057214622781, 0.9368542706209217, 0.936906944529101, 0.9369965946950226, 0.9370772666055425, 0.9371414956954254, 0.9372358017582788, 0.9373289144462491, 0.9374117779291045, 0.937463387729543, 0.9375281643065014, 0.9375855787152858, 0.9376549607883026, 0.9377309627783253, 0.9378045215893033, 0.9378895995842805, 0.9379495813690887, 0.9380314768431678, 0.9381039731137387, 0.9381809798189744, 0.9382576042619688, 0.9383656491405683, 0.9384264538198404, 0.9384907494821683, 0.9385604426724004, 0.9386109000407458, 0.9387009338712037, 0.9387834784049526, 0.9388776711542013, 0.938959045331584, 0.9390432976598362, 0.9391339325172694, 0.93920264681555, 0.93926638737588, 0.939323960493387, 0.9393749202771993, 0.9394383121641642, 0.9395029719774888, 0.9395775609506204, 0.9396518443591454, 0.9397107959583357, 0.9397984222157119, 0.939881489325686, 0.9399621240587378, 0.9400261661234919, 0.9401030668422037, 0.9401520305087174, 0.940242348631646, 0.9403102366775932, 0.940399323558479, 0.940477676583365, 0.9405635570125395, 0.940643224741607, 0.9407231838017601, 0.9407787420865397, 0.9408618350329631, 0.9409448836346601, 0.941015530627941, 0.941083153434396, 0.9411437853572096, 0.9412093707337108, 0.9412655071988004, 0.9413140936333643, 0.9413787288428938, 0.9415054975785796, 0.9415729918046798, 0.9416200489696741, 0.941672088700777, 0.9417538996648387, 0.9418123106465354, 0.9418944453233459, 0.941980929962148, 0.9420597834132748, 0.9421214930622717, 0.942181678130473, 0.9422497200960992, 0.9423302631309657, 0.9424224192329634, 0.9425083223059163, 0.9426156377662777, 0.9426952202748905, 0.9427631546715824, 0.9428495952416166, 0.9428940851692148, 0.9429604403557212, 0.943028081471613, 0.9431108840462249, 0.9431949823735628, 0.9432479850722306, 0.9433140500918218, 0.9433792981604552, 0.9434306781054137, 0.9435035510561676, 0.9435768232729701, 0.9436413268659275, 0.9437083830321781, 0.9437825804788914, 0.9438340883799949, 0.9439230955523642, 0.9439615702772962, 0.944040962099777, 0.9441208331600899, 0.9441863813643677, 0.9442316336045833, 0.9442680558276682, 0.9443205682160839, 0.944400541984077, 0.9444926333617096, 0.9445502900358214, 0.9446138636824604, 0.9446681787954171, 0.9447123578002649, 0.9447624764537104, 0.9448307658393514, 0.9449088207192883, 0.9449543422691576, 0.9450043910593638, 0.945039700598883, 0.9451068816182989, 0.9451578800534108, 0.945214506942675, 0.9452778174123501, 0.945358195417996, 0.9454212557797351, 0.9454924045836484, 0.945550769827642, 0.9456143014078106, 0.9456629887983958, 0.9457202148799466, 0.9457961614283358, 0.9458410318801863, 0.9458872658864568, 0.9459330900746501, 0.9459647466163047, 0.9460138321593657, 0.9460758713601022, 0.9461276204427376, 0.9461878444088655, 0.9462498531644248, 0.9463085737745063, 0.9463596461015295, 0.9464230952993163, 0.9464648275290545, 0.9465223490237027, 0.9465993411931783, 0.9466556290196984, 0.9467290052406049, 0.9467955569721087, 0.9468518875057996, 0.9468945973272098, 0.9469379360177314, 0.9470016073652788, 0.9470533135163963, 0.9470995051705503, 0.9471717905305524, 0.9472193016235319, 0.9472693950365937, 0.9473190540425199, 0.9473751724854389, 0.9474565643039853, 0.9474883255428312, 0.947575313034133, 0.9476298056147697, 0.9476821751932595, 0.9477457052007857, 0.9478079728497619, 0.9478904158914419, 0.9479299803238757, 0.947988837458499, 0.9480489092013422, 0.9480889492446104, 0.948142762130575, 0.948187147902232, 0.9482452441630801, 0.948306844872065, 0.9483693276010723, 0.9484189400026011, 0.9484599486951714, 0.9485229221431806, 0.9485725866451944, 0.9486128046499374, 0.9486629080632791, 0.9487311270342703, 0.9487713917572546, 0.9488314748075752, 0.9488933024464987, 0.948940891182998, 0.9489816487936874, 0.9490129159166741, 0.9490674908202402, 0.9491220850106248, 0.9491844607527559, 0.9492165738636209, 0.9492680182227377, 0.9493252749060994, 0.949390523066739, 0.9494633660106645, 0.9495345100245559, 0.9495667814364924, 0.9496361962029002, 0.9496775009715471, 0.9497362010770424, 0.9497797898273143, 0.949851935223026, 0.9499375192406129, 0.9499820087360112, 0.9500460115712268, 0.950109605406866, 0.9501572013914111, 0.9502225256893647, 0.9502874868018666, 0.9503440351285173, 0.9503924141324727, 0.9504322976890148, 0.9504778084906526, 0.9505172626986361, 0.9505619577340608, 0.950608679299883, 0.9506529256685041, 0.9507102543181207, 0.9507741165316875, 0.9508101627176706, 0.9508762151889482, 0.9509231747029707, 0.9510027676423489, 0.9510549379524893, 0.9511024107291436, 0.9511402870641877, 0.9511834400706827, 0.9512274774929299, 0.9512936794368627, 0.9513290229063308, 0.9513700595415425, 0.9514263064329798, 0.9514746887856632, 0.9515144633377807, 0.9515834024835459, 0.9516392917014006, 0.9516677790843787, 0.9517331847584941, 0.9517904827459156, 0.9518643803656798, 0.9519225964392711, 0.9519803970927612, 0.952022500817457, 0.9520598148056413, 0.9521315371152395, 0.9521789303912325, 0.9522424650732038, 0.9522878829050476, 0.9523302779586069, 0.9523746771508925, 0.9524400644235975, 0.9524954353892263, 0.9525499508657415, 0.9526075497083117, 0.9526577263869995, 0.9527009137877144, 0.9527869331804513, 0.9528533583975227, 0.9528926368616369, 0.9529499217779339, 0.9529876544573049, 0.9530322586582551, 0.9530847731580047, 0.953114470675313, 0.9531547300348825, 0.9532006650756544, 0.9532479757429951, 0.9533141839574537, 0.9533703152058889, 0.9534119691815302, 0.9534624248979552, 0.9534957576338622, 0.9535365735597159, 0.9536077411727493, 0.9536560665118364, 0.9537052241215487, 0.9537659028031191, 0.9538186818257323, 0.9538741206717761, 0.9539022592379417, 0.9539554230105164, 0.9540184029817115, 0.9540535585389834, 0.9540901163220361, 0.9541478643945022, 0.9541997324702148, 0.9542376766372537, 0.9543073910123463, 0.954363853897761, 0.954418614113912, 0.9544636407444165, 0.9545135811697142, 0.9545538237204456, 0.9545998213068659, 0.954641837391075, 0.9546896117601318, 0.9547319311493533, 0.954775253716679, 0.9548151372578075, 0.9548598149021293, 0.9549028218626258, 0.9549436100153728, 0.9549835473498514, 0.9550212011988909, 0.9550717892759699, 0.9551308085893963, 0.9551623882479504, 0.9552068246019964, 0.955257479274746, 0.9553063787519376, 0.9553512846331244, 0.9553859869525406, 0.9554304774397543, 0.9554603450789162, 0.9555135290244634, 0.9555674030922071, 0.9555964192503612, 0.9556365633097743, 0.955674479697843, 0.9557319706729359, 0.9557725397092466, 0.9558256249959324, 0.9558560631949433, 0.9558724851720185, 0.9559376174370537, 0.9559867647695022, 0.9560287099816364, 0.9560761101726858, 0.9561257106900442, 0.9561895921769323, 0.9562201275489063, 0.9562514813412698, 0.9563190018326747, 0.9563611548458621, 0.9564184717509531, 0.9564489463462277, 0.9564898047447364, 0.9565310211033559, 0.9565950157999905, 0.9566426105733967, 0.9567035868840807, 0.9567471804923375, 0.9568006292706004, 0.9568429348614773, 0.9568977385955537, 0.9569430408551457, 0.956962993290903, 0.9570035663824331, 0.9570378755613339, 0.9570707943521455, 0.957115735519863, 0.9571545712583663, 0.957183926308352, 0.9572165220687312, 0.9572777465357587, 0.9573367757283101, 0.9573788138886408, 0.957412785939115, 0.957476796616219, 0.9575260473566185, 0.9575663334590544, 0.9576075291589229, 0.957649654847004, 0.957686862463459, 0.957746505254118, 0.9577882269191321, 0.9578085595122554, 0.9578615035120489, 0.9578911461669407, 0.9579162495829162, 0.9579427666161248, 0.9579876841378897, 0.9580258988137408, 0.9580807491077195, 0.958111215024281, 0.9581566601509268, 0.9582187548531151, 0.9582511547238447, 0.9582848748527473, 0.958313285926791, 0.9583610524126515, 0.9584114378876271, 0.9584790443797571, 0.9585183104440061, 0.9585436289757681, 0.9585851699018748, 0.9586289577087762, 0.958652032475233, 0.9586867927579543, 0.9587301094728349, 0.9587888483986609, 0.9588476088744897, 0.9588703034568213, 0.9589033812833877, 0.9589671553713991, 0.9590110154924778, 0.9590472733880242, 0.9590844652985625, 0.9591388320012281, 0.9591828084002482, 0.959216878139591, 0.9592608628668914, 0.9592958409492831, 0.9593334854023199, 0.9593906452028017, 0.9594287322610316, 0.9594746376982439, 0.9595155619589746, 0.9595682868879949, 0.9596056380288129, 0.9596380204081826, 0.9596749417769189, 0.959714592916837, 0.9597497263162665, 0.9597989190506117, 0.9598245212229681, 0.9598669426179413, 0.9599093592224204, 0.9599404137868475, 0.9599964653841556, 0.9600321380043717, 0.9600650991258509, 0.9600957822254476, 0.9601263994272969, 0.9601606776685659, 0.9602145527903452, 0.9602457145425258, 0.9602662668279774, 0.9602974837579755, 0.9603302655897616, 0.9603592293950075, 0.960389908289457, 0.9604166163558285, 0.9604446782906767, 0.960475042191185, 0.9605386332541226, 0.9605671828632159, 0.9605943568795079, 0.9606161129129573, 0.960647438191648, 0.9606810505534769, 0.9607169513209419, 0.960753560474594, 0.9607858390725212, 0.9608436550096998, 0.9608878133266902, 0.9609141637867293, 0.9609574173692097, 0.9609997545571893, 0.961022046562157, 0.9610552429725817, 0.9610921757831721, 0.9611227100093346, 0.9611660033980638, 0.9611933433028877, 0.9612472255623732, 0.9612730320168922, 0.9613004199902823, 0.9613145787250391, 0.9613392562889396, 0.9613706898396867, 0.9614173363195762, 0.961476332198535, 0.9615417745169283, 0.9615783884741829, 0.9616223570621318, 0.9616607729266645, 0.9616891991637817, 0.9617194662805623, 0.9617950636891851, 0.9618340105353835, 0.9618693215229589, 0.9619037632973653, 0.9619349881210697, 0.9619758720447927, 0.962038789025544, 0.9620709324308598, 0.9620944026673727, 0.9621321270318648, 0.9621753368366155, 0.9622011478290416, 0.9622283443971599, 0.9622771213748658, 0.9623103113560372, 0.9623434938471993, 0.9623835994996516, 0.9624001822836182, 0.9624287964516112, 0.9624376624884546, 0.9624750478016498, 0.9625023241274784, 0.9625383333851217, 0.9625743542813866, 0.9625961349482904, 0.9626395605993358, 0.9626857639528359, 0.9627172260892821, 0.9627422664232039, 0.962782837750593, 0.9628023656992751, 0.9628205165029915, 0.9628465095167575, 0.9628725103722517, 0.9629215781031554, 0.9629618807100374, 0.9629791103526452, 0.9630254516877945, 0.9630579622211807, 0.9630978693053133, 0.9631382513333733, 0.9631754138983935, 0.9632009522270344, 0.9632381367159134, 0.9632660912931704, 0.9632889528607412, 0.9633229330520683, 0.9633670959951314, 0.9633960128511172, 0.9634341894145764, 0.9634575742835975, 0.9634698613269507, 0.9635173229673955, 0.9635550627736469, 0.9635817209519096, 0.9636245420330082, 0.9636618196534259, 0.9637014781877178, 0.9637309560715563, 0.9637632236968647, 0.9637916714159228, 0.9638202325017605, 0.9638520482780917, 0.9638939385045032, 0.9639179077901553, 0.9639496848322892, 0.9639982303602969, 0.9640565753836894, 0.9640935846556069, 0.9641433149949378, 0.9641738140154194, 0.9642089682831829, 0.964236716649648, 0.9642705324068049, 0.9642950623538525, 0.9643330649554765, 0.9643486910848341, 0.9643816154215641, 0.9644178064351823, 0.9644431537175348, 0.9644630447799216, 0.9644921986780725, 0.9645428614177257, 0.9645785392617866, 0.9646203857531379, 0.9646645242446997, 0.9646938195952368, 0.9647350016882565, 0.964749851683083, 0.9647591289970013, 0.9647954503938089, 0.964819658883076, 0.9648494715867287, 0.9648792765926791, 0.9649002087989563, 0.9649211811105496, 0.9649832174265947, 0.9650084106954439, 0.9650233050550171, 0.9650723302277052, 0.9650975149585536, 0.9651250096213381, 0.9651511784360177, 0.9651792247210653, 0.9652082145750929, 0.965235157974891, 0.9652847421463724, 0.9653184400420982, 0.9653450807635829, 0.9653848819754087, 0.9654026995463912, 0.965426590596471, 0.9654456898399456, 0.9654902147179605, 0.9655089950488062, 0.9655291526377582, 0.9655596233675175, 0.9655867900949977, 0.96565105961615, 0.9656703469763545, 0.9657018142268596, 0.965721064871582, 0.965738478268366, 0.9657661009835657, 0.9657966640561082, 0.9658431436766836, 0.9658713985854592, 0.9659048101418413, 0.9659387020118932, 0.96599184574503, 0.966022021395019, 0.9660522064971393, 0.9660791112823477, 0.9661027339675224, 0.966144229000546, 0.9661833867814378, 0.9662089178510356, 0.9662286473494159, 0.9662584274805741, 0.9662816123581005, 0.9662987020577704, 0.9663355677234553, 0.9663507871004204, 0.9663730251315442, 0.9663929640492391, 0.9664077271440012, 0.9664229491605737, 0.9664504433520594, 0.9664774420195753, 0.9665062855888701, 0.9665380324575769, 0.9665787656947145, 0.9666077207446705, 0.9666333662433267, 0.9666664876904205, 0.9666945261895789, 0.966715021110108, 0.9667311432772512, 0.9667431506314078, 0.9667924203870505, 0.9668252072142056, 0.9668584931982778, 0.966888465871187, 0.9669151234047421, 0.9669815310318461, 0.9670115221298826, 0.9670429737321888, 0.967061094203813, 0.9670821551918128, 0.9671046258233139, 0.9671365683605181, 0.9671576501312128, 0.9671934145017433, 0.9672078820145646, 0.96723229901739, 0.9672557279459512, 0.9672910562606959, 0.9673173286201286, 0.9673441470855833, 0.967384720929093, 0.9674015697863905, 0.967460186742901, 0.967482253665582, 0.9675195561790563, 0.9675559219576596, 0.9675818583582466, 0.9676097014401848, 0.9676418261375579, 0.9676910249684576, 0.9677169829656949, 0.9677372482778358, 0.9677606555783419, 0.9677789219015238, 0.9678187090158299, 0.967832314846333, 0.9678673683341751, 0.9678881660116223, 0.9679218124893423, 0.9679530910556479, 0.9679719763395519, 0.9680089835226697, 0.9680226468757284, 0.9680539606115077, 0.9680700152775988, 0.9680961072055807, 0.9681398320492073, 0.968160639661115, 0.9681781805331477, 0.9682009690486282, 0.968219950964464, 0.9682503338493719, 0.968290787455787, 0.9683136071212373, 0.9683392802689004, 0.9683615902719268, 0.9683944212230851, 0.9684320514558202, 0.9684491815173969, 0.9684701207397218, 0.9684939470607582, 0.9685182582364879, 0.9685478318000036, 0.9685798037760869, 0.968619432663026, 0.9686557287089068, 0.9686800685063348, 0.9687001275057496, 0.9687273664425713, 0.9687512653258739, 0.9687741837348995, 0.9688047809355306, 0.96883348878385, 0.9688741581150275, 0.9689000133427557, 0.968931144377753, 0.9689526902609809, 0.968978554191492, 0.9690022795713813, 0.9690209860070207, 0.9690347669483247, 0.9690716243358498, 0.9690821982671821, 0.969104764110398, 0.9691321179797692, 0.9691518198342329, 0.9691839570821102, 0.9692089212129855, 0.9692429826655322, 0.969262217942698, 0.9692761922690142, 0.9692857418896462, 0.9693088495228789, 0.9693458809162484, 0.9693819787505936, 0.9694068524723941, 0.9694212802502229, 0.9694367343376281, 0.9694685415271681, 0.9694920618542382, 0.9695237972381143, 0.969541499830538, 0.9695819604071158, 0.9695993773342519, 0.9696293152024704, 0.9696419296888422, 0.9696723647997012, 0.9696912502868359, 0.9697019522946827, 0.969734322630521, 0.9697537075547407, 0.9697807645533661, 0.96983051723658, 0.9698393183570612, 0.9698693399974343, 0.9698949403687381, 0.9699254627368395, 0.9699400721601432, 0.9699773672246167, 0.9700006767475513, 0.970040407649931, 0.9700578951376746, 0.9700841105908651, 0.9701002053899297, 0.9701136958393528, 0.9701510601705498, 0.9701763544903593, 0.9702166415723429, 0.9702499362153371, 0.9703003902531412, 0.9703329800714433, 0.970360258715804, 0.9703986751882526, 0.9704356230817492, 0.9704443743902122, 0.9704615206554839, 0.9704888259097192, 0.9705098583255568, 0.9705546330222341, 0.9705848730619338, 0.9706180157312368, 0.9706516246172407, 0.9706862727470688, 0.9707000527985478, 0.9707279152932055, 0.970754816443739, 0.9707928553116143, 0.9708168493133568, 0.9708562067226143, 0.9708894708894709, 0.9709168903271168, 0.9709642294632144, 0.9709824555084661, 0.9710128032581015, 0.9710436901705873, 0.9710624224886316, 0.9710986593998685, 0.9711188209025462, 0.971142406787265, 0.9711606790070596, 0.9711794574874208, 0.9711962522066175, 0.9712169878389895, 0.9712419800646606, 0.971263500852237, 0.9712825221977502, 0.9713037706507474, 0.9713186942667974, 0.9713613297714694, 0.9713835170462554, 0.9714160017416971, 0.9714514213580757, 0.9715141247587495, 0.9715255802514988, 0.9715386020885747, 0.9715545541580505, 0.9715792919778106, 0.9715956855935021, 0.971620380206442, 0.9716446086779172, 0.9716635173312258, 0.9716814550614701, 0.971703290628273, 0.9717251186120518, 0.9717367086469454, 0.9717722573596218, 0.9717916624131722, 0.9718228323427592, 0.9718559678296428, 0.9718969236899621, 0.9719251774175611, 0.9719475701046525, 0.9719655805080374, 0.9719899575051639, 0.9720260318978865, 0.972053335052281, 0.9720816541981276, 0.9721089607381458, 0.9721299507301302, 0.9721563357123024, 0.9721709697725063, 0.9721875401671963, 0.9722192954020804, 0.9722593670520989, 0.9722833413097735, 0.9723058516983326, 0.9723239544616229, 0.9723425531549913, 0.9723699196202081, 0.972383118682287, 0.9724061241878365, 0.9724369915897915, 0.9724551025189446, 0.9724744558243448, 0.9724960439861265, 0.9725215688711142, 0.9725558631344995, 0.9725740059687856, 0.972585708827519, 0.9726083136959948, 0.972625953071618, 0.9726539391494022, 0.9726740916648798, 0.9727030228481313, 0.9727118304547, 0.9727381917271513, 0.9727505076515858, 0.9727662593726214, 0.9727864609036626, 0.9728037137158421, 0.9728273609862916, 0.9728372218323089, 0.9728707493742638, 0.9728978812793068, 0.9729200378142703, 0.9729442279989441, 0.9729738221752604, 0.9729980009407337, 0.9730138291832265, 0.9730478474479164, 0.9730888537407497, 0.9730962855366289, 0.9731066537419532, 0.9731284342837082, 0.973154542903665, 0.9731812218819225, 0.9732166649832017, 0.9732365000936621, 0.9732656622630713, 0.9732968516244619, 0.9733255929353123, 0.9733380405463754, 0.9733554367965762, 0.9733713544146408, 0.9733971702317856, 0.9734145830707237, 0.9734315062156164, 0.9734400071585891, 0.9734485104703868, 0.973458006283826, 0.9734749184395324, 0.9734887968113708, 0.9735334837022086, 0.973551901333982, 0.9735668694177088, 0.9736001787747718, 0.9736195659976693, 0.9736370297536879, 0.9736619499537835, 0.9736839022352842, 0.9736984207845135, 0.9737198756814592, 0.9737368847488547, 0.9737692836563479, 0.9738121041154155, 0.9738271224772592, 0.973848117363253, 0.9738676420190283, 0.9739010547609611, 0.9739429384174456, 0.973959438829657, 0.9739993447528688, 0.9740089654880261, 0.9740265441551812, 0.9740470190371553, 0.9740700798715682, 0.9740906075451983, 0.9741256237335699, 0.974160127513487, 0.9741821987003472, 0.9741928527371132, 0.9742159577094276, 0.9742694494825672, 0.9742890740835422, 0.9742967476432123, 0.9743099043902739, 0.9743340158431623, 0.974358161080658, 0.9743798210839342, 0.9744139537549537, 0.9744600678485221, 0.9744757680791737, 0.9744919196082297, 0.9745200914345641, 0.9745417708242108, 0.9745640253350647, 0.9745751944719953, 0.9746118609155471, 0.9746195962995837, 0.9746473285744965, 0.9747000397298371, 0.9747187857141758, 0.9747480341690999, 0.9747722926040678, 0.974796045666073, 0.9748093036427775, 0.9748335957078673, 0.9748473892593856, 0.9748946350762667, 0.9749114449110342, 0.9749252563464716, 0.9749410743721019, 0.9749653580625578, 0.9749831130105585, 0.9750229651443567, 0.9750498171231138, 0.9750651649268796, 0.9750864802907176, 0.9751017997255867, 0.9751131128660744, 0.9751440238645345, 0.9751643869786484, 0.9751705577442706, 0.9751979676419625, 0.9752268534836513, 0.9752502660653007, 0.975269619159238, 0.9752904717044267, 0.9753159264842778, 0.9753447400429889, 0.9753621613436705, 0.9753836200213362, 0.9754020701518843, 0.9754129741299578, 0.9754263946206458, 0.9754473731276664, 0.9754723429789195, 0.9754874235319291, 0.9755208712032727, 0.9755438903049252, 0.9755704139911854, 0.975591434740326, 0.97561496641885, 0.975636504009405, 0.9756736598421051, 0.9756972282264439, 0.9757202124171617, 0.9757276715285685, 0.975744203714808, 0.9757546924693724, 0.9757776242801354, 0.9758047472816834, 0.9758263440963019, 0.9758449212206293, 0.9758609815862119, 0.9758926881829397, 0.9759042063311896, 0.9759258349387776, 0.9759398978503467, 0.9759474012039492, 0.9759668519722, 0.9759824423585861, 0.9759950064644755, 0.9760212155455741, 0.976035292649729, 0.9760443322766686, 0.9760594030076449, 0.9760704585148767, 0.976121970046262, 0.9761482236037975, 0.9761744855148169, 0.97618139374816, 0.9762263311746041, 0.9762354092764701, 0.9762515400538448, 0.9762611306742452, 0.9762823708085291, 0.9762924751174742, 0.9763177296898486, 0.9763409657485765, 0.9763611687068087, 0.976382379338501, 0.976413759661247, 0.9764258957899973, 0.9764405831663254, 0.9764821316246428, 0.976495322441889, 0.9765394553549763, 0.9765510876360421, 0.9765774793490447, 0.9766028641724762, 0.9766252226528259, 0.9766369233329173, 0.9766541659754102, 0.9766724298997363, 0.9766841426783349, 0.9766947697469058, 0.9767100348339948, 0.976732941741014, 0.9767420554919638, 0.9767639330760456, 0.9768015966866564, 0.9768235148910597, 0.9768474751247085, 0.9768739753559262, 0.9768948610669682, 0.9769091713492587, 0.9769229646678175, 0.9769443526435022, 0.97697650363592, 0.976980064823737, 0.9770056077905159, 0.9770209667509203, 0.9770383450664734, 0.9770465168817197, 0.9770756548787876, 0.9770951012315421, 0.9771466990865466, 0.9771559717326295, 0.9771703493372028, 0.9772025807098519, 0.9772209698076388, 0.977257791007599, 0.9772741522545587, 0.9772924189612194, 0.9773170346722864, 0.9773212345068512, 0.9773412752146279, 0.9773643884295835, 0.9773972208711842, 0.9774075691678413, 0.9774189194561917, 0.9774592587088989, 0.9774844549851327, 0.9774936695875366, 0.9775040280745542, 0.9775154130961057, 0.9775365384695942, 0.9775535630399705, 0.9775782850821506, 0.9776076242204788, 0.9776169959933794, 0.9776473282386744, 0.9776643946362262, 0.9776809419944572, 0.9776952920205515, 0.9777282663924605, 0.9777458684534024, 0.9777793746774146, 0.9777908229697502, 0.977809923621266, 0.9778269427860292, 0.9778435470478881, 0.9778632245330757, 0.9778797348067226, 0.977889598165973, 0.9778937224452713, 0.9779113765812479, 0.9779321221137924, 0.9779574954603537, 0.9779827727822361, 0.9780025081124719, 0.9780268765993595, 0.9780429792527368, 0.9780622187447088, 0.9780649924979529, 0.9780888595971237, 0.9781106645343209, 0.9781330024871342, 0.9781445495036584, 0.9781689703484523, 0.9781954356859578, 0.9782028312838491, 0.9782149106202114, 0.978231629991953, 0.9782354617340314, 0.9782500819151391, 0.9782595867719828, 0.9782685788869925, 0.9782837718547016, 0.9782875792809332, 0.978293473545039, 0.9783050318428016, 0.9783253979846728, 0.9783348777404436, 0.9783464473478077, 0.9783482480819561, 0.9783567599510362, 0.9783657905401982, 0.9783706928218271, 0.9783724978701347, 0.9783758415055452, 0.9783781300786394, 0.9783866419530124, 0.9783992787612186, 0.978408324384342, 0.9784194402018954, 0.9784440009532067, 0.9784530342945169, 0.9784594844863891, 0.9784664765074418, 0.9784765743541809, 0.9784840426797574, 0.9784962158691813, 0.978499571578179, 0.978510197658149, 0.978519734597036, 0.9785458778706742, 0.9785637092446385, 0.9785747103560418, 0.9785998614017691, 0.9786094529496918, 0.9786180334648932, 0.9786364531936215, 0.9786465953526906, 0.9786660167787635, 0.9786802923451996, 0.9786935574562214, 0.9787265394305062, 0.9787387779011792, 0.9787437436375975, 0.9787616860838163, 0.9788035248786102, 0.9788349375508916, 0.9788544049167116, 0.9788573244818333, 0.9788747680157004, 0.9788823561570835, 0.9788961935218099, 0.9789027586862327, 0.9789176427607257, 0.9789236706006316, 0.9789422020707225, 0.9789820405409354, 0.9790031880977683, 0.9790154194444961, 0.9790355157274825, 0.9790534696561575, 0.9790631895153787, 0.9790781073357702, 0.9791076210407631, 0.9791173310354365, 0.9791311777342482, 0.9791341435772685, 0.9791595157548888, 0.9791687069152718, 0.9791961664008585, 0.9792231024789164, 0.9792359794670813, 0.9792467410598499, 0.9792590817087461, 0.9792777084335539, 0.9793047005999032, 0.9793159788779342, 0.9793361119698116, 0.9793401558030617, 0.9793546433392547, 0.9793686130121921, 0.979374230053383, 0.979392330849205, 0.9794037000682827, 0.97942291101224, 0.9794426505768213, 0.9794550559668933, 0.9794758303214315, 0.9794866866866867, 0.9795127243874348, 0.9795188816984717, 0.9795438861862612, 0.9795568523460821, 0.9795797445170652, 0.9796204640743682, 0.9796339716000101, 0.9796626695111632, 0.9796813383745498, 0.9796906489399644, 0.9797051256202934, 0.9797390504809428, 0.9797719604309137, 0.9797849708607372, 0.9797932662772304, 0.9798193509436548, 0.9798491483142939, 0.9798737417407706, 0.979883478717195, 0.9798907562710174, 0.9799074621621159, 0.9799220733440586, 0.9799534911134806, 0.9799581682562122, 0.9799774460189115, 0.9799903294007659, 0.9800181326773686, 0.9800569708903633, 0.9800684996159903, 0.9800863404439752, 0.9801020514914207, 0.9801377841953297, 0.9801503735188047, 0.9801760979552928, 0.9801934115110663, 0.9802249724824827, 0.980241794085695, 0.9802775748721695, 0.980287574930153, 0.9803023180222266, 0.9803138732491996, 0.9803212488808204, 0.9803428432598275, 0.980344955122719, 0.9803655054868836, 0.9803760244739094, 0.980388676805781, 0.9803980738569981, 0.9804128220481642, 0.9804423566887549, 0.9804481780657521, 0.9804528720289356, 0.9804681969620545, 0.980481932381299, 0.980486549299491, 0.980498675945728, 0.980530389990105, 0.9805473233713878, 0.9805542234890324, 0.9805590014582366, 0.9805733041929303, 0.9806082057590497, 0.9806187465696777, 0.9806473321531238, 0.9806621759366624, 0.9806902280622263, 0.9807162043983066, 0.9807384848816774, 0.9807484639731894, 0.9807797560509575, 0.9807935858415182, 0.9808047720269722, 0.9808323806674619, 0.9808504628326905, 0.9808807371563216, 0.9808972325353227, 0.9809073726050462, 0.9809090442362618, 0.9809255615851945, 0.9809441948719612, 0.9809495437298128, 0.9809670946010617, 0.9809767338976386, 0.9810022951300295, 0.9810114118715058, 0.9810242367084436, 0.981032828483714, 0.9810376956646224, 0.9810515717278451, 0.9810643897373594, 0.9810820235634045, 0.9811007255454046, 0.9811162345783666, 0.9811322901232729, 0.9811568462140308, 0.9811998272319887, 0.9812260087829129, 0.9812329678300358, 0.9812575262949293, 0.9812648617870748, 0.9812857383821615, 0.9813076963969349, 0.9813147238305223, 0.9813521255462205, 0.9813613224647513, 0.9813737181404332, 0.9813994065269012, 0.9814139433160834, 0.9814263224574621, 0.9814472643690147, 0.9814868734979814, 0.9815188299841023, 0.9815269865214112, 0.9815601981159097, 0.9815694404733043, 0.9815808201319244, 0.9816007429737219, 0.9816366674951177, 0.9816645552992421, 0.9816786069256584, 0.9816873414298531, 0.9817099683121527, 0.9817368671991848, 0.9817456144075408, 0.9817701414266363, 0.9817799655855896, 0.981809556953787, 0.9818182511444278, 0.9818184492565634, 0.9818496755815449, 0.9818723511392724, 0.981884340367502, 0.9819032817439399, 0.9819174108846653, 0.9819572562509133, 0.9819638710212256, 0.9819892649080317, 0.9820027922186682, 0.9820083844104313, 0.9820370130851751, 0.9820602714184268, 0.9820765872145012, 0.9821036423895299, 0.9821237342309601, 0.9821368589906392, 0.9821510509985579, 0.982155549715823, 0.9821735153429948, 0.9821882659627665, 0.9821965593424337, 0.9822295647648339, 0.9822362752002239, 0.9822624059254009, 0.9822889050910442, 0.9823063747707197, 0.9823136382934954, 0.9823348799387998, 0.9823426874820419, 0.982360127955579, 0.9823700928275956, 0.9823891374767565, 0.9824017997425027, 0.9824090272247374, 0.9824372938532172, 0.9824548138724384, 0.9824744832816588, 0.9825151694689055, 0.9825305273128729, 0.9825599245597492, 0.9825962980530644, 0.9826073364758919, 0.9826394183774556, 0.9826650800417175, 0.9826902109647686, 0.9827255878738852, 0.982748040148818, 0.9827791133615041, 0.9828004930774236, 0.9828348336012416, 0.9828567787705502, 0.9828943898740853, 0.9828984925948413, 0.9829139769405731, 0.9829370012872135, 0.9829676261761155, 0.9829922697133306, 0.9830050760416443, 0.9830135612124465, 0.9830220488942549, 0.9830381010067002, 0.9830492993743422, 0.9830767308901941, 0.9831133519005736, 0.9831445829030205, 0.9831692915553539, 0.9831788762899031, 0.9831998356499675, 0.9832348840450456, 0.9832628836897689, 0.9832757490094945, 0.9832913370898477, 0.9833139578789196, 0.9833273884114269, 0.9833494525175152, 0.9833618081528794, 0.9833779551619568, 0.9833885631978782, 0.9833938679024068, 0.9834149114045592, 0.9834495220633485, 0.9834580863113966, 0.9834791230972062, 0.9834991170594712, 0.9835135765023731, 0.9835237946365198, 0.9835503254744005, 0.9835562139233743, 0.9835664523088367, 0.9835783155503602, 0.9835891040672355, 0.9836112975508999, 0.9836220853847889, 0.9836366753493825, 0.9836561847136541, 0.9836706581360419, 0.983686904539924, 0.9836949995379217, 0.983718868202312, 0.9837536183185316, 0.9837780675309431, 0.9838248617230296, 0.9838455079578887, 0.9838618097174806, 0.9838982858339599, 0.9839063606531214, 0.9839183174448873, 0.9839373235228579, 0.9839634362354491, 0.9839742630057323, 0.9839796895648929, 0.9839904777065295, 0.9840029955898261, 0.9840144254109161, 0.9840274968550528, 0.9840514774971876, 0.9840733076362861, 0.984078754591973, 0.9840912889381959, 0.9841091776246736, 0.9841195342337319, 0.9841402902956287, 0.9841512105085948, 0.9841631838341, 0.9841648210261298, 0.9841927004150688, 0.9841952784867763, 0.9842072924920416, 0.9842319082377476, 0.9842521261743324, 0.984278956588691, 0.9842970157541739, 0.9843161762700847, 0.98432548141733, 0.9843390858185588, 0.9843506156920321, 0.9843862502777331, 0.9844081646747325, 0.9844197021416922, 0.9844285009131194, 0.984457607096688, 0.9844762900478836, 0.9844971740075583, 0.9845043522277362, 0.9845318259548845, 0.9845373645039722, 0.9845632137429061, 0.9845709297104016, 0.9845858063105133, 0.984634760986411, 0.9846490261159105, 0.9846583918886633, 0.9846782225755593, 0.9846964187598555, 0.9847113211951708, 0.9847322957133242, 0.9847543773205022, 0.984766003239564, 0.9847754229592478, 0.984792017849398, 0.9848074830049858, 0.9848119666004154, 0.9848280158044065, 0.9848495779525287, 0.9848744440696756, 0.9849086181161479, 0.9849180885576894, 0.984931971418594, 0.9849486066364717, 0.9849689470201567, 0.9849800282415334, 0.9849972392366629, 0.9850249379002876, 0.985041609902126, 0.9850582704481623, 0.9850721930931996, 0.9850888136398741, 0.9850999094178527, 0.9851171004499012, 0.9851536724152239, 0.9851604389786774, 0.9851760487935662, 0.9851994010870864, 0.9852067055154762, 0.985226686689147, 0.9852544742556658, 0.9852783913730532, 0.9852890316205534, 0.9853196017542579, 0.9853258000381907, 0.9853382219034078, 0.9853494567776109, 0.9853562492308955, 0.9853624981875934, 0.9853703941022925, 0.9853816407033947, 0.9853884503087553, 0.9854035819341139, 0.9854347335794155, 0.9854498775676893, 0.9854822058000287, 0.9854923469344691, 0.9855069282758411, 0.9855292968695031, 0.985538348597409, 0.9855590321786903, 0.9855614473355213, 0.9855910556627286, 0.985607332379418, 0.985618640720685, 0.9856276094158458, 0.9856450350251, 0.9856730229380449, 0.9856815701167259, 0.9856972646899778, 0.9857169122001234, 0.9857387419655976, 0.9857617636953746, 0.9857792067096098, 0.985815498771399, 0.9858435212378226, 0.9858442820214196, 0.9858539011873486, 0.9858669116770922, 0.9858687579248198, 0.9858839147013134, 0.9859153417629977, 0.9859228230300174, 0.985938107553329, 0.9859511438507003, 0.9859547322218026, 0.9859967735752078, 0.9860109645625429, 0.9860273988099278, 0.9860304350285682, 0.9860373931714603, 0.9860622090634688, 0.9860741969953545, 0.9860828395399966, 0.9860898098940686, 0.9861034354672127, 0.9861137539529363, 0.9861224078282285, 0.986134400464075, 0.9861514333566768, 0.986161718621612, 0.9861759744999977, 0.9862288015491677, 0.9862626209937133, 0.9862942308630172, 0.9863101959745613, 0.9863283964441691, 0.9863555411572004, 0.9863692850698247, 0.9863774197630989, 0.9863827420128453, 0.9864004087541514, 0.9864354367330577, 0.9864458276069648, 0.9864629222775325, 0.9864884671363663, 0.9865100969725276, 0.9865311733353488, 0.9865455279169497, 0.9865800617247807, 0.9866011602169422, 0.9866037436503121, 0.9866265360373734, 0.9866587938020532, 0.986667569377397, 0.9867044053287082, 0.986728345701581, 0.9867320661751647, 0.9867633068618448, 0.986768696753357, 0.9867904230424682, 0.9868053890288504, 0.9868248422393495, 0.9868415204898278, 0.9868615709355496, 0.9868804955522611, 0.9869095681063881, 0.9869127589482315, 0.9869300352010876, 0.9869439322535405, 0.9869555445780631, 0.9869683164984125, 0.9869805441387343, 0.986987669074413, 0.9870060263726579, 0.9870142918715872, 0.9870282177231351, 0.9870438389708167, 0.9870515430944133, 0.9870581514909174, 0.9870658971373464, 0.9870899798632714, 0.9870971465931484, 0.9871116651776605, 0.9871408170008998, 0.9871756751811461, 0.9871855360748862, 0.9871983700672599, 0.9872026782271619, 0.9872132815258009, 0.9872267128285097, 0.9872480517220854, 0.9872626158835197, 0.9872754088186426, 0.9872871626167796, 0.9873107726706253, 0.9873264584024292, 0.9873438607326249, 0.9873550526786855, 0.9873707604765608, 0.9873995122132964, 0.9874265829279688, 0.9874439369318436, 0.9874523297491039, 0.9874765910218503, 0.9875235138851679, 0.987533063660097, 0.9875703646825964, 0.9875979003618978, 0.9876068996754762, 0.9876170358627683, 0.9876322724357078, 0.9876548953388529, 0.9876661714982922, 0.9876933259562234, 0.987694949205895, 0.9877227062691096, 0.9877498981122163, 0.9877617593354889, 0.9877838620476306, 0.9877900516899889, 0.9877978915787391, 0.9878182990721197, 0.9878421096845393, 0.9878699288988384, 0.987896024031823, 0.9879232170366805, 0.9879396672439842, 0.9879566501600655, 0.9879680037599269, 0.9879895985510786, 0.9880089305005402, 0.9880100151841256, 0.9880333082430294, 0.9880629020729093, 0.9880714422024188, 0.988089657117057, 0.9880975861826344, 0.9881044121481161, 0.988115814274407, 0.988118090932118, 0.9881294986862812, 0.9881329118490229, 0.9881568746525599, 0.9881951092209327, 0.9882042472101518, 0.988232786826543, 0.9882470442870273, 0.9882624754529399, 0.9882755934722387, 0.9882881716602073, 0.9883116147439781, 0.9883264680801862, 0.9883356115116233, 0.9883522219606967, 0.9883819865842774, 0.9883997202326303, 0.9884071991547833, 0.9884243840815171, 0.9884290020419408, 0.9884456037432539, 0.9884559558733704, 0.9884702645046748, 0.988497765288387, 0.9885121123301319, 0.9885241133823159, 0.988529884012472, 0.9885614504013663, 0.9885683747059785, 0.9885787066882481, 0.9886005525774869, 0.9886155259382289, 0.9886287706891992, 0.9886506423606478, 0.9886581806092486, 0.9886657080218608, 0.9886846812546214, 0.988701971916015, 0.9887175592817278, 0.9887296676445243, 0.9887607625629783, 0.9887665968463524, 0.9887724394353106, 0.9887891933727596, 0.9887973397677294, 0.9888054561486003, 0.988822216977348, 0.9888292095268882, 0.988844829561347, 0.9888552720809503, 0.98887147016308, 0.988877899501405, 0.988884912703331, 0.9889010974941191, 0.9889130324692674, 0.988919485358328, 0.9889270854076488, 0.9889433136631548, 0.9889693397971053, 0.9889850236401386, 0.9889960321390907, 0.9890047901539609, 0.9890066530090077, 0.9890142815505684, 0.9890276593933613, 0.9890375940551106, 0.9890503839801431, 0.9890527936724588, 0.9890627306186954, 0.9890830395011924, 0.9890958069190416, 0.9891080521384662, 0.9891168050587038, 0.9891383106491032, 0.9891760039570217, 0.989180753375612, 0.9891965148917402, 0.9892162831378589, 0.9892232966591168, 0.9892239275797436, 0.9892512277087777, 0.9892594322717491, 0.9892677022392576, 0.9892759685080631, 0.9892830487100117, 0.9893011525480843, 0.9893198225451039, 0.9893263529472351, 0.9893368514270697, 0.989348617778998, 0.9893655452565929, 0.9893876991709616, 0.9894122222443489, 0.989426314593209, 0.9894323018739692, 0.9894435091498377, 0.9894493340045937, 0.989463441512575, 0.9894839471459443, 0.9894886645162387, 0.9895062734808348, 0.9895133054556269, 0.989517560198643, 0.9895334468510567, 0.9895441122618567, 0.9895640434929346, 0.98957238746127, 0.9895894310208064, 0.9896018251272098, 0.9896024644443988, 0.9896026509128226, 0.9896114791921136, 0.9896250723500775, 0.9896374335957083, 0.9896544710907127, 0.9896628415515791, 0.9896735484197213, 0.9896900426077471, 0.9896971796646936, 0.9897176622300872, 0.9897231378262195, 0.9897280145379048, 0.989737528884536, 0.989743556536415, 0.989763031277893, 0.9897713842549981, 0.9897761399288882, 0.9897838786388636, 0.9897905438366205, 0.9897977522528442, 0.9898079216976817, 0.9898163380666898, 0.9898352427379642, 0.9898611816219397, 0.98987369691151, 0.9898856085209089, 0.9899121471906215, 0.9899193726822965, 0.9899271609040002, 0.989960702190124, 0.9899808377323115, 0.9899939244398706, 0.9899982520414502, 0.9900072587499239, 0.9900302807258395, 0.9900399218460589, 0.9900624311204215, 0.9900831985304764, 0.9900934381663018, 0.9901013337747718, 0.9901080668126795, 0.9901218227700176, 0.9901390972284658, 0.9901587322246352, 0.990179528188961, 0.9901973722755602, 0.9902216697741869, 0.9902348259436905, 0.9902404220486054, 0.9902647855161517, 0.9902738957664409, 0.9902929818128179, 0.9903149794313294, 0.9903275833358519, 0.9903372966834577, 0.9903563034077201, 0.9903683848234915, 0.9903775165845076, 0.9903843131393827, 0.9903940264297739, 0.9904083752735782, 0.9904433729048705, 0.9904472453038917, 0.9904540527834729, 0.9904591040427253, 0.9904741207577239, 0.9904874117659634, 0.9905100640126683, 0.9905192238345965, 0.990531357451357, 0.9905340711635325, 0.9905461997577412, 0.9905576592696512, 0.9905621507404199, 0.9905678160468434, 0.9905705262782275, 0.9905844493815263, 0.9906013069406832, 0.9906111080368177, 0.9906262014066352, 0.9906389133592057, 0.9906427999923799, 0.9906565928716925, 0.9906669953942409, 0.9906768223170178, 0.990705526881413, 0.9907199805521776, 0.990737485206078, 0.9907656307182102, 0.9907689299529594, 0.9907852373002624, 0.9907950728951989, 0.9908125994546249, 0.9908188362094935, 0.9908505498321358, 0.9908775610798218, 0.9908803287856334, 0.9908937442321077, 0.9908970417027374, 0.9909128202800915, 0.9909262477678438, 0.9909349389530022, 0.9909519320268748, 0.9909547090126662, 0.9909722977552062, 0.9909768557785241, 0.9909897037996643, 0.9909899944632921, 0.9910028704700394, 0.9910097534396022, 0.9910112601524126, 0.9910264855689638, 0.9910322542038178, 0.991045126291131, 0.9910548864695505, 0.9910725297831806, 0.9910872170068642, 0.9911042834555124, 0.9911081666014735, 0.9911198023853474, 0.9911255350295686, 0.9911342980345387, 0.9911430638549371, 0.9911452697335488, 0.9911539976699272, 0.9911681258519577, 0.9911929601262964, 0.9912112146101408, 0.9912199646950538, 0.9912375668989952, 0.9912498574455442, 0.9912723055089294, 0.9912757569316603, 0.9912887026977036, 0.9913064160979659, 0.9913098692996173, 0.9913353353209008, 0.9913423477399183, 0.9913487561958809, 0.9913587371433037, 0.9913663061077372, 0.9913691292279421, 0.9913796577243571, 0.9913843196181021, 0.9913937648864404, 0.9914156582100931, 0.9914197211003123, 0.9914410968205231, 0.9914539588429401, 0.9914687091665613, 0.991506110083897, 0.9915119826757947, 0.9915208439393072, 0.9915243105141693, 0.9915271908530544, 0.9915522009485164, 0.9915736281146739, 0.9916004187127958, 0.9916062829245934, 0.9916301233525349, 0.9916468032401667, 0.9916544831735048, 0.9916616023941587, 0.9916668628327958, 0.9916979332369428, 0.9917032115412366, 0.9917054670845638, 0.9917203072932931, 0.9917374793542705, 0.9917626024689836, 0.9917757472473017, 0.9917778378185612, 0.9917831853939955, 0.991787325405842, 0.9917962301119355, 0.9917979095889036, 0.991812873279805, 0.9918188258968466, 0.9918295769073902, 0.9918373152168979, 0.9918588553486455, 0.9918827807424467, 0.9918887496139662, 0.9919107199313901, 0.9919190303805688, 0.9919219691177237, 0.9919236968720081, 0.9919302198871139, 0.9919559376939789, 0.9919643116978862, 0.991972004191367, 0.9920044299206447, 0.9920086283035532, 0.9920146287245247, 0.9920205681234135, 0.9920343702509674, 0.9920439377136291, 0.9920505066633316, 0.9920558296111164, 0.9920835241344714, 0.9921051784368168, 0.9921202006584523, 0.992129252105773, 0.9921430919923109, 0.9921455116601648, 0.9921473193767949, 0.9921641568700893, 0.9921724910282553, 0.9921803530762793, 0.992188103602987, 0.9921892065385048, 0.9922012734775748, 0.9922072863059932, 0.9922157551362806, 0.9922278657043386, 0.9922611149036872, 0.9922617495937495, 0.9922690005257153, 0.9922829229358525, 0.9922932125792419, 0.992307087511603, 0.992330660047256, 0.992351807117258, 0.9923633352278133, 0.9923705652271234, 0.9923954326233866, 0.9924045056796896, 0.9924086443816036, 0.9924176765851896, 0.9924255558133005, 0.9924327670832084, 0.9924381627599516, 0.9924430095548015, 0.9924842895811837, 0.9924921090159458, 0.9924975051775586, 0.9925072549868103, 0.9925151924354784, 0.9925219234021427, 0.9925462078243721, 0.9925541648725877, 0.9925650603102438, 0.9925687540151121, 0.9925742574257426, 0.9925810003347791, 0.9925980428765039, 0.9926041887964481, 0.9926316195556927, 0.9926480135427461, 0.9926589813846617, 0.9926663039642395, 0.9926821899995649, 0.9926846428982935, 0.9926914233488274, 0.9926962145141355, 0.992699879506621, 0.9927024176039839, 0.9927213126418887, 0.9927353287814359, 0.9927414930838928, 0.992756109251841, 0.9927665315813575, 0.9927769530468181, 0.992816645143621, 0.9928343831685698, 0.9928466078055211, 0.9928564801929678, 0.9928633097061814, 0.9928633634011986, 0.9928744202629064, 0.9928811685728707, 0.9928940727367536, 0.9929069377688804, 0.992907644366037, 0.9929413342619379, 0.9929467697103695, 0.9929621197713658, 0.9929677040082979, 0.9929702809979024, 0.9929783401838083, 0.992988852620558, 0.9929987008851106, 0.9930141060963769, 0.993017192667436, 0.99302649930265, 0.993027162137589, 0.9930517493623577, 0.9930598334236695, 0.9930709611289246, 0.9930735124305439, 0.9930919644190205, 0.993093328610823, 0.9931057338866356, 0.9931137927841733, 0.9931243791598988, 0.9931348545988385, 0.9931386250941046, 0.9931473468669217, 0.9931585174110604, 0.9931783129671372, 0.9931851835371537, 0.9932097426130839, 0.9932165959701437, 0.9932240030324411, 0.9932290980562415, 0.9932311186685165, 0.9932410862765283, 0.9932454465857514, 0.9932566162026877, 0.9932621813076754, 0.9932795740531505, 0.9932901698139378, 0.9932956610385315, 0.9933079809280864, 0.9933204463361895, 0.9933254179437255, 0.9933304492479479, 0.9933342466483714, 0.9933393308082765, 0.9933523502418454, 0.993372796772797, 0.9933760085954322, 0.9933842302335032, 0.9933943038980123, 0.993415956622773, 0.993419435263384, 0.9934251906657452, 0.9934303187776505, 0.9934384726374247, 0.9934423785355309, 0.9934549028891254, 0.9934791254956064, 0.9934995148566979, 0.9935207815599988, 0.9935239620865105, 0.9935307830483004, 0.9935352952227623, 0.9935515582904536, 0.993555300821083, 0.9935616747861516, 0.9935716420140446, 0.9935760211305754, 0.9935799310725357, 0.9935855191444036, 0.9935961413621112, 0.9935981954812257, 0.9936030753103262, 0.9936204285919998, 0.9936273962729527, 0.9936418297262545, 0.9936498768770942, 0.9936618246583717, 0.993675707817202, 0.9936957457829145, 0.9937015491779745, 0.9937290317425238, 0.9937360955620063, 0.9937450391528325, 0.9937531972624251, 0.9937608273416576, 0.9937814613565812, 0.9937864907734826, 0.9938028049277515, 0.9938142125562607, 0.9938182016006644, 0.9938308280975009, 0.9938379064770477, 0.9938375451783014, 0.9938440090156047, 0.9938467623531002, 0.9938551308124159, 0.9938590543732561, 0.9938604016255377, 0.9938649038807802, 0.9938887879680032, 0.9939037532329531, 0.993903975074477, 0.993906042876438, 0.9939111846641843, 0.9939139539549581, 0.9939185558043678, 0.9939330610852251, 0.9939339496825204, 0.9939409415916055, 0.9939641615029225, 0.9939742852623571, 0.9939733017266491, 0.993978494623656, 0.9939830651638878, 0.9939875542624484, 0.9939900961609744, 0.9939996870713332, 0.9940099626557529, 0.9940108957947412, 0.9940149462885437, 0.9940317785312554, 0.9940376421012909, 0.9940459340617864, 0.9940528436178493, 0.9940606508363734, 0.9940638456033369, 0.9940646878515593, 0.994076212100319, 0.9940909228312181, 0.9941031043420476, 0.9941045989546027, 0.9941167797481626, 0.994120067836645, 0.9941271429120723, 0.9941341947946652, 0.9941356074564806, 0.9941496678441754, 0.9941543523486673, 0.9941665467925471, 0.9941756309154735, 0.9941840907269224, 0.9941875291949147, 0.9941903081308539, 0.9942050674875681, 0.994221025865804, 0.9942306003700552, 0.9942352005327575, 0.9942405763215267, 0.9942459465967719, 0.994268848288841, 0.9942804827004518, 0.9942825993335918, 0.9942891586992767, 0.9943014572150649, 0.994308694631571, 0.9943108179259229, 0.9943255686773923, 0.9943328357471959, 0.9943363026852067, 0.9943542324890964, 0.9944024698302182, 0.9944027935983417, 0.9944055137593693, 0.9944159003924904, 0.9944267657238485, 0.9944472094976937, 0.9944507434519915, 0.9944605857420018, 0.9944659312859478, 0.9944748015928409, 0.9944797665483246, 0.9944883279251281, 0.9945131412869294, 0.9945274165761238, 0.9945498739567051, 0.994565075831645, 0.9945792277226339, 0.9945800319173074, 0.9945923645993442, 0.9946045269582909, 0.9946174914992105, 0.9946228249441388, 0.9946267581843965, 0.9946365906813229, 0.9946393715660762, 0.994643382301455, 0.9946494954774739, 0.994652855917487, 0.9946612791147226, 0.9946705534381173, 0.994679451276199, 0.9946822714552566, 0.9946857233554713, 0.9946940638803595, 0.9947133709625683, 0.994722899604967, 0.9947339610387125, 0.9947362107098234, 0.9947580153602341, 0.9947713202767433, 0.9947772425960917, 0.9947793352626076, 0.994789746865767, 0.9947956302463018, 0.99479815778474, 0.9948017545676417, 0.9948096454408573, 0.9948160914762244, 0.9948208600941417, 0.9948297714568324, 0.994840254589249, 0.9948487459179768, 0.9948541090624146, 0.9948697064232402, 0.9948732268441813, 0.9948766599769008, 0.9948828376769736, 0.9948861495397534, 0.9948877890200271, 0.9948916986256053, 0.9948953256418033, 0.9948987477753372, 0.9949041546150308, 0.9949096125813538, 0.9949227210159691, 0.9949236102508542, 0.9949298179728902, 0.9949346233167847, 0.9949730347340371, 0.9949803427807898, 0.9949878406466142, 0.9950008354433634, 0.9950006684629465, 0.9950016811066117, 0.9950090084760693, 0.9950142395171685, 0.9950165290159977, 0.9950276285751788, 0.9950342537383072, 0.9950370675055374, 0.9950444403668544, 0.9950439769766456, 0.9950552412703463, 0.9950557205796048, 0.9950708540566872, 0.9950743424347043, 0.9950754474961486, 0.9950795194021151, 0.9950911952991037, 0.9950965183474196, 0.9951168025475982, 0.9951182745601124, 0.9951231948366277, 0.995129373396631, 0.9951354883365359, 0.9951365586648171, 0.9951362119035562, 0.9951476130856167, 0.995147127338474, 0.9951568513134609, 0.9951640724199551, 0.995165142989425, 0.9951694601747246, 0.9951750694889611, 0.9951783124999596, 0.9951863680635777, 0.9951937921271402, 0.9952067575459738, 0.9952076480755793, 0.9952117529699828, 0.9952288920261465, 0.9952336360779078, 0.9952392557553477, 0.9952569979701559, 0.9952586628936552, 0.9952635129000039, 0.9952651306289416, 0.9952747209249659, 0.9952829331484928, 0.9952950493506999, 0.9952991988510307, 0.9953181106443004, 0.9953230140835738, 0.995326225314536, 0.9953284512139008, 0.995337886239744, 0.9953408052097678, 0.9953436618197828, 0.9953556414321016, 0.995357867130251, 0.9953595487484903, 0.9953690415054943, 0.9953702317357855, 0.9953757391036538, 0.9954047122539704, 0.995411550204246, 0.9954177634150791, 0.9954226878024144, 0.9954245311610936, 0.9954268720000052, 0.9954307796040748, 0.9954538042592049, 0.9954539256539385, 0.9954535310017372, 0.9954576488910762, 0.9954643477625008, 0.9954641833081163, 0.9954774804785093, 0.9954820930159626, 0.9954842828864777, 0.9954854069997764, 0.9954900787617824, 0.9954906375957218, 0.9955038230260782, 0.9955082484000793, 0.9955143010287526, 0.9955221916645991, 0.9955319810749308, 0.9955375272149926, 0.9955512662511458, 0.9955545215031917, 0.9955630320854143, 0.9955674473966377, 0.9955681563241675, 0.9955758426044651, 0.9955790928836852, 0.995587592204221, 0.9956000549090028, 0.9956117041368886, 0.9956115394370102, 0.9956151938265715, 0.9956137842352621, 0.99562001654412, 0.9956290802650836, 0.9956330067574236, 0.995636438306938, 0.9956360940902615, 0.9956385730812256, 0.9956424317549224, 0.9956462249825921, 0.9956491314076967, 0.9956494254275263, 0.9956530942359317, 0.9956603646639306, 0.9956666193758269, 0.9956750727641123, 0.9956762394505193, 0.995679450054205, 0.9956800816828463, 0.9956839465137002, 0.9956929870809433, 0.9957008335294009, 0.9957145501666049, 0.9957241582742663, 0.9957349671818759, 0.9957408532589919, 0.9957486787865626, 0.9957532529367319, 0.9957555465031943, 0.9957598339185456, 0.9957748850256993, 0.9957992916816691, 0.9958095657590378, 0.9958179483861979, 0.9958282065270052, 0.9958326279274344, 0.9958343544876661, 0.9958401766778818, 0.9958475365350988, 0.9958564986882015, 0.9958577442029034, 0.995864593886091, 0.9958717604463422, 0.9958793649483823, 0.9958792104804237, 0.9958821187414529, 0.9958863935940704, 0.9958882800659528, 0.995891226108506, 0.9958935372367724, 0.995903724184095, 0.9959095117025448, 0.9959205270086601, 0.9959249105028658, 0.9959340148698885, 0.9959412814679233, 0.9959439771868757, 0.9959631134671123, 0.995966065764623, 0.9959733024067272, 0.9959753021699533, 0.9959991837799684, 0.9959983297376296, 0.9960004257287425, 0.9959995848941647, 0.9960044442688287, 0.9960076765146212, 0.9960098657827398, 0.9960150070571772, 0.9960231371360688, 0.9960241781468606, 0.9960349083688856, 0.9960413710275327, 0.9960568299731931, 0.9960634572834096, 0.9960755925224055, 0.9960823828140744, 0.9960848010849119, 0.9960896194420599, 0.996100871621299, 0.9961215751005928, 0.9961262113579994, 0.9961307092062065, 0.9961353567725516, 0.9961373942666404, 0.9961475959867085, 0.9961542298080215, 0.9961593906808586, 0.9961597474902459, 0.9961655551747125, 0.996178589844309, 0.9961852754332413, 0.9961875135496917, 0.9961926164461402, 0.9961923273436043, 0.9961941812689353, 0.9961964868902561, 0.9961968079168102, 0.9962090318580753, 0.9962288401296374, 0.9962331172732674, 0.9962462167367635, 0.9962493017858014, 0.996257048975758, 0.9962637379039617, 0.9962830325458648, 0.9962877480747828, 0.9963085066707065, 0.9963135788727637, 0.996322592093267, 0.9963383615119901, 0.9963457380894539, 0.9963607574471387, 0.9964010279274511, 0.9964142028363431, 0.9964240814423122, 0.9964262428354353, 0.996431549767904, 0.9964418544956063, 0.9964629238872863, 0.996475143543253, 0.9964812520342547, 0.9964873349098713, 0.996493966089629, 0.9964940535861997, 0.9965042990544067, 0.9965124193651205, 0.9965224514213425, 0.9965277181981472, 0.9965424138127614, 0.9965452285049231, 0.9965530830031643, 0.996561795820074, 0.9965650644540972, 0.9965668357991406, 0.9965827085188933, 0.9965854980930524, 0.9966021592373705, 0.9966129134745817, 0.9966526213182809, 0.9966657397146371, 0.9966847477624817, 0.9967019657946738, 0.9967237377131495, 0.9967261733351744, 0.9967416936108439, 0.9967456935349678, 0.9967623060897592, 0.9967650609875824, 0.9967817934687903, 0.9967873469177084, 0.9968036325595102, 0.9968278750047173, 0.9968524132314781, 0.9968573030773786, 0.9968692823744664, 0.996884324313706, 0.9969244192540628, 0.9969332097805438, 0.9969498263330252, 0.996957386495786, 0.9969824005127449, 0.9969870770761363, 0.9969991696216008, 0.9970276926347867, 0.9970462370408976, 0.9970728725370334, 0.9970957815104501, 0.9971093401193352, 0.9971347134927907, 0.9971529790660225, 0.9971658176078065, 0.9971938573861554, 0.9972294099039408, 0.9972483170123595, 0.9972890270764213, 0.9973080527740621, 0.9973388628680724, 0.9973653961940557, 0.9974383056158588, 0.9974627553506682, 0.9975237629344776, 0.9975506525787812, 0.9976282980314426, 0.9976832999040203, 0.9977574898402798, 0.9978725022050549, 0.9980210924094318, 0.9981068272542145, 0.9982851205546621, 0.998451470075461]}],                        {\\\"legend\\\": {\\\"title\\\": {\\\"text\\\": \\\"Method\\\"}}, \\\"template\\\": {\\\"data\\\": {\\\"bar\\\": [{\\\"error_x\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"error_y\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"bar\\\"}], \\\"barpolar\\\": [{\\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"barpolar\\\"}], \\\"carpet\\\": [{\\\"aaxis\\\": {\\\"endlinecolor\\\": \\\"#2a3f5f\\\", \\\"gridcolor\\\": \\\"#C8D4E3\\\", \\\"linecolor\\\": \\\"#C8D4E3\\\", \\\"minorgridcolor\\\": \\\"#C8D4E3\\\", \\\"startlinecolor\\\": \\\"#2a3f5f\\\"}, \\\"baxis\\\": {\\\"endlinecolor\\\": \\\"#2a3f5f\\\", \\\"gridcolor\\\": \\\"#C8D4E3\\\", \\\"linecolor\\\": \\\"#C8D4E3\\\", \\\"minorgridcolor\\\": \\\"#C8D4E3\\\", \\\"startlinecolor\\\": \\\"#2a3f5f\\\"}, \\\"type\\\": \\\"carpet\\\"}], \\\"choropleth\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"choropleth\\\"}], \\\"contour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"contour\\\"}], \\\"contourcarpet\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"contourcarpet\\\"}], \\\"heatmap\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"heatmap\\\"}], \\\"heatmapgl\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"heatmapgl\\\"}], \\\"histogram\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"histogram\\\"}], \\\"histogram2d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"histogram2d\\\"}], \\\"histogram2dcontour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"histogram2dcontour\\\"}], \\\"mesh3d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"type\\\": \\\"mesh3d\\\"}], \\\"parcoords\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"parcoords\\\"}], \\\"pie\\\": [{\\\"automargin\\\": true, \\\"type\\\": \\\"pie\\\"}], \\\"scatter\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatter\\\"}], \\\"scatter3d\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatter3d\\\"}], \\\"scattercarpet\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattercarpet\\\"}], \\\"scattergeo\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattergeo\\\"}], \\\"scattergl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattergl\\\"}], \\\"scattermapbox\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scattermapbox\\\"}], \\\"scatterpolar\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterpolar\\\"}], \\\"scatterpolargl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterpolargl\\\"}], \\\"scatterternary\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"type\\\": \\\"scatterternary\\\"}], \\\"surface\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}, \\\"colorscale\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"type\\\": \\\"surface\\\"}], \\\"table\\\": [{\\\"cells\\\": {\\\"fill\\\": {\\\"color\\\": \\\"#EBF0F8\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"header\\\": {\\\"fill\\\": {\\\"color\\\": \\\"#C8D4E3\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"type\\\": \\\"table\\\"}]}, \\\"layout\\\": {\\\"annotationdefaults\\\": {\\\"arrowcolor\\\": \\\"#2a3f5f\\\", \\\"arrowhead\\\": 0, \\\"arrowwidth\\\": 1}, \\\"coloraxis\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 0, \\\"ticks\\\": \\\"\\\"}}, \\\"colorscale\\\": {\\\"diverging\\\": [[0, \\\"#8e0152\\\"], [0.1, \\\"#c51b7d\\\"], [0.2, \\\"#de77ae\\\"], [0.3, \\\"#f1b6da\\\"], [0.4, \\\"#fde0ef\\\"], [0.5, \\\"#f7f7f7\\\"], [0.6, \\\"#e6f5d0\\\"], [0.7, \\\"#b8e186\\\"], [0.8, \\\"#7fbc41\\\"], [0.9, \\\"#4d9221\\\"], [1, \\\"#276419\\\"]], \\\"sequential\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]], \\\"sequentialminus\\\": [[0.0, \\\"#0d0887\\\"], [0.1111111111111111, \\\"#46039f\\\"], [0.2222222222222222, \\\"#7201a8\\\"], [0.3333333333333333, \\\"#9c179e\\\"], [0.4444444444444444, \\\"#bd3786\\\"], [0.5555555555555556, \\\"#d8576b\\\"], [0.6666666666666666, \\\"#ed7953\\\"], [0.7777777777777778, \\\"#fb9f3a\\\"], [0.8888888888888888, \\\"#fdca26\\\"], [1.0, \\\"#f0f921\\\"]]}, \\\"colorway\\\": [\\\"#636efa\\\", \\\"#EF553B\\\", \\\"#00cc96\\\", \\\"#ab63fa\\\", \\\"#FFA15A\\\", \\\"#19d3f3\\\", \\\"#FF6692\\\", \\\"#B6E880\\\", \\\"#FF97FF\\\", \\\"#FECB52\\\"], \\\"font\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}, \\\"geo\\\": {\\\"bgcolor\\\": \\\"white\\\", \\\"lakecolor\\\": \\\"white\\\", \\\"landcolor\\\": \\\"white\\\", \\\"showlakes\\\": true, \\\"showland\\\": true, \\\"subunitcolor\\\": \\\"#C8D4E3\\\"}, \\\"hoverlabel\\\": {\\\"align\\\": \\\"left\\\"}, \\\"hovermode\\\": \\\"closest\\\", \\\"mapbox\\\": {\\\"style\\\": \\\"light\\\"}, \\\"paper_bgcolor\\\": \\\"white\\\", \\\"plot_bgcolor\\\": \\\"white\\\", \\\"polar\\\": {\\\"angularaxis\\\": {\\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"radialaxis\\\": {\\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\"}}, \\\"scene\\\": {\\\"xaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}, \\\"yaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}, \\\"zaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"showbackground\\\": true, \\\"ticks\\\": \\\"\\\", \\\"zerolinecolor\\\": \\\"#EBF0F8\\\"}}, \\\"shapedefaults\\\": {\\\"line\\\": {\\\"color\\\": \\\"#2a3f5f\\\"}}, \\\"ternary\\\": {\\\"aaxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}, \\\"baxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"caxis\\\": {\\\"gridcolor\\\": \\\"#DFE8F3\\\", \\\"linecolor\\\": \\\"#A2B1C6\\\", \\\"ticks\\\": \\\"\\\"}}, \\\"title\\\": {\\\"x\\\": 0.05}, \\\"xaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zerolinecolor\\\": \\\"#EBF0F8\\\", \\\"zerolinewidth\\\": 2}, \\\"yaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"#EBF0F8\\\", \\\"linecolor\\\": \\\"#EBF0F8\\\", \\\"ticks\\\": \\\"\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zerolinecolor\\\": \\\"#EBF0F8\\\", \\\"zerolinewidth\\\": 2}}}, \\\"title\\\": {\\\"text\\\": \\\"Precision and recall by method\\\"}, \\\"xaxis\\\": {\\\"range\\\": [0.8, 1], \\\"title\\\": {\\\"text\\\": \\\"Recall\\\"}}, \\\"yaxis\\\": {\\\"range\\\": [0.8, 1], \\\"title\\\": {\\\"text\\\": \\\"Precision\\\"}}},                        {\\\"responsive\\\": true}                    ).then(function(){\\n\",\n              \"                            \\n\",\n              \"var gd = document.getElementById('22188536-1643-4363-8283-c1826c278d89');\\n\",\n              \"var x = new MutationObserver(function (mutations, observer) {{\\n\",\n              \"        var display = window.getComputedStyle(gd).display;\\n\",\n              \"        if (!display || display === 'none') {{\\n\",\n              \"            console.log([gd, 'removed!']);\\n\",\n              \"            Plotly.purge(gd);\\n\",\n              \"            observer.disconnect();\\n\",\n              \"        }}\\n\",\n              \"}});\\n\",\n              \"\\n\",\n              \"// Listen for the removal of the full notebook cells\\n\",\n              \"var notebookContainer = gd.closest('#notebook-container');\\n\",\n              \"if (notebookContainer) {{\\n\",\n              \"    x.observe(notebookContainer, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"// Listen for the clearing of the current output cell\\n\",\n              \"var outputEl = gd.closest('.output');\\n\",\n              \"if (outputEl) {{\\n\",\n              \"    x.observe(outputEl, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"                        })                };                            </script>        </div>\\n\",\n              \"</body>\\n\",\n              \"</html>\"\n            ]\n          },\n          \"metadata\": {},\n          \"output_type\": \"display_data\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"7IIlO4W2vvxN\",\n        \"outputId\": \"233dc9bf-a30a-4358-aa67-803696c88858\"\n      },\n      \"source\": [\n        \"fig.to_json()\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"data\": {\n            \"application/vnd.google.colaboratory.intrinsic+json\": {\n              \"type\": \"string\"\n            },\n            \"text/plain\": [\n              \"'{\\\"data\\\":[{\\\"hoverinfo\\\":\\\"skip\\\",\\\"line\\\":{\\\"color\\\":\\\"rgba(125, 0, 255, 1)\\\",\\\"width\\\":0.0},\\\"mode\\\":\\\"lines\\\",\\\"name\\\":\\\"\\\",\\\"showlegend\\\":false,\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.5,0.5001,0.5002,0.5003,0.5004,0.5005,0.5006,0.5007,0.5008,0.5009,0.501,0.5011,0.5012,0.5013,0.5014,0.5015,0.5016,0.5017,0.5018,0.5019,0.502,0.5021,0.5022,0.5023,0.5024,0.5025,0.5026,0.5027,0.5028,0.5029,0.503,0.5031,0.5032,0.5033,0.5034,0.5035,0.5036,0.5037,0.5038,0.5039,0.504,0.5041,0.5042,0.5043,0.5044,0.5045,0.5046,0.5047,0.5048,0.5049,0.505,0.5051,0.5052,0.5053,0.5054,0.5055,0.5056,0.5057,0.5058,0.5059,0.506,0.5061,0.5062,0.5063,0.5064,0.5065,0.5066,0.5067,0.5068,0.5069,0.507,0.5071,0.5072,0.5073,0.5074,0.5075,0.5076,0.5077,0.5078,0.5079,0.508,0.5081,0.5082,0.5083,0.5084,0.5085,0.5086,0.5087,0.5088,0.5089,0.509,0.5091,0.5092,0.5093,0.5094,0.5095,0.5096,0.5097,0.5098,0.5099,0.51,0.5101,0.5102,0.5103,0.5104,0.5105,0.5106,0.5107,0.5108,0.5109,0.511,0.5111,0.5112,0.5113,0.5114,0.5115,0.5116,0.5117,0.5118,0.5119,0.512,0.5121,0.5122,0.5123,0.5124,0.5125,0.5126,0.5127,0.5128,0.5129,0.513,0.5131,0.5132,0.5133,0.5134,0.5135,0.5136000000000001,0.5137,0.5138,0.5139,0.514,0.5141,0.5142,0.5143,0.5144,0.5145,0.5146,0.5147,0.5148,0.5149,0.515,0.5151,0.5152,0.5153,0.5154,0.5155,0.5156,0.5157,0.5158,0.5159,0.516,0.5161,0.5162,0.5163,0.5164,0.5165,0.5166,0.5167,0.5168,0.5169,0.517,0.5171,0.5172,0.5173,0.5174,0.5175,0.5176,0.5177,0.5178,0.5179,0.518,0.5181,0.5182,0.5183,0.5184,0.5185,0.5186,0.5187,0.5188,0.5189,0.519,0.5191,0.5192,0.5193,0.5194,0.5195,0.5196,0.5197,0.5198,0.5199,0.52,0.5201,0.5202,0.5203,0.5204,0.5205,0.5206,0.5207,0.5208,0.5209,0.521,0.5211,0.5212,0.5213,0.5214,0.5215,0.5216,0.5217,0.5218,0.5219,0.522,0.5221,0.5222,0.5223,0.5224,0.5225,0.5226,0.5227,0.5228,0.5229,0.523,0.5231,0.5232,0.5233,0.5234,0.5235,0.5236,0.5237,0.5238,0.5239,0.524,0.5241,0.5242,0.5243,0.5244,0.5245,0.5246,0.5246999999999999,0.5248,0.5249,0.525,0.5251,0.5252,0.5253,0.5254,0.5255,0.5256,0.5257000000000001,0.5258,0.5259,0.526,0.5261,0.5262,0.5263,0.5264,0.5265,0.5266,0.5267,0.5268,0.5269,0.527,0.5271,0.5272,0.5273,0.5274,0.5275,0.5276,0.5277000000000001,0.5278,0.5279,0.528,0.5281,0.5282,0.5283,0.5284,0.5285,0.5286,0.5287,0.5288,0.5289,0.529,0.5291,0.5292,0.5293,0.5294,0.5295,0.5296,0.5297,0.5298,0.5299,0.53,0.5301,0.5302,0.5303,0.5304,0.5305,0.5306,0.5307,0.5308,0.5309,0.531,0.5311,0.5312,0.5313,0.5314,0.5315,0.5316,0.5317,0.5318,0.5319,0.532,0.5321,0.5322,0.5323,0.5324,0.5325,0.5326,0.5327,0.5328,0.5329,0.533,0.5331,0.5332,0.5333,0.5334,0.5335,0.5336,0.5337,0.5338,0.5339,0.534,0.5341,0.5342,0.5343,0.5344,0.5345,0.5346,0.5347,0.5348,0.5349,0.535,0.5351,0.5352,0.5353,0.5354,0.5355,0.5356,0.5357,0.5358,0.5359,0.536,0.5361,0.5362,0.5363,0.5364,0.5365,0.5366,0.5367,0.5367999999999999,0.5369,0.537,0.5371,0.5372,0.5373,0.5374,0.5375,0.5376,0.5377,0.5378000000000001,0.5379,0.538,0.5381,0.5382,0.5383,0.5384,0.5385,0.5386,0.5387,0.5388,0.5389,0.539,0.5391,0.5392,0.5393,0.5394,0.5395,0.5396,0.5397,0.5398000000000001,0.5399,0.54,0.5401,0.5402,0.5403,0.5404,0.5405,0.5406,0.5407,0.5408,0.5409,0.541,0.5411,0.5412,0.5413,0.5414,0.5415,0.5416,0.5417,0.5418000000000001,0.5419,0.542,0.5421,0.5422,0.5423,0.5424,0.5425,0.5426,0.5427,0.5428,0.5429,0.543,0.5431,0.5432,0.5433,0.5434,0.5435,0.5436,0.5437,0.5438,0.5439,0.544,0.5441,0.5442,0.5443,0.5444,0.5445,0.5446,0.5447,0.5448,0.5449,0.545,0.5451,0.5452,0.5453,0.5454,0.5455,0.5456,0.5457,0.5458,0.5459,0.546,0.5461,0.5462,0.5463,0.5464,0.5465,0.5466,0.5467,0.5468,0.5469,0.547,0.5471,0.5472,0.5473,0.5474,0.5475,0.5476,0.5477,0.5478,0.5479,0.548,0.5481,0.5482,0.5483,0.5484,0.5485,0.5486,0.5487,0.5488,0.5488999999999999,0.549,0.5491,0.5492,0.5493,0.5494,0.5495,0.5496,0.5497,0.5498,0.5499,0.55,0.5501,0.5502,0.5503,0.5504,0.5505,0.5506,0.5507,0.5508,0.5509,0.551,0.5511,0.5512,0.5513,0.5514,0.5515,0.5516,0.5517,0.5518,0.5519000000000001,0.552,0.5521,0.5522,0.5523,0.5524,0.5525,0.5526,0.5527,0.5528,0.5529,0.553,0.5531,0.5532,0.5533,0.5534,0.5535,0.5536,0.5537,0.5538,0.5539000000000001,0.554,0.5541,0.5542,0.5543,0.5544,0.5545,0.5546,0.5547,0.5548,0.5549,0.555,0.5551,0.5552,0.5553,0.5554,0.5555,0.5556,0.5557,0.5558,0.5559000000000001,0.556,0.5561,0.5562,0.5563,0.5564,0.5565,0.5566,0.5567,0.5568,0.5569,0.557,0.5571,0.5572,0.5573,0.5574,0.5575,0.5576,0.5577,0.5578,0.5579,0.558,0.5581,0.5582,0.5583,0.5584,0.5585,0.5586,0.5587,0.5588,0.5589,0.559,0.5591,0.5592,0.5593,0.5594,0.5595,0.5596,0.5597,0.5598,0.5599,0.56,0.5601,0.5602,0.5603,0.5604,0.5605,0.5606,0.5607,0.5608,0.5609,0.561,0.5611,0.5612,0.5613,0.5614,0.5615,0.5616,0.5617,0.5618,0.5619,0.562,0.5621,0.5622,0.5623,0.5624,0.5625,0.5626,0.5627,0.5628,0.5629,0.563,0.5631,0.5632,0.5633,0.5634,0.5635,0.5636,0.5637,0.5638,0.5639,0.5640000000000001,0.5641,0.5642,0.5643,0.5644,0.5645,0.5646,0.5647,0.5648,0.5649,0.565,0.5651,0.5652,0.5653,0.5654,0.5655,0.5656,0.5657,0.5658,0.5659,0.5660000000000001,0.5661,0.5662,0.5663,0.5664,0.5665,0.5666,0.5667,0.5668,0.5669,0.567,0.5671,0.5672,0.5673,0.5674,0.5675,0.5676,0.5677,0.5678,0.5679,0.5680000000000001,0.5681,0.5682,0.5683,0.5684,0.5685,0.5686,0.5687,0.5688,0.5689,0.569,0.5691,0.5692,0.5693,0.5694,0.5695,0.5696,0.5697,0.5698,0.5699,0.5700000000000001,0.5701,0.5702,0.5703,0.5704,0.5705,0.5706,0.5707,0.5708,0.5709,0.571,0.5710999999999999,0.5712,0.5713,0.5714,0.5715,0.5716,0.5717,0.5718,0.5719,0.5720000000000001,0.5721,0.5722,0.5723,0.5724,0.5725,0.5726,0.5727,0.5728,0.5729,0.573,0.5730999999999999,0.5732,0.5733,0.5734,0.5735,0.5736,0.5737,0.5738,0.5739,0.5740000000000001,0.5741,0.5742,0.5743,0.5744,0.5745,0.5746,0.5747,0.5748,0.5749,0.575,0.5751,0.5752,0.5753,0.5754,0.5755,0.5756,0.5757,0.5758,0.5759,0.576,0.5761000000000001,0.5762,0.5763,0.5764,0.5765,0.5766,0.5767,0.5768,0.5769,0.577,0.5771,0.5772,0.5773,0.5774,0.5775,0.5776,0.5777,0.5778,0.5779,0.578,0.5781000000000001,0.5782,0.5783,0.5784,0.5785,0.5786,0.5787,0.5788,0.5789,0.579,0.5791,0.5792,0.5793,0.5794,0.5795,0.5796,0.5797,0.5798,0.5799,0.58,0.5801000000000001,0.5802,0.5803,0.5804,0.5805,0.5806,0.5807,0.5808,0.5809,0.581,0.5811,0.5812,0.5813,0.5814,0.5815,0.5816,0.5817,0.5818,0.5819,0.582,0.5821000000000001,0.5822,0.5823,0.5824,0.5825,0.5826,0.5827,0.5828,0.5829,0.583,0.5831,0.5832,0.5833,0.5834,0.5835,0.5836,0.5837,0.5838,0.5839,0.584,0.5841000000000001,0.5842,0.5843,0.5844,0.5845,0.5846,0.5847,0.5848,0.5849,0.585,0.5851,0.5851999999999999,0.5853,0.5854,0.5855,0.5856,0.5857,0.5858,0.5859,0.586,0.5861000000000001,0.5862,0.5863,0.5864,0.5865,0.5866,0.5867,0.5868,0.5869,0.587,0.5871,0.5871999999999999,0.5873,0.5874,0.5875,0.5876,0.5877,0.5878,0.5879,0.588,0.5881,0.5882000000000001,0.5883,0.5884,0.5885,0.5886,0.5887,0.5888,0.5889,0.589,0.5891,0.5892,0.5893,0.5894,0.5895,0.5896,0.5897,0.5898,0.5899,0.59,0.5901,0.5902000000000001,0.5903,0.5904,0.5905,0.5906,0.5907,0.5908,0.5909,0.591,0.5911,0.5912,0.5913,0.5914,0.5915,0.5916,0.5917,0.5918,0.5919,0.592,0.5921,0.5922000000000001,0.5923,0.5924,0.5925,0.5926,0.5927,0.5928,0.5929,0.593,0.5931,0.5932,0.5933,0.5934,0.5935,0.5936,0.5937,0.5938,0.5939,0.594,0.5941,0.5942000000000001,0.5943,0.5944,0.5945,0.5946,0.5947,0.5948,0.5949,0.595,0.5951,0.5952,0.5953,0.5954,0.5955,0.5956,0.5957,0.5958,0.5959,0.596,0.5961,0.5962000000000001,0.5963,0.5964,0.5965,0.5966,0.5967,0.5968,0.5969,0.597,0.5971,0.5972,0.5973,0.5974,0.5975,0.5976,0.5977,0.5978,0.5979,0.598,0.5981,0.5982000000000001,0.5983,0.5984,0.5985,0.5986,0.5987,0.5988,0.5989,0.599,0.5991,0.5992,0.5992999999999999,0.5994,0.5995,0.5996,0.5997,0.5998,0.5999,0.6,0.6001,0.6002000000000001,0.6003000000000001,0.6004,0.6005,0.6006,0.6007,0.6008,0.6009,0.601,0.6011,0.6012,0.6013,0.6014,0.6015,0.6016,0.6017,0.6018,0.6019,0.602,0.6021,0.6022,0.6023000000000001,0.6024,0.6025,0.6026,0.6027,0.6028,0.6029,0.603,0.6031,0.6032,0.6033,0.6034,0.6035,0.6036,0.6037,0.6038,0.6039,0.604,0.6041,0.6042,0.6043000000000001,0.6044,0.6045,0.6046,0.6047,0.6048,0.6049,0.605,0.6051,0.6052,0.6053,0.6054,0.6055,0.6056,0.6057,0.6058,0.6059,0.606,0.6061,0.6062,0.6063000000000001,0.6064,0.6065,0.6066,0.6067,0.6068,0.6069,0.607,0.6071,0.6072,0.6073,0.6074,0.6075,0.6076,0.6077,0.6078,0.6079,0.608,0.6081,0.6082,0.6083000000000001,0.6084,0.6085,0.6086,0.6087,0.6088,0.6089,0.609,0.6091,0.6092,0.6093,0.6094,0.6095,0.6096,0.6097,0.6098,0.6099,0.61,0.6101,0.6102,0.6103000000000001,0.6104,0.6105,0.6106,0.6107,0.6108,0.6109,0.611,0.6111,0.6112,0.6113,0.6113999999999999,0.6115,0.6116,0.6117,0.6118,0.6119,0.612,0.6121,0.6122,0.6123000000000001,0.6124,0.6125,0.6126,0.6127,0.6128,0.6129,0.613,0.6131,0.6132,0.6133,0.6134,0.6135,0.6136,0.6137,0.6138,0.6139,0.614,0.6141,0.6142,0.6143,0.6144000000000001,0.6145,0.6146,0.6147,0.6148,0.6149,0.615,0.6151,0.6152,0.6153,0.6154,0.6155,0.6156,0.6157,0.6158,0.6159,0.616,0.6161,0.6162,0.6163,0.6164000000000001,0.6165,0.6166,0.6167,0.6168,0.6169,0.617,0.6171,0.6172,0.6173,0.6174,0.6175,0.6176,0.6177,0.6178,0.6179,0.618,0.6181,0.6182,0.6183,0.6184000000000001,0.6185,0.6186,0.6187,0.6188,0.6189,0.619,0.6191,0.6192,0.6193,0.6194,0.6195,0.6196,0.6197,0.6198,0.6199,0.62,0.6201,0.6202,0.6203,0.6204000000000001,0.6205,0.6206,0.6207,0.6208,0.6209,0.621,0.6211,0.6212,0.6213,0.6214,0.6215,0.6216,0.6217,0.6218,0.6219,0.622,0.6221,0.6222,0.6223,0.6224000000000001,0.6225,0.6226,0.6227,0.6228,0.6229,0.623,0.6231,0.6232,0.6233,0.6234,0.6235,0.6236,0.6237,0.6238,0.6239,0.624,0.6241,0.6242,0.6243,0.6244000000000001,0.6245,0.6246,0.6247,0.6248,0.6249,0.625,0.6251,0.6252,0.6253,0.6254,0.6255,0.6256,0.6257,0.6258,0.6259,0.626,0.6261,0.6262,0.6263,0.6264000000000001,0.6265000000000001,0.6266,0.6267,0.6268,0.6269,0.627,0.6271,0.6272,0.6273,0.6274,0.6275,0.6276,0.6277,0.6278,0.6279,0.628,0.6281,0.6282,0.6283,0.6284000000000001,0.6285000000000001,0.6286,0.6287,0.6288,0.6289,0.629,0.6291,0.6292,0.6293,0.6294,0.6295,0.6295999999999999,0.6297,0.6298,0.6299,0.63,0.6301,0.6302,0.6303,0.6304000000000001,0.6305000000000001,0.6306,0.6307,0.6308,0.6309,0.631,0.6311,0.6312,0.6313,0.6314,0.6315,0.6315999999999999,0.6317,0.6318,0.6319,0.632,0.6321,0.6322,0.6323,0.6324000000000001,0.6325000000000001,0.6326,0.6327,0.6328,0.6329,0.633,0.6331,0.6332,0.6333,0.6334,0.6335,0.6335999999999999,0.6337,0.6338,0.6339,0.634,0.6341,0.6342,0.6343,0.6344000000000001,0.6345000000000001,0.6346,0.6347,0.6348,0.6349,0.635,0.6351,0.6352,0.6353,0.6354,0.6355,0.6355999999999999,0.6357,0.6358,0.6359,0.636,0.6361,0.6362,0.6363,0.6364,0.6365000000000001,0.6366,0.6367,0.6368,0.6369,0.637,0.6371,0.6372,0.6373,0.6374,0.6375,0.6376,0.6377,0.6378,0.6379,0.638,0.6381,0.6382,0.6383,0.6384,0.6385000000000001,0.6386000000000001,0.6387,0.6388,0.6389,0.639,0.6391,0.6392,0.6393,0.6394,0.6395,0.6396,0.6397,0.6398,0.6399,0.64,0.6401,0.6402,0.6403,0.6404,0.6405000000000001,0.6406000000000001,0.6407,0.6408,0.6409,0.641,0.6411,0.6412,0.6413,0.6414,0.6415,0.6416,0.6417,0.6418,0.6419,0.642,0.6421,0.6422,0.6423,0.6424,0.6425000000000001,0.6426000000000001,0.6427,0.6428,0.6429,0.643,0.6431,0.6432,0.6433,0.6434,0.6435,0.6436,0.6436999999999999,0.6438,0.6439,0.644,0.6441,0.6442,0.6443,0.6444,0.6445000000000001,0.6446000000000001,0.6447,0.6448,0.6449,0.645,0.6451,0.6452,0.6453,0.6454,0.6455,0.6456,0.6456999999999999,0.6458,0.6459,0.646,0.6461,0.6462,0.6463,0.6464,0.6465000000000001,0.6466000000000001,0.6467,0.6468,0.6469,0.647,0.6471,0.6472,0.6473,0.6474,0.6475,0.6476,0.6476999999999999,0.6478,0.6479,0.648,0.6481,0.6482,0.6483,0.6484,0.6485000000000001,0.6486000000000001,0.6487,0.6488,0.6489,0.649,0.6491,0.6492,0.6493,0.6494,0.6495,0.6496,0.6496999999999999,0.6498,0.6499,0.65,0.6501,0.6502,0.6503,0.6504,0.6505,0.6506000000000001,0.6507000000000001,0.6508,0.6509,0.651,0.6511,0.6512,0.6513,0.6514,0.6515,0.6516,0.6517,0.6518,0.6519,0.652,0.6521,0.6522,0.6523,0.6524,0.6525,0.6526000000000001,0.6527000000000001,0.6528,0.6529,0.653,0.6531,0.6532,0.6533,0.6534,0.6535,0.6536,0.6537,0.6538,0.6539,0.654,0.6541,0.6542,0.6543,0.6544,0.6545,0.6546000000000001,0.6547000000000001,0.6548,0.6549,0.655,0.6551,0.6552,0.6553,0.6554,0.6555,0.6556,0.6557,0.6557999999999999,0.6559,0.656,0.6561,0.6562,0.6563,0.6564,0.6565,0.6566000000000001,0.6567000000000001,0.6568,0.6569,0.657,0.6571,0.6572,0.6573,0.6574,0.6575,0.6576,0.6577,0.6577999999999999,0.6579,0.658,0.6581,0.6582,0.6583,0.6584,0.6585,0.6586000000000001,0.6587000000000001,0.6588,0.6589,0.659,0.6591,0.6592,0.6593,0.6594,0.6595,0.6596,0.6597,0.6597999999999999,0.6599,0.66,0.6601,0.6602,0.6603,0.6604,0.6605,0.6606000000000001,0.6607000000000001,0.6608,0.6609,0.661,0.6611,0.6612,0.6613,0.6614,0.6615,0.6616,0.6617,0.6617999999999999,0.6619,0.662,0.6621,0.6622,0.6623,0.6624,0.6625,0.6626,0.6627000000000001,0.6628000000000001,0.6629,0.663,0.6631,0.6632,0.6633,0.6634,0.6635,0.6636,0.6637,0.6638,0.6639,0.664,0.6641,0.6642,0.6643,0.6644,0.6645,0.6646,0.6647000000000001,0.6648000000000001,0.6649,0.665,0.6651,0.6652,0.6653,0.6654,0.6655,0.6656,0.6657,0.6658,0.6659,0.666,0.6661,0.6662,0.6663,0.6664,0.6665,0.6666,0.6667000000000001,0.6668000000000001,0.6669,0.667,0.6671,0.6672,0.6673,0.6674,0.6675,0.6676,0.6677,0.6678,0.6679,0.668,0.6681,0.6682,0.6683,0.6684,0.6685,0.6686,0.6687000000000001,0.6688000000000001,0.6689,0.669,0.6691,0.6692,0.6693,0.6694,0.6695,0.6696,0.6697,0.6698,0.6698999999999999,0.67,0.6701,0.6702,0.6703,0.6704,0.6705,0.6706,0.6707000000000001,0.6708000000000001,0.6709,0.671,0.6711,0.6712,0.6713,0.6714,0.6715,0.6716,0.6717,0.6718,0.6718999999999999,0.672,0.6721,0.6722,0.6723,0.6724,0.6725,0.6726,0.6727000000000001,0.6728000000000001,0.6729,0.673,0.6731,0.6732,0.6733,0.6734,0.6735,0.6736,0.6737,0.6738,0.6738999999999999,0.674,0.6741,0.6742,0.6743,0.6744,0.6745,0.6746,0.6747000000000001,0.6748000000000001,0.6749,0.675,0.6751,0.6752,0.6753,0.6754,0.6755,0.6756,0.6757,0.6758,0.6759,0.676,0.6761,0.6762,0.6763,0.6764,0.6765,0.6766,0.6767,0.6768000000000001,0.6769000000000001,0.677,0.6771,0.6772,0.6773,0.6774,0.6775,0.6776,0.6777,0.6778,0.6779,0.678,0.6781,0.6782,0.6783,0.6784,0.6785,0.6786,0.6787,0.6788000000000001,0.6789000000000001,0.679,0.6791,0.6792,0.6793,0.6794,0.6795,0.6796,0.6797,0.6798,0.6799,0.68,0.6801,0.6802,0.6803,0.6804,0.6805,0.6806,0.6807,0.6808000000000001,0.6809000000000001,0.681,0.6811,0.6812,0.6813,0.6814,0.6815,0.6816,0.6817,0.6818,0.6819,0.6819999999999999,0.6821,0.6822,0.6823,0.6824,0.6825,0.6826,0.6827,0.6828000000000001,0.6829000000000001,0.683,0.6831,0.6832,0.6833,0.6834,0.6835,0.6836,0.6837,0.6838,0.6839,0.6839999999999999,0.6841,0.6842,0.6843,0.6844,0.6845,0.6846,0.6847,0.6848000000000001,0.6849000000000001,0.685,0.6851,0.6852,0.6853,0.6854,0.6855,0.6856,0.6857,0.6858,0.6859,0.6859999999999999,0.6861,0.6862,0.6863,0.6864,0.6865,0.6866,0.6867,0.6868000000000001,0.6869000000000001,0.687,0.6871,0.6872,0.6873,0.6874,0.6875,0.6876,0.6877,0.6878,0.6879,0.688,0.6881,0.6882,0.6883,0.6884,0.6885,0.6886,0.6887,0.6888,0.6889000000000001,0.6890000000000001,0.6891,0.6892,0.6893,0.6894,0.6895,0.6896,0.6897,0.6898,0.6899,0.69,0.6901,0.6902,0.6903,0.6904,0.6905,0.6906,0.6907,0.6908,0.6909000000000001,0.6910000000000001,0.6911,0.6912,0.6913,0.6914,0.6915,0.6916,0.6917,0.6918,0.6919,0.692,0.6921,0.6922,0.6923,0.6924,0.6925,0.6926,0.6927,0.6928,0.6929000000000001,0.6930000000000001,0.6931,0.6932,0.6933,0.6934,0.6935,0.6936,0.6937,0.6938,0.6939,0.694,0.6941,0.6942,0.6943,0.6944,0.6945,0.6946,0.6947,0.6948,0.6949000000000001,0.6950000000000001,0.6951,0.6952,0.6953,0.6954,0.6955,0.6956,0.6957,0.6958,0.6959,0.696,0.6960999999999999,0.6962,0.6963,0.6964,0.6965,0.6966,0.6967,0.6968,0.6969000000000001,0.6970000000000001,0.6971,0.6972,0.6973,0.6974,0.6975,0.6976,0.6977,0.6978,0.6979,0.698,0.6980999999999999,0.6982,0.6983,0.6984,0.6985,0.6986,0.6987,0.6988,0.6989000000000001,0.6990000000000001,0.6991,0.6992,0.6993,0.6994,0.6995,0.6996,0.6997,0.6998,0.6999,0.7,0.7001,0.7002,0.7003,0.7004,0.7005,0.7006,0.7007,0.7008,0.7009000000000001,0.7010000000000001,0.7011000000000001,0.7012,0.7013,0.7014,0.7015,0.7016,0.7017,0.7018,0.7019,0.702,0.7021,0.7022,0.7023,0.7024,0.7025,0.7026,0.7027,0.7028,0.7029,0.7030000000000001,0.7031000000000001,0.7032,0.7033,0.7034,0.7035,0.7036,0.7037,0.7038,0.7039,0.704,0.7041,0.7042,0.7043,0.7044,0.7045,0.7046,0.7047,0.7048,0.7049,0.7050000000000001,0.7051000000000001,0.7052,0.7053,0.7054,0.7055,0.7056,0.7057,0.7058,0.7059,0.706,0.7061,0.7062,0.7063,0.7064,0.7065,0.7066,0.7067,0.7068,0.7069,0.7070000000000001,0.7071000000000001,0.7072,0.7073,0.7074,0.7075,0.7076,0.7077,0.7078,0.7079,0.708,0.7081,0.7081999999999999,0.7083,0.7084,0.7085,0.7086,0.7087,0.7088,0.7089,0.7090000000000001,0.7091000000000001,0.7092,0.7093,0.7094,0.7095,0.7096,0.7097,0.7098,0.7099,0.71,0.7101,0.7101999999999999,0.7103,0.7104,0.7105,0.7106,0.7107,0.7108,0.7109,0.7110000000000001,0.7111000000000001,0.7112,0.7113,0.7114,0.7115,0.7116,0.7117,0.7118,0.7119,0.712,0.7121,0.7121999999999999,0.7123,0.7124,0.7125,0.7126,0.7127,0.7128,0.7129,0.7130000000000001,0.7131000000000001,0.7132000000000001,0.7133,0.7134,0.7135,0.7136,0.7137,0.7138,0.7139,0.714,0.7141,0.7142,0.7143,0.7144,0.7145,0.7146,0.7147,0.7148,0.7149,0.715,0.7151000000000001,0.7152000000000001,0.7153,0.7154,0.7155,0.7156,0.7157,0.7158,0.7159,0.716,0.7161,0.7162,0.7163,0.7164,0.7165,0.7166,0.7167,0.7168,0.7169,0.717,0.7171000000000001,0.7172000000000001,0.7173,0.7174,0.7175,0.7176,0.7177,0.7178,0.7179,0.718,0.7181,0.7182,0.7183,0.7184,0.7185,0.7186,0.7187,0.7188,0.7189,0.719,0.7191000000000001,0.7192000000000001,0.7193,0.7194,0.7195,0.7196,0.7197,0.7198,0.7199,0.72,0.7201,0.7202,0.7203,0.7204,0.7205,0.7206,0.7207,0.7208,0.7209,0.721,0.7211000000000001,0.7212000000000001,0.7213,0.7214,0.7215,0.7216,0.7217,0.7218,0.7219,0.722,0.7221,0.7222,0.7222999999999999,0.7224,0.7225,0.7226,0.7227,0.7228,0.7229,0.723,0.7231000000000001,0.7232000000000001,0.7233,0.7234,0.7235,0.7236,0.7237,0.7238,0.7239,0.724,0.7241,0.7242,0.7242999999999999,0.7244,0.7245,0.7246,0.7247,0.7248,0.7249,0.725,0.7251000000000001,0.7252000000000001,0.7253000000000001,0.7254,0.7255,0.7256,0.7257,0.7258,0.7259,0.726,0.7261,0.7262,0.7263,0.7264,0.7265,0.7266,0.7267,0.7268,0.7269,0.727,0.7271000000000001,0.7272000000000001,0.7273000000000001,0.7274,0.7275,0.7276,0.7277,0.7278,0.7279,0.728,0.7281,0.7282,0.7283,0.7284,0.7285,0.7286,0.7287,0.7288,0.7289,0.729,0.7291,0.7292000000000001,0.7293000000000001,0.7294,0.7295,0.7296,0.7297,0.7298,0.7299,0.73,0.7301,0.7302,0.7303,0.7304,0.7305,0.7306,0.7307,0.7308,0.7309,0.731,0.7311,0.7312000000000001,0.7313000000000001,0.7314,0.7315,0.7316,0.7317,0.7318,0.7319,0.732,0.7321,0.7322,0.7323,0.7324,0.7325,0.7326,0.7327,0.7328,0.7329,0.733,0.7331,0.7332000000000001,0.7333000000000001,0.7334,0.7335,0.7336,0.7337,0.7338,0.7339,0.734,0.7341,0.7342,0.7343,0.7344,0.7345,0.7346,0.7347,0.7348,0.7349,0.735,0.7351,0.7352000000000001,0.7353000000000001,0.7354,0.7355,0.7356,0.7357,0.7358,0.7359,0.736,0.7361,0.7362,0.7363,0.7363999999999999,0.7365,0.7366,0.7367,0.7368,0.7369,0.737,0.7371,0.7372000000000001,0.7373000000000001,0.7374,0.7375,0.7376,0.7377,0.7378,0.7379,0.738,0.7381,0.7382,0.7383,0.7384,0.7385,0.7386,0.7387,0.7388,0.7389,0.739,0.7391,0.7392000000000001,0.7393000000000001,0.7394000000000001,0.7395,0.7396,0.7397,0.7398,0.7399,0.74,0.7401,0.7402,0.7403,0.7404,0.7405,0.7406,0.7407,0.7408,0.7409,0.741,0.7411,0.7412,0.7413000000000001,0.7414000000000001,0.7415,0.7416,0.7417,0.7418,0.7419,0.742,0.7421,0.7422,0.7423,0.7424,0.7425,0.7426,0.7427,0.7428,0.7429,0.743,0.7431,0.7432,0.7433000000000001,0.7434000000000001,0.7435,0.7436,0.7437,0.7438,0.7439,0.744,0.7441,0.7442,0.7443,0.7444,0.7445,0.7446,0.7447,0.7448,0.7449,0.745,0.7451,0.7452,0.7453000000000001,0.7454000000000001,0.7455,0.7456,0.7457,0.7458,0.7459,0.746,0.7461,0.7462,0.7463,0.7464,0.7465,0.7466,0.7467,0.7468,0.7469,0.747,0.7471,0.7472,0.7473000000000001,0.7474000000000001,0.7475,0.7476,0.7477,0.7478,0.7479,0.748,0.7481,0.7482,0.7483,0.7484,0.7484999999999999,0.7486,0.7487,0.7488,0.7489,0.749,0.7491,0.7492,0.7493000000000001,0.7494000000000001,0.7495,0.7496,0.7497,0.7498,0.7499,0.75,0.7501,0.7502,0.7503,0.7504,0.7505,0.7505999999999999,0.7507,0.7508,0.7509,0.751,0.7511,0.7512000000000001,0.7513000000000001,0.7514000000000001,0.7515000000000001,0.7516,0.7517,0.7518,0.7519,0.752,0.7521,0.7522,0.7523,0.7524,0.7525,0.7525999999999999,0.7527,0.7528,0.7529,0.753,0.7531,0.7532000000000001,0.7533000000000001,0.7534000000000001,0.7535000000000001,0.7536,0.7537,0.7538,0.7539,0.754,0.7541,0.7542,0.7543,0.7544,0.7545,0.7545999999999999,0.7547,0.7548,0.7549,0.755,0.7551,0.7552000000000001,0.7553000000000001,0.7554000000000001,0.7555000000000001,0.7556,0.7557,0.7558,0.7559,0.756,0.7561,0.7562,0.7563,0.7564,0.7565,0.7565999999999999,0.7567,0.7568,0.7569,0.757,0.7571,0.7572000000000001,0.7573000000000001,0.7574000000000001,0.7575000000000001,0.7576,0.7577,0.7578,0.7579,0.758,0.7581,0.7582,0.7583,0.7584,0.7585,0.7585999999999999,0.7586999999999999,0.7588,0.7589,0.759,0.7591,0.7592,0.7593000000000001,0.7594000000000001,0.7595000000000001,0.7596,0.7597,0.7598,0.7599,0.76,0.7601,0.7602,0.7603,0.7604,0.7605,0.7605999999999999,0.7606999999999999,0.7608,0.7609,0.761,0.7611,0.7612,0.7613000000000001,0.7614000000000001,0.7615000000000001,0.7616,0.7617,0.7618,0.7619,0.762,0.7621,0.7622,0.7623,0.7624,0.7625,0.7626,0.7626999999999999,0.7628,0.7629,0.763,0.7631,0.7632,0.7633000000000001,0.7634000000000001,0.7635000000000001,0.7636000000000001,0.7637,0.7638,0.7639,0.764,0.7641,0.7642,0.7643,0.7644,0.7645,0.7646,0.7646999999999999,0.7648,0.7649,0.765,0.7651,0.7652,0.7653000000000001,0.7654000000000001,0.7655000000000001,0.7656000000000001,0.7657,0.7658,0.7659,0.766,0.7661,0.7662,0.7663,0.7664,0.7665,0.7666,0.7666999999999999,0.7668,0.7669,0.767,0.7671,0.7672,0.7673000000000001,0.7674000000000001,0.7675000000000001,0.7676000000000001,0.7677,0.7678,0.7679,0.768,0.7681,0.7682,0.7683,0.7684,0.7685,0.7686,0.7686999999999999,0.7688,0.7689,0.769,0.7691,0.7692,0.7693000000000001,0.7694000000000001,0.7695000000000001,0.7696000000000001,0.7697,0.7698,0.7699,0.77,0.7701,0.7702,0.7703,0.7704,0.7705,0.7706,0.7706999999999999,0.7708,0.7709,0.771,0.7711,0.7712,0.7713,0.7714000000000001,0.7715000000000001,0.7716000000000001,0.7717,0.7718,0.7719,0.772,0.7721,0.7722,0.7723,0.7724,0.7725,0.7726,0.7726999999999999,0.7727999999999999,0.7729,0.773,0.7731,0.7732,0.7733,0.7734000000000001,0.7735000000000001,0.7736000000000001,0.7737,0.7738,0.7739,0.774,0.7741,0.7742,0.7743,0.7744,0.7745,0.7746,0.7746999999999999,0.7747999999999999,0.7749,0.775,0.7751,0.7752,0.7753,0.7754000000000001,0.7755000000000001,0.7756000000000001,0.7757000000000001,0.7758,0.7759,0.776,0.7761,0.7762,0.7763,0.7764,0.7765,0.7766,0.7767,0.7767999999999999,0.7769,0.777,0.7771,0.7772,0.7773,0.7774000000000001,0.7775000000000001,0.7776000000000001,0.7777000000000001,0.7778,0.7779,0.778,0.7781,0.7782,0.7783,0.7784,0.7785,0.7786,0.7787,0.7787999999999999,0.7789,0.779,0.7791,0.7792,0.7793,0.7794000000000001,0.7795000000000001,0.7796000000000001,0.7797000000000001,0.7798,0.7799,0.78,0.7801,0.7802,0.7803,0.7804,0.7805,0.7806,0.7807,0.7807999999999999,0.7809,0.781,0.7811,0.7812,0.7813,0.7814000000000001,0.7815000000000001,0.7816000000000001,0.7817000000000001,0.7818,0.7819,0.782,0.7821,0.7822,0.7823,0.7824,0.7825,0.7826,0.7827,0.7827999999999999,0.7829,0.783,0.7831,0.7832,0.7833,0.7834000000000001,0.7835000000000001,0.7836000000000001,0.7837000000000001,0.7838,0.7839,0.784,0.7841,0.7842,0.7843,0.7844,0.7845,0.7846,0.7847,0.7847999999999999,0.7848999999999999,0.785,0.7851,0.7852,0.7853,0.7854,0.7855000000000001,0.7856000000000001,0.7857000000000001,0.7858,0.7859,0.786,0.7861,0.7862,0.7863,0.7864,0.7865,0.7866,0.7867,0.7867999999999999,0.7868999999999999,0.787,0.7871,0.7872,0.7873,0.7874,0.7875000000000001,0.7876000000000001,0.7877000000000001,0.7878000000000001,0.7879,0.788,0.7881,0.7882,0.7883,0.7884,0.7885,0.7886,0.7887,0.7888,0.7888999999999999,0.789,0.7891,0.7892,0.7893,0.7894,0.7895000000000001,0.7896000000000001,0.7897000000000001,0.7898000000000001,0.7899,0.79,0.7901,0.7902,0.7903,0.7904,0.7905,0.7906,0.7907,0.7908,0.7908999999999999,0.791,0.7911,0.7912,0.7913,0.7914,0.7915000000000001,0.7916000000000001,0.7917000000000001,0.7918000000000001,0.7919,0.792,0.7921,0.7922,0.7923,0.7924,0.7925,0.7926,0.7927,0.7928,0.7928999999999999,0.793,0.7931,0.7932,0.7933,0.7934,0.7935000000000001,0.7936000000000001,0.7937000000000001,0.7938000000000001,0.7939,0.794,0.7941,0.7942,0.7943,0.7944,0.7945,0.7946,0.7947,0.7948,0.7948999999999999,0.795,0.7951,0.7952,0.7953,0.7954,0.7955000000000001,0.7956000000000001,0.7957000000000001,0.7958000000000001,0.7959,0.796,0.7961,0.7962,0.7963,0.7964,0.7965,0.7966,0.7967,0.7968,0.7968999999999999,0.797,0.7971,0.7972,0.7973,0.7974,0.7975,0.7976000000000001,0.7977000000000001,0.7978000000000001,0.7979,0.798,0.7981,0.7982,0.7983,0.7984,0.7985,0.7986,0.7987,0.7988,0.7988999999999999,0.7989999999999999,0.7991,0.7992,0.7993,0.7994,0.7995,0.7996000000000001,0.7997000000000001,0.7998000000000001,0.7999,0.8,0.8001,0.8002,0.8003,0.8004,0.8005,0.8006,0.8007,0.8008,0.8009,0.8009999999999999,0.8011,0.8012,0.8013,0.8014,0.8015,0.8016000000000001,0.8017000000000001,0.8018000000000001,0.8019000000000001,0.802,0.8021,0.8022,0.8023,0.8024,0.8025,0.8026,0.8027,0.8028,0.8029,0.8029999999999999,0.8031,0.8032,0.8033,0.8034,0.8035,0.8036000000000001,0.8037000000000001,0.8038000000000001,0.8039000000000001,0.804,0.8041,0.8042,0.8043,0.8044,0.8045,0.8046,0.8047,0.8048,0.8049,0.8049999999999999,0.8051,0.8052,0.8053,0.8054,0.8055,0.8056000000000001,0.8057000000000001,0.8058000000000001,0.8059000000000001,0.806,0.8061,0.8062,0.8063,0.8064,0.8065,0.8066,0.8067,0.8068,0.8069,0.8069999999999999,0.8071,0.8072,0.8073,0.8074,0.8075,0.8076000000000001,0.8077000000000001,0.8078000000000001,0.8079000000000001,0.808,0.8081,0.8082,0.8083,0.8084,0.8085,0.8086,0.8087,0.8088,0.8089,0.8089999999999999,0.8091,0.8092,0.8093,0.8094,0.8095,0.8096000000000001,0.8097000000000001,0.8098000000000001,0.8099000000000001,0.81,0.8101,0.8102,0.8103,0.8104,0.8105,0.8106,0.8107,0.8108,0.8109,0.8109999999999999,0.8110999999999999,0.8112,0.8113,0.8114,0.8115,0.8116,0.8117000000000001,0.8118000000000001,0.8119000000000001,0.812,0.8121,0.8122,0.8123,0.8124,0.8125,0.8126,0.8127,0.8128,0.8129,0.813,0.8130999999999999,0.8132,0.8133,0.8134,0.8135,0.8136,0.8137000000000001,0.8138000000000001,0.8139000000000001,0.8140000000000001,0.8141,0.8142,0.8143,0.8144,0.8145,0.8146,0.8147,0.8148,0.8149,0.815,0.8150999999999999,0.8152,0.8153,0.8154,0.8155,0.8156,0.8157000000000001,0.8158000000000001,0.8159000000000001,0.8160000000000001,0.8161,0.8162,0.8163,0.8164,0.8165,0.8166,0.8167,0.8168,0.8169,0.817,0.8170999999999999,0.8172,0.8173,0.8174,0.8175,0.8176,0.8177000000000001,0.8178000000000001,0.8179000000000001,0.8180000000000001,0.8181,0.8182,0.8183,0.8184,0.8185,0.8186,0.8187,0.8188,0.8189,0.819,0.8190999999999999,0.8192,0.8193,0.8194,0.8195,0.8196,0.8197000000000001,0.8198000000000001,0.8199000000000001,0.8200000000000001,0.8201,0.8202,0.8203,0.8204,0.8205,0.8206,0.8207,0.8208,0.8209,0.821,0.8210999999999999,0.8212,0.8213,0.8214,0.8215,0.8216,0.8217000000000001,0.8218000000000001,0.8219000000000001,0.8220000000000001,0.8221,0.8222,0.8223,0.8224,0.8225,0.8226,0.8227,0.8228,0.8229,0.823,0.8230999999999999,0.8232,0.8233,0.8234,0.8235,0.8236,0.8237000000000001,0.8238000000000001,0.8239000000000001,0.8240000000000001,0.8241,0.8242,0.8243,0.8244,0.8245,0.8246,0.8247,0.8248,0.8249,0.825,0.8251,0.8251999999999999,0.8253,0.8254,0.8255,0.8256,0.8257,0.8258000000000001,0.8259000000000001,0.8260000000000001,0.8261000000000001,0.8262,0.8263,0.8264,0.8265,0.8266,0.8267,0.8268,0.8269,0.827,0.8271,0.8271999999999999,0.8273,0.8274,0.8275,0.8276,0.8277,0.8278000000000001,0.8279000000000001,0.8280000000000001,0.8281000000000001,0.8282,0.8283,0.8284,0.8285,0.8286,0.8287,0.8288,0.8289,0.829,0.8291,0.8291999999999999,0.8293,0.8294,0.8295,0.8296,0.8297,0.8298000000000001,0.8299000000000001,0.8300000000000001,0.8301000000000001,0.8302,0.8303,0.8304,0.8305,0.8306,0.8307,0.8308,0.8309,0.831,0.8311,0.8311999999999999,0.8313,0.8314,0.8315,0.8316,0.8317,0.8318000000000001,0.8319000000000001,0.8320000000000001,0.8321000000000001,0.8322,0.8323,0.8324,0.8325,0.8326,0.8327,0.8328,0.8329,0.833,0.8331,0.8331999999999999,0.8333,0.8334,0.8335,0.8336,0.8337,0.8338000000000001,0.8339000000000001,0.8340000000000001,0.8341000000000001,0.8342,0.8343,0.8344,0.8345,0.8346,0.8347,0.8348,0.8349,0.835,0.8351,0.8351999999999999,0.8353,0.8354,0.8355,0.8356,0.8357,0.8358000000000001,0.8359000000000001,0.8360000000000001,0.8361000000000001,0.8362,0.8363,0.8364,0.8365,0.8366,0.8367,0.8368,0.8369,0.837,0.8371,0.8371999999999999,0.8372999999999999,0.8374,0.8375,0.8376,0.8377,0.8378,0.8379000000000001,0.8380000000000001,0.8381000000000001,0.8382000000000001,0.8383,0.8384,0.8385,0.8386,0.8387,0.8388,0.8389,0.839,0.8391,0.8392,0.8392999999999999,0.8394,0.8395,0.8396,0.8397,0.8398,0.8399000000000001,0.8400000000000001,0.8401000000000001,0.8402000000000001,0.8403,0.8404,0.8405,0.8406,0.8407,0.8408,0.8409,0.841,0.8411,0.8412,0.8412999999999999,0.8414,0.8415,0.8416,0.8417,0.8418,0.8419000000000001,0.8420000000000001,0.8421000000000001,0.8422000000000001,0.8423,0.8424,0.8425,0.8426,0.8427,0.8428,0.8429,0.843,0.8431,0.8432,0.8432999999999999,0.8434,0.8435,0.8436,0.8437,0.8438,0.8439000000000001,0.8440000000000001,0.8441000000000001,0.8442000000000001,0.8443,0.8444,0.8445,0.8446,0.8447,0.8448,0.8449,0.845,0.8451,0.8452,0.8452999999999999,0.8454,0.8455,0.8456,0.8457,0.8458,0.8459000000000001,0.8460000000000001,0.8461000000000001,0.8462000000000001,0.8463,0.8464,0.8465,0.8466,0.8467,0.8468,0.8469,0.847,0.8471,0.8472,0.8472999999999999,0.8474,0.8475,0.8476,0.8477,0.8478,0.8479000000000001,0.8480000000000001,0.8481000000000001,0.8482000000000001,0.8483,0.8484,0.8485,0.8486,0.8487,0.8488,0.8489,0.849,0.8491,0.8492,0.8492999999999999,0.8494,0.8495,0.8496,0.8497,0.8498,0.8499000000000001,0.8500000000000001,0.8501000000000001,0.8502000000000001,0.8503000000000001,0.8504,0.8505,0.8506,0.8507,0.8508,0.8509,0.851,0.8511,0.8512,0.8513,0.8513999999999999,0.8515,0.8516,0.8517,0.8518,0.8519,0.8520000000000001,0.8521000000000001,0.8522000000000001,0.8523000000000001,0.8524,0.8525,0.8526,0.8527,0.8528,0.8529,0.853,0.8531,0.8532,0.8533,0.8533999999999999,0.8535,0.8536,0.8537,0.8538,0.8539,0.8540000000000001,0.8541000000000001,0.8542000000000001,0.8543000000000001,0.8544,0.8545,0.8546,0.8547,0.8548,0.8549,0.855,0.8551,0.8552,0.8553,0.8553999999999999,0.8555,0.8556,0.8557,0.8558,0.8559,0.8560000000000001,0.8561000000000001,0.8562000000000001,0.8563000000000001,0.8564,0.8565,0.8566,0.8567,0.8568,0.8569,0.857,0.8571,0.8572,0.8573,0.8573999999999999,0.8575,0.8576,0.8577,0.8578,0.8579,0.8580000000000001,0.8581000000000001,0.8582000000000001,0.8583000000000001,0.8584,0.8585,0.8586,0.8587,0.8588,0.8589,0.859,0.8591,0.8592,0.8593,0.8593999999999999,0.8595,0.8596,0.8597,0.8598,0.8599,0.8600000000000001,0.8601000000000001,0.8602000000000001,0.8603000000000001,0.8604,0.8605,0.8606,0.8607,0.8608,0.8609,0.861,0.8611,0.8612,0.8613,0.8613999999999999,0.8615,0.8616,0.8617,0.8618,0.8619,0.8620000000000001,0.8621000000000001,0.8622000000000001,0.8623000000000001,0.8624,0.8625,0.8626,0.8627,0.8628,0.8629,0.863,0.8631,0.8632,0.8633,0.8634,0.8634999999999999,0.8636,0.8637,0.8638,0.8639,0.864,0.8641000000000001,0.8642000000000001,0.8643000000000001,0.8644000000000001,0.8645,0.8646,0.8647,0.8648,0.8649,0.865,0.8651,0.8652,0.8653,0.8654,0.8654999999999999,0.8656,0.8657,0.8658,0.8659,0.866,0.8661000000000001,0.8662000000000001,0.8663000000000001,0.8664000000000001,0.8665,0.8666,0.8667,0.8668,0.8669,0.867,0.8671,0.8672,0.8673,0.8674,0.8674999999999999,0.8676,0.8677,0.8678,0.8679,0.868,0.8681000000000001,0.8682000000000001,0.8683000000000001,0.8684000000000001,0.8685,0.8686,0.8687,0.8688,0.8689,0.869,0.8691,0.8692,0.8693,0.8694,0.8694999999999999,0.8696,0.8697,0.8698,0.8699,0.87,0.8701000000000001,0.8702000000000001,0.8703000000000001,0.8704000000000001,0.8705,0.8706,0.8707,0.8708,0.8709,0.871,0.8711,0.8712,0.8713,0.8714,0.8714999999999999,0.8716,0.8717,0.8718,0.8719,0.872,0.8721000000000001,0.8722000000000001,0.8723000000000001,0.8724000000000001,0.8725,0.8726,0.8727,0.8728,0.8729,0.873,0.8731,0.8732,0.8733,0.8734,0.8734999999999999,0.8736,0.8737,0.8738,0.8739,0.874,0.8741000000000001,0.8742000000000001,0.8743000000000001,0.8744000000000001,0.8745,0.8746,0.8747,0.8748,0.8749,0.875,0.8751,0.8752,0.8753,0.8754,0.8755,0.8756,0.8757,0.8758,0.8759,0.876,0.8761000000000001,0.8762000000000001,0.8763000000000001,0.8764000000000001,0.8765000000000001,0.8766,0.8767,0.8768,0.8769,0.877,0.8771,0.8772,0.8773,0.8774,0.8775,0.8775999999999999,0.8777,0.8778,0.8779,0.878,0.8781,0.8782000000000001,0.8783000000000001,0.8784000000000001,0.8785000000000001,0.8786,0.8787,0.8788,0.8789,0.879,0.8791,0.8792,0.8793,0.8794,0.8795,0.8795999999999999,0.8797,0.8798,0.8799,0.88,0.8801,0.8802000000000001,0.8803000000000001,0.8804000000000001,0.8805000000000001,0.8806,0.8807,0.8808,0.8809,0.881,0.8811,0.8812,0.8813,0.8814,0.8815,0.8815999999999999,0.8817,0.8818,0.8819,0.882,0.8821,0.8822000000000001,0.8823000000000001,0.8824000000000001,0.8825000000000001,0.8826,0.8827,0.8828,0.8829,0.883,0.8831,0.8832,0.8833,0.8834,0.8835,0.8835999999999999,0.8837,0.8838,0.8839,0.884,0.8841,0.8842000000000001,0.8843000000000001,0.8844000000000001,0.8845000000000001,0.8846,0.8847,0.8848,0.8849,0.885,0.8851,0.8852,0.8853,0.8854,0.8855,0.8855999999999999,0.8857,0.8858,0.8859,0.886,0.8861,0.8862000000000001,0.8863000000000001,0.8864000000000001,0.8865000000000001,0.8866,0.8867,0.8868,0.8869,0.887,0.8871,0.8872,0.8873,0.8874,0.8875,0.8876,0.8877,0.8878,0.8879,0.888,0.8881,0.8882000000000001,0.8883000000000001,0.8884000000000001,0.8885000000000001,0.8886000000000001,0.8887,0.8888,0.8889,0.889,0.8891,0.8892,0.8893,0.8894,0.8895,0.8896,0.8897,0.8898,0.8899,0.89,0.8901,0.8902,0.8903000000000001,0.8904000000000001,0.8905000000000001,0.8906000000000001,0.8907,0.8908,0.8909,0.891,0.8911,0.8912,0.8913,0.8914,0.8915,0.8916,0.8916999999999999,0.8918,0.8919,0.892,0.8921,0.8922,0.8923000000000001,0.8924000000000001,0.8925000000000001,0.8926000000000001,0.8927,0.8928,0.8929,0.893,0.8931,0.8932,0.8933,0.8934,0.8935,0.8936,0.8936999999999999,0.8938,0.8939,0.894,0.8941,0.8942,0.8943000000000001,0.8944000000000001,0.8945000000000001,0.8946000000000001,0.8947,0.8948,0.8949,0.895,0.8951,0.8952,0.8953,0.8954,0.8955,0.8956,0.8956999999999999,0.8958,0.8959,0.896,0.8961,0.8962,0.8963000000000001,0.8964000000000001,0.8965000000000001,0.8966000000000001,0.8967,0.8968,0.8969,0.897,0.8971,0.8972,0.8973,0.8974,0.8975,0.8976,0.8976999999999999,0.8978,0.8979,0.898,0.8981,0.8982,0.8983000000000001,0.8984000000000001,0.8985000000000001,0.8986000000000001,0.8987,0.8988,0.8989,0.899,0.8991,0.8992,0.8993,0.8994,0.8995,0.8996,0.8996999999999999,0.8998,0.8999,0.9,0.9001,0.9002,0.9003000000000001,0.9004000000000001,0.9005000000000001,0.9006000000000001,0.9007000000000001,0.9008,0.9009,0.901,0.9011,0.9012,0.9013,0.9014,0.9015,0.9016,0.9017,0.9018,0.9019,0.902,0.9021,0.9022,0.9023000000000001,0.9024000000000001,0.9025000000000001,0.9026000000000001,0.9027000000000001,0.9028,0.9029,0.903,0.9031,0.9032,0.9033,0.9034,0.9035,0.9036,0.9037,0.9037999999999999,0.9039,0.904,0.9041,0.9042,0.9043,0.9044000000000001,0.9045000000000001,0.9046000000000001,0.9047000000000001,0.9048,0.9049,0.905,0.9051,0.9052,0.9053,0.9054,0.9055,0.9056,0.9057,0.9057999999999999,0.9059,0.906,0.9061,0.9062,0.9063,0.9064000000000001,0.9065000000000001,0.9066000000000001,0.9067000000000001,0.9068,0.9069,0.907,0.9071,0.9072,0.9073,0.9074,0.9075,0.9076,0.9077,0.9077999999999999,0.9079,0.908,0.9081,0.9082,0.9083,0.9084000000000001,0.9085000000000001,0.9086000000000001,0.9087000000000001,0.9088,0.9089,0.909,0.9091,0.9092,0.9093,0.9094,0.9095,0.9096,0.9097,0.9097999999999999,0.9099,0.91,0.9101,0.9102,0.9103,0.9104000000000001,0.9105000000000001,0.9106000000000001,0.9107000000000001,0.9108,0.9109,0.911,0.9111,0.9112,0.9113,0.9114,0.9115,0.9116,0.9117,0.9117999999999999,0.9119,0.912,0.9121,0.9122,0.9123,0.9124000000000001,0.9125000000000001,0.9126000000000001,0.9127000000000001,0.9128000000000001,0.9129,0.913,0.9131,0.9132,0.9133,0.9134,0.9135,0.9136,0.9137,0.9138,0.9139,0.914,0.9141,0.9142,0.9143,0.9144000000000001,0.9145000000000001,0.9146000000000001,0.9147000000000001,0.9148000000000001,0.9149,0.915,0.9151,0.9152,0.9153,0.9154,0.9155,0.9156,0.9157,0.9158,0.9159,0.916,0.9161,0.9162,0.9163,0.9164,0.9165000000000001,0.9166000000000001,0.9167000000000001,0.9168000000000001,0.9169,0.917,0.9171,0.9172,0.9173,0.9174,0.9175,0.9176,0.9177,0.9178,0.9178999999999999,0.918,0.9181,0.9182,0.9183,0.9184,0.9185000000000001,0.9186000000000001,0.9187000000000001,0.9188000000000001,0.9189,0.919,0.9191,0.9192,0.9193,0.9194,0.9195,0.9196,0.9197,0.9198,0.9198999999999999,0.92,0.9201,0.9202,0.9203,0.9204,0.9205000000000001,0.9206000000000001,0.9207000000000001,0.9208000000000001,0.9209,0.921,0.9211,0.9212,0.9213,0.9214,0.9215,0.9216,0.9217,0.9218,0.9218999999999999,0.922,0.9221,0.9222,0.9223,0.9224,0.9225000000000001,0.9226000000000001,0.9227000000000001,0.9228000000000001,0.9229,0.923,0.9231,0.9232,0.9233,0.9234,0.9235,0.9236,0.9237,0.9238,0.9238999999999999,0.924,0.9241,0.9242,0.9243,0.9244,0.9245000000000001,0.9246000000000001,0.9247000000000001,0.9248000000000001,0.9249,0.925,0.9251,0.9252,0.9253,0.9254,0.9255,0.9256,0.9257,0.9258,0.9259,0.926,0.9261,0.9262,0.9263,0.9264,0.9265000000000001,0.9266000000000001,0.9267000000000001,0.9268000000000001,0.9269000000000001,0.927,0.9271,0.9272,0.9273,0.9274,0.9275,0.9276,0.9277,0.9278,0.9279,0.928,0.9281,0.9282,0.9283,0.9284,0.9285000000000001,0.9286000000000001,0.9287000000000001,0.9288000000000001,0.9289000000000001,0.929,0.9291,0.9292,0.9293,0.9294,0.9295,0.9296,0.9297,0.9298,0.9299,0.9299999999999999,0.9301,0.9302,0.9303,0.9304,0.9305,0.9306000000000001,0.9307000000000001,0.9308000000000001,0.9309000000000001,0.931,0.9311,0.9312,0.9313,0.9314,0.9315,0.9316,0.9317,0.9318,0.9319,0.9319999999999999,0.9321,0.9322,0.9323,0.9324,0.9325,0.9326000000000001,0.9327000000000001,0.9328000000000001,0.9329000000000001,0.933,0.9331,0.9332,0.9333,0.9334,0.9335,0.9336,0.9337,0.9338,0.9339,0.9339999999999999,0.9341,0.9342,0.9343,0.9344,0.9345,0.9346000000000001,0.9347000000000001,0.9348000000000001,0.9349000000000001,0.935,0.9351,0.9352,0.9353,0.9354,0.9355,0.9356,0.9357,0.9358,0.9359,0.9359999999999999,0.9361,0.9362,0.9363,0.9364,0.9365,0.9366000000000001,0.9367000000000001,0.9368000000000001,0.9369000000000001,0.937,0.9371,0.9372,0.9373,0.9374,0.9375,0.9376,0.9377,0.9378,0.9379,0.938,0.9381,0.9382,0.9383,0.9384,0.9385,0.9386000000000001,0.9387000000000001,0.9388000000000001,0.9389000000000001,0.9390000000000001,0.9391,0.9392,0.9393,0.9394,0.9395,0.9396,0.9397,0.9398,0.9399,0.94,0.9401,0.9402,0.9403,0.9404,0.9405,0.9406000000000001,0.9407000000000001,0.9408000000000001,0.9409000000000001,0.9410000000000001,0.9411,0.9412,0.9413,0.9414,0.9415,0.9416,0.9417,0.9418,0.9419,0.942,0.9421,0.9422,0.9423,0.9424,0.9425,0.9426000000000001,0.9427000000000001,0.9428000000000001,0.9429000000000001,0.9430000000000001,0.9431,0.9432,0.9433,0.9434,0.9435,0.9436,0.9437,0.9438,0.9439,0.944,0.9440999999999999,0.9442,0.9443,0.9444,0.9445,0.9446,0.9447000000000001,0.9448000000000001,0.9449000000000001,0.9450000000000001,0.9451,0.9452,0.9453,0.9454,0.9455,0.9456,0.9457,0.9458,0.9459,0.946,0.9460999999999999,0.9462,0.9463,0.9464,0.9465,0.9466,0.9467000000000001,0.9468000000000001,0.9469000000000001,0.9470000000000001,0.9471,0.9472,0.9473,0.9474,0.9475,0.9476,0.9477,0.9478,0.9479,0.948,0.9480999999999999,0.9482,0.9483,0.9484,0.9485,0.9486,0.9487000000000001,0.9488000000000001,0.9489000000000001,0.9490000000000001,0.9491,0.9492,0.9493,0.9494,0.9495,0.9496,0.9497,0.9498,0.9499,0.95,0.9501,0.9502,0.9503,0.9504,0.9505,0.9506,0.9507000000000001,0.9508000000000001,0.9509000000000001,0.9510000000000001,0.9511000000000001,0.9512,0.9513,0.9514,0.9515,0.9516,0.9517,0.9518,0.9519,0.952,0.9521,0.9522,0.9523,0.9524,0.9525,0.9526,0.9527000000000001,0.9528000000000001,0.9529000000000001,0.9530000000000001,0.9531000000000001,0.9532,0.9533,0.9534,0.9535,0.9536,0.9537,0.9538,0.9539,0.954,0.9541,0.9542,0.9543,0.9544,0.9545,0.9546,0.9547000000000001,0.9548000000000001,0.9549000000000001,0.9550000000000001,0.9551000000000001,0.9552,0.9553,0.9554,0.9555,0.9556,0.9557,0.9558,0.9559,0.956,0.9561,0.9561999999999999,0.9563,0.9564,0.9565,0.9566,0.9567,0.9568000000000001,0.9569000000000001,0.9570000000000001,0.9571000000000001,0.9572,0.9573,0.9574,0.9575,0.9576,0.9577,0.9578,0.9579,0.958,0.9581,0.9581999999999999,0.9583,0.9584,0.9585,0.9586,0.9587,0.9588000000000001,0.9589000000000001,0.9590000000000001,0.9591000000000001,0.9592,0.9593,0.9594,0.9595,0.9596,0.9597,0.9598,0.9599,0.96,0.9601,0.9601999999999999,0.9603,0.9604,0.9605,0.9606,0.9607,0.9608000000000001,0.9609000000000001,0.9610000000000001,0.9611000000000001,0.9612,0.9613,0.9614,0.9615,0.9616,0.9617,0.9618,0.9619,0.962,0.9621,0.9621999999999999,0.9623,0.9624,0.9625,0.9626,0.9627,0.9628000000000001,0.9629000000000001,0.9630000000000001,0.9631000000000001,0.9632000000000001,0.9633,0.9634,0.9635,0.9636,0.9637,0.9638,0.9639,0.964,0.9641,0.9642,0.9643,0.9644,0.9645,0.9646,0.9647,0.9648000000000001,0.9649000000000001,0.9650000000000001,0.9651000000000001,0.9652000000000001,0.9653,0.9654,0.9655,0.9656,0.9657,0.9658,0.9659,0.966,0.9661,0.9662,0.9663,0.9664,0.9665,0.9666,0.9667,0.9668000000000001,0.9669000000000001,0.9670000000000001,0.9671000000000001,0.9672000000000001,0.9673,0.9674,0.9675,0.9676,0.9677,0.9678,0.9679,0.968,0.9681,0.9682,0.9683,0.9684,0.9685,0.9686,0.9687,0.9688000000000001,0.9689000000000001,0.9690000000000001,0.9691000000000001,0.9692000000000001,0.9693,0.9694,0.9695,0.9696,0.9697,0.9698,0.9699,0.97,0.9701,0.9702,0.9702999999999999,0.9704,0.9705,0.9706,0.9707,0.9708,0.9709000000000001,0.9710000000000001,0.9711000000000001,0.9712000000000001,0.9713,0.9714,0.9715,0.9716,0.9717,0.9718,0.9719,0.972,0.9721,0.9722,0.9722999999999999,0.9724,0.9725,0.9726,0.9727,0.9728,0.9729000000000001,0.9730000000000001,0.9731000000000001,0.9732000000000001,0.9733,0.9734,0.9735,0.9736,0.9737,0.9738,0.9739,0.974,0.9741,0.9742,0.9742999999999999,0.9744,0.9745,0.9746,0.9747,0.9748,0.9749000000000001,0.9750000000000001,0.9751000000000001,0.9752000000000001,0.9753000000000001,0.9754,0.9755,0.9756,0.9757,0.9758,0.9759,0.976,0.9761,0.9762,0.9763,0.9764,0.9765,0.9766,0.9767,0.9768,0.9769000000000001,0.9770000000000001,0.9771000000000001,0.9772000000000001,0.9773000000000001,0.9774,0.9775,0.9776,0.9777,0.9778,0.9779,0.978,0.9781,0.9782,0.9783,0.9784,0.9785,0.9786,0.9787,0.9788,0.9789000000000001,0.9790000000000001,0.9791000000000001,0.9792000000000001,0.9793000000000001,0.9794,0.9795,0.9796,0.9797,0.9798,0.9799,0.98,0.9801,0.9802,0.9803,0.9804,0.9805,0.9806,0.9807,0.9808,0.9809000000000001,0.9810000000000001,0.9811000000000001,0.9812000000000001,0.9813000000000001,0.9814,0.9815,0.9816,0.9817,0.9818,0.9819,0.982,0.9821,0.9822,0.9823,0.9823999999999999,0.9825,0.9826,0.9827,0.9828,0.9829,0.9830000000000001,0.9831000000000001,0.9832000000000001,0.9833000000000001,0.9834,0.9835,0.9836,0.9837,0.9838,0.9839,0.984,0.9841,0.9842,0.9843,0.9843999999999999,0.9845,0.9846,0.9847,0.9848,0.9849,0.9850000000000001,0.9851000000000001,0.9852000000000001,0.9853000000000001,0.9854,0.9855,0.9856,0.9857,0.9858,0.9859,0.986,0.9861,0.9862,0.9863,0.9863999999999999,0.9865,0.9866,0.9867,0.9868,0.9869,0.9870000000000001,0.9871000000000001,0.9872000000000001,0.9873000000000001,0.9874,0.9875,0.9876,0.9877,0.9878,0.9879,0.988,0.9881,0.9882,0.9883,0.9884,0.9885,0.9886,0.9887,0.9888,0.9889,0.9890000000000001,0.9891000000000001,0.9892000000000001,0.9893000000000001,0.9894000000000001,0.9895,0.9896,0.9897,0.9898,0.9899,0.99,0.9901,0.9902,0.9903,0.9904,0.9905,0.9906,0.9907,0.9908,0.9909,0.9910000000000001,0.9911000000000001,0.9912000000000001,0.9913000000000001,0.9914000000000001,0.9915,0.9916,0.9917,0.9918,0.9919,0.992,0.9921,0.9922,0.9923,0.9924,0.9925,0.9926,0.9927,0.9928,0.9929,0.9930000000000001,0.9931000000000001,0.9932000000000001,0.9933000000000001,0.9934000000000001,0.9935,0.9936,0.9937,0.9938,0.9939,0.994,0.9941,0.9942,0.9943,0.9944,0.9945,0.9946,0.9947,0.9948,0.9949,0.9950000000000001,0.9951000000000001,0.9952000000000001,0.9953000000000001,0.9954000000000001,0.9955,0.9956,0.9957,0.9958,0.9959,0.996,0.9961,0.9962,0.9963,0.9964,0.9964999999999999,0.9966,0.9967,0.9968,0.9969,0.997,0.9971000000000001,0.9972000000000001,0.9973000000000001,0.9974000000000001,0.9975,0.9976,0.9977,0.9978,0.9979,0.998,0.9981,0.9982,0.9983,0.9984,0.9984999999999999,0.9986,0.9987,0.9988,0.9989,0.999,0.9991000000000001,0.9992000000000001,0.9993000000000001,0.9994000000000001,0.9995,0.9996,0.9997,0.9998,0.9999,1.0],\\\"y\\\":[0.908462814245873,0.9084705747720873,0.9084783352983015,0.9084860958245156,0.9084938563507297,0.908501616876944,0.9085096824918022,0.9085204746708968,0.9085312668499912,0.9085420590290857,0.9085528512081802,0.9085636433872746,0.9085744355663692,0.9085852277454636,0.9085876796015567,0.908585988240173,0.9085842968787892,0.9085826055174053,0.9085809141560217,0.9085784243295598,0.9085724783159306,0.9085665323023012,0.9085605862886721,0.9085546402750428,0.9085486942614136,0.9085421092150026,0.9085409456398528,0.9085429702810003,0.908544994922148,0.9085470195632956,0.9085490442044433,0.9085510688455909,0.9085540335733322,0.9085579304216223,0.9085614217130003,0.9085649130043782,0.9085684042957561,0.9085718955871341,0.908575386878512,0.90857887816989,0.9085867625192185,0.9085954353843231,0.9086041082494277,0.9086127811145324,0.908621453979637,0.9086274988872547,0.9086330931113813,0.9086386873355077,0.9086442815596342,0.9086498757837607,0.9086554700078872,0.9086610642320136,0.9086666584561401,0.908673245991527,0.9086811297682071,0.9086890135448873,0.9086968973215674,0.9087047810982474,0.9087146055092942,0.9087247726646307,0.9087349398199671,0.9087450158173132,0.9087556427351761,0.9087662749345328,0.9087769071338896,0.9087875393332462,0.9087981715326028,0.9088088037319595,0.9088194359313162,0.9088285472036857,0.9088366354037746,0.9088447236038635,0.9088524965036091,0.9088413454765212,0.9088301915496415,0.9088190376227617,0.908807883695882,0.9087967297690023,0.9087855758421225,0.9087744219152428,0.908763267988363,0.9087521140614834,0.9087409601346036,0.9087298062077238,0.9087231223835202,0.9087192109591562,0.9087164030202588,0.9087302535147845,0.9087441040093104,0.9087579545038362,0.908771804998362,0.9087857062529117,0.9087996101645512,0.90881355752915,0.9088275170146762,0.9088414765002026,0.9088554359857288,0.9088693954712552,0.9088833549567815,0.9088973144423078,0.9088851775056097,0.9088505758098187,0.9088142159130028,0.9087570515150126,0.9086998871170224,0.9086427227190321,0.9085855583210418,0.9085283939230516,0.9084712295250613,0.908408682823667,0.9083733816211185,0.9083380804185698,0.9083027792160212,0.9082674780134725,0.9082321768109239,0.9082268004455288,0.9082377424125625,0.9082481013397548,0.9082567877468217,0.9082654741538887,0.9082741605609557,0.9082828469680228,0.9082915333750897,0.9083002197821568,0.9083089061892237,0.9083175925962906,0.9083283074997275,0.9083390408567678,0.9083497742138079,0.9083605075708481,0.9083712409278881,0.9083823386783516,0.9083948143818705,0.9083881641636422,0.9083615030782646,0.9083348419928869,0.9083081809075093,0.9082815198221318,0.9082548587367543,0.9082281976513766,0.9082247250664927,0.9081776761649287,0.9081306272633648,0.9080857175255344,0.9080857573052974,0.9080734519991924,0.908062216667783,0.9080509813363736,0.9080397460049643,0.908028510673555,0.9080172753421456,0.9080060400107361,0.9080108253818241,0.9080163059064501,0.908022031541478,0.9080290973632328,0.9080361631849878,0.9080432290067428,0.9080502948284979,0.9080573606502529,0.9080644264720079,0.9080714922937628,0.9080785581155177,0.9080858223219084,0.908093929590277,0.9081074593143688,0.9081209890384605,0.9081345187625525,0.9081480484866442,0.908161578210736,0.9081751079348277,0.9081886376589197,0.9082021673830114,0.9082156232934828,0.9082027964075852,0.9081857766911878,0.9081654190520667,0.9081652157358687,0.9081683502793023,0.9081714848227358,0.9081746193661694,0.908177753909603,0.9081808884530365,0.9081840229964702,0.9081871575399036,0.9081883864405699,0.908188428589778,0.9081884707389862,0.9081885128881944,0.9081904220548161,0.9081931936512211,0.9081959652476259,0.9081987368440307,0.9082020491059513,0.9082074171280692,0.9082127851501868,0.9082181531723046,0.9082235211944224,0.9082288892165402,0.9082342572386579,0.9082355855243511,0.9082347401613927,0.9082307234441223,0.9082267067268519,0.9082226900095814,0.908218673292311,0.9082146565750406,0.9082106398577702,0.9082066231404997,0.9082026064232293,0.908199771656062,0.9081990890390168,0.9081984064219717,0.9081977238049264,0.9081970411878812,0.9081963585708361,0.9081956759537908,0.908198024993323,0.908207968008969,0.908217911024615,0.9082268340681914,0.9082319262857541,0.9082370185033168,0.9082421107208793,0.9082472029384419,0.9082521020993712,0.9082567334863905,0.9082613648734097,0.9082659962604288,0.908270627647448,0.9082752590344673,0.9082783736752194,0.9082763155257159,0.9082617629662136,0.9082489544481509,0.9082460371729992,0.9082431198978472,0.9082402026226954,0.9082358066825885,0.9082259467516847,0.9082160868207807,0.9082062268898767,0.9082026714068663,0.908207940630821,0.9082132098547759,0.9082184790787307,0.9082237483026856,0.9082290175266403,0.9082342867505951,0.90823955597455,0.908244682319732,0.9082497199230601,0.9082547575263882,0.9082682000456093,0.9082822691335128,0.9082963382214164,0.9083104073093199,0.9083244763972234,0.9083385454851268,0.9083526145730304,0.9083655899145879,0.9083782770538998,0.9083770747933646,0.9083756997813586,0.9083743247693523,0.9083729497573461,0.9083715747453398,0.9083701997333338,0.9083688247213275,0.9083674497093213,0.9083522530771313,0.9083295763307004,0.9083068995842697,0.9082880223982134,0.9082792213832298,0.9082737776758407,0.9082865056578436,0.9082992336398465,0.9083119616218496,0.9083246896038524,0.9083374175858553,0.9083496663443638,0.9083616153711134,0.9083735643978632,0.9083833830677731,0.9083926150806068,0.9084018470934407,0.9084110791062745,0.9084203111191083,0.9084265881452296,0.9084319262727737,0.9084372644003178,0.9084426025278618,0.908447940655406,0.90845327878295,0.9084619454728358,0.9084714553890111,0.9084809653051865,0.9084904752213618,0.9084999851375373,0.9085089259443481,0.9085174849324213,0.9085260439204946,0.9085346029085679,0.908542628653014,0.9085506040676656,0.9085585794823171,0.9085665548969686,0.9085745303116202,0.9085825057262715,0.908590481140923,0.9085984565555745,0.908606431970226,0.9086144073848774,0.9086223827995289,0.9086298406434098,0.9086349990101281,0.9086401573768463,0.9086453157435647,0.908650474110283,0.9086556324770012,0.9086596241418508,0.9086636374949458,0.9086680014273438,0.9086723653597419,0.9086760585726488,0.9086754005829665,0.9086747425932844,0.9086740846036021,0.9086734266139199,0.9086727686242376,0.9086721106345554,0.9086714526448733,0.9086707946551911,0.9086701366655088,0.9086660852731041,0.9086618424231035,0.908657599573103,0.9086533567231023,0.9086491138731019,0.9086448710231012,0.9086406281731007,0.9086381822074914,0.9086361904520295,0.9086341986965676,0.9086358900030993,0.9086477473559285,0.9086596047087577,0.9086714620615869,0.9086818743876037,0.9086800564791242,0.9086724318173122,0.9086648071555001,0.9086571824936881,0.9086495578318761,0.9086419331700639,0.9086343085082518,0.9086266838464399,0.9086154677892406,0.9086032322173709,0.9085909966455012,0.9085885316707918,0.9085863095452291,0.9085840874196662,0.9085818652941036,0.9085796431685408,0.908577421042978,0.9085751068972812,0.908584606284274,0.9085941056712669,0.9086036050582598,0.9086131044452525,0.9086226038322454,0.9086321032192382,0.9086443764238075,0.9086527201535688,0.9086605413770148,0.9086683626004608,0.908676183823907,0.908684005047353,0.908691826270799,0.9086996474942453,0.9087074687176913,0.9087160606195609,0.9087253500145251,0.9087352856317393,0.9087452212489535,0.9087551568661678,0.9087650924833819,0.9087750256002296,0.9087838334164848,0.9087922412632392,0.9088006491099936,0.908809056956748,0.9088174648035023,0.9088258726502566,0.908834280497011,0.9088426883437652,0.9088494166150287,0.9088559666465916,0.9088625166781545,0.9088690667097175,0.9088743167149833,0.9088766617827264,0.9088790068504693,0.9088813519182123,0.9088836969859553,0.908882892275924,0.9088569917701388,0.9088304595260155,0.9088039272818924,0.9088038731060886,0.9088086069405068,0.9088120327898885,0.908815241073103,0.9088184493563174,0.9088216576395318,0.9088248659227463,0.9088280742059607,0.9088312824891751,0.9088344907723894,0.9088376990556039,0.9088409073388182,0.9088441156220327,0.908847323905247,0.9088505321884615,0.9088537404716759,0.9088569487548903,0.9088601570381046,0.9088633653213191,0.9088638326014902,0.908862522164618,0.9088612117277461,0.9088599012908742,0.9088585908540023,0.9088565998286982,0.9088538954525747,0.9088511910764511,0.9088484867003275,0.908845782324204,0.9088430779480805,0.9088403735719569,0.9088376691958333,0.9088349648197098,0.9088322604435863,0.9088295560674629,0.9088268516913393,0.9088274865495581,0.9088281371103524,0.9088287876711467,0.9088314998194492,0.9088352559920783,0.9088390121647072,0.908835274390714,0.9088312303918654,0.9088271863930169,0.9088231423941683,0.9088190983953197,0.9088150543964713,0.9088104579687346,0.9088043531775744,0.9087982483864141,0.9087921435952537,0.9087860388040936,0.9087799340129332,0.9087810094159459,0.9087829946193247,0.9087849798227035,0.9087869650260821,0.9087889502294609,0.9087909354328397,0.9087929206362184,0.9087949058395972,0.9087912382100328,0.9087898757993296,0.9087885133886263,0.908787150977923,0.9087857885672197,0.9087844261565164,0.9087830637458132,0.9087817013351098,0.9087803389244067,0.9087762607625514,0.9087692259848481,0.9087621912071451,0.9087551564294418,0.9087481216517388,0.9087410868740355,0.9087340520963325,0.9087270173186293,0.9087285424235625,0.9087309845764175,0.9087204667823181,0.9087099489882187,0.9086994311941192,0.9086889134000198,0.9086783956059202,0.9086678778118208,0.908654039116198,0.9086391107728435,0.908615460027866,0.9085919835782759,0.908582461130099,0.9085776027947475,0.9085822641576835,0.9085825724477674,0.9085818279155258,0.908581083383284,0.9085803388510424,0.9085798846791877,0.9085795451385632,0.9085788939428603,0.9085747277830695,0.9085705616232789,0.9085663954634882,0.908562238205348,0.9085581740243414,0.9085541098433345,0.9085500456623277,0.9085459814813209,0.9085419173003141,0.9085378531193073,0.9085337889383005,0.9085297247572937,0.9085256605762869,0.9085224927374236,0.9085203873820508,0.908518282026678,0.908516176671305,0.9085180527427064,0.9085227904589928,0.908527528175279,0.9085378801787847,0.9085487964962791,0.9085597128137732,0.9085706291312676,0.9085815454487618,0.9085914694092307,0.9085957016282836,0.9085999338473365,0.9086041660663894,0.9086083982854423,0.908612630504495,0.908616862723548,0.9086143299894945,0.9086088169375928,0.9086033038856911,0.9085977908337894,0.9085902270121213,0.9085822732427558,0.9085743268671153,0.9085663860634774,0.9085584452598394,0.9085505044562014,0.9085425636525635,0.9085317999809908,0.9085209622306881,0.908513112998412,0.9085056352355221,0.9084981574726321,0.9084906797097422,0.9084832019468523,0.9084761478409233,0.90847594559589,0.9084757433508567,0.9084755411058234,0.90847533886079,0.9084751366157569,0.9084749343707235,0.9084747321256901,0.9084720974285777,0.9084687097101578,0.908465321991738,0.9084619342733182,0.9084585465548982,0.9084556215315776,0.9084536115161642,0.9084516015007509,0.9084495914853377,0.9084475814699244,0.9084455714545112,0.9084476570293174,0.9084518787462379,0.9084561004631584,0.9084603221800789,0.9084662912422875,0.9084738246254342,0.9084813580085811,0.9084889361373828,0.9084965698991909,0.9085042036609989,0.908511837422807,0.9085194711846152,0.9085271049464232,0.9085368625029877,0.9085470876526038,0.90855731280222,0.908567537951836,0.9085777631014521,0.9085879882510681,0.9085982134006843,0.908606610486337,0.9086143964168436,0.90861378233272,0.908607976893176,0.9086021714536319,0.9085963660140877,0.9085905605745436,0.9085833606914048,0.908572127920399,0.9085608951493931,0.9085514763512048,0.9085473919916471,0.9085433076320893,0.9085392232725316,0.9085288177079387,0.9085167146722801,0.9085046116366217,0.9084925086009632,0.9084804055653046,0.908468302529646,0.9084558688356561,0.9084433468950857,0.9084308249545152,0.9084183030139448,0.9084141231485517,0.9084187979492938,0.9084234727500359,0.9084281475507779,0.90843282235152,0.9084374971522622,0.9084386906987696,0.9084392389564255,0.9084398853382192,0.9084452287076215,0.9084505720770237,0.908455915446426,0.9084581828117249,0.9084582042981697,0.9084582257846145,0.9084601552357108,0.9084660272825826,0.9084718993294544,0.9084798658291655,0.9084896107527609,0.9084993556763561,0.9085091005999514,0.9085168975501046,0.9085246119423744,0.9085346340169995,0.9085446560916244,0.9085546781662495,0.9085647002408745,0.9085747223154994,0.9085847443901244,0.9085907210465252,0.9085915225812768,0.9085798104890535,0.9085639659010358,0.908552925526364,0.9085463229301931,0.9085397203340224,0.9085331177378515,0.9085265151416806,0.9085335674295917,0.908541381277779,0.9085410635323161,0.9085407457868533,0.9085404280413905,0.9085401102959276,0.9085397925504648,0.9085453060428743,0.9085552848445424,0.9085652636462104,0.9085752424478784,0.9085852212495464,0.9085806722411534,0.9085748595522634,0.9085690468633733,0.9085632341744833,0.9085574214855932,0.9085516087967032,0.9085324070051928,0.9085157814006575,0.9085124425403657,0.9085091036800739,0.9085057648197821,0.9085024259594903,0.9084990870991985,0.9084957482389067,0.9084924093786149,0.9084890705183231,0.9084945460603051,0.9085047527175599,0.9085149593748149,0.9085251660320698,0.9085353726893247,0.9085455793465795,0.9085557860038346,0.9085648013335317,0.9085676476904787,0.9085704940474257,0.9085733404043728,0.9085761867613197,0.9085790331182666,0.9085818794752136,0.9085847258321607,0.9085875721891077,0.9085904185460546,0.9085928543346473,0.9085925914694879,0.9085923286043286,0.9085920657391693,0.9085918028740099,0.9085945451129753,0.9085995276592598,0.908604510205544,0.9086094927518283,0.9086144752981127,0.9086194578443971,0.9086244403906814,0.908628477737087,0.908628949205606,0.9086280165669721,0.9086270839283384,0.9086261512897045,0.9086252186510706,0.9086242860124367,0.9086221588889898,0.9086199261006626,0.9086176933123354,0.9086154605240083,0.9086146580809271,0.908618740583491,0.9086228230860549,0.9086269055886189,0.9086309880911829,0.9086350705937467,0.9086391530963107,0.9086432355988746,0.9086473181014386,0.9086514006040025,0.9086554831065665,0.908659720180778,0.9086722903554796,0.9086848605301812,0.9086968617763822,0.9087052183169202,0.9087135748574582,0.9087219313979962,0.9087302879385344,0.9087386444790724,0.9087470010196104,0.908753341916374,0.9087576178926275,0.9087618938688811,0.9087661698451346,0.9087704458213881,0.9087747217976416,0.9087789977738951,0.9087832737501487,0.9087875497264022,0.9087901570901966,0.9087894775971512,0.9087887981041058,0.9087881122841961,0.9087864495174757,0.9087847867507551,0.9087831239840346,0.9087814612173141,0.9087758347086827,0.9087687928091817,0.9087617509096806,0.9087538606070971,0.9087415351148652,0.9087292096226335,0.9087168841304016,0.9086993575920834,0.9086771311924171,0.9086549047927508,0.9086326783930845,0.9086104519934182,0.9085813064735464,0.9085505673927237,0.9085198283119009,0.9084890892310782,0.9084583501502554,0.9084276110694326,0.9083968719886097,0.9083692401954204,0.908356655302048,0.9083440704086758,0.9083465482127243,0.9083567400831031,0.908366931953482,0.9083771238238607,0.9083873156942395,0.9083975075646182,0.908407699434997,0.9084178913053758,0.9084277239055704,0.9084372295382557,0.9084467351709409,0.9084562408036263,0.9084579387325766,0.9084582773700929,0.9084586160076089,0.9084537874553474,0.9084468313613198,0.9084398752672922,0.9084329191732645,0.908416873618711,0.9084088869392504,0.9084167849287057,0.9084246018822202,0.9084309449075443,0.9084372879328686,0.9084436309581927,0.9084504844142698,0.908460166730513,0.9084698490467562,0.9084803480015327,0.9084937745780499,0.9085072011545672,0.9085206277310847,0.908534054307602,0.9085474808841194,0.9085602577974827,0.9085698570628364,0.908579276256803,0.9085886954507696,0.9085981146447359,0.9086075338387025,0.9086173730174085,0.9086296433781433,0.9086419137388779,0.9086416813573965,0.9086344961291455,0.9086273109008944,0.9086201256726435,0.9086129404443926,0.9086057552161415,0.9085985699878905,0.9085913847596394,0.9085841995313884,0.9085859011431444,0.908595808990587,0.9086057781804238,0.9086158670012731,0.9086259558221224,0.9086360446429715,0.908646133463821,0.9086562222846701,0.9086663111055194,0.9086763999263687,0.9086864887472179,0.9086965775680671,0.9087066663889165,0.9087167552097657,0.908726844030615,0.9087369328514643,0.908745453103549,0.9087539222682972,0.9087623914330454,0.9087708605977937,0.9087793297625419,0.9087877989272901,0.9087962680920383,0.90880178674601,0.9088071763675108,0.9088125659890117,0.9088179556105126,0.9088233452320136,0.9088287348535145,0.9088341244750153,0.9088395140965162,0.9088449037180171,0.9088494792759159,0.9088504647805258,0.9088514502851359,0.9088524357897458,0.9088522408972664,0.9088514579299094,0.9088506749625525,0.9088498919951955,0.9088491090278386,0.9088483260604816,0.908847885379003,0.9088501241494085,0.9088541276108302,0.9088581310722519,0.9088621345336737,0.9088661379950954,0.9088701414565171,0.9088741449179389,0.9088781483793607,0.9088821518407824,0.9088861553022041,0.9088901587636258,0.9088863071088382,0.9088809548032795,0.9088756024977207,0.9088702501921619,0.9088648978866033,0.9088595455810445,0.9088541932754859,0.9088529655235376,0.9088525142519481,0.9088537210143002,0.9088637136413926,0.9088737062684851,0.9088836988955773,0.9088936915226697,0.9089036841497622,0.9089136767768545,0.908923669403947,0.9089336620310393,0.9089433243038406,0.9089515690956901,0.9089598138875397,0.9089680586793891,0.9089763034712388,0.9089845482630883,0.9089913075080553,0.908997902589081,0.9090044976701068,0.9090110927511323,0.9090176878321581,0.9090242829131838,0.9090310888599479,0.9090358758412556,0.9090406628225634,0.9090454498038711,0.9090502367851788,0.909052427825633,0.909054326051514,0.9090562242773952,0.9090568058864104,0.9090541196072072,0.909053069522396,0.9090564317244043,0.9090597939264126,0.9090601317658842,0.9090644033488655,0.9090665563292804,0.9090686976242934,0.9090708389193065,0.9090729802143197,0.9090751215093328,0.9090772628043459,0.9090794040993591,0.9090812484315435,0.9090828001938562,0.9090843519561689,0.909086512451073,0.9090887370765188,0.9090909617019647,0.9090931863274105,0.9090954109528564,0.9090976355783023,0.9090998602037482,0.9091026628533196,0.909106009459861,0.9091093560664023,0.9091127026729435,0.9091160492794849,0.9091088641061496,0.9090963891353439,0.909083914164538,0.9090714391937322,0.9090582899315116,0.9090428666880935,0.9090274434446755,0.9090120202012573,0.9089965969578392,0.9089811737144211,0.908965750471003,0.9089485460293386,0.9089289885071016,0.9089094309848644,0.9088898734626274,0.9088703159403902,0.9088507584181531,0.9088381405152112,0.9088409558889132,0.9088398024762818,0.9088374948811344,0.9088351872859871,0.9088328796908398,0.9088281604546944,0.9088216579979858,0.9088151555412772,0.9088086530845685,0.90880215062786,0.9087956481711514,0.9087891457144428,0.9087855925789976,0.9087868630114357,0.908788133443874,0.9087895298101423,0.9087913319547367,0.9087931340993314,0.9087923727828096,0.9087891084263293,0.9087858440698491,0.9087825797133688,0.9087793153568885,0.9087760510004083,0.908772786643928,0.9087695222874478,0.9087662579309674,0.9087629935744872,0.908759729218007,0.9087564648615266,0.9087553863710773,0.9087563542845207,0.9087573221979641,0.908759602707603,0.9087620463509388,0.9087644899942746,0.9087669336376103,0.908769377280946,0.9087718209242818,0.9087742645676176,0.9087767082109532,0.9087794768955512,0.9087825165104597,0.9087855561253684,0.9087885957402768,0.9087916353551854,0.9087946749700939,0.9087968699589065,0.9087977167250118,0.9087985634911171,0.9087981963757533,0.908795781695155,0.9087933670145567,0.9087909523339583,0.90878853765336,0.9087845052964354,0.9087785583673137,0.908772611438192,0.9087667622735172,0.908764038847787,0.9087613154220568,0.9087585919963266,0.9087558685705965,0.9087531451448663,0.9087504217191361,0.908747698293406,0.9087449748676759,0.9087422514419456,0.9087405185199415,0.9087421392184851,0.9087437599170286,0.908745380615572,0.9087463703107858,0.9087473029524071,0.9087482355940286,0.9087491682356501,0.9087501008772716,0.9087510335188931,0.9087519661605146,0.9087523467750072,0.9087481904999015,0.9087423937779353,0.9087365970559692,0.908730800334003,0.9087250036120369,0.9087192068900707,0.9087167489657695,0.9087225226122271,0.9087285039998947,0.9087344853875625,0.9087404667752302,0.9087424675445412,0.908742627414056,0.9087427872835707,0.9087429471530855,0.9087431070226002,0.9087432668921149,0.9087434267616297,0.9087435866311442,0.9087387248227441,0.9087273747674172,0.9087160247120903,0.9087094750111979,0.9087060222029801,0.9087025693947626,0.9086991165865448,0.908695663778327,0.9086922109701093,0.9086930511654818,0.9086965336101236,0.9087001869841068,0.9087047150642547,0.9087092431444024,0.9087137712245502,0.908718299304698,0.9087228273848458,0.9087273554649935,0.9087318835451412,0.9087364116252891,0.9087409397054369,0.9087454677855847,0.9087499958657325,0.908756633264097,0.9087628126721765,0.9087643557680539,0.9087658988639313,0.9087674419598086,0.9087689850556859,0.9087705281515632,0.9087720712474405,0.9087736143433178,0.9087751574391952,0.9087767005350726,0.90877824363095,0.9087804361306213,0.90878280038134,0.9087851646320587,0.9087799088788815,0.9087726638027629,0.9087654187266442,0.9087581736505255,0.9087509285744069,0.9087441511999002,0.9087444804280513,0.9087479644628564,0.9087528782482851,0.9087577920337138,0.9087627058191425,0.9087676196045711,0.9087688656737569,0.9087699965279157,0.9087711273820748,0.9087722582362336,0.9087748776447282,0.9087808466790118,0.9087868157132954,0.9087927847475792,0.9087995986147415,0.9088076797935847,0.9088157609724279,0.9088238421512709,0.9088283349941917,0.908831840261838,0.9088353455294844,0.9088388507971308,0.908842356064777,0.9088458613324233,0.9088483988440128,0.9088438504468856,0.9088392867411628,0.9088347230354398,0.9088301593297168,0.9088300481060974,0.908832256952451,0.9088344657988046,0.9088367097337195,0.9088396710960838,0.9088426324584482,0.9088455938208124,0.9088508874922304,0.9088587684652243,0.9088666494382183,0.9088745304112122,0.9088824113842062,0.9088902923572002,0.9088981733301941,0.9089076932370606,0.9089179490633417,0.9089282048896228,0.9089384607159039,0.908948716542185,0.9089589723684661,0.9089683703505218,0.9089759193925745,0.9089834684346272,0.90899101747668,0.9089985665187326,0.9090061155607854,0.909013664602838,0.9090179210469597,0.9090214030870776,0.9090248851271954,0.909029830029616,0.9090358996657016,0.9090419693017873,0.9090480389378729,0.9090541085739585,0.9090579135879976,0.90905963132408,0.9090613490601623,0.9090630667962447,0.909064784532327,0.9090567355191723,0.9090414710405327,0.9090405877942072,0.9090431359560085,0.9090456841178101,0.9090482322796114,0.9090515553008105,0.9090583538651775,0.9090651524295446,0.9090719509939118,0.9090787495582788,0.9090855481226459,0.9090923466870129,0.9090991452513799,0.9091068575672401,0.909114611070629,0.9091223645740178,0.9091301180774066,0.9091365931036064,0.9091426907945821,0.9091487884855576,0.9091548861765331,0.9091609838675087,0.9091670815584842,0.9091731792494598,0.9091792769404354,0.9091853746314109,0.9091931116951013,0.9092022329504251,0.909211354205749,0.9092204754610727,0.9092295967163964,0.9092387179717202,0.909247839227044,0.9092569604823677,0.9092660817376914,0.9092752029930152,0.9092843242483389,0.9092543058680367,0.9092154866183124,0.9091766673685882,0.9091378481188639,0.9090990288691396,0.9090602096194154,0.9090213903696911,0.9089825711199668,0.9089437518702426,0.9089049326205182,0.9088667170164925,0.9088716559967129,0.9088789803421358,0.9088863046875589,0.9088936290329819,0.908900953378405,0.908908277723828,0.9089148032269887,0.9089146072199554,0.9089116963601784,0.9089087855004014,0.9089058746406243,0.9089029637808472,0.9089000529210701,0.908897142061293,0.908894231201516,0.9088913203417388,0.9088884094819618,0.9088854986221847,0.9088825877624077,0.9088796769026306,0.9088767660428535,0.9088738551830764,0.9088709443232993,0.9088683978927418,0.9088659530224517,0.908864127354809,0.9088673345843921,0.9088705418139751,0.9088737490435581,0.9088769562731411,0.9088801635027242,0.9088833707323071,0.90888657796189,0.908889785191473,0.9088938209370916,0.9088983690831675,0.9089029172292433,0.9089074653753191,0.908912013521395,0.9089165616674708,0.9089211098135466,0.9089256579596224,0.9089302061056983,0.9089347542517741,0.9089383324398315,0.9089417938814073,0.908945255322983,0.9089487167645587,0.9089521782061345,0.9089352127445409,0.9089167769013968,0.9088983410582527,0.9088797529665217,0.9088569475397967,0.9088341421130717,0.9088113366863466,0.9087885312596217,0.9087686119425247,0.9087652082187125,0.9087618044949002,0.908758400771088,0.9087549970472757,0.9087507992991111,0.9087464910291148,0.9087421827591187,0.9087378744891224,0.908733566219126,0.9087292579491298,0.9087249496791335,0.9087206414091373,0.908716333139141,0.9087111799991506,0.9087024766193073,0.9086937732394638,0.9086850698596203,0.9086764300971308,0.9086874814389926,0.9086986493149745,0.9087098171909562,0.9087209850669381,0.90873215294292,0.908743320818902,0.9087544886948837,0.9087642023815146,0.9087695502363007,0.9087743388553536,0.9087791274744066,0.9087839160934594,0.9087887047125124,0.9087934933315652,0.9087982819506182,0.908803070569671,0.9088078591887239,0.9088150416367733,0.9088227569163583,0.908830472195943,0.9088381874755278,0.9088278055393753,0.9088157684862059,0.908808724342748,0.908812355758728,0.9088159871747081,0.9088196185906883,0.9088232500066684,0.9088268814226486,0.9088294170474588,0.9088315417226611,0.9088331957212865,0.9088301535973209,0.9088271114733552,0.9088240693493894,0.9088210272254237,0.908817985101458,0.9088141540767142,0.9088102223101782,0.9088062905436423,0.9088023587771064,0.9088014200423951,0.908808264664527,0.908815109286659,0.9088219539087912,0.9088287985309231,0.9088356431530553,0.9088424877751873,0.9088498032148434,0.9088569070510513,0.9088580133547085,0.9088591196583657,0.9088602259620231,0.9088613322656802,0.9088624385693373,0.9088636776158365,0.9088669688847018,0.9088702601535672,0.9088735514224326,0.9088768426912981,0.9088801339601633,0.9088834252290288,0.908887573238424,0.9088943934170675,0.9089012135957111,0.9089080337743547,0.9089148539529981,0.9089216741316417,0.9089284943102851,0.9089353144889287,0.9089390244236447,0.9089422030886385,0.9089453817536325,0.9089485604186263,0.9089525490164848,0.9089565568628899,0.9089605647092949,0.9089645725557,0.908968580402105,0.90897258824851,0.90897253995291,0.9089710515404429,0.9089695631279757,0.9089680747155084,0.9089665863030414,0.9089662016249342,0.9089685295382672,0.9089692493933074,0.9089699692483475,0.9089706891033877,0.9089714089584279,0.908972128813468,0.9089728486685082,0.9089735685235483,0.9089742883785885,0.9089757051788154,0.9089775017930535,0.9089792984072915,0.9089810950215294,0.9089828916357674,0.9089803628922205,0.9089751909885116,0.9089673448792797,0.9089594987700478,0.9089516526608157,0.9089438065515837,0.9089363304802505,0.9089339688883764,0.9089316072965024,0.9089292457046285,0.9089268841127545,0.9089245225208804,0.9089221609290065,0.9089197993371324,0.9089179507662997,0.9089222483178601,0.9089265458694205,0.908930843420981,0.9089351409725415,0.9089394385241019,0.9089439812468376,0.9089485769307466,0.9089531726146558,0.9089545891150014,0.9089552160561202,0.9089558429972391,0.9089564699383579,0.908956582547771,0.9089533741051297,0.9089501656624883,0.9089478077317035,0.9089466397295839,0.9089454717274643,0.9089443037253447,0.9089431357232252,0.9089419677211056,0.908940799718986,0.9089396317168665,0.9089384637147468,0.9089414350928454,0.9089430412583444,0.9089360979795382,0.908929154700732,0.9089222114219259,0.9089160614527196,0.9089239356773864,0.9089318099020531,0.9089396841267199,0.9089475583513866,0.9089554325760534,0.9089627516047205,0.9089680740583419,0.9089733965119631,0.9089787189655845,0.9089840414192059,0.9089893638728272,0.9089946863264484,0.9090000087800698,0.9090055519804436,0.9090112039661231,0.9090168559518025,0.9090225079374818,0.9090281599231613,0.9090323063879201,0.9090351372833209,0.9090379681787216,0.9090407990741223,0.909043629969523,0.9090464608649238,0.9090466543259679,0.9090451130116751,0.9090435716973824,0.9090420303830896,0.9090404890687969,0.9090389477545041,0.9090374064402114,0.9090359766137406,0.9090376544069287,0.909039332200117,0.9090410099933053,0.9090426877864934,0.9090443655796817,0.9090460433728699,0.9090477211660581,0.9090493989592463,0.9090572836151942,0.9090659320663179,0.9090745805174418,0.9090832289685656,0.9090918774196894,0.9091005258708131,0.909109174321937,0.9091178227730607,0.9091266333657031,0.9091355812210351,0.9091445290763671,0.9091534769316991,0.9091624247870311,0.9091713726423631,0.909180320497695,0.9091891032516075,0.9091977631918202,0.9092064231320331,0.9092150830722461,0.9092237430124589,0.9092162320310393,0.9092076715116919,0.9091991109923447,0.9091905504729975,0.9091819899536502,0.9091734294343028,0.9091648689149556,0.9091510580012153,0.9091506056210521,0.9091535128726228,0.9091564201241936,0.9091593273757643,0.909162234627335,0.9091651418789057,0.9091680491304766,0.9091709563820473,0.909173863633618,0.9091591974637829,0.9091383475323498,0.9090791631578825,0.9090199787834152,0.908960794408948,0.9089186971045693,0.9088786584391029,0.908847821282454,0.908853474474846,0.9088591276672379,0.9088647808596297,0.9088704340520217,0.9088760872444136,0.9088817404368055,0.9088873936291975,0.9088930468215893,0.9088987000139812,0.9089043532063732,0.9089100063987651,0.9089156595911569,0.9089160624715893,0.908914503625085,0.9089150505258965,0.9089177492948766,0.9089204480638565,0.908920833506277,0.9089233973580938,0.9089268725715355,0.908930347784977,0.9089338229984187,0.9089372982118604,0.9089407734253021,0.9089442486387438,0.9089477238521855,0.908951199065627,0.9089534413890823,0.9089545135167478,0.9089555856444131,0.9089566577720788,0.9089577298997442,0.9089588020274098,0.9089598741550753,0.9089609462827408,0.9089620184104062,0.9089630905380717,0.9089641626657372,0.9089476505503498,0.9089523562200378,0.9089602601195136,0.9089681640189895,0.9089760679184652,0.9089839718179411,0.9089918757174168,0.9089997796168926,0.9090076835163685,0.9090116661564551,0.9090138024099181,0.9090159386633812,0.9090180749168442,0.9090202111703073,0.9090223474237703,0.9090244836772333,0.9090213355046413,0.9090063006688557,0.9089912658330701,0.9089762309972846,0.9089578036030446,0.908938498822555,0.9089191940420653,0.9088998892615756,0.9088805844810861,0.9088623963729396,0.9088582071170634,0.9088540178611872,0.908849828605311,0.9088456393494349,0.9088414500935585,0.908838732295574,0.9088430983179872,0.9088474643404002,0.9088518303628134,0.9088561963852265,0.9088614953530003,0.9088676931251877,0.9088738908973748,0.9088800886695623,0.9088813687559861,0.9088796649311124,0.9088779611062385,0.9088762572813647,0.9088745534564908,0.9088719406862751,0.9088542999707497,0.9088388495251706,0.9088239347321598,0.9088090199391491,0.9088024676268357,0.9087980315357882,0.9087935954447406,0.9087891593536931,0.9087847232626455,0.908780287171598,0.9087763905217979,0.908775409754919,0.908774009802338,0.9087681506085897,0.9087622914148414,0.908756432221093,0.9087505730273447,0.9087447138335963,0.908738854639848,0.9087390440825115,0.9087457444586977,0.9087524448348842,0.9087591452110705,0.9087658455872568,0.9087725459634431,0.9087792502413226,0.908786082949013,0.9087929156567033,0.9087997483643935,0.9088065810720838,0.9088134137797741,0.9088159275853189,0.9088166236980604,0.9088169183544732,0.9088172130108859,0.9088175076672987,0.9088178023237116,0.9088180969801244,0.9088183916365372,0.9088186862929499,0.9088189809493628,0.9088192756057756,0.9088219504082725,0.9088298019778434,0.9088376535474141,0.908845505116985,0.9088522444499716,0.9088587779398603,0.9088653114297488,0.9088718449196374,0.908878378409526,0.9088849118994146,0.9088914453893032,0.9088979788791918,0.9089035621159713,0.9089048273895064,0.9089060926630412,0.9089073579365763,0.9089086232101113,0.9089098884836464,0.9089111537571813,0.9089124190307165,0.9089136843042515,0.9089149495777864,0.9089162148513215,0.9089174801248565,0.9089187453983915,0.9089206784531216,0.9089230196069911,0.9089253607608605,0.9089277019147297,0.9089309710021197,0.9089343385435855,0.9089377060850514,0.9089410736265172,0.908944441167983,0.9089478087094489,0.9089495191118155,0.9089507104829678,0.9089519018541201,0.9089535590931517,0.9089559009386811,0.9089582427842104,0.9089605846297398,0.9089629264752692,0.9089652683207987,0.908967610166328,0.9089699520118575,0.9089722938573868,0.9089746357029163,0.9089738730226612,0.9089718005739336,0.9089743548266286,0.9089769090793237,0.9089794633320187,0.9089820175847139,0.908984571837409,0.9089871260901041,0.908989680342799,0.9089920345426725,0.9089943740286166,0.9089932486016764,0.9089952045609441,0.9089937438571161,0.908992283153288,0.9089908224494598,0.9089893617456319,0.9089881439685608,0.908987584054816,0.9089870241410714,0.9089864642273267,0.908985904313582,0.9089853443998372,0.9089853202838365,0.9089856313431531,0.9089859424024698,0.9089862534617865,0.9089880172581167,0.9089910893839058,0.9089941615096948,0.9089966103652607,0.9089978440241091,0.9089990776829575,0.9089992174745067,0.9089924059048838,0.9089855943352609,0.9089787827656379,0.9089743246784048,0.9089706786185202,0.9089670325586358,0.9089638735618357,0.9089616479621435,0.9089594729114774,0.9089616267777152,0.9089642885971203,0.9089669504165254,0.9089696122359305,0.9089741182438615,0.9089797583509294,0.9089825979369397,0.9089811996479764,0.9089807585026577,0.908981341527918,0.9089819245531785,0.9089825075784387,0.908983090603699,0.9089818821850797,0.9089798915554077,0.9089781237182083,0.9089763558810089,0.9089745880438094,0.9089747058147843,0.9089782444737483,0.9089817831327123,0.9089853217916763,0.9089888604506402,0.9089913149460587,0.9089906766723705,0.9089843720308057,0.9089772341983509,0.908970096365896,0.9089629585334412,0.9089558207009865,0.9089486828685316,0.9089415450360767,0.9089344072036218,0.908927269371167,0.9089197973923747,0.9089078670858034,0.9088997513297742,0.9088922863839586,0.9088848214381431,0.9088776467202913,0.908870908142857,0.9088641695654229,0.9088574309879887,0.9088506924105546,0.9088439538331203,0.9088372152556863,0.908830476678252,0.9088162090928938,0.9087995436884875,0.9087912943976195,0.9087830451067518,0.9087747958158839,0.9087665465250162,0.9087582972341484,0.9087500479432805,0.9087455844983046,0.9087439119697582,0.9087422554723582,0.908740598974958,0.9087389424775578,0.9087340186890303,0.9087212679445775,0.9087085172001246,0.9086957664556718,0.9086847082730913,0.9086810633938701,0.908677418514649,0.9086737736354278,0.9086701287562067,0.9086681324931336,0.9086722055160235,0.9086769441286866,0.9086816827413497,0.9086864213540129,0.908691159966676,0.908696112080276,0.908695304722523,0.9086937973799897,0.9086922900374562,0.9086907826949229,0.9086892753523895,0.9086877680098561,0.9086862606673227,0.908693337949016,0.9086967577809117,0.9087001776128076,0.9087035974447035,0.9087070172765994,0.9087104371084953,0.9087138569403912,0.908717276772287,0.908720696604183,0.9087241164360789,0.9087224305883108,0.9087197593931255,0.9087170881979401,0.9087144170027548,0.9087117458075695,0.9087090746123841,0.9087064034171988,0.9087076920834698,0.908711817657061,0.9087109391389931,0.9087074309358381,0.908703922732683,0.9087004145295279,0.9086969063263728,0.9086933981232177,0.9086898899200626,0.9086835392091861,0.908676820976379,0.9086741966387993,0.908680889882289,0.9086902999652529,0.9086997100482168,0.9087091201311805,0.9087185302141445,0.9087279402971082,0.9087373503800721,0.9087419416880131,0.9087459675477448,0.9087499934074765,0.9087520606546872,0.9087503308974987,0.9087478898895283,0.9087454488815581,0.9087430078735879,0.9087405668656175,0.9087381258576472,0.9087356848496769,0.9087332438417067,0.9087308028337364,0.9087283618257661,0.9087256508551975,0.9087183531366971,0.9087110554181969,0.9087037576996966,0.9086964599811962,0.9086924079743043,0.9086934220730823,0.9086916602322537,0.9086896555713109,0.9086876884959433,0.9086865244844081,0.908685360472873,0.9086841964613378,0.9086830324498025,0.9086818684382674,0.9086807044267322,0.908679540415197,0.9086783764036618,0.9086772123921265,0.9086710914106,0.9086540226587803,0.9086369539069605,0.9086205902277185,0.9086118299497479,0.9086030696717772,0.9085943093938067,0.9085869162184244,0.9085891540000126,0.9085956705809035,0.9086002700501514,0.9085981172427884,0.9085930551302364,0.908586694953774,0.9085803347773115,0.908573974600849,0.9085676144243865,0.908561254247924,0.9085548940714614,0.9085485338949989,0.9085337425832275,0.9085132424437286,0.9084931977785069,0.9084831536464183,0.9084819612914323,0.9084807689364462,0.9084795765814604,0.9084783842264743,0.9084766366196013,0.908476727036255,0.9084779586999114,0.9084791903635677,0.9084804220272241,0.9084816536908804,0.9084828853545368,0.9084845409157292,0.9084882486468696,0.9084938365253532,0.9084994244038369,0.9085050122823206,0.9085073807711683,0.9085095504020404,0.9085117200329126,0.9085101368481904,0.9084975336851324,0.9084849305220744,0.9084723273590164,0.9084612077727734,0.9084587782824836,0.9084623355516235,0.9084658928207633,0.9084694500899032,0.908473007359043,0.9084765646281829,0.9084801218973229,0.9084836791664628,0.9084872364356027,0.9084907937047425,0.9084943509738824,0.9084979082430222,0.9085055611816684,0.9085136702752992,0.9085177268003624,0.9085168745781196,0.9085160223558766,0.9085171522657834,0.9085193897306814,0.9085216271955792,0.9085238646604771,0.9085265635429101,0.9085294577588996,0.9085323519748891,0.9085352461908786,0.9085381404068682,0.9085410346228576,0.9085426577004136,0.9085421415884605,0.9085416254765075,0.9085433091437206,0.9085476240477166,0.9085519389517125,0.9085562538557086,0.9085605687597046,0.9085629808928201,0.9085622779982723,0.9085615751037245,0.9085608722091768,0.908560169314629,0.9085594664200813,0.9085587635255337,0.9085586607053308,0.9085568734833214,0.908555079145883,0.9085532848084443,0.9085514904710057,0.9085494387376455,0.9085458010947505,0.9085350891124034,0.9085243771300562,0.908513665147709,0.9085046769560998,0.9085030523871013,0.9085014278181028,0.9084998032491043,0.9084981786801057,0.9084965541111072,0.908493879754563,0.9084885570398831,0.9084845705208929,0.9084834399672455,0.9084836802695027,0.9084839205717601,0.9084810038123445,0.9084773479193251,0.9084736920263057,0.9084700361332863,0.9084663802402667,0.9084627243472472,0.9084590684542279,0.9084554125612083,0.9084545604474908,0.9084617925149789,0.9084690245824669,0.9084762566499549,0.9084834887174431,0.9084827834272253,0.9084805423267622,0.9084783012262991,0.9084760601258361,0.9084738190253732,0.9084715779249101,0.9084693368244471,0.9084614357661569,0.9084528582736869,0.9084442807812169,0.9084357032887469,0.9084272352345687,0.9084189937048304,0.9084171711525466,0.9084163482047904,0.9084146879315278,0.9084114723086237,0.9084023743230965,0.9083937845321448,0.9083862092171622,0.9083854753816137,0.9083847415460654,0.9083867744464266,0.9083938046143729,0.9084008347823194,0.9084054710717259,0.9084080024945349,0.9084105339173438,0.9084130653401529,0.9084155967629619,0.9084239309298865,0.9084324187734097,0.908440906616933,0.9084493944604564,0.9084578823039795,0.9084593641687028,0.9084519924582499,0.908444620747797,0.908437249037344,0.9084298773268912,0.9084225056164383,0.9084151339059854,0.9084077621955325,0.9084003904850797,0.9083930187746267,0.9083856470641738,0.9083782753537208,0.9083709036432681,0.9083635319328152,0.9083561602223622,0.9083466506790709,0.908334701051823,0.9083227514245751,0.9083079029327029,0.9082975181349006,0.9083014053279348,0.9083088633065952,0.9083163212852557,0.9083237792639163,0.9083312372425767,0.9083386952212371,0.9083400020265602,0.908340714884103,0.9083414277416457,0.9083421405991885,0.908341125696693,0.9083399850244946,0.9083388443522963,0.9083377036800979,0.9083365630078997,0.9083339898982701,0.908328306481738,0.9083226230652061,0.9083169396486741,0.9083112562321423,0.9083055728156104,0.9082998893990784,0.9082942059825465,0.9082684774100904,0.9082635264660153,0.9082585755219401,0.908251070608894,0.9082277941023342,0.9081928583944187,0.908157922686503,0.9081229869785873,0.9080880512706716,0.9080726340026934,0.9080778397228699,0.9080828270585353,0.9080878143942006,0.908092801729866,0.9080977890655312,0.9081027764011965,0.9081077637368618,0.9081127510725271,0.9081177384081924,0.9081227257438577,0.9081277130795229,0.9081327004151882,0.9081376877508536,0.9081426750865188,0.9081476624221843,0.908151017873325,0.9081518865767424,0.908154528602112,0.9081578902793823,0.9081612519566524,0.9081646136339225,0.9081679753111929,0.908171336988463,0.9081746986657331,0.9081780603430032,0.9081814220202735,0.9081846584537272,0.9081856591739066,0.9081866598940858,0.9081876606142651,0.9081886613344443,0.9081885115005577,0.9081861359892611,0.9081837604779646,0.9081813849666679,0.9081790094553713,0.9081766339440747,0.9081742584327781,0.9081718829214815,0.9081695074101849,0.9081679507775002,0.9081690383118565,0.9081701258462125,0.9081712133805686,0.9081723009149246,0.9081733884492807,0.908175311698816,0.9081778453456003,0.9081803789923847,0.908182912639169,0.9081803547705336,0.9081724735545729,0.908164592338612,0.9081567111226514,0.9081508281927667,0.9081507842058698,0.9081443853102764,0.9081379864146828,0.9081315875190894,0.9081251886234959,0.9081187897279024,0.908112390832309,0.9081128445776969,0.9081146630858734,0.9081164815940499,0.9081183001022265,0.9081201186104031,0.9081219371185796,0.9081237556267562,0.9081255741349328,0.9081273926431093,0.9081292111512858,0.9081310296594622,0.9081188209482653,0.908100503207621,0.9080831500465383,0.9080684514964025,0.9080537529462667,0.9080390543961309,0.9080252270405758,0.9080124238587821,0.9079996206769884,0.9079868174951946,0.907974014313401,0.9079731714731185,0.9079802230824612,0.9079860507423166,0.9079802548987912,0.9079744590552659,0.9079686632117405,0.9079628673682151,0.9079570715246899,0.9079512756811644,0.9079468238069115,0.9079424461399981,0.9079380684730849,0.9079435239241544,0.9079527302540279,0.9079619365839012,0.9079711429137747,0.907980349243648,0.9079896829687155,0.9079991178028055,0.9080085526368955,0.9080179874709856,0.9080274223050757,0.9080368571391656,0.9080462919732557,0.9080521388300862,0.9080476524733938,0.9080431661167014,0.9080386797600091,0.9080350940192787,0.9080308045934844,0.9080265151676898,0.9080222257418954,0.908017936316101,0.9080136468903064,0.9080093574645121,0.9080050680387175,0.9080007786129229,0.9079906727418103,0.9079763281030061,0.9079619834642019,0.9079476388253975,0.9079332941865934,0.9079287504215896,0.9079242456528123,0.9079197408840349,0.9079152361152577,0.9079160341417531,0.9079178267515107,0.9079196193612682,0.9079214119710257,0.9079202512100024,0.9079181199225883,0.907915988635174,0.9079138573477599,0.9079138061007243,0.9079140653594286,0.9079143246181332,0.9079145838768374,0.9079148431355419,0.9079151023942463,0.9079173622963321,0.907921806749804,0.9079244761187476,0.9079265693930283,0.9079286626673088,0.9079307559415895,0.90793284921587,0.9079349424901506,0.9079370357644312,0.9079391290387118,0.9079412223129923,0.9079427824650349,0.9079437506199506,0.9079447187748663,0.907945686929782,0.9079466550846977,0.9079476232396133,0.9079485058058292,0.9079449612284646,0.9079423739056794,0.9079397908466632,0.9079372077876469,0.9079346247286306,0.9079320416696144,0.907929458610598,0.9079268755515817,0.9079242924925655,0.9079217094335492,0.907919126374533,0.9079203119102861,0.9079276946909733,0.9079354629272637,0.907943231163554,0.9079509993998444,0.9079587676361347,0.9079665358724252,0.9079743041087155,0.9079820723450058,0.9079898405812963,0.9079956813252135,0.9079989913099806,0.9080023012947479,0.9080056112795151,0.9080043204112981,0.9079940845832934,0.9079838487552888,0.9079736129272842,0.9079633770992794,0.9079531412712749,0.9079429054432703,0.9079326696152656,0.9079224337872609,0.9079127078113636,0.9079030924128297,0.9078934770142959,0.9078838616157618,0.907874246217228,0.9078646308186942,0.9078523489788409,0.9078389477842485,0.9078255465896559,0.9078105527352434,0.9077923685972111,0.9077741844591789,0.9077560003211467,0.9077378161831144,0.9077196320450823,0.9077014479070501,0.90768995473293,0.9076807628610197,0.9076745866103602,0.9076825328715692,0.9076904791327784,0.9076984253939875,0.9077063716551966,0.9077143179164059,0.907722264177615,0.9077302104388241,0.9077381567000333,0.9077461029612424,0.9077540492224516,0.9077619954836608,0.9077699417448699,0.9077664132539149,0.9077529879015265,0.907739562549138,0.9077167006943023,0.9076937669850557,0.9076708332758089,0.9076478995665621,0.9076251663657864,0.9076034514311613,0.9075856082699088,0.9075732944817484,0.907560980693588,0.9075486669054276,0.9075363531172673,0.9075269576927032,0.9075215730111974,0.9075161883296917,0.9075108036481859,0.9075054189666801,0.9075000342851745,0.9074946496036687,0.9074892649221629,0.9074838802406571,0.9074784955591513,0.9074731108776455,0.907466309104896,0.9074562956705348,0.9074513081452825,0.907455557000266,0.9074598058552494,0.9074640547102328,0.9074683035652162,0.9074725524201998,0.9074768012751833,0.9074810501301667,0.9074852989851501,0.9074895478401335,0.9074965462785254,0.9075048035863204,0.907512046315831,0.9075112676067807,0.9075104888977304,0.9075097101886802,0.9075089314796299,0.9075081527705795,0.9075104569256351,0.9075150460762966,0.9075196352269581,0.9075242243776196,0.9075271777896432,0.907529872653825,0.9075325675180068,0.9075352623821885,0.9075379572463702,0.907540652110552,0.9075433469747337,0.9075460418389154,0.9075487367030972,0.907551431567279,0.9075541264314606,0.9075550156709831,0.9075326554775394,0.9075102952840957,0.907487935090652,0.9074655748972081,0.9074539280129473,0.9074562178276979,0.9074583953905545,0.9074601078825493,0.9074618203745441,0.907463532866539,0.9074652453585338,0.9074669578505286,0.9074686703425234,0.9074703828345183,0.9074578062270509,0.9074356129743296,0.9074134197216082,0.9073919870252926,0.9073739759215322,0.907355964817772,0.9073379537140118,0.9073381468933774,0.9073410238146544,0.9073439007359315,0.9073467776572086,0.9073496545784857,0.9073525314997628,0.9073554084210398,0.9073583234848835,0.9073612650844567,0.9073642066840297,0.9073643986091808,0.9073489133148336,0.9073334280204866,0.9073179427261393,0.9073143895590324,0.9073194110366254,0.9073244325142182,0.9073294539918111,0.907334475469404,0.907339496946997,0.9073445184245899,0.9073495399021827,0.9073536629143484,0.907357322807397,0.9073609827004454,0.9073648838192272,0.9073689322014067,0.9073729805835864,0.907377028965766,0.907379919770456,0.907382042433252,0.9073840936051658,0.9073861447770797,0.9073881959489934,0.9073902471209072,0.9073922982928211,0.9073943494647349,0.9073964006366486,0.9073994974680608,0.9074034437773743,0.9074073900866876,0.907411336396001,0.9074152827053144,0.9074192290146277,0.9074234851078606,0.907428846769977,0.9074342084320934,0.90743957009421,0.9074449317563265,0.9074502934184429,0.9074424013547426,0.9074294792185705,0.9074165570823984,0.9074036349462262,0.907390712810054,0.9073946371522357,0.9074002892115147,0.9074059412707938,0.9074115933300729,0.907417245389352,0.9074228974486311,0.9074285495079102,0.9074342015671892,0.9074399399863728,0.9074459557339829,0.9074540406379712,0.9074630372272094,0.9074720338164475,0.9074810304056855,0.9074900269949238,0.9074964363701168,0.9075016878837927,0.907506662110179,0.9075116363365656,0.9075166105629522,0.9075215847893385,0.907526559015725,0.9075315332421114,0.907536507468498,0.9075414816948844,0.9075464559212709,0.9075515106455381,0.907556816240173,0.9075620516703209,0.9075670912101683,0.9075700104307038,0.9075729296512394,0.9075758488717748,0.9075787680923102,0.9075816873128458,0.9075846065333812,0.9075875257539168,0.9075904449744523,0.9075933641949877,0.9075962834155232,0.9075992026360586,0.907603016773736,0.9076073311403986,0.9076116455070612,0.9076159598737237,0.9076218548497108,0.90762960769827,0.9076373605468291,0.9076451133953883,0.9076528662439476,0.9076606190925067,0.9076676607619669,0.9076741068478008,0.9076805529336347,0.9076785900700219,0.9076739266164564,0.907669263162891,0.9076645997093254,0.9076599362557599,0.9076551632077933,0.9076503208866973,0.9076454785656014,0.9076376987094434,0.9076200743237958,0.9076024499381483,0.9075848255525008,0.9075672011668532,0.9075495767812056,0.9075319523955581,0.9075143280099106,0.9074967036242629,0.9074825323282617,0.9074825457316226,0.9074883270447833,0.907494108357944,0.9074998896711048,0.9075056709842655,0.9075114522974261,0.9075172336105869,0.9075230149237477,0.9075287962369083,0.9075345775500689,0.9075403290886227,0.9075419080910216,0.9075434870934205,0.9075450660958194,0.9075466450982184,0.9075488507598526,0.9075514610397318,0.9075540713196112,0.9075566815994904,0.9075592918793697,0.9075619021592489,0.9075676910774477,0.9075742410394905,0.9075807910015332,0.907587340963576,0.9075938909256188,0.9076004408876615,0.9076069908497043,0.9076135408117472,0.9076168277186891,0.9076155378736389,0.9076142480285886,0.9076129581835383,0.9076116683384879,0.9076117861496682,0.9076137224839227,0.9076156588181772,0.9076175951524319,0.9076195314866864,0.9076214678209409,0.9076234041551954,0.9076253404894501,0.9076272768237046,0.9076292131579591,0.9076311494922137,0.9076279991190427,0.9076216813800337,0.9076153636410247,0.9076090459020157,0.9076027281630068,0.9075964104239977,0.9075900926849888,0.9075837749459797,0.9075820401541422,0.9075813461304755,0.9075806521068086,0.9075799580831418,0.9075792640594751,0.9075785700358083,0.9075778760121417,0.9075771819884749,0.9075792688776286,0.9075844850247768,0.9075897011719252,0.9075949173190734,0.9076001334662217,0.9076059016725022,0.9076122608681332,0.9076186200637639,0.9076244270625793,0.9076296588859253,0.9076348907092711,0.907640122532617,0.907645354355963,0.9076505861793089,0.9076558180026548,0.9076610498260007,0.9076662816493466,0.9076715134726925,0.9076763845933395,0.9076806595819673,0.9076849345705951,0.9076889230537987,0.907692027179924,0.9076951313060493,0.9076982354321748,0.9077013395583,0.9077044436844254,0.9077075478105507,0.907710651936676,0.9077137560628012,0.9077168601889267,0.907719964315052,0.9077230684411773,0.9077261725673027,0.9077300354204412,0.9077351694271845,0.9077403034339278,0.9077460206221971,0.9077525719831274,0.9077591233440576,0.9077656747049878,0.907772226065918,0.9077788710633703,0.9077857395108629,0.9077926079583556,0.9077980779975503,0.907801083424442,0.9078040888513337,0.9078070942782255,0.9078100997051171,0.9078131051320089,0.9078161105589007,0.9078191159857922,0.907822121412684,0.9078251268395757,0.9078281322664674,0.907831149543858,0.9078342268884304,0.9078373042330029,0.9078403815775753,0.9078434589221478,0.9078465362667202,0.9078477540378884,0.9078479243447388,0.907848134708908,0.9078483450730772,0.9078485554372466,0.9078487658014159,0.9078489761655852,0.9078491865297544,0.9078496876148885,0.9078501892588979,0.907851243599179,0.9078543603327278,0.9078574770662766,0.9078605937998254,0.9078637105333742,0.907866827266923,0.9078699440004718,0.9078730607340206,0.9078761774675695,0.9078728879570035,0.9078689318540568,0.9078640469350194,0.9078591620159818,0.9078542770969443,0.9078493921779069,0.9078445072588694,0.907839622339832,0.9078347374207945,0.9078339452477084,0.9078364855033231,0.9078390257589376,0.9078415660145522,0.9078441062701668,0.9078466465257813,0.9078491867813958,0.9078517270370106,0.9078542672926251,0.9078568075482396,0.9078600900189956,0.9078634331021793,0.9078667761853632,0.907870119268547,0.9078734623517308,0.9078768054349146,0.9078801485180985,0.9078821751911603,0.9078830760709369,0.9078839769507134,0.90788487783049,0.9078857787102663,0.9078844455913926,0.9078827981334829,0.9078811506755735,0.9078795032176639,0.9078778557597542,0.9078762083018448,0.9078745608439351,0.9078729133860255,0.907871265928116,0.9078696184702064,0.9078679710122968,0.9078663235543872,0.9078646760964777,0.9078626922690376,0.9078609705694556,0.9078605128268536,0.9078600550842517,0.9078595973416499,0.9078591395990481,0.9078586818564461,0.9078582241138442,0.9078534072181063,0.9078484548631036,0.9078435025081009,0.9078385501530981,0.9078335977980956,0.9078286454430928,0.9078236930880902,0.9078187407330874,0.9078137883780848,0.907808836023082,0.9078038836680793,0.9078006931922677,0.907801768676511,0.907796588455269,0.9077807403997495,0.9077648923442301,0.9077490442887107,0.9077331962331913,0.9077173481776718,0.907698729831093,0.9076779792915372,0.9076572287519814,0.9076364782124255,0.9076157276728697,0.9075949771333138,0.9075742265937581,0.9075677991063908,0.9075757416618183,0.9075836842172456,0.9075916267726729,0.9075995693281004,0.9076075118835277,0.907615454438955,0.9076233969943824,0.9076313395498097,0.9076392821052371,0.9076472246606644,0.9076551672160917,0.9076608765067536,0.9076659171955865,0.9076709578844195,0.9076759985732525,0.9076810392620855,0.9076869196211217,0.9076929382973193,0.9076959407517,0.9076989432060805,0.907701945660461,0.9077049481148416,0.9077079505692222,0.9077109530236027,0.9077139554779833,0.907717461193843,0.9077213891750894,0.907725317156336,0.9077292451375825,0.907733173118829,0.9077364891945967,0.9077395624000062,0.9077426356054155,0.907745708810825,0.9077487820162344,0.9077518552216439,0.9077549284270533,0.9077580016324627,0.9077610748378722,0.9077641480432815,0.907767221248691,0.9077702944541004,0.9077719272942337,0.907771090492536,0.9077702536908382,0.9077694168891406,0.9077685800874428,0.9077677432857449,0.9077669064840473,0.9077662011621335,0.9077656686154923,0.9077651360688515,0.907763947348462,0.9077626457388767,0.9077613441292913,0.9077600425197059,0.9077587409101204,0.907759796404628,0.9077619781327013,0.9077650614482422,0.9077696327825664,0.9077742041168904,0.9077787754512145,0.9077833467855387,0.9077879181198628,0.9077924894541869,0.9077970607885111,0.9078016321228353,0.9078062034571593,0.9078107747914834,0.9078153461258076,0.9078199174601317,0.9078244887944558,0.90782906012878,0.9078336314631041,0.9078381613648587,0.9078421170342615,0.9078460727036645,0.9078500026822536,0.9078478008673734,0.907845621285971,0.9078434805856703,0.9078413398853695,0.907839199185069,0.9078372077931864,0.9078371242693686,0.9078370407455509,0.9078369572217333,0.9078368736979155,0.9078367901740978,0.9078367066502802,0.9078366231264625,0.9078365396026448,0.9078354764850076,0.9078305631241206,0.9078256497632335,0.9078207364023466,0.9078163615717032,0.9078134790168589,0.9078105964620147,0.9078077139071703,0.9078048115390835,0.9078014965604184,0.9077981815817531,0.9077948666030877,0.9077915516244224,0.9077882452570978,0.9077859238118522,0.9077836023666066,0.907781280921361,0.9077789594761155,0.9077766380308699,0.9077748028728971,0.9077748589183515,0.9077746468985882,0.907773900142943,0.9077731533872977,0.9077724066316524,0.907771659876007,0.907770913120362,0.9077701663647166,0.9077694196090713,0.9077686728534261,0.9077679260977809,0.9077671793421356,0.9077669584969523,0.9077668606489041,0.9077667628008559,0.9077666649528076,0.9077665671047592,0.9077639678076337,0.9077607950912839,0.9077576223749343,0.9077544496585845,0.9077512769422349,0.9077495185381435,0.9077478625747231,0.9077462066113027,0.9077445506478823,0.9077466040524241,0.9077510275592862,0.9077554510661481,0.90775987457301,0.9077642980798721,0.9077687215867339,0.907773145093596,0.9077775686004579,0.9077819921073198,0.9077864156141819,0.907790785380964,0.9077932604752382,0.9077950178880931,0.9077967753009482,0.9077985327138032,0.9078002901266581,0.9078017932331761,0.9078026427868657,0.9078034923405554,0.9078027222514737,0.907797760808557,0.9077931344481257,0.9077890342983688,0.9077849341486119,0.9077808339988551,0.9077767338490982,0.9077726336993412,0.9077685335495844,0.9077644919400303,0.9077701270030258,0.9077763116362658,0.9077824962695058,0.907788680902746,0.9077948655359859,0.907801050169226,0.9078072348024661,0.907813419435706,0.9078196040689461,0.9078257887021861,0.9078322099787501,0.9078392664169355,0.9078463228551206,0.9078533792933059,0.9078539506952681,0.9078537964636738,0.9078536422320795,0.9078534880004854,0.907853333768891,0.9078531795372967,0.9078530253057024,0.9078528005687918,0.9078485216074555,0.9078450161046769,0.9078415106018983,0.9078380050991197,0.907834499596341,0.9078309940935623,0.9078274885907838,0.907823983088005,0.9078204775852264,0.9078169720824478,0.9078134665796691,0.907810395980817,0.9078102734282829,0.9078120741617853,0.9078138748952879,0.9078156756287904,0.9078174763622928,0.9078192770957954,0.9078231339536995,0.9078210850121358,0.9078127293539047,0.9078043736956735,0.9077960180374423,0.907787662379211,0.9077793067209798,0.9077709510627487,0.9077625954045174,0.9077542397462863,0.9077458840880552,0.9077375284298239,0.9077291727715928,0.9077228383922112,0.9077179576194225,0.9077123571585068,0.907706756697591,0.9077011562366755,0.9076955557757598,0.9076899553148441,0.9076843548539284,0.9076787014304054,0.9076718725091382,0.907665043587871,0.907658214666604,0.9076513857453368,0.9076471020927424,0.9076496939983121,0.9076503954546331,0.9076469392917015,0.9076434831287699,0.9076400269658382,0.9076365708029066,0.9076318140289272,0.9076258919100575,0.9076199697911878,0.907614047672318,0.9076081255534482,0.9076022034345783,0.9075962813157086,0.9075949930999043,0.9075955823256823,0.9075965646903663,0.9075987877499878,0.9076010108096091,0.9076032338692306,0.907586059734798,0.9075686876528705,0.907551315570943,0.9075339434890156,0.9075165714070883,0.9074991993251608,0.9074818272432333,0.9074644551613058,0.9074470830793786,0.9074306563213848,0.9074167098489906,0.9074027633765964,0.9073888169042021,0.907374870431808,0.9073615486033475,0.9073600711891641,0.9073631761640687,0.9073662811389736,0.9073693861138782,0.907372491088783,0.90737718442564,0.9073824618181641,0.9073877392106882,0.9073930166032123,0.9073982939957363,0.9074018605443945,0.9074024711296906,0.9074030817149867,0.9074036788264004,0.9074040862496345,0.9074044936728688,0.907404901096103,0.9074055443973608,0.9074114470145935,0.9074173496318261,0.9074232522490587,0.9074291548662914,0.9074330695971075,0.9074367517296542,0.9074404338622007,0.9074441159947474,0.907447798127294,0.9074514802598408,0.9074545031469592,0.9074554118552515,0.9074563205635438,0.9074573391072878,0.9074589586140076,0.9074605781207274,0.9074617898084175,0.9074505883262165,0.9074393868440156,0.9074281853618147,0.9074169838796138,0.9074057823974127,0.9073946044908598,0.9073834703788575,0.9073723362668551,0.9073612021548527,0.9073500680428503,0.907338933930848,0.9073277998188456,0.9073174439019605,0.9073072186357687,0.9073081768802376,0.9073098827013,0.9073115885223624,0.9073132943434248,0.9073150001644872,0.9073204296591473,0.9073260246214669,0.9073316195837864,0.907337214546106,0.9073428095084255,0.9073484044707449,0.9073539994330646,0.9073575255968056,0.907356829410016,0.9073538022975658,0.907347579324885,0.9073413563522041,0.9073351333795232,0.9073289104068424,0.9073226874341613,0.907322528823231,0.9073236851786736,0.9073278857959737,0.9073344277871643,0.9073409866236429,0.9073475454601215,0.9073541042966,0.9073606631330786,0.9073672219695572,0.9073737808060357,0.9073803396425144,0.9073868984789929,0.9073934573154715,0.9073990276031001,0.9074033871800662,0.9074077467570323,0.9074111494669644,0.9074131586714798,0.9074151678759952,0.9074171770805104,0.9074092886432954,0.9073954905088839,0.907382673670815,0.9073701738848303,0.9073576578270919,0.907344894788962,0.907332131750832,0.9073193687127021,0.9073066056745722,0.9072938426364423,0.9072810795983125,0.907273566712768,0.9072758883564757,0.9072782100001833,0.907280531643891,0.9072818151966426,0.907274897629105,0.9072679800615673,0.9072610624940296,0.907254144926492,0.9072472273589544,0.9072403097914166,0.9072333922238791,0.9072318041203411,0.9072337044838077,0.9072356048472743,0.9072371444668205,0.9072386621788131,0.9072403038683097,0.9072421081869437,0.9072438882972439,0.9072456684075442,0.9072474485178444,0.9072492286281446,0.9072518364871236,0.9072547939163681,0.9072577513456126,0.9072607087748571,0.9072636662041016,0.907266623633346,0.9072695810625906,0.907272538491835,0.9072754959210795,0.9072793161024792,0.9072874146686554,0.9072955132348313,0.9073036118010074,0.9073117103671835,0.9073174312961134,0.9073188528676482,0.9073202744391832,0.907321696010718,0.9073231175822529,0.9073245391537879,0.9073259607253228,0.9073280544247719,0.9073307516503214,0.9073334488758709,0.9073361461014202,0.9073388433269696,0.9073415405525191,0.9073442377780685,0.907346935003618,0.9073496322291674,0.9073523294547168,0.9073550266802661,0.90735583409632,0.9073565470660199,0.9073572600357198,0.9073554233850831,0.9073504507520196,0.907345478118956,0.9073405054858926,0.9073355328528291,0.9073305602197655,0.907325587586702,0.9073206149536385,0.9073157306840324,0.9073117917077477,0.9073078527314629,0.907303913755178,0.9073028167924124,0.9073028561566754,0.9073028955209381,0.9073029348852011,0.9073050961082345,0.9073080115005717,0.907310926892909,0.9073136288966565,0.9073159923766811,0.9073183558567057,0.9073207193367303,0.9073230828167549,0.9073254462967795,0.907327809776804,0.9073301732568286,0.9073325367368532,0.9073349002168778,0.9073377310434463,0.9073414673817881,0.9073452037201304,0.9073489400584724,0.9073543812646336,0.907362594527158,0.9073708077896823,0.9073790210522066,0.9073872343147309,0.9073954475772553,0.9074016538821839,0.9074062795359508,0.9074098788699241,0.9074134782038974,0.9074170775378707,0.907420676871844,0.9074242762058173,0.9074278755397907,0.907431474873764,0.9074350742077374,0.9074386735417106,0.907442272875684,0.9074458722096572,0.9074494715436306,0.907453070877604,0.9074566702115772,0.9074604926281487,0.9074648120368496,0.9074674956144476,0.9074701791920456,0.9074728627696438,0.9074755463472417,0.9074782299248398,0.9074809135024379,0.9074835970800359,0.907486280657634,0.9074889642352321,0.9074916478128301,0.9074889191701727,0.9074852254134971,0.9074815316568214,0.9074780082770726,0.9074750427526539,0.9074720772282352,0.9074697497907945,0.907473543583512,0.9074773373762293,0.9074811311689466,0.9074849249616639,0.9074887187543812,0.9074925125470986,0.907496306339816,0.9074998792505083,0.9075033688589647,0.9075068584674209,0.907510348075877,0.9075138376843335,0.9075137280967629,0.9075095366629511,0.9075053452291395,0.9075011537953277,0.9074969623615159,0.9074927709277043,0.9074885794938925,0.9074843880600808,0.9074847912977084,0.9074852800422237,0.9074823072222672,0.9074793344023107,0.9074763615823541,0.9074733887623976,0.9074704159424409,0.9074674431224844,0.9074644703025279,0.9074614510194878,0.9074584305682871,0.9074554101170864,0.9074523896658857,0.9074495727505547,0.9074472581483186,0.9074449435460826,0.9074426289438466,0.9074403143416105,0.9074379997393744,0.9074356851371383,0.9074333705349023,0.9074310559326662,0.9074300764823793,0.9074318111869949,0.9074335458916105,0.9074366737652582,0.9074414011785276,0.907446128591797,0.9074508560050663,0.9074555834183358,0.907460310831605,0.9074650382448745,0.9074697656581439,0.9074744930714131,0.9074792204846825,0.907483947897952,0.9074886719646956,0.9074825517049419,0.9074760297618868,0.9074703253816132,0.9074681418768249,0.9074714856533612,0.9074748294298978,0.9074781732064341,0.9074815169829705,0.907484860759507,0.9074882045360433,0.9074910929964537,0.9074937467489175,0.9074964005013813,0.9075007674859458,0.9075052793357201,0.9075100166748864,0.9075150381344086,0.9075202634792137,0.9075255286210631,0.9075307937629122,0.9075360589047614,0.9075383429444708,0.9075394960488863,0.9075406491533017,0.9075418022577171,0.9075429553621326,0.907543080138828,0.9075430464620584,0.9075411398786337,0.9075358142145149,0.9075305273901297,0.9075252405657444,0.907519953741359,0.9075146669169736,0.9075128859823386,0.907513520911863,0.9075141558413875,0.9075147907709119,0.9075154257004364,0.9075147000996867,0.907511038093556,0.9075073760874255,0.9075037140812948,0.9075000520751642,0.9074967170286758,0.9074931859952876,0.9074886503273933,0.9074841146594992,0.907479578991605,0.9074750433237108,0.9074705076558165,0.9074659719879223,0.9074614363200282,0.9074569006521338,0.9074557921694393,0.9074554435348141,0.9074510519579274,0.9074441079972829,0.9074371640366384,0.907430220075994,0.9074232761153496,0.9074001385045545,0.9073658248846979,0.9073315112648415,0.907296950804301,0.9072610080183061,0.9072343329022108,0.9072209611916867,0.9072075894811626,0.9071942177706387,0.907180918887275,0.9071676859478277,0.9071544530083804,0.9071523036476054,0.9071524851373891,0.9071526666271728,0.9071528481169566,0.9071530296067403,0.9071532110965241,0.9071541849187611,0.9071556688763899,0.9071569428182973,0.907156856225642,0.9071567696329867,0.9071566830403315,0.9071565964476762,0.9071563352056946,0.9071529084296217,0.9071494816535488,0.9071460548774758,0.9071426281014028,0.9071406149157606,0.907139232101164,0.9071378492865676,0.9071364664719711,0.907136092163431,0.9071378771108471,0.9071396620582632,0.9071414439430275,0.9071388415886559,0.9071362392342841,0.9071336368799123,0.9071299811184892,0.9071231155783835,0.9071162500382779,0.9071093844981721,0.9071025189580665,0.9070956534179608,0.9070887878778551,0.9070819223377494,0.9070802699225691,0.9070808676733482,0.907081465424127,0.9070820631749061,0.907082660925685,0.9070838729795364,0.9070861218066069,0.9070883706336772,0.9070906194607476,0.907092868287818,0.907096259319618,0.9071000533657853,0.9071038474119526,0.9071069489936883,0.9071016199254271,0.9070962908571663,0.9070909617889051,0.907085632720644,0.9070803036523829,0.9070749745841219,0.907067987901351,0.9070609804779742,0.9070608949600488,0.9070612422986316,0.9070615896372144,0.9070619369757971,0.9070622843143799,0.9070646010952828,0.907067581017482,0.9070693379124034,0.9070710170908993,0.9070726962693951,0.907074375447891,0.907076054626387,0.9070774986040914,0.9070777437489184,0.9070798253331483,0.9070825602152975,0.9070852950974466,0.9070880299795957,0.9070907648617449,0.907093499743894,0.9070962346260432,0.9070989695081924,0.9070989999114638,0.9070993396712754,0.9071002021210153,0.9071010645707551,0.9071019270204949,0.9071027894702346,0.9071036519199744,0.9071045143697143,0.9071053768194541,0.9071062392691938,0.9071071017189336,0.9071079641686735,0.9071049633805484,0.9071034065782531,0.9071018743317628,0.9071003420852726,0.9070988098387824,0.9070972775922921,0.907095745345802,0.9070944323968776,0.9070931281368828,0.9070917868465437,0.9070904455562045,0.9070891042658653,0.9070877629755261,0.9070864216851869,0.9070812581580424,0.907074064746494,0.9070668713349457,0.9070587389540802,0.9070500565122802,0.9070413740704804,0.9070326916286804,0.9070240091868804,0.9070197285197996,0.9070163434183237,0.9070129583168478,0.9070192948743896,0.9070257457766081,0.9070321966788266,0.907038647581045,0.9070450984832634,0.9070515493854818,0.9070580002877002,0.9070600088947841,0.9070606973539537,0.9070613858131231,0.9070531660899477,0.9070449238079801,0.9070366815260125,0.9070284392440449,0.9070201969620774,0.9070160384726338,0.9070136465889289,0.9070143238312217,0.9070182191045615,0.9070221143779011,0.9070260096512408,0.9070299049245805,0.9070338001979201,0.9070376954712598,0.9070415907445996,0.9070454860179392,0.9070493812912789,0.9070497726487149,0.9070493264626011,0.9070492592887139,0.9070497629923154,0.9070502666959168,0.9070507703995181,0.9070512741031196,0.9070517778067209,0.9070522815103222,0.9070350217488427,0.9070157457405584,0.9069964697322742,0.9069773105104735,0.9069755210537578,0.906973731597042,0.9069719421403263,0.9069701526836105,0.9069627661141069,0.9069551304579686,0.9069432343709425,0.9069250571179144,0.906906879864886,0.9068890872749307,0.9068828563563369,0.9068771734510093,0.9068714905456814,0.9068658076403535,0.9068601247350256,0.9068544418296978,0.9068487589243699,0.9068430760190421,0.9068372145954221,0.9068310141434921,0.906824813691562,0.9068197209391358,0.9068149630315219,0.906810205123908,0.9068054472162941,0.9068006893086802,0.9067966382628858,0.9067938211607112,0.9067910040585365,0.9067614830891673,0.9067187760552282,0.9066760690212894,0.9066617272446764,0.9066586504636653,0.9066518589573225,0.9066439958692286,0.9066361327811348,0.906628269693041,0.9066204066049471,0.9066125435168533,0.9066046804287594,0.9065968173406656,0.9065735632277028,0.9065450264916768,0.9065304885639817,0.9065239639186331,0.9065174392732845,0.9065109146279358,0.9065043899825873,0.9065028988869498,0.9065027601762679,0.906502621465586,0.9065024827549042,0.9065023440442224,0.9065015133945451,0.9064930266991729,0.9064842285346537,0.9064750282882728,0.9064658280418919,0.9064566277955111,0.9064474275491303,0.9064369785049665,0.9064263415799361,0.9064157046549057,0.9064065626831496,0.9063990978355587,0.9063930357924649,0.9063884654587451,0.9063838951250252,0.9063793399341433,0.9063788310521856,0.9063783221702282,0.9063778132882705,0.9063773044063128,0.9063767955243552,0.9063784310796617,0.906380704461845,0.9063829778440287,0.9063852512262122,0.9063875246083957,0.9063873684305617,0.9063862012902095,0.9063850341498573,0.906383867009505,0.9063783373727767,0.9063694171722607,0.906358606289643,0.9063477954070253,0.9063369845244076,0.9063261736417898,0.9063153627591722,0.9063045518765545,0.9062944617216272,0.9062886247240921,0.9062827877265569,0.9062769507290218,0.9062746161527473,0.9062734288971193,0.9062722416414912,0.9062683234358511,0.906258062876198,0.906247802316545,0.9062430298823034,0.9062411905159238,0.906236727983609,0.90623378910534,0.9062349548655372,0.9062338330504054,0.9062319936840257,0.9062301543176461,0.9062283149512665,0.9062127594676297,0.9061962916762643,0.9061798238848988,0.9061655507170442,0.9061615780800549,0.9061547100332192,0.9061473156079103,0.9061401675864124,0.9061395614280487,0.906138955269685,0.9061387710084936,0.9061390494042421,0.9061393277999905,0.9061391522348309,0.9061385906844729,0.9061380291341149,0.9061370600197672,0.9061306725869547,0.906126183215435,0.9061216938439152,0.9061172044723955,0.9061127151008759,0.906108225729356,0.9061037363578364,0.9060992469863166,0.9060953397762153,0.9060956359482362,0.9060961079206058,0.9060965798929755,0.9060970518653453,0.9060975238377149,0.9060979958100845,0.9060984677824542,0.9060989397548238,0.9060994117271935,0.9060998836995633,0.9061003556719329,0.9061008276443026,0.9061012996166722,0.9061017775649598,0.9061023243742294,0.9061028711834991,0.9061034179927687,0.9061039648020384,0.9061035529002157,0.9061003244343819,0.9060970959685484,0.9060938675027146,0.9060906390368808,0.906087410571047,0.9060841821052134,0.906079245028612,0.9060737944390176,0.9060683438494233,0.9060635216709502,0.9060590474655709,0.9060545732601917,0.9060500990548124,0.9060456248494332,0.906041150644054,0.9060372233617575,0.9060352472589273,0.906033271156097,0.9060292966861943,0.9060123917609055,0.9059954868356169,0.9059852307335772,0.9059773047989301,0.9059693788642831,0.9059607161972925,0.9059490782104425,0.9059374402235925,0.9059258022367425,0.9059092793552683,0.9058913606820282,0.905876346965629,0.9058624756923522,0.905856313381916,0.9058506372658164,0.9058449611497168,0.9058392850336172,0.9058336089175176,0.905827932801418,0.9058226096045976,0.9058180491133625,0.905812701322296,0.9058008081497724,0.9057889149772487,0.905777021804725,0.9057651286322013,0.9057554665776094,0.9057473573989869,0.9057392482203643,0.9057371487870793,0.905738242625874,0.9057393364646686,0.9057411003264769,0.9057444473543342,0.9057485475601248,0.9057526477659151,0.9057567479717057,0.9057608481774961,0.9057649483832866,0.9057710948512945,0.9057770384285685,0.905782825629477,0.9057886128303856,0.9057915116986417,0.9057891823284252,0.9057868529582085,0.9057845242301165,0.905782196936004,0.9057792825059761,0.9057729828156096,0.9057666831252429,0.9057569587939507,0.9057409738391722,0.9057284321106127,0.9057158903820532,0.905703530887781,0.905691184702264,0.9056788385167467,0.9056670183803677,0.9056555562442539,0.9056446916110763,0.9056460629341423,0.9056474342572084,0.9056488055802744,0.9056501769033405,0.9056503019482717,0.9056493176515964,0.9056419748058936,0.9056334133037316,0.9056302897981912,0.9056223831144385,0.9056141305392686,0.9056051823461094,0.9055699364512735,0.9055236313738563,0.9054773262964393,0.9054310212190222,0.9053847161416051,0.9053654110837528,0.9053592835692541,0.9053536099439532,0.9053473214692191,0.9053371541939583,0.9053263857948959,0.9053128434276316,0.9052993010603674,0.9052857586931032,0.9052722163258391,0.905261584589212,0.9052510947549641,0.905240604920716,0.9052278713823712,0.9052130824565758,0.9051982935307805,0.9051835046049852,0.9051687156791899,0.9051539267533946,0.9051429361942711,0.9051345959824396,0.9051275175557785,0.9051157200392321,0.9051039225226858,0.9050921250061394,0.9050803274895931,0.9050678144171483,0.9050558879864987,0.905055384409514,0.905035778662844,0.905008599624706,0.9049804614730999,0.9049679360794431,0.9049655705305513,0.9049524451981711,0.9049241635970819,0.9048964636129319,0.9048911785449884,0.9048911965580263,0.9048596796625163,0.9048298689058349,0.9048039373297441,0.9047907781077436,0.9047756300694161,0.9047356824324058,0.904707482718766,0.9047053574408292,0.9047087678998278,0.9047140368526413,0.9047106584391214,0.9046998864250566,0.9046890599938586,0.9046789246569042,0.9046778629871832,0.9046760065139454,0.904673650490037,0.9046740589881161,0.904660432222189,0.9046392459420096,0.9046145948790183,0.9045807870986537,0.9045511489402431,0.9045455001164668,0.904547744178698,0.9045382230099168,0.9045383192762393,0.9045367269976268,0.9045276009081196,0.90451266274558,0.9044977245830403,0.904454756033805,0.9043962998245303,0.9043741260950022,0.9043491154862432,0.9043363090734113,0.9043277097074314,0.9043166807323323,0.9042611471299602,0.9042331582301599,0.9042284146664876,0.9042227421861243,0.9041956101788289,0.9041742177032324,0.9041564594163516,0.9041377056181759,0.9040974091627885,0.9040607922978094,0.9040264338497084,0.904013716116425,0.9039814767046733,0.9039492508686642,0.9039371602236048,0.90393396639509,0.9039155650938422,0.903897122755259,0.9038620793860325,0.9038052357725759,0.9037414916725337,0.903717299814011,0.9037201217599816,0.9037216176817144,0.9037207105027012,0.9037081573130017,0.9036953656401772,0.9036793098778912,0.9036601388022178,0.9036540135437361,0.9036590858752547,0.9036600921306668,0.9036614476219191,0.9036650360830087,0.9036686506419055,0.9036682954501271,0.9036590932889981,0.9036502722459672,0.9036429194238946,0.903635602544335,0.9036275976893264,0.9035872750757808,0.9035669477474786,0.9035546813405988,0.9035337639293077,0.9035080949330793,0.9034659571386346,0.9034319580204957,0.9034036362537314,0.9033868319536611,0.9033831547826596,0.9033794776116579,0.9033809704317156,0.9033667925390354,0.9033138861550438,0.9032738467542949,0.9032711738572656,0.9032509993214046,0.9032032951933614,0.9031908709222796,0.9031777403292633,0.9031656076565894,0.9031560611930628,0.9031534432197612,0.9031522191570958,0.9031529555051101,0.9031556794473635,0.9031568810931883,0.9031510012171982,0.903142045918077,0.9031472154869691,0.9031522185844126,0.9031546374193702,0.9031565155438716,0.9031534942312578,0.9031481560378278,0.9031224225675754,0.9031041258780771,0.9030941957656095,0.9030871699290284,0.9030838915239322,0.9030807891334003,0.9030724765149108,0.9030540373956158,0.9030155245306133,0.902995455561973,0.9029720466822113,0.9029486495548014,0.9029221479191705,0.9029108899499029,0.9029032491241404,0.902899489484891,0.9028955983108637,0.9028802640697531,0.9028582668320528,0.9028268231582428,0.9027975755528065,0.9027793431019546,0.9027696416932443,0.9027562490543493,0.9027398049162884,0.9027060852388356,0.9026750380151486,0.9026503500408611,0.9026321899229732,0.9026232355302214,0.902612937564186,0.9026030859743588,0.9025858104568254,0.9025665614382992,0.9025484849909704,0.9025287836433751,0.9025079033406844,0.9024824001931746,0.9024557214723969,0.9024267935421004,0.9024049415082988,0.9023848717823639,0.9023485888063305,0.9023464228325908,0.9023230482596776,0.9022915739305668,0.9022755131162687,0.9022414119942542,0.9021851028337504,0.9021169573584666,0.9020631875580247,0.9020310074579885,0.9019967810034311,0.9019417093491447,0.9019083303145543,0.9019054911065418,0.9018940598111214,0.9018625850137529,0.9018241108563445,0.9017889136094113,0.901753716362478,0.901719727593576,0.9016867663710655,0.9016097968032134,0.9015152674010467,0.9014432724311998,0.901418803613023,0.9013924299722456,0.9013378676302177,0.9012650396970379,0.9011881355184328,0.9011234984506001,0.9011082451811432,0.9010841132614833,0.9010435541534583,0.9009950035368854,0.9009492910551561,0.9009003873577198,0.9008686834929271,0.9008356727042361,0.9007953274472441,0.9007058679773393,0.900619279982364,0.9005558225362875,0.9005076066446434,0.900455290877676,0.9004114983227312,0.9003874007568116,0.9003637756074742,0.9003284654939356,0.9003091589284387,0.9002954931547382,0.9002860207412913,0.9002650297144017,0.9002074944602168,0.9001407743024986,0.9000958015905736,0.9000838449993736,0.8999886466588924,0.8999272142296973,0.8998739235406721,0.899799683877426,0.8997394943600716,0.8996125391685532,0.8994837778564357,0.8993911256086959,0.8993409534581155,0.8992953426822092,0.8992426749974157,0.8991841429624612,0.899160268225841,0.8991365305991703,0.8990404775049585,0.8988784513262191,0.8987420505627884,0.8986336363336842,0.8985497814432027,0.8984500735274361,0.8983144914373202,0.8982032551131622,0.8981407611741645,0.8980542814693006,0.8979436558675145,0.8977628770219186,0.897636489295336,0.8975161549838209,0.89743562892269,0.8973205651489824,0.8972769960828777,0.8970534508019727,0.8971343181761817,0.8971090589054089,0.8970853537573137,0.8971248368704713,0.8970887941316519,0.8970942484125801,0.8970814119459387,0.8971323452037485,0.8970730307952178,0.8970573846097356,0.8970736809576161,0.8969919591236062,0.8970055618496062,0.8970359731441191,0.8969573159411155,0.8968428349763908,0.8966958050237475,0.8966058447478118,0.8965652331129392,0.8964829880395802,0.8964331323423702,0.8962390526140835,0.8959536164209823,0.8957228932338392,0.8952491619497325,0.8949127144030329,0.8946475942382737,0.8941804073464303,0.8934145957114701,0.8926138683278536,0.8919566925548346,0.8914472838225891,0.8907599189168547,0.8898047018170396,0.8889019330640121,0.8878696740441985,0.8869838744357152,0.8858652183136337,0.884857051466448,0.8839198649546454,0.8826454753284148,0.8813305347457218,0.879743304030068,0.8785151780935808,0.8775707244548858,0.8773726976630862,0.8774189601605964,0.877338690159792,0.8733565302082538,0.8733246963755925,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},{\\\"fill\\\":\\\"tonexty\\\",\\\"fillcolor\\\":\\\"rgba(125, 0, 255, 0.2)\\\",\\\"hoverinfo\\\":\\\"skip\\\",\\\"line\\\":{\\\"color\\\":\\\"rgba(125, 0, 255, 1)\\\",\\\"width\\\":0.0},\\\"name\\\":\\\"Blast\\\",\\\"showlegend\\\":false,\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.5,0.5001,0.5002,0.5003,0.5004,0.5005,0.5006,0.5007,0.5008,0.5009,0.501,0.5011,0.5012,0.5013,0.5014,0.5015,0.5016,0.5017,0.5018,0.5019,0.502,0.5021,0.5022,0.5023,0.5024,0.5025,0.5026,0.5027,0.5028,0.5029,0.503,0.5031,0.5032,0.5033,0.5034,0.5035,0.5036,0.5037,0.5038,0.5039,0.504,0.5041,0.5042,0.5043,0.5044,0.5045,0.5046,0.5047,0.5048,0.5049,0.505,0.5051,0.5052,0.5053,0.5054,0.5055,0.5056,0.5057,0.5058,0.5059,0.506,0.5061,0.5062,0.5063,0.5064,0.5065,0.5066,0.5067,0.5068,0.5069,0.507,0.5071,0.5072,0.5073,0.5074,0.5075,0.5076,0.5077,0.5078,0.5079,0.508,0.5081,0.5082,0.5083,0.5084,0.5085,0.5086,0.5087,0.5088,0.5089,0.509,0.5091,0.5092,0.5093,0.5094,0.5095,0.5096,0.5097,0.5098,0.5099,0.51,0.5101,0.5102,0.5103,0.5104,0.5105,0.5106,0.5107,0.5108,0.5109,0.511,0.5111,0.5112,0.5113,0.5114,0.5115,0.5116,0.5117,0.5118,0.5119,0.512,0.5121,0.5122,0.5123,0.5124,0.5125,0.5126,0.5127,0.5128,0.5129,0.513,0.5131,0.5132,0.5133,0.5134,0.5135,0.5136000000000001,0.5137,0.5138,0.5139,0.514,0.5141,0.5142,0.5143,0.5144,0.5145,0.5146,0.5147,0.5148,0.5149,0.515,0.5151,0.5152,0.5153,0.5154,0.5155,0.5156,0.5157,0.5158,0.5159,0.516,0.5161,0.5162,0.5163,0.5164,0.5165,0.5166,0.5167,0.5168,0.5169,0.517,0.5171,0.5172,0.5173,0.5174,0.5175,0.5176,0.5177,0.5178,0.5179,0.518,0.5181,0.5182,0.5183,0.5184,0.5185,0.5186,0.5187,0.5188,0.5189,0.519,0.5191,0.5192,0.5193,0.5194,0.5195,0.5196,0.5197,0.5198,0.5199,0.52,0.5201,0.5202,0.5203,0.5204,0.5205,0.5206,0.5207,0.5208,0.5209,0.521,0.5211,0.5212,0.5213,0.5214,0.5215,0.5216,0.5217,0.5218,0.5219,0.522,0.5221,0.5222,0.5223,0.5224,0.5225,0.5226,0.5227,0.5228,0.5229,0.523,0.5231,0.5232,0.5233,0.5234,0.5235,0.5236,0.5237,0.5238,0.5239,0.524,0.5241,0.5242,0.5243,0.5244,0.5245,0.5246,0.5246999999999999,0.5248,0.5249,0.525,0.5251,0.5252,0.5253,0.5254,0.5255,0.5256,0.5257000000000001,0.5258,0.5259,0.526,0.5261,0.5262,0.5263,0.5264,0.5265,0.5266,0.5267,0.5268,0.5269,0.527,0.5271,0.5272,0.5273,0.5274,0.5275,0.5276,0.5277000000000001,0.5278,0.5279,0.528,0.5281,0.5282,0.5283,0.5284,0.5285,0.5286,0.5287,0.5288,0.5289,0.529,0.5291,0.5292,0.5293,0.5294,0.5295,0.5296,0.5297,0.5298,0.5299,0.53,0.5301,0.5302,0.5303,0.5304,0.5305,0.5306,0.5307,0.5308,0.5309,0.531,0.5311,0.5312,0.5313,0.5314,0.5315,0.5316,0.5317,0.5318,0.5319,0.532,0.5321,0.5322,0.5323,0.5324,0.5325,0.5326,0.5327,0.5328,0.5329,0.533,0.5331,0.5332,0.5333,0.5334,0.5335,0.5336,0.5337,0.5338,0.5339,0.534,0.5341,0.5342,0.5343,0.5344,0.5345,0.5346,0.5347,0.5348,0.5349,0.535,0.5351,0.5352,0.5353,0.5354,0.5355,0.5356,0.5357,0.5358,0.5359,0.536,0.5361,0.5362,0.5363,0.5364,0.5365,0.5366,0.5367,0.5367999999999999,0.5369,0.537,0.5371,0.5372,0.5373,0.5374,0.5375,0.5376,0.5377,0.5378000000000001,0.5379,0.538,0.5381,0.5382,0.5383,0.5384,0.5385,0.5386,0.5387,0.5388,0.5389,0.539,0.5391,0.5392,0.5393,0.5394,0.5395,0.5396,0.5397,0.5398000000000001,0.5399,0.54,0.5401,0.5402,0.5403,0.5404,0.5405,0.5406,0.5407,0.5408,0.5409,0.541,0.5411,0.5412,0.5413,0.5414,0.5415,0.5416,0.5417,0.5418000000000001,0.5419,0.542,0.5421,0.5422,0.5423,0.5424,0.5425,0.5426,0.5427,0.5428,0.5429,0.543,0.5431,0.5432,0.5433,0.5434,0.5435,0.5436,0.5437,0.5438,0.5439,0.544,0.5441,0.5442,0.5443,0.5444,0.5445,0.5446,0.5447,0.5448,0.5449,0.545,0.5451,0.5452,0.5453,0.5454,0.5455,0.5456,0.5457,0.5458,0.5459,0.546,0.5461,0.5462,0.5463,0.5464,0.5465,0.5466,0.5467,0.5468,0.5469,0.547,0.5471,0.5472,0.5473,0.5474,0.5475,0.5476,0.5477,0.5478,0.5479,0.548,0.5481,0.5482,0.5483,0.5484,0.5485,0.5486,0.5487,0.5488,0.5488999999999999,0.549,0.5491,0.5492,0.5493,0.5494,0.5495,0.5496,0.5497,0.5498,0.5499,0.55,0.5501,0.5502,0.5503,0.5504,0.5505,0.5506,0.5507,0.5508,0.5509,0.551,0.5511,0.5512,0.5513,0.5514,0.5515,0.5516,0.5517,0.5518,0.5519000000000001,0.552,0.5521,0.5522,0.5523,0.5524,0.5525,0.5526,0.5527,0.5528,0.5529,0.553,0.5531,0.5532,0.5533,0.5534,0.5535,0.5536,0.5537,0.5538,0.5539000000000001,0.554,0.5541,0.5542,0.5543,0.5544,0.5545,0.5546,0.5547,0.5548,0.5549,0.555,0.5551,0.5552,0.5553,0.5554,0.5555,0.5556,0.5557,0.5558,0.5559000000000001,0.556,0.5561,0.5562,0.5563,0.5564,0.5565,0.5566,0.5567,0.5568,0.5569,0.557,0.5571,0.5572,0.5573,0.5574,0.5575,0.5576,0.5577,0.5578,0.5579,0.558,0.5581,0.5582,0.5583,0.5584,0.5585,0.5586,0.5587,0.5588,0.5589,0.559,0.5591,0.5592,0.5593,0.5594,0.5595,0.5596,0.5597,0.5598,0.5599,0.56,0.5601,0.5602,0.5603,0.5604,0.5605,0.5606,0.5607,0.5608,0.5609,0.561,0.5611,0.5612,0.5613,0.5614,0.5615,0.5616,0.5617,0.5618,0.5619,0.562,0.5621,0.5622,0.5623,0.5624,0.5625,0.5626,0.5627,0.5628,0.5629,0.563,0.5631,0.5632,0.5633,0.5634,0.5635,0.5636,0.5637,0.5638,0.5639,0.5640000000000001,0.5641,0.5642,0.5643,0.5644,0.5645,0.5646,0.5647,0.5648,0.5649,0.565,0.5651,0.5652,0.5653,0.5654,0.5655,0.5656,0.5657,0.5658,0.5659,0.5660000000000001,0.5661,0.5662,0.5663,0.5664,0.5665,0.5666,0.5667,0.5668,0.5669,0.567,0.5671,0.5672,0.5673,0.5674,0.5675,0.5676,0.5677,0.5678,0.5679,0.5680000000000001,0.5681,0.5682,0.5683,0.5684,0.5685,0.5686,0.5687,0.5688,0.5689,0.569,0.5691,0.5692,0.5693,0.5694,0.5695,0.5696,0.5697,0.5698,0.5699,0.5700000000000001,0.5701,0.5702,0.5703,0.5704,0.5705,0.5706,0.5707,0.5708,0.5709,0.571,0.5710999999999999,0.5712,0.5713,0.5714,0.5715,0.5716,0.5717,0.5718,0.5719,0.5720000000000001,0.5721,0.5722,0.5723,0.5724,0.5725,0.5726,0.5727,0.5728,0.5729,0.573,0.5730999999999999,0.5732,0.5733,0.5734,0.5735,0.5736,0.5737,0.5738,0.5739,0.5740000000000001,0.5741,0.5742,0.5743,0.5744,0.5745,0.5746,0.5747,0.5748,0.5749,0.575,0.5751,0.5752,0.5753,0.5754,0.5755,0.5756,0.5757,0.5758,0.5759,0.576,0.5761000000000001,0.5762,0.5763,0.5764,0.5765,0.5766,0.5767,0.5768,0.5769,0.577,0.5771,0.5772,0.5773,0.5774,0.5775,0.5776,0.5777,0.5778,0.5779,0.578,0.5781000000000001,0.5782,0.5783,0.5784,0.5785,0.5786,0.5787,0.5788,0.5789,0.579,0.5791,0.5792,0.5793,0.5794,0.5795,0.5796,0.5797,0.5798,0.5799,0.58,0.5801000000000001,0.5802,0.5803,0.5804,0.5805,0.5806,0.5807,0.5808,0.5809,0.581,0.5811,0.5812,0.5813,0.5814,0.5815,0.5816,0.5817,0.5818,0.5819,0.582,0.5821000000000001,0.5822,0.5823,0.5824,0.5825,0.5826,0.5827,0.5828,0.5829,0.583,0.5831,0.5832,0.5833,0.5834,0.5835,0.5836,0.5837,0.5838,0.5839,0.584,0.5841000000000001,0.5842,0.5843,0.5844,0.5845,0.5846,0.5847,0.5848,0.5849,0.585,0.5851,0.5851999999999999,0.5853,0.5854,0.5855,0.5856,0.5857,0.5858,0.5859,0.586,0.5861000000000001,0.5862,0.5863,0.5864,0.5865,0.5866,0.5867,0.5868,0.5869,0.587,0.5871,0.5871999999999999,0.5873,0.5874,0.5875,0.5876,0.5877,0.5878,0.5879,0.588,0.5881,0.5882000000000001,0.5883,0.5884,0.5885,0.5886,0.5887,0.5888,0.5889,0.589,0.5891,0.5892,0.5893,0.5894,0.5895,0.5896,0.5897,0.5898,0.5899,0.59,0.5901,0.5902000000000001,0.5903,0.5904,0.5905,0.5906,0.5907,0.5908,0.5909,0.591,0.5911,0.5912,0.5913,0.5914,0.5915,0.5916,0.5917,0.5918,0.5919,0.592,0.5921,0.5922000000000001,0.5923,0.5924,0.5925,0.5926,0.5927,0.5928,0.5929,0.593,0.5931,0.5932,0.5933,0.5934,0.5935,0.5936,0.5937,0.5938,0.5939,0.594,0.5941,0.5942000000000001,0.5943,0.5944,0.5945,0.5946,0.5947,0.5948,0.5949,0.595,0.5951,0.5952,0.5953,0.5954,0.5955,0.5956,0.5957,0.5958,0.5959,0.596,0.5961,0.5962000000000001,0.5963,0.5964,0.5965,0.5966,0.5967,0.5968,0.5969,0.597,0.5971,0.5972,0.5973,0.5974,0.5975,0.5976,0.5977,0.5978,0.5979,0.598,0.5981,0.5982000000000001,0.5983,0.5984,0.5985,0.5986,0.5987,0.5988,0.5989,0.599,0.5991,0.5992,0.5992999999999999,0.5994,0.5995,0.5996,0.5997,0.5998,0.5999,0.6,0.6001,0.6002000000000001,0.6003000000000001,0.6004,0.6005,0.6006,0.6007,0.6008,0.6009,0.601,0.6011,0.6012,0.6013,0.6014,0.6015,0.6016,0.6017,0.6018,0.6019,0.602,0.6021,0.6022,0.6023000000000001,0.6024,0.6025,0.6026,0.6027,0.6028,0.6029,0.603,0.6031,0.6032,0.6033,0.6034,0.6035,0.6036,0.6037,0.6038,0.6039,0.604,0.6041,0.6042,0.6043000000000001,0.6044,0.6045,0.6046,0.6047,0.6048,0.6049,0.605,0.6051,0.6052,0.6053,0.6054,0.6055,0.6056,0.6057,0.6058,0.6059,0.606,0.6061,0.6062,0.6063000000000001,0.6064,0.6065,0.6066,0.6067,0.6068,0.6069,0.607,0.6071,0.6072,0.6073,0.6074,0.6075,0.6076,0.6077,0.6078,0.6079,0.608,0.6081,0.6082,0.6083000000000001,0.6084,0.6085,0.6086,0.6087,0.6088,0.6089,0.609,0.6091,0.6092,0.6093,0.6094,0.6095,0.6096,0.6097,0.6098,0.6099,0.61,0.6101,0.6102,0.6103000000000001,0.6104,0.6105,0.6106,0.6107,0.6108,0.6109,0.611,0.6111,0.6112,0.6113,0.6113999999999999,0.6115,0.6116,0.6117,0.6118,0.6119,0.612,0.6121,0.6122,0.6123000000000001,0.6124,0.6125,0.6126,0.6127,0.6128,0.6129,0.613,0.6131,0.6132,0.6133,0.6134,0.6135,0.6136,0.6137,0.6138,0.6139,0.614,0.6141,0.6142,0.6143,0.6144000000000001,0.6145,0.6146,0.6147,0.6148,0.6149,0.615,0.6151,0.6152,0.6153,0.6154,0.6155,0.6156,0.6157,0.6158,0.6159,0.616,0.6161,0.6162,0.6163,0.6164000000000001,0.6165,0.6166,0.6167,0.6168,0.6169,0.617,0.6171,0.6172,0.6173,0.6174,0.6175,0.6176,0.6177,0.6178,0.6179,0.618,0.6181,0.6182,0.6183,0.6184000000000001,0.6185,0.6186,0.6187,0.6188,0.6189,0.619,0.6191,0.6192,0.6193,0.6194,0.6195,0.6196,0.6197,0.6198,0.6199,0.62,0.6201,0.6202,0.6203,0.6204000000000001,0.6205,0.6206,0.6207,0.6208,0.6209,0.621,0.6211,0.6212,0.6213,0.6214,0.6215,0.6216,0.6217,0.6218,0.6219,0.622,0.6221,0.6222,0.6223,0.6224000000000001,0.6225,0.6226,0.6227,0.6228,0.6229,0.623,0.6231,0.6232,0.6233,0.6234,0.6235,0.6236,0.6237,0.6238,0.6239,0.624,0.6241,0.6242,0.6243,0.6244000000000001,0.6245,0.6246,0.6247,0.6248,0.6249,0.625,0.6251,0.6252,0.6253,0.6254,0.6255,0.6256,0.6257,0.6258,0.6259,0.626,0.6261,0.6262,0.6263,0.6264000000000001,0.6265000000000001,0.6266,0.6267,0.6268,0.6269,0.627,0.6271,0.6272,0.6273,0.6274,0.6275,0.6276,0.6277,0.6278,0.6279,0.628,0.6281,0.6282,0.6283,0.6284000000000001,0.6285000000000001,0.6286,0.6287,0.6288,0.6289,0.629,0.6291,0.6292,0.6293,0.6294,0.6295,0.6295999999999999,0.6297,0.6298,0.6299,0.63,0.6301,0.6302,0.6303,0.6304000000000001,0.6305000000000001,0.6306,0.6307,0.6308,0.6309,0.631,0.6311,0.6312,0.6313,0.6314,0.6315,0.6315999999999999,0.6317,0.6318,0.6319,0.632,0.6321,0.6322,0.6323,0.6324000000000001,0.6325000000000001,0.6326,0.6327,0.6328,0.6329,0.633,0.6331,0.6332,0.6333,0.6334,0.6335,0.6335999999999999,0.6337,0.6338,0.6339,0.634,0.6341,0.6342,0.6343,0.6344000000000001,0.6345000000000001,0.6346,0.6347,0.6348,0.6349,0.635,0.6351,0.6352,0.6353,0.6354,0.6355,0.6355999999999999,0.6357,0.6358,0.6359,0.636,0.6361,0.6362,0.6363,0.6364,0.6365000000000001,0.6366,0.6367,0.6368,0.6369,0.637,0.6371,0.6372,0.6373,0.6374,0.6375,0.6376,0.6377,0.6378,0.6379,0.638,0.6381,0.6382,0.6383,0.6384,0.6385000000000001,0.6386000000000001,0.6387,0.6388,0.6389,0.639,0.6391,0.6392,0.6393,0.6394,0.6395,0.6396,0.6397,0.6398,0.6399,0.64,0.6401,0.6402,0.6403,0.6404,0.6405000000000001,0.6406000000000001,0.6407,0.6408,0.6409,0.641,0.6411,0.6412,0.6413,0.6414,0.6415,0.6416,0.6417,0.6418,0.6419,0.642,0.6421,0.6422,0.6423,0.6424,0.6425000000000001,0.6426000000000001,0.6427,0.6428,0.6429,0.643,0.6431,0.6432,0.6433,0.6434,0.6435,0.6436,0.6436999999999999,0.6438,0.6439,0.644,0.6441,0.6442,0.6443,0.6444,0.6445000000000001,0.6446000000000001,0.6447,0.6448,0.6449,0.645,0.6451,0.6452,0.6453,0.6454,0.6455,0.6456,0.6456999999999999,0.6458,0.6459,0.646,0.6461,0.6462,0.6463,0.6464,0.6465000000000001,0.6466000000000001,0.6467,0.6468,0.6469,0.647,0.6471,0.6472,0.6473,0.6474,0.6475,0.6476,0.6476999999999999,0.6478,0.6479,0.648,0.6481,0.6482,0.6483,0.6484,0.6485000000000001,0.6486000000000001,0.6487,0.6488,0.6489,0.649,0.6491,0.6492,0.6493,0.6494,0.6495,0.6496,0.6496999999999999,0.6498,0.6499,0.65,0.6501,0.6502,0.6503,0.6504,0.6505,0.6506000000000001,0.6507000000000001,0.6508,0.6509,0.651,0.6511,0.6512,0.6513,0.6514,0.6515,0.6516,0.6517,0.6518,0.6519,0.652,0.6521,0.6522,0.6523,0.6524,0.6525,0.6526000000000001,0.6527000000000001,0.6528,0.6529,0.653,0.6531,0.6532,0.6533,0.6534,0.6535,0.6536,0.6537,0.6538,0.6539,0.654,0.6541,0.6542,0.6543,0.6544,0.6545,0.6546000000000001,0.6547000000000001,0.6548,0.6549,0.655,0.6551,0.6552,0.6553,0.6554,0.6555,0.6556,0.6557,0.6557999999999999,0.6559,0.656,0.6561,0.6562,0.6563,0.6564,0.6565,0.6566000000000001,0.6567000000000001,0.6568,0.6569,0.657,0.6571,0.6572,0.6573,0.6574,0.6575,0.6576,0.6577,0.6577999999999999,0.6579,0.658,0.6581,0.6582,0.6583,0.6584,0.6585,0.6586000000000001,0.6587000000000001,0.6588,0.6589,0.659,0.6591,0.6592,0.6593,0.6594,0.6595,0.6596,0.6597,0.6597999999999999,0.6599,0.66,0.6601,0.6602,0.6603,0.6604,0.6605,0.6606000000000001,0.6607000000000001,0.6608,0.6609,0.661,0.6611,0.6612,0.6613,0.6614,0.6615,0.6616,0.6617,0.6617999999999999,0.6619,0.662,0.6621,0.6622,0.6623,0.6624,0.6625,0.6626,0.6627000000000001,0.6628000000000001,0.6629,0.663,0.6631,0.6632,0.6633,0.6634,0.6635,0.6636,0.6637,0.6638,0.6639,0.664,0.6641,0.6642,0.6643,0.6644,0.6645,0.6646,0.6647000000000001,0.6648000000000001,0.6649,0.665,0.6651,0.6652,0.6653,0.6654,0.6655,0.6656,0.6657,0.6658,0.6659,0.666,0.6661,0.6662,0.6663,0.6664,0.6665,0.6666,0.6667000000000001,0.6668000000000001,0.6669,0.667,0.6671,0.6672,0.6673,0.6674,0.6675,0.6676,0.6677,0.6678,0.6679,0.668,0.6681,0.6682,0.6683,0.6684,0.6685,0.6686,0.6687000000000001,0.6688000000000001,0.6689,0.669,0.6691,0.6692,0.6693,0.6694,0.6695,0.6696,0.6697,0.6698,0.6698999999999999,0.67,0.6701,0.6702,0.6703,0.6704,0.6705,0.6706,0.6707000000000001,0.6708000000000001,0.6709,0.671,0.6711,0.6712,0.6713,0.6714,0.6715,0.6716,0.6717,0.6718,0.6718999999999999,0.672,0.6721,0.6722,0.6723,0.6724,0.6725,0.6726,0.6727000000000001,0.6728000000000001,0.6729,0.673,0.6731,0.6732,0.6733,0.6734,0.6735,0.6736,0.6737,0.6738,0.6738999999999999,0.674,0.6741,0.6742,0.6743,0.6744,0.6745,0.6746,0.6747000000000001,0.6748000000000001,0.6749,0.675,0.6751,0.6752,0.6753,0.6754,0.6755,0.6756,0.6757,0.6758,0.6759,0.676,0.6761,0.6762,0.6763,0.6764,0.6765,0.6766,0.6767,0.6768000000000001,0.6769000000000001,0.677,0.6771,0.6772,0.6773,0.6774,0.6775,0.6776,0.6777,0.6778,0.6779,0.678,0.6781,0.6782,0.6783,0.6784,0.6785,0.6786,0.6787,0.6788000000000001,0.6789000000000001,0.679,0.6791,0.6792,0.6793,0.6794,0.6795,0.6796,0.6797,0.6798,0.6799,0.68,0.6801,0.6802,0.6803,0.6804,0.6805,0.6806,0.6807,0.6808000000000001,0.6809000000000001,0.681,0.6811,0.6812,0.6813,0.6814,0.6815,0.6816,0.6817,0.6818,0.6819,0.6819999999999999,0.6821,0.6822,0.6823,0.6824,0.6825,0.6826,0.6827,0.6828000000000001,0.6829000000000001,0.683,0.6831,0.6832,0.6833,0.6834,0.6835,0.6836,0.6837,0.6838,0.6839,0.6839999999999999,0.6841,0.6842,0.6843,0.6844,0.6845,0.6846,0.6847,0.6848000000000001,0.6849000000000001,0.685,0.6851,0.6852,0.6853,0.6854,0.6855,0.6856,0.6857,0.6858,0.6859,0.6859999999999999,0.6861,0.6862,0.6863,0.6864,0.6865,0.6866,0.6867,0.6868000000000001,0.6869000000000001,0.687,0.6871,0.6872,0.6873,0.6874,0.6875,0.6876,0.6877,0.6878,0.6879,0.688,0.6881,0.6882,0.6883,0.6884,0.6885,0.6886,0.6887,0.6888,0.6889000000000001,0.6890000000000001,0.6891,0.6892,0.6893,0.6894,0.6895,0.6896,0.6897,0.6898,0.6899,0.69,0.6901,0.6902,0.6903,0.6904,0.6905,0.6906,0.6907,0.6908,0.6909000000000001,0.6910000000000001,0.6911,0.6912,0.6913,0.6914,0.6915,0.6916,0.6917,0.6918,0.6919,0.692,0.6921,0.6922,0.6923,0.6924,0.6925,0.6926,0.6927,0.6928,0.6929000000000001,0.6930000000000001,0.6931,0.6932,0.6933,0.6934,0.6935,0.6936,0.6937,0.6938,0.6939,0.694,0.6941,0.6942,0.6943,0.6944,0.6945,0.6946,0.6947,0.6948,0.6949000000000001,0.6950000000000001,0.6951,0.6952,0.6953,0.6954,0.6955,0.6956,0.6957,0.6958,0.6959,0.696,0.6960999999999999,0.6962,0.6963,0.6964,0.6965,0.6966,0.6967,0.6968,0.6969000000000001,0.6970000000000001,0.6971,0.6972,0.6973,0.6974,0.6975,0.6976,0.6977,0.6978,0.6979,0.698,0.6980999999999999,0.6982,0.6983,0.6984,0.6985,0.6986,0.6987,0.6988,0.6989000000000001,0.6990000000000001,0.6991,0.6992,0.6993,0.6994,0.6995,0.6996,0.6997,0.6998,0.6999,0.7,0.7001,0.7002,0.7003,0.7004,0.7005,0.7006,0.7007,0.7008,0.7009000000000001,0.7010000000000001,0.7011000000000001,0.7012,0.7013,0.7014,0.7015,0.7016,0.7017,0.7018,0.7019,0.702,0.7021,0.7022,0.7023,0.7024,0.7025,0.7026,0.7027,0.7028,0.7029,0.7030000000000001,0.7031000000000001,0.7032,0.7033,0.7034,0.7035,0.7036,0.7037,0.7038,0.7039,0.704,0.7041,0.7042,0.7043,0.7044,0.7045,0.7046,0.7047,0.7048,0.7049,0.7050000000000001,0.7051000000000001,0.7052,0.7053,0.7054,0.7055,0.7056,0.7057,0.7058,0.7059,0.706,0.7061,0.7062,0.7063,0.7064,0.7065,0.7066,0.7067,0.7068,0.7069,0.7070000000000001,0.7071000000000001,0.7072,0.7073,0.7074,0.7075,0.7076,0.7077,0.7078,0.7079,0.708,0.7081,0.7081999999999999,0.7083,0.7084,0.7085,0.7086,0.7087,0.7088,0.7089,0.7090000000000001,0.7091000000000001,0.7092,0.7093,0.7094,0.7095,0.7096,0.7097,0.7098,0.7099,0.71,0.7101,0.7101999999999999,0.7103,0.7104,0.7105,0.7106,0.7107,0.7108,0.7109,0.7110000000000001,0.7111000000000001,0.7112,0.7113,0.7114,0.7115,0.7116,0.7117,0.7118,0.7119,0.712,0.7121,0.7121999999999999,0.7123,0.7124,0.7125,0.7126,0.7127,0.7128,0.7129,0.7130000000000001,0.7131000000000001,0.7132000000000001,0.7133,0.7134,0.7135,0.7136,0.7137,0.7138,0.7139,0.714,0.7141,0.7142,0.7143,0.7144,0.7145,0.7146,0.7147,0.7148,0.7149,0.715,0.7151000000000001,0.7152000000000001,0.7153,0.7154,0.7155,0.7156,0.7157,0.7158,0.7159,0.716,0.7161,0.7162,0.7163,0.7164,0.7165,0.7166,0.7167,0.7168,0.7169,0.717,0.7171000000000001,0.7172000000000001,0.7173,0.7174,0.7175,0.7176,0.7177,0.7178,0.7179,0.718,0.7181,0.7182,0.7183,0.7184,0.7185,0.7186,0.7187,0.7188,0.7189,0.719,0.7191000000000001,0.7192000000000001,0.7193,0.7194,0.7195,0.7196,0.7197,0.7198,0.7199,0.72,0.7201,0.7202,0.7203,0.7204,0.7205,0.7206,0.7207,0.7208,0.7209,0.721,0.7211000000000001,0.7212000000000001,0.7213,0.7214,0.7215,0.7216,0.7217,0.7218,0.7219,0.722,0.7221,0.7222,0.7222999999999999,0.7224,0.7225,0.7226,0.7227,0.7228,0.7229,0.723,0.7231000000000001,0.7232000000000001,0.7233,0.7234,0.7235,0.7236,0.7237,0.7238,0.7239,0.724,0.7241,0.7242,0.7242999999999999,0.7244,0.7245,0.7246,0.7247,0.7248,0.7249,0.725,0.7251000000000001,0.7252000000000001,0.7253000000000001,0.7254,0.7255,0.7256,0.7257,0.7258,0.7259,0.726,0.7261,0.7262,0.7263,0.7264,0.7265,0.7266,0.7267,0.7268,0.7269,0.727,0.7271000000000001,0.7272000000000001,0.7273000000000001,0.7274,0.7275,0.7276,0.7277,0.7278,0.7279,0.728,0.7281,0.7282,0.7283,0.7284,0.7285,0.7286,0.7287,0.7288,0.7289,0.729,0.7291,0.7292000000000001,0.7293000000000001,0.7294,0.7295,0.7296,0.7297,0.7298,0.7299,0.73,0.7301,0.7302,0.7303,0.7304,0.7305,0.7306,0.7307,0.7308,0.7309,0.731,0.7311,0.7312000000000001,0.7313000000000001,0.7314,0.7315,0.7316,0.7317,0.7318,0.7319,0.732,0.7321,0.7322,0.7323,0.7324,0.7325,0.7326,0.7327,0.7328,0.7329,0.733,0.7331,0.7332000000000001,0.7333000000000001,0.7334,0.7335,0.7336,0.7337,0.7338,0.7339,0.734,0.7341,0.7342,0.7343,0.7344,0.7345,0.7346,0.7347,0.7348,0.7349,0.735,0.7351,0.7352000000000001,0.7353000000000001,0.7354,0.7355,0.7356,0.7357,0.7358,0.7359,0.736,0.7361,0.7362,0.7363,0.7363999999999999,0.7365,0.7366,0.7367,0.7368,0.7369,0.737,0.7371,0.7372000000000001,0.7373000000000001,0.7374,0.7375,0.7376,0.7377,0.7378,0.7379,0.738,0.7381,0.7382,0.7383,0.7384,0.7385,0.7386,0.7387,0.7388,0.7389,0.739,0.7391,0.7392000000000001,0.7393000000000001,0.7394000000000001,0.7395,0.7396,0.7397,0.7398,0.7399,0.74,0.7401,0.7402,0.7403,0.7404,0.7405,0.7406,0.7407,0.7408,0.7409,0.741,0.7411,0.7412,0.7413000000000001,0.7414000000000001,0.7415,0.7416,0.7417,0.7418,0.7419,0.742,0.7421,0.7422,0.7423,0.7424,0.7425,0.7426,0.7427,0.7428,0.7429,0.743,0.7431,0.7432,0.7433000000000001,0.7434000000000001,0.7435,0.7436,0.7437,0.7438,0.7439,0.744,0.7441,0.7442,0.7443,0.7444,0.7445,0.7446,0.7447,0.7448,0.7449,0.745,0.7451,0.7452,0.7453000000000001,0.7454000000000001,0.7455,0.7456,0.7457,0.7458,0.7459,0.746,0.7461,0.7462,0.7463,0.7464,0.7465,0.7466,0.7467,0.7468,0.7469,0.747,0.7471,0.7472,0.7473000000000001,0.7474000000000001,0.7475,0.7476,0.7477,0.7478,0.7479,0.748,0.7481,0.7482,0.7483,0.7484,0.7484999999999999,0.7486,0.7487,0.7488,0.7489,0.749,0.7491,0.7492,0.7493000000000001,0.7494000000000001,0.7495,0.7496,0.7497,0.7498,0.7499,0.75,0.7501,0.7502,0.7503,0.7504,0.7505,0.7505999999999999,0.7507,0.7508,0.7509,0.751,0.7511,0.7512000000000001,0.7513000000000001,0.7514000000000001,0.7515000000000001,0.7516,0.7517,0.7518,0.7519,0.752,0.7521,0.7522,0.7523,0.7524,0.7525,0.7525999999999999,0.7527,0.7528,0.7529,0.753,0.7531,0.7532000000000001,0.7533000000000001,0.7534000000000001,0.7535000000000001,0.7536,0.7537,0.7538,0.7539,0.754,0.7541,0.7542,0.7543,0.7544,0.7545,0.7545999999999999,0.7547,0.7548,0.7549,0.755,0.7551,0.7552000000000001,0.7553000000000001,0.7554000000000001,0.7555000000000001,0.7556,0.7557,0.7558,0.7559,0.756,0.7561,0.7562,0.7563,0.7564,0.7565,0.7565999999999999,0.7567,0.7568,0.7569,0.757,0.7571,0.7572000000000001,0.7573000000000001,0.7574000000000001,0.7575000000000001,0.7576,0.7577,0.7578,0.7579,0.758,0.7581,0.7582,0.7583,0.7584,0.7585,0.7585999999999999,0.7586999999999999,0.7588,0.7589,0.759,0.7591,0.7592,0.7593000000000001,0.7594000000000001,0.7595000000000001,0.7596,0.7597,0.7598,0.7599,0.76,0.7601,0.7602,0.7603,0.7604,0.7605,0.7605999999999999,0.7606999999999999,0.7608,0.7609,0.761,0.7611,0.7612,0.7613000000000001,0.7614000000000001,0.7615000000000001,0.7616,0.7617,0.7618,0.7619,0.762,0.7621,0.7622,0.7623,0.7624,0.7625,0.7626,0.7626999999999999,0.7628,0.7629,0.763,0.7631,0.7632,0.7633000000000001,0.7634000000000001,0.7635000000000001,0.7636000000000001,0.7637,0.7638,0.7639,0.764,0.7641,0.7642,0.7643,0.7644,0.7645,0.7646,0.7646999999999999,0.7648,0.7649,0.765,0.7651,0.7652,0.7653000000000001,0.7654000000000001,0.7655000000000001,0.7656000000000001,0.7657,0.7658,0.7659,0.766,0.7661,0.7662,0.7663,0.7664,0.7665,0.7666,0.7666999999999999,0.7668,0.7669,0.767,0.7671,0.7672,0.7673000000000001,0.7674000000000001,0.7675000000000001,0.7676000000000001,0.7677,0.7678,0.7679,0.768,0.7681,0.7682,0.7683,0.7684,0.7685,0.7686,0.7686999999999999,0.7688,0.7689,0.769,0.7691,0.7692,0.7693000000000001,0.7694000000000001,0.7695000000000001,0.7696000000000001,0.7697,0.7698,0.7699,0.77,0.7701,0.7702,0.7703,0.7704,0.7705,0.7706,0.7706999999999999,0.7708,0.7709,0.771,0.7711,0.7712,0.7713,0.7714000000000001,0.7715000000000001,0.7716000000000001,0.7717,0.7718,0.7719,0.772,0.7721,0.7722,0.7723,0.7724,0.7725,0.7726,0.7726999999999999,0.7727999999999999,0.7729,0.773,0.7731,0.7732,0.7733,0.7734000000000001,0.7735000000000001,0.7736000000000001,0.7737,0.7738,0.7739,0.774,0.7741,0.7742,0.7743,0.7744,0.7745,0.7746,0.7746999999999999,0.7747999999999999,0.7749,0.775,0.7751,0.7752,0.7753,0.7754000000000001,0.7755000000000001,0.7756000000000001,0.7757000000000001,0.7758,0.7759,0.776,0.7761,0.7762,0.7763,0.7764,0.7765,0.7766,0.7767,0.7767999999999999,0.7769,0.777,0.7771,0.7772,0.7773,0.7774000000000001,0.7775000000000001,0.7776000000000001,0.7777000000000001,0.7778,0.7779,0.778,0.7781,0.7782,0.7783,0.7784,0.7785,0.7786,0.7787,0.7787999999999999,0.7789,0.779,0.7791,0.7792,0.7793,0.7794000000000001,0.7795000000000001,0.7796000000000001,0.7797000000000001,0.7798,0.7799,0.78,0.7801,0.7802,0.7803,0.7804,0.7805,0.7806,0.7807,0.7807999999999999,0.7809,0.781,0.7811,0.7812,0.7813,0.7814000000000001,0.7815000000000001,0.7816000000000001,0.7817000000000001,0.7818,0.7819,0.782,0.7821,0.7822,0.7823,0.7824,0.7825,0.7826,0.7827,0.7827999999999999,0.7829,0.783,0.7831,0.7832,0.7833,0.7834000000000001,0.7835000000000001,0.7836000000000001,0.7837000000000001,0.7838,0.7839,0.784,0.7841,0.7842,0.7843,0.7844,0.7845,0.7846,0.7847,0.7847999999999999,0.7848999999999999,0.785,0.7851,0.7852,0.7853,0.7854,0.7855000000000001,0.7856000000000001,0.7857000000000001,0.7858,0.7859,0.786,0.7861,0.7862,0.7863,0.7864,0.7865,0.7866,0.7867,0.7867999999999999,0.7868999999999999,0.787,0.7871,0.7872,0.7873,0.7874,0.7875000000000001,0.7876000000000001,0.7877000000000001,0.7878000000000001,0.7879,0.788,0.7881,0.7882,0.7883,0.7884,0.7885,0.7886,0.7887,0.7888,0.7888999999999999,0.789,0.7891,0.7892,0.7893,0.7894,0.7895000000000001,0.7896000000000001,0.7897000000000001,0.7898000000000001,0.7899,0.79,0.7901,0.7902,0.7903,0.7904,0.7905,0.7906,0.7907,0.7908,0.7908999999999999,0.791,0.7911,0.7912,0.7913,0.7914,0.7915000000000001,0.7916000000000001,0.7917000000000001,0.7918000000000001,0.7919,0.792,0.7921,0.7922,0.7923,0.7924,0.7925,0.7926,0.7927,0.7928,0.7928999999999999,0.793,0.7931,0.7932,0.7933,0.7934,0.7935000000000001,0.7936000000000001,0.7937000000000001,0.7938000000000001,0.7939,0.794,0.7941,0.7942,0.7943,0.7944,0.7945,0.7946,0.7947,0.7948,0.7948999999999999,0.795,0.7951,0.7952,0.7953,0.7954,0.7955000000000001,0.7956000000000001,0.7957000000000001,0.7958000000000001,0.7959,0.796,0.7961,0.7962,0.7963,0.7964,0.7965,0.7966,0.7967,0.7968,0.7968999999999999,0.797,0.7971,0.7972,0.7973,0.7974,0.7975,0.7976000000000001,0.7977000000000001,0.7978000000000001,0.7979,0.798,0.7981,0.7982,0.7983,0.7984,0.7985,0.7986,0.7987,0.7988,0.7988999999999999,0.7989999999999999,0.7991,0.7992,0.7993,0.7994,0.7995,0.7996000000000001,0.7997000000000001,0.7998000000000001,0.7999,0.8,0.8001,0.8002,0.8003,0.8004,0.8005,0.8006,0.8007,0.8008,0.8009,0.8009999999999999,0.8011,0.8012,0.8013,0.8014,0.8015,0.8016000000000001,0.8017000000000001,0.8018000000000001,0.8019000000000001,0.802,0.8021,0.8022,0.8023,0.8024,0.8025,0.8026,0.8027,0.8028,0.8029,0.8029999999999999,0.8031,0.8032,0.8033,0.8034,0.8035,0.8036000000000001,0.8037000000000001,0.8038000000000001,0.8039000000000001,0.804,0.8041,0.8042,0.8043,0.8044,0.8045,0.8046,0.8047,0.8048,0.8049,0.8049999999999999,0.8051,0.8052,0.8053,0.8054,0.8055,0.8056000000000001,0.8057000000000001,0.8058000000000001,0.8059000000000001,0.806,0.8061,0.8062,0.8063,0.8064,0.8065,0.8066,0.8067,0.8068,0.8069,0.8069999999999999,0.8071,0.8072,0.8073,0.8074,0.8075,0.8076000000000001,0.8077000000000001,0.8078000000000001,0.8079000000000001,0.808,0.8081,0.8082,0.8083,0.8084,0.8085,0.8086,0.8087,0.8088,0.8089,0.8089999999999999,0.8091,0.8092,0.8093,0.8094,0.8095,0.8096000000000001,0.8097000000000001,0.8098000000000001,0.8099000000000001,0.81,0.8101,0.8102,0.8103,0.8104,0.8105,0.8106,0.8107,0.8108,0.8109,0.8109999999999999,0.8110999999999999,0.8112,0.8113,0.8114,0.8115,0.8116,0.8117000000000001,0.8118000000000001,0.8119000000000001,0.812,0.8121,0.8122,0.8123,0.8124,0.8125,0.8126,0.8127,0.8128,0.8129,0.813,0.8130999999999999,0.8132,0.8133,0.8134,0.8135,0.8136,0.8137000000000001,0.8138000000000001,0.8139000000000001,0.8140000000000001,0.8141,0.8142,0.8143,0.8144,0.8145,0.8146,0.8147,0.8148,0.8149,0.815,0.8150999999999999,0.8152,0.8153,0.8154,0.8155,0.8156,0.8157000000000001,0.8158000000000001,0.8159000000000001,0.8160000000000001,0.8161,0.8162,0.8163,0.8164,0.8165,0.8166,0.8167,0.8168,0.8169,0.817,0.8170999999999999,0.8172,0.8173,0.8174,0.8175,0.8176,0.8177000000000001,0.8178000000000001,0.8179000000000001,0.8180000000000001,0.8181,0.8182,0.8183,0.8184,0.8185,0.8186,0.8187,0.8188,0.8189,0.819,0.8190999999999999,0.8192,0.8193,0.8194,0.8195,0.8196,0.8197000000000001,0.8198000000000001,0.8199000000000001,0.8200000000000001,0.8201,0.8202,0.8203,0.8204,0.8205,0.8206,0.8207,0.8208,0.8209,0.821,0.8210999999999999,0.8212,0.8213,0.8214,0.8215,0.8216,0.8217000000000001,0.8218000000000001,0.8219000000000001,0.8220000000000001,0.8221,0.8222,0.8223,0.8224,0.8225,0.8226,0.8227,0.8228,0.8229,0.823,0.8230999999999999,0.8232,0.8233,0.8234,0.8235,0.8236,0.8237000000000001,0.8238000000000001,0.8239000000000001,0.8240000000000001,0.8241,0.8242,0.8243,0.8244,0.8245,0.8246,0.8247,0.8248,0.8249,0.825,0.8251,0.8251999999999999,0.8253,0.8254,0.8255,0.8256,0.8257,0.8258000000000001,0.8259000000000001,0.8260000000000001,0.8261000000000001,0.8262,0.8263,0.8264,0.8265,0.8266,0.8267,0.8268,0.8269,0.827,0.8271,0.8271999999999999,0.8273,0.8274,0.8275,0.8276,0.8277,0.8278000000000001,0.8279000000000001,0.8280000000000001,0.8281000000000001,0.8282,0.8283,0.8284,0.8285,0.8286,0.8287,0.8288,0.8289,0.829,0.8291,0.8291999999999999,0.8293,0.8294,0.8295,0.8296,0.8297,0.8298000000000001,0.8299000000000001,0.8300000000000001,0.8301000000000001,0.8302,0.8303,0.8304,0.8305,0.8306,0.8307,0.8308,0.8309,0.831,0.8311,0.8311999999999999,0.8313,0.8314,0.8315,0.8316,0.8317,0.8318000000000001,0.8319000000000001,0.8320000000000001,0.8321000000000001,0.8322,0.8323,0.8324,0.8325,0.8326,0.8327,0.8328,0.8329,0.833,0.8331,0.8331999999999999,0.8333,0.8334,0.8335,0.8336,0.8337,0.8338000000000001,0.8339000000000001,0.8340000000000001,0.8341000000000001,0.8342,0.8343,0.8344,0.8345,0.8346,0.8347,0.8348,0.8349,0.835,0.8351,0.8351999999999999,0.8353,0.8354,0.8355,0.8356,0.8357,0.8358000000000001,0.8359000000000001,0.8360000000000001,0.8361000000000001,0.8362,0.8363,0.8364,0.8365,0.8366,0.8367,0.8368,0.8369,0.837,0.8371,0.8371999999999999,0.8372999999999999,0.8374,0.8375,0.8376,0.8377,0.8378,0.8379000000000001,0.8380000000000001,0.8381000000000001,0.8382000000000001,0.8383,0.8384,0.8385,0.8386,0.8387,0.8388,0.8389,0.839,0.8391,0.8392,0.8392999999999999,0.8394,0.8395,0.8396,0.8397,0.8398,0.8399000000000001,0.8400000000000001,0.8401000000000001,0.8402000000000001,0.8403,0.8404,0.8405,0.8406,0.8407,0.8408,0.8409,0.841,0.8411,0.8412,0.8412999999999999,0.8414,0.8415,0.8416,0.8417,0.8418,0.8419000000000001,0.8420000000000001,0.8421000000000001,0.8422000000000001,0.8423,0.8424,0.8425,0.8426,0.8427,0.8428,0.8429,0.843,0.8431,0.8432,0.8432999999999999,0.8434,0.8435,0.8436,0.8437,0.8438,0.8439000000000001,0.8440000000000001,0.8441000000000001,0.8442000000000001,0.8443,0.8444,0.8445,0.8446,0.8447,0.8448,0.8449,0.845,0.8451,0.8452,0.8452999999999999,0.8454,0.8455,0.8456,0.8457,0.8458,0.8459000000000001,0.8460000000000001,0.8461000000000001,0.8462000000000001,0.8463,0.8464,0.8465,0.8466,0.8467,0.8468,0.8469,0.847,0.8471,0.8472,0.8472999999999999,0.8474,0.8475,0.8476,0.8477,0.8478,0.8479000000000001,0.8480000000000001,0.8481000000000001,0.8482000000000001,0.8483,0.8484,0.8485,0.8486,0.8487,0.8488,0.8489,0.849,0.8491,0.8492,0.8492999999999999,0.8494,0.8495,0.8496,0.8497,0.8498,0.8499000000000001,0.8500000000000001,0.8501000000000001,0.8502000000000001,0.8503000000000001,0.8504,0.8505,0.8506,0.8507,0.8508,0.8509,0.851,0.8511,0.8512,0.8513,0.8513999999999999,0.8515,0.8516,0.8517,0.8518,0.8519,0.8520000000000001,0.8521000000000001,0.8522000000000001,0.8523000000000001,0.8524,0.8525,0.8526,0.8527,0.8528,0.8529,0.853,0.8531,0.8532,0.8533,0.8533999999999999,0.8535,0.8536,0.8537,0.8538,0.8539,0.8540000000000001,0.8541000000000001,0.8542000000000001,0.8543000000000001,0.8544,0.8545,0.8546,0.8547,0.8548,0.8549,0.855,0.8551,0.8552,0.8553,0.8553999999999999,0.8555,0.8556,0.8557,0.8558,0.8559,0.8560000000000001,0.8561000000000001,0.8562000000000001,0.8563000000000001,0.8564,0.8565,0.8566,0.8567,0.8568,0.8569,0.857,0.8571,0.8572,0.8573,0.8573999999999999,0.8575,0.8576,0.8577,0.8578,0.8579,0.8580000000000001,0.8581000000000001,0.8582000000000001,0.8583000000000001,0.8584,0.8585,0.8586,0.8587,0.8588,0.8589,0.859,0.8591,0.8592,0.8593,0.8593999999999999,0.8595,0.8596,0.8597,0.8598,0.8599,0.8600000000000001,0.8601000000000001,0.8602000000000001,0.8603000000000001,0.8604,0.8605,0.8606,0.8607,0.8608,0.8609,0.861,0.8611,0.8612,0.8613,0.8613999999999999,0.8615,0.8616,0.8617,0.8618,0.8619,0.8620000000000001,0.8621000000000001,0.8622000000000001,0.8623000000000001,0.8624,0.8625,0.8626,0.8627,0.8628,0.8629,0.863,0.8631,0.8632,0.8633,0.8634,0.8634999999999999,0.8636,0.8637,0.8638,0.8639,0.864,0.8641000000000001,0.8642000000000001,0.8643000000000001,0.8644000000000001,0.8645,0.8646,0.8647,0.8648,0.8649,0.865,0.8651,0.8652,0.8653,0.8654,0.8654999999999999,0.8656,0.8657,0.8658,0.8659,0.866,0.8661000000000001,0.8662000000000001,0.8663000000000001,0.8664000000000001,0.8665,0.8666,0.8667,0.8668,0.8669,0.867,0.8671,0.8672,0.8673,0.8674,0.8674999999999999,0.8676,0.8677,0.8678,0.8679,0.868,0.8681000000000001,0.8682000000000001,0.8683000000000001,0.8684000000000001,0.8685,0.8686,0.8687,0.8688,0.8689,0.869,0.8691,0.8692,0.8693,0.8694,0.8694999999999999,0.8696,0.8697,0.8698,0.8699,0.87,0.8701000000000001,0.8702000000000001,0.8703000000000001,0.8704000000000001,0.8705,0.8706,0.8707,0.8708,0.8709,0.871,0.8711,0.8712,0.8713,0.8714,0.8714999999999999,0.8716,0.8717,0.8718,0.8719,0.872,0.8721000000000001,0.8722000000000001,0.8723000000000001,0.8724000000000001,0.8725,0.8726,0.8727,0.8728,0.8729,0.873,0.8731,0.8732,0.8733,0.8734,0.8734999999999999,0.8736,0.8737,0.8738,0.8739,0.874,0.8741000000000001,0.8742000000000001,0.8743000000000001,0.8744000000000001,0.8745,0.8746,0.8747,0.8748,0.8749,0.875,0.8751,0.8752,0.8753,0.8754,0.8755,0.8756,0.8757,0.8758,0.8759,0.876,0.8761000000000001,0.8762000000000001,0.8763000000000001,0.8764000000000001,0.8765000000000001,0.8766,0.8767,0.8768,0.8769,0.877,0.8771,0.8772,0.8773,0.8774,0.8775,0.8775999999999999,0.8777,0.8778,0.8779,0.878,0.8781,0.8782000000000001,0.8783000000000001,0.8784000000000001,0.8785000000000001,0.8786,0.8787,0.8788,0.8789,0.879,0.8791,0.8792,0.8793,0.8794,0.8795,0.8795999999999999,0.8797,0.8798,0.8799,0.88,0.8801,0.8802000000000001,0.8803000000000001,0.8804000000000001,0.8805000000000001,0.8806,0.8807,0.8808,0.8809,0.881,0.8811,0.8812,0.8813,0.8814,0.8815,0.8815999999999999,0.8817,0.8818,0.8819,0.882,0.8821,0.8822000000000001,0.8823000000000001,0.8824000000000001,0.8825000000000001,0.8826,0.8827,0.8828,0.8829,0.883,0.8831,0.8832,0.8833,0.8834,0.8835,0.8835999999999999,0.8837,0.8838,0.8839,0.884,0.8841,0.8842000000000001,0.8843000000000001,0.8844000000000001,0.8845000000000001,0.8846,0.8847,0.8848,0.8849,0.885,0.8851,0.8852,0.8853,0.8854,0.8855,0.8855999999999999,0.8857,0.8858,0.8859,0.886,0.8861,0.8862000000000001,0.8863000000000001,0.8864000000000001,0.8865000000000001,0.8866,0.8867,0.8868,0.8869,0.887,0.8871,0.8872,0.8873,0.8874,0.8875,0.8876,0.8877,0.8878,0.8879,0.888,0.8881,0.8882000000000001,0.8883000000000001,0.8884000000000001,0.8885000000000001,0.8886000000000001,0.8887,0.8888,0.8889,0.889,0.8891,0.8892,0.8893,0.8894,0.8895,0.8896,0.8897,0.8898,0.8899,0.89,0.8901,0.8902,0.8903000000000001,0.8904000000000001,0.8905000000000001,0.8906000000000001,0.8907,0.8908,0.8909,0.891,0.8911,0.8912,0.8913,0.8914,0.8915,0.8916,0.8916999999999999,0.8918,0.8919,0.892,0.8921,0.8922,0.8923000000000001,0.8924000000000001,0.8925000000000001,0.8926000000000001,0.8927,0.8928,0.8929,0.893,0.8931,0.8932,0.8933,0.8934,0.8935,0.8936,0.8936999999999999,0.8938,0.8939,0.894,0.8941,0.8942,0.8943000000000001,0.8944000000000001,0.8945000000000001,0.8946000000000001,0.8947,0.8948,0.8949,0.895,0.8951,0.8952,0.8953,0.8954,0.8955,0.8956,0.8956999999999999,0.8958,0.8959,0.896,0.8961,0.8962,0.8963000000000001,0.8964000000000001,0.8965000000000001,0.8966000000000001,0.8967,0.8968,0.8969,0.897,0.8971,0.8972,0.8973,0.8974,0.8975,0.8976,0.8976999999999999,0.8978,0.8979,0.898,0.8981,0.8982,0.8983000000000001,0.8984000000000001,0.8985000000000001,0.8986000000000001,0.8987,0.8988,0.8989,0.899,0.8991,0.8992,0.8993,0.8994,0.8995,0.8996,0.8996999999999999,0.8998,0.8999,0.9,0.9001,0.9002,0.9003000000000001,0.9004000000000001,0.9005000000000001,0.9006000000000001,0.9007000000000001,0.9008,0.9009,0.901,0.9011,0.9012,0.9013,0.9014,0.9015,0.9016,0.9017,0.9018,0.9019,0.902,0.9021,0.9022,0.9023000000000001,0.9024000000000001,0.9025000000000001,0.9026000000000001,0.9027000000000001,0.9028,0.9029,0.903,0.9031,0.9032,0.9033,0.9034,0.9035,0.9036,0.9037,0.9037999999999999,0.9039,0.904,0.9041,0.9042,0.9043,0.9044000000000001,0.9045000000000001,0.9046000000000001,0.9047000000000001,0.9048,0.9049,0.905,0.9051,0.9052,0.9053,0.9054,0.9055,0.9056,0.9057,0.9057999999999999,0.9059,0.906,0.9061,0.9062,0.9063,0.9064000000000001,0.9065000000000001,0.9066000000000001,0.9067000000000001,0.9068,0.9069,0.907,0.9071,0.9072,0.9073,0.9074,0.9075,0.9076,0.9077,0.9077999999999999,0.9079,0.908,0.9081,0.9082,0.9083,0.9084000000000001,0.9085000000000001,0.9086000000000001,0.9087000000000001,0.9088,0.9089,0.909,0.9091,0.9092,0.9093,0.9094,0.9095,0.9096,0.9097,0.9097999999999999,0.9099,0.91,0.9101,0.9102,0.9103,0.9104000000000001,0.9105000000000001,0.9106000000000001,0.9107000000000001,0.9108,0.9109,0.911,0.9111,0.9112,0.9113,0.9114,0.9115,0.9116,0.9117,0.9117999999999999,0.9119,0.912,0.9121,0.9122,0.9123,0.9124000000000001,0.9125000000000001,0.9126000000000001,0.9127000000000001,0.9128000000000001,0.9129,0.913,0.9131,0.9132,0.9133,0.9134,0.9135,0.9136,0.9137,0.9138,0.9139,0.914,0.9141,0.9142,0.9143,0.9144000000000001,0.9145000000000001,0.9146000000000001,0.9147000000000001,0.9148000000000001,0.9149,0.915,0.9151,0.9152,0.9153,0.9154,0.9155,0.9156,0.9157,0.9158,0.9159,0.916,0.9161,0.9162,0.9163,0.9164,0.9165000000000001,0.9166000000000001,0.9167000000000001,0.9168000000000001,0.9169,0.917,0.9171,0.9172,0.9173,0.9174,0.9175,0.9176,0.9177,0.9178,0.9178999999999999,0.918,0.9181,0.9182,0.9183,0.9184,0.9185000000000001,0.9186000000000001,0.9187000000000001,0.9188000000000001,0.9189,0.919,0.9191,0.9192,0.9193,0.9194,0.9195,0.9196,0.9197,0.9198,0.9198999999999999,0.92,0.9201,0.9202,0.9203,0.9204,0.9205000000000001,0.9206000000000001,0.9207000000000001,0.9208000000000001,0.9209,0.921,0.9211,0.9212,0.9213,0.9214,0.9215,0.9216,0.9217,0.9218,0.9218999999999999,0.922,0.9221,0.9222,0.9223,0.9224,0.9225000000000001,0.9226000000000001,0.9227000000000001,0.9228000000000001,0.9229,0.923,0.9231,0.9232,0.9233,0.9234,0.9235,0.9236,0.9237,0.9238,0.9238999999999999,0.924,0.9241,0.9242,0.9243,0.9244,0.9245000000000001,0.9246000000000001,0.9247000000000001,0.9248000000000001,0.9249,0.925,0.9251,0.9252,0.9253,0.9254,0.9255,0.9256,0.9257,0.9258,0.9259,0.926,0.9261,0.9262,0.9263,0.9264,0.9265000000000001,0.9266000000000001,0.9267000000000001,0.9268000000000001,0.9269000000000001,0.927,0.9271,0.9272,0.9273,0.9274,0.9275,0.9276,0.9277,0.9278,0.9279,0.928,0.9281,0.9282,0.9283,0.9284,0.9285000000000001,0.9286000000000001,0.9287000000000001,0.9288000000000001,0.9289000000000001,0.929,0.9291,0.9292,0.9293,0.9294,0.9295,0.9296,0.9297,0.9298,0.9299,0.9299999999999999,0.9301,0.9302,0.9303,0.9304,0.9305,0.9306000000000001,0.9307000000000001,0.9308000000000001,0.9309000000000001,0.931,0.9311,0.9312,0.9313,0.9314,0.9315,0.9316,0.9317,0.9318,0.9319,0.9319999999999999,0.9321,0.9322,0.9323,0.9324,0.9325,0.9326000000000001,0.9327000000000001,0.9328000000000001,0.9329000000000001,0.933,0.9331,0.9332,0.9333,0.9334,0.9335,0.9336,0.9337,0.9338,0.9339,0.9339999999999999,0.9341,0.9342,0.9343,0.9344,0.9345,0.9346000000000001,0.9347000000000001,0.9348000000000001,0.9349000000000001,0.935,0.9351,0.9352,0.9353,0.9354,0.9355,0.9356,0.9357,0.9358,0.9359,0.9359999999999999,0.9361,0.9362,0.9363,0.9364,0.9365,0.9366000000000001,0.9367000000000001,0.9368000000000001,0.9369000000000001,0.937,0.9371,0.9372,0.9373,0.9374,0.9375,0.9376,0.9377,0.9378,0.9379,0.938,0.9381,0.9382,0.9383,0.9384,0.9385,0.9386000000000001,0.9387000000000001,0.9388000000000001,0.9389000000000001,0.9390000000000001,0.9391,0.9392,0.9393,0.9394,0.9395,0.9396,0.9397,0.9398,0.9399,0.94,0.9401,0.9402,0.9403,0.9404,0.9405,0.9406000000000001,0.9407000000000001,0.9408000000000001,0.9409000000000001,0.9410000000000001,0.9411,0.9412,0.9413,0.9414,0.9415,0.9416,0.9417,0.9418,0.9419,0.942,0.9421,0.9422,0.9423,0.9424,0.9425,0.9426000000000001,0.9427000000000001,0.9428000000000001,0.9429000000000001,0.9430000000000001,0.9431,0.9432,0.9433,0.9434,0.9435,0.9436,0.9437,0.9438,0.9439,0.944,0.9440999999999999,0.9442,0.9443,0.9444,0.9445,0.9446,0.9447000000000001,0.9448000000000001,0.9449000000000001,0.9450000000000001,0.9451,0.9452,0.9453,0.9454,0.9455,0.9456,0.9457,0.9458,0.9459,0.946,0.9460999999999999,0.9462,0.9463,0.9464,0.9465,0.9466,0.9467000000000001,0.9468000000000001,0.9469000000000001,0.9470000000000001,0.9471,0.9472,0.9473,0.9474,0.9475,0.9476,0.9477,0.9478,0.9479,0.948,0.9480999999999999,0.9482,0.9483,0.9484,0.9485,0.9486,0.9487000000000001,0.9488000000000001,0.9489000000000001,0.9490000000000001,0.9491,0.9492,0.9493,0.9494,0.9495,0.9496,0.9497,0.9498,0.9499,0.95,0.9501,0.9502,0.9503,0.9504,0.9505,0.9506,0.9507000000000001,0.9508000000000001,0.9509000000000001,0.9510000000000001,0.9511000000000001,0.9512,0.9513,0.9514,0.9515,0.9516,0.9517,0.9518,0.9519,0.952,0.9521,0.9522,0.9523,0.9524,0.9525,0.9526,0.9527000000000001,0.9528000000000001,0.9529000000000001,0.9530000000000001,0.9531000000000001,0.9532,0.9533,0.9534,0.9535,0.9536,0.9537,0.9538,0.9539,0.954,0.9541,0.9542,0.9543,0.9544,0.9545,0.9546,0.9547000000000001,0.9548000000000001,0.9549000000000001,0.9550000000000001,0.9551000000000001,0.9552,0.9553,0.9554,0.9555,0.9556,0.9557,0.9558,0.9559,0.956,0.9561,0.9561999999999999,0.9563,0.9564,0.9565,0.9566,0.9567,0.9568000000000001,0.9569000000000001,0.9570000000000001,0.9571000000000001,0.9572,0.9573,0.9574,0.9575,0.9576,0.9577,0.9578,0.9579,0.958,0.9581,0.9581999999999999,0.9583,0.9584,0.9585,0.9586,0.9587,0.9588000000000001,0.9589000000000001,0.9590000000000001,0.9591000000000001,0.9592,0.9593,0.9594,0.9595,0.9596,0.9597,0.9598,0.9599,0.96,0.9601,0.9601999999999999,0.9603,0.9604,0.9605,0.9606,0.9607,0.9608000000000001,0.9609000000000001,0.9610000000000001,0.9611000000000001,0.9612,0.9613,0.9614,0.9615,0.9616,0.9617,0.9618,0.9619,0.962,0.9621,0.9621999999999999,0.9623,0.9624,0.9625,0.9626,0.9627,0.9628000000000001,0.9629000000000001,0.9630000000000001,0.9631000000000001,0.9632000000000001,0.9633,0.9634,0.9635,0.9636,0.9637,0.9638,0.9639,0.964,0.9641,0.9642,0.9643,0.9644,0.9645,0.9646,0.9647,0.9648000000000001,0.9649000000000001,0.9650000000000001,0.9651000000000001,0.9652000000000001,0.9653,0.9654,0.9655,0.9656,0.9657,0.9658,0.9659,0.966,0.9661,0.9662,0.9663,0.9664,0.9665,0.9666,0.9667,0.9668000000000001,0.9669000000000001,0.9670000000000001,0.9671000000000001,0.9672000000000001,0.9673,0.9674,0.9675,0.9676,0.9677,0.9678,0.9679,0.968,0.9681,0.9682,0.9683,0.9684,0.9685,0.9686,0.9687,0.9688000000000001,0.9689000000000001,0.9690000000000001,0.9691000000000001,0.9692000000000001,0.9693,0.9694,0.9695,0.9696,0.9697,0.9698,0.9699,0.97,0.9701,0.9702,0.9702999999999999,0.9704,0.9705,0.9706,0.9707,0.9708,0.9709000000000001,0.9710000000000001,0.9711000000000001,0.9712000000000001,0.9713,0.9714,0.9715,0.9716,0.9717,0.9718,0.9719,0.972,0.9721,0.9722,0.9722999999999999,0.9724,0.9725,0.9726,0.9727,0.9728,0.9729000000000001,0.9730000000000001,0.9731000000000001,0.9732000000000001,0.9733,0.9734,0.9735,0.9736,0.9737,0.9738,0.9739,0.974,0.9741,0.9742,0.9742999999999999,0.9744,0.9745,0.9746,0.9747,0.9748,0.9749000000000001,0.9750000000000001,0.9751000000000001,0.9752000000000001,0.9753000000000001,0.9754,0.9755,0.9756,0.9757,0.9758,0.9759,0.976,0.9761,0.9762,0.9763,0.9764,0.9765,0.9766,0.9767,0.9768,0.9769000000000001,0.9770000000000001,0.9771000000000001,0.9772000000000001,0.9773000000000001,0.9774,0.9775,0.9776,0.9777,0.9778,0.9779,0.978,0.9781,0.9782,0.9783,0.9784,0.9785,0.9786,0.9787,0.9788,0.9789000000000001,0.9790000000000001,0.9791000000000001,0.9792000000000001,0.9793000000000001,0.9794,0.9795,0.9796,0.9797,0.9798,0.9799,0.98,0.9801,0.9802,0.9803,0.9804,0.9805,0.9806,0.9807,0.9808,0.9809000000000001,0.9810000000000001,0.9811000000000001,0.9812000000000001,0.9813000000000001,0.9814,0.9815,0.9816,0.9817,0.9818,0.9819,0.982,0.9821,0.9822,0.9823,0.9823999999999999,0.9825,0.9826,0.9827,0.9828,0.9829,0.9830000000000001,0.9831000000000001,0.9832000000000001,0.9833000000000001,0.9834,0.9835,0.9836,0.9837,0.9838,0.9839,0.984,0.9841,0.9842,0.9843,0.9843999999999999,0.9845,0.9846,0.9847,0.9848,0.9849,0.9850000000000001,0.9851000000000001,0.9852000000000001,0.9853000000000001,0.9854,0.9855,0.9856,0.9857,0.9858,0.9859,0.986,0.9861,0.9862,0.9863,0.9863999999999999,0.9865,0.9866,0.9867,0.9868,0.9869,0.9870000000000001,0.9871000000000001,0.9872000000000001,0.9873000000000001,0.9874,0.9875,0.9876,0.9877,0.9878,0.9879,0.988,0.9881,0.9882,0.9883,0.9884,0.9885,0.9886,0.9887,0.9888,0.9889,0.9890000000000001,0.9891000000000001,0.9892000000000001,0.9893000000000001,0.9894000000000001,0.9895,0.9896,0.9897,0.9898,0.9899,0.99,0.9901,0.9902,0.9903,0.9904,0.9905,0.9906,0.9907,0.9908,0.9909,0.9910000000000001,0.9911000000000001,0.9912000000000001,0.9913000000000001,0.9914000000000001,0.9915,0.9916,0.9917,0.9918,0.9919,0.992,0.9921,0.9922,0.9923,0.9924,0.9925,0.9926,0.9927,0.9928,0.9929,0.9930000000000001,0.9931000000000001,0.9932000000000001,0.9933000000000001,0.9934000000000001,0.9935,0.9936,0.9937,0.9938,0.9939,0.994,0.9941,0.9942,0.9943,0.9944,0.9945,0.9946,0.9947,0.9948,0.9949,0.9950000000000001,0.9951000000000001,0.9952000000000001,0.9953000000000001,0.9954000000000001,0.9955,0.9956,0.9957,0.9958,0.9959,0.996,0.9961,0.9962,0.9963,0.9964,0.9964999999999999,0.9966,0.9967,0.9968,0.9969,0.997,0.9971000000000001,0.9972000000000001,0.9973000000000001,0.9974000000000001,0.9975,0.9976,0.9977,0.9978,0.9979,0.998,0.9981,0.9982,0.9983,0.9984,0.9984999999999999,0.9986,0.9987,0.9988,0.9989,0.999,0.9991000000000001,0.9992000000000001,0.9993000000000001,0.9994000000000001,0.9995,0.9996,0.9997,0.9998,0.9999,1.0],\\\"y\\\":[0.8981465076852975,0.8981127299494186,0.8980789522135397,0.8980451744776607,0.8980113967417819,0.897977619005903,0.8979438412700241,0.8979100635341453,0.8978762857982664,0.897871171384478,0.897881991935009,0.8978928124855396,0.8979036330360706,0.8979144535866013,0.8979252741371322,0.8979360946876629,0.8979469152381938,0.8979582739100789,0.8979702095246447,0.8979820702382119,0.8979939309517788,0.8980057916653459,0.898017652378913,0.89802951309248,0.8980413738060471,0.8980532345196142,0.8980650952331812,0.8980769559467483,0.8980888166603154,0.8981006773738824,0.8981132481563395,0.8981268504901004,0.8981427606233516,0.8981586707566029,0.8981745808898542,0.8981904910231053,0.8982064011563566,0.8982223112896079,0.8982374528237724,0.8982490945900514,0.8982584506161201,0.898265308344312,0.8982721660725042,0.898279023800696,0.898285881528888,0.8982927392570799,0.898299596985272,0.8983064794974278,0.8983145589560335,0.8983247763616998,0.8983360644373843,0.898347352513069,0.8983586405887536,0.8983699286644381,0.8983812167401226,0.8983925048158072,0.8984012402778293,0.8984086588807938,0.8984160774837582,0.8984234960867226,0.8984327461481363,0.8984442828814616,0.898455667116367,0.8984660837211544,0.8984765003259418,0.8984869169307295,0.8984973335355169,0.8985077501403044,0.8985181667450919,0.8985285833498793,0.8985389999546668,0.8985494165594543,0.8985598331642418,0.8985704607604981,0.8985855774421443,0.8986021242147176,0.8986186709872909,0.8986352177598642,0.8986521620936654,0.8986688945675189,0.8986856270413723,0.8987023595152258,0.8987190919890793,0.8987358244629327,0.8987525569367862,0.8987692894106396,0.8987860218844932,0.8987780135620962,0.8987102798116405,0.8986258318628418,0.8985400034941506,0.8984406677184886,0.898218917232271,0.8980574427770326,0.8979756775019606,0.8978939122268887,0.8978121469518165,0.897744550696287,0.8977450024829834,0.8977454542696799,0.8977459060563764,0.8977496806676406,0.8977629754250221,0.8977762701824037,0.8977895649397853,0.8978033743249939,0.8978114504395255,0.8978137568868443,0.8978160633341633,0.8978183697814823,0.8978206762288011,0.8978229826761202,0.8978252891234391,0.897827595570758,0.8978316111203348,0.8978449330182134,0.8978582549160921,0.897871778541669,0.8978861211628868,0.8979004637841044,0.8979148064053221,0.8979298259579098,0.8979449669801267,0.8979600778583443,0.8979751887365619,0.8979902996147795,0.8980054104929972,0.8980205213712149,0.8980356322494325,0.8980507431276501,0.898065746087608,0.898080663108902,0.8980843014821458,0.8980788556747805,0.8980747479295903,0.8980706401844001,0.8980665324392099,0.8980624246940196,0.8980583169488293,0.898054209203639,0.8980501014584488,0.8980459937132586,0.8980529013993617,0.8980608254266531,0.8980687494539444,0.8980766734812358,0.8980845975085271,0.8980925215358184,0.8981004455631098,0.8981082757334115,0.8981156296612556,0.8981301162032074,0.8981446769792729,0.8981592377553383,0.8981737985314038,0.8981883593074693,0.8982029200835348,0.8982163484301507,0.898227092018999,0.8982378356078471,0.8982485791966952,0.898259186644798,0.8982666691471957,0.8982741516495933,0.8982818114132612,0.8982895012254748,0.8982971910376883,0.8983048808499019,0.8983125706621153,0.8983199623331131,0.8983263391720584,0.898332716011004,0.8983371723604048,0.8983385693475409,0.898339966334677,0.8983413633218131,0.8983427603089493,0.8983441572960855,0.8983455542832217,0.8983492617770468,0.898356588091455,0.8983638394387352,0.8983710907860154,0.8983783421332956,0.8983855934805758,0.8983928448278561,0.8984000961751364,0.8984073340847933,0.8984145265918639,0.8984217190989348,0.898427305817066,0.8984303559966946,0.8984334061763234,0.898436456355952,0.8984395065355807,0.8984431920906726,0.8984524471897155,0.8984610270221595,0.8984685756087869,0.8984761241954142,0.8984830133543507,0.8984861805099109,0.8984893476654714,0.8984925148210317,0.8984956819765919,0.8985006834857591,0.8985058200457237,0.8985109566056884,0.8985160931656531,0.8985210818710521,0.8985259513976089,0.8985308209241658,0.8985356626526497,0.8985309630403081,0.8985262634279663,0.8985215638156245,0.8985168642032828,0.8985121645909412,0.8985074649785993,0.8985027653662577,0.8984980657539159,0.8984933661415742,0.8984918753096849,0.8984968982162849,0.8985094831845616,0.8985220681528383,0.8985346531211151,0.8985472380893919,0.8985598230576687,0.898573285520869,0.8985875486919885,0.898595568566011,0.8985980505180402,0.8986005324700694,0.8986030144220987,0.8986054963741279,0.8986079783261572,0.8986104602781865,0.8986129422302157,0.898615424182245,0.8986135513623048,0.8986094469837179,0.898604773257021,0.8985997989282912,0.8985948245995616,0.8985906140859483,0.8985865771585166,0.8985825402310849,0.8985785033036531,0.8985744663762212,0.8985704294487895,0.8985663925213577,0.8985623555939259,0.898559979551512,0.8985688137204596,0.8985803875383347,0.8985932285959042,0.8986060696534737,0.8986189107110432,0.8986317517686127,0.8986444722347324,0.8986565465151057,0.8986686207954792,0.8986806950758525,0.8986927693562259,0.8987048436365992,0.8987157722415272,0.8987266631706331,0.8987375540997391,0.8987455582444124,0.898753317979456,0.8987610777144996,0.8987688374495435,0.8987764626987377,0.8987825034160712,0.8987887867170206,0.8987950700179697,0.898801353318919,0.8988076366198682,0.8988139199208174,0.8988202032217666,0.8988264865227158,0.8988327698236651,0.8988390531246142,0.8988456592039262,0.8988540989917028,0.8988625387794793,0.898870978567256,0.8988794183550326,0.8988878581428092,0.8988962979305859,0.8989047377183625,0.898913177506139,0.8989216324795766,0.8989315526794184,0.898929765924362,0.8989276492393388,0.8989255325543155,0.8989234158692923,0.898921299184269,0.8989002446128722,0.8988702209909258,0.8988401973689795,0.8988101737470331,0.8987801501250867,0.8987501265031403,0.898720102881194,0.8986900792592475,0.8986600556373011,0.8986412120496778,0.898638073081157,0.8986349341126361,0.8986317951441152,0.8986286561755943,0.8986255172070734,0.8986223782385525,0.8986192392700316,0.8986161003015107,0.8986129613329898,0.8986208929300221,0.8986237945588842,0.8986266961877463,0.8986295978166083,0.8986324994454705,0.8986326776790314,0.8986305348299788,0.8986283919809259,0.8986105541932536,0.8985751104875883,0.8985396667819229,0.8985042230762577,0.8984687793705922,0.8984342518830944,0.8984018596914507,0.8983694674998071,0.8983370753081634,0.8983231352311147,0.8983206512665649,0.8983168446506437,0.8983130380347223,0.898309231418801,0.8983054248028799,0.8983016181869585,0.8982978115710374,0.898294004955116,0.8982894500477039,0.8982820135019971,0.8982870207483977,0.8982945466632458,0.8983020725780939,0.8983095984929419,0.8983022296888945,0.8982921749592612,0.8982878375982907,0.8982930581919522,0.8983050450783078,0.8983170319646634,0.8983290188510191,0.8983410057373749,0.8983535911721858,0.8983663010178968,0.8983790108636078,0.8983917207093189,0.89840443055503,0.898417140400741,0.898429850246452,0.8984425600921631,0.8984552699378742,0.8984679797835853,0.8984806896292963,0.8984933994750073,0.8984937992125384,0.8984854957300987,0.8984771922476592,0.8984688887652196,0.89846058528278,0.8984522818003404,0.8984439783179009,0.8984356748354613,0.8984273713530218,0.8984249196716807,0.8984281088720487,0.8984312980724165,0.8984344872727845,0.8984376764731523,0.8984408656735201,0.8984440548738881,0.8984472440742559,0.8984504332746238,0.8984536224749917,0.8984568116753595,0.8984600008757275,0.8984627873269782,0.8984645629948043,0.8984663386626304,0.8984681143304566,0.8984702739219186,0.8984728560945421,0.8984754382671654,0.8984780204397886,0.898480602612412,0.8984831847850354,0.8984857669576587,0.898488349130282,0.8984909313029055,0.8984935134755287,0.898496095648152,0.8984990114280271,0.8985023782188378,0.8985057450096485,0.8985101043160757,0.898514566632411,0.8985190289487465,0.8985150596094609,0.8985094366807377,0.8985038137520145,0.8984981908232913,0.8984907218188353,0.8984739766974037,0.8984572315759721,0.8984404864545406,0.898423741333109,0.8984069962116774,0.8983907167380543,0.8983847141663279,0.8983787115946016,0.8983727090228752,0.8983667064511489,0.8983607038794226,0.8983572715015422,0.8983599171676935,0.8983625628338447,0.898365208499996,0.8983695791703622,0.8983746207228118,0.8983796622752613,0.8983847038277109,0.8983915572578939,0.8983992261963032,0.8984068951347126,0.898414564073122,0.8984222330115313,0.8984299019499409,0.8984361635154581,0.8984294374630677,0.8984227114106774,0.8984159853582872,0.898409259305897,0.8984025332535067,0.8983805404161387,0.8983476766387601,0.8983148128613818,0.8982819490840034,0.898251832723727,0.8982370919192787,0.8982252842581344,0.8982154416431575,0.8982055990281805,0.8981957564132036,0.8981859137982267,0.8981779983258302,0.8981713042740067,0.8981688511381722,0.8981712327691604,0.8981736144001486,0.898175996031137,0.8981783776621253,0.8981809536020307,0.8981837214979913,0.8981864893939517,0.8981892572899124,0.898192025185873,0.8981947930818336,0.8981975609777941,0.8982000902557756,0.898202496531809,0.8982054530907997,0.898212252176794,0.89819852063324,0.8981683846260388,0.8981382486188374,0.8981081126116361,0.8980779766044349,0.8980726969633528,0.8980796278430665,0.8980841848143387,0.8980704465074334,0.898056708200528,0.8980429698936226,0.8980292315867172,0.8980154932798119,0.8980034523482159,0.8979917970912812,0.8979801418343464,0.8979695355357833,0.8979767985322366,0.8979845486123037,0.8979922986923707,0.8980000487724378,0.8980077988525048,0.8980155489325721,0.8980232990126391,0.8980273588457304,0.8980311129734986,0.8980348671012669,0.8980382852071398,0.8980414419046121,0.8980454308219579,0.8980495133640256,0.8980535959060936,0.8980576784481613,0.898061760990229,0.8980658435322968,0.8980699260743645,0.898076631743607,0.8980870650612458,0.8980974983788845,0.8981079316965234,0.898114551529421,0.8981206513753877,0.8981263143500414,0.8981285222441379,0.8981307301382344,0.8981329380323309,0.8981351459264273,0.8981373538205237,0.8981395617146202,0.8981417696087166,0.898143977502813,0.8981461853969095,0.8981454891832852,0.8981408814172892,0.8981362736512932,0.8981316658852974,0.8981269690937213,0.898118781410955,0.8981105937281888,0.8981024060454224,0.8980942183626561,0.8980875252633888,0.8980820016928337,0.8980764781222785,0.8980709545517235,0.8980654309811684,0.8980599074106133,0.8980543838400582,0.898048860269503,0.8980497535469042,0.8980510672338207,0.8980539651878054,0.8980579095215871,0.8980618538553687,0.8980657981891503,0.8980697425229319,0.8980736868567136,0.8980776311904952,0.8980815755242767,0.8980855198580584,0.89808946419184,0.8980968714920811,0.8981067544201141,0.898118130162801,0.8981295059054875,0.8981408816481742,0.8981522573908608,0.8981636331335474,0.8981750088762341,0.8981757151906212,0.8981646565727917,0.8981535979549621,0.8981425393371325,0.898131480719303,0.8981204221014734,0.8981093634836439,0.8981026644399964,0.8980995644557657,0.8980964644715348,0.8980956554556829,0.8980981731954004,0.8981019971818904,0.8981082614065002,0.89811452563111,0.8981207898557199,0.8981270540803298,0.8981333183049396,0.8981395825295494,0.8981458467541592,0.8981505571447974,0.8981521562729806,0.8981525638278368,0.8981529713826929,0.8981533789375491,0.8981537864924052,0.8981541940472614,0.8981546016021174,0.8981550091569737,0.8981555190828585,0.8981585275743071,0.8981664288716946,0.8981743301690821,0.8981822314664696,0.8981901327638571,0.8981980340612445,0.898205935358632,0.8982138366560195,0.898221737953407,0.8982296392507945,0.8982355522221906,0.8982397189111895,0.8982470167787684,0.8982543146463473,0.898261612513926,0.8982689103815049,0.8982762082490838,0.8982835061166626,0.8982910714621951,0.898299596780967,0.8983081220997391,0.8983166474185111,0.8983251727372832,0.8983283313333847,0.8983305494307113,0.8983327675280377,0.8983349856253642,0.8983372037226907,0.8983394218200171,0.8983416399173434,0.8983483438055303,0.8983583854494012,0.8983695815107835,0.898380777572166,0.8983919736335482,0.8984031696949306,0.898414365756313,0.8984166841003427,0.8984097761731691,0.8984028682459956,0.8983949459084868,0.8983980859898038,0.8984050070974399,0.898411928205076,0.8984188493127121,0.8984257704203483,0.8984319733516066,0.8984373552775728,0.8984427372035392,0.8984481191295054,0.8984535010554715,0.8984662282965475,0.8984792967067303,0.898492365116913,0.8985054335270959,0.8985185019372787,0.8985179874509635,0.8985161658661278,0.8985118689327161,0.8984830488332761,0.8984542287338361,0.8984305337747998,0.8984166895374257,0.8984028453000518,0.8984021000386284,0.8984104817185478,0.8984188633984672,0.8984279580315668,0.8984385412830025,0.8984491245344379,0.8984597077858736,0.8984702910373092,0.8984808742887448,0.8984858212231872,0.8984891522071359,0.8984924831910844,0.8984958141750331,0.8984991451589817,0.8985024761429303,0.898505807126879,0.8985081358145046,0.8985105179974361,0.8985141472886314,0.8985177765798267,0.898521405871022,0.8985250351622174,0.8985286644534127,0.8985322937446081,0.8985359230358034,0.8985395523269988,0.8985423425485897,0.8985435721573514,0.8985448017661133,0.8985460313748751,0.8985472609836369,0.8985484905923987,0.8985511212581894,0.8985556607953371,0.898560236195366,0.8985654579249673,0.8985706796545688,0.8985778550832771,0.8985858385197124,0.8985938219561476,0.8986018053925828,0.8986078793356131,0.898613602140244,0.8986193249448746,0.8986250477495055,0.8986345740548136,0.898644126846048,0.8986536796372824,0.8986621421320238,0.8986651146530651,0.8986680871741065,0.8986710596951479,0.8986740322161894,0.8986765529524754,0.8986804727457399,0.8986847785667997,0.8986890843878594,0.8986933902089191,0.898697696029979,0.8987020018510388,0.8987063076720985,0.8987106134931583,0.8987149193142181,0.8987192251352778,0.8987235309563375,0.8987278367773974,0.8987346575812672,0.8987411724575045,0.898742866337983,0.8987445602184615,0.8987422966304619,0.8987369422407512,0.8987315878510406,0.89872623346133,0.8987208790716192,0.8987268584708804,0.89873417585173,0.8987414932325795,0.8987488106134289,0.8987561279942786,0.8987634453751281,0.8987707627559776,0.898778080136827,0.8987853975176767,0.8987927148985262,0.8987996601920106,0.8988065750949966,0.8988134506496684,0.8988203262043404,0.8988272017590121,0.898834077313684,0.8988409528683559,0.8988478284230277,0.8988547039776995,0.8988615795323713,0.8988684550870432,0.898875330641715,0.8988822061963868,0.8988808401263026,0.8988799681245045,0.8988797800336843,0.898879591942864,0.8988794038520438,0.8988792157612236,0.8988790276704033,0.8988788395795831,0.8988786112972273,0.898877265682614,0.8988759200680005,0.8988745744533871,0.8988732288387736,0.8988661388218989,0.8988500325532883,0.8988339262846776,0.8988191010746918,0.8988059561305413,0.8987915232140311,0.8987765730275221,0.8987616228410131,0.8987466726545044,0.8987317224679954,0.8987167722814864,0.8987018220949775,0.8986868719084686,0.8986719217219596,0.8986569715354507,0.8986420213489417,0.8986270711624329,0.8986069158639711,0.8985761720168046,0.8985454906138712,0.898514809210938,0.8984841278080047,0.898458292486086,0.8984578627991435,0.8984590415379191,0.8984650085263941,0.8984709755148691,0.8984769425033441,0.898482909491819,0.8984888764802941,0.898494843468769,0.898503385536763,0.8985137338630391,0.8985240821893152,0.8985277156326972,0.8985057451018503,0.8984837745710031,0.8984774208181419,0.8984886961276186,0.8985008408943043,0.8985132742251751,0.8985257075560462,0.8985381408869173,0.8985505742177883,0.8985630075486593,0.8985754408795302,0.8985878742104012,0.8986003075412723,0.898609206050391,0.8986118867140602,0.8986126854909953,0.8986134842679303,0.8986142830448653,0.8986150818218005,0.8986130380350057,0.8986066771170834,0.8986029918132918,0.8985993065095003,0.8985956212057087,0.898591935901917,0.8985882505981254,0.8985823113807587,0.8985706809568357,0.8985646786614838,0.8985614414713862,0.8985582042812885,0.8985549670911909,0.8985517299010932,0.8985484927109957,0.8985452555208979,0.8985420183308004,0.8985376587420195,0.8985324256677444,0.898527192593469,0.8985219595191938,0.8985167264449185,0.898521441502084,0.8985276761643088,0.8985339108265336,0.8985401729628235,0.8985491101193327,0.8985580472758418,0.898566984432351,0.89857592158886,0.8985848587453691,0.8985937959018783,0.8986027330583873,0.8986116702148965,0.8986206073714056,0.8986295445279147,0.8986384816844238,0.8986490379396521,0.8986605434722417,0.8986720490048312,0.8986835545374208,0.8986950600700103,0.8987065656025999,0.8987180711351894,0.898729576667779,0.8987414129427826,0.8987546330405087,0.8987678531382348,0.8987810732359609,0.898794293333687,0.8988075134314131,0.8988207335291392,0.8988348709437672,0.8988471172253865,0.8988592590186082,0.8988714008118301,0.898883542605052,0.8988956843982738,0.8989076166955899,0.8989168818193946,0.8989261469431991,0.8989354120670037,0.8989446771908082,0.8989539423146127,0.8989632074384173,0.8989724725622218,0.898980876718281,0.8989733772246353,0.8989626937339475,0.8989520102432598,0.898941326752572,0.8989306432618842,0.8989199597711964,0.8989092762805087,0.8988985927898208,0.8988932830314531,0.8988976877212261,0.8989062417218425,0.898914795722459,0.8989233497230753,0.8989319037236918,0.8989404577243083,0.8989490117249246,0.8989575657255411,0.8989661197261574,0.8989746737267739,0.8989832277273904,0.8989917817280066,0.8990003357286231,0.8990088897292395,0.8990174437298559,0.8990259977304724,0.8990345517310888,0.8990434168745918,0.8990531330725882,0.8990629012543574,0.8990734509575538,0.8990840006607499,0.899094550363946,0.8991051000671422,0.8991156497703383,0.8991261994735346,0.8991367491767308,0.899147298879927,0.8991578485831231,0.8991710836230304,0.8991845243124649,0.8991979650018993,0.8992098018014563,0.8992209015781849,0.8992320013549137,0.8992431011316424,0.8992542009083712,0.8992653006850999,0.8992764004618287,0.8992875002385574,0.8992970269862604,0.8993034478347164,0.8993043112646424,0.8993051746945682,0.899306038124494,0.8993069015544198,0.8993077649843457,0.8993086284142715,0.8993094918441974,0.8993103552741232,0.8993112187040491,0.8993151525055141,0.8993203062882545,0.899325460070995,0.8993306138537356,0.899335767636476,0.8993413298944717,0.8993470223765707,0.8993527148586697,0.8993584073407688,0.8993640998228678,0.8993689281965878,0.8993728101123055,0.8993766920280232,0.8993817914001013,0.8993872560164992,0.8993927206328969,0.8993981852492947,0.8994036498656924,0.8994091144820902,0.899414579098488,0.8994200437148858,0.8994255083312835,0.8994309729476814,0.89943756263778,0.8994447257034559,0.8994518887691315,0.8994590518348073,0.8994650212016304,0.8994693003938399,0.8994735795860493,0.8994778587782587,0.899482137970468,0.8994864171626774,0.8994889614374714,0.8994797623597266,0.8994705632819818,0.8994613642042371,0.8994521651264924,0.8994471184009806,0.8994481694530718,0.899449220505163,0.8994502715572541,0.8994513226093452,0.8994523736614365,0.8994534247135277,0.8994580754705973,0.8994565128389044,0.899454700777697,0.8994559984121266,0.8994610828552911,0.8994661672984554,0.8994668105485697,0.8994660009455222,0.8994651913424747,0.8994643817394272,0.8994635721363797,0.8994627625333322,0.8994619529302847,0.8994611433272373,0.8994603337241898,0.8994595241211423,0.8994587145180948,0.8994579049150473,0.8994632453305902,0.8994685981972856,0.8994739510639811,0.8994793039306765,0.8994846567973722,0.8994900096640677,0.8994959359733897,0.8995023438897727,0.8995087518061556,0.8995151597225385,0.8995215676389214,0.8995279755553044,0.8995343834716872,0.8995407913880703,0.8995471993044531,0.8995494361153464,0.8995485999151207,0.8995474899326692,0.8995463799502177,0.8995452699677662,0.8995441599853149,0.8995430500028634,0.8995419400204119,0.8995408300379605,0.899539720055509,0.8995466001257411,0.8995545940407702,0.8995575912213751,0.8995600710494587,0.8995625508775421,0.8995650307056255,0.8995666578025343,0.8995651449468833,0.8995636320912324,0.8995621192355814,0.8995606063799304,0.8995530122144991,0.8995438092827347,0.8995346063509703,0.899525403419206,0.8995288684683873,0.8995327545686453,0.8995346862788707,0.899533548000141,0.8995324097214112,0.8995312714426817,0.899530133163952,0.8995289948852223,0.8995278566064926,0.8995267183277629,0.8995255800490333,0.8995244417703037,0.8995218146780112,0.8995143509946684,0.8995071494846025,0.8995021830598645,0.8994972166351265,0.8994922502103886,0.8994872837856505,0.8994823173609126,0.8994773509361744,0.8994723845114365,0.8994678150208089,0.8994692372458643,0.8994715761636628,0.8994780598407619,0.899484543517861,0.8994910271949601,0.8994975108720593,0.8995039945491583,0.8995104782262575,0.8995169619033565,0.8995196947278334,0.8995205693999695,0.8995231479419222,0.899525726483875,0.8995283050258277,0.8995308835677804,0.8995334621097332,0.8995367810057557,0.8995430601777503,0.8995493393497449,0.8995556185217394,0.8995618976937341,0.8995681768657285,0.8995744560377232,0.8995807352097177,0.8995844443365004,0.8995894399924076,0.8995958571317718,0.8996022742711361,0.8996086914105004,0.8996151085498647,0.8996215256892289,0.8996279428285933,0.8996348009118247,0.8996435937895688,0.8996523866673131,0.8996611795450571,0.8996699724228013,0.8996787653005454,0.8996875581782895,0.8996963510560336,0.8997003757164462,0.8997027063104578,0.8997050369044692,0.8997073674984808,0.8997096980924921,0.8997120286865037,0.899714359280515,0.8997173597808433,0.8997205938401149,0.8997252101601066,0.8997303965186456,0.8997355828771845,0.8997407692357233,0.8997459555942622,0.899751141952801,0.89975632831134,0.8997615146698787,0.8997667010284177,0.8997718873869567,0.8997765493145181,0.8997799389866665,0.899783328658815,0.8997867183309636,0.8997901080031121,0.8997934976752606,0.899796887347409,0.8998002770195574,0.8998036666917061,0.8998070563638545,0.899810446036003,0.8998065450023971,0.8998018005582629,0.8997981538555473,0.8997946770786753,0.8997912003018032,0.8997877235249312,0.899784246748059,0.8997807699711868,0.8997784002363606,0.8997765193165215,0.8997746383966824,0.8997728843811031,0.8997773824939337,0.8997818806067641,0.8997863787195947,0.8997933943659795,0.8998012790726934,0.8998091637794072,0.8998170484861212,0.8998249331928352,0.8998328178995492,0.8998317727419365,0.8998263367643184,0.8998183473838877,0.8998119583205212,0.8998055692571547,0.8997991801937882,0.8997927911304218,0.8997864020670553,0.8997800130036888,0.8997736239403225,0.8997672348769559,0.8997608458135895,0.8997544567502229,0.8997392134704507,0.8997270987500974,0.8997183531680539,0.8997096075860104,0.8997008620039668,0.8996921164219233,0.8996833708398797,0.8996746252578363,0.8996658796757927,0.8996571340937491,0.899650970074537,0.8996577872429115,0.8996646044112857,0.8996714215796602,0.8996784912844271,0.8996873716591627,0.8996962520338985,0.899705132408634,0.8997140127833697,0.8997228931581054,0.899731773532841,0.8997406539075767,0.8997495342823123,0.8997583270980098,0.8997642467088474,0.8997616013301188,0.8997589559513904,0.899756310572662,0.8997536651939336,0.8997510198152052,0.8997483744364769,0.8997457290577485,0.8997404841997303,0.8997372211292369,0.8997350470366879,0.8997328729441392,0.8997372782091624,0.8997429017020045,0.8997485251948467,0.899754148687689,0.8997597721805312,0.8997653956733734,0.8997710191662156,0.8997766426590579,0.8997676031360087,0.8997573296410165,0.8997470561460241,0.8997512054760259,0.8997588729120366,0.8997665403480472,0.8997742077840578,0.8997818752200684,0.8997895426560789,0.8997972100920895,0.8998059040424345,0.8998149470714369,0.8998239901004393,0.8998330331294417,0.8998420761584442,0.8998511191874466,0.8998601577695954,0.8998691198567241,0.899878081943853,0.8998870440309817,0.8998928845085196,0.8998742153128196,0.8998555461171196,0.8998368769214196,0.8998182077257195,0.8997995385300195,0.8997799330550427,0.8997601639309369,0.899740394806831,0.899720625682725,0.8997008565586191,0.8996810874345132,0.8996715604863657,0.8996786265334094,0.8996856925804532,0.8996906954724262,0.8996917676672231,0.8996928398620202,0.8996939120568173,0.8996945225667603,0.8996932385468392,0.8996919545269182,0.8996906705069971,0.8996876978445869,0.8996811579235897,0.8996746180025925,0.8996680780815954,0.8996615381605981,0.8996588687808489,0.8996602452519435,0.8996616217230383,0.8996629981941332,0.899664374665228,0.8996654703195333,0.899661292490596,0.8996571146616585,0.8996529368327213,0.8996487590037838,0.8996445811748465,0.8996404033459091,0.8996362255169719,0.8996320476880344,0.899627869859097,0.8996248694156168,0.8996299045265328,0.8996349396374489,0.8996388169154128,0.8996426344166325,0.8996464519178522,0.899650269419072,0.8996540869202917,0.8996579044215114,0.8996617219227312,0.899665539423951,0.8996693569251707,0.8996722072826997,0.8996769866222171,0.8996832891531734,0.8996895916841297,0.8996958942150859,0.8997021967460423,0.8997084992769986,0.899711423977985,0.899714043860671,0.8997166637433571,0.8997192836260431,0.8997219035087292,0.8997245233914153,0.8997267999774623,0.8997181897163333,0.8997118683077139,0.8997070654200545,0.8997022625323952,0.8996974596447358,0.8996926567570764,0.8996878538694171,0.8996830509817577,0.8996816793704355,0.8996834449678659,0.8996852105652964,0.8996869761627267,0.8996887417601571,0.8996905073575876,0.8996922729550179,0.8996944698672305,0.899699043056218,0.8997037063283206,0.8997083696004233,0.8997130328725259,0.8997176961446285,0.8997223594167312,0.8997270226888339,0.8997295483938383,0.8997314767485545,0.8997334051032706,0.8997353334579865,0.8997372618127025,0.8997400241036894,0.8997448567439497,0.8997496893842102,0.8997545220244706,0.8997593546647311,0.8997640508462796,0.8997685754665454,0.8997731000868114,0.8997776247070772,0.8997820489703958,0.899786465983159,0.8997908829959224,0.8997953000086857,0.8997997170214489,0.8998041340342122,0.8998085510469754,0.8998129680597386,0.899817385072502,0.8998218020852653,0.8998245677967323,0.8998250789802615,0.899825590163791,0.8998261013473206,0.8998266125308501,0.8998276023408163,0.8998293594416851,0.899831116542554,0.8998328736434228,0.8998346307442915,0.8998363878451604,0.8998381449460293,0.8998399020468981,0.8998420309069874,0.8998474714781175,0.8998518289708457,0.8998506854436613,0.8998495419164767,0.8998483983892922,0.8998472548621077,0.8998461113349232,0.8998449678077387,0.8998438242805542,0.8998438810183924,0.8998487196189306,0.8998535582194689,0.8998583968200071,0.8998632354205454,0.8998680740210836,0.8998746203427208,0.8998815697043494,0.899888519065978,0.8998954684276066,0.8999024177892353,0.8999093671508639,0.8999163165124926,0.8999232658741212,0.8999285042174128,0.8999336100088485,0.8999387158002843,0.8999438215917202,0.899948927383156,0.8999521632126863,0.8999548897203276,0.8999576162279688,0.8999603427356098,0.8999630692432511,0.8999657957508922,0.8999686514103218,0.8999744945148402,0.8999803376193587,0.8999861807238771,0.8999920238283956,0.8999955861150157,0.8999965308211999,0.8999950921591611,0.899993653497122,0.899992214835083,0.8999907761730439,0.8999893375110048,0.8999878988489659,0.899986460186927,0.899985021524888,0.899983582862849,0.8999821442008099,0.899980705538771,0.8999792668767319,0.8999778282146929,0.8999766146690322,0.899980222909357,0.8999841625049856,0.8999881021006143,0.8999920416962429,0.8999959812918716,0.8999997805973737,0.9000034893030594,0.900007198008745,0.9000109067144306,0.9000146154201163,0.9000190512828957,0.9000243807071848,0.9000297101314738,0.900035039555763,0.900040368980052,0.9000456984043412,0.9000510278286302,0.9000562306106134,0.900061375643302,0.9000665206759908,0.9000716436215277,0.9000764511624666,0.9000812587034055,0.9000860662443444,0.9000908737852833,0.9000956813262222,0.9001004888671612,0.9001029492701869,0.9001042699548596,0.900102310953662,0.9000944653301579,0.9000866197066539,0.90007877408315,0.900070928459646,0.9000636192595625,0.9000613431382948,0.9000590670170271,0.9000567908957595,0.9000545147744918,0.9000522386532241,0.9000499625319565,0.9000584047340858,0.9000681321412595,0.9000778595484331,0.9000875869556069,0.9000973143627806,0.9001070417699543,0.9001105970114962,0.900107126273952,0.9001086008267778,0.9001180144954832,0.9001274281641884,0.9001372947900814,0.900147982960017,0.9001586711299524,0.9001693592998878,0.9001800474698233,0.9001907356397588,0.9002014238096943,0.9002121119796297,0.9002228001495651,0.9002334883195007,0.9002394483743998,0.9002416080480179,0.9002401695568994,0.9002387310657809,0.9002372925746625,0.900235854083544,0.9002356026115534,0.9002392237226153,0.9002428448336772,0.9002464659447391,0.900250087055801,0.9002537081668629,0.9002573292779248,0.9002609503889867,0.9002645715000486,0.9002681926111105,0.9002735900215568,0.9002831909510864,0.9002927918806163,0.9003025193357546,0.900312041368245,0.9003147772473401,0.9003175131264353,0.9003202490055304,0.9003229848846255,0.9003257207637205,0.9003284566428157,0.9003341322926096,0.9003443963900334,0.9003546604874572,0.9003649022654343,0.9003747868757377,0.9003846714860411,0.9003945560963442,0.9004044407066476,0.900414325316951,0.9004242099272544,0.9004340945375576,0.9004439791478609,0.9004528022837278,0.9004594719993346,0.9004687094821386,0.9004779469649424,0.9004802718562086,0.900475455568917,0.9004706392816253,0.9004658229943336,0.9004610067070419,0.9004561904197502,0.9004513741324585,0.9004450954852755,0.9004383013460291,0.9004315072067829,0.9004247130675366,0.9004116267056312,0.900399624737594,0.9003876227695569,0.9003756208015199,0.9003636188334827,0.9003516168654455,0.9003396148974084,0.9003276129293714,0.9003156109613342,0.9003039882482352,0.9002971743723924,0.9003074953233136,0.9003187404023815,0.9003299854814494,0.9003412305605173,0.9003524756395851,0.900363720718653,0.9003749657977209,0.9003862108767888,0.9003974559558567,0.9004087010349247,0.9004182132462,0.9004268381851566,0.9004354631241132,0.900427054906972,0.900432949455602,0.900442948244109,0.9004529470326157,0.9004611015502679,0.9004686787948214,0.9004762560393746,0.9004838332839282,0.9004914105284816,0.9004989877730349,0.9005065650175883,0.9005141422621417,0.900521719506695,0.9005275614774055,0.9005331022931554,0.9005386431089053,0.9005433397278261,0.9005457512901975,0.900547959137791,0.9005474353201861,0.9005462028467405,0.900544970373295,0.9005437378998495,0.900542505426404,0.9005412729529585,0.9005420409196249,0.9005447841780794,0.9005475274365339,0.9005502706949884,0.9005560083974231,0.9005621661230967,0.9005683238487705,0.9005744815744441,0.9005806393001179,0.9005760962510726,0.9005707474538276,0.9005653986565825,0.9005600498593376,0.9005547010620923,0.9005493522648473,0.9005440034676023,0.9005386546703573,0.9005339017763498,0.9005256799298234,0.9005172737177967,0.90050886750577,0.9005004612937433,0.9004920550817166,0.90048364886969,0.9004752426576634,0.9004668364456367,0.90045843023361,0.9004493388358608,0.9004392619551755,0.90042918507449,0.9004191081938047,0.9004090313131192,0.9003989544324338,0.9003926792128356,0.9003876975164746,0.9003853060882903,0.9003829146601058,0.9003805232319213,0.9003781318037368,0.9003757403755523,0.900373348947368,0.9003709575191834,0.900368566090999,0.9003661746628145,0.9003638224947387,0.9003615350964604,0.9003592476981821,0.9003569602999038,0.9003572579549668,0.9003581583149296,0.9003588934693254,0.9003635126884544,0.9003708312063928,0.9003780605386014,0.9003852898708102,0.9003925192030189,0.9003997485352275,0.9004070767957524,0.9004145934242895,0.9004221100528266,0.9004296266813636,0.9004371433099007,0.9004416786179815,0.9004448047783196,0.900447881019136,0.9004509572599524,0.9004540335007689,0.9004571097415854,0.900460185982402,0.9004632622232184,0.9004663384640349,0.9004694147048514,0.9004724909456678,0.9004755671864844,0.9004786434273008,0.9004819725657383,0.9004858764071979,0.9004915617117524,0.9004972470163067,0.9005029323208612,0.9005086176254156,0.90051430292997,0.9005199882345245,0.9005279114732291,0.9005361532979248,0.9005443951226206,0.9005526369473164,0.9005563540943251,0.9005588366387123,0.9005605566356626,0.9005622766326129,0.9005637652126516,0.9005567338284881,0.9005497024443248,0.9005426710601615,0.900535639675998,0.9005286082918347,0.9005215769076713,0.900514545523508,0.9005075141393446,0.9005004827551812,0.9004982546163911,0.9004991823867148,0.9004994945337186,0.9004998066807222,0.900500118827726,0.9005068891314812,0.9005153529836367,0.9005238168357921,0.9005304953105067,0.9005334657079164,0.9005364361053261,0.9005394065027359,0.9005423769001456,0.9005451160707052,0.9005473960086072,0.9005496759465094,0.9005519558844113,0.9005558385877989,0.9005610829239505,0.9005663124999684,0.900571497092026,0.9005766816840837,0.9005818662761411,0.9005870508681988,0.9005922354602562,0.9005974200523137,0.9006027941102357,0.9006082085088758,0.9006136229075159,0.9006123077495609,0.9006088012414653,0.9006052947333694,0.9006017882252737,0.9005982817171778,0.9005947752090822,0.9005912687009864,0.9005884247421974,0.9005874292003049,0.9005864336584124,0.90058543811652,0.9005844425746276,0.9005834470327351,0.9005824514908427,0.9005874704305052,0.9005946951336432,0.900601919836781,0.9006091445399189,0.9006161624276847,0.9006112139293783,0.9006062654310716,0.9006013169327649,0.9005969198999177,0.9005935103143601,0.9005901007288024,0.9005866911432447,0.9005832815576871,0.9005798719721294,0.9005764623865717,0.9005698507168498,0.9005616644019521,0.9005534780870543,0.9005452917721567,0.900537105457259,0.9005277946217249,0.9005153231118641,0.9005014589568583,0.9004875948018524,0.9004737306468464,0.900467860226529,0.9004683255159387,0.9004687908053484,0.900469256094758,0.9004697213841676,0.9004701866735771,0.9004706519629868,0.9004711172523965,0.9004714515525685,0.9004705132853517,0.9004695750181351,0.9004698313304704,0.900470418121184,0.9004710049118976,0.9004715917026112,0.9004748498180103,0.9004802634283735,0.9004856644051422,0.9004910060860392,0.900496347766936,0.9005004772171074,0.9004973606476901,0.9004941432595142,0.9004909258713383,0.9004853079976819,0.9004727631440879,0.9004602182904939,0.9004476734368998,0.900442089414204,0.9004382023667004,0.9004332594487134,0.9004283160801784,0.9004233727116433,0.9004205917786002,0.9004189943877339,0.9004173969968675,0.9004157996060012,0.9004142022151347,0.9004126048242684,0.900411007433402,0.9004094100425356,0.9004012721465793,0.9003860054633857,0.9003707387801922,0.9003520678233378,0.9003423445070866,0.9003429418255693,0.9003435391440522,0.9003441364625351,0.900344733781018,0.900345331099501,0.9003459284179838,0.9003465257364667,0.9003464965584842,0.9003424957350807,0.9003384949116771,0.9003344940882735,0.9003305205184353,0.9003269671532701,0.9003230704317471,0.9003191737102242,0.9003181795736288,0.9003199897797232,0.9003217999858174,0.9003236101919118,0.900325420398006,0.9003272306041004,0.9003263383853155,0.9003248011053261,0.9003232638253367,0.9003217265453471,0.90031161460561,0.9002987107216649,0.90028580683772,0.9002729029537749,0.9002599990698298,0.9002470951858847,0.9002341913019397,0.9002212874179947,0.9002083835340497,0.9002022121066873,0.9001970997184607,0.9001917381143822,0.9001890946016988,0.9001966455094546,0.9002041964172104,0.9002117473249662,0.9002192982327222,0.900226849140478,0.9002340379870856,0.9002362614653665,0.9002384849436476,0.9002407084219286,0.9002429319002097,0.9002432781533997,0.9002397389187622,0.9002361996841246,0.900232660449487,0.9002291212148494,0.9002262831767369,0.9002240089748903,0.9002217347730437,0.9002194605711972,0.9002171863693507,0.9002149121675039,0.9002126379656574,0.9002103637638107,0.9002075414748495,0.9001972243710437,0.9001869072672377,0.900176590163432,0.900166273059626,0.9001559559558201,0.9001456388520144,0.9001369305376037,0.9001388980089499,0.900140865480296,0.900142832951642,0.9001448004229882,0.9001467678943342,0.9001497275803856,0.9001552768857948,0.9001608261912042,0.9001663754966134,0.9001627646252531,0.9001677516321167,0.9001734296620512,0.9001791076919856,0.9001847857219201,0.9001904637518544,0.9001921846273876,0.9001934549834554,0.900194725339523,0.900188298980306,0.9001788850073018,0.9001694710342977,0.9001600570612934,0.9001511909324915,0.9001503829439994,0.9001495749555071,0.900148766967015,0.9001479589785226,0.9001471509900305,0.9001497200964259,0.9001554087958864,0.9001610974953467,0.9001667861948073,0.9001724748942677,0.900178163593728,0.9001861554241429,0.9001948881321757,0.9002036208402084,0.9002092584733474,0.9002086837390799,0.9002081090048123,0.9002075342705447,0.9002069595362772,0.9002063848020094,0.9002058100677418,0.9002052353334742,0.9002046605992065,0.9002040858649389,0.9002035111306713,0.9002021726702203,0.9001861813302723,0.9001688635683268,0.9001487336271928,0.9001270021666707,0.9001052707061485,0.9000948547386531,0.9000915367082742,0.9000925863243805,0.9000939863866559,0.900095397895346,0.9000968143864438,0.9000901095060083,0.9000831983476114,0.900066547432128,0.9000498965166446,0.9000332456011612,0.9000165946856777,0.8999999437701944,0.8999832928547109,0.8999678286432644,0.8999550138658895,0.8999421990885146,0.8999293843111396,0.8999165695337645,0.8999037547563896,0.8998991930163692,0.8998952740966553,0.8998911239786592,0.899885967582022,0.8998818272539122,0.8998844450397192,0.8998870628255262,0.8998896806113332,0.8998922976830739,0.8998949116281609,0.8998975255732478,0.8999001395183348,0.8999038975358713,0.8999119351800431,0.8999199728242148,0.8999280104683864,0.8999360481125582,0.8999394220710495,0.8999370010305696,0.8999345799900899,0.8999321589496101,0.8999297379091302,0.8999273168686505,0.8999232324886297,0.8999134574155827,0.8999036823425357,0.8998939072694887,0.8998841321964417,0.8998743571233947,0.8998645820503477,0.8998548069773007,0.8998441184317775,0.8998345453738787,0.8998249723159801,0.8998153992580815,0.8998081090407398,0.8998052240254668,0.8998023390101937,0.8997994539949208,0.8997965689796477,0.8997936839643745,0.8997907989491015,0.8997879139338285,0.8997850289185554,0.8997818944257667,0.8997784790895167,0.8997758029021508,0.8997743668666597,0.8997729308311686,0.8997705534055023,0.8997690692316158,0.8997744321287567,0.8997797950258977,0.8997851579230387,0.8997902804814916,0.8997950316746817,0.8997997828678718,0.8998045340610619,0.8998092852542521,0.8998140364474422,0.8998234669751276,0.8998344302102688,0.8998453733597989,0.8998526177321313,0.8998598621044638,0.8998671064767961,0.8998718479759573,0.8998755216405787,0.8998791953052,0.8998828689698214,0.8998865532461535,0.8998914077100141,0.8998962621738746,0.8999011166377351,0.8999059711015956,0.8999108255654562,0.8999156800293168,0.8999205344931773,0.8999223629043644,0.8999133575747009,0.8999041773869841,0.8998942567117911,0.8998844882943873,0.8998747198769832,0.8998649514595793,0.8998551830421755,0.8998454146247716,0.8998356462073678,0.8998258777899639,0.8998249654014501,0.8998240627671861,0.8998231601329221,0.8998194554255172,0.8998151331697011,0.8998108109138852,0.899806488658069,0.8998021664022529,0.8997978441464369,0.8997962690557779,0.8997959208990263,0.8997955727422748,0.8997952245855232,0.8997948764287717,0.8997945607254816,0.899794249308921,0.8997939378923606,0.8997936264758002,0.8997933150592397,0.8997930036426792,0.8997926922261188,0.8997923808095584,0.8997920693929979,0.8997917579764374,0.8997941187337222,0.8997947640355686,0.8997886433585326,0.8997825226814968,0.899776402004461,0.8997702813274251,0.8997641606503891,0.8997580399733534,0.8997519192963174,0.8997457986192815,0.8997483742024863,0.8997489351101415,0.8997492128538063,0.899749490597471,0.8997497683411357,0.8997500460848005,0.8997503238284652,0.8997506015721299,0.8997508793157947,0.8997511570594594,0.8997514348031241,0.8997517125467889,0.8997519902904535,0.8997518413294789,0.8997501626675639,0.8997484840056491,0.8997468053437341,0.899734457117547,0.8996972243397017,0.8996599915618567,0.8996218140374571,0.8995803288497496,0.8995389578419084,0.8995252773284432,0.8995257937514944,0.8995263101745455,0.8995268265975966,0.8995273430206477,0.8995278594436988,0.8995283758667499,0.899528892289801,0.8995294087128521,0.8995108503297407,0.8994906685576269,0.8994704867855132,0.8994503050133997,0.899430123241286,0.8994099414691723,0.8993970472561748,0.899392492613778,0.8993861049748806,0.8993795347120219,0.899372910365687,0.8993662505267759,0.8993606351028417,0.8993552365363624,0.899349837969883,0.8993444394034038,0.8993390408369244,0.8993336422704451,0.8993289058624698,0.8993276185195933,0.8993263311767168,0.89932504383384,0.8993237564909634,0.8993224691480869,0.8993206717857531,0.8993184322533381,0.8993161927209231,0.8993136901397332,0.8993111811733072,0.899308672206881,0.8993061632404551,0.8993036542740291,0.899300621600527,0.8992934727397653,0.8992863238790036,0.8992721739508829,0.8992622250935807,0.899267163047369,0.8992721010011571,0.899277041113958,0.899282001760771,0.8992869624075841,0.899291923054397,0.8992968837012101,0.8993018443480232,0.8993068049948361,0.8993117656416492,0.8993167262884623,0.8993216869352751,0.8993266475820882,0.8993316082289013,0.8993364642607868,0.8993413061560458,0.8993452848437112,0.8993442183188806,0.89934315179405,0.8993420852692193,0.8993410187443888,0.8993399522195582,0.8993388856947275,0.8993378191698969,0.8993367526450663,0.8993356861202357,0.8993397058633132,0.8993447356767066,0.8993497654900998,0.899354795303493,0.899356231535928,0.8993514985498463,0.8993467655637647,0.8993420325776829,0.8993372856891976,0.8993314633467978,0.8993256410043982,0.899318096544764,0.8993055400240085,0.8992929835032533,0.8992835702198085,0.8992788448071536,0.8992741193944986,0.8992693939818437,0.8992646685691887,0.8992599431565338,0.8992543443327234,0.8992472884292773,0.899240232525831,0.8992329500294709,0.8992269022215219,0.8992255937395008,0.8992237904432283,0.8992217065378467,0.8992196226324652,0.8992175387270838,0.8992154548217023,0.8992146575340261,0.8992196576678939,0.8992263800661888,0.8992332606528552,0.8992401412395217,0.899247021826188,0.8992539024128544,0.8992607829995207,0.8992676635861871,0.8992745441728536,0.89928142475952,0.8992883053461864,0.8992851514672893,0.8992814975415997,0.8992784504583395,0.8992751913806977,0.8992709544352907,0.8992737419354819,0.8992771078647752,0.8992804737940684,0.8992838397233616,0.8992872056526549,0.8992960577535207,0.8993051116004593,0.899314165447398,0.8993232192943366,0.8993322731412752,0.8993413269882138,0.8993500734592301,0.8993472889814598,0.8993441012143378,0.8993409134472159,0.8993370139398928,0.8993328119163854,0.8993286098928779,0.8993348434537138,0.8993419503412838,0.8993490572288538,0.8993561641164237,0.8993632710039937,0.8993703778915636,0.8993774847791336,0.8993582954498904,0.8993562945823887,0.8993641235513994,0.8993719525204098,0.8993797814894202,0.8993876104584307,0.8993954394274413,0.8994032683964517,0.8994110973654622,0.8994189263344727,0.8994265003741481,0.8994330938115089,0.8994396872488699,0.8994431614773335,0.8994408579204907,0.8994385543636477,0.899436250806805,0.8994392810012712,0.8994433751020141,0.899447469202757,0.8994515633034998,0.8994532410325348,0.8994530143154256,0.8994527875983163,0.899452560881207,0.8994523341640976,0.8994518968420484,0.8994461231666826,0.8994433581550505,0.8994433367370849,0.8994433153191193,0.8994432939011539,0.8994432724831882,0.8994454742996093,0.8994502670663094,0.8994550598330093,0.8994598525997095,0.8994646453664095,0.8994694381331096,0.8994742308998096,0.8994781799208194,0.8994802200341994,0.8994822601475791,0.8994843002609592,0.8994863403743392,0.899488380487719,0.899490420601099,0.8994924607144789,0.899496072380812,0.8995002082636855,0.8995043441465589,0.8995084800294324,0.8995126159123059,0.8995167517951794,0.8995208876780529,0.8995250235609262,0.8995291594437997,0.8995267701897538,0.8995230706015171,0.8995193710132805,0.899515671425044,0.8995119718368073,0.8995082722485708,0.8995045726603341,0.8995008730720975,0.899496716047222,0.8994867493745329,0.8994743755734056,0.8994633296518293,0.8994618528051717,0.8994410172959039,0.8994182352902287,0.8993954532845536,0.8993726712788785,0.8993498892732035,0.8993280874886691,0.8993158172140115,0.8993035469393541,0.8992912766646968,0.8992967543766934,0.8993066968991785,0.8993166394216638,0.8993265819441489,0.8993365244666341,0.8993212478930611,0.8993050869902084,0.8992889260873556,0.8992727651845027,0.8992561509568924,0.8992372784605148,0.8992184059641373,0.8992149242846301,0.8992183650249753,0.89922001622089,0.8992081226862114,0.899196229151533,0.8991843356168546,0.8991724420821762,0.8991634322436748,0.899157417279901,0.8991509216615111,0.8991373252418218,0.8991031197221612,0.8990679256873136,0.8990325073180705,0.8989970889488275,0.8989670568367569,0.8989473805699264,0.8989277043030958,0.8989080280362651,0.8988883517694345,0.8988740564731281,0.8988658960580977,0.8988577356430675,0.8988495752280372,0.898841414813007,0.8988332543979766,0.8988250939829463,0.8988169335679159,0.8988129737093349,0.8988194771329858,0.8988259805566368,0.8988364417708186,0.8988471243110774,0.8988578068513362,0.8988684893915949,0.8988791719318537,0.8988757371410261,0.898867198897262,0.8988586606534978,0.8988501224097338,0.8988409866631607,0.8988303943265795,0.8988154637128639,0.8987985108542178,0.8987944644755161,0.8987983605174759,0.8988022565594354,0.898806152601395,0.8988114057999192,0.8988203814030462,0.8988293570061734,0.8988383326093004,0.8988473082124275,0.8988562838155547,0.8988652594186817,0.8988742350218089,0.8988832106249359,0.8988921862280631,0.8989004470718007,0.8989064351272239,0.8989124231826469,0.8989184112380701,0.8989243992934931,0.8989303873489163,0.8989363754043393,0.8989436272997364,0.8989515784928858,0.8989595296860352,0.8989657462809739,0.8989711750289981,0.8989766037770225,0.8989820325250468,0.898987461273071,0.8989928900210953,0.8989983187691197,0.899003747517144,0.8990091762651682,0.8990146050131925,0.899016788784734,0.899018221338016,0.899019653891298,0.899023755341359,0.8990305530186362,0.8990373506959134,0.8990441483731905,0.8990380049752262,0.899022838544172,0.8990076721131177,0.8989925056820636,0.8989773392510094,0.8989621728199553,0.8989470063889009,0.8989320485549706,0.8989173389734115,0.8989026293918523,0.8988689576187167,0.8988401253521342,0.8988197207933083,0.8987993162344825,0.89878692449936,0.8987857378930864,0.8987845512868129,0.8987833646805394,0.898782178074266,0.8987809914679924,0.8987798048617189,0.8987665720856826,0.8987526320535254,0.8987386920213681,0.898724751989211,0.8987101937874471,0.8987005047467281,0.8986908157060092,0.8986811266652902,0.8986714376245712,0.8986617485838523,0.8986412145221443,0.8986019979589202,0.898562781395696,0.898552615842948,0.8985457817388025,0.8985389476346572,0.8985321135305118,0.8985313537799942,0.8985305987813261,0.8985298437826581,0.89852908878399,0.8985283337853218,0.8985275787866538,0.8985268237879858,0.8985168688034665,0.8985021833244901,0.8984869547894025,0.898471726254315,0.8984564977192275,0.8984472839595019,0.8984420516483277,0.8984368193371535,0.898434367014534,0.8984320542866726,0.8984297415588112,0.8984274288309498,0.8984251161030885,0.8984228033752271,0.8984204906473656,0.8984181779195042,0.8984158651916428,0.8984213767584104,0.8984207064745484,0.8984188965099669,0.8984170865453853,0.8984218205627101,0.8984283625268958,0.8984349044910813,0.898441446455267,0.8984443951231889,0.8984441995218926,0.8984440039205961,0.8984438083192996,0.8984436127180031,0.8984434171167067,0.8984515881705575,0.898459797423145,0.8984680066757326,0.8984762159283202,0.8984844251809077,0.8984925977114686,0.8984980072701427,0.8985021637685557,0.8985063202669685,0.8985104767653815,0.8985146332637944,0.8985187897622073,0.8985229462606202,0.8985271027590331,0.8985312592574459,0.8985354157558589,0.8985395722542717,0.8985437287526847,0.8985480887970593,0.8985555115208117,0.8985629342445642,0.8985703569683168,0.8985777796920693,0.8985846694152144,0.89859147576139,0.8985982821075656,0.8986050884537413,0.8986118947999168,0.8986187011460924,0.898625507492268,0.898632694466045,0.8986404798698454,0.8986482652736458,0.8986560506774464,0.8986638360812467,0.8986715636674925,0.8986790998199781,0.8986866359724637,0.8986931443368145,0.8986991981226901,0.8987052519085659,0.8987113056944416,0.8987173594803174,0.8987234132661931,0.8987297286307281,0.8987379864801539,0.8987446513996952,0.8987406301931828,0.8987366089866706,0.8987325877801584,0.8987285665736461,0.8987245453671338,0.8987191745768819,0.8987131560661236,0.8987063888164928,0.8987108005755831,0.8987156903750853,0.8987205801745872,0.8987254699740892,0.8987162429517714,0.8986996528984272,0.8986864041265128,0.8986892168825185,0.8986920296385241,0.8986948423945298,0.8986976551505355,0.8987004679065412,0.898703280662547,0.8987060934185527,0.8987089061745583,0.898711499080111,0.8987127670677694,0.8987140350554277,0.898715303043086,0.8987165710307443,0.8987178390184026,0.8987191070060608,0.8987203749937192,0.8987222618830828,0.8987264236593557,0.8987302494479692,0.8987339715443338,0.8987376936406983,0.898741415737063,0.8987420891027678,0.8987401853964125,0.8987382816900574,0.8987363779837023,0.8987344742773471,0.8987325705709921,0.8987306668646369,0.8987287631582818,0.8987256515778868,0.8987206238133882,0.8987166734567951,0.8987127231002017,0.8987087727436085,0.8987048223870153,0.898697574098411,0.8986848274127062,0.8986720807270012,0.8986593340412962,0.8986465873555913,0.8986338406698864,0.8986210939841816,0.8986083472984766,0.8985956006127718,0.8985828539270668,0.8985701072413619,0.8985652261858956,0.8985608034862576,0.8985563807866193,0.8985529103990428,0.8985588197525692,0.8985647291060954,0.8985706384596217,0.898576547813148,0.8985824571666743,0.8985883665202007,0.8985942758737269,0.8986001852272532,0.8986060945807794,0.8986105976909575,0.8986136363674084,0.8986166750438593,0.8986196375779963,0.8986225441928327,0.8986254508076692,0.8986283574225056,0.898631264037342,0.8986341706521783,0.8986370772670147,0.8986399838818511,0.8986428904966874,0.8986457971115238,0.8986487037263602,0.8986516103411966,0.8986554944233884,0.898660111641862,0.8986647288603355,0.898669346078809,0.8986739632972826,0.8986785805157562,0.8986831977342296,0.8986878149527031,0.8986924321711767,0.8986970493896502,0.8987016666081237,0.8987062838265973,0.8987109010450707,0.8987155182635442,0.8987201354820178,0.8987247527004913,0.8987315347190261,0.8987362250601734,0.8987409154013206,0.8987456057424679,0.8987500711565515,0.8987541946227651,0.8987583180889787,0.8987624415551924,0.898766565021406,0.8987706884876197,0.8987748119538332,0.8987749958381843,0.8987717771447463,0.8987685584513083,0.8987653397578705,0.8987621210644325,0.8987589023709945,0.8987556836775566,0.8987519696765621,0.8987481666729107,0.8987443636692592,0.8987405606656078,0.8987367576619563,0.8987329546583047,0.8987291516546533,0.8987253486510018,0.8987230111618806,0.8987272134348641,0.8987314157078474,0.8987356179808308,0.8987398202538142,0.8987440225267975,0.898748224799781,0.8987524270727644,0.8987584724101414,0.8987643327901178,0.8987701931700942,0.8987760535500705,0.898781913930047,0.8987877743100233,0.8987936346899996,0.898799495069976,0.8988053554499524,0.8988112158299288,0.8988170762099053,0.8988229365898817,0.8988275862040076,0.8988319783181717,0.8988363704323358,0.8988337694876531,0.8988309262450824,0.8988280830025119,0.8988252397599411,0.8988223965173705,0.8988195532747997,0.8988167100322291,0.8988138667896585,0.8988110235470876,0.898808180304517,0.8988053370619462,0.8988024938193757,0.898799273501356,0.8987959610834951,0.8987926486656344,0.898790128788771,0.898788150907061,0.8987861730253508,0.8987841951436407,0.8987822172619306,0.8987812927027157,0.8987858452674942,0.8987903978322727,0.8987949503970512,0.8987995029618298,0.8988013140964077,0.8987926496833015,0.8987839852701953,0.8987753208570891,0.8987666564439829,0.8987579920308766,0.8987481452844531,0.8987333178765481,0.8987184904686432,0.8987036630607381,0.8986888356528332,0.8986740082449283,0.8986735952705688,0.898674798513661,0.8986824667940774,0.8986901350744938,0.89869780335491,0.8987054716353264,0.8987024565522383,0.8986991869023122,0.8986959172523861,0.8986926476024599,0.8986893779525339,0.8986861083026078,0.8986828386526817,0.8986785954349088,0.89867289161184,0.8986671877887715,0.8986614839657028,0.8986569100825588,0.8986556599321416,0.8986544097817244,0.8986531596313072,0.89865190948089,0.8986506593304728,0.8986299021233203,0.8986016880126044,0.8985734739018887,0.898545259791173,0.898516065117622,0.8984853251142818,0.8984545851109416,0.8984382033565219,0.8984406414569728,0.8984430795574238,0.8984469088643565,0.8984508084422841,0.8984547080202117,0.8984586075981391,0.8984625071760666,0.8984664067539943,0.8984703063319217,0.8984742059098492,0.8984781054877767,0.8984820152280051,0.898486112078582,0.8984902089291589,0.8984943057797357,0.8984984026303126,0.8985014394656816,0.8984995160523679,0.8984960914934602,0.8984926669345525,0.8984892423756448,0.8984858178167371,0.8984823932578294,0.8984789686989216,0.8984758701895666,0.898475344961025,0.8984748197324834,0.8984742945039419,0.8984737692754003,0.8984732440468588,0.8984740170019914,0.8984760176455255,0.8984780182890595,0.8984800189325937,0.8984820195761278,0.8984840674531422,0.8984883977061129,0.8984927279590837,0.8984970582120544,0.8985013884650253,0.8985057187179959,0.8985100489709668,0.8985079073944691,0.8984947879262524,0.8984816684580357,0.898468548989819,0.8984554295216023,0.8984423100533856,0.8984291905851689,0.8984114024270402,0.8983820430897294,0.8983526837524184,0.8983233244151074,0.8982939650777966,0.8982646057404857,0.8982378568554522,0.898229259279661,0.8982206617038699,0.8982120641280789,0.8982034665522877,0.8981948689764965,0.8981981612692732,0.8982082216284286,0.898218281987584,0.8982283423467394,0.8982384027058947,0.8982484630650501,0.8982585234242055,0.898268583783361,0.8982786441425163,0.8982887045016716,0.8982987648608272,0.8983088252199826,0.8983188855791379,0.8983289459382933,0.8983386481391517,0.898347562413872,0.8983564766885923,0.8983653909633127,0.8983708374132697,0.8983753157066412,0.8983797940000129,0.8983842722933845,0.898388750586756,0.898393669438355,0.898400451638391,0.898407233838427,0.8984140160384628,0.8984207982384989,0.8984275804385348,0.8984343626385708,0.8984411448386068,0.8984479270386427,0.8984547092386788,0.8984612223690338,0.8984676555403043,0.8984740887115747,0.8984805218828453,0.8984869550541159,0.8984937314752774,0.89850128658635,0.8985088416974224,0.8985163968084948,0.8985239519195672,0.8985315070306397,0.8985394839644893,0.8985492712717422,0.898559058578995,0.8985688458862477,0.8985786331935006,0.8985860770791116,0.8985916608327646,0.8985942516680483,0.8985961616308651,0.8985980715936819,0.8985999815564987,0.8986020074725102,0.8986066202042671,0.8986112329360241,0.8986158456677811,0.8986204583995381,0.8986250711312951,0.8986296838630521,0.8986342965948091,0.8986389093265661,0.898643522058323,0.8986481347900801,0.8986527475218371,0.898657360253594,0.8986568427370023,0.8986547644242737,0.8986526861115451,0.898649853372512,0.8986448100661737,0.8986382504024373,0.8986316907387009,0.8986251310749646,0.8986185714112281,0.8986135348448547,0.8986084999648665,0.8986034650848782,0.8985984302048899,0.898597550392615,0.8986001282544668,0.8986027061163187,0.8986052839781704,0.8986078618400223,0.8986104397018742,0.8986130175637259,0.898610721729121,0.8986073581411496,0.8986039945531779,0.8986006309652064,0.898598489904572,0.8985967570667892,0.8985950242290066,0.898593291391224,0.8985915585534415,0.8985898257156589,0.8985880928778762,0.8985871686414776,0.898588947249868,0.8985884275544047,0.8985833593082635,0.8985782910621223,0.8985732228159811,0.89856815456984,0.8985630863236989,0.8985580180775576,0.8985529498314164,0.8985478815852752,0.8985428133391341,0.8985378903277326,0.8985347201519633,0.8985315499761941,0.8985283798004249,0.8985252096246557,0.8985205185145743,0.89851212783876,0.8985037371629458,0.8984953464871315,0.8984869558113172,0.898478565135503,0.8984701744596886,0.8984617837838744,0.89845339310806,0.8984450211555757,0.8984445155832013,0.8984440100108267,0.8984435044384522,0.8984428517153344,0.8984378896437546,0.8984329275721749,0.8984279655005951,0.8984230034290153,0.8984180413574356,0.8984130792858558,0.8984075226312008,0.8984025219724927,0.8984030399028071,0.8984035578331213,0.8984040757634357,0.8984045936937499,0.8984091212670793,0.8984139442703909,0.8984187672737027,0.8984235902770144,0.8984284132803261,0.8984350922874793,0.898442812690448,0.8984505330934166,0.8984582534963852,0.8984651400726094,0.8984719967340165,0.8984788533954237,0.898485363357354,0.8984917526611932,0.8984981419650324,0.8985045312688718,0.8985109205727111,0.898516952088289,0.8985220539372191,0.8985271557861492,0.8985322576350793,0.8985373594840094,0.8985424613329395,0.8985475631818696,0.8985539068861692,0.8985613540216446,0.8985663701158322,0.8985713003199016,0.8985762305239711,0.8985811607280406,0.8985860909321102,0.8985910211361796,0.8985959513402492,0.898600394576124,0.898604162005459,0.8986066571328167,0.8986086993242142,0.8986107415156117,0.898612783707009,0.8986148258984066,0.8986168680898039,0.8986189102812014,0.8986149468450879,0.8986081691619867,0.8986013914788855,0.8985946137957845,0.8985873507309994,0.8985784801747931,0.8985696096185869,0.8985607390623807,0.8985518685061744,0.8985429979499684,0.8985341273937621,0.8985252568375559,0.8985206028394133,0.8985242814378349,0.8985279600362568,0.8985316386346787,0.8985351615753844,0.8985365554228343,0.8985379492702842,0.8985393431177342,0.898540736965184,0.898542130812634,0.8985435246600839,0.8985447182520572,0.8985455287174364,0.8985427489012878,0.8985396842487603,0.8985366195962328,0.8985335549437053,0.8985304902911779,0.8985274256386504,0.8985212762851056,0.8985132749754009,0.8985052736656962,0.8984972723559915,0.8984892710462868,0.8984812697365822,0.8984718157462276,0.898460958477324,0.8984533961254426,0.898445833773561,0.8984382714216795,0.898430709069798,0.8984231467179166,0.8984155843660349,0.8984080220141535,0.898400459662272,0.8983928973103905,0.8983919725803611,0.8983968585408291,0.8984017445012971,0.8984066304617649,0.8984115164222328,0.8984164023827008,0.8984212883431688,0.8984261743036367,0.8984237061982869,0.8984167808546042,0.8984098781796437,0.8984029755046834,0.8983960728297228,0.8983891701547624,0.8983822674798019,0.8983753648048414,0.8983684621298809,0.898363279081613,0.8983511243330418,0.8983389695844706,0.8983268148358994,0.8983146600873283,0.8983025053387572,0.898290350590186,0.8982781958416148,0.8982749106569251,0.8982769542732554,0.8982824863958561,0.8982887581092656,0.8982950298226751,0.8983013015360845,0.8983075732494938,0.8983138449629033,0.8983201166763128,0.8983263883897221,0.8983337318819753,0.8983431828938843,0.8983526339057931,0.89836099126438,0.8983686717997754,0.8983763523351708,0.8983840328705662,0.8983909758950277,0.8983769545970337,0.8983629332990397,0.8983402903906146,0.8983170639315834,0.8982938374725524,0.8982706110135212,0.8982692645999732,0.8982684481710181,0.8982676317420628,0.8982668153131076,0.8982659988841524,0.898265182455197,0.8982722665305645,0.8982807631020898,0.8982892596736153,0.8982977562451406,0.8983062528166661,0.8983147493881914,0.8983232459597168,0.8983313008211709,0.8983385306504434,0.898345760479716,0.8983529903089886,0.8983602201382612,0.8983674499675338,0.8983746797968064,0.8983765749812846,0.8983735996473219,0.8983706243133593,0.8983663907431143,0.8983616165758834,0.8983568424086525,0.8983520682414217,0.8983472940741907,0.8983425199069599,0.8983373229765271,0.8983316287615082,0.8983259345464893,0.8983209922998718,0.8983240892001986,0.8983297551652603,0.8983354211303219,0.8983410870953836,0.8983467530604453,0.898352419025507,0.8983580849905686,0.8983637509556303,0.8983694169206919,0.8983750828857535,0.8983798865328803,0.8983831005441614,0.8983863145554425,0.8983903474166337,0.8983954279141055,0.8984005084115771,0.8984055889090488,0.8984106694065205,0.8984160421271132,0.8984228310272173,0.8984296199273213,0.8984332948026612,0.8984369400823469,0.8984405853620324,0.898444230641718,0.8984478759214036,0.8984515212010893,0.898455166480775,0.8984588117604605,0.8984624570401463,0.8984661023198318,0.8984697475995174,0.898473309565045,0.8984752522046788,0.8984763303507808,0.8984774084968825,0.8984784866429844,0.8984795647890862,0.8984806429351881,0.89848172108129,0.8984827992273918,0.8984838773734938,0.8984863042102512,0.8984894501747647,0.8984925961392781,0.8984957421037916,0.8984988880683051,0.8984976367705032,0.898493419235729,0.8984892017009549,0.8984849841661808,0.8984807666314067,0.8984755679670097,0.8984702185640652,0.8984640588498469,0.8984624351202443,0.8984608867106201,0.8984593383009959,0.8984577898913717,0.8984562414817474,0.8984546930721233,0.8984531446624991,0.898451596252875,0.8984496632571388,0.8984461087472608,0.8984425542373831,0.8984389997275051,0.8984354452176273,0.8984318907077493,0.8984283361978715,0.8984232167230555,0.8984155646492129,0.8984136418215916,0.8984121666870614,0.8984106915525312,0.8984092164180011,0.898407741283471,0.8984065017842904,0.8984053631830593,0.8984034490127865,0.8984015348425136,0.8983996206722409,0.8983977065019679,0.8983957923316952,0.8983938781614225,0.8983919639911496,0.8983957100665088,0.8984015675212171,0.8984074249759255,0.8984132824306339,0.8984191398853423,0.8984252667210282,0.8984318069627846,0.8984361873730536,0.8984373090864792,0.8984384307999049,0.8984395525133306,0.8984406742267563,0.8984417959401819,0.8984429176536075,0.8984440393670332,0.8984451610804589,0.8984462827938845,0.8984474045073101,0.8984485262207358,0.8984496479341615,0.8984525203463036,0.8984554193161332,0.8984584653517462,0.8984616737942944,0.8984648822368426,0.8984680906793907,0.8984712991219388,0.8984745075644869,0.8984777160070351,0.8984835414970322,0.8984896644447262,0.89849578739242,0.898501910340114,0.8985080332878077,0.8985140588904926,0.898520049579945,0.8985260402693973,0.8985320309588497,0.8985380216483021,0.8985438332746397,0.8985462936470814,0.8985487540195232,0.8985513455325891,0.898553949183311,0.8985565528340329,0.8985591564847548,0.8985615102213583,0.8985637934045849,0.8985665553398983,0.8985700740742134,0.8985735928085286,0.8985771115428438,0.8985802047567608,0.8985797156339016,0.8985792265110424,0.8985787373881833,0.8985782482653242,0.898577759142465,0.8985772700196057,0.8985767808967466,0.898576582265231,0.8985794966363523,0.8985840550359653,0.8985886134355783,0.8985931718351914,0.8985977302348045,0.8986022886344174,0.8986068470340305,0.8986114054336434,0.8986159638332565,0.8986205222328696,0.8986250806324825,0.8986296390320956,0.8986341974317086,0.8986387558313217,0.8986423611226031,0.8986453670393457,0.8986483729560882,0.8986513788728308,0.8986543847895734,0.8986573907063158,0.8986603966230584,0.8986634025398008,0.8986664084565434,0.898669414373286,0.8986724202900285,0.8986754262067711,0.8986784321235135,0.898681438040256,0.8986844439569985,0.8986867751905545,0.8986886283220259,0.8986919735066716,0.8986953186913172,0.8986986638759629,0.8987020090606085,0.8987053542452541,0.8987086994298997,0.8987120446145453,0.8987153897991911,0.8987187349838366,0.8987220801684823,0.8987245295504616,0.8987248141117254,0.8987247607269204,0.8987237271919666,0.8987226936570127,0.8987216381405834,0.8987202367705578,0.8987189970887046,0.8987177574068514,0.8987165177249983,0.8987152780431449,0.8987140383612917,0.8987118422258984,0.8987086999504159,0.8987055576749333,0.8987024153994508,0.8986992731239684,0.8986961308484858,0.8986929885730033,0.8986901586240656,0.8986907471232252,0.8986910413226306,0.8986913355220361,0.8986916297214413,0.8986919239208467,0.8986922181202521,0.8986925123196575,0.8986928065190629,0.8986935150764317,0.8986977538538417,0.8987019926312516,0.8987062314086616,0.8987104701860715,0.8987124372278195,0.8987122464253958,0.8987120556229722,0.8987118648205484,0.8987116740181247,0.8987114832157012,0.8987117361931759,0.8987119177967386,0.8987059370392049,0.8986999562816713,0.8986939755241377,0.898687994766604,0.8986820140090706,0.8986760332515369,0.8986744955174786,0.8986774670991537,0.8986826495623867,0.8986878320256195,0.8986930144888525,0.8986981969520855,0.8987033794153183,0.8987085618785513,0.8987137443417842,0.8987189268050171,0.8987253142125249,0.8987311720329856,0.8987319476987232,0.8987233984065084,0.898714229581227,0.8987046577147575,0.8986950858482881,0.8986855139818186,0.8986759421153492,0.898662115537734,0.8986344334908551,0.8986104343866197,0.8985930873739532,0.8985831835884543,0.8985828463088055,0.8985825090291567,0.8985821527567679,0.8985817379258336,0.8985828808860926,0.8985857809643731,0.8985914308811783,0.8985982559786424,0.8986050810761065,0.8986119061735705,0.8986187312710346,0.8986255563684987,0.8986323814659628,0.8986376648817972,0.8986361447457599,0.8986341086980466,0.8986317627941244,0.8986294168902023,0.8986212126019174,0.8986128986182537,0.89860458463459,0.8985962375411923,0.8985878741731816,0.8985795108051711,0.8985711474371604,0.8985625702869076,0.8985538467563967,0.8985477343183008,0.8985434744730891,0.8985392146278774,0.8985349547826658,0.8985306949374541,0.8985245328520507,0.8985175511226938,0.8985105693933368,0.8985031205543986,0.8984934410554799,0.8984837615565612,0.8984739483719941,0.8984639785168974,0.8984540086618008,0.8984440388067041,0.8984369212136012,0.8984322254301642,0.898427529646727,0.89842283386329,0.898418138079853,0.898413406080971,0.8984122055227828,0.8984120811519832,0.8984129581150391,0.8984150045723349,0.8984170510296307,0.8984190974869265,0.8984211439442222,0.8984231904015181,0.8984223491184113,0.8984126352643065,0.8984022911469596,0.8983905797976282,0.8983784900775307,0.8983682826385433,0.8983712730568917,0.8983742634752401,0.8983772538935885,0.8983802443119369,0.8983832347302853,0.8983839049870881,0.8983835358703245,0.8983831667535609,0.8983827976367973,0.8983824285200337,0.8983820594032701,0.8983816902865065,0.8983813211697429,0.8983795776225686,0.8983772132931047,0.8983748489636408,0.898370551211382,0.8983618581915586,0.8983531651717351,0.8983444721519116,0.8983357791320881,0.8983269521581212,0.898325708193956,0.8983255987940373,0.8983254893941188,0.8983253799942001,0.8983252705942817,0.898325161194363,0.8983250517944444,0.8983249423945259,0.8983200972445149,0.8983134743121461,0.8983088812907725,0.8983042882693988,0.8982996952480252,0.8982951022266515,0.898290509205278,0.8982859161839043,0.8982813231625306,0.8982767301411569,0.8982651946221771,0.8982580676925257,0.8982509407628743,0.8982438138332229,0.8982366869035716,0.898228535351551,0.8982332841078935,0.8982392415599835,0.8982451990120734,0.8982511564641633,0.8982531826421005,0.898252483690089,0.8982517847380777,0.8982509273908199,0.8982463122845648,0.8982416971783098,0.8982370820720547,0.8982355921910452,0.8982350860728712,0.8982345799546969,0.8982340738365228,0.8982335677183486,0.8982367477458557,0.8982425445443352,0.8982483413428144,0.8982541381412938,0.8982611356941224,0.8982689287294128,0.8982767217647034,0.8982823481522711,0.89828105790193,0.8982792758066789,0.8982774937114277,0.8982757116161767,0.8982739295209257,0.8982721474256745,0.8982703653304234,0.8982685832351722,0.8982668011399211,0.898270621886175,0.8982745751890305,0.898277260320534,0.8982764316458483,0.8982756029711625,0.8982747742964767,0.898273945621791,0.8982731169471052,0.8982740496669923,0.8982771651142714,0.8982802805615503,0.898284190605225,0.8982887426403707,0.8982932946755162,0.8982978467106619,0.8983024201275138,0.8983070499826438,0.8983116798377737,0.8983163096929034,0.8983209395480334,0.8983255694031633,0.8983242244088931,0.8983224637918243,0.8983207031747554,0.8983189425576866,0.8983171819406177,0.8983154213235488,0.8983094811381975,0.898297003194445,0.8982838590973121,0.8982707150001792,0.8982634852790111,0.8982601445355316,0.8982593465065926,0.8982592438035368,0.8982591411004812,0.8982590383974254,0.8982589356943697,0.8982541151052795,0.8982450682655291,0.8982360214257787,0.8982269745860283,0.8982204175479915,0.89821735797596,0.898213094947401,0.8982088319188418,0.8982045688902828,0.8982003058617236,0.8981960428331646,0.8981917798046055,0.8981881597994117,0.8981880534458444,0.898188830563029,0.8981897555166307,0.898191197157902,0.8981926387991733,0.8981940804404448,0.8981955220817162,0.8981959056283798,0.8981941945620693,0.8981924834957589,0.8981907724294484,0.8981821139991963,0.8981701544329432,0.8981581948666899,0.8981470160436245,0.8981404841649776,0.8981339522863308,0.8981274204076838,0.8981208885290368,0.89811435665039,0.8981078247717431,0.8981012928930961,0.8980947610144492,0.8980882291358023,0.8980821490498898,0.8980763410692898,0.898070488137324,0.8980646352053585,0.8980587822733928,0.8980529293414272,0.8980466559777652,0.8980375607958333,0.8980287725431746,0.8980207501084166,0.8980127276736587,0.8980047052389006,0.8979966828041426,0.8979886603693845,0.8979806379346267,0.8979727192362963,0.8979683574370971,0.8979683757083502,0.8979683939796033,0.8979684122508562,0.8979684305221093,0.8979684487933622,0.8979684670646153,0.8979713677769563,0.8979771060955066,0.897982844414057,0.8979885827326072,0.8979935869090898,0.8979911715758895,0.8979886746284444,0.8979861776809994,0.8979836807335545,0.8979811837861096,0.8979786868386646,0.8979757204271348,0.8979726820132383,0.8979700535508373,0.8979674250884364,0.8979647966260356,0.8979621681636345,0.8979595397012337,0.8979569112388328,0.8979513967666675,0.8979397560041762,0.8979276894542587,0.8979156229043412,0.8979035563544238,0.8978914898045063,0.8978794232545887,0.8978673567046712,0.897835720694578,0.8977960000135393,0.8977644067590957,0.8977328135046523,0.8977012202502088,0.8976970312137997,0.897696179540147,0.8976953278664942,0.8976944761928415,0.8976936245191887,0.897692772845536,0.8976919211718832,0.8976910694982304,0.8976902178245776,0.8976851656861493,0.8976776199706586,0.8976700742551681,0.8976631899251777,0.8976669623389426,0.8976707347527075,0.8976745071664725,0.8976782795802374,0.8976820519940023,0.8976861268750662,0.8976866187189916,0.8976858951415657,0.8976851715641396,0.8976844479867137,0.8976837244092877,0.8976830008318617,0.8976822772544357,0.8976815536770096,0.8976808300995837,0.897681607788917,0.8976861073322098,0.8976906068755024,0.897695106418795,0.8976996059620879,0.8977041055053805,0.8977086050486731,0.8977131045919657,0.8977174637657213,0.8977215446333926,0.8977256255010639,0.8977297063687353,0.8977337872364066,0.8977404956702644,0.8977494846359237,0.8977584736015831,0.8977674625672425,0.8977764293400824,0.8977848438410305,0.8977932583419787,0.8978016728429268,0.8978100873438749,0.897818501844823,0.897826916345771,0.8978277024695953,0.8978250575957387,0.8978224127218821,0.8978197678480253,0.8978171229741687,0.8978144781003121,0.8978041244950921,0.897799016616555,0.8977937172472903,0.8977878238465324,0.8977819304457748,0.8977760370450171,0.8977701436442592,0.8977642502435015,0.8977583568427437,0.8977567937880803,0.8977562520591978,0.8977557103303154,0.8977551686014329,0.8977546268725505,0.8977540851436681,0.8977535434147856,0.8977530016859032,0.8977508883952994,0.897747731963872,0.8977445755324447,0.8977414191010173,0.8977391106582362,0.8977412366845363,0.8977433627108362,0.8977454887371361,0.897747614763436,0.8977497407897359,0.897751866816036,0.8977539928423359,0.8977561188686358,0.8977582448949358,0.8977599538892829,0.897747768379461,0.8977345540544053,0.8977232741506647,0.8977119942469238,0.897700714343183,0.8976894344394424,0.8976781545357015,0.8976676645629974,0.897661847722277,0.8976560308815564,0.897650214040836,0.8976488422403974,0.8976492050486606,0.8976529608757573,0.8976567167028542,0.8976604725299508,0.8976642283570476,0.8976679841841444,0.8976717400112411,0.8976751067830316,0.8976788768425579,0.8976821341513705,0.8976788205090221,0.8976755068666737,0.8976758101765967,0.8976724842788341,0.8976682429568177,0.8976640016348014,0.8976583140030653,0.8976503399931303,0.8976423659831952,0.8976353295182026,0.8976291599220811,0.8976229903259596,0.8976168207298381,0.8976106511337167,0.8976050806640563,0.897590568109387,0.8975758877509421,0.8975612073924973,0.8975465270340526,0.8975318466756077,0.8975171663171629,0.8975109615264081,0.8975126162749832,0.8975142710235584,0.8975159257721335,0.8975175805207085,0.8975192352692837,0.8975195085724905,0.8975168354965986,0.897514210329414,0.897511760199952,0.8975093100704901,0.8975068599410281,0.897504572947856,0.8975081589953728,0.8975052960288996,0.8974945081843102,0.8974837203397206,0.8974729324951312,0.8974621446505417,0.8974571264651725,0.8974538273057264,0.8974452335608316,0.8974366398159366,0.897427334063815,0.8974146182882607,0.8974019025127066,0.8973858715652678,0.8973626131418635,0.8973393547184592,0.8973160962950549,0.8972928378716507,0.8972836095899446,0.8972768936321237,0.8972701776743028,0.8972634617164821,0.8972567457586612,0.8972503461083916,0.8972449632675503,0.8972388885139484,0.8972152478221924,0.8971916071304364,0.8971679664386805,0.8971482569215172,0.8971401995755701,0.897132142229623,0.8971240848836759,0.8971117889358458,0.897068886111396,0.89703808954533,0.8970125434857545,0.8969869974261789,0.8969685196403502,0.8969543194922824,0.8969332233760055,0.8968970998155049,0.8969014094116172,0.8969057190077294,0.8969019145267645,0.8968849424432146,0.8968777576401612,0.8968689583406388,0.8968527501237944,0.8968343326173029,0.8968185843975691,0.8968008252298567,0.8967843123885102,0.8967719632435528,0.8967713125933735,0.8967705303710887,0.8967618910823798,0.8967521767442036,0.8967300809053995,0.8967117558777451,0.8966933842663232,0.8966798420039837,0.8966665551916309,0.8966545499933716,0.8966447272894202,0.8966313411496794,0.8966232965262781,0.8966219163488369,0.8966007861625235,0.8965658464944959,0.8965562562029041,0.8965559188216283,0.8965427377086526,0.896507642498674,0.8964733877153492,0.896444780825838,0.8964173257548627,0.8963867663404819,0.8963605635297429,0.8963581799615558,0.8963519611520381,0.8963318701571783,0.8962374883044023,0.8961282979339891,0.8960574855591212,0.896019325061538,0.8960062943042464,0.8959858299422554,0.8959466466487036,0.8959187336407168,0.8959090641216279,0.895892302390506,0.8958583287677457,0.8958446416443826,0.8958477410787293,0.8958334209856958,0.8957986655646424,0.8957585166466477,0.8957079495280199,0.8957014885396231,0.8957077784864529,0.8957089528435167,0.8956878547226641,0.8956656690078106,0.8956433148009395,0.8956179042395761,0.8955671795307905,0.895518458634643,0.8955051201274313,0.8954917816202197,0.8954829589693756,0.8954851605169907,0.8954873620646057,0.8954895613087754,0.895491872390239,0.8954946735963811,0.8954892921565044,0.8954811732683463,0.8954455814110294,0.8954434474579427,0.8954411636148415,0.8954219330387614,0.8954041932701755,0.8954054794889864,0.8954102259286344,0.895403126076747,0.8953952658261525,0.8953978061420755,0.8953852090423595,0.8953689761995817,0.8953697405959316,0.8953705049922813,0.8953647296678058,0.895347406447678,0.8953331784099636,0.895315899007521,0.8952870410523794,0.8952449910106683,0.8952211195395017,0.8951988680600045,0.895195850492228,0.8951631274455035,0.8950983351882952,0.895070392256603,0.8950503824849102,0.8950380222293282,0.8950353223277028,0.8950311592261466,0.8950381578907927,0.8950410346153432,0.8950418791630762,0.8950456164084699,0.8950516364470098,0.8950584038106233,0.8950653453793886,0.8950624679108135,0.8950071077576311,0.8949971742904007,0.8949955575339879,0.8949872141022276,0.8949571805483127,0.8949158208199331,0.8948844694376028,0.8948600053607474,0.8948404153483195,0.8948244410785529,0.8948222774993337,0.8948235024521873,0.8948247274050409,0.8948131108994444,0.8948034779147845,0.8948018024864557,0.8948001270581267,0.8947984516297977,0.8947890312273346,0.8947776340036404,0.8947734786242785,0.8947402527410292,0.8947415197460211,0.8947433188343852,0.8946977090380275,0.8946480860438526,0.8946243136180196,0.8946151828103615,0.8946183252306252,0.8946214676508892,0.8946195034676525,0.8946114829634948,0.8945033058355907,0.8944155106228833,0.8943779429230596,0.8943520266470883,0.8943432390194257,0.8943395959186482,0.8943346073469118,0.8943256349667335,0.8943166664164917,0.894278049162732,0.8942113239245149,0.8941674057634378,0.8941464383930142,0.8941445081011061,0.894142577809198,0.8941368085227102,0.8941221823643364,0.8941112044534556,0.8941011397692985,0.8940799560320696,0.8940552830240791,0.8940365363020087,0.894030548789772,0.8940249813956642,0.8940229069037411,0.8939925541722625,0.8939555238721342,0.8939151678160897,0.8938966815619005,0.8938753075522172,0.8938492901948487,0.8938033637834137,0.8937612069584702,0.8937352472150574,0.893678157808069,0.8936330906113654,0.8935948318821174,0.8935827268325709,0.8935601036505116,0.8935294712982617,0.8935109870425599,0.8934875999245984,0.8934722148297045,0.8934416852038721,0.8934047652075281,0.8933144739934813,0.8931915240183825,0.8931195851875604,0.8930697226351327,0.8930455320190132,0.8929910698185188,0.8929162179936424,0.8928569020714769,0.8928435012411946,0.8928312244666503,0.892802842124222,0.8927668475141195,0.8927181571809321,0.892664273606806,0.8925966473255246,0.8925277275897205,0.8924385716833589,0.8923593639132943,0.8922423668218412,0.8920749829495815,0.8918801661222837,0.8917683844293144,0.8916845522447755,0.8913373318732588,0.8911327107168198,0.8910369101879894,0.8906421209238617,0.8904061520486032,0.8898555171463456,0.8894598354241917,0.8892172641108014,0.8889296521550746,0.888452167075666,0.8877249765493882,0.8866472048961382,0.8858232483530368,0.8846715447329294,0.8832677142793941,0.8822258915872558,0.8809272366280984,0.879681681076976,0.8781999537056456,0.8772061950113904,0.8762782050339653,0.8755136663251469,0.8748518260352895,0.8742062468596523,0.876637645445741,0.8757727432441926,0.8746522415608193,0.8733245141301943,0.8720830504579209,0.870825329644294,0.8702952675437341,0.8702223121169195,0.8702314636159588,0.8705044288061446,0.871065666304163,0.8709681114066657,0.8709305413200008,0.8710858012186793,0.8710456763128122,0.8709847524366391,0.8722413486498569,0.8714598281018713,0.8708840958820173,0.8699326377171386,0.8690612005292525,0.8689504799583186,0.8688800037626906,0.8698078621110193,0.8702252642504624,0.8709530839133012,0.870904006744434,0.8708791908177311,0.870734349025235,0.8708712862136637,0.869177399859434,0.869027810854328,0.8690244624850071,0.8707469670664341,0.8706855389201924,0.8700370764326147,0.869941228330076,0.8699320846685388,0.8700789965628335,0.872089691586848,0.8718389436793723,0.8715857580905706,0.8710887050358872,0.870452749490144,0.8696860861538097,0.8689255871989641,0.8682663248197533,0.8681024741506362,0.8680638294892362,0.871148200379972,0.8709515046407141,0.8712231923838645,0.8710501274106774,0.8724698609672193,0.8722530759672285,0.871581631398063,0.8712913991267366,0.8708212524327579,0.8706312490700363,0.8706077573238202,0.8707352396613196,0.8708940421797311,0.8735373828978035,0.8733674519868458,0.873323642899058,0.8733246963755925,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},{\\\"hoverinfo\\\":\\\"skip\\\",\\\"line\\\":{\\\"color\\\":\\\"rgba(0, 200, 0, 1)\\\",\\\"width\\\":0.0},\\\"mode\\\":\\\"lines\\\",\\\"name\\\":\\\"\\\",\\\"showlegend\\\":false,\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.5,0.5001,0.5002,0.5003,0.5004,0.5005,0.5006,0.5007,0.5008,0.5009,0.501,0.5011,0.5012,0.5013,0.5014,0.5015,0.5016,0.5017,0.5018,0.5019,0.502,0.5021,0.5022,0.5023,0.5024,0.5025,0.5026,0.5027,0.5028,0.5029,0.503,0.5031,0.5032,0.5033,0.5034,0.5035,0.5036,0.5037,0.5038,0.5039,0.504,0.5041,0.5042,0.5043,0.5044,0.5045,0.5046,0.5047,0.5048,0.5049,0.505,0.5051,0.5052,0.5053,0.5054,0.5055,0.5056,0.5057,0.5058,0.5059,0.506,0.5061,0.5062,0.5063,0.5064,0.5065,0.5066,0.5067,0.5068,0.5069,0.507,0.5071,0.5072,0.5073,0.5074,0.5075,0.5076,0.5077,0.5078,0.5079,0.508,0.5081,0.5082,0.5083,0.5084,0.5085,0.5086,0.5087,0.5088,0.5089,0.509,0.5091,0.5092,0.5093,0.5094,0.5095,0.5096,0.5097,0.5098,0.5099,0.51,0.5101,0.5102,0.5103,0.5104,0.5105,0.5106,0.5107,0.5108,0.5109,0.511,0.5111,0.5112,0.5113,0.5114,0.5115,0.5116,0.5117,0.5118,0.5119,0.512,0.5121,0.5122,0.5123,0.5124,0.5125,0.5126,0.5127,0.5128,0.5129,0.513,0.5131,0.5132,0.5133,0.5134,0.5135,0.5136000000000001,0.5137,0.5138,0.5139,0.514,0.5141,0.5142,0.5143,0.5144,0.5145,0.5146,0.5147,0.5148,0.5149,0.515,0.5151,0.5152,0.5153,0.5154,0.5155,0.5156,0.5157,0.5158,0.5159,0.516,0.5161,0.5162,0.5163,0.5164,0.5165,0.5166,0.5167,0.5168,0.5169,0.517,0.5171,0.5172,0.5173,0.5174,0.5175,0.5176,0.5177,0.5178,0.5179,0.518,0.5181,0.5182,0.5183,0.5184,0.5185,0.5186,0.5187,0.5188,0.5189,0.519,0.5191,0.5192,0.5193,0.5194,0.5195,0.5196,0.5197,0.5198,0.5199,0.52,0.5201,0.5202,0.5203,0.5204,0.5205,0.5206,0.5207,0.5208,0.5209,0.521,0.5211,0.5212,0.5213,0.5214,0.5215,0.5216,0.5217,0.5218,0.5219,0.522,0.5221,0.5222,0.5223,0.5224,0.5225,0.5226,0.5227,0.5228,0.5229,0.523,0.5231,0.5232,0.5233,0.5234,0.5235,0.5236,0.5237,0.5238,0.5239,0.524,0.5241,0.5242,0.5243,0.5244,0.5245,0.5246,0.5246999999999999,0.5248,0.5249,0.525,0.5251,0.5252,0.5253,0.5254,0.5255,0.5256,0.5257000000000001,0.5258,0.5259,0.526,0.5261,0.5262,0.5263,0.5264,0.5265,0.5266,0.5267,0.5268,0.5269,0.527,0.5271,0.5272,0.5273,0.5274,0.5275,0.5276,0.5277000000000001,0.5278,0.5279,0.528,0.5281,0.5282,0.5283,0.5284,0.5285,0.5286,0.5287,0.5288,0.5289,0.529,0.5291,0.5292,0.5293,0.5294,0.5295,0.5296,0.5297,0.5298,0.5299,0.53,0.5301,0.5302,0.5303,0.5304,0.5305,0.5306,0.5307,0.5308,0.5309,0.531,0.5311,0.5312,0.5313,0.5314,0.5315,0.5316,0.5317,0.5318,0.5319,0.532,0.5321,0.5322,0.5323,0.5324,0.5325,0.5326,0.5327,0.5328,0.5329,0.533,0.5331,0.5332,0.5333,0.5334,0.5335,0.5336,0.5337,0.5338,0.5339,0.534,0.5341,0.5342,0.5343,0.5344,0.5345,0.5346,0.5347,0.5348,0.5349,0.535,0.5351,0.5352,0.5353,0.5354,0.5355,0.5356,0.5357,0.5358,0.5359,0.536,0.5361,0.5362,0.5363,0.5364,0.5365,0.5366,0.5367,0.5367999999999999,0.5369,0.537,0.5371,0.5372,0.5373,0.5374,0.5375,0.5376,0.5377,0.5378000000000001,0.5379,0.538,0.5381,0.5382,0.5383,0.5384,0.5385,0.5386,0.5387,0.5388,0.5389,0.539,0.5391,0.5392,0.5393,0.5394,0.5395,0.5396,0.5397,0.5398000000000001,0.5399,0.54,0.5401,0.5402,0.5403,0.5404,0.5405,0.5406,0.5407,0.5408,0.5409,0.541,0.5411,0.5412,0.5413,0.5414,0.5415,0.5416,0.5417,0.5418000000000001,0.5419,0.542,0.5421,0.5422,0.5423,0.5424,0.5425,0.5426,0.5427,0.5428,0.5429,0.543,0.5431,0.5432,0.5433,0.5434,0.5435,0.5436,0.5437,0.5438,0.5439,0.544,0.5441,0.5442,0.5443,0.5444,0.5445,0.5446,0.5447,0.5448,0.5449,0.545,0.5451,0.5452,0.5453,0.5454,0.5455,0.5456,0.5457,0.5458,0.5459,0.546,0.5461,0.5462,0.5463,0.5464,0.5465,0.5466,0.5467,0.5468,0.5469,0.547,0.5471,0.5472,0.5473,0.5474,0.5475,0.5476,0.5477,0.5478,0.5479,0.548,0.5481,0.5482,0.5483,0.5484,0.5485,0.5486,0.5487,0.5488,0.5488999999999999,0.549,0.5491,0.5492,0.5493,0.5494,0.5495,0.5496,0.5497,0.5498,0.5499,0.55,0.5501,0.5502,0.5503,0.5504,0.5505,0.5506,0.5507,0.5508,0.5509,0.551,0.5511,0.5512,0.5513,0.5514,0.5515,0.5516,0.5517,0.5518,0.5519000000000001,0.552,0.5521,0.5522,0.5523,0.5524,0.5525,0.5526,0.5527,0.5528,0.5529,0.553,0.5531,0.5532,0.5533,0.5534,0.5535,0.5536,0.5537,0.5538,0.5539000000000001,0.554,0.5541,0.5542,0.5543,0.5544,0.5545,0.5546,0.5547,0.5548,0.5549,0.555,0.5551,0.5552,0.5553,0.5554,0.5555,0.5556,0.5557,0.5558,0.5559000000000001,0.556,0.5561,0.5562,0.5563,0.5564,0.5565,0.5566,0.5567,0.5568,0.5569,0.557,0.5571,0.5572,0.5573,0.5574,0.5575,0.5576,0.5577,0.5578,0.5579,0.558,0.5581,0.5582,0.5583,0.5584,0.5585,0.5586,0.5587,0.5588,0.5589,0.559,0.5591,0.5592,0.5593,0.5594,0.5595,0.5596,0.5597,0.5598,0.5599,0.56,0.5601,0.5602,0.5603,0.5604,0.5605,0.5606,0.5607,0.5608,0.5609,0.561,0.5611,0.5612,0.5613,0.5614,0.5615,0.5616,0.5617,0.5618,0.5619,0.562,0.5621,0.5622,0.5623,0.5624,0.5625,0.5626,0.5627,0.5628,0.5629,0.563,0.5631,0.5632,0.5633,0.5634,0.5635,0.5636,0.5637,0.5638,0.5639,0.5640000000000001,0.5641,0.5642,0.5643,0.5644,0.5645,0.5646,0.5647,0.5648,0.5649,0.565,0.5651,0.5652,0.5653,0.5654,0.5655,0.5656,0.5657,0.5658,0.5659,0.5660000000000001,0.5661,0.5662,0.5663,0.5664,0.5665,0.5666,0.5667,0.5668,0.5669,0.567,0.5671,0.5672,0.5673,0.5674,0.5675,0.5676,0.5677,0.5678,0.5679,0.5680000000000001,0.5681,0.5682,0.5683,0.5684,0.5685,0.5686,0.5687,0.5688,0.5689,0.569,0.5691,0.5692,0.5693,0.5694,0.5695,0.5696,0.5697,0.5698,0.5699,0.5700000000000001,0.5701,0.5702,0.5703,0.5704,0.5705,0.5706,0.5707,0.5708,0.5709,0.571,0.5710999999999999,0.5712,0.5713,0.5714,0.5715,0.5716,0.5717,0.5718,0.5719,0.5720000000000001,0.5721,0.5722,0.5723,0.5724,0.5725,0.5726,0.5727,0.5728,0.5729,0.573,0.5730999999999999,0.5732,0.5733,0.5734,0.5735,0.5736,0.5737,0.5738,0.5739,0.5740000000000001,0.5741,0.5742,0.5743,0.5744,0.5745,0.5746,0.5747,0.5748,0.5749,0.575,0.5751,0.5752,0.5753,0.5754,0.5755,0.5756,0.5757,0.5758,0.5759,0.576,0.5761000000000001,0.5762,0.5763,0.5764,0.5765,0.5766,0.5767,0.5768,0.5769,0.577,0.5771,0.5772,0.5773,0.5774,0.5775,0.5776,0.5777,0.5778,0.5779,0.578,0.5781000000000001,0.5782,0.5783,0.5784,0.5785,0.5786,0.5787,0.5788,0.5789,0.579,0.5791,0.5792,0.5793,0.5794,0.5795,0.5796,0.5797,0.5798,0.5799,0.58,0.5801000000000001,0.5802,0.5803,0.5804,0.5805,0.5806,0.5807,0.5808,0.5809,0.581,0.5811,0.5812,0.5813,0.5814,0.5815,0.5816,0.5817,0.5818,0.5819,0.582,0.5821000000000001,0.5822,0.5823,0.5824,0.5825,0.5826,0.5827,0.5828,0.5829,0.583,0.5831,0.5832,0.5833,0.5834,0.5835,0.5836,0.5837,0.5838,0.5839,0.584,0.5841000000000001,0.5842,0.5843,0.5844,0.5845,0.5846,0.5847,0.5848,0.5849,0.585,0.5851,0.5851999999999999,0.5853,0.5854,0.5855,0.5856,0.5857,0.5858,0.5859,0.586,0.5861000000000001,0.5862,0.5863,0.5864,0.5865,0.5866,0.5867,0.5868,0.5869,0.587,0.5871,0.5871999999999999,0.5873,0.5874,0.5875,0.5876,0.5877,0.5878,0.5879,0.588,0.5881,0.5882000000000001,0.5883,0.5884,0.5885,0.5886,0.5887,0.5888,0.5889,0.589,0.5891,0.5892,0.5893,0.5894,0.5895,0.5896,0.5897,0.5898,0.5899,0.59,0.5901,0.5902000000000001,0.5903,0.5904,0.5905,0.5906,0.5907,0.5908,0.5909,0.591,0.5911,0.5912,0.5913,0.5914,0.5915,0.5916,0.5917,0.5918,0.5919,0.592,0.5921,0.5922000000000001,0.5923,0.5924,0.5925,0.5926,0.5927,0.5928,0.5929,0.593,0.5931,0.5932,0.5933,0.5934,0.5935,0.5936,0.5937,0.5938,0.5939,0.594,0.5941,0.5942000000000001,0.5943,0.5944,0.5945,0.5946,0.5947,0.5948,0.5949,0.595,0.5951,0.5952,0.5953,0.5954,0.5955,0.5956,0.5957,0.5958,0.5959,0.596,0.5961,0.5962000000000001,0.5963,0.5964,0.5965,0.5966,0.5967,0.5968,0.5969,0.597,0.5971,0.5972,0.5973,0.5974,0.5975,0.5976,0.5977,0.5978,0.5979,0.598,0.5981,0.5982000000000001,0.5983,0.5984,0.5985,0.5986,0.5987,0.5988,0.5989,0.599,0.5991,0.5992,0.5992999999999999,0.5994,0.5995,0.5996,0.5997,0.5998,0.5999,0.6,0.6001,0.6002000000000001,0.6003000000000001,0.6004,0.6005,0.6006,0.6007,0.6008,0.6009,0.601,0.6011,0.6012,0.6013,0.6014,0.6015,0.6016,0.6017,0.6018,0.6019,0.602,0.6021,0.6022,0.6023000000000001,0.6024,0.6025,0.6026,0.6027,0.6028,0.6029,0.603,0.6031,0.6032,0.6033,0.6034,0.6035,0.6036,0.6037,0.6038,0.6039,0.604,0.6041,0.6042,0.6043000000000001,0.6044,0.6045,0.6046,0.6047,0.6048,0.6049,0.605,0.6051,0.6052,0.6053,0.6054,0.6055,0.6056,0.6057,0.6058,0.6059,0.606,0.6061,0.6062,0.6063000000000001,0.6064,0.6065,0.6066,0.6067,0.6068,0.6069,0.607,0.6071,0.6072,0.6073,0.6074,0.6075,0.6076,0.6077,0.6078,0.6079,0.608,0.6081,0.6082,0.6083000000000001,0.6084,0.6085,0.6086,0.6087,0.6088,0.6089,0.609,0.6091,0.6092,0.6093,0.6094,0.6095,0.6096,0.6097,0.6098,0.6099,0.61,0.6101,0.6102,0.6103000000000001,0.6104,0.6105,0.6106,0.6107,0.6108,0.6109,0.611,0.6111,0.6112,0.6113,0.6113999999999999,0.6115,0.6116,0.6117,0.6118,0.6119,0.612,0.6121,0.6122,0.6123000000000001,0.6124,0.6125,0.6126,0.6127,0.6128,0.6129,0.613,0.6131,0.6132,0.6133,0.6134,0.6135,0.6136,0.6137,0.6138,0.6139,0.614,0.6141,0.6142,0.6143,0.6144000000000001,0.6145,0.6146,0.6147,0.6148,0.6149,0.615,0.6151,0.6152,0.6153,0.6154,0.6155,0.6156,0.6157,0.6158,0.6159,0.616,0.6161,0.6162,0.6163,0.6164000000000001,0.6165,0.6166,0.6167,0.6168,0.6169,0.617,0.6171,0.6172,0.6173,0.6174,0.6175,0.6176,0.6177,0.6178,0.6179,0.618,0.6181,0.6182,0.6183,0.6184000000000001,0.6185,0.6186,0.6187,0.6188,0.6189,0.619,0.6191,0.6192,0.6193,0.6194,0.6195,0.6196,0.6197,0.6198,0.6199,0.62,0.6201,0.6202,0.6203,0.6204000000000001,0.6205,0.6206,0.6207,0.6208,0.6209,0.621,0.6211,0.6212,0.6213,0.6214,0.6215,0.6216,0.6217,0.6218,0.6219,0.622,0.6221,0.6222,0.6223,0.6224000000000001,0.6225,0.6226,0.6227,0.6228,0.6229,0.623,0.6231,0.6232,0.6233,0.6234,0.6235,0.6236,0.6237,0.6238,0.6239,0.624,0.6241,0.6242,0.6243,0.6244000000000001,0.6245,0.6246,0.6247,0.6248,0.6249,0.625,0.6251,0.6252,0.6253,0.6254,0.6255,0.6256,0.6257,0.6258,0.6259,0.626,0.6261,0.6262,0.6263,0.6264000000000001,0.6265000000000001,0.6266,0.6267,0.6268,0.6269,0.627,0.6271,0.6272,0.6273,0.6274,0.6275,0.6276,0.6277,0.6278,0.6279,0.628,0.6281,0.6282,0.6283,0.6284000000000001,0.6285000000000001,0.6286,0.6287,0.6288,0.6289,0.629,0.6291,0.6292,0.6293,0.6294,0.6295,0.6295999999999999,0.6297,0.6298,0.6299,0.63,0.6301,0.6302,0.6303,0.6304000000000001,0.6305000000000001,0.6306,0.6307,0.6308,0.6309,0.631,0.6311,0.6312,0.6313,0.6314,0.6315,0.6315999999999999,0.6317,0.6318,0.6319,0.632,0.6321,0.6322,0.6323,0.6324000000000001,0.6325000000000001,0.6326,0.6327,0.6328,0.6329,0.633,0.6331,0.6332,0.6333,0.6334,0.6335,0.6335999999999999,0.6337,0.6338,0.6339,0.634,0.6341,0.6342,0.6343,0.6344000000000001,0.6345000000000001,0.6346,0.6347,0.6348,0.6349,0.635,0.6351,0.6352,0.6353,0.6354,0.6355,0.6355999999999999,0.6357,0.6358,0.6359,0.636,0.6361,0.6362,0.6363,0.6364,0.6365000000000001,0.6366,0.6367,0.6368,0.6369,0.637,0.6371,0.6372,0.6373,0.6374,0.6375,0.6376,0.6377,0.6378,0.6379,0.638,0.6381,0.6382,0.6383,0.6384,0.6385000000000001,0.6386000000000001,0.6387,0.6388,0.6389,0.639,0.6391,0.6392,0.6393,0.6394,0.6395,0.6396,0.6397,0.6398,0.6399,0.64,0.6401,0.6402,0.6403,0.6404,0.6405000000000001,0.6406000000000001,0.6407,0.6408,0.6409,0.641,0.6411,0.6412,0.6413,0.6414,0.6415,0.6416,0.6417,0.6418,0.6419,0.642,0.6421,0.6422,0.6423,0.6424,0.6425000000000001,0.6426000000000001,0.6427,0.6428,0.6429,0.643,0.6431,0.6432,0.6433,0.6434,0.6435,0.6436,0.6436999999999999,0.6438,0.6439,0.644,0.6441,0.6442,0.6443,0.6444,0.6445000000000001,0.6446000000000001,0.6447,0.6448,0.6449,0.645,0.6451,0.6452,0.6453,0.6454,0.6455,0.6456,0.6456999999999999,0.6458,0.6459,0.646,0.6461,0.6462,0.6463,0.6464,0.6465000000000001,0.6466000000000001,0.6467,0.6468,0.6469,0.647,0.6471,0.6472,0.6473,0.6474,0.6475,0.6476,0.6476999999999999,0.6478,0.6479,0.648,0.6481,0.6482,0.6483,0.6484,0.6485000000000001,0.6486000000000001,0.6487,0.6488,0.6489,0.649,0.6491,0.6492,0.6493,0.6494,0.6495,0.6496,0.6496999999999999,0.6498,0.6499,0.65,0.6501,0.6502,0.6503,0.6504,0.6505,0.6506000000000001,0.6507000000000001,0.6508,0.6509,0.651,0.6511,0.6512,0.6513,0.6514,0.6515,0.6516,0.6517,0.6518,0.6519,0.652,0.6521,0.6522,0.6523,0.6524,0.6525,0.6526000000000001,0.6527000000000001,0.6528,0.6529,0.653,0.6531,0.6532,0.6533,0.6534,0.6535,0.6536,0.6537,0.6538,0.6539,0.654,0.6541,0.6542,0.6543,0.6544,0.6545,0.6546000000000001,0.6547000000000001,0.6548,0.6549,0.655,0.6551,0.6552,0.6553,0.6554,0.6555,0.6556,0.6557,0.6557999999999999,0.6559,0.656,0.6561,0.6562,0.6563,0.6564,0.6565,0.6566000000000001,0.6567000000000001,0.6568,0.6569,0.657,0.6571,0.6572,0.6573,0.6574,0.6575,0.6576,0.6577,0.6577999999999999,0.6579,0.658,0.6581,0.6582,0.6583,0.6584,0.6585,0.6586000000000001,0.6587000000000001,0.6588,0.6589,0.659,0.6591,0.6592,0.6593,0.6594,0.6595,0.6596,0.6597,0.6597999999999999,0.6599,0.66,0.6601,0.6602,0.6603,0.6604,0.6605,0.6606000000000001,0.6607000000000001,0.6608,0.6609,0.661,0.6611,0.6612,0.6613,0.6614,0.6615,0.6616,0.6617,0.6617999999999999,0.6619,0.662,0.6621,0.6622,0.6623,0.6624,0.6625,0.6626,0.6627000000000001,0.6628000000000001,0.6629,0.663,0.6631,0.6632,0.6633,0.6634,0.6635,0.6636,0.6637,0.6638,0.6639,0.664,0.6641,0.6642,0.6643,0.6644,0.6645,0.6646,0.6647000000000001,0.6648000000000001,0.6649,0.665,0.6651,0.6652,0.6653,0.6654,0.6655,0.6656,0.6657,0.6658,0.6659,0.666,0.6661,0.6662,0.6663,0.6664,0.6665,0.6666,0.6667000000000001,0.6668000000000001,0.6669,0.667,0.6671,0.6672,0.6673,0.6674,0.6675,0.6676,0.6677,0.6678,0.6679,0.668,0.6681,0.6682,0.6683,0.6684,0.6685,0.6686,0.6687000000000001,0.6688000000000001,0.6689,0.669,0.6691,0.6692,0.6693,0.6694,0.6695,0.6696,0.6697,0.6698,0.6698999999999999,0.67,0.6701,0.6702,0.6703,0.6704,0.6705,0.6706,0.6707000000000001,0.6708000000000001,0.6709,0.671,0.6711,0.6712,0.6713,0.6714,0.6715,0.6716,0.6717,0.6718,0.6718999999999999,0.672,0.6721,0.6722,0.6723,0.6724,0.6725,0.6726,0.6727000000000001,0.6728000000000001,0.6729,0.673,0.6731,0.6732,0.6733,0.6734,0.6735,0.6736,0.6737,0.6738,0.6738999999999999,0.674,0.6741,0.6742,0.6743,0.6744,0.6745,0.6746,0.6747000000000001,0.6748000000000001,0.6749,0.675,0.6751,0.6752,0.6753,0.6754,0.6755,0.6756,0.6757,0.6758,0.6759,0.676,0.6761,0.6762,0.6763,0.6764,0.6765,0.6766,0.6767,0.6768000000000001,0.6769000000000001,0.677,0.6771,0.6772,0.6773,0.6774,0.6775,0.6776,0.6777,0.6778,0.6779,0.678,0.6781,0.6782,0.6783,0.6784,0.6785,0.6786,0.6787,0.6788000000000001,0.6789000000000001,0.679,0.6791,0.6792,0.6793,0.6794,0.6795,0.6796,0.6797,0.6798,0.6799,0.68,0.6801,0.6802,0.6803,0.6804,0.6805,0.6806,0.6807,0.6808000000000001,0.6809000000000001,0.681,0.6811,0.6812,0.6813,0.6814,0.6815,0.6816,0.6817,0.6818,0.6819,0.6819999999999999,0.6821,0.6822,0.6823,0.6824,0.6825,0.6826,0.6827,0.6828000000000001,0.6829000000000001,0.683,0.6831,0.6832,0.6833,0.6834,0.6835,0.6836,0.6837,0.6838,0.6839,0.6839999999999999,0.6841,0.6842,0.6843,0.6844,0.6845,0.6846,0.6847,0.6848000000000001,0.6849000000000001,0.685,0.6851,0.6852,0.6853,0.6854,0.6855,0.6856,0.6857,0.6858,0.6859,0.6859999999999999,0.6861,0.6862,0.6863,0.6864,0.6865,0.6866,0.6867,0.6868000000000001,0.6869000000000001,0.687,0.6871,0.6872,0.6873,0.6874,0.6875,0.6876,0.6877,0.6878,0.6879,0.688,0.6881,0.6882,0.6883,0.6884,0.6885,0.6886,0.6887,0.6888,0.6889000000000001,0.6890000000000001,0.6891,0.6892,0.6893,0.6894,0.6895,0.6896,0.6897,0.6898,0.6899,0.69,0.6901,0.6902,0.6903,0.6904,0.6905,0.6906,0.6907,0.6908,0.6909000000000001,0.6910000000000001,0.6911,0.6912,0.6913,0.6914,0.6915,0.6916,0.6917,0.6918,0.6919,0.692,0.6921,0.6922,0.6923,0.6924,0.6925,0.6926,0.6927,0.6928,0.6929000000000001,0.6930000000000001,0.6931,0.6932,0.6933,0.6934,0.6935,0.6936,0.6937,0.6938,0.6939,0.694,0.6941,0.6942,0.6943,0.6944,0.6945,0.6946,0.6947,0.6948,0.6949000000000001,0.6950000000000001,0.6951,0.6952,0.6953,0.6954,0.6955,0.6956,0.6957,0.6958,0.6959,0.696,0.6960999999999999,0.6962,0.6963,0.6964,0.6965,0.6966,0.6967,0.6968,0.6969000000000001,0.6970000000000001,0.6971,0.6972,0.6973,0.6974,0.6975,0.6976,0.6977,0.6978,0.6979,0.698,0.6980999999999999,0.6982,0.6983,0.6984,0.6985,0.6986,0.6987,0.6988,0.6989000000000001,0.6990000000000001,0.6991,0.6992,0.6993,0.6994,0.6995,0.6996,0.6997,0.6998,0.6999,0.7,0.7001,0.7002,0.7003,0.7004,0.7005,0.7006,0.7007,0.7008,0.7009000000000001,0.7010000000000001,0.7011000000000001,0.7012,0.7013,0.7014,0.7015,0.7016,0.7017,0.7018,0.7019,0.702,0.7021,0.7022,0.7023,0.7024,0.7025,0.7026,0.7027,0.7028,0.7029,0.7030000000000001,0.7031000000000001,0.7032,0.7033,0.7034,0.7035,0.7036,0.7037,0.7038,0.7039,0.704,0.7041,0.7042,0.7043,0.7044,0.7045,0.7046,0.7047,0.7048,0.7049,0.7050000000000001,0.7051000000000001,0.7052,0.7053,0.7054,0.7055,0.7056,0.7057,0.7058,0.7059,0.706,0.7061,0.7062,0.7063,0.7064,0.7065,0.7066,0.7067,0.7068,0.7069,0.7070000000000001,0.7071000000000001,0.7072,0.7073,0.7074,0.7075,0.7076,0.7077,0.7078,0.7079,0.708,0.7081,0.7081999999999999,0.7083,0.7084,0.7085,0.7086,0.7087,0.7088,0.7089,0.7090000000000001,0.7091000000000001,0.7092,0.7093,0.7094,0.7095,0.7096,0.7097,0.7098,0.7099,0.71,0.7101,0.7101999999999999,0.7103,0.7104,0.7105,0.7106,0.7107,0.7108,0.7109,0.7110000000000001,0.7111000000000001,0.7112,0.7113,0.7114,0.7115,0.7116,0.7117,0.7118,0.7119,0.712,0.7121,0.7121999999999999,0.7123,0.7124,0.7125,0.7126,0.7127,0.7128,0.7129,0.7130000000000001,0.7131000000000001,0.7132000000000001,0.7133,0.7134,0.7135,0.7136,0.7137,0.7138,0.7139,0.714,0.7141,0.7142,0.7143,0.7144,0.7145,0.7146,0.7147,0.7148,0.7149,0.715,0.7151000000000001,0.7152000000000001,0.7153,0.7154,0.7155,0.7156,0.7157,0.7158,0.7159,0.716,0.7161,0.7162,0.7163,0.7164,0.7165,0.7166,0.7167,0.7168,0.7169,0.717,0.7171000000000001,0.7172000000000001,0.7173,0.7174,0.7175,0.7176,0.7177,0.7178,0.7179,0.718,0.7181,0.7182,0.7183,0.7184,0.7185,0.7186,0.7187,0.7188,0.7189,0.719,0.7191000000000001,0.7192000000000001,0.7193,0.7194,0.7195,0.7196,0.7197,0.7198,0.7199,0.72,0.7201,0.7202,0.7203,0.7204,0.7205,0.7206,0.7207,0.7208,0.7209,0.721,0.7211000000000001,0.7212000000000001,0.7213,0.7214,0.7215,0.7216,0.7217,0.7218,0.7219,0.722,0.7221,0.7222,0.7222999999999999,0.7224,0.7225,0.7226,0.7227,0.7228,0.7229,0.723,0.7231000000000001,0.7232000000000001,0.7233,0.7234,0.7235,0.7236,0.7237,0.7238,0.7239,0.724,0.7241,0.7242,0.7242999999999999,0.7244,0.7245,0.7246,0.7247,0.7248,0.7249,0.725,0.7251000000000001,0.7252000000000001,0.7253000000000001,0.7254,0.7255,0.7256,0.7257,0.7258,0.7259,0.726,0.7261,0.7262,0.7263,0.7264,0.7265,0.7266,0.7267,0.7268,0.7269,0.727,0.7271000000000001,0.7272000000000001,0.7273000000000001,0.7274,0.7275,0.7276,0.7277,0.7278,0.7279,0.728,0.7281,0.7282,0.7283,0.7284,0.7285,0.7286,0.7287,0.7288,0.7289,0.729,0.7291,0.7292000000000001,0.7293000000000001,0.7294,0.7295,0.7296,0.7297,0.7298,0.7299,0.73,0.7301,0.7302,0.7303,0.7304,0.7305,0.7306,0.7307,0.7308,0.7309,0.731,0.7311,0.7312000000000001,0.7313000000000001,0.7314,0.7315,0.7316,0.7317,0.7318,0.7319,0.732,0.7321,0.7322,0.7323,0.7324,0.7325,0.7326,0.7327,0.7328,0.7329,0.733,0.7331,0.7332000000000001,0.7333000000000001,0.7334,0.7335,0.7336,0.7337,0.7338,0.7339,0.734,0.7341,0.7342,0.7343,0.7344,0.7345,0.7346,0.7347,0.7348,0.7349,0.735,0.7351,0.7352000000000001,0.7353000000000001,0.7354,0.7355,0.7356,0.7357,0.7358,0.7359,0.736,0.7361,0.7362,0.7363,0.7363999999999999,0.7365,0.7366,0.7367,0.7368,0.7369,0.737,0.7371,0.7372000000000001,0.7373000000000001,0.7374,0.7375,0.7376,0.7377,0.7378,0.7379,0.738,0.7381,0.7382,0.7383,0.7384,0.7385,0.7386,0.7387,0.7388,0.7389,0.739,0.7391,0.7392000000000001,0.7393000000000001,0.7394000000000001,0.7395,0.7396,0.7397,0.7398,0.7399,0.74,0.7401,0.7402,0.7403,0.7404,0.7405,0.7406,0.7407,0.7408,0.7409,0.741,0.7411,0.7412,0.7413000000000001,0.7414000000000001,0.7415,0.7416,0.7417,0.7418,0.7419,0.742,0.7421,0.7422,0.7423,0.7424,0.7425,0.7426,0.7427,0.7428,0.7429,0.743,0.7431,0.7432,0.7433000000000001,0.7434000000000001,0.7435,0.7436,0.7437,0.7438,0.7439,0.744,0.7441,0.7442,0.7443,0.7444,0.7445,0.7446,0.7447,0.7448,0.7449,0.745,0.7451,0.7452,0.7453000000000001,0.7454000000000001,0.7455,0.7456,0.7457,0.7458,0.7459,0.746,0.7461,0.7462,0.7463,0.7464,0.7465,0.7466,0.7467,0.7468,0.7469,0.747,0.7471,0.7472,0.7473000000000001,0.7474000000000001,0.7475,0.7476,0.7477,0.7478,0.7479,0.748,0.7481,0.7482,0.7483,0.7484,0.7484999999999999,0.7486,0.7487,0.7488,0.7489,0.749,0.7491,0.7492,0.7493000000000001,0.7494000000000001,0.7495,0.7496,0.7497,0.7498,0.7499,0.75,0.7501,0.7502,0.7503,0.7504,0.7505,0.7505999999999999,0.7507,0.7508,0.7509,0.751,0.7511,0.7512000000000001,0.7513000000000001,0.7514000000000001,0.7515000000000001,0.7516,0.7517,0.7518,0.7519,0.752,0.7521,0.7522,0.7523,0.7524,0.7525,0.7525999999999999,0.7527,0.7528,0.7529,0.753,0.7531,0.7532000000000001,0.7533000000000001,0.7534000000000001,0.7535000000000001,0.7536,0.7537,0.7538,0.7539,0.754,0.7541,0.7542,0.7543,0.7544,0.7545,0.7545999999999999,0.7547,0.7548,0.7549,0.755,0.7551,0.7552000000000001,0.7553000000000001,0.7554000000000001,0.7555000000000001,0.7556,0.7557,0.7558,0.7559,0.756,0.7561,0.7562,0.7563,0.7564,0.7565,0.7565999999999999,0.7567,0.7568,0.7569,0.757,0.7571,0.7572000000000001,0.7573000000000001,0.7574000000000001,0.7575000000000001,0.7576,0.7577,0.7578,0.7579,0.758,0.7581,0.7582,0.7583,0.7584,0.7585,0.7585999999999999,0.7586999999999999,0.7588,0.7589,0.759,0.7591,0.7592,0.7593000000000001,0.7594000000000001,0.7595000000000001,0.7596,0.7597,0.7598,0.7599,0.76,0.7601,0.7602,0.7603,0.7604,0.7605,0.7605999999999999,0.7606999999999999,0.7608,0.7609,0.761,0.7611,0.7612,0.7613000000000001,0.7614000000000001,0.7615000000000001,0.7616,0.7617,0.7618,0.7619,0.762,0.7621,0.7622,0.7623,0.7624,0.7625,0.7626,0.7626999999999999,0.7628,0.7629,0.763,0.7631,0.7632,0.7633000000000001,0.7634000000000001,0.7635000000000001,0.7636000000000001,0.7637,0.7638,0.7639,0.764,0.7641,0.7642,0.7643,0.7644,0.7645,0.7646,0.7646999999999999,0.7648,0.7649,0.765,0.7651,0.7652,0.7653000000000001,0.7654000000000001,0.7655000000000001,0.7656000000000001,0.7657,0.7658,0.7659,0.766,0.7661,0.7662,0.7663,0.7664,0.7665,0.7666,0.7666999999999999,0.7668,0.7669,0.767,0.7671,0.7672,0.7673000000000001,0.7674000000000001,0.7675000000000001,0.7676000000000001,0.7677,0.7678,0.7679,0.768,0.7681,0.7682,0.7683,0.7684,0.7685,0.7686,0.7686999999999999,0.7688,0.7689,0.769,0.7691,0.7692,0.7693000000000001,0.7694000000000001,0.7695000000000001,0.7696000000000001,0.7697,0.7698,0.7699,0.77,0.7701,0.7702,0.7703,0.7704,0.7705,0.7706,0.7706999999999999,0.7708,0.7709,0.771,0.7711,0.7712,0.7713,0.7714000000000001,0.7715000000000001,0.7716000000000001,0.7717,0.7718,0.7719,0.772,0.7721,0.7722,0.7723,0.7724,0.7725,0.7726,0.7726999999999999,0.7727999999999999,0.7729,0.773,0.7731,0.7732,0.7733,0.7734000000000001,0.7735000000000001,0.7736000000000001,0.7737,0.7738,0.7739,0.774,0.7741,0.7742,0.7743,0.7744,0.7745,0.7746,0.7746999999999999,0.7747999999999999,0.7749,0.775,0.7751,0.7752,0.7753,0.7754000000000001,0.7755000000000001,0.7756000000000001,0.7757000000000001,0.7758,0.7759,0.776,0.7761,0.7762,0.7763,0.7764,0.7765,0.7766,0.7767,0.7767999999999999,0.7769,0.777,0.7771,0.7772,0.7773,0.7774000000000001,0.7775000000000001,0.7776000000000001,0.7777000000000001,0.7778,0.7779,0.778,0.7781,0.7782,0.7783,0.7784,0.7785,0.7786,0.7787,0.7787999999999999,0.7789,0.779,0.7791,0.7792,0.7793,0.7794000000000001,0.7795000000000001,0.7796000000000001,0.7797000000000001,0.7798,0.7799,0.78,0.7801,0.7802,0.7803,0.7804,0.7805,0.7806,0.7807,0.7807999999999999,0.7809,0.781,0.7811,0.7812,0.7813,0.7814000000000001,0.7815000000000001,0.7816000000000001,0.7817000000000001,0.7818,0.7819,0.782,0.7821,0.7822,0.7823,0.7824,0.7825,0.7826,0.7827,0.7827999999999999,0.7829,0.783,0.7831,0.7832,0.7833,0.7834000000000001,0.7835000000000001,0.7836000000000001,0.7837000000000001,0.7838,0.7839,0.784,0.7841,0.7842,0.7843,0.7844,0.7845,0.7846,0.7847,0.7847999999999999,0.7848999999999999,0.785,0.7851,0.7852,0.7853,0.7854,0.7855000000000001,0.7856000000000001,0.7857000000000001,0.7858,0.7859,0.786,0.7861,0.7862,0.7863,0.7864,0.7865,0.7866,0.7867,0.7867999999999999,0.7868999999999999,0.787,0.7871,0.7872,0.7873,0.7874,0.7875000000000001,0.7876000000000001,0.7877000000000001,0.7878000000000001,0.7879,0.788,0.7881,0.7882,0.7883,0.7884,0.7885,0.7886,0.7887,0.7888,0.7888999999999999,0.789,0.7891,0.7892,0.7893,0.7894,0.7895000000000001,0.7896000000000001,0.7897000000000001,0.7898000000000001,0.7899,0.79,0.7901,0.7902,0.7903,0.7904,0.7905,0.7906,0.7907,0.7908,0.7908999999999999,0.791,0.7911,0.7912,0.7913,0.7914,0.7915000000000001,0.7916000000000001,0.7917000000000001,0.7918000000000001,0.7919,0.792,0.7921,0.7922,0.7923,0.7924,0.7925,0.7926,0.7927,0.7928,0.7928999999999999,0.793,0.7931,0.7932,0.7933,0.7934,0.7935000000000001,0.7936000000000001,0.7937000000000001,0.7938000000000001,0.7939,0.794,0.7941,0.7942,0.7943,0.7944,0.7945,0.7946,0.7947,0.7948,0.7948999999999999,0.795,0.7951,0.7952,0.7953,0.7954,0.7955000000000001,0.7956000000000001,0.7957000000000001,0.7958000000000001,0.7959,0.796,0.7961,0.7962,0.7963,0.7964,0.7965,0.7966,0.7967,0.7968,0.7968999999999999,0.797,0.7971,0.7972,0.7973,0.7974,0.7975,0.7976000000000001,0.7977000000000001,0.7978000000000001,0.7979,0.798,0.7981,0.7982,0.7983,0.7984,0.7985,0.7986,0.7987,0.7988,0.7988999999999999,0.7989999999999999,0.7991,0.7992,0.7993,0.7994,0.7995,0.7996000000000001,0.7997000000000001,0.7998000000000001,0.7999,0.8,0.8001,0.8002,0.8003,0.8004,0.8005,0.8006,0.8007,0.8008,0.8009,0.8009999999999999,0.8011,0.8012,0.8013,0.8014,0.8015,0.8016000000000001,0.8017000000000001,0.8018000000000001,0.8019000000000001,0.802,0.8021,0.8022,0.8023,0.8024,0.8025,0.8026,0.8027,0.8028,0.8029,0.8029999999999999,0.8031,0.8032,0.8033,0.8034,0.8035,0.8036000000000001,0.8037000000000001,0.8038000000000001,0.8039000000000001,0.804,0.8041,0.8042,0.8043,0.8044,0.8045,0.8046,0.8047,0.8048,0.8049,0.8049999999999999,0.8051,0.8052,0.8053,0.8054,0.8055,0.8056000000000001,0.8057000000000001,0.8058000000000001,0.8059000000000001,0.806,0.8061,0.8062,0.8063,0.8064,0.8065,0.8066,0.8067,0.8068,0.8069,0.8069999999999999,0.8071,0.8072,0.8073,0.8074,0.8075,0.8076000000000001,0.8077000000000001,0.8078000000000001,0.8079000000000001,0.808,0.8081,0.8082,0.8083,0.8084,0.8085,0.8086,0.8087,0.8088,0.8089,0.8089999999999999,0.8091,0.8092,0.8093,0.8094,0.8095,0.8096000000000001,0.8097000000000001,0.8098000000000001,0.8099000000000001,0.81,0.8101,0.8102,0.8103,0.8104,0.8105,0.8106,0.8107,0.8108,0.8109,0.8109999999999999,0.8110999999999999,0.8112,0.8113,0.8114,0.8115,0.8116,0.8117000000000001,0.8118000000000001,0.8119000000000001,0.812,0.8121,0.8122,0.8123,0.8124,0.8125,0.8126,0.8127,0.8128,0.8129,0.813,0.8130999999999999,0.8132,0.8133,0.8134,0.8135,0.8136,0.8137000000000001,0.8138000000000001,0.8139000000000001,0.8140000000000001,0.8141,0.8142,0.8143,0.8144,0.8145,0.8146,0.8147,0.8148,0.8149,0.815,0.8150999999999999,0.8152,0.8153,0.8154,0.8155,0.8156,0.8157000000000001,0.8158000000000001,0.8159000000000001,0.8160000000000001,0.8161,0.8162,0.8163,0.8164,0.8165,0.8166,0.8167,0.8168,0.8169,0.817,0.8170999999999999,0.8172,0.8173,0.8174,0.8175,0.8176,0.8177000000000001,0.8178000000000001,0.8179000000000001,0.8180000000000001,0.8181,0.8182,0.8183,0.8184,0.8185,0.8186,0.8187,0.8188,0.8189,0.819,0.8190999999999999,0.8192,0.8193,0.8194,0.8195,0.8196,0.8197000000000001,0.8198000000000001,0.8199000000000001,0.8200000000000001,0.8201,0.8202,0.8203,0.8204,0.8205,0.8206,0.8207,0.8208,0.8209,0.821,0.8210999999999999,0.8212,0.8213,0.8214,0.8215,0.8216,0.8217000000000001,0.8218000000000001,0.8219000000000001,0.8220000000000001,0.8221,0.8222,0.8223,0.8224,0.8225,0.8226,0.8227,0.8228,0.8229,0.823,0.8230999999999999,0.8232,0.8233,0.8234,0.8235,0.8236,0.8237000000000001,0.8238000000000001,0.8239000000000001,0.8240000000000001,0.8241,0.8242,0.8243,0.8244,0.8245,0.8246,0.8247,0.8248,0.8249,0.825,0.8251,0.8251999999999999,0.8253,0.8254,0.8255,0.8256,0.8257,0.8258000000000001,0.8259000000000001,0.8260000000000001,0.8261000000000001,0.8262,0.8263,0.8264,0.8265,0.8266,0.8267,0.8268,0.8269,0.827,0.8271,0.8271999999999999,0.8273,0.8274,0.8275,0.8276,0.8277,0.8278000000000001,0.8279000000000001,0.8280000000000001,0.8281000000000001,0.8282,0.8283,0.8284,0.8285,0.8286,0.8287,0.8288,0.8289,0.829,0.8291,0.8291999999999999,0.8293,0.8294,0.8295,0.8296,0.8297,0.8298000000000001,0.8299000000000001,0.8300000000000001,0.8301000000000001,0.8302,0.8303,0.8304,0.8305,0.8306,0.8307,0.8308,0.8309,0.831,0.8311,0.8311999999999999,0.8313,0.8314,0.8315,0.8316,0.8317,0.8318000000000001,0.8319000000000001,0.8320000000000001,0.8321000000000001,0.8322,0.8323,0.8324,0.8325,0.8326,0.8327,0.8328,0.8329,0.833,0.8331,0.8331999999999999,0.8333,0.8334,0.8335,0.8336,0.8337,0.8338000000000001,0.8339000000000001,0.8340000000000001,0.8341000000000001,0.8342,0.8343,0.8344,0.8345,0.8346,0.8347,0.8348,0.8349,0.835,0.8351,0.8351999999999999,0.8353,0.8354,0.8355,0.8356,0.8357,0.8358000000000001,0.8359000000000001,0.8360000000000001,0.8361000000000001,0.8362,0.8363,0.8364,0.8365,0.8366,0.8367,0.8368,0.8369,0.837,0.8371,0.8371999999999999,0.8372999999999999,0.8374,0.8375,0.8376,0.8377,0.8378,0.8379000000000001,0.8380000000000001,0.8381000000000001,0.8382000000000001,0.8383,0.8384,0.8385,0.8386,0.8387,0.8388,0.8389,0.839,0.8391,0.8392,0.8392999999999999,0.8394,0.8395,0.8396,0.8397,0.8398,0.8399000000000001,0.8400000000000001,0.8401000000000001,0.8402000000000001,0.8403,0.8404,0.8405,0.8406,0.8407,0.8408,0.8409,0.841,0.8411,0.8412,0.8412999999999999,0.8414,0.8415,0.8416,0.8417,0.8418,0.8419000000000001,0.8420000000000001,0.8421000000000001,0.8422000000000001,0.8423,0.8424,0.8425,0.8426,0.8427,0.8428,0.8429,0.843,0.8431,0.8432,0.8432999999999999,0.8434,0.8435,0.8436,0.8437,0.8438,0.8439000000000001,0.8440000000000001,0.8441000000000001,0.8442000000000001,0.8443,0.8444,0.8445,0.8446,0.8447,0.8448,0.8449,0.845,0.8451,0.8452,0.8452999999999999,0.8454,0.8455,0.8456,0.8457,0.8458,0.8459000000000001,0.8460000000000001,0.8461000000000001,0.8462000000000001,0.8463,0.8464,0.8465,0.8466,0.8467,0.8468,0.8469,0.847,0.8471,0.8472,0.8472999999999999,0.8474,0.8475,0.8476,0.8477,0.8478,0.8479000000000001,0.8480000000000001,0.8481000000000001,0.8482000000000001,0.8483,0.8484,0.8485,0.8486,0.8487,0.8488,0.8489,0.849,0.8491,0.8492,0.8492999999999999,0.8494,0.8495,0.8496,0.8497,0.8498,0.8499000000000001,0.8500000000000001,0.8501000000000001,0.8502000000000001,0.8503000000000001,0.8504,0.8505,0.8506,0.8507,0.8508,0.8509,0.851,0.8511,0.8512,0.8513,0.8513999999999999,0.8515,0.8516,0.8517,0.8518,0.8519,0.8520000000000001,0.8521000000000001,0.8522000000000001,0.8523000000000001,0.8524,0.8525,0.8526,0.8527,0.8528,0.8529,0.853,0.8531,0.8532,0.8533,0.8533999999999999,0.8535,0.8536,0.8537,0.8538,0.8539,0.8540000000000001,0.8541000000000001,0.8542000000000001,0.8543000000000001,0.8544,0.8545,0.8546,0.8547,0.8548,0.8549,0.855,0.8551,0.8552,0.8553,0.8553999999999999,0.8555,0.8556,0.8557,0.8558,0.8559,0.8560000000000001,0.8561000000000001,0.8562000000000001,0.8563000000000001,0.8564,0.8565,0.8566,0.8567,0.8568,0.8569,0.857,0.8571,0.8572,0.8573,0.8573999999999999,0.8575,0.8576,0.8577,0.8578,0.8579,0.8580000000000001,0.8581000000000001,0.8582000000000001,0.8583000000000001,0.8584,0.8585,0.8586,0.8587,0.8588,0.8589,0.859,0.8591,0.8592,0.8593,0.8593999999999999,0.8595,0.8596,0.8597,0.8598,0.8599,0.8600000000000001,0.8601000000000001,0.8602000000000001,0.8603000000000001,0.8604,0.8605,0.8606,0.8607,0.8608,0.8609,0.861,0.8611,0.8612,0.8613,0.8613999999999999,0.8615,0.8616,0.8617,0.8618,0.8619,0.8620000000000001,0.8621000000000001,0.8622000000000001,0.8623000000000001,0.8624,0.8625,0.8626,0.8627,0.8628,0.8629,0.863,0.8631,0.8632,0.8633,0.8634,0.8634999999999999,0.8636,0.8637,0.8638,0.8639,0.864,0.8641000000000001,0.8642000000000001,0.8643000000000001,0.8644000000000001,0.8645,0.8646,0.8647,0.8648,0.8649,0.865,0.8651,0.8652,0.8653,0.8654,0.8654999999999999,0.8656,0.8657,0.8658,0.8659,0.866,0.8661000000000001,0.8662000000000001,0.8663000000000001,0.8664000000000001,0.8665,0.8666,0.8667,0.8668,0.8669,0.867,0.8671,0.8672,0.8673,0.8674,0.8674999999999999,0.8676,0.8677,0.8678,0.8679,0.868,0.8681000000000001,0.8682000000000001,0.8683000000000001,0.8684000000000001,0.8685,0.8686,0.8687,0.8688,0.8689,0.869,0.8691,0.8692,0.8693,0.8694,0.8694999999999999,0.8696,0.8697,0.8698,0.8699,0.87,0.8701000000000001,0.8702000000000001,0.8703000000000001,0.8704000000000001,0.8705,0.8706,0.8707,0.8708,0.8709,0.871,0.8711,0.8712,0.8713,0.8714,0.8714999999999999,0.8716,0.8717,0.8718,0.8719,0.872,0.8721000000000001,0.8722000000000001,0.8723000000000001,0.8724000000000001,0.8725,0.8726,0.8727,0.8728,0.8729,0.873,0.8731,0.8732,0.8733,0.8734,0.8734999999999999,0.8736,0.8737,0.8738,0.8739,0.874,0.8741000000000001,0.8742000000000001,0.8743000000000001,0.8744000000000001,0.8745,0.8746,0.8747,0.8748,0.8749,0.875,0.8751,0.8752,0.8753,0.8754,0.8755,0.8756,0.8757,0.8758,0.8759,0.876,0.8761000000000001,0.8762000000000001,0.8763000000000001,0.8764000000000001,0.8765000000000001,0.8766,0.8767,0.8768,0.8769,0.877,0.8771,0.8772,0.8773,0.8774,0.8775,0.8775999999999999,0.8777,0.8778,0.8779,0.878,0.8781,0.8782000000000001,0.8783000000000001,0.8784000000000001,0.8785000000000001,0.8786,0.8787,0.8788,0.8789,0.879,0.8791,0.8792,0.8793,0.8794,0.8795,0.8795999999999999,0.8797,0.8798,0.8799,0.88,0.8801,0.8802000000000001,0.8803000000000001,0.8804000000000001,0.8805000000000001,0.8806,0.8807,0.8808,0.8809,0.881,0.8811,0.8812,0.8813,0.8814,0.8815,0.8815999999999999,0.8817,0.8818,0.8819,0.882,0.8821,0.8822000000000001,0.8823000000000001,0.8824000000000001,0.8825000000000001,0.8826,0.8827,0.8828,0.8829,0.883,0.8831,0.8832,0.8833,0.8834,0.8835,0.8835999999999999,0.8837,0.8838,0.8839,0.884,0.8841,0.8842000000000001,0.8843000000000001,0.8844000000000001,0.8845000000000001,0.8846,0.8847,0.8848,0.8849,0.885,0.8851,0.8852,0.8853,0.8854,0.8855,0.8855999999999999,0.8857,0.8858,0.8859,0.886,0.8861,0.8862000000000001,0.8863000000000001,0.8864000000000001,0.8865000000000001,0.8866,0.8867,0.8868,0.8869,0.887,0.8871,0.8872,0.8873,0.8874,0.8875,0.8876,0.8877,0.8878,0.8879,0.888,0.8881,0.8882000000000001,0.8883000000000001,0.8884000000000001,0.8885000000000001,0.8886000000000001,0.8887,0.8888,0.8889,0.889,0.8891,0.8892,0.8893,0.8894,0.8895,0.8896,0.8897,0.8898,0.8899,0.89,0.8901,0.8902,0.8903000000000001,0.8904000000000001,0.8905000000000001,0.8906000000000001,0.8907,0.8908,0.8909,0.891,0.8911,0.8912,0.8913,0.8914,0.8915,0.8916,0.8916999999999999,0.8918,0.8919,0.892,0.8921,0.8922,0.8923000000000001,0.8924000000000001,0.8925000000000001,0.8926000000000001,0.8927,0.8928,0.8929,0.893,0.8931,0.8932,0.8933,0.8934,0.8935,0.8936,0.8936999999999999,0.8938,0.8939,0.894,0.8941,0.8942,0.8943000000000001,0.8944000000000001,0.8945000000000001,0.8946000000000001,0.8947,0.8948,0.8949,0.895,0.8951,0.8952,0.8953,0.8954,0.8955,0.8956,0.8956999999999999,0.8958,0.8959,0.896,0.8961,0.8962,0.8963000000000001,0.8964000000000001,0.8965000000000001,0.8966000000000001,0.8967,0.8968,0.8969,0.897,0.8971,0.8972,0.8973,0.8974,0.8975,0.8976,0.8976999999999999,0.8978,0.8979,0.898,0.8981,0.8982,0.8983000000000001,0.8984000000000001,0.8985000000000001,0.8986000000000001,0.8987,0.8988,0.8989,0.899,0.8991,0.8992,0.8993,0.8994,0.8995,0.8996,0.8996999999999999,0.8998,0.8999,0.9,0.9001,0.9002,0.9003000000000001,0.9004000000000001,0.9005000000000001,0.9006000000000001,0.9007000000000001,0.9008,0.9009,0.901,0.9011,0.9012,0.9013,0.9014,0.9015,0.9016,0.9017,0.9018,0.9019,0.902,0.9021,0.9022,0.9023000000000001,0.9024000000000001,0.9025000000000001,0.9026000000000001,0.9027000000000001,0.9028,0.9029,0.903,0.9031,0.9032,0.9033,0.9034,0.9035,0.9036,0.9037,0.9037999999999999,0.9039,0.904,0.9041,0.9042,0.9043,0.9044000000000001,0.9045000000000001,0.9046000000000001,0.9047000000000001,0.9048,0.9049,0.905,0.9051,0.9052,0.9053,0.9054,0.9055,0.9056,0.9057,0.9057999999999999,0.9059,0.906,0.9061,0.9062,0.9063,0.9064000000000001,0.9065000000000001,0.9066000000000001,0.9067000000000001,0.9068,0.9069,0.907,0.9071,0.9072,0.9073,0.9074,0.9075,0.9076,0.9077,0.9077999999999999,0.9079,0.908,0.9081,0.9082,0.9083,0.9084000000000001,0.9085000000000001,0.9086000000000001,0.9087000000000001,0.9088,0.9089,0.909,0.9091,0.9092,0.9093,0.9094,0.9095,0.9096,0.9097,0.9097999999999999,0.9099,0.91,0.9101,0.9102,0.9103,0.9104000000000001,0.9105000000000001,0.9106000000000001,0.9107000000000001,0.9108,0.9109,0.911,0.9111,0.9112,0.9113,0.9114,0.9115,0.9116,0.9117,0.9117999999999999,0.9119,0.912,0.9121,0.9122,0.9123,0.9124000000000001,0.9125000000000001,0.9126000000000001,0.9127000000000001,0.9128000000000001,0.9129,0.913,0.9131,0.9132,0.9133,0.9134,0.9135,0.9136,0.9137,0.9138,0.9139,0.914,0.9141,0.9142,0.9143,0.9144000000000001,0.9145000000000001,0.9146000000000001,0.9147000000000001,0.9148000000000001,0.9149,0.915,0.9151,0.9152,0.9153,0.9154,0.9155,0.9156,0.9157,0.9158,0.9159,0.916,0.9161,0.9162,0.9163,0.9164,0.9165000000000001,0.9166000000000001,0.9167000000000001,0.9168000000000001,0.9169,0.917,0.9171,0.9172,0.9173,0.9174,0.9175,0.9176,0.9177,0.9178,0.9178999999999999,0.918,0.9181,0.9182,0.9183,0.9184,0.9185000000000001,0.9186000000000001,0.9187000000000001,0.9188000000000001,0.9189,0.919,0.9191,0.9192,0.9193,0.9194,0.9195,0.9196,0.9197,0.9198,0.9198999999999999,0.92,0.9201,0.9202,0.9203,0.9204,0.9205000000000001,0.9206000000000001,0.9207000000000001,0.9208000000000001,0.9209,0.921,0.9211,0.9212,0.9213,0.9214,0.9215,0.9216,0.9217,0.9218,0.9218999999999999,0.922,0.9221,0.9222,0.9223,0.9224,0.9225000000000001,0.9226000000000001,0.9227000000000001,0.9228000000000001,0.9229,0.923,0.9231,0.9232,0.9233,0.9234,0.9235,0.9236,0.9237,0.9238,0.9238999999999999,0.924,0.9241,0.9242,0.9243,0.9244,0.9245000000000001,0.9246000000000001,0.9247000000000001,0.9248000000000001,0.9249,0.925,0.9251,0.9252,0.9253,0.9254,0.9255,0.9256,0.9257,0.9258,0.9259,0.926,0.9261,0.9262,0.9263,0.9264,0.9265000000000001,0.9266000000000001,0.9267000000000001,0.9268000000000001,0.9269000000000001,0.927,0.9271,0.9272,0.9273,0.9274,0.9275,0.9276,0.9277,0.9278,0.9279,0.928,0.9281,0.9282,0.9283,0.9284,0.9285000000000001,0.9286000000000001,0.9287000000000001,0.9288000000000001,0.9289000000000001,0.929,0.9291,0.9292,0.9293,0.9294,0.9295,0.9296,0.9297,0.9298,0.9299,0.9299999999999999,0.9301,0.9302,0.9303,0.9304,0.9305,0.9306000000000001,0.9307000000000001,0.9308000000000001,0.9309000000000001,0.931,0.9311,0.9312,0.9313,0.9314,0.9315,0.9316,0.9317,0.9318,0.9319,0.9319999999999999,0.9321,0.9322,0.9323,0.9324,0.9325,0.9326000000000001,0.9327000000000001,0.9328000000000001,0.9329000000000001,0.933,0.9331,0.9332,0.9333,0.9334,0.9335,0.9336,0.9337,0.9338,0.9339,0.9339999999999999,0.9341,0.9342,0.9343,0.9344,0.9345,0.9346000000000001,0.9347000000000001,0.9348000000000001,0.9349000000000001,0.935,0.9351,0.9352,0.9353,0.9354,0.9355,0.9356,0.9357,0.9358,0.9359,0.9359999999999999,0.9361,0.9362,0.9363,0.9364,0.9365,0.9366000000000001,0.9367000000000001,0.9368000000000001,0.9369000000000001,0.937,0.9371,0.9372,0.9373,0.9374,0.9375,0.9376,0.9377,0.9378,0.9379,0.938,0.9381,0.9382,0.9383,0.9384,0.9385,0.9386000000000001,0.9387000000000001,0.9388000000000001,0.9389000000000001,0.9390000000000001,0.9391,0.9392,0.9393,0.9394,0.9395,0.9396,0.9397,0.9398,0.9399,0.94,0.9401,0.9402,0.9403,0.9404,0.9405,0.9406000000000001,0.9407000000000001,0.9408000000000001,0.9409000000000001,0.9410000000000001,0.9411,0.9412,0.9413,0.9414,0.9415,0.9416,0.9417,0.9418,0.9419,0.942,0.9421,0.9422,0.9423,0.9424,0.9425,0.9426000000000001,0.9427000000000001,0.9428000000000001,0.9429000000000001,0.9430000000000001,0.9431,0.9432,0.9433,0.9434,0.9435,0.9436,0.9437,0.9438,0.9439,0.944,0.9440999999999999,0.9442,0.9443,0.9444,0.9445,0.9446,0.9447000000000001,0.9448000000000001,0.9449000000000001,0.9450000000000001,0.9451,0.9452,0.9453,0.9454,0.9455,0.9456,0.9457,0.9458,0.9459,0.946,0.9460999999999999,0.9462,0.9463,0.9464,0.9465,0.9466,0.9467000000000001,0.9468000000000001,0.9469000000000001,0.9470000000000001,0.9471,0.9472,0.9473,0.9474,0.9475,0.9476,0.9477,0.9478,0.9479,0.948,0.9480999999999999,0.9482,0.9483,0.9484,0.9485,0.9486,0.9487000000000001,0.9488000000000001,0.9489000000000001,0.9490000000000001,0.9491,0.9492,0.9493,0.9494,0.9495,0.9496,0.9497,0.9498,0.9499,0.95,0.9501,0.9502,0.9503,0.9504,0.9505,0.9506,0.9507000000000001,0.9508000000000001,0.9509000000000001,0.9510000000000001,0.9511000000000001,0.9512,0.9513,0.9514,0.9515,0.9516,0.9517,0.9518,0.9519,0.952,0.9521,0.9522,0.9523,0.9524,0.9525,0.9526,0.9527000000000001,0.9528000000000001,0.9529000000000001,0.9530000000000001,0.9531000000000001,0.9532,0.9533,0.9534,0.9535,0.9536,0.9537,0.9538,0.9539,0.954,0.9541,0.9542,0.9543,0.9544,0.9545,0.9546,0.9547000000000001,0.9548000000000001,0.9549000000000001,0.9550000000000001,0.9551000000000001,0.9552,0.9553,0.9554,0.9555,0.9556,0.9557,0.9558,0.9559,0.956,0.9561,0.9561999999999999,0.9563,0.9564,0.9565,0.9566,0.9567,0.9568000000000001,0.9569000000000001,0.9570000000000001,0.9571000000000001,0.9572,0.9573,0.9574,0.9575,0.9576,0.9577,0.9578,0.9579,0.958,0.9581,0.9581999999999999,0.9583,0.9584,0.9585,0.9586,0.9587,0.9588000000000001,0.9589000000000001,0.9590000000000001,0.9591000000000001,0.9592,0.9593,0.9594,0.9595,0.9596,0.9597,0.9598,0.9599,0.96,0.9601,0.9601999999999999,0.9603,0.9604,0.9605,0.9606,0.9607,0.9608000000000001,0.9609000000000001,0.9610000000000001,0.9611000000000001,0.9612,0.9613,0.9614,0.9615,0.9616,0.9617,0.9618,0.9619,0.962,0.9621,0.9621999999999999,0.9623,0.9624,0.9625,0.9626,0.9627,0.9628000000000001,0.9629000000000001,0.9630000000000001,0.9631000000000001,0.9632000000000001,0.9633,0.9634,0.9635,0.9636,0.9637,0.9638,0.9639,0.964,0.9641,0.9642,0.9643,0.9644,0.9645,0.9646,0.9647,0.9648000000000001,0.9649000000000001,0.9650000000000001,0.9651000000000001,0.9652000000000001,0.9653,0.9654,0.9655,0.9656,0.9657,0.9658,0.9659,0.966,0.9661,0.9662,0.9663,0.9664,0.9665,0.9666,0.9667,0.9668000000000001,0.9669000000000001,0.9670000000000001,0.9671000000000001,0.9672000000000001,0.9673,0.9674,0.9675,0.9676,0.9677,0.9678,0.9679,0.968,0.9681,0.9682,0.9683,0.9684,0.9685,0.9686,0.9687,0.9688000000000001,0.9689000000000001,0.9690000000000001,0.9691000000000001,0.9692000000000001,0.9693,0.9694,0.9695,0.9696,0.9697,0.9698,0.9699,0.97,0.9701,0.9702,0.9702999999999999,0.9704,0.9705,0.9706,0.9707,0.9708,0.9709000000000001,0.9710000000000001,0.9711000000000001,0.9712000000000001,0.9713,0.9714,0.9715,0.9716,0.9717,0.9718,0.9719,0.972,0.9721,0.9722,0.9722999999999999,0.9724,0.9725,0.9726,0.9727,0.9728,0.9729000000000001,0.9730000000000001,0.9731000000000001,0.9732000000000001,0.9733,0.9734,0.9735,0.9736,0.9737,0.9738,0.9739,0.974,0.9741,0.9742,0.9742999999999999,0.9744,0.9745,0.9746,0.9747,0.9748,0.9749000000000001,0.9750000000000001,0.9751000000000001,0.9752000000000001,0.9753000000000001,0.9754,0.9755,0.9756,0.9757,0.9758,0.9759,0.976,0.9761,0.9762,0.9763,0.9764,0.9765,0.9766,0.9767,0.9768,0.9769000000000001,0.9770000000000001,0.9771000000000001,0.9772000000000001,0.9773000000000001,0.9774,0.9775,0.9776,0.9777,0.9778,0.9779,0.978,0.9781,0.9782,0.9783,0.9784,0.9785,0.9786,0.9787,0.9788,0.9789000000000001,0.9790000000000001,0.9791000000000001,0.9792000000000001,0.9793000000000001,0.9794,0.9795,0.9796,0.9797,0.9798,0.9799,0.98,0.9801,0.9802,0.9803,0.9804,0.9805,0.9806,0.9807,0.9808,0.9809000000000001,0.9810000000000001,0.9811000000000001,0.9812000000000001,0.9813000000000001,0.9814,0.9815,0.9816,0.9817,0.9818,0.9819,0.982,0.9821,0.9822,0.9823,0.9823999999999999,0.9825,0.9826,0.9827,0.9828,0.9829,0.9830000000000001,0.9831000000000001,0.9832000000000001,0.9833000000000001,0.9834,0.9835,0.9836,0.9837,0.9838,0.9839,0.984,0.9841,0.9842,0.9843,0.9843999999999999,0.9845,0.9846,0.9847,0.9848,0.9849,0.9850000000000001,0.9851000000000001,0.9852000000000001,0.9853000000000001,0.9854,0.9855,0.9856,0.9857,0.9858,0.9859,0.986,0.9861,0.9862,0.9863,0.9863999999999999,0.9865,0.9866,0.9867,0.9868,0.9869,0.9870000000000001,0.9871000000000001,0.9872000000000001,0.9873000000000001,0.9874,0.9875,0.9876,0.9877,0.9878,0.9879,0.988,0.9881,0.9882,0.9883,0.9884,0.9885,0.9886,0.9887,0.9888,0.9889,0.9890000000000001,0.9891000000000001,0.9892000000000001,0.9893000000000001,0.9894000000000001,0.9895,0.9896,0.9897,0.9898,0.9899,0.99,0.9901,0.9902,0.9903,0.9904,0.9905,0.9906,0.9907,0.9908,0.9909,0.9910000000000001,0.9911000000000001,0.9912000000000001,0.9913000000000001,0.9914000000000001,0.9915,0.9916,0.9917,0.9918,0.9919,0.992,0.9921,0.9922,0.9923,0.9924,0.9925,0.9926,0.9927,0.9928,0.9929,0.9930000000000001,0.9931000000000001,0.9932000000000001,0.9933000000000001,0.9934000000000001,0.9935,0.9936,0.9937,0.9938,0.9939,0.994,0.9941,0.9942,0.9943,0.9944,0.9945,0.9946,0.9947,0.9948,0.9949,0.9950000000000001,0.9951000000000001,0.9952000000000001,0.9953000000000001,0.9954000000000001,0.9955,0.9956,0.9957,0.9958,0.9959,0.996,0.9961,0.9962,0.9963,0.9964,0.9964999999999999,0.9966,0.9967,0.9968,0.9969,0.997,0.9971000000000001,0.9972000000000001,0.9973000000000001,0.9974000000000001,0.9975,0.9976,0.9977,0.9978,0.9979,0.998,0.9981,0.9982,0.9983,0.9984,0.9984999999999999,0.9986,0.9987,0.9988,0.9989,0.999,0.9991000000000001,0.9992000000000001,0.9993000000000001,0.9994000000000001,0.9995,0.9996,0.9997,0.9998,0.9999,1.0],\\\"y\\\":[0.9508155546388563,0.9506910741356586,0.9506651698549771,0.9506711853536562,0.9506772008523354,0.9506832163510146,0.9506871986227214,0.9506800060424616,0.9506482840438271,0.9506144991355673,0.9506030763864832,0.9505714998998305,0.950580356698981,0.9505871642819146,0.9505810270039929,0.950568855103157,0.9505768309356801,0.9505743588147311,0.9505584725373131,0.9505676741270266,0.9505768757167401,0.9505851851428584,0.9505844217776228,0.9505806574585094,0.9505847572166033,0.9505939492501186,0.950603141283634,0.9506032102595723,0.9505960808035483,0.9505793304201857,0.9505571704550051,0.9505665057241219,0.950575840993239,0.950585176262356,0.9505924961168748,0.9505874862496472,0.9505640650225491,0.9505659634196605,0.9505698590399219,0.9505573653045869,0.9505618532434448,0.9505710997491958,0.9505749430552592,0.9505547543996293,0.9505403086730875,0.9505341130593967,0.9505288565201437,0.9505331090973902,0.9505415027432333,0.9505484508875083,0.9505499466628333,0.9505414037427171,0.9505236391789935,0.9505328822498149,0.9505421831267821,0.9505453277287985,0.9505387138541459,0.950541468145373,0.9505507605734924,0.9505599658797803,0.9505678314822471,0.9505679470167518,0.950567092809389,0.9505657786815798,0.9505645920453785,0.9505738717259068,0.9505831514064351,0.9505924228708786,0.9506014731620223,0.9506052970951764,0.9506011487089903,0.9505884448045047,0.9505856811210193,0.9505760911605144,0.9505813424558056,0.95059034320216,0.9505993439485143,0.9506068909145844,0.9506049306483069,0.9506000468451965,0.9505937363581312,0.9506029269605187,0.9506089740471986,0.9506094570813107,0.9506093434728475,0.9506099798648849,0.9506191585806145,0.9506283630398894,0.9506351782917334,0.9506397327107281,0.9506407421921778,0.9506437964242864,0.9506466683629178,0.9506386856946083,0.9506230301077665,0.9506143481292068,0.9506185746050364,0.9506273537859425,0.9506361329668486,0.9506449121477547,0.9506536913286607,0.9506597968322367,0.9506376541312955,0.9506000442334388,0.9505752553164306,0.9505615564205097,0.950565156892607,0.9505740331375482,0.9505829093824893,0.9505917856274304,0.950596290397757,0.9505888600644821,0.9505839138137407,0.950589577735609,0.9505766835942873,0.9505579505868359,0.9505670776708907,0.9505762047549454,0.9505853318390002,0.9505944570789482,0.9506035099319472,0.9506102865371513,0.95060587555322,0.9505957763132737,0.9505878151023046,0.9505769055055593,0.9505815558036755,0.9505905489366325,0.9505995420695895,0.9506084952339839,0.9506166024505596,0.9506012595075353,0.9505699326311099,0.9505532277798213,0.9505560448297505,0.9505649596778447,0.9505738745259387,0.9505827866858151,0.9505836408115134,0.9505810081276136,0.9505738883206256,0.9505741984216737,0.950583102695701,0.9505920460170649,0.9505985121844944,0.9505871417293092,0.9505626580502811,0.9505640581391239,0.9505719872681695,0.9505811144708558,0.9505902416735423,0.9505993657453529,0.9506044523334087,0.950586018905225,0.9505431571720403,0.9505261794307123,0.9505081107890461,0.9505168963175951,0.9505260141914535,0.950535132065312,0.950543719213652,0.9505490881066483,0.9505505298373484,0.9505355885171369,0.9505301122077755,0.9505245571567352,0.9505262504217229,0.9505353495085966,0.9505444485954704,0.9505535476823441,0.9505626450257907,0.9505683830880636,0.950556347906552,0.950540069587966,0.9505370606483221,0.9505461376523237,0.9505552146563252,0.9505642916603267,0.9505733686643283,0.9505656070675326,0.9505539422795328,0.95055737455943,0.9505664444614661,0.9505755109364179,0.9505807944205222,0.9505760123166874,0.9505616006986638,0.9505491410215731,0.9505582002785824,0.9505672595355918,0.9505763187926012,0.9505853705901379,0.9505892663936462,0.9505871158763846,0.9505797686686532,0.9505783355210109,0.9505794103768397,0.9505747991348237,0.9505733284719566,0.9505738600895072,0.9505820512443581,0.9505902423992092,0.95059843355406,0.9506066195179829,0.9506038560134153,0.9505844789084335,0.9505433990062013,0.9505202772986292,0.9505006902735705,0.9505031195272583,0.9505111312244734,0.9505147543000528,0.9505060049362,0.9504976587817094,0.9504741875137487,0.9504546289146916,0.9504497020194589,0.9504574139302582,0.9504664364746358,0.9504749930770899,0.950478264115263,0.9504552281238521,0.9504533772295218,0.9504623946296834,0.950465767962938,0.9504601809039191,0.9504339171981608,0.9504315760389462,0.9504404291986717,0.9504449590944818,0.9504329625724197,0.9504172582921435,0.9504229510195545,0.9504319542337282,0.9504409574479018,0.9504499606620753,0.9504589588066568,0.9504644252403959,0.9504620498195873,0.950452511131753,0.9504497290527294,0.9504583932864208,0.9504542002765421,0.9504461418341892,0.9504541228800287,0.9504631010829173,0.9504720792858057,0.9504798394548355,0.9504797892906087,0.9504678482113522,0.9504617177626802,0.950461256220664,0.9504535264420715,0.9504609381249942,0.9504695969801007,0.9504770952849305,0.9504773296037462,0.9504645347916327,0.9504559691239423,0.9504627487403858,0.9504466834690612,0.9504390144255392,0.9504466027400187,0.9504555520224471,0.9504644993133642,0.950473103745721,0.95047714295241,0.9504674505075215,0.9504506678960922,0.9504558167205412,0.9504535971933112,0.9504535896227526,0.9504625204101991,0.9504714511976455,0.9504706784592903,0.9504452217000023,0.9504166306312694,0.9503892726825207,0.9503732890287171,0.9503783984835579,0.9503851306868552,0.9503895243111051,0.9503883205308367,0.9503968579095493,0.950405395288262,0.9504139326669746,0.9504224677964863,0.9504295682960086,0.9504294339357662,0.9504056140587391,0.9503941866095171,0.950381173296187,0.9503677071839777,0.950376065187332,0.9503814477230822,0.950383202362864,0.9503907526749995,0.9503996562854302,0.9504085583429814,0.9504171463775899,0.9504186703913169,0.9504244831722304,0.9504148624806097,0.9503993523483346,0.9504031442529282,0.9504120283981734,0.9504151323112053,0.9503982849725958,0.9504064088958646,0.9504150486604892,0.9504182459648302,0.9503865789502108,0.9503346504758278,0.9503400684876867,0.9503405190333983,0.9503318188910561,0.9503285180097494,0.9503173786942046,0.9502942574495513,0.9502795700805877,0.9502693372772585,0.9502740874040583,0.9502788375308578,0.9502829772526186,0.9502819894094942,0.9502690657039623,0.9502751692314964,0.9502840366700891,0.9502845896576939,0.9502888367138895,0.9502836132497074,0.9502899567632728,0.9502988211671693,0.9503063830733054,0.9502985631949341,0.9502863225825227,0.95028338407583,0.9502840387950349,0.950292088981567,0.9502959490303342,0.9502857671665861,0.9502753508380242,0.9502769000497404,0.9502696736850077,0.9502768444023368,0.9502856792807616,0.9502945141591863,0.9503033490376109,0.9503121839160358,0.9503210187944605,0.9503283638919564,0.9503261464246942,0.9503349791500156,0.9503438055045634,0.9503524921360659,0.9503546119176953,0.9503430260552271,0.9503201835106768,0.9502905369863164,0.9502820690193444,0.9502888919119207,0.950297017832263,0.9503051437526053,0.9503132696729477,0.9503213955932901,0.9503259635406966,0.9503038431691202,0.9502759731794616,0.9502697136231859,0.9502784149907706,0.9502814854984437,0.9502556088998768,0.9502470829037745,0.9502442935209441,0.9502510528234087,0.9502370995355327,0.9502448493440931,0.9502321164226961,0.950217663117605,0.950226301414014,0.9502349397104228,0.9502435780068318,0.9502522163032407,0.950260684191864,0.9502659333393988,0.9502643057296595,0.9502581810219268,0.9502603126129019,0.9502690792748065,0.9502769087178592,0.9502822310276762,0.9502727984690436,0.9502651783117447,0.9502724651352574,0.9502812221862708,0.9502899792372839,0.9502980153524899,0.9502942947987483,0.9502840596068933,0.9502928014689256,0.950301543330958,0.9503102851929902,0.9503190270550226,0.9503277689170548,0.9503365107790871,0.9503452526411194,0.9503539843337132,0.9503616744549502,0.9503598476506252,0.9503530051293184,0.9503580997456917,0.9503637898101734,0.9503540011646381,0.9503513434790414,0.9503600037633744,0.9503686640477074,0.9503773243320404,0.9503859846163735,0.9503946449007064,0.9504033051850395,0.9504119611034713,0.9504175869351019,0.950409950260978,0.950400615552258,0.950398961689812,0.950386642418567,0.9503851078226423,0.9503937956711707,0.950402483519699,0.9504106837311792,0.9504147258083688,0.9504088306393371,0.9503892622299771,0.9503797774662843,0.9503839880868128,0.9503918151378639,0.950400487420497,0.9504091597031299,0.9504178319857628,0.9504265016623321,0.9504348640436144,0.9504284574413135,0.9504021958903324,0.9503919356058537,0.9503961821779718,0.9504046819546916,0.9504131817314114,0.9504216815081311,0.9504204605508364,0.9504193562560467,0.9504045549817939,0.95040507809632,0.950410605810317,0.9504086663289311,0.9503988283696948,0.9504009023473505,0.9504090423703935,0.9504171823934364,0.9504236559049238,0.9504041550359092,0.9503833048197243,0.9503761826384047,0.9503680812848951,0.9503689702866623,0.9503774171884751,0.9503858640902879,0.9503939712442653,0.9503904980239442,0.9503661350914419,0.9503462293661332,0.9503441252791818,0.9503526464899877,0.9503611677007936,0.9503696889115996,0.9503782101224054,0.9503867313332114,0.9503937816758803,0.9503866625476793,0.9503617645922203,0.9503483490179646,0.9503531514416635,0.9503617592714708,0.9503703671012779,0.9503714668101799,0.9503619867259154,0.9503568995274052,0.9503511209228959,0.9503288729087558,0.9503347199719299,0.9503421119699992,0.9503495039680685,0.9503568959661378,0.9503566773348271,0.950355059749791,0.9503431730275613,0.9503101208487139,0.9502968822229533,0.9503046711227776,0.9503132559241396,0.9503218407255014,0.9503304255268634,0.9503387458722057,0.9503334860671784,0.9503151615940785,0.9503175854649224,0.9503261634145745,0.9503333391762983,0.9503328427402817,0.9503265750186767,0.9503260465057559,0.9503305542351721,0.9503391173324132,0.9503476804296542,0.9503545124771811,0.9503522925832234,0.9503478602541983,0.9503398921882342,0.9503468531952095,0.9503554051468909,0.9503639570985722,0.9503715835614728,0.9503785425922366,0.9503729066878936,0.9503675192414208,0.9503723248082663,0.950380662639787,0.9503811288276923,0.9503760700485059,0.9503692787554964,0.9503689058461335,0.9503588348056105,0.9503540830728363,0.9503625416566428,0.9503710002404493,0.9503792076641435,0.9503836998344566,0.9503718676653636,0.9503748108266418,0.9503832617577286,0.9503917126888154,0.9504001636199022,0.950408614550989,0.9504171136390747,0.9504229874002579,0.9504255612277313,0.9504241469528789,0.9504213107782523,0.9504170505368539,0.9504217584005191,0.9504290446051714,0.9504355236045802,0.9504397213387555,0.9504406004039712,0.9504292937889254,0.9504028188117295,0.950388417395513,0.9503952529000166,0.9503955907216002,0.9504018470537743,0.9504082651562265,0.9504146832586784,0.9504211013611304,0.9504275194635825,0.9504339375660347,0.950435420305715,0.9504316647296326,0.9504307557962328,0.9504205922596887,0.9504194095111362,0.9504181453974884,0.9504196102886319,0.9504206183606898,0.9504238345790327,0.9504322903516167,0.9504406269816092,0.9504430004926059,0.950431370186365,0.950429085882764,0.9504368313184937,0.9504387217618275,0.9504321103450568,0.9504405479225543,0.9504489855000517,0.9504574230775491,0.9504658606550466,0.950473163182847,0.9504774282281085,0.9504730888007007,0.9504620916614932,0.9504618901700832,0.9504595101142161,0.9504674700352367,0.9504758406524525,0.9504842112696681,0.9504925818868838,0.9505009447751903,0.9505042743625021,0.9504998168257836,0.950490697659278,0.950489800967305,0.9504894999364475,0.9504920022076166,0.9504836822811247,0.9504578783089115,0.9504662779784144,0.9504686493779635,0.9504530643479918,0.9504300495966538,0.9504384489400962,0.9504468482835386,0.9504539850342355,0.9504579900601664,0.9504596438263773,0.9504606896505379,0.9504689101986354,0.950476827001314,0.9504817586005243,0.9504826573244767,0.9504867162575725,0.9504950943033175,0.9505034723490624,0.9505118480651882,0.9505185193903136,0.9505131936336647,0.9505010191166612,0.9504859464796194,0.9504860622549622,0.9504826929687151,0.950470367127997,0.950472491302553,0.9504736668079796,0.950464202297843,0.9504492952007364,0.9504438626098937,0.950435903117125,0.9504383845848827,0.9504467387499173,0.9504550929149518,0.9504634470799863,0.9504718012450208,0.9504801524230369,0.9504875311387548,0.9504914005665939,0.950490405264139,0.9504787739274814,0.9504649426202892,0.9504683974873733,0.9504756956398326,0.9504833623387312,0.9504903957247642,0.9504847811402111,0.9504620304855211,0.9504423012761462,0.9504409508905673,0.9504492817582288,0.9504576122699563,0.9504658010339488,0.9504739765904057,0.95048147101422,0.9504826309231929,0.9504743870631256,0.9504733408118268,0.9504635739943073,0.9504598259448883,0.9504653210237064,0.9504727879234681,0.9504802548232298,0.9504877217229915,0.9504951886227531,0.9505026555225147,0.9505101224222763,0.950517589322038,0.9505250562217996,0.9505267924682042,0.9505309987120971,0.9505308357097205,0.9505257366005228,0.9505178055833458,0.9505099177733465,0.9505123121573068,0.9505135677020421,0.9505191886413731,0.9505193743013973,0.9505276485383626,0.950535922775328,0.9505359852088591,0.9505294340853767,0.9505232796432614,0.9505263577443304,0.9505317571517093,0.9505278041767515,0.9505243018941419,0.9505291454367061,0.9505374064041472,0.9505451375531858,0.9505490686883863,0.9505457931702401,0.9505270410848463,0.9505039733085822,0.950497931706648,0.9505012549922394,0.9505095067379867,0.9505177584837339,0.9505239894681013,0.9505165659115813,0.950496323734698,0.9504965257444111,0.9504994551566556,0.9504988306964077,0.9504906763818133,0.9504923722588927,0.950500608172584,0.9505088440862752,0.9505170799999666,0.9505253159136579,0.950533551827349,0.9505417844642292,0.9505389941443427,0.950521068000435,0.950504881319735,0.9504852647295232,0.9504828357682735,0.9504910542920477,0.9504992728158217,0.9505074913395957,0.9505157098633699,0.950523928387144,0.950532146910918,0.9505403605113185,0.9505483317230632,0.9505497523261393,0.9505438963855444,0.9505253674373852,0.9505131573625367,0.9505202965971282,0.9505274358317197,0.9505345750663112,0.9505417143009026,0.9505432926595265,0.9505373137579567,0.950527494775179,0.9505236846337448,0.9505161479124593,0.9505177716237754,0.9505259529117485,0.9505341341997213,0.9505423154876942,0.950550496775667,0.9505586780636399,0.950566859351613,0.9505750401059101,0.9505831516609162,0.9505898292864403,0.9505914146074139,0.9505842197490334,0.950568582122054,0.9505594286396692,0.9505460923056652,0.9505450289516741,0.9505524071681537,0.9505597853846335,0.9505475408395685,0.9505298092904833,0.9505308816800953,0.9505377599539961,0.9505363704195428,0.9505151816109298,0.9505233342122943,0.9505314868136587,0.950539639415023,0.9505477920163874,0.9505559417819147,0.9505640872560723,0.9505719856120098,0.950572967538402,0.950557471361968,0.9505312996338984,0.9505232670603221,0.950531401325662,0.9505395355910018,0.9505476698563418,0.9505558041216815,0.9505639373759366,0.9505718533733576,0.95057604927676,0.9505647598489508,0.9505438021063966,0.9505320403440958,0.950535730713556,0.9505438481079659,0.9505519655023758,0.9505600828967855,0.9505682002911955,0.9505763176856052,0.9505824897680375,0.9505771684127154,0.9505467323206194,0.9505209014709901,0.9505242288390561,0.9505321934404365,0.9505401580418169,0.9505481226431973,0.9505560872445777,0.950564051845958,0.9505717483019357,0.9505783833382134,0.9505823379250573,0.9505707062691137,0.950529141304585,0.950491452195853,0.9504857518200941,0.950493848741498,0.950501945662902,0.9505100421889592,0.9505181354203937,0.950522607642734,0.9504915853884195,0.9504542790306886,0.9504319717899592,0.950428205387501,0.9504362947891629,0.950444384190825,0.950452473592487,0.9504605629941489,0.9504686503667971,0.9504717225434609,0.9504689126782901,0.9504653715487918,0.9504626439607056,0.9504701321263924,0.9504744277247443,0.950472777484707,0.9504687389201145,0.950471283498749,0.950477984802487,0.9504853761526362,0.9504934483128393,0.9505015131244747,0.9505093723269739,0.9505079383061185,0.9505001876257033,0.9504946226468087,0.9504919214110074,0.9504999706469,0.9505080198827924,0.950516069118685,0.9505238032783456,0.9505294967505391,0.9505252318324391,0.9505087789645428,0.9504951775122992,0.9504875548639169,0.9504814828924516,0.9504848609737226,0.9504929016539407,0.9505003810038881,0.9505026401637657,0.9504921589023934,0.9504874565163957,0.9504878616863911,0.9504856856002124,0.9504846650762029,0.9504834622996727,0.9504752413068751,0.9504719211268366,0.9504704028146773,0.9504784232596661,0.950486443704655,0.950494464149644,0.9505024845946328,0.9505105050396218,0.9505157412093215,0.9505063119562729,0.9504881760610304,0.9504702692964545,0.9504601861655846,0.9504681915207456,0.9504761968759063,0.9504842022310673,0.9504922075862282,0.9505002129413891,0.9505082182965501,0.9505159956713157,0.9505217086488296,0.9505140197174274,0.9504884547748339,0.9504897089759583,0.9504768569086368,0.9504729516646565,0.9504809474027452,0.9504879565407823,0.9504900727182555,0.9504843287613877,0.9504636307107002,0.9504498004656596,0.9504577435221565,0.9504656865786534,0.9504736296351504,0.9504815726916472,0.9504895157481441,0.9504950169419417,0.9504846126772082,0.950439865953356,0.9504259414565492,0.9504141371472796,0.9504219016696747,0.9504296661920698,0.950437430714465,0.9504451952368599,0.9504410512537924,0.9504249113042111,0.9504247998359787,0.950429729168139,0.9504273280236406,0.9504160078371033,0.9504086169172292,0.9504165772715147,0.9504245376258003,0.9504324979800858,0.9504404583343711,0.9504484129023698,0.9504560746912212,0.9504564951982493,0.9504548982368319,0.9504482010872186,0.9504533713472321,0.9504613204944454,0.9504692696416586,0.9504772186032842,0.9504851590164953,0.9504922703789973,0.9504907993219815,0.9504880426381992,0.950481751007872,0.9504767967981438,0.9504694359742103,0.9504773614964603,0.9504852870187106,0.9504932125409608,0.9505011380632109,0.9505090635854612,0.9505146224306973,0.9505138918471303,0.9505008007988927,0.9504801055971727,0.9504691273395804,0.9504693709696812,0.9504772436326535,0.9504851162956258,0.9504929889585982,0.9505008616215704,0.9505050371558426,0.9504978512351615,0.9504902620369631,0.9504869004349243,0.9504758610865023,0.9504574772106621,0.9504651769152928,0.9504730023539597,0.9504808260866047,0.9504775499173057,0.9504717106689968,0.9504561309953392,0.9504456262893124,0.9504494955429632,0.9504573438791069,0.9504649571277621,0.9504630350416754,0.9504569624906383,0.9504529625265812,0.9504586200875134,0.950461340563296,0.9504592985288178,0.9504549606504826,0.950449455411567,0.9504476019486685,0.9504274790703574,0.9503956903228709,0.9503729211776826,0.9503639938470623,0.9503692866755262,0.9503745795039903,0.9503797521378452,0.9503684845669272,0.9503543480965488,0.9503613606471855,0.9503689148802943,0.9503730185791632,0.9503600423875955,0.9503433457784526,0.9503509293762675,0.9503585129740824,0.9503660965718973,0.9503736801697122,0.9503812637675271,0.9503888473653419,0.950396430963157,0.9504040145609718,0.9504113506963693,0.9504116046038495,0.9503928116957295,0.9503602365372614,0.9503494355797513,0.9503572875453744,0.9503651395109974,0.9503729914766206,0.9503808434422434,0.9503886954078665,0.9503965473734896,0.9504043968156787,0.95041224343805,0.9504160142412834,0.9504151799717799,0.9504086221247476,0.9503934200706907,0.9503796966188822,0.9503655258661388,0.9503713082349707,0.9503791435677109,0.9503869789004509,0.950394814233191,0.9503815229763444,0.9503496733128965,0.9503380515058438,0.9503346848917076,0.950333873580125,0.9503348954441602,0.9503348145868626,0.9503175167751716,0.950320631461065,0.9503284621814985,0.9503362903447883,0.9503441159747674,0.950350678598485,0.9503523608572005,0.9503493998973598,0.9503406181575551,0.9503387582759413,0.9503399381056254,0.950347751851472,0.9503417185200074,0.9503307937372323,0.9503343500610566,0.9503420587493137,0.9503243008094593,0.9503083726652785,0.9503133877651121,0.9503210937876505,0.9503287998101889,0.9503365058327273,0.9503436512002373,0.9503453212706714,0.950335729500321,0.9503217738713512,0.9503157095589944,0.9503127855274891,0.9503205793897268,0.9503283732519646,0.9503361671142025,0.9503433406651725,0.9503329699942679,0.9503123148721613,0.9502952036625163,0.9502886951946907,0.950296355456552,0.9503040157184132,0.9503078242869223,0.9502952868379042,0.9502861860922716,0.9502801253457969,0.9502693667422386,0.9502771445738206,0.9502849224054025,0.9502927002369845,0.9503004780685664,0.9503082552040458,0.9503143106011469,0.9503067085137289,0.9502957942862378,0.9503014192936023,0.9503086204342609,0.9503142468628701,0.9503020211930411,0.9502776569230811,0.9502523035457765,0.9502600682344453,0.950267832923114,0.950270699883315,0.950255635426277,0.950245044516904,0.9502528059721271,0.9502605674273501,0.9502683248205672,0.9502746486870557,0.9502731725079632,0.9502674142547347,0.9502692962760471,0.9502768600669348,0.950284422278836,0.9502915079483707,0.9502921963460583,0.9502692983073943,0.9502358425105879,0.9502308918265079,0.9502379082523416,0.9502456520282552,0.9502533958041687,0.9502611395800824,0.9502688818196114,0.9502734297927689,0.9502696614313905,0.9502639223020801,0.9502554668566429,0.9502499909939955,0.950257719601924,0.9502654482098523,0.9502731760293808,0.9502801180437637,0.9502827528906681,0.9502777282305339,0.950260098276293,0.95026781813413,0.9502719271493631,0.9502732344207165,0.9502706324660211,0.9502742340459038,0.9502819481504152,0.9502896590095825,0.9502965921304853,0.9502986574953735,0.950297823440427,0.950282774135074,0.9502739190688098,0.9502695481096997,0.9502772471926989,0.9502849462756982,0.9502926453586973,0.9503003444416964,0.9503076221751916,0.9503111634602818,0.9503042118108571,0.9502985800829788,0.9503061753994912,0.9503135573968153,0.9503174322394166,0.9503127003339878,0.9503077178532993,0.9503034225639528,0.9503111035014622,0.9503187844389713,0.9503264605858674,0.9503316993772233,0.9503257236345715,0.9503188299971728,0.9503089161481897,0.9503108565669011,0.9503185238247607,0.9503261899090119,0.9503338548566567,0.9503363198258494,0.9503171548481,0.9503122416137846,0.9503181294574969,0.9503257900089266,0.9503331178669578,0.9503389102231231,0.9503255825813625,0.9503075746641217,0.9502900091322635,0.9502762000323735,0.950280258310518,0.9502879105019064,0.9502955626932947,0.9503032148846833,0.9503108670760717,0.9503185192674601,0.9503261658763749,0.9503332958170619,0.950321809317082,0.9502940095597442,0.9502790961371235,0.9502867341032548,0.9502943720693862,0.9503020100355175,0.950309648001649,0.9503172859677803,0.9503244391828725,0.9503201384153862,0.9503126524121601,0.9503199163722127,0.9503211671843106,0.9503040602381889,0.9502921678505595,0.9502991749131575,0.9503061819757556,0.9503131890383536,0.9503201961009515,0.9503241015367863,0.9503161337349788,0.9502810282157643,0.9502794611514064,0.9502852194995399,0.9502928333068731,0.9503004471142065,0.9503080609215397,0.950315674728873,0.9503232874205947,0.9503306988732412,0.9503372671486543,0.9503384843136888,0.9503251057016979,0.9503009230923714,0.9502780160036959,0.9502856166771926,0.9502932173506893,0.9503008180241861,0.9503084186976828,0.9503148952169633,0.9502996035968323,0.9502598570040712,0.9502072559831167,0.9502097227214902,0.9502173219761072,0.9502249212307243,0.9502325204853415,0.9502399174936105,0.950244909839077,0.9502498317852763,0.9502369824403909,0.9502055837473308,0.9502074064118333,0.9502122346108954,0.9502168867180537,0.9502165367274455,0.9502129381822262,0.9502146955834145,0.9502222798282229,0.9502298640730311,0.9502374483178395,0.9502450325626478,0.9502481504652598,0.9502523465301984,0.9502577445117348,0.9502589888029003,0.950254542710354,0.9502440350638692,0.9502348829617449,0.9502351031129679,0.9502208640416506,0.9502284288508691,0.9502359936600875,0.9502435584693059,0.9502511232785242,0.9502586880877428,0.9502632912815909,0.9502534497111454,0.950214539615478,0.950174049518332,0.9501457921719741,0.9500968336918567,0.9500972774314824,0.9501048465629034,0.9501124156943244,0.9501199848257453,0.9501275539571663,0.9501351209749134,0.9501340821696829,0.9501286118711021,0.9501232498892187,0.950098886255909,0.9500710082394673,0.950077787576298,0.9500845669131287,0.9500913462499594,0.9500981255867901,0.9501033223399971,0.9500985329906708,0.9500764899014217,0.9500517268743731,0.9500452928126502,0.9500528470064802,0.9500604012003102,0.9500679553941402,0.9500755095879703,0.9500738335233267,0.9500508661437053,0.9500413854598945,0.9500385206138482,0.9500320931124029,0.9500386004988535,0.9500461456003166,0.9500536907017798,0.950058051041625,0.9500597257267718,0.950056451180116,0.9500546519441566,0.9500552597001264,0.9500552728472176,0.9500538091042514,0.9500570372686482,0.9500645687172853,0.9500717872533451,0.9500766443349886,0.9500795391662701,0.9500729153399823,0.9500553388149955,0.9500547223505666,0.9500486209433039,0.9500518845995798,0.9500594032492099,0.95006692189884,0.95007444054847,0.9500819591981002,0.9500885036913775,0.9500799939583924,0.9500329980813578,0.9500320421181487,0.9500363422398621,0.95003377194892,0.950027095398424,0.9500241702663368,0.9500316798090926,0.9500327604973284,0.950029448391709,0.9500124360996367,0.9500100175853445,0.950017522919959,0.9500250282545735,0.9500325335891882,0.9500400340956368,0.9500409755686778,0.9500276135277169,0.9500109622363353,0.950015202825611,0.9500227008630331,0.9500293988984807,0.950032773109108,0.9500306701838266,0.950024855046512,0.9500253715150091,0.9500098517322271,0.9500010083083037,0.9499624584545034,0.9499630052769685,0.9499636231526678,0.9499527987819409,0.9499519721072311,0.9499594567179428,0.9499669413286544,0.9499744259393661,0.9499819105500777,0.9499893951607894,0.9499968797715009,0.9500043643822127,0.9500118455037383,0.9500187559931832,0.9500237921318146,0.9500220652721205,0.9500135148188612,0.9500141333962073,0.9500073468861081,0.9499949144391024,0.949999974279806,0.9500050341205096,0.9500100939612133,0.9500150394640485,0.9500178365976685,0.9500105276484158,0.9499867207737183,0.9499716469626505,0.9499617703177214,0.9499692259159251,0.9499766815141288,0.9499841371123325,0.9499915927105362,0.9499990483087398,0.9500065039069436,0.9500106547564724,0.9500043999773085,0.9499866128451672,0.9499710791903401,0.9499633253309889,0.9499707701587449,0.9499782149865009,0.9499847281739098,0.9499897494721632,0.9499864937008488,0.9499708589688494,0.9499612936047857,0.949965637556768,0.9499644676965153,0.9499657248615184,0.9499682117539886,0.9499635607830919,0.9499709928179002,0.9499784248527088,0.9499784519822242,0.9499692806638051,0.949960135876845,0.9499664212572346,0.9499738036256049,0.9499811859939753,0.9499875945609405,0.9499880912745846,0.9499854778265302,0.949975206814138,0.949965150847476,0.9499602551098068,0.9499670563572058,0.9499744727090274,0.9499818890608489,0.949988035910438,0.9499868906793417,0.9499691632144092,0.9499565205067292,0.9499467071625269,0.9499478377915156,0.9499552453672436,0.9499623100723766,0.9499570451179717,0.9499418384205804,0.9499393275453516,0.9499467337738492,0.9499527772150081,0.9499526605082099,0.9499446445696338,0.9499406903171761,0.9499362564591181,0.9499189337404428,0.9499105185545221,0.9499177302541892,0.9499249419538565,0.9499264206597002,0.94990517359911,0.9498602590640504,0.9498415635132014,0.9498332054769915,0.9498373781514737,0.9498440621828905,0.9498507462143073,0.9498516271509843,0.9498305419755065,0.9498074721574429,0.9498077505696864,0.9498149912048299,0.9498222318399734,0.9498294724751168,0.9498367131102603,0.949837069457713,0.9498183475081046,0.949791978684498,0.9497716402192149,0.9497789377193475,0.94978623521948,0.9497935327196126,0.9498008302197454,0.949808127719878,0.9498154252200106,0.9498142086000751,0.9498082884062414,0.9497905836244802,0.9497852994219218,0.9497926845844971,0.9498000640852444,0.9498074415273473,0.9498122807797507,0.9498016118516535,0.9497749095805337,0.9497566513760514,0.9497286567062814,0.949736030504972,0.9497434043036628,0.9497507781023535,0.9497581519010441,0.9497655256997348,0.9497728994984256,0.9497795933473613,0.9497819313732597,0.9497671420526898,0.9497434877263711,0.9497344513718275,0.9497356477231902,0.9497427641629832,0.9497498806027764,0.9497554469518852,0.949756723784804,0.9497495189844656,0.9497388560584894,0.9497341432706432,0.9497290886536659,0.9497320875528277,0.9497394395782579,0.9497467916036881,0.9497541436291184,0.9497614956261833,0.9497688445896255,0.9497672734447914,0.9497641641173867,0.9497595175786124,0.9497572161505713,0.9497645562415038,0.9497713149202389,0.9497772930736041,0.9497803454241713,0.9497759793187686,0.9497433607973663,0.9497172436027148,0.949723300570545,0.9497306310858409,0.9497379616011368,0.9497452921164325,0.9497526226317283,0.9497599531470242,0.9497672836623201,0.9497746141776158,0.949781576450029,0.949782175062631,0.9497657650857019,0.9497463233539709,0.9497337302116347,0.9497309530233531,0.9497379043734181,0.9497448557234831,0.9497518070735481,0.9497587584236131,0.9497622622018382,0.949759784976869,0.9497548301539951,0.9497508365290619,0.9497518864329912,0.9497588751299775,0.9497626971829183,0.9497579447015355,0.9497435384051911,0.9497293745870297,0.9497185465817279,0.9497176855991323,0.9497130986466978,0.9497133645555975,0.9497173415118498,0.949721318468102,0.9497252954243544,0.9497219856004857,0.9497058329533358,0.9496834348899574,0.9496760935544386,0.9496829892642156,0.9496898849739925,0.9496967806837696,0.9497036763935466,0.9497105721033235,0.9497174678131006,0.9497234402720918,0.9497204260985809,0.9497033092965232,0.9496899231523553,0.9496801024215447,0.9496660022758019,0.9496474680733313,0.9496223667081883,0.9496110369798931,0.9496067442672107,0.9496114498605674,0.9496183423539235,0.9496252348472796,0.9496321273406356,0.9496390198339915,0.9496459123273475,0.9496528048207035,0.9496590129263949,0.9496621228371287,0.9496657782736033,0.9496556198337345,0.9496184021673781,0.9495834438205364,0.94958238603538,0.9495896615116801,0.9495969369879804,0.9496042124642805,0.9496114879405808,0.9496187634168809,0.9496260388931812,0.9496300021227033,0.949623911037621,0.9496089512870022,0.9495976978948124,0.9495905331452192,0.9495810453788636,0.9495883100551705,0.9495955747314777,0.9496028394077848,0.9496101040840919,0.9496157576263329,0.9496042375630965,0.9495755315864252,0.9495599979101661,0.9495550566341908,0.9495623158903466,0.9495695751465023,0.9495768344026582,0.9495810208985155,0.9495661263014634,0.9495473668191449,0.9495319148742343,0.9495391679389209,0.9495464210036076,0.9495536740682943,0.9495572053963037,0.9495449084414894,0.9495255430639131,0.9495247266672067,0.9495146304396076,0.9495037616533145,0.949506044710142,0.9495132918477527,0.9495205389853636,0.9495277861229743,0.9495303861817439,0.9495255179748876,0.9495170647760769,0.9495219266450636,0.9495207776437629,0.9495220565528469,0.949510906132297,0.9494866291752546,0.9494856611318487,0.9494760190843918,0.9494690366096604,0.9494762756506845,0.9494829930710316,0.9494804068127227,0.9494653068333072,0.9494507486904737,0.94944291427803,0.9494490136615426,0.9494551130450553,0.949461212428568,0.9494673118120805,0.9494734075076101,0.9494768834384727,0.9494676946535352,0.9494432707631676,0.9494429880407512,0.9494421711039791,0.9494386533136825,0.9494288711472703,0.9494312520833451,0.9494180924150091,0.949403482043601,0.9494099413230024,0.9494164006024037,0.9494201218744933,0.9494176276668589,0.9494104279150026,0.9494090656179128,0.9494162043878509,0.9494189947698328,0.9494131171973248,0.9494039955942857,0.9494075535589789,0.9494147653813014,0.949421977203624,0.9494291883806654,0.9494363675616948,0.9494423250271253,0.9494386664727181,0.9494282449178879,0.9494225837056864,0.9494130521780271,0.9493994161731574,0.9494066170459643,0.9494138179187712,0.9494210187915781,0.9494212965489957,0.9494181643630566,0.9493882758139384,0.9493773578631339,0.9493713748413374,0.9493725388435676,0.9493792607387694,0.9493859826339712,0.949392704529173,0.949399426424375,0.9494061483195768,0.9494128702147786,0.9494195921099804,0.9494262567558331,0.949429600647687,0.949427062249506,0.94940948529954,0.9493946128363601,0.9493876639498147,0.9493897593588807,0.9493969316559511,0.9494041039530214,0.9494112762500917,0.9494183039297069,0.9494231409333967,0.9494176901071207,0.9493884624391042,0.9493953608457122,0.9494025287113006,0.9494096965768888,0.9494168644424772,0.9494240323080656,0.9494312001736539,0.9494383680392422,0.9494455359048306,0.9494520562489258,0.9494531042716403,0.9494328478864903,0.9493906844023474,0.9493770732855682,0.9493710964474831,0.94937825208335,0.9493854077192171,0.949384145333378,0.9493694858952535,0.949366435326165,0.9493734749199597,0.9493791094739268,0.949380725221111,0.9493818267133252,0.9493773605285665,0.9493684160607385,0.949375448697289,0.9493824813338393,0.949386243316076,0.9493780029793719,0.9493610767756651,0.9493514949396111,0.9493586368676081,0.9493657787956051,0.9493729167203315,0.9493800527872469,0.9493853855658162,0.9493857709048434,0.9493814190195871,0.9493764840492345,0.9493772671627123,0.9493843957623971,0.9493847451097799,0.9493795649941147,0.9493491095562836,0.9493485686616545,0.949352914708547,0.9493445456985665,0.9493303187424187,0.94932502400189,0.9493321050554664,0.9493391861090428,0.9493462671626193,0.9493533482161958,0.9493592745058383,0.9493610315860268,0.9493538208840009,0.9493399106786702,0.9493348392861932,0.9493412037830946,0.9493473759091042,0.949351229703582,0.9493481866124448,0.9493464903309232,0.949310684803251,0.9493016232423946,0.9493064410903918,0.9493135137308155,0.9493205863712393,0.949327659011663,0.9493347316520868,0.9493418014649591,0.9493484524641631,0.9493464957260833,0.9493420493563505,0.9493104579619267,0.9492991268184579,0.9492904875106731,0.9492877177507097,0.9492883883068957,0.9492954851931771,0.9493025820794587,0.9493096789657403,0.9493167758520218,0.9493238727383033,0.9493309696245849,0.9493294072605027,0.9493186075525264,0.9492940902879299,0.949283533204873,0.9492775806270424,0.9492763685942995,0.9492834567755083,0.949290544956717,0.9492976331379258,0.9493026503610973,0.9492931885018261,0.9492687126100312,0.9492553391312495,0.9492538607456775,0.949240792020485,0.949233470293539,0.9492372040135297,0.9492442851003269,0.949251366187124,0.9492584472739212,0.9492655283607183,0.9492726094475155,0.9492796902473767,0.9492867654600603,0.9492784477535829,0.9492749344758658,0.9492481305668917,0.9492242701749622,0.9492151472766813,0.9492077640608882,0.9492147653558893,0.9492217666508903,0.9492287679458913,0.9492357692408924,0.9492427705358932,0.9492497678731475,0.9492561356573257,0.9492604338422803,0.9492307789767755,0.9491930357962446,0.949173471310419,0.94917789694719,0.9491849582032552,0.9491920194593204,0.9491990807153856,0.9492061419714508,0.949213203227516,0.9492201671704366,0.9492234665271061,0.9492212411629999,0.9492144388934329,0.9491952754818334,0.9491887712754823,0.9491787984377915,0.9491720834704633,0.9491791317446945,0.9491861800189254,0.9491932282931566,0.9492002765673877,0.9492073248416187,0.9492143731158498,0.9492214213900809,0.9492281630992017,0.9492321886178661,0.9492158304742062,0.9491875863273571,0.9491666860858938,0.9491691123495858,0.9491759680523526,0.9491828237551194,0.9491896794578862,0.949196535160653,0.9492033908634199,0.9492057370396247,0.9491935605458457,0.9491781749453392,0.9491713328703586,0.9491783623032359,0.9491837600630233,0.9491809665213209,0.9491684347488403,0.9491477779715077,0.9491419184590051,0.9491376628300099,0.9491427939519315,0.9491497633801409,0.9491567328083502,0.9491637022365595,0.9491706716647688,0.9491776410929782,0.9491846105211876,0.9491871446621372,0.9491805805082039,0.9491612795331675,0.9491536166029226,0.9491478161790473,0.9491511454397075,0.949157230380037,0.9491633153203665,0.9491694002606959,0.9491754851396145,0.9491819620392652,0.9491713551470629,0.9491576767330369,0.9491343392259637,0.9491125390500141,0.9491155060856067,0.9491225070756872,0.9491295080657676,0.949136509055848,0.9491435100459285,0.9491505110360088,0.9491575120260893,0.9491645130161697,0.9491715111560239,0.9491767550883295,0.9491768821361977,0.9491735279942994,0.9491634694952227,0.9491465085723492,0.9491294783389355,0.9491228887475116,0.9491298750558208,0.9491368613641298,0.949143847672439,0.9491508339807481,0.9491578202890572,0.9491648065973662,0.94916453665346,0.9491598949229976,0.9491506917738328,0.9491502393034068,0.9491435015771865,0.9491293577317278,0.9491305553473925,0.9491275977425537,0.949117546463057,0.9491057585783609,0.9491120217805193,0.949118915294322,0.9491258088081249,0.9491327007565473,0.9491389111348522,0.9491396522286725,0.9491250307617327,0.9491143613177662,0.9490845951778966,0.9490736292421149,0.9490793718742263,0.9490851145063375,0.9490908571384487,0.949094806299574,0.9490929845646846,0.9490851847065647,0.9490781557799786,0.9490849821112584,0.9490918084425384,0.9490965369989434,0.9490861595713816,0.9490178463145653,0.9488677420883082,0.948850950663828,0.9488380563069069,0.9488230002115408,0.9488088171673933,0.9487994369068867,0.9488064226749011,0.9488134084429156,0.94882039421093,0.9488273799789444,0.9488343634482325,0.9488323556573068,0.9488248655533364,0.9488134513971096,0.9488051060349769,0.9487961453260376,0.9487779626906993,0.9487817905414274,0.9487886408551625,0.9487954911688973,0.9488023414826323,0.9488091917963672,0.9488160421101022,0.9488228924238371,0.948829742737572,0.948836593051307,0.948840686684072,0.9488301578705556,0.9487650766492615,0.9486772544936408,0.9486685724707934,0.9486722676061032,0.9486785758260081,0.948684884045913,0.9486911922658179,0.9486975004857228,0.9487038087056276,0.9487101169255325,0.9487164251454375,0.9487191385572105,0.9486904853237932,0.9486952520898488,0.9486884661136162,0.9486043331420976,0.9484386335412864,0.9483521501268247,0.9483162096062534,0.9483005502445705,0.9483048597722792,0.9483033669716536,0.9482985084353013,0.9482950813953048,0.9482948603296028,0.9482932448990784,0.9482837987127903,0.9482671470337505,0.9482585925705674,0.9482655969941779,0.9482726014177884,0.9482796058413988,0.9482866102650092,0.9482929911429682,0.9482954744079845,0.9482903951685084,0.9482832997116579,0.948277629867522,0.9482681505352939,0.9482573726573734,0.9482587438355248,0.9482656885690712,0.9482726333026179,0.9482793663274147,0.9482784855237107,0.9482580233626429,0.9482333685115651,0.9482301003855598,0.9482223482995906,0.9482085354783055,0.9482133395411863,0.9482203263374249,0.9482273131336637,0.9482342999299025,0.9482412867261413,0.9482482735223801,0.9482548222017033,0.948259646051322,0.9482561703319037,0.9482461069342676,0.9482343788073178,0.9482326992059036,0.9482328898703667,0.9482289993034645,0.9482204012023976,0.948216650204984,0.9482236251845576,0.9482276019633675,0.9482268084324219,0.9482220378226648,0.9482090218738448,0.948206118126866,0.9482120353811847,0.9482153272930132,0.948206369339089,0.948195141609723,0.9481867936038046,0.9481774174255244,0.9481742543234117,0.9481809269780084,0.9481875996326049,0.9481942717774476,0.9481994233181823,0.9481979905087872,0.9481784400219158,0.94815205794217,0.948125436081448,0.9481135207462428,0.9481149389752981,0.9481005418107802,0.9481015859957718,0.9481085515650935,0.9481154263654945,0.9481207971935663,0.9481219754220724,0.9481289383754766,0.9481359013288808,0.9481385619892737,0.9481298473649928,0.9481088692738566,0.9481080436155274,0.9481036327848652,0.9480935927357854,0.9480799448370103,0.9480640982683897,0.948060797107694,0.9480677521753248,0.9480747072429556,0.9480816623105865,0.9480881464890183,0.9480937598363128,0.948094871290359,0.9480938621200999,0.9480855420150327,0.9480810010802001,0.9480873746721715,0.9480925203606283,0.9480786229999247,0.9480622600264224,0.9480445036781808,0.9480455508422599,0.9480524914837425,0.9480594321252251,0.9480663727667076,0.9480733134081902,0.948080251388455,0.9480850590315542,0.9480845471748811,0.948080646235621,0.948072497145835,0.9480580981934985,0.9480464567141251,0.9480215602090016,0.9479979302092965,0.9479883645220037,0.94799529916453,0.9480022338070562,0.9480064623163116,0.9480034968994828,0.9479949009482789,0.9479953280929732,0.9479954486467711,0.9479787836050841,0.9479538097708988,0.9479607414144147,0.9479676730579305,0.9479746047014461,0.9479788578035098,0.9479679337839535,0.9479451919863162,0.9479205695001536,0.9479211431002647,0.9479271996295807,0.9479332561588969,0.947939312688213,0.9479436717714786,0.9479437931568699,0.947938603985135,0.9479252458874302,0.9479115384603979,0.9479014844435804,0.9478913094218506,0.9478926102712226,0.9478995262502354,0.9479064422292485,0.9479133582082615,0.9479202741872745,0.9479271901662876,0.9479341061453006,0.9479410221243136,0.9479465060787557,0.9479355965369833,0.947915688067437,0.9479123645432499,0.9479191840553436,0.9479237458924995,0.9479196795547511,0.947907965526429,0.9478982622055161,0.947891084493864,0.9478979888975181,0.9479048933011722,0.9479117977048264,0.9479187021084805,0.9479230547857938,0.9479194599890194,0.9479064339119718,0.9478973689193183,0.9478959342802689,0.9478856883454032,0.9478742972009846,0.9478725748475394,0.9478711615365129,0.9478625422611096,0.9478563274789498,0.947863219555046,0.9478701116311423,0.9478768694171772,0.9478808762214974,0.9478796837785598,0.9478751561255645,0.9478693122776718,0.9478741013371359,0.9478809887442818,0.9478878761514277,0.9478947600958025,0.9478968990251821,0.9478812047962999,0.9478551186732262,0.9478458878107437,0.9478524832498347,0.9478590786889257,0.9478656741280167,0.9478722695671076,0.9478788650061987,0.9478854604452897,0.9478920558843806,0.9478986513234717,0.9479029344347935,0.9479012651012806,0.9478835032164595,0.9478626103218457,0.9478447669148189,0.9478332386312512,0.9478401021346285,0.9478469656380057,0.9478538291413832,0.9478606926447605,0.9478675561481377,0.947874419651515,0.9478812831548922,0.9478881466582696,0.9478950101616469,0.9479017513410788,0.9478991881703465,0.947883584548997,0.9478596051280677,0.9478301055350635,0.9478345626205043,0.9478401713427405,0.9478457737475656,0.9478240327246505,0.9478122742440571,0.9478186880438657,0.9478255416143329,0.9478323951848,0.9478392475466598,0.9478460963977459,0.9478529443813032,0.9478453398379219,0.9478372732591085,0.9478205084022893,0.9478127165029493,0.9478174237124056,0.9478242608444969,0.9478310979765883,0.9478379351086796,0.947844772240771,0.9478516093728623,0.9478584465049535,0.9478652836370449,0.9478721207691363,0.9478760373130399,0.9478730334577277,0.9478683429334684,0.9478597547772778,0.9478573345211496,0.9478559433728839,0.9478444433565967,0.9478331946459224,0.9478400172702586,0.9478468398945946,0.9478536625189307,0.9478604851432668,0.9478673077676028,0.9478741303919389,0.9478807078503383,0.9478866475073413,0.9478912117243156,0.947885121172084,0.9478615664110919,0.9478356382879966,0.9478310110479867,0.9478372078838616,0.9478434047197366,0.9478496015556115,0.9478557983914865,0.9478584787350146,0.947853507178025,0.9478537730930068,0.9478598759261432,0.9478618551721637,0.9478580384217593,0.9478520122701805,0.947840869931156,0.9478357871073608,0.9478329157752905,0.9478296253376577,0.9478284441574312,0.9478310105824479,0.947837809497087,0.9478446084117258,0.9478514073263647,0.9478581355700901,0.947846248358498,0.9478049847697015,0.947781127073223,0.9477623316485863,0.9477686749888045,0.9477750183290226,0.9477813616692409,0.9477877050094592,0.9477940483496774,0.9477951427546178,0.9477861791950466,0.9477640351169164,0.9477647504469691,0.9477698482574617,0.9477730291531408,0.9477703871956711,0.9477559771082953,0.9477480141613688,0.9477544530219645,0.9477599033026468,0.9477566709022929,0.9477520740170173,0.9477414504208728,0.9477444712018481,0.9477509064881349,0.947747664145747,0.9477373921349016,0.9477162355426845,0.9477215905784802,0.9477283710599931,0.9477351515415058,0.9477419320230187,0.9477487125045314,0.9477554929860443,0.9477622691928493,0.9477677846665148,0.9477629856756266,0.9477297753980092,0.9477079309766303,0.9476961981453182,0.9476858275714068,0.9476839811621496,0.9476904652588174,0.9476972350656263,0.9477040048724354,0.9477034056939176,0.9476939717985445,0.9476843575523415,0.947686009130613,0.9476927775325865,0.9476995459345603,0.947705721974706,0.947711137949053,0.9477172456267664,0.9477194457879685,0.9477086554813956,0.9476961560542483,0.9476897403201695,0.9476789820107052,0.9476630864992088,0.9476594279998141,0.9476661859017533,0.9476729438036926,0.947679701705632,0.9476797832560562,0.9476608845579025,0.9476335696835071,0.9476137682512462,0.9476205223320566,0.9476272764128671,0.9476340304936776,0.9476407845744881,0.9476475386552985,0.9476542927361089,0.9476606115105346,0.9476656826517251,0.9476623156530206,0.9476434137340978,0.9476225546769751,0.9476054394919888,0.9476067925105129,0.9476133479870958,0.9476140508069244,0.9476052386434596,0.9475892331671616,0.9475760514949068,0.9475741322912776,0.94757120207919,0.9475682130214937,0.9475710446165782,0.9475777890551095,0.9475730483375682,0.947569469976968,0.9475463372793096,0.9475109031767575,0.9474959601795996,0.9474868701452654,0.9474708535923579,0.9474650893806942,0.947469989736522,0.9474709380332667,0.9474640652903803,0.9474589783014931,0.9474555752699483,0.9474622005718821,0.9474688249120169,0.9474741275589056,0.9474708135698519,0.9474469631556285,0.9474113725431322,0.9473833547108494,0.9473566522067468,0.94735306704486,0.9473581058789915,0.9473529982135271,0.9473475242965884,0.9473229722268988,0.9473210172432267,0.9473277661022919,0.9473345136993909,0.947340731238003,0.9473425153377228,0.947334192190942,0.9473242438244739,0.9472941476317477,0.9472762365991907,0.9472628261569251,0.947254333002334,0.9472520476749159,0.9472531536127446,0.9472218339570788,0.9472269981069594,0.9472337428636036,0.9472404876202478,0.947247232376892,0.9472539771335362,0.9472607218901804,0.947260374325954,0.947257288527601,0.9472515048268273,0.9472348395782703,0.94722242098942,0.9472188583761998,0.9472065619675397,0.9471977284437897,0.9472044626436693,0.9472111968435488,0.9472179310434283,0.9472246652433081,0.9472313994431876,0.9472381336430672,0.9472448678429468,0.9472516020428263,0.9472556766954475,0.9472407370338802,0.9472068008305125,0.9471795173083599,0.9471773343100593,0.9471840140871555,0.9471906938642515,0.9471973736413475,0.9472040534184436,0.9472107331955396,0.9472174129726356,0.9472240897763204,0.9472293899502675,0.9472284176669448,0.9472206474284263,0.9472140416837752,0.9472164518875889,0.9472231231985417,0.9472297945094947,0.94723646798096,0.947242740880776,0.9472420015141791,0.947236211908319,0.9472221113567905,0.9472100541972257,0.947215922067413,0.9472217899376005,0.947227657807788,0.9472284450167006,0.9472064718328965,0.9471967190881354,0.9471921242160892,0.947180670600765,0.9471682470648308,0.9471658935381627,0.9471725256582604,0.9471791577783579,0.9471857898984557,0.9471824062501759,0.9471608776199332,0.9471313199525756,0.9471265263507738,0.947133224107866,0.9471399218649583,0.9471466196220506,0.9471533173791429,0.9471589759976263,0.9471527810374127,0.947130173228467,0.9471256664593494,0.9471323629823412,0.9471390556225765,0.9471457473503226,0.9471522142734033,0.9471530904858145,0.9471474198853224,0.947123957822218,0.9471120722926849,0.9471161571830266,0.9471228431231524,0.9471295290632783,0.9471341342559514,0.9471326002931931,0.9471258643280162,0.9471200775901958,0.9471267612247485,0.947133442889905,0.9471392085200434,0.9471372682276895,0.9471251956519937,0.9471017855184756,0.9470932365843194,0.9470963216448592,0.9471007297488255,0.9470933181927659,0.9470760696396836,0.9470721768317854,0.9470788535530601,0.9470855302743346,0.9470922069956094,0.9470988837168839,0.9471051249274696,0.9471088604053072,0.9471078537394603,0.9471029872653725,0.9470937304001087,0.947076526923091,0.9470642555434625,0.9470658594707735,0.9470725257969088,0.9470791921230439,0.9470858580425983,0.9470914200767419,0.9470859368612801,0.9470526507577968,0.9470327728245974,0.9470329154447766,0.9470375813573432,0.9470442433177575,0.9470509052781716,0.9470572217738547,0.947062927144943,0.9470582160648313,0.9470481904000005,0.9470353326014275,0.9470222597377194,0.9470144749089036,0.9470061795339362,0.9470128343856269,0.9470194892373178,0.9470225613336007,0.9470217828078159,0.947016975471612,0.9470087821446683,0.947008516210213,0.9470151684586663,0.9470218207071195,0.9470284703510491,0.9470351179531704,0.9470411024256302,0.9470398089028281,0.947026171188758,0.9470052753610615,0.946989651115042,0.946981276543584,0.94698791647331,0.9469945564030361,0.947001196332762,0.9470078362624881,0.9470144761922141,0.947021066979445,0.9470275339274487,0.9470281520342247,0.947016916654005,0.9470082218215417,0.947013656680969,0.9470202907814969,0.947026922060576,0.9470237993045048,0.9470037686401684,0.9469866649386127,0.9469668303730735,0.9469580716060852,0.9469647025745793,0.9469713335430734,0.9469779645115672,0.946980773857264,0.9469697869511636,0.9469516016719919,0.9469411926946505,0.9469419928203,0.9469486181671353,0.9469552435139705,0.9469618688608059,0.9469632214486765,0.9469584975353956,0.9469524923879132,0.9469456938327947,0.9469416980785605,0.9469440015049977,0.9469442025785899,0.9469344812962424,0.9469226708293714,0.9469229173143516,0.9469288355302182,0.9469213532102996,0.9469139279509575,0.9469186023031656,0.9469138097610743,0.9469090402255097,0.9469033381932114,0.9469099254994999,0.9469165128057884,0.946923100112077,0.9469296874183655,0.9469362738170503,0.9469428321218334,0.9469484074740223,0.9469422359757398,0.9469202157716389,0.9468937645034561,0.9468802153882065,0.9468834281198107,0.9468873424710194,0.9468912568222281,0.94689234914178,0.9468856988269697,0.9468713644190014,0.9468521177191203,0.9468513557930016,0.9468485309993098,0.9468419666204444,0.9468414574775104,0.9468480601498845,0.9468541014927987,0.946852976291636,0.9468319900472978,0.9468024391172736,0.9467934468385752,0.9467698891495533,0.9467705933344777,0.9467756883992724,0.9467807834640671,0.9467858785288619,0.9467882934987537,0.9467908529375135,0.9467910766688411,0.9467851592117187,0.9467756959354332,0.946772326112897,0.9467756174515424,0.9467702890523297,0.9467634451297138,0.9467542377956877,0.9467531832455482,0.9467575917979217,0.9467516712805384,0.946745740758445,0.9467376439054229,0.94673766672474,0.9467442242512147,0.946749959762095,0.946753294395903,0.9467506541289152,0.9467442813640097,0.9467313882469888,0.9467260835415312,0.946732178769943,0.9467382739983545,0.9467392090877487,0.9467379671925709,0.9467266676584581,0.9467195752769704,0.9467152877332233,0.9467083536249861,0.9467149037777052,0.9467214810373126,0.9467276126130967,0.9467196484142286,0.9467094507133165,0.9467019955817965,0.946708507291136,0.9467150852121982,0.9467216620230953,0.9467278188235291,0.9467293537595032,0.9467179540323379,0.9466986263640621,0.9466955897425919,0.9466875569314974,0.9466900591938043,0.9466919990746394,0.9466871880992767,0.9466885379732746,0.9466794183895388,0.9466859858917531,0.9466925533939675,0.9466988886710612,0.9467040066230712,0.9467047871230325,0.9467005594814359,0.9466913825072208,0.9466778474703289,0.946667836717423,0.9466603704219982,0.946662968384403,0.946669486111843,0.9466741004073429,0.9466741925509488,0.9466723439023876,0.9466671970331046,0.9466654544826785,0.946659559782756,0.9466514141223351,0.9466544479036888,0.9466512793392222,0.946645750168621,0.9466471194889313,0.9466533487537347,0.9466551681820862,0.9466465950311472,0.9466421000820745,0.9466340998611061,0.9466406499945713,0.9466471995776529,0.9466537464674645,0.9466598936167221,0.9466569720741218,0.9466425228881827,0.9466119974777395,0.9466101502967224,0.946616695540444,0.9466230002078582,0.9466259575829488,0.9466183046215704,0.9465965313919429,0.9465796649128309,0.9465742358706257,0.9465790483510033,0.9465854619267433,0.9465918755024834,0.9465982890782234,0.9466047026539635,0.9466111162297036,0.9466175293349419,0.9466233364580989,0.9466249069704304,0.9466222454105562,0.946610385771556,0.9465851606267632,0.9465760282233557,0.946582360522408,0.9465886928214603,0.9465950251205126,0.946601357419565,0.9466076897186172,0.9466128861532959,0.9466089121088773,0.9465873640277976,0.9465813206510383,0.9465878457843699,0.9465903439102772,0.9465887373199273,0.9465898719313759,0.9465910905644229,0.9465860590193935,0.9465811734061775,0.9465876947029018,0.9465832855957574,0.9465618519313784,0.9465446428181485,0.9465323874890439,0.9465277680358812,0.9465342021582692,0.9465406362806572,0.9465470704030452,0.9465535045254332,0.9465599386478212,0.9465663727702093,0.9465728068925973,0.9465792410149854,0.9465855574765665,0.946579511907855,0.9465610666129081,0.9465303541558188,0.9465260312229639,0.9465213515201054,0.94651860986676,0.9465251184838617,0.9465316263442962,0.9465282210442527,0.9465032885682981,0.9464756654143209,0.9464625990704765,0.9464569920732728,0.9464634979128638,0.9464700037524549,0.9464765095920459,0.9464830154316368,0.946489519715775,0.946494931386036,0.9464944765369987,0.946485740600737,0.9464723588612378,0.9464653885513877,0.9464542844162005,0.9464407783246354,0.9464389157449793,0.9464321471913777,0.9464298846725987,0.94643638615208,0.9464406879690254,0.9464447577267061,0.9464390481861957,0.946421840054747,0.9463982816908751,0.9463856587545298,0.9463921560312294,0.9463931844541897,0.9463839117284332,0.9463614329255987,0.9463614993231793,0.9463679972437653,0.946374155733354,0.9463778472332018,0.9463710168492709,0.9463547213447805,0.9463469294996485,0.9463294027620834,0.9463340333363501,0.9463344966034781,0.9463331199393539,0.9463265544284927,0.9463217277941579,0.9463277338711137,0.9463337399480695,0.9463344622180736,0.9463237549331867,0.9463012189729313,0.9462786082868719,0.9462754233170172,0.9462815597661749,0.9462876962153328,0.9462877586112723,0.9462719273226107,0.9462431090846428,0.9462352571975767,0.9462414834798414,0.9462477097621063,0.9462539360443709,0.9462582983742399,0.9462583270123599,0.9462533539205518,0.9462392780236873,0.9462266402724164,0.9462300522190599,0.946226906781557,0.946220676830551,0.9462190761267678,0.9462254185295234,0.9462317609322788,0.9462380654025824,0.9462315696415009,0.9462149016025616,0.9462004799079836,0.9461913382048396,0.946190876833094,0.946197104452362,0.9462033320716303,0.9462095596908986,0.9462157873101668,0.9462198699427901,0.9462142921568234,0.9462062229557539,0.9461886193943042,0.9461847945864497,0.946186950036976,0.9461794307348621,0.9461568424707825,0.9461462023095024,0.946128639578061,0.946135115035322,0.9461415894796563,0.9461480616550575,0.9461480766353658,0.9461441311461258,0.9461435484180207,0.9461425075002071,0.9461276081175798,0.9461173249162731,0.9461052284867606,0.9461072528966677,0.9461126664762005,0.9461180800557334,0.9461198570559275,0.9461060705605058,0.9460794052314275,0.9460557106125852,0.9460496964758639,0.9460561611160092,0.9460626257561544,0.9460690903962998,0.946075555036445,0.9460820196765904,0.9460884843167358,0.9460949489568808,0.9461014135970263,0.9461036600888892,0.9461011965857606,0.9460868220713841,0.946064155676178,0.946042500804143,0.9460362621676534,0.9460377876963364,0.9460407509281556,0.9460437141599751,0.9460466773917945,0.9460495778144353,0.9460524677660034,0.9460472345893816,0.9460430898256882,0.9460206947990656,0.9460221858688838,0.9460215204786906,0.9460159984337533,0.9460170909302308,0.9460235388476581,0.9460299867650854,0.9460364346825128,0.9460428825999402,0.9460493305173675,0.9460557784347948,0.9460622263522223,0.9460661416526843,0.9460582620403032,0.946032176385301,0.9460090443429421,0.9459904609970797,0.9459940863151165,0.9460005253673953,0.946006964419674,0.9460134034719527,0.9460198425242314,0.9460262815765101,0.946032720628789,0.9460391580198151,0.9460432465886952,0.9460421352143882,0.9460370650696116,0.9460291821841627,0.9460183815402422,0.9460064761505325,0.9459912907988428,0.9459917441983761,0.9459980156195179,0.9460042727987267,0.9460085878359037,0.946006056459159,0.9460038026781237,0.9459896776792804,0.9459926711838187,0.9459990994381826,0.94600435948918,0.9460025086276678,0.9459925402879537,0.9459915900056871,0.9459743816778163,0.9459754559060862,0.9459665846755184,0.9459588497499364,0.9459611027044226,0.9459675229782856,0.9459739428273091,0.9459802582894887,0.9459843572034055,0.9459745557696987,0.9459421798285007,0.9459283846851311,0.9459292777363332,0.945917624443306,0.9459073766242427,0.9458986044816299,0.9458830799512606,0.9458656364217138,0.9458578076002784,0.9458630745883532,0.9458683415764282,0.9458708051588463,0.9458649112147113,0.9458628136532501,0.9458483840852452,0.9458355344094289,0.9458285065638667,0.945832302762845,0.945838718067409,0.9458451333719731,0.9458515472163003,0.9458563962575746,0.9458579533779743,0.9458563286919692,0.9458513713665905,0.9458504802843941,0.9458430351950702,0.9458282491209065,0.9458111020160336,0.9458093450380112,0.9458150793299547,0.9458187481804936,0.9458038533907427,0.9457887207620688,0.9457694651044226,0.9457695340193006,0.9457715882189526,0.9457736424186047,0.9457756966182567,0.9457750868221796,0.9457642166311255,0.9457567162388758,0.9457497492818985,0.9457473459922162,0.9457469927425515,0.9457423833327623,0.9457358140438782,0.9457377771403845,0.9457441811181411,0.9457505850958976,0.9457537884554721,0.9457479801712718,0.9457244769592474,0.9456859930598651,0.9456684634326072,0.9456748668538713,0.9456812702751354,0.9456876736963995,0.9456940771176635,0.9456969892299987,0.9456876274047273,0.9456712745271701,0.9456530576162436,0.9456413574542442,0.9456477569189092,0.9456541563835743,0.9456605558482392,0.9456669553129042,0.9456607421319654,0.9456426679006948,0.9456141579538813,0.9455861514231104,0.9455867275114469,0.945593125979602,0.9455995244477571,0.9456059229159122,0.9456123213840675,0.9456161252309252,0.9456036979732517,0.9455855236191044,0.945568490323677,0.9455623231470798,0.945568716932669,0.945575110718258,0.9455815045038471,0.9455878982894363,0.9455938033012936,0.9455914804200198,0.9455735845726597,0.945545907653928,0.945536590614155,0.9455184177384374,0.9455217647130858,0.945528093156495,0.9455339681647925,0.9455297567087344,0.9455002107598007,0.945472949572947,0.9454594679635137,0.9454658593093559,0.945472250655198,0.9454786420010401,0.9454850332375881,0.9454914225545347,0.9454938479542188,0.9454767730045197,0.9454618676739566,0.9454307224524472,0.9454302682959856,0.9454366567563423,0.9454430452166991,0.9454441142731165,0.9454409411634057,0.9454081101121856,0.9453785718648402,0.9453656480131074,0.9453706950289349,0.9453770839021665,0.945383472775398,0.9453898606066191,0.945384379354317,0.9453640640019012,0.9453434737140801,0.9453200772819927,0.9453178781886673,0.945323921019926,0.9453298089236593,0.9453321433227848,0.9453252858252996,0.945289855015014,0.9452574620483357,0.9452447114261493,0.9452437597846306,0.9452482695631965,0.945246111815673,0.9452349486792114,0.945223131045194,0.945212911213837,0.9451964372203194,0.9451874137809533,0.9451861467076565,0.9451925371750709,0.9451940848107623,0.9451841125827911,0.9451827832540112,0.9451786950005737,0.9451828100907607,0.9451835124868401,0.9451822910811318,0.9451736514170184,0.9451624226462052,0.9451682569857048,0.9451719315289921,0.9451634955543603,0.945150241571496,0.9451280083399374,0.9451083788665948,0.9450875523736603,0.945081358639057,0.9450877457644838,0.9450941328899106,0.94509807492667,0.9450956900966325,0.9450838345384399,0.9450627177926143,0.945040379794458,0.9450277458459081,0.9450236759534214,0.94503000496004,0.945035688256251,0.9450306212101642,0.945025391083891,0.9450156911805045,0.9450154753165334,0.94501953303913,0.9450075237773323,0.9449987979730525,0.9449882480793348,0.9449946315434574,0.9449963344570016,0.9449950929513754,0.9449945066845974,0.9449916556258326,0.944984358526662,0.9449883791204985,0.9449864753345217,0.9449793549972004,0.9449675935632753,0.9449617450643029,0.9449680467160966,0.9449730412058583,0.9449724235406711,0.944962114397155,0.9449501185505861,0.9449331224161555,0.9449239612099696,0.9449140823857353,0.9449146913114579,0.944920928715828,0.9449235383541303,0.9449155110922569,0.9449038304429754,0.9448985813490469,0.9448925065700191,0.9448889795409905,0.9448797885486122,0.9448760242863805,0.9448679888064224,0.9448739575293615,0.9448710020651722,0.9448595919495886,0.9448328181456834,0.9448041352535734,0.9447949330468096,0.944798818773154,0.94480492285213,0.944811026931106,0.9448171310100821,0.9448159687176496,0.9448029339456392,0.9447796895545002,0.9447491828887411,0.9447327765523319,0.9447116181284902,0.9447068616726837,0.9447004466764047,0.9446846923817778,0.9446752369333584,0.9446716140369387,0.9446542947226728,0.9446519013136885,0.9446579467553884,0.9446583012283111,0.94465455247755,0.9446492929452881,0.9446387951531663,0.9446350116034019,0.9446408199032788,0.9446395418578927,0.9446156931920013,0.9445766486515355,0.9445382593007537,0.9445441510316024,0.9445500427624512,0.9445559344933001,0.9445507325206646,0.9445429205808471,0.9445320736456586,0.9445334634899186,0.9445253206054003,0.9445095986150607,0.9444818410220709,0.9444501797522706,0.9444412961118044,0.9444360372645348,0.9444399414213087,0.9444387669809882,0.9444306999455864,0.9444196721988924,0.9444098588789496,0.9443986729529793,0.9443932543338418,0.9443788198776892,0.944364551650424,0.9443570950565896,0.9443463996928292,0.9443365963522776,0.9443226227943826,0.9443074842494072,0.9443059056614949,0.9443111406802702,0.9443108141388016,0.9443115675162972,0.9443036587684666,0.9442835594048655,0.9442565289659772,0.9442376467397934,0.9442257708888251,0.9442149301131271,0.9441907342927175,0.9441758373189688,0.9441821371548214,0.9441779810571564,0.944178851481108,0.9441698985693339,0.9441558856061938,0.9441477286265453,0.9441365089419799,0.944124286607099,0.9441072486811926,0.9440948481645981,0.9440847427974159,0.944073652013252,0.9440715396100442,0.9440778972436137,0.9440842548771831,0.9440875897438012,0.944083590037891,0.9440752204358114,0.9440668277681079,0.9440635167959501,0.9440602619773568,0.9440469725471071,0.9440303986258031,0.9440237772457616,0.9440125357029914,0.943988244671197,0.9439779798000596,0.9439692148370395,0.943974357579277,0.9439803872818144,0.9439864169843519,0.9439924466868894,0.9439963361071722,0.9439941853012206,0.9439849026360325,0.9439679210999425,0.9439510634738317,0.9439370666687348,0.9439429500469663,0.943945447884893,0.9439404548957628,0.9439245971257695,0.9438928780318818,0.9438728790940152,0.9438783225678253,0.9438758941897375,0.9438665415355598,0.9438540005590428,0.9438460405871385,0.9438396149805162,0.9438305083052649,0.9438263696845325,0.9438311316247898,0.9438375199353229,0.9438439060159571,0.9438338834298139,0.943811538967996,0.9437895790837718,0.943770925198682,0.9437548804222327,0.9437571835410167,0.9437602180633115,0.9437441196303051,0.94372361921888,0.9436896926721062,0.943668829957953,0.9436567078359448,0.943660895464465,0.9436669399500055,0.9436691582552221,0.9436566187366813,0.9436372439697345,0.9436267426997416,0.9436304231398296,0.9436312009193675,0.9436275866993233,0.9436098289765729,0.9436073328646305,0.9436078868763351,0.9435952573054487,0.9435774128133094,0.9435506194460476,0.9435492192860007,0.9435552461004497,0.9435612729148988,0.9435672997293478,0.9435733265437969,0.943579353358246,0.9435853367877188,0.9435739908515111,0.9435534437572375,0.9435149247570119,0.9434910960145599,0.9434955340072524,0.9435019000616337,0.9435082661160149,0.9435146321703962,0.9435204420209405,0.9435098817383767,0.9435031997949124,0.9434893026878174,0.9434929578810852,0.9434993244824645,0.9434918297666924,0.943467308277029,0.9434471774314082,0.9434290709741394,0.94341859615237,0.9434247090528001,0.9434261259718163,0.9434128004055677,0.9433906680585609,0.943374503691705,0.9433678776403085,0.9433560322970371,0.943354219720566,0.9433515564589596,0.9433453342755309,0.943317932206198,0.9433049878213609,0.9433094922256087,0.9433156735018927,0.943311853876161,0.943305870628216,0.9432992136526559,0.9432884290957697,0.9432864338864486,0.9432928154573199,0.9432991970281912,0.9433055785990625,0.9433119601699336,0.9433183417408049,0.9433247233116762,0.9433311048825475,0.9433374864534187,0.94334386802429,0.9433502495951612,0.9433566311660325,0.9433630127369037,0.9433693939435069,0.9433757193494766,0.9433727826122764,0.943366860598908,0.9433515303311072,0.9433338938309647,0.9433378405346744,0.9433424079430677,0.9433467210807507,0.9433494953641022,0.943335524918054,0.943305410042525,0.9432790998142789,0.9432623390391008,0.9432687079426542,0.9432750768462075,0.9432798956418165,0.9432740272851414,0.9432565367798182,0.9432524121373942,0.9432456335915049,0.9432371064880188,0.9432340337959708,0.9432264006185441,0.9432188749948754,0.943224681276148,0.9432304875574207,0.9432362938386932,0.9432402886427407,0.9432269179475208,0.9432020740635172,0.94317649989618,0.9431680113518655,0.9431730709708873,0.9431789345261983,0.9431847980815093,0.9431906616368203,0.9431870610376413,0.9431630521555322,0.9431487829146161,0.9431452799003168,0.9431285182302254,0.9431093264533124,0.9431006718735163,0.943091595827868,0.9430652018721031,0.9430509815453958,0.9430360182075057,0.943027400679958,0.9430097259256949,0.9429993038876754,0.943002471306082,0.9429981990218141,0.9429750282952665,0.9429327354809909,0.9428938630471742,0.9428744027540878,0.9428726869790922,0.9428691489126451,0.9428581020638894,0.9428440731689349,0.9428281304631454,0.9428110819315803,0.9428033382539065,0.9428036836121494,0.9428032154589236,0.9427892311063131,0.9427613538440698,0.942726764106739,0.9427112134678761,0.9427175982881388,0.9427239831084018,0.9427303679286645,0.9427367527489274,0.9427218037695204,0.9426875507795518,0.9426451688350179,0.942618656159515,0.9426153947123252,0.9426206995892417,0.9426146151237234,0.9425911154998624,0.9425496668677334,0.9425270443372455,0.9425187032331606,0.9425250986737768,0.9425313689798913,0.9425290561141344,0.9424989354530839,0.9424484652689298,0.9424246404778738,0.9424265397599896,0.9424305663699766,0.9424212405991993,0.9424010240682006,0.9423799991769459,0.9423656323340395,0.9423646350533116,0.9423682707349008,0.9423637916124161,0.9423544547570625,0.9423431946805152,0.94232920218284,0.9423121379077988,0.9422946712094636,0.9422919123633406,0.9422973907238628,0.9422897612347687,0.942275125799251,0.942249469172949,0.9422156534434738,0.9421956215956161,0.9421981981412875,0.9422024227477983,0.9421890470925309,0.9421654993044006,0.9421294829470377,0.9421055047110085,0.9420734802074381,0.9420601027166706,0.9420519132414801,0.942041452005888,0.9420307357120772,0.9420209075405291,0.9420184828336455,0.9420094229819891,0.9419822518783881,0.9419553751366125,0.9419190029452296,0.9419055539953962,0.9419116480500012,0.9419177421046061,0.9419238361592113,0.9419299302138162,0.9419309550657482,0.9419104215551468,0.9418863395801209,0.9418382413455157,0.9418195318819791,0.9418217146417811,0.9418261408940883,0.9418199475769284,0.9418089121557169,0.9417869699337613,0.9417749989285761,0.9417630604709147,0.9417509664703565,0.9417172819475941,0.9416827519953916,0.9416641368421995,0.9416430002279659,0.9416300193894562,0.9416113538590456,0.9415828881544885,0.941570903986,0.9415458121385709,0.9415304035640273,0.9415204564450512,0.9414986943289628,0.9414869881491097,0.9414591937141461,0.9414577136460984,0.9414395576301156,0.9414182419206272,0.9413800299202113,0.9413634160753361,0.9413398448452803,0.9413172526367449,0.9413122168276224,0.941267896715048,0.9412463111215187,0.9412285725731417,0.9412020347386387,0.9411707651183823,0.9411566144371362,0.9411111039012099,0.9411008663023899,0.9410924489113817,0.9410650753467549,0.9410580822561856,0.9410402577606172,0.9410123433431168,0.9410021736116068,0.9409875677476429,0.9409717304294019,0.9409699746388154,0.9409487520661854,0.9409197636606454,0.9408790276565957,0.9408677614477554,0.9408618132005981,0.9408222808808266,0.9407881258566592,0.9407754830906112,0.9407564432614156,0.9407292845309497,0.9406908277622049,0.9406933018074791,0.940677726338617,0.9406441236058611,0.9405875070533893,0.9405595351885577,0.9405339074225745,0.9405203150477855,0.9404971718257862,0.940471404808024,0.9404483854038943,0.9404249637269324,0.9404148837266454,0.9403955878120978,0.9403821338826241,0.9403466651645263,0.9403210377917273,0.9403070094919888,0.9402907715275699,0.9402640522760938,0.9402579848839625,0.9402222608386648,0.940214436901313,0.9402021681573326,0.9401809875151403,0.9401538540653405,0.9401242998586924,0.9401072098341794,0.9400717157016071,0.9400479212888034,0.9400429029202382,0.9400361042579726,0.9400128807333716,0.9399586773591673,0.9399422993440996,0.9399113991498531,0.9398737508640713,0.9398556105674982,0.9398367762882829,0.939785002459976,0.9397678437737822,0.9397567724316629,0.9397277590767761,0.9397092808142251,0.9397121731410669,0.9396858716732561,0.9396706819583378,0.9396402332259198,0.9396143245336549,0.9395764387185839,0.9395527636719152,0.9395455076946735,0.9395301161248176,0.9395154241884819,0.9395057766900765,0.9394952088406874,0.9394743477143985,0.9394722786888063,0.9394591631285838,0.9394448144498508,0.9394336769507761,0.9394079119576253,0.9393831469052317,0.9393663029518495,0.9393369840639274,0.9393012836741882,0.9392725800126971,0.9392537985920071,0.9392296178632165,0.9391946733985643,0.9391652850847698,0.9391448012072485,0.9391070240980011,0.9390752828256897,0.9390598105423309,0.9390395261632317,0.9390141449993046,0.9389887328261096,0.9389471127473941,0.9389298312964469,0.9389075556803956,0.9388948359075726,0.9388932157893223,0.9388667589062778,0.9388589544161712,0.9388611102098563,0.9388655298898845,0.9388519854057823,0.9388341632852621,0.9388069716282128,0.9387959442614213,0.9387837597900452,0.9387478316649891,0.9387371060141141,0.9387349759080564,0.9387210576764313,0.9386975907577657,0.9386524735318285,0.9386127770166672,0.938587293251133,0.938543383157435,0.9385029248520798,0.9384822745754409,0.9384660503165845,0.9384346516093172,0.9384243243255321,0.9383798463356539,0.9383757555499264,0.938350855812951,0.9383025467733026,0.9382685481317647,0.9382366714631023,0.938210478545245,0.9381958030378784,0.9381826482000541,0.9381694360145691,0.9381437127735948,0.9381054896556141,0.9380844945075144,0.9380553971980345,0.9380199600596585,0.9379738232301342,0.9379284884028821,0.937890921730224,0.9378862227042951,0.9378850643811758,0.9378185625543856,0.9377866907445274,0.9377594118395118,0.9377292737609866,0.9376976813022555,0.937656467986071,0.937637333155846,0.9375820997332325,0.9375598423158052,0.9375369698786267,0.9375164799485687,0.9374836994501781,0.9374695120385717,0.9374394470029087,0.9373984203577879,0.9373529500608155,0.937329352240563,0.9372896860258658,0.9372611679383007,0.9372381517388696,0.9372187228892954,0.9371930202449282,0.9371789277305953,0.9371620395286299,0.9371296132214509,0.9370853415798586,0.937060903932887,0.9370178387553127,0.9369696712597878,0.9369269499310838,0.9369094244179536,0.9368716931380485,0.9368722195899508,0.9368473360671773,0.9368205876850754,0.9368054202367956,0.9367747977225864,0.9367271072203397,0.9366713896905525,0.9366278365581119,0.9365900552431329,0.9365589057669064,0.9365218724803177,0.936486137143574,0.9364466481290685,0.9363990467005087,0.9363545538158323,0.9363345769964091,0.9362976689267439,0.9362648694644944,0.9362228944784822,0.9361809602762461,0.936122739167527,0.9360962176719805,0.9360495563089994,0.9360242263547627,0.9359810081709565,0.9359431091922034,0.9358848401059826,0.9358662211336528,0.935826580959856,0.9357893654057179,0.9357623831494324,0.935747114823203,0.9356963514350611,0.935650157714288,0.9356095800819133,0.9355898322334125,0.9355497749871584,0.9355062446442024,0.9354718499677444,0.935439101175241,0.9354160511710168,0.9353785270092589,0.9353372762461865,0.9353029791979498,0.9352541595908095,0.9352086204253591,0.9351747532126746,0.9351362008922743,0.9350980808016456,0.9350593554835319,0.9350135958377829,0.9349665853351439,0.9349280270942506,0.9349002365419161,0.9348630427268132,0.9348209480388792,0.9347865495113026,0.9347398027807572,0.9346933270940949,0.9346398200828023,0.9345939106985559,0.9345551745865517,0.934525235969,0.9344991760681216,0.9344711198823681,0.9344133292581865,0.9343509850267455,0.9342907095394548,0.9342514175367209,0.9342166911107248,0.9341654262927892,0.934124636365812,0.9340652548830597,0.9340203947535228,0.9339885743193945,0.9339479022654684,0.9338941988192079,0.9338434238849129,0.9337985862370708,0.9337631608171195,0.9337170346756918,0.933671970835511,0.9336270099443169,0.9335941427477155,0.9335283590100574,0.93347237507674,0.9334230823441102,0.9333867979936266,0.9333433790648201,0.9332923563212475,0.9332558784043502,0.9332065965424838,0.9331525528095708,0.9331141177902793,0.9330842083657724,0.933031964240177,0.9329761278979765,0.932925829111104,0.9328879548610176,0.9328273361373125,0.9327623732504472,0.9326984598557717,0.9326450456067515,0.9325896149043018,0.932547627004822,0.9324871253732457,0.9324379942351075,0.9323768685714647,0.9323454128868518,0.9322908415923021,0.9322546419684319,0.932222100260107,0.9321796324995564,0.9321362473162027,0.9320889129799229,0.9320320875081277,0.9319662772768247,0.9319260921530095,0.9318602428812055,0.9318162238446726,0.931759212756935,0.9317091506583781,0.9316500166136947,0.9316016077327371,0.931534350775377,0.9314688065941137,0.9314253508401076,0.9313580412851463,0.9313151265725894,0.9312462374175106,0.9312039080367878,0.9311520810337726,0.9311017354306845,0.9310380841714889,0.930984262312728,0.9309114512606549,0.930857400756396,0.9307930448754884,0.9307235552312592,0.9306751786816039,0.9306031101245373,0.9305534096307471,0.9304776058675924,0.9304215982279744,0.9303796150898902,0.9303162237059699,0.9302696031486494,0.9302059243607967,0.9301615313544783,0.9301082224660846,0.9300488358910934,0.9299869205752831,0.9299118220817457,0.9298505829392014,0.9297844927931644,0.9297174903777388,0.9296477683527091,0.9295982679661028,0.9295242978767553,0.929462693218591,0.9293995932164449,0.9293448654667562,0.9292843684439787,0.9292148814866271,0.9291387798303564,0.92907359485425,0.9290172948224273,0.9289515798809482,0.9288882962311014,0.9288114904299881,0.9287546397635209,0.9286830302976655,0.9286283157199142,0.9285723445917449,0.9285053832631506,0.9284664399327135,0.9284311408062993,0.928369176724758,0.9282941752917462,0.9282325672269975,0.9281637898839756,0.9280841334563985,0.9280070171513028,0.9279464289327422,0.9278812736654721,0.9278095233730795,0.9277317359637136,0.9276565342440378,0.9275842647988563,0.9275090467458668,0.9274145458151671,0.9273296446301336,0.9272605220973447,0.9271818956600564,0.9271095464723483,0.9270450830867327,0.9269781314366301,0.9269033615255069,0.926820612065467,0.9267444075735676,0.9266770913863009,0.9266015034241629,0.9265171554896177,0.926432712002918,0.9263568766345851,0.9263121826892122,0.9262579074387844,0.9261692714272994,0.9260915155986449,0.925999363621117,0.9259062795223286,0.925824803721339,0.9257659987137736,0.9256962365698331,0.9256139271456019,0.9255302726743835,0.9254453910268998,0.9253590930540142,0.9252686678265043,0.9251855528473525,0.9250825638480047,0.924994139842533,0.9249163353341284,0.9248513192614904,0.9247952644529791,0.924731734999421,0.9246483218052722,0.9245539803091014,0.9244447182007945,0.9243398078213296,0.9242590858617274,0.9241572893604522,0.9240486789791406,0.923962698919043,0.9238762970724093,0.9237743689977441,0.9236669283485499,0.9235727927448796,0.9234927763074843,0.923386821733931,0.9232716102080202,0.9231958810737717,0.9231036656209467,0.9230198992121593,0.9229340999945346,0.9228287402117936,0.9227294253501066,0.9226227677251642,0.9225116040290688,0.9224041134446842,0.9223048213355702,0.922215779879419,0.9221240797842496,0.9220432677029129,0.9219655813851284,0.9218679062888988,0.9217564468812283,0.9216424747486098,0.9215406283097862,0.9214266928056032,0.9212753074845277,0.9211574522007002,0.9210609283580242,0.9209597392242455,0.9208765008238929,0.9207518880013329,0.9206347521888172,0.9205223810609919,0.9204038457628139,0.9202796337072872,0.9201745843393441,0.9200786291519226,0.9199640745987345,0.9198618166262509,0.9197495644885213,0.9196209005743408,0.9194851049282149,0.9193694490251305,0.9192534646798917,0.919135680206605,0.9189974704471005,0.9189005038016427,0.9187913433486037,0.9186684625442236,0.918557643099541,0.918461651471224,0.9183464048761122,0.9182116956756827,0.9180663997151963,0.9179480675623974,0.9178357841405074,0.9177044560867038,0.9175823463662081,0.9174790616783634,0.9173713966891397,0.9172205768206781,0.9171013956360012,0.9169489652710077,0.9168032033079714,0.9166415257427796,0.9164764722105763,0.9163407902789061,0.9161958125654273,0.91606782467493,0.9159562605663418,0.9158617059237664,0.9157221667719768,0.9155671129959599,0.9154577292317146,0.9153157333394646,0.9151782521579166,0.9150364971360094,0.9148631478016725,0.914711940251988,0.9145700799806945,0.9144589928698423,0.9142816018653241,0.914125002049476,0.9139831468043632,0.9138265850997898,0.9137044351620416,0.9135318201389406,0.9134366350832259,0.9133181565078593,0.9131776338880717,0.9130450166104207,0.9128786384859432,0.9127017921456,0.9125376641214713,0.9124176923350347,0.9122297267114643,0.9120912173960146,0.9119205011896171,0.9118344106692148,0.9117221834548952,0.9115396107064238,0.9113566171655316,0.9111935038588432,0.9112516065493946,0.91112128810965,0.911031395217222,0.910906514134311,0.910802281564719,0.9106894909359263,0.9105732688984671,0.910423659964702,0.9102203961425399,0.9100183853980549,0.9098387979034328,0.9096513296659416,0.9094932378579751,0.9093018185405135,0.909101696808548,0.9088458013271554,0.9086649423592141,0.9083950551008546,0.90816301979849,0.907900478849909,0.9076818381979725,0.9075271310437971,0.907286627014271,0.9071101201734294,0.9068596936085112,0.9064979411046528,0.9056070068976501,0.905132056260434,0.9048474766616587,0.9045991284377043,0.9043096380247946,0.9040545704184834,0.9036922953073611,0.9028135243153831,0.9001020123251888,0.8992643913396268,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},{\\\"fill\\\":\\\"tonexty\\\",\\\"fillcolor\\\":\\\"rgba(0, 200, 0, 0.2)\\\",\\\"hoverinfo\\\":\\\"skip\\\",\\\"line\\\":{\\\"color\\\":\\\"rgba(0, 200, 0, 1)\\\",\\\"width\\\":0.0},\\\"name\\\":\\\"Blast/CNN-ensemble\\\",\\\"showlegend\\\":false,\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.5,0.5001,0.5002,0.5003,0.5004,0.5005,0.5006,0.5007,0.5008,0.5009,0.501,0.5011,0.5012,0.5013,0.5014,0.5015,0.5016,0.5017,0.5018,0.5019,0.502,0.5021,0.5022,0.5023,0.5024,0.5025,0.5026,0.5027,0.5028,0.5029,0.503,0.5031,0.5032,0.5033,0.5034,0.5035,0.5036,0.5037,0.5038,0.5039,0.504,0.5041,0.5042,0.5043,0.5044,0.5045,0.5046,0.5047,0.5048,0.5049,0.505,0.5051,0.5052,0.5053,0.5054,0.5055,0.5056,0.5057,0.5058,0.5059,0.506,0.5061,0.5062,0.5063,0.5064,0.5065,0.5066,0.5067,0.5068,0.5069,0.507,0.5071,0.5072,0.5073,0.5074,0.5075,0.5076,0.5077,0.5078,0.5079,0.508,0.5081,0.5082,0.5083,0.5084,0.5085,0.5086,0.5087,0.5088,0.5089,0.509,0.5091,0.5092,0.5093,0.5094,0.5095,0.5096,0.5097,0.5098,0.5099,0.51,0.5101,0.5102,0.5103,0.5104,0.5105,0.5106,0.5107,0.5108,0.5109,0.511,0.5111,0.5112,0.5113,0.5114,0.5115,0.5116,0.5117,0.5118,0.5119,0.512,0.5121,0.5122,0.5123,0.5124,0.5125,0.5126,0.5127,0.5128,0.5129,0.513,0.5131,0.5132,0.5133,0.5134,0.5135,0.5136000000000001,0.5137,0.5138,0.5139,0.514,0.5141,0.5142,0.5143,0.5144,0.5145,0.5146,0.5147,0.5148,0.5149,0.515,0.5151,0.5152,0.5153,0.5154,0.5155,0.5156,0.5157,0.5158,0.5159,0.516,0.5161,0.5162,0.5163,0.5164,0.5165,0.5166,0.5167,0.5168,0.5169,0.517,0.5171,0.5172,0.5173,0.5174,0.5175,0.5176,0.5177,0.5178,0.5179,0.518,0.5181,0.5182,0.5183,0.5184,0.5185,0.5186,0.5187,0.5188,0.5189,0.519,0.5191,0.5192,0.5193,0.5194,0.5195,0.5196,0.5197,0.5198,0.5199,0.52,0.5201,0.5202,0.5203,0.5204,0.5205,0.5206,0.5207,0.5208,0.5209,0.521,0.5211,0.5212,0.5213,0.5214,0.5215,0.5216,0.5217,0.5218,0.5219,0.522,0.5221,0.5222,0.5223,0.5224,0.5225,0.5226,0.5227,0.5228,0.5229,0.523,0.5231,0.5232,0.5233,0.5234,0.5235,0.5236,0.5237,0.5238,0.5239,0.524,0.5241,0.5242,0.5243,0.5244,0.5245,0.5246,0.5246999999999999,0.5248,0.5249,0.525,0.5251,0.5252,0.5253,0.5254,0.5255,0.5256,0.5257000000000001,0.5258,0.5259,0.526,0.5261,0.5262,0.5263,0.5264,0.5265,0.5266,0.5267,0.5268,0.5269,0.527,0.5271,0.5272,0.5273,0.5274,0.5275,0.5276,0.5277000000000001,0.5278,0.5279,0.528,0.5281,0.5282,0.5283,0.5284,0.5285,0.5286,0.5287,0.5288,0.5289,0.529,0.5291,0.5292,0.5293,0.5294,0.5295,0.5296,0.5297,0.5298,0.5299,0.53,0.5301,0.5302,0.5303,0.5304,0.5305,0.5306,0.5307,0.5308,0.5309,0.531,0.5311,0.5312,0.5313,0.5314,0.5315,0.5316,0.5317,0.5318,0.5319,0.532,0.5321,0.5322,0.5323,0.5324,0.5325,0.5326,0.5327,0.5328,0.5329,0.533,0.5331,0.5332,0.5333,0.5334,0.5335,0.5336,0.5337,0.5338,0.5339,0.534,0.5341,0.5342,0.5343,0.5344,0.5345,0.5346,0.5347,0.5348,0.5349,0.535,0.5351,0.5352,0.5353,0.5354,0.5355,0.5356,0.5357,0.5358,0.5359,0.536,0.5361,0.5362,0.5363,0.5364,0.5365,0.5366,0.5367,0.5367999999999999,0.5369,0.537,0.5371,0.5372,0.5373,0.5374,0.5375,0.5376,0.5377,0.5378000000000001,0.5379,0.538,0.5381,0.5382,0.5383,0.5384,0.5385,0.5386,0.5387,0.5388,0.5389,0.539,0.5391,0.5392,0.5393,0.5394,0.5395,0.5396,0.5397,0.5398000000000001,0.5399,0.54,0.5401,0.5402,0.5403,0.5404,0.5405,0.5406,0.5407,0.5408,0.5409,0.541,0.5411,0.5412,0.5413,0.5414,0.5415,0.5416,0.5417,0.5418000000000001,0.5419,0.542,0.5421,0.5422,0.5423,0.5424,0.5425,0.5426,0.5427,0.5428,0.5429,0.543,0.5431,0.5432,0.5433,0.5434,0.5435,0.5436,0.5437,0.5438,0.5439,0.544,0.5441,0.5442,0.5443,0.5444,0.5445,0.5446,0.5447,0.5448,0.5449,0.545,0.5451,0.5452,0.5453,0.5454,0.5455,0.5456,0.5457,0.5458,0.5459,0.546,0.5461,0.5462,0.5463,0.5464,0.5465,0.5466,0.5467,0.5468,0.5469,0.547,0.5471,0.5472,0.5473,0.5474,0.5475,0.5476,0.5477,0.5478,0.5479,0.548,0.5481,0.5482,0.5483,0.5484,0.5485,0.5486,0.5487,0.5488,0.5488999999999999,0.549,0.5491,0.5492,0.5493,0.5494,0.5495,0.5496,0.5497,0.5498,0.5499,0.55,0.5501,0.5502,0.5503,0.5504,0.5505,0.5506,0.5507,0.5508,0.5509,0.551,0.5511,0.5512,0.5513,0.5514,0.5515,0.5516,0.5517,0.5518,0.5519000000000001,0.552,0.5521,0.5522,0.5523,0.5524,0.5525,0.5526,0.5527,0.5528,0.5529,0.553,0.5531,0.5532,0.5533,0.5534,0.5535,0.5536,0.5537,0.5538,0.5539000000000001,0.554,0.5541,0.5542,0.5543,0.5544,0.5545,0.5546,0.5547,0.5548,0.5549,0.555,0.5551,0.5552,0.5553,0.5554,0.5555,0.5556,0.5557,0.5558,0.5559000000000001,0.556,0.5561,0.5562,0.5563,0.5564,0.5565,0.5566,0.5567,0.5568,0.5569,0.557,0.5571,0.5572,0.5573,0.5574,0.5575,0.5576,0.5577,0.5578,0.5579,0.558,0.5581,0.5582,0.5583,0.5584,0.5585,0.5586,0.5587,0.5588,0.5589,0.559,0.5591,0.5592,0.5593,0.5594,0.5595,0.5596,0.5597,0.5598,0.5599,0.56,0.5601,0.5602,0.5603,0.5604,0.5605,0.5606,0.5607,0.5608,0.5609,0.561,0.5611,0.5612,0.5613,0.5614,0.5615,0.5616,0.5617,0.5618,0.5619,0.562,0.5621,0.5622,0.5623,0.5624,0.5625,0.5626,0.5627,0.5628,0.5629,0.563,0.5631,0.5632,0.5633,0.5634,0.5635,0.5636,0.5637,0.5638,0.5639,0.5640000000000001,0.5641,0.5642,0.5643,0.5644,0.5645,0.5646,0.5647,0.5648,0.5649,0.565,0.5651,0.5652,0.5653,0.5654,0.5655,0.5656,0.5657,0.5658,0.5659,0.5660000000000001,0.5661,0.5662,0.5663,0.5664,0.5665,0.5666,0.5667,0.5668,0.5669,0.567,0.5671,0.5672,0.5673,0.5674,0.5675,0.5676,0.5677,0.5678,0.5679,0.5680000000000001,0.5681,0.5682,0.5683,0.5684,0.5685,0.5686,0.5687,0.5688,0.5689,0.569,0.5691,0.5692,0.5693,0.5694,0.5695,0.5696,0.5697,0.5698,0.5699,0.5700000000000001,0.5701,0.5702,0.5703,0.5704,0.5705,0.5706,0.5707,0.5708,0.5709,0.571,0.5710999999999999,0.5712,0.5713,0.5714,0.5715,0.5716,0.5717,0.5718,0.5719,0.5720000000000001,0.5721,0.5722,0.5723,0.5724,0.5725,0.5726,0.5727,0.5728,0.5729,0.573,0.5730999999999999,0.5732,0.5733,0.5734,0.5735,0.5736,0.5737,0.5738,0.5739,0.5740000000000001,0.5741,0.5742,0.5743,0.5744,0.5745,0.5746,0.5747,0.5748,0.5749,0.575,0.5751,0.5752,0.5753,0.5754,0.5755,0.5756,0.5757,0.5758,0.5759,0.576,0.5761000000000001,0.5762,0.5763,0.5764,0.5765,0.5766,0.5767,0.5768,0.5769,0.577,0.5771,0.5772,0.5773,0.5774,0.5775,0.5776,0.5777,0.5778,0.5779,0.578,0.5781000000000001,0.5782,0.5783,0.5784,0.5785,0.5786,0.5787,0.5788,0.5789,0.579,0.5791,0.5792,0.5793,0.5794,0.5795,0.5796,0.5797,0.5798,0.5799,0.58,0.5801000000000001,0.5802,0.5803,0.5804,0.5805,0.5806,0.5807,0.5808,0.5809,0.581,0.5811,0.5812,0.5813,0.5814,0.5815,0.5816,0.5817,0.5818,0.5819,0.582,0.5821000000000001,0.5822,0.5823,0.5824,0.5825,0.5826,0.5827,0.5828,0.5829,0.583,0.5831,0.5832,0.5833,0.5834,0.5835,0.5836,0.5837,0.5838,0.5839,0.584,0.5841000000000001,0.5842,0.5843,0.5844,0.5845,0.5846,0.5847,0.5848,0.5849,0.585,0.5851,0.5851999999999999,0.5853,0.5854,0.5855,0.5856,0.5857,0.5858,0.5859,0.586,0.5861000000000001,0.5862,0.5863,0.5864,0.5865,0.5866,0.5867,0.5868,0.5869,0.587,0.5871,0.5871999999999999,0.5873,0.5874,0.5875,0.5876,0.5877,0.5878,0.5879,0.588,0.5881,0.5882000000000001,0.5883,0.5884,0.5885,0.5886,0.5887,0.5888,0.5889,0.589,0.5891,0.5892,0.5893,0.5894,0.5895,0.5896,0.5897,0.5898,0.5899,0.59,0.5901,0.5902000000000001,0.5903,0.5904,0.5905,0.5906,0.5907,0.5908,0.5909,0.591,0.5911,0.5912,0.5913,0.5914,0.5915,0.5916,0.5917,0.5918,0.5919,0.592,0.5921,0.5922000000000001,0.5923,0.5924,0.5925,0.5926,0.5927,0.5928,0.5929,0.593,0.5931,0.5932,0.5933,0.5934,0.5935,0.5936,0.5937,0.5938,0.5939,0.594,0.5941,0.5942000000000001,0.5943,0.5944,0.5945,0.5946,0.5947,0.5948,0.5949,0.595,0.5951,0.5952,0.5953,0.5954,0.5955,0.5956,0.5957,0.5958,0.5959,0.596,0.5961,0.5962000000000001,0.5963,0.5964,0.5965,0.5966,0.5967,0.5968,0.5969,0.597,0.5971,0.5972,0.5973,0.5974,0.5975,0.5976,0.5977,0.5978,0.5979,0.598,0.5981,0.5982000000000001,0.5983,0.5984,0.5985,0.5986,0.5987,0.5988,0.5989,0.599,0.5991,0.5992,0.5992999999999999,0.5994,0.5995,0.5996,0.5997,0.5998,0.5999,0.6,0.6001,0.6002000000000001,0.6003000000000001,0.6004,0.6005,0.6006,0.6007,0.6008,0.6009,0.601,0.6011,0.6012,0.6013,0.6014,0.6015,0.6016,0.6017,0.6018,0.6019,0.602,0.6021,0.6022,0.6023000000000001,0.6024,0.6025,0.6026,0.6027,0.6028,0.6029,0.603,0.6031,0.6032,0.6033,0.6034,0.6035,0.6036,0.6037,0.6038,0.6039,0.604,0.6041,0.6042,0.6043000000000001,0.6044,0.6045,0.6046,0.6047,0.6048,0.6049,0.605,0.6051,0.6052,0.6053,0.6054,0.6055,0.6056,0.6057,0.6058,0.6059,0.606,0.6061,0.6062,0.6063000000000001,0.6064,0.6065,0.6066,0.6067,0.6068,0.6069,0.607,0.6071,0.6072,0.6073,0.6074,0.6075,0.6076,0.6077,0.6078,0.6079,0.608,0.6081,0.6082,0.6083000000000001,0.6084,0.6085,0.6086,0.6087,0.6088,0.6089,0.609,0.6091,0.6092,0.6093,0.6094,0.6095,0.6096,0.6097,0.6098,0.6099,0.61,0.6101,0.6102,0.6103000000000001,0.6104,0.6105,0.6106,0.6107,0.6108,0.6109,0.611,0.6111,0.6112,0.6113,0.6113999999999999,0.6115,0.6116,0.6117,0.6118,0.6119,0.612,0.6121,0.6122,0.6123000000000001,0.6124,0.6125,0.6126,0.6127,0.6128,0.6129,0.613,0.6131,0.6132,0.6133,0.6134,0.6135,0.6136,0.6137,0.6138,0.6139,0.614,0.6141,0.6142,0.6143,0.6144000000000001,0.6145,0.6146,0.6147,0.6148,0.6149,0.615,0.6151,0.6152,0.6153,0.6154,0.6155,0.6156,0.6157,0.6158,0.6159,0.616,0.6161,0.6162,0.6163,0.6164000000000001,0.6165,0.6166,0.6167,0.6168,0.6169,0.617,0.6171,0.6172,0.6173,0.6174,0.6175,0.6176,0.6177,0.6178,0.6179,0.618,0.6181,0.6182,0.6183,0.6184000000000001,0.6185,0.6186,0.6187,0.6188,0.6189,0.619,0.6191,0.6192,0.6193,0.6194,0.6195,0.6196,0.6197,0.6198,0.6199,0.62,0.6201,0.6202,0.6203,0.6204000000000001,0.6205,0.6206,0.6207,0.6208,0.6209,0.621,0.6211,0.6212,0.6213,0.6214,0.6215,0.6216,0.6217,0.6218,0.6219,0.622,0.6221,0.6222,0.6223,0.6224000000000001,0.6225,0.6226,0.6227,0.6228,0.6229,0.623,0.6231,0.6232,0.6233,0.6234,0.6235,0.6236,0.6237,0.6238,0.6239,0.624,0.6241,0.6242,0.6243,0.6244000000000001,0.6245,0.6246,0.6247,0.6248,0.6249,0.625,0.6251,0.6252,0.6253,0.6254,0.6255,0.6256,0.6257,0.6258,0.6259,0.626,0.6261,0.6262,0.6263,0.6264000000000001,0.6265000000000001,0.6266,0.6267,0.6268,0.6269,0.627,0.6271,0.6272,0.6273,0.6274,0.6275,0.6276,0.6277,0.6278,0.6279,0.628,0.6281,0.6282,0.6283,0.6284000000000001,0.6285000000000001,0.6286,0.6287,0.6288,0.6289,0.629,0.6291,0.6292,0.6293,0.6294,0.6295,0.6295999999999999,0.6297,0.6298,0.6299,0.63,0.6301,0.6302,0.6303,0.6304000000000001,0.6305000000000001,0.6306,0.6307,0.6308,0.6309,0.631,0.6311,0.6312,0.6313,0.6314,0.6315,0.6315999999999999,0.6317,0.6318,0.6319,0.632,0.6321,0.6322,0.6323,0.6324000000000001,0.6325000000000001,0.6326,0.6327,0.6328,0.6329,0.633,0.6331,0.6332,0.6333,0.6334,0.6335,0.6335999999999999,0.6337,0.6338,0.6339,0.634,0.6341,0.6342,0.6343,0.6344000000000001,0.6345000000000001,0.6346,0.6347,0.6348,0.6349,0.635,0.6351,0.6352,0.6353,0.6354,0.6355,0.6355999999999999,0.6357,0.6358,0.6359,0.636,0.6361,0.6362,0.6363,0.6364,0.6365000000000001,0.6366,0.6367,0.6368,0.6369,0.637,0.6371,0.6372,0.6373,0.6374,0.6375,0.6376,0.6377,0.6378,0.6379,0.638,0.6381,0.6382,0.6383,0.6384,0.6385000000000001,0.6386000000000001,0.6387,0.6388,0.6389,0.639,0.6391,0.6392,0.6393,0.6394,0.6395,0.6396,0.6397,0.6398,0.6399,0.64,0.6401,0.6402,0.6403,0.6404,0.6405000000000001,0.6406000000000001,0.6407,0.6408,0.6409,0.641,0.6411,0.6412,0.6413,0.6414,0.6415,0.6416,0.6417,0.6418,0.6419,0.642,0.6421,0.6422,0.6423,0.6424,0.6425000000000001,0.6426000000000001,0.6427,0.6428,0.6429,0.643,0.6431,0.6432,0.6433,0.6434,0.6435,0.6436,0.6436999999999999,0.6438,0.6439,0.644,0.6441,0.6442,0.6443,0.6444,0.6445000000000001,0.6446000000000001,0.6447,0.6448,0.6449,0.645,0.6451,0.6452,0.6453,0.6454,0.6455,0.6456,0.6456999999999999,0.6458,0.6459,0.646,0.6461,0.6462,0.6463,0.6464,0.6465000000000001,0.6466000000000001,0.6467,0.6468,0.6469,0.647,0.6471,0.6472,0.6473,0.6474,0.6475,0.6476,0.6476999999999999,0.6478,0.6479,0.648,0.6481,0.6482,0.6483,0.6484,0.6485000000000001,0.6486000000000001,0.6487,0.6488,0.6489,0.649,0.6491,0.6492,0.6493,0.6494,0.6495,0.6496,0.6496999999999999,0.6498,0.6499,0.65,0.6501,0.6502,0.6503,0.6504,0.6505,0.6506000000000001,0.6507000000000001,0.6508,0.6509,0.651,0.6511,0.6512,0.6513,0.6514,0.6515,0.6516,0.6517,0.6518,0.6519,0.652,0.6521,0.6522,0.6523,0.6524,0.6525,0.6526000000000001,0.6527000000000001,0.6528,0.6529,0.653,0.6531,0.6532,0.6533,0.6534,0.6535,0.6536,0.6537,0.6538,0.6539,0.654,0.6541,0.6542,0.6543,0.6544,0.6545,0.6546000000000001,0.6547000000000001,0.6548,0.6549,0.655,0.6551,0.6552,0.6553,0.6554,0.6555,0.6556,0.6557,0.6557999999999999,0.6559,0.656,0.6561,0.6562,0.6563,0.6564,0.6565,0.6566000000000001,0.6567000000000001,0.6568,0.6569,0.657,0.6571,0.6572,0.6573,0.6574,0.6575,0.6576,0.6577,0.6577999999999999,0.6579,0.658,0.6581,0.6582,0.6583,0.6584,0.6585,0.6586000000000001,0.6587000000000001,0.6588,0.6589,0.659,0.6591,0.6592,0.6593,0.6594,0.6595,0.6596,0.6597,0.6597999999999999,0.6599,0.66,0.6601,0.6602,0.6603,0.6604,0.6605,0.6606000000000001,0.6607000000000001,0.6608,0.6609,0.661,0.6611,0.6612,0.6613,0.6614,0.6615,0.6616,0.6617,0.6617999999999999,0.6619,0.662,0.6621,0.6622,0.6623,0.6624,0.6625,0.6626,0.6627000000000001,0.6628000000000001,0.6629,0.663,0.6631,0.6632,0.6633,0.6634,0.6635,0.6636,0.6637,0.6638,0.6639,0.664,0.6641,0.6642,0.6643,0.6644,0.6645,0.6646,0.6647000000000001,0.6648000000000001,0.6649,0.665,0.6651,0.6652,0.6653,0.6654,0.6655,0.6656,0.6657,0.6658,0.6659,0.666,0.6661,0.6662,0.6663,0.6664,0.6665,0.6666,0.6667000000000001,0.6668000000000001,0.6669,0.667,0.6671,0.6672,0.6673,0.6674,0.6675,0.6676,0.6677,0.6678,0.6679,0.668,0.6681,0.6682,0.6683,0.6684,0.6685,0.6686,0.6687000000000001,0.6688000000000001,0.6689,0.669,0.6691,0.6692,0.6693,0.6694,0.6695,0.6696,0.6697,0.6698,0.6698999999999999,0.67,0.6701,0.6702,0.6703,0.6704,0.6705,0.6706,0.6707000000000001,0.6708000000000001,0.6709,0.671,0.6711,0.6712,0.6713,0.6714,0.6715,0.6716,0.6717,0.6718,0.6718999999999999,0.672,0.6721,0.6722,0.6723,0.6724,0.6725,0.6726,0.6727000000000001,0.6728000000000001,0.6729,0.673,0.6731,0.6732,0.6733,0.6734,0.6735,0.6736,0.6737,0.6738,0.6738999999999999,0.674,0.6741,0.6742,0.6743,0.6744,0.6745,0.6746,0.6747000000000001,0.6748000000000001,0.6749,0.675,0.6751,0.6752,0.6753,0.6754,0.6755,0.6756,0.6757,0.6758,0.6759,0.676,0.6761,0.6762,0.6763,0.6764,0.6765,0.6766,0.6767,0.6768000000000001,0.6769000000000001,0.677,0.6771,0.6772,0.6773,0.6774,0.6775,0.6776,0.6777,0.6778,0.6779,0.678,0.6781,0.6782,0.6783,0.6784,0.6785,0.6786,0.6787,0.6788000000000001,0.6789000000000001,0.679,0.6791,0.6792,0.6793,0.6794,0.6795,0.6796,0.6797,0.6798,0.6799,0.68,0.6801,0.6802,0.6803,0.6804,0.6805,0.6806,0.6807,0.6808000000000001,0.6809000000000001,0.681,0.6811,0.6812,0.6813,0.6814,0.6815,0.6816,0.6817,0.6818,0.6819,0.6819999999999999,0.6821,0.6822,0.6823,0.6824,0.6825,0.6826,0.6827,0.6828000000000001,0.6829000000000001,0.683,0.6831,0.6832,0.6833,0.6834,0.6835,0.6836,0.6837,0.6838,0.6839,0.6839999999999999,0.6841,0.6842,0.6843,0.6844,0.6845,0.6846,0.6847,0.6848000000000001,0.6849000000000001,0.685,0.6851,0.6852,0.6853,0.6854,0.6855,0.6856,0.6857,0.6858,0.6859,0.6859999999999999,0.6861,0.6862,0.6863,0.6864,0.6865,0.6866,0.6867,0.6868000000000001,0.6869000000000001,0.687,0.6871,0.6872,0.6873,0.6874,0.6875,0.6876,0.6877,0.6878,0.6879,0.688,0.6881,0.6882,0.6883,0.6884,0.6885,0.6886,0.6887,0.6888,0.6889000000000001,0.6890000000000001,0.6891,0.6892,0.6893,0.6894,0.6895,0.6896,0.6897,0.6898,0.6899,0.69,0.6901,0.6902,0.6903,0.6904,0.6905,0.6906,0.6907,0.6908,0.6909000000000001,0.6910000000000001,0.6911,0.6912,0.6913,0.6914,0.6915,0.6916,0.6917,0.6918,0.6919,0.692,0.6921,0.6922,0.6923,0.6924,0.6925,0.6926,0.6927,0.6928,0.6929000000000001,0.6930000000000001,0.6931,0.6932,0.6933,0.6934,0.6935,0.6936,0.6937,0.6938,0.6939,0.694,0.6941,0.6942,0.6943,0.6944,0.6945,0.6946,0.6947,0.6948,0.6949000000000001,0.6950000000000001,0.6951,0.6952,0.6953,0.6954,0.6955,0.6956,0.6957,0.6958,0.6959,0.696,0.6960999999999999,0.6962,0.6963,0.6964,0.6965,0.6966,0.6967,0.6968,0.6969000000000001,0.6970000000000001,0.6971,0.6972,0.6973,0.6974,0.6975,0.6976,0.6977,0.6978,0.6979,0.698,0.6980999999999999,0.6982,0.6983,0.6984,0.6985,0.6986,0.6987,0.6988,0.6989000000000001,0.6990000000000001,0.6991,0.6992,0.6993,0.6994,0.6995,0.6996,0.6997,0.6998,0.6999,0.7,0.7001,0.7002,0.7003,0.7004,0.7005,0.7006,0.7007,0.7008,0.7009000000000001,0.7010000000000001,0.7011000000000001,0.7012,0.7013,0.7014,0.7015,0.7016,0.7017,0.7018,0.7019,0.702,0.7021,0.7022,0.7023,0.7024,0.7025,0.7026,0.7027,0.7028,0.7029,0.7030000000000001,0.7031000000000001,0.7032,0.7033,0.7034,0.7035,0.7036,0.7037,0.7038,0.7039,0.704,0.7041,0.7042,0.7043,0.7044,0.7045,0.7046,0.7047,0.7048,0.7049,0.7050000000000001,0.7051000000000001,0.7052,0.7053,0.7054,0.7055,0.7056,0.7057,0.7058,0.7059,0.706,0.7061,0.7062,0.7063,0.7064,0.7065,0.7066,0.7067,0.7068,0.7069,0.7070000000000001,0.7071000000000001,0.7072,0.7073,0.7074,0.7075,0.7076,0.7077,0.7078,0.7079,0.708,0.7081,0.7081999999999999,0.7083,0.7084,0.7085,0.7086,0.7087,0.7088,0.7089,0.7090000000000001,0.7091000000000001,0.7092,0.7093,0.7094,0.7095,0.7096,0.7097,0.7098,0.7099,0.71,0.7101,0.7101999999999999,0.7103,0.7104,0.7105,0.7106,0.7107,0.7108,0.7109,0.7110000000000001,0.7111000000000001,0.7112,0.7113,0.7114,0.7115,0.7116,0.7117,0.7118,0.7119,0.712,0.7121,0.7121999999999999,0.7123,0.7124,0.7125,0.7126,0.7127,0.7128,0.7129,0.7130000000000001,0.7131000000000001,0.7132000000000001,0.7133,0.7134,0.7135,0.7136,0.7137,0.7138,0.7139,0.714,0.7141,0.7142,0.7143,0.7144,0.7145,0.7146,0.7147,0.7148,0.7149,0.715,0.7151000000000001,0.7152000000000001,0.7153,0.7154,0.7155,0.7156,0.7157,0.7158,0.7159,0.716,0.7161,0.7162,0.7163,0.7164,0.7165,0.7166,0.7167,0.7168,0.7169,0.717,0.7171000000000001,0.7172000000000001,0.7173,0.7174,0.7175,0.7176,0.7177,0.7178,0.7179,0.718,0.7181,0.7182,0.7183,0.7184,0.7185,0.7186,0.7187,0.7188,0.7189,0.719,0.7191000000000001,0.7192000000000001,0.7193,0.7194,0.7195,0.7196,0.7197,0.7198,0.7199,0.72,0.7201,0.7202,0.7203,0.7204,0.7205,0.7206,0.7207,0.7208,0.7209,0.721,0.7211000000000001,0.7212000000000001,0.7213,0.7214,0.7215,0.7216,0.7217,0.7218,0.7219,0.722,0.7221,0.7222,0.7222999999999999,0.7224,0.7225,0.7226,0.7227,0.7228,0.7229,0.723,0.7231000000000001,0.7232000000000001,0.7233,0.7234,0.7235,0.7236,0.7237,0.7238,0.7239,0.724,0.7241,0.7242,0.7242999999999999,0.7244,0.7245,0.7246,0.7247,0.7248,0.7249,0.725,0.7251000000000001,0.7252000000000001,0.7253000000000001,0.7254,0.7255,0.7256,0.7257,0.7258,0.7259,0.726,0.7261,0.7262,0.7263,0.7264,0.7265,0.7266,0.7267,0.7268,0.7269,0.727,0.7271000000000001,0.7272000000000001,0.7273000000000001,0.7274,0.7275,0.7276,0.7277,0.7278,0.7279,0.728,0.7281,0.7282,0.7283,0.7284,0.7285,0.7286,0.7287,0.7288,0.7289,0.729,0.7291,0.7292000000000001,0.7293000000000001,0.7294,0.7295,0.7296,0.7297,0.7298,0.7299,0.73,0.7301,0.7302,0.7303,0.7304,0.7305,0.7306,0.7307,0.7308,0.7309,0.731,0.7311,0.7312000000000001,0.7313000000000001,0.7314,0.7315,0.7316,0.7317,0.7318,0.7319,0.732,0.7321,0.7322,0.7323,0.7324,0.7325,0.7326,0.7327,0.7328,0.7329,0.733,0.7331,0.7332000000000001,0.7333000000000001,0.7334,0.7335,0.7336,0.7337,0.7338,0.7339,0.734,0.7341,0.7342,0.7343,0.7344,0.7345,0.7346,0.7347,0.7348,0.7349,0.735,0.7351,0.7352000000000001,0.7353000000000001,0.7354,0.7355,0.7356,0.7357,0.7358,0.7359,0.736,0.7361,0.7362,0.7363,0.7363999999999999,0.7365,0.7366,0.7367,0.7368,0.7369,0.737,0.7371,0.7372000000000001,0.7373000000000001,0.7374,0.7375,0.7376,0.7377,0.7378,0.7379,0.738,0.7381,0.7382,0.7383,0.7384,0.7385,0.7386,0.7387,0.7388,0.7389,0.739,0.7391,0.7392000000000001,0.7393000000000001,0.7394000000000001,0.7395,0.7396,0.7397,0.7398,0.7399,0.74,0.7401,0.7402,0.7403,0.7404,0.7405,0.7406,0.7407,0.7408,0.7409,0.741,0.7411,0.7412,0.7413000000000001,0.7414000000000001,0.7415,0.7416,0.7417,0.7418,0.7419,0.742,0.7421,0.7422,0.7423,0.7424,0.7425,0.7426,0.7427,0.7428,0.7429,0.743,0.7431,0.7432,0.7433000000000001,0.7434000000000001,0.7435,0.7436,0.7437,0.7438,0.7439,0.744,0.7441,0.7442,0.7443,0.7444,0.7445,0.7446,0.7447,0.7448,0.7449,0.745,0.7451,0.7452,0.7453000000000001,0.7454000000000001,0.7455,0.7456,0.7457,0.7458,0.7459,0.746,0.7461,0.7462,0.7463,0.7464,0.7465,0.7466,0.7467,0.7468,0.7469,0.747,0.7471,0.7472,0.7473000000000001,0.7474000000000001,0.7475,0.7476,0.7477,0.7478,0.7479,0.748,0.7481,0.7482,0.7483,0.7484,0.7484999999999999,0.7486,0.7487,0.7488,0.7489,0.749,0.7491,0.7492,0.7493000000000001,0.7494000000000001,0.7495,0.7496,0.7497,0.7498,0.7499,0.75,0.7501,0.7502,0.7503,0.7504,0.7505,0.7505999999999999,0.7507,0.7508,0.7509,0.751,0.7511,0.7512000000000001,0.7513000000000001,0.7514000000000001,0.7515000000000001,0.7516,0.7517,0.7518,0.7519,0.752,0.7521,0.7522,0.7523,0.7524,0.7525,0.7525999999999999,0.7527,0.7528,0.7529,0.753,0.7531,0.7532000000000001,0.7533000000000001,0.7534000000000001,0.7535000000000001,0.7536,0.7537,0.7538,0.7539,0.754,0.7541,0.7542,0.7543,0.7544,0.7545,0.7545999999999999,0.7547,0.7548,0.7549,0.755,0.7551,0.7552000000000001,0.7553000000000001,0.7554000000000001,0.7555000000000001,0.7556,0.7557,0.7558,0.7559,0.756,0.7561,0.7562,0.7563,0.7564,0.7565,0.7565999999999999,0.7567,0.7568,0.7569,0.757,0.7571,0.7572000000000001,0.7573000000000001,0.7574000000000001,0.7575000000000001,0.7576,0.7577,0.7578,0.7579,0.758,0.7581,0.7582,0.7583,0.7584,0.7585,0.7585999999999999,0.7586999999999999,0.7588,0.7589,0.759,0.7591,0.7592,0.7593000000000001,0.7594000000000001,0.7595000000000001,0.7596,0.7597,0.7598,0.7599,0.76,0.7601,0.7602,0.7603,0.7604,0.7605,0.7605999999999999,0.7606999999999999,0.7608,0.7609,0.761,0.7611,0.7612,0.7613000000000001,0.7614000000000001,0.7615000000000001,0.7616,0.7617,0.7618,0.7619,0.762,0.7621,0.7622,0.7623,0.7624,0.7625,0.7626,0.7626999999999999,0.7628,0.7629,0.763,0.7631,0.7632,0.7633000000000001,0.7634000000000001,0.7635000000000001,0.7636000000000001,0.7637,0.7638,0.7639,0.764,0.7641,0.7642,0.7643,0.7644,0.7645,0.7646,0.7646999999999999,0.7648,0.7649,0.765,0.7651,0.7652,0.7653000000000001,0.7654000000000001,0.7655000000000001,0.7656000000000001,0.7657,0.7658,0.7659,0.766,0.7661,0.7662,0.7663,0.7664,0.7665,0.7666,0.7666999999999999,0.7668,0.7669,0.767,0.7671,0.7672,0.7673000000000001,0.7674000000000001,0.7675000000000001,0.7676000000000001,0.7677,0.7678,0.7679,0.768,0.7681,0.7682,0.7683,0.7684,0.7685,0.7686,0.7686999999999999,0.7688,0.7689,0.769,0.7691,0.7692,0.7693000000000001,0.7694000000000001,0.7695000000000001,0.7696000000000001,0.7697,0.7698,0.7699,0.77,0.7701,0.7702,0.7703,0.7704,0.7705,0.7706,0.7706999999999999,0.7708,0.7709,0.771,0.7711,0.7712,0.7713,0.7714000000000001,0.7715000000000001,0.7716000000000001,0.7717,0.7718,0.7719,0.772,0.7721,0.7722,0.7723,0.7724,0.7725,0.7726,0.7726999999999999,0.7727999999999999,0.7729,0.773,0.7731,0.7732,0.7733,0.7734000000000001,0.7735000000000001,0.7736000000000001,0.7737,0.7738,0.7739,0.774,0.7741,0.7742,0.7743,0.7744,0.7745,0.7746,0.7746999999999999,0.7747999999999999,0.7749,0.775,0.7751,0.7752,0.7753,0.7754000000000001,0.7755000000000001,0.7756000000000001,0.7757000000000001,0.7758,0.7759,0.776,0.7761,0.7762,0.7763,0.7764,0.7765,0.7766,0.7767,0.7767999999999999,0.7769,0.777,0.7771,0.7772,0.7773,0.7774000000000001,0.7775000000000001,0.7776000000000001,0.7777000000000001,0.7778,0.7779,0.778,0.7781,0.7782,0.7783,0.7784,0.7785,0.7786,0.7787,0.7787999999999999,0.7789,0.779,0.7791,0.7792,0.7793,0.7794000000000001,0.7795000000000001,0.7796000000000001,0.7797000000000001,0.7798,0.7799,0.78,0.7801,0.7802,0.7803,0.7804,0.7805,0.7806,0.7807,0.7807999999999999,0.7809,0.781,0.7811,0.7812,0.7813,0.7814000000000001,0.7815000000000001,0.7816000000000001,0.7817000000000001,0.7818,0.7819,0.782,0.7821,0.7822,0.7823,0.7824,0.7825,0.7826,0.7827,0.7827999999999999,0.7829,0.783,0.7831,0.7832,0.7833,0.7834000000000001,0.7835000000000001,0.7836000000000001,0.7837000000000001,0.7838,0.7839,0.784,0.7841,0.7842,0.7843,0.7844,0.7845,0.7846,0.7847,0.7847999999999999,0.7848999999999999,0.785,0.7851,0.7852,0.7853,0.7854,0.7855000000000001,0.7856000000000001,0.7857000000000001,0.7858,0.7859,0.786,0.7861,0.7862,0.7863,0.7864,0.7865,0.7866,0.7867,0.7867999999999999,0.7868999999999999,0.787,0.7871,0.7872,0.7873,0.7874,0.7875000000000001,0.7876000000000001,0.7877000000000001,0.7878000000000001,0.7879,0.788,0.7881,0.7882,0.7883,0.7884,0.7885,0.7886,0.7887,0.7888,0.7888999999999999,0.789,0.7891,0.7892,0.7893,0.7894,0.7895000000000001,0.7896000000000001,0.7897000000000001,0.7898000000000001,0.7899,0.79,0.7901,0.7902,0.7903,0.7904,0.7905,0.7906,0.7907,0.7908,0.7908999999999999,0.791,0.7911,0.7912,0.7913,0.7914,0.7915000000000001,0.7916000000000001,0.7917000000000001,0.7918000000000001,0.7919,0.792,0.7921,0.7922,0.7923,0.7924,0.7925,0.7926,0.7927,0.7928,0.7928999999999999,0.793,0.7931,0.7932,0.7933,0.7934,0.7935000000000001,0.7936000000000001,0.7937000000000001,0.7938000000000001,0.7939,0.794,0.7941,0.7942,0.7943,0.7944,0.7945,0.7946,0.7947,0.7948,0.7948999999999999,0.795,0.7951,0.7952,0.7953,0.7954,0.7955000000000001,0.7956000000000001,0.7957000000000001,0.7958000000000001,0.7959,0.796,0.7961,0.7962,0.7963,0.7964,0.7965,0.7966,0.7967,0.7968,0.7968999999999999,0.797,0.7971,0.7972,0.7973,0.7974,0.7975,0.7976000000000001,0.7977000000000001,0.7978000000000001,0.7979,0.798,0.7981,0.7982,0.7983,0.7984,0.7985,0.7986,0.7987,0.7988,0.7988999999999999,0.7989999999999999,0.7991,0.7992,0.7993,0.7994,0.7995,0.7996000000000001,0.7997000000000001,0.7998000000000001,0.7999,0.8,0.8001,0.8002,0.8003,0.8004,0.8005,0.8006,0.8007,0.8008,0.8009,0.8009999999999999,0.8011,0.8012,0.8013,0.8014,0.8015,0.8016000000000001,0.8017000000000001,0.8018000000000001,0.8019000000000001,0.802,0.8021,0.8022,0.8023,0.8024,0.8025,0.8026,0.8027,0.8028,0.8029,0.8029999999999999,0.8031,0.8032,0.8033,0.8034,0.8035,0.8036000000000001,0.8037000000000001,0.8038000000000001,0.8039000000000001,0.804,0.8041,0.8042,0.8043,0.8044,0.8045,0.8046,0.8047,0.8048,0.8049,0.8049999999999999,0.8051,0.8052,0.8053,0.8054,0.8055,0.8056000000000001,0.8057000000000001,0.8058000000000001,0.8059000000000001,0.806,0.8061,0.8062,0.8063,0.8064,0.8065,0.8066,0.8067,0.8068,0.8069,0.8069999999999999,0.8071,0.8072,0.8073,0.8074,0.8075,0.8076000000000001,0.8077000000000001,0.8078000000000001,0.8079000000000001,0.808,0.8081,0.8082,0.8083,0.8084,0.8085,0.8086,0.8087,0.8088,0.8089,0.8089999999999999,0.8091,0.8092,0.8093,0.8094,0.8095,0.8096000000000001,0.8097000000000001,0.8098000000000001,0.8099000000000001,0.81,0.8101,0.8102,0.8103,0.8104,0.8105,0.8106,0.8107,0.8108,0.8109,0.8109999999999999,0.8110999999999999,0.8112,0.8113,0.8114,0.8115,0.8116,0.8117000000000001,0.8118000000000001,0.8119000000000001,0.812,0.8121,0.8122,0.8123,0.8124,0.8125,0.8126,0.8127,0.8128,0.8129,0.813,0.8130999999999999,0.8132,0.8133,0.8134,0.8135,0.8136,0.8137000000000001,0.8138000000000001,0.8139000000000001,0.8140000000000001,0.8141,0.8142,0.8143,0.8144,0.8145,0.8146,0.8147,0.8148,0.8149,0.815,0.8150999999999999,0.8152,0.8153,0.8154,0.8155,0.8156,0.8157000000000001,0.8158000000000001,0.8159000000000001,0.8160000000000001,0.8161,0.8162,0.8163,0.8164,0.8165,0.8166,0.8167,0.8168,0.8169,0.817,0.8170999999999999,0.8172,0.8173,0.8174,0.8175,0.8176,0.8177000000000001,0.8178000000000001,0.8179000000000001,0.8180000000000001,0.8181,0.8182,0.8183,0.8184,0.8185,0.8186,0.8187,0.8188,0.8189,0.819,0.8190999999999999,0.8192,0.8193,0.8194,0.8195,0.8196,0.8197000000000001,0.8198000000000001,0.8199000000000001,0.8200000000000001,0.8201,0.8202,0.8203,0.8204,0.8205,0.8206,0.8207,0.8208,0.8209,0.821,0.8210999999999999,0.8212,0.8213,0.8214,0.8215,0.8216,0.8217000000000001,0.8218000000000001,0.8219000000000001,0.8220000000000001,0.8221,0.8222,0.8223,0.8224,0.8225,0.8226,0.8227,0.8228,0.8229,0.823,0.8230999999999999,0.8232,0.8233,0.8234,0.8235,0.8236,0.8237000000000001,0.8238000000000001,0.8239000000000001,0.8240000000000001,0.8241,0.8242,0.8243,0.8244,0.8245,0.8246,0.8247,0.8248,0.8249,0.825,0.8251,0.8251999999999999,0.8253,0.8254,0.8255,0.8256,0.8257,0.8258000000000001,0.8259000000000001,0.8260000000000001,0.8261000000000001,0.8262,0.8263,0.8264,0.8265,0.8266,0.8267,0.8268,0.8269,0.827,0.8271,0.8271999999999999,0.8273,0.8274,0.8275,0.8276,0.8277,0.8278000000000001,0.8279000000000001,0.8280000000000001,0.8281000000000001,0.8282,0.8283,0.8284,0.8285,0.8286,0.8287,0.8288,0.8289,0.829,0.8291,0.8291999999999999,0.8293,0.8294,0.8295,0.8296,0.8297,0.8298000000000001,0.8299000000000001,0.8300000000000001,0.8301000000000001,0.8302,0.8303,0.8304,0.8305,0.8306,0.8307,0.8308,0.8309,0.831,0.8311,0.8311999999999999,0.8313,0.8314,0.8315,0.8316,0.8317,0.8318000000000001,0.8319000000000001,0.8320000000000001,0.8321000000000001,0.8322,0.8323,0.8324,0.8325,0.8326,0.8327,0.8328,0.8329,0.833,0.8331,0.8331999999999999,0.8333,0.8334,0.8335,0.8336,0.8337,0.8338000000000001,0.8339000000000001,0.8340000000000001,0.8341000000000001,0.8342,0.8343,0.8344,0.8345,0.8346,0.8347,0.8348,0.8349,0.835,0.8351,0.8351999999999999,0.8353,0.8354,0.8355,0.8356,0.8357,0.8358000000000001,0.8359000000000001,0.8360000000000001,0.8361000000000001,0.8362,0.8363,0.8364,0.8365,0.8366,0.8367,0.8368,0.8369,0.837,0.8371,0.8371999999999999,0.8372999999999999,0.8374,0.8375,0.8376,0.8377,0.8378,0.8379000000000001,0.8380000000000001,0.8381000000000001,0.8382000000000001,0.8383,0.8384,0.8385,0.8386,0.8387,0.8388,0.8389,0.839,0.8391,0.8392,0.8392999999999999,0.8394,0.8395,0.8396,0.8397,0.8398,0.8399000000000001,0.8400000000000001,0.8401000000000001,0.8402000000000001,0.8403,0.8404,0.8405,0.8406,0.8407,0.8408,0.8409,0.841,0.8411,0.8412,0.8412999999999999,0.8414,0.8415,0.8416,0.8417,0.8418,0.8419000000000001,0.8420000000000001,0.8421000000000001,0.8422000000000001,0.8423,0.8424,0.8425,0.8426,0.8427,0.8428,0.8429,0.843,0.8431,0.8432,0.8432999999999999,0.8434,0.8435,0.8436,0.8437,0.8438,0.8439000000000001,0.8440000000000001,0.8441000000000001,0.8442000000000001,0.8443,0.8444,0.8445,0.8446,0.8447,0.8448,0.8449,0.845,0.8451,0.8452,0.8452999999999999,0.8454,0.8455,0.8456,0.8457,0.8458,0.8459000000000001,0.8460000000000001,0.8461000000000001,0.8462000000000001,0.8463,0.8464,0.8465,0.8466,0.8467,0.8468,0.8469,0.847,0.8471,0.8472,0.8472999999999999,0.8474,0.8475,0.8476,0.8477,0.8478,0.8479000000000001,0.8480000000000001,0.8481000000000001,0.8482000000000001,0.8483,0.8484,0.8485,0.8486,0.8487,0.8488,0.8489,0.849,0.8491,0.8492,0.8492999999999999,0.8494,0.8495,0.8496,0.8497,0.8498,0.8499000000000001,0.8500000000000001,0.8501000000000001,0.8502000000000001,0.8503000000000001,0.8504,0.8505,0.8506,0.8507,0.8508,0.8509,0.851,0.8511,0.8512,0.8513,0.8513999999999999,0.8515,0.8516,0.8517,0.8518,0.8519,0.8520000000000001,0.8521000000000001,0.8522000000000001,0.8523000000000001,0.8524,0.8525,0.8526,0.8527,0.8528,0.8529,0.853,0.8531,0.8532,0.8533,0.8533999999999999,0.8535,0.8536,0.8537,0.8538,0.8539,0.8540000000000001,0.8541000000000001,0.8542000000000001,0.8543000000000001,0.8544,0.8545,0.8546,0.8547,0.8548,0.8549,0.855,0.8551,0.8552,0.8553,0.8553999999999999,0.8555,0.8556,0.8557,0.8558,0.8559,0.8560000000000001,0.8561000000000001,0.8562000000000001,0.8563000000000001,0.8564,0.8565,0.8566,0.8567,0.8568,0.8569,0.857,0.8571,0.8572,0.8573,0.8573999999999999,0.8575,0.8576,0.8577,0.8578,0.8579,0.8580000000000001,0.8581000000000001,0.8582000000000001,0.8583000000000001,0.8584,0.8585,0.8586,0.8587,0.8588,0.8589,0.859,0.8591,0.8592,0.8593,0.8593999999999999,0.8595,0.8596,0.8597,0.8598,0.8599,0.8600000000000001,0.8601000000000001,0.8602000000000001,0.8603000000000001,0.8604,0.8605,0.8606,0.8607,0.8608,0.8609,0.861,0.8611,0.8612,0.8613,0.8613999999999999,0.8615,0.8616,0.8617,0.8618,0.8619,0.8620000000000001,0.8621000000000001,0.8622000000000001,0.8623000000000001,0.8624,0.8625,0.8626,0.8627,0.8628,0.8629,0.863,0.8631,0.8632,0.8633,0.8634,0.8634999999999999,0.8636,0.8637,0.8638,0.8639,0.864,0.8641000000000001,0.8642000000000001,0.8643000000000001,0.8644000000000001,0.8645,0.8646,0.8647,0.8648,0.8649,0.865,0.8651,0.8652,0.8653,0.8654,0.8654999999999999,0.8656,0.8657,0.8658,0.8659,0.866,0.8661000000000001,0.8662000000000001,0.8663000000000001,0.8664000000000001,0.8665,0.8666,0.8667,0.8668,0.8669,0.867,0.8671,0.8672,0.8673,0.8674,0.8674999999999999,0.8676,0.8677,0.8678,0.8679,0.868,0.8681000000000001,0.8682000000000001,0.8683000000000001,0.8684000000000001,0.8685,0.8686,0.8687,0.8688,0.8689,0.869,0.8691,0.8692,0.8693,0.8694,0.8694999999999999,0.8696,0.8697,0.8698,0.8699,0.87,0.8701000000000001,0.8702000000000001,0.8703000000000001,0.8704000000000001,0.8705,0.8706,0.8707,0.8708,0.8709,0.871,0.8711,0.8712,0.8713,0.8714,0.8714999999999999,0.8716,0.8717,0.8718,0.8719,0.872,0.8721000000000001,0.8722000000000001,0.8723000000000001,0.8724000000000001,0.8725,0.8726,0.8727,0.8728,0.8729,0.873,0.8731,0.8732,0.8733,0.8734,0.8734999999999999,0.8736,0.8737,0.8738,0.8739,0.874,0.8741000000000001,0.8742000000000001,0.8743000000000001,0.8744000000000001,0.8745,0.8746,0.8747,0.8748,0.8749,0.875,0.8751,0.8752,0.8753,0.8754,0.8755,0.8756,0.8757,0.8758,0.8759,0.876,0.8761000000000001,0.8762000000000001,0.8763000000000001,0.8764000000000001,0.8765000000000001,0.8766,0.8767,0.8768,0.8769,0.877,0.8771,0.8772,0.8773,0.8774,0.8775,0.8775999999999999,0.8777,0.8778,0.8779,0.878,0.8781,0.8782000000000001,0.8783000000000001,0.8784000000000001,0.8785000000000001,0.8786,0.8787,0.8788,0.8789,0.879,0.8791,0.8792,0.8793,0.8794,0.8795,0.8795999999999999,0.8797,0.8798,0.8799,0.88,0.8801,0.8802000000000001,0.8803000000000001,0.8804000000000001,0.8805000000000001,0.8806,0.8807,0.8808,0.8809,0.881,0.8811,0.8812,0.8813,0.8814,0.8815,0.8815999999999999,0.8817,0.8818,0.8819,0.882,0.8821,0.8822000000000001,0.8823000000000001,0.8824000000000001,0.8825000000000001,0.8826,0.8827,0.8828,0.8829,0.883,0.8831,0.8832,0.8833,0.8834,0.8835,0.8835999999999999,0.8837,0.8838,0.8839,0.884,0.8841,0.8842000000000001,0.8843000000000001,0.8844000000000001,0.8845000000000001,0.8846,0.8847,0.8848,0.8849,0.885,0.8851,0.8852,0.8853,0.8854,0.8855,0.8855999999999999,0.8857,0.8858,0.8859,0.886,0.8861,0.8862000000000001,0.8863000000000001,0.8864000000000001,0.8865000000000001,0.8866,0.8867,0.8868,0.8869,0.887,0.8871,0.8872,0.8873,0.8874,0.8875,0.8876,0.8877,0.8878,0.8879,0.888,0.8881,0.8882000000000001,0.8883000000000001,0.8884000000000001,0.8885000000000001,0.8886000000000001,0.8887,0.8888,0.8889,0.889,0.8891,0.8892,0.8893,0.8894,0.8895,0.8896,0.8897,0.8898,0.8899,0.89,0.8901,0.8902,0.8903000000000001,0.8904000000000001,0.8905000000000001,0.8906000000000001,0.8907,0.8908,0.8909,0.891,0.8911,0.8912,0.8913,0.8914,0.8915,0.8916,0.8916999999999999,0.8918,0.8919,0.892,0.8921,0.8922,0.8923000000000001,0.8924000000000001,0.8925000000000001,0.8926000000000001,0.8927,0.8928,0.8929,0.893,0.8931,0.8932,0.8933,0.8934,0.8935,0.8936,0.8936999999999999,0.8938,0.8939,0.894,0.8941,0.8942,0.8943000000000001,0.8944000000000001,0.8945000000000001,0.8946000000000001,0.8947,0.8948,0.8949,0.895,0.8951,0.8952,0.8953,0.8954,0.8955,0.8956,0.8956999999999999,0.8958,0.8959,0.896,0.8961,0.8962,0.8963000000000001,0.8964000000000001,0.8965000000000001,0.8966000000000001,0.8967,0.8968,0.8969,0.897,0.8971,0.8972,0.8973,0.8974,0.8975,0.8976,0.8976999999999999,0.8978,0.8979,0.898,0.8981,0.8982,0.8983000000000001,0.8984000000000001,0.8985000000000001,0.8986000000000001,0.8987,0.8988,0.8989,0.899,0.8991,0.8992,0.8993,0.8994,0.8995,0.8996,0.8996999999999999,0.8998,0.8999,0.9,0.9001,0.9002,0.9003000000000001,0.9004000000000001,0.9005000000000001,0.9006000000000001,0.9007000000000001,0.9008,0.9009,0.901,0.9011,0.9012,0.9013,0.9014,0.9015,0.9016,0.9017,0.9018,0.9019,0.902,0.9021,0.9022,0.9023000000000001,0.9024000000000001,0.9025000000000001,0.9026000000000001,0.9027000000000001,0.9028,0.9029,0.903,0.9031,0.9032,0.9033,0.9034,0.9035,0.9036,0.9037,0.9037999999999999,0.9039,0.904,0.9041,0.9042,0.9043,0.9044000000000001,0.9045000000000001,0.9046000000000001,0.9047000000000001,0.9048,0.9049,0.905,0.9051,0.9052,0.9053,0.9054,0.9055,0.9056,0.9057,0.9057999999999999,0.9059,0.906,0.9061,0.9062,0.9063,0.9064000000000001,0.9065000000000001,0.9066000000000001,0.9067000000000001,0.9068,0.9069,0.907,0.9071,0.9072,0.9073,0.9074,0.9075,0.9076,0.9077,0.9077999999999999,0.9079,0.908,0.9081,0.9082,0.9083,0.9084000000000001,0.9085000000000001,0.9086000000000001,0.9087000000000001,0.9088,0.9089,0.909,0.9091,0.9092,0.9093,0.9094,0.9095,0.9096,0.9097,0.9097999999999999,0.9099,0.91,0.9101,0.9102,0.9103,0.9104000000000001,0.9105000000000001,0.9106000000000001,0.9107000000000001,0.9108,0.9109,0.911,0.9111,0.9112,0.9113,0.9114,0.9115,0.9116,0.9117,0.9117999999999999,0.9119,0.912,0.9121,0.9122,0.9123,0.9124000000000001,0.9125000000000001,0.9126000000000001,0.9127000000000001,0.9128000000000001,0.9129,0.913,0.9131,0.9132,0.9133,0.9134,0.9135,0.9136,0.9137,0.9138,0.9139,0.914,0.9141,0.9142,0.9143,0.9144000000000001,0.9145000000000001,0.9146000000000001,0.9147000000000001,0.9148000000000001,0.9149,0.915,0.9151,0.9152,0.9153,0.9154,0.9155,0.9156,0.9157,0.9158,0.9159,0.916,0.9161,0.9162,0.9163,0.9164,0.9165000000000001,0.9166000000000001,0.9167000000000001,0.9168000000000001,0.9169,0.917,0.9171,0.9172,0.9173,0.9174,0.9175,0.9176,0.9177,0.9178,0.9178999999999999,0.918,0.9181,0.9182,0.9183,0.9184,0.9185000000000001,0.9186000000000001,0.9187000000000001,0.9188000000000001,0.9189,0.919,0.9191,0.9192,0.9193,0.9194,0.9195,0.9196,0.9197,0.9198,0.9198999999999999,0.92,0.9201,0.9202,0.9203,0.9204,0.9205000000000001,0.9206000000000001,0.9207000000000001,0.9208000000000001,0.9209,0.921,0.9211,0.9212,0.9213,0.9214,0.9215,0.9216,0.9217,0.9218,0.9218999999999999,0.922,0.9221,0.9222,0.9223,0.9224,0.9225000000000001,0.9226000000000001,0.9227000000000001,0.9228000000000001,0.9229,0.923,0.9231,0.9232,0.9233,0.9234,0.9235,0.9236,0.9237,0.9238,0.9238999999999999,0.924,0.9241,0.9242,0.9243,0.9244,0.9245000000000001,0.9246000000000001,0.9247000000000001,0.9248000000000001,0.9249,0.925,0.9251,0.9252,0.9253,0.9254,0.9255,0.9256,0.9257,0.9258,0.9259,0.926,0.9261,0.9262,0.9263,0.9264,0.9265000000000001,0.9266000000000001,0.9267000000000001,0.9268000000000001,0.9269000000000001,0.927,0.9271,0.9272,0.9273,0.9274,0.9275,0.9276,0.9277,0.9278,0.9279,0.928,0.9281,0.9282,0.9283,0.9284,0.9285000000000001,0.9286000000000001,0.9287000000000001,0.9288000000000001,0.9289000000000001,0.929,0.9291,0.9292,0.9293,0.9294,0.9295,0.9296,0.9297,0.9298,0.9299,0.9299999999999999,0.9301,0.9302,0.9303,0.9304,0.9305,0.9306000000000001,0.9307000000000001,0.9308000000000001,0.9309000000000001,0.931,0.9311,0.9312,0.9313,0.9314,0.9315,0.9316,0.9317,0.9318,0.9319,0.9319999999999999,0.9321,0.9322,0.9323,0.9324,0.9325,0.9326000000000001,0.9327000000000001,0.9328000000000001,0.9329000000000001,0.933,0.9331,0.9332,0.9333,0.9334,0.9335,0.9336,0.9337,0.9338,0.9339,0.9339999999999999,0.9341,0.9342,0.9343,0.9344,0.9345,0.9346000000000001,0.9347000000000001,0.9348000000000001,0.9349000000000001,0.935,0.9351,0.9352,0.9353,0.9354,0.9355,0.9356,0.9357,0.9358,0.9359,0.9359999999999999,0.9361,0.9362,0.9363,0.9364,0.9365,0.9366000000000001,0.9367000000000001,0.9368000000000001,0.9369000000000001,0.937,0.9371,0.9372,0.9373,0.9374,0.9375,0.9376,0.9377,0.9378,0.9379,0.938,0.9381,0.9382,0.9383,0.9384,0.9385,0.9386000000000001,0.9387000000000001,0.9388000000000001,0.9389000000000001,0.9390000000000001,0.9391,0.9392,0.9393,0.9394,0.9395,0.9396,0.9397,0.9398,0.9399,0.94,0.9401,0.9402,0.9403,0.9404,0.9405,0.9406000000000001,0.9407000000000001,0.9408000000000001,0.9409000000000001,0.9410000000000001,0.9411,0.9412,0.9413,0.9414,0.9415,0.9416,0.9417,0.9418,0.9419,0.942,0.9421,0.9422,0.9423,0.9424,0.9425,0.9426000000000001,0.9427000000000001,0.9428000000000001,0.9429000000000001,0.9430000000000001,0.9431,0.9432,0.9433,0.9434,0.9435,0.9436,0.9437,0.9438,0.9439,0.944,0.9440999999999999,0.9442,0.9443,0.9444,0.9445,0.9446,0.9447000000000001,0.9448000000000001,0.9449000000000001,0.9450000000000001,0.9451,0.9452,0.9453,0.9454,0.9455,0.9456,0.9457,0.9458,0.9459,0.946,0.9460999999999999,0.9462,0.9463,0.9464,0.9465,0.9466,0.9467000000000001,0.9468000000000001,0.9469000000000001,0.9470000000000001,0.9471,0.9472,0.9473,0.9474,0.9475,0.9476,0.9477,0.9478,0.9479,0.948,0.9480999999999999,0.9482,0.9483,0.9484,0.9485,0.9486,0.9487000000000001,0.9488000000000001,0.9489000000000001,0.9490000000000001,0.9491,0.9492,0.9493,0.9494,0.9495,0.9496,0.9497,0.9498,0.9499,0.95,0.9501,0.9502,0.9503,0.9504,0.9505,0.9506,0.9507000000000001,0.9508000000000001,0.9509000000000001,0.9510000000000001,0.9511000000000001,0.9512,0.9513,0.9514,0.9515,0.9516,0.9517,0.9518,0.9519,0.952,0.9521,0.9522,0.9523,0.9524,0.9525,0.9526,0.9527000000000001,0.9528000000000001,0.9529000000000001,0.9530000000000001,0.9531000000000001,0.9532,0.9533,0.9534,0.9535,0.9536,0.9537,0.9538,0.9539,0.954,0.9541,0.9542,0.9543,0.9544,0.9545,0.9546,0.9547000000000001,0.9548000000000001,0.9549000000000001,0.9550000000000001,0.9551000000000001,0.9552,0.9553,0.9554,0.9555,0.9556,0.9557,0.9558,0.9559,0.956,0.9561,0.9561999999999999,0.9563,0.9564,0.9565,0.9566,0.9567,0.9568000000000001,0.9569000000000001,0.9570000000000001,0.9571000000000001,0.9572,0.9573,0.9574,0.9575,0.9576,0.9577,0.9578,0.9579,0.958,0.9581,0.9581999999999999,0.9583,0.9584,0.9585,0.9586,0.9587,0.9588000000000001,0.9589000000000001,0.9590000000000001,0.9591000000000001,0.9592,0.9593,0.9594,0.9595,0.9596,0.9597,0.9598,0.9599,0.96,0.9601,0.9601999999999999,0.9603,0.9604,0.9605,0.9606,0.9607,0.9608000000000001,0.9609000000000001,0.9610000000000001,0.9611000000000001,0.9612,0.9613,0.9614,0.9615,0.9616,0.9617,0.9618,0.9619,0.962,0.9621,0.9621999999999999,0.9623,0.9624,0.9625,0.9626,0.9627,0.9628000000000001,0.9629000000000001,0.9630000000000001,0.9631000000000001,0.9632000000000001,0.9633,0.9634,0.9635,0.9636,0.9637,0.9638,0.9639,0.964,0.9641,0.9642,0.9643,0.9644,0.9645,0.9646,0.9647,0.9648000000000001,0.9649000000000001,0.9650000000000001,0.9651000000000001,0.9652000000000001,0.9653,0.9654,0.9655,0.9656,0.9657,0.9658,0.9659,0.966,0.9661,0.9662,0.9663,0.9664,0.9665,0.9666,0.9667,0.9668000000000001,0.9669000000000001,0.9670000000000001,0.9671000000000001,0.9672000000000001,0.9673,0.9674,0.9675,0.9676,0.9677,0.9678,0.9679,0.968,0.9681,0.9682,0.9683,0.9684,0.9685,0.9686,0.9687,0.9688000000000001,0.9689000000000001,0.9690000000000001,0.9691000000000001,0.9692000000000001,0.9693,0.9694,0.9695,0.9696,0.9697,0.9698,0.9699,0.97,0.9701,0.9702,0.9702999999999999,0.9704,0.9705,0.9706,0.9707,0.9708,0.9709000000000001,0.9710000000000001,0.9711000000000001,0.9712000000000001,0.9713,0.9714,0.9715,0.9716,0.9717,0.9718,0.9719,0.972,0.9721,0.9722,0.9722999999999999,0.9724,0.9725,0.9726,0.9727,0.9728,0.9729000000000001,0.9730000000000001,0.9731000000000001,0.9732000000000001,0.9733,0.9734,0.9735,0.9736,0.9737,0.9738,0.9739,0.974,0.9741,0.9742,0.9742999999999999,0.9744,0.9745,0.9746,0.9747,0.9748,0.9749000000000001,0.9750000000000001,0.9751000000000001,0.9752000000000001,0.9753000000000001,0.9754,0.9755,0.9756,0.9757,0.9758,0.9759,0.976,0.9761,0.9762,0.9763,0.9764,0.9765,0.9766,0.9767,0.9768,0.9769000000000001,0.9770000000000001,0.9771000000000001,0.9772000000000001,0.9773000000000001,0.9774,0.9775,0.9776,0.9777,0.9778,0.9779,0.978,0.9781,0.9782,0.9783,0.9784,0.9785,0.9786,0.9787,0.9788,0.9789000000000001,0.9790000000000001,0.9791000000000001,0.9792000000000001,0.9793000000000001,0.9794,0.9795,0.9796,0.9797,0.9798,0.9799,0.98,0.9801,0.9802,0.9803,0.9804,0.9805,0.9806,0.9807,0.9808,0.9809000000000001,0.9810000000000001,0.9811000000000001,0.9812000000000001,0.9813000000000001,0.9814,0.9815,0.9816,0.9817,0.9818,0.9819,0.982,0.9821,0.9822,0.9823,0.9823999999999999,0.9825,0.9826,0.9827,0.9828,0.9829,0.9830000000000001,0.9831000000000001,0.9832000000000001,0.9833000000000001,0.9834,0.9835,0.9836,0.9837,0.9838,0.9839,0.984,0.9841,0.9842,0.9843,0.9843999999999999,0.9845,0.9846,0.9847,0.9848,0.9849,0.9850000000000001,0.9851000000000001,0.9852000000000001,0.9853000000000001,0.9854,0.9855,0.9856,0.9857,0.9858,0.9859,0.986,0.9861,0.9862,0.9863,0.9863999999999999,0.9865,0.9866,0.9867,0.9868,0.9869,0.9870000000000001,0.9871000000000001,0.9872000000000001,0.9873000000000001,0.9874,0.9875,0.9876,0.9877,0.9878,0.9879,0.988,0.9881,0.9882,0.9883,0.9884,0.9885,0.9886,0.9887,0.9888,0.9889,0.9890000000000001,0.9891000000000001,0.9892000000000001,0.9893000000000001,0.9894000000000001,0.9895,0.9896,0.9897,0.9898,0.9899,0.99,0.9901,0.9902,0.9903,0.9904,0.9905,0.9906,0.9907,0.9908,0.9909,0.9910000000000001,0.9911000000000001,0.9912000000000001,0.9913000000000001,0.9914000000000001,0.9915,0.9916,0.9917,0.9918,0.9919,0.992,0.9921,0.9922,0.9923,0.9924,0.9925,0.9926,0.9927,0.9928,0.9929,0.9930000000000001,0.9931000000000001,0.9932000000000001,0.9933000000000001,0.9934000000000001,0.9935,0.9936,0.9937,0.9938,0.9939,0.994,0.9941,0.9942,0.9943,0.9944,0.9945,0.9946,0.9947,0.9948,0.9949,0.9950000000000001,0.9951000000000001,0.9952000000000001,0.9953000000000001,0.9954000000000001,0.9955,0.9956,0.9957,0.9958,0.9959,0.996,0.9961,0.9962,0.9963,0.9964,0.9964999999999999,0.9966,0.9967,0.9968,0.9969,0.997,0.9971000000000001,0.9972000000000001,0.9973000000000001,0.9974000000000001,0.9975,0.9976,0.9977,0.9978,0.9979,0.998,0.9981,0.9982,0.9983,0.9984,0.9984999999999999,0.9986,0.9987,0.9988,0.9989,0.999,0.9991000000000001,0.9992000000000001,0.9993000000000001,0.9994000000000001,0.9995,0.9996,0.9997,0.9998,0.9999,1.0],\\\"y\\\":[0.9444145846346599,0.9444095768238965,0.9444179354345199,0.9444272209124384,0.9444364174255542,0.9444440521518456,0.9444443057311536,0.9443381989490124,0.9442204264913188,0.9442300356801601,0.9442395440383426,0.9442475071644714,0.9442357072371073,0.9441967155065005,0.9442055835898331,0.9442160862960625,0.9442265890022921,0.9442369851841199,0.9442436764376241,0.9442289698113369,0.9441933447225146,0.944195614173001,0.9442048667012595,0.9442141192295178,0.9442214165478895,0.9442209082566753,0.9442141653887575,0.9442118328894271,0.9441831174366013,0.9441935914807409,0.9442040655248806,0.9442145395690204,0.9442250098559803,0.9442256600879453,0.9442005292717965,0.9441647101512416,0.9441720626680921,0.9441825228315597,0.9441929829950273,0.9442034431584947,0.9442139008788273,0.9442237850839055,0.9442265702334692,0.9442080856934609,0.9442002648589815,0.9442075458467278,0.9442179842444887,0.9442284226422494,0.9442362329183355,0.9442306079186696,0.9442270162008966,0.9442226252155379,0.9442172928731933,0.9442252084510747,0.9442356308467604,0.9442388633295387,0.9440434945104837,0.9439442645000788,0.9439415464289305,0.9439466642405975,0.9439571228162434,0.9439662596281375,0.9439700422069679,0.9439576812655257,0.943958011704574,0.9439561966629562,0.9439444692235217,0.9439380363456437,0.9439484757970071,0.9439500821010023,0.9439372399543462,0.9439332959609747,0.9439437296645979,0.9439541588095517,0.9439639440998945,0.9439667397582929,0.9439503113121919,0.9439432329622661,0.9439533496091986,0.9439632010290786,0.9439691762116783,0.9439628010483105,0.943955818820762,0.9439625918689518,0.9439455292671419,0.9439441820548485,0.9439295212061087,0.9439366249488266,0.9439468104562644,0.943947185689542,0.9439422223695175,0.943943325724673,0.9439493539471108,0.9439597417437189,0.9439701295403271,0.9439805169300223,0.9439908945071046,0.9440001417328316,0.9440016542067691,0.9440040395901523,0.9440015456508293,0.9440038230611216,0.9439892082849315,0.9439839093556741,0.9439938432644785,0.944003777173283,0.9440137110820875,0.944023644990892,0.9440335788996965,0.9440347475462725,0.9440215006093948,0.9440039780766085,0.9439758189053606,0.9439554155834483,0.9439510210156248,0.9439590585667341,0.9439685324045994,0.9439780062424648,0.9439822440225978,0.9439650323924524,0.9439452073078914,0.9439528560801564,0.9439631752158404,0.9439734943515246,0.9439838134872086,0.9439941326228927,0.9440044517585768,0.9440147708942609,0.944025090029945,0.9440354009342409,0.9440456999612652,0.9440531221490167,0.9440464027610128,0.9440141955693768,0.9440109668583015,0.9440210269926099,0.9440310871269183,0.9440411472612267,0.9440512073955349,0.9440609853109673,0.9440635877621568,0.9440520844835827,0.9440233208677823,0.9440210277589438,0.9440312552872298,0.9440415229626555,0.9440517906380814,0.9440620576171947,0.9440722812061128,0.9440814079630491,0.9440814268077572,0.9440607882828163,0.9440544330437474,0.9440435869476553,0.9440450998449048,0.9440551200788122,0.9440651403127194,0.9440752647637416,0.9440748340958857,0.9440701341677857,0.9440697373811489,0.9440761587900469,0.9440817237529826,0.9440573248261921,0.9440348264231139,0.9440325353238623,0.9440260145077879,0.944030937527648,0.9440411577393784,0.9440513779511088,0.9440615981628392,0.9440718183745695,0.9440762809451031,0.9440781557531024,0.9440641838477826,0.9440605468538968,0.9440535102787486,0.9440529005306783,0.9440630982089024,0.9440732958871267,0.944083493565351,0.9440936858929281,0.9441025594795034,0.9441037129923177,0.9440864518891354,0.944061761661023,0.944064170766876,0.9440743413244728,0.9440845118820698,0.9440946824396665,0.9441048529972635,0.9441150235548604,0.9441191681467127,0.944110275575839,0.9441104019805444,0.9441205580768604,0.9441307049811063,0.944135590419495,0.944121678017288,0.9441097787869354,0.9441157397654784,0.9441258846441095,0.9441360295227406,0.9441461744013719,0.9441563192800031,0.9441645875401274,0.9441535146913332,0.9441282547850455,0.944115325720089,0.9441182426769366,0.9441283635409705,0.9441384844050044,0.9441486052690382,0.9441587261330722,0.9441680232558062,0.9441581621107737,0.9441174166517419,0.9440761618490722,0.9440646935879393,0.9440745474592658,0.944084401330592,0.9440942552019185,0.9441041090732449,0.9441139629445713,0.9441190464119406,0.9441045062541813,0.944083397447379,0.944052544362869,0.9440425529900527,0.9440526522229431,0.9440627514558335,0.9440728506503424,0.944082838826643,0.9440784615097532,0.9440607633325402,0.944026434966478,0.9440163948392983,0.9440262711422187,0.9440363509151326,0.9440464306880464,0.9440565104609603,0.9440665902338742,0.9440766700067881,0.9440865059373017,0.9440900792738155,0.9440838837068917,0.9440847095280434,0.9440884609864395,0.9440855794612306,0.9440704374863351,0.9440644059459596,0.9440694700932614,0.9440670657376344,0.9440691830469802,0.94407923102308,0.9440892789991798,0.9440993247269032,0.944108440532009,0.9441132921677795,0.944107394273471,0.9441021243964487,0.9441033929606617,0.9440989364089157,0.9440881561751387,0.944093994640959,0.9441040174121854,0.9441140401834118,0.9441238725679086,0.9441306644357672,0.9441270195323657,0.9441220064565271,0.9441271362899947,0.9441253898180885,0.9441225771837821,0.9441270804219188,0.9441346680888236,0.9441338227623961,0.9441251798639847,0.944121494761747,0.9441255905212778,0.944118264623564,0.9441142865182364,0.9441242707864709,0.9441342550547054,0.94414423932294,0.9441542182893892,0.9441622073795142,0.9441709378544796,0.9441787408179771,0.9441759176859452,0.9441646955500991,0.9441555923927988,0.9441476170159844,0.9441442195292513,0.9441541743486724,0.9441641291680937,0.9441740839875149,0.944184038806936,0.9441939936263573,0.9442039460979726,0.944206594455244,0.9441970905830703,0.9441793194691449,0.9441629422543754,0.9441603268280834,0.9441656720170674,0.944173680202452,0.9441816883878367,0.9441896965732213,0.9441977047586059,0.9441950680219359,0.9441801507049601,0.944151710360863,0.9441329532196816,0.9441048320991191,0.9441107583713175,0.9441206807975036,0.9441306032236898,0.9441404871971468,0.9441495308893475,0.9441454598956749,0.9441372124897862,0.9441294744607889,0.9441023046818053,0.9440830090489163,0.9440790306232536,0.9440763735936547,0.9440805182559495,0.944090424087347,0.9441003299187445,0.9441102357501419,0.9441193439683754,0.9441208539140461,0.9440939879340421,0.944060093418537,0.9440539461468729,0.9440538541990473,0.9440637466317554,0.9440736390644633,0.9440835314971714,0.9440934239298795,0.9440999679661168,0.944087222015304,0.94406359695529,0.9440509376600306,0.9440239746717933,0.9440197538284838,0.9440195932955832,0.9440194327626825,0.9440066149039488,0.9440164943153753,0.9440252635767412,0.9440246909150223,0.9440206462926602,0.9440305215464332,0.9440403968002062,0.9440502676512967,0.9440517783666433,0.9440474379318993,0.9440562287590166,0.944059977753203,0.9440629858230589,0.9440520447194496,0.9440478263159451,0.9440447220152648,0.9440374815149016,0.944040585828285,0.9440318417153901,0.944034904537989,0.9440447401044021,0.9440545756708151,0.9440640713497944,0.9440712137165822,0.9440719112467819,0.9440706792298208,0.944080505692274,0.9440901949450478,0.9440975945458822,0.9440832270364924,0.9440666290550036,0.9440668053873833,0.9440491658111406,0.9440398836784156,0.9440495630971224,0.944059242515829,0.9440629009855286,0.9440557741768811,0.9440654478271024,0.9440751214773238,0.9440848793048632,0.944092526733485,0.9440937418015903,0.9440711680580731,0.9440613907927724,0.9440595526322815,0.9440693304078018,0.9440791081833222,0.9440888859588425,0.9440986637343629,0.9441084415098833,0.9441182192854036,0.944127997060924,0.9441377748364443,0.9441475526119647,0.9441573303874851,0.9441670986835679,0.9441768145016282,0.9441858911146709,0.9441715857104017,0.9441515701030916,0.9441466813694168,0.944133545259211,0.9441410660172632,0.944150006788689,0.9441589475601146,0.9441678883315403,0.944176829102966,0.9441857698743916,0.9441848249267616,0.944164991543424,0.944167323291752,0.9441765497953343,0.944185699588111,0.9441855097327613,0.9441334256462824,0.9441054830765381,0.9441127779031013,0.9441224945718711,0.9441322112406407,0.9441417328204316,0.9441499984067077,0.944155757158386,0.9441396648451411,0.9441346456089836,0.94414423924411,0.9441535591977159,0.9441610264015705,0.9441628350670491,0.9441637090848776,0.9441535509801307,0.9441548313730745,0.9441365770614999,0.9441303171909414,0.9441399666295902,0.9441494104992345,0.9441571858595381,0.9441563379814918,0.944165983789133,0.9441756295967739,0.9441821809653668,0.9441760475205123,0.9441726575585685,0.9441699774852205,0.9441663765374575,0.9441705919620149,0.9441692982725215,0.9441789589179852,0.944188619563449,0.9441982778465285,0.9442061792678,0.9442085556222808,0.9442051814792156,0.944196629369664,0.9442001180672852,0.9441924025263735,0.9441899654904599,0.9441965158717787,0.9442061550432628,0.9442080909740966,0.9441904399312213,0.9441809553929323,0.944189882269211,0.9441964587189466,0.9441957334055876,0.9441864926658784,0.9441952962443125,0.9442048765341726,0.9442144007758745,0.9442207835482097,0.944214575868016,0.9442063479664893,0.9442061056994426,0.9441908626936879,0.9441838421137054,0.9441930673190132,0.9441996567617141,0.9441890392285452,0.9441830342401114,0.9441923315718808,0.9442000416542189,0.9441966482307431,0.9441957842024554,0.9441950991041143,0.9441947994663968,0.9441823744138127,0.9441919102729129,0.9442012812232841,0.9442070488088834,0.9442050676822904,0.9441943336540541,0.9441858173777401,0.944182283918084,0.9441664572094932,0.9441760331296318,0.9441856090497707,0.9441914649869927,0.9441739728432399,0.9441576859298542,0.9441672591596357,0.9441768323894173,0.9441864004939575,0.9441897666612931,0.9441932324021683,0.9441811560228726,0.9441686809796376,0.9441755517773189,0.9441851025564971,0.9441904708018365,0.9441865464085859,0.9441872904097113,0.9441960786239388,0.944205624255171,0.9442151698864032,0.9442247149145595,0.9442324655423642,0.9442349023267771,0.944223793573655,0.9442105475226958,0.9442131580527907,0.9442217114043534,0.9442302647559162,0.944238818107479,0.94424028312707,0.9442274660429312,0.9442252837106283,0.9442168127306163,0.9442225936692197,0.9442320284250463,0.9442414631808727,0.9442508979366993,0.9442603326925256,0.9442697574592849,0.9442762835796834,0.9442773811387168,0.9442686338634245,0.9442593203797237,0.9442584679240615,0.9442679515113747,0.9442774350986878,0.9442869186860008,0.9442964014896824,0.9443044769029478,0.9443001617687728,0.944269236947175,0.9442652277810448,0.9442610267612319,0.944269404957262,0.944277783153292,0.9442861613493219,0.944294539545352,0.944302917741382,0.9443112736970771,0.9443190809559814,0.9443216973637665,0.9443210518572358,0.9443278512626949,0.9443307440838371,0.9443267548305581,0.9443270868387577,0.9443287124412321,0.9443351537944766,0.9443388474209526,0.9443351219993698,0.9443385647481704,0.9443427338073412,0.9443521637294954,0.9443598791406603,0.9443680571805153,0.9443659712492627,0.9443625583888731,0.9443644134171659,0.9443598337750079,0.9443544563111272,0.9443636338122827,0.9443729402242333,0.9443823452565328,0.9443917502888322,0.9444011553211314,0.9444089598546717,0.9444183545136539,0.9444277437141031,0.9444326773846143,0.9444262334845004,0.9444014746114867,0.9443961505169394,0.9444055325534588,0.9444149145899783,0.9444242966264977,0.9444257953613392,0.9444349065532229,0.9444406748115695,0.9444418359113489,0.9444316417528416,0.9444260941610776,0.9444331802913988,0.9444424534342206,0.9444517265770425,0.9444609997198643,0.9444613807534299,0.9444328404925666,0.9444345751953039,0.9444417161860995,0.9444446982089081,0.9444466285621309,0.9444501395822087,0.9444491049194418,0.9444581203936939,0.9444670035047096,0.9444727492622362,0.9444690512617973,0.9444677444897354,0.9444768642629933,0.9444737397163068,0.9444702166827279,0.944476633187775,0.9444858351778458,0.9444950371679168,0.9445042391579876,0.9445134411480587,0.9445226431381296,0.9445318407174352,0.9445334129174585,0.9445236231702234,0.9445013540087266,0.9444818545824655,0.9444825017082203,0.944491052577636,0.9444812907765601,0.9444624294267538,0.9444621642513724,0.9444707514396276,0.9444786696540266,0.9444835382793129,0.9444809590360217,0.9444791733110647,0.9444874923710408,0.9444913663019097,0.9444693807792546,0.944426344332959,0.9444135525437832,0.9444228396481726,0.9444321267525622,0.9444385972764414,0.9444159203638951,0.944407736105834,0.9444170180801739,0.9444257621948682,0.9444305240882169,0.9444292620837085,0.9444336934122171,0.9444429641814589,0.9444522335127173,0.9444614975622365,0.944470759978435,0.9444792067129436,0.9444827520619281,0.9444807218653146,0.9444382035848857,0.9444195211781153,0.9444287790330741,0.9444380368880329,0.9444467713394208,0.9444350761174762,0.9444108509706435,0.9443841614234492,0.9443724869407999,0.9443817378645568,0.9443909887883137,0.9444002397120707,0.9444094906358276,0.9444187369507729,0.9444278019218617,0.9444241143597252,0.9444172674560933,0.944389387115816,0.9443832098092528,0.9443910827824464,0.9443998288211467,0.944408574859847,0.9444173208985471,0.9444086186737162,0.944397055198678,0.9444052567581874,0.9444113919770157,0.9444204428716529,0.9444294937662903,0.9444323298427383,0.944422998520368,0.9443983184956897,0.9443734141583076,0.9443701346959235,0.9443754027396105,0.9443846136565558,0.944393824573501,0.9443991274542978,0.9444012190887839,0.9443915177444508,0.9443947177141219,0.9443999400374156,0.9443957264291383,0.9443861504442768,0.9443839828262557,0.9443928466590534,0.944401710491851,0.9444105705081958,0.9444145618230472,0.9444094435561701,0.9444017954288322,0.9443980394544464,0.9444069254254035,0.9444158113963607,0.9444246973673178,0.9444335833382749,0.9444413194918994,0.9444458320075411,0.9444414738663622,0.944416206265087,0.9443915890233952,0.9443921407243661,0.944401299653522,0.9444104585826782,0.9444196175118342,0.9444204088603152,0.9444131291020754,0.9444185332515909,0.9444249371337081,0.9444324694478552,0.9444346360799248,0.9444271429716157,0.9444160528470532,0.944399557522106,0.9444017084369434,0.9444095579452649,0.9444123201434151,0.9444085586343561,0.9444051426379353,0.9444114841632154,0.9444055353385705,0.9444068773698631,0.9444062657427595,0.9444053825732305,0.9444076373065835,0.9444166371407061,0.944425636974829,0.9444346368089517,0.9444436351544137,0.944449939692835,0.9444379083793915,0.9443979956830932,0.9443707025977848,0.9443726520854014,0.9443817641539117,0.944390876222422,0.9443999882909322,0.9444083358120519,0.9443997915207427,0.9443857052225937,0.9443948124413404,0.9444039196600872,0.944413026878834,0.944422128300572,0.9444310853208011,0.9444385963870768,0.9444372111305186,0.9444239699982757,0.944418518119968,0.9444264430027074,0.9444259788968269,0.9444154181202451,0.9444104705529319,0.9444160904899099,0.9444251711843227,0.9444212365390081,0.9444260740090759,0.9444288021705487,0.9444319695273053,0.9444410421527272,0.9444501094222745,0.9444569527306068,0.9444570492665814,0.9444496191264522,0.9444549059710006,0.94445226899825,0.9444412470130943,0.9444401022405805,0.9444491545614531,0.9444582068823257,0.9444672592031984,0.944476311524071,0.944484700429919,0.9444823297256879,0.9444676409859079,0.9444654212025496,0.9444669982573568,0.9444469892985443,0.9444559582022903,0.9444649271060362,0.9444738960097823,0.9444828649135282,0.9444840015073269,0.9444691784306917,0.9444589100967395,0.9444606676956557,0.9444404417604244,0.9444199314038004,0.9444216523126682,0.9444305804076003,0.9444395085025323,0.9444484786577878,0.9444556562475451,0.944437422915231,0.9444073112549994,0.9444017226179815,0.9444107420551655,0.9444197614923495,0.9444287748670701,0.9444375721150078,0.9444441856320509,0.9444348045897736,0.9444252975998779,0.9444192318147053,0.94439578780168,0.9443904398171752,0.9443982231539196,0.9444071379019123,0.9444160526499049,0.9444249673978975,0.9444321449714534,0.9444354989568311,0.9444297676084124,0.9444241653710734,0.9444328405982907,0.9444367861017746,0.9444334956461539,0.9444280159298866,0.944429643740551,0.9444386180696384,0.9444475888113453,0.9444501515503552,0.944435439028434,0.9444164721623534,0.9444169983478523,0.9444250680447552,0.9444340392614003,0.9444430104780456,0.9444519793711762,0.9444609400997264,0.9444579132565916,0.9444266458748273,0.9444154963432778,0.9443999283020265,0.9443964423476536,0.9444028485416065,0.9444110688444922,0.9444192593923189,0.9444227482759376,0.9444209628223283,0.9444084014198676,0.9443999118759536,0.9444022375406214,0.9443927542880672,0.9444016927159384,0.9444106311438099,0.9444195695716813,0.9444285079995527,0.9444374464274239,0.9444364106335073,0.9444412771896566,0.9444312957050993,0.9444364431549261,0.9444390854613691,0.9444228671241871,0.9444133551870224,0.944421669032804,0.9444262993765244,0.9444227219898269,0.9444291147013586,0.9444188682520752,0.9444150613529051,0.9444239754632384,0.9444328895735719,0.9444417981277207,0.944445179434029,0.9444295960808976,0.9444239548730793,0.9444325458931291,0.9444377309347494,0.9444297242811001,0.9444128010539208,0.9444212361403973,0.9444296384759603,0.9444345021944252,0.9444317040278302,0.9444256719949166,0.9444275838087443,0.9444349941459871,0.9444420666480907,0.9444402100380005,0.9444384237816537,0.94444567416327,0.9444545540205751,0.94445948759987,0.9444518212614782,0.9444376877785343,0.944439476041691,0.9444431844177961,0.9444407514276204,0.9444354082881522,0.9444442767522805,0.9444531452164087,0.9444344064436213,0.9444069911959563,0.9443735977541348,0.9443784382539278,0.9443872647709479,0.944396091287968,0.944404917804988,0.944413744322008,0.9444225708390281,0.9444313973560482,0.9444402238730683,0.9444488941710698,0.9444530342857812,0.9444522214082935,0.9444509228462836,0.9444478600666728,0.9444461491955574,0.9444416821886485,0.9444483506241015,0.9444571836366596,0.9444660166492178,0.9444729521075226,0.9444753558381607,0.9444697253888255,0.9444594333365377,0.9444537562282914,0.9444456863343662,0.9444545034256637,0.9444633205169611,0.9444721376082585,0.9444809546995561,0.9444897698890886,0.9444974799376638,0.9444975681620033,0.9444861396630846,0.9444797974745526,0.9444770838473431,0.9444764610043921,0.944470532246752,0.944479255876679,0.9444879795066061,0.9444967031365331,0.9445047733597207,0.9445092046180488,0.9445056174910165,0.9445024488344763,0.9445111719625414,0.9445133761540803,0.9445058801689821,0.9445041116526824,0.9445121702346091,0.9445143643768565,0.9445107063144753,0.9444978900953801,0.9444849696535922,0.9444800552334125,0.9444747472485497,0.944483115663031,0.9444914840775123,0.9444983136482763,0.944506674983302,0.9445150363183276,0.9445169404972868,0.9444950001259966,0.9444750864907077,0.9444602371490436,0.9444662199191008,0.9444722026891581,0.9444781854592152,0.94445812455174,0.9444574448888647,0.944463422908026,0.944460794008831,0.9444345464996989,0.9444314543663889,0.9444396617409414,0.9444450991300624,0.9444373728226275,0.944443273801474,0.9444514778724424,0.9444596819434107,0.9444525788738571,0.9444457215828668,0.9444539255783555,0.9444565872782147,0.9444419062663694,0.944430972193951,0.9444397069447302,0.9444484416955095,0.9444571764462886,0.9444659077261549,0.9444635240561652,0.9444722465480664,0.9444780895014134,0.9444630752765396,0.9444084814356545,0.9443548178801555,0.9443635416344374,0.9443722653887194,0.9443809891430015,0.9443897128972836,0.9443984366515655,0.9444071604058475,0.9444158841601296,0.9444246079144116,0.9443761563257929,0.9443407165146299,0.94430894079694,0.9443000623767122,0.9443087818905462,0.9443175014043802,0.9443262209182142,0.9443349404320482,0.9443436570625092,0.944349475934076,0.9443501964182655,0.9443409381383283,0.9443358917249987,0.9443318331281887,0.9443402306048826,0.9443489342067972,0.9443380526751447,0.9442928586643016,0.944253625524407,0.9442544958244765,0.9442631010998476,0.9442717063752186,0.9442803116505898,0.9442889169259608,0.9442975222013319,0.9443061274767031,0.9443147327520742,0.944323332561081,0.9443242296363981,0.9443132275208302,0.9442979881233786,0.9442955369924713,0.9443040599509349,0.9443125829093986,0.9443211058678622,0.9443296288263259,0.9443381517847895,0.9443329753914171,0.9443027156955107,0.9442843495924396,0.9442836840403057,0.9442922859631273,0.9443008878859491,0.9443094898087707,0.9443085907057748,0.9442736499790803,0.9442456658294905,0.9442466009011712,0.9442552621868514,0.9442639234725316,0.944272584758212,0.9442812460438921,0.9442899073295723,0.9442969040766522,0.944294589541254,0.9442800276593675,0.944265729914413,0.9442743690658812,0.9442827561418733,0.944270721633498,0.9442602552911508,0.9442518296314009,0.9442307482745609,0.9442354984421188,0.9442379177624826,0.9442288028373513,0.9442180349209801,0.9442248986382771,0.944233539691594,0.9442421807449108,0.9442508205319116,0.9442588058212085,0.9442623433054367,0.9442575116679892,0.9442464571483664,0.9442549196089718,0.9442633820695773,0.9442704386152925,0.9442668193608414,0.9442566796012243,0.9442570776949434,0.9442454575142425,0.9442320574454329,0.9442252112806052,0.9442211349004785,0.944220625845972,0.9442235768734867,0.944232194580295,0.944239835691045,0.9442428849689211,0.9442358698687618,0.9442177753001331,0.9442083358757268,0.9442123304116445,0.9442056098728594,0.9441961152407647,0.9442047222918668,0.9442133279374186,0.9442202035777378,0.9442172472891809,0.9442142005043667,0.9442110866128328,0.944217012314059,0.9442186486147599,0.944220563472165,0.9442233343016465,0.9442173675602661,0.9442061764584554,0.9442085851318218,0.9442035329975014,0.944192294089788,0.9441929872820043,0.9442015714489773,0.9442101525726705,0.9442138177638795,0.9442096485869848,0.9442056212576897,0.9442099583529021,0.9442185338171701,0.9442271090459002,0.9442356778244406,0.9442356831038339,0.9442325540279655,0.9442277807838758,0.9442180857525495,0.9442252597937116,0.944232716283095,0.9442331465324483,0.9442260387783394,0.9442233277501931,0.9442230556491271,0.9442316104772628,0.9442401653053984,0.9442487162483095,0.9442572637895408,0.9442643676163655,0.9442649161712241,0.9442594387334239,0.9442531097276619,0.9442479049454098,0.9442479801439376,0.9442469933753819,0.9442239806218539,0.944211887353561,0.9442114912920554,0.9442176266336177,0.9442261627910018,0.944234698292933,0.9442429546251538,0.944245900275305,0.9442386165638781,0.944236632779624,0.9442390453571545,0.9442384852090602,0.9442364839615982,0.9442422976565795,0.9442508142150985,0.9442593276280087,0.9442566392272426,0.9442478424795873,0.9442492598448213,0.9442577692542113,0.9442662786636014,0.9442747879417324,0.9442832911717479,0.9442888481285796,0.9442821294736525,0.9442587325710241,0.9442422895709415,0.9442081729672569,0.9442157533007901,0.9442233336343233,0.9442309139678566,0.94423849430139,0.9442444468021405,0.9442391349680392,0.9442210537873041,0.944229544589168,0.9442380353910318,0.9442464251623142,0.9442543893325659,0.9442604803325885,0.9442580318165608,0.9442421741726541,0.9442388193246423,0.9442337693107559,0.9442422457507411,0.9442470346521835,0.94424799771366,0.9442404090326566,0.9442320662702282,0.9442349629963247,0.9442422158952009,0.9442417204857447,0.9442402181202908,0.9442238958962423,0.9442323615134554,0.9442408271306683,0.9442384435249787,0.944240504495818,0.9442238983580599,0.9442286153995291,0.9442321394992366,0.9442244424604653,0.9442086539455558,0.944202471622715,0.9442097600378472,0.944212664544759,0.9442083436815671,0.9441751525821995,0.9441628520249774,0.944167830396236,0.9441762796725468,0.9441847289488579,0.9441931782251689,0.9442014472987312,0.9442095216511517,0.9442174305597573,0.9442220280692029,0.9442234616105136,0.9442206762749268,0.9442031321310203,0.9442063428409031,0.9442103941838034,0.9442099581984691,0.9442037836700197,0.9442045918092847,0.9442130168621994,0.9442189466295423,0.9442102499633698,0.9441812405041012,0.9441539247872681,0.9441435445812489,0.9441519716307527,0.9441601826860785,0.9441674795813408,0.9441704474599744,0.9441607702783965,0.9441504356662802,0.9441286337233303,0.9441122495754986,0.9440999212444614,0.9440883874905535,0.9440911941469405,0.9440996130040606,0.9441080318611808,0.9441145154982372,0.9441107076816023,0.9441014901232152,0.9440958394477978,0.9440758530525656,0.9440502682489693,0.9440557505789675,0.9440639244672469,0.9440720983555262,0.9440802722438055,0.9440884461320849,0.9440859277543001,0.9440654483357154,0.9440349112974978,0.944022051267912,0.9440159699260132,0.9440211085805954,0.9440291490121873,0.944037189443779,0.9440452298753708,0.9440532255966446,0.9440592646045445,0.9440425440602696,0.9440234655240002,0.9440136083452811,0.9440199713483477,0.9440280440826253,0.9440361168169029,0.9440441895511804,0.9440483595519125,0.944043500945023,0.9440342825467805,0.9440213887741651,0.9440156454764155,0.944008393352583,0.9440110145261602,0.9440193925490483,0.9440185945709327,0.9440084065964123,0.9440127724261151,0.9440211474379028,0.9440275511427053,0.944011073021884,0.9440019256745369,0.9439970867795944,0.943995974328544,0.9440043127933334,0.944012651258123,0.9440155038806677,0.9440147702166186,0.9440231002434989,0.9440216008012158,0.9440174922619022,0.9440258233744128,0.9440341544869233,0.9440424855994339,0.9440508167119445,0.9440582157157189,0.9440577900864486,0.9440442503659594,0.9440351648187051,0.9440424797555562,0.9440282431153294,0.9440365827599955,0.9440333454217986,0.9440217894607065,0.9440141196486396,0.9440008146974642,0.9439516790376603,0.9439599251676487,0.943968261622371,0.9439569698971663,0.9439340306575275,0.9439423672137208,0.9439507037699144,0.9439590403261078,0.9439673768823014,0.9439757134384947,0.9439840499946883,0.9439923865508818,0.9440007191578279,0.9440076340813828,0.9440057353411753,0.943984124391373,0.9439623308226908,0.9439706473114224,0.9439789638001542,0.9439872802888859,0.9439921962605611,0.9440005053360683,0.9440088144115755,0.9440166824121186,0.9439859323297874,0.943958492590576,0.9439568647593778,0.9439651662988453,0.943973467838313,0.9439817693777806,0.9439900709172482,0.9439983724567158,0.9440066739961833,0.944014975535651,0.9440232770751186,0.9440312931815908,0.9440383740918814,0.9440372074334564,0.9440087233735908,0.9439875151805903,0.9439670320860634,0.9439717000461666,0.9439799865802783,0.9439882731143899,0.943995654907732,0.9439954160021846,0.9439906226531111,0.9439853566993099,0.9439825111343991,0.943985530340774,0.9439900162567068,0.9439925436165165,0.9439851955945868,0.9439918190487787,0.9439997965788018,0.9440021582421882,0.9439995890712876,0.943993302416755,0.9439918612886402,0.9439988890348325,0.9440010628338217,0.9439995762352928,0.9439867005749576,0.9439880253861195,0.9439962846076884,0.9439994900230948,0.9439844191400333,0.9439706189191929,0.9439728499211673,0.9439788329642658,0.9439818454757538,0.9439745708608442,0.9439572184529017,0.9439519202901678,0.9439497404334753,0.9439395379720641,0.9439347763106989,0.9439352464126102,0.9439394843050204,0.9439437221974306,0.9439386516115512,0.9439222371486001,0.9439122467296645,0.9439063985236807,0.9438900298626647,0.9438762108238519,0.943878881632471,0.943886149921235,0.9438931636936951,0.9438918860903353,0.9438260399448195,0.9437922514384496,0.9437867000369062,0.9437949413665654,0.9438031855689567,0.943811429771348,0.9438196739737392,0.9438228815131082,0.9438176812087021,0.9437997729205316,0.9437711730750331,0.9437535916390618,0.9437616091727365,0.9437696267064114,0.943777644240086,0.9437856617737609,0.9437936793074357,0.9438011823923581,0.9437999726649327,0.9437707068601778,0.9437425057387161,0.9437504858885962,0.9437534297402327,0.9437504743894654,0.9437443127589191,0.9437423621491361,0.9437505873639057,0.9437588125786754,0.943766923206116,0.9437707282881604,0.9437543671700994,0.9437449299454155,0.9437049234920657,0.9437084275263128,0.9436976513853295,0.9437053389077596,0.943713504975858,0.9437216710439564,0.943729837112055,0.9437365601132496,0.9437109585220411,0.9436767156832435,0.9436404286345083,0.9436395773146498,0.9436475515538993,0.9436555257931487,0.9436627635555939,0.9436580014451033,0.9436416593723083,0.9436374689712517,0.9436223700548094,0.9436222065476709,0.9436304130178439,0.9436386194880169,0.9436468259581899,0.9436547484230722,0.9436595262201777,0.943653127598377,0.9436451479632095,0.9436496232220415,0.9436480830895192,0.9436405408832462,0.943636414151304,0.943644600313113,0.943652786474922,0.9436609726367311,0.9436691587985402,0.9436773449603493,0.9436855166099256,0.9436934900744426,0.9437015984373631,0.9437056224536742,0.9437094611980423,0.9437106430102409,0.9437008112978924,0.9436890534469268,0.9436895468930246,0.9436817521583574,0.9436774136323361,0.9436853545099262,0.9436932953875161,0.943701236265106,0.943709177142696,0.9437157329243304,0.9437190751682993,0.943715222822479,0.9437150056798633,0.9437150726418179,0.9437023153111459,0.9437003135985089,0.9437084631350067,0.9437166104004093,0.9437247560244617,0.9437303214505822,0.9437257993029389,0.9437091621932441,0.9436994130567795,0.9436968222972713,0.9436944761862494,0.9437026149695333,0.9437059211254211,0.9437039300768176,0.9437007956386538,0.9437031347049463,0.943710080083804,0.9436978980043476,0.943681754034652,0.9436864812518486,0.9436935430035907,0.9437006047553327,0.9437076665070747,0.9437147282588165,0.9437109584812459,0.9437029939867047,0.9436995876053818,0.9437071751655182,0.9436977251926026,0.9436857867847266,0.9436773527044711,0.9436818135637682,0.9436895801230734,0.9436973466823787,0.9437051132416838,0.9437128778789838,0.9437191336164056,0.9437063908384646,0.9436707236809003,0.9436683405223103,0.9436755889019928,0.9436828372816752,0.9436900856613576,0.9436920985607435,0.9436872840483714,0.9436787862708707,0.9436719037923423,0.9436721485099584,0.9436732197561265,0.9436700384383759,0.9436457813179528,0.9436168690537126,0.9435961362513352,0.9435858759827616,0.9435780312109123,0.9435761211756116,0.943581548477418,0.9435753756247974,0.9435566937617179,0.9435483410874499,0.943541296933796,0.9435440811523773,0.9435295499085992,0.9435331383458994,0.9435412334860419,0.9435493266117199,0.9435546990647969,0.9435464857971596,0.9435227295213853,0.9435130115008934,0.9435070138929624,0.9435126307022306,0.943520646866394,0.9435239927484524,0.9435132859071975,0.9435023089809005,0.9435023622506695,0.9435104401982111,0.9435141884574756,0.9435002676843505,0.9434914874956389,0.9434995656921497,0.9435076438886604,0.943515722085171,0.9435189615421122,0.9435128458812547,0.9435005643581333,0.9434854430884785,0.9434721290221328,0.9434796632021916,0.9434871973822503,0.943494731562309,0.943485792400217,0.9434874243851425,0.9434899784004043,0.9434976157198598,0.9434994402693802,0.9434950325650323,0.9434608078599427,0.943448032392048,0.9434368782805722,0.9434449391757078,0.9434526379822887,0.9434571797035445,0.9434346947306822,0.9434178379861526,0.9434252049228375,0.9434332611836054,0.9434343023521882,0.943419343389987,0.9434109654470111,0.9434190201459842,0.9434270724661717,0.9434214152193418,0.9433830153968279,0.9433710991055426,0.9433644346403656,0.9433724858434371,0.9433805370465087,0.9433860661390375,0.9433743593961859,0.9433551717116366,0.9433632210884766,0.9433626516783729,0.9433563992099614,0.9433553827489354,0.9433632899522308,0.9433713329215561,0.943379374361095,0.943383778580703,0.9433756175823821,0.9433715001309192,0.9433677904014589,0.9433714269606253,0.9433651255178421,0.9433515908813638,0.9433594758053725,0.9433660000463744,0.9433687344585647,0.9433502010963198,0.9433088940868397,0.943306707826906,0.9433143575361254,0.9433220072453448,0.9433296569545642,0.9433262747527791,0.9433183782119894,0.9433027218763501,0.943309485050571,0.9433170971933478,0.9433247093361243,0.9433323214789011,0.9433399190705859,0.9433465051967314,0.9433433613711937,0.9433372832216601,0.9433226877644922,0.9433191801963029,0.9433068446201807,0.9433002615685129,0.9433074426210699,0.943314623673627,0.943321804726184,0.943328553996116,0.9433257636269644,0.9433231088259332,0.9433195430336129,0.9433262388325101,0.9433274210296934,0.9433229285479008,0.9433105337270644,0.9433143401804972,0.943322332729857,0.9433303252792169,0.9433383178285767,0.9433463089918637,0.9433510247937212,0.9433422601645796,0.9433385127250831,0.9433202837494898,0.9433093819320676,0.9433060402965341,0.9433079808827738,0.9433159617168478,0.943320095524308,0.9433171658702086,0.9433132525446704,0.9433111330647029,0.9433128460458728,0.9433190088756753,0.9433182621674054,0.9433109702536586,0.9433118048618987,0.9433093092489299,0.9433172740633318,0.9433252388777336,0.9433329813476856,0.9433391644145597,0.9433360749482987,0.9433298436279766,0.9433286746443723,0.9433351363959986,0.9433430714059855,0.9433510064159724,0.943358940162718,0.9433658180226507,0.9433626024787622,0.943361266537881,0.9433575932441158,0.9433528298473213,0.943358744634488,0.9433666662423064,0.9433745878501245,0.9433825094579428,0.943388256082597,0.9433822160520844,0.9433669158660629,0.9433581180443309,0.94336513041522,0.9433721427861088,0.9433791551569978,0.943380850593884,0.9433541685634288,0.943322961178835,0.9433075195019224,0.9433119843868301,0.9433197550327774,0.9433275256787247,0.943335296324672,0.9433388013194064,0.9433078881936531,0.9432717493288172,0.9432664462360656,0.9432722081701328,0.9432801294926305,0.9432880508151282,0.9432959721376262,0.9433038934601239,0.9433118147826216,0.9433067192337099,0.9432987331208649,0.9433030694388533,0.9433099606507631,0.9433120995784432,0.9433145289077159,0.9433079511089628,0.9432836936123448,0.9432915741744957,0.9432933106675025,0.9432775019350652,0.9432508594934202,0.9432262230911849,0.9432086138769527,0.9431981824606739,0.9432039467935593,0.9432097111264447,0.9432154754593303,0.9432037474907877,0.9431886504074645,0.9431937874804199,0.9432015817652966,0.9432093760501732,0.9432171703350498,0.9432249646199267,0.9432305040898699,0.9432298027559367,0.943222106532259,0.9432171159346772,0.9432125023984999,0.9432040584119905,0.9432118416656089,0.9432193038784494,0.9432239683990353,0.9432202582399289,0.943225691552275,0.943233582358028,0.9432400228273856,0.9432410479693321,0.9432365850283839,0.9432273883161688,0.9432244748189708,0.943204082470453,0.9431994022703956,0.9432072788667518,0.9432151528772141,0.9432203009918583,0.9432174990013802,0.9431923982070212,0.943173622773273,0.9431814994818932,0.9431893761905137,0.943195912387629,0.943194435647986,0.9431863346777578,0.9431786439229728,0.9431799101039497,0.9431865537069515,0.9431944212039414,0.9432008280087381,0.943199742087223,0.9431881530517872,0.9431753431985073,0.9431597666917413,0.9431502226620463,0.9431448782221727,0.9431527366877597,0.9431605951533466,0.94316845047982,0.9431756998166526,0.9431800518975488,0.94318790644934,0.9431957610011313,0.943203612524018,0.9432034192463541,0.943189820225758,0.9431715107557062,0.9431501512408692,0.9431382581004981,0.9431460297151955,0.9431538013298928,0.9431615729445904,0.9431693445592877,0.9431771161739851,0.9431676168195178,0.9431728263326977,0.9431793596453653,0.943185799228258,0.9431712775466676,0.9431498699113559,0.9431404928980132,0.9431475689569477,0.9431553156144027,0.9431630622718575,0.9431649790992227,0.9431574025960303,0.9431531203780797,0.9431608745127591,0.9431682652600558,0.9431663913399433,0.9431618729994851,0.9431557349228636,0.9431576348780976,0.9431654116405492,0.943173188403001,0.9431776804189973,0.9431667085760911,0.9431401261280198,0.9431032773316395,0.9430842707229772,0.9430917788489727,0.9430948844583174,0.9430810851232472,0.9430551908112891,0.9430235352082699,0.9430175747605236,0.9430221305732809,0.9430298842322822,0.9430376378912834,0.9430453866073834,0.943038386350975,0.9430389781287744,0.9430467286335116,0.9430543028324803,0.9430597017706968,0.9430554313798976,0.943042620300931,0.943018260320104,0.9429924306611217,0.9429993580606725,0.9430062854602232,0.943013212859774,0.9430201402593248,0.9430207342080723,0.9430067959884953,0.9429862011033368,0.9429717504199253,0.942958965191312,0.9429299856239051,0.942887768489958,0.9428869511915747,0.9428678753217834,0.942854839832123,0.942862542368444,0.942870244904765,0.9428779474410861,0.9428856499774071,0.9428928392065058,0.9428961703649588,0.942886117111857,0.9428681610610732,0.9428538279905921,0.9428305583829377,0.942809364931642,0.942816334425413,0.9428233039191838,0.9428280676477889,0.9428179171193636,0.9427884269434263,0.9427697356049793,0.9427450164913065,0.9427278557848155,0.9427335680347164,0.9427413686581092,0.9427491692815021,0.9427569699048949,0.9427647705282878,0.9427725688304178,0.9427703024682081,0.9427627146219315,0.942736170427868,0.9427211549586287,0.9427162105458529,0.9427129259878575,0.9427107498239676,0.9427109202356474,0.9427187114741706,0.9427260427920015,0.9427261051821775,0.9427195016288705,0.9427011432860869,0.9427015186877825,0.9427093029197164,0.9427170861482226,0.9427179434813668,0.9427148362745554,0.9426933700340214,0.9426657571149593,0.9426426985515372,0.9426475339893277,0.9426553126213126,0.9426630912532977,0.9426708698852827,0.9426786485172677,0.9426864271492527,0.9426942050712821,0.9427018776547951,0.9427076164641897,0.9427004422129507,0.9426706356084685,0.9426404880170054,0.9426299999618758,0.942625796557422,0.9426330720530545,0.942640347548687,0.9426476230443195,0.9426548985399521,0.9426621740355845,0.9426132095406383,0.9425644386380321,0.9425347351925156,0.9425192228487533,0.9424981609254692,0.9424764762977542,0.9424799002220366,0.9424876030399048,0.9424948664403419,0.942502129840779,0.9424995364159889,0.942446852496029,0.9424078226434549,0.9423959244190014,0.9423914112817564,0.9423989561420876,0.9424010746162443,0.9423898753216311,0.9423974206333261,0.9424049659450211,0.9421853214649678,0.9420998564900904,0.9420606061884824,0.9420419549020197,0.942014961279068,0.941968530487161,0.9419446387724844,0.9419502813663921,0.941957544065996,0.9419617949298709,0.9419555415835392,0.941909184067411,0.941890530445405,0.941891869650345,0.9418991816356028,0.9419064936208608,0.9419138056061187,0.9419196933776908,0.94192724026065,0.9419304952354108,0.9419137344551995,0.9418928694768837,0.9418567779515903,0.9418341468306357,0.9418356714416063,0.9418434815778707,0.9418512917141351,0.9418591018503992,0.9418669119866636,0.9418747221229279,0.9418825322591922,0.9418903411743313,0.9418974846279184,0.9419011817119648,0.941900670175814,0.9418881262788212,0.9418630628172329,0.9418583385350385,0.9418579218671743,0.9418652160477581,0.9418725102283421,0.9418798044089259,0.9418816674870615,0.9418681706319365,0.941829204794018,0.9417976791489696,0.9417998275864905,0.9418076157094746,0.9418154038324585,0.9418231919554426,0.9418309800784267,0.9418387682014109,0.941846556324395,0.941854344447379,0.9418621325703631,0.9418699194766128,0.9418776544712741,0.9418839860702524,0.9418820537079426,0.9418642800091293,0.9418248950402495,0.941805769386232,0.9418041523736292,0.9418119254811406,0.941819698588652,0.9418274716961633,0.9418352448036748,0.9418430179111861,0.9418507910186975,0.9418511523992343,0.9418482368002433,0.9418254215908786,0.9417962805350839,0.9417914805279589,0.9417989687019428,0.9418064568759266,0.9418064097290243,0.9418019379591065,0.9417982083270146,0.9417854451216168,0.9417882073096671,0.9417872875089437,0.9417749485391791,0.9417574880896947,0.9417489991721429,0.9417559045880093,0.9417607919741227,0.9417602959429585,0.9417460811027949,0.9417419412163068,0.9417495472155641,0.9417571532148216,0.9417635497362373,0.9417629154475817,0.9417498036930598,0.9417169563288466,0.9417006271352327,0.9417060266754105,0.9417137758662402,0.9417215250570699,0.9417292742478995,0.9417370234387292,0.941742535824891,0.9417433148860317,0.9417294473582349,0.9417006794706682,0.9416735054841563,0.9416709584751611,0.9416765388298308,0.9416795451821891,0.9416646003469082,0.94165861866697,0.9416594186674017,0.9416524571689908,0.9416469510520584,0.9416546897725664,0.9416624284930742,0.9416701672135821,0.9416779059340901,0.9416838311135494,0.9416810421769723,0.9416562896573644,0.9416300526672681,0.9416211233447895,0.941618982421764,0.941621176264697,0.9416098560530062,0.9415919412888518,0.9415760632253956,0.941563481217943,0.9415645847946259,0.9415723170270764,0.941580049259527,0.9415877814919773,0.941595513724428,0.9416032459568784,0.941608467900076,0.941597505689699,0.9415826152773359,0.9415575818521836,0.9415411541952741,0.9415373492927568,0.9415240025370133,0.9415198191564877,0.941527538043724,0.9415352569309603,0.9415429758181965,0.9415506947054327,0.941558413592669,0.9415661324799053,0.9415738513671416,0.9415815685982387,0.9415892814514419,0.9415969263103926,0.941595000192593,0.941575422835006,0.9415511319596929,0.9415349245081586,0.9415426254796322,0.9415503264870462,0.9415580274944602,0.9415657285018741,0.9415727416180166,0.9415768172423113,0.9415736160488617,0.9415650993898701,0.9415639882117577,0.9415716829492072,0.9415793776866568,0.9415864512035803,0.9415875062621006,0.9415770096510651,0.9415609710189756,0.9415550340832914,0.9415627243482776,0.9415699593169444,0.9415663805695883,0.9415549172861168,0.9415413089571687,0.9415352862967459,0.9415255477831511,0.9415222156307874,0.9415287655767073,0.9415283687811966,0.9415216685851207,0.9415260809582064,0.9415201519163987,0.941515557336186,0.9415218385645554,0.9415227491818818,0.9415190582144162,0.9415145760547821,0.9415161976843035,0.941523133624973,0.9415300695656426,0.9415368771410755,0.9415414706907028,0.9415346190136751,0.9415338299378682,0.9415386158138872,0.9415327481618244,0.9415142958538423,0.941518442633945,0.9415242375945986,0.9415224984128547,0.9415203307738977,0.9415166165012436,0.941523925054499,0.9415312336077544,0.9415383882856777,0.9415434411399828,0.9415471667576297,0.9415245612725187,0.9415006597417953,0.9414895181024658,0.9414847742093457,0.9414924211561337,0.9415000681029217,0.9415077150497098,0.9415153619964978,0.9415217388682158,0.9415195412158237,0.9415068950796724,0.9415020018695404,0.9415076699168456,0.9415054038918282,0.9414974208841778,0.9414905124694632,0.9414977263407422,0.9415049402120212,0.9415121540833005,0.9415130049016267,0.9415166908405173,0.9415054123673243,0.9415009862291337,0.9414967850933554,0.9414880207511918,0.9414956472914862,0.9415032738317806,0.941510900372075,0.9415185269123694,0.9415227125791914,0.941519582134081,0.9415272062698223,0.9415346624396593,0.9415337050877562,0.9415263714797093,0.9415034597780586,0.9414925724583454,0.941485936031392,0.9414935515974168,0.9415011671634417,0.9415087810185216,0.9415153984513358,0.9415165839511527,0.9415161076539926,0.941522122229149,0.9415228171109005,0.9415104851849696,0.9414922063888627,0.9414935075513999,0.9414911450800627,0.9414881151607721,0.9414831731315983,0.9414852345751107,0.9414928355282266,0.9414974904590108,0.9415049941500303,0.9415124978410496,0.9415200015320692,0.9414839688213286,0.9414895090012599,0.9414955008412095,0.941494860666118,0.9414945076428802,0.941485711880381,0.9414821255471831,0.9414874887030544,0.9414950766900663,0.9415026613985469,0.9415042720671434,0.9415028068214224,0.94149584573005,0.9414937465144758,0.9414856761464694,0.9414730658144335,0.9414661514565797,0.941462759907145,0.9414658290729037,0.9414734029247454,0.9414809767765872,0.941488550628429,0.9414807628171059,0.9414674273759169,0.9414689463119916,0.9414738722040173,0.9414704951483737,0.9414774890288933,0.941485058094739,0.94149238438423,0.9414962301305083,0.9414985685338825,0.9414923235604019,0.9414796718377105,0.9414869913758515,0.9414926731116404,0.941494783515726,0.9414796831254205,0.9414608754769171,0.9414603240408267,0.9414522390632732,0.9414278025381642,0.9414219709204417,0.9414287784385976,0.9414309120216924,0.9414290808861583,0.9414156269915521,0.9414148980219788,0.9414185706820787,0.9414124587218318,0.9413965674383333,0.9413825020394395,0.941386187020478,0.9413898694641005,0.9413906161799286,0.9413870939487816,0.9413837687042823,0.9413767017499951,0.9413681250113799,0.9413703541302588,0.9413735451766914,0.9413778627984088,0.9413806918575609,0.9413722784135393,0.94136681950218,0.9413628355577954,0.9413611953084499,0.9413672879699839,0.941373380631518,0.9413795961332521,0.9413725414535208,0.9413495303913599,0.9413242642305661,0.9413135782113211,0.9413080911943351,0.9413134998678816,0.9413210357249782,0.9413285715820747,0.9413361074391713,0.9413370744978768,0.9413255047134267,0.9413104310199272,0.9412974527998715,0.9412889961437929,0.9412883920246573,0.9412959221040668,0.941303429819851,0.9413107193510593,0.9413076679369179,0.941295496939424,0.9412744029161335,0.9412697506166138,0.9412634473073644,0.9412590921351341,0.9412666146669977,0.9412741371988611,0.9412816597307246,0.9412891812590176,0.9412934328152849,0.9412933112457036,0.9412898851101803,0.9412821696294067,0.9412649359178851,0.9412516843320535,0.9412553318091352,0.9412628455596268,0.9412703593101184,0.9412778704906115,0.9412839145142782,0.9412767850774215,0.941256809255268,0.9412440574223704,0.94123599347192,0.9412330416707868,0.9412396311374438,0.9412471375861178,0.9412541978311415,0.9412554342293897,0.9412422927540918,0.9412192702544568,0.9411987606302024,0.9411970755020376,0.9411985588451249,0.9412000421882123,0.9412015255312998,0.9411892373003549,0.9411581736481658,0.9411301557338547,0.9411200774164918,0.9411191255263069,0.9411094323803473,0.9411011126089317,0.9411065052149926,0.9411118978210535,0.9411172904271143,0.9411129816494513,0.9410874712385404,0.94106705827432,0.9410652859214632,0.9410567341003317,0.9410638667693124,0.941070999438293,0.9410781321072736,0.9410769989452845,0.9410693603989249,0.9410589821010413,0.9410493185404851,0.9410444669151625,0.9410321485837325,0.941023044779943,0.9410305379630768,0.9410380311462107,0.9410455243293443,0.9410504990303115,0.9410434614139421,0.9410236318730636,0.9410067724440538,0.941014141266337,0.9410212401577542,0.9410277619217087,0.9410283756058467,0.9410178225087966,0.9410092979073567,0.9410167812948753,0.9410242646823936,0.9410317480699122,0.9410391664027877,0.9410460588196607,0.9410504011442724,0.9410413621987334,0.9410002368087387,0.940995432765118,0.940977138796057,0.940976816629494,0.9409842724119656,0.9409917281944371,0.9409991839769087,0.9410066396711203,0.9410140914374868,0.9410140427264841,0.9409943185538462,0.9409765949434239,0.9409826966382399,0.9409901453615345,0.940997594084829,0.9410050428081236,0.9410124915314182,0.9410199402547128,0.9410273889780074,0.941034670394922,0.9410345679345514,0.9410198965547398,0.9410088320223277,0.941011729346631,0.9410191867204922,0.9410266419821864,0.9410308578182804,0.941023338764267,0.9410018969113305,0.9409744981763952,0.940963655047431,0.9409668372628139,0.9409741371500611,0.9409778304034307,0.9409642414421465,0.9409695989065223,0.9409739294787403,0.9409706747804698,0.9409714693876461,0.9409789111693909,0.940978487392744,0.9409766426553912,0.940968704208153,0.9409720355390578,0.9409794751031126,0.9409869104500368,0.9409941115984297,0.9409993198326094,0.9409989699858035,0.9409846415174458,0.940955596141239,0.9409393527584216,0.9409373648871489,0.9409447959643726,0.9409522270415964,0.9409596581188202,0.9409625648621343,0.9409598052076454,0.9409518693754827,0.9409351075875914,0.9409289322892909,0.9409287054698192,0.9409361275972044,0.9409382268817778,0.9409295073138668,0.9409198935685155,0.9409192567759146,0.9409266757903723,0.94093409480483,0.9409415138192878,0.9409489328337455,0.9409563493490145,0.9409635355144715,0.940969670897213,0.94097171720085,0.9409679349263544,0.9409606157296415,0.9409547940198504,0.9409449519700495,0.9409412167570359,0.9409447275768617,0.9409520156779707,0.9409525405907571,0.9409319872919765,0.9409028982476175,0.9408874207420637,0.9408869385177239,0.9408943405655483,0.9409017426133727,0.940909144661197,0.9409165467090215,0.9409239477384865,0.940930636573527,0.9409339283003759,0.9409269130603348,0.9409095625548143,0.9408987932759154,0.9408625448909083,0.9408578938882415,0.9408615107408291,0.9408564807833962,0.9408556044541991,0.9408475503439456,0.9408351153845036,0.9408264462183635,0.9408231112412178,0.940828445827431,0.9408358374205463,0.9408432281725723,0.9408506166125772,0.940857198171583,0.940860133303727,0.9408598543611871,0.940851737756266,0.94084438047465,0.9408469472822047,0.9408429502538396,0.9408338552203395,0.9408305331424109,0.9408371167445221,0.9408444933105191,0.9408518698765163,0.9408592464425134,0.9408666230085103,0.9408739995745075,0.9408813745731925,0.9408886245924462,0.9408947935849576,0.9408969026102022,0.9408878080558852,0.9408653792121098,0.940839345017472,0.9408368598366191,0.9408442244763615,0.940851589116104,0.9408588774624721,0.9408644493038834,0.940851191968531,0.9408392195578403,0.9408035350412514,0.9408062618585789,0.940813621231628,0.9408209806046772,0.9408283399777266,0.9408356993507758,0.9408420457857875,0.9408358265736038,0.9408217813874806,0.9408035662005382,0.940796027666142,0.9407952917838831,0.940801300310469,0.940807308837055,0.9408089552890051,0.9408017158193515,0.9407728839879803,0.9407661980443052,0.9407729561410738,0.9407801792256838,0.9407874023102938,0.9407946253949038,0.9408018484795139,0.9408076338375708,0.9408087618025367,0.940801965962238,0.9407916255379241,0.9407890924730828,0.940794474953023,0.9407980597094822,0.9407980973743011,0.9407847080397482,0.9407699340139826,0.9407717237172263,0.9407690682660311,0.9407618964709197,0.9407496498761561,0.9407495380448669,0.9407460089848682,0.9407406672243952,0.9407281429239904,0.9407354753202553,0.9407428062268917,0.9407472664625486,0.9407455813796567,0.9407404864671555,0.9407354301007489,0.9407400100617065,0.9407445327262736,0.9407397881625376,0.9407244473797534,0.9407167573436486,0.9407186516949249,0.9407171145396047,0.9407186748505503,0.9407101021952066,0.9406980459847165,0.9406936778259984,0.9406986361675558,0.9407020840341858,0.9407035201080192,0.9406987776687377,0.9406779903277571,0.9406552736340036,0.9406399984948475,0.9406333477347171,0.9406398283857214,0.9406463090367255,0.9406527896877297,0.940659270338734,0.9406653173232059,0.9406617927150551,0.9406534525669206,0.9406472211067455,0.9406329439700065,0.9406372117550035,0.9406413931184989,0.9406402673887313,0.9406387564410912,0.9406323372741241,0.9406254487964159,0.9406327243141395,0.9406399964982904,0.9406428777875351,0.9406386963491744,0.9406383633019407,0.9406384712512852,0.9406328910977977,0.9406371496041144,0.9406408058096032,0.9406374210148973,0.940629470736614,0.9406195732654277,0.9406268416443688,0.94063411002331,0.9406400998515283,0.940638531646855,0.940630696049938,0.9406154913588052,0.9405925274911701,0.9405879880979918,0.9405952770884802,0.9406025660789686,0.940609855069457,0.9406165568981574,0.9406205043259854,0.9406202488985193,0.9406118230011098,0.9405955546975083,0.9405828754067908,0.9405763010214551,0.9405706188019747,0.940577901670451,0.940585184538927,0.9405922971990422,0.9405953419721524,0.9405871371742889,0.9405705442074712,0.9405561278539062,0.9405474584983861,0.9405396923528546,0.9405469685053158,0.9405542446577768,0.9405615208102379,0.940568795255444,0.9405754081585342,0.9405775508514842,0.9405701007816312,0.9405518699295174,0.9405328628480563,0.9405279128026548,0.9405351809202644,0.940542449037874,0.9405477081879847,0.940543281081311,0.940532418302382,0.9405300005745812,0.9405324246639488,0.9405274722551273,0.9405214177902801,0.9405096050131456,0.9405033086513367,0.9404964172547918,0.9404923347148657,0.9404995505653133,0.9405038708588256,0.9404995540989971,0.940490055715356,0.9404860740481449,0.940493333853613,0.9404995952386901,0.9404993953829512,0.9404833644711164,0.9404594143821989,0.9404451889301308,0.9404523615639871,0.9404595341978434,0.9404667068316996,0.9404729191792167,0.9404548098894312,0.940442280804503,0.9404348244714902,0.9404367298857468,0.9404439012351622,0.9404510725845774,0.9404581222677901,0.9404635025770742,0.9404625759479911,0.9404533265751998,0.9404380713614113,0.9404390798495597,0.9404372943073673,0.9404330454453342,0.940426132603201,0.9404222882075796,0.9404178604371327,0.9404088229248195,0.940401167273245,0.9404025117980899,0.9404094532667007,0.9404163947353115,0.9404233362039223,0.9404302776725328,0.9404339376306783,0.9404304402051943,0.9404183107520336,0.9403923977607886,0.9403875845560048,0.9403795985689385,0.9403819360876664,0.940380974083856,0.9403742369928698,0.9403692178273262,0.9403746964241528,0.9403817226681324,0.9403887489121121,0.9403957751560916,0.9404028014000714,0.9404097145625556,0.940406306297117,0.940407828235606,0.940389558557723,0.9403504199821169,0.9403327028921253,0.940332783096459,0.9403400061200299,0.9403460865203814,0.9403492649022485,0.9403505433942125,0.9403449768290609,0.9403313624163299,0.9403190810861763,0.9403104460926532,0.94031605803672,0.9403232717265241,0.9403304854163282,0.9403376991061324,0.9403449127959366,0.9403521264857406,0.9403593383065642,0.9403659957984597,0.9403677588359418,0.9403552765806669,0.9403286477933226,0.940304927289463,0.9403060259655895,0.9403132298355037,0.9403204337054178,0.9403276375753322,0.9403347099375501,0.9403380087323314,0.9403305941254758,0.9403191835580138,0.9403096401442681,0.9403059946562914,0.9403031830299966,0.9402900426598504,0.9402960899836992,0.940303287210592,0.9403092386188465,0.9403050799990422,0.9402786983278986,0.9402433392849672,0.9402463839325675,0.9402422029683573,0.9402401320794893,0.9402244416936177,0.9402160541831159,0.9402231841883264,0.940230314193537,0.9402374436052188,0.9402444369357419,0.9402502417311898,0.9402534193221814,0.9402529926181546,0.9402394781482664,0.9402275893832157,0.9402202540632361,0.940224627608391,0.940230081453379,0.9402108544853289,0.9401798755254792,0.9401530884947791,0.9401543737403466,0.9401610010121317,0.9401676282839168,0.9401742555557018,0.9401808828274868,0.9401875100992718,0.940194137371057,0.9402007646428419,0.940206625290426,0.94020594175859,0.9401950808390689,0.9401752869169631,0.9401495467809873,0.9401460716122441,0.940151579455119,0.9401587538299552,0.940165563698302,0.940166528492734,0.9401605148830443,0.9401508360658772,0.9401567427257229,0.9401633224784038,0.9401667485200296,0.9401612257716625,0.940150732202067,0.9401481065859958,0.9401402507608421,0.9401471435748421,0.9401540363888421,0.9401609292028421,0.9401678220168422,0.9401719887399728,0.940159735016572,0.9401313320346452,0.9401116220395165,0.94009669452031,0.9400975720829388,0.9401047316236852,0.9401118911644316,0.940119050705178,0.9401262102459244,0.9401322446054075,0.9401332068387799,0.9401232331583541,0.9401030945920328,0.9400864678489028,0.9400701413381243,0.9400747101720923,0.9400818635099538,0.9400885047710827,0.9400907878253857,0.9400873698006051,0.9400796236138571,0.9400743278876627,0.9400756517492299,0.940069266207925,0.9400646716727822,0.9400559280315174,0.9400630746912879,0.9400702213510586,0.9400698668115732,0.9400616435354,0.9400534586116774,0.9400485558443843,0.9400422506063812,0.9400213172941716,0.9400031670504294,0.9399971862384338,0.939991908072918,0.9399903809962584,0.9399953218472561,0.9400019613212277,0.9400061335447505,0.9400046521690796,0.9399992363089953,0.9399830265773416,0.9399698844812386,0.9399666924367274,0.9399738272332039,0.9399809620296806,0.9399880968261571,0.9399952316226338,0.9400023664191104,0.9400080327624646,0.9400077767619344,0.940004037527008,0.9399932042285348,0.939979288782099,0.939956250099659,0.9399368026105339,0.9399387741812439,0.9399438690019994,0.9399489638227548,0.9399540586435102,0.9399591534642657,0.9399642482850212,0.9399710476589905,0.93997557833195,0.9399756482217578,0.9399668060939377,0.939946401837386,0.9399125615218809,0.9399014960341588,0.9399047789195851,0.9399116867419446,0.9399143223248265,0.9399102839322568,0.9398939430190383,0.9398961468817553,0.9399031684142866,0.939910288253389,0.9399174080924915,0.9399229368767386,0.939913880558602,0.9398945969841095,0.9398787987598409,0.9398706167877129,0.939864407383604,0.9398665375636984,0.9398736118303463,0.9398806860969942,0.9398877603636422,0.939894062071413,0.939886591441976,0.9398747057798822,0.9398475514606186,0.9398325203670055,0.9398392998843139,0.9398464105162478,0.9398505416864176,0.9398241708273845,0.939828111323897,0.9398136622518803,0.9398074790005283,0.9397983876015598,0.9397835044990626,0.9397790900028093,0.9397861951565551,0.939793300310301,0.9398004054640466,0.9398072819934402,0.9398109688180059,0.9398077093373691,0.9397965439685732,0.9397764547669583,0.9397695763064964,0.9397657600467053,0.9397728587513676,0.9397798348750547,0.9397863793922436,0.9397748307192327,0.9397639304358874,0.9397505669389679,0.9397533249634713,0.9397501722029729,0.9397384283992545,0.9397305480932263,0.9397284733828719,0.9397352784674109,0.9397420835519499,0.9397182132467108,0.9397009725521992,0.9396822182274184,0.9396828060482858,0.9396898377600936,0.9396968694719015,0.939695952392412,0.9396834521081648,0.9396589100735364,0.9396374524260007,0.9396270002232157,0.9396298835425924,0.9396369756206915,0.9396440676987906,0.9396472312077093,0.9396382841497273,0.9396253191458044,0.9395993705794605,0.9395909706472905,0.9395802309950335,0.9395867988453495,0.9395921997541483,0.9395895235556981,0.9395786221531519,0.9395686820780975,0.9395630697391375,0.9395562945560226,0.9395436487660997,0.9395421022409538,0.9395491879547858,0.9395518207750896,0.9395419659469106,0.9395269684590446,0.9395227146178455,0.9395247487587581,0.9395318339471308,0.9395319614540891,0.9395141507597271,0.9395054789612137,0.9395012795174784,0.9395042461475964,0.9395037402305793,0.9394978096304359,0.9394888704951141,0.9394802867236018,0.9394867953904409,0.9394841232942241,0.9394795556556699,0.9394644020082966,0.9394600328778094,0.9394533781255385,0.9394410731662636,0.9394238698756457,0.9394174488657603,0.9394063864205544,0.9393983551402703,0.9394027069576605,0.9394097846661082,0.9394165635576077,0.9394097740133639,0.9393956058503365,0.9393813182048585,0.9393719742193951,0.9393670686669884,0.9393496925475217,0.9393449487223533,0.9393507965752979,0.9393522543764018,0.9393437219325143,0.9393212087056635,0.9393075348468487,0.9392956755951207,0.9392860283183899,0.9392826435896571,0.9392882590588444,0.9392811700494141,0.9392689305608135,0.9392607882443134,0.9392674659846527,0.9392682760927956,0.9392676175765984,0.9392571356343508,0.939238153180698,0.9392268402326547,0.939218131710049,0.9392149201589663,0.9392212924174916,0.9392235898319228,0.9392099673080034,0.9392003647233549,0.9391957567478726,0.9391958611849244,0.939185286468599,0.9391701381674474,0.9391721107410793,0.9391780088685244,0.9391810400347581,0.9391742269051674,0.9391592215723503,0.9391484495624451,0.9391379328858416,0.9391294316914061,0.9391183946379706,0.9391224043822921,0.9391264141266134,0.9391252101029246,0.9391103374680995,0.9390785135608835,0.9390489917415001,0.9390118878168685,0.9390164503616762,0.9390210666115075,0.9390187346718966,0.9389998451951035,0.9389714234362445,0.9389555246864676,0.9389431249941106,0.9389416458130205,0.9389426523073228,0.9389496071943706,0.9389543309194582,0.9389519710466332,0.938940952565586,0.9389237678890416,0.9389027206483664,0.9388927799294529,0.938888151004702,0.9388952229351051,0.9389022948655081,0.938906645805422,0.9389043791720901,0.9388824074052414,0.9388503810937368,0.9388275547223657,0.938833038458532,0.9388400124530354,0.9388469864475387,0.9388469154371585,0.9388391446251871,0.9388230011182572,0.9387931193288379,0.9387768703333228,0.9387784954949174,0.9387852897914346,0.9387920840879522,0.9387970904088714,0.938793258644449,0.9387761541665646,0.9387588543259574,0.9387459223770768,0.9387306028144591,0.9387248544986619,0.9387316222473385,0.9387309250390024,0.9387038358051993,0.9386751228502774,0.9386416649180956,0.9386401075990625,0.938647126763451,0.9386539498345712,0.9386482272326553,0.9386283377545106,0.9386025775774864,0.9385839307554898,0.9385767297373424,0.9385826038369086,0.9385896752143885,0.9385967465918685,0.9386036476356561,0.9386075130878038,0.9385908887905118,0.9385725328734805,0.9385418300352559,0.9385299049251672,0.938531876926721,0.93851894794162,0.9384938386277464,0.9384778703585591,0.938443793400404,0.9384295930500869,0.9384363391843029,0.9384430853185187,0.9384498314527348,0.9384565775869507,0.9384633237211665,0.938470048960177,0.9384687475352604,0.9384430039332912,0.9384099943503575,0.9383841836976012,0.9383722622336972,0.9383750106033013,0.9383820823356317,0.9383871072738194,0.9383807808774012,0.9383615578432222,0.9383235481187868,0.9382748386096239,0.9382810070575844,0.9382871755055451,0.9382892164998784,0.9382737019361642,0.9382582804631586,0.938257098900849,0.9382612346168968,0.93826536854128,0.938267703086231,0.9382637062368308,0.9382502339232215,0.9382270398890715,0.9381964438108703,0.9381902352086235,0.9381835975486744,0.9381829829439654,0.9381852780906317,0.9381731474216836,0.9381468379873403,0.9381259173377952,0.9381019827590047,0.9381090579309892,0.9381161331029737,0.9381227427508512,0.9381229452024218,0.9380946757089367,0.9380638985346879,0.9380495876303653,0.9380361926250496,0.938033660659854,0.9380405942219767,0.9380465065112615,0.9380497579971852,0.9380468265944021,0.9380246368851095,0.9380041249000504,0.9379907548511279,0.9379781808499843,0.937975748278995,0.9379673166802367,0.9379512076411393,0.9379434069227675,0.9379392146022193,0.9379295685176243,0.9379199899019633,0.9379114455995615,0.9379185193910129,0.9379255931824643,0.9379326667475922,0.9379397375754326,0.9379371166210744,0.9379304484096213,0.9379050857515016,0.9378936596584362,0.9378811378114711,0.937868546093559,0.9378574573506946,0.9378645292637631,0.9378716011768315,0.9378783316287471,0.93786935434925,0.9378561165415576,0.9378324912800708,0.9377977677666123,0.9378030553870628,0.9378058334913728,0.9377981718311654,0.937783405801646,0.9377873704647239,0.9377847992789448,0.9377580720598087,0.937741069666715,0.9377439974029778,0.937750764622846,0.937757531842714,0.937751883282792,0.9377474266630145,0.9377442251951925,0.9377286700099808,0.9377129187044511,0.9376989219476639,0.93770510145637,0.9377018113758491,0.9376934060152402,0.9376788720401825,0.9376594497765058,0.937641562548868,0.9376392610477302,0.9376453234340671,0.9376513858204042,0.9376574482067412,0.9376567600738185,0.937636657609504,0.9376118256444765,0.9376000898562158,0.9375930293390591,0.9375960497395922,0.9376022638002669,0.9376079531033756,0.9376064353128978,0.9375869401295824,0.9375623739515921,0.9375205116956127,0.9375155377443058,0.9375002851400049,0.9375071803014965,0.937514075462988,0.9375204623393534,0.9375130776028198,0.9374945199409803,0.9374726535340819,0.9374697697962572,0.9374598712700719,0.937440356512869,0.9374346201603474,0.9374408989221508,0.937447964035697,0.9374515527573712,0.9374392124256292,0.9374318320442756,0.9374317813402083,0.937425090798949,0.9374164303212456,0.937419444836548,0.9374262646583302,0.9374272754019772,0.937422091093855,0.9374113249777769,0.937382208105333,0.9373440620701683,0.937329053224496,0.9373358774877452,0.9373313840551054,0.9373115365864273,0.9372931630012253,0.9372932091068847,0.9372999446609672,0.9373066802150498,0.937309051409498,0.9373026112137559,0.937298308834501,0.9372778963289923,0.9372535798225385,0.937232938844296,0.9372186243559921,0.9372252125335863,0.9372318007111804,0.9372383888887744,0.9372431123857512,0.9372402285898898,0.9372272817636718,0.9372183985035665,0.9372115705875017,0.9372119049544148,0.9372189551819403,0.9372168066580024,0.9372014529553496,0.9371885351016542,0.9371880003468259,0.9371950516347611,0.9371953958577284,0.9372024500906087,0.9372095043234889,0.9372165585563692,0.9372236127892495,0.9372306670221298,0.9372322739589818,0.9372374292016434,0.9372355199391296,0.9372250132661737,0.937205236649635,0.9371941145620047,0.9371822745236126,0.9371687739711657,0.9371678771006842,0.9371678775322017,0.9371595215430939,0.9371309824168825,0.9371099094401736,0.9371090543201495,0.9371020332235415,0.9371049865563121,0.9371119128152263,0.9371188390741404,0.9371257653330545,0.9371171859113375,0.9371096868818661,0.93711344661933,0.9371201612254079,0.9371027598669877,0.9370896098445645,0.937058801649804,0.9370482831842082,0.9370534536559947,0.9370604906580238,0.9370487785749939,0.9370507757256197,0.937057812730232,0.9370648497348445,0.9370718867394568,0.9370789237440693,0.9370859607486817,0.937092997753294,0.937100033718105,0.9371070593255966,0.937106504136226,0.9371002734938969,0.9370855365810613,0.9370719589071353,0.937076206389264,0.9370816802799911,0.9370871541707179,0.9370808250639171,0.9370638808140527,0.9370511485258126,0.937051389634669,0.9370483448256968,0.9370271747041037,0.9370082001018686,0.9370064487274905,0.9370126427217482,0.9370188367160057,0.9370250307102634,0.9370308469177097,0.9370069454902238,0.936966573330783,0.9369386568809357,0.936928597378232,0.936925633066246,0.9369318450245665,0.9369325554928751,0.9369097688259068,0.9368983582596768,0.9368852425575074,0.936890879698381,0.9368844234058563,0.9368442430705453,0.9368202206879837,0.936801536549643,0.9367962420755704,0.9368023052909142,0.9368055176192385,0.9367971105321216,0.9367774420568188,0.9367593905851475,0.9367428418629935,0.9367234756306104,0.9367121847507467,0.9367165383788911,0.9366979327978161,0.9366739286117011,0.9366628518846454,0.936666630830856,0.9366686455031923,0.936659280854272,0.9366413901382236,0.936623803493347,0.93660804382222,0.9365922405948446,0.9365796469184335,0.9365828563633544,0.9365773306865367,0.9365618509276099,0.9365447698785565,0.936533580399312,0.9365273703346044,0.9365216626870592,0.9364960073023666,0.9364712749182507,0.936460257661776,0.9364672950833537,0.9364743325049316,0.9364747790691631,0.936460984960533,0.9364461737770251,0.9364184045964585,0.9364068707081754,0.9363959910169255,0.936390468367012,0.9363964098447208,0.9364022561353101,0.9364081024258994,0.9364095190728285,0.9363893791413496,0.9363425368109959,0.936306657116045,0.936301452382077,0.9363081739254501,0.9363146695890991,0.9363148150784177,0.9362894499710638,0.9362506234243549,0.9362264761479707,0.9362165631169423,0.9362211196867843,0.9362150676433181,0.9361914683108293,0.9361539500988303,0.9361481465559696,0.9361399463612419,0.9361422193189659,0.9361335537599835,0.9361098630215188,0.9360830351584921,0.9360805829530442,0.9360799843833876,0.9360865388430439,0.9360935149012183,0.9361004909593927,0.9361047093425526,0.9361000003788533,0.9360796200170446,0.9360476708538084,0.9360270492246348,0.9360192082364438,0.935998389285289,0.9359831948730121,0.9359735791496623,0.9359530611356648,0.9359344528167066,0.9359123190970724,0.9358842905839393,0.9358621976186547,0.935836596019423,0.9358313912477296,0.9358161689721736,0.9358082673303079,0.9357915001434791,0.935757519684119,0.9357388339960353,0.9357211791030257,0.9357274497205438,0.9357309559201878,0.9357223069594156,0.9357143720489938,0.935711576599862,0.9357092391616457,0.9356865505869121,0.9356646953035099,0.9356376953600305,0.9356423019628657,0.9356425524230276,0.9356358475868933,0.9356426247237699,0.9356351798740166,0.9356033718854113,0.9355739931570461,0.9355549943223423,0.9355475422124826,0.9355334245331487,0.9355112985802171,0.9355067351254887,0.9354828225597189,0.9354495991365257,0.9354377000837211,0.9354214213221037,0.9354205521820781,0.93541681964984,0.9353953222179152,0.9353802499998313,0.9353659527157061,0.9353620216923872,0.9353283443606987,0.935307169937094,0.9353120631608018,0.9353132071421599,0.9352881339805376,0.9352705938152279,0.9352679171792819,0.9352470454489279,0.9352297175255122,0.9352146780372379,0.9351906549067787,0.9351633707110386,0.9351381791190714,0.935111871499742,0.9350894115551952,0.9350775473052985,0.9350473030135762,0.9350445642633312,0.9350368504536056,0.9350108439051983,0.9349869244348157,0.9349745116237955,0.9349560644082533,0.9349298794002333,0.9349035120052026,0.934895385170281,0.9348703415332349,0.9348434930642144,0.9348175594992075,0.9347934812486238,0.9347572731712801,0.9347267667735465,0.934712197629191,0.934674541120583,0.9346570562860601,0.9346323760195037,0.9346132827595706,0.9346006989390259,0.9345677403861448,0.9345402960651973,0.934508959168686,0.9344909116139445,0.9344729967298644,0.9344493471549071,0.9344266064408047,0.934428314064554,0.9343774901400954,0.9343558996296897,0.934352178256544,0.9343324301517235,0.9343115237673909,0.934288175585413,0.9342447556401065,0.9342179546893674,0.9342091692117503,0.934171529082902,0.9341680887899437,0.9341608511300996,0.9341335602681975,0.9340860983535877,0.9340687227433521,0.9340627965629997,0.9340403333327343,0.9340291514573134,0.9340110705802926,0.9339917771233224,0.9339645808999474,0.9339366727388095,0.9339099903081011,0.9339041916090037,0.9338528979783501,0.933828320249569,0.9338126456742663,0.9337720036944832,0.9337551594890072,0.9337118366844445,0.933705063569729,0.9336769590197076,0.9336534578930846,0.9336303178843565,0.9336134950635117,0.9335985426043635,0.9335880248702084,0.9335818121882687,0.9335728181837917,0.933531143698136,0.9335166529072709,0.9334770354105999,0.9334705867962038,0.9334475895369772,0.9334289136177365,0.9334231663889572,0.9334097270223114,0.9333883082132169,0.9333692705038604,0.9333479672670115,0.9333224061987375,0.9333114173672215,0.9333005529208778,0.933284802390351,0.93325512530265,0.9332377744815903,0.9332179936232184,0.9331914073151353,0.9331546353455437,0.9331618450770751,0.9331575899665975,0.9331363681264264,0.9331255279219206,0.9331157194645499,0.9330918762952738,0.9330724692115261,0.9330452130228093,0.9330100828432938,0.9329885055657754,0.932972931159515,0.932960598101959,0.9329288975949969,0.9328899349342096,0.932864565907245,0.9328536037875739,0.9328317885670838,0.9328257220926064,0.9328175624553353,0.9327946796173816,0.9327449680126636,0.9327042429280508,0.9326832365941354,0.932653558855661,0.9326293867743518,0.9326160309184248,0.9326099758018802,0.9325822605788143,0.9325683615640703,0.9325456956888268,0.9325124590394531,0.9324718515724681,0.9324376403924106,0.932402154443948,0.9323783680974382,0.9323587689954234,0.9323405866819079,0.9323002633803712,0.9322782219581109,0.9322643916728114,0.9322415673255701,0.9322109834882373,0.9321740915803213,0.9321445188686461,0.9321086784476174,0.9320913081199993,0.9320679089691156,0.9320311922036,0.9320142440148329,0.9319904948620584,0.931972176233717,0.9319550857320922,0.9319125679744233,0.931896279079949,0.931881121119604,0.9318625396281023,0.9318228231358673,0.9317779675920207,0.931744145394761,0.9317272344174269,0.9316967423113931,0.9316503195845727,0.9316331589555767,0.9315997930730398,0.9315706006267362,0.9315208652698745,0.9314717995222455,0.9314340159310659,0.9313987799791151,0.9313773274021715,0.9313385921017323,0.9313078609075915,0.9312734817302968,0.9312405777718327,0.9311947668765618,0.9311492799177301,0.9311077372178218,0.9310708900273303,0.9310498509950588,0.9310239299160505,0.9309928810706207,0.930949899575658,0.9309192134518744,0.9308885937681045,0.9308371822479959,0.9307949753068905,0.9307600083099943,0.930717649792598,0.9306717340513404,0.9306311727436377,0.9305864527762928,0.9305557098429245,0.9305233568852989,0.9304900835669012,0.9304469580747166,0.9304049862400201,0.9303545875260291,0.9303238200514121,0.9302848814494638,0.9302389219092534,0.9301931128935609,0.9301429085532492,0.9301004051070627,0.9300638446539621,0.930003594414031,0.9299547540596647,0.9298966505936248,0.9298398770052253,0.9298044392716001,0.9297601263985861,0.9297115256894501,0.9296543644326825,0.929600965094978,0.9295509790416543,0.9295087663188095,0.9294647621141487,0.9294153630630317,0.9293554009637319,0.9292953851414192,0.9292495636498805,0.9291950204004935,0.929131580260949,0.929082622293524,0.9290304523781681,0.9289793594197779,0.9289245518134956,0.9288794731605812,0.9288272798641608,0.9287523524728969,0.9287214215064339,0.9286718477656978,0.9286402106539255,0.9285933866803436,0.9285570961519787,0.9285076922977165,0.9284522670537196,0.9284055233533111,0.9283516722448732,0.9283036437000609,0.9282627562524948,0.9281975376272782,0.9281365646049692,0.9280735890722472,0.9280381467148697,0.9279832845829036,0.9279380747038175,0.9278760039094378,0.9278105197373651,0.927763532053995,0.9277281594322424,0.9276691433197166,0.9276287040799811,0.9275731052908831,0.9275095300638161,0.9274480066137026,0.9273991690498027,0.9273426622325007,0.9272841733930703,0.9272203178077549,0.9271702295054751,0.9271181110118893,0.927054361455631,0.9270037516555509,0.9269494881762088,0.9268880667897781,0.9268351368361791,0.9267640151438616,0.926681864417727,0.9266161603689733,0.9265617280550058,0.9265137612073234,0.9264567228122421,0.9264034427059595,0.9263399231250741,0.9262885022492837,0.9262342836602067,0.9261764384982286,0.9261154209267038,0.9260619728646837,0.9260196552776867,0.925965070762782,0.9259235158235636,0.9258718910437231,0.9258145330292835,0.9257601692292545,0.9257091105099372,0.925659281413064,0.9256091421576036,0.9255376197903233,0.9254712216677451,0.92540818914561,0.9253562059993656,0.9252862826257229,0.9252421108584934,0.9251840845294634,0.9251252293820742,0.9250670550046345,0.9250158732223319,0.9249689346899324,0.924918270822862,0.9248432537961231,0.9247567002914072,0.9246829804761448,0.924605497971966,0.9245433386545105,0.9244752621497665,0.9244175773950573,0.9243548012938139,0.9242898006970438,0.9242073281946187,0.9241273840988572,0.9240396695421422,0.9239639105983197,0.9238975921755825,0.9238327825669694,0.9237817455227819,0.9237122998141463,0.923652447769912,0.9235850650924345,0.9235346779898475,0.9234801798503494,0.92343477569285,0.923381154416844,0.9233086725101911,0.9232318024956649,0.9231677630491366,0.9231192436593718,0.9230695311817736,0.9229952879818613,0.9229293974837299,0.9228645720776842,0.9227907940517105,0.9227252587190514,0.922618599863932,0.9225336581679129,0.9224532657148479,0.922370674623384,0.9222973987477074,0.9222338405871097,0.9221627529645642,0.92208357486609,0.9220089099133126,0.9219445377974469,0.921865603467221,0.9217992694826325,0.921736679168562,0.9216580418366562,0.9215903989118621,0.9215340454267767,0.9214624866973503,0.9213579265373344,0.9212638381018616,0.9212003780220427,0.9211112973129554,0.9210185067260537,0.9209465691090386,0.9208814324830115,0.9207965039397137,0.920702872327706,0.920611154940318,0.9205252481762363,0.9204327896208353,0.9203622427930889,0.9202623214603117,0.9201815448720155,0.9200862166481106,0.9199886779819253,0.9198967639962456,0.9198069423942178,0.9197195845609254,0.9196280058031101,0.9195280303747047,0.9194496452891545,0.9193476778550951,0.9192615395752093,0.9191992354006971,0.9191336306898099,0.9190456621478849,0.9189499532435874,0.9188604000957846,0.9187611245458842,0.9186992098947802,0.9185896540171348,0.9184621681646556,0.9183775380768113,0.9182833855907736,0.918171955314961,0.9180837540840519,0.9179858855291727,0.9179078900209844,0.9178201037520861,0.9177286432660174,0.9176352215006485,0.9175419410995587,0.9174561668491581,0.9173458291872223,0.9172386661854836,0.9171395640717727,0.9170203480340391,0.916906595809583,0.9167942940073533,0.9166832667769547,0.91657996948901,0.916477708544501,0.9163723752387194,0.9162719153178791,0.9161631238997223,0.9160488318986129,0.915936323885496,0.9158111305403556,0.915681650240977,0.9155746848867055,0.9154664485596711,0.9153515951491173,0.9152296233755411,0.915106356890597,0.9150199319760703,0.9149166519132532,0.9147798317810252,0.914676042314827,0.9145485765037202,0.914446768979595,0.9143695474443679,0.9142514203328344,0.9141305083738634,0.9140451707760779,0.9139157669696045,0.9138022884426782,0.9136548930527519,0.9135209949745136,0.9134058728490695,0.9132882437905531,0.9131761345292354,0.9130417066240273,0.9128824488016813,0.9127651994052709,0.9126481631429713,0.912510344550642,0.9124067392003299,0.9122830178025124,0.9121646766378622,0.912022676431399,0.9118734365858254,0.9117649290005274,0.9116485716800333,0.9115269655691365,0.9114111272586551,0.9113067432087686,0.9111857218783905,0.9110212854495345,0.9108902041571929,0.9107525484551584,0.9105999325044165,0.9104414532205392,0.9102894400302335,0.9101688350185482,0.9100023250294069,0.9098477591568985,0.9097016837845048,0.9095597461682732,0.9094477267890715,0.9093433332308719,0.9092228339809733,0.9090825560840221,0.9089286443739925,0.9087864698952681,0.9086146251037175,0.9084319721958775,0.9082618205592737,0.9080932066713825,0.9079184720766349,0.907747435707,0.9075594567075351,0.9073989085026766,0.9072365258191197,0.9070547246853178,0.906873634578893,0.9066376177471014,0.9062815863708886,0.905979570572752,0.9056655023872173,0.9054517761577832,0.9051733469057603,0.9048813614268576,0.9045613611991523,0.9043015143715014,0.904111151180778,0.9038742429780792,0.9036278464550257,0.9034316664652997,0.9031811888219534,0.9029144027846652,0.9026635914850779,0.9023760901734903,0.9022460364381398,0.9019546657352722,0.9017013786280822,0.9016554054237603,0.9014348363989617,0.9012080780878677,0.9020378566615785,0.9017715618540294,0.9015221198529666,0.9012639782193232,0.9022296014826208,0.9020087113794841,0.9017515289939289,0.9016452974315672,0.9009234405799825,0.9012721747914212,0.9008505128321945,0.901371092567862,0.9009776987281555,0.9005002741429492,0.9010487650506004,0.9015189473428294,0.9011480641670925,0.900630770992248,0.9017232564806117,0.9014567077955563,0.9011145370713282,0.9007693075902765,0.9002668997428696,0.9004664757189584,0.9001649459196386,0.899970430009574,0.9002223693503708,0.8997883987812416,0.8993701825049739,0.8998617019273399,0.9003597208815519,0.9004234988773746,0.9001921766765245,0.9002941191178067,0.8999836424850391,0.8996265764954922,0.8990805722321925,0.8997271745363893,0.8989079772125275,0.8994738576335028,0.8991803439267918,0.9001140433021759,0.8998216614642339,0.8995042723159119,0.8990878917492331,0.9000000258974126,0.8996021036889033,0.9002815016864255,0.901015930927527,0.9005956974187276,0.9005649014219479,0.900506579790246,0.9001835298124888,0.8996244249732006,0.9021070368118969,0.9019020221591052,0.9016514703441902,0.9013925105527308,0.9011751131909359,0.9008601743760192,0.9005112051814343,0.9001020123251888,0.8992643913396268,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},{\\\"hoverinfo\\\":\\\"skip\\\",\\\"line\\\":{\\\"color\\\":\\\"rgba(150, 0, 0, 1)\\\",\\\"width\\\":0.0},\\\"mode\\\":\\\"lines\\\",\\\"name\\\":\\\"\\\",\\\"showlegend\\\":false,\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.5,0.5001,0.5002,0.5003,0.5004,0.5005,0.5006,0.5007,0.5008,0.5009,0.501,0.5011,0.5012,0.5013,0.5014,0.5015,0.5016,0.5017,0.5018,0.5019,0.502,0.5021,0.5022,0.5023,0.5024,0.5025,0.5026,0.5027,0.5028,0.5029,0.503,0.5031,0.5032,0.5033,0.5034,0.5035,0.5036,0.5037,0.5038,0.5039,0.504,0.5041,0.5042,0.5043,0.5044,0.5045,0.5046,0.5047,0.5048,0.5049,0.505,0.5051,0.5052,0.5053,0.5054,0.5055,0.5056,0.5057,0.5058,0.5059,0.506,0.5061,0.5062,0.5063,0.5064,0.5065,0.5066,0.5067,0.5068,0.5069,0.507,0.5071,0.5072,0.5073,0.5074,0.5075,0.5076,0.5077,0.5078,0.5079,0.508,0.5081,0.5082,0.5083,0.5084,0.5085,0.5086,0.5087,0.5088,0.5089,0.509,0.5091,0.5092,0.5093,0.5094,0.5095,0.5096,0.5097,0.5098,0.5099,0.51,0.5101,0.5102,0.5103,0.5104,0.5105,0.5106,0.5107,0.5108,0.5109,0.511,0.5111,0.5112,0.5113,0.5114,0.5115,0.5116,0.5117,0.5118,0.5119,0.512,0.5121,0.5122,0.5123,0.5124,0.5125,0.5126,0.5127,0.5128,0.5129,0.513,0.5131,0.5132,0.5133,0.5134,0.5135,0.5136000000000001,0.5137,0.5138,0.5139,0.514,0.5141,0.5142,0.5143,0.5144,0.5145,0.5146,0.5147,0.5148,0.5149,0.515,0.5151,0.5152,0.5153,0.5154,0.5155,0.5156,0.5157,0.5158,0.5159,0.516,0.5161,0.5162,0.5163,0.5164,0.5165,0.5166,0.5167,0.5168,0.5169,0.517,0.5171,0.5172,0.5173,0.5174,0.5175,0.5176,0.5177,0.5178,0.5179,0.518,0.5181,0.5182,0.5183,0.5184,0.5185,0.5186,0.5187,0.5188,0.5189,0.519,0.5191,0.5192,0.5193,0.5194,0.5195,0.5196,0.5197,0.5198,0.5199,0.52,0.5201,0.5202,0.5203,0.5204,0.5205,0.5206,0.5207,0.5208,0.5209,0.521,0.5211,0.5212,0.5213,0.5214,0.5215,0.5216,0.5217,0.5218,0.5219,0.522,0.5221,0.5222,0.5223,0.5224,0.5225,0.5226,0.5227,0.5228,0.5229,0.523,0.5231,0.5232,0.5233,0.5234,0.5235,0.5236,0.5237,0.5238,0.5239,0.524,0.5241,0.5242,0.5243,0.5244,0.5245,0.5246,0.5246999999999999,0.5248,0.5249,0.525,0.5251,0.5252,0.5253,0.5254,0.5255,0.5256,0.5257000000000001,0.5258,0.5259,0.526,0.5261,0.5262,0.5263,0.5264,0.5265,0.5266,0.5267,0.5268,0.5269,0.527,0.5271,0.5272,0.5273,0.5274,0.5275,0.5276,0.5277000000000001,0.5278,0.5279,0.528,0.5281,0.5282,0.5283,0.5284,0.5285,0.5286,0.5287,0.5288,0.5289,0.529,0.5291,0.5292,0.5293,0.5294,0.5295,0.5296,0.5297,0.5298,0.5299,0.53,0.5301,0.5302,0.5303,0.5304,0.5305,0.5306,0.5307,0.5308,0.5309,0.531,0.5311,0.5312,0.5313,0.5314,0.5315,0.5316,0.5317,0.5318,0.5319,0.532,0.5321,0.5322,0.5323,0.5324,0.5325,0.5326,0.5327,0.5328,0.5329,0.533,0.5331,0.5332,0.5333,0.5334,0.5335,0.5336,0.5337,0.5338,0.5339,0.534,0.5341,0.5342,0.5343,0.5344,0.5345,0.5346,0.5347,0.5348,0.5349,0.535,0.5351,0.5352,0.5353,0.5354,0.5355,0.5356,0.5357,0.5358,0.5359,0.536,0.5361,0.5362,0.5363,0.5364,0.5365,0.5366,0.5367,0.5367999999999999,0.5369,0.537,0.5371,0.5372,0.5373,0.5374,0.5375,0.5376,0.5377,0.5378000000000001,0.5379,0.538,0.5381,0.5382,0.5383,0.5384,0.5385,0.5386,0.5387,0.5388,0.5389,0.539,0.5391,0.5392,0.5393,0.5394,0.5395,0.5396,0.5397,0.5398000000000001,0.5399,0.54,0.5401,0.5402,0.5403,0.5404,0.5405,0.5406,0.5407,0.5408,0.5409,0.541,0.5411,0.5412,0.5413,0.5414,0.5415,0.5416,0.5417,0.5418000000000001,0.5419,0.542,0.5421,0.5422,0.5423,0.5424,0.5425,0.5426,0.5427,0.5428,0.5429,0.543,0.5431,0.5432,0.5433,0.5434,0.5435,0.5436,0.5437,0.5438,0.5439,0.544,0.5441,0.5442,0.5443,0.5444,0.5445,0.5446,0.5447,0.5448,0.5449,0.545,0.5451,0.5452,0.5453,0.5454,0.5455,0.5456,0.5457,0.5458,0.5459,0.546,0.5461,0.5462,0.5463,0.5464,0.5465,0.5466,0.5467,0.5468,0.5469,0.547,0.5471,0.5472,0.5473,0.5474,0.5475,0.5476,0.5477,0.5478,0.5479,0.548,0.5481,0.5482,0.5483,0.5484,0.5485,0.5486,0.5487,0.5488,0.5488999999999999,0.549,0.5491,0.5492,0.5493,0.5494,0.5495,0.5496,0.5497,0.5498,0.5499,0.55,0.5501,0.5502,0.5503,0.5504,0.5505,0.5506,0.5507,0.5508,0.5509,0.551,0.5511,0.5512,0.5513,0.5514,0.5515,0.5516,0.5517,0.5518,0.5519000000000001,0.552,0.5521,0.5522,0.5523,0.5524,0.5525,0.5526,0.5527,0.5528,0.5529,0.553,0.5531,0.5532,0.5533,0.5534,0.5535,0.5536,0.5537,0.5538,0.5539000000000001,0.554,0.5541,0.5542,0.5543,0.5544,0.5545,0.5546,0.5547,0.5548,0.5549,0.555,0.5551,0.5552,0.5553,0.5554,0.5555,0.5556,0.5557,0.5558,0.5559000000000001,0.556,0.5561,0.5562,0.5563,0.5564,0.5565,0.5566,0.5567,0.5568,0.5569,0.557,0.5571,0.5572,0.5573,0.5574,0.5575,0.5576,0.5577,0.5578,0.5579,0.558,0.5581,0.5582,0.5583,0.5584,0.5585,0.5586,0.5587,0.5588,0.5589,0.559,0.5591,0.5592,0.5593,0.5594,0.5595,0.5596,0.5597,0.5598,0.5599,0.56,0.5601,0.5602,0.5603,0.5604,0.5605,0.5606,0.5607,0.5608,0.5609,0.561,0.5611,0.5612,0.5613,0.5614,0.5615,0.5616,0.5617,0.5618,0.5619,0.562,0.5621,0.5622,0.5623,0.5624,0.5625,0.5626,0.5627,0.5628,0.5629,0.563,0.5631,0.5632,0.5633,0.5634,0.5635,0.5636,0.5637,0.5638,0.5639,0.5640000000000001,0.5641,0.5642,0.5643,0.5644,0.5645,0.5646,0.5647,0.5648,0.5649,0.565,0.5651,0.5652,0.5653,0.5654,0.5655,0.5656,0.5657,0.5658,0.5659,0.5660000000000001,0.5661,0.5662,0.5663,0.5664,0.5665,0.5666,0.5667,0.5668,0.5669,0.567,0.5671,0.5672,0.5673,0.5674,0.5675,0.5676,0.5677,0.5678,0.5679,0.5680000000000001,0.5681,0.5682,0.5683,0.5684,0.5685,0.5686,0.5687,0.5688,0.5689,0.569,0.5691,0.5692,0.5693,0.5694,0.5695,0.5696,0.5697,0.5698,0.5699,0.5700000000000001,0.5701,0.5702,0.5703,0.5704,0.5705,0.5706,0.5707,0.5708,0.5709,0.571,0.5710999999999999,0.5712,0.5713,0.5714,0.5715,0.5716,0.5717,0.5718,0.5719,0.5720000000000001,0.5721,0.5722,0.5723,0.5724,0.5725,0.5726,0.5727,0.5728,0.5729,0.573,0.5730999999999999,0.5732,0.5733,0.5734,0.5735,0.5736,0.5737,0.5738,0.5739,0.5740000000000001,0.5741,0.5742,0.5743,0.5744,0.5745,0.5746,0.5747,0.5748,0.5749,0.575,0.5751,0.5752,0.5753,0.5754,0.5755,0.5756,0.5757,0.5758,0.5759,0.576,0.5761000000000001,0.5762,0.5763,0.5764,0.5765,0.5766,0.5767,0.5768,0.5769,0.577,0.5771,0.5772,0.5773,0.5774,0.5775,0.5776,0.5777,0.5778,0.5779,0.578,0.5781000000000001,0.5782,0.5783,0.5784,0.5785,0.5786,0.5787,0.5788,0.5789,0.579,0.5791,0.5792,0.5793,0.5794,0.5795,0.5796,0.5797,0.5798,0.5799,0.58,0.5801000000000001,0.5802,0.5803,0.5804,0.5805,0.5806,0.5807,0.5808,0.5809,0.581,0.5811,0.5812,0.5813,0.5814,0.5815,0.5816,0.5817,0.5818,0.5819,0.582,0.5821000000000001,0.5822,0.5823,0.5824,0.5825,0.5826,0.5827,0.5828,0.5829,0.583,0.5831,0.5832,0.5833,0.5834,0.5835,0.5836,0.5837,0.5838,0.5839,0.584,0.5841000000000001,0.5842,0.5843,0.5844,0.5845,0.5846,0.5847,0.5848,0.5849,0.585,0.5851,0.5851999999999999,0.5853,0.5854,0.5855,0.5856,0.5857,0.5858,0.5859,0.586,0.5861000000000001,0.5862,0.5863,0.5864,0.5865,0.5866,0.5867,0.5868,0.5869,0.587,0.5871,0.5871999999999999,0.5873,0.5874,0.5875,0.5876,0.5877,0.5878,0.5879,0.588,0.5881,0.5882000000000001,0.5883,0.5884,0.5885,0.5886,0.5887,0.5888,0.5889,0.589,0.5891,0.5892,0.5893,0.5894,0.5895,0.5896,0.5897,0.5898,0.5899,0.59,0.5901,0.5902000000000001,0.5903,0.5904,0.5905,0.5906,0.5907,0.5908,0.5909,0.591,0.5911,0.5912,0.5913,0.5914,0.5915,0.5916,0.5917,0.5918,0.5919,0.592,0.5921,0.5922000000000001,0.5923,0.5924,0.5925,0.5926,0.5927,0.5928,0.5929,0.593,0.5931,0.5932,0.5933,0.5934,0.5935,0.5936,0.5937,0.5938,0.5939,0.594,0.5941,0.5942000000000001,0.5943,0.5944,0.5945,0.5946,0.5947,0.5948,0.5949,0.595,0.5951,0.5952,0.5953,0.5954,0.5955,0.5956,0.5957,0.5958,0.5959,0.596,0.5961,0.5962000000000001,0.5963,0.5964,0.5965,0.5966,0.5967,0.5968,0.5969,0.597,0.5971,0.5972,0.5973,0.5974,0.5975,0.5976,0.5977,0.5978,0.5979,0.598,0.5981,0.5982000000000001,0.5983,0.5984,0.5985,0.5986,0.5987,0.5988,0.5989,0.599,0.5991,0.5992,0.5992999999999999,0.5994,0.5995,0.5996,0.5997,0.5998,0.5999,0.6,0.6001,0.6002000000000001,0.6003000000000001,0.6004,0.6005,0.6006,0.6007,0.6008,0.6009,0.601,0.6011,0.6012,0.6013,0.6014,0.6015,0.6016,0.6017,0.6018,0.6019,0.602,0.6021,0.6022,0.6023000000000001,0.6024,0.6025,0.6026,0.6027,0.6028,0.6029,0.603,0.6031,0.6032,0.6033,0.6034,0.6035,0.6036,0.6037,0.6038,0.6039,0.604,0.6041,0.6042,0.6043000000000001,0.6044,0.6045,0.6046,0.6047,0.6048,0.6049,0.605,0.6051,0.6052,0.6053,0.6054,0.6055,0.6056,0.6057,0.6058,0.6059,0.606,0.6061,0.6062,0.6063000000000001,0.6064,0.6065,0.6066,0.6067,0.6068,0.6069,0.607,0.6071,0.6072,0.6073,0.6074,0.6075,0.6076,0.6077,0.6078,0.6079,0.608,0.6081,0.6082,0.6083000000000001,0.6084,0.6085,0.6086,0.6087,0.6088,0.6089,0.609,0.6091,0.6092,0.6093,0.6094,0.6095,0.6096,0.6097,0.6098,0.6099,0.61,0.6101,0.6102,0.6103000000000001,0.6104,0.6105,0.6106,0.6107,0.6108,0.6109,0.611,0.6111,0.6112,0.6113,0.6113999999999999,0.6115,0.6116,0.6117,0.6118,0.6119,0.612,0.6121,0.6122,0.6123000000000001,0.6124,0.6125,0.6126,0.6127,0.6128,0.6129,0.613,0.6131,0.6132,0.6133,0.6134,0.6135,0.6136,0.6137,0.6138,0.6139,0.614,0.6141,0.6142,0.6143,0.6144000000000001,0.6145,0.6146,0.6147,0.6148,0.6149,0.615,0.6151,0.6152,0.6153,0.6154,0.6155,0.6156,0.6157,0.6158,0.6159,0.616,0.6161,0.6162,0.6163,0.6164000000000001,0.6165,0.6166,0.6167,0.6168,0.6169,0.617,0.6171,0.6172,0.6173,0.6174,0.6175,0.6176,0.6177,0.6178,0.6179,0.618,0.6181,0.6182,0.6183,0.6184000000000001,0.6185,0.6186,0.6187,0.6188,0.6189,0.619,0.6191,0.6192,0.6193,0.6194,0.6195,0.6196,0.6197,0.6198,0.6199,0.62,0.6201,0.6202,0.6203,0.6204000000000001,0.6205,0.6206,0.6207,0.6208,0.6209,0.621,0.6211,0.6212,0.6213,0.6214,0.6215,0.6216,0.6217,0.6218,0.6219,0.622,0.6221,0.6222,0.6223,0.6224000000000001,0.6225,0.6226,0.6227,0.6228,0.6229,0.623,0.6231,0.6232,0.6233,0.6234,0.6235,0.6236,0.6237,0.6238,0.6239,0.624,0.6241,0.6242,0.6243,0.6244000000000001,0.6245,0.6246,0.6247,0.6248,0.6249,0.625,0.6251,0.6252,0.6253,0.6254,0.6255,0.6256,0.6257,0.6258,0.6259,0.626,0.6261,0.6262,0.6263,0.6264000000000001,0.6265000000000001,0.6266,0.6267,0.6268,0.6269,0.627,0.6271,0.6272,0.6273,0.6274,0.6275,0.6276,0.6277,0.6278,0.6279,0.628,0.6281,0.6282,0.6283,0.6284000000000001,0.6285000000000001,0.6286,0.6287,0.6288,0.6289,0.629,0.6291,0.6292,0.6293,0.6294,0.6295,0.6295999999999999,0.6297,0.6298,0.6299,0.63,0.6301,0.6302,0.6303,0.6304000000000001,0.6305000000000001,0.6306,0.6307,0.6308,0.6309,0.631,0.6311,0.6312,0.6313,0.6314,0.6315,0.6315999999999999,0.6317,0.6318,0.6319,0.632,0.6321,0.6322,0.6323,0.6324000000000001,0.6325000000000001,0.6326,0.6327,0.6328,0.6329,0.633,0.6331,0.6332,0.6333,0.6334,0.6335,0.6335999999999999,0.6337,0.6338,0.6339,0.634,0.6341,0.6342,0.6343,0.6344000000000001,0.6345000000000001,0.6346,0.6347,0.6348,0.6349,0.635,0.6351,0.6352,0.6353,0.6354,0.6355,0.6355999999999999,0.6357,0.6358,0.6359,0.636,0.6361,0.6362,0.6363,0.6364,0.6365000000000001,0.6366,0.6367,0.6368,0.6369,0.637,0.6371,0.6372,0.6373,0.6374,0.6375,0.6376,0.6377,0.6378,0.6379,0.638,0.6381,0.6382,0.6383,0.6384,0.6385000000000001,0.6386000000000001,0.6387,0.6388,0.6389,0.639,0.6391,0.6392,0.6393,0.6394,0.6395,0.6396,0.6397,0.6398,0.6399,0.64,0.6401,0.6402,0.6403,0.6404,0.6405000000000001,0.6406000000000001,0.6407,0.6408,0.6409,0.641,0.6411,0.6412,0.6413,0.6414,0.6415,0.6416,0.6417,0.6418,0.6419,0.642,0.6421,0.6422,0.6423,0.6424,0.6425000000000001,0.6426000000000001,0.6427,0.6428,0.6429,0.643,0.6431,0.6432,0.6433,0.6434,0.6435,0.6436,0.6436999999999999,0.6438,0.6439,0.644,0.6441,0.6442,0.6443,0.6444,0.6445000000000001,0.6446000000000001,0.6447,0.6448,0.6449,0.645,0.6451,0.6452,0.6453,0.6454,0.6455,0.6456,0.6456999999999999,0.6458,0.6459,0.646,0.6461,0.6462,0.6463,0.6464,0.6465000000000001,0.6466000000000001,0.6467,0.6468,0.6469,0.647,0.6471,0.6472,0.6473,0.6474,0.6475,0.6476,0.6476999999999999,0.6478,0.6479,0.648,0.6481,0.6482,0.6483,0.6484,0.6485000000000001,0.6486000000000001,0.6487,0.6488,0.6489,0.649,0.6491,0.6492,0.6493,0.6494,0.6495,0.6496,0.6496999999999999,0.6498,0.6499,0.65,0.6501,0.6502,0.6503,0.6504,0.6505,0.6506000000000001,0.6507000000000001,0.6508,0.6509,0.651,0.6511,0.6512,0.6513,0.6514,0.6515,0.6516,0.6517,0.6518,0.6519,0.652,0.6521,0.6522,0.6523,0.6524,0.6525,0.6526000000000001,0.6527000000000001,0.6528,0.6529,0.653,0.6531,0.6532,0.6533,0.6534,0.6535,0.6536,0.6537,0.6538,0.6539,0.654,0.6541,0.6542,0.6543,0.6544,0.6545,0.6546000000000001,0.6547000000000001,0.6548,0.6549,0.655,0.6551,0.6552,0.6553,0.6554,0.6555,0.6556,0.6557,0.6557999999999999,0.6559,0.656,0.6561,0.6562,0.6563,0.6564,0.6565,0.6566000000000001,0.6567000000000001,0.6568,0.6569,0.657,0.6571,0.6572,0.6573,0.6574,0.6575,0.6576,0.6577,0.6577999999999999,0.6579,0.658,0.6581,0.6582,0.6583,0.6584,0.6585,0.6586000000000001,0.6587000000000001,0.6588,0.6589,0.659,0.6591,0.6592,0.6593,0.6594,0.6595,0.6596,0.6597,0.6597999999999999,0.6599,0.66,0.6601,0.6602,0.6603,0.6604,0.6605,0.6606000000000001,0.6607000000000001,0.6608,0.6609,0.661,0.6611,0.6612,0.6613,0.6614,0.6615,0.6616,0.6617,0.6617999999999999,0.6619,0.662,0.6621,0.6622,0.6623,0.6624,0.6625,0.6626,0.6627000000000001,0.6628000000000001,0.6629,0.663,0.6631,0.6632,0.6633,0.6634,0.6635,0.6636,0.6637,0.6638,0.6639,0.664,0.6641,0.6642,0.6643,0.6644,0.6645,0.6646,0.6647000000000001,0.6648000000000001,0.6649,0.665,0.6651,0.6652,0.6653,0.6654,0.6655,0.6656,0.6657,0.6658,0.6659,0.666,0.6661,0.6662,0.6663,0.6664,0.6665,0.6666,0.6667000000000001,0.6668000000000001,0.6669,0.667,0.6671,0.6672,0.6673,0.6674,0.6675,0.6676,0.6677,0.6678,0.6679,0.668,0.6681,0.6682,0.6683,0.6684,0.6685,0.6686,0.6687000000000001,0.6688000000000001,0.6689,0.669,0.6691,0.6692,0.6693,0.6694,0.6695,0.6696,0.6697,0.6698,0.6698999999999999,0.67,0.6701,0.6702,0.6703,0.6704,0.6705,0.6706,0.6707000000000001,0.6708000000000001,0.6709,0.671,0.6711,0.6712,0.6713,0.6714,0.6715,0.6716,0.6717,0.6718,0.6718999999999999,0.672,0.6721,0.6722,0.6723,0.6724,0.6725,0.6726,0.6727000000000001,0.6728000000000001,0.6729,0.673,0.6731,0.6732,0.6733,0.6734,0.6735,0.6736,0.6737,0.6738,0.6738999999999999,0.674,0.6741,0.6742,0.6743,0.6744,0.6745,0.6746,0.6747000000000001,0.6748000000000001,0.6749,0.675,0.6751,0.6752,0.6753,0.6754,0.6755,0.6756,0.6757,0.6758,0.6759,0.676,0.6761,0.6762,0.6763,0.6764,0.6765,0.6766,0.6767,0.6768000000000001,0.6769000000000001,0.677,0.6771,0.6772,0.6773,0.6774,0.6775,0.6776,0.6777,0.6778,0.6779,0.678,0.6781,0.6782,0.6783,0.6784,0.6785,0.6786,0.6787,0.6788000000000001,0.6789000000000001,0.679,0.6791,0.6792,0.6793,0.6794,0.6795,0.6796,0.6797,0.6798,0.6799,0.68,0.6801,0.6802,0.6803,0.6804,0.6805,0.6806,0.6807,0.6808000000000001,0.6809000000000001,0.681,0.6811,0.6812,0.6813,0.6814,0.6815,0.6816,0.6817,0.6818,0.6819,0.6819999999999999,0.6821,0.6822,0.6823,0.6824,0.6825,0.6826,0.6827,0.6828000000000001,0.6829000000000001,0.683,0.6831,0.6832,0.6833,0.6834,0.6835,0.6836,0.6837,0.6838,0.6839,0.6839999999999999,0.6841,0.6842,0.6843,0.6844,0.6845,0.6846,0.6847,0.6848000000000001,0.6849000000000001,0.685,0.6851,0.6852,0.6853,0.6854,0.6855,0.6856,0.6857,0.6858,0.6859,0.6859999999999999,0.6861,0.6862,0.6863,0.6864,0.6865,0.6866,0.6867,0.6868000000000001,0.6869000000000001,0.687,0.6871,0.6872,0.6873,0.6874,0.6875,0.6876,0.6877,0.6878,0.6879,0.688,0.6881,0.6882,0.6883,0.6884,0.6885,0.6886,0.6887,0.6888,0.6889000000000001,0.6890000000000001,0.6891,0.6892,0.6893,0.6894,0.6895,0.6896,0.6897,0.6898,0.6899,0.69,0.6901,0.6902,0.6903,0.6904,0.6905,0.6906,0.6907,0.6908,0.6909000000000001,0.6910000000000001,0.6911,0.6912,0.6913,0.6914,0.6915,0.6916,0.6917,0.6918,0.6919,0.692,0.6921,0.6922,0.6923,0.6924,0.6925,0.6926,0.6927,0.6928,0.6929000000000001,0.6930000000000001,0.6931,0.6932,0.6933,0.6934,0.6935,0.6936,0.6937,0.6938,0.6939,0.694,0.6941,0.6942,0.6943,0.6944,0.6945,0.6946,0.6947,0.6948,0.6949000000000001,0.6950000000000001,0.6951,0.6952,0.6953,0.6954,0.6955,0.6956,0.6957,0.6958,0.6959,0.696,0.6960999999999999,0.6962,0.6963,0.6964,0.6965,0.6966,0.6967,0.6968,0.6969000000000001,0.6970000000000001,0.6971,0.6972,0.6973,0.6974,0.6975,0.6976,0.6977,0.6978,0.6979,0.698,0.6980999999999999,0.6982,0.6983,0.6984,0.6985,0.6986,0.6987,0.6988,0.6989000000000001,0.6990000000000001,0.6991,0.6992,0.6993,0.6994,0.6995,0.6996,0.6997,0.6998,0.6999,0.7,0.7001,0.7002,0.7003,0.7004,0.7005,0.7006,0.7007,0.7008,0.7009000000000001,0.7010000000000001,0.7011000000000001,0.7012,0.7013,0.7014,0.7015,0.7016,0.7017,0.7018,0.7019,0.702,0.7021,0.7022,0.7023,0.7024,0.7025,0.7026,0.7027,0.7028,0.7029,0.7030000000000001,0.7031000000000001,0.7032,0.7033,0.7034,0.7035,0.7036,0.7037,0.7038,0.7039,0.704,0.7041,0.7042,0.7043,0.7044,0.7045,0.7046,0.7047,0.7048,0.7049,0.7050000000000001,0.7051000000000001,0.7052,0.7053,0.7054,0.7055,0.7056,0.7057,0.7058,0.7059,0.706,0.7061,0.7062,0.7063,0.7064,0.7065,0.7066,0.7067,0.7068,0.7069,0.7070000000000001,0.7071000000000001,0.7072,0.7073,0.7074,0.7075,0.7076,0.7077,0.7078,0.7079,0.708,0.7081,0.7081999999999999,0.7083,0.7084,0.7085,0.7086,0.7087,0.7088,0.7089,0.7090000000000001,0.7091000000000001,0.7092,0.7093,0.7094,0.7095,0.7096,0.7097,0.7098,0.7099,0.71,0.7101,0.7101999999999999,0.7103,0.7104,0.7105,0.7106,0.7107,0.7108,0.7109,0.7110000000000001,0.7111000000000001,0.7112,0.7113,0.7114,0.7115,0.7116,0.7117,0.7118,0.7119,0.712,0.7121,0.7121999999999999,0.7123,0.7124,0.7125,0.7126,0.7127,0.7128,0.7129,0.7130000000000001,0.7131000000000001,0.7132000000000001,0.7133,0.7134,0.7135,0.7136,0.7137,0.7138,0.7139,0.714,0.7141,0.7142,0.7143,0.7144,0.7145,0.7146,0.7147,0.7148,0.7149,0.715,0.7151000000000001,0.7152000000000001,0.7153,0.7154,0.7155,0.7156,0.7157,0.7158,0.7159,0.716,0.7161,0.7162,0.7163,0.7164,0.7165,0.7166,0.7167,0.7168,0.7169,0.717,0.7171000000000001,0.7172000000000001,0.7173,0.7174,0.7175,0.7176,0.7177,0.7178,0.7179,0.718,0.7181,0.7182,0.7183,0.7184,0.7185,0.7186,0.7187,0.7188,0.7189,0.719,0.7191000000000001,0.7192000000000001,0.7193,0.7194,0.7195,0.7196,0.7197,0.7198,0.7199,0.72,0.7201,0.7202,0.7203,0.7204,0.7205,0.7206,0.7207,0.7208,0.7209,0.721,0.7211000000000001,0.7212000000000001,0.7213,0.7214,0.7215,0.7216,0.7217,0.7218,0.7219,0.722,0.7221,0.7222,0.7222999999999999,0.7224,0.7225,0.7226,0.7227,0.7228,0.7229,0.723,0.7231000000000001,0.7232000000000001,0.7233,0.7234,0.7235,0.7236,0.7237,0.7238,0.7239,0.724,0.7241,0.7242,0.7242999999999999,0.7244,0.7245,0.7246,0.7247,0.7248,0.7249,0.725,0.7251000000000001,0.7252000000000001,0.7253000000000001,0.7254,0.7255,0.7256,0.7257,0.7258,0.7259,0.726,0.7261,0.7262,0.7263,0.7264,0.7265,0.7266,0.7267,0.7268,0.7269,0.727,0.7271000000000001,0.7272000000000001,0.7273000000000001,0.7274,0.7275,0.7276,0.7277,0.7278,0.7279,0.728,0.7281,0.7282,0.7283,0.7284,0.7285,0.7286,0.7287,0.7288,0.7289,0.729,0.7291,0.7292000000000001,0.7293000000000001,0.7294,0.7295,0.7296,0.7297,0.7298,0.7299,0.73,0.7301,0.7302,0.7303,0.7304,0.7305,0.7306,0.7307,0.7308,0.7309,0.731,0.7311,0.7312000000000001,0.7313000000000001,0.7314,0.7315,0.7316,0.7317,0.7318,0.7319,0.732,0.7321,0.7322,0.7323,0.7324,0.7325,0.7326,0.7327,0.7328,0.7329,0.733,0.7331,0.7332000000000001,0.7333000000000001,0.7334,0.7335,0.7336,0.7337,0.7338,0.7339,0.734,0.7341,0.7342,0.7343,0.7344,0.7345,0.7346,0.7347,0.7348,0.7349,0.735,0.7351,0.7352000000000001,0.7353000000000001,0.7354,0.7355,0.7356,0.7357,0.7358,0.7359,0.736,0.7361,0.7362,0.7363,0.7363999999999999,0.7365,0.7366,0.7367,0.7368,0.7369,0.737,0.7371,0.7372000000000001,0.7373000000000001,0.7374,0.7375,0.7376,0.7377,0.7378,0.7379,0.738,0.7381,0.7382,0.7383,0.7384,0.7385,0.7386,0.7387,0.7388,0.7389,0.739,0.7391,0.7392000000000001,0.7393000000000001,0.7394000000000001,0.7395,0.7396,0.7397,0.7398,0.7399,0.74,0.7401,0.7402,0.7403,0.7404,0.7405,0.7406,0.7407,0.7408,0.7409,0.741,0.7411,0.7412,0.7413000000000001,0.7414000000000001,0.7415,0.7416,0.7417,0.7418,0.7419,0.742,0.7421,0.7422,0.7423,0.7424,0.7425,0.7426,0.7427,0.7428,0.7429,0.743,0.7431,0.7432,0.7433000000000001,0.7434000000000001,0.7435,0.7436,0.7437,0.7438,0.7439,0.744,0.7441,0.7442,0.7443,0.7444,0.7445,0.7446,0.7447,0.7448,0.7449,0.745,0.7451,0.7452,0.7453000000000001,0.7454000000000001,0.7455,0.7456,0.7457,0.7458,0.7459,0.746,0.7461,0.7462,0.7463,0.7464,0.7465,0.7466,0.7467,0.7468,0.7469,0.747,0.7471,0.7472,0.7473000000000001,0.7474000000000001,0.7475,0.7476,0.7477,0.7478,0.7479,0.748,0.7481,0.7482,0.7483,0.7484,0.7484999999999999,0.7486,0.7487,0.7488,0.7489,0.749,0.7491,0.7492,0.7493000000000001,0.7494000000000001,0.7495,0.7496,0.7497,0.7498,0.7499,0.75,0.7501,0.7502,0.7503,0.7504,0.7505,0.7505999999999999,0.7507,0.7508,0.7509,0.751,0.7511,0.7512000000000001,0.7513000000000001,0.7514000000000001,0.7515000000000001,0.7516,0.7517,0.7518,0.7519,0.752,0.7521,0.7522,0.7523,0.7524,0.7525,0.7525999999999999,0.7527,0.7528,0.7529,0.753,0.7531,0.7532000000000001,0.7533000000000001,0.7534000000000001,0.7535000000000001,0.7536,0.7537,0.7538,0.7539,0.754,0.7541,0.7542,0.7543,0.7544,0.7545,0.7545999999999999,0.7547,0.7548,0.7549,0.755,0.7551,0.7552000000000001,0.7553000000000001,0.7554000000000001,0.7555000000000001,0.7556,0.7557,0.7558,0.7559,0.756,0.7561,0.7562,0.7563,0.7564,0.7565,0.7565999999999999,0.7567,0.7568,0.7569,0.757,0.7571,0.7572000000000001,0.7573000000000001,0.7574000000000001,0.7575000000000001,0.7576,0.7577,0.7578,0.7579,0.758,0.7581,0.7582,0.7583,0.7584,0.7585,0.7585999999999999,0.7586999999999999,0.7588,0.7589,0.759,0.7591,0.7592,0.7593000000000001,0.7594000000000001,0.7595000000000001,0.7596,0.7597,0.7598,0.7599,0.76,0.7601,0.7602,0.7603,0.7604,0.7605,0.7605999999999999,0.7606999999999999,0.7608,0.7609,0.761,0.7611,0.7612,0.7613000000000001,0.7614000000000001,0.7615000000000001,0.7616,0.7617,0.7618,0.7619,0.762,0.7621,0.7622,0.7623,0.7624,0.7625,0.7626,0.7626999999999999,0.7628,0.7629,0.763,0.7631,0.7632,0.7633000000000001,0.7634000000000001,0.7635000000000001,0.7636000000000001,0.7637,0.7638,0.7639,0.764,0.7641,0.7642,0.7643,0.7644,0.7645,0.7646,0.7646999999999999,0.7648,0.7649,0.765,0.7651,0.7652,0.7653000000000001,0.7654000000000001,0.7655000000000001,0.7656000000000001,0.7657,0.7658,0.7659,0.766,0.7661,0.7662,0.7663,0.7664,0.7665,0.7666,0.7666999999999999,0.7668,0.7669,0.767,0.7671,0.7672,0.7673000000000001,0.7674000000000001,0.7675000000000001,0.7676000000000001,0.7677,0.7678,0.7679,0.768,0.7681,0.7682,0.7683,0.7684,0.7685,0.7686,0.7686999999999999,0.7688,0.7689,0.769,0.7691,0.7692,0.7693000000000001,0.7694000000000001,0.7695000000000001,0.7696000000000001,0.7697,0.7698,0.7699,0.77,0.7701,0.7702,0.7703,0.7704,0.7705,0.7706,0.7706999999999999,0.7708,0.7709,0.771,0.7711,0.7712,0.7713,0.7714000000000001,0.7715000000000001,0.7716000000000001,0.7717,0.7718,0.7719,0.772,0.7721,0.7722,0.7723,0.7724,0.7725,0.7726,0.7726999999999999,0.7727999999999999,0.7729,0.773,0.7731,0.7732,0.7733,0.7734000000000001,0.7735000000000001,0.7736000000000001,0.7737,0.7738,0.7739,0.774,0.7741,0.7742,0.7743,0.7744,0.7745,0.7746,0.7746999999999999,0.7747999999999999,0.7749,0.775,0.7751,0.7752,0.7753,0.7754000000000001,0.7755000000000001,0.7756000000000001,0.7757000000000001,0.7758,0.7759,0.776,0.7761,0.7762,0.7763,0.7764,0.7765,0.7766,0.7767,0.7767999999999999,0.7769,0.777,0.7771,0.7772,0.7773,0.7774000000000001,0.7775000000000001,0.7776000000000001,0.7777000000000001,0.7778,0.7779,0.778,0.7781,0.7782,0.7783,0.7784,0.7785,0.7786,0.7787,0.7787999999999999,0.7789,0.779,0.7791,0.7792,0.7793,0.7794000000000001,0.7795000000000001,0.7796000000000001,0.7797000000000001,0.7798,0.7799,0.78,0.7801,0.7802,0.7803,0.7804,0.7805,0.7806,0.7807,0.7807999999999999,0.7809,0.781,0.7811,0.7812,0.7813,0.7814000000000001,0.7815000000000001,0.7816000000000001,0.7817000000000001,0.7818,0.7819,0.782,0.7821,0.7822,0.7823,0.7824,0.7825,0.7826,0.7827,0.7827999999999999,0.7829,0.783,0.7831,0.7832,0.7833,0.7834000000000001,0.7835000000000001,0.7836000000000001,0.7837000000000001,0.7838,0.7839,0.784,0.7841,0.7842,0.7843,0.7844,0.7845,0.7846,0.7847,0.7847999999999999,0.7848999999999999,0.785,0.7851,0.7852,0.7853,0.7854,0.7855000000000001,0.7856000000000001,0.7857000000000001,0.7858,0.7859,0.786,0.7861,0.7862,0.7863,0.7864,0.7865,0.7866,0.7867,0.7867999999999999,0.7868999999999999,0.787,0.7871,0.7872,0.7873,0.7874,0.7875000000000001,0.7876000000000001,0.7877000000000001,0.7878000000000001,0.7879,0.788,0.7881,0.7882,0.7883,0.7884,0.7885,0.7886,0.7887,0.7888,0.7888999999999999,0.789,0.7891,0.7892,0.7893,0.7894,0.7895000000000001,0.7896000000000001,0.7897000000000001,0.7898000000000001,0.7899,0.79,0.7901,0.7902,0.7903,0.7904,0.7905,0.7906,0.7907,0.7908,0.7908999999999999,0.791,0.7911,0.7912,0.7913,0.7914,0.7915000000000001,0.7916000000000001,0.7917000000000001,0.7918000000000001,0.7919,0.792,0.7921,0.7922,0.7923,0.7924,0.7925,0.7926,0.7927,0.7928,0.7928999999999999,0.793,0.7931,0.7932,0.7933,0.7934,0.7935000000000001,0.7936000000000001,0.7937000000000001,0.7938000000000001,0.7939,0.794,0.7941,0.7942,0.7943,0.7944,0.7945,0.7946,0.7947,0.7948,0.7948999999999999,0.795,0.7951,0.7952,0.7953,0.7954,0.7955000000000001,0.7956000000000001,0.7957000000000001,0.7958000000000001,0.7959,0.796,0.7961,0.7962,0.7963,0.7964,0.7965,0.7966,0.7967,0.7968,0.7968999999999999,0.797,0.7971,0.7972,0.7973,0.7974,0.7975,0.7976000000000001,0.7977000000000001,0.7978000000000001,0.7979,0.798,0.7981,0.7982,0.7983,0.7984,0.7985,0.7986,0.7987,0.7988,0.7988999999999999,0.7989999999999999,0.7991,0.7992,0.7993,0.7994,0.7995,0.7996000000000001,0.7997000000000001,0.7998000000000001,0.7999,0.8,0.8001,0.8002,0.8003,0.8004,0.8005,0.8006,0.8007,0.8008,0.8009,0.8009999999999999,0.8011,0.8012,0.8013,0.8014,0.8015,0.8016000000000001,0.8017000000000001,0.8018000000000001,0.8019000000000001,0.802,0.8021,0.8022,0.8023,0.8024,0.8025,0.8026,0.8027,0.8028,0.8029,0.8029999999999999,0.8031,0.8032,0.8033,0.8034,0.8035,0.8036000000000001,0.8037000000000001,0.8038000000000001,0.8039000000000001,0.804,0.8041,0.8042,0.8043,0.8044,0.8045,0.8046,0.8047,0.8048,0.8049,0.8049999999999999,0.8051,0.8052,0.8053,0.8054,0.8055,0.8056000000000001,0.8057000000000001,0.8058000000000001,0.8059000000000001,0.806,0.8061,0.8062,0.8063,0.8064,0.8065,0.8066,0.8067,0.8068,0.8069,0.8069999999999999,0.8071,0.8072,0.8073,0.8074,0.8075,0.8076000000000001,0.8077000000000001,0.8078000000000001,0.8079000000000001,0.808,0.8081,0.8082,0.8083,0.8084,0.8085,0.8086,0.8087,0.8088,0.8089,0.8089999999999999,0.8091,0.8092,0.8093,0.8094,0.8095,0.8096000000000001,0.8097000000000001,0.8098000000000001,0.8099000000000001,0.81,0.8101,0.8102,0.8103,0.8104,0.8105,0.8106,0.8107,0.8108,0.8109,0.8109999999999999,0.8110999999999999,0.8112,0.8113,0.8114,0.8115,0.8116,0.8117000000000001,0.8118000000000001,0.8119000000000001,0.812,0.8121,0.8122,0.8123,0.8124,0.8125,0.8126,0.8127,0.8128,0.8129,0.813,0.8130999999999999,0.8132,0.8133,0.8134,0.8135,0.8136,0.8137000000000001,0.8138000000000001,0.8139000000000001,0.8140000000000001,0.8141,0.8142,0.8143,0.8144,0.8145,0.8146,0.8147,0.8148,0.8149,0.815,0.8150999999999999,0.8152,0.8153,0.8154,0.8155,0.8156,0.8157000000000001,0.8158000000000001,0.8159000000000001,0.8160000000000001,0.8161,0.8162,0.8163,0.8164,0.8165,0.8166,0.8167,0.8168,0.8169,0.817,0.8170999999999999,0.8172,0.8173,0.8174,0.8175,0.8176,0.8177000000000001,0.8178000000000001,0.8179000000000001,0.8180000000000001,0.8181,0.8182,0.8183,0.8184,0.8185,0.8186,0.8187,0.8188,0.8189,0.819,0.8190999999999999,0.8192,0.8193,0.8194,0.8195,0.8196,0.8197000000000001,0.8198000000000001,0.8199000000000001,0.8200000000000001,0.8201,0.8202,0.8203,0.8204,0.8205,0.8206,0.8207,0.8208,0.8209,0.821,0.8210999999999999,0.8212,0.8213,0.8214,0.8215,0.8216,0.8217000000000001,0.8218000000000001,0.8219000000000001,0.8220000000000001,0.8221,0.8222,0.8223,0.8224,0.8225,0.8226,0.8227,0.8228,0.8229,0.823,0.8230999999999999,0.8232,0.8233,0.8234,0.8235,0.8236,0.8237000000000001,0.8238000000000001,0.8239000000000001,0.8240000000000001,0.8241,0.8242,0.8243,0.8244,0.8245,0.8246,0.8247,0.8248,0.8249,0.825,0.8251,0.8251999999999999,0.8253,0.8254,0.8255,0.8256,0.8257,0.8258000000000001,0.8259000000000001,0.8260000000000001,0.8261000000000001,0.8262,0.8263,0.8264,0.8265,0.8266,0.8267,0.8268,0.8269,0.827,0.8271,0.8271999999999999,0.8273,0.8274,0.8275,0.8276,0.8277,0.8278000000000001,0.8279000000000001,0.8280000000000001,0.8281000000000001,0.8282,0.8283,0.8284,0.8285,0.8286,0.8287,0.8288,0.8289,0.829,0.8291,0.8291999999999999,0.8293,0.8294,0.8295,0.8296,0.8297,0.8298000000000001,0.8299000000000001,0.8300000000000001,0.8301000000000001,0.8302,0.8303,0.8304,0.8305,0.8306,0.8307,0.8308,0.8309,0.831,0.8311,0.8311999999999999,0.8313,0.8314,0.8315,0.8316,0.8317,0.8318000000000001,0.8319000000000001,0.8320000000000001,0.8321000000000001,0.8322,0.8323,0.8324,0.8325,0.8326,0.8327,0.8328,0.8329,0.833,0.8331,0.8331999999999999,0.8333,0.8334,0.8335,0.8336,0.8337,0.8338000000000001,0.8339000000000001,0.8340000000000001,0.8341000000000001,0.8342,0.8343,0.8344,0.8345,0.8346,0.8347,0.8348,0.8349,0.835,0.8351,0.8351999999999999,0.8353,0.8354,0.8355,0.8356,0.8357,0.8358000000000001,0.8359000000000001,0.8360000000000001,0.8361000000000001,0.8362,0.8363,0.8364,0.8365,0.8366,0.8367,0.8368,0.8369,0.837,0.8371,0.8371999999999999,0.8372999999999999,0.8374,0.8375,0.8376,0.8377,0.8378,0.8379000000000001,0.8380000000000001,0.8381000000000001,0.8382000000000001,0.8383,0.8384,0.8385,0.8386,0.8387,0.8388,0.8389,0.839,0.8391,0.8392,0.8392999999999999,0.8394,0.8395,0.8396,0.8397,0.8398,0.8399000000000001,0.8400000000000001,0.8401000000000001,0.8402000000000001,0.8403,0.8404,0.8405,0.8406,0.8407,0.8408,0.8409,0.841,0.8411,0.8412,0.8412999999999999,0.8414,0.8415,0.8416,0.8417,0.8418,0.8419000000000001,0.8420000000000001,0.8421000000000001,0.8422000000000001,0.8423,0.8424,0.8425,0.8426,0.8427,0.8428,0.8429,0.843,0.8431,0.8432,0.8432999999999999,0.8434,0.8435,0.8436,0.8437,0.8438,0.8439000000000001,0.8440000000000001,0.8441000000000001,0.8442000000000001,0.8443,0.8444,0.8445,0.8446,0.8447,0.8448,0.8449,0.845,0.8451,0.8452,0.8452999999999999,0.8454,0.8455,0.8456,0.8457,0.8458,0.8459000000000001,0.8460000000000001,0.8461000000000001,0.8462000000000001,0.8463,0.8464,0.8465,0.8466,0.8467,0.8468,0.8469,0.847,0.8471,0.8472,0.8472999999999999,0.8474,0.8475,0.8476,0.8477,0.8478,0.8479000000000001,0.8480000000000001,0.8481000000000001,0.8482000000000001,0.8483,0.8484,0.8485,0.8486,0.8487,0.8488,0.8489,0.849,0.8491,0.8492,0.8492999999999999,0.8494,0.8495,0.8496,0.8497,0.8498,0.8499000000000001,0.8500000000000001,0.8501000000000001,0.8502000000000001,0.8503000000000001,0.8504,0.8505,0.8506,0.8507,0.8508,0.8509,0.851,0.8511,0.8512,0.8513,0.8513999999999999,0.8515,0.8516,0.8517,0.8518,0.8519,0.8520000000000001,0.8521000000000001,0.8522000000000001,0.8523000000000001,0.8524,0.8525,0.8526,0.8527,0.8528,0.8529,0.853,0.8531,0.8532,0.8533,0.8533999999999999,0.8535,0.8536,0.8537,0.8538,0.8539,0.8540000000000001,0.8541000000000001,0.8542000000000001,0.8543000000000001,0.8544,0.8545,0.8546,0.8547,0.8548,0.8549,0.855,0.8551,0.8552,0.8553,0.8553999999999999,0.8555,0.8556,0.8557,0.8558,0.8559,0.8560000000000001,0.8561000000000001,0.8562000000000001,0.8563000000000001,0.8564,0.8565,0.8566,0.8567,0.8568,0.8569,0.857,0.8571,0.8572,0.8573,0.8573999999999999,0.8575,0.8576,0.8577,0.8578,0.8579,0.8580000000000001,0.8581000000000001,0.8582000000000001,0.8583000000000001,0.8584,0.8585,0.8586,0.8587,0.8588,0.8589,0.859,0.8591,0.8592,0.8593,0.8593999999999999,0.8595,0.8596,0.8597,0.8598,0.8599,0.8600000000000001,0.8601000000000001,0.8602000000000001,0.8603000000000001,0.8604,0.8605,0.8606,0.8607,0.8608,0.8609,0.861,0.8611,0.8612,0.8613,0.8613999999999999,0.8615,0.8616,0.8617,0.8618,0.8619,0.8620000000000001,0.8621000000000001,0.8622000000000001,0.8623000000000001,0.8624,0.8625,0.8626,0.8627,0.8628,0.8629,0.863,0.8631,0.8632,0.8633,0.8634,0.8634999999999999,0.8636,0.8637,0.8638,0.8639,0.864,0.8641000000000001,0.8642000000000001,0.8643000000000001,0.8644000000000001,0.8645,0.8646,0.8647,0.8648,0.8649,0.865,0.8651,0.8652,0.8653,0.8654,0.8654999999999999,0.8656,0.8657,0.8658,0.8659,0.866,0.8661000000000001,0.8662000000000001,0.8663000000000001,0.8664000000000001,0.8665,0.8666,0.8667,0.8668,0.8669,0.867,0.8671,0.8672,0.8673,0.8674,0.8674999999999999,0.8676,0.8677,0.8678,0.8679,0.868,0.8681000000000001,0.8682000000000001,0.8683000000000001,0.8684000000000001,0.8685,0.8686,0.8687,0.8688,0.8689,0.869,0.8691,0.8692,0.8693,0.8694,0.8694999999999999,0.8696,0.8697,0.8698,0.8699,0.87,0.8701000000000001,0.8702000000000001,0.8703000000000001,0.8704000000000001,0.8705,0.8706,0.8707,0.8708,0.8709,0.871,0.8711,0.8712,0.8713,0.8714,0.8714999999999999,0.8716,0.8717,0.8718,0.8719,0.872,0.8721000000000001,0.8722000000000001,0.8723000000000001,0.8724000000000001,0.8725,0.8726,0.8727,0.8728,0.8729,0.873,0.8731,0.8732,0.8733,0.8734,0.8734999999999999,0.8736,0.8737,0.8738,0.8739,0.874,0.8741000000000001,0.8742000000000001,0.8743000000000001,0.8744000000000001,0.8745,0.8746,0.8747,0.8748,0.8749,0.875,0.8751,0.8752,0.8753,0.8754,0.8755,0.8756,0.8757,0.8758,0.8759,0.876,0.8761000000000001,0.8762000000000001,0.8763000000000001,0.8764000000000001,0.8765000000000001,0.8766,0.8767,0.8768,0.8769,0.877,0.8771,0.8772,0.8773,0.8774,0.8775,0.8775999999999999,0.8777,0.8778,0.8779,0.878,0.8781,0.8782000000000001,0.8783000000000001,0.8784000000000001,0.8785000000000001,0.8786,0.8787,0.8788,0.8789,0.879,0.8791,0.8792,0.8793,0.8794,0.8795,0.8795999999999999,0.8797,0.8798,0.8799,0.88,0.8801,0.8802000000000001,0.8803000000000001,0.8804000000000001,0.8805000000000001,0.8806,0.8807,0.8808,0.8809,0.881,0.8811,0.8812,0.8813,0.8814,0.8815,0.8815999999999999,0.8817,0.8818,0.8819,0.882,0.8821,0.8822000000000001,0.8823000000000001,0.8824000000000001,0.8825000000000001,0.8826,0.8827,0.8828,0.8829,0.883,0.8831,0.8832,0.8833,0.8834,0.8835,0.8835999999999999,0.8837,0.8838,0.8839,0.884,0.8841,0.8842000000000001,0.8843000000000001,0.8844000000000001,0.8845000000000001,0.8846,0.8847,0.8848,0.8849,0.885,0.8851,0.8852,0.8853,0.8854,0.8855,0.8855999999999999,0.8857,0.8858,0.8859,0.886,0.8861,0.8862000000000001,0.8863000000000001,0.8864000000000001,0.8865000000000001,0.8866,0.8867,0.8868,0.8869,0.887,0.8871,0.8872,0.8873,0.8874,0.8875,0.8876,0.8877,0.8878,0.8879,0.888,0.8881,0.8882000000000001,0.8883000000000001,0.8884000000000001,0.8885000000000001,0.8886000000000001,0.8887,0.8888,0.8889,0.889,0.8891,0.8892,0.8893,0.8894,0.8895,0.8896,0.8897,0.8898,0.8899,0.89,0.8901,0.8902,0.8903000000000001,0.8904000000000001,0.8905000000000001,0.8906000000000001,0.8907,0.8908,0.8909,0.891,0.8911,0.8912,0.8913,0.8914,0.8915,0.8916,0.8916999999999999,0.8918,0.8919,0.892,0.8921,0.8922,0.8923000000000001,0.8924000000000001,0.8925000000000001,0.8926000000000001,0.8927,0.8928,0.8929,0.893,0.8931,0.8932,0.8933,0.8934,0.8935,0.8936,0.8936999999999999,0.8938,0.8939,0.894,0.8941,0.8942,0.8943000000000001,0.8944000000000001,0.8945000000000001,0.8946000000000001,0.8947,0.8948,0.8949,0.895,0.8951,0.8952,0.8953,0.8954,0.8955,0.8956,0.8956999999999999,0.8958,0.8959,0.896,0.8961,0.8962,0.8963000000000001,0.8964000000000001,0.8965000000000001,0.8966000000000001,0.8967,0.8968,0.8969,0.897,0.8971,0.8972,0.8973,0.8974,0.8975,0.8976,0.8976999999999999,0.8978,0.8979,0.898,0.8981,0.8982,0.8983000000000001,0.8984000000000001,0.8985000000000001,0.8986000000000001,0.8987,0.8988,0.8989,0.899,0.8991,0.8992,0.8993,0.8994,0.8995,0.8996,0.8996999999999999,0.8998,0.8999,0.9,0.9001,0.9002,0.9003000000000001,0.9004000000000001,0.9005000000000001,0.9006000000000001,0.9007000000000001,0.9008,0.9009,0.901,0.9011,0.9012,0.9013,0.9014,0.9015,0.9016,0.9017,0.9018,0.9019,0.902,0.9021,0.9022,0.9023000000000001,0.9024000000000001,0.9025000000000001,0.9026000000000001,0.9027000000000001,0.9028,0.9029,0.903,0.9031,0.9032,0.9033,0.9034,0.9035,0.9036,0.9037,0.9037999999999999,0.9039,0.904,0.9041,0.9042,0.9043,0.9044000000000001,0.9045000000000001,0.9046000000000001,0.9047000000000001,0.9048,0.9049,0.905,0.9051,0.9052,0.9053,0.9054,0.9055,0.9056,0.9057,0.9057999999999999,0.9059,0.906,0.9061,0.9062,0.9063,0.9064000000000001,0.9065000000000001,0.9066000000000001,0.9067000000000001,0.9068,0.9069,0.907,0.9071,0.9072,0.9073,0.9074,0.9075,0.9076,0.9077,0.9077999999999999,0.9079,0.908,0.9081,0.9082,0.9083,0.9084000000000001,0.9085000000000001,0.9086000000000001,0.9087000000000001,0.9088,0.9089,0.909,0.9091,0.9092,0.9093,0.9094,0.9095,0.9096,0.9097,0.9097999999999999,0.9099,0.91,0.9101,0.9102,0.9103,0.9104000000000001,0.9105000000000001,0.9106000000000001,0.9107000000000001,0.9108,0.9109,0.911,0.9111,0.9112,0.9113,0.9114,0.9115,0.9116,0.9117,0.9117999999999999,0.9119,0.912,0.9121,0.9122,0.9123,0.9124000000000001,0.9125000000000001,0.9126000000000001,0.9127000000000001,0.9128000000000001,0.9129,0.913,0.9131,0.9132,0.9133,0.9134,0.9135,0.9136,0.9137,0.9138,0.9139,0.914,0.9141,0.9142,0.9143,0.9144000000000001,0.9145000000000001,0.9146000000000001,0.9147000000000001,0.9148000000000001,0.9149,0.915,0.9151,0.9152,0.9153,0.9154,0.9155,0.9156,0.9157,0.9158,0.9159,0.916,0.9161,0.9162,0.9163,0.9164,0.9165000000000001,0.9166000000000001,0.9167000000000001,0.9168000000000001,0.9169,0.917,0.9171,0.9172,0.9173,0.9174,0.9175,0.9176,0.9177,0.9178,0.9178999999999999,0.918,0.9181,0.9182,0.9183,0.9184,0.9185000000000001,0.9186000000000001,0.9187000000000001,0.9188000000000001,0.9189,0.919,0.9191,0.9192,0.9193,0.9194,0.9195,0.9196,0.9197,0.9198,0.9198999999999999,0.92,0.9201,0.9202,0.9203,0.9204,0.9205000000000001,0.9206000000000001,0.9207000000000001,0.9208000000000001,0.9209,0.921,0.9211,0.9212,0.9213,0.9214,0.9215,0.9216,0.9217,0.9218,0.9218999999999999,0.922,0.9221,0.9222,0.9223,0.9224,0.9225000000000001,0.9226000000000001,0.9227000000000001,0.9228000000000001,0.9229,0.923,0.9231,0.9232,0.9233,0.9234,0.9235,0.9236,0.9237,0.9238,0.9238999999999999,0.924,0.9241,0.9242,0.9243,0.9244,0.9245000000000001,0.9246000000000001,0.9247000000000001,0.9248000000000001,0.9249,0.925,0.9251,0.9252,0.9253,0.9254,0.9255,0.9256,0.9257,0.9258,0.9259,0.926,0.9261,0.9262,0.9263,0.9264,0.9265000000000001,0.9266000000000001,0.9267000000000001,0.9268000000000001,0.9269000000000001,0.927,0.9271,0.9272,0.9273,0.9274,0.9275,0.9276,0.9277,0.9278,0.9279,0.928,0.9281,0.9282,0.9283,0.9284,0.9285000000000001,0.9286000000000001,0.9287000000000001,0.9288000000000001,0.9289000000000001,0.929,0.9291,0.9292,0.9293,0.9294,0.9295,0.9296,0.9297,0.9298,0.9299,0.9299999999999999,0.9301,0.9302,0.9303,0.9304,0.9305,0.9306000000000001,0.9307000000000001,0.9308000000000001,0.9309000000000001,0.931,0.9311,0.9312,0.9313,0.9314,0.9315,0.9316,0.9317,0.9318,0.9319,0.9319999999999999,0.9321,0.9322,0.9323,0.9324,0.9325,0.9326000000000001,0.9327000000000001,0.9328000000000001,0.9329000000000001,0.933,0.9331,0.9332,0.9333,0.9334,0.9335,0.9336,0.9337,0.9338,0.9339,0.9339999999999999,0.9341,0.9342,0.9343,0.9344,0.9345,0.9346000000000001,0.9347000000000001,0.9348000000000001,0.9349000000000001,0.935,0.9351,0.9352,0.9353,0.9354,0.9355,0.9356,0.9357,0.9358,0.9359,0.9359999999999999,0.9361,0.9362,0.9363,0.9364,0.9365,0.9366000000000001,0.9367000000000001,0.9368000000000001,0.9369000000000001,0.937,0.9371,0.9372,0.9373,0.9374,0.9375,0.9376,0.9377,0.9378,0.9379,0.938,0.9381,0.9382,0.9383,0.9384,0.9385,0.9386000000000001,0.9387000000000001,0.9388000000000001,0.9389000000000001,0.9390000000000001,0.9391,0.9392,0.9393,0.9394,0.9395,0.9396,0.9397,0.9398,0.9399,0.94,0.9401,0.9402,0.9403,0.9404,0.9405,0.9406000000000001,0.9407000000000001,0.9408000000000001,0.9409000000000001,0.9410000000000001,0.9411,0.9412,0.9413,0.9414,0.9415,0.9416,0.9417,0.9418,0.9419,0.942,0.9421,0.9422,0.9423,0.9424,0.9425,0.9426000000000001,0.9427000000000001,0.9428000000000001,0.9429000000000001,0.9430000000000001,0.9431,0.9432,0.9433,0.9434,0.9435,0.9436,0.9437,0.9438,0.9439,0.944,0.9440999999999999,0.9442,0.9443,0.9444,0.9445,0.9446,0.9447000000000001,0.9448000000000001,0.9449000000000001,0.9450000000000001,0.9451,0.9452,0.9453,0.9454,0.9455,0.9456,0.9457,0.9458,0.9459,0.946,0.9460999999999999,0.9462,0.9463,0.9464,0.9465,0.9466,0.9467000000000001,0.9468000000000001,0.9469000000000001,0.9470000000000001,0.9471,0.9472,0.9473,0.9474,0.9475,0.9476,0.9477,0.9478,0.9479,0.948,0.9480999999999999,0.9482,0.9483,0.9484,0.9485,0.9486,0.9487000000000001,0.9488000000000001,0.9489000000000001,0.9490000000000001,0.9491,0.9492,0.9493,0.9494,0.9495,0.9496,0.9497,0.9498,0.9499,0.95,0.9501,0.9502,0.9503,0.9504,0.9505,0.9506,0.9507000000000001,0.9508000000000001,0.9509000000000001,0.9510000000000001,0.9511000000000001,0.9512,0.9513,0.9514,0.9515,0.9516,0.9517,0.9518,0.9519,0.952,0.9521,0.9522,0.9523,0.9524,0.9525,0.9526,0.9527000000000001,0.9528000000000001,0.9529000000000001,0.9530000000000001,0.9531000000000001,0.9532,0.9533,0.9534,0.9535,0.9536,0.9537,0.9538,0.9539,0.954,0.9541,0.9542,0.9543,0.9544,0.9545,0.9546,0.9547000000000001,0.9548000000000001,0.9549000000000001,0.9550000000000001,0.9551000000000001,0.9552,0.9553,0.9554,0.9555,0.9556,0.9557,0.9558,0.9559,0.956,0.9561,0.9561999999999999,0.9563,0.9564,0.9565,0.9566,0.9567,0.9568000000000001,0.9569000000000001,0.9570000000000001,0.9571000000000001,0.9572,0.9573,0.9574,0.9575,0.9576,0.9577,0.9578,0.9579,0.958,0.9581,0.9581999999999999,0.9583,0.9584,0.9585,0.9586,0.9587,0.9588000000000001,0.9589000000000001,0.9590000000000001,0.9591000000000001,0.9592,0.9593,0.9594,0.9595,0.9596,0.9597,0.9598,0.9599,0.96,0.9601,0.9601999999999999,0.9603,0.9604,0.9605,0.9606,0.9607,0.9608000000000001,0.9609000000000001,0.9610000000000001,0.9611000000000001,0.9612,0.9613,0.9614,0.9615,0.9616,0.9617,0.9618,0.9619,0.962,0.9621,0.9621999999999999,0.9623,0.9624,0.9625,0.9626,0.9627,0.9628000000000001,0.9629000000000001,0.9630000000000001,0.9631000000000001,0.9632000000000001,0.9633,0.9634,0.9635,0.9636,0.9637,0.9638,0.9639,0.964,0.9641,0.9642,0.9643,0.9644,0.9645,0.9646,0.9647,0.9648000000000001,0.9649000000000001,0.9650000000000001,0.9651000000000001,0.9652000000000001,0.9653,0.9654,0.9655,0.9656,0.9657,0.9658,0.9659,0.966,0.9661,0.9662,0.9663,0.9664,0.9665,0.9666,0.9667,0.9668000000000001,0.9669000000000001,0.9670000000000001,0.9671000000000001,0.9672000000000001,0.9673,0.9674,0.9675,0.9676,0.9677,0.9678,0.9679,0.968,0.9681,0.9682,0.9683,0.9684,0.9685,0.9686,0.9687,0.9688000000000001,0.9689000000000001,0.9690000000000001,0.9691000000000001,0.9692000000000001,0.9693,0.9694,0.9695,0.9696,0.9697,0.9698,0.9699,0.97,0.9701,0.9702,0.9702999999999999,0.9704,0.9705,0.9706,0.9707,0.9708,0.9709000000000001,0.9710000000000001,0.9711000000000001,0.9712000000000001,0.9713,0.9714,0.9715,0.9716,0.9717,0.9718,0.9719,0.972,0.9721,0.9722,0.9722999999999999,0.9724,0.9725,0.9726,0.9727,0.9728,0.9729000000000001,0.9730000000000001,0.9731000000000001,0.9732000000000001,0.9733,0.9734,0.9735,0.9736,0.9737,0.9738,0.9739,0.974,0.9741,0.9742,0.9742999999999999,0.9744,0.9745,0.9746,0.9747,0.9748,0.9749000000000001,0.9750000000000001,0.9751000000000001,0.9752000000000001,0.9753000000000001,0.9754,0.9755,0.9756,0.9757,0.9758,0.9759,0.976,0.9761,0.9762,0.9763,0.9764,0.9765,0.9766,0.9767,0.9768,0.9769000000000001,0.9770000000000001,0.9771000000000001,0.9772000000000001,0.9773000000000001,0.9774,0.9775,0.9776,0.9777,0.9778,0.9779,0.978,0.9781,0.9782,0.9783,0.9784,0.9785,0.9786,0.9787,0.9788,0.9789000000000001,0.9790000000000001,0.9791000000000001,0.9792000000000001,0.9793000000000001,0.9794,0.9795,0.9796,0.9797,0.9798,0.9799,0.98,0.9801,0.9802,0.9803,0.9804,0.9805,0.9806,0.9807,0.9808,0.9809000000000001,0.9810000000000001,0.9811000000000001,0.9812000000000001,0.9813000000000001,0.9814,0.9815,0.9816,0.9817,0.9818,0.9819,0.982,0.9821,0.9822,0.9823,0.9823999999999999,0.9825,0.9826,0.9827,0.9828,0.9829,0.9830000000000001,0.9831000000000001,0.9832000000000001,0.9833000000000001,0.9834,0.9835,0.9836,0.9837,0.9838,0.9839,0.984,0.9841,0.9842,0.9843,0.9843999999999999,0.9845,0.9846,0.9847,0.9848,0.9849,0.9850000000000001,0.9851000000000001,0.9852000000000001,0.9853000000000001,0.9854,0.9855,0.9856,0.9857,0.9858,0.9859,0.986,0.9861,0.9862,0.9863,0.9863999999999999,0.9865,0.9866,0.9867,0.9868,0.9869,0.9870000000000001,0.9871000000000001,0.9872000000000001,0.9873000000000001,0.9874,0.9875,0.9876,0.9877,0.9878,0.9879,0.988,0.9881,0.9882,0.9883,0.9884,0.9885,0.9886,0.9887,0.9888,0.9889,0.9890000000000001,0.9891000000000001,0.9892000000000001,0.9893000000000001,0.9894000000000001,0.9895,0.9896,0.9897,0.9898,0.9899,0.99,0.9901,0.9902,0.9903,0.9904,0.9905,0.9906,0.9907,0.9908,0.9909,0.9910000000000001,0.9911000000000001,0.9912000000000001,0.9913000000000001,0.9914000000000001,0.9915,0.9916,0.9917,0.9918,0.9919,0.992,0.9921,0.9922,0.9923,0.9924,0.9925,0.9926,0.9927,0.9928,0.9929,0.9930000000000001,0.9931000000000001,0.9932000000000001,0.9933000000000001,0.9934000000000001,0.9935,0.9936,0.9937,0.9938,0.9939,0.994,0.9941,0.9942,0.9943,0.9944,0.9945,0.9946,0.9947,0.9948,0.9949,0.9950000000000001,0.9951000000000001,0.9952000000000001,0.9953000000000001,0.9954000000000001,0.9955,0.9956,0.9957,0.9958,0.9959,0.996,0.9961,0.9962,0.9963,0.9964,0.9964999999999999,0.9966,0.9967,0.9968,0.9969,0.997,0.9971000000000001,0.9972000000000001,0.9973000000000001,0.9974000000000001,0.9975,0.9976,0.9977,0.9978,0.9979,0.998,0.9981,0.9982,0.9983,0.9984,0.9984999999999999,0.9986,0.9987,0.9988,0.9989,0.999,0.9991000000000001,0.9992000000000001,0.9993000000000001,0.9994000000000001,0.9995,0.9996,0.9997,0.9998,0.9999,1.0],\\\"y\\\":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.9887876870279563,0.9887807197897772,0.9887737525515983,0.9887617449113457,0.9891530457479776,0.9891430453175889,0.9891356192672278,0.9891254269228531,0.9891179369011632,0.9891104468794734,0.9891029568577835,0.9890954668360936,0.9890879768144036,0.9890848429924595,0.9890778198281953,0.989069210891271,0.9890622087271184,0.989055206562966,0.9890482043988134,0.9890412022346609,0.9892903710032931,0.9892837901840952,0.9892692898988431,0.9892626900684887,0.989247715522722,0.9892404374673324,0.9892650735868146,0.9897380290942721,0.9897314923018634,0.9897087501640084,0.989686017801047,0.9896309040718738,0.9896243917166995,0.989601693565866,0.9896108339485404,0.9895887970590973,0.9895759445347605,0.9895689967131927,0.9895620488916247,0.9895286469013367,0.9895084308828203,0.9895014419486639,0.9894811848175591,0.9894476183769174,0.9894405883301728,0.9896341612226609,0.9896156863394046,0.9896086182683784,0.9895958929850518,0.9895884600523139,0.9895813181848097,0.9895743794151053,0.9895674406454009,0.9899627061417798,0.9899384199221951,0.9899312718945695,0.9899122388265126,0.9898928993723723,0.9898732535321484,0.9898594736156193,0.9898392915997496,0.9898251287006161,0.9898107211072904,0.9897960453278788,0.9897746199536641,0.989955990141085,0.9899467165032118,0.9899399328348166,0.9899307687258464,0.9899240215670857,0.989910352144406,0.9898991726912046,0.9898881392765406,0.9898772519004142,0.9898685918719619,0.9898573990553299,0.9898251313120882,0.9898139431596561,0.9898069701998438,0.989795783602145,0.9897935551491477,0.9897863595453116,0.9897724417246072,0.9897584365046754,0.9897511535016122,0.9897438704985491,0.989736587495486,0.9897293044924229,0.9897220214893596,0.9897147384862965,0.9897031717250877,0.9896950106986782,0.9896868496722686,0.9896786886458591,0.9896705276194495,0.9896623665930402,0.9896542055666304,0.989646044540221,0.9896378835138115,0.989629722487402,0.9896215208678484,0.9896132145206825,0.9896015288639852,0.9895934066983143,0.9895860601419872,0.989575473380627,0.9895676871129814,0.9895596251574422,0.9895515632019032,0.9895371874009393,0.9895291589780933,0.9895211305552475,0.9895131021324015,0.9895050737095554,0.9894970452867095,0.9894890168638635,0.9894809884410175,0.9894729600181715,0.9894649315953254,0.9894569031724796,0.9894488747496335,0.9894408463267876,0.9894328179039416,0.9894247894810956,0.9894167610582496,0.9894087326354035,0.9894007042125577,0.9893926757897116,0.9893846473668657,0.9893766189440196,0.9893685905211738,0.9893605620983277,0.9893525336754817,0.9893445052526357,0.9893364768297899,0.9893284484069438,0.9893204199840978,0.9893123915612518,0.9893043631384058,0.9892963347155598,0.9892883062927138,0.9892802778698679,0.9892722494470217,0.9892642210241758,0.9892561926013299,0.9892478254798456,0.9892386400284539,0.9892294545770621,0.9892202691256702,0.9892110836742785,0.9892018982228866,0.9891927127714949,0.9891835273201031,0.9891743418687113,0.9891651564173195,0.9891559709659278,0.9891467855145359,0.9891376000631442,0.9891281580524427,0.9891182743726192,0.9891083906927958,0.9890985070129723,0.989088575224918,0.9890776119155475,0.989066648606177,0.9890556852968064,0.9890447219874359,0.9890337586780653,0.9890227953686948,0.9890118320593242,0.9890008687499536,0.9889899054405833,0.9889789421312127,0.9889679788218422,0.9889570155124716,0.9889458803733024,0.9889340514283268,0.9889222224833513,0.9889103935383757,0.9888985645934003,0.9888867356484248,0.9888749067034492,0.9888630777584737,0.9888512488134982,0.9888394198685226,0.9888275909235471,0.9888157619785716,0.9888039330335963,0.9887921040886207,0.9887802751436452,0.9887684643494645,0.9887572815542938,0.9887460987591228,0.988734915963952,0.988723733168781,0.9887125503736103,0.9887013675784393,0.9886901847832685,0.9886790019880975,0.9886678191929268,0.98865631762619,0.9886440685157987,0.9886318194054075,0.9886196823744973,0.988609146263135,0.9885986101517727,0.9885880740404105,0.9885775379290482,0.9885666970541447,0.9885545453976707,0.9885423937411969,0.9885302420847231,0.9885180904282492,0.9885059387717754,0.9884938080608568,0.988481712137525,0.9884696162141933,0.9884575322901825,0.9884469247916817,0.988436332297598,0.9884254749856749,0.9884138587707576,0.9884022425558402,0.9883906263409228,0.9883790101260055,0.9883673939110882,0.9883557776961708,0.9883441614812534,0.9883325452663361,0.9883209290514188,0.9883093128365015,0.9882976966215841,0.9882860804066667,0.9882744641917494,0.9882628479768321,0.9882512317619147,0.9882396155469972,0.98822799933208,0.9882163858717234,0.9882047743955142,0.988193162919305,0.9881815514430958,0.9881697128273241,0.9881578123894139,0.9881459120285575,0.9881340116677011,0.9881221113068448,0.9881099666663015,0.9880948802848859,0.9880798964186381,0.9880649125523904,0.9880497293877487,0.9880364274244613,0.9880234313026433,0.9880104351808254,0.9879974390590075,0.9879844429371896,0.9879714468153716,0.9879585211913855,0.9879456919595275,0.9879328627276696,0.9879200334958116,0.9879072042639534,0.9878943750320954,0.9878815458002375,0.9878687165683795,0.9878558873365215,0.9878449047188029,0.9878342285206367,0.9878235523224708,0.9878128761243046,0.9878021999261384,0.9877915237279722,0.9877809512994205,0.9877716952744245,0.9877606587833795,0.9877492640089427,0.9877382743989347,0.9877272925519991,0.9877170449726929,0.9877071390332499,0.9876972330938071,0.9876861962586623,0.9876739998156236,0.987661803372585,0.9876496069295466,0.987637410486508,0.9876252140434694,0.9876130176004309,0.9876008211573922,0.9875886247143537,0.9875764282713151,0.9875642318282767,0.9875520353852381,0.9875398389421994,0.9875296821087904,0.9875202992976106,0.9875109164864311,0.9875023594118796,0.9874959274232992,0.9874870522037171,0.987476847397552,0.9874666425913867,0.9874556351828787,0.9874441162549765,0.9874325973270746,0.9874210783991724,0.9874095594712704,0.9873980405433684,0.9873865216154665,0.9873750026875643,0.9873634837596623,0.987351831101861,0.9873400016350704,0.987329183948241,0.9873193404235348,0.9873094968988283,0.987299653374122,0.9872898098494156,0.9872813037830421,0.9872710604676189,0.9872584680288081,0.9872408838355027,0.9872225274477295,0.9872076709397166,0.9871928144317037,0.9871779579236908,0.9871631014156779,0.9871487958996001,0.9871349553047879,0.9871211147099759,0.9871059108464176,0.9870884087903633,0.9870720085793234,0.9870556083682835,0.9870392674838968,0.9870222404327127,0.9870051621695115,0.9869880839063101,0.9869722784744617,0.9869574823476857,0.9869426862209096,0.9869293723084989,0.9869168368262446,0.9869043013439909,0.9868917658617368,0.9868792303794828,0.9868666948972288,0.9868541594149749,0.9868416239327209,0.986829081352729,0.9868164436336597,0.9868022798947984,0.9867874091668672,0.9867719961177137,0.9867524229333076,0.9867341336465861,0.9867167711422514,0.9866994086379168,0.9866820461335823,0.9866646836292479,0.9866473211249132,0.9866337297873284,0.9866204282805924,0.9866071267738561,0.9865895386264376,0.9865705332649846,0.9865515279035317,0.9865341659495046,0.9865181600713298,0.9865021541931551,0.9864861483149803,0.9864701424368055,0.9864541365586308,0.9864373792884658,0.9864232752919068,0.9864107577816272,0.9863981253897893,0.9863855682690188,0.9863744104940372,0.9863632527190556,0.9863515326127785,0.9863363330152306,0.9863206827735547,0.9863050325318787,0.9862893822902028,0.9862737320485269,0.9862580818068509,0.9862407335902437,0.986222149404038,0.9862057142996634,0.9861916384688953,0.9861774737367854,0.9861641624061441,0.9861527971419777,0.9861414318778113,0.9861275834256098,0.986113048236009,0.9860974194957515,0.9860812873177591,0.9860651551397667,0.9860490229617742,0.9860320015412294,0.9860149790088493,0.9860016923724785,0.9859887936161812,0.9859727457183883,0.9859560855374531,0.9859394253565179,0.9859227651755829,0.9859061049946476,0.9858894448137123,0.9858689229224502,0.9858585268703293,0.985848099101435,0.9858368352885482,0.9858244902651025,0.985812145241657,0.9857967349490683,0.9857824635345538,0.9857694931796909,0.9857535794170929,0.9857378718196468,0.9857206875057996,0.9857033718581241,0.9856860562104488,0.9856687405627735,0.9856512923026036,0.9856337487016459,0.9856182225309158,0.9856024262930513,0.9855839743372493,0.9855655128945918,0.9855470514519343,0.9855269598989761,0.9855055994324673,0.9854845863865167,0.9854579301335957,0.9854218674030746,0.9853982910051317,0.9853869488246694,0.9853749270774406,0.9853634439937106,0.9853531304367664,0.9853428168798222,0.9853325033228779,0.9853220684215049,0.9853116446151671,0.9853023017297138,0.9852927990196638,0.985282624234779,0.9852724494498943,0.9852629423597663,0.9852540300332355,0.9852430890665373,0.9852239836775365,0.9852019975764799,0.9851779375876997,0.9851539803910219,0.9851302411115681,0.9850985631123065,0.9850699363421709,0.9850551164125764,0.9850402964829819,0.9850254765533875,0.9850054206145619,0.9849905301341245,0.9849749904814527,0.9849565556733303,0.9849430920355606,0.984929684796726,0.9849162775578915,0.9849028703190569,0.9848875790151106,0.9848718600856271,0.984854710033553,0.9848375227137476,0.9848203353939421,0.9848058787905064,0.9847862830028448,0.9847755201592254,0.9847649093291124,0.9847540079475459,0.9847437635097347,0.9847275181155071,0.9847164652654428,0.98470719753185,0.9846955074403916,0.9846831676184089,0.984670999637485,0.9846561295742141,0.9846363538153352,0.9846166332006887,0.9845980021439142,0.9845836976311049,0.9845687700896901,0.984554301977587,0.9845415230943675,0.9845287442111477,0.9845147659756113,0.9844985995448119,0.9844820995997389,0.9844657687289093,0.9844489942127823,0.9844362642062234,0.984420174107995,0.9844050311486079,0.9843936347270658,0.9843761798440533,0.9843607466378519,0.9843459108793331,0.9843277660676492,0.9843095535134297,0.9842913409592103,0.984273128404991,0.9842601514474776,0.9842471673588968,0.9842334122582181,0.9842168649429627,0.984203223961541,0.9841895829801192,0.9841766782876827,0.9841631154134123,0.984143445821394,0.9841206249728873,0.9840923071204746,0.9840625516599832,0.9840441343912201,0.984030669782751,0.9840155088636453,0.9840003479445398,0.9839840076839387,0.9839671053725549,0.9839502030611713,0.9839345873193339,0.9839134889929191,0.9838899897019737,0.9838707998298957,0.9838571663269023,0.983843762714572,0.9838303138607893,0.9838186836941235,0.9838014459541508,0.9837866765038563,0.9837750600988862,0.9837669145254695,0.9837578017149909,0.9837434412734409,0.983724066378167,0.9836993186264447,0.9836732952520355,0.9836536393622757,0.9836454190671778,0.9836306717657093,0.9836183509960505,0.9836066102991102,0.9835958170974548,0.9835800575713347,0.9835634642633544,0.9835416080303427,0.9835157414441968,0.9834973670966402,0.9834841280364437,0.9834744180350308,0.9834649041688788,0.9834534215033873,0.983440058014057,0.9834268459910444,0.9834115104723692,0.9833956684364156,0.9833773652588614,0.9833600286824247,0.9833426712059282,0.9833133354535142,0.9832800703382427,0.9832645750709652,0.983251118270247,0.9832374583126227,0.9832256510281548,0.9832140198771835,0.9831900949482837,0.9831640445492584,0.9831430515203239,0.9831202974892495,0.9830956320977104,0.9830787022036169,0.9830615994841081,0.983046502420974,0.9830321445718162,0.9830142565391657,0.9829931191784553,0.9829737749895744,0.9829535600075576,0.9829328340487211,0.982912060081909,0.9828936155142409,0.9828753221788011,0.9828588457148575,0.9828489377308153,0.9828304713208802,0.9828107055163232,0.9827941333864965,0.9827773792152703,0.9827591387811371,0.9827431822173776,0.9827290856958176,0.9827141069841976,0.9826987731675689,0.9826775289445016,0.982652051039899,0.9826320178012002,0.9826122211517245,0.9825875451129991,0.9825668429565766,0.9825479410027362,0.9825282925907476,0.982508194053417,0.9824918551835529,0.9824762679884712,0.9824584552799653,0.9824474389176466,0.9824323473848692,0.9824108015017067,0.9823968465068253,0.9823693445817884,0.9823282957576847,0.9823076266577895,0.9822944957843588,0.9822849983011303,0.9822717359127069,0.9822528478593162,0.9822318511984109,0.9822210928531672,0.9822057920792012,0.982178928193639,0.9821591406064383,0.9821455865722906,0.9821286692532725,0.9821137975694237,0.9820993633096026,0.9820867917986589,0.9820705552818059,0.982052455900615,0.9820238154015286,0.9819985178663504,0.9819867233160455,0.9819573060339339,0.981934036875378,0.9819170893472045,0.9818983261762804,0.9818777691880792,0.9818676706718755,0.9818478476520227,0.981821906835481,0.9817999863397455,0.9817869016508218,0.9817787825931135,0.981758020398223,0.9817433043964123,0.9817341806243736,0.9817064608340825,0.981689203300204,0.9816744073550627,0.9816575077672054,0.9816335556035009,0.9816153280697688,0.9815953077678254,0.9815766463795389,0.9815593210368451,0.9815334122130454,0.9815089527041793,0.9814862559081612,0.9814578643627465,0.9814435663998788,0.9814323690665667,0.9814146945693345,0.9813874300419148,0.9813607751553047,0.981345945037096,0.9813205756616065,0.9812964624901707,0.9812710947850518,0.9812500230226857,0.9812320787328386,0.9811984591650798,0.9811763349708333,0.9811665196764744,0.9811500640399076,0.9811324526906623,0.9811178265395679,0.981098222509447,0.9810774213474684,0.9810479907679408,0.9810324679882478,0.9810058206331753,0.9809833163829229,0.9809637025960776,0.9809368637182837,0.9809203301333197,0.980897489620378,0.9808742211867871,0.9808499792074464,0.9808226058928979,0.9808045924798515,0.9807849449976692,0.9807641613510854,0.9807422076039802,0.9807190798775356,0.9807016230375198,0.9806881330513637,0.9806797334100001,0.9806616178193925,0.9806388658939715,0.9806268806480938,0.9806153441917307,0.9805981395572534,0.9805787267729118,0.9805591015033871,0.980536025579003,0.9805078935210927,0.9804793247258515,0.9804518922196187,0.980420386439356,0.9803856962655793,0.9803586752499702,0.9803386735040052,0.980325472756568,0.9803088241576609,0.9802832269265724,0.9802528362607634,0.9802268722507508,0.9802044802257888,0.9801874782177399,0.9801591067653483,0.980133668826626,0.9801198733079428,0.9801018617428643,0.9800661253992902,0.9800393323599064,0.9800172590966464,0.9799989625105248,0.9799781440746231,0.9799635185675595,0.9799531315716081,0.9799291051820243,0.9799090659948131,0.9798872212216856,0.9798655460625771,0.9798377903211095,0.9798153464622267,0.9797907083004067,0.9797720485904315,0.9797491260662059,0.9797073260530362,0.9796842178289924,0.9796591956299328,0.9796309911631278,0.9796095534928944,0.9795567914877684,0.9795244477080911,0.9795048418050578,0.9794890340865737,0.9794693381990314,0.9794488689743499,0.9794247890030549,0.9794053243027474,0.9793929585527436,0.9793744019477157,0.9793557983665742,0.9793335002037713,0.9793042637131799,0.9792730722737638,0.9792503156697039,0.9792185028448165,0.9791929643754316,0.9791642725000734,0.9791445492118792,0.9791195571792861,0.9790905152820304,0.979056791770456,0.9790296549492075,0.9790052700612939,0.9789849505952244,0.9789587082724356,0.9789321225317855,0.9789114680499226,0.978892350721233,0.9788736048610995,0.9788559715769081,0.9788351642545096,0.9788215832063925,0.9788060267072312,0.9787933508257884,0.9787661843251261,0.9787386489870675,0.9787188858578306,0.9786993608720513,0.9786784633973524,0.9786622734122596,0.9786404289588945,0.9786219564956959,0.9786006973419097,0.9785730634765988,0.9785446746347067,0.9785140549399163,0.9784963284330848,0.9784815912178749,0.978455842377087,0.97843704537717,0.9784040333068311,0.9783767899780939,0.9783547004602313,0.9783324272950257,0.978307038285986,0.9782906747801976,0.978264212834546,0.9782347955392606,0.9782064214138613,0.9781817809333238,0.9781580950228256,0.9781263716510449,0.9780996516344229,0.9780714555794179,0.9780489874568449,0.9780127946989445,0.9779838030865255,0.9779640951857809,0.977948286767651,0.9779321331595698,0.9779109598785654,0.9778854531631291,0.9778592739490671,0.9778376682968366,0.9778011893949825,0.9777624189280857,0.9777474619528227,0.9777273004147518,0.9777045578839196,0.977677922602292,0.9776519931230161,0.9776261572922084,0.9775916928318025,0.977569577452472,0.977551124704282,0.977531177010008,0.9775123637889814,0.97749128279326,0.9774602874467835,0.9774233190670654,0.9774071731797762,0.9773812854709281,0.9773336608535099,0.9773055084222532,0.9772845823005896,0.9772611041991126,0.9772343538500751,0.9772004468797226,0.9771675727980744,0.9771389325744139,0.9771137164396908,0.977085969464907,0.9770539057974621,0.9770243519263018,0.976999496242323,0.976974023365116,0.9769377714178308,0.9769199671812328,0.9768919693884994,0.9768712679562053,0.9768470101040756,0.9768207330311399,0.9767899785043926,0.9767655502692674,0.9767438946841446,0.9767094935136442,0.9766920427806097,0.9766568387118088,0.9766343811962692,0.9766050650936665,0.9765856778756822,0.9765640460737997,0.9765498323840378,0.9765363589750335,0.9765233897585921,0.9764967813392007,0.9764611143547757,0.9764282571370313,0.9764099836960116,0.9763927934258706,0.9763701324026921,0.9763336659750772,0.9763105968218568,0.976270837233504,0.976247203478614,0.9762293181284165,0.9762106639989317,0.976187027359612,0.9761655431243031,0.9761416398816604,0.9761183471038561,0.976095440697896,0.9760681306172245,0.9760420023901095,0.9760188796855478,0.9759881130771862,0.9759794831096089,0.975965673177686,0.9759449729386338,0.9759177161695602,0.9758793064972565,0.9758409666097294,0.9758087602839927,0.975783380122276,0.9757555656324622,0.9757191310220952,0.9756740614866751,0.9756456636509354,0.975610271357823,0.9755824439826126,0.9755530223603686,0.9755190827276556,0.9754913100079492,0.9754617753503262,0.975437580713076,0.9754159068581891,0.9753951502713365,0.9753565965023803,0.975328548168187,0.9752876624187923,0.9752558295499139,0.9752265433970386,0.9751956163879143,0.975162867594859,0.9751314726223509,0.9751014602150172,0.9750768933580884,0.9750500748170303,0.9750212635942878,0.9749965446407496,0.9749693624361409,0.9749458920308163,0.9749264005026118,0.9749034069452719,0.9748745742601773,0.9748519900821033,0.9748217238454764,0.9747967309397227,0.9747645200937176,0.9747356419722921,0.9747165274508149,0.9746966058828853,0.9746656567729953,0.9746288941536259,0.9746069554041341,0.9745671618754319,0.9745357028262918,0.9745074908154091,0.9744850420537456,0.9744430061177514,0.974404989291972,0.9743723144126645,0.9743298658078906,0.9742927491508606,0.9742500411864887,0.974226851359902,0.974204511678761,0.9741742970661968,0.9741429559134007,0.9741214977164772,0.9740901329084346,0.9740481937506607,0.9740193783605036,0.973984357387937,0.9739461488614505,0.9739053965432737,0.9738822292434084,0.9738620531710445,0.9738260798024551,0.9737950180214001,0.97376257564706,0.9737336163911231,0.9736976565502597,0.9736557306340797,0.9736140319781725,0.97358560946464,0.9735578775409313,0.9735276771711546,0.9734853590900603,0.9734434235787153,0.9733977836108969,0.9733695560556354,0.9733350063581744,0.9733148201687425,0.973287248676383,0.9732559341139382,0.973220699007193,0.9731857072817104,0.9731371137639611,0.973109487951682,0.973076260044401,0.9730509676316903,0.9730281550517337,0.9729965037663648,0.9729568652705033,0.9729215303394314,0.9728948362208101,0.9728636314617733,0.9728299480489825,0.9727955494951095,0.9727588911897781,0.9727199417442938,0.9726844209499887,0.9726632871427308,0.9726346606591862,0.9726064255098451,0.9725764852960239,0.972545083604673,0.9724940043263275,0.9724596452900669,0.9724298552931472,0.9723981067879663,0.9723727488342637,0.9723425972059625,0.9722999029825662,0.9722561882524442,0.9722157896903025,0.9721875721632781,0.9721702114261788,0.9721530758095247,0.9721359908739298,0.9721035158847097,0.9720570992670283,0.9720009129497273,0.9719636303043722,0.9719364612006056,0.9719091143372531,0.9718726649822391,0.9718351171708206,0.9717987477054677,0.9717518940000234,0.9717075242040609,0.971669313242171,0.9716334739808719,0.9716018005536677,0.9715690253342208,0.9715330027394771,0.9714942263263837,0.9714695425153967,0.9714401221439788,0.9713811694177072,0.9713550581582753,0.9713197338628186,0.9712674144698759,0.9712441656357454,0.9712056203996465,0.971179638053308,0.9711484630683174,0.9710976585919298,0.9710549325841601,0.9710313324011124,0.9710078722152814,0.9709740017803214,0.9709235002710398,0.9708921256925545,0.9708540315958127,0.9708098763389209,0.9707777036476687,0.9707414632656783,0.9707012608377721,0.9706676644197645,0.9706403606395597,0.9706067940727447,0.9705718920690694,0.9705368587821255,0.9704979063784624,0.9704681456237618,0.9704410135320267,0.9703958702462717,0.9703571737093757,0.9703311310999118,0.9702941493244147,0.9702614476825542,0.9702143404940956,0.9701809506925874,0.970148078830082,0.9701115242402568,0.970078915976468,0.9700312198533328,0.9699861724678418,0.9699481539902064,0.9699158264840314,0.9698846626164956,0.9698535296963481,0.969816148252856,0.9697715839079726,0.9697309318747105,0.9696898796831599,0.9696526129900979,0.9695869659863883,0.9695398440161771,0.9695045363508388,0.9694625981115039,0.9694340939400439,0.9694044500378554,0.9693733547011258,0.9693334148567457,0.9692983311662012,0.9692708948692196,0.969249408867254,0.9692168499126566,0.9691960926876703,0.9691568213851077,0.9691114431984137,0.9690744613645859,0.9690422798068036,0.969023000982126,0.9689862930129841,0.968947842098558,0.9689069490726414,0.9688805381642427,0.9688423934560346,0.9688076820892346,0.9687694270617251,0.9687497476397142,0.9687121216665611,0.9686776930329257,0.9686335339222055,0.9685970284166903,0.9685673380040182,0.9685343762635633,0.9684988676583763,0.9684697413964368,0.9684452165784178,0.9684226859968952,0.9683975227021058,0.9683677154250727,0.9683342637389403,0.9682948831847051,0.9682593401395854,0.9682029273917461,0.9681734881890567,0.9681430768677882,0.9681170089796262,0.9680831665745756,0.9680463213719297,0.9680015831859357,0.9679619818040153,0.9679372082297099,0.9678923867784983,0.9678644854718043,0.9678419094329649,0.9678044081025539,0.9677823363250782,0.9677502550802545,0.9677127758512807,0.9676748817880143,0.9676459253071512,0.9676142936455985,0.9675878379831155,0.9675604784714049,0.9675363925356542,0.9675160721229992,0.9674837962155056,0.9674349899703935,0.9673947476146929,0.9673719375566376,0.9673399846259664,0.9673129208555145,0.9672717349437753,0.967231737743741,0.9671966631688687,0.9671574768942632,0.9671171730088226,0.9670701617483535,0.9670375529012962,0.9669722141145796,0.9669200455365713,0.966889891347992,0.9668468935260699,0.9668220594583682,0.9667949028067987,0.9667451612884537,0.9667176828263274,0.9666744783277947,0.966643599282735,0.9666262100720144,0.9665990468364873,0.9665627779978773,0.9665171208455349,0.9664848057728452,0.9664479447432808,0.9664154800800212,0.9663727533738096,0.9663270764497958,0.9662911602980842,0.9662549076921938,0.9662154028573959,0.9661728158187783,0.9661255357444152,0.9660898935374935,0.9660563916295626,0.9660148706205969,0.9659764195486094,0.965944224478948,0.9659022762899443,0.9658559017829524,0.9658039147380516,0.9657563801837724,0.9657195746995639,0.9656751839885205,0.9656189816077734,0.965573143342243,0.9655378477134253,0.9654810934693779,0.9654381779778438,0.9653945851264419,0.9653560718024812,0.9653073527412817,0.9652747300878046,0.965235637290555,0.9651946722167679,0.9651445701338947,0.9650701669838273,0.965023094962856,0.964967094198472,0.9649145794540555,0.9648798675302097,0.9648349975761759,0.9648051788049837,0.9647670130875321,0.9647396329726697,0.964695407392298,0.9646595427835234,0.9646079864067436,0.9645540206959538,0.9645031332809033,0.9644645113205162,0.9644207479281148,0.9643782874364724,0.9643309388715045,0.9642873649313937,0.9642391353044257,0.9641994753049533,0.9641545650149603,0.9640930446092749,0.9640352424013585,0.963980811605217,0.9639437181758006,0.9639128535304464,0.9638774024443197,0.9638298738612542,0.9637837087039312,0.9637439679989621,0.963698108560374,0.9636548810128409,0.9636108145499185,0.9635627517865237,0.9635207299774375,0.9634741972876173,0.9634170779244208,0.9633657809095361,0.963327491578029,0.9632775449799208,0.9632530554994967,0.9632162654902339,0.9631854727711042,0.9631415393885105,0.963100161123831,0.9630517408507011,0.9630256360266881,0.9629932976572737,0.9629531301730558,0.9628978504248478,0.9628656929553584,0.9628325479560065,0.9627863758669111,0.9627388712024609,0.962699374443992,0.962665333262307,0.9626344746014083,0.9625943537490169,0.9625488208714209,0.9625012076796973,0.962440736250103,0.9623747980940425,0.9623142485157143,0.962255173487691,0.9622025971520023,0.9621631863290008,0.9621169420925215,0.9620694063921688,0.9620145745421483,0.9619669834420022,0.9619223665631877,0.9618755451133363,0.9618220687849148,0.9617796872547264,0.9617377930631852,0.9617051798087686,0.961668622428745,0.9616200482670676,0.9615756883933713,0.9615284732183274,0.9614838495146956,0.9614511621063812,0.9614193212276623,0.9613797947247205,0.9613402302240406,0.9612948383544747,0.9612554303674552,0.9612185866673182,0.9611737580186768,0.9611242941239353,0.9610740180372714,0.9610296455838807,0.9609804678583773,0.9609350729078303,0.9608970978954348,0.9608432377245575,0.9608051043606191,0.9607652520745367,0.9607262709850832,0.9606844449670482,0.9606297781910895,0.9605864207345793,0.9605332058041105,0.9604850690217395,0.9604367430653686,0.9603958101068768,0.9603441963986128,0.9602960757688801,0.9602314194762639,0.9601847738914085,0.9601395115947403,0.9601025241244412,0.9600590401324534,0.9600150302287142,0.9599623457006099,0.9599209706346419,0.9598902426346803,0.9598498830968419,0.9598180333409012,0.959785724773557,0.9597256716346381,0.9596815904018426,0.9596459117454401,0.9595982474341038,0.9595503200162177,0.9595064210372677,0.9594639462583718,0.9594212907438363,0.9593692565557814,0.9592953948520524,0.9592599958942392,0.9591901380213369,0.9591456589434202,0.9591090714153199,0.959053889576587,0.9590091577670408,0.9589644558621082,0.9589080986612204,0.9588445747251177,0.9587979900759186,0.9587548265546004,0.958722464162757,0.9586775129376706,0.9586238467557737,0.9585795272875909,0.9585357210698364,0.9584817345878445,0.9584236698590674,0.958365959929121,0.9583118816413113,0.958266959238701,0.9582136282786002,0.9581674217293957,0.9581222040527593,0.9580632998998753,0.958015648987824,0.9579787653941398,0.957939017981329,0.9578906647804231,0.9578498908702249,0.9578176178803135,0.9577795536035114,0.957733080067338,0.9576785580825298,0.9576220797214172,0.9575816145885181,0.957512141828812,0.9574574712550381,0.9574018655847386,0.957357670697154,0.9573112722358064,0.9572666367052349,0.9572216365020524,0.9571832220723002,0.9571435854921606,0.9571032469074676,0.9570639808991594,0.9569936611498864,0.9569026488106899,0.9568472707184266,0.9567964800727857,0.9567478442209565,0.9566896658163866,0.9566285998461532,0.9565957676299853,0.9565579742920804,0.9565156819807599,0.9564988298727188,0.9564579040961025,0.9563926440028603,0.9563163325867104,0.956252532086654,0.9561941563640766,0.9561161266051382,0.9560314788435864,0.9559816760697083,0.9559379552458416,0.9558938317394449,0.9558360528586526,0.9557839502960248,0.9557369970123266,0.9556812408519468,0.9556289102938492,0.9555829732374376,0.9555323593347789,0.9554727869171062,0.955416251214489,0.9553596633005299,0.9553152542425574,0.955267601220595,0.9552301546482618,0.9551877119930492,0.9551201938782681,0.9550595491904702,0.9550006716523791,0.9549599323719031,0.9549181844914314,0.9548831637892018,0.9548313990983361,0.9547603133911419,0.9547091426633986,0.9546621113535656,0.9546104062012011,0.9545400709144052,0.9544572250764829,0.9543715916371642,0.9543015135792948,0.9542540237811705,0.9542062886893817,0.9541488065356657,0.9541024094023292,0.9540567422086084,0.9540102331430109,0.9539546738514577,0.9538761569022867,0.9538116121175911,0.9537672751812984,0.9537250719555637,0.9536788492570087,0.9536064152244743,0.9535400092354627,0.9534830624643652,0.9534229006199643,0.9533685331067976,0.9533156799559486,0.953260281506638,0.9531987604545437,0.9531511177174736,0.9531102905799297,0.953068413652745,0.9529946412824356,0.9529284058241413,0.952875038500026,0.9528241933648343,0.9527644897492922,0.9527133931086432,0.9526675718969069,0.9526093336791668,0.9525389297479057,0.9524613434842131,0.9524100029585982,0.952375685169953,0.9523183067347176,0.9522651690209095,0.9521911452613344,0.9521302762804749,0.9520792308039665,0.952020028618044,0.9519608204720322,0.9519076781337831,0.9518367497771143,0.9517645285829559,0.9517133604172054,0.951659091877264,0.9515742872915365,0.9515123135246939,0.9514512659095082,0.9514076181637443,0.9513401797682044,0.9512924263084268,0.9512330755895004,0.951170527376264,0.9511116955605154,0.9510404079558166,0.9509820287588799,0.950925735042484,0.9508701618332256,0.9508146066747711,0.9507600572560215,0.9506980990656617,0.9506415825340191,0.9506034968344879,0.9505585050150015,0.9504893641147221,0.9504368014885145,0.9503896515436849,0.9503198383960538,0.9502600587778567,0.9502123732534635,0.9501584948185229,0.9501008330957075,0.9500345033613343,0.9499670294569298,0.9498989907984319,0.9498340040026001,0.949776081300201,0.9497071877264398,0.9496512024816511,0.9495817601738027,0.9495128040143181,0.9494638924766531,0.94940209246135,0.9493367610886665,0.9492696829092566,0.9492200131988839,0.9491631348445008,0.9491077713680616,0.9490494662517577,0.9489879512639672,0.9489188641891587,0.94887176954134,0.9488208308359148,0.948766105709022,0.948701305003393,0.9486294742288043,0.9485732674679126,0.9485038171164863,0.9484231648028488,0.9483419209683133,0.9482791744894725,0.9482264556522785,0.948164482097598,0.9480925799381701,0.9480346716218394,0.9479499788925081,0.9478793159086529,0.9478142432345713,0.9477512607500034,0.9477032723182004,0.9476390028892416,0.9475800112282924,0.9475288902916935,0.9474581010132286,0.9473841082829287,0.9473160486420384,0.9472514208674097,0.9471862577850396,0.9471181591997475,0.9470430510427855,0.9469717105664869,0.9469131844675069,0.9468536655063859,0.9467928091585027,0.9467255365767413,0.9466574739159674,0.9465837316982443,0.9465198705305976,0.9464401257956025,0.946378106131027,0.9463159261320604,0.9462746926202578,0.9462204478031914,0.9461576979225639,0.9461012440578739,0.9460532897436842,0.9459918996345961,0.9459269115701094,0.9458651088894146,0.945798713609474,0.9457147602670177,0.9456249963076108,0.9455639826450366,0.9455178595647585,0.9454499911663177,0.9453743258137548,0.9453137182524509,0.9452490496642776,0.9451807948140346,0.9451165738586524,0.945049149706294,0.9449755767937061,0.9449165736161144,0.9448762415275396,0.9448225617144046,0.9447525733943408,0.9446772301155967,0.9445884763019865,0.9445194950107614,0.9444589537863111,0.9443887495823464,0.9443066902325536,0.9442400847249264,0.944172372396139,0.9441098659310228,0.944052945317029,0.943972419090113,0.9439047377165302,0.9438247170171989,0.9437524628811665,0.9436866995417492,0.9436337243157948,0.9435852253081609,0.9435167953954496,0.9434409003330209,0.9433626599835863,0.9433043488539048,0.9432643949158901,0.9431960314885752,0.9431005606049778,0.9430194909778603,0.9429293592196397,0.9428665341990379,0.9428027031815395,0.9427402165491479,0.9426783193500949,0.9426266900913955,0.9425575866640397,0.9424653382981082,0.9423734892918796,0.9423081925043351,0.9422237950163507,0.9421564558582955,0.9420769368159383,0.9419934415898443,0.9419127888379595,0.9418396628116357,0.9417653443416156,0.9417086971001161,0.9416486367531897,0.9415715838352219,0.941513664811063,0.941458156512577,0.941400992619313,0.94131633658685,0.9412493441316074,0.9411831640454507,0.9411159966769623,0.9410335950388691,0.9409612117136752,0.9408980385995509,0.940827000810569,0.9407612192480633,0.9406837579691966,0.9406037643029823,0.9404937654918477,0.9403931362634179,0.9403216171505645,0.940227668034588,0.9401544349706341,0.9400816426005663,0.939975631002054,0.9398909852615918,0.939809668584964,0.9397264606475565,0.9396420725684214,0.9395647791418458,0.9394925204051592,0.9394122514774539,0.9393292406023324,0.9392520976345062,0.9391583050693937,0.9390945145060922,0.9390376951813932,0.9389555277715618,0.9388533267309606,0.9387715527032093,0.9386886300658585,0.9386221437819771,0.9385519634314685,0.938478390488887,0.9384011612706014,0.9383427043797581,0.9382553226609527,0.9381802650504243,0.9381100541269286,0.9380249957593074,0.9379303564579401,0.9378567696552605,0.937777924622604,0.9376905402247351,0.9376225150837783,0.9375577514244808,0.9374828457360425,0.9373986605448614,0.9373224394523603,0.9372579958490505,0.9371951089920794,0.9371271076283259,0.9370438684022115,0.9369600175349214,0.9368840123686137,0.9367976174130495,0.9366998688621354,0.9366113432130854,0.936544570735431,0.9364773933559521,0.936381177309985,0.9362739170587699,0.9361715513074416,0.9360800488239873,0.9359898406812515,0.9358826591728859,0.9357887277803257,0.9356816422112046,0.9355517119102043,0.9354599462434623,0.9353729836046834,0.9352885049707353,0.9352077594980792,0.9351239546268355,0.935021374545995,0.9349016632365561,0.9348045040647561,0.9347237994844539,0.9346278475879024,0.9345550021039413,0.9344501987250191,0.9343514443754178,0.9342524667934556,0.9341792670980144,0.9341028737865348,0.9339961801146307,0.933923026431326,0.9338472455315573,0.9337388520380951,0.9336398667907896,0.9335628491279586,0.9334784415791282,0.9333653363486004,0.9332648580762049,0.9331721648970837,0.9330501175871289,0.9329400865540043,0.9328355244837063,0.9327549545740399,0.932665760444769,0.9325555064497014,0.9324501467569626,0.932358539089953,0.9322628058906972,0.9321636113319294,0.9320658748653385,0.9319830101780766,0.9318958204318437,0.9317748499280017,0.9316636051168923,0.9315687796194603,0.9314913915420892,0.9314177790584389,0.9313318493360054,0.9312322248219012,0.9311275724607113,0.9310098203344659,0.9309161378154198,0.9308291784663767,0.9307248316826482,0.9306177462157454,0.9305201478854712,0.9304309199818195,0.930344052002044,0.9302558415117128,0.9301665947553901,0.9300479581148053,0.9299634743265304,0.9298722293360677,0.9297758363127255,0.9296811562656666,0.929586865351516,0.9294967424063751,0.92939564312989,0.9293068791141866,0.9292238991035118,0.9291440041510324,0.9290604397365175,0.9289606760246227,0.9288685074380769,0.9287595090509759,0.9286473238614144,0.9285533476010687,0.9284500885689828,0.9283355639851273,0.9281959073688935,0.928114749470484,0.9280483382152653,0.9279522994464221,0.9278586292922626,0.9277385710007393,0.9276139725115264,0.9274910601874176,0.9273952766062152,0.9273045872429462,0.9271865758992609,0.9270816967687681,0.9269715257345674,0.9268731137471571,0.9267655064301275,0.9266506754997574,0.926527701704507,0.926411491490313,0.9262957807535359,0.9262021038903527,0.9261150027905298,0.926011598310005,0.9258938769512675,0.9257719838515857,0.9256866712463987,0.9255763784738112,0.9254720256697453,0.9253763491757439,0.925280167463598,0.9251842803378616,0.9250761631159408,0.9249675378284195,0.9248294569851649,0.9247308254491753,0.9246068678024049,0.9244818502914656,0.9243415313753325,0.9242427874451696,0.9241303368347132,0.9240422441639624,0.9239310873395349,0.9238325141550472,0.9237287587956416,0.9236469652947997,0.9235582975163257,0.9234464718703206,0.923344313669852,0.9232184343035236,0.9231013189879411,0.922997302542609,0.9228939237126631,0.9227878671663328,0.9226611556553961,0.9225552376276389,0.922462562528063,0.9223582327968941,0.9222540257941021,0.9221257366149306,0.9219715341413419,0.9218239884381823,0.9217356287461249,0.9216145612740632,0.9214923357066107,0.9214015006742875,0.9213015415604634,0.9211625110592467,0.9210363935818413,0.9209259678793911,0.9208365966489557,0.9207121942270486,0.9205743999805109,0.9204692616330947,0.9203655740181023,0.9202437228684359,0.9201362464985683,0.9200424638601448,0.9199431598686683,0.919838480972323,0.9197360986578808,0.9196349839674471,0.919522725805568,0.9194206965925809,0.9193139982918148,0.9192103266031835,0.9191096453544734,0.9189947320591463,0.9188779289562061,0.9187775201629492,0.9186712651927215,0.9185680736677957,0.9184489460204558,0.9183210964671373,0.9181850812561803,0.9180411127782759,0.9179133194920253,0.9177703087239473,0.9176308949455625,0.9174862582615151,0.917350294893625,0.9172186313013923,0.9170934580774532,0.9169877845000705,0.9168827729038928,0.9167949444245008,0.916688212608681,0.9165782488653057,0.9164629268677126,0.9163300179041962,0.9161987736812411,0.9160708557558468,0.9159618614734948,0.9158468174593136,0.9157266258740943,0.9155819083440286,0.9154624474067757,0.9153244039394607,0.9151950932348323,0.9150590931761534,0.9149312984588579,0.9148339484808627,0.914659451334403,0.914527951728499,0.914380654549616,0.9142484010597782,0.9140879392746073,0.9139525452675614,0.9138185709506634,0.9136953776854699,0.9135584871868672,0.9134447213076884,0.9133105850194176,0.9131552439957007,0.9129634221682654,0.9128436930650099,0.9127036401937636,0.9125583900874453,0.9124274179935963,0.9123119654418645,0.9122107801441639,0.9120991269942493,0.9119788989222615,0.9118231580466776,0.9116511026046685,0.9115213528595486,0.911373327362226,0.9112262814638354,0.9110958136469619,0.9109416478217993,0.9108275712719174,0.9106702266654654,0.9104917355733781,0.9103268645158171,0.910176444952423,0.9100367353082575,0.9098876381169765,0.9097057306779364,0.9095468224996557,0.9094112479321561,0.9092714146206295,0.9091385753370491,0.9089760127137916,0.9088343013157636,0.9087259203106441,0.908578914713646,0.908422363424771,0.9082941981957742,0.9081814964290085,0.9080623653259278,0.9079045078315218,0.907745824796433,0.9075981692359231,0.9074360613451335,0.9072583179134388,0.9071273464712459,0.9069732783701344,0.9068213808321666,0.9066283353873207,0.9064282913692743,0.9062383181808983,0.9061103678410319,0.9059299042143292,0.9057687104020475,0.9055737837583295,0.9054391890425073,0.9052984959646448,0.9051426370369338,0.9049678398860457,0.9047935081900778,0.9046289827836982,0.9044457520714804,0.9042817461339443,0.9041122721405032,0.9040085934001589,0.903882139602294,0.9037369094037669,0.9035925609502234,0.9034529778770394,0.9032606591834736,0.9030827429625707,0.9029152499023162,0.9027778092164918,0.9026508955121648,0.902474146234854,0.9023103333847597,0.9021815123855184,0.9020331917576633,0.9018468826347483,0.9016612829373813,0.9015087337550447,0.9013812490012965,0.9012210207004858,0.9010510025729682,0.9008921381629154,0.9007383889026053,0.9005531442664833,0.9003596652505839,0.9001753215676536,0.9000133286306082,0.8998417762737869,0.8996628910705674,0.8995255762929437,0.8993909169335275,0.8992312610660507,0.8990720123941817,0.8989167541394665,0.8987712761339607,0.8986361971931173,0.8984679979944007,0.8983466448513739,0.8981733189351504,0.8980096928765229,0.897857884054443,0.8977082135151404,0.8975612822998353,0.8974028035688133,0.8972289690876925,0.8970261097812333,0.8968514490196839,0.8966512864809635,0.8964929905355369,0.8963325292855264,0.8961739864412501,0.8960305180890981,0.8958625902681636,0.8956612923268517,0.8954671929103422,0.895279996145499,0.895103956910545,0.8949245487955201,0.8947348582988885,0.8945731472839012,0.8943674467023652,0.8941664341860021,0.8939113504947185,0.8937204489042347,0.8934952041965971,0.8932672808699036,0.8930308475301647,0.8927967522543849,0.8925377757518151,0.8923216363918465,0.8920677898596201,0.8918849063449725,0.8916753087720564,0.8914539345203544,0.8912712891109491,0.8910194550566344,0.8908009175607174,0.8906346735497361,0.8904303145012769,0.8902107553332397,0.8900518328560414,0.8898332434215241,0.8896141270273445,0.8893952662516313,0.8892167424313439,0.8889968567679418,0.8887793890116675,0.8885581179947137,0.8883317637561834,0.8880745285849949,0.8877946743329936,0.8875232304132642,0.8872834099998702,0.8870842593167239,0.8868488694460125,0.8866293339573719,0.8864400265940704,0.8862453425953267,0.8860138016374831,0.8858140243858277,0.8856236025877646,0.8853762884311613,0.8851493252906539,0.8849321013061854,0.8847124469338733,0.8844797970853142,0.884255346504192,0.8839836084536676,0.8837381168618361,0.88356121318628,0.8834265925590115,0.8832494834438354,0.8830666519523614,0.8828394244099418,0.8826269946308988,0.8824084097026166,0.8821649754130343,0.8819520369239203,0.8817283369045119,0.8814758307634529,0.881221550307439,0.8810047217338492,0.8807219689039045,0.8804785550221772,0.8802570410395054,0.8800324539567763,0.879765920359375,0.8795266684394769,0.8792789993570291,0.879051860216719,0.8788104896266424,0.8785761662177547,0.8783133795547179,0.8781202999456849,0.8778824662089615,0.8776604710006425,0.8774558975586131,0.8772301845103542,0.8769768436288914,0.876735577886913,0.8764779387722399,0.8762526894351692,0.8760378978108941,0.8758137011959474,0.8755736663991865,0.875293438841155,0.8750362347077003,0.8748010370343795,0.87455368398344,0.8743267891116782,0.8741249317380968,0.8739072534110748,0.873660847897386,0.8734224295402317,0.8731298652683764,0.8728983180598469,0.8726384219093727,0.8724192706399867,0.8721622202368133,0.8719049576743083,0.8716832931243494,0.8713976232195281,0.8711707751996851,0.8709087874640786,0.8706662353020536,0.8704036225124342,0.8701739264209076,0.8698942568628741,0.869626711174941,0.869380464649504,0.8691235322079909,0.8689227075705155,0.8686717456879605,0.86836884485831,0.8681285070386537,0.8678617954655797,0.8676255221699994,0.8674179337975987,0.86711046202672,0.8668986216135988,0.8666646798431381,0.8664047378893318,0.8661425975657153,0.865881582226405,0.8655795340731327,0.8653015554827538,0.865059463693274,0.8648277563168273,0.8645355962173236,0.8642431894001819,0.8639507478376209,0.8636779816780775,0.8633357004550426,0.8630570015034837,0.8627148789383288,0.8624405648905111,0.8622116086252384,0.8619631280343611,0.8617227318150172,0.8614723788707441,0.8612409288946776,0.861020299093519,0.8607132758926381,0.86041201485003,0.8601289799005398,0.8598686529854722,0.8596321949064509,0.8593638827722309,0.8591141947561839,0.8588734457610929,0.8585738890243887,0.8582462830571478,0.8579415662886358,0.857635758529375,0.8573527113298022,0.8570338721776892,0.8567190899897612,0.8564713451677565,0.8561992326289631,0.8559601055633279,0.8556832862451887,0.8554076586173496,0.8551124997734727,0.8547624136768649,0.8544926372544299,0.8542412251872972,0.8539372732316266,0.8536232537708754,0.8533365194932555,0.853108077317771,0.8528854465330256,0.8525579300817445,0.8521945470160838,0.8518305299510258,0.8515255304336715,0.8511874820714342,0.8508804891893178,0.8504968717612265,0.8501348868420197,0.8498354348216761,0.8495266531782261,0.8491633604829372,0.8487902790358008,0.84834599991447,0.8480444912876813,0.8476904212231425,0.8473876653316068,0.847093690309748,0.8467874355285809,0.8464739322817262,0.8461160630949517,0.8457779156833852,0.8454258788351654,0.8450429531977989,0.8446701701468796,0.8443933433056398,0.8441303424681006,0.843840882309499,0.8435227993582914,0.8431536583116581,0.8428734787928485,0.8426265046185863,0.8423482759532543,0.8420384773567823,0.8417684823087386,0.8414352023763082,0.8410495449600568,0.8407099159328711,0.8404453550347301,0.8401072136970933,0.839758979414549,0.8393638399190757,0.8389858711975771,0.8386000926841735,0.8382057744486578,0.8378302990669981,0.8374655313176225,0.8371063499410913,0.8367576622470927,0.8364553005562048,0.8360199889210803,0.8356883645009008,0.8352185231916827,0.8348234418095171,0.8344558317827988,0.834144233228796,0.8337460747625898,0.8333694343712764,0.8330209729854887,0.8326446970482937,0.8323090271575895,0.8319980718148665,0.8316184859157809,0.8312269882446035,0.8308456458983724,0.8304920723044693,0.8301255509474103,0.8297555855001446,0.8293630094056169,0.8289953475168985,0.8286339839695291,0.8282838194139941,0.827960454211504,0.827564056944867,0.8271679516621375,0.8268132826586809,0.8264852605302566,0.826115505197162,0.8257287366040205,0.825427164557214,0.8250073580104655,0.8246443178024238,0.8243300015203923,0.8239684280624564,0.8235883353262354,0.8232338968796626,0.8229033626822271,0.8225504805852413,0.8221832463142497,0.8217601002547437,0.8213242402317203,0.8209199030848569,0.8205257368346,0.8201224215911955,0.8197217966375987,0.8192633599153015,0.8188350728731549,0.8185586714584742,0.8181784306179627,0.817798405056217,0.8174324559285031,0.817035402331262,0.8166254740810928,0.8162758935659418,0.8159324432257434,0.81544579823564,0.8150327046539694,0.814720483677318,0.8142895327240471,0.8138435513436844,0.8134696681902307,0.813062266998259,0.8126358713300836,0.8121747522956193,0.8117579276097455,0.8113639842726483,0.8109192457848476,0.8105098406931974,0.8101038518214627,0.8096213846978952,0.809197896596209,0.8087656765936198,0.8082682598224011,0.8077755047678966,0.8072795571230811,0.8068170051035402,0.8063812623249271,0.8058656522842764,0.8054895404112112,0.8051183135421853,0.8046838888621171,0.8042373968629688,0.8036952569687299,0.8032535089489885,0.8027323554446906,0.8022570964609187,0.8018512398188329,0.8013895187311589,0.8009082515864385,0.8004151309537237,0.8000062589006034,0.7995818515746003,0.7991170312186731,0.7986424608538096,0.7981454248622009,0.7976562788627375,0.7972174945516383,0.796780241209224,0.7964010410976681,0.7959856564552374,0.7954807767250336,0.7949670571476259,0.7944847389138356,0.7939946805594837,0.7934860640179289,0.7930997355671795,0.7926944884261445,0.7922449646462927,0.7917386575987515,0.7912586215531686,0.7907890193972711,0.7903193380617665,0.789847146449766,0.7893837221415273,0.7889091922291402,0.7884363672912618,0.7880023353087425,0.787618560971731,0.7871034506099456,0.7865744237984358,0.7860500454526139,0.785638444797945,0.7851199986332619,0.7846985236531117,0.7842404437275434,0.7837557524835701,0.7831959092657256,0.7827305111423859,0.7823028412988021,0.7819495699831591,0.7815969175722549,0.7810663515451182,0.7805125467222184,0.7798907322407648,0.7794526283044738,0.7790449387178786,0.7785909968578184,0.7779779244120969,0.777443481706644,0.7768178659587781,0.7761336574864539,0.7755717176161063,0.7750548411060912,0.7745723335733417,0.7740018847689413,0.773380029282456,0.7727001052409819,0.7721817031521448,0.7715806953941748,0.7710495515668776,0.7704272203905855,0.7698245257168428,0.7691935410172965,0.7686878426410608,0.7681656823325842,0.7675903206430629,0.7670566666630769,0.7664679313750851,0.7659231955955614,0.7652443942810387,0.7645469618644657,0.7638506320948679,0.7633257060818378,0.7627318937761849,0.7621905055208849,0.7615885577573471,0.7610272988837307,0.7604928282770638,0.7599009696357111,0.7593173422123393,0.7587147330403394,0.7581144506644533,0.7575668367710087,0.7569576340486096,0.7564999113216813,0.7559638963637034,0.7552550133041116,0.7545796387122742,0.7538517794718662,0.7531298746892223,0.752575209568349,0.7519325262077601,0.7513585094064563,0.750736278019202,0.7500704006493422,0.7494805969608952,0.7489311838078718,0.7484414444712327,0.7478172114053007,0.7471141521260626,0.7464334270330508,0.7457030785054386,0.7449437793657613,0.7440627808987967,0.7433897927811617,0.7426859718702477,0.7418644805754125,0.7411713820296943,0.7405226864416454,0.7399768467174486,0.7393661557827099,0.738949821607582,0.7383103402701086,0.7378391128518769,0.7370228966797387,0.7363946360030817,0.7355847905533689,0.7350420388623639,0.7346765661245741,0.7343033821666471,0.7336796141166038,0.7331666892580555,0.7328032376082576,0.7323663222857983,0.7319139148864332,0.7314028075226606,0.7309166042726887,0.7302259102930587,0.7296993284517235,0.7292635263231895,0.7290506165036915,0.7283494576970615,0.7281572484919691,0.7278647630575623,0.727651309723987,0.7278011612455115,0.7277534320493577,0.727593717196391,0.7277328470890574,0.7272682287179681,0.7266874868614424,0.7268199754081471,0.7267818376736599,0.7267273048051994,0.7263990551806575,0.7262959252313517,0.7260533663275213,0.7254632144254458,0.7250548772057315,0.7247740749871413,0.7242785860657648,0.7236491119986231,0.7228834562681163,0.7223501735447816,0.7220447529633731,0.7213278911419847,0.7206485481040413,0.7199294029328167,0.7192001201504593,0.7184310302681229,0.7175634874387226,0.7167502459385939,0.7159418139743753,0.7154561004378909,0.7147227591133237,0.71381952840373,0.7130318086540668,0.7123409341445706,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},{\\\"fill\\\":\\\"tonexty\\\",\\\"fillcolor\\\":\\\"rgba(150, 0, 0, 0.2)\\\",\\\"hoverinfo\\\":\\\"skip\\\",\\\"line\\\":{\\\"color\\\":\\\"rgba(150, 0, 0, 1)\\\",\\\"width\\\":0.0},\\\"name\\\":\\\"CNN\\\",\\\"showlegend\\\":false,\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.5,0.5001,0.5002,0.5003,0.5004,0.5005,0.5006,0.5007,0.5008,0.5009,0.501,0.5011,0.5012,0.5013,0.5014,0.5015,0.5016,0.5017,0.5018,0.5019,0.502,0.5021,0.5022,0.5023,0.5024,0.5025,0.5026,0.5027,0.5028,0.5029,0.503,0.5031,0.5032,0.5033,0.5034,0.5035,0.5036,0.5037,0.5038,0.5039,0.504,0.5041,0.5042,0.5043,0.5044,0.5045,0.5046,0.5047,0.5048,0.5049,0.505,0.5051,0.5052,0.5053,0.5054,0.5055,0.5056,0.5057,0.5058,0.5059,0.506,0.5061,0.5062,0.5063,0.5064,0.5065,0.5066,0.5067,0.5068,0.5069,0.507,0.5071,0.5072,0.5073,0.5074,0.5075,0.5076,0.5077,0.5078,0.5079,0.508,0.5081,0.5082,0.5083,0.5084,0.5085,0.5086,0.5087,0.5088,0.5089,0.509,0.5091,0.5092,0.5093,0.5094,0.5095,0.5096,0.5097,0.5098,0.5099,0.51,0.5101,0.5102,0.5103,0.5104,0.5105,0.5106,0.5107,0.5108,0.5109,0.511,0.5111,0.5112,0.5113,0.5114,0.5115,0.5116,0.5117,0.5118,0.5119,0.512,0.5121,0.5122,0.5123,0.5124,0.5125,0.5126,0.5127,0.5128,0.5129,0.513,0.5131,0.5132,0.5133,0.5134,0.5135,0.5136000000000001,0.5137,0.5138,0.5139,0.514,0.5141,0.5142,0.5143,0.5144,0.5145,0.5146,0.5147,0.5148,0.5149,0.515,0.5151,0.5152,0.5153,0.5154,0.5155,0.5156,0.5157,0.5158,0.5159,0.516,0.5161,0.5162,0.5163,0.5164,0.5165,0.5166,0.5167,0.5168,0.5169,0.517,0.5171,0.5172,0.5173,0.5174,0.5175,0.5176,0.5177,0.5178,0.5179,0.518,0.5181,0.5182,0.5183,0.5184,0.5185,0.5186,0.5187,0.5188,0.5189,0.519,0.5191,0.5192,0.5193,0.5194,0.5195,0.5196,0.5197,0.5198,0.5199,0.52,0.5201,0.5202,0.5203,0.5204,0.5205,0.5206,0.5207,0.5208,0.5209,0.521,0.5211,0.5212,0.5213,0.5214,0.5215,0.5216,0.5217,0.5218,0.5219,0.522,0.5221,0.5222,0.5223,0.5224,0.5225,0.5226,0.5227,0.5228,0.5229,0.523,0.5231,0.5232,0.5233,0.5234,0.5235,0.5236,0.5237,0.5238,0.5239,0.524,0.5241,0.5242,0.5243,0.5244,0.5245,0.5246,0.5246999999999999,0.5248,0.5249,0.525,0.5251,0.5252,0.5253,0.5254,0.5255,0.5256,0.5257000000000001,0.5258,0.5259,0.526,0.5261,0.5262,0.5263,0.5264,0.5265,0.5266,0.5267,0.5268,0.5269,0.527,0.5271,0.5272,0.5273,0.5274,0.5275,0.5276,0.5277000000000001,0.5278,0.5279,0.528,0.5281,0.5282,0.5283,0.5284,0.5285,0.5286,0.5287,0.5288,0.5289,0.529,0.5291,0.5292,0.5293,0.5294,0.5295,0.5296,0.5297,0.5298,0.5299,0.53,0.5301,0.5302,0.5303,0.5304,0.5305,0.5306,0.5307,0.5308,0.5309,0.531,0.5311,0.5312,0.5313,0.5314,0.5315,0.5316,0.5317,0.5318,0.5319,0.532,0.5321,0.5322,0.5323,0.5324,0.5325,0.5326,0.5327,0.5328,0.5329,0.533,0.5331,0.5332,0.5333,0.5334,0.5335,0.5336,0.5337,0.5338,0.5339,0.534,0.5341,0.5342,0.5343,0.5344,0.5345,0.5346,0.5347,0.5348,0.5349,0.535,0.5351,0.5352,0.5353,0.5354,0.5355,0.5356,0.5357,0.5358,0.5359,0.536,0.5361,0.5362,0.5363,0.5364,0.5365,0.5366,0.5367,0.5367999999999999,0.5369,0.537,0.5371,0.5372,0.5373,0.5374,0.5375,0.5376,0.5377,0.5378000000000001,0.5379,0.538,0.5381,0.5382,0.5383,0.5384,0.5385,0.5386,0.5387,0.5388,0.5389,0.539,0.5391,0.5392,0.5393,0.5394,0.5395,0.5396,0.5397,0.5398000000000001,0.5399,0.54,0.5401,0.5402,0.5403,0.5404,0.5405,0.5406,0.5407,0.5408,0.5409,0.541,0.5411,0.5412,0.5413,0.5414,0.5415,0.5416,0.5417,0.5418000000000001,0.5419,0.542,0.5421,0.5422,0.5423,0.5424,0.5425,0.5426,0.5427,0.5428,0.5429,0.543,0.5431,0.5432,0.5433,0.5434,0.5435,0.5436,0.5437,0.5438,0.5439,0.544,0.5441,0.5442,0.5443,0.5444,0.5445,0.5446,0.5447,0.5448,0.5449,0.545,0.5451,0.5452,0.5453,0.5454,0.5455,0.5456,0.5457,0.5458,0.5459,0.546,0.5461,0.5462,0.5463,0.5464,0.5465,0.5466,0.5467,0.5468,0.5469,0.547,0.5471,0.5472,0.5473,0.5474,0.5475,0.5476,0.5477,0.5478,0.5479,0.548,0.5481,0.5482,0.5483,0.5484,0.5485,0.5486,0.5487,0.5488,0.5488999999999999,0.549,0.5491,0.5492,0.5493,0.5494,0.5495,0.5496,0.5497,0.5498,0.5499,0.55,0.5501,0.5502,0.5503,0.5504,0.5505,0.5506,0.5507,0.5508,0.5509,0.551,0.5511,0.5512,0.5513,0.5514,0.5515,0.5516,0.5517,0.5518,0.5519000000000001,0.552,0.5521,0.5522,0.5523,0.5524,0.5525,0.5526,0.5527,0.5528,0.5529,0.553,0.5531,0.5532,0.5533,0.5534,0.5535,0.5536,0.5537,0.5538,0.5539000000000001,0.554,0.5541,0.5542,0.5543,0.5544,0.5545,0.5546,0.5547,0.5548,0.5549,0.555,0.5551,0.5552,0.5553,0.5554,0.5555,0.5556,0.5557,0.5558,0.5559000000000001,0.556,0.5561,0.5562,0.5563,0.5564,0.5565,0.5566,0.5567,0.5568,0.5569,0.557,0.5571,0.5572,0.5573,0.5574,0.5575,0.5576,0.5577,0.5578,0.5579,0.558,0.5581,0.5582,0.5583,0.5584,0.5585,0.5586,0.5587,0.5588,0.5589,0.559,0.5591,0.5592,0.5593,0.5594,0.5595,0.5596,0.5597,0.5598,0.5599,0.56,0.5601,0.5602,0.5603,0.5604,0.5605,0.5606,0.5607,0.5608,0.5609,0.561,0.5611,0.5612,0.5613,0.5614,0.5615,0.5616,0.5617,0.5618,0.5619,0.562,0.5621,0.5622,0.5623,0.5624,0.5625,0.5626,0.5627,0.5628,0.5629,0.563,0.5631,0.5632,0.5633,0.5634,0.5635,0.5636,0.5637,0.5638,0.5639,0.5640000000000001,0.5641,0.5642,0.5643,0.5644,0.5645,0.5646,0.5647,0.5648,0.5649,0.565,0.5651,0.5652,0.5653,0.5654,0.5655,0.5656,0.5657,0.5658,0.5659,0.5660000000000001,0.5661,0.5662,0.5663,0.5664,0.5665,0.5666,0.5667,0.5668,0.5669,0.567,0.5671,0.5672,0.5673,0.5674,0.5675,0.5676,0.5677,0.5678,0.5679,0.5680000000000001,0.5681,0.5682,0.5683,0.5684,0.5685,0.5686,0.5687,0.5688,0.5689,0.569,0.5691,0.5692,0.5693,0.5694,0.5695,0.5696,0.5697,0.5698,0.5699,0.5700000000000001,0.5701,0.5702,0.5703,0.5704,0.5705,0.5706,0.5707,0.5708,0.5709,0.571,0.5710999999999999,0.5712,0.5713,0.5714,0.5715,0.5716,0.5717,0.5718,0.5719,0.5720000000000001,0.5721,0.5722,0.5723,0.5724,0.5725,0.5726,0.5727,0.5728,0.5729,0.573,0.5730999999999999,0.5732,0.5733,0.5734,0.5735,0.5736,0.5737,0.5738,0.5739,0.5740000000000001,0.5741,0.5742,0.5743,0.5744,0.5745,0.5746,0.5747,0.5748,0.5749,0.575,0.5751,0.5752,0.5753,0.5754,0.5755,0.5756,0.5757,0.5758,0.5759,0.576,0.5761000000000001,0.5762,0.5763,0.5764,0.5765,0.5766,0.5767,0.5768,0.5769,0.577,0.5771,0.5772,0.5773,0.5774,0.5775,0.5776,0.5777,0.5778,0.5779,0.578,0.5781000000000001,0.5782,0.5783,0.5784,0.5785,0.5786,0.5787,0.5788,0.5789,0.579,0.5791,0.5792,0.5793,0.5794,0.5795,0.5796,0.5797,0.5798,0.5799,0.58,0.5801000000000001,0.5802,0.5803,0.5804,0.5805,0.5806,0.5807,0.5808,0.5809,0.581,0.5811,0.5812,0.5813,0.5814,0.5815,0.5816,0.5817,0.5818,0.5819,0.582,0.5821000000000001,0.5822,0.5823,0.5824,0.5825,0.5826,0.5827,0.5828,0.5829,0.583,0.5831,0.5832,0.5833,0.5834,0.5835,0.5836,0.5837,0.5838,0.5839,0.584,0.5841000000000001,0.5842,0.5843,0.5844,0.5845,0.5846,0.5847,0.5848,0.5849,0.585,0.5851,0.5851999999999999,0.5853,0.5854,0.5855,0.5856,0.5857,0.5858,0.5859,0.586,0.5861000000000001,0.5862,0.5863,0.5864,0.5865,0.5866,0.5867,0.5868,0.5869,0.587,0.5871,0.5871999999999999,0.5873,0.5874,0.5875,0.5876,0.5877,0.5878,0.5879,0.588,0.5881,0.5882000000000001,0.5883,0.5884,0.5885,0.5886,0.5887,0.5888,0.5889,0.589,0.5891,0.5892,0.5893,0.5894,0.5895,0.5896,0.5897,0.5898,0.5899,0.59,0.5901,0.5902000000000001,0.5903,0.5904,0.5905,0.5906,0.5907,0.5908,0.5909,0.591,0.5911,0.5912,0.5913,0.5914,0.5915,0.5916,0.5917,0.5918,0.5919,0.592,0.5921,0.5922000000000001,0.5923,0.5924,0.5925,0.5926,0.5927,0.5928,0.5929,0.593,0.5931,0.5932,0.5933,0.5934,0.5935,0.5936,0.5937,0.5938,0.5939,0.594,0.5941,0.5942000000000001,0.5943,0.5944,0.5945,0.5946,0.5947,0.5948,0.5949,0.595,0.5951,0.5952,0.5953,0.5954,0.5955,0.5956,0.5957,0.5958,0.5959,0.596,0.5961,0.5962000000000001,0.5963,0.5964,0.5965,0.5966,0.5967,0.5968,0.5969,0.597,0.5971,0.5972,0.5973,0.5974,0.5975,0.5976,0.5977,0.5978,0.5979,0.598,0.5981,0.5982000000000001,0.5983,0.5984,0.5985,0.5986,0.5987,0.5988,0.5989,0.599,0.5991,0.5992,0.5992999999999999,0.5994,0.5995,0.5996,0.5997,0.5998,0.5999,0.6,0.6001,0.6002000000000001,0.6003000000000001,0.6004,0.6005,0.6006,0.6007,0.6008,0.6009,0.601,0.6011,0.6012,0.6013,0.6014,0.6015,0.6016,0.6017,0.6018,0.6019,0.602,0.6021,0.6022,0.6023000000000001,0.6024,0.6025,0.6026,0.6027,0.6028,0.6029,0.603,0.6031,0.6032,0.6033,0.6034,0.6035,0.6036,0.6037,0.6038,0.6039,0.604,0.6041,0.6042,0.6043000000000001,0.6044,0.6045,0.6046,0.6047,0.6048,0.6049,0.605,0.6051,0.6052,0.6053,0.6054,0.6055,0.6056,0.6057,0.6058,0.6059,0.606,0.6061,0.6062,0.6063000000000001,0.6064,0.6065,0.6066,0.6067,0.6068,0.6069,0.607,0.6071,0.6072,0.6073,0.6074,0.6075,0.6076,0.6077,0.6078,0.6079,0.608,0.6081,0.6082,0.6083000000000001,0.6084,0.6085,0.6086,0.6087,0.6088,0.6089,0.609,0.6091,0.6092,0.6093,0.6094,0.6095,0.6096,0.6097,0.6098,0.6099,0.61,0.6101,0.6102,0.6103000000000001,0.6104,0.6105,0.6106,0.6107,0.6108,0.6109,0.611,0.6111,0.6112,0.6113,0.6113999999999999,0.6115,0.6116,0.6117,0.6118,0.6119,0.612,0.6121,0.6122,0.6123000000000001,0.6124,0.6125,0.6126,0.6127,0.6128,0.6129,0.613,0.6131,0.6132,0.6133,0.6134,0.6135,0.6136,0.6137,0.6138,0.6139,0.614,0.6141,0.6142,0.6143,0.6144000000000001,0.6145,0.6146,0.6147,0.6148,0.6149,0.615,0.6151,0.6152,0.6153,0.6154,0.6155,0.6156,0.6157,0.6158,0.6159,0.616,0.6161,0.6162,0.6163,0.6164000000000001,0.6165,0.6166,0.6167,0.6168,0.6169,0.617,0.6171,0.6172,0.6173,0.6174,0.6175,0.6176,0.6177,0.6178,0.6179,0.618,0.6181,0.6182,0.6183,0.6184000000000001,0.6185,0.6186,0.6187,0.6188,0.6189,0.619,0.6191,0.6192,0.6193,0.6194,0.6195,0.6196,0.6197,0.6198,0.6199,0.62,0.6201,0.6202,0.6203,0.6204000000000001,0.6205,0.6206,0.6207,0.6208,0.6209,0.621,0.6211,0.6212,0.6213,0.6214,0.6215,0.6216,0.6217,0.6218,0.6219,0.622,0.6221,0.6222,0.6223,0.6224000000000001,0.6225,0.6226,0.6227,0.6228,0.6229,0.623,0.6231,0.6232,0.6233,0.6234,0.6235,0.6236,0.6237,0.6238,0.6239,0.624,0.6241,0.6242,0.6243,0.6244000000000001,0.6245,0.6246,0.6247,0.6248,0.6249,0.625,0.6251,0.6252,0.6253,0.6254,0.6255,0.6256,0.6257,0.6258,0.6259,0.626,0.6261,0.6262,0.6263,0.6264000000000001,0.6265000000000001,0.6266,0.6267,0.6268,0.6269,0.627,0.6271,0.6272,0.6273,0.6274,0.6275,0.6276,0.6277,0.6278,0.6279,0.628,0.6281,0.6282,0.6283,0.6284000000000001,0.6285000000000001,0.6286,0.6287,0.6288,0.6289,0.629,0.6291,0.6292,0.6293,0.6294,0.6295,0.6295999999999999,0.6297,0.6298,0.6299,0.63,0.6301,0.6302,0.6303,0.6304000000000001,0.6305000000000001,0.6306,0.6307,0.6308,0.6309,0.631,0.6311,0.6312,0.6313,0.6314,0.6315,0.6315999999999999,0.6317,0.6318,0.6319,0.632,0.6321,0.6322,0.6323,0.6324000000000001,0.6325000000000001,0.6326,0.6327,0.6328,0.6329,0.633,0.6331,0.6332,0.6333,0.6334,0.6335,0.6335999999999999,0.6337,0.6338,0.6339,0.634,0.6341,0.6342,0.6343,0.6344000000000001,0.6345000000000001,0.6346,0.6347,0.6348,0.6349,0.635,0.6351,0.6352,0.6353,0.6354,0.6355,0.6355999999999999,0.6357,0.6358,0.6359,0.636,0.6361,0.6362,0.6363,0.6364,0.6365000000000001,0.6366,0.6367,0.6368,0.6369,0.637,0.6371,0.6372,0.6373,0.6374,0.6375,0.6376,0.6377,0.6378,0.6379,0.638,0.6381,0.6382,0.6383,0.6384,0.6385000000000001,0.6386000000000001,0.6387,0.6388,0.6389,0.639,0.6391,0.6392,0.6393,0.6394,0.6395,0.6396,0.6397,0.6398,0.6399,0.64,0.6401,0.6402,0.6403,0.6404,0.6405000000000001,0.6406000000000001,0.6407,0.6408,0.6409,0.641,0.6411,0.6412,0.6413,0.6414,0.6415,0.6416,0.6417,0.6418,0.6419,0.642,0.6421,0.6422,0.6423,0.6424,0.6425000000000001,0.6426000000000001,0.6427,0.6428,0.6429,0.643,0.6431,0.6432,0.6433,0.6434,0.6435,0.6436,0.6436999999999999,0.6438,0.6439,0.644,0.6441,0.6442,0.6443,0.6444,0.6445000000000001,0.6446000000000001,0.6447,0.6448,0.6449,0.645,0.6451,0.6452,0.6453,0.6454,0.6455,0.6456,0.6456999999999999,0.6458,0.6459,0.646,0.6461,0.6462,0.6463,0.6464,0.6465000000000001,0.6466000000000001,0.6467,0.6468,0.6469,0.647,0.6471,0.6472,0.6473,0.6474,0.6475,0.6476,0.6476999999999999,0.6478,0.6479,0.648,0.6481,0.6482,0.6483,0.6484,0.6485000000000001,0.6486000000000001,0.6487,0.6488,0.6489,0.649,0.6491,0.6492,0.6493,0.6494,0.6495,0.6496,0.6496999999999999,0.6498,0.6499,0.65,0.6501,0.6502,0.6503,0.6504,0.6505,0.6506000000000001,0.6507000000000001,0.6508,0.6509,0.651,0.6511,0.6512,0.6513,0.6514,0.6515,0.6516,0.6517,0.6518,0.6519,0.652,0.6521,0.6522,0.6523,0.6524,0.6525,0.6526000000000001,0.6527000000000001,0.6528,0.6529,0.653,0.6531,0.6532,0.6533,0.6534,0.6535,0.6536,0.6537,0.6538,0.6539,0.654,0.6541,0.6542,0.6543,0.6544,0.6545,0.6546000000000001,0.6547000000000001,0.6548,0.6549,0.655,0.6551,0.6552,0.6553,0.6554,0.6555,0.6556,0.6557,0.6557999999999999,0.6559,0.656,0.6561,0.6562,0.6563,0.6564,0.6565,0.6566000000000001,0.6567000000000001,0.6568,0.6569,0.657,0.6571,0.6572,0.6573,0.6574,0.6575,0.6576,0.6577,0.6577999999999999,0.6579,0.658,0.6581,0.6582,0.6583,0.6584,0.6585,0.6586000000000001,0.6587000000000001,0.6588,0.6589,0.659,0.6591,0.6592,0.6593,0.6594,0.6595,0.6596,0.6597,0.6597999999999999,0.6599,0.66,0.6601,0.6602,0.6603,0.6604,0.6605,0.6606000000000001,0.6607000000000001,0.6608,0.6609,0.661,0.6611,0.6612,0.6613,0.6614,0.6615,0.6616,0.6617,0.6617999999999999,0.6619,0.662,0.6621,0.6622,0.6623,0.6624,0.6625,0.6626,0.6627000000000001,0.6628000000000001,0.6629,0.663,0.6631,0.6632,0.6633,0.6634,0.6635,0.6636,0.6637,0.6638,0.6639,0.664,0.6641,0.6642,0.6643,0.6644,0.6645,0.6646,0.6647000000000001,0.6648000000000001,0.6649,0.665,0.6651,0.6652,0.6653,0.6654,0.6655,0.6656,0.6657,0.6658,0.6659,0.666,0.6661,0.6662,0.6663,0.6664,0.6665,0.6666,0.6667000000000001,0.6668000000000001,0.6669,0.667,0.6671,0.6672,0.6673,0.6674,0.6675,0.6676,0.6677,0.6678,0.6679,0.668,0.6681,0.6682,0.6683,0.6684,0.6685,0.6686,0.6687000000000001,0.6688000000000001,0.6689,0.669,0.6691,0.6692,0.6693,0.6694,0.6695,0.6696,0.6697,0.6698,0.6698999999999999,0.67,0.6701,0.6702,0.6703,0.6704,0.6705,0.6706,0.6707000000000001,0.6708000000000001,0.6709,0.671,0.6711,0.6712,0.6713,0.6714,0.6715,0.6716,0.6717,0.6718,0.6718999999999999,0.672,0.6721,0.6722,0.6723,0.6724,0.6725,0.6726,0.6727000000000001,0.6728000000000001,0.6729,0.673,0.6731,0.6732,0.6733,0.6734,0.6735,0.6736,0.6737,0.6738,0.6738999999999999,0.674,0.6741,0.6742,0.6743,0.6744,0.6745,0.6746,0.6747000000000001,0.6748000000000001,0.6749,0.675,0.6751,0.6752,0.6753,0.6754,0.6755,0.6756,0.6757,0.6758,0.6759,0.676,0.6761,0.6762,0.6763,0.6764,0.6765,0.6766,0.6767,0.6768000000000001,0.6769000000000001,0.677,0.6771,0.6772,0.6773,0.6774,0.6775,0.6776,0.6777,0.6778,0.6779,0.678,0.6781,0.6782,0.6783,0.6784,0.6785,0.6786,0.6787,0.6788000000000001,0.6789000000000001,0.679,0.6791,0.6792,0.6793,0.6794,0.6795,0.6796,0.6797,0.6798,0.6799,0.68,0.6801,0.6802,0.6803,0.6804,0.6805,0.6806,0.6807,0.6808000000000001,0.6809000000000001,0.681,0.6811,0.6812,0.6813,0.6814,0.6815,0.6816,0.6817,0.6818,0.6819,0.6819999999999999,0.6821,0.6822,0.6823,0.6824,0.6825,0.6826,0.6827,0.6828000000000001,0.6829000000000001,0.683,0.6831,0.6832,0.6833,0.6834,0.6835,0.6836,0.6837,0.6838,0.6839,0.6839999999999999,0.6841,0.6842,0.6843,0.6844,0.6845,0.6846,0.6847,0.6848000000000001,0.6849000000000001,0.685,0.6851,0.6852,0.6853,0.6854,0.6855,0.6856,0.6857,0.6858,0.6859,0.6859999999999999,0.6861,0.6862,0.6863,0.6864,0.6865,0.6866,0.6867,0.6868000000000001,0.6869000000000001,0.687,0.6871,0.6872,0.6873,0.6874,0.6875,0.6876,0.6877,0.6878,0.6879,0.688,0.6881,0.6882,0.6883,0.6884,0.6885,0.6886,0.6887,0.6888,0.6889000000000001,0.6890000000000001,0.6891,0.6892,0.6893,0.6894,0.6895,0.6896,0.6897,0.6898,0.6899,0.69,0.6901,0.6902,0.6903,0.6904,0.6905,0.6906,0.6907,0.6908,0.6909000000000001,0.6910000000000001,0.6911,0.6912,0.6913,0.6914,0.6915,0.6916,0.6917,0.6918,0.6919,0.692,0.6921,0.6922,0.6923,0.6924,0.6925,0.6926,0.6927,0.6928,0.6929000000000001,0.6930000000000001,0.6931,0.6932,0.6933,0.6934,0.6935,0.6936,0.6937,0.6938,0.6939,0.694,0.6941,0.6942,0.6943,0.6944,0.6945,0.6946,0.6947,0.6948,0.6949000000000001,0.6950000000000001,0.6951,0.6952,0.6953,0.6954,0.6955,0.6956,0.6957,0.6958,0.6959,0.696,0.6960999999999999,0.6962,0.6963,0.6964,0.6965,0.6966,0.6967,0.6968,0.6969000000000001,0.6970000000000001,0.6971,0.6972,0.6973,0.6974,0.6975,0.6976,0.6977,0.6978,0.6979,0.698,0.6980999999999999,0.6982,0.6983,0.6984,0.6985,0.6986,0.6987,0.6988,0.6989000000000001,0.6990000000000001,0.6991,0.6992,0.6993,0.6994,0.6995,0.6996,0.6997,0.6998,0.6999,0.7,0.7001,0.7002,0.7003,0.7004,0.7005,0.7006,0.7007,0.7008,0.7009000000000001,0.7010000000000001,0.7011000000000001,0.7012,0.7013,0.7014,0.7015,0.7016,0.7017,0.7018,0.7019,0.702,0.7021,0.7022,0.7023,0.7024,0.7025,0.7026,0.7027,0.7028,0.7029,0.7030000000000001,0.7031000000000001,0.7032,0.7033,0.7034,0.7035,0.7036,0.7037,0.7038,0.7039,0.704,0.7041,0.7042,0.7043,0.7044,0.7045,0.7046,0.7047,0.7048,0.7049,0.7050000000000001,0.7051000000000001,0.7052,0.7053,0.7054,0.7055,0.7056,0.7057,0.7058,0.7059,0.706,0.7061,0.7062,0.7063,0.7064,0.7065,0.7066,0.7067,0.7068,0.7069,0.7070000000000001,0.7071000000000001,0.7072,0.7073,0.7074,0.7075,0.7076,0.7077,0.7078,0.7079,0.708,0.7081,0.7081999999999999,0.7083,0.7084,0.7085,0.7086,0.7087,0.7088,0.7089,0.7090000000000001,0.7091000000000001,0.7092,0.7093,0.7094,0.7095,0.7096,0.7097,0.7098,0.7099,0.71,0.7101,0.7101999999999999,0.7103,0.7104,0.7105,0.7106,0.7107,0.7108,0.7109,0.7110000000000001,0.7111000000000001,0.7112,0.7113,0.7114,0.7115,0.7116,0.7117,0.7118,0.7119,0.712,0.7121,0.7121999999999999,0.7123,0.7124,0.7125,0.7126,0.7127,0.7128,0.7129,0.7130000000000001,0.7131000000000001,0.7132000000000001,0.7133,0.7134,0.7135,0.7136,0.7137,0.7138,0.7139,0.714,0.7141,0.7142,0.7143,0.7144,0.7145,0.7146,0.7147,0.7148,0.7149,0.715,0.7151000000000001,0.7152000000000001,0.7153,0.7154,0.7155,0.7156,0.7157,0.7158,0.7159,0.716,0.7161,0.7162,0.7163,0.7164,0.7165,0.7166,0.7167,0.7168,0.7169,0.717,0.7171000000000001,0.7172000000000001,0.7173,0.7174,0.7175,0.7176,0.7177,0.7178,0.7179,0.718,0.7181,0.7182,0.7183,0.7184,0.7185,0.7186,0.7187,0.7188,0.7189,0.719,0.7191000000000001,0.7192000000000001,0.7193,0.7194,0.7195,0.7196,0.7197,0.7198,0.7199,0.72,0.7201,0.7202,0.7203,0.7204,0.7205,0.7206,0.7207,0.7208,0.7209,0.721,0.7211000000000001,0.7212000000000001,0.7213,0.7214,0.7215,0.7216,0.7217,0.7218,0.7219,0.722,0.7221,0.7222,0.7222999999999999,0.7224,0.7225,0.7226,0.7227,0.7228,0.7229,0.723,0.7231000000000001,0.7232000000000001,0.7233,0.7234,0.7235,0.7236,0.7237,0.7238,0.7239,0.724,0.7241,0.7242,0.7242999999999999,0.7244,0.7245,0.7246,0.7247,0.7248,0.7249,0.725,0.7251000000000001,0.7252000000000001,0.7253000000000001,0.7254,0.7255,0.7256,0.7257,0.7258,0.7259,0.726,0.7261,0.7262,0.7263,0.7264,0.7265,0.7266,0.7267,0.7268,0.7269,0.727,0.7271000000000001,0.7272000000000001,0.7273000000000001,0.7274,0.7275,0.7276,0.7277,0.7278,0.7279,0.728,0.7281,0.7282,0.7283,0.7284,0.7285,0.7286,0.7287,0.7288,0.7289,0.729,0.7291,0.7292000000000001,0.7293000000000001,0.7294,0.7295,0.7296,0.7297,0.7298,0.7299,0.73,0.7301,0.7302,0.7303,0.7304,0.7305,0.7306,0.7307,0.7308,0.7309,0.731,0.7311,0.7312000000000001,0.7313000000000001,0.7314,0.7315,0.7316,0.7317,0.7318,0.7319,0.732,0.7321,0.7322,0.7323,0.7324,0.7325,0.7326,0.7327,0.7328,0.7329,0.733,0.7331,0.7332000000000001,0.7333000000000001,0.7334,0.7335,0.7336,0.7337,0.7338,0.7339,0.734,0.7341,0.7342,0.7343,0.7344,0.7345,0.7346,0.7347,0.7348,0.7349,0.735,0.7351,0.7352000000000001,0.7353000000000001,0.7354,0.7355,0.7356,0.7357,0.7358,0.7359,0.736,0.7361,0.7362,0.7363,0.7363999999999999,0.7365,0.7366,0.7367,0.7368,0.7369,0.737,0.7371,0.7372000000000001,0.7373000000000001,0.7374,0.7375,0.7376,0.7377,0.7378,0.7379,0.738,0.7381,0.7382,0.7383,0.7384,0.7385,0.7386,0.7387,0.7388,0.7389,0.739,0.7391,0.7392000000000001,0.7393000000000001,0.7394000000000001,0.7395,0.7396,0.7397,0.7398,0.7399,0.74,0.7401,0.7402,0.7403,0.7404,0.7405,0.7406,0.7407,0.7408,0.7409,0.741,0.7411,0.7412,0.7413000000000001,0.7414000000000001,0.7415,0.7416,0.7417,0.7418,0.7419,0.742,0.7421,0.7422,0.7423,0.7424,0.7425,0.7426,0.7427,0.7428,0.7429,0.743,0.7431,0.7432,0.7433000000000001,0.7434000000000001,0.7435,0.7436,0.7437,0.7438,0.7439,0.744,0.7441,0.7442,0.7443,0.7444,0.7445,0.7446,0.7447,0.7448,0.7449,0.745,0.7451,0.7452,0.7453000000000001,0.7454000000000001,0.7455,0.7456,0.7457,0.7458,0.7459,0.746,0.7461,0.7462,0.7463,0.7464,0.7465,0.7466,0.7467,0.7468,0.7469,0.747,0.7471,0.7472,0.7473000000000001,0.7474000000000001,0.7475,0.7476,0.7477,0.7478,0.7479,0.748,0.7481,0.7482,0.7483,0.7484,0.7484999999999999,0.7486,0.7487,0.7488,0.7489,0.749,0.7491,0.7492,0.7493000000000001,0.7494000000000001,0.7495,0.7496,0.7497,0.7498,0.7499,0.75,0.7501,0.7502,0.7503,0.7504,0.7505,0.7505999999999999,0.7507,0.7508,0.7509,0.751,0.7511,0.7512000000000001,0.7513000000000001,0.7514000000000001,0.7515000000000001,0.7516,0.7517,0.7518,0.7519,0.752,0.7521,0.7522,0.7523,0.7524,0.7525,0.7525999999999999,0.7527,0.7528,0.7529,0.753,0.7531,0.7532000000000001,0.7533000000000001,0.7534000000000001,0.7535000000000001,0.7536,0.7537,0.7538,0.7539,0.754,0.7541,0.7542,0.7543,0.7544,0.7545,0.7545999999999999,0.7547,0.7548,0.7549,0.755,0.7551,0.7552000000000001,0.7553000000000001,0.7554000000000001,0.7555000000000001,0.7556,0.7557,0.7558,0.7559,0.756,0.7561,0.7562,0.7563,0.7564,0.7565,0.7565999999999999,0.7567,0.7568,0.7569,0.757,0.7571,0.7572000000000001,0.7573000000000001,0.7574000000000001,0.7575000000000001,0.7576,0.7577,0.7578,0.7579,0.758,0.7581,0.7582,0.7583,0.7584,0.7585,0.7585999999999999,0.7586999999999999,0.7588,0.7589,0.759,0.7591,0.7592,0.7593000000000001,0.7594000000000001,0.7595000000000001,0.7596,0.7597,0.7598,0.7599,0.76,0.7601,0.7602,0.7603,0.7604,0.7605,0.7605999999999999,0.7606999999999999,0.7608,0.7609,0.761,0.7611,0.7612,0.7613000000000001,0.7614000000000001,0.7615000000000001,0.7616,0.7617,0.7618,0.7619,0.762,0.7621,0.7622,0.7623,0.7624,0.7625,0.7626,0.7626999999999999,0.7628,0.7629,0.763,0.7631,0.7632,0.7633000000000001,0.7634000000000001,0.7635000000000001,0.7636000000000001,0.7637,0.7638,0.7639,0.764,0.7641,0.7642,0.7643,0.7644,0.7645,0.7646,0.7646999999999999,0.7648,0.7649,0.765,0.7651,0.7652,0.7653000000000001,0.7654000000000001,0.7655000000000001,0.7656000000000001,0.7657,0.7658,0.7659,0.766,0.7661,0.7662,0.7663,0.7664,0.7665,0.7666,0.7666999999999999,0.7668,0.7669,0.767,0.7671,0.7672,0.7673000000000001,0.7674000000000001,0.7675000000000001,0.7676000000000001,0.7677,0.7678,0.7679,0.768,0.7681,0.7682,0.7683,0.7684,0.7685,0.7686,0.7686999999999999,0.7688,0.7689,0.769,0.7691,0.7692,0.7693000000000001,0.7694000000000001,0.7695000000000001,0.7696000000000001,0.7697,0.7698,0.7699,0.77,0.7701,0.7702,0.7703,0.7704,0.7705,0.7706,0.7706999999999999,0.7708,0.7709,0.771,0.7711,0.7712,0.7713,0.7714000000000001,0.7715000000000001,0.7716000000000001,0.7717,0.7718,0.7719,0.772,0.7721,0.7722,0.7723,0.7724,0.7725,0.7726,0.7726999999999999,0.7727999999999999,0.7729,0.773,0.7731,0.7732,0.7733,0.7734000000000001,0.7735000000000001,0.7736000000000001,0.7737,0.7738,0.7739,0.774,0.7741,0.7742,0.7743,0.7744,0.7745,0.7746,0.7746999999999999,0.7747999999999999,0.7749,0.775,0.7751,0.7752,0.7753,0.7754000000000001,0.7755000000000001,0.7756000000000001,0.7757000000000001,0.7758,0.7759,0.776,0.7761,0.7762,0.7763,0.7764,0.7765,0.7766,0.7767,0.7767999999999999,0.7769,0.777,0.7771,0.7772,0.7773,0.7774000000000001,0.7775000000000001,0.7776000000000001,0.7777000000000001,0.7778,0.7779,0.778,0.7781,0.7782,0.7783,0.7784,0.7785,0.7786,0.7787,0.7787999999999999,0.7789,0.779,0.7791,0.7792,0.7793,0.7794000000000001,0.7795000000000001,0.7796000000000001,0.7797000000000001,0.7798,0.7799,0.78,0.7801,0.7802,0.7803,0.7804,0.7805,0.7806,0.7807,0.7807999999999999,0.7809,0.781,0.7811,0.7812,0.7813,0.7814000000000001,0.7815000000000001,0.7816000000000001,0.7817000000000001,0.7818,0.7819,0.782,0.7821,0.7822,0.7823,0.7824,0.7825,0.7826,0.7827,0.7827999999999999,0.7829,0.783,0.7831,0.7832,0.7833,0.7834000000000001,0.7835000000000001,0.7836000000000001,0.7837000000000001,0.7838,0.7839,0.784,0.7841,0.7842,0.7843,0.7844,0.7845,0.7846,0.7847,0.7847999999999999,0.7848999999999999,0.785,0.7851,0.7852,0.7853,0.7854,0.7855000000000001,0.7856000000000001,0.7857000000000001,0.7858,0.7859,0.786,0.7861,0.7862,0.7863,0.7864,0.7865,0.7866,0.7867,0.7867999999999999,0.7868999999999999,0.787,0.7871,0.7872,0.7873,0.7874,0.7875000000000001,0.7876000000000001,0.7877000000000001,0.7878000000000001,0.7879,0.788,0.7881,0.7882,0.7883,0.7884,0.7885,0.7886,0.7887,0.7888,0.7888999999999999,0.789,0.7891,0.7892,0.7893,0.7894,0.7895000000000001,0.7896000000000001,0.7897000000000001,0.7898000000000001,0.7899,0.79,0.7901,0.7902,0.7903,0.7904,0.7905,0.7906,0.7907,0.7908,0.7908999999999999,0.791,0.7911,0.7912,0.7913,0.7914,0.7915000000000001,0.7916000000000001,0.7917000000000001,0.7918000000000001,0.7919,0.792,0.7921,0.7922,0.7923,0.7924,0.7925,0.7926,0.7927,0.7928,0.7928999999999999,0.793,0.7931,0.7932,0.7933,0.7934,0.7935000000000001,0.7936000000000001,0.7937000000000001,0.7938000000000001,0.7939,0.794,0.7941,0.7942,0.7943,0.7944,0.7945,0.7946,0.7947,0.7948,0.7948999999999999,0.795,0.7951,0.7952,0.7953,0.7954,0.7955000000000001,0.7956000000000001,0.7957000000000001,0.7958000000000001,0.7959,0.796,0.7961,0.7962,0.7963,0.7964,0.7965,0.7966,0.7967,0.7968,0.7968999999999999,0.797,0.7971,0.7972,0.7973,0.7974,0.7975,0.7976000000000001,0.7977000000000001,0.7978000000000001,0.7979,0.798,0.7981,0.7982,0.7983,0.7984,0.7985,0.7986,0.7987,0.7988,0.7988999999999999,0.7989999999999999,0.7991,0.7992,0.7993,0.7994,0.7995,0.7996000000000001,0.7997000000000001,0.7998000000000001,0.7999,0.8,0.8001,0.8002,0.8003,0.8004,0.8005,0.8006,0.8007,0.8008,0.8009,0.8009999999999999,0.8011,0.8012,0.8013,0.8014,0.8015,0.8016000000000001,0.8017000000000001,0.8018000000000001,0.8019000000000001,0.802,0.8021,0.8022,0.8023,0.8024,0.8025,0.8026,0.8027,0.8028,0.8029,0.8029999999999999,0.8031,0.8032,0.8033,0.8034,0.8035,0.8036000000000001,0.8037000000000001,0.8038000000000001,0.8039000000000001,0.804,0.8041,0.8042,0.8043,0.8044,0.8045,0.8046,0.8047,0.8048,0.8049,0.8049999999999999,0.8051,0.8052,0.8053,0.8054,0.8055,0.8056000000000001,0.8057000000000001,0.8058000000000001,0.8059000000000001,0.806,0.8061,0.8062,0.8063,0.8064,0.8065,0.8066,0.8067,0.8068,0.8069,0.8069999999999999,0.8071,0.8072,0.8073,0.8074,0.8075,0.8076000000000001,0.8077000000000001,0.8078000000000001,0.8079000000000001,0.808,0.8081,0.8082,0.8083,0.8084,0.8085,0.8086,0.8087,0.8088,0.8089,0.8089999999999999,0.8091,0.8092,0.8093,0.8094,0.8095,0.8096000000000001,0.8097000000000001,0.8098000000000001,0.8099000000000001,0.81,0.8101,0.8102,0.8103,0.8104,0.8105,0.8106,0.8107,0.8108,0.8109,0.8109999999999999,0.8110999999999999,0.8112,0.8113,0.8114,0.8115,0.8116,0.8117000000000001,0.8118000000000001,0.8119000000000001,0.812,0.8121,0.8122,0.8123,0.8124,0.8125,0.8126,0.8127,0.8128,0.8129,0.813,0.8130999999999999,0.8132,0.8133,0.8134,0.8135,0.8136,0.8137000000000001,0.8138000000000001,0.8139000000000001,0.8140000000000001,0.8141,0.8142,0.8143,0.8144,0.8145,0.8146,0.8147,0.8148,0.8149,0.815,0.8150999999999999,0.8152,0.8153,0.8154,0.8155,0.8156,0.8157000000000001,0.8158000000000001,0.8159000000000001,0.8160000000000001,0.8161,0.8162,0.8163,0.8164,0.8165,0.8166,0.8167,0.8168,0.8169,0.817,0.8170999999999999,0.8172,0.8173,0.8174,0.8175,0.8176,0.8177000000000001,0.8178000000000001,0.8179000000000001,0.8180000000000001,0.8181,0.8182,0.8183,0.8184,0.8185,0.8186,0.8187,0.8188,0.8189,0.819,0.8190999999999999,0.8192,0.8193,0.8194,0.8195,0.8196,0.8197000000000001,0.8198000000000001,0.8199000000000001,0.8200000000000001,0.8201,0.8202,0.8203,0.8204,0.8205,0.8206,0.8207,0.8208,0.8209,0.821,0.8210999999999999,0.8212,0.8213,0.8214,0.8215,0.8216,0.8217000000000001,0.8218000000000001,0.8219000000000001,0.8220000000000001,0.8221,0.8222,0.8223,0.8224,0.8225,0.8226,0.8227,0.8228,0.8229,0.823,0.8230999999999999,0.8232,0.8233,0.8234,0.8235,0.8236,0.8237000000000001,0.8238000000000001,0.8239000000000001,0.8240000000000001,0.8241,0.8242,0.8243,0.8244,0.8245,0.8246,0.8247,0.8248,0.8249,0.825,0.8251,0.8251999999999999,0.8253,0.8254,0.8255,0.8256,0.8257,0.8258000000000001,0.8259000000000001,0.8260000000000001,0.8261000000000001,0.8262,0.8263,0.8264,0.8265,0.8266,0.8267,0.8268,0.8269,0.827,0.8271,0.8271999999999999,0.8273,0.8274,0.8275,0.8276,0.8277,0.8278000000000001,0.8279000000000001,0.8280000000000001,0.8281000000000001,0.8282,0.8283,0.8284,0.8285,0.8286,0.8287,0.8288,0.8289,0.829,0.8291,0.8291999999999999,0.8293,0.8294,0.8295,0.8296,0.8297,0.8298000000000001,0.8299000000000001,0.8300000000000001,0.8301000000000001,0.8302,0.8303,0.8304,0.8305,0.8306,0.8307,0.8308,0.8309,0.831,0.8311,0.8311999999999999,0.8313,0.8314,0.8315,0.8316,0.8317,0.8318000000000001,0.8319000000000001,0.8320000000000001,0.8321000000000001,0.8322,0.8323,0.8324,0.8325,0.8326,0.8327,0.8328,0.8329,0.833,0.8331,0.8331999999999999,0.8333,0.8334,0.8335,0.8336,0.8337,0.8338000000000001,0.8339000000000001,0.8340000000000001,0.8341000000000001,0.8342,0.8343,0.8344,0.8345,0.8346,0.8347,0.8348,0.8349,0.835,0.8351,0.8351999999999999,0.8353,0.8354,0.8355,0.8356,0.8357,0.8358000000000001,0.8359000000000001,0.8360000000000001,0.8361000000000001,0.8362,0.8363,0.8364,0.8365,0.8366,0.8367,0.8368,0.8369,0.837,0.8371,0.8371999999999999,0.8372999999999999,0.8374,0.8375,0.8376,0.8377,0.8378,0.8379000000000001,0.8380000000000001,0.8381000000000001,0.8382000000000001,0.8383,0.8384,0.8385,0.8386,0.8387,0.8388,0.8389,0.839,0.8391,0.8392,0.8392999999999999,0.8394,0.8395,0.8396,0.8397,0.8398,0.8399000000000001,0.8400000000000001,0.8401000000000001,0.8402000000000001,0.8403,0.8404,0.8405,0.8406,0.8407,0.8408,0.8409,0.841,0.8411,0.8412,0.8412999999999999,0.8414,0.8415,0.8416,0.8417,0.8418,0.8419000000000001,0.8420000000000001,0.8421000000000001,0.8422000000000001,0.8423,0.8424,0.8425,0.8426,0.8427,0.8428,0.8429,0.843,0.8431,0.8432,0.8432999999999999,0.8434,0.8435,0.8436,0.8437,0.8438,0.8439000000000001,0.8440000000000001,0.8441000000000001,0.8442000000000001,0.8443,0.8444,0.8445,0.8446,0.8447,0.8448,0.8449,0.845,0.8451,0.8452,0.8452999999999999,0.8454,0.8455,0.8456,0.8457,0.8458,0.8459000000000001,0.8460000000000001,0.8461000000000001,0.8462000000000001,0.8463,0.8464,0.8465,0.8466,0.8467,0.8468,0.8469,0.847,0.8471,0.8472,0.8472999999999999,0.8474,0.8475,0.8476,0.8477,0.8478,0.8479000000000001,0.8480000000000001,0.8481000000000001,0.8482000000000001,0.8483,0.8484,0.8485,0.8486,0.8487,0.8488,0.8489,0.849,0.8491,0.8492,0.8492999999999999,0.8494,0.8495,0.8496,0.8497,0.8498,0.8499000000000001,0.8500000000000001,0.8501000000000001,0.8502000000000001,0.8503000000000001,0.8504,0.8505,0.8506,0.8507,0.8508,0.8509,0.851,0.8511,0.8512,0.8513,0.8513999999999999,0.8515,0.8516,0.8517,0.8518,0.8519,0.8520000000000001,0.8521000000000001,0.8522000000000001,0.8523000000000001,0.8524,0.8525,0.8526,0.8527,0.8528,0.8529,0.853,0.8531,0.8532,0.8533,0.8533999999999999,0.8535,0.8536,0.8537,0.8538,0.8539,0.8540000000000001,0.8541000000000001,0.8542000000000001,0.8543000000000001,0.8544,0.8545,0.8546,0.8547,0.8548,0.8549,0.855,0.8551,0.8552,0.8553,0.8553999999999999,0.8555,0.8556,0.8557,0.8558,0.8559,0.8560000000000001,0.8561000000000001,0.8562000000000001,0.8563000000000001,0.8564,0.8565,0.8566,0.8567,0.8568,0.8569,0.857,0.8571,0.8572,0.8573,0.8573999999999999,0.8575,0.8576,0.8577,0.8578,0.8579,0.8580000000000001,0.8581000000000001,0.8582000000000001,0.8583000000000001,0.8584,0.8585,0.8586,0.8587,0.8588,0.8589,0.859,0.8591,0.8592,0.8593,0.8593999999999999,0.8595,0.8596,0.8597,0.8598,0.8599,0.8600000000000001,0.8601000000000001,0.8602000000000001,0.8603000000000001,0.8604,0.8605,0.8606,0.8607,0.8608,0.8609,0.861,0.8611,0.8612,0.8613,0.8613999999999999,0.8615,0.8616,0.8617,0.8618,0.8619,0.8620000000000001,0.8621000000000001,0.8622000000000001,0.8623000000000001,0.8624,0.8625,0.8626,0.8627,0.8628,0.8629,0.863,0.8631,0.8632,0.8633,0.8634,0.8634999999999999,0.8636,0.8637,0.8638,0.8639,0.864,0.8641000000000001,0.8642000000000001,0.8643000000000001,0.8644000000000001,0.8645,0.8646,0.8647,0.8648,0.8649,0.865,0.8651,0.8652,0.8653,0.8654,0.8654999999999999,0.8656,0.8657,0.8658,0.8659,0.866,0.8661000000000001,0.8662000000000001,0.8663000000000001,0.8664000000000001,0.8665,0.8666,0.8667,0.8668,0.8669,0.867,0.8671,0.8672,0.8673,0.8674,0.8674999999999999,0.8676,0.8677,0.8678,0.8679,0.868,0.8681000000000001,0.8682000000000001,0.8683000000000001,0.8684000000000001,0.8685,0.8686,0.8687,0.8688,0.8689,0.869,0.8691,0.8692,0.8693,0.8694,0.8694999999999999,0.8696,0.8697,0.8698,0.8699,0.87,0.8701000000000001,0.8702000000000001,0.8703000000000001,0.8704000000000001,0.8705,0.8706,0.8707,0.8708,0.8709,0.871,0.8711,0.8712,0.8713,0.8714,0.8714999999999999,0.8716,0.8717,0.8718,0.8719,0.872,0.8721000000000001,0.8722000000000001,0.8723000000000001,0.8724000000000001,0.8725,0.8726,0.8727,0.8728,0.8729,0.873,0.8731,0.8732,0.8733,0.8734,0.8734999999999999,0.8736,0.8737,0.8738,0.8739,0.874,0.8741000000000001,0.8742000000000001,0.8743000000000001,0.8744000000000001,0.8745,0.8746,0.8747,0.8748,0.8749,0.875,0.8751,0.8752,0.8753,0.8754,0.8755,0.8756,0.8757,0.8758,0.8759,0.876,0.8761000000000001,0.8762000000000001,0.8763000000000001,0.8764000000000001,0.8765000000000001,0.8766,0.8767,0.8768,0.8769,0.877,0.8771,0.8772,0.8773,0.8774,0.8775,0.8775999999999999,0.8777,0.8778,0.8779,0.878,0.8781,0.8782000000000001,0.8783000000000001,0.8784000000000001,0.8785000000000001,0.8786,0.8787,0.8788,0.8789,0.879,0.8791,0.8792,0.8793,0.8794,0.8795,0.8795999999999999,0.8797,0.8798,0.8799,0.88,0.8801,0.8802000000000001,0.8803000000000001,0.8804000000000001,0.8805000000000001,0.8806,0.8807,0.8808,0.8809,0.881,0.8811,0.8812,0.8813,0.8814,0.8815,0.8815999999999999,0.8817,0.8818,0.8819,0.882,0.8821,0.8822000000000001,0.8823000000000001,0.8824000000000001,0.8825000000000001,0.8826,0.8827,0.8828,0.8829,0.883,0.8831,0.8832,0.8833,0.8834,0.8835,0.8835999999999999,0.8837,0.8838,0.8839,0.884,0.8841,0.8842000000000001,0.8843000000000001,0.8844000000000001,0.8845000000000001,0.8846,0.8847,0.8848,0.8849,0.885,0.8851,0.8852,0.8853,0.8854,0.8855,0.8855999999999999,0.8857,0.8858,0.8859,0.886,0.8861,0.8862000000000001,0.8863000000000001,0.8864000000000001,0.8865000000000001,0.8866,0.8867,0.8868,0.8869,0.887,0.8871,0.8872,0.8873,0.8874,0.8875,0.8876,0.8877,0.8878,0.8879,0.888,0.8881,0.8882000000000001,0.8883000000000001,0.8884000000000001,0.8885000000000001,0.8886000000000001,0.8887,0.8888,0.8889,0.889,0.8891,0.8892,0.8893,0.8894,0.8895,0.8896,0.8897,0.8898,0.8899,0.89,0.8901,0.8902,0.8903000000000001,0.8904000000000001,0.8905000000000001,0.8906000000000001,0.8907,0.8908,0.8909,0.891,0.8911,0.8912,0.8913,0.8914,0.8915,0.8916,0.8916999999999999,0.8918,0.8919,0.892,0.8921,0.8922,0.8923000000000001,0.8924000000000001,0.8925000000000001,0.8926000000000001,0.8927,0.8928,0.8929,0.893,0.8931,0.8932,0.8933,0.8934,0.8935,0.8936,0.8936999999999999,0.8938,0.8939,0.894,0.8941,0.8942,0.8943000000000001,0.8944000000000001,0.8945000000000001,0.8946000000000001,0.8947,0.8948,0.8949,0.895,0.8951,0.8952,0.8953,0.8954,0.8955,0.8956,0.8956999999999999,0.8958,0.8959,0.896,0.8961,0.8962,0.8963000000000001,0.8964000000000001,0.8965000000000001,0.8966000000000001,0.8967,0.8968,0.8969,0.897,0.8971,0.8972,0.8973,0.8974,0.8975,0.8976,0.8976999999999999,0.8978,0.8979,0.898,0.8981,0.8982,0.8983000000000001,0.8984000000000001,0.8985000000000001,0.8986000000000001,0.8987,0.8988,0.8989,0.899,0.8991,0.8992,0.8993,0.8994,0.8995,0.8996,0.8996999999999999,0.8998,0.8999,0.9,0.9001,0.9002,0.9003000000000001,0.9004000000000001,0.9005000000000001,0.9006000000000001,0.9007000000000001,0.9008,0.9009,0.901,0.9011,0.9012,0.9013,0.9014,0.9015,0.9016,0.9017,0.9018,0.9019,0.902,0.9021,0.9022,0.9023000000000001,0.9024000000000001,0.9025000000000001,0.9026000000000001,0.9027000000000001,0.9028,0.9029,0.903,0.9031,0.9032,0.9033,0.9034,0.9035,0.9036,0.9037,0.9037999999999999,0.9039,0.904,0.9041,0.9042,0.9043,0.9044000000000001,0.9045000000000001,0.9046000000000001,0.9047000000000001,0.9048,0.9049,0.905,0.9051,0.9052,0.9053,0.9054,0.9055,0.9056,0.9057,0.9057999999999999,0.9059,0.906,0.9061,0.9062,0.9063,0.9064000000000001,0.9065000000000001,0.9066000000000001,0.9067000000000001,0.9068,0.9069,0.907,0.9071,0.9072,0.9073,0.9074,0.9075,0.9076,0.9077,0.9077999999999999,0.9079,0.908,0.9081,0.9082,0.9083,0.9084000000000001,0.9085000000000001,0.9086000000000001,0.9087000000000001,0.9088,0.9089,0.909,0.9091,0.9092,0.9093,0.9094,0.9095,0.9096,0.9097,0.9097999999999999,0.9099,0.91,0.9101,0.9102,0.9103,0.9104000000000001,0.9105000000000001,0.9106000000000001,0.9107000000000001,0.9108,0.9109,0.911,0.9111,0.9112,0.9113,0.9114,0.9115,0.9116,0.9117,0.9117999999999999,0.9119,0.912,0.9121,0.9122,0.9123,0.9124000000000001,0.9125000000000001,0.9126000000000001,0.9127000000000001,0.9128000000000001,0.9129,0.913,0.9131,0.9132,0.9133,0.9134,0.9135,0.9136,0.9137,0.9138,0.9139,0.914,0.9141,0.9142,0.9143,0.9144000000000001,0.9145000000000001,0.9146000000000001,0.9147000000000001,0.9148000000000001,0.9149,0.915,0.9151,0.9152,0.9153,0.9154,0.9155,0.9156,0.9157,0.9158,0.9159,0.916,0.9161,0.9162,0.9163,0.9164,0.9165000000000001,0.9166000000000001,0.9167000000000001,0.9168000000000001,0.9169,0.917,0.9171,0.9172,0.9173,0.9174,0.9175,0.9176,0.9177,0.9178,0.9178999999999999,0.918,0.9181,0.9182,0.9183,0.9184,0.9185000000000001,0.9186000000000001,0.9187000000000001,0.9188000000000001,0.9189,0.919,0.9191,0.9192,0.9193,0.9194,0.9195,0.9196,0.9197,0.9198,0.9198999999999999,0.92,0.9201,0.9202,0.9203,0.9204,0.9205000000000001,0.9206000000000001,0.9207000000000001,0.9208000000000001,0.9209,0.921,0.9211,0.9212,0.9213,0.9214,0.9215,0.9216,0.9217,0.9218,0.9218999999999999,0.922,0.9221,0.9222,0.9223,0.9224,0.9225000000000001,0.9226000000000001,0.9227000000000001,0.9228000000000001,0.9229,0.923,0.9231,0.9232,0.9233,0.9234,0.9235,0.9236,0.9237,0.9238,0.9238999999999999,0.924,0.9241,0.9242,0.9243,0.9244,0.9245000000000001,0.9246000000000001,0.9247000000000001,0.9248000000000001,0.9249,0.925,0.9251,0.9252,0.9253,0.9254,0.9255,0.9256,0.9257,0.9258,0.9259,0.926,0.9261,0.9262,0.9263,0.9264,0.9265000000000001,0.9266000000000001,0.9267000000000001,0.9268000000000001,0.9269000000000001,0.927,0.9271,0.9272,0.9273,0.9274,0.9275,0.9276,0.9277,0.9278,0.9279,0.928,0.9281,0.9282,0.9283,0.9284,0.9285000000000001,0.9286000000000001,0.9287000000000001,0.9288000000000001,0.9289000000000001,0.929,0.9291,0.9292,0.9293,0.9294,0.9295,0.9296,0.9297,0.9298,0.9299,0.9299999999999999,0.9301,0.9302,0.9303,0.9304,0.9305,0.9306000000000001,0.9307000000000001,0.9308000000000001,0.9309000000000001,0.931,0.9311,0.9312,0.9313,0.9314,0.9315,0.9316,0.9317,0.9318,0.9319,0.9319999999999999,0.9321,0.9322,0.9323,0.9324,0.9325,0.9326000000000001,0.9327000000000001,0.9328000000000001,0.9329000000000001,0.933,0.9331,0.9332,0.9333,0.9334,0.9335,0.9336,0.9337,0.9338,0.9339,0.9339999999999999,0.9341,0.9342,0.9343,0.9344,0.9345,0.9346000000000001,0.9347000000000001,0.9348000000000001,0.9349000000000001,0.935,0.9351,0.9352,0.9353,0.9354,0.9355,0.9356,0.9357,0.9358,0.9359,0.9359999999999999,0.9361,0.9362,0.9363,0.9364,0.9365,0.9366000000000001,0.9367000000000001,0.9368000000000001,0.9369000000000001,0.937,0.9371,0.9372,0.9373,0.9374,0.9375,0.9376,0.9377,0.9378,0.9379,0.938,0.9381,0.9382,0.9383,0.9384,0.9385,0.9386000000000001,0.9387000000000001,0.9388000000000001,0.9389000000000001,0.9390000000000001,0.9391,0.9392,0.9393,0.9394,0.9395,0.9396,0.9397,0.9398,0.9399,0.94,0.9401,0.9402,0.9403,0.9404,0.9405,0.9406000000000001,0.9407000000000001,0.9408000000000001,0.9409000000000001,0.9410000000000001,0.9411,0.9412,0.9413,0.9414,0.9415,0.9416,0.9417,0.9418,0.9419,0.942,0.9421,0.9422,0.9423,0.9424,0.9425,0.9426000000000001,0.9427000000000001,0.9428000000000001,0.9429000000000001,0.9430000000000001,0.9431,0.9432,0.9433,0.9434,0.9435,0.9436,0.9437,0.9438,0.9439,0.944,0.9440999999999999,0.9442,0.9443,0.9444,0.9445,0.9446,0.9447000000000001,0.9448000000000001,0.9449000000000001,0.9450000000000001,0.9451,0.9452,0.9453,0.9454,0.9455,0.9456,0.9457,0.9458,0.9459,0.946,0.9460999999999999,0.9462,0.9463,0.9464,0.9465,0.9466,0.9467000000000001,0.9468000000000001,0.9469000000000001,0.9470000000000001,0.9471,0.9472,0.9473,0.9474,0.9475,0.9476,0.9477,0.9478,0.9479,0.948,0.9480999999999999,0.9482,0.9483,0.9484,0.9485,0.9486,0.9487000000000001,0.9488000000000001,0.9489000000000001,0.9490000000000001,0.9491,0.9492,0.9493,0.9494,0.9495,0.9496,0.9497,0.9498,0.9499,0.95,0.9501,0.9502,0.9503,0.9504,0.9505,0.9506,0.9507000000000001,0.9508000000000001,0.9509000000000001,0.9510000000000001,0.9511000000000001,0.9512,0.9513,0.9514,0.9515,0.9516,0.9517,0.9518,0.9519,0.952,0.9521,0.9522,0.9523,0.9524,0.9525,0.9526,0.9527000000000001,0.9528000000000001,0.9529000000000001,0.9530000000000001,0.9531000000000001,0.9532,0.9533,0.9534,0.9535,0.9536,0.9537,0.9538,0.9539,0.954,0.9541,0.9542,0.9543,0.9544,0.9545,0.9546,0.9547000000000001,0.9548000000000001,0.9549000000000001,0.9550000000000001,0.9551000000000001,0.9552,0.9553,0.9554,0.9555,0.9556,0.9557,0.9558,0.9559,0.956,0.9561,0.9561999999999999,0.9563,0.9564,0.9565,0.9566,0.9567,0.9568000000000001,0.9569000000000001,0.9570000000000001,0.9571000000000001,0.9572,0.9573,0.9574,0.9575,0.9576,0.9577,0.9578,0.9579,0.958,0.9581,0.9581999999999999,0.9583,0.9584,0.9585,0.9586,0.9587,0.9588000000000001,0.9589000000000001,0.9590000000000001,0.9591000000000001,0.9592,0.9593,0.9594,0.9595,0.9596,0.9597,0.9598,0.9599,0.96,0.9601,0.9601999999999999,0.9603,0.9604,0.9605,0.9606,0.9607,0.9608000000000001,0.9609000000000001,0.9610000000000001,0.9611000000000001,0.9612,0.9613,0.9614,0.9615,0.9616,0.9617,0.9618,0.9619,0.962,0.9621,0.9621999999999999,0.9623,0.9624,0.9625,0.9626,0.9627,0.9628000000000001,0.9629000000000001,0.9630000000000001,0.9631000000000001,0.9632000000000001,0.9633,0.9634,0.9635,0.9636,0.9637,0.9638,0.9639,0.964,0.9641,0.9642,0.9643,0.9644,0.9645,0.9646,0.9647,0.9648000000000001,0.9649000000000001,0.9650000000000001,0.9651000000000001,0.9652000000000001,0.9653,0.9654,0.9655,0.9656,0.9657,0.9658,0.9659,0.966,0.9661,0.9662,0.9663,0.9664,0.9665,0.9666,0.9667,0.9668000000000001,0.9669000000000001,0.9670000000000001,0.9671000000000001,0.9672000000000001,0.9673,0.9674,0.9675,0.9676,0.9677,0.9678,0.9679,0.968,0.9681,0.9682,0.9683,0.9684,0.9685,0.9686,0.9687,0.9688000000000001,0.9689000000000001,0.9690000000000001,0.9691000000000001,0.9692000000000001,0.9693,0.9694,0.9695,0.9696,0.9697,0.9698,0.9699,0.97,0.9701,0.9702,0.9702999999999999,0.9704,0.9705,0.9706,0.9707,0.9708,0.9709000000000001,0.9710000000000001,0.9711000000000001,0.9712000000000001,0.9713,0.9714,0.9715,0.9716,0.9717,0.9718,0.9719,0.972,0.9721,0.9722,0.9722999999999999,0.9724,0.9725,0.9726,0.9727,0.9728,0.9729000000000001,0.9730000000000001,0.9731000000000001,0.9732000000000001,0.9733,0.9734,0.9735,0.9736,0.9737,0.9738,0.9739,0.974,0.9741,0.9742,0.9742999999999999,0.9744,0.9745,0.9746,0.9747,0.9748,0.9749000000000001,0.9750000000000001,0.9751000000000001,0.9752000000000001,0.9753000000000001,0.9754,0.9755,0.9756,0.9757,0.9758,0.9759,0.976,0.9761,0.9762,0.9763,0.9764,0.9765,0.9766,0.9767,0.9768,0.9769000000000001,0.9770000000000001,0.9771000000000001,0.9772000000000001,0.9773000000000001,0.9774,0.9775,0.9776,0.9777,0.9778,0.9779,0.978,0.9781,0.9782,0.9783,0.9784,0.9785,0.9786,0.9787,0.9788,0.9789000000000001,0.9790000000000001,0.9791000000000001,0.9792000000000001,0.9793000000000001,0.9794,0.9795,0.9796,0.9797,0.9798,0.9799,0.98,0.9801,0.9802,0.9803,0.9804,0.9805,0.9806,0.9807,0.9808,0.9809000000000001,0.9810000000000001,0.9811000000000001,0.9812000000000001,0.9813000000000001,0.9814,0.9815,0.9816,0.9817,0.9818,0.9819,0.982,0.9821,0.9822,0.9823,0.9823999999999999,0.9825,0.9826,0.9827,0.9828,0.9829,0.9830000000000001,0.9831000000000001,0.9832000000000001,0.9833000000000001,0.9834,0.9835,0.9836,0.9837,0.9838,0.9839,0.984,0.9841,0.9842,0.9843,0.9843999999999999,0.9845,0.9846,0.9847,0.9848,0.9849,0.9850000000000001,0.9851000000000001,0.9852000000000001,0.9853000000000001,0.9854,0.9855,0.9856,0.9857,0.9858,0.9859,0.986,0.9861,0.9862,0.9863,0.9863999999999999,0.9865,0.9866,0.9867,0.9868,0.9869,0.9870000000000001,0.9871000000000001,0.9872000000000001,0.9873000000000001,0.9874,0.9875,0.9876,0.9877,0.9878,0.9879,0.988,0.9881,0.9882,0.9883,0.9884,0.9885,0.9886,0.9887,0.9888,0.9889,0.9890000000000001,0.9891000000000001,0.9892000000000001,0.9893000000000001,0.9894000000000001,0.9895,0.9896,0.9897,0.9898,0.9899,0.99,0.9901,0.9902,0.9903,0.9904,0.9905,0.9906,0.9907,0.9908,0.9909,0.9910000000000001,0.9911000000000001,0.9912000000000001,0.9913000000000001,0.9914000000000001,0.9915,0.9916,0.9917,0.9918,0.9919,0.992,0.9921,0.9922,0.9923,0.9924,0.9925,0.9926,0.9927,0.9928,0.9929,0.9930000000000001,0.9931000000000001,0.9932000000000001,0.9933000000000001,0.9934000000000001,0.9935,0.9936,0.9937,0.9938,0.9939,0.994,0.9941,0.9942,0.9943,0.9944,0.9945,0.9946,0.9947,0.9948,0.9949,0.9950000000000001,0.9951000000000001,0.9952000000000001,0.9953000000000001,0.9954000000000001,0.9955,0.9956,0.9957,0.9958,0.9959,0.996,0.9961,0.9962,0.9963,0.9964,0.9964999999999999,0.9966,0.9967,0.9968,0.9969,0.997,0.9971000000000001,0.9972000000000001,0.9973000000000001,0.9974000000000001,0.9975,0.9976,0.9977,0.9978,0.9979,0.998,0.9981,0.9982,0.9983,0.9984,0.9984999999999999,0.9986,0.9987,0.9988,0.9989,0.999,0.9991000000000001,0.9992000000000001,0.9993000000000001,0.9994000000000001,0.9995,0.9996,0.9997,0.9998,0.9999,1.0],\\\"y\\\":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0.9887876870279563,0.9887807197897772,0.9887737525515983,0.9885702096325503,0.9885708643168817,0.988563666376052,0.9885540735174334,0.9885485209220138,0.9885390407127028,0.9885295605033917,0.9885200802940808,0.9885105952000026,0.988501010498879,0.9885004303790553,0.988490861992921,0.9884745547403246,0.9884656199829344,0.988456685225544,0.9884477504681538,0.9884388157107635,0.9884334240820041,0.9884245756660146,0.9884194430614578,0.9884119336421928,0.9883944289520274,0.9883873153342955,0.9883828033604314,0.9883810207739282,0.988374034899689,0.9883697784128108,0.9883656070882612,0.9883671500254188,0.9883603770570011,0.9883565038006015,0.9883527157065303,0.9883490127747877,0.9883514499163955,0.9883449324349636,0.9883379756468932,0.9883369737087746,0.9883330463247918,0.988325153171537,0.988320581292429,0.9882566329856436,0.9882484751152147,0.9882504485043707,0.9882461967721413,0.9882385679533835,0.9882328260722665,0.988151046759179,0.9881429902770011,0.9881329807257235,0.9881229711744459,0.9881218320029092,0.9881189381566495,0.988109391525584,0.9879762848490646,0.9879755792239737,0.9879745040127776,0.9879697863996149,0.9879680644127351,0.9879628848169412,0.9879575204280947,0.9879519712461957,0.987949048104475,0.9879511922500582,0.9879447191028969,0.9879355275190311,0.9879287771822913,0.9879194932018993,0.9879169785837272,0.9879117455288504,0.9879061428878688,0.9879001706607823,0.9878919419796225,0.9878845214524715,0.9878910011561015,0.9878835227720304,0.9878730519331216,0.9878652909495704,0.9878574642427058,0.9878469276804833,0.9878416136590356,0.9878361681909604,0.9878255001821108,0.9878148321732609,0.9878041641644113,0.9877934961555617,0.987782828146712,0.9877721601378624,0.9877638405061454,0.9877531396356389,0.9877424387651325,0.9877317662181974,0.987721296495999,0.9877108267738008,0.9877003570516025,0.9876898873294042,0.987679417607206,0.9876689478850077,0.9876584781628095,0.9876480084406112,0.9876394084093301,0.9876288965795428,0.9876183847497553,0.9876096162881176,0.9875988494950438,0.9875877475816766,0.9875766456683093,0.9875688550899779,0.9875577166115184,0.987546578133059,0.9875354396545994,0.9875243011761401,0.9875131626976805,0.9875020242192212,0.9874908857407618,0.9874797472623023,0.9874686087838429,0.9874574703053833,0.987446331826924,0.9874351933484645,0.9874240548700051,0.9874129163915455,0.9874017779130861,0.9873906394346268,0.9873795009561672,0.9873683624777079,0.9873572239992483,0.987346085520789,0.9873349470423295,0.9873238085638701,0.9873133729578416,0.9873029614665638,0.9872925499752857,0.9872821384840077,0.9872717269927297,0.9872613155014516,0.9872509040101736,0.9872404925188956,0.9872307143515715,0.9872219454216511,0.9872131764917309,0.9872044075618107,0.9871956386318903,0.9871868697019701,0.9871772688179045,0.9871673479402362,0.987157427062568,0.9871475061848999,0.9871375853072315,0.9871264760395533,0.9871133046844807,0.987100133329408,0.9870869619743354,0.9870741257475893,0.9870635559423525,0.9870529861371158,0.9870416547595144,0.9870295398923316,0.9870174250251488,0.9870053101579661,0.9869931952907833,0.9869810804236006,0.9869689655564178,0.986956850689235,0.9869447358220522,0.9869326209548696,0.9869205060876868,0.9869083912205041,0.9868962763533213,0.9868841614861386,0.9868720466189558,0.986859931751773,0.9868478168845902,0.9868357020174074,0.9868235871502248,0.986811472283042,0.9867993574158592,0.9867874248019347,0.9867758156910957,0.9867642065802567,0.9867525974694178,0.9867409883585789,0.9867293792477398,0.986717770136901,0.9867061610260621,0.986694551915223,0.9866829428043842,0.9866711288236557,0.9866575752298681,0.9866441693218587,0.9866310876350889,0.9866180007180979,0.986604913801107,0.9865918268841161,0.9865787399671249,0.9865656530501341,0.9865525661331431,0.9865390312101672,0.9865247244291665,0.9865104176481658,0.9864961108671653,0.9864818040861646,0.9864674973051639,0.9864531905241634,0.9864388837431626,0.986424576962162,0.9864087786275356,0.9863919298965171,0.9863750811654987,0.9863582324344803,0.986342916078401,0.9863285177142487,0.9863141193500964,0.986299720985944,0.9862853226217917,0.9862709242576394,0.9862565258934871,0.9862421275293349,0.9862277291651826,0.9862133308010304,0.9861989324368781,0.9861845340727258,0.9861701357085735,0.9861557373444212,0.9861428860238501,0.9861321824872917,0.9861235799558188,0.9861149774243457,0.9861063748928727,0.9860953224679998,0.9860838596907237,0.9860739631524403,0.9860631304117196,0.9860518152115769,0.9860405000114345,0.9860291848112921,0.9860178696111495,0.986006554411007,0.9859952392108645,0.985983924010722,0.9859719306201136,0.9859591705787133,0.9859464105373131,0.9859336504959131,0.9859208904545129,0.9859081304131128,0.9858953703717126,0.9858832934882827,0.9858725156623449,0.9858572987472956,0.9858432945948028,0.9858299805071518,0.9858138026003368,0.9857976246935216,0.9857814467867065,0.9857652688798915,0.9857490909730764,0.9857329130662613,0.9857167351594462,0.9857005572526312,0.985684379345816,0.9856681195138843,0.985651506072845,0.9856348926318056,0.9856163230347987,0.9855959479951375,0.9855755729554765,0.985559147999078,0.9855420729634679,0.9855237448010357,0.9855059079016392,0.9854896115352922,0.9854733151689452,0.9854570188025984,0.9854407224362516,0.9854244260699045,0.9854081297035577,0.9853924843424108,0.9853772641634653,0.9853620439845197,0.9853468238055743,0.9853314663523092,0.9853189236367932,0.9853054453846923,0.985288350335314,0.9852712552859357,0.9852541602365573,0.9852369679133239,0.9852197208977259,0.985202473882128,0.98518522686653,0.9851679798509321,0.985150732835334,0.9851345329086376,0.9851188150588703,0.9851030972091032,0.9850874065542372,0.9850719612936102,0.985056516032983,0.985041070772356,0.985025625511729,0.9850101802511019,0.984994734990475,0.9849792897298479,0.9849638444692208,0.9849483992085937,0.984929430700885,0.984909797335804,0.9848908380179957,0.9848740961254742,0.9848606332704681,0.9848471704154622,0.9848337075604563,0.9848202447054503,0.9848067818504442,0.9847933189954383,0.9847798561404324,0.9847663932854264,0.9847550781443534,0.9847438605250454,0.9847296654624439,0.9847147426470881,0.984697471255717,0.984680199864346,0.9846629284729749,0.9846456570816038,0.9846283856902327,0.9846111142988615,0.9845938429074904,0.9845765715161193,0.9845640107342369,0.9845535109590915,0.9845430111839462,0.9845297695591984,0.9845130886658036,0.984496407772409,0.9844797268790142,0.9844626049658738,0.9844454293939728,0.9844282538220718,0.9844117597648399,0.9843957150219351,0.9843843064602942,0.9843765586945115,0.9843688109287285,0.9843610631629457,0.984351576208542,0.9843391485889554,0.9843170343406988,0.9842945869033325,0.9842768545164335,0.9842603781742795,0.9842439018321254,0.9842274254899712,0.984210949147817,0.984194472805663,0.9841791649022448,0.9841646110585025,0.9841499062510457,0.9841356534714992,0.984121635364231,0.9841076172569627,0.9840935991496944,0.9840795810424261,0.9840546662706808,0.9840230275499913,0.984011690827627,0.9840007778783812,0.9839910864391385,0.9839814065112118,0.9839717265832851,0.983959412347883,0.9839465884625894,0.9839325335990663,0.9839182898921047,0.9839038663062429,0.9838894427203813,0.9838750191345195,0.9838627926329582,0.9838514256872691,0.9838422486323952,0.9838324366866218,0.9838184376406299,0.9838038689875186,0.9837893003344074,0.9837737009292025,0.9837560314142297,0.9837370853183217,0.9837171918506621,0.9836970718566599,0.9836769518626576,0.9836568318686555,0.9836372086054579,0.983620990655119,0.9836066647581923,0.9835919205394793,0.9835721469285101,0.9835523733175406,0.9835325997065713,0.9835133017431088,0.9834937638048278,0.9834684345969782,0.983441762625617,0.9834154481529618,0.9833980483120692,0.9833805634002482,0.9833630784884272,0.9833500422689393,0.983337310361768,0.9833245784545968,0.9833115689706797,0.9832955873136846,0.9832823787197156,0.9832667367872407,0.9832467393424942,0.9832333015947905,0.9832113187476555,0.9831971976507791,0.9831848002921703,0.9831717345500549,0.9831587911230786,0.9831484223997409,0.9831367994292177,0.9831232668573183,0.9831153535929162,0.983102995653268,0.9830863213673235,0.9830706035338437,0.9830602352799009,0.9830540643568267,0.9830424670519694,0.9830256989612118,0.9830036169311492,0.9829831620588113,0.9829674495333391,0.9829517370078671,0.9829356709904538,0.9829195301903851,0.9829031540756514,0.9828882438112712,0.9828762001884994,0.9828641568989656,0.9828521136094317,0.9828376847767326,0.9828185243035413,0.9827920885805828,0.9827701358143968,0.9827481830482108,0.9827272578195942,0.9827078681814183,0.9826833317183011,0.9826700015924652,0.9826583181971411,0.9826480362697977,0.9826377543424544,0.9826140307065216,0.9825922669857161,0.9825726468820251,0.9825512873082749,0.9825300932868644,0.9825095508686786,0.9824892510701169,0.9824700523036953,0.9824523155473914,0.9824336403109624,0.9824121892745739,0.9823883633103145,0.9823646034462978,0.9823431121783363,0.9823236626148069,0.9823042130512775,0.9822873170092714,0.9822760882224353,0.9822670864956637,0.9822566013198127,0.982239242374,0.982216778567665,0.9822018536195388,0.9821857526704392,0.9821689601211712,0.9821572661779983,0.9821459358509205,0.9821244818806909,0.9820907749100618,0.9820712622848244,0.9820590737413554,0.982046260807619,0.9820334478738827,0.9820210841977599,0.9820105301778665,0.9819978764623833,0.9819850714658627,0.9819715067057968,0.9819514595349574,0.9819311446626287,0.9819117050264733,0.981893868110252,0.981877858548899,0.9818637451296555,0.9818494646406735,0.9818329054118069,0.9818137096645352,0.9817888938525136,0.9817650218963664,0.9817428049390031,0.9817238549849682,0.9817073991159726,0.9816909432469768,0.981676491760693,0.9816652135602437,0.9816522861408499,0.9816336393608274,0.9816116538022269,0.9815863347069942,0.9815608998414701,0.981547216992606,0.9815378332083038,0.9815292647294218,0.9815187414447744,0.9815032605527099,0.9814847132768911,0.9814739637904477,0.9814549573355087,0.981423617496402,0.9813937847528407,0.9813677828338401,0.9813434542117985,0.9813218102142521,0.9812986495534914,0.9812762400188666,0.9812544472961984,0.9812328389538343,0.9812121634215447,0.9811942676920588,0.9811709497445309,0.9811461360576166,0.9811234263831139,0.9811022147260495,0.9810790145767214,0.981057354827563,0.9810377913756185,0.9810202291051118,0.980999762365639,0.9809782288972364,0.9809561747312143,0.9809322124426588,0.9809075998689502,0.9808832169707039,0.9808613222088773,0.9808449438294613,0.9808199807452951,0.9807947075389292,0.9807752498057098,0.9807558880981639,0.9807387055413547,0.9807221675993767,0.9806970384816843,0.9806790470886677,0.9806635631736461,0.9806456034451878,0.9806265126610775,0.9806075734591947,0.9805905032514726,0.9805671447728141,0.9805387458496133,0.9805083005544633,0.9804749272330975,0.9804516664273877,0.980435217410152,0.9804168198286896,0.9803954825797142,0.9803718969155824,0.9803516750880197,0.9803360601630555,0.9803208229239067,0.9803058722165452,0.9802874608188852,0.9802704531533584,0.9802582436691036,0.9802307651904627,0.9802150445320738,0.980204960293295,0.9801768981301615,0.9801469024925564,0.9801226465772168,0.9801057903832506,0.9800904912531849,0.980075665889679,0.9800554982355987,0.9800401381861797,0.9800238611385036,0.9800080442353851,0.9799954297625707,0.9799768139374188,0.9799590654395033,0.9799482018648553,0.9799243832091374,0.9798931568043778,0.9798673053216235,0.9798448547569039,0.9798259825581469,0.9798084204711521,0.9797884497357205,0.9797613031222017,0.9797350502242846,0.979713888905316,0.9796949965046515,0.9796700503046369,0.9796534830517548,0.9796420699762074,0.9796220631905665,0.9795945322111643,0.9795719777683325,0.9795560291808113,0.9795367123181711,0.9795112239021693,0.9794849388007216,0.9794599116232134,0.9794325093267524,0.9794049020743675,0.9793855444189753,0.979358938554116,0.9793261047822621,0.9793072404648608,0.9792909155030878,0.9792785419654523,0.9792558378824887,0.9792315086917021,0.9792028349722868,0.9791779817373836,0.979156641622198,0.9791389018379008,0.9791190116669801,0.9790946775676361,0.9790684527219582,0.9790387900252095,0.9790228496485122,0.9790045553911636,0.9789788042190968,0.9789606909559521,0.978945060914362,0.9789256054988293,0.9788987455901488,0.978867590770798,0.9788468297562216,0.9788216406724053,0.9787986852710738,0.978785520937491,0.9787627082133232,0.9787463504075679,0.9787259667192294,0.978699725014245,0.9786805370080369,0.9786634744648028,0.9786364178594802,0.9786201824104739,0.9786037072789928,0.9785782424615094,0.9785549993823296,0.9785397958930794,0.9785231988981661,0.9785037449246945,0.9784821008497285,0.9784604431270365,0.978433437404449,0.9784171818327083,0.9783931850812018,0.9783623926857385,0.978327645294943,0.9782913468700778,0.9782612307100795,0.9782373102592984,0.9782205510223594,0.9781903766311114,0.9781557862383667,0.9781255665547453,0.9781039573371031,0.9780948596575936,0.9780853860578407,0.9780626928336631,0.9780341783969083,0.9780137298091878,0.9779908332912698,0.9779692495830711,0.9779508790040892,0.9779354197593834,0.977900091901212,0.9778750527008739,0.977854163603973,0.9778340903809541,0.9778161488000349,0.977798813761205,0.9777800655264272,0.9777545090155522,0.9777366837465644,0.9777175929361321,0.9776991816477594,0.9776754247537187,0.9776602280920417,0.9776387097590233,0.9776017137561519,0.9775458105137045,0.9775210452049482,0.9775029934289388,0.9774507202985645,0.9774168130469509,0.9773921663448656,0.9773671462799828,0.9773280790487854,0.9773000951128336,0.9772682166927399,0.9772453885144397,0.9772299724884224,0.9772022009587845,0.9771741548324331,0.9771463627668823,0.977112312450507,0.9770820430059463,0.9770623507523104,0.9770444021919931,0.9770199563108473,0.976988043799643,0.9769632941302584,0.9769365304659612,0.976910815513016,0.9768827400634805,0.9768625334461198,0.9768152817665778,0.9767781432038422,0.9767591976643173,0.9767372759617492,0.9767239643244547,0.9766938381684471,0.9766634987312686,0.9766436755610413,0.9766235629583678,0.9765943887941633,0.9765753382834174,0.9765574299237785,0.9765318501759572,0.976505047917208,0.9764793167383475,0.976454342634582,0.976428447259284,0.9764081832700613,0.9763876121818,0.9763431318708796,0.9763136869893976,0.9762979972595256,0.9762697329421708,0.9762451827412512,0.976221916117723,0.97619432617158,0.9761726227986729,0.9761474072783904,0.9761311199101979,0.9761153948419236,0.9760896960550387,0.9760526619698686,0.9760297658297475,0.9760113489443822,0.975994993548815,0.9759766152222153,0.9759534339221788,0.975924451141349,0.9758958281560719,0.9758783152657746,0.9758623208829289,0.9758390753077607,0.9758183337145385,0.9757993435935438,0.9757670984164272,0.9757424903672993,0.9757145887200105,0.9756884953347691,0.975665743767808,0.9756416055025212,0.9756133191314392,0.9755947796945129,0.9755819573347748,0.975558204749337,0.975515856052801,0.9754846889406833,0.9754660212814497,0.9754442015574785,0.9754109482352689,0.9753820275289926,0.9753635465228561,0.9753451074680908,0.9753215455838296,0.9752889668918507,0.9752560358762303,0.9752257109714402,0.9751980426830158,0.975174409495903,0.975154431831576,0.9751175437904822,0.9750679298623022,0.975041248480174,0.9750154862394863,0.9749884066252084,0.9749510728602984,0.9749304883411296,0.97491433289647,0.9748926222584271,0.9748708044097498,0.9748362028761128,0.974812483715848,0.9747727017032878,0.9747405877266208,0.9747101697603998,0.9746882240547984,0.9746586024673809,0.9746268122288055,0.9746050640035717,0.9745843014547206,0.9745542537716352,0.9745237796390203,0.9744913840731415,0.9744643144954039,0.9744419140778471,0.974415364588074,0.9743731643105422,0.974338582557249,0.9743044024360812,0.9742736394897972,0.9742506533600646,0.9742328097424734,0.9742087982014369,0.9741824845674849,0.9741580141068895,0.9741292964927265,0.9741052588666691,0.9740861384681984,0.9740673548832878,0.9740380336430363,0.9740059050306236,0.9739812138118089,0.9739623182705155,0.97393213510908,0.9738915667736814,0.9738454534713377,0.9738080406372376,0.9737742520162616,0.9737379374255722,0.9737150628884029,0.9736931568333826,0.9736603530238612,0.9736256069600864,0.9735985673812717,0.9735791206699623,0.973555866727588,0.9735275439709712,0.9735003125920905,0.9734726080883699,0.9734434194687214,0.9734150725817652,0.973389781896207,0.9733483846524384,0.9733060276295692,0.9732733651998218,0.9732502274781545,0.9732099632689766,0.9731772529197575,0.9731479059731789,0.9731151648637073,0.973086899811944,0.9730574786968398,0.9730260339164113,0.9730015534474138,0.9729834253050014,0.9729515583085688,0.9729118716069811,0.9728857675910219,0.9728587549950015,0.9728235404026715,0.9727771731589052,0.9727355782573304,0.9726973557150398,0.9726576100051971,0.9726159477925114,0.9725738102610848,0.9725358675643514,0.9725085336506555,0.9724874393541469,0.9724646260992644,0.9724414748392715,0.9724184860492029,0.9723866972102266,0.97235928894681,0.9723276782027722,0.9722940600140075,0.9722609883356598,0.9722389964722538,0.9722130140128981,0.972191430051921,0.9721613092330521,0.9721356552882118,0.9721104459105938,0.9720963161549219,0.9720679071751157,0.9720348210339931,0.9720115224468892,0.9719773571773974,0.9719462268720057,0.9719243266714319,0.9718963701044597,0.9718617470574762,0.9718356098164274,0.9718132510122339,0.9717862718539647,0.9717631083775279,0.971732380659238,0.9716900767690524,0.9716698866451767,0.9716403374449429,0.9716187092301769,0.9715969501934919,0.9715803450634184,0.971538619857121,0.9715021932547321,0.9714705530768857,0.9714339262004309,0.9714058142928899,0.9713783375575762,0.9713432519821052,0.9712970394818555,0.971258139329734,0.9712295995579419,0.9712023972174116,0.9711601930874115,0.9711162181100015,0.9710838258044133,0.9710411724471747,0.9710034915764243,0.9709688065245914,0.9709514858706184,0.9709184083166754,0.9708713187962317,0.970835596579621,0.9707996262500141,0.9707622611769416,0.9707205006248576,0.9706784370408594,0.970656383149251,0.9706193932477515,0.9705834321303264,0.9705446194372691,0.970512411625357,0.970478101365781,0.9704494376170198,0.9704119940605132,0.9703780815648857,0.9703378546259812,0.9703031886505041,0.9702760705000575,0.9702485712361169,0.9702203668115618,0.9701894278488221,0.9701558994747578,0.9701086508633783,0.9700838922131108,0.9700589962842368,0.9700186548894159,0.9699833439278265,0.9699469125945188,0.9699048021855146,0.9698609515882382,0.9698064170737548,0.9697555121902584,0.969720939232352,0.9696892857750333,0.9696504505880545,0.9695953949545701,0.9695710129111568,0.9695382167878486,0.9695003611828414,0.9694724237234877,0.9694419870641064,0.9693994625747755,0.9693657268133424,0.9693044734145373,0.9692687830917335,0.9692481496164831,0.9692114621861054,0.9691734929800098,0.9691357305576227,0.9690802940326381,0.9690188896883041,0.9689843668514919,0.9689390846619914,0.9688926350371634,0.9688541062846859,0.9688244086402751,0.968787607558186,0.9687443257961312,0.9686993742391177,0.9686616221284525,0.968623255294567,0.9685889392241693,0.9685559450079912,0.9685278969274362,0.9684913383242106,0.9684620759226321,0.9684231736017803,0.9683926623566592,0.968352579278899,0.9683187047108716,0.968263730667322,0.968226866727835,0.9681915542981927,0.9681633434557142,0.9681225457611965,0.9680827857292649,0.9680481175503618,0.9680126414519323,0.9679780050350322,0.9679343158281781,0.9678938219816147,0.9678515363804822,0.96780618302952,0.967769846658525,0.9677341496114313,0.9677012980378119,0.9676638521400518,0.967628239268115,0.9675796774294378,0.9675385229860323,0.9674919680666678,0.9674382736409173,0.967390824926122,0.9673544069775399,0.9673113133278403,0.9672747321538842,0.9672058082426049,0.967160483550064,0.9671289961069237,0.967096828780105,0.9670541024817672,0.9670159163285142,0.9669733211207583,0.9669387746259488,0.9669016316023884,0.9668611629167094,0.966833047647383,0.966776338314355,0.9667468746839889,0.9667162377503798,0.9666828593121373,0.9666478996741715,0.9666072776115925,0.9665665642967469,0.966518578197948,0.966481613518652,0.9664488175837487,0.9664111800014298,0.9663783653037299,0.9663573723909251,0.9663217926896202,0.9662896063674793,0.9662491479334427,0.9662028076537961,0.9661650312960508,0.9661317549379025,0.9661065834154317,0.9660740608811806,0.9660325046553975,0.965993756740877,0.9659719988704616,0.9659439365908404,0.9659039258170752,0.9658763769224576,0.9658527230404411,0.9658186524361102,0.965782002497152,0.9657364452085373,0.9656930006393201,0.9656479878912925,0.9656154736672822,0.9655849591749806,0.9655564380779766,0.9655317215040291,0.965497161304018,0.9654544797338318,0.965403697724982,0.9653562210628933,0.9653155382676011,0.9652843760017384,0.9652494412928867,0.9652299847386421,0.9651853847240661,0.965153176114893,0.9651251985440217,0.9650925798222276,0.9650552272025121,0.9650192330636258,0.9649643444376844,0.9648981327374797,0.9648521353775315,0.9648249393380028,0.9647683101703,0.9647245825094837,0.9646819047518203,0.964649746277682,0.9646090685290172,0.9645806489446307,0.9645372607678113,0.9644876605677499,0.9644379750202012,0.9643927317122949,0.9643685270972433,0.9643419837294561,0.9643158233721827,0.9642908004916129,0.9642699920694094,0.9642361729330322,0.9642015246441591,0.9641579963402542,0.964117647209225,0.9640781244663108,0.9640363952169295,0.9639856687731267,0.9639402201356511,0.9638915629816451,0.963842804109373,0.9638000620842013,0.9637547030530802,0.9637110003047191,0.963675863021763,0.963644481672407,0.9636101158811183,0.9635776561097547,0.9635344120714995,0.9634802073802893,0.9634228614945497,0.9633861735622673,0.9633483064107189,0.963309503251819,0.9632723660644821,0.9632310268893212,0.9631859704799741,0.9631409794230079,0.9630819131281172,0.9630391663768643,0.9629833982732622,0.9629340755812619,0.9628936349378596,0.9628524319110016,0.9628074726843314,0.9627682553328155,0.9627282004965712,0.9626853023578497,0.9626429910307626,0.9626087828951347,0.9625574605992013,0.9625233745160375,0.9625007316037699,0.9624453453393162,0.9623997073233763,0.962362275685215,0.9623234953861907,0.9622775434731223,0.9622350637563265,0.9621905502655227,0.9621499622525371,0.9621063492496496,0.9620594667813993,0.9620215364288357,0.9619744869436104,0.9619320417441459,0.9618851103522932,0.961834689064434,0.9617895236901164,0.9617262151729102,0.9616713937478605,0.9616260891504171,0.9615841657356449,0.9615484682272886,0.961498305201187,0.9614490455993134,0.9614125316856312,0.9613715294756333,0.9613287869269975,0.961287959551144,0.9612474893700892,0.9612099045213063,0.9611593511155113,0.9611036702132683,0.9610533958353693,0.9610046521226685,0.9609662430517935,0.9609124129765687,0.960867036095809,0.9608200762047479,0.9607714135407077,0.960726963450065,0.9606928910053572,0.9606561796632909,0.9606126746246251,0.960575940027609,0.960536180222398,0.9605036834591321,0.9604420978911278,0.9603993709181143,0.9603616368879313,0.9603257176118868,0.9602752387781096,0.9602261953364637,0.9601857059057266,0.9601552561740658,0.9601153834967424,0.9600724012888029,0.9600326922747501,0.9599872659654756,0.9599448575351899,0.9599083791118002,0.9598620764191703,0.9598226568975627,0.9597907235054404,0.9597475899797875,0.9596922649595712,0.9596405422737531,0.95959712595,0.9595544625789492,0.959508917140767,0.9594615525542471,0.9594221808224714,0.9593889171013279,0.9593457317772409,0.9593058823718584,0.9592684858808922,0.9592221240900247,0.9591883744785812,0.9591618089076865,0.9591231193978733,0.9590858852053665,0.9590431843710775,0.9589972276623077,0.9589394640470253,0.9588911391250006,0.9588585681521893,0.9588032834488527,0.9587516645570824,0.9587153634224094,0.958664771613819,0.9585976453902288,0.9585363225832898,0.9584983975765762,0.9584639316124437,0.9584233212741465,0.9583901714634047,0.9583253135329881,0.9582894497913633,0.9582494189359376,0.9581902844566883,0.9581451233577539,0.9581051922012127,0.9580681889177329,0.9580166133028383,0.9579714318279829,0.9579156013273475,0.9578706433037172,0.9578249601532229,0.9577815477646097,0.9577323645996837,0.9576802058798951,0.9576132613540991,0.9575542538986279,0.9575198948041499,0.9574810041585997,0.9574462239835475,0.9574005515370898,0.9573539017713173,0.9573167260051183,0.9572820697207136,0.957248159180764,0.9571836757777008,0.9571288322250057,0.957079808458349,0.9570227552967558,0.9569687974595036,0.9569344400649965,0.9568898397941528,0.9568409998461971,0.956793864565201,0.9567470556858758,0.9567245064678502,0.9566868297726973,0.9566303729445655,0.9565819461392325,0.9565448501609373,0.9565013266822244,0.9564378075733748,0.9563780566786503,0.9563321520208375,0.9562794535827404,0.9562430563233045,0.9562031529334547,0.9561509182225091,0.9561148930917331,0.9560868485139005,0.9560416715413849,0.9560017688886469,0.9559465632898005,0.9559017055506493,0.9558558970173809,0.9558204804757676,0.9557927116065843,0.9557470836159463,0.955696677710099,0.9556489669580815,0.9556103299905181,0.9555588483618842,0.9555096461835175,0.9554718398633765,0.9554187165234713,0.9553536185464139,0.955297349568439,0.9552474396572228,0.9552111361508286,0.9551804939445693,0.9551429258098648,0.9550865388103924,0.9550420564852831,0.9549865490474587,0.954912717717835,0.9548566640283256,0.9547936704821243,0.9547423300589564,0.9547004139740318,0.9546514329988126,0.9546019541204558,0.9545570894146995,0.9545130690555798,0.9544677547624119,0.9544167911631445,0.9543580769638129,0.9543041314701726,0.9542291429273291,0.9541639577850725,0.9541021721553558,0.9540286466470673,0.9539639797532111,0.9539262969776306,0.9538855718544529,0.953837104890664,0.9537971582289984,0.9537578856492044,0.9536982238833143,0.9536405467435545,0.9535759110373743,0.9535184699475936,0.9534598001418202,0.9534120849026478,0.9533413467608068,0.9532883549793534,0.9532374740722287,0.9531886520855054,0.9531300671725567,0.9530653073215127,0.9529972731921765,0.9529582199146046,0.9529205829505785,0.9528668153123183,0.9528122746925927,0.9527692974374353,0.9527251429850552,0.9526549892037499,0.9525886524463397,0.9525340683575545,0.9524800306886583,0.9524254422485549,0.9523492060533738,0.9522780812800311,0.9522258006504285,0.9521813226990297,0.9521436255567566,0.9520843609435151,0.9520221774874198,0.9519727196963839,0.9519135100088845,0.9518663346504701,0.9518172692233174,0.9517581524620828,0.9517128879176697,0.9516509612271333,0.9516051931532978,0.9515550584644463,0.9515096588982073,0.9514502466573287,0.9513986456024177,0.9513469102543868,0.9512893509197078,0.9512169072891745,0.951153838247006,0.9510977668214096,0.9510419973388258,0.9509773651003786,0.9509109416639911,0.9508407033878465,0.9507750798657535,0.9507109708324493,0.9506556788949249,0.950606784504669,0.9505545022782013,0.9504821204977845,0.9504007039510161,0.9503481604313568,0.9503059104694564,0.9502620947433946,0.9501881924262503,0.9501284572224162,0.9500696854807837,0.9500201672939167,0.9499741499743658,0.9499219369403759,0.949871924564818,0.949804955415854,0.9497578345868609,0.9496975283571196,0.9496391501266555,0.9495972564013726,0.9495290658814981,0.9494621900482015,0.9494109952009842,0.9493549199911291,0.9493104452910399,0.949266192498363,0.949212646293039,0.9491670290874904,0.9491199666864343,0.9490524823254622,0.9489820415668588,0.9489221100575551,0.9488627831007613,0.9488159949408185,0.948769403576432,0.9487067162176586,0.9486547163232506,0.9486137713267767,0.9485537696402517,0.9484954981472181,0.9484388355047848,0.9483533580896035,0.9482806142283103,0.9482126880131394,0.948141949417248,0.9480817315414082,0.9480124655657531,0.9479452176806349,0.9478730232170951,0.9478141447956712,0.9477504536136787,0.9476977360088998,0.9476409723092678,0.9475711564754061,0.9475086029703303,0.947454753269902,0.9473918897250333,0.9473105557286832,0.9472523177856116,0.9471956203722665,0.9471500963993803,0.9471039390471809,0.9470490787781463,0.9470015612273327,0.9469391750347834,0.9468911869117483,0.9468396030721196,0.9467847876267541,0.9467035833072199,0.9466261318204667,0.9465772007765286,0.9465202293253501,0.9464634681513857,0.9464059615740215,0.9463377519851639,0.9462741002705621,0.9462277739967011,0.9461746613775492,0.9460980642824028,0.9460403395631598,0.9459719617213727,0.9458874256621963,0.945820011042138,0.9457664602029208,0.9457031386360373,0.9456425997242381,0.9455786312164396,0.945522290623495,0.9454751671096038,0.9453965006729077,0.9453342641127325,0.9452590578666042,0.9451973139823184,0.9451366261428815,0.9450572357040208,0.9449875798588436,0.9449319483668072,0.944853163983151,0.9447822427337583,0.9447052097469577,0.9446487131326927,0.9445839776732916,0.9445220032294126,0.9444583610426798,0.9443825504005201,0.9442931275913651,0.9442116975456876,0.9441318046585139,0.9440648075051314,0.9439889600722904,0.9439285031774214,0.9438538251450652,0.9437891204040945,0.9437243130228763,0.9436533728971566,0.9435913008176193,0.9435236804269296,0.9434506105859071,0.9433910420173138,0.9433370256242701,0.9432720131590826,0.9432038099380258,0.9431405310082112,0.9430732431850922,0.9430081215867125,0.9429430699221848,0.9428831929988559,0.9428196411902467,0.9427771597481266,0.9427099031718503,0.9426482362223066,0.9425740814772576,0.9424993937331942,0.9424214130119565,0.9423547876355242,0.9423217098583092,0.9422535600942279,0.942181177460248,0.9421174020235142,0.9420269677514703,0.941939352112471,0.9418969848907406,0.9418472545163827,0.941798892962388,0.9417422022258113,0.9416794012456455,0.9416090840752609,0.9415393047373488,0.9414688155422797,0.9414048319094587,0.9413327283324814,0.9412260382876387,0.941154046054907,0.9410922264002772,0.9410140421939532,0.9409635704565773,0.9409181073850149,0.9408452977594569,0.9407847681050139,0.9407147484456031,0.9406400965313932,0.9405802465616442,0.9405101671632882,0.9404446888514869,0.9403869890050875,0.9403205295668076,0.9402579757603272,0.9401954068261921,0.9401217906801731,0.9400543760446289,0.9399955670312653,0.9399323885359003,0.9398673363965326,0.9397936402778659,0.9397226151112155,0.9396590559182585,0.9396164760508202,0.9395664248627491,0.9395106678626165,0.9394659620462168,0.939405085317917,0.939349156537368,0.9392868271020827,0.9392227126092656,0.9391464348925436,0.9390804013302942,0.9390188600058487,0.9389535683040966,0.9388551896561053,0.9387942512613597,0.9387225355066783,0.9386546603193726,0.9385739703639446,0.9384848903493567,0.9384040774263662,0.9383232233537117,0.9382586253921763,0.9381858249275148,0.9380946181826803,0.9380068621375737,0.9379259350474969,0.9378516732925468,0.9377735052309284,0.9376876810360084,0.9376060216043935,0.9375312866355839,0.9374566332262813,0.9373855943895381,0.9372885828953692,0.9371910613958192,0.9371123097550245,0.9370404476473871,0.9369552009947533,0.9368633336776456,0.9367819083154899,0.9367087246123726,0.9366379786880219,0.9365509309519049,0.9364688825410301,0.9363928526356433,0.9363176786992555,0.936258048694145,0.9361902411329182,0.9361118988028825,0.9360227784396323,0.9359269591660391,0.9358453027498232,0.9357735954640747,0.9356922580435248,0.9355919994568591,0.9354979904683698,0.9354208506981696,0.9353322914076954,0.9352400990960045,0.9351583418342584,0.9350656975524814,0.9349887283304565,0.9349171242823846,0.9348296914463345,0.9347576888572595,0.9346753120273033,0.934586329750831,0.9345007087276312,0.9344033275008121,0.9342945630790068,0.9341921331755392,0.934104962783068,0.9340065526978321,0.9339152375876608,0.9338279971696688,0.9337467272259892,0.933664757375485,0.9335667205935058,0.9334625070184437,0.9333843947136469,0.9333010605628868,0.9332073616588756,0.9331251449060001,0.9330360097103236,0.932944191650855,0.9328817517676486,0.9328097811231955,0.9327083028717842,0.9326136221453198,0.9325193441914423,0.9324452896380928,0.9323398379839076,0.9322458887231536,0.9321656598810536,0.9320902453969762,0.9319949031888083,0.931894024609742,0.9317922404054743,0.9317238824246821,0.9316364091582414,0.9315376322062274,0.9314322716093606,0.9313153972207234,0.9312099228902737,0.931122769826534,0.9310204543293454,0.9309161093797523,0.930809592494444,0.9307192005540734,0.9306121249556262,0.9305016750590653,0.9304160653971519,0.930294160732889,0.9301995630254298,0.9301230646256834,0.9300209917099767,0.9298993831467937,0.9297700458605813,0.9296713060176979,0.9295712899404383,0.9294681940118937,0.9293244751700103,0.9292101987258423,0.9291272700680334,0.929028541554836,0.928920386442147,0.9288332988879469,0.9287464159061416,0.928637217978519,0.9285353529525051,0.9284565723453588,0.9283597639845034,0.9282617620019158,0.9281704219416291,0.9280673642432649,0.9279714477749978,0.9278632434517068,0.9277600959150727,0.9276582962022272,0.9275396802609359,0.9274481891366854,0.9273696751793825,0.9272777130125343,0.9271581251344916,0.9270689727676156,0.92697962409515,0.9268665150380809,0.9267581894788958,0.9266208660627128,0.926510262914739,0.9264326979767733,0.9263450896193393,0.9262492249986978,0.9261429937604324,0.9260322753585579,0.9259478625025419,0.9258152087907774,0.9257246403984185,0.9256091729815311,0.9254851929194086,0.9253558618708251,0.9252426221469198,0.9251360605304431,0.9250804928334989,0.9249913826959487,0.9248861652881635,0.9247875414332759,0.9246875260214592,0.9245953408466766,0.9244943075336225,0.9243881487331372,0.9242615480036578,0.9241406278253357,0.9240424363494197,0.9239586394358614,0.9238690476506475,0.9237774011612321,0.9236673258338319,0.9235718183964368,0.923465281969002,0.9233664702587114,0.9232538796567632,0.9231663496973976,0.92304693610682,0.9229396688140841,0.9228259304228374,0.9227144884062424,0.922611465169507,0.9225123791306538,0.9224003049938096,0.9222936593240547,0.9221683538868883,0.922055836510427,0.9219660270770702,0.9218517316181776,0.9217358784555142,0.9216410124069241,0.9215520718939754,0.9214593895432021,0.921368329153202,0.9212752552278001,0.9211722239595848,0.9210613892746592,0.9209274699210053,0.9208115926110519,0.9207234644744646,0.9206185380460791,0.9205008294306396,0.9203908140973738,0.9202717433158003,0.9201717500271597,0.9200442742258939,0.9199275368194204,0.919803736091829,0.9196978156852497,0.9196057287792889,0.9194918570471902,0.919381239543171,0.9192187349564636,0.9190845448253759,0.9189833190503034,0.9188707746854372,0.918773733977283,0.9186682442856902,0.918569292587673,0.9184653705055272,0.9183466833291756,0.9182415634631655,0.918142406919104,0.9180138653354716,0.9178708772964327,0.9177506693193475,0.9176465096966677,0.9175380710194698,0.9173961850365773,0.9172556208039169,0.9171429231077199,0.9169935221865306,0.9168728367517707,0.9167465236568026,0.9166214919699431,0.9164808281913583,0.9163705173532337,0.9162679237141969,0.9161284907754523,0.9160371089901473,0.9159451607178202,0.9158075138523043,0.9156947504070821,0.9156070722141764,0.9155041313157368,0.9153601147483696,0.9152652672166377,0.9151258681970489,0.9150425928628478,0.9149404892399124,0.914815697828941,0.9147011102619728,0.9145971666059411,0.9144944483270662,0.9143634960712155,0.9142236075604143,0.9140984618074797,0.9139969870152251,0.91387380330744,0.9137555014592367,0.913680051665658,0.9135945589492072,0.9135014847674843,0.913376655724649,0.9132279888836645,0.9130946975398136,0.9129736910677047,0.9128810066384161,0.9127755350146076,0.912659620767827,0.9125377237985366,0.9123953294332163,0.9122471754363499,0.9121169460601224,0.9119989931083732,0.9118804788426698,0.9117472492132666,0.9116094924652957,0.9115131368127125,0.911372793875974,0.9112474732682218,0.9111198651771462,0.9110140542805021,0.9108881229477448,0.9107819966679732,0.9106608968133978,0.91051812188143,0.910375358790195,0.9102444522579438,0.9101146957476929,0.9099563080682358,0.9098286348195902,0.909715772702294,0.909577301306089,0.9094516976216902,0.9093171880972891,0.9091969641567412,0.9090614509785391,0.9089431016147574,0.9087969002808636,0.9086444422881224,0.9085010979662436,0.9083547151354474,0.9082067193912804,0.9080621264579931,0.9079448956490352,0.9078139769773248,0.9076554234053695,0.9075297743573048,0.9074002896633553,0.9072802403865192,0.9071614131601371,0.907039144233152,0.906885578891441,0.9067478366461055,0.9066381242664486,0.9065056507577767,0.906366475564764,0.9062180825523167,0.9060499413157219,0.9058683763284716,0.9057099261086573,0.9055591775168761,0.9053838033694404,0.9052281987635661,0.9050690429818008,0.9049610440354108,0.9048209907022834,0.9046599020462714,0.9045231213333587,0.9043893289446816,0.9042397930711574,0.9040178260229172,0.9038612448138141,0.903734675717785,0.9036323313750458,0.903486056465364,0.9033379397516401,0.9031868773604628,0.903048950424294,0.9028979098451141,0.9027328903663945,0.9025541949555586,0.9024400682102418,0.902246048177135,0.902101035083213,0.9019191326559906,0.9017454147372638,0.9015755211116528,0.9014139631933348,0.9012388549377022,0.9010685443778779,0.900960867247093,0.9008553712518754,0.9007287703960002,0.900592309419193,0.90045636291132,0.9002890177177685,0.9001428471661885,0.899971137668826,0.8997889006314492,0.8996473245475956,0.8995278183242018,0.8993391940995106,0.8991787692698445,0.8990289592344185,0.8988223752885531,0.8986530153385854,0.8984824296362433,0.8983462088185046,0.8982198662083929,0.8980692574593363,0.8979114118773927,0.8977823920638545,0.8976221550127395,0.8974339454144252,0.8972683159564709,0.8971308793384356,0.8969816044003951,0.8967943739697293,0.8966296801533322,0.8964333877621388,0.8962511612533712,0.8961013672844931,0.8959154579507468,0.8957617464101115,0.8956162950419503,0.895434101546923,0.895302821702465,0.895141430364109,0.8949336455113218,0.8947784276694747,0.8945971491407083,0.8943880485102553,0.8942051953470733,0.894039118825519,0.8938526790610954,0.8936924070519126,0.8935039154533924,0.8933115203073463,0.893117409812505,0.8929334127560189,0.8927217582157925,0.8925598277185052,0.8923559622871429,0.8921903208899563,0.8920214471315524,0.8918346396772769,0.8916475125128033,0.8914035006541137,0.8911755538561699,0.8910119042069391,0.8908256306804329,0.8905936279878834,0.8903964486195819,0.890215139553618,0.8899994463695913,0.8897505610555296,0.8895476280948301,0.8893868675742669,0.8892463532925834,0.8890477949089903,0.8888542236813715,0.8886832814893002,0.8884202869503526,0.8881137870882231,0.8878720254529918,0.8877279620145906,0.8875327867176234,0.8873423667462977,0.8871545989545131,0.886952348719413,0.8866747317390914,0.8864530059824857,0.8862913248513354,0.8860749427153416,0.8859299504791273,0.8856822833545512,0.8854126719071438,0.8851545658829747,0.8849273018199291,0.8847128233556889,0.884518083855201,0.8842895522984486,0.8840984867664761,0.8838366824160038,0.8835872192987604,0.883376337240012,0.8831631142515299,0.8829652970747939,0.882774542483488,0.8825436971400007,0.8823594869829549,0.8821221098307683,0.8818952453571467,0.8816703615975017,0.8814644987623743,0.8812480176565438,0.8810220546712233,0.8808198463882729,0.8806174222312204,0.880429288760657,0.880215199978146,0.8799898083743143,0.8797787091086076,0.87958552380241,0.8793552303592533,0.8791540087393264,0.8789691165436113,0.8787482360965684,0.8785289899681259,0.8783099365362969,0.878082365821721,0.8778848980299859,0.8776887470875391,0.8774988618802861,0.8772838696367059,0.8770426017717357,0.8768294621712716,0.8765841624472714,0.8763317777982128,0.8760902909290897,0.8758951841558187,0.8756794451730658,0.8754457593415577,0.8751879307392214,0.8750264459374573,0.8748234557983505,0.8746293395596472,0.8744020035517389,0.8741263216104411,0.8738742457457385,0.8736269855393546,0.873402864696909,0.8732315229506052,0.8729869196515088,0.8727768981098747,0.872556532956587,0.8722817477078775,0.8720615321306867,0.8718607210172604,0.871685747739755,0.8714831950544273,0.8712480486692027,0.8710441210778137,0.8708160356460857,0.870581904335347,0.870269178290066,0.8700204920591645,0.8698208118129258,0.8696402291649701,0.8694002987304545,0.8691226347951383,0.8688996181776865,0.868648951910574,0.8683644429611588,0.8681552994468225,0.8679053304062432,0.8676251163000746,0.867351184093233,0.8671125765719055,0.8668362830459333,0.866549255206202,0.8663162896324145,0.8660942821215216,0.8658748168474428,0.8656925352921923,0.8654226949332446,0.8651408815157982,0.8648601157662341,0.8645918588020819,0.8643320378587033,0.8641433537603894,0.8639053904025444,0.863655318501352,0.8634099735469548,0.8631424800327022,0.8629279300346113,0.8627378125378133,0.8625222764406957,0.8622677212459816,0.8619732925784656,0.8617270151819533,0.8614412568067676,0.86117570734294,0.8609291554433931,0.8606323971202159,0.8603530621878109,0.860105893265894,0.8598682840961187,0.8595826499442407,0.8592451614121359,0.8590146082736669,0.858756750257338,0.8584266964653566,0.8581482346358273,0.8578726243977554,0.8576504388398221,0.8573942133204706,0.8571188377725355,0.8568339775704787,0.8565826646904497,0.8563331453757246,0.8560542984171513,0.8557943480758775,0.8555818369623795,0.8553421349289769,0.8550504783703787,0.8547543141634666,0.8544825328344479,0.854177178999637,0.8539106394963989,0.8536283537438234,0.8533297337865384,0.853081739783242,0.8527867670036192,0.8524989901587501,0.8522125881591794,0.851881830032398,0.8515826165816242,0.8513453635320347,0.8510782940210928,0.8507720419043527,0.850472977735633,0.8501980541290739,0.8498743004591673,0.8496423887782394,0.8494332046851472,0.8490960449816848,0.8487428914840534,0.8483436967361222,0.8480506278540614,0.847817946794412,0.8475693733985827,0.8472747200728441,0.8470634405874047,0.8466292467586041,0.8462815883642677,0.8460049972447198,0.8456655447456267,0.8453408113750809,0.8450565489963126,0.8447565057456101,0.8444476841421811,0.8440844641929384,0.8437580344587688,0.8434364052661314,0.8431002635881846,0.8428321237984209,0.8424742315601539,0.8421687970980498,0.8418873156119187,0.841611011249274,0.8413690333446089,0.8410525417055303,0.8406642437434955,0.8403700437313366,0.8400814890777656,0.8397938060555568,0.8395329379031999,0.8392881871638637,0.8390105076201013,0.8387335843237349,0.8384501226836147,0.8381365174828531,0.8377986788319096,0.8374548679516003,0.837102709421087,0.8367351282115015,0.8364283178486189,0.8361568838154695,0.8357802856935264,0.8353917225615413,0.835028430565986,0.8347298908254432,0.8344585593901004,0.8341787209522178,0.8338357162247552,0.8334201502355432,0.8329983560165906,0.8326400854775144,0.8323570338138513,0.8319984406404493,0.8316069854303967,0.831264462984247,0.8309310779662947,0.8306405743647023,0.8303666755180594,0.8300312958063125,0.8296076720881272,0.8292487818651957,0.8289008603565307,0.8284867621365879,0.8281386385282856,0.8278303804903677,0.8274815329084131,0.8271634694337666,0.8268781082203643,0.8265997330855648,0.8263331719356172,0.8259969411526603,0.825519571554238,0.8251310533552368,0.8247692283932482,0.8243332437595977,0.8239241291546913,0.8235837050296846,0.8232757371771091,0.8229570068294716,0.8226106909676876,0.8221678703659432,0.8218013974774518,0.8214798749766878,0.8211815924309835,0.8208937149011558,0.8205296865316485,0.8201818638969232,0.8198286654903357,0.8194240452554841,0.8190182901462095,0.8186140290110858,0.8181816383469291,0.8177491554045764,0.8173644167342357,0.8170108889510679,0.8165773050437799,0.8161632495813074,0.8157428691472939,0.8153441340476186,0.8150005729432772,0.8146233308268572,0.8142320812100996,0.8138635125230057,0.8134649555649847,0.8131019992151782,0.8126935440945665,0.812201699583416,0.8117455167272929,0.8112616217887717,0.810817423738549,0.8104095033392509,0.809987403250754,0.8096418572359583,0.8091129609518706,0.808609670424456,0.8081890233300693,0.8077088575595937,0.8071820406289762,0.8065625684246457,0.8060235325986203,0.8055639221574677,0.8050763621271211,0.8046517965422397,0.804141367876684,0.8036485027695998,0.8032377094625001,0.802814846214273,0.8023253055851765,0.8019675504818976,0.8015154536782361,0.8010948241158372,0.800615961799386,0.8001026224026926,0.7996642462932099,0.7992376308950528,0.7988280149876836,0.7984136491629537,0.7979435911943706,0.7974030288077834,0.7969035349694609,0.7964781806300483,0.7960683160649147,0.795624354113591,0.7951368978174974,0.7946368164871167,0.7941418796985985,0.7937005994269355,0.7932843374713586,0.7928372643605125,0.7923381385334269,0.7918955958422639,0.7914191621077358,0.7909296513355923,0.7905010069635596,0.7900092697456879,0.7895278721346074,0.7890481828025429,0.7886033527370697,0.7881824714369042,0.7876718667071854,0.7872415543441262,0.7867630191585181,0.7862863087102976,0.7857767636325398,0.7852216962930523,0.7846351373701416,0.7842513320626356,0.7837941407372813,0.7832139360622069,0.782729413451549,0.7822427192502011,0.7818329362017842,0.781385556129103,0.7809196203694735,0.7804785344824412,0.7800462436509967,0.7795465164881392,0.7790679685997801,0.7785797776928463,0.7780268170172088,0.7774608449186815,0.777003987995887,0.7763949763278315,0.7758141379321437,0.7752825008861843,0.774673994852954,0.7741802328549361,0.7736594616372533,0.7731562218169044,0.7725507181805197,0.7720162105334621,0.7713830430341864,0.7707873065136535,0.7701959051329413,0.7697138604773279,0.7691048488181047,0.7686636668102,0.7679470566824109,0.7674833679819736,0.7670110180592724,0.766529591359673,0.7658939903199926,0.7651489426458784,0.7645661917404427,0.7638239358898382,0.7632260651206366,0.762520417251912,0.7620240410786971,0.7614567499421474,0.7608304883405006,0.7603189727167647,0.7598060758648191,0.7592811595040112,0.7587160275636118,0.7581602185328316,0.7577202927983933,0.7571344759828806,0.7565054638890991,0.7559631948831891,0.7554022408590094,0.7547477130725861,0.7542030623955392,0.753613946731847,0.7530162047008155,0.7523652376997758,0.7517954560917403,0.7513012234833472,0.7508444787140207,0.7502597536732643,0.7495799380714043,0.7489867847339338,0.7483334677716859,0.7477168561822913,0.747101603654988,0.7465836703786697,0.7459136824270336,0.7453008964779582,0.7445924860076003,0.7438906650722593,0.7431651667899573,0.7424879183718175,0.7419216119705503,0.7413594617778,0.7406735384334765,0.739958713526585,0.7392404967996835,0.7386211949544428,0.7381158459774915,0.7375141612730165,0.7368821998150608,0.736240986976723,0.7355640335367797,0.7348374139876503,0.7342085887998664,0.7335425501038342,0.7330169592425979,0.7323294994473368,0.7315821554436133,0.7308266614180676,0.7300713814965177,0.7294510970159338,0.7289072694095016,0.7282297040058063,0.7275624966886122,0.7270009292306091,0.7263642556593735,0.7256982622897378,0.7250690034404657,0.7243866122888508,0.7236710409167157,0.7231011908984984,0.7224749814371347,0.7219522036073192,0.7213947086401696,0.7207128812528878,0.7200466245514872,0.7192834719728872,0.7185315196204679,0.7178464029506104,0.7171901980627222,0.7165837901809241,0.7159889849327206,0.7153328367326955,0.7145630181334393,0.7137720146820469,0.7130817128289488,0.7158476266297324,0.7152715161528134,0.7145886539754558,0.713783547436522,0.7131321723670887,0.714894792589721,0.7148222226903694,0.7140276692190417,0.7133959336009004,0.7127749562153014,0.7120875837457973,0.7113432137477227,0.7106879985125337,0.7100566264330438,0.7093168257736366,0.7124306975493325,0.7116961156745136,0.712068305745718,0.7116255775938067,0.7119205360200974,0.7111397901717196,0.7107662415680541,0.7106479601418939,0.7102518757556361,0.709653745156763,0.7100164471098971,0.7096486610914682,0.7090869844195778,0.7096207218505677,0.709836360516815,0.709812157767528,0.7092876332281567,0.7084557834913646,0.7079479102901385,0.7089698859229829,0.7082018290170534,0.7079186998302188,0.7084429425009463,0.7090148696617071,0.7086041411031785,0.7082406962103917,0.7085317702620553,0.7088838780116874,0.7091104864168751,0.708507203452664,0.710006473657576,0.710336170386333,0.7121264087892367,0.7116859384260936,0.7127675290326494,0.7127653516070397,0.7119456915738032,0.712842657844379,0.7122349935220599,0.7114235039584551,0.7105955643801458,0.7100882251984775,0.7095882399237767,0.7220447529633731,0.7213278911419847,0.7206485481040413,0.7199294029328167,0.7192001201504593,0.7184310302681229,0.7175634874387226,0.7167502459385939,0.7159418139743753,0.7154561004378909,0.7147227591133237,0.71381952840373,0.7130318086540668,0.7123409341445706,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},{\\\"hoverinfo\\\":\\\"skip\\\",\\\"line\\\":{\\\"color\\\":\\\"rgba(0, 125, 125, 1)\\\",\\\"width\\\":0.0},\\\"mode\\\":\\\"lines\\\",\\\"name\\\":\\\"\\\",\\\"showlegend\\\":false,\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.5,0.5001,0.5002,0.5003,0.5004,0.5005,0.5006,0.5007,0.5008,0.5009,0.501,0.5011,0.5012,0.5013,0.5014,0.5015,0.5016,0.5017,0.5018,0.5019,0.502,0.5021,0.5022,0.5023,0.5024,0.5025,0.5026,0.5027,0.5028,0.5029,0.503,0.5031,0.5032,0.5033,0.5034,0.5035,0.5036,0.5037,0.5038,0.5039,0.504,0.5041,0.5042,0.5043,0.5044,0.5045,0.5046,0.5047,0.5048,0.5049,0.505,0.5051,0.5052,0.5053,0.5054,0.5055,0.5056,0.5057,0.5058,0.5059,0.506,0.5061,0.5062,0.5063,0.5064,0.5065,0.5066,0.5067,0.5068,0.5069,0.507,0.5071,0.5072,0.5073,0.5074,0.5075,0.5076,0.5077,0.5078,0.5079,0.508,0.5081,0.5082,0.5083,0.5084,0.5085,0.5086,0.5087,0.5088,0.5089,0.509,0.5091,0.5092,0.5093,0.5094,0.5095,0.5096,0.5097,0.5098,0.5099,0.51,0.5101,0.5102,0.5103,0.5104,0.5105,0.5106,0.5107,0.5108,0.5109,0.511,0.5111,0.5112,0.5113,0.5114,0.5115,0.5116,0.5117,0.5118,0.5119,0.512,0.5121,0.5122,0.5123,0.5124,0.5125,0.5126,0.5127,0.5128,0.5129,0.513,0.5131,0.5132,0.5133,0.5134,0.5135,0.5136000000000001,0.5137,0.5138,0.5139,0.514,0.5141,0.5142,0.5143,0.5144,0.5145,0.5146,0.5147,0.5148,0.5149,0.515,0.5151,0.5152,0.5153,0.5154,0.5155,0.5156,0.5157,0.5158,0.5159,0.516,0.5161,0.5162,0.5163,0.5164,0.5165,0.5166,0.5167,0.5168,0.5169,0.517,0.5171,0.5172,0.5173,0.5174,0.5175,0.5176,0.5177,0.5178,0.5179,0.518,0.5181,0.5182,0.5183,0.5184,0.5185,0.5186,0.5187,0.5188,0.5189,0.519,0.5191,0.5192,0.5193,0.5194,0.5195,0.5196,0.5197,0.5198,0.5199,0.52,0.5201,0.5202,0.5203,0.5204,0.5205,0.5206,0.5207,0.5208,0.5209,0.521,0.5211,0.5212,0.5213,0.5214,0.5215,0.5216,0.5217,0.5218,0.5219,0.522,0.5221,0.5222,0.5223,0.5224,0.5225,0.5226,0.5227,0.5228,0.5229,0.523,0.5231,0.5232,0.5233,0.5234,0.5235,0.5236,0.5237,0.5238,0.5239,0.524,0.5241,0.5242,0.5243,0.5244,0.5245,0.5246,0.5246999999999999,0.5248,0.5249,0.525,0.5251,0.5252,0.5253,0.5254,0.5255,0.5256,0.5257000000000001,0.5258,0.5259,0.526,0.5261,0.5262,0.5263,0.5264,0.5265,0.5266,0.5267,0.5268,0.5269,0.527,0.5271,0.5272,0.5273,0.5274,0.5275,0.5276,0.5277000000000001,0.5278,0.5279,0.528,0.5281,0.5282,0.5283,0.5284,0.5285,0.5286,0.5287,0.5288,0.5289,0.529,0.5291,0.5292,0.5293,0.5294,0.5295,0.5296,0.5297,0.5298,0.5299,0.53,0.5301,0.5302,0.5303,0.5304,0.5305,0.5306,0.5307,0.5308,0.5309,0.531,0.5311,0.5312,0.5313,0.5314,0.5315,0.5316,0.5317,0.5318,0.5319,0.532,0.5321,0.5322,0.5323,0.5324,0.5325,0.5326,0.5327,0.5328,0.5329,0.533,0.5331,0.5332,0.5333,0.5334,0.5335,0.5336,0.5337,0.5338,0.5339,0.534,0.5341,0.5342,0.5343,0.5344,0.5345,0.5346,0.5347,0.5348,0.5349,0.535,0.5351,0.5352,0.5353,0.5354,0.5355,0.5356,0.5357,0.5358,0.5359,0.536,0.5361,0.5362,0.5363,0.5364,0.5365,0.5366,0.5367,0.5367999999999999,0.5369,0.537,0.5371,0.5372,0.5373,0.5374,0.5375,0.5376,0.5377,0.5378000000000001,0.5379,0.538,0.5381,0.5382,0.5383,0.5384,0.5385,0.5386,0.5387,0.5388,0.5389,0.539,0.5391,0.5392,0.5393,0.5394,0.5395,0.5396,0.5397,0.5398000000000001,0.5399,0.54,0.5401,0.5402,0.5403,0.5404,0.5405,0.5406,0.5407,0.5408,0.5409,0.541,0.5411,0.5412,0.5413,0.5414,0.5415,0.5416,0.5417,0.5418000000000001,0.5419,0.542,0.5421,0.5422,0.5423,0.5424,0.5425,0.5426,0.5427,0.5428,0.5429,0.543,0.5431,0.5432,0.5433,0.5434,0.5435,0.5436,0.5437,0.5438,0.5439,0.544,0.5441,0.5442,0.5443,0.5444,0.5445,0.5446,0.5447,0.5448,0.5449,0.545,0.5451,0.5452,0.5453,0.5454,0.5455,0.5456,0.5457,0.5458,0.5459,0.546,0.5461,0.5462,0.5463,0.5464,0.5465,0.5466,0.5467,0.5468,0.5469,0.547,0.5471,0.5472,0.5473,0.5474,0.5475,0.5476,0.5477,0.5478,0.5479,0.548,0.5481,0.5482,0.5483,0.5484,0.5485,0.5486,0.5487,0.5488,0.5488999999999999,0.549,0.5491,0.5492,0.5493,0.5494,0.5495,0.5496,0.5497,0.5498,0.5499,0.55,0.5501,0.5502,0.5503,0.5504,0.5505,0.5506,0.5507,0.5508,0.5509,0.551,0.5511,0.5512,0.5513,0.5514,0.5515,0.5516,0.5517,0.5518,0.5519000000000001,0.552,0.5521,0.5522,0.5523,0.5524,0.5525,0.5526,0.5527,0.5528,0.5529,0.553,0.5531,0.5532,0.5533,0.5534,0.5535,0.5536,0.5537,0.5538,0.5539000000000001,0.554,0.5541,0.5542,0.5543,0.5544,0.5545,0.5546,0.5547,0.5548,0.5549,0.555,0.5551,0.5552,0.5553,0.5554,0.5555,0.5556,0.5557,0.5558,0.5559000000000001,0.556,0.5561,0.5562,0.5563,0.5564,0.5565,0.5566,0.5567,0.5568,0.5569,0.557,0.5571,0.5572,0.5573,0.5574,0.5575,0.5576,0.5577,0.5578,0.5579,0.558,0.5581,0.5582,0.5583,0.5584,0.5585,0.5586,0.5587,0.5588,0.5589,0.559,0.5591,0.5592,0.5593,0.5594,0.5595,0.5596,0.5597,0.5598,0.5599,0.56,0.5601,0.5602,0.5603,0.5604,0.5605,0.5606,0.5607,0.5608,0.5609,0.561,0.5611,0.5612,0.5613,0.5614,0.5615,0.5616,0.5617,0.5618,0.5619,0.562,0.5621,0.5622,0.5623,0.5624,0.5625,0.5626,0.5627,0.5628,0.5629,0.563,0.5631,0.5632,0.5633,0.5634,0.5635,0.5636,0.5637,0.5638,0.5639,0.5640000000000001,0.5641,0.5642,0.5643,0.5644,0.5645,0.5646,0.5647,0.5648,0.5649,0.565,0.5651,0.5652,0.5653,0.5654,0.5655,0.5656,0.5657,0.5658,0.5659,0.5660000000000001,0.5661,0.5662,0.5663,0.5664,0.5665,0.5666,0.5667,0.5668,0.5669,0.567,0.5671,0.5672,0.5673,0.5674,0.5675,0.5676,0.5677,0.5678,0.5679,0.5680000000000001,0.5681,0.5682,0.5683,0.5684,0.5685,0.5686,0.5687,0.5688,0.5689,0.569,0.5691,0.5692,0.5693,0.5694,0.5695,0.5696,0.5697,0.5698,0.5699,0.5700000000000001,0.5701,0.5702,0.5703,0.5704,0.5705,0.5706,0.5707,0.5708,0.5709,0.571,0.5710999999999999,0.5712,0.5713,0.5714,0.5715,0.5716,0.5717,0.5718,0.5719,0.5720000000000001,0.5721,0.5722,0.5723,0.5724,0.5725,0.5726,0.5727,0.5728,0.5729,0.573,0.5730999999999999,0.5732,0.5733,0.5734,0.5735,0.5736,0.5737,0.5738,0.5739,0.5740000000000001,0.5741,0.5742,0.5743,0.5744,0.5745,0.5746,0.5747,0.5748,0.5749,0.575,0.5751,0.5752,0.5753,0.5754,0.5755,0.5756,0.5757,0.5758,0.5759,0.576,0.5761000000000001,0.5762,0.5763,0.5764,0.5765,0.5766,0.5767,0.5768,0.5769,0.577,0.5771,0.5772,0.5773,0.5774,0.5775,0.5776,0.5777,0.5778,0.5779,0.578,0.5781000000000001,0.5782,0.5783,0.5784,0.5785,0.5786,0.5787,0.5788,0.5789,0.579,0.5791,0.5792,0.5793,0.5794,0.5795,0.5796,0.5797,0.5798,0.5799,0.58,0.5801000000000001,0.5802,0.5803,0.5804,0.5805,0.5806,0.5807,0.5808,0.5809,0.581,0.5811,0.5812,0.5813,0.5814,0.5815,0.5816,0.5817,0.5818,0.5819,0.582,0.5821000000000001,0.5822,0.5823,0.5824,0.5825,0.5826,0.5827,0.5828,0.5829,0.583,0.5831,0.5832,0.5833,0.5834,0.5835,0.5836,0.5837,0.5838,0.5839,0.584,0.5841000000000001,0.5842,0.5843,0.5844,0.5845,0.5846,0.5847,0.5848,0.5849,0.585,0.5851,0.5851999999999999,0.5853,0.5854,0.5855,0.5856,0.5857,0.5858,0.5859,0.586,0.5861000000000001,0.5862,0.5863,0.5864,0.5865,0.5866,0.5867,0.5868,0.5869,0.587,0.5871,0.5871999999999999,0.5873,0.5874,0.5875,0.5876,0.5877,0.5878,0.5879,0.588,0.5881,0.5882000000000001,0.5883,0.5884,0.5885,0.5886,0.5887,0.5888,0.5889,0.589,0.5891,0.5892,0.5893,0.5894,0.5895,0.5896,0.5897,0.5898,0.5899,0.59,0.5901,0.5902000000000001,0.5903,0.5904,0.5905,0.5906,0.5907,0.5908,0.5909,0.591,0.5911,0.5912,0.5913,0.5914,0.5915,0.5916,0.5917,0.5918,0.5919,0.592,0.5921,0.5922000000000001,0.5923,0.5924,0.5925,0.5926,0.5927,0.5928,0.5929,0.593,0.5931,0.5932,0.5933,0.5934,0.5935,0.5936,0.5937,0.5938,0.5939,0.594,0.5941,0.5942000000000001,0.5943,0.5944,0.5945,0.5946,0.5947,0.5948,0.5949,0.595,0.5951,0.5952,0.5953,0.5954,0.5955,0.5956,0.5957,0.5958,0.5959,0.596,0.5961,0.5962000000000001,0.5963,0.5964,0.5965,0.5966,0.5967,0.5968,0.5969,0.597,0.5971,0.5972,0.5973,0.5974,0.5975,0.5976,0.5977,0.5978,0.5979,0.598,0.5981,0.5982000000000001,0.5983,0.5984,0.5985,0.5986,0.5987,0.5988,0.5989,0.599,0.5991,0.5992,0.5992999999999999,0.5994,0.5995,0.5996,0.5997,0.5998,0.5999,0.6,0.6001,0.6002000000000001,0.6003000000000001,0.6004,0.6005,0.6006,0.6007,0.6008,0.6009,0.601,0.6011,0.6012,0.6013,0.6014,0.6015,0.6016,0.6017,0.6018,0.6019,0.602,0.6021,0.6022,0.6023000000000001,0.6024,0.6025,0.6026,0.6027,0.6028,0.6029,0.603,0.6031,0.6032,0.6033,0.6034,0.6035,0.6036,0.6037,0.6038,0.6039,0.604,0.6041,0.6042,0.6043000000000001,0.6044,0.6045,0.6046,0.6047,0.6048,0.6049,0.605,0.6051,0.6052,0.6053,0.6054,0.6055,0.6056,0.6057,0.6058,0.6059,0.606,0.6061,0.6062,0.6063000000000001,0.6064,0.6065,0.6066,0.6067,0.6068,0.6069,0.607,0.6071,0.6072,0.6073,0.6074,0.6075,0.6076,0.6077,0.6078,0.6079,0.608,0.6081,0.6082,0.6083000000000001,0.6084,0.6085,0.6086,0.6087,0.6088,0.6089,0.609,0.6091,0.6092,0.6093,0.6094,0.6095,0.6096,0.6097,0.6098,0.6099,0.61,0.6101,0.6102,0.6103000000000001,0.6104,0.6105,0.6106,0.6107,0.6108,0.6109,0.611,0.6111,0.6112,0.6113,0.6113999999999999,0.6115,0.6116,0.6117,0.6118,0.6119,0.612,0.6121,0.6122,0.6123000000000001,0.6124,0.6125,0.6126,0.6127,0.6128,0.6129,0.613,0.6131,0.6132,0.6133,0.6134,0.6135,0.6136,0.6137,0.6138,0.6139,0.614,0.6141,0.6142,0.6143,0.6144000000000001,0.6145,0.6146,0.6147,0.6148,0.6149,0.615,0.6151,0.6152,0.6153,0.6154,0.6155,0.6156,0.6157,0.6158,0.6159,0.616,0.6161,0.6162,0.6163,0.6164000000000001,0.6165,0.6166,0.6167,0.6168,0.6169,0.617,0.6171,0.6172,0.6173,0.6174,0.6175,0.6176,0.6177,0.6178,0.6179,0.618,0.6181,0.6182,0.6183,0.6184000000000001,0.6185,0.6186,0.6187,0.6188,0.6189,0.619,0.6191,0.6192,0.6193,0.6194,0.6195,0.6196,0.6197,0.6198,0.6199,0.62,0.6201,0.6202,0.6203,0.6204000000000001,0.6205,0.6206,0.6207,0.6208,0.6209,0.621,0.6211,0.6212,0.6213,0.6214,0.6215,0.6216,0.6217,0.6218,0.6219,0.622,0.6221,0.6222,0.6223,0.6224000000000001,0.6225,0.6226,0.6227,0.6228,0.6229,0.623,0.6231,0.6232,0.6233,0.6234,0.6235,0.6236,0.6237,0.6238,0.6239,0.624,0.6241,0.6242,0.6243,0.6244000000000001,0.6245,0.6246,0.6247,0.6248,0.6249,0.625,0.6251,0.6252,0.6253,0.6254,0.6255,0.6256,0.6257,0.6258,0.6259,0.626,0.6261,0.6262,0.6263,0.6264000000000001,0.6265000000000001,0.6266,0.6267,0.6268,0.6269,0.627,0.6271,0.6272,0.6273,0.6274,0.6275,0.6276,0.6277,0.6278,0.6279,0.628,0.6281,0.6282,0.6283,0.6284000000000001,0.6285000000000001,0.6286,0.6287,0.6288,0.6289,0.629,0.6291,0.6292,0.6293,0.6294,0.6295,0.6295999999999999,0.6297,0.6298,0.6299,0.63,0.6301,0.6302,0.6303,0.6304000000000001,0.6305000000000001,0.6306,0.6307,0.6308,0.6309,0.631,0.6311,0.6312,0.6313,0.6314,0.6315,0.6315999999999999,0.6317,0.6318,0.6319,0.632,0.6321,0.6322,0.6323,0.6324000000000001,0.6325000000000001,0.6326,0.6327,0.6328,0.6329,0.633,0.6331,0.6332,0.6333,0.6334,0.6335,0.6335999999999999,0.6337,0.6338,0.6339,0.634,0.6341,0.6342,0.6343,0.6344000000000001,0.6345000000000001,0.6346,0.6347,0.6348,0.6349,0.635,0.6351,0.6352,0.6353,0.6354,0.6355,0.6355999999999999,0.6357,0.6358,0.6359,0.636,0.6361,0.6362,0.6363,0.6364,0.6365000000000001,0.6366,0.6367,0.6368,0.6369,0.637,0.6371,0.6372,0.6373,0.6374,0.6375,0.6376,0.6377,0.6378,0.6379,0.638,0.6381,0.6382,0.6383,0.6384,0.6385000000000001,0.6386000000000001,0.6387,0.6388,0.6389,0.639,0.6391,0.6392,0.6393,0.6394,0.6395,0.6396,0.6397,0.6398,0.6399,0.64,0.6401,0.6402,0.6403,0.6404,0.6405000000000001,0.6406000000000001,0.6407,0.6408,0.6409,0.641,0.6411,0.6412,0.6413,0.6414,0.6415,0.6416,0.6417,0.6418,0.6419,0.642,0.6421,0.6422,0.6423,0.6424,0.6425000000000001,0.6426000000000001,0.6427,0.6428,0.6429,0.643,0.6431,0.6432,0.6433,0.6434,0.6435,0.6436,0.6436999999999999,0.6438,0.6439,0.644,0.6441,0.6442,0.6443,0.6444,0.6445000000000001,0.6446000000000001,0.6447,0.6448,0.6449,0.645,0.6451,0.6452,0.6453,0.6454,0.6455,0.6456,0.6456999999999999,0.6458,0.6459,0.646,0.6461,0.6462,0.6463,0.6464,0.6465000000000001,0.6466000000000001,0.6467,0.6468,0.6469,0.647,0.6471,0.6472,0.6473,0.6474,0.6475,0.6476,0.6476999999999999,0.6478,0.6479,0.648,0.6481,0.6482,0.6483,0.6484,0.6485000000000001,0.6486000000000001,0.6487,0.6488,0.6489,0.649,0.6491,0.6492,0.6493,0.6494,0.6495,0.6496,0.6496999999999999,0.6498,0.6499,0.65,0.6501,0.6502,0.6503,0.6504,0.6505,0.6506000000000001,0.6507000000000001,0.6508,0.6509,0.651,0.6511,0.6512,0.6513,0.6514,0.6515,0.6516,0.6517,0.6518,0.6519,0.652,0.6521,0.6522,0.6523,0.6524,0.6525,0.6526000000000001,0.6527000000000001,0.6528,0.6529,0.653,0.6531,0.6532,0.6533,0.6534,0.6535,0.6536,0.6537,0.6538,0.6539,0.654,0.6541,0.6542,0.6543,0.6544,0.6545,0.6546000000000001,0.6547000000000001,0.6548,0.6549,0.655,0.6551,0.6552,0.6553,0.6554,0.6555,0.6556,0.6557,0.6557999999999999,0.6559,0.656,0.6561,0.6562,0.6563,0.6564,0.6565,0.6566000000000001,0.6567000000000001,0.6568,0.6569,0.657,0.6571,0.6572,0.6573,0.6574,0.6575,0.6576,0.6577,0.6577999999999999,0.6579,0.658,0.6581,0.6582,0.6583,0.6584,0.6585,0.6586000000000001,0.6587000000000001,0.6588,0.6589,0.659,0.6591,0.6592,0.6593,0.6594,0.6595,0.6596,0.6597,0.6597999999999999,0.6599,0.66,0.6601,0.6602,0.6603,0.6604,0.6605,0.6606000000000001,0.6607000000000001,0.6608,0.6609,0.661,0.6611,0.6612,0.6613,0.6614,0.6615,0.6616,0.6617,0.6617999999999999,0.6619,0.662,0.6621,0.6622,0.6623,0.6624,0.6625,0.6626,0.6627000000000001,0.6628000000000001,0.6629,0.663,0.6631,0.6632,0.6633,0.6634,0.6635,0.6636,0.6637,0.6638,0.6639,0.664,0.6641,0.6642,0.6643,0.6644,0.6645,0.6646,0.6647000000000001,0.6648000000000001,0.6649,0.665,0.6651,0.6652,0.6653,0.6654,0.6655,0.6656,0.6657,0.6658,0.6659,0.666,0.6661,0.6662,0.6663,0.6664,0.6665,0.6666,0.6667000000000001,0.6668000000000001,0.6669,0.667,0.6671,0.6672,0.6673,0.6674,0.6675,0.6676,0.6677,0.6678,0.6679,0.668,0.6681,0.6682,0.6683,0.6684,0.6685,0.6686,0.6687000000000001,0.6688000000000001,0.6689,0.669,0.6691,0.6692,0.6693,0.6694,0.6695,0.6696,0.6697,0.6698,0.6698999999999999,0.67,0.6701,0.6702,0.6703,0.6704,0.6705,0.6706,0.6707000000000001,0.6708000000000001,0.6709,0.671,0.6711,0.6712,0.6713,0.6714,0.6715,0.6716,0.6717,0.6718,0.6718999999999999,0.672,0.6721,0.6722,0.6723,0.6724,0.6725,0.6726,0.6727000000000001,0.6728000000000001,0.6729,0.673,0.6731,0.6732,0.6733,0.6734,0.6735,0.6736,0.6737,0.6738,0.6738999999999999,0.674,0.6741,0.6742,0.6743,0.6744,0.6745,0.6746,0.6747000000000001,0.6748000000000001,0.6749,0.675,0.6751,0.6752,0.6753,0.6754,0.6755,0.6756,0.6757,0.6758,0.6759,0.676,0.6761,0.6762,0.6763,0.6764,0.6765,0.6766,0.6767,0.6768000000000001,0.6769000000000001,0.677,0.6771,0.6772,0.6773,0.6774,0.6775,0.6776,0.6777,0.6778,0.6779,0.678,0.6781,0.6782,0.6783,0.6784,0.6785,0.6786,0.6787,0.6788000000000001,0.6789000000000001,0.679,0.6791,0.6792,0.6793,0.6794,0.6795,0.6796,0.6797,0.6798,0.6799,0.68,0.6801,0.6802,0.6803,0.6804,0.6805,0.6806,0.6807,0.6808000000000001,0.6809000000000001,0.681,0.6811,0.6812,0.6813,0.6814,0.6815,0.6816,0.6817,0.6818,0.6819,0.6819999999999999,0.6821,0.6822,0.6823,0.6824,0.6825,0.6826,0.6827,0.6828000000000001,0.6829000000000001,0.683,0.6831,0.6832,0.6833,0.6834,0.6835,0.6836,0.6837,0.6838,0.6839,0.6839999999999999,0.6841,0.6842,0.6843,0.6844,0.6845,0.6846,0.6847,0.6848000000000001,0.6849000000000001,0.685,0.6851,0.6852,0.6853,0.6854,0.6855,0.6856,0.6857,0.6858,0.6859,0.6859999999999999,0.6861,0.6862,0.6863,0.6864,0.6865,0.6866,0.6867,0.6868000000000001,0.6869000000000001,0.687,0.6871,0.6872,0.6873,0.6874,0.6875,0.6876,0.6877,0.6878,0.6879,0.688,0.6881,0.6882,0.6883,0.6884,0.6885,0.6886,0.6887,0.6888,0.6889000000000001,0.6890000000000001,0.6891,0.6892,0.6893,0.6894,0.6895,0.6896,0.6897,0.6898,0.6899,0.69,0.6901,0.6902,0.6903,0.6904,0.6905,0.6906,0.6907,0.6908,0.6909000000000001,0.6910000000000001,0.6911,0.6912,0.6913,0.6914,0.6915,0.6916,0.6917,0.6918,0.6919,0.692,0.6921,0.6922,0.6923,0.6924,0.6925,0.6926,0.6927,0.6928,0.6929000000000001,0.6930000000000001,0.6931,0.6932,0.6933,0.6934,0.6935,0.6936,0.6937,0.6938,0.6939,0.694,0.6941,0.6942,0.6943,0.6944,0.6945,0.6946,0.6947,0.6948,0.6949000000000001,0.6950000000000001,0.6951,0.6952,0.6953,0.6954,0.6955,0.6956,0.6957,0.6958,0.6959,0.696,0.6960999999999999,0.6962,0.6963,0.6964,0.6965,0.6966,0.6967,0.6968,0.6969000000000001,0.6970000000000001,0.6971,0.6972,0.6973,0.6974,0.6975,0.6976,0.6977,0.6978,0.6979,0.698,0.6980999999999999,0.6982,0.6983,0.6984,0.6985,0.6986,0.6987,0.6988,0.6989000000000001,0.6990000000000001,0.6991,0.6992,0.6993,0.6994,0.6995,0.6996,0.6997,0.6998,0.6999,0.7,0.7001,0.7002,0.7003,0.7004,0.7005,0.7006,0.7007,0.7008,0.7009000000000001,0.7010000000000001,0.7011000000000001,0.7012,0.7013,0.7014,0.7015,0.7016,0.7017,0.7018,0.7019,0.702,0.7021,0.7022,0.7023,0.7024,0.7025,0.7026,0.7027,0.7028,0.7029,0.7030000000000001,0.7031000000000001,0.7032,0.7033,0.7034,0.7035,0.7036,0.7037,0.7038,0.7039,0.704,0.7041,0.7042,0.7043,0.7044,0.7045,0.7046,0.7047,0.7048,0.7049,0.7050000000000001,0.7051000000000001,0.7052,0.7053,0.7054,0.7055,0.7056,0.7057,0.7058,0.7059,0.706,0.7061,0.7062,0.7063,0.7064,0.7065,0.7066,0.7067,0.7068,0.7069,0.7070000000000001,0.7071000000000001,0.7072,0.7073,0.7074,0.7075,0.7076,0.7077,0.7078,0.7079,0.708,0.7081,0.7081999999999999,0.7083,0.7084,0.7085,0.7086,0.7087,0.7088,0.7089,0.7090000000000001,0.7091000000000001,0.7092,0.7093,0.7094,0.7095,0.7096,0.7097,0.7098,0.7099,0.71,0.7101,0.7101999999999999,0.7103,0.7104,0.7105,0.7106,0.7107,0.7108,0.7109,0.7110000000000001,0.7111000000000001,0.7112,0.7113,0.7114,0.7115,0.7116,0.7117,0.7118,0.7119,0.712,0.7121,0.7121999999999999,0.7123,0.7124,0.7125,0.7126,0.7127,0.7128,0.7129,0.7130000000000001,0.7131000000000001,0.7132000000000001,0.7133,0.7134,0.7135,0.7136,0.7137,0.7138,0.7139,0.714,0.7141,0.7142,0.7143,0.7144,0.7145,0.7146,0.7147,0.7148,0.7149,0.715,0.7151000000000001,0.7152000000000001,0.7153,0.7154,0.7155,0.7156,0.7157,0.7158,0.7159,0.716,0.7161,0.7162,0.7163,0.7164,0.7165,0.7166,0.7167,0.7168,0.7169,0.717,0.7171000000000001,0.7172000000000001,0.7173,0.7174,0.7175,0.7176,0.7177,0.7178,0.7179,0.718,0.7181,0.7182,0.7183,0.7184,0.7185,0.7186,0.7187,0.7188,0.7189,0.719,0.7191000000000001,0.7192000000000001,0.7193,0.7194,0.7195,0.7196,0.7197,0.7198,0.7199,0.72,0.7201,0.7202,0.7203,0.7204,0.7205,0.7206,0.7207,0.7208,0.7209,0.721,0.7211000000000001,0.7212000000000001,0.7213,0.7214,0.7215,0.7216,0.7217,0.7218,0.7219,0.722,0.7221,0.7222,0.7222999999999999,0.7224,0.7225,0.7226,0.7227,0.7228,0.7229,0.723,0.7231000000000001,0.7232000000000001,0.7233,0.7234,0.7235,0.7236,0.7237,0.7238,0.7239,0.724,0.7241,0.7242,0.7242999999999999,0.7244,0.7245,0.7246,0.7247,0.7248,0.7249,0.725,0.7251000000000001,0.7252000000000001,0.7253000000000001,0.7254,0.7255,0.7256,0.7257,0.7258,0.7259,0.726,0.7261,0.7262,0.7263,0.7264,0.7265,0.7266,0.7267,0.7268,0.7269,0.727,0.7271000000000001,0.7272000000000001,0.7273000000000001,0.7274,0.7275,0.7276,0.7277,0.7278,0.7279,0.728,0.7281,0.7282,0.7283,0.7284,0.7285,0.7286,0.7287,0.7288,0.7289,0.729,0.7291,0.7292000000000001,0.7293000000000001,0.7294,0.7295,0.7296,0.7297,0.7298,0.7299,0.73,0.7301,0.7302,0.7303,0.7304,0.7305,0.7306,0.7307,0.7308,0.7309,0.731,0.7311,0.7312000000000001,0.7313000000000001,0.7314,0.7315,0.7316,0.7317,0.7318,0.7319,0.732,0.7321,0.7322,0.7323,0.7324,0.7325,0.7326,0.7327,0.7328,0.7329,0.733,0.7331,0.7332000000000001,0.7333000000000001,0.7334,0.7335,0.7336,0.7337,0.7338,0.7339,0.734,0.7341,0.7342,0.7343,0.7344,0.7345,0.7346,0.7347,0.7348,0.7349,0.735,0.7351,0.7352000000000001,0.7353000000000001,0.7354,0.7355,0.7356,0.7357,0.7358,0.7359,0.736,0.7361,0.7362,0.7363,0.7363999999999999,0.7365,0.7366,0.7367,0.7368,0.7369,0.737,0.7371,0.7372000000000001,0.7373000000000001,0.7374,0.7375,0.7376,0.7377,0.7378,0.7379,0.738,0.7381,0.7382,0.7383,0.7384,0.7385,0.7386,0.7387,0.7388,0.7389,0.739,0.7391,0.7392000000000001,0.7393000000000001,0.7394000000000001,0.7395,0.7396,0.7397,0.7398,0.7399,0.74,0.7401,0.7402,0.7403,0.7404,0.7405,0.7406,0.7407,0.7408,0.7409,0.741,0.7411,0.7412,0.7413000000000001,0.7414000000000001,0.7415,0.7416,0.7417,0.7418,0.7419,0.742,0.7421,0.7422,0.7423,0.7424,0.7425,0.7426,0.7427,0.7428,0.7429,0.743,0.7431,0.7432,0.7433000000000001,0.7434000000000001,0.7435,0.7436,0.7437,0.7438,0.7439,0.744,0.7441,0.7442,0.7443,0.7444,0.7445,0.7446,0.7447,0.7448,0.7449,0.745,0.7451,0.7452,0.7453000000000001,0.7454000000000001,0.7455,0.7456,0.7457,0.7458,0.7459,0.746,0.7461,0.7462,0.7463,0.7464,0.7465,0.7466,0.7467,0.7468,0.7469,0.747,0.7471,0.7472,0.7473000000000001,0.7474000000000001,0.7475,0.7476,0.7477,0.7478,0.7479,0.748,0.7481,0.7482,0.7483,0.7484,0.7484999999999999,0.7486,0.7487,0.7488,0.7489,0.749,0.7491,0.7492,0.7493000000000001,0.7494000000000001,0.7495,0.7496,0.7497,0.7498,0.7499,0.75,0.7501,0.7502,0.7503,0.7504,0.7505,0.7505999999999999,0.7507,0.7508,0.7509,0.751,0.7511,0.7512000000000001,0.7513000000000001,0.7514000000000001,0.7515000000000001,0.7516,0.7517,0.7518,0.7519,0.752,0.7521,0.7522,0.7523,0.7524,0.7525,0.7525999999999999,0.7527,0.7528,0.7529,0.753,0.7531,0.7532000000000001,0.7533000000000001,0.7534000000000001,0.7535000000000001,0.7536,0.7537,0.7538,0.7539,0.754,0.7541,0.7542,0.7543,0.7544,0.7545,0.7545999999999999,0.7547,0.7548,0.7549,0.755,0.7551,0.7552000000000001,0.7553000000000001,0.7554000000000001,0.7555000000000001,0.7556,0.7557,0.7558,0.7559,0.756,0.7561,0.7562,0.7563,0.7564,0.7565,0.7565999999999999,0.7567,0.7568,0.7569,0.757,0.7571,0.7572000000000001,0.7573000000000001,0.7574000000000001,0.7575000000000001,0.7576,0.7577,0.7578,0.7579,0.758,0.7581,0.7582,0.7583,0.7584,0.7585,0.7585999999999999,0.7586999999999999,0.7588,0.7589,0.759,0.7591,0.7592,0.7593000000000001,0.7594000000000001,0.7595000000000001,0.7596,0.7597,0.7598,0.7599,0.76,0.7601,0.7602,0.7603,0.7604,0.7605,0.7605999999999999,0.7606999999999999,0.7608,0.7609,0.761,0.7611,0.7612,0.7613000000000001,0.7614000000000001,0.7615000000000001,0.7616,0.7617,0.7618,0.7619,0.762,0.7621,0.7622,0.7623,0.7624,0.7625,0.7626,0.7626999999999999,0.7628,0.7629,0.763,0.7631,0.7632,0.7633000000000001,0.7634000000000001,0.7635000000000001,0.7636000000000001,0.7637,0.7638,0.7639,0.764,0.7641,0.7642,0.7643,0.7644,0.7645,0.7646,0.7646999999999999,0.7648,0.7649,0.765,0.7651,0.7652,0.7653000000000001,0.7654000000000001,0.7655000000000001,0.7656000000000001,0.7657,0.7658,0.7659,0.766,0.7661,0.7662,0.7663,0.7664,0.7665,0.7666,0.7666999999999999,0.7668,0.7669,0.767,0.7671,0.7672,0.7673000000000001,0.7674000000000001,0.7675000000000001,0.7676000000000001,0.7677,0.7678,0.7679,0.768,0.7681,0.7682,0.7683,0.7684,0.7685,0.7686,0.7686999999999999,0.7688,0.7689,0.769,0.7691,0.7692,0.7693000000000001,0.7694000000000001,0.7695000000000001,0.7696000000000001,0.7697,0.7698,0.7699,0.77,0.7701,0.7702,0.7703,0.7704,0.7705,0.7706,0.7706999999999999,0.7708,0.7709,0.771,0.7711,0.7712,0.7713,0.7714000000000001,0.7715000000000001,0.7716000000000001,0.7717,0.7718,0.7719,0.772,0.7721,0.7722,0.7723,0.7724,0.7725,0.7726,0.7726999999999999,0.7727999999999999,0.7729,0.773,0.7731,0.7732,0.7733,0.7734000000000001,0.7735000000000001,0.7736000000000001,0.7737,0.7738,0.7739,0.774,0.7741,0.7742,0.7743,0.7744,0.7745,0.7746,0.7746999999999999,0.7747999999999999,0.7749,0.775,0.7751,0.7752,0.7753,0.7754000000000001,0.7755000000000001,0.7756000000000001,0.7757000000000001,0.7758,0.7759,0.776,0.7761,0.7762,0.7763,0.7764,0.7765,0.7766,0.7767,0.7767999999999999,0.7769,0.777,0.7771,0.7772,0.7773,0.7774000000000001,0.7775000000000001,0.7776000000000001,0.7777000000000001,0.7778,0.7779,0.778,0.7781,0.7782,0.7783,0.7784,0.7785,0.7786,0.7787,0.7787999999999999,0.7789,0.779,0.7791,0.7792,0.7793,0.7794000000000001,0.7795000000000001,0.7796000000000001,0.7797000000000001,0.7798,0.7799,0.78,0.7801,0.7802,0.7803,0.7804,0.7805,0.7806,0.7807,0.7807999999999999,0.7809,0.781,0.7811,0.7812,0.7813,0.7814000000000001,0.7815000000000001,0.7816000000000001,0.7817000000000001,0.7818,0.7819,0.782,0.7821,0.7822,0.7823,0.7824,0.7825,0.7826,0.7827,0.7827999999999999,0.7829,0.783,0.7831,0.7832,0.7833,0.7834000000000001,0.7835000000000001,0.7836000000000001,0.7837000000000001,0.7838,0.7839,0.784,0.7841,0.7842,0.7843,0.7844,0.7845,0.7846,0.7847,0.7847999999999999,0.7848999999999999,0.785,0.7851,0.7852,0.7853,0.7854,0.7855000000000001,0.7856000000000001,0.7857000000000001,0.7858,0.7859,0.786,0.7861,0.7862,0.7863,0.7864,0.7865,0.7866,0.7867,0.7867999999999999,0.7868999999999999,0.787,0.7871,0.7872,0.7873,0.7874,0.7875000000000001,0.7876000000000001,0.7877000000000001,0.7878000000000001,0.7879,0.788,0.7881,0.7882,0.7883,0.7884,0.7885,0.7886,0.7887,0.7888,0.7888999999999999,0.789,0.7891,0.7892,0.7893,0.7894,0.7895000000000001,0.7896000000000001,0.7897000000000001,0.7898000000000001,0.7899,0.79,0.7901,0.7902,0.7903,0.7904,0.7905,0.7906,0.7907,0.7908,0.7908999999999999,0.791,0.7911,0.7912,0.7913,0.7914,0.7915000000000001,0.7916000000000001,0.7917000000000001,0.7918000000000001,0.7919,0.792,0.7921,0.7922,0.7923,0.7924,0.7925,0.7926,0.7927,0.7928,0.7928999999999999,0.793,0.7931,0.7932,0.7933,0.7934,0.7935000000000001,0.7936000000000001,0.7937000000000001,0.7938000000000001,0.7939,0.794,0.7941,0.7942,0.7943,0.7944,0.7945,0.7946,0.7947,0.7948,0.7948999999999999,0.795,0.7951,0.7952,0.7953,0.7954,0.7955000000000001,0.7956000000000001,0.7957000000000001,0.7958000000000001,0.7959,0.796,0.7961,0.7962,0.7963,0.7964,0.7965,0.7966,0.7967,0.7968,0.7968999999999999,0.797,0.7971,0.7972,0.7973,0.7974,0.7975,0.7976000000000001,0.7977000000000001,0.7978000000000001,0.7979,0.798,0.7981,0.7982,0.7983,0.7984,0.7985,0.7986,0.7987,0.7988,0.7988999999999999,0.7989999999999999,0.7991,0.7992,0.7993,0.7994,0.7995,0.7996000000000001,0.7997000000000001,0.7998000000000001,0.7999,0.8,0.8001,0.8002,0.8003,0.8004,0.8005,0.8006,0.8007,0.8008,0.8009,0.8009999999999999,0.8011,0.8012,0.8013,0.8014,0.8015,0.8016000000000001,0.8017000000000001,0.8018000000000001,0.8019000000000001,0.802,0.8021,0.8022,0.8023,0.8024,0.8025,0.8026,0.8027,0.8028,0.8029,0.8029999999999999,0.8031,0.8032,0.8033,0.8034,0.8035,0.8036000000000001,0.8037000000000001,0.8038000000000001,0.8039000000000001,0.804,0.8041,0.8042,0.8043,0.8044,0.8045,0.8046,0.8047,0.8048,0.8049,0.8049999999999999,0.8051,0.8052,0.8053,0.8054,0.8055,0.8056000000000001,0.8057000000000001,0.8058000000000001,0.8059000000000001,0.806,0.8061,0.8062,0.8063,0.8064,0.8065,0.8066,0.8067,0.8068,0.8069,0.8069999999999999,0.8071,0.8072,0.8073,0.8074,0.8075,0.8076000000000001,0.8077000000000001,0.8078000000000001,0.8079000000000001,0.808,0.8081,0.8082,0.8083,0.8084,0.8085,0.8086,0.8087,0.8088,0.8089,0.8089999999999999,0.8091,0.8092,0.8093,0.8094,0.8095,0.8096000000000001,0.8097000000000001,0.8098000000000001,0.8099000000000001,0.81,0.8101,0.8102,0.8103,0.8104,0.8105,0.8106,0.8107,0.8108,0.8109,0.8109999999999999,0.8110999999999999,0.8112,0.8113,0.8114,0.8115,0.8116,0.8117000000000001,0.8118000000000001,0.8119000000000001,0.812,0.8121,0.8122,0.8123,0.8124,0.8125,0.8126,0.8127,0.8128,0.8129,0.813,0.8130999999999999,0.8132,0.8133,0.8134,0.8135,0.8136,0.8137000000000001,0.8138000000000001,0.8139000000000001,0.8140000000000001,0.8141,0.8142,0.8143,0.8144,0.8145,0.8146,0.8147,0.8148,0.8149,0.815,0.8150999999999999,0.8152,0.8153,0.8154,0.8155,0.8156,0.8157000000000001,0.8158000000000001,0.8159000000000001,0.8160000000000001,0.8161,0.8162,0.8163,0.8164,0.8165,0.8166,0.8167,0.8168,0.8169,0.817,0.8170999999999999,0.8172,0.8173,0.8174,0.8175,0.8176,0.8177000000000001,0.8178000000000001,0.8179000000000001,0.8180000000000001,0.8181,0.8182,0.8183,0.8184,0.8185,0.8186,0.8187,0.8188,0.8189,0.819,0.8190999999999999,0.8192,0.8193,0.8194,0.8195,0.8196,0.8197000000000001,0.8198000000000001,0.8199000000000001,0.8200000000000001,0.8201,0.8202,0.8203,0.8204,0.8205,0.8206,0.8207,0.8208,0.8209,0.821,0.8210999999999999,0.8212,0.8213,0.8214,0.8215,0.8216,0.8217000000000001,0.8218000000000001,0.8219000000000001,0.8220000000000001,0.8221,0.8222,0.8223,0.8224,0.8225,0.8226,0.8227,0.8228,0.8229,0.823,0.8230999999999999,0.8232,0.8233,0.8234,0.8235,0.8236,0.8237000000000001,0.8238000000000001,0.8239000000000001,0.8240000000000001,0.8241,0.8242,0.8243,0.8244,0.8245,0.8246,0.8247,0.8248,0.8249,0.825,0.8251,0.8251999999999999,0.8253,0.8254,0.8255,0.8256,0.8257,0.8258000000000001,0.8259000000000001,0.8260000000000001,0.8261000000000001,0.8262,0.8263,0.8264,0.8265,0.8266,0.8267,0.8268,0.8269,0.827,0.8271,0.8271999999999999,0.8273,0.8274,0.8275,0.8276,0.8277,0.8278000000000001,0.8279000000000001,0.8280000000000001,0.8281000000000001,0.8282,0.8283,0.8284,0.8285,0.8286,0.8287,0.8288,0.8289,0.829,0.8291,0.8291999999999999,0.8293,0.8294,0.8295,0.8296,0.8297,0.8298000000000001,0.8299000000000001,0.8300000000000001,0.8301000000000001,0.8302,0.8303,0.8304,0.8305,0.8306,0.8307,0.8308,0.8309,0.831,0.8311,0.8311999999999999,0.8313,0.8314,0.8315,0.8316,0.8317,0.8318000000000001,0.8319000000000001,0.8320000000000001,0.8321000000000001,0.8322,0.8323,0.8324,0.8325,0.8326,0.8327,0.8328,0.8329,0.833,0.8331,0.8331999999999999,0.8333,0.8334,0.8335,0.8336,0.8337,0.8338000000000001,0.8339000000000001,0.8340000000000001,0.8341000000000001,0.8342,0.8343,0.8344,0.8345,0.8346,0.8347,0.8348,0.8349,0.835,0.8351,0.8351999999999999,0.8353,0.8354,0.8355,0.8356,0.8357,0.8358000000000001,0.8359000000000001,0.8360000000000001,0.8361000000000001,0.8362,0.8363,0.8364,0.8365,0.8366,0.8367,0.8368,0.8369,0.837,0.8371,0.8371999999999999,0.8372999999999999,0.8374,0.8375,0.8376,0.8377,0.8378,0.8379000000000001,0.8380000000000001,0.8381000000000001,0.8382000000000001,0.8383,0.8384,0.8385,0.8386,0.8387,0.8388,0.8389,0.839,0.8391,0.8392,0.8392999999999999,0.8394,0.8395,0.8396,0.8397,0.8398,0.8399000000000001,0.8400000000000001,0.8401000000000001,0.8402000000000001,0.8403,0.8404,0.8405,0.8406,0.8407,0.8408,0.8409,0.841,0.8411,0.8412,0.8412999999999999,0.8414,0.8415,0.8416,0.8417,0.8418,0.8419000000000001,0.8420000000000001,0.8421000000000001,0.8422000000000001,0.8423,0.8424,0.8425,0.8426,0.8427,0.8428,0.8429,0.843,0.8431,0.8432,0.8432999999999999,0.8434,0.8435,0.8436,0.8437,0.8438,0.8439000000000001,0.8440000000000001,0.8441000000000001,0.8442000000000001,0.8443,0.8444,0.8445,0.8446,0.8447,0.8448,0.8449,0.845,0.8451,0.8452,0.8452999999999999,0.8454,0.8455,0.8456,0.8457,0.8458,0.8459000000000001,0.8460000000000001,0.8461000000000001,0.8462000000000001,0.8463,0.8464,0.8465,0.8466,0.8467,0.8468,0.8469,0.847,0.8471,0.8472,0.8472999999999999,0.8474,0.8475,0.8476,0.8477,0.8478,0.8479000000000001,0.8480000000000001,0.8481000000000001,0.8482000000000001,0.8483,0.8484,0.8485,0.8486,0.8487,0.8488,0.8489,0.849,0.8491,0.8492,0.8492999999999999,0.8494,0.8495,0.8496,0.8497,0.8498,0.8499000000000001,0.8500000000000001,0.8501000000000001,0.8502000000000001,0.8503000000000001,0.8504,0.8505,0.8506,0.8507,0.8508,0.8509,0.851,0.8511,0.8512,0.8513,0.8513999999999999,0.8515,0.8516,0.8517,0.8518,0.8519,0.8520000000000001,0.8521000000000001,0.8522000000000001,0.8523000000000001,0.8524,0.8525,0.8526,0.8527,0.8528,0.8529,0.853,0.8531,0.8532,0.8533,0.8533999999999999,0.8535,0.8536,0.8537,0.8538,0.8539,0.8540000000000001,0.8541000000000001,0.8542000000000001,0.8543000000000001,0.8544,0.8545,0.8546,0.8547,0.8548,0.8549,0.855,0.8551,0.8552,0.8553,0.8553999999999999,0.8555,0.8556,0.8557,0.8558,0.8559,0.8560000000000001,0.8561000000000001,0.8562000000000001,0.8563000000000001,0.8564,0.8565,0.8566,0.8567,0.8568,0.8569,0.857,0.8571,0.8572,0.8573,0.8573999999999999,0.8575,0.8576,0.8577,0.8578,0.8579,0.8580000000000001,0.8581000000000001,0.8582000000000001,0.8583000000000001,0.8584,0.8585,0.8586,0.8587,0.8588,0.8589,0.859,0.8591,0.8592,0.8593,0.8593999999999999,0.8595,0.8596,0.8597,0.8598,0.8599,0.8600000000000001,0.8601000000000001,0.8602000000000001,0.8603000000000001,0.8604,0.8605,0.8606,0.8607,0.8608,0.8609,0.861,0.8611,0.8612,0.8613,0.8613999999999999,0.8615,0.8616,0.8617,0.8618,0.8619,0.8620000000000001,0.8621000000000001,0.8622000000000001,0.8623000000000001,0.8624,0.8625,0.8626,0.8627,0.8628,0.8629,0.863,0.8631,0.8632,0.8633,0.8634,0.8634999999999999,0.8636,0.8637,0.8638,0.8639,0.864,0.8641000000000001,0.8642000000000001,0.8643000000000001,0.8644000000000001,0.8645,0.8646,0.8647,0.8648,0.8649,0.865,0.8651,0.8652,0.8653,0.8654,0.8654999999999999,0.8656,0.8657,0.8658,0.8659,0.866,0.8661000000000001,0.8662000000000001,0.8663000000000001,0.8664000000000001,0.8665,0.8666,0.8667,0.8668,0.8669,0.867,0.8671,0.8672,0.8673,0.8674,0.8674999999999999,0.8676,0.8677,0.8678,0.8679,0.868,0.8681000000000001,0.8682000000000001,0.8683000000000001,0.8684000000000001,0.8685,0.8686,0.8687,0.8688,0.8689,0.869,0.8691,0.8692,0.8693,0.8694,0.8694999999999999,0.8696,0.8697,0.8698,0.8699,0.87,0.8701000000000001,0.8702000000000001,0.8703000000000001,0.8704000000000001,0.8705,0.8706,0.8707,0.8708,0.8709,0.871,0.8711,0.8712,0.8713,0.8714,0.8714999999999999,0.8716,0.8717,0.8718,0.8719,0.872,0.8721000000000001,0.8722000000000001,0.8723000000000001,0.8724000000000001,0.8725,0.8726,0.8727,0.8728,0.8729,0.873,0.8731,0.8732,0.8733,0.8734,0.8734999999999999,0.8736,0.8737,0.8738,0.8739,0.874,0.8741000000000001,0.8742000000000001,0.8743000000000001,0.8744000000000001,0.8745,0.8746,0.8747,0.8748,0.8749,0.875,0.8751,0.8752,0.8753,0.8754,0.8755,0.8756,0.8757,0.8758,0.8759,0.876,0.8761000000000001,0.8762000000000001,0.8763000000000001,0.8764000000000001,0.8765000000000001,0.8766,0.8767,0.8768,0.8769,0.877,0.8771,0.8772,0.8773,0.8774,0.8775,0.8775999999999999,0.8777,0.8778,0.8779,0.878,0.8781,0.8782000000000001,0.8783000000000001,0.8784000000000001,0.8785000000000001,0.8786,0.8787,0.8788,0.8789,0.879,0.8791,0.8792,0.8793,0.8794,0.8795,0.8795999999999999,0.8797,0.8798,0.8799,0.88,0.8801,0.8802000000000001,0.8803000000000001,0.8804000000000001,0.8805000000000001,0.8806,0.8807,0.8808,0.8809,0.881,0.8811,0.8812,0.8813,0.8814,0.8815,0.8815999999999999,0.8817,0.8818,0.8819,0.882,0.8821,0.8822000000000001,0.8823000000000001,0.8824000000000001,0.8825000000000001,0.8826,0.8827,0.8828,0.8829,0.883,0.8831,0.8832,0.8833,0.8834,0.8835,0.8835999999999999,0.8837,0.8838,0.8839,0.884,0.8841,0.8842000000000001,0.8843000000000001,0.8844000000000001,0.8845000000000001,0.8846,0.8847,0.8848,0.8849,0.885,0.8851,0.8852,0.8853,0.8854,0.8855,0.8855999999999999,0.8857,0.8858,0.8859,0.886,0.8861,0.8862000000000001,0.8863000000000001,0.8864000000000001,0.8865000000000001,0.8866,0.8867,0.8868,0.8869,0.887,0.8871,0.8872,0.8873,0.8874,0.8875,0.8876,0.8877,0.8878,0.8879,0.888,0.8881,0.8882000000000001,0.8883000000000001,0.8884000000000001,0.8885000000000001,0.8886000000000001,0.8887,0.8888,0.8889,0.889,0.8891,0.8892,0.8893,0.8894,0.8895,0.8896,0.8897,0.8898,0.8899,0.89,0.8901,0.8902,0.8903000000000001,0.8904000000000001,0.8905000000000001,0.8906000000000001,0.8907,0.8908,0.8909,0.891,0.8911,0.8912,0.8913,0.8914,0.8915,0.8916,0.8916999999999999,0.8918,0.8919,0.892,0.8921,0.8922,0.8923000000000001,0.8924000000000001,0.8925000000000001,0.8926000000000001,0.8927,0.8928,0.8929,0.893,0.8931,0.8932,0.8933,0.8934,0.8935,0.8936,0.8936999999999999,0.8938,0.8939,0.894,0.8941,0.8942,0.8943000000000001,0.8944000000000001,0.8945000000000001,0.8946000000000001,0.8947,0.8948,0.8949,0.895,0.8951,0.8952,0.8953,0.8954,0.8955,0.8956,0.8956999999999999,0.8958,0.8959,0.896,0.8961,0.8962,0.8963000000000001,0.8964000000000001,0.8965000000000001,0.8966000000000001,0.8967,0.8968,0.8969,0.897,0.8971,0.8972,0.8973,0.8974,0.8975,0.8976,0.8976999999999999,0.8978,0.8979,0.898,0.8981,0.8982,0.8983000000000001,0.8984000000000001,0.8985000000000001,0.8986000000000001,0.8987,0.8988,0.8989,0.899,0.8991,0.8992,0.8993,0.8994,0.8995,0.8996,0.8996999999999999,0.8998,0.8999,0.9,0.9001,0.9002,0.9003000000000001,0.9004000000000001,0.9005000000000001,0.9006000000000001,0.9007000000000001,0.9008,0.9009,0.901,0.9011,0.9012,0.9013,0.9014,0.9015,0.9016,0.9017,0.9018,0.9019,0.902,0.9021,0.9022,0.9023000000000001,0.9024000000000001,0.9025000000000001,0.9026000000000001,0.9027000000000001,0.9028,0.9029,0.903,0.9031,0.9032,0.9033,0.9034,0.9035,0.9036,0.9037,0.9037999999999999,0.9039,0.904,0.9041,0.9042,0.9043,0.9044000000000001,0.9045000000000001,0.9046000000000001,0.9047000000000001,0.9048,0.9049,0.905,0.9051,0.9052,0.9053,0.9054,0.9055,0.9056,0.9057,0.9057999999999999,0.9059,0.906,0.9061,0.9062,0.9063,0.9064000000000001,0.9065000000000001,0.9066000000000001,0.9067000000000001,0.9068,0.9069,0.907,0.9071,0.9072,0.9073,0.9074,0.9075,0.9076,0.9077,0.9077999999999999,0.9079,0.908,0.9081,0.9082,0.9083,0.9084000000000001,0.9085000000000001,0.9086000000000001,0.9087000000000001,0.9088,0.9089,0.909,0.9091,0.9092,0.9093,0.9094,0.9095,0.9096,0.9097,0.9097999999999999,0.9099,0.91,0.9101,0.9102,0.9103,0.9104000000000001,0.9105000000000001,0.9106000000000001,0.9107000000000001,0.9108,0.9109,0.911,0.9111,0.9112,0.9113,0.9114,0.9115,0.9116,0.9117,0.9117999999999999,0.9119,0.912,0.9121,0.9122,0.9123,0.9124000000000001,0.9125000000000001,0.9126000000000001,0.9127000000000001,0.9128000000000001,0.9129,0.913,0.9131,0.9132,0.9133,0.9134,0.9135,0.9136,0.9137,0.9138,0.9139,0.914,0.9141,0.9142,0.9143,0.9144000000000001,0.9145000000000001,0.9146000000000001,0.9147000000000001,0.9148000000000001,0.9149,0.915,0.9151,0.9152,0.9153,0.9154,0.9155,0.9156,0.9157,0.9158,0.9159,0.916,0.9161,0.9162,0.9163,0.9164,0.9165000000000001,0.9166000000000001,0.9167000000000001,0.9168000000000001,0.9169,0.917,0.9171,0.9172,0.9173,0.9174,0.9175,0.9176,0.9177,0.9178,0.9178999999999999,0.918,0.9181,0.9182,0.9183,0.9184,0.9185000000000001,0.9186000000000001,0.9187000000000001,0.9188000000000001,0.9189,0.919,0.9191,0.9192,0.9193,0.9194,0.9195,0.9196,0.9197,0.9198,0.9198999999999999,0.92,0.9201,0.9202,0.9203,0.9204,0.9205000000000001,0.9206000000000001,0.9207000000000001,0.9208000000000001,0.9209,0.921,0.9211,0.9212,0.9213,0.9214,0.9215,0.9216,0.9217,0.9218,0.9218999999999999,0.922,0.9221,0.9222,0.9223,0.9224,0.9225000000000001,0.9226000000000001,0.9227000000000001,0.9228000000000001,0.9229,0.923,0.9231,0.9232,0.9233,0.9234,0.9235,0.9236,0.9237,0.9238,0.9238999999999999,0.924,0.9241,0.9242,0.9243,0.9244,0.9245000000000001,0.9246000000000001,0.9247000000000001,0.9248000000000001,0.9249,0.925,0.9251,0.9252,0.9253,0.9254,0.9255,0.9256,0.9257,0.9258,0.9259,0.926,0.9261,0.9262,0.9263,0.9264,0.9265000000000001,0.9266000000000001,0.9267000000000001,0.9268000000000001,0.9269000000000001,0.927,0.9271,0.9272,0.9273,0.9274,0.9275,0.9276,0.9277,0.9278,0.9279,0.928,0.9281,0.9282,0.9283,0.9284,0.9285000000000001,0.9286000000000001,0.9287000000000001,0.9288000000000001,0.9289000000000001,0.929,0.9291,0.9292,0.9293,0.9294,0.9295,0.9296,0.9297,0.9298,0.9299,0.9299999999999999,0.9301,0.9302,0.9303,0.9304,0.9305,0.9306000000000001,0.9307000000000001,0.9308000000000001,0.9309000000000001,0.931,0.9311,0.9312,0.9313,0.9314,0.9315,0.9316,0.9317,0.9318,0.9319,0.9319999999999999,0.9321,0.9322,0.9323,0.9324,0.9325,0.9326000000000001,0.9327000000000001,0.9328000000000001,0.9329000000000001,0.933,0.9331,0.9332,0.9333,0.9334,0.9335,0.9336,0.9337,0.9338,0.9339,0.9339999999999999,0.9341,0.9342,0.9343,0.9344,0.9345,0.9346000000000001,0.9347000000000001,0.9348000000000001,0.9349000000000001,0.935,0.9351,0.9352,0.9353,0.9354,0.9355,0.9356,0.9357,0.9358,0.9359,0.9359999999999999,0.9361,0.9362,0.9363,0.9364,0.9365,0.9366000000000001,0.9367000000000001,0.9368000000000001,0.9369000000000001,0.937,0.9371,0.9372,0.9373,0.9374,0.9375,0.9376,0.9377,0.9378,0.9379,0.938,0.9381,0.9382,0.9383,0.9384,0.9385,0.9386000000000001,0.9387000000000001,0.9388000000000001,0.9389000000000001,0.9390000000000001,0.9391,0.9392,0.9393,0.9394,0.9395,0.9396,0.9397,0.9398,0.9399,0.94,0.9401,0.9402,0.9403,0.9404,0.9405,0.9406000000000001,0.9407000000000001,0.9408000000000001,0.9409000000000001,0.9410000000000001,0.9411,0.9412,0.9413,0.9414,0.9415,0.9416,0.9417,0.9418,0.9419,0.942,0.9421,0.9422,0.9423,0.9424,0.9425,0.9426000000000001,0.9427000000000001,0.9428000000000001,0.9429000000000001,0.9430000000000001,0.9431,0.9432,0.9433,0.9434,0.9435,0.9436,0.9437,0.9438,0.9439,0.944,0.9440999999999999,0.9442,0.9443,0.9444,0.9445,0.9446,0.9447000000000001,0.9448000000000001,0.9449000000000001,0.9450000000000001,0.9451,0.9452,0.9453,0.9454,0.9455,0.9456,0.9457,0.9458,0.9459,0.946,0.9460999999999999,0.9462,0.9463,0.9464,0.9465,0.9466,0.9467000000000001,0.9468000000000001,0.9469000000000001,0.9470000000000001,0.9471,0.9472,0.9473,0.9474,0.9475,0.9476,0.9477,0.9478,0.9479,0.948,0.9480999999999999,0.9482,0.9483,0.9484,0.9485,0.9486,0.9487000000000001,0.9488000000000001,0.9489000000000001,0.9490000000000001,0.9491,0.9492,0.9493,0.9494,0.9495,0.9496,0.9497,0.9498,0.9499,0.95,0.9501,0.9502,0.9503,0.9504,0.9505,0.9506,0.9507000000000001,0.9508000000000001,0.9509000000000001,0.9510000000000001,0.9511000000000001,0.9512,0.9513,0.9514,0.9515,0.9516,0.9517,0.9518,0.9519,0.952,0.9521,0.9522,0.9523,0.9524,0.9525,0.9526,0.9527000000000001,0.9528000000000001,0.9529000000000001,0.9530000000000001,0.9531000000000001,0.9532,0.9533,0.9534,0.9535,0.9536,0.9537,0.9538,0.9539,0.954,0.9541,0.9542,0.9543,0.9544,0.9545,0.9546,0.9547000000000001,0.9548000000000001,0.9549000000000001,0.9550000000000001,0.9551000000000001,0.9552,0.9553,0.9554,0.9555,0.9556,0.9557,0.9558,0.9559,0.956,0.9561,0.9561999999999999,0.9563,0.9564,0.9565,0.9566,0.9567,0.9568000000000001,0.9569000000000001,0.9570000000000001,0.9571000000000001,0.9572,0.9573,0.9574,0.9575,0.9576,0.9577,0.9578,0.9579,0.958,0.9581,0.9581999999999999,0.9583,0.9584,0.9585,0.9586,0.9587,0.9588000000000001,0.9589000000000001,0.9590000000000001,0.9591000000000001,0.9592,0.9593,0.9594,0.9595,0.9596,0.9597,0.9598,0.9599,0.96,0.9601,0.9601999999999999,0.9603,0.9604,0.9605,0.9606,0.9607,0.9608000000000001,0.9609000000000001,0.9610000000000001,0.9611000000000001,0.9612,0.9613,0.9614,0.9615,0.9616,0.9617,0.9618,0.9619,0.962,0.9621,0.9621999999999999,0.9623,0.9624,0.9625,0.9626,0.9627,0.9628000000000001,0.9629000000000001,0.9630000000000001,0.9631000000000001,0.9632000000000001,0.9633,0.9634,0.9635,0.9636,0.9637,0.9638,0.9639,0.964,0.9641,0.9642,0.9643,0.9644,0.9645,0.9646,0.9647,0.9648000000000001,0.9649000000000001,0.9650000000000001,0.9651000000000001,0.9652000000000001,0.9653,0.9654,0.9655,0.9656,0.9657,0.9658,0.9659,0.966,0.9661,0.9662,0.9663,0.9664,0.9665,0.9666,0.9667,0.9668000000000001,0.9669000000000001,0.9670000000000001,0.9671000000000001,0.9672000000000001,0.9673,0.9674,0.9675,0.9676,0.9677,0.9678,0.9679,0.968,0.9681,0.9682,0.9683,0.9684,0.9685,0.9686,0.9687,0.9688000000000001,0.9689000000000001,0.9690000000000001,0.9691000000000001,0.9692000000000001,0.9693,0.9694,0.9695,0.9696,0.9697,0.9698,0.9699,0.97,0.9701,0.9702,0.9702999999999999,0.9704,0.9705,0.9706,0.9707,0.9708,0.9709000000000001,0.9710000000000001,0.9711000000000001,0.9712000000000001,0.9713,0.9714,0.9715,0.9716,0.9717,0.9718,0.9719,0.972,0.9721,0.9722,0.9722999999999999,0.9724,0.9725,0.9726,0.9727,0.9728,0.9729000000000001,0.9730000000000001,0.9731000000000001,0.9732000000000001,0.9733,0.9734,0.9735,0.9736,0.9737,0.9738,0.9739,0.974,0.9741,0.9742,0.9742999999999999,0.9744,0.9745,0.9746,0.9747,0.9748,0.9749000000000001,0.9750000000000001,0.9751000000000001,0.9752000000000001,0.9753000000000001,0.9754,0.9755,0.9756,0.9757,0.9758,0.9759,0.976,0.9761,0.9762,0.9763,0.9764,0.9765,0.9766,0.9767,0.9768,0.9769000000000001,0.9770000000000001,0.9771000000000001,0.9772000000000001,0.9773000000000001,0.9774,0.9775,0.9776,0.9777,0.9778,0.9779,0.978,0.9781,0.9782,0.9783,0.9784,0.9785,0.9786,0.9787,0.9788,0.9789000000000001,0.9790000000000001,0.9791000000000001,0.9792000000000001,0.9793000000000001,0.9794,0.9795,0.9796,0.9797,0.9798,0.9799,0.98,0.9801,0.9802,0.9803,0.9804,0.9805,0.9806,0.9807,0.9808,0.9809000000000001,0.9810000000000001,0.9811000000000001,0.9812000000000001,0.9813000000000001,0.9814,0.9815,0.9816,0.9817,0.9818,0.9819,0.982,0.9821,0.9822,0.9823,0.9823999999999999,0.9825,0.9826,0.9827,0.9828,0.9829,0.9830000000000001,0.9831000000000001,0.9832000000000001,0.9833000000000001,0.9834,0.9835,0.9836,0.9837,0.9838,0.9839,0.984,0.9841,0.9842,0.9843,0.9843999999999999,0.9845,0.9846,0.9847,0.9848,0.9849,0.9850000000000001,0.9851000000000001,0.9852000000000001,0.9853000000000001,0.9854,0.9855,0.9856,0.9857,0.9858,0.9859,0.986,0.9861,0.9862,0.9863,0.9863999999999999,0.9865,0.9866,0.9867,0.9868,0.9869,0.9870000000000001,0.9871000000000001,0.9872000000000001,0.9873000000000001,0.9874,0.9875,0.9876,0.9877,0.9878,0.9879,0.988,0.9881,0.9882,0.9883,0.9884,0.9885,0.9886,0.9887,0.9888,0.9889,0.9890000000000001,0.9891000000000001,0.9892000000000001,0.9893000000000001,0.9894000000000001,0.9895,0.9896,0.9897,0.9898,0.9899,0.99,0.9901,0.9902,0.9903,0.9904,0.9905,0.9906,0.9907,0.9908,0.9909,0.9910000000000001,0.9911000000000001,0.9912000000000001,0.9913000000000001,0.9914000000000001,0.9915,0.9916,0.9917,0.9918,0.9919,0.992,0.9921,0.9922,0.9923,0.9924,0.9925,0.9926,0.9927,0.9928,0.9929,0.9930000000000001,0.9931000000000001,0.9932000000000001,0.9933000000000001,0.9934000000000001,0.9935,0.9936,0.9937,0.9938,0.9939,0.994,0.9941,0.9942,0.9943,0.9944,0.9945,0.9946,0.9947,0.9948,0.9949,0.9950000000000001,0.9951000000000001,0.9952000000000001,0.9953000000000001,0.9954000000000001,0.9955,0.9956,0.9957,0.9958,0.9959,0.996,0.9961,0.9962,0.9963,0.9964,0.9964999999999999,0.9966,0.9967,0.9968,0.9969,0.997,0.9971000000000001,0.9972000000000001,0.9973000000000001,0.9974000000000001,0.9975,0.9976,0.9977,0.9978,0.9979,0.998,0.9981,0.9982,0.9983,0.9984,0.9984999999999999,0.9986,0.9987,0.9988,0.9989,0.999,0.9991000000000001,0.9992000000000001,0.9993000000000001,0.9994000000000001,0.9995,0.9996,0.9997,0.9998,0.9999,1.0],\\\"y\\\":[0.9986541833745752,0.9986530561908105,0.9986519290070456,0.9986508018232807,0.9986496746395159,0.998648547455751,0.9986474202719862,0.9986462930882214,0.9986451659044564,0.9986440387206916,0.9986429115369269,0.9986417049591603,0.9986404288484163,0.9986391527376722,0.9986378766269283,0.9986366005161842,0.9986353244054402,0.9986340482946963,0.9986327721839521,0.9986314960732081,0.9986302199624641,0.9986289438517201,0.9986276677409761,0.998626391630232,0.9986251155194881,0.9986238394087441,0.9986225632979999,0.998621287187256,0.998620011076512,0.998618734965768,0.998617458855024,0.9986161827442799,0.9986149066335359,0.998613630522792,0.998612354412048,0.9986110783013038,0.9986098021905598,0.9986085260798159,0.9986072499690718,0.9986059738583278,0.9986046977475838,0.9986032631853556,0.998601827880069,0.9986003925747822,0.9985989572694955,0.9985975219642087,0.9985960866589221,0.9985946513536353,0.9985932160483486,0.998591780743062,0.9985903454377751,0.9985889101324885,0.9985874748272019,0.998586039521915,0.9985846042166283,0.9985831689113417,0.998581733606055,0.9985802983007682,0.9985788629954815,0.9985774276901949,0.998575992384908,0.9985745570796214,0.9985731217743347,0.9985716864690479,0.9985702511637612,0.9985688158584745,0.9985673805531878,0.998565945247901,0.9985645099426144,0.9985630746373277,0.9985616393320409,0.9985602040267542,0.9985587687214675,0.9985573334161808,0.9985558981108941,0.9985544628056073,0.9985530275003207,0.9985515921950339,0.9985501568897472,0.9985487215844605,0.9985472862791738,0.998545850973887,0.9985444156686003,0.9985429803633137,0.9985415450580268,0.9985401097527402,0.9985386744474534,0.9985372391421667,0.9985358038368799,0.9985343685315933,0.9985329332263067,0.9985314979210198,0.9985300626157331,0.9985286273104464,0.9985271920051597,0.998525756699873,0.9985243213945862,0.9985228860892996,0.9985214507840128,0.9985200154787262,0.9985185801734394,0.9985171448681527,0.998515709562866,0.9985142742575792,0.9985128389522926,0.9985114036470057,0.9985099683417191,0.9985085330364323,0.9985070977311457,0.9985056624258589,0.9985042271205722,0.9985027918152856,0.9985013565099987,0.9984999212047121,0.9984984858994255,0.9984970505941386,0.9984956152888518,0.9984942942196904,0.9984931237195697,0.998491953219449,0.9984907827193281,0.9984896122192074,0.9984884417190867,0.998487271218966,0.9984861007188452,0.9984849302187244,0.9984837597186037,0.998482589218483,0.9984814187183624,0.9984802482182416,0.9984790777181207,0.9984779072180001,0.9984767367178793,0.9984755662177585,0.9984743957176379,0.9984732252175171,0.9984720547173964,0.9984708842172756,0.9984697137171549,0.9984685432170342,0.9984673727845492,0.9984662287661221,0.9984650847476948,0.9984639407292676,0.9984627967108405,0.9984616526924132,0.998460508673986,0.9984593646555588,0.9984582206371315,0.9984570766187044,0.9984559326002772,0.99845478858185,0.9984536445634229,0.9984525005449957,0.9984513565265685,0.9984502125081411,0.998449068489714,0.9984479244712867,0.9984467804528596,0.9984456364344323,0.9984444924160052,0.9984433483975781,0.9984422043791508,0.9984410603607236,0.9984399163422965,0.9984387723238692,0.998437628305442,0.9984364842870148,0.9984353402685875,0.9984341962501604,0.9984330522317332,0.998431908213306,0.9984307641948789,0.9984296201764518,0.9984284927061704,0.9984274654444172,0.9984264381826642,0.9984254109209111,0.998424383659158,0.998423356397405,0.9984223549717204,0.9984213818114829,0.9984204086512452,0.9984194354910074,0.9984184623307699,0.9984174891705322,0.9984165160102947,0.998415542850057,0.9984145696898192,0.9984135965295815,0.9984126233693439,0.9984116502091063,0.9984106463693352,0.9984091273918885,0.9984076084144418,0.9984060894369953,0.9984045704595486,0.9984030514821018,0.9984015325046551,0.9984000135272086,0.9983984945497619,0.9983969755723153,0.9983954565948685,0.998393937617422,0.9983924186399753,0.9983908996625287,0.998389380685082,0.9983878617076354,0.9983863427301887,0.9983848237527421,0.9983833047752955,0.9983817857978488,0.9983802668204022,0.9983787478429554,0.9983772288655088,0.9983757098880621,0.9983741909106154,0.9983726789120133,0.998371203420537,0.9983697279290606,0.9983682524375843,0.9983667769461082,0.9983653014546319,0.9983638259631555,0.9983623504716792,0.9983608749802031,0.9983593994887268,0.9983579239972504,0.9983562884809749,0.9983534917260751,0.9983506949711753,0.9983478982162757,0.9983451014613759,0.9983423047064761,0.9983395319593631,0.9983368175531048,0.9983341031468465,0.9983315062307119,0.9983297532156583,0.998328000200605,0.9983262471855514,0.9983245027553235,0.998322827672804,0.9983211525902844,0.9983194775077648,0.9983178024252455,0.998316127342726,0.9983144522602065,0.998312777177687,0.9983111020951674,0.9983094270126479,0.9983077519301284,0.9983060768476091,0.9983044017650895,0.9983027266825699,0.9983010516000504,0.998299376517531,0.9982977014350114,0.9982960365311657,0.9982943728769329,0.9982927092227001,0.9982910455684674,0.9982893819142346,0.9982877182600018,0.998286054605769,0.9982843909515362,0.9982827272973034,0.9982810636430707,0.998279399988838,0.9982777363346051,0.9982760726803724,0.9982744090261396,0.9982727453719069,0.9982710817176741,0.9982694180634413,0.9982677544092087,0.9982660907549757,0.998264427100743,0.9982627634465102,0.9982610997922774,0.9982594361380446,0.998257772483812,0.9982561088295792,0.9982544451753463,0.9982527815211135,0.9982505140397472,0.998247873633453,0.9982452332271592,0.9982425928208649,0.9982400175623781,0.9982374587518031,0.9982348999412282,0.9982323411306532,0.9982297823200782,0.9982272235095033,0.9982246646989283,0.9982221058883534,0.9982195470777784,0.9982169882672034,0.9982144294566284,0.9982118706460534,0.9982093118354786,0.9982067530249037,0.9982041942143287,0.9982016354037537,0.9981990765931787,0.9981965177826037,0.9981939589720288,0.9981914001614537,0.9981893301006757,0.9981879306801447,0.9981852040889259,0.9981824136999591,0.9981796233109922,0.9981768329220253,0.9981752706989268,0.9981737174606519,0.998172164222377,0.9981705774194648,0.9981677196602905,0.9981648619011163,0.9981620041419421,0.9981591463827678,0.9981562886235935,0.9981534308644194,0.9981505731052451,0.9981477153460709,0.9981448575868967,0.9981419998277223,0.9981391420685481,0.998136284309374,0.9981334338965984,0.9981307246315065,0.9981280153664147,0.9981245301305655,0.9981204918373483,0.9981164535441309,0.9981124152509135,0.9981083769576962,0.9981045983389746,0.9981018432593085,0.9980990881796422,0.9980963330999759,0.9980935780203097,0.9980909275239338,0.9980882855994031,0.9980856436748724,0.9980832343037886,0.9980819365000626,0.9980806386963363,0.9980793408926103,0.9980780430888841,0.9980767452851581,0.9980754474814318,0.9980741496777058,0.9980728518739795,0.9980715540702535,0.9980702562665273,0.9980689584628013,0.998067660659075,0.998066362855349,0.9980650650516228,0.9980637726474851,0.9980625031750241,0.9980612337025629,0.9980599642301018,0.9980586947576406,0.9980574252851796,0.9980561558127183,0.9980548863402574,0.998053616867796,0.9980523473953351,0.9980510779228738,0.9980498084504128,0.9980485389779516,0.9980472695054905,0.9980460000330293,0.9980447305605683,0.998043461088107,0.9980421916156461,0.9980409221431847,0.9980396526707238,0.9980383831982624,0.9980371137258015,0.9980358442533402,0.9980345747808792,0.998033305308418,0.9980319588615088,0.9980303808171357,0.9980288027727626,0.9980272247283895,0.9980256466840165,0.9980240686396433,0.9980222135237553,0.9980196526780727,0.9980170918323898,0.9980145309867072,0.9980119701410244,0.9980094092953418,0.998006848449659,0.9980042876039763,0.9980017267582937,0.9979991659126108,0.9979966050669282,0.9979940442212456,0.997991040041076,0.9979880033969202,0.9979849667527644,0.9979820719381771,0.9979793416330003,0.9979766113278234,0.9979738810226466,0.9979712167464193,0.9979685967891969,0.9979659768319744,0.9979633568747521,0.9979607369175296,0.9979577833048914,0.9979544804926203,0.9979517353618725,0.9979495753575609,0.9979474153532493,0.997945378427123,0.9979435734446022,0.9979417684620812,0.9979399634795604,0.9979381584970395,0.9979363535145186,0.9979345485319978,0.9979327435494769,0.997930938566956,0.9979291335844352,0.9979273356058602,0.9979255717931745,0.9979238079804891,0.9979220441678034,0.9979202803551178,0.9979185165424322,0.9979167771065364,0.9979150414824117,0.9979133058582871,0.9979115702341625,0.9979098346100378,0.9979080989859133,0.9979063633617886,0.9979046277376639,0.9979028921135393,0.9979011564894146,0.99789942086529,0.9978976852411654,0.9978959496170408,0.9978942139929161,0.9978924783687915,0.9978907427446668,0.9978890071205422,0.9978872714964175,0.9978855358722929,0.9978833077691486,0.9978810182809543,0.99787872879276,0.9978764393045656,0.9978741498163712,0.997871860328177,0.9978695708399827,0.9978672813517885,0.9978649918635941,0.9978627023753996,0.9978605231969717,0.9978589936196512,0.9978574640423308,0.9978559344650102,0.9978544048876896,0.997852875310369,0.9978516073376458,0.9978507479157241,0.9978498884938024,0.9978490290718807,0.9978481696499589,0.9978473102280372,0.9978464508061156,0.9978455913841937,0.9978447466413818,0.9978425691667238,0.9978403460506999,0.997838122934676,0.9978358998186521,0.9978336767026281,0.9978314535866042,0.9978292304705804,0.9978270073545564,0.9978247842385325,0.9978225611225087,0.9978190651801284,0.9978155328727403,0.9978120005653524,0.9978084682579641,0.997804935950576,0.9978014036431878,0.9977978713357996,0.9977943390284116,0.9977908067210235,0.9977872744136354,0.9977837421062472,0.9977802185335483,0.9977775319425702,0.9977751316635017,0.9977727313844331,0.9977703311053645,0.997767930826296,0.9977655305472275,0.9977631302681589,0.9977607299890905,0.9977584207857353,0.9977561902505531,0.9977539597153711,0.9977517291801886,0.9977494986450064,0.9977476631196824,0.9977458833215251,0.9977441035233682,0.997742323725211,0.9977405439270539,0.9977387641288968,0.9977369843307398,0.9977348708039873,0.9977327363817372,0.9977306019594872,0.9977284675372371,0.9977264231666186,0.9977238990982539,0.9977205638585707,0.9977172286188873,0.9977147603886071,0.9977125611311497,0.9977103618736923,0.997708162616235,0.9977059633587775,0.99770376410132,0.9977015648438625,0.9976994584641716,0.9976975575194067,0.9976956565746418,0.9976937556298768,0.9976918546851119,0.997689953740347,0.997688052795582,0.9976861518508171,0.9976842509060522,0.9976823499612871,0.9976804490165223,0.9976780809824515,0.9976752480936737,0.9976724152048959,0.9976696544278416,0.997666909017825,0.9976641636078081,0.9976614181977914,0.9976586727877746,0.9976559273777579,0.9976531819677411,0.9976504365577243,0.9976476911477077,0.9976449457376908,0.9976422003276741,0.9976394549176574,0.997636810439115,0.997634329226029,0.9976320782888148,0.9976302022518262,0.9976283262148375,0.9976264501778489,0.9976245741408603,0.9976226981038714,0.9976208220668827,0.9976189460298941,0.9976170699929054,0.9976151923322198,0.9976132454497488,0.9976112985672779,0.997609351684807,0.9976074048023362,0.9976054579198652,0.9976035110373943,0.9976015641549234,0.9975996172724525,0.9975975448365062,0.9975953899522569,0.9975932350680076,0.9975910801837582,0.997588925299509,0.9975867704152597,0.9975845799738445,0.997581689773211,0.9975787995725776,0.9975759162304378,0.9975730879323029,0.997570303425363,0.9975675189184231,0.9975647344114833,0.9975620029657868,0.997560330948705,0.997558658931623,0.9975569869145411,0.997555314897459,0.9975536759533804,0.9975520608580376,0.9975504457626949,0.9975488306673521,0.9975472155720093,0.9975456004766666,0.9975439853813238,0.9975423702859811,0.997540875999356,0.9975397135263976,0.9975383653511238,0.9975367078317878,0.9975350503124518,0.997533392793116,0.99753173527378,0.9975300777544441,0.9975284202351082,0.9975267743671847,0.9975252045283358,0.9975236779177663,0.9975221513071968,0.9975206246966273,0.9975191100537039,0.9975176292704355,0.9975161484871672,0.9975146677038986,0.9975131869206305,0.9975117061373621,0.9975102974265974,0.9975093502568095,0.9975084030870216,0.9975074559172339,0.997506064973227,0.9975023233139584,0.9974987773651971,0.997494787151894,0.9974902983735943,0.9974858095952945,0.9974813208169948,0.9974781912208233,0.9974750874099174,0.9974719835990117,0.9974690835052442,0.9974669794829605,0.9974648754606767,0.9974627714383932,0.9974606674161095,0.997457519608547,0.9974543090926475,0.9974510985767483,0.9974478880608489,0.9974446775449495,0.9974415614221206,0.9974397125191852,0.9974381178680114,0.9974365232168378,0.9974349797425276,0.997433456018276,0.9974319322940246,0.9974304085697729,0.9974283553939076,0.9974261475660702,0.9974242649533389,0.9974227808782465,0.9974212968031541,0.9974198127280616,0.9974183485183488,0.9974168459241539,0.9974146387441611,0.9974123219156796,0.9974100050871983,0.9974076882587171,0.9974053714302358,0.9974030546017545,0.9974007377732732,0.9973987394084926,0.9973972556225006,0.9973957718365087,0.9973942846270214,0.9973927966989502,0.9973912004817139,0.9973894118282374,0.9973876231747608,0.9973858345212843,0.9973830671503519,0.9973794891101091,0.9973760154183444,0.9973722500676125,0.9973684847168806,0.9973648034711308,0.9973611507352865,0.9973574979994424,0.9973537991614863,0.9973500839836932,0.9973467835291716,0.9973434830746499,0.9973401826201284,0.9973368821656068,0.9973335994982175,0.9973294464190181,0.9973264479705621,0.9973238385942742,0.9973220311587399,0.9973205537604736,0.997317608884237,0.9973143248724816,0.9973111642398177,0.9973084808576853,0.9973060503238957,0.9973032589652189,0.9972989690940242,0.9972943664229039,0.9972922462267381,0.997290126030572,0.9972887044732,0.9972858942435525,0.9972819090753745,0.9972795520875681,0.9972783578415074,0.9972771635954467,0.9972759693493858,0.9972747751033252,0.9972735808572644,0.9972723866112037,0.9972711923651429,0.9972698925142094,0.9972685425585904,0.9972671919973213,0.9972658414360525,0.9972644908747834,0.9972629917113245,0.9972583520046345,0.9972538179762653,0.9972501801212745,0.9972485684056407,0.9972469566900068,0.9972453449743732,0.9972436403546301,0.997241019668373,0.9972380803859933,0.9972351155343728,0.9972321506827521,0.9972291858311315,0.9972262209795109,0.9972232561278902,0.9972200710323005,0.9972173557683792,0.9972152900724061,0.9972132884652751,0.9972124310926316,0.997211623231175,0.9972104488508069,0.9972082327818913,0.9972057278535207,0.997203242570692,0.9972008075508565,0.9971983725310207,0.9971942885360605,0.9971900428059839,0.9971858694018034,0.9971820707613933,0.997180653951756,0.9971794724654093,0.9971782909790627,0.9971771094927162,0.9971752953892581,0.997172521049402,0.9971698636529336,0.9971678330955798,0.9971658310581635,0.9971655231342154,0.9971650347052778,0.9971632438584508,0.9971614530116237,0.9971593295557368,0.9971564783105673,0.997153627065398,0.9971512009269181,0.99714943594102,0.997147670955122,0.9971468022151272,0.9971465177452579,0.9971461905298885,0.9971458633145192,0.9971447488788128,0.997143156705887,0.9971415645329615,0.9971403691013317,0.9971393346396338,0.9971383001779359,0.9971377090964748,0.9971355722518978,0.9971321223736294,0.9971286724953611,0.9971238608497102,0.997118585017912,0.9971147053295621,0.9971118863225268,0.9971090673154912,0.9971070633133312,0.997105539600367,0.9971040158874026,0.9971023326021791,0.997100645898542,0.9970989591949048,0.9970956998937373,0.9970899231749244,0.9970835589999091,0.9970792648616897,0.9970766740093204,0.9970745614088021,0.9970735521929317,0.997072542977061,0.9970711215108979,0.9970692423388854,0.9970672678978919,0.9970630029553762,0.9970587380128604,0.9970544730703446,0.9970503426353214,0.9970468967518932,0.997044235850964,0.997043261287059,0.9970414803518325,0.9970317237418401,0.9970219671318479,0.9970137348044774,0.9970107535236024,0.9970077722427274,0.9970047909618525,0.9970026368773446,0.9970010360767982,0.9969994352762518,0.9969974494605746,0.9969941228318875,0.9969909754032273,0.996988199256877,0.9969854231105268,0.9969842225941826,0.9969832441572317,0.996982233966301,0.9969810707180609,0.9969799074698209,0.9969787442215807,0.9969767352805694,0.9969740131214342,0.9969712909622988,0.9969682926758436,0.9969649302349701,0.9969618357365082,0.9969595417486845,0.9969566106804757,0.9969517340971219,0.9969469357068327,0.9969421373165437,0.9969364641962544,0.9969306934860335,0.9969249227758126,0.9969197545160704,0.9969168498135758,0.9969151874755593,0.9969132147542547,0.996910711467929,0.9969085506610053,0.9969065332444024,0.9969045158277995,0.9969024946519973,0.9968998794869455,0.9968973387981643,0.9968942796094009,0.9968899426700952,0.9968861537695132,0.9968849153359441,0.9968827060336869,0.9968815808442796,0.9968797846169568,0.9968776888775193,0.9968755931380817,0.99687261822731,0.9968688588758368,0.9968654983636314,0.9968637962904408,0.9968619991625156,0.9968602495619576,0.9968589287713012,0.996857398529911,0.9968553580631043,0.9968520868889621,0.9968439517996659,0.9968347095877388,0.9968278299379465,0.9968266345701225,0.9968251679700812,0.9968235312406,0.9968214259531921,0.9968192957951083,0.9968172628464578,0.9968152421501679,0.9968134087708578,0.9968116275758288,0.9968100587830175,0.9968087028660468,0.9968079449984487,0.9968065224189798,0.9968029914589209,0.9967978078828221,0.9967929115622819,0.996790023408664,0.9967872213761089,0.9967850899716877,0.9967812799186769,0.9967767204242132,0.9967707900465327,0.9967648711804942,0.9967638238069471,0.9967621203913876,0.9967595491284506,0.9967558163810377,0.9967523779075766,0.9967493094533872,0.9967460182202184,0.9967426933397059,0.9967396042922637,0.996734226439699,0.9967272308601045,0.9967206143373225,0.9967184309085351,0.9967162893847863,0.9967121503176051,0.9967080673374874,0.9967045322773359,0.9967012364998236,0.9966968625417101,0.996693158999326,0.996690312067956,0.9966868299858289,0.9966832458837906,0.996679634215992,0.9966760699285543,0.996671924747089,0.9966694122833996,0.9966685807053526,0.9966682928663817,0.9966676900382005,0.9966669762271119,0.9966669582995948,0.9966669403597784,0.9966669936568449,0.9966671906416442,0.9966663518038767,0.9966653561702605,0.996664577121212,0.9966634759668779,0.9966617694319522,0.9966595491340973,0.9966517214028434,0.9966428290705422,0.9966373236113352,0.9966337581331094,0.9966319881134154,0.9966298436723244,0.9966267974472911,0.9966241004188758,0.9966232011001728,0.9966216994442194,0.9966169826495309,0.9966119358290866,0.9966091992364922,0.9966059957855007,0.9966019831373512,0.9965979428393483,0.9965934328925867,0.9965886510702895,0.9965883641852422,0.996588077300195,0.9965788360963108,0.996573185106773,0.9965686084708341,0.9965641126222944,0.9965600345211769,0.9965584049122811,0.9965573621821469,0.996556460519952,0.9965554940558694,0.9965537326131289,0.9965488139192757,0.9965413135800124,0.9965324220715468,0.9965273695789485,0.9965213705723154,0.9965168688534212,0.9965120614857021,0.9965092481926242,0.9965046879099719,0.9965002654716348,0.9964980616478165,0.9964961396273442,0.9964947414276066,0.9964915818038859,0.9964869053588401,0.9964863112807465,0.9964856847705525,0.9964845101927476,0.9964825463684361,0.9964812776024643,0.9964794793963492,0.996477271373044,0.9964763461305519,0.9964719227429262,0.9964679887634629,0.9964645677959882,0.9964640823693395,0.9964640293241713,0.9964638482362196,0.9964624397987096,0.9964609996844243,0.9964584823917494,0.9964467719919159,0.9964242170626317,0.9964235838680031,0.9964228196458345,0.9964183073869314,0.9964134692938054,0.9964087577120508,0.99640242678171,0.9963958842022009,0.9963914772834351,0.9963900724547728,0.9963892876206126,0.9963873740865581,0.9963838407231745,0.9963815663957667,0.9963776882386969,0.9963740098793041,0.9963735582441119,0.9963738333252179,0.9963726825209023,0.9963709428122138,0.9963675937184198,0.9963639095587248,0.99636100652793,0.9963568441491193,0.9963503455201328,0.9963453896930139,0.9963426744122628,0.996340648615363,0.9963394634879081,0.9963377240261712,0.9963351256162918,0.9963305311851405,0.996325959281354,0.9963219794400853,0.9963207697728885,0.9963148753242059,0.996310190276174,0.9963054277782701,0.996299607051867,0.9962941493554828,0.9962889804439172,0.996281690249647,0.9962700647521809,0.9962656764710761,0.9962641815679343,0.9962607301389308,0.9962577964098726,0.9962550798403473,0.9962515222920486,0.9962476233555423,0.9962454106769943,0.9962447589848762,0.9962444007049696,0.9962415890326699,0.9962376650455319,0.99623268977475,0.9962271490294496,0.9962262039666855,0.9962253913842152,0.9962200181255056,0.9962129829061674,0.9962066786805728,0.9962000422133532,0.9961956381879552,0.9961934967464041,0.9961925073665066,0.9961912382715684,0.9961875752458351,0.9961780720157682,0.9961688922277934,0.9961622752786575,0.9961581902339034,0.9961557263440877,0.9961541421048088,0.9961524846272519,0.996149179157219,0.9961437100098968,0.9961381729381489,0.9961350442995971,0.9961319985685371,0.9961264960241739,0.9961213830261213,0.9961206478772471,0.996120418098361,0.9961182693996917,0.9961149645881923,0.996111307377716,0.996107605203199,0.9961050180200096,0.9961017567612942,0.9960999037587293,0.9960955402009715,0.9960933223789232,0.9960927729854543,0.9960919661546311,0.9960891521386687,0.9960864587489942,0.9960835397007587,0.9960809267335514,0.9960787848537866,0.9960777556911011,0.9960763029974373,0.996072246902808,0.9960696666509232,0.9960671645912331,0.9960647438138636,0.9960614849900998,0.9960587009479216,0.996055420128071,0.9960539821740162,0.9960539127831554,0.9960491891971379,0.9960421319554168,0.9960353813000198,0.9960310458709425,0.9960287302824578,0.9960271219826613,0.9960249975241984,0.996021985485765,0.9960198643587017,0.9960175903163329,0.9960147497406766,0.9960118014584219,0.996009329981221,0.9960060155826981,0.9960041602306606,0.9960030402810991,0.9959978689964163,0.9959916211360555,0.9959890892699803,0.9959833773590475,0.9959796496046949,0.9959760140455908,0.9959739566829316,0.9959730252517973,0.9959723246582295,0.9959711638457033,0.9959699338520964,0.9959628704376051,0.9959598890821835,0.9959580760250728,0.9959564765971738,0.9959547270560365,0.9959520816691945,0.995948278550936,0.9959423483553457,0.995939466695798,0.9959338054652965,0.9959305049566015,0.9959248869956019,0.9959208363908044,0.9959187703639802,0.9959147478417676,0.9959084306233579,0.9959048652307047,0.99590415717668,0.9959023218335495,0.9958985442905837,0.9958945536925434,0.9958918813269275,0.9958894228162645,0.9958858740693711,0.995883191428687,0.9958792228873654,0.9958754733117948,0.9958730286313562,0.9958717999967968,0.9958662381885905,0.9958626293862385,0.9958591252013034,0.9958564957633014,0.9958549452849561,0.9958503577372164,0.995846096117224,0.995841957994368,0.9958363640402347,0.9958314004298805,0.9958285832715722,0.9958285718313138,0.9958273547607648,0.9958199332308206,0.9958066288520031,0.9958031131350975,0.9958011653791117,0.9957955310103809,0.995791857145169,0.9957908750288451,0.9957899315944015,0.9957759646158973,0.9957653381643157,0.9957644980172676,0.9957623266894269,0.9957585059361012,0.9957568237556627,0.9957569446362411,0.9957552498809075,0.9957504873162707,0.9957382944490216,0.9957327337875448,0.9957263340471858,0.9957211254125242,0.9957149198734682,0.9957115418629775,0.9957099094315291,0.995709855527961,0.995701753897164,0.9956964373595325,0.9956949834344244,0.9956856267531703,0.9956796805263115,0.9956711570267134,0.9956650290610871,0.9956608589813296,0.9956582245029795,0.9956566722256147,0.9956549299404335,0.9956482310060548,0.9956416282441722,0.9956323731245433,0.9956276278879768,0.9956253310241857,0.9956176910736083,0.9956122864208805,0.9956094245835125,0.9956055855558668,0.9955999488231848,0.9955928669604157,0.9955923221199396,0.9955922273392217,0.9955884162635027,0.9955856092435249,0.9955828192851006,0.9955808386688527,0.9955787626408497,0.9955619805268983,0.9955482930360677,0.9955448022845426,0.9955422639129474,0.9955406897525482,0.9955362224095836,0.995534019043899,0.9955283945272806,0.9955238556301691,0.9955224376127005,0.9955187784237933,0.9955159063372313,0.9955115965908075,0.9955038723373258,0.9955018054628115,0.9954969384155208,0.9954909814755654,0.9954864625790818,0.9954801079151552,0.9954681025564392,0.9954623715124542,0.9954588855760444,0.9954538419982243,0.9954509644496653,0.9954469667424847,0.995442268528209,0.9954388882797882,0.9954327123580768,0.9954305861833831,0.9954252646251343,0.9954219114107626,0.9954194853285139,0.9954046229890734,0.9953916121358186,0.9953849347091156,0.9953832956077674,0.9953777510468547,0.9953715347220364,0.9953621010833359,0.9953552553037319,0.9953514886439803,0.9953477336495864,0.9953445650321702,0.9953379289896866,0.9953316293638437,0.9953271938874638,0.9953149822990237,0.9953139312023329,0.9953136903528191,0.9953092727278467,0.9953034839858421,0.9952985058420525,0.9952937773530254,0.9952913275501152,0.995289458779991,0.99528810282362,0.9952857031880669,0.9952804795867729,0.9952772707134498,0.9952732516568927,0.9952692890368022,0.9952590806713305,0.9952495344469008,0.9952399888293489,0.9952326695687003,0.9952312897933937,0.9952260223430986,0.9952206779751127,0.9952062377596657,0.9951886091882468,0.9951789640675619,0.9951718045738341,0.9951641670335725,0.9951564383256213,0.9951508265757268,0.995147594964984,0.9951420681397971,0.9951357499934054,0.995125929542541,0.9951068239270365,0.9950925969680126,0.9950868385912441,0.9950817326619581,0.9950787328739922,0.9950672842017321,0.9950498181425286,0.9950319945942462,0.9950236669397236,0.9950220653320778,0.9950119835443931,0.9950010764372228,0.9949938474699492,0.9949934048560276,0.9949929336472252,0.9949840625765027,0.9949715476986475,0.9949652647023124,0.9949590726523617,0.9949529803709432,0.9949458195741683,0.9949385050603079,0.9949349868934116,0.9949272912043259,0.9949193275584762,0.9949165667192041,0.9949077381300837,0.9948912268699519,0.9948813298197969,0.994876288534692,0.9948695902060949,0.9948669308834733,0.9948620589274519,0.9948578637309184,0.9948531499574497,0.9948448917014476,0.9948380452387344,0.9948331256347409,0.9948286493664835,0.9948119006879159,0.994800573542036,0.9947933692863234,0.9947894492513747,0.9947839016052316,0.9947729045554783,0.9947653792307878,0.9947643158220243,0.9947584177108237,0.9947492538716294,0.9947413428633279,0.994732464812617,0.9947272163866767,0.9947253042529727,0.9947245570689754,0.9947173707873399,0.994699219311151,0.9946953452093981,0.994692098576837,0.9946857620066992,0.9946819252475785,0.9946771303003641,0.9946689147772033,0.9946442945784821,0.9946379367235767,0.9946356855426493,0.9946340051863014,0.9946272537453423,0.9946179788479481,0.9946087904726704,0.9946033743283162,0.9945940908881497,0.9945914998174478,0.9945878414592861,0.9945805821561795,0.9945708852133603,0.9945674290874154,0.9945616728715181,0.9945569491970265,0.994553191590406,0.9945476435720115,0.9945422792969438,0.9945389703704118,0.9945321964410542,0.9945304064918098,0.9945288950930561,0.9945271429263589,0.9945239614177374,0.9945178873145847,0.9945109513629145,0.9945095627950247,0.9945071378005521,0.994503705604054,0.9944972689583538,0.9944890786387841,0.9944820921709848,0.9944763474336382,0.9944681636622982,0.9944565072002047,0.9944489585634835,0.9944436333318221,0.9944356524691847,0.9944067822205023,0.9943911305573645,0.9943881992918193,0.9943756125567869,0.994366463023642,0.9943650185928317,0.9943619641486743,0.9943580772832092,0.9943549499971032,0.9943383280764233,0.9943312594879774,0.9943271083033183,0.9943239634256515,0.9943193921350946,0.9943083595824644,0.9943022977871363,0.9942999265310993,0.9942976687752085,0.9942949013703717,0.9942916113021361,0.9942826718224976,0.9942728206752247,0.9942692961602516,0.9942645314923263,0.9942586379560991,0.9942420401876653,0.994233485581189,0.9942268521336941,0.9942137375096782,0.9942050105407909,0.9941964406521497,0.9941865427477359,0.9941813861115081,0.9941763989682688,0.9941687898583752,0.9941555260172612,0.994141361746729,0.9941323365281873,0.994125830815533,0.9941200355668608,0.9941167577081529,0.9941106705811984,0.9941053886851985,0.9940988021435695,0.9940956646755814,0.9940914670625953,0.9940854658144507,0.9940835067752786,0.9940812321725022,0.9940720837691596,0.9940639947631078,0.9940603932257175,0.9940547002198643,0.994050051101504,0.9940385829638647,0.9940262353087466,0.9940171594908791,0.9940105709046205,0.994005030083748,0.9939901779112349,0.9939762606898803,0.9939627622507536,0.9939568995227239,0.9939408112904657,0.9939368902178712,0.9939252004596448,0.993912145457048,0.9939075664827381,0.9939009809492292,0.9938842326274508,0.9938662920568184,0.9938561700328468,0.993849003182641,0.993843164195942,0.9938327146731912,0.9938246456614683,0.9938146937269494,0.9938090781775116,0.9938047018066811,0.9937928399975771,0.9937769525975082,0.9937706492956448,0.9937571957886238,0.9937470768255848,0.9937369980993802,0.9937347035405428,0.9937293141580098,0.9937150396636258,0.9937003383357328,0.993682969865679,0.9936783616358345,0.9936624914911605,0.9936431116908597,0.9936368823886306,0.9936353185946679,0.9936332126817766,0.9936288959309543,0.9936209072976304,0.9936139995445862,0.9935998484701829,0.9935901646334642,0.9935842770582001,0.9935750574691519,0.99356488442278,0.9935606552485483,0.9935572534657979,0.993548004104849,0.9935410728801638,0.9935306730579847,0.9935199305568749,0.9935122672378359,0.9935042670124747,0.9934956574893783,0.9934900730657643,0.9934644361148746,0.9934575236542615,0.9934524630988173,0.9934373452410302,0.9934268103069888,0.9934206396908201,0.9934122294245555,0.9934061840272402,0.9933993137217981,0.9933949410950168,0.9933917404760957,0.9933761988957672,0.9933590482168715,0.9933494223776417,0.9933366945498344,0.9933156843373738,0.9933082503310326,0.9933034513406123,0.9933008588749007,0.9932852142114482,0.993272670035365,0.9932600818060282,0.9932469263444172,0.9932312007327826,0.9932188165091826,0.9932084559521177,0.9932073532872054,0.9932015785363724,0.9931925056912766,0.9931878939663641,0.9931769498513334,0.9931678775534619,0.9931531832652769,0.9931256121924831,0.993113967826478,0.9930991260470323,0.9930907933843358,0.9930838148849596,0.9930771838346836,0.9930643789252818,0.9930513875854764,0.9930481142235565,0.9930435236421344,0.993036310098755,0.9930294981491903,0.9930189393760644,0.9930046263471723,0.9929863056550953,0.9929663097569839,0.9929611898285828,0.9929511949482319,0.9929442332822125,0.992935197466652,0.9929321013665164,0.9929229196380797,0.9929080502032146,0.9928977770460228,0.9928901323373998,0.9928790864818478,0.9928660245021446,0.9928580390938232,0.9928552017509137,0.9928495962509114,0.9928288217443193,0.992825944343602,0.9928150493749663,0.9927978277465515,0.9927854327317871,0.9927796263710114,0.9927741309888718,0.9927714345653891,0.9927707396836805,0.9927676144152379,0.9927636716320564,0.9927566804640805,0.9927486404310952,0.992744586476763,0.992737500844403,0.9927193531734634,0.9927057485744117,0.9926978371255422,0.992686022743965,0.9926797326382104,0.9926737950037527,0.9926693742969831,0.9926639920111602,0.9926538036313302,0.9926387830992381,0.99262112948802,0.9926129224693063,0.9926049395770815,0.9925876669503708,0.9925779508834052,0.9925701937585976,0.9925594152486924,0.9925494505723984,0.9925445801690695,0.9925337152436611,0.9925168772155364,0.9925131238068245,0.9925046263033435,0.9924917715271855,0.9924760719089235,0.9924742005624967,0.9924587931348613,0.9924464783400119,0.9924366752076539,0.9924258291802239,0.9924191139501555,0.9924122917126932,0.9923970503524326,0.9923906686507579,0.992376593871882,0.9923674893360677,0.9923649795575493,0.9923560952015472,0.9923440211051204,0.9923255318843133,0.9923171890265573,0.9923052791002349,0.9923003070553704,0.9922857414520367,0.9922766283564932,0.9922678955793705,0.9922606039161981,0.9922490642792765,0.9922363967492254,0.9922220217139944,0.9921990946218179,0.9921876252405113,0.992179895113051,0.9921710219303133,0.9921663228954007,0.9921586702822325,0.9921470322100978,0.9921225476784777,0.9921151561435774,0.9921079608985548,0.9920992097147459,0.9920894436412098,0.9920800433886208,0.9920687792594873,0.9920621899742109,0.9920497304741502,0.9920348974545741,0.9920286575517625,0.9920219900479483,0.9920171494781054,0.9920064488976595,0.9919973702756375,0.9919815997228247,0.9919601491234886,0.9919465670269639,0.9919315853447424,0.9919193937902746,0.9919085913368834,0.9918950869311003,0.9918831216056616,0.9918723025632938,0.9918435710261659,0.991827145251836,0.991817053198962,0.9918062599545778,0.9917929829605397,0.9917896702094995,0.9917875975281545,0.991776570788738,0.9917647519620025,0.9917566635545378,0.9917492586820793,0.9917377505161384,0.9917209502140021,0.9917085603601934,0.9916975405021741,0.9916924457652105,0.991676227938368,0.9916735975846831,0.9916670924194542,0.9916598695665091,0.9916494085838934,0.9916408279329715,0.9916326598694939,0.9916228111300118,0.9916146807293675,0.9916002839616362,0.9915853283869145,0.9915692310635736,0.9915535639587018,0.9915438403713714,0.9915321444889059,0.9915249964792097,0.9915101212998669,0.9914889407217802,0.9914753982185467,0.9914622163663209,0.9914453086476266,0.9914265461175298,0.9914126816859807,0.9913998890536487,0.9913818048506362,0.9913728524865119,0.9913547854199994,0.991332298882287,0.991317559274685,0.9913118221270003,0.9913056310414896,0.9912978968283241,0.9912922770325404,0.9912846213841451,0.9912716179884832,0.9912425047236134,0.9912191210396423,0.991211633181354,0.9912036639909916,0.9911951011813989,0.991189716250061,0.9911778746198485,0.9911620359708566,0.991154811031951,0.9911438155322421,0.991132701988195,0.9911191567163491,0.9911145419604852,0.9911038764385627,0.9910957333324425,0.9910866666853524,0.991072183540224,0.9910579015597814,0.9910460731170398,0.9910321964242333,0.991018217836233,0.9910078271713463,0.9909952555519197,0.9909748529537079,0.9909620508398427,0.9909489867042738,0.9909299028829757,0.9909118831631158,0.9908974629157545,0.990883836873595,0.990878265750937,0.9908692980591568,0.9908534781129164,0.9908361629042823,0.9908154413797301,0.9908054196036804,0.9907970216276482,0.9907874304522546,0.9907761419795704,0.9907671139202416,0.9907615395817078,0.9907529950457057,0.9907421683922901,0.9907352019268252,0.990721974996325,0.9907102470771911,0.9906958147336846,0.9906771652477195,0.990654640460785,0.99063950219043,0.9906315139149335,0.9906224590164664,0.9906121579360382,0.990600102655586,0.9905868315756744,0.9905766144885073,0.9905707785569191,0.990561693264992,0.9905531474524703,0.9905485763860241,0.990545986829692,0.9905358790249179,0.9905194859413209,0.9905089485591196,0.9904983072369455,0.990475437624438,0.9904509589473762,0.9904345326374991,0.990418523154635,0.9904061966169141,0.9903887542374168,0.9903815760072717,0.9903768331618057,0.9903735061407599,0.9903574371941517,0.9903434661746955,0.9903354165287831,0.9903275416043225,0.9903162034291149,0.9903070428309859,0.9903013994006175,0.9902892560944294,0.9902722465339552,0.9902623615213604,0.9902582880448747,0.9902531330607001,0.9902438213421203,0.9902293671665694,0.9902150184475261,0.9902067665604268,0.9901994533978666,0.990186142729349,0.9901692813022799,0.9901589493500331,0.990145680563153,0.9901368502608205,0.9901263568493384,0.9901158540663477,0.990110049913835,0.9901073793612043,0.9900935265866031,0.9900818218487575,0.9900717133854553,0.9900561097406249,0.9900515332665908,0.9900479479882549,0.9900276315072906,0.9900150793646989,0.9899977154433004,0.9899883030627732,0.9899771608067205,0.9899703147433188,0.9899576544748874,0.989938181618947,0.9899145534002856,0.9899035708812443,0.9898903114790447,0.989876197696024,0.989857830726889,0.9898481501423693,0.9898405689103178,0.9898270325668983,0.9898206822134459,0.9898024934339412,0.9897872310604321,0.9897724130162692,0.9897569951665659,0.9897433939158733,0.9897326578606911,0.9897163146835232,0.9897048988728293,0.9896945083492005,0.9896850762539264,0.9896745228099018,0.9896660129826996,0.9896557049438275,0.9896382728348372,0.9896145912987167,0.9895942322850457,0.989582380766317,0.9895748748914174,0.9895619543116065,0.9895550514266869,0.9895482978651902,0.9895356586119398,0.9895216914389291,0.9895127116046748,0.9894954754714287,0.9894641079616826,0.9894437093668917,0.9894324935737289,0.9894190470257718,0.9894021824176772,0.989375169296847,0.9893639003887131,0.9893491368031746,0.9893361506202929,0.9893235634776933,0.9893043917227456,0.9892738109890564,0.9892593145119385,0.9892460775828265,0.9892363146632968,0.9892245613503055,0.9892162774427009,0.9892049851187438,0.9891905279260691,0.9891750876246445,0.9891421958460647,0.9891262139242126,0.9891062564023057,0.9890943276036144,0.9890796224851168,0.9890717144160804,0.9890563866733141,0.9890482816388595,0.9890303112119434,0.9890015504314597,0.9889857408780472,0.988968259344859,0.9889589067855382,0.9889490517583059,0.9889413893820931,0.9889195759997291,0.9889087404002819,0.988888546261821,0.9888539102270719,0.9888396826279104,0.9888296422953428,0.988813910934476,0.9887970150416494,0.9887849889534377,0.9887735159771203,0.9887600387601774,0.9887553492686496,0.9887340406090122,0.9887127157841162,0.9886992301654749,0.9886835667966272,0.9886684593461841,0.9886572153671082,0.9886488336223538,0.9886318198035241,0.9886115110921965,0.9885996036610873,0.9885891318614866,0.9885695998257755,0.988559734717677,0.9885544903952269,0.9885481649713088,0.9885374096489294,0.9885266600597784,0.9885104325106429,0.9884976152187865,0.9884830436961689,0.9884690077020527,0.988446776223515,0.988425014652105,0.9884005458899361,0.9883785871444059,0.9883713519025198,0.9883584373097991,0.9883377651644387,0.9883289432308784,0.9883169331750328,0.9883045929442625,0.9882801929664304,0.9882522698632259,0.9882404353928387,0.9882267376024004,0.9882148688252086,0.9882005844776678,0.9881786935533976,0.9881590842365873,0.9881432689805514,0.9881285323228552,0.9881114893807583,0.988097647327179,0.9880799775396307,0.9880597022898364,0.9880368708047773,0.9880175703523659,0.9880019543763661,0.9879918416730419,0.9879803316906777,0.9879672767797796,0.9879562996140541,0.987943263787129,0.9879179006780257,0.9878943438958838,0.9878757796609559,0.9878559724636513,0.9878459293302707,0.9878260268772849,0.9878040467212289,0.9877783180272907,0.9877451439509943,0.9877326987807497,0.9877219166306273,0.9877063207651574,0.9876953054795952,0.9876863000502766,0.987664452585683,0.9876503603720803,0.98764050918143,0.987632023074055,0.9876040360855589,0.987589072840253,0.9875767105431013,0.9875616107470658,0.9875396336754714,0.9875007460889298,0.98747361975783,0.9874648900285803,0.9874550590374805,0.9874449246190018,0.987436422595088,0.9874160091796849,0.9873908678960119,0.9873777097137735,0.9873661394118027,0.9873500628036572,0.9873331305178131,0.9873210408948855,0.9873086714076983,0.9872899986118809,0.9872761395795351,0.9872599206638839,0.9872535345402558,0.9872392371743479,0.9872241382517197,0.9872107948010957,0.9871915878701152,0.9871806672244996,0.9871725494892812,0.9871649004861571,0.9871602247896041,0.9871509912435013,0.9871103014570893,0.9871045750937097,0.9870816152671331,0.9870722990940702,0.9870596482984861,0.9870403191664977,0.9870295862359288,0.987020598866341,0.9870081231491015,0.9869954616073595,0.986982721259724,0.9869670357724466,0.9869546277880394,0.9869325096704733,0.9869212446967752,0.9868987961045708,0.9868829944709022,0.9868595780803736,0.9868397890238069,0.986821199604224,0.9868034646386346,0.9867876655066798,0.9867640574852703,0.9867451723223666,0.9867346134293031,0.9867198060802056,0.9867042493663682,0.9866829928040675,0.9866676182476777,0.9866549315889491,0.9866493553760981,0.9866402425375564,0.9866298857634362,0.9866141113193267,0.98659958471804,0.9865814475280279,0.986570727324113,0.9865507541128073,0.9865219414239386,0.9865089844986175,0.9864875877308052,0.986478964958887,0.9864673900250768,0.9864538408015064,0.9864363128209608,0.9864193213237346,0.9863974896220278,0.986384922646466,0.9863696417117257,0.9863578607049918,0.9863407645529778,0.9863181162394492,0.9862956313570922,0.986275068724054,0.9862443822600402,0.9862283815104961,0.986202523129425,0.9861830664172209,0.9861697582819308,0.9861548650827289,0.9861307557997053,0.9861021433428996,0.9860918900169026,0.9860687054212545,0.9860567040535149,0.986044304105257,0.9860317418140112,0.9860151364176075,0.9859971405923442,0.9859793529831794,0.9859510966128276,0.9859264138335677,0.9858976595748877,0.9858756128583372,0.9858599174197269,0.9858414333827237,0.985811205527467,0.9857927335785193,0.9857786898770712,0.9857704626526145,0.9857576537924311,0.9857411829979565,0.9857310103011852,0.9857181666270209,0.9856982490719285,0.9856763524184302,0.985660447185505,0.9856495028312842,0.9856371578580094,0.9856153659087136,0.9855950759897307,0.9855806552612436,0.985555687379825,0.985542281952533,0.9855302853967309,0.9855129622017702,0.9854918587240407,0.9854502719020712,0.9854276009442648,0.9854037824650557,0.9853824560935813,0.985364841375978,0.9853465690485348,0.9853328229099324,0.9853172206666083,0.9852905121700131,0.9852800311393699,0.9852683510453811,0.9852581099662796,0.9852342571658331,0.9852045595638605,0.9851910978268645,0.9851800463823266,0.9851628427507941,0.9851380751527952,0.9851220118502466,0.9850993821455463,0.9850727969608527,0.9850613091443587,0.9850385852214201,0.9850169645113219,0.9849993218977908,0.9849878752941991,0.9849800077429364,0.984966049741413,0.9849542311281458,0.9849425306592301,0.9849149081742121,0.9849025779618152,0.9848704087801639,0.9848500426885645,0.9848429070176292,0.984828255080026,0.9848138735007297,0.9848003003748625,0.9847794219906579,0.9847470335673512,0.9847357137545508,0.9847133559110224,0.9846676963178509,0.9846575091533332,0.9846529810082671,0.9846381861659486,0.984617899060348,0.9845893601435713,0.9845748996877195,0.9845601036914526,0.9845413568885732,0.9845208102972689,0.984500600401488,0.9844714102334884,0.9844541735982291,0.984442757105179,0.9844178756571291,0.9843904161762911,0.9843605001029105,0.9843401330292387,0.9843282370990201,0.9843104000311335,0.9842901888485481,0.9842777697932386,0.9842538878151287,0.9842155962287635,0.9841969549384008,0.9841881364881538,0.984173895467982,0.9841608445550949,0.98413703421757,0.9841239412437053,0.9840983145887805,0.9840769133998197,0.9840517035855283,0.9840305371329192,0.9839904331127296,0.983970952723732,0.9839575689188516,0.983933609494138,0.9839064657257819,0.9838753495247994,0.9838496777467183,0.9838288398851356,0.9838021476753169,0.9837877556136783,0.98377010617736,0.9837581693381462,0.9837501249690845,0.9837189744871073,0.9836914578763202,0.9836790929472956,0.983668355374979,0.9836561696260526,0.9836383023632965,0.9836134893180963,0.9835894925948523,0.983571614549551,0.9835620798200533,0.9835394573931552,0.983519139208455,0.983496994749276,0.9834797049442837,0.9834721580561157,0.9834548688371876,0.9834421412422077,0.9834233472655853,0.9833964552246004,0.9833763079506537,0.9833587131102672,0.9833453674787198,0.983324431407602,0.983301849346645,0.9832821445132736,0.9832628173960267,0.9832513087871514,0.983238385299423,0.9832187558842486,0.9832032920936989,0.9831841890574403,0.9831648959075184,0.9831519398443989,0.9831404613170107,0.9831178224104774,0.9830995087048983,0.9830832808671405,0.9830579061218605,0.9830395396472593,0.9830191610925194,0.9830053287573783,0.982992299555218,0.9829679482502288,0.9829468334908573,0.9829281479893331,0.9829094102704807,0.9828937798175349,0.9828835620456744,0.9828661867070569,0.9828516248808756,0.9828357099287988,0.9828008850813136,0.982780752346729,0.9827764154382439,0.9827534146350902,0.9827351135886027,0.9827231457207739,0.9827086565229102,0.9826919863183718,0.9826797048337007,0.9826403052802013,0.9826139546067807,0.9825980756921762,0.9825910650290197,0.982583730675661,0.9825704945616001,0.9825448306166986,0.9825317439317414,0.9825213626472122,0.9825131014272556,0.9825030378503332,0.982489511846929,0.9824768920807831,0.9824636777142193,0.9824551589227095,0.9824470406627639,0.9824388453208148,0.9824219629387554,0.9824092598448066,0.9824005336965003,0.982388959667865,0.9823682472303255,0.9823476541828632,0.982336246757072,0.9823238222665088,0.9823059061703547,0.9822710165938563,0.9822497203634757,0.9822356603417732,0.982224914240448,0.9822039276187917,0.9821851323713371,0.9821773418914471,0.9821569593479111,0.9821397640814076,0.9821177834490543,0.9821092706301027,0.9820972166992177,0.9820863697491805,0.9820677303704415,0.9820486076291937,0.9820401505311884,0.982028465341462,0.9820134768006166,0.9819951381926887,0.9819807684928604,0.9819715599284915,0.9819520608182377,0.9819379655659666,0.9819211325768207,0.9819078904325445,0.9818991094517555,0.9818891625475361,0.9818776138375588,0.9818599225923179,0.9818375267061408,0.9818257139715456,0.981818100762599,0.9818015815847465,0.9817829296027196,0.9817632751161112,0.9817440603861787,0.9817184041090226,0.9817037707179606,0.9816824627154734,0.9816637045624579,0.9816511552560793,0.9816375816699777,0.9816313787124982,0.9816156342399833,0.9815945886933759,0.9815824177142458,0.981559871417263,0.9815338160315192,0.981523984425702,0.9815068112087864,0.9815029076178097,0.9814769372285559,0.9814720549655855,0.9814547263527573,0.9814392894344665,0.9814220699846645,0.9814073154603599,0.9813794416624555,0.9813520122088004,0.9813249619197746,0.9813072749398313,0.9812933684370395,0.9812553860483493,0.9812367528028642,0.9812332185384973,0.9811989749979717,0.9811723569529107,0.9811563431931751,0.981134122315104,0.9811074843884042,0.9810950396459607,0.9810741300431742,0.981063529180993,0.9810500415590695,0.9810366329453493,0.9810179948558554,0.9810112163892744,0.9810023965530483,0.980991772936044,0.9809815724951356,0.980966057701239,0.9809517640962049,0.9809325230067013,0.9809132418309384,0.9808947972396073,0.980885605931816,0.9808685795615701,0.9808597003309824,0.9808397433943715,0.9808255076493819,0.9808016612838133,0.9807778926803701,0.980761434916724,0.9807418843449123,0.9807331417358482,0.9807184635479403,0.9806942335279547,0.9806826845697859,0.9806666560914186,0.9806416177727468,0.9806307130321983,0.9806209139337984,0.9806005959213313,0.9805797552174267,0.9805571703591974,0.9805378212481318,0.9805225756226357,0.9805142040968715,0.9804997071679671,0.9804878795594155,0.9804743632699886,0.9804592224306199,0.9804460675585869,0.9804297670500441,0.980408445176224,0.9803900489655863,0.980371856462426,0.9803643304666498,0.9803466786909352,0.9803316686162531,0.9803145029134002,0.9802960615234877,0.98028447367873,0.9802718322082944,0.9802572047030792,0.9802391865385274,0.980231213021973,0.9802244495321819,0.9802045739820464,0.9801954973630721,0.9801852171455505,0.9801647104546771,0.9801443441859454,0.9801330266226461,0.9801239961819427,0.9801101863724717,0.9800949316711355,0.9800817577942947,0.9800659298810301,0.9800545708424839,0.9800420138104382,0.9800304867115284,0.9800188645059336,0.980010864259383,0.9799983556007543,0.9799806295302554,0.9799680399229427,0.9799507580988114,0.9799384136892257,0.9799294116280266,0.9799204599895275,0.9799148723770219,0.9799000487344977,0.9798874481467428,0.9798751436072255,0.9798630799362276,0.9798518740419233,0.9798378477551173,0.9798232834033844,0.9798123317211533,0.9797991514835153,0.9797930684258802,0.9797891181263341,0.9797823041364142,0.9797672051073361,0.9797570258685517,0.9797417708367393,0.9797331410899262,0.9797237583382115,0.9797015410135963,0.9796858645024322,0.9796680571036933,0.979652123433989,0.9796359552664149,0.9796216984872381,0.9795941765598996,0.97957538701985,0.9795606282713726,0.9795434222800705,0.9795242703563763,0.9795144008395273,0.9795048844752199,0.9794927547755314,0.9794793235346737,0.9794638096453365,0.9794495962023873,0.9794347041771343,0.9794261324598625,0.9794116263263857,0.979399199774974,0.9793704580301459,0.979344007145079,0.9793205824554551,0.9792944784916247,0.9792807054484445,0.9792691704599013,0.9792573293494624,0.9792355695126078,0.9792126163256587,0.9791974872464473,0.9791868728598334,0.979171215129307,0.9791556903334653,0.9791387895163054,0.9791201094951794,0.9791029197707328,0.979082112846507,0.9790589750389718,0.9790397438571555,0.9790269512669825,0.9789961126161626,0.9789676194529167,0.97895110547989,0.9789309511986165,0.9789122246170948,0.978889143568647,0.9788701601090106,0.9788555976437958,0.9788363359793868,0.9788116956987325,0.9787935639781244,0.9787653344544902,0.9787352552037993,0.9787154413324824,0.9786968461624992,0.9786824745118266,0.9786616280596048,0.9786321148607411,0.9786140625171424,0.9785985688705299,0.9785787796650225,0.9785613594636919,0.9785487844354492,0.9785316796140431,0.9785158353282846,0.9784908713871052,0.9784678718973495,0.9784423542622601,0.9784218680177682,0.9784127286007132,0.9783997871882266,0.9783878387587802,0.9783797149435756,0.9783688714120867,0.9783551832558439,0.9783346305682066,0.9783104201262018,0.9783011906097094,0.9782807015857568,0.9782429534725005,0.9782141567238356,0.9781933302196404,0.9781714838646742,0.9781569341347278,0.9781410850155554,0.9781183490509648,0.978101018249544,0.978082394748933,0.9780671922447516,0.9780443851898548,0.9780234597702147,0.9780084871384138,0.9779909834592551,0.9779704185025555,0.977935962618765,0.9779120885026454,0.9778883396973774,0.9778667254000443,0.9778465605231283,0.9778301858429004,0.9778149346300183,0.9777953003791444,0.9777801120800531,0.9777612836106119,0.9777345522461769,0.9777167835093021,0.9776979244004125,0.9776891330593559,0.9776694894185011,0.977658469528554,0.9776254365173995,0.9776058947258681,0.9775871796283908,0.9775725488751059,0.9775451531703558,0.9775176618600043,0.9774996524722108,0.9774821269343643,0.9774683024789187,0.977449896097192,0.9774292014146575,0.9774152168601428,0.9774030246016143,0.9773863213377713,0.9773657593490872,0.9773512397544446,0.9773370908424808,0.9773140813883487,0.9772877741095678,0.9772570983001334,0.9772404814085804,0.9772225545992854,0.9772070658186041,0.9771999298092868,0.977190584930115,0.9771780335377257,0.9771702448077518,0.9771523049788979,0.977135363719539,0.9770926080425736,0.9770709970639019,0.9770523346539401,0.9770349626860937,0.9770120974039502,0.9769958342242573,0.9769800287065318,0.9769584889069733,0.9769404550644063,0.976925509786075,0.9769121647268282,0.9768926708179906,0.976871725319036,0.9768503685485688,0.9768352156802037,0.9768178429441039,0.9767906034684855,0.9767703157180354,0.9767540193934945,0.9767343479931729,0.97671761174001,0.9767013894634327,0.976671923836308,0.9766435100920305,0.9766149685719103,0.9765808437580732,0.9765617572026966,0.9765414270231394,0.976519706512448,0.9765015088469963,0.976475494047103,0.9764314513486629,0.9764165929142449,0.9764051294507993,0.9763828739007049,0.9763719444563591,0.9763579684607315,0.9763164997894829,0.9763050230707453,0.9762802347569419,0.9762511625910855,0.9762101206812541,0.9761810042612337,0.9761378787483119,0.9761048463163776,0.9760781267332552,0.9760594737892593,0.9760423484445799,0.9760254025023413,0.9759951820428725,0.9759565119908453,0.9759381764451385,0.9759173682178188,0.9758818101660856,0.9758562375922126,0.9758187434948359,0.9757847411619027,0.9757626407085356,0.9757415321171818,0.9757261758767484,0.9757161708227279,0.9756965141186149,0.9756648675212511,0.9756365954000472,0.9756164641307421,0.9755924101491034,0.9755719966054045,0.9755420427018155,0.9754852482283936,0.9754502568528716,0.975433745319408,0.9754132496311446,0.9753994850014941,0.9753873471896723,0.9753652990144355,0.9753508444866019,0.9753157079119255,0.9752919933299228,0.975268827567555,0.9752462969220974,0.9752274657900077,0.9752026159042719,0.9751681886814949,0.9751550347292202,0.9751440384056026,0.9751118350772395,0.9750957284217792,0.9750830876353589,0.9750659164477793,0.9750470752798018,0.9750279071794026,0.9750080591202668,0.9749773658483245,0.974946433370802,0.9749210123768148,0.9749019086068487,0.9748854399338247,0.9748711310192029,0.9748519247564014,0.9748350537880206,0.9748203957396486,0.9747959071567085,0.9747659784661444,0.9747486574256157,0.9747332521752095,0.9747097202797164,0.97467900440532,0.974650822776947,0.9746240689248259,0.9746025669714455,0.9745754394838697,0.9745517023904962,0.9745294776500694,0.9745188678066135,0.974498511783906,0.9744713617182439,0.9744380048867212,0.9744259960509899,0.974408003876692,0.974384071706137,0.9743590182155915,0.9743360754061772,0.9743088432851383,0.9742841567360905,0.9742676756183144,0.9742415373029183,0.9742182841571696,0.9741988317735923,0.9741809542068123,0.9741634415907843,0.9741344718710969,0.9741096298921976,0.9740855106474475,0.974063733442088,0.9740500324830428,0.97403660860364,0.9740192883616825,0.9740019053736824,0.9739698162442458,0.973937342871952,0.9739168729582031,0.9739012581742004,0.9738826118806825,0.9738589247380454,0.9738345697222406,0.9738225895657545,0.9738031794637638,0.9737768873458901,0.9737560948630064,0.9737431444479177,0.9737198934838395,0.9736960417610891,0.9736654833367655,0.9736400134792438,0.973615758127283,0.9735918198444713,0.9735660231045367,0.9735485357561366,0.9735240599395497,0.973504764099066,0.9734910798832763,0.9734504475323267,0.9734341160325433,0.973412090928535,0.9733866630314365,0.9733637327027653,0.9733167097965243,0.9732857494190909,0.9732720684214522,0.9732452626335837,0.9732231415765931,0.9732006884041653,0.9731695392380624,0.9731445943470439,0.973125734375984,0.9730953939851623,0.9730556480476036,0.9730306204745582,0.9730058548957681,0.9729828719166331,0.9729706122528726,0.9729513819444269,0.9729221847555316,0.9728949555507489,0.9728675194870005,0.9728395779927024,0.9728142846603308,0.9727975371786857,0.97276864203971,0.972749320362606,0.9727164231143649,0.9726850275530476,0.9726530251462986,0.9726229934639652,0.972604315604132,0.9725858596780881,0.9725621873611148,0.9725347654447327,0.9725065951069167,0.9724839472665827,0.972472509906653,0.9724450002141227,0.972414493644912,0.9723912176924001,0.9723647536197233,0.9723452861446013,0.9723282081470419,0.9722995418909871,0.9722797100408631,0.9722549483616287,0.972222482094433,0.9722015026228603,0.9721677431966309,0.9721498535530616,0.9721215099532452,0.972085206098861,0.9720644236068212,0.972041169443036,0.9720157873521891,0.9719892589119925,0.9719734917444457,0.9719592615892175,0.9719382165287977,0.9719100105021805,0.9718880843631377,0.9718674861184422,0.9718500311117984,0.9718261173375928,0.971799133602351,0.9717783570538264,0.9717638073003554,0.9717483467851886,0.9717346883874597,0.9717193660525079,0.9716939402877961,0.9716735329503863,0.971652989917752,0.9716246219511103,0.9716103285634438,0.9715971748493086,0.9715833025511222,0.9715584204699934,0.9715311852973707,0.9715051185367031,0.9714823780529853,0.9714486673253901,0.9714286064292978,0.9714057603071049,0.9713785120580902,0.9713493375165247,0.9713052089115433,0.9712704199980504,0.971255664625555,0.9712436302609957,0.9712208330971641,0.9711986666392799,0.9711624486104746,0.9711304554516202,0.9711082480766295,0.9710849417780116,0.9710550489724483,0.971040582681941,0.9710203614678707,0.9709987354163425,0.9709754509207962,0.9709494356300383,0.9709313928478168,0.9709071726310585,0.9708826748828709,0.9708511623208176,0.9708169336101097,0.9707843794096576,0.9707579644745643,0.970737494551791,0.9707141670869834,0.9706852585292893,0.9706594132006674,0.97063800175431,0.9706056302493417,0.9705808997702761,0.9705577771551375,0.9705364916063488,0.9705171107727977,0.9704857156611506,0.9704538979876782,0.9704245780387677,0.9703906659332069,0.970364661371313,0.970345863842848,0.9703291828482414,0.9703156519084081,0.9702917143807275,0.9702617005878064,0.9702149415995325,0.9701761809629591,0.9701484027236926,0.9701230280114859,0.970094390072022,0.9700629762112671,0.9700180721662135,0.9699821706837323,0.9699573651186671,0.9699271127824757,0.9699006676325056,0.9698701740440445,0.96984363305087,0.9698149099906352,0.9697786604190877,0.9697556677203036,0.969728238875932,0.9697004296259706,0.9696773200926734,0.9696514023773144,0.9696353301962964,0.9696200829771866,0.9696004051989678,0.9695700247118428,0.9695384317468259,0.9695121935037226,0.9694756016300403,0.9694399279325226,0.9694092100133458,0.9693693208607911,0.9693436643091052,0.9693162268435533,0.9692868011656288,0.9692581882379964,0.9692299061783312,0.9692024130853505,0.9691761922465776,0.9691479988039436,0.9691073846504188,0.9690934294276772,0.9690619313863469,0.9690433866117854,0.9690233214664231,0.9689966418108954,0.9689740405174342,0.9689307623913438,0.9688961250376977,0.9688718983325533,0.9688502063169169,0.9688266465883271,0.9688014460404322,0.9687675133627787,0.9687408563695721,0.96870952827953,0.9686799249739105,0.9686520209781002,0.9686199790666639,0.9685822900671601,0.9685585566228668,0.9685314276837469,0.9685027675234936,0.9684722095816852,0.9684349932944127,0.9684075575320572,0.9683856041220222,0.9683603130311494,0.9683316662321376,0.9683151214937762,0.9682905436108074,0.968267429311271,0.9682321033788053,0.9682038794012411,0.9681738909103179,0.9681497828108192,0.9681216129002483,0.968094387716363,0.9680725983812795,0.9680449268266857,0.9680230277470443,0.9680038234431407,0.9679812598718176,0.9679325845605049,0.9679022301262448,0.96787822776083,0.967843584164205,0.9678061815223864,0.967783957335325,0.9677533298347591,0.967730075104006,0.9677043306873172,0.9676703372198983,0.9676510212071274,0.9676266813096923,0.9675979799791847,0.9675849533862749,0.9675587626877795,0.967533225311607,0.9675096280439102,0.9674533273514883,0.9674303008372465,0.9674089203912719,0.967387030163217,0.9673651579818011,0.9673434322697081,0.9673237882522041,0.9673021631067444,0.9672785477028227,0.9672544387752502,0.9672297989457992,0.9672040865284781,0.9671865488590139,0.9671587508073164,0.9671360766389472,0.967111702669329,0.9670806459313155,0.9670332548363088,0.9669976916817546,0.9669789073629075,0.9669594195899589,0.9669298832636626,0.966903217704669,0.9668750442488327,0.9668493687434812,0.9668275597552495,0.966796007916971,0.9667610382210543,0.9667352366385131,0.9667047767500975,0.9666795247375182,0.9666630389185867,0.9666393572839614,0.9666052845894079,0.9665756508091401,0.9665361982646984,0.9664983208704045,0.9664707099121836,0.9664469073336674,0.9664266337278404,0.9663943713107996,0.9663649570237012,0.9663439132479075,0.9663014525242004,0.9662680489795286,0.9662397706093628,0.9662205528631109,0.9661708032557059,0.9661373716025914,0.966108390526391,0.966084159226214,0.9660582307182459,0.9660289382853692,0.9660103956721479,0.9659797419266328,0.9659384388060606,0.9659185291502308,0.9658820004414927,0.9658400739922293,0.9658089118041902,0.9657781922731445,0.965749067102899,0.9657253945590574,0.9656954029715906,0.9656730872804087,0.9656599059798757,0.9656451213127168,0.9656102014693784,0.9655772209445459,0.9655461914724854,0.9655203185538743,0.965490126654816,0.9654456898565378,0.9654004334687005,0.9653713734330905,0.9653420589069456,0.965317418632916,0.9652881688938848,0.9652681547140347,0.9652180843837743,0.9651941389946743,0.9651467129082698,0.9651101758395103,0.9650699660833328,0.9650390368549274,0.9650095114267787,0.9649742511129176,0.9649269560498712,0.9648801869093431,0.964833800244846,0.9648064140594289,0.9647790076009644,0.9647399156421825,0.9647130416557241,0.9646898917096371,0.9646612884041605,0.9646380634453305,0.9646165530522197,0.9645944681252757,0.9645679560194252,0.9645329979736105,0.9645008786401342,0.9644744999643083,0.9644399161304055,0.964414305572943,0.9643907792162465,0.9643650411769368,0.9643257575622859,0.964296579949277,0.9642693900034893,0.9642364486891881,0.9642079027481727,0.9641799819524277,0.9641545818886135,0.9641293225800056,0.9640976557396841,0.9640516554106917,0.9639976870560136,0.9639506985036808,0.9639153158093514,0.963894521660238,0.9638582933223936,0.9638163443470535,0.9637798113562484,0.9637416717368598,0.9636963223990906,0.9636661335990808,0.9636280733037097,0.9636038338532669,0.9635810354481045,0.9635513567477236,0.9635092330400128,0.9634753031065632,0.9634420557300223,0.9634129548863218,0.9633870539643625,0.9633574675326136,0.96332949421517,0.9633113564855359,0.9632957263811578,0.9632718248654748,0.9632364606674861,0.9632028848730669,0.9631784826551137,0.9631577431483974,0.9631191635929962,0.9630905379690646,0.9630498242922347,0.963013892478178,0.9629831587704987,0.9629579926029329,0.9629254995799761,0.9628927509265739,0.962863630553808,0.9628259009660671,0.9627724923709979,0.9627366349376292,0.9627113438662156,0.9626794282180049,0.9626441488504343,0.9626111814219359,0.9625697492061531,0.9625334009677119,0.9624974769748607,0.962454854084422,0.9624231403857149,0.9623819199089323,0.9623583295457467,0.9623314815998463,0.9622914790912072,0.9622509304658782,0.9622192732959948,0.9621729104286473,0.9621426630318113,0.9621116894467668,0.9620704029767332,0.9620485952181121,0.9620158190079882,0.961974054492233,0.9619320330448042,0.9618909411001197,0.961847329917127,0.9617945506404544,0.9617703891427662,0.9617246969389891,0.9616882051208574,0.961645714716852,0.9616139004800259,0.9615804460108504,0.9615470292717874,0.9614934970209764,0.9614514662752485,0.9614120289144584,0.9613752002349865,0.9613442382552797,0.961306074112187,0.9612715546577455,0.9612394507476574,0.961212371424657,0.961168550333072,0.9611196823683361,0.9610752286942317,0.9610262442373299,0.9609925082490304,0.9609442532858417,0.9608990558541282,0.960843300495559,0.9608155822262785,0.9607709914316065,0.9607237517164287,0.9606768350715436,0.9606530431321575,0.9606247240100328,0.9606000232045996,0.9605576466076741,0.9605280199045905,0.9604842613117514,0.9604326506466419,0.9604059951732375,0.9603621946649752,0.9603155454365153,0.9602718774856573,0.9602177832241676,0.9601785900670429,0.9601439688777249,0.9600956093660513,0.9600459211339984,0.9600034462429761,0.9599714933093788,0.9599390429389887,0.9598980785509974,0.9598570461471039,0.959825213077997,0.9597846067816305,0.9597397705122102,0.9596956172288036,0.9596567341611606,0.9596142634790176,0.9595556849600284,0.9595102831858737,0.9594745628578871,0.9594279648125745,0.9593837492677058,0.9593478958993871,0.9593131422674741,0.9592692996243698,0.9592288991133463,0.9591938633963453,0.9591601015494724,0.9591201081815619,0.9590941408325007,0.9590625198817997,0.9590199859873164,0.9589686194639996,0.9589246995326572,0.9588705781377309,0.9588285478845968,0.9587918623370735,0.9587615076360843,0.9587149095426235,0.958669429327299,0.9586134819407788,0.9585631744112124,0.9585222821490347,0.9584676176724221,0.9584219445373866,0.9583691097705702,0.9583141286409683,0.9582601467908878,0.9582180020656521,0.9581953601482475,0.9581545707843493,0.9581016309474959,0.958048177397919,0.9580063030973056,0.95796738397862,0.9579251530995994,0.9578798934870327,0.9578303925099728,0.9577864089342455,0.9577295881970485,0.9576963721942425,0.957663845420409,0.957614993894498,0.957573387215946,0.9575357662752575,0.9574829943881442,0.9574430676634478,0.9573977635859167,0.9573547581877788,0.9573049239884034,0.9572468687340356,0.9571981781786112,0.9571549079531286,0.9571111156965846,0.9570857670968362,0.9570447982126491,0.9570144217544851,0.9569824101147422,0.9569538666992368,0.9568920905854186,0.9568504235422641,0.956802656075679,0.9567453187282567,0.956689792537269,0.9566050393365055,0.9565530328404721,0.9565113513906818,0.9564438679563486,0.9563980004838889,0.9563593342525076,0.9563213430714498,0.9562742271567279,0.9562367224435369,0.9561874346533557,0.9561222943290163,0.9560661850144342,0.9560148173643865,0.9559639308968793,0.9559238226955885,0.9558715827582808,0.955828428696154,0.9557845613581273,0.955736870679051,0.955701908304701,0.9556637942837135,0.9555942233926145,0.9555301629139329,0.9554839959612986,0.9554355626605704,0.9553870349155518,0.9553388320388083,0.9552821314676079,0.9552295375005939,0.9551779599000496,0.9551161256105598,0.9550633148843977,0.9550171578924127,0.95496663032772,0.9549187537050765,0.9548739046867236,0.9548262634326545,0.9547535342642457,0.9546782648878211,0.9546191792135272,0.9545604420560564,0.9545138685640178,0.9544626986126432,0.9544089421101924,0.9543514459327428,0.9543049496225564,0.954255653648323,0.9542007320634948,0.9541421896051359,0.9540822837117284,0.95403907604909,0.9539932435504442,0.9539530986052674,0.9539069974845187,0.9538499997410032,0.9538009873049462,0.9537536686951799,0.9537126269914189,0.9536699496425218,0.9536267886822685,0.9535679786262024,0.9535261819887908,0.9534780157337251,0.9534339077798684,0.953387912575405,0.953334602435024,0.9532621264146077,0.9532051196413767,0.9531622546125802,0.9530889790932137,0.953033739742051,0.9529753975994797,0.9529299707713574,0.9528742822707096,0.9528210852419052,0.9527559403594648,0.9526987208548381,0.9526519480372638,0.9526061213448768,0.9525635005558922,0.9524997826023673,0.952462853264304,0.9523980306165587,0.9523521352516955,0.9523075776946951,0.9522600678168803,0.952201225728881,0.9521377209967448,0.952087612856437,0.9520324240092627,0.951978831342176,0.9519280819427458,0.9518790712835772,0.9518196499426368,0.951761188486062,0.9516948784415152,0.9516567043697199,0.9516094513401686,0.951553688170417,0.9515038354789446,0.9514454024750452,0.9513936063126174,0.9513459695724693,0.951296296231483,0.9512383870681627,0.9511991403980089,0.9511563017611524,0.9511046042988724,0.9510334448423077,0.9509805250107892,0.9509316049821732,0.9508843365513915,0.950832872485057,0.9507652404541354,0.950708207005051,0.9506408803147929,0.9505968721667353,0.9505341079715095,0.9504989282395775,0.9504528023838859,0.9503864355399132,0.950343909183694,0.9503005025475106,0.9502441381937217,0.9501859610384347,0.9501398049053338,0.9500962219607234,0.950046110628854,0.9499964817982813,0.9499447259313447,0.9498743701280068,0.9498152485008575,0.9497669802241677,0.9497128860996038,0.9496604921333028,0.949596773800176,0.9495428562129606,0.9494904080249835,0.9494336674552295,0.9493802838451502,0.9493205018941893,0.9492794053117795,0.9492433883057079,0.9491904891082672,0.9491419650700543,0.9490912752836895,0.949044136175388,0.948998182513519,0.9489633615775994,0.9489335149919584,0.948876332984014,0.948825669877844,0.9487728271886602,0.9487051823837319,0.9486370075817436,0.9485871605464071,0.9485288079682053,0.9484690596642091,0.9484142391285566,0.9483684118299733,0.9483209807642743,0.9482682951178647,0.9482184154322422,0.9481577640957342,0.9481163332952458,0.9480628028335769,0.9479988707137825,0.9479505996791695,0.9478992136227826,0.9478473794070135,0.9477848121059252,0.9477305777145619,0.9476633591343471,0.9475790047196245,0.9475315075903674,0.9474864621488495,0.9474231812885672,0.947352373804456,0.9472738394070337,0.9472056700425027,0.9471436243951392,0.9470740615959756,0.9470262757886494,0.9469854093650993,0.946938544809121,0.9468905827728731,0.9468128160188554,0.9467338860845449,0.9466899564051304,0.9466386096439368,0.9465879348658912,0.9465380429506852,0.9464688428266409,0.9463964626935939,0.9463210826551833,0.9462708237643078,0.9462263298388405,0.9461736957650784,0.9460899876908788,0.9460188141058827,0.9459415356333579,0.9458686196281528,0.9457907150621228,0.9457227768332204,0.9456544742794755,0.9455955434447523,0.9455444213268904,0.9454840269182603,0.9454214404323263,0.9453480805547381,0.9453038714482261,0.9452250859321563,0.9451330903418816,0.945080504051481,0.9450262575039612,0.9449530229490486,0.9448577880572032,0.9447747406922193,0.9447068645118297,0.9446198940213356,0.9445688150659524,0.9445121926813684,0.944405775610043,0.9443312497164176,0.9442461419996216,0.944179727324481,0.9441147301095993,0.9440477554100417,0.9439791953628811,0.9438973900931134,0.9438226092793014,0.9437284356141831,0.9436417397073835,0.9435688424093351,0.9435027974522139,0.9434315194957335,0.9433476855820054,0.9432650675731231,0.9431993603760438,0.943139566463679,0.9430858003812415,0.9430311148177097,0.9429741343478478,0.942904171920402,0.9428386906892393,0.9427724340302854,0.942703065223764,0.9426397909817475,0.942575476432786,0.9424969935675709,0.9424142006406884,0.9423282103627737,0.9422382342935902,0.9421603629363644,0.942093959901313,0.9420381994558005,0.9419762884808927,0.941900658201005,0.9418101088643401,0.9417231130850383,0.9416648680513077,0.9416084382354256,0.9415464336784161,0.9414635088865377,0.9413987858670337,0.9413417075834993,0.9412840554784633,0.9412244140290464,0.9411618116239062,0.9411044138206881,0.9410318948299781,0.9409667245438642,0.9408927046472939,0.9407978278169143,0.9407045794009945,0.9406472295401266,0.9405757924995605,0.9405003314996911,0.9404212821495916,0.9403502872426133,0.9402934691669678,0.9402081581559629,0.9401300756312484,0.9400741408089185,0.9399935540593681,0.9399334790821274,0.9398721039201616,0.939782659669699,0.939718389245269,0.9396580994081527,0.9396016950219925,0.9395309805363913,0.9394412418101279,0.9393803394017811,0.939300061460703,0.9392384530914414,0.9391728361991143,0.9390933263485297,0.9390099406273392,0.9389408162909423,0.9388710269974576,0.938810847960752,0.9387180916875207,0.9386488376247416,0.9385749417917164,0.938487408698583,0.938394175007476,0.9382861562902661,0.9382208186348318,0.9381288423452887,0.9380673234836776,0.9380012545279602,0.9379291528805422,0.9378647124236137,0.9378012178639563,0.9377066078470719,0.9376256342352818,0.9375525409556134,0.9374760819691388,0.9374025579255135,0.9373218818554867,0.937229222164711,0.9371340398855494,0.9370580810384754,0.9369930366922263,0.936930417613026,0.9368595569747926,0.9367717494500258,0.9366941611634628,0.9366314975644268,0.9365684248355876,0.9365117697983087,0.9364478179578317,0.9363638536263231,0.9362706818558152,0.9361813450115056,0.9360953699272677,0.9360051945426522,0.9359168070915667,0.9358441215310724,0.9357699016872059,0.9356768935517423,0.9356092484246121,0.9355557000041304,0.9354934643728361,0.9354085846766405,0.9353226698837098,0.9352449741491292,0.9351739720034085,0.9350927224470961,0.935004263978357,0.9348928381317068,0.9348073595850317,0.9347257402695881,0.9346431579097916,0.9345608459487291,0.9344733492362844,0.9343794372623526,0.9342550852276401,0.9341224162825741,0.9340015564547195,0.9338898456956026,0.9338041250156243,0.9337082204948621,0.933624053195635,0.9335143475642942,0.9333989599159127,0.9333063016893951,0.9332343015946027,0.9331462205751097,0.9330584626075173,0.9329724253243887,0.9328734948784739,0.9327921611675652,0.9327169094607994,0.9326294096261674,0.9325261515513822,0.9324281138995194,0.9323436023606532,0.9322659556663271,0.9321894976994745,0.9320688679035432,0.9319773841328538,0.9318811293733377,0.9317798512162436,0.9316780987331447,0.9315801016740997,0.9315041333276268,0.9314395237375985,0.9313479954216848,0.9312405675900571,0.931139278719836,0.9310195140219589,0.9308907299838495,0.9307825709493667,0.9307024959450073,0.9305972276112797,0.9305024247056328,0.9304084403726822,0.9303323793977123,0.9302415541756828,0.9301526835906909,0.9300692353656304,0.9299867977095413,0.9299068346512729,0.9298063811633994,0.929670237510883,0.9295659972701898,0.9294914449233671,0.9293832261324285,0.9292935159349427,0.9291935459956019,0.9290784206939804,0.9289732416990372,0.9288593633218635,0.9287347679511234,0.9286480474561485,0.928544909719476,0.9284488315309123,0.928352791204816,0.9282524518478468,0.9281552668416007,0.9280435317939217,0.9279267483228099,0.9278018599981233,0.9276894149029151,0.9275970141578007,0.9274907490344775,0.9273885213641033,0.9272849161824535,0.9271801416866472,0.9270826576676277,0.9269683798040098,0.9268601768474146,0.926777046009954,0.9266634270911145,0.9265663948389686,0.9264562206126945,0.9263601221125595,0.9262603527589734,0.92616142361586,0.9260684125971778,0.9259791070577977,0.9259033389623845,0.9258252160079687,0.9257097844005393,0.9255927440268039,0.9254946843957836,0.9254024522696803,0.9252949768382454,0.9251870628870393,0.925079543195005,0.9249842788287441,0.9248974318430451,0.9248054927083789,0.9246872922617599,0.9246004370193577,0.9245181043246053,0.9243839637518765,0.9242583191518183,0.9241567731233136,0.9240455092817748,0.9239249428135744,0.9238008083288596,0.9236712953700256,0.9235915727741795,0.9234947605047894,0.9233683638366997,0.9232444145375267,0.9231425023823602,0.9230341223166346,0.9229278960738339,0.9228407896109606,0.9227365217152891,0.9226183818349161,0.9224901056584922,0.9223987000571745,0.922303566201967,0.9222042438530192,0.9220916504388216,0.9219644311262156,0.921841056397545,0.9216843289297311,0.9215380966690594,0.9214454552674511,0.9213373221777477,0.9212585388896052,0.9211581643239439,0.9210396078603047,0.9208948538396863,0.9207996315828073,0.920713374609645,0.9205973627003043,0.9204818691810605,0.9203661591686992,0.9202457710437157,0.9201261583031465,0.9200152279792875,0.9199018772027368,0.9197974176113817,0.9196691828076575,0.9195512502598302,0.9194224031130386,0.9193025346805888,0.9191781581806576,0.9190849014153848,0.91899409392232,0.918875265120453,0.9187399861627545,0.9186310719212135,0.9184982764643669,0.9183889948872803,0.9182938462496197,0.9181740287298474,0.9180815623688794,0.9179794476693273,0.9178715435554177,0.9177474251135269,0.9176217136844499,0.9175127297031336,0.917388842397408,0.9172444506885994,0.9171259069263203,0.9170180617586596,0.9168920529674501,0.9167681503511693,0.9166190316569665,0.9164755088538092,0.9163713411287702,0.916257316124026,0.9161382351536322,0.9160191641213378,0.9158804582256673,0.9157434134119149,0.9156127697151832,0.9154542147858282,0.9153121181643427,0.9151654975676855,0.9150322631177895,0.9149314915526126,0.9148347386649474,0.9146869397973368,0.9145428933228552,0.9143846387927819,0.9142542392537238,0.9141711918292135,0.9140810795788605,0.9139731321646694,0.9138278711371656,0.9136843950844002,0.9135701518241452,0.9134580415411571,0.9133378828351155,0.9132025751600985,0.9130785483811341,0.9128954877388106,0.9127769430194932,0.9126250676751528,0.9124964239613219,0.9123327262525284,0.9121890506951316,0.9120548589778464,0.9118997927475108,0.9117800254687967,0.9116576443421784,0.9115405882767961,0.911393508935864,0.9112333184792473,0.911066632551126,0.9109003741768124,0.9107615339065946,0.9106229364850114,0.910479772059707,0.9103209944394228,0.9101518858424457,0.909997287509809,0.9098437357107112,0.9096884825939372,0.9095638446580789,0.9094400712185071,0.9092935205385586,0.9091552070801427,0.9090221811945938,0.9088925035621686,0.9087822768452409,0.9086694419373578,0.9085403218531476,0.908410377252179,0.9082582896877336,0.9080978303483697,0.9079493751191209,0.907810148239117,0.907662838436681,0.9074988970201402,0.9073031012694107,0.907106249534512,0.9069696591267895,0.9068108028767221,0.906634971224791,0.9065019857937773,0.9063807613644809,0.9062479119910325,0.9061029755821768,0.9059611009660982,0.9058207027344771,0.9056490852198833,0.9055062595059808,0.9053483395567379,0.9052021055864323,0.9051099551562314,0.9049577896136471,0.904817752539902,0.9046682574781272,0.9045134379637378,0.9043697248744049,0.9042186770597731,0.9040618559153731,0.9039335502103416,0.9037742810929181,0.9036239412289717,0.9034546414971595,0.9033165499713993,0.9031544030869784,0.9030189753406883,0.9028835138640978,0.9027321039686564,0.902603814214445,0.9024447704632234,0.9023084618499463,0.902162398487791,0.9019989761560172,0.9018356339476381,0.9016863832646087,0.901535363604256,0.9013701291806662,0.9011967356711454,0.9010636107958709,0.9009184316951373,0.9007682866396839,0.9006080057721692,0.9004591206206363,0.9002892332468924,0.9001092375865056,0.8999228213870872,0.8997093186307845,0.8995141974197143,0.8993422598008358,0.8991414003672362,0.8989915448081536,0.898823395194249,0.8986298361106526,0.8984545575984504,0.8983013083416864,0.8981377342747434,0.8979797152203818,0.8977928830241121,0.8975898932267674,0.8974144389655337,0.8972134734332596,0.8970276672769233,0.8968342241661489,0.8966173135153792,0.8964117380800054,0.8962455078832381,0.896053592980003,0.8958556936747631,0.895633350470225,0.8954600969326127,0.8953039691238678,0.8950914683087525,0.8949133345937437,0.8947230625432634,0.8945259275111971,0.8943576559537725,0.8941618978503356,0.8939368837224068,0.8937149676862439,0.8934947785214549,0.893305960449345,0.8931772512228396,0.892997827134898,0.8928090090537011,0.892603951506246,0.8924413075196768,0.8922387250606556,0.8920513762118134,0.8918890661726802,0.8917141556053461,0.8915345261223006,0.8913328809448031,0.8910914888105874,0.8908672968806148,0.8906875666097823,0.8905097070903205,0.8903317411699297,0.890142835345197,0.8899403142940048,0.8897280706558713,0.8895515937517714,0.8893537084251766,0.8891652787983422,0.8889560255794857,0.8887623529358907,0.8885346318764844,0.8883233673072533,0.8881005452060138,0.8879133158565055,0.8877468279452181,0.8875644317381836,0.8873568001806026,0.88711721932158,0.8868845849985951,0.886670655624541,0.8864184952201676,0.8861959433053233,0.8859962160631976,0.8857803240675799,0.8855636050349154,0.8853469869872519,0.8850889301097387,0.8848445114815235,0.8846335106867224,0.8844155255632997,0.8841906365056661,0.8839507016288197,0.8837363899985333,0.8835452460492661,0.8833544831882308,0.8831511171384681,0.8829247039939052,0.8827252275247279,0.8824916283298183,0.8822791698981609,0.8820263718367455,0.8818384225130864,0.8816277805721795,0.8814166224800457,0.8812455364891847,0.8810344094420385,0.8808330819052846,0.8805690630169916,0.8802955598499843,0.8800537100902387,0.879844434277729,0.879640214882999,0.8794178117314997,0.8792212647800437,0.8789799564922758,0.8787033254183252,0.8784054922191167,0.8781463733617492,0.8778788667368823,0.8776470207430381,0.8774359113163726,0.8772059923421853,0.8770214144008505,0.8768228541313355,0.8765718938500928,0.8763249408789107,0.8760923605937925,0.8758706660104729,0.8755920733067002,0.8753903922528752,0.8751325850046243,0.8749125410564238,0.8746639892881952,0.8744142832006403,0.8741772370981558,0.8739483521592831,0.8737107983405434,0.8734636218732255,0.8732154076671224,0.8729179834187555,0.8725830882362795,0.8723061219194368,0.8720479604971156,0.8718378068479545,0.8716234969044155,0.8714084604545618,0.8711020752381552,0.870818816435054,0.8705159423821873,0.870209341436415,0.8698979031208914,0.8695891796131161,0.8693600506305348,0.8691730081690221,0.8689729976259999,0.8687343537758798,0.8684695201240447,0.8681748157096262,0.8678908659856162,0.8676325412177728,0.8673597133659601,0.8671681899652772,0.8669462840457685,0.8666865531305148,0.8664228770679658,0.8661266897136648,0.8658509195780406,0.8655363353132914,0.8652649494267637,0.8650121992505382,0.864708496970312,0.8643888304600154,0.8640921377196846,0.8637939644075978,0.8634993640651669,0.8632188516682727,0.8629966517354095,0.86273521810621,0.8624050053245613,0.8620987975605083,0.8617863377521764,0.8614952125587751,0.8612006957501741,0.8609538329716167,0.860676779520076,0.8603860150082779,0.8601097506393844,0.8597797536104429,0.8594334814511772,0.8591227039961374,0.8587829469735331,0.8584453885149492,0.8581863556676874,0.857880388163272,0.857597358848739,0.8573115860881411,0.857014802616034,0.8567174466919634,0.8564020585539189,0.8560937014276826,0.8557364415106254,0.8554290308237601,0.8551319838970913,0.854805845715606,0.8545120543023426,0.8541905853074225,0.8538818550144818,0.8535786190528534,0.853247695842104,0.8528908162276465,0.8526135637263278,0.8523008709163666,0.8519870503559938,0.8517000023326344,0.8514031523662853,0.8511234872615809,0.8507736191978744,0.850402318556098,0.8501061266954832,0.8497849600887557,0.8494514190935712,0.8491122623871421,0.8488541158529799,0.8485659083507444,0.8482500142087825,0.8478605941518264,0.8474931524447378,0.8471266375213387,0.8467877703146449,0.8463932322064229,0.8460076775588287,0.8456674433040916,0.8453163051142669,0.844914115749936,0.8445202774864706,0.8441358959767677,0.8437779933650351,0.8434465352236191,0.8430239191343157,0.8426412651633157,0.8422335242589605,0.8417904286186395,0.8414712712931847,0.8410775259028468,0.8407158608362586,0.8403137791827131,0.8399035425010053,0.839507395211911,0.8390855530189076,0.8386702841461894,0.8384165699708306,0.8380654412681474,0.8376996763270483,0.8373674577363468,0.8369728506830905,0.8366046454395784,0.836209360762848,0.8358589627842363,0.8355050438127691,0.8351246229269769,0.8347385885159349,0.8343267073611385,0.8339444421683719,0.8335408840219459,0.833088927650603,0.8326377671104557,0.8322265199417819,0.8318149256234999,0.8313218198935783,0.8308692385597106,0.8304622265184429,0.830012747334135,0.8295105289241238,0.8290661678651606,0.8286877954436864,0.8282524053478089,0.8277898810518487,0.8273549144772556,0.8269669426020694,0.8265479508610623,0.8261773340515189,0.8259007819242086,0.8254812488775142,0.8250421119887447,0.8246638191394914,0.8242492199055618,0.8238209339172142,0.8234272877541908,0.8230247475944628,0.8225911069475215,0.8221837595411576,0.8217576503146067,0.8213255432354621,0.8209178489916011,0.8204460336146999,0.8199958614438028,0.8195318343366298,0.8190556298493253,0.8186338171496665,0.8181986989055017,0.8177008786901137,0.8171815411476606,0.8167457235719481,0.8162931192861338,0.8158611848533805,0.8154087633415104,0.8149806181662351,0.8144725538174797,0.814065168219253,0.8135594981714191,0.8130254228030079,0.8125224533192397,0.8120147662734845,0.8115630752844922,0.8110842233521731,0.8106203610008984,0.8101566236304925,0.8096844127858259,0.8091963266427065,0.8087326375047654,0.8081987779491648,0.8076989492869853,0.8073122796902734,0.8068526780371317,0.8063270415055965,0.8058316354656586,0.8053307974843609,0.8047621905967222,0.804362473971301,0.803915153543544,0.8034075562462879,0.8028824089966213,0.8024259591308635,0.8019835099668928,0.8014779862920826,0.8009663000343117,0.8004806253335472,0.8000202725789534,0.7994622447728286,0.7989624973250209,0.7984091113419974,0.7978286474930468,0.7973499872352295,0.7967638115096587,0.7962536628657838,0.7956579882739439,0.7951577820866134,0.7946365946570801,0.7940635737171045,0.79355829908759,0.793040095880045,0.7924511528130298,0.7919043678141675,0.7913595287022356,0.7907928795709385,0.790212550082931,0.7897041658654576,0.7891834816008831,0.7886691797859211,0.7881595729228783,0.7875957919313529,0.787033127247597,0.786499782493215,0.785977405096028,0.7853711954537208,0.7848295387188517,0.7842831035150034,0.7837312622425195,0.783201293112622,0.7824931676128312,0.7818467621658123,0.7812584917907957,0.7806432155209077,0.7799930023368297,0.7792469861150095,0.7785437450026877,0.7778790768768562,0.7771869480922856,0.7765084973179748,0.7759846374633536,0.775161548985739,0.7744173058983075,0.7736629909876978,0.7728903529061205,0.7721682222724958,0.7715065503832246,0.7708589151023488,0.7701858768168843,0.7694550840048949,0.7687588304731019,0.7681179060766757,0.7674581744377647,0.7669192073726009,0.766363879649983,0.7657106235574587,0.7650891820980532,0.7643484673726408,0.7636178701125889,0.7629191895070875,0.7623715273066767,0.7617045225439574,0.7609799527816777,0.7603391434744489,0.7597536087086462,0.7590735498298553,0.7584413486075707,0.7577476823276028,0.7570685707585555,0.7563581838476743,0.7557005790694198,0.7549252411012726,0.7541105261044379,0.753339864711181,0.7525112720972509,0.751778899053944,0.7510328646034996,0.7503237324108464,0.7496257506248354,0.7488911185803484,0.748145186110551,0.7474626489859446,0.7467620074469712,0.7460935430969369,0.7454360507982394,0.74472315515419,0.7439960969112993,0.7432947060429942,0.7425215551009352,0.7417176947110926,0.740961068258303,0.7402155118788942,0.7394324241496915,0.7386562151845688,0.737899049581579,0.7370842662765147,0.736357252286993,0.735663380278992,0.7349959351028179,0.7341898749657956,0.733587132174064,0.7326324249832157,0.7318714440271562,0.7312195042849448,0.7304999955316861,0.7296348641001689,0.7288261659231092,0.7279931377637662,0.727255782313132,0.7265454751497121,0.7257217586121776,0.7250013118937523,0.724073241492911,0.7233694033137186,0.7227939111904101,0.7220985741632062,0.7213783691424627,0.7206656526686106,0.7198258467549463,0.7190618092180532,0.7183229123428037,0.7174647725120218,0.7166255575823964,0.7157981181343025,0.7148591186416948,0.7139744770186722,0.7131300178830089,0.7123992206411706,0.711581502762844,0.7109090882158948,0.7101117687732581,0.7092444444000975,0.7083197305080601,0.7074301744180036,0.7065779905976859,0.7056615301511102,0.7046500317318687,0.7035731049531622,0.702537404604529,0.7015014316775274,0.7004186689183345,0.6993259453489107,0.6982896823148279,0.6969993893528219,0.6961009794065939,0.6951916009263303,0.6940161456845049,0.6927668184815658,0.6910093260176204,0.6888277615475382,0.6860948836138214,0.6840486428139188,0.6821194413470797,0.6801604827350387,0.6781163669556787,0.6762572958239836,0.6744716517298798,0.6725290364109748,0.6709152865071888,0.6693296420581589,0.6674836542420952,0.6658696590954771,0.6643737970665973,0.6627660659277497,0.6612106073285924,0.6597774646953933,0.6585755550498591,0.6572635309392405,0.656014578767711,0.6545894467514015,0.6531450943845185,0.6517414085302979,0.6503973925507762,0.648927536684357,0.6474112723594256,0.6460524860957816,0.6446900022342092,0.643213522746034,0.6419736533576268,0.640506838263547,0.6390381502993278,0.6377897082157485,0.6366034439317545,0.635522925138525,0.6342579441738976,0.633135865514671,0.6320491387552296,0.630826326690315,0.6296540393281402,0.6283621339422307,0.6272434132992399,0.62620678916176,0.6250335061509936,0.6238279119330301,0.6224086423618815,0.6215140953857057,0.6202362971656752,0.6189194011788997,0.6176842620597401,0.6164295541992892,0.6153768419444692,0.614351788938269,0.6131715858293896,0.6117479891661771,0.6106747538523176,0.609592866271673,0.608560226354246,0.6075335465379726,0.6065249681378446,0.605398314193398,0.6041639461347456,0.6030440021245997,0.6018287405735975,0.6006589345518893,0.5993904278505475,0.5982121421854174,0.5968303204085699,0.5952588363534914,0.5938415766748455,0.592671096016578,0.5914187187463389,0.5900868428413361,0.5888042438104395,0.5875820931781823,0.5864156509687591,0.5852229733068913,0.5840620847492352,0.5827607940317444,0.5814914354105898,0.5801516693681441,0.5789227599567413,0.577954288988888,0.5767966264959374,0.5758133825178053,0.5746857953474764,0.5734407064997855,0.5722756861112771,0.5709886758366816,0.5696929769763817,0.5684366248053021,0.5673837474787455,0.5660968879100903,0.5647778150434546,0.5634653327655486,0.5622042793403645,0.5608115936267991,0.5596962540571602,0.558629313950634,0.557468041652031,0.5561364249174585,0.5549558957661563,0.5538464696256234,0.5525601166486209,0.5512726195798558,0.5499278670793736,0.5487125406305462,0.5475321400085937,0.5462974461761703,0.5449182229374943,0.543596973177269,0.542506735474962,0.5413480716222219,0.5399716125206195,0.5387123893545218,0.5373854411919367,0.5361553064933923,0.5351334522041498,0.5339510928132423,0.5324435634454747,0.5310970430925127,0.5296860606267642,0.528578102104263,0.5273447311184142,0.5262476392250595,0.5251273086051076,0.5241836850462218,0.5230168724832089,0.5218092571533333,0.520602067689428,0.5193146031367658,0.51822946306742,0.5169729720423657,0.5158481901133873,0.5147124618959332,0.5135324088083247,0.5123716324679287,0.5112136081761021,0.5101879682657573,0.5088479175294236,0.5072344003756157,0.5057969356409444,0.5046320297858575,0.5034176046398193,0.5019196938838061,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},{\\\"fill\\\":\\\"tonexty\\\",\\\"fillcolor\\\":\\\"rgba(0, 125, 125, 0.2)\\\",\\\"hoverinfo\\\":\\\"skip\\\",\\\"line\\\":{\\\"color\\\":\\\"rgba(0, 125, 125, 1)\\\",\\\"width\\\":0.0},\\\"name\\\":\\\"Ensemble\\\",\\\"showlegend\\\":false,\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.5,0.5001,0.5002,0.5003,0.5004,0.5005,0.5006,0.5007,0.5008,0.5009,0.501,0.5011,0.5012,0.5013,0.5014,0.5015,0.5016,0.5017,0.5018,0.5019,0.502,0.5021,0.5022,0.5023,0.5024,0.5025,0.5026,0.5027,0.5028,0.5029,0.503,0.5031,0.5032,0.5033,0.5034,0.5035,0.5036,0.5037,0.5038,0.5039,0.504,0.5041,0.5042,0.5043,0.5044,0.5045,0.5046,0.5047,0.5048,0.5049,0.505,0.5051,0.5052,0.5053,0.5054,0.5055,0.5056,0.5057,0.5058,0.5059,0.506,0.5061,0.5062,0.5063,0.5064,0.5065,0.5066,0.5067,0.5068,0.5069,0.507,0.5071,0.5072,0.5073,0.5074,0.5075,0.5076,0.5077,0.5078,0.5079,0.508,0.5081,0.5082,0.5083,0.5084,0.5085,0.5086,0.5087,0.5088,0.5089,0.509,0.5091,0.5092,0.5093,0.5094,0.5095,0.5096,0.5097,0.5098,0.5099,0.51,0.5101,0.5102,0.5103,0.5104,0.5105,0.5106,0.5107,0.5108,0.5109,0.511,0.5111,0.5112,0.5113,0.5114,0.5115,0.5116,0.5117,0.5118,0.5119,0.512,0.5121,0.5122,0.5123,0.5124,0.5125,0.5126,0.5127,0.5128,0.5129,0.513,0.5131,0.5132,0.5133,0.5134,0.5135,0.5136000000000001,0.5137,0.5138,0.5139,0.514,0.5141,0.5142,0.5143,0.5144,0.5145,0.5146,0.5147,0.5148,0.5149,0.515,0.5151,0.5152,0.5153,0.5154,0.5155,0.5156,0.5157,0.5158,0.5159,0.516,0.5161,0.5162,0.5163,0.5164,0.5165,0.5166,0.5167,0.5168,0.5169,0.517,0.5171,0.5172,0.5173,0.5174,0.5175,0.5176,0.5177,0.5178,0.5179,0.518,0.5181,0.5182,0.5183,0.5184,0.5185,0.5186,0.5187,0.5188,0.5189,0.519,0.5191,0.5192,0.5193,0.5194,0.5195,0.5196,0.5197,0.5198,0.5199,0.52,0.5201,0.5202,0.5203,0.5204,0.5205,0.5206,0.5207,0.5208,0.5209,0.521,0.5211,0.5212,0.5213,0.5214,0.5215,0.5216,0.5217,0.5218,0.5219,0.522,0.5221,0.5222,0.5223,0.5224,0.5225,0.5226,0.5227,0.5228,0.5229,0.523,0.5231,0.5232,0.5233,0.5234,0.5235,0.5236,0.5237,0.5238,0.5239,0.524,0.5241,0.5242,0.5243,0.5244,0.5245,0.5246,0.5246999999999999,0.5248,0.5249,0.525,0.5251,0.5252,0.5253,0.5254,0.5255,0.5256,0.5257000000000001,0.5258,0.5259,0.526,0.5261,0.5262,0.5263,0.5264,0.5265,0.5266,0.5267,0.5268,0.5269,0.527,0.5271,0.5272,0.5273,0.5274,0.5275,0.5276,0.5277000000000001,0.5278,0.5279,0.528,0.5281,0.5282,0.5283,0.5284,0.5285,0.5286,0.5287,0.5288,0.5289,0.529,0.5291,0.5292,0.5293,0.5294,0.5295,0.5296,0.5297,0.5298,0.5299,0.53,0.5301,0.5302,0.5303,0.5304,0.5305,0.5306,0.5307,0.5308,0.5309,0.531,0.5311,0.5312,0.5313,0.5314,0.5315,0.5316,0.5317,0.5318,0.5319,0.532,0.5321,0.5322,0.5323,0.5324,0.5325,0.5326,0.5327,0.5328,0.5329,0.533,0.5331,0.5332,0.5333,0.5334,0.5335,0.5336,0.5337,0.5338,0.5339,0.534,0.5341,0.5342,0.5343,0.5344,0.5345,0.5346,0.5347,0.5348,0.5349,0.535,0.5351,0.5352,0.5353,0.5354,0.5355,0.5356,0.5357,0.5358,0.5359,0.536,0.5361,0.5362,0.5363,0.5364,0.5365,0.5366,0.5367,0.5367999999999999,0.5369,0.537,0.5371,0.5372,0.5373,0.5374,0.5375,0.5376,0.5377,0.5378000000000001,0.5379,0.538,0.5381,0.5382,0.5383,0.5384,0.5385,0.5386,0.5387,0.5388,0.5389,0.539,0.5391,0.5392,0.5393,0.5394,0.5395,0.5396,0.5397,0.5398000000000001,0.5399,0.54,0.5401,0.5402,0.5403,0.5404,0.5405,0.5406,0.5407,0.5408,0.5409,0.541,0.5411,0.5412,0.5413,0.5414,0.5415,0.5416,0.5417,0.5418000000000001,0.5419,0.542,0.5421,0.5422,0.5423,0.5424,0.5425,0.5426,0.5427,0.5428,0.5429,0.543,0.5431,0.5432,0.5433,0.5434,0.5435,0.5436,0.5437,0.5438,0.5439,0.544,0.5441,0.5442,0.5443,0.5444,0.5445,0.5446,0.5447,0.5448,0.5449,0.545,0.5451,0.5452,0.5453,0.5454,0.5455,0.5456,0.5457,0.5458,0.5459,0.546,0.5461,0.5462,0.5463,0.5464,0.5465,0.5466,0.5467,0.5468,0.5469,0.547,0.5471,0.5472,0.5473,0.5474,0.5475,0.5476,0.5477,0.5478,0.5479,0.548,0.5481,0.5482,0.5483,0.5484,0.5485,0.5486,0.5487,0.5488,0.5488999999999999,0.549,0.5491,0.5492,0.5493,0.5494,0.5495,0.5496,0.5497,0.5498,0.5499,0.55,0.5501,0.5502,0.5503,0.5504,0.5505,0.5506,0.5507,0.5508,0.5509,0.551,0.5511,0.5512,0.5513,0.5514,0.5515,0.5516,0.5517,0.5518,0.5519000000000001,0.552,0.5521,0.5522,0.5523,0.5524,0.5525,0.5526,0.5527,0.5528,0.5529,0.553,0.5531,0.5532,0.5533,0.5534,0.5535,0.5536,0.5537,0.5538,0.5539000000000001,0.554,0.5541,0.5542,0.5543,0.5544,0.5545,0.5546,0.5547,0.5548,0.5549,0.555,0.5551,0.5552,0.5553,0.5554,0.5555,0.5556,0.5557,0.5558,0.5559000000000001,0.556,0.5561,0.5562,0.5563,0.5564,0.5565,0.5566,0.5567,0.5568,0.5569,0.557,0.5571,0.5572,0.5573,0.5574,0.5575,0.5576,0.5577,0.5578,0.5579,0.558,0.5581,0.5582,0.5583,0.5584,0.5585,0.5586,0.5587,0.5588,0.5589,0.559,0.5591,0.5592,0.5593,0.5594,0.5595,0.5596,0.5597,0.5598,0.5599,0.56,0.5601,0.5602,0.5603,0.5604,0.5605,0.5606,0.5607,0.5608,0.5609,0.561,0.5611,0.5612,0.5613,0.5614,0.5615,0.5616,0.5617,0.5618,0.5619,0.562,0.5621,0.5622,0.5623,0.5624,0.5625,0.5626,0.5627,0.5628,0.5629,0.563,0.5631,0.5632,0.5633,0.5634,0.5635,0.5636,0.5637,0.5638,0.5639,0.5640000000000001,0.5641,0.5642,0.5643,0.5644,0.5645,0.5646,0.5647,0.5648,0.5649,0.565,0.5651,0.5652,0.5653,0.5654,0.5655,0.5656,0.5657,0.5658,0.5659,0.5660000000000001,0.5661,0.5662,0.5663,0.5664,0.5665,0.5666,0.5667,0.5668,0.5669,0.567,0.5671,0.5672,0.5673,0.5674,0.5675,0.5676,0.5677,0.5678,0.5679,0.5680000000000001,0.5681,0.5682,0.5683,0.5684,0.5685,0.5686,0.5687,0.5688,0.5689,0.569,0.5691,0.5692,0.5693,0.5694,0.5695,0.5696,0.5697,0.5698,0.5699,0.5700000000000001,0.5701,0.5702,0.5703,0.5704,0.5705,0.5706,0.5707,0.5708,0.5709,0.571,0.5710999999999999,0.5712,0.5713,0.5714,0.5715,0.5716,0.5717,0.5718,0.5719,0.5720000000000001,0.5721,0.5722,0.5723,0.5724,0.5725,0.5726,0.5727,0.5728,0.5729,0.573,0.5730999999999999,0.5732,0.5733,0.5734,0.5735,0.5736,0.5737,0.5738,0.5739,0.5740000000000001,0.5741,0.5742,0.5743,0.5744,0.5745,0.5746,0.5747,0.5748,0.5749,0.575,0.5751,0.5752,0.5753,0.5754,0.5755,0.5756,0.5757,0.5758,0.5759,0.576,0.5761000000000001,0.5762,0.5763,0.5764,0.5765,0.5766,0.5767,0.5768,0.5769,0.577,0.5771,0.5772,0.5773,0.5774,0.5775,0.5776,0.5777,0.5778,0.5779,0.578,0.5781000000000001,0.5782,0.5783,0.5784,0.5785,0.5786,0.5787,0.5788,0.5789,0.579,0.5791,0.5792,0.5793,0.5794,0.5795,0.5796,0.5797,0.5798,0.5799,0.58,0.5801000000000001,0.5802,0.5803,0.5804,0.5805,0.5806,0.5807,0.5808,0.5809,0.581,0.5811,0.5812,0.5813,0.5814,0.5815,0.5816,0.5817,0.5818,0.5819,0.582,0.5821000000000001,0.5822,0.5823,0.5824,0.5825,0.5826,0.5827,0.5828,0.5829,0.583,0.5831,0.5832,0.5833,0.5834,0.5835,0.5836,0.5837,0.5838,0.5839,0.584,0.5841000000000001,0.5842,0.5843,0.5844,0.5845,0.5846,0.5847,0.5848,0.5849,0.585,0.5851,0.5851999999999999,0.5853,0.5854,0.5855,0.5856,0.5857,0.5858,0.5859,0.586,0.5861000000000001,0.5862,0.5863,0.5864,0.5865,0.5866,0.5867,0.5868,0.5869,0.587,0.5871,0.5871999999999999,0.5873,0.5874,0.5875,0.5876,0.5877,0.5878,0.5879,0.588,0.5881,0.5882000000000001,0.5883,0.5884,0.5885,0.5886,0.5887,0.5888,0.5889,0.589,0.5891,0.5892,0.5893,0.5894,0.5895,0.5896,0.5897,0.5898,0.5899,0.59,0.5901,0.5902000000000001,0.5903,0.5904,0.5905,0.5906,0.5907,0.5908,0.5909,0.591,0.5911,0.5912,0.5913,0.5914,0.5915,0.5916,0.5917,0.5918,0.5919,0.592,0.5921,0.5922000000000001,0.5923,0.5924,0.5925,0.5926,0.5927,0.5928,0.5929,0.593,0.5931,0.5932,0.5933,0.5934,0.5935,0.5936,0.5937,0.5938,0.5939,0.594,0.5941,0.5942000000000001,0.5943,0.5944,0.5945,0.5946,0.5947,0.5948,0.5949,0.595,0.5951,0.5952,0.5953,0.5954,0.5955,0.5956,0.5957,0.5958,0.5959,0.596,0.5961,0.5962000000000001,0.5963,0.5964,0.5965,0.5966,0.5967,0.5968,0.5969,0.597,0.5971,0.5972,0.5973,0.5974,0.5975,0.5976,0.5977,0.5978,0.5979,0.598,0.5981,0.5982000000000001,0.5983,0.5984,0.5985,0.5986,0.5987,0.5988,0.5989,0.599,0.5991,0.5992,0.5992999999999999,0.5994,0.5995,0.5996,0.5997,0.5998,0.5999,0.6,0.6001,0.6002000000000001,0.6003000000000001,0.6004,0.6005,0.6006,0.6007,0.6008,0.6009,0.601,0.6011,0.6012,0.6013,0.6014,0.6015,0.6016,0.6017,0.6018,0.6019,0.602,0.6021,0.6022,0.6023000000000001,0.6024,0.6025,0.6026,0.6027,0.6028,0.6029,0.603,0.6031,0.6032,0.6033,0.6034,0.6035,0.6036,0.6037,0.6038,0.6039,0.604,0.6041,0.6042,0.6043000000000001,0.6044,0.6045,0.6046,0.6047,0.6048,0.6049,0.605,0.6051,0.6052,0.6053,0.6054,0.6055,0.6056,0.6057,0.6058,0.6059,0.606,0.6061,0.6062,0.6063000000000001,0.6064,0.6065,0.6066,0.6067,0.6068,0.6069,0.607,0.6071,0.6072,0.6073,0.6074,0.6075,0.6076,0.6077,0.6078,0.6079,0.608,0.6081,0.6082,0.6083000000000001,0.6084,0.6085,0.6086,0.6087,0.6088,0.6089,0.609,0.6091,0.6092,0.6093,0.6094,0.6095,0.6096,0.6097,0.6098,0.6099,0.61,0.6101,0.6102,0.6103000000000001,0.6104,0.6105,0.6106,0.6107,0.6108,0.6109,0.611,0.6111,0.6112,0.6113,0.6113999999999999,0.6115,0.6116,0.6117,0.6118,0.6119,0.612,0.6121,0.6122,0.6123000000000001,0.6124,0.6125,0.6126,0.6127,0.6128,0.6129,0.613,0.6131,0.6132,0.6133,0.6134,0.6135,0.6136,0.6137,0.6138,0.6139,0.614,0.6141,0.6142,0.6143,0.6144000000000001,0.6145,0.6146,0.6147,0.6148,0.6149,0.615,0.6151,0.6152,0.6153,0.6154,0.6155,0.6156,0.6157,0.6158,0.6159,0.616,0.6161,0.6162,0.6163,0.6164000000000001,0.6165,0.6166,0.6167,0.6168,0.6169,0.617,0.6171,0.6172,0.6173,0.6174,0.6175,0.6176,0.6177,0.6178,0.6179,0.618,0.6181,0.6182,0.6183,0.6184000000000001,0.6185,0.6186,0.6187,0.6188,0.6189,0.619,0.6191,0.6192,0.6193,0.6194,0.6195,0.6196,0.6197,0.6198,0.6199,0.62,0.6201,0.6202,0.6203,0.6204000000000001,0.6205,0.6206,0.6207,0.6208,0.6209,0.621,0.6211,0.6212,0.6213,0.6214,0.6215,0.6216,0.6217,0.6218,0.6219,0.622,0.6221,0.6222,0.6223,0.6224000000000001,0.6225,0.6226,0.6227,0.6228,0.6229,0.623,0.6231,0.6232,0.6233,0.6234,0.6235,0.6236,0.6237,0.6238,0.6239,0.624,0.6241,0.6242,0.6243,0.6244000000000001,0.6245,0.6246,0.6247,0.6248,0.6249,0.625,0.6251,0.6252,0.6253,0.6254,0.6255,0.6256,0.6257,0.6258,0.6259,0.626,0.6261,0.6262,0.6263,0.6264000000000001,0.6265000000000001,0.6266,0.6267,0.6268,0.6269,0.627,0.6271,0.6272,0.6273,0.6274,0.6275,0.6276,0.6277,0.6278,0.6279,0.628,0.6281,0.6282,0.6283,0.6284000000000001,0.6285000000000001,0.6286,0.6287,0.6288,0.6289,0.629,0.6291,0.6292,0.6293,0.6294,0.6295,0.6295999999999999,0.6297,0.6298,0.6299,0.63,0.6301,0.6302,0.6303,0.6304000000000001,0.6305000000000001,0.6306,0.6307,0.6308,0.6309,0.631,0.6311,0.6312,0.6313,0.6314,0.6315,0.6315999999999999,0.6317,0.6318,0.6319,0.632,0.6321,0.6322,0.6323,0.6324000000000001,0.6325000000000001,0.6326,0.6327,0.6328,0.6329,0.633,0.6331,0.6332,0.6333,0.6334,0.6335,0.6335999999999999,0.6337,0.6338,0.6339,0.634,0.6341,0.6342,0.6343,0.6344000000000001,0.6345000000000001,0.6346,0.6347,0.6348,0.6349,0.635,0.6351,0.6352,0.6353,0.6354,0.6355,0.6355999999999999,0.6357,0.6358,0.6359,0.636,0.6361,0.6362,0.6363,0.6364,0.6365000000000001,0.6366,0.6367,0.6368,0.6369,0.637,0.6371,0.6372,0.6373,0.6374,0.6375,0.6376,0.6377,0.6378,0.6379,0.638,0.6381,0.6382,0.6383,0.6384,0.6385000000000001,0.6386000000000001,0.6387,0.6388,0.6389,0.639,0.6391,0.6392,0.6393,0.6394,0.6395,0.6396,0.6397,0.6398,0.6399,0.64,0.6401,0.6402,0.6403,0.6404,0.6405000000000001,0.6406000000000001,0.6407,0.6408,0.6409,0.641,0.6411,0.6412,0.6413,0.6414,0.6415,0.6416,0.6417,0.6418,0.6419,0.642,0.6421,0.6422,0.6423,0.6424,0.6425000000000001,0.6426000000000001,0.6427,0.6428,0.6429,0.643,0.6431,0.6432,0.6433,0.6434,0.6435,0.6436,0.6436999999999999,0.6438,0.6439,0.644,0.6441,0.6442,0.6443,0.6444,0.6445000000000001,0.6446000000000001,0.6447,0.6448,0.6449,0.645,0.6451,0.6452,0.6453,0.6454,0.6455,0.6456,0.6456999999999999,0.6458,0.6459,0.646,0.6461,0.6462,0.6463,0.6464,0.6465000000000001,0.6466000000000001,0.6467,0.6468,0.6469,0.647,0.6471,0.6472,0.6473,0.6474,0.6475,0.6476,0.6476999999999999,0.6478,0.6479,0.648,0.6481,0.6482,0.6483,0.6484,0.6485000000000001,0.6486000000000001,0.6487,0.6488,0.6489,0.649,0.6491,0.6492,0.6493,0.6494,0.6495,0.6496,0.6496999999999999,0.6498,0.6499,0.65,0.6501,0.6502,0.6503,0.6504,0.6505,0.6506000000000001,0.6507000000000001,0.6508,0.6509,0.651,0.6511,0.6512,0.6513,0.6514,0.6515,0.6516,0.6517,0.6518,0.6519,0.652,0.6521,0.6522,0.6523,0.6524,0.6525,0.6526000000000001,0.6527000000000001,0.6528,0.6529,0.653,0.6531,0.6532,0.6533,0.6534,0.6535,0.6536,0.6537,0.6538,0.6539,0.654,0.6541,0.6542,0.6543,0.6544,0.6545,0.6546000000000001,0.6547000000000001,0.6548,0.6549,0.655,0.6551,0.6552,0.6553,0.6554,0.6555,0.6556,0.6557,0.6557999999999999,0.6559,0.656,0.6561,0.6562,0.6563,0.6564,0.6565,0.6566000000000001,0.6567000000000001,0.6568,0.6569,0.657,0.6571,0.6572,0.6573,0.6574,0.6575,0.6576,0.6577,0.6577999999999999,0.6579,0.658,0.6581,0.6582,0.6583,0.6584,0.6585,0.6586000000000001,0.6587000000000001,0.6588,0.6589,0.659,0.6591,0.6592,0.6593,0.6594,0.6595,0.6596,0.6597,0.6597999999999999,0.6599,0.66,0.6601,0.6602,0.6603,0.6604,0.6605,0.6606000000000001,0.6607000000000001,0.6608,0.6609,0.661,0.6611,0.6612,0.6613,0.6614,0.6615,0.6616,0.6617,0.6617999999999999,0.6619,0.662,0.6621,0.6622,0.6623,0.6624,0.6625,0.6626,0.6627000000000001,0.6628000000000001,0.6629,0.663,0.6631,0.6632,0.6633,0.6634,0.6635,0.6636,0.6637,0.6638,0.6639,0.664,0.6641,0.6642,0.6643,0.6644,0.6645,0.6646,0.6647000000000001,0.6648000000000001,0.6649,0.665,0.6651,0.6652,0.6653,0.6654,0.6655,0.6656,0.6657,0.6658,0.6659,0.666,0.6661,0.6662,0.6663,0.6664,0.6665,0.6666,0.6667000000000001,0.6668000000000001,0.6669,0.667,0.6671,0.6672,0.6673,0.6674,0.6675,0.6676,0.6677,0.6678,0.6679,0.668,0.6681,0.6682,0.6683,0.6684,0.6685,0.6686,0.6687000000000001,0.6688000000000001,0.6689,0.669,0.6691,0.6692,0.6693,0.6694,0.6695,0.6696,0.6697,0.6698,0.6698999999999999,0.67,0.6701,0.6702,0.6703,0.6704,0.6705,0.6706,0.6707000000000001,0.6708000000000001,0.6709,0.671,0.6711,0.6712,0.6713,0.6714,0.6715,0.6716,0.6717,0.6718,0.6718999999999999,0.672,0.6721,0.6722,0.6723,0.6724,0.6725,0.6726,0.6727000000000001,0.6728000000000001,0.6729,0.673,0.6731,0.6732,0.6733,0.6734,0.6735,0.6736,0.6737,0.6738,0.6738999999999999,0.674,0.6741,0.6742,0.6743,0.6744,0.6745,0.6746,0.6747000000000001,0.6748000000000001,0.6749,0.675,0.6751,0.6752,0.6753,0.6754,0.6755,0.6756,0.6757,0.6758,0.6759,0.676,0.6761,0.6762,0.6763,0.6764,0.6765,0.6766,0.6767,0.6768000000000001,0.6769000000000001,0.677,0.6771,0.6772,0.6773,0.6774,0.6775,0.6776,0.6777,0.6778,0.6779,0.678,0.6781,0.6782,0.6783,0.6784,0.6785,0.6786,0.6787,0.6788000000000001,0.6789000000000001,0.679,0.6791,0.6792,0.6793,0.6794,0.6795,0.6796,0.6797,0.6798,0.6799,0.68,0.6801,0.6802,0.6803,0.6804,0.6805,0.6806,0.6807,0.6808000000000001,0.6809000000000001,0.681,0.6811,0.6812,0.6813,0.6814,0.6815,0.6816,0.6817,0.6818,0.6819,0.6819999999999999,0.6821,0.6822,0.6823,0.6824,0.6825,0.6826,0.6827,0.6828000000000001,0.6829000000000001,0.683,0.6831,0.6832,0.6833,0.6834,0.6835,0.6836,0.6837,0.6838,0.6839,0.6839999999999999,0.6841,0.6842,0.6843,0.6844,0.6845,0.6846,0.6847,0.6848000000000001,0.6849000000000001,0.685,0.6851,0.6852,0.6853,0.6854,0.6855,0.6856,0.6857,0.6858,0.6859,0.6859999999999999,0.6861,0.6862,0.6863,0.6864,0.6865,0.6866,0.6867,0.6868000000000001,0.6869000000000001,0.687,0.6871,0.6872,0.6873,0.6874,0.6875,0.6876,0.6877,0.6878,0.6879,0.688,0.6881,0.6882,0.6883,0.6884,0.6885,0.6886,0.6887,0.6888,0.6889000000000001,0.6890000000000001,0.6891,0.6892,0.6893,0.6894,0.6895,0.6896,0.6897,0.6898,0.6899,0.69,0.6901,0.6902,0.6903,0.6904,0.6905,0.6906,0.6907,0.6908,0.6909000000000001,0.6910000000000001,0.6911,0.6912,0.6913,0.6914,0.6915,0.6916,0.6917,0.6918,0.6919,0.692,0.6921,0.6922,0.6923,0.6924,0.6925,0.6926,0.6927,0.6928,0.6929000000000001,0.6930000000000001,0.6931,0.6932,0.6933,0.6934,0.6935,0.6936,0.6937,0.6938,0.6939,0.694,0.6941,0.6942,0.6943,0.6944,0.6945,0.6946,0.6947,0.6948,0.6949000000000001,0.6950000000000001,0.6951,0.6952,0.6953,0.6954,0.6955,0.6956,0.6957,0.6958,0.6959,0.696,0.6960999999999999,0.6962,0.6963,0.6964,0.6965,0.6966,0.6967,0.6968,0.6969000000000001,0.6970000000000001,0.6971,0.6972,0.6973,0.6974,0.6975,0.6976,0.6977,0.6978,0.6979,0.698,0.6980999999999999,0.6982,0.6983,0.6984,0.6985,0.6986,0.6987,0.6988,0.6989000000000001,0.6990000000000001,0.6991,0.6992,0.6993,0.6994,0.6995,0.6996,0.6997,0.6998,0.6999,0.7,0.7001,0.7002,0.7003,0.7004,0.7005,0.7006,0.7007,0.7008,0.7009000000000001,0.7010000000000001,0.7011000000000001,0.7012,0.7013,0.7014,0.7015,0.7016,0.7017,0.7018,0.7019,0.702,0.7021,0.7022,0.7023,0.7024,0.7025,0.7026,0.7027,0.7028,0.7029,0.7030000000000001,0.7031000000000001,0.7032,0.7033,0.7034,0.7035,0.7036,0.7037,0.7038,0.7039,0.704,0.7041,0.7042,0.7043,0.7044,0.7045,0.7046,0.7047,0.7048,0.7049,0.7050000000000001,0.7051000000000001,0.7052,0.7053,0.7054,0.7055,0.7056,0.7057,0.7058,0.7059,0.706,0.7061,0.7062,0.7063,0.7064,0.7065,0.7066,0.7067,0.7068,0.7069,0.7070000000000001,0.7071000000000001,0.7072,0.7073,0.7074,0.7075,0.7076,0.7077,0.7078,0.7079,0.708,0.7081,0.7081999999999999,0.7083,0.7084,0.7085,0.7086,0.7087,0.7088,0.7089,0.7090000000000001,0.7091000000000001,0.7092,0.7093,0.7094,0.7095,0.7096,0.7097,0.7098,0.7099,0.71,0.7101,0.7101999999999999,0.7103,0.7104,0.7105,0.7106,0.7107,0.7108,0.7109,0.7110000000000001,0.7111000000000001,0.7112,0.7113,0.7114,0.7115,0.7116,0.7117,0.7118,0.7119,0.712,0.7121,0.7121999999999999,0.7123,0.7124,0.7125,0.7126,0.7127,0.7128,0.7129,0.7130000000000001,0.7131000000000001,0.7132000000000001,0.7133,0.7134,0.7135,0.7136,0.7137,0.7138,0.7139,0.714,0.7141,0.7142,0.7143,0.7144,0.7145,0.7146,0.7147,0.7148,0.7149,0.715,0.7151000000000001,0.7152000000000001,0.7153,0.7154,0.7155,0.7156,0.7157,0.7158,0.7159,0.716,0.7161,0.7162,0.7163,0.7164,0.7165,0.7166,0.7167,0.7168,0.7169,0.717,0.7171000000000001,0.7172000000000001,0.7173,0.7174,0.7175,0.7176,0.7177,0.7178,0.7179,0.718,0.7181,0.7182,0.7183,0.7184,0.7185,0.7186,0.7187,0.7188,0.7189,0.719,0.7191000000000001,0.7192000000000001,0.7193,0.7194,0.7195,0.7196,0.7197,0.7198,0.7199,0.72,0.7201,0.7202,0.7203,0.7204,0.7205,0.7206,0.7207,0.7208,0.7209,0.721,0.7211000000000001,0.7212000000000001,0.7213,0.7214,0.7215,0.7216,0.7217,0.7218,0.7219,0.722,0.7221,0.7222,0.7222999999999999,0.7224,0.7225,0.7226,0.7227,0.7228,0.7229,0.723,0.7231000000000001,0.7232000000000001,0.7233,0.7234,0.7235,0.7236,0.7237,0.7238,0.7239,0.724,0.7241,0.7242,0.7242999999999999,0.7244,0.7245,0.7246,0.7247,0.7248,0.7249,0.725,0.7251000000000001,0.7252000000000001,0.7253000000000001,0.7254,0.7255,0.7256,0.7257,0.7258,0.7259,0.726,0.7261,0.7262,0.7263,0.7264,0.7265,0.7266,0.7267,0.7268,0.7269,0.727,0.7271000000000001,0.7272000000000001,0.7273000000000001,0.7274,0.7275,0.7276,0.7277,0.7278,0.7279,0.728,0.7281,0.7282,0.7283,0.7284,0.7285,0.7286,0.7287,0.7288,0.7289,0.729,0.7291,0.7292000000000001,0.7293000000000001,0.7294,0.7295,0.7296,0.7297,0.7298,0.7299,0.73,0.7301,0.7302,0.7303,0.7304,0.7305,0.7306,0.7307,0.7308,0.7309,0.731,0.7311,0.7312000000000001,0.7313000000000001,0.7314,0.7315,0.7316,0.7317,0.7318,0.7319,0.732,0.7321,0.7322,0.7323,0.7324,0.7325,0.7326,0.7327,0.7328,0.7329,0.733,0.7331,0.7332000000000001,0.7333000000000001,0.7334,0.7335,0.7336,0.7337,0.7338,0.7339,0.734,0.7341,0.7342,0.7343,0.7344,0.7345,0.7346,0.7347,0.7348,0.7349,0.735,0.7351,0.7352000000000001,0.7353000000000001,0.7354,0.7355,0.7356,0.7357,0.7358,0.7359,0.736,0.7361,0.7362,0.7363,0.7363999999999999,0.7365,0.7366,0.7367,0.7368,0.7369,0.737,0.7371,0.7372000000000001,0.7373000000000001,0.7374,0.7375,0.7376,0.7377,0.7378,0.7379,0.738,0.7381,0.7382,0.7383,0.7384,0.7385,0.7386,0.7387,0.7388,0.7389,0.739,0.7391,0.7392000000000001,0.7393000000000001,0.7394000000000001,0.7395,0.7396,0.7397,0.7398,0.7399,0.74,0.7401,0.7402,0.7403,0.7404,0.7405,0.7406,0.7407,0.7408,0.7409,0.741,0.7411,0.7412,0.7413000000000001,0.7414000000000001,0.7415,0.7416,0.7417,0.7418,0.7419,0.742,0.7421,0.7422,0.7423,0.7424,0.7425,0.7426,0.7427,0.7428,0.7429,0.743,0.7431,0.7432,0.7433000000000001,0.7434000000000001,0.7435,0.7436,0.7437,0.7438,0.7439,0.744,0.7441,0.7442,0.7443,0.7444,0.7445,0.7446,0.7447,0.7448,0.7449,0.745,0.7451,0.7452,0.7453000000000001,0.7454000000000001,0.7455,0.7456,0.7457,0.7458,0.7459,0.746,0.7461,0.7462,0.7463,0.7464,0.7465,0.7466,0.7467,0.7468,0.7469,0.747,0.7471,0.7472,0.7473000000000001,0.7474000000000001,0.7475,0.7476,0.7477,0.7478,0.7479,0.748,0.7481,0.7482,0.7483,0.7484,0.7484999999999999,0.7486,0.7487,0.7488,0.7489,0.749,0.7491,0.7492,0.7493000000000001,0.7494000000000001,0.7495,0.7496,0.7497,0.7498,0.7499,0.75,0.7501,0.7502,0.7503,0.7504,0.7505,0.7505999999999999,0.7507,0.7508,0.7509,0.751,0.7511,0.7512000000000001,0.7513000000000001,0.7514000000000001,0.7515000000000001,0.7516,0.7517,0.7518,0.7519,0.752,0.7521,0.7522,0.7523,0.7524,0.7525,0.7525999999999999,0.7527,0.7528,0.7529,0.753,0.7531,0.7532000000000001,0.7533000000000001,0.7534000000000001,0.7535000000000001,0.7536,0.7537,0.7538,0.7539,0.754,0.7541,0.7542,0.7543,0.7544,0.7545,0.7545999999999999,0.7547,0.7548,0.7549,0.755,0.7551,0.7552000000000001,0.7553000000000001,0.7554000000000001,0.7555000000000001,0.7556,0.7557,0.7558,0.7559,0.756,0.7561,0.7562,0.7563,0.7564,0.7565,0.7565999999999999,0.7567,0.7568,0.7569,0.757,0.7571,0.7572000000000001,0.7573000000000001,0.7574000000000001,0.7575000000000001,0.7576,0.7577,0.7578,0.7579,0.758,0.7581,0.7582,0.7583,0.7584,0.7585,0.7585999999999999,0.7586999999999999,0.7588,0.7589,0.759,0.7591,0.7592,0.7593000000000001,0.7594000000000001,0.7595000000000001,0.7596,0.7597,0.7598,0.7599,0.76,0.7601,0.7602,0.7603,0.7604,0.7605,0.7605999999999999,0.7606999999999999,0.7608,0.7609,0.761,0.7611,0.7612,0.7613000000000001,0.7614000000000001,0.7615000000000001,0.7616,0.7617,0.7618,0.7619,0.762,0.7621,0.7622,0.7623,0.7624,0.7625,0.7626,0.7626999999999999,0.7628,0.7629,0.763,0.7631,0.7632,0.7633000000000001,0.7634000000000001,0.7635000000000001,0.7636000000000001,0.7637,0.7638,0.7639,0.764,0.7641,0.7642,0.7643,0.7644,0.7645,0.7646,0.7646999999999999,0.7648,0.7649,0.765,0.7651,0.7652,0.7653000000000001,0.7654000000000001,0.7655000000000001,0.7656000000000001,0.7657,0.7658,0.7659,0.766,0.7661,0.7662,0.7663,0.7664,0.7665,0.7666,0.7666999999999999,0.7668,0.7669,0.767,0.7671,0.7672,0.7673000000000001,0.7674000000000001,0.7675000000000001,0.7676000000000001,0.7677,0.7678,0.7679,0.768,0.7681,0.7682,0.7683,0.7684,0.7685,0.7686,0.7686999999999999,0.7688,0.7689,0.769,0.7691,0.7692,0.7693000000000001,0.7694000000000001,0.7695000000000001,0.7696000000000001,0.7697,0.7698,0.7699,0.77,0.7701,0.7702,0.7703,0.7704,0.7705,0.7706,0.7706999999999999,0.7708,0.7709,0.771,0.7711,0.7712,0.7713,0.7714000000000001,0.7715000000000001,0.7716000000000001,0.7717,0.7718,0.7719,0.772,0.7721,0.7722,0.7723,0.7724,0.7725,0.7726,0.7726999999999999,0.7727999999999999,0.7729,0.773,0.7731,0.7732,0.7733,0.7734000000000001,0.7735000000000001,0.7736000000000001,0.7737,0.7738,0.7739,0.774,0.7741,0.7742,0.7743,0.7744,0.7745,0.7746,0.7746999999999999,0.7747999999999999,0.7749,0.775,0.7751,0.7752,0.7753,0.7754000000000001,0.7755000000000001,0.7756000000000001,0.7757000000000001,0.7758,0.7759,0.776,0.7761,0.7762,0.7763,0.7764,0.7765,0.7766,0.7767,0.7767999999999999,0.7769,0.777,0.7771,0.7772,0.7773,0.7774000000000001,0.7775000000000001,0.7776000000000001,0.7777000000000001,0.7778,0.7779,0.778,0.7781,0.7782,0.7783,0.7784,0.7785,0.7786,0.7787,0.7787999999999999,0.7789,0.779,0.7791,0.7792,0.7793,0.7794000000000001,0.7795000000000001,0.7796000000000001,0.7797000000000001,0.7798,0.7799,0.78,0.7801,0.7802,0.7803,0.7804,0.7805,0.7806,0.7807,0.7807999999999999,0.7809,0.781,0.7811,0.7812,0.7813,0.7814000000000001,0.7815000000000001,0.7816000000000001,0.7817000000000001,0.7818,0.7819,0.782,0.7821,0.7822,0.7823,0.7824,0.7825,0.7826,0.7827,0.7827999999999999,0.7829,0.783,0.7831,0.7832,0.7833,0.7834000000000001,0.7835000000000001,0.7836000000000001,0.7837000000000001,0.7838,0.7839,0.784,0.7841,0.7842,0.7843,0.7844,0.7845,0.7846,0.7847,0.7847999999999999,0.7848999999999999,0.785,0.7851,0.7852,0.7853,0.7854,0.7855000000000001,0.7856000000000001,0.7857000000000001,0.7858,0.7859,0.786,0.7861,0.7862,0.7863,0.7864,0.7865,0.7866,0.7867,0.7867999999999999,0.7868999999999999,0.787,0.7871,0.7872,0.7873,0.7874,0.7875000000000001,0.7876000000000001,0.7877000000000001,0.7878000000000001,0.7879,0.788,0.7881,0.7882,0.7883,0.7884,0.7885,0.7886,0.7887,0.7888,0.7888999999999999,0.789,0.7891,0.7892,0.7893,0.7894,0.7895000000000001,0.7896000000000001,0.7897000000000001,0.7898000000000001,0.7899,0.79,0.7901,0.7902,0.7903,0.7904,0.7905,0.7906,0.7907,0.7908,0.7908999999999999,0.791,0.7911,0.7912,0.7913,0.7914,0.7915000000000001,0.7916000000000001,0.7917000000000001,0.7918000000000001,0.7919,0.792,0.7921,0.7922,0.7923,0.7924,0.7925,0.7926,0.7927,0.7928,0.7928999999999999,0.793,0.7931,0.7932,0.7933,0.7934,0.7935000000000001,0.7936000000000001,0.7937000000000001,0.7938000000000001,0.7939,0.794,0.7941,0.7942,0.7943,0.7944,0.7945,0.7946,0.7947,0.7948,0.7948999999999999,0.795,0.7951,0.7952,0.7953,0.7954,0.7955000000000001,0.7956000000000001,0.7957000000000001,0.7958000000000001,0.7959,0.796,0.7961,0.7962,0.7963,0.7964,0.7965,0.7966,0.7967,0.7968,0.7968999999999999,0.797,0.7971,0.7972,0.7973,0.7974,0.7975,0.7976000000000001,0.7977000000000001,0.7978000000000001,0.7979,0.798,0.7981,0.7982,0.7983,0.7984,0.7985,0.7986,0.7987,0.7988,0.7988999999999999,0.7989999999999999,0.7991,0.7992,0.7993,0.7994,0.7995,0.7996000000000001,0.7997000000000001,0.7998000000000001,0.7999,0.8,0.8001,0.8002,0.8003,0.8004,0.8005,0.8006,0.8007,0.8008,0.8009,0.8009999999999999,0.8011,0.8012,0.8013,0.8014,0.8015,0.8016000000000001,0.8017000000000001,0.8018000000000001,0.8019000000000001,0.802,0.8021,0.8022,0.8023,0.8024,0.8025,0.8026,0.8027,0.8028,0.8029,0.8029999999999999,0.8031,0.8032,0.8033,0.8034,0.8035,0.8036000000000001,0.8037000000000001,0.8038000000000001,0.8039000000000001,0.804,0.8041,0.8042,0.8043,0.8044,0.8045,0.8046,0.8047,0.8048,0.8049,0.8049999999999999,0.8051,0.8052,0.8053,0.8054,0.8055,0.8056000000000001,0.8057000000000001,0.8058000000000001,0.8059000000000001,0.806,0.8061,0.8062,0.8063,0.8064,0.8065,0.8066,0.8067,0.8068,0.8069,0.8069999999999999,0.8071,0.8072,0.8073,0.8074,0.8075,0.8076000000000001,0.8077000000000001,0.8078000000000001,0.8079000000000001,0.808,0.8081,0.8082,0.8083,0.8084,0.8085,0.8086,0.8087,0.8088,0.8089,0.8089999999999999,0.8091,0.8092,0.8093,0.8094,0.8095,0.8096000000000001,0.8097000000000001,0.8098000000000001,0.8099000000000001,0.81,0.8101,0.8102,0.8103,0.8104,0.8105,0.8106,0.8107,0.8108,0.8109,0.8109999999999999,0.8110999999999999,0.8112,0.8113,0.8114,0.8115,0.8116,0.8117000000000001,0.8118000000000001,0.8119000000000001,0.812,0.8121,0.8122,0.8123,0.8124,0.8125,0.8126,0.8127,0.8128,0.8129,0.813,0.8130999999999999,0.8132,0.8133,0.8134,0.8135,0.8136,0.8137000000000001,0.8138000000000001,0.8139000000000001,0.8140000000000001,0.8141,0.8142,0.8143,0.8144,0.8145,0.8146,0.8147,0.8148,0.8149,0.815,0.8150999999999999,0.8152,0.8153,0.8154,0.8155,0.8156,0.8157000000000001,0.8158000000000001,0.8159000000000001,0.8160000000000001,0.8161,0.8162,0.8163,0.8164,0.8165,0.8166,0.8167,0.8168,0.8169,0.817,0.8170999999999999,0.8172,0.8173,0.8174,0.8175,0.8176,0.8177000000000001,0.8178000000000001,0.8179000000000001,0.8180000000000001,0.8181,0.8182,0.8183,0.8184,0.8185,0.8186,0.8187,0.8188,0.8189,0.819,0.8190999999999999,0.8192,0.8193,0.8194,0.8195,0.8196,0.8197000000000001,0.8198000000000001,0.8199000000000001,0.8200000000000001,0.8201,0.8202,0.8203,0.8204,0.8205,0.8206,0.8207,0.8208,0.8209,0.821,0.8210999999999999,0.8212,0.8213,0.8214,0.8215,0.8216,0.8217000000000001,0.8218000000000001,0.8219000000000001,0.8220000000000001,0.8221,0.8222,0.8223,0.8224,0.8225,0.8226,0.8227,0.8228,0.8229,0.823,0.8230999999999999,0.8232,0.8233,0.8234,0.8235,0.8236,0.8237000000000001,0.8238000000000001,0.8239000000000001,0.8240000000000001,0.8241,0.8242,0.8243,0.8244,0.8245,0.8246,0.8247,0.8248,0.8249,0.825,0.8251,0.8251999999999999,0.8253,0.8254,0.8255,0.8256,0.8257,0.8258000000000001,0.8259000000000001,0.8260000000000001,0.8261000000000001,0.8262,0.8263,0.8264,0.8265,0.8266,0.8267,0.8268,0.8269,0.827,0.8271,0.8271999999999999,0.8273,0.8274,0.8275,0.8276,0.8277,0.8278000000000001,0.8279000000000001,0.8280000000000001,0.8281000000000001,0.8282,0.8283,0.8284,0.8285,0.8286,0.8287,0.8288,0.8289,0.829,0.8291,0.8291999999999999,0.8293,0.8294,0.8295,0.8296,0.8297,0.8298000000000001,0.8299000000000001,0.8300000000000001,0.8301000000000001,0.8302,0.8303,0.8304,0.8305,0.8306,0.8307,0.8308,0.8309,0.831,0.8311,0.8311999999999999,0.8313,0.8314,0.8315,0.8316,0.8317,0.8318000000000001,0.8319000000000001,0.8320000000000001,0.8321000000000001,0.8322,0.8323,0.8324,0.8325,0.8326,0.8327,0.8328,0.8329,0.833,0.8331,0.8331999999999999,0.8333,0.8334,0.8335,0.8336,0.8337,0.8338000000000001,0.8339000000000001,0.8340000000000001,0.8341000000000001,0.8342,0.8343,0.8344,0.8345,0.8346,0.8347,0.8348,0.8349,0.835,0.8351,0.8351999999999999,0.8353,0.8354,0.8355,0.8356,0.8357,0.8358000000000001,0.8359000000000001,0.8360000000000001,0.8361000000000001,0.8362,0.8363,0.8364,0.8365,0.8366,0.8367,0.8368,0.8369,0.837,0.8371,0.8371999999999999,0.8372999999999999,0.8374,0.8375,0.8376,0.8377,0.8378,0.8379000000000001,0.8380000000000001,0.8381000000000001,0.8382000000000001,0.8383,0.8384,0.8385,0.8386,0.8387,0.8388,0.8389,0.839,0.8391,0.8392,0.8392999999999999,0.8394,0.8395,0.8396,0.8397,0.8398,0.8399000000000001,0.8400000000000001,0.8401000000000001,0.8402000000000001,0.8403,0.8404,0.8405,0.8406,0.8407,0.8408,0.8409,0.841,0.8411,0.8412,0.8412999999999999,0.8414,0.8415,0.8416,0.8417,0.8418,0.8419000000000001,0.8420000000000001,0.8421000000000001,0.8422000000000001,0.8423,0.8424,0.8425,0.8426,0.8427,0.8428,0.8429,0.843,0.8431,0.8432,0.8432999999999999,0.8434,0.8435,0.8436,0.8437,0.8438,0.8439000000000001,0.8440000000000001,0.8441000000000001,0.8442000000000001,0.8443,0.8444,0.8445,0.8446,0.8447,0.8448,0.8449,0.845,0.8451,0.8452,0.8452999999999999,0.8454,0.8455,0.8456,0.8457,0.8458,0.8459000000000001,0.8460000000000001,0.8461000000000001,0.8462000000000001,0.8463,0.8464,0.8465,0.8466,0.8467,0.8468,0.8469,0.847,0.8471,0.8472,0.8472999999999999,0.8474,0.8475,0.8476,0.8477,0.8478,0.8479000000000001,0.8480000000000001,0.8481000000000001,0.8482000000000001,0.8483,0.8484,0.8485,0.8486,0.8487,0.8488,0.8489,0.849,0.8491,0.8492,0.8492999999999999,0.8494,0.8495,0.8496,0.8497,0.8498,0.8499000000000001,0.8500000000000001,0.8501000000000001,0.8502000000000001,0.8503000000000001,0.8504,0.8505,0.8506,0.8507,0.8508,0.8509,0.851,0.8511,0.8512,0.8513,0.8513999999999999,0.8515,0.8516,0.8517,0.8518,0.8519,0.8520000000000001,0.8521000000000001,0.8522000000000001,0.8523000000000001,0.8524,0.8525,0.8526,0.8527,0.8528,0.8529,0.853,0.8531,0.8532,0.8533,0.8533999999999999,0.8535,0.8536,0.8537,0.8538,0.8539,0.8540000000000001,0.8541000000000001,0.8542000000000001,0.8543000000000001,0.8544,0.8545,0.8546,0.8547,0.8548,0.8549,0.855,0.8551,0.8552,0.8553,0.8553999999999999,0.8555,0.8556,0.8557,0.8558,0.8559,0.8560000000000001,0.8561000000000001,0.8562000000000001,0.8563000000000001,0.8564,0.8565,0.8566,0.8567,0.8568,0.8569,0.857,0.8571,0.8572,0.8573,0.8573999999999999,0.8575,0.8576,0.8577,0.8578,0.8579,0.8580000000000001,0.8581000000000001,0.8582000000000001,0.8583000000000001,0.8584,0.8585,0.8586,0.8587,0.8588,0.8589,0.859,0.8591,0.8592,0.8593,0.8593999999999999,0.8595,0.8596,0.8597,0.8598,0.8599,0.8600000000000001,0.8601000000000001,0.8602000000000001,0.8603000000000001,0.8604,0.8605,0.8606,0.8607,0.8608,0.8609,0.861,0.8611,0.8612,0.8613,0.8613999999999999,0.8615,0.8616,0.8617,0.8618,0.8619,0.8620000000000001,0.8621000000000001,0.8622000000000001,0.8623000000000001,0.8624,0.8625,0.8626,0.8627,0.8628,0.8629,0.863,0.8631,0.8632,0.8633,0.8634,0.8634999999999999,0.8636,0.8637,0.8638,0.8639,0.864,0.8641000000000001,0.8642000000000001,0.8643000000000001,0.8644000000000001,0.8645,0.8646,0.8647,0.8648,0.8649,0.865,0.8651,0.8652,0.8653,0.8654,0.8654999999999999,0.8656,0.8657,0.8658,0.8659,0.866,0.8661000000000001,0.8662000000000001,0.8663000000000001,0.8664000000000001,0.8665,0.8666,0.8667,0.8668,0.8669,0.867,0.8671,0.8672,0.8673,0.8674,0.8674999999999999,0.8676,0.8677,0.8678,0.8679,0.868,0.8681000000000001,0.8682000000000001,0.8683000000000001,0.8684000000000001,0.8685,0.8686,0.8687,0.8688,0.8689,0.869,0.8691,0.8692,0.8693,0.8694,0.8694999999999999,0.8696,0.8697,0.8698,0.8699,0.87,0.8701000000000001,0.8702000000000001,0.8703000000000001,0.8704000000000001,0.8705,0.8706,0.8707,0.8708,0.8709,0.871,0.8711,0.8712,0.8713,0.8714,0.8714999999999999,0.8716,0.8717,0.8718,0.8719,0.872,0.8721000000000001,0.8722000000000001,0.8723000000000001,0.8724000000000001,0.8725,0.8726,0.8727,0.8728,0.8729,0.873,0.8731,0.8732,0.8733,0.8734,0.8734999999999999,0.8736,0.8737,0.8738,0.8739,0.874,0.8741000000000001,0.8742000000000001,0.8743000000000001,0.8744000000000001,0.8745,0.8746,0.8747,0.8748,0.8749,0.875,0.8751,0.8752,0.8753,0.8754,0.8755,0.8756,0.8757,0.8758,0.8759,0.876,0.8761000000000001,0.8762000000000001,0.8763000000000001,0.8764000000000001,0.8765000000000001,0.8766,0.8767,0.8768,0.8769,0.877,0.8771,0.8772,0.8773,0.8774,0.8775,0.8775999999999999,0.8777,0.8778,0.8779,0.878,0.8781,0.8782000000000001,0.8783000000000001,0.8784000000000001,0.8785000000000001,0.8786,0.8787,0.8788,0.8789,0.879,0.8791,0.8792,0.8793,0.8794,0.8795,0.8795999999999999,0.8797,0.8798,0.8799,0.88,0.8801,0.8802000000000001,0.8803000000000001,0.8804000000000001,0.8805000000000001,0.8806,0.8807,0.8808,0.8809,0.881,0.8811,0.8812,0.8813,0.8814,0.8815,0.8815999999999999,0.8817,0.8818,0.8819,0.882,0.8821,0.8822000000000001,0.8823000000000001,0.8824000000000001,0.8825000000000001,0.8826,0.8827,0.8828,0.8829,0.883,0.8831,0.8832,0.8833,0.8834,0.8835,0.8835999999999999,0.8837,0.8838,0.8839,0.884,0.8841,0.8842000000000001,0.8843000000000001,0.8844000000000001,0.8845000000000001,0.8846,0.8847,0.8848,0.8849,0.885,0.8851,0.8852,0.8853,0.8854,0.8855,0.8855999999999999,0.8857,0.8858,0.8859,0.886,0.8861,0.8862000000000001,0.8863000000000001,0.8864000000000001,0.8865000000000001,0.8866,0.8867,0.8868,0.8869,0.887,0.8871,0.8872,0.8873,0.8874,0.8875,0.8876,0.8877,0.8878,0.8879,0.888,0.8881,0.8882000000000001,0.8883000000000001,0.8884000000000001,0.8885000000000001,0.8886000000000001,0.8887,0.8888,0.8889,0.889,0.8891,0.8892,0.8893,0.8894,0.8895,0.8896,0.8897,0.8898,0.8899,0.89,0.8901,0.8902,0.8903000000000001,0.8904000000000001,0.8905000000000001,0.8906000000000001,0.8907,0.8908,0.8909,0.891,0.8911,0.8912,0.8913,0.8914,0.8915,0.8916,0.8916999999999999,0.8918,0.8919,0.892,0.8921,0.8922,0.8923000000000001,0.8924000000000001,0.8925000000000001,0.8926000000000001,0.8927,0.8928,0.8929,0.893,0.8931,0.8932,0.8933,0.8934,0.8935,0.8936,0.8936999999999999,0.8938,0.8939,0.894,0.8941,0.8942,0.8943000000000001,0.8944000000000001,0.8945000000000001,0.8946000000000001,0.8947,0.8948,0.8949,0.895,0.8951,0.8952,0.8953,0.8954,0.8955,0.8956,0.8956999999999999,0.8958,0.8959,0.896,0.8961,0.8962,0.8963000000000001,0.8964000000000001,0.8965000000000001,0.8966000000000001,0.8967,0.8968,0.8969,0.897,0.8971,0.8972,0.8973,0.8974,0.8975,0.8976,0.8976999999999999,0.8978,0.8979,0.898,0.8981,0.8982,0.8983000000000001,0.8984000000000001,0.8985000000000001,0.8986000000000001,0.8987,0.8988,0.8989,0.899,0.8991,0.8992,0.8993,0.8994,0.8995,0.8996,0.8996999999999999,0.8998,0.8999,0.9,0.9001,0.9002,0.9003000000000001,0.9004000000000001,0.9005000000000001,0.9006000000000001,0.9007000000000001,0.9008,0.9009,0.901,0.9011,0.9012,0.9013,0.9014,0.9015,0.9016,0.9017,0.9018,0.9019,0.902,0.9021,0.9022,0.9023000000000001,0.9024000000000001,0.9025000000000001,0.9026000000000001,0.9027000000000001,0.9028,0.9029,0.903,0.9031,0.9032,0.9033,0.9034,0.9035,0.9036,0.9037,0.9037999999999999,0.9039,0.904,0.9041,0.9042,0.9043,0.9044000000000001,0.9045000000000001,0.9046000000000001,0.9047000000000001,0.9048,0.9049,0.905,0.9051,0.9052,0.9053,0.9054,0.9055,0.9056,0.9057,0.9057999999999999,0.9059,0.906,0.9061,0.9062,0.9063,0.9064000000000001,0.9065000000000001,0.9066000000000001,0.9067000000000001,0.9068,0.9069,0.907,0.9071,0.9072,0.9073,0.9074,0.9075,0.9076,0.9077,0.9077999999999999,0.9079,0.908,0.9081,0.9082,0.9083,0.9084000000000001,0.9085000000000001,0.9086000000000001,0.9087000000000001,0.9088,0.9089,0.909,0.9091,0.9092,0.9093,0.9094,0.9095,0.9096,0.9097,0.9097999999999999,0.9099,0.91,0.9101,0.9102,0.9103,0.9104000000000001,0.9105000000000001,0.9106000000000001,0.9107000000000001,0.9108,0.9109,0.911,0.9111,0.9112,0.9113,0.9114,0.9115,0.9116,0.9117,0.9117999999999999,0.9119,0.912,0.9121,0.9122,0.9123,0.9124000000000001,0.9125000000000001,0.9126000000000001,0.9127000000000001,0.9128000000000001,0.9129,0.913,0.9131,0.9132,0.9133,0.9134,0.9135,0.9136,0.9137,0.9138,0.9139,0.914,0.9141,0.9142,0.9143,0.9144000000000001,0.9145000000000001,0.9146000000000001,0.9147000000000001,0.9148000000000001,0.9149,0.915,0.9151,0.9152,0.9153,0.9154,0.9155,0.9156,0.9157,0.9158,0.9159,0.916,0.9161,0.9162,0.9163,0.9164,0.9165000000000001,0.9166000000000001,0.9167000000000001,0.9168000000000001,0.9169,0.917,0.9171,0.9172,0.9173,0.9174,0.9175,0.9176,0.9177,0.9178,0.9178999999999999,0.918,0.9181,0.9182,0.9183,0.9184,0.9185000000000001,0.9186000000000001,0.9187000000000001,0.9188000000000001,0.9189,0.919,0.9191,0.9192,0.9193,0.9194,0.9195,0.9196,0.9197,0.9198,0.9198999999999999,0.92,0.9201,0.9202,0.9203,0.9204,0.9205000000000001,0.9206000000000001,0.9207000000000001,0.9208000000000001,0.9209,0.921,0.9211,0.9212,0.9213,0.9214,0.9215,0.9216,0.9217,0.9218,0.9218999999999999,0.922,0.9221,0.9222,0.9223,0.9224,0.9225000000000001,0.9226000000000001,0.9227000000000001,0.9228000000000001,0.9229,0.923,0.9231,0.9232,0.9233,0.9234,0.9235,0.9236,0.9237,0.9238,0.9238999999999999,0.924,0.9241,0.9242,0.9243,0.9244,0.9245000000000001,0.9246000000000001,0.9247000000000001,0.9248000000000001,0.9249,0.925,0.9251,0.9252,0.9253,0.9254,0.9255,0.9256,0.9257,0.9258,0.9259,0.926,0.9261,0.9262,0.9263,0.9264,0.9265000000000001,0.9266000000000001,0.9267000000000001,0.9268000000000001,0.9269000000000001,0.927,0.9271,0.9272,0.9273,0.9274,0.9275,0.9276,0.9277,0.9278,0.9279,0.928,0.9281,0.9282,0.9283,0.9284,0.9285000000000001,0.9286000000000001,0.9287000000000001,0.9288000000000001,0.9289000000000001,0.929,0.9291,0.9292,0.9293,0.9294,0.9295,0.9296,0.9297,0.9298,0.9299,0.9299999999999999,0.9301,0.9302,0.9303,0.9304,0.9305,0.9306000000000001,0.9307000000000001,0.9308000000000001,0.9309000000000001,0.931,0.9311,0.9312,0.9313,0.9314,0.9315,0.9316,0.9317,0.9318,0.9319,0.9319999999999999,0.9321,0.9322,0.9323,0.9324,0.9325,0.9326000000000001,0.9327000000000001,0.9328000000000001,0.9329000000000001,0.933,0.9331,0.9332,0.9333,0.9334,0.9335,0.9336,0.9337,0.9338,0.9339,0.9339999999999999,0.9341,0.9342,0.9343,0.9344,0.9345,0.9346000000000001,0.9347000000000001,0.9348000000000001,0.9349000000000001,0.935,0.9351,0.9352,0.9353,0.9354,0.9355,0.9356,0.9357,0.9358,0.9359,0.9359999999999999,0.9361,0.9362,0.9363,0.9364,0.9365,0.9366000000000001,0.9367000000000001,0.9368000000000001,0.9369000000000001,0.937,0.9371,0.9372,0.9373,0.9374,0.9375,0.9376,0.9377,0.9378,0.9379,0.938,0.9381,0.9382,0.9383,0.9384,0.9385,0.9386000000000001,0.9387000000000001,0.9388000000000001,0.9389000000000001,0.9390000000000001,0.9391,0.9392,0.9393,0.9394,0.9395,0.9396,0.9397,0.9398,0.9399,0.94,0.9401,0.9402,0.9403,0.9404,0.9405,0.9406000000000001,0.9407000000000001,0.9408000000000001,0.9409000000000001,0.9410000000000001,0.9411,0.9412,0.9413,0.9414,0.9415,0.9416,0.9417,0.9418,0.9419,0.942,0.9421,0.9422,0.9423,0.9424,0.9425,0.9426000000000001,0.9427000000000001,0.9428000000000001,0.9429000000000001,0.9430000000000001,0.9431,0.9432,0.9433,0.9434,0.9435,0.9436,0.9437,0.9438,0.9439,0.944,0.9440999999999999,0.9442,0.9443,0.9444,0.9445,0.9446,0.9447000000000001,0.9448000000000001,0.9449000000000001,0.9450000000000001,0.9451,0.9452,0.9453,0.9454,0.9455,0.9456,0.9457,0.9458,0.9459,0.946,0.9460999999999999,0.9462,0.9463,0.9464,0.9465,0.9466,0.9467000000000001,0.9468000000000001,0.9469000000000001,0.9470000000000001,0.9471,0.9472,0.9473,0.9474,0.9475,0.9476,0.9477,0.9478,0.9479,0.948,0.9480999999999999,0.9482,0.9483,0.9484,0.9485,0.9486,0.9487000000000001,0.9488000000000001,0.9489000000000001,0.9490000000000001,0.9491,0.9492,0.9493,0.9494,0.9495,0.9496,0.9497,0.9498,0.9499,0.95,0.9501,0.9502,0.9503,0.9504,0.9505,0.9506,0.9507000000000001,0.9508000000000001,0.9509000000000001,0.9510000000000001,0.9511000000000001,0.9512,0.9513,0.9514,0.9515,0.9516,0.9517,0.9518,0.9519,0.952,0.9521,0.9522,0.9523,0.9524,0.9525,0.9526,0.9527000000000001,0.9528000000000001,0.9529000000000001,0.9530000000000001,0.9531000000000001,0.9532,0.9533,0.9534,0.9535,0.9536,0.9537,0.9538,0.9539,0.954,0.9541,0.9542,0.9543,0.9544,0.9545,0.9546,0.9547000000000001,0.9548000000000001,0.9549000000000001,0.9550000000000001,0.9551000000000001,0.9552,0.9553,0.9554,0.9555,0.9556,0.9557,0.9558,0.9559,0.956,0.9561,0.9561999999999999,0.9563,0.9564,0.9565,0.9566,0.9567,0.9568000000000001,0.9569000000000001,0.9570000000000001,0.9571000000000001,0.9572,0.9573,0.9574,0.9575,0.9576,0.9577,0.9578,0.9579,0.958,0.9581,0.9581999999999999,0.9583,0.9584,0.9585,0.9586,0.9587,0.9588000000000001,0.9589000000000001,0.9590000000000001,0.9591000000000001,0.9592,0.9593,0.9594,0.9595,0.9596,0.9597,0.9598,0.9599,0.96,0.9601,0.9601999999999999,0.9603,0.9604,0.9605,0.9606,0.9607,0.9608000000000001,0.9609000000000001,0.9610000000000001,0.9611000000000001,0.9612,0.9613,0.9614,0.9615,0.9616,0.9617,0.9618,0.9619,0.962,0.9621,0.9621999999999999,0.9623,0.9624,0.9625,0.9626,0.9627,0.9628000000000001,0.9629000000000001,0.9630000000000001,0.9631000000000001,0.9632000000000001,0.9633,0.9634,0.9635,0.9636,0.9637,0.9638,0.9639,0.964,0.9641,0.9642,0.9643,0.9644,0.9645,0.9646,0.9647,0.9648000000000001,0.9649000000000001,0.9650000000000001,0.9651000000000001,0.9652000000000001,0.9653,0.9654,0.9655,0.9656,0.9657,0.9658,0.9659,0.966,0.9661,0.9662,0.9663,0.9664,0.9665,0.9666,0.9667,0.9668000000000001,0.9669000000000001,0.9670000000000001,0.9671000000000001,0.9672000000000001,0.9673,0.9674,0.9675,0.9676,0.9677,0.9678,0.9679,0.968,0.9681,0.9682,0.9683,0.9684,0.9685,0.9686,0.9687,0.9688000000000001,0.9689000000000001,0.9690000000000001,0.9691000000000001,0.9692000000000001,0.9693,0.9694,0.9695,0.9696,0.9697,0.9698,0.9699,0.97,0.9701,0.9702,0.9702999999999999,0.9704,0.9705,0.9706,0.9707,0.9708,0.9709000000000001,0.9710000000000001,0.9711000000000001,0.9712000000000001,0.9713,0.9714,0.9715,0.9716,0.9717,0.9718,0.9719,0.972,0.9721,0.9722,0.9722999999999999,0.9724,0.9725,0.9726,0.9727,0.9728,0.9729000000000001,0.9730000000000001,0.9731000000000001,0.9732000000000001,0.9733,0.9734,0.9735,0.9736,0.9737,0.9738,0.9739,0.974,0.9741,0.9742,0.9742999999999999,0.9744,0.9745,0.9746,0.9747,0.9748,0.9749000000000001,0.9750000000000001,0.9751000000000001,0.9752000000000001,0.9753000000000001,0.9754,0.9755,0.9756,0.9757,0.9758,0.9759,0.976,0.9761,0.9762,0.9763,0.9764,0.9765,0.9766,0.9767,0.9768,0.9769000000000001,0.9770000000000001,0.9771000000000001,0.9772000000000001,0.9773000000000001,0.9774,0.9775,0.9776,0.9777,0.9778,0.9779,0.978,0.9781,0.9782,0.9783,0.9784,0.9785,0.9786,0.9787,0.9788,0.9789000000000001,0.9790000000000001,0.9791000000000001,0.9792000000000001,0.9793000000000001,0.9794,0.9795,0.9796,0.9797,0.9798,0.9799,0.98,0.9801,0.9802,0.9803,0.9804,0.9805,0.9806,0.9807,0.9808,0.9809000000000001,0.9810000000000001,0.9811000000000001,0.9812000000000001,0.9813000000000001,0.9814,0.9815,0.9816,0.9817,0.9818,0.9819,0.982,0.9821,0.9822,0.9823,0.9823999999999999,0.9825,0.9826,0.9827,0.9828,0.9829,0.9830000000000001,0.9831000000000001,0.9832000000000001,0.9833000000000001,0.9834,0.9835,0.9836,0.9837,0.9838,0.9839,0.984,0.9841,0.9842,0.9843,0.9843999999999999,0.9845,0.9846,0.9847,0.9848,0.9849,0.9850000000000001,0.9851000000000001,0.9852000000000001,0.9853000000000001,0.9854,0.9855,0.9856,0.9857,0.9858,0.9859,0.986,0.9861,0.9862,0.9863,0.9863999999999999,0.9865,0.9866,0.9867,0.9868,0.9869,0.9870000000000001,0.9871000000000001,0.9872000000000001,0.9873000000000001,0.9874,0.9875,0.9876,0.9877,0.9878,0.9879,0.988,0.9881,0.9882,0.9883,0.9884,0.9885,0.9886,0.9887,0.9888,0.9889,0.9890000000000001,0.9891000000000001,0.9892000000000001,0.9893000000000001,0.9894000000000001,0.9895,0.9896,0.9897,0.9898,0.9899,0.99,0.9901,0.9902,0.9903,0.9904,0.9905,0.9906,0.9907,0.9908,0.9909,0.9910000000000001,0.9911000000000001,0.9912000000000001,0.9913000000000001,0.9914000000000001,0.9915,0.9916,0.9917,0.9918,0.9919,0.992,0.9921,0.9922,0.9923,0.9924,0.9925,0.9926,0.9927,0.9928,0.9929,0.9930000000000001,0.9931000000000001,0.9932000000000001,0.9933000000000001,0.9934000000000001,0.9935,0.9936,0.9937,0.9938,0.9939,0.994,0.9941,0.9942,0.9943,0.9944,0.9945,0.9946,0.9947,0.9948,0.9949,0.9950000000000001,0.9951000000000001,0.9952000000000001,0.9953000000000001,0.9954000000000001,0.9955,0.9956,0.9957,0.9958,0.9959,0.996,0.9961,0.9962,0.9963,0.9964,0.9964999999999999,0.9966,0.9967,0.9968,0.9969,0.997,0.9971000000000001,0.9972000000000001,0.9973000000000001,0.9974000000000001,0.9975,0.9976,0.9977,0.9978,0.9979,0.998,0.9981,0.9982,0.9983,0.9984,0.9984999999999999,0.9986,0.9987,0.9988,0.9989,0.999,0.9991000000000001,0.9992000000000001,0.9993000000000001,0.9994000000000001,0.9995,0.9996,0.9997,0.9998,0.9999,1.0],\\\"y\\\":[0.9977828742283905,0.9977810259191574,0.9977791776099241,0.9977773293006909,0.9977754809914575,0.9977736326822243,0.997771784372991,0.9977699360637577,0.9977680877545245,0.9977662394452912,0.9977643911360579,0.9977625428268246,0.9977606945175914,0.9977588462083582,0.997756997899125,0.9977551495898915,0.9977533012806583,0.9977514529714251,0.9977496046621919,0.9977477563529585,0.9977459080437253,0.997744059734492,0.9977422114252588,0.9977403631160254,0.9977385148067923,0.9977366664975589,0.9977348181883257,0.9977329408403558,0.997731055628858,0.9977291704173601,0.9977272852058623,0.9977253999943645,0.9977235147828666,0.9977216295713688,0.9977197443598709,0.9977178591483731,0.9977159739368753,0.9977140887253775,0.9977122035138796,0.9977103183023817,0.9977084330908839,0.9977065478793861,0.997704662667888,0.9977027774563902,0.9977008922448924,0.9976990070333946,0.9976971218218967,0.9976952366103988,0.997693351398901,0.9976914661874032,0.9976895809759054,0.9976876957644075,0.9976858105529096,0.9976839253414118,0.997682040129914,0.9976801549184161,0.9976782697069183,0.9976768401436028,0.9976755345142838,0.9976742288849646,0.9976729232556454,0.9976716176263263,0.9976703119970072,0.997669006367688,0.9976677007383687,0.9976663951090498,0.9976650894797305,0.9976637838504114,0.9976624782210923,0.997661172591773,0.9976598669624539,0.9976585613331348,0.9976572557038157,0.9976559500744965,0.9976546444451773,0.9976533388158582,0.9976520331865391,0.9976507275572198,0.9976494219279007,0.9976481162985815,0.9976468106692624,0.9976455050399433,0.9976441994106241,0.997642893781305,0.9976415881519858,0.9976402825226667,0.9976389768933474,0.9976376712640282,0.9976363656347091,0.99763506000539,0.9976337543760708,0.9976324487467516,0.9976311431174326,0.9976298374881134,0.9976285318587943,0.9976272262294752,0.997625920600156,0.9976246149708368,0.9976233093415177,0.9976220037121986,0.9976206980828793,0.9976193924535603,0.997618086824241,0.9976167811949219,0.9976154755656027,0.9976141699362836,0.9976128643069646,0.9976115586776453,0.9976102530483262,0.997608947419007,0.9976076417896879,0.9976063361603686,0.9976050305310495,0.9976037249017304,0.9976024192724111,0.9976011136430921,0.9975998080137729,0.9975984973337735,0.9975971734084161,0.9975958494830589,0.9975945255577015,0.9975932016323443,0.997591877706987,0.9975905537816296,0.9975892298562723,0.997587905930915,0.9975865820055578,0.9975852580802005,0.9975839341548431,0.9975826102294858,0.9975812863041285,0.9975799623787712,0.997578638453414,0.9975773145280566,0.9975759906026993,0.997574666677342,0.9975733427519847,0.9975720188266274,0.9975706592312108,0.9975688678560537,0.9975670764808968,0.9975652851057398,0.9975634937305828,0.9975617023554257,0.9975599109802689,0.997558119605112,0.9975563282299549,0.9975545368547979,0.9975527454796409,0.9975509723763836,0.997549803684066,0.9975478082874347,0.9975457066801817,0.9975437886038562,0.9975419972286992,0.9975402058535423,0.9975384144783852,0.9975366231032282,0.9975348317280713,0.9975330403529143,0.9975312489777574,0.9975294576026004,0.9975276662274435,0.9975258748522864,0.9975240834771295,0.9975222921019725,0.9975205007268155,0.9975187093516587,0.9975169179765015,0.9975151266013447,0.9975133352261877,0.9975115438510307,0.9975097524758738,0.9975079611007167,0.9975061697255598,0.9975043783504028,0.9975025869752459,0.9975007956000888,0.9974990042249319,0.997497212849775,0.9974954214746179,0.997493630099461,0.9974918387243039,0.997490047349147,0.9974882559739902,0.9974864645988331,0.9974846915554837,0.9974834176474648,0.9974821437394461,0.997480869831427,0.9974795959234082,0.9974783220153894,0.9974770481073706,0.9974757741993516,0.9974745002913329,0.9974732263833139,0.9974719524752951,0.9974706785672762,0.9974694046592574,0.9974681307512385,0.9974668568432197,0.9974655829352008,0.9974643090271819,0.9974630351191631,0.9974617612111442,0.9974604873031252,0.9974591764564789,0.9974577472100191,0.9974563179635594,0.9974548887170998,0.9974534594706399,0.9974520302241802,0.9974506009777205,0.9974491717312608,0.997447742484801,0.9974463132383413,0.9974448839918817,0.9974434547454218,0.9974420254989621,0.9974405962525024,0.9974391670060427,0.9974377377595829,0.9974363085131233,0.9974348792666635,0.9974334500202038,0.9974320207737442,0.9974305915272843,0.9974291622808247,0.9974277330343648,0.9974263037879052,0.9974248745414453,0.9974234452949857,0.9974220160485259,0.9974205868020662,0.9974191575556066,0.9974177283091469,0.997416299062687,0.9974148698162274,0.9974134405697677,0.9974120113233079,0.9974105820768482,0.9974091528303886,0.9974077235839287,0.9974062943374691,0.9974048650910093,0.9974034358445496,0.9974020065980898,0.9974005773516301,0.9973991481051704,0.9973977188587106,0.9973962896122509,0.9973948603657912,0.9973934311193315,0.9973920018728717,0.997390572626412,0.9973891407016695,0.9973877071774695,0.9973862736532695,0.9973848401290696,0.9973832205638415,0.9973796298667521,0.9973760391696629,0.9973724484725736,0.9973688577754842,0.9973652670783948,0.9973616763813056,0.9973580856842164,0.9973544949871269,0.9973509042900377,0.9973485192476232,0.9973464259139231,0.9973432419524262,0.9973400579909295,0.9973368740294326,0.9973336900679357,0.997330506106439,0.9973273221449421,0.9973241381834452,0.9973209542219483,0.9973177702604517,0.9973145862989548,0.9973114023374579,0.997308218375961,0.9973050344144642,0.9973018504529674,0.9972986664914705,0.9972954825299737,0.9972922985684769,0.9972891146069799,0.9972859306454831,0.9972827466839863,0.9972795627224894,0.9972763787609926,0.9972743302735836,0.997273064525544,0.9972717987775044,0.9972705330294647,0.9972687010615902,0.9972667655281797,0.9972648299947694,0.9972628944613591,0.9972609589279486,0.9972590233945383,0.997257087861128,0.9972551523277176,0.9972532167943073,0.9972512812608969,0.9972493457274867,0.9972474101940763,0.9972454746606659,0.9972435391272555,0.9972416035938452,0.997239668060435,0.9972377325270245,0.9972357969936141,0.9972338614602039,0.9972319259267935,0.9972299903933831,0.9972280548599728,0.9972261193265624,0.9972241837931521,0.9972222482597417,0.9972203127263315,0.9972183771929211,0.9972164416595107,0.9972149498632876,0.9972137215802906,0.9972124932972937,0.9972112650142967,0.9972100367312997,0.9972088084483026,0.9972075801653058,0.9972063518823088,0.9972051235993118,0.9972038953163147,0.9972026275740747,0.9972011528497642,0.9971996781254537,0.9971982034011433,0.9971967286768327,0.9971952539525222,0.9971937792282116,0.9971923045039011,0.9971908297795906,0.9971893550552802,0.9971878803309696,0.9971864056066589,0.9971842082069695,0.9971816086671466,0.9971790091273236,0.9971764095875006,0.9971738100476775,0.9971712105078545,0.9971686109680316,0.9971660114282086,0.9971634118883855,0.9971605129336993,0.9971575211977165,0.9971545294617337,0.997151537725751,0.9971490754566013,0.9971470862604503,0.9971450970642994,0.9971431078681485,0.9971411186719975,0.9971391294758466,0.9971371402796957,0.9971351510835449,0.9971331618873939,0.9971311726912429,0.9971291834950919,0.997127194298941,0.9971252051027901,0.9971232159066392,0.9971212267104883,0.9971192375143374,0.9971172483181865,0.9971152591220356,0.9971132699258847,0.9971112807297338,0.9971092915335827,0.9971073023374317,0.9971053131412808,0.9971033239451299,0.997101334748979,0.9970993455528281,0.9970973563566772,0.9970953671605263,0.9970933779643754,0.9970913887682245,0.9970893995720735,0.9970874103759226,0.997085668930032,0.9970840405864498,0.9970824122428676,0.9970807838992854,0.9970791555557031,0.997077527212121,0.9970758988685388,0.9970742705249566,0.9970726421813743,0.9970710138377921,0.9970693854942099,0.9970677571506275,0.9970661288070453,0.9970645004634631,0.9970628721198809,0.997061333865875,0.9970600061546306,0.9970586572193039,0.9970569923517827,0.9970551459376323,0.997053299523482,0.9970514531093316,0.9970496066951813,0.9970477602810308,0.9970459138668806,0.9970440674527303,0.9970422210385799,0.9970403746244294,0.9970385282102792,0.9970366817961289,0.9970348353819785,0.9970329889678281,0.9970311425536778,0.9970292961395274,0.9970274497253772,0.9970256033112267,0.9970237568970763,0.9970219771837603,0.9970202656004151,0.99701855401707,0.9970168424337249,0.9970151308503798,0.9970134192670346,0.9970117076836895,0.9970099961003445,0.9970080482358736,0.9970060062046501,0.9970039641734266,0.9970019221422031,0.9969998801109795,0.9969978380797561,0.9969957960485325,0.996993754017309,0.9969917495916588,0.9969897602867409,0.9969877709818229,0.996985781676905,0.9969837923719871,0.9969818030670692,0.996979483961522,0.9969771159403841,0.9969747479192461,0.996972379898108,0.99697001187697,0.9969676438558319,0.9969652758346941,0.9969629078135559,0.9969605397924179,0.9969581717712801,0.996955803750142,0.996953435729004,0.9969510677078659,0.9969486996867278,0.99694633166559,0.9969439636444519,0.996941595623314,0.9969392276021758,0.996936859581038,0.9969344915598999,0.9969321235387619,0.996929755517624,0.9969275252342049,0.996925444984865,0.9969233834430098,0.9969213551204735,0.996919326797937,0.9969172984754007,0.9969152701528642,0.9969132418303279,0.9969112135077913,0.996909185185255,0.9969071568627186,0.9969051285401822,0.9969031002176457,0.9969010718951093,0.9968985185892337,0.9968948874637339,0.9968912098871877,0.9968876547025483,0.9968848320410708,0.9968820093795935,0.9968791867181159,0.9968763640566386,0.9968735413951612,0.9968707187336838,0.9968678960722064,0.9968650734107289,0.9968622507492515,0.9968594280877741,0.9968566054262966,0.9968537827648192,0.9968512195302565,0.9968488289717193,0.9968464384131821,0.9968440478546452,0.9968416572961081,0.996839266737571,0.9968368761790339,0.9968344856204967,0.9968323339675731,0.9968311990012919,0.9968300640350106,0.9968288830496708,0.9968276880852751,0.9968264931208795,0.996825298156484,0.9968241031920884,0.9968229082276927,0.9968217132632973,0.9968205182989016,0.9968193233345062,0.9968181283701106,0.9968170914740199,0.9968158746063212,0.9968146370628889,0.9968133995194567,0.9968121619760246,0.9968109244325924,0.9968096868891603,0.9968084493457281,0.9968072118022959,0.9968059742588637,0.9968047379555623,0.996803509786305,0.9968022816170479,0.9968010534477908,0.9967998252785337,0.9967985971092765,0.9967973689400192,0.9967961407707621,0.996794912601505,0.9967936844322478,0.9967922752668912,0.9967903770349327,0.9967884788029742,0.9967865805710157,0.9967846823390571,0.9967827841070986,0.9967808858751401,0.9967788465925158,0.9967764756265929,0.9967741046606702,0.9967717926920865,0.9967697909366888,0.9967677891812912,0.9967657874258936,0.996763785670496,0.9967617839150984,0.9967597821597007,0.9967575360503784,0.9967552461048934,0.9967529561594082,0.9967506662139232,0.9967483762684382,0.9967460863229531,0.9967437433006955,0.9967413860976801,0.9967390288946647,0.9967365539677859,0.9967338354319513,0.9967311168961169,0.9967283983602825,0.9967256798244479,0.9967229673755003,0.9967207301093834,0.9967184928432666,0.9967162555771498,0.9967140183110331,0.9967117810449163,0.9967091330279274,0.9967064839229878,0.9967038348180479,0.9967013315890072,0.9966995346188303,0.9966976863571678,0.9966958380955054,0.9966939898338432,0.9966921415721808,0.9966902933105184,0.9966884450488558,0.9966865967871934,0.996684748525531,0.9966829002638686,0.9966810520022064,0.996677813651804,0.9966745221131864,0.9966712305745687,0.9966667851119697,0.9966622884259815,0.9966577917399932,0.996653295054005,0.9966487983680167,0.9966443016820286,0.9966422424597063,0.9966404508992526,0.9966390263505931,0.9966376018019334,0.9966361772532737,0.9966347527046142,0.9966333281559545,0.9966319036072948,0.9966304790586351,0.9966290545099754,0.9966276299613158,0.9966262054126561,0.9966247808639966,0.9966230472435793,0.9966211773826227,0.9966193271319898,0.9966174768813568,0.996615626630724,0.9966137763800911,0.9966119321660205,0.9966102365000978,0.9966085408341752,0.9966068063209875,0.9966045123703533,0.9966022184197187,0.9965999244690844,0.9965976305184501,0.9965953365678155,0.9965930426171812,0.9965907486665468,0.9965884547159125,0.996586172140526,0.9965840028778653,0.9965818336152046,0.9965799330394267,0.9965784363645628,0.996576939689699,0.9965756258427698,0.9965744997691071,0.9965733736954442,0.9965722476217813,0.9965711215481184,0.9965689859608595,0.9965667706513425,0.9965645553418252,0.9965623400323081,0.9965601247227911,0.996556900594503,0.996553426713227,0.9965499528319511,0.9965464789506752,0.9965430050693993,0.9965395311881233,0.9965360573068471,0.9965318470526767,0.9965271468660882,0.9965224466794997,0.9965177464929114,0.9965130463063228,0.9965083461197344,0.9965054472870827,0.996503505287545,0.9965015632880074,0.9964996212884697,0.996497679288932,0.9964957372893943,0.9964940163259643,0.996492347851111,0.9964906793762576,0.9964890109014041,0.9964865217106549,0.996483575697648,0.9964798488669988,0.9964761220363497,0.9964731201447731,0.9964713462935981,0.9964695724424232,0.9964669532857899,0.9964642903862619,0.9964616274867338,0.9964590340627404,0.9964555464928335,0.996453799786877,0.9964520530809204,0.9964503063749639,0.9964485596690074,0.9964466364679877,0.9964449130806738,0.9964431896933601,0.9964414663060465,0.9964397429187327,0.9964379370326433,0.996434555197668,0.9964311733626927,0.9964275796702484,0.9964238906575724,0.9964216450587495,0.9964193994599266,0.9964171538611036,0.9964136712021836,0.996409753785864,0.996406273765643,0.9964027937454221,0.9963993137252011,0.9963958337049801,0.9963922250309639,0.9963878609437853,0.9963834693709903,0.9963790777981953,0.9963746862254002,0.9963717050808328,0.9963693742967555,0.996367043512678,0.9963647127286007,0.9963620079772215,0.9963589671782987,0.996355926379376,0.9963532423989775,0.9963507033391044,0.9963477947499565,0.9963445193349181,0.9963398583734049,0.9963346635314713,0.9963294686895376,0.9963242738476039,0.9963190790056704,0.996314241231777,0.9963087680122591,0.9963019822607102,0.9962951965091612,0.9962884107576123,0.9962845925469203,0.9962829616225194,0.9962814737972393,0.9962799859719593,0.9962784981466792,0.9962770103213991,0.9962755224961191,0.9962748124482315,0.9962739997510233,0.9962726116444812,0.9962712213789282,0.9962691550642468,0.996266286544325,0.996261457570875,0.9962566285974251,0.9962517996239753,0.9962469706505255,0.99624319739182,0.9962395090265729,0.9962377166173018,0.9962356256823314,0.9962332367268911,0.9962308752503926,0.9962287522981703,0.9962266293459481,0.9962245063937258,0.9962225056011301,0.9962205223602878,0.9962185391194452,0.9962165682095473,0.9962154243049623,0.996214670105172,0.9962139159053817,0.9962131617055914,0.996212499468253,0.9962118908729642,0.9962113513357822,0.9962108117985999,0.9962102722614179,0.9962077185149917,0.9962042736469117,0.9962006993397214,0.9961971250325312,0.9961935507253412,0.9961893806524602,0.9961863014421017,0.9961832222317433,0.9961801430213849,0.9961761341616553,0.9961720202294717,0.9961702143377691,0.9961684084460665,0.9961666025543638,0.9961643138254168,0.9961616256407352,0.9961589374560533,0.9961562492713716,0.9961549367276998,0.9961538543110047,0.9961531502630433,0.996153037372832,0.9961529244826207,0.9961505553098756,0.9961473720556542,0.9961442060281311,0.9961412520924329,0.9961382981567346,0.9961353442210364,0.9961322386560417,0.9961300226621959,0.9961282031682044,0.9961263836742127,0.9961228731661802,0.9961188544289654,0.9961148356917509,0.9961108169545361,0.9961076174973136,0.9961019062710457,0.9960951312331825,0.9960889849496706,0.9960828386661587,0.9960774027688196,0.996075606258688,0.9960738097485566,0.9960720274556709,0.9960702507928639,0.9960684709799246,0.9960666911669853,0.9960646638330131,0.9960600343009549,0.9960553836843855,0.9960511460740216,0.9960471035734269,0.996044056017976,0.996041606421981,0.996041235193353,0.996040907731602,0.996040120476497,0.9960393028037824,0.9960384851310677,0.9960374460185446,0.9960350706855952,0.9960326953526457,0.9960310967553158,0.9960301437086005,0.9960291906618852,0.9960274192282059,0.9960241343026277,0.9960205348522723,0.9960163305768339,0.9960120963609341,0.9960073200085398,0.9960047978170776,0.9960032983999267,0.9960016071025938,0.9959997428414452,0.995997886082679,0.9959959134342409,0.9959939531638429,0.9959920308978437,0.9959886831285906,0.9959846922423576,0.9959807013561247,0.9959768342232893,0.9959737679669818,0.9959711073309631,0.9959677088484551,0.9959643103659473,0.9959609118834394,0.9959584936224788,0.9959557968359067,0.9959511970727979,0.995946714392052,0.9959444240993174,0.9959421338065829,0.995939878295768,0.9959392921374568,0.9959388277859402,0.9959365580565323,0.9959349075989492,0.9959343175204629,0.9959326431349846,0.9959275159930749,0.9959232209494606,0.995920702121686,0.9959194849814077,0.9959183560532174,0.9959171770415091,0.9959159980298007,0.995908633185284,0.9958993671519171,0.9958856010512778,0.9958785924097215,0.9958732888977804,0.9958712346935331,0.9958692638388047,0.9958670203300193,0.9958627952709033,0.9958595516712325,0.9958582462100614,0.9958556019860076,0.9958528277738168,0.9958500535616259,0.9958466002290827,0.995842691841188,0.9958297654455659,0.9958128164892441,0.9957979656735554,0.9957920610658638,0.9957891473041868,0.9957823768786527,0.9957763171729779,0.9957717861251814,0.9957707091385845,0.9957673678401427,0.9957635639290985,0.9957614860918953,0.9957580960535491,0.9957543665467056,0.9957537834109317,0.9957525556742851,0.995750195641341,0.9957470810533644,0.9957440088257916,0.9957402768409256,0.9957357206915332,0.9957307547583205,0.9957258817923993,0.9957243472897541,0.995723549732832,0.9957228824868467,0.9957214706000086,0.9957196764884122,0.9957180491248041,0.9957166682809582,0.9957137680699266,0.9957097237355251,0.9957054812120992,0.9957038905998272,0.9957013250870715,0.9956972116353502,0.9956906259044322,0.9956838625629261,0.9956785342125737,0.9956763053781815,0.9956747509201116,0.9956729810476994,0.9956710715769367,0.9956702789937326,0.9956682667796537,0.995666224021317,0.9956660795080443,0.9956649757778573,0.9956613378743264,0.995657814718296,0.9956541660305823,0.9956519570390182,0.995649729125274,0.9956474987089146,0.9956403523275256,0.9956346306988659,0.9956319647979321,0.9956284454638904,0.9956229363560978,0.9956192423216205,0.9956158805075912,0.9956156404764569,0.9956135587049098,0.9956115915504665,0.9956096168527417,0.9956075719129787,0.9956061953887185,0.9956042011636771,0.9956020474515248,0.9955979018437765,0.9955932926424516,0.9955872918809949,0.9955807738509572,0.9955770719856549,0.9955741548257776,0.9955713832038964,0.9955659452432358,0.9955562474207197,0.9955468731329693,0.9955427787622229,0.9955405585072636,0.9955385979168418,0.9955326679312437,0.9955273761524611,0.9955242717862357,0.9955227339187045,0.9955177407514264,0.9955149384532679,0.9955122938317188,0.9955078551239143,0.9955012403214032,0.9954943716679319,0.9954895138747173,0.9954884944734425,0.9954855805739904,0.9954820626253855,0.9954798197286008,0.9954778800484321,0.9954760049621876,0.9954748189665266,0.9954710384924624,0.9954659073219614,0.9954622748273206,0.995460697328236,0.9954569536114337,0.9954522452707458,0.9954477504310435,0.9954441516532859,0.995441535264872,0.9954374954219612,0.995431065730635,0.9954273115584524,0.9954246932296973,0.9954194416717231,0.9954147556111357,0.9954113477429595,0.9954089363292081,0.9954066530869303,0.9954042282580469,0.9954019834327598,0.9953987154820633,0.99539052965045,0.9953837551016893,0.995380622207084,0.9953799382072915,0.9953794417429589,0.9953788449147591,0.9953787373983567,0.9953780607924145,0.9953771499213675,0.9953759457652204,0.995368230382772,0.9953580657796764,0.9953525191987866,0.9953445067754259,0.9953331880810774,0.9953250126005807,0.99532342739292,0.9953218421852592,0.9953183845748481,0.9953126176336611,0.995306812812845,0.9952993394225719,0.9952899325803605,0.995283434145384,0.995279515044581,0.9952732270023541,0.9952735016667401,0.9952730160428257,0.9952726558092507,0.9952707289250061,0.9952634928610061,0.9952552502360643,0.9952507153714771,0.99524664969672,0.99524305194377,0.9952392264474029,0.9952349392290496,0.9952306077870317,0.995226371691351,0.9952179775833929,0.9952016273902469,0.9951880112197957,0.9951829115347257,0.9951795472405016,0.9951728154380965,0.9951674821508545,0.9951665688042801,0.9951655008788667,0.9951627942254524,0.9951620721708503,0.9951587318434589,0.9951555307227258,0.9951526618404353,0.9951491704213385,0.9951455033600144,0.995143303405163,0.9951417291474172,0.9951406480421754,0.9951406423721718,0.9951405210373461,0.9951370530906319,0.9951354514769868,0.9951319496475343,0.9951271519117626,0.995121399323627,0.9951166495088148,0.9951152774960057,0.9951150424516269,0.9951127178927168,0.9951095947220223,0.9951053487967458,0.9951022213963203,0.9951005154216737,0.9950946403683405,0.9950847820442543,0.995082612429416,0.9950815520000492,0.9950743515470086,0.9950695127466225,0.9950676056358432,0.9950622485647602,0.9950578025448908,0.9950565852391065,0.9950548481466333,0.9950522429662598,0.9950471985069297,0.9950451144648276,0.9950442195560405,0.9950445931122284,0.9950443136231997,0.9950349230267368,0.9950161511264641,0.9950138212920494,0.995007532512735,0.9950043251747089,0.9950006813415246,0.9949977014563023,0.9949963743321784,0.9949915901230454,0.9949806916763577,0.9949588673875592,0.9949500446440236,0.9949450924028393,0.9949385372133501,0.9949354867246811,0.9949331503065157,0.9949287003010888,0.9949208840546868,0.9949208583751945,0.9949200527979462,0.9949142034304722,0.994908920942049,0.9949064984297137,0.9949058722715193,0.9949019163059019,0.9948957539601961,0.9948849795643071,0.9948829530126473,0.9948744557373685,0.9948604320544141,0.9948501083168835,0.9948434241170419,0.9948401042921239,0.9948381527119674,0.9948332643543742,0.9948306435270764,0.9948245431905192,0.9948174442551002,0.9948117601607893,0.9948039228492815,0.9947809696976254,0.9947744660414657,0.9947722190412686,0.9947649359695966,0.994761306818267,0.99475879931751,0.9947548399248676,0.9947479878478144,0.9947436003965786,0.99473991322229,0.9947351081633702,0.9947309448495454,0.9947277919478955,0.994724906954056,0.9947226208717859,0.9947196949502846,0.9947157027045137,0.9947113383156014,0.9947061855629254,0.9947027752586235,0.9946953666033571,0.9946898018612875,0.9946868844477286,0.9946845383880689,0.9946827634631155,0.9946802737230573,0.9946772873849455,0.9946660128051132,0.9946562755142918,0.9946474145023954,0.994640398722477,0.994635510762738,0.9946326307203144,0.9946291559605409,0.9946261305995527,0.9946190798324606,0.9946131415104231,0.9946088258421194,0.9946040122545172,0.994601972849751,0.9945985219749154,0.9945959681028845,0.9945921758272256,0.9945884151107349,0.9945871039615403,0.9945841034079443,0.9945744029641774,0.9945673876435281,0.9945667413559921,0.9945648664120155,0.9945602069240209,0.9945546156810556,0.9945467357433189,0.9945343786266638,0.9945315274580675,0.9945286377559218,0.9945258744669652,0.9945198945823626,0.9945133639333117,0.9945097585875797,0.9945060227387303,0.9944980332082085,0.9944934832686756,0.994491869253477,0.994478497280629,0.9944718304675277,0.9944683241085611,0.9944617132396318,0.9944572643404208,0.9944524546770376,0.9944448235484376,0.9944377064783828,0.9944333378219931,0.9944282490618988,0.9944185300080682,0.9944137941160638,0.994411369975655,0.9944073012444157,0.9944003546226688,0.9943937839689159,0.9943872264836966,0.9943762976177892,0.9943692956229038,0.9943627052084206,0.9943596139692075,0.9943588445757481,0.9943559774896049,0.9943520378728784,0.9943497301974414,0.9943466112074788,0.9943426741055683,0.994339131370661,0.9943359915667954,0.9943339067583151,0.9943313307832293,0.9943186665272735,0.9942992722332228,0.9942942186792995,0.9942918209604541,0.9942902573069947,0.9942871341035661,0.9942852723666753,0.9942786534335839,0.9942691087049309,0.9942634739629889,0.9942586507031599,0.9942549174343099,0.9942519678741991,0.9942474135762949,0.9942412285273287,0.9942367622670792,0.9942329896924368,0.9942296004116762,0.9942234549939135,0.9942155141546605,0.9942036122198253,0.9941926385592654,0.9941885736830536,0.9941831190343042,0.9941732225685522,0.994167027024552,0.9941515209782542,0.9941461117363148,0.9941347853842539,0.9941280462090686,0.994123185221523,0.994118499645122,0.9940990397066223,0.9940894988655405,0.9940839133948144,0.9940771638757278,0.9940718288282183,0.9940619603247928,0.9940508707933298,0.9940375087847035,0.9940288147483407,0.9940242351262192,0.9940137187373229,0.99400697722381,0.9939990813763795,0.9939958211367123,0.993991588552773,0.9939819900374771,0.9939767327759956,0.993968404929958,0.9939554341707386,0.9939444577567912,0.9939406438771023,0.9939316516751802,0.9939114087140195,0.993900572256996,0.9938803696006339,0.993866153253596,0.9938546047357488,0.9938298100712011,0.9938215966263055,0.9938154286858139,0.9938076578746662,0.9938011285789976,0.993792710927071,0.9937819953012453,0.9937664966422026,0.9937554223279772,0.9937455266625325,0.9937443917146307,0.9937412817592692,0.9937345457243141,0.9937319534360485,0.9937242371530709,0.9937160532071052,0.993711777440715,0.9936997366287883,0.9936954635928368,0.9936894404023444,0.9936870478016488,0.9936824015109994,0.9936716941706002,0.9936604062942416,0.9936518279724165,0.9936480719170918,0.9936368053150669,0.9936133401665398,0.993603555852191,0.9935980617625952,0.9935909446287846,0.9935866771465177,0.9935777875780953,0.993569183732339,0.9935660362674218,0.9935631683410624,0.9935494486741658,0.9935392648128353,0.9935331291697026,0.9935244253991257,0.9935141806764582,0.9935069512733391,0.9935027231497715,0.9934916639885212,0.9934838490312465,0.9934801719563606,0.9934767907554238,0.9934723947505437,0.9934650990730678,0.9934497297936429,0.9934281797108302,0.993422102792112,0.9934077914900514,0.9933972209936399,0.9933938209882098,0.9933905047466909,0.9933874350596176,0.9933847505396425,0.9933818162892587,0.9933777711436735,0.9933735773258001,0.9933582892984221,0.9933511330269662,0.9933482531891556,0.9933476299325515,0.9933422316841809,0.9933351570379632,0.9933269340086333,0.9933219368171133,0.9933180814805709,0.9932951725092976,0.9932894041911166,0.9932879211099532,0.9932834760184579,0.9932708757827982,0.9932676714476172,0.9932533293980379,0.9932481613304294,0.993240303928883,0.9932290277959708,0.9932208183566641,0.9932142421729219,0.9932089991006912,0.9931948912094126,0.9931745403217862,0.9931721706200629,0.9931710425389534,0.9931628456537729,0.9931548549328129,0.9931433437191438,0.9931303158407478,0.9931234116835114,0.9931212322216909,0.9931171363078355,0.9931069826676033,0.993093694314461,0.9930885217608888,0.9930876956011414,0.9930801464891656,0.9930750458457485,0.9930710464648314,0.9930600346759108,0.9930418044570728,0.9930323168346993,0.9930243920105388,0.9930210264048449,0.9930153953141807,0.9930060589910087,0.9929942863755226,0.9929809032566339,0.9929710061814971,0.992954130033477,0.9929478940361524,0.9929417599212361,0.9929366768928855,0.992906660989799,0.9928938982728877,0.9928840202273306,0.9928623686476543,0.9928510328860796,0.9928397756106663,0.9928335556697174,0.9928304206138066,0.9928184507787776,0.9927975595131512,0.9927888623333354,0.9927848504017991,0.9927813729235185,0.9927727434283634,0.9927607333900623,0.9927551172047837,0.9927521935292246,0.9927468612972501,0.9927423826767368,0.9927344913950762,0.9927224507752357,0.9927191272016069,0.9927137119651015,0.9927037358332734,0.9926937292474844,0.9926893228379148,0.9926828610315728,0.9926739776367711,0.9926530559485646,0.9926236410583864,0.9926073312228609,0.992598217284998,0.9925898820180148,0.9925824948280939,0.9925777774467192,0.9925738297253264,0.9925692151087011,0.9925602671586955,0.9925518352948302,0.9925417122274132,0.9925330799905241,0.9925290012211638,0.9925195987999865,0.9924987068724338,0.9924756581283862,0.9924606549542259,0.9924551255770802,0.9924539329505228,0.9924495595509374,0.9924460005022075,0.9924361804698569,0.9924283053588029,0.992415166872177,0.9924010625131463,0.9923856006305005,0.9923750803845146,0.9923679828099163,0.9923624725619317,0.9923599913996664,0.9923545367876548,0.9923444301514267,0.9923375397517888,0.9923317468945547,0.9923078930310734,0.9923005325078359,0.992286010923731,0.9922673946947173,0.9922615786315361,0.9922570451793331,0.9922397389362239,0.9922345517717379,0.992228390665704,0.992216697207344,0.9921965159125415,0.9921830038607402,0.9921763280139131,0.9921680016993987,0.9921555286934827,0.9921329141837718,0.9921234671613405,0.9921080953464497,0.9921022253856826,0.9920961353723419,0.9920838846774187,0.992071738169864,0.9920589439002669,0.9920554017753731,0.9920395220498485,0.992026678165658,0.9920108264093352,0.9920013348077327,0.9919865169627001,0.9919702702324402,0.991960685315612,0.9919426535963767,0.9919359856604129,0.9919307710913032,0.9919259913124256,0.9919208990214075,0.9919064545881449,0.991889662254599,0.9918570154981148,0.9918242786567957,0.9918152366312483,0.9918034028339437,0.9917920009745993,0.9917653572895346,0.9917464705205341,0.9917401719753373,0.991735598123425,0.9917280938550228,0.9917168194695294,0.9917012857217302,0.9916786837962406,0.9916660949326355,0.9916599272327633,0.9916508344362385,0.991644250609137,0.9916397679774129,0.9916228766508585,0.9916104095743845,0.9916033048856631,0.991590198668445,0.9915830318592492,0.9915808520100811,0.9915775787035501,0.99157172681603,0.9915623513310283,0.991548822659139,0.991534209470494,0.9915262111913008,0.9915210305807003,0.9915145129039789,0.9915085838321995,0.9914992510221526,0.9914923667815687,0.9914595720368101,0.9914484626593147,0.9914421508537603,0.9914265171512363,0.991411351661545,0.9913970055832926,0.9913881496512873,0.991383771439406,0.991375103488561,0.9913643808084933,0.9913403711972051,0.9913272756495897,0.9913181428948927,0.9912900104532794,0.9912669621613418,0.9912613355429236,0.991253946210414,0.9912471347196764,0.9912431012087914,0.9912141751186719,0.9911997001244799,0.9911909196884398,0.9911841868140532,0.9911739449564403,0.9911645273372691,0.9911584281341341,0.9911532524138903,0.9911473658941303,0.991130241134568,0.991111385148833,0.9911059349243445,0.99109801864676,0.9910869889512495,0.9910753401430532,0.9910617876636219,0.9910254437179394,0.9909909973264533,0.9909737760817765,0.9909663970875948,0.9909523952500929,0.9909414619248532,0.990932690605459,0.9909258721739856,0.9909139956563013,0.990884488304697,0.9908681967594141,0.990857448999639,0.9908444469101092,0.9908203365821162,0.9908157004008595,0.990805840947137,0.9907973248320732,0.9907748081937426,0.9907710381441636,0.990766796197013,0.9907425659755938,0.9907270715996677,0.9907226768050545,0.9907147576583382,0.9907033251530162,0.9906905964468696,0.9906789695104538,0.9906683364888746,0.9906597789537914,0.9906506456443478,0.9906395008458543,0.9906335059121928,0.9906178637324428,0.9905942286044607,0.9905841025324285,0.9905718628489497,0.9905679112173447,0.9905611080099856,0.990554299631865,0.990543241968653,0.9905317444967773,0.9905156010604453,0.9904960596098811,0.9904859100083563,0.990476428611327,0.9904542967900414,0.9904304067048859,0.9904161267917626,0.9904078538463807,0.9904011491403055,0.9903900542922899,0.9903767665933526,0.9903423432347722,0.990320441549916,0.9903102775374286,0.9902993827550371,0.9902838322288872,0.9902680694668267,0.9902549716763054,0.9902445093397461,0.9902364415075262,0.9902292965854791,0.9902231235152522,0.9902154809651649,0.9902019296791725,0.9901921873668771,0.9901750065188831,0.9901521507112281,0.9901396500357871,0.9901250725763964,0.9901139237977692,0.9901069517755081,0.9900907218872266,0.9900610654490846,0.9900456978726558,0.9900302433100411,0.9900104925940085,0.989996560833976,0.9899852082731517,0.9899687093338626,0.9899597447776347,0.9899541797700413,0.9899496851321027,0.9899357457686708,0.9899229023433254,0.9899107231069637,0.9899027040405259,0.9898862957684575,0.9898767321901111,0.9898714195272429,0.9898669262034061,0.98985956476412,0.9898455749201556,0.9898373473088042,0.9898206814427247,0.9898164485181701,0.9898002848094929,0.9897938586190733,0.9897782553596679,0.9897584464723332,0.9897394728288242,0.989732789469752,0.9897152770347211,0.9896998683078968,0.9896829055742561,0.9896614479452059,0.9896473592305273,0.989632039226908,0.9896247339675575,0.9896195449896242,0.9896010376295125,0.9895763451876023,0.9895474604168653,0.9895345002870046,0.9895173751011637,0.9895084197744322,0.989490766900571,0.9894672736838903,0.9894498229808377,0.9894324524305922,0.9894092180456379,0.9893843406405192,0.9893726092712765,0.9893611842339425,0.9893542667956601,0.9893468931729794,0.9893290059087588,0.9893113566115173,0.9892929703338382,0.9892759184763369,0.9892544514337418,0.9892457170149294,0.9892388706714151,0.9892275336344949,0.9892025280499479,0.9891704402099268,0.9891621587657682,0.9891558374832381,0.9891452766921865,0.9891297148938099,0.9891198042196746,0.9891004855867314,0.9890901212923877,0.9890760237618412,0.9890648932126025,0.9890407822534659,0.9890215230230538,0.9890161445350159,0.9890100661516467,0.9889997095539658,0.9889844404927017,0.9889707436346697,0.9889461104208079,0.9889277438800779,0.9889035495246004,0.9888741904892681,0.9888440765179722,0.9888246165919468,0.9888117956926037,0.9887923511837551,0.9887774673811232,0.9887595182617227,0.9887301863120207,0.9887137108693305,0.9886974613997201,0.9886875166057318,0.9886767554107352,0.9886653701943706,0.9886555274421087,0.9886401204679602,0.9886247003269747,0.9885970465337743,0.9885794884270263,0.9885633362530337,0.9885508216957888,0.988533374868434,0.9885147622412133,0.9884918563018119,0.9884724213642961,0.9884587453605327,0.9884438297682683,0.9884396846722984,0.9884312071604756,0.9884190274238777,0.9883944153365158,0.9883706933606158,0.9883576980663804,0.988346840300055,0.9883377176146789,0.9883287463066143,0.9883206962178246,0.9883067029617567,0.9882819802500288,0.9882651286979692,0.9882547344864852,0.9882394280716491,0.9882273082655708,0.9882100281505739,0.988190250259946,0.9881756349318498,0.9881633687270849,0.9881542282650226,0.9881469753927987,0.9881409348929558,0.9881264206486702,0.9881081002104368,0.9881045237823372,0.9880913431984785,0.9880820716414035,0.9880693684051294,0.9880562003008022,0.9880419232573849,0.9880246434540763,0.9880053865046742,0.987984732248484,0.9879737817649038,0.9879615091097417,0.9879540483960262,0.9879469514389283,0.9879376463882708,0.9879213665150679,0.9879067554822862,0.9878868693955336,0.9878775522134534,0.9878707769013271,0.9878527213727555,0.9878472296808998,0.987827139584766,0.9878072272819179,0.9877960308117357,0.9877901649639794,0.9877816306504117,0.9877660091349008,0.9877481392646232,0.9877443155220351,0.9877388784248553,0.9877236202739033,0.9877136751242097,0.9876814902439346,0.9876707924306228,0.9876548820975941,0.9876383927260945,0.9876270421853138,0.9875963025085694,0.9875866804666089,0.9875726214594952,0.9875569364727139,0.9875458240156806,0.9875266541473866,0.9875082021409014,0.9874837177147581,0.9874753648545731,0.9874642197362486,0.9874467444661099,0.9874329127283548,0.9874243235488583,0.9874183348279896,0.987408562339601,0.9873946803772057,0.9873820475788897,0.9873643495028628,0.9873513287609408,0.9873425306696572,0.9873309130108879,0.9873233988081238,0.9873096501867786,0.9872978742440461,0.987286707462333,0.9872782316993409,0.9872702839208888,0.9872538905512767,0.9872493368648054,0.9872367159051243,0.98720737907006,0.9871876670505317,0.9871619216954859,0.9871523774064443,0.9871414056546634,0.9871323130528682,0.9871254893361803,0.9871024285753196,0.987080212167571,0.9870606952404626,0.9870282544830411,0.9870098967381377,0.9869989595837955,0.9869750702112964,0.9869508208373577,0.9869374173313248,0.9869225500857849,0.9868977423804601,0.9868785029615532,0.9868617905970036,0.9868529508218372,0.9868449772731225,0.986831335467733,0.9868208154231475,0.986803314301826,0.9867780845647166,0.9867622613996745,0.9867492071511303,0.9867364120059487,0.9867115934409312,0.9866911977053511,0.9866701722010484,0.9866405717798595,0.9866167827166831,0.9866079210246606,0.9865977179936553,0.9865769015555295,0.9865530046294873,0.9865404967404774,0.9865314106283722,0.9865255141021526,0.9865043084189444,0.9864931082289586,0.9864713947280455,0.9864413756708841,0.9864282458831948,0.9864158624420745,0.9863937818884935,0.9863777541757163,0.9863649825085856,0.9863515503765226,0.9863370913148535,0.9863193759308492,0.9862961945392867,0.9862701252029094,0.986232428451681,0.9862096838564668,0.9862006195907431,0.9861808210236874,0.9861627157961549,0.9861519412513343,0.986131314409713,0.9861036985183229,0.9860691100821026,0.98602912624107,0.9860136514963802,0.9859920780747435,0.985971422866317,0.9859636160848824,0.9859376464457834,0.9859149071978561,0.9859002032092272,0.9858778707255735,0.9858496361283835,0.9858054978677052,0.9857822443070299,0.9857422299271815,0.9857229921955329,0.9857136025510478,0.9857021643830988,0.9856816718627952,0.9856642866453595,0.9856281381063967,0.9855987864104568,0.9855828716279993,0.9855663018622886,0.985550782482428,0.9855359397307621,0.9855158324574442,0.9854932367042593,0.9854687928217004,0.9854457802542129,0.9854359819503119,0.9854259299615726,0.9854157166144278,0.9854026481074434,0.985378170960499,0.9853626026703249,0.9853450119875586,0.9853264670086317,0.9852961346057323,0.9852838341074606,0.9852749319736419,0.985265277953345,0.9852543465854193,0.9852487578832216,0.9852354083989942,0.985213378486653,0.9852001030694327,0.9851924451756175,0.9851865779488331,0.9851786454386222,0.9851708047658201,0.9851622245419431,0.9851469462699863,0.9851326193550861,0.9851219248263213,0.9851027406947098,0.9850791769435934,0.9850694588629508,0.9850615863439107,0.9850474134384348,0.9850327324822653,0.9850162530746664,0.9850017781090785,0.9849835546772184,0.9849620634455587,0.9849513758618691,0.9849256697799911,0.9849008254297412,0.9848774705532782,0.9848581101587202,0.9848237990330361,0.9848010613136889,0.9847817900104521,0.9847688078652536,0.984735689265894,0.9847092200582714,0.9846940891410862,0.9846786374583254,0.9846520489442281,0.9846332404646234,0.9846210117843776,0.9845936207435726,0.9845727174089589,0.9845530692845628,0.9845353632370075,0.9845217385190598,0.9844998530457031,0.9844687591707436,0.9844249562271234,0.9843911795565481,0.9843739714743123,0.9843618483057236,0.9843536726714482,0.9843397539443064,0.9843240145667207,0.9843117539811996,0.9843005353102415,0.9842803650433258,0.9842512526531719,0.9842210579147714,0.9841937708644599,0.9841840533358714,0.9841772530911475,0.984164457191563,0.9841557098004174,0.9841387354101196,0.9841344343790344,0.9841216343864081,0.9841113980398885,0.9840821562176543,0.9840717077021053,0.9840686539276562,0.9840608346442281,0.984046051725153,0.9840146179139129,0.9839949707214125,0.9839690935036931,0.9839578711325141,0.9839424032069257,0.983916536562363,0.9838931877376254,0.9838865079901535,0.9838728631714233,0.98386256504491,0.9838525856971666,0.9838480766853587,0.9838365715432513,0.9838153786237772,0.9837999776410412,0.9837907882384405,0.9837735904032494,0.9837563670808422,0.9837393892115279,0.9837284294755697,0.9837097350836501,0.9836933247158768,0.9836658961291826,0.9836515890248054,0.9836287274826641,0.9835841949054833,0.9835753768860069,0.9835701384539408,0.9835606579095932,0.9835498454803646,0.983537692145521,0.9835301834942812,0.9835224918937522,0.9835117583678359,0.983502877745688,0.9834781180767342,0.983459586395783,0.9834492561260115,0.9834403108341534,0.9834367185430228,0.9834142671543081,0.9834062373329022,0.9834027800006793,0.983379397782719,0.9833456056952785,0.9833086202519468,0.9832988275269927,0.9832778180352202,0.9832596570354449,0.9832361580319292,0.9832219553303172,0.9832092325012864,0.9831994958402539,0.983180717486885,0.9831524277310275,0.9831363130933877,0.9831125486401231,0.9830873895208109,0.9830701699400486,0.9830603176850168,0.9830461531679999,0.983020456770817,0.9830069155271408,0.9829983920091612,0.9829892625273088,0.9829743447231498,0.982961093154378,0.9829455357152015,0.9829257830302861,0.9829051634417147,0.9828922698472271,0.98287151537648,0.982852347744167,0.9828239001953616,0.9828147018771898,0.9828005216314858,0.9827719095804456,0.9827549464507399,0.982734411965483,0.9827148913520583,0.9826865956773363,0.9826558510942658,0.9826331270375475,0.9826126886559903,0.9825993098478141,0.9825878058505048,0.9825693301176328,0.982548560384232,0.9825411361752396,0.9825274524201382,0.9825178523428595,0.9824953899215758,0.9824707030050965,0.9824531216669741,0.9824178521936187,0.9824091684241429,0.9824031051155577,0.9823779040620338,0.9823607922853066,0.982348553926154,0.9823349217797824,0.9823195809084438,0.9823039171724288,0.9822877647900191,0.9822737270228505,0.9822539718008578,0.9822280295882325,0.9822055555839566,0.9821913884327778,0.9821775962556797,0.9821615593251537,0.9821540807506336,0.9821435566072516,0.9821294422688635,0.9821169421401744,0.9820901825430677,0.9820700294295029,0.9820520224781127,0.9820327367986162,0.9820169256575941,0.9819909793770567,0.9819576849929073,0.9819423700581378,0.9819225699528195,0.9819041237548474,0.9818876332674089,0.9818775334227918,0.9818636813763275,0.9818467880825495,0.9818299679047292,0.9818129787843257,0.9817895459861312,0.9817693303255539,0.9817528268230231,0.9817217693845393,0.9816909442026134,0.9816569817016672,0.9816370807045273,0.9816155009595562,0.9815997998257736,0.981577261280062,0.9815609152839468,0.9815457945728854,0.9815267792872164,0.9815149745195577,0.9815044958085875,0.9814934467313191,0.9814871735497351,0.981477394224977,0.9814627939845202,0.9814412012747982,0.9814202499909537,0.9814092725129593,0.9813948185196252,0.9813696625714454,0.9813491859722066,0.9813377270795802,0.9813182162648624,0.9812992205197972,0.9812831414210961,0.981263498783204,0.9812443001959439,0.9812286571732567,0.9812080500732897,0.9811895769346324,0.9811812489048506,0.9811602265738282,0.9811536376436556,0.9811254704762343,0.9810973945827164,0.9810717980478154,0.9810641462971637,0.9810459243395239,0.9810057717594319,0.9809792308130484,0.9809430987782892,0.980929221295405,0.9809142990627977,0.9809025686800564,0.9808795320917036,0.9808539974473547,0.9808447231623318,0.9808164869291776,0.9807809306906836,0.9807514182586734,0.980732693813599,0.9807160574038425,0.9806817138935988,0.9806521530132057,0.980618536854083,0.9805951992542838,0.9805709489069802,0.9805576828707837,0.9805386792916717,0.9805169715672053,0.9804994571749179,0.9804800003826591,0.9804628444348746,0.980445552372265,0.9804205763817961,0.9803949527153994,0.9803600864268114,0.9803282375502609,0.980299609091901,0.9802807950797439,0.9802726948680671,0.9802618938783053,0.98024586152293,0.980231394605128,0.9802131544270628,0.9801978787808521,0.9801782688359044,0.9801648823432964,0.9801524818440692,0.9801276855736932,0.9800984865433482,0.9800753757681444,0.9800638079195432,0.9800496989152465,0.980032211157932,0.9800139727295601,0.9799966243258194,0.9799796981980415,0.9799632971084,0.9799526776781873,0.979924291704948,0.97991111464305,0.9798976887293827,0.9798727480916868,0.9798543840466254,0.9798453382316323,0.9798255455669556,0.9798048488316321,0.9797931526119861,0.9797680757459886,0.9797543416235452,0.9797369750843393,0.9797145899330245,0.9797036319259345,0.9796808073189212,0.9796730919567482,0.9796585302042324,0.9796413961456996,0.9796233409152766,0.9796046778944114,0.9795860476057467,0.9795663093767061,0.9795421472394445,0.9795147007937419,0.9794907248570481,0.9794611719067923,0.9794298592253469,0.9794068281437801,0.9794002377931013,0.97939350355511,0.9793740140035685,0.979358911113035,0.9793324600789353,0.9792885935604738,0.9792601662784477,0.9792445428640854,0.9792343376633237,0.9792088686927112,0.9791945695399462,0.9791796014660202,0.9791449348941228,0.9791370241259525,0.9791272970451169,0.9791178770035913,0.9791038353570976,0.9790847610564873,0.979076380097288,0.979060128134576,0.9790177942119803,0.978999409407751,0.9789749722006614,0.9789667300034852,0.978939298611357,0.9789303813290346,0.9789123544099969,0.9788933936111199,0.9788835874946327,0.9788732486158342,0.9788613372085213,0.9788444700263643,0.9788291820653967,0.9788181497619284,0.9788032083292222,0.9787879081166273,0.9787683057045464,0.9787526198639851,0.9787354361628946,0.9787163455779745,0.9787057162178496,0.9786923957227449,0.9786701715646644,0.9786559014900178,0.9786395891144614,0.9786203787612162,0.9786041015475822,0.9785812534640963,0.9785657153232825,0.978536580330284,0.9785147637383133,0.9784940210387676,0.978477775485495,0.9784623924515193,0.9784266159374727,0.9784079126765861,0.9783902702326802,0.9783718295320056,0.9783487673295754,0.9783266761968528,0.9783134817991688,0.9783014990400034,0.9782891656018615,0.9782799470842176,0.9782638271715995,0.9782357832869117,0.9782085003293814,0.9781884268254011,0.9781742494646344,0.9781566419723027,0.9781387895846,0.9781274273072698,0.9781161515869773,0.9781032229365658,0.9780803710323529,0.9780543438105576,0.9780276700437066,0.9780068557587354,0.977975693837247,0.9779576723634301,0.9779355930629439,0.9779207480134945,0.9778964953878697,0.9778740510889157,0.9778607455969743,0.9778440661600799,0.977820289137431,0.9777993890021563,0.9777783131870688,0.9777612059146759,0.9777497583927809,0.9777238681602276,0.9777107598131182,0.9776952100845876,0.9776813733525893,0.9776686758909257,0.9776523156555134,0.9776295699565622,0.9776072814668945,0.9775957286768628,0.9775809920055634,0.9775638125230255,0.9775397151409515,0.9775274511197023,0.9775149560032121,0.9774914304870881,0.9774703092525441,0.9774506442226056,0.9774330453751032,0.9774193362544901,0.9774047734201299,0.9773871789127319,0.9773681501676967,0.9773601515397633,0.9773387616703029,0.9773234439274432,0.9773144484777059,0.9773031918947801,0.9772746505701091,0.9772616493837483,0.9772445290675109,0.9772348874675428,0.9772286827631815,0.9772157524918352,0.9771957700658345,0.9771846514181182,0.977157083620295,0.9771406652366128,0.9771281943037962,0.9771071991969451,0.9770967158711341,0.9770797052896847,0.9770699266634227,0.9770526244856118,0.9770335717673481,0.9770111906106358,0.9769804686245491,0.9769509452295799,0.9769346757478645,0.9769217231981315,0.9769073672816523,0.9768890381009374,0.9768765033856814,0.976863186375578,0.9768507338828873,0.9768336413711434,0.9768197642910401,0.9768058711438159,0.9767877340891876,0.9767668274187638,0.976752236777309,0.9767330272160357,0.9767128540992218,0.9766953150908335,0.9766833662372315,0.9766784224877403,0.9766697076119069,0.9766591555875288,0.9766426219866009,0.976628205881052,0.9766110252293927,0.9765830123460607,0.9765678093658534,0.9765476987150714,0.9765248352236172,0.97651691846965,0.976504328481776,0.9764899860271863,0.9764796988996657,0.976470300358073,0.9764640049376607,0.9764504893100263,0.9764319026337864,0.9764231351185513,0.9764077313546695,0.9763832633303751,0.9763687872948783,0.9763596590426981,0.9763553407325716,0.9763495955370195,0.9763372705459601,0.9763289856404562,0.9763216878615845,0.976315176299698,0.9763090728145811,0.9762808029129229,0.976259612902371,0.9762528504962438,0.9762419541339236,0.9762236579387762,0.9762031443167823,0.9761776102189104,0.9761678075945093,0.9761540995185631,0.9761438433634477,0.9761341112746097,0.9761305172933628,0.9761228892507463,0.9761115578099958,0.9760935949522668,0.9760726889239515,0.9760615332594296,0.9760500103300366,0.9760375427131247,0.9760221209404499,0.976008456162925,0.9759880964322918,0.9759734378971077,0.9759656473134253,0.9759485395286402,0.9759337901878697,0.9759211726246322,0.9759008893272743,0.9758785447639803,0.9758628301096081,0.9758294732468226,0.9758121113494866,0.9758043270285675,0.9757865920621426,0.9757657526607344,0.9757371213415584,0.9757172878626292,0.9756984058248757,0.9756751728541098,0.9756534389003906,0.9756322146409871,0.9756223613834735,0.9756131131865586,0.975597144232232,0.9755801719433428,0.9755547298007332,0.9755293063312725,0.9755071332774085,0.9754946045534945,0.9754819702512127,0.9754542772278045,0.975430263118549,0.9753979476771537,0.9753688325588681,0.9753543984726919,0.9753342814305319,0.9753105324543199,0.9752951227344644,0.9752707597107801,0.975236394981961,0.9752113671763191,0.9751932413377314,0.9751844257874487,0.9751727475044512,0.9751526705292293,0.9751287997737085,0.9751092541261472,0.9750844360751848,0.9750587771105708,0.9750424208197792,0.9750102024266205,0.974987516942763,0.974974050153064,0.9749679324642644,0.9749467781420602,0.9749336168635137,0.9749223412261432,0.9748875028233935,0.974853761328967,0.9748294421746659,0.9748151964934134,0.9747983170523035,0.9747752738748741,0.9747386958548463,0.9747069827820778,0.9746884604319216,0.9746721690026297,0.9746523991012556,0.9746214051777441,0.9745905933919587,0.9745661431944828,0.9745471280556486,0.9745262922151618,0.9745026655725952,0.9744847067505813,0.9744625572570762,0.974441130800225,0.9744218700956322,0.9744004823641342,0.9743739922582234,0.9743461972216736,0.97432861358007,0.9743103363697971,0.9742904831766594,0.9742764100539252,0.9742632561893607,0.9742418350570092,0.9742232826009385,0.9742043655258343,0.9741820177074872,0.9741704347270738,0.97416072243688,0.974139646945829,0.9741117984127238,0.9740866809183262,0.9740622684789628,0.9740386982934816,0.974018930818596,0.9740029878319298,0.9739741441996841,0.9739573453440916,0.9739342263922575,0.9739150652846753,0.9738927589748441,0.9738729688154009,0.9738534187480012,0.9738374458154391,0.9738100606030528,0.9737948354695629,0.9737668909412925,0.973740613205001,0.9736855320603093,0.9736614687164378,0.9736447694073245,0.9736295733148994,0.9736142940691783,0.9735909617496116,0.9735736622551618,0.9735529036676651,0.9735401719049259,0.9735262329011611,0.9735064551373943,0.9734886882330488,0.9734718168652872,0.973447341747478,0.9734143515795766,0.9733981896093707,0.9733837239615467,0.97337465716823,0.9733534415261189,0.9733448134703075,0.9733199132158028,0.9733022870897567,0.9732904068872912,0.9732654345695817,0.9732226873261663,0.9731934918608309,0.9731764581279536,0.9731631061090558,0.973138429173249,0.9731133942847978,0.9730856481593628,0.9730636840762295,0.9730476899175895,0.973023260808481,0.973002825488889,0.9729834348629477,0.9729598707098525,0.9729389620161899,0.9729200889771306,0.9729028784845759,0.9728725985696431,0.972839086449381,0.9728045159472949,0.9727720722702322,0.9727505531047,0.9727298563607404,0.9727093291654836,0.9726888424443136,0.97265722427441,0.9726337493719958,0.9726195753585806,0.9726004551868421,0.9725770736680759,0.9725500955693087,0.9725133404959974,0.9724883845736993,0.9724649336186246,0.9724469774148472,0.9724342372816149,0.972424572599472,0.9723984099440304,0.9723639339386279,0.9723461859876888,0.9723292532380392,0.9723115924695184,0.9722919124432587,0.9722679742513518,0.9722487616247886,0.9722240550518031,0.972196235592768,0.9721698867131391,0.9721469990655146,0.972107212498916,0.9720808106487007,0.9720644010116231,0.9720458452264173,0.9720293372838602,0.9719979976627038,0.9719586743332919,0.9719321592829374,0.9719152138258782,0.9718997920547431,0.9718842582551231,0.971864234283832,0.9718457423715678,0.9718296631178682,0.9718043341959023,0.9717776890048399,0.971759661293419,0.9717382259147813,0.9717010745288568,0.9716684600726724,0.971652407561163,0.9716367355984504,0.971620637319548,0.971602563413128,0.9715884529302697,0.9715696592862677,0.9715490069341867,0.971520939169296,0.9714891998981325,0.9714667264501948,0.9714480932479896,0.9714324082045533,0.9714085585532177,0.9713856577932103,0.9713440235806786,0.9713235706414913,0.9713016489740407,0.9712908531520161,0.9712772189716963,0.971266510822704,0.9712415068007905,0.9712174470418087,0.9711909047025358,0.9711601297438417,0.9711339933717658,0.9711129308585207,0.9710903484772917,0.9710752589609004,0.9710626629170283,0.9710476326582397,0.9710357406187564,0.9710140177911825,0.9710030800673766,0.9709708416736512,0.9709552843452951,0.9709373454182376,0.9709146787931549,0.9708909190874168,0.970866008296543,0.9708348203065258,0.9707978138940585,0.9707719669534245,0.970751814022726,0.9707233542402711,0.9707005365230225,0.9706847075514962,0.9706754126842034,0.9706454943861269,0.9706193768876101,0.9705964795583379,0.9705628359634105,0.9705240715468899,0.9704914172564929,0.9704541398569897,0.9704313994235534,0.9704156067162577,0.9703942958726635,0.9703720566624188,0.9703544870428125,0.9703375711525879,0.9703184307188943,0.9702937029205303,0.9702749360513588,0.9702568458221372,0.9702278809103825,0.9702068363272935,0.9701717056430383,0.9701400100943108,0.9701295700938194,0.9701154921409765,0.9700893068531335,0.9700669145051055,0.9700374264160929,0.9700038974447187,0.9699721986931293,0.9699586033312895,0.9699345853724508,0.9698977025943302,0.9698832180544439,0.969867045663311,0.9698483768351045,0.9698241659529668,0.9697994314161119,0.969771716632873,0.9697520497356844,0.9697368005667343,0.9697135881264682,0.969686677377055,0.9696709041236848,0.9696545547943856,0.9696257914108317,0.9695905478028952,0.9695607710349019,0.9695328900348466,0.9695053466733581,0.9694774203217706,0.9694503757188175,0.9694166222022655,0.9693764347233401,0.9693472217003798,0.9693299496907211,0.9693128085994839,0.9692933744580613,0.9692749377846432,0.9692599467528245,0.9692440657836818,0.969219416037779,0.9692023440963654,0.969177112875987,0.9691427234922322,0.9691129008547887,0.9690928793875768,0.9690687823332343,0.9690279436720806,0.9689928260948419,0.968966732192106,0.9689398953422945,0.9689095483837455,0.9688750102699588,0.9688573267874938,0.9688522222189797,0.9688322760318839,0.9688039713726564,0.9687778645314347,0.9687523465278995,0.9687326970077894,0.9687133742585701,0.9686933260536016,0.9686744776054079,0.9686532529713638,0.9686347764568735,0.9686108167560588,0.968588539248717,0.9685604385851883,0.9685268850791002,0.9684943614029413,0.9684673711040025,0.9684388715037213,0.9683999521091835,0.9683707812820839,0.9683518616903073,0.9683345671316956,0.968310216820448,0.9682808746124992,0.9682546557127751,0.9682223634795118,0.9681804817724922,0.9681424147255575,0.9681112874460531,0.9680810765121355,0.9680622089090101,0.9680487371266269,0.9680235540447331,0.9680065839744305,0.967970925842742,0.9679281574337222,0.9679011489648139,0.9678758860179284,0.9678493136058965,0.967819394276524,0.9677776196794649,0.967755505059005,0.9677267856512197,0.9676984324837774,0.967672827154919,0.9676523451659096,0.9676314372310021,0.9676134595862931,0.9675799926960029,0.9675529395322364,0.9675312616334033,0.9675024023182759,0.9674724989423371,0.9674464314390808,0.967425438008563,0.9673985851476712,0.9673710964296085,0.9673506262889704,0.9673315997583462,0.9673130858524204,0.9672996432450682,0.9672800451678558,0.9672565397225914,0.9672336434914072,0.9672099923992451,0.967186469088875,0.9671576680987503,0.9671409380044859,0.9671215541757676,0.9670898962528305,0.9670574725145207,0.9670343298119397,0.9670123772022876,0.9669951969760165,0.9669690374692442,0.9669401639379427,0.9669192154330909,0.9669036848574492,0.9668796151782031,0.9668541129086509,0.9668079682613322,0.9667696609654692,0.9667456167843878,0.9667308047245733,0.9667030183277503,0.9666779409471395,0.9666559599024234,0.9666189913730818,0.9665992317760527,0.9665870209484843,0.9665677441737396,0.9665412824951052,0.9665094345433115,0.9664730230869902,0.9664460676711787,0.9664250253986122,0.9663968356298769,0.9663630427324339,0.9663260511084215,0.9662970817604435,0.966272075894322,0.9662540723703603,0.966226272280722,0.9661914621370778,0.9661631888022493,0.9661316653776982,0.9661042225046899,0.9660717155497563,0.9660448929501261,0.9660239355456394,0.9660024472875275,0.965963775179808,0.9659258894283265,0.9659070816371875,0.9658828863807281,0.9658329246702243,0.9657991122837175,0.9657733889269107,0.9657529641899403,0.9657253925329429,0.9657118529666027,0.9656795845175585,0.9656348449694409,0.9656121302438123,0.9655691757787066,0.9655408597006003,0.9655114561986948,0.9654788394624501,0.96544247092138,0.9654159442889205,0.9653963304643332,0.9653559628667259,0.9653410709379695,0.9653102532825035,0.9652760559202556,0.9652533025375307,0.9652319849841229,0.9652167283281053,0.9651760335019288,0.9651480084248505,0.9651155444959265,0.9650901045596334,0.965057025885834,0.9650212261097602,0.964992412658644,0.9649608020149643,0.9649299346164502,0.9649012072742885,0.9648770805627085,0.9648544643622761,0.9648338105322537,0.9648157683059322,0.9647955952999623,0.9647688606619349,0.964740772124661,0.9647083912364615,0.9646706404024503,0.9646406483685706,0.9646070126660313,0.964580010457236,0.9645533771360338,0.9645167975822713,0.9644785342739097,0.96443001036126,0.9644079741530269,0.9643826006388692,0.9643464448606862,0.9643132699000838,0.964273747142681,0.964252159361276,0.9642216038098445,0.9641869465570572,0.9641583932673778,0.964128721944298,0.9640858286941056,0.9640457888673664,0.9640157074465926,0.9639886132063492,0.9639595400403624,0.9639389132605174,0.9639162190021574,0.9639010807281978,0.963878388205506,0.9638274820991217,0.963804708654231,0.9637802019509436,0.9637554030668631,0.9637284536091723,0.9636994360489968,0.9636654968803093,0.963640164603824,0.9636073279694564,0.9635635657144069,0.9635321051814179,0.9634834720063874,0.9634513534681659,0.9634223367991293,0.9633906238378499,0.9633501263839923,0.9633179360838974,0.9632912784324538,0.9632539922688196,0.9632162764140656,0.9631943246306838,0.9631630153479731,0.9631233306687322,0.9630979280457189,0.9630619633734399,0.9630255795933165,0.9629927589514942,0.9629614335694963,0.9629277227901015,0.9629016653640926,0.9628629894318257,0.9628375082750822,0.9628087458008658,0.9627762045900585,0.9627428768364765,0.9627023358423485,0.9626742313782698,0.9626515229818411,0.9626201958255982,0.9625905519575718,0.9625697021000386,0.962549492437772,0.9625164024225364,0.9624784953958728,0.9624376199186784,0.9623962295417701,0.9623634129133114,0.9623362662494372,0.9623102752744677,0.9622731464690655,0.9622405955146922,0.9622111421150706,0.962182785253898,0.962145246891632,0.9620999888397401,0.9620649336435807,0.9620353906908119,0.9620079755215948,0.9619826993234392,0.9619494045212165,0.9619187074183448,0.9618885135919284,0.9618590983077737,0.9618174206539692,0.9617784044982705,0.9617352396867351,0.9617009547619648,0.9616743313722254,0.9616344576647258,0.961594135330162,0.9615719358294846,0.961536935768545,0.961502731585753,0.9614780699534144,0.961435933273847,0.9614077117985693,0.9613827774067247,0.9613445132056722,0.9613109378928522,0.9612951805340986,0.9612669206603937,0.9612412610465788,0.9612122992986584,0.9611843009241952,0.9611487370782028,0.9611112210312622,0.9610763394130175,0.9610457072110511,0.96101580328118,0.9609885715508584,0.960960028430585,0.9609359034500017,0.9609115913587615,0.9608794980768881,0.9608500297196583,0.9608175750725176,0.9607782060791202,0.960736832747145,0.9607018168969437,0.9606771831326566,0.9606489362228353,0.9606170212846681,0.960591633081312,0.9605708560067715,0.9605431015025994,0.960513421356592,0.9604790568514875,0.9604314506098233,0.9604082524596328,0.9603699195659949,0.9603261897730604,0.9602556476813143,0.9602224036713878,0.9601960701136126,0.9601602793481132,0.9601172504851624,0.960082293028962,0.9600349245215996,0.9599966638559754,0.9599539842186162,0.9599121176106065,0.959864218949406,0.9598458460404402,0.9598217212863691,0.9597934394770786,0.9597556400883267,0.9597219703317068,0.9596799299447623,0.9596279170225519,0.9595792270845634,0.9595442738595014,0.9595261530427895,0.9595006671602206,0.9594615660685095,0.9594316704772693,0.9593964111348712,0.9593615824818631,0.9593274988547256,0.9592902480603791,0.9592612702082222,0.9592275017259964,0.959199168689886,0.9591755615996,0.9591472773746812,0.9591069051932892,0.9590663597709406,0.9590281740047386,0.9590006351046937,0.958972284725436,0.9589305739126394,0.9589048541480126,0.9588778801015744,0.9588408328174505,0.9588020270832067,0.9587730831244315,0.9587285967945726,0.9586986375751041,0.9586553597504803,0.9586386643815248,0.9586052980742208,0.9585763010992527,0.9585395854524378,0.9584891034175178,0.9584448426533332,0.9584096392219921,0.958372293833698,0.9583229707175026,0.9582921442356105,0.958252646758918,0.9582032589058993,0.9581646310845422,0.9581224989806296,0.9580820871886268,0.9580320738387129,0.9579889740293608,0.9579376885294905,0.9578903212100067,0.9578634773806427,0.9578383633700539,0.9577802200331926,0.9577413827426831,0.9576994986154538,0.9576602925455341,0.9576270097694646,0.9575952689463361,0.9575354487109662,0.9574909635319366,0.9574376139044624,0.9573763636319707,0.9573408525193225,0.9573002929219308,0.9572725771684101,0.9572326460892255,0.9571917173878622,0.9571393921340732,0.9571054311752984,0.9570828691651448,0.9570432866404526,0.9569993429839698,0.9569636293198855,0.9569358330959477,0.9568967333557646,0.9568567091203795,0.9568043572525604,0.9567677443222022,0.9567386962282033,0.9566868194978639,0.9566476997314333,0.9566087738006638,0.9565748956521685,0.9565291743721483,0.9564856166052574,0.9564341354029072,0.9563735160678148,0.9563381469839769,0.9562837163384708,0.9562246031486079,0.9561884816564874,0.9561573785743266,0.9561191326519162,0.9560800271784025,0.9560306244428776,0.95599177466617,0.9559576993009494,0.9559330662654799,0.9558924117260479,0.9558413214421653,0.955806507622899,0.95577076624243,0.9557304129016435,0.9556786686656575,0.9556356590675281,0.9555920083306135,0.9555593179545944,0.955509393851212,0.955466786207193,0.95542750763455,0.95540421730955,0.9553706004422656,0.9553331736324353,0.9552797202974752,0.9552380056480876,0.9552072105170206,0.9551735175868499,0.9551230482184677,0.9550785606063359,0.9550323442179369,0.9549790132102604,0.954917482482226,0.9548749775063319,0.9548470557149493,0.9547988320588925,0.9547488008975774,0.9546934404444642,0.9546521313494359,0.9546170021068792,0.9545710687406379,0.9545290559744586,0.9544790420484184,0.9544456387317011,0.9543891439245621,0.9543485517943853,0.9543222313815298,0.9542758546911261,0.9542382852497573,0.9541872874913557,0.9541502246520583,0.954100582653832,0.9540531706317565,0.9540135685522313,0.9539638543240612,0.953922341650616,0.9538852805259458,0.953839404275088,0.9538061633827595,0.9537674938299907,0.953725847087656,0.9536686911469234,0.9536366624645305,0.9535994679268042,0.953535164629699,0.9534771193769276,0.953430810201519,0.9533899210491859,0.9533546836488482,0.9533065641498837,0.9532565102438042,0.9531879552224314,0.9531493399349664,0.953109074803647,0.9530446687226435,0.9530046184920824,0.9529641008998634,0.9529027084177988,0.9528612321816017,0.9528229877812157,0.9527851285536034,0.9527328777829456,0.9526734528089018,0.9526216095487137,0.9525650631971241,0.952529594336008,0.9524698685186841,0.9524341913364677,0.9523837521150604,0.9523375110402581,0.9523016977916393,0.9522504724480282,0.9521981669291663,0.9521469329726029,0.9520994132459106,0.9520528802269295,0.9520056541434061,0.951961839126144,0.9519154295776654,0.9518661712571929,0.9518095126015387,0.9517691231723429,0.9517216225846683,0.951658555132625,0.9515943398685368,0.9515530525687026,0.9515049201265258,0.9514597496044819,0.9514110102414728,0.9513586164227228,0.9512890964149088,0.9512165833291066,0.9511475793950287,0.9510930066788598,0.9510314437456848,0.9509747572095829,0.9509219300465432,0.9508700635202658,0.9508205204144171,0.9507671456071998,0.9507126579268093,0.9506578629767437,0.9506098818724632,0.9505548616697725,0.9505121030941788,0.9504628500674601,0.9504207746485609,0.9503905654624185,0.9503274761425735,0.9502834099771189,0.95024490204595,0.950197950600972,0.9501182989708516,0.950075385259562,0.9500327249123813,0.9499736804725196,0.9499264934526216,0.9498668379883263,0.9498047828118379,0.9497619442886391,0.9497243929487649,0.9496780828878586,0.9496264547248096,0.9495780654108043,0.9495395431664405,0.9494820483934878,0.9494283505578469,0.9493615494040119,0.9492971170679164,0.9492499932596445,0.9492068287618004,0.9491330971102785,0.9490490289378132,0.9489834392549786,0.9489332598096052,0.9488563704483883,0.9488019103204732,0.9487436562615589,0.9486789743145869,0.9486053637783592,0.9485522001893613,0.9485053099968317,0.9484610335694166,0.9484155074627368,0.9483741104767683,0.9483237744019594,0.9482612669525968,0.9482016023949853,0.9481415405393112,0.9480865465530202,0.9480431189355891,0.9480007119386217,0.947947826638006,0.9478734641612085,0.9478086794602057,0.9477559591619612,0.9476945291955525,0.9476399103869622,0.9475993046476077,0.9475658623667668,0.9475226781560239,0.9474651003846406,0.9474204350824842,0.9473901650525891,0.9473479632171745,0.9472853498692891,0.9472300569617284,0.9471702377104174,0.947108259698878,0.9470445848984692,0.9469858771904998,0.9469358644761877,0.946881324648303,0.9468371931509538,0.9467948107156623,0.9467437374920784,0.9466871851322249,0.9466288129290497,0.946555000108583,0.9464958596863383,0.9464334695215253,0.9463870028598791,0.946317149923888,0.9462592324773573,0.9461834092604715,0.946126553166623,0.9460658843875587,0.9460177236363517,0.9459677564919124,0.945895166347418,0.9458528875283929,0.9458021096002729,0.9457469742738213,0.9456913374065856,0.9456402410967709,0.9455914855267633,0.945525660136503,0.9454690978908954,0.9454080827993141,0.9453424659151426,0.9452951081273193,0.9452425831806699,0.9451923814939114,0.945135584618432,0.9450658291457976,0.9449988130544139,0.9449355161977637,0.944867039200266,0.9448109570673378,0.9447554869682172,0.9447151812249397,0.9446716303908334,0.9446434961099002,0.9445722093304783,0.9445150386620418,0.9444551936490158,0.944399927751649,0.9443415088001155,0.9442540896141993,0.9441810206196526,0.9441330925558349,0.9440761206374771,0.944009885680275,0.9439540408075533,0.9439036967611754,0.9438448766301626,0.943798526489092,0.9437237081041965,0.9436464221773815,0.9435851718479853,0.9435210953488118,0.9434516012266823,0.9433856808189469,0.9433325454638097,0.9432934988726338,0.9432532779935285,0.9431944351973112,0.9431319491762773,0.943076925517729,0.9430096774015257,0.942944762190456,0.9428723295697503,0.9428106050508397,0.9427244534082395,0.9426263118057189,0.9425660233896566,0.9424833155546489,0.9424031785778471,0.9423243599732347,0.9422310309210249,0.9421624182062432,0.9420979615159637,0.9420382779700872,0.9419872156119959,0.9419324109267275,0.9418538311909876,0.9417747809542034,0.9416898943701237,0.9416100292442816,0.9415349695221175,0.9414873831945043,0.9414337967038728,0.9413576085958968,0.9412825799625997,0.9412282488715842,0.9411436234733609,0.9410772640063793,0.9410177470537894,0.9409702931336347,0.9409156082393506,0.9408551358779724,0.9407746039334308,0.9406919472926555,0.9406158803852588,0.9405200463241605,0.9404378152480841,0.9403723790055695,0.9402941343681397,0.9402152798645301,0.9401433543293387,0.9400433455546786,0.9399645762834948,0.939895488292521,0.9397942634293401,0.9397339262865516,0.9396694242644281,0.9396071981445753,0.9395253027985729,0.939469821926691,0.9394168711763474,0.9393622532998263,0.9392987572196544,0.9392426533837503,0.9391747352970017,0.939104374730864,0.9390201540238179,0.9389551761970765,0.9388872645567066,0.9387962468058209,0.9386966954890912,0.9386115474956812,0.9385376359509137,0.9384588382912855,0.9383870645018837,0.9383139528705218,0.9382530667857899,0.9381886435585244,0.9381166619894796,0.9380359959010538,0.9379565691911245,0.9378779958247305,0.937802463670841,0.9377400238345965,0.9376759952944278,0.9375905515307482,0.9375017479071914,0.9374340623382931,0.9373779263122421,0.9373252899280556,0.9372671262525325,0.937194585038426,0.9371137959409257,0.9370196980094562,0.9369166058055497,0.9368220523389399,0.9367325856296301,0.9366606386044101,0.9366004255308081,0.936543606354687,0.9364554156268557,0.9363619546104086,0.9362771274059577,0.9362022787264114,0.9361288265552155,0.9360494790822871,0.9359827142020565,0.9359276938798027,0.935866272427054,0.9358048257347404,0.9357528136385936,0.9356956173897546,0.9356200030286448,0.9355374824210163,0.9354549238883841,0.9353766385820326,0.9353017517740889,0.9352134584607564,0.9351169906212458,0.9350575077594401,0.934991699236393,0.934917501766093,0.9348295953957253,0.9347645955889281,0.9347102276910073,0.9346346411500814,0.9345449461985071,0.9344455792321846,0.9343607800795364,0.9342919439244508,0.9342078977366199,0.9341335604444774,0.9340579606887186,0.9339793051341632,0.9339128351947212,0.933842733589515,0.9337830804154345,0.9337011525900267,0.9336179231305755,0.9335364402207835,0.9334505172526415,0.9333764820171271,0.9333049131321214,0.9332206944248151,0.9331423354929704,0.9330631121526174,0.9329693625192502,0.9329166992723236,0.9328370724580212,0.9327474542116243,0.9326813494045053,0.9326103170879947,0.9325237255830996,0.9324445008107193,0.9323689111798168,0.9322945220836911,0.9322224492117241,0.9321406190811153,0.9320490131916281,0.9319628464884977,0.9318849719672178,0.9318241949397521,0.9317170037935638,0.9316301141629499,0.9315627189101582,0.9314809335164898,0.9313999195022149,0.9313158579806158,0.9312326203607366,0.9311565491380557,0.9310772020834639,0.9309940985279824,0.9309150748022164,0.9308341273202743,0.930749215471662,0.9306682834429573,0.9305811109363941,0.9304897717417203,0.9304013344952835,0.9303014546476744,0.9302029141043355,0.9301022007720117,0.9299927480099041,0.9298779239767851,0.9297688152549453,0.9296655006297101,0.9295615514209827,0.9294636172688122,0.9293612277550918,0.9292443759585893,0.929165187304611,0.9290923915844485,0.9289849223098834,0.9289008051275844,0.9288141379136852,0.9287398311700481,0.928644355070074,0.9285489342076213,0.9284586299010453,0.9283775310328395,0.9282782055052572,0.9281855458913171,0.928075587745181,0.9279876243888976,0.9278683503747859,0.9277833645533409,0.9277058128628706,0.9276321893247186,0.9275453025895624,0.9274500304330813,0.927364609762345,0.9272969128973596,0.9272270282100445,0.9271397338988246,0.9270328451759525,0.9269520381323563,0.9268572134974511,0.9267776512309949,0.9267031244297914,0.9266085037665976,0.9264983313854239,0.926401960478805,0.9263050608845401,0.926216180209751,0.9261238421345597,0.9260510546276357,0.9259760366903826,0.9258818943272993,0.9257821970457253,0.925697180953863,0.9256010668258166,0.9255027023749975,0.9253994348537228,0.9253022129041363,0.9252031098823048,0.9250980660095656,0.9249854768283912,0.9248788336779903,0.9247908788259751,0.9247010651446008,0.9245965762968614,0.9244786649313249,0.9243844980782234,0.924295767293805,0.9241782388468749,0.9240667968613474,0.9239832282954681,0.9238942831527097,0.9238017795171347,0.9237145159473371,0.9236318821151013,0.92355155600841,0.9234704425797953,0.923366308766578,0.9232504192242316,0.9231439002556305,0.9230100668899569,0.922885687118927,0.9228048993685604,0.9227038868862409,0.9225884644217086,0.9224682009725189,0.9223680552180803,0.9222653264724261,0.9221779805588188,0.9220767831462748,0.921982827995151,0.9218777555046795,0.921793161219673,0.9217041784647237,0.9216159138210287,0.9215077159580445,0.9213830112934049,0.9212486822292555,0.9211449801377547,0.9210399729290377,0.9208994723708254,0.920784960572535,0.9207143214085092,0.9206322432785549,0.9205267817810556,0.9204436904223074,0.9203647207075316,0.9202613968714253,0.9201464050890698,0.9200364276858044,0.9199384044443615,0.9198328906898694,0.9197154435492907,0.9196111278342314,0.9195115035017658,0.9194239065178516,0.9193249594710203,0.9192180360128284,0.9191363538126469,0.919026617473809,0.9189134519290111,0.9187995817492689,0.9186858221461492,0.918593571177621,0.9184974369289958,0.9184008351708104,0.9182849163243361,0.9181764550139326,0.9180800410291586,0.9179600017683673,0.9178305137420846,0.9177419145250714,0.9176505106360933,0.9175534561645567,0.9174333103009731,0.9172938342138643,0.9171607843879279,0.9170311096690822,0.9169078984605231,0.9167611608213015,0.9166446012728738,0.9165444683054284,0.916435374923932,0.9163152524150444,0.9162055510166907,0.9160794751351009,0.9159585581624359,0.9158538069692206,0.9157525110997775,0.9156394784791959,0.9154971637047059,0.9153658070072036,0.9152374410840813,0.9151330447588293,0.9150331613890288,0.9149247929841529,0.914826519490811,0.9147052736731458,0.9145962872446101,0.9144491327442084,0.9143315493143862,0.9142344986393003,0.9141293133462857,0.9139958749059026,0.9138843515102142,0.9137497654293589,0.9136301005346261,0.913528014571834,0.9134047634133711,0.9132789471724785,0.9131524621426803,0.9130361501317064,0.912948205558658,0.9128329621261955,0.9126819794133327,0.9125553078364961,0.9124373592597008,0.912304507605491,0.9121590920850143,0.9120461003887808,0.9118944364640343,0.911749173836102,0.911627483364227,0.9115027108665701,0.9113813381982949,0.9112443194007016,0.9111311916336124,0.9110024437198613,0.9108607715628722,0.9107406668618839,0.9106045868178816,0.9104564443663512,0.9103053634186807,0.9101716685243086,0.9100404010810332,0.9099236979010354,0.9097912749844785,0.9096360731017963,0.9094952833071095,0.9093524352973885,0.9091917477952953,0.9090535286501018,0.9089076537758017,0.9087380359839079,0.9085961842571071,0.9084684851950351,0.9083365909782046,0.9081973788024424,0.9080686536416871,0.9079392162987487,0.9078047937737748,0.9076774223422723,0.9075358659353963,0.9074104609784869,0.9072541858470907,0.9070574680149452,0.9069224919828363,0.906786072338984,0.9066281333522592,0.9064633330748297,0.906299371722513,0.9061556109546431,0.9060211514576015,0.9058665768654088,0.905731303338478,0.9055928112623073,0.905463619242289,0.9053464546245953,0.9051974244691232,0.9050619731427894,0.9049437076183644,0.9048192363506874,0.9046725086903467,0.9045102067704724,0.9043342874879668,0.904171847942498,0.9040244534511412,0.9038604633917335,0.9036947639070204,0.9035761870126736,0.903471490521683,0.9033226374437114,0.9031812877764898,0.9030275764360935,0.9028760263315584,0.9027182643345942,0.902569023795688,0.9024053377127303,0.9022464198068532,0.9020906573527094,0.9019624549621361,0.9018086829120646,0.9016475979333801,0.9014852161481328,0.9013367682441003,0.9011595661046514,0.90100703004101,0.9008580141811926,0.9007280549107789,0.9005467514522669,0.9003870859277514,0.900236976489716,0.9001157743516437,0.8999751590257954,0.8998047368912323,0.8996071994073247,0.8994406999417609,0.8992763883206769,0.899124580393332,0.8989756003957331,0.8988252273221533,0.8987044529287428,0.898582289757484,0.8984442292917719,0.8983000172762008,0.8981435663076236,0.8979644600429371,0.897798839762382,0.8976282881964623,0.8974670154957112,0.8973076158266682,0.897161512200524,0.897014979615536,0.8968688855732045,0.8967086706958224,0.8965846485436963,0.8964672145009633,0.8963588085711878,0.8962276922725652,0.8961248785854299,0.8959767590550358,0.8958251555613401,0.8956717835775416,0.8955096936970081,0.8953568763369188,0.8952223563524596,0.895033382929523,0.8948454324533347,0.8946898917600159,0.8945231161991625,0.8943283780823226,0.8941512514011798,0.8940086536857768,0.8938356214677443,0.8936476628881178,0.8934769872399644,0.8933218341629954,0.893116891093362,0.8929510772591076,0.8927533279993928,0.8925485162385491,0.8923583379953584,0.8921693232400798,0.891960801780833,0.8917467761865749,0.8915499564875293,0.8913673418674686,0.8911858265946564,0.8910248772336979,0.8908261075026336,0.8906093855447805,0.8904601775726745,0.8902754549692067,0.8900976338879858,0.8899192040962607,0.8897300393647086,0.8895187983231054,0.8893571957846444,0.8891709683370244,0.889014481008952,0.8888209346045569,0.8886115264539964,0.8884527075506526,0.8882790461627437,0.8880853306550549,0.8879083583025627,0.8876837134280274,0.8874839258194536,0.887245930415899,0.8870328829524867,0.8868448303858063,0.8866522027497259,0.8864552656463256,0.8862744794782405,0.8860716188931297,0.8858535774247775,0.8856543199348388,0.8854364235484802,0.8852209603525298,0.885043218070515,0.8847915207062776,0.8846137948347843,0.8844184781164323,0.8842156455530947,0.8840265977456683,0.8838638927776118,0.8836479583334251,0.8834135506868694,0.8831820276451814,0.8829908120961516,0.882731895073959,0.8825440409368568,0.8823549553791666,0.8821426881413483,0.8819339469878182,0.881782647248651,0.8815975811032535,0.8813827323309663,0.881158078878956,0.8809166528110319,0.8807193350205014,0.8805118495880294,0.8802722131888513,0.8800515278425687,0.8798501417572357,0.8796415618263411,0.8794219971976884,0.8792224380697183,0.8789242083344635,0.8786747383687648,0.8784052674126408,0.8781920756846198,0.8779869907407893,0.877734136118069,0.8775475742576005,0.8773731930851716,0.8771699911876818,0.8769761714966453,0.8767580294172246,0.876493418387449,0.8762062433896782,0.8759249371186266,0.875669378267112,0.875422680656956,0.875199385137704,0.8749765586690421,0.8747928913076359,0.8745985091685633,0.8743449604705373,0.8740659261445101,0.8737752447254241,0.8735646891713552,0.8732945396348424,0.8730614974607952,0.8728530105955528,0.8726370816214175,0.872386582435573,0.872184442901782,0.8719445958282439,0.8717110130879965,0.8714338005447717,0.8711940996180916,0.8709860924696738,0.8707601424058433,0.8705406401011788,0.8702329234053873,0.8699732773575146,0.8697427604506467,0.869517066616579,0.8692748919413116,0.8690457619905584,0.868771095372647,0.8685490163397009,0.8682597539056724,0.8678629181674034,0.8675961434165755,0.8673125614263373,0.8670881434144619,0.8668104166577695,0.8664657838294113,0.8661613719609766,0.8658554956975433,0.8655878168625384,0.8653089665957441,0.8650593052945104,0.8647631962959754,0.864477356806864,0.8642503595551895,0.8640335261594014,0.8638050612289963,0.8635334006293895,0.8632379440202412,0.8629544574911139,0.8627445465400004,0.8625162776635966,0.8622996789102075,0.8620161540763565,0.8617254863590293,0.8614680445147272,0.8611755397281068,0.8608934778705646,0.860601374107002,0.8602851999207208,0.8600188769500943,0.8597352952306894,0.8594061014459418,0.8591284688448784,0.8588528922142906,0.85857174852735,0.8582855194537471,0.8579693653178051,0.8576712813953449,0.8574024595569754,0.8571223209666841,0.8568381989994134,0.8565546714833787,0.856248183770735,0.855914455567429,0.8556171916769144,0.8553439699188378,0.8550412912559164,0.8547407202406898,0.8544610694894447,0.8541911815851588,0.8538780225060105,0.85357138636842,0.853296143057988,0.8530058724475766,0.85265125717078,0.8523491719792713,0.8520441294270311,0.8517938391082962,0.8515230434137506,0.8512455966516652,0.8509522003236019,0.8506384437593844,0.8503025656314792,0.8499915421618585,0.849644447868748,0.8493409143255326,0.8490195848832764,0.8487527710556841,0.8483905768381446,0.8480743421316332,0.8477427690406472,0.8474263771916986,0.8471091256025595,0.846730874474636,0.8463550206844799,0.8459913804777807,0.8456743654490282,0.8453333248360068,0.8450308411580341,0.8446820949766654,0.8443378651589185,0.8440386829497365,0.8437473469220533,0.8433692060808733,0.8430167094616527,0.8426011821455951,0.8422446880491323,0.8418797554905854,0.8414675643521166,0.8410779439330797,0.8407177717669925,0.8403950865192431,0.8400605264154943,0.8397520551342447,0.8394030777726929,0.8389723716332667,0.8386341644366961,0.8382802271088262,0.8379312663966813,0.8375114489005879,0.8370833905000862,0.8367018618405154,0.8362883772040497,0.8359182053314973,0.8355284772093572,0.8350893208081285,0.8347041247565806,0.8343168572367621,0.8339025194339944,0.8335316992192696,0.8331149913246807,0.8327080047587827,0.8323425253990187,0.8319707793666037,0.8316038467545414,0.8312428613965586,0.8308995986302585,0.830555420210519,0.8301928353217682,0.8298259680390041,0.8294933851169939,0.8291069784694264,0.8286697700259144,0.8283510686703973,0.8280085587767172,0.8275445086231427,0.8270743341618279,0.8267130097184627,0.8263090209189593,0.8258723359846074,0.8254836539523113,0.8250482140781021,0.8245328095837673,0.8241347254866294,0.8237367489744535,0.8232917692228519,0.8228502740760828,0.8224472432861819,0.8220327690728308,0.8216065623676518,0.8212261265201044,0.820825493109129,0.8203593450535385,0.8199263955547845,0.8194661057017743,0.8190399089696204,0.8186348922546476,0.8183193972987273,0.8179773193757166,0.8175293559048689,0.817160169581229,0.8167595714533944,0.8163163146511039,0.8158484722017284,0.8154021124951897,0.814980126624356,0.8145879405576033,0.8141383920848589,0.8137314933898349,0.8132496154178435,0.8127935466226871,0.8123232604421311,0.8119098837014366,0.8115466112096352,0.811072797474795,0.8106003256711047,0.8101561318026143,0.8096693020437795,0.8091248664534377,0.8085998928280752,0.8081267499401417,0.8076491432815947,0.8071961003922563,0.8067621550882109,0.8062702105914816,0.8057094603408979,0.8051732821149948,0.8046047741169191,0.8040784830737409,0.803645674663011,0.8032820413769737,0.802850692689304,0.8023225852290681,0.8018061204402263,0.8013355937153578,0.80085853354979,0.8003924159390434,0.7999269542547988,0.7994082084165833,0.7989044487327903,0.7984020236820624,0.79792359927189,0.7974859792243093,0.7970558210336072,0.7965478987163295,0.7959532438761748,0.7954543984513938,0.7949544890504084,0.7943957003847286,0.7939022859620056,0.7934691601698473,0.7929446825171076,0.7924917834800932,0.7920291871012135,0.7915215643384963,0.7910906808019219,0.7906107753811554,0.7900795931712747,0.7895578579485041,0.788970521437102,0.78844169743004,0.7878653027834229,0.7873576861404721,0.7867742306333059,0.7862328294941189,0.7856088870272713,0.7850704546710328,0.7845948948012413,0.7839899753355798,0.7835080763312239,0.7830027640230734,0.7823633436408652,0.7819067964961635,0.7813856055106669,0.7807823455177338,0.7803195745836873,0.7798241119493476,0.7791910330569252,0.7785782969125378,0.7780016090575104,0.7774979608695699,0.777028800014673,0.7764798603784888,0.775876273359899,0.7751527494237456,0.7745343578063315,0.7739529221284914,0.773311448562344,0.7726463670368969,0.7718920915573905,0.7711928760234752,0.7705038668693653,0.7697519333611578,0.769041628313904,0.7683503790457897,0.7677668850495241,0.7671084477637807,0.7664726091102885,0.765808404482623,0.7651537110294416,0.764557559125927,0.7639093200617132,0.7633226817402192,0.7627321510484962,0.7621058013964961,0.7614446187650329,0.7608350223659159,0.7601753304181825,0.7594389191568798,0.7586943702897475,0.7579947531209733,0.7573270154838145,0.7567149323697779,0.7560430830340841,0.7554289485783061,0.7548227083740576,0.7542815050808657,0.753626986948587,0.7530574814404758,0.7523794845508294,0.7517682331986764,0.751052380966916,0.7503339910526541,0.7496451081484115,0.7489494958133346,0.7481079832304063,0.7473860256021674,0.7467292095300306,0.7461619017686192,0.7455465116849543,0.744865742591047,0.7441552438786562,0.7434525296762604,0.7427616795953138,0.7421320304718811,0.7415989052708484,0.7410059132922635,0.7402592168237415,0.7396492526576501,0.7389172525733319,0.7383031733459543,0.737573194613639,0.7369303200231068,0.736216004771115,0.7354920862260188,0.7347637528298894,0.7342456522398966,0.7336479128069211,0.733011201238237,0.7322889657698659,0.7316176266657829,0.7309940345918844,0.7303728820565716,0.7297357417320598,0.7290446031749105,0.7283896683112492,0.7276692315794064,0.72686559405301,0.7261991258874105,0.7254904194601869,0.7247015903680665,0.7238419020276599,0.7230044577954895,0.7221278426078748,0.7212879415822306,0.7205240567348552,0.7197145415154335,0.7188776920355996,0.7181659145225088,0.7175338140418186,0.7167315836996687,0.7159989247512297,0.7152670043917897,0.7145109490919803,0.7136630451479931,0.7128148779266033,0.7120031500859663,0.7111556845398681,0.7102018072801866,0.709352477025722,0.7085361340071519,0.7076949918186328,0.7068391593924076,0.7060915376939991,0.7054061661928446,0.7046471803706589,0.703734154745119,0.7027842792731823,0.7018520514744868,0.7009057591150569,0.6999584797644482,0.6989598517056352,0.6979173430513493,0.6969534869847565,0.6959411844684209,0.6948053669019364,0.693743079731738,0.6925763035242753,0.691548962468415,0.6906559280072643,0.6895511564729913,0.6881772092302914,0.6866622792786958,0.6847381204522252,0.6821472231317913,0.6799643291685666,0.6779992974964073,0.6755376984480387,0.6734651934308495,0.6715335973189516,0.669529999063218,0.6678918758831336,0.6662566937256709,0.6648933330802664,0.6635027004241686,0.6624009493074692,0.6610376491324452,0.65975738926298,0.658340550472926,0.6567556964647836,0.6554755557457318,0.6541702324958684,0.6528727224288082,0.6516244650984486,0.6503236658987583,0.6488856945278204,0.6475855537119606,0.6464834147497724,0.645149932639725,0.6435728968280197,0.6421510393136831,0.6408478086523035,0.6396352682556428,0.6384237221225559,0.6371097778428865,0.6357682511565907,0.6343765845889753,0.6331028516590373,0.6318453622545493,0.6306797287927761,0.6295671342779754,0.6283157454774413,0.6271340782309545,0.6259725354701973,0.6247898487264698,0.6237050124057146,0.6226616318958549,0.6216307671283645,0.62041679496549,0.6190076171779455,0.6177262324570185,0.6166758362836111,0.6156258412539695,0.6143782451578368,0.6132146701479424,0.6121181910157036,0.6109466170276765,0.6095911143949606,0.608396243574068,0.6071994730090317,0.6061034143634509,0.6049381291855269,0.6038629516699018,0.6029483659701098,0.6018124534819302,0.6008267405381988,0.5998842181209106,0.5990173632333315,0.5976973822125029,0.5966968108884219,0.5955421259130674,0.594249494589788,0.5929029518566665,0.5915574128271783,0.5901654663215726,0.5885934032516345,0.5873187365448225,0.5861721960981889,0.5849941200756239,0.5837429620806702,0.5827823009989852,0.5816361219306984,0.5805599557979751,0.5793916646156418,0.5782397529658758,0.5769386410540589,0.5757844965581111,0.5746518499111855,0.5736667161058,0.5726545441699852,0.5716836169318522,0.5706309898598675,0.569592471978754,0.5685753871217015,0.5672893405665698,0.5662109339660053,0.5650459597058075,0.5639033896190881,0.5627813666252852,0.5615268334726081,0.5601107019565041,0.5587433966451948,0.5574124328658485,0.5561672742147663,0.5550172485776714,0.5538408873033107,0.5529340582905584,0.5518261406988008,0.5506831895658681,0.5494980365378024,0.5483252917110606,0.5470484624686904,0.5457835402542919,0.5446197920959363,0.543195566447545,0.5418312702731856,0.5406885114219216,0.53951171821906,0.5383508607892526,0.5371611669167667,0.5358118905008499,0.5344834089894605,0.533163547780216,0.5320581684386696,0.5308326439317665,0.5295931693240066,0.5283850705961668,0.5269627191444657,0.5257504454419492,0.5247008985214331,0.5234861954550644,0.522332624616648,0.521084377266674,0.5199525569026335,0.5186036484539666,0.5174757074811629,0.5162249798568247,0.5147551433831433,0.5134218341530833,0.5121328193317922,0.5109621135986269,0.5097818817258032,0.5088712969564926,0.5077838956456175,0.506812826299804,0.5056358537565028,0.5043865773420662,0.5031739639164026,0.5043112786026791,0.5037432108007945,0.5025820354602273,0.5018890119163643,0.5021203328333023,0.5014691371573239,0.5018784329815101,0.5012160226177867,0.5013872706001654,0.5022852640987296,0.5020681578576454,0.5009127899400834,0.5011452463232873,0.5009547096707025,0.5015445882419057,0.5008990685072047,0.501085549228151,0.5010913263858692,0.500552604528269,0.5003650018212152,0.5010190002369035,0.5012947907470552,0.5017040454491184,0.5011792367561007,0.5012205968153773,0.5013981835705461,0.5009662489686233,0.5070463973039466,0.5057579835754824,0.5045291420233557,0.503038852500069,0.5016849060045158,0.5019196938838061,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},{\\\"line\\\":{\\\"color\\\":\\\"rgba(125, 0, 255, 1)\\\",\\\"width\\\":1},\\\"name\\\":\\\"Blast\\\",\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.9126832552008803,0.9124256801151227,0.9123140239355377,0.9121995461196455,0.9120459684863533,0.911903274307389,0.9117601770375238,0.91162554467658,0.9114308517713829,0.9113296759552246,0.9111813385036459,0.9110076063253024,0.9108407266922763,0.9106565141505061,0.9105109983352346,0.9103888617922228,0.9102405243406441,0.9100958147071746,0.9099454618010908,0.9098305808942975,0.9097003825332651,0.9095621223542121,0.9094109632663262,0.9092783463598876,0.9091658839985005,0.9089945703655632,0.9088151949146052,0.9086757254628491,0.9085741465557898,0.9084407234675491,0.9083201992881414,0.9080892282018518,0.9079828122039801,0.9078538231156508,0.9077530503903936,0.9075865738482686,0.907441058032997,0.907330611126115,0.9072209704010351,0.9070266805867391,0.9069226831342736,0.9067642684101692,0.9065957764135391,0.906469608961517,0.9063430384185938,0.9061140827868093,0.9059322887904452,0.9058105553383343,0.9056888218862236,0.9055521740707747,0.905265173349242,0.9051281224428921,0.9049914746274432,0.9048137115400894,0.9046194217257933,0.9044569760926786,0.9043005768230794,0.9041945639161088,0.9040542882825506,0.9037164981074882,0.9035963770189815,0.9034528766582152,0.9031787748455155,0.9029748108495947,0.902868394851723,0.9026696710375157,0.9023149510446101,0.9021150179576997,0.9019025890528574,0.9017518330558725,0.9015099785152549,0.901219753066514,0.9010714156149353,0.9009323492540803,0.90077554689358,0.9003216665390212,0.900139469451756,0.9000088679998226,0.8998419883667966,0.8997061467331497,0.899528383645796,0.8993989914665657,0.8991148123813402,0.898989854202021,0.898684311299041,0.898502114211776,0.8982243845809669,0.8979007025874405,0.8977737289536163,0.8976233760475325,0.8974597211417147,0.8971247526029595,0.8969683533333602,0.8967039257022851,0.8964991555245624,0.8963137337100889,0.895939665353934,0.895773994993611,0.8954938468173957,0.8951677462784633,0.8950125562815671,0.8948803424660295,0.8947541750140074,0.8946300230164904,0.8943494717493742,0.8941305933901154,0.8938504452139002,0.8935187014023532,0.8934026112228569,0.8932885364978657,0.893139795955386,0.8929660637770424,0.8926597146922602,0.8925242761495145,0.8923166843354845,0.8920808761583825,0.8919107717981481,0.8917938754368497,0.891658436894104,0.8914016679901484,0.8912831592652459,0.8910747612694139,0.8909502061809959,0.8907954192750007,0.8906382138235993,0.8903943438284767,0.8901807056509313,0.8900750958348618,0.8899005574747161,0.8896792605700512,0.8893273622134528,0.8891753969437648,0.8890266564012851,0.8887819802243604,0.8885598771378934,0.8883216504153851,0.8881680727820931,0.8879713644223909,0.8878024693348597,0.8875533591580237,0.8872832882543342,0.8871538960751039,0.886533136087519,0.8860627290060181,0.8852380050225126,0.8844660859470419,0.8840557394097943,0.8835035048753844,0.8828605748882431,0.8820261767231128,0.8813856652813776,0.8809269478360064,0.8803610082109616,0.8798365869487228,0.8789743755114215,0.8784801860667599,0.8777904975350992,0.8768799151896745,0.8764542511981877,0.875654518850546,0.8745839094174127,0.8739393670666672,0.8712842073015886,0.8703881362286009,0.8697899493314737,0.8693400998859253,0.8678518882793259,0.866758302664834,0.8659126179544749,0.864985911973009,0.8644562505290568,0.8637593063611775,0.8629926274674202,0.8624464392965258,0.8613621247727575,0.8606156004240516,0.8597416993506205,0.8587319566435427,0.8583522450147733,0.8575396137582987,0.8571135466759109,0.8564424003256974,0.8553592950746323,0.854745790723266,0.8537247614709593,0.853234199844407,0.8521905975016426,0.8513154871555084,0.8505290568076007,0.8494564319199622,0.8485611670287767,0.8479311359504682,0.8469346952431243,0.8460249190795016,0.8452102723685219,0.8445028478372157,0.8437051309440792,0.8427417436906197,0.8421326733391648,0.8411656582675959,0.840348996102111,0.8394247086660512,0.8383158055973202,0.8377111692457766,0.8368598412628032,0.8360165750978503,0.834959267664451,0.8344610473107791,0.8332146902447971,0.8320517729953282,0.831424563553327,0.8302467319405199,0.8288979897856765,0.8275863319937279,0.8261202903866851,0.8252637222219983,0.8240943555181129,0.8234195813497902,0.8223155153718715,0.8208361717650947,0.8202895805032993,0.8187900823514711,0.81815118327334,0.8170422802046089,0.8159277338632634,0.8150514142444263,0.8136639753630841,0.8129061644691494,0.8114155343171439,0.8102308501590194,0.809505689628068,0.8083330981969744,0.8075680316668212,0.8068694751353378,0.8059334980631482,0.8049350419012992,0.8040704119185917,0.8032932526614077,0.8021117932304914,0.8005715828976593,0.7998085318220112,0.7984493093037411,0.7975516258671493,0.7965523635234982,0.795329788820677,0.7947029824695767,0.7938141670328076,0.7929672730497455,0.7913315301733694,0.7901851396508427,0.7894253133024028,0.7880922916926997,0.7875815755210958,0.7859006864638044,0.7851755259328531,0.7842415643151687,0.782583651439236,0.7820374632683417,0.7801018207616,0.7790364515101801,0.7773978869974968,0.7760644622968925,0.775515452489691,0.7741953297888207,0.7735036258026547,0.7726015083661516,0.7714212582079385,0.770764220039261,0.7695634122450954,0.7689886046202279,0.7673190021081654,0.7660992490416514,0.7654188316007142,0.763850001813909,0.7628197014708787,0.7611924235034243,0.7598896337112983,0.7585606430106053,0.7571131435850098,0.7563924170539699,0.754952576355494,0.7532253318445843,0.7524582498599259,0.7512328535207975,0.7505568700797717,0.7488300286597631,0.7474288846877859,0.746958880697186,0.745974935807774,0.7455097689079865,0.7443226662044558,0.7436309622182898,0.7427489993268382,0.7412700588109624,0.7403594764655378,0.7389817117658203,0.7374427107056912,0.7366804658118452,0.7353365607478143,0.7342159680429534,0.7326435104380389,0.7312629241020142,0.7301822373963552,0.7282921441614298,0.7274617769053099,0.7264762196522938,0.7256490771233821,0.724732045323541,0.7231277435374451,0.7220123910142976,0.7207035548586562,0.7195454746999996,0.7183410390877246,0.716889508753119,0.7154549082363564,0.7137933675423145,0.7133072399156734,0.7119415679429868,0.7108298432379486,0.7102139203411761,0.7084008174683473,0.7071351120391159,0.7060898973327475,0.7048133084491883,0.7037310093799253,0.7023064861356885,0.7015813256047371,0.7005788385338778,0.6993788369215141,0.6989096391127163,0.6975931442299553,0.6968454106085463,0.6954793355449588,0.6943595490218999,0.693876646122467,0.6927701615991422,0.6920470165226961,0.6904685125542661,0.6889919905837966,0.6883708275053108,0.6873876887977007,0.6865436164509459,0.6852448575678302,0.6835732396012625,0.6830415627028051,0.681792787091417,0.6809253354724024,0.6797027607695811,0.6786373915181613,0.6780420262573413,0.6770532442771169,0.6760713148422101,0.6751119584977608,0.6740187759741699,0.6730993256289226,0.6718489376539304,0.6709246502178706,0.6693715409762055,0.6683464808148886,0.6669231668433548,0.6657977370476816,0.6650242056086068,0.6639548054481766,0.6633304176424826,0.6623537283892891,0.6611230918684472,0.6597550013503545,0.6581640015639927,0.65719940503783,0.6561650737857895,0.6545204629095908,0.6537408851070005,0.6525936884026717,0.6516238516947956,0.6500316426357308,0.6486849159353926,0.6476453445016386,0.6463316712551848,0.6453880354558756,0.6445911247445412,0.6431835313181475,0.6425123849679342,0.6410773813602706,0.6404473502819621,0.6396548735705389,0.6383097592338048,0.6377313237908281,0.6365998476316395,0.6353768698379172,0.6341728373165433,0.6328918144330729,0.6320743460857858,0.6309888222893144,0.6301604704876996,0.6293091425047262,0.6280938234381235,0.6271562340023299,0.6254640583998098,0.6248009738676169,0.623721899525562,0.6227133660911872,0.6216399350217467,0.6203673770471979,0.6200009674181625,0.6191830959799745,0.6183140319973557,0.6170076143871205,0.6158007602294393,0.61490791388366,0.6137071060894942,0.6128972964693268,0.611722286492827,0.6103433125204065,0.6094327301749818,0.607925976386935,0.6071302749483036,0.6058456242467238,0.6045343695456763,0.6038986951947534,0.6028768597606446,0.6019437043247623,0.6001072221796737,0.5990773249275444,0.5984646267579802,0.5971799760564005,0.5966470898852401,0.5954039575464664,0.5943418130222546,0.5938278721234426,0.5926710012374891,0.5915258199876654,0.5904612569180476,0.5888384129505044,0.5878730102425398,0.5866649468121556,0.5859345460994909,0.5844092501299968,0.5828263121616556,0.5820938959944857,0.5812909389196358,0.580600444206173,0.57978458822249,0.5787147849711588,0.5779223082597357,0.5766465255579786,0.5757843141206773,0.5748301979579415,0.5732690268982559,0.572024282195878,0.5706904544043727,0.5701692578693421,0.5690402002555597,0.567187997565331,0.566204858857721,0.5651624657876598,0.564625548707489,0.5639080469036573,0.5632421407351572,0.5620703554858656,0.5607699842391458,0.5598743162570591,0.5587194608256107,0.5579096512054433,0.5569938286783053,0.5557906023387335,0.5549828081730711,0.5540488465553867,0.5528883478513239,0.5516653700576017,0.5501763522692003,0.5493709766489441,0.5482628797620152,0.5475606954124225,0.5463635154363661,0.5453594160019026,0.5445225992913661,0.5433032493157532,0.5427127211457455,0.54137486244523,0.539712112478485,0.5388067703147736,0.537302031981232,0.5365571199961303,0.535804549283909,0.5349262142105666,0.5343562436765115,0.5333896316958437,0.5328285291616113,0.5318212049999396,0.5308465312012512,0.5301822373963553,0.528196611617886,0.5275589218124579,0.5264592898344506,0.5254483378546696,0.5246961702333494,0.5238146104327988,0.5231458826279914,0.5218463175630736,0.5208107770383299,0.519854645421089,0.518525654720396,0.517708186373109,0.5167782556644349,0.5159091916818161,0.5148833253386972,0.513538614092864,0.5129061644691494,0.5118508724902553,0.510960041598981,0.509796721258611,0.509047778364499,0.508563666192363,0.5073402853077398,0.5066804255027552,0.5054759898904801,0.5044811615467404,0.5040857293728309,0.5027785055807935,0.5022887501360431,0.5015345670602177,0.500636883623626,0.4999209941833983,0.4987854871151993,0.49813852621904764,0.49689297533486776,0.4949202484652314,0.4943200461135991,0.49313495886457354,0.4926923650552436,0.4916572276214009,0.49022907655905484,0.48957808475389286,0.48857801622843966,0.4881519491460519,0.48734093025318137,0.48635093900025395,0.4855439510163937,0.48454106085463333,0.4837820406879956,0.482278108536256,0.4812135454666382,0.4804698427542395,0.47971565967841406,0.4788167669691192,0.47769778662786244,0.4767932506459532,0.4759846502984888,0.47499183740925416,0.47408689833644385,0.4729642901770778,0.4720948231035581,0.4707343913125849,0.469918132238001,0.46910550098152637,0.46800909373072724,0.46689535357118384,0.4662100990394344,0.46481056743106136,0.4640612214460483,0.463447314003781,0.4628176860163736,0.46202480621404934,0.4612278955027148,0.4604031715192093,0.4595083097189247,0.458749692643188,0.4578262113889303,0.45694545777018175,0.4561227492411814,0.45465509527053444,0.4542217725519282,0.45358247038289606,0.4525102485861587,0.4519237513251613,0.45107161716038585,0.4505218011713822,0.4497615717320413,0.44899045883837263,0.44857406593760957,0.44776022540843186,0.4470306308775692,0.44628974980147773,0.4454190734552549,0.44490876037455207,0.4440384871192303,0.44316377986399713,0.44222457806459936,0.44084117009226753,0.44031674883002864,0.43945776211993565,0.4388583659501054,0.4381799639636734,0.43695900162445633,0.436289467637847,0.43531076293014836,0.43474522639600455,0.43395476513908654,0.43301153243067847,0.43252903262214665,0.4311053155597119,0.4299210344924884,0.42933977741320445,0.42837840561425006,0.4278717203516565,0.4268627838263807,0.4262480702023113,0.425162949496741,0.4243620078763962,0.4236291886183253,0.4228854859059267,0.42230382573574166,0.42126586666559174,0.4208035214021114,0.42028595268519003,0.41934513852218813,0.41881184926012666,0.4178440280067558,0.41696408056980927,0.4161067062233204,0.4154762720541109,0.4146168822531169,0.4136325342728039,0.4127215488364781,0.41162715704018416,0.4108294401470476,0.41016192161494336,0.4089417654575283,0.40845160692187693,0.4076458282107198,0.4066743791392397,0.40607538606031046,0.4052974206213243,0.4046101506350697,0.40374793919776847,0.40242821958779923,0.4016526726942193,0.40045105871825154,0.39960013382617915,0.39869438857156675,0.39767658404646833,0.3971102413305225,0.39613798607724027,0.3954027482737632,0.39454537392727435,0.3937033170350246,0.393251452134971,0.39178420125522506,0.3913843350814042,0.39035564710197795,0.38956720129956507,0.3890310904011964,0.3883143947791666,0.38782222078901013,0.3871051220760794,0.38621670973021127,0.38555967156153387,0.3847897679405683,0.3840601734097056,0.3832044114268209,0.38256027216697636,0.38168274327543605,0.3805722278431009,0.37940326423011655,0.3784217378861107,0.3779565709863231,0.3771411180935413,0.37614548356799943,0.3756150159422451,0.37487977813876805,0.3741594546986291,0.3734093025318139,0.3724596203689894,0.37191423837989707,0.3709730211259941,0.36960049660799005,0.3687531995340269,0.3680038535490138,0.3676209171930362,0.3667046915749971,0.3662782214017083,0.3656856777771955,0.3648085519765562,0.3640406638100958,0.36325020255317775,0.3627838263806871,0.3614649129525199,0.3609380731448749,0.36014882116065994,0.3594482491746714,0.359082242636537,0.3579620530225771,0.3568285614088833,0.35594780779013474,0.3547651390865154,0.35424636109689095,0.3534377607494266,0.3526980889460382,0.3519205265979531,0.3512695347927911,0.3507011766223401,0.3499542491827332,0.3491682219257265,0.34840960484998973,0.347402280688318,0.3468794717896833,0.34579515726591503,0.3450131609179186,0.34465078219789347,0.34374302148877595,0.34321618168113094,0.3424499058782746,0.34178158116436835,0.3409185635452651,0.33942108084794204,0.33873864795249975,0.33734959670755355,0.33686064744460525,0.33544337983658695,0.33470733585130785,0.3341147922267951,0.33338721315043757,0.3327071988004015,0.3319606744516956,0.33117545337649096,0.33055912738881743,0.3298130061310126,0.32916080505314754,0.32810954398326364,0.3273823679978072,0.3268563343719642,0.3261142440231697,0.3257075253040313,0.3247570369594047,0.32391256152174874,0.3236332195273356,0.3228129295437414,0.32205511864980674,0.3210223997613702,0.32010698032513313,0.31967244833382374,0.31900694525622475,0.31802420963951583,0.31685685839013555,0.3159398265902944,0.31535010460208884,0.3145943091626593,0.3142194346247022,0.31337616845974936,0.31269454174610917,0.3120757972130295,0.31121197341212414,0.3108866790549937,0.3101248372520487,0.3091130790904657,0.3081734742001669,0.3071721964020106,0.3065437776873063,0.30553887207104075,0.3046387700890428,0.30411757355401214,0.30348189920308927,0.3029711830314854,0.3020380275956031,0.3016651685121512,0.3008884123458681,0.3002027547232176,0.29942962637504383,0.29893342147587704,0.2984646267579802,0.2977297920454042,0.2971291866028708,0.29663136934009987,0.2954233059097157,0.29508591882555435,0.29415719738958335,0.29327765304353787,0.2926048943297203,0.2917019707114151,0.2912650201746996,0.29042780037326216,0.2899525562009489,0.28955591475433623,0.28878399567886553,0.28805923823881524,0.28727643570901673,0.28658513481375186,0.2858132157382811,0.28497196502783345,0.2845999121261836,0.2836272537820004,0.28260179052978235,0.28217612653829566,0.28104263492460185,0.28059923493346983,0.279271050414579,0.2785934546099491,0.27811619498313067,0.2771217697302919,0.2766594244668115,0.27624706247505876,0.27514662431524933,0.2748959017748092,0.2743045674229996,0.2739663741570362,0.27354232252915356,0.2726454452743638,0.27233143746246213,0.2716324778400777,0.2712221313028301,0.27045222768186455,0.26983025842157665,0.269516250609675,0.26859438171902145,0.26800304736721176,0.2671069762942241,0.26657126848675644,0.2657465445032509,0.2650036479726543,0.26457072834494905,0.26377825163352586,0.26303213037572104,0.26203609275927814,0.2614310533168335,0.2610259469612992,0.2603257780662117,0.2596792202609611,0.2589609122753272,0.25819665192697605,0.25775486429944816,0.25722197812828773,0.2569087764981881,0.25635492960017414,0.2558417948831641,0.25545160289096797,0.25458818218096363,0.2541484100079409,0.25353450256567356,0.2527807225807492,0.25252798458580394,0.2517145471475272,0.2511667466130287,0.25075599698488005,0.249992945909232,0.24975230064131762,0.24898562174756028,0.24824393448966675,0.2476348641382118,0.24714954269337278,0.2469391292430356,0.24637681743610002,0.2458141025382634,0.24535135418388201,0.2448692574662512,0.2445504125635372,0.2438752353043135,0.24352696476582433,0.24295175405005584,0.24231003333561751,0.24185454061745465,0.24100966208889768,0.24047234191782588,0.23994147120117057,0.2394359952112801,0.23860804650056636,0.23781113578923183,0.23733105452610617,0.23679333126413338,0.2366788534482411,0.23619272582160003,0.23535389365655848,0.23487260312072974,0.23444976076555024,0.2340873820455251,0.23331223824284614,0.23245567007815932,0.23206265644965596,0.2311859337399177,0.2309364204721807,0.23038861993768214,0.22953527650020356,0.22898102651128857,0.22817887561824066,0.22786970489715136,0.22740655345186894,0.22676160801022238,0.22638955510857253,0.22600299093448564,0.22551162312613118,0.22492754441054003,0.22456798732682207,0.22402341151953176,0.22369569861699512,0.22325915117118061,0.22270167645505737,0.22244611682380494,0.2220853504673839,0.22152062011504214,0.22104739139723398,0.22041856959162862,0.21956885397225928,0.21896139598440845,0.21847123744875707,0.21804678272997344,0.21747237819600698,0.21684395948130264,0.21635259167294818,0.21547949678131917,0.2153166480573034,0.2146999189787289,0.21390220208559232,0.21347129791239222,0.2129887981038604,0.21260868338418998,0.21138610868136873,0.21090078723652972,0.2100857374346489,0.20956373471781622,0.20898610545664154,0.20837864746879067,0.20800175747632849,0.20712584094839226,0.2066687358666253,0.20635472805472363,0.20557998734294572,0.2053913408012641,0.20499066844564118,0.20477259626818445,0.20449688209188055,0.20370561465316042,0.2031783717546144,0.20260719194785617,0.20164138614899046,0.20128384451977765,0.20056634271594587,0.200359960174619,0.19944212219297575,0.19869962875328015,0.19837715603245687,0.19809942640164785,0.19794463949565266,0.1975556567761596,0.1968353333360206,0.1965523635234982,0.19608276262379928,0.195690555177098,0.19506213646239365,0.1947912593769021,0.1945574666543052,0.1937911908514489,0.1933586743146447,0.19267301669199421,0.19237432633433166,0.19183861852686399,0.19096189581712572,0.19065756218684876,0.18988161220236777,0.18931930039543218,0.18881019658743242,0.18810519060153255,0.1878439876976657,0.18737116207075857,0.1870930293490485,0.18675523917398612,0.18632352881898398,0.18588012882785196,0.1855354861074721,0.1843786152215186,0.1840142210469883,0.18333057887884296,0.1829222477961005,0.18213138344828142,0.181737563637976,0.18127924928350592,0.1803408536659102,0.18012560312476067,0.1794181785934546,0.17876557442468852,0.1783358795241915,0.17775341317220447,0.17740111172470505,0.17659210828633964,0.17609590338717285,0.17569079703163862,0.17511276467956288,0.17490436668373086,0.17459438978083947,0.17436543414905495,0.17397080815694746,0.17355844616519472,0.1732686238073548,0.17280103836216104,0.1726313370928278,0.17246123273259353,0.17192713728873,0.1717042280204609,0.17104960839718966,0.17085290003748746,0.17051349749882097,0.169696432242435,0.16927197752365136,0.16884631353216464,0.16856011899243398,0.1682098329994397,0.16782689664346206,0.16758987919365695,0.16677160466456792,0.16643744230761479,0.16588359540960082,0.16519592233244518,0.1648774805206322,0.1644409330748177,0.16413821180814486,0.16381090199650924,0.16356864436499075,0.16320425019046045,0.16283663128872192,0.16254035947646553,0.16228238129980693,0.16185631421741917,0.16149877258820636,0.1611432464134987,0.16092920514505227,0.16054626878907463,0.1601859055235546,0.15982352680352946,0.15954055699100705,0.15912658263565016,0.15869930628055934,0.1585300081021271,0.15815755210957624,0.15782419593442518,0.15771173357303805,0.15713410431186337,0.1566939290479396,0.15635533269107516,0.15602761978853852,0.15564387725075882,0.15490460853827145,0.15467041272477355,0.15419476546155925,0.15387188964983495,0.15344582256744718,0.15313745802815992,0.15275210312677612,0.1522627507729268,0.15176049951024456,0.15161941769488438,0.151420290789776,0.15110628297787435,0.15058952044275506,0.15024568390417722,0.150006650999867,0.14951568628241355,0.14928471519612388,0.14878649484245193,0.14834470721492404,0.14783479722512224,0.14754699032178747,0.14720678160131892,0.14668356961178317,0.14616358234945562,0.14582458290169015,0.1453412769113563,0.14512844491561291,0.1446975407424128,0.14445971711080566,0.144021154210486,0.14345884240355042,0.14332703167891392,0.14303761241197502,0.14281671859821107,0.1426232349657171,0.14235638878923587,0.1420617293405836,0.14164130553081025,0.14148087535220066,0.14117210772201239,0.14095806645356596,0.1405831919156089,0.14008698701644207,0.13991728574710882,0.1392449301241923,0.13845527504907632,0.13826743468919675,0.13799252669469492,0.13768778997351694,0.13709040925819183,0.13640273618103618,0.13621126800304736,0.13576464328470714,0.13559977910618623,0.13532930511159572,0.13491936166524912,0.1346916153061677,0.13445822567447185,0.13433084894974665,0.13411156749958683,0.1338797902314951,0.13369194987161556,0.1333295711515904,0.13310222788341,0.13290592261460882,0.1327809644352898,0.13257740353027012,0.13229564299045077,0.13216907244752765,0.13177605881902427,0.13146164791622159,0.13131210119193978,0.13099446556192887,0.130733262658062,0.130247941213223,0.13006211630784859,0.1299170035834781,0.12974448067783767,0.1295868721355353,0.12940991522998352,0.1292450510514626,0.12897901105678342,0.12879600778771622,0.12852271215681849,0.1283026245248566,0.1279813610767364,0.12771290253665105,0.12760366490247216,0.1274714510869346,0.12714091654809076,0.1269849203693925,0.1268571405537663,0.12667816819370936,0.12642865492597236,0.12619445911247446,0.12583288657425135,0.1255426611255104,0.12538384331050495,0.12527017167641474,0.12496019477352338,0.12457363059943648,0.12441199114812382,0.12387870188606233,0.12373882934340523,0.12348609134845999,0.12321118335395816,0.1230136688124539,0.1228238129980692,0.12256865645771778,0.12232599573529827,0.12212928737559607,0.12181124865468412,0.12158430847740474,0.12109858394166469,0.12047218068146548,0.12010053087071665,0.11989011742037947,0.11966801433391244,0.11917382488925078,0.11895373725728889,0.11883684089599046,0.11855870817428038,0.1179202121870503,0.11774809237231088,0.11756186437603544,0.1172148031102494,0.11694997238827327,0.11633042167339157,0.11615548022234494,0.1159527254991273,0.11578141186618994,0.11560445496063818,0.1152388515134048,0.1150131206088285,0.11468984170620317,0.11449192407379788,0.11433955571320889,0.11412309589935626,0.11331086773378264,0.11314882519156895,0.11261553592950746,0.11233256611698504,0.11219632139243721,0.11191738248892508,0.1115215472241145,0.11118496632175522,0.11105234941531665,0.11088385741868649,0.11070770669493678,0.11053881160740558,0.110211904886671,0.10982775925799027,0.10954116162735858,0.10925778872393513,0.10903165472845781,0.10875271582494568,0.10852093855685396,0.1083649423781557,0.10821741110837906,0.10802957074849949,0.10778973166238719,0.10756561312141501,0.10740074894289411,0.1071262440392933,0.1069682324060899,0.10681143004558959,0.10653450659658259,0.10628862114695485,0.10614834551339673,0.10583595006509917,0.10566826425027108,0.10549775679913577,0.1053014515303346,0.10460813518056457,0.10443279063861692,0.10420786591584268,0.1040224441013693,0.10380275956030845,0.1036318490182721,0.10312476066477752,0.10302398793952024,0.10291757194164856,0.10274424285420605,0.10255962722153472,0.10234840758939548,0.1020037648690156,0.10188969014402438,0.10163292124006885,0.10141928306252343,0.10129795270131367,0.1011056783415228,0.10094403889021013,0.10063204653281362,0.10046315144528242,0.10023097108628967,0.10006207599875848,0.09978958654966281,0.09967188400656232,0.09955176291805565,0.09928572292337645,0.0991700358347811,0.0985049358480831,0.09831024294288605,0.09805428022073258,0.09771568386386814,0.09744561296017865,0.0973077558720267,0.09703808805923823,0.09681840351817739,0.09653341825114982,0.09632985734613013,0.09615652825868762,0.09602149280684287,0.09588806971860224,0.09561638645130864,0.0953926710012375,0.09524110882245056,0.09507342300762245,0.09492266701063756,0.09469088974254584,0.09445346920183971,0.09435108411297832,0.09421080847942019,0.0940044259380933,0.09389196357670618,0.09364769049068256,0.09332803940616649,0.09302169032138438,0.09268752796443126,0.09257788723935134,0.09236465215270696,0.09212803779380288,0.09202484652313943,0.09183095979974444,0.09155484253253951,0.09139844326294022,0.09129404271957368,0.09105984690607578,0.09094174127207427,0.09082041091086451,0.09071641345839901,0.09059790473349645,0.0904447301911054,0.09032219055719255,0.09009484728901214,0.08986347311182144,0.08971392638753965,0.08958534039011137,0.08923021730630475,0.08902544712858197,0.08889645804025266,0.08844419004929802,0.08817532841831162,0.08807092787494508,0.0878286702434266,0.08764365151985425,0.0874489586146572,0.08725668425486631,0.08689148389853396,0.08677055662822523,0.08641462736261654,0.08618043154911864,0.0860260477340245,0.0859123760999343,0.08573985319429385,0.08557660137937706,0.0854746193814167,0.08520777320493544,0.08490948593817392,0.08479782975858886,0.08462611303475047,0.08438345231233095,0.08412063704485999,0.08398479541121319,0.08355348814711205,0.08343739796761568,0.0831576528823015,0.08297223106782811,0.08270296634594067,0.08255986907607535,0.0824345078058553,0.08212735253927113,0.0818996061801897,0.08170451018409161,0.08142315273517331,0.08128005546530798,0.08113171801372927,0.08097531874412998,0.08083222147426466,0.08062704820564086,0.08052305075317535,0.08040131730106456,0.07993131331046464,0.07973903895067376,0.07962133640757327,0.07936295514001362,0.079257345323944,0.07908200078199634,0.07892318296699088,0.07878411660613585,0.0786365853363592,0.07847051188513522,0.07815489170962944,0.07797793480407766,0.07780903971654649,0.07764216008352043,0.07743980845120384,0.0773257337262126,0.07716490045670199,0.0770056795507955,0.07663201428554153,0.0764002370174498,0.07619748229423218,0.07595441848091163,0.07563718594180173,0.07548441449031171,0.07534413885675359,0.07512203577028656,0.07499183740925416,0.07473426232349657,0.07452626741856556,0.07442025451159491,0.07419089578890936,0.07408125506382944,0.0738768879770077,0.07369307852613843,0.07354756271086693,0.07335085435116473,0.07322871780815292,0.07291995017796463,0.07281071254378575,0.07270913363672642,0.07254991273081993,0.07238585473410108,0.07228387273614073,0.07217705364736801,0.07205370783165312,0.07194890419738555,0.0718275738361758,0.07160829238601597,0.07149865166093605,0.07138296457234071,0.07123704566616818,0.07097705203500441,0.07086982985533068,0.07074487167601166,0.07063926185994203,0.07049011822656127,0.07037805895607518,0.07024786059504279,0.07009549223445379,0.0698725829661847,0.06959969042618801,0.06943482624766711,0.0692171571611114,0.0690119838924876,0.06883784862324303,0.0686322722637182,0.06847829153952507,0.06833882208776901,0.06807923154750628,0.06788494173321026,0.0677067755549554,0.06759874719347961,0.06746653337794206,0.06727022810914089,0.06712471229386939,0.06693324411588057,0.0667397604833866,0.06651685121511752,0.06636206430912235,0.06616616213122221,0.06605007195172584,0.06594526831745827,0.06579209377506721,0.0654260872369328,0.0652987105122076,0.06503267051752841,0.06483394670332107,0.06468802779714854,0.06446149071077019,0.06431275016829045,0.06414022726265001,0.06394553435745295,0.06367546345376346,0.06350334363902403,0.06333001455158152,0.06312645364656183,0.06299665837643047,0.06282897256160237,0.06259034274819314,0.06240693638822491,0.062301326572155286,0.062148555120665264,0.06197200130601452,0.06184301221768521,0.06170031803872091,0.06152779513308046,0.061385100954116166,0.06098644405299839,0.060692590786148186,0.060575694424849745,0.060324165702607596,0.06020122297779372,0.059987181709347276,0.059868672984444725,0.05971832007836087,0.05961351644409331,0.05950065099180516,0.059221308997392,0.059085467363745196,0.05891616918531298,0.05877952136986412,0.05847518773958715,0.05827404537997364,0.05811482447406715,0.05793061193229685,0.057729066481782304,0.057599674302551966,0.05744085648754651,0.057242535764240196,0.05712805794834793,0.05686403340817388,0.05669916922965298,0.056566552323214406,0.056293659783217716,0.056085261787385675,0.05597441178960268,0.055852678337491884,0.055730541794480074,0.05554189525279846,0.05529681598497277,0.0551517032606023,0.054990063809289634,0.05482116872175844,0.054649451997920054,0.05452489690950206,0.054353986367465724,0.054190331461647916,0.054027482737632165,0.05390373383101623,0.05380013946945176,0.05360302801884853,0.053457915294478055,0.05330111293397774,0.053162852754924765,0.052898828214750705,0.05277145149002552,0.0526464933107065,0.05249654349552368,0.05237440695251186,0.05208942168548429,0.0518886824167718,0.05158031787748455,0.05128888315604052,0.051100236614358904,0.05085556043743424,0.05067175098656498,0.050543971170938756,0.050304132084826446,0.05012596590657159,0.04990547518370868,0.049778501549884516,0.04965958973408093,0.04949029155564871,0.04926052974206213,0.049047294655417746,0.04885502029562687,0.04860026684617648,0.04849909103001818,0.04826731376192645,0.048147192673419784,0.04803231176662649,0.047898485587484836,0.04779811595312859,0.04769411850066309,0.04746919377788885,0.047295864690446346,0.047098350148942085,0.04697782596953439,0.04682223288173716,0.04666502743033581,0.04654651870543326,0.04642156052611424,0.0461909925307256,0.04604144580644381,0.045933820535869044,0.04582458290169016,0.04572219781282877,0.04552548945312657,0.045329587275226436,0.04515907982409113,0.04501154855431448,0.04454033529101148,0.04439885038475026,0.044221490388297466,0.044082424027442425,0.04396270602983679,0.04383492621421057,0.04370956494399052,0.04358702531007767,0.04345924549445145,0.04331372967917995,0.04307227822946352,0.04296465295888876,0.042758673508462894,0.04255470951254217,0.04242692969691595,0.04227415824542593,0.042160889702236755,0.041951685524602655,0.04183357989060113,0.041699753711459474,0.041591322259082644,0.04146475171615951,0.04129948444673758,0.04107979990567673,0.04092098209067127,0.04080247336576871,0.04066743791392397,0.04053844882559466,0.04026837792190517,0.04015228774240879,0.04000233792722597,0.039809660476534066,0.03967784975189755,0.039539186481943545,0.03933885030413208,0.03921913230652645,0.03903250121934997,0.038843048495866304,0.03873784177069771,0.03858869813731695,0.038481072866742176,0.03836054868733448,0.03820132778142799,0.038030417239391656,0.0377954152440917,0.037694239427933394,0.037500755795439426,0.037223026164630385,0.03707106089494242,0.03695335835184192,0.03676068090115002,0.036583320904697215,0.03646884308880496,0.03635315600020961,0.03622013600287001,0.03607462018759851,0.0358791211005994,0.0355493927435576,0.0354066985645933,0.03528778674878972,0.03517330893289746,0.03505439711709388,0.03488792057496886,0.03476860566826425,0.034644050579846264,0.03447031840150272,0.034337701495064155,0.034212743315745135,0.0341083427723786,0.033975322775039,0.03379554423318003,0.03360649460059738,0.033473071512356754,0.03329006824328955,0.033156242064147884,0.03292809261416542,0.03279587879862788,0.03249597916826223,0.0323540911711,0.03223195462808818,0.03208885735822285,0.03198768154206455,0.03184780899940746,0.031703099365938014,0.03147817464316378,0.03128428791976879,0.03108717646916556,0.030924327745149808,0.03082153956538739,0.03050793484438676,0.03040434048282228,0.030264871031066214,0.030162485942204827,0.03001011758161583,0.029832354494262,0.029529230136688126,0.029427248138727765,0.02924706650596776,0.029144681417106372,0.029041490146442923,0.028895571240270392,0.028739575061572136,0.028607361246034593,0.028469101066981615,0.028323988342611142,0.028205882708609617,0.028051498893515478,0.027877766715171937,0.027720158172869564,0.027593587629946428,0.027487574722975777,0.02724289854605112,0.027072794185816845,0.026906720734592857,0.026779747100768695,0.026622944740268377,0.02652136583320905,0.026381090199650924,0.026253310384024703,0.026135607840924207,0.025989285843850646,0.02588166057327588,0.025773229120899053,0.025661976032215025,0.025506382944417795,0.025347565129412334,0.025138764042679264,0.024996472954615996,0.024880382775119617,0.02476066477751398,0.024632884961887754,0.024499864964548156,0.024302350423043902,0.02415199751696005,0.023996807520063848,0.023808967160184293,0.02367312552653749,0.023505842802610418,0.02330953753380925,0.023001172994521996,0.02284316136131859,0.02270530427316664,0.022594051184482614,0.0224400704602895,0.022313499917366364,0.022193781919760725,0.02209059064909728,0.02191564919805065,0.021786660109721342,0.021669763748422905,0.02149079138836599,0.02136583320904697,0.021263045029284555,0.021094553032654395,0.020965160853424057,0.020836977946896804,0.020637851041788433,0.020522163953193083,0.02039599650117098,0.020253302322206682,0.020150917233345292,0.02004006723556229,0.019935263601294727,0.019821591967204524,0.01971195124212461,0.01959223324451897,0.019463647247090692,0.01935239415840666,0.01924315652422778,0.019102880890669655,0.018973488711439317,0.018809833805621505,0.018681247808193226,0.01855508035617112,0.01843495926766445,0.01832491545168351,0.01811651745585147,0.01800002418545406,0.017843624915854773,0.017719069827436786,0.017612250738664077,0.017475602923215216,0.017360318925520896,0.017256724563956417,0.017139022020855925,0.017037040022895564,0.016920143661597126,0.0168088905729131,0.01666579330304777,0.01655937730517609,0.01639572239935828,0.016163542040365523,0.01602246022500534,0.015918059681638806,0.01581446532007433,0.015708452413103677,0.015593974597211418,0.015452086600049177,0.015312617148293111,0.01521144133213481,0.015107846970570334,0.014998609336391449,0.01484301624859422,0.014667671706646566,0.014545938254535781,0.014381477166915912,0.014269820987330853,0.014139622626298457,0.013990478992917693,0.01383609517782355,0.0137300822708529,0.013589403546393748,0.013449531003736652,0.013307643006574412,0.013195986826989354,0.013059742102441521,0.012955341559074986,0.012837235925073463,0.012555475385254129,0.012430114115034082,0.012256381936690543,0.012094742485377877,0.011914560852617873,0.011810966491053397,0.011701728856874514,0.011544926496374197,0.011351442863880234,0.011231724866274594,0.011098301778033965,0.010981808507636557,0.010874989418863848,0.010739953967019102,0.010632731787345364,0.01052389724406751,0.010385637065014532,0.010279624158043881,0.010162727796745444,0.01004905616265524,0.009932562892257833,0.009810023258344989,0.009680227988213622,0.00957018417223268,0.009467395992470262,0.009359367630994465,0.009217076542931196,0.009101792545236876,0.00898449309303741,0.008854697822906044,0.008732561279894229,0.008627757645626665,0.008526178738567335,0.008420165831596684,0.008290773652366345,0.008185163836296723,0.008034407839311843,0.007925976386935018,0.007819963479964366,0.007712338209389599,0.007524497849510043,0.007386237670457064,0.007256442400325697,0.007141561493532406,0.00702909913214529,0.006907768770935534,0.006764671501070206,0.006620364958501792,0.006487748052063221,0.006376091872478162,0.006258389329377668,0.0061374620590689405,0.006012906970650951,0.005905281700076185,0.005797253338600388,0.005622311887553762,0.005496144435531656,0.005391340801264093,0.0052704135309553654,0.0051381997154178235,0.0050354115356554055,0.0049072286291281545,0.004785898267918399,0.004649653543370566,0.004546865363608148,0.004416263911674722,0.004211896824852973,0.004051466646243394,0.0039361826485490746,0.0038313790142815106,0.003673770471979136,0.003531882474816896,0.0034032964773886157,0.0032956712068138486,0.003032452848441852,0.0028518681247808194,0.002744242854206052,0.0026426639471467213,0.0025031944953906554,0.0024020186792323536,0.0022234494100764664,0.002115017957699641,0.0018913025076284953,0.0017647319647053608,0.0016635561485470588,0.001545047423644506,0.0013362463369114368,0.001216528339305797,0.0010968103417001568,0.0009936190710367096,0.0008739010734310694,0.0007715159845696803,0.0006650999866980003,0.00048491835393799657,0.0003107830846934292,0.0001709105420363346,2.216999955660001e-05],\\\"y\\\":[0.8723586075316335,0.8723917253605943,0.8725836007351413,0.8736405175568771,0.8763742786550051,0.8781371022617219,0.8799975723367776,0.8821320123645796,0.8841548892355133,0.8855068688985283,0.8872044350684394,0.8879340556068921,0.8895450435218039,0.890963471500956,0.8918224253864373,0.8922724399494311,0.8929670332277636,0.8934903772790447,0.893698558550712,0.8937976843431613,0.8940985373120137,0.8941744910486217,0.8945281818163796,0.8946591691494459,0.8947660522343505,0.895023170749132,0.8952818354696027,0.895458772319735,0.8954781890826428,0.8955736858690715,0.8956609459699018,0.8957044799239166,0.8957170385581051,0.8957867737045933,0.8959047023060989,0.8959981153369233,0.8961129945931658,0.8962108383822176,0.8962063775225778,0.8962703382414504,0.8963839399011234,0.8965002452940799,0.8965962898914012,0.8966395112016293,0.896656246473265,0.8967812792222921,0.8968847371916024,0.896934954751357,0.8970922737056531,0.8972732573929992,0.8973379639803639,0.8973810339267067,0.8973861394845025,0.8974893205964153,0.8975259124705002,0.8975908940170181,0.8976145006479791,0.897686344252638,0.8977665964162268,0.8977718352576447,0.8978344256195352,0.8978824390949359,0.8979989098808083,0.8980566994438779,0.8980628321582291,0.898081214996561,0.8981673852840324,0.8981828003552608,0.8981681114507586,0.8982299943346006,0.8983234456525668,0.8983438418625732,0.8983515522993031,0.8984143713499128,0.8985498446908393,0.8985769097542813,0.8985870277282831,0.8986132234977259,0.8986534820706482,0.8986730185265264,0.8987187206134354,0.8987295170779296,0.8987308059583624,0.8987402474049161,0.8987223493132048,0.8987078784418743,0.8987214141155043,0.8987850575514982,0.8987830724555335,0.89888828295199,0.8989021938761709,0.8989161859633279,0.898974061677497,0.8989774327192434,0.8990021112217317,0.8991083728684305,0.8991399676375404,0.899230888445846,0.899221467643185,0.8992077528947023,0.899226997537262,0.8992223508020533,0.8992113939736678,0.8992527380628724,0.8993030462089078,0.8993115046271333,0.8993199612935985,0.8994042025549015,0.899492823350986,0.8995229002985831,0.8995261075252403,0.8995885188098436,0.8995765216278631,0.8996995178877265,0.8997117993984001,0.899710260172299,0.8997589044527244,0.8998996942831436,0.8999244520946135,0.8999486828670366,0.9000579652566673,0.9000523190361898,0.900128077995223,0.9001252893956946,0.9001526924054676,0.9001849340301437,0.9001960273582287,0.9002308749479685,0.9002250060961239,0.9002753677041937,0.9003324211407766,0.9003284766568521,0.9003274290512558,0.900378091363436,0.9004424670314678,0.9004581609900821,0.9005118471945673,0.9005074614907285,0.9006078781266919,0.9005912270978745,0.9006428314534471,0.9006824858905035,0.900737885421961,0.9008325290811444,0.9009935801707359,0.9010914729751817,0.9011008244782146,0.9013204265170923,0.9013595125755428,0.9013600580322184,0.9014032018297112,0.9014316537830613,0.9014496905018299,0.9014160995110347,0.9013933946446819,0.9013832851834006,0.9014302266233016,0.9014963399594212,0.9016042275176769,0.9016751354577671,0.9017592187751967,0.9017895245597938,0.9016122176658612,0.9015973160247269,0.9015777394216752,0.9016185099173709,0.9016215840449732,0.9017043767643848,0.9017041099616431,0.901711454250776,0.9018084367362523,0.901837942393378,0.9018968184994883,0.9019392522478051,0.9019558268546419,0.901999146602676,0.9020573037157839,0.9021505162331517,0.9022142832326789,0.9022336050539094,0.9023555378075552,0.9023964799245698,0.9023824245583985,0.9024002253788693,0.9023598718258427,0.9023669168778286,0.9023699514485408,0.9024274458193752,0.9023634021632588,0.9024747257810951,0.9024391289474338,0.9025200609067277,0.9025464245673269,0.9025981621580709,0.9026105597561842,0.9026158638959773,0.9026106028302733,0.9025849333389744,0.90258919124658,0.9027016738655068,0.9027214625317179,0.9027433388936477,0.9027251659524191,0.9027496211066509,0.9029500502120476,0.9028840712202342,0.9028950377195731,0.9029312960318506,0.9028995851245893,0.9029437174521173,0.9029697066803953,0.9029689193312501,0.9028985239982016,0.9028933824645006,0.9028746235570052,0.902872396347831,0.9028161475849984,0.9028428027867167,0.9028285182331508,0.9028008992741168,0.9027680612480742,0.9028059140554374,0.9028518405830367,0.9028775744649955,0.902835922216642,0.9028206167743917,0.9027566214281051,0.9027406550266232,0.9026708597324432,0.9027803665385885,0.9027374587457262,0.9026320468299533,0.9027143082434046,0.9026586344403574,0.9026336128747986,0.9026620957381697,0.9027567461398585,0.9027458352680038,0.9027844317897236,0.9029956302453764,0.9030032921893104,0.9030423165243746,0.902980865069716,0.9029126435395112,0.9028551608510389,0.9028277434835968,0.9028185027277311,0.9028656741900233,0.9029808834697047,0.9030422104395174,0.9031182557689115,0.903199295595067,0.9032006353379948,0.9031165782396303,0.9030922969361698,0.9030643670723618,0.9029830961913409,0.9029626788842574,0.9027773242562688,0.9030187579022324,0.9029589045713713,0.9029768984575208,0.9029860763664319,0.902916519169465,0.9030777752521437,0.9030657798211389,0.9031513186023882,0.9031514074611476,0.903193941856851,0.9031730573941663,0.9032240309592,0.9031591242707364,0.903131634819533,0.9031026039149751,0.9030744863965656,0.9029845429223798,0.9029537299899845,0.902891627192206,0.9030195861801059,0.903119535927099,0.903027579599746,0.9029201743001082,0.9030789095446051,0.9030048462448628,0.902960997697018,0.9028945582926208,0.9028555012647566,0.9028170310993491,0.9028514920461769,0.9029289928551029,0.9029530087789774,0.9032074547018565,0.9031673995228878,0.9031379607552322,0.9031094161645584,0.903308457245682,0.9032421469225573,0.9032776068502799,0.9031421064643715,0.9033431530083914,0.9038775603575002,0.9037621822938955,0.9039581459920016,0.9039282128200112,0.9039178258798592,0.9038807012123868,0.903926445120301,0.9038629176993419,0.903761228016262,0.9039214726452719,0.9038332243104513,0.9038155215241428,0.9039700313737227,0.9039886223798155,0.9039950698271384,0.903917657123839,0.9039775966456269,0.9040327133634335,0.9041380339301452,0.9043761061401816,0.9044246986060691,0.9043170848761558,0.9044663372420239,0.9044665654187237,0.9044869018483097,0.9045553730953517,0.9045004575758819,0.904474764464169,0.9045589764069347,0.90456283900708,0.9046235583396757,0.9046592630037689,0.9045757102951909,0.9046018117369042,0.9047509423886742,0.9048466944687653,0.9048029866887028,0.9048632035802882,0.9047884222450427,0.9047821134334685,0.9047496262246515,0.9048085274797664,0.9047006782157774,0.9048392974622994,0.904905632970946,0.9050051017869363,0.9050192173136906,0.9051001917308811,0.905161934449868,0.905155236086814,0.9052191243218889,0.9051712181092746,0.9051446371883434,0.9051700151463807,0.905255904903527,0.9052034686532439,0.9051423636753201,0.9051187868355832,0.9050873752065448,0.9051847847911375,0.9050868465956726,0.905062895324406,0.9050622547996088,0.9050774448107411,0.9050419918131386,0.9050802862027368,0.9051203553369109,0.9050211484749874,0.9050562468254475,0.9050143910850328,0.904927530739595,0.9049592472046099,0.9050786967104697,0.904997965029864,0.9048422491413746,0.9048425766200585,0.904778771826189,0.9046516718779444,0.9047157044173529,0.9046700410549952,0.9045792785039904,0.9046277236634731,0.9045812511446587,0.9046060385221961,0.9045811208682839,0.9045589017370427,0.9045664481440443,0.9045347702373916,0.9045092275019209,0.9044866886051148,0.9044941943125232,0.90445447298811,0.9044651936766201,0.904496036482528,0.9045374353626211,0.9045315568486515,0.9045523306989015,0.9045576198079621,0.9045530967021693,0.9048157298443096,0.9047387855379633,0.9046584381065904,0.9045612863713893,0.904620388286704,0.9045900604438833,0.9047008191621061,0.9046150591191608,0.9047143307220911,0.9046921786347794,0.9047583958145275,0.9047231435103039,0.9046519640804803,0.9046035573377559,0.9046099297145322,0.9044720408240372,0.9044967604900491,0.9045552753687733,0.9045273198254571,0.904485024260752,0.9045721678197333,0.9045260221134358,0.9044612377834331,0.9044877217539482,0.9044576868812153,0.90454181340393,0.9045675104195949,0.904542381516936,0.9045578775915855,0.90452592677642,0.9045309722971564,0.9044223462378779,0.9043418886156692,0.904212662126646,0.9043361739306215,0.904321545717941,0.9042643261364393,0.90413202215835,0.9040142202081513,0.904108216809267,0.9040649835654071,0.9039981573229467,0.9039714871457104,0.9038907090889402,0.9040120810108704,0.9041948905879951,0.9043193150480262,0.9043001397615177,0.904198450471941,0.9040819849992323,0.9040386496627222,0.9040419728089416,0.903997797145254,0.9038305771719826,0.9039617321935709,0.9038820449377791,0.9039405831079516,0.9038908476981138,0.9038816945760293,0.9037462927244069,0.9037300973774985,0.903689115220032,0.9037507840485726,0.903817496751275,0.9037460995162124,0.9037135690545307,0.9036456453224085,0.9036366995227724,0.9036968223535535,0.903761081670051,0.9036621352049751,0.9036010220819019,0.903592454755505,0.9037326068371804,0.9040102497202136,0.9039906189551895,0.9039612898131475,0.9041690536916264,0.9041761748639752,0.9041659822325389,0.9041615767086221,0.9042661287158318,0.9040844564118912,0.9040727546872506,0.9040825321166811,0.9040343830640656,0.9039640445637928,0.903966662681673,0.9038801989845633,0.9039844000515248,0.9043389647078859,0.9043524417595685,0.9042738121609489,0.9043097575165449,0.90420916936787,0.9041165438565341,0.904162455588318,0.9040518654359363,0.9039699604445753,0.9039866937967229,0.9039545295220185,0.9038493480462413,0.9038749220933165,0.9038674966307634,0.9038385886446922,0.9038172822837031,0.9036792723804834,0.9036365996364181,0.9037294563843237,0.9035938387269853,0.9034786928548061,0.9034597696058612,0.9039890850809635,0.9040217596918332,0.9038943672541935,0.9038234902875797,0.9042817089914735,0.9041228101860214,0.9040613507665592,0.9039492174109663,0.9039530849993435,0.9039111884093348,0.9038791271490868,0.9037955625644023,0.9036471531582322,0.9036041154375705,0.903686495069596,0.9034400702848036,0.9034213383899775,0.903465174706189,0.9034369135409175,0.9033081311343804,0.9032932034739104,0.9032160189662276,0.9030862376243526,0.9030751723716217,0.9029423428658062,0.902947075375681,0.9028447563811017,0.902854430360732,0.9028662432361068,0.9027665121122148,0.9026324186102076,0.9026105314810074,0.9026893489463632,0.9027041691808003,0.9025892126801047,0.9027096331062904,0.9027295091867892,0.9026642358132124,0.9026849629640431,0.9026070233470518,0.9025439043317502,0.902338576702627,0.902189718884826,0.9021459640016342,0.9021894032757128,0.9022881104412712,0.9021662823748919,0.90217933020119,0.9021011679249644,0.9020981380309782,0.902039655516466,0.9020725857543669,0.9020316105387383,0.9020186361155884,0.9019892691348764,0.9019803337726678,0.9020398146662706,0.9019850603283927,0.9018960681433612,0.9016912676993132,0.9016875128529922,0.9017728348046853,0.9016832047395755,0.9017182694411201,0.9017150629651476,0.9016389210678317,0.9017338331013905,0.9016707154878134,0.9016395567784443,0.9016159522219038,0.9016089838386186,0.9015755212786575,0.901503581509945,0.9014142595452515,0.9014709673195661,0.9014213152187727,0.9013740588469211,0.9014940382721087,0.901637531066372,0.9016409034107402,0.9016571703050982,0.901640296076096,0.9016144741252471,0.9015864976934725,0.9014630497914401,0.901465039810501,0.9014798743618235,0.9013998941037967,0.9013302847466226,0.9013654920389842,0.9011907035222585,0.901234849946355,0.9010725701833968,0.9010794512082282,0.9010934216012457,0.9010347701164116,0.9009549760401807,0.9010209522440152,0.901007270972095,0.9009966634747099,0.9010465985332655,0.9010156901321751,0.9009254848353044,0.9008435975061861,0.9011425354064706,0.9010853775405336,0.9012267325097156,0.9011668629733139,0.9010156271820797,0.9009330763549274,0.9007828256511797,0.9006516030277072,0.9005317567674536,0.9003285938352729,0.9001877750162073,0.9000654566040406,0.9001364602668162,0.9000397925811706,0.9001263007238928,0.9000103481252052,0.8999226394767356,0.900079223342688,0.8999635986744897,0.8998239215193058,0.8997416192998757,0.899647880965709,0.8995847308447368,0.8995034012432662,0.8993512368326536,0.8994483338332456,0.8994022931420282,0.899336628381031,0.8992589957802272,0.899406674611977,0.8994028297673476,0.8997168758588253,0.8995464090795927,0.8994624298393589,0.8994672333659037,0.8993863569106039,0.8993144628126127,0.8992447345649452,0.8994071390110383,0.8996565659972233,0.8995190425538906,0.8994369280418862,0.8993407082063833,0.8992502378399602,0.8990811198308262,0.8993261689230359,0.8991974656209314,0.8993286480946294,0.8991528483896668,0.8990787029056293,0.8990204839284961,0.8989304566216187,0.8987281181619255,0.8987105298690277,0.89856762593056,0.8986096240118184,0.8984362119163678,0.8984525181220192,0.8984272148694019,0.8983412838090441,0.8983005183580658,0.8981894121701428,0.8981596166351689,0.8981103350071051,0.8980519365137027,0.8979622088110925,0.8978821871331832,0.898034110348605,0.8979052724617249,0.8979545065027721,0.8978976342524096,0.8978328452354134,0.897716073704019,0.8977800375202095,0.8976599415740381,0.8976196737896087,0.8974047261027034,0.897309685678924,0.8974473374236371,0.8976393050708127,0.8977165470153919,0.8976406730521169,0.8980817649117657,0.8982001121393408,0.8982315525169222,0.8982503306376428,0.898085027588761,0.8979758335717632,0.898014248208065,0.8979236753519667,0.8978576801847155,0.8979742015037783,0.8979210531009009,0.8978482598427595,0.8976788740697075,0.8975757492702581,0.8974629842471773,0.8972973201785066,0.8972820372997121,0.8969338680556665,0.8967610644777814,0.896508690780467,0.8964346167626003,0.8961728037424442,0.8959827353655246,0.8958668610689894,0.8958922776292586,0.8958193145065011,0.8956445515567292,0.8955245029647715,0.8956004171876962,0.8955918200256787,0.8954821899721681,0.8959529428339967,0.896054263258002,0.8961360745399549,0.8961982409110043,0.8961138916645133,0.8959540850596289,0.895883874420264,0.8958263597859512,0.8956854446809296,0.8956282627728062,0.8957757821709124,0.8955492679472187,0.8954999898373754,0.8954922252823724,0.8953230005242815,0.8952591813073297,0.8951925514928766,0.8950447791247363,0.894865321023496,0.8951270821515432,0.8949353231196393,0.8950896771990068,0.8951901597036256,0.8951954483316772,0.8952178101749214,0.895471818896034,0.8952512482736641,0.8950429535764208,0.8949081125643107,0.8950944666506594,0.8951355002668909,0.8951285088238777,0.8952214607104209,0.8950590791990575,0.8949327389499704,0.8951296812413465,0.8950136695345182,0.8950930463738954,0.8950668398907294,0.8949537664528177,0.8949035593269425,0.895139861069806,0.8951197343545494,0.8951843251934577,0.8950334166469025,0.8948580415063607,0.8947537605403297,0.8947713027357352,0.894634201524232,0.894763700280668,0.8946691705991512,0.8949111441101468,0.8946556733801873,0.8949786744835343,0.8951209026735036,0.8949728793825843,0.8948585696558062,0.8947291773378729,0.8946134623176406,0.8945213791989787,0.8943843451396735,0.8942688034897108,0.8941491470630096,0.8940315180327116,0.8940907053169219,0.8937570744226053,0.8937125998354104,0.8939768332793542,0.8937868158158482,0.8938311621013795,0.8935581183461639,0.8934038498586372,0.8932815082456113,0.8930709650408206,0.8930166171251981,0.892980586779484,0.8929330139957617,0.8928153709933546,0.892660877368949,0.8925669186064178,0.8924100503630563,0.8926672849014075,0.8926130656608995,0.8925266230138572,0.8926043058668671,0.8925359579729053,0.8923722819266662,0.8921018372547938,0.8922646417546359,0.8921329825814902,0.8919964017795724,0.8919308964357009,0.8919683335014434,0.8917316351560952,0.8915652901403042,0.8914800499233007,0.891704282255999,0.8916378577187731,0.8914429941148877,0.8913613546115232,0.8917943591614202,0.8918093054457261,0.8917614736080114,0.891650053511846,0.8917363657396047,0.8916216781929875,0.8915656548603842,0.8917286481541095,0.8916473511455671,0.892373392354239,0.8922102016310317,0.8921863784990829,0.8919877499364357,0.8920253391074049,0.8919750165609918,0.8919028526395113,0.8919653114283986,0.8918064360573987,0.8917557793528862,0.8915688878246294,0.8917732169582588,0.8917493959067222,0.8916188681226989,0.8914472241631851,0.8912699691037149,0.8911445772528034,0.8911162748340966,0.8910340338232197,0.8911212230719875,0.8910970427953434,0.8911782059910991,0.8913543088810086,0.8913536737718066,0.891343714421465,0.8911935250602984,0.8910129196873354,0.8909120189275872,0.8908500363908711,0.8906991977659074,0.8906631410732642,0.8906268486468284,0.8906334785919591,0.8904208611205577,0.8904944279051001,0.8904576220067638,0.8903421356031987,0.890076734995156,0.8899442746053621,0.8897784317119612,0.8896632814354166,0.8895572352199539,0.8895825356654806,0.8895772993273158,0.8894468191710899,0.8893974245366617,0.8892947541133182,0.8894811857710002,0.8892691501503306,0.8892819198206343,0.8892827686841771,0.88954468266436,0.8894469558342525,0.8893108385731183,0.8895597210462207,0.8895983149039309,0.8894234552219512,0.8893032823827859,0.8892632752739009,0.8891291647973559,0.8892331839290626,0.8896021309661699,0.8893466285656665,0.8890602659772411,0.8890049048569049,0.8888302155371044,0.8888861501653094,0.8888522775200337,0.8888288574081601,0.8887251484840306,0.8887026923684364,0.8886840699881712,0.8885363440881741,0.8887815107049722,0.8885909688850707,0.8885669457650092,0.8886848308293163,0.8883929025197613,0.8882733634625767,0.8886121142062137,0.8886526253175029,0.8883883515108937,0.8882870963030423,0.8881195548533446,0.8878498698058405,0.8877480347681546,0.8876287408537643,0.8875494669576386,0.8874809934110491,0.8873353957394389,0.8872862809345738,0.8872026609679236,0.887025800257318,0.8870436103245652,0.8870022200026118,0.8867298426980632,0.886798651734879,0.8869895858216006,0.8869053354316772,0.8865313289494903,0.8865620048452104,0.8864049394011985,0.8864044643887798,0.8863897272241557,0.8862828353701541,0.8862791575615457,0.8862242691025674,0.8862459599989797,0.8860876167669917,0.8858971448656644,0.8858101803904029,0.8858853457357967,0.8859884009148055,0.8857788627374221,0.8858784391129891,0.8858316458069222,0.8856679743038135,0.8852744525711125,0.8852183807800209,0.8849662593744834,0.8849423628408958,0.8847347435265408,0.884493496942748,0.8843850226785341,0.8843558381419312,0.884552641007463,0.8844236837433402,0.8842579485021235,0.8842528940611584,0.8841867872009774,0.8836642318562837,0.8835444899918324,0.8833496480678693,0.8832142217654981,0.8835761762940163,0.8834814097765724,0.8834519852588734,0.8829984388476287,0.8830669146083359,0.8828070147601915,0.8825576813624623,0.8835079030663697,0.8832574545177773,0.8835544384305286,0.8836693776121088,0.8835048648342558,0.8834985699314661,0.8836475620744996,0.8835340711253195,0.8833568207728217,0.8837412176670201,0.8836909317624801,0.8842705167173253,0.8842339553244317,0.8840536672482131,0.8839583892340399,0.8840690812311964,0.8838771712415917,0.8837476115293889,0.8837188476845189,0.8836226575578353,0.883630233704598,0.8831465246879006,0.883025207963597,0.8832283625613853,0.8830700679984795,0.8828588293287691,0.8826734394477752,0.8829280723735904,0.8830257459891279,0.882871267228587,0.8830450138831072,0.8826533249480948,0.8825351960731431,0.8823764791891524,0.8822520014299797,0.8820597970589831,0.8820706115581757,0.8821804268818797,0.8819997554670579,0.8821824243909269,0.8820172286876051,0.8817608074100426,0.8816347996769658,0.8817817873016223,0.8816665268030264,0.8814567601781114,0.8812647471038019,0.8811665770302645,0.8810161915743268,0.8810108841442322,0.8807858718461545,0.8807033337140221,0.8805290867553266,0.8804118565023228,0.8805230170250593,0.880148383629935,0.8799218613831803,0.8797469789890046,0.8795488164840134,0.8793637852228551,0.8794611900778785,0.8795425684565696,0.8795110085161955,0.8794588654328639,0.8794672457808222,0.8796386125202886,0.879447108132319,0.8795343151522207,0.8791858542645506,0.8791034660060298,0.878963722810827,0.8794539380460384,0.8793613580674091,0.8791227970866825,0.8790926099158092,0.8792144685692614,0.8790522802903353,0.8789265644347081,0.8786454242241201,0.8785807712762135,0.8784043541176216,0.8782758429952213,0.8784626414930367,0.8785276103347354,0.8783542299960181,0.8782877910233988,0.8781353352650219,0.8781668020314503,0.8779907002268595,0.877664617999774,0.8773088404586005,0.877225011410315,0.8770158151122184,0.8770335165107184,0.8768872366790582,0.8769962378475025,0.8767812717683352,0.8765940886502884,0.8765721307053734,0.8765943813700167,0.8764477216163854,0.8761678662496388,0.8761016436422305,0.8761557392566416,0.8757608714941602,0.8752455770646947,0.8752312351850009,0.875300109688653,0.87533441987761,0.875967794279003,0.8755132507302584,0.8754144991813642,0.8753173850332003,0.8753236277532753,0.8751215341585926,0.8750274498321639,0.8748425845200039,0.8750380373763129,0.8750285547739644,0.8750729867492886,0.8749137290644806,0.8748153657867528,0.8749573456706847,0.8748261363726683,0.8747085118518617,0.8746843476252054,0.8746230554447547,0.8744967426493119,0.8743916520663163,0.8741390005989561,0.874149997185643,0.8740364518353362,0.8738330070772474,0.8738999692826696,0.873522605620857,0.8735941518884527,0.8737265575441469,0.8737340148592928,0.8736069783556841,0.8734560175864358,0.8736600890458363,0.8735183152883109,0.873721975056125,0.8736214507065022,0.8736718443350782,0.8735510745366052,0.8745121419384043,0.8744761783742123,0.8743744297287582,0.8747604507270372,0.8747618915391664,0.8747852723219498,0.8748715950057765,0.8746580404077022,0.8744546302658556,0.8754458977407847,0.8752996590982545,0.8752082114077342,0.8751189731979433,0.8749788314987299,0.8749589481671064,0.8749110617876085,0.8745446887947912,0.8744580482329951,0.874380637059025,0.8742581422021629,0.8741617899383284,0.8740669982731221,0.8740865945715978,0.8740671614923112,0.8751191445852036,0.874925085337572,0.8751396283347599,0.8757827166827972,0.8753635498279271,0.8750363437190711,0.8748702079907755,0.8750280008017072,0.8746834394452202,0.8745506542000682,0.8744479345559599,0.8742086397222734,0.8736318705111168,0.8735384357749056,0.8733948635634029,0.8731540923749527,0.8730452000012037,0.8731997192167115,0.8737768694528926,0.8737061110436156,0.8738298849735479,0.8737064015037274,0.8747728065505149,0.8746999549357605,0.8746868169535398,0.8755729826540772,0.875479163708866,0.8755241641205794,0.8749750989815483,0.8748511802728933,0.874869652626206,0.875173509700841,0.8750931401676995,0.8749806976575623,0.8747087370966977,0.8746377225192317,0.8745317876506216,0.8743650869330282,0.874463105946032,0.8742954064325248,0.8745957565230743,0.8744171119562252,0.8741495832757007,0.8745607836684123,0.87435592420432,0.874241349029672,0.8740179464204553,0.8740128809084909,0.8738627893275525,0.8740672371957106,0.8739223363160405,0.8736985476118758,0.8735291899848862,0.8732748876212507,0.8731143172059815,0.8730811430604841,0.8728364360516382,0.8726201704310416,0.8724733042438217,0.8722319298921674,0.872058016333727,0.8719793967622531,0.8719604799813081,0.871663016753772,0.8715016146393972,0.871259967242065,0.8712335796733996,0.8711671177266577,0.8710942000013553,0.8712509492884168,0.8714323219442673,0.8716436967216192,0.8714698923701809,0.8713548426867399,0.8711684016221891,0.8708882541212101,0.8708103806442945,0.8709081300279441,0.8707225913621263,0.8707114594377343,0.8704974300776356,0.8704319052352781,0.8702279698828779,0.8704118908422913,0.8703395169758488,0.87014908108146,0.8705594823645251,0.8704877172971717,0.870538845748487,0.870313836064647,0.8702191252674956,0.8695407738455297,0.8694246399543705,0.8692122433519857,0.8691237630861895,0.869405413958908,0.8692571107582289,0.8690480488069022,0.8688747567266439,0.8685416893337685,0.8683004814242892,0.8680943976418785,0.8679745087393923,0.8678214173664972,0.8680257471466263,0.8677858083158239,0.8676064509495762,0.8682692484676692,0.8682092518240775,0.8684426502229222,0.8681973797314522,0.8681408347272653,0.8679929883460964,0.8677415033822753,0.8676040599683397,0.8676997314629109,0.8680806550788104,0.868252140803949,0.8679840703621916,0.8678483844273228,0.8677118242923412,0.8674961285033249,0.8675617235862572,0.8673489200826928,0.8671973731935934,0.8672059357849042,0.8671140990987541,0.8668910284699011,0.8668144584979022,0.8666602557938263,0.8670085101300983,0.8673126420547729,0.867117787318898,0.8671627986176417,0.8669058469892369,0.866949251409683,0.866831284054573,0.8668143560301723,0.8666671886806488,0.8669286146068034,0.8672384367946268,0.8671158710085362,0.8670017122201789,0.8668650439405662,0.8671676006113093,0.8672287878364849,0.8681833643475999,0.8679486614034314,0.8675335442171943,0.8674677917880645,0.8671382980014318,0.8669588983325764,0.8668047601640876,0.8666520282359065,0.8664724932276922,0.8663260684161773,0.8661879202307133,0.8662437609107226,0.8664387928445975,0.8663114156642631,0.8660943391556175,0.8661012391137958,0.865940239919999,0.8660440021780788,0.8656588014199207,0.8655115028558527,0.8652362099047107,0.8651356712955179,0.8648361560964095,0.865152212755712,0.865194398612345,0.8649860324522598,0.8662207215272981,0.8660439997094601,0.8661963979416809,0.8660333112861524,0.8658286874526808,0.8657722459498947,0.8655665671023326,0.8656375368396453,0.8656148576331264,0.8654500329758061,0.8650072848779892,0.8647371504008533,0.8653520953991466,0.865109739218314,0.8652473530887232,0.8668731607737785,0.8666448303182943,0.866452399423695,0.8662353635955934,0.8660171715823658,0.8661520386328406,0.8658967817018038,0.8656952703854192,0.8654454449057349,0.8653594947884291,0.8651876440423412,0.8649641467745652,0.864722710072242,0.8650531469549707,0.8652280892362332,0.8651316692753385,0.8662213661501119,0.8659873269922144,0.8658645976862683,0.8658128170090558,0.865557888087984,0.8656538631552009,0.8653945790021518,0.8651343649542135,0.865004661797158,0.8648428946663597,0.8648896669537349,0.8647337752718866,0.8646097385645644,0.8644437179906287,0.864195244269045,0.8639995434311152,0.8636671791003447,0.8635153288300562,0.8633589722726119,0.8631001476991541,0.8629195017875677,0.862752644923527,0.8625774377848218,0.8624369768171182,0.8623391807214946,0.8621845893310753,0.8623145141326033,0.862149248798223,0.8619944412264349,0.8618979341019488,0.8617319597719432,0.862071332607651,0.8620052848203849,0.861899539156908,0.8616477706661149,0.8617811539050044,0.8615604421681268,0.8615957072571335,0.8613438279518599,0.8610260604186821,0.8607678431333357,0.8607490877010066,0.8605356011942459,0.8608088150048642,0.8605066054804766,0.8603151935016661,0.8601965589499266,0.8597688861738954,0.8594371156643107,0.8591457083378089,0.8590755643893019,0.8589529757719764,0.8588160826673391,0.8586020036195082,0.8583702080145569,0.8583070247741093,0.8580379473686948,0.8578209670696123,0.8580382112333708,0.8578421363990932,0.8580892187459023,0.8578193323242516,0.8575315542828764,0.8575111294617099,0.8571846027149802,0.8572387916515659,0.8574802434371878,0.8571382629762236,0.8573524275235767,0.8570512924092836,0.8569190713351987,0.8566269176332786,0.8562941624089575,0.8559575047670934,0.8555788047486629,0.855324295776575,0.8556559545898705,0.8554067528632735,0.8551756517896597,0.8562208815985553,0.8561988060530334,0.8558958285781091,0.8560778952654633,0.8574373452536999,0.85709472738503,0.8568101003735878,0.8566971490048413,0.8561128990072439,0.8558898741891207,0.8554981364187227,0.8552849346291068,0.854892634336332,0.8546471481839525,0.8546006218381721,0.8543822249952339,0.8541759494476625,0.8538318930196607,0.8538334284749001,0.8534998744518216,0.8541638599101448,0.8540989590692855,0.8545925304139129,0.8551693457500444,0.8547756835362481,0.854459757771016,0.8541804900501527,0.8540204603887114,0.8540302259428317,0.853801063900285,0.853490313759181,0.8531372251705838,0.852993915522408,0.8526310648196199,0.8522061885978881,0.8522496424998619,0.8533289813212462,0.8530600408457917,0.8526345100708518,0.8530157940554658,0.8528242143186606,0.852753833363546,0.852880310042518,0.8540328067125255,0.853785851343163,0.8536041881635005,0.8534544600402486,0.8551949874942576,0.8558354453063001,0.8557295907572562,0.8552758518670972,0.8549399827232759,0.8545753006792346,0.8544514557445871,0.8548768492160171,0.854733722015839,0.8555024989028408,0.8552169316338659,0.8552096360165866,0.8549737007509345,0.8558293221285536,0.8553266580217371,0.8550605818274678,0.8549721800708143,0.8544454678441784,0.8540699925944547,0.8537550214475387,0.8531776416539051,0.8528671462961311,0.852401115356811,0.8521097119199585,0.8518610713520166,0.8524996528259964,0.8519194975217673,0.854444335210595,0.8556552556707873,0.8552994672512007,0.855168982550908,0.8553804611823871,0.8551637730445677,0.8548676375636702,0.8553515256652966,0.8551226301480503,0.8548525767460678,0.8550838289004582,0.8550783783586821,0.8554223923977422,0.8552056121400687,0.8548257717923244,0.8548179871520343,0.8545021311863604,0.8548079421042865,0.8551195086823823,0.8560561205752959,0.8558060591495561,0.8563497623405875,0.8562294772598603,0.8559897530733201,0.8556330794573496,0.8553824070609973,0.855134282410421,0.8545784996133023,0.854335044909483,0.8560481920189772,0.8556596170848688,0.8555716807217102,0.8552116264804417,0.8555175977719746,0.8552243409761383,0.8548807853025365,0.8548720723014257,0.8544093776736524,0.8540978877528126,0.857250224258734,0.8566710485742571,0.8564268220245893,0.8562342836615394,0.8562820817198668,0.8557532602081929,0.8554049041829797,0.8550222743840451,0.8549896006827918,0.8546965227867559,0.8544990534014996,0.8545578037347913,0.8559985159701845,0.857038837006494,0.8567704131459386,0.856788693037085,0.8563407567419294,0.8560072872893518,0.8555676253534726,0.8554587346684221,0.8550630217427184,0.8548744139024943,0.8543552481834894,0.8541630087438986,0.8536656322730799,0.8530945404003293,0.8529738077697995,0.8528539229748149,0.8525030808522799,0.8526655317623869,0.8524795135422008,0.8520378213869648,0.8518269527772226,0.8515580891325332,0.8509608788313957,0.8521727896053081,0.8528413516821841,0.8540698161898285,0.8534170558014618,0.8528190189813944,0.8524251903218512,0.8521055565528775,0.8517560073937154,0.8514575484263804,0.8512001530075547,0.8505680612618869,0.8501137188482942,0.8497257947100219,0.8493765391840986,0.8509947059917213,0.8504652693845867,0.8503307471632638,0.8499995055037434,0.8497287306981458,0.8495576986366945,0.8493035542747358,0.8508924531147871,0.8504045846197308,0.850409274868393,0.8497288923315259,0.8494634655318801,0.8493022490513261,0.8491715273834718,0.8500593144498325,0.849545786780829,0.8484571019617748,0.8480548570462566,0.8475668571065156,0.8477939062183836,0.8477571121817813,0.8471906497962685,0.8479875793809097,0.8491953023053501,0.8523997803404723,0.8520261611206859,0.8517691991695255,0.851907971700741,0.8510722036680948,0.8506501561953739,0.8501228501228502,0.8511693511693512,0.8512754839521136,0.8505510670819303,0.8496914725804955,0.8492886143393944,0.848500795210029,0.848955581387157,0.8485601554678759,0.8479117135658777,0.849169862556871,0.8507552145768401,0.8513790443126477,0.8516799185494036,0.8512341398732406,0.850672925299791,0.8501745586861386,0.8509435129617027,0.8511339334560103,0.8506561548824909,0.8519046058436484,0.8513931496082955,0.8507972519979097,0.8504678879117221,0.8498288684731979,0.8500316525199282,0.8493543572772695,0.8487873535506236,0.8483429064883748,0.8477529124043442,0.849098771472778,0.8485600530856006,0.848082379740765,0.8490479960282851,0.8536694632239147,0.8529596805076864,0.8528910161192716,0.8523059928196631,0.8521467711729208,0.8539806313671237,0.8533999803428765,0.8554442521070404,0.8559204605516907,0.8553079608637558,0.8551861933167313,0.857207496496964,0.8564127417720404,0.8562649924482483,0.8553611848121,0.8545577923546709,0.8549961293847999,0.8543860986205319,0.8537819765658549,0.8530744336569579,0.8525572536814233,0.8529517050318283,0.8557734684883208,0.8551380428763548,0.8550003180863923,0.8541743435282054,0.8551400361383583,0.8549848452923157,0.8556992658240267,0.8559227199420729,0.8572921158247372,0.8567436412315931,0.8560811151653748,0.8565503698813333,0.8564877948997681,0.8583914282770699,0.8611962791664501,0.8608079647712042,0.8610099453705,0.8606022209316649,0.8602045872858559,0.8594261711519294,0.8587475629169872,0.85856878225995,0.8597942633211778,0.8592865749023331,0.8620887139980418,0.8647261871443231,0.8642397161256407,0.8640795042321644,0.8634731903739862,0.863792738944091,0.8635493415327493,0.8626690571773785,0.8622089716179903,0.8618798698096459,0.8645382575228827,0.8642465835891879,0.8657957004469432,0.8666734610680799,0.8666037890592964,0.8670756646216768,0.8677556965976485,0.8688844989912575,0.8686302702245527,0.8740357135182758,0.8751227603064097,0.8742000043986012,0.874098012306875,0.8818386154191953,0.8833329555500148,0.8837666194544707,0.8828243747409148,0.8825387975095251,0.8819322723129777,0.8813224539704188,0.8813330491011157,0.881249252123968,0.8805110584135895,0.8816731412934594,0.8816348719976278,0.8808410052251804,0.8832431071383609,0.8850920589585353,0.8841863939620309,0.8840154680646752,0.8843218004878944,0.8849928385762028,0.886305672635507,0.8872296601441813,0.8861870897155361,0.8855702201526465,0.8847863532811024,0.8825046040515654,0.8823428424275372,0.8837412079288496,0.8826557627816674,0.8813812022900763,0.8806239293120548,0.8796703130208176,0.8782350055194407,0.8767434620174346,0.8768606224627875,0.8772382590964124,0.8771692585080009,0.8761122296551276,0.8756408571052977,0.8762581802478159,0.8753730092204527,0.873923071704769,0.8731468483582703,0.872629101481379,0.8728380365520622,0.8716307039264237,0.8702975253897869,0.8690381414199899,0.8721622217324223,0.8709533874735789,0.8721078725961539,0.8716169855912175,0.8725221221840102,0.8751766923197738,0.873752038502844,0.8741123305358296,0.8830761613994554,0.8818845111528039,0.8812436719541006,0.879801522799213,0.8835994952351943,0.8844122997737055,0.8830159870666427,0.8816578803853845,0.8810554429913428,0.8791089761702929,0.87737610725401,0.8760523626453842,0.8743522676800078,0.8726854168751876,0.8707382754941314,0.8693985390871886,0.8672052378689477,0.866207416177816,0.8647023451593505,0.8626993387786853,0.8624185783064288,0.8648037567395211,0.8635425876805187,0.8763100170606873,0.8739895983457611,0.8732547713590367,0.871903520208605,0.8731801789768933,0.8736207251045165,0.876939276939277,0.8765209878320973,0.8739786529260214,0.8723436436512138,0.8809058961343226,0.8929823131469558,0.8886715427793842,0.8847711267605634,0.8999170583356373,0.897460107638561,0.8944062806673209,0.8928061952313022,0.8892048446550816,0.8859991330732553,0.8781370374693591,0.871520078837152,0.8671506814418546,0.8627450980392157,0.8639398998330551,0.8596364685516446,0.8655264396673467,0.8811083123425693,0.8784871746863883,0.8708971553610503,0.9072323587601671,0.905718336483932,0.8925686591276252,0.8832309043020193,0.8721153846153846,0.8606843575418994,0.8445656408258668,0.8303687635574837,0.8188585607940446,0.8101010101010101,0.7787878787878788,0.9040511727078892,1.0]},{\\\"line\\\":{\\\"color\\\":\\\"rgba(0, 200, 0, 1)\\\",\\\"width\\\":1},\\\"name\\\":\\\"Blast/CNN-ensemble\\\",\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.9081251032920434,0.9080247336576871,0.9079235578415289,0.9078231882071726,0.9077224154819153,0.907619627302153,0.9075188545768956,0.9074180818516384,0.9073177122172821,0.9072169394920249,0.9071157636758665,0.9070153940415103,0.906914218225352,0.9068134455000947,0.9067126727748375,0.9066123031404812,0.9065087087789168,0.9064083391445605,0.9063079695102042,0.906207599875848,0.9061056178778877,0.9060052482435313,0.9059048786091751,0.9058045089748189,0.9057037362495617,0.9056033666152054,0.9055025938899481,0.9054022242555919,0.9053018546212356,0.9052014849868794,0.9051011153525231,0.9050007457181669,0.9049003760838107,0.9047979909949493,0.9046976213605931,0.9045972517262367,0.9044968820918805,0.9043965124575243,0.904295336641366,0.9041949670070097,0.9040945973726535,0.9039938246473962,0.90389345501304,0.9037930853786837,0.9036927157443275,0.9035923461099713,0.903491976475615,0.9033895913867537,0.9032892217523973,0.9031884490271401,0.9030880793927839,0.9029816633949121,0.9028800844878528,0.9027797148534966,0.9026793452191404,0.902576960130279,0.9024765904959228,0.9023762208615665,0.9022758512272102,0.902175481592854,0.9020734995948937,0.9019723237787354,0.9018707448716761,0.9017687628737157,0.9016683932393594,0.9015672174232011,0.9014668477888449,0.9013648657908845,0.9012640930656273,0.9011637234312709,0.9010633537969147,0.9009629841625585,0.9008626145282023,0.900762244893846,0.9006606659867867,0.9005602963524304,0.9004595236271732,0.900359153992817,0.9002587843584606,0.9001576085423024,0.9000572389079461,0.8999564661826889,0.8998560965483327,0.8997557269139763,0.8996553572796201,0.8995549876452639,0.8994546180109076,0.8993542483765514,0.8992538787421952,0.8991535091078389,0.8990531394734826,0.8989527698391264,0.8988524002047702,0.898752030570414,0.8986516609360576,0.8985512913017014,0.8984509216673452,0.898350552032989,0.8982501823986327,0.8981486034915734,0.8980482338572171,0.8979470580410588,0.8978450760430985,0.8977447064087423,0.897644336774386,0.8975439671400297,0.8974435975056735,0.8973432278713173,0.897242858236961,0.8971424886026048,0.8970421189682485,0.8969417493338923,0.896841379699536,0.8967410100651798,0.8966402373399225,0.8965390615237642,0.8964314362531894,0.8963310666188332,0.8962302938935759,0.8961295211683187,0.8960287484430614,0.8959279757178041,0.8958272029925468,0.8957268333581906,0.8956244482693292,0.895524078634973,0.8954237090006167,0.8953233393662605,0.8952229697319043,0.895122197006647,0.8950218273722907,0.8949214577379345,0.8948206850126772,0.894720315378321,0.8946187364712617,0.8945183668369054,0.8944179972025491,0.8943176275681929,0.8942164517520346,0.8941160821176783,0.8940153093924211,0.8939141335762628,0.8938137639419066,0.8937133943075503,0.893613024673194,0.8935126550388378,0.8934122854044816,0.8933119157701254,0.893211546135769,0.8931111765014128,0.8930104037761556,0.8929096310508983,0.892809261416542,0.8927088917821858,0.8926073128751265,0.8925057339680671,0.8924053643337109,0.8923049946993546,0.8922046250649984,0.8921042554306422,0.8920038857962859,0.8919023068892266,0.8918003248912663,0.8916995521660089,0.8915991825316527,0.8914988128972965,0.8913968308993361,0.8912956550831778,0.8911944792670196,0.891021150179577,0.8909207805452207,0.8908204109108645,0.8907200412765083,0.890619268551251,0.8905188989168947,0.8904185292825385,0.8903181596481823,0.890216983832024,0.8901166141976677,0.8900138260179054,0.8899110378381428,0.8898090558401826,0.88970626766042,0.8896058980260638,0.8895035129372024,0.8894023371210442,0.8893019674866879,0.8891999854887276,0.8890992127634703,0.8889980369473119,0.8888976673129557,0.8887968945876985,0.8886965249533423,0.888595752228085,0.8884941733210256,0.8883938036866694,0.888291821688709,0.8881882273271445,0.8880878576927883,0.88798668187663,0.8878842967877686,0.8877839271534124,0.8876835575190561,0.8875831878846999,0.8874828182503436,0.8873816424341854,0.887280869708928,0.8871805000745718,0.8870801304402156,0.8869797608058593,0.886879391171503,0.8867790215371468,0.8866786519027906,0.8865782822684344,0.8864771064522761,0.8863759306361177,0.8862751579108604,0.8861747882765042,0.8860647444605233,0.8859643748261671,0.8858640051918109,0.8857624262847514,0.8856620566503952,0.885561687016039,0.8854613173816828,0.8853609477473265,0.8852605781129702,0.885160208478614,0.8850590326624557,0.8849586630280994,0.8848582933937432,0.884757923759387,0.8846527170342184,0.884550735036258,0.8844475437655945,0.8843467710403373,0.8842379364970595,0.8841371637718022,0.884036794137446,0.8839360214121886,0.8838356517778324,0.8837352821434762,0.8836337032364169,0.8835333336020607,0.8834329639677043,0.883331788151546,0.8832306123353878,0.8831108943377821,0.8830105247034259,0.8829101550690697,0.8828097854347133,0.8827094158003571,0.8826074338023968,0.8825070641680406,0.8824046790791792,0.8823006816267136,0.8822003119923574,0.8820999423580012,0.8819995727236449,0.8818992030892887,0.8817988334549324,0.8816980607296752,0.8815976910953189,0.8814957090973585,0.8813953394630023,0.881294163646844,0.8811929878306857,0.8810926181963294,0.8809914423801711,0.8808906696549139,0.8807903000205576,0.8806899303862014,0.8805895607518451,0.8804863694811818,0.880365039119972,0.8802646694856157,0.8801626874876554,0.8800623178532991,0.8799619482189428,0.8798567414937742,0.879755968768517,0.8796555991341607,0.8795552294998045,0.8794548598654482,0.879354490231092,0.8792541205967358,0.8791517355078744,0.879049350419013,0.8789489807846568,0.8788478049684985,0.8787470322432411,0.8786466626088849,0.8785462929745287,0.8784459233401725,0.8783451506149151,0.8782411531624497,0.8781407835280934,0.8780404138937372,0.8779376257139747,0.8778368529887175,0.8777364833543613,0.8776349044473019,0.8775345348129456,0.8774329559058863,0.8773321831806291,0.8772318135462728,0.8771298315483125,0.8770286557321542,0.8769282860977979,0.8768279164634417,0.8767255313745803,0.8766251617402241,0.8765219704695606,0.8764082988354703,0.8763030921103018,0.8762027224759456,0.8760946941144697,0.8759939213892125,0.8758931486639552,0.8757915697568959,0.8756899908498366,0.8755888150336782,0.8754876392175199,0.8753872695831637,0.8752868999488075,0.8751865303144513,0.8750861606800949,0.8749640241370832,0.874863654502727,0.8747632848683706,0.8746629152340144,0.8745625455996582,0.8744617728744009,0.8743614032400446,0.8742582119693812,0.8741550206987178,0.8740546510643615,0.8739542814300053,0.8738539117956491,0.8737531390703918,0.8736523663451345,0.8735511905289762,0.8734504178037189,0.8733492419875606,0.8731614016276811,0.8730610319933249,0.8729606623589685,0.8728324794524414,0.8727288850908769,0.8726059423660629,0.8725031541863005,0.8723955289157258,0.8722951592813696,0.8721822938290814,0.87207990874022,0.8719787329240617,0.8718747354715962,0.8717505834740792,0.871650213839723,0.8715498442053667,0.8712898505742029,0.8711894809398467,0.871081855669272,0.8709810829440147,0.8708633804009142,0.870762204584756,0.8706618349503996,0.8705610622251424,0.87045827404538,0.8703562920474196,0.8702559224130634,0.870155149687806,0.8699233724197144,0.8698230027853582,0.8697165867874864,0.8696162171531302,0.869515847518774,0.8694041913391889,0.8693038217048327,0.8689398306212034,0.8688394609868472,0.8687378820797879,0.8686314660819161,0.8685310964475599,0.8684307268132037,0.8682956913613589,0.8681953217270026,0.8680949520926464,0.8679945824582902,0.8678926004603298,0.8677922308259736,0.8676906519189143,0.8675600504669808,0.8674596808326246,0.8673576988346642,0.867257329200308,0.8671549441114466,0.8670545744770903,0.8668115106637698,0.8667099317567104,0.866523703760435,0.8664221248533757,0.8663128872191967,0.8662125175848405,0.8661109386777812,0.8658654563190545,0.8657646835937972,0.8656635077776389,0.8655611226887775,0.8654607530544213,0.8653418412386177,0.8652414716042615,0.8649540677918277,0.8648536981574715,0.8647363987052721,0.8646360290709157,0.8645356594365595,0.8644344836204012,0.8642760688962968,0.8641748930801385,0.8640209123559454,0.8639205427215891,0.8638197699963319,0.863558970183366,0.8634581974581088,0.8633279990970764,0.8632223892810068,0.8630861445564589,0.8629857749221027,0.8628850021968454,0.8627572223812192,0.862656852746863,0.8625556769307047,0.8624512763873381,0.8623351862078418,0.8622344134825844,0.8621106645759685,0.8620102949416123,0.8618933985803139,0.8617926258550566,0.8616922562207003,0.8614653160434209,0.8613649464090647,0.8611988729578407,0.8610952785962762,0.86099490896192,0.8607760306026612,0.8606748547865029,0.8605744851521466,0.8604741155177904,0.8603737458834342,0.8602729731581769,0.8601726035238206,0.8600722338894644,0.8599710580733061,0.8598702853480489,0.8596759955337528,0.8595752228084955,0.8594744500832383,0.859373677357981,0.8592612149965939,0.8591580237259304,0.8589919502747064,0.8588915806403502,0.8587900017332909,0.8586896320989347,0.8585892624645783,0.8584840557394098,0.8583820737414495,0.8582804948343901,0.8581781097455287,0.8580777401111724,0.8579761612041131,0.8578532184792993,0.8577508333904379,0.8576504637560817,0.8575496910308243,0.8574493213964681,0.8573489517621119,0.8572485821277557,0.8571445846752901,0.8570389748592205,0.8569386052248643,0.856838235590508,0.8567370597743497,0.8566362870490924,0.8565359174147362,0.85643554778038,0.8563351781460237,0.856227149784548,0.8561267801501917,0.8560264105158354,0.855924025426974,0.8558236557926178,0.8556660472503154,0.8555656776159591,0.8554653079816029,0.8553621167109395,0.8552548945312658,0.8551545248969095,0.8549840174457742,0.8548824385387148,0.8547260392691156,0.8546256696347594,0.8544894249102115,0.8543874429122511,0.8542870732778949,0.8541867036435387,0.8540359476465538,0.8539355780121975,0.8537832096516086,0.8536816307445492,0.8534949996573727,0.8533946300230165,0.8532233163900791,0.8531197220285146,0.8530189493032574,0.8529177734870991,0.8526081996751087,0.8525074269498515,0.8524070573154953,0.8523034629539308,0.8520152529596949,0.8519148833253387,0.8518145136909825,0.8517141440566262,0.8516137744222699,0.8511723898856431,0.8510720202512869,0.8509716506169306,0.8508712809825744,0.8507709113482181,0.8503065506302326,0.8502061809958764,0.8501058113615202,0.8500054417271639,0.8498292910034142,0.8497248904600476,0.8496241177347904,0.8495237481004342,0.8494225722842759,0.849204097015918,0.8491037273815618,0.8490029546563046,0.8489025850219483,0.848801812296691,0.848496672484612,0.8483963028502558,0.8482959332158995,0.8481955635815432,0.8480943877653849,0.8476824288645333,0.847581253048375,0.8474808834140187,0.8473801106887614,0.8472785317817021,0.8470310339684702,0.8469302612432129,0.8468298916088567,0.8467291188835995,0.8464546139799987,0.8463542443456424,0.8462534716203851,0.8461531019860289,0.8460519261698706,0.8457786305389728,0.8456782609046166,0.8455778912702604,0.8454775216359041,0.8450510514626154,0.8449498756464571,0.8448495060121007,0.8447491363777445,0.8446479605615862,0.8442460789332602,0.844145306208003,0.8440449365736468,0.8439445669392904,0.8438441973049342,0.8435765449466509,0.8434757722213937,0.8433741933143343,0.8432734205890771,0.8428134938710028,0.8427123180548446,0.8426103360568842,0.842509563331627,0.842066969522297,0.8419665998879408,0.8418658271626834,0.841761829710218,0.8414873248066171,0.8413869551722609,0.8412849731743005,0.8411846035399443,0.8410842339055881,0.8406037495515614,0.8404993490081948,0.8403985762829376,0.8402961911940762,0.84019582155972,0.8393166803045755,0.8392151013975162,0.8391147317631599,0.8390139590379027,0.8389131863126453,0.838589101228218,0.8384883285029607,0.8383879588686045,0.8382875892342482,0.838187219599892,0.8380820128747234,0.8358565480101418,0.8357553721939834,0.8356545994687262,0.8355497958344587,0.8354494262001024,0.8349334698467852,0.8348314878488248,0.8347307151235676,0.8346303454892112,0.834529572763954,0.8342175804065575,0.8341172107722012,0.834016841137845,0.8339164715034888,0.8338132802328253,0.8335569144197708,0.8334565447854145,0.8333561751510583,0.8332558055167021,0.8331514049733355,0.8320739429948848,0.8319731702696275,0.8318671573626568,0.8317607413647852,0.8316591624577259,0.8315523433689531,0.8309634275625496,0.8308630579281934,0.8307626882938371,0.8306619155685798,0.8305587242979164,0.8300371246719848,0.8299359488558264,0.8298351761305692,0.8297303724963017,0.8291063877815086,0.8290060181471524,0.8289052454218951,0.8288048757875388,0.8284566052490497,0.8283562356146935,0.8282558659803372,0.828155496345981,0.8280539174389216,0.8276609038104182,0.827560534176062,0.8274593583599037,0.8273561670892403,0.827255394363983,0.8268236840089809,0.8267233143746247,0.8266229447402684,0.8265221720150111,0.8261710798402148,0.8260707102058585,0.8259703405715023,0.825869970937146,0.8257651673028785,0.8250492778626508,0.8249485051373935,0.8248477324121363,0.82474736277778,0.8246465900525227,0.8243539460583756,0.8242535764240194,0.8241532067896631,0.8240520309735049,0.8239504520664455,0.823430061713217,0.8233296920788608,0.8232256946263952,0.8231253249920389,0.8230213275395735,0.8224948908228294,0.8223933119157701,0.8222925391905128,0.8221921695561566,0.8220797071947695,0.8219233079251702,0.821822938290814,0.8217225686564578,0.8216177650221902,0.8215169922969329,0.8210147410342507,0.8209143713998944,0.820811986311033,0.8207104074039737,0.8206092315878154,0.8204254221369461,0.8203250525025899,0.8202234735955305,0.8201227008702733,0.8200174941451046,0.819675269970131,0.8195749003357747,0.8194741276105174,0.8193725487034581,0.8192721790691019,0.8185901492645606,0.8184889734484023,0.8183882007231451,0.8182878310887889,0.8181862521817295,0.8179419790957059,0.8178408032795476,0.8177400305542903,0.8176380485563299,0.8175376789219737,0.8170551791134418,0.8169548094790856,0.8168536336629273,0.816752054755868,0.8166238718493407,0.8164295820350447,0.8163292124006885,0.8162288427663322,0.816128070041075,0.8160264911340156,0.8155173873260159,0.8154145991462535,0.8153142295118972,0.8152134567866399,0.8151098624250754,0.8146519511615065,0.8145503722544472,0.8144491964382888,0.8143435866222192,0.814242813896962,0.8138578620864791,0.8137574924521229,0.8136534949996573,0.8135531253653011,0.8134519495491428,0.8128900408331082,0.812789268107851,0.8126888984734948,0.8125849010210292,0.812484531386673,0.8119931635783185,0.8118927939439623,0.8117924243096061,0.8116920546752499,0.8115908788590915,0.8113264512280164,0.8112256785027592,0.8111249057775018,0.8110245361431456,0.8109136861453626,0.8103602423382497,0.8102598727038934,0.8101546659787249,0.8100530870716656,0.8099523143464082,0.8098454952576355,0.8093908087212748,0.8092884236324134,0.8091880539980572,0.8090876843637008,0.8085269849203693,0.8084229874679039,0.8083210054699436,0.8082206358355872,0.8081069642014971,0.8077413607542637,0.8076405880290064,0.8075402183946502,0.807439848760294,0.8073390760350366,0.806914218225352,0.8068138485909958,0.8067130758657385,0.8066127062313823,0.806512336597026,0.8059613113353192,0.8058597324282599,0.8057569442484975,0.8056565746141412,0.8055485462526655,0.8052301044408524,0.8051297348064962,0.80502936517214,0.8049285924468828,0.8048274166307244,0.804725031541863,0.8042078659158427,0.8041066900996844,0.8040030957381199,0.8039023230128627,0.8038015502876054,0.8032307735717482,0.8031304039373919,0.8030300343030357,0.8029296646686794,0.8028292950343232,0.8023584848619212,0.802257712136664,0.802148474502485,0.8020481048681288,0.8019473321428715,0.8013701059725978,0.8012697363382416,0.8011693667038854,0.8010685939786282,0.8009641934352616,0.8006151167149704,0.8005123285352079,0.8004115558099507,0.8003111861755945,0.8002104134503372,0.799652938734214,0.7995517629180556,0.7994485716473922,0.7993477989221349,0.7992450107423725,0.7986794742082287,0.7985791045738725,0.7984775256668131,0.7983767529415559,0.7982759802162985,0.7977027849550352,0.797602415320679,0.7975020456863228,0.7974008698701645,0.7970243829686032,0.7969228040615439,0.7968208220635835,0.7967188400656232,0.796618470431267,0.7958981469911279,0.7957973742658707,0.7956970046315145,0.7955966349971582,0.7954958622719009,0.7948686528298997,0.7947662677410383,0.7946622702885727,0.7945614975633155,0.7944611279289593,0.7941995219341914,0.7940987492089341,0.7939979764836769,0.7938976068493205,0.7937968341240633,0.7929628390498341,0.7928616632336758,0.7927608905084186,0.7926605208740624,0.792559345057904,0.7924355961512881,0.791576206350294,0.7914754336250368,0.7913742578088785,0.7912738881745223,0.791173518540166,0.7910727458149087,0.7902980051031308,0.7901976354687745,0.7900972658344183,0.7899896405638436,0.7898771782024564,0.7889678051297349,0.7888670324044775,0.7887666627701213,0.7886638745903589,0.7881205080557716,0.7880201384214154,0.7879197687870592,0.787818996061802,0.7877186264274456,0.787611807338673,0.7868979333529504,0.7867975637185942,0.7866971940842379,0.7865823131774446,0.7864819435430884,0.7860977979144077,0.7859974282800515,0.7858970586456951,0.7857966890113389,0.7856959162860817,0.7855951435608244,0.7849997783000044,0.7848994086656482,0.7847978297585888,0.7846962508515295,0.7845874163082517,0.7844858374011924,0.7835587283288254,0.7834583586944692,0.7833579890601129,0.7832576194257567,0.7831548312459943,0.7828633965245503,0.782762623799293,0.7826622541649367,0.7825614814396794,0.7824538561691047,0.7823381690805093,0.781516266733311,0.7814134785535486,0.7813131089191924,0.7812127392848361,0.7809229169269962,0.7808217411108379,0.7807141158402632,0.7806093122059956,0.7805089425716394,0.7804057513009759,0.779826509676197,0.7797261400418408,0.7796257704074846,0.7795249976822273,0.779424628047871,0.7793190182318015,0.7786257018820314,0.7785253322476752,0.7784245595224178,0.7783229806153585,0.7782149522538828,0.7777767924444642,0.777676422810108,0.7775760531757516,0.7774756835413954,0.7773749108161382,0.7772745411817819,0.7764316781077301,0.7763313084733738,0.7762297295663145,0.7761289568410572,0.7760261686612948,0.775904032118283,0.7756508910324367,0.7755489090344764,0.7754473301274171,0.7753461543112588,0.7752453815860014,0.7741687257893528,0.7740679530640955,0.7739675834297393,0.7738647952499769,0.7737591854339072,0.7736515601633325,0.7729848478130303,0.7728844781786741,0.7727841085443178,0.7726813203645554,0.7722008360105287,0.7721000632852715,0.7719976781964101,0.7718973085620539,0.7717965358367965,0.7710056714889775,0.7709040925819182,0.7708037229475619,0.7707033533132056,0.7705900847700164,0.7703010685939786,0.7702006989596224,0.7701003293252662,0.7699987504182068,0.7695424515182419,0.7694420818838856,0.7693417122495294,0.7692409395242721,0.7691405698899159,0.7684891749938528,0.7683879991776945,0.7682872264524373,0.768185647545378,0.7680844717292197,0.7675193382859768,0.7674185655607196,0.7673177928354623,0.7672154077466009,0.7671150381122447,0.7665881983045997,0.7664878286702435,0.766384234308679,0.7662834615834216,0.7661802703127583,0.7657868535933539,0.7656860808680965,0.7655853081428393,0.765484132326681,0.7653825534196217,0.7645945107081098,0.7644933348919515,0.7643857096213768,0.7642817121689112,0.7641797301709509,0.7640604152642463,0.7631131516468279,0.7630127820124716,0.7629124123781154,0.7628120427437591,0.7627112700185019,0.7621868487562631,0.7620864791219067,0.7619861094875505,0.7618857398531943,0.7617853702188381,0.7616789542209663,0.7609086475090998,0.7608082778747436,0.7607046835131791,0.7606022984243177,0.7604995102445552,0.7599525158918587,0.7598521462575025,0.7597509704413442,0.7596497946251859,0.7595486188090276,0.7590757931821205,0.7589738111841602,0.7588730384589029,0.7587726688245466,0.7586710899174873,0.7585618522833084,0.7578040413893737,0.7577036717550175,0.757600883575255,0.7574976923045916,0.7570780746766204,0.756977705042264,0.7568696766807883,0.7567693070464321,0.7566560385032428,0.7561816005127316,0.7560808277874743,0.7559804581531181,0.7558784761551578,0.7557555334303439,0.7552552976221668,0.7551508970788002,0.7550493181717409,0.7549461269010774,0.7548441449031171,0.7547433721778598,0.7546357469072851,0.7537437067433077,0.7536421278362484,0.7535409520200901,0.7534397762039318,0.7533394065695755,0.753234602935308,0.7526017502206923,0.752501380586336,0.7524010109519798,0.7522990289540195,0.7521865665926323,0.7518286218725184,0.751724624420053,0.7516238516947957,0.7515182418787261,0.7514178722443698,0.7513166964282115,0.750727377530907,0.7506249924420456,0.7505246228076894,0.7504234469915311,0.7501574069968518,0.7500570373624956,0.7499566677281394,0.749854282639278,0.7497527037322187,0.7496523340978624,0.7495402748273763,0.748675644844669,0.7485752752103126,0.7484749055759564,0.7483737297597981,0.7478815557696417,0.7477811861352853,0.7476804134100281,0.7475796406847708,0.7474752401414043,0.7469697641515138,0.7468685883353555,0.7467678156100982,0.7466666397939399,0.746556595977959,0.7464550170708997,0.7463457794367208,0.7454630103634671,0.7453622376382097,0.7452618680038535,0.7451614983694973,0.7448220958308308,0.7447189045601673,0.7446185349258111,0.7445181652914549,0.7444141678389894,0.7443109765683259,0.7428392916886687,0.7427389220543125,0.7426381493290551,0.7425377796946989,0.7424309606059263,0.7417332102562448,0.7416328406218886,0.7415324709875324,0.7414321013531762,0.7413281039007107,0.7412269280845524,0.7402075111958498,0.7401071415614935,0.7400067719271373,0.739904789929177,0.7398044202948206,0.7390651515823333,0.7389647819479771,0.7388644123136209,0.7387636395883636,0.7384548719581753,0.7383508745057098,0.7382505048713536,0.7381497321460962,0.7380465408754329,0.737938915604858,0.7372484208913952,0.737148051257039,0.7370476816226827,0.7369473119883265,0.7365135861788192,0.7364124103626609,0.7363120407283047,0.7362116710939484,0.7361113014595921,0.7360028700072153,0.7355647101977967,0.7354643405634405,0.735361149292777,0.7352607796584207,0.7351334029336956,0.7344541947654616,0.7343530189493033,0.734252246224046,0.7341518765896897,0.7340430420464119,0.7337326620526194,0.7336314862364612,0.7335311166021049,0.7334283284223425,0.7333275556970853,0.7332195273356095,0.732603604438837,0.7325032348044808,0.7324028651701245,0.7323004800812631,0.7318599017264383,0.731759129001181,0.7316587593668248,0.7315579866415676,0.7314576170072113,0.731357247372855,0.7312548622839936,0.7301636952149079,0.7300629224896507,0.7299520724918677,0.7298512997666103,0.7297509301322541,0.7296199255894197,0.7290181108741832,0.728917741239827,0.7288157592418666,0.7287145834257084,0.7282155568902343,0.7281151872558781,0.7280148176215219,0.7279140448962645,0.7278124659892052,0.7268051418275335,0.7267047721931773,0.7266044025588211,0.7265032267426628,0.7263984231083952,0.7256974480315056,0.7255962722153473,0.7254959025809911,0.7253951298557337,0.7252943571304765,0.7251718174965637,0.7242245538791453,0.7241241842447891,0.7240238146104327,0.7239234449760765,0.7238166258873039,0.7230463191754373,0.722945949541081,0.7228451768158237,0.7227448071814675,0.7226440344562102,0.7225376184583385,0.7217008017478022,0.7215972073862377,0.7214968377518814,0.7213964681175252,0.7212908583014556,0.7205995574061906,0.7204991877718344,0.7203988181374782,0.720298448503122,0.7199155121471443,0.719813933240085,0.7197135636057287,0.7196103723350653,0.7195063748825997,0.7184095645408997,0.7183091949065433,0.7182084221812861,0.7181076494560288,0.7180068767307716,0.7167637443919979,0.7166633747576416,0.7165630051232853,0.7164533643982054,0.7163485607639378,0.7159869882257148,0.7158813784096452,0.7157789933207838,0.7156778175046254,0.7155758355066651,0.7148212493399386,0.7147196704328793,0.7146193007985231,0.7145189311641669,0.714410902802691,0.7139783862658868,0.7138768073588275,0.7137760346335702,0.7136740526356099,0.7135720706376495,0.713426957913279,0.7123942390248424,0.7122938693904862,0.71219349975613,0.7120838590310501,0.7119826832148918,0.7110890306873103,0.710988257962053,0.7108878883276968,0.7105114014261356,0.7104094194281753,0.710309049793819,0.7102082770685617,0.7095250379913174,0.7094246683569612,0.7093242987226049,0.7092231229064466,0.7089574860026685,0.7088571163683122,0.708756746733956,0.7086543616450945,0.7085531858289363,0.7084411265584502,0.7078477767521354,0.7077474071177792,0.7076462313016209,0.7075458616672646,0.7071318873119077,0.7070307114957494,0.7069303418613931,0.7068299722270369,0.7067243624109673,0.706150764058803,0.7060499913335456,0.7059496216991894,0.7058492520648332,0.7057400144306543,0.7056311798873764,0.7046536844523809,0.7045525086362225,0.7044501235473611,0.7043481415494008,0.7042360822789148,0.7036415231998968,0.7035411535655406,0.7034391715675802,0.703338398842323,0.7032311766626492,0.7024104835881539,0.7023101139537977,0.7022093412285404,0.7021089715941842,0.702008601959828,0.7009242874360597,0.7008227085290004,0.7007219358037431,0.7006215661693869,0.7005207934441295,0.7000612698169564,0.6999609001826002,0.6998597243664418,0.6997549207321743,0.699654148006917,0.6995529721907587,0.6987508212977108,0.6986500485724536,0.6985476634835922,0.698447293849236,0.6983469242148796,0.6976491738651983,0.6975488042308421,0.6974484345964859,0.6973476618712285,0.6972472922368723,0.6971384576935945,0.6960630111696489,0.6959626415352926,0.6958622719009364,0.6957538404485596,0.6956530677233023,0.6955446362709254,0.6947400668324714,0.6946392941072141,0.6945389244728579,0.6944381517476006,0.6943349604769371,0.6936239081275218,0.6935227323113635,0.6934223626770073,0.6933167528609376,0.6932151739538783,0.6931144012286211,0.6930071790489474,0.6921115110668606,0.6920083197961973,0.6919071439800389,0.6918047588911775,0.6912194709028833,0.691118295086725,0.6910175223614677,0.6909163465453094,0.6908022718203182,0.6902552774676217,0.6901549078332655,0.6900545381989093,0.689953765473652,0.6894756996650314,0.6893753300306752,0.689274960396319,0.6891745907619627,0.6885393195019409,0.6884385467766836,0.6883373709605253,0.688236195144367,0.6881342131464067,0.6870192637141602,0.6869188940798039,0.6868185244454477,0.6867104960839719,0.6865944059044755,0.6864879899066039,0.6858684391917221,0.6857676664664648,0.6856668937412076,0.6855665241068514,0.685466154472495,0.6846442521252968,0.6845418670364354,0.6844410943111782,0.6843358875860095,0.6842310839517419,0.6841109628632353,0.6833829806959768,0.6832814017889174,0.6831806290636602,0.683080259429304,0.6829734403405312,0.6821406545390051,0.6820398818137479,0.6819383029066884,0.6818375301814312,0.6817266801836482,0.6807507971122568,0.6806496212960985,0.6805492516617423,0.6804460603910788,0.6803452876658215,0.6802287943954242,0.6795052462280768,0.6794004425938094,0.6792996698685521,0.6791993002341958,0.6790957058726313,0.6778259695343897,0.6777239875364294,0.6776203931748649,0.6775192173587066,0.6772547897276314,0.6771540170023742,0.6770528411862159,0.6769512622791566,0.6768432339176808,0.6758955672093614,0.6757951975750052,0.675694827940649,0.6755944583062926,0.6754928793992333,0.6747870672315314,0.6746866975971751,0.6745863279628189,0.6744815243285514,0.6740981848816726,0.6739974121564154,0.6738966394311581,0.6737962697968018,0.6736781641628004,0.67236973109806,0.6722693614637036,0.6721653640112382,0.6720649943768819,0.6719351991067506,0.6710350971247526,0.6709347274903964,0.6708343578560401,0.6707335851307829,0.6706291845874163,0.670001572054514,0.6699003962383557,0.6698000266039995,0.6696996569696432,0.669598884244386,0.6687358666252826,0.6686354969909264,0.6685335149929661,0.6684270989950943,0.6676358315563743,0.6675354619220181,0.6674350922876617,0.6673339164715035,0.6672323375644441,0.6662242072209704,0.6661230314048121,0.6660222586795548,0.6659218890451986,0.6654676055997388,0.6653660266926794,0.6652656570583232,0.665164884333066,0.6645965261626149,0.6644961565282587,0.6643957868939024,0.6642946110777441,0.6641914198070807,0.6634388490948594,0.6633384794605032,0.663238109826147,0.662866863106299,0.6627664934719428,0.6626657207466856,0.6625653511123294,0.6624601443871607,0.66174304567423,0.6616426760398737,0.6615419033146165,0.6609747544168686,0.6608743847825123,0.6607715966027499,0.6606704207865916,0.6605672295159282,0.6604616196998585,0.6597775744408122,0.6596768017155549,0.6595631300814647,0.6594627604471084,0.6593615846309501,0.6586315870091864,0.6585308142839291,0.6584300415586719,0.6583292688334146,0.6579838199312327,0.6578798224787672,0.657779452844411,0.6576746492101434,0.6570430057682308,0.6569402175884683,0.656838638681409,0.6567378659561518,0.6562049797849913,0.656104207059734,0.6560034343344767,0.6559006461547143,0.6558002765203581,0.6556946667042884,0.6549050116291725,0.6548046419948162,0.6547038692695589,0.6546034996352027,0.6544990990918362,0.6535570756561312,0.653456706021775,0.6533555302056167,0.6532511296622502,0.6528657747608663,0.65276540512651,0.6526650354921538,0.6525529762216677,0.652445350951093,0.6523409504077264,0.6518874731440687,0.6517871035097125,0.6516855246026532,0.6515690313322557,0.6510010762527058,0.6508982880729434,0.650797918438587,0.6506967426224288,0.6505959698971715,0.6497446419141981,0.6496434660980398,0.6495249573731372,0.6494233784660779,0.6493226057408206,0.6492222361064643,0.649092440836333,0.6481234103102591,0.6480230406759028,0.6479218648597446,0.6478154488618728,0.6475066812316845,0.6474063115973283,0.6473059419629721,0.6472035568741107,0.6464993570700128,0.6463989874356566,0.6462986178013004,0.6461982481669442,0.6460926383508745,0.6456931752679547,0.6455911932699944,0.645490420544737,0.6453860200013705,0.6445496063817352,0.6444456089292696,0.6443452392949134,0.6442412418424479,0.6435789634920571,0.6434781907667998,0.6433766118597405,0.6432653587710565,0.6429223284142807,0.6428215556890234,0.6427211860546672,0.642620816420311,0.6425156096951423,0.6419831266148829,0.6418823538896257,0.6417815811643683,0.6416808084391111,0.640958872635368,0.6408585030010118,0.6407581333666555,0.64065413591419,0.6405525570071307,0.6399781524731643,0.6398757673843029,0.6397741884772435,0.6396722064792831,0.6395629688451042,0.6388305526779344,0.6387293768617761,0.6386290072274199,0.6385258159567564,0.6384254463224002,0.6378623283336625,0.6377615556084053,0.637660782883148,0.6375604132487918,0.6374519817964149,0.6366308856310187,0.6365305159966624,0.6364257123623949,0.6363213118190283,0.6356086471060088,0.6355070681989495,0.6354066985645933,0.635305119657534,0.635194269659751,0.6340805295002075,0.6339801598658513,0.6338797902314951,0.6337753896881285,0.6336653458721476,0.6331352813372944,0.633032493157532,0.6329321235231757,0.6328309477070174,0.631813949363721,0.6317135797293648,0.6316128070041075,0.6315059879153347,0.6314048120991765,0.6312838848288678,0.6306889226589488,0.6305853282973843,0.6304849586630281,0.6303845890286719,0.6302801884853053,0.6298964459475256,0.6297960763131694,0.6296957066788131,0.6295953370444569,0.6294780375922574,0.6288729981498128,0.6287718223336545,0.6286714526992982,0.628571083064942,0.6281296985283151,0.6280293288939589,0.6279285561687016,0.6278281865343454,0.6277145149002552,0.6271691329111628,0.6270687632768066,0.6269683936424503,0.626868024008094,0.6267624141920245,0.6261025543870398,0.6260021847526835,0.6259018151183273,0.6258014454839711,0.6257006727587138,0.6249404433193729,0.6248400736850167,0.6247393009597594,0.6246389313254032,0.6245357400547398,0.6244317426022742,0.6243172647863819,0.6232825304434403,0.6231817577181831,0.6230805819020248,0.6229757782677572,0.6228721839061927,0.6223687233708074,0.622266741372847,0.6221663717384908,0.6220660021041345,0.6219535397427474,0.6213513219366099,0.6212505492113527,0.6211501795769964,0.6210498099426401,0.6209478279446798,0.6208192419472516,0.6199074503291238,0.6198070806947675,0.6197063079695102,0.6196039228806488,0.6190545099825462,0.61895414034819,0.6188537707138336,0.6187534010794774,0.6186530314451212,0.6179762418222934,0.6178754690970361,0.6177750994626798,0.6176711020102144,0.6175610581942333,0.6169802042058504,0.6168798345714942,0.616779464937138,0.6166678087575529,0.6165666329413946,0.6164646509434343,0.6163626689454739,0.6162429509478683,0.6154742565996058,0.6153738869652495,0.6152670678764768,0.6151662951512196,0.6150659255168633,0.614965152791606,0.6141368009899912,0.614036431355635,0.6139360617212788,0.6138352889960215,0.613247582462321,0.6131451973734597,0.6130407968300932,0.6129392179230339,0.6128259493798447,0.6127231612000822,0.6120572550315821,0.6119564823063249,0.6118536941265624,0.6117525183104042,0.6116509394033448,0.6111551375950791,0.6110547679607228,0.6109531890536635,0.6108528194193072,0.6107484188759407,0.6102840581579552,0.6101804637963907,0.6100772725257273,0.6099748874368659,0.6098624250754787,0.6090909090909091,0.6089905394565528,0.6088897667312956,0.6084765985577407,0.6083758258324835,0.6082750531072262,0.6081714587456617,0.6072870773088039,0.6071867076744477,0.6070855318582894,0.6069819374967249,0.606609481504174,0.6065091118698177,0.6064087422354615,0.6062958767831734,0.605791610065986,0.6056908373407287,0.6055900646154714,0.6054892918902142,0.6053647368017961,0.6045392066364886,0.6044364184567261,0.6043340333678648,0.6039591588299077,0.6038579830137494,0.6037555979248881,0.6036552282905318,0.6035536493834724,0.6034423962947885,0.6028244579435108,0.6027240883091546,0.6026217032202932,0.602521333585937,0.6024165299516694,0.6016595252395368,0.6015591556051805,0.6014587859708243,0.6013576101546659,0.6012564343385077,0.6011463905225267,0.6004796781722246,0.6003793085378684,0.6002789389035121,0.6001785692691559,0.5991740667437914,0.59907168165493,0.5989696996569697,0.5982457483987214,0.598144572582563,0.5980442029482068,0.5979418178593454,0.5978410451340882,0.5972045646013633,0.5970989547852936,0.5969985851509374,0.5968978124256801,0.5967974427913239,0.5964612649798656,0.5963608953455094,0.5962605257111532,0.5961593498949949,0.5955301249984885,0.5954233059097157,0.5953205177299533,0.5952177295501908,0.5951056702797047,0.5944087261118255,0.5943071472047662,0.5942067775704098,0.5941064079360536,0.5934820201303596,0.5933804412233002,0.593279668498043,0.5931764772273795,0.5930628055932894,0.5929446999592878,0.591978491069521,0.5918781214351648,0.5917777518008086,0.5912533305385698,0.5911513485406094,0.5910505758153521,0.5909473845446886,0.5908345190924005,0.5902028756504879,0.5901021029252307,0.5900017332908745,0.589900154383815,0.5897965600222507,0.5892842314870427,0.5891834587617854,0.589080267491122,0.5889722391296461,0.5882112035085032,0.588110833874147,0.5880092549670877,0.5879080791509294,0.587016038986952,0.5869128477162885,0.5868124780819323,0.5867117053566749,0.5865166093605769,0.5864146273626165,0.5863126453646562,0.5862122757303,0.5861098906414386,0.5856854359226549,0.5855850662882987,0.5854842935630414,0.5853839239286852,0.5852666244764857,0.5847958143040837,0.5846954446697274,0.5845942688535691,0.5844906744920046,0.5843201670408694,0.5835639685105388,0.5834619865125784,0.5833612137873212,0.5832552008803505,0.5831516065187861,0.5825304434403002,0.5824288645332409,0.5823284948988846,0.5822281252645284,0.582125740175667,0.5817605398193346,0.5816601701849784,0.5815598005506222,0.5814590278253648,0.5813586581910086,0.5812542576476422,0.5806298698419481,0.5805295002075919,0.5804291305732355,0.5803279547570772,0.5797019545877791,0.5795959416808084,0.5794955720464522,0.5793935900484918,0.5792920111414325,0.5785861989737305,0.5784858293393743,0.5783854597050181,0.5782850900706619,0.5781839142545036,0.5780803198929391,0.577317268817291,0.5772168991829347,0.5771165295485785,0.5770157568233212,0.5764566697435939,0.5763534784729304,0.5762422253842464,0.5761418557498902,0.5760366490247215,0.5759262021178396,0.5750140074088108,0.5749132346835535,0.5748128650491973,0.5747104799603359,0.5746101103259796,0.5742723201509172,0.5741650979712435,0.5740631159732832,0.5739627463389269,0.5738591519773624,0.5737483019795794,0.573090054538199,0.5729888787220406,0.5728885090876844,0.572786930180625,0.5726740647283369,0.5718122563819367,0.5717118867475804,0.5716111140223231,0.5715099382061649,0.5710862896691833,0.5709859200348271,0.5708827287641636,0.5707823591298073,0.5706779585864409,0.5701837691417792,0.5700833995074229,0.5699830298730667,0.5698822571478094,0.5693143020682594,0.5692139324339032,0.5691119504359428,0.5690107746197846,0.5689104049854282,0.5687927024423278,0.567688233373508,0.5675854451937457,0.5674818508321812,0.5673798688342208,0.5672786930180626,0.5666534990305664,0.5665531293962102,0.5664515504891509,0.5659952515891858,0.5658932695912255,0.5657928999568693,0.565692530322513,0.5655905483245527,0.5654805045085717,0.5647505068868081,0.5646497341615507,0.5645493645271945,0.5641446612625614,0.5640426792646009,0.5639419065393437,0.5638415369049874,0.5637339116344127,0.5629148309235216,0.5628144612891653,0.5627140916548091,0.5626129158386508,0.5619530560336662,0.5618522833084089,0.5617507044013496,0.5613754267724914,0.561271832410927,0.5611686411402635,0.5610682715059073,0.5609622585989367,0.5602512062495213,0.5601508366151651,0.5600504669808088,0.5599500973464526,0.5591406908171862,0.5590399180919289,0.5589335020940572,0.5588319231869979,0.5581361882918217,0.5580350124756633,0.5579346428413071,0.5578342732069509,0.5577330973907926,0.5566745806846902,0.5565734048685319,0.5564702135978684,0.556367828509007,0.5562581877839271,0.555799470338556,0.5556986976132988,0.5555983279789425,0.5554967490718832,0.5553778372560796,0.5546401809071964,0.5545297340003144,0.5544293643659581,0.5538497196502783,0.553747737652318,0.5536465618361597,0.5535413551109911,0.5534276834769009,0.5524167314971199,0.5523163618627637,0.5522159922284074,0.5521156225940512,0.5520112220506846,0.5511046706142703,0.5510022855254089,0.5509019158910526,0.5507918720750716,0.5502867991760823,0.5501856233599239,0.5500844475437656,0.5499828686367063,0.5498708093662201,0.549438695920317,0.5493383262859608,0.5492379566516045,0.5491355715627431,0.5486740324810648,0.5485736628467086,0.5484732932123523,0.5483696988507878,0.547831975588815,0.5477316059544588,0.5476312363201026,0.5475119214133979,0.5469834692421488,0.5468830996077926,0.5467827299734364,0.546681957248179,0.5465674794322868,0.546238154166146,0.5461365752590867,0.5460358025338294,0.5459346267176711,0.5451034532797491,0.5450030836453928,0.5449006985565314,0.5448003289221752,0.5442360016607345,0.5441344227536752,0.544034053119319,0.5439324742122597,0.543826461305289,0.5433310625879242,0.543230692953568,0.5431299202283106,0.5430029465944866,0.5418488973448402,0.541748527710484,0.5416477549852268,0.5415453698963654,0.5405723084612811,0.5404646831907063,0.5403639104654491,0.5402635408310928,0.5401611557422314,0.5400410346537248,0.5392054272158915,0.5391046544906342,0.5390022694017728,0.5386193330457951,0.5385189634114389,0.5384185937770827,0.5383174179609244,0.5374789888867838,0.5373786192524276,0.5372782496180714,0.5371778799837151,0.5370771072584578,0.5369747221695965,0.5357251403764063,0.5356231583784459,0.5355223856531887,0.5354183882007232,0.5353107629301483,0.5347883571224147,0.5346879874880585,0.5345872147628011,0.5344852327648408,0.534376801312464,0.5338273884143613,0.5337270187800051,0.5336258429638467,0.5332344416989475,0.5331340720645913,0.5330337024302351,0.5324903358956479,0.5323859353522813,0.5322855657179251,0.5321835837199647,0.5317752526372223,0.5316744799119649,0.5315741102776087,0.5314733375523514,0.5313548288274489,0.5305974210244152,0.530482943208523,0.5303813643014637,0.5302745452126909,0.5301733693965326,0.5293853266850207,0.5292845539597635,0.5291841843254073,0.5290826054183478,0.528460233067159,0.5283598634328027,0.5282558659803372,0.5281514654369707,0.5273428650895063,0.527242092364249,0.5271417227298928,0.5270397407319325,0.5265697367413326,0.5264685609251742,0.526368191290818,0.5262625814747484,0.525717199485656,0.5256132020331905,0.5255128323988343,0.525411656582676,0.5245123607824801,0.5244107818754207,0.5243104122410644,0.524206414788599,0.523570337346775,0.5234683553488148,0.5233667764417553,0.5232656006255971,0.5231575722641213,0.5227028857277605,0.5226017099116022,0.5225009371863449,0.5223993582792855,0.5222969731904241,0.5217060419295155,0.5216052692042582,0.521504899569902,0.5214025144810406,0.5212993232103772,0.5207019424950521,0.5206015728606959,0.5204999939536364,0.520382694501437,0.5202609610493263,0.5192564585239617,0.5191560888896055,0.5190541068916451,0.5184942136301157,0.5183938439957595,0.518290652725096,0.5181882676362346,0.5180870918200764,0.517515105831516,0.5174147361971598,0.5173135603810015,0.517208353655833,0.5167564887557793,0.5166516851215117,0.5165505093053534,0.5164465118528879,0.5163437236731255,0.5155568902343167,0.5154565205999605,0.5153557478747032,0.5152448978769202,0.5151348540609393,0.5146442924343869,0.5145439228000306,0.5144415377111693,0.514340361895011,0.513758701724826,0.5136559135450636,0.5135527222744001,0.5134519495491429,0.5133479520966773,0.5125865133846333,0.5124861437502771,0.5123857741159209,0.5119081113982014,0.5118073386729441,0.5117069690385879,0.5116061963133306,0.5114965555882507,0.5106258792420278,0.5105234941531664,0.5104231245188102,0.510322754884454,0.5102223852500978,0.5101046827069973,0.5093738789034316,0.5092735092690752,0.509172736543818,0.5090711576367587,0.5089570829117674,0.5084358863767369,0.5083347105605786,0.5082339378353212,0.5081307465646578,0.5080263460212913,0.5079009847510713,0.5069924178601516,0.5068912420439934,0.506790872409637,0.5062845902379446,0.5061834144217863,0.506081835514727,0.5059814658803706,0.5058778715188063,0.5055384689801398,0.5054356808003773,0.505335311166021,0.5052345384407638,0.5047173728147435,0.5046121660895748,0.5045113933643176,0.5041212013721215,0.5040103513743385,0.5039099817399821,0.5037979224694961,0.5032360137534615,0.5031356441191053,0.503034065212046,0.5026079981296582,0.502507628495302,0.5024072588609457,0.502300439772173,0.5021944268652023,0.5016716179665677,0.5015700390595083,0.501455561243616,0.5013551916092598,0.5009053421637113,0.5008045694384541,0.5007033936222958,0.500594559079018,0.5002233123591702,0.5001229427248138,0.5000185421814474,0.49991776945619004,0.4998153843673287,0.4997101776421601,0.4996065832805956,0.49834128094226526,0.49824091130790904,0.4981405416735528,0.4976870644098951,0.49758669477553885,0.4974851158684795,0.49738313387051913,0.496757536792122,0.49665716715776576,0.4965567975234095,0.4964560247981522,0.49635202734568673,0.4956796717227702,0.49557768972480987,0.4954773200904536,0.49537614427429527,0.4949214577379345,0.49481866955817205,0.49471749374201374,0.4946110777441421,0.49410640793605365,0.4940056352107964,0.4939048624855391,0.4938012681239746,0.49336834849626937,0.49326515722560593,0.4931647875912497,0.4930636117750914,0.4929567926863187,0.4921082863396525,0.4920079167052962,0.49190754707094,0.4918071774365837,0.4917068078022275,0.49159152380453314,0.49104372327003465,0.49094335363567837,0.49084298400132215,0.4907422112760649,0.49062974891467775,0.49019642619607146,0.4900956534708142,0.4899876251093384,0.48988564311137806,0.4897836611134177,0.4896659585703172,0.48900005240181715,0.48889887658565884,0.4887972976785995,0.48869088168072783,0.48815275532785396,0.48805117642079465,0.4879504036955374,0.487848018606676,0.48773152533627856,0.4872615213456787,0.4871611517113224,0.48705513880435175,0.4869547691699955,0.4868535933538372,0.4863904419085548,0.48629007227419857,0.48618889645804025,0.48608127118746547,0.4854302793823035,0.4853291035661452,0.4852279277499869,0.48512634884292755,0.48501832048145177,0.4842750208599541,0.4841746512255979,0.48407428159124166,0.4836099208732561,0.4835095512388999,0.48340837542274157,0.4833055872429792,0.48253608671291465,0.48243571707855837,0.482333331989697,0.4816807278209309,0.48157592418666334,0.481474748370505,0.4813731694634457,0.48127279982908944,0.4804887880265879,0.4803876122104296,0.48028643639427127,0.48017800494189444,0.4797188844056223,0.47961851477126605,0.47920534659771125,0.479104976963355,0.47900420423809775,0.47889093569490854,0.47804202625734127,0.47794165662298504,0.4778408838977278,0.47740554572461635,0.4773047729993591,0.47720440336500286,0.4771024213670425,0.4769972146418739,0.4768895893712991,0.47614588665890045,0.4760451139336432,0.47594474429928696,0.4758419561195245,0.47515992631498327,0.47505955668062705,0.47495676850086466,0.4746758141428474,0.4745754445084911,0.4744750748741349,0.47437188360347143,0.47332021944268654,0.4732182374447262,0.4731178678103699,0.4730154827215085,0.4727655663628705,0.47266519672851426,0.472564827094158,0.47245841109628633,0.4720254914685811,0.47192230019791764,0.47181669038184804,0.47171632074749176,0.4710806463965689,0.47098027676221266,0.47086579894632036,0.4703579044110237,0.4702575347766675,0.47015716514231126,0.470056392417054,0.4699447362374689,0.46927197752365135,0.4691712047983941,0.4690647888005224,0.468962806802562,0.4685508479017103,0.4684504782673541,0.4683501086329978,0.46824893281683955,0.4681409044553637,0.4675084548316491,0.4674000233792723,0.467299653744916,0.4671952532015495,0.467091658839985,0.4656820499590863,0.465580874142928,0.4654805045085717,0.46537811941971036,0.4650189654268934,0.46491819270163615,0.4648174199763789,0.4647166472511216,0.4646154714349633,0.4645118770733988,0.46387096254076254,0.4637705929064063,0.4636641769085346,0.4634255470951254,0.4633251774607692,0.46322480782641295,0.46312363201025464,0.4630224561940963,0.46249037620473793,0.4623892003885796,0.4622888307542234,0.462187251847164,0.4620506040317152,0.46121338423027775,0.4611126115050205,0.46101103259796117,0.46049064224473263,0.46039027261037635,0.460288290612416,0.4595482157181266,0.4594470399019683,0.45934667026761206,0.45903508100111656,0.45893390518495825,0.458833132459701,0.45825227847131805,0.45815190883696183,0.4580515392026056,0.45794875102284316,0.4573130766719203,0.457212303946663,0.45711153122140574,0.45648230632489933,0.456380324326939,0.4562795516016817,0.45617918196732543,0.45548788107206056,0.4553871083468033,0.4552750490763172,0.4551646021694352,0.4547264423600166,0.45462607272566036,0.45452368763679896,0.45442331800244273,0.45432093291358133,0.4533353756605652,0.453235006026209,0.45313100857374344,0.4530306389393872,0.4523304700442997,0.4522296973190424,0.45212932768468617,0.45202895805032994,0.45163030114921215,0.45152993151485593,0.45142956188049965,0.45132274279172696,0.4508732964370795,0.4507709113482181,0.4506705417138619,0.4505689628068026,0.4500751764530419,0.44997319445508155,0.4498728248207253,0.4497724551863691,0.44896022702079547,0.44885905120463715,0.44875747229757784,0.44865105629970614,0.4480988217652963,0.44799845213094003,0.4478968732238807,0.44778803868060285,0.4473228717808153,0.44722250214645903,0.44711890778489455,0.44698951560566424,0.4462716107109314,0.44616277616765354,0.4460595848969901,0.4459555874445246,0.44583828799232517,0.4455093658170854,0.44540577145552096,0.4453054018211647,0.44520422600500636,0.445102244007046,0.4444536707472902,0.44435249493113194,0.44425212529677566,0.4441489340261122,0.44351406585699144,0.44341369622263516,0.4433105049519717,0.4421713700656635,0.4420701942495052,0.44196942152424795,0.4412938411741232,0.44119105299436073,0.4410894740873014,0.440986282816638,0.440515472644236,0.44040945973726536,0.4403086870120081,0.4402022710141364,0.4394315612113688,0.43933119157701256,0.4392284033972501,0.43912642139928976,0.43902282703772527,0.4384669646852062,0.4383649826872458,0.43826461305288955,0.43782484087986684,0.43772245579100544,0.43762208615664916,0.4375213134313919,0.4366828843572514,0.43658251472289517,0.43648214508853894,0.4359907772801844,0.43589000455492716,0.43578963492057093,0.4356876529226106,0.4353728389289069,0.4352720662036496,0.43516766566028303,0.4347835200316023,0.43468234421544405,0.43458036221748364,0.4344783802195233,0.43397612895684107,0.4338757593224848,0.43377538968812857,0.43367421387197025,0.43322315515371873,0.4331211731557584,0.43301999733960006,0.4329014886146975,0.43239359407940087,0.4322932244450446,0.43219285481068836,0.43209167899453005,0.4315438784600315,0.43144310573477423,0.431342736100418,0.4312395448297546,0.4308521744738656,0.4307514017486083,0.43064659811434075,0.4305401821164691,0.4299323210377172,0.42983195140336095,0.4297307755872027,0.4296304059528464,0.429098325963488,0.42899231305651736,0.42888791251315084,0.42838767670497374,0.4282873070706175,0.4281752478001314,0.4280740719839731,0.42797249307691376,0.42705949218608286,0.42695912255172663,0.4268571405537663,0.42661125510413855,0.4265108854697823,0.426410112744525,0.4263073245647626,0.4259376902085189,0.4258320803924493,0.425731307667192,0.4256212638512111,0.424913839319905,0.4248134696855488,0.4247126969602915,0.42434346569494885,0.4242370496970772,0.4241366800627209,0.4240282486103441,0.42391699552166007,0.4235594538924473,0.42345908425809103,0.42335831153283376,0.422973762813252,0.4228733931788958,0.42277302354453955,0.4226722508192823,0.42221151791940603,0.4221107451941487,0.42200997246889144,0.42150127175179275,0.4214004990265355,0.4212997263012782,0.42097644739865286,0.42087527158249455,0.4207749019481383,0.4206725168592769,0.420216621050213,0.4201081895978362,0.42000781996347997,0.4198933421475877,0.41979297251323144,0.4194580039744763,0.41935763434012,0.41925565234215967,0.41883563162328735,0.4187304248981188,0.4186296521728615,0.41852807326580216,0.4184273005405449,0.4179826912767098,0.41788232164235356,0.41778195200799734,0.41754412837639016,0.4174433556511329,0.41734298601677666,0.4172426163824204,0.41672545075640005,0.4166250811220438,0.41652027748777626,0.4158281704107093,0.4157278007763531,0.41562662496019476,0.4155226275077293,0.4150010278817976,0.41490025515654033,0.414798676249481,0.4146958880697186,0.41459551843536235,0.41448265298307424,0.4138683424499059,0.4137675697246486,0.4133104646428816,0.41321009500852535,0.4131089191923671,0.4124518810236896,0.4123515113893334,0.4122503355731751,0.4117803315825752,0.41167955885731794,0.41157918922296166,0.4114711608614859,0.4111208748684916,0.41102050523413536,0.4109201355997791,0.410807673238392,0.41010427961609625,0.41000390998173997,0.40990354034738374,0.40950770508257317,0.40940128908470147,0.4092932607232257,0.4091876509071561,0.40853343437478584,0.40843266164952857,0.40831495910642807,0.40795540202271013,0.4078550323883539,0.4077538565721956,0.4076522776651363,0.40719073858345795,0.40708956276729963,0.4069891931329434,0.4068888234985872,0.40623299460261286,0.4061326249682566,0.40602822442489006,0.40571381352208735,0.4056130407968301,0.40551267116247386,0.4054078675282063,0.405306288621147,0.40440658973005,0.4043062200956938,0.40420585046133756,0.4041038684633772,0.40398697210207873,0.40323238593535227,0.403131210119194,0.40302963121213464,0.40269345340067636,0.40259308376632014,0.40249029558655774,0.4023846857704881,0.4018348697814844,0.401732484692623,0.40163130887646475,0.40135156379115056,0.4012507910658933,0.401150018340636,0.40104924561537875,0.400443399991132,0.40034303035677576,0.40024185454061745,0.3998073225493081,0.39970695291495184,0.3996057770987935,0.39950500437353625,0.3989140731126276,0.3988112849328652,0.3987101091167069,0.39820019912690513,0.39809942640164786,0.39799542894918233,0.39789465622392506,0.39757702059391414,0.39747665095955786,0.3973746689615975,0.3972718807818351,0.39687080533531116,0.39677043570095494,0.39666966297569767,0.39656123152332085,0.39629075752873033,0.396189984803473,0.3960839718965024,0.3959763466259276,0.3952874642760689,0.39517580809648384,0.39507342300762244,0.39474530701418475,0.39464493737982853,0.3945445677454723,0.3942301568426696,0.3941297872083133,0.39402699902855093,0.39391816448527306,0.39336794540536835,0.3932675757710121,0.3931672061366559,0.39280643978023483,0.39270566705497756,0.3926048943297203,0.3919091594345441,0.39180878980018785,0.3917080170749306,0.3912775159926315,0.39117553399467114,0.3910751643603149,0.39040563037370557,0.3903048576484483,0.39019562001426944,0.38973730565979936,0.389635323661839,0.38894644131198025,0.38884486240492094,0.3887436865887626,0.3886312242273755,0.38811607405586035,0.38801570442150407,0.38791533478714785,0.38781133733468237,0.38718130625637387,0.3870805335311166,0.3869684742606305,0.38686810462627425,0.3867649133556108,0.38616995118569186,0.38606958155133564,0.3859684057351773,0.385866020646316,0.3854040784737366,0.38529806556676593,0.3851932619324984,0.3846760963064781,0.38457492049031977,0.38447455085596355,0.3843616854036754,0.38351841923872254,0.3834168403316632,0.38331364906099974,0.3829831145221559,0.38288274488779966,0.3827823752534434,0.3826787808918789,0.3821600029022545,0.38205640854069,0.3819548296336307,0.38185002599936313,0.38118976310347746,0.38108939346912124,0.38098862074386397,0.38051660129875886,0.38041623166440264,0.3803158620300464,0.3802094460321747,0.3798087736765518,0.37970477622408627,0.37960440658973005,0.37949476586465014,0.37904975350991404,0.37894938387555777,0.3788461926048943,0.37874541987963706,0.3781681937093634,0.37806782407500716,0.3779674544406509,0.37786708480629466,0.3769492468246514,0.3768488771902952,0.37674729828323583,0.3766453162852755,0.3762115904757682,0.37611122084141196,0.37601004502525365,0.37590362902738195,0.3750901915891053,0.374989821954749,0.3748894523203928,0.3747826332316201,0.3741610670622332,0.3740602943369759,0.37395710306631247,0.3738438345231233,0.3733742336234244,0.3732730578072661,0.3731726881729099,0.3730606289024238,0.37295784072266136,0.372287097463349,0.3721867278289927,0.3720863581946365,0.371982763833072,0.37167278693018063,0.37157120802312127,0.371470435297864,0.37136966257260673,0.37078719622061973,0.37068682658626345,0.37058403840650106,0.3701603898695195,0.3700600202351632,0.36995924750990594,0.36951141351886263,0.3694110438845064,0.36930906188654605,0.36874957171591766,0.36864920208156143,0.36854883244720515,0.3682481266350375,0.3681477570006812,0.368047387366325,0.3679353280958389,0.3678204471890456,0.3676954890097266,0.3668614939354974,0.36676112430114116,0.3666607546667849,0.3663580334001121,0.3662572606748548,0.36615689104049853,0.3660553121334392,0.36551920123507053,0.3654180254189122,0.36531322178464465,0.3647847696133955,0.3646843999790393,0.364583627253782,0.3642764719871978,0.3641732807165344,0.36407291108217815,0.36355655163795986,0.3634493294582861,0.36334855673302885,0.3631103300105207,0.36300996037616445,0.3629051567418969,0.3623831540250642,0.36228278439070793,0.3621824147563517,0.36207761112208414,0.36149635404280017,0.3613943720448398,0.36129239004687946,0.36089695787296994,0.36079618514771267,0.36069581551335644,0.3605946396971981,0.3601302789792126,0.3600291031630543,0.3599255088014898,0.3594998448100031,0.35939826590294377,0.35929588081408237,0.35919430190702306,0.35862594373657203,0.3585255741022158,0.35842480137695854,0.3579568128408637,0.3578564432065075,0.35775365502674505,0.3570941983126615,0.3569926194056022,0.3568918466803449,0.3567813997734629,0.35614733778614416,0.35604696815178793,0.35594659851743166,0.35584098870136205,0.3549924823546958,0.35489050035673547,0.3547889214496761,0.3541209998266709,0.35401861473780954,0.35391824510345327,0.3536062527460568,0.3535058831117005,0.35340390111374015,0.35330232220668084,0.3527339640362298,0.35263077276556637,0.3525219382222885,0.3524207624061302,0.35179879314584234,0.351696811147882,0.3515924106045154,0.3512469617023335,0.3511453827952742,0.3510434007973138,0.35056170717058405,0.3504609344453268,0.3503601617200695,0.349895801002084,0.3497922066405195,0.34969022464255917,0.3491508890169822,0.349050519382626,0.3489501497482697,0.34884373375039807,0.34829069303418614,0.3481903233998299,0.34808874449277055,0.3477368461361722,0.34763647650181595,0.3475357037765586,0.34743493105130135,0.34678716397334763,0.34668639124809036,0.3465856185228331,0.34545978563625884,0.34535941600190256,0.34525783709484326,0.3447072149240375,0.34460603910787924,0.34450244474631475,0.34439723802114613,0.3440126893015644,0.34391231966720814,0.34363942712721146,0.34353825131105314,0.3434378816766969,0.3432839009525038,0.34271070569124046,0.3426091267841811,0.3425067416953197,0.3422245780645993,0.34212380533934206,0.3420202109777776,0.3416271973492742,0.3415256184422149,0.34142484571695764,0.3413244760826014,0.3408564875465066,0.3407536993667442,0.34065212045968485,0.3405477199163183,0.34007408810760914,0.3399737184732529,0.33987173647529256,0.3397645142956188,0.33931668030457546,0.3392155044884172,0.33911271630865475,0.3388265217689241,0.33872615213456786,0.3386229608639044,0.33852218813864715,0.33754106488554236,0.3374406952511861,0.3373379070714237,0.33697270671509133,0.33687233708073505,0.3367715643554778,0.3361798269127671,0.33607905418750983,0.3359786845531536,0.3355062620171475,0.3354058923827912,0.3351209071157637,0.3350197312996054,0.3349121060290306,0.33479077566782084,0.3346670267612049,0.3340555378643438,0.3339547651390865,0.3338535893229282,0.332936154432186,0.3328353817069287,0.3327338027998694,0.33263303007461215,0.33252661407674045,0.33242019807886874,0.3320175102687407,0.3319139159071762,0.33180911227290866,0.33170753336584935,0.3309368235630817,0.33083645392872546,0.3307356812034682,0.33045230830004474,0.33034669848397513,0.33024632884961885,0.32965459140690817,0.32955422177255195,0.32945385213819567,0.32897659251137723,0.328876222877021,0.3287698068791493,0.3283445459785636,0.3282441763442074,0.32814300052804907,0.327726607627286,0.3276262379929298,0.3275125663588396,0.327158249456835,0.32705787982247875,0.32694985146100297,0.3264298641986754,0.32632868838251716,0.32622630329365576,0.32561803912400283,0.3255176694896466,0.3254172998552904,0.32483684895780846,0.32473647932345223,0.32463570659819496,0.3245321122366305,0.3239383593394146,0.3238379897050584,0.32373479843439495,0.3233264673516525,0.3232260977172962,0.3231245188102369,0.32302253681227655,0.32235945228008367,0.3222566641003213,0.322156294465965,0.32204463828637997,0.3216387257490437,0.32153754993288536,0.32122596066638986,0.32112559103203364,0.3210244152158753,0.32092364249061806,0.320410507773608,0.3203101381392518,0.3202097685048955,0.3199719448732884,0.3198711721480311,0.3197683839682687,0.3192822563416276,0.3191818867072714,0.31907909852750893,0.31858893999185756,0.31848857035750133,0.318386588359541,0.3182862187251847,0.3178008972803457,0.31769810910058327,0.31759491782991983,0.3174897111047512,0.3173768456524631,0.31638725749043667,0.31627882603805985,0.3161784564037036,0.3156467795052462,0.3155456036890879,0.31544442787292964,0.31534204278406824,0.3152372391498007,0.3144189646207116,0.31431819189545435,0.3142150006247909,0.3139421080847942,0.3138397229959328,0.3136800989991253,0.31355755936521246,0.313440259913013,0.312609086475091,0.3125087168407348,0.3124083472063785,0.31189440630756643,0.3117924243096061,0.3112889637742207,0.3111865786853593,0.3110503339608115,0.31094714269014806,0.31059081033363833,0.3104904406992821,0.31039007106492583,0.3098450921667345,0.30973786998706077,0.3096346787163973,0.30913605527182436,0.3090352825465671,0.3089349129122108,0.3088313185506464,0.30842298746790386,0.3083222147426466,0.3082214420173893,0.3078800240242177,0.30777965438986143,0.30767686621009904,0.3071617160385839,0.3070613464042276,0.3069585582244652,0.30651153041522394,0.3064111607808677,0.3063099849647094,0.3055199267986924,0.3054195571643361,0.30531838134817785,0.3048209671763079,0.3047205975419517,0.30430299536848554,0.3042026257341293,0.30409661282715866,0.30363547683638137,0.303532688656619,0.30343070665865857,0.3031811933909216,0.30308082375656537,0.30297884175860496,0.3022206277737693,0.302120258139413,0.30201505141424445,0.30191145705267997,0.3014063841536905,0.30130601451933425,0.30101175816158304,0.3009109854363258,0.3008106158019695,0.30070742453130606,0.3002067856322279,0.30010601290697064,0.3000052401817134,0.2999000334565448,0.2995682896449978,0.2994679200106416,0.2993671472853843,0.299265568378325,0.2991623771076615,0.29866899384480194,0.2985686242104457,0.29846825457608944,0.2983582107601085,0.29781726277092746,0.29771608695476914,0.29761450804770984,0.29728195805436086,0.2971815884200046,0.29708121878564836,0.2966966700660666,0.29659630043171037,0.29647174534329235,0.2963713757089361,0.2957639177210853,0.295663548086729,0.2955631784523728,0.29546200263621447,0.2953600206382541,0.29524997682227316,0.29462679828928223,0.2945256224731239,0.2943926024757843,0.29427651229628793,0.29417130557111937,0.2936916273988947,0.2935912577645385,0.29348685722117196,0.293182120499994,0.29308134777473666,0.29297976886767735,0.2923888376067687,0.2922872586997094,0.2921836643381449,0.2919534994336573,0.29185312979930106,0.2917527601649448,0.29164432871256796,0.29109249726905917,0.2909921276347029,0.2908913549094456,0.29046045073624555,0.2903596780109883,0.290258905285731,0.2901585356513747,0.2898280011125309,0.28972682529637256,0.2896248432984122,0.28952407057315493,0.2890468109463365,0.2889464413119803,0.28864654168161463,0.28854576895635736,0.288443786958397,0.2879129162417417,0.2878125466073854,0.2877121769730292,0.2876045517024544,0.2868729417170866,0.28677216899182933,0.28667139626657206,0.2865524844507685,0.2858982679183983,0.285797898284042,0.28569712555878474,0.28558305083379354,0.28501428957244146,0.2849135168471842,0.28481153484922384,0.28435846067646714,0.2842580910421109,0.28415772140775464,0.28405211159168503,0.28341643724076215,0.28331606760640593,0.28321529488114866,0.28311290979228726,0.28254334234913314,0.2824429727147769,0.28234219998951965,0.2820814001765538,0.2819798212694945,0.28187703308973205,0.28146265564347417,0.2813622860091179,0.2808757552915758,0.28077377329361547,0.2806734036592592,0.28056618147958545,0.28002603967220646,0.27992567003785024,0.279645521861635,0.27954112131826847,0.27944075168391225,0.2789634920570938,0.2788623162409355,0.27875186933405355,0.2783056477066143,0.2782052780722581,0.27810410225609977,0.27771068553669537,0.27761031590233914,0.2775095431770819,0.2771435366389475,0.2770431670045912,0.2769423942793339,0.27671142319304426,0.27661105355868804,0.27650745919712355,0.2764054771991632,0.2759382948448705,0.2758375221196132,0.27573271848534564,0.2753896881285699,0.2752893184942136,0.27518572413264913,0.2748959017748092,0.274795532140453,0.27469516250609677,0.2745843125083138,0.2738148119782492,0.27371444234389297,0.27349112998472286,0.27339076035036664,0.27328716598880215,0.27318599017264383,0.2726700338193266,0.2725664394577621,0.2724660698234059,0.27236489400724756,0.2718916652894394,0.2717912956550832,0.27169052292982593,0.2712975093013225,0.2711971396669663,0.271095963850808,0.27040627531914724,0.27030268095758275,0.27020150514142444,0.27010073241616717,0.2699898824183842,0.2698834664205125,0.2697826936952552,0.2696702313338681,0.2692433580696783,0.26914258534442104,0.26904221571006476,0.26878988080602056,0.2686891080807633,0.26832471390623297,0.2682235380900747,0.26812074991031226,0.2677055662822523,0.267604793556995,0.26750402083173774,0.26739921719747023,0.2670215210232059,0.26692074829794865,0.26681916939088934,0.2667103348476115,0.26625806685665687,0.2661576972223006,0.2660569244970433,0.2659505084991716,0.26557926177932384,0.2654788921449676,0.26537529778340313,0.26526888178553143,0.2649206112470423,0.2648166137945768,0.2647154379784185,0.26460620034423965,0.26417811780734674,0.2640777481729905,0.26397334762962393,0.26373753945252193,0.2636359605454626,0.2635347847293043,0.26342756254963057,0.26293982255938536,0.26283945292502914,0.26273706783616774,0.26209333166722426,0.261992558941967,0.2616749233119561,0.2615741505866988,0.2614697500433323,0.2613593031364503,0.26047089079058217,0.26037052115622594,0.25997387970961333,0.25985899880282004,0.25975822607756277,0.2596562440796024,0.259553858990741,0.25875815755210957,0.25865778791775335,0.25803864029377266,0.2579382706594164,0.2576262783020199,0.2575251024858616,0.2574243297606043,0.25731831685363366,0.25665442613963874,0.2565540565052825,0.25645207450732216,0.2561021916052289,0.2560018219708727,0.25590104924561535,0.2556724967047319,0.25557212707037563,0.2554705481633163,0.2553455899839973,0.254800611085806,0.2546998383605487,0.2545188505459866,0.25441807782072934,0.2543169020045711,0.2538997029220059,0.25379893019674865,0.2535582849288343,0.25345630293087396,0.2530890871200364,0.252985895849373,0.2528831076696106,0.2524074604063962,0.25230628459023796,0.25201928386870526,0.2519177049616459,0.25180040550944643,0.2514424607893326,0.2513416880640753,0.251240109157016,0.25100188243450783,0.25090151280015155,0.25080033698399323,0.25068545607719994,0.2503895873558446,0.25028881463058733,0.250186832632627,0.2497785015498845,0.24967813191552826,0.2495761499175679,0.24946005973807153,0.24935928701281426,0.2492492431968333,0.24871393848026668,0.24861356884591043,0.2482403066715575,0.24813993703720125,0.24803876122104296,0.2479339575867754,0.24731279450828955,0.24721040941942818,0.24710600887606163,0.2468810841532874,0.24677950524622808,0.2466783294300698,0.24656667325048473,0.24615229580422682,0.24605192616987057,0.24593261126316596,0.24539448491029212,0.24529411527593586,0.24518931164166832,0.24489062128400577,0.24479025164964952,0.24468988201529326,0.2442440634787551,0.24414369384439885,0.24404251802824053,0.24342740131327015,0.24332703167891392,0.2432258558627556,0.24312387386479525,0.24249908296820016,0.2423971009702398,0.24228665406335784,0.2418541375265536,0.24175376789219738,0.24142847353506688,0.24132810390071066,0.24122652499365133,0.2408399608195644,0.24073636645799995,0.24063559373274268,0.24014341974258616,0.2400426470173289,0.2399406650193685,0.2395383803001415,0.23943801066578524,0.2393364317587259,0.23878984049693047,0.23868947086257422,0.23858910122821797,0.23835571159652214,0.23825453578036382,0.2381541661460076,0.23782403469806476,0.2377176187001931,0.2374519817964149,0.23735040288935558,0.23724882398229624,0.23687798035334948,0.23677761071899325,0.23635476836381372,0.23625278636585337,0.23615161054969505,0.23591580237259305,0.23581502964733578,0.23571385383117746,0.23561227492411813,0.23513743384270586,0.23503504875384448,0.23491734621074398,0.234640422761737,0.23454005312738074,0.23443968349302452,0.23400958550162648,0.23390921586727023,0.23380804005111192,0.23368670968990218,0.23333158660609554,0.23323081388083827,0.23304055497555254,0.2329401853411963,0.23283981570684004,0.23273783370887968,0.23229120899053946,0.23218882390167805,0.23207797390389506,0.2318167710000282,0.23171640136567198,0.23138909155403636,0.2312887219196801,0.2311875461035218,0.23108516101466042,0.23062402502388313,0.2305236553895269,0.23036201593821423,0.23026164630385798,0.2301608735786007,0.22961992558941968,0.22951955595506343,0.2289439421483939,0.22884236324133456,0.2287323194253536,0.22833285634243378,0.22823248670807753,0.22812123361939352,0.22786527089724004,0.2277649012628838,0.22762059472031537,0.22751941890415708,0.22741743690619673,0.2270248263685944,0.22692445673423814,0.2265124978333864,0.22641212819903017,0.22603201347935972,0.2259316438450035,0.2255426611255104,0.22543906676394593,0.2251891504053079,0.22508878077095165,0.22498357404578306,0.22452284114590682,0.22442206842064955,0.22420077151598458,0.22410040188162833,0.22399680752006385,0.22366183898130867,0.22356146934695242,0.22345182862187252,0.2230789695384206,0.22297537517685614,0.2226633828194596,0.22256301318510338,0.2224497446419142,0.22234131318953737,0.2219358037431021,0.22183503101784482,0.22173103356537932,0.22140735157185296,0.22130254793758541,0.22119371339430755,0.22088897667312957,0.22078497922066406,0.22067936940459443,0.22030731650294458,0.22020694686858833,0.2201065772342321,0.21955192415441607,0.21945155452005982,0.21934675088579225,0.21893197034863332,0.21883160071427707,0.2184647879943406,0.21836361217818231,0.21801413236699008,0.2179133596417328,0.21781258691647554,0.21771141110031722,0.21731799438091284,0.2172176247465566,0.2171164489303983,0.2166537005760169,0.21655333094166065,0.21644933348919515,0.21616394513126655,0.21606156004240518,0.21575682332122717,0.21565363205056373,0.21555285932530646,0.21534365514767234,0.21524247933151405,0.2151421096971578,0.21504133697190053,0.21458020098112326,0.21447902516496495,0.2143786555306087,0.21427828589625247,0.2139199380852376,0.21381956845088135,0.21346081754896545,0.21336044791460923,0.21325967518935196,0.21315567773688646,0.2127171148365668,0.21261513283860645,0.21240351011556616,0.2123031404812099,0.2121838255745053,0.21183757049052132,0.21173437921985788,0.21163320340369957,0.21121640741203548,0.21111603777767923,0.2107842939661323,0.21068352124087503,0.21015063506971457,0.21005026543535832,0.20978019453166882,0.2096798248973126,0.20957905217205533,0.20936742944901504,0.2092670598146588,0.20916467472579742,0.20875473127945082,0.20865436164509457,0.20834720637851042,0.20824683674415417,0.20814445165529277,0.2079158991144093,0.20781552948005305,0.20770064857325976,0.20741526021533116,0.20731247203556874,0.20681908877270913,0.20671871913835288,0.20642285041699754,0.2063224807826413,0.206221304966483,0.20594115679026778,0.2058403840650105,0.20561384697863216,0.2055134773442759,0.20510272771612725,0.20500155189996896,0.2046153908167831,0.20451461809152582,0.20434088591318228,0.20424051627882603,0.20398011955676124,0.20387854064970193,0.2037745431972364,0.20345529520362138,0.203353313205661,0.20325294357130477,0.2029582841226525,0.2028571083064942,0.2027547232176328,0.2024092743154509,0.2023068892265895,0.20220490722862913,0.20167927669368718,0.20157890705933096,0.2014785374249747,0.20137534615431127,0.20102465707041595,0.20092186889065353,0.20052966144395223,0.20042848562779392,0.20014067872445915,0.2000403090901029,0.19993953636484563,0.19955780928157107,0.19945743964721485,0.19935465146745243,0.1990075902016664,0.1989068174764091,0.1985214625750253,0.198420286758867,0.19831951403360973,0.1982098733085298,0.1979160200416796,0.19773946622702887,0.19763909659267262,0.19753751768561328,0.1970929084217782,0.1969917326056199,0.19630526880116736,0.1962044960759101,0.19584534208309315,0.19574497244873693,0.19535478045654076,0.1952527984585804,0.19495934828263123,0.19485857555737393,0.19475780283211666,0.19465219301604705,0.19394960557555335,0.1938492359411971,0.19345944703990198,0.19335827122374366,0.19325709540758537,0.1928419117795254,0.19273992978156504,0.19238561287956046,0.1922848401543032,0.19185635452650926,0.19175598489215304,0.1912803376289387,0.19117674326737422,0.19092602072693413,0.19082524800167686,0.1907232660037165,0.19012386983388624,0.19002350019953,0.1896800667518532,0.1895788909356949,0.1893503383948114,0.18924996876045516,0.1891439558534845,0.18860502331880863,0.188499413502739,0.18839904386838277,0.18829665877952137,0.18797337987689605,0.18768960388257155,0.18758721879371018,0.1874211453424862,0.18731996952632787,0.18721959989197165,0.1866673653575618,0.18656699572320554,0.18622759318453905,0.18612641736838073,0.18601838900690496,0.18566326592309831,0.18556289628874206,0.1854552710181673,0.18476034230479316,0.1846599726704369,0.18441771503891843,0.1843161361318591,0.1842121386793936,0.18373326668897103,0.1836304785092086,0.18348012560312477,0.18337894978696645,0.18327858015261023,0.18257518653031446,0.18247360762325512,0.1823708194434927,0.18226762817282927,0.18187662999883103,0.1817762603644748,0.18152715018763882,0.18142637746238155,0.18123813401160097,0.18113695819544265,0.1810365885610864,0.180933800381324,0.1806871087498942,0.18058552984283485,0.18046500566342716,0.17999621094553034,0.1798958413111741,0.17970517931498733,0.17960480968063108,0.1792488804150224,0.1791477045988641,0.1788917418767106,0.17877605478811526,0.17867286351745182,0.17829919825219787,0.17819842552694057,0.17799043062200956,0.17789006098765334,0.17771310408210156,0.1776127344477453,0.17751155863158702,0.17718948900166476,0.17708791009460542,0.1767589879193657,0.1766509595578899,0.17654776828722646,0.17611122084141195,0.1760108512070557,0.17577625230265678,0.17567507648649847,0.17519821995058105,0.17509785031622482,0.17499465904556136,0.174449277056469,0.17434890742211276,0.17410342506338605,0.17400265233812878,0.17390147652197047,0.1738007037967132,0.17336335016909662,0.1732629805347404,0.17279257345323945,0.1726853512735657,0.17226855528190163,0.17216818564754538,0.1716002305679954,0.17149986093363914,0.17128541657429167,0.17117617894011278,0.17098148603491573,0.1708811164005595,0.17068682658626347,0.17058524767920413,0.17048165331763965,0.17037604350157004,0.17027527077631277,0.16999673496370166,0.1698959622384444,0.16979559260408814,0.16952310315499247,0.1694223304297352,0.16912243079936956,0.1690220611650133,0.16803045754848175,0.1679300879141255,0.16764228101079073,0.16754029901283038,0.1671553472023476,0.16705457447709032,0.166759108846636,0.1666579330304777,0.1660468472245176,0.16594647759016135,0.1656893055953048,0.16558772668824548,0.1652668663310263,0.16516448124216493,0.16506088688060044,0.16440707343913125,0.1642301165335795,0.1641277314447181,0.16400519181080525,0.16353276927479915,0.16343159345864086,0.16288580837864747,0.1627838263806871,0.16247384947779575,0.1623734798434395,0.16193532003402086,0.1618345473087636,0.16173216221990222,0.16153464767839795,0.1614314564077345,0.16133108677337826,0.16091066296360493,0.16081029332924868,0.16070992369489243,0.16045799188174925,0.1603560098837889,0.1601484180697589,0.16004764534450164,0.15993760152852068,0.1596441513525715,0.1595437817182153,0.15937730517609025,0.15927693554173403,0.1590774055457246,0.15897260191145704,0.1588319231869979,0.1587307473708396,0.15846793210336863,0.15836595010540827,0.1580930575654116,0.15799026938564917,0.15778227448071816,0.1576819048463619,0.15731831685363365,0.15721714103747536,0.15709782613077075,0.15699705340551348,0.15689668377115723,0.15679591104589996,0.1563654099636009,0.15626504032924465,0.15611226887775462,0.15601189924339837,0.15547981925403997,0.1553790465287827,0.1552335307135112,0.15513316107915495,0.15489896526565705,0.15479778944949876,0.15469661363334045,0.15458132963564614,0.15413107709919663,0.15403030437393936,0.15373121092537578,0.15362963201831645,0.1533434374785858,0.15323460293530794,0.1530221740304656,0.15269163949162176,0.1525912698572655,0.15234780295304395,0.1522474333186877,0.15208982477638533,0.15198179641490953,0.1518802175078502,0.1514799482431283,0.15137917551787103,0.1512082649758347,0.15110628297787435,0.15070359516774628,0.15060161316978593,0.1504891508083988,0.1500884784527759,0.14998810881841965,0.14975794391393202,0.1496575742795758,0.14937944155786573,0.1492782657417074,0.14902794629216834,0.14892596429420799,0.14870668284404817,0.14859986375527545,0.1484632159398266,0.14836284630547034,0.14815082049152906,0.14804964467537074,0.14790291958739615,0.14780134068033682,0.14761591886586345,0.14734746032577806,0.1472466876005208,0.14686858833535552,0.14676781561009825,0.14666663979393993,0.1465126590697468,0.14641228943539059,0.14615874525864328,0.14595881217173284,0.1458584425373766,0.1455674109068336,0.14546704127247737,0.1452945183668369,0.14519092400527242,0.144963177646191,0.14471567983295913,0.1446141009258998,0.14437385874888647,0.14427348911453022,0.14394497003019152,0.14376357912472842,0.14366280639947115,0.14339152622307857,0.14329115658872232,0.14307913077478102,0.14291870059617146,0.14281792787091416,0.14234147442589778,0.14224070170064051,0.1419827235239819,0.14188114461692256,0.14164090243990923,0.14131963899178904,0.1412192693574328,0.14088792863678687,0.14078755900243065,0.14068275536816308,0.14034698064760584,0.14008094065292664,0.1399805710185704,0.1396468117525183,0.1395428143000528,0.13929571957772197,0.13919454376156368,0.13897647158410692,0.13887569885884965,0.13868624613536598,0.13858426413740563,0.1382763026890194,0.13817593305466316,0.13785587887924605,0.1373274267079969,0.1371428110753256,0.13691587089804622,0.13681469508188793,0.13653857781468298,0.13643820818032676,0.1363281643643458,0.13613508382275286,0.13603471418839663,0.13579205346597711,0.13568845910441263,0.13551029292615777,0.13540992329180154,0.13508422584377003,0.1348468053030639,0.13474603257780662,0.1343312520406477,0.13423088240629144,0.13392614568511346,0.1338257760507572,0.13352184551138127,0.13341825114981679,0.13326265806201956,0.13315825751865304,0.13293978225029526,0.132839412615939,0.13273783370887968,0.13247018135059638,0.13236295917092264,0.13203645554108906,0.13193487663402975,0.13170189009323494,0.13160152045887868,0.1312302737390309,0.13112305155935716,0.13097310174417434,0.1308727321098181,0.1306594970231737,0.13055872429791643,0.13036000048370908,0.13025801848574872,0.12992990249231104,0.1298295328579548,0.12949456431919962,0.1293236537771633,0.12922207487010395,0.12907817141843658,0.12897377087507003,0.12887340124071378,0.12864807342703855,0.12854689761088023,0.12835825106919863,0.12825586598033722,0.12810228834704515,0.1279882136220539,0.12764397399257507,0.12754360435821882,0.12744000999665434,0.12733923727139707,0.12719089981981838,0.12708690236735287,0.1269421927338834,0.12683980764502203,0.126562078014213,0.12646049910715365,0.1263585171091933,0.12610456984154497,0.12595462002636215,0.12585062257389665,0.12540157931015022,0.125301209675794,0.12462321078026306,0.12442489005695674,0.12431686169548095,0.12416570260759503,0.12406049588242644,0.12390208115832202,0.1237992929785596,0.12369005534438071,0.12332324262444423,0.12322126062648388,0.1227186062729006,0.12260695009331554,0.12250617736805827,0.12240580773370202,0.12216516246578767,0.12197006646968958,0.12180721774567382,0.12170684811131759,0.1213537404820161,0.12125337084765986,0.12108931285094102,0.1209063095818738,0.1207898163114764,0.12058020904294127,0.12036536159269277,0.12017349032380292,0.12006989596223844,0.11987479996614037,0.1196051321533519,0.11940116815743118,0.11929999234127288,0.11919921961601561,0.11899001543838152,0.11883966253229766,0.11866230253584485,0.11855991744698346,0.11828984654329398,0.11818746145443258,0.1180504105480827,0.1179492347319244,0.11784886509756816,0.11774849546321191,0.11754493455819222,0.11744456492383597,0.1172619647456698,0.1171567580205012,0.11691570966168581,0.11677382166452356,0.11661984094033045,0.11642756658053957,0.11625544676580016,0.11603495604293725,0.11593297404497688,0.1158209147744908,0.11572014204923352,0.11556535514323835,0.11540452187372774,0.11530173369396532,0.11514251278805883,0.11504214315370259,0.11494096733754429,0.11478335879524192,0.11462252552573131,0.11439679462115501,0.11427143335093497,0.11411261553592951,0.11401224590157326,0.11377280990636199,0.11364865790884503,0.11349346791194882,0.1133906797321864,0.11326894628007562,0.11316494882761012,0.11297589919502747,0.1127795939262263,0.112678418110068,0.11246357065981949,0.11236158866185914,0.11217898848369295,0.1120229923049947,0.11188150739873348,0.11177992849167416,0.11157435213214932,0.11147277322508999,0.1113413655913545,0.11116521486760479,0.11106121741513929,0.1109491581446532,0.11067989342276577,0.11052147869866133,0.11041989979160201,0.11029534470318401,0.11019457197792674,0.11004059125373362,0.1097838223497781,0.10968184035181774,0.1095814707174615,0.1094097539936231,0.10930777199566274,0.10919168181616637,0.10909090909090909,0.10899053945655285,0.1088901698221966,0.10869789546240573,0.10859631655534639,0.1084439481947574,0.10833753219688572,0.10798684311299041,0.1074116323972219,0.10730441021754816,0.10705771858611836,0.10681667022730296,0.10659255168633078,0.10648573259755807,0.10610440860518455,0.10585932933735887,0.10571945679470178,0.10561666861493936,0.10550178770814607,0.1053611089836869,0.1052571115312214,0.1048245949944172,0.10467666063373951,0.10457467863577916,0.1044743090014229,0.10437353627616563,0.10411313955410084,0.1040127699197446,0.10388176537691014,0.10378058956075184,0.10337588629611864,0.1031703099365938,0.10297037684968337,0.10281478376188614,0.10264024540174055,0.1025370541310771,0.10231132322650081,0.10219765159241061,0.10204770177722779,0.10194733214287154,0.10184615632671323,0.101745786692357,0.101621231603939,0.10151763724237453,0.10141726760801828,0.10125159724769532,0.10115122761333908,0.1010169983432964,0.10065058871426096,0.10047040708150094,0.1003643941745303,0.10002982872667615,0.09992220345610138,0.09977265673181959,0.09967228709746336,0.0995622432814824,0.09942761092053869,0.09932562892257833,0.0990370158374415,0.09893503383948114,0.09880201384214155,0.09866778457209885,0.09854484184728499,0.09835297057839514,0.09817964149095262,0.09807927185659639,0.09783338640696863,0.09773261368171136,0.09751051059524433,0.09741014096088808,0.09728195805436084,0.09697077187876638,0.09686677442630087,0.09676640479194464,0.09666401970308325,0.09655437897800333,0.09645400934364709,0.0963101058919797,0.09613637371363616,0.09603560098837889,0.09593442517222059,0.09582679990164582,0.09560953390599114,0.0955091642716349,0.09540758536457557,0.09526690664011642,0.09516371536945296,0.09495692973722504,0.0948565601028688,0.09475457810490844,0.09453973065465993,0.09441477247534091,0.09425353611492927,0.09415155411696892,0.09405118448261267,0.09382505048713535,0.09365373685419799,0.09355296412894072,0.09344977285827727,0.09332723322436443,0.09322605740820612,0.09312568777384989,0.09264600960162526,0.09243761160579322,0.0922433217914972,0.09213287488461523,0.09203250525025898,0.09185917616281648,0.09175880652846023,0.09162094944030828,0.09151977362414998,0.0914173885352886,0.09118198344908761,0.09108161381473136,0.090938113453965,0.09077808636625645,0.09064264782351068,0.09041046746451792,0.09030969473926065,0.09004405783548249,0.08991829347436141,0.08980865274928149,0.0896716018429316,0.08957123220857535,0.089427731847809,0.08930922312290644,0.0892088534885502,0.08906212840057562,0.08888839622223207,0.08878560804246965,0.08861792222764156,0.08851755259328531,0.08841718295892907,0.08825433423491331,0.0880781835111636,0.08797741078590633,0.08787421951524288,0.08777344678998561,0.08766461224670775,0.08743646279672529,0.0873284344352495,0.08722685552819016,0.08711882716671436,0.08686729844447222,0.08676692881011597,0.08662786244926093,0.08643397572586595,0.08620864791219068,0.08609860409620973,0.0859748551895938,0.08581523119278628,0.08571445846752901,0.08560280228794395,0.08539843520112221,0.08529806556676596,0.08509893866165759,0.08492560957421508,0.08472285485099745,0.08458177303563727,0.08442053667522563,0.08423068086084093,0.0840210735923058,0.08389571232208576,0.08377317268817291,0.08367280305381666,0.08357243341946043,0.083469645239698,0.08331324597009872,0.08310484797426668,0.08300367215810837,0.08287145834257083,0.08265016143790586,0.08248973125929629,0.08238936162494004,0.08227286835454263,0.08214831326612465,0.08204270345005502,0.08194193072479775,0.08184115799954048,0.0817403852742832,0.08161784564037036,0.08151505746060794,0.0813953394630023,0.08128247401071416,0.0811764611037435,0.0810752852875852,0.08092856019961062,0.08082657820165025,0.08070726329494564,0.08045331602729731,0.08031384657554125,0.0801941285779356,0.0800929527617773,0.07996154512804182,0.07983215294881149,0.07970719476949246,0.07959352313540226,0.07947702986500486,0.07933232023153541,0.07923154750627814,0.07913077478102087,0.07902959896486257,0.0788719904225602,0.07877121769730291,0.07867004188114461,0.07855113006534103,0.07841085443178292,0.07830161679760403,0.0781141795286255,0.07801380989426926,0.07787917753332554,0.0777788078989693,0.07767843826461306,0.07757444081214755,0.07746036608715631,0.07735959336189904,0.07719472918337815,0.07705203500441385,0.07693191391590717,0.07679244446415111,0.07667071101204033,0.07653769101470073,0.07635388156383147,0.07623658211163199,0.07597860393497338,0.0758778312097161,0.07577746157535986,0.07567588266830053,0.07553802558014858,0.07543765594579234,0.07533728631143609,0.07517443758742035,0.07503738668107045,0.07489590177480923,0.07475320759584494,0.07462260614391152,0.0743827670577992,0.07428078505983884,0.07406029433697593,0.07393977015756824,0.07381279652374408,0.07358908107367293,0.07348871143931668,0.07333593998782666,0.0732355703534704,0.07312068944667711,0.07301709508511264,0.07274783036322521,0.07263939891084839,0.07253902927649214,0.07231652309912408,0.07218350310178448,0.07208232728562618,0.07197228346964524,0.07181991510905625,0.07171148365667941,0.07161030784052111,0.07147728784318151,0.07137691820882527,0.07127654857446902,0.0711749696674097,0.07107460003305345,0.07088232567326258,0.07075696440304254,0.0705751704066784,0.07040143822833488,0.07029905313947349,0.07019787732331519,0.070056795507955,0.06995521660089567,0.06985484696653943,0.06975447733218318,0.06936751006719526,0.06920063043416921,0.06909542370900061,0.06887170825892946,0.06875763353393824,0.06860728062785439,0.06843475772221394,0.06833438808785769,0.06820983299943971,0.06809172736543818,0.06792968482322448,0.0678204471890456,0.06763542846547325,0.06753465574021597,0.06743347992405767,0.06729602592680675,0.06710052683980765,0.06699532011463905,0.0668893072076684,0.06676636448285453,0.06659948484982849,0.06642414030788082,0.06632336758262355,0.06622299794826732,0.06610650467786991,0.06592511377240681,0.06574291668514166,0.06564254705078543,0.06554217741642918,0.06535151542024242,0.06525114578588617,0.06515077615152993,0.06505040651717368,0.06484644252125296,0.06470777925129896,0.06457354998125628,0.064472777255999,0.06432685834982647,0.06420310944321053,0.06410233671795326,0.06395359617547353,0.06383307199606583,0.06372262508918386,0.06362144927302556,0.06352107963866932,0.06342030691341205,0.06331872800635271,0.06315386382783181,0.06303817673923647,0.06293498546857301,0.06279067892600461,0.0626588682013681,0.0625399563855645,0.06237428602524155,0.06224650620961533,0.06214613657525909,0.06204536385000181,0.061932901488614696,0.06179826912767098,0.06166283058492521,0.06156246095056896,0.06146209131621272,0.06135406295473692,0.0612262831391107,0.061125510413853425,0.06099289350741486,0.060865516782689665,0.060736930785261385,0.060607135515130015,0.06050676588077377,0.060406396246417526,0.06030602661206129,0.06020525388680401,0.06010488425244777,0.060004514618091524,0.05990414498373528,0.05977757444081215,0.05967720480645591,0.05949258917378458,0.05939221953942834,0.05929144681417106,0.05909756009077607,0.05895083500280148,0.05879806355131146,0.05861062628233293,0.05843770028579145,0.058337330651435204,0.05823696101707896,0.05813578520092066,0.058022516657731484,0.05792214702337524,0.057815327934602534,0.05771455520934526,0.057613379393186955,0.0575113973952266,0.05740699685186006,0.057306224126602794,0.05720545140134552,0.05710508176698927,0.05700108431452377,0.05689829613476135,0.05677857813715571,0.05667699923009638,0.05657542032303705,0.056475050688680806,0.05637347178162147,0.05627310214726523,0.056172329422007956,0.05607075051494863,0.05596997778969135,0.05583736088325278,0.055726913976370814,0.05562573816021251,0.05552536852585627,0.05540000725563622,0.05529681598497277,0.055152912533305384,0.05500014108181536,0.05489977144745912,0.054798595631300816,0.05469822599694457,0.05459785636258833,0.05448700636480533,0.05438341200324085,0.05428263927798358,0.054181060370924246,0.054080690736568,0.05398032110221176,0.05387793601335037,0.05375579947033855,0.05363366292732674,0.05353248711116844,0.05343050511320808,0.05325395129855734,0.053153581664201095,0.05304998730263662,0.05294961766828037,0.05284924803392413,0.05274363821785451,0.052643268583498264,0.052497349677325736,0.05231233095375338,0.052211961319397135,0.05211078550323883,0.05193100696137986,0.05182942805432053,0.051728655329063254,0.05160772805875453,0.051498490424575646,0.051397717699318377,0.051296541883160074,0.051126034432024764,0.05098898352567487,0.05088861389131863,0.05077413607542637,0.05067296025926807,0.05056654426139639,0.050466174627040145,0.05036096790187155,0.050260598267515305,0.050156197724148775,0.05005582808979253,0.04995545845543629,0.04985387954837695,0.04968095355183547,0.04957977773567717,0.0494346650113067,0.04933429537695046,0.04923392574259421,0.04909405319993712,0.04897272283872736,0.04886993465896494,0.0487695650246087,0.048668389208450395,0.04856801957409415,0.04845958812171733,0.04835881539646006,0.04822660158092251,0.048125022673863184,0.048022234494100764,0.04791299685992188,0.04781262722556564,0.047712257591209395,0.047547393412688495,0.04744702377833225,0.04734665414397601,0.047244672146015645,0.04712334178480589,0.04702015051414245,0.0469044634255471,0.04680248142758674,0.04669848397512123,0.04659811434076499,0.046494923070101536,0.04637318961799075,0.04624823143867173,0.046147861804315495,0.04601605107967898,0.04591366599081759,0.045800800538529446,0.04569357835885571,0.0455895809063902,0.04548880818113293,0.04536223763820979,0.04522558982276093,0.04507080291676576,0.044927705646900434,0.04478622074063922,0.04468585110628298,0.04452380856406928,0.04442263274791098,0.04432186002265371,0.044221490388297466,0.04406912202770847,0.043968752393352226,0.0438506467593507,0.04364426421802381,0.043480609312205994,0.043379836586948724,0.04323875477158854,0.04313596659182612,0.04299004768565359,0.042829214416142986,0.04256962387588025,0.04246925424152401,0.042368078425365704,0.04226770879100946,0.04212622388474825,0.04199844406912203,0.041898074434765786,0.04178641825518072,0.0416558168032473,0.041554640987089,0.041453465170930695,0.041347855354861074,0.04123095899356264,0.04112736463199816,0.04102699499764192,0.04092622227238465,0.04082182172901811,0.04063639991454473,0.04053401482568334,0.0404336451913271,0.04033327555697085,0.04021033283215698,0.04010875392509765,0.04000193483632494,0.0399015652019687,0.03980079247671142,0.03969115175163151,0.039561356481500144,0.0394609868471439,0.03935940794008457,0.03923606212436967,0.03913528939911239,0.03902887340124071,0.03892850376688447,0.038827327950726166,0.038709625407625674,0.03860844959146737,0.03850807995711113,0.03840730723185386,0.03830008505218012,0.038175529963762125,0.03807072632949456,0.03797035669513832,0.03786958396988105,0.03776881124462377,0.037668441610267535,0.03754025870374028,0.03743988906938404,0.037310899981054725,0.03720972416489642,0.037109354530540185,0.03685339180838671,0.036720371811047106,0.036619599085789836,0.0364708585433101,0.036354768363813725,0.03625359254765542,0.03615322291329918,0.036045597642724414,0.03594240637206096,0.03583155637427796,0.03570982292216718,0.035609453287810934,0.03549416929011662,0.03539379965576037,0.03529181765780001,0.035188626387136566,0.03508503202557209,0.034958058391747926,0.03485688257558962,0.03475651294123338,0.0346557402159761,0.03453723149107355,0.03443686185671731,0.03433608913146004,0.03423531640620276,0.03413373749914343,0.033991446411080165,0.03389107677672392,0.033790707142367676,0.03363430787276839,0.03353353514751112,0.03342953769504561,0.03331828460636158,0.033197357336052856,0.033094569156290436,0.032951874977326136,0.03284787752486063,0.03274750789050439,0.032645122801643,0.03254475316728676,0.03244438353293051,0.032343610807673236,0.032242838082415966,0.03214246844805972,0.03203323081388084,0.031932861179524596,0.03183249154516835,0.031731718819911076,0.03163134918555483,0.0315297702784955,0.03142940064413926,0.031329031009783015,0.031221808830109277,0.031120633013950978,0.031020263379594733,0.03091949065433746,0.030818717929080187,0.030718348294723943,0.030555902661609218,0.03042247957336859,0.030322109939012347,0.030221740304656103,0.03012096757939883,0.02999157540016849,0.02987306667526594,0.02967273049745448,0.02948650250117904,0.029386132866822796,0.029261980869305836,0.02910920941781581,0.02900883978345957,0.028880656876932316,0.02876779142464417,0.028667421790287927,0.028566649065030654,0.02846587633977338,0.02835139852388112,0.028236920707988857,0.02811357489227396,0.028011592894313597,0.027910417078155295,0.02781004744379905,0.027709677809442806,0.02760769581148245,0.027506116904423117,0.02739405763393703,0.02729207563597667,0.027191706001620426,0.02709133636726418,0.026974440005965744,0.026872458008005386,0.026772088373649142,0.026669300193886723,0.026567721286827394,0.02646654547066909,0.026366175836312847,0.026265806201956603,0.026153343840569488,0.026034028933864875,0.025932046935904517,0.025830871119746215,0.025726873667280707,0.025625697851122408,0.025524925125865135,0.025423346218805803,0.02532297658444956,0.025220188404687142,0.025110950770508258,0.025010581136152014,0.02491021150179577,0.024809438776538496,0.024481725874001846,0.024379340785140455,0.024278971150784215,0.02417860151642797,0.024069363882249086,0.023965366429783582,0.023785184797023576,0.02368199352636013,0.023581220801102858,0.023479238803142496,0.023378869168786252,0.023246252262347684,0.023075744811212377,0.02297174735874687,0.02282582845257434,0.02272505572731707,0.022623476820257737,0.022523107185901493,0.02242233446064422,0.022321561735386946,0.02217806137462059,0.02207648246756126,0.021976112833205014,0.021875743198848774,0.0217749704735915,0.021666539021214674,0.0215657662959574,0.02146378429799704,0.0213634146636408,0.02126022339297735,0.02115824139501699,0.02105706557885869,0.020956695944502446,0.020853504673838997,0.020753135039482753,0.02065276540512651,0.02055158958896821,0.020450816863710936,0.020349641047552634,0.02024886832229536,0.020147692506137058,0.02004651668997876,0.01994251923751325,0.019841746512255978,0.01973936142339459,0.019638991789038347,0.019538622154682102,0.01943704324762277,0.019325790158938743,0.01922421125187941,0.01911376434499744,0.019002108165412382,0.01890093234925408,0.018800159623996806,0.018692131262521013,0.018584505991946245,0.01848413635759,0.018378929632421406,0.018259614725716796,0.018154408000548204,0.018042751820963144,0.017906507096415312,0.01780533128025701,0.01770334928229665,0.017600158011633203,0.01749978837727696,0.017399418742920714,0.017288165654236687,0.01714869620248062,0.01702978438667704,0.016928608570518738,0.016819774027240882,0.01671900130198361,0.016561392759681236,0.016459410761720875,0.016354607127453312,0.016236098402550758,0.016135728768194517,0.016034956042937244,0.015934586408581,0.015834216774224755,0.015722963685540728,0.015620981687580367,0.015520612053224123,0.015419033146164792,0.015318260420907519,0.015217890786551275,0.015117521152195031,0.015017151517838789,0.014909526247264021,0.014792629885965584,0.01469226025160934,0.014591084435451039,0.01447459116505363,0.014374221530697388,0.014273045714539086,0.014160986444052998,0.013997734629136217,0.013896155722076885,0.013794173724116525,0.013693400998859252,0.013591015909997863,0.0134862122757303,0.013381005550561707,0.013280635916205463,0.01318026628184922,0.013071028647670336,0.012970659013314092,0.012823530834438475,0.012721951927379143,0.012598203020763213,0.012497833386406969,0.012397060661149695,0.012290241572376986,0.012189065756218686,0.01204879012266056,0.011946405033799172,0.011846035399442928,0.011730751401748608,0.011630381767392365,0.011529609042135092,0.011429239407778848,0.011328869773422604,0.011222050684649895,0.011121277959392623,0.01102090832503638,0.010920538690680135,0.010812913420105368,0.01071012524034295,0.010605321606075385,0.010504951971719143,0.010395714337540258,0.010294538521381957,0.010193362705223655,0.010089768343659178,0.009972065800558684,0.009857184893765393,0.00975641216850812,0.00965443017054776,0.009551641990785342,0.009332360540625516,0.009231990906269272,0.009129605817407883,0.00902923618305164,0.008928866548695397,0.008828093823438124,0.008716034552952036,0.008614858736793735,0.008514086011536462,0.008411297831774044,0.008303672561199276,0.00819483801792142,0.00808882511095077,0.007988052385693497,0.007887682751337255,0.007776832753554254,0.0076764631191980105,0.007493056759229774,0.007385431488655007,0.007284255672496705,0.007181064401833258,0.007080694767477014,0.00698032513312077,0.006879955498764526,0.006779585864408283,0.006679216230052039,0.0065784435047947665,0.006477670779537493,0.00637730114518125,0.006276931510825006,0.006156407331417308,0.006049991333545628,0.005949621699189384,0.005848445883031082,0.00574727006687278,0.005646900432516537,0.005546530798160293,0.005444548800199933,0.00534417916584369,0.0052438095314874455,0.005143036806230173,0.005041054808269813,0.0049406851739135695,0.0048403155395573254,0.004728659359972267,0.004628289725616024,0.00452792009125978,0.004427147366002507,0.004326374640745235,0.004226005006388991,0.004125635372032747,0.004024862646775474,0.003922880648815115,0.0038225110144588705,0.0037201259255974814,0.0036173377458350634,0.003515355747874703,0.003413776840815372,0.0033134072064591284,0.0032122313903008267,0.003111458665043554,0.00301108903068731,0.0029107193963310665,0.002809946671073794,0.0027095770367175503,0.0026063857660541027,0.0025035975862916847,0.0024028248610344118,0.00230164904487611,0.0022012794105198664,0.0021009097761636227,0.002000540141807379,0.001899364325649077,0.0017989946912928335,0.0016982219660355608,0.0015966430589762297,0.001496273424619986,0.0013959037902637425,0.0012951310650064695,0.0011943583397491968,0.0010927794326898658,0.0009920067074325931,0.0008916370730763495,0.0007900581660170185,0.0006832390772443093,0.0005812570792839494,0.0004796781722246184,0.0003780992651652874,0.0002708770854915492,0.00016970126933324735,6.933163497700367e-05],\\\"y\\\":[0.9006287880090139,0.9016744172642058,0.9020169598430163,0.9023714870234929,0.9026756724255421,0.9029002761652212,0.9032002349267378,0.9034355553450846,0.9036739917931069,0.903935802974896,0.9042028718807532,0.9043997098076572,0.9045584131490847,0.9047947505696067,0.9050050472518528,0.905275643763134,0.9055950208852377,0.9059500379721082,0.9063536373732467,0.9066307963311276,0.9069201106107394,0.9072208099596933,0.9074624117530199,0.9076275714937151,0.9078041606567842,0.9080506227608417,0.908279241126843,0.9084522109394496,0.9086947673277722,0.9088999832033787,0.909099448200528,0.9092449124228005,0.9094074015559837,0.9095532161467831,0.9097081428651335,0.9099232902284344,0.9100640235815731,0.9102181249779409,0.9103859091246648,0.9105390808773536,0.9107518751806962,0.9108941092274405,0.9110619954414519,0.9112288698708356,0.9114414171584871,0.9115621721414804,0.9116948524491877,0.9118140663466385,0.9119672899040909,0.9121513825015174,0.9123059056163377,0.9124313633007037,0.9125636329932104,0.9126875229991128,0.9128349156010647,0.9129580151193356,0.9131204545677006,0.9132915575355544,0.9134508341222944,0.9135792491253593,0.9137019920735145,0.9138200146528763,0.9139052072534416,0.914025502101478,0.9141415132122044,0.9142818017193102,0.9143781175893368,0.9144904166204882,0.9145852899501615,0.9147524710748096,0.914896159775977,0.9150253162069575,0.9151552873876216,0.9152785764723422,0.9154123232379513,0.9155057244283665,0.9156100140176573,0.9157395385220258,0.915880020520669,0.9160287745703484,0.9161164087764458,0.9162393884949658,0.9163902992895522,0.9164942531803257,0.9165839497234304,0.9167418416642019,0.9168402986785614,0.916965931853844,0.9171131172611119,0.9171981514977449,0.9173039694900741,0.9174377634114886,0.917531605855184,0.9176458822323769,0.9177398114876684,0.9178522989201462,0.9179807178679525,0.9180785665705878,0.9181972660177277,0.9183276546304543,0.9184313282534385,0.9185501312271023,0.9186704402225199,0.9187738856656303,0.918881169088927,0.9190025353883338,0.9190753950562243,0.9191839572762186,0.9193020611646383,0.9194080679921232,0.9195369195431176,0.919647971671093,0.9197514711444853,0.9198348593885993,0.919960098331475,0.9200747092915027,0.9201808506368543,0.9203002048243183,0.9204001518411149,0.9205081469802014,0.9206150479421645,0.9206964443345342,0.9207774919446289,0.9208593680717344,0.9209514197309547,0.9210513114652832,0.9211779863825855,0.9212634546078208,0.92135545575005,0.921435228254438,0.9215448971519808,0.9216481124701055,0.9217322053913016,0.9218171307351699,0.9219042911350603,0.9220080569571026,0.9221298803628512,0.9222187952816848,0.9222931117345471,0.9223782609563476,0.9224818292416633,0.9225623836994283,0.9226629983177025,0.9227586648920275,0.9228620562042426,0.9229497377904448,0.9230389933712393,0.9231598183635138,0.9232503122768335,0.9233462313432058,0.9234275334258953,0.923517338590825,0.9236010511558628,0.9236874944737048,0.9237838976598856,0.9238996182817505,0.9239850236285606,0.9240635206347723,0.9241613414361735,0.9242337303953749,0.9243370337557554,0.9244032123903381,0.9244585678529494,0.924524469553639,0.9246325558063707,0.9246981617310426,0.9247748808278715,0.9248625245786855,0.9249544614401146,0.9249413457156952,0.925034946889099,0.925101092553058,0.9251630017697514,0.925220252649334,0.9252938313632887,0.9253251867006472,0.9254092790303835,0.9254646438233549,0.9255173749203144,0.9255749806645526,0.9256372640067687,0.9257229245340384,0.9258167132816681,0.925888976104762,0.9259622768184965,0.9260096602381191,0.9260932731051396,0.926157353469069,0.9262184388395437,0.9262853506876414,0.9263667476444946,0.9264411397186417,0.9265140340481683,0.9266137994925693,0.9266749768247489,0.9267097710634301,0.9267888842580541,0.9268265803877922,0.9268980691683267,0.9269554818628954,0.9270178944262938,0.9270578499595072,0.9271274815443199,0.9272108044330414,0.9272812731378725,0.9273638174257078,0.9274315768451469,0.9275056458759926,0.9275621502192992,0.9276276683914234,0.9276763913583719,0.9277321725723838,0.9277895384163756,0.9278496642664505,0.9279207132064629,0.927979257337392,0.928042553155567,0.9280886629134175,0.9281634517822225,0.9282131261634723,0.928250270638538,0.9283143946594883,0.928371572231377,0.9284464262093337,0.9284848100597031,0.9285463653850219,0.9285906669107751,0.9286286994059298,0.9287075343250856,0.9287613142749811,0.9288045018934186,0.9288598885927074,0.9289043179112242,0.928950575657094,0.9290046251996321,0.9290628082087653,0.9291066380067979,0.9291428174445834,0.929210926255697,0.9292487090324927,0.9293306467541076,0.9293669156116391,0.9294377824538672,0.9294799923331224,0.9295498125120083,0.9296050083547522,0.9296468127443556,0.9297014606788777,0.9297879474707346,0.9298417059486775,0.9298852175448935,0.9299153167828361,0.9299753235335341,0.930039816672536,0.9300721762139692,0.9301396035076804,0.9301907185319522,0.9302628094248018,0.9303119859421589,0.9303584094655071,0.9304084095987697,0.9304433567105839,0.930488240699772,0.930534208873525,0.9305822906128988,0.930614088219182,0.9306720444183901,0.9307158133987692,0.9307825278169225,0.9308294721633712,0.9308812202428626,0.9309444891131271,0.9310093680827181,0.9310443008974411,0.9311057081722364,0.9311539760400606,0.9311965828368237,0.9312560035351545,0.9312927990880904,0.9313439573525942,0.9313720051345428,0.9314334834877132,0.9314925980979344,0.9315501427355178,0.9316013422738543,0.9316402237528792,0.9317048414753655,0.9317499760736112,0.9318036331625437,0.9318695972731256,0.9319081267553253,0.931951080299367,0.9320004241955678,0.9320442038571239,0.9320768049851635,0.932134306724235,0.9321745396289647,0.9322478993844414,0.9322915819491018,0.9323246468191569,0.9323561537437214,0.9324019575934688,0.9324510584129503,0.932493697375495,0.9325296156319637,0.932567571910654,0.9326026265329371,0.9326457452540605,0.9326853368648454,0.9327565373027832,0.9328020167329133,0.9328212468425312,0.932860289874968,0.9328729794981788,0.9329183041680006,0.9329435678392822,0.9329975282525286,0.9330508238072237,0.9330973259800038,0.9331197402524893,0.9331690164440026,0.9331962872983243,0.9332167494140369,0.9332749737532301,0.9332778608480156,0.9333080288883339,0.9333277730510602,0.933374470024682,0.9334195194307933,0.9334690002757213,0.9335164896623941,0.9335455170137779,0.9335701049765078,0.9336308934551121,0.9336428707949425,0.9336737439644205,0.9337188983708434,0.9337781429971764,0.9338152849862569,0.933855226209586,0.9338625866050808,0.9339077500141133,0.9339227668031208,0.9339917077414243,0.9339885127301216,0.9340301600806937,0.9340911590592954,0.9341175780358566,0.9341574279618328,0.9341777865618789,0.9342189255411117,0.9342238452589844,0.9342623504986222,0.9342794138538072,0.9343129557701593,0.9343457859155611,0.9343719693549816,0.93438342096065,0.9344433871680058,0.9344989320219663,0.9345198566695029,0.9345746341522476,0.9345775881045599,0.9346178101780602,0.9346095512155534,0.9346420781967341,0.9346556623552071,0.9347056282789358,0.934723505745012,0.9347774606350772,0.9347890469464826,0.9348342078835539,0.9348195969172766,0.9348684549702997,0.934880042982612,0.9349236588291581,0.9349389224837381,0.9349675858795378,0.9350161002983335,0.9350020038619885,0.9350391941662075,0.9350572438604072,0.935089973456431,0.9351101490020167,0.9351599612467706,0.9351777324535926,0.9352129542828584,0.9352213815906609,0.9352610882026683,0.9352771305403954,0.9353172639500688,0.9353378172570084,0.9353624511082138,0.9354115620488974,0.9354174708998021,0.9354702660774319,0.9354704608507345,0.9355013095187356,0.9355189830464233,0.935541220359691,0.9355620536687671,0.9355875633153408,0.9355868882232306,0.9355896812529061,0.935611945601739,0.9356062767350768,0.9356563249150409,0.9356664099016043,0.935715147899651,0.9357595562873672,0.9357708746074194,0.9357953150878306,0.9358002455282673,0.9358455194409235,0.935856563277058,0.9358945103735218,0.9358899954007661,0.9359454663371859,0.9359463258339663,0.9359940623669762,0.9360013694030128,0.9360475527041014,0.9360790031651237,0.9361059247066617,0.9361427175454022,0.9361512968967317,0.9361885922250517,0.9361848925484113,0.9362156077842138,0.9362307444025265,0.9362219021320021,0.9362657429297905,0.936278406940484,0.9363142060062359,0.9363184724136437,0.9363643765529052,0.9363627925873778,0.9364017755062631,0.9364109220810446,0.9364515373109159,0.9364716808382945,0.9364949922701825,0.9365250009532229,0.9365328320929446,0.93659260961026,0.9366341487585765,0.9366515122605944,0.9366926124491499,0.9366959705127581,0.9367400223797091,0.9367532538208476,0.9367997675329167,0.9368154783332484,0.9368353066491508,0.9368485026264088,0.936901642526675,0.9368882820764233,0.936925806386417,0.936935345524597,0.936973711505128,0.9369709245005774,0.9370433319206481,0.9370368709227492,0.9370695368534284,0.9370864670169854,0.9371207988738343,0.9371481317876798,0.9371524598264791,0.9372036167829644,0.9372317162063659,0.937260593958108,0.9372854915570358,0.9373189814653754,0.9373105615174634,0.9373642420571554,0.9373817360606604,0.9374111855628539,0.9374105142086581,0.9374495064691221,0.9374649556192672,0.9374867737930646,0.937502287351289,0.9375454512980383,0.937538592362329,0.9375622804606868,0.9375938622265753,0.9376378931167286,0.9376707652534111,0.9376970251247587,0.9377314635982174,0.9377486315057013,0.9377562798781602,0.9377778739570135,0.9378294368879204,0.9378331989529374,0.9378736005995284,0.9378825141139947,0.9378991139052523,0.9378976161596159,0.9379488319923178,0.937951327194915,0.9379975108425188,0.9379972423165072,0.9380393819025177,0.9380301147667495,0.9380896004602839,0.938104784361357,0.9381345082157359,0.9381280017782083,0.9381610622698294,0.9381610972204074,0.9382053133569306,0.9382009502637972,0.9382498457764006,0.9382498578242748,0.9382806740191243,0.9382900574361502,0.9383114824250406,0.9382912985713874,0.938332743989469,0.9383779778082976,0.9384100969556993,0.9383984621258535,0.9384304019594,0.9384648520941304,0.9385068161911412,0.9385150229730191,0.9384851006033713,0.9385492119727685,0.9385720351133805,0.938600290268534,0.9386051786051786,0.9385745450209364,0.9385994813091515,0.9386269313020587,0.9386568963306934,0.9386600060995834,0.9386842800151933,0.9387004457080559,0.9387329498862621,0.9387486813782092,0.9387347252324189,0.9387639049881701,0.9387980874875922,0.9388444452369754,0.9388455817835513,0.9388270281794041,0.9388692317849127,0.9389072602448814,0.938933988611756,0.938937204793985,0.9389093422318026,0.9389385514025995,0.9389711786757751,0.93899078655329,0.9390006973416586,0.9389839612098376,0.939022046631777,0.9390618504628616,0.9390793888939059,0.9390616761896073,0.9390868097827497,0.9391350286941511,0.9391677441580579,0.9391663750757316,0.9391479141415136,0.9391840138738861,0.9392201249526525,0.9392436295571532,0.9392236679052689,0.9392627051887193,0.93931233342431,0.9393493471508164,0.9393522079906182,0.9393250898431597,0.9393456726551132,0.939390309609593,0.9394075631515211,0.9394399980254758,0.9394236341510165,0.9394585896897145,0.9394905488221051,0.9395369182735663,0.9395122516728885,0.9395463844137728,0.9395982113961466,0.9396404221209808,0.9396216010528674,0.9396549940213719,0.939704859408225,0.9397244998566744,0.9397077146900692,0.9397233779903531,0.9397639023784019,0.939804548525107,0.9398117662319646,0.9397794347610168,0.9398024785729996,0.9398261970253888,0.9398375259289916,0.9398638259497238,0.9398148085459785,0.9398334170717031,0.9398610232592578,0.9398877617094755,0.9398954066540517,0.9398735749853399,0.9399096756411154,0.9399411423375675,0.9399619974309396,0.9399662870608402,0.9399592033440237,0.9398089669941194,0.9398447196240924,0.9398660233806247,0.9398870606756409,0.939905420284755,0.9398722230288951,0.9399007217595249,0.9399404033778984,0.939959216210376,0.9399630702622992,0.9399423922215874,0.9399834198303372,0.9400206172171481,0.940056545027909,0.9400589698633822,0.9400416399598147,0.940065624333652,0.940099447739917,0.9401307163384508,0.9401292224140166,0.9400563423384529,0.9400769192930422,0.9401108515029913,0.9401379140668248,0.9401610281596502,0.9401593714466707,0.9401195010543674,0.9401598686386079,0.9402148326301806,0.9402586345352207,0.9402628113218051,0.9402318090953838,0.9402726198283248,0.9403263562970322,0.9403459017644106,0.9403036862472599,0.9403385930925253,0.9403644531716224,0.9403929288180121,0.9403766795954009,0.940404742543271,0.9404272185211019,0.9404634768776535,0.9404802890487798,0.9404537091448559,0.9404719040800078,0.9405193509235965,0.940527026525453,0.9405327125075618,0.9405073912405546,0.9405407091017317,0.9405770572346807,0.9405883640056752,0.9405663433836507,0.9406048794996025,0.9406291787606378,0.9406465753525285,0.9406416491073565,0.9405932040213577,0.940621827242021,0.9406530536068817,0.9406830194977005,0.9406887444259191,0.9406689382872324,0.9407093113445467,0.940737577896957,0.9407549755484964,0.9407658561550527,0.9407310733818038,0.940765871679808,0.9408130040851976,0.940844359197522,0.940848164914402,0.9408125457041974,0.9408334340163484,0.9408752121614641,0.9409061805755449,0.9409059536947159,0.9408975444538527,0.9409181091395098,0.9409564868195729,0.9409850202758101,0.9409938490434667,0.9409755331337547,0.940992655212692,0.9410261706938693,0.941064535973928,0.9410716184295072,0.9410591941794347,0.9410963604480814,0.941122139808902,0.9411505935315195,0.941150454146116,0.9411273302849104,0.941183277962604,0.9412230951928998,0.9412493598357475,0.9412447646233956,0.9412008707617683,0.9412572922533498,0.9412928136016928,0.9413091682022585,0.9413114764741809,0.941295851743613,0.9413331242434604,0.9413560210760282,0.9413832119566126,0.9413899827519304,0.9413582755329747,0.9413724808959621,0.941416374110893,0.94144232046961,0.9414520417827272,0.9414389247619703,0.9414785382256258,0.9414984654168993,0.9415231872769336,0.9415259672460213,0.9414915993760494,0.9415091942248288,0.9415422972418779,0.9415613558741261,0.9415644463152248,0.9415339590619382,0.9415674549091473,0.9415913350725076,0.9416144841681368,0.9416164587261595,0.9415904565147438,0.9416218818127627,0.9416442863947073,0.9416779266248866,0.9416746110295288,0.9416370864489451,0.941663253645317,0.941685497483879,0.941703103686679,0.9417134805213251,0.9416802661589315,0.9417368780332713,0.9417825002852585,0.9418131611662437,0.9418129377138869,0.9418030094453423,0.9418389538331077,0.9418647702023949,0.9418813621606945,0.9418782890424555,0.9418409028407965,0.9418601545591578,0.9418790849902924,0.9419132762824497,0.9419108843964723,0.9419067586434519,0.941876020815489,0.9418987001496092,0.941923290414516,0.9419518664379062,0.9419170455495312,0.9419542464873273,0.9419858437209931,0.9420025125604532,0.9419974833405225,0.9419727533961889,0.941997819452757,0.9420158330997929,0.9420520161893359,0.9420571658103883,0.9420284262593017,0.9420469044820895,0.94207999487846,0.9421135666737758,0.94211432109636,0.9420770377518154,0.9421092265584944,0.9421391236314105,0.9421643083847423,0.942168105545435,0.9421465580911434,0.9421868713003272,0.9422089725740775,0.942235054472841,0.9422299908733032,0.9422235101611618,0.9421885035324342,0.94221235594181,0.942232045890113,0.9422688497945936,0.9422762779308523,0.9422376287155937,0.942263801516566,0.942302016305263,0.9423268699109301,0.9423272089664025,0.9422953203708937,0.9423250740147504,0.942347570085536,0.9423764760264695,0.9423839365647781,0.9423448285015201,0.9423840375168417,0.9424228127615286,0.9424405673664692,0.9424410955343685,0.9424174443476495,0.9424373099699939,0.9424506084184727,0.9424782541825453,0.9425000640934948,0.9425048222650868,0.942552604080787,0.9425814512637404,0.9425947896584111,0.9425918636667884,0.942553548773184,0.9425830673335811,0.9426066821825754,0.9426142088132734,0.9426096235914786,0.9425707535936443,0.9425931271811611,0.9426020347394068,0.9426185256254173,0.942596571382807,0.9426139427507794,0.9426420798641908,0.9426810161658412,0.9426948926975163,0.942646003600648,0.9426679635144575,0.9426931087030543,0.9427160102289086,0.9427150234712629,0.9426724127628349,0.9427028598367311,0.9427201337410088,0.9427358283920941,0.9427366739371675,0.9427188920909229,0.9427485811088885,0.9427981342899604,0.9428206518903326,0.9428142594507641,0.9427575574449201,0.9427926954182678,0.9428034657419063,0.9428377726571407,0.9428471687084101,0.9428387537384585,0.9427802464963186,0.9427942012507107,0.9428144711851302,0.9428275566604485,0.9428347580810963,0.9428278922826663,0.9428008942349353,0.9428430164497068,0.9428747212403769,0.9428914252943905,0.9428987306444938,0.9428366773219574,0.9428584092412453,0.9428810838914354,0.9428936034455256,0.942858300215992,0.9428769035324894,0.9428818676508256,0.9428990874197464,0.9429122450978548,0.9429058547159505,0.9428570186619193,0.94289523579494,0.9429225321661358,0.9429456550732369,0.9429451692332972,0.9429188795067478,0.9429393647635816,0.9429534713207598,0.9429767045435307,0.9429853185417331,0.9429807032602501,0.9429399258314906,0.9429704895867534,0.9429941292627747,0.9430456428359316,0.9430473304692834,0.9430440317155889,0.9429804838128336,0.9429987584377955,0.9430271056640012,0.9430385275792551,0.943033766001792,0.9430137678045559,0.9430347843147158,0.9430594991660539,0.9430663274079644,0.9430676474017645,0.9430597079833025,0.9430032383362986,0.9430663567469325,0.9431085571931122,0.9431310364360215,0.9431175590891566,0.9431482614853756,0.9431601593734144,0.9431814418328285,0.9431823606374035,0.9431775720967529,0.9431377653496199,0.9431791475165562,0.9431980052638329,0.9432278820270725,0.9432288081810691,0.9432233922921743,0.9431757091622864,0.943200120330244,0.9432410967575552,0.9432631389198688,0.9432566315819303,0.9432264801004266,0.9432615340687966,0.9432855293063722,0.9432915398982462,0.9433062909096956,0.9432993851363349,0.9432427125227524,0.943262585023352,0.9432888490047359,0.9432985397676444,0.9433067077467031,0.9432982895641507,0.9432808340151267,0.9433177339841098,0.9433278445917916,0.943336135302755,0.9433453815241346,0.9432710602597336,0.9432960648247073,0.9433067384597245,0.9433283722237482,0.9433335921536173,0.9433261558620412,0.9432800463168602,0.9433027983312342,0.9433320556430038,0.9433741545075868,0.9433446329241582,0.9433855119116982,0.9434109577232368,0.9434174944588055,0.9434119191306027,0.9433590224395806,0.9433775750750639,0.9433994750759759,0.9434111407327583,0.9434042246598381,0.943384192201004,0.943407507910951,0.9434368873547553,0.9434405644139662,0.9434089254767316,0.9434560495992108,0.9434714757229625,0.9434915430377826,0.9434883178170843,0.9434431259216738,0.9434711208470967,0.9434860755871944,0.9434944392515962,0.9434944241599599,0.9434551710332553,0.9434822965278924,0.9435122366114975,0.9435458164763131,0.9435407182499586,0.943504108598165,0.9435270907411064,0.943543300326397,0.9435540910180603,0.9435548804400165,0.9435275198237492,0.9435608134085849,0.9435861487183028,0.9435978669825514,0.9435950239702389,0.9435406408198451,0.9435702054027807,0.943588061985957,0.9436099337052923,0.9436126957170098,0.9436062658708962,0.9435402158153982,0.9435821231812825,0.9435920548370001,0.9436264561482591,0.9436297807190341,0.9435945957005538,0.9436247914959287,0.943643691713582,0.9436649533561831,0.9436645458440232,0.9436712565197155,0.9436358437502187,0.9436731755241626,0.9436989690804133,0.9437007844480731,0.9436936035693564,0.9436553591977108,0.943690379941378,0.9437102356906065,0.94372820720575,0.9437225512964277,0.9436894702396285,0.9437159116311193,0.9437471771074631,0.9437595541073951,0.9437600192148295,0.943753795726119,0.943700715662913,0.9437164192742196,0.9437457004986166,0.9437493691088578,0.9437199463367819,0.9437442050380049,0.9437603446395353,0.9437903108237861,0.9437989777335772,0.9437718717487941,0.943801839190579,0.9438256700025465,0.9438394189607834,0.9438336469543522,0.943798536494205,0.943824011728521,0.9438549249637076,0.9438709892010555,0.9438685890408542,0.9438615151568616,0.943853958279556,0.943791245536334,0.9438241157350126,0.9438436822186049,0.9438575353588808,0.9438609622103505,0.943853589695152,0.9438090298629688,0.9438243829438709,0.9438426041570803,0.9438607173706792,0.9438647302921355,0.9438395052982076,0.9438656106957545,0.9439158426316744,0.9439356435016959,0.9439338323721697,0.9439276616648351,0.9438861149797176,0.9439157306531726,0.9439550695548883,0.9439637316339677,0.9439459301809513,0.9439580040137254,0.9439777445278399,0.9439920796982897,0.9439973730608815,0.9439917324077637,0.9439838279968159,0.9439227638247906,0.9439410951739295,0.9439685499548564,0.9439801176143985,0.9439453179652463,0.9439761614111826,0.9440079475348697,0.944021003830817,0.9440169869797712,0.9439812253638936,0.9440134994887253,0.9440294571613035,0.9440468345547033,0.9440419356713163,0.9440347469680518,0.9440270141979535,0.9439644457874312,0.9440030753459764,0.944035480703589,0.944037042068097,0.9440129684616658,0.9440365162970276,0.9440868084445253,0.9440999598749735,0.9441022398059001,0.9440973369068935,0.9439932711605507,0.9440093406568072,0.9440568291405633,0.9440801712977815,0.9440730595666945,0.9440233939129654,0.9440719476658418,0.9440929017107045,0.9441090164182652,0.9441030679734456,0.9440968341305809,0.9440241536406792,0.9440553328061387,0.9440840949868943,0.9441093525860708,0.9441123925075091,0.944059616742159,0.9441132165838811,0.9441366852558367,0.9441596463111129,0.9441405217255069,0.9441890601836292,0.9442154831884467,0.9442331222861775,0.944229168579052,0.9442214883381721,0.9441721636190372,0.9442225110196528,0.9442840934384161,0.9443476518130582,0.9443562366848491,0.9443695196721896,0.9443877466612072,0.9444123277202032,0.9444105420917246,0.9444047615968884,0.9443734869052289,0.9444249762801842,0.9444630820364676,0.9444749939418793,0.9444805810209089,0.9444320908368541,0.9444743116445617,0.9444940485449579,0.9445059834591426,0.944498702053116,0.9444765277399437,0.9445089968930062,0.9445361419768465,0.9445464517297892,0.9445471003864352,0.944539873860083,0.9444958347840999,0.9445195789097267,0.9445560973581061,0.94457922408522,0.9445477109432835,0.9445601562186999,0.9445800073583862,0.9445998359454373,0.9446270756842945,0.9446208808887399,0.9446160158668419,0.9445718245800845,0.944606964432027,0.944622669854902,0.9446573378487024,0.9446629632683134,0.9446535773203355,0.9446104187776164,0.944674766720335,0.9447024978290425,0.9447095612404122,0.9446762383397852,0.9447134997175791,0.9447399021720196,0.9447440424808392,0.9447431828943823,0.9446708363764391,0.9447012383925264,0.9447232335789415,0.9447635012942246,0.9447584486230505,0.9447080393471802,0.9447215794614174,0.9447455956310886,0.9447552069415738,0.9447682935665747,0.9447594760683913,0.9446912193695882,0.9447401165181704,0.9447547434190698,0.9447624167909039,0.9447547153133975,0.944699113841785,0.9447525715251948,0.9447731682683721,0.9447913115370004,0.9447865272992306,0.9447788444611235,0.9447183548211099,0.9447298024002436,0.9447484680062704,0.9447651445684485,0.9447644873303671,0.9447144271897403,0.9447416045801655,0.9447767821742923,0.9447819999830811,0.9447547509157994,0.9447843737285719,0.9448110946130295,0.9448211184916996,0.9448140831830077,0.944734486043283,0.9447657573355742,0.9448165492022299,0.9448182520653114,0.9448134404358784,0.9447275347026861,0.944758876377149,0.9447862118594208,0.9447993217257721,0.944794203021829,0.9447703765482071,0.9447908243605566,0.9448145302546923,0.9448262649967671,0.9448193385388586,0.9447643057193043,0.9447875970578393,0.9448124949704301,0.9448263216694952,0.9448199500917188,0.9447883684807934,0.9448172364711882,0.9448522231886068,0.9448689807765893,0.9448726310811546,0.9448620363084262,0.944786519064349,0.9448039206250929,0.9448364854068426,0.9448436206332192,0.9448377312870768,0.9447722354118143,0.9448088678626754,0.9448369377415209,0.9448235013494354,0.9448737634219516,0.9449120028055289,0.9449147520217267,0.9448646321589071,0.9448816107572799,0.9449163532093465,0.9449464814148456,0.9449274973002885,0.9449470394538874,0.9449853789147882,0.9449946301351013,0.9449973684366149,0.9449891468750151,0.9449455730076126,0.9449809152499317,0.9449973892869254,0.9450062962697765,0.9449768910052682,0.9450244361580789,0.9450460863637711,0.9450539915364036,0.9450513258919234,0.9450091461720667,0.9450435377504318,0.9450693014810038,0.9450848723662743,0.945087552340046,0.9450795479514695,0.9450075519473429,0.9450409646162822,0.9450727669165776,0.9450913197554421,0.9450907310687305,0.9450468837974794,0.945064548722075,0.9450861949448474,0.9450976993595038,0.9450964437746283,0.9450358206203122,0.9450530019044127,0.9450788749296098,0.9451001712974493,0.9450999332512088,0.945019673485359,0.9450491271478859,0.9450714577733705,0.9450814925576021,0.9450909866100513,0.945057438614878,0.9450813680920392,0.9451109049855531,0.9451237173121483,0.9451167617833105,0.9451092597695541,0.9450497089859977,0.945090142333444,0.9451423267157987,0.9451518888811917,0.9451588758126005,0.9451096180351538,0.9451671943690866,0.9452423512032883,0.9454476992844113,0.9456718376272808,0.94567829543199,0.9456046278833917,0.9456344987778141,0.9456643801773317,0.9456802055236959,0.9456748369943729,0.9456668281572319,0.9456073281424194,0.9456579835483535,0.945685331565307,0.9457001999779328,0.9456962026706371,0.945647717767986,0.9456755638149292,0.9456858032482639,0.9456998174580483,0.9457271365966782,0.9457316375604454,0.9457242171053319,0.945657795238035,0.9457032668051546,0.9457384842213833,0.9457527778818664,0.9457119457764713,0.9457498136959794,0.9457725937871189,0.9457817829880826,0.9457743591271845,0.9457337197845652,0.9457842439722831,0.9458091826874468,0.9458325320884751,0.9457970094520425,0.9458261599100531,0.9458725862596365,0.9458834450964652,0.9458393619795776,0.9458868656838757,0.945927546291039,0.9459478026924711,0.9459454667157239,0.9458624918837025,0.9459363894831382,0.945968303388515,0.9460028108901726,0.9460046819157533,0.9459972893105517,0.9459511447716544,0.9459699306566847,0.9459782010863309,0.945999658482673,0.9459937572561744,0.9459334828126619,0.945956393914176,0.9459868117566571,0.9460126924725023,0.9460064513827895,0.9460006465853604,0.9459462324674122,0.9459618580553568,0.9459986693488069,0.9460334119551715,0.9460254269937075,0.9459630933109141,0.9460031398789224,0.9460293867654427,0.9460514703168152,0.9460452882833446,0.945972120931035,0.9460350115244681,0.946058758594411,0.9460679862489646,0.9460620195969954,0.9460532807104095,0.9459989393731078,0.9460377847764138,0.9460482683473556,0.9460710028539713,0.9460685325366698,0.9459729636984491,0.9460227576439767,0.9460708531268449,0.9460808070232911,0.9460608903306236,0.9461113726833027,0.946130400324004,0.9461456727692293,0.9461396727371079,0.9460682284558125,0.9460889458468557,0.9461091363080678,0.9461384133206281,0.9461408995261343,0.9460886706634476,0.9461126347848304,0.9461574688384973,0.9461570431355475,0.9461280737565797,0.946158464438274,0.9461947567789977,0.9462160956601087,0.9462103879942637,0.9461113540622662,0.9461311149725172,0.9461543655425161,0.946174677633722,0.9461702105921578,0.9461018970072649,0.9461243843988595,0.946139348992163,0.9461688139625598,0.9461689562845632,0.9461212478263221,0.9461431737611364,0.9461608586202244,0.9461866322835785,0.9461795083419199,0.9461137946176525,0.9461503930859313,0.9461631319285659,0.9461755371776335,0.9461195065734042,0.946148598695765,0.9461766200014514,0.9461818772046536,0.9461752066644793,0.9461073559649581,0.946152696659256,0.9461769546429606,0.9461763236992101,0.9461415597209909,0.9461853025034651,0.9462014884342774,0.946203542355106,0.9461610989292246,0.9461740407121235,0.9461962206181709,0.94620639446424,0.9462006599159084,0.9461429194736392,0.9461890653218484,0.9462140076254665,0.946190949372806,0.9462268005639801,0.946252830479734,0.9462663711464839,0.9462604755338168,0.9462053733531757,0.9462401977541666,0.9462548172611895,0.9462171878336035,0.9462689857856231,0.9462894813557658,0.9462991809572857,0.9462961604890293,0.9462880343287159,0.9462353407738938,0.9462707917863806,0.9463063571579764,0.9463309189390547,0.9463236731912255,0.9462673774493481,0.9462935792676535,0.9462978615428198,0.9463218844356063,0.9462952163090019,0.9463217494411958,0.9463633906813445,0.9463805524297862,0.9463317721876882,0.9463600931868172,0.9463951139561924,0.9464010730008882,0.9463620821055214,0.9463911519614113,0.9464290387432533,0.9464425621067706,0.9464414111492988,0.946440956060324,0.946385352331235,0.9464354691834115,0.9464723384764921,0.9464921519064069,0.9465000737403373,0.9464309584475246,0.9464513511225541,0.9464810839723541,0.9464890189857893,0.9464591251419996,0.9464795449604084,0.9464927792083289,0.9465128584416685,0.9465045073703809,0.9464964040263676,0.9464611775942469,0.9464827364987866,0.9464997760676305,0.9465106746770662,0.9464726083593146,0.9464884629046306,0.946523377591843,0.94653493212935,0.9465276486791278,0.9464613375593848,0.9465001362500235,0.9465236997907072,0.9465291286234896,0.9465251670813096,0.946517342034077,0.946507775845915,0.9464320821242105,0.946467133413872,0.9464887590828259,0.9464821115281394,0.946458515247822,0.9464846816224256,0.9465086260248378,0.9465162397838154,0.946461660116371,0.9465096554129868,0.9465342010621491,0.946577758515526,0.9465711697389386,0.9465398826586114,0.9465867128138934,0.9466067970462428,0.9466210076168707,0.9465565618895401,0.9466201357795602,0.9466615973094505,0.9466584928123389,0.9466065322911992,0.9466300513353902,0.9466709212572553,0.9466694903641324,0.9466425541966738,0.9466610470828127,0.9466970024782426,0.9467340962712798,0.9467325867041724,0.9466941365214533,0.94671154090821,0.9467317661413756,0.9467610076732853,0.9467042385005718,0.9467329794981638,0.9467797758979182,0.9467834404010751,0.9467777068120722,0.9467324823331089,0.9467673260860618,0.9467892567998034,0.9468049498919202,0.9467991724554408,0.9467414264413518,0.9467673792909368,0.9467781289608944,0.946786396080105,0.946785832988611,0.9467441885509638,0.9467962749972174,0.946810981113194,0.9468189227419742,0.9468137589477944,0.9467488147454123,0.9467641375440145,0.9468069348937704,0.9468134364792519,0.9467683462083922,0.9467921301284061,0.9468080569645533,0.9468079674209688,0.9467991785401423,0.9467107128047757,0.9467574338779446,0.946779662649674,0.9468112717276431,0.9468065179617366,0.9467643548600981,0.9468155337347415,0.946844659169643,0.9468434651079197,0.9467624569556785,0.9467870509377709,0.9468093334429035,0.94682541984862,0.9468253646836668,0.9468157204099683,0.946768219590549,0.9467845788575098,0.9468092254404821,0.9468201233263608,0.9468163696344056,0.946785693512738,0.946813236091711,0.9468373457463574,0.9468677783947759,0.946859551886864,0.9468111447592807,0.946859363817749,0.9468777737707984,0.9468956153390267,0.9468625834202753,0.9469000033426421,0.9469195620710386,0.9469167078558579,0.9469116359390962,0.9468679235178525,0.9469123185260888,0.9469273300872165,0.9469360043840955,0.9469621395658163,0.9469092097313913,0.9469825622838731,0.947021293335472,0.9470848828243195,0.9470918356140312,0.947032039895326,0.9470552260809479,0.9470691289238634,0.9470801748674224,0.9470771040119906,0.9470710724076289,0.9470740421639265,0.9469908354421697,0.9470366665461948,0.9470842253213915,0.947095527224683,0.9470947401195667,0.9470542087420237,0.9470982830316707,0.9471076347789483,0.9471274526049626,0.9471201418199408,0.9470716029722035,0.9470931529459914,0.9471170718785207,0.9471380885345267,0.9471386007001786,0.9471340552593823,0.9470604137941228,0.9471117955035417,0.9471217377322468,0.9471222157182908,0.9470777701103918,0.94711170159616,0.9471450622044164,0.9471427857445639,0.947134663590955,0.9470798309075038,0.9470921374084477,0.9471091632461615,0.9471165346125248,0.9471076096793816,0.9470604504564148,0.9470675310723136,0.947087510545546,0.947128275578564,0.947147035949056,0.9471405143754614,0.9471322307445974,0.9471225031688584,0.9470599582319991,0.9470840945819775,0.9471077149319161,0.9471336002388123,0.9471301325222681,0.9471219269927986,0.9470543808993968,0.9470768021765135,0.9471074770742894,0.9471122120934884,0.947064210074832,0.9470859115344432,0.9471056871179054,0.9471268806622298,0.9471199850485921,0.9471115832629778,0.9470570881304914,0.947102004862276,0.9471249091345869,0.9471272660099752,0.9471201319250344,0.9470795031769789,0.9470913883403129,0.9471233008537833,0.9471310545601817,0.9471224950836191,0.9470861673252642,0.9471179534923299,0.9471568984528812,0.9471556114146082,0.9471463816355775,0.9470829763350066,0.9471329018538904,0.94716618635927,0.9471399332653186,0.9471785973158785,0.9472030078963556,0.9472075717843553,0.9471347554202105,0.947176505061201,0.9472110570304231,0.9472078855413919,0.9471771835845574,0.9472076610301371,0.9472596223169372,0.9472515153900654,0.9472099249727723,0.9472314609121466,0.947244643570961,0.9472584283408934,0.9472487465632591,0.9471817131712887,0.9472240629013216,0.9472904050870932,0.9472594139878691,0.947284586467354,0.9472910958817473,0.9472965758398466,0.9472881733382597,0.9472789675237732,0.9472277766412067,0.9472776606817838,0.9472877824751361,0.9473431032483076,0.9473344248806873,0.9472716553098022,0.9473294653852502,0.9473614370320707,0.9473849319244056,0.9473771458041701,0.9473680198450637,0.9473126614822761,0.9473711996265061,0.9474086684785374,0.9474087756817445,0.9473288742874078,0.9473559742526367,0.9474181528832986,0.9473947611159519,0.9474238336093656,0.9474481445318113,0.9474650351325302,0.9474590660851712,0.9474066206295014,0.9474390126122577,0.9474542778201768,0.9474780022624781,0.947472058414153,0.9474440085516657,0.947479921279761,0.9474982481267447,0.9474934478121683,0.9474408863077862,0.9474635531486783,0.9474896053797333,0.9475016843658763,0.9474923179212564,0.9474339889093272,0.9474595713096872,0.9474791752365281,0.9474805136364367,0.947428164007552,0.9474446381714233,0.9474502079229591,0.9474592367247735,0.9474503056233144,0.9474409988934676,0.9473597294802416,0.9474020062340752,0.9474284040080978,0.9473989141204389,0.9474356083780011,0.9474626244585982,0.9474802624435793,0.9474713692039485,0.9474181083123686,0.9474482297107776,0.9474593847217422,0.9474594003868972,0.9474531108859153,0.9474098287562926,0.9474768440342233,0.9474865550876715,0.947478657834755,0.9474142783592502,0.9474346911038078,0.9474771631367822,0.9474846021571597,0.9474089957492099,0.9474341413898224,0.9474354885945787,0.9474491363463572,0.9474344257011272,0.9474448922919219,0.9474615343027191,0.9474653567263653,0.9474578965956287,0.9474218206453876,0.9474608604345544,0.9474862849725048,0.9474925899562672,0.9475011681053722,0.9474648352753552,0.9474810458720271,0.9474996700722182,0.9475032361645389,0.9474887217651957,0.9474242537279246,0.947450275011733,0.947471447604021,0.9474810138020721,0.9474721741038244,0.9474191078326223,0.9474470723312567,0.9475192729724519,0.9475274829801666,0.947518738386924,0.9474875232892036,0.9475181328574074,0.9475724036107229,0.9475843349473458,0.9475807405343895,0.9475718189984472,0.9475196451053988,0.9475472048181515,0.9475691636269833,0.947569856945875,0.9475162109418752,0.9475483254067782,0.9475740672265252,0.9475696960068138,0.9475609844546262,0.9475003729604345,0.9475236464136547,0.9475581923649926,0.9475570779120848,0.9475490082740169,0.9475401019346978,0.9474744066815514,0.9475102643079987,0.9475423745078561,0.9475336937304276,0.9474955245279718,0.9475387326300415,0.9475674471816748,0.947565073789962,0.9475585125499125,0.9475489831974236,0.9474701464730696,0.947499187864672,0.9475062407932934,0.9475181594040126,0.9475157713242728,0.9474871511114422,0.9475131543061645,0.9475371006749811,0.9475384963466734,0.9475301534394422,0.9475205481002286,0.9474634373246504,0.9474963289623045,0.9475305678893823,0.9475375467688407,0.9475277497477296,0.9474528216824901,0.9474985136046923,0.9475308951319495,0.9475353917569936,0.9474985153202895,0.9475303336078114,0.9475593837458176,0.9475671320585023,0.9475637507529616,0.9475206882831371,0.9475443093608759,0.9475749247954282,0.9475788425280816,0.9475292905331065,0.947547227290204,0.9475790214070562,0.9475829107105098,0.9475817821952353,0.9475791396376432,0.9474863326950996,0.947495173644499,0.9475345576526237,0.9475377413487391,0.9475288755129591,0.9474740244684924,0.9475137507002593,0.9475469990782578,0.9475126862448715,0.9475446526498664,0.9476100397100263,0.9476332245960164,0.9476300368007338,0.9476248600882061,0.9475613508861512,0.9475877370998729,0.9476295576581648,0.9475939572686377,0.9476318245292296,0.9476608280222419,0.9476719016444755,0.9476624342883628,0.9475902707001399,0.9475994209535806,0.9476105043725228,0.9476054368193791,0.9475471408287869,0.9476103747244073,0.9476278161438515,0.9475946402557807,0.9476228781896062,0.9476272968916449,0.9476268055877993,0.9476180716188914,0.9475550768160947,0.9475758939530317,0.947592841782775,0.947594928937594,0.947524343302902,0.9475483960006942,0.9475661291777485,0.9475609839449385,0.9475003455680386,0.9475198604855218,0.9475336172449981,0.9475538672321394,0.9475493945820901,0.9474835015481342,0.9475245207869983,0.9475361115210251,0.9475393225104897,0.9475360308708519,0.9474950043016604,0.9475191948044985,0.9475330092729126,0.9475330393749729,0.9475236984424773,0.9474575734331124,0.9474939890311441,0.9475117436222091,0.947461003627778,0.9474747070682269,0.9474930636898824,0.9474927605128669,0.9474851575886939,0.9473941083226355,0.9474079784825049,0.9474290614604729,0.947440322614115,0.9474348375045402,0.9473529216117784,0.9473955239759281,0.947420595032935,0.9474204959736634,0.9473747762839859,0.9474280795887982,0.9474379935780612,0.9474340590855591,0.9474252258071237,0.9473860531581644,0.9474032898752428,0.9474238273373291,0.94742771780631,0.9473858213022207,0.9474123155706606,0.94743288370966,0.9474254546264932,0.9473772261912812,0.9474163097430219,0.9474699474092738,0.9474657103774631,0.9474176246922752,0.9474574412886366,0.9474800686752357,0.947482148583309,0.9474737127492467,0.9474437091648925,0.9474516736514321,0.9474862226437556,0.947481641450551,0.9474090919281255,0.9474370931789659,0.9474523051907091,0.9474577447460899,0.9474061282329983,0.9474407123571106,0.9474641153027779,0.9474601417043419,0.9474504378603482,0.9474050442069217,0.9474271412954455,0.947462535017945,0.9474535609213334,0.9473475382431749,0.9473803673110894,0.9473991463271905,0.9473903928320335,0.9473006831379845,0.9473288920259243,0.9473517208920386,0.9473524989980824,0.9473457242658156,0.9473346292083825,0.9472600013879506,0.9473036672392117,0.9473337810801467,0.9473023403537328,0.9473548359647288,0.9473710714305978,0.947369093104324,0.9472933390073622,0.9473149774601929,0.9473399915280016,0.9473757919401253,0.9473812571103527,0.94737714221506,0.9472608724781509,0.9472858004439901,0.9472905880582946,0.9473139935927244,0.947318825537658,0.9472700777040222,0.9472979081846533,0.9473182697094873,0.947310101034637,0.947299973060826,0.9472485955799572,0.9472832479116766,0.9473049607327502,0.9473035951110386,0.9473362647468988,0.9473689489407736,0.9473180722304053,0.9473796335747763,0.9474130546144872,0.9474082663937896,0.9473700084665857,0.9473823326397324,0.9474035476670616,0.9474002261985,0.9473891120048527,0.9473179683704863,0.9473569791414718,0.9473972220042151,0.947398781904432,0.9473967783597049,0.9473225981430294,0.9473561558146968,0.9473931850295226,0.9474089178410957,0.9473502418199252,0.9473791103632905,0.9473884724099791,0.9473827298855769,0.9473063006374278,0.9473372395361807,0.9473689167133319,0.9473633872456603,0.9473188800965354,0.947339522340556,0.947365748197159,0.9473605536854434,0.9473088226108002,0.9473374870318008,0.9473623782377584,0.947353464259212,0.9472679596581983,0.947307256256467,0.9473370268595147,0.9473319599524465,0.9472713482449551,0.9472864926059577,0.9473307110685985,0.9473473343443174,0.9473370345120561,0.9472936387690428,0.9473248106060606,0.9473442647871348,0.9473830413417916,0.9473781184630267,0.9473244275675197,0.947334899030127,0.9473669180012638,0.947381411707147,0.9473715440210153,0.9473143465609086,0.9473422464247022,0.9473728230972346,0.9473831366255199,0.9473714729895278,0.9472750309400707,0.9472953342723385,0.9473384900380059,0.9472881096303628,0.9473084459111065,0.9473327070785214,0.9473312262483152,0.9473249736687518,0.94726982426472,0.9473034775055479,0.9473209850206646,0.9473234233130102,0.9472797899703916,0.9472899624845903,0.9473530131464069,0.9473807969227516,0.9473729753076467,0.9472982931715753,0.9473327836438487,0.947353913389485,0.9473649493460455,0.9473542973209388,0.9473081651717181,0.9473138947227808,0.9473545908293274,0.9473504070442978,0.9472946447351502,0.9473276115214345,0.9473457614944131,0.9473387897470986,0.9473293878911224,0.9472552733925436,0.9472885405886284,0.9472992318865097,0.9472575964053713,0.9472753208423296,0.947309350950363,0.9473476001848108,0.9473538825177144,0.9472709733864756,0.9472857537129741,0.9472957768394972,0.9473008423784133,0.9472924398463407,0.9472816282534003,0.9472099854808158,0.9472278264729058,0.9472427942804179,0.9472754520661381,0.9472671005495433,0.9472187427720054,0.9472415199525888,0.9472636352435246,0.947269862191219,0.9472624453774312,0.9472501152097117,0.9471605786152724,0.9471998156083606,0.9472113189636338,0.947165605383736,0.9471870372982404,0.9471977197900855,0.9472106706026436,0.9472061502883891,0.9471725785889931,0.947208194684182,0.9472512244401426,0.9472512806095535,0.9472000847255686,0.9472412608525237,0.9472506347890911,0.9472119617946024,0.947235408109308,0.9472527272685942,0.9472645873139425,0.9472102493055877,0.9472484357272682,0.947262791868039,0.9472204454397802,0.9472594022240881,0.9472890181274278,0.9473014434669967,0.9472945065907529,0.9472504087168574,0.9473535146510093,0.9475636545334337,0.9476027979103289,0.9475632669120989,0.9475821767045116,0.947591657385228,0.947582306567739,0.9475490622771372,0.9475796135049493,0.9476257047256726,0.9476417667761363,0.9476446392787868,0.9476414376799718,0.9476325986366264,0.9475109730553722,0.947533639505923,0.9475570427189737,0.9475292180109881,0.9475541008572622,0.9475694164526494,0.9475621406104094,0.9474995694480324,0.9475004460193541,0.9475173562771035,0.9475546453237482,0.9475486080704749,0.9474811978805093,0.947544710810363,0.9476186474716318,0.947641391222544,0.9475958098874986,0.9476074390627991,0.947616308472731,0.9476070921909137,0.9475563856012158,0.9476041283282869,0.9476137849749928,0.9476041037366962,0.947560538484585,0.9475831618137863,0.9476046118599093,0.9475988283679966,0.9475880686572901,0.9475024428027154,0.9475327498204824,0.9475615996297772,0.9475757441609952,0.9476274375455426,0.9476194805305808,0.9475655838569516,0.947586389328686,0.9476123662177232,0.9476257749652652,0.9476225140041029,0.9475815940269572,0.9476009215354352,0.9476232164476213,0.947621750677194,0.9476158500872303,0.9476039181026985,0.9475363099910568,0.947577841424904,0.9475793658856019,0.9475707712520879,0.9475160080869789,0.9475360597146213,0.9475554609278438,0.9475465154059651,0.9475346443472704,0.9474866947272713,0.9475068991470146,0.9475153913291003,0.9475081138654942,0.9474977779555936,0.947450411360749,0.9474803165066462,0.9475131307513319,0.9475080754087206,0.9474413803737936,0.9474816979170684,0.9475004073305328,0.9474914837117869,0.9474804026946049,0.9474473657439062,0.9474639481667637,0.9474835281967449,0.9474402417731506,0.9474613355239254,0.9474763674860852,0.9474665324355441,0.9473871649374391,0.9474652925935103,0.9474674804344176,0.9474000505822108,0.9474327812560716,0.9474621457597461,0.9474576553575721,0.9474472734890674,0.947366036764139,0.9474353674436353,0.9477029413168319,0.9477694114352273,0.947726565069445,0.9477758350824229,0.9477475164843575,0.9477628364197728,0.9477698065504081,0.9477626347397107,0.9476747252325755,0.9477097592303813,0.9477174920193566,0.9476730695062564,0.9476997644580575,0.9477280314195391,0.9477280661578423,0.9477171398115216,0.947705957557251,0.9476285560027565,0.9476606326526845,0.947664624040387,0.9476569536785353,0.947585760059936,0.9476011710115936,0.9476056668779093,0.9475762811016634,0.947590180110716,0.9476056111256466,0.9476062562001571,0.9474982490002356,0.9475433547006132,0.9475496389345238,0.9475388815454269,0.9475126048111965,0.9475456863149133,0.9475512125730958,0.9475407848146292,0.947495197854853,0.9475234279082453,0.9475560196878441,0.9475469806781865,0.9475060360721183,0.9475369288346991,0.9475394464038313,0.9474857740477056,0.9474990091547603,0.9475037835001214,0.9474954296160878,0.9474836099613726,0.9474122805589825,0.9474439946634063,0.9474573828593482,0.9474589025143045,0.9474151365379098,0.9474407638576376,0.9474494064461626,0.947442512189194,0.9474317944685055,0.9473644228947076,0.9474062635324493,0.9474273058629313,0.9474231455868793,0.9474120979972938,0.9472620873944426,0.947292406337115,0.9473461415090393,0.947335944846419,0.9472974138108005,0.9473138238893497,0.9473349112212146,0.9473521163101615,0.9473428125256842,0.9473316875513279,0.9472627552469312,0.9472893798227501,0.9473044443602595,0.9472787406090308,0.9472944651441466,0.9473195679126328,0.9473149141387616,0.947315727100365,0.9472630046803392,0.9473029206694739,0.9473108616212145,0.9472998919361928,0.9472859107347098,0.9471952740900297,0.947237676798373,0.947252554299572,0.9471960931443472,0.9472441055897479,0.9472621075081856,0.9471816622148741,0.947226532082675,0.9472494661356701,0.9472202767828773,0.9472872770598356,0.9473149394179227,0.9472524707307663,0.9472888930375832,0.9473221751392412,0.9473172936293124,0.9472479266458879,0.9472899163172928,0.9472915695581207,0.9472227496397064,0.9472829042595026,0.9472901081814356,0.947279122247817,0.94720333150876,0.9472526237855795,0.9472617755643934,0.9472504481711179,0.9472023039849535,0.9472342205316807,0.9473017430548322,0.9473138013152432,0.947304942304896,0.9471964316996591,0.9472491923016979,0.9472664594289644,0.9472553924576391,0.9471780609165763,0.9471917018305481,0.9472213918122137,0.9472166919926311,0.9471725611797367,0.9472471400834804,0.9472600659915265,0.9472522489367624,0.947203246373277,0.9472472479255678,0.9472866811494495,0.9472962963590723,0.9472471499276347,0.9472792305048645,0.9473010537752145,0.9472955431284272,0.9472052277710027,0.947222961805464,0.9472583910005896,0.9472473472611344,0.9471857687437907,0.947242371787824,0.9472714144075867,0.9472851228569845,0.9472331977011671,0.947285062464567,0.9472848184342155,0.9472711725556558,0.9472046049350078,0.9472588771233764,0.947274078233715,0.9472973077110792,0.9472841726618705,0.9472473054138555,0.9472925277142664,0.9473405737757635,0.9473316745019431,0.9473202428218952,0.9472474246554394,0.9472808158025218,0.947300472913619,0.9472937608110292,0.9472222963543904,0.9472550258937075,0.9472678725236865,0.9471392036084388,0.9472005486105953,0.9472030560650053,0.9471265024124247,0.9471304073927608,0.9471869205960103,0.9471907962462565,0.947137338918168,0.9471696248532755,0.9471992383079754,0.947192898917647,0.9471051806237669,0.9471883894235992,0.9471906801355698,0.9471790636003999,0.9471672581709777,0.9471038228528342,0.9471358847874253,0.9471557711724065,0.9471054995073376,0.9471549111994572,0.9471764846498862,0.9471690934571774,0.9470862743932398,0.9471128495313349,0.9471071300809666,0.9470506754271986,0.9471129044548164,0.9471353867799482,0.9471244969151137,0.9470882861522165,0.9471198797325909,0.9471361155537698,0.9470918797415004,0.9471426036885383,0.947174124466615,0.9471682063710634,0.9471119630593072,0.9471295438366784,0.9471554697697425,0.947147128112488,0.947100018241373,0.9471207792745822,0.9471332935406198,0.947119586354204,0.9470607606715891,0.9470817374901644,0.9471136009497663,0.9471135877886876,0.947083520582022,0.9471514319163866,0.9471699649664446,0.9471579912847781,0.9471171908782227,0.9471340142590235,0.9471579348650002,0.9471598426509554,0.9470899282971119,0.9471043036872888,0.9471244822788791,0.9471127828769004,0.9470506753781237,0.947088850009878,0.947094355342637,0.9470358485572447,0.9471169531321033,0.9471350908901232,0.9471249462660957,0.9471130601401945,0.9470059861506022,0.9470424509787266,0.9470482547808068,0.947019351998418,0.9470507733658892,0.9470652062977069,0.9470556630131098,0.9470121517866505,0.9470735682511336,0.9471084133151714,0.9471082045205635,0.9470443803382138,0.9470801902985142,0.9471142696368634,0.9470749482930638,0.9471007267530803,0.9471144455495898,0.9471016371716473,0.947088489040183,0.9470461897032355,0.9470949222556894,0.9471052007463003,0.9470605118133688,0.9470964911251204,0.9471478858612512,0.9471470728241852,0.9471061511919359,0.9471173195978854,0.9471464875148934,0.9470860750207183,0.9471084113588903,0.947132476010704,0.9470940255425039,0.947114625796655,0.9471396296262692,0.9471291635885772,0.9470765602444172,0.9471032127557873,0.9471119017082169,0.9471077175417191,0.947101769549346,0.9470634865017123,0.9471032172313967,0.9471177661868407,0.9470684046510314,0.9470938013982138,0.9471162878076272,0.9471153626879436,0.9471041639675116,0.9470508777361613,0.9471071843272967,0.947115920600776,0.9470873928435589,0.9471324624203868,0.9471637424493168,0.9471534374879903,0.9470913236696565,0.9471617021081619,0.9471925201090817,0.9471223190013156,0.9471598062976232,0.9471737249289458,0.9471612021154998,0.9470983042240771,0.9471471399624931,0.9471819577551388,0.9471913588203449,0.9471940781779236,0.9471804584000398,0.9471105728119785,0.9471612944301782,0.9471068227330836,0.9471392827972607,0.9471550313160504,0.9470753043077444,0.9471130833619573,0.9472367557013998,0.9471920082409915,0.9472254451595191,0.9472738894749098,0.9472660509253288,0.9472305291899623,0.947266720919776,0.9472598010929388,0.9472478854912166,0.9471621879523905,0.9472160889376448,0.9472329628177195,0.9471917162598981,0.9472228828299503,0.9472300117355782,0.9472171108863368,0.947137053778775,0.9471645412956381,0.9471935128240853,0.9471512036528381,0.9471743505733676,0.9471912027161914,0.9471796259856348,0.9471229213702268,0.9471939734933499,0.9471994101058769,0.9471870733458133,0.9471063211531485,0.9471892092106772,0.9472021770979675,0.9471634229015277,0.9472116166636544,0.9472349152156166,0.9472246709311876,0.9472406971267074,0.947133997883434,0.9471707592078635,0.9471860686761521,0.9471797086031146,0.947174183622069,0.9470958029974532,0.9471406315849287,0.9471486491606987,0.9471068613564959,0.9471644290687629,0.9472082537676882,0.9472077124164401,0.947139296983148,0.9471823456455729,0.947185050055279,0.9471501831641209,0.9471925871512143,0.9471971507514779,0.9471945026761183,0.9471188360366442,0.9471875715266651,0.9472038402063576,0.9471494911664354,0.9471803473486534,0.9472156453576254,0.9472129916078663,0.9471389291118234,0.9471722678818455,0.9471795245008101,0.9471254515750478,0.9471672743803143,0.9471760051572105,0.947163333570018,0.9471233529162097,0.9471552837032028,0.9471624585780539,0.9471558818356813,0.9471053026484384,0.9471427526721142,0.9471573824896148,0.9471509923509789,0.9471168296686782,0.9471506365378815,0.9471637149844182,0.9471510264056855,0.9470647146707769,0.9470972104818258,0.9470952081394663,0.9470535614987742,0.9470884474299246,0.9471022752562736,0.9470623209765602,0.9470917510904299,0.9471098786747821,0.9470960388900519,0.9470259600744129,0.9470471693809146,0.9470564361088564,0.9470113079342126,0.9470315710889002,0.947062895992719,0.9469739028462008,0.9470339272039238,0.947031174929077,0.9469796817883382,0.9470238873611092,0.9470461393992224,0.9469601418880734,0.9470472017370553,0.947040574636963,0.946981598505001,0.9470296908448738,0.9469464262932177,0.9470067413480143,0.9470494771822046,0.9470498500539767,0.9469832948940502,0.9470224802006985,0.9470318655116186,0.9470184138696097,0.946936775648786,0.9469657150802565,0.946967985677154,0.9469596284598786,0.9469471623107335,0.9468697678739803,0.9469184735378358,0.9469446284996588,0.946933171367693,0.9468729450725315,0.9469022516020957,0.9469129673504939,0.946845389873895,0.9468697368695285,0.9468951433969119,0.9469245726338703,0.9468687302952136,0.9469242125739293,0.9469323699398942,0.946889002280229,0.9469749385377059,0.947026934307734,0.9470142985681481,0.9469461870911744,0.9469609473036376,0.9469750345534732,0.9469612530651373,0.9468742646874765,0.9469046402852478,0.9469103149795624,0.9468479592051667,0.9468755298751778,0.9468945639061676,0.9468814404270847,0.9468283835181455,0.9468469527965157,0.9468574456383491,0.9468448127605437,0.9467857283094931,0.9468133855833154,0.9468282839679922,0.9468215676316235,0.9467447201860044,0.9467791186550177,0.9467915494123907,0.9467791245294758,0.9466574074167806,0.9467446153721517,0.9467828088263449,0.9467787597348514,0.9467206712637523,0.9467513979546384,0.9467743474298103,0.9467658489240478,0.9466575242962901,0.946726858626915,0.9467576875192779,0.9467683860666688,0.9466846709760063,0.9467241922830113,0.9467353934355799,0.9467336447453308,0.9466702232796673,0.9467252542333027,0.9468201305820556,0.9468272845852835,0.9468279429597679,0.9467372463074335,0.946748886970324,0.946790637564618,0.9467824359775396,0.9467404161293237,0.9467820574577941,0.9467946518284426,0.9467858475141483,0.9467076831875147,0.9467495766136297,0.9467492425849531,0.9466915460070205,0.9467286230785572,0.9467725047838622,0.9467114326847011,0.9468121595821177,0.946864791180717,0.9467943403783637,0.946927669302785,0.9471160469835574,0.9471006762479693,0.9471420186211088,0.9471539107081173,0.9471386665753547,0.9471230294651272,0.9471060101709627,0.9469921389292087,0.9470651422671141,0.9470622654789124,0.9470208405186112,0.9470544152242139,0.9470633802743479,0.9470870004599226,0.9470144936012181,0.9470421517018323,0.9470346908876596,0.9469620312769775,0.9470047071803079,0.9470176070495209,0.9469753015267576,0.9469878735088211,0.9469998490173546,0.9469295620859449,0.9469664507347566,0.9469634653547517,0.9469305161358141,0.9469863225448247,0.947005691673495,0.9469363980412665,0.9469713652326278,0.9469734176761598,0.9469588831984279,0.946878127890329,0.9469089357495464,0.9469057494384943,0.9468506664156746,0.9469167448645915,0.9469137801312394,0.9469036852623378,0.9468388611930681,0.9469110423886851,0.9469548175266085,0.9468953450348029,0.9469263864211075,0.9469331905526801,0.9469209925083684,0.946842351158264,0.9469018446381786,0.9469411531670454,0.946882537218264,0.9469189277977531,0.9469287332972,0.946835935496007,0.946862103620074,0.9468711867705737,0.9468556140236395,0.9467670503922445,0.946798510062438,0.94679648833878,0.9468089556240783,0.9466896134343937,0.9467412799168988,0.9467319354540311,0.9466368259024155,0.946685479794033,0.9466874978435634,0.9466429692170562,0.9466674582656426,0.9466610663251754,0.9466506386370559,0.9465692701099443,0.9465974874752481,0.9466085202094658,0.9466001600230398,0.9465108006515746,0.9465525957781042,0.9465540086663896,0.9465042568490845,0.9465204617363792,0.9465129573999121,0.9464433989881347,0.9464566414839651,0.9464915356487158,0.9464243270058986,0.9464578248075509,0.9464451113940374,0.9463668217023773,0.9463925638125216,0.9464503982874624,0.9464639195777658,0.9463834690394982,0.9464279453399599,0.9464401184544803,0.9463888233713091,0.946440642997612,0.9464612689198505,0.9464528073157555,0.94636023333403,0.9463756761633971,0.9464171711612548,0.9462550678808971,0.9462998592884013,0.9462953633487122,0.9462141916638083,0.9462610408872557,0.946263560329766,0.9462480272447877,0.9461911746608261,0.9462466242631605,0.9462188362268943,0.9463005053168752,0.9463119301515301,0.946289141712974,0.9462041411392863,0.9462353979798475,0.9462697171773866,0.9462299079628106,0.9463056493962605,0.9463155887217567,0.9462571484077557,0.9463297439236741,0.9463496440366644,0.9463442328711703,0.9462829940163987,0.9463089727587694,0.9463128957667307,0.946297320970535,0.9462265494705651,0.946252929633814,0.9462589080298525,0.9462630435636784,0.9461959368473586,0.9462243720779615,0.9462249126074692,0.9461819352485755,0.9462105277381172,0.9462227278359109,0.946212910749193,0.9460650012823105,0.9460851070081676,0.9460749124724869,0.9460196249064983,0.946064380869581,0.94608660794059,0.9459979083816727,0.9461092589356433,0.9461058405014382,0.9460340481056223,0.9461015954737302,0.9460797645776269,0.9461365165411985,0.9461664690883955,0.9461523214114838,0.9461334828454248,0.946040200729677,0.9460950177517361,0.9461033382985917,0.9459628467370639,0.9460319060691191,0.946030414407476,0.946020369325868,0.9460083667421998,0.9459920161512343,0.9459300542858489,0.9460358091526576,0.9460892711834018,0.946119336747247,0.9461096475761788,0.9462501585251969,0.9462848614997105,0.9462423675796715,0.9463047725498709,0.9463243065301384,0.9462331378350015,0.946248307311258,0.9462623909675896,0.9462116636078323,0.9462817298034567,0.9462762550932329,0.9462104166352063,0.9462531272840939,0.9462440457786343,0.9461794220982426,0.9462045762780924,0.9462023363250684,0.946147210370474,0.946218740233145,0.9462317296957409,0.9461506916055132,0.946182444633263,0.9461930120946763,0.9460979169057864,0.9461597854499143,0.9461784495802407,0.9461030110134977,0.9461705868466579,0.9461903480750546,0.9461752079247017,0.94608409835255,0.9461273394478126,0.946118894670438,0.9460545186918533,0.9460944809611624,0.9460907311983798,0.9460802138279837,0.9459752942721179,0.9460048870245357,0.9460203262714573,0.9460026215423526,0.9459381601690032,0.9459781578756998,0.945946555498051,0.9459856129459737,0.9459931058566959,0.9459804353741174,0.9458986039117128,0.9459490024284558,0.9459532516525299,0.9459152532880194,0.9459464936445855,0.9459650252502668,0.9458883350569264,0.9459355173200589,0.9459755637031124,0.9458969424537921,0.945917051662235,0.9459142589572062,0.9459003923212842,0.9458245208255105,0.9458340483696572,0.9458378400440808,0.945822000468325,0.9458037778912279,0.9456434784703983,0.9456646061247389,0.9456653963515714,0.945593699471454,0.9456240358818065,0.9456246835588348,0.9456125612682142,0.9455954633665641,0.9454684736772568,0.9455379272545605,0.9455428070290354,0.9455003459871559,0.9455455404397745,0.9455423168239356,0.9455325376537785,0.9455155642023346,0.9453786122305684,0.945416210389224,0.9454077039617657,0.9453226651810421,0.9454016561249121,0.9453355383879027,0.9454343052597676,0.9454418256466302,0.9454455650622182,0.9453898742626057,0.9454892270981474,0.9455526698716178,0.9454737559394,0.9455129151654755,0.9455027288639212,0.9454207902483764,0.9454540970162598,0.9454665003744043,0.9454503722405885,0.945382096744301,0.9454061169374525,0.945392748871184,0.9453355033943301,0.9453947311400592,0.9453997327147046,0.9453131687298955,0.9453408487339479,0.9453423227371419,0.9452681460560322,0.9452958674068326,0.9453058330327043,0.9452487700241319,0.9452600639742905,0.945304261115805,0.9452305300077748,0.9453033071110327,0.945240641175572,0.9453040743241297,0.9452955254551606,0.9452217406471398,0.9452682795786662,0.945254452462903,0.9452118662172725,0.945239870211993,0.9452545427335756,0.9451247337039418,0.9451611357434337,0.9451919656260802,0.9452063956790046,0.9451231997815849,0.945172845890935,0.9451245828149502,0.9451802088107712,0.9452096089006203,0.9451918374380117,0.94510545417629,0.945142022914088,0.945164215269188,0.9451472344317691,0.9450898256135573,0.9451169169197184,0.9451475665611665,0.945133579283181,0.9451156926916857,0.9450300109942529,0.9450873062961332,0.9450903609459979,0.9450724276840379,0.9449781480661966,0.9450934878412063,0.9450987620660479,0.9450443558566004,0.9451128291839354,0.9451207548573165,0.9450583877408213,0.9451197190606412,0.9451137162381829,0.9450961489022572,0.9449895872641357,0.9450096821198367,0.9450285734907088,0.9450168764294684,0.945005029791844,0.9449868792139398,0.9448781540903797,0.9448895877840483,0.9448807284375801,0.9448711892266176,0.9448611235186962,0.9447858409007507,0.9448096760133663,0.944797257316073,0.9447430495300542,0.9448122616317223,0.9447941838261388,0.9446900119296308,0.9447653965821855,0.9447727539329797,0.9447316212292558,0.9447765342352605,0.9447807835090303,0.9447613874224201,0.9446624649750017,0.9447260249771311,0.9447438012201189,0.9446676018301237,0.944681671418492,0.9447279759437007,0.9447632297354053,0.9447347501888775,0.9447786070501883,0.9447751440153896,0.9447569841330389,0.9446708164542371,0.9447435463187625,0.944705512957852,0.944760831319529,0.9447648320077738,0.9446686214371398,0.944705387361307,0.944734679074914,0.9447301520046608,0.9445970070013604,0.9447053012054593,0.9447245860089214,0.9447029165487263,0.9445833932633351,0.9446833117264664,0.9446950986259411,0.9446767487939582,0.9445737293637668,0.9446372655018997,0.9446715832032002,0.94461360885261,0.9446495453546876,0.9446462670266866,0.9446268262570828,0.9445095215578386,0.944517608103786,0.9445268956839464,0.9445104879118041,0.9444048477172748,0.9444549280093597,0.9444565797776807,0.9444080816314412,0.9444592956221428,0.9444784352178629,0.9444012394352481,0.9444630116486279,0.9443888013206169,0.9444657624517124,0.944466222219208,0.9444474597613497,0.9443462681373176,0.944405761782497,0.9443685927845787,0.944445428013842,0.9445166546770432,0.9444476287174113,0.9445059573463016,0.9445432418478483,0.9444592636974355,0.944543740129355,0.9445298563756166,0.9444556397718347,0.9445092064084173,0.9445497825400964,0.9444806184938225,0.9445667590210436,0.9446204315533887,0.9446365591634592,0.9446513920091626,0.9446994517457786,0.9446801768911789,0.9445917062111655,0.9446782075706122,0.944681826593491,0.9446206557086919,0.944655152858119,0.9446485427381827,0.9445934191353681,0.9446201128465487,0.9446062361820539,0.9445877325079941,0.9444406596324778,0.9444844718423483,0.9444416604723287,0.9444605358435916,0.944455124454623,0.9444370122630992,0.9443377261559079,0.9443639075566878,0.9443880929827062,0.9443685839873095,0.9442771527086562,0.9443092966291474,0.9443043436839775,0.9442281603317635,0.9443160174436149,0.9443162814991836,0.9441861708940488,0.9442071869997001,0.9441954413177415,0.9441757832975431,0.9441541434727388,0.9441932681622546,0.9441909021013056,0.9441689271006511,0.9440853588727744,0.9441537010510598,0.9441927972635373,0.9441780909201609,0.9441930960239103,0.9441510033416354,0.9441833604349886,0.9441846006220165,0.9441028753875526,0.94411656792448,0.9441222121213415,0.9441015357596751,0.9440268942244111,0.9441119272752159,0.9441106917808415,0.944089160559779,0.943999508378994,0.9440389572696741,0.9440500028605755,0.9440288683867127,0.9439550127153551,0.9439688347873946,0.9439630760230732,0.9439418562787502,0.9438722973409641,0.9439342170675847,0.9439248440839583,0.9439138512153317,0.9438321502686557,0.9439126300319857,0.9439257051267268,0.9438783827256846,0.9439179096399888,0.9439425593875928,0.9439305657063457,0.9438324015233068,0.9438859334853256,0.9438721280804442,0.9437420261288969,0.9437846408963325,0.9437202439361231,0.9437629165097173,0.9437719333981271,0.9437495087579363,0.9435684768482689,0.9437202683591056,0.9436599522720522,0.9437068981922675,0.9437111647748491,0.943694449287061,0.9436748727177867,0.9435169997236773,0.9435754009216861,0.9434476700829155,0.9435020251570658,0.9434388672716859,0.9434833846762737,0.9434750556592164,0.9434530847265247,0.9433151055517447,0.9433529078712172,0.9433498413451559,0.9432768368292277,0.9433553366447228,0.9433370976849238,0.9432893177258619,0.9433440954605645,0.9434253518610866,0.9434034479471967,0.9433497941281375,0.9434328774936431,0.9433963391767256,0.9434654381462176,0.9434583268533694,0.9433706808368517,0.9434328662359301,0.9433850491537752,0.9434201760861346,0.9433484029646457,0.9433620523796926,0.9433474278084194,0.943246728206117,0.9434043880816122,0.9433549751870589,0.9433932358690648,0.943374058021354,0.9432980180921301,0.9433051139767508,0.9433063334665165,0.9432598651821555,0.9433242250784659,0.9433169592771158,0.9432938870974102,0.9432478725924306,0.9433237622107774,0.9433120051066158,0.9432303376345035,0.9432404116452103,0.943237215424365,0.9432123000390168,0.9433503058250873,0.9433281514829296,0.9432131037276528,0.9432722601168446,0.9432019199696138,0.9432568473472515,0.9432465824399187,0.9432239543877836,0.9430894683851729,0.9431600607153897,0.9432114189529139,0.9431669787611492,0.9432088494484501,0.9432174079234534,0.9432091531487078,0.9431189883427131,0.9431612224369939,0.9431629163806803,0.9430585246460328,0.9431037822842486,0.9430925443853037,0.9430270894516917,0.9430987866561685,0.9430855658507181,0.9429920054033949,0.9430521257944676,0.9430416124736174,0.94290590176886,0.9429617584161633,0.9429467535329131,0.9429241876127555,0.9427855472741291,0.942805718173922,0.9428018408314485,0.9427054119236722,0.942742260003521,0.9426843721423636,0.9427331504640492,0.9427208125985542,0.9426341497276932,0.94264509978471,0.9426552048660017,0.9425444293441718,0.9425754014419462,0.9425538888827311,0.9424629638734213,0.9425000476006118,0.9425324031081586,0.9424144321860658,0.9425296138186148,0.9425353431445924,0.9424823121195651,0.9425449570163563,0.9425882968574009,0.942520711458157,0.9425973905579947,0.9425368644718652,0.9426117581142194,0.9426535122841859,0.9425734252723122,0.942695695155927,0.9425990615098471,0.9426742474808805,0.9427375582721982,0.9426866392848514,0.942782044794544,0.9428348927237227,0.9428207812401708,0.9427119274061265,0.9428728513445772,0.942864168928954,0.9428005940860259,0.9431779130761799,0.9433278295536748,0.9433246075425281,0.9433492051364167,0.9433675037691568,0.9433397661408687,0.9432584242199072,0.943344485095116,0.9433008530162315,0.9433532597871972,0.9433687401194163,0.9433545787701392,0.9432518475476516,0.9433240150729821,0.9433139344369732,0.943253687083399,0.9433264684887223,0.9432632504333966,0.9433330702861953,0.9433655334400274,0.9433620425800804,0.9432567755379956,0.9433034838015845,0.9432768566736265,0.9433594588613762,0.9433656770791169,0.9432398286547877,0.9433398663682345,0.943208634120986,0.9432788851836899,0.9432547129822485,0.9431610810666808,0.9431862098375512,0.9431616489038139,0.9431014347681015,0.9431612190326124,0.943136685072169,0.9431742986812467,0.9432007208785624,0.943108082085116,0.9431238492840641,0.9430357972957779,0.943100651803794,0.9430104181556753,0.9430928508090772,0.9430050678266322,0.9430551035584026,0.9430050589023684,0.9430702767700924,0.9430451715369474,0.9429349666165576,0.9430114210898054,0.9430223292246656,0.9430590494348821,0.9430358158044343,0.9429553696761234,0.9430097800508725,0.9430203065114546,0.9429305045355724,0.943005163681369,0.9429523957467366,0.9429909431087868,0.9429861284358522,0.9429599098737173,0.9428616442132988,0.942921173513533,0.942913709760362,0.9428398795689474,0.9429034158338472,0.9428785473239998,0.9428042502821593,0.9428599954555157,0.9428390845573736,0.9427480784357017,0.9428031989617526,0.9427981428820551,0.9426619199343719,0.9427106511263067,0.9427158765687043,0.942613576212385,0.9426640551202978,0.942573313808492,0.9426089165590754,0.9425287756933614,0.9425480945257498,0.9425246857268444,0.9425998481662143,0.9425019099015942,0.9425823762563276,0.9425637543726408,0.9424481372182857,0.9424626774029436,0.9424697061177495,0.9423997834961505,0.9424453095054734,0.9423769993925896,0.9424489580213856,0.9424269233616135,0.9423742148072232,0.9423852770610597,0.9423815779251506,0.9423561332169845,0.9422394109421739,0.9423038438720304,0.9423134506861329,0.9423030221382395,0.9422119563673551,0.9423236462924375,0.9422557841188727,0.9423039948728904,0.9422850181489173,0.9422584852674944,0.9421463257873313,0.9422161090369947,0.9421618673842496,0.9422709479815943,0.9422707207836145,0.9421818162260234,0.9422769550905454,0.9423304382786181,0.942224907484329,0.9423702525496067,0.9422847865299334,0.9424235758255469,0.942286003470214,0.9423077270828549,0.9422377442593508,0.942285083897754,0.9422657655943326,0.9422107818061104,0.9422564889985136,0.9422298567140655,0.9421229761688193,0.9421704816821015,0.9420901637850272,0.9421738250296808,0.9422071950427338,0.9421473413494996,0.9422174380267996,0.9421873257181099,0.9421123844014508,0.9421440216893513,0.9420226526224569,0.9421311180267997,0.9420529801324503,0.9420957793970672,0.9420846292521329,0.9420399418076147,0.9420896789011982,0.9420469718711736,0.9420951585513904,0.9419981301663412,0.9420618984462408,0.9419658928538291,0.9420666323781443,0.9420289855072463,0.9421124950959338,0.9420516486462336,0.9421139392584728,0.9421054200925836,0.9420198430769461,0.9420645739575358,0.9420992253739542,0.9420323749083235,0.9420439336222307,0.9420269498365967,0.9419337532686298,0.9419926988804325,0.9419899047561818,0.9418475068897489,0.9419284479218857,0.9419278243663431,0.9419015710991661,0.9418061160705011,0.9419418114200191,0.9418455614098528,0.9419231767404767,0.9418445178338041,0.9419046263345195,0.9419056643543882,0.941802796859573,0.9418415417558886,0.9418419970139249,0.9417464801628253,0.9418283288671049,0.9417219910665117,0.941776884091383,0.9417796681546365,0.9417493392576703,0.9416678973017447,0.9416586204844601,0.9416686992611599,0.941682071305865,0.9415962810187913,0.9416587505130246,0.9415103604805376,0.9415458180277734,0.9414467220976714,0.9415882187557564,0.9414930093500065,0.9415319484750296,0.9414490959452331,0.9414554250280444,0.9414397474742554,0.9414226838692572,0.9412229583942191,0.9412201041218147,0.9411160286213476,0.9411664295874822,0.9411466788635681,0.9410274415850854,0.9410869770590922,0.9410182751665546,0.9411228542286074,0.9409991182390086,0.9410780238932224,0.940994269170517,0.9410836777658943,0.9410108732147008,0.941075088411222,0.9410547963459821,0.9409193645879257,0.9410008124190326,0.9409003021268852,0.9409553343670285,0.940888278204856,0.9409530642798306,0.940959661182812,0.9408387775250895,0.9408435572330486,0.9408195883136803,0.9408404749196886,0.9407466582745279,0.9407479093974579,0.9407612255294374,0.9407118463007623,0.9407731316996143,0.9407432613081205,0.940578373745293,0.9406419698891165,0.9405421361753239,0.9405672964302083,0.940546335378915,0.9404393899177165,0.940451359451194,0.9404188605814828,0.9402081606865939,0.9402200571795656,0.9401732761774025,0.9402292705495296,0.940224625709542,0.9400994938682572,0.940159157324704,0.9401130573610174,0.9402043958542156,0.9401794409993114,0.9399628113923315,0.9399743352284289,0.9399425353025622,0.9399105767611826,0.9397891746318054,0.9398127693628656,0.9397351518515582,0.9397625579928927,0.939703764700473,0.9397566173195281,0.9397704564714745,0.9398307799574124,0.9397535802562312,0.9398695936760485,0.9398357974905691,0.9396885521885522,0.9397301406149324,0.9396839181003048,0.9397136795218431,0.9396031863418345,0.9396704646604745,0.9395913476297443,0.9396899855501739,0.9396592477333,0.9395404359443833,0.9395722106981331,0.9395218601325991,0.9395978155572352,0.9395573248543383,0.9396314209188461,0.9396792881605479,0.9396084047624137,0.9396401637485937,0.9395346345853063,0.9395562930661144,0.9395311621840772,0.9393903558658413,0.9394670258268286,0.939391132385191,0.939461612747465,0.9393129292571285,0.9393127517823433,0.9393096226161988,0.9391457005090903,0.9392025257909925,0.9391363149117333,0.9391685939373106,0.9391558003352417,0.9391369880617626,0.9389928126664745,0.9390704025342728,0.938951680028037,0.9390045832045608,0.9388660294334101,0.9389357614234399,0.9387770853455766,0.9388760286079341,0.9388187052330642,0.9388297872340425,0.9387768652108384,0.9388969604620877,0.9388920300218401,0.9389703549375525,0.9389459569262738,0.9389104237241073,0.9389808280077799,0.9389015911322263,0.9389407697174376,0.9389466457434288,0.9388691814323762,0.9389294219092765,0.9388298526966823,0.9388903443071873,0.9385518758429079,0.9386358208551692,0.9385369464353415,0.9385420994634824,0.9384644978783593,0.9384934159127708,0.9383954089733703,0.9384455102378969,0.9382393804805831,0.9382599282092189,0.9381807309212749,0.9382158607915551,0.9381033334782439,0.9381296248809436,0.9380974962715546,0.9378666182249642,0.9379009813468139,0.9380007648254033,0.937961639540781,0.9377935683112656,0.937848559499439,0.9376532911330724,0.9377864988505213,0.9377166493734908,0.9377831477885954,0.9376253037046719,0.9376655285000958,0.9376679707035723,0.9375965110946815,0.9376293535366779,0.9376566724298693,0.9375127701098406,0.9375158624968275,0.9374969137616836,0.9374049217002237,0.9375686414992953,0.9374927735605523,0.9375532766465878,0.9375573009706902,0.9374541391896306,0.9375038490144154,0.9374426528013884,0.9375725176711773,0.9374991091663222,0.9379309032707625,0.9378949698543536,0.9379740081557986,0.93787752998769,0.9380706563264058,0.9381386581958743,0.9381480559518225,0.9380940512196174,0.9381493241752443,0.9380197467721623,0.9380973913210796,0.9380532890461405,0.9381764137695141,0.938209410681444,0.9382513555757096,0.9381168305099092,0.9382157620112489,0.9381590389930647,0.938292286172129,0.9381420982994124,0.9381729589750579,0.9381185887832482,0.9381907979737405,0.9381397744722509,0.9382485304249674,0.9382106387712046,0.9381674067006716,0.9379979786482455,0.9380980905292411,0.9379851252840657,0.9380205359428223,0.9379143542545506,0.9379493607172994,0.9378685726003098,0.937830671456477,0.9379363828722356,0.9378549999627785,0.9381310402897104,0.9380802259493702,0.9381066240044587,0.9382009322523456,0.9381343957980718,0.9382340376097075,0.9381685403093699,0.938206873077568,0.9380543407625973,0.938111558886671,0.9380681732523255,0.9379131065613413,0.9379119646507548,0.9378224739748988,0.9378615418037052,0.937755419641027,0.9377514768926128,0.9376534380262543,0.9377014563230002,0.9376153224453696,0.9376495873233884,0.9375957803200399,0.9376589034325689,0.9375776452971503,0.9376046644610546,0.9375634011912397,0.9376502357742704,0.9375768064886122,0.9375278916240491,0.9376153429551924,0.9374647829342281,0.9375645353582952,0.9375265716913896,0.9374650197694723,0.9374998386842832,0.9373982058374912,0.9374318800208146,0.9374643771308953,0.937347183504384,0.9373626601973017,0.9372929484145764,0.9373119880088684,0.9372196841959871,0.9372291547016133,0.9373322987127334,0.9372370156377567,0.9372942652207729,0.9371601478029015,0.9371301697409218,0.937258882714767,0.9371476442880176,0.9372101545754382,0.9371229581990174,0.9371658001369179,0.9371986171104804,0.9370016477961721,0.9370319819006447,0.9369297718289329,0.9369947105158778,0.9368945887936436,0.9368503187947261,0.9368984615055477,0.9367594441392064,0.936890586565879,0.9369018697233669,0.9367705379387534,0.9367186531318565,0.93683281941713,0.9367066018834713,0.9370249669777614,0.936927923824397,0.9370247960795168,0.9369322119108116,0.9369887080631826,0.9369080620653222,0.9369564802677299,0.93682494340107,0.93686132284575,0.9367548009104679,0.9366478889502899,0.9366892055591041,0.9367691510016768,0.937144340229555,0.9370563402880365,0.9371738040983357,0.9371262794473785,0.9370453196011298,0.9371110747042015,0.9370057715040678,0.9370415630906616,0.9369640045151131,0.9370143092242894,0.9368851290337912,0.9368544863896046,0.9370019368926188,0.9368434072962085,0.936843970932866,0.9367093603836514,0.9367811875712464,0.9366887799250072,0.9367779331269139,0.9367087890292968,0.9368349706195975,0.936737731272403,0.936780825032974,0.9367728133907591,0.9367038817932808,0.9368883563011784,0.9367609166278208,0.936852047972064,0.9367474024633593,0.9367586551207672,0.9366045639190325,0.9366746715963212,0.9366067670950149,0.9366909297582058,0.9366022797867576,0.9366377004381082,0.9365472384394403,0.9365522837931834,0.9364022473607455,0.9364161009434374,0.9362621093249088,0.9362406216896862,0.9363085415540985,0.9362420620533991,0.9363115478482761,0.9363309152357718,0.9362622146731557,0.9363306986740578,0.9362513488005598,0.9362725769337155,0.9362010505012417,0.9362251065912616,0.9360641102952479,0.9360640897445759,0.936062554773917,0.9360623435115635,0.9359925485810564,0.9360129915626094,0.9359447210045323,0.9359520049018296,0.9358204773599752,0.9358671463430641,0.9358829676071055,0.9357705411331162,0.9358503224106071,0.935884869140865,0.9356700522423298,0.9357063303332229,0.9353791509342627,0.9354642212066479,0.9356018893510134,0.9355285456566503,0.9355826169428874,0.9355055680507409,0.9356920236539288,0.9357016527413551,0.9355284562789731,0.9356417460929609,0.9353951657751381,0.9353976640198786,0.9353537156609895,0.9353963301000182,0.9352773080198985,0.9353337022073711,0.9352760024141507,0.935318790387034,0.9351427914691649,0.9351914318135891,0.9351093236378125,0.9350641253452544,0.9351193633952255,0.9351600600225084,0.9351689753121604,0.9351543115968168,0.9353251483656231,0.935338483022381,0.9352522520818756,0.9352078702768236,0.935218539865514,0.9352264748856715,0.9351496048025597,0.9351618653691216,0.9351722429063369,0.9351853029455156,0.9350499138098591,0.9352746783032531,0.9352044042228425,0.9352540520153803,0.9352832597019127,0.9352705943374177,0.9351687645313878,0.9352220093021464,0.9351276809134392,0.9351604579180046,0.9350354609929078,0.9350250300974414,0.9351110249200039,0.9350834765886775,0.9351482275275526,0.9351545038723427,0.9352532022203361,0.9352646312089057,0.9353459791611007,0.9352680391856228,0.9352417165649102,0.9353161601695081,0.9352325075057869,0.9353083830372944,0.9352581931725749,0.9353009958746091,0.9352160943507303,0.9351920808261881,0.9351780377253924,0.9352141523925934,0.9352752307229374,0.935219117169535,0.9352149770792838,0.9351942577947248,0.9352699054433259,0.9352204083670311,0.935214580050701,0.935116324848776,0.9351013519159105,0.9352220489933021,0.9352160359333623,0.9353053876945687,0.9352069037361633,0.9352263778865115,0.9352159468438538,0.9352302773580833,0.9351597525583721,0.9353258902752083,0.9352735029712022,0.935282247808319,0.9352858908034272,0.9352247630049947,0.9350774071828962,0.9350286628222223,0.9350302252472121,0.934961627565281,0.9351170888890409,0.9350321961912591,0.9350442022144022,0.935106620616183,0.9350639076537842,0.9354100541408628,0.9354730766975187,0.9354089042822463,0.935647363872083,0.9356663829080415,0.935785918420369,0.9357185984051967,0.9363224678606059,0.9362517356942255,0.9363300968844389,0.9361692461988447,0.9359479603520825,0.9359242552622975,0.9357860875141376,0.9357628405459328,0.9356927519001317,0.9356754765632195,0.9354592235631939,0.9354027532902353,0.9354195570994974,0.9354308950636016,0.9353651301917675,0.9353747826024721,0.93535191440433,0.9351024811218986,0.9350672264671357,0.9350484586578628,0.9349934885264589,0.9349989528190833,0.9348469712763493,0.9349236772597003,0.9348469569128753,0.9348486774023711,0.9346102966097062,0.9345704301723099,0.9345474367369935,0.9345712893380184,0.9345633519536669,0.9353539884835158,0.9352585053816137,0.9352739587060694,0.9353681425868999,0.9353916481435594,0.9353766302999789,0.9353516638256874,0.9353191931408813,0.9353755645352984,0.9353226987661573,0.9352585487906588,0.9352821250601,0.9352017016830242,0.9349811466294218,0.9349352578433284,0.934909620684735,0.9347061305048739,0.9347708041087832,0.9346794201278619,0.9347698705226349,0.9347272417642718,0.9346446339864576,0.9346670004627627,0.9346632733414743,0.9347177844719574,0.9346356381051885,0.9346060594490369,0.9346405728507583,0.9345643689123299,0.9345926718928066,0.9347850307153861,0.934660633484163,0.9346517096488185,0.9345342723476259,0.9346555638495783,0.934575096326989,0.9344442502282041,0.9345092960945126,0.9344894702012535,0.9344464793671823,0.9343769260175224,0.9343751464317511,0.9342835356912429,0.9342421215504241,0.9343755024884207,0.9346887800586741,0.934664318178244,0.9345918491987502,0.9345644731237083,0.9345399555413414,0.9344717967372308,0.9346643546011687,0.9345795875617904,0.9346002621231979,0.9345642053202613,0.934428972688699,0.9344932693918914,0.934489387296728,0.934501590349877,0.9345036406892077,0.9343598965943577,0.9342777753203878,0.9344109831709477,0.9343960340171698,0.9343306349424138,0.9343621856378144,0.9343905585821696,0.9340732582570989,0.9340523719721563,0.9339950696292426,0.933982232901006,0.9341251462658233,0.9340511605602168,0.9342060984117865,0.9341788903913099,0.9342070072211821,0.93413817390982,0.9339793639062416,0.9340426763229908,0.93418524530427,0.9341039934962587,0.9341051459714538,0.9340054384715646,0.934002851497036,0.9338717903696457,0.9338440607012035,0.9339878514506575,0.9339171540001932,0.933902949507855,0.9338471446430752,0.9339934828154575,0.9340975663287271,0.9339961616827723,0.933950836890967,0.9339784253197191,0.9338696933912172,0.9339664771204859,0.9340038407984773,0.9340016637160591,0.9339742000564214,0.9340474519403599,0.9340151326895227,0.934012482038304,0.9339640467581101,0.9338312848440493,0.9338112007172321,0.9337835505307672,0.9337673952397205,0.9335883517521325,0.9335895144991022,0.9335629857126102,0.933533598902893,0.9334773689494129,0.9334795928624184,0.9335291234090233,0.933438270035164,0.9334430763152697,0.9333620477479695,0.9332625578721548,0.9332921692724987,0.9331547611154576,0.933184509968065,0.9330684542306668,0.9330348210037662,0.9330360325040986,0.9329535358225548,0.9329853993035352,0.9329839833961655,0.9329679159989046,0.9329516036243348,0.9329562431376784,0.9330137288738899,0.9329511600613885,0.9328702970521029,0.9329080719621976,0.9328209223397884,0.932839861148392,0.9329561566271102,0.933003455500728,0.9330556939688868,0.9330805999670347,0.9330900522168075,0.9330132780121076,0.9329749103942653,0.9329064075668911,0.9328296323597162,0.9328280754842311,0.9327359231373273,0.9327825551973133,0.9327784416715301,0.9327045250085789,0.9326600577889681,0.93282811366047,0.9327615604647479,0.9326290015840455,0.9326071998614511,0.9326357831969173,0.9328541448551402,0.9327512190075844,0.932759375868354,0.9327930486303405,0.9327652096688097,0.932708591539968,0.9326869307249755,0.9326380618437348,0.9326776890916002,0.9325973105518268,0.9325917134945261,0.9327293902019932,0.9326799009815822,0.9327321635411581,0.9327585628179739,0.9327964734355192,0.9326460778793261,0.9326236862775333,0.9325825883806692,0.932600615753428,0.9325961235995838,0.9325389710763625,0.9324463336050619,0.9325862898405648,0.9324565802735431,0.9323808873453779,0.9323507716056921,0.9323913607376556,0.9324375333964087,0.9324974708037442,0.9323734987202205,0.9323224505691146,0.9323018938850611,0.9324120167422048,0.9324904142340564,0.932405922055734,0.9322909152417578,0.9323509044622796,0.9322947843090307,0.9322559198588332,0.932191931736239,0.9322034748666697,0.9321624963557951,0.9321269246649144,0.9320124045415976,0.9320432543977665,0.9319256208407726,0.9318458912460376,0.9318599337428183,0.9317049769321847,0.9316942543655681,0.9315998607213813,0.9316558383287268,0.9316419290226491,0.9316953241128879,0.9314646407299978,0.9313886118016756,0.9314207042187912,0.9312628797749252,0.9312417770428035,0.9312197967005499,0.9311218769392832,0.9310928673331278,0.9311128091863544,0.9311051478527028,0.9309857823886427,0.9309884332281808,0.9309763866585937,0.9309435812538553,0.9309953377368752,0.9308654523125136,0.9308945891911098,0.9307981839640195,0.930678929783708,0.930614771375058,0.9308350571118559,0.9307203752891783,0.930831406917932,0.9308688926131237,0.930861421609235,0.9305528518590617,0.9306744441974814,0.9310816829800871,0.9310406835445797,0.9309595799722746,0.9308696531997397,0.930738066652413,0.9307455803228286,0.9306944306944307,0.9306184510627046,0.9305569360235895,0.9305403462197888,0.930394521611356,0.9305510813903114,0.930630114429715,0.9305449498637207,0.9304554880468623,0.9304424253620632,0.9304337587189091,0.9303616163204781,0.9303773946144404,0.9303377256867992,0.9302760800366373,0.9301883160266791,0.9300738959558552,0.9299372835771673,0.9298203606469525,0.9298161470823342,0.9298172377510407,0.9297068538398018,0.9296437103739777,0.9297354509528712,0.9297364251764367,0.9295632226414658,0.9294928954408069,0.9294106043640457,0.9294214722357809,0.9293105757528112,0.9293195091924313,0.9292814192801921,0.9291286015460295,0.9290315389308678,0.9289554869986778,0.9289270790418457,0.9288720439487893,0.928854805001594,0.9287597852564861,0.9285870924533111,0.9284929733837595,0.928505587173586,0.9284249800336151,0.9283572819244873,0.9282697140122054,0.9281318602224061,0.9281009219525681,0.9282110561234933,0.928197984695262,0.928166682775952,0.9282237264328009,0.9281055665099348,0.9282506032297865,0.928379201169021,0.9282678034530496,0.9282649880828698,0.9282404431793836,0.9282436660327588,0.9281271129141312,0.9280716450269777,0.9280317993284614,0.9280816624314482,0.9279937579728273,0.9279573760730412,0.9279377228842307,0.9279588763177875,0.9278470676963543,0.9279028964966065,0.9278889771810065,0.9278520440458508,0.9276501866727005,0.9276944580862075,0.9276682160178101,0.9274539945217265,0.9273747622067217,0.9274120227612296,0.9272618280838473,0.9271986543614933,0.9271894419885963,0.9272754112459646,0.9272236330322414,0.9271695512428262,0.9270884409920256,0.926969559878498,0.9270193976122031,0.926972741246133,0.9269912223139046,0.9268681583297539,0.9269725560257421,0.9269017497338498,0.9268433104350671,0.9267317648600826,0.9268585761750299,0.9267339500243431,0.9266916673806589,0.926906261969859,0.9268226530922754,0.9268355722266772,0.9268007700989179,0.9267468693680213,0.9267844174534116,0.9266684463427656,0.9266124392952225,0.9265646153639934,0.92657150147045,0.9266043320328265,0.926562889753322,0.9265485590009254,0.9263710223425863,0.9262822035911884,0.9262203664159515,0.9261257578854145,0.9260444674955983,0.9259945444477108,0.9259629677834786,0.9258832249032364,0.9259086096175795,0.9259011786100529,0.9258505279138776,0.9257868939723887,0.9257268710262768,0.9255963742113702,0.9255039439088519,0.9255026307536848,0.9254550405295017,0.9252263798138538,0.9252775165948609,0.9254157437682382,0.9254348576541288,0.925336476367255,0.9251981587674206,0.9252693999872473,0.9253664532723229,0.9251420383663984,0.925048563103468,0.9249933815585177,0.924753257007501,0.9246966940187413,0.9247076286758082,0.9245778991001921,0.9244768300095516,0.9243399591144361,0.924336299255493,0.9241973797344759,0.9241913918945577,0.9242155814872839,0.9241797264776662,0.9242164697579015,0.9242597272466053,0.9241682721763329,0.924056063015421,0.9240597324637788,0.9239479917725419,0.9238758444186531,0.9239411628756533,0.924053375571561,0.9239753806478698,0.9242832988916024,0.9241823662396382,0.9246401994484947,0.9249252205520427,0.924755512361052,0.9246675951929736,0.9246621312425638,0.9247519757861107,0.924756054594752,0.9246477576204071,0.9246198690980688,0.9246385300736812,0.9244903951659017,0.9244862244660916,0.9244085445812674,0.9243570700904418,0.9244191936904289,0.9243805105857914,0.9241961263632945,0.9242003109247656,0.9243281526657485,0.9243302497614372,0.9241648089297855,0.924267275190758,0.9240946632782719,0.9241698239358146,0.9241759469032196,0.9243575186707393,0.9242690128769121,0.9241743852574247,0.9240222923780684,0.9240560479119247,0.9239597581604655,0.9238405761837559,0.9238099109719907,0.9238630806845965,0.9239365743274706,0.9242727034464684,0.9241078027229878,0.9239948610676462,0.9240056524721302,0.9238356527721369,0.9237132429354107,0.9239013576244489,0.9236455467567545,0.9239882284880649,0.9247531580629426,0.9246264191017202,0.9244089694591944,0.9245628459302079,0.9245007223591399,0.9242970070512712,0.9241207967444849,0.9241562902533276,0.9239356066805055,0.92407129164292,0.9239212356951652,0.9239947126756644,0.9239868411842934,0.9240072265487967,0.9240182503890075,0.9238922614694661,0.9237051440692947,0.9235644512205932,0.9237154079945968,0.9236917374297196,0.9238175267961704,0.924325293642966,0.9246115946198662,0.9246585838554108,0.9246282485875706,0.9255848974445039,0.9258710088237969,0.9271560068670782,0.9271615336726846,0.9269472309828333,0.9270667195235505,0.9272844927201295,0.9272112310614836,0.9276514623145953,0.9280005222760043,0.9278308105126359,0.9278537015166001,0.927753974517984,0.9277786153092376,0.9277078823740701,0.927616430568058,0.9275048444089821,0.9274790612583255,0.9274476275995147,0.9272819560033327,0.9272060447209501,0.9271015803961578,0.9273436594692727,0.9273915569326103,0.9275761959782893,0.927987066110873,0.9278000195293429,0.9282724822347463,0.928508931468064,0.9285897360067822,0.9286427392331491,0.9286592134475103,0.9289072673233865,0.9287373974091766,0.9285971366871951,0.928675341874768,0.9289157232704403,0.9291308384804812,0.9287869398701708,0.9286041936371698,0.9288204561952377,0.9289894654701522,0.9288745159429843,0.9289875431239284,0.9289679744790156,0.9289157127126919,0.9290939023881966,0.928919263485694,0.928830547925098,0.9287418917356154,0.9285465723233963,0.9284173574691253,0.9284714416000339,0.9284741868924294,0.928297942685281,0.9282052379780164,0.928490132497262,0.9284183777847168,0.9285158865585244,0.928429014151659,0.9286389773579573,0.9285963458771203,0.9289800382827454,0.9291098407961291,0.9291924233909623,0.9294289314850435,0.9295948013928009,0.9293526686269269,0.9298928048466965,0.9298568209084079,0.9297331953567893,0.9296001986590514,0.929628497344792,0.9293981218308738,0.9293281786353735,0.9291800578728855,0.9290376607435789,0.9288664419415331,0.9288228302387574,0.9289931922382253,0.9288733539261909,0.9288077156035969,0.9286365336075535,0.9285479863097191,0.9285789875948027,0.9287517697026899,0.9287176756021066,0.928592627767555,0.9284140838026743,0.9283564261825131,0.9282726717081531,0.9283352371791018,0.9282879579257186,0.9282956759569653,0.9282470922468009,0.9281877641499092,0.9279243989619547,0.9277566072526122,0.9276949449356864,0.927931384440209,0.9277307377150945,0.9277306733167082,0.9279525192827808,0.9275948537657984,0.9273471767957202,0.9272114467408585,0.9270790764201062,0.9268552506609852,0.927098228663446,0.9269182503848791,0.9267247536066276,0.9266802178615172,0.926452709327407,0.9266247654538059,0.9272173592069184,0.927262859714611,0.9283242379874883,0.9282680131441853,0.9283999946367038,0.9283724685460539,0.9285077529850343,0.9285898287620158,0.9283955320335777,0.9283645702420633,0.9284343032663248,0.9283679451715453,0.9283780423792027,0.9282573414157107,0.928250184491569,0.9283248305262423,0.9281075090830025,0.9280223029483822,0.9283441966999872,0.9282622578585114,0.928126824960474,0.9279329529039917,0.9276398942893255,0.9275899358373585,0.9277162504524068,0.9276474521089503,0.9275449014429741,0.9284080579421166,0.9288123113172815,0.9290309223466083,0.9288450118764846,0.9292224161334109,0.9292089735525804,0.9292513119708885,0.9293490570311203,0.9288543594292443,0.9289905382157778,0.9289041053638074,0.9287594450637929,0.9288636540406005,0.9286350217890446,0.9282938724140644,0.9286052980969842,0.9283662620011108,0.9281514412734835,0.9280879458499351,0.927961124430785,0.9278883558091287,0.9284015378600287,0.9282201750647477,0.9283067955409923,0.9286068828590337,0.9283886618150401,0.9281673925013766,0.9279597821533305,0.9276056243045486,0.9274066548133096,0.9271938775510205,0.927010915053892,0.9268409855191819,0.9269811158058119,0.9267451931404815,0.9265678290526902,0.9264425682171762,0.9261281826163301,0.9258148723013969,0.9257966185800872,0.9257643476557631,0.9256065268732556,0.925639596555258,0.9255392174572781,0.9255695742942724,0.9257029211597059,0.92566650775606,0.9254776248641279,0.9255082768581269,0.9252637258367598,0.9252492005012063,0.9255589192035049,0.9260590015128594,0.9263604213408374,0.9270905056996405,0.9271650515305337,0.9277269297006521,0.9275170656761119,0.9274370208105148,0.9274065039050973,0.9272845927185714,0.9269785745518146,0.9272730908436482,0.9269758931982226,0.9270580624292415,0.92680299211318,0.9267579123959164,0.9265743617174481,0.9268055325492794,0.9273725522942675,0.9273597581457843,0.9278139259760013,0.9277761251115549,0.927946991557123,0.9281398499150666,0.9285343147867504,0.9282581658702624,0.927997188419804,0.9279874491780096,0.9281122800774039,0.9281670284422763,0.9278890670521015,0.9279383692391601,0.928189055636896,0.9281731035118445,0.9287272052340959,0.9288749824872741,0.9292010436499542,0.929993607803215,0.9302203567681008,0.9349110998528383,0.934926184926185,0.9351881280101704,0.9356641634863967,0.9357773150902241,0.93603214615519,0.93600824079192,0.9363102470635885,0.9365079365079365,0.9373055262684188,0.9387448132780083,0.938699220996497,0.9389399404934305,0.9388572186132839,0.9388545925866538,0.9388957984102093,0.9390390063194596,0.9391569240902354,0.9398533683773689,0.9402136025208444,0.9400938492230746,0.9406364228840214,0.9413966512372135,0.9435018467220684,0.9436328716098242,0.9452163440354845,0.9467591214808643,0.9486038892729404,0.9487584238965454,0.9496171516079632,0.9506367457962414,0.9506142046517428,0.9509717592301402,0.9520942825290651,0.9520092512286789,0.951838056680162,0.9516677567037279,0.9521185322069694,0.9522905846317752,0.9535243475921442,0.9541997691315272,0.954241645244216,0.9542090336861037,0.9553777342931022,0.9564357833792275,0.956907929939714,0.9569257365122812,0.9579115997961115,0.9593947872183772,0.9594850998921091,0.9605099853322803,0.9607537707533909,0.9607353957165886,0.9608871280975686,0.9604870384917518,0.9605524247956188,0.9604218461785228,0.9610252666585554,0.960185799601858,0.9601727246048715,0.9597847275192813,0.9594791398954853,0.9590422998657835,0.9588879159369527,0.958423828730996,0.9583856502242153,0.9581745599709671,0.9578609134725729,0.9579613095238095,0.9580584354382657,0.9579434790910827,0.9580835428350416,0.9579478141675234,0.9577541699761716,0.9577068141815439,0.9573076526933773,0.9581633720322142,0.9582670484674939,0.9580532401183114,0.9586334861383977,0.9581696453272838,0.9580690429413415,0.9575291773413037,0.9570289938777867,0.9566236811254396,0.9563768374694995,0.9561827632056086,0.956041257367387,0.9573147799924784,0.9570235286616081,0.957136372479087,0.9573738040250742,0.9570412135857163,0.9570950331352053,0.9572173913043478,0.9578074032052191,0.9581556695815567,0.9588707894154935,0.9587466185752931,0.9580939247682525,0.9584017515051998,0.9590288315629742,0.9584150326797386,0.9594718810061001,0.9601675356868108,0.9608923884514435,0.9607053347654851,0.9612175667002842,0.9610328638497653,0.9616681113358374,0.9619452406839972,0.961569661326303,0.9624569819584942,0.9620497427101201,0.9624765478424016,0.9628240109140518,0.9636576787807737,0.9631375392796713,0.9625888514777403,0.9631253223310985,0.9630568151507068,0.9635107118175535,0.964004015488312,0.9630622579684242,0.9619018119869909,0.9623829512431386,0.9611176569601078,0.961443661971831,0.9628671716238685,0.9633152173913043,0.9624183006535948,0.961853448275862,0.9601185050136737,0.9588477366255144,0.9586776859504132,0.9579529737206086,0.9654447115384616,0.9660906423214868,0.9692527708258849,0.9677546205269367,0.9672059466550066,0.9650418513047759,0.964712578258395,0.9600532623169108,0.952,0.9446122860020141,0.9438202247191011,0.9633867276887872,0.9717514124293786]},{\\\"line\\\":{\\\"color\\\":\\\"rgba(150, 0, 0, 1)\\\",\\\"width\\\":1},\\\"name\\\":\\\"CNN\\\",\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.9179492347319244,0.9178448341885579,0.9177428521905975,0.9176420794653403,0.917540903649182,0.9174405340148257,0.9173385520168653,0.9172381823825091,0.9171349911118456,0.9170346214774894,0.9169342518431332,0.9168294482088656,0.9167274662109052,0.916626290394747,0.9165255176694896,0.9164251480351334,0.9163243753098761,0.9162236025846189,0.9161228298593616,0.9160220571341043,0.915920478227045,0.9158201085926887,0.9157197389583325,0.9156193693239763,0.91551899968962,0.9154186300552638,0.9153146326027982,0.915214262968442,0.9151138933340858,0.9150135236997295,0.9149131540653733,0.9148099627947098,0.9147063684331453,0.9146055957078881,0.9145052260735318,0.9144048564391756,0.9143016651685122,0.9142008924432549,0.9140993135361956,0.9139989439018393,0.9138953495402748,0.9137945768150175,0.9136942071806613,0.9135938375463051,0.9134930648210478,0.9133910828230875,0.9132895039160281,0.9131887311907708,0.9130883615564146,0.9129879919220584,0.9128864130149991,0.9127844310170387,0.9126832552008803,0.9125828855665241,0.9124780819322565,0.9123777122979003,0.912276536481742,0.9121729421201775,0.9120725724858213,0.911971396669663,0.9118710270353068,0.9117702543100494,0.9116698846756932,0.911569515041337,0.9114691454069808,0.9113683726817234,0.9112675999564662,0.9111672303221099,0.9110656514150506,0.9109652817806944,0.9108632997827341,0.9107629301483777,0.9106625605140215,0.9105613846978632,0.9104598057908039,0.9103582268837446,0.9102578572493883,0.910157487615032,0.9100571179806758,0.9099567483463196,0.9098563787119633,0.9097560090776071,0.9096556394432509,0.9095552698088946,0.9094549001745383,0.9093541274492811,0.9092537578149248,0.9091533881805686,0.9090530185462123,0.9089526489118561,0.9088522792774999,0.9087519096431437,0.9086511369178863,0.9085507672835301,0.9084503976491739,0.9083500280148176,0.9082488521986594,0.908148079473402,0.9080477098390458,0.9079469371137885,0.9078356840251045,0.907731686572639,0.9076305107564807,0.9075281256676193,0.9074257405787579,0.9073249678535007,0.9072241951282434,0.9071206007666789,0.9070202311323227,0.9069186522252634,0.906817879500006,0.9067175098656498,0.9066171402312936,0.9065159644151353,0.906415594780779,0.9063124035101155,0.9062112276939572,0.9061104549687,0.9060100853343438,0.9059093126090865,0.9058073306111261,0.9057053486131658,0.9056049789788095,0.9055046093444533,0.905404239710097,0.9053030638939388,0.9052006788050774,0.905100309170721,0.9049999395363648,0.9048987637202065,0.9047979909949493,0.9046952028151869,0.9045920115445234,0.9044912388192662,0.9043904660940089,0.9042900964596526,0.9041897268252964,0.904087744827336,0.9039841504657715,0.9038829746496132,0.9037809926516529,0.9036794137445936,0.9035790441102373,0.90347827138498,0.9033779017506238,0.9032775321162675,0.9031751470274062,0.9030747773930499,0.9029740046677927,0.9028728288516343,0.902771653035476,0.9026704772193177,0.9025701075849615,0.9024697379506053,0.902368159043546,0.9022677894091896,0.9021670166839324,0.9020662439586751,0.9019658743243189,0.9018626830536555,0.9017623134192991,0.9016611376031409,0.9015607679687846,0.9014591890617253,0.9013584163364681,0.9012580467021118,0.9011576770677555,0.9010573074333993,0.9009565347081421,0.9008557619828848,0.9007541830758254,0.9006538134414692,0.900553443807113,0.9004526710818557,0.9003514952656974,0.9002289556317845,0.9001281829065273,0.9000237823631607,0.8999234127288045,0.8998230430944483,0.89972186727829,0.8996210945530326,0.899515081646062,0.8994135027390027,0.8993131331046464,0.8992127634702902,0.8991123938359339,0.8990116211106767,0.8989100422036174,0.898807254023855,0.8987068843894986,0.8986065147551424,0.8985053389389841,0.8984021476683207,0.8983001656703603,0.8981981836724,0.8980925738563303,0.897990994949271,0.8978906253149148,0.8977902556805585,0.8976878705916971,0.8975870978664399,0.8974859220502815,0.8973851493250243,0.897283973508866,0.8971823946018066,0.8970816218765494,0.8969772213331828,0.8968768516988266,0.896771241882757,0.8966700660665987,0.8965672778868362,0.89646690825248,0.8963665386181238,0.8962661689837675,0.8961657993494113,0.8960638173514509,0.8959634477170947,0.8958630780827385,0.8957627084483822,0.8956575017232136,0.8955559228161543,0.895455553181798,0.8953551835474418,0.8952548139130856,0.8951540411878283,0.89505286537167,0.8949524957373137,0.8948521261029575,0.8947509502867992,0.894650580652443,0.8945502110180867,0.8944482290201263,0.8943478593857701,0.8942474897514139,0.8941471201170575,0.8940463473918003,0.8939431561211368,0.8938427864867806,0.8937424168524244,0.893640031763563,0.8935396621292068,0.8934388894039494,0.8933381166786922,0.8932373439534349,0.8931365712281777,0.8930362015938215,0.8929358319594651,0.8928354623251089,0.8927350926907527,0.8926347230563965,0.8925343534220402,0.8924295497877727,0.8923291801534164,0.8922284074281591,0.8921280377938029,0.8920276681594467,0.8919252830705853,0.891824510345328,0.8917221252564665,0.8916217556221103,0.8915213859877541,0.8914210163533979,0.8913206467190417,0.8912202770846853,0.8911191012685271,0.8910187316341708,0.8909179589089136,0.8908175892745573,0.890716413458399,0.8906160438240428,0.8905156741896865,0.8904153045553302,0.8903129194664688,0.8902121467412116,0.8901117771068554,0.890009795108895,0.8899074100200336,0.8898062342038753,0.8897058645695191,0.8896054949351628,0.8895051253008066,0.8894047556664504,0.8893039829411931,0.8892036133068368,0.8891032436724806,0.8890008585836192,0.8889000858583619,0.8887997162240057,0.8886989434987485,0.8885985738643921,0.8884978011391349,0.8883974315047787,0.8882966587795214,0.8881962891451651,0.8880955164199078,0.8879951467855516,0.8878947771511954,0.8877944075168391,0.8876940378824829,0.8875928620663246,0.8874920893410673,0.88739131661581,0.8872909469814538,0.8871905773470975,0.8870889984400382,0.8869878226238799,0.8868850344441175,0.8867846648097613,0.8866826828118008,0.8865823131774446,0.8864811373612863,0.8863807677269301,0.8862783826380687,0.8861780130037125,0.8860776433693562,0.885977273735,0.8858769041006438,0.8857765344662875,0.8856749555592281,0.8855745859248719,0.8854742162905157,0.8853718312016543,0.885270252294595,0.8851694795693377,0.8850691099349814,0.88496672484612,0.8848663552117638,0.8847651793956055,0.8846648097612493,0.8845628277632889,0.8844624581289326,0.8843616854036754,0.8842609126784181,0.8841601399531608,0.8840597703188046,0.8839594006844483,0.88385822486829,0.8837554366885276,0.8836502299633591,0.8835498603290028,0.8834482814219434,0.883345896333082,0.8832447205169238,0.8831443508825675,0.8830431750664093,0.8829359528867355,0.8828351801614782,0.8827344074362209,0.8826340378018647,0.8825332650766075,0.8824320892604491,0.8823313165351918,0.8822305438099346,0.8821293679937763,0.8820221458141025,0.8819213730888452,0.8818185849090828,0.8817182152747266,0.8816174425494693,0.8815162667333111,0.8814158970989547,0.8813155274645985,0.8812139485575392,0.881113578923183,0.8810120000161237,0.8809084056545592,0.8808072298384009,0.8807040385677374,0.8806028627515791,0.8805024931172228,0.8804021234828666,0.8803009476667083,0.8802005780323521,0.8801002083979959,0.8799994356727385,0.8798990660383823,0.879797890222224,0.8796967144060657,0.8795931200445012,0.8794899287738378,0.8793883498667785,0.879284755505214,0.8791843858708578,0.8790836131456005,0.8789832435112442,0.878882873876888,0.8787804887880266,0.8786801191536704,0.87857813715571,0.8784777675213538,0.8783773978869975,0.8782770282526412,0.878176658618285,0.8780762889839288,0.8779747100768694,0.8778739373516121,0.8777735677172559,0.8776727949919987,0.8775724253576423,0.8774720557232861,0.8773716860889299,0.8772713164545737,0.8771709468202175,0.8770705771858612,0.8769698044606039,0.8768690317353467,0.8767686621009904,0.8766682924666341,0.8765667135595748,0.8764651346525155,0.8763643619272582,0.8762579459293866,0.8761563670223272,0.8760559973879709,0.8759556277536147,0.8758552581192585,0.8757540823031001,0.8756500848506347,0.8755497152162784,0.875447330127417,0.8753465574021597,0.8752457846769025,0.8751454150425463,0.87504504540819,0.8749442726829327,0.8748430968667744,0.874740711777913,0.8746399390526558,0.8745387632364975,0.8744383936021413,0.8743380239677849,0.8742376543334287,0.8741368816081715,0.8740353027011122,0.8739349330667558,0.8738341603414986,0.8737337907071424,0.8736330179818851,0.8735318421657268,0.8734314725313705,0.873328281260707,0.8732275085354498,0.8731271389010936,0.8730263661758363,0.8729255934505791,0.8728252238162229,0.8727236449091634,0.8726228721839062,0.87252250254955,0.8724213267333917,0.8723209570990355,0.872217362737471,0.8721165900122136,0.8720158172869564,0.871913835288996,0.8718130625637387,0.8717126929293825,0.8716123232950262,0.871511550569769,0.8714107778445117,0.8713104082101555,0.8712088293030962,0.8711076534869379,0.8710072838525816,0.8709069142182253,0.8708061414929681,0.8707057718586119,0.8706054022242556,0.8705050325898993,0.8704042598646421,0.8703034871393848,0.8702031175050285,0.8701027478706723,0.870001572054514,0.8698971715111474,0.8697968018767912,0.869696432242435,0.8695956595171778,0.8694940806101183,0.86939290479396,0.8692921320687028,0.8691905531616435,0.8690901835272873,0.868989813892931,0.8688866226222676,0.8687862529879113,0.868685883353555,0.8685851106282978,0.8684799039031292,0.8683791311778719,0.8682787615435157,0.8681771826364564,0.8680768130021002,0.8679764433677438,0.8678760737333876,0.8677757040990314,0.8676753344646752,0.8675745617394178,0.8674741921050616,0.8673738224707054,0.867271034290943,0.8671706646565867,0.8670702950222304,0.8669699253878742,0.8668683464808149,0.8667663644828545,0.8666655917575973,0.866565222123241,0.8664648524888847,0.8663644828545285,0.8662641132201723,0.8661633404949151,0.8660621646787567,0.8659617950444005,0.8658614254100442,0.865761055775688,0.8656606861413317,0.8655603165069755,0.8654555128727079,0.8653547401474506,0.8652539674221934,0.8651535977878372,0.8650528250625799,0.8649520523373226,0.8648516827029663,0.864750103795907,0.8646497341615508,0.8645493645271946,0.8644489948928383,0.864348625258482,0.8642482556241258,0.8641462736261655,0.8640459039918091,0.8639455343574529,0.8638399245413834,0.863737539452522,0.8636367667272646,0.8635327692747992,0.8634323996404429,0.8633320300060867,0.8632312572808294,0.8631292752828691,0.8630289056485128,0.8629277298323544,0.8628269571070972,0.8627257812909389,0.8626250085656817,0.8625242358404244,0.8624238662060681,0.8623234965717119,0.8622227238464546,0.8621203387575932,0.862019566032336,0.8619191963979798,0.8618188267636234,0.8617184571292672,0.8616156689495048,0.8615148962242475,0.8614117049535841,0.8613105291374258,0.8612101595030696,0.8611097898687133,0.861009420234357,0.8609090506000008,0.8608086809656446,0.8607079082403873,0.8606055231515259,0.8605051535171696,0.8604047838828134,0.8602967555213377,0.8601963858869813,0.8600960162526251,0.8599948404364668,0.8598900368021992,0.8597872486224368,0.8596848635335754,0.8595844938992192,0.859483721173962,0.8593833515396057,0.8592821757234475,0.859180596816388,0.8590802271820318,0.8589798575476756,0.8588790848224183,0.858778715188062,0.8586783455537058,0.8585779759193496,0.8584763970122903,0.8583736088325278,0.8582720299254685,0.8581696448366071,0.8580692752022508,0.8579664870224885,0.8578653112063301,0.8577645384810728,0.8576633626649146,0.8575625899396573,0.8574602048507959,0.8573598352164397,0.8572586594002813,0.857157483584123,0.8570555015861627,0.8569478763155879,0.8568475066812317,0.8567467339559744,0.8566463643216181,0.8565455915963609,0.8564424003256974,0.8563420306913412,0.856241257966084,0.8561396790590245,0.8560393094246683,0.8559365212449059,0.8558361516105497,0.8557353788852924,0.8556333968873321,0.8555330272529759,0.8554322545277185,0.8553318848933623,0.8552286936226988,0.8551283239883426,0.8550279543539864,0.854927181628729,0.8548268119943728,0.8547207990874022,0.854620429453046,0.8545200598186897,0.8544196901843335,0.8543193205499773,0.854218950915621,0.8541185812812647,0.8540182116469085,0.8539158265580471,0.8538154569236909,0.8537150872893347,0.8536135083822752,0.853513138747919,0.8534107536590576,0.8533095778428994,0.8532088051176421,0.8531064200287807,0.8530060503944245,0.8529032622146621,0.8528024894894047,0.8526964765824341,0.8525957038571769,0.8524953342228205,0.8523949645884643,0.8522945949541081,0.8521942253197519,0.8520938556853956,0.8519934860510394,0.8518931164166831,0.8517927467823269,0.8516923771479706,0.8515907982409113,0.8514904286065551,0.8513888496994957,0.8512884800651395,0.8511881104307832,0.8510816944329116,0.8509813247985554,0.850879745891496,0.8507793762571397,0.850671750986565,0.8505713813522088,0.8504710117178524,0.8503694328107931,0.8502686600855359,0.8501682904511797,0.8500667115441203,0.84996472954616,0.8498631506391007,0.8497627810047443,0.8496624113703881,0.8495620417360319,0.8494616721016757,0.8493613024673194,0.8492605297420621,0.8491589508350028,0.8490585812006466,0.8489582115662904,0.8488526017502207,0.8487514259340624,0.8486510562997062,0.8485502835744488,0.8484487046673895,0.8483483350330333,0.848246756125974,0.8481463864916178,0.8480456137663605,0.8479444379502021,0.8478440683158459,0.8477436986814897,0.8476433290471335,0.8475429594127771,0.8474425897784209,0.8473410108713616,0.8472398350552033,0.8471390623299461,0.8470386926955897,0.8469383230612335,0.8468375503359763,0.846736777610719,0.8466360048854618,0.8465328136147983,0.8464304285259369,0.8463300588915806,0.8462288830754223,0.8461281103501651,0.8460273376249078,0.8459269679905516,0.8458265983561953,0.845725825630938,0.8456254559965818,0.8455250863622256,0.8454235074551663,0.8453223316390079,0.8452207527319486,0.8451191738248892,0.8450179980087309,0.8449164191016716,0.8448156463764144,0.8447152767420582,0.8446141009258998,0.8445137312915435,0.8444129585662863,0.8443089611138208,0.8442081883885635,0.8441074156633063,0.8440070460289499,0.8439062733036927,0.8438050974875344,0.8437047278531782,0.8436039551279209,0.8435035854935646,0.8433999911320001,0.8432976060431387,0.8431972364087825,0.8430940451381191,0.8429928693219608,0.8428924996876046,0.8427921300532483,0.842691760418892,0.8425913907845358,0.8424894087865754,0.8423878298795161,0.8422870571542589,0.8421858813381006,0.8420855117037443,0.841985142069388,0.8418847724350318,0.8417844028006756,0.8416828238936163,0.8415816480774579,0.8414800691703986,0.8413796995360424,0.8412789268107851,0.8411785571764289,0.8410781875420726,0.8409778179077164,0.840875835909756,0.8407738539117956,0.8406734842774394,0.8405731146430832,0.8404727450087269,0.8403723753743707,0.8402639439219939,0.8401635742876377,0.8400628015623803,0.839962028837123,0.8398616592027668,0.8397612895684106,0.8396609199340543,0.839558131754292,0.8394573590290346,0.8393569893946784,0.8392566197603222,0.8391554439441639,0.8390550743098076,0.8389434181302226,0.8388402268595591,0.8387394541343018,0.8386386814090445,0.8385383117746883,0.8384375390494311,0.8383367663241738,0.8382363966898175,0.8381360270554613,0.8380356574211051,0.8379348846958478,0.8378345150614915,0.8377341454271353,0.837632969610977,0.8375321968857197,0.8374314241604625,0.8373290390716011,0.8372286694372448,0.8371262843483834,0.8370259147140272,0.8369255450796709,0.8368247723544137,0.8367244027200574,0.8366236299948001,0.8365232603604439,0.8364228907260877,0.8363225210917314,0.836220942184672,0.8361153323686025,0.8360149627342462,0.8359145930998899,0.8358142234655337,0.8357138538311775,0.8356130811059201,0.8355127114715639,0.8354123418372077,0.8353115691119505,0.8352111994775941,0.8351104267523369,0.8350096540270796,0.8349084782109213,0.8348081085765651,0.8347069327604068,0.8346057569442485,0.8345049842189912,0.834404614584635,0.8343026325866746,0.8342022629523184,0.8341018933179621,0.8340015236836059,0.8339011540492497,0.8338003813239924,0.8337000116896361,0.8335984327825768,0.8334980631482205,0.8333976935138643,0.8332969207886071,0.8331965511542508,0.8330961815198945,0.8329958118855383,0.8328954422511821,0.8327950726168258,0.8326934937097665,0.8325931240754102,0.832492351350153,0.8323915786248957,0.8322912089905394,0.8321904362652822,0.8320896635400249,0.8319884877238666,0.8318877149986094,0.831786539182451,0.8316853633662927,0.8315849937319365,0.8314846240975803,0.831384254463224,0.8312838848288677,0.8311819028309074,0.8310811301056501,0.8309799542894918,0.8308787784733335,0.8307776026571753,0.8306768299319179,0.8305764602975617,0.8304760906632055,0.8303753179379482,0.8302588246675507,0.8301584550331945,0.8300572792170362,0.82995690958268,0.8298565399483238,0.8297400466779263,0.8296392739526691,0.8295316486820943,0.829430069775035,0.8293297001406787,0.8292281212336194,0.8291213021448467,0.8290209325104905,0.8289205628761342,0.8288201932417779,0.8287194205165207,0.8286190508821645,0.8285186812478081,0.8284183116134519,0.8283171357972936,0.8282167661629374,0.8281163965285812,0.8280160268942249,0.8279140448962645,0.8278136752619083,0.82771249944575,0.8276113236295917,0.8275109539952354,0.827408165815473,0.8273077961811168,0.8272070234558595,0.8271066538215033,0.8270062841871471,0.8269059145527908,0.8268051418275335,0.8267043691022763,0.826603596377019,0.8265032267426627,0.8264028571083065,0.8263016812921482,0.8262005054759899,0.8260940894781182,0.8259925105710588,0.8258905285730985,0.8257901589387423,0.825689386213485,0.8255886134882278,0.8254882438538715,0.8253878742195152,0.8252866984033569,0.8251863287690007,0.8250859591346444,0.82498236477308,0.8248815920478227,0.8247808193225654,0.8246804496882092,0.8245764522357437,0.8244752764195854,0.8243741006034271,0.8242737309690709,0.8241733613347146,0.8240729917003583,0.8239718158842001,0.8238714462498438,0.8237710766154875,0.8236703038902303,0.823569531164973,0.8234691615306168,0.8233683888053595,0.8232676160801022,0.823167246445746,0.8230668768113898,0.8229612669953201,0.8228600911791618,0.8227597215448056,0.8226593519104494,0.822557369912489,0.8224561940963306,0.8223542120983703,0.822253842464014,0.8221530697387568,0.8220506846498954,0.8219499119246382,0.8218495422902818,0.8217487695650246,0.8216475937488663,0.821546417932708,0.8214456452074508,0.8213432601185894,0.8212420843024311,0.8211417146680748,0.8210413450337185,0.8209405723084613,0.8208402026741051,0.8207398330397488,0.8206394634053925,0.8205390937710363,0.8204330808640656,0.8203327112297094,0.8202323415953532,0.820131971960997,0.8200316023266406,0.8199312326922844,0.8198308630579282,0.8197292841508689,0.8196289145165127,0.8195281417912553,0.8194277721568991,0.8193274025225429,0.8192270328881867,0.8191254539811272,0.8190210534377608,0.8189190714398004,0.818817492532741,0.8187163167165827,0.8186159470822265,0.8185143681751672,0.8184111769045037,0.8183108072701475,0.8182104376357913,0.818110068001435,0.8180088921852767,0.8179065070964153,0.8178041220075539,0.8177037523731977,0.8176033827388415,0.8175030131044851,0.8174026434701289,0.8173002583812675,0.8171998887469113,0.8170995191125551,0.8169991494781988,0.8168983767529415,0.8167980071185853,0.8166976374842291,0.8165968647589718,0.8164964951246155,0.8163957223993583,0.816294949674101,0.8161929676761407,0.8160925980417844,0.8159914222256262,0.8158910525912698,0.8157906829569136,0.8156878947771512,0.815587525142795,0.8154867524175377,0.8153859796922804,0.8152856100579242,0.8151852404235679,0.8150848707892117,0.8149840980639544,0.8148833253386971,0.8147829557043409,0.8146825860699847,0.8145822164356284,0.8144814437103711,0.8143810740760149,0.8142803013507576,0.8141799317164014,0.8140795620820451,0.8139787893567878,0.8138780166315306,0.8137776469971744,0.8136772773628181,0.8135728768194516,0.8134712979123923,0.813369719005333,0.8132693493709766,0.8131665611912142,0.813065788465957,0.8129650157406997,0.8128622275609373,0.8127598424720759,0.8126578604741155,0.8125574908397593,0.8124490593873824,0.8123482866621252,0.8122471108459669,0.8121463381207096,0.8120439530318482,0.8119415679429868,0.8118411983086306,0.8117408286742743,0.8116404590399181,0.8115388801328588,0.8114385104985025,0.8113365285005422,0.8112353526843838,0.8111329675955224,0.8110325979611662,0.8109310190541069,0.8108282308743445,0.8107278612399882,0.8106266854238299,0.8105230910622655,0.8104223183370082,0.8103211425208499,0.8102207728864936,0.8101200001612363,0.8100196305268801,0.8099188578016229,0.8098164727127615,0.8097161030784052,0.8096149272622469,0.8095145576278907,0.8094137849026334,0.8093130121773762,0.8092126425430198,0.8091102574541584,0.8090098878198022,0.808909115094545,0.8088083423692877,0.8087067634622284,0.80860558764607,0.8085052180117138,0.8084044452864565,0.8083032694702983,0.808202899835942,0.8081025302015857,0.8080021605672295,0.8079017909328733,0.807801018207616,0.8076998423914576,0.8075994727571014,0.8074987000318442,0.8073959118520818,0.8072915113087152,0.8071895293107548,0.8070891596763986,0.8069875807693393,0.806886808044082,0.8067856322279238,0.8066852625935674,0.8065848929592112,0.806484523324855,0.8063841536904988,0.8062833809652414,0.8061826082399842,0.806082238605628,0.8059814658803707,0.8058806931551135,0.805779114248054,0.8056779384318957,0.8055755533430344,0.8054743775268761,0.8053740078925199,0.8052724289854605,0.8051712531693022,0.8050708835349459,0.8049705139005897,0.8048697411753325,0.8047685653591742,0.8046673895430159,0.8045621828178473,0.804461813183491,0.8043610404582338,0.8042558337330652,0.8041494177351934,0.8040490481008372,0.8039478722846789,0.8038470995594217,0.8037463268341644,0.8036455541089071,0.8035451844745508,0.8034448148401946,0.8033436390240363,0.803241657026076,0.8031408843008186,0.8030389023028583,0.8029385326685021,0.8028377599432448,0.8027353748543834,0.8026346021291262,0.8025338294038689,0.8024326535877105,0.8023318808624533,0.8022298988644929,0.8021283199574336,0.8020263379594732,0.8019239528706118,0.8018235832362556,0.8017199888746911,0.8016196192403349,0.8015192496059786,0.8014180737898203,0.8013177041554641,0.8012161252484048,0.8011153525231475,0.8010145797978903,0.8009134039817319,0.8008130343473757,0.8007126647130194,0.8006118919877622,0.8005111192625048,0.8004107496281486,0.8003103799937924,0.800207994904931,0.8001076252705748,0.8000068525453174,0.7999048705473571,0.7998036947311988,0.7997033250968426,0.7996029554624864,0.7995017796463281,0.7994014100119718,0.7993010403776155,0.7991905934707336,0.7990902238363773,0.7989870325657139,0.7988830351132484,0.7987826654788921,0.7986822958445359,0.7985819262101796,0.7984811534849224,0.798379171486962,0.7982767863981006,0.7981723858547342,0.7980716131294768,0.7979700342224175,0.7978684553153582,0.7977676825901009,0.7976673129557447,0.7975669433213884,0.797464558232527,0.7973637855072697,0.7972634158729135,0.7971630462385573,0.7970598549678938,0.7969590822426366,0.7968583095173792,0.796757939883023,0.7966575702486668,0.7965572006143106,0.7964536062527461,0.7963532366183899,0.7962524638931325,0.7961520942587763,0.7960517246244201,0.7959513549900639,0.7958497760830044,0.7957481971759451,0.7956470213597868,0.7955466517254306,0.7954462820910744,0.7953459124567182,0.7952455428223618,0.7951451731880056,0.7950448035536494,0.794942015373887,0.7948416457395308,0.7947388575597683,0.79463768174361,0.7945373121092537,0.7944369424748975,0.7943361697496403,0.7942345908425809,0.7941322057537196,0.7940314330284622,0.7939298541214029,0.7938278721234425,0.7937270993981853,0.793626326672928,0.7935223292204625,0.7934155101316898,0.7933139312246305,0.7932119492266702,0.7931111765014128,0.7930083883216504,0.7929076155963931,0.7928072459620369,0.7927028454186703,0.792601266511611,0.7924992845136507,0.7923989148792945,0.792295723608631,0.7921953539742748,0.7920937750672155,0.7919934054328591,0.7918918265257998,0.7917914568914436,0.7916854439844729,0.7915842681683146,0.7914838985339584,0.7913831258087011,0.7912811438107408,0.7911807741763845,0.7910804045420283,0.790979631816771,0.7908772467279096,0.7907764740026524,0.7906752981864941,0.7905725100067316,0.7904721403723753,0.790370158374415,0.7902693856491577,0.7901690160148015,0.790065018562336,0.7899642458370787,0.7898638762027225,0.7897635065683662,0.7896619276613069,0.7895611549360496,0.7894595760289903,0.789358803303733,0.7892584336693768,0.7891576609441195,0.7890552758552581,0.7889545031300008,0.7888533273138425,0.7887529576794863,0.7886497664088229,0.7885481875017635,0.7884474147765063,0.7883466420512489,0.7882458693259917,0.7881454996916355,0.7880443238754772,0.7879427449684179,0.7878411660613585,0.7877395871542991,0.7876380082472398,0.7875364293401805,0.7874360597058243,0.787335690071468,0.7872353204371118,0.7871329353482504,0.7870325657138941,0.7869269558978245,0.7868265862634682,0.7867242011746068,0.7866238315402506,0.7865226557240923,0.786421479907934,0.7863199010008747,0.7861945397306547,0.7860925577326943,0.785991785007437,0.7858873844640705,0.785783387011605,0.7856826142863477,0.7855822446519914,0.7854810688358331,0.7853802961105759,0.7852795233853186,0.7851783475691603,0.7850775748439031,0.7849768021186457,0.7848760293933885,0.7847748535772302,0.784674483942874,0.7845741143085178,0.7844729384923594,0.784370553403498,0.7842472075877831,0.7841424039535155,0.7840416312282583,0.783940858503001,0.7838396826868427,0.7837381037797834,0.7836333001455158,0.7835288996021493,0.7834257083314858,0.7833245325153275,0.7832225505173672,0.7831221808830109,0.7830197957941495,0.7829190230688923,0.782818653434536,0.7827130436184664,0.7826094492569019,0.7825086765316447,0.7824062914427833,0.7823039063539219,0.7821974903560502,0.7820971207216939,0.7819967510873377,0.7818963814529815,0.781794399455021,0.7816940298206648,0.7815936601863086,0.7814932905519524,0.7813929209175962,0.7812748152835945,0.7811740425583373,0.78107326983308,0.7809729001987238,0.7808705151098624,0.7807701454755062,0.7806673572957438,0.7805649722068824,0.7804629902089221,0.7803626205745657,0.7802606385766054,0.780158656578645,0.7800502251262682,0.7799446153101987,0.7798434394940403,0.7797418605869809,0.7796414909526247,0.7795395089546644,0.7794359145930999,0.7793274831407231,0.7792259042336638,0.7791255345993074,0.779022746419545,0.7789191520579806,0.7788163638782182,0.7787151880620599,0.7786128029731985,0.7785079993389309,0.7784019864319602,0.7782983920703958,0.7781956038906334,0.7780936218926731,0.7779924460765147,0.7778920764421585,0.7777917068078022,0.777690530991644,0.7775877428118815,0.7774873731775253,0.777386600452268,0.7772834091816045,0.7771814271836441,0.7770766235493766,0.7769746415514163,0.77687427191706,0.7767690651918914,0.7766686955575351,0.7765679228322779,0.7764635222889114,0.776360734109149,0.7762603644747927,0.7761563670223272,0.776055191206169,0.7759532092082085,0.7758508241193471,0.7757484390304857,0.7756468601234264,0.7755460873981692,0.7754392683093965,0.775336077038733,0.7752357074043768,0.7751349346791195,0.7750337588629612,0.7749329861377039,0.7748289886852384,0.774726200505476,0.7746254277802187,0.7745234457822584,0.7744206576024959,0.7743190786954366,0.7742174997883773,0.7741094714269015,0.774005877065337,0.7739026857946736,0.773798285251307,0.7736942877988415,0.7735886779827719,0.7734862928939105,0.7733810861687419,0.7732766856253753,0.773174300536514,0.7730715123567515,0.7729691272678901,0.7728675483608308,0.7727663725446725,0.7726651967285142,0.772564827094158,0.7724616358234946,0.7723580414619301,0.7722548501912666,0.7721427909207805,0.7720367780138099,0.7719356021976516,0.771830395472483,0.7717219640201062,0.77162159438575,0.7715175969332845,0.7714152118444231,0.7713132298464627,0.7712108447576013,0.771110072032344,0.7710084931252846,0.7709073173091264,0.7707976765840465,0.770694888404284,0.7705884724064124,0.770486490408452,0.7703857176831947,0.7702853480488385,0.770181753687274,0.7700761438712044,0.7699705340551348,0.7698657304208673,0.7697625391502038,0.7696613633340454,0.769557768972481,0.7694521591564114,0.7693513864311541,0.7692506137058969,0.7691405698899159,0.7690345569829452,0.7689293502577766,0.7688269651689152,0.7687257893527569,0.7686242104456976,0.768517794447826,0.7684117815408553,0.7683057686338847,0.7681989495451119,0.7680937428199434,0.7679909546401809,0.7678869571877154,0.767784572098854,0.7676813808281906,0.767576980284824,0.7674754013777647,0.7673730162889033,0.7672698250182398,0.7671670368384774,0.7670654579314181,0.7669550110245361,0.7668522228447737,0.7667441944832979,0.7666406001217334,0.7665329748511587,0.7664277681259901,0.7663257861280297,0.7662242072209704,0.766121822132109,0.7660202432250497,0.7659194704997924,0.765817085410931,0.7657151034129707,0.7656102997787031,0.7655038837808315,0.7653946461466525,0.765289439421484,0.7651846357872164,0.7650830568801571,0.7649782532458895,0.7648653877936014,0.764764615068344,0.7646630361612847,0.7645610541633243,0.7644562505290569,0.7643530592583934,0.7642526896240371,0.7641507076260767,0.7640438885373041,0.7639419065393437,0.7638383121777792,0.7637318961799076,0.7636303172728482,0.7635186610932632,0.7634182914589069,0.7633155032791444,0.763212312008481,0.7631099269196197,0.7630083480125603,0.7629027381964907,0.7627983376531241,0.7626818443827268,0.7625810716574695,0.7624750587504988,0.7623690458435282,0.7622610174820523,0.762144927302556,0.7620409298500905,0.7619329014886147,0.7618321287633574,0.761729340583595,0.7616273585856347,0.761521345678664,0.7614100925899799,0.7613060951375145,0.7612012915032469,0.7611005187779897,0.7609876533257015,0.7608792218733247,0.760774015148156,0.7606712269683936,0.7605684387886312,0.7604668598815719,0.7603584284291951,0.7602447567951048,0.7601439840698476,0.7600403897082831,0.7599355860740156,0.7598263484398367,0.7597175138965588,0.7596151288076974,0.7595091159007268,0.7594075369936675,0.7593059580866081,0.7591995420887364,0.759096350818073,0.7589911440929044,0.7588819064587256,0.758779118278963,0.7586751208264976,0.7585719295558342,0.7584695444669728,0.7583574851964867,0.7582563093803284,0.7581353821100196,0.7580321908393561,0.7579294026595937,0.7578044444802747,0.7576887573916794,0.7575847599392139,0.7574775377595402,0.7573703155798664,0.7572554346730731,0.757142972311686,0.7570405872228246,0.7569386052248642,0.756837832499607,0.7567229515928137,0.7566217757766553,0.7564972206882374,0.7563916108721678,0.756284791783395,0.7561820036036326,0.7560663165150373,0.7559534510627491,0.7558490505193827,0.7557462623396202,0.7556414587053526,0.7555334303438769,0.7554326576186196,0.7553230168935396,0.7552214379864803,0.7551170374431138,0.7550086059907369,0.7548876787204283,0.7547764256317442,0.7546708158156746,0.7545700430904173,0.7544535498200199,0.7543459245494452,0.7542314467335529,0.7541262400083842,0.7540226456468199,0.7539206636488595,0.7538077981965713,0.7537025914714027,0.7535804549283909,0.7534647678397955,0.7533523054784085,0.7532333936626049,0.7531273807556342,0.7530266080303769,0.7529109209417816,0.7528012802167017,0.7527005074914443,0.752598525493484,0.7524949311319196,0.7523925460430582,0.7522768589544628,0.7521333585936965,0.7520265395049237,0.7519144802344376,0.7517915375096238,0.751684718420851,0.7515666127868496,0.7514315773350048,0.7513287891552424,0.7512143113393501,0.7511074922505774,0.7510002700709036,0.7508853891641104,0.75078340716615,0.7506830375317938,0.7505584824433758,0.7504468262637908,0.7503432319022263,0.750241652995167,0.7501142762704417,0.7499957675455392,0.7498893515476676,0.7497660057319526,0.749645884643446,0.7495342284638609,0.7494338588295046,0.7493318768315442,0.749203290834116,0.7490992933816505,0.7489646610207068,0.7488521986593196,0.7487336899344171,0.7486309017546547,0.7485160208478614,0.7484079924863856,0.7482963363068006,0.7481834708545124,0.7480822950383541,0.7479791037676906,0.7478509208611634,0.7477441017723907,0.7476183374112696,0.7474772555959094,0.7473732581434439,0.7472591834184527,0.7471563952386903,0.7470201505141424,0.7469157499707759,0.7468153803364197,0.7467037241568346,0.7465751381594063,0.7464687221615346,0.7463590814364547,0.7462224336210058,0.7460837703510519,0.7459813852621905,0.7458741630825168,0.7457580729030203,0.7456254559965818,0.7455069472716792,0.7453775550924489,0.7452457443678124,0.745115142915879,0.7450059052817001,0.7448603894664286,0.7447305941962972,0.7446120854713947,0.7444883365647788,0.7443601536582515,0.7442210872973964,0.7441106403905144,0.7439872945747996,0.7438615302136785,0.7437406029433697,0.7436398302181125,0.7435265616749233,0.7434128900408331,0.7432927689523264,0.7431811127727413,0.7430718751385625,0.7429303902323013,0.7427993856894668,0.7426707996920385,0.7425148035133403,0.7423676753344647,0.7422451357005518,0.742136704248175,0.7420314975230065,0.7418879971622401,0.7417606204375149,0.741622763349363,0.7415127195333819,0.7414054973537082,0.7412757020835768,0.7411217213593837,0.7410024064526791,0.7409004244547188,0.7407383819125051,0.7406343844600396,0.7405247437349597,0.7403889021013129,0.7402695871946082,0.7401676051966479,0.7400285388357929,0.7398802013842142,0.7397334762962395,0.7396290757528731,0.7394839630285026,0.7393263544862002,0.739199380852376,0.7390292764921418,0.7389285037668845,0.73879749922405,0.7386294103183209,0.7385088861389132,0.7383718352325633,0.7382521172349576,0.7381473136006901,0.7380408976028184,0.7379070714236767,0.7378034770621122,0.7376950456097354,0.737549529794464,0.7374451292510974,0.7373358916169185,0.7372218168919273,0.737065820713229,0.7369235296251657,0.7368195321727002,0.7367034419932039,0.7365321283602665,0.7364176505443742,0.7363116376374036,0.7361548352769033,0.736052853278943,0.7359226549179105,0.7357985029203936,0.7356969240133342,0.7355800276520358,0.7354687745633518,0.7353458318385379,0.7352277262045364,0.7350580249352031,0.7349346791194883,0.7348326971215279,0.7346992740332873,0.7345807653083847,0.7344703184015027,0.7343171438591116,0.73421072786124,0.7340986685907539,0.7339559744117896,0.7338144895055284,0.7337129105984691,0.7335774720557233,0.7334428396947795,0.7333174784245595,0.7331808306091107,0.733046601339068,0.7329043102510047,0.7327668562537538,0.7326402857108306,0.7325245986222353,0.732354494262001,0.7322214742646614,0.7320259751776623,0.7318949706348279,0.7317409899106347,0.7315870091864416,0.7313999750083642,0.7312754199199462,0.7311270824683674,0.7309799542894918,0.7308283921107049,0.7306603032049758,0.7304764937541065,0.7303342026660432,0.7301536179423822,0.7299952032182777,0.7298375946759754,0.7296453203161845,0.7294078997754784,0.7292724612327326,0.7290745436003273,0.7289104856036085,0.7287202266983227,0.7286085705187377,0.7284654732488723,0.728294965797737,0.7280893894382122,0.7278874408967967,0.727726204536385,0.7275016829045118,0.7272944941813828,0.7270760189130251,0.726853915826558,0.7266273787401797,0.7263710129271252,0.7261682582039075,0.7259211634815768,0.7257055098495262,0.7254406791275501,0.7252101111321614,0.7249900235001995,0.7247630833229202,0.7245313060548284,0.7242950947868254,0.7240568680643172,0.723819850614512,0.723541717892802,0.7232535078985662,0.7229673133588356,0.7226690260920741,0.7224416828238936,0.7220643897405303,0.7217785982917008,0.7216524308396787,0.7214420173893414,0.7213327797551626,0.7210776232148112,0.7207398330397488,0.7206269675874607,0.720409298500905,0.7200428888718695,0.7197014708786978,0.7193423168858809,0.7191980103433125,0.7188952890766397,0.7187707339882217,0.7184680127215488,0.7180645187296187,0.7176618309194907,0.7175118811043079,0.717223671110072,0.7170737212948892,0.7166948158479218,0.7165077816698444,0.716155883313246,0.7160031118617559,0.7156536320505638,0.7155298831439478,0.7151328386064342,0.7150070742453131,0.7146164791622158,0.7145088538916411,0.7140944764453832,0.7134926617301468,0.7133394871877557,0.7128614213791352,0.7127336415635089,0.7122979002994966,0.7121338423027777,0.7116311879491944,0.7114264177714716,0.7109003841456287,0.7107451941487325,0.7100680014350036,0.7098983001656703,0.7092618196329454,0.7090691421822535,0.7084890943756726,0.7082557047439768,0.70770467948227,0.707480964032199,0.7067799889553094,0.7064873449611622,0.705666651886667,0.7053824728014415,0.7044730997287199,0.7041260384629338,0.7032033633904782,0.7028732319425354,0.7018904963258265,0.7017361125107323,0.7005095068989008,0.6998254616398544,0.6985847478464868,0.698434798031304,0.6968587126082803,0.6960553524425294,0.6945030493826663,0.6940818193910909,0.6917305901653882,0.6913133910828231,0.6886445262271095,0.6876706586102231,0.6843117021319478,0.6829536888863807,0.6774922102683376,0.6759636895716353,0.6739385608848651],\\\"y\\\":[0.7104924235806226,0.7112664133573399,0.7120263298790587,0.7127162320475822,0.7135830961790096,0.7142737440423942,0.7148262877647585,0.7153981607557683,0.7162255790622498,0.7169246642124284,0.7175897271859477,0.718307363817552,0.7190524579839106,0.719732236113309,0.7203318334762648,0.7212146378818861,0.7220157727404104,0.7226600689215109,0.7233742623014476,0.7240016719776169,0.7245762941567194,0.7252466627233404,0.7258439682049768,0.7265492734974254,0.7272530786420578,0.727772009434446,0.7282779306199763,0.7290035392371135,0.7297129287490389,0.7304887306480228,0.7311266708692401,0.7317126486848287,0.7323672061986363,0.7331160568946766,0.7336820540350003,0.7343980917484891,0.7350412366122786,0.7356728052286496,0.736446746137651,0.7370387080249169,0.7378079814846634,0.7385647148895966,0.7392272930209562,0.7398474912108323,0.7404213651829408,0.74095747707283,0.7416955530989312,0.7422989627318061,0.742903085523731,0.7437734772213281,0.7444206645535397,0.7450582533535572,0.7457819832781295,0.7464343494655686,0.7471724032765036,0.7478406014828921,0.7486070311148482,0.7493052288051326,0.7497967854826796,0.7502006109182741,0.7508719579388998,0.7514774086378737,0.7520327879536324,0.7526048903282017,0.7531215475961693,0.7536532658308186,0.7543408718481401,0.7550047495687979,0.7555550132678488,0.7563283662209586,0.7568536256475148,0.757404939218489,0.7579859145809351,0.7586378057499957,0.7591474624794895,0.7597816107769544,0.7604202760780923,0.7608657632882587,0.7614610547077627,0.7619020618574098,0.7624502863412166,0.7630161883369868,0.7635078785032722,0.7642598545555294,0.7648337619316552,0.7654724685440587,0.7661892300961667,0.7669022786173654,0.7675366095133854,0.7679672863537274,0.7684983268084886,0.7690184151622012,0.769805193142061,0.7701278045330376,0.7707137060659938,0.7711971570459041,0.7717998481892319,0.772377214580595,0.7729569778836731,0.7735169429682603,0.7740949817215935,0.774735387755074,0.7754672671086178,0.7757033077134041,0.7763195147798277,0.7768510756375084,0.7774130203880728,0.7780934530064003,0.7786499948439802,0.7790849994580816,0.7798201359795289,0.7801887093484796,0.7806286920124114,0.7811654304966552,0.7817616086747172,0.7822613977955912,0.7828176485274265,0.7831137178833307,0.7837048886868115,0.7842510293393559,0.7847769982154269,0.7851882577907247,0.7856662761623332,0.7860907887457312,0.7866962877555931,0.7870665296191254,0.7875416408466238,0.7881771324028065,0.7886007265176118,0.788928780279346,0.789494047095651,0.7900089898745993,0.7904828797437923,0.7909093792957598,0.7914226877144663,0.7918613766956495,0.79231632167928,0.7928433389880297,0.7933734106483773,0.7937926166433148,0.7941809879165229,0.7946434078137439,0.7951120472124226,0.7956371892485951,0.7962036631108945,0.7966444546830028,0.7970874566971207,0.7975217599782997,0.797976174615942,0.7984336986491809,0.7988320108773579,0.7992533451351438,0.7997419107817074,0.8000676111259611,0.8005230919641302,0.8008914246622003,0.8013166218949345,0.8018328545830501,0.8023525286060924,0.8027618790651748,0.8033095166107815,0.8037374379420232,0.8042140515848988,0.8046824400761085,0.8051701751189508,0.8056813255753701,0.8060107063385735,0.8064407899863487,0.8067481673181666,0.8073666467010923,0.8078490802864504,0.8083356245658717,0.8087505439043974,0.8092582502774969,0.8097196710251806,0.810230097562179,0.8107079310921947,0.81115369664648,0.8115954304617705,0.812083237233099,0.8125352198812681,0.8130086069065808,0.8134307657033878,0.8138553970773612,0.81421153107137,0.8146647350524797,0.815016983288561,0.8154867135296214,0.8158053196797715,0.816144955268808,0.8165272179523708,0.8169224973688917,0.8172662719854163,0.8177678744073907,0.8180922792731576,0.8184521863693963,0.8189142182105007,0.8193278222649174,0.8197339920113699,0.8200527834662861,0.8205099958403628,0.8208954508589545,0.8212622040712143,0.8216030533787708,0.821997008917856,0.822377995994072,0.822708152270952,0.8231421809468077,0.8234756164134124,0.8237701139380977,0.8240738511145349,0.8244393449501477,0.8248313328662713,0.8252332751444331,0.8256022837062401,0.8260594774267715,0.8265228611828185,0.8268696082406729,0.8272468987788668,0.827647736444046,0.828045506514879,0.8284461819215048,0.8287164270640475,0.829052814035072,0.8293876913896191,0.8297098308691773,0.8300393661198673,0.8304246480964631,0.8308461323694416,0.831231280936307,0.8315568658790489,0.8319170822077923,0.8323386288795256,0.8327900196944157,0.8330645918371179,0.8332971448406229,0.8336582679799364,0.8340288208628207,0.8343559574896386,0.8347267890608706,0.8350757040423201,0.8354256158697401,0.8357427483771327,0.8361239091099786,0.8365178190900028,0.8367740700191961,0.8371685007402548,0.8374778979029613,0.8378836201401685,0.8382869713591858,0.838634901314905,0.8390165789275249,0.8393318300444466,0.8396837317978888,0.84003020890062,0.840339459145034,0.8405560890082743,0.8409313840062601,0.841189310320311,0.8414837000906449,0.8417988469593299,0.8420594756928476,0.8423726231106777,0.8426475385347056,0.8429734735692679,0.8433214899608535,0.8436522824379846,0.8439691694971238,0.8443093274651049,0.8446477805651764,0.8449469543595631,0.8452845695500308,0.8455597347148291,0.845876309190259,0.8462063987015306,0.84660828145745,0.8469392491190035,0.8472600878687679,0.847648790632717,0.8479859263801229,0.848258847015839,0.8485450564527479,0.8487714432440437,0.8490547957172649,0.8494771353579417,0.8497398827006586,0.850093644977033,0.8503463529977928,0.850611139229568,0.8508816752795155,0.8512461732841948,0.8515461958012457,0.8518449090590048,0.8521056207241753,0.8523910084141864,0.8527046456859,0.8529453215805951,0.8532126260761916,0.8534699060645903,0.8537704267227727,0.8539969167224177,0.8543492626701109,0.8546153804347404,0.8548924052992642,0.8551912706316342,0.8554503392116017,0.8557542731984743,0.856085581671876,0.8563118866316897,0.8566125215933854,0.8569149953695749,0.8571989292073203,0.8574962681270756,0.8577343734151833,0.8580278594235236,0.8582726846790567,0.8585267593486636,0.8587521833079999,0.8589969161561131,0.8593280435779063,0.8595967686085352,0.8598694251347417,0.8601555163422957,0.8603536600987904,0.8606407515475978,0.860914989729195,0.8612033810277709,0.8615183376549167,0.8617901756127285,0.8621487103338283,0.8623535301695038,0.8626268709995608,0.8629530014443182,0.8632852283334671,0.8635572661296101,0.8637387582526123,0.8639642745282666,0.864261043095555,0.864507756902034,0.8648010850123594,0.8650226029167727,0.8652543727879447,0.8654527173069534,0.8656982126044945,0.8659323729388995,0.8662405875005091,0.8664790573223816,0.866654426254418,0.8668432879746698,0.8671068336096092,0.8673973503636911,0.8676959859086264,0.8678861957852141,0.8681333457616968,0.8684736875942025,0.8687294296070732,0.8689613675267989,0.8692322485489233,0.8694971059733299,0.8697593664016466,0.8700086408417421,0.8702377844355227,0.8704691803537147,0.8707196711713326,0.8709038918878862,0.8712158566602557,0.8714385460658771,0.8716721403813343,0.8718854776804705,0.8720908694617739,0.8722818773185955,0.8724862563505208,0.87273322351621,0.8729550123709683,0.8732251569972668,0.8734046204895097,0.8736852975055974,0.8739262253663467,0.8741088697871461,0.8743316161536431,0.8745461658277398,0.8748270185843494,0.8750460818493875,0.8752481453554934,0.8754488926711974,0.8756698713405298,0.8759075499235314,0.8762155900987584,0.8764110446343818,0.8766254711714654,0.8768331949967069,0.8771106092264048,0.8773320899278518,0.8774968261026473,0.8777313286096208,0.8779686937566081,0.8781259601357677,0.8783106449246223,0.8785414809772686,0.8788101412162097,0.8790499184897937,0.8792369586442217,0.8794831145833797,0.8796522965181144,0.8798568039938957,0.8801262008314951,0.8802882331375036,0.8805331014515283,0.8807956407021693,0.8809565285026988,0.8811853582169455,0.8813312043015199,0.8815340095750902,0.8817936932295322,0.8819595945823107,0.882255957296333,0.8824748062826204,0.8827231270040679,0.882951573274154,0.8831518921721099,0.8833754649561838,0.8835555324091121,0.883782475811674,0.8839714827813653,0.8841807806053852,0.8843959439632288,0.8845964319209024,0.8848214482301394,0.8850157744789935,0.8852231865443001,0.8854275848557575,0.88576232025622,0.8860213674445511,0.8862396508961561,0.8864946035569631,0.8866744697540392,0.8868754474604701,0.8871514000071214,0.8873784905187598,0.8875918890270535,0.8878037128344728,0.8881034548485647,0.8882434680352669,0.8884991195323534,0.8887531079049837,0.888982119209104,0.8891704507097082,0.8893963991646141,0.8895513225365187,0.8897257633190867,0.8898800982501959,0.8901019713137814,0.8903742017249325,0.8906062833888906,0.8907930539221984,0.8910099062430875,0.8912527573237775,0.8914025041714206,0.8916111554376264,0.8918416122243407,0.8920380084044987,0.8922161669970831,0.8924245195724101,0.8926149963548948,0.8927979407341299,0.8930020401347746,0.8932051278870826,0.8933725576805523,0.8935707722280396,0.8938061118570159,0.8939509042697429,0.8941390990256749,0.8943044906900328,0.894458491727849,0.8946061902537471,0.8947925766862771,0.8950155292899663,0.8951777291052699,0.8953801150416143,0.8955546661640313,0.8956917992565581,0.8958949203294831,0.8960858055909939,0.896285888287734,0.8965088479585009,0.8966499793054535,0.8968523153551834,0.8969879553175496,0.8971512649895622,0.8972618855754771,0.89741863645585,0.8976136720680536,0.8977791449964589,0.8979369828697612,0.8980417261836494,0.8981851100176671,0.898336070037368,0.8984799901827134,0.8986554645707691,0.8988232070781321,0.8990207232000321,0.8991824178249046,0.8993767958351049,0.8995408316884681,0.8996699656161897,0.8998675651870093,0.9000705305698744,0.9002767763303897,0.9003904286757758,0.900562235535632,0.9007375451510147,0.9009284486267789,0.901067667590181,0.901179704683754,0.9013644844677184,0.9015781410673438,0.9017552227175513,0.9018850682453751,0.9020502210693244,0.9022248779901552,0.9023689518883227,0.9025191767897356,0.9026551017301143,0.9028089084086358,0.9029426653442465,0.9030947795982364,0.9032373508549669,0.9033983849543173,0.9035378173208974,0.9036297283529049,0.903812336986851,0.904004209587183,0.9041655384630958,0.9043778694908517,0.904515907403789,0.9047199494413258,0.9048526142210755,0.9050302361614014,0.9051583103200008,0.9053621906932394,0.9055290722869918,0.9056921840049769,0.9058702188317943,0.9060492916530719,0.906226479470414,0.9064076559886515,0.9065309248133804,0.9066769591610544,0.9067631269821629,0.9068935758241627,0.9070937042987431,0.9072177366168049,0.9073435992638668,0.9074854723327186,0.9076698425365642,0.9077610503066734,0.907904733955739,0.9080852958394615,0.9082121333937314,0.9083584933008532,0.9085028123316565,0.9086627468075831,0.9088293477752205,0.9089678110656536,0.909134211406782,0.9092604467107264,0.9093948412529408,0.9095636385169836,0.9096908631074767,0.9098402582057564,0.9099416750515886,0.9100601688514781,0.9101969692122298,0.9103834873965178,0.91049438570553,0.9106105827049453,0.9107222084863671,0.9108391361972707,0.9110082374856869,0.9111521674002523,0.9112742851671107,0.9114400753275698,0.9116017892996188,0.9117343413404869,0.911849364663913,0.9119660431891184,0.9121542492492686,0.9122577843297067,0.9123893964540034,0.912530741169105,0.9126640605577416,0.9128220321759912,0.9129368212127295,0.9130757265460311,0.9131760640221885,0.9132949068450937,0.9134278879837348,0.9136029538068311,0.9137151796406672,0.9138669083062756,0.914000579331946,0.9140958113330993,0.9142472240962591,0.9143533741033093,0.9144708596149032,0.9146316588519613,0.9147465199762402,0.9148677023385495,0.9149721764549332,0.9151009999849238,0.9151987019466492,0.9153551502321641,0.9154620723605795,0.9156181749582277,0.9157453577286653,0.915889164905729,0.9159803692693538,0.9161144625116973,0.9162129887309423,0.9163377117694383,0.9164238479247744,0.9165530387475525,0.9166712042599791,0.9167568974109935,0.9168715995835625,0.9170255120818137,0.9171891418601804,0.9173111889413046,0.9174634764553907,0.9176007536772506,0.9177683106768197,0.9178882518163498,0.9180181968024307,0.9181209729112664,0.9182383039192779,0.9183417553894945,0.9184519201368785,0.9185753936681657,0.9186863950977172,0.9187584767187259,0.9188725040122906,0.9189732776730359,0.919086248471203,0.9192054522200906,0.9193280867541038,0.9194711094400967,0.9196030717419479,0.9197151395600458,0.919828461415998,0.9199462406994801,0.9200572710517898,0.9201599430292193,0.9202682715823086,0.9204195408881644,0.9205496411728165,0.9206501226790437,0.9207373038916167,0.9208495134203905,0.9210351660273953,0.9211250110130141,0.9212016327841133,0.921329227460938,0.9214272402269066,0.921549332790823,0.921664747476997,0.921828725584581,0.9219301733215077,0.9220143414567211,0.9221177890909218,0.9222185303067398,0.9223278214085647,0.9224306067987601,0.9225499542579084,0.9226641459726881,0.9227651653597074,0.9228803726778779,0.9229944233701692,0.9231085292167088,0.9231931623662005,0.9233202824735455,0.923440519148966,0.9235483633353444,0.9236335744758484,0.9237524230385067,0.9238376498389564,0.9239517678480993,0.9240139898570026,0.9241788190168089,0.9243044685818484,0.924397595918579,0.9245115804125994,0.924604050076162,0.924696933598369,0.9248118813100114,0.9249382746455025,0.9250378749887826,0.9251725284995432,0.9252587925201579,0.9253682131811031,0.9254960566889221,0.9256170683560494,0.9257108495833691,0.925793250038334,0.925920539176409,0.9260274818044357,0.9261459091209736,0.9262601144800806,0.9263589111946561,0.9264440160419997,0.926523776003107,0.9266044192378456,0.9267419711210273,0.9268481084552215,0.9269354593612728,0.9270412473533332,0.9271622780267473,0.9272968966823647,0.9273982730382428,0.9274972667348361,0.9275773976859767,0.9276485319363573,0.9277751543344422,0.9278710033837442,0.9279780527481442,0.9280921716948042,0.9281923022743401,0.9282851385408285,0.9284199516476795,0.9284924294106878,0.9286232427058937,0.9287203483754056,0.9288026966639031,0.9288941145151629,0.9289822425651226,0.9290935659535482,0.9292296653670653,0.9293208807411157,0.929424270382234,0.9295323453643747,0.9296315389503904,0.929757009162999,0.9298413555186325,0.9299291081664137,0.9300375827307152,0.9301266581954989,0.9302468196305761,0.9303271610433544,0.9304535481366183,0.9305390352203403,0.9306581047950282,0.9307412172915059,0.9308289272273952,0.9309104507481566,0.9310239674727157,0.9310759977954592,0.9311733433237889,0.9312740255180724,0.9313445089439093,0.9314578053055164,0.9315478993734837,0.9316530075078863,0.9317515064928917,0.9318574207713252,0.9319529746920845,0.9320395291644452,0.932112787614496,0.932227336011739,0.9323281808648366,0.9324088648423309,0.9324872674041969,0.93256191601697,0.9326770855292928,0.9327593516382519,0.9328717271989242,0.9329874997368625,0.9330538234894888,0.9331550263002127,0.9332425025378095,0.933327087403274,0.933413740690756,0.9335339830905265,0.9336551272446696,0.933738832034517,0.9338420290622579,0.9339356311086232,0.9340242715896504,0.9341410278231994,0.9342301432898494,0.9343331798218518,0.9344077086828289,0.93446840643288,0.9345727922082593,0.9346575017222493,0.9347481327759772,0.9348614550192189,0.9349412043688711,0.9350538116430465,0.935127204825113,0.9352188803247701,0.9352978132663194,0.9353878794840436,0.93546112551616,0.9355465977481304,0.9356270745176662,0.9357328668617312,0.9358302973566146,0.9359108860339288,0.936011776536343,0.9360885495632084,0.9361604181052574,0.9362521312714227,0.9363358517367321,0.9364115723215907,0.9364923994776546,0.9365795784561948,0.9366634371537387,0.9367316656248573,0.9368070913342001,0.936900791973105,0.9369940816199157,0.937063250232511,0.9371349613226972,0.9372025164427686,0.9372708892225204,0.9373655984564025,0.9374608026263656,0.9375603238407971,0.937621123262824,0.9377262455996944,0.9378220659536687,0.9379196296583396,0.9379861902363185,0.9380693390123438,0.9381474442423445,0.9382293281504277,0.9383155881855115,0.9383903851565407,0.9384745568813453,0.9385920340741649,0.9386660829061102,0.9387550866698586,0.9388172550616081,0.9389076072483223,0.9389893790619429,0.9390840765680672,0.9391847676562809,0.9392735421970397,0.9393457158624028,0.9394140433213161,0.9394926591362452,0.9395871050327919,0.9396512434225114,0.9397307847844858,0.9398077905017589,0.9398998695634544,0.9399598638798614,0.940018595069572,0.9401116314012093,0.9401715909666024,0.9402736764816542,0.9403453266681902,0.9404247281632996,0.9405075958672787,0.9405870910085087,0.9406468924928807,0.9407475222998719,0.9408249676080762,0.9408841994861918,0.9409316378293004,0.9410048383883249,0.9411082320494262,0.9411712266893906,0.9412409171324225,0.9413112537834127,0.9413673823386262,0.9414403017477044,0.941485756855933,0.9415432130408038,0.9416076705280241,0.9416497298891123,0.9417181088804221,0.9417916908088648,0.9418329146212076,0.9419000725785167,0.9419780487704278,0.9420664206642066,0.9420968974602664,0.9421939686085905,0.9422435440262894,0.9423095625176612,0.9423940932265915,0.9424541121152643,0.9425378947315273,0.9426126247726294,0.9426670927902462,0.9427131962735287,0.9427728982132694,0.9428486234886079,0.942933505139716,0.9429976177573827,0.9430799636083959,0.9431714251424645,0.9432477429621351,0.943328865086864,0.9433827013945442,0.9434725924862367,0.9435233837917055,0.9436011253257686,0.9436646567621889,0.9437267855950372,0.9437876077822976,0.9438602973698178,0.943914721216383,0.9439643789287777,0.9440262644394259,0.9440912200978557,0.9441330734971728,0.9442032986166362,0.9442796498748433,0.9443645415890901,0.944437880691274,0.9444986055065182,0.9445371385200362,0.9445697836889879,0.94462748466711,0.9447078985416869,0.9447840317280788,0.944858885828138,0.9449171735473016,0.9450029540963932,0.9450529888288821,0.9451170276232362,0.9451823769506026,0.9452613082600531,0.945328923713798,0.945382100824429,0.9454414240593784,0.9455056099140815,0.9455689443829828,0.9456543136338519,0.9457286050362239,0.9458139332290423,0.945869925609673,0.9459591637686225,0.9460230499849082,0.9461035829229156,0.9461544063181105,0.9461960046427865,0.9462498103433956,0.9463072485075292,0.9463432090754529,0.9464336367531863,0.9464985874735558,0.9465890613468753,0.9466439791743314,0.946723010017284,0.9467889481914525,0.9468554013082334,0.9469359671409411,0.9469887999791688,0.9470861624166274,0.9471522855957323,0.947212264315541,0.9472599227345024,0.9473112224001191,0.9473774373913889,0.9474436778483741,0.9474914115592008,0.9475585808319531,0.9476244516746982,0.9476899062263382,0.9477473623183543,0.9478221430412666,0.947880578171207,0.9479443635654844,0.9479984459745283,0.9480693534407558,0.948147294475104,0.9482038581454637,0.9482508506536848,0.9483505673958521,0.9484096095361324,0.9484620773398095,0.9485175931154998,0.9485650560260732,0.948626445130935,0.9486745557705429,0.9487266743951236,0.9487783200609285,0.9488290249738487,0.9488744225724424,0.9489434816106251,0.9489792671983441,0.9490514801159217,0.949117502515738,0.9491869861609287,0.9492166156240505,0.9492711476754837,0.94932347618209,0.9493842498379111,0.9494441802331983,0.9495161474001212,0.9495796625582109,0.9496405542225386,0.9497014450864342,0.949757904452457,0.949831690265055,0.9499029259224853,0.9499594316393795,0.9500097625265419,0.9500721530527266,0.9501174744955452,0.9501808004057443,0.9502423416606428,0.9502989952687857,0.9503655170663907,0.9504128580492046,0.950481213292063,0.9505486781747806,0.9505902434092817,0.9506465996669295,0.9507056597188086,0.9507607158416521,0.9508014515722228,0.9508632569382476,0.9509076051293976,0.9509618413191343,0.9510178883901579,0.9510743807880755,0.9511595698073744,0.9512147890227268,0.9512798907434479,0.951323264560058,0.9513847540574777,0.9514175557283359,0.951465243355226,0.9515150543223456,0.9515730777032924,0.9516374089096334,0.9516827870341749,0.9517304498952601,0.9517866896800147,0.9518614689179101,0.9519191896293105,0.951976464386229,0.9520346371887711,0.9520784572790306,0.9521343518204307,0.9522082720561297,0.9522764818858294,0.9523379627878118,0.952384601158541,0.9524356938320104,0.9524990406594774,0.9525839609233797,0.9526797857137109,0.952725514917858,0.95278174895004,0.9528474137477816,0.9529008489538602,0.9529562435118146,0.9530016780376106,0.9530691293516304,0.9531444446288083,0.9532193163724094,0.9532870290227957,0.9533398224782462,0.9533935616836104,0.953444583585028,0.953516352500954,0.953565174379221,0.9535972174282956,0.9536519568387617,0.9537053352400936,0.9537822930378673,0.953818063123866,0.9538732262177385,0.953935320183675,0.9539842638418721,0.9540504622816673,0.9540826128722383,0.9541302250895621,0.954181075021443,0.9542305591452286,0.9542786765962085,0.9543204952341424,0.9543845901901566,0.9544673429069762,0.9545433113954145,0.9546070115385477,0.954662072573272,0.9547121925743225,0.954764583955897,0.9548264447681736,0.9548759509410717,0.9549114876924903,0.9549739942909062,0.9550250706132152,0.9550766638166633,0.9551610723393857,0.9552027011546921,0.9552580246925367,0.9552978598855791,0.9553509388981932,0.9554254642305113,0.9554863253322581,0.9555412949948299,0.9556085943948227,0.955643943160004,0.9557130720351037,0.9557657961367696,0.9557960766608813,0.9558543204053703,0.9558870175643395,0.9559297248981263,0.9559857360206637,0.9560216741977483,0.9560850874769775,0.956152166844721,0.9562036803774825,0.9562735356688286,0.9563537486673933,0.9564292047061079,0.9564762453469946,0.9565019796668867,0.956553343476049,0.9566013684991972,0.9566452390248489,0.9566992425401794,0.956764742716511,0.9568063901375958,0.9568558801887159,0.9568975780991957,0.9569521144371176,0.9570291507118264,0.957070880529458,0.9571217592334582,0.9571603203678041,0.9571809331209793,0.9572152723770009,0.9572579885275188,0.9573131473505898,0.9573595580187019,0.9574064658939558,0.9574708324894148,0.9575274117979358,0.957575235472555,0.9576142976173686,0.9576474813459332,0.9577008027342367,0.9577335504992666,0.9577607728236278,0.9577994981166125,0.9578498148801299,0.9578885480695786,0.9579365691425267,0.9579730615707978,0.9580137029233224,0.9580617906817268,0.9580918728937776,0.9581187090026927,0.9581682052885362,0.9582195889228347,0.9582913418358876,0.9583657989535691,0.95842974296773,0.9584862851648355,0.9585316761653864,0.9585683242686496,0.9586244785719843,0.9586903832723986,0.9587400533452952,0.9587628965659275,0.9588019726004082,0.9588526205931313,0.9588954360724122,0.9589529727938384,0.9590128118834974,0.9590621764943029,0.95909902356948,0.9591284532252372,0.9591862032632443,0.9592439156216885,0.9592993065337733,0.9593230143438444,0.9593696849878618,0.9594051733287583,0.9594471842011635,0.959483201628933,0.95950994553388,0.9595841634480524,0.959614092698271,0.9596794929639235,0.9597067517550448,0.9597670887108006,0.9598096078525596,0.9598508607548233,0.9598939919891895,0.9599390222285248,0.959969613160377,0.9600072093219837,0.9600395314339523,0.9600818171612905,0.9601222312303029,0.9601785485106697,0.9602484266683782,0.9602875094831443,0.960327014547653,0.9603623281823511,0.9604098223460904,0.9604732638160594,0.9605353270591328,0.960581513830719,0.9606319264554077,0.9606982646145095,0.9607435691729466,0.9607756686668658,0.9608177246769447,0.9608643632899023,0.9609167153292499,0.9609602230900112,0.9609999970743781,0.9610632002422882,0.9610949792719552,0.961134701810738,0.9611726376735786,0.9611960066740878,0.9612348464178315,0.9612920580104092,0.9613314538191751,0.9613599138162578,0.9613990511678704,0.9614304626703077,0.961474079408836,0.9615088401731873,0.9615585573388453,0.961593343876107,0.9616413253187592,0.9616759685290115,0.9617234545390517,0.9617634109831623,0.9617846330279718,0.9618297338851823,0.9618716859680326,0.9619159507550725,0.9619758291945415,0.9620149462396658,0.9620513051582856,0.9621227633761447,0.9621690162513553,0.9622176800675475,0.9622705873991859,0.9623012867554243,0.9623580207084084,0.9623869308045456,0.9624332967119202,0.9624748838377496,0.9625137254401708,0.9625624809232602,0.9626111804241961,0.9626576446776958,0.962710669399162,0.9627467484062452,0.9627875863010618,0.9628462470691165,0.9628747981284598,0.9629194644064598,0.9629523141103522,0.9630144696707148,0.9630525366104287,0.9631052616567546,0.9631409885958488,0.9631876429643111,0.9632196044030006,0.9632718860674094,0.9633071908613727,0.9633472313152545,0.9633939618327488,0.9634235037190052,0.9634948849300103,0.9635658563403094,0.9636002979850534,0.9636480471814522,0.9636948812542664,0.9637298190212764,0.9637561974180876,0.9638177538731469,0.9638555643018212,0.9638948138998455,0.963945966561395,0.9640081325286342,0.964045579349023,0.9640911292125984,0.9641413667626162,0.9641740940809652,0.964223746423486,0.9642655487938919,0.9643139475364089,0.9643543503624458,0.9643952083437332,0.9644370338110424,0.9645017458400947,0.9645353980878569,0.9645820071432493,0.9646138921552574,0.9646589942011202,0.9646926722956221,0.964724591371282,0.9647622691983828,0.9648066123820755,0.9648452549438294,0.9648915568366988,0.9649345116610855,0.9649827579372944,0.9650401077137538,0.9650616042429833,0.9650940931706545,0.9651108369988141,0.965146728563686,0.9651821187701137,0.9652136387535838,0.9652418780300489,0.9652757102650519,0.96530685168091,0.965349982205178,0.9653859214335927,0.9654477418509106,0.9655008179680818,0.9655400223328711,0.9655927237715005,0.965623458056912,0.965679124138524,0.9657271984813154,0.9657598401121601,0.9658012048342545,0.9658363562758674,0.9658972430479283,0.9659318068973203,0.9659756335437848,0.9660025809611069,0.9660290560877964,0.9660582562552367,0.966080503970129,0.9661070884336126,0.9661567794774018,0.9662030516987398,0.9662436304153614,0.9662803706647597,0.9663180864155381,0.9663505157517134,0.9663740269996989,0.9663977851181642,0.9664393847577979,0.9664713731652262,0.966518719122852,0.9665381913118458,0.9665947141071103,0.9666488623543624,0.9666745716931818,0.9667100100169079,0.9667342888335526,0.966779340312206,0.9668004746143758,0.966827528933722,0.9668842498029657,0.9669037598344513,0.9669329931180392,0.9669500826247934,0.9670014447651144,0.967036182471416,0.9670745989255322,0.9671135617092922,0.967157279040521,0.9671762900498813,0.9672074440658824,0.9672527180919908,0.9672839116687649,0.9673387573401397,0.9673751596150503,0.9674107031019055,0.9674395040557802,0.9674644678268314,0.9674938368270511,0.967524217961149,0.967546361087725,0.9675932264592376,0.9676371313731421,0.9676777507976962,0.967704771777778,0.9677312184489967,0.9677718091295221,0.967827363007492,0.9678913133208067,0.9679242411839123,0.9679599039188916,0.9679923677237912,0.968033094959581,0.9680809896139585,0.9681168001793461,0.96814444469581,0.9681782824709787,0.9682146781562663,0.9682491060708716,0.9682922976463214,0.9683306322049309,0.9683680371032417,0.9684084110686579,0.9684470980311215,0.9684698496902723,0.9684985720997712,0.9685253365701824,0.9685696582574354,0.9686003469368939,0.968646538717763,0.9686840065359674,0.9687088697437076,0.9687454151925959,0.9687897578487005,0.9688429589505378,0.9688702763398563,0.968916416041428,0.9689446541388289,0.9689944351186108,0.9690231536353853,0.9690391769898861,0.9690952682968211,0.9691294800233534,0.9691577195361888,0.9691913856525555,0.969219753727712,0.9692642803896547,0.969296099573988,0.969344622240063,0.9693897467585069,0.9694314553121589,0.9694751708188581,0.9694996645813033,0.9695388680501688,0.969575156468961,0.9696116096963439,0.969640943288956,0.9696974760555678,0.9697764699625973,0.9698091951263126,0.9698432200062317,0.969865323789419,0.9698983095515028,0.9699347631044044,0.9699992445816478,0.970022985521606,0.9700644143045299,0.9701029202152752,0.9701224183328175,0.9701727011866071,0.9702135110308111,0.9702446517020242,0.97027584788894,0.9702986937416791,0.9703396587466114,0.970400279168853,0.9704456396992591,0.9704856223862927,0.9705498486477915,0.9705816122114216,0.9706315550252249,0.9706636726242416,0.9706974610501433,0.970740642585766,0.9708131325131406,0.9708250346787924,0.9708577224745183,0.9708786641547966,0.9709016339193802,0.9709236072568778,0.9709661779654629,0.9710063059667281,0.9710335861233464,0.9710821223496489,0.9711050000815408,0.9711403484627453,0.9711682382113754,0.9712130328370385,0.9712439453019419,0.971278787393454,0.9713097797945633,0.971335797063219,0.9713717074963065,0.9714145862426603,0.9714515728869835,0.9714981725866554,0.9715227398306807,0.9715466297558061,0.9715840881110379,0.9716224073640721,0.9716826758953959,0.9717286799714787,0.9717757086746408,0.9717968868638909,0.9718325128896426,0.9718592322269306,0.9719221976040889,0.9719493950160456,0.9719884385845864,0.9720199759334736,0.9720459501796849,0.9720780487505165,0.9721111681815365,0.9721523798011792,0.9721860214458863,0.972212416132313,0.972227289684378,0.9722600779141038,0.972286383604759,0.9723145923631341,0.9723428672225851,0.9723926946728143,0.9724195381780727,0.9724576955970996,0.972491544879232,0.9725473108528194,0.9725720463092147,0.9726079440761355,0.9726584865500499,0.9726939547362766,0.9727343475100617,0.9727677436093721,0.9728116765396269,0.9728301537702492,0.9728604987072267,0.9728873945432392,0.9729208852981315,0.9729389190687561,0.9729807998460984,0.9730051754828222,0.9730405045913574,0.9730750683583548,0.9730935310307413,0.9731379121634388,0.9731560004325193,0.973177032103104,0.9732066194622987,0.9732320677366078,0.9732588496977322,0.973291405973412,0.9733179258202465,0.9733315462950314,0.973371858190167,0.9734017948721916,0.9734268309476691,0.9734620005457713,0.9734816121842497,0.9735193554279723,0.9735423083592762,0.9735831836767562,0.9736124462929902,0.9736350872590932,0.9736607117495433,0.9736897158220704,0.9737232710836122,0.9737495078226487,0.9737836832149834,0.9738195295175772,0.9738679750084658,0.9739062044316482,0.9739445553791978,0.9740009900739142,0.9740442099000168,0.9740876605517168,0.9741174741337771,0.9741463159600234,0.9741832638795049,0.9742244445226944,0.9742579272511819,0.9742791606965808,0.9743019972540994,0.9743394959306959,0.9743606222278427,0.9744037812961037,0.9744316797269118,0.97445038590698,0.9744781952953038,0.9745199173540429,0.9745642630593966,0.974590748365121,0.9746162437770663,0.9746341979971471,0.9746613114750694,0.9746903999447499,0.9747126615872818,0.9747330167818022,0.974764986860877,0.9747965925022162,0.9748308299984408,0.9748504761993873,0.974871923912354,0.9748873476866887,0.9749093019579128,0.9749372442828059,0.9749801398714906,0.9750136327118482,0.9750605907789603,0.9750861579413913,0.9751034817017905,0.9751325952639565,0.9751610146409141,0.9751916567960421,0.9752026506074308,0.9752192414566042,0.9752549264234944,0.9752756631944354,0.9752992455066908,0.9753294979243117,0.9753582860259845,0.9753979294161338,0.9754393579593591,0.9754797552619413,0.9755132459144383,0.9755646741147467,0.9755807743170286,0.9756156273448772,0.9756588107615768,0.9757076560792499,0.975740907542513,0.9757683307780659,0.9758013348176254,0.9758210372030686,0.9758560890952712,0.9758825722537157,0.9759204457847835,0.9759472282816235,0.9759856011971098,0.9760119022076439,0.9760417800705128,0.9760825590672371,0.9761120958008582,0.9761257748727813,0.9761631265965933,0.9762073779917592,0.9762414026909852,0.9762726449916225,0.976307366836394,0.9763196289149022,0.9763408767838987,0.9763748184766038,0.9764136295923291,0.9764407340741367,0.9764885774975443,0.9765182619703541,0.9765380747111353,0.976558915099045,0.9765778103581908,0.9766128710354434,0.9766293062647705,0.9766605775277676,0.9766766805165024,0.9766945633962113,0.97671922293678,0.9767538087759708,0.9767764103060299,0.9767933310542509,0.9768360972658767,0.976860070270549,0.9768988499154079,0.9769288665491197,0.9769690174061586,0.9769936897970574,0.9770227650094291,0.9770401418294781,0.9770734271960149,0.9771078122192486,0.9771443508580355,0.977173390514504,0.9771945344485999,0.9772028364366526,0.9772203368377752,0.977251880292154,0.9772712405197919,0.9772983549050761,0.977315822666234,0.9773368114240713,0.9773797104265043,0.9774132785968477,0.9774432873604135,0.9774741961163828,0.977511568362444,0.9775365868739091,0.9775630640749501,0.9775933658218867,0.9776354989260344,0.9776626904415101,0.9777044826966007,0.9777431616731995,0.9777616189071487,0.9777892110858626,0.9778114841756403,0.9778527950096773,0.9778870741871447,0.9779045855268943,0.9779258734915501,0.9779470993233733,0.9780265331176308,0.9780459163792806,0.9780846527348052,0.9781493306744171,0.9781816792945569,0.9782039031466155,0.9782464493204304,0.9782828971777586,0.9783129088892653,0.9783435215354095,0.978383758659536,0.9784253077886711,0.9784550966295239,0.978496738105045,0.9785306842337752,0.9785578365261665,0.9785818135794577,0.978608106771174,0.9786216593350296,0.9786613316448557,0.9786769456415649,0.9787080351496543,0.978751577299663,0.9787685198349876,0.9787916039934721,0.9787975531499492,0.9788195127097309,0.9788668293156061,0.9789214121118726,0.9789384007131068,0.9789830736234988,0.9790212438441709,0.979050075169839,0.9790675536944193,0.9790995866456387,0.9791375613047673,0.9791554872823324,0.9791926253695193,0.9792039690441903,0.9792375027515211,0.9792789282952479,0.9793033591952257,0.9793304876510076,0.9793491995335001,0.9793693740430091,0.9793827005966308,0.9794167655559325,0.979450097604411,0.9794723008524173,0.9795129028027227,0.9795294663140779,0.9795501000592806,0.9795921209368492,0.97961675404563,0.9796338956022139,0.9796578558106631,0.9796835978058864,0.9797330736741753,0.9797599358169926,0.9797886120862823,0.9798259219894875,0.9798499978267554,0.9798812140937234,0.9799041885822938,0.9799246186638605,0.979948855862029,0.979958515227554,0.9799736563333312,0.9800363220194183,0.9800618277893985,0.9800959535552539,0.9801185392914095,0.9801529492555003,0.9801761699889255,0.980195921265688,0.9802298464641116,0.98025446924939,0.9802910879545524,0.9803021093384487,0.9803311157709718,0.9803500940646879,0.9803724150414046,0.9804148402792184,0.9804353344230436,0.9804645260891642,0.9804879784596772,0.9805144029371033,0.9805462540238714,0.980558299475667,0.9805801563623865,0.9805995492208516,0.9806273256953265,0.9806534946775105,0.9807009470476462,0.9807208060892129,0.9807374945287719,0.9807724219494489,0.980813750433864,0.9808306173688699,0.980866091306201,0.9808871400987562,0.9809136139452377,0.9809450089044544,0.9809721713132634,0.9810105878848602,0.9810495911106103,0.9810859768226543,0.9811363912304437,0.9811766504794356,0.981199294743059,0.9812496473662053,0.9812806497073202,0.9813126065947332,0.9813188531371949,0.9813504219016336,0.9813727886500785,0.9814166831479819,0.9814510952539088,0.981487079065226,0.9815503292486344,0.9815958997303227,0.9816406864375095,0.9817046547104049,0.9817498470984654,0.9817970124435209,0.9818449965691289,0.9818988858755805,0.9819519788463448,0.9820012320747582,0.9820283093019397,0.9820658482861951,0.9821338247969926,0.9821861719886844,0.9822073102536729,0.9822466763783351,0.9822963101950344,0.982347146516057,0.9823762714499868,0.9824189222942329,0.9824548616971608,0.9825049104551168,0.9825552088367049,0.9826077317505751,0.9826149907901988,0.9826779859047594,0.9826932158899957,0.9827152694421631,0.9827764461195063,0.9827862210606981,0.9828065102758954,0.9828833528115805,0.9829635730416505,0.9830299337932205,0.9830596257536004,0.9831355254816571,0.9831630079093117,0.9831945381421542,0.9832769680072727,0.9833535483414856,0.983369141094364,0.9834098534980134,0.9834314495643507,0.9834810400351355,0.9835089045275955,0.9835581038341726,0.9835753489587717,0.9836328510873112,0.9836420580862094,0.9836909361992573,0.98371702754923,0.9837606756979469,0.9837866608058218,0.9838533483725892,0.9839865247990394,0.9840050265785903,0.9840952216663792,0.9841198016589275,0.9842121913563057,0.9842458972646202,0.9843183564326184,0.9843358724471756,0.9843986349433514,0.9844178147199449,0.9844917613355338,0.9845563579727208,0.9846788021507206,0.9846967507044824,0.9848140685722995,0.9848538521728798,0.9849173754236132,0.9849441825306725,0.9850639358602057,0.9851004730258366,0.9852059201081418,0.985247751298324,0.9854134198792477,0.985470265805846,0.9856207333533336,0.9856625475602194,0.9858297005038782,0.9858562154276886,0.9860320471975865,0.9861474005643736,0.9863268633739212,0.986344742315929,0.9865377295664922,0.9866092038084094,0.9868102198602154,0.9868758446536504,0.98712473014739,0.9872005857476139,0.9875459188244781,0.9876519909709996,0.9880565621104167,0.9881783150322444,0.9887107381816,0.9888370771079592,0.9889922486122744]},{\\\"line\\\":{\\\"color\\\":\\\"rgba(0, 125, 125, 1)\\\",\\\"width\\\":1},\\\"name\\\":\\\"Ensemble\\\",\\\"type\\\":\\\"scatter\\\",\\\"x\\\":[0.9583103235610663,0.95820995392671,0.9581091812014527,0.9580084084761955,0.9579080388418392,0.957807669207483,0.9577064933913246,0.9576037052115622,0.957502932486305,0.9574013535792456,0.9573009839448894,0.9572002112196322,0.957099841585276,0.9569982626782165,0.9568974899529593,0.9567959110459,0.9566951383206427,0.9565947686862865,0.9564935928701281,0.9563928201448708,0.9562924505105146,0.9561920808761584,0.956089292696396,0.9559865045166336,0.9558857317913763,0.955784959066119,0.9556841863408617,0.9555838167065055,0.9554826408903472,0.955382271255991,0.9552819016216347,0.9551807258054764,0.955078743807516,0.9549779710822588,0.9548771983570015,0.9547768287226452,0.954676459088289,0.9545744770903286,0.9544716889105662,0.95437131927621,0.9542705465509527,0.9541701769165964,0.9540698072822402,0.9539666160115767,0.9538662463772205,0.9537658767428643,0.9536638947449039,0.9535635251105476,0.9534631554761914,0.953359964205528,0.9532595945711717,0.9531592249368155,0.9530588553024593,0.9529556640317958,0.9528552943974395,0.9527541185812812,0.952653748946925,0.9525529762216678,0.9524522034964105,0.9523514307711533,0.9522502549549949,0.9521498853206387,0.9520495156862824,0.9519491460519262,0.9518487764175699,0.9517459882378075,0.9516456186034513,0.951545248969095,0.9514432669711347,0.9513428973367785,0.9512421246115211,0.9511417549771649,0.9510413853428087,0.9509410157084525,0.9508398398922941,0.9507394702579378,0.9506386975326806,0.9505379248074233,0.950435942809463,0.9503347669933047,0.9502343973589484,0.9501312060882849,0.9500296271812256,0.9499260328196611,0.9498256631853049,0.9497252935509487,0.9496249239165925,0.9495245542822361,0.9494241846478799,0.9493226057408206,0.9492222361064644,0.9491206571994051,0.9490174659287416,0.9489138715671771,0.9488135019328209,0.9487131322984647,0.9486127626641084,0.9485123930297521,0.9484100079408907,0.9483096383065345,0.9482092686721783,0.948108899037822,0.9480085294034658,0.9479081597691096,0.9478057746802482,0.9477050019549909,0.9476046323206346,0.9475042626862784,0.9474038930519222,0.9473035234175659,0.9472031537832096,0.9471023810579524,0.947000399059992,0.9469000294256358,0.9467996597912796,0.9466992901569233,0.946598920522567,0.9464985508882108,0.9463961657993494,0.9462957961649932,0.9461913956216267,0.9460801425329426,0.9459797728985864,0.9458794032642301,0.9457774212662697,0.9456742299956064,0.94557386036125,0.9454734907268938,0.9453731210925376,0.9452727514581813,0.945171978732924,0.9450712060076668,0.9449708363733106,0.9448704667389543,0.944769290922796,0.9446689212884397,0.9445685516540835,0.9444681820197273,0.944367812385371,0.9442670396601137,0.9441666700257575,0.9440658973005003,0.9439655276661439,0.9438651580317877,0.9437639822156294,0.9436636125812732,0.943563242946917,0.9434628733125607,0.9433621005873034,0.9432605216802441,0.9431601520458879,0.9430597824115317,0.9429582035044723,0.942857430779215,0.9427429529633228,0.9426417771471645,0.9425414075128082,0.942441037878452,0.9423406682440957,0.9422398955188385,0.9421298517028575,0.9420274666139962,0.9419262907978379,0.9418251149816795,0.9417247453473233,0.941624375712967,0.9415119133515799,0.9414115437172237,0.9413111740828675,0.9412108044485111,0.9411104348141549,0.9410100651797987,0.9409084862727394,0.940807713547482,0.9407069408222248,0.9406057650060665,0.9405045891899082,0.940404219555552,0.9403030437393937,0.9402026741050374,0.9401023044706812,0.940001934836325,0.9399003559292656,0.9397995832040084,0.9396992135696521,0.9395988439352958,0.9394984743009396,0.9393960892120782,0.939295719577722,0.9391953499433657,0.9390949803090095,0.9389946106746533,0.938894241040297,0.9387926621332376,0.9386914863170793,0.938590310500921,0.9384899408665648,0.9383895712322086,0.9382851706888421,0.9381848010544858,0.9380844314201295,0.9379836586948723,0.937883289060516,0.9377829194261598,0.9376817436100015,0.9375813739756452,0.937480601250388,0.9373802316160317,0.9372798619816755,0.9371794923473192,0.937078719622062,0.9369771407150026,0.9368767710806464,0.9367759983553892,0.9366756287210328,0.9365752590866766,0.9364740832705183,0.9363737136361621,0.9362733440018058,0.9361729743674496,0.9360709923694892,0.935970622735133,0.9358686407371727,0.9357682711028164,0.9356679014684601,0.9355675318341039,0.9354671621997477,0.9353659863835894,0.9352656167492331,0.9351652471148769,0.9350648774805206,0.9349641047552634,0.934862928939105,0.9347613500320457,0.9346609803976895,0.9345606107633332,0.934459838038076,0.9343590653128186,0.9342586956784624,0.9341579229532052,0.9340571502279479,0.9339567805935917,0.9338564109592354,0.9337560413248792,0.9336512376906116,0.9335508680562553,0.9334496922400971,0.9333493226057408,0.9332489529713845,0.9331485833370283,0.9330482137026721,0.9329466347956128,0.9328462651612565,0.9327454924359992,0.932645122801643,0.9325447531672868,0.9324435773511285,0.9323432077167723,0.9322428380824159,0.9321420653571587,0.9320416957228025,0.9319413260884462,0.9318409564540899,0.9317405868197337,0.9316402171853775,0.9315398475510213,0.931439477916665,0.9313387051914077,0.9312371262843484,0.9311367566499922,0.9310363870156358,0.9309352111994776,0.9308348415651213,0.9307344719307651,0.9306341022964089,0.9305337326620526,0.9304333630276964,0.930331381029736,0.9302310113953798,0.9301306417610236,0.9300298690357662,0.9299282901287069,0.9298267112216476,0.9297259384963903,0.9296255688620341,0.9295251992276778,0.9294248295933216,0.9293244599589654,0.9292240903246091,0.9291237206902528,0.9290233510558966,0.9289229814215404,0.9288226117871842,0.9287222421528278,0.9286218725184716,0.9285210997932144,0.9284199239770561,0.9283195543426999,0.9282187816174425,0.9281180088921853,0.928017639257829,0.9279172696234728,0.9278168999891165,0.9277165303547603,0.9276161607204041,0.9275157910860479,0.9274138090880875,0.9273134394537312,0.927213069819375,0.9271127001850187,0.9270123305506625,0.9269119609163062,0.92681159128195,0.9267112216475938,0.9266108520132375,0.9265100792879802,0.926409709653624,0.9263093400192678,0.9262085672940105,0.9261077945687533,0.9260070218434959,0.9259066522091397,0.9258062825747835,0.9257055098495262,0.9256051402151699,0.9255047705808137,0.9254039978555564,0.9253032251302992,0.9252028554959429,0.9251020827706856,0.9250017131363294,0.9249009404110721,0.9247997645949138,0.9246989918696565,0.9245986222353003,0.9244982526009441,0.9243970767847858,0.9242967071504294,0.9241963375160732,0.924095564790816,0.9239951951564598,0.9238948255221034,0.9237944558877472,0.9236920707988858,0.9235917011645296,0.9234913315301734,0.9233909618958172,0.9232905922614609,0.9231829669908861,0.9230825973565299,0.9229806153585695,0.9228802457242132,0.922779876089857,0.9226795064555008,0.9225783306393425,0.9224779610049862,0.9223763820979269,0.9222760124635706,0.9221756428292144,0.9220748701039572,0.9219745004696009,0.9218741308352446,0.9217737612008884,0.9216733915665322,0.9215730219321759,0.9214726522978197,0.9213722826634634,0.9212715099382062,0.92117114030385,0.9210707706694937,0.9209695948533354,0.9208688221280781,0.9207676463119198,0.9206672766775635,0.9205669070432073,0.9204665374088511,0.9203661677744949,0.9202657981401385,0.9201642192330792,0.920063849598723,0.9199630768734658,0.9198623041482085,0.9197619345138522,0.9196599525158918,0.9195587766997335,0.9194576008835753,0.919356828158318,0.9192548461603576,0.9191544765260014,0.919053300709843,0.9189529310754868,0.9188525614411306,0.9187517887158733,0.918651419081517,0.9185510494471608,0.9184506798128046,0.9183503101784484,0.9182499405440921,0.9181491678188348,0.9180475889117755,0.9179464130956172,0.9178456403703599,0.9177448676451027,0.9176444980107464,0.9175441283763902,0.9174437587420339,0.9173429860167767,0.9172422132915193,0.9171418436571631,0.9170414740228069,0.9169402982066486,0.9168399285722924,0.9167379465743319,0.9166375769399757,0.9165372073056195,0.9164368376712633,0.916336468036907,0.9162360984025507,0.9161353256772935,0.9160349560429373,0.915934586408581,0.9158338136833237,0.9157334440489675,0.9156322682328092,0.9155302862348488,0.9154295135095916,0.9153291438752353,0.915228774240879,0.9151271953338197,0.9150215855177501,0.9149212158833938,0.9148208462490376,0.9147176549783742,0.914617285344018,0.9145169157096616,0.9144157398935033,0.9143153702591471,0.9142145975338899,0.9141142278995337,0.9140138582651773,0.9139130855399201,0.9138127159055639,0.9137123462712076,0.9136119766368513,0.9135116070024951,0.9134112373681389,0.9133104646428816,0.9132100950085253,0.9131097253741691,0.9130093557398129,0.9129089861054567,0.9128086164711003,0.9127082468367441,0.9126078772023879,0.9125075075680317,0.9124071379336754,0.9123067682993192,0.9122063986649629,0.9121060290306067,0.9120056593962504,0.9119052897618942,0.9118029046730328,0.9117025350386766,0.9116021654043204,0.911501795769964,0.9114014261356078,0.9113010565012516,0.9112006868668954,0.9111003172325391,0.9109987383254797,0.9108975625093215,0.9107955805113611,0.9106952108770049,0.9105944381517476,0.9104920530628862,0.9103916834285299,0.9102909107032727,0.9101897348871144,0.9100889621618571,0.9099881894365999,0.9098878198022436,0.9097874501678873,0.9096870805335311,0.9095855016264718,0.9094851319921156,0.9093847623577593,0.909283586541601,0.9091832169072448,0.9090828472728885,0.9089824776385322,0.908882108004176,0.9087817383698198,0.9086813687354636,0.9085805960102062,0.9084794201940479,0.9083790505596917,0.9082738438345231,0.9081734742001669,0.9080727014749096,0.9079723318405534,0.907871156024395,0.9077699802082367,0.9076692074829795,0.9075684347577222,0.907468065123366,0.9073676954890098,0.9072673258546535,0.9071665531293962,0.90706618349504,0.9069658138606838,0.9068654442263275,0.9067650745919712,0.906664704957615,0.9065635291414567,0.9064607409616943,0.906359565145536,0.9062591955111797,0.9061588258768235,0.9060584562424673,0.905957280426309,0.9058565077010516,0.9057561380666954,0.9056557684323392,0.905555398797983,0.9054550291636266,0.9053546595292704,0.9052534837131121,0.9051527109878549,0.9050523413534987,0.9049519717191424,0.9048511989938851,0.9047500231777268,0.9046496535433706,0.9045492839090143,0.9044473019110539,0.9043469322766977,0.904241322460628,0.9041409528262718,0.9040405831919156,0.9039402135575594,0.9038342006505887,0.9037314124708263,0.9036278181092618,0.9035274484749056,0.9034266757496483,0.9033263061152921,0.9032251302991338,0.9031239544829754,0.9030235848486192,0.9029224090324609,0.9028220393981047,0.902716429582035,0.9026160599476788,0.9025156903133226,0.9024153206789663,0.9023149510446101,0.9022145814102538,0.9021142117758976,0.9020138421415413,0.9019134725071851,0.9018131028728289,0.9017111208748685,0.9016103481496113,0.9015087692425519,0.9014075934263935,0.9013060145193342,0.9012044356122749,0.9011036628870176,0.9010008747072552,0.900900505072899,0.9007997323476418,0.9006993627132854,0.9005985899880282,0.9004945925355627,0.9003942229012064,0.9002938532668502,0.9001926774506919,0.9000919047254347,0.8999915350910784,0.8998907623658211,0.8997903927314649,0.8996900230971087,0.8995884441900494,0.899488074555693,0.8993873018304358,0.8992869321960796,0.8991857563799213,0.8990849836546639,0.8989846140203077,0.8988826320223473,0.8987818592970901,0.8986814896627339,0.8985803138465756,0.8984799442122193,0.8983795745778631,0.8982788018526058,0.8981784322182496,0.8980780625838933,0.897977692949537,0.8978773233151808,0.8977769536808246,0.8976761809555673,0.897575811321211,0.8974754416868548,0.8973750720524986,0.8972747024181423,0.897173929692885,0.8970727538767267,0.8969723842423705,0.8968720146080142,0.896771644973658,0.8966712753393018,0.8965709057049456,0.8964705360705892,0.896370166436233,0.8962697968018768,0.8961694271675206,0.8960690575331643,0.895968284807907,0.8958679151735508,0.8957675455391946,0.8956671759048384,0.8955583413615604,0.8954579717272042,0.8953515557293326,0.8952511860949762,0.89515081646062,0.8950496406444617,0.8949492710101055,0.8948480951939471,0.8947461131959868,0.8946457435616306,0.8945449708363733,0.8944446012020171,0.8943442315676609,0.8942430557515025,0.8941426861171463,0.8940423164827901,0.8939415437575328,0.8938411741231765,0.8937391921252161,0.8936388224908599,0.8935384528565037,0.8934380832221475,0.8933373104968901,0.8932369408625339,0.8931365712281777,0.8930353954120194,0.8929350257776631,0.8928342530524058,0.8927338834180496,0.8926331106927924,0.892532741058436,0.8924315652422777,0.8923311956079215,0.8922308259735653,0.8921304563392091,0.8920300867048528,0.8919297170704966,0.8918285412543383,0.891728171619982,0.8916233679857145,0.8915189674423479,0.8914145668989814,0.891312584901021,0.8912122152666648,0.8911118456323085,0.8910114759979523,0.890911106363596,0.8908038841839223,0.8907031114586651,0.8906027418243088,0.8905023721899525,0.8904020025555963,0.8903016329212401,0.8902004571050818,0.8901000874707256,0.8899997178363693,0.889898945111112,0.8897981723858547,0.8896973996605975,0.8895970300262412,0.889496660391885,0.8893954845757267,0.8892947118504694,0.8891943422161132,0.8890907478545487,0.8889903782201924,0.8888900085858362,0.88878963895148,0.8886892693171237,0.8885884965918665,0.8884881269575102,0.8883877573231539,0.8882873876887977,0.8881862118726394,0.88808463296558,0.8879834571494217,0.8878830875150655,0.8877827178807093,0.887681945155452,0.8875815755210957,0.8874803997049374,0.8873800300705812,0.8872788542544229,0.8871784846200667,0.8870760995312053,0.886975729896849,0.8868753602624928,0.8867749906281366,0.8866746209937804,0.886574251359424,0.8864738817250678,0.8863714966362064,0.8862711270018502,0.886170757367494,0.8860703877331377,0.8859700180987815,0.8858696484644252,0.8857636355574545,0.8856632659230983,0.8855628962887421,0.8854625266543859,0.8853536921111079,0.8852529193858507,0.8851489219333852,0.8850485522990289,0.8849481826646727,0.8848478130303165,0.8847474433959602,0.884647073761604,0.8845467041272478,0.8844463344928915,0.8843447555858321,0.8842431766787728,0.8841424039535155,0.8840420343191593,0.8839412615939021,0.8838408919595458,0.8837405223251895,0.8836401526908333,0.8835397830564771,0.8834394134221208,0.8833382376059625,0.8832370617898042,0.883136692155448,0.8830363225210918,0.8829355497958344,0.8828351801614782,0.8827344074362209,0.8826332316200627,0.8825316527130033,0.882431283078647,0.8823309134442908,0.8822301407190335,0.8821297710846773,0.882029401450321,0.8819286287250638,0.8818282590907075,0.8817278894563513,0.881626310549292,0.8815255378240346,0.8814247650987774,0.8813235892826191,0.8812232196482629,0.8811228500139067,0.8810224803795504,0.8809221107451941,0.8808209349290358,0.8807205652946796,0.8806201956603233,0.8805198260259671,0.8804194563916109,0.8803186836663536,0.8802183140319974,0.8801179443976411,0.8800175747632849,0.8799172051289286,0.8798152231309683,0.879714853496612,0.8796144838622558,0.8795141142278995,0.8794137445935433,0.879313374959187,0.8792130053248308,0.8791126356904746,0.8790118629652173,0.878911493330861,0.8788095113329006,0.8787091416985444,0.8786079658823861,0.8785075962480299,0.8784072266136737,0.8783064538884163,0.8782060842540601,0.8781053115288029,0.8780049418944467,0.8779045722600903,0.8778042026257341,0.8777026237186748,0.8776022540843186,0.8775014813590613,0.877400708633804,0.8772995328176457,0.8771991631832895,0.8770987935489333,0.8769984239145769,0.8768940233712105,0.8767936537368543,0.8766928810115969,0.8765925113772407,0.8764921417428845,0.8763917721085281,0.8762914024741719,0.8761898235671126,0.8760894539327564,0.8759882781165981,0.8758875053913407,0.8757871357569845,0.8756867661226283,0.8755863964882721,0.8754860268539159,0.8753856572195596,0.8752848844943023,0.8751845148599461,0.8750837421346888,0.8749833725003325,0.8748817935932732,0.874781423958917,0.8746794419609566,0.8745786692356994,0.874478299601343,0.8743775268760858,0.8742759479690265,0.8741751752437692,0.874074805609413,0.8739744359750568,0.8738736632497994,0.8737732936154432,0.8736721177992849,0.8735713450740277,0.8734709754396714,0.8733702027144141,0.8732690268982558,0.8731674479911965,0.8730670783568403,0.872966305631583,0.8728655329063257,0.8727651632719695,0.8726647936376132,0.872564424003257,0.8724640543689007,0.8723636847345445,0.872260493463881,0.8721564960114155,0.8720557232861582,0.871955353651802,0.8718549840174458,0.8717546143830895,0.8716542447487333,0.871553472023476,0.8714522962073177,0.8713519265729615,0.8712515569386052,0.8711225678502759,0.8710221982159196,0.8709218285815634,0.8708214589472072,0.870721089312851,0.8706195104057917,0.8705175284078313,0.870417158773475,0.8703167891391188,0.8702164195047625,0.8701144375068022,0.8700132616906439,0.8699128920562876,0.8698125224219314,0.8697113466057731,0.8696065429715055,0.8695061733371493,0.869405803702793,0.8693054340684367,0.8692046613431795,0.869101470072516,0.8690006973472588,0.8688995215311005,0.8687991518967443,0.868697976080586,0.8685959940826256,0.8684956244482693,0.8683952548139131,0.8682940789977548,0.8681937093633986,0.8680933397290423,0.867992970094686,0.8678921973694288,0.8677918277350726,0.8676914581007162,0.86759108846636,0.8674907188320038,0.8673903491976476,0.8672895764723902,0.867189206838034,0.8670888372036778,0.8669880644784206,0.8668876948440642,0.866786922118807,0.8666853432117477,0.8665849735773914,0.8664846039430352,0.8663834281268769,0.8662830584925206,0.8661826888581644,0.8660819161329071,0.8659815464985509,0.8658811768641946,0.8657779855935313,0.8656776159591749,0.8655756339612146,0.8654748612359573,0.8653740885107001,0.8652729126945418,0.8651725430601855,0.8650709641531261,0.8649705945187699,0.8648698217935127,0.8647694521591565,0.8646690825248001,0.8645687128904439,0.8644683432560877,0.8643679736217315,0.8642667978055731,0.8641664281712169,0.8640652523550586,0.8639648827207024,0.8638645130863462,0.8637641434519898,0.8636633707267326,0.8635630010923764,0.8634622283671191,0.8633618587327628,0.8632614890984066,0.8631611194640504,0.8630603467387931,0.8629599771044368,0.8628592043791795,0.8627588347448233,0.8626584651104671,0.8625536614761995,0.8624532918418433,0.862352922207487,0.8622384443915947,0.8621380747572385,0.8620377051228822,0.861937335488526,0.8618369658541698,0.8617365962198136,0.8616362265854572,0.8615354538602,0.8614350842258438,0.8613347145914875,0.8612343449571312,0.861133572231874,0.8610332025975178,0.8609324298722605,0.8608320602379043,0.860731690603548,0.8606313209691918,0.8605309513348355,0.8604301786095783,0.860329808975222,0.8602294393408657,0.8601290697065095,0.8600287000721533,0.859927524255995,0.8598267515307377,0.8597263818963814,0.8596207720803118,0.8595204024459556,0.8594200328115994,0.8593196631772431,0.8592164719065797,0.8591156991813224,0.8590149264560651,0.8589105259126986,0.8588101562783423,0.858708577371283,0.8586074015551247,0.8585058226480654,0.858403437559204,0.8583030679248478,0.8582026982904915,0.8581019255652342,0.858001555930878,0.8579011862965217,0.8578004135712645,0.8576996408460071,0.8575980619389478,0.8574976923045916,0.8573973226702354,0.8572969530358792,0.8571961803106218,0.8570958106762656,0.8569954410419094,0.8568942652257511,0.8567914770459887,0.8566911074116323,0.8565907377772761,0.8564895619611178,0.8563891923267616,0.8562888226924054,0.8561884530580491,0.8560856648782867,0.8559852952439304,0.8558849256095742,0.8557833467025149,0.8556829770681587,0.8555805919792973,0.8554794161631389,0.8553770310742775,0.8552766614399213,0.855175485623763,0.8550702788985944,0.8549691030824361,0.8548683303571788,0.8547679607228226,0.8546667849066643,0.854566415272308,0.8544660456379518,0.8543632574581894,0.8542624847329321,0.8541596965531697,0.8540569083734073,0.85395613564815,0.8538533474683876,0.853748946925021,0.8536485772906648,0.8535482076563086,0.8534474349310514,0.8533454529330909,0.8532446802078336,0.8531439074825764,0.8530435378482202,0.852943168213864,0.8528427985795076,0.8527424289451514,0.8526420593107952,0.852541689676439,0.8524413200420827,0.8523409504077264,0.8522405807733702,0.852140211139014,0.8520390353228556,0.8519386656884994,0.8518382960541432,0.8517371202379849,0.8516367506036286,0.8515287222421528,0.8514283526077966,0.8513275798825393,0.851227210248183,0.8511268406138268,0.8510256647976685,0.8509248920724113,0.850824522438055,0.8507237497127977,0.8506201553512333,0.850519785716877,0.8504190129916197,0.8503186433572635,0.8502182737229073,0.850117904088551,0.8500167282723927,0.8499155524562344,0.8498151828218782,0.8497123946421158,0.8496108157350564,0.8495104461007001,0.8494084641027398,0.8493080944683835,0.8492057093795222,0.8491045335633639,0.8490041639290077,0.8489037942946513,0.848802215387592,0.8487014426623348,0.8486006699370775,0.8485003003027213,0.848399930668365,0.8482983517613057,0.8481979821269494,0.8480976124925932,0.8479948243128308,0.8478916330421673,0.8477912634078111,0.8476892814098508,0.8475792375938698,0.8474772555959095,0.8473768859615531,0.8472765163271969,0.8471761466928407,0.8470757770584845,0.8469754074241282,0.8468722161534648,0.8467718465191085,0.8466714768847523,0.846570704159495,0.8464699314342378,0.8463695617998815,0.846265161256515,0.8461647916221587,0.8460640188969014,0.8459636492625452,0.845863279628189,0.8457629099938327,0.8456625403594764,0.8455617676342192,0.845461397999863,0.8453610283655068,0.8452606587311504,0.8451598860058932,0.845059516371537,0.8449591467371808,0.8448587771028244,0.8447584074684682,0.844658037834112,0.8445572651088546,0.8444560892926964,0.8443533011129339,0.8442525283876767,0.8441521587533205,0.8440517891189642,0.843950613302806,0.8438502436684496,0.8437498740340934,0.8436495043997372,0.8435487316744799,0.8434483620401236,0.8433479924057674,0.8432476227714112,0.8431468500461539,0.8430464804117976,0.8429461107774414,0.8428457411430852,0.842745371508729,0.8426441956925707,0.8425438260582144,0.8424430533329571,0.8423426836986009,0.8422423140642447,0.8421419444298884,0.842039962431928,0.8419363680703635,0.8418359984360073,0.8417315978926407,0.8416312282582845,0.8415308586239283,0.841430085898671,0.8413289100825128,0.8412269280845524,0.8411265584501961,0.8410261888158399,0.8409258191814836,0.8408254495471273,0.8407246768218701,0.8406243071875139,0.8405239375531576,0.8404235679188014,0.840322392102643,0.8402220224682868,0.8401180250158213,0.8400148337451578,0.8399144641108016,0.8398136913855444,0.8397129186602871,0.8396125490259309,0.8395093577552674,0.839408181939109,0.8393078123047528,0.8392074426703966,0.8391062668542383,0.8390054941289811,0.8389047214037237,0.8388043517693675,0.8387027728623082,0.838602403227952,0.8385012274117937,0.8384008577774373,0.8383004881430811,0.8381993123269228,0.8380985396016656,0.8379981699673094,0.837896994151151,0.8377950121531906,0.8376946425188344,0.8375934667026761,0.8374922908865178,0.8373919212521616,0.8372887299814982,0.8371883603471418,0.8370879907127856,0.8369876210784294,0.8368872514440732,0.8367868818097169,0.8366865121753607,0.8365841270864993,0.836483757452143,0.8363825816359848,0.8362773749108161,0.8361725712765485,0.8360722016421923,0.8359714289169351,0.8358710592825788,0.8357706896482225,0.8356703200138663,0.8355699503795101,0.8354695807451539,0.8353671956562925,0.8352664229310351,0.8351656502057779,0.8350652805714217,0.834959670755352,0.8348593011209958,0.8347589314866396,0.8346581587613823,0.834557789127026,0.8344566133108677,0.8343562436765115,0.8342558740421553,0.834155504407799,0.8340551347734427,0.8339547651390865,0.8338543955047303,0.8337540258703741,0.8336536562360178,0.8335532866016615,0.8334517076946022,0.833351338060246,0.8332509684258897,0.8331505987915335,0.8330498260662762,0.8329474409774148,0.8328470713430586,0.8327366244361766,0.8326358517109194,0.8325354820765631,0.8324318877149987,0.8323315180806423,0.8322311484462861,0.8321299726301278,0.8320296029957716,0.8319284271796132,0.831828057545257,0.8317276879109008,0.8316273182765446,0.8315265455512872,0.83142577282603,0.8313217753735644,0.8312197933756041,0.8311194237412479,0.8310174417432875,0.8309170721089313,0.830816299383674,0.8307159297493177,0.8306139477513574,0.8305135781170012,0.8304132084826449,0.8303128388482887,0.8302124692139324,0.8301120995795762,0.83001172994522,0.8299109572199627,0.8298097814038043,0.8297090086785471,0.8296082359532898,0.8295034323190222,0.829403062684666,0.8293022899594088,0.8292019203250525,0.8291011475997953,0.829000777965439,0.8288991990583796,0.8287988294240234,0.8286984597896672,0.8285932530644986,0.8284928834301424,0.828392513795786,0.8282901287069246,0.8281897590725684,0.8280885832564101,0.8279878105311529,0.8278874408967967,0.8277854588988363,0.82768508926448,0.8275847196301238,0.8274843499957676,0.8273815618160051,0.8272811921816489,0.8271788070927875,0.8270768250948272,0.8269764554604709,0.8268756827352136,0.8267749100099564,0.8266745403756001,0.8265741707412438,0.8264733980159866,0.8263698036544221,0.8262682247473627,0.8261678551130065,0.8260670823877493,0.8259651003897889,0.8258619091191255,0.8257615394847692,0.8256591543959079,0.8255587847615515,0.8254580120362943,0.8253576424019381,0.8252572727675818,0.8251565000423245,0.8250561304079683,0.8249557607736121,0.8248549880483548,0.8247542153230976,0.8246538456887412,0.824553476054385,0.8244531064200288,0.8243527367856726,0.8242459176968998,0.8241451449716426,0.8240447753372863,0.823943196430227,0.8238428267958707,0.8237420540706135,0.8236416844362572,0.823541314801901,0.8234381235312376,0.8233377538968812,0.823237384262525,0.8231362084463667,0.8230342264484064,0.8229338568140502,0.8228334871796938,0.8227311020908326,0.8226307324564762,0.82253036282212,0.8224299931877638,0.8223296235534076,0.8222288508281502,0.822128078102893,0.8220264991958337,0.8219245171978733,0.8218241475635171,0.8217237779291608,0.8216234082948045,0.8215230386604483,0.8214226690260921,0.8213206870281318,0.8212199143028744,0.8211195446685182,0.821019175034162,0.8209184023089047,0.8208180326745484,0.8207168568583901,0.8206160841331329,0.8205141021351725,0.8204133294099152,0.8203105412301528,0.8202101715957966,0.8201093988705392,0.820009029236183,0.8199086596018268,0.8198082899674706,0.8197079203331143,0.8196075506987581,0.8195071810644018,0.8194068114300456,0.8193056356138873,0.819205265979531,0.8191044932542738,0.8190029143472144,0.8189021416219572,0.818801771987601,0.8187014023532447,0.8186006296279874,0.818498244539126,0.8183962625411657,0.8182954898159084,0.8181943139997501,0.8180895103654825,0.8179891407311263,0.8178831278241556,0.8177827581897994,0.817679970010037,0.8175796003756807,0.8174788276504235,0.8173784580160672,0.817278088381711,0.8171773156564537,0.8170761398402954,0.8169757702059391,0.8168754005715829,0.8167750309372267,0.8166746613028704,0.8165597803960771,0.8164594107617209,0.8163590411273647,0.8162586714930083,0.81615749567685,0.8160567229515928,0.8159555471354345,0.8158547744101773,0.8157527924122169,0.8156524227778607,0.8155516500526033,0.815450071145544,0.8153488953293857,0.8152485256950295,0.8151433189698609,0.8150425462446036,0.8149421766102474,0.8148418069758911,0.8147390187961288,0.8146386491617724,0.8145378764365152,0.814437506802159,0.8143367340769017,0.8142363644425454,0.814134382444585,0.8140340128102288,0.8139336431758726,0.8138324673597143,0.813730888452655,0.8136297126364966,0.8135293430021404,0.8134285702768831,0.8133282006425269,0.8132278310081706,0.8131262521011113,0.813025479375854,0.8129251097414978,0.8128239339253395,0.8127235642909832,0.812623194656627,0.8125224219313697,0.8124220522970135,0.8123212795717563,0.8122209099374,0.8121185248485386,0.8120177521232813,0.8119173824889251,0.8118170128545689,0.8117166432202126,0.8116158704949553,0.811515097769698,0.8114147281353418,0.8113143585009855,0.8112139888666293,0.811113216141372,0.8110128465070158,0.8109092521454513,0.8108088825110951,0.8107085128767388,0.8106081432423826,0.8105077736080264,0.8104074039736701,0.8103066312484128,0.8102054554322545,0.8101050857978983,0.8100047161635421,0.8099043465291857,0.8098039768948295,0.8097036072604733,0.8096012221716119,0.8095008525372557,0.8094004829028995,0.8092997101776421,0.8091993405432859,0.8090989709089297,0.8089986012745735,0.8088982316402172,0.8087978620058609,0.8086974923715047,0.8085971227371485,0.8084963500118911,0.8083959803775349,0.8082944014704756,0.8081928225634163,0.8080924529290601,0.8079920832947037,0.8078917136603475,0.8077885223896841,0.8076877496644268,0.8075869769391696,0.807482979486704,0.8073826098523478,0.8072802247634864,0.8071790489473281,0.8070786793129718,0.8069783096786156,0.8068710874989419,0.8067699116827836,0.8066687358666252,0.806567963141368,0.8064675935070118,0.8063672238726555,0.8062664511473983,0.8061640660585369,0.8060636964241806,0.8059633267898244,0.8058593293373588,0.8057581535212006,0.8056557684323392,0.8055553987979829,0.8054526106182205,0.8053522409838643,0.805250662076805,0.8051502924424487,0.8050442795354781,0.8049435068102208,0.8048431371758645,0.8047427675415083,0.8046423979071521,0.8045420282727958,0.8044412555475385,0.8043400797313802,0.804239710097024,0.8041389373717667,0.8040385677374104,0.8039373919212521,0.8038370222868959,0.8037358464707376,0.8036338644727773,0.803533494838421,0.8034331252040647,0.8033327555697085,0.8032279519354409,0.8031275823010847,0.8030272126667285,0.8029256337596692,0.8028252641253129,0.8027248944909566,0.8026241217656994,0.8025205274041349,0.8024201577697787,0.8023197881354224,0.8022186123192642,0.8021174365031059,0.8020154545051454,0.8019150848707892,0.801814715236433,0.8017139425111757,0.8016123636041164,0.801511590878859,0.8014079965172947,0.8013072237920373,0.8012052417940769,0.8011048721597207,0.8010040994344635,0.8009033267092062,0.8008021508930478,0.8007017812586916,0.8006014116243354,0.8005010419899792,0.800400672355623,0.8003003027212666,0.8001999330869104,0.8000995634525542,0.7999951629091876,0.7998947932748314,0.7997940205495742,0.7996936509152179,0.7995932812808616,0.7994929116465054,0.7993913327394461,0.7992909631050898,0.7991905934707336,0.7990898207454763,0.7989894511111201,0.7988882752949618,0.7987858902061004,0.7986851174808431,0.7985847478464868,0.7984843782121306,0.7983836054868734,0.798280817307111,0.7981804476727546,0.7980800780383984,0.7979764836768339,0.7978761140424777,0.7977745351354184,0.7976737624101611,0.7975733927758049,0.7974726200505476,0.7973714442343893,0.7972710746000331,0.7971698987838748,0.7970695291495186,0.7969667409697561,0.7968663713353998,0.7967655986101426,0.7966648258848853,0.7965644562505291,0.7964640866161729,0.7963637169818165,0.7962633473474603,0.796161768440401,0.7960613988060448,0.7959594168080844,0.7958590471737281,0.7957586775393719,0.7956575017232136,0.7955571320888574,0.7954555531817981,0.7953551835474418,0.7952548139130855,0.7951544442787293,0.795054074644373,0.7949537050100168,0.7948525291938585,0.7947517564686012,0.794650983743344,0.7945453739272743,0.7944417795657098,0.7943414099313536,0.7942398310242943,0.7941394613899381,0.7940390917555818,0.7939387221212255,0.7938383524868693,0.793737176670711,0.7936368070363548,0.7935356312201964,0.7934352615858402,0.7933340857696819,0.7932337161353257,0.7931333465009694,0.793031364503009,0.7929309948686528,0.7928306252342966,0.7927302555999404,0.7926286766928811,0.7925283070585247,0.7924279374241685,0.7923271646989113,0.7922255857918519,0.7921244099756937,0.7920236372504363,0.7919232676160801,0.7918224948908228,0.7917221252564666,0.7916217556221103,0.7915213859877541,0.7914210163533979,0.7913206467190416,0.7912202770846853,0.7911195043594281,0.7910191347250719,0.7909187650907156,0.7908183954563593,0.790717219640201,0.7906164469149438,0.7905160772805876,0.7904153045553303,0.790314934920974,0.7902145652866178,0.7901137925613605,0.7900130198361033,0.7899062007473305,0.7898058311129743,0.7897018336605088,0.7895994485716474,0.7894990789372911,0.7893987093029349,0.7892979365776777,0.7891975669433214,0.789095988036262,0.7889948122201037,0.7888928302221434,0.7887920574968861,0.7886916878625299,0.7885884965918665,0.7884881269575101,0.7883873542322529,0.7882869845978967,0.788181777872728,0.7880797958747677,0.7879794262404115,0.7878790566060553,0.7877754622444908,0.7876726740647283,0.7875674673395597,0.7874658884325004,0.7873655187981442,0.787265149163788,0.7871647795294316,0.7870644098950754,0.7869640402607192,0.786863670626363,0.7867628979011057,0.7866625282667494,0.7865609493596901,0.7864601766344328,0.7863598070000766,0.7862594373657203,0.786156649185958,0.7860562795516017,0.7859559099172454,0.7858555402828892,0.785755170648533,0.7856548010141767,0.7855532221071174,0.7854524493818601,0.7853520797475039,0.7852464699314342,0.785146100297078,0.7850457306627218,0.7849453610283655,0.7848385419395928,0.7847377692143356,0.7846373995799792,0.784537029945623,0.7844366603112668,0.7843354844951085,0.7842306808608409,0.7841303112264847,0.7840295385012274,0.7839291688668711,0.7838287992325149,0.7837280265072577,0.7836268506910994,0.783524868693139,0.7834244990587828,0.7833233232426244,0.7832225505173672,0.7831217777921099,0.7830201988850506,0.7829190230688923,0.7828130101619216,0.7827126405275654,0.7826114647114071,0.7825102888952488,0.7824095161699915,0.7823079372629321,0.7822075676285759,0.7821067949033187,0.7820060221780614,0.7819040401801011,0.7818024612730416,0.7817016885477844,0.7816013189134282,0.7814997400063688,0.7813993703720126,0.7812953729195471,0.7811893600125764,0.7810813316511006,0.7809809620167444,0.7808805923823882,0.7807786103844278,0.7806766283864675,0.7805762587521112,0.7804758891177549,0.7803747133015967,0.7802715220309332,0.780171152396577,0.7800707827622207,0.7799704131278644,0.7798684311299041,0.7797664491319437,0.7796648702248844,0.7795645005905282,0.779464130956172,0.7793633582309146,0.7792621824147563,0.7791614096894991,0.7790610400551429,0.7789598642389846,0.7788594946046283,0.778759124970272,0.7786583522450148,0.7785575795197575,0.7784568067945002,0.778356437160144,0.7782560675257877,0.7781540855278274,0.7780529097116691,0.7779525400773128,0.7778509611702535,0.7777505915358972,0.777650221901541,0.7775498522671848,0.7774486764510264,0.7773470975439671,0.7772447124551057,0.7771443428207495,0.7770439731863933,0.7769436035520371,0.7768432339176807,0.7767408488288194,0.7766400761035621,0.7765389002874038,0.7764377244712455,0.7763365486550872,0.7762285202936114,0.7761281506592552,0.7760277810248989,0.7759249928451365,0.7758238170289782,0.7757210288492158,0.7756206592148596,0.7755186772168992,0.7754170983098398,0.7753163255845826,0.7752131343139191,0.7751111523159587,0.7750043332271861,0.7749039635928299,0.7748031908675725,0.7747028212332163,0.7746024515988601,0.7745016788736028,0.7744009061483456,0.7743005365139892,0.774200166879633,0.7740981848816727,0.7739978152473164,0.7738966394311582,0.7737954636149998,0.7736950939806436,0.7735927088917822,0.7734923392574259,0.7733911634412677,0.7732891814433073,0.773188811808951,0.7730848143564856,0.7729828323585252,0.7728768194515545,0.7727764498171983,0.7726740647283369,0.7725728889121786,0.7724721161869214,0.772371746552565,0.7722713769182088,0.7721710072838526,0.7720706376494963,0.7719702680151401,0.7718698983807839,0.7717691256555266,0.7716683529302693,0.771567580205012,0.7714664043888537,0.7713632131181903,0.771262843483834,0.7711616676676757,0.7710608949424185,0.7709601222171611,0.7708577371282999,0.7707569644030425,0.7706565947686863,0.7705562251343301,0.7704558554999738,0.7703550827747165,0.7702547131403603,0.7701543435060041,0.7700535707807468,0.7699523949645884,0.7698516222393312,0.7697512526049749,0.7696500767888167,0.7695493040635594,0.769446918974698,0.7693457431585397,0.7692453735241834,0.7691450038898272,0.7690418126191637,0.7689414429848075,0.7688394609868472,0.7687390913524909,0.7686379155363326,0.7685367397201743,0.768436370085818,0.7683360004514618,0.7682356308171056,0.7681348580918483,0.768034085366591,0.7679333126413338,0.7678321368251755,0.7677317671908191,0.7676313975564629,0.7675310279221067,0.7674306582877505,0.7673302886533943,0.7672283066554338,0.7671275339301766,0.7670263581140183,0.7669118802981261,0.7668094952092647,0.7667079163022054,0.766607143576948,0.7665067739425918,0.7664060012173345,0.7663052284920773,0.76620445576682,0.7661036830415627,0.7660025072254044,0.7659013314092461,0.7658009617748899,0.7657005921405337,0.7655978039607712,0.7654974343264149,0.7653970646920587,0.7652966950577025,0.7651947130597421,0.7650919248799797,0.7649907490638214,0.7648899763385641,0.7647896067042078,0.7646876247062475,0.7645860457991882,0.7644844668921288,0.7643840972577726,0.7642829214416142,0.7641769085346436,0.7640761358093864,0.763974153811426,0.7638733810861688,0.7637709959973074,0.763668207817545,0.7635678381831887,0.7634622283671191,0.7633614556418618,0.7632610860075055,0.7631607163731493,0.7630599436478921,0.7629591709226348,0.7628588012882785,0.7627572223812192,0.7626447600198321,0.7625403594764656,0.7624399898421093,0.7623388140259509,0.7622384443915947,0.7621376716663375,0.7620373020319813,0.7619369323976249,0.7618365627632687,0.7617333714926053,0.761633001858249,0.7615326322238928,0.7614322625895366,0.7613266527734669,0.7612258800482097,0.7611255104138535,0.7610251407794972,0.7609247711451409,0.7608244015107847,0.7607236287855275,0.7606232591511711,0.7605228895168149,0.7604225198824587,0.760316506975488,0.7602161373411318,0.7601157677067756,0.7600153980724194,0.759914625347162,0.7598142557128058,0.7597126768057465,0.7596119040804892,0.759511131355232,0.7594107617208756,0.7593103920865194,0.7592055884522518,0.7591032033633904,0.7590028337290342,0.7589012548219749,0.7588008851876187,0.7587005155532625,0.7586001459189061,0.7584981639209458,0.7583961819229854,0.7582941999250251,0.7581918148361637,0.7580902359291044,0.7579890601129461,0.7578882873876888,0.7577867084806295,0.7576863388462732,0.7575855661210159,0.7574835841230556,0.7573828113977983,0.7572820386725411,0.7571816690381848,0.7570812994038285,0.7569793174058682,0.7568773354079078,0.7567769657735516,0.7566741775937892,0.7565734048685319,0.7564730352341756,0.7563702470544132,0.7562690712382549,0.7561682985129977,0.7560679288786414,0.7559675592442852,0.7558667865190279,0.7557652076119685,0.7556648379776123,0.7555640652523551,0.7554616801634937,0.7553613105291375,0.755258522349375,0.7551581527150187,0.7550577830806625,0.7549566072645042,0.7548542221756428,0.7547538525412866,0.7546530798160294,0.754552710181673,0.7544523405473168,0.7543519709129606,0.7542511981877034,0.7541480069170399,0.7540464280099806,0.7539432367393171,0.7538352083778412,0.753734435652584,0.7536340660182278,0.7535336963838716,0.7534333267495152,0.753332957115159,0.7532325874808028,0.7531314116646445,0.7530245925758717,0.7529242229415155,0.7528194193072479,0.7527186465819907,0.7526178738567334,0.7525175042223772,0.75241673149712,0.7523163618627636,0.7522159922284074,0.7521156225940512,0.7520136405960908,0.7519132709617345,0.7518124982364773,0.7517064853295067,0.7516061156951505,0.7515057460607941,0.7514053764264379,0.7513046037011807,0.7512022186123193,0.7510986242507548,0.7509982546163986,0.7508974818911412,0.7507934844386758,0.7506902931680123,0.7505838771701406,0.7504835075357844,0.7503654019017829,0.7502650322674266,0.7501610348149611,0.7500606651806049,0.7499602955462487,0.7498583135482882,0.749757943913932,0.7496571711886748,0.7495563984634175,0.7494552226472592,0.749354449922002,0.7492540802876456,0.7491537106532894,0.7490525348371311,0.7489505528391708,0.7488501832048146,0.7487498135704582,0.748649040845201,0.7485470588472406,0.7484462861219834,0.7483455133967261,0.7482451437623698,0.7481431617644095,0.7480419859482512,0.7479404070411919,0.7478400374068356,0.7477376523179742,0.7476360734109149,0.7475357037765586,0.7474353341422024,0.7473349645078462,0.7472345948734899,0.7471342252391336,0.7470334525138764,0.7469318736068171,0.7468311008815598,0.7467299250654015,0.7466295554310453,0.746529185796689,0.7464288161623328,0.7463276403461745,0.7462264645300162,0.74612609489566,0.7460257252613037,0.7459237432633433,0.7458233736289871,0.7457221978128288,0.7456218281784726,0.7455194430896112,0.7454182672734528,0.7453158821845914,0.7452098692776208,0.7451094996432646,0.7450083238271062,0.74490795419275,0.7448071814674927,0.7447068118331365,0.7446044267442751,0.7445032509281168,0.7444028812937605,0.7443025116594043,0.7442021420250481,0.7441013692997908,0.7440005965745335,0.7439002269401773,0.7437978418513159,0.7436950536715534,0.7435946840371972,0.7434935082210389,0.7433927354957817,0.7432923658614254,0.7431919962270692,0.7430916265927129,0.7429904507765546,0.7428900811421983,0.74278890532604,0.7426885356916838,0.7425853444210204,0.7424841686048621,0.7423805742432976,0.7422802046089414,0.7421794318836841,0.7420790622493278,0.7419778864331695,0.7418755013443081,0.7417751317099519,0.7416747620755957,0.7415731831685364,0.741472410443279,0.7413712346271207,0.7412704619018635,0.7411684799039031,0.7410669009968438,0.7409661282715865,0.7408657586372303,0.7407629704574679,0.7406593760959034,0.7405590064615472,0.7404586368271909,0.7403582671928347,0.7402578975584784,0.740155512469617,0.7400551428352607,0.7399547732009045,0.7398544035665483,0.73975322775039,0.7396520519342317,0.7395512792089745,0.7394509095746181,0.7393501368493609,0.7392497672150047,0.7391489944897474,0.739047415582688,0.7389466428574307,0.7388458701321735,0.7387450974069162,0.7386410999544507,0.7385395210473914,0.7384351205040248,0.7383327354151634,0.7382311565081041,0.7381299806919458,0.7380288048757876,0.7379260166960251,0.7378244377889658,0.7377240681546096,0.7376172490658368,0.7375164763405796,0.7374148974335202,0.7373133185264609,0.7372117396194016,0.7371113699850453,0.7370069694416788,0.736898941080203,0.7367985714458467,0.7366977987205895,0.7365974290862333,0.736497059451877,0.7363954805448176,0.7362951109104614,0.7361943381852042,0.7360927592781448,0.7359911803710855,0.7358908107367292,0.7357900380114719,0.7356892652862147,0.7355888956518585,0.7354885260175023,0.7353869471104428,0.7352865774760866,0.7351858047508294,0.7350854351164731,0.7349846623912158,0.7348830834841565,0.7347823107588992,0.7346779102155327,0.7345763313084733,0.7344751554923151,0.7343747858579588,0.7342715945872954,0.7341712249529392,0.7340704522276819,0.7339640362298102,0.7338620542318498,0.7337616845974936,0.7336613149631374,0.7335609453287811,0.7334601726035238,0.7333598029691676,0.7332586271530093,0.7331554358823458,0.7330546631570886,0.7329538904318312,0.7328523115247719,0.7327519418904157,0.7326515722560595,0.7325459624399898,0.7324455928056336,0.7323452231712774,0.7322448535369211,0.7321444839025648,0.7320441142682086,0.7319437446338524,0.7318429719085952,0.7317421991833378,0.7316418295489816,0.7315414599146254,0.731440687189368,0.7313387051914078,0.7312367231934473,0.7311363535590911,0.7310359839247349,0.7309356142903787,0.7308348415651214,0.7307344719307651,0.7306336992055078,0.7305321202984485,0.7304305413913892,0.730330171757033,0.7302298021226766,0.7301290293974194,0.7300286597630632,0.7299278870378059,0.729819455585429,0.7297190859510728,0.7296154915895083,0.729513509591548,0.729403465775567,0.7293026930503098,0.7292023234159535,0.7291007445088942,0.728999971783637,0.7288996021492807,0.7287992325149244,0.7286976536078651,0.7285972839735089,0.7284957050664496,0.7283953354320933,0.728294965797737,0.7281865343453602,0.728085761620103,0.7279841827130437,0.7278838130786873,0.7277834434443311,0.7276830738099749,0.7275818979938166,0.7274791098140542,0.7273779339978959,0.7272775643635396,0.7271771947291834,0.7270764220039261,0.7269760523695699,0.7268652023717869,0.7267648327374306,0.7266636569212723,0.7265604656506088,0.7264596929253516,0.7263589202000943,0.7262581474748371,0.7261577778404809,0.7260570051152235,0.7259562323899663,0.72585586275561,0.7257538807576497,0.7256531080323924,0.7255487074890259,0.7254483378546696,0.7253475651294123,0.725245986222353,0.7251452134970957,0.7250448438627395,0.7249444742283833,0.724844104594027,0.7247433318687697,0.7246409467799083,0.7245405771455521,0.7244402075111959,0.7243390316950375,0.7242382589697802,0.724137889335424,0.7240185744287194,0.7239141738853528,0.7238138042509966,0.7237134346166404,0.7236130649822842,0.723512695347928,0.7234103102590665,0.7233099406247103,0.7232067493540468,0.7231063797196906,0.7230035915399282,0.7229028188146709,0.7228024491803147,0.7227016764550573,0.7226013068207011,0.7224997279136418,0.7223993582792856,0.7222973762813252,0.7221945881015628,0.7220926061036024,0.7219922364692462,0.7218918668348899,0.7217910941096327,0.7216907244752764,0.7215895486591181,0.7214887759338608,0.7213880032086035,0.7212876335742473,0.7211872639398911,0.7210852819419308,0.7209849123075744,0.7208833334005151,0.7207829637661589,0.7206805786772975,0.7205802090429413,0.7204798394085851,0.7203794697742287,0.7202786970489715,0.7201783274146153,0.7200779577802591,0.7199767819641008,0.7198760092388434,0.719773624149982,0.7196724483338237,0.7195712725176655,0.7194700967015072,0.7193681147035468,0.7192673419782896,0.7191669723439332,0.719065796527775,0.7189654268934187,0.7188630418045574,0.7187626721702011,0.7186618994449439,0.7185558865379732,0.7184551138127159,0.7183543410874587,0.7182531652713003,0.718151989455142,0.7180500074571816,0.7179496378228254,0.7178444310976568,0.7177436583723995,0.7176432887380433,0.7175429191036871,0.7174425494693308,0.7173417767440735,0.7172414071097173,0.717140231293559,0.7170394585683018,0.7169382827521434,0.7168379131177872,0.7167310940290145,0.7166303213037573,0.7165299516694009,0.7164287758532427,0.7163267938552823,0.7162264242209261,0.7161260545865699,0.7160252818613125,0.7159249122269563,0.7158245425926001,0.7157213513219366,0.7156209816875804,0.715518596598719,0.7154166146007587,0.7153138264209962,0.71521345678664,0.7151086531523724,0.7150078804271152,0.7149071077018578,0.7148063349766006,0.7147047560695412,0.714604386435185,0.7145040168008288,0.7144028409846704,0.7142964249867988,0.7141952491706405,0.7140944764453832,0.7139937037201259,0.7138909155403635,0.7137905459060072,0.713689370089849,0.7135817448192742,0.7134801659122149,0.7133789900960565,0.7132766050071951,0.7131758322819379,0.7130742533748786,0.7129726744678192,0.7128710955607599,0.7127654857446902,0.712665116110334,0.7125639402941757,0.7124615552053144,0.7123607824800571,0.7122600097547997,0.7121596401204435,0.7120588673951863,0.711958094669929,0.7118577250355728,0.7117565492194144,0.7116561795850582,0.7115554068598009,0.7114538279527416,0.7113530552274844,0.7112526855931282,0.7111482850497616,0.7110458999609002,0.7109443210538409,0.7108431452376825,0.7107419694215242,0.710641599787168,0.7105412301528118,0.7104404574275545,0.7103392816113961,0.7102389119770399,0.7101369299790796,0.7100361572538223,0.7099353845285651,0.7098346118033078,0.7097334359871494,0.709629035443783,0.7095286658094266,0.7094282961750704,0.7093275234498132,0.7092190919974364,0.7091159007267729,0.7090155310924167,0.7089151614580604,0.7088147918237042,0.7087136160075459,0.7086132463731896,0.7085096520116252,0.7084056545591596,0.7083024632884962,0.7082012874723379,0.7081009178379817,0.7080005482036253,0.7079001785692691,0.7077985996622098,0.7076950053006453,0.7075942325753881,0.7074930567592298,0.7073914778521705,0.7072903020360122,0.7071875138562497,0.7070641680405348,0.7069637984061786,0.7068626225900203,0.706761849864763,0.7066602709577037,0.7065599013233475,0.7064591285980901,0.7063587589637339,0.7062555676930705,0.7061551980587142,0.706054425333457,0.7059528464263977,0.7058512675193382,0.705750494794081,0.7056493189779227,0.7055469338890613,0.7054465642547051,0.7053457915294478,0.7052442126223885,0.7051438429880322,0.7050374269901606,0.7049370573558043,0.704836687721448,0.7047363180870918,0.7046319175437253,0.7045303386366659,0.7044263411842004,0.7043259715498442,0.7042243926427849,0.7041191859176162,0.7040172039196559,0.7039152219216955,0.7038108213783291,0.7037088393803687,0.7036052450188042,0.7034988290209325,0.7033980562956752,0.703297283570418,0.7031965108451607,0.7030945288472004,0.702993756121943,0.7028921772148837,0.7027914044896264,0.7026910348552702,0.7025898590391119,0.7024894894047556,0.7023891197703994,0.7022887501360432,0.702188380501687,0.7020880108673306,0.7019852226875682,0.701884449962311,0.7017840803279548,0.7016829045117965,0.7015821317865392,0.7014789405158758,0.7013785708815194,0.7012777981562622,0.7011762192492029,0.7010754465239456,0.7009750768895894,0.700874304164332,0.7007727252572727,0.7006723556229165,0.7005711798067582,0.7004691978087979,0.7003684250835406,0.7002672492673823,0.700166073451224,0.7000636883623625,0.6999633187280063,0.6998629490936501,0.6997625794592939,0.6996622098249377,0.6995610340087793,0.6994606643744231,0.6993598916491658,0.6992595220148096,0.699154718380542,0.6990543487461858,0.6989531729300275,0.6988524002047701,0.6987512243886119,0.6986496454815525,0.6985472603926911,0.6984468907583349,0.6983453118512756,0.6982429267624142,0.698142154037157,0.6980409782209986,0.6979393993139393,0.697838626588682,0.6977374507725237,0.6976370811381675,0.6975363084129101,0.6974335202331478,0.6973323444169894,0.6972319747826332,0.6971295896937718,0.6970251891504053,0.6969232071524449,0.6968224344271877,0.6967216617019304,0.696619276613069,0.6965185038878118,0.6964181342534554,0.6963165553463961,0.6962149764393368,0.6961142037140796,0.6960110124434161,0.6959106428090599,0.69580100208398,0.6956994231769206,0.6955946195426531,0.6954942499082968,0.6953938802739406,0.6952931075486833,0.695192334823426,0.6950871280982575,0.6949867584639012,0.6948851795568418,0.6947827944679805,0.6946812155609211,0.6945800397447628,0.6944780577468025,0.6943772850215452,0.6942769153871889,0.6941709024802183,0.6940701297549611,0.6939697601206049,0.6938689873953475,0.6937686177609913,0.693667038853932,0.6935573981288521,0.6934570284944958,0.6933566588601395,0.6932558861348823,0.693155516500526,0.6930547437752688,0.6929531648682095,0.6928515859611502,0.6927512163267938,0.6926504436015366,0.6925492677853783,0.6924488981510221,0.6923477223348637,0.6922433217914972,0.69214254906624,0.6920409701591806,0.6919406005248243,0.691838618526864,0.6917338148925964,0.6916322359855371,0.6915282385330715,0.6914274658078143,0.691326289991656,0.6912255172663987,0.6911227290866363,0.6910199409068739,0.6909187650907156,0.6908183954563594,0.690717219640201,0.6906140283695377,0.6905128525533794,0.690412482919023,0.6903117101937658,0.6902113405594096,0.6901101647432513,0.690009795108895,0.6899094254745388,0.6898086527492815,0.6897074769331232,0.6896050918442618,0.6895043191190046,0.6894015309392421,0.6893003551230839,0.6891995823978265,0.6890971973089651,0.6889948122201037,0.6888944425857475,0.6887940729513913,0.6886916878625299,0.6885913182281737,0.6884897393211143,0.688388966595857,0.6882861784160946,0.6881858087817384,0.6880822144201739,0.6879798293313125,0.6878778473333521,0.6877722375172826,0.6876706586102231,0.6875698858849659,0.6874683069779066,0.6873647126163421,0.6872639398910848,0.6871631671658276,0.6870615882587683,0.686961218624412,0.6868608489900557,0.6867596731738974,0.686656481903234,0.6865553060870757,0.6864549364527195,0.686352148272957,0.6862513755476998,0.6861506028224424,0.6860502331880862,0.685949460462829,0.6858490908284727,0.6857467057396114,0.6856455299234531,0.6855443541072948,0.6854431782911364,0.6853415993840771,0.6852400204770178,0.6851388446608595,0.6850380719356022,0.6849348806649388,0.6848175812127393,0.6847172115783831,0.6846164388531257,0.6845148599460664,0.6844132810390071,0.6843129114046509,0.6842081077703833,0.684106528863324,0.6840061592289677,0.6839057895946115,0.6838042106875521,0.6837034379622948,0.6836006497825324,0.68349786160277,0.6833966857866117,0.6832943006977503,0.6831890939725818,0.6830871119746214,0.6829831145221559,0.6828819387059976,0.6827811659807403,0.682678780891879,0.6825784112575227,0.6824752199868592,0.6823692070798886,0.6822615818093138,0.6821583905386503,0.6820539899952839,0.6819536203609275,0.6818528476356703,0.6817500594559079,0.6816488836397496,0.6815464985508882,0.6814449196438289,0.6813376974641552,0.6812373278297988,0.6811333303773334,0.6810297360157689,0.6809289632905117,0.6808277874743534,0.680727014749096,0.6806262420238388,0.6805145858442537,0.6804134100280954,0.6803130403937392,0.6802042058504614,0.680103433125204,0.6799937924001241,0.6798922134930648,0.6797918438587086,0.6796914742243524,0.679589089135491,0.6794883164102337,0.6793863344122734,0.679283949323412,0.6791726962347279,0.6790699080549655,0.6789618796934896,0.6788611069682324,0.6787554971521628,0.6786510966087963,0.678550323883539,0.6784499542491828,0.6783471660694204,0.6782411531624497,0.6781319155282708,0.6780311428030135,0.6779291608050532,0.6778255664434887,0.6777223751728252,0.677622005538469,0.6775180080860035,0.6774071580882205,0.6773007420903487,0.6772003724559925,0.6770971811853291,0.6769968115509729,0.6768960388257156,0.6767940568277552,0.676693687193399,0.6765929144681417,0.6764905293792803,0.676389756654023,0.6762857592015575,0.6761801493854879,0.6760773612057255,0.6759761853895672,0.6758721879371017,0.6757685935755372,0.6756649992139727,0.6755597924888042,0.6754590197635468,0.6753578439473886,0.6752570712221313,0.6751562984968741,0.6750551226807158,0.6749543499554584,0.6748531741393001,0.6747519983231418,0.6746516286887856,0.6745500497817263,0.6744464554201618,0.6743428610585973,0.6742384605152308,0.6741380908808745,0.6740377212465183,0.67393654543036,0.6738353696142017,0.6737321783435383,0.6736281808910728,0.6735270050749145,0.6734185736225377,0.6733182039881814,0.673216625081122,0.6731158523558648,0.6730134672670034,0.6729062450873297,0.6728042630893692,0.672703490364112,0.6726023145479537,0.6725015418226964,0.672398350552033,0.6722975778267757,0.6721927741925081,0.6720903891036467,0.6719900194692905,0.6718892467440333,0.671788070927875,0.6716808487482012,0.671580479113845,0.6714797063885877,0.6713781274815284,0.6712777578471721,0.6711761789401128,0.6710754062148555,0.6709734242168951,0.6708694267644296,0.6707666385846672,0.6706549824050821,0.6705538065889238,0.6704534369545676,0.6703522611384093,0.6702442327769336,0.6701430569607753,0.6700422842355179,0.6699378836921515,0.669834289330587,0.6697323073326266,0.6696307284255673,0.6695243124276956,0.6694219273388342,0.6693207515226759,0.6692191726156166,0.6691175937085572,0.6690111777106855,0.6689087926218241,0.6688072137147648,0.6687052317168044,0.6686040559006462,0.6685020739026858,0.6684004949956265,0.6682985129976661,0.6681961279088047,0.6680848748201207,0.6679841020948634,0.6678780891878927,0.6677688515537139,0.6676656602830504,0.6675644844668921,0.6674620993780307,0.6673484277439405,0.6672472519277822,0.667146479202525,0.6670457064772677,0.6669352595703857,0.66682723120891,0.6667216213928403,0.666620445576682,0.6665192697605237,0.6664160784898603,0.6663116779464937,0.6662109052212365,0.6661101324959792,0.6660057319526126,0.6659017345001471,0.6657920937750672,0.6656852746862945,0.665581277233829,0.6654805045085718,0.6653773132379083,0.6652741219672448,0.6651729461510866,0.6650697548804231,0.6649669667006607,0.6648633723390962,0.6647593748866307,0.664652958888759,0.6645481552544914,0.6644397238021146,0.6643385479859563,0.6642381783516,0.6641313592628274,0.664029377264867,0.6639277983578077,0.6638133205419154,0.6637060983622417,0.6635952483644587,0.6634932663664983,0.663391284368538,0.6632876900069735,0.663184901827211,0.6630833229201517,0.6629813409221914,0.6628773434697258,0.6627729429263594,0.6626709609283989,0.6625697851122406,0.6624661907506761,0.6623654180254189,0.6622594051184483,0.662158632393191,0.6620534256680224,0.6619458003974477,0.6618385782177739,0.6617257127654858,0.6616253431311295,0.6615249734967733,0.6614028369537615,0.6613016611376031,0.6611996791396427,0.6610948755053753,0.6609876533257015,0.6608872836913452,0.6607857047842859,0.6606837227863256,0.6605805315156621,0.6604765340631966,0.660370521156226,0.6602689422491667,0.660149224251561,0.6600420020718872,0.6599376015285207,0.6598323948033521,0.6597259788054805,0.6596155318985985,0.659512340627935,0.6594022968119541,0.6592974931776865,0.6591963173615282,0.6590947384544689,0.6589879193656961,0.6588839219132306,0.65877790900626,0.6586727022810914,0.6585638677378135,0.6584614826489522,0.6583570821055856,0.6582518753804171,0.6581511026551597,0.6580471052026943,0.657945929386536,0.6578439473885755,0.6577375313907039,0.6576258752111188,0.6575251024858616,0.6574146555789796,0.6573034024902956,0.6572002112196321,0.6570954075853646,0.6569938286783052,0.656893459043949,0.6567918801368897,0.6566911074116324,0.6565875130500679,0.6564855310521076,0.6563827428723451,0.6562759237835725,0.6561703139675028,0.6560634948787301,0.6559615128807698,0.655853887610195,0.6557531148849377,0.655647101977967,0.6555330272529758,0.6554229834369949,0.6553177767118263,0.6552069267140432,0.6550960767162602,0.6549900638092896,0.6548888879931314,0.6547768287226452,0.6546647694521591,0.6545619812723967,0.6544595961835353,0.654357614185575,0.6542511981877033,0.654149619280644,0.654039172373762,0.6539359811030986,0.653831580559732,0.6537291954708706,0.653623988745702,0.6535220067477416,0.6534208309315834,0.6533103840247014,0.6532035649359287,0.653096745847156,0.6529939576673935,0.6528863323968188,0.6527847534897595,0.6526682602193621,0.6525598287669853,0.652459459132629,0.6523514307711532,0.6522421931369743,0.6521385987754098,0.6520277487776268,0.6519229451433592,0.6518177384181907,0.6517129347839231,0.6516065187860515,0.6514972811518726,0.6513957022448132,0.6512945264286549,0.6511873042489812,0.6510816944329115,0.6509724567987327,0.6508676531644652,0.6507588186211872,0.6506548211687218,0.6505504206253552,0.6504311057186506,0.650324286629878,0.6502182737229073,0.6501166948158479,0.6500131004542834,0.64990990918362,0.6498014777312432,0.6496974802787777,0.6495854210082915,0.6494826328285291,0.6493725890125482,0.6492669791964786,0.6491633848349141,0.6490577750188445,0.6489517621118739,0.648842927568596,0.6487401393888336,0.6486381573908733,0.6485305321202984,0.6484297593950412,0.6483181032154561,0.6482100748539803,0.6481060774015148,0.6480012737672473,0.6478992917692868,0.6477932788623162,0.6476759794101168,0.64756754795774,0.6474530701418477,0.6473522974165904,0.6472511216004321,0.6471459148752635,0.6470330494229753,0.6469246179705985,0.6468089308820032,0.6467069488840428,0.6466013390679732,0.6464775901613573,0.6463594845273558,0.6462550839839892,0.6461397999862949,0.646030159261215,0.6459201154452341,0.6458153118109665,0.6457032525404804,0.6455940149063015,0.6454859865448257,0.6453856169104695,0.6452852472761132,0.645171172551122,0.6450276721903556,0.6449260932832963,0.6448233051035339,0.644714470560256,0.6446124885622957,0.6445080880189291,0.6444000596574534,0.6442783262053425,0.6441199114812381,0.6440054336653459,0.6438841033041361,0.6437788965789675,0.6436740929446999,0.6435531656743912,0.6434479589492227,0.6433306594970232,0.6432109414994175,0.6431061378651499,0.6429831951403361,0.6428683142335428,0.6427631075083742,0.6426304906019357,0.6425063386044186,0.6423962947884377,0.642289072608764,0.6421620989749398,0.642053264431662,0.6419516855246027,0.6418448664358299,0.6417404658924634,0.6416324375309876,0.6415292462603241,0.6414276673532648,0.6413087555374613,0.6411991148123813,0.6410854431782911,0.6409629035443782,0.6408508442738922,0.6407448313669215,0.6406424462780602,0.6405332086438813,0.6404284050096137,0.6403256168298513,0.6402212162864848,0.6401188311976234,0.6400180584723661,0.6399076115654841,0.6397878935678785,0.6396726095701841,0.6395657904814115,0.6394368013930821,0.6393287730316064,0.6392183261247244,0.639103445217931,0.6390010601290697,0.638894644131198,0.6387805694062068,0.6386765719537413,0.6385584663197398,0.6384411668675403,0.6383234643244398,0.6382186606901722,0.6381070045105872,0.6379953483310021,0.6378748241515945,0.6377462381541662,0.6376365974290862,0.6375330030675218,0.6374322303422645,0.6373306514352052,0.6371919881652511,0.6370831536219733,0.6369662572606749,0.6368348496269394,0.636732464538078,0.6366046847224518,0.6364930285428667,0.636385806363193,0.6362842274561337,0.6361794238218661,0.6360697830967862,0.6359641732807165,0.635844858374012,0.6357283651036145,0.6356090501969099,0.6354897352902052,0.6353821100196305,0.635277306385363,0.6351704872965902,0.6350660867532237,0.6349616862098572,0.6348568825755896,0.6347484511232128,0.6346456629434504,0.6345360222183705,0.6344142887662597,0.6342977954958623,0.6341974258615061,0.6340962500453478,0.6339874155020698,0.6338830149587034,0.6337685371428111,0.6336584933268301,0.6335569144197708,0.6334517076946022,0.63333722987871,0.633227186062729,0.6331243978829666,0.6330187880668969,0.6329107597054212,0.6328103900710649,0.6327039740731932,0.6325834498937856,0.6324746153505076,0.6323480448075846,0.6322347762643954,0.6321340035391381,0.6320332308138809,0.6319227839069989,0.6317821051825397,0.6316273182765445,0.631522917733178,0.6313991688265621,0.6312971868286017,0.631191173921631,0.6310484797426668,0.6309299710177643,0.630802191202138,0.630691744295256,0.6305607397524216,0.6304490835728365,0.630332187211538,0.6301991672141984,0.6300899295800196,0.629969808491513,0.6298452534030949,0.6297444806778376,0.6296175070440135,0.6294897272283873,0.6293873421395259,0.6292398108697492,0.6291229145084508,0.6290056150562513,0.6288661456044953,0.6287480399704938,0.6285976870644099,0.6284783721577053,0.6283675221599223,0.6282413547079002,0.6280845523473999,0.6279559663499715,0.6278249618071371,0.6277008098096202,0.6275665805395775,0.6274105843608793,0.6273069899993148,0.6271840472745008,0.6270397407319325,0.626923247461535,0.6267684605555399,0.6266495487397363,0.626520156560506,0.6263972138356921,0.6262791082016905,0.6261638242039962,0.6260376567519741,0.6259352716631128,0.6257937867568515,0.6256817274863654,0.6255350023983909,0.6254318111277274,0.6253032251302991,0.6251831040417924,0.6250690293168012,0.6249533422282059,0.6248263685943817,0.6247251927782235,0.624608296416925,0.6244587496926431,0.6243337915133241,0.6242322126062648,0.6240979833362221,0.6239968075200638,0.6238831358859737,0.6237589838884566,0.6236122588004821,0.6234977809845899,0.6233639548054482,0.6232305317172075,0.6231007364470762,0.6229802122676685,0.6228407428159124,0.6227254588182181,0.6226238799111588,0.6225106113679696,0.6223836377341454,0.6222796402816799,0.6221450079207362,0.6219978797418606,0.6218584102901045,0.6217435293833112,0.6216032537497531,0.6214932099337722,0.621379538299682,0.6212574017566701,0.6211473579406892,0.621020384306865,0.6209159837634985,0.620770871039128,0.6206152779513308,0.6204681497724552,0.6203572997746721,0.6202500775949984,0.6201432585062258,0.6199800066913089,0.619855854693792,0.6197329119689782,0.6195761096084778,0.6194406710657321,0.6193040232502832,0.6191851114344796,0.6190468512554266,0.6189384198030498,0.6188118492601267,0.61869172817162,0.6185659638104989,0.6184393932675758,0.6182571961803106,0.6181479585461317,0.618041945639161,0.6179073132782174,0.6177585727357376,0.6176372423745279,0.6174627040143823,0.6173288778352406,0.6172071443831298,0.6170789614766026,0.6169423136611537,0.6168133245728245,0.6166782891209797,0.6165569587597699,0.6164404654893725,0.6163396927641153,0.6162094944030828,0.6160962258598937,0.6159692522260695,0.6158451002285525,0.6157217544128376,0.6156201755057783,0.6154980389627664,0.615324306784423,0.6151892713325782,0.6150292442448697,0.6148873562477074,0.6147406311597329,0.6145910844354511,0.6144802344376681,0.6143431835313181,0.614173885352886,0.6140287726285154,0.6138268240870999,0.6136647815448862,0.6135632026378268,0.6134072064591286,0.6132995811885539,0.6131468097370638,0.6129775115586316,0.6127997484712777,0.612665519201235,0.6124913839319905,0.6123099930265274,0.6121330361209757,0.6119306844886591,0.6117573554012166,0.6115550037688999,0.6113711943180307,0.6111898034125676,0.6110132495979168,0.61090481814554,0.6107903403296477,0.6106609481504174,0.6104638366998142,0.6103283981570684,0.6101304805246631,0.6099462679828929,0.6097842254406791,0.609643949807121,0.6095318905366349,0.6093371976314379,0.6092251383609518,0.6090804287274824,0.6088450236412813,0.6086225174639133,0.6084443512856584,0.6082149925629728,0.6081097858378043,0.6079961142037141,0.6078925198421496,0.607703067118666,0.6075986665752994,0.607481770214001,0.607288286581507,0.6070863380400914,0.6068606071355152,0.6066171402312935,0.6064224473260965,0.6062217080573841,0.6061213384230277,0.6059774349713604,0.6057408206124563,0.6055328257075253,0.6053393420750314,0.6051055493524344,0.6049797849913134,0.6048378969941511,0.6046153908167831,0.6043852259122955,0.6041732000983542,0.6039918091928911,0.6037535824703829,0.6036451510180061,0.6034843177484954,0.6033694368417022,0.6032210993901235,0.6031009783016168,0.6029437728502155,0.6026946626733795,0.6025817972210913,0.6024294288605023,0.6022810914089236,0.60211904886671,0.6018949303257377,0.6016571066941306,0.6015188465150776,0.6012915032468972,0.6011854903399265,0.6009928128892347,0.6008698701644207,0.6007142770766235,0.6006018147152364,0.6004026878101281,0.6000874707255233,0.599958884728095,0.5997726567318196,0.5996460861888965,0.5994739663741571,0.5993578761946606,0.5991849501981191,0.5990543487461858,0.5988705392953165,0.598725023480045,0.5985291213021449,0.5983944889412012,0.5982042300359154,0.5980933800381324,0.5979039273146487,0.597714474591165,0.5974697984142404,0.5972847796906681,0.5970586456951907,0.5969453771520016,0.596729723519951,0.5965958973408093,0.5963810498905608,0.5961770858946401,0.5959900517165626,0.5957691579027986,0.5955273033621812,0.5953737257288891,0.5951270340974594,0.5949581390099281,0.5947416791960755,0.5945655284723258,0.5943107750228754,0.5941600190258906,0.5939230015760855,0.5937565250339604,0.5934900819483802,0.593292567406876,0.5930132254124628,0.592836268506911,0.592559345057904,0.5924061705155129,0.5921348903391204,0.591909159434544,0.5916439256216669,0.5914246441715071,0.5911727123583639,0.5910086543616451,0.5907152041856959,0.5905265576440143,0.5901843334690406,0.5899803694731199,0.5896869192971707,0.5895091562098169,0.5891217858539279,0.5889174187671061,0.5885582647742893,0.5883498667784572,0.5880060302398794,0.5877726406081836,0.5874267886151006,0.5871897711652955,0.5868148966273384,0.586600452267991,0.5862574219112152,0.5860147611887957,0.5855165408351237,0.5852509039313456,0.5848425728486031,0.5845067981280458,0.5840952423180952,0.5838279930507129,0.5834498937855476,0.5831669239730252,0.5827110281639613,0.5823651761708782,0.5819201638161422,0.5816392094581249,0.5811212376503025,0.5807645022028918,0.580227585122721,0.5798559353119722,0.5793073285956716,0.5790033980562956,0.5784410862493601,0.5780432355300443,0.5774200569970535,0.5770439731863932,0.5764332904713342,0.5760572066606741,0.5753562315837845,0.5749539468645575,0.5743440703313004,0.5739619401571249,0.5732129972630128,0.5727647601810685,0.5720234760140759,0.5715716111140223,0.5707424531306055,0.5701837691417792,0.5693312318861027,0.5687503778977198,0.567701132282341,0.5670807753856573,0.5660254834067631,0.5654244748733287,0.564223667079163,0.5635408310928197,0.5623734798434394,0.5616152658586038,0.5601955797051793,0.5593631969945543,0.5578560401156065,0.5568789477715119,0.5551811288963774,0.5541875098253407,0.5521611718658674,0.5508700717098713,0.5483838070323238,0.5470261968776579,0.5441372443899823,0.5425740578757916,0.5388470794048766,0.5367417356288017,0.5319425353611493,0.52900118105634,0.521643562839856,0.5168367038450841,0.5019203250525026,0.4893962907575287],\\\"y\\\":[0.5008417215823903,0.5024190407067982,0.5035854071830178,0.5049349289631975,0.5062350402916233,0.5076781209979742,0.5088463705690243,0.5102556871451072,0.5110778626059312,0.5123233485841463,0.5135287490783126,0.5147820526021992,0.5159066371428566,0.5173373323117983,0.518776047795841,0.5200331170443016,0.5211984367986522,0.5222588687654448,0.5234487779052325,0.5245441503765981,0.5257945043325317,0.5267471600308568,0.5281228986591497,0.5295838228224091,0.5310184943634189,0.5322838838401106,0.5334283394309579,0.5344063505474606,0.5357951745681568,0.5369757151887119,0.5386831937049841,0.5398671406674043,0.5408352790552066,0.5420283124088426,0.5433689227368096,0.5446164995894635,0.5457194003328617,0.5467931329711039,0.5481487483158864,0.5495821785211905,0.5508322923038586,0.5519769894356139,0.5532799147996361,0.5543705631104713,0.5557705839304286,0.5566341542252333,0.5576760070036026,0.5588378978919105,0.5602344790834,0.5616594992539701,0.5628624436661538,0.5643513622589462,0.5654380633151389,0.5666599073639966,0.5678300606871212,0.5689125144718061,0.5699882692062807,0.5712855243044903,0.572327680796797,0.57343273453462,0.5745149491480906,0.5756037983989684,0.5765936763656142,0.5778528687426518,0.5791485195429745,0.5805532654522959,0.5816943284291104,0.5827017252065886,0.5839395707131806,0.5851192404943412,0.5863156330793652,0.5873824424098497,0.5888119902051507,0.5900313658226332,0.591317958566391,0.5927867011588457,0.5943573211073359,0.595633912888411,0.5969984866595891,0.5983087812830544,0.599501807505439,0.6005330906519074,0.6018939445208739,0.602952686250093,0.6039988629311717,0.6048889029235911,0.6060105152763212,0.6070847415518487,0.6082021143090279,0.6094455852156058,0.610518185975752,0.611729394333583,0.6128567230173045,0.6140852594902252,0.6152697850753011,0.6165335853678854,0.617607970980642,0.6187881828738766,0.6202277781351127,0.6214766799137338,0.6224698681044876,0.6235271038864124,0.6248465347336964,0.6258243954522059,0.6269649775048322,0.628063891632235,0.6293273439361369,0.6304733652423823,0.6318803938801094,0.6330309727659998,0.6341413259311273,0.6355113897619267,0.6367042507891907,0.6381642716809236,0.6392986260864216,0.6409233050640473,0.6422548747188503,0.6434846854283084,0.6445982709481233,0.646006253682218,0.6477171759537751,0.6493613496387662,0.6506261418737403,0.6517643248714214,0.6533807105750848,0.6548499729385497,0.6561137267373124,0.65755531820055,0.6589324682089548,0.660440103583604,0.6618605227510664,0.6631746130521361,0.6648355871115065,0.6661440531900594,0.6676568378785497,0.6691466446774077,0.6713562673582362,0.6730688300791086,0.6752395876535873,0.6772614256637987,0.6793717908595385,0.6813749648703359,0.6836392871499397,0.6867022984713516,0.6883676377672869,0.6898240543781026,0.691072872019759,0.6922398729901844,0.6929211235270414,0.6939564403931237,0.6952404751413096,0.6962664939767856,0.6972476927497321,0.698307929487011,0.6993581102497826,0.7003399976221429,0.7012926445227562,0.7022451374478017,0.7032937180642318,0.7042309829010904,0.7051876275123055,0.7060681417798098,0.7069262929886977,0.7077086824790225,0.7084362185465386,0.7092950348041932,0.7101703176037019,0.7110988914627284,0.7119334977171623,0.7128585916992772,0.7137184304238134,0.7144969843730967,0.715269910716666,0.7160881316015786,0.7169187534636591,0.7177719286535349,0.7184551639873283,0.7193162961323132,0.7199894566371796,0.7206085347859507,0.7213180362447597,0.722132608801342,0.7229531989226392,0.7238472380905072,0.7245441983541351,0.7254595618270744,0.7262063370004,0.7270820743323538,0.7277754752944932,0.728476042665853,0.7291233407036372,0.7300722304177593,0.7307822873134797,0.7312866803546999,0.732105305681805,0.7327677170743835,0.7335145932049602,0.7341869678450528,0.7350162808850537,0.7357347446935694,0.7364041997823596,0.7370933792424053,0.7379429640344904,0.7386724799986791,0.7393404499235147,0.7401012986566696,0.7407111333909367,0.7415167305780338,0.7422427411912558,0.7429703308207437,0.7435899978377438,0.7442416453429846,0.7449709862123609,0.7457042258718374,0.7464588120368428,0.7472826191833127,0.7479081275906961,0.7486220650703043,0.7493147971554404,0.7501237832821998,0.7509707959233038,0.7517274959337802,0.7524492272890054,0.7531022115067384,0.7536468332315477,0.7542658888455948,0.7549548553109054,0.7556918267156244,0.7563033290600004,0.7569159534376426,0.7575581524458187,0.758223560012775,0.7588517147191127,0.759585949102477,0.7602893429942758,0.7610121769248293,0.7617690037581817,0.7624818506513371,0.7632224021643993,0.7638363090431475,0.7644094757287703,0.7650728721651378,0.765707446972008,0.766312283610539,0.7670197057466788,0.7676851616444641,0.7683856710554258,0.7689429513039759,0.7696689724502741,0.7703298699846665,0.7710970924466775,0.7718284589988995,0.7724958416603049,0.7732665035465591,0.7739333109890426,0.7745648464135255,0.7752433826952214,0.7760033254625353,0.7766530191173152,0.7773590005102867,0.7778652076236433,0.7784201423317643,0.7790101141216916,0.7796607997064159,0.7803975526907571,0.7809423719305834,0.7814674554131856,0.7820647519759,0.7826152204475008,0.7831251207745846,0.7837900294887152,0.7842469556205353,0.784819870676383,0.7853309724592658,0.7859338054222826,0.7865677103599512,0.7871187545758317,0.7875776702723122,0.7881268614638854,0.7886445918710169,0.7893196290764337,0.7898584242711423,0.7904338243457546,0.7909615059492926,0.791528109500803,0.7921190476272263,0.7926197087814514,0.7931066510992054,0.7936429299327972,0.7941496785672081,0.7947692624944955,0.7952241690174866,0.7957711992595714,0.7963480010092596,0.7967231937361989,0.7972653850213982,0.7978545153867231,0.7983174692641242,0.7988483277717858,0.7992856599834555,0.7997925354447565,0.8002820796998567,0.800749207776092,0.8012035945612314,0.8016337421752807,0.8021399378370125,0.8026726496135006,0.8032356278696252,0.8037469976428395,0.8041663345123065,0.8046320855686071,0.805123283584807,0.8055731320295677,0.8060481669782972,0.8065954633031563,0.8070834705677044,0.8075316659621783,0.80803585713266,0.8084442829111321,0.8089050406667796,0.8095016098301653,0.8100755441872308,0.8105657346277815,0.8110800471280963,0.8114790335342592,0.8119502762587242,0.8124591915999724,0.8128908384406371,0.8134185095183536,0.8138695579398898,0.8143013327835514,0.8147960863174872,0.8152859791284436,0.8157284808245112,0.8161954395261468,0.8166970588161981,0.817212960821549,0.8176609426220302,0.8181229417790878,0.818553056143404,0.8190013383991945,0.8194607566053973,0.8198421829098501,0.8202545537720414,0.8207347760442879,0.8211862301726551,0.8216149989706392,0.8220363435909914,0.8223575427299099,0.8227892853947699,0.8232142183042511,0.8236701619596474,0.8240997130198007,0.8245752503252896,0.8250465556732315,0.8254093574317323,0.8257655149118971,0.826256198248619,0.8266430162325134,0.8270903228908937,0.8275316873598251,0.8279778159684045,0.828383409756299,0.8288582891810143,0.8292739546505938,0.8296961505433634,0.8300826934886367,0.8305052288168328,0.8308869592280678,0.8312555158868454,0.8317260770849586,0.8320963992689122,0.8324722289744336,0.8329287851812845,0.8333324211000293,0.8336741380852505,0.8340862838558324,0.8343653460096139,0.8347403086545254,0.8351024284873834,0.835414727389662,0.8358249736380707,0.8361643721162377,0.8365722800914043,0.8369872452461354,0.8373802722694221,0.8377575053223766,0.8381830384183382,0.8385849720302018,0.8390101070614011,0.8395051272146522,0.8398529061751847,0.8402350613089616,0.8406229782236475,0.8410808707970299,0.8413824325616759,0.8417753953712294,0.8421389234847653,0.8424133601344742,0.8427618218740934,0.843191872546072,0.8435321958400911,0.8439213520420928,0.8443003643087905,0.8446544119775251,0.8450452276754835,0.8454062833056023,0.8457488661202338,0.8460213878291651,0.8463410551064519,0.8466700586475226,0.8470935074105468,0.8474067190525676,0.8477334161424924,0.8480635999306264,0.8483466277504742,0.8487369984031636,0.8490618403550405,0.8494151986680096,0.8497117931491421,0.8500395040446754,0.8503977207226495,0.8506910665004063,0.8510760743602396,0.851322576207759,0.8516020141234633,0.8520083265671221,0.852330639542566,0.8526819231920544,0.8530314195601615,0.8533999681163692,0.8537139981086382,0.8540440145648881,0.854349973944135,0.8545870052930461,0.8548743639815527,0.8552368937207648,0.8555026128914717,0.8558596876841018,0.8561899820871357,0.8564907821758765,0.8567731333931219,0.8570716116545087,0.8573677690249,0.8576593275925621,0.8579807095966614,0.8582386276472801,0.8585732682205115,0.8589235501278563,0.8592161745091702,0.8595491865341196,0.8598227822435964,0.8600884446818096,0.8603324251302454,0.8606181476858904,0.8609227871581595,0.8611857638327381,0.8615142203224907,0.8618695894618486,0.8620745363245608,0.8623479929465525,0.8626618853467137,0.8629809480821599,0.8632564893200385,0.8635500749068105,0.8638799006150998,0.8640861860597022,0.8643606943382837,0.8646284918840366,0.8649231703027991,0.865210216591432,0.865505039361875,0.8657751195035458,0.8660095202278967,0.8661797836828371,0.866360710925144,0.8666261676719781,0.8669350627810404,0.8671846733523585,0.8675074827662929,0.8678266512729959,0.8681511341213396,0.8683663225567639,0.8686045831286789,0.8688478633057898,0.8691010428693218,0.8693576756884248,0.8696330585089156,0.8700341875198193,0.8702943484132108,0.8706401039772214,0.870860383559231,0.8711013561424423,0.871322929672853,0.8715951727386425,0.871862011492852,0.8721011375419017,0.8723778606564486,0.8725523574252436,0.8728419923593752,0.873105384412313,0.8733432533565395,0.8736040615045119,0.8738762760636807,0.8740853020507637,0.8743274143073488,0.8745173842683882,0.8747859704686863,0.8750572119753754,0.8752840747740045,0.8755134904586896,0.87581433684472,0.8760983943188865,0.8762992843586366,0.8765206172507474,0.8767570046229576,0.8770117995929884,0.8772435204530395,0.877532281205165,0.8778236007028757,0.8780685645517985,0.878301751461962,0.8784866796608479,0.8786572928787242,0.8788909356400236,0.879105141245901,0.8793421281381023,0.8795548818462767,0.8797778300223346,0.8799788651295805,0.8802096710127237,0.8804647785609689,0.8806158199782855,0.8808271017564078,0.8811044258240744,0.8813333542844348,0.8815431403301048,0.8817685847877995,0.8820195157403271,0.8822706453239918,0.8825515467468035,0.8827214861192098,0.8829825490825517,0.8831620658012472,0.8833082282427146,0.8834743699673773,0.8838008420125947,0.8839605430732593,0.8841507862742892,0.8844328941565361,0.8846538343196622,0.884872244906668,0.8850476764522791,0.8852116671443963,0.885460849287198,0.8856818415617507,0.8858840590494118,0.88608536144533,0.8862903104431882,0.886537198210042,0.8867157418207746,0.8869258651027323,0.8870979192239279,0.8872826613917447,0.887485529301156,0.8876557177905343,0.8878538632177636,0.8880606975981085,0.8882875736785548,0.888484860049525,0.8887232302038424,0.8889296437052175,0.8890848510340607,0.8892829803826031,0.8894993501156412,0.889684685348586,0.8899108305940682,0.890067997491997,0.8902391420757597,0.8903936559418113,0.890611546929099,0.8908320820850785,0.8910458857133274,0.8912386127766952,0.8914356967093748,0.8916037355807351,0.8917824839841291,0.8919813627760201,0.8921607885415063,0.8923462246128655,0.8925383398500671,0.8927284790858234,0.8929347510429538,0.8931262198476501,0.8933507562745636,0.8935542736072579,0.8937576135102429,0.8939714937569867,0.8941489163150981,0.8943562527377974,0.8945385814425272,0.8947270939776385,0.8949276396196242,0.8950930537626541,0.8952927692431433,0.8954616383189191,0.8956020962632948,0.8957862141778696,0.895998672854643,0.8961683243528016,0.8963308555427972,0.8965064889738628,0.8966822305950118,0.8968551871426578,0.8970908534929889,0.8972770873813833,0.8974496738574516,0.8976089549514773,0.8977555958642768,0.8979357339471224,0.8980633569449519,0.8982284429022103,0.8983484457922669,0.8985173413666087,0.8986322773167277,0.8987875287982651,0.898982534603701,0.8991051327318962,0.8993029058416572,0.8994799548632425,0.8996398948663233,0.8998621094537126,0.9000128966427362,0.9001725729844985,0.9003140749397415,0.9004541104136107,0.9006001521695529,0.9007557851474614,0.9008770657720117,0.901009063449019,0.9011446312716856,0.9013049811584934,0.9014800882481522,0.9016608046681197,0.9018360895090075,0.9020181309808892,0.9022054299596929,0.9023225712907934,0.9024630108390728,0.902599440095518,0.9027687308366765,0.9029458152021451,0.9030983691205585,0.9032730409040356,0.9034379436900566,0.9035863446782054,0.9037422084113428,0.9038763787027492,0.904025762000559,0.9041939954301417,0.9043616684667567,0.9045323410041199,0.9047135192005069,0.9048370538974783,0.9050160727485259,0.9051364369913857,0.9052931897551483,0.9053944016187301,0.9055450009198034,0.9056916866457655,0.9058093665926474,0.905948315734572,0.9060706159123683,0.9062208592732383,0.9063763936126906,0.906502915383084,0.9066809500620416,0.9068546252322135,0.90700228302717,0.9071664256392364,0.9073467035329655,0.9075226537403138,0.907667723087491,0.9078135427389777,0.9079258511178548,0.9080748824019275,0.908209483135593,0.9083631633813456,0.90850757293921,0.9086865121868495,0.9088292205549056,0.9089877104813051,0.9090923338789897,0.9092697751021512,0.9094435725195502,0.909586610646524,0.9097116586810424,0.9098499591939231,0.9099767536686197,0.9101028600141818,0.910236141060504,0.910358989878694,0.9104682711429567,0.9105637420553542,0.9107032626953853,0.910875350227001,0.9110488662835105,0.9111607917412187,0.9112788089769901,0.9114301114337573,0.9115422118218047,0.9116868635997173,0.9118520100257693,0.9120253931070638,0.9121396505996956,0.9122887900519793,0.9124179392925097,0.9125460177590041,0.9126862900955091,0.9128033793301406,0.9129403787000245,0.9131112260098155,0.9132426887395468,0.9133768810953143,0.9135069256686494,0.9136238251557097,0.9137814146110638,0.9138881141586915,0.9140112271690496,0.9141549605501652,0.9142443065389664,0.9143458815039138,0.9145103893927913,0.9146337040240966,0.9147589875362322,0.9148756283649747,0.9149839628592503,0.9151159884105483,0.915209151344373,0.9153440081229939,0.9154812292105599,0.9155860131938234,0.9156854888745072,0.9158190003192853,0.9159349687973792,0.9160652351614259,0.9161990168270296,0.9163401164578376,0.9164452787144951,0.916574238313638,0.9167300940567489,0.9168314824965798,0.9169349413900358,0.9170622676093219,0.9172003857109272,0.9172932393858484,0.9174153645423897,0.9175759954807208,0.917721739356599,0.9178448395231641,0.9179339943190593,0.9180379000252712,0.918126047325795,0.9182759001578749,0.918395810481945,0.9184895350776902,0.9185960402730823,0.9187323330244853,0.9188500828794098,0.9189729828627188,0.9190855038887203,0.9192274755771945,0.9193555922876145,0.919477158965416,0.919565128592117,0.919662431759989,0.9197539654119183,0.9198614303135727,0.9199804427359938,0.9200744348562209,0.9201742878600232,0.9203083434175656,0.9204238291014409,0.9205413124408686,0.9206557437941006,0.9207671198176138,0.9208956257564407,0.9209864945803453,0.9210780469998953,0.9211651010568395,0.9212715939176921,0.9214159877191209,0.9215129161902313,0.9216125827268355,0.9217478126956727,0.9218783987026847,0.9219942543112771,0.9220968917844444,0.9221999661217921,0.9222811117196312,0.9223885706248247,0.9224553927825039,0.9225433535811101,0.9226223228691264,0.9227178212112372,0.9227992722553722,0.9229422207704887,0.9230727778129019,0.9232021615188694,0.9232770957086743,0.9234022767900741,0.9235243825730339,0.9236343847482879,0.9237161780033746,0.9238242127949482,0.9239135425026866,0.9240142387732749,0.9241248379644593,0.9242217609174671,0.9243045687006987,0.9244129807068276,0.9245265590487465,0.9246394039888771,0.9247447876896765,0.9248317362063303,0.9249383923732656,0.925056561929613,0.925163650964898,0.9252827202540432,0.9254147439888776,0.9255038979253721,0.9256140518547847,0.9257163243994337,0.9258079097878,0.9259098759080614,0.9260000563688711,0.9260712886900224,0.9261872272724554,0.9263032531331405,0.9264018491860231,0.9264696263609987,0.9265743056891796,0.9266659224882589,0.9267452574734416,0.9268729750406918,0.9269552274065654,0.9270529585307428,0.9271654209156859,0.9272640686040645,0.9273365427738115,0.9274344745798729,0.9275245001094893,0.9276316607251621,0.9277036534014471,0.9277855581407515,0.9278741116577099,0.9279651219406518,0.9280378539475389,0.9281568189865133,0.9282626920925624,0.9283761566724074,0.9284752893318697,0.9286347624366355,0.9287161070549574,0.9287657739467668,0.9288507714567452,0.9289234232529984,0.9290184749262714,0.9291047761273634,0.9292018151593685,0.9292572804024762,0.9293600827721081,0.9294685333169174,0.9295362090701792,0.929639019751652,0.9297291220113996,0.9298213262444043,0.9299440272778674,0.9300478859530659,0.9301326724716262,0.9302154190610982,0.9303190654228182,0.9304203503552391,0.9305332957037551,0.9306376794454053,0.9307258160957353,0.9308304397710829,0.9309170773423632,0.9310057024364956,0.9311264922903015,0.9312144569273497,0.9313016533391433,0.931423058978582,0.9315171876310989,0.9316065210968393,0.9316797678137526,0.9317542231136903,0.9318384171190213,0.9319299081099217,0.9320016627839507,0.9320690046454096,0.9321856358760868,0.9322594747954777,0.932342665070688,0.9324392273814891,0.9325390373496875,0.9326199122454768,0.9327092864030148,0.9327788110177363,0.9328549261648049,0.9329059686251058,0.933007593505866,0.9330651638757071,0.9331515248893734,0.9332496481748528,0.933314189344763,0.9334034945317283,0.9334962866123334,0.9335816103985981,0.9336786271613656,0.9337615600557535,0.9338270603955848,0.9339140906672329,0.9339841448460307,0.9340557658225423,0.9341405134138946,0.9342110304733939,0.934280789494542,0.9343554589154823,0.9344423706631395,0.9345289115386878,0.9346008240927266,0.9346991924641613,0.93476831471805,0.9348577912993117,0.9349514410644928,0.9350275892128294,0.9350951982185272,0.9351485189567513,0.9352394464574147,0.9353087396512977,0.9353817639655204,0.9354752474858288,0.9355344373221862,0.9356283716021788,0.9356962005399516,0.9357713903018624,0.9358478653339041,0.9359264171893812,0.9360255736732541,0.9360898604265343,0.9361582674942949,0.9362179380566142,0.9362818872916606,0.9363479099996629,0.9364246194647325,0.9365054613800688,0.9365740266135342,0.9366405657773085,0.9367403557059334,0.9368057214622781,0.9368542706209217,0.936906944529101,0.9369965946950226,0.9370772666055425,0.9371414956954254,0.9372358017582788,0.9373289144462491,0.9374117779291045,0.937463387729543,0.9375281643065014,0.9375855787152858,0.9376549607883026,0.9377309627783253,0.9378045215893033,0.9378895995842805,0.9379495813690887,0.9380314768431678,0.9381039731137387,0.9381809798189744,0.9382576042619688,0.9383656491405683,0.9384264538198404,0.9384907494821683,0.9385604426724004,0.9386109000407458,0.9387009338712037,0.9387834784049526,0.9388776711542013,0.938959045331584,0.9390432976598362,0.9391339325172694,0.93920264681555,0.93926638737588,0.939323960493387,0.9393749202771993,0.9394383121641642,0.9395029719774888,0.9395775609506204,0.9396518443591454,0.9397107959583357,0.9397984222157119,0.939881489325686,0.9399621240587378,0.9400261661234919,0.9401030668422037,0.9401520305087174,0.940242348631646,0.9403102366775932,0.940399323558479,0.940477676583365,0.9405635570125395,0.940643224741607,0.9407231838017601,0.9407787420865397,0.9408618350329631,0.9409448836346601,0.941015530627941,0.941083153434396,0.9411437853572096,0.9412093707337108,0.9412655071988004,0.9413140936333643,0.9413787288428938,0.9415054975785796,0.9415729918046798,0.9416200489696741,0.941672088700777,0.9417538996648387,0.9418123106465354,0.9418944453233459,0.941980929962148,0.9420597834132748,0.9421214930622717,0.942181678130473,0.9422497200960992,0.9423302631309657,0.9424224192329634,0.9425083223059163,0.9426156377662777,0.9426952202748905,0.9427631546715824,0.9428495952416166,0.9428940851692148,0.9429604403557212,0.943028081471613,0.9431108840462249,0.9431949823735628,0.9432479850722306,0.9433140500918218,0.9433792981604552,0.9434306781054137,0.9435035510561676,0.9435768232729701,0.9436413268659275,0.9437083830321781,0.9437825804788914,0.9438340883799949,0.9439230955523642,0.9439615702772962,0.944040962099777,0.9441208331600899,0.9441863813643677,0.9442316336045833,0.9442680558276682,0.9443205682160839,0.944400541984077,0.9444926333617096,0.9445502900358214,0.9446138636824604,0.9446681787954171,0.9447123578002649,0.9447624764537104,0.9448307658393514,0.9449088207192883,0.9449543422691576,0.9450043910593638,0.945039700598883,0.9451068816182989,0.9451578800534108,0.945214506942675,0.9452778174123501,0.945358195417996,0.9454212557797351,0.9454924045836484,0.945550769827642,0.9456143014078106,0.9456629887983958,0.9457202148799466,0.9457961614283358,0.9458410318801863,0.9458872658864568,0.9459330900746501,0.9459647466163047,0.9460138321593657,0.9460758713601022,0.9461276204427376,0.9461878444088655,0.9462498531644248,0.9463085737745063,0.9463596461015295,0.9464230952993163,0.9464648275290545,0.9465223490237027,0.9465993411931783,0.9466556290196984,0.9467290052406049,0.9467955569721087,0.9468518875057996,0.9468945973272098,0.9469379360177314,0.9470016073652788,0.9470533135163963,0.9470995051705503,0.9471717905305524,0.9472193016235319,0.9472693950365937,0.9473190540425199,0.9473751724854389,0.9474565643039853,0.9474883255428312,0.947575313034133,0.9476298056147697,0.9476821751932595,0.9477457052007857,0.9478079728497619,0.9478904158914419,0.9479299803238757,0.947988837458499,0.9480489092013422,0.9480889492446104,0.948142762130575,0.948187147902232,0.9482452441630801,0.948306844872065,0.9483693276010723,0.9484189400026011,0.9484599486951714,0.9485229221431806,0.9485725866451944,0.9486128046499374,0.9486629080632791,0.9487311270342703,0.9487713917572546,0.9488314748075752,0.9488933024464987,0.948940891182998,0.9489816487936874,0.9490129159166741,0.9490674908202402,0.9491220850106248,0.9491844607527559,0.9492165738636209,0.9492680182227377,0.9493252749060994,0.949390523066739,0.9494633660106645,0.9495345100245559,0.9495667814364924,0.9496361962029002,0.9496775009715471,0.9497362010770424,0.9497797898273143,0.949851935223026,0.9499375192406129,0.9499820087360112,0.9500460115712268,0.950109605406866,0.9501572013914111,0.9502225256893647,0.9502874868018666,0.9503440351285173,0.9503924141324727,0.9504322976890148,0.9504778084906526,0.9505172626986361,0.9505619577340608,0.950608679299883,0.9506529256685041,0.9507102543181207,0.9507741165316875,0.9508101627176706,0.9508762151889482,0.9509231747029707,0.9510027676423489,0.9510549379524893,0.9511024107291436,0.9511402870641877,0.9511834400706827,0.9512274774929299,0.9512936794368627,0.9513290229063308,0.9513700595415425,0.9514263064329798,0.9514746887856632,0.9515144633377807,0.9515834024835459,0.9516392917014006,0.9516677790843787,0.9517331847584941,0.9517904827459156,0.9518643803656798,0.9519225964392711,0.9519803970927612,0.952022500817457,0.9520598148056413,0.9521315371152395,0.9521789303912325,0.9522424650732038,0.9522878829050476,0.9523302779586069,0.9523746771508925,0.9524400644235975,0.9524954353892263,0.9525499508657415,0.9526075497083117,0.9526577263869995,0.9527009137877144,0.9527869331804513,0.9528533583975227,0.9528926368616369,0.9529499217779339,0.9529876544573049,0.9530322586582551,0.9530847731580047,0.953114470675313,0.9531547300348825,0.9532006650756544,0.9532479757429951,0.9533141839574537,0.9533703152058889,0.9534119691815302,0.9534624248979552,0.9534957576338622,0.9535365735597159,0.9536077411727493,0.9536560665118364,0.9537052241215487,0.9537659028031191,0.9538186818257323,0.9538741206717761,0.9539022592379417,0.9539554230105164,0.9540184029817115,0.9540535585389834,0.9540901163220361,0.9541478643945022,0.9541997324702148,0.9542376766372537,0.9543073910123463,0.954363853897761,0.954418614113912,0.9544636407444165,0.9545135811697142,0.9545538237204456,0.9545998213068659,0.954641837391075,0.9546896117601318,0.9547319311493533,0.954775253716679,0.9548151372578075,0.9548598149021293,0.9549028218626258,0.9549436100153728,0.9549835473498514,0.9550212011988909,0.9550717892759699,0.9551308085893963,0.9551623882479504,0.9552068246019964,0.955257479274746,0.9553063787519376,0.9553512846331244,0.9553859869525406,0.9554304774397543,0.9554603450789162,0.9555135290244634,0.9555674030922071,0.9555964192503612,0.9556365633097743,0.955674479697843,0.9557319706729359,0.9557725397092466,0.9558256249959324,0.9558560631949433,0.9558724851720185,0.9559376174370537,0.9559867647695022,0.9560287099816364,0.9560761101726858,0.9561257106900442,0.9561895921769323,0.9562201275489063,0.9562514813412698,0.9563190018326747,0.9563611548458621,0.9564184717509531,0.9564489463462277,0.9564898047447364,0.9565310211033559,0.9565950157999905,0.9566426105733967,0.9567035868840807,0.9567471804923375,0.9568006292706004,0.9568429348614773,0.9568977385955537,0.9569430408551457,0.956962993290903,0.9570035663824331,0.9570378755613339,0.9570707943521455,0.957115735519863,0.9571545712583663,0.957183926308352,0.9572165220687312,0.9572777465357587,0.9573367757283101,0.9573788138886408,0.957412785939115,0.957476796616219,0.9575260473566185,0.9575663334590544,0.9576075291589229,0.957649654847004,0.957686862463459,0.957746505254118,0.9577882269191321,0.9578085595122554,0.9578615035120489,0.9578911461669407,0.9579162495829162,0.9579427666161248,0.9579876841378897,0.9580258988137408,0.9580807491077195,0.958111215024281,0.9581566601509268,0.9582187548531151,0.9582511547238447,0.9582848748527473,0.958313285926791,0.9583610524126515,0.9584114378876271,0.9584790443797571,0.9585183104440061,0.9585436289757681,0.9585851699018748,0.9586289577087762,0.958652032475233,0.9586867927579543,0.9587301094728349,0.9587888483986609,0.9588476088744897,0.9588703034568213,0.9589033812833877,0.9589671553713991,0.9590110154924778,0.9590472733880242,0.9590844652985625,0.9591388320012281,0.9591828084002482,0.959216878139591,0.9592608628668914,0.9592958409492831,0.9593334854023199,0.9593906452028017,0.9594287322610316,0.9594746376982439,0.9595155619589746,0.9595682868879949,0.9596056380288129,0.9596380204081826,0.9596749417769189,0.959714592916837,0.9597497263162665,0.9597989190506117,0.9598245212229681,0.9598669426179413,0.9599093592224204,0.9599404137868475,0.9599964653841556,0.9600321380043717,0.9600650991258509,0.9600957822254476,0.9601263994272969,0.9601606776685659,0.9602145527903452,0.9602457145425258,0.9602662668279774,0.9602974837579755,0.9603302655897616,0.9603592293950075,0.960389908289457,0.9604166163558285,0.9604446782906767,0.960475042191185,0.9605386332541226,0.9605671828632159,0.9605943568795079,0.9606161129129573,0.960647438191648,0.9606810505534769,0.9607169513209419,0.960753560474594,0.9607858390725212,0.9608436550096998,0.9608878133266902,0.9609141637867293,0.9609574173692097,0.9609997545571893,0.961022046562157,0.9610552429725817,0.9610921757831721,0.9611227100093346,0.9611660033980638,0.9611933433028877,0.9612472255623732,0.9612730320168922,0.9613004199902823,0.9613145787250391,0.9613392562889396,0.9613706898396867,0.9614173363195762,0.961476332198535,0.9615417745169283,0.9615783884741829,0.9616223570621318,0.9616607729266645,0.9616891991637817,0.9617194662805623,0.9617950636891851,0.9618340105353835,0.9618693215229589,0.9619037632973653,0.9619349881210697,0.9619758720447927,0.962038789025544,0.9620709324308598,0.9620944026673727,0.9621321270318648,0.9621753368366155,0.9622011478290416,0.9622283443971599,0.9622771213748658,0.9623103113560372,0.9623434938471993,0.9623835994996516,0.9624001822836182,0.9624287964516112,0.9624376624884546,0.9624750478016498,0.9625023241274784,0.9625383333851217,0.9625743542813866,0.9625961349482904,0.9626395605993358,0.9626857639528359,0.9627172260892821,0.9627422664232039,0.962782837750593,0.9628023656992751,0.9628205165029915,0.9628465095167575,0.9628725103722517,0.9629215781031554,0.9629618807100374,0.9629791103526452,0.9630254516877945,0.9630579622211807,0.9630978693053133,0.9631382513333733,0.9631754138983935,0.9632009522270344,0.9632381367159134,0.9632660912931704,0.9632889528607412,0.9633229330520683,0.9633670959951314,0.9633960128511172,0.9634341894145764,0.9634575742835975,0.9634698613269507,0.9635173229673955,0.9635550627736469,0.9635817209519096,0.9636245420330082,0.9636618196534259,0.9637014781877178,0.9637309560715563,0.9637632236968647,0.9637916714159228,0.9638202325017605,0.9638520482780917,0.9638939385045032,0.9639179077901553,0.9639496848322892,0.9639982303602969,0.9640565753836894,0.9640935846556069,0.9641433149949378,0.9641738140154194,0.9642089682831829,0.964236716649648,0.9642705324068049,0.9642950623538525,0.9643330649554765,0.9643486910848341,0.9643816154215641,0.9644178064351823,0.9644431537175348,0.9644630447799216,0.9644921986780725,0.9645428614177257,0.9645785392617866,0.9646203857531379,0.9646645242446997,0.9646938195952368,0.9647350016882565,0.964749851683083,0.9647591289970013,0.9647954503938089,0.964819658883076,0.9648494715867287,0.9648792765926791,0.9649002087989563,0.9649211811105496,0.9649832174265947,0.9650084106954439,0.9650233050550171,0.9650723302277052,0.9650975149585536,0.9651250096213381,0.9651511784360177,0.9651792247210653,0.9652082145750929,0.965235157974891,0.9652847421463724,0.9653184400420982,0.9653450807635829,0.9653848819754087,0.9654026995463912,0.965426590596471,0.9654456898399456,0.9654902147179605,0.9655089950488062,0.9655291526377582,0.9655596233675175,0.9655867900949977,0.96565105961615,0.9656703469763545,0.9657018142268596,0.965721064871582,0.965738478268366,0.9657661009835657,0.9657966640561082,0.9658431436766836,0.9658713985854592,0.9659048101418413,0.9659387020118932,0.96599184574503,0.966022021395019,0.9660522064971393,0.9660791112823477,0.9661027339675224,0.966144229000546,0.9661833867814378,0.9662089178510356,0.9662286473494159,0.9662584274805741,0.9662816123581005,0.9662987020577704,0.9663355677234553,0.9663507871004204,0.9663730251315442,0.9663929640492391,0.9664077271440012,0.9664229491605737,0.9664504433520594,0.9664774420195753,0.9665062855888701,0.9665380324575769,0.9665787656947145,0.9666077207446705,0.9666333662433267,0.9666664876904205,0.9666945261895789,0.966715021110108,0.9667311432772512,0.9667431506314078,0.9667924203870505,0.9668252072142056,0.9668584931982778,0.966888465871187,0.9669151234047421,0.9669815310318461,0.9670115221298826,0.9670429737321888,0.967061094203813,0.9670821551918128,0.9671046258233139,0.9671365683605181,0.9671576501312128,0.9671934145017433,0.9672078820145646,0.96723229901739,0.9672557279459512,0.9672910562606959,0.9673173286201286,0.9673441470855833,0.967384720929093,0.9674015697863905,0.967460186742901,0.967482253665582,0.9675195561790563,0.9675559219576596,0.9675818583582466,0.9676097014401848,0.9676418261375579,0.9676910249684576,0.9677169829656949,0.9677372482778358,0.9677606555783419,0.9677789219015238,0.9678187090158299,0.967832314846333,0.9678673683341751,0.9678881660116223,0.9679218124893423,0.9679530910556479,0.9679719763395519,0.9680089835226697,0.9680226468757284,0.9680539606115077,0.9680700152775988,0.9680961072055807,0.9681398320492073,0.968160639661115,0.9681781805331477,0.9682009690486282,0.968219950964464,0.9682503338493719,0.968290787455787,0.9683136071212373,0.9683392802689004,0.9683615902719268,0.9683944212230851,0.9684320514558202,0.9684491815173969,0.9684701207397218,0.9684939470607582,0.9685182582364879,0.9685478318000036,0.9685798037760869,0.968619432663026,0.9686557287089068,0.9686800685063348,0.9687001275057496,0.9687273664425713,0.9687512653258739,0.9687741837348995,0.9688047809355306,0.96883348878385,0.9688741581150275,0.9689000133427557,0.968931144377753,0.9689526902609809,0.968978554191492,0.9690022795713813,0.9690209860070207,0.9690347669483247,0.9690716243358498,0.9690821982671821,0.969104764110398,0.9691321179797692,0.9691518198342329,0.9691839570821102,0.9692089212129855,0.9692429826655322,0.969262217942698,0.9692761922690142,0.9692857418896462,0.9693088495228789,0.9693458809162484,0.9693819787505936,0.9694068524723941,0.9694212802502229,0.9694367343376281,0.9694685415271681,0.9694920618542382,0.9695237972381143,0.969541499830538,0.9695819604071158,0.9695993773342519,0.9696293152024704,0.9696419296888422,0.9696723647997012,0.9696912502868359,0.9697019522946827,0.969734322630521,0.9697537075547407,0.9697807645533661,0.96983051723658,0.9698393183570612,0.9698693399974343,0.9698949403687381,0.9699254627368395,0.9699400721601432,0.9699773672246167,0.9700006767475513,0.970040407649931,0.9700578951376746,0.9700841105908651,0.9701002053899297,0.9701136958393528,0.9701510601705498,0.9701763544903593,0.9702166415723429,0.9702499362153371,0.9703003902531412,0.9703329800714433,0.970360258715804,0.9703986751882526,0.9704356230817492,0.9704443743902122,0.9704615206554839,0.9704888259097192,0.9705098583255568,0.9705546330222341,0.9705848730619338,0.9706180157312368,0.9706516246172407,0.9706862727470688,0.9707000527985478,0.9707279152932055,0.970754816443739,0.9707928553116143,0.9708168493133568,0.9708562067226143,0.9708894708894709,0.9709168903271168,0.9709642294632144,0.9709824555084661,0.9710128032581015,0.9710436901705873,0.9710624224886316,0.9710986593998685,0.9711188209025462,0.971142406787265,0.9711606790070596,0.9711794574874208,0.9711962522066175,0.9712169878389895,0.9712419800646606,0.971263500852237,0.9712825221977502,0.9713037706507474,0.9713186942667974,0.9713613297714694,0.9713835170462554,0.9714160017416971,0.9714514213580757,0.9715141247587495,0.9715255802514988,0.9715386020885747,0.9715545541580505,0.9715792919778106,0.9715956855935021,0.971620380206442,0.9716446086779172,0.9716635173312258,0.9716814550614701,0.971703290628273,0.9717251186120518,0.9717367086469454,0.9717722573596218,0.9717916624131722,0.9718228323427592,0.9718559678296428,0.9718969236899621,0.9719251774175611,0.9719475701046525,0.9719655805080374,0.9719899575051639,0.9720260318978865,0.972053335052281,0.9720816541981276,0.9721089607381458,0.9721299507301302,0.9721563357123024,0.9721709697725063,0.9721875401671963,0.9722192954020804,0.9722593670520989,0.9722833413097735,0.9723058516983326,0.9723239544616229,0.9723425531549913,0.9723699196202081,0.972383118682287,0.9724061241878365,0.9724369915897915,0.9724551025189446,0.9724744558243448,0.9724960439861265,0.9725215688711142,0.9725558631344995,0.9725740059687856,0.972585708827519,0.9726083136959948,0.972625953071618,0.9726539391494022,0.9726740916648798,0.9727030228481313,0.9727118304547,0.9727381917271513,0.9727505076515858,0.9727662593726214,0.9727864609036626,0.9728037137158421,0.9728273609862916,0.9728372218323089,0.9728707493742638,0.9728978812793068,0.9729200378142703,0.9729442279989441,0.9729738221752604,0.9729980009407337,0.9730138291832265,0.9730478474479164,0.9730888537407497,0.9730962855366289,0.9731066537419532,0.9731284342837082,0.973154542903665,0.9731812218819225,0.9732166649832017,0.9732365000936621,0.9732656622630713,0.9732968516244619,0.9733255929353123,0.9733380405463754,0.9733554367965762,0.9733713544146408,0.9733971702317856,0.9734145830707237,0.9734315062156164,0.9734400071585891,0.9734485104703868,0.973458006283826,0.9734749184395324,0.9734887968113708,0.9735334837022086,0.973551901333982,0.9735668694177088,0.9736001787747718,0.9736195659976693,0.9736370297536879,0.9736619499537835,0.9736839022352842,0.9736984207845135,0.9737198756814592,0.9737368847488547,0.9737692836563479,0.9738121041154155,0.9738271224772592,0.973848117363253,0.9738676420190283,0.9739010547609611,0.9739429384174456,0.973959438829657,0.9739993447528688,0.9740089654880261,0.9740265441551812,0.9740470190371553,0.9740700798715682,0.9740906075451983,0.9741256237335699,0.974160127513487,0.9741821987003472,0.9741928527371132,0.9742159577094276,0.9742694494825672,0.9742890740835422,0.9742967476432123,0.9743099043902739,0.9743340158431623,0.974358161080658,0.9743798210839342,0.9744139537549537,0.9744600678485221,0.9744757680791737,0.9744919196082297,0.9745200914345641,0.9745417708242108,0.9745640253350647,0.9745751944719953,0.9746118609155471,0.9746195962995837,0.9746473285744965,0.9747000397298371,0.9747187857141758,0.9747480341690999,0.9747722926040678,0.974796045666073,0.9748093036427775,0.9748335957078673,0.9748473892593856,0.9748946350762667,0.9749114449110342,0.9749252563464716,0.9749410743721019,0.9749653580625578,0.9749831130105585,0.9750229651443567,0.9750498171231138,0.9750651649268796,0.9750864802907176,0.9751017997255867,0.9751131128660744,0.9751440238645345,0.9751643869786484,0.9751705577442706,0.9751979676419625,0.9752268534836513,0.9752502660653007,0.975269619159238,0.9752904717044267,0.9753159264842778,0.9753447400429889,0.9753621613436705,0.9753836200213362,0.9754020701518843,0.9754129741299578,0.9754263946206458,0.9754473731276664,0.9754723429789195,0.9754874235319291,0.9755208712032727,0.9755438903049252,0.9755704139911854,0.975591434740326,0.97561496641885,0.975636504009405,0.9756736598421051,0.9756972282264439,0.9757202124171617,0.9757276715285685,0.975744203714808,0.9757546924693724,0.9757776242801354,0.9758047472816834,0.9758263440963019,0.9758449212206293,0.9758609815862119,0.9758926881829397,0.9759042063311896,0.9759258349387776,0.9759398978503467,0.9759474012039492,0.9759668519722,0.9759824423585861,0.9759950064644755,0.9760212155455741,0.976035292649729,0.9760443322766686,0.9760594030076449,0.9760704585148767,0.976121970046262,0.9761482236037975,0.9761744855148169,0.97618139374816,0.9762263311746041,0.9762354092764701,0.9762515400538448,0.9762611306742452,0.9762823708085291,0.9762924751174742,0.9763177296898486,0.9763409657485765,0.9763611687068087,0.976382379338501,0.976413759661247,0.9764258957899973,0.9764405831663254,0.9764821316246428,0.976495322441889,0.9765394553549763,0.9765510876360421,0.9765774793490447,0.9766028641724762,0.9766252226528259,0.9766369233329173,0.9766541659754102,0.9766724298997363,0.9766841426783349,0.9766947697469058,0.9767100348339948,0.976732941741014,0.9767420554919638,0.9767639330760456,0.9768015966866564,0.9768235148910597,0.9768474751247085,0.9768739753559262,0.9768948610669682,0.9769091713492587,0.9769229646678175,0.9769443526435022,0.97697650363592,0.976980064823737,0.9770056077905159,0.9770209667509203,0.9770383450664734,0.9770465168817197,0.9770756548787876,0.9770951012315421,0.9771466990865466,0.9771559717326295,0.9771703493372028,0.9772025807098519,0.9772209698076388,0.977257791007599,0.9772741522545587,0.9772924189612194,0.9773170346722864,0.9773212345068512,0.9773412752146279,0.9773643884295835,0.9773972208711842,0.9774075691678413,0.9774189194561917,0.9774592587088989,0.9774844549851327,0.9774936695875366,0.9775040280745542,0.9775154130961057,0.9775365384695942,0.9775535630399705,0.9775782850821506,0.9776076242204788,0.9776169959933794,0.9776473282386744,0.9776643946362262,0.9776809419944572,0.9776952920205515,0.9777282663924605,0.9777458684534024,0.9777793746774146,0.9777908229697502,0.977809923621266,0.9778269427860292,0.9778435470478881,0.9778632245330757,0.9778797348067226,0.977889598165973,0.9778937224452713,0.9779113765812479,0.9779321221137924,0.9779574954603537,0.9779827727822361,0.9780025081124719,0.9780268765993595,0.9780429792527368,0.9780622187447088,0.9780649924979529,0.9780888595971237,0.9781106645343209,0.9781330024871342,0.9781445495036584,0.9781689703484523,0.9781954356859578,0.9782028312838491,0.9782149106202114,0.978231629991953,0.9782354617340314,0.9782500819151391,0.9782595867719828,0.9782685788869925,0.9782837718547016,0.9782875792809332,0.978293473545039,0.9783050318428016,0.9783253979846728,0.9783348777404436,0.9783464473478077,0.9783482480819561,0.9783567599510362,0.9783657905401982,0.9783706928218271,0.9783724978701347,0.9783758415055452,0.9783781300786394,0.9783866419530124,0.9783992787612186,0.978408324384342,0.9784194402018954,0.9784440009532067,0.9784530342945169,0.9784594844863891,0.9784664765074418,0.9784765743541809,0.9784840426797574,0.9784962158691813,0.978499571578179,0.978510197658149,0.978519734597036,0.9785458778706742,0.9785637092446385,0.9785747103560418,0.9785998614017691,0.9786094529496918,0.9786180334648932,0.9786364531936215,0.9786465953526906,0.9786660167787635,0.9786802923451996,0.9786935574562214,0.9787265394305062,0.9787387779011792,0.9787437436375975,0.9787616860838163,0.9788035248786102,0.9788349375508916,0.9788544049167116,0.9788573244818333,0.9788747680157004,0.9788823561570835,0.9788961935218099,0.9789027586862327,0.9789176427607257,0.9789236706006316,0.9789422020707225,0.9789820405409354,0.9790031880977683,0.9790154194444961,0.9790355157274825,0.9790534696561575,0.9790631895153787,0.9790781073357702,0.9791076210407631,0.9791173310354365,0.9791311777342482,0.9791341435772685,0.9791595157548888,0.9791687069152718,0.9791961664008585,0.9792231024789164,0.9792359794670813,0.9792467410598499,0.9792590817087461,0.9792777084335539,0.9793047005999032,0.9793159788779342,0.9793361119698116,0.9793401558030617,0.9793546433392547,0.9793686130121921,0.979374230053383,0.979392330849205,0.9794037000682827,0.97942291101224,0.9794426505768213,0.9794550559668933,0.9794758303214315,0.9794866866866867,0.9795127243874348,0.9795188816984717,0.9795438861862612,0.9795568523460821,0.9795797445170652,0.9796204640743682,0.9796339716000101,0.9796626695111632,0.9796813383745498,0.9796906489399644,0.9797051256202934,0.9797390504809428,0.9797719604309137,0.9797849708607372,0.9797932662772304,0.9798193509436548,0.9798491483142939,0.9798737417407706,0.979883478717195,0.9798907562710174,0.9799074621621159,0.9799220733440586,0.9799534911134806,0.9799581682562122,0.9799774460189115,0.9799903294007659,0.9800181326773686,0.9800569708903633,0.9800684996159903,0.9800863404439752,0.9801020514914207,0.9801377841953297,0.9801503735188047,0.9801760979552928,0.9801934115110663,0.9802249724824827,0.980241794085695,0.9802775748721695,0.980287574930153,0.9803023180222266,0.9803138732491996,0.9803212488808204,0.9803428432598275,0.980344955122719,0.9803655054868836,0.9803760244739094,0.980388676805781,0.9803980738569981,0.9804128220481642,0.9804423566887549,0.9804481780657521,0.9804528720289356,0.9804681969620545,0.980481932381299,0.980486549299491,0.980498675945728,0.980530389990105,0.9805473233713878,0.9805542234890324,0.9805590014582366,0.9805733041929303,0.9806082057590497,0.9806187465696777,0.9806473321531238,0.9806621759366624,0.9806902280622263,0.9807162043983066,0.9807384848816774,0.9807484639731894,0.9807797560509575,0.9807935858415182,0.9808047720269722,0.9808323806674619,0.9808504628326905,0.9808807371563216,0.9808972325353227,0.9809073726050462,0.9809090442362618,0.9809255615851945,0.9809441948719612,0.9809495437298128,0.9809670946010617,0.9809767338976386,0.9810022951300295,0.9810114118715058,0.9810242367084436,0.981032828483714,0.9810376956646224,0.9810515717278451,0.9810643897373594,0.9810820235634045,0.9811007255454046,0.9811162345783666,0.9811322901232729,0.9811568462140308,0.9811998272319887,0.9812260087829129,0.9812329678300358,0.9812575262949293,0.9812648617870748,0.9812857383821615,0.9813076963969349,0.9813147238305223,0.9813521255462205,0.9813613224647513,0.9813737181404332,0.9813994065269012,0.9814139433160834,0.9814263224574621,0.9814472643690147,0.9814868734979814,0.9815188299841023,0.9815269865214112,0.9815601981159097,0.9815694404733043,0.9815808201319244,0.9816007429737219,0.9816366674951177,0.9816645552992421,0.9816786069256584,0.9816873414298531,0.9817099683121527,0.9817368671991848,0.9817456144075408,0.9817701414266363,0.9817799655855896,0.981809556953787,0.9818182511444278,0.9818184492565634,0.9818496755815449,0.9818723511392724,0.981884340367502,0.9819032817439399,0.9819174108846653,0.9819572562509133,0.9819638710212256,0.9819892649080317,0.9820027922186682,0.9820083844104313,0.9820370130851751,0.9820602714184268,0.9820765872145012,0.9821036423895299,0.9821237342309601,0.9821368589906392,0.9821510509985579,0.982155549715823,0.9821735153429948,0.9821882659627665,0.9821965593424337,0.9822295647648339,0.9822362752002239,0.9822624059254009,0.9822889050910442,0.9823063747707197,0.9823136382934954,0.9823348799387998,0.9823426874820419,0.982360127955579,0.9823700928275956,0.9823891374767565,0.9824017997425027,0.9824090272247374,0.9824372938532172,0.9824548138724384,0.9824744832816588,0.9825151694689055,0.9825305273128729,0.9825599245597492,0.9825962980530644,0.9826073364758919,0.9826394183774556,0.9826650800417175,0.9826902109647686,0.9827255878738852,0.982748040148818,0.9827791133615041,0.9828004930774236,0.9828348336012416,0.9828567787705502,0.9828943898740853,0.9828984925948413,0.9829139769405731,0.9829370012872135,0.9829676261761155,0.9829922697133306,0.9830050760416443,0.9830135612124465,0.9830220488942549,0.9830381010067002,0.9830492993743422,0.9830767308901941,0.9831133519005736,0.9831445829030205,0.9831692915553539,0.9831788762899031,0.9831998356499675,0.9832348840450456,0.9832628836897689,0.9832757490094945,0.9832913370898477,0.9833139578789196,0.9833273884114269,0.9833494525175152,0.9833618081528794,0.9833779551619568,0.9833885631978782,0.9833938679024068,0.9834149114045592,0.9834495220633485,0.9834580863113966,0.9834791230972062,0.9834991170594712,0.9835135765023731,0.9835237946365198,0.9835503254744005,0.9835562139233743,0.9835664523088367,0.9835783155503602,0.9835891040672355,0.9836112975508999,0.9836220853847889,0.9836366753493825,0.9836561847136541,0.9836706581360419,0.983686904539924,0.9836949995379217,0.983718868202312,0.9837536183185316,0.9837780675309431,0.9838248617230296,0.9838455079578887,0.9838618097174806,0.9838982858339599,0.9839063606531214,0.9839183174448873,0.9839373235228579,0.9839634362354491,0.9839742630057323,0.9839796895648929,0.9839904777065295,0.9840029955898261,0.9840144254109161,0.9840274968550528,0.9840514774971876,0.9840733076362861,0.984078754591973,0.9840912889381959,0.9841091776246736,0.9841195342337319,0.9841402902956287,0.9841512105085948,0.9841631838341,0.9841648210261298,0.9841927004150688,0.9841952784867763,0.9842072924920416,0.9842319082377476,0.9842521261743324,0.984278956588691,0.9842970157541739,0.9843161762700847,0.98432548141733,0.9843390858185588,0.9843506156920321,0.9843862502777331,0.9844081646747325,0.9844197021416922,0.9844285009131194,0.984457607096688,0.9844762900478836,0.9844971740075583,0.9845043522277362,0.9845318259548845,0.9845373645039722,0.9845632137429061,0.9845709297104016,0.9845858063105133,0.984634760986411,0.9846490261159105,0.9846583918886633,0.9846782225755593,0.9846964187598555,0.9847113211951708,0.9847322957133242,0.9847543773205022,0.984766003239564,0.9847754229592478,0.984792017849398,0.9848074830049858,0.9848119666004154,0.9848280158044065,0.9848495779525287,0.9848744440696756,0.9849086181161479,0.9849180885576894,0.984931971418594,0.9849486066364717,0.9849689470201567,0.9849800282415334,0.9849972392366629,0.9850249379002876,0.985041609902126,0.9850582704481623,0.9850721930931996,0.9850888136398741,0.9850999094178527,0.9851171004499012,0.9851536724152239,0.9851604389786774,0.9851760487935662,0.9851994010870864,0.9852067055154762,0.985226686689147,0.9852544742556658,0.9852783913730532,0.9852890316205534,0.9853196017542579,0.9853258000381907,0.9853382219034078,0.9853494567776109,0.9853562492308955,0.9853624981875934,0.9853703941022925,0.9853816407033947,0.9853884503087553,0.9854035819341139,0.9854347335794155,0.9854498775676893,0.9854822058000287,0.9854923469344691,0.9855069282758411,0.9855292968695031,0.985538348597409,0.9855590321786903,0.9855614473355213,0.9855910556627286,0.985607332379418,0.985618640720685,0.9856276094158458,0.9856450350251,0.9856730229380449,0.9856815701167259,0.9856972646899778,0.9857169122001234,0.9857387419655976,0.9857617636953746,0.9857792067096098,0.985815498771399,0.9858435212378226,0.9858442820214196,0.9858539011873486,0.9858669116770922,0.9858687579248198,0.9858839147013134,0.9859153417629977,0.9859228230300174,0.985938107553329,0.9859511438507003,0.9859547322218026,0.9859967735752078,0.9860109645625429,0.9860273988099278,0.9860304350285682,0.9860373931714603,0.9860622090634688,0.9860741969953545,0.9860828395399966,0.9860898098940686,0.9861034354672127,0.9861137539529363,0.9861224078282285,0.986134400464075,0.9861514333566768,0.986161718621612,0.9861759744999977,0.9862288015491677,0.9862626209937133,0.9862942308630172,0.9863101959745613,0.9863283964441691,0.9863555411572004,0.9863692850698247,0.9863774197630989,0.9863827420128453,0.9864004087541514,0.9864354367330577,0.9864458276069648,0.9864629222775325,0.9864884671363663,0.9865100969725276,0.9865311733353488,0.9865455279169497,0.9865800617247807,0.9866011602169422,0.9866037436503121,0.9866265360373734,0.9866587938020532,0.986667569377397,0.9867044053287082,0.986728345701581,0.9867320661751647,0.9867633068618448,0.986768696753357,0.9867904230424682,0.9868053890288504,0.9868248422393495,0.9868415204898278,0.9868615709355496,0.9868804955522611,0.9869095681063881,0.9869127589482315,0.9869300352010876,0.9869439322535405,0.9869555445780631,0.9869683164984125,0.9869805441387343,0.986987669074413,0.9870060263726579,0.9870142918715872,0.9870282177231351,0.9870438389708167,0.9870515430944133,0.9870581514909174,0.9870658971373464,0.9870899798632714,0.9870971465931484,0.9871116651776605,0.9871408170008998,0.9871756751811461,0.9871855360748862,0.9871983700672599,0.9872026782271619,0.9872132815258009,0.9872267128285097,0.9872480517220854,0.9872626158835197,0.9872754088186426,0.9872871626167796,0.9873107726706253,0.9873264584024292,0.9873438607326249,0.9873550526786855,0.9873707604765608,0.9873995122132964,0.9874265829279688,0.9874439369318436,0.9874523297491039,0.9874765910218503,0.9875235138851679,0.987533063660097,0.9875703646825964,0.9875979003618978,0.9876068996754762,0.9876170358627683,0.9876322724357078,0.9876548953388529,0.9876661714982922,0.9876933259562234,0.987694949205895,0.9877227062691096,0.9877498981122163,0.9877617593354889,0.9877838620476306,0.9877900516899889,0.9877978915787391,0.9878182990721197,0.9878421096845393,0.9878699288988384,0.987896024031823,0.9879232170366805,0.9879396672439842,0.9879566501600655,0.9879680037599269,0.9879895985510786,0.9880089305005402,0.9880100151841256,0.9880333082430294,0.9880629020729093,0.9880714422024188,0.988089657117057,0.9880975861826344,0.9881044121481161,0.988115814274407,0.988118090932118,0.9881294986862812,0.9881329118490229,0.9881568746525599,0.9881951092209327,0.9882042472101518,0.988232786826543,0.9882470442870273,0.9882624754529399,0.9882755934722387,0.9882881716602073,0.9883116147439781,0.9883264680801862,0.9883356115116233,0.9883522219606967,0.9883819865842774,0.9883997202326303,0.9884071991547833,0.9884243840815171,0.9884290020419408,0.9884456037432539,0.9884559558733704,0.9884702645046748,0.988497765288387,0.9885121123301319,0.9885241133823159,0.988529884012472,0.9885614504013663,0.9885683747059785,0.9885787066882481,0.9886005525774869,0.9886155259382289,0.9886287706891992,0.9886506423606478,0.9886581806092486,0.9886657080218608,0.9886846812546214,0.988701971916015,0.9887175592817278,0.9887296676445243,0.9887607625629783,0.9887665968463524,0.9887724394353106,0.9887891933727596,0.9887973397677294,0.9888054561486003,0.988822216977348,0.9888292095268882,0.988844829561347,0.9888552720809503,0.98887147016308,0.988877899501405,0.988884912703331,0.9889010974941191,0.9889130324692674,0.988919485358328,0.9889270854076488,0.9889433136631548,0.9889693397971053,0.9889850236401386,0.9889960321390907,0.9890047901539609,0.9890066530090077,0.9890142815505684,0.9890276593933613,0.9890375940551106,0.9890503839801431,0.9890527936724588,0.9890627306186954,0.9890830395011924,0.9890958069190416,0.9891080521384662,0.9891168050587038,0.9891383106491032,0.9891760039570217,0.989180753375612,0.9891965148917402,0.9892162831378589,0.9892232966591168,0.9892239275797436,0.9892512277087777,0.9892594322717491,0.9892677022392576,0.9892759685080631,0.9892830487100117,0.9893011525480843,0.9893198225451039,0.9893263529472351,0.9893368514270697,0.989348617778998,0.9893655452565929,0.9893876991709616,0.9894122222443489,0.989426314593209,0.9894323018739692,0.9894435091498377,0.9894493340045937,0.989463441512575,0.9894839471459443,0.9894886645162387,0.9895062734808348,0.9895133054556269,0.989517560198643,0.9895334468510567,0.9895441122618567,0.9895640434929346,0.98957238746127,0.9895894310208064,0.9896018251272098,0.9896024644443988,0.9896026509128226,0.9896114791921136,0.9896250723500775,0.9896374335957083,0.9896544710907127,0.9896628415515791,0.9896735484197213,0.9896900426077471,0.9896971796646936,0.9897176622300872,0.9897231378262195,0.9897280145379048,0.989737528884536,0.989743556536415,0.989763031277893,0.9897713842549981,0.9897761399288882,0.9897838786388636,0.9897905438366205,0.9897977522528442,0.9898079216976817,0.9898163380666898,0.9898352427379642,0.9898611816219397,0.98987369691151,0.9898856085209089,0.9899121471906215,0.9899193726822965,0.9899271609040002,0.989960702190124,0.9899808377323115,0.9899939244398706,0.9899982520414502,0.9900072587499239,0.9900302807258395,0.9900399218460589,0.9900624311204215,0.9900831985304764,0.9900934381663018,0.9901013337747718,0.9901080668126795,0.9901218227700176,0.9901390972284658,0.9901587322246352,0.990179528188961,0.9901973722755602,0.9902216697741869,0.9902348259436905,0.9902404220486054,0.9902647855161517,0.9902738957664409,0.9902929818128179,0.9903149794313294,0.9903275833358519,0.9903372966834577,0.9903563034077201,0.9903683848234915,0.9903775165845076,0.9903843131393827,0.9903940264297739,0.9904083752735782,0.9904433729048705,0.9904472453038917,0.9904540527834729,0.9904591040427253,0.9904741207577239,0.9904874117659634,0.9905100640126683,0.9905192238345965,0.990531357451357,0.9905340711635325,0.9905461997577412,0.9905576592696512,0.9905621507404199,0.9905678160468434,0.9905705262782275,0.9905844493815263,0.9906013069406832,0.9906111080368177,0.9906262014066352,0.9906389133592057,0.9906427999923799,0.9906565928716925,0.9906669953942409,0.9906768223170178,0.990705526881413,0.9907199805521776,0.990737485206078,0.9907656307182102,0.9907689299529594,0.9907852373002624,0.9907950728951989,0.9908125994546249,0.9908188362094935,0.9908505498321358,0.9908775610798218,0.9908803287856334,0.9908937442321077,0.9908970417027374,0.9909128202800915,0.9909262477678438,0.9909349389530022,0.9909519320268748,0.9909547090126662,0.9909722977552062,0.9909768557785241,0.9909897037996643,0.9909899944632921,0.9910028704700394,0.9910097534396022,0.9910112601524126,0.9910264855689638,0.9910322542038178,0.991045126291131,0.9910548864695505,0.9910725297831806,0.9910872170068642,0.9911042834555124,0.9911081666014735,0.9911198023853474,0.9911255350295686,0.9911342980345387,0.9911430638549371,0.9911452697335488,0.9911539976699272,0.9911681258519577,0.9911929601262964,0.9912112146101408,0.9912199646950538,0.9912375668989952,0.9912498574455442,0.9912723055089294,0.9912757569316603,0.9912887026977036,0.9913064160979659,0.9913098692996173,0.9913353353209008,0.9913423477399183,0.9913487561958809,0.9913587371433037,0.9913663061077372,0.9913691292279421,0.9913796577243571,0.9913843196181021,0.9913937648864404,0.9914156582100931,0.9914197211003123,0.9914410968205231,0.9914539588429401,0.9914687091665613,0.991506110083897,0.9915119826757947,0.9915208439393072,0.9915243105141693,0.9915271908530544,0.9915522009485164,0.9915736281146739,0.9916004187127958,0.9916062829245934,0.9916301233525349,0.9916468032401667,0.9916544831735048,0.9916616023941587,0.9916668628327958,0.9916979332369428,0.9917032115412366,0.9917054670845638,0.9917203072932931,0.9917374793542705,0.9917626024689836,0.9917757472473017,0.9917778378185612,0.9917831853939955,0.991787325405842,0.9917962301119355,0.9917979095889036,0.991812873279805,0.9918188258968466,0.9918295769073902,0.9918373152168979,0.9918588553486455,0.9918827807424467,0.9918887496139662,0.9919107199313901,0.9919190303805688,0.9919219691177237,0.9919236968720081,0.9919302198871139,0.9919559376939789,0.9919643116978862,0.991972004191367,0.9920044299206447,0.9920086283035532,0.9920146287245247,0.9920205681234135,0.9920343702509674,0.9920439377136291,0.9920505066633316,0.9920558296111164,0.9920835241344714,0.9921051784368168,0.9921202006584523,0.992129252105773,0.9921430919923109,0.9921455116601648,0.9921473193767949,0.9921641568700893,0.9921724910282553,0.9921803530762793,0.992188103602987,0.9921892065385048,0.9922012734775748,0.9922072863059932,0.9922157551362806,0.9922278657043386,0.9922611149036872,0.9922617495937495,0.9922690005257153,0.9922829229358525,0.9922932125792419,0.992307087511603,0.992330660047256,0.992351807117258,0.9923633352278133,0.9923705652271234,0.9923954326233866,0.9924045056796896,0.9924086443816036,0.9924176765851896,0.9924255558133005,0.9924327670832084,0.9924381627599516,0.9924430095548015,0.9924842895811837,0.9924921090159458,0.9924975051775586,0.9925072549868103,0.9925151924354784,0.9925219234021427,0.9925462078243721,0.9925541648725877,0.9925650603102438,0.9925687540151121,0.9925742574257426,0.9925810003347791,0.9925980428765039,0.9926041887964481,0.9926316195556927,0.9926480135427461,0.9926589813846617,0.9926663039642395,0.9926821899995649,0.9926846428982935,0.9926914233488274,0.9926962145141355,0.992699879506621,0.9927024176039839,0.9927213126418887,0.9927353287814359,0.9927414930838928,0.992756109251841,0.9927665315813575,0.9927769530468181,0.992816645143621,0.9928343831685698,0.9928466078055211,0.9928564801929678,0.9928633097061814,0.9928633634011986,0.9928744202629064,0.9928811685728707,0.9928940727367536,0.9929069377688804,0.992907644366037,0.9929413342619379,0.9929467697103695,0.9929621197713658,0.9929677040082979,0.9929702809979024,0.9929783401838083,0.992988852620558,0.9929987008851106,0.9930141060963769,0.993017192667436,0.99302649930265,0.993027162137589,0.9930517493623577,0.9930598334236695,0.9930709611289246,0.9930735124305439,0.9930919644190205,0.993093328610823,0.9931057338866356,0.9931137927841733,0.9931243791598988,0.9931348545988385,0.9931386250941046,0.9931473468669217,0.9931585174110604,0.9931783129671372,0.9931851835371537,0.9932097426130839,0.9932165959701437,0.9932240030324411,0.9932290980562415,0.9932311186685165,0.9932410862765283,0.9932454465857514,0.9932566162026877,0.9932621813076754,0.9932795740531505,0.9932901698139378,0.9932956610385315,0.9933079809280864,0.9933204463361895,0.9933254179437255,0.9933304492479479,0.9933342466483714,0.9933393308082765,0.9933523502418454,0.993372796772797,0.9933760085954322,0.9933842302335032,0.9933943038980123,0.993415956622773,0.993419435263384,0.9934251906657452,0.9934303187776505,0.9934384726374247,0.9934423785355309,0.9934549028891254,0.9934791254956064,0.9934995148566979,0.9935207815599988,0.9935239620865105,0.9935307830483004,0.9935352952227623,0.9935515582904536,0.993555300821083,0.9935616747861516,0.9935716420140446,0.9935760211305754,0.9935799310725357,0.9935855191444036,0.9935961413621112,0.9935981954812257,0.9936030753103262,0.9936204285919998,0.9936273962729527,0.9936418297262545,0.9936498768770942,0.9936618246583717,0.993675707817202,0.9936957457829145,0.9937015491779745,0.9937290317425238,0.9937360955620063,0.9937450391528325,0.9937531972624251,0.9937608273416576,0.9937814613565812,0.9937864907734826,0.9938028049277515,0.9938142125562607,0.9938182016006644,0.9938308280975009,0.9938379064770477,0.9938375451783014,0.9938440090156047,0.9938467623531002,0.9938551308124159,0.9938590543732561,0.9938604016255377,0.9938649038807802,0.9938887879680032,0.9939037532329531,0.993903975074477,0.993906042876438,0.9939111846641843,0.9939139539549581,0.9939185558043678,0.9939330610852251,0.9939339496825204,0.9939409415916055,0.9939641615029225,0.9939742852623571,0.9939733017266491,0.993978494623656,0.9939830651638878,0.9939875542624484,0.9939900961609744,0.9939996870713332,0.9940099626557529,0.9940108957947412,0.9940149462885437,0.9940317785312554,0.9940376421012909,0.9940459340617864,0.9940528436178493,0.9940606508363734,0.9940638456033369,0.9940646878515593,0.994076212100319,0.9940909228312181,0.9941031043420476,0.9941045989546027,0.9941167797481626,0.994120067836645,0.9941271429120723,0.9941341947946652,0.9941356074564806,0.9941496678441754,0.9941543523486673,0.9941665467925471,0.9941756309154735,0.9941840907269224,0.9941875291949147,0.9941903081308539,0.9942050674875681,0.994221025865804,0.9942306003700552,0.9942352005327575,0.9942405763215267,0.9942459465967719,0.994268848288841,0.9942804827004518,0.9942825993335918,0.9942891586992767,0.9943014572150649,0.994308694631571,0.9943108179259229,0.9943255686773923,0.9943328357471959,0.9943363026852067,0.9943542324890964,0.9944024698302182,0.9944027935983417,0.9944055137593693,0.9944159003924904,0.9944267657238485,0.9944472094976937,0.9944507434519915,0.9944605857420018,0.9944659312859478,0.9944748015928409,0.9944797665483246,0.9944883279251281,0.9945131412869294,0.9945274165761238,0.9945498739567051,0.994565075831645,0.9945792277226339,0.9945800319173074,0.9945923645993442,0.9946045269582909,0.9946174914992105,0.9946228249441388,0.9946267581843965,0.9946365906813229,0.9946393715660762,0.994643382301455,0.9946494954774739,0.994652855917487,0.9946612791147226,0.9946705534381173,0.994679451276199,0.9946822714552566,0.9946857233554713,0.9946940638803595,0.9947133709625683,0.994722899604967,0.9947339610387125,0.9947362107098234,0.9947580153602341,0.9947713202767433,0.9947772425960917,0.9947793352626076,0.994789746865767,0.9947956302463018,0.99479815778474,0.9948017545676417,0.9948096454408573,0.9948160914762244,0.9948208600941417,0.9948297714568324,0.994840254589249,0.9948487459179768,0.9948541090624146,0.9948697064232402,0.9948732268441813,0.9948766599769008,0.9948828376769736,0.9948861495397534,0.9948877890200271,0.9948916986256053,0.9948953256418033,0.9948987477753372,0.9949041546150308,0.9949096125813538,0.9949227210159691,0.9949236102508542,0.9949298179728902,0.9949346233167847,0.9949730347340371,0.9949803427807898,0.9949878406466142,0.9950008354433634,0.9950006684629465,0.9950016811066117,0.9950090084760693,0.9950142395171685,0.9950165290159977,0.9950276285751788,0.9950342537383072,0.9950370675055374,0.9950444403668544,0.9950439769766456,0.9950552412703463,0.9950557205796048,0.9950708540566872,0.9950743424347043,0.9950754474961486,0.9950795194021151,0.9950911952991037,0.9950965183474196,0.9951168025475982,0.9951182745601124,0.9951231948366277,0.995129373396631,0.9951354883365359,0.9951365586648171,0.9951362119035562,0.9951476130856167,0.995147127338474,0.9951568513134609,0.9951640724199551,0.995165142989425,0.9951694601747246,0.9951750694889611,0.9951783124999596,0.9951863680635777,0.9951937921271402,0.9952067575459738,0.9952076480755793,0.9952117529699828,0.9952288920261465,0.9952336360779078,0.9952392557553477,0.9952569979701559,0.9952586628936552,0.9952635129000039,0.9952651306289416,0.9952747209249659,0.9952829331484928,0.9952950493506999,0.9952991988510307,0.9953181106443004,0.9953230140835738,0.995326225314536,0.9953284512139008,0.995337886239744,0.9953408052097678,0.9953436618197828,0.9953556414321016,0.995357867130251,0.9953595487484903,0.9953690415054943,0.9953702317357855,0.9953757391036538,0.9954047122539704,0.995411550204246,0.9954177634150791,0.9954226878024144,0.9954245311610936,0.9954268720000052,0.9954307796040748,0.9954538042592049,0.9954539256539385,0.9954535310017372,0.9954576488910762,0.9954643477625008,0.9954641833081163,0.9954774804785093,0.9954820930159626,0.9954842828864777,0.9954854069997764,0.9954900787617824,0.9954906375957218,0.9955038230260782,0.9955082484000793,0.9955143010287526,0.9955221916645991,0.9955319810749308,0.9955375272149926,0.9955512662511458,0.9955545215031917,0.9955630320854143,0.9955674473966377,0.9955681563241675,0.9955758426044651,0.9955790928836852,0.995587592204221,0.9956000549090028,0.9956117041368886,0.9956115394370102,0.9956151938265715,0.9956137842352621,0.99562001654412,0.9956290802650836,0.9956330067574236,0.995636438306938,0.9956360940902615,0.9956385730812256,0.9956424317549224,0.9956462249825921,0.9956491314076967,0.9956494254275263,0.9956530942359317,0.9956603646639306,0.9956666193758269,0.9956750727641123,0.9956762394505193,0.995679450054205,0.9956800816828463,0.9956839465137002,0.9956929870809433,0.9957008335294009,0.9957145501666049,0.9957241582742663,0.9957349671818759,0.9957408532589919,0.9957486787865626,0.9957532529367319,0.9957555465031943,0.9957598339185456,0.9957748850256993,0.9957992916816691,0.9958095657590378,0.9958179483861979,0.9958282065270052,0.9958326279274344,0.9958343544876661,0.9958401766778818,0.9958475365350988,0.9958564986882015,0.9958577442029034,0.995864593886091,0.9958717604463422,0.9958793649483823,0.9958792104804237,0.9958821187414529,0.9958863935940704,0.9958882800659528,0.995891226108506,0.9958935372367724,0.995903724184095,0.9959095117025448,0.9959205270086601,0.9959249105028658,0.9959340148698885,0.9959412814679233,0.9959439771868757,0.9959631134671123,0.995966065764623,0.9959733024067272,0.9959753021699533,0.9959991837799684,0.9959983297376296,0.9960004257287425,0.9959995848941647,0.9960044442688287,0.9960076765146212,0.9960098657827398,0.9960150070571772,0.9960231371360688,0.9960241781468606,0.9960349083688856,0.9960413710275327,0.9960568299731931,0.9960634572834096,0.9960755925224055,0.9960823828140744,0.9960848010849119,0.9960896194420599,0.996100871621299,0.9961215751005928,0.9961262113579994,0.9961307092062065,0.9961353567725516,0.9961373942666404,0.9961475959867085,0.9961542298080215,0.9961593906808586,0.9961597474902459,0.9961655551747125,0.996178589844309,0.9961852754332413,0.9961875135496917,0.9961926164461402,0.9961923273436043,0.9961941812689353,0.9961964868902561,0.9961968079168102,0.9962090318580753,0.9962288401296374,0.9962331172732674,0.9962462167367635,0.9962493017858014,0.996257048975758,0.9962637379039617,0.9962830325458648,0.9962877480747828,0.9963085066707065,0.9963135788727637,0.996322592093267,0.9963383615119901,0.9963457380894539,0.9963607574471387,0.9964010279274511,0.9964142028363431,0.9964240814423122,0.9964262428354353,0.996431549767904,0.9964418544956063,0.9964629238872863,0.996475143543253,0.9964812520342547,0.9964873349098713,0.996493966089629,0.9964940535861997,0.9965042990544067,0.9965124193651205,0.9965224514213425,0.9965277181981472,0.9965424138127614,0.9965452285049231,0.9965530830031643,0.996561795820074,0.9965650644540972,0.9965668357991406,0.9965827085188933,0.9965854980930524,0.9966021592373705,0.9966129134745817,0.9966526213182809,0.9966657397146371,0.9966847477624817,0.9967019657946738,0.9967237377131495,0.9967261733351744,0.9967416936108439,0.9967456935349678,0.9967623060897592,0.9967650609875824,0.9967817934687903,0.9967873469177084,0.9968036325595102,0.9968278750047173,0.9968524132314781,0.9968573030773786,0.9968692823744664,0.996884324313706,0.9969244192540628,0.9969332097805438,0.9969498263330252,0.996957386495786,0.9969824005127449,0.9969870770761363,0.9969991696216008,0.9970276926347867,0.9970462370408976,0.9970728725370334,0.9970957815104501,0.9971093401193352,0.9971347134927907,0.9971529790660225,0.9971658176078065,0.9971938573861554,0.9972294099039408,0.9972483170123595,0.9972890270764213,0.9973080527740621,0.9973388628680724,0.9973653961940557,0.9974383056158588,0.9974627553506682,0.9975237629344776,0.9975506525787812,0.9976282980314426,0.9976832999040203,0.9977574898402798,0.9978725022050549,0.9980210924094318,0.9981068272542145,0.9982851205546621,0.998451470075461]}],\\\"layout\\\":{\\\"legend\\\":{\\\"title\\\":{\\\"text\\\":\\\"Method\\\"}},\\\"template\\\":{\\\"data\\\":{\\\"bar\\\":[{\\\"error_x\\\":{\\\"color\\\":\\\"#2a3f5f\\\"},\\\"error_y\\\":{\\\"color\\\":\\\"#2a3f5f\\\"},\\\"marker\\\":{\\\"line\\\":{\\\"color\\\":\\\"white\\\",\\\"width\\\":0.5}},\\\"type\\\":\\\"bar\\\"}],\\\"barpolar\\\":[{\\\"marker\\\":{\\\"line\\\":{\\\"color\\\":\\\"white\\\",\\\"width\\\":0.5}},\\\"type\\\":\\\"barpolar\\\"}],\\\"carpet\\\":[{\\\"aaxis\\\":{\\\"endlinecolor\\\":\\\"#2a3f5f\\\",\\\"gridcolor\\\":\\\"#C8D4E3\\\",\\\"linecolor\\\":\\\"#C8D4E3\\\",\\\"minorgridcolor\\\":\\\"#C8D4E3\\\",\\\"startlinecolor\\\":\\\"#2a3f5f\\\"},\\\"baxis\\\":{\\\"endlinecolor\\\":\\\"#2a3f5f\\\",\\\"gridcolor\\\":\\\"#C8D4E3\\\",\\\"linecolor\\\":\\\"#C8D4E3\\\",\\\"minorgridcolor\\\":\\\"#C8D4E3\\\",\\\"startlinecolor\\\":\\\"#2a3f5f\\\"},\\\"type\\\":\\\"carpet\\\"}],\\\"choropleth\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"type\\\":\\\"choropleth\\\"}],\\\"contour\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"colorscale\\\":[[0.0,\\\"#0d0887\\\"],[0.1111111111111111,\\\"#46039f\\\"],[0.2222222222222222,\\\"#7201a8\\\"],[0.3333333333333333,\\\"#9c179e\\\"],[0.4444444444444444,\\\"#bd3786\\\"],[0.5555555555555556,\\\"#d8576b\\\"],[0.6666666666666666,\\\"#ed7953\\\"],[0.7777777777777778,\\\"#fb9f3a\\\"],[0.8888888888888888,\\\"#fdca26\\\"],[1.0,\\\"#f0f921\\\"]],\\\"type\\\":\\\"contour\\\"}],\\\"contourcarpet\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"type\\\":\\\"contourcarpet\\\"}],\\\"heatmap\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"colorscale\\\":[[0.0,\\\"#0d0887\\\"],[0.1111111111111111,\\\"#46039f\\\"],[0.2222222222222222,\\\"#7201a8\\\"],[0.3333333333333333,\\\"#9c179e\\\"],[0.4444444444444444,\\\"#bd3786\\\"],[0.5555555555555556,\\\"#d8576b\\\"],[0.6666666666666666,\\\"#ed7953\\\"],[0.7777777777777778,\\\"#fb9f3a\\\"],[0.8888888888888888,\\\"#fdca26\\\"],[1.0,\\\"#f0f921\\\"]],\\\"type\\\":\\\"heatmap\\\"}],\\\"heatmapgl\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"colorscale\\\":[[0.0,\\\"#0d0887\\\"],[0.1111111111111111,\\\"#46039f\\\"],[0.2222222222222222,\\\"#7201a8\\\"],[0.3333333333333333,\\\"#9c179e\\\"],[0.4444444444444444,\\\"#bd3786\\\"],[0.5555555555555556,\\\"#d8576b\\\"],[0.6666666666666666,\\\"#ed7953\\\"],[0.7777777777777778,\\\"#fb9f3a\\\"],[0.8888888888888888,\\\"#fdca26\\\"],[1.0,\\\"#f0f921\\\"]],\\\"type\\\":\\\"heatmapgl\\\"}],\\\"histogram\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"histogram\\\"}],\\\"histogram2d\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"colorscale\\\":[[0.0,\\\"#0d0887\\\"],[0.1111111111111111,\\\"#46039f\\\"],[0.2222222222222222,\\\"#7201a8\\\"],[0.3333333333333333,\\\"#9c179e\\\"],[0.4444444444444444,\\\"#bd3786\\\"],[0.5555555555555556,\\\"#d8576b\\\"],[0.6666666666666666,\\\"#ed7953\\\"],[0.7777777777777778,\\\"#fb9f3a\\\"],[0.8888888888888888,\\\"#fdca26\\\"],[1.0,\\\"#f0f921\\\"]],\\\"type\\\":\\\"histogram2d\\\"}],\\\"histogram2dcontour\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"colorscale\\\":[[0.0,\\\"#0d0887\\\"],[0.1111111111111111,\\\"#46039f\\\"],[0.2222222222222222,\\\"#7201a8\\\"],[0.3333333333333333,\\\"#9c179e\\\"],[0.4444444444444444,\\\"#bd3786\\\"],[0.5555555555555556,\\\"#d8576b\\\"],[0.6666666666666666,\\\"#ed7953\\\"],[0.7777777777777778,\\\"#fb9f3a\\\"],[0.8888888888888888,\\\"#fdca26\\\"],[1.0,\\\"#f0f921\\\"]],\\\"type\\\":\\\"histogram2dcontour\\\"}],\\\"mesh3d\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"type\\\":\\\"mesh3d\\\"}],\\\"parcoords\\\":[{\\\"line\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"parcoords\\\"}],\\\"pie\\\":[{\\\"automargin\\\":true,\\\"type\\\":\\\"pie\\\"}],\\\"scatter\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scatter\\\"}],\\\"scatter3d\\\":[{\\\"line\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scatter3d\\\"}],\\\"scattercarpet\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scattercarpet\\\"}],\\\"scattergeo\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scattergeo\\\"}],\\\"scattergl\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scattergl\\\"}],\\\"scattermapbox\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scattermapbox\\\"}],\\\"scatterpolar\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scatterpolar\\\"}],\\\"scatterpolargl\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scatterpolargl\\\"}],\\\"scatterternary\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"type\\\":\\\"scatterternary\\\"}],\\\"surface\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"},\\\"colorscale\\\":[[0.0,\\\"#0d0887\\\"],[0.1111111111111111,\\\"#46039f\\\"],[0.2222222222222222,\\\"#7201a8\\\"],[0.3333333333333333,\\\"#9c179e\\\"],[0.4444444444444444,\\\"#bd3786\\\"],[0.5555555555555556,\\\"#d8576b\\\"],[0.6666666666666666,\\\"#ed7953\\\"],[0.7777777777777778,\\\"#fb9f3a\\\"],[0.8888888888888888,\\\"#fdca26\\\"],[1.0,\\\"#f0f921\\\"]],\\\"type\\\":\\\"surface\\\"}],\\\"table\\\":[{\\\"cells\\\":{\\\"fill\\\":{\\\"color\\\":\\\"#EBF0F8\\\"},\\\"line\\\":{\\\"color\\\":\\\"white\\\"}},\\\"header\\\":{\\\"fill\\\":{\\\"color\\\":\\\"#C8D4E3\\\"},\\\"line\\\":{\\\"color\\\":\\\"white\\\"}},\\\"type\\\":\\\"table\\\"}]},\\\"layout\\\":{\\\"annotationdefaults\\\":{\\\"arrowcolor\\\":\\\"#2a3f5f\\\",\\\"arrowhead\\\":0,\\\"arrowwidth\\\":1},\\\"coloraxis\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":0,\\\"ticks\\\":\\\"\\\"}},\\\"colorscale\\\":{\\\"diverging\\\":[[0,\\\"#8e0152\\\"],[0.1,\\\"#c51b7d\\\"],[0.2,\\\"#de77ae\\\"],[0.3,\\\"#f1b6da\\\"],[0.4,\\\"#fde0ef\\\"],[0.5,\\\"#f7f7f7\\\"],[0.6,\\\"#e6f5d0\\\"],[0.7,\\\"#b8e186\\\"],[0.8,\\\"#7fbc41\\\"],[0.9,\\\"#4d9221\\\"],[1,\\\"#276419\\\"]],\\\"sequential\\\":[[0.0,\\\"#0d0887\\\"],[0.1111111111111111,\\\"#46039f\\\"],[0.2222222222222222,\\\"#7201a8\\\"],[0.3333333333333333,\\\"#9c179e\\\"],[0.4444444444444444,\\\"#bd3786\\\"],[0.5555555555555556,\\\"#d8576b\\\"],[0.6666666666666666,\\\"#ed7953\\\"],[0.7777777777777778,\\\"#fb9f3a\\\"],[0.8888888888888888,\\\"#fdca26\\\"],[1.0,\\\"#f0f921\\\"]],\\\"sequentialminus\\\":[[0.0,\\\"#0d0887\\\"],[0.1111111111111111,\\\"#46039f\\\"],[0.2222222222222222,\\\"#7201a8\\\"],[0.3333333333333333,\\\"#9c179e\\\"],[0.4444444444444444,\\\"#bd3786\\\"],[0.5555555555555556,\\\"#d8576b\\\"],[0.6666666666666666,\\\"#ed7953\\\"],[0.7777777777777778,\\\"#fb9f3a\\\"],[0.8888888888888888,\\\"#fdca26\\\"],[1.0,\\\"#f0f921\\\"]]},\\\"colorway\\\":[\\\"#636efa\\\",\\\"#EF553B\\\",\\\"#00cc96\\\",\\\"#ab63fa\\\",\\\"#FFA15A\\\",\\\"#19d3f3\\\",\\\"#FF6692\\\",\\\"#B6E880\\\",\\\"#FF97FF\\\",\\\"#FECB52\\\"],\\\"font\\\":{\\\"color\\\":\\\"#2a3f5f\\\"},\\\"geo\\\":{\\\"bgcolor\\\":\\\"white\\\",\\\"lakecolor\\\":\\\"white\\\",\\\"landcolor\\\":\\\"white\\\",\\\"showlakes\\\":true,\\\"showland\\\":true,\\\"subunitcolor\\\":\\\"#C8D4E3\\\"},\\\"hoverlabel\\\":{\\\"align\\\":\\\"left\\\"},\\\"hovermode\\\":\\\"closest\\\",\\\"mapbox\\\":{\\\"style\\\":\\\"light\\\"},\\\"paper_bgcolor\\\":\\\"white\\\",\\\"plot_bgcolor\\\":\\\"white\\\",\\\"polar\\\":{\\\"angularaxis\\\":{\\\"gridcolor\\\":\\\"#EBF0F8\\\",\\\"linecolor\\\":\\\"#EBF0F8\\\",\\\"ticks\\\":\\\"\\\"},\\\"bgcolor\\\":\\\"white\\\",\\\"radialaxis\\\":{\\\"gridcolor\\\":\\\"#EBF0F8\\\",\\\"linecolor\\\":\\\"#EBF0F8\\\",\\\"ticks\\\":\\\"\\\"}},\\\"scene\\\":{\\\"xaxis\\\":{\\\"backgroundcolor\\\":\\\"white\\\",\\\"gridcolor\\\":\\\"#DFE8F3\\\",\\\"gridwidth\\\":2,\\\"linecolor\\\":\\\"#EBF0F8\\\",\\\"showbackground\\\":true,\\\"ticks\\\":\\\"\\\",\\\"zerolinecolor\\\":\\\"#EBF0F8\\\"},\\\"yaxis\\\":{\\\"backgroundcolor\\\":\\\"white\\\",\\\"gridcolor\\\":\\\"#DFE8F3\\\",\\\"gridwidth\\\":2,\\\"linecolor\\\":\\\"#EBF0F8\\\",\\\"showbackground\\\":true,\\\"ticks\\\":\\\"\\\",\\\"zerolinecolor\\\":\\\"#EBF0F8\\\"},\\\"zaxis\\\":{\\\"backgroundcolor\\\":\\\"white\\\",\\\"gridcolor\\\":\\\"#DFE8F3\\\",\\\"gridwidth\\\":2,\\\"linecolor\\\":\\\"#EBF0F8\\\",\\\"showbackground\\\":true,\\\"ticks\\\":\\\"\\\",\\\"zerolinecolor\\\":\\\"#EBF0F8\\\"}},\\\"shapedefaults\\\":{\\\"line\\\":{\\\"color\\\":\\\"#2a3f5f\\\"}},\\\"ternary\\\":{\\\"aaxis\\\":{\\\"gridcolor\\\":\\\"#DFE8F3\\\",\\\"linecolor\\\":\\\"#A2B1C6\\\",\\\"ticks\\\":\\\"\\\"},\\\"baxis\\\":{\\\"gridcolor\\\":\\\"#DFE8F3\\\",\\\"linecolor\\\":\\\"#A2B1C6\\\",\\\"ticks\\\":\\\"\\\"},\\\"bgcolor\\\":\\\"white\\\",\\\"caxis\\\":{\\\"gridcolor\\\":\\\"#DFE8F3\\\",\\\"linecolor\\\":\\\"#A2B1C6\\\",\\\"ticks\\\":\\\"\\\"}},\\\"title\\\":{\\\"x\\\":0.05},\\\"xaxis\\\":{\\\"automargin\\\":true,\\\"gridcolor\\\":\\\"#EBF0F8\\\",\\\"linecolor\\\":\\\"#EBF0F8\\\",\\\"ticks\\\":\\\"\\\",\\\"title\\\":{\\\"standoff\\\":15},\\\"zerolinecolor\\\":\\\"#EBF0F8\\\",\\\"zerolinewidth\\\":2},\\\"yaxis\\\":{\\\"automargin\\\":true,\\\"gridcolor\\\":\\\"#EBF0F8\\\",\\\"linecolor\\\":\\\"#EBF0F8\\\",\\\"ticks\\\":\\\"\\\",\\\"title\\\":{\\\"standoff\\\":15},\\\"zerolinecolor\\\":\\\"#EBF0F8\\\",\\\"zerolinewidth\\\":2}}},\\\"title\\\":{\\\"text\\\":\\\"Precision and recall by method\\\"},\\\"xaxis\\\":{\\\"range\\\":[0.8,1],\\\"title\\\":{\\\"text\\\":\\\"Recall\\\"}},\\\"yaxis\\\":{\\\"range\\\":[0.8,1],\\\"title\\\":{\\\"text\\\":\\\"Precision\\\"}}}}'\"\n            ]\n          },\n          \"execution_count\": null,\n          \"metadata\": {},\n          \"output_type\": \"execute_result\"\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"markdown\",\n      \"metadata\": {\n        \"id\": \"0q_aYzUWxMIL\"\n      },\n      \"source\": [\n        \"## Examine effect of number of training examples on performance\\n\",\n        \"\\n\"\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"2IwNqpUVxMIM\"\n      },\n      \"source\": [\n        \"def resample_with_replacement(df):\\n\",\n        \"    indices = np.random.randint(0, df.shape[0], df.shape[0])\\n\",\n        \"    return df.iloc[indices, :]\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def bootstrap(df, n=100):\\n\",\n        \"    resampled_results = []\\n\",\n        \"    for x in tqdm.tqdm(range(n), position=0):\\n\",\n        \"        resampled = resample_with_replacement(df)\\n\",\n        \"        data = colab_evaluation.stats_by_group(resampled.groupby('count_cut'))\\n\",\n        \"        resampled_results.append(data)\\n\",\n        \"    return pd.concat(resampled_results)\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"T5okaIZSxMIM\"\n      },\n      \"source\": [\n        \"train_counts = train_ground_truth.groupby(\\n\",\n        \"    \\\"label\\\", as_index=False).count().rename(columns={\\\"train_seq_id\\\": \\\"count\\\"})\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"t1FeqUo1xMIM\",\n        \"outputId\": \"c76fec25-1455-4b34-edb7-c60994341a44\"\n      },\n      \"source\": [\n        \"both = colab_evaluation.assign_tp_fp_fn(predictions_df, ground_truth_df,\\n\",\n        \"                                        0.625205)\\n\",\n        \"both = both.merge(train_counts, left_on=\\\"label\\\", right_on=\\\"label\\\", how=\\\"outer\\\")\\n\",\n        \"both.fillna(0)\\n\",\n        \"both['count_cut'] = pd.cut(both['count'],\\n\",\n        \"                           bins=(0, 5, 10, 20, 40, 100, 1000, 500000))\\n\",\n        \"bootstrapped_data = bootstrap(both, n=5)\\n\",\n        \"bootstrapped_data['count_cut_str'] = bootstrapped_data['count_cut'].astype(str)\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 5/5 [00:30<00:00,  6.07s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"qgWT8a_e_RO0\"\n      },\n      \"source\": [\n        \"bootstrapped_data['type'] = \\\"CNN\\\"\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"VD9BtlLoT4bq\",\n        \"outputId\": \"b26ad2a2-aa37-4d30-9150-50ea9564f004\"\n      },\n      \"source\": [\n        \"both = colab_evaluation.assign_tp_fp_fn(blast_df, ground_truth_df, 60.5)\\n\",\n        \"both = both.merge(train_counts, left_on=\\\"label\\\", right_on=\\\"label\\\", how=\\\"outer\\\")\\n\",\n        \"both.fillna(0)\\n\",\n        \"both['count_cut'] = pd.cut(both['count'],\\n\",\n        \"                           bins=(0, 5, 10, 20, 40, 100, 1000, 500000))\\n\",\n        \"\\n\",\n        \"bootstrapped_data_blast = bootstrap(both, n=100)\\n\",\n        \"bootstrapped_data_blast['type'] = \\\"BLAST\\\"\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 100/100 [13:28<00:00,  7.99s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"background_save\": true\n        },\n        \"id\": \"mkhFKt53Z10D\",\n        \"outputId\": \"15d4a0cb-7397-4464-e46f-edf51323071b\"\n      },\n      \"source\": [\n        \"both = colab_evaluation.assign_tp_fp_fn(ens_predictions_df, ground_truth_df,\\n\",\n        \"                                        0.25)\\n\",\n        \"both = both.merge(train_counts, left_on=\\\"label\\\", right_on=\\\"label\\\", how=\\\"outer\\\")\\n\",\n        \"both.fillna(0)\\n\",\n        \"both['count_cut'] = pd.cut(both['count'],\\n\",\n        \"                           bins=(0, 5, 10, 20, 40, 100, 1000, 500000))\\n\",\n        \"\\n\",\n        \"bootstrapped_data_ens = bootstrap(both, n=100)\\n\",\n        \"bootstrapped_data_ens['type'] = \\\"Ensembled CNNs\\\"\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"name\": \"stderr\",\n          \"output_type\": \"stream\",\n          \"text\": [\n            \"100%|██████████| 100/100 [21:19<00:00, 12.79s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"xLuIUP6ZKsHc\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\"\n        },\n        \"outputId\": \"933b201d-420c-4b8a-9fb9-a45145ac6854\"\n      },\n      \"source\": [\n        \"both = colab_evaluation.assign_tp_fp_fn(blast_and_cnn_ensemble,\\n\",\n        \"                                        ground_truth_df, 0.17)\\n\",\n        \"both = both.merge(train_counts, left_on=\\\"label\\\", right_on=\\\"label\\\", how=\\\"outer\\\")\\n\",\n        \"both.fillna(0)\\n\",\n        \"both['count_cut'] = pd.cut(both['count'],\\n\",\n        \"                           bins=(0, 5, 10, 20, 40, 100, 1000, 500000))\\n\",\n        \"\\n\",\n        \"bootstrapped_data_combo = bootstrap(both, n=100)\\n\",\n        \"bootstrapped_data_combo['type'] = \\\"Ensembled CNNs with BLAST\\\"\\n\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"output_type\": \"stream\",\n          \"name\": \"stderr\",\n          \"text\": [\n            \"100%|██████████| 100/100 [35:02<00:00, 21.01s/it]\\n\"\n          ]\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"dIYzGXMzKBlt\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 542\n        },\n        \"outputId\": \"9d4134d1-c662-4ba4-de2a-4ab235e0c218\"\n      },\n      \"source\": [\n        \"bootstrapped_merge = pd.concat([\\n\",\n        \"    bootstrapped_data_blast, bootstrapped_data, bootstrapped_data_ens,\\n\",\n        \"    bootstrapped_data_combo\\n\",\n        \"],\\n\",\n        \"                               ignore_index=True)\\n\",\n        \"\\n\",\n        \"bootstrapped_merge['count_cut_str'] = bootstrapped_merge['count_cut'].astype(\\n\",\n        \"    str)\\n\",\n        \"fig = px.box(bootstrapped_merge,\\n\",\n        \"             width=700,\\n\",\n        \"             color=\\\"type\\\",\\n\",\n        \"             x=\\\"count_cut_str\\\",\\n\",\n        \"             y=\\\"f1\\\",\\n\",\n        \"             labels={\\n\",\n        \"                 \\\"count_cut_str\\\": \\\"Number of training examples per label\\\",\\n\",\n        \"                 \\\"f1\\\": \\\"F1\\\"\\n\",\n        \"             },\\n\",\n        \"             template=\\\"simple_white\\\")\\n\",\n        \"fig.show()\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"output_type\": \"display_data\",\n          \"data\": {\n            \"text/html\": [\n              \"<html>\\n\",\n              \"<head><meta charset=\\\"utf-8\\\" /></head>\\n\",\n              \"<body>\\n\",\n              \"    <div>            <script src=\\\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\\\"></script><script type=\\\"text/javascript\\\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \\\"STIX-Web\\\"}});}</script>                <script type=\\\"text/javascript\\\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\\n\",\n              \"        <script src=\\\"https://cdn.plot.ly/plotly-latest.min.js\\\"></script>                <div id=\\\"d9fce14e-21e0-429c-9f48-3b47b535beb9\\\" class=\\\"plotly-graph-div\\\" style=\\\"height:525px; width:700px;\\\"></div>            <script type=\\\"text/javascript\\\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\\\"d9fce14e-21e0-429c-9f48-3b47b535beb9\\\")) {                    Plotly.newPlot(                        \\\"d9fce14e-21e0-429c-9f48-3b47b535beb9\\\",                        [{\\\"alignmentgroup\\\": \\\"True\\\", \\\"hovertemplate\\\": \\\"type=BLAST<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"BLAST\\\", \\\"marker\\\": {\\\"color\\\": \\\"#1F77B4\\\"}, \\\"name\\\": \\\"BLAST\\\", \\\"notched\\\": false, \\\"offsetgroup\\\": \\\"BLAST\\\", \\\"orientation\\\": \\\"v\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"box\\\", \\\"x\\\": [\\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\"], \\\"x0\\\": \\\" \\\", \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.5296356715106547, 0.5820066641485113, 0.6216790647747528, 0.6474027688210372, 0.6656647128067823, 0.7681516784099046, 0.9201874481485249, 0.5299310344327913, 0.5789925235437149, 0.6221579707741044, 0.6463194339407617, 0.6620649985120426, 0.769151138666392, 0.9202052342175667, 0.5309636211663653, 0.5813200497633159, 0.6173662873830918, 0.6453863465367086, 0.6645477018823542, 0.7693878963632734, 0.9202635359866924, 0.5340014315892724, 0.5802064358941912, 0.6201859229248782, 0.639371506219929, 0.6666888054493404, 0.7692368575465844, 0.9198442465753587, 0.5316421895361276, 0.5753664953767329, 0.6189282568432686, 0.6516777508569814, 0.666466155312899, 0.7691067644283011, 0.919946625653329, 0.5193229900769634, 0.5716367168029535, 0.6293660638007255, 0.6508262944781843, 0.6677003617433465, 0.7688877378118387, 0.9198047009314768, 0.5277852348493635, 0.5919041212660091, 0.6234736771369777, 0.6441599046623693, 0.6703860522539222, 0.7701021433062702, 0.9200612938872654, 0.5265633646429205, 0.5801970193994699, 0.6271995812936985, 0.6497173025299355, 0.6668791838837573, 0.7703255034709877, 0.9200100384195866, 0.5396997158975437, 0.5858180906541876, 0.6340704233986119, 0.6428814134737063, 0.6662526643900513, 0.7702583508993266, 0.919982615299355, 0.5313098167397701, 0.5702385459554374, 0.6243979678856769, 0.6519753971048935, 0.6641625117409288, 0.7692854954393056, 0.9201573729005322, 0.5266795686533695, 0.5641925776833452, 0.6198673721786059, 0.6431820744641791, 0.6613363401342205, 0.7700204226758525, 0.9199226457784001, 0.5363485016148322, 0.5828041035162819, 0.6235519957136327, 0.6452831613842178, 0.6662388759864623, 0.7708756379162507, 0.92028209159349, 0.5212824764563875, 0.5847258323551198, 0.6267365661362188, 0.646510059520728, 0.6662410751285367, 0.7691594522588319, 0.9201440605015297, 0.5264033263533917, 0.5761112490189194, 0.608238503976177, 0.6467316775365729, 0.6635801949028367, 0.7695925304130927, 0.9203936410901936, 0.5186807170706107, 0.5797101448776125, 0.62765467810116, 0.6488687782306397, 0.6688174585247859, 0.7703438928941942, 0.9202528669344275, 0.5311260089799759, 0.5795026374783873, 0.627693535464853, 0.6465079543673207, 0.6660553517339786, 0.7696988285078937, 0.919877284414754, 0.5268386918225177, 0.5814269815254735, 0.6210720886746675, 0.6512114084691469, 0.6672859941396272, 0.7712279752110127, 0.9199788281918696, 0.5286415711448136, 0.5732980998620716, 0.6248493773767645, 0.6479211186843881, 0.6648547988830726, 0.7704850259115967, 0.9199544172230014, 0.5364548494483422, 0.5796568626952395, 0.6276039943948742, 0.6502746731836718, 0.665475613982205, 0.7697499183694495, 0.9200516554523624, 0.5178672716460102, 0.570706432402995, 0.6294529053687208, 0.6463368721735808, 0.6635871403899879, 0.7691733817674977, 0.9201517145164633, 0.5362024630708679, 0.57022017658896, 0.6108183818616468, 0.6465302423422788, 0.6666217898595214, 0.7690462558480089, 0.9200399762619949, 0.5339089262834089, 0.5834050399009131, 0.6280519480020361, 0.6482052825146095, 0.6682937429499994, 0.7706076748045289, 0.9200677152319041, 0.521640091066234, 0.5792705852364612, 0.6165453341658437, 0.6494849250472639, 0.6702514363706346, 0.7704423203890282, 0.9198849381031364, 0.5442489850650354, 0.5787742170818488, 0.6268227293033687, 0.6484528301387608, 0.6639468626224346, 0.7697824515559372, 0.9200130792506612, 0.5236074996078866, 0.5747409964967364, 0.6284174552602916, 0.6443906863728425, 0.6646196647393661, 0.7688333710766356, 0.9200668667086777, 0.5272528074000294, 0.5633423180094552, 0.6151293961013461, 0.6468711287462203, 0.6650964821761203, 0.7686997852239128, 0.9204209985956565, 0.5166384658270688, 0.5749662865750867, 0.620434160875585, 0.6400270401724137, 0.6651266313195575, 0.7703957552528206, 0.9201540806610149, 0.5255434029681907, 0.5770294043230839, 0.628586680852252, 0.6438681049152906, 0.6688161514718587, 0.7696573100929669, 0.9201648898451694, 0.5392519522722767, 0.5775644264281464, 0.6148451970921681, 0.6471428570929411, 0.6654346291627985, 0.769743005331174, 0.9200220296946384, 0.5386301369363148, 0.5752876437720637, 0.6279439004528828, 0.6514785756893638, 0.6652014897329646, 0.7706869507851809, 0.9201544051279327, 0.5311439814943469, 0.5817774458051932, 0.6151449471188702, 0.6465901013304911, 0.6659288324952569, 0.7701328315735149, 0.919868573552731, 0.5286501376910769, 0.587123598286971, 0.6215611425063516, 0.6499795439676718, 0.6677405822136597, 0.769131668313141, 0.919849451816955, 0.5121174352083105, 0.576250155056209, 0.615719947109915, 0.6502877378872276, 0.6648133708013463, 0.7706203571104621, 0.9199711135131692, 0.5360593753876274, 0.5711794743554564, 0.6211939901109684, 0.6433524039966566, 0.6641295275748271, 0.7697080012046728, 0.9201419596366235, 0.5312066573702755, 0.5890510948406358, 0.6143153110508114, 0.6481530193781228, 0.6658939729393569, 0.7699984498256541, 0.9199562581165442, 0.5358581788380269, 0.5821968757249685, 0.6310125335808896, 0.6492712030314435, 0.6683744838128759, 0.7684449404446373, 0.9201256801048543, 0.5238420548755552, 0.5684078036002143, 0.6103705677986626, 0.6503168094916271, 0.6638573634581993, 0.7697335207701832, 0.9200441623281481, 0.5297076817991119, 0.5747822793897185, 0.6248111905982704, 0.6408605408182263, 0.6643990929205711, 0.7700195155390672, 0.9200565757930659, 0.5339975763604244, 0.5734740014572598, 0.6289415150619415, 0.648342520526988, 0.668083895432238, 0.770100954311174, 0.9201767501183998, 0.5365256427197145, 0.5678735846210214, 0.626518894328528, 0.6479933739430135, 0.6634449078755829, 0.7693206986374027, 0.920072338031669, 0.5259964142376987, 0.584859584809738, 0.6216088858470958, 0.6426704049817189, 0.6626915950317578, 0.7677188655480639, 0.920306524009664, 0.5470803413671648, 0.5760909877112617, 0.6214387927171131, 0.6511416562036463, 0.6663409209118061, 0.7700459114145907, 0.9199771397989249, 0.5251457231437282, 0.5679697351329661, 0.6214937703544898, 0.6485978497358139, 0.6656138169222293, 0.7688025723227144, 0.919947105404296, 0.520967511042073, 0.5802982155452874, 0.6193136471966965, 0.6503904768627174, 0.6655970585278138, 0.7695344636679503, 0.919948118228666, 0.5356193513588406, 0.5768894440476042, 0.6160570198532503, 0.6422152238536342, 0.664018257071182, 0.7694959345877159, 0.9200531266337422, 0.5339578453832965, 0.5741543798286816, 0.6238811906946377, 0.6496355848926177, 0.6644244513079968, 0.7699433306458666, 0.9199485551102382, 0.52594571785187, 0.5696586598742531, 0.6278946671460974, 0.6436965202010647, 0.6646339408550195, 0.7685284137139278, 0.9200518215770539, 0.5286213382999325, 0.5902777777278942, 0.6229444008897893, 0.6468116749826234, 0.6657562422578138, 0.7697052707835746, 0.9199612705558299, 0.5139942092427428, 0.5864205028045417, 0.6229311264850486, 0.6468142997006717, 0.664305684945402, 0.7699373921653245, 0.9199138095396808, 0.5493785001549538, 0.5866998134988881, 0.6217376940366413, 0.6455922967329479, 0.6635690579025746, 0.7694216792067685, 0.920026670431006, 0.5363836824197011, 0.5861258809937738, 0.6225549709470107, 0.6444326536300745, 0.6635123571252717, 0.7676603178098467, 0.920194267444501, 0.5258501520097435, 0.5862449429438948, 0.6285977131844004, 0.6515820180516577, 0.6660853817536098, 0.7703383160423177, 0.9201525481639218, 0.5304795447888151, 0.5726538849147881, 0.620356906757716, 0.6489149647851534, 0.6664195949771662, 0.7687152106736544, 0.9201759853848225, 0.5337655320948261, 0.5848665772621345, 0.6281374693798634, 0.645380691429396, 0.662860013345906, 0.7689394406486351, 0.9200088455419394, 0.527526038094211, 0.5864587200887325, 0.6263377707671156, 0.6444884685330754, 0.6651823827278912, 0.7689534241757404, 0.9201145216157005, 0.532714001277172, 0.5928491896074174, 0.623183597587947, 0.6463506395287554, 0.6705640071247048, 0.7708689986272832, 0.9200851918189624, 0.5327812283834181, 0.575964281235005, 0.6209282589748298, 0.6476412785164305, 0.6661940449166168, 0.7695794671532205, 0.9200013538266938, 0.5407725321388813, 0.5745560690330268, 0.6208141166534974, 0.6404447637638635, 0.6665320748503757, 0.7706096186739326, 0.9199025625377929, 0.529770785247736, 0.5661304187147187, 0.6172040168633811, 0.6432338757789311, 0.6622103986569479, 0.7699789052459125, 0.9201560504962422, 0.5284227381405835, 0.5784361339957428, 0.6301174332855729, 0.6512085334447988, 0.6697638273650101, 0.7689673881574627, 0.9203833368656211, 0.5330733880575212, 0.573478475952134, 0.6279472491841274, 0.6483561592216404, 0.665008654103219, 0.7692945914146114, 0.9200133458579053, 0.5364712358432239, 0.578628783149589, 0.6218862963680895, 0.6502463053688191, 0.6638314971204641, 0.7697224093055459, 0.9198981775570125, 0.5217272478319958, 0.5943082419114735, 0.6216768915656115, 0.648266526234215, 0.668592998346635, 0.7695374051712073, 0.9200925292993213, 0.5251184833623437, 0.583932556359755, 0.6174163705339529, 0.6435455717798019, 0.6653707678545869, 0.7699843889822788, 0.9201398327270666, 0.535254190281091, 0.5672919551307547, 0.6285116947103118, 0.6463738814132773, 0.663366504434085, 0.7706988298472323, 0.9199508728044715, 0.5348159914776979, 0.582781456903806, 0.6277606745585654, 0.6413205455922106, 0.6703712381919342, 0.769204594159437, 0.9200140834778789, 0.51973318505285, 0.5767582555588526, 0.6227825069355991, 0.6463142781077956, 0.6646303599399934, 0.7690283270372885, 0.9202616271596963, 0.5288409703004228, 0.5668301269462426, 0.6190571447123696, 0.6450629050206305, 0.6661692132388375, 0.7689468970818856, 0.9202844173309827, 0.527197802147876, 0.5729000612621764, 0.6249752360327545, 0.6472642607184287, 0.6664540066320427, 0.7688730306573146, 0.9200889760721399, 0.5357812918288758, 0.5751188009735951, 0.6249750515101908, 0.6528922537075663, 0.6705595287678846, 0.76912801479234, 0.9201173802497986, 0.5391304347326227, 0.5644234452316759, 0.6229377856785993, 0.6485664477821503, 0.6679642928555979, 0.7692785241839942, 0.9198624735187885, 0.5285694424636308, 0.5685618728598356, 0.6206393420378901, 0.6493516255843667, 0.667326334099582, 0.7706464659949929, 0.9198444207493561, 0.5354759634526693, 0.5758058585111775, 0.6203334422514941, 0.6495276093903871, 0.6670825254495104, 0.7698351244081347, 0.9200173545797512, 0.5295782239090606, 0.5823660162504055, 0.6240222722555308, 0.6418844592301431, 0.6643771043271716, 0.7699387859962065, 0.9201030742402657, 0.5256303684731541, 0.5776055985504793, 0.6291915778029348, 0.6446438074464711, 0.6646184671399078, 0.7687033048932661, 0.9199767447306972, 0.5314158055909137, 0.5916185325788459, 0.6256684491479287, 0.6491882321420691, 0.6672923195022678, 0.7705940995697225, 0.9200756532151373, 0.537976418924534, 0.5825410544012689, 0.6230965295886477, 0.6430046947857778, 0.6661273195637456, 0.7692524563554871, 0.9199679333202783, 0.5291881617746158, 0.5724381624943261, 0.6233509234329425, 0.6468579234473694, 0.6645098564607052, 0.769519025937648, 0.9201460414237876, 0.523637374810972, 0.5834067732095887, 0.6305938179162165, 0.6456338027669914, 0.6700170300365372, 0.76913636224216, 0.9201391684065853, 0.5323225361319571, 0.5711038140445734, 0.6190669370697672, 0.6454240355471987, 0.6641067712679473, 0.7699414904644047, 0.9202694027236437, 0.5297651556026821, 0.5751051719372612, 0.6187078614412337, 0.6500433160825372, 0.6701486270388093, 0.771105664103289, 0.9202748842877878, 0.5390646120073264, 0.5770859277210172, 0.625344714329591, 0.647167204003508, 0.664170584234821, 0.7687183841763039, 0.919975769416343, 0.5323955092155545, 0.5816473987940421, 0.6248831931152053, 0.6434932921976498, 0.6668342803007198, 0.7692572484649232, 0.919907398010474, 0.5361107303871947, 0.5745507527427323, 0.624974783085067, 0.651584732314783, 0.6638284983009942, 0.7701591915200483, 0.9199899702691421, 0.5240905970673826, 0.5695445108793725, 0.6272654583722489, 0.6430028873418364, 0.6703785446263598, 0.7703459213777925, 0.9197960989844094, 0.5257931033983092, 0.5712872510939471, 0.6188689358922131, 0.6518735450428186, 0.6607763760775777, 0.7696509458599744, 0.920216820442218, 0.5308252093417506, 0.577783269442241, 0.6275306295772933, 0.646106457258234, 0.6672379895654211, 0.7697006117305022, 0.9200351546555973, 0.5404019964426701, 0.5716740303870219, 0.6152211448564604, 0.6481099913335875, 0.6645061624244454, 0.7711416372524519, 0.9197450023449755, 0.5370850976142786, 0.5825123152210571, 0.6158495634155083, 0.6493933171052091, 0.6687430176554509, 0.7711772230029519, 0.9202764969225211, 0.5335861321277033, 0.579605996728734, 0.6269129287099623, 0.6463608192381669, 0.6677921903753028, 0.7686102015358979, 0.920103868979398, 0.5248564626303416, 0.5878891884767633, 0.6315301595209997, 0.6425940691303261, 0.6652233745682533, 0.7686397773089327, 0.9199663397182811, 0.5300353356390691, 0.5745690731452233, 0.6203543359031907, 0.6373056994320131, 0.6654695149342187, 0.7696774831316737, 0.9199210309225707, 0.5242585758691267, 0.5688788335347785, 0.6239978620559222, 0.6473923327702521, 0.6640890450584372, 0.769536253479936, 0.9199605896694765, 0.533693450321389, 0.5791154790655757, 0.6244435450735071, 0.6468956208259095, 0.6657094108999371, 0.7691512896387024, 0.9201672620120518, 0.5370165745356696, 0.5795553346911169, 0.6292695743063585, 0.6503588471300525, 0.6684734121742052, 0.7692809972046151, 0.9200957918525138, 0.5250583550235106, 0.5805173907162835, 0.6302959196476303, 0.6453756133891455, 0.6703577798968812, 0.7697930374536706, 0.920096436483351, 0.5330402527320123, 0.5923423422924278, 0.6303006432479646, 0.6453327344361912, 0.6642773823313277, 0.7703824622925998, 0.9200153928179713, 0.5297193175064345, 0.5734282907163714, 0.6290932810981398, 0.6415194479749496, 0.6645590793023838, 0.7702879854290146, 0.9201104127688692, 0.5322906835148209, 0.5868173257505709, 0.625431792950152, 0.6444292652810029, 0.6643548522352213, 0.7704503454871667, 0.9198915681950375, 0.5318238298547538, 0.5658944169649206, 0.6184227791129205, 0.6442583370558618, 0.6680680040531726, 0.7696860117665839, 0.9201036901240469], \\\"y0\\\": \\\" \\\", \\\"yaxis\\\": \\\"y\\\"}, {\\\"alignmentgroup\\\": \\\"True\\\", \\\"hovertemplate\\\": \\\"type=CNN<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"CNN\\\", \\\"marker\\\": {\\\"color\\\": \\\"#FF7F0E\\\"}, \\\"name\\\": \\\"CNN\\\", \\\"notched\\\": false, \\\"offsetgroup\\\": \\\"CNN\\\", \\\"orientation\\\": \\\"v\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"box\\\", \\\"x\\\": [\\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\"], \\\"x0\\\": \\\" \\\", \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.43990843185356626, 0.5433887699182507, 0.5651951593187671, 0.602381288483113, 0.6137865126039105, 0.7377463221446302, 0.902773295377368, 0.4484545977677876, 0.5405937345766795, 0.5688350982885877, 0.6044790104466556, 0.6135611450783995, 0.7376694898024112, 0.9029147106458656, 0.4279510461482446, 0.5639703512254912, 0.5624574540031798, 0.595139974372868, 0.6123146141827212, 0.7375428936081884, 0.9030041619565854, 0.43179662298854044, 0.5441057893418312, 0.5727073129067316, 0.5995375831162736, 0.618157187086124, 0.7380917966319211, 0.9030793669802308, 0.41697062771730026, 0.5607799968075117, 0.5796427087187872, 0.6084385412762817, 0.6115349530988905, 0.7380112914434902, 0.9027507892762588], \\\"y0\\\": \\\" \\\", \\\"yaxis\\\": \\\"y\\\"}, {\\\"alignmentgroup\\\": \\\"True\\\", \\\"hovertemplate\\\": \\\"type=Ensembled CNNs<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ensembled CNNs\\\", \\\"marker\\\": {\\\"color\\\": \\\"#2CA02C\\\"}, \\\"name\\\": \\\"Ensembled CNNs\\\", \\\"notched\\\": false, \\\"offsetgroup\\\": \\\"Ensembled CNNs\\\", \\\"orientation\\\": \\\"v\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"box\\\", \\\"x\\\": [\\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\"], \\\"x0\\\": \\\" \\\", \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.5237776288870919, 0.6061971830490165, 0.6365194069385102, 0.6464698111906411, 0.6738292827007184, 0.7740437136289434, 0.9125378115349828, 0.5466321243038191, 0.6131647656504654, 0.6323174411092664, 0.6510480887295574, 0.6662213810775991, 0.7742778755749234, 0.912817843554427, 0.5315692513335518, 0.6071478625993857, 0.6210765731119537, 0.6493179432871591, 0.6666293162518359, 0.7738117860188015, 0.9131579504725468, 0.5215206832544457, 0.6146519119828867, 0.6271671942818622, 0.6584393232932517, 0.6734652328721205, 0.7730751924900456, 0.9123820448028186, 0.5192663637414312, 0.6105815719907425, 0.6234239707844962, 0.6528488496600309, 0.6652804315564402, 0.7733448247102443, 0.9127360460194855, 0.4920553561796493, 0.6073734040531066, 0.6183560185041819, 0.6555918124688425, 0.668655380664688, 0.7744257816756859, 0.912867081102039, 0.5325305234509932, 0.6192038806752037, 0.6198503287734947, 0.6527239425323962, 0.6640503821147066, 0.7740100843050115, 0.9127159661716137, 0.5101731965216607, 0.6145891559033811, 0.6286881524697082, 0.6521068858701137, 0.6706359542538277, 0.7726719511825193, 0.9127535729056103, 0.5337331333850238, 0.6009206304427558, 0.6292202876113323, 0.6504291935737203, 0.6723035753609952, 0.7749686182294522, 0.9127348996343307, 0.5322473403773873, 0.607533064930242, 0.6211114466433295, 0.6550918196498086, 0.6716825255827983, 0.7740203177191575, 0.9127785037135031, 0.5354881705614613, 0.6031339030842724, 0.6244316910885986, 0.6527877887991256, 0.6715599078275245, 0.7734070409742436, 0.9126017802287143, 0.5246111912300891, 0.6143973213788984, 0.6229807984875522, 0.6606114124224395, 0.673578199002373, 0.7746864532020477, 0.9125974767186108, 0.528512736188502, 0.6023924807250771, 0.6186043047096864, 0.6452368993308338, 0.6682361803815617, 0.7751281455826001, 0.9126494604389945, 0.5244444443964601, 0.6030567061352229, 0.6275846398049828, 0.6508790509987729, 0.6655273618405577, 0.7746447231949911, 0.9125819440527725, 0.5252156602040177, 0.6191135733575422, 0.6220628623245875, 0.6526280464287819, 0.6710309740637079, 0.7734640349216189, 0.9126363772998699, 0.5322422258110584, 0.6134706134209962, 0.6304855099240781, 0.6571464677879937, 0.6713555463851012, 0.7745055685593638, 0.9125721993066929, 0.5266832917224138, 0.6110478359413043, 0.63283672384064, 0.6521739129937528, 0.6662020905426259, 0.7735687552669795, 0.9126290066583175, 0.5200866810654011, 0.6074156366676515, 0.6314283562490624, 0.6541215653124677, 0.6719522046583917, 0.7735691348447379, 0.9125388255155452, 0.523952095760411, 0.6012393716177232, 0.6406828309799305, 0.6528506246571084, 0.6674553545781926, 0.7734621003440961, 0.9128771229699165, 0.5348761407599605, 0.6003662487178664, 0.627385640665344, 0.6534193983386622, 0.6664152650531927, 0.7736055665209051, 0.9127331638380789, 0.5347035039949607, 0.6086339107710819, 0.629022645957515, 0.6545850248529839, 0.670315868354072, 0.7720904299305823, 0.912710164883514, 0.527949274104919, 0.6097898229593155, 0.6283066805662227, 0.6489060488563546, 0.671789037827223, 0.7739801601397608, 0.9126024467434493, 0.5187957688698286, 0.5975034673566907, 0.6284706242793154, 0.6577067748118093, 0.6690098713233013, 0.773254362384029, 0.9126003680668991, 0.536617842827943, 0.6053704484250487, 0.6215635078601389, 0.6585529066838699, 0.6694443927257426, 0.7736785943950679, 0.9126323341753337, 0.5183041034765011, 0.614413177713002, 0.6254400734236402, 0.6526455795670165, 0.668672141686919, 0.7742920415531505, 0.91269275716401, 0.531967619314067, 0.6034084343813151, 0.6257943924738302, 0.6493354018538823, 0.6698965805894306, 0.7735770624383461, 0.912734813607404, 0.5311688311206625, 0.6026176551997533, 0.6258917954319702, 0.653575491922781, 0.6720588784200089, 0.7734158597044661, 0.9128235983634669, 0.5243781094045706, 0.5944086021010955, 0.630260444462819, 0.6494236008725367, 0.6699027299083035, 0.7744628365539592, 0.9129259319079782, 0.5059342149400624, 0.611450805953662, 0.6249617151113799, 0.6560963201130926, 0.6706953092837076, 0.7728100086138858, 0.9125839629337165, 0.5334672020935983, 0.6165163080696928, 0.6368832731152309, 0.6491844947606425, 0.6647504572275008, 0.7744199814192408, 0.9126629279662892, 0.5246934039955526, 0.6071681540798609, 0.6177507689504474, 0.6553653582625093, 0.674263479661208, 0.7724614046320196, 0.912697216668594, 0.5244207367410506, 0.6033010813389619, 0.6237113401566203, 0.6566340606475168, 0.6706238100074104, 0.7719630919975174, 0.912800682542489, 0.5240802675102919, 0.6116504853872252, 0.6228410560259776, 0.6568705654651675, 0.6688997005490422, 0.7711507516640854, 0.9129814995465203, 0.5238645746837428, 0.6164784608452974, 0.6123565619992946, 0.6582086406246935, 0.6683325003667319, 0.7728378184556065, 0.9127258129123295, 0.5110399460161553, 0.618979357748571, 0.6296049217503248, 0.6523017472621173, 0.6666169311474935, 0.7742435008993692, 0.9125530289456977, 0.52411735450162, 0.631070640126909, 0.6310679611155383, 0.6629505447951957, 0.6710492010378156, 0.7729733451488443, 0.9124633716107924, 0.5040187541382377, 0.6017118401786999, 0.6351138155917225, 0.6508399982576513, 0.6647542980922712, 0.7746256269884609, 0.9125988002342568, 0.5261181290063642, 0.5996568486779931, 0.6311976454111309, 0.6540332047129718, 0.6703004419971349, 0.7737321610102348, 0.9128939542475444, 0.5130260520560881, 0.6071780435816435, 0.628197411927567, 0.6536997531606367, 0.6658359679621778, 0.7738863757029308, 0.9126956792790376, 0.5140522875335115, 0.6053010659256413, 0.6287479282313423, 0.6574731973435896, 0.6704311924409588, 0.7741935483371952, 0.9126149511918751, 0.5196643079987022, 0.6140277193960071, 0.6270278427030822, 0.6565334228592312, 0.6701670110657213, 0.7738859034117309, 0.9129121260006136, 0.5141430947937579, 0.620056497125624, 0.6269835356727259, 0.6514057588901988, 0.6688841963138019, 0.7735178901535905, 0.9126047028355448, 0.5262297760590788, 0.6089283199053368, 0.6206632457189571, 0.6503171246859488, 0.6733411636991616, 0.7734830021120378, 0.9125194208232421, 0.5218996475439931, 0.5885431811076088, 0.6304218656663954, 0.6519256986551434, 0.6689726994964977, 0.7729188130690413, 0.9123333929224582, 0.5272396091584459, 0.6028161159408219, 0.6200561754609649, 0.6549557635096334, 0.6691157176096864, 0.7744371845366088, 0.9125251569847995, 0.525043177844536, 0.6103429203043822, 0.6227571769839707, 0.6569777181610351, 0.6632079549870189, 0.7742514605951833, 0.9129014976844276, 0.5217245988825484, 0.6032999576431524, 0.6300119688313909, 0.6521114864367829, 0.6664669761371572, 0.7726225592239284, 0.9127938555216594, 0.5258434435283406, 0.5945313641849351, 0.6272863567720423, 0.6550306284641771, 0.6697413199435753, 0.7738171223761047, 0.9123934196447134, 0.5286418493485299, 0.6033582615561135, 0.6244474927107345, 0.6505264054743788, 0.6725785717780369, 0.7747876101025932, 0.9127355676216222, 0.5244790783866311, 0.6129258376062658, 0.6267935356702051, 0.6625204857258299, 0.6654297386961179, 0.7714247789460891, 0.912606420182466, 0.536729663058007, 0.6092307691812787, 0.6262154216735721, 0.647136582612, 0.6706449735846365, 0.7726779197306115, 0.9127620852124293, 0.5217680291974319, 0.6100727635400591, 0.6240982347931396, 0.6543372215833991, 0.6695069766944198, 0.7727837361603928, 0.9124915232564479, 0.5177698075814967, 0.6160764473927083, 0.6197721537849022, 0.6527653404475343, 0.6699697525899523, 0.7739711724262353, 0.9129240059780294, 0.5311679789545453, 0.6008207159544269, 0.6286866272930961, 0.6489605430135337, 0.6696410463911615, 0.7735384371743455, 0.9127656356946665, 0.5270564583201827, 0.609313998834993, 0.6336079824132603, 0.6481685136123402, 0.6709433402053956, 0.7736624641941883, 0.9126399508361309, 0.5253216088103567, 0.6109101029284227, 0.6286361918658225, 0.6512682680503851, 0.6695038096510656, 0.774053979759178, 0.9126705165724462, 0.5302279484154738, 0.6143296948846041, 0.6177986658085562, 0.6476695005270549, 0.6663012040862676, 0.7740564428873277, 0.9125403286715884, 0.5205930806767246, 0.6085710190131108, 0.6223432417627405, 0.6546288821358006, 0.6671034895414164, 0.7740873325827407, 0.9127382136986332, 0.5339067151353545, 0.613533408783901, 0.6290909090414072, 0.6556645475863759, 0.6705880155609932, 0.7728800272798053, 0.9125788858863435, 0.5275154672262777, 0.6104757870462247, 0.6247446083499798, 0.653316016540838, 0.668820797100949, 0.7738752259372246, 0.9127525493754525, 0.5221253495158378, 0.6062473735321089, 0.6174847082900125, 0.6620672247199595, 0.6679038032080882, 0.7733682550834122, 0.9125764102196849, 0.5308560052605307, 0.6160209567958641, 0.6326746115057164, 0.6536373506560179, 0.6711384104714154, 0.7734705708998749, 0.912795771790456, 0.5306788511270173, 0.6162725224728665, 0.6237160120350436, 0.652715367776772, 0.6656477736069113, 0.772669241192041, 0.9128339256023434, 0.5242042439834727, 0.6043391378321306, 0.6329621380350797, 0.648105964685036, 0.6681296420839586, 0.7726942054156761, 0.9126521290886552, 0.5286592456735453, 0.6119864940414861, 0.6267471167304136, 0.6506065119741125, 0.6675925925428883, 0.7733708346738418, 0.9131938189975363, 0.5170568561392146, 0.6039475579391005, 0.6284001498193181, 0.6506753013861002, 0.6711399443432292, 0.7732425586982091, 0.9126692830534602, 0.5332435616417724, 0.6097805821962053, 0.6275300619416443, 0.6600797217719524, 0.6691230104053087, 0.7743787111302639, 0.9125293038750821, 0.5172710087162383, 0.613311331083485, 0.6225823713288263, 0.6547817393704679, 0.6695844895485352, 0.7742821459446104, 0.9125445179056704, 0.5242184815733896, 0.6042347590806424, 0.628358764371762, 0.6612559092504525, 0.6696251357028276, 0.7748342100253728, 0.9126635274129768, 0.5302679457009504, 0.6050467819180413, 0.6278066261482189, 0.654539286724691, 0.6728468899024017, 0.7736319325017952, 0.9127669686847304, 0.5161180282651955, 0.5960584148093319, 0.6279442030146883, 0.6537184175733459, 0.6675036069130985, 0.7732324725867047, 0.9127884817621579, 0.5156356219777327, 0.611774743977601, 0.623762376188055, 0.6567302039976332, 0.6671568349709016, 0.7755108514971251, 0.9128918166560248, 0.5201090660728455, 0.5996855794844493, 0.6281915696738996, 0.6564859733736341, 0.6684484981653561, 0.775230688824796, 0.912961659128067, 0.5195502600624984, 0.6094885310800465, 0.6211496664423599, 0.6541049797619125, 0.6676318817485491, 0.7737800781831369, 0.9128231301813565, 0.5338912133410904, 0.6133448623224216, 0.6257033535404748, 0.6570173603351074, 0.6716526474314801, 0.7737301287751268, 0.9125716048984683, 0.5126920507201874, 0.5985815602340737, 0.6352747416782468, 0.6517436180108584, 0.6689697670881678, 0.7750538245963743, 0.9127464951439493, 0.5207396301366116, 0.6089734684877065, 0.6325457373032787, 0.6541715043457129, 0.6693345741708291, 0.7734086155037281, 0.9130220936718002, 0.5148921601711389, 0.6071774975254914, 0.6219736438364559, 0.6553991401340414, 0.6653849025112911, 0.7738011571801382, 0.9130141354625351, 0.5061665821447481, 0.6129439842267014, 0.6258879832003281, 0.6483427647036988, 0.6718254707688348, 0.7735078802259883, 0.9125447721177177, 0.5447809277869909, 0.6237441629614912, 0.6251227433601311, 0.648151997622122, 0.6694893317551688, 0.7753113872616468, 0.9125100653275571, 0.5446836268268999, 0.6068653764159645, 0.632986626993544, 0.6530577743469521, 0.6703653888765104, 0.7736091776208606, 0.912664781748668, 0.5274384998659692, 0.6114398421595592, 0.6291356568659037, 0.6514526315292394, 0.6760678368152155, 0.7731556556584572, 0.9128918289781757, 0.5203730976447564, 0.6026017624345382, 0.632603773535324, 0.6531514301003126, 0.6757491186341703, 0.7732737844922195, 0.9127416658915314, 0.5233177880932193, 0.6005971846511471, 0.6231960709742543, 0.6464311524393359, 0.6691650818013518, 0.7726551930860969, 0.9125104316895418, 0.5301603040337199, 0.6088275861572475, 0.620269749468846, 0.6538428946202217, 0.6725515702903564, 0.7739626982538954, 0.9126739634823225, 0.5314248107451678, 0.620103164595545, 0.6240789972919147, 0.6535190126253828, 0.6683010177052643, 0.7740037965194531, 0.9125472943394637, 0.5257976917372498, 0.6077502090387591, 0.6264012811217945, 0.6598498026572183, 0.6660979227989628, 0.7727241504528444, 0.9126738945559806, 0.527944111728402, 0.6203690660159292, 0.6159952073789698, 0.6516559648032759, 0.6671288575267906, 0.7733987277245551, 0.9126179836362525, 0.53242212328306, 0.6115518440700686, 0.6257076005242536, 0.6488565751711727, 0.6673836853026905, 0.7733253174361637, 0.9128139166728274, 0.5256389117408199, 0.6154058150254814, 0.6303807010435857, 0.6511568560237472, 0.668963357294494, 0.7735369766739136, 0.9127626823666423, 0.531729025829733, 0.6037204058128656, 0.6209326735146917, 0.6534358930274791, 0.6732761833270821, 0.7741993332552983, 0.9123743881395071, 0.5353619795539598, 0.6114897759971268, 0.6385408170335581, 0.6538542234406616, 0.6722189843649026, 0.7726975815016556, 0.9126692500842603, 0.5176120389797388, 0.6066083026897637, 0.6261605882293849, 0.6565677699632244, 0.6693769464098618, 0.7742321003607169, 0.9128244466665382, 0.5379150833816488, 0.6168803719384527, 0.6283314241580942, 0.6502741458802882, 0.6652371717880359, 0.7724662661824866, 0.9128121649557588, 0.5287811314049503, 0.6091399375036275, 0.6267510166698385, 0.6513808386819987, 0.6680057065128411, 0.7735988841723368, 0.912725025380605, 0.528599605474735, 0.6066390040997445, 0.6207695873403976, 0.6526342645248561, 0.6685167822491695, 0.773578802756169, 0.9125937042020177, 0.5299539170022343, 0.608285714236064, 0.621329911641883, 0.6594767661801936, 0.6687755861058574, 0.774630726549626, 0.9126648365070115, 0.5052424639098947, 0.6186511240136019, 0.630660448273056, 0.6635623793445004, 0.6692923673741641, 0.7733870090383852, 0.9127880444648786, 0.5174966352144765, 0.6118392625169996, 0.6332097849763785, 0.6472144086156213, 0.671181734561802, 0.773437438085085, 0.9125673091515665, 0.5343586386953092, 0.6080044623684164, 0.622913847492267, 0.6604398403170777, 0.6644765086393575, 0.773014813142362, 0.9129207463244714], \\\"y0\\\": \\\" \\\", \\\"yaxis\\\": \\\"y\\\"}, {\\\"alignmentgroup\\\": \\\"True\\\", \\\"hovertemplate\\\": \\\"type=Ensembled CNNs with BLAST<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\", \\\"legendgroup\\\": \\\"Ensembled CNNs with BLAST\\\", \\\"marker\\\": {\\\"color\\\": \\\"#D62728\\\"}, \\\"name\\\": \\\"Ensembled CNNs with BLAST\\\", \\\"notched\\\": false, \\\"offsetgroup\\\": \\\"Ensembled CNNs with BLAST\\\", \\\"orientation\\\": \\\"v\\\", \\\"showlegend\\\": true, \\\"type\\\": \\\"box\\\", \\\"x\\\": [\\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\", \\\"(0, 5]\\\", \\\"(5, 10]\\\", \\\"(10, 20]\\\", \\\"(20, 40]\\\", \\\"(40, 100]\\\", \\\"(100, 1000]\\\", \\\"(1000, 500000]\\\"], \\\"x0\\\": \\\" \\\", \\\"xaxis\\\": \\\"x\\\", \\\"y\\\": [0.5475341651315639, 0.6119954157146872, 0.6387529707315516, 0.6601286428468647, 0.6799894634674423, 0.7820531428144192, 0.9217913287368888, 0.5415441744823474, 0.6053467442592191, 0.6382828993166895, 0.6658770578678221, 0.6807740102464851, 0.7824910137098232, 0.9219242104574856, 0.5349376630411735, 0.6052320230866105, 0.6521173975008323, 0.6648520993776165, 0.6855681837582148, 0.7819050111710496, 0.9221546982557646, 0.5406985689609118, 0.5971550890261224, 0.6481545598835495, 0.665873676647994, 0.6787146465484896, 0.7835392161104248, 0.9217950888728413, 0.5524663676632441, 0.6024224676726309, 0.6304072142659339, 0.6601676896037969, 0.6785783922215777, 0.7821951064005889, 0.9218134114445139, 0.556595230858776, 0.6000265497973876, 0.6374468677641077, 0.6656642000212458, 0.6797607387215323, 0.7834738185962338, 0.9219792191097614, 0.5528455284055304, 0.602975296797325, 0.644227390857215, 0.658384596898165, 0.6824875214875735, 0.7832718576997404, 0.9220159065326872, 0.5533421867586242, 0.6074246539405053, 0.643590825896288, 0.6652550836462257, 0.678162960808154, 0.7829709666109129, 0.9218304402587074, 0.5498884757867587, 0.6060443250003988, 0.6399773258197945, 0.6653424439353933, 0.6795483236980842, 0.7826333103317626, 0.921843226819749, 0.553197848127291, 0.6093668236025903, 0.640084388135663, 0.6609963547495228, 0.6793093687583976, 0.7834740481812743, 0.9219682340307666, 0.5481177676374049, 0.5943990351905558, 0.6379540503961693, 0.6576536938022585, 0.6841614960918921, 0.7828306181019065, 0.9220408340548885, 0.5535928143215577, 0.6110965715281608, 0.643042229798046, 0.6587182127361917, 0.6788711985505008, 0.7831041655596207, 0.921941326355843, 0.5475228258745249, 0.6061801445917541, 0.6440061546570006, 0.6600953380771883, 0.6796863862650485, 0.7824181312202758, 0.9219294012069106, 0.5446694460491863, 0.6063324537759, 0.648698099879644, 0.6651001632380852, 0.6809475716646086, 0.7823402315510235, 0.9216912943506144, 0.5493574765858132, 0.6004538779369378, 0.6399943249837372, 0.6614842121635071, 0.6802225273258095, 0.7816139458796748, 0.9218434651413281, 0.551082647098844, 0.6064654020339111, 0.6387046151151501, 0.6717916535427411, 0.6825538779376354, 0.7836304267227145, 0.9219056932249738, 0.5558885225753694, 0.6081027926601266, 0.6435615665885205, 0.6661077843811504, 0.6816570124127133, 0.7825507858865156, 0.9219783115016845, 0.5450733752124097, 0.6005130281665748, 0.6435804829186529, 0.6617315228509263, 0.6825543729254885, 0.7825763690168691, 0.9218510345301263, 0.5476510066616954, 0.6188620420388921, 0.6358749469015251, 0.652405560179157, 0.6856732570468467, 0.7834774166911943, 0.9220112391648564, 0.5534213684976584, 0.5988263536443429, 0.6431312355601675, 0.6644990365588762, 0.6815453664905375, 0.7824599689910343, 0.9218718988480427, 0.5548948512918022, 0.6063023533604673, 0.6383727476977996, 0.6624304376498165, 0.683875530360193, 0.7826848065369598, 0.9217944037641325, 0.5617311397160976, 0.6126806404916397, 0.6393876528579686, 0.6614987079603549, 0.6746616047327898, 0.7831458408846654, 0.9220710891111592, 0.553662182311937, 0.5948677037128468, 0.6521923620433836, 0.6651491553351798, 0.6818818257691175, 0.782826154241431, 0.921570923420846, 0.5520863728710793, 0.6159807589024542, 0.6309248554413717, 0.659341547112206, 0.6810086653998637, 0.7844478119875388, 0.9218412019671377, 0.5525835865764681, 0.6067415729837617, 0.6449671006080354, 0.6660518823925808, 0.6771558459508598, 0.7833939519929242, 0.9219539634216192, 0.5528989838115226, 0.6039057238557624, 0.6428111357118814, 0.6688870385289698, 0.6804247151337556, 0.7838871683620467, 0.9217980074878872, 0.5682897861735179, 0.6091160220495012, 0.637252832263029, 0.664801790231335, 0.6779799558814927, 0.7822989938062914, 0.9220459332244455, 0.5536004731129455, 0.5978947367921315, 0.6440276130872051, 0.6631633424397668, 0.6807409232869865, 0.7827704096469953, 0.9220202295836807, 0.5410390408356028, 0.6031096562512084, 0.6371163454175716, 0.663593017249147, 0.6804977777277929, 0.7822558927191331, 0.9220344947675604, 0.5440806044842769, 0.5991236223109567, 0.6335368849082751, 0.6643157683330969, 0.6784178241056913, 0.7821751751277185, 0.9220204961840189, 0.539467749160897, 0.595453948182845, 0.6310625174717991, 0.6609872610965175, 0.6798966151603291, 0.7822931154990342, 0.9219751222842372, 0.5639449809277769, 0.5994894531275119, 0.6427556817682012, 0.659385501630289, 0.6799093548115718, 0.7835575256811742, 0.9218026279719949, 0.5429234338248983, 0.603258709712911, 0.6473852128783157, 0.6647384911527207, 0.6756756756256974, 0.7827464321957763, 0.9219329442613533, 0.5540240106217006, 0.6051810660018376, 0.6405497307519517, 0.6601980673891664, 0.6820346664750414, 0.7831018671498141, 0.9220550722577783, 0.5425790753760409, 0.6046022353215094, 0.6395167021533203, 0.6658246832195416, 0.6840666607383034, 0.7819590551321826, 0.9220401158559121, 0.5365108462686522, 0.6074628861343315, 0.6462991250715405, 0.6641974314086146, 0.6811339821849984, 0.7822555737979033, 0.9218293841580261, 0.5637721481417498, 0.6132723111628654, 0.6388445347155975, 0.6620739375476437, 0.6819967929580735, 0.7826496430871365, 0.9219247588388683, 0.5447459151054099, 0.606333642456997, 0.6513710128207588, 0.6591454632241441, 0.6832663705709983, 0.7818769039041122, 0.9219193084091394, 0.5524695991095141, 0.5994420087184784, 0.6431957612439699, 0.6643053915281333, 0.679896797857695, 0.7824314533321782, 0.9218943319510793, 0.5499925272257682, 0.5991282524926632, 0.6435752650650286, 0.6607114244012153, 0.6830885497860358, 0.7823049643989921, 0.9220191779617769, 0.5520131716311293, 0.5963180362360601, 0.6395511920958906, 0.6612287123485486, 0.6868746938561178, 0.7814669961104449, 0.9218742849499842, 0.5556889822378449, 0.6139462406979721, 0.6358816963785945, 0.6626768657103923, 0.6836516545728851, 0.7833481742553042, 0.921903317072288, 0.5364985162706921, 0.6190163933926357, 0.6457653567382375, 0.6634892662108238, 0.6808420156846527, 0.7843495753310125, 0.9220694431531471, 0.5566343041574231, 0.6101605685207194, 0.6457194268999801, 0.6627181046402614, 0.6831024635459166, 0.7822379038943608, 0.9219177723391059, 0.5476577507999757, 0.6028378198678098, 0.637732885951908, 0.6642851472072913, 0.6795467341842462, 0.7833887738164479, 0.9219321594927974, 0.5460616177982311, 0.5976031956890844, 0.6445569971053717, 0.6649988086228812, 0.683759485412941, 0.7826297529725373, 0.9220666732049044, 0.5544672009000299, 0.6102403343283368, 0.6461366961111463, 0.665552371806111, 0.6811397077806457, 0.7832936797938276, 0.9216957438321668, 0.5535000739475903, 0.602728623481053, 0.6411652407051877, 0.664841182863483, 0.6805962853850067, 0.7836544934399975, 0.9220358644406581, 0.5475385745277555, 0.6096664397050034, 0.6383037886187651, 0.6704572189916601, 0.6813015337739351, 0.7845131528981105, 0.9217936690666312, 0.5590769679655473, 0.6050578422960292, 0.6372799545212858, 0.6590473145280252, 0.6799480602143353, 0.782493954238587, 0.9218262859030014, 0.551920768257583, 0.6101876675103718, 0.6411349499814888, 0.6645305211424734, 0.6812006430254705, 0.783641160899869, 0.9218983577927383, 0.5465745191811096, 0.5958417169185292, 0.6368817279455273, 0.6609145128724772, 0.6796986644054817, 0.7826036014884231, 0.9220847231062189, 0.5750808109993901, 0.6082640192685154, 0.6407971369930774, 0.663267744712226, 0.6816812053425626, 0.7824116370560364, 0.9219706477088041, 0.5376600178127935, 0.6090436173970392, 0.6433684210026703, 0.6612039079235429, 0.6782954686250857, 0.7829394185862413, 0.9217314070727107, 0.5507981500322767, 0.6134082697212319, 0.6423419006433636, 0.6642028293888902, 0.6814496051850956, 0.7825139276858201, 0.9218281832169528, 0.555963033542737, 0.5990734612339407, 0.6397723229667363, 0.6604054979547672, 0.6800685566878557, 0.7847380815035574, 0.9219418590980332, 0.5539112050242505, 0.6130014563250074, 0.6457892509022083, 0.6706706706206775, 0.6845477364382829, 0.783547838644693, 0.9215583479427358, 0.5458119140720106, 0.5985090521332058, 0.6436829641511794, 0.6668801536606813, 0.6795628375830602, 0.7824663189804164, 0.9219522182030521, 0.5540740740243016, 0.5932646047610155, 0.644240282635546, 0.6676128523056253, 0.6828212437468668, 0.7839536449428219, 0.9219561496129139, 0.5544318857325894, 0.5990073144746323, 0.6539456209747296, 0.6700028023039917, 0.6786168858218952, 0.7825965169106553, 0.9219216216495999, 0.5588278821464827, 0.6057794273095439, 0.6427671194011072, 0.6630960051046528, 0.679670076766896, 0.7817127875844309, 0.9220388960365722, 0.5472096530423178, 0.60918635165608, 0.6435913571977577, 0.6609095230049934, 0.6799475845937359, 0.7826543270702553, 0.9219538343407119, 0.5563484983148005, 0.6026200872862948, 0.6364726630893794, 0.6612080217845886, 0.6817728123898226, 0.7832299208420229, 0.9219258492627245, 0.546762589878315, 0.6113197424393204, 0.6329131554622339, 0.6607056157454457, 0.6812298866157511, 0.783710480663854, 0.9221019069328809, 0.5446481371471404, 0.6006134150720427, 0.6456559971361008, 0.6653662419882302, 0.6784667057131984, 0.7817924996000529, 0.9220563202330768, 0.5564281558547918, 0.605332629305884, 0.6416701577492072, 0.6629506640866287, 0.6827106433570399, 0.7834863827333959, 0.9220797412546796, 0.5532906231302244, 0.6001365187213804, 0.6455437159898401, 0.6659161271664454, 0.6813768445642695, 0.7835234705792617, 0.9220106465166699, 0.545508361649227, 0.6036560595302666, 0.6369936414446319, 0.6634916854681271, 0.6796633007917686, 0.7828108747027092, 0.9217594583747458, 0.5465800996029669, 0.6132910555716456, 0.6370527806797535, 0.6632186194049656, 0.6798612813456116, 0.7824707726902347, 0.922272319931486, 0.5556047850632558, 0.5984858546452432, 0.646575723780773, 0.6639813098670314, 0.6803152394789281, 0.783979676037648, 0.9219554551625492, 0.5375398149056039, 0.6117585438808932, 0.6393326734973243, 0.6639789237884319, 0.6779086995901809, 0.782761473743887, 0.9218929686129884, 0.553514144015691, 0.6115389811687697, 0.6406382377359588, 0.6632032539470313, 0.682111179365143, 0.7835892269780728, 0.9218446444061963, 0.5383211678335883, 0.6100506427237291, 0.6467158411864249, 0.6597979473521947, 0.6799133329310464, 0.7830835674122811, 0.9218343493982255, 0.5410325275539435, 0.6043721673720615, 0.6396653885871766, 0.660987261096507, 0.6825610663519761, 0.7815691221131835, 0.9220570680322493, 0.5530791788360595, 0.6034826531469085, 0.6462961664648527, 0.6634340222075576, 0.6809145128724741, 0.7828494435553471, 0.9217961999250731, 0.5433338254339215, 0.5992750704292913, 0.646576117663688, 0.6674615475832586, 0.6836271060087485, 0.7835235902954106, 0.9219410249606986, 0.5469097376115176, 0.6066196418382732, 0.6369014084007237, 0.663127030618056, 0.6811460586004223, 0.7824298836868913, 0.9219474741025301, 0.5417527293688953, 0.5951999999500207, 0.646024412059534, 0.664325057824998, 0.6798207548340945, 0.783404580375746, 0.9218522876530835, 0.559928175919198, 0.6169154228355971, 0.6370961990515034, 0.6618705035471357, 0.678855467932075, 0.7812623570540441, 0.9219598680652922, 0.5501040736939388, 0.6034575904416543, 0.6366492146097148, 0.6553784860058074, 0.6794039382150491, 0.7837626694079912, 0.922054076322555, 0.5444785275575679, 0.6122987595172091, 0.639364990115797, 0.6558930063584814, 0.6788813206814897, 0.7813488699525717, 0.9219173865616066, 0.5399321615289763, 0.610094142209456, 0.6453173924920237, 0.6613927843201446, 0.6792226359975343, 0.7831917974005739, 0.921961553016962, 0.5344932844435061, 0.6110965715281459, 0.6485806180453911, 0.6581785742748858, 0.6790928419060775, 0.7847364748916138, 0.9219073991910838, 0.5559891923848961, 0.6030017266069417, 0.6470962721435799, 0.6617758462081281, 0.68126529242128, 0.7834814007929837, 0.9217775733771509, 0.5487990270102675, 0.6104481569375856, 0.6414508502781522, 0.6602832634648962, 0.6818423194883714, 0.7823618441471393, 0.9220351968830933, 0.541585493731283, 0.5962001605066354, 0.6420217209191258, 0.6660226220165947, 0.6781271688144664, 0.7837710770920225, 0.921948798654844, 0.5438491469122766, 0.6144752396715568, 0.635735439239267, 0.6671406002659719, 0.6794444837592729, 0.7841431639454768, 0.9220081686749433, 0.5644724976958982, 0.597719437764943, 0.6494345718401854, 0.6628976389992646, 0.6816272267513969, 0.7827561140010079, 0.9218304494466588, 0.5449970396188533, 0.6067089275781264, 0.6362475162713322, 0.6639470869633605, 0.6809728182618854, 0.7833602988337804, 0.9221430898100794, 0.559574782174004, 0.6005941128314771, 0.6480163483398601, 0.666177095764174, 0.6797645197637375, 0.7825583825195983, 0.9217191717867284, 0.5572619569490309, 0.5946092373874087, 0.6504760590089492, 0.6586864831795867, 0.678615574733695, 0.7824849640849845, 0.9216532369124297, 0.546848642796482, 0.6171823130558663, 0.6420638267460539, 0.6650651753920604, 0.6786073514120152, 0.7820965541358428, 0.922082653650013, 0.5448223733440606, 0.6072032244982217, 0.6437675523371582, 0.6709565354203901, 0.682395387449575, 0.7821170322469138, 0.9218409195563806, 0.5563527652718151, 0.6133574473082902, 0.6405851100031751, 0.6654857280389238, 0.6770177547777719, 0.782955684832752, 0.9219941358966569, 0.5556989246814744, 0.619242579274512, 0.6441273634138848, 0.6553989866504584, 0.6811493885164809, 0.7834188185981031, 0.921940219773854, 0.552818991048107, 0.6032082725206243, 0.6412873953845887, 0.6590527912606161, 0.6832289418241471, 0.7830922852277094, 0.9220253707514421, 0.5430932703163454, 0.6008886565104026, 0.6415597166202062, 0.6623918174165696, 0.6800299336682122, 0.7809270574500655, 0.9218138634574712, 0.5548561150581709, 0.5976178145538735, 0.6457102671792798, 0.665489283083994, 0.6765530918401651, 0.7827746131878136, 0.9219523359440501, 0.549753104843339, 0.5974440894068916, 0.6409831537749343, 0.6677397824477498, 0.681209541494752, 0.7818264179637641, 0.9218313427467937, 0.539274924421578, 0.5955204215574013, 0.6479475484106968, 0.6595214553583626, 0.6806991366866716, 0.7832708934688508, 0.9219182531781233], \\\"y0\\\": \\\" \\\", \\\"yaxis\\\": \\\"y\\\"}],                        {\\\"boxmode\\\": \\\"group\\\", \\\"legend\\\": {\\\"title\\\": {\\\"text\\\": \\\"type\\\"}, \\\"tracegroupgap\\\": 0}, \\\"margin\\\": {\\\"t\\\": 60}, \\\"template\\\": {\\\"data\\\": {\\\"bar\\\": [{\\\"error_x\\\": {\\\"color\\\": \\\"rgb(36,36,36)\\\"}, \\\"error_y\\\": {\\\"color\\\": \\\"rgb(36,36,36)\\\"}, \\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"bar\\\"}], \\\"barpolar\\\": [{\\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.5}}, \\\"type\\\": \\\"barpolar\\\"}], \\\"carpet\\\": [{\\\"aaxis\\\": {\\\"endlinecolor\\\": \\\"rgb(36,36,36)\\\", \\\"gridcolor\\\": \\\"white\\\", \\\"linecolor\\\": \\\"white\\\", \\\"minorgridcolor\\\": \\\"white\\\", \\\"startlinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"baxis\\\": {\\\"endlinecolor\\\": \\\"rgb(36,36,36)\\\", \\\"gridcolor\\\": \\\"white\\\", \\\"linecolor\\\": \\\"white\\\", \\\"minorgridcolor\\\": \\\"white\\\", \\\"startlinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"type\\\": \\\"carpet\\\"}], \\\"choropleth\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"type\\\": \\\"choropleth\\\"}], \\\"contour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"contour\\\"}], \\\"contourcarpet\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"type\\\": \\\"contourcarpet\\\"}], \\\"heatmap\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"heatmap\\\"}], \\\"heatmapgl\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"heatmapgl\\\"}], \\\"histogram\\\": [{\\\"marker\\\": {\\\"line\\\": {\\\"color\\\": \\\"white\\\", \\\"width\\\": 0.6}}, \\\"type\\\": \\\"histogram\\\"}], \\\"histogram2d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"histogram2d\\\"}], \\\"histogram2dcontour\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"histogram2dcontour\\\"}], \\\"mesh3d\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"type\\\": \\\"mesh3d\\\"}], \\\"parcoords\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"parcoords\\\"}], \\\"pie\\\": [{\\\"automargin\\\": true, \\\"type\\\": \\\"pie\\\"}], \\\"scatter\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatter\\\"}], \\\"scatter3d\\\": [{\\\"line\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatter3d\\\"}], \\\"scattercarpet\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scattercarpet\\\"}], \\\"scattergeo\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scattergeo\\\"}], \\\"scattergl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scattergl\\\"}], \\\"scattermapbox\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scattermapbox\\\"}], \\\"scatterpolar\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatterpolar\\\"}], \\\"scatterpolargl\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatterpolargl\\\"}], \\\"scatterternary\\\": [{\\\"marker\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"type\\\": \\\"scatterternary\\\"}], \\\"surface\\\": [{\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}, \\\"colorscale\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"type\\\": \\\"surface\\\"}], \\\"table\\\": [{\\\"cells\\\": {\\\"fill\\\": {\\\"color\\\": \\\"rgb(237,237,237)\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"header\\\": {\\\"fill\\\": {\\\"color\\\": \\\"rgb(217,217,217)\\\"}, \\\"line\\\": {\\\"color\\\": \\\"white\\\"}}, \\\"type\\\": \\\"table\\\"}]}, \\\"layout\\\": {\\\"annotationdefaults\\\": {\\\"arrowhead\\\": 0, \\\"arrowwidth\\\": 1}, \\\"coloraxis\\\": {\\\"colorbar\\\": {\\\"outlinewidth\\\": 1, \\\"tickcolor\\\": \\\"rgb(36,36,36)\\\", \\\"ticks\\\": \\\"outside\\\"}}, \\\"colorscale\\\": {\\\"diverging\\\": [[0.0, \\\"rgb(103,0,31)\\\"], [0.1, \\\"rgb(178,24,43)\\\"], [0.2, \\\"rgb(214,96,77)\\\"], [0.3, \\\"rgb(244,165,130)\\\"], [0.4, \\\"rgb(253,219,199)\\\"], [0.5, \\\"rgb(247,247,247)\\\"], [0.6, \\\"rgb(209,229,240)\\\"], [0.7, \\\"rgb(146,197,222)\\\"], [0.8, \\\"rgb(67,147,195)\\\"], [0.9, \\\"rgb(33,102,172)\\\"], [1.0, \\\"rgb(5,48,97)\\\"]], \\\"sequential\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]], \\\"sequentialminus\\\": [[0.0, \\\"#440154\\\"], [0.1111111111111111, \\\"#482878\\\"], [0.2222222222222222, \\\"#3e4989\\\"], [0.3333333333333333, \\\"#31688e\\\"], [0.4444444444444444, \\\"#26828e\\\"], [0.5555555555555556, \\\"#1f9e89\\\"], [0.6666666666666666, \\\"#35b779\\\"], [0.7777777777777778, \\\"#6ece58\\\"], [0.8888888888888888, \\\"#b5de2b\\\"], [1.0, \\\"#fde725\\\"]]}, \\\"colorway\\\": [\\\"#1F77B4\\\", \\\"#FF7F0E\\\", \\\"#2CA02C\\\", \\\"#D62728\\\", \\\"#9467BD\\\", \\\"#8C564B\\\", \\\"#E377C2\\\", \\\"#7F7F7F\\\", \\\"#BCBD22\\\", \\\"#17BECF\\\"], \\\"font\\\": {\\\"color\\\": \\\"rgb(36,36,36)\\\"}, \\\"geo\\\": {\\\"bgcolor\\\": \\\"white\\\", \\\"lakecolor\\\": \\\"white\\\", \\\"landcolor\\\": \\\"white\\\", \\\"showlakes\\\": true, \\\"showland\\\": true, \\\"subunitcolor\\\": \\\"white\\\"}, \\\"hoverlabel\\\": {\\\"align\\\": \\\"left\\\"}, \\\"hovermode\\\": \\\"closest\\\", \\\"mapbox\\\": {\\\"style\\\": \\\"light\\\"}, \\\"paper_bgcolor\\\": \\\"white\\\", \\\"plot_bgcolor\\\": \\\"white\\\", \\\"polar\\\": {\\\"angularaxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"radialaxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}}, \\\"scene\\\": {\\\"xaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showbackground\\\": true, \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"yaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showbackground\\\": true, \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"zaxis\\\": {\\\"backgroundcolor\\\": \\\"white\\\", \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"gridwidth\\\": 2, \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showbackground\\\": true, \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}}, \\\"shapedefaults\\\": {\\\"fillcolor\\\": \\\"black\\\", \\\"line\\\": {\\\"width\\\": 0}, \\\"opacity\\\": 0.3}, \\\"ternary\\\": {\\\"aaxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}, \\\"baxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}, \\\"bgcolor\\\": \\\"white\\\", \\\"caxis\\\": {\\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\"}}, \\\"title\\\": {\\\"x\\\": 0.05}, \\\"xaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}, \\\"yaxis\\\": {\\\"automargin\\\": true, \\\"gridcolor\\\": \\\"rgb(232,232,232)\\\", \\\"linecolor\\\": \\\"rgb(36,36,36)\\\", \\\"showgrid\\\": false, \\\"showline\\\": true, \\\"ticks\\\": \\\"outside\\\", \\\"title\\\": {\\\"standoff\\\": 15}, \\\"zeroline\\\": false, \\\"zerolinecolor\\\": \\\"rgb(36,36,36)\\\"}}}, \\\"width\\\": 700, \\\"xaxis\\\": {\\\"anchor\\\": \\\"y\\\", \\\"domain\\\": [0.0, 1.0], \\\"title\\\": {\\\"text\\\": \\\"Number of training examples per label\\\"}}, \\\"yaxis\\\": {\\\"anchor\\\": \\\"x\\\", \\\"domain\\\": [0.0, 1.0], \\\"title\\\": {\\\"text\\\": \\\"F1\\\"}}},                        {\\\"responsive\\\": true}                    ).then(function(){\\n\",\n              \"                            \\n\",\n              \"var gd = document.getElementById('d9fce14e-21e0-429c-9f48-3b47b535beb9');\\n\",\n              \"var x = new MutationObserver(function (mutations, observer) {{\\n\",\n              \"        var display = window.getComputedStyle(gd).display;\\n\",\n              \"        if (!display || display === 'none') {{\\n\",\n              \"            console.log([gd, 'removed!']);\\n\",\n              \"            Plotly.purge(gd);\\n\",\n              \"            observer.disconnect();\\n\",\n              \"        }}\\n\",\n              \"}});\\n\",\n              \"\\n\",\n              \"// Listen for the removal of the full notebook cells\\n\",\n              \"var notebookContainer = gd.closest('#notebook-container');\\n\",\n              \"if (notebookContainer) {{\\n\",\n              \"    x.observe(notebookContainer, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"// Listen for the clearing of the current output cell\\n\",\n              \"var outputEl = gd.closest('.output');\\n\",\n              \"if (outputEl) {{\\n\",\n              \"    x.observe(outputEl, {childList: true});\\n\",\n              \"}}\\n\",\n              \"\\n\",\n              \"                        })                };                            </script>        </div>\\n\",\n              \"</body>\\n\",\n              \"</html>\"\n            ]\n          },\n          \"metadata\": {}\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 104\n        },\n        \"id\": \"ikURpZg5E3ZB\",\n        \"outputId\": \"c31bc4e3-9a94-4dd8-b483-f7bc90570485\"\n      },\n      \"source\": [\n        \"fig.to_json()\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\n          \"data\": {\n            \"application/vnd.google.colaboratory.intrinsic+json\": {\n              \"type\": \"string\"\n            },\n            \"text/plain\": [\n              \"'{\\\"data\\\":[{\\\"alignmentgroup\\\":\\\"True\\\",\\\"hovertemplate\\\":\\\"type=BLAST<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\",\\\"legendgroup\\\":\\\"BLAST\\\",\\\"marker\\\":{\\\"color\\\":\\\"#1F77B4\\\"},\\\"name\\\":\\\"BLAST\\\",\\\"notched\\\":false,\\\"offsetgroup\\\":\\\"BLAST\\\",\\\"orientation\\\":\\\"v\\\",\\\"showlegend\\\":true,\\\"type\\\":\\\"box\\\",\\\"x\\\":[\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\"],\\\"x0\\\":\\\" \\\",\\\"xaxis\\\":\\\"x\\\",\\\"y\\\":[0.5296356715106547,0.5820066641485113,0.6216790647747528,0.6474027688210372,0.6656647128067823,0.7681516784099046,0.9201874481485249,0.5299310344327913,0.5789925235437149,0.6221579707741044,0.6463194339407617,0.6620649985120426,0.769151138666392,0.9202052342175667,0.5309636211663653,0.5813200497633159,0.6173662873830918,0.6453863465367086,0.6645477018823542,0.7693878963632734,0.9202635359866924,0.5340014315892724,0.5802064358941912,0.6201859229248782,0.639371506219929,0.6666888054493404,0.7692368575465844,0.9198442465753587,0.5316421895361276,0.5753664953767329,0.6189282568432686,0.6516777508569814,0.666466155312899,0.7691067644283011,0.919946625653329,0.5193229900769634,0.5716367168029535,0.6293660638007255,0.6508262944781843,0.6677003617433465,0.7688877378118387,0.9198047009314768,0.5277852348493635,0.5919041212660091,0.6234736771369777,0.6441599046623693,0.6703860522539222,0.7701021433062702,0.9200612938872654,0.5265633646429205,0.5801970193994699,0.6271995812936985,0.6497173025299355,0.6668791838837573,0.7703255034709877,0.9200100384195866,0.5396997158975437,0.5858180906541876,0.6340704233986119,0.6428814134737063,0.6662526643900513,0.7702583508993266,0.919982615299355,0.5313098167397701,0.5702385459554374,0.6243979678856769,0.6519753971048935,0.6641625117409288,0.7692854954393056,0.9201573729005322,0.5266795686533695,0.5641925776833452,0.6198673721786059,0.6431820744641791,0.6613363401342205,0.7700204226758525,0.9199226457784001,0.5363485016148322,0.5828041035162819,0.6235519957136327,0.6452831613842178,0.6662388759864623,0.7708756379162507,0.92028209159349,0.5212824764563875,0.5847258323551198,0.6267365661362188,0.646510059520728,0.6662410751285367,0.7691594522588319,0.9201440605015297,0.5264033263533917,0.5761112490189194,0.608238503976177,0.6467316775365729,0.6635801949028367,0.7695925304130927,0.9203936410901936,0.5186807170706107,0.5797101448776125,0.62765467810116,0.6488687782306397,0.6688174585247859,0.7703438928941942,0.9202528669344275,0.5311260089799759,0.5795026374783873,0.627693535464853,0.6465079543673207,0.6660553517339786,0.7696988285078937,0.919877284414754,0.5268386918225177,0.5814269815254735,0.6210720886746675,0.6512114084691469,0.6672859941396272,0.7712279752110127,0.9199788281918696,0.5286415711448136,0.5732980998620716,0.6248493773767645,0.6479211186843881,0.6648547988830726,0.7704850259115967,0.9199544172230014,0.5364548494483422,0.5796568626952395,0.6276039943948742,0.6502746731836718,0.665475613982205,0.7697499183694495,0.9200516554523624,0.5178672716460102,0.570706432402995,0.6294529053687208,0.6463368721735808,0.6635871403899879,0.7691733817674977,0.9201517145164633,0.5362024630708679,0.57022017658896,0.6108183818616468,0.6465302423422788,0.6666217898595214,0.7690462558480089,0.9200399762619949,0.5339089262834089,0.5834050399009131,0.6280519480020361,0.6482052825146095,0.6682937429499994,0.7706076748045289,0.9200677152319041,0.521640091066234,0.5792705852364612,0.6165453341658437,0.6494849250472639,0.6702514363706346,0.7704423203890282,0.9198849381031364,0.5442489850650354,0.5787742170818488,0.6268227293033687,0.6484528301387608,0.6639468626224346,0.7697824515559372,0.9200130792506612,0.5236074996078866,0.5747409964967364,0.6284174552602916,0.6443906863728425,0.6646196647393661,0.7688333710766356,0.9200668667086777,0.5272528074000294,0.5633423180094552,0.6151293961013461,0.6468711287462203,0.6650964821761203,0.7686997852239128,0.9204209985956565,0.5166384658270688,0.5749662865750867,0.620434160875585,0.6400270401724137,0.6651266313195575,0.7703957552528206,0.9201540806610149,0.5255434029681907,0.5770294043230839,0.628586680852252,0.6438681049152906,0.6688161514718587,0.7696573100929669,0.9201648898451694,0.5392519522722767,0.5775644264281464,0.6148451970921681,0.6471428570929411,0.6654346291627985,0.769743005331174,0.9200220296946384,0.5386301369363148,0.5752876437720637,0.6279439004528828,0.6514785756893638,0.6652014897329646,0.7706869507851809,0.9201544051279327,0.5311439814943469,0.5817774458051932,0.6151449471188702,0.6465901013304911,0.6659288324952569,0.7701328315735149,0.919868573552731,0.5286501376910769,0.587123598286971,0.6215611425063516,0.6499795439676718,0.6677405822136597,0.769131668313141,0.919849451816955,0.5121174352083105,0.576250155056209,0.615719947109915,0.6502877378872276,0.6648133708013463,0.7706203571104621,0.9199711135131692,0.5360593753876274,0.5711794743554564,0.6211939901109684,0.6433524039966566,0.6641295275748271,0.7697080012046728,0.9201419596366235,0.5312066573702755,0.5890510948406358,0.6143153110508114,0.6481530193781228,0.6658939729393569,0.7699984498256541,0.9199562581165442,0.5358581788380269,0.5821968757249685,0.6310125335808896,0.6492712030314435,0.6683744838128759,0.7684449404446373,0.9201256801048543,0.5238420548755552,0.5684078036002143,0.6103705677986626,0.6503168094916271,0.6638573634581993,0.7697335207701832,0.9200441623281481,0.5297076817991119,0.5747822793897185,0.6248111905982704,0.6408605408182263,0.6643990929205711,0.7700195155390672,0.9200565757930659,0.5339975763604244,0.5734740014572598,0.6289415150619415,0.648342520526988,0.668083895432238,0.770100954311174,0.9201767501183998,0.5365256427197145,0.5678735846210214,0.626518894328528,0.6479933739430135,0.6634449078755829,0.7693206986374027,0.920072338031669,0.5259964142376987,0.584859584809738,0.6216088858470958,0.6426704049817189,0.6626915950317578,0.7677188655480639,0.920306524009664,0.5470803413671648,0.5760909877112617,0.6214387927171131,0.6511416562036463,0.6663409209118061,0.7700459114145907,0.9199771397989249,0.5251457231437282,0.5679697351329661,0.6214937703544898,0.6485978497358139,0.6656138169222293,0.7688025723227144,0.919947105404296,0.520967511042073,0.5802982155452874,0.6193136471966965,0.6503904768627174,0.6655970585278138,0.7695344636679503,0.919948118228666,0.5356193513588406,0.5768894440476042,0.6160570198532503,0.6422152238536342,0.664018257071182,0.7694959345877159,0.9200531266337422,0.5339578453832965,0.5741543798286816,0.6238811906946377,0.6496355848926177,0.6644244513079968,0.7699433306458666,0.9199485551102382,0.52594571785187,0.5696586598742531,0.6278946671460974,0.6436965202010647,0.6646339408550195,0.7685284137139278,0.9200518215770539,0.5286213382999325,0.5902777777278942,0.6229444008897893,0.6468116749826234,0.6657562422578138,0.7697052707835746,0.9199612705558299,0.5139942092427428,0.5864205028045417,0.6229311264850486,0.6468142997006717,0.664305684945402,0.7699373921653245,0.9199138095396808,0.5493785001549538,0.5866998134988881,0.6217376940366413,0.6455922967329479,0.6635690579025746,0.7694216792067685,0.920026670431006,0.5363836824197011,0.5861258809937738,0.6225549709470107,0.6444326536300745,0.6635123571252717,0.7676603178098467,0.920194267444501,0.5258501520097435,0.5862449429438948,0.6285977131844004,0.6515820180516577,0.6660853817536098,0.7703383160423177,0.9201525481639218,0.5304795447888151,0.5726538849147881,0.620356906757716,0.6489149647851534,0.6664195949771662,0.7687152106736544,0.9201759853848225,0.5337655320948261,0.5848665772621345,0.6281374693798634,0.645380691429396,0.662860013345906,0.7689394406486351,0.9200088455419394,0.527526038094211,0.5864587200887325,0.6263377707671156,0.6444884685330754,0.6651823827278912,0.7689534241757404,0.9201145216157005,0.532714001277172,0.5928491896074174,0.623183597587947,0.6463506395287554,0.6705640071247048,0.7708689986272832,0.9200851918189624,0.5327812283834181,0.575964281235005,0.6209282589748298,0.6476412785164305,0.6661940449166168,0.7695794671532205,0.9200013538266938,0.5407725321388813,0.5745560690330268,0.6208141166534974,0.6404447637638635,0.6665320748503757,0.7706096186739326,0.9199025625377929,0.529770785247736,0.5661304187147187,0.6172040168633811,0.6432338757789311,0.6622103986569479,0.7699789052459125,0.9201560504962422,0.5284227381405835,0.5784361339957428,0.6301174332855729,0.6512085334447988,0.6697638273650101,0.7689673881574627,0.9203833368656211,0.5330733880575212,0.573478475952134,0.6279472491841274,0.6483561592216404,0.665008654103219,0.7692945914146114,0.9200133458579053,0.5364712358432239,0.578628783149589,0.6218862963680895,0.6502463053688191,0.6638314971204641,0.7697224093055459,0.9198981775570125,0.5217272478319958,0.5943082419114735,0.6216768915656115,0.648266526234215,0.668592998346635,0.7695374051712073,0.9200925292993213,0.5251184833623437,0.583932556359755,0.6174163705339529,0.6435455717798019,0.6653707678545869,0.7699843889822788,0.9201398327270666,0.535254190281091,0.5672919551307547,0.6285116947103118,0.6463738814132773,0.663366504434085,0.7706988298472323,0.9199508728044715,0.5348159914776979,0.582781456903806,0.6277606745585654,0.6413205455922106,0.6703712381919342,0.769204594159437,0.9200140834778789,0.51973318505285,0.5767582555588526,0.6227825069355991,0.6463142781077956,0.6646303599399934,0.7690283270372885,0.9202616271596963,0.5288409703004228,0.5668301269462426,0.6190571447123696,0.6450629050206305,0.6661692132388375,0.7689468970818856,0.9202844173309827,0.527197802147876,0.5729000612621764,0.6249752360327545,0.6472642607184287,0.6664540066320427,0.7688730306573146,0.9200889760721399,0.5357812918288758,0.5751188009735951,0.6249750515101908,0.6528922537075663,0.6705595287678846,0.76912801479234,0.9201173802497986,0.5391304347326227,0.5644234452316759,0.6229377856785993,0.6485664477821503,0.6679642928555979,0.7692785241839942,0.9198624735187885,0.5285694424636308,0.5685618728598356,0.6206393420378901,0.6493516255843667,0.667326334099582,0.7706464659949929,0.9198444207493561,0.5354759634526693,0.5758058585111775,0.6203334422514941,0.6495276093903871,0.6670825254495104,0.7698351244081347,0.9200173545797512,0.5295782239090606,0.5823660162504055,0.6240222722555308,0.6418844592301431,0.6643771043271716,0.7699387859962065,0.9201030742402657,0.5256303684731541,0.5776055985504793,0.6291915778029348,0.6446438074464711,0.6646184671399078,0.7687033048932661,0.9199767447306972,0.5314158055909137,0.5916185325788459,0.6256684491479287,0.6491882321420691,0.6672923195022678,0.7705940995697225,0.9200756532151373,0.537976418924534,0.5825410544012689,0.6230965295886477,0.6430046947857778,0.6661273195637456,0.7692524563554871,0.9199679333202783,0.5291881617746158,0.5724381624943261,0.6233509234329425,0.6468579234473694,0.6645098564607052,0.769519025937648,0.9201460414237876,0.523637374810972,0.5834067732095887,0.6305938179162165,0.6456338027669914,0.6700170300365372,0.76913636224216,0.9201391684065853,0.5323225361319571,0.5711038140445734,0.6190669370697672,0.6454240355471987,0.6641067712679473,0.7699414904644047,0.9202694027236437,0.5297651556026821,0.5751051719372612,0.6187078614412337,0.6500433160825372,0.6701486270388093,0.771105664103289,0.9202748842877878,0.5390646120073264,0.5770859277210172,0.625344714329591,0.647167204003508,0.664170584234821,0.7687183841763039,0.919975769416343,0.5323955092155545,0.5816473987940421,0.6248831931152053,0.6434932921976498,0.6668342803007198,0.7692572484649232,0.919907398010474,0.5361107303871947,0.5745507527427323,0.624974783085067,0.651584732314783,0.6638284983009942,0.7701591915200483,0.9199899702691421,0.5240905970673826,0.5695445108793725,0.6272654583722489,0.6430028873418364,0.6703785446263598,0.7703459213777925,0.9197960989844094,0.5257931033983092,0.5712872510939471,0.6188689358922131,0.6518735450428186,0.6607763760775777,0.7696509458599744,0.920216820442218,0.5308252093417506,0.577783269442241,0.6275306295772933,0.646106457258234,0.6672379895654211,0.7697006117305022,0.9200351546555973,0.5404019964426701,0.5716740303870219,0.6152211448564604,0.6481099913335875,0.6645061624244454,0.7711416372524519,0.9197450023449755,0.5370850976142786,0.5825123152210571,0.6158495634155083,0.6493933171052091,0.6687430176554509,0.7711772230029519,0.9202764969225211,0.5335861321277033,0.579605996728734,0.6269129287099623,0.6463608192381669,0.6677921903753028,0.7686102015358979,0.920103868979398,0.5248564626303416,0.5878891884767633,0.6315301595209997,0.6425940691303261,0.6652233745682533,0.7686397773089327,0.9199663397182811,0.5300353356390691,0.5745690731452233,0.6203543359031907,0.6373056994320131,0.6654695149342187,0.7696774831316737,0.9199210309225707,0.5242585758691267,0.5688788335347785,0.6239978620559222,0.6473923327702521,0.6640890450584372,0.769536253479936,0.9199605896694765,0.533693450321389,0.5791154790655757,0.6244435450735071,0.6468956208259095,0.6657094108999371,0.7691512896387024,0.9201672620120518,0.5370165745356696,0.5795553346911169,0.6292695743063585,0.6503588471300525,0.6684734121742052,0.7692809972046151,0.9200957918525138,0.5250583550235106,0.5805173907162835,0.6302959196476303,0.6453756133891455,0.6703577798968812,0.7697930374536706,0.920096436483351,0.5330402527320123,0.5923423422924278,0.6303006432479646,0.6453327344361912,0.6642773823313277,0.7703824622925998,0.9200153928179713,0.5297193175064345,0.5734282907163714,0.6290932810981398,0.6415194479749496,0.6645590793023838,0.7702879854290146,0.9201104127688692,0.5322906835148209,0.5868173257505709,0.625431792950152,0.6444292652810029,0.6643548522352213,0.7704503454871667,0.9198915681950375,0.5318238298547538,0.5658944169649206,0.6184227791129205,0.6442583370558618,0.6680680040531726,0.7696860117665839,0.9201036901240469],\\\"y0\\\":\\\" \\\",\\\"yaxis\\\":\\\"y\\\"},{\\\"alignmentgroup\\\":\\\"True\\\",\\\"hovertemplate\\\":\\\"type=CNN<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\",\\\"legendgroup\\\":\\\"CNN\\\",\\\"marker\\\":{\\\"color\\\":\\\"#FF7F0E\\\"},\\\"name\\\":\\\"CNN\\\",\\\"notched\\\":false,\\\"offsetgroup\\\":\\\"CNN\\\",\\\"orientation\\\":\\\"v\\\",\\\"showlegend\\\":true,\\\"type\\\":\\\"box\\\",\\\"x\\\":[\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\"],\\\"x0\\\":\\\" \\\",\\\"xaxis\\\":\\\"x\\\",\\\"y\\\":[0.43990843185356626,0.5433887699182507,0.5651951593187671,0.602381288483113,0.6137865126039105,0.7377463221446302,0.902773295377368,0.4484545977677876,0.5405937345766795,0.5688350982885877,0.6044790104466556,0.6135611450783995,0.7376694898024112,0.9029147106458656,0.4279510461482446,0.5639703512254912,0.5624574540031798,0.595139974372868,0.6123146141827212,0.7375428936081884,0.9030041619565854,0.43179662298854044,0.5441057893418312,0.5727073129067316,0.5995375831162736,0.618157187086124,0.7380917966319211,0.9030793669802308,0.41697062771730026,0.5607799968075117,0.5796427087187872,0.6084385412762817,0.6115349530988905,0.7380112914434902,0.9027507892762588],\\\"y0\\\":\\\" \\\",\\\"yaxis\\\":\\\"y\\\"},{\\\"alignmentgroup\\\":\\\"True\\\",\\\"hovertemplate\\\":\\\"type=Ensembled CNNs<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\",\\\"legendgroup\\\":\\\"Ensembled CNNs\\\",\\\"marker\\\":{\\\"color\\\":\\\"#2CA02C\\\"},\\\"name\\\":\\\"Ensembled CNNs\\\",\\\"notched\\\":false,\\\"offsetgroup\\\":\\\"Ensembled CNNs\\\",\\\"orientation\\\":\\\"v\\\",\\\"showlegend\\\":true,\\\"type\\\":\\\"box\\\",\\\"x\\\":[\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\"],\\\"x0\\\":\\\" \\\",\\\"xaxis\\\":\\\"x\\\",\\\"y\\\":[0.5237776288870919,0.6061971830490165,0.6365194069385102,0.6464698111906411,0.6738292827007184,0.7740437136289434,0.9125378115349828,0.5466321243038191,0.6131647656504654,0.6323174411092664,0.6510480887295574,0.6662213810775991,0.7742778755749234,0.912817843554427,0.5315692513335518,0.6071478625993857,0.6210765731119537,0.6493179432871591,0.6666293162518359,0.7738117860188015,0.9131579504725468,0.5215206832544457,0.6146519119828867,0.6271671942818622,0.6584393232932517,0.6734652328721205,0.7730751924900456,0.9123820448028186,0.5192663637414312,0.6105815719907425,0.6234239707844962,0.6528488496600309,0.6652804315564402,0.7733448247102443,0.9127360460194855,0.4920553561796493,0.6073734040531066,0.6183560185041819,0.6555918124688425,0.668655380664688,0.7744257816756859,0.912867081102039,0.5325305234509932,0.6192038806752037,0.6198503287734947,0.6527239425323962,0.6640503821147066,0.7740100843050115,0.9127159661716137,0.5101731965216607,0.6145891559033811,0.6286881524697082,0.6521068858701137,0.6706359542538277,0.7726719511825193,0.9127535729056103,0.5337331333850238,0.6009206304427558,0.6292202876113323,0.6504291935737203,0.6723035753609952,0.7749686182294522,0.9127348996343307,0.5322473403773873,0.607533064930242,0.6211114466433295,0.6550918196498086,0.6716825255827983,0.7740203177191575,0.9127785037135031,0.5354881705614613,0.6031339030842724,0.6244316910885986,0.6527877887991256,0.6715599078275245,0.7734070409742436,0.9126017802287143,0.5246111912300891,0.6143973213788984,0.6229807984875522,0.6606114124224395,0.673578199002373,0.7746864532020477,0.9125974767186108,0.528512736188502,0.6023924807250771,0.6186043047096864,0.6452368993308338,0.6682361803815617,0.7751281455826001,0.9126494604389945,0.5244444443964601,0.6030567061352229,0.6275846398049828,0.6508790509987729,0.6655273618405577,0.7746447231949911,0.9125819440527725,0.5252156602040177,0.6191135733575422,0.6220628623245875,0.6526280464287819,0.6710309740637079,0.7734640349216189,0.9126363772998699,0.5322422258110584,0.6134706134209962,0.6304855099240781,0.6571464677879937,0.6713555463851012,0.7745055685593638,0.9125721993066929,0.5266832917224138,0.6110478359413043,0.63283672384064,0.6521739129937528,0.6662020905426259,0.7735687552669795,0.9126290066583175,0.5200866810654011,0.6074156366676515,0.6314283562490624,0.6541215653124677,0.6719522046583917,0.7735691348447379,0.9125388255155452,0.523952095760411,0.6012393716177232,0.6406828309799305,0.6528506246571084,0.6674553545781926,0.7734621003440961,0.9128771229699165,0.5348761407599605,0.6003662487178664,0.627385640665344,0.6534193983386622,0.6664152650531927,0.7736055665209051,0.9127331638380789,0.5347035039949607,0.6086339107710819,0.629022645957515,0.6545850248529839,0.670315868354072,0.7720904299305823,0.912710164883514,0.527949274104919,0.6097898229593155,0.6283066805662227,0.6489060488563546,0.671789037827223,0.7739801601397608,0.9126024467434493,0.5187957688698286,0.5975034673566907,0.6284706242793154,0.6577067748118093,0.6690098713233013,0.773254362384029,0.9126003680668991,0.536617842827943,0.6053704484250487,0.6215635078601389,0.6585529066838699,0.6694443927257426,0.7736785943950679,0.9126323341753337,0.5183041034765011,0.614413177713002,0.6254400734236402,0.6526455795670165,0.668672141686919,0.7742920415531505,0.91269275716401,0.531967619314067,0.6034084343813151,0.6257943924738302,0.6493354018538823,0.6698965805894306,0.7735770624383461,0.912734813607404,0.5311688311206625,0.6026176551997533,0.6258917954319702,0.653575491922781,0.6720588784200089,0.7734158597044661,0.9128235983634669,0.5243781094045706,0.5944086021010955,0.630260444462819,0.6494236008725367,0.6699027299083035,0.7744628365539592,0.9129259319079782,0.5059342149400624,0.611450805953662,0.6249617151113799,0.6560963201130926,0.6706953092837076,0.7728100086138858,0.9125839629337165,0.5334672020935983,0.6165163080696928,0.6368832731152309,0.6491844947606425,0.6647504572275008,0.7744199814192408,0.9126629279662892,0.5246934039955526,0.6071681540798609,0.6177507689504474,0.6553653582625093,0.674263479661208,0.7724614046320196,0.912697216668594,0.5244207367410506,0.6033010813389619,0.6237113401566203,0.6566340606475168,0.6706238100074104,0.7719630919975174,0.912800682542489,0.5240802675102919,0.6116504853872252,0.6228410560259776,0.6568705654651675,0.6688997005490422,0.7711507516640854,0.9129814995465203,0.5238645746837428,0.6164784608452974,0.6123565619992946,0.6582086406246935,0.6683325003667319,0.7728378184556065,0.9127258129123295,0.5110399460161553,0.618979357748571,0.6296049217503248,0.6523017472621173,0.6666169311474935,0.7742435008993692,0.9125530289456977,0.52411735450162,0.631070640126909,0.6310679611155383,0.6629505447951957,0.6710492010378156,0.7729733451488443,0.9124633716107924,0.5040187541382377,0.6017118401786999,0.6351138155917225,0.6508399982576513,0.6647542980922712,0.7746256269884609,0.9125988002342568,0.5261181290063642,0.5996568486779931,0.6311976454111309,0.6540332047129718,0.6703004419971349,0.7737321610102348,0.9128939542475444,0.5130260520560881,0.6071780435816435,0.628197411927567,0.6536997531606367,0.6658359679621778,0.7738863757029308,0.9126956792790376,0.5140522875335115,0.6053010659256413,0.6287479282313423,0.6574731973435896,0.6704311924409588,0.7741935483371952,0.9126149511918751,0.5196643079987022,0.6140277193960071,0.6270278427030822,0.6565334228592312,0.6701670110657213,0.7738859034117309,0.9129121260006136,0.5141430947937579,0.620056497125624,0.6269835356727259,0.6514057588901988,0.6688841963138019,0.7735178901535905,0.9126047028355448,0.5262297760590788,0.6089283199053368,0.6206632457189571,0.6503171246859488,0.6733411636991616,0.7734830021120378,0.9125194208232421,0.5218996475439931,0.5885431811076088,0.6304218656663954,0.6519256986551434,0.6689726994964977,0.7729188130690413,0.9123333929224582,0.5272396091584459,0.6028161159408219,0.6200561754609649,0.6549557635096334,0.6691157176096864,0.7744371845366088,0.9125251569847995,0.525043177844536,0.6103429203043822,0.6227571769839707,0.6569777181610351,0.6632079549870189,0.7742514605951833,0.9129014976844276,0.5217245988825484,0.6032999576431524,0.6300119688313909,0.6521114864367829,0.6664669761371572,0.7726225592239284,0.9127938555216594,0.5258434435283406,0.5945313641849351,0.6272863567720423,0.6550306284641771,0.6697413199435753,0.7738171223761047,0.9123934196447134,0.5286418493485299,0.6033582615561135,0.6244474927107345,0.6505264054743788,0.6725785717780369,0.7747876101025932,0.9127355676216222,0.5244790783866311,0.6129258376062658,0.6267935356702051,0.6625204857258299,0.6654297386961179,0.7714247789460891,0.912606420182466,0.536729663058007,0.6092307691812787,0.6262154216735721,0.647136582612,0.6706449735846365,0.7726779197306115,0.9127620852124293,0.5217680291974319,0.6100727635400591,0.6240982347931396,0.6543372215833991,0.6695069766944198,0.7727837361603928,0.9124915232564479,0.5177698075814967,0.6160764473927083,0.6197721537849022,0.6527653404475343,0.6699697525899523,0.7739711724262353,0.9129240059780294,0.5311679789545453,0.6008207159544269,0.6286866272930961,0.6489605430135337,0.6696410463911615,0.7735384371743455,0.9127656356946665,0.5270564583201827,0.609313998834993,0.6336079824132603,0.6481685136123402,0.6709433402053956,0.7736624641941883,0.9126399508361309,0.5253216088103567,0.6109101029284227,0.6286361918658225,0.6512682680503851,0.6695038096510656,0.774053979759178,0.9126705165724462,0.5302279484154738,0.6143296948846041,0.6177986658085562,0.6476695005270549,0.6663012040862676,0.7740564428873277,0.9125403286715884,0.5205930806767246,0.6085710190131108,0.6223432417627405,0.6546288821358006,0.6671034895414164,0.7740873325827407,0.9127382136986332,0.5339067151353545,0.613533408783901,0.6290909090414072,0.6556645475863759,0.6705880155609932,0.7728800272798053,0.9125788858863435,0.5275154672262777,0.6104757870462247,0.6247446083499798,0.653316016540838,0.668820797100949,0.7738752259372246,0.9127525493754525,0.5221253495158378,0.6062473735321089,0.6174847082900125,0.6620672247199595,0.6679038032080882,0.7733682550834122,0.9125764102196849,0.5308560052605307,0.6160209567958641,0.6326746115057164,0.6536373506560179,0.6711384104714154,0.7734705708998749,0.912795771790456,0.5306788511270173,0.6162725224728665,0.6237160120350436,0.652715367776772,0.6656477736069113,0.772669241192041,0.9128339256023434,0.5242042439834727,0.6043391378321306,0.6329621380350797,0.648105964685036,0.6681296420839586,0.7726942054156761,0.9126521290886552,0.5286592456735453,0.6119864940414861,0.6267471167304136,0.6506065119741125,0.6675925925428883,0.7733708346738418,0.9131938189975363,0.5170568561392146,0.6039475579391005,0.6284001498193181,0.6506753013861002,0.6711399443432292,0.7732425586982091,0.9126692830534602,0.5332435616417724,0.6097805821962053,0.6275300619416443,0.6600797217719524,0.6691230104053087,0.7743787111302639,0.9125293038750821,0.5172710087162383,0.613311331083485,0.6225823713288263,0.6547817393704679,0.6695844895485352,0.7742821459446104,0.9125445179056704,0.5242184815733896,0.6042347590806424,0.628358764371762,0.6612559092504525,0.6696251357028276,0.7748342100253728,0.9126635274129768,0.5302679457009504,0.6050467819180413,0.6278066261482189,0.654539286724691,0.6728468899024017,0.7736319325017952,0.9127669686847304,0.5161180282651955,0.5960584148093319,0.6279442030146883,0.6537184175733459,0.6675036069130985,0.7732324725867047,0.9127884817621579,0.5156356219777327,0.611774743977601,0.623762376188055,0.6567302039976332,0.6671568349709016,0.7755108514971251,0.9128918166560248,0.5201090660728455,0.5996855794844493,0.6281915696738996,0.6564859733736341,0.6684484981653561,0.775230688824796,0.912961659128067,0.5195502600624984,0.6094885310800465,0.6211496664423599,0.6541049797619125,0.6676318817485491,0.7737800781831369,0.9128231301813565,0.5338912133410904,0.6133448623224216,0.6257033535404748,0.6570173603351074,0.6716526474314801,0.7737301287751268,0.9125716048984683,0.5126920507201874,0.5985815602340737,0.6352747416782468,0.6517436180108584,0.6689697670881678,0.7750538245963743,0.9127464951439493,0.5207396301366116,0.6089734684877065,0.6325457373032787,0.6541715043457129,0.6693345741708291,0.7734086155037281,0.9130220936718002,0.5148921601711389,0.6071774975254914,0.6219736438364559,0.6553991401340414,0.6653849025112911,0.7738011571801382,0.9130141354625351,0.5061665821447481,0.6129439842267014,0.6258879832003281,0.6483427647036988,0.6718254707688348,0.7735078802259883,0.9125447721177177,0.5447809277869909,0.6237441629614912,0.6251227433601311,0.648151997622122,0.6694893317551688,0.7753113872616468,0.9125100653275571,0.5446836268268999,0.6068653764159645,0.632986626993544,0.6530577743469521,0.6703653888765104,0.7736091776208606,0.912664781748668,0.5274384998659692,0.6114398421595592,0.6291356568659037,0.6514526315292394,0.6760678368152155,0.7731556556584572,0.9128918289781757,0.5203730976447564,0.6026017624345382,0.632603773535324,0.6531514301003126,0.6757491186341703,0.7732737844922195,0.9127416658915314,0.5233177880932193,0.6005971846511471,0.6231960709742543,0.6464311524393359,0.6691650818013518,0.7726551930860969,0.9125104316895418,0.5301603040337199,0.6088275861572475,0.620269749468846,0.6538428946202217,0.6725515702903564,0.7739626982538954,0.9126739634823225,0.5314248107451678,0.620103164595545,0.6240789972919147,0.6535190126253828,0.6683010177052643,0.7740037965194531,0.9125472943394637,0.5257976917372498,0.6077502090387591,0.6264012811217945,0.6598498026572183,0.6660979227989628,0.7727241504528444,0.9126738945559806,0.527944111728402,0.6203690660159292,0.6159952073789698,0.6516559648032759,0.6671288575267906,0.7733987277245551,0.9126179836362525,0.53242212328306,0.6115518440700686,0.6257076005242536,0.6488565751711727,0.6673836853026905,0.7733253174361637,0.9128139166728274,0.5256389117408199,0.6154058150254814,0.6303807010435857,0.6511568560237472,0.668963357294494,0.7735369766739136,0.9127626823666423,0.531729025829733,0.6037204058128656,0.6209326735146917,0.6534358930274791,0.6732761833270821,0.7741993332552983,0.9123743881395071,0.5353619795539598,0.6114897759971268,0.6385408170335581,0.6538542234406616,0.6722189843649026,0.7726975815016556,0.9126692500842603,0.5176120389797388,0.6066083026897637,0.6261605882293849,0.6565677699632244,0.6693769464098618,0.7742321003607169,0.9128244466665382,0.5379150833816488,0.6168803719384527,0.6283314241580942,0.6502741458802882,0.6652371717880359,0.7724662661824866,0.9128121649557588,0.5287811314049503,0.6091399375036275,0.6267510166698385,0.6513808386819987,0.6680057065128411,0.7735988841723368,0.912725025380605,0.528599605474735,0.6066390040997445,0.6207695873403976,0.6526342645248561,0.6685167822491695,0.773578802756169,0.9125937042020177,0.5299539170022343,0.608285714236064,0.621329911641883,0.6594767661801936,0.6687755861058574,0.774630726549626,0.9126648365070115,0.5052424639098947,0.6186511240136019,0.630660448273056,0.6635623793445004,0.6692923673741641,0.7733870090383852,0.9127880444648786,0.5174966352144765,0.6118392625169996,0.6332097849763785,0.6472144086156213,0.671181734561802,0.773437438085085,0.9125673091515665,0.5343586386953092,0.6080044623684164,0.622913847492267,0.6604398403170777,0.6644765086393575,0.773014813142362,0.9129207463244714],\\\"y0\\\":\\\" \\\",\\\"yaxis\\\":\\\"y\\\"},{\\\"alignmentgroup\\\":\\\"True\\\",\\\"hovertemplate\\\":\\\"type=Ensembled CNNs with BLAST<br>Number of training examples per label=%{x}<br>F1=%{y}<extra></extra>\\\",\\\"legendgroup\\\":\\\"Ensembled CNNs with BLAST\\\",\\\"marker\\\":{\\\"color\\\":\\\"#D62728\\\"},\\\"name\\\":\\\"Ensembled CNNs with BLAST\\\",\\\"notched\\\":false,\\\"offsetgroup\\\":\\\"Ensembled CNNs with BLAST\\\",\\\"orientation\\\":\\\"v\\\",\\\"showlegend\\\":true,\\\"type\\\":\\\"box\\\",\\\"x\\\":[\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\",\\\"(0, 5]\\\",\\\"(5, 10]\\\",\\\"(10, 20]\\\",\\\"(20, 40]\\\",\\\"(40, 100]\\\",\\\"(100, 1000]\\\",\\\"(1000, 500000]\\\"],\\\"x0\\\":\\\" \\\",\\\"xaxis\\\":\\\"x\\\",\\\"y\\\":[0.5475341651315639,0.6119954157146872,0.6387529707315516,0.6601286428468647,0.6799894634674423,0.7820531428144192,0.9217913287368888,0.5415441744823474,0.6053467442592191,0.6382828993166895,0.6658770578678221,0.6807740102464851,0.7824910137098232,0.9219242104574856,0.5349376630411735,0.6052320230866105,0.6521173975008323,0.6648520993776165,0.6855681837582148,0.7819050111710496,0.9221546982557646,0.5406985689609118,0.5971550890261224,0.6481545598835495,0.665873676647994,0.6787146465484896,0.7835392161104248,0.9217950888728413,0.5524663676632441,0.6024224676726309,0.6304072142659339,0.6601676896037969,0.6785783922215777,0.7821951064005889,0.9218134114445139,0.556595230858776,0.6000265497973876,0.6374468677641077,0.6656642000212458,0.6797607387215323,0.7834738185962338,0.9219792191097614,0.5528455284055304,0.602975296797325,0.644227390857215,0.658384596898165,0.6824875214875735,0.7832718576997404,0.9220159065326872,0.5533421867586242,0.6074246539405053,0.643590825896288,0.6652550836462257,0.678162960808154,0.7829709666109129,0.9218304402587074,0.5498884757867587,0.6060443250003988,0.6399773258197945,0.6653424439353933,0.6795483236980842,0.7826333103317626,0.921843226819749,0.553197848127291,0.6093668236025903,0.640084388135663,0.6609963547495228,0.6793093687583976,0.7834740481812743,0.9219682340307666,0.5481177676374049,0.5943990351905558,0.6379540503961693,0.6576536938022585,0.6841614960918921,0.7828306181019065,0.9220408340548885,0.5535928143215577,0.6110965715281608,0.643042229798046,0.6587182127361917,0.6788711985505008,0.7831041655596207,0.921941326355843,0.5475228258745249,0.6061801445917541,0.6440061546570006,0.6600953380771883,0.6796863862650485,0.7824181312202758,0.9219294012069106,0.5446694460491863,0.6063324537759,0.648698099879644,0.6651001632380852,0.6809475716646086,0.7823402315510235,0.9216912943506144,0.5493574765858132,0.6004538779369378,0.6399943249837372,0.6614842121635071,0.6802225273258095,0.7816139458796748,0.9218434651413281,0.551082647098844,0.6064654020339111,0.6387046151151501,0.6717916535427411,0.6825538779376354,0.7836304267227145,0.9219056932249738,0.5558885225753694,0.6081027926601266,0.6435615665885205,0.6661077843811504,0.6816570124127133,0.7825507858865156,0.9219783115016845,0.5450733752124097,0.6005130281665748,0.6435804829186529,0.6617315228509263,0.6825543729254885,0.7825763690168691,0.9218510345301263,0.5476510066616954,0.6188620420388921,0.6358749469015251,0.652405560179157,0.6856732570468467,0.7834774166911943,0.9220112391648564,0.5534213684976584,0.5988263536443429,0.6431312355601675,0.6644990365588762,0.6815453664905375,0.7824599689910343,0.9218718988480427,0.5548948512918022,0.6063023533604673,0.6383727476977996,0.6624304376498165,0.683875530360193,0.7826848065369598,0.9217944037641325,0.5617311397160976,0.6126806404916397,0.6393876528579686,0.6614987079603549,0.6746616047327898,0.7831458408846654,0.9220710891111592,0.553662182311937,0.5948677037128468,0.6521923620433836,0.6651491553351798,0.6818818257691175,0.782826154241431,0.921570923420846,0.5520863728710793,0.6159807589024542,0.6309248554413717,0.659341547112206,0.6810086653998637,0.7844478119875388,0.9218412019671377,0.5525835865764681,0.6067415729837617,0.6449671006080354,0.6660518823925808,0.6771558459508598,0.7833939519929242,0.9219539634216192,0.5528989838115226,0.6039057238557624,0.6428111357118814,0.6688870385289698,0.6804247151337556,0.7838871683620467,0.9217980074878872,0.5682897861735179,0.6091160220495012,0.637252832263029,0.664801790231335,0.6779799558814927,0.7822989938062914,0.9220459332244455,0.5536004731129455,0.5978947367921315,0.6440276130872051,0.6631633424397668,0.6807409232869865,0.7827704096469953,0.9220202295836807,0.5410390408356028,0.6031096562512084,0.6371163454175716,0.663593017249147,0.6804977777277929,0.7822558927191331,0.9220344947675604,0.5440806044842769,0.5991236223109567,0.6335368849082751,0.6643157683330969,0.6784178241056913,0.7821751751277185,0.9220204961840189,0.539467749160897,0.595453948182845,0.6310625174717991,0.6609872610965175,0.6798966151603291,0.7822931154990342,0.9219751222842372,0.5639449809277769,0.5994894531275119,0.6427556817682012,0.659385501630289,0.6799093548115718,0.7835575256811742,0.9218026279719949,0.5429234338248983,0.603258709712911,0.6473852128783157,0.6647384911527207,0.6756756756256974,0.7827464321957763,0.9219329442613533,0.5540240106217006,0.6051810660018376,0.6405497307519517,0.6601980673891664,0.6820346664750414,0.7831018671498141,0.9220550722577783,0.5425790753760409,0.6046022353215094,0.6395167021533203,0.6658246832195416,0.6840666607383034,0.7819590551321826,0.9220401158559121,0.5365108462686522,0.6074628861343315,0.6462991250715405,0.6641974314086146,0.6811339821849984,0.7822555737979033,0.9218293841580261,0.5637721481417498,0.6132723111628654,0.6388445347155975,0.6620739375476437,0.6819967929580735,0.7826496430871365,0.9219247588388683,0.5447459151054099,0.606333642456997,0.6513710128207588,0.6591454632241441,0.6832663705709983,0.7818769039041122,0.9219193084091394,0.5524695991095141,0.5994420087184784,0.6431957612439699,0.6643053915281333,0.679896797857695,0.7824314533321782,0.9218943319510793,0.5499925272257682,0.5991282524926632,0.6435752650650286,0.6607114244012153,0.6830885497860358,0.7823049643989921,0.9220191779617769,0.5520131716311293,0.5963180362360601,0.6395511920958906,0.6612287123485486,0.6868746938561178,0.7814669961104449,0.9218742849499842,0.5556889822378449,0.6139462406979721,0.6358816963785945,0.6626768657103923,0.6836516545728851,0.7833481742553042,0.921903317072288,0.5364985162706921,0.6190163933926357,0.6457653567382375,0.6634892662108238,0.6808420156846527,0.7843495753310125,0.9220694431531471,0.5566343041574231,0.6101605685207194,0.6457194268999801,0.6627181046402614,0.6831024635459166,0.7822379038943608,0.9219177723391059,0.5476577507999757,0.6028378198678098,0.637732885951908,0.6642851472072913,0.6795467341842462,0.7833887738164479,0.9219321594927974,0.5460616177982311,0.5976031956890844,0.6445569971053717,0.6649988086228812,0.683759485412941,0.7826297529725373,0.9220666732049044,0.5544672009000299,0.6102403343283368,0.6461366961111463,0.665552371806111,0.6811397077806457,0.7832936797938276,0.9216957438321668,0.5535000739475903,0.602728623481053,0.6411652407051877,0.664841182863483,0.6805962853850067,0.7836544934399975,0.9220358644406581,0.5475385745277555,0.6096664397050034,0.6383037886187651,0.6704572189916601,0.6813015337739351,0.7845131528981105,0.9217936690666312,0.5590769679655473,0.6050578422960292,0.6372799545212858,0.6590473145280252,0.6799480602143353,0.782493954238587,0.9218262859030014,0.551920768257583,0.6101876675103718,0.6411349499814888,0.6645305211424734,0.6812006430254705,0.783641160899869,0.9218983577927383,0.5465745191811096,0.5958417169185292,0.6368817279455273,0.6609145128724772,0.6796986644054817,0.7826036014884231,0.9220847231062189,0.5750808109993901,0.6082640192685154,0.6407971369930774,0.663267744712226,0.6816812053425626,0.7824116370560364,0.9219706477088041,0.5376600178127935,0.6090436173970392,0.6433684210026703,0.6612039079235429,0.6782954686250857,0.7829394185862413,0.9217314070727107,0.5507981500322767,0.6134082697212319,0.6423419006433636,0.6642028293888902,0.6814496051850956,0.7825139276858201,0.9218281832169528,0.555963033542737,0.5990734612339407,0.6397723229667363,0.6604054979547672,0.6800685566878557,0.7847380815035574,0.9219418590980332,0.5539112050242505,0.6130014563250074,0.6457892509022083,0.6706706706206775,0.6845477364382829,0.783547838644693,0.9215583479427358,0.5458119140720106,0.5985090521332058,0.6436829641511794,0.6668801536606813,0.6795628375830602,0.7824663189804164,0.9219522182030521,0.5540740740243016,0.5932646047610155,0.644240282635546,0.6676128523056253,0.6828212437468668,0.7839536449428219,0.9219561496129139,0.5544318857325894,0.5990073144746323,0.6539456209747296,0.6700028023039917,0.6786168858218952,0.7825965169106553,0.9219216216495999,0.5588278821464827,0.6057794273095439,0.6427671194011072,0.6630960051046528,0.679670076766896,0.7817127875844309,0.9220388960365722,0.5472096530423178,0.60918635165608,0.6435913571977577,0.6609095230049934,0.6799475845937359,0.7826543270702553,0.9219538343407119,0.5563484983148005,0.6026200872862948,0.6364726630893794,0.6612080217845886,0.6817728123898226,0.7832299208420229,0.9219258492627245,0.546762589878315,0.6113197424393204,0.6329131554622339,0.6607056157454457,0.6812298866157511,0.783710480663854,0.9221019069328809,0.5446481371471404,0.6006134150720427,0.6456559971361008,0.6653662419882302,0.6784667057131984,0.7817924996000529,0.9220563202330768,0.5564281558547918,0.605332629305884,0.6416701577492072,0.6629506640866287,0.6827106433570399,0.7834863827333959,0.9220797412546796,0.5532906231302244,0.6001365187213804,0.6455437159898401,0.6659161271664454,0.6813768445642695,0.7835234705792617,0.9220106465166699,0.545508361649227,0.6036560595302666,0.6369936414446319,0.6634916854681271,0.6796633007917686,0.7828108747027092,0.9217594583747458,0.5465800996029669,0.6132910555716456,0.6370527806797535,0.6632186194049656,0.6798612813456116,0.7824707726902347,0.922272319931486,0.5556047850632558,0.5984858546452432,0.646575723780773,0.6639813098670314,0.6803152394789281,0.783979676037648,0.9219554551625492,0.5375398149056039,0.6117585438808932,0.6393326734973243,0.6639789237884319,0.6779086995901809,0.782761473743887,0.9218929686129884,0.553514144015691,0.6115389811687697,0.6406382377359588,0.6632032539470313,0.682111179365143,0.7835892269780728,0.9218446444061963,0.5383211678335883,0.6100506427237291,0.6467158411864249,0.6597979473521947,0.6799133329310464,0.7830835674122811,0.9218343493982255,0.5410325275539435,0.6043721673720615,0.6396653885871766,0.660987261096507,0.6825610663519761,0.7815691221131835,0.9220570680322493,0.5530791788360595,0.6034826531469085,0.6462961664648527,0.6634340222075576,0.6809145128724741,0.7828494435553471,0.9217961999250731,0.5433338254339215,0.5992750704292913,0.646576117663688,0.6674615475832586,0.6836271060087485,0.7835235902954106,0.9219410249606986,0.5469097376115176,0.6066196418382732,0.6369014084007237,0.663127030618056,0.6811460586004223,0.7824298836868913,0.9219474741025301,0.5417527293688953,0.5951999999500207,0.646024412059534,0.664325057824998,0.6798207548340945,0.783404580375746,0.9218522876530835,0.559928175919198,0.6169154228355971,0.6370961990515034,0.6618705035471357,0.678855467932075,0.7812623570540441,0.9219598680652922,0.5501040736939388,0.6034575904416543,0.6366492146097148,0.6553784860058074,0.6794039382150491,0.7837626694079912,0.922054076322555,0.5444785275575679,0.6122987595172091,0.639364990115797,0.6558930063584814,0.6788813206814897,0.7813488699525717,0.9219173865616066,0.5399321615289763,0.610094142209456,0.6453173924920237,0.6613927843201446,0.6792226359975343,0.7831917974005739,0.921961553016962,0.5344932844435061,0.6110965715281459,0.6485806180453911,0.6581785742748858,0.6790928419060775,0.7847364748916138,0.9219073991910838,0.5559891923848961,0.6030017266069417,0.6470962721435799,0.6617758462081281,0.68126529242128,0.7834814007929837,0.9217775733771509,0.5487990270102675,0.6104481569375856,0.6414508502781522,0.6602832634648962,0.6818423194883714,0.7823618441471393,0.9220351968830933,0.541585493731283,0.5962001605066354,0.6420217209191258,0.6660226220165947,0.6781271688144664,0.7837710770920225,0.921948798654844,0.5438491469122766,0.6144752396715568,0.635735439239267,0.6671406002659719,0.6794444837592729,0.7841431639454768,0.9220081686749433,0.5644724976958982,0.597719437764943,0.6494345718401854,0.6628976389992646,0.6816272267513969,0.7827561140010079,0.9218304494466588,0.5449970396188533,0.6067089275781264,0.6362475162713322,0.6639470869633605,0.6809728182618854,0.7833602988337804,0.9221430898100794,0.559574782174004,0.6005941128314771,0.6480163483398601,0.666177095764174,0.6797645197637375,0.7825583825195983,0.9217191717867284,0.5572619569490309,0.5946092373874087,0.6504760590089492,0.6586864831795867,0.678615574733695,0.7824849640849845,0.9216532369124297,0.546848642796482,0.6171823130558663,0.6420638267460539,0.6650651753920604,0.6786073514120152,0.7820965541358428,0.922082653650013,0.5448223733440606,0.6072032244982217,0.6437675523371582,0.6709565354203901,0.682395387449575,0.7821170322469138,0.9218409195563806,0.5563527652718151,0.6133574473082902,0.6405851100031751,0.6654857280389238,0.6770177547777719,0.782955684832752,0.9219941358966569,0.5556989246814744,0.619242579274512,0.6441273634138848,0.6553989866504584,0.6811493885164809,0.7834188185981031,0.921940219773854,0.552818991048107,0.6032082725206243,0.6412873953845887,0.6590527912606161,0.6832289418241471,0.7830922852277094,0.9220253707514421,0.5430932703163454,0.6008886565104026,0.6415597166202062,0.6623918174165696,0.6800299336682122,0.7809270574500655,0.9218138634574712,0.5548561150581709,0.5976178145538735,0.6457102671792798,0.665489283083994,0.6765530918401651,0.7827746131878136,0.9219523359440501,0.549753104843339,0.5974440894068916,0.6409831537749343,0.6677397824477498,0.681209541494752,0.7818264179637641,0.9218313427467937,0.539274924421578,0.5955204215574013,0.6479475484106968,0.6595214553583626,0.6806991366866716,0.7832708934688508,0.9219182531781233],\\\"y0\\\":\\\" \\\",\\\"yaxis\\\":\\\"y\\\"}],\\\"layout\\\":{\\\"boxmode\\\":\\\"group\\\",\\\"legend\\\":{\\\"title\\\":{\\\"text\\\":\\\"type\\\"},\\\"tracegroupgap\\\":0},\\\"margin\\\":{\\\"t\\\":60},\\\"template\\\":{\\\"data\\\":{\\\"bar\\\":[{\\\"error_x\\\":{\\\"color\\\":\\\"rgb(36,36,36)\\\"},\\\"error_y\\\":{\\\"color\\\":\\\"rgb(36,36,36)\\\"},\\\"marker\\\":{\\\"line\\\":{\\\"color\\\":\\\"white\\\",\\\"width\\\":0.5}},\\\"type\\\":\\\"bar\\\"}],\\\"barpolar\\\":[{\\\"marker\\\":{\\\"line\\\":{\\\"color\\\":\\\"white\\\",\\\"width\\\":0.5}},\\\"type\\\":\\\"barpolar\\\"}],\\\"carpet\\\":[{\\\"aaxis\\\":{\\\"endlinecolor\\\":\\\"rgb(36,36,36)\\\",\\\"gridcolor\\\":\\\"white\\\",\\\"linecolor\\\":\\\"white\\\",\\\"minorgridcolor\\\":\\\"white\\\",\\\"startlinecolor\\\":\\\"rgb(36,36,36)\\\"},\\\"baxis\\\":{\\\"endlinecolor\\\":\\\"rgb(36,36,36)\\\",\\\"gridcolor\\\":\\\"white\\\",\\\"linecolor\\\":\\\"white\\\",\\\"minorgridcolor\\\":\\\"white\\\",\\\"startlinecolor\\\":\\\"rgb(36,36,36)\\\"},\\\"type\\\":\\\"carpet\\\"}],\\\"choropleth\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"type\\\":\\\"choropleth\\\"}],\\\"contour\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"colorscale\\\":[[0.0,\\\"#440154\\\"],[0.1111111111111111,\\\"#482878\\\"],[0.2222222222222222,\\\"#3e4989\\\"],[0.3333333333333333,\\\"#31688e\\\"],[0.4444444444444444,\\\"#26828e\\\"],[0.5555555555555556,\\\"#1f9e89\\\"],[0.6666666666666666,\\\"#35b779\\\"],[0.7777777777777778,\\\"#6ece58\\\"],[0.8888888888888888,\\\"#b5de2b\\\"],[1.0,\\\"#fde725\\\"]],\\\"type\\\":\\\"contour\\\"}],\\\"contourcarpet\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"type\\\":\\\"contourcarpet\\\"}],\\\"heatmap\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"colorscale\\\":[[0.0,\\\"#440154\\\"],[0.1111111111111111,\\\"#482878\\\"],[0.2222222222222222,\\\"#3e4989\\\"],[0.3333333333333333,\\\"#31688e\\\"],[0.4444444444444444,\\\"#26828e\\\"],[0.5555555555555556,\\\"#1f9e89\\\"],[0.6666666666666666,\\\"#35b779\\\"],[0.7777777777777778,\\\"#6ece58\\\"],[0.8888888888888888,\\\"#b5de2b\\\"],[1.0,\\\"#fde725\\\"]],\\\"type\\\":\\\"heatmap\\\"}],\\\"heatmapgl\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"colorscale\\\":[[0.0,\\\"#440154\\\"],[0.1111111111111111,\\\"#482878\\\"],[0.2222222222222222,\\\"#3e4989\\\"],[0.3333333333333333,\\\"#31688e\\\"],[0.4444444444444444,\\\"#26828e\\\"],[0.5555555555555556,\\\"#1f9e89\\\"],[0.6666666666666666,\\\"#35b779\\\"],[0.7777777777777778,\\\"#6ece58\\\"],[0.8888888888888888,\\\"#b5de2b\\\"],[1.0,\\\"#fde725\\\"]],\\\"type\\\":\\\"heatmapgl\\\"}],\\\"histogram\\\":[{\\\"marker\\\":{\\\"line\\\":{\\\"color\\\":\\\"white\\\",\\\"width\\\":0.6}},\\\"type\\\":\\\"histogram\\\"}],\\\"histogram2d\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"colorscale\\\":[[0.0,\\\"#440154\\\"],[0.1111111111111111,\\\"#482878\\\"],[0.2222222222222222,\\\"#3e4989\\\"],[0.3333333333333333,\\\"#31688e\\\"],[0.4444444444444444,\\\"#26828e\\\"],[0.5555555555555556,\\\"#1f9e89\\\"],[0.6666666666666666,\\\"#35b779\\\"],[0.7777777777777778,\\\"#6ece58\\\"],[0.8888888888888888,\\\"#b5de2b\\\"],[1.0,\\\"#fde725\\\"]],\\\"type\\\":\\\"histogram2d\\\"}],\\\"histogram2dcontour\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"colorscale\\\":[[0.0,\\\"#440154\\\"],[0.1111111111111111,\\\"#482878\\\"],[0.2222222222222222,\\\"#3e4989\\\"],[0.3333333333333333,\\\"#31688e\\\"],[0.4444444444444444,\\\"#26828e\\\"],[0.5555555555555556,\\\"#1f9e89\\\"],[0.6666666666666666,\\\"#35b779\\\"],[0.7777777777777778,\\\"#6ece58\\\"],[0.8888888888888888,\\\"#b5de2b\\\"],[1.0,\\\"#fde725\\\"]],\\\"type\\\":\\\"histogram2dcontour\\\"}],\\\"mesh3d\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"type\\\":\\\"mesh3d\\\"}],\\\"parcoords\\\":[{\\\"line\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"parcoords\\\"}],\\\"pie\\\":[{\\\"automargin\\\":true,\\\"type\\\":\\\"pie\\\"}],\\\"scatter\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scatter\\\"}],\\\"scatter3d\\\":[{\\\"line\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scatter3d\\\"}],\\\"scattercarpet\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scattercarpet\\\"}],\\\"scattergeo\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scattergeo\\\"}],\\\"scattergl\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scattergl\\\"}],\\\"scattermapbox\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scattermapbox\\\"}],\\\"scatterpolar\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scatterpolar\\\"}],\\\"scatterpolargl\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scatterpolargl\\\"}],\\\"scatterternary\\\":[{\\\"marker\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"type\\\":\\\"scatterternary\\\"}],\\\"surface\\\":[{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"},\\\"colorscale\\\":[[0.0,\\\"#440154\\\"],[0.1111111111111111,\\\"#482878\\\"],[0.2222222222222222,\\\"#3e4989\\\"],[0.3333333333333333,\\\"#31688e\\\"],[0.4444444444444444,\\\"#26828e\\\"],[0.5555555555555556,\\\"#1f9e89\\\"],[0.6666666666666666,\\\"#35b779\\\"],[0.7777777777777778,\\\"#6ece58\\\"],[0.8888888888888888,\\\"#b5de2b\\\"],[1.0,\\\"#fde725\\\"]],\\\"type\\\":\\\"surface\\\"}],\\\"table\\\":[{\\\"cells\\\":{\\\"fill\\\":{\\\"color\\\":\\\"rgb(237,237,237)\\\"},\\\"line\\\":{\\\"color\\\":\\\"white\\\"}},\\\"header\\\":{\\\"fill\\\":{\\\"color\\\":\\\"rgb(217,217,217)\\\"},\\\"line\\\":{\\\"color\\\":\\\"white\\\"}},\\\"type\\\":\\\"table\\\"}]},\\\"layout\\\":{\\\"annotationdefaults\\\":{\\\"arrowhead\\\":0,\\\"arrowwidth\\\":1},\\\"coloraxis\\\":{\\\"colorbar\\\":{\\\"outlinewidth\\\":1,\\\"tickcolor\\\":\\\"rgb(36,36,36)\\\",\\\"ticks\\\":\\\"outside\\\"}},\\\"colorscale\\\":{\\\"diverging\\\":[[0.0,\\\"rgb(103,0,31)\\\"],[0.1,\\\"rgb(178,24,43)\\\"],[0.2,\\\"rgb(214,96,77)\\\"],[0.3,\\\"rgb(244,165,130)\\\"],[0.4,\\\"rgb(253,219,199)\\\"],[0.5,\\\"rgb(247,247,247)\\\"],[0.6,\\\"rgb(209,229,240)\\\"],[0.7,\\\"rgb(146,197,222)\\\"],[0.8,\\\"rgb(67,147,195)\\\"],[0.9,\\\"rgb(33,102,172)\\\"],[1.0,\\\"rgb(5,48,97)\\\"]],\\\"sequential\\\":[[0.0,\\\"#440154\\\"],[0.1111111111111111,\\\"#482878\\\"],[0.2222222222222222,\\\"#3e4989\\\"],[0.3333333333333333,\\\"#31688e\\\"],[0.4444444444444444,\\\"#26828e\\\"],[0.5555555555555556,\\\"#1f9e89\\\"],[0.6666666666666666,\\\"#35b779\\\"],[0.7777777777777778,\\\"#6ece58\\\"],[0.8888888888888888,\\\"#b5de2b\\\"],[1.0,\\\"#fde725\\\"]],\\\"sequentialminus\\\":[[0.0,\\\"#440154\\\"],[0.1111111111111111,\\\"#482878\\\"],[0.2222222222222222,\\\"#3e4989\\\"],[0.3333333333333333,\\\"#31688e\\\"],[0.4444444444444444,\\\"#26828e\\\"],[0.5555555555555556,\\\"#1f9e89\\\"],[0.6666666666666666,\\\"#35b779\\\"],[0.7777777777777778,\\\"#6ece58\\\"],[0.8888888888888888,\\\"#b5de2b\\\"],[1.0,\\\"#fde725\\\"]]},\\\"colorway\\\":[\\\"#1F77B4\\\",\\\"#FF7F0E\\\",\\\"#2CA02C\\\",\\\"#D62728\\\",\\\"#9467BD\\\",\\\"#8C564B\\\",\\\"#E377C2\\\",\\\"#7F7F7F\\\",\\\"#BCBD22\\\",\\\"#17BECF\\\"],\\\"font\\\":{\\\"color\\\":\\\"rgb(36,36,36)\\\"},\\\"geo\\\":{\\\"bgcolor\\\":\\\"white\\\",\\\"lakecolor\\\":\\\"white\\\",\\\"landcolor\\\":\\\"white\\\",\\\"showlakes\\\":true,\\\"showland\\\":true,\\\"subunitcolor\\\":\\\"white\\\"},\\\"hoverlabel\\\":{\\\"align\\\":\\\"left\\\"},\\\"hovermode\\\":\\\"closest\\\",\\\"mapbox\\\":{\\\"style\\\":\\\"light\\\"},\\\"paper_bgcolor\\\":\\\"white\\\",\\\"plot_bgcolor\\\":\\\"white\\\",\\\"polar\\\":{\\\"angularaxis\\\":{\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\"},\\\"bgcolor\\\":\\\"white\\\",\\\"radialaxis\\\":{\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\"}},\\\"scene\\\":{\\\"xaxis\\\":{\\\"backgroundcolor\\\":\\\"white\\\",\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"gridwidth\\\":2,\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showbackground\\\":true,\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\",\\\"zeroline\\\":false,\\\"zerolinecolor\\\":\\\"rgb(36,36,36)\\\"},\\\"yaxis\\\":{\\\"backgroundcolor\\\":\\\"white\\\",\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"gridwidth\\\":2,\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showbackground\\\":true,\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\",\\\"zeroline\\\":false,\\\"zerolinecolor\\\":\\\"rgb(36,36,36)\\\"},\\\"zaxis\\\":{\\\"backgroundcolor\\\":\\\"white\\\",\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"gridwidth\\\":2,\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showbackground\\\":true,\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\",\\\"zeroline\\\":false,\\\"zerolinecolor\\\":\\\"rgb(36,36,36)\\\"}},\\\"shapedefaults\\\":{\\\"fillcolor\\\":\\\"black\\\",\\\"line\\\":{\\\"width\\\":0},\\\"opacity\\\":0.3},\\\"ternary\\\":{\\\"aaxis\\\":{\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\"},\\\"baxis\\\":{\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\"},\\\"bgcolor\\\":\\\"white\\\",\\\"caxis\\\":{\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\"}},\\\"title\\\":{\\\"x\\\":0.05},\\\"xaxis\\\":{\\\"automargin\\\":true,\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\",\\\"title\\\":{\\\"standoff\\\":15},\\\"zeroline\\\":false,\\\"zerolinecolor\\\":\\\"rgb(36,36,36)\\\"},\\\"yaxis\\\":{\\\"automargin\\\":true,\\\"gridcolor\\\":\\\"rgb(232,232,232)\\\",\\\"linecolor\\\":\\\"rgb(36,36,36)\\\",\\\"showgrid\\\":false,\\\"showline\\\":true,\\\"ticks\\\":\\\"outside\\\",\\\"title\\\":{\\\"standoff\\\":15},\\\"zeroline\\\":false,\\\"zerolinecolor\\\":\\\"rgb(36,36,36)\\\"}}},\\\"width\\\":700,\\\"xaxis\\\":{\\\"anchor\\\":\\\"y\\\",\\\"domain\\\":[0.0,1.0],\\\"title\\\":{\\\"text\\\":\\\"Number of training examples per label\\\"}},\\\"yaxis\\\":{\\\"anchor\\\":\\\"x\\\",\\\"domain\\\":[0.0,1.0],\\\"title\\\":{\\\"text\\\":\\\"F1\\\"}}}}'\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 55\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"vm5xO2aJsvDl\",\n        \"colab\": {\n          \"base_uri\": \"https://localhost:8080/\",\n          \"height\": 174\n        },\n        \"outputId\": \"13bb589e-2329-4ae1-d77f-727b808ebf10\"\n      },\n      \"source\": [\n        \"curves = [\\n\",\n        \"    ensembled_prs, non_ensembled_prs, blast_and_cnn_ensemble_prs, blast_prs\\n\",\n        \"]\\n\",\n        \"dfs = []\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def create_f1(single_curve):\\n\",\n        \"\\n\",\n        \"    return pd.DataFrame(\\n\",\n        \"        {\\n\",\n        \"            \\\"type\\\": single_curve.type.to_list()[0],\\n\",\n        \"            \\\"group\\\": single_curve.group.to_list()[0],\\n\",\n        \"            \\\"f1\\\": single_curve.f1.max()\\n\",\n        \"        },\\n\",\n        \"        index=[0])\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"for curve_set in curves:\\n\",\n        \"    for c2 in curve_set:\\n\",\n        \"        for group_name, df_group in c2.groupby(\\\"group\\\"):\\n\",\n        \"            dfs.append(create_f1(df_group.query(\\\"precision>0\\\")))\\n\",\n        \"f1 = pd.concat(dfs)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def lower_func(x):\\n\",\n        \"    return x.quantile(0.025)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"def upper_func(x):\\n\",\n        \"    return x.quantile(0.975)\\n\",\n        \"\\n\",\n        \"\\n\",\n        \"f1_data = f1.groupby(['type',\\n\",\n        \"                      'group']).agg(lower=(\\\"f1\\\", lower_func),\\n\",\n        \"                                    upper=(\\\"f1\\\", upper_func)).reset_index()\\n\",\n        \"f1_data\"\n      ],\n      \"execution_count\": 61,\n      \"outputs\": [\n        {\n          \"output_type\": \"execute_result\",\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>type</th>\\n\",\n              \"      <th>group</th>\\n\",\n              \"      <th>lower</th>\\n\",\n              \"      <th>upper</th>\\n\",\n              \"    </tr>\\n\",\n              \"  </thead>\\n\",\n              \"  <tbody>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>0</th>\\n\",\n              \"      <td>Blast</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.899690</td>\\n\",\n              \"      <td>0.904512</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>1</th>\\n\",\n              \"      <td>Blast/CNN-ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.905858</td>\\n\",\n              \"      <td>0.910567</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>2</th>\\n\",\n              \"      <td>CNN</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.882438</td>\\n\",\n              \"      <td>0.887224</td>\\n\",\n              \"    </tr>\\n\",\n              \"    <tr>\\n\",\n              \"      <th>3</th>\\n\",\n              \"      <td>Ensemble</td>\\n\",\n              \"      <td>all</td>\\n\",\n              \"      <td>0.897309</td>\\n\",\n              \"      <td>0.901293</td>\\n\",\n              \"    </tr>\\n\",\n              \"  </tbody>\\n\",\n              \"</table>\\n\",\n              \"</div>\"\n            ],\n            \"text/plain\": [\n              \"                 type group     lower     upper\\n\",\n              \"0               Blast   all  0.899690  0.904512\\n\",\n              \"1  Blast/CNN-ensemble   all  0.905858  0.910567\\n\",\n              \"2                 CNN   all  0.882438  0.887224\\n\",\n              \"3            Ensemble   all  0.897309  0.901293\"\n            ]\n          },\n          \"metadata\": {},\n          \"execution_count\": 61\n        }\n      ]\n    },\n    {\n      \"cell_type\": \"code\",\n      \"metadata\": {\n        \"id\": \"sRpW412LIdbU\"\n      },\n      \"source\": [\n        \"\"\n      ],\n      \"execution_count\": null,\n      \"outputs\": []\n    }\n  ]\n}"
  },
  {
    "path": "evaluation.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Evaluation utilities for uniprot predictions.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport copy\nimport itertools\nfrom typing import Dict, FrozenSet, List, Optional, Sequence, Set, Text, Tuple, Union\n\nimport numpy as np\nimport pandas as pd\nfrom pandas.core.groupby.generic import DataFrameGroupBy as pd_DataFrameGroupBy\nimport inference\nimport parenthood_lib\nimport sklearn.metrics\nimport tqdm\n\nFALSE_NEGATIVES_KEY = 'false_negatives'\nFALSE_POSITIVES_KEY = 'false_positives'\nTRUE_POSITIVES_KEY = 'true_positives'\n\nPrecisionRecallF1 = Tuple[float, float, float]\n\n\ndef normalize_confidences(\n    predictions, label_vocab,\n    applicable_label_dict):\n  \"\"\"Set confidences of parent labels to the max of their children.\n\n  Args:\n    predictions: [num_sequences, num_labels] ndarray.\n    label_vocab: list of vocab strings in an order that corresponds to\n      `predictions`.\n    applicable_label_dict: Mapping from labels to their parents (including\n      indirect parents).\n\n  Returns:\n    A numpy array [num_sequences, num_labels] with confidences where:\n    if label_vocab[k] in applicable_label_dict[label_vocab[j]],\n    then arr[i, j] >= arr[i, k] for all i.\n  \"\"\"\n  vocab_indices = {v: i for i, v in enumerate(label_vocab)}\n  children = parenthood_lib.reverse_map(applicable_label_dict,\n                                        set(vocab_indices.keys()))\n\n  # Only vectorize this along the sequences dimension as the number of children\n  # varies between labels.\n  label_confidences = []\n  for label in label_vocab:\n    child_indices = np.array(\n        [vocab_indices[child] for child in children[label]])\n    if child_indices.size > 1:\n      confidences = np.max(predictions[:, child_indices], axis=1)\n      label_confidences.append(confidences)\n    else:\n      label_confidences.append(predictions[:, vocab_indices[label]])\n\n  return np.stack(label_confidences, axis=1)\n\n\ndef get_ground_truth_multihots(label_sets,\n                               label_vocab):\n  \"\"\"Get a multihot matrix from label sets and a vocab.\"\"\"\n  vocab_indices = {v: i for i, v in enumerate(label_vocab)}\n  ground_truths = []\n  for s in label_sets:\n    indices = np.array([vocab_indices[v] for v in s], dtype=np.int32)\n    multihots = np.zeros([len(label_vocab)])\n    multihots[indices] = 1\n    ground_truths.append(multihots)\n  return np.vstack(ground_truths)\n\n\ndef get_pr_f1_df_from_arrays(\n    ground_truths,\n    normalized_predictions,\n    prediction_precision_limit = None,\n):\n  \"\"\"Convenience method for making a PR curve dataframe.\n\n  Args:\n    ground_truths: multihot array of shape (num_examples, num_labels).\n    normalized_predictions: array of shape (num_samples, num_labels).\n    prediction_precision_limit: Used to truncate the predictions to a fixed\n      level of precision. Predictions are truncated to\n      `prediction_precision_limit` number of decimal places. This argument is\n      useful to increase the speed of computation, and also to decrease the size\n      of the dataframe returned. If None, no truncation is performed.\n\n  Returns:\n    pd.DataFrame with columns precision (float); recall (float);\n    threshold (float); f1 (float).\n  \"\"\"\n  if prediction_precision_limit:\n    normalized_predictions = np.around(normalized_predictions,\n                                       prediction_precision_limit)\n\n  precisions, recalls, thresholds = sklearn.metrics.precision_recall_curve(\n      ground_truths.flatten(), normalized_predictions.flatten())\n  # Throw away last precision and recall as they are always 0 and 1\n  # respectively, and have no associated threshold\n  precisions = precisions[:-1]\n  recalls = recalls[:-1]\n  f1s = 2 * (precisions * recalls) / (precisions + recalls)\n\n  return pd.DataFrame(\n      data={\n          'precision': precisions,\n          'recall': recalls,\n          'threshold': thresholds,\n          'f1': f1s\n      })\n\n\ndef get_pr_f1_df(\n    prediction_df,\n    label_vocab,\n    label_normalizer,\n    eval_vocab = None,\n\n    prediction_precision_limit = 18,\n):\n  \"\"\"Make a dataframe with each possible threshold and it's corresponding values.\n\n  Args:\n    prediction_df: A dataframe with columns `predictions` and `true_label`.\n    label_vocab: A list of labels.\n    label_normalizer: A mapping from labels to their children.\n    eval_vocab: An optional subset of `label_vocab` on which to restrict\n      analysis.\n    prediction_precision_limit: Used to truncate the predictions to a fixed\n      level of precision. Predictions are truncated to\n      `prediction_precision_limit` number of decimal places. This argument is\n      useful to increase the speed of computation, and also to decrease\n      the size of the dataframe returned. If None, no truncation is performed.\n\n  Returns:\n    A dataframe with 4 columns; precision, recall, f1, and threshold. At each\n    threshold precision, recall, and f1 are calculated relative to the\n    normalized confidences and true labels given in `prediction_df`.\n  \"\"\"\n  if not eval_vocab:\n    eval_vocab = set(label_vocab)\n  label_vocab = np.array(label_vocab)\n\n  prediction_array = np.vstack(prediction_df.predictions)\n  normalized_predictions = normalize_confidences(prediction_array, label_vocab,\n                                                 label_normalizer)\n  true_label_sets = prediction_df.true_label.apply(\n      eval_vocab.intersection).values\n  eval_indices = np.array(\n      [i for i, v in enumerate(label_vocab) if v in eval_vocab])\n  ground_truths = get_ground_truth_multihots(true_label_sets,\n                                             label_vocab[eval_indices])\n  return get_pr_f1_df_from_arrays(ground_truths,\n                                  normalized_predictions[:, eval_indices],\n                                  prediction_precision_limit)\n\n\ndef true_false_positive_negative_df(df):\n  \"\"\"Computes df of all example/label pairs, and whether they were correct.\n\n  Args:\n    df: pd.Dataframe that has columns: true_label. Contains a set of true\n      labels. predicted_label. Contains a set of true labels. sequence_name.\n      string. Accession.\n\n  Returns:\n    pd.DataFrame that has columns:\n      sequence_name. string. Name of sequence (accession).\n      class. string. Class name. Either predicted or true.\n      predicted. np.bool. Whether the class was predicted for the sequence.\n      true. np.bool. Whether the class label is true for the sequence.\n      true_positive. Whether the prediction is a true positive.\n      false_positive. Whether the prediction is a false positive.\n      false_negative. Whether the prediction is a false negative.\n  \"\"\"\n  dict_prep_for_df = {\n      'sequence_name': [],\n      'class': [],\n      'predicted': [],\n      'true': []\n  }\n\n  for _, row in tqdm.tqdm(df.iterrows(), position=0, total=len(df)):\n    all_classes = row.predicted_label.union(row.true_label)\n    for cls in all_classes:\n      dict_prep_for_df['sequence_name'].append(row.sequence_name)\n      dict_prep_for_df['class'].append(cls)\n      dict_prep_for_df['predicted'].append(cls in row.predicted_label)\n      dict_prep_for_df['true'].append(cls in row.true_label)\n\n  working_df = pd.DataFrame(dict_prep_for_df)\n\n  working_df.predicted = working_df.predicted.astype(np.bool)\n  working_df.true = working_df.true.astype(np.bool)\n\n  working_df['true_positive'] = working_df.predicted & working_df.true\n  working_df['false_positive'] = working_df.predicted & ~working_df.true\n  working_df['false_negative'] = ~working_df.predicted & working_df.true\n\n  return working_df\n\n\ndef multilabel_precision_per_example_label_pair(\n    df):\n  \"\"\"Computes precision score of predictions in dataframe.\n\n  Each (example, prediction) pair counts as \"one\" toward the precision. This is\n  different than counting each class equally, or counting each example evenly.\n\n  Args:\n    df: E.g. output of true_false_positive_negative_df that has columns\n      true_positive. bool. false_positive. bool.\n\n  Returns:\n    precision. Does not consider any thresholds.\n  \"\"\"\n  true_positive = df.true_positive.sum().astype(float)\n  false_positive = df.false_positive.sum().astype(float)\n  return true_positive / (true_positive + false_positive)\n\n\ndef multilabel_recall_per_example_label_pair(\n    df):\n  \"\"\"Computes f1 score of predictions in dataframe.\n\n  Each (example, prediction) pair counts as \"one\" toward the recall. This is\n  different than counting each class equally, or counting each example evenly.\n\n  Args:\n    df: E.g. output of true_false_positive_negative_df that has columns\n      true_positive. bool. false_negative. bool.\n\n  Returns:\n    recall. Does not consider any thresholds.\n  \"\"\"\n  true_positive = df.true_positive.sum().astype(float)\n  false_negative = df.false_negative.sum().astype(float)\n  return true_positive / (true_positive + false_negative)\n\n\ndef multilabel_f1_per_example_label_pair(\n    df):\n  \"\"\"Computes f1 score of predictions in dataframe.\n\n  Each (example, prediction) pair counts as \"one\" toward the f1 score. This is\n  different than counting each class equally, or counting each example evenly.\n\n  Args:\n    df: has columns: true_positive. bool. false_positive. bool. false_negative.\n      bool.\n\n  Returns:\n    f1 score. Harmonic mean of precision and recall. Does not consider any\n    thresholds.\n  \"\"\"\n  precision = multilabel_precision_per_example_label_pair(df)\n  recall = multilabel_recall_per_example_label_pair(df)\n  return 2. * (precision * recall) / (precision + recall)\n\n\ndef normalize_predictions(\n    to_normalize,\n    normalize_map):\n  normalized_non_flattened = [normalize_map[e] for e in to_normalize]\n  return frozenset(itertools.chain(*normalized_non_flattened))  # Flatten list.\n\n\ndef precision_recall_f1(\n    df,\n    label_normalizing_dict):\n  \"\"\"Returns precision, recall, and f1 for a dataframe.\n\n  Args:\n    df: pd.DataFrame with columns sequence_name, true__label, and\n      predicted_label.\n    label_normalizing_dict: dictionary of label to implied labels. Used to\n      normalize labels into canonical form (e.g. an obsolete label is normalized\n      into its replacement). See parenthood_lib.get_applicable_label_dict.\n\n  Returns:\n    PrecisionRecallF1.\n  \"\"\"\n  blast_prepped = pd.DataFrame()\n  blast_prepped['sequence_name'] = df.sequence_name\n  blast_prepped['predicted_label'] = df.predicted_label.apply(\n      lambda x: normalize_predictions(x, label_normalizing_dict))\n  blast_prepped['true_label'] = df.true_label\n\n  denormalized = true_false_positive_negative_df(blast_prepped)\n  precision = multilabel_precision_per_example_label_pair(denormalized)\n  recall = multilabel_recall_per_example_label_pair(denormalized)\n  f1 = multilabel_f1_per_example_label_pair(denormalized)\n\n  return precision, recall, f1\n\n\ndef filter_predictions_to_above_threshold(\n    predictions, decision_threshold,\n    label_vocab):\n  \"\"\"Computes predictions above `decision_threshold` for each example.\n\n  Args:\n    predictions: np.array, (2-d) of float. Outer dimension is example, inner\n      dimension is class label. I.e. predictions[2, 3] is the probability that\n      for example 2, the third class is true.\n    decision_threshold: float. Classes with predictions above this threshold\n      will be included in the output.\n    label_vocab: np.array (1-d) of string. List of classes that corresponds to\n      prediction.\n\n  Returns:\n    List of FrozenSet. Outer dimension is the example number within this batch,\n    inner is a set of labels predicted that have confidence over\n    decision_threshold.\n  \"\"\"\n  preds_per_sequence = []\n  for row in predictions:\n    preds_per_sequence.append(\n        frozenset(label_vocab[np.array(row) > decision_threshold]))\n\n  return preds_per_sequence\n\n\ndef get_predictions_above_threshold(\n    input_df,\n    inferrer,\n    decision_threshold,\n    label_vocab = None):\n  \"\"\"Return df of predictions above a threshold for each sequence.\n\n  Args:\n    input_df: pd.DataFrame with columns sequence_name, sequence.\n    inferrer: inferrer from a savedmodel model (see\n      protein_task.MultiDiscreteLabelProteinTask) with activation_type\n      'serving_default'.\n    decision_threshold: float. Classes with predictions above this threshold\n      will be included in the output.\n    label_vocab: A numpy array with the string labels in vocab order. If None,\n      will try to fetch this tensor from `inferrer`.\n\n  Returns:\n    pd.DataFrame with columns sequence_name, sequence, and predicted_label,\n    where the values in column predicted_label are frozenset of labels\n    that had confidences above decision_threshold.\n  \"\"\"\n  if label_vocab is None:\n    label_vocab = inferrer.get_variable('label_vocab:0')\n  working_df = input_df.copy()\n\n  df_with_predictions = inference.predictions_for_df(working_df, inferrer)\n\n  preds_per_sequence = filter_predictions_to_above_threshold(\n      predictions=df_with_predictions['predictions'].values,\n      decision_threshold=decision_threshold,\n      label_vocab=label_vocab)\n\n  df_with_predictions.drop(columns=['predictions'], inplace=True)\n  df_with_predictions['predicted_label'] = preds_per_sequence\n  return df_with_predictions\n\n\ndef _family_and_clan_to_just_clan(\n    family_and_clan):\n  \"\"\"Converts family_and_clan to just a clan if there is one.\n\n  Args:\n    family_and_clan: a set of either just a family, or a family and its\n      associated clan.\n\n  Returns:\n    If family_and_clan is only a family, return family_and_clan. If\n    family_and_clan has a clan, only return the clan.\n\n  Raises:\n    ValueError if len(family_and_clan != 1 or 2.\n    Also raises if len(family-and_clan) == 2 and there's no clan in it.\n  \"\"\"\n  if len(family_and_clan) == 1:\n    return frozenset(family_and_clan)\n  if len(family_and_clan) == 2:\n    for f_or_c in family_and_clan:\n      if f_or_c.startswith('Pfam:CL'):\n        return frozenset([f_or_c])\n    raise ValueError('family_and_clan was length 2, but did not have a clan in '\n                     'it. family_and_clan was {}'.format(family_and_clan))\n\n  raise ValueError('Expected either one or two values for family_and_clan. '\n                   'Was {}'.format(family_and_clan))\n\n\ndef pfam_label_normalizer_to_lifted_clan(\n    label_normalizer):\n  \"\"\"Converts label_normalizer (that may contan EC etc.) to lifted clans.\"\"\"\n  working_dict = copy.deepcopy(label_normalizer)\n  working_dict = {k: v for k, v in working_dict.items() if k.startswith('Pfam')}\n  return {k: _family_and_clan_to_just_clan(v) for k, v in working_dict.items()}\n\n\ndef convert_pfam_ground_truth_to_lifted_clans(\n    ground_truth,\n    label_normalizer):\n  \"\"\"Converts ground truth to only have labels that are lifted clans.\n\n  The label normalizer may be already a lifted clan normalizer or it may be\n  a non-lifted clan normalizer.\n\n  Args:\n    ground_truth: pd.DataFrame with columns sequence_name (str),\n      true_label(Set[str]).\n    label_normalizer: label normalizer. This will be converted to a lifted clan\n      normalizer for use internally.\n\n  Returns:\n    pd.DataFrame with columns sequence_name (str), true_label(FrozenSet[str]).\n  \"\"\"\n  lifted_label_normalizer = pfam_label_normalizer_to_lifted_clan(\n      label_normalizer)\n  working_df = ground_truth.copy()\n  working_df['true_label'] = working_df.true_label.apply(\n      lambda l: normalize_predictions(l, lifted_label_normalizer))\n  return working_df\n\n\ndef _ec_label_at_level(label, level):\n  \"\"\"Return EC label up to and including level, or nan if it's a hyphen.\"\"\"\n  # nan is a useful value for pd.DataFrame that's used to indicate missing\n  # data.\n  label = label.replace('EC:', '')\n  split = label.split('.')\n  if split[level - 1] == '-':\n    return np.nan\n  return '.'.join(split[:level])\n\n\ndef ec_agreement_for_level(df,\n                           level):\n  \"\"\"Returns agreement and disagreement between predictions and truth.\n\n  Computes agreement, disagreement, and no-calls between true labels and\n  predicted labels at level 1, 2, 3, or 4 in the EC hierarchy. If the ground\n  truth label has a dash at this level, this is not included in our analysis\n  of agreement/disagreement, as there's nothing to agree or disagree about.\n\n  See the test for a more exhaustive listing of cases.\n\n  Args:\n    df: pd.DataFrame with columns 'true_label' (str) and 'predicted_label'\n      (str). It's assumed that the input proteins are single-function enzymes,\n      and that true and predicted label are the most specific predictions\n      available (e.g. EC:1.2.3.4 instead of EC:1.2.3.-).\n    level: int between 1 and 4.\n\n  Returns:\n    tuple of ints: [agreement, disagreement, no call made].\n\n  Raises:\n    ValueError if level is not between 1 and 4 inclusive.\n  \"\"\"\n  if not (level >= 1 and level <= 4):\n    raise ValueError(\n        'Expected level to be between 1 and 4. Was {}'.format(level))\n  get_ec_at_level = lambda x: _ec_label_at_level(x, level)\n  true_labels = df.true_label.apply(get_ec_at_level)\n  predicted_labels = df.predicted_label.apply(get_ec_at_level)\n\n  has_ground_truth_label = true_labels.notna()\n  pred_made = has_ground_truth_label & (predicted_labels.notna())\n\n  agree = has_ground_truth_label & pred_made & (true_labels == predicted_labels)\n  disagree = has_ground_truth_label & pred_made & (\n      true_labels != predicted_labels)\n\n  agree_numerator = sum(agree)\n  disagree_numerator = sum(disagree)\n  no_pred_made_numerator = sum(~pred_made & has_ground_truth_label)\n\n  if (agree_numerator + disagree_numerator + no_pred_made_numerator !=\n      sum(has_ground_truth_label)):\n    # Internal correctness check, so raise an AssertionError, not a ValueError.\n    error_msg = (f'Expected the sum agree_numerator + disagree_numerator + '\n                 f'no_pred_made_numerator == sum(has_ground_truth_label): were '\n                 f'{agree_numerator}, {disagree_numerator}, '\n                 f'{no_pred_made_numerator} {sum(has_ground_truth_label)}')\n\n    raise AssertionError(error_msg)\n  return agree_numerator, disagree_numerator, no_pred_made_numerator\n"
  },
  {
    "path": "evaluation_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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# Lint as: python2, python3\n\"\"\"Tests for evaluation.py.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\n\n\nfrom absl.testing import absltest\nfrom absl.testing import parameterized\nimport numpy as np\nimport pandas as pd\nimport evaluation\nfrom six.moves import range\n\n\nclass _InferrerFixture(object):\n  activation_type = \"serving_default\"\n\n  def __init__(self, vocab_size):\n    self._vocab_size = vocab_size\n\n  def get_activations(self, l):\n    # Return the first l rows of the identity matrix.\n    return np.eye(self._vocab_size)[:len(l)]\n\n  def get_variable(self, _):\n    return np.array([\"CLASS_{}\".format(i) for i in range(self._vocab_size)])\n\n\nclass TestEvaluation(parameterized.TestCase):\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"one_label\",\n          confidences=np.array([[1.0], [1.0]]),\n          vocab=[\"a\"],\n          normalized=np.array([[1.0], [1.0]]),\n          parents={\"a\": [\"a\"]}),\n      dict(\n          testcase_name=\"missing_implied_label\",\n          confidences=np.array([[1.0], [1.0]]),\n          vocab=[\"a\"],\n          normalized=np.array([[1.0], [1.0]]),\n          parents={\"a\": [\"a\", \"b\"]}),\n      dict(\n          testcase_name=\"one_example\",\n          confidences=np.array([[0.6, 0.4]]),\n          vocab=[\"a\", \"b\"],\n          normalized=np.array([[0.6, 0.6]]),\n          parents={\n              \"a\": [\"a\", \"b\"],\n              \"b\": [\"b\"]\n          }))\n  def test_normalize_confidences_edge(self, confidences, vocab, normalized,\n                                      parents):\n    test_normalized = evaluation.normalize_confidences(confidences, vocab,\n                                                       parents)\n    np.testing.assert_array_equal(test_normalized, normalized)\n\n  def test_normalize_confidences(self):\n    test_confidences = np.array([[0.2, 0.5, 0.1, 0.2], [0.1, 0.5, 0.2, 0.1],\n                                 [0.1, 0.1, 0.6, 0.2]])\n    test_vocab = [\"a\", \"b\", \"c\", \"d\"]\n    test_parents = {\"b\": [\"a\", \"b\", \"c\"], \"d\": [\"d\"], \"a\": [\"a\"], \"c\": [\"c\"]}\n\n    normalized = evaluation.normalize_confidences(test_confidences, test_vocab,\n                                                  test_parents)\n\n    for child, parents in test_parents.items():\n      children = normalized[:, test_vocab.index(child)]\n      for parent in parents:\n        non_violations = (children <= normalized[:, test_vocab.index(parent)])\n        self.assertTrue(\n            np.all(non_violations),\n            msg=(\n                \"Parent: {} violates parenthood invariant at indices:\\n \"\n                # pylint: disable=g-explicit-bool-comparison, singleton-comparison\n                \"{}\".format(parent, np.where(non_violations == False))))\n\n  def test_get_ground_truth_multihots(self):\n    label_sets = [{\"foo\"}, {\"foo\", \"bar\"}, {\"bar\", \"baz\"}, set()]\n    label_vocab = sorted([\"foo\", \"bar\", \"baz\"])\n\n    expected = np.array([[0, 0, 1], [1, 0, 1], [1, 1, 0], [0, 0, 0]])\n    multihots = evaluation.get_ground_truth_multihots(label_sets, label_vocab)\n    np.testing.assert_array_equal(expected, multihots)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"no_subset\",\n          # After normalization predictions are:\n          # [0.4, 0.3, 0.1], [0.4, 0.4, 0.3]\n          # Threshold of .3 gives  4 correct out of 5\n          expected_precision=np.array([4. / 5, 1.0]),\n          # Threshold of .4 gives 3 found out of 4.\n          expected_recall=np.array([1.0, 3. / 4])),\n      dict(\n          testcase_name=\"subset\",\n          eval_subset={\"a\", \"c\"},\n          # Without label \"b\" all correct\n          expected_precision=np.array([1.0, 1.0]),\n          # Threshold of 0.4 gives 2 out of 3 positive labels.\n          expected_recall=np.array([1.0, 2.0 / 3])))\n  def test_get_pr_f1_df(self,\n                        expected_precision,\n                        expected_recall,\n                        eval_subset=None):\n    df = pd.DataFrame(\n        dict(\n            true_label=[{\"a\"}, {\"a\", \"b\", \"c\"}],\n            predictions=[[0.4, 0.3, 0.1], [0.1, 0.4, 0.3]]))\n    test_vocab = [\"a\", \"b\", \"c\"]\n    test_parents = {\"b\": [\"a\", \"b\"], \"a\": [\"a\"], \"c\": [\"c\"]}\n\n    # After normalization predictions are:\n    # [0.4, 0.3, 0.1], [0.4, 0.4, 0.3]\n    expected_thresholds = np.array([0.3, 0.4])\n    expected_f1 = ((2 * expected_recall * expected_precision) /\n                   (expected_recall + expected_precision))\n    pr_f1_df = evaluation.get_pr_f1_df(\n        df, test_vocab, test_parents, eval_vocab=eval_subset)\n    np.testing.assert_array_equal(pr_f1_df.precision.values, expected_precision)\n    np.testing.assert_array_equal(pr_f1_df.recall.values, expected_recall)\n    np.testing.assert_array_equal(pr_f1_df.threshold.values,\n                                  expected_thresholds)\n    np.testing.assert_array_equal(pr_f1_df.f1.values, expected_f1)\n\n  def test_get_pr_f1_df_precision_truncation(self):\n    df = pd.DataFrame(\n        dict(\n            true_label=[{\"a\", \"b\", \"c\"}],\n            predictions=[np.array([0.0001, 0.0002, 0.0003])]))\n    test_vocab = [\"a\", \"b\", \"c\"]\n    test_parents = {\"a\": [\"a\"], \"b\": [\"b\"], \"c\": [\"c\"]}\n\n    # We expect that when truncating precision, the precision recall df is\n    # shorter.\n    pr_f1_df_unlimited_precision = evaluation.get_pr_f1_df(\n        df, test_vocab, test_parents, prediction_precision_limit=None)\n    pr_f1_df_limited_precision = evaluation.get_pr_f1_df(\n        df, test_vocab, test_parents, prediction_precision_limit=1)\n\n    self.assertLess(\n        len(pr_f1_df_limited_precision), len(pr_f1_df_unlimited_precision),\n        \"{}\\nis not shorter than\\n{}\".format(\n            pr_f1_df_limited_precision,\n            pr_f1_df_unlimited_precision,\n        ))\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"one class, perfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_1\"}],\n                  true_label=[{\"CLASS_1\"}])),\n          expected=1.,\n      ),\n      dict(\n          testcase_name=\"one class, imperfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\"}])),\n          expected=0.,\n      ),\n      dict(\n          testcase_name=\"two classes, perfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_0\", \"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\", \"CLASS_1\"}])),\n          expected=1.),\n      dict(\n          testcase_name=\"two classes, too many predictions, all recalled\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_0\", \"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\"}])),\n          expected=1.,\n      ),\n      dict(\n          testcase_name=\"two classes, not enough predictions\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_0\"}],\n                  true_label=[{\"CLASS_0\", \"CLASS_1\"}])),\n          expected=.5,\n      ),\n      dict(\n          testcase_name=\"two examples, perfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\", \"seq2\"],\n                  predicted_label=[{\"CLASS_0\"}, {\"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\"}, {\"CLASS_1\"}])),\n          expected=1.,\n      ),\n      dict(\n          testcase_name=\"two examples, imperfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\", \"seq2\"],\n                  predicted_label=[{\"CLASS_0\"}, {\"CLASS_0\"}],\n                  true_label=[{\"CLASS_0\"}, {\"CLASS_1\"}])),\n          expected=.5,\n      ),\n      dict(\n          testcase_name=\"two examples, one with two labels, one not recalled\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\", \"seq2\"],\n                  predicted_label=[{\"CLASS_0\"}, {\"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\", \"CLASS_1\"}, {\"CLASS_1\"}])),\n          expected=2. / 3,\n      ),\n  )\n  def test_multilabel_recall_per_example_label_pair(self, df, expected):\n    working_df = evaluation.true_false_positive_negative_df(df)\n    actual = evaluation.multilabel_recall_per_example_label_pair(working_df)\n    self.assertEqual(actual, expected)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"one class, perfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_1\"}],\n                  true_label=[{\"CLASS_1\"}])),\n          expected=1.,\n      ),\n      dict(\n          testcase_name=\"one class, imperfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\"}])),\n          expected=0.,\n      ),\n      dict(\n          testcase_name=\"two classes, perfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_0\", \"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\", \"CLASS_1\"}])),\n          expected=1.,\n      ),\n      dict(\n          testcase_name=\"two classes, too many predictions\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_0\", \"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\"}])),\n          expected=.5,\n      ),\n      dict(\n          testcase_name=\"two classes, not enough predictions\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\"],\n                  predicted_label=[{\"CLASS_0\"}],\n                  true_label=[{\"CLASS_0\", \"CLASS_1\"}])),\n          expected=1.,\n      ),\n      dict(\n          testcase_name=\"two examples, perfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\", \"seq2\"],\n                  predicted_label=[{\"CLASS_0\"}, {\"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\"}, {\"CLASS_1\"}])),\n          expected=1.,\n      ),\n      dict(\n          testcase_name=\"two examples, imperfect\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\", \"seq2\"],\n                  predicted_label=[{\"CLASS_0\"}, {\"CLASS_0\"}],\n                  true_label=[{\"CLASS_0\"}, {\"CLASS_1\"}])),\n          expected=.5,\n      ),\n      dict(\n          testcase_name=\"two examples, one with two predicted labels, one wrong\",\n          df=pd.DataFrame(\n              dict(\n                  sequence_name=[\"seq1\", \"seq2\"],\n                  predicted_label=[{\"CLASS_0\", \"CLASS_1\"}, {\"CLASS_1\"}],\n                  true_label=[{\"CLASS_0\"}, {\"CLASS_1\"}])),\n          expected=2. / 3,\n      ),\n  )\n  def test_multilabel_precision_per_example_label_pair(self, df, expected):\n    working_df = evaluation.true_false_positive_negative_df(df)\n    actual = evaluation.multilabel_precision_per_example_label_pair(working_df)\n    self.assertEqual(actual, expected)\n\n  def test_multilabel_f1_per_example_label_pair(self):\n    df = pd.DataFrame(\n        dict(\n            sequence_name=[\"seq1\", \"seq2\"],\n            predicted_label=[{\"CLASS_0\", \"CLASS_1\"}, {\"CLASS_1\"}],\n            true_label=[{\"CLASS_0\"}, {\"CLASS_1\"}]))\n    df = evaluation.true_false_positive_negative_df(df)\n    expected = .8  # Harmonic mean of 1. and 2./3\n    actual = evaluation.multilabel_f1_per_example_label_pair(df)\n    self.assertEqual(expected, actual)\n\n  def test_precision_recall_f1_integration_test(self):\n    df = pd.DataFrame(\n        dict(\n            sequence_name=[\"seq1\", \"seq2\"],\n            predicted_label=[{\"CLASS_0\", \"CLASS_1\"}, {\"CLASS_1\"}],\n            true_label=[{\"CLASS_1\"}, {\"CLASS_1\"}]))\n\n    normalizing_dict = {\n        \"CLASS_0\": list(),  # Not included in output.\n        \"CLASS_1\": [\"CLASS_1\"]\n    }\n\n    actual_precision, actual_recall, actual_f1 = evaluation.precision_recall_f1(\n        df, normalizing_dict)\n\n    expected_precision = 1.  # CLASS_0 is normalized out.\n    expected_recall = 1.  # Both sequences have their true label recalled.\n    expected_f1 = 1.\n\n    self.assertEqual(actual_precision, expected_precision)\n    self.assertEqual(actual_recall, expected_recall)\n    self.assertEqual(actual_f1, expected_f1)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"no sequences\",\n          input_predictions=np.array([]),\n          decision_threshold=1.,\n          label_vocab=np.array([]),\n          expected=[],\n      ),\n      dict(\n          testcase_name=\"two sequences, no predictions make it above threshold\",\n          input_predictions=np.array([[.5, .5], [.5, .5]]),\n          decision_threshold=1.,\n          label_vocab=np.array([\"class1\", \"class2\"]),\n          expected=[frozenset(), frozenset()],\n      ),\n      dict(\n          testcase_name=\"two sequences, one prediction makes it above threshold\",\n          input_predictions=np.array([[1., .5], [.5, .5]]),\n          decision_threshold=.75,\n          label_vocab=np.array([\"class1\", \"class2\"]),\n          expected=[frozenset([\"class1\"]), frozenset()],\n      ),\n      dict(\n          testcase_name=\"two sequences, one prediction from each makes it above threshold\",\n          input_predictions=np.array([[1., .5], [.5, 1.]]),\n          decision_threshold=.75,\n          label_vocab=np.array([\"class1\", \"class2\"]),\n          expected=[frozenset([\"class1\"]),\n                    frozenset([\"class2\"])],\n      ),\n      dict(\n          testcase_name=\"two sequences, all classes are predicted\",\n          input_predictions=np.array([[1., 1.], [1., 1.]]),\n          decision_threshold=.75,\n          label_vocab=np.array([\"class1\", \"class2\"]),\n          expected=[\n              frozenset([\"class1\", \"class2\"]),\n              frozenset([\"class1\", \"class2\"])\n          ],\n      ),\n  )\n  def test_filter_predictions_to_above_threshold(self, input_predictions,\n                                                 decision_threshold,\n                                                 label_vocab, expected):\n    actual = evaluation.filter_predictions_to_above_threshold(\n        predictions=input_predictions,\n        decision_threshold=decision_threshold,\n        label_vocab=label_vocab)\n\n    self.assertEqual(actual, expected)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"medium threshold, all make the cut\",\n          input_seqs=[\"AAAA\", \"DDD\", \"EE\", \"W\"],\n          decision_threshold=.5,\n          vocab_size=10,\n\n          # Inferrer fixture outputs values of 1, so everything is above .5.\n          expected_count_over_threshold=4,\n      ),\n      dict(\n          testcase_name=\"high threshold, all make the cut\",\n          input_seqs=[\"AAAA\", \"DDD\", \"EE\", \"W\"],\n          decision_threshold=999,\n          vocab_size=10,\n\n          # Inferrer fixture outputs values of 1, so everything is below 999.\n          expected_count_over_threshold=0,\n      ),\n  )\n  def test_get_predictions_above_threshold(self, input_seqs, decision_threshold,\n                                           vocab_size,\n                                           expected_count_over_threshold):\n    input_df = pd.DataFrame({\n        \"sequence_name\": input_seqs,\n        \"sequence\": input_seqs\n    })\n    inferrer_fixture = _InferrerFixture(vocab_size)\n\n    actual = evaluation.get_predictions_above_threshold(\n        input_df=input_df,\n        inferrer=inferrer_fixture,\n        decision_threshold=decision_threshold)\n\n    # Assert columns are correct.\n    expected_columns = [\"sequence_name\", \"sequence\", \"predicted_label\"]\n    self.assertCountEqual(actual.columns, expected_columns)\n\n    # Assert predicted_label values are all type frozenset.\n    for predicted_label in actual.predicted_label.values:\n      self.assertEqual(type(predicted_label), frozenset)\n\n    # Assert number of called labels is correct.\n    actual_count_over_threshold = len(\n        [s for s in actual.predicted_label if len(s) > 0])  # pylint: disable=g-explicit-length-test\n    self.assertEqual(actual_count_over_threshold, expected_count_over_threshold)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"empty dict\",\n          input_normalizer={},\n          expected={},\n      ),\n      dict(\n          testcase_name=\"one entry\",\n          input_normalizer={\"Pfam:PF00001\": frozenset([\"Pfam:PF00001\"])},\n          expected={\"Pfam:PF00001\": frozenset([\"Pfam:PF00001\"])},\n      ),\n      dict(\n          testcase_name=\"one entry with clan\",\n          input_normalizer={\n              \"Pfam:PF00001\": frozenset([\"Pfam:PF00001\", \"Pfam:CL0192\"])\n          },\n          expected={\"Pfam:PF00001\": frozenset([\"Pfam:CL0192\"])},\n      ),\n  )\n  def test_pfam_label_normalizer_to_lifted_clan(self, input_normalizer,\n                                                expected):\n    actual = evaluation.pfam_label_normalizer_to_lifted_clan(input_normalizer)\n    self.assertDictEqual(actual, expected)\n\n    # Assert that pfam_label_normalizer_to_lifted_clan is idempotent by calling\n    # the function again.\n    second_actual = evaluation.pfam_label_normalizer_to_lifted_clan(\n        input_normalizer)\n    self.assertDictEqual(second_actual, actual)\n\n  def test_pfam_label_normalizer_to_lifted_clan_raises_when_wrong_num(self):\n    with self.assertRaisesRegex(ValueError, \"one or two\"):\n      # This label implies 3 labels, which is not allowed.\n      evaluation.pfam_label_normalizer_to_lifted_clan(\n          {\"Pfam:PF00001\": frozenset([\"Pfam:ONE\", \"Pfam:TWO\", \"Pfam:THREE\"])})\n\n  def test_pfam_label_normalizer_to_lifted_clan_raises_when_no_clan(self):\n    with self.assertRaisesRegex(ValueError, \"did not have a clan\"):\n      # This label implies 2 labels, none of which is a clan\n      evaluation.pfam_label_normalizer_to_lifted_clan({\n          \"Pfam:PF00001\": frozenset([\"Pfam:NOT_A_CLAN_1\", \"PFam:NOT_A_CLAN_2\"])\n      })\n\n  def test_convert_pfam_ground_truth_to_lifted_clans(self):\n    input_df = pd.DataFrame({\n        \"sequence_name\": [\"SEQ1\", \"SEQ2\"],\n        \"true_label\": [\n            frozenset([\"Pfam:PF00001\"]),\n            frozenset([\"Pfam:PF99999\", \"Pfam:PF88888\"])\n        ]\n    })\n    input_label_normalizer = {\n        \"Pfam:PF00001\": frozenset([\"Pfam:PF00001\", \"Pfam:CL0192\"]),\n        \"Pfam:PF99999\": frozenset([\"Pfam:PF99999\"]),\n        \"Pfam:PF88888\": frozenset([\"Pfam:PF88888\"])\n    }\n    actual = evaluation.convert_pfam_ground_truth_to_lifted_clans(\n        input_df, input_label_normalizer)\n\n    # Expect PF00001 was converted to only CL0192, everything else stays the\n    # same.\n    expected = pd.DataFrame({\n        \"sequence_name\": [\"SEQ1\", \"SEQ2\"],\n        \"true_label\": [\n            frozenset([\"Pfam:CL0192\"]),\n            frozenset([\"Pfam:PF99999\", \"Pfam:PF88888\"])\n        ]\n    })\n\n    np.testing.assert_array_equal(actual.sequence_name.values,\n                                  expected.sequence_name.values)\n    self.assertSetEqual(actual.true_label.values[0],\n                        expected.true_label.values[0])\n    self.assertSetEqual(actual.true_label.values[1],\n                        expected.true_label.values[1])\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name=\"agree at this level\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:1.1.1.1\"],\n              \"true_label\": [\"EC:1.1.1.2\"],\n          }),\n          input_level=1,\n          expected_agree=1,\n          expected_disagree=0,\n          expected_no_call=0,\n      ),\n      dict(\n          testcase_name=\"disagree at this level\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:1.1.1.1\"],\n              \"true_label\": [\"EC:1.1.1.2\"],\n          }),\n          input_level=4,\n          expected_agree=0,\n          expected_disagree=1,\n          expected_no_call=0,\n      ),\n      dict(\n          testcase_name=\"ground truth had no prediction at this level, but we did\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:1.1.1.1\"],\n              \"true_label\": [\"EC:1.1.1.-\"],\n          }),\n          input_level=4,\n          expected_agree=0,\n          expected_disagree=0,\n          expected_no_call=0,\n      ),\n      dict(\n          testcase_name=\"ground truth had no prediction at this level, and neither did we\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:1.1.1.-\"],\n              \"true_label\": [\"EC:1.1.1.-\"],\n          }),\n          input_level=4,\n          expected_agree=0,\n          expected_disagree=0,\n          expected_no_call=0,\n      ),\n      dict(\n          testcase_name=\"ground truth had no prediction at this level, we did make a prediction, but we made a mistake earlier\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:2.2.2.2\"],\n              \"true_label\": [\"EC:1.1.1.-\"],\n          }),\n          input_level=4,\n          expected_agree=0,\n          # We shouldn't be penalized for making a prediction at a level\n          # where the ground truth also didn't make a prediction.\n          expected_disagree=0,\n          expected_no_call=0,\n      ),\n      dict(\n          testcase_name=\"ground truth had prediction at this level, we did not make a prediction, and we made no mistake earlier\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:1.1.1.-\"],\n              \"true_label\": [\"EC:1.1.1.1\"],\n          }),\n          input_level=4,\n          expected_agree=0,\n          # We shouldn't be penalized for making no prediction, even if we\n          # made a mistake higher up.\n          expected_disagree=0,\n          expected_no_call=1,\n      ),\n      dict(\n          testcase_name=\"ground truth had prediction at this level, we did not make a prediction, but we made a mistake earlier\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:2.2.2.-\"],\n              \"true_label\": [\"EC:1.1.1.1\"],\n          }),\n          input_level=4,\n          expected_agree=0,\n          # We shouldn't be penalized for making no prediction, even if we\n          # made a mistake higher up.\n          expected_disagree=0,\n          expected_no_call=1,\n      ),\n      dict(\n          testcase_name=\"ground truth had no prediction at this level, and we didn't make a prediction at this level, but we made a mistake earlier\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:2.2.2.-\"],\n              \"true_label\": [\"EC:1.1.1.-\"],\n          }),\n          input_level=4,\n          expected_agree=0,\n          # We shouldn't be penalized for making a non-prediction at a level\n          # where the ground truth also didn't make a prediction.\n          expected_disagree=0,\n          expected_no_call=0,\n      ),\n      dict(\n          testcase_name=\"we made a mistake earlier on, but happened to agree on a lesser classification\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\"EC:2.1.1.1\"],\n              \"true_label\": [\"EC:1.1.1.1\"],\n          }),\n          input_level=3,\n          expected_agree=0,\n          # Even though we agree that the 3rd level is a '1', because we made\n          # a mistake in the first level, this should be counted as a\n          # disagreement.\n          expected_disagree=1,\n          expected_no_call=0,\n      ),\n      dict(\n          testcase_name=\"more than one prediction\",\n          input_df=pd.DataFrame({\n              \"predicted_label\": [\n                  \"EC:1.1.1.1\", \"EC:1.1.1.1\", \"EC:1.1.1.1\", \"EC:1.1.1.-\"\n              ],\n              \"true_label\": [\n                  \"EC:1.1.1.1\", \"EC:1.1.1.2\", \"EC:1.1.1.-\", \"EC:1.1.1.-\"\n              ],\n          }),\n          input_level=4,\n          # First element is an agreement.\n          expected_agree=1,\n          # Second element is a disagreement.\n          expected_disagree=1,\n          # Last two elements are discarded because they're not called by the\n          # ground truth.\n          expected_no_call=0,\n      ),\n  )\n  def test_ec_agreement_for_level(self, input_level, input_df, expected_agree,\n                                  expected_disagree, expected_no_call):\n    actual_agree, actual_disagree, actual_no_call = evaluation.ec_agreement_for_level(\n        input_df, input_level)\n\n    self.assertEqual(actual_agree, expected_agree,\n                     \"agreement numbers were not the same.\")\n    self.assertEqual(actual_disagree, expected_disagree,\n                     \"disagreement numbers were not the same.\")\n    self.assertEqual(actual_no_call, expected_no_call,\n                     \"no-call numbers were not the same.\")\n\n\nif __name__ == \"__main__\":\n  absltest.main()\n"
  },
  {
    "path": "hparams_sets.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\nr\"\"\"Hyperparameter sets.\n\nThese are defined as functions to allow for inheritance.\n\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nfrom tensorflow.contrib import training as contrib_training\n\n\ndef _starting_hparams():\n  \"\"\"Set of shared starting parameters used in sets below.\"\"\"\n  hparams = contrib_training.HParams()\n  hparams.add_hparam('batch_style', 'bucket')\n  hparams.add_hparam('gradient_clipping_decay', 0.9999)\n  hparams.add_hparam('learning_rate', 0.0005)\n  hparams.add_hparam('lr_decay_rate', .997)\n  hparams.add_hparam('lr_decay_steps', 1000)\n  hparams.add_hparam('lr_warmup_steps', 3000)\n  hparams.add_hparam('model_type', 'cnn')\n  hparams.add_hparam('resnet_bottleneck_factor', 0.5)\n  hparams.add_hparam('decision_threshold', 0.5)\n  hparams.add_hparam('denominator_power', 1.0)  # Standard mean-pooling.\n  return hparams\n\n\ndef tuned_for_ec():\n  \"\"\"Hyperparameters tuned for EC classification.\"\"\"\n  # TODO(theosanderson): update these to true SOTA values\n  hparams = contrib_training.HParams()\n  hparams.add_hparam('gradient_clipping_decay', 0.9999)\n  hparams.add_hparam('batch_style', 'bucket')\n  hparams.add_hparam('batch_size', 34)\n  hparams.add_hparam('dilation_rate', 5)\n  hparams.add_hparam('filters', 411)\n  hparams.add_hparam('first_dilated_layer', 1)  # This is 0-indexed\n  hparams.add_hparam('kernel_size', 7)\n  hparams.add_hparam('num_layers', 5)\n  hparams.add_hparam('pooling', 'mean')\n  hparams.add_hparam('resnet_bottleneck_factor', 0.88152)\n  hparams.add_hparam('lr_decay_rate', 0.9977)\n  hparams.add_hparam('learning_rate', 0.00028748)\n  hparams.add_hparam('decision_threshold', 0.3746)\n  hparams.add_hparam('denominator_power', 0.88)\n\n  hparams.add_hparam('train_steps', 650000)\n  return hparams\n\n\ndef small_test_model():\n  \"\"\"A small test model that will run on a CPU quickly.\"\"\"\n  hparams = _starting_hparams()\n  hparams.add_hparam('batch_size', 8)\n  hparams.add_hparam('dilation_rate', 1)\n  hparams.add_hparam('first_dilated_layer', 1)  # This is 0-indexed\n  hparams.add_hparam('filters', 10)\n  hparams.add_hparam('kernel_size', 3)\n  hparams.add_hparam('num_layers', 1)\n  hparams.add_hparam('train_steps', 100)\n  return hparams\n"
  },
  {
    "path": "inference.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Compute activations for trained model from input sequences.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport base64\nimport functools\nimport gzip\nimport io\nimport itertools\nimport os\nfrom typing import Dict, FrozenSet, Iterator, List, Text, Tuple\n\nfrom absl import logging\nimport numpy as np\nimport pandas as pd\nimport utils\nimport six\nimport tensorflow.compat.v1 as tf\nimport tensorflow_hub as hub\nimport tqdm\nimport scipy.sparse\n\n\ndef call_module(module, one_hots, row_lengths, signature):\n  \"\"\"Call a tf_hub.Module using the standard blundell signature.\n\n  This expects that `module` has a signature named `signature` which conforms to\n      ('sequence',\n       'sequence_length') -> output\n\n  To use an existing SavedModel\n  file you may want to create a module_spec with\n  `tensorflow_hub.saved_model_module.create_module_spec_from_saved_model`.\n\n  Args:\n    module: a tf_hub.Module to call.\n    one_hots: a rank 3 tensor with one-hot encoded sequences of residues.\n    row_lengths: a rank 1 tensor with sequence lengths.\n    signature: the graph signature to validate and call.\n\n  Returns:\n    The output tensor of `module`.\n  \"\"\"\n  if signature not in module.get_signature_names():\n    raise ValueError('signature not in ' +\n                     six.ensure_str(str(module.get_signature_names())) +\n                     '. Was ' + six.ensure_str(signature) + '.')\n  inputs = module.get_input_info_dict(signature=signature)\n  expected_inputs = [\n      'sequence',\n      'sequence_length',\n  ]\n  if set(inputs.keys()) != set(expected_inputs):\n    raise ValueError(\n        'The signature_def does not have the expected inputs. Please '\n        'reconfigure your saved model to only export signatures '\n        'with sequence and length inputs. (Inputs were %s, expected %s)' %\n        (str(inputs), str(expected_inputs)))\n\n  outputs = module.get_output_info_dict(signature=signature)\n  if len(outputs) > 1:\n    raise ValueError('The signature_def given has more than one output. Please '\n                     'reconfigure your saved model to only export signatures '\n                     'with one output. (Outputs were %s)' % str(outputs))\n\n  return list(\n      module({\n          'sequence': one_hots,\n          'sequence_length': row_lengths,\n      },\n             signature=signature,\n             as_dict=True).values())[0]\n\n\ndef in_graph_inferrer(sequences,\n                      savedmodel_dir_path,\n                      signature,\n                      name_scope='inferrer'):\n  \"\"\"Add an in-graph inferrer to the active default graph.\n\n  Additionally performs in-graph preprocessing, splitting strings, and encoding\n  residues.\n\n  Args:\n    sequences: A tf.string Tensor representing a batch of sequences with shape\n      [None].\n    savedmodel_dir_path: Path to the directory with the SavedModel binary.\n    signature: Name of the signature to use in `savedmodel_dir_path`. e.g.\n      'pooled_representation'\n    name_scope: Name scope to use for the loaded saved model.\n\n  Returns:\n    Output Tensor\n  Raises:\n    ValueError if signature does not conform to\n      ('sequence',\n       'sequence_length') -> output\n    or if the specified signature is not present.\n  \"\"\"\n  # Add variable to make it easier to refactor with multiple tags in future.\n  tags = [tf.saved_model.tag_constants.SERVING]\n\n  # Tokenization\n  residues = tf.strings.unicode_split(sequences, 'UTF-8')\n  # Convert to one-hots and pad.\n  one_hots, row_lengths = utils.in_graph_residues_to_onehot(residues)\n  module_spec = hub.saved_model_module.create_module_spec_from_saved_model(\n      savedmodel_dir_path)\n  module = hub.Module(module_spec, trainable=False, tags=tags, name=name_scope)\n  return call_module(module, one_hots, row_lengths, signature)\n\n\n@functools.lru_cache(maxsize=None)\ndef memoized_inferrer(\n    savedmodel_dir_path,\n    activation_type=tf.saved_model.signature_constants\n    .DEFAULT_SERVING_SIGNATURE_DEF_KEY,\n    batch_size=16,\n    use_tqdm=False,\n    session_config=None,\n    memoize_inference_results=False,\n    use_latest_savedmodel=False,\n):\n  \"\"\"Alternative constructor for Inferrer that is memoized.\"\"\"\n  return Inferrer(\n      savedmodel_dir_path=savedmodel_dir_path,\n      activation_type=activation_type,\n      batch_size=batch_size,\n      use_tqdm=use_tqdm,\n      session_config=session_config,\n      memoize_inference_results=memoize_inference_results,\n      use_latest_savedmodel=use_latest_savedmodel,\n  )\n\n\nclass Inferrer(object):\n  \"\"\"Uses a SavedModel to provide batched inference.\"\"\"\n\n  def __init__(\n      self,\n      savedmodel_dir_path,\n      activation_type=tf.saved_model.signature_constants\n      .DEFAULT_SERVING_SIGNATURE_DEF_KEY,\n      batch_size=64,\n      use_tqdm=False,\n      session_config=None,\n      memoize_inference_results=False,\n      use_latest_savedmodel=False,\n  ):\n    \"\"\"Construct Inferrer.\n\n    Args:\n      savedmodel_dir_path: path to directory where a SavedModel pb or\n        pbtxt is stored. The SavedModel must only have one input per signature\n        and only one output per signature.\n      activation_type: one of the keys in saved_model.signature_def.keys().\n      batch_size: batch size to use for individual inference ops.\n      use_tqdm: Whether to print progress using tqdm.\n      session_config: tf.ConfigProto for tf.Session creation.\n      memoize_inference_results: if True, calls to inference.get_activations\n        will be memoized.\n      use_latest_savedmodel: If True, the model will be loaded from\n        latest_savedmodel_path_from_base_path(savedmodel_dir_path).\n\n    Raises:\n      ValueError: if activation_type is not the name of a signature_def in the\n        SavedModel.\n      ValueError: if SavedModel.signature_def[activation_type] has an input\n        other than 'sequence'.\n      ValueError: if SavedModel.signature_def[activation_type] has more than\n        one output.\n    \"\"\"\n    if use_latest_savedmodel:\n      savedmodel_dir_path = latest_savedmodel_path_from_base_path(\n          savedmodel_dir_path)\n    self.batch_size = batch_size\n    self._graph = tf.Graph()\n    self._model_name_scope = 'inferrer'\n    with self._graph.as_default():\n      self._sequences = tf.placeholder(\n          shape=[None], dtype=tf.string, name='sequences')\n      self._fetch = in_graph_inferrer(\n          self._sequences,\n          savedmodel_dir_path,\n          activation_type,\n          name_scope=self._model_name_scope)\n      self._sess = tf.Session(\n          config=session_config if session_config else tf.ConfigProto())\n      self._sess.run([\n          tf.initializers.global_variables(),\n          tf.initializers.local_variables(),\n          tf.initializers.tables_initializer(),\n      ])\n\n    self._savedmodel_dir_path = savedmodel_dir_path\n    self.activation_type = activation_type\n    self._use_tqdm = use_tqdm\n    if memoize_inference_results:\n      self._get_activations_for_batch = self._get_activations_for_batch_memoized\n    else:\n      self._get_activations_for_batch = self._get_activations_for_batch_unmemoized\n\n  def __repr__(self):\n    return ('{} with feed tensors savedmodel_dir_path {} and '\n            'activation_type {}').format(\n                type(self).__name__, self._savedmodel_dir_path,\n                self.activation_type)\n\n  def _get_tensor_by_name(self, name):\n    return self._graph.get_tensor_by_name('{}/{}'.format(\n        self._model_name_scope, name))\n\n  def _get_activations_for_batch_unmemoized(self,\n                                            seqs,\n                                            custom_tensor_to_retrieve=None):\n    \"\"\"Gets activations for each sequence in list_of_seqs.\n\n      [\n        [activation_1, activation_2, ...] # For list_of_seqs[0]\n        [activation_1, activation_2, ...] # For list_of_seqs[1]\n        ...\n      ]\n\n    In the case that the activations are the normalized probabilities that a\n    sequence belongs to a class, entry `i, j` of\n    `inferrer.get_activations(batch)` contains the probability that\n    sequence `i` is in family `j`.\n\n    Args:\n      seqs: tuple of strings, with characters that are amino\n        acids.\n      custom_tensor_to_retrieve: string name for a tensor to retrieve, if unset\n        uses default for signature.\n\n    Returns:\n      np.array of floats containing the value from fetch_op.\n    \"\"\"\n    if custom_tensor_to_retrieve:\n      fetch = self._get_tensor_by_name(custom_tensor_to_retrieve)\n    else:\n      fetch = self._fetch\n    with self._graph.as_default():\n      return self._sess.run(fetch, {self._sequences: seqs})\n\n  @functools.lru_cache(maxsize=None)\n  def _get_activations_for_batch_memoized(self,\n                                          seqs,\n                                          custom_tensor_to_retrieve=None):\n    return self._get_activations_for_batch_unmemoized(\n        seqs, custom_tensor_to_retrieve)\n\n  def get_activations(self, list_of_seqs, custom_tensor_to_retrieve=None):\n    \"\"\"Gets activations where batching may be needed to avoid OOM.\n\n    Inputs are strings of amino acids, outputs are activations from the network.\n\n    Args:\n      list_of_seqs: iterable of strings as input for inference.\n      custom_tensor_to_retrieve: string name for a tensor to retrieve, if unset\n        uses default for signature.\n\n    Returns:\n      np.array of scipy sparse coo matrices of shape [num_of_seqs_in_batch, ...]\n      where ... is the shape of the fetch tensor.\n    \"\"\"\n    np_seqs = np.array(list_of_seqs, dtype=np.object)\n    if np_seqs.size == 0:\n      return np.array([], dtype=float)\n\n    if len(np_seqs.shape) != 1:\n      raise ValueError('`list_of_seqs` should be convertible to a numpy vector '\n                       'of strings. Got {}'.format(np_seqs))\n\n    logging.debug('Predicting for %d sequences', len(list_of_seqs))\n\n    lengths = np.array([len(seq) for seq in np_seqs])\n    # Sort by reverse length, so that the longest element is first.\n    # This is because the longest element can cause memory issues, and we'd like\n    # to fail-fast in this case.\n    sorter = np.argsort(lengths)[::-1]\n    # The inverse of a permutation A is the permutation B such that B(A) is the\n    # the identity permutation (a sorted list).\n    reverser = np.argsort(sorter)\n\n    activation_list = []\n    batches = np.array_split(np_seqs[sorter],\n                             np.ceil(len(np_seqs) / self.batch_size))\n    if self._use_tqdm:\n      batches = tqdm.tqdm(\n          batches,\n          position=0,\n          desc='Annotating batches of sequences',\n          leave=True,\n          dynamic_ncols=True)\n    for batch in batches:\n      batch_activations = self._get_activations_for_batch(\n          tuple(batch), custom_tensor_to_retrieve=custom_tensor_to_retrieve)\n      batch_activations_sparse = [scipy.sparse.coo_matrix(x) for x in batch_activations]\n\n      activation_list.append(batch_activations_sparse)\n\n    activations = np.concatenate(activation_list, axis=0)[reverser]\n\n    return activations\n\n  def get_variable(self, variable_name):\n    \"\"\"Gets the value of a variable from the graph.\n\n    Args:\n      variable_name: string name for retrieval. E.g. \"vocab_name:0\"\n\n    Returns:\n      output from TensorFlow from attempt to retrieve this value.\n    \"\"\"\n    with self._graph.as_default():\n      return self._sess.run(self._get_tensor_by_name(variable_name))\n\n\ndef latest_savedmodel_path_from_base_path(base_path):\n  \"\"\"Get the most recent savedmodel from a base directory path.\"\"\"\n\n  protein_export_base_path = os.path.join(base_path, 'export/protein_exporter')\n\n  suffixes = [\n      x for x in tf.io.gfile.listdir(protein_export_base_path)\n      if 'temp-' not in x\n  ]\n\n  if not suffixes:\n    raise ValueError('No SavedModels found in %s' % protein_export_base_path)\n\n  # Sort by suffix to take the model corresponding the most\n  # recent training step.\n  return os.path.join(protein_export_base_path, sorted(suffixes)[-1])\n\n\ndef predictions_for_df(df, inferrer):\n  \"\"\"Returns df with column that's the activations for each sequence.\n\n  Args:\n    df: DataFrame with columns 'sequence' and 'sequence_name'.\n    inferrer: inferrer.\n\n  Returns:\n    pd.DataFrame with columns 'sequence_name', 'predicted_label', and\n    'predictions'. 'predictions' has type np.ndarray, whose shape depends on\n    inferrer.activation_type.\n  \"\"\"\n  working_df = df.copy()\n  working_df['predictions'] = inferrer.get_activations(\n      working_df.sequence.values).tolist()\n  return working_df\n\n\ndef serialize_inference_result(sequence_name,\n                               activations):\n  \"\"\"Serializes an inference result.\n\n  This function is the opposite of deserialize_inference_result.\n\n  The full format returned is a\n  base-64 encoded ( np compressed array of ( dict of (seq_name: activations))))\n\n  Benefits of this setup:\n  - Takes advantage of np compression.\n  - Avoids explicit use of pickle (e.g. np.save(allow_pickle)).\n  - Is somewhat agnostic to the dictionary contents\n    (i.e. you can put whatever you want in the dictionary if we wanted to reuse\n    this serialization format)\n  - No protos, so no build dependencies for colab.\n  - Entries are serialized row-wise, so they're easy to iterate through, and\n    it's possible to decode them on the fly.\n\n  Args:\n    sequence_name: sequence name.\n    activations: np.ndarray.\n\n  Returns:\n    encoded/serialized version of sequence_name and activations.\n  \"\"\"\n  with io.BytesIO() as bytes_io:\n    np.savez_compressed(bytes_io, **{sequence_name: activations})\n    return base64.b64encode(bytes_io.getvalue())\n\n\ndef deserialize_inference_result(results_b64):\n  \"\"\"Deserializes an inference result.\n\n  This function is the opposite of serialize_inference_result.\n\n  The full format expected is a\n  base-64 encoded ( np compressed array of ( dict of (seq_name: activations))))\n\n  Benefits of this setup:\n  - Takes advantage of np compression.\n  - Avoids explicit use of pickle (e.g. np.save(allow_pickle)).\n  - Is somewhat agnostic to the dictionary contents\n    (i.e. you can put whatever you want in the dictionary if we wanted to reuse\n    this serialization format)\n  - No protos, so no build dependencies for colab.\n  - Entries are serialized row-wise, so they're easy to iterate through, and\n    it's possible to decode them on the fly.\n\n  Args:\n    results_b64: bytes with the above contents.\n\n  Returns:\n    tuple of sequence_name, np.ndarray (the activations).\n\n  Raises:\n    ValueError if the structured np.array containing the activations doesn't\n    have exactly 1 element.\n  \"\"\"\n  bytes_io = io.BytesIO(base64.b64decode(results_b64))\n  single_pred_dict = dict(np.load(bytes_io))\n  if len(single_pred_dict) != 1:\n    raise ValueError('Expected exactly one object in the structured np array. '\n                     f'Saw {len(single_pred_dict)}')\n  sequence_name = list(single_pred_dict.keys())[0]\n  activations = list(single_pred_dict.values())[0]\n  return sequence_name, activations\n\n\ndef parse_shard(shard_path):\n  \"\"\"Parses file of gzipped, newline-separated inference results.\n\n  The contents of each line are expected to be serialized as in\n  `serialize_inference_result` above.\n\n  Args:\n    shard_path: file path.\n\n  Yields:\n    Tuple of (accession, activation).\n  \"\"\"\n  with tf.io.gfile.GFile(shard_path, 'rb') as f:\n    with gzip.GzipFile(fileobj=f, mode='rb') as f_gz:\n      for line in f_gz:  # Line-by-line.\n        yield deserialize_inference_result(line)\n\n\ndef parse_all_shards(shard_dir_path):\n  \"\"\"Parses directory of files of gzipped, newline-separated inference results.\n\n  The contents of each line are expected to be serialized as in\n  `serialize_inference_result` above.\n\n  Args:\n    shard_dir_path: path to directory containing shards.\n\n  Returns:\n    DataFrame with columns sequence_name (str); predictions (rank 1 np.ndarray\n    of activations).\n  \"\"\"\n  files_to_process = utils.absolute_paths_of_files_in_dir(shard_dir_path)\n  list_of_shard_results = [parse_shard(f) for f in files_to_process]\n  return pd.DataFrame(\n      list(itertools.chain(*list_of_shard_results)),\n      columns=['sequence_name', 'predictions'])\n\n\ndef get_preds_at_or_above_threshold(input_df,\n                                    inferrer_list,\n                                    threshold):\n  \"\"\"Runs ensembled inference; returns dataframe of filtered inference results.\n\n  Includes predictions >= threshold.\n\n  Because more than one label can be predicted for a sequence, the same\n  sequence_name may appear in multiple output rows\n\n  Args:\n    input_df: pd.DataFrame with columns sequence (str), sequence_name (str).\n    inferrer_list: list of ensemble elements.\n    threshold: float. Keep inference results above this threshold.\n\n  Returns:\n    pd.DataFrame with columns sequence_name (str), predicted_label (str), and\n    confidence (float). `sequence_name`s are sorted in the original order they\n    came in.\n  \"\"\"\n  if threshold == 0.:\n    raise ValueError('The given threshold was 0. Please supply a '\n                     'value between 0 (exclusive) and 1 (inclusive). A value '\n                     'of zero will report every label for every protein.')\n  predictions = np.mean([\n      inferrer.get_activations(input_df.sequence.values.tolist())\n      for inferrer in inferrer_list\n  ],\n                        axis=0)\n  cnn_label_vocab = inferrer_list[0].get_variable('label_vocab:0').astype(str)\n\n  output_dict = {'sequence_name': [], 'predicted_label': [], 'confidence': []}\n\n  for idx, protein_sparse in enumerate(predictions):\n    protein = np.asarray(protein_sparse.todense())[0]\n    proteins_above_threshold = protein >= threshold\n    labels_predicted = cnn_label_vocab[proteins_above_threshold]\n    for label, confidence in zip(labels_predicted,\n                                 protein[proteins_above_threshold]):\n      output_dict['sequence_name'].append(input_df.sequence_name.values[idx])\n      output_dict['predicted_label'].append(label)\n      output_dict['confidence'].append(confidence)\n\n  return pd.DataFrame(output_dict)\n"
  },
  {
    "path": "inference_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Tests for module inference.py.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport gzip\n\n\n\nfrom absl import flags\nfrom absl.testing import absltest\nfrom absl.testing import parameterized\nimport numpy as np\nimport pandas as pd\nimport scipy.sparse\nimport inference\nimport test_util\nimport utils\nimport tensorflow.compat.v1 as tf\n\nFLAGS = flags.FLAGS\n\n\nclass _InferrerFixture(object):\n  \"\"\"A mock inferrer object.\n\n  See docstring for get_activations.\n  \"\"\"\n  activation_type = 'serving_default'\n\n  def __init__(self, activation_rank=1):\n    \"\"\"Constructs a mock inferrer with activation output of specified rank.\n\n    Args:\n      activation_rank: int. Use 1 for activations that have a single float per\n        sequence, 2. for a vector per sequence, etc.\n    \"\"\"\n    self._activation_rank = activation_rank\n\n  def get_variable(self, x):\n    if x == 'label_vocab:0':\n      return np.array(['LABEL1'])\n    else:\n      raise ValueError(\n          'Fixture does not have an implementation for this variable')\n\n  def get_activations(self, input_seqs):\n    \"\"\"Returns a np.array with contents that are the length of each seq.\n\n    The shape of the np.array is dictated by self._activation_rank - see\n    docstring of __init__ for more information.\n\n    Args:\n      input_seqs: list of string.\n\n    Returns:\n      np.array of rank self._activation_rank, where the entries are the length\n      of each input seq. See Inferrer.get_activations for more information \n      about what this class is mocking.\n    \"\"\"\n    dense = np.reshape([len(s) for s in input_seqs],\n                      [-1] + [1] * (self._activation_rank - 1))\n    return np.array([scipy.sparse.coo_matrix(x) for x in dense])\n\n\nclass InGraphInferrerTest(tf.test.TestCase, parameterized.TestCase):\n\n  def testCanInfer(self):\n\n    graph = tf.Graph()\n    with graph.as_default():\n      sequences = tf.placeholder(shape=[None], dtype=tf.string)\n      output_tensor = inference.in_graph_inferrer(\n          sequences, test_util.savedmodel_path(),\n          tf.saved_model.signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY)\n\n    input_seqs = [''.join(utils.FULL_RESIDUE_VOCAB), 'ACD']\n    with self.session(graph=graph) as sess:\n      sess.run(tf.global_variables_initializer())\n      sess.run(tf.tables_initializer())\n      result = sess.run(output_tensor, feed_dict={sequences: input_seqs})\n\n    self.assertLen(result, 2)\n\n\nclass InferenceLibTest(parameterized.TestCase, tf.test.TestCase):\n\n  def testBatchedInference(self):\n    inferrer = inference.Inferrer(test_util.savedmodel_path(), batch_size=5)\n\n    input_seq = 'AP'\n    for total_size in range(15):\n      full_list = [input_seq] * total_size\n      activations = inferrer.get_activations(full_list)\n      self.assertLen(full_list, activations.shape[0])\n\n  def testSortUnsortInference(self):\n    inferrer = inference.Inferrer(test_util.savedmodel_path(), batch_size=1)\n\n    input_seqs = ['AP', 'APP', 'AP']\n    # Sorting will move long sequence to the end.\n    activations = inferrer.get_activations(input_seqs)\n    # Make sure it gets moved back to the middle.\n    self.assertAllClose(activations[0].todense(), activations[2].todense())\n    self.assertNotAllClose(activations[0].todense(), activations[1].todense())\n\n  def testStringInput(self):\n    inferrer = inference.Inferrer(test_util.savedmodel_path())\n    # Simulate failure to use a list.\n    with self.assertRaisesRegex(\n        ValueError, '`list_of_seqs` should be convertible to a '\n        'numpy vector of strings. Got *'):\n      inferrer.get_activations('QP')\n\n  def testMemoizedInferrerLoading(self):\n    inferrer = inference.memoized_inferrer(\n        test_util.savedmodel_path(), memoize_inference_results=True)\n    memoized_inferrer = inference.memoized_inferrer(\n        test_util.savedmodel_path(), memoize_inference_results=True)\n\n    self.assertIs(inferrer, memoized_inferrer)\n\n  def testMemoizedInferenceResults(self):\n    inferrer = inference.Inferrer(\n        test_util.savedmodel_path(), memoize_inference_results=True)\n    activations = inferrer._get_activations_for_batch(('ADE',))\n    memoized_activations = inferrer._get_activations_for_batch(('ADE',))\n\n    self.assertIs(activations, memoized_activations)\n\n  def testGetVariable(self):\n    inferrer = inference.Inferrer(test_util.savedmodel_path())\n    output = inferrer.get_variable('conv1d/bias:0')\n    self.assertNotEmpty(output)\n\n  def test_predictions_for_df(self):\n    inferrer_fixture = _InferrerFixture()\n    input_seqs = ['AAAA', 'DDD', 'EE', 'W']\n    input_df = pd.DataFrame({\n        'sequence_name': input_seqs,\n        'sequence': input_seqs\n    })\n    actual_output_df = inference.predictions_for_df(input_df, inferrer_fixture)\n\n    self.assertEqual(actual_output_df['predictions'].values.tolist(),\n                     [4, 3, 2, 1])\n\n    self.assertEqual(actual_output_df.sequence_name.values.tolist(), input_seqs)\n\n  def test_serialize_deserialize_inference_result(self):\n    input_accession = 'ACCESSION'\n    input_activations = np.array([1., 2., 3.])\n\n    serialized = inference.serialize_inference_result(input_accession,\n                                                      input_activations)\n    deserialized_actual_accession, deserialized_actual_activations = inference.deserialize_inference_result(\n        serialized)\n\n    self.assertEqual(deserialized_actual_accession, input_accession)\n    np.testing.assert_array_equal(deserialized_actual_activations,\n                                  input_activations)\n\n  def test_parse_sharded_inference_results(self):\n    # Create input inference results.\n    input_accession_1 = 'ACCESSION_1'\n    input_activations_1 = np.array([1., 2., 3.])\n\n    input_accession_2 = 'ACCESSION_2'\n    input_activations_2 = np.array([4., 5., 6.])\n\n    input_accession_3 = 'ACCESSION_3'\n    input_activations_3 = np.array([7., 8., 9.])\n\n    # Create files and a directory containing those inference results.\n    shard_1_contents = inference.serialize_inference_result(\n        input_accession_1,\n        input_activations_1) + b'\\n' + inference.serialize_inference_result(\n            input_accession_2, input_activations_2)\n\n    shard_2_contents = inference.serialize_inference_result(\n        input_accession_3, input_activations_3)\n\n    shard_dir = self.create_tempdir()\n\n    shard_1_filename = shard_dir.create_file('shard_1').full_path\n    shard_2_filename = shard_dir.create_file('shard_2').full_path\n\n    # Write contents to a gzipped file.\n    with tf.io.gfile.GFile(shard_1_filename, 'wb') as f:\n      with gzip.GzipFile(fileobj=f, mode='wb') as f_gz:\n        f_gz.write(shard_1_contents)\n\n    with tf.io.gfile.GFile(shard_2_filename, 'wb') as f:\n      with gzip.GzipFile(fileobj=f, mode='wb') as f_gz:\n        f_gz.write(shard_2_contents)\n\n    actual = inference.parse_all_shards(shard_dir.full_path).values\n    actual = sorted(actual, key=lambda x: x[0])\n\n    self.assertEqual(actual[0][0], input_accession_1)\n    self.assertEqual(actual[1][0], input_accession_2)\n    self.assertEqual(actual[2][0], input_accession_3)\n\n    np.testing.assert_array_equal(actual[0][1], input_activations_1)\n    np.testing.assert_array_equal(actual[1][1], input_activations_2)\n    np.testing.assert_array_equal(actual[2][1], input_activations_3)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='filters one sequence',\n          input_df=pd.DataFrame({\n              'sequence_name': ['seq1', 'seq2'],\n              'sequence': ['ACDE', 'WWWYYY']\n          }),\n          threshold=5.,\n          expected=pd.DataFrame({\n              'sequence_name': ['seq2'],\n              'confidence': [6.],\n              'predicted_label': ['LABEL1'],\n          })),\n      dict(\n          testcase_name='filters no sequences, but preserves input sequence_name ordering',\n          input_df=pd.DataFrame({\n              'sequence_name': ['seq2', 'seq1'],\n              'sequence': ['WWWYYY', 'ACDE']\n          }),\n          threshold=2.,\n          expected=pd.DataFrame({\n              # Note: doesn't sort by sequence_name.\n              'sequence_name': ['seq2', 'seq1'],\n              'confidence': [6., 4.],\n              'predicted_label': ['LABEL1', 'LABEL1'],\n          })),\n  )\n  def testGetPredsAboveThreshold(self, input_df, expected, threshold):\n    inferrer_list = [_InferrerFixture(activation_rank=2)]\n\n    # Assert that the first sequence was removed.\n    actual = inference.get_preds_at_or_above_threshold(input_df, inferrer_list,\n                                                       threshold)\n    test_util.assert_dataframes_equal(self, actual, expected)\n\n  def testGetPredsAboveThresholdRaisesOnZeroThreshold(self):\n    inferrer_list = []\n    input_df = pd.DataFrame()\n\n    with self.assertRaisesRegex(ValueError, '0'):\n      inference.get_preds_at_or_above_threshold(input_df, inferrer_list, 0.)\n\n\nif __name__ == '__main__':\n  absltest.main()\n"
  },
  {
    "path": "install_models.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Download models and associated metadata.\"\"\"\n\nimport logging\nimport os\nfrom typing import Optional, Text\nimport urllib\n\nfrom absl import app\nfrom absl import flags\nimport utils\nimport tensorflow.compat.v1 as tf\nimport tqdm\n\n_logger = logging.getLogger('proteinfer')\n\nFLAGS = flags.FLAGS\n\nflags.DEFINE_bool(\n    'install_ensemble', False,\n    'Set to true to install an ensemble of models, not just one. '\n    'More ensemble elements takes more time, but tends to be more accurate.')\nflags.DEFINE_string('model_cache_path', 'cached_models',\n                    'Path to which to store downloaded models and metadata.')\n\n\ndef download_models(model_cache_path,\n                    num_ensemble_elements = None):\n  \"\"\"Downloads Pfam, EC and GO models, defaulting to downloading ensembles.\"\"\"\n  _logger.info('Downloading models')\n\n  for model_type in tqdm.tqdm(['Pfam', 'EC', 'GO'],\n                              desc='Overall progress',\n                              position=1,\n                              leave=True):\n    utils.fetch_oss_pretrained_models(\n        model_type,\n        model_cache_path,\n        num_ensemble_elements=num_ensemble_elements)\n\n  print('\\n')  # Because the tqdm bar is position 1, we need to print a newline.\n\n\ndef get_description_file(model_cache_path):\n  out_path = os.path.join(model_cache_path,\n                          utils.INSTALLED_LABEL_DESCRIPTION_FILE_NAME)\n  with tf.io.gfile.GFile(out_path, 'wb') as out_file:\n    with urllib.request.urlopen(utils.LABEL_DESCRIPTION_URL) as url_contents:\n      out_file.write(url_contents.read())\n\n\ndef run(install_ensemble, model_cache_path):\n  \"\"\"Download and untar models and metadata.\"\"\"\n  if install_ensemble:\n    _logger.warning('Full installation downloads and unpacks ~10GB of data; '\n                    'Download time may take up to a half hour on '\n                    'slow internet connections. If you are looking for '\n                    'a lighter-weight installation or are a new user, we '\n                    'recommend running without the flag --install_ensemble '\n                    'set.')\n    download_models(\n        model_cache_path,\n        num_ensemble_elements=utils.MAX_NUM_ENSEMBLE_ELS_FOR_INFERENCE)\n  else:\n    download_models(model_cache_path, num_ensemble_elements=1)\n  get_description_file(model_cache_path)\n\n\ndef main(_):\n  run(install_ensemble=FLAGS.install_ensemble,\n      model_cache_path=FLAGS.model_cache_path)\n\n\nif __name__ == '__main__':\n  _logger.info('Process started.')\n  app.run(main)\n"
  },
  {
    "path": "misc/price_et_al_table_s12.csv",
    "content": "Category,organism,orgId,locusId,sysName,locus_tag,protein_id,uniprotId,new_annotation,comment,original_description,SEED_description,KEGG_description,protein_sequence\r\ncatabolism,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2078,,A1D30_RS07410,WP_063460136.1,tr|A0A165KQE5|A0A165KQE5_9BURK,D-mannose isomerase (EC 5.3.1.7),Specifically important for: D-Mannitol; D-Mannose. Often annotated as N-acylglucosamine 2-epimerase instead (SEED_correct),D-mannose isomerase (EC 5.3.1.7),D-mannose isomerase (EC 5.3.1.7),,MAIPPYPDFRSAAFLRQHLRATMAFYDPVATDASGGQFHFFLDDGTVYNTHTRHLVSATRFVVTHAMLYRTTGEARYQVGMRHALEFLRTAFLDPATGGYAWLIDWQDGRATVQDTTRHCYGMAFVMLAYARAYEAGVPEARVWLAEAFDTAEQHFWQPAAGLYADEASPDWQLTSYRGQNANMHACEAMISAFRATGERRYIERAEQLAQGICQRQAALSDRTHAPAAEGWVWEHFHADWSVDWDYNRHDRSNIFRPWGYQVGHQTEWAKLLLQLDALLPADWHLPCAQRLFDTAVERGWDAEHGGLYYGMAPDGSICDDGKYHWVQAESMAAAAVLAVRTGDARYWQWYDRIWAYCWAHFVDHEHGAWFRILHRDNRNTTREKSNAGKVDYHNMGACYDVLLWALDAPGFSKESRSAALGRP\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2554,,A1D30_RS09780,WP_063460535.1,tr|A0A162DKX0|A0A162DKX0_9BURK,\"ABC transporter for L-Histidine, permease component 1\",Specific phenotypes on L-Histidine. In a gene cluster that also includes hutD and imidazolonepropionase. Some subunits are annotated as transporting glutamine.,\"Amino acid ABC transporter, permease protein\",\"Amino acid ABC transporter, permease protein\",polar amino acid transport system permease protein,MELDFSPVWAGVPQLLAGALVTVEITAASLLLGCVMGLLVGIGRLNPKRRVVYALCTAYVAAIRGTPLLVQLFILFFGLPQFGILLPAFVCGVIGLGIYSGAYVSEVVRGAIQSIDKGQMEAARSIGMSSGLAMRTVVLPQAVVRMIPPLGNEFIALIKNSALVSLLTIHDLMHEGQKIISVSYRSLEVYLAIAVVYFILTGATTLVLRRIELRLRAGGMVQ\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2555,,A1D30_RS09785,WP_063460536.1,tr|A0A165KWF3|A0A165KWF3_9BURK,\"ABC transporter for L-Histidine, periplasmic substrate-binding component 1\",\"Specific phenotype on L-Histidine. Do not understand why there seem to be two substrate binding proteins for this ABC transporter. Both SBPs have signal peptides, so they seem unlikely to be involved in efflux of a waste product instead.\",\"Glutamine ABC transporter, periplasmic glutamine-binding protein (TC 3.A.1.3.2)\",\"Glutamine ABC transporter, periplasmic glutamine-binding protein (TC 3.A.1.3.2)\",polar amino acid transport system substrate-binding protein,MNLRRNLLLASLAAAAFCTTGAQAQDNVLRVGTDATFPPMEFVENGKRTGFDIELVEAIAKTMGKQVEWVDIDFKGLIPGLISKRFDMAVSAIYITDERKKVVDFTDSYYAGGLVVMVKADNKAINKLADLDGKKVSVQVGTKSVSYLTEKFPKVQRVEVEKNQEMFNLVDIGRADAAVTGKPAAFQYVRTRPGLRVLDEQLTTEEYGMALRKDTPELTKAVNGAITKLKADGTYAAIVKKWFSNSAAK\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2560,,A1D30_RS09810,WP_063460541.1,tr|A0A165KWL1|A0A165KWL1_9BURK,\"ABC transporter for L-Histidine, ATPase component\",\"Specific phenotype on L-Histidine. There may also be a second ATPase component, Ac3H11_2553, but it has no fitness data\",\"Urea carboxylase-related ABC transporter, ATPase protein\",\"Urea carboxylase-related ABC transporter, ATPase protein\",sulfonate/nitrate/taurine transport system ATP-binding protein,MSSVSIQAVSRVFETAKGQRTQALQPVDFEVRDNDFVTILGPSGCGKSTLLRIVAGLDHATSGRVLLDGAPVEGPGAERGMVFQSYTLFPWLTIEQNIRFGLRERGMPEAQQKERAAYFIAKVGLRGFEQHFPKQLSGGMQQRTAIARALANDPKILLMDEPFGALDNQTRVLMQELLLGIWEAERKTVLFVTHDIDEAIFMANRVAVFSARPGRIKTELAVDLPHPRHYTIKTSPEFMDLKARLTEEIRAESMAADLH\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2561,,A1D30_RS09815,WP_063460542.1,tr|A0A165KWL8|A0A165KWL8_9BURK,\"ABC transporter for L-Histidine, permease component 2\",Specific phenotypes on L-Histidine. In a gene cluster that also includes hutD and  imidazolonepropionase. Some subunits are annotated as transporting glutamine.,\"ABC transporter, permease protein\",\"ABC transporter, permease protein\",sulfonate/nitrate/taurine transport system permease protein,VSARARWMLGLAFFVVFVAVWAFFTLGGFVSPTFLASPITMAKEGWLLFTEYGFIKDIGMTIWRVVGGFVLAAVIAVPLGIAMGAYKGIEAFFEPFISFCRYLPASAFIPLLILWAGIGEAQKILVIFIGSVFQITLMVAVTVGGARRDLVEAAYTLGAGHKGIVTRVLIPGAAPEIAETLRLVLGWAWTYVIVAELIGSSSGIGHMITDSQSLLNTGQIIFGIIIIGLIGLVSDFAFKALNHRLFAWSFVR\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2562,,A1D30_RS09820,WP_082836420.1,tr|A0A165KWM6|A0A165KWM6_9BURK,\"ABC transporter for L-Histidine, periplasmic substrate-binding component 2\",\"Specific phenotype on L-Histidine. Do not understand why there seem to be two substrate binding proteins for this ABC transporter. Both SBPs have signal peptides, so they seem unlikely to be involved in efflux of a waste product instead.\",ABC transporter substrate-binding protein,ABC transporter substrate-binding protein,sulfonate/nitrate/taurine transport system substrate-binding protein,MTRSVVKWTSLAAAAACVMALAAPAQAQDTKIVLGMSGWTGFAPLTLADKAGIFKKNGLDVEIKMIPQKDRHLALASKSIQCAATTVETHVAWNANGVPIVQIFQMDKSYGADGIAVRGDIKSFADLKGKTIGVDAPGTAPYFGLAWMLSKNGMSLKDVKTTTLSPQAAAQAFVAGQNDAAMTYEPYLSTVRDNPAAGKILATTLDYPMVMDTVGCDPTWLKANGKAAQALANSYFQALDMIKADPAKSNEIMGAAVKQTGEQFAKSSSFLRWQDKAANQKFFAGELTTFMKDATAILLEAGIIRKANEDLAVTFDASFIK\r\ncatabolism,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2940,,A1D30_RS11765,WP_063460789.1,tr|A0A165L336|A0A165L336_9BURK,D-sorbitol 2-dehydrogenase (EC 1.1.1.14),\"Specifically important for: D-Sorbitol. Annotated as ribitol dehydrogenase; it could well have both activities, as with AT5G51970\",Ribitol 2-dehydrogenase (EC 1.1.1.56),Ribitol 2-dehydrogenase (EC 1.1.1.56),ribitol 2-dehydrogenase,MSAARNLQGQVAAITGAASGIGFASAQTMADAGARVVLIDRDEAALAKACATIGPNALPLVLDLLDARQCASLLQRTLALAGQLDIFHANAGLYVGGDLVDADPDAIDRMLNLNVNVVMKNVHNVLPHMIERGTGDIIVTSSLAAHFPTPWEPVYASSKWAVNCFVQTVRRQVFKHGIRVGSISPGPVITSLLADWPAEKLAEAKASGSLIEAAEVAEVVLFMLTRPRGMTIRDVVMMPTNFDL\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2941,,A1D30_RS11770,WP_063460790.1,tr|A0A165L344|A0A165L344_9BURK,\"ABC transporter for D-Sorbitol, ATPase component\",Specific phenotypes on D-Sorbitol.,\"Various polyols ABC transporter, ATP-binding component\",\"Various polyols ABC transporter, ATP-binding component\",,MAYLQLRGIEKFFGEHRAIKGIDLTIQQGEFIVFVGPSGCGKSTLLRLIAGLEAIDGGSLMLDGRDITDQPSSKRDLAMVFQSYALYPHMSVYENMSFALKLAKVDKQVIDEKVQNAARILNLTQYLQRTPKELSGGQRQRVAIGRAIVRAPKVFLFDEPLSNLDAALRGQTRVEIAKLHRDLGATTIYVTHDQVEAMTLADRVVVLRDGIIEQVGTPLELYDKPANQFVAQFIGTPQMNVVPVDKLPQPVQQQAPAAPAGAAVGAIGLRPENITVRTTGATPVGGQVDLIEALGAETLIYVTTPGGAQFVSRQNDRTDLRVGDAVSLDIDASQAHWFDTAGRVVAGHAA\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2942,,A1D30_RS11775,WP_063460791.1,tr|A0A165L353|A0A165L353_9BURK,\"ABC transporter for D-Sorbitol, permease component 1\",\"Specific phenotypes on D-Sorbitol. homolog in P. simiae WCS417 is important for mannitol and mannose as well, but in acidovorax, no phenotype on mannitol\",\"Various polyols ABC transporter, permease component 2\",\"Various polyols ABC transporter, permease component 2\",sorbitol/mannitol transport system permease protein,MTVRRRSNFPLGLLALRTAAAWGVALLLFFPLGWLFLTAFKTELQAIAVPPLFVFTPTLENFHEVQERSDYLLYAKNSVITSVLSTVLGLMLAAPAAYAMAFFKGKYTKDILMWMLSTKMMPAVGALVPIYVLAQKSHLLDTQLALIIVFALSNLPIMVWMLYSHFKDIPHEILEAARMDGATLWQEVRLVLLPLGMGGLASTGLLCLVLSWNEAFWSLNLSAAKAGTLATLIASYSSPEGLFWAKLSAASLMAIAPIVVFGWFSQKQLVQGLTFGAVK\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2943,,A1D30_RS11780,WP_063460792.1,tr|A0A165L360|A0A165L360_9BURK,\"ABC transporter for D-Sorbitol, permease component 2\",\"Specific phenotypes on D-Sorbitol. homolog in P. simiae WCS417 is important for mannitol and mannose as well, but in acidovorax, no phenotype on mannitol\",\"Various polyols ABC transporter, permease component 1\",\"Various polyols ABC transporter, permease component 1\",sorbitol/mannitol transport system permease protein,VELRTSPPIAHATACPFSAAFFRCFDGLSMNRRLLPRLLLTPAMATLFLWMIVPLVMTIYFSLIRYNLMQPDQTGFAGLENFEFFVTDPSFGTAVVNTILLLGSVILITVVLGVAIALLINEPFPGRGIVRVLLISPFFVMPTVNALMWKNMMMNPIYGVLAQVWIFFGAAPVDWLTDHPLFSVIVMVSWQWLPFATLIFMTALQSMNHEQLEASRMDGANYLQQLRYLYVPHLGRSVAVVVMIELIFLLSIFAEIYTTTAGGPGDASTNVTFLIFKQALLNFDAGVASAGALFAVVLANIAAVFLIRMVGKNLDK\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_2944,,A1D30_RS11785,WP_063460793.1,tr|A0A165L365|A0A165L365_9BURK,\"ABC transporter for D-Sorbitol, periplasmic substrate-binding component\",Specific phenotype on D-Sorbitol.,\"Various polyols ABC transporter, periplasmic substrate-binding protein\",\"Various polyols ABC transporter, periplasmic substrate-binding protein\",sorbitol/mannitol transport system substrate-binding protein,MPRSTRPHTRLALAAAALAASLCGAAAHAQTELVIATVNNGHMIEMQKLSKNFEQAHPDIKLKWVTLEEGVLRQRVTTDIATKGGQFDVMTIGMYEAPIWGKKGWLQELKTDAAYDVDDLLPAVRNGLSIDGKLFAAPFYGESSMLMYRKDLADKAGVQVPERPTWPQIKDLAAKIHDPKNGVYGICLRGKPGWGDNMAFLSTLVNTFGGQWFDMQWKPQLESKPWKEAITFYVDLLKNYGPPGSSANSFNEILALTNSGKCGMWIDATIAASFVSDPKQSKVADQMAFAQAPTMNTPKGANWLWSWNLAIPAGSKKVDAAQKFITWSTSKEYVQLVAKTNGWANVPTGTRKSTYASPEFQKAARFAAAEKVAIDSANPTDSTLPKSPYVGVQFAAIPEFQAIGIAVGQQMSAALAGKTTVDAALKASQVSADREMKKAGYYK\r\ncatabolism,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_603,,A1D30_RS22575,WP_063462980.1,tr|A0A165IRK1|A0A165IRK1_9BURK,L-2-keto-3-deoxyarabonate dehydratase (EC 4.2.1.43),\"Specifically important for L-arabinose utilization and 80% similar to araD from A. brasilense (KDADA_AZOBR, PMID:16950779). This gene is also important for D-galactose utilization, which might be due to polar effects. SEED_correct\",L-2-keto-3-deoxyarabonate dehydratase (EC 4.2.1.43),L-2-keto-3-deoxyarabonate dehydratase (EC 4.2.1.43),dihydrodipicolinate synthase,VPTTFHEDGTLDLDSQKRCLDFMIDAGVDGVCILANFSEQFSLSDAEREVLTRTSLEHVAGRVPVIVTTTHYGTRVCAERSRAAQDMGAAMVMVMPPYHGATFRVPEAQIYEFYARVSDAIRIPIMVQDAPASGTVLSAPFLARMAQEIENLAYFKIEVPGAASKLRELIRLGGDAIEGPWDGEEAITLLADLDAGATGAMTGGAFPDGIRPIIEAHRQGDMDQAFALYQRWLPLINHENRQGGILTAKALMKEGGVIACEAGRHPFPAMHPEVRRGLVDIARRLDPLVLRWAR\r\ncatabolism,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_614,,A1D30_RS22630,WP_063462990.1,tr|A0A165IRU8|A0A165IRU8_9BURK,L-arabinose 1-dehydrogenase; D-galactose 1-dehydrogenase (EC 1.1.1.46; EC 1.1.1.48),Specifically important for: D-Galactose; L-Arabinose. Some other dehydrogenases are known to act on both of these substrates,Putative oxidoreductase in arabinose utilization cluster,Putative oxidoreductase in arabinose utilization cluster,,LIDCNIDMTQLFAPSSSSTDATGAPQGLAKFPSLQGRAVFVTGGGSGIGAAIVAAFAEQGARVAFVDVAREASEALAQHIADAGLPRPWWRVCDVRDVQALQACMADAAAELGSDFAVLVNNVASDDRHTLESVTPEYYDERMAINERPAFFAIQAVVPGMRRLGAGSVINLGSTGWQGKGTGYPCYAIAKSSVNGLTRGLAKTLGQDRIRINTVSPGWVMTERQIKLWLDAEGEKELARNQCLPDKLRPHDIARMVLFLASDDAAMCTAQEFKVDAGWV\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_791,,A1D30_RS19405,WP_063462373.1,tr|A0A165JCN6|A0A165JCN6_9BURK,\"ABC transporter for Glycerol, ATPase component 1\",Specific phenotype on Glycerol; D-Galactose. Has a TOBE domain after the ATPase domain. The phenotype on galactose is not explained.,\"Glycerol-3-phosphate ABC transporter, ATP-binding protein UgpC (TC 3.A.1.1.3)\",\"Glycerol-3-phosphate ABC transporter, ATP-binding protein UgpC (TC 3.A.1.1.3)\",multiple sugar transport system ATP-binding protein,MQLALDSISKKVGAQTWLYDMSLALQSGAVTVLLGATQAGKTSLMRIMAGLDAPTAGRVTVDGKDVTGMPVRDRNVAMVYQQFINYPSMKVAANIASPLKLRGEKNIDARVREIASRLHIDMFLDRYPAELSGGQQQRVALARALAKGAPLMLLDEPLVNLDYKLREELREELTQLFAAGQSTVVYATTEPGEALLLGGYTAVLDEGQLLQYGPTAEVFHAPNSLRVARAFSDPPMNLMAASATAQGVRLQGGAELTLPLPQGAATAAGLTVGVRASALRVHARPGDVSVAGVVELAEISGSDTFVHASTPWGDLVAQLTGVHYFELGTAITLHLDPAQAYVFGADGRLAQAPARPVTAQGGR\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_792,,A1D30_RS19410,WP_063462374.1,tr|A0A165JCR1|A0A165JCR1_9BURK,\"ABC transporter for Glycerol, ATPase component 2\",\"Specific phenotype on Glycerol.  Has a TOBE domain after the ATPase domain. Also mildly important on phenotype on galactose, which is not explained.\",\"Glycerol-3-phosphate ABC transporter, ATP-binding protein UgpC (TC 3.A.1.1.3)\",\"Glycerol-3-phosphate ABC transporter, ATP-binding protein UgpC (TC 3.A.1.1.3)\",multiple sugar transport system ATP-binding protein,MARISLDLAHSYKPNPQQDSDYALLPLKMEFEDGGAYALLGPSGCGKTTMLNIMSGLLVPSHGKVLFDGRDVTRASPQERNIAQVFQFPVIYDTMTVAENLAFPLRNRKVPEGQIKQRVGVIAEMLEMSGQLNQRAAGLAADAKQKISLGRGLVRADVAAVLFDEPLTVIDPHLKWQLRRKLKQIHHELKLTLIYVTHDQVEALTFADQVVVMTRGKAVQVGSADALFERPAHTFVGHFIGSPGMNFLPAHRDGENLSVAGHRLASPVGRALPAGALQVGIRPEYLALAQPQQAGALPGTVVQVQDIGTYQMLTAKVGEHTVKARFTPETRLPSSGDTAWLQVLGEHTCYYKNEELLA\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_793,,A1D30_RS19415,WP_063462375.1,tr|A0A165JCS4|A0A165JCS4_9BURK,\"ABC transporter for Glycerol, permease component 1\",Specific phenotypes on Glycerol. in a gene cluster for glycerol utilization; see phenotype on both strands,\"Glycerol-3-phosphate ABC transporter, permease protein UgpA (TC 3.A.1.1.3)\",\"Glycerol-3-phosphate ABC transporter, permease protein UgpA (TC 3.A.1.1.3)\",multiple sugar transport system permease protein,MSTTTKPVNQKAWFLILPVIICVAFSAILPLMTVVNYSVQDIISPERRVFVGTEWFAAVMRDEELHAALWRQLTFSLAVLAVEIPLGILLALSMPAQGWKSSAVLVVVALSLLIPWNVVGTIWQIYGRADIGLMGRMLQEMGIEYSYTGNATQAWLTVLLMDVWHWTPLVALLAFAGLRSIPDAYYQAARIDGASKFAVFRYIQLPKMRGVLMIAVLLRFMDSFMIYTEPFVLTGGGPGNATTFLSQYLTTKAVGQFDLGPAAAFSLIYFFIILLLCFILYNWMQRVGTVSDEGAGHE\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_794,,A1D30_RS19420,WP_063462376.1,tr|A0A165JCS9|A0A165JCS9_9BURK,\"ABC transporter for Glycerol, permease component 2\",Specific phenotype on Glycerol.,\"Glycerol-3-phosphate ABC transporter, permease protein UgpE (TC 3.A.1.1.3)\",\"Glycerol-3-phosphate ABC transporter, permease protein UgpE (TC 3.A.1.1.3)\",multiple sugar transport system permease protein,MNEKRFQKRTLFLIAYLLFALLPIYWMVNMSFKTNAEILSTFSFFPQHFTWDNYKTIFTDESWYSGYINSLIYVSINMVITLTVALPAAYAFSRYSFLGDKHVFFWLLTNRMTPPAVFLLPFFQLYTTVGLMDTHIAVALAHLLFSVPLAVWILEGFMSGIPREIDETAYIDGYSFPRFFMTIFLPLIKAGVGVAAFFCFMFSWVELLLARTLTSVNAKPIVATMTRTVSASGMDWATLAAAGVLTIVPGAIVIWFVRHYIAKGFAMGRV\r\ntransporters,Acidovorax sp. GW101-3H11,acidovorax_3H11,Ac3H11_796,,A1D30_RS19430,WP_063462378.1,tr|A0A165JCU2|A0A165JCU2_9BURK,\"ABC transporter for Glycerol, periplasmic substrate-binding component\",\"Specific phenotype on Glycerol. Has signal peptide but not transmembrane helices, and CDD confirms it in the SBP family, not a permease as sometimes annotated\",\"Glycerol-3-phosphate ABC transporter, permease protein UgpA (TC 3.A.1.1.3)\",\"Glycerol-3-phosphate ABC transporter, permease protein UgpA (TC 3.A.1.1.3)\",multiple sugar transport system substrate-binding protein,MKMQFKAIAFAAAALAMGQAAWAGEAEAKKWIDSEFQPSTLNKDQQMAEMKWFIDAAKKLQAKGVKEISVVSETITTHEYESKTLAKAFEEITGIKVKHDLIQEGDVVEKLQTSMQSGKSIYDGWISDSDLIGTHYRYGKIMNLTDYMGGAGKEWTNPGIDLKDYIGTKFTTGPDGKLYQLPDQQFANLYWFRADLFDRKDIKDKFKAKYGYDLGVPLNWSAYEDIAEFFTNDVKNIDGKPIYGHMDYGKKDPSLGWRFTDAWLSMAGTADIGAPNGLPIDEWGIRVADDKCTPVGASVARGGATNSPAAVYALTKYVDWMKKYAPKEATGMTFGEAGPVPAQGQIAQQIFWYTAFTADMTKPGLPVVNADGTPKWRMAPGPNGPYWKQGMQNGYQDVGSWTFFKDHDANKTAAAWLYAQFVTAKTTSLKKTMVGLTPIRESDIQSKAMTDMAPKLGGLVEFYRSPARVAWSPTGTNVPDYPKLAQLWWKNVAQAVTGEKTPQGAMDTLADEMDQVMARLERAGMAHCAPKLNAKSDPNKWLSDKQAPWKKLANEKPKGETIAYGTLLQAWKDGKTR\r\ntransporters,Shewanella sp. ANA-3,ANA3,7022816,Shewana3_0067,SHEWANA3_RS00365,WP_011715352.1,tr|A0KR93|A0KR93_SHESA,sucrose permease scrT,\"specific phenotype on sucrose; 82% identical to the sucrose transporter scrTII or Sfri_3989, which was validated by complementation (PMCID:PMC2996990); SEED_correct\",major facilitator transporter (RefSeq),\"Predicted sucrose permease, MFS family, FucP subfamily\",,MVSDSNSVENRHHTRIRVLTYLMFFMFAMTSDAVGVIIPQLISEFGLSLSQASAFHYMPMIFIAISGLFLGFLADKIGRKLTILLGLLLFAIACFLFALGESFYYFLLLLALVGLAIGVFKTGALALIGDISRSTKQHSSTMNTVEGFFGVGAMVGPAIVSYLLISGVSWKYLYFGAGVFCLLLCWLAFRADYPQVKRSSTETINLTNTFSMMKNPYALGFSLAIGLYVATEVAIYVWMPSLLQEYQGDYTVLAAYALTIFFTLRAGGRFLGGWILNHFSWQQVMFWFSLAISLCYLGSMLYGVEAAVILLPLSGLFMSMMYPTLNSKGISCFPVAQHGSVAGVILFFTAVSAALAPLCMGLVGDIFGHVKYGFYLATGFAVLLCLLAGVNLIKDPSQALLSRETA\r\ncatabolism,Shewanella sp. ANA-3,ANA3,7024896,Shewana3_2070,SHEWANA3_RS10895,WP_041412631.1,tr|A0KWY1|A0KWY1_SHESA,L-arabonate dehydratase (EC 4.2.1.25),Specifically important for: L-Arabinose. L-arabonate is an intermediate in the oxidation of L-arabinose (SEED_correct),dihydroxy-acid dehydratase (RefSeq),L-arabonate dehydratase (EC 4.2.1.25),dihydroxy-acid dehydratase,MCLGRRRCHMNNKKPKTLRSASWFGSDDKNGFMYRSWMKNQGIPEHHFQNKPVIGICNTWSELTPCNGHLRELAQRVKNGIREAGGIPVEFPVFSNGESNLRPSAMLTRNLAAMDTEEAIRGNPIDGVVLLVGCDKTTPALLMGAASCDLPTIVVTGGPMLNGKHKGKDVGSGTLVWELHQEYKAGNISLAAFMNAEADMSRSTGTCNTMGTASTMACMVETLGVSLPHNATIPAVDSRRQVLAHMSGMRIVDMVKEDLTLSKILSRDAFINAIKVNAAIGGSTNAVIHLKAIAGRIGVELSLDDWRHGYTVPTIVNLKPSGQYLMEDFYYAGGLPAVLRQLFEHDLLSKNTLTVNAASLWDNVKEAPCYNQEVIMSLENPLVENGGIRVLRGNLAPRGAVIKPSAASAHLMQHRGKAVVFESFDDYNARIGDPELDIDENSIMVLKNCGPKGYPGMAEVGNMGLPPKLLKKGIKDMVRISDARMSGTAFGTVVLHVAPEAQALGPLAAVQNGDMIALDTYAGTLQLEISDQELQARLAKLATVKSIPVNGGYLSLFKEHVLQADEGCDFDFLVGCRGAEIPAHSH\r\ncatabolism,Shewanella sp. ANA-3,ANA3,7024897,Shewana3_2071,SHEWANA3_RS10900,WP_011717047.1,tr|A0KWY2|A0KWY2_SHESA,L-arabinose 1-dehydrogenase (EC 1.1.1.46),\"Specifically important for: L-Arabinose. Also, was correctly annotated by PMID:20836887\",short-chain dehydrogenase/reductase SDR (RefSeq),Putative oxidoreductase in arabinose utilization cluster,,MKLTNQYPSLQGKTIFISGGATGIGACLVNAFLEQGAKVAFVDILVEESTQLVADLKQTQPEASVTFYHCDLVDIAALKRVIAQVEDDLGPISVLINNAACDQRHSIDEVTPEYWDQCLNTNLRHYFFAVQAVRPQMQRLGGGSVINLGSMSWHNRQAGMAGYTASKAGAMGLTRGLAADLGKDKIRINTLTPGWVMTKRQLTHWVDKDTAKHIENNQCIKEYVMPEDIAAMALFLAADDSKLCTAQNFIVDGGWI\r\ncatabolism,Shewanella sp. ANA-3,ANA3,7024898,Shewana3_2072,SHEWANA3_RS10905,WP_011717048.1,tr|A0KWY3|A0KWY3_SHESA,L-arabinose 1-epimerase (mutarotase) (EC 5.1.3.3),Specifically important for: L-Arabinose. Was correctly annotated by PMID:20836887 (more specific than EC number); (SEED_correct),aldose 1-epimerase (RefSeq),L-arabinose-specific 1-epimerase (mutarotase),aldose 1-epimerase,MQLSVTQKSLQHAAFADELQLVTLTNSHGLEVVLSNYGASIWSVKLYGQAQEPISLSLGYQDIKDWVTNPYYFGITAGRVANRIGKAQFPLAGKTIQLVANEGNNQLHGGPKGLSHCTWQVEMLQDNDSVAAVFSITSPDGDQGFPGNLAITLEYRLNENNELTLNYQAVCDQTTPVCLTNHAYWNLASNKQQGILGHELSIQASHFLALDNEQIPTGELILVDDGAYDFKQPKLIATDIKQLTNGYDHYFVMDRNPDNKNSLQTIAVLKDPLSGRELEISTTEVGVQFYSGNFLDGSHIDDEGYSINQFHGLCLETHGYPNAVNIDHFPSVMLEANTQYQQITVHKFKNI\r\ncatabolism,Shewanella sp. ANA-3,ANA3,7024914,Shewana3_2088,SHEWANA3_RS10985,WP_011717064.1,tr|A0KWZ9|A0KWZ9_SHESA,L-arabinolactonase (EC 3.1.1.15),Important on L-arabinose; Was correctly annotated by PMID:20836887 (SEED_correct),hypothetical protein (RefSeq),L-arabinolactonase (EC 3.1.1.15),,MQTVTVGELLMTIPVGNRLGEGVLWDDLHQSIWWTDILSSVIYRFHLASRSLETFPMPHRVGSFGLTAKPTTLIVAFDIGIAIYDIEDQSLTWLAQPESHFAGNRFNDGRIDRQGRFWAGTMVEQRDTLQQTAALYCLDEKGHCHQHLTNLEISNGLCWSVDGRTLYHADSPKHQIYQYDFDIEQGLLSRKRLFASTSHHIFPDGSDVDAAGYLWNAQWGGGQVVRYRPDGEVDLILKLPVTHPTSIAFGGEKRDLLIVTSAKHSLDASQLDQEPQAGDVFIYPLQGIYGVNSPRFCGQL\r\ncatabolism,Shewanella sp. ANA-3,ANA3,7025618,Shewana3_2769,SHEWANA3_RS14565,WP_011717648.1,tr|A0KYX7|A0KYX7_SHESA,Branched-chain acyl-CoA dehydrogenase (EC 1.3.99.12),Specifically important for: L-Isoleucine. specificity for isoleucine indicates that 2-methylbutanoyl-CoA is a substrate (SEED_correct),acyl-CoA dehydrogenase domain-containing protein (RefSeq),Branched-chain acyl-CoA dehydrogenase (EC 1.3.99.12),,MDFNFNEDQRQFADLARQFAADELAPFAAKWDEEHHFPKDVIQKAGELGFCSLYSPESEGGMGLSRLDASIIFEELSKGCTATTAMLTIHNMATWMVTTWGTDTLRQAWSEPLTTGQMLASYCLTEPGAGSDAASLQTKAVREGDEYVVSGSKMFISGAGSTELLVVMCRTGQAGPKGISAIAIPADSEGIIYGKAEDKMGWNAQPTRLVTFDNVRVPVANLLGEEGQGFTFAMKGLDGGRINIATCSVGTAQAALERATQYMNERQQFGKPLAAFQALQFKLADMATELVAARQMVRLAAFKLDSGDPEATAYCAMAKRFATDVGFQVCDAALQIHGGYGYIREYPLERHFRDVRVHQILEGTNEIMRLIIARRLLDENAGQIL\r\ntransporters,Shewanella sp. ANA-3,ANA3,7025962,Shewana3_3110,SHEWANA3_RS16315,WP_011717943.1,tr|A0KZW5|A0KZW5_SHESA,N-acetylglucosamine transporter nagP,\"specific phenotype on NAG and D-glucosamine. This protein is similar to SO3503, which was named nagP (PMID:16857666). There is another putative glucosamine transporter (nagX, Shewana3_3111) but the phenotype of 3110 on glucosamine does not seem to be a polar effect. (It is observed on both strands, conserved in S. amazonensis SB2B, and 3110 is downstream of nagX). It apears that both nagP and nagX might be required for glucosamine utilization. NagX has weak similarity to acyltransferases (Q3UDW8, or possibly opgC from Rhodobacter sphaeroides) so nagX might convert glucosamine into another compound before transport by nagP. (SEED_correct)\",glucose/galactose transporter (RefSeq),\"N-acetyl glucosamine transporter, NagP\",,MTLDKSQQKSSFLPMAIVAALFFILGFATWLNGSLMPYLKQILQLNPFQASLILFSFYIAVTFTALPSAWVIRKVGYKNGMALGMGIMMLAGLLFIPAAKTQIFGLFLCAQLVMGTGQTLLQTAVNPYVVRLGPEESAAARVSVMGILNKGAGVIAPLVFSALILDSFKDRIGTTLTQVQIDEMANSLVFPYLGMAIFIGVLALAVKKSPLPELSNEDEVAEHTDKGQIKAALSHPNLAFGVIALFVYVAVEVIAGDTIGTFALSLGVEHYGVMTSYTMVCMVLGYTLGIILIPRFISQPTALMISAILGLLLTLAILFGDNNSYAIANALLVPFGGVALPDTLLFIAFLGLANAIVWPAVWPLALSGLGKLTSTGSALLIMGIAGGAFGPLFWGLTSSATDMGQQGGYMVMLPCYLFILFYAVKGHKMRHW\r\ncatabolism,Shewanella sp. ANA-3,ANA3,7025966,Shewana3_3114,SHEWANA3_RS16335,WP_011717945.1,tr|A0KZW9|A0KZW9_SHESA,N-acetylglucosamine kinase (EC 2.7.1.59),\"Specifically important for: D-Glucosamine Hydrochloride; N-Acetyl-D-Glucosamine. The first step in NAG catabolism. The phenotype on glucosamine is strong and is present on both strands, but is not conserved. It may be a polar effect. (SEED_correct)\",\"ATPase, BadF/BadG/BcrA/BcrD type (RefSeq)\",N-acetylglucosamine kinase of eukaryotic type (EC 2.7.1.59),,MGLVQTKDQQLFIGVDGGGSKCRATIYTADGTVLGTGVAGRANPLHGLAQTFASIEASTRQALLDAGMKETDSHLLVAGLGLAGVNVPRLYQDVISWQHPFAAMYVTTDLHTACIGAHRGADGAVIITGTGSCGYAHVGDDSLSIGGHGFALGDKGSGAWLGLKAAEHVLLALDGFATPTALTEMLLKHFGVSDALGIVEHLAGKSSSCYAELARSVLDCANAGDEVARGIVQEGADYISEMARKLFSLNPVRFSMIGGLAEPLQAWLGSDVVAKISETLAPPELGAMYFAQQQFNSVNINE\r\ntransporters,Shewanella sp. ANA-3,ANA3,7026137,Shewana3_3279,SHEWANA3_RS17205,WP_011718086.1,tr|A0L0D4|A0L0D4_SHESA,\"Vitamin B12 transporter, permease component (fecCD-like)\",This protein is cofit with the B12-dependent methionine synthase MetH and is FecCD-like. It  probably works with Shewana3_3280 (ABC transporter domain protein with similar phenotypes) and  Shewana3_3272 (periplasmic binding protein). This protein is similar to SO_1033 which is also involved in B12 uptake (it is strongly cofit with metH; also see PMCid:PMC3219624),transport system permease protein (RefSeq),\"ABC transporter (iron.B12.siderophore.hemin) , permease component\",iron complex transport system permease protein,MIDTLKLVTMNFFSHIFTPLTRQQWLILGLAGFALLTPIAAASFGAANISFLDVLQVFINKLSHLFMADEAVSTSMTERIVMELRLPRIILAFVAGAGLSLAGSVLQTVTRNPLADPYLFGISSGASFGAVVMLTLFTGSGLFGNAGTIANSGIFSGSGTFAGLLWFSLPFGAFIGASLSVLIVLALAGLGLKSQVERMLLSGVATSFMFSALTSLLLYFASPQATASVLFWSLGSFAKASWSLLVLPSLVVLLSFFIILGWKRQIMALQAGDETAHTLGVNVPKLRLNMLLLCSLITAILVATCGGIGFVGLMIPHTVRLLFPGRQPILLTALVGGLFMVWIDVLARCLLGNQELPVGIITAAIGSFFFLLILRRRKLSN\r\ncatabolism,Azospirillum brasilense Sp245,azobra,AZOBR_RS05755,AZOBR_RS05755,AZOBR_RS05755,WP_014239822.1,tr|G8AJX1|G8AJX1_AZOBR,Butyryl-CoA dehydrogenase (EC 1.3.8.7),\"Specifically important for: Sodium butyrate. KEGG's annotation of azl:AZL_005040 has been updated to 3-(methylthio)propanoyl-CoA dehydrogenase [EC:1.3.8.-], which is questionable; phenotype indicates that butyryl-CoA is a substrate (SEED_correct)\",acyl-CoA dehydrogenase,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MIPYTAPVDDLRFVLNEVVGLETVAALPNCDSAAPDLVDAVLEEAGKFASGVLAPLNRVGDKEGSVLENGVVRTPTGWKDAYSQFTESGWNSLPFEPEYGGQGLPWTVAFAVNEMWQAANLSFGLCPLLTQGAVDLLTEHASAEQKALYLPKMIAGEWNGTMNLTEPQAGSDLAAVRTRAVRADDGTYRITGQKIFITYGEHDLTDNIVHLVLARLPDAPPGIKGISLFIVPKFLPNADGTPGARNDLRCASLEHKLGIMASPTAVMAFGDDGGAVGFLVGQENRGIEYMFTMMNNARLGVGIQGVAIAERAYQQARDYAKGRVQSKDLADPKGSGVAIIRHPDVRRMLLDMRAKTEAARALALYAGTQLDVSRHHEDATVRAAATARVDILTPIVKAWSTDIGCDVASTGVQIHGGMGFIEETGAAQHYRDARITPIYEGTNGIHANDLTFRKTGRDGGESARTFIAEMRATVAELESIPGDDMEAIRTNLSAGLDALEQAVAWVVKTQADGDLRAAAAGAVNYLKLWGTVAGGWMLARSAAKALEGLRQPGANAPFLEAKLVTARFYAEQILAQGPGLLLPILTAHRTVMALSEDQF\r\ntransporters,Azospirillum brasilense Sp245,azobra,AZOBR_RS08235,AZOBR_RS08235,AZOBR_RS08235,WP_014240349.1,tr|G8ALI8|G8ALI8_AZOBR,\"L-proline and D-alanine ABC transporter, permease component 1\",specific phenotype on L-proline and D-alanine and cofit with other subunits nearby,branched-chain amino acid transporter permease subunit LivH,High-affinity branched-chain amino acid transport system permease protein LivH (TC 3.A.1.4.1),,MEYFLQQLINGLSLGAIYGLIAIGYTMVYGIIGMINFAHGEIYMIGAFVALITFLAIGSLGITWVPLALLVMLVASMLFTAVYGWTVERIAYRPLRSSPRLAPLISAIGMSIFLQNYVQILQGARSKPLQPILPGNLTLMDGAVSVSYVRLATIVITIALMYGFTQLITRTSLGRAQRACEQDKKMAGLLGVNVDRVISLTFVMGAALAAVAGMMVLLIYGVIDFYIGFLAGVKAFTAAVLGGIGSLPGAMLGGVVIGLIEAFWSGYMGSEWKDVATFTILVLVLIFRPTGLLGRPEIEKV\r\ntransporters,Azospirillum brasilense Sp245,azobra,AZOBR_RS15920,AZOBR_RS15920,AZOBR_RS15920,WP_014197389.1,tr|G8AR25|G8AR25_AZOBR,Large component of TRAP-type D-gluconate transporter,\"specific phenotype on D-gluconic acid and cofit with other components nearby; 56% identical to SMa0250 of S. meliloti, which is required for gluconate utilization (PMCid:PMC2631997). Also is 56% identical to Atu2743 of A. tumefaciens, which takes up galacturonate (PMCid:PMC4751846), so this might also be a galacturonate transporter (we did not study galacturonate utilizaton in this organism)\",dehydroascorbate transporter,\"TRAP-type C4-dicarboxylate transport system, large permease component\",,MALAVFLSSLFGLMLLGMPIAFALMLTGVALMVHLDFFDAQLVAQNMLSGADNYPLMAVPFFILAGELMNAGGISQRIINLAVSLVGHIRGGLGYVTIGASVMLASLSGSAIADTAALATLLIPMMRDNGYPVPRSAGLIASGGIIAPIIPPSMPFIIFGVTTNTSISGLFMAGIVPGLLMGAGLVITWMFVVRGMTVKLQPKASWGERRTALVEGVWALALPVIIIGGLRGGIFTPTEAAVVAAVYSLVVALFVYRQVTLKDLVPLLVQAARTTSTVMFLCAAALVSSYMVTLADLPQQMNEMLAPLLHEPKLLMVAITLLLLAVGTVMDLTPTILVLGPVLTPLAAAAGIDPTYFGVMFVLTGTLGLIHPPVCTVLNVVCGVARISLESATRGIWPFLLTYLLLLCLLIAVPEIVTAPLAFFRH\r\ntransporters,Azospirillum brasilense Sp245,azobra,AZOBR_RS18550,AZOBR_RS18550,AZOBR_RS18550,WP_014197980.1,tr|G8AST9|G8AST9_AZOBR,\"ABC transporter for nitrate, ATPase component\",Specific phenotype on Sodium nitrate. (SEED_correct),ABC transporter ATPase,\"Nitrate ABC transporter, ATP-binding protein\",,MAILELKNVAKSYGGTEVLRGIDLSIAEGEFVAIVGFSGAGKTTLVNLMGGLAAPDAGTVLFRGAPVRGPGAERGVVFQNYSLMPWLSVKDNVALAVDAVHKGKPSPERGVLTRRAVETVGLGHATDRRPKELSGGMRQRVGFARALAMSPEMLLLDEPLSALDALTRAKLQDEIEAIWRKDRKTVVLITNDVDEAILLADRIIPLTPGPGATLGPAFAVDLPRPRDRTAVNHDPDFKRLRAEVTAWLMEAGASRAAAAVDESLTMPAATPITAAPPPKAYLAGQPGGLSDDRYVEFSRVTKTFATPKGPLTVVDGFDLKMRKGEFISLIGHSGCGKSTVLSMVAGLADVSSGGIVLDGKEVVGAGPDRAVVFQAPSLFPWLTALENVMLGVDRVYPQAGRGERNDIARYYLSRVGLGNAMHKTAAELSNGMKQRVGIARAFALSPKLLLLDEPFGMLDSLTRWELQEVLMEVWARTQVTAICVTHDVDEAILLADRVVMMSNGPNARIGHILEVDIPHPRTRQALLEHPRYYAYREELLNFLEGGHHGTVKAA\r\ntransporters,Azospirillum brasilense Sp245,azobra,AZOBR_RS18555,AZOBR_RS18555,AZOBR_RS18555,WP_014197981.1,tr|G8ASU0|G8ASU0_AZOBR,\"ABC transporter for nitrate, permease component\",Specific phenotypes on Sodium nitrate; Sodium nitrate. Other substrates proposed by KEGG )sulfonate and taurine) were not tested. (KEGG_correct),nitrate ABC transporter permease,,sulfonate/nitrate/taurine transport system permease protein,MTSVTEASTLSSAEAMRARRKARLAHALNRTAATLQIVGLGWLSPLLRMAAGDSPRQQGQELWQQMGVPLTALMLFLAAWAWLAPQVNTSLGAIPGPAQVWEQIGILHADHKAERAKEAAFYDRQAKRNAELLAKDPAAEVKTRPYAGKPTYLDQILTSLKTVFTGFLLGALVAVPLGVACGLSRTVNAAMNPLIQIFKPVSPLAWLPLVTMVVSATVSSDNPTFEKSFLTSAVTVTLCSLWPTLINTAVGVSSIDKDLMNVGKVLQLSGPTMVRRLVLPSALPYIFTGLRLSLGVGWMVLIAAEMLAQNPGLGKFVWDEFQNGSSSSLARIMVAVFTIGLIGFLLDRVMLAFQAAVSHTGTR\r\ntransporters,Azospirillum brasilense Sp245,azobra,AZOBR_RS18560,AZOBR_RS18560,AZOBR_RS18560,WP_082188256.1,tr|G8ASU1|G8ASU1_AZOBR,\"ABC transporter for nitrate, periplasmic substrate-binding component\",Specific phenotype on Sodium nitrate.  (SEED_correct),nitrate ABC transporter substrate-binding protein,\"Nitrate ABC transporter, nitrate-binding protein\",sulfonate/nitrate/taurine transport system ATP-binding protein,IRLPASPRTALLSAAATLALMLGSAQAAPLDVEKDQLKLGFIKLTDMAPLAIAAEKGFFEDEGLSVTLEPQANWKVLLDRVISGELDGAHMLAGQPLGATIGFGTQANVVTAFSMDLNGNGITLSNEVWERMKPNLPKGPDGKPLHPIKADALKPVIAQYRAEGKPFTMGMVFPVSTHNYELRYWLAAGGINPGYYAPNDVSGQIQADALLSVTPPPQMPATLEAGTIFGYSVGEPWNQQAVMKGIGVPVITDTEIWKNNPEKVFGVTEGWAAKNPKTHLALVKALIRAAMWLDENGNANRAEAVKILAKSEYVGADAKVIANSMTGTFEYEKGDKRAVPDFNVFFRYNATYPFYSDAVWYLTQMRRWGQIAEAKPDAWYDETARKVYKPEIYLKAARLLVEEGKAKEADFPWTSDGYKPLDNGFIDGIAYDGRKPNEYLTKLPIGLKGGQAVQGGQLVGG\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS02015,BPHYT_RS02015,BPHYT_RS02015,WP_012431485.1,tr|B2SWP8|B2SWP8_PARPJ,phenylpyruvate ferredoxin oxidoreductase (EC 1.2.7.8),\"Specifically important for: L-Phenylalanine. Annotated as indolepyruvate ferredoxin oxidoreductase, which has the same EC number; alternatively, could be a decarboxylase, but did not identify a separate aldehyde dehydrogenase\",MFS transporter,\"Indolepyruvate ferredoxin oxidoreductase, alpha and beta subunits\",indolepyruvate ferredoxin oxidoreductase,MTARLPIDGTPALADYKLSDNLTATRGRIFLTGTQALVRLVLMQRAADKARGMNTAGFISGYRGSPLGMVDQQLWKAKKLLAASDIRFLPAINEELGGTAVLGTQRVESDPERTVEGVFAMWYGKGPGVDRAGDALKHGNAYGSSPHGGVLVVAGDDHGCVSSSMPHQSDFAMMAWHMPVVNPSNIADMLEFGLYGWELSRFSGAWVGYKAISETVESGSTVDLDALRTDWTMPQDFEVPAGGLHNRWPDLPSLTIESRMHAKLDAVRHFARVNSIDKWIAPSPHANVGIVTCGKAHLDLMETLRRLDLTVADLEAAGVRIYKVGLSFPLEMTRIDAFVSGLSEVLVIEEKGPVIEQQIKDYLYNRTQGTRPIVVGKNAEDGTLLLSSLGELRPSRILPVFANWLAKHKPALDRRERVVDLVAPQILSNAADSVKRTPYFCSGCPHNTSTKVPEGSIAHAGIGCHFMASWMERDTTGLIQMGGEGVDWASHSMFTKTRHVFQNLGDGTYFHSGILAIRQAVAAKATITYKILYNDAVAMTGGQPVDGSISVPQIARQVEAEGVSRFVVVSDEPEKYDGHHDQFPKGTTFHHRSEMDTVQRQLRDTDGVTVLIYDQTCAAEKRRRRKKGEFPDPDKRLFINEEVCEGCGDCGVQSNCLSVEPVETALGRKRRIDQSSCNKDYSCVNGFCPSFVTVEGGKLKKAAGAAFDPQALAARVEALPIPATHLDAAPYDILVTGVGGTGVVTVGALISMAAHLEGKSASVLDFMGFAQKGGSVLSFVRFAARDEWLNQVRIDTQQADVLLACDMVVGASADALQTVRHGRTRIVVNTHAIPNATFVTNPDATLHADALLDKMRHAAGAERMSTCDAQALATRFLGDTIGANILMLGYAWQLGLVPVSFGAMMRAIELNNVAVQMNQLAFSIGRLAAEDPAALEALWQARHLAKQSVRVDTLDELIAHREGRLQTYGGASYVKRYRALVDAARRAETSVDAKSERVTRAVATTFYRLLAVKDEYEVARLHTDAVFREALEAQFEGVAGKDFGIKFNLAPPTLTRPEPGKNPVKKTFGQWMWPVLGTLAKFSSLRGTMLDPFGRTLERKMERELAGDYETTLQRALARLDAGNLEDVAKLADLHARVRGYGHVKLANLAGVKRGERDLAARLQIEAATGESVRKSLEEMKGAGQLRGIPVVVAK\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS02050,BPHYT_RS02050,BPHYT_RS02050,WP_012431492.1,tr|B2SWQ5|B2SWQ5_PARPJ,D-mannose isomerase (EC 5.3.1.7),\"Specifically important for: D-Mannose; D-Sorbitol; D-Mannitol; D-Fructose. Often annotated as N-acylglucosamine 2-epimerase, but phenotype on mannose, mannitol is consistent with annotation as mannose isomerase. Its role on sorbitol (which is probably oxidized to sorbose or fructose by BPHYT_RS16120) or fructose is unclear - this might be a polar effect on fructokinase (BPHYT_RS02045), as there is a stronger phenotype for insertions with the antibiotic resistance marker in the non-coding orientation (SEED_correct)\",N-acylglucosamine 2-epimerase,D-mannose isomerase (EC 5.3.1.7),,MTQSDPLHPANGAAAAPPVESFRSRDFLLSHVQDTLRFYAPNVFDPSGGFFHFFRDDGSVYDKTTRHLVSSCRYVFNYAMAYRQFGDPQHLEYARHGLRFLREAHWDAQHEGYDWEIEWRDGKKRTLDATRHCYGLAFVLLAYSHAAMAGIEEAKPMIGATFELMEHRFWDAAAGLYADEASPDWRVSSYRGQNANMHTTEALLAAHEATRHLVYLDRAERVASNITLRQAKLSQGLVWEHFHADWSVDWHYNEEDSSNIFRPWGFQPGHQTEWAKLLLILERFRPLPWLLPRAIELFDAAMAHAWDEDHGGLYYGFGPDGTVCDHDKYFWVQAETFATAALLGKRTGNERFWDWYDEIWRYSWAHFVDHEYGAWYRILTCDNRKYSDEKSPAGKTDYHTMGACYEVLAHALPDGAAAAPESAEQTK\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS02740,BPHYT_RS02740,BPHYT_RS02740,WP_085966699.1,tr|B2SXE3|B2SXE3_PARPJ,\"N-acetylglucosamine-specific PTS system, I, HPr, and IIA components (nagF)\",\"Specifically important on NAG and cofit with the IIBC component nearby (BPHYT_RS02745). 58% identical to nagF or H16_A0311 of R. eutropha, which is important for NAG utilization (PMCid:PMC3127587). 58% similar to PA3760, which is required for NAG utilization in P. aeruginosa (PMCid:PMC2542419)\",PTS glucose transporter subunit IIA,\"Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9) / PTS system, glucose-specific IIA component\",\"PTS system, fructose-specific IIA component ; phosphotransferase system, enzyme I, PtsI ; phosphocarrier protein FPr\",MSHSEGHIVLLAPMTGPVVPLANVPDPVFSGGMFGDGIGVDPLEGRLVAPCDATVTHLARTGHAVTLATAEGAEILLHIGIDTVELNGKGFAPMVAQGAHVRAGDVLIEFDQDQVALNAPSLVSVIAIANSDAFEIVERVQGGLLKAGETPLLVLRARDGAAAEASRQLSSTNVTEEARQQVTLVHAGGLHARPAARAREAARGFDARVEVRYEGRKAAIESVVGLLGLGAGEGATVELLGMGPQAAAAVAAIANELTREAHGEVEEKPARQSSPAPQAVARPAGETLAPNTLAGVCAAPGVAVGKLVRWDDADIDPPEKANGTSAAESRLLDKAIATVDADLDTTVRDASQRGAVGEAGIFSVHRVLLEDPTLLDAARDLISLGKSAGFAWREAIRAQIAILTNIEDALLAERAADLRDIEKRVLRALGYTSATARTLPEEAVLAAEEFTPSDLSTLDRSRVTALVMARGGATSHAAILARQAGIPALVAVGDALHAIPEGTQVVVNATTGRLEFAPTELDVERARLERTRLADVREANRRTSQQAAVTSDGRAIEVAANIATLDDAKTAVENGADSVGLLRTELLFIHRAAAPTTDEHRQSYQAIVDALSGRTAIIRTLDVGADKEVDYLTLPPEPNPALGLRGIRLAQVRPDLLDDQLRGLLAVQPLGAVRILLPMVTDVGELIRIRKRIDEFARELGRTEPIEVGVMIEVPSAALLADQLAQHADFLSIGTNDLTQYTLAMDRCQADLAAQADGLHPAVLRLIAATVQGADKHGKWVGVCGALAGDPLAMPLLVGLGVTELSVDPVSVPGIKARVRNLDYQLCRQRAQDALALESAQAVRAASRETWPLD\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS02745,BPHYT_RS02745,BPHYT_RS02745,WP_012431627.1,tr|B2SXE4|B2SXE4_PARPJ,\"N-acetylglucosamine-specific PTS system, IIBC components (nagE)\",\"Specifically important on NAG and cofit with the I-HPr-IIA component nearby (BPHYT_RS02740). CDD or PFam do not show any sign of this gene containing a IIA component, so the SEED annotation is misleading. 62% similar to H16_A0312 (nagE) and 58% similar to PA3761, which are both involved in NAG utilization (PMCid:PMC3127587, PMCid:PMC2542419). KEGG_correct.\",PTS system N-acetylglucosamine-specific transporter subunit IIBC,\"PTS system, N-acetylglucosamine-specific IIA component / PTS system, N-acetylglucosamine-specific IIB component (EC 2.7.1.69) / PTS system, N-acetylglucosamine-specific IIC component\",\"PTS system, N-acetylglucosamine-specific IIB component ; PTS system, N-acetylglucosamine-specific IIC component\",MDGNPFLKIQRLGRALMLPIAVLPVAGLLLRLGQPDVFNIKMIADAGGAIFDNLPLLFAIGVAVGFAKDNNGVAGLAGAIGYLIEVAVMKDINDKLNMGVLSGIVAGIVAGLLYNRYKDIKLPDYLAFFGGKRFVPIVTGVVCLVLGIAFGYVWQPVQAVIDTAGHWLTTAGALGAFVFGVLNRLLLVTGLHHILNSLTWFVFGTFTPPGGAAVTGDLHRFFAGDPTAGTFMTGFFPVMMFGLPAACLAMFHEAPKERRAVVGGLLFSMALTSFLTGVTEPIEFSFMFLAPVLYVIHALLTGISLAICSALGIHLGFTFSAGAIDYVLNYGLSTRGWWAIPIGLVYMVVYYGLFRFFIRKFNMATPGREPAAADEQVDSFAAGGFVSPVAGTAVPRAQRYIAALGGASNLSVVDACTTRLRLSVVDSNKVSENELKTIGARGVLKRGSTNVQVIIGPEADIIADEIRTVIAQGGGDAVKPAAAAPAQVVAAAPVAASVAQGSGPLDPDPLRWLAVFGGAGNVLSLDAIAATRLRIVVRDPSAVDRQRLATLDTAWISADTFHIVVGDAAQRYAEKLATRTTQSGGATPLPA\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS03220,BPHYT_RS03220,BPHYT_RS03220,WP_012431722.1,tr|B2SX46|B2SX46_PARPJ,Acyl-CoA dehydrogenase (EC 1.3.8.7),\"Specifically important for: Tween 20; Trisodium citrate dihydrate. Tween 20 hydrolyzes to a mix of C12, C14, and C16 fatty acids; this is probably part of beta oxidation. The phenotype on citrate is milder and is not explained, but it is conserved. (SEED_correct)\",acyl-CoA dehydrogenase,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MGQYAAPLRDMQFVLHELLNVEAEIKQMPKHADLDADTINAVLEEAGKFCSEVLFPLNHSGDQEGCTYVGDGVVTTPKGFKEAYAQYVEAGWPALGCDPEYGGQGLPAFVNNALYEMLNSANQAWTMYPGLSHGAYECLHAHGTPELQQRYLPKLVAGVWTGTMCLTEPHCGTDLGILRTKAEPNSDGSYAISGTKIFISSGEHDLAENIVHLVLARLPGAPNGTKGISLFIVPKFVPNEAGEPGERNGVKCGSIEHKMGIHGNATCVINLDNAKGWLVGEPNKGLNAMFVMMNAARLGVGMQSLGLTEIGYQNSLTYAKERLQMRSLTGPKAPEKAADPIIVHPDVRRMLLTQKAYAEAARAFSYWSALHIDKELSHADESVRKEAADLVALLTPILKAFLSDNAFESTNHAMQIYGGHGFIAEWGMEQYVRDARINMIYEGTNAIQALDLLGRKILGDMGAKMKKFGKLVSDFVEAEGVKPEMQEFINPLADIGEKVQKLTMEIGMKAMQNPDEVGAAAVPYLRTVGHLVFSYFWARMARVALDKEASGDPFYKAKLATARFYFAKLLPETAMTIRQARAGSKSLMDVEEALF\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS07675,BPHYT_RS07675,BPHYT_RS07675,WP_012432581.1,tr|B2T306|B2T306_PARPJ,\"ABC transporter for L-Arginine, permease component 2\",Very important for utilization of L-arginine,histidine/lysine/arginine/ornithine ABC transporter permease HisQ,\"Histidine ABC transporter, permease protein HisQ (TC 3.A.1.3.1)\",histidine transport system permease protein,MFLYGFGPVLLAGTIQTIELSVLSLAAAVLLGLAGAAAKLSFNRPLRAIATGYTTLIRSVPDLVLMLLLFYSIQIAVNNLTDALNLPQFDIDPFVAGVLTLGFIYGAYFTETFRGAFLAVPRGQLEAGSAYGMSGARVFTRILFPQMMRFALPGIGNNWQVLVKATALVSIIGLADVVKAAQDAGKSTFNMFFFILVAALIYLAITTASNLVLIWLEKRYSIGVRHAEL\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS07680,BPHYT_RS07680,BPHYT_RS07680,WP_012432582.1,tr|B2T307|B2T307_PARPJ,\"ABC transporter for L-Arginine, permease component 1\",Specific phenotypes on L-Arginine. no phenotype on histidine,histidine/lysine/arginine/ornithine ABC transporter permease HisM,\"Histidine ABC transporter, permease protein HisM (TC 3.A.1.3.1)\",histidine transport system permease protein,MIDILNQFWRAFLYWDGQRMSGLAVTLWLLVASVGIGFCAAIPLAVARVSKKRWLSTPVRLYTYVFRGTPLYVQLLLIYTGMYSLEFVRSHQLLDAFFRSGFHCAILAFALNTCAYTTEIFAGAIRSTSHGEVEAARAYGMSWFTMYRRIVIPSALRRALPLYSNEVILMLHATTVAFTATVPDILKVARDANSATYQSFDAFGLAALIYLVVSFVLVALFRRAERHWLGYLAVRTH\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS07735,BPHYT_RS07735,BPHYT_RS07735,WP_012432593.1,tr|B2T318|B2T318_PARPJ,\"ABC transporter for L-Arginine, periplasmic substrate-binding component\",Specific phenotype on L-Arginine. Not near the permease components,ABC transporter substrate-binding protein,Lysine-arginine-ornithine-binding periplasmic protein precursor (TC 3.A.1.3.1),lysine/arginine/ornithine transport system substrate-binding protein,MKMNWRNIAALALFAAASATAGTAAAADIKEVHFGVEASYAPFESKSPSGELQGFDIDVGNAVCAKLKAKCVWVENSFDGLIPALQARKFNAINSDMTITDQRRQAVDFTDPIYTIPNQMIAKKGSGLLPTPASLKGKHVGVLQGTIQETYAKARWAPAGVDVVPYQTQDQIYADLASGRLDAAFQDAEAASKGFLKKPQGAGFEFAGPAVTDEKLLGAGVGFGVRKGDKALKDALNQALKELKADGTIDRFAAKYFDVKVVLK\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS11290,BPHYT_RS11290,BPHYT_RS11290,WP_012433273.1,tr|B2T518|B2T518_PARPJ,2-ketogluconate 6-phosphate reductase (EC 1.1.1.43),\"Specifically important for: D-Gluconic Acid sodium salt. Gluconate is probably primarily catabolized via gluconate kinase (BPHYT_RS16720) and the Entner-Doudoroff pathway (starting with phosphogluconate dehydratase, BPHYT_RS16735). However it appears that there is a side pathway involving gluconate 2-dehydrogenase (BPHYT_RS14520, which has no phenotype because this side path is not beneficial), 2-ketogluconate kinase (BPHYT_RS11300, no fitness data), and 2-ketogluconate-6-P reductase (this gene). A similar side path is known in P. putida (PMCID:PMC4646247) and this gene is similar to the P. putida 2-ketoglutarate-6-phosphate reductase (PP3376). (SEED_correct)\",bifunctional glyoxylate/hydroxypyruvate reductase B,2-ketogluconate 6-phosphate reductase (EC 1.1.1.43),gluconate 2-dehydrogenase,MKKIVAWKSLPEDVLAYLQQHAQVVQVDATQHDAFVAALKDADGGIGSSVKITPAMLEGATRLKALSTISVGFDQFDVADLTRRGIVLANTPDVLTESTADTVFSLILASARRVVELAEWVKAGHWQHSIGPALFGVDVQGKTLGIVGLGRIGGAVARRAALGFNMKVLYTNRSANPQAEEAYGARRVELAELLATADFVCLQVPLTPETKHLIGAAELKSMKKSAILINASRGATVDEKALIEALQNGTIHGAGLDVFETEPLPSDSPLLKLANVVALPHIGSATHETRHAMARNAAENLVAALDGTLTSNIVNREVLSK\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16050,BPHYT_RS16050,BPHYT_RS16050,WP_012434194.1,tr|B2SY89|B2SY89_PARPJ,xylitol 2-dehydrogenase (EC 1.1.1.9),Specifically important for: Xylitol. (SEED_correct),iditol 2-dehydrogenase,Xylitol dehydrogenase (EC 1.1.1.9),L-iditol 2-dehydrogenase,MTTQSTDHDQQNMTAIVCHAPKDYRVEQVSKPRAGAHELVIRIAACGICASDCKCHSGAKMFWGGPSPWVKAPVIPGHEFFGFVEEIGEGAADHFGVKMGDRVIAEQIVPCGKCRYCKSGQYWMCEVHNIFGFQREVADGGMAEYMRIPPTAIVHKIPDGISLEDAAIIEPLACAIHTVNRGEVQLDDVVVIAGAGPLGLMMTQIAHLKTPKKLVVIDLVEERLALAREYGADVTINPKQDDALAIIHSLTDGYGCDVYIETTGAPIGVNQGMDLIRKLGRFVEFSVFGADTTLDWSVIGDRKELDVRGAHLGPYCYPIAIDLLARGLVTSKGIVTHGFSLEEWDEAIKIANSLDSIKVLLKPRA\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16095,BPHYT_RS16095,BPHYT_RS16095,WP_012434203.1,tr|B2SY98|B2SY98_PARPJ,\"ABC transporter for D-Sorbitol, ATPase component\",Specific phenotype on D-Sorbitol.,sugar ABC transporter ATP-binding protein,\"Various polyols ABC transporter, ATP-binding component\",sorbitol/mannitol transport system ATP-binding protein,MASVTLRNIRKAYDENEVMRDINLDIADGEFVVFVGPSGCGKSTLMRMIAGLEDISGGDLTIDGMRVNDVAPAKRGIAMVFQSYALYPHMTLYDNMAFGLKLAGTKKPEIDAAVRNAAKILHIDHLLDRKPKQLSGGQRQRVAIGRAITRKPKVFLFDEPLSNLDAALRVKMRLEFARLHDELKTTMIYVTHDQVEAMTLADKIVVLSAGNLEQVGSPTMLYHAPANRFVAGFIGSPKMNFMEGVVQSVTHDGVTVRYETGETQRVAVEPAAVKQGDKVTVGIRPEHLHVGMAEDGISARTMAVESLGDAAYLYAESSVAPDGLIARIPPLERHTKGETQKLGATPEHCHLFDSAGKAFQRKIVEVLAA\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16105,BPHYT_RS16105,BPHYT_RS16105,WP_012434205.1,tr|B2SYA0|B2SYA0_PARPJ,\"ABC transporter for D-Sorbitol, permease component 1\",Specific phenotypes on D-Sorbitol. no phenotype on mannitol; fitness data identifies a different mannitol transporter,mannitol ABC transporter permease,\"Various polyols ABC transporter, permease component 2\",sorbitol/mannitol transport system permease protein,MSQVASTPVSNPTAMTVPAKSPFAAIRRGIPGVIAWLVALLLFFPIFWMTITAFKTEQQAYASSLFFIPTLDSFREVFARSNYFSFAWNSILISAGVTILCLILAVPAAYAMAFFPTRRTQKVLLWMLSTKMMPSVGVLVPIYLLWKNSGLLDSVSGLVIVYTLINLPIAVWMSFTYFAEIPRDILEAGRIDGAATWQEIVYLLMPMSLPGLASTALLLVILSWNEAFWSINLSSSNAAPLTVFIASYSSPEGLFWAKLSAASLLAVAPILIVGWLSQKQLVRGLTFGAVK\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16110,BPHYT_RS16110,BPHYT_RS16110,WP_012434206.1,tr|B2SYA1|B2SYA1_PARPJ,\"ABC transporter for D-Sorbitol, permease component 2\",Specific phenotypes on D-Sorbitol. no phenotype on mannitol; fitness data identifies a different mannitol transporter,sugar ABC transporter permease,\"Various polyols ABC transporter, permease component 1\",sorbitol/mannitol transport system permease protein,MRPLRLPIMHAHPQTEKERETRKANSARWLATPSVAVLVLWMAIPLAMTIWFSFSRYNLLNPDLKGFAGFDNYKYLASDPSFGPSIGHTLELIISVLVITVVGGVLMAILFDRKFYGQGIARLLAIAPFFVMPTVSALIWKNMILHPVYGLIAQGMRAMGMQPIDWFAEYPLTAVIMIVAWQWLPFAFLILFTAIQSLDQEQKEAARIDGAGPFSMFFYITLPHLKRAIAVVVMMETIFLLSIFAEIYTTTGGGPGTATTNLSYLIYSLGLQQFDVGLASAGGILAVVLANIVSFFLVRMLAKNLKGEYEK\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16115,BPHYT_RS16115,BPHYT_RS16115,WP_012434207.1,tr|B2SYA2|B2SYA2_PARPJ,\"ABC transporter for D-Sorbitol, periplasmic substrate-binding component\",Specific phenotype on D-Sorbitol.,sugar ABC transporter substrate-binding protein,\"Various polyols ABC transporter, periplasmic substrate-binding protein\",sorbitol/mannitol transport system substrate-binding protein,MKPALKSTLKAVSAGAVACFALSASAATVTIATLNNPDMIELKKLSPEFEKANPDIKLNWVILEENVLRQRATTDITTGSGQFDVMTIGAYETPQWGKRGWLTPLTNLPADYDLNDVVKTARDGLSSGGQLYALPFYVESSMTYYRKDLFEKAGLKMPDQPTYDQIKQFADKLTDKANGIYGICLRGKAGWGENMAYGTTVVNTFGGRWFDEKWNAQLTSPEWKKAMTFYVDLLKKDGPPGASSNGFNENLTLMSSGKCAMWIDATVAAGMLYNKQQSQIADKVGFAAAPVAVTPKGSHWLWAWALAIPKSSKQADAAKKFITWATSKQYIELVAKDEGWASVPPGTRKSTYARAEYKQAAPFGDFVLKAIETADPEHPTLKPVPYTGVQFVGIPEFQSFGTVVGQSISGAIAGQMTIDQALAAGNATADRAVKQAGYQK\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16120,BPHYT_RS16120,BPHYT_RS16120,WP_012434208.1,tr|B2SYA3|B2SYA3_PARPJ,\"sorbitol dehydrogenase, D-fructose forming (EC 1.1.1.14)\",\"Specifically important for: D-Sorbitol. The KEGG EC number implies that sorbose would be the product, but it is not clear how sorbose would be consumed. The only other genes with specific phenotypes on sorbitol are an ABC transporter, the fructokinase BPHYT_RS02045, and an apparent polar effect on mannose isomerase BPHYT_RS02050. Also this protein is 60% similar to DHSO_RHOSH (polS), which is annotated in UniProt as forming sorbose but is believed to form D-fructose, see PMID: 15805591 (SEED_correct)\",sorbitol dehydrogenase,Sorbitol dehydrogenase (EC 1.1.1.14),D-sorbitol dehydrogenase (acceptor),MAARLQDKVAILTGAASGIGEAVARRYLDEGARCVLVDVKPADSFGDSLRATYGDRVLTVSADVTRRDDIQRIVASTLERFGQIDILFNNAALFDMRPILEESWDVFDRLFAVNVKGMFFLMQAVAQKMVEQGCGGKIINMSSQAGRRGEALVSHYCATKAAVLSYTQSAALALAPHKINVNGIAPGVVDTPMWNEVDALFARYENRPLGEKKRLVGEAVPLGRMGVPDDLTGAALFLASADADYITAQTLNVDGGNWMS\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16405,BPHYT_RS16405,BPHYT_RS16405,WP_012434262.1,tr|B2SYF9|B2SYF9_PARPJ,galactonate dehydratase [EC: 4.2.1.6],Specifically important for: D-Galactose. galactonate is an intermediate in galactose oxidation (KEGG_correct),galactonate dehydratase,Gluconate dehydratase (EC 4.2.1.39),galactonate dehydratase,MKITKLETFIVPPRWCFLKIETDEGIVGWGEPVVEGRAHTVAAAVEELSDYLIGKDPLLIEDHWQVMYRSGFYRGGPITMSAIAGVDQALWDIKGKHHGVPIHALLGGQVRDKIKVYSWIGGDRPSDVANNARAVVERGFKAVKMNGSEELQIIDTFDKVQGVINNVAAVREAVGPNIGIGVDFHGRVHKPMAKVLAKELDPYKLLFIEEPVLSENAEALRDIVNQTNTPIALGERLYSRWDFKHILSGGYVDIIQPDASHAGGITECRKIASMAEAYDVALALHCPLGPIALATCLQIDAVSYNAFIQEQSLGIHYNQGNDLLDYIKNPEVFKYEDGFVSIPQGPGLGIEVNEEKVREMAKVGHRWRNPVWRHEDGSVAEW\r\ntransporters,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16725,BPHYT_RS16725,BPHYT_RS16725,WP_012434323.1,tr|B2SYM4|B2SYM4_PARPJ,gluconate:H+ symporter (gntT),\"Specific phenotype on gluconate and 72% identical to the gluconate permease (gntT, ACIAD0544) of A. baylayi ADP1 (PMCid:PMC4254613). KEGG_correct\",permease,Gluconate transporter family protein,\"gluconate:H+ symporter, GntP family\",MEAVHGSTLLVFAVIAIALLILLITRYKVYPFLVLIIVSLLLGLASGMPMATIVKSFETGNGNTLGHIAIVVGLGTMLGKMMAESGGAERIATTLIDFFGEKNIHWAMMIVAIIVGLPVFFEVGFVLLIPIAFNVAKRTNKSLLLVGLPMVAGLSVVHGLLPPHPAAMLAVQAYHADIGRTIAYGLIVGVPTAIVAGPLFALMISRYIKLPKENALAAQFLGHGDETKNGAQTAAQNVAPKRELPSFGITLLTILLPVILMLVGSWADLFTTPKTLPNDLLHFAGNSDVALLIAVLVSFWTFGASRGFTREQIQKFCGDCLAPIAGITLIVGAGGGFGRVLMDSGISKEIVNVATAMHLSPLLFGWLVAALIRLATGSATVAMTTACGIVAPIASASGVHVEPELLVLATGSGSLIFSHVNDGGFWLIKEYFGMTVGQTFKTWSLLETIISLMGLGLTFALAAVV\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS16920,BPHYT_RS16920,BPHYT_RS16920,WP_012434361.1,tr|B2SYR3|B2SYR3_PARPJ,L-arabinose 1-dehydrogenase; D-galactose 1-dehydrogenase (EC 1.1.1.46; EC 1.1.1.48),# Specifically important in carbon source L-Arabinose; carbon source D-Galactose. Some other dehydrogenases are known to act on both of these substrates.,3-oxoacyl-ACP reductase,Putative oxidoreductase in arabinose utilization cluster,,MSSPANANVRLADSAFARYPSLVDRTVLITGGATGIGASFVEHFAAQGARVAFFDIDASAGEALADELGDSKHKPLFLSCDLTDIDALQKAIADVKAALGPIQVLVNNAANDKRHTIGEVTRESFDAGIAVNIRHQFFAAQAVMEDMKAANSGSIINLGSISWMLKNGGYPVYVMSKSAVQGLTRGLARDLGHFNIRVNTLVPGWVMTEKQKRLWLDDAGRRSIKEGQCIDAELEPADLARMALFLAADDSRMITAQDIVVDGGWA\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS17340,BPHYT_RS17340,BPHYT_RS17340,WP_012434437.1,tr|B2SYZ1|B2SYZ1_PARPJ,Phenylacetaldehyde dehydrogenase PaaZ (EC 1.2.1.3),\"Specifically important for: L-Phenylalanine. phenylalanine is transaminated to phenylpyruvate, decarboxylated to phenylacetaldehyde, and this converts it to phenylacetate (SEED_correct)\",aldehyde dehydrogenase,\"Aldehyde dehydrogenase (EC 1.2.1.3), PaaZ\",,MTHPLFTKHEDTLQKALTAVETRGYWSPFVEMPSPKVYGETANADGEAAFKAHLNATFQLDQPSTGETVGAEVSPFGFPLGVRYPKAEPAALIAAAAAAQRDWRAAGPQAWIGVCLEILARVNRASFEIGYSVMHTTGQAFMMAFQAGGPHAQDRALEAVVYAWDQLRRIPGDTHWEKPQGKNPPLAMHKRYTVVPRGTGLVLGCCTFPTWNGYPGLFADLATGNTVIVKPHPGAILPLALTVRIARDVLREAGFDPNVVTLLATEPNDGALVQDLALRPEIKLIDFTGSTQNGTWLERNAHQAQVYTEKAGVNQIVIDSVDDIKAAARNVAFSLALYSGQMCTAPQNIYVPRGGIRTAEGTLSFDEVAQAIAGAVQKLVADPARAVELLGAIQNEGVTQRIDEAAKLGRVLVESLTLEHPAFAGARVRTPLVLQLDAATDHAQFTKEWFGPISFVIATDSTAQSLDLAGAIASEHGALTLSVYSTDEAVLDDAHEASIRGGVALSINLTGGVFVNQSAAFSDFHGTGANPAANAALADAAFVANRFRVVQSRVHVEPKAAPAVAG\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS19730,BPHYT_RS19730,BPHYT_RS19730,WP_012434865.1,tr|B2T7R9|B2T7R9_PARPJ,L-arabonate dehydratase (EC 4.2.1.25),Specifically important for: L-Arabinose. L-arabonate is an intermediate in the oxidation of L-arabinose (SEED_correct),dihydroxy-acid dehydratase,L-arabonate dehydratase (EC 4.2.1.25),dihydroxy-acid dehydratase,MADSNQTKKPLRSQAWFGLKDRDGFLHRSWMKNQGIPHDEFDGRPVIGICNTWSELTPCNAHFRELAEYVKKGVHEAGGLPLEFPVMSLGETNLRPTAMLFRNLASMDVEESIRGNPMDGVILLVGCDKTTPALLMGAASCNLPALAVSGGPMLNGRFRGKNIGSGTGVWQMSEEVRAGTMTQEEFTEAESCMNRSRGHCMTMGTASTMASMVESLGMGLPHNAAIPAVDARRQVLAHLAGRRIVDMVREDLTMDKILTRQAFENAIRTNAAIGGSTNAVVHLIALAKRIGVELSLEDWELGSNVPCLVNLQPSGEYLMEDFYYAGGLPAVLKQLGEQGLLHKEALTVNGKTLWDNVRNAANYDEKVITTFAEPFKPKAGIAVLKGNLAPNGAVIKPSAATASLLKHRGRAVVFENIEELHAKIDDESLDIDEHCIMVLKGAGPKGYPGFAEVGNMPLPKKVLQKGITDMVRISDGRMSGTAYGAVVLHVSPEAAAGGPLAFVQTGDMIELDVEERRLHLDVTDEELARRRAAWQAPEAPKRGYYKLYVEHVLQADQGADLDFLVGSSGAPVPRDSH\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS22715,BPHYT_RS22715,BPHYT_RS22715,WP_012426462.1,tr|B2TD34|B2TD34_PARPJ,L-2-keto-3-deoxyarabonate dehydratase (EC 4.2.1.43),\"important for L-arabinose utilization and 70% similar to araD from A. brasilense (KDADA_AZOBR, PMID:16950779). SEED_correct\",cytochrome C biogenesis protein CcdA,L-2-keto-3-deoxyarabonate dehydratase (EC 4.2.1.43),dihydrodipicolinate synthase,MTQSSHPAAMRGVFPVAPTIFDDAGRLDLEGQKRCIDFMIDAGSNGLCILANFSEQFALSDDERNTLMHVVLEHVAGRVPVIVTTTHFSSYQCAERSRSAQAAGAAMVMVMPPYHGATIRIGERGIYEFYRTVSDAIGIPIMIQDAPVSGTPLSAPFLARMAREIDNVSYFKIEVPQAANKLRELIELGGDAIVGPWDGEEAITLMADLDAGATGSMTGGGYADGIRLIVDAYAAGDTEAAAAHYQQWLPLINYENRQGGLASCKALMKEGGVIRSDAVRHPLPQMHPATREGLLKVARRLDPLVLRWGR\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS23155,BPHYT_RS23155,BPHYT_RS23155,WP_012426549.1,tr|B2TDJ5|B2TDJ5_PARPJ,Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19),\"Important for utilization of putrescine as C or N source. This is the only transamination reaction in putrescine catabolism via gamma-glutamylputrescine (formed by BPHYT_RS23160), gamma-glutamylpurescine oxidase (possibly redundant, BPHYT_RS23125 or BPHYT_RS22700, neither has a phenotype),  gamma-glutamylbutyraldehyde dehydrogenase (BPHYT_RS23175), and gamma-glutamyl-gamma-aminobutyrate hydrolase (probably BPHYT_RS23165, but no fitness data). Another gene (BPHYT_RS22435) likely has this activity as well, and is important (but with a weaker phenotype) on putresine as a carbon source. However that gene is not important with putrescine as a nitrogen source, which suggests that this gene is providing the activity.\",aminotransferase,Omega-amino acid--pyruvate aminotransferase (EC 2.6.1.18),putrescine aminotransferase,MSYRTEEVAYVQPAQPAASAQASQAAQQQRSTAEYRALDAAHHIHPFSDMGSLNRSGSRVIVKAQGVYLWDSEGNKVIDGMAGLWCVNVGYGRKELADAAYKQMQELPYYNTFFKTTHPPVIELSALLAELAPEAFNHFFYCNSGSEGNDTVLRIVHQYWATQGKHSKKFVISRKNGYHGSTIAGGTLGGMGYMHEQMPSKVENIVHIDQPYFFGEAQGNLTPEEFALARAQQLEAKILEIGADNVAAFIGEPFQGAGGVIFPASTYWPEIQRICRKYDILLVADEVIGGFGRTGEWFAHQHFGFEPDLITLAKGLTSGYVPMGAVGLHDRVAKAIIENGDFNHGLTYSGHPVAAAVAVANLKLLRDEKIVDRVKNDTGPYFQKQLRETFANHPIIGEISGTGLVAGLQLAQDPKARKRFANGGDVGTICRDFCFNGNLIMRATGDRMLLSPPLVINKLEIDEIVSKAKKAIDATAQQLGIS\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS23160,BPHYT_RS23160,BPHYT_RS23160,WP_012426550.1,tr|B2TDJ6|B2TDJ6_PARPJ,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),Specifically important for: Putrescine Dihydrochloride. The first step in putrescine catabolism via gamma-glutamyl-putrescine (SEED_correct),glutamine synthetase,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),glutamine synthetase,MHDIDDFLKKNRVTEIEAIIPDMAGIARGKIIPRSKFESGESMRLPQAVMIQTVTGDYPEDGTLTGVTDPDMVCVPDASTIRMIPWAVDPTAQVIHDCVHFDGTPVAISPRRVLRRVLELYKAKGWKPVIAPELEFYLVDMNKDPDLPLQPPIGRTGRPETGRQAYSIEAVNEFDPLFEDIYEYCEVQELEVDTLIHEVGAAQMEINFMHGDPLKLADSVFLFKRTVREAALRHKMYATFMAKPMEGEPGSAMHMHQSLVDEETGHNLFTGPDGKPTSLFTSYIAGLQKYTPALMPIFAPYINSYRRLSRFMAAPINVAWGYDNRTVGFRIPHSGPAARRIENRIPGVDCNPYLAIAATLAAGYLGMTQKLEATEPLLSDGYELPYQLPRNLEEGLTLMGACEPIAEVLGEKFVKAYLALKETEYEAFFRVISSWERRHLLLHV\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS34210,BPHYT_RS34210,BPHYT_RS34210,WP_012428702.1,tr|B2T9V2|B2T9V2_PARPJ,\"2,4-diketo-3-deoxy-L-rhamnonate hydrolase (EC 3.7.1.-)\",\"Specifically important for: L-Fucose; L-Rhamnose monohydrate. The substrate is also known as 2,4-diketo-3-deoxy-L-fuconate, and is an intermediate in both L-rhamnose and L-fucose degradation (SEED_correct)\",ureidoglycolate lyase,\"2,4-diketo-3-deoxy-L-fuconate hydrolase\",,MKLLRYGPKGQEKPGLLDAQGKIRDLSKVVADIDGAALTDEGLAKLRALDPASLPLVEGNPRMGPCVGKIGKFICIGLNYADHAAESNLPVPAEPVIFNKWTSAISGPNDDVEIPRGSKKTDWEVELGVVIGKPAKYIDEANALDYVAGYCVINDVSEREWQIEKGGTWDKGKGFDTFGPIGPWVVTRDEVADPQNLSLWLEVDGHRYQNGSTKTMVFGVAKLVSYVSQCMSLQPGDVISTGTPPGVGMGVKPNPVFLKPGQTIRLGIEGLGEQTQKTYAAE\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS34225,BPHYT_RS34225,BPHYT_RS34225,WP_012428705.1,tr|B2T9V5|B2T9V5_PARPJ,L-fucose dehydrogenase; L-rhamnose 1-dehydrogenase (EC 1.1.1.122; EC 1.1.1.173),Specifically important for: L-Rhamnose monohydrate; L-Fucose. Annotated by SEED for the fucose dehydrogenase activity only,aldo/keto reductase,L-fuco-beta-pyranose dehydrogenase (EC 1.1.1.122),,MTATIGSKIGQRRRIGRGPLQVTGLGLGTAPLGGLYRDLSDEEAHATIAAAWDAGVRYFDTAPHYGNTKAEHRLGDALRRYPRADYVLSTKVGRRFVPRTTPFDDKEGWQNPLPFEAIYDYTHDGILRSFEDSQQRLGIVDIDILLVHDIGRVTHGDNHPHYWRQLTEGGGFRALDALRSSGAIKAVGLGVNEGAAILDAMAEFDIDCALLAGRYTLLEQTTLDDLLPACEKRGVSILLGGAFNSGILARGVQGDLKFNYGEAPPEVIERVARLEAVCRTHGVPLAAAALQFPYAHPTVATVLTGARSADELRENAASFELPIPAALWFALREEGLLDSRAPAPED\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS34230,BPHYT_RS34230,BPHYT_RS34230,WP_012428706.1,tr|B2T9V6|B2T9V6_PARPJ,L-fuconate dehydratase; L-rhamnonate dehydratase (EC 4.2.1.68; EC 4.2.1.90),Specifically important for: L-Rhamnose monohydrate; L-Fucose. annotated by SEED for fuconate activity only,hydrolase,\"L-fuconate dehydratase (EC 4.2.1.68), type 2\",altronate hydrolase,MPVAAQQPTLEGYLRGDGRKGIRNVVAVAYLVECAHHVAREIVTQFREPLDAFDDPSAEREPPVHLIGFPGCYPNGYAEKMLERLTTHPNVGAVLFVSLGCESMNKHYLVDVVRASGRPVEVLTIQEKGGTRSTIQYGVDWIRGAREQLAAQQKVPMALSELVIGTICGGSDGTSGITANPAVGRAFDHLIDAGATCIFEETGELVGCEFHMKTRAARPALGDEIVACVAKAARYYSILGHGSFAVGNADGGLTTQEEKSLGAYAKSGASPIVGIIKPGDIPPTGGLYLLDVVPDGEPRFGFPNISDNAEIGELIACGAHVILFTTGRGSVVGSAISPVIKVCANPATYRNLSGDMDVDAGRILEGRGTLDEVGREVFEQTVAVSRGAASKSETLGHQEFILTYKTFEPVGPACLPSSAAAQHRVVAIEPH\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS34235,BPHYT_RS34235,BPHYT_RS34235,WP_085966746.1,tr|B2T9V7|B2T9V7_PARPJ,putative accessory domain for L-fuconate/L-rhamnonate dehydratase (EC 4.2.1.68; EC 4.2.1.90),\"Important for L-fucose and perhaps L-rhamnose catabolism, but seems to have milder phenotypes than the adjacent dehydratase _RS34230. CDD suggests (see cd11613) that it might be a dimerization domain for the dehydratase, but that wouldn't make sense for a separate ORF. Some homologs of this gene are fused to the dehydratase (which has a GD_AH_C domain).\",hydrolase,Altronate dehydratase (EC 4.2.1.7),altronate hydrolase,MTSRLLPLQTDPRLILLSPADNCLIAAARLDCGTQVEIEGERVTLTRTIDLGHKVARHELAKDDKVLRYGAVIGHVTEAVARGAHLHTHNLESDYLPTYTHDAGHEFVHH\r\ncatabolism,Burkholderia phytofirmans PsJN,BFirm,BPHYT_RS35445,BPHYT_RS35445,BPHYT_RS35445,WP_012428943.1,tr|B2TAE5|B2TAE5_PARPJ,2-aminobenzoate-CoA ligase [EC: 6.2.1.32],Specifically important for: L-Tryptophan. B. phytofirmans catabolizes tryptophan via 2-aminobenzoyl-CoA (KEGG_correct),2-aminobenzoate-CoA ligase,Acyl-coenzyme A synthetases/AMP-(fatty) acid ligases,2-aminobenzoate-CoA ligase,MEPSAHVDTFARDNLPPQDQWPVFLLDNPDVAYPARLNCASELLDRTIDAGHRDDPAIWSDVDGAPRATTYGELLALVNRSAHVLVDEMGLQPGNRVLLRGPNTLHMAVTALAALKVGLVVVPTMPLLRAKELKQIIDKAQVGAALCDARLTAELARCSDPEDEFYCAGLMQTRLFHDDSPDSLDTLAVNKPDHFTACDTAADDVCLIAFTSGTTGAPKGCMHFHRDVVAMCDLFPRHVLKPTSSDIFCGTPPLAFTFGLGGLLCFPLRVGASTVLIEKLTPETLLQTVERFHATVMFTAPTFYRQMAPLVAHHDVSSLKKTVSAGEALPDSTRRLWRDATGIDMIDGIGGTELIHIFISAQGDEIRPNAIGRAVPGYAVQAVDDDMQPVAPGTIGKLAVRGPTGCRYLADERQMKFVRDGWNLPGDSVYLDEDGYVFYQARADDMIVSAGYNISGPEVESVLLQHDAVSECGVIGVPDETRGQIVKAFVVVNPGYERDDKLVAQLQEFVKNSVAPYKYPRDIVFVDSLPRTETGKLKRFELRTMA\r\ntransporters,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS03025,RR42_RS03025,RR42_RS03025,WP_052494419.1,tr|A0A0C4YBR9|A0A0C4YBR9_9BURK,\"Inner membrane protein (FUSC-like) required for 4-hydroxybenzoate transport, together with NodT, MFP, and DUF1656 proteins (RR42_RS03040, RR42_RS03035, and RR42_RS03030)\",specific phenotype on 4-hydroxybenzoate and cofit with other nearby components. Not clear if this is primarily an efflux pump (because of the high and potentially toxic concentration of hydroxybenzoate) or for uptake,transporter,Inner membrane component of tripartite multidrug resistance system,,MVSWPTGRDWIFSLKAFAAAMLALFIALYLGLPRPYWAMASVYIVAHPLTGATRSKALYRVLGTLLGAAASVAIVPPLVNAPVLLMAAVALWTGILLYVALLHRTPRSYVFMLAAYTLPMVALPSVSDPSGVFDIAVARAEEICLGIVCASIVGSTIFPAKVATVLGQKSAQWLADAALWATDMLSAHPAAKVSRHHSRHRLAADILALDQLISHLSYDAESAARVKHAQELRGRMTMLLPVLSSLASVVDALHQHAAGIPQRLSHNMALVSAWISAGAQAPLPALQLSQDAPIDDAGLEPGSAGPDWHAALAATAEGRLRELMELWQDCVSLQRRIGEAAPQGDWAPVFRRWGVGAARHYDHGMLLFSTATTALAIFSMGMVWIWTGWADGAGAVALGAVSCCFFAAMDEPAPMIRSFFRWNVVCLVLATIYLFVVLPNAHDFEMLVLMFAVPYLIIGVMMAQPRLALIAMPLAVVTANDIGIQGAYNADFNAFFNGNVAGIAGILFALVWTLVARPFGTRAAVRRLVRASWGDIARNATGREPGEHAHLRARMLDRLAQLVPRLAASEDETTGDGFTEVRVELSTLALQRELSALAPEHQHSVRRVLQGVASYYQARLDARAEAPPQVLRDRLAKAIRKVASRADQASREAFAALVEMHVALF\r\ntransporters,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS03040,RR42_RS03040,RR42_RS03040,WP_043343879.1,tr|A0A0C4Y7B9|A0A0C4Y7B9_9BURK,\"Outer membrane protein (NodT-like) required for 4-hydroxybenzoate transport, together with FUSC, MFP, and DUF1656 proteins (RR42_RS03025, RR42_RS03035, and RR42_RS03030)\",specific phenotype on 4-hydroxybenzoate and cofit with other nearby components. Not clear if this is primarily an efflux pump (because of the high and potentially toxic concentration of hydroxybenzoate) or for uptake,RND transporter,Outer membrane component of tripartite multidrug resistance system,,MNTLRKALLPALVPLLFAACTTVGPDYHVPDNAAVKAQAANGPLLGTNNPAVSIAEVPDGWWRLYDDPKLDQLVQQALVANTDLRVAAANLKRAIAVYHEVEAENLPEARLSAGAERGQIAGEPLLKEEKIPVMNFGDVGFKVSYLIDFFGKLARADEAALAGAQASQAALDQARIGVVAETVRAYVQGCAATHELTVAEHQLALQSRGVELARKMVDAGRGQPLDLLRAQAQADVLRAALPRFKAEQEGAAYRLAVMLGKPPSATSQAEYACHEEPRLRQALPVGDGAALLKRRPDVRQAERELASATAKIGVATADLYPSIRIGASAGFTGILDHLGQAPTAHWGYGPLITWNIPTSGTRARVHGTEAGAEAALAHFDGVVLKALRETQSALSSYTRELERTQALRDARDKANEVARQNRQLYQAGRSPYLSSLDADRTLASTEASLAASESQVALDQINLFLALGGGWQNAPKVESRTMSEQAH\r\ncatabolism,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS13535,RR42_RS13535,RR42_RS13535,WP_043352074.1,tr|A0A0C4Y492|A0A0C4Y492_9BURK,2-aminobenzoate-CoA ligase (EC 6.2.1.32),Specifically important for: L-Tryptophan. This bacterium catabolizes tryptophan via 2-aminobenzoyl-CoA; (KEGG_correct); SEED has a very broad annotation (Acyl-coenzyme A synthetases/AMP-(fatty) acid ligases),2-aminobenzoate-CoA ligase,Acyl-coenzyme A synthetases/AMP-(fatty) acid ligases,2-aminobenzoate-CoA ligase,MASTAHLDTYALDRLPPPQQWPAFLFNADTRYPERMNCALELVERHVREGRGERVAIRYEQDGAHRTVSYAELAALSNRIAHVLTGDMKLVPGSRVLLRGPNNLMMAACWLAVVKAGLIAVPTMPLLRAKELKQVIDRAAVSAALCDERLREELEANLKPGGEHHCPSLTQALYFNSSGAGSVEAAMANKPDGFEACDTAADDICLIAFTSGTTGQPKGTVHFHRDVIAMCDLFPRHVLKPGPDDIFCGTPPLAFTFGLGGILCFPLRVGASTVLAERLTPESLLALIQSWRATIVFTAPTFYRQMAALAPGYDLSSLQKSVSAGEALPDATRQSWKAATGIEMTDGIGGTEMMHIFISSAGADVRPGAIGKVVPGYIAQIVDEQMQPVPHGTVGKLAVRGPTGCRYLDDPRQANYVKDGWNLPGDTFKADADGYYYYQARSDDMIVSAGYNIAGPEVESALMRHEAVAECGVVGMPDPERGQIVAAYVVLRPGVAASDETCAALQSYVKAEIAPYKYPRKVIFVDALPRTETGKLQRFRLRQMAEQSGAPEGARQP\r\ncatabolism,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS13555,RR42_RS13555,RR42_RS13555,WP_043347637.1,tr|A0A0C4YHI0|A0A0C4YHI0_9BURK,anthraniloyl-CoA monooxygenase (EC 1.14.13.40),\"Specifically important for: L-Tryptophan. Antrhanioyl-CoA is a synonym for 2-aminobenzoyl-CoA, an intermediate in the degradation of Trp via 2-aminobenzoate (KEGG_correct)\",salicylyl-CoA 5-hydroxylase,probable bifunctional hydroxylase/oxidoreductase,anthraniloyl-CoA monooxygenase,MRVLCIGGGPSGLYFGLLMKLRDPSSEVYVVERNRPYDTFGWGVVFSDATMDNLKQADPVSAEQINAAFNHWDDIDIHIGGRTLRSGGHGFIGIGRKRLLNILQARCEALGVHLVFETDVTDDQALAQQYQADIVIASDGINSRVRGRYAETFQPDIDTRLCRFVWLGTRKLFDAFTFAFEKTEHGWFQAHAYRFDDNTSTFIVEAPEPVWRAAGIEQMSQEEGVAFCERLFARYLDGNALISNATHLRGSANWIRFPRVICGTWVHWNTLAGGRRVPVVLMGDAAHTAHFSIGSGTKLALEDAIDLANNIRDAGPGGADVLPQALERYQATRSVEVLKIQNAARNSTEWFENVERYAGLAPEQFAYSLLTRSQRISHENLRVRDPGYVEGFERWLAGQAAANVANATSTGQAAEARVVPPMFTPLRVRNVTLKNRVVVSPMAMYSCEDGVPGDFHLTHLGARALGGAGMVVAEMTCTSPDARITPGCPGLWNDEQRDAWRRIVDFVHANSDARIAMQIGHAGRKGSTQLGWEQMDYPLAEGNWPVLSASPLPYMPGISQVPREMSRADMDAVRDDFVASARRAAQAGFDWLELHCAHGYLLSSFISPLTNQRSDEYGGSLQARLRYPLEVFAAVRAVWPQERPMSVRISAHDWVEGGITPDDAIEIARAFKAAGADMIDCSSGQVSPDQAPVYGRMYQTPFADRIRNEAGIATIAVGAIFEADHVDSIIAAGRADLCAIARPHLADPAWTIHEAARLGHRDLAWPKQYQAGKRQLETNLERAAQQARQARQPEDH\r\ncatabolism,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS17300,RR42_RS17300,RR42_RS17300,WP_043349422.1,tr|A0A0C4Y642|A0A0C4Y642_9BURK,\"D-lactate oxidase, FAD-linked subunit (EC 1.1.3.15)\",Specifically important for: Sodium D-Lactate. KEGG has the correct EC # but describes it as glycolate oxidase; SEED has it as 1.1.99.14 (glycolate dehydrogenase),glycolate oxidase,\"Glycolate dehydrogenase (EC 1.1.99.14), subunit GlcD\",glycolate oxidase,MNAPHEVSLVADDARRSALLAGLAKILPDAALLWKPEDTVPYECDGLAAYRQVPMAVALPDNEDQVCAILRLCHSLQVPVVPRGAGTSLSGGAMPIATGLVLSLAKFKRIVSVDVRSRTAVVQPGVRNLAISEAAAQYNLYYAPDPSSQIACTIGGNVSENSGGVHCLKYGLTVHNVLRVRAVTMEGDVVEFGSEAPDAPGLDLLAAVIGSEGMLAVVTEVSVKLIPKPQLAQVIMASFDDVAKGGNAVADVIGAGIIPAGLEMMDKPATAAVEEFVRAGYDLDAAAILLCESDGTPEEVAEEVERMSEVLRASGASRIQVSQSEPERLRFWSGRKNAFPAAGRISPDYYCMDGTIPRKHIGTLLKRIEEMERKYGLRCMNVFHAGDGNMHPLILFDGADQDEWHRAELFGSDILESCVELGGTVTGEHGVGVEKLNSMCVQFSAQERDLFFGVKAAFDPARLLNPDKAIPTLARCAEYGRMHVKRGLLPHPDLPRF\r\ncatabolism,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS17310,RR42_RS17310,RR42_RS17310,WP_043349427.1,tr|A0A0C4YFX9|A0A0C4YFX9_9BURK,\"D-lactate oxidase, FAD binding subunit (EC 1.1.3.15)\",Important on D-lactate; KEGG oddly has no EC #; SEED has it as 1.1.99.14 (glycolate dehydrogenase),glycolate oxidase,\"Glycolate dehydrogenase (EC 1.1.99.14), FAD-binding subunit GlcE\",glycolate oxidase FAD binding subunit,MPATPADQQATLTAFRDAIRHATGTRTPLRLRGGGSKDFYGQHPQGTLLDTRAYSGIVDYDPPELVITARCGTPLAQIEAALAERRQMLAFEPPHFSTGADGSDVATIGGAVAAGLSGPRRQAVGALRDFVLGTRVMDGRGDVLSFGGQVMKNVAGYDVSRLMSGSLGTLGLILEVSLKVLPVPFDDATLRFALDEAAALDRLNDWGGQPLPIAASAWHDGVLHLRLSGAAAALRAARARLGGEAVDAAQADALWRALREHSHAFFAPVQAGRALWRIAVPTTAAPLALPGGQLIEWGGGQRWWLGGSDSAADSAIVRAAAKAAGGHATLFRNGDKAVGVFTPLSAPVAAIHQRLKATFDPAGIFNPQRMYAGL\r\ncatabolism,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS17315,RR42_RS17315,RR42_RS17315,WP_043349430.1,tr|A0A0C4YDN4|A0A0C4YDN4_9BURK,\"D-lactate oxidase, iron-sulfur subunit (EC 1.1.3.15)\",Important on D-lactate; KEGG oddly has no EC #; SEED has it as 1.1.99.14 (glycolate dehydrogenase),glycolate oxidase,\"Glycolate dehydrogenase (EC 1.1.99.14), iron-sulfur subunit GlcF\",glycolate oxidase iron-sulfur subunit,MQTTLAEFLRDTPDGEEAKSIVGKCVHCGFCTATCPTYQLLGDELDGPRGRIYLMKQVLEGQPVTQSTRLHLDRCLTCRNCESTCPSGVKYGRLVDIGRKVVDDRLEAQGIQRPARERFARWALRETMTRPALFGTAMRMGQRVRPLLPQALRNKVPQAVDAGAWPRTTHARKMLLLDGCVQPSMSPNINAATARVFDRLGVQLVMAREAGCCGAVRYHTGDHDGGLDNMRRNIDAWWPAVQAGAEAIVMTASGCGVMVKEYGHLLRNDAHYADRARQISALTKDLSELLPNFADALQDAAAEAGSSKGTNGTDGQRVAYHPPCTLQHGQQIRGKVEALLTGLGVDVKLCADSHLCCGSAGTYSVLQPALSYRLRDEKLANLQALKPEAIVSANIGCITHLQSGTGTPVMHWIELVDRMLG\r\ncatabolism,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS25930,RR42_RS25930,RR42_RS25930,WP_043354222.1,tr|A0A0C4YL05|A0A0C4YL05_9BURK,glycine dehydrogenase (deaminating) (EC 1.4.1.10),\"Specifically important for: L-Threonine. Annotated as D-amino acid dehydrogenase; SEED has it as the small subunit but do not see why another subunit is expected (i.e. E. coli dadA). Important on Thr as well as Gly because Thr is cleaved (via the threonine dehydrogenase and kbl) to glycine. The electron acceptor is uncertain -- the given EC number implies that NAD is the electron acceptor, which is consistent with an N-terminal NAD binding domain (PF13450).\",amino acid dehydrogenase,D-amino acid dehydrogenase small subunit (EC 1.4.99.1),D-amino-acid dehydrogenase,MKTIAVIGGGITGVTTAYALAKRGFSVTLLEKHRYAAMETSFANGGQLSASNAEVWTHWSTILKGIKWMLKSDAPLLVNPRPSWHKLSWFAEFIAAIPHYRKNTIETTRLAIAARDHLFSWAAAEGIDFDLKKEGILHIYRDKAGFEHAGRVSKLLAEGGLARHAVTPEEMRAIEPTLAGQYYGGYFTQSDSTGDIHKFTSGMAAAIDRLGVRCLYNQDVQSVSTDGRQVTIVSGDGRQAESRVFDGVVVCAGTASRALAASLGDRVNIYPVKGYSITVNLNDAQSQAAAPVVSLLDDETKLVTSRLGVDRFRVAGTAEFNGYNRDIRADRIRPLVEWVNQCFPGVSTRSVVPWAGLRPMMPTMLPRVGRGRASCVFYNTGHGHLGWTLSAVTADMIGDVVQQAMGARRAHGVQEPVALVTP\r\ncatabolism,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS28300,RR42_RS28300,RR42_RS28300,WP_043354857.1,tr|A0A0C4YKU6|A0A0C4YKU6_9BURK,L-threonine 3-dehydrogenase (EC 1.1.1.103),Specifically important for: L-Threonine. The first step in Thr catabolism (SEED_correct),NAD-dependent epimerase,L-threonine 3-dehydrogenase (EC 1.1.1.103),,MTKPARVLIIGANGQLGTELASALADRYGKQNVVTSDMVPHGRHLHLTHEMLDVTDRAHLRDVIERHGITQIYHLAAALSATGEKSPTWAWQLNMNGLLNVLEAARHQKLDKVFWPSSIAAFGPTTPPDGTPQSTIMEPKTVYGISKLAGEGWCRWYFENHGVDVRSLRYPGLISYKTPPGGGTTDYAIDIFHSALRAQPYACFLEKDEALPMMYMPDAVRATMELMEAPRASISERGSYNLAGLSFTPGEIANEIRRHCPGFDVRYEPDFRQEIAAGWPDSIDDSVARRDWNWRPEFGLKEMVADMLKNLATLNQGSALECVS\r\ntransporters,Cupriavidus basilensis 4G11,Cup4G11,RR42_RS28835,RR42_RS28835,RR42_RS28835,WP_043355010.1,tr|A0A0C4YJP4|A0A0C4YJP4_9BURK,gluconate:H+ symporter (gntT),\"67% identical to the gluconate permease (gntT, ACIAD0544) of A. baylayi ADP1 (PMCid:PMC4254613). KEGG_correct\",permease DsdX,Gluconate transporter family protein,\"gluconate:H+ symporter, GntP family\",MGAVTGTTLLLYALIAVIALVVLIAKFKLNPFITLVVVSVLLGFAVGMPMGDIVKSFEAGVGGTLGHIALVVGLGTMLGKMMAESGGAERIARTLIDAFGEKNVHWAMVTIAFIVGLPVFFEVGFVLLVPIAFNVAKRTGTSMVLVGIPMVAGLSVVHGLIPPHPAALLAVTAYKADIGKTILYALIVGIPTAAIAGPLFAKLMTRYVTLPDVNPLAAQFTEEDEGVKASHELPGFGITLFTILLPVILMLIGSWADLITTPKTFANDFLKLIGNSVIALLIAALVSFYTFGKRRGFTRENILRFTNECVAPTAIITLVVGAGGGFGRVLRDSGISNAIVDVATGAHVSVLLLGWLVAVLIRIATGSATVAMTTAAGIVAPIAASVPGTRPELLVLTTGAGSLILSHVNDGGFWLVKEYFNMTVAQTFKTWSVCETLISVIALLLTLALATVV\r\ntransporters,Dinoroseobacter shibae DFL-12,Dino,3607124,Dshi_0546,DSHI_RS02765,WP_012177224.1,tr|A8LPG9|A8LPG9_DINSH,\"ABC transporter for Xylitol, ATPase component\",Specific phenotype on Xylitol.,ABC transporter related (RefSeq),\"Various polyols ABC transporter, ATP-binding component\",multiple sugar transport system ATP-binding protein,MAGIKIDKINKFYGTTQALFDINLDIEDGEFVVFVGPSGCGKSTLLRTLAGLEGVSSGRIEIGGRDVTTVEPADRDLAMVFQSYALYPHMTVRENMEFGMKVNGFEPDLRKERIAEAARVLQLEDYLDRKPGQLSGGQRQRVAIGRAIVKNPSVFLFDEPLSNLDAKLRVQMRVELEGLHKQLGATMIYVTHDQVEAMTMADKIVVLNRGRIEQVGSPMDLYHKPNSRFVAEFIGSPAMNVFSSDVGLQDISLDASAAFVGCRPEHIEIVPDGDGHIAATVHVKERLGGESLLYLGLKGGGQIVARVGGDDETKVGAAVSLRFSRHRLHQFDEAGRAI\r\ntransporters,Dinoroseobacter shibae DFL-12,Dino,3607125,Dshi_0547,DSHI_RS02770,WP_012177225.1,tr|A8LPH0|A8LPH0_DINSH,\"ABC transporter for Xylitol, periplasmic substrate-binding component\",Specific phenotype on Xylitol.,extracellular solute-binding protein family 1 (RefSeq),\"Various polyols ABC transporter, periplasmic substrate-binding protein\",multiple sugar transport system substrate-binding protein,MKTLRNLLCSAAVASVMASGAMADGHGWSLKDAAAPYAGTTVDVVFLLRPGYEAIEAMLPAFEEETGIKVNVIKHPYENALGEQVRDFVAGGDLDVALIDLVWIGSFAENEWILPLADVQAKFPDAVDPDLDIDDFFPLVLNAFGGWNDTIYGLPFDNYSGLMFYNRCMLEEAGFDGPPSTWEELKDVYGPALTKDGKYAFALQSKRNETQSADSFARMLWPFGGSFLNEEFRSNLMSEGSQAGLKFRQELMEYMPDGIVAYDHAETVNAFSQGDVAMITEWSAFYSSVVSPETSRVADCVEIAPEPMGPAGRKPALGGFSLAVASQADEAEQAAAYLFIQWATSKANAREYLERGGVPARQSVYQQDGLEEFKFVPALVESWQDGVPEFRPRFAEWPEITEIVQEWGTKMMLGEVTTEEGAQEIGTRMEEVLDAAGYYSGEKPLAQ\r\ntransporters,Dinoroseobacter shibae DFL-12,Dino,3607126,Dshi_0548,DSHI_RS02775,WP_012177226.1,tr|A8LPH1|A8LPH1_DINSH,\"ABC transporter for Xylitol, permease component 1\",Specific phenotypes on Xylitol; Xylitol. Phenotype is very specific,binding-protein-dependent transport systems inner membrane component (RefSeq),\"Various polyols ABC transporter, permease component 1\",multiple sugar transport system permease protein,MSGQVPRKTVFAFIGPAVIGLALVGIAPLLYALWTSLHFYNLTKLRRVEFIGLENYWTVLTDEVFWQAMGRTFFLLGTALPLQIALGLGIALVLHQPGLTLVKTLARLSLVLPMATTYAVVGLLGQVMFNQKFGVVNQLLGGADINWIGDPENAFAMIIFWDVWQWTPFVALVLLAGLTMVPGEVEEAARLETKSKWTVLRYVQLPFLLPGLVAVLILRTADTLKLFDMVFTLTRGGPGSSTEFISLMIQRVGFRGFDQGLASAQAIILLIITIVLAQIYIRVFYKEV\r\ntransporters,Dinoroseobacter shibae DFL-12,Dino,3607127,Dshi_0549,DSHI_RS02780,WP_012177227.1,tr|A8LPH2|A8LPH2_DINSH,\"ABC transporter for Xylitol, permease component 2\",Specific phenotypes on Xylitol; Xylitol. Phenotype is very specific,binding-protein-dependent transport systems inner membrane component (RefSeq),\"Various polyols ABC transporter, permease component 2\",multiple sugar transport system permease protein,MTSTRSLFSQIALLVLIITVCVFPFYWMVTTSLKTQIVALEAPPVWIFEPTLSNYREALFEDGVLRTLINSLIIAISTTFLALVLGVPAAFALARFEFRGKKDLWFWFITNRMISPIVLALPFFLIARNLGLLDKHITLILIYLTFNLPIVIWIVTDQFRGIPYDLDEAARLEGASQFTIMRKICLPLAMPGVAVSAIFSFIFSWNELMFGLILTRSEAKTAPAMAVSFMEGYNLPYGKIMATSTLIVIPVLIFALIASKQLVRGLTMGAVK\r\ncatabolism,Dinoroseobacter shibae DFL-12,Dino,3609040,Dshi_2429,DSHI_RS12360,WP_012179094.1,tr|A8LS70|A8LS70_DINSH,Rhamnulokinase RhaK in alpha-proteobacteria (EC 2.7.1.5),Specifically important for: L-Rhamnose monohydrate. The second step in rhamnose catabolism (SEED_correct),carbohydrate kinase FGGY (RefSeq),Rhamnulokinase RhaK in alpha-proteobacteria (EC 2.7.1.5),,MTRHVAVIDIGKTNAKLALVDRQSLTEISVITRPNTVLPGPPWPHFDVDGHWAFLLDGLRDFQARHGIDAISITTHGACAALLQKDGALAAPILDYEHPGPDDTALAYDALRPPFSETGSPRLAGGLNIGAQLFWQFHTDPALRDRTRQIVTYPQFWGAKLTGVTATDVTSLGCHTDLWNPHAGAVSSLVDRLGLTGKLAPVRKPHDILGPVLPAVAAQTGLAPGTPVHCGIHDSNASLLPYVLTQTSPFSVISTGTWVVAMSVGGRPVVLDPDLDTLINVTALGQPAPSARFMGGREHDLATEGTGPPPSAQDLDHILSRQILLLPAVVPDTGPFKGQASRWEGDAPAPGTGARGAAVALYLALVTAECLSNIGHAGKIIVEGPFAGNRLYLEMLSVAMEADVVRASGTTGTSAGAALLAGGDAGAPPRPDSLVALPAASKTRLRHYAAHWRQRARRRTP\r\ncatabolism,Dinoroseobacter shibae DFL-12,Dino,3609047,Dshi_2436,DSHI_RS12395,WP_012179101.1,tr|A8LS77|A8LS77_DINSH,rhamnulose-1-phosphate aldolase (EC 4.1.2.19) / lactaldehyde dehydrogenase (EC 1.2.1.22),Specifically important for: L-Rhamnose monohydrate. Part of rhamnose catabolism via rhamnulose. TIGR annotates the C terminal part as alcohol dehydrogenase rather than as lactaldehyde dehydrogenase but do not see why (SEED_correct),rhamnulose-1-phosphate aldolase/alcohol dehydrogenase (RefSeq),Predicted rhamnulose-1-phosphate aldolase (EC 4.1.2.19) / Predicted lactaldehyde dehydrogenase (EC 1.2.1.22),,MLKSLETQLLESRWDDEVAKGMSESELLLYRSNILGADKRVTNYGGGNTSAKVMEADPLTGAQVEVLWVKGSGGDIGSIKMDGFATLYMDKLRALKGLYRGVAFEDEMVSYLPHCTFRLNPRAASIDTPLHAYVPRKHVDHVHADAIIAIAASDNSKELTQEIFGNRIGWLPWKRPGFELGLWLEKFCRENPEADGVVLESHGLFTWADTAKECYDQTIDVINVATRWLAERSAGVPAFGGAIHESLPAAARREVAARLMPAIRGFVSDNQHMVGHFNDSDAVLEFVNARDMEALAALGTSCPDHFLRTKIRPLVVPFDPAQNNILAVLSELPDQVAAYREAYAAYYARCKHDDSPALRDPNAVVYLVPGVGMITFAKDKATARISGEFYVNAINVMRGASAVSTYQGLPEQEAFDIEYWLLEEAKLQRMPKPKSLAGRVALVTGGAGGIGAATAERFLAEGACVVLADINEDSLASTQERLSERFGADVVRSVVMNVTREEAVAAAFAEASVEFGGVDILVSNAGIASSAPIEETSLALWNKNMDILSTGYFLVSRAAFKLMRVQDMGGAVVFVASKNGLAASPNAAAYCTAKASEIHLARCLALEGAEAGIRVNVVNPDAVLRGSKIWEGDWLEQRAGTYGTDKDGLEEMYRQRSLLKRSVLPEDIAEACYFFAADASSKSTGNIINVDAGNVQAFTR\r\ntransporters,Dinoroseobacter shibae DFL-12,Dino,3609738,Dshi_3121,DSHI_RS15825,WP_012179782.1,tr|A8LLA5|A8LLA5_DINSH,Tricarboxylate transport membrane protein TctA,specific phenotype on citrate and cofit with other nearby components; SEED_correct,protein of unknown function DUF112 transmembrane (RefSeq),Tricarboxylate transport membrane protein TctA,putative tricarboxylic transport membrane protein,MLEGLLIGLQTAFSIQNLAMVIGGCLIGTFIGMLPGLGPMSIIAIMIPVAISLGDPSAALILLAGVYYGAIFGGSTSSILLNAPGVAGTVATSFDGYPMAQQGKAGKALTIAAIASFAGGTIGAILLMVFAPALSSVALLFHSAEYFALMVVGLSAIAAFAGTGQVAKALLMTILGLIMATVGEGALFASPRFTMGLMDLQSGFGFITLAMAMFALPEALFLVMNPLRAASGQGGGEIKDLRITRAEARSIAPVIGRQSVQGFFIGVLPGAGATIASFLGYAVERNIASKDEQAEFGKGSVKGLAAPETANNAACTGSFVPLLTLGIPGSGTTAILLGALLALNVSPGPRLMIDAPEIFWAVIMSMFIGNLVLLILNLPLIPYIAKILSVPRNYLIPFILFFTLMGAYIGQNNATELLLLVGFGICATILKFADYPLAPLLIGFILGGLLENNFSRAMQLYDGISFIWERPMTLGLLVIAALLIILPSYRNRRAKARAAGVADGD\r\ntransporters,Dinoroseobacter shibae DFL-12,Dino,3609739,Dshi_3122,DSHI_RS15830,WP_012179783.1,tr|A8LLA6|A8LLA6_DINSH,Tricarboxylate transport protein TctB,specific phenotype on citrate and cofit with other nearby components; SEED_correct,hypothetical protein (RefSeq),Tricarboxylate transport protein TctB,putative tricarboxylic transport membrane protein,MALDRWIALVLLGVCLIYGYTAWFTMDADLAPFMRRNPIWPSTFPKVLSVLGAVAALVILLGLEGPQKPPKAGDIDYRRLGDYKIGQAALLLGLMVGYALLLRPAGFLVSTTSFLILGSVILGERNWPVMIGVAVVATGAIWYLVQEVLGIFLRPLPMFMGV\r\ntransporters,Dinoroseobacter shibae DFL-12,Dino,3609740,Dshi_3123,DSHI_RS15835,WP_012179784.1,tr|A8LLA7|A8LLA7_DINSH,Tricarboxylate transport protein TctC,specific phenotype on citrate and cofit with other nearby components; SEED_correct,hypothetical protein (RefSeq),Tricarboxylate transport protein TctC,putative tricarboxylic transport membrane protein,MTLEFTRRTLIAAAAALAMTGGAHAEGEQMLESIHFLIPGGAGGGWDGTARGTGEALTKAGLVGSASYENMSGGGGGKAIAYLIENANSSHGTLMVNSTPIVIRSLTGEISQSFRDLTLVAGTIGDYAAIVVGKDSPINSMADLIAAYDADPNATAVGGGSVPGGMDHLVAAMVMEAAGKDALGVKYIPYDAGGKAMAALLSGEIAALSTGFSEAIDLAEAGEVKIIGVTAPERVAAYDSAPTMVEQGIDTTFVNWRGFFAAPGLPEEQLAAYQATLEKMYDTPEWEEVRARNGWVNIHNSGADFQSFLEAQEAQIGDLMKKLGFL\r\ntransporters,Escherichia coli BW25113,Keio,17022,b2943,BW25113_RS15285,WP_001112301.1,sp|P0AEP1|GALP_ECOLI,galactose:H+ symporter (galP),\"A characterized E. coli protein, see EcoCyc. Not sure why SEED has it as transporting arabinose. KEGG_correct.\",D-galactose transporter (NCBI),Arabinose-proton symporter,\"MFS transporter, SP family, galactose:H+ symporter\",MPDAKKQGRSNKAMTFFVCFLAALAGLLFGLDIGVIAGALPFIADEFQITSHTQEWVVSSMMFGAAVGAVGSGWLSFKLGRKKSLMIGAILFVAGSLFSAAAPNVEVLILSRVLLGLAVGVASYTAPLYLSEIAPEKIRGSMISMYQLMITIGILGAYLSDTAFSYTGAWRWMLGVIIIPAILLLIGVFFLPDSPRWFAAKRRFVDAERVLLRLRDTSAEAKRELDEIRESLQVKQSGWALFKENSNFRRAVFLGVLLQVMQQFTGMNVIMYYAPKIFELAGYTNTTEQMWGTVIVGLTNVLATFIAIGLVDRWGRKPTLTLGFLVMAAGMGVLGTMMHIGIHSPSAQYFAIAMLLMFIVGFAMSAGPLIWVLCSEIQPLKGRDFGITCSTATNWIANMIVGATFLTMLNTLGNANTFWVYAALNVLFILLTLWLVPETKHVSLEHIERNLMKGRKLREIGAHD\r\ntransporters,Escherichia coli BW25113,Keio,17664,b3603,BW25113_RS18715,WP_001295233.1,sp|P33231|LLDP_ECOLI,(R)-lactate / (S)-lactate / glycolate:H+ symporter LldP,\"This protein is annotated by EcoCyc as transporting both stereoisomers of lactate and glycolate, which is consistent with our genetic data and a more detailed study (PMID:11785976). The previous study found that yghK (glcA) also transported glycolate and was important for glycolyate utilization. We instead observed a very subtle defect of the glcA mutant during growth on glycolate (fitness = -0.5).\",L-lactate permease (NCBI),L-lactate permease,L-lactate permease,MNLWQQNYDPAGNIWLSSLIASLPILFFFFALIKLKLKGYVAASWTVAIALAVALLFYKMPVANALASVVYGFFYGLWPIAWIIIAAVFVYKISVKTGQFDIIRSSILSITPDQRLQMLIVGFCFGAFLEGAAGFGAPVAITAALLVGLGFKPLYAAGLCLIVNTAPVAFGAMGIPILVAGQVTGIDSFEIGQMVGRQLPFMTIIVLFWIMAIMDGWRGIKETWPAVVVAGGSFAIAQYLSSNFIGPELPDIISSLVSLLCLTLFLKRWQPVRVFRFGDLGASQVDMTLAHTGYTAGQVLRAWTPFLFLTATVTLWSIPPFKALFASGGALYEWVINIPVPYLDKLVARMPPVVSEATAYAAVFKFDWFSATGTAILFAALLSIVWLKMKPSDAISTFGSTLKELALPIYSIGMVLAFAFISNYSGLSSTLALALAHTGHAFTFFSPFLGWLGVFLTGSDTSSNALFAALQATAAQQIGVSDLLLVAANTTGGVTGKMISPQSIAIACAAVGLVGKESDLFRFTVKHSLIFTCIVGVITTLQAYVLTWMIP\r\ntransporters,Escherichia coli BW25113,Keio,17808,b3748,BW25113_RS19480,WP_001301979.1,sp|P04982|RBSD_ECOLI,D-ribose pyranase [EC:5.4.99.62],\"This is a ribose pyranase, not a transporter, see PMID:15060078 or UniProt:RBSD_ECOLI (KEGG_correct)\",D-ribose high-affinity transport system; membrane-associated protein (VIMSS),\"Ribose ABC transport system, high affinity permease RbsD (TC 3.A.1.2.1)\",D-ribose pyranase,MKKGTVLNSDISSVISRLGHTDTLVVCDAGLPIPKSTTRIDMALTQGVPSFMQVLGVVTNEMQVEAAIIAEEIKHHNPQLHETLLTHLEQLQKHQGNTIEIRYTTHEQFKQQTAESQAVIRSGECSPYANIILCAGVTF\r\ntransporters,Sphingomonas koreensis DSMZ 15582,Korea,Ga0059261_1577,Ga0059261_1577,SKO01S_RS16465,WP_066580458.1,,L-glutamine and L-histidine transporter,\"Specific phenotype on glutamine; also important for histidine utilization; detrimental to fitness on some other amino acids (proline, alanine) which may indicate that it likes these amino acids\",\"amino acid/polyamine/organocation transporter, APC superfamily (TC 2.A.3)\",amino acid transporter,\"basic amino acid/polyamine antiporter, APA family\",MAGGLFRTKRVKDAAEQAPEHRLAATLSWPHLVALGVGAIVGTGILTLIGVGAGKAGPAVIMSFVIAGAICACAALAYAEMATMMPASGSAYAYSYAVLGEIIAWVVGWSLILEYSLVVSTVAVGWSGYAAPLLHAWTGMPLELMAGPHANGIVNLPAIFIIAVVAGLLCLGTKESATLNAALVVVKIIALAVFVAVALPYFNGANLEPFAPFGFAKTISPDGVERGVMAAAAIIFFAFYGFDAISTAAEETKNPGRDLAIGIVGSMIACVAIYMLVAVAAVGATPFTHFANSPEPLALILRDLGRPGFATFLAVSAIIALPTVLLGFLFGQSRIFFTMARDGMLPIGLAKVSKRGSPVRITLFTAAIVAVIAGLLPIDEIAALANAGTLAAFTAVAVCMMVLRVRAPDMPRMFRTPLWWLVGAIAVLGCIYLFFSLPVKTQLWFLAWNALGVVIYFAYARPRVSAKGIE\r\ncatabolism,Sphingomonas koreensis DSMZ 15582,Korea,Ga0059261_1581,Ga0059261_1581,SKO01S_RS16485,WP_066580460.1,,Maltose or maltodextrin glucosidase (EC 3.2.1.20),\"Specifically important for: D-Maltose monohydrate; a-Cyclodextrin. The first step in catabolism of maltose or longer maltodextrin polymers. The phenotype on maltose implies that maltose is also a substrate, which was ambiguous with the original SEED annotation (SEED_correct)\",Glycosidases,Maltodextrin glucosidase (EC 3.2.1.20),,MRSLAFALTLLAGTVASAQTAAPAELRARAAETEVLYFLLPDRFENGDPSNDRGGLRGDRLTTGFDPAHKGFFHGGDLKGLIRRLDYIQSLGASAIWLGPIYKNKPVQGGPGQETAGYHGYWITDFTRVDPHFGTNDEMKAFVDAAHARGIKVYLDIITNHTADVIQYRECPKSACDYRSRADYPYQRKGGVKGAAINPGFAGDGVQTPENFAKLSDPNYAYTTVVPEAERTVKVPAWLNDPIHYHNRGNTTFRNESSTMGDFVGLDDLMTESPRVLQGFIDIYGAWIDQFGIDGFRIDTARHVNPEFWQGFSKAMIERAKARGIPNFHIFGEVANEGDVGDLALHTRVHQLPSVLDFGFRAAVQHTVAGEKGPDMLAAMFDRDALYEGGAEAALRLPTFISNHDHGRFSTDVRKAFPKASDDEVLARVKLAHAMLLLLRGVPTIYSGDEQGFVSDGNDQDAREDMFPSKVAIYNDNRLLGTDKTTADSNFDTGHPLYMEISKLSAIRKATPALSRGRQVTRAYDEKPGLFAVSRFDPASGAEVLVAFNTSAAPITRQVEVGVSSTAFAPLVGQCAASASAPGSVTVTLPAFGYVACVAAGGAK\r\ntransporters,Sphingomonas koreensis DSMZ 15582,Korea,Ga0059261_1777,Ga0059261_1777,SKO01S_RS20290,WP_083954491.1,,\"D-fructose transporter, sugar porter family\",\"Specific phenotype on fructose and raffinose; during growth on raffinose, it is probably cleaved to sucrose in the periplasm (by Ga0059261_1166), so this probably is important on raffinose because of the fructose uptake\",\"MFS transporter, sugar porter (SP) family\",,,MHSVSASFAGAPDEEARATVAIILSAAGAALGGLLFGFDTAVISGATQALQLQFGLTDAMLGFTVASALIGTVLGSLIAGAPADRFGRKGVMLTVAIAYVVSSLGTGLAPDLNAFLVFRFMGGLAIGAASVVTPIYIAEVSPARFRGRLVAMNQLNIVLGILIAFLSNYIIAGLVQYDVAWRWMFGIVAVPSTIFLLVTLLLPESPRWLAIHGQADRARDVMQRLGFADPRAELARIELAEAREEAAGKPRLFQRSHFTPVACAIAIAMFNQLSGINALLYYAPRIFELAGAGADSALLQSIAVGGTNLVFTVAALFLIDRFGRRPLLFVGSVICAATLLLVGWQLESAKPDGTLILFGLLGFIAAFAMSQGAVIWVFISEVFPSAVRGKGQALGSTTHWVMAAAITWAFPVFAASVGGWVFAFFGAMMLLQLLWTWKFMPETNGIALEDMNLGSARA\r\ncatabolism,Sphingomonas koreensis DSMZ 15582,Korea,Ga0059261_1778,Ga0059261_1778,SKO01S_RS20285,WP_066581977.1,,beta-fructosidase for D-raffinose catabolism (EC 3.2.1.26),\"Specifically important for: D-Raffinose pentahydrate. Uncertain if it acts on raffinose or sucrose (raffinose could be cleaved to galactose + sucrose first). Alternatively, SEED suggests that it hydrolyzes sucrose-6-phosphate, but the basis for this is unclear.\",Beta-fructosidases (levanase/invertase),Sucrose-6-phosphate hydrolase (EC 3.2.1.B3),,MKKLAILLTAAAVLASAASAQQADVRPGYHYGPARNWMNDPNGLVYYDGEYHLFYQYNPHGDRWGHMNWGHAVSRDLVNWEELPVAIPETDVMAFSGTAVIDWNNTTGFGKNGKPPMIAIYTGHDPKTERQSQYLAYSNDRGRTFTIHGEVLNAGNEKHFRDPKVFWHAPTRRWVMVVLKAAANTAEIYTSPNLKDWTHRSSFGPAGGRGKFWECPDLFELPVEGGAPGETRWVLSINLGDNAIGGGSGGQYFVGDFDGEKFTLVPGWPAAPQWMDYGADFYATISWNDMPKGDPRRVWMGWANDWRYAEAIPTWPARGIMTVARTVALRKTAEGYHLLQAPVRELATLRGTPQRAPALALSETPVPLPIEGGKADIELELDTGTADQVSIALTDGQGWQTRIGVNPTVNEVFVDRTRSGPHFHDGFANRHVAPVDLKSRKVKLRVLADESIVEVFVNDGRQTITDRFYRGGGALTWSATARGGKATMNLTAWPMRSMESRK\r\ncatabolism,Sphingomonas koreensis DSMZ 15582,Korea,Ga0059261_1893,Ga0059261_1893,SKO01S_RS12770,WP_066578889.1,,Xylonolactonase (EC 3.1.1.68),Specifically important for: D-Xylose. xylonolactone is an intermediate in the oxidation of xylose (SEED_correct),Gluconolactonase,Xylonolactonase (EC 3.1.1.68),,MGVVLTAPEPVWALGAPLLEGPVWVQRDAALWFVDIKSHRIHRFDPASGERRSWDAPAQVGFCLPAANGKFVAGLQTGLAIFDPADRSFTPLTDPEPALPGNRLNDGTVDPAGRLWFGTMDDGESEATGRIYRLGGDGRCVAETAAVSISNGPAVSPDGRTLYHVDTLGGVIHSAAIGDDGILGDSRVFATIPNSEGFPDGPAVDAEGCVWIGLYNGAAVRRYSPAGELLDVVAFPVGAITKVAFGGPDLRTVYATTASKHLDADGRAEEPHAGDLFAFRVSVPGMPGTEVSVGL\r\ncatabolism,Sphingomonas koreensis DSMZ 15582,Korea,Ga0059261_1894,Ga0059261_1894,SKO01S_RS12775,WP_066578892.1,,D-xylose 1-dehydrogenase (EC 1.1.1.175),Specifically important for: D-Xylose. the first step in xylose oxidation (SEED_correct),Dehydrogenases with different specificities (related to short-chain alcohol dehydrogenases),D-xylose 1-dehydrogenase (EC 1.1.1.175),,MTQPAAASAAAVYPSLKGKRVLVTGGGSGIGAGIVEGFARQGADVTFFDIAGAESQLLVERLSADGHKACFERVDLTDVASLQAVIARLIKGAGGFDILVNNAANDDRHAIDEITEAYWDERLSVNLKHIFFCAQAVVPAMRARGGGAIVNLGSISWHLGLSDLVLYQTCKAAIEGLTRSLARDLGRDGIRATCVIPGNVRTPRQLKWYSPEGEAEIVAAQCLDGRLAPEDVAAMVLFLASDDARLVTGHSYFVDAGWR\r\ncatabolism,Sphingomonas koreensis DSMZ 15582,Korea,Ga0059261_1895,Ga0059261_1895,SKO01S_RS12780,WP_083629275.1,,2-keto-3-deoxyxylonate dehydratase,\"# Specifically important in carbon source D-Xylose. 31% identical to HVO_B0027, which is 2-keto-3-deoxyxylonate dehydratase (see PMC2785657). Ga0059261_1895 is also 61% identical to xylX from Caulobacter crescentus, which is also required for xylose utilization (PMC1855722) and is believed to have this activity as well (ibid.).\",Fumarylacetoacetate (FAA) hydrolase family protein,Fumarylacetoacetate hydrolase family protein,,VPEAFDVSALPEDAGQATLAGRVMLAEGPVPVIVREGRVHDVSTVAATTADLFDLPDPASAAGKYLCDVTDLTIGGGAYALLAPIDLQCVKACGVTFAVSALERVIEERARGDAGQAAAIRAELEEKIGGGIRSVVPGSADAAKLKAVLIDAGMWSQYLEVAIGPDAEVFTKAPVLSSVGWGAEIGIRSDSSWNNPEPEVVVIANAAGKVIGATLGNDVNLRDFEGRSALLLGKAKDNNAACAIGPFVRLFDAQFGIDDVRNAELDLLIEGPEGYRLEGHSSMNQISRDPLELVRQTLSEHQYPDGFALFLGTLFAPVQDRDDPGRGFTHKIGDTVRIRSRKLGTLTNRVTTSKDAAPWTFGIRELYRSIAARTAA\r\ncatabolism,Sphingomonas koreensis DSMZ 15582,Korea,Ga0059261_1896,Ga0059261_1896,SKO01S_RS12785,WP_066578896.1,,Ketoglutarate semialdehyde dehydrogenase (EC 1.2.1.26),Specifically important for: D-Xylose. The KEGG annotation is vague; xylose is oxidized to alpha-ketoglutarate semialdehyde (SEED_correct),NAD-dependent aldehyde dehydrogenases,Ketoglutarate semialdehyde dehydrogenase (EC 1.2.1.26),NADP-dependent aldehyde dehydrogenase,MELTGGLFIGGERRQSDARFHAYDPAAGADIADAGFASASEQDVADACAAAEAAFLPYSTKPLEARARFLETIADEIEALGDVLIERACRESGLPAARITGERGRTVGQLRLFAKEVRDGAWQKLRIDHADRERTPPRPDLRLRMVPLGPVAVFGASNFPLAFSTAGGDTASAFAAGCPVVVKGHRAHPGTAELIATAIIRAVETCGMPAGTFGMVNGTSRKVGETLVADPRIQAVGFTGSRGGGEALMRIAAARPRPIPVYAEMAAINPVILMPQALKARGPALAEAFVASLAMGAGQFCTNPGLVMGIDGPELDAFVARAGEVLSGQAAQVMLTDGIWEAFESGKAKLAGSAFVTKVAEGVEADGPNRGRAALFSVAGKDFLADPVHLHEVFGVSSVVVRCASLEELKAVLGELEGQLTATLQVDEGDYPEAQALLPVLERTVGRVIANGWPTGVEVTHAMVHGGPYPSTSDPRSTSVGTLAIDRFLRPVSYQDLPEALLPAALRENAQAGTVARIDGSWTI\r\ncatabolism,Marinobacter adhaerens HP15,Marino,GFF2534,HP15_2478,HP15_RS12360,WP_041645374.1,tr|E4PHV4|E4PHV4_MARAH,Acyl-CoA dehydrogenase (EC 1.3.8.7),\"Specifically important for: Tween 20. tween 20 hydrolyzes to a mix of C12, C14, and C16 fatty acids; this is probably part of beta oxidation (SEED_correct)\",acyl-CoA dehydrogenase family protein,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MRFVLNEVFDAPALWASLPKVAEHVDPETADAILEEAGKISSGVLAPLNREGDEQGCKWNDGEVTSPEGFKEAYQTIVEGGWNGLGGNPDFGGMGMPKTLVAQFEEMMQGANMAFGLAPMLTAGACLALDAHGSDELKEKYLPNMYSGVWSGAMDLTEPHAGTDLGIIRTKAEPNDDGSFNVTGTKIFITWGEHDMAENIIHLVLAKLPDAPKGPKGISMFLVPKFLVNDDGSLGERNSFSCGSLEKKMGIKGSATCVMNFDGAKGWLVGEENKGLAAMFTMMNYERLGVGIQGIGAAEASLQSAREYALDRIQSRAPTGAQQPEKAADPILVHPDVRRMLLTMKSYVEGGRTFSTYVAQWLDIAKFAEDDERRKHAEGMVALLTPVAKAFLTDRGLDTCIMGQQVFGGHGFIREWGQEQLVRDCRITQIYEGTNGIQALDLMGRKVVGTQGKLYELFAQDVANFLEENSGNDHLRPFLEPLAAAVERLDDVTEHVIKQAGDNPNAIGAASVDYLDLFGLTALGYMWAKIVKAAAPQADSDTSGFYSGKLKTARFYFDRLLPKTVSLAEGIRSGSDSMMALTAEEF\r\ncatabolism,Marinobacter adhaerens HP15,Marino,GFF2749,HP15_2693,HP15_RS13380,WP_014577963.1,tr|E4PKI1|E4PKI1_MARAH,3-hydroxyacyl-CoA dehydrogenase PaaC (EC 1.1.1.-),Specifically important for: L-Phenylalanine. Part of phenylalanine catabolism via phenylacetate (SEED_correct),3-hydroxybutyryl-CoA dehydrogenase,3-hydroxyacyl-CoA dehydrogenase PaaC (EC 1.1.1.-),3-hydroxybutyryl-CoA dehydrogenase,MPALDTQTKVAVVGAGAMGSGIAQVAAQAGHQVYLHDQREGAAEAGRDGIAKQLQRRVDKGKMQQQELDDVIGRIHPVAKLDDVADAGLVIEAIIEDLQIKRQLLASLEDLCTADAILATNTSSISVTALGADMSKPERLVGMHFFNPAPLMALVEVVMGLATSKTVADTVHATATAWGKKPVYATSTPGFIVNRVARPFYAESLRLLQEQATDAATLDAIIREAGQFRMGAFELTDLIGHDVNYAVTSSVFNSYYQDPRFLPSLIQKELVEAGRLGRKSGQGFYPYGESAEKPQPKTEPAHQSDESVIIAEGNPGVAAPLLERLKAAGLTIIERDGPGQIRFGDAVLALTDGRMATERAACEGVANLVLFDLAFDYSKASRLALAPADQASDAAVSCACALLQKAGIEVSLIADRPGLVIMRTVAMLANEAADAALHGVATVADIDLAMKAGLNYPDGPLSWSDRLGAGHVFKVLTNIQTSYAEDRYRPALLLRKNAFAQKGFYS\r\ncatabolism,Marinobacter adhaerens HP15,Marino,GFF2751,HP15_2695,HP15_RS13390,WP_041646301.1,tr|E4PKI3|E4PKI3_MARAH,Beta-ketoadipyl CoA thiolase (EC 2.3.1.-),\"Specifically important for: L-Phenylalanine. The second SEED annotation (beta-ketoadipyl-CoA thiolase) is part of phenylalanine catabolism via phenylacetate. Not clear if the acetyl-CoA acetyltransferase annotation is correct, so it was removed, but it remains plausible (SEED_correct)\",acetyl-CoA acetyltransferase,Acetyl-CoA acetyltransferase (EC 2.3.1.9) @ Beta-ketoadipyl CoA thiolase (EC 2.3.1.-),,MSADNILKDAYIVDAIRTPIGRYGGALSAVRADDLGAIPIKALAERYPDLDWSKIDDVLYGCANQAGEDNRDVARMSLLLAGLPVDVPGSTINRLCGSGMDAVGSAARAIRTGETQLMIAGGVESMSRAPFVMGKADSAFSRKAEIFDTTIGWRFVNPVLKKQYGIDSMPETAENVAADFGISREDQDAFALRSQQRTAAAQKEGRLAAEITPVTIPRRKQDPLVVDTDEHPRETSLEKLASLPTPFRENGTVTAGNASGVNDGACALLLAGADALKQYNLKPRARVVAMATAGVEPRIMGFGPAPATRKVLATAGLELADMDVIELNEAFAAQALAVTRDLGLPDDAEHVNPNGGAIALGHPLGMSGARLVTTALNELERRHAAGQKARYALCTMCIGVGQGIALIIERMDAVA\r\ncatabolism,Marinobacter adhaerens HP15,Marino,GFF3193,HP15_3135,HP15_RS15560,WP_014578345.1,tr|E4PPM8|E4PPM8_MARAH,ethanol oxidation regulatory protein ercA,Specifically important for: Ethanol; D-Trehalose dihydrate. Similar to ercA (PA1991) which apparently has a regulatory role (PMCID: PMC3754586) rather than being directly involved in catabolism. Also this gene is adjacent to an apparent ercS (HP15_3134). Do not see why SEED annotates it as aldehyde dehydrogenase. HP15_3164 is probably the ethanol dehydrogenase and HP15_3144 the acetaldehyde dehydrogenase.,iron-containing alcohol dehydrogenase,Alcohol dehydrogenase (EC 1.1.1.1); Acetaldehyde dehydrogenase (EC 1.2.1.10),,MSHDISSLRKFVSPEIVFGAGSRKSVANFASNFGARHVFLVSDPGVAAAGWVDEIVTLLTDAGIRSTVYTGVSPNPKVDEVMTGAELYKSNECDVIVAIGGGSPMDCAKGIGIVATHGRSILEFEGVDTITNPSPPLILIPTTAGTSADVSQFAIISDPNRRFKFSIISKAVVPDVSLIDPEVTETMDAYLTACTGVDALVHAIEAYVSTGSGPLTDTHALEAIRLINRNLEPLVDNTADPYLREQIMLASMQAGLAFSNAILGAVHAMSHSLGGFLDLPHGLCNALLLEHVVAYNFQSAEDRFRRVAEAMDIDTRGMAKPEIKKRLMNRIVELKRRVGLEARLAQLGVSVSDIPHLSGFALQDPCILTNPRKSSLRDVQVVYEEAL\r\ncatabolism,Marinobacter adhaerens HP15,Marino,GFF879,HP15_858,HP15_RS04300,WP_014576347.1,tr|E4PR87|E4PR87_MARAH,phenylalanine aminotransferase (EC 2.6.1.57),\"Specifically important for: L-Phenylalanine. The donor for the amine group is uncertain, but this gene is specifically involved in catabolism of phenylalanine via phenylpyruvate (the product of this enzyme)\",aspartate aminotransferase,Aspartate aminotransferase (EC 2.6.1.1),aspartate aminotransferase,MFEALQPLPQDPILQLMQTFLEDDRPDKVDLGIGVYKDDAGNTPIMAAVHEAERRLLEGETTKSYVGPAGSAGFNSAMAELILGSNSPLVRDGRVSVIQTPGGCGALRMAAEFLRLCKADTKVWVSTPTWANHLPLLGGAGLTIREYPYLNPETLQVDFGAMLETLERADAGDVVLLHGCCHNPSGADLSLAQWQEVTSLIQRKGLLPFVDMAYQGLGEGLDADAAGLRHLASAVPEMLIAASCSKNFGLYRERTGALALVSETATVNAAATSQLLSVIRSHYSMPPAHGASIVETILGDDDLRAQWQQELNGMCKRILHLRHAFADALSPVGDFDFIARQRGMFSFLGISPEQVGRLRKEHGIHMLESSRVNVAGLNDHVLPQVASALREVLGK\r\ncatabolism,Marinobacter adhaerens HP15,Marino,GFF880,HP15_859,HP15_RS04305,WP_014576348.1,tr|E4PR88|E4PR88_MARAH,phenylpyruvate ferredoxin oxidoreductase (EC 1.2.7.8),\"Specifically important for: L-Phenylalanine. This is the second step in phenylalanine catabolism (to phenylacetyl-CoA). Alternatively, could be a decarboxylase (forming phenylacetaldehyde), but we did not identify a separate aldehyde dehydrogenase. Annotated as indolepyruvate ferredoxin oxidoreductase, which has the same EC number but is part of tryptophan catabolism..\",pyruvate ferredoxin/flavodoxin oxidoreductase,\"Indolepyruvate ferredoxin oxidoreductase, alpha and beta subunits\",,MSADTPQLDDYKLEDRYLRESGRVFLTGTQALVRIPLMQAALDRKQGLNTAGLVSGYRGSPLGAVDQALWQAKDLLDENRIDFVPAINEDLAATILLGTQQVETDEDRQVEGVFGLWYGKGPGVDRAGDALKHGTTYGSSPHGGVLVVAGDDHGCVSSSMPHQSDVAFMSFFMPTINPANIAEYLEFGLWGYALSRYSGCWVGFKAISETVESAASVEIPPAPDFVTPDDFTAPESGLHYRWPDLPGPQLETRIEHKLAAVQAFARANRIDRCLFDNKEARFGIVTTGKGHLDLLEALDLLGIDEDKARDMGLDIYKVGMVWPLERRGILDFVHGKEEVLVIEEKRGIIESQIKEYMSEPDRPGEVLITGKQDELGRPLIPYVGELSPKLVAGFLAARLGRFFEVDFSERMAEISAMTTAQDPGGVKRMPYFCSGCPHNTSTKVPEGSKALAGIGCHFMASWMGRNTESLIQMGGEGVNWIGKSRYTGNPHVFQNLGEGTYFHSGSMAIRQAVAAGINITYKILFNDAVAMTGGQPVDGQITVDRIAQQMAAEGVNRVVVLSDEPEKYDGHHDLFPKDVTFHDRSELDQVQRELRDIPGCTVLIYDQTCAAEKRRRRKRKQFPDPAKRAFINHHVCEGCGDCSVQSNCLSVVPRKTELGRKRKIDQSSCNKDFSCVNGFCPSFVTIEGGQLRKSRGVDTGSVLTRKLADIPAPKLPEMTGSYDLLVGGVGGTGVVTVGQLITMAAHLESRGASVLDFMGFAQKGGTVLSYVRMAPSPDKLHQVRISNGQADAVIACDLVVASSQKALSVLRPNHTRIVANEAELPTADYVLFRDADMKADKRLGLLKNAVGEDHFDQLDANGIAEKLMGDTVFSNVMMLGFAWQKGLLPLSEAALMKAIELNGVAIDRNKEAFGWGRLSAVDPSAVTDLLDDSNAQVVEVKPEPTLDELINTRHKHLVNYQNQRWADQYRDAVAGVRKAEESLGETNLLLTRAVAQQLYRFMAYKDEYEVARLFAETDFMKEVNETFEGDFKVHFHLAPPLLSGETDAQGRPKKRRFGPWMFRAFRLLAKLRGLRGTAIDPFRYSADRKLDRAMLKDYQSLVDRIGRELNASNYETFLQLAELPADVRGYGPVREQAAESIREKQTQLIKALDTGRPTLIRTQQANEEANHV\r\ncatabolism,Shewanella oneidensis MR-1,MR1,200453,SO1275,SO_1275,NP_716898.1,tr|Q8EHE8|Q8EHE8_SHEON,succinate-semialdehyde dehydrogenase (NADP+) [EC: 1.2.1.16],\"Specifically important for: L-Isoleucine. Also very important with putrescine as the N source. The more specific KEGG annotation is consistent its role on N putrescine (which is converted to 4-aminobutyrate and then to succinate semialdehyde). Its role on isoleucine is unclear but a close homolog, Shewana3_3092, also has this phenotype (albeit milder). Also note that isoleucine is catabolized to propionyl-CoA and Shewana3_3092 is very important for propionate utilization. The annotation of son:SO_1275 in KEGG has been updated to list glutarate-semialdehyde as an additional substrate. (KEGG_correct)\",succinate-semialdehyde dehydrogenase (NCBI ptt file),Aldehyde dehydrogenase B (EC 1.2.1.22),succinate-semialdehyde dehydrogenase (NADP+),MLLNDPSLLRQQCYINGQWCDANSKETVAITNPATGAVIACVPVMGQAETQAAIAAAEAALPAWRALTAKERGAKLRRWFELLNENSDDLALLMTSEQGKPLTEAKGEVTYAASFIEWFAEEAKRIYGDTIPGHQGDKRIMVIKQPVGVTAAITPWNFPAAMITRKAAPALAAGCTMVVKPAPQTPFTALALAVLAERAGIPAGVFSVITGDAIAIGNEMCTNPIVRKLSFTGSTNVGIKLMAQCAPTLKKLSLELGGNAPFIVFDDANIDAAVEGAMIAKYRNAGQTCVCANRIYVQAGVYDEFAEKLSMAVAKLKVGEGIIAGVTTGPLINAAAVEKVQSHLEDAIKKGATVLAGGKVHELGGNFFEPTVLTNADKSMRVAREETFGPLAPLFKFNDVDDVIKQANDTEFGLAAYFYGRDISLVWKVAESLEYGMVGVNTGLISTEVAPFGGMKSSGLGREGSKYGIEEYLEIKYICMSV\r\ncatabolism,Shewanella oneidensis MR-1,MR1,201633,SO2492,SO_2492,NP_718079.1,tr|Q8EE95|Q8EE95_SHEON,acyl-CoA dehydrogenase (1.3.8.-),\"Specifically important for: Tween 20. Tween 20 hydrolyzes to a mix of C12, C14, and C16 fatty acids; this is probably part of beta oxidation. Similar to fadE from E. coli. The specific SEED annotation as butyryl-CoA dehydrogenase seems questionable but could still be correct\",\"oxidoreductase, acyl-CoA dehydrogenase family (NCBI ptt file)\",Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MLTIIIIALIAIIALFAVKSLRMQFITQPVFHFFKKVLPPLSDTEREAMEAGDVWWEGELFRGNPNWNTLHSYGKPTLTAEEKDFIDNQVMTALTMIDDFDIVHNRKDLPPELWDYFKKEGFFALIIPKKFGGKAFSAYANSTIVSKLASRSVSAAVTVMVPNSLGPGELLTHYGTEEQKERWLPALAKGDEIPCFALTGPEAGSDAGAIPDVGIVCRGEFNGEEVLGLKLTWNKRYITLAPVATVLGLAFQMRDPDGLLGEKKNLGITCALIPTDHPGVVIGRRHNPLNMAFMNGTTQGDEVFIPLDWIIGGPEFAGRGWRMLVECLSAGRGISLPALATASGHMATKTTTAYSYVRHQFGMAIGQFEGVQEALARIIANTYQLEAARRLTTTGIDLKVKPSVVTAIAKFHMTELGRAVMNDAMDIQSGKGIQLGPKNYLGHPYMSNPISITVEGANILTRSLMIFGQGATRCHPYVLAEMEAAAMENQHDALTRFDSLLMGHMGYATRNAFSALFNALTASRFGNAPVSGETKQYYKDMSRLSSALAFMTDISMLIMGGDLKRKEMLSARMGDVLSQLYLGSATLKLFEDNGRQQDDLPAVRYVMANRLHLAAKALEDVIRNFPNRPVAWLLRALIFPIGNHFNAPSDKMATELVSGMLKPSPARERITFLCPEFEGDVGGIAEVEQAFVAQYACKEIYKKLKKAQRSGELPAKVPNLVLFAKALEQGTISNDEHQTLLHADKLRLAAINVNDFEAL\r\ntransporters,Shewanella oneidensis MR-1,MR1,202564,SO3461,SO_3461,NP_719010.1,tr|Q8EBP8|Q8EBP8_SHEON,Fatty acid transporter,\"Specific phenotype on Tween-20, which is hydrolyzed extracellularly to fatty acids (typically around 12 carbons). This protein is distantly related (PF03547) to auxin efflux transporters in plants and to the malate permease mleT of Lactobacillus casei (PMID: 23835171)\",\"transporter, putative (NCBI ptt file)\",TRANSPORTER,,MTILTPLFAVFGIMLLGTLVQKLRFLPVETDQVLNQYVYYIAFPAVLLIALAQQPIEEILQWRFIAGYSAAMLVIYLMCIGISLLVNPKQHAIAAVRALNATFGNTAFIGIPLLVIIFPEQQSALVAAIASLLSVLMFAVALVSLELTTNKHRQHHAVVIMCLAITKNPIVIGCFIGISISALGITLPSGVALMIQQIGNTSSPCALFAVGMVLAKAMRYQKDSKLFSLTNFVELCLINLFKLILQPALVFFMLKSIGVTGDYLVMGVILSALPTAASVYLLAQRYNTQASTCAQGILFGTIVTFFSLPILEQLVKTYS\r\ntransporters,Shewanella oneidensis MR-1,MR1,202604,SO3503,SO_3503,NP_719050.1,tr|Q8EBL0|Q8EBL0_SHEON,\"N-acetyl glucosamine transporter, NagP\",Specific phenotype on NAG. Also see PMID:16857666 (SEED_correct),glucose/galactose transporter (NCBI ptt file),\"N-acetyl glucosamine transporter, NagP\",,MTLDKSQQKSSFLPMAIVAALFFILGFATWLNGSLMPYLKQILQLNPFQASLILFSFYIAVTFTALPSAWVIRKVGYKNGMALGMGVMMIAGLLFIPAAKTQVFALFLFAQLVMGAGQTLLQTAVNPYVVRLGPEESAAARVSVMGILNKGAGVIAPLVFSALILDSFKDRIGTTLTQVQIDEMANGLVLPYLGMAVFIGILALAVKKSPLPELSNEDEVADHTDKSQIKAALSHPNLALGVLALFVYVAVEVIAGDTIGTFALSLGIDHYGVMTSYTMVCMVLGYILGILLIPRVISQPTALMISAILGLLLTLGILFGDNNSYAIANLLLVPFGGVALPDTLLLIAFLGLANAIVWPAVWPLALSGMGKLTSTGSALLIMGIAGGAFGPVSWGLMSSATDMGQQGGYMVMLPCYLFILFYAVKGHKMRSWSAK\r\ncatabolism,Shewanella oneidensis MR-1,MR1,202608,SO3507,SO_3507,NP_719054.1,tr|Q8EBK6|Q8EBK6_SHEON,N-acetylglucosamine kinase (EC 2.7.1.59),Specifically important for: N-Acetyl-D-Glucosamine. First step in NAG catabolism; (SEED_correct); see PMID 16857666,conserved hypothetical protein (NCBI ptt file),N-acetylglucosamine kinase of eukaryotic type (EC 2.7.1.59),,MGLVQTNDQQLFIGVDGGGSKCRATIYTADGTVLGTGVAGRANPLHGLAQTFESIEASAHQALLDAGMKATDSHLLVAGLGLAGVNVPRLYQDVVNWQHPFAAMYVTTDLHTACIGAHRGADGAVIITGTGSCGYAHVGDASLSIGGHGFALGDKGSGAWLGLKAAEHVLLALDGFATPTALTEMLLSHLGVKDALGIVEHLAGKSSSCYAQLARNVLDCANAGDQVAIAIVQEGADYISEMARKLFMLNPVRFSMIGGLAEPLQAWLGSDVVAKISETLAPPELGAMYYAQQQFNSATV\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF1248,PGA1_c12640,PGA1_RS06295,WP_014874390.1,tr|I7DPJ2|I7DPJ2_PHAIB,\"D-lactate transporter, ATP-binding component\",\"Specific phenotype on D-lactate and D,L-lactate and cofit with other components\",putative high-affinity branched-chain amino acid transport ATP-binding protein,InterPro IPR001687:IPR003439:IPR003593 COGs COG0411,,MGILEVKNVGKRFGGLQALSDVNLSVRENTVHAIIGPNGAGKSTLLNCLVGKLIPDTGSVMFDGKSVLGRAPYEINQMGISRVFQTPEIFGDLSVLENMMIPCFAKRDGAFEMNAISAVSGQRDILEKAEHMLEEMNMADKRHMNAASMSRGDKRRLEIGMCLSQEPRLLLLDEPTAGMARADTNNTIDLLKQIKSERDITIAIIEHDMHVVFSLADRITVLAQGTPLVEDDPQNIKGNPKVREAYLGESA\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF1249,PGA1_c12650,PGA1_RS06300,WP_014874391.1,tr|I7EW25|I7EW25_PHAIB,\"D-lactate transporter, permease component 1\",\"Specific phenotype on D-lactate and D,L-lactate and cofit with other components\",putative high-affinity branched-chain amino acid transport system permease protein,Branched-chain amino acid transport system permease protein LivM (TC 3.A.1.4.1),,MFTLNKKDKTLLLVVAILTLFAPFILNPFPTGSALAQFNAGYPDLMQRFVIFGIFAIGFNILFGLTGYLSFGHAAFLGVGSYSAVWMFKLLSMNVVPAIVLSVIVAGLFALVIGYVSLRRSGIYFSILTLAFAQMSFNLAYSVLTPITNGETGLQLTLDDPRVLGVSATADGSIPVTSLFGLEMRSTFEMVVGPWAFQFNAGYYLCALILLAAFYLSIRIFRSPFGLMLKAVKSNQQRMNYTGLNTRPYTLAAFVISGMYAGLAGGLMASMDPLAGAERMQWTASGEVVLMTILGGAGTLIGPVLGAGFIKYFENIFSKINDNVLHSWFSFMPDGIEDAMVFIVHPFIGKGWHLTLGILFMLVVIFLPGGLVEGGQKLRGWIQGRKAKKDGPSGKTEPAE\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF1250,PGA1_c12660,PGA1_RS06305,WP_014874392.1,tr|I7EL66|I7EL66_PHAIB,\"D-lactate transporter, permease component 2\",\"Specific phenotype on D-lactate and D,L-lactate and cofit with other components\",putative high-affinity branched-chain amino acid transport system permease protein,Possible ABC transporter subunit,,MDAILLQILNGLDKGSAYALIALGLTLIFGTLGVVNFAHGALFMIGAFCAVTVQRVLSLSFETVDETQKDFLGNPLKVKTPYVESWFGPEVGGAIIDWAVPLAILFAIPIMIGVGYVMERGLIKHFYKRPHADQILVTFGLAIVLQEVVKYFYGANPIQTPAPDALNGVVNLGSIIGMDIVYPVWRVVYFFFAVVIIGGIFSFLQFTTFGMVVRAGMADRETVGLLGINIDRRFTIMFGIAAAVAGLAGVMYTPINSPNYHMGMDFLVLSFVVVVVGGMGSLPGAVLAGFLLGVLESFASMNEIKSLIPGIDQIIIYVVAIIILLTRPRGLMGRKGVMED\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF1251,PGA1_c12670,PGA1_RS06310,WP_014874393.1,tr|I7DZT5|I7DZT5_PHAIB,\"D-lactate transporter, substrate binding component\",\"Cofit with the other components and important for growth in various D-lactate and D,L-lactate media\",\"ABC-type branched-chain amino acid transport systems, periplasmic component\",\"Branched-chain amino acid ABC transporter, periplasmic substrate- binding protein\",,MSKTDVSRRGVLKTGAIAGAGVALPTIFTASSAAAFTNEPTGSTVTLGFNVPQTGPYADEGADELRAYQLAVEHLNGGGDGGMMNTFSSKALQGNGIMGKEVKFVTGDTQTKSDAARASAKSMIEKDGAVMITGGSSSGVAIAVQGLCQEAGVIFMAGLTHSNDTTGKDKKANGFRHFFNGYMSGAALAPVLKNLYGTDRNAYHLTADYTWGWTQEESIAAATEALGWNTVNKVRTPLAATDFSSYIAPVLNSGADVLVLNHYGGNMVNSLTNAVQFGLREKVVNGKNFEIVVPLYSRLMAKGAGANVKGIHGSTNWHWSLQDEGSQAFVRSFGSKYGFPPSQAAHTVYCQTLLYADAVERAGSFNPCAVVEALEGFEFDGLGNGKTLYRAEDHQCFKDVLVVRGKENPTSEFDLLEVVEVTPAEQVTYAPDHPMFAGGALGTCNSGA\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF1301,PGA1_c13170,PGA1_RS06560,WP_014879812.1,tr|I7ELB3|I7ELB3_PHAIB,Sorbitol dehydrogenase (EC 1.1.1.14),Specifically important for: D-Sorbitol. First step is sorbitol catabolism; (SEED_correct),sorbitol dehydrogenase PolS,Sorbitol dehydrogenase (EC 1.1.1.14),,MKRLSGKRALITGAARGIGAAFAEAYANEGARVVIADIDTARAEATAAQIGAAAIAVELDVTDQASIDRALSRTVECFGGLDILINNAAVFTAAPLVEVTREAYQRTFDINVSGTLFMMQAAAQQMITQGTGGKIINMASQAGRRGEPLVSVYCATKAAVISLTQSAGLNLISHGINVNAIAPGVVDGEHWDGVDAFFAKYEGKAPGQKKAEVAQSVPYGRMGTAADLTGMAVFLASEDADYVVAQTYNVDGGQWMS\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF1302,PGA1_c13180,PGA1_RS06565,WP_014879813.1,tr|I7DZW6|I7DZW6_PHAIB,\"ABC transporter for D-Sorbitol, ATPase component\",Specific phenotype on D-Sorbitol.,\"ABC transporter, ATP binding protein\",\"Various polyols ABC transporter, ATP-binding component\",sorbitol/mannitol transport system ATP-binding protein,MGQIKLESVTKNFGPVEVIPPLDLTIEDGEFTVFVGPSGCGKSTLLRLIAGLEDITSGTIRIDGEDATNIPPAKRGLAMVFQSYALYPHMSVRKNIAFPMKMAGIPADEQKRRIDNAAAALNLTDYLDRRPGQLSGGQRQRVAIGRAIVREPAAFLFDEPLSNLDAALRVGMRLEISELHKRLATTMIYVTHDQVEAMTMADKIVVLQAGVIEQVGSPMELYRAPRNVFVAGFIGSPKMNLLTGPQAAQHNAATIGIRPEHLSISETEGMWAGTIGVSEHLGSDTFFHVQCDAFDDPLTVRASGELDLGYGERVFLTPDMTHLHRFGSDGLRIE\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF1303,PGA1_c13190,PGA1_RS06570,WP_014874441.1,tr|I7EYP2|I7EYP2_PHAIB,\"ABC transporter for D-Sorbitol, permease component 1\",Specific phenotypes on D-Sorbitol; D-Sorbitol. Not important on mannitol.,ABC transporter permease protein,\"Various polyols ABC transporter, permease component 2\",sorbitol/mannitol transport system permease protein,MARAVTPRRKAINTALAWAVGLLIFFPILWTILTSFKTEAQAISDPPVFLFFDWTLENYSVVQERSDYMRFLWNSVIIAGGSTILGIIIAVPAAWSMAFVPSKRTKDILLWMLSTKMLPAVGVLYPIYILFIKMGLLDNRFGLVVVLMLINLPIIVWMLYTYFKEIPGEILEAARMDGATLKEEILYVLTPMAIPGIASTLLLNIILAWNEAFWTLNLTAAKAAPLTAFIASYSSPEGLFYAKLSAASTMAIAPILILGWFSQKQLVSGLTFGAVK\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF1304,PGA1_c13200,PGA1_RS06575,WP_014874442.1,tr|I7DPP3|I7DPP3_PHAIB,\"ABC transporter for D-Sorbitol, permease component 2\",Specific phenotypes on D-Sorbitol; D-Sorbitol. Not important on mannitol.,ABC transporter permease protein,\"Various polyols ABC transporter, permease component 1\",sorbitol/mannitol transport system permease protein,MATQHSRSAARIMMAPAVILLLGWMLVPLTMTLYFSFKKYLPLRGGDLGWVGFDNYARFLSSSAFWPSVQATLVIVGGVLAITVILGVFLALLLNQPMWGQGIVRILVIAPFFVMPTVSALVWKNMFMDPVNGLFAHLWKAFGAEPVSWLSEASLQSIILIVSWQWLPFATLILLTAIQSLDSEQLEAAEMDGAPPVARFGYITLPHLSRAITVVVLIQTIFLLSIFAEIFVTTQGSFGTKTLTYLIYQRVLESQNVGLGSAGGVYAIILANIVAIFLMRIVGKNLDA\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF1305,PGA1_c13210,PGA1_RS06580,WP_014879814.1,tr|I7EW74|I7EW74_PHAIB,\"ABC transporter for D-Sorbitol, periplasmic substrate-binding component\",Specific phenotype on D-Sorbitol.,extracellular solute-binding protein,\"Various polyols ABC transporter, periplasmic substrate-binding protein\",sorbitol/mannitol transport system substrate-binding protein,MYLKSALRAATALTVFASTAAFADTITIATVNNGDMIRMQGLTEDFTAKTGHEVEWVTLEENVLRQRVTTDISAKGGQFDIMTIGMYETPIWGKNGWLVPLNDLPADYDVDDILPAMRGGLSHDGTLFAAPFYGESSMIMYRTDLMEKAGLEMPAAPTWDFVADAARQMTDKDNETYGICLRGKAGWGENAAFITAMSNSFGARWFDENWAPQFDSEAWSNTLNFYINLLNDAGPPGASNNGFNENLSLFQQGKCGMWIDATVAASFVTNPNDSTVADKVGFALAPDTGLGKRSNWLWAWALAIPAGTQKEAAAKEFIQWATSKDYIELVAENEGWANVPPGARISLYENANYKDIPFAKMTLESILSADPNNPTVDPVPYVGIQFAAIPEFAGIATQVGQEFSAALAGQQTAEEALAKAQALTADEMEAAGY\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF1382,PGA1_c13990,PGA1_RS06965,WP_014879881.1,tr|I7EWE4|I7EWE4_PHAIB,Novel Xylose regulator from LacI family,# Specifically important in carbon source D-Xylose. Also see expression evidence (PMC4148808). (SEED_correct),\"putative transcriptional regulator, iacl family\",Novel Xylose regulator from LacI family,LacI family transcriptional regulator,MGKPTLHDVAAAAGVSYATADRVLNNRGGVAKKSQDRVRAAIADLGYQRDITAANLSRRRRYRFAVLMPAAQEGFFATLHADLEQEVAARSQARQQITLTQVPPFDAAALTCALEACAAEGYDGVCLVAVQDPSVDAALTGLRAQGVAVVTLVADSAAQARDTYVGIDNRRAGRTAGDLMRLAHRGSAASLGQILPITGSLNARDHADRYAGFCDVVSADLHILPPLETGDDPEILEQALRRTLRANPNITGIYNLGAGIPGLISALAAIQPDDRPVVISHELCPATRDAVAHGLIDAVIDQKPAQEITAALAALVALSDGQSVDPLAGQITPAVHFKHNMPPQSAVGPEEGA\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF1469,PGA1_c14880,PGA1_RS07390,WP_014879948.1,tr|I7E0E8|I7E0E8_PHAIB,2-hydroxy-3-oxopropionate reductase (EC 1.1.1.60),\"Specifically important for: L-Serine. probably important for serine utilization because L-serine  can be transaminated to 2-hydroxy-3-oxopropionate, which then needs to be dealt with somehow (SEED_correct)\",putative 3-hydroxyisobutyrate dehydrogenase,2-hydroxy-3-oxopropionate reductase (EC 1.1.1.60),3-hydroxyisobutyrate dehydrogenase,MAKVAFLGLGVMGYPMAGHLAAAGHEVTVYNRTAAKAEAWAKEHGGTAAATPREAAAGAEFVMACVGNDDDLRSVCLGDTGAFGGMGAGAIFVDHTTVSAKVTRELNAAAADLGLSFVDAPISGGQAGAENGVLSVMCGGDQAAYDKAEPVIGSYARICRRIGDSGAGQMTKMCNQIAIAGLVQGLSEALHFAEKAGLDGRAVVEVISQGAAGSWQMANRHETMLDDHFDHGFAVDWMRKDLGICLDAAEETGASLPVTALVDQFYKDVQKLGGGRWDTSSLFKRLKAFE\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF1616,PGA1_c16380,PGA1_RS08130,WP_014880051.1,tr|I7EX15|I7EX15_PHAIB,arginine deiminase (EC 3.5.3.6),Specifically important for: L-Citrulline. Citrulline is catabolized via arginine by this reaction in reverse; this is distantly related to characterized arginine deiminases (see PF02274),Uncharacterized protein conserved in bacteria containing a pentein-type domain,Amidinotransferase family protein,,MSQLQAPGAVVMIRPHHFCSNPETRDDNAFQTLADDTADVTSAQAQAEFDGAVTALRGAGVSVHVFDDTGTETPDSVFPNNWFSTHAGGHVAVYPMYAANRRKERRWDVIELLKRDYRVQDVIDYSGLEQDGLALEGTGAMVLDHIGRIAYTVKSNRADPVLLERFCTHFNFEPMVFEARDAQGRDVYHTNVLMGIGTDYALICLDMITDPTRRAEVAARLEETGRRVIDLTPEQIAGFAGNALELTGHSRLLALSSRAAEVLRADQITIIERSATLLPLSIPTIETAGGSVRCMLAAIHLSPRERTQS\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF1644,PGA1_c16670,PGA1_RS08270,WP_014880077.1,tr|I7E0Z4|I7E0Z4_PHAIB,D-mannose isomerase (EC 5.3.1.7),\"Specifically important for: D-Mannitol; D-Mannose. often annotated as N-acylglucosamine 2-epimerase, but the phenotypes confirm that it is mannose isomerase. (Mannitol is catabolized via mannose.)\",putative N-acylglucosamine 2-epimerase,N-acylglucosamine 2-epimerase (EC 5.1.3.8),,MSTHSAVGDLSAPGVWLEDTGHQAYLIADARRQLDFFAGSLRAEPGFHTLDAAGRPLPDDKQELHTTTRLVHSYALAHICGYAGAEQMIDHGMAYLNSHHRDQIHGGYLWALSGDAIADDRKLAYGHVFVLLAAASAKLAGHPGADALLSDVAEVLDQRFWETGPKRFADEWNRDWTPFSTYRGMNANMHGVEALLTAYEATGETVFLDRAGHILDFFVDEVAAAESWRLPEHYTETWQIDRTYAGDPMFRPAGTTPGHSFELGRLMLQHWDLAGRRDTGAPTRARSLIEQALADAWLVDGGFAYTLDFEGKVAMRNRFWWPVTEAIGAVATLVKLDGRVEDEQWYRRLWGFAQAHFIDEDRGGWYPEIDGNGQVTRTIFTGKPDIYHALQACLLPLGALPLGHVAGLKKLSAPLLS\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF2748,PGA1_c27910,PGA1_RS13875,WP_014880980.1,tr|I7EZT8|I7EZT8_PHAIB,N-acetylglucosamine kinase (EC 2.7.1.59),\"Specifically important for: D-Glucose; N-Acetyl-D-Glucosamine. This is the first step in NAG catabolism. The next step is expected to be N-acetylglucosamine-6-phosphate deacetylase (PGA1_c27880, no data). The phenotype on D-glucose is consistent across replicates and is not explained. It does not seem to be due to polar effects. There is a glucokinase that is important for glucose utilization (PGA1_c05420 ) so we don't expect that this is glucokinase. (SEED_correct)\",\"putative ATPase, BadF/BadG/BcrA/BcrD type\",N-acetylglucosamine kinase of eukaryotic type (EC 2.7.1.59),,MTDSRFPYLIAVDGGGTSCRFALLKSGATPPQQLVVTGGSANVYTAPDQAVETLSAGLADLQRQSGLTDEVFHQIPVYAGLAGVIDGESAARVAEALPQAHVRVEDDRMPAVVGALGEDTASLIGVGTGSFLGRQVAGQVTLIGGHGTVLGDEASGGWLGRRALQLTLQAAEGIEPMTPLLRSCLRDFSNETAKIVRFAQTARPVAFGAYAPRVAKAAVEGDAAGRRLMAEGAEYLCNGLQALGRRPEEPVYHIGGVAAQYAAYLPADVADYLRGAEGSPLDGALELARRFAREIAQEVV\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF2750,PGA1_c27930,PGA1_RS13885,WP_014880982.1,tr|I7E3W0|I7E3W0_PHAIB,\"N-Acetyl-D-glucosamine ABC transport system, periplasmic substrate-binding component\",Specific phenotype on N-Acetyl-D-Glucosamine.  (SEED_correct),\"putative sugar ABC transporter, periplasmic binding protein\",\"N-Acetyl-D-glucosamine ABC transport system, sugar-binding protein\",multiple sugar transport system substrate-binding protein,MTRKLFTLALLGSTMIGGAAAAEDVTLTIESWRNDDLALWQDKIIPAFEAANPGIKLKFTPSAPAEYNAVLNSKLDAGSAGDLITCRPFDASLGLYDKGQLADLSDLDAMGSFSNVAKSAWQTDDGSATFCVPIASVIHGFIYNKDAFAELGVNVPETEDEFFAALEKIKEDGNYVPLAMGTNDQWEAATMGYNNIGPNYWKGEEGRLALIAGEQKLTDDQWVAPYETLSKWGAYMGDGYEAQTYPDSQNIFTLGRAAIYPAGSWEISGFNTQADFAMGAFKPPVKAAGDTCYISDHTDIAVGLNAASPNAEAAKTFLNWVGSAEFASIYANALPGFFSLSNHEVAMEDPLAQEFVSWRGECESTIRSTYQILSRGTPNLENETWGASVAAIKGTKAPADLGAELQEGLASWYEPQK\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF2751,PGA1_c27940,PGA1_RS13890,WP_014875690.1,tr|I7F282|I7F282_PHAIB,\"N-Acetyl-D-glucosamine ABC transport system, permease component 1\",Specific phenotypes on N-Acetyl-D-Glucosamine. (SEED_correct),ABC transporter permease protein,\"N-Acetyl-D-glucosamine ABC transport system, permease protein 1\",multiple sugar transport system permease protein,MQNTPHKPRRRWHIAVFLAPAVLVYTAIMIFPLFNTLRLALYSESDQIRQFVGLANFETLFGNPNWSEQFWNALGNNFWFFFVHMLVQNPIGVALAAILSHPRLRFAALYRTAIFVPTILSFVIVGFAWKLILSPIWGITPDLLDAIGLKWLFAPWLGKEDYALTTLALISVWQFVGIPMMLIYAALLSIPEEVIEAGEVDGITGMSAFWKIKLPLILPSIGIISILTFVGNFNAFDLIYTTQGALAGPDFSTDILGTFMYRTFFGFQLQLGDPHMGSAIATAMFAIILIGVCIYLFGIQTRLRRYQF\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF2752,PGA1_c27950,PGA1_RS13895,WP_044040979.1,tr|I7DTQ0|I7DTQ0_PHAIB,\"N-Acetyl-D-glucosamine ABC transport system, permease component 2\",Specific phenotypes on N-Acetyl-D-Glucosamine. (SEED_correct),ABC transporter permease protein,\"N-Acetyl-D-glucosamine ABC transport system, permease protein 2\",multiple sugar transport system permease protein,MMHKSRSNPFNSILAHGALITYTLIALFPVFVILVNSFKTRKAIFRDPLGLPTSDTFSLVGYQTVLKQGDFFLYFQNSMIVTVVSLALVLLFGAMAAFALAEYRFKGNMLLGLYLALGIMIPIRIGTVAILELMVDTGLVNTLTALILVYTAQGLPLAVFILSEFMKQVSDDLKNAGRIDGLSEYTIFFRLVLPLVRPAMATVAVFNMIPIWNDLWFPLILAPAEETKTLTLGSQVFIGQFVTDWNAVLSALSMAILPVMVLYVIFSRQLIRGITSGAVK\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF2754,PGA1_c27970,PGA1_RS13905,WP_014880984.1,tr|I7EQ92|I7EQ92_PHAIB,\"N-Acetyl-D-glucosamine ABC transport system, ATPase component\",Specific phenotype on N-Acetyl-D-Glucosamine.  (SEED_correct),ATP-binding transport protein SmoK,N-Acetyl-D-glucosamine ABC transport system ATP-binding protein,sorbitol/mannitol transport system ATP-binding protein,MTALQLTNVCKSFGPVEVLKDINLTVEDGEFVVFVGPSGCGKSTLLRVISGLEDATAGEISIGGQTVTTTPPAKRGIAMVFQSYALYPHLSVRENMALALKQERQPKEEIAARVAEASRMLSLEDYLDRRPSELSGGQRQRVAIGRAVVREPKLFLFDEPLSNLDAALRMNTRLEIARLHRQLSASMIYVTHDQIEAMTLADKIVVLRDGRIEQVGTPMELYNNPANRFVAEFIGAPAMNFVPAQRLGGNPGQFIGIRPEYARISPVGPLAGEVIHVEKLGGDTNILVDMGEDLTFTARLFGQHDTNVGETLQFDFDPANCLSFDEAGQRI\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF2923,PGA1_c29700,PGA1_RS14755,WP_014881125.1,tr|I7DU71|I7DU71_PHAIB,\"D-lactate oxidase, iron-sulfur subunit (EC 1.1.3.15)\",\"Specifically important for: Sodium D,L-Lactate; Sodium D-Lactate. KEGG oddly has no EC #; SEED has it as 1.1.99.14 (glycolate dehydrogenase)\",glycolate oxidase iron-sulfur subunit,\"Glycolate dehydrogenase (EC 1.1.99.14), iron-sulfur subunit GlcF\",glycolate oxidase iron-sulfur subunit,MQTTFSEKQLRDPGTQRANEILRSCVHCGFCTATCPTYQVLGDELDSPRGRIYLIKDMLENERVPDAKTVKHIDRCLSCLACMTTCPSGVHYMHLVDHARAYIDKHYNRPWSDRALRWLLARILPYPGRFRLALIGAKLAQPFKRLVPDARLRAMLDMAPRHIPPVSRNDDPQSFAAKAPRRKRVALMTGCAQKALNTDINDATIRLLTRLGCEVVVAAGAGCCGALTHHMGREEESHATAAKNIRAWTDEIDGQGLDAIVINTSGCGTTVKDYGHMFRNDALAEDAARVSAIAMDISELLMQLDLPEGEDKETTVAYHAACSLQHGQQIKTHPKTLLKRAGFTVVEPADSHLCCGSAGTYNLLQPEISAELKARKVTSLEARQPDLIAAGNIGCMMQIGSATDIPILHTVELLDWATGGPKPRALVAGGPGADPRAGEIPILR\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF2924,PGA1_c29710,PGA1_RS14760,WP_014881126.1,tr|I7F093|I7F093_PHAIB,\"D-lactate oxidase, FAD binding subunit (EC 1.1.3.15)\",\"Specifically important for: Sodium D-Lactate; Sodium D,L-Lactate. KEGG oddly has no EC #; SEED has it as 1.1.99.14 (glycolate dehydrogenase)\",glycolate oxidase subunit GlcE,\"Glycolate dehydrogenase (EC 1.1.99.14), FAD-binding subunit GlcE\",glycolate oxidase FAD binding subunit,MTPQSEAELAQIIVGATAPLAVSGGGTRGLSTGGETLSVAGLNGVTLYEPGALTLVVQAGTSVEEVQALLAGENQRLAFEPMDHRGLLGTKGTPTIGGVFAANVSGPRRIQCGAARDFLLGVRFVDGRGDVLSNGGRVMKNVTGYDLVKLMAGSHGTLGVLSEVSLKVLPCSEACATVTVHVADLTSAVAAMSTALGSPYDVTGAAYDPEAGAVYIRVEGFEASVTYRAEALKMALGKFGEVSLALGAGDALWEGIRNVAAFHDRPGDVWRISVKPSDAVALAPALEAEGLLFDWGGGLIWALVPAGRDLRFRLTVPGHATLVRASAQTRAELGQFQPQPGPLAAISGGLRRQFDPRGILNPGLMG\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF2925,PGA1_c29720,PGA1_RS14765,WP_014881127.1,tr|I7EQM9|I7EQM9_PHAIB,\"D-lactate oxidase, FAD-linked subunit (EC 1.1.3.15)\",\"Specifically important for: Sodium D,L-Lactate; Sodium D-Lactate. KEGG has the correct EC # but describes it as glycolate oxidase; SEED has it as 1.1.99.14 (glycolate dehydrogenase)\",glycolate oxidase subunit GlcD,\"Glycolate dehydrogenase (EC 1.1.99.14), subunit GlcD\",glycolate oxidase,MEMPIPDQTVLSQKTELALRLAAVLPDDALVQDPAETRAYECDALTAYKCPPMLVVLPRTTKEVSDVLRICHAAGVPVVPRGAGTSLAGGALPTADCVILGVARMNAVLETDYDNRIIRVQTGRTNLSVSGAVEEEEFFYAPDPSSQLACAIAGNIAMNSGGAHCLKYGVTTNNLMGVTMVMMDGTVVEIGGAHLDAGGLDLLGVICGSEGQLGVVTEATLRILRKPEGARPVLIGYDSNEVAGACVSDIIKAGVLPVAIEFMDRPCIEACEAFAKAGYPMCEALLIVEVEGSDAEIDHQLRLITEIARSHNPVELREARDSDEAARIWLGRKSAFGAMGQINDYMCLDGTIPVTSLPHVLRRIGEMSKEFGLDVANVFHAGDGNMHPLILFDANKPGDLETCEAFGAEILKLCVEVGGCLTGEHGVGIEKRDLMLDQYGVADIEAQLRVKDVFDPKWLLNPAKVFPLSTTQSRRTPAVTPL\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF357,PGA1_c03680,PGA1_RS01815,WP_014879056.1,tr|I7ETR9|I7ETR9_PHAIB,(3S)-malyl-CoA thioesterase [EC:3.1.2.30],\"Specifically important for: L-Threonine; Potassium acetate. This is part of the ethylmalonyl-CoA cycle for acetate assimilation, and hence is important on threonine (cleaved to glycine and acetate via the PGA1_c34330 or kbl) and acetate (where it has a milder phenotype). The annotation of sit:TM1040_3520 has been updated to (3S)-malyl-CoA thioesterase [EC:3.1.2.30]. 69% similar to MCTE_RHOS4 (consistent with the KEGG annotation). SEED suggests that this is the malyl-CoA/methylmalyl-CoA lyase but that activity is probably provided by PGA1_c30490. (KEGG_correct)\",putative citrate lyase subunit beta,L-malyl-CoA/beta-methylmalyl-CoA lyase (EC 4.1.3.-),(3S)-malyl-CoA thioesterase,MDPRIRPYRSVLYIPGSKLRALEKARSLPVDAIIFDLEDAVSAEEKVNARQTLEEALRAGGYGARMKIVRINGLDTVWGRADAAAAARMDCDAILLPKVSSPEDLDALAVITGDKPLWAMMETPRGMLNAAAIAAHPLLQGMVMGTNDLAKELQTRFRPDRLPLMAGLGQCLLAAKAKGIIIVDGVYNAFKDAEGLEAECDQGRDMGFDGKTLIHPAQVDVANSAFAPSEDEIDLARRQIAAFDAAEAEGQGVAVVDGKIVENLHVATAREILAKADAIAAVSA\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF3639,PGA1_262p00430,PGA1_RS18345,WP_014881674.1,tr|I7F4G1|I7F4G1_PHAIB,\"glucose transporter, periplasmic substrate-binding component\",\"specific phenotype on glucose and cofit with other nearby components. This is similar (65% identity) to gxyS (Atu3576) of Agrobacterium tumefaciens, which is involved in the transport of glucose, glucosamine, and xylose (PMCID: PMC4135649). It is not clear if the Phaeobacter system transports xylose, as it is not required for utilizing xylose, but no other xylose transport system was identified either.\",D-xylose-binding periplasmic protein XylF,\"Xylose ABC transporter, periplasmic xylose-binding protein XylF\",D-xylose transport system substrate-binding protein,MKFLSGVSALAFAATASMAFAEDVTVGVSWSNFQEERWKTDEAAIKAALEAKGATYVSADAQSSSAKQLSDIESLIAQGVDALIVLAQDAQAIGPAVQAAADEGIPVVAYDRLIEDGRAFYLTFDNVEVGRMQARAVLEAQPSGNYVMIKGSPTDPNADFLRGGQQEIIQAAIDSGDIKIVGEAYTDGWLPANAQRNMEQILTANDNKVDAVVASNDGTAGGVVAALTAQGMEGIAVSGQDGDHAALNRVAKGTQTVSVWKDARDLGKAAANIAVEMAEGAVMGDVAGGAAWTSPAGTELTARFLEPIPVTADNLSVVVDAGWITKEALCQGVTNGPAPCN\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF3640,PGA1_262p00440,PGA1_RS18350,WP_014881675.1,tr|I7DWB0|I7DWB0_PHAIB,\"glucose transporter, permease component\",\"specific phenotype on glucose and cofit with nearby xylF (PGA1_262p00430) and xylG (PGA1_262p00450). This is similar to the gxyB (Atu3575) of Agrobacterium tumefaciens, which is involved in the transport of glucose, glucosamine, and xylose (PMCID: PMC4135649). It is not clear if the Phaeobacter system transports xylose, as it is not required for utilizing xylose, but no other xylose transport system was identified either.\",xylose transport system permease protein XylH,\"Xylose ABC transporter, permease protein XylH\",D-xylose transport system permease protein,MTETTSQPIPEHSKRGLFQQLELDVRLLGMIGAFVILCIGFNILTDGRFLTPRNIFNLTIQTVSVAIMATGMVFVIVTRHIDLSVGALLATCSAVMAVVQTDVLPDMFGLGLNHPATWIITVAVGLAIGTLIGAFQGWMVGFLTIPAFIVTLGGFLVWRNVAWYLTDGQTIGPLDSTFLVFGGTSGTLGTTLSWVVGIVATLLALAALWNSRRAKQGHGFPVKPAWAEAVIAGSIAASILGFVAILNAYQIPARRLKRMMEAQGETMPEGLVVGYGLPISVLILIATAVVMTIIARRTRLGRYIFATGGNPDAAELSGINTRLLTVKIFALMGFLCALSAVVASARLANHSNDIGTLDELRVIAAAVIGGTALSGGFGTIYGAILGALIMQSLQSGMAMVGVDAPFQNIVVGTVLVAAVWIDILYRKRVGARI\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF3641,PGA1_262p00450,PGA1_RS18355,WP_014881676.1,tr|I7F276|I7F276_PHAIB,\"glucose transporter, ATPase component\",\"Important for utilizing glucose and cofit with the other components. This is similar (68% identity) to gxyA (Atu3574) of Agrobacterium tumefaciens, which is involved in the transport of glucose, glucosamine, and xylose (PMCID: PMC4135649). It is not clear if the Phaeobacter system transports xylose, as it is not required for utilizing xylose, but no other xylose transport system was identified either.\",\"sugar ABC transporter, ATP-binding protein\",D-xylose transport ATP-binding protein XylG,D-xylose transport system ATP-binding protein,MSTAKELRAAGATPLVEMKDISISFGGIKAVDHVSVDLYPGEVVGLLGHNGAGKSTLIKVLSGAYQMDAGEIRVNGDKVEITNPRDARSHNIETIYQTLALADNLDAASNLFLGRELVTPFGLVDDSAMEAECRKIMNRLNPNFQKFSEPVSALSGGQRQSVAIARAVYFNAKILIMDEPTAALGPHETQMVAELIQQLKAQGIGIFLIDHDVNAVMELCDRASVMKNGQLVGTVDIDDVTDDDLLSMIILGKRPGEAAA\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF707,PGA1_c07220,PGA1_RS03580,WP_014879336.1,tr|I7EX64|I7EX64_PHAIB,5-keto-2-deoxy-D-gluconate-6 phosphate aldolase (EC 4.1.2.29),Specifically important for: m-Inositol. Part of inositol catabolism via 5-deoxyglucuronate (SEED_correct),putative 6-phospho-5-dehydro-2-deoxy-D-gluconate aldolase,5-keto-2-deoxy-D-gluconate-6 phosphate aldolase (EC 4.1.2.29),\"fructose-bisphosphate aldolase, class II\",MTIATLAEVLQPALRDGYAVAGLVTLGWEDMRAYVAAAEAEGVPVILQAGPSCRVHTPLPILGKMFRHLAEGASVPVVAHLDHGYTAEDCRIAIDSGFTSVMFDGSRNALDDNIAETAAIAGMAHAAGVSCEGEIGFVGYSGGEGSAGTDPEEARRFAQETGVDAMAISVGNVHLQQDKEGGLDIDRIRAIEAITEVPLVIHGGSGVPVAQRRMLARESRICKFNIGTELRMVFGAAMRDAVNSDPDRFDRVSILSETHDPVVAAARSVLRAFKGETQC\r\ncatabolism,Phaeobacter inhibens BS107,Phaeo,GFF711,PGA1_c07260,PGA1_RS03600,WP_014879339.1,tr|I7DYC7|I7DYC7_PHAIB,Myo-inositol 2-dehydrogenase (EC 1.1.1.18),Specifically important for: m-Inositol. The first step in inositol catabolism (SEED_correct),putative inositol 2-dehydrogenase,Myo-inositol 2-dehydrogenase (EC 1.1.1.18),,MVCGRVDLILRDVESQDTSFATGCKLNLMVWEARMTEIGIGILGGGYMGKAHAVAMAAVGAVFDTALRPRLEMVCATSPVSAERYRKAYGFQRATDDWQVLVNDPKVEAIVIASPQQTHRVVAEAAFALGKPVFCEKPLGASLADSRAMVAAAQSSGCPNMVGFNYIRTPASQYARQLIADGLIGEVTWFRGEHTEDFYADPDAPATWRTEGEANGTMGDLAPHMINGAMALIGPIAELIAEVETVHTDRPGGRVTNDDQGQLMCRFANGAMGQMFFSRIATGRKMGYAYEITGTKGAIRFDQEDQNALWLYLSEGDEATRGFRKILTGPAHPDYLPFCQGPGHGTGYQDQILIEARDFLRAIETQTPVWPTFEDGMAVNQVIAAAMAASEARSWQTVSTF\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF715,PGA1_c07300,PGA1_RS03620,WP_014873819.1,tr|I7EJU1|I7EJU1_PHAIB,Inositol transport system sugar-binding protein,Specific phenotype on inositol and cofit with other nearby components (SEED_correct),\"ABC-type sugar transport system, periplasmic component\",Inositol transport system sugar-binding protein,simple sugar transport system substrate-binding protein,MTSIFKTFMLATTVAAAPMMLATTASAEGEKYILVSHAPDSDSWWNTIKNGIALAGEQMNVEVEYRNPPTGDLADMARIIEQAAASGPNGIITTLSDYDVLSGPIKAAVDSGVDVIIMNSGTPDQAREVGALMYVGQPEYDAGHAAGMRAKADGVGSFLCVNHYISSPSSTERCQGFADGLGVDLGDQMIDSGQDPAEIKNRVLAYLNTNPETDAILTLGPTSADPTLLALDENGMAGDIYFGTFDLGEEIVKGLKSGVINWGIDQQPFLQAYLPVVVLTNYHRYGVLPGNNINSGPGFVTKDGLEKVEEFAGEYR\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF716,PGA1_c07310,PGA1_RS03625,WP_014873820.1,tr|I7DYD2|I7DYD2_PHAIB,Inositol transport system permease protein,Specific phenotype on inositol and cofit with other nearby components (SEED_correct),binding protein dependent transport system permease,Inositol transport system permease protein,simple sugar transport system permease protein,MSDAPTQFAEDERIKTRSKFREAMIRPELGGIIGTITVFAMFLIFAGDSGMFNSQGVMNWSQISAQFMIIAVGACLLMIAGEFDLSVGSMIGFAGMLIAIFSVTLGWPVWLAILVTFAIATAIGALNGFIVVRTGLPSFIVTLAFLFILRGFAIYLPQTIERKTIIGGVADAAEGDWLAALFGGKILTGLFQWFGDNGWIAVFERGTRKGQPVVEGLPMLIVWAILLVIIGHVILTKTRFGNWIFAAGGDAEAARNSGVPVNRVKILMFMFTAFCATVFATCQVMEFGGAGSDRGLLKEFEAIIAVVIGGALLTGGYGSVLGAALGALIFGVVQQGLFFAGVESSLFRVFLGLILLFAVILNTYIRRVITGER\r\ntransporters,Phaeobacter inhibens BS107,Phaeo,GFF717,PGA1_c07320,PGA1_RS03630,WP_014873821.1,tr|I7EX72|I7EX72_PHAIB,Inositol transport system ATP-binding protein,Specific phenotype on inositol and cofit with other nearby components (SEED_correct),\"sugar ABC transporter, ATP-binding protein\",Inositol transport system ATP-binding protein,simple sugar transport system ATP-binding protein,MSMSQPLIRMQGIEKHFGSVIALAGVSVDVFPGECHCLLGDNGAGKSTFIKTMSGVHKPTKGDILFEGQPLHFADPRDAIAAGIATVHQHLAMIPLMSVSRNFFMGNEPIRKIGPLKLFDHDYANRITMEEMRKMGINLRGPDQAVGTLSGGERQTVAIARAVHFGAKVLILDEPTSALGVRQTANVLATIDKVRKQGVAVVFITHNVRHALAVGDRFTVLNRGKTLGTAQRGDISAEELQDMMAGGQELATLEGSLGGTV\r\ncatabolism,Dechlorosoma suillum PS,PS,Dsui_0512,Dsui_0512,DSUI_RS02475,WP_014235627.1,tr|G8QFB6|G8QFB6_DECSP,Methylmalonyl-CoA epimerase (EC 5.1.99.1),Important on proprionate; this makes sense because of the utilization of the (S)-methylmalonyl-CoA formed by propionyl-CoA carboxylase (SEED_correct),hypothetical protein,Methylmalonyl-CoA epimerase (EC 5.1.99.1),lactoylglutathione lyase,MSQRPFKVLGIQQIAIGGPSKDKLKTLWVDMLGLEVTGNFVSERENVDEDICAMGKGPFKVEVDLMQPLDPEKKPAVHTTPLNHVGLWIDDLPKAVEWLTANGVRFAPGGIRKGAAGFDICFLHPKGNEESPIGGEGVLIELVQAPAEVVDAFAKLAG\r\ncatabolism,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_1109,,A1D17_RS10255,WP_063341556.1,tr|A0A166N099|A0A166N099_PSEFL,2-ketoglutaric semialdehyde dehydrogenase (EC 1.2.1.26),Specifically important for: D-Galacturonic Acid monohydrate. ketoglutarate semialdehyde is an intermedate in the oxidation of galacturonate (SEED_correct),2-ketoglutaric semialdehyde dehydrogenase (EC 1.2.1.26),2-ketoglutaric semialdehyde dehydrogenase (EC 1.2.1.26),aldehyde dehydrogenase (NAD+),VADAKRYDNYINGEWVSGADYSANINPSELTDTIGDYAKADLAQVHAAIDAARAAFPAWSTSGIQARHDSLDKVGTEILARREELGTLLAREEGKTLPEAIGEVTRAGNIFKFFAGECLRLSGDYLPSVRPGVNVEVTREALGVVGLITPWNFPIAIPAWKIAPALAYGNCVVLKPADLVPGCAWALAEIISRAGFPAGVFNLVMGSGRVVGDALVQSPKVDGISFTGSVGVGRQIAVSCVSRQAKVQLEMGGKNPQIILDDADLKQAVELSVQSAFYSTGQRCTASSRFIVTAGIHDKFVEAMAERMKSIKVGHALKTGTDIGPVVSQAQLEQDLKYIDIGQSEGARLVSGGGLVACDTEGYFLAPTLFADSTAAMRISREEIFGPVANIVRVADYEAALAMANDTEFGLSAGIATTSLKYANHFKRHSQAGMVMVNLPTAGVDYHVPFGGRKGSSYGSREQGRYAQEFYTVVKTSYIGS\r\ncatabolism,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_2254,,A1D17_RS15975,WP_007897683.1,tr|A0A166NMU2|A0A166NMU2_PSEFL,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),\"Specifically important for: Putrescine Dihydrochloride. This is the first step in putrescine catabolism. Some close homologs are annotated as this by SEED, so not sure why it was missed. Also, another gene is annotated as this activity (Pf1N1B4_4354) but has no phenotype.\",Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),,glutamine synthetase,MNGVVRGKRIERTSLHKVYEKGINLPASLFALDINGSTVESTGLGLDIGDADRICYPIPDTLCNEPWQKRPTAQLLMTMHELEGDPFFADPREVLRQVVAKFDEMGLTICAAFELEFYLIDQENVNGRPQPPRSPISGKRPHSTQVYLIDDLDEYVDCLQDILEGAKEQGIPADAIVKESAPAQFEVNLHHVADPIKACDYAVLLKRLIKNIAYDHEMDTTFMAKPYPGQAGNGLHVHISILDKDGKNIFASEDPEQNAALRHAIGGVLETLPAQMAFLCPNVNSYRRFGAQFYVPNSPCWGLDNRTVAIRVPTGSSDAVRIEHRVAGADANPYLLMASVLAGVHHGLTNKIEPGAPVEGNSYEQNEQSLPNNLRDALRELDDSEVMAKYIDPKYIDIFVACKESELEEFEHSISDLEYNWYLHTV\r\ntransporters,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_3431,,A1D17_RS21835,WP_063342827.1,tr|A0A166PAW1|A0A166PAW1_PSEFL,\"ABC transporter for L-Arginine and L-Citrulline, periplasmic substrate-binding component\",Specific phenotype on L-Arginine; L-Citrulline.,\"Arginine/ornithine ABC transporter, periplasmic arginine/ornithine binding protein\",\"Arginine/ornithine ABC transporter, periplasmic arginine/ornithine binding protein\",,MKKLVLLGALALSVLSLPTFADEKPLKIGIEAAYPPFASKAPDGSIVGFDYDIGNALCEEMKVKCVWVEQEFDGLIPALKVRKIDAILSSMSITEDRKKSVDFTNKYYNTPARLVMKAGTAVSENLAELKGKNIGVQRGSIHERFAREVLAPLGAEIKPYGSQNEIYLDVAAGRLDGTVADATLLDDGFLKTDAGKGFAFVGPAFTDVKYFGDGVGIAVRKGDALKDKINTAIAAIRENGKYKQIQDKYFAFDIYGK\r\ntransporters,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_3432,,A1D17_RS21840,WP_063342828.1,tr|A0A162AX92|A0A162AX92_PSEFL,\"ABC transporter for L-Arginine and L-Citrulline, permease component 1\",Specific phenotypes on L-Arginine; L-Citrulline.,\"Arginine/ornithine ABC transporter, permease protein AotQ\",\"Arginine/ornithine ABC transporter, permease protein AotQ\",arginine/ornithine transport system permease protein,MLKGYGAVILDGVWLTLQLALSSMVLAIVLGLIGVALRLSPIRWLAWLGDLYSTVIRGIPDLVLILLIFYGGQDLLNRVAPMFGYDDYIDLNPLAAGIGTLGFIFGAYLSETFRGAFMAIPKGQAEAGMAYGMSSFQVFFRVLVPQMIRLAIPGFTNNWLVLTKATALISVVGLQDMMFKAKQAADATREPFTFFLAVAAMYLVITSVSLLALRHLEKRYSVGVRAADL\r\ntransporters,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_3433,,A1D17_RS21845,WP_063342829.1,tr|A0A161Z5M0|A0A161Z5M0_PSEFL,\"ABC transporter for L-Arginine and L-Citrulline, permease component 2\",Specific phenotypes on L-Arginine; L-Citrulline.,\"Arginine/ornithine ABC transporter, permease protein AotM\",\"Arginine/ornithine ABC transporter, permease protein AotM\",arginine/ornithine transport system permease protein,MIFDYNVIWEALPLYLGGLVTTLKLLALSLFFGLLAALPLGLMRVSKQPVVNMSAWLFTYVIRGTPMLVQLFLIYYGLAQFEAVRESFLWPWLSSATFCACLAFAINTSAYTAEIIAGSLRATPNGEIEAAKAMGMSRIKMYKRILLPSALRRALPQYSNEVIMMLQTTSLASIVTLIDITGAARTVNAQFYLPFEAYITAGVFYLCLTFILVRLFKMAEHRWLGYLAPRKH\r\ntransporters,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_3435,,A1D17_RS21855,WP_007904680.1,tr|A0A166PAY4|A0A166PAY4_PSEFL,\"ABC transporter for L-Arginine and L-Citrulline, ATPase component\",Very important for utilization of L-Arginine or L-Citrulline. Detrimental to fitness in some other minimal media experiments.,\"Arginine/ornithine ABC transporter, ATP-binding protein AotP\",\"Arginine/ornithine ABC transporter, ATP-binding protein AotP\",,MYKLEVQDLHKRYGSHEVLKGVSLKAAAGDVISIIGSSGSGKSTFLRCINLLEQPHAGKILLNNEELKLVANKDGALKAADPKQLQRMRSRLSMVFQHFNLWSHMTAMENIMEAPVHVLGMSKTEAREKAEHYLNKVGVAHRKDAYPGHMSGGEQQRVAIARALAMEPEVMLFDEPTSALDPELVGDVLKVMQALAQEGRTMVVVTHEMGFAREVSNQLVFLHKGVVEESGNPREVLVNPQSERLQQFLSGSLK\r\ncatabolism,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_412,,A1D17_RS06770,WP_063341172.1,tr|A0A166MLN9|A0A166MLN9_PSEFL,L-arabinose 1-dehydrogenase / D-galactose 1-dehydrogenase (EC 1.1.1.46; EC 1.1.1.48),\"Both of these sugars are catabolized via a 1-dehydrogenase followed by lactonase and dehydratase reactions. This is the only dehydrogenase is specifically important for either of these carbon sources in several Pseudomonas, apart from a alpha-ketoglutarate semialdehyde dehydrogenase that is expected to be the last dedicated step in L-arabinose catabolism (i.e., Pf6N2E2_612). L-arabinose and D-galactose are chemically similar and some dehydrogenases are already known to act on both substrates.\",3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100),3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100),,MAEPLSLPPVPEPPKGERLKNKVVLLTGAAQGIGEAIVATFASQQARLVISDIQGEKVEKVAAHWREQGADVVAIKADVSRQQDLHAMARLAIELHGRIDVLVNCAGVNVFRDPLQMTEEDWHRCFAIDLDGAWYGCKAVLPQMIEQGIGSIINIASTHSTHIIPGCFPYPVAKHGLLGLTRALGIEYAPKGIRVNAIAPGYIETQLNVDYWNGFADPHAERQRAFDLHPPRRIGQPIEVAMTAVFLASDEAPFINASCITIDGGRSVMYHD\r\ncatabolism,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_4511,,A1D17_RS27145,WP_063343423.1,tr|A0A166Q345|A0A166Q345_PSEFL,D-galacturonate dehydrogenase (EC 1.1.1.203),Important on D-galacturonate; KEGG now has pfo:Pfl01_3452 as uronate dehydrogenase which is correct but less specific (KEGG_correct),UDP-glucose 4-epimerase (EC 5.1.3.2),UDP-glucose 4-epimerase (EC 5.1.3.2),,MTNTSPFNRLLLTGAAGGLGKVLRERLRPYANVLRLSDIANMAPAIDDREEVVPCDLADKQAVHQLVEGVDAILHFGGVSVERPFEEILGANICGVFHIYEAARRHGVKRVIFASSNHVIGFYKQDKTLDAHSPRRPDSYYGLSKSYGEDMASFYFDRYGIETVSIRIGSSFPEPQNRRMMSTWLSFDDMTQLLERALYTPNVGHTVVYGMSANKSVWWDNRFAAHLGFAPQDTSEVFREKVEAQPMPAEDDPARVYQGGAFVAAGPFGD\r\ncatabolism,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_4623,,A1D17_RS27665,WP_063343491.1,tr|A0A161Z7Y9|A0A161Z7Y9_PSEFL,2-dehydro-3-deoxy-L-arabinonate dehydratase (EC 4.2.1.43),\"# Specifically important in carbon source L-Arabinose. Similar to PA2216 from Pseudomonas aeruginosa (see PMC:PMC4038344) and to gguC or araD1 (Atu2345) from Agrobacterium tumefaciens (see PMC: PMC3232879), which also have this activity. In Agrobacterium, this reaction is proposed to be a step in L-arabinose oxidation. (Note that 2-keto-3-deoxy-L-lyxonate and 2-keto-3-deoxy-L-arabinonate are the same compound.)\",SUGAR TRANSPORTER,SUGAR TRANSPORTER,,MRLVQFELSHGERRVGVVEDGLVREVRDARSVRDLALAAIEAGVNLEQQVQTLGLGISHDYSALLANLQILPPLDHPDPAHMLVSGTGLTHLGSASARDKMHQQAGDETAMTDTMRIFKWGVEGGKPATGQVGVQPEWFYKGDGSIVVRPGKPFPLPPFAEDAGEEPELSGLYVIGHDGKPYRLGFAVGNEFSDHVMERKNYLYLAHSKLRSCSYGPELRVGELPQHLAGTSRILRDGEVLWQNEFLSGEANMCHSLENLEYHHFKYSQFLRPGDVHIHFFGTATLSFADGIRTQPGDVFEISQAEFGAPLINGIEPVEAAFEPGTVGTL\r\ncatabolism,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_597,,A1D17_RS07755,WP_063341295.1,tr|A0A161YYW9|A0A161YYW9_PSEFL,Isomerase for D-mannose and D-mannitol catabolism (probably D-mannose-6-phosphate or D-mannose isomerase),\"Specifically important for: D-Mannitol; D-Mannose. Often annotated as N-acylglucosamine 2-epimerase, but some homologs are annotated as D-mannose isomerase or D-mannose-6-phosphate isomerase, which would fit its phenotypes. (Mannitol is probably converted to mannose or mannose-6-phosphate.) The organism has a fructokinase (Pf1N1B4_4844, no data) which probably utilizes the resulting fructose if this is D-mannose isomerase. However data for close homologs suggests a phosphorylated substrate instead, so the substrate is uncertain.\",N-acylglucosamine 2-epimerase (EC 5.1.3.8),N-acylglucosamine 2-epimerase (EC 5.1.3.8),,MDTFQPAFSSWLNAPAHQQWLAAEGLRLLAFAKAAKLAEGFGNLDEKGRLAANAQAETMNTARMTHSFAMAHIQGLPGFAELVDHGIQALSGPLRDAEHGGWFATPEHRDGNTGKAAYLHAFVALAASSAVVAQRPGAQALLDDAIHIIDSHFWSEEEGAMRESFNRDWSVEEAYRGANSNMHATEAFLALADVTEDNRWLIRAQRIVERVIHDHAAVNDYLVVEHFDRDWQPLRDYNYDNPADGFRPYGTTPGHGFEWARLLLHLEAARVQAGILTPGWLATDAQKLFDHNCRHGWDVDGAPGIVYTLDWDNRAVVRHRLHWTHAEASAAASALLKRTGDEQYERWYRLFWEFCDSHFIDRCDGSWHHELDPLNRPSADIWAGKPDLYHAWQAVLIPRLPLAPSMAIALAQLSQSVAV\r\ncatabolism,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_6029,,A1D17_RS02225,WP_063340417.1,tr|A0A166R3Y5|A0A166R3Y5_PSEFL,uridine nucleosidase (EC 3.2.2.3),Important on uridine; annotated by SEED as for uridine and inosine; close homologs are important for utilizing uridine (SEED_correct),Inosine-uridine preferring nucleoside hydrolase (EC 3.2.2.1),Inosine-uridine preferring nucleoside hydrolase (EC 3.2.2.1),,MQRYAQKLHHLLRSLLLLSLITATSAQAAEKIDLIIDTDPGADDVVALLFALASPDELNIRALTTVAGNVRLDKTSRNARLAREWAGREEVPVYAGAPKPMMRTPIYAENIHGKEGLSGVTVHEPKKGLAEGNAVNYLIDTLKTAKPHSITIAMLGPQTNLALALIQEPEIVQGIKEVVIMGGAHFNGGNITPVAEFNLFADPQAAEVVLKSGVKLTYLPLDVTHKILTSEARLKQIAALNNNASKLVGDILNEYVKGDMEHYGIPGGPVHDATVIAYLLKPELFTGRSVNVVVDSREGPTFGQTIVDWYDGLKAPKNAFWVESGDAQGFFDLLTQRLSRLK\r\ntransporters,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_771,,A1D17_RS08645,WP_063341404.1,tr|A0A162BIP5|A0A162BIP5_PSEFL,\"ABC transporter for L-asparagine and L-glutamate, periplasmic substrate-binding component\",# Specifically important in carbon source L-Asparagine. Also important for glutamate utilization.,Glutamate Aspartate periplasmic binding protein precursor GltI (TC 3.A.1.3.4),Glutamate Aspartate periplasmic binding protein precursor GltI (TC 3.A.1.3.4),glutamate/aspartate transport system substrate-binding protein,MRIVPHILGAAIAAALISTPVFAAELTGTLKKIKESGTITLGHRDASIPFSYIADASGKPVGYSHDIQLKIVEAIKKDLDMPNLQVKYNLVTSQTRIPLVQNGTVDVECGSTTNNVERQQQVDFSVGIFEIGTKLLSKKDSAYKDFADLKGKNVVTTAGTTSERILKSMNADKQMGMNVISAKDHGESFQMLETGRAVAFMMDDALLAGEMAKAKKPTDWAVTGTAQSNEIYGCMVRKGDAPFKKAVDDAIIATYKSGEINKIYEKWFMQPIPPKGLNLMFPMSEELKALIANPTDKAADEKKS\r\ntransporters,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_772,,A1D17_RS08650,WP_008069477.1,tr|A0A166MU26|A0A166MU26_PSEFL,\"ABC transporter for L-asparagine and L-glutamate, permease component 1\",\"# Specifically important in carbon source L-Asparagine. Also important for glutamate utilization. We do not have fitness data for aspartate utilization - it may well transport aspartate as well. Also note that the aspariganase (Pf1N1B4_2023) is predicted to be cytoplasmic and is important for asparagine utilization, so we do not think that asparagine is converted to aspartate before uptake.\",Glutamate Aspartate transport system permease protein GltJ (TC 3.A.1.3.4),Glutamate Aspartate transport system permease protein GltJ (TC 3.A.1.3.4),glutamate/aspartate transport system permease protein,MNYNWDWGVFFKSTGVGSEIYFDWYLSGLGWTIAIAVAAWIIALLLGSILGVMRTVPNRIVSGIATCYVELFRNVPLLVQLFIWYFLVPDLLPADIQEWYKQDLNPTTSAFLSVVVCLGLFTTARVCEQVRTGIQALPRGQEAAARAMGFKLPQIYWNVLLPQAYRIIIPPLTSEFLNVFKNSSVASLIGLMELLAQTKQTAEFSANLFEAFTLATLIYFTLNMSLMLLMRSVEKKVAVPGLISVGGK\r\ntransporters,Pseudomonas fluorescens FW300-N1B4,pseudo1_N1B4,Pf1N1B4_773,,A1D17_RS08655,WP_063341405.1,tr|A0A166MU41|A0A166MU41_PSEFL,\"ABC transporter for L-asparagine and L-glutamate, permease subunit 2\",# Important for glutamate and asparagine utilization and cofit with other components,Glutamate Aspartate transport system permease protein GltK (TC 3.A.1.3.4),Glutamate Aspartate transport system permease protein GltK (TC 3.A.1.3.4),glutamate/aspartate transport system permease protein,MEFDFSGIIPSLPGLWNGMIMTLKLMALGVIGGIILGTILALMRLSHNKLLSNIAGAYVNYFRSIPLLLVITWFYLAVPFVLRWITGEDTPIGAFASCIVAFMMFEAAYFCEIVRAGVQSIPKGQMGAAQALGMEYGQMMRLIILPQAFRKMTPLLLQQSIILFQDTSLVYAVGLVDFLNASRASGDIIGRSNEFLIFAGLTYFTISFAASLLVKRLQKRFAV\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_1894,,AO361_RS09435,WP_057713549.1,,\"ABC transporter for D-Galactose and D-Glucose, periplasmic substrate-binding component\",Specific phenotype on D-Fructose; L-Aspartic Acid; D-Galactose; L-Lysine. The nitrogen source phenotypes for aspartate and lysine are with glucose as the carbon source. May also transport fructose.,\"Glucose ABC transport system, periplasmic sugar-binding protein\",\"Glucose ABC transport system, periplasmic sugar-binding protein\",multiple sugar transport system substrate-binding protein,MNAISRLATVISLASLSALPLSVLAAESKGSVEVVHWWTSGGEKAAVDVLKAQVEKDGFTWKDGAVAGGGGSTAMTVLKSRAVAGNPPGVAQIKGPDIQEWGSTGLLSTDALKDVSKAENWDGLLSKKVSDTVKYEGDYVAVPVNIHRVNWLWINPEVFKKAGIEKAPTTLEEFYAAGDKLKAAGFIALAHGGQPWQDSTVFEDVVLSVMGADGYKKALVDLDQKTLSGPEMTKSFAELKKITGYMDPNRAGRDWNIAAADVISGKAGMQMMGDWAKSEWTAAKKIAGKDYQCVAFPGTEKAFTYNIDSMAVFKLKADRKGDIAAQQDLAKVALGTDFQKVFSMNKGSIPVRNDMLNEMDKLGFDECAQKSAKDFIADDKTGGLQPSMAHNMATSLAVQGAIFDVVTNFMNDKDADPAKASAQLASAVKAAQ\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_1895,,AO361_RS09440,WP_057713550.1,,\"ABC transporter for D-Galactose and D-Glucose, permease component 1\",Specific phenotypes on D-Galactose; N L-Lysine. glucose is the C source for the N source experiments with a phenotype (i.e. lysine); may also transport fructose.,\"Glucose ABC transport system, inner membrane component 1\",\"Glucose ABC transport system, inner membrane component 1\",multiple sugar transport system permease protein,MSSVAVFSKASPFDALQRWLPKLVLAPSMLIVLVGFYGYIIWTFILSFTNSSFMPSYKWVGLQQYMRLMDNDRWWVASKNLALFGGMFISISLVLGVFLAVLLDQRIRKEGFIRTVYLYPMALSMIVTGTAWKWLLNPGLGLDKMLRDWGWEGFRLDWLVDQDRVVYCLVIAAVWQASGFVMAMFLAGLRGVDQSIIRAAQVDGASLPTIYLKIVLPSLRPVFFSAFMILAHIAIKSFDLVAAMTAGGPGYSSDLPAMFMYSFTFSRGQMGIGSASAMLMLGAVLTILVPYLYSELRGKRHD\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_1896,,AO361_RS09445,WP_007974434.1,,\"ABC transporter for D-Galactose and D-Glucose, permease component 2\",Specific phenotypes on D-Galactose; N L-Lysine. glucose is the C source for the N source experiments with a phenotype (i.e. lysine); may also transport fructose.,\"Glucose ABC transport system, inner membrane component 2\",\"Glucose ABC transport system, inner membrane component 2\",multiple sugar transport system permease protein,MTNQLGKSGISFSRIAIYATLLLAAAVYLIPLVVMLLTSFKSPEDIRTGNLLSWPTVIDGIGWIKAWDVVGGYFWNSVKITVPAVLISTFIGAMNGYVLSMWRFRGSQLFFGLLLFGCFLPFQTVLLPASFTLGKFGLANTTTGLVLVHVVYGLAFTTLFFRNYYVSIPDALVKAARLDGAGFFTIFLKILLPMSIPIVMVCLIWQFTQIWNDFLFGVVFASGDAQPITVALNNLVNTSTGAKEYNVDMAAAMIAGLPTLLVYIFAGKYFLRGLTSGAVKG\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_1897,,AO361_RS09450,WP_057713551.1,,\"ABC transporter for D-Galactose and D-Glucose, ATPase component\",Specific phenotype on D-Galactose; L-Lysine; L-Aspartic Acid. The nitrogen source phenotypes for aspartate and lysine are with glucose as the carbon source. May also transport fructose.,\"Glucose ABC transporter, ATP-binding subunit (EC 3.6.3.-)\",\"Glucose ABC transporter, ATP-binding subunit (EC 3.6.3.-)\",multiple sugar transport system ATP-binding protein,MATLELRNVNKTYGPGLPDTLKNIELKIDDGEFLILVGPSGCGKSTLMNCIAGLETISGGAILVDDADISGMSPKDRDIAMVFQSYALYPTMSVRDNIAFGLKIRKMPTAEIDEEVARVSKLLQIEHLLSRKPGQLSGGQQQRVAMGRALARRPKIYLFDEPLSNLDAKLRVEMRTEMKLMHQRLKTTTVYVTHDQIEAMTLGDKVAVMKDGIIQQFGTPKDIYNNPANLFVASFIGSPPMNFIPLRLQRKDGRLLALLDSGQARCELPLGMQDAGLEDREVILGIRPEQIILANGEANGLPTIRAEVQVTEPTGPDTLVFVNLNDTKVCCRLAPDVAPAVGETLTLQFDPAKVLLFDAKTGERLGVAGVPKAEAHADNVAQFKGR\r\ncatabolism,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_2119,,AO361_RS10555,WP_057713727.1,,L-arabinose 1-dehydrogenase / D-galactose 1-dehydrogenase (EC 1.1.1.46; EC 1.1.1.48),\"Specifically important for: D-Galactose; L-Arabinose. Both of these sugars are catabolized via a 1-dehydrogenase followed by lactonase and dehydratase reactions. This is the only dehydrogenase is specifically important for either of these carbon sources in several Pseudomonas, except for an alpha-ketoglutarate semialdehyde dehydrogenase that is expected to be the last dedicated step in L-arabinose catabolism (i.e., Pf6N2E2_612). L-arabinose and D-galactose are chemically similar and some dehydrogenases are already known to act on both substrates.\",3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100),3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100),,MAEPLSLPPVPEPPRGERLKNKVVLLTGAAQGIGEAIVATFASQQARLIISDIQGEKVEKVAAHWRDQGADVVAIKADVSRQQDLHAMARLAIDLHGRIDVLVNCAGVNVFRDPLEMTEEDWRRCFAIDLDGAWYGCKAVLPQMIEQGIGSIINIASTHSTHIIPGCFPYPVAKHGLLGLTRALGIEYAPKGVRVNAIAPGYIETQLNVDYWNGFADPHAERQRAFDLHPPRRIGQPIEVAMTAVFLASDEAPFINASCITIDGGRSVMYHD\r\ncatabolism,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_2867,,AO361_RS14290,WP_057714593.1,,D-glucosaminate dehydratase (EC 4.3.1.9),\"Specifically important for: D-Glucosamine Hydrochloride. This enzyme had not previously been linked to a gene. This is the second step in catabolism of glucosamine, and the 'beta' form of the enzyme was expected to be PLP-dependent and about this size. Iwamoto et al (2003) purified a non-specific 'alpha' enzyme for this reaction (PMID: 12686150)\",D-serine deaminase (EC 4.3.1.18),D-serine deaminase (EC 4.3.1.18),,MSSAPNTAAVEKGTAPKGASLVRDVSLPALVLHREALEHNIRWMQAFVSDSGAELAPHGKTSMTPALFRRQLDAGAWGITLASATQTRAAYAHGVRRVLMANQLVGTPNMALIADLLADPTFDFYCMVDHPDNVADLGAYFASRGVRLNVMIEYGVVGGRCGCRSEQQVLDLAKAIAAQPALALTGIEGYEGVIHGDHAVTGIRDFAASLVRLAVQLQDSGAFAIPKPIITASGSAWYDLIAESFEAQNAAGRFLSVLRPGSYVAHDHGIYKEAQCCVLDRRSDLHEGLRPALEVWAHVQSLPEPGFAVIALGKRDVAYDAGLPVPLLRYKAGVVPAEGDDVSVCKVTAVMDQHAFMTVAPGVDLRVGDIISFGTSHPCLTFDKWRVGCLVDEQLNVIETMETCF\r\ncatabolism,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_2985,,AO361_RS14885,WP_057714718.1,,isobutyrl-CoA dehydrogenase (EC 1.3.8.1),\"Specifically important for: L-Valine. Isobutyryl-CoA is an intermediate in valine degradation. SEED annotates it as butyryl-CoA dehydrogenase, which is also expected to perform this reaction\",Butyryl-CoA dehydrogenase (EC 1.3.99.2),Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MHDIELSEEQVMIRDMARDFARGEIAPHAQAWEKAGWIDDGLVAKMGELGLLGMVVPEEWGGTYVDYVAYALAVEEISAGDGATGAFMSIHNSVGCGPVLNYGSEEQKQTWLADLASGQVIGCFCLTEPQAGSEAHNLRTRAELRDGQWVINGAKQFVSNGKRAKLAIVFAVTDPDLGKRGISAFLVPTDTAGFIVDRTEHKMGIRASDTCAVTLNNCTIPEANLLGERGKGLAIALSNLEGGRIGIAAQALGIARAAFEAALAYSRDRVQFGKAINEHQSIANLLADMHMQLNAARLMILHAARLRTAGKPCLSEASQAKLFASEMAEKVCSSAIQIHGGYGYLEDYPVEKYYRDARITQIYEGSSEIQRMVIARELKNYLI\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_3039,,AO361_RS15130,WP_057714764.1,,\"ABC transporter for D-Mannitol, D-Mannose, and D-Mannose, ATPase component\",Specific phenotype on D-Mannitol; D-Mannose.,\"Various polyols ABC transporter, ATP-binding component\",\"Various polyols ABC transporter, ATP-binding component\",sorbitol/mannitol transport system ATP-binding protein,MANLKIKNLQKGFEGFSIIKGIDLEVNDKEFVVFVGPSGCGKSTLLRLIAGLEEVSGGTIELDGRDITEVSPAKRDLAMVFQTYALYPHMSVRKNMSFALDLAGVAKAEVEKKVSEAARILELGPMLERKPKQLSGGQRQRVAIGRAIVRNPKIFLFDEPLSNLDAALRVQMRLELLRLHKELQATMIYVTHDQVEAMTMADKVVVLNGGKIEQVGSPLDLYHQPANLFVAGFLGTPKMGFLKGKITRVDSQGCEVQLDAGTRVSLPLGGRHLSVGSAVTLGIRPEHLELAKPGDCALQVTADVSERLGSDTFCHVRTASGEALTMRVRGDLASRYGETLSLHLDAQHCHLFDADGVALTRPLRVAA\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_3040,,AO361_RS15135,WP_057714765.1,,\"ABC transporter for D-Mannitol, D-Mannose, and D-Mannose, permease component 1\",Specific phenotypes on D-Mannitol; D-Mannose; D-Mannose,\"Various polyols ABC transporter, permease component 2\",\"Various polyols ABC transporter, permease component 2\",sorbitol/mannitol transport system permease protein,MTLQQSRRLQSLLLGTLAWAIAILIFFPIFWMVLTSFKTEIDAFATPPQFIFMPTLENYLHINERSDYFSFAWNSVVISFSATALCLLIAVPAAYSMAFYETQRTRGTLLWMLSTKMLPPVGVLMPIYLLAKSFGLLDTRIALIVIYTLINLPIVVWMIYTYFKDIPRDILEAARLDGATLAQEMLRVLLPIAKGGLASTVLLSLILCWNEAFWSLNLTSSKAAPLTALIASYSSPEGLFWAKLSAVSTLACAPILIFGWISQKQLVRGLSFGAVK\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_3041,,AO361_RS15140,WP_046042047.1,,\"ABC transporter for D-Mannitol, D-Mannose, and D-Mannose, permease component 2\",Specific phenotypes on D-Mannitol; D-Mannose; D-Mannose,\"Various polyols ABC transporter, permease component 1\",\"Various polyols ABC transporter, permease component 1\",sorbitol/mannitol transport system permease protein,MDIAQPQRKSRVANPGWFLVSPSVALLLLWMIVPLGMTVYFSTIRYNLLNPGENEFVGLENFTYFLTDSGFLPGATNTLLLVGSVLLISVVFGVLISALLEASEFFGRGIVRVMLISPFFIMPTVGALIWKNLIFHPVSGILAYVWKLFGAQPVDWLAHYPLLSIIIIVSWQWLPFAILILMTAMQSLDQEQKEAARLDGAGPIAIFWHLTLPHLARPIAVVVMIETIFLLSVFAEIFTTTNGGPGYASTNLAYLIYNQALVQFDVGMASAGGLIAVVIANIAAIILVRMIGKNLTDKA\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_3042,,AO361_RS15145,WP_057714766.1,,\"ABC transporter for D-Mannitol, D-Mannose, and D-Mannose, periplasmic substrate-binding component\",Specific phenotype on D-Mannose; D-Mannitol.,\"Various polyols ABC transporter, periplasmic substrate-binding protein\",\"Various polyols ABC transporter, periplasmic substrate-binding protein\",sorbitol/mannitol transport system substrate-binding protein,MQPSVKALLALTCMTLSSVSLGAQTLTIATVNNSDMIRMQKLSKTFEAEHPDIKLNWVVLEENVLRQRLTTDIATQGGQFDVLTIGMYEAALWGAKGWLEPMKDLPAGYALDDVFASVREGLSVKGQLYALPFYAESSITYYRTDLFKDAGLTMPERPTWEQIGEFAAKLNKPEQEQYGICLRGKAGWGENIALISTVANAYGARWFDEKWQPEFNGPEWKNALNFYVDTMKKSGPPGASSNGFNENLALFNSGKCAIWVDASVAGSFVTDKSQSKVTDHVGFTYAPHQVTDKGSAWLYSWALAIPTSSKAKDAAKTFSAWATSKEYGALVAEKDGIANVPPGTRASTYSEAYMSAAPFARVTLESLKAADPSKPGTRPVPYIGIQLVTIPEFQGIGTQVGKSFSAALIGQTTVDQALAAAQQTTEREMKRAGYPK\r\ncatabolism,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_3314,,AO361_RS16495,WP_057715013.1,,D-galactono-lactonase (EC 3.1.1.-),\"Specifically important for: D-Galactose. A 1,5-lactone is probably the product of D-galactose dehydrogenase (PfGW456L13_2119), althought it might rearrange to a 1,4-lactone. Related to E. coli ybhE or pgl, which is 6-phospho-D-glucono-1,5-lactonase.\",3-carboxymuconate cyclase,3-carboxymuconate cyclase,,MRNLWPLLMAGSIGAMGVQVASAEDYQLLVGSYTAGQSQGIYRLAFDSRTGQIDASPLQVIKSANPSWLTLSKDQRHLFVVNENGPGQTDPVGRVSSFAIDPKTHALSLISQVQSLGNEPTHSSLSIDGSHLFVSNYSVAEDPGGTLAVLPVAADGKLKAVVQMSSHPASRVNPERQASAHVHSTIPSPDGRYVFANDLGADKVFAYRFDPKANPELPLTPATPAFVQLPPGSGPRHLLFSADGKHAWLTMEMSAQVAVFDYHDGQLEQTQMVDLAAGQPVSDKAAAALHASADGKFLYVSNRGTANQLLVFAIDPATGHLSELQRRAVEGDHPREFSLDPSGKFLLIANQKSNQIVVVERDARTGLLGKTVQKLPMDAPSDLRFLLRQ\r\ncatabolism,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_3317,,AO361_RS16510,WP_057715016.1,,2-dehydro-3-deoxy-L-arabinonate dehydratase (EC 4.2.1.43),\"# Specifically important in carbon source L-Arabinose. Similar to PA2216 from Pseudomonas aeruginosa (see PMC:PMC4038344) and to gguC or araD1 (Atu2345) from Agrobacterium tumefaciens (see PMC: PMC3232879), which also have this activity. In Agrobacterium, this reaction is proposed to be a step in L-arabinose oxidation. (Note that 2-keto-3-deoxy-L-lyxonate and 2-keto-3-deoxy-L-arabinonate are the same compound.)\",SUGAR TRANSPORTER,SUGAR TRANSPORTER,,MRLVQFELSNGERRVGVVEAGLVREVQDTRTVRDLALAAIEASASLEQQVQSLGLGISHDYAELLTQRRILPPLDHADPAHMLVSGTGLTHLGSASARDKMHQQSGDETAMTDTMRIFKWGVEGGKPAVDEAGVQPEWFYKGDGGIVVRPGQPFPLPPFAEDAGEEPEIAGLYVIGHDGKPYRLGFAVGNEFSDHVMERKNYLYLAHSKLRSCSYGPELRVGELPQHLAGTSRILRDGEVLWQNEFLSGEANMCHSLANLEFHHFKYSQFLRPGDVHIHFFGTATLSFADGIRTQPGDVFEITQAEFGAPLINGIAPVAAAFEPGTVGTL\r\ncatabolism,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_4396,,AO361_RS21975,WP_057715924.1,,tyrosine aminotransferase (EC 2.6.1.57),Specifically important for: L-Phenylalanine. Phenylalanine is hydroxylated to tyrosine (by PfGW456L13_4394) before deamination. KEGG has same EC# but less specific,Aspartate aminotransferase (EC 2.6.1.1),Aspartate aminotransferase (EC 2.6.1.1),aromatic-amino-acid transaminase,MHFDAIGRVPGDPILGLMEAYAQDPNPRKFDLGVGVYKDAQGLTPILESVKLAEQRLVDHQSTKTYIGGHGEPAFGKAINELVLGADSKLISAQRAGATQTPGGTGALRLSADFIAQCLPGRGVWLSNPTWPIHETIFAAAKVKVSHYPYVGSDNRLDVDGMLAALNEAPKGDVVLLHACCHNPTGFDLSQDDWQRVLEVVRKRELLPLIDFAYQGFGDGLEQDAWSTRLFAAELPELLITSSCSKNFGLYRDRTGALIVCAKTADKLVDIRSQLANIARNLWSTPPDHGAAVVATILGDPELKRLWADEVEAMRLRIAQLRSGLVEALEPHGLRERFAHIGVQRGMFSYTGLSPEQVKNLRDHHSVYMVSSGRANVAGIDATRLDLLAEAIASVCK\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_4770,,AO361_RS23845,WP_046041277.1,,\"ABC transporter for L-Asparagine and possibly other L-amino acids, periplasmic substrate-binding component\",Specific phenotype on L-Asparagine; Sodium octanoate. Detrimental on glutamine and might leak it. The mild phenotype on octanoate is not explained.,Glutamate Aspartate periplasmic binding protein precursor GltI (TC 3.A.1.3.4),Glutamate Aspartate periplasmic binding protein precursor GltI (TC 3.A.1.3.4),glutamate/aspartate transport system substrate-binding protein,MRIVPHILGAAIAAALISTPVFAAELTGTLKKIKESGTITLGHRDASIPFSYIADASGKPVGYSHDIQLKVVEALKKDLDMPNLQVKYNLVTSQTRIPLVQNGTVDLECGSTTNNVERQQQVDFSVGIFEIGTRLLSKADSKYKDFPDLAGKNVVTTAGTTSERILKAMNADKQMGMNVISAKDHGESFQMLETGRAVAFMMDDALLAGEAAKAKKASDWAVTGTPQSYEIYGCMVRKGDEPFKKAVDDAIKATYASGEINKIYEKWFMQPIPPKGLNLNFPMSDELKALIAKPTDKAADDKKS\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_4771,,AO361_RS23850,WP_057716225.1,,\"ABC transporter for L-Asparagine and possibly other L-amino acids, permease component 1\",\"Specific phenotypes on L-Asparagine; L-Asparagine. also has weak phenotypes on other a.a., but not on aspartate; weak phenotype on glutamate; also is detrimental during growth on glutamine (along with a downstream HK-RR), which could imply that it leaks glutamate; ko:K10003 : glutamate/aspartate transport system permease protein\",Glutamate Aspartate transport system permease protein GltJ (TC 3.A.1.3.4),Glutamate Aspartate transport system permease protein GltJ (TC 3.A.1.3.4),glutamate/aspartate transport system permease protein,MNYNWDWGVFFKSTGVGSETYFDWYVTGLAWTIGIAIAAWIIALTLGSILGVMRTVPNRIVSGIATCYVELFRNVPLLVQLFIWYFLVPDLLPADLQEWYKQDLNPTTSAFLSVVVCLGLFTTARVCEQVRTGIQALPKGQESAARAMGFKLPQIYWNVLLPQAYRIIIPPLTSEFLNVFKNTSVASLIGLMELLAQTKQTAEFSANLFEAFTLATLIYFTLNMSLMLLMRVVEKKVAVPGLISVGGK\r\ntransporters,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_4772,,AO361_RS23855,WP_057716226.1,,\"ABC transporter for L-Asparagine and possibly other L-amino acids, permease component 2\",\"Specific phenotypes on L-Asparagine; L-Asparagine. also has weak phenotypes on other a.a., but not on aspartate; weak phenotype on glutamate; also is detrimental during growth on glutamine (along with a downstream HK-RR), which could imply that it leaks glutamate; K10002 : glutamate/aspartate transport system permease protein\",Glutamate Aspartate transport system permease protein GltK (TC 3.A.1.3.4),Glutamate Aspartate transport system permease protein GltK (TC 3.A.1.3.4),glutamate/aspartate transport system permease protein,MEFDFSGIIPSLPGLWNGMIMTLKLMAMGVIGGIILGTILALMRLSHNKVLSNIAGAYVNYFRSIPLLLVITWFYLAVPFVLRWITGEDTPIGAFASCIVAFMMFEAAYFCEIVRAGVQSIPKGQMGAAQALGMSYGQMMRLIILPQAFRKMTPLLLQQSIILFQDTSLVYAVGLVDFLNASRASGDIIGRSNEFLIFAGLVYFIISFAASQLVKRLQKRFAV\r\ncatabolism,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_805,,AO361_RS03965,WP_057712751.1,,gamma-glutamyl-gamma-aminobutyraldehyde dehydrogenase (EC 1.2.1.54),Specifically important for: Putrescine Dihydrochloride. Part of the gamma-glutamyl-putrescine pathway. Annotated as aldehyde dehydrogenase in SEED and as the 4-guanidino enzyme in KEGG (based on studies of PA5312 = kauB). Since this enzyme is closely related to kauB it is probably flexible.,Aldehyde dehydrogenase (EC 1.2.1.3),Aldehyde dehydrogenase (EC 1.2.1.3),4-guanidinobutyraldehyde dehydrogenase / NAD-dependent aldehyde dehydrogenase,MTTLTRADWEQRARDLKIEGRAYINGEYTDAVSGETFECISPVDGRLLGKIASCDAADAQRAVENARATFNSGVWSRLAPTKRKSTMIRFAGLLKQHAEELALLETLDMGKPISDSLYIDVPGAAQALSWSGEAIDKIYDEVAATPHDQLGLVTREPVGVVGAIVPWNFPLMMACWKLGPALSTGNSVILKPSEKSPLTAIRIAELAVEAGIPKGVLNVLPGYGHTVGKALALHNDVDTLVFTGSTKIAKQLLIYSGESNMKRVWLEAGGKSPNIVFADAPNLQDAAEAAAGAIAFNQGEVCTAGSRLLVERSIKDKFLPLVIEALKAWKPGNPLDPATNVGALVDTQQMNTVLSYIESGHADGARLVAGGKRTLQETGGTYVEPTIFDGVSNAMKIAQEEIFGPVLSVIEFDSAEEAIAIANDTPYGLAAAVWTADISKAHLTARALRAGSVWVNQYDGGDMTAPFGGFKQSGNGRDKSLHAFDKYTELKATWIKL\r\ncatabolism,Pseudomonas fluorescens GW456-L13,pseudo13_GW456_L13,PfGW456L13_925,,AO361_RS04565,WP_053163627.1,,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),Specifically important for: Putrescine Dihydrochloride. The first step in putrescine catabolism. (SEED_correct),Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),glutamine synthetase,MSVPPRAVQLNEANAFLKEHPEVLYVDLLIADMNGVVRGKRIERTSLHKVYEKGINLPASLFALDINGSTVESTGLGLDIGDADRICYPIPDTLCNEPWQKRPTAQLLMTMHELEGEPFFADPREVLANVVRKFDEMGLTICAAFELEFYLIDQENVNGRPQPPRSPVSGKRPHSTQVYLIDDLDEYVDCLQDILEGAKEQGIPADAIVKESAPAQFEVNLHHVADPIKACDYAVLLKRLIKNIAYDHEMDTTFMAKPYPGQAGNGLHVHISILDKDGKNIFASEDPEQNAALRHAIGGVLETLPAQMAFLCPNVNSYRRFGAQFYVPNSPCWGLDNRTVAIRVPTGSADAVRIEHRVAGADANPYLLMASVLAGVHHGLTNKIEPGAPVEGNSYEQNEQSLPNNLRDALRELDDSEVMAKYIDPKYIDIFVACKESELEEFEHSISDLEYNWYLHTV\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_03040,AO353_03040,AO353_RS03040,WP_019693166.1,tr|A0A0N9W776|A0A0N9W776_PSEFL,\"ABC transporter for L-Arginine and L-Citrulline, ATPase component\",Specific phenotype on L-Arginine. Also important on citrulline.,amino acid transporter,\"Arginine/ornithine ABC transporter, ATP-binding protein AotP\",,MYKLEVQDLHKRYGSHEVLKGVSLKAAAGDVISIIGSSGSGKSTFLRCINLLEQPHAGKILLNNEELKLVANKDGALKAADPKQLQRMRSRLSMVFQHFNLWSHMTAMENIMEAPVHVLGMSKAEAREKAELYLAKVGVSHRKDAYPGHMSGGEQQRVAIARALAMEPEVMLFDEPTSALDPELVGDVLKVMQALAQEGRTMVVVTHEMGFAREVSNQLVFLHKGVVEESGNPREVLVNPQSERLQQFLSGSLK\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_03045,AO353_03045,AO353_RS03045,WP_019693167.1,tr|A0A0N9W128|A0A0N9W128_PSEFL,\"ABC transporter for L-Arginine and L-Citrulline, permease component 1\",Specific phenotypes on L-Arginine; L-Arginine. also important for citrulline,amino acid ABC transporter permease,\"Arginine/ornithine ABC transporter, permease protein AotM\",arginine/ornithine transport system permease protein,MIFDYNVIWEALPLYFGGLVTTLKLLALSLLFGLLAALPLGLMRVSKQPIVNMSAWLYTYVIRGTPMLVQLFLIYYGLAQFEAVRESFLWPWLSSATFCACLAFAINTSAYTAEIIAGSLRATPNGEIEAAKAMGMSRFKMYKRILLPSALRRALPQYSNEVIMMLQTTSLASIVTLIDITGAARTVNAQYYLPFEAYITAGVFYLCMTFILVRLFKMAEHRWLGYLAPRKH\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_03050,AO353_03050,AO353_RS03050,WP_019693168.1,tr|A0A0N9WAY7|A0A0N9WAY7_PSEFL,\"ABC transporter for L-Arginine and L-Citrulline, permease component 2\",Specific phenotypes on L-Arginine; L-Arginine; L-Arginine. possibly citrulline as well,ABC transporter,\"Arginine/ornithine ABC transporter, permease protein AotQ\",,MLKGYGAVILDGAWLTLQLALSSMALAIVLGLIGVALRLSPIRWLARLGDLYSTVIRGIPDLVLILLIFYGGQDLLNRVAPLLGYDDYIDLNPLVAGIGTLGFIFGAYLSETFRGAFMAIPKGQAEAGAAYGMSSFQVFFRVLVPQMIRLAIPGFTNNWLVLTKATALISVVGLQDMMFKAKQAADATREPFTFFLAVAAMYLVITSVSLLALRHLEKRYSVGVRAADL\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_03055,AO353_03055,AO353_RS03055,WP_054593623.1,tr|A0A0N7GZD9|A0A0N7GZD9_PSEFL,\"ABC transporter for L-Arginine and L-Citrulline, periplasmic substrate-binding component\",Specific phenotype on L-Arginine; L-Citrulline.,ABC transporter substrate-binding protein,\"Arginine/ornithine ABC transporter, periplasmic arginine/ornithine binding protein\",arginine/ornithine transport system substrate-binding protein,MKKLVLLGALALSVLSLPTFADEKPLKIGIEAAYPPFASKAPDGSIVGFDYDIGNALCEEMKVKCVWVEQEFDGLIPALKVRKIDAILSSMSITDDRKKSVDFTNKYYNTPARLVMKAGTQVSDNLAELKGKKIGVQRGSIHNRFAEEVLKPLGAEIKPYGSQNEIYLDVAAGRLDGTVADATLLDDGFLKTDSGKGFAFVGPAFTDEKYFGDGIGIAVRKGDKAELDKINAAIVAIRANGKYKQIQDKYFNFDIYGK\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_03400,AO353_03400,AO353_RS03400,WP_054593685.1,tr|A0A0N9WB79|A0A0N9WB79_PSEFL,Isomerase for D-mannose and D-mannitol catabolism (probably D-mannose-6-phosphate isomerase or D-mannose isomerase),\"Specifically important for: D-Mannitol; D-Mannose. This has a conserved phenotype on mannose and mannitol (which is probably catabolized via mannose or mannose-6-P, although we did not identify the dehydrogenase). Some homologs are annotated as D-mannose isomerase or D-mannose-6-P isomerase. We suspect that the putative fructokinase (AO353_25910) is actually mannose kinase, which would complete the pathway for mannose utilization if this is D-mannose-6-P isomerase (forming fructose-6-phosphate). Also, some close homologs of the 'fructokinase' are detrimental during growth on fructose, which suggests that it is not actually fructokinase. However, data for close homologs suggests D-mannose as the substrate of this enzyme, so the exact role is uncertain. (Also, another gene is annotated as a potential mannose-6-P isomerase (AO353_13390) but is not important for utilizing mannose or mannitol.)\",sugar isomerase,N-acylglucosamine 2-epimerase (EC 5.1.3.8),,MNTAPPAFSSWLNAPAHQQWLADEGLRLLAFAKASKLPEGFGNLDEHGQLPADAQAHTMNTARMTHSFAMAHIQGLPGFAELVDHGINALNGLLRDAEFGGWFAAPDHRDGDTGKAAYLHAFVALAASSAVIAQRPGAEALLNDAIAIIEQHFWSEEEGAMRESFNRDWSEEEPYRGANSNMHATEAFLALADVTQDSRWLNRALRIVERVIHRHAASNDHLVVEHFDRDWQPLRDYNQANPADHFRPYGTTPGHGFEWSRLLLHLEAARGQAGMLTPGWLLSDAQQLFANNCLHGWDVDGAPGIVYTLDWDNRPVVRQRLHWVHCEASAAASVLLKRTGEAQYETWYRRFWEFSDRCLIDRIHGSWHHELDPQNRPSTEIWGGKPDLYHAWQAVLIPRLPLAPSMASALAQGSVSVLM\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_03810,AO353_03810,AO353_RS03810,WP_054593749.1,tr|A0A0N9WF03|A0A0N9WF03_PSEFL,\"Alpha-ketoglutarate permease, MFS superfamily\",\"Specific phenotype on a-ketoglutarate. 86% identical to the a-ketoglutarate transporter in P. aeruginosa (PA5530, see PMCID: PMC4097582) and 56% similar to E. coli kgtP. (KEGG_correct)\",MFS transporter,Dicarboxylate MFS transporter,\"MFS transporter, MHS family, alpha-ketoglutarate permease\",MDNSQTLPLGSAAVPAKEKTTASRIKSIFSGSVGNMVEWYDWYVYAAFSLYFAKAFFPKGDTTAQLLNTAAIFAVGFLMRPIGGWLMGLYADRAGRKAALMASVYLMCFGSLIIALSPGYETIGVGAPILLVFARLLQGLSVGGEYGTSATYLSEMATKERRGFFSSFQYVTLISGQLIALGVLIVLQQTLTTEQLYDWGWRIPFAIGALCAIVALYLRRGMEETESFAKKEKSKESAMRTLLRHPKELMTVVGLTMGGTLAFYTYTTYMQKYLVNTVGMSISDSTTISAATLFLFMCLQPIIGGLSDKVGRRPILIAFGILGTLFTVPILTTLHTIQTWWGAFFLIMAALIIVSGYTSINAVVKAELFPTEIRALGVGLPYALTVSIFGGTAEYIALWFKSIGMETGYYWYVTACIAVSLLVYVTMKDTRKHSRIETD\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_04460,AO353_04460,AO353_RS04460,WP_054593864.1,tr|A0A0N9WFD8|A0A0N9WFD8_PSEFL,\"N-acetylglucosamine-specific PTS system, I, HPr, and IIA components (nagF)\",Specifically important for NAG utilization. (SEED_correct),PTS N-acetyl-D-glucosamine transporter,\"PTS system, glucose-specific IIA component / Phosphotransferase system, phosphocarrier protein HPr / Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)\",phosphocarrier protein,MHNNNKDLTLSAPLSGPVLTLAKVPDPVFASGAMGDGIAIDPLNNTLHAPCAGVVVHVARTGHAVTLRADNGAELLLHLGLDTVELQGEGFSMLVKEGTRVSNGQALLRFDLDQVAQGCKSLVSLLVLTNSEDFQVLPITLKSVKVGEPLLHIVPRTTHSAQVEADSSGAEVHGHIRIIHRGGLHARPAALIRQTAHLFNSKSQLHFAGKSASCDSLIGLMGLGIGEQDEVQVSCKGADAKAALQALLNALSTAVNDDSHAAAPTPIAQRTRTAEAGVLNGVCAAPGLVGGPLFQLAAIPLPEDTGKHNAEEQLQALDRALEQVRSEIRETLSHAKKHKHTEEEQIFAAHLALLEDPALLEAAIQSIDQGSAATHAWSQSIEAQCEVLQQLGNPLLAERANDLRDLRQRVLRALLGQDWHYDVPAGAIVAAHELTPSDLLQLSQQGVAGLCMAEGGATSHVAILARGKGLPCLVALSASLLQQPQGQSVVLDADGGRLELTPDSQRLEQVAQAQREHLQRRERQQAQAHTPAHTRDGLRIEVAANVASSNEAADALKGGADGVGLLRTEFLFVDRQTAPDEQEQRQAYQAVLDAMGDKSVIIRTIDVGGDKQLDYLPLPAEANPVLGLRGIRMAQVRPELLDQQLRALLQVSPLQRCRILLPMVTEVDELLYIRQRLDALCAELALTQRLELGVMIEVPAAALLAEQLAEHADFLSIGTNDLSQYTLAMDRDHAGLAARVDALHPALLRLIAQTCIGAAKHQRWVGVCGALASDPLATPVLIGLGISELSVSPPQVGEIKERVRQLDAADCRRFSATLLNLSSATAVRHACHQHWPLS\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_04465,AO353_04465,AO353_RS04465,WP_054593865.1,tr|A0A0N9VKH1|A0A0N9VKH1_PSEFL,\"N-acetylglucosamine-specific PTS system, IIBC components (nagE)\",Specifically important for NAG utilization. SEED incorrectly implies that this contains the IIA component as well. (KEGG_correct),PTS N-acetyl-D-glucosamine transporter,\"PTS system, N-acetylglucosamine-specific IIA component (EC 2.7.1.69) / PTS system, N-acetylglucosamine-specific IIB component (EC 2.7.1.69) / PTS system, N-acetylglucosamine-specific IIC component (EC 2.7.1.69)\",\"PTS system, N-acetylglucosamine-specific IIB component ; PTS system, N-acetylglucosamine-specific IIC component\",MYQLFIEGLQRLGRALMLPIAILPIAGLLLRLGDTDLLNIAIIHDAGQVIFANLALIFAIGIAVGFARDNNGTAGLAGAIGYLVMVSTLKVLDASINMGMLAGIISGLMAGALYNRFKDIKLPEYLAFFGGRRFVPIATGFSAVGLGVIFGLIWPPIQHGINSFGQLLLESGSIGAFVFGVFNRLLIVTGLHHILNNMAWFIFGSFTDPTTGAIVTGDLARYFAGDPKGGQFMTGMFPMMIFGLPAACLAMYRNALPERRKVMGGIFLSMALTSFLTGVTEPIEFAFMFLAPLLYLLHVLLTGMAMAITNALNIHLGFTFSGGAIDMALGWGKSTNGWLVFPVGLAYAVIYYVVFDFCIRRFNLKTPGREGVVVGEKVVLSENQRAGAYIQALGGAENLITVGACTTRLRLEMVDRNKASDSELKALGAMAVVRPGKGGSLQVVVGPLADSIADEIRQAMPTAGSALVAAVVVTEEAPKAAPVETPEAQKWLNAVGGSDNVLQLDCVAMTRIRLQLADGKALSECQLKDLGCQGVSALDGGVWHLLIGDKALSLSEALEGLVNRSEVSAKV\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_05485,AO353_05485,AO353_RS05485,WP_054594049.1,tr|A0A0N9W2F2|A0A0N9W2F2_PSEFL,\"Fructose-specific PTS system, I, HPr, and IIA components\",\"Specifically important for fructose utilization. The enzyme II B/C components of this PTS system are in AO353_05475 which is cofit and is correctly annotated. AO353_05485 is 73% identical to PA3562, which is also part of a fructose-specific system (PMC:PMC2542419)\",PTS fructose transporter subunit IIA,Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9),phosphocarrier protein,MLELTIEQISMGQSAVDKAAALHLLADTLVNDGLVAEGYLSGLQAREAQGSTFLGQGIAIPHGTPDTRDLVHTTGVRLLQFPEGVDWGDGHIVYLAIGIAAKSDEHLRLLQLLTRALGETDLGQALRRASSAEALLKLLQGAPQELALDAQMIGLGVSADDFEELVWRGARLLRQADCVSNGFSAVLQQVEALPLGDGLWWLHSEQTVKRPGLAFVTPDKPIRYLGQPLSGLFCLASLGEAHQALLERLCALLIEGRGHELGRATSRRAVLEVLGGELPADWPSARIALANAHGLHARPAKILAQLAKSFEGEIRIRIVDGQDSAVSVKSLSKLLSLGARRGQVLELIAEPSIAADALPALLRAIEEGLGEDIEPLPTVSAQSEVIDEITDVVVAPASGCVIQAVAAAPGIAIGPAHIQVLQAIDYPLRGESTAIERERLKTSLADVRRDIEGLIQRSKAKAIREIFITHQEMLDDPELTDEVDTRLKQGESAEAAWMAVIDAAARQQESLQDALLAERAADLRDIGRRVLAQLCGIETPSEPDQPYILVMDEVGPSDVARLDPTRVAGILTARGGATAHSAIVARALGIPALVGAGAAVLRLASGTPLLLDGQRGRLHVDADAATLQRAAEERDNREQRLQAAAAQRHQPALTTDGHAVEVFANIGESAGVVSAVEQGAEGIGLLRTELIFMAHQQAPDEATQEVEYRRVLDGLAGRPLVVRTLDVGGDKPLPYWPIAKEENPFLGVRGIRLTLQRPQIMEAQLRALLRAADNRPLRIMFPMVGSVDEWRQARDMTERLRLEIPVADLQLGIMIEVPSAALLAPVLAKEVDFFSVGTNDLTQYTLAIDRGHPTLSAQADGLHPAVLQLIDITVRAAHAHGKWVGVCGELAADPLAVPVLVGLGVDELSVSARSIGEVKARVRELSLAQVKHLAQLALAVGSANEVRALVEAL\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_07485,AO353_07485,AO353_RS07485,WP_054594340.1,tr|A0A0N9WH75|A0A0N9WH75_PSEFL,Acyl-CoA dehydrogenase (EC 1.3.8.7),Specifically important for: Sodium butyrate; Tween 20. The phenotype on Tween 20 suggests that it has activity on longer substrates as well as on butyryl-CoA (SEED_correct),acyl-CoA dehydrogenase,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MADYKAPLRDMRFVLNEVFEVAKLWAELPALADTVDAETVEAILEEAGKVTSKSIAPLSRAADEEGCHWSDGAVTTPAGFPQAYQTYAEGGWVGVGGDPSYGGMGMPKAVSAQVEEMVNSASLSFGLYPMLTAGACLSINAHASEELKAAYLPNMYAGVWAGSMCLTEPHAGTDLGIIRTKAEPQADGSYKVSGTKIFITGGEHDLTENIIHLVLAKLPDAPAGPKGISLFLVPKFMVNADGSLGARNPANCGSIEHKMGIQASATCVMNFDEAVGYLVGEPNKGLAAMFTMMNYERLGVGIQGLASGERSYQNAVEYARDRLQSRSPTGAQNKDKVADPIIVHPDVRRMLLTMKASNEGGRAFSTYVAMQLDTAKFSEDATIRKRAEDLVALLTPVAKAFLTDLGLETTIHGQQVFGGHGYIREWGQEQLVRDVRITQIYEGTNGIQALDLVGRKIVGSGGAYYKLFADEIRHFTATASADLAEFTKPLNDAVDTLDELTAWLLDRVKNNPNEIGAASVEYLQVFGYVSYAYMWALMAKAAFGKEAQDDFYASKLGTARFYFARLLPRFHSLSASVKAGSESLFLLDAAQF\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_07705,AO353_07705,AO353_RS07705,WP_054594379.1,tr|A0A0N7GZP8|A0A0N7GZP8_PSEFL,DgcB Dimethylglycine demethylase subunit B (EC 1.5.3.-),Specifically important for: Carnitine Hydrochloride. Dimethylglycine is an intermediate in L-carnitine metabolism; this gene is similar to PA5399 or dgcB (PMCID: PMC2293255),(Fe-S)-binding protein,\"Predicted L-lactate dehydrogenase, Iron-sulfur cluster-binding subunit YkgF\",,MLNTLLPILLFAALGLAVLGALRRVAMWRRGRASKVDLIGGLLAMPKRYMVDLHHVVARDKYIANTHVATAGGAVASIVLAILVHGFGLHNRFLGYALLLMTAVMFVGAIFVYLRRRNPPARLSKGPWMRLPKSLLAFSASFFLVTLPVAGILPENFGGWLLAAILGVGVLWGVSELFFGMTWGGPMKHAFAGALHLAWHRRAERFGGGRSTGLKPLDLNDPQAPLGVEKPKDFTWNQLLGFDACVQCGKCEAACPAFAAGQPLNPKKLIQDMVVGLAGGTDAKFAGSPYPGKAIGEHAGNPHQPIVNGLVDAETLWSCTTCRACVEECPMMIEHVDAIVDMRRHLTLEKGATPNKGAEVLENLIATDNPGGFAPGGRMNWAADLNLTLLSEKKSTDVLFWVGDGAFDMRNQRTLRAFVKVLKAAKVDFAVLGLEERDSGDVARRLGDEATFQLLAKRNIQTLAKYSFNRIVTCDPHSFHVLKNEYGAFDGNYLVQHHSTYMAEIIDAGALNLGQHKGDSVTYHDPCYLGRYNGEYEAPRQVLRALGIEVKEMQRSGFRSRCCGGGGGAPITDIPGKQRIPDMRMDDIRETGAELVAVGCPQCTAMLEGVVEPRPLIKDIAELVADALLEDAAPSKSPAPTKRQPAEAH\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_07710,AO353_07710,AO353_RS07710,WP_054594380.1,tr|A0A0N9WSS7|A0A0N9WSS7_PSEFL,DgcA Dimethylglycine demethylase subunit A,Specifically important for: Carnitine Hydrochloride. Carnitine is catabolized via glycine betaine (trimethylglycine) and then demethylated twice to sarcosine (N-methylglycine) (PMCID: PMC2293255) (SEED_correct),N-methylproline demethylase,DgcA Dimethylglycine demethylase subunit A,,MAFEAMFQPIQIGKLTIRNRVLSTAHAEVYATDGGMTTDRYVKYYEEKAKGGIGLAICGGSSSVAIDSPQGWWKSVNLADDRIIPHFQNLADAMHKHGAKIMIQITHMGRRSRWDGEHWPTLLSPSGIREPVHRATCKTIEPEEIWRVIGNYASAAARAKAGGLDGVELSAVHQHMIDQFWSPRVNKRTDEWGGSFENRMRFGLEVIKAVRKEVGPDFCVGIRICGDEFHPDGLSHEDMKQIAKYYDDTGMIDFIGVVGSGCDTHNTLANVIPNMSYPPEPFLHLAAGIKEVVKAPVLHAQNIKDPNQATRILEGGYVDMVGMTRAHIADPHLIAKIKMGQIDQIKQCVGANYCIDRQYQGLDVLCIQNAATSREYMGVPHIIEKSTGVKRKVVVVGAGPAGMEAARVAAERGHDVTLFEKKEFIGGQITTASKAPQRDQIAGITRWFQLELARLKVDLRLGVAADAATILDLRPDIVVLAVGGHPFLEQNEHWGAAEGLVVSSWDVLDGKVLPGKNVLVYDTICEFTGMSVADYLADKGSQVEIVTDDIKPGVAIGGTSFPTYYRSMYPKEVIMTGDMMLDKVYREGDKLVAVLENEYTGAKEERVVDQVVVENGVRPDEEIYYALKEGSRNKGQMDIEALFAIKPQPSLSQAGDGYLLFRIGDCVAQRNTHAAIYDALRLCKDF\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_07740,AO353_07740,AO353_RS07740,WP_054594384.1,tr|A0A0N9WDQ6|A0A0N9WDQ6_PSEFL,\"ABC transporter for Carnitine, substrate-binding component\",\"Specific phenotypes on Carnitine Hydrochloride. Similar to CaiX (see PMID:19919675). This transporter may also have a second SBP,  AO353_07780, similar to CbcX, which is reported to be an alternate SBP for choline or glycine utilization (ibid). However _07780 is also important for carnitine utilization - it might be an additional necessary subunit of this transporter.\",glycine/betaine ABC transporter substrate-binding protein,L-proline glycine betaine binding ABC transporter protein ProX (TC 3.A.1.12.1),glycine betaine/proline transport system substrate-binding protein,MKRLISSCVLALSGTAFLSSGAMAADPAACQNVRMGVVNWTDVIATSAMTQVLLDGLGYKTKQTSASQQIIFAGIRDQRLDMFLGYWNPLMTQTITPFVAGKQVTVLSEPSLKDARATLAVPTYLADKGLKTFADIAKFEKELGGKIYGIEPGSGANTQIKEMIAKNQFGLGKFQLVESSEAGMLAAVDRAVRRNEAVVFFGWAPHPMNVNVKMTYLTGSQDALGPNEGSATVWTVTAPNYASQCPNVSRLLSNLTFTAEDESRMMQPLLDHKDAFESAKQWLKDHPQDKQRWLEGVTTFDGKPAAENLQLSSQ\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_07750,AO353_07750,AO353_RS07750,WP_054594385.1,tr|A0A0N9VS13|A0A0N9VS13_PSEFL,carnitine 3-dehydrogenase [EC:1.1.1.108],Specifically important for: Carnitine Hydrochloride. Not sure why SEED missed this: some very similar proteins are annotated correctly. pba:PSEBR_a5237 has been updated in KEGG and is now annotated as the carnitine dehydrogenase. (KEGG_correct),3-hydroxybutyryl-CoA dehydrogenase,,3-hydroxybutyryl-CoA dehydrogenase,MSFITEIKTFAALGSGVIGSGWVSRALAHGLDVVAWDPAPGAEVALRKRVANAWGALEKQGLAPGASQDRLRFVATIEECVRDADFIQESAPERLELKLELHSKISAAAKPNALIGSSTSGLLPSEFYEGSTHPERCVVGHPFNPVYLLPLVEVVGGKNTAPEAVQAAMKVYESLGMRPLHVRKEVPGFIADRLLEALWREALHLVNDGVATTGEIDDAIRFGAGLRWSFMGTFLTYTLAGGDAGMRHFMAQFGPALQLPWTYLPAPELTDKLIDDVVDGTSDQLGKHSISALERYRDDCLLAVLEAVKTTKAKHGMTFSE\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_07755,AO353_07755,AO353_RS07755,WP_054594386.1,tr|A0A0N9WGA2|A0A0N9WGA2_PSEFL,betainyl-CoA thiolase (EC 3.1.2.-),\"Specifically important for: Carnitine Hydrochloride. This is part of the degradation of carnitine (K. Bastard et al, Nature Chem Biol. 2014). Since KEGG had this EC number you could argue that it is correct, but it made a very vague prediction.\",4-hydroxybenzoyl-CoA thioesterase,,acyl-CoA thioester hydrolase,MPALTTYTTKIIPDWVDYNGHLRDAFYLLIFSYATDALMDQLGMDSNNREASGNSLFTLELHLNYLHEVKLGAEVEVHTQIIGHDRKRLHLYHSLHLVGEEQELAGNEQMLLHVDLAGPRSAPFSESVLNKLRAMSALQSDLPTPAYIGRVIALPPEK\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_07785,AO353_07785,AO353_RS07785,WP_054594390.1,tr|A0A0N7GZQ0|A0A0N7GZQ0_PSEFL,\"ABC transporter for Carnitine, permease component\",Specific phenotypes on Carnitine Hydrochloride. no phenotype in choline stress; annotated as glycine betaine or proline transport. Another issue is that carnitine might be oxidized to choline which is then excreted (MetaCyc Pathway: L-carnitine degradation II) but this would not support growth with carnitine as either C or N source (no C or N extracted). Note that both carnitine and choline are catabolized via glycine betaine and this is clustered with glycine betaine degradation genes. This ABC transporter might also transport choline or glycine betaine with a different SBP (AO353_07780).,choline ABC transporter permease subunit,L-proline glycine betaine ABC transport system permease protein ProW (TC 3.A.1.12.1),glycine betaine/proline transport system permease protein,MLIDQKIPLGQYIAAFVEWLTQHGASTFDAIATTLETMIHGVTFALTWFNPLALIGLIALLAHFIQRKWGLTAFVIASFLLILNLGYWQETMETLAQVLFATFVCVIIGVPLGIVAAHKPMFYTMMRPVLDLMQTVPTFVYLIPTLTLFGLGVVPGLISTVVFAIAAPIRLTYLGIRDVPQELMDAGKAFGCSRRQLLSRIELPHAMPSIAAGITQCIMLSLSMVVIAALVGADGLGKPVVNALNTADIALGFEAGLAIVLLAIMLDRICKQPDAKVGGDA\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_07790,AO353_07790,AO353_RS07790,WP_054594391.1,tr|A0A0N9WA42|A0A0N9WA42_PSEFL,\"ABC transporter for Carnitine, ATPase component\",Specific phenotypes on Carnitine Hydrochloride. Note that both carnitine and choline are catabolized via glycine betaine and this is clustered with glycine betaine degradation genes. This ABC transporter might also transport choline or glycine betaine with a different SBP (AO353_07780).,choline ABC transporter ATP-binding protein,L-proline glycine betaine ABC transport system permease protein ProV (TC 3.A.1.12.1),glycine betaine/proline transport system ATP-binding protein,MSIIRFDNVDVIFSKDPREALKLLDQGMTRDQILKKTGQIVGVEKASLDIEKGEICVLMGLSGSGKSSLLRCINGLNTVSRGKLFVEHEGRQIDIASCTPAELKMMRTKRIAMVFQKFALMPWLTVRENISFGLEMQGRPEKERRQLVDEKLELVGLTQWRNKKPDELSGGMQQRVGLARALAMDADILLMDEPFSALDPLIRQGLQDELLELQRKLHKTIVFVSHDLDEALKLGSRIAIMKDGRIIQYSKPEEIVLNPADDYVRTFVAHTNPLNVLCGRSLMRTLDNCKRINGSVCLDPGGDSWLDLAEGNTIKGARQNGSSLDLQNWVPGQAVEGLGRRPTLVDSNIGMRDALQIRYQTGNKLVLHDNNKVVGILGDSELYHALLGKNLG\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_08585,AO353_08585,AO353_RS08585,WP_054594536.1,tr|A0A0N9VTA1|A0A0N9VTA1_PSEFL,Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19),\"Specifically important for: Putrescine Dihydrochloride. KEGG annotates this as putrescine aminotransferase, probably based on similarity to spuC (PA0299) of P. aeruginosa, but it is believed that only the g-glutamyl- pathway operates in P. aeruginosa (X. Yao et al 2011, PMC:3147493)\",aminotransferase,Omega-amino acid--pyruvate aminotransferase (EC 2.6.1.18),putrescine aminotransferase,MTSKNPQTREWQTLSSEHHLAPFSDFKQLKEKGPRIITNAKGVYLWDSEGNKILDGMAGLWCVAIGYGRDELADAASKQMRELPYYNLFFQTAHPPVLELAKAISDIAPEGMNHVFFTGSGSEGNDTMLRMVRHYWAIKGQPNKKVIISRINGYHGSTVAGASLGGMTYMHEQGDLPIPGIVHIPQPYWFGEGGDMTPEEFGIWAANQLEEKILELGVDTVGAFIAEPIQGAGGVIIPPDSYWPRIKEILAKYDILFVADEVICGFGRTGEWFGSDFYGLKPDMMTIAKGLTSGYIPMGGLIVRDEVVEVLNEGGDFNHGFTYSGHPVAAAVALENIRILREEKIIEHVRAETAPYLQKRLRELNDHPLVGEVRGVGLLGAIELVQDKATRARYVGKGVGMICRQFCFDNGLIMRAVGDTMIIAPPLVITKAEIDELVTKARKCLDLTLSALQS\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_08595,AO353_08595,AO353_RS08595,WP_054594538.1,tr|A0A0N9VMN1|A0A0N9VMN1_PSEFL,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),Specifically important for: Potassium acetate; L-Arginine; Putrescine Dihydrochloride; L-Citrulline. This is the first step in putrescine degradation and is important for the usage of putrescine as either C or N source. The phenotypes on citrulline and arginine might indicate a side pathway where they are converted to putrescine via ornithine decarboxylase (SEED_correct),gamma-glutamylputrescine synthetase,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),glutamine synthetase,MSVPPRAVQLNEANAFLKEHPEVLYVDLLIADMNGVVRGKRIERTSLHKVYEKGINLPASLFALDINGSTVESTGLGLDIGDADRICYPIPNTLCNEPWQKRPTAQLLMTMHELEGEPFFADPREVLANVVRKFDDMGLTICAAFELEFYLIDQENVNGRPQPPRSPVSGKRPHSTQVYLIDDLDEYVDCLQDILEGAKEQGIPADAIVKESAPAQFEVNLHHVADPIKACDYAVLLKRLIKNIAYDHEMDTTFMAKPYPGQAGNGLHVHISILDKDGKNIFASEDPEQNAALRHAIGGVLETLPAQMAFLCPNVNSYRRFGAQFYVPNSPCWGLDNRTVAIRVPTGSADAVRIEHRVAGADANPYLLMASVLAGVHHGLTNKIEPGAPVEGNSYEQNEQSLPNNLRDALRELDDSEVMAKYIDPKYIDIFVACKESELEEFEHSISDLEYNWYLHTV\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_11505,AO353_11505,AO353_RS11505,WP_054595050.1,tr|A0A0N9WI11|A0A0N9WI11_PSEFL,succinate-semialdehyde dehydrogenase (EC 1.2.1.16),\"Specifically important for: L-Citrulline; L-Arginine; Putrescine Dihydrochloride. succinate semialdehyde is an intermediate in putrescine catabolism. KEGG has updated its annotation (K00135, see pman:OU5_3276) to include both succinate semialdehyde and glutarate semialdehyde as substrates. The other phenotypes are milder and might indicate a side pathway of conversion of citrulline and arginine to putrescine via ornithine decarboxylase. (KEGG_correct)\",succinate-semialdehyde dehydrogenase,,glutarate semialdehyde dehydrogenase,MQLKDTLLFRQQAFIDGAWVDADNGQTINVTNPATGEILGTVPKMGAAETRRAIEAADKALPAWRALTAKERANKLRRWFELIIENQDDLARLMTLEQGKPLAEAKGEIVYAASFIEWFAEEAKRIYGDVIPGHQPDKRLIVIKQPIGVTAAITPWNFPAAMITRKAGPALAAGCTMVLKPASQTPYSAFALAELAQRAGIPKGVLSVVTGSAGDIGSELTSNPIVRKLSFTGSTEIGRQLMAECAKDIKKVSLELGGNAPFIVFDDADLDKAVEGAIISKYRNNGQTCVCANRLYIQDSVYDAFAEKLKVAVAKLKIGNGLEEGTTTGPLIDGKAVAKVQEHIADALSKGATLLAGGKVMEGNFFEPTILTNVPKSAAVAKEETFGPLAPLFRFKDEAEVIAMSNDTEFGLASYFYARDLGRVFRVAEALEYGMVGVNTGLISNEVAPFGGIKASGLGREGSKYGIEDYLEIKYLCLGI\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_12275,AO353_12275,AO353_RS12275,WP_054595190.1,tr|A0A0N9VTP5|A0A0N9VTP5_PSEFL,histidine permease,\"Specific phenotype on histidine. 86% identical to PFLU0368, which is required for histidine utilization (PMCID: PMC1950622). SEED_correct\",proline-specific permease,Histidine transport protein (permease),\"amino acid transporter, AAT family\",MQKPANGLKRGLSARHIRFMALGSAIGTGLFYGSASAIQMAGPAVLLAYLIGGAAVFMVMRALGEMAVHNPVAGSFGQYASTYLGPMAGFILGWTYAFEMVIVGMADVTAFGIYMGFWFPEVSRWIWVLGVVSIVGGLNLCNVKVFGEMEFWLSLLKVAAIVAMILGGFGIMLFGISTAPGQVTDISNLWTQGGFMPNGMGGLIASFAVVMFAFGGIEIIGVTAGEAKDPQHVLPRAINAVPLRILLFYVLTMLVLMSIFPWQQIGSQGSPFVQIFDKLGISSAATILNIVVITAAISAINSDIFGAGRMMFGLAQQGHAPKGFAHLSRNGVPWMTVVVMSVALLLGVLLNYLIPENVFLLIASIATFATVWVWLMILFTQVAMRRSMTAEQVAQLKFPVPFWPYAPMAAIAFMLFVFGVLGYFPDTQAALIVGVVWIVLLVLAYLMWVKPAAGQAALVARDPSFSNR\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_12285,AO353_12285,AO353_RS12285,WP_054595192.1,tr|A0A0N9WHL9|A0A0N9WHL9_PSEFL,N-formylglutamate deformylase (EC 3.5.1.68),\"Specifically important for: L-Histidine. KEGG suggests formimidoyl-L-glutamate as the substrate, while SEED suggests N-formylglutamate. This gene is cofit with iminohydrolase (which produces N-formylglutamate) which suggests that the SEED annotation is correct. (SEED_correct)\",N-formylglutamate deformylase,N-formylglutamate deformylase (EC 3.5.1.68),formiminoglutamase,VDKVLNFKQGRVPLLISMPHAGVRLTPAVEAGLIPEAKSLPDTDWHIPTLYEFAAELGASTLAAEYSRFVIDLNRPSDDKPMYVGATTGLYPATLFDGVPLFREGLEPSAEERASYLEKVWTPYHSTLQQELARLKAEFGYALLFDAHSIRSVIPHLFDGKLPDFNLGTFNGASCDPQLASQLEAICARHTDYSHVLNGRFKGGHITRHYGNPAENIHAVQLELGQCTYMEEVEPFRYRPDLAAPTQVVLKELLQGLLAWGQKHYA\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_15995,AO353_15995,AO353_RS15995,WP_054595825.1,tr|A0A0N9WH78|A0A0N9WH78_PSEFL,\"trehalose-specific PTS system, I, HPr, and IIA components\",\"Specific phenotype on trehalose. The IIB/IIC components are provided by AO353_15980. 45% similar to a NAG PTS system (PA3760, PMC:PMC2542419)\",PTS mannose transporter subunit IIC,\"PTS system, glucose-specific IIA component / Phosphotransferase system, phosphocarrier protein HPr / Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)\",\"PTS system, fructose-specific IIA component ; phosphotransferase system, enzyme I, PtsI ; phosphocarrier protein FPr\",MTLTQPLQLLAPLSGVLMPLDHVPDPVFASRVIGDGLCIDPTSQVLCAPLAGVVSNLQHSGHAISITDDSGVQVLLHIGLDTVNLKGQGFSALVEQGQRVEAGQPLIEFDADYVALHARSLLTLMLVVSGEPFSLLTPDSGLVACAQPVLRLSLGDPRTVVAQEEGEALFSKPVHLPNPNGLHARPAAVFAQAAKGFAASICLHKQQDSANAKSLVAIMALQTVHGDALQVSAVGEDAELAISTLAQLLADGCGEAVTPVAVVAPVVEAQEVSTKLLRGVCASAGSAFGYVVQVAERTLEMPEFAADQQLERESLERALMHATQALQRLRDNAAGEAQADIFKAHQELLEDPSLLEQAQALIAEGKSAAFAWNSATEATATLFKSLGSTLLAERALDLMDVGQRVLKLILGVPDGVWELPDQAILIAEQLTPSQTAALDTGKVLGFATVGGGATSHVAILARALGLPAVCGLPLQVLSLASGTRVLLDADKGELHLDPAVSVIEQLHAKRQQQRQRHQHELENAARAAVTRDGHHFEVTANVASLAETEQAMSLGAEGIGLLRSEFLYQQRSVAPSHDEQAGTYSAIARALGPQRNLVVRTLDVGGDKPLAYVPMDSEANPFLGMRGIRLCLERPQLLREQFRAILSSAGLARLHIMLPMVSQLSELRLARLMLEEEALALGLRELPKLGIMIEVPAAALMADLFAPEVDFFSIGTNDLTQYTLAMDRDHPRLASQADSFHPSVLRLIASTVKAAHAHGKWVGVCGALASETLAVPLLLGLGVDELSVSVPLIPAIKAAIREVELSDCQAIAHQVLGLESAEQVREALSVQQQAMVETSQVLES\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_16120,AO353_16120,AO353_RS16120,WP_054595847.1,tr|A0A0N9WH98|A0A0N9WH98_PSEFL,D-alanine and L-alanine transporter,\"Specific phenotype on D-alanine as the carbon source. Also important for utilizing L-alanine as a carbon source. Both of these phenotypes are conserved. For D-alanine as a nitrogen source, there is a mild phenotype, and it may be partly redundant with another amino acid transporter (AO353_04615:04600). Sometimes annotated as a glycine transporter, but neither it nor its orthologs are important on glycine.\",D-alanine/D-serine/glycine permease,D-serine/D-alanine/glycine transporter,\"amino acid transporter, AAT family\",MTVGNHLPHGETAQGGPLKRELGERHIRLMALGACIGVGLFLGSAKAIEMAGPAIMLSYIIGGLAILVIMRALGEMAVHNPVAGSFSRYAQDYLGPLAGFLTGWNYWFLWLVTCVAEITAVAVYMGIWFPEVPRWIWALAALVSMGSINLIAVKAFGEFEFWFALIKIVTIIAMVVGGVGVIAFGFGNDGVALGISNLWSHGGFMPNGVQGVLMSLQMVMFAYLGVEMIGLTAGEAKNPQKTIPNAIGSVFWRILLFYVGALFVILSIYPWNEIGTQGSPFVMTFERLGIKTAAGIINFVVITAALSSCNGGIFSTGRMLYSLAQNGQAPAGFAKTSNGVPRRALLLSIGALLLGVLLNYLVPEKVFVWVTAIATFGAIWTWVMILLAQLKFRKGLSPAERAALKYRMWLYPVSSYLALAFLVMVVGLMAYFPDTRVALYVGPAFLVLLTVLFYVFKLQPTGVPQAAVRTAS\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_16280,AO353_16280,AO353_RS16280,WP_054595877.1,tr|A0A0N7H0A0|A0A0N7H0A0_PSEFL,\"ABC transporter for L-aspartate, L-asparagine, L-glutamate, and L-glutamine, permease component 1\",# Specifically important in carbon source L-Aspartic Acid; pH ; carbon source L-Asparagine; carbon source L-Glutamic acid monopotassium salt monohydrate; carbon source L-Glutamine,amino acid ABC transporter permease,Glutamate Aspartate transport system permease protein GltK (TC 3.A.1.3.4),glutamate/aspartate transport system permease protein,MDLDFSGVVQAVPGMWNGMVMTLQLTVLGVVGGIILGTLLALMRLSHSKLLSNIAGAYVNYFRSIPLLLVITWFYLAVPFVLRWITGEDTPIGAFTSCIVAFMMFEAAYFCEIVRAGVQSIPKGQMGAAKALGMGYGQMMRLIILPQAFRKMTPLLLQQSIILFQDTSLVYTVGLVDFLNATRASGDIIGRANEFLIIAGLVYFTISFAASRLVKRLQKRFAV\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_16285,AO353_16285,AO353_RS16285,WP_054595878.1,tr|A0A0N9WDU0|A0A0N9WDU0_PSEFL,\"ABC transporter for L-aspartate, L-asparagine, L-glutamate, and L-glutamine, permease component 2\",# Specifically important in carbon source L-Aspartic Acid; pH ; carbon source L-Asparagine; carbon source L-Glutamic acid monopotassium salt monohydrate; carbon source L-Glutamine,amino acid ABC transporter permease,Glutamate Aspartate transport system permease protein GltJ (TC 3.A.1.3.4),glutamate/aspartate transport system permease protein,MNYNWDWGVFFKSTGVGSETYLDWFITGLGWTIAIAIVAWIIALMLGSVLGVMRTVPNRLVSGIATCYVELFRNVPLLVQLFIWYFLVPDLLPQNLQDWYKQDLNPTTSAYLSVVVCLGLFTAARVCEQVRTGIQALPRGQESAARAMGFKLPQIYWNVLLPQAYRIVIPPLTSEFLNVFKNSSVASLIGLMELLAQTKQTAEFSANLFEAFTLATLIYFTLNMSLMLLMRMVEKKVAVPGLISVGGK\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_16290,AO353_16290,AO353_RS16290,WP_054595879.1,tr|A0A0N9W726|A0A0N9W726_PSEFL,\"ABC transporter for L-aspartate, L-asparagine, L-glutamate, and L-glutamine, periplasmic substrate-binding component\",# Specifically important in carbon source L-Aspartic Acid; carbon source L-Asparagine; pH ; carbon source L-Glutamic acid monopotassium salt monohydrate; carbon source L-Glutamine,ABC transporter,Glutamate Aspartate periplasmic binding protein precursor GltI (TC 3.A.1.3.4),glutamate/aspartate transport system substrate-binding protein,MRIVPHILGAAITAALISTPVFAAELTGTLKKIKESGTITLGHRDASIPFSYIADASGVPVGYSHDIQLKIVEAIKKDLDMPNLKVKYNLVTSQTRIPLVQNGTVDVECGSTTNNTERQQQVDFSVGIFEIGTKLLSKKDSTYKDFADLKGKNVVTTAGTTSERILKSMNADKQMGMNVISAKDHGESFQMLESGRAVAFMMDDALLAGEMAKAKSPTDWAVTGTAQSYEIYGCMVRKGDAPFKKAVDDAIVATYKSGEINTIYGKWFTQPIPPKNLNLMFPMSDELKALISNPTDKAAEEKKS\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_18575,AO353_18575,AO353_RS18575,WP_054596267.1,tr|A0A0N9WXT8|A0A0N9WXT8_PSEFL,tyrosine aminotransferase (EC 2.6.1.57),\"Specifically important for: L-Phenylalanine. Phenylalanine is catabolized via tyrosine and transamination to 4-hydroxyphenylpyruvate, so tyrosine is the relevant substrate. (KEGG_correct)\",aromatic amino acid aminotransferase,Aspartate aminotransferase (EC 2.6.1.1),aromatic-amino-acid transaminase,MHFDAIGRVPGDPILGLMEAYAQDSNPCKFDLGVGVYKDAQGLTPIPQSVKLAELRLVDRQTTKTYIGGHGDPAFGKVINELVLGADSALIAEQRVGATQTPGGTGALRLSADFIAHCLPGRGIWLSNPTWPIHETIYATAGLKVSHYPYVGSDNRLDVEAMLATLNLIPKGDVVLLHACCHNPTGFDLSHDDWRRVLEVVRSRELLPLIDFAYQGFGDGLEQDAWAVRLFAAELPELLITSSCSKNFGLYRDRTGALIVCAKDAEKLVDIRSQLANIARNLWSTPPDHGAAVVATILGDPELKQLWADEVEAMRLRIAQLRSGLVEALEPHGLGERFAHIGVQRGMFSYTGLTPAQVKNLRDHHSVYMVSSGRANVAGIDATRLDLLAQAFADVCK\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_20845,AO353_20845,AO353_RS20845,WP_054596656.1,tr|A0A0N9WN92|A0A0N9WN92_PSEFL,uridine/adenosine nucleosidase (EC 3.2.2.3; EC 3.2.2.7),Important on adenosine and uridine; annotated by SEED as for uridine and inosine; fitness defect on uridine is subtle but is confirmed by observations for close homologs (SEED_correct),nucleoside hydrolase,Inosine-uridine preferring nucleoside hydrolase (EC 3.2.2.1),purine nucleosidase,MYRYAQRLHHLIRSLLLLSLLTATGAHAAEKIDLIIDTDPGADDVVALLFALASPEELNIRALTTVAGNVRLDKTSRNARLAREWAGREDVPVYAGAPKPLMRTPIYAENIHGKEGLSGVTVHEPKKGLAKGDAVSYLIDTLRAAKPHSITIAMLGPQTNLALALIQDPEITQGIKEVVIMGGAHFNGGNITPVAEFNLFADPHAAEVVLKSGVKLTYLPLDVTHKILTSDARLKQIAALNNNASKLVGDILNEYVKGDMEHYGIPGGPVHDATVIAYLLKPELFTGRAVNVVVDSREGPTFGQTVVDWYDGLKAPKNAFWVANGDAQGFFDLLTARLARLK\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_21385,AO353_21385,AO353_RS21385,WP_054598296.1,tr|A0A0N9WNW1|A0A0N9WNW1_PSEFL,\"m-Inositol ABC transporter, ATPase component (itaA)\",\"Specific phenotype on m-Inositol and 63% identical to SMb20173 or itaA, which also has this function (see PMC2597717).  The periplasmic substrate-binding component (AO353_21380) is not included in this table because it was annotated correclty in both resources. SEED_correct\",D-ribose transporter ATP-binding protein,Inositol transport system ATP-binding protein,simple sugar transport system ATP-binding protein,MFASATASSIPLVGVQPNAIPVDEPYLLEIINVSKGFPGVVALSDVQLRVRPGSVLALMGENGAGKSTLMKIIAGIYQPDAGELRLRGKPVTFDTPLAALQAGIAMIHQELNLMPHMSIAENIWIGREQLNGFHMIDHREMHRCTAQLLERLRINLDPEEQVGNLSIAERQMVEIAKAVSYDSDILIMDEPTSAITDKEVAHLFSIIADLKAQGKGIIYITHKMNEVFSIADEVAVFRDGAYIGLQRADSMDGDSLISMMVGRELSQLFPVREKPIGDLLMSVRDLRLDGVFKGVSFDLHAGEILGIAGLMGSGRTNVAEAIFGITPSDGGEICLDGQPVRISDPHMAIEKGFALLTEDRKLSGLFPCLSVLENMEMAVLPHYAGNGFIQQKALRALCEDMCKKLRVKTPSLEQCIDTLSGGNQQKALLARWLMTNPRILILDEPTRGIDVGAKAEIYRLISYLASEGMAVIMISSELPEVLGMSDRVMVMHEGDLMGTLDRSEATQERVMQLASGMSVRH\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_21390,AO353_21390,AO353_RS21390,WP_054596742.1,tr|A0A0N7H0L7|A0A0N7H0L7_PSEFL,\"m-Inositol ABC transporter, permease component (iatP)\",\"Specific phenotype on m-Inositol and 71% identical to SMb20174 or itaP, which also has this function (see PMC2597717).  The periplasmic substrate-binding component (AO353_21380) is not included in this table because it was annotated correclty in both resources. SEED_correct\",ABC transporter,Inositol transport system permease protein,simple sugar transport system permease protein,MNAILENKPAMAPAKSRRRLPTELSIFLVLIGIGLVFEMFGWIVRDQSFLMNSQRLVLMILQVSIIGLLAIGVTQVIITTGIDLSSGSVLALSAMIAASLAQTSDFARAVFPSLTDLPVWIPVIAGLGVGLLAGAINGSIIAVTGIPPFIATLGMMVSARGLARYYTEGQPVSMLSDSYTAIGHGAMPVIIFLVVAVIFHIALRYTKYGKYTYAIGGNMQAARTSGINVKRHLVIVYSIAGLLAGLAGVVASARAATGQAGMGMSYELDAIAAAVIGGTSLAGGVGRITGTVIGALILGVMASGFTFVGVDAYIQDIIKGLIIVIAVVIDQYRNKRKLKR\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_21710,AO353_21710,AO353_RS21710,WP_054596801.1,tr|A0A0N9WMM3|A0A0N9WMM3_PSEFL,\"ABC transporter for D-glucosamine, periplasmic substrate-binding component\",# Specifically important in nitrogen source D-Glucosamine Hydrochloride; carbon source D-Glucosamine Hydrochloride,ABC transporter substrate-binding protein,\"Glutamine ABC transporter, periplasmic glutamine-binding protein (TC 3.A.1.3.2)\",,MQRRLSLFTACVFLFAATASAVGIAQAADSRLDNVLKRGHLIVGTGSTNAPWHFQGADGKLQGFDIDIGRMVAKGLFNDPSKVEFVVQSSDARIPNLLTDKVDMSCQFITVTASRAQQVAFTLPYYREGVGLLLPANSKYKEIEDLKAAGDSVTVAVLQNVYAEELVHQALPKAKVDQYDSVDLMYQAVNSGRADTAATDQSSVKYLMVQNPGRYRSPTYAWSPQTYACAVKRGDQDWLNFVNTVLHEAMTGVEFPTYAASFKQWFGVDLPSPAIGFPVEFK\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_21715,AO353_21715,AO353_RS21715,WP_054596802.1,tr|A0A0N7H0M5|A0A0N7H0M5_PSEFL,\"ABC transporter for D-glucosamine, permease component 1\",# Specifically important in nitrogen source D-Glucosamine Hydrochloride; carbon source D-Glucosamine Hydrochloride,amino acid ABC transporter permease,\"amino acid ABC transporter, permease protein\",polar amino acid transport system permease protein,MNYQLNFAAVWRDFDTLLAGLGLGLELALVSIAIGCVIGLLMAFALLSKHRALRVLASVYVTVIRNTPILVLILLIYFALPSLGIRLDKLPSFIITLSLYAGAYLTEVFRGGLLSIPKGLREAGLAIGLGEWQVKAYVTVPVMLRNVLPALSNNFISLFKDTSLAAAIAVPELTYYARKINVESYRVIETWLVTTALYVAACYLIAMLLRYLEQRLAIRR\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_21720,AO353_21720,AO353_RS21720,WP_054596803.1,tr|A0A0N9WLR5|A0A0N9WLR5_PSEFL,\"ABC transporter for D-glucosamine, permease component 2\",# Specifically important in nitrogen source D-Glucosamine Hydrochloride; carbon source D-Glucosamine Hydrochloride,ABC transporter permease,\"Amino acid ABC transporter, permease protein\",polar amino acid transport system permease protein,MYESPSWLHELWVARDTLWSGFLTSVQCSVLAIMLGTLIGIVAGLVLTYGTLWMRAPFRFYVDLIRGTPVFVLVLACFYMAPALGWQIDAFQAGVLGLTLFCGSHVAEIVRGALQALPRGQMEASKAIGLTFYQALAYVLLPQALRQILPTWVNSSTEIVKASTLLSVIGVAELLLSTQQIIARTFMTLEFYLFAGFLFFIINYAIELLGRHIEKRVALP\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_21740,AO353_21740,AO353_RS21740,WP_054596807.1,tr|A0A0N9VSJ9|A0A0N9VSJ9_PSEFL,D-glucosaminate dehydratase (EC 4.3.1.9),\"Specifically important for: D-Glucosamine Hydrochloride. This enzyme had not previously been linked to a gene. This is the second step in catabolism of glucosamine, and the 'beta' form of the enzyme was expected to be PLP-dependent and about this size. Iwamoto et al (2003) purified a non-specific 'alpha' enzyme for this reaction (PMID: 12686150)\",amino acid deaminase,D-serine deaminase (EC 4.3.1.18),,MSSALNIAAVEKGAGQPGANLVRDVSLPALVLHREALEHNIHWMQAFVSHSGAELAPHGKTSMTPSLFRRQLEAGAWGITLATVVQTRAAYAHGVRRVLMANQLVGAPNMALIAELLADPSFDFYCMVDHPDNVADLGVFFAARGLRLNVMIEYGVVGGRCGCRSEAEVLALAEAIKAQPGLALTGIEGYEGVIHGDQAVSGIREFAASLVRLAVQLQDSGAFAISKPIITASGSAWYDLIAESFEAQNAGGRFLSVLRPGSYVAHDHGIYKEAQCCVLDRRSDLHEGLRPALEVWAHVQSLPEPGFAVIALGKRDVAYDAGLPVPLLRYRAGVLPAVGDDVSACTVTAVMDQHAFMTVAPGVQLRVGDIISFGTSHPCLTFDKWRTGCLVDEQLNVIESMETCF\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25635,AO353_25635,AO353_RS25635,WP_054597481.1,tr|A0A0N9VZU6|A0A0N9VZU6_PSEFL,arginine deiminase (EC 3.5.3.6),\"Specifically important for: L-Citrulline. Distantly related to characterized arginine deiminases (PF02274); this reaction (in reverse) is the first step of citrulline catabolism, followed by the N2-succinyl-arginine pathway\",amidinotransferase,,,MQTTNTVLMIRPTRFSFNQDTAANNRFQRPAAAAEDVQLKALQEFDGYVAALREHGVEVMVHNDSEAPHTPDSIFPNNWWSSHPDGTLVLYPMQGHNRRLERDKGVLDWLRDAYRIEQLLDLSDLEQQEVFLEGTGSMVLDREQRICYAGYSTRTHAKALDQVVEHLGYELCAFNAVDRHGVPIYHTNVMMSVGRQLAVVCLESVSDLDERNALRSRLECSGKQVLTLSFDQLESFAGNMLEVHNAAGEPLLVMSRTAWRSLHADQRRMVEAYAKPLPVNIDTIERIGGGSARCMLAEVYLPKRVSPQEQH\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25665,AO353_25665,AO353_RS25665,WP_054597487.1,tr|A0A0N9WLS4|A0A0N9WLS4_PSEFL,3-hydroxy-isobutyryl-CoA hydro-lyase (EC 4.2.1.17),\"Specifically important for: L-Valine. Hydroxyisobutyryl-CoA is an intermediate in valine degradation. But is this the hydrolase (forming 3-hydroxyisobutyrate) as suggested by SEED, or is it the hydratase (or hydro-lyase in reverse) converting methylacrylyl-CoA to (S)-3-hydroxy-isobutanoyl-CoA, as suggested by KEGG? It belongs to the ECH_2 (PF16113) family, which should be a hydratase. No other genes for either step are apparent, but a CoA-transferase (AO353_11105) could replace the hydrolase. (KEGG_correct)\",crotonase,3-hydroxyisobutyryl-CoA hydrolase (EC 3.1.2.4),enoyl-CoA hydratase,MTAQVSSQATHGIDASANDVLAEVRNHIGHLTLNRPAGLNAITLDMVRSLHRQLDAWSKDPHIHAVVLRGAGEKAFCAGGDIRSLYDSFKSGGTLHEDFFVEEYALDLAIHHYRKPVLALMDGFVLGGGMGLVQGADLRVVTERSRLAMPEVAIGYFPDVGGSYFLPRIPGELGIYLGVSGVQIRAADALYCGLADWYLESQKLAELDQHLDSLEWHDTPLKDLQGLLAKLALQQLPDAPLQALRPTIDHFFALPDVPSIVEQLRTVTVADSHDWAMTTADLLDSRSPLAMGVTLEMLRRGRQLSLENCFALELHLDRQWFERGDLIEGVRALLIDKDKSPRWNPPTVQALDAKHVASFFSGFDQSGS\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25670,AO353_25670,AO353_RS25670,WP_054597488.1,tr|A0A0N9VZC5|A0A0N9VZC5_PSEFL,isobutyrl-CoA dehydrogenase (EC 1.3.8.1),\"Specifically important for: L-Valine. SEED has it as butyryl-CoA dehydrogenase, which is also expected to perform this reaction in valine catabolism\",acyl-CoA dehydrogenase,Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MHDIELTEEQVMIRDMARDFARGEIAPHAQAWEKAGWIDDALVAKMGELGLLGMVVPEEWGGTYVDYVAYALAVEEISAGDGATGALMSIHNSVGCGPVLNYGTEEQKQTWLADLASGQAIGCFCLTEPQAGSEAHNLRTRAELRDGQWVINGAKQFVSNGRRAKLAIVFAVTDPDLGKKGLSAFLVPTDTPGFIVDRSEHKMGIRASDTCAVTLNNCTIPEANLLGERGKGLAIALSNLEGGRIGIAAQALGIARAAFEAALAYARDRVQFDKPIIEHQSVANMLADMHTRLNAARLLILHAARLRSAGKPCLSEASQAKLFASEMAEKVCSSAIQIHGGYGYLEDYPVERYYRDARITQIYEGSSEIQRMVIARELKNYLV\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25680,AO353_25680,AO353_RS25680,WP_054597490.1,tr|A0A0N9WNL1|A0A0N9WNL1_PSEFL,2-methylbutanoyl-CoA dehydrogenase / butanoyl-CoA dehydrogenase / isobutyryl-CoA dehydrogenase (EC 1.3.8.1),\"Specifically important for: Sodium butyrate. SEED has it as butyryl-CoA dehydrogenase. Also important on isoleucine and valine, which implies that it acts on the other substrates as well\",acyl-CoA dehydrogenase,Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MLPTDEQLQISDAARQFAQERLKPFAAEWDREHRFPKEAIGEMAELGFFGMLVPEQWGGCDTGYLAYAMALEEIAAGDGACSTIMSVHNSVGCVPILKFGNDDQKERFLKPLASGAMLGAFALTEPQAGSDASSLKTRARLNGDHYVLNGCKQFITSGQNAGVVIVFAVTDPSAGKRGISAFIVPTDSPGYKVARVEDKLGQHASDTCQILFEDVQVPVANRLGEEGEGYKIALANLEGGRVGIASQSVGMARAAFEAARDYARERESFGKPIIEHQAVAFRLADMATQIAVARQMVHYAAALRDSGKPALVEASMAKLFASEMAEKVCSTALQTLGGYGYLSDFPLERIYRDVRVCQIYEGTSDIQRMVISRNL\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25685,AO353_25685,AO353_RS25685,WP_054597491.1,tr|A0A0N9X119|A0A0N9X119_PSEFL,acetyl-CoA:acetyl-CoA C-acetyltransferase / acetyl-CoA:propanoyl-CoA 2-C-acetyltransferase (EC 2.3.1.9),Specifically important for: Sodium butyrate; L-Isoleucine. Degradation of acetoacetyl-CoA is consistent with a role in butyrate degradation. The role in Ile degradation suggests that 2-methylacetoacetyl-CoA is also a substrate (conversion to propionyl-CoA + acetyl-CoA). This is included in EC 2.3.1.9. The SEED annotation is more vague. (KEGG_correct),acetyl-CoA acetyltransferase,3-ketoacyl-CoA thiolase (EC 2.3.1.16),acetyl-CoA C-acetyltransferase,MTMSHDPIVIVSAVRTPMGGFQGELKSLSAPQLGAAAIRAAVERAGVAADAVEEVLFGCVLSAGLGQAPARQAALGAGLDKSTRCTTLNKMCGSGMEAAILAHDMLLAGSADVVVAGGMESMSNAPYLLDRARSGYRMGHGKVLDHMFLDGLEDAYDKGRLMGTFAEDCAEANGFTREAQDEFAIASTTRAQQAIKDGSFNAEIVPLQVIVGKEQKLITDDEQPPKAKLDKIASLKPAFRDGGTVTAANSSSISDGAAALLLMRRSEAEKRGLKPLAVIHGHAAFADTPGLFPVAPVGAIKKLLKKTGWSLDEVELFEVNEAFAVVSLVTMTKLEIPHSKVNVHGGACALGHPIGASGARILVTLLSALRQKGLKRGVAAICIGGGEATAMAVECLY\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25880,AO353_25880,AO353_RS25880,WP_054597528.1,tr|A0A0N9WQM3|A0A0N9WQM3_PSEFL,\"ABC transporter for D-mannitol and D-mannose, periplasmic substrate-binding component\",# Specifically important in carbon source D-Mannitol; carbon source D-Mannose,sugar ABC transporter substrate-binding protein,\"Various polyols ABC transporter, periplasmic substrate-binding protein\",sorbitol/mannitol transport system substrate-binding protein,MKPTVKALLACTCMTLSSVSLGAQTLTIATVNNSDMIRMQKLSKTFEAEHPEIKLNWVVLEENVLRQRLTTDIATQGGQFDVLTIGMYEAALWGAKGWLEPMKDLPAGYALDDVFPSVREGLSVKGTLYALPFYAESSMTYYRTDLFKDAGLAMPEHPTWEQIGEFAGKLNKPDQEQYGICLRGKAGWGENMALITTIANAYGARWFDEKWQPEFSGPEWKNALSFYADTMKKSGPPGASSNGFNENLALFNSGKCAIWVDASVAGSFVTDKTQSKVSEHVGFTYAPHQVTDKGSAWLYSWALAIPTSSKAKDAAKTFSAWATSKEYGALVAEKDGIANVPPGTRASTYSEAYMNAAPFAKVTLESLKVADPGKPTLKPVPYIGIQLVTIPEFQAVGTQVGKLFSAALIGQTTVDQALAAAQQTTEREMKRAGYPK\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25885,AO353_25885,AO353_RS25885,WP_054597529.1,tr|A0A0N9VUK6|A0A0N9VUK6_PSEFL,\"ABC transporter for D-mannitol and D-mannose, permease component 1\",# Specifically important in carbon source D-Mannose; also important for using D-mannitol,sugar ABC transporter permease,\"Various polyols ABC transporter, permease component 1\",sorbitol/mannitol transport system permease protein,MNTSTLKAQMDIPAPLRKSRLANPGWFLVSPSVALLLLWMIVPLGMTLYFSLIRYNLLYPGDNAFVGLENFSYFLTDSGFLPGATNTLLLVGSVLLISVVFGVLISALLEASEFLGRGIVRVMLISPFFIMPTVGALIWKNLIFHPVSGILAAVWKLFGAQPVDWLAHYPLLSIIIIVSWQWLPFAILILMTAMQSLDQEQKEAARLDGAGPIAIFWHLTLPHLARPIAVVVMIETIFLLSVFAEIFTTTNGGPGYASTNLAYLIYNQALVQFDVGMASAGGLIAVVIANIAAIILVRMLGKNLTDKA\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25890,AO353_25890,AO353_RS25890,WP_054597530.1,tr|A0A0N9WHV6|A0A0N9WHV6_PSEFL,\"ABC transporter for D-mannitol and D-mannose, permease component 2\",# Specifically important in carbon source D-Mannose; also important for using D-mannitol,sugar ABC transporter permease,\"Various polyols ABC transporter, permease component 2\",sorbitol/mannitol transport system permease protein,MTLQQTRRLQSLLLGTLAWAIAILIFFPIFWMVLTSFKTEIDAFATPPQFIFTPTLENYLHVNERSGYFSFAWNSVVISFSATALCLLIAVPAAYSMAFYETQRTKGTLLWMLSTKMLPPVGVLMPIYLLAKSFGLLDTRIALIIIYTLINLPIVVWMIYTYFKDIPKDILEAARLDGATLWQEMVRVLLPIAKGGLASTVLLSLILCWNEAFWSLNLTSSKAAPLTALIASYSSPEGLFWAKLSAVSTLACAPILIFGWISQKQLVRGLSFGAVK\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_25895,AO353_25895,AO353_RS25895,WP_054597531.1,tr|A0A0N9WAL6|A0A0N9WAL6_PSEFL,\"ABC transporter for D-mannitol and D-mannose, ATPase component\",# Specifically important in carbon source D-Mannose; carbon source D-Mannitol,ABC transporter ATP-binding protein,\"Various polyols ABC transporter, ATP-binding component\",sorbitol/mannitol transport system ATP-binding protein,MAHLKIKNLQKGFEGFSIIKGIDLEVNDREFVVFVGPSGCGKSTLLRLIAGLEEVTAGTIELDGRDITEVSPAKRDLAMVFQTYALYPHMSVRKNMSFALDLAGVNKAEVEKKVNEAARILELGPMLERKPKQLSGGQRQRVAIGRAIVRNPKIFLFDEPLSNLDAALRVQMRLELARLHKELQATMIYVTHDQVEAMTLADKVVVLNGGRIEQVGSPLELYHQPANLFVAGFLGTPKMGFLKGKVTRVERQNCEVLLDAGTRITLPLSGANLSIGGAVTLGIRPEHLNLALPGDCTLQVTADVSERLGSDTFCHVLTASGEALTMRIRGDLASRYGEQLSLHLDAEHCHLFDANGVAVARPLRAAA\r\ntransporters,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_26685,AO353_26685,AO353_RS26685,WP_054598350.1,tr|A0A0N9W1L7|A0A0N9W1L7_PSEFL,cobalt efflux pump,\"Strong phenotypes on citrate (as a carbon source) but also on cobalt stress. The citrate phenotype may be due to iron deprivation (via chelation by the citrate) leading to heavy metal stress. The cobalt phenotype is more conserved.  It is possible that nickel is also a substrate of this efflux pump, as a slight defect in nickel stress was observed, and this protein is 49% identical to the cobalt and nickel exporter dmeF (Atu0891) of Agrobacterium tumefaciens (PMID:27235438). AO353_26685 is annotated as performing zinc or cadium efflux as well (czcD), but unfortunately, we do not have data for those heavy metal stresses. However a role in zinc stress seems doubtful, as a close homolog in strain GW456-L13 is not important for resisting zinc.\",cation transporter,Cobalt-zinc-cadmium resistance protein CzcD,,MRSTPQVSRYSHDHMFLGATHDENARRTLWVVALTFVMMVGEIIAGYITGSMALLADGFHMATHVGALGITAIAYGFARRNAGNARYSFGTGKVGDLAGFASAMVLGLVSIFIAVESVMRLFQPTTVAFTEATLIAVLGLAVNIVSALLLAGNSAHHDHGHGHGHGHGHGHGHHHDNNLRSAYVHVLADAMTSVLAIAALLAGRYLGWVWLDPVMGIVGAIVIANWAYGLMRDSAAVLLDTTDEHVAAEVRELLESTGDVSITDLHVWRVGPQARAAIVSVVTSAAVTADTIRERLAPVHELSHLTVEYRNA\r\ncatabolism,Pseudomonas fluorescens FW300-N2E3,pseudo3_N2E3,AO353_29305,AO353_29305,AO353_RS29305,WP_054598124.1,tr|A0A0N9WJH3|A0A0N9WJH3_PSEFL,Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),Specifically important for: Putrescine Dihydrochloride. part of the gamma-glutamyl-putrescine pathway for degrading putrescine (SEED_correct),gamma-glutamyl-gamma-aminobutyrate hydrolase,Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),putative glutamine amidotransferase,MALKPLIGVTACVKQIGLHPYHVSGDKYLRAVSVAALGLPVVIPSLGELTEIDELLAHLDGLLLTGSPSNVEPFHYQGPASAPGTDHDPARDSTTLPLLRAAIAAGVPVLGICRGFQEMNVAFGGSLHQKVHELPGMLDHREADHPDLAVQYAPAHAVSVQPGGVFQALELPPVFQVNSIHSQGIDRLAPGLRAEAIAPDGLIEAISVEHSKAFALGVQWHPEWQVLANPPYLSIFQAFGDACRQRAALRNTR\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00010,AO356_00010,AO356_RS00010,WP_060738036.1,tr|A0A0N9WSQ8|A0A0N9WSQ8_PSEFL,\"ABC transporter for D-Sorbitol, ATPase component\",Specific phenotype on D-Sorbitol.,ABC transporter ATP-binding protein,\"Various polyols ABC transporter, ATP-binding component\",,MATLKIENLKKGFEGLSIIKGIDLEVKDKEFVVFVGPSGCGKSTLLRLIAGLEDVTSGTIELDGRDITEVTPAKRDLAMVFQTYALYPHMTVRKNLSFALDLAGEKKPDVERKVAEAARILELGSLLDRKPKQLSGGQRQRVAIGRAIVRNPKIFLFDEPLSNLDAALRVQTRLELSRLHKELQATMIYVTHDQVEAMTLATKVVVLNAGRIEQIGSPLELYHHPANLFVAGFLGTPKMGFLQATVHAVHASGVEVRFASGTTLLIPRDSSALSVGQSVTIGIRPEHLTLGAEGQVLVTTDVTERLGSDTFCHVNVDSGESLTVRVQGDCEVPYAARRYLTLDVAHCHLFDESGLSVSPAASRAA\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00015,AO356_00015,AO356_RS00015,WP_013692786.1,tr|A0A0N9VWQ6|A0A0N9VWQ6_PSEFL,\"ABC transporter for D-Sorbitol, permease component 1\",Specific phenotypes on D-Sorbitol; D-Sorbitol. (no phenotype on mannitol),sugar ABC transporter permease,\"Various polyols ABC transporter, permease component 2\",sorbitol/mannitol transport system permease protein,MMTLKQSRSLQSVLLGTLAWVTALLLFFPIFWMVLTSFKTEIDAFATPPQFIFMPTLENYLHIQERSDYFHFAWNSVLISFSATALCMLIAVPAAYSMAFYETKRTKQTLLWMLSTKMLPPVGVLMPIYLLAKGAGLLDTRIALIVIYTLINLPIVVWMIYTYFKDIPREILEAARLDGATLGQEMLRVLLPISKGGLASTMLLSMILCWNEAFWSLNLTSSSAAPLTALIASYSSPEGLFWAKLSAVSTLACAPILIFGWISQKQLVRGLSFGAVK\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00020,AO356_00020,AO356_RS00020,WP_013692785.1,tr|A0A0N9WK88|A0A0N9WK88_PSEFL,\"ABC transporter for D-Sorbitol, permease component 2\",Specific phenotypes on D-Sorbitol; D-Sorbitol. (no phenotype on mannitol),sugar ABC transporter permease,\"Various polyols ABC transporter, permease component 1\",,MNTSIIRAQLAASAPSRARRLINPGWFLVSPSVALLLLWMIVPLAMTVYFSVIRYNLLNPGENEFVGLENFAYFVTDSGFLPGALNTLILVGSVLLISVIFGVLIAALLEASEFFGRGIVRVLLISPFFIMPTVGSLIFKNLIFHPVSGILAAVWKFFGAQPVDWLAHYPLFSIIVIVSWQWLPFAILLLMTAMQSLDQEQKEAARLDGAGALAIFWHLTLPHLARPIAVVVMIETIFLLSVFAEIFTTTNGGPGFASTNLAYLIYNQALVQFDVGMASAGGLIAVVIANIAAIVLVRMIGKNLTDKA\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00025,AO356_00025,AO356_RS00025,WP_060738037.1,tr|A0A0N9WC97|A0A0N9WC97_PSEFL,\"ABC transporter for D-Sorbitol, periplasmic substrate-binding component\",Specific phenotype on D-Sorbitol.,sugar ABC transporter substrate-binding protein,\"Various polyols ABC transporter, periplasmic substrate-binding protein\",,MKITNALILSTGLSFALASHAAETLTIATVNNGDMIRMQRLSKVFEQQHPDIKLNWVVLEENVLRQRLTTDIATQGGQFDVLTIGTYETPMWGAKNWLEPMKDLPAGYDVDDIFPAVRQGLSVNDTLYALPFYGESTITYYRTDLFKAAGLTMPGQPTWSQLGEFAAKLNDPSKDQYGMCLRGKAGWGENMALLTTMANAFGARWFDEKWQPELNGPEWKAAATFYVDTLKKYGPPGVSSNGFNETLALFNSGKCAIWVDASVAGSFTTDKEQSRVVDSVGFAPAPIEVTDKGSSWLYAWSLAIPATSKHKEAAKSFVTWATSKEYIQLVTDKDGITNVPPGTRISTYSDAYLKAAPFAQVTLQMMKHADPSQPSAKPVPYVGIQYVVIPEFQSIGTSVGKLFSAALTGQMSVEQALASAQSTTEREMKRAGYPKK\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00450,AO356_00450,AO356_RS00450,WP_060738105.1,tr|A0A0N9WKE9|A0A0N9WKE9_PSEFL,D-glucosaminate dehydratase (EC 4.3.1.9),\"Specifically important for: D-Glucosamine Hydrochloride. This enzyme had not previously been linked to a gene. This is the second step in catabolism of glucosamine, and the 'beta' form of the enzyme was expected to be PLP-dependent and about this size. Iwamoto et al (2003) purified a non-specific 'alpha' enzyme for this reaction (PMID: 12686150)\",amino acid deaminase,D-serine deaminase (EC 4.3.1.18),,MSSVIPNAGVEKGAATVGAHLLKDVSLPALVLHRAALEHNIRWMQAFVTDSGAELAPHGKTSMTPALFRRQLDAGAWGLTLATAVQTRAAYAHGVRRVLMANQLVGTPNMALIADLLADPAFEFHCMVDHPDNVADLGAFFASRGMKLNVMIEYGVVGGRCGCRTEAEVLALAEAIRSQPALALTGIEGYEGVIHGDHAISGIRAFAASLVRLAVQLQDDDAFAIDKPIITASGSAWYDLIAESFEAQNAHGRFLSVLRPGSYVAHDHGIYKEAQCCVLERRSDLHEGLRPALEVWAHVQSLPEPGFAVIALGKRDVAYDAGLPVPLKRYTPGSDSVPGDDVSGCKVTAVMDQHAFMSVAAGVELRVGDIIAFGTSHPCLTFDKWRVGCLVDEQLRVVESMETCF\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00470,AO356_00470,AO356_RS00470,WP_028236639.1,tr|A0A0N9WS63|A0A0N9WS63_PSEFL,\"ABC transporter for D-Glucosamine, permease component 1\",Specific phenotypes on D-Glucosamine Hydrochloride. Detrimental on D-serine as N source,ABC transporter permease,\"Amino acid ABC transporter, permease protein\",polar amino acid transport system permease protein,MYESPSWLHELWVARDTLWAGFLTSVQCSLLAIVLGTLIGLVAGLVLTYGRTWMRAPFRFYVDLIRGTPVFVLVLACFYMAPALGWQIGAFQAGVLGLTLFCGSHVAEIVRGALQALPRGQMEASQAIGLTFYQSLGYVLLPQALRQILPTWVNSSTEIVKASTLLSVIGVAELLLSTQQIIARTFMTLEFYLFAGFLFFIINYAIELLGRHIEKRVALP\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00475,AO356_00475,AO356_RS00475,WP_018608019.1,tr|A0A0N7H195|A0A0N7H195_PSEFL,\"ABC transporter for D-Glucosamine, permease component 2\",Specific phenotypes on D-Glucosamine Hydrochloride. Detrimental on D-serine as N source,amino acid ABC transporter permease,\"amino acid ABC transporter, permease protein\",polar amino acid transport system permease protein,MNYQLNFAAVWRDFDTLLAGLGLGLSLALVSIAIGCVIGLAMAFALLSKHRVLRVLASVYVTVIRNTPILVLILLIYFALPSLGIRLDKLPSFVITLSLYAGAYLTEVFRGGLLSIHKGQREAGLAIGLGEWQVKAYVTVPVMLRNVLPALSNNFISLFKDTSLAAAIAVPELTYYARKINVESYRVIETWLVTTALYVAACYLIAMVLRYFEQRLAIRR\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00480,AO356_00480,AO356_RS00480,WP_060738109.1,tr|A0A0N9WRG0|A0A0N9WRG0_PSEFL,\"ABC transporter for D-Glucosamine, periplasmic substrate-binding component\",Specific phenotype on D-Glucosamine Hydrochloride.,ABC transporter substrate-binding protein,\"Glutamine ABC transporter, periplasmic glutamine-binding protein (TC 3.A.1.3.2)\",,MQRRPSLFKACVFLFAATTAAMGVAQAADSKLDSVLQRGKLIVGTGSTNAPWHFQGADGKLQGFDIDIARMVAKGLFNDPEKVEFVVQSSDARIPNLLTDKVDMSCQFITVTASRAQQVAFTLPYYREGVGLLLPANSKYKEIEDLKAAGDDVTVAVLQNVYAEELVHQALPKAKVDQYDSVDLMYQAVNSGRADAAATDQSSVKYLMVQNPGRYRSPAYAWSPQTYACAVKRGDQDWLNFVNTTLHEAMTGVEFPTYAASFKQWFGVELPSPAIGFPVEFK\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_00940,AO356_00940,AO356_RS00940,WP_060738180.1,tr|A0A0N9WKN2|A0A0N9WKN2_PSEFL,uridine/adenosine nucleosidase (EC 3.2.2.3; EC 3.2.2.7),\"Specifically important for: Uridine. Also important on adenosine. Annotated by SEED as acting on uridine and inosine, and the fitness data suggests that it might also act on inosine (subtle phenotype)\",nucleoside hydrolase,Inosine-uridine preferring nucleoside hydrolase (EC 3.2.2.1),,MHRYAEKMHQLIRSLLLLSLITATSAQAAEKIDLIIDTDPGADDVVALLFALASPEELHIRALTTVAGNVRLDKTSRNARLAREWAGREDVPVYAGAPKPLMRTPIYAENIHGKEGLSGVTVHEPKKGLAEGNAVNYLIDTLKAAKPHSITIAMLGPQTNLALALVQEPDIVQGIKEVVIMGGAHFNGGNITPVAEFNLFADPQAAEVVAKSSVKLTYLPLDVTHKILTSEARLKQIAALNNNASKLVGDILNEYVKGDMEHYGMTGGPVHDATVIAYLLKPQLFTGRSVNVVVDSREGPTFGQTIVDWYDGLKAPKNAFWVENGDAQGFFDLLTERLARLK\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_05200,AO356_05200,AO356_RS05210,WP_060738871.1,tr|A0A0N9WVA7|A0A0N9WVA7_PSEFL,Isomerase for D-mannose and D-mannitol catabolism (probably D-mannose-6-phosphate isomerase or D-mannose isomerase),\"Specifically important for: D-Mannitol; D-Mannose. Often annotated as N-acylglucosamine 2-epimerase, but some homologs are annotated as D-mannose isomerase or D-mannose-6-phosphate isomerase, which would fit its phenotypes. (Mannitol is probably converted to mannose or mannose-6-phosphate.) A fructokinase AO356_00035 also seems to be required for consuming these substrates, which suggests that this converts D-mannose to D-fructose, but data for close homologs suggests a phosphorylated substrate instead, so the substrate is uncertain.\",sugar isomerase,N-acylglucosamine 2-epimerase (EC 5.1.3.8),,MDTFQPAFSSWLNAPAHQQWLAAEGLRLLAFAKASKLPDGFGNLDELGRLPADARAETMNTARMTHSFAMAHIQGLPGFAELVDHGIQALNGRLRDAEHGGWFATTRPDEDGAGKAAYLHAFVALAASSAVVAQRPGAAALLDEAVRIIDEHFWCEEEGALRESFNRDWSEEEAYRGANSNMHATEAFLALADATDDPRWLVRALRIVERVIHGHAAANDYLVVEHFDRHWQPLHEYNQDNPADGFRPYGTTPGHGFEWARLLLHLEAARVQIGMLTPGWLAQDAQKLFDQNCRHGWDVDGAPGIVYTLDWDNRAVVRHRLHWVHAEAAAAASALLKRTDEAKYEAWYRCFWEFCDKHFIDRCNGSWHHELDPQNRPSADIWPGKPDLYHAWQAVLIPRLPLAPSMASALARLSSPAPV\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_05495,AO356_05495,AO356_RS05505,WP_060738925.1,tr|A0A0N9WVJ0|A0A0N9WVJ0_PSEFL,\"ABC transporter for L-Lysine, periplasmic substrate-binding component\",\"Specific phenotype on L-Lysine. Note that this organism has a second ABC transporter that is also important for lysine utilization, which is not explained.\",ABC transporter substrate-binding protein,Lysine-arginine-ornithine-binding periplasmic protein precursor (TC 3.A.1.3.1),lysine/arginine/ornithine transport system substrate-binding protein,MKKALLTLSALALCMAAGVATAKEYKELRFGVDPSYAPFESKAADGSLVGFDIDLGNAICAELKVKCKWVESDFDGMIPGLKANKFDGVISSMTVTPAREKVIDFSSELFSGPTAYVFKKGSGLSEDVASLKGKTIGYEQGTIQEAYAKAVLDKAGVKTQAYQNQDQVYADLTSGRLDAAIQDMLQAELGFLKSPKGEGYEVSKPVDSELLPAKTAIGIKKGNSELKALLDKGIKALHDDGKYAEIQKKHFGDLNLYSGK\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_05500,AO356_05500,AO356_RS05510,WP_060743074.1,tr|A0A0N9X3H8|A0A0N9X3H8_PSEFL,\"ABC transporter for L-Lysine, permease component 1\",\"Specific phenotypes on L-Lysine; L-Lysine. Note that this organism has a second ABC transporter operon that is important for lysine utilization, which is not explained.\",amino acid ABC transporter permease,\"Histidine ABC transporter, permease protein HisQ (TC 3.A.1.3.1)\",histidine transport system permease protein,MFEQLLQNLGLSAFSLQGFGPLLMQGTWMTIKLSALSLLLSVLLGLLGASAKLSRVKLLRIPAQLYTTLIRGVPDLVLMLLIFYSLQTWLTSFTDFMEWEYIEIDPFGAGVITLGFIYGAYFTETFRGAILAVPRGQVEAATAYGLKRGQRFRFVVFPQMMRFALPGIGNNWMVMLKATALVSIIGLADLVKAAQDAGKSTYQLFYFLVLAALIYLLITSASNFILRWLERRYAAGAREAVR\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_05505,AO356_05505,AO356_RS05515,WP_060738926.1,tr|A0A0N9VZB6|A0A0N9VZB6_PSEFL,\"ABC transporter for L-Lysine, permease component 2\",\"Specific phenotypes on L-Lysine; L-Lysine. Note that this organism has a second ABC transporter operon that is also important for lysine utilization, which is not explained.\",amino acid ABC transporter permease,\"Histidine ABC transporter, permease protein HisM (TC 3.A.1.3.1)\",histidine transport system permease protein,MIELLQEYWRPFLYSDGVNITGLAMTLWLLSASLLIGFVVSIPLSIARVSPKFYVRWPVQFYTYLFRGTPLYIQLLICYTGIYSIAAVRAQPMLDSFFRDAMNCTILAFALNTCAYTTEIFAGAIRSMNHGEVEAAKAYGLTGWKLYAYVIMPSALRRSLPYYSNEVILMLHSTTVAFTATVPDVLKVARDANSATFLTFQSFGIAALIYLTVTFALVGLFRLAERRWLAFLGPTH\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_05515,AO356_05515,AO356_RS05525,WP_060738928.1,tr|A0A0N9WEE5|A0A0N9WEE5_PSEFL,\"ABC transporter for L-Lysine, ATPase component\",\"Specific phenotype on L-Lysine. Note that this organism has a second ABC transporter operon that is also important for lysine utilization, which is not explained.\",amino acid transporter,\"Histidine ABC transporter, ATP-binding protein HisP (TC 3.A.1.3.1)\",histidine transport system ATP-binding protein,MYKLTIEGLHKSYGEHEVLKGVSLKAKTGDVISLIGASGSGKSTFLRCINFLEQPNDGAMTLDGQPVQMIKDRHGMHVADADELQRIRTRLAMVFQHFNLWSHMTVLENITMAPRRVLGVSKQEADDRARRYLDKVGLPARVAEQYPAFLSGGQQQRVAIARALAMEPEVMLFDEPTSALDPELVGEVLKVIQGLAEEGRTMIMVTHEMSFARKVSNQVLFLHQGLVEEEGAPEDVLGNPKSERLKQFLSGNLK\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_07550,AO356_07550,AO356_RS07560,WP_060743082.1,tr|A0A0N9WGP9|A0A0N9WGP9_PSEFL,L-lactate and D-lactate permease (lctP family),\"This gene is often annotated as a L-lactate transporter but has a specific phenotype on D-lactate as well. Although it is difficult to rule out polar effects on the lactate dehydrogenase genes downstream, this gene's phenotype on D-lactate is conserved and is observed on both strands, and no other D-lactate transporter was identified by the mutant fitness data. (There is a zinc ABC transporter with a specific defect on D-lactate, but it is very similar to znuABC of P. aeruginosa, i.e. AO356_11480 is 65% identical to PA5498, so it is unlikely to be a lactate transporter.) Furthermore, the annotation as lactate permease seems to be derived from E. coli glcA or yghK, which transports both isomers of lactate (PMID:11283302). (KEGG_correct)\",L-lactate permease,L-lactate permease,\"lactate transporter, LctP family\",MQTWQQLYSPLGSLGLSALAAVIPIVFFFLALAVFRLKGHVAGSITLALAIAVAIFAFNMPADMAFAAAGYGFAYGLWPIAWIIVAAVFLYKLTVKSGQFEVIRSSVLSITDDQRLQVLLIGFCFGAFLEGAAGFGAPVAITAALLVGLGFNPLYAAGLCLIANTAPVAFGALGIPIIVAGQVTGIDAFKIGAMTGRQLPLLSLFVPFWLVFMMDGLRGVRETWPAALVAGLSFAITQYFTSNFIGPELPDITSALASLISLTLFLKVWQPKRTAGAQIAGATSSATVTASVGGFGQPRSTVASPYSLGEIIKAWSPFLILTVLVTIWTLKPFKAMFAAGGSMYGWVFNFAIPHLDQMVIKVAPIVINPTAIPAVFKLDPISATGTAIFFSALISMLVLKINIKTGLTTFKETLFELRWPILSIGMVLAFAFVTNYSGMSSTMALVLAGTGAAFPFFSPFLGWLGVFLTGSDTSSNALFSSLQATTAHQIGVNDTLLVAANTSGGVTGKMISPQSIAVACAATGLVGKESDLFRFTLKHSLFFATIVGLITLAQAYWFTGMLVH\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09590,AO356_09590,AO356_RS09605,WP_060739584.1,tr|A0A0N9W738|A0A0N9W738_PSEFL,N-formylglutamate deformylase (EC 3.5.1.68),\"Specifically important for: L-Histidine. KEGG suggests formimidoyl-L-glutamate as the substrate, while SEED suggests N-formylglutamate. This gene is cofit with iminohydrolase (which produces N-formylglutamate) which suggests that the SEED annotation is correct. (SEED_correct)\",N-formylglutamate deformylase,N-formylglutamate deformylase (EC 3.5.1.68),formiminoglutamase,VEKVLNFKQGRVPLLVSMPHAGLRLTPAVKAGLIPEAQSLPDTDWHIPQLYEFANELGASTLAAEYSRFVVDLNRPSDDKPMYVGATTGLYPATLFDGVPLFREGLEPSAEERATYLQQVWMPYHQALRQELARLKAEFGYALLFDAHSIRSVIPHLFDGKLPDFNLGTFNGASCDPTLASQLEAICARHGQFTHVLNGRFKGGHITRHYGNPAEDIHAVQLELCQSTYMEEFEPFNYRPDLAAPTQVVLRELLEGFLAWGQKTYKH\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09610,AO356_09610,AO356_RS09625,WP_050586211.1,tr|A0A0N9X7T0|A0A0N9X7T0_PSEFL,\"ABC transporter for L-Histidine, ATPase component\",Specific phenotype on L-Histidine. This gene cluster also includes a permease of the nucleobase-cation-symport family (AO356_09625) that is important for histidine utilization but whose role is unclear. (SEED_correct),hypothetical protein,\"Histidine ABC transporter, ATP-binding protein (TC 3.A.1)\",glycine betaine/proline transport system ATP-binding protein,MSNAAISKIEVKNVFKIFGNRSKEALELIRQNKTKDQVLAETGCVVGVNDLSLSIGTGEIFVIMGLSGSGKSTLVRHFNRLIDPTSGAILVDGEDILQLDMDALREFRRHKISMVFQSFGLLPHKSVLDNVAYGLKVRGESKQVCAERALHWINTVGLKGYENKYPHQLSGGMRQRVGLARALAADTDIILMDEAFSALDPLIRAEMQDQLLELQKTLHKTIVFITHDLDEAVRIGNRIAILKDGKLIQVGTPREILHSPADEYVDRFVQRRAAVV\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09615,AO356_09615,AO356_RS09630,WP_060739588.1,tr|A0A0N9W6X3|A0A0N9W6X3_PSEFL,\"ABC transporter for L-Histidine, permease component\",Specific phenotypes on L-Histidine.,ABC transporter permease,\"Histidine ABC transporter, permease protein (TC 3.A.1)\",glycine betaine/proline transport system permease protein,MFPESFTFSIADWVNGWVDSLVTNYGDVFRHISDTLLWAIVNLEGLLRMAPWWLMLAIVGGIAWHATRKVLATAVIVGLLFLVGAVGLWDKLMQTLALMLVATLISVLIGIPLGILSARSNRLRSVLMPLLDIMQTMPSFVYLIPVLMLFGLGKVPAIFATVIYAAPPLIRLTDLGIRQVDGEVMEAINAFGANRWQQLFGVQLPLALPSIMAGINQTTMMALSMVVIASMIGARGLGEDVLVGIQTLNVGRGLEAGLAIVILAVVIDRITQAYGRPRHEVSK\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09620,AO356_09620,AO356_RS09635,WP_014336129.1,tr|A0A0N9WXL6|A0A0N9WXL6_PSEFL,\"ABC transporter for L-Histidine, periplasmic substrate-binding component\",Specific phenotype on L-Histidine. This gene cluster also includes a permease of the nucleobase-cation-symport family (AO356_09625) that is important for histidine utilization but whose role is unclear,histidine ABC transporter substrate-binding protein,\"Histidine ABC transporter, histidine-binding protein (TC 3.A.1)\",glycine betaine/proline transport system substrate-binding protein,MKSNKTLLTTLLSMGLLASAGATQAAGWCESGKPVKFAGLNWESGMLLTDVLQVVLEKGYDCKTDSLPGNSITMENALSSNDIQVFAEEWVGRSEVWNKAEKAGKVVGVGAPVVGAIEGWYVPRYVVEGDAKRKLEAKAPGLKNIADLGQYAAVFKDPEEPSKGRFYNCPAGWTCELDNSEMLKSYGLEKTYTNFRPGTGPALDAAVLSSYKRGEPILFYYWSPTPLMGQVDLVKLEEKPGVDKSVSIKVGLSKTFHDEAPELVAVLEKVNLPIDILNQNLGRMAKERIESPKLAKIFLKEHPEVWHAWVSEDAAKKIDAAL\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09635,AO356_09635,AO356_RS09650,WP_060739590.1,tr|A0A0N7H1W3|A0A0N7H1W3_PSEFL,histidine utilization regulatory protein hutD,Specifically important for: L-Histidine. Believed to prevent overexpression of the hut operon (not an enzyme) (PMC:1950622),hypothetical protein,Conserved hypothetical protein (perhaps related to histidine degradation),hypothetical protein,MSQLKVLRAADYPRMPWKNGGGSTEEITRDAGTGLEGFGWRLSIADIGESGGFSTFAGYERIISVLQGDGMTLNVDGQATGPLRPLDPFAFSGESHVHCTLLGGPIRDFNLIYAPQRYRARLQWVGGQQRFFSEAETLLVFSAAPGLTIRIGESAVILGLYDCLQLSGNTGLLDITSHGQCCVIELTAR\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09895,AO356_09895,AO356_RS09910,WP_014336086.1,tr|A0A0N9WX98|A0A0N9WX98_PSEFL,\"ABC transporter for L-Lysine, ATPase component\",\"Has weaker phenotypes on lysine than the other components, but is in an apparent operon and has the correct domain. Note that this organism has a second ABC transporter operon that is also important for lysine utilization, which is not explained.\",amino acid transporter,\"Histidine ABC transporter, ATP-binding protein HisP (TC 3.A.1.3.1)\",,MAQATPALEIRNLHKRYGQLEVLKGVSLTARDGDVISILGSSGSGKSTFLRCINLLENPNQGQILVAGEELKLKAAKNGELVAADGKQINRLRSEIGFVFQNFNLWPHMSVLDNIIEAPRRVLGQSKAEAVEVAEALLAKVGIADKRHAYPAELSGGQQQRAAIARTLAMQPKVILFDEPTSALDPEMVQEVLSVIRALAEEGRTMLLVTHEMGFARQVSSEVVFLHQGLVEEQGSPQQVFENPLSARCKQFMSSNR\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09900,AO356_09900,AO356_RS09915,WP_060739627.1,tr|A0A0N9WVY2|A0A0N9WVY2_PSEFL,\"ABC transporter for L-Lysine, periplasmic substrate-binding component\",\"Specific phenotypes on L-Lysine; L-Lysine. Note that this organism has a second ABC transporter operon that is also important for lysine utilization, which is not explained.\",amino acid ABC transporter,Lysine-arginine-ornithine-binding periplasmic protein precursor (TC 3.A.1.3.1),,MQTYKKFLLAAAVSLVFSANAMAADKLKMGIEAAYPPFNNKDASGQVVGFDKDIGDALCAKMKVECEVVTSDWDGIIPALNAKKFDFLISSLSITEERKQAVDFTDPYYSNKLQFIAPKSAEFKTDKDSLKGKVIGAQRATLAGTWLEDELGSDITTKLYDTQENAYLDLTSGRVDAILADKYVNYDWLKTEAGRAYEFKGDPVVESDKIGIAVRKGDNELRNKLNAALKEIVADGTYKKINDKYFPFNIY\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09905,AO356_09905,AO356_RS09920,WP_060739628.1,tr|A0A0N9X7X5|A0A0N9X7X5_PSEFL,\"ABC transporter for L-Lysine, permease component 1\",\"Specific phenotypes on L-Lysine; L-Lysine. Note that this organism has a second ABC transporter operon that is also important for lysine utilization, which is not explained.\",ABC transporter permease,\"Arginine ABC transporter, permease protein ArtQ\",polar amino acid transport system permease protein,MMIDLHGFGPALAAGALMTVKLALSALCLGLVLGLLGALAKTSPYKPLQWLGGTYSTLVRGIPELLWVLLIYFGTVNLMRALGEYLGMPDLALNAFAAGVIALGLCFGAYATEVFRGAILAIPKGHREAGVALGLSKWRIFTRLIMPQMWRIALPGLGNLFMILMKDTALVSVIGLEEIMRHAQIGVTVSKQPFTFYMVAALMYLGLTVLAMLGMHLLERRAARGFARSTQ\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_09910,AO356_09910,AO356_RS09925,WP_060739629.1,tr|A0A0N9W704|A0A0N9W704_PSEFL,\"ABC transporter for L-Lysine, permease component 2\",\"Specific phenotype on L-Lysine. Note that this organism has a second ABC transporter operon that is also important for lysine utilization, which is not explained.\",ABC transporter permease,\"Amino acid ABC transporter, permease protein\",polar amino acid transport system permease protein,MNWDVIIKWLPKLAQGATLTLELVAIAVIAGLLLAIPLGIARSSRLWQVRALPYAYIFFFRGTPLLVQLFLVYYGLAQFDAVRSSALWPYLRDPFWCATVTMTLHTAAYIAEILRGAIQAIPKGEIEAARALGMSRPKALFYIMLPRAARIGLPAYSNEVILMLKASALASTVTLLELTGMARTIIARTYLPVEIFFAAGMFYLLMSFLLVQGFKQLERWLRVDACQGR\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_10715,AO356_10715,AO356_RS10730,WP_060739768.1,tr|A0A0N9WQQ6|A0A0N9WQQ6_PSEFL,2-aminoadipate:2-oxoglutarate aminotransferase (EC 2.6.1.39),Specifically important for: L-Lysine. This is required for catabolism of lysine on the way to glutarate. The amino group donor is uncertain,4-aminobutyrate aminotransferase,5-aminovalerate aminotransferase (EC 2.6.1.48) / Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19),,MSKTNADLMARRTAAVPRGVGQIHPIFAESAKNATVTDVEGREFIDFAGGIAVLNTGHVHPKIIAAVTAQLNKLTHTCFQVLAYEPYVEVCEKINAKVPGDFAKKTLLVTTGSEAVENAVKIARAATGRAGVIAFTGAYHGRTMMTLGLTGKVVPYSAGMGLMPGGIFRALYPNELHGVSIDDSIASIERIFKNDAEPRDIAAIIIEPVQGEGGFYVAPKEFMKRLRALCDQHGILLIADEVQTGAGRTGTFFAMEQMGVAADLTTFAKSIAGGFPLAGVCGKAEYMDAIAPGGLGGTYAGSPIACAAALAVMEVFEEEHLLDRCKAVGERLVTGLKAIQKKYPVIGEVRALGAMIAVELFENGDTHKPNAAAVAQVVAKARDKGLILLSCGTYGNVLRVLVPLTSPDEQLDKGLAIIEECFSEL\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_10845,AO356_10845,AO356_RS10860,WP_060739786.1,tr|A0A0N7H1Z1|A0A0N7H1Z1_PSEFL,succinyl-CoA-glutarate CoA-transferase (EC 2.8.3.13),\"Specifically important for: L-Lysine. Glutaryl-CoA is an intermediate in lysine catabolism and this reaction would be a way to form it from glutarate before oxidation by AO356_10850. Other reactions in this pathway were also found but the only candidate for glutarate semialdehyde dehydrogenase,  AO356_26740, had little phenotype.) Note that this EC number is primarily associated with forming (S)-3-hydroxy-methylglutaryl-CoA.\",CoA-transferase,L-carnitine dehydratase/bile acid-inducible protein F,,MGALSHLRVLDLSRVLAGPWAGQILADLGADVIKVERPGNGDDTRAWGPPFLKDARGENTTEAAYYLSANRNKQSVTIDFTRPEGQRLVRELAAKSDILIENFKVGGLAAYGLDYDSLKAINPQLIYCSITGFGQTGPYAKRAGYDFMIQGLGGLMSLTGRPEGDEGAGPVKVGVALTDILTGLYSTAAILAALAHRDHVGGGQHIDMALLDVQVACLANQAMNYLTTGNAPKRLGNAHPNIVPYQDFPTADGDFILTVGNDGQFRKFAEVAGQPQWADDPRFATNKVRVANRAVLIPLIRQATVFKTTAEWVTQLEQAGVPCGPINDLAQVFADPQVQARGLAMELPHLLAGKVPQVASPIRLSETPVEYRNAPPLLGEHTLEVLQRVLGLDEAAVMAFREAGVL\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_12580,AO356_12580,AO356_RS12595,WP_060740066.1,tr|A0A0N9W2U4|A0A0N9W2U4_PSEFL,gamma-glutamyl-gamma-aminobutyraldehyde dehydrogenase (EC 1.2.1.54),\"Specifically important for: Putrescine Dihydrochloride; L-Arginine.  Part of the gamma-glutamyl-putrescine pathway. The phenotype on arginine is mild and might reflect a side pathway from arginine to putrescine via ornithine decarboxylase. KEGG now annotates it as acting on the 4-guanidino form, and it probably also acts on the 4-amino form (see studies of PA5312 = kauB). Since this enzyme is closely related to kauB it is probably flexible.\",aldehyde dehydrogenase,Aldehyde dehydrogenase (EC 1.2.1.3),,MTTLTRTDWEQRARDLKIEGRAFINGEYTDAVSGETFDCLSPVDGRLLGKIASCDVADAQRAVENARATFNSGVWSRLAPSKRKTTMIRFAGLLKQHAEELALLETLDMGKPISDSLNIDVPGAAQALSWSGEAIDKLYDEVAATPHDQLGLVTREPVGVVGAIVPWNFPLMMACWKLGPALSTGNSVVLKPSEKSPLTAIRIAALAIEAGIPKGVLNVLPGYGHTVGKALALHMDVDTLVFTGSTKIAKQLMIYSGESNMKRIWLEAGGKSPNIVFADAPDLQAAAESAASAIAFNQGEVCTAGSRLLVERSIKDTFLPLVIEALKGWKPGNPLDPATNVGALVDTQQMNTVLSYIEAGHSDGAKLVAGGKRILEETGGTYVEPTIFDGVSNAMKIAQEEIFGPVLSVIAFDTAEQAIEIANDTPYGLAAAVWTKDISKAHLTAKALRAGSVWVNQYDGGDMTAPFGGFKQSGNGRDKSLHAFDKYTELKSTWIKL\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_13135,AO356_13135,AO356_RS13155,WP_025216023.1,tr|A0A0N9WZ72|A0A0N9WZ72_PSEFL,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),Specifically important for: Putrescine Dihydrochloride. This is the first step in putrescine catabolism,gamma-glutamylputrescine synthetase,,glutamine synthetase,MSVPPRAVQLNEANAFLKEHPEVLYVDLLIADMNGVVRGKRIERTSLHKVYEKGINLPASLFALDINGSTVESTGLGLDIGDADRICYPIPDTLCNEPWQKRPTAQLLMTMHELEGEPFFADPREVLRQVVTKFDELGLTICAAFELEFYLIDQENVNGRPQPPRSPISGKRPHSTQVYLIDDLDEYVDCLQDILEGAKEQGIPADAIVKESAPAQFEVNLHHVADPIKACDYAVLLKRLIKNIAYDHEMDTTFMAKPYPGQAGNGLHVHISILDKDGKNIFASEDPEQNAALRHAIGGVLETLPAQMAFLCPNVNSYRRFGAQFYVPNSPTWGLDNRTVALRVPTGSADAVRLEHRVAGADANPYLLMAAVLAGVHHGLVNKIEPGAPVEGNSYEQNEQSLPNNLRDALRELDDSEVMAKYIDPKYIDIFVACKESELEEFEHSISDLEYNWYLHTV\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_13140,AO356_13140,AO356_RS13160,WP_060740154.1,tr|A0A0N9W325|A0A0N9W325_PSEFL,Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),Specifically important for: Putrescine Dihydrochloride. this is part of the gamma-glutamyl-putrescine pathway for putrescine catabolism (SEED_correct),gamma-glutamyl-gamma-aminobutyrate hydrolase,Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),putative glutamine amidotransferase,MSRLPLIGVTTCSRQMGLHAYHTSGDKYARAVATAAKGLPVLVPSLADLFPPSDILDALDGILLTGSPSNVEPFHYQGPASAPGTAHDPARDATTLPLIRAAVEAGVPVLGICRGFQEMNVAFGGSLHQKVHEVGTFIDHREDDTQAVEVQYGPAHAVDIQPGGILAGLGLPQSIEVNSIHSQGIERLAPGLRAEAVAPDGLIEAVSVPEGKAFALGVQWHPEWEVSSNPHYLAIFQAFGDACRARATQRDADASNNA\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_13150,AO356_13150,AO356_RS13170,WP_060740156.1,tr|A0A0N9WHY7|A0A0N9WHY7_PSEFL,Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19),\"Specifically important for: Putrescine Dihydrochloride. KEGG annotates this as putrescine aminotransferase, probably based on similarity to spuC (PA0299) of P. aeruginosa, but it is believed that only the g-glutamyl- pathway operates in P. aeruginosa (X. Yao et al 2011, PMC3147493)\",aminotransferase,Omega-amino acid--pyruvate aminotransferase (EC 2.6.1.18),putrescine aminotransferase,MTRNNPQTREWQALSNDHHLAPFSDFKQLKEKGPRIITHAKGVYLWDSEGNKILDGMAGLWCVAVGYGREELADAASQQMRELPYYNLFFQTAHPPVLELSKAIADIAPEGMNHVFFTGSGSEGNDTMLRMVRHYWAIKGQPNKKVIISRKNGYHGSTVAGASLGGMTYMHEQGDLPIPGIVHIAQPYWFGEGGDMSPEEFGVWAANQLEEKILEIGVDNVGAFIAEPIQGAGGVIVPPDSYWPRMKEILAKYDILFVADEVICGFGRTGEWFGTDHYGLKPHMMTIAKGLTSGYIPMGGLIVRDDVVAVLNEGGDFNHGFTYSGHPVAAAVALENIRILRDEKIIERVHSETAPYLQKRLRELNDHPLVGEVRGVGLLGAIELVQDKATRKRYEGKGVGMICRQFCFDNGLIMRAVGDTMIIAPPLVISKAEIDELVTKARHCLDLTLSALQG\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_13805,AO356_13805,AO356_RS13825,WP_060740268.1,tr|A0A0N9WRY0|A0A0N9WRY0_PSEFL,\"ABC transporter for Carnitine, ATPase component\",Specific phenotype on Carnitine Hydrochloride. Likely to be a choline or glycine betaine transporter as well (with AO356_13855 as the SBP),choline ABC transporter ATP-binding protein,L-proline glycine betaine ABC transport system permease protein ProV (TC 3.A.1.12.1),glycine betaine/proline transport system ATP-binding protein,MSIIRFEDVDVIFSNRPKAALDLLDKGFSRPEILQQTGLIVGVEKASLSIEKGEICVLMGLSGSGKSSLLRCINGLNTVSRGKLFVEHEGRQIDIASCSPAELKMMRTKRIAMVFQKFALMPWLTVRENISFGLEMQGRPEKERRKLVDEKLELVGLTQWRNKKPDELSGGMQQRVGLARALAMDADILLMDEPFSALDPLIRQGLQDELLELQRKLQKTIVFVSHDLDEALKLGTRIAIMKDGKIIQYSKPEEIVLNPADDYVRTFVAHTNPLNVLCGRSLMRTLDNCKRINGSVCLDPGGDSWLDLAEGNTIKGARQNGAVLDLQNWAPGQSVEELGRRPTLVDSNIGMRDALQIRYQTGNKLVLHDNQKVVGILGDSELYHALLGKNLG\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_13810,AO356_13810,AO356_RS13830,WP_060740269.1,tr|A0A0N9WI93|A0A0N9WI93_PSEFL,\"ABC transporter for Carnitine, permease component\",Specific phenotypes on Carnitine Hydrochloride; Carnitine Hydrochloride.,choline ABC transporter permease subunit,L-proline glycine betaine ABC transport system permease protein ProW (TC 3.A.1.12.1),glycine betaine/proline transport system permease protein,MLIDQKIPLGQYIAGFVEWLTQNGASTFDAIALFLETMIHGVTFALTWFNPLALIGLIALLAHFIQRKWGLTVFVIASFLLILNLGYWQETMETLAQVLFATLVCVLIGVPLGIVAAHKPMFYTMMRPVLDLMQTVPTFVYLIPTLTLFGLGVVPGLISTVVFAIAAPIRLTYLGIRDVPDELMDAGKAFGCSRRQLLSRIELPHAMPSIAAGITQCIMLSLSMVVIAALVGADGLGKPVVNALNTADIALGFEAGLAIVLLAIMLDRICKQPDAKVGGDA\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_13815,AO356_13815,AO356_RS13835,WP_060740270.1,tr|A0A0N9WVR6|A0A0N9WVR6_PSEFL,\"ABC transporter for Carnitine, periplasmic substrate-binding component 1\",\"Specific phenotype on Carnitine Hydrochloride. This protein is similar to CaiX of P. syringae or P. aeruginosa (Psyr_2916 and PA5388) which has been shown to be a L-carnitine SBP (see PMID:19919675). Another gene in the cluster, AO356_13855, is also a SBP and is specifically important for L-carnitine utilization. AO356_13855 is similar to CbcX of P. aeruginosa or P. syringae (PA5378 or Psyr_4709) which is specific for choline or glycine betaine (ibid). Nevertheless, insertions in _13855 have a specific defect for carnitine utilization. It is possible that these insertions are polar on the beta-cleavage enzyme (_13850) which is required for carnitine catabolism. However insertions in _13855 in either orientation have a strong phenotype.\",glycine/betaine ABC transporter substrate-binding protein,L-proline glycine betaine binding ABC transporter protein ProX (TC 3.A.1.12.1),glycine betaine/proline transport system substrate-binding protein,MKGSKPLLLAAMLSLPMLANAADPEKCSTVNFSDVGWTDITVTTATTSVVLDALGYKTKTTMISVPVTYKSLADGKNMDVFLGNWMPTMENDIKAYREAGTVETVRTNLKGAKYTLAVPQALYDKGLHDFADIPKFKKELDGKIYGIEPGNDGNRLIQSMIEKNAFGLKDAGFKVVESSEAGMLSQVDRASKRGTDVVFLGWAPHPMNTRFKIQYLTGGDDFFGPDFGAATVATNTRKGYSQECSNVGQLLKNLEFTVDMESQLMGNVLDDKMKPEAAAKAWLKKNPQVLDTWLAGVTTIDGKPGLEAVKAKLAQ\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_13840,AO356_13840,AO356_RS13860,WP_060740275.1,tr|A0A0N9X9G0|A0A0N9X9G0_PSEFL,\"L-carnitine 3-dehydrogenase, thioesterase-like subunit CdhB (EC  1.1.1.108)\",\"Specifically important for: Carnitine Hydrochloride. This is CdhB (PA5385), a subunit of L-carnitine 3-dehydrogenase. See PMC2857723.\",4-hydroxybenzoyl-CoA thioesterase,,acyl-CoA thioester hydrolase,MPTLTTYQTRILPEWVDYNGHLRDAFYLLIFSYATDALMDRLGLDSQNREASGHSLFTLELHLNYLHEVKLGAEVQVHTQIIGHDAKRLHLYHSLHLVGGDKELAGNEQMLLHVDLAGPRSAPFTEQTLARLDALLDEQSDLPPPAYIGRVIALPPAR\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_14165,AO356_14165,AO356_RS14185,WP_060740332.1,tr|A0A0N9WIE7|A0A0N9WIE7_PSEFL,Acyl-CoA dehydrogenase (EC 1.3.8.7),\"Specifically important for: Tween 20. tween 20 hydrolyzes to a mix of C12, C14, and C16 fatty acids; this is probably part of beta oxidation (SEED_correct)\",acyl-CoA dehydrogenase,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MPDYKAPLRDIRFVRDELLGYEAHYQSLPACQDATPDMVDAILEEGAKFCEQVLAPLNRVGDIEGCTWSESGVKTPAGFKEAYKQFVEGGWPSLAHDVEHGGQGLPESLGLAVSEMVGEANWSWGMYPGLSHGAMNTISEHGTPEQQEAYLTKLVSGEWTGTMCLTEPHCGTDLGMLRTKAEPQADGSYKVSGTKIFISAGEHDMADNIVHIVLARLPDAPAGTKGISLFIVPKFLPNADGSIGQRNAVSCGSLEHKMGIHGNATCVMNFDAATGYLIGPANKGLNCMFTFMNTARLGTALQGLAHAEIGFQGGLKYARDRLQMRSLTGPKAPDKAADPIIVHPDVRRMLLTMKAFAEGNRAMVYFTAKQVDIVKYGVDEEEKKKADALLAFMTPIAKAFMTEVGFESANHGVQIYGGHGFIAEWGMEQNVRDSRISMLYEGTTGIQALDLLGRKVLMTQGEALKGFTKIVHKFCQSNEGNEAVKEFVEPLAALNKEWGELTMKVGMAAMKDREEVGAASVDYLMYSGYACLAYFWADMARLAAEKLAAGTTEEAFYTAKLQTARFYFQRILPRTRTHVATMLSGANNLMDMKEEDFALGY\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_14190,AO356_14190,AO356_RS14210,WP_060740336.1,tr|A0A0N9WXM3|A0A0N9WXM3_PSEFL,Acyl-CoA dehydrogenase (EC 1.3.8.7),\"Specifically important for: Tween 20. tween 20 hydrolyzes to a mix of C12, C14, and C16 fatty acids; this is probably part of beta oxidation (SEED_correct)\",acyl-CoA dehydrogenase,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MADYKAPLRDMRFVLNEVFEVAKLWAQLPVLADTVDAETVEAILEEAGKVTSKSIAPLSRAADEEGCHWANGAVTTPAGFPQAYKTYAEGGWVGVGGDPVYGGMGMPKAVSAQVEEMVNSASLSFGLYPMLTAGACLSINAHASEELKAAYLPNMYAGVWAGSMCLTEPHAGTDLGIIRTKAEPQADGSYKVSGTKIFITGGEHDLTENIIHLVLAKLPDAPAGPKGISLFLVPKFMVNADGSLGARNAANCGSIEHKMGIQASATCVMNFDEAVGYLVGEPNKGLAAMFTMMNYERLGVGIQGLASGERSYQNAVEYARDRLQSRSPTGAQNKDKVADPIIVHPDVRRMLLTMKASNEGGRAFSTYVAMQLDTAKFSEDPVTRKRAEDLVALLTPVAKAFLTDLGLETTVHGQQVFGGHGYIREWGQEQLVRDVRITQIYEGTNGIQALDLVGRKIVGSGGAFYRLFADEIRHFTATASSDLAEFTKPLNDAVGTLDELTDWLLDRAKNNPNEIGAASVEYLQAFGYTAYAYMWALMAKAAFGKENQDDFYASKLGTARFYFARLLPRIHSLSASVKAGSESLFLLEPGQF\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_14225,AO356_14225,AO356_RS14245,WP_060740343.1,tr|A0A0N9WIF6|A0A0N9WIF6_PSEFL,5-aminopentanamidase (EC 3.5.1.30),Specifically important for: L-Lysine. this is an early step in the oxidation of lysine (SEED_correct),carbon-nitrogen hydrolase,5-aminopentanamidase (EC 3.5.1.30),,MRVALYQCPPLPLDPAGNLHRLHQVALEARGADVLVLPEMFMTGYNIGVDAVNVLAEVYNGEWAQQIGRIAKAANLAIVYGYPERGEDGQIYNAVQLIDAQGERLANYRKSHLFGDLDHAMFSAGDSALPIVELNGWKLGLLICYDLEFPENARRLALAGAELILVPTANMQPYEFIADVTVRARAIENQCFVAYANYCGHEAELQYCGQSSIAAPNGSRPALAGLDEALIVGELDRQLLDDSRAAYNYLHDRRPELYDDLHKH\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_14230,AO356_14230,AO356_RS14250,WP_060740344.1,tr|A0A0N9WVY4|A0A0N9WVY4_PSEFL,lysine 2-monooxygenase (EC 1.13.12.2),Specifically important for: L-Lysine. this is the first step in the oxidation of lysine (SEED_correct),amine oxidase,Lysine 2-monooxygenase (EC 1.13.12.2),tryptophan 2-monooxygenase,MNKNNRHPADGKKPITIFGPDFPFAFDDWIEHPAGLGSIPAHNHGTEVAIVGAGIAGLVAAYELMKLGLKPVVYEASKMGGRLRSQAFNGAEGVIAELGGMRFPVSSTAFYHYVDKLGLETKPFPNPLTPASGSTVIDLEGQTYYAQKLADLPALFQEVADAWADALEDGSRFGDIQQAIRDRDVPRLKELWNTLVPLWDDRTFYDFVATSKAFAKLSFQHREVFGQVGFGTGGWDSDFPNSMLEIFRVVMTNCDDHQHLVVGGVEQVPHGIWNHVPERCAHWPEGTSLNSLHLGAPRSGVKRIARSADGRFSVTDVWENTREYAAVLVTCQSWLLTTQIECEEALFSQKMWMALDRTRYMQSSKTFVMVDRPFWKDKDPETGRDLMSMTLTDRLTRGTYLFDNGDDKPGVICLSYSWMSDALKMLPHPVEKRVKLALDALKKIYPKVDIAARIIGDPITVSWEADPHFLGAFKGALPGHYRYNQRMYAHFMQDDMPAEQRGIFIAGDDVSWTPAWVEGAVQTSLNAVWGIMKHFGGETHAENPGPGDVFHEIGPIALPE\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_17535,AO356_17535,AO356_RS17560,WP_060740818.1,tr|A0A0N7H2E9|A0A0N7H2E9_PSEFL,\"N-acetylglucosamine-specific PTS system, IIBC components (nagE)\",Specific phenotype on NAG as a carbon source. Not sure why SEED think s this includes the IIA component. (KEGG_correct),PTS N-acetyl-D-glucosamine transporter,\"PTS system, N-acetylglucosamine-specific IIA component (EC 2.7.1.69) / PTS system, N-acetylglucosamine-specific IIB component (EC 2.7.1.69) / PTS system, N-acetylglucosamine-specific IIC component (EC 2.7.1.69)\",\"PTS system, N-acetylglucosamine-specific IIB component ; PTS system, N-acetylglucosamine-specific IIC component\",MYQHFIEGLQRLGRALMLPIAILPIAGLLLRLGDTDLLDIAIIHDAGQAIFANLAMIFAIGIAVGFARDNNGTAGLAGAIGYLVMIATLKVLDASINMGMLAGIISGLLAGALYNRFKDIKLPEYLAFFGGRRFVPIVTGFSAVGLGVVFGLIWPPIQQGINGFGALLMESGSFGAFVFGVFNRLLIVTGLHHILNNMAWFIFGSFTDPATGAVVTGDLSRYFAGDPKGGQFMTGMFPVMLFGLPAACLAMYRNALPQRRKVMGGILLSMALTSFLTGVTEPIEFAFMFLAPLLFLVHALLTGVSMAVTNLLGIHLGFTFSGGFIDMVLGWGKSTNGWLVVPVGLAYAAIYYLVFDFCIRRFDLKTPGREEVPAGDKPAIAENQRAAAYIQALGGADNLITIGACTTRLRLDMVDRNKASDAQLKALGAMAVVRPGNGGSLQVVVGPMADSIADEIRLAVPSSLRPVTAPVPNAPAPTTPAALSSTEAQQWLDALGGQDNVLQLECVATSRLRVRLADDKGLSESRLKGLGCQGMSSLEDGVWHLLLGEKAPRLWQALDGLAHGRKVDAGA\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_17540,AO356_17540,AO356_RS17565,WP_060740819.1,tr|A0A0N9WA75|A0A0N9WA75_PSEFL,\"N-acetylglucosamine-specific PTS system, I, HPr, and IIA components (nagF)\",Specific phenotype on NAG as a carbon source. Not sure why SEED think s this includes the IIA component. (KEGG_correct),PTS N-acetyl-D-glucosamine transporter,,\"PTS system, fructose-specific IIA component ; phosphotransferase system, enzyme I, PtsI ; phosphocarrier protein FPr\",MPNNNKELILSAPLSGPVLTLANVPDAVFASGAMGDGIAIDPLNDTLYAPCDAEVIHVARTGHAVTLRADNGAELLLHLGLDTVELQGEGFSMLVKEGARVSHGQPLLRYDVDKVALRCKSLVSLLVITNGEHFQARPITLKGVKVGEPLLHILAKAVGQAEHHDQDSGIEVFGQVRIAHRGGLHARPAALVRQTAQGFKSRSQLHFSGKSASCDSVMGMMGLAITEQAQVHVSCRGSDAEAALQALLTTLSTALVEEAHASAPPPEPPRANAEEGVLHGVCAAPGLVTGPLVRLSGIQLPEDIGGHAIEEQRQRLSDALAQVRGEIHLTLEHARARQHRDEEAIFSAHLALLEDPVLLDAADLFIEQGSAAPHAWSRSIDTQCQVLQQLGSTLLAERANDLRDLRQRVLRVLLGEAWQFDVAAGAIVAAQELTPSDLLQLSAQGVAGVCMVEGGATSHVAILARGKGLPCLVALGDELLAQEQGQAVVLDADGGRLELTPTVERLAQVRQAQTRRTALRAQQQSLAHTPARTVDGVEVEVAANVASSAEAGESLANGADGVGLLRTEFLFVDRHTAPDEEEQRQAYQAVLEAMGDKPVIIRTIDVGGDKQLDYLPLPSEANPVLGLRGIRLAQVRPDLLDQQLRALLQTRPLDRCRILLPMVTEVDELLHIRKRLDALGSELGLSERPQLGVMVEVPAAALLAEQLAEHADFLSIGTNDLSQYTLAMDRDHAGLAARVDALHPALLRLIAQTCAGAAKHGRWVGVCGALASDPLATPVLIGLGVRELSVSPPQIGEIKDRVRHLDAAQCARLSNELLNLGSALAVRRACHRHWPLG\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_17670,AO356_17670,AO356_RS17695,WP_060740842.1,tr|A0A0N9XB41|A0A0N9XB41_PSEFL,L-alanine and D-alanine permease,Specific phenotype on D-alanine and L-alanine,D-alanine/D-serine/glycine permease,D-serine/D-alanine/glycine transporter,\"amino acid transporter, AAT family\",MPVGNHLPHGETAQGGPLKRELGERHIRLMALGACIGVGLFLGSAKAIEMAGPAIMLSYIIGGLAILVIMRALGEMAVHNPVAGSFSRYAQDYLGPLAGFLTGWNYWFLWLVTCVAEITAVAVYMGIWFPDVPRWIWALAALVSMGSINLIAVKAFGEFEFWFALIKIVTIIAMVIGGVGIIAFGFGNDGVALGISNLWAHGGFMPNGVSGVLMSLQMVMFAYLGVEMIGLTAGEAKNPQKTIPNAIGSVFWRILLFYVGALFVILSIYPWNEIGTQGSPFVMTFERLGIKTAAGIINFVVITAALSSCNGGIFSTGRMLYSLAQNGQAPAGFAKTSTNGVPRRALLLSIAALLLGVLLNYLVPEKVFVWVTSIATFGAIWTWVMILLAQLKFRKSLSASERAALKYRMWLYPVSSYLALAFLVLVVGLMAYFPDTRVALYVGPAFLVLLTVLFYTFKLQPTGDVQRAVRSAS\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_17790,AO356_17790,AO356_RS17815,WP_060740863.1,tr|A0A0N9WZ17|A0A0N9WZ17_PSEFL,alpha-ketoglutarate permease (MHS family),\"Specific phenotype on a-ketoglutarate. Not important for the utilization of other dicarboxylates (succinate or malate). 83% identical to PA5530, which is reported to transport a-ketoglutarate and also glutarate (PMC4097582). KEGG_correct\",MFS transporter,Dicarboxylate MFS transporter,\"MFS transporter, MHS family, alpha-ketoglutarate permease\",MDNSNALPIGSAAVPARERTTASRIKSIFSGSVGNMVEWYDWYVYAAFSLYFAKVFFPKGDTTAQLLNTAAIFAVGFLMRPIGGWLMGLYADRAGRKRALMASVYLMCFGSLIIALSPSYETIGVGAPILLVFARLLQGLSVGGEYGTSATYLSEMATKERRGFFSSFQYVTLISGQLIALGVLIVLQQFLTTEQLYAWGWRIPFAIGALCAVVALYLRRGMEETESFTKKEKSKESAMRTLLRHPKELMTVVGLTMGGTLAFYTYTTYMQKYLVNTVGMSISDSTTISAATLFLFMCLQPVIGGLSDKIGRRPILIAFGILGTLFTVPILTTLHTIQTWWGAFFLIMAALIIVSGYTSINAVVKAELFPTEIRALGVGLPYALTVSIFGGTAEYIALWFKSIGMETGYYWYVTACIAVSLLVYITMKDTRKHSRIVTD\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_18530,AO356_18530,AO356_RS18555,WP_060740975.1,tr|A0A0N9WU01|A0A0N9WU01_PSEFL,L-tyrosine transporter,Specific phenotype with tyrosine as the nitrogen source. Not important if phenylalanine is the nitrogen source.,aromatic amino acid transporter,Aromatic amino acid transport protein AroP,\"amino acid transporter, AAT family\",MSGQNSHSGELKRGLKNRHIQLIALGGAIGTGLFLGSAGVLKSAGPSMILGYAICGFIAFMIMRQLGEMIVEEPVAGSFSHFAHKYWGGFAGFLSGWNCWILYILVGMSELTAVGKYIHYWAPDIPTWVSAAAFFILINAINLANVKVFGEAEFWFAIIKVVAIVGMIALGSYLLVSGHGGPQASVTNLWSHGGFFPNGVSGLVMAMAIIMFSFGGLEMLGFTAAEADKPKTVIPKAINQVIYRILIFYIGALVVLLSLTPWDSLLATLNASGDAYSGSPFVQVFSMLGSNTAAHILNFVVLTAALSVYNSGTYCNSRMLLGMAEQGDAPKALSRIDKRGVPVRSILASAAVTLVAVLLNYLVPQHALELLMSLVVATLVINWAMISYSHFKFRQHMNQTQQTPLFKALWYPYGNYICLAFVVFILGVMLLIPGIQISVYAIPVWVVFMWVCYVIKNKRSARQELAVAAAK\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_18700,AO356_18700,AO356_RS18725,WP_060741003.1,tr|A0A0N9WZF1|A0A0N9WZF1_PSEFL,\"L-Arginine ABC transporter, periplasmic substrate-binding component\",Specific phenotype on L-Arginine.  (SEED_correct),ABC transporter substrate-binding protein,\"Arginine/ornithine ABC transporter, periplasmic arginine/ornithine binding protein\",,MKKLVLLGALALSVLSLPTFADEKPLKIGIEAAYPPFASKAPDGSIVGFDYDIGNALCEEMKVKCVWVEQEFDGLIPALKVRKIDAILSSMSITEDRKKSVDFTNKYYNTPARLVMKAGTQVSDNLAELKGKNIGVQRGSIHERFAREVLAPLGAEIKPYGSQNEIYLDVAAGRLDGTVADATLLDDGFLKTDAGKGFAFVGPAFTDEKYFGDGIGIAVRKGDALKDKINGAITALRENGKYKQIQDKYFAFDIYGK\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_18705,AO356_18705,AO356_RS18730,WP_060741004.1,tr|A0A0N9XBK6|A0A0N9XBK6_PSEFL,\"L-Arginine ABC transporter, permease component 2\",Specific phenotype on L-Arginine. (SEED_correct),ABC transporter,\"Arginine/ornithine ABC transporter, permease protein AotQ\",arginine/ornithine transport system permease protein,MLKGYGAVILDGAWLTLELALSSMALAIVLGLIGVALRLSPVRWLAWLGDLYSTVIRGIPDLVLILLIFYGGQDLLNRVAPMLGYDDYIDLNPLAAGIGTLGFIFGAYLSETFRGAFMAIPKGQAEAGMAYGMSGFQVFFRVLVPQMIRLAIPGFTNNWLVLTKATALISVVGLQDMMFKAKQAADATREPFTFFLAVAAMYLVITSVSLLALRHLEKRYSVGVRAADL\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_18710,AO356_18710,AO356_RS18735,WP_060741005.1,tr|A0A0N9WA12|A0A0N9WA12_PSEFL,\"L-Arginine ABC transporter, permease component 1\",Specific phenotypes on L-Arginine; L-Arginine. (SEED_correct),amino acid ABC transporter permease,\"Arginine/ornithine ABC transporter, permease protein AotM\",,MIFDYNVIYEALPLYFSGLLTTLKLLALSLFFGLLAALPLGLMRVSKQPIVNMTAWLYTYVIRGTPMLVQLFLIYYGLAQFAIVRESFLWPWLSSATFCACLAFAINTSAYTAEIIAGSLRATPNGEIEAAKAMGMSRYKLYRRILLPSALRRALPQYSNEVIMMLQTTSLASIVTLIDITGAARTVNAQYYLPFEAYITAGAFYLCLTFILVRLFKLAERRWLGYLAPRKH\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_18715,AO356_18715,AO356_RS18740,WP_060741006.1,tr|A0A0N9X1K7|A0A0N9X1K7_PSEFL,\"L-Arginine ABC transporter, ATPase component\",Important for utiliizing L-arginine. Detrimental on L-lysine which might indicate that it leaks lysine. (SEED_correct),amino acid transporter,\"Arginine/ornithine ABC transporter, ATP-binding protein AotP\",,MYKLEVQDLHKRYGSHEVLKGVSLKAAAGDVISIIGSSGSGKSTFLRCINLLEQPHAGKILLNNEELKLVAGKDGAMKAADPKQLQRMRSRLSMVFQHFNLWSHMTALENIMEAPVHVLGVAKAEAREKAEHYLNKVGVAHRKDAYPGHMSGGEQQRVAIARALAMEPEVMLFDEPTSALDPELVGDVLKVMQALAVEGRTMVVVTHEMGFAREVSNQLVFLHKGIVEESGNPREVLVNPQSERLQQFLSGSLK\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_18980,AO356_18980,AO356_RS19005,WP_060741049.1,tr|A0A0N9WU67|A0A0N9WU67_PSEFL,sodium:C4-dicarboxylate symporter (dctA),\"Important for utilization of malate, succinate, or fumarate (all C4 dicarboxylates) as carbon sources. 81% identical to PA1183 from P. aeruginosa (PMC3165536), which is also involved in growth with these substrates. KEGG_correct\",C4-dicarboxylate transporter,,aerobic C4-dicarboxylate transport protein,MTTRQPLYKSLYFQVIVAIAIGILLGHFYPQTGVALKPFGDGFIKLIKMVIAPIIFCTVVSGIGGMQNMKSVGKTGGYALLYFEIVSTIALLIGLVVVNVVQPGAGMHIDVSTLDTSKIAGFISAGKDQSIIAFILNVIPNTIVGAFANGDILQVLMFSVLFGFALHRLGAYGKPVLDFIDRFAHVMFIIINMIMKLAPLGAFGAMAFTIGAYGVGSLVQLGQLMICFYITCVVFVLVVLGAICRAHGFSVIKLIRYIREELLIVLGTSSSESALPRMLIKMERLGAKKSVVGLVIPTGYSFNLDGTSIYLTMAAVFIAQATDTPMDLTHQITLLLVLLLSSKGAAGVTGSGFIVLAATLSAVGHLPVAGLALILGIDRFMSEARALTNLVGNAVATIVVAKWVKELDEDQLQTELASGGRGISDVREDDEQIAAAQIAAAETSAPGTVK\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_19460,AO356_19460,AO356_RS19485,WP_060741122.1,tr|A0A0N9W5Z8|A0A0N9W5Z8_PSEFL,allantoinase (EC 3.5.2.5),\"Specifically important for: Inosine. This protein is similar to hpxB from Klebsiella, which is allantoinase, an step in the degradation of purines such as adenine or hypoxanthine (inosine is the nucleoside of hypoxanthine). See PMID:19060149\",allantoinase,Uricase (urate oxidase) (EC 1.7.3.3),,VSADYPRDLIGYGNNPPHPQWPGNARIALSFVLNYEEGGERNVLHGDKESEAFLSEMVAAQPLQGERNMSMESLYEYGSRAGVWRVLKLFKAFDIPLTIFAVAMAAQRHPDVIRAMVAAGHEICSHGYRWIDYQYMDEAQEREHMLEAIRILTEITGERPLGWYTGRTGPNTRRLVMEEGGFLYDSDTYDDDLPYWEPNTPNGKPHLVIPYTLDTNDMRFTQVQGFNKGDDFFQYLKDAFDVLYAEGAEAPKMLSIGLHCRLIGRPARLASLKRFLEYVKGHEHVWFSRRVDIARHWQQAHPYQGASNPGASK\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_19465,AO356_19465,AO356_RS19490,WP_060741123.1,tr|A0A0N9WUD7|A0A0N9WUD7_PSEFL,5-hydroxyisourate hydrolase [EC: 3.5.2.17],Specifically important for: Inosine. 5-hydroxyisourate is an intermediate in purine degradation (KEGG_correct),5-hydroxyisourate hydrolase,,5-hydroxyisourate hydrolase,MGRLTTHVLDAAHGCPGSAIKVELYRVEGSQLQLVASAQTNSDGRCDAPLLQGEDYRSGVYQLQFHAGDYYRARGVQLPEPAFLDVVVLRFGISAEQEHYHVPLLISPYAYSTYRGS\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_20235,AO356_20235,AO356_RS20260,WP_060741243.1,tr|A0A0N9WBN8|A0A0N9WBN8_PSEFL,L-arabinolactonase (EC 3.1.1.15) / D-galactonolactonase (EC 3.1.1.25),\"Specifically important for: L-Arabinose; D-Galactose. The SEED prediction explains the phenotype on L-arabinose but not on D-galactose. L-arabinose and D-galactose are chemically similar and some dehydrogenases act on both substrates, so it is not surprising that a lactonase would hydrolase both of their products. The dehydrogenase is probably AO356_20240. (SEED_correct)\",gluconolaconase,L-arabinolactonase (EC 3.1.1.15),,MKWTAVTEHRAKLGEGPFWDAPTQALYWVDIAGKQALRLIGANVEIWQMPEHVSAFIPTQSGDALVTLSSGVYRLDLDSPGLEPRLTLLCMADPQPGNRANEARCDPQGQLWLGTMQNNIGAEGEDLPIEHRSGGLFRVGSDGRVLPLLRGLGIPNTLLWSPDGTTVYFGDSLDGTVYRHFIYPEGNLAPAEVWFGPHPRGGPDGSAMDARGYIWNARWDGSCLLRLTPDGQVDRVIELPVSRPTSCVFGGEDLKTLYITSAASPLGHPLDGAVLSMRVDVPGVACTRFAG\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_20240,AO356_20240,AO356_RS20265,WP_060741244.1,tr|A0A0N7H2L2|A0A0N7H2L2_PSEFL,L-arabinose 1-dehydrogenase (EC 1.1.1.46),\"This is specifically important for L-arabinose utilization. Some closely related proteins in other Pseudomonas are important for D-galactose utilization as well, so this is probably also a D-galactose 1-dehydrogenase. However mutants in this gene had little phenotype in D-galactose (two replicates). No other dehydrogenase was identified as specifically important on D-galactose.\",short-chain dehydrogenase,3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100),,MAEPLVLPPVPEPPKGERLKDKVVLLTGAAQGIGEAIVAAFASQQARLVISDIQAQKVEAVAAHWRERGADVHALQADVSKQQDLQAMARRAVELHGRIDVLVNCAGVNVFRDPLEMTEEDWRRCFAIDLDGAWYGCKAVLPQMIEQGVGSIINIASVHSSHIIPGCFPYPVAKHGLLGLTRALGIEYAPKGVRVNAIAPGYIETQLNVDYWNGFADPHAERQRALDLHPPRRVGQPIEVAMTAVFLASDEAPFINASCITIDGGRSVMYHD\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_21495,AO356_21495,AO356_RS21520,WP_060741450.1,tr|A0A0N9WV93|A0A0N9WV93_PSEFL,gamma-glutamylputrescine oxidase (EC 1.4.3.-),Specifically important for: Putrescine Dihydrochloride. part of the pathway for oxidizing putrescine via gamma-glutamyl-putrescine (KEGG_correct),gamma-glutamylputrescine oxidoreductase,Nucleoside-diphosphate-sugar epimerases,gamma-glutamylputrescine oxidase,MANTPYPESYYAASANPVPPRPALQDDVETDVCVIGAGYTGLSSALFLLENGFKVTVLEAAKVGFGASGRNGGQIVNSYSRDIDVIERSVGPQQAQLLGNMAFEGGRIIRERVAKYQIQCDLKDGGVFAALTAKQMGHLESQKRLWERFGHTQLELLDQRRIREVVACEEYVGGMLDMSGGHIHPLNLALGEAAAVESLGGVIYEQSPAVRIERGASPVVHTPQGKVRAKFIIVAGNAYLGNLVPELAAKSMPCGTQVIATEPLGDELAHSLLPQDYCVEDCNYLLDYYRLTGDKRLIFGGGVVYGARDPANIEAIIRPKMLKAFPQLKDVKIDYAWTGNFLLTLSRLPQVGRLGDNIYYSQGCSGHGVTYTHLAGKVLAEALRGQAERFDAFADLPHYPFPGGQLLRTPFAAMGAWYYGLRDKLGF\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_21640,AO356_21640,AO356_RS21665,WP_060741475.1,tr|A0A0N9WCD3|A0A0N9WCD3_PSEFL,acetyl-CoA C-acetyltransferase [EC: 2.3.1.9],\"Specifically important for: L-Lysine; Carnitine Hydrochloride. acetyl-CoA acetyltransferase is required for the breakdown of acetoacetyl-CoA, which is an intermediate in lysine degradation (via glutaryl-CoA) and in carnitine degradation (from the beta cleavage enzyme, see PMID: 24240508) (KEGG_correct)\",acetyl-CoA acetyltransferase,,acetyl-CoA C-acetyltransferase,MQEVVIVAATRTAIGSFQGSLAAIPAPELGAAVIRRLLEQTGLSGEQVDEVILGQVLTAGSGQNPARQASILAGLPHAVPALTLNKVCGSGLKALHLGAQAIRCGDAEVIIAGGMENMSLAPYVLPAARTGLRMGHAKMIDSMITDGLWDAFNDYHMGITAENLVDKYGISREEQDAFAAASQQKAVAAIEGGRFADEITPILIPQRKGDPVAFATDEQPRAGTTAESLGKLKPAFKKDGSVTAGNASSLNDGAAAVILMSAEKAKALGLPVLAKISAYANAGVDPAIMGIGPVSATRRCLDKAGWSLEQLDLIEANEAFAAQSLAVARELKWDMDKVNVNGGAIALGHPIGASGCRVLVSLLHEMIKRDAKKGLATLCIGGGQGVALALERA\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_23175,AO356_23175,AO356_RS23200,WP_060741734.1,tr|A0A0N9X3S4|A0A0N9X3S4_PSEFL,malonate-semialdehyde dehydrogenase (acetylating) (EC 1.2.1.18),\"Specifically important for: m-Inositol. 3-oxopropionate or malonate semialdehyde is an intermediate in myo-inositol catabolism (SEED_correct, although the name and EC number are confusing)\",methylmalonate-semialdehyde dehydrogenase,Methylmalonate-semialdehyde dehydrogenase [inositol] (EC 1.2.1.27),methylmalonate-semialdehyde dehydrogenase,MSDAPVVGHYIDGRIQASDNARLSNVFNPATGAVQARVALAEPSTVDAAVASALAAFPAWSEQSSLRRSRVMFKFKELLDRHHDELAQIISREHGKVLSDAHGEVTRGIEIVEYACGAPNLLKTDFSDNIGGGIDNWNLRQPLGVCAGVTPFNFPVMVPLWMIPLALVAGNCFILKPSERDPSASLLMARLLTEAGLPDGVFNVVQGDKVAVDALLQHPDIEAISFVGSTPIAEYIHQQGTAQGKRVQALGGAKNHMIVMPDADLDQAADALIGAAYGSAGERCMAISIAVAVGDVGDELIAKLLPRIDQLKIGNGQQPGTDMGPLVTAEHKAKVEGFIDAGVAEGARLIVDGRGFKVPGAEQGFFVGATLFDQVTAEMSIYQQEIFGPVLGIVRVPDFATAVALINAHEFGNGVSCFTRDGGIARAFARSIKVGMVGINVPIPVPMAWHSFGGWKRSLFGDHHAYGEEGLRFYSRYKSVMQRWPDSIAKGPEFSMPTAQ\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_24585,AO356_24585,AO356_RS24610,WP_060741989.1,tr|A0A0N9WWL3|A0A0N9WWL3_PSEFL,L-arabonate dehydratase (EC 4.2.1.25),Specifically important for: L-Arabinose. L-arabonate is an intermediate in the oxidation of L-arabinose (SEED_correct),dihydroxy-acid dehydratase,L-arabonate dehydratase (EC 4.2.1.25),dihydroxy-acid dehydratase,MSDKKPSLRSAQWFGTADKNGFMYRSWMKNQGIADHQFHGKPIIGICNTWSELTPCNAHFRQIAEHVKRGVIEAGGFPVEFPVFSNGESNLRPTAMLTRNLASMDVEEAIRGNPIDGVVLLTGCDKTTPALLMGAASCDVPAIVVTGGPMLNGKHKGQDIGSGTVVWQLSEQVKAGTITIDDFLAAEGGMSRSAGTCNTMGTASTMACMAEALGTSLPHNAAIPAVDARRYVLAHMSGMRAVEMVREDLKLSKILTKEAFENAIRVNAAIGGSTNAVIHLKAIAGRIGVQLDLDDWTRIGRGMPTIVDLQPSGRFLMEEFYYAGGLPAVLRRLGEANLIPNPNALTVNGKSLGENTKDAPIYGQDEVIRTLDNPIRADGGICVLRGNLAPLGAVLKPSAATAELMQHRGRAVVFENFDEYKARINDPELDVDANSILVMKNCGPKGYPGMAEVGNMGLPAKLLAQGVTDMVRISDARMSGTAYGTVVLHVAPEAAAGGPLAAVKEGDWIELDCASGRLHLDIPDAELAARLADLAPPQQLLVGGYRQLYIDHVLQADQGCDFDFLVGCRGAEVPRHSH\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_24595,AO356_24595,AO356_RS24620,WP_060741991.1,tr|A0A0N9WN17|A0A0N9WN17_PSEFL,2-dehydro-3-deoxy-L-arabinonate dehydratase (EC 4.2.1.43),\"# Specifically important in carbon source L-Arabinose. Similar to PA2216 from Pseudomonas aeruginosa (see PMC:PMC4038344) and to gguC or araD1 (Atu2345) from Agrobacterium tumefaciens (see PMC: PMC3232879), which also have this activity. In Agrobacterium, this reaction is proposed to be a step in L-arabinose oxidation. (Note that 2-keto-3-deoxy-L-lyxonate and 2-keto-3-deoxy-L-arabinonate are the same compound.)\",FAH family protein,SUGAR TRANSPORTER,,MRLVQFELSNGERRVGVVDGDQVREVQGAGSVRELALAAIEAGVKLEQQVDSLGLGTGHDYARLLGELRILPPLDHPDPAHLLVSGTGLTHLGSASARDKMHQQAGDEATMTDTMRIFKWGVEGGKPQAGQTGVQPEWFYKGDGSIVVRPGHPFPLPPFAEDAGEEPEISGLYVIGHDGKPYRLGFAVGNEFSDHVMERKNYLYLAHSKLRSCSFGPELRVGELPQHLSGTSRILRNGEVLWQNEFLSGEANMCHSLENLEFHHFKYSQFLRPGDVHVHFFGTATLSFADGIRTQPGDVFEISQAEFGAPLVNGIAPVDAVFNPGTIGTL\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_28020,AO356_28020,AO356_RS28045,WP_060742590.1,tr|A0A0N7H343|A0A0N7H343_PSEFL,ethanol oxidation regulatory protein ercA,Specifically important for: Ethanol. Similar to ercA (PA1991) which apparently has a regulatory role (PMCID: PMC3754586) rather than being directly involved in catabolism. AO356_28055 is probably the main ethanol dehydrogenase. (not an enzyme),alcohol dehydrogenase,Alcohol dehydrogenase (EC 1.1.1.1); Acetaldehyde dehydrogenase (EC 1.2.1.10),,MSHVTEKMSLSPLRKFVSPEIMFGAGCRHNVGNYAKTFGARKVLIVTDPGVIAAGWVADVEASLQAQGIDYCIYSAVSPNPRVEEVMLGADLYRENHCDVIVAVGGGSPMDCGKGIGIVVAHGRSILEFEGVDTLNVPSPPLILIPTTAGTSADVSQFVIISNQQERMKFSIVSKAAVPDVSLIDPETTLSMDPFLSACTGIDALVHAIEAFVSTGHGPLTDPHALEAMRLINGNLVQMIANPADIALREKIMLGSMQAGLAFSNAILGAVHAMSHSLGGFLDLPHGLCNAVLVEHVVAFNYNSAPERFKVIAETLGIDCRGLNHREIRTRLVEHLIALKHTIGFHETLGLHGVSTSDIPFLSQHAMHDPCILTNPRESSQRDVEVVYGEAL\r\ntransporters,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_28540,AO356_28540,AO356_RS28565,WP_060742692.1,tr|A0A0N9WPT3|A0A0N9WPT3_PSEFL,D-mannose and D-mannitol transporter,Specific phenotype on D-mannose and D-mannitol as carbon sources. No other transporter for these substrates was apparent in the fitnes data.,hexuronate transporter,Hexuronate transporter,,MFGQGRSLIIIMLFLAGVINYLDRSALSVAAPFIQKDYGLSTGEMGMIFSSFFVGYAAFNFIGGWAADRYGAKTTLLLAMVLWSLFSGLTVLTVGFASLVLIRILFGMGEGPLSVTTSKMVNNWYTPKRRARAIGASMSGTPLGGAISGPVVGFIAVTYGWKISFIIIMLIGLVWAAVWFKFVKERPEGEGAEDILRAEGQGELAAQPVFPLRFYLKQPTVLFTSLAFFSYNYTLFFFLTWFPSYLTMAHGLNVKDMSIATVIPWVLGFLGLALGGFISDFVFKKTGRMMFSRKVVLVTCLLACAVCIACAGMVTTLYPAVILVALAVFFLYLTGAIYWAIIQDTVPAARVGGVSGFMHFLANTSGIVGPTLTGFLVQFTGSFTSAFLLAGLLTVIGAVCVARYVKPLSVADTGNAAAQSPQPVSALGRS\r\ncatabolism,Pseudomonas fluorescens FW300-N2C3,pseudo5_N2C3_1,AO356_28590,AO356_28590,AO356_RS28615,WP_060742701.1,tr|A0A0N7H357|A0A0N7H357_PSEFL,Sucrose-6-phosphate hydrolase (EC 3.2.1.B3),\"Specifically important for: Sucrose. This gene is cofit with a sugar PTS system (AO356_07325; annotated as fructose specific but also apparently active on sucrose), which suggests that sucrose-6-phosphate is the correct substrate. The KEGG annotation (beta-fructofuranosidase) is broader but also includes this activity. (SEED_correct)\",glycosyl hydrolase family 32,Sucrose-6-phosphate hydrolase (EC 3.2.1.B3),beta-fructofuranosidase,MTLSLNSLSNPMPASLEHAQQALRDGLSRLIHDYRPDYHLAPPTGWMNDPNGVVFFRGEYHVFYQHHPFDAKWGPMYWGHAKSADLVHWQHLPIALAPGDDFDRDGCFSGSAVVCGDTLALIYTGHTWLGEVGDERLIRQVQCLATSVDGVRFVKHGAVIEDAPQAAIMHFRDPKVWQEDGYWYLIAGARLGDTPLLPLYRSTDLRAWEFLDYVSRGTDGDGYMWECPDLFRLDGRDVLLYSPQGMQPAGYERLNKYQTGYRIGHLDSEWHFSGGPFIELDNGHDFYAAQTLVAADGRRLVWAWLDMWESPMPSQAHHWCGMLGLPRELELQGDRLGVFPARELVALRQAPLPSIAPWGESGSRWVPQVSGDRLEIHVHLDLLDCTEGHLGIALRCSADEQEQTLLYYDASLRRLVLDRSRSGAQVSGQRSVPIEPAQTQLHLRVFLDRSSIEVFEQSGRFSLSSRLYPRPDSLGVKLLASGTGGHVAISNAWPLASGWL\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_1146,,TK06_RS05765,WP_063321224.1,tr|A0A159ZWN4|A0A159ZWN4_PSEFL,2-methylbutanoyl-CoA dehydrogenase (EC 1.3.8.1),Specifically important for: L-Isoleucine. 2-methylbutanoyl-CoA is an intermediate in isoleucine catabolism.,Butyryl-CoA dehydrogenase (EC 1.3.99.2),Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MLATEEQTQIRDMARQFAEERLKPFAAEWDREHRFPREAIDEMAELGFFGMLVPEQWGGCDTGYLAYAMTLEEIAAGDGACSTIMSVHNSVGCVPILKFGNDEQKAKFLTPLASGAMLGAFALTEPQAGSDASSLKTRARLEGDHYVLNGCKQFITSGQNAGVVIVFAVTDPSAGKRGISAFIVPTDSPGYSVARVEDKLGQHASDTCQILFEDLKVPVGNRLGEEGEGYKIALANLEGGRVGIAAQAVGMARAAFEAARDYARERSSFGKPIIEHQAVAFRLADMATQIAVARQMVHYAAALRDSGQPALVEASMAKLFASEMAEKVCSMALQTLGGYGYLNDFPLERIYRDVRVCQIYEGTSDIQRMVISRNL\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_1960,,TK06_RS09830,WP_063321903.1,tr|A0A159ZWP3|A0A159ZWP3_PSEFL,\"ABC transporter for D-sorbitol, ATPase component\",# Specifically important in carbon source D-Sorbitol,\"Various polyols ABC transporter, ATP-binding component\",\"Various polyols ABC transporter, ATP-binding component\",,MATLKIENLKKGFEGLSIIKGIDLEVKDKEFVVFVGPSGCGKSTLLRLIAGLEDVTSGTIELDGRDITEVTPAKRDLAMVFQTYALYPHMTVRKNLSFALDLAGEKKPDVERKVAEAARILELGSLLDRKPKQLSGGQRQRVAIGRAIVRNPKIFLFDEPLSNLDAALRVQTRLELSRLHKELQATMIYVTHDQVEAMTLATKVVVLNAGRIEQIGSPLELYHHPANLFVAGFLGTPKMGFLQATVHAVHASGVEVRFASGTTLLIPRDSSALSVGQSVTIGIRPEHLTLSAEGQVPVTTDVTERLGSDTFCHVNVDSGESLTVRVQGDCEVPYAARRYLTLDVAHCHLFDESGLSVSPAASRAA\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_1961,,TK06_RS09835,WP_063321904.1,tr|A0A159ZW38|A0A159ZW38_PSEFL,\"ABC transporter for D-sorbitol, permease component 2\",# Specifically important in carbon source D-Sorbitol.  We do not have fitness data for the putative first subunit Pf6N2E2_1962.,\"Various polyols ABC transporter, permease component 2\",\"Various polyols ABC transporter, permease component 2\",sorbitol/mannitol transport system permease protein,MMTLKQSRSLQSLLLGTLAWVAALLLFFPIFWMVLTSFKTEIDAFATPPQFIFMPTLENYLHIQERSDYFHFAWNSVLISFSATALCMLIAVPAAYSMAFYETKRTKQTLLWMLSTKMLPPVGVLMPIYLLAKGAGLLDTRIALIVIYTLINLPIVVWMIYTYFKDIPREILEAARLDGATLGQEMLRVLLPISKGGLASTMLLSMILCWNEAFWSLNLTSSSAAPLTALIASYSSPEGLFWAKLSAVSTLACAPILIFGWISQKQLVRGLSFGAVK\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_1963,,TK06_RS09845,WP_063321905.1,tr|A0A159ZYG7|A0A159ZYG7_PSEFL,\"ABC transporter for D-sorbitol, periplasmic substrate-binding component\",# Specifically important in carbon source D-Sorbitol,\"Various polyols ABC transporter, periplasmic substrate-binding protein\",\"Various polyols ABC transporter, periplasmic substrate-binding protein\",,MKITNALILSTGLSFALASHAAETLTIATVNNGDMIRMQRLSKVFEQQHPDIKLSWVVLEENVLRQRLTTDIATQGGQFDVLTIGTYETPMWGAKNWLEPMKDLPAGYDVDDIFPAVRQGLSVNDTLYALPFYGESTITYYRTDLFKAAGLTMPAQPTWSQLGEFAAKLNDPSKDQYGMCLRGKAGWGENMALLTTMANAFGARWFDEKWQPELNGPEWKAAATFYVDTLKKYGPPGVSSNGFNETLALFNSGKCAIWVDASVAGSFTTDKEQSRVVDSVGFAPAPTEVTDKGSSWLYAWSLAIPATSKHKEAAKSFVTWATSKEYIQLVTDKDGITNVPPGTRISTYSDAYLKAAPFAQVTLQMMKHADPSQPSAKPVPYVGIQYVVIPEFQSIGTSVGKLFSAALTGQMSVEQALASAQSTTEREMKRAGYPKK\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2047,,TK06_RS10360,WP_063321988.1,tr|A0A159ZWW4|A0A159ZWW4_PSEFL,D-glucosaminate dehydratase (EC 4.3.1.9),\"Specifically important for: D-Glucosamine Hydrochloride. This enzyme had not previously been linked to a gene. This is the second step in catabolism of glucosamine, and the 'beta' form of the enzyme was expected to be PLP-dependent and about this size. Iwamoto et al (2003) purified a non-specific 'alpha' enzyme for this reaction (PMID: 12686150)\",D-serine deaminase (EC 4.3.1.18),D-serine deaminase (EC 4.3.1.18),,MSSVIPNAGVEKGAATVGAHLLKDVSLPALVLHRAALEHNIRWMQAFVTDSGAELAPHGKTSMTPALFRRQLDAGAWGLTLASAVQTRAAYAHGVRRVLMANQLVGTPNMALIADLLADPAFEFHCMVDHPDNVADLGAFFASRGMKLNVMIEYGVVGGRCGCRTEAEVLALAEAIQAQPALALTGIEGYEGVIHGDHAISGIRAFAASLVRLAVQLQDNGAFAIDKPIITASGSAWYDLIAESFEAQNAHGRFLSVLRPGSYVAHDHGIYKEAQCCVLERRSDLHEGLRPALEVWAHVQSLPEPGFAVIALGKRDVAYDAGLPVPLKRYTPGSDSVTGDDVSGCKVTAVMDQHAFMNVAAGVELRVGDIISFGTSHPCLTFDKWRVGCLVDEQLRVVESMETCF\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2051,,TK06_RS10380,WP_028236639.1,tr|A0A0N9WS63|A0A0N9WS63_PSEFL,\"ABC transporter for D-Glucosamine Hydrochloride, permease component 1\",Specific phenotypes on D-Glucosamine Hydrochloride.,\"Amino acid ABC transporter, permease protein\",\"Amino acid ABC transporter, permease protein\",polar amino acid transport system permease protein,MYESPSWLHELWVARDTLWAGFLTSVQCSLLAIVLGTLIGLVAGLVLTYGRTWMRAPFRFYVDLIRGTPVFVLVLACFYMAPALGWQIGAFQAGVLGLTLFCGSHVAEIVRGALQALPRGQMEASQAIGLTFYQSLGYVLLPQALRQILPTWVNSSTEIVKASTLLSVIGVAELLLSTQQIIARTFMTLEFYLFAGFLFFIINYAIELLGRHIEKRVALP\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2052,,TK06_RS10385,WP_014338685.1,tr|A0A159ZWH7|A0A159ZWH7_PSEFL,\"ABC transporter for D-Glucosamine Hydrochloride, permease component 2\",Specific phenotypes on D-Glucosamine Hydrochloride; D-Glucosamine Hydrochloride. ko:K02029 : polar amino acid transport system permease protein,\"amino acid ABC transporter, permease protein\",\"amino acid ABC transporter, permease protein\",polar amino acid transport system permease protein,MNYQLNFAAVWRDFDTLLAGLGLGLSLALVSIAIGCVIGLAMAFALLSKHRVLRVLASVYVTVIRNTPILVLILLIYFALPSLGIRLDKLPSFVITLSLYAGAYLTEVFRGGLLSIHKGQREAGLAIGLGEWQVKAYVTVPVMLRNVLPALSNNFISLFKDTSLAAAIAVPELTYYARKINVESYRVIETWLVTTALYVAACYLIAMLLRYFEQRLAIRR\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2053,,TK06_RS10390,WP_063321992.1,tr|A0A159ZUY1|A0A159ZUY1_PSEFL,\"ABC transporter for D-Glucosamine, periplasmic substrate-binding component\",Specific phenotype on D-Glucosamine Hydrochloride.,\"Glutamine ABC transporter, periplasmic glutamine-binding protein (TC 3.A.1.3.2)\",\"Glutamine ABC transporter, periplasmic glutamine-binding protein (TC 3.A.1.3.2)\",,MQRRPSLFKTCVFLFAATVAAVGVAQAADSKLDSVLQRGKLIVGTGSTNAPWHFQGADGKLQGFDIDIARMVAKGLFNDPEKVEFVVQSSDARIPNLLTDKVDMSCQFITVTASRAQQVAFTLPYYREGVGLLLPANSKYKEIEDLKAAGDDVTVAVLQNVYAEELVHQALPKAKVDQYDSVDLMYQAVNSGRADAAATDQSSVKYLMVQNPGRYRSPAYAWSPQTYACAVKRGDQDWLNFVNTTLHEAMTGVEFPTYAASFKQWFGVELPSPAIGFPVEFK\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2111,,TK06_RS10665,WP_063322042.1,tr|A0A159ZX12|A0A159ZX12_PSEFL,\"Dehydrocarnitine CoA-transferase and acetoacetate CoA-transferase, subunit A\",\"Very important on cartinine and also important on L-phenylalanine and L-leucine. Acts on dehydrocarnitine during carnitine catabolism to give dehydrocarnitine-CoA. Probably also acts on acetoacetate, which is an intermediate in the degradation of phenylalanine (via tyrosine and  homogentistate) and leucine (from HMG-CoA lyase). Both substrates are 3-oxoacids, but not sure if succinyl-CoA is the source of the CoA as annotated. Note that acetoacetyl-CoA is probably cleaved to acetyl-CoA by _2113 (downstream). Similar to DhcA = PA1999.\",Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit A (EC 2.8.3.5),Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit A (EC 2.8.3.5),3-oxoacid CoA-transferase subunit A,MAGFDKRVSSYEEALEGLKDGMTVIAGGFGLCGIPENLIAEIKRKGIRDLTVVSNNCGVDGFGLGVLLEDRQIRKVVASYVGENALFEQQLLSGEIEVVLTPQGTLAEKMRAGGAGIPAFFTATGVGTPVAEGKEVREFHGRQYLMEESITGDFAIVKGWKADHFGNVIYRHTAQNFNPLAATAGKITVVEVEEIVEPGELDPTQIHTPGIYVDRVICGTFEKRIEQRTVRK\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2112,,TK06_RS10670,WP_003180355.1,tr|A0A0D9AX93|A0A0D9AX93_PSEFL,\"Dehydrocarnitine CoA-transferase and acetoacetate CoA-transferase, subunit B\",\"Specifically important for: Carnitine Hydrochloride; L-Phenylalanine. Also important on L-leucine. Converts dehydrocarnitine to dehydrocarnitine-CoA during carnitine catabolism. Probably also acts on acetoacetate, which is an intermediate in the degradation of phenylalanine (via tyrosine and  homogentistate) and leucine (from HMG-CoA lyase). Both substrates are 3-oxoacids, but not sure if succinyl-CoA is the source of the CoA as annotated. Similar to DhcB = PA2000.\",Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit B (EC 2.8.3.5),Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit B (EC 2.8.3.5),3-oxoacid CoA-transferase subunit B,MALSREQMAQRVAREMQDGYYVNLGIGIPTLVANYIPEGMEVMLQSENGLLGMGAFPTEAEVDADMINAGKQTVTARIGASIFSSAESFAMIRGGHIDLTVLGAFEVDVEGNIASWMIPGKLVKGMGGAMDLVAGAENIIVTMTHASKDGESKLLPRCSLPLTGAGCIKRVLTDLAYLEIQDGAFILKERAPGVSVEEIVAKTAGKLIVPDHVPEMQFAAQ\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2632,,TK06_RS13235,WP_063322430.1,tr|A0A159ZXT3|A0A159ZXT3_PSEFL,tyrosine aminotransferase (EC 2.6.1.57),Specifically important for: L-Phenylalanine. Phenylalanine is first hydroxylated to tyrosine (Pf6N2E2_2630) and then transaminated. KEGG has same EC# but less specific. (KEGG_correct),Aspartate aminotransferase (EC 2.6.1.1),Aspartate aminotransferase (EC 2.6.1.1),aromatic-amino-acid transaminase,MHFDAIGRVPGDPILGLMEAYGADANPSKFDLGVGVYKDAQGLTPILQSVKQAEQRLVDRQTTKTYIGGHGDAAFGQLINELVLGADSPLISAKRAGATQTPGGTGALRLSADFIAQCLPGRGVWLSNPTWPIHETIFAAAGVKVGHYPYVGADNRLDFEAMLATLNQAPKGDVVLLHACCHNPTGFDLSHEQWRQVLEVVRDRDLLPLIDFAYQGFGDGLEQDAWAVRLFAQALPEVLVTSSCSKNFGLYRDRTGALIVCARDAEKLVDIRSQLANIARNLWSTPPDHGAAVVATILGNPELKSLWADEVQAMRLRIAQLRSGLLEALEPHGLRERFAHIGVQRGMFSYTGLTPEQVKHLRERHSVYMVGTGRANVAGIDATRLDLLAEAIADACK\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2958,,TK06_RS14820,WP_063322689.1,tr|A0A159ZWV1|A0A159ZWV1_PSEFL,\"ABC transporter for L-Lysine, periplasmic substrate-binding component\",Specific phenotype on L-Lysine; Gly-Glu. There is another dedicated transporter for the dipeptide gly-glu so the basis of that phenotype is unclear.,Lysine-arginine-ornithine-binding periplasmic protein precursor (TC 3.A.1.3.1),Lysine-arginine-ornithine-binding periplasmic protein precursor (TC 3.A.1.3.1),lysine/arginine/ornithine transport system substrate-binding protein,MKKALLTLSALALCMAAGVATAKEYKELRFGVDPSYAPFESKAADGSLVGFDIDLGNAICAELKVKCKWVESDFDGMIPGLKANKFDGVISSMTVTPAREKAIDFSSELFSGPTAYVFKKGSGLSEDVASLKGKTVGYEQGTIQEAYAKAVLDKAGVKTQAYQNQDQVYADLTSGRLDAAIQDMLQAELGFLKSPKGEGYEVSKPVDSELLPSKTAIGIRKGNSELKALLNKGIKALHDDGKYAEIQKKHFGDLNLYSGK\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2959,,TK06_RS14825,WP_063322690.1,tr|A0A159ZWN7|A0A159ZWN7_PSEFL,\"ABC transporter for L-Lysine, permease component 1\",Specific phenotypes on L-Lysine. Also important on gly-glu.  There is another dedicated transporter for the dipeptide gly-glu so the basis of that phenotype is unclear.,\"Histidine ABC transporter, permease protein HisQ (TC 3.A.1.3.1)\",\"Histidine ABC transporter, permease protein HisQ (TC 3.A.1.3.1)\",histidine transport system permease protein,MFEQLLQNLGLSAFSLQGFGPLLMQGTWMTIKLSALSLLLSVLLGLLGASAKLSSVKLLRIPAQLYTTLIRGVPDLVLMLLIFYSLQTWLTSLTDFMEWEYIEIDPFGAGVITLGFIYGAYFTETFRGAILSVPRGQVEAATAYGLKRGQRFRFVVFPQMMRFALPGIGNNWMVMLKATALVSIIGLADLVKAAQDAGKSTYQLFYFLVLAALIYLLITSASNFILRWLERRYAAGAREAVR\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2960,,TK06_RS14830,WP_063322691.1,tr|A0A165ZC74|A0A165ZC74_PSEFL,\"ABC transporter for L-Lysine, permease component 2\",Specific phenotype on Gly-Glu; L-Lysine. There is another dedicated transporter for the dipeptide gly-glu so the basis of that phenotype is unclear.,\"Histidine ABC transporter, permease protein HisM (TC 3.A.1.3.1)\",\"Histidine ABC transporter, permease protein HisM (TC 3.A.1.3.1)\",histidine transport system permease protein,MIELLQEYWRPFLYSDGVNVTGLAMTLWLLSASLLIGFLVSIPLSIARVSPKFYVRWPVQFYTYLFRGTPLYIQLLICYTGIYSIAAVRAQPLLDSFFRDAMNCTILAFALNTCAYTTEIFAGAIRSMNHGEVEAAKAYGLTGWRLYTYVIMPSALRRSLPYYSNEVILMLHSTTVAFTATVPDVLKVARDANSATFLTFQSFGIAALIYLTVTFALVGLFRLAERRWLAFLGPTH\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_2962,,TK06_RS14840,WP_003198401.1,tr|A0A159ZYQ4|A0A159ZYQ4_PSEFL,\"ABC transporter for L-Lysine, ATPase component\",Very important for L-lysine and gly-glu utilization. There is another dedicated transporter for the dipeptide gly-glu so the basis of that phenotype is unclear.,\"Histidine ABC transporter, ATP-binding protein HisP (TC 3.A.1.3.1)\",\"Histidine ABC transporter, ATP-binding protein HisP (TC 3.A.1.3.1)\",histidine transport system ATP-binding protein,MYKLTIEGLHKSYGEHEVLKGVSLKAKTGDVISLIGASGSGKSTFLRCINFLEQPNDGAMSLDGQPIQMIKDRHGMHVADADELQRIRTRLAMVFQHFNLWSHMTVLENITMAPRRVLGVSKQEADDRARRYLDKVGLPARVAEQYPAFLSGGQQQRVAIARALAMEPEVMLFDEPTSALDPELVGEVLKVIQGLAEEGRTMIMVTHEMSFARKVSNQVLFLHQGLVEEEGRPEDVLGNPTSERLKQFLSGNLK\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4383,,TK06_RS21985,WP_063323808.1,tr|A0A159ZZQ3|A0A159ZZQ3_PSEFL,gamma-glutamyl-gamma-aminobutyraldehyde dehydrogenase (EC 1.2.1.54),Important on putrescine; this is the dehydrogenase reaction in the gamma-glutamyl-putrescine pathway. KEGG now annotates it as acting on the 4-guanidino form and it may also act on 4-aminobutyraldehyde (based on studies of PA5312 = kauB). Since this enzyme is closely related to kauB it is probably flexible.,Aldehyde dehydrogenase (EC 1.2.1.3),Aldehyde dehydrogenase (EC 1.2.1.3),,MTTLTRADWEQRARDLKIEGRAFINGEYTDAVSGETFDCLSPVDGRLLGKIASCDVADAQRAVENARATFSSGVWSRLAPSKRKATMIRFAGLLKQHAEELALLETLDMGKPISDSLNIDVPGAAQALSWSGEAIDKLYDEVAATPHDQLGLVTREPVGVVGAIVPWNFPLMMACWKLGPALSTGNSVVLKPSEKSPLTALRIAALAIEAGIPKGVLNVLPGYGHTVGKALALHMDVDTLVFTGSTKIAKQLMIYSGESNMKRIWLEAGGKSPNIVFADAPDLQAAAESAASAIAFNQGEVCTAGSRLLVERSIKDTFLPLVIEALKGWKPGNPLDPATNVGALVDTQQMNTVLSYIEAGHSDGAKLVAGGKRILEETGGTYVEPTIFDGVSNAMKIAQEEIFGPVLSVIAFDTAEQAIEIANDTPYGLAAAVWTKDISKAHLTAKALRAGSVWVNQYDGGDMTAPFGGFKQSGNGRDKSLHAFDKYTELKSTWIKL\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4509,,TK06_RS22580,WP_014340747.1,tr|A0A161H3M9|A0A161H3M9_PSEFL,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),Specifically important for: Putrescine Dihydrochloride. This synthetase reaction is the first step in putrescine catabolism,glutamine synthetase family protein,,glutamine synthetase,VVRGKRIERTSLHKVYEKGINLPASLFALDINGSTVESTGLGLDIGDADRICYPIPDTLCNEPWQKRPTAQLLMTMHELEGEPFFADPREVLRQVVTKFDELGLTICAAFELEFYLIDQENVNGRPQPPRSPISGKRPHSTQVYLIDDLDEYVDCLQDILEGAKEQGIPADAIVKESAPAQFEVNLHHVADPIKACDYAVLLKRLIKNIAYDHEMDTTFMAKPYPGQAGNGLHVHISILDKDGKNIFASEDPEQNAALRHAIGGVLETLPAQMAFLCPNVNSYRRFGAQFYVPNSPTWGLDNRTVALRVPTGSADAVRLEHRVAGADANPYLLMASVLAGVHHGLVNKIEPGAPVEGNSYEQNEQSLPNNLRDALRELDDSEVMAKYIDPKYIDIFVACKESELEEFEHSISDLEYNWYLHTV\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4510,,TK06_RS31160,WP_086936699.1,,Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),Specifically important for: Putrescine Dihydrochloride. part of putrescine catabolism via gamma-glutamyl-putrescine (SEED_correct),Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),putative glutamine amidotransferase,MSRLPLIGVTTCSRQIGLHAYHISGEKYSRAVATAAKGLPVLIPSLADLFPPSDILDALDGILLTGSPSNVEPFHYQGPASAPGTAHDPARDATTLPLIRAAVDAGIPVLGICRGFQEMNVAFGGSLHQKVHEVGTFIDHREDDTQAVDVQYGPAHAVHIQPGGVLAGLGLPQRIEVNSIHSQGIERLAPGLRAEAVAPDGLIEAVSVPGGKAFALGVQWHPEWEVSSNPHYLAIFQAFGDACRARAAQRDADASNNA\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4512,,TK06_RS22595,WP_063323898.1,tr|A0A159ZZY6|A0A159ZZY6_PSEFL,Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19),\"Specifically important for: Putrescine Dihydrochloride. KEGG annotates this as putrescine aminotransferase, probably based on similarity to spuC (PA0299) of P. aeruginosa, but it is believed that only the g-glutamyl- pathway operates in P. aeruginosa (X. Yao et al 2011, PMC3147493)\",Omega-amino acid--pyruvate aminotransferase (EC 2.6.1.18),Omega-amino acid--pyruvate aminotransferase (EC 2.6.1.18),putrescine aminotransferase,MTRNNPQTREWQALSNDHHLAPFSDFKQLKEKGPRIITHAKGVYLWDSEGNKILDGMAGLWCVAVGYGREELADAASQQMRELPYYNLFFQTAHPPVLELSKAIADIAPEGMNHVFFTGSGSEGNDTMLRMVRHYWAIKGQPNKKVIISRKNGYHGSTVAGASLGGMTYMHEQGDLPIPGIVHIAQPYWFGEGGDMSPEEFGVWAANQLEEKILELGVDNVGAFIAEPIQGAGGVIVPPDSYWPRMKEILAKYDILFVADEVICGFGRTGEWFGTDHYELKPHMMTIAKGLTSGYIPMGGLIVRDDVVAVLNEGGDFNHGFTYSGHPVAAAVALENIRILRDEKIIERVHSETAPYLQKRLRELNDHPLVGEVRGVGLLGAIELVQDKATRKRYEGKGVGMICRQFCFDNGLIMRAVGDTMIIAPPLVISKAEIDELVAKARQCLDLTLSALQG\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4681,,TK06_RS23410,WP_063324024.1,tr|A0A160A3C6|A0A160A3C6_PSEFL,\"ABC transporter for Carnitine, ATPase component\",\"Specific phenotype on Carnitine Hydrochloride. This ABC transporter might also take up choline or glycine-betaine, in conjunction with another SBP, Pf6N2E2_4683\",L-proline glycine betaine ABC transport system permease protein ProV (TC 3.A.1.12.1),L-proline glycine betaine ABC transport system permease protein ProV (TC 3.A.1.12.1),glycine betaine/proline transport system ATP-binding protein,MSIIRFEDVDVIFSNRPKAALDLLDKGLSRPEILQQTGLIVGVEKASLSIEKGEICVLMGLSGSGKSSLLRCINGLNTVSRGKLFVEHEGRQIDIASCSPAELKMMRTKRIAMVFQKFALMPWLTVRENISFGLEMQGRPEKERRKLVDEKLELVGLTQWRNKKPDELSGGMQQRVGLARALAMDADILLMDEPFSALDPLIRQGLQDELLELQRKLQKTIVFVSHDLDEALKLGTRIAIMKDGKIIQYSKPEEIVLNPADDYVRTFVAHTNPLNVLCGRSLMRTLDNCKRINGSVCLDPGGDSWLDLAEGNTIKGARQNGAALDLQNWVPGQAVEDLGRRPTLVDSNIGMRDALQIRYQTGNKLVLHDNQQVVGILGDSELYHALLGKNLG\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4682,,TK06_RS23415,WP_063324025.1,tr|A0A160A470|A0A160A470_PSEFL,\"ABC transporter for Carnitine, permease component\",\"Specific phenotypes on Carnitine Hydrochloride.  This ABC transporter might also take up choline or glycine-betaine, in conjunction with another SBP, Pf6N2E2_4683\",L-proline glycine betaine ABC transport system permease protein ProW (TC 3.A.1.12.1),L-proline glycine betaine ABC transport system permease protein ProW (TC 3.A.1.12.1),glycine betaine/proline transport system permease protein,MLIDQKIPLGQYIAGFVEWLTQNGANTFDAIALFLETMIHGVTFALTWFNPLALIGLIALLAHFIQRKWGLTIFVIASFLLILNLGYWQETMETLAQVLFATLVCVLIGVPLGIVAAHKPMFYTMMRPVLDLMQTVPTFVYLIPTLTLFGLGVVPGLISTVVFAIAAPIRLTYLGIRDVPDELMDAGKAFGCSRRQLLSRIELPHAMPSIAAGITQCIMLSLSMVVIAALVGADGLGKPVVNALNTADIALGFEAGLAIVLLAIMLDRICKQPDAKVGGDA\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4689,,TK06_RS23445,WP_063324030.1,tr|A0A160A4C1|A0A160A4C1_PSEFL,\"L-carnitine 3-dehydrogenase, B subunit (EC 1.1.1.108)\",Specifically important for: Carnitine Hydrochloride. Similar to CdhB = PA5385,FIG143042: Thioesterase-like protein,,acyl-CoA thioester hydrolase,MPTLTTYQTRILPEWVDYNGHLRDAFYLLIFSYATDALMDRLGMDSQNREASGHSLFTLELHLNYLHEVKLDAQVEVHTHIIGHDAKRLHLYHSLHLVGGDKELAGNEQMLLHVDLAGPRSAPFTEQTLDRLSALLDEQSDLPPPLYIGRIIALPLPR\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4690,,TK06_RS23450,WP_063324031.1,tr|A0A160A2B4|A0A160A2B4_PSEFL,\"L-carnitine 3-dehydrogenase, A subunit (EC 1.1.1.108)\",Specifically important for: Carnitine Hydrochloride. Similar to CdhA = PA5386,Carnitine 3-dehydrogenase (EC 1.1.1.108) @ 3-hydroxybutyryl-CoA dehydrogenase (EC 1.1.1.157) @ 3-hydroxyacyl-CoA dehydrogenase (EC 1.1.1.35),Carnitine 3-dehydrogenase (EC 1.1.1.108) @ 3-hydroxybutyryl-CoA dehydrogenase (EC 1.1.1.157) @ 3-hydroxyacyl-CoA dehydrogenase (EC 1.1.1.35),3-hydroxybutyryl-CoA dehydrogenase,MSFITDIKTFAALGSGVIGSGWISRALAHGLDVIAWDPAPGAEAALRKRVANAWGALEKQGLAPGASQDRLRFVATIEECVRDADFIQESAPERLELKLELHGQISAAAKPNALIGSSTSGLLPSEFYEGATHPERCVVGHPFNPVYLLPLVEVVGGKNTAPEAVQAAMQVYESLGMRPLHVRKEVPGFIADRLLEALWREALHLVNDGVATTGEIDDAIRFGAGLRWSFMGTFLTYTLAGGDAGMRHFMAQFGPALQLPWTYLPAPELTEKLIDDVVDGTSAQLGSHSISALERYRDDCLLAVLEAVKATKAKHGMAFSE\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4692,,TK06_RS23455,WP_063324032.1,tr|A0A160A201|A0A160A201_PSEFL,dehydrocarnitine cleavage enzyme (EC 2.3.1.-),Specifically important for: Carnitine Hydrochloride. Similar to CdhC = PA5387,FIG004891: hypothetical protein in carnitine cluster,FIG004891: hypothetical protein in carnitine cluster,,MNHDVIITCALTGAGDTTAKSPHVPVTPKQIADAAIEAAKAGATVVHCHVRDPQTGKFSRDVALYREVMERIREADVDIIVNLTAGMGGDLEIGAGEQPMEFGPNTDLVGPLTRLAHVEELLPEICTLDCGTLNFGDGDTIYVSTPAQLRAGAKRITELGVKAELEIFDTGHLWFAKQLIKEGLLDNPLFQLCLGIPWGAPADTTTMKAMVDNLPADAVWAGFGIGRMQMPMAAQAVLLGGNVRVGLEDNLWLDKGVLATNGQLVERAGEILSRLGARVLTPAEGRKKMGLTQRG\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_4693,,TK06_RS23460,WP_063324033.1,tr|A0A160A3D7|A0A160A3D7_PSEFL,\"ABC transporter for Carnitine Hydrochloride, periplasmic substrate-binding component\",\"Specific phenotype on Carnitine Hydrochloride. Similar to CaiX. There might also be another SBP, Pf6N2E2_4683 (similar to CbcX) that is expected to be specific for choline and glycine-betaine. However _4683 is important for carnitine utilization as well and it does not appear to be a polar effect, so it could be another subunit.\",L-proline glycine betaine binding ABC transporter protein ProX (TC 3.A.1.12.1),L-proline glycine betaine binding ABC transporter protein ProX (TC 3.A.1.12.1),glycine betaine/proline transport system substrate-binding protein,MKRLISSCVLALCGTTFLNGTAMAAEPAACQNVRLGVVNWTDVIATSALTQVMLDGLGYKTKQTSASQQIIFAGIRDQRLDLFLGYWNPLMTQTITPFVEAKQVKVLEQPSLKDARATLAVPTYLADKGLKTFADIAKFEKELGGKIYGIEPGSGANTQIKAMIAKNQFGLGKFQLVESSEAGMLAAVDRAVRRKEAVVFFGWAPHPMNVNVQMTYLTGSDDALGPNEGMATVWTVTAPDYAQQCPNVGRLLSNLTFSAEDESRMMQPLLDHKDPLESARQWLKDHPQDKQRWLEGVTTFDGKPAADNLKLTSN\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_515,,TK06_RS02565,WP_063320678.1,tr|A0A159ZT15|A0A159ZT15_PSEFL,malonate-semialdehyde dehydrogenase (acetylating) (EC 1.2.1.18),\"Specifically important for: m-Inositol. 3-oxopropionate or malonate semialdehyde is an intermediate in myo-inositol catabolism (SEED_correct, although the name and EC number are confusing)\",Methylmalonate-semialdehyde dehydrogenase [inositol] (EC 1.2.1.27),Methylmalonate-semialdehyde dehydrogenase [inositol] (EC 1.2.1.27),methylmalonate-semialdehyde dehydrogenase,MSDAPVVGHYLNGHVQDHDSTRFSNVFNPATGAVQARVALAEPGTVDAAVASALAAFPAWSEQSSLRRSRVMFKFKELLDRHHDELAQIISREHGKVLSDAHGEVTRGIEIVEYACGAPNLLKTDFSDNIGGGIDNWNLRQPLGVCAGVTPFNFPVMVPLWMIPLALVAGNCFILKPSERDPSASLLMARLLTEAGLPDGVFNVVQGDKVAVDALLQHPDIEAISFVGSTPIAEYIHQQGTAHGKRVQALGGAKNHMIVMPDADLDQAADALIGAAYGSAGERCMAISIAVAVGDVGDELIAKLLPRIDQLKIGNGQQPGTDMGPLVTAEHKAKVEGFIDAGVAEGARLIVDGRSFKVPGAEQGFFVGATLFDQVTAEMSIYQQEIFGPVLGIVRVPDFATAVALINAHEFGNGVSCFTRDGGIARAFARSIKVGMVGINVPIPVPMAWHSFGGWKRSLFGDHHAYGEEGLRFYSRYKSVMQRWPDSIAKGPEFSMPTAQ\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5402,,TK06_RS26960,WP_003205302.1,tr|A0A160A3S6|A0A160A3S6_PSEFL,\"ABC transporter for D-Alanine, periplasmic substrate-binding component\",Very important for D-alanine utilization. This transporter may also uptake L-histidine.,Glutamate Aspartate periplasmic binding protein precursor GltI (TC 3.A.1.3.4),Glutamate Aspartate periplasmic binding protein precursor GltI (TC 3.A.1.3.4),general L-amino acid transport system substrate-binding protein,MKLLKSTLAVMTAAAVLGVSGFAQAGATLDAVQKKGFVQCGVSDGLPGFSVPDSTGKIVGIDADFCRAVAAAVFGDATKVKFSQLNAKERFTALQSGEIDMLSRNSTMTSSRDAGMGLKFPGFITYYDGIGFLANNKLGVKSAKELDGATICIQAGTTTELNVSDYFRANGLKYTPITFDTSDESAKSLESGRCDVLTSDKSQLFAQRSKLASPKDYVVLPETISKEPLGPVVRNGDDEWLAIVRWTGYALLNAEEAGVTSKNVEAEAKSTKNPDVARMLGADGEYGKDLKLPKDWVVQIVKQVGNYGEMFERNLGKGTPLEIDRGLNALWNAGGIQYAPPVR\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5403,,TK06_RS26965,WP_063324518.1,tr|A0A160A3G2|A0A160A3G2_PSEFL,\"ABC transporter for D-Alanine, permease component 2\",Very important for D-alanine utilization. This transporter may also uptake L-histidine.,Glutamate Aspartate transport system permease protein GltJ (TC 3.A.1.3.4),Glutamate Aspartate transport system permease protein GltJ (TC 3.A.1.3.4),general L-amino acid transport system permease protein,VRAWVFQVVTVVAVIALGWFLFDNTQTNLQHRGITSGFGFLERSAGFGIAQHLIDYTEADSYARVFLIGLLNTLLVTFIGVILATILGFIIGVARLSQNWIISKLATVYVEVFRNIPPLLQILFWYFAVFLSMPGPRAAHNFGDTFFVSSRGLNMPAALVAEGFWPFVISVVLAIVAIVLMTRWANKRFEATGEPFHKFWVGLALFLVIPALSALLFGAPVHWEMPELKGFNFVGGWVLIPELLALTLALTVYTAAFIAEIVRSGIKSVSHGQTEAARSLGLRNGPTLRKVIIPQALRVIIPPLTSQYLNLAKNSSLAAGIGYPEMVSLFAGTVLNQTGQAIEVIAITMSVYLAISISISLLMNWYNKRIALIER\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5404,,TK06_RS26970,WP_063324519.1,tr|A0A160A4M7|A0A160A4M7_PSEFL,\"ABC transporter for D-Alanine, permease component 1\",\"Specific phenotypes on D-Alanine. Also important for histidine utilization, so this may also take up L-histidine\",Glutamate Aspartate transport system permease protein GltK (TC 3.A.1.3.4),Glutamate Aspartate transport system permease protein GltK (TC 3.A.1.3.4),general L-amino acid transport system permease protein,MTTHTFKPDMPPPGSSIGVVAWMRANMFSSWINTLLTLFAFYLIYLIVPPLVQWAILDANWVGTTRADCTKEGACWVFIQQRFGQFMYGYYPADLRWRVDLTVWLAVIGVAPLFISRFPRKAIYGLSFLVLYPISAWCLLHGGVFGLDAVATSQWGGLMLTLVIATVGIVGALPLGIVLALGRRSNMPAIRVVCVTFIEFWRGVPLITVLFMSSVMLPLFLPEGMNFDKLLRALIGVILFQSAYIAEVVRGGLQAIPKGQYEAAAAMGLGYWRSMGLVILPQALKLVIPGIVNTFIALFKDTSLVIIIGLFDLLNSVKQAAADPKWLGMATEGYVFAALVFWIFCFGMSRYSMHLERKLDTGHKR\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5405,,TK06_RS26975,WP_003178331.1,tr|A0A0D9AS17|A0A0D9AS17_PSEFL,\"ABC transporter for D-Alanine, ATPase component\",Very important for D-alanine utilization. This transporter may also uptake L-histidine.,\"ABC-type polar amino acid transport system, ATPase component\",\"ABC-type polar amino acid transport system, ATPase component\",general L-amino acid transport system ATP-binding protein,MSEAIKQPVSPEGIIQMQGVNKWYGQFHVLKDINLNVKQGERIVLCGPSGSGKSTTIRCLNRLEEHQQGRIVVDGVELTNDLKQIEAIRREVGMVFQHFNLFPHLTILQNCTLAPMWVRKMPKRKAEEIAMHYLERVRIPEQAHKYPGQLSGGQQQRVAIARALCMKPKIMLFDEPTSALDPEMVKEVLDTMIGLAEDGMTMLCVTHEMGFARTVANRVIFMDKGEIVEQAAPNDFFDNPQNDRTKLFLSQILH\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5660,,TK06_RS28180,WP_063324706.1,tr|A0A160A465|A0A160A465_PSEFL,\"L-Arginine ABC transporter, periplasmic substrate-binding component\",Specific phenotype on L-Arginine. (SEED_correct),\"Arginine/ornithine ABC transporter, periplasmic arginine/ornithine binding protein\",\"Arginine/ornithine ABC transporter, periplasmic arginine/ornithine binding protein\",,MKKLVLLGALALSVLSLPTFADEKPLKIGIEAAYPPFASKAPDGSIVGFDYDIGNALCEEMKVKCVWVEQEFDGLIPALKVRKIDAILSSMSITEDRKKSVDFTNKYYNTPARLVMKAGTQVSDNLAELKGKNIGVQRGSIHERFAREVLAPLGAEIKPYGSQNEIYLDVSAGRLDGTVADATLLDDGFLKTDAGKGFAFVGPAFTDEKYFGDGIGIAVRKGDALKDKINGAITAIRENGKYKQIQDKYFAFDIYGK\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5661,,TK06_RS28185,WP_003204800.1,tr|A0A160A3X7|A0A160A3X7_PSEFL,\"L-Arginine ABC transporter, permease protein AotQ\",Specific phenotypes on L-Arginine; L-Arginine. no data for ornithine (SEED_correct),\"Arginine/ornithine ABC transporter, permease protein AotQ\",\"Arginine/ornithine ABC transporter, permease protein AotQ\",,MLKGYGAVILDGAWLTLELALSSMALAIVLGLIGVALRLSPVRWLAWLGDLYATVIRGIPDLVLILLIFYGGQDLLNRVAPMLGYDDYIDLNPLAAGIGTLGFIFGAYLSETFRGAFMAIPKGQAEAGMAYGMNGFQVFFRVLVPQMIRLAIPGFTNNWLVLTKATALISVVGLQDMMFKAKQAADATREPFTFFLAVAAMYLVITSVSLLALRHLEKRYSVGVRAADL\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5662,,TK06_RS28190,WP_063324707.1,tr|A0A160A563|A0A160A563_PSEFL,\"L-Arginine ABC transporter, permease protein AotM\",Specific phenotypes on L-Arginine; L-Arginine. (SEED_correct),\"Arginine/ornithine ABC transporter, permease protein AotM\",\"Arginine/ornithine ABC transporter, permease protein AotM\",,MIFDYNVIYEALPLYFSGLLTTLKLLALSLFFGLLAALPLGLMRVSKQPIVNMTAWLYTYVIRGTPMLVQLFLIYYGLAQFAIVRESFLWPWLSSATFCACLAFAINTSAYTAEIIAGSLRATSNGEIEAAKAMGMSRYKLYRRILLPSALRRALPQYSNEVIMMLQTTSLASIVTLIDITGAARTVNAQYYLPFEAYITAGVFYLCLTFILVRLFKLAERRWLGYLAPRKH\r\ntransporters,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5663,,TK06_RS28195,WP_063324708.1,tr|A0A160A5V6|A0A160A5V6_PSEFL,\"L-Arginine ABC transporter, ATPase component\",Very important for utilizing L-arginine. (SEED_correct),\"Arginine/ornithine ABC transporter, ATP-binding protein AotP\",\"Arginine/ornithine ABC transporter, ATP-binding protein AotP\",,MYKLEVQDLHKRYGSHEVLKGVSLKAAAGDVISIIGSSGSGKSTFLRCINLLEQPHAGKILLNNEELKLVAGKDGALKAADPKQLQRMRSRLSMVFQHFNLWSHMTALENIMEAPVHVLGVTKAQAREKAEHYLNKVGVAHRKDAYPGHMSGGEQQRVAIARALAMEPEVMLFDEPTSALDPELVGDVLKVMQGLALEGRTMVVVTHEMGFAREVSNQLVFLHKGIVEESGNPREVLVNPQSERLQQFLSGSLK\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_5967,,TK06_RS29720,WP_063324926.1,tr|A0A165ZSW6|A0A165ZSW6_PSEFL,L-arabinose 1-dehydrogenase / D-galactose 1-dehydrogenase (EC 1.1.1.46; EC 1.1.1.48),\"Important for utilization of L-arabinose and D-galactose in several Pseudomonas. Both of these sugars are catabolized via a 1-dehydrogenase followed by lactonase and dehydratase reactions. This is the only dehydrogenase is specifically important for either of these carbon sources in several Pseudomonas, except for an alpha-ketoglutarate semialdehyde dehydrogenase that is expected to be the last dedicated step in L-arabinose catabolism (i.e., Pf6N2E2_612). L-arabinose and D-galactose are chemically similar and some dehydrogenases are already known to act on both substrates. This gene might also be involved in D-gluconate utilization.\",3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100),3-oxoacyl-[acyl-carrier protein] reductase (EC 1.1.1.100),,MAEPLSLPPVPEPPKGERLKNKVVLLTGAAQGIGEAIVAAFASQQARLVISDIQAEKVETVAAHWRERGADVHALKADVSNQQDLHAMARHAVERHGRIDVLVNCAGVNVFRDPLEMTEEDWRRCFAIDLDGAWYGCKAVLPQMIEQGVGSIINIASTHSSHIIPGCFPYPVAKHGLLGLTRALGIEYAPKGVRVNAIAPGYIETQLNVDYWNGFADPYAERQRALDLHPPRRIGQPIEVAMTAVFLASDEAPFINASCITIDGGRSVMYHD\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_611,,TK06_RS03025,WP_063320756.1,tr|A0A159ZTV2|A0A159ZTV2_PSEFL,2-dehydro-3-deoxy-L-arabinonate dehydratase (EC 4.2.1.43),\"# Specifically important in carbon source L-Arabinose. Similar to PA2216 from Pseudomonas aeruginosa (see PMC:PMC4038344) and to gguC or araD1 (Atu2345) from Agrobacterium tumefaciens (see PMC: PMC3232879), which also have this activity. In Agrobacterium, this reaction is proposed to be a step in L-arabinose oxidation. (Note that 2-keto-3-deoxy-L-lyxonate and 2-keto-3-deoxy-L-arabinonate are the same compound.)\",SUGAR TRANSPORTER,SUGAR TRANSPORTER,,MRLVQFELPNGERRVGVVDGDQVREVQGAASVRDLALAAIEAGVKLEEQVNSLGLGAGHDYARLLSELRILPPLDHPDPAHLLVSGTGLTHLGSASARDKMHQQAGDESAMTDTMRIFKWGVEGGKPQAGQAGVQPEWFYKGDGSIVVRPGHPFPLPPFAEDAGEEPEISGLYVIGHDGKPYRLGFAVGNEFSDHVMERKNYLYLAHSKLRSCSFGPELRVGELPQHLSGTSRILRNGEVLWQNEFLSGEANMCHSLENLEFHHFKYSQFLRPGDVHVHFFGTATLSFADGIRTQPGDVFEISQAEFGAPLVNGIAPVDAVFNPGTIGTL\r\ncatabolism,Pseudomonas fluorescens FW300-N2E2,pseudo6_N2E2,Pf6N2E2_80,,TK06_RS00420,WP_063320323.1,tr|A0A165YII0|A0A165YII0_PSEFL,gamma-glutamylputrescine oxidase (EC 1.4.3.-),Specifically important for: Putrescine Dihydrochloride. This is part of the gamma-glutamyl-putrescine pathway. (KEGG_correct),Nucleoside-diphosphate-sugar epimerases,Nucleoside-diphosphate-sugar epimerases,gamma-glutamylputrescine oxidase,VIGAGYTGLSSALFLLENGFKVTVLEAAKVGFGASGRNGGQIVNSYSRDIDVIERSVGPQQAQLLGNMAFEGGRIIRERVAKYQIQCDLKDGGVFAALTAKQMGHLESQKRLWERFGHTQLELLDQRRIREVVACEEYVGGMLDMSGGHIHPLNLALGEAAAVESLGGVIYEQSPAVRIERGASPVVHTPQGKVRAKFIIVAGNAYLGNLVPELAAKSMPCGTQVIATEPLGDELAHSLLPQDYCVEDCNYLLDYYRLTGDKRLIFGGGVVYGARDPANIEAIIRPKMLKAFPQLKDVKIDYAWTGNFLLTLSRLPQVGRLGDNIYYSQGCSGHGVTYTHLAGKVLAEALRGQAERFDAFADLPHYPFPGGQLLRTPFAAMGAWYYGLRDKLGF\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF1044,Psest_1077,PSEST_RS05235,WP_003280093.1,tr|L0GFY2|L0GFY2_PSEST,\"acetyl-CoA:acetoacetate CoA transferase, B subunit (EC 2.8.3.8)\",\"Specifically important for: L-tyrosine disodium salt; L-Leucine. This role makes sense because of its involvement in acetoacetate catabolism (from tyrosine or leucine). It had been annotated as succinyl-CoA:3-ketoacid-coenzyme A transferase (a broader range of substrates and with succinyl-CoA not acetyl-CoA as donor). Similar to E. coli atoA (52% identical), which has this activity.\",\"3-oxoacid CoA-transferase, B subunit\",Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit B (EC 2.8.3.5),3-oxoacid CoA-transferase subunit B,MAWTREQMAQRAAQELQDGFYVNLGIGLPTLVANYIPEGMDVWLQSENGLLGIGPFPTEEEIDPDLINAGKQTVTALPGSSFFDNAQSFAMIRGGHINLAILGAMQVSEKGDLANWMIPGKMVKGMGGAMDLVAGVKRVVVLMEHTAKGGAHKILPACDLPLTGLGVVDRIITDLGVLDVTEQGLKLVELAEGVSFDELQEATGSPIQR\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF1045,Psest_1078,PSEST_RS05240,WP_003294550.1,tr|L0GK00|L0GK00_PSEST,\"acetyl-CoA:acetoacetate CoA transferase, A subunit (EC 2.8.3.8)\",\"Specifically important for: L-Leucine. Important on tyrosine as well. This role makes sense because of its involvement in acetoacetate catabolism (from tyrosine or leucine). It had been annotated as succinyl-CoA:3-ketoacid-coenzyme A transferase (a broader range of substrates and with succinyl-CoA not acetyl-CoA as donor). Similar to E. coli atoD (46% identical), which has the same activity.\",\"3-oxoacid CoA-transferase, A subunit\",Succinyl-CoA:3-ketoacid-coenzyme A transferase subunit A (EC 2.8.3.5),3-oxoacid CoA-transferase subunit A,MNKIYPSAAHALEGLVEDGMTIAVGGFGLCGIPEQLIAALRDSGKKDLTAISNNAGVDGFGLGLLLETRQISKMVSSYVGENKEFERQYLAGELALEFTPQGTLAEKLRAGGAGIPAFYTKTGYGTLVAEGKETRQFNGEWYVMEESLTADLALVKAWKADKAGNLLFRKTARNFNPLAAMAGEVCVVEVEEIVETGELDPDQIHLPGIYVHRIVHNPNPEKRIEKRTVRS\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF1145,Psest_1178,PSEST_RS05740,WP_015276062.1,tr|L0GIY0|L0GIY0_PSEST,D-glycerate 2-kinase (EC 2.7.1.-),\"Specifically important for: Glycolic Acid. Either glycerate kinase or hydroxypyruvate reductase could be involved in glycolate utilization (via glyoxylate and tartronate-semialdehyde, which can be converted to glycerate, perhaps via hydroxypyruvate). However this protein is similar to TM1585 (also PDB:2b8nA or GCK_THEMA), which is a glycerate kinase. We were not able to find a rationale for KEGG's annotation as hydroxypyruvate reductase. (SEED_correct)\",Putative glycerate kinase,D-glycerate 2-kinase (EC 2.7.1.-),hydroxypyruvate reductase,MTLDPQALLRQLFDSAIEAAHPRHVLADHLPEDRSGRAIVIGAGKAAAAMAEAIEKVWEGELSGLVVTRYEHHADCKRIEVVEAAHPVPDDAGERVARRVLELVSNLEESDRVIFLLSGGGSSLLALPAEGISLADKQAINKALLRSGAHIGEMNCVRKHLSAIKGGRLAKACWPASVYTYAISDVPGDEATVIASGPTVADPTTSEQALEILERYHIEVPANVRAWLEDPRSETLKPGDPMLSRSHFRLIATPQQSLDAAAEVARAAGITPLILGDLEGEAREVAKVHAGIARQVVLHGQPIAAPCVILSGGETTVTVRGNGRGGRNAEFLLALTENLQGLPNVYALAGDTDGIDGSEDNAGALMMPDSYARAETLGLRAADALANNDGYGYFAALDDLIVTGPTRTNVNDFRAILILPPSA\r\ntransporters,Pseudomonas stutzeri RCH2,psRCH2,GFF2080,Psest_2123,PSEST_RS10360,WP_015276942.1,tr|L0GLK1|L0GLK1_PSEST,fusion of gluconokinase and the small permease component of the D-gluconate TRAP transporter,\"This protein has pleiotropic phenotypes which are not explained, but it is most important for fitness with D-gluconate as the carbon source, consistent with its putative roles as part of the tripartite gluconate transport system and as gluconate kinase.  Also, the N-terminal part is 49% identical to PP3416 or gnuK from P. putida, which is the catabolic gluconate kinase (PMC1951859). The SEED and KEGG annotations ignore the dctQ-like C-terminal portion\",\"carbohydrate kinase, thermoresistant glucokinase family\",Gluconokinase (EC 2.7.1.12),gluconokinase,MPSVHTSKASALPVLVVMGVSGSGKTETSHAVADALGLPHIEADNFHPAENVARMRAGTPLSDADRMEWLHALIAEMQRTLAAGSGFVLACSALKRSYRELLRSAVPELRFAHLAIDYETAVQRVGGRAGHFMPISLVDSQFATLESPEGEPGVLTVDASQPREGVLRQIVEWMQGSGLDELIETRVDLSSRPFDSATTAPPLTNEPIYSGRVAQHFDRLTDWLMAALMAFMVIVVFSSVVLRYAFGTGWTGAEELSRLAFVWLVFVGVASSMRRGELMSFSMLRDRFPRLFRRVVDSLSWLLVAAASCLAAWGGWNQMQFGWTINSPVVGYPLGLAMLPVAASMVALAVLALLQLVNVWRRDQPSATAAANVTAD\r\ntransporters,Pseudomonas stutzeri RCH2,psRCH2,GFF2081,Psest_2124,PSEST_RS10365,WP_014820165.1,tr|L0GIU4|L0GIU4_PSEST,\"D-gluconate TRAP transporter, large permease component\",specific phenotype on D-gluconate and no other transporter is apparent in the fitness data.,\"TRAP transporter, DctM subunit\",\"TRAP-type C4-dicarboxylate transport system, large permease component\",,MTVVVFLSSLLGFMTLGMPIAFALLLTGSVLMWYLDFWDVQLLAQNLQAGADSFPLLAVPFFILAGELMNAGGISRRIIAMAQAYFGHKRGGLGYVAIAASVLLASMSGSALADTAALATLLLPMMRERGYPLSSSSGLVAAGGIIAPIIPPSMPFVIYGVVTGTSISQLFLAGMVPGLIMGMGLIVAWTLIARRIDEPKQEKASAAERRRVLVDGAAALMLPVIIVGGLRGGLFTPTEAAVVAAVYALAVSTLLYRELNWAGLVEVLTRASRTTASVMFLCAAATVSAYMITLAQLPDEIAAMLGPLAQDPKLLMVAIMLLMIAVGMVLDLTPTILILGPVLAPIAIKAGIDPVYFGVMFVLIGSIGLITPPVGTVLNVVGGIGRLRMETLVRGVMPFFLIYLVIVGLLIAVPSIITVPLAWLR\r\ntransporters,Pseudomonas stutzeri RCH2,psRCH2,GFF2082,Psest_2125,PSEST_RS10370,WP_015276943.1,tr|L0GMV7|L0GMV7_PSEST,\"D-gluconate TRAP transporter, periplasmic component\",specific phenotype on D-gluconate and no other transporter is apparent in the fitness data,\"tripartite ATP-independent periplasmic transporter solute receptor, DctP family\",\"TRAP-type transport system, periplasmic component, predicted N-acetylneuraminate-binding protein\",,MKRLLISTLAAALLGSTLSLGYAQAADDIRPRMIRFGYGLNEDSNQGRAAKLLAEEVAKASGGKLKVRTFASASLGSDDQMQNALIGGAQEMMVGSTATLVGISKEMAVWDTPFLFTDPRQADQVLDGPVGRQVMDKLEEKGLVGLVYWENGFRNVTNSARPIEKLEDFNGVKLRVMPNPVFIDTFKRMGANAVPLPFSELFTALETKAVDGQENPFNTILSSKFYEVQKYLSVTNHVYSPWIVTVSKRWWDGLSATEQGILMEAAEKARDAEREDTRREASQALAALKERGMQINEVSPDEIQRMREKAQPAIQTVIDAVGQELFDQVQAEVEKAAP\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF2392,Psest_2440,PSEST_RS11895,WP_015277224.1,tr|L0GMF3|L0GMF3_PSEST,isobutyrl-CoA dehydrogenase (EC 1.3.8.1),\"Important for valine utilization as N source, and isobutyrl-CoA is an intermediate in valine catabolism. SEED annotated it as butyryl-CoA dehydrogenase, which is also expected to perform this reaction\",Acyl-CoA dehydrogenases,Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MHDLELSEDQRMIRDMARDFARREIAPHAQAWEKAGWIDDTLVAQMGELGLLGMVVPEEWGGSYIDYVAYALAVEEISAGDGATGALMSIHNSVGCGPVLNYGSQAQKDEWLTELASGRAIGCFALTEPQAGSEAHNLRTRAELVDGHWVLNGSKQFCSNAKRSKLAIVFAVTDPELGKKGLSAFLVPTDTPGFAVERSEHKMGIRASDTCGVSLSDCRIPEANLLGERGKGLAIALSNLEGGRIGIGAQALGIARAAFEAALLYARERVQFGKPIAEHQSIANMLADMQTQLNAARLLILHAARLKSAGLPCLSEASQAKLFASEMAEKVCSQAVQIHGGYGYLEDYPVERYYRDARITQIYEGSSEIQRLLIARELANYAL\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF2397,Psest_2445,PSEST_RS11915,WP_015277229.1,tr|L0GMG4|L0GMG4_PSEST,2-methylbutanoyl-CoA dehydrogenase (EC 1.3.8.1),\"Specifically important for: L-Isoleucine. SEED has it as butyryl-CoA dehydrogenase, which is also expected to perform this reaction. 2-methylbutanoyl-CoA is an intermediate in isoleucine catabolism\",Acyl-CoA dehydrogenases,Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MLPNEDQNAIAEMARQFAQERLKPFAEQWSREHRYPAEAIGEMAALGFFGMLVPEQWGGSDTGYLAYAMALEEIAAGDGACSTIMSVHNSVGCVPILRFGNEQQKSDFLTPLARGEQIGAFALTEPQAGSDASSLRTRARRDGDHYVLNGAKQFITSGKHAGTVIVFAVTDPDAGKGGISAFIVPTDSPGYQVVRVEDKLGQHASDTCQIAFEDLRVPVANRLGEEGEGYRIALANLEGGRIGIAAQAVGMARAAFEAARDYARDRETFGKPIIEHQAVAFRLADMATQIAVARQMVHHAAALREVGRPALVEASMAKLFASEMAEKVCSAAIQTLGGYGYLADFPVERIYRDVRVCQIYEGTSDIQRLVISRNLGGPV\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF3447,Psest_3512,PSEST_RS17065,WP_015278222.1,tr|L0GPV2|L0GPV2_PSEST,fumarylacetoacetate (FAA) hydrolase (EC 3.7.1.2),\"Specifically important for: L-tyrosine disodium salt; casamino acids. The annotation of psa:PST_0871 has been updated to fumarylacetoacetate (FAA) hydrolase [EC:3.7.1.2], which is a step in tyrosine catabolism (KEGG_correct)\",\"2-keto-4-pentenoate hydratase/2-oxohepta-3-ene-1,7-dioic acid hydratase (catechol pathway)\",Fumarylacetoacetate hydrolase family protein,,MKLATLNQGRDGVLVVVSRDLAQAVKVPQIAATLQAALDDWNYCKPKLEAVYQRLNDGLEEGAFAFDQTACHSPLPRAYHWADGSAYVNHVELVRKARGAEMPESFWHDPLMYQGGADAFIPPHSPIRLADEAWGIDLEGELAVITDDVPMGATPAEAASHIQLLMLVNDVSLRNLIPGELAKGFGFYQSKPSSSFSPVAVTPDELGETWRDGKVHRPLVSHINGELFGQPDAGTDMTFNFPTLVAHAARTRPLGAGTIIGSGTVSNYDRSAGSSCLAEKRMLEVVEHGEAKTPFLKFGDRVRIEMFDAAGQSIFGAIDQQVERYGH\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF3452,Psest_3517,PSEST_RS17090,WP_015278227.1,tr|L0GPV5|L0GPV5_PSEST,\"branched-chain ketoacid ferredoxin reductase (EC 1.2.7.7) active on 4-methyl-2-oxopentanoate, (S)-3-methyl-2-oxopentanoate, or 3-methyl-2-oxobutanoate\",Specifically important for: L-Leucine; L-Isoleucine. This oxidizes and decarboxylates the alpha-keto acid that is produced by a branched chain amino acid dehydrogenase (4-methyl-2-oxopentanoate or (S)-3-methyl-2-oxopentanoate). This is also improtant for utilization of valine as a nitrogen source implying a third substrate (3-methyl-2-oxobutanoate).,\"Indolepyruvate ferredoxin oxidoreductase, alpha and beta subunits\",\"Indolepyruvate ferredoxin oxidoreductase, alpha and beta subunits\",indolepyruvate ferredoxin oxidoreductase,MSLAEIRLDDKYRLATGHLYLTGTQALTRLPMLQHQRDQARGLNTGGFISGYRGSPLGGLDKSLWEARDYLKQHAIHFQPGVNEELAATAVWGSQQTNLFPGAKYDGVFAMWYGKGPGVDRAGDVFKHANAAGVSPQGGVLLLAGDDHGCKSSTLPHQSEHAFIAASIPVLNPANVQEILDYGIIGWELSRYSGCWVALKTIAENVDSSAVVEVDPLRVQTRIPEDFELPEDGVHIRWPDPPLAQEKRLNLYKIYAARAFARANNLNRVMLDSPNPRLGIITTGKSYLDVRQALDDLGLDEALCASVGLRVLKVGMSWPLEPVSVHEFAQGLDEILVVEEKRSIIEDQLTGQLYNWPVSKRPRVVGEFDEQGNSLLPNLSELTPAMIARVIAKRLAPIYTSDSIQARLAFLAAKEKALAARSYSTVRTPHYCSGCPHNSSTKVPEGSRASAGIGCHYMVQWMDRRTETFTQMGGEGVNWIGQAPFTDTPHMFQNLGDGTYFHSGSLAVRAAVAAGVNVTYKILYNDAVAMTGGQPIDGELRVDQLSRQIFHEGVKRIALVSDEPDKYPSRDTFAPITSFHHRRELDAVQRELREFKGVSVIIYDQTCATEKRRRRKRGKMEDPAKRAFINPAVCEGCGDCGEKSNCLAVLPLETELGRKREIDQNACNKDFSCVEGFCPSFVTVHGGGLRKPEAVAGGIEAATLPEPQHPTLDRPWNVLIPGVGGSGVTTLGALLGMAAHLEGKGCTVLDQAGLAQKFGPVTTHVRIAAKQSDIYAVRIAAGEADLLLGCDLIVAAGDESLTRLNEQISNAVVNSHESATAEFTRNPDAQVPGAAMRQAISDAVGADKTHFVDATRLATRLLGDSIATNLFLLGFAYQQGLLPISAEAIEKAIELNGVSAKLNLQAFRWGRRAVLEREAVEQLARPVDMVEPICKTLEEIVDWRVDFLTRYQSAGLARRYRQLVERVRDADSADDLALSKAVARYYFKLLAYKDEYEVARLYSEPEFRQQLEAQFEGDYKLQFHLAPAWLAKRDPVTGEPRKRELGPWVLNLFGVLAKFRFLRGTPLDPFGYGHDRRVERQLISEYEKTVDELLAQLKPTNYRTAVAIAALPEQIRGYGPVKERSIAKARQQEKLLREQLAKGDEVQSVRLFQPAA\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF3770,Psest_3839,PSEST_RS18675,WP_015278495.1,tr|L0GSM3|L0GSM3_PSEST,\"D-lactate oxidase and glycolate oxidase, iron-sulfur subunit (EC 1.1.3.15)\",Specifically important for: Glycolic Acid; Sodium D-Lactate. This is the first step in both D-lactate and glycolate oxidation. KEGG oddly has no EC #; SEED has it as 1.1.99.14 (glycolate dehydrogenase),Fe-S oxidoreductase,\"Glycolate dehydrogenase (EC 1.1.99.14), iron-sulfur subunit GlcF\",glycolate oxidase iron-sulfur subunit,MQTNLSEAAKKLPRAEEAESILRSCVHCGFCNATCPTYQLLGDELDGPRGRIYLMKQMFEGGEVTESTQLHLDRCLTCRNCETTCPSGVKYHNLLDIGRDFIEQQVQRPLGERVVRGGLRTVIPRPGLFKALLGAGNALKPLMPASLKDHLPREIRPAKPRPQVMHSRRVLILEGCVQPSLSPSTNAAAARVLDRLGISVSPAREAGCCGAVDYHLNAQDAGLDRARRNIDAWWPAIEAGAEAIVQTASGCGAFVKEYGHLLKDDPAYAAKAARVSELAKDLVEVLRSAELEKLNVRADKRMAFHCPCTLQHAQKLGGAVEDVLTRLGYQLTAVPDAHLCCGSAGSYSITQPEISHQLRDNKLNALESGKPEVIVTANIGCQTHLDGAGRTPVKHWIEVVEESMQ\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF3771,Psest_3840,PSEST_RS18680,WP_015278496.1,tr|L0GSF4|L0GSF4_PSEST,\"D-lactate oxidase and glycolate oxidase, FAD binding subunit (EC 1.1.3.15)\",Specifically important for: Sodium D-Lactate; Glycolic Acid. This is the first step in both D-lactate and glycolate oxidation. KEGG oddly has no EC #; SEED has it as 1.1.99.14 (glycolate dehydrogenase),FAD/FMN-containing dehydrogenases,\"Glycolate dehydrogenase (EC 1.1.99.14), FAD-binding subunit GlcE\",glycolate oxidase FAD binding subunit,MSVIANDASAQLLDQVNQALAANTPLRIQGSGSKSFLGLQADGVLLDTREHRGIVSYDPTELVVTVRAGTPLTELETALDEAGQMLPCEPPHFGEGATVGGMIAAGLSGPRRPWSGSVRDFVLGSRVITGQGKHLRFGGEVMKNVAGYDLSRLMAGSFGCLGVLTEVSLKVLPKPRLCTSLRLEIDLERALLKLAEWGQQPIPISAASHDGQALHLRLEGGEGSVGAARERIGGEDLDPGYWNDLREQRLAFFADPRPLWRLSLPNNTPALGLPGDQLVDWAGAQRWLKSDADAVTIRGIAIEVGGHATCFTAGATTNPFQPLAAPLLRYHRQLKAALDPQGIFNPGRMYSEV\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF3772,Psest_3841,PSEST_RS18685,WP_015278497.1,tr|L0GQM8|L0GQM8_PSEST,\"D-lactate oxidase and glycolate oxidase, FAD-linked subunit (EC 1.1.3.15)\",Specifically important for: Sodium D-Lactate; Glycolic Acid. This is the first step in both D-lactate and glycolate oxidation. KEGG has the correct EC # but describes it as glycolate oxidase; SEED has it as 1.1.99.14 (glycolate dehydrogenase),\"glycolate oxidase, subunit GlcD\",\"Glycolate dehydrogenase (EC 1.1.99.14), subunit GlcD\",glycolate oxidase,MNILYDERVDGALPKVDKAALLAELQAQLPDLDILHRSEDLKPYECDGLSAYRTTPLLVVLPERIEQVETLLKLCHQRGVPVVARGAGTGLSGGALPLEQGILLVMARFNKILEVDPAGRFARVQPGVRNLAISQAAAPYELYYAPDPSSQIACSIGGNVAENAGGVHCLKYGLTVHNLLKVDILTVEGERMTLGSDALDSPGFDLLALFTGSEGMLGIVTEVTVKLLPKPQVAKVLLAAFDSVEKAGRAVGDIIAAGIIPGGLEMMDNLSIRAAEDFIHAGYPVDAEAILLCELDGVEADVHDDCARVSEVLKLAGATEVRLAKDEAERVRFWAGRKNAFPAVGRISPDYYCMDGTIPRRELPGVLKGISDLSEQFGLRVANVFHAGDGNMHPLILFDANQPGELERAEDLGGKILELCVKVGGSITGEHGVGREKINQMCSQFNADELTLFHAVKAAFDPSGLLNPGKNIPTLHRCAEFGRMHIHNGQLPFPELERF\r\ntransporters,Pseudomonas stutzeri RCH2,psRCH2,GFF4058,Psest_4131,PSEST_RS20130,WP_015278763.1,tr|L0GRH7|L0GRH7_PSEST,alpha-ketoglutarate sensor protein (mifS),\"Specific phenotype on a-ketoglutarate and 56% identical to PA5512 (mifS), which regulates a-ketoglutarate transport in P. aeruginosa (PMC4482717). The transporter in this organism is Psest_0084:0085.\",Signal transduction histidine kinase regulating C4-dicarboxylate transport system,C4-dicarboxylate transport sensor protein,\"two-component system, NtrC family, C4-dicarboxylate transport sensor histidine kinase DctB\",MPALPNRLRVTLIVALILVGLLLSMHWAGRLAEQRAWAERSQESQGQLELYAQAIHTQVERFRSVPALLALDSDIQGLLADPGNRALRRELNQRLEQQNHAAGSSVLYLLDRNGETIAASNWRDWSSFVGNNYAFRPYFRDAVAHDSGRYFAVGVTTGIPGYFLSSSVKSATGEVLGVLVVKLELEDMQRDWVGQPGILLIADSLDIVILTNRPAWRFRYLRPLSDEVRSRLIDVRRYAEQTLQPLQSSRVQQLSESSERRLVDGPDGRREYLWQRLALPEEDWTLHLLHDPQMVVASVRSYRLAAAGVWMTLAFLLLYLAQRRKTRRVEMRSRSELEHLVHERTRELHTAQDELVHAARMAALGQMSAALAHEINQPLTALRMQLASLRLLLDSGRDGEVREGLGHVEGLLERMAALTGHLKTFARKSPAGLRQRLSLAEVLEQALQLLSPRIRSEQVEVFRQVPAEAMVSGDAIRLEQVLINLLHNALDAMAGRPQRRLRILCQLNGDSWQLSVGDNGGGIASEHLDQVFEPFFTTKPVGQGLGLGLAVSYGIVRDMGGTLEVSNDAHGAVFTLTLLAVEGHAAE\r\ntransporters,Pseudomonas stutzeri RCH2,psRCH2,GFF4059,Psest_4132,PSEST_RS20135,WP_015278764.1,tr|L0GS32|L0GS32_PSEST,alpha-ketoglutarate DNA-binding response regulator (mifR),\"Specific phenotype on a-ketoglutarate and 75% identical to PA5511 (mifR), which regulates a-ketoglutarate transport in P. aeruginosa (PMC4482717). The transporter in this organism is Psest_0084:0085.\",\"Response regulator containing CheY-like receiver, AAA-type ATPase, and DNA-binding domains\",Nitrogen regulation protein NtrX,\"two-component system, NtrC family, C4-dicarboxylate transport response regulator DctD\",MSGQVIFIDDEAAIRQAVQQWLELSGFQVRTFSRAREALTALDRDFPGVLISDVRMPDLDGLGLLEQLVALDADLPVIMVTGHGDVPMAVQALRQGAYDFIEKPFTPERLLDSVRRAMDKRRLVCENRQLREQFARKGRIESQLLGVSRAMDNLRRQVLELAGTDVNVLIRGETGSGKEQVARCLHDFSPRAGGPFVALNCAAIPETIFESELFGHESGAFTGAQGKRIGRIEHAAGGTLFLDEIESMPLAQQVKLLRVLQEKTLERLGSNRSIEVDLRVISAAKPDLLEEVRGGRFREDLLYRLNVAELHIPPLRERREDIPLLFEHFASQAAQRHGRAAPPVTPGELTQLLAHDWPGNVRELINAAERHALGLSAPAPASSGGQSLAEQMEAFEAQCLHNALQQCKGNITEVMTQLQLPRRTLNEKMQRHGLSRSDYLPAGSADS\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF418,Psest_0419,PSEST_RS02075,WP_015275423.1,tr|L0GI16|L0GI16_PSEST,Acyl-CoA dehydrogenase (EC 1.3.8.7),\"Specifically important for: L-tyrosine disodium salt; Sodium butyrate; Tween 20. tween 20 hydrolyzes to a mix of C12, C14, and C16 fatty acids; this is probably part of beta oxidation (SEED_correct)\",Acyl-CoA dehydrogenases,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MADYQAPLRDMRFVLNEVFDAPKLWQALPALAEVVDAETADAILEEAGKITANSIAPLNRSGDEEGCRWDAGAVSTPAGYREAYQLYAKGGWVGVGGDPAFGGMGMPKVISAQVEEMMNSASLAFGLYPMLTSGACLSIYAHASEELKQKYLPNMYAGVWSGSMCLTEPHAGTDLGIIRTKAEPQADGSYKVSGTKIFITGGEHDLTENIIHLVLAKLPDAPAGSRGISLFLVPKVMVNEDGSLGERNSLSCGSIEHKMGIQASATCVMNFDGAVGWMVGEPNKGLAAMFTMMNYERLGVGIQGLATGERSYQSAIEYARDRIQSRAPTGPVAQDKAADPIIVHPDVRRMLLTMKALNEGGRAFSSYVALQLDIAKFSDDDEARQRAEAQVALLTPVAKAFLTDMGLETTVHGQQVFGGHGFIREWGQEQLVRDCRITQIYEGTNGIQALDLVGRKIVGSGGTMYQAFVDEIRAFIADAGPELTEFAEPLKAAMDNLDELTAWVIDQAKANPNEIGAASVEYLHVFGYTAYAYMWARMAAVAVAKREEGDFYQSKLGTARFYFARLLPRIHSLSASVKAGSESLYLLDAAQF\r\ntransporters,Pseudomonas stutzeri RCH2,psRCH2,GFF4196,Psest_4269,PSEST_RS20825,WP_015278892.1,tr|L0GPQ3|L0GPQ3_PSEST,\"C4-dicarboxylate transporter, DctQ subunit\",Important for succinate and fumarate utilization (KEGG_correct). The other components (Psest_4268 and Psest_4270) were already annotated correctly,\"TRAP-type C4-dicarboxylate transport system, small permease component\",\"TRAP-type transport system, small permease component, predicted N-acetylneuraminate transporter\",\"C4-dicarboxylate transporter, DctQ subunit\",MNALWRVWDHFEEGFIAFLLAAMTLVTFVYVILNNLYTLFYNLGDRFEGSADFWFAIGDFIIGLAQAMTWSTALTKALFAWLIFSGLAYGVRTAGHIGVDALVKLAPRHIQRIIGIIACLLCLGYAGLLTVASFEWIQTLFIANIGAEDLGHIGVKQWHIGMIVPFGFAMVFIRFAEIFVRILRNEQTGLGLADEAADALKHGEEEPK\r\ncatabolism,Pseudomonas stutzeri RCH2,psRCH2,GFF765,Psest_0779,PSEST_RS03815,WP_015275719.1,tr|L0GHV7|L0GHV7_PSEST,tyrosine aminotransferase (EC 2.6.1.57),Specifically important for: L-tyrosine disodium salt. This is cofit with 4-hydroxyphenylpyruvate dioxygenase (Psest_0779) which would be the second step in tyrosine catabolism (KEGG_correct),Aspartate/tyrosine/aromatic aminotransferase,Aspartate aminotransferase (EC 2.6.1.1),aromatic-amino-acid transaminase,MHFGQIPRVPGDPILGLMDLYRADPNPAKLDLGVGVYKDAQGLTPIPRAVKLAEQRLVDGEQSKSYIGGHGDAQFGALLLRQALGSRAIALGEQRAGCTQAPGGTGALRLAGEFIAKCLPGRSIWLSDPTWPIHETLFAAAGLRVQHYPYVGADNRLDVEGMLAALQQVPPGDVVLLHACCHNPTGFDLNHDDWLRVLEVVRARELLPLFDFAYQGFGDGLEEDAWAVRLFAETLPEMLITTSCSKNFGLYRERTGALIAVTSDAERLLDVRSQLASLARNLWSTPPAHGAAVVATILADEPLRQIWQGEVERMRRRIASLRQGLVEALMPYGLAERFAHIAQQRGMFSYTGLTAEQVRRLRAEDSVYLVESGRANVAGLDAERLDALAKAIARVVSN\r\ntransporters,Pseudomonas stutzeri RCH2,psRCH2,GFF84,Psest_0084,PSEST_RS00420,WP_015275111.1,tr|L0GG09|L0GG09_PSEST,\"alpha-ketoglutarate TRAP transporter, 4TM/12TM components\",\"specific phenotype on a-ketoglutarate and no other transporter for this substrate is apparent in the fitness data. (Mutants in another TRAP system, Psest_4268:Psest_4270, have a much milder defect in a-ketoglutarate utilization).\",\"TRAP transporter, 4TM/12TM fusion protein\",\"TRAP transporter, 4TM/12TM fusion protein, unknown substrate 1\",,MSESQGLHASPSEWPRALFYVALLFSIYQIVTAAFHPVSSQVLRAGHVGFLLLLVFLCYPARGNGKPFQPVAWLLGLAGFATFFYQWYFEADLIQRSGDMTTADMVVGLTLIVLVFEAARRVMGIALPIICALFLAYGLLGEYLPGDLAHRGYYLDQIVNQLSFGTEGLYGTPTYVSATYIFLFILFGSFLEQAGMIKLFTDFAMGLFGHKLGGPAKVSVVSSALMGTITGSGVANVVTTGQFTIPLMKRFGYRPAFAGGVEATSSMGSQIMPPVMGAVAFIMAETINVPFVEIAKAALIPALLYFGSVFWMVHLEAKRAGLKGLPKDECPSAMAAVKERWYLLIPLVVLVWLLFSGRTPMFAGTIGLALTAIVILGSAIILKVSNFALRIAFWIALGLLCAGFFQLGIGVIFGVIAALVAVCWFIKGGRDTLVICLHALVEGARHAVPVGIACALVGVIIGVVSLTGVASTFAGYILAVGENNLFLSLLLTMLTCLVLGMGIPTIPNYIITSSIAAPALLDLGVPLIVSHMFVFYFGIMADLTPPVALACFAAAPIAKERGLKISMWAIRIAIAGFIVPFMAVYNPALMMQGGDWGATLYMLFKAAFAVGLWGAVFTGYLQRPMALWEKVLAFAAAASMVLAMPISDEIGFALGALFLIQHIWRARRAEPATA\r\ntransporters,Pseudomonas stutzeri RCH2,psRCH2,GFF85,Psest_0085,PSEST_RS00425,WP_015275112.1,tr|L0GD92|L0GD92_PSEST,\"alpha-ketoglutarate TRAP transporter, solute receptor component\",\"specific phenotype on a-ketoglutarate and no other transporter for this substrate is apparent in the fitness data.  (Mutants in another TRAP system, Psest_4268:Psest_4270, have a much milder defect in a-ketoglutarate utilization).\",\"TRAP transporter solute receptor, TAXI family\",\"TRAP transporter solute receptor, unknown substrate 1\",,MRLTKRLGLLAAAAAFTASTAAVAAPTFINILTGGTSGVYYPIGVALSQQYNKIDGAKTSVQATKASVENLNLLQAGRGELAFSLGDSVEDAWNGVEDAGFKAPLKRLRAIAGTYNNYIQIVASAESGIKTLDDLKGKRISVGAPKSGTELNARAIFKAAGLDYKDMGRVEFLPYAESVELIKNRQLDATLQSSGLGMAAIRDLASTMPVTFVEIPAEVVEKIESDAYLAGVIPAGTYDGQDADVPTVAITNILVTHEKVSDEVAYQMTKLMFDNLAALGNAHSAAKDIKLENATKNLPIPLHPGAERFYKEAGVLK\r\ncatabolism,Shewanella loihica PV-4,PV4,5208605,Shew_1116,SHEW_RS05745,WP_011864920.1,tr|A3QBY9|A3QBY9_SHELP,N-acetylglucosamine kinase (EC 2.7.1.59),Specifically important for: N-Acetyl-D-Glucosamine. The first step in NAG utilization (SEED_correct),\"ATPase, BadF/BadG/BcrA/BcrD type (RefSeq)\",N-acetylglucosamine kinase of eukaryotic type (EC 2.7.1.59),,MGFNQTEEQALVIGIDGGGSKCRATIYAADDSVLGTGVAGRANPLYGLTHTFDSISRATELALQDAGLKAGDGKTMVAGVGLAGVNVAHLYQAIKAWQHPFAEMYVTTDLHTACIGAHKGGDGAVIITGTGSCGYAHVGEQSLSLGGHGFALGDKGSGAWLGLQAAQQVLLDLDGFGPATQLTERLLEHFKVNDAMGIVEHLAGKSSGCYATLARTVLSCAQAQDEVAKAIVVEGAEYISALAHKLFEIHPPRFSMIGGLAEPLAPWLDKRVVDKISPILAPPELGAAYFARQQLGFSS\r\ntransporters,Shewanella loihica PV-4,PV4,5208943,Shew_1444,SHEW_RS07400,WP_011865243.1,tr|A3QCW3|A3QCW3_SHELP,\"dicarboxylate TRAP transporter (succinate, fumarate, L-malate, and alpha-ketoglutarate), large permease component\",\"Important for utilizing succinate, fumarate, and L-malate, as expected, and also for utilizing a-ketoglutarate\",\"TRAP dicarboxylate transporter, DctM subunit (RefSeq)\",\"TRAP-type C4-dicarboxylate transport system, large permease component\",\"C4-dicarboxylate transporter, DctM subunit\",MTIATLFISLFLCMLLGMPIAIALGFSSMLTILLFSDDSLASVALKLYESTSEHYTLLAIPFFILSSAFLSTGGVARRIIDFAMDSVGHIRGGLAMASVMACMLFAAVSGSSPATVAAIGSIVIVGMVRAGYPEKFAAGVITTSGTLGILIPPSIVMLVYAAATEVSAARMFMAGLIPGLMMGLLLMLAIYIVARIKKLPSRPFPGFRPLAISSAKAMGGLALIVIVLGSIYGGIASPTEAAAVACVYAYFIAVFGYRDIGPLKNVSWRDSGEPLIRAILRNLGFMVLAVFKTPADKEIRHVVRDGAKVSIMLLFIIANAMLFAHVLTTERIPHLIAETIVGMGLPVWGFLIIVNLLLLAAGNFMEPSAILLIMAPILFPIATQLGIDPIHLGIIMVVNMEIGMLTPPVGLNLFVTAGITGRSMGWVIHSCIPWLALLLFFLALITYIPQISLFLPEYIDKLNGY\r\ntransporters,Shewanella loihica PV-4,PV4,5208944,Shew_1445,SHEW_RS07405,WP_011865244.1,tr|A3QCW4|A3QCW4_SHELP,\"dicarboxylate TRAP transporter (succinate, fumarate, L-malate, and alpha-ketoglutarate), small permease component\",\"Important for utilizing succinate, fumarate, and L-malate, as expected, and also for utilizing a-ketoglutarate\",tripartite ATP-independent periplasmic transporter DctQ (RefSeq),,\"C4-dicarboxylate transporter, DctQ subunit\",MMSRFFSHIEEVVLNALITAMTLLVFVEVIARFFFNTGFLWIQELTLTICGWFVLFGMSYGVKVGAHIGVDAFVKKLPAQGRKYTAILAVAICLIYCGMFLVGSWDYLAKMYQIGVPMEDIDLPHFLIGGLDGDFAWEYLRIDVEEPAVPLWTSQSILLIGFILLTWRFLQLALAIITNKTDGFAFADEAKESMHLIDQEAQADDKQPGDKK\r\ntransporters,Shewanella loihica PV-4,PV4,5208945,Shew_1446,SHEW_RS07410,WP_011865245.1,sp|A3QCW5|DCTP_SHELP,\"dicarboxylate TRAP transporter (succinate, fumarate, L-malate, and alpha-ketoglutarate), solute receptor component\",\"Important for utilizing succinate, fumarate, and L-malate, as expected, and also for utilizing a-ketoglutarate\",\"TRAP dicarboxylate transporter, DctP subunit (RefSeq)\",\"TRAP-type C4-dicarboxylate transport system, periplasmic component\",C4-dicarboxylate-binding protein DctP,MTRLNTCTFIKQIVKMTSIAALLGASLNSWAAPTEIKFSHVVAENTPKGQMALKFKQLVEERLPGEYQVNVFPNSQLFGDNNELSALLLNDVQFVAPSLSKFERYTKKLQLFDLPFLFKDMDAVNRFQQSDAGQQLLNSMKRKGVVGLGYLHNGMKQFSASSPLVLPEDAQGKKFRIMASDVLAAQFQAVEAIPVKKPFSEVFTLLQTRAIDGQENTWSNIYSKKFYEVQSNITESNHGVLDYMVVTSNTFWKSLPADKRKVIKASLDEAIAYGNEIAAAKVNKDKQAIIDSKRSEVTYLTPEQRAAWVNAMKPVWAQFEDKIGKDLIDAAVASNE\r\ncatabolism,Shewanella amazonensis SB2B,SB2B,6936372,Sama_0560,SAMA_RS02985,WP_011758678.1,tr|A1S312|A1S312_SHEAM,D-mannose isomerase (EC 5.3.1.7),Specifically important for: D-Mannose; D-Mannitol. This is the first step in D-mannose catabolism. D-mannitol is probably oxidized to mannose first. (SEED_correct),hypothetical protein (RefSeq),D-mannose isomerase (EC 5.3.1.7),,MKFYNRDFLLSHSQSILDFYDPRVLDASGGYFHNYYDDGSLFEPGFRQLVSSCRITVNYARAADILDKPEYLAHARHGLNYLLNVHLQADERFAWTLKSHRPEDMTQQAYGYAFALLAFAACRKSGILKDNNKLLWIYNLLEQRFWQPEYGLYADEIGADGVLSDYRGQNANMHLCEAMIAAFEASGEGRFLDRAMEIADKIANRQAALTGGIIWEHFTPGFAINWEYNKDDPKNLYRPWGFQGGHQTEWAKLLLSLARHSHQPWLISRAKTLFDTAFEKSWDKEHGGMVYGFGPNGDWCDDDKYFWVQAESFAAAAMLYQQTGEQKYLDAYNALWNYAWQHFVDHEHGAWFRVLYRDNRKYSNEKSTAGAKCDYHTLGACFDSLRDLT\r\ntransporters,Shewanella amazonensis SB2B,SB2B,6936374,Sama_0562,SAMA_RS02995,WP_011758680.1,tr|A1S314|A1S314_SHEAM,D-mannitol and D-mannose transporter (MFS superfamily),Specific phenotype on mannitol and mannose and no other transporter for these compounds is apparent in the fitness data. SEED_correct,glucose/galactose transporter (RefSeq),\"Predicted mannose transporter, GGP family\",,MAFVSSTTPQNGSAAPAQSHQQLLFGAMTSLFFIWGFITALNDILIPHLKGIFDLSYTQAMLVQFCFFGAYFLVSPLAGVLIARIGYLRGIIFGLSTMATGCLLFYPASSLEQYALFLLALFVLASGITILQVSANPFVARLGPERTAASRLNLAQALNSLGHTLGPLFGSLLIFGAAAGTHEAVQLPYLLLAAVIGIIAVGFIFLGGKVKHADMGVDHRHKGSLLSHKRLLLGALAIFLYVGAEVSIGSFLVNYFAEPSIGGLDEKSAAELVSWYWGGAMIGRFAGAALTRRFNPAMVLAANAVFANLLLMLTIVSSGELALVAVLAVGFFNSIMFPTIFTLAIEGLGELTSRGSGLLCQAIVGGALLPVIQGVVADNVGVQLSFIVPTFCYFYICWYAFFARNRMNGETAS\r\ncatabolism,Shewanella amazonensis SB2B,SB2B,6936606,Sama_0794,SAMA_RS04165,WP_011758911.1,tr|A1S3P5|A1S3P5_SHEAM,gamma-glutamyl-gamma-aminobutyrate hydrolase [EC: 3.5.1.94],\"Specifically important for: Putrescine Dihydrochloride. Similar to puuD (PUUD_ECO57), a step in putrescine catabolism. Also, is cofit with other genes from the gamma-glutamyl-putrescine pathway.\",hypothetical protein (RefSeq),\"Para-aminobenzoate synthase, amidotransferase component (EC 2.6.1.85)\",putative glutamine amidotransferase,MPLQQESARQERKPVILMSMGQQDRNGHAYQVMTHKYMQPVVDISDCIPLLIPTCFGVADIEQYLDMADGVYLSGAASNIDPSLYGQENLTPEKKQDLARDLVDIALIKGAVKRGLPILGICRGMQEMNIAFGGDLYQKVHDEDHLNDHREDPDTPPDVQYGASHSISMVKGSWLHKLLGDTIEVNSLHGQGIKTLGKGLEALALAEDGLVEALHAPYLPQFTLGVQWHPEWKALENPDSIKIFKAFGEACRRRAGSALDLRIDKAS\r\ncatabolism,Shewanella amazonensis SB2B,SB2B,6936757,Sama_0944,SAMA_RS04925,WP_011759060.1,tr|A1S445|A1S445_SHEAM,N-acetylglucosamine kinase (EC 2.7.1.59),Specifically important for: N-Acetyl-D-Glucosamine. This is the first step in NAG utilization (SEED_correct),hypothetical protein (RefSeq),N-acetylglucosamine kinase of eukaryotic type (EC 2.7.1.59),,MAFDQTLEGQLYLGIDGGGSKCRATLYNNKLDVLGTGVAGRANPLFGLEQTFESILASTEMALRDAGLSLNDASLLVAGLGLAGVNVPRLLADVQAWQHPFKTMYVTSDLHTACIGAHQGGDGAVIITGTGSCGYVHVGDESLSLGGHGFALGDKGSGAWLGLRAAEHVLLQLDGFAEPTALTERLFANLGVSDALGIVENLAGRSSSCYATLAREVFAAADEGDKVAVGILREGAAYISEMARKLFTLEPARFSMIGGLAEPLQKWLDADVVARLEPSLAAPETGAVLFAIQQHNKQSAA\r\ntransporters,Shewanella amazonensis SB2B,SB2B,6937231,Sama_1401,SAMA_RS07300,WP_011759516.1,tr|A1S5F2|A1S5F2_SHEAM,D-cellobiose transporter (MFS superfamily),\"Specific phenotype on cellobiose and no other transporter for this compound was apparent in the fitness data. Also, this protein is 70% identical to bglT from S. fridgimarina, which is a cellobiose transporter (PMC2996990).\",sugar (glycoside-Pentoside-hexuronide) transporter (RefSeq),\"Predicted beta-glucoside transporter, GPH family\",\"glycoside/pentoside/hexuronide:cation symporter, GPH family\",MLSVREKIAYGLGDTASNIVFQTVMLFLTFFYTDIFGISAAYVGTMFLAVRIMDAVTDPLMGYLADRTNTRWGRYRPYLLWFAFPFAAISVLAFTTPDLSESGKEWYAFATYALLMLAYTAINIPYCALGAALTTNPAERVSVQSYRFVFAMLGGVMVSALTLPLVDFFGQGDKAKGYQLTILAMSIVGTVMFLLCFIGTKERDFSSDDNSGNFKAASKALWANDQWRVLSAAAIFLLTGLVLKSTLAIYYVKYFLGREDMISVFVTSGVVGNIFGVALAKKLADKMCKVKAYIRLQLIAAALCMAAWFVPADQYVLALVFYIAWNFTINMGTPLLWAKMADTVDYGQFKTGVRTTGLVYSSVIFFIKLGLAIGGALGGWLLAAYGYQPDVAQTEETRAGILLCFTLYPALASIAVAFVMRHYTLDSQRVAEISVSLQQKHSGT\r\ncatabolism,Shewanella amazonensis SB2B,SB2B,6937235,Sama_1405,SAMA_RS07320,WP_011759520.1,tr|A1S5F6|A1S5F6_SHEAM,glucokinase (EC 2.7.1.2),\"Specifically important for: D-Cellobiose. After cellobiose is cleaved to 2 glucose (by Sama_1404), it would be phosphorylated to enter glycolysis (SEED_correct)\",fructokinase (RefSeq),\"Glucokinase, ROK family (EC 2.7.1.2)\",fructokinase,MYRSGIDLGGTKIELVTLNEKGEEVFRKRVPTPKDYRATLEAVAGLVHDSEKETGQVSSVGIGIPGVVSAVTGRVKNSNAVWLNGQPMDKDLGAMLGREVRIANDANCFAVSESVDGGGAGKTLVFGAILGTGCGAGIAINHKVHGGGNGIGGEWGHNPLPWMTADEFNSTRCFCGNADCIETFVSGTGFVRDFRAHGGEAASGIEIVALMGKGEPLAEAAFGRFIDRLARALAHVINLLDPDVIVLGGGVSNIDEIYEYLPALLPKYVLGGECATKVVKNHHGASSGVRGAAWLWAPGEQAALPGLQEL\r\ncatabolism,Shewanella amazonensis SB2B,SB2B,6937966,Sama_2099,SAMA_RS10975,WP_011760212.1,tr|A1S7E8|A1S7E8_SHEAM,UMP phosphatase (EC 3.1.3.5),\"Specifically important for: Thymidine. Probably required for thymidine utilization because it allows overflow metabolism of pyrimidine intermediates, as with umpH from E. coli (which is 72% identical), see PMID 23903661\",UMP phosphatase (RefSeq),Phosphatase NagD predicted to act in N-acetylglucosamine utilization subsystem,NagD protein,MKNIICDIDGVLLHDNKLVPGSDKFIHRVLEQGNPLVILTNYPVQTGKDLQNRLDAAGINVPEECFYTAAMATADFLKHQEGSKAFVIGEGALTHELYKAGFTITDINPDFVIVGETRSYNWDMIHKAARFVADGARFIATNPDTHGPAFSPACGALCAPIERITGRKPFYVGKPSSWIVRSALNHINGHSENTVIIGDNMRTDILAGFQAGLETILVLTGVSRLEDIEKEPFRPNHVFNCAGDIDIF\r\ntransporters,Shewanella amazonensis SB2B,SB2B,6938088,Sama_2209,SAMA_RS11590,WP_011760322.1,tr|A1S7Q8|A1S7Q8_SHEAM,\"alpha-ketoglutarate TRAP transporter, solute receptor component\",\"specific phenotype on a-ketoglutarate. A putrescine ABC transporter (Sama_2642:Sama_2638) is also important in this condition, which is not explained. This organism can also utilize succinate or fumarate (but not L-malate), which we do not have fitness data for these under aerobic conditions. This could also transport some C4 compounds.\",C4-dicarboxylate-binding periplasmic protein (RefSeq),\"TRAP-type C4-dicarboxylate transport system, periplasmic component\",C4-dicarboxylate-binding protein DctP,MKVSKPATLQSLFTLGKASLLATVLGFSFGAVAEPVEIKFSHVVAENTPKGQMALKFKELVESRLPGEYKVSVFPNSQLFGDNNELAALLLNDVQLVAPSLSKFERYTKKLQVFDLPFLFEDMDAVDRFQQSEAGQQLLNSMSRKGLVGLGYLHNGMKQFSANNALSLPGDAAGKKFRIMPSDVIAAQFEAVGAIPVKKPFSEVFTLLQTRAIDGQENTWSNIYSKKFYEVQTHITESNHGVLDYMLVTSETFWKSLPKDKREIIKQSMDEAVALGNKLALEKANEDRQLILDSKRVELVTLTPEQRQAWVNAMRPVWSQFEDKIGKDLIEAAESANKP\r\ntransporters,Shewanella amazonensis SB2B,SB2B,6938089,Sama_2210,SAMA_RS11595,WP_011760323.1,tr|A1S7Q9|A1S7Q9_SHEAM,\"alpha-ketoglutarate TRAP transporter, small permease component\",\"specific phenotype on a-ketoglutarate. A putrescine ABC transporter (Sama_2642:Sama_2638) is also important in this condition, which is not explained. This organism can also utilize succinate or fumarate (but not L-malate), which we do not have fitness data for these under aerobic conditions. This could also transport some C4 compounds.\",\"C4-dicarboxylate transporter, putative (RefSeq)\",,\"C4-dicarboxylate transporter, DctQ subunit\",MISRIFGYFEEGVLNLLITLMTLLVFMEVIARFFFNTGFLWIQELTLTFCGWFVLFGMSYGIKVGAHIGVDAFVKKLKPGARRISALLAVSICLIYCAMFLKGTWDYLSQIYHIGIGMEDLDVPSVLMKQMSEDFAWDVMRIDPEDPAIPLWISQSILLLGFVMLTWRFLELAVAIFRGTSNGFSFHDEAKESMHLADEQSGANDNNNDGAKS\r\ntransporters,Shewanella amazonensis SB2B,SB2B,6938090,Sama_2211,SAMA_RS11600,WP_011760324.1,tr|A1S7R0|A1S7R0_SHEAM,\"alpha-ketoglutarate TRAP transporter, large permease component\",\"specific phenotype on a-ketoglutarate. A putrescine ABC transporter (Sama_2642:Sama_2638) is also important in this condition, which is not explained. This organism can also utilize succinate or fumarate (but not L-malate), which we do not have fitness data for these under aerobic conditions. This could also transport some C4 compounds.\",C4-dicarboxylate transport protein (RefSeq),\"TRAP-type C4-dicarboxylate transport system, large permease component\",\"C4-dicarboxylate transporter, DctM subunit\",MTIATLFLTLFLCMLLGMPIAIALGFSSMLTILLFSNDSLASVALKLYEATSEHYTLLAIPFFILSSAFLSTGGVARRIIDFAMDSVGHIRGGLAMASVMACMLFAAVSGSSPATVAAIGSIVIVGMVRAGYPQKFAAGVITTSGTLGILIPPSIVMLVYAAATEVSAARMFMAGLIPGLLMGVLLMVAIYIVARIKNLPSRPFPGVKALSLSSAKAMGGLALIFIVLGSIYGGVASPTEAAAVACVYAYLVAVFGYRDIGPLKEVPWRKEGEAILAAIVRNLLHVGLGLIKTPTDKEIRNVVRDGAKVSIMLLFIIANAMLFAHVLTTERIPHIIAETIVGWGLPPWGFLIIVNLLLLAAGNFMEPSAILLIMAPILFPIAVQLGIDPIHLGIIMVVNMEIGMLTPPVGLNLFVTAGITGRSIGWVIHACLPWLLLLLGFLVLITYVPQISLFLPEYLDSLRGFK\r\ncatabolism,Shewanella amazonensis SB2B,SB2B,6938110,Sama_2231,SAMA_RS11700,WP_011760344.1,tr|A1S7T0|A1S7T0_SHEAM,glucokinase (EC 2.7.1.2),\"Specifically important for: D-Maltose monohydrate. Maltose is presumably cleaved to glucose, so the annotation as glucokinase (but not as fructokinase) fits. The other glucokinase (Sama_1405) is not important on maltose. (SEED_correct)\",fructokinase (RefSeq),\"Glucokinase, ROK family (EC 2.7.1.2)\",fructokinase,MMRMGVDLGGTKIELVALGEDGSELFRKRIATPREYQGTLNAVVTLVNEAEATLGTQGSLGIGIPGVISPYTGLVKNANSTWINGHPLDRDLGALLNREVRVANDANCFAVSEAVDGAAAGKRVVFGAILGTGCGAGLAFDGRVHEGGNGIGGEWGHNPLPWMRPDEFNTTECFCGNKDCIETFVSGTGFVRDFRNSGGTAQNGAEIMSLVDAGDELANLVFDRYLDRLARSLAHVINMLDPDAIVLGGGMSNVQAIYARLPAILPKYVVGRECRTPVVQNLYGCSSGVRGAAWLWEKR\r\ncatabolism,Shewanella amazonensis SB2B,SB2B,6938540,Sama_2643,SAMA_RS13845,WP_011760751.1,tr|A1S8Y9|A1S8Y9_SHEAM,Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19),Specifically important for: Putrescine Dihydrochloride. Putrescine is catabolized via gamma-aminobutyrate (SEED_correct),putative aminotransferase (RefSeq),Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19),putrescine aminotransferase,MQQQQQDTISALQAMDAAHHLHPFTDSADLAKRGTRVIERAEGVYIWDAKGNKLLDAMAGLWCVNVGYGRKSIADAAYAQLQTLPFYNNFFQCTHEPAIRLASKIASLAPGHMNRVFFTGSGSEANDTNLRMVRRYWDLKGMPSKKTIISRKNAYHGSTVAGASLGGMGFMHQQGDLPIPGIVHIDQPYWFGEGRDMSPEAFGIKTAQALEAKILELGEDKVAAFIAEPFQGAGGVIIPPDSYWNEIKRILEKYNILFILDEVISGFGRTGNWFAAQTLGLKPDLITIAKGMTSGYIPMGGVIVSDRVADVLISDGGEFAHGFTYSGHPVAAAVALENIRILEEERLVDKVRTDTGPYLQDRLQTLSAHPLVGEVRGMGMVGAIELVADKHSMVRFGSEISAGMLCREACIESGLVMRAVGDTMIISPPLCITRDEIDELIFKASQALSLTLEKIAARGN\r\ncatabolism,Shewanella amazonensis SB2B,SB2B,6938542,Sama_2645,SAMA_RS13855,WP_011760753.1,tr|A1S8Z1|A1S8Z1_SHEAM,Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),Specifically important for: Putrescine Dihydrochloride. Part of the gamma-glutamyl-putrescine pathway for putrescine catabolism (SEED_correct),glutamine amidotransferase (RefSeq),Gamma-glutamyl-GABA hydrolase (EC 3.5.1.94),putative glutamine amidotransferase,MSDATIPLIGVSACNTPIGLQTFNTVGEKYLLGVINGTGGWPLIIPSIGDGMPTELLLERLDGILFTGSPSNVEPHHYSGPASEPGTHHDPRRDATTLPLIKAAIAAGVPVLGICRGFQEMNVAFGGSLHQKLHETGVFEEHREDRTAPLEVQYGLAHTVTLEPGGVIFEAWGRSSAEVNSVHTQGVERLGNGLRPEAYAPDGLIEAFSVTDAKNFALGVQFHPEWKVADNAFYLSIFNAFGDACRRRAQERAR\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b20002,SM_b20002,SM_b20002,NP_436545.1,tr|Q92XF6|Q92XF6_RHIME,\"ABC transporter for Lactose, ATPase component\",Specific phenotype on Beta-Lactose. (KEGG_correct),sugar ABC transporter ATP-binding protein,\"Various polyols ABC transporter, ATP-binding component\",lactose/L-arabinose transport system ATP-binding protein,MSELQLSDVRKSYGGLEVIKGVDLDIKSGEFVVFVGPSGCGKSTLLRMIAGLEEISSGDLTIDDVRMNDVDPSKRGIAMVFQSYALYPHMTVRENMGFALRFAGVPRAEIEKRVNEAAHILELGALLDRKPKQLSGGQRQRVAIGRAIVRHPKIFLFDEPLSNLDAELRVHMRIEIARLHKQLATTIVYVTHDQVEAMTLADKIVVMRAGVVEQVGSPLDLYDDPANLFVAGFIGSPKMNFLKGVIEIDEDQAYARLPDYGDAKIPVTLQAAAGTAVTIGIRPEHFDEAGPAALDLAIDMLEHLGGETFAYARHHGNGELIVVETKNGRGLKTGDRLTARFDPVSVLVFDGEGKRLRS\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b20325,SM_b20325,SM_b20325,NP_436851.1,tr|Q7ANS2|Q7ANS2_RHIME,\"ABC transporter for D-Trehalose, periplasmic substrate-binding component\",Specific phenotype on D-Trehalose dihydrate.,trehalosemaltose-binding protein,\"Maltose/maltodextrin ABC transporter, substrate binding periplasmic protein MalE\",,MNVKPFVRTLISCAAIAGAIDLAAAAELSMAANSTGKNLSFLRDQIARFEKETGHKVNLVTMPASSSEQFSQYRLWLAAGNKDVDVYQTDVIWAPQLAEQFVDLTEATKDVVGEHFPSIIQSQTVNGKLVALPFYTDAPALYYRKDLLDKYGKTPPKTWDELAATAKEVQDKERAAGSADIWGFVFQGNAYEGLTCNALEWIKSSGGGQIIEPDGTISVNNEKAAAAVEKVKEWIGTIAPKGVLAYQEEESRGVWQTGNAVFMRNWPYAYALGNGDDSAVKGKFEVAPLPAATDGDQPSSTLGGWNLAVSKYSDEQEAAIAFVKFLGSAETQKVRAIELSNLPTIAALYDDPEVAAAQPFMPHWKPIFQSAVPRPSAVAKVKYNEVSSKFWSAVHNTLSGNGTAAENLELLEVELTELKGDAW\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b20326,SM_b20326,SM_b20326,NP_436852.1,tr|Q7ANS1|Q7ANS1_RHIME,\"ABC transporter for D-Trehalose, permease component 1\",\"Specific phenotypes on D-Trehalose dihydrate. no phenotype on maltose, and there is an alpha-glucoside transporter with specific phenotype on maltose.\",trehalosemaltose transporter permease,\"Maltose/maltodextrin ABC transporter, permease protein MalF\",trehalose/maltose transport system permease protein,MTDLSLADRPAALAHGGRIGSDLQAQRVRSAWLFLAPTFLVLALVAGWPLIRTIYFSFTNASLTNLSGAEFVGFANYLSWITLKSGRTIYRGLLADPAWWNAVWNTLKFTVLSVSIETALGLIVALVLNAQFPGRGLVRAAILIPWAIPTIVSAKMWAWMLNDQFGILNDMLIGLGLIGEKIAWTASPDTAMIAELIVDVWKTTPFMALLILAGLQMVPGDIYEAAKIDGVHPVRVFWRVTLPLIRPALMVAVIFRMLDALRIFDLIYVLTPNNAQTKTMSVMARENLFDFDKFAYGAAASTMLFLIIATITILYMWLGRLNLSGGER\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b20327,SM_b20327,SM_b20327,NP_436853.1,tr|Q7ANS0|Q7ANS0_RHIME,\"ABC transporter for D-Trehalose, permease component 2\",\"Specific phenotypes on D-Trehalose dihydrate. no phenotype on maltose, and there is an alpha-glucoside transporter with specific phenotype on maltose.\",trehalosemaltose transporter permease,\"Maltose/maltodextrin ABC transporter, permease protein MalG\",trehalose/maltose transport system permease protein,MVVAIAKRTAFYALVAVIILVAVFPFYYAILTSLKSGTALFRIDYWPTDISLANYAGIFSHGTFVRNLGNSLLVATLVVAISLLLAVTAAYALARVRFRGRGLLLLTILSVSMFPQIAVLAGLFELIRFVGIFNTPLALIFSYMIFTLPFTVWVLTTFMRDLPIEIEEAAIVDGASPWVVITRVFMPLMWPALVTTGLLAFIAAWNEFLFALTFTSSNTQRTVPVAIALLSGGSQFEIPWGNIMAASVIVTVPLVVLVLIFQRRIISGLTAGGVKG\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b20328,SM_b20328,SM_b20328,NP_436854.1,tr|Q7ANR9|Q7ANR9_RHIME,\"ABC transporter for D-Trehalose, ATPase component\",Specific phenotype on D-Trehalose dihydrate.,trehalosemaltose transporter ATP-binding protein,Maltose/maltodextrin transport ATP-binding protein MalK (EC 3.6.3.19),trehalose/maltose transport system ATP-binding protein,MAELQLRDIRKSFGAFDVIKGVSMEIKPGEFMVFVGPSGCGKSTLLRLIAGLEEITSGTLAFDGQIVNQLTPSRRGIAMVFQSYALYPHMTVYENMAFGMQLAGKDKQQCRKRVEAAAEMLQLTPYLERLPRQLSGGQRQRVAIGRAIVRDPKVFLFDEPLSNLDAALRVATRLEIAKLHRSMHKTTMIYVTHDQVEAMTLADRICVLRDGLVEQIGTPLELYETPNSVFVAGFIGSPKMNFLSGAFAEPYKADTIGIRAEHLEIDEQGGEWSGTVIHSEMLGSDSYIYLDIGTGEPVIVRESGIAKHQPGQTIRISPAAGQVHRFDAGGRALGRMQMRGAA\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b20329,SM_b20329,SM_b20329,NP_436855.1,tr|Q7ANR8|Q7ANR8_RHIME,required for glucoside 3-dehydrogenase activity on raffinose or trehalose (thuA) (EC 1.1.99.13),Specifically important for: D-Raffinose pentahydrate; D-Trehalose dihydrate. a close homolog is described by PMID 23772075; (SEED_correct),\"ThuA protein, function\",Trehalose utilization protein ThuA,,MPQITRRMTLSINAIVWGENIHEQTNAVVREIYPDGMHNTIAAALNSDPGIDATTATLQEPEHGLSETRLAAADVLLWWGHKDHGAVDDAIVERVAKRVWEGMGLIVLHSGHFSKVFKRLMGTPCALKWREAGERERVWVVNPRHPIAEGLGENFVIENEEMYGEQFSVPEPLETVFISWFAGGEVFRSGLTWRRGAGNIFYFRPGHETYPTYHDATVHKVLRNAVKWAYNPQGTYKAIHDAPNVPVEKALEPIVERGPRLHRAGEAGYR\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b20330,SM_b20330,SM_b20330,NP_436856.1,tr|Q7ANR7|Q7ANR7_RHIME,glucoside 3-dehydrogenase; active on raffinose or trehalose (thuB) (EC 1.1.99.13),Specifically important for: D-Raffinose pentahydrate; D-Trehalose dihydrate. a close homolog is described by PMID 23772075,\"trehalosemaltose utilization protein, function\",Nucleoside-diphosphate-sugar epimerases,,MKGTPMRLLILGTGGMANSHAKAFAEIEGVEMVGAVDVDPSRAKAFAVTHGIENTFTSLDDAIAWGEFDAATNVTPDKAHHPTTLALIAAGKHVLCEKPLAENYEKAAEMAAAAERAGLVTMVNLTYRNVAPLQKARELVVAGEIGRVRHLEASYLQSWLVSRAWGDWASESKWLWRLSTKHGSNGVLGDVGIHILDFAGYGANSSVERVFARLKAFDKAPDNRIGEYDLDANDSFAMTAEFENGAMAVIHASRWATGHLNELRLRLHGDRGALEVIHTPDGSSLRGCMGPDVEKAVWRTVDAGTVPTNYQRFVEAVKAGRTVEPGFRHAADLQRVLDLAIETERSRRELGVPDIDAVVQERAVG\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b20890,SM_b20890,SM_b20890,NP_437724.1,tr|Q92UE7|Q92UE7_RHIME,L-arabonate dehydratase (EC 4.2.1.25),Specifically important for: L-Arabinose. L-arabonate is an intermediate in the oxidation of L-arabinose (SEED_correct),dihydroxy-acid dehydratase,L-arabonate dehydratase (EC 4.2.1.25),dihydroxy-acid dehydratase,MKKKAEWPRKLRSQEWFGGTGKNAIMHRSWMKNQGLPADTFDGRPIIGICNTWSELTPCNAHLRDLAERVKRGVYEAGGFPVEFPVFSTGESTLRPTAMMFRNLAAMDVEESIRGNPVDGVVLLGGCDKTTPSLLMGAASVDIPAIVVSGGPMLNGKWRGKDVGSGTAIWQFSEMVKSGEMSLEEFMDAEQGMARSAGSCMTMGTASTMASMAEALGMTLSGNAAIPAVDARRRVISQLTGRRIVEMVKEDLKPSDILTKEAFENAIRVNGAVGGSTNAVLHLLALAGRVGVDLSLDDWDRLGRDVPTIVNLQPSGKYLMEEFYYAGGLPVVIKAVAEMGLLHNDAITVSGDTIWNDVKGVVNYNEDVILPREKALTKSGGIAVLRGNLAPRGAVLKPSAASPHLMQHKGRAVVFESIEDYHARINREDLDIDETCIMVLKYCGPKGYPGMAEVGNMGLPPKVLKKGITDMIRISDARMSGTAYGTVILHTAPEAAEGGPLALVENGDLIEVDIPNRTLHLHVSDEELARRRAAWVSPVKPLTGGYGGLYIKTVMQADAGADLDFLVGARGSVVERDSH\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b20891,SM_b20891,SM_b20891,NP_437725.1,tr|Q92UE6|Q92UE6_RHIME,Ketoglutarate semialdehyde dehydrogenase (EC 1.2.1.26),\"Specifically important for: L-Arabinose. The only dehydrogenase steps in the arabinose catabolism pathway are L-arabinose 1-dehydrogenase (which is SMc00588) and a-ketoglutarate semialdehyde dehydrogenase (EC 1.2.1.26). So, this is the semialdehyde dehydrogenase.\",dehydrogenase,Aldehyde dehydrogenase B (EC 1.2.1.22),,MTLHQNLIAGEWVGGDGVANINPSNTDDVVGEYARASAEDAKAAIAAAKAAFPAWSRSGILERHAILKKTADEILARKDELGRLLSREEGKTLAEGIGETVRAGQIFEFFAGETLRLAGEVVPSVRPGIGVEITREPAGVVGIITPWNFPIAIPAWKLAPALCYGNTIVFKPAELVPGCSWAIVDILHRAGLPKGVLNLVMGKGSVVGQAMLDSPDVQAITFTGSTATGKRVAVASVEHNRKYQLEMGGKNPFVVLDDADLSVAVEAAVNSAFFSTGQRCTASSRIIVTEGIHDRFVAAMGERIKGLVVDDALKPGTHIGPVVDQSQLNQDTDYIAIGKQEGAKLAFGGEVISRDTPGFYLQPALFTEATNEMRISREEIFGPVAAVIRVKDYDEALAVANDTPFGLSSGIATTSLKHATHFKRNAEAGMVMVNLPTAGVDFHVPFGGRKASSYGPREQGKYAAEFYTNVKTAYTLA\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b20892,SM_b20892,SM_b20892,NP_437726.1,tr|Q92UE5|Q92UE5_RHIME,2-dehydro-3-deoxy-L-arabinonate dehydratase (EC 4.2.1.43),\"# Specifically important in carbon source L-Arabinose. Similar to PA2216 from Pseudomonas aeruginosa (see PMC:PMC4038344) and to gguC or araD1 (Atu2345) from Agrobacterium tumefaciens (see PMC: PMC3232879), which also have this activity. In Agrobacterium, this reaction is proposed to be a step in L-arabinose oxidation. (Note that 2-keto-3-deoxy-L-lyxonate and 2-keto-3-deoxy-L-arabinonate are the same compound.)\",hypothetical protein,SUGAR TRANSPORTER,,MLISQVRKEDGSVIVAVRAPGETARAVRGAESVYALAMEAANSRRSLRDVVDAKGFGETIDLEEAYSQGRLLSPITHPDPAHLHLTGTGLTHLGSAATRDAMHKKATEATEETLTDSMKMFRMGLEGGKPKSGEKGVQPEWFYKGNGTTAVAPGEPLVSPSFAEDGGEEPEMAGIYVISDKGVPFRLGFAVANEFSDHKTERVNYLWLAHSKLRQASFGPEIRIGAAPEDIRGASRILRGGKVLWEKPFLSGEANMSHSFANLEYHHFKYGLFRAPGDIHVHMFGTATLSFGDGIRTEEGDVFEIEAKEFGLPLRNPLAIAAEEEVAVHQL\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21101,SM_b21101,SM_b21101,NP_437220.1,tr|Q92VM0|Q92VM0_RHIME,\"L-fucono-1,5-lactonase; D-arabinolactonase\",\"# Specifically important in carbon source D-Arabinose; carbon source L-Fucose. A related protein (29% identical) was shown by Hobbs et al (2013) to be a L-fucono-1,5-lactonase. Note that D-arabinolactone is chemically similar to L-fuconolactone, with one methyl group replaced with a hydrogen.\",hypothetical protein,L-fuconolactone hydrolase,,MIIDTHLHLIDKSALNYPWLAGVPALDRDFLYATYAAEAKRVGVAASLHMEVDVDPAEIELETREVARLAGEPGSLLKGAIAACRPEDEGFAAYLERQEENAFVKGFRRVLHVVTDDLSEQPLFRENVKRLSGTRFTFDLCVLPHQIPKAIALADLAPDVQFILDHCGVPDIKGHAEHPWRDHMTEIARHPNVVAKISGVVAYAEEDWALDSIRPYVEHTISVFGWDRVVWGSDWPVCTLGGNLSTWVAATQALIEGCSPQERRKLLSGNAQRIWNLI\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21103,SM_b21103,SM_b21103,NP_437222.1,tr|Q926H4|Q926H4_RHIME,\"ABC transporter for L-Fucose, periplasmic substrate-binding protein\",Specific phenotype on L-Fucose.,sugar ABC transporter substrate-binding protein,\"Maltose/maltodextrin ABC transporter, substrate binding periplasmic protein MalE\",multiple sugar transport system substrate-binding protein,MNRLLSGVSAGVIMLACAMGAAKAADLPGKFEGVTIDAKLIGGQQYEKLYERIGEWEKATGAKVNILSKKNHFELDKEIKSDIATGGLTWCVGSNHSSFAPQYPDIYADLFGLIPSEEVAKFVPAVIDASTLEGKLVMLPRAQFDVSALYFQKSLYQDEAKKTEFKAKYGYDLAPPDTWAQVSDQAEFFAAPPNFYGTQFAGKEEAINGRFYEMLVAEGGEYLDKDGRPAFNSDAGVRALEWFVKLYKDKAVPPGTTNYLWDDLGQGFASGSIAVNLDWPGWASFFNDPKSSKVAGNVGVKVQPAGSSGKRTGWSGHHGFSVTESCADKEAAASLVWWLTNEDSQKLESAAGPLPTRSAVWDFNIKAAEGDAYKTEVLQAFQEAAKHAFPVPQTAEWIEISNAVYPELQAAILGDKTSKEALDAAAEKATGILEDAGKL\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21104,SM_b21104,SM_b21104,NP_437223.2,tr|Q92VL8|Q92VL8_RHIME,\"ABC transporter for L-Fucose, permease component 1\",Specific phenotypes on L-Fucose.,sugar ABC transporter permease,\"Maltose/maltodextrin ABC transporter, permease protein MalF\",,MKLSKLSAPTLLLLPAFIVLAVFIVLPLIFSLYSSFTPFRLTKPDSLWVFIGFRNYVNVLTNAEFWVAFGRTVLLLTVALNAEMFLGLGLALLVNKATYGQRALRTAMMFPMMFSPVLVGFQFKFLFNDNIGFVNNALQSLGLTDRAIPWLIDGNLALFSIIVAEVWSSTAVFAILILAGLLAMPKDPVEAAHVDGCTPWQTFRYVTWPYLMPFAFIAMTIRSLDVARAYDIVKIMTDGGPAKRTELLWTLIGRTAYGDARMGMANAMAYVAILLSIFFTVYFFRKLAAARQQIGAEW\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21105,SM_b21105,SM_b21105,NP_437224.1,tr|Q92VL7|Q92VL7_RHIME,\"ABC transporter for L-Fucose, permease component 2\",Specific phenotypes on L-Fucose.,sugar ABC transporter permease,\"Maltose/maltodextrin ABC transporter, permease protein MalG\",multiple sugar transport system permease protein,MDTNASHRLRRRLLKVAHLAGLFLAMLVICLPGLWIVLSSLRPTVEIMAKPPVWIPETLSLDAYRAMFSGAGQGGVPVWDYFRNSLIVSVTSTVIALAIGLSGGYAFARYRFKAKSAIFLGFMLTRAVPGIALSLPLFMLYARTGIIDTHFSLILTYVALNVPFTIWLIDGFFRQVPKDLAEAAQIDGCTPWQAFWQVEFPLAGPGIASAGIFAFLTSWNEYALASQITRSVNSKTLPVGLLDYTAEFTIDWRGMCALAVVMIVPALTLTFIIQKHLVSGLTFGAVKG\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21106,SM_b21106,SM_b21106,NP_437225.1,tr|Q92VL6|Q92VL6_RHIME,\"ABC transporter for L-Fucose, ATPase component\",Specific phenotype on L-Fucose.,sugar ABC transporter ATP-binding protein,Maltose/maltodextrin transport ATP-binding protein MalK (EC 3.6.3.19),multiple sugar transport system ATP-binding protein,MAPVTLKKLVKRYGALEVVHGIDLEVKDREFIALVGPSGCGKSTTLRMIAGLEEVSGGAIEIGGRKVNDLPPRARNISMVFQSYALYPHMTVAENMGFSLKIAGRPAEEIKTRVAEAAAILDLAHLLERRPSQLSGGQRQRVAMGRAIVRQPDVFLFDEPLSNLDAKLRTQVRTEIKKLHARMQATMIYVTHDQVEAMTLSDRIVIMRDGHIEQVGTPEDVFRRPATKFVAGFIGSPPMNMEEAVLTDGKLAFASGATLPLPPRFRSLVREGQKVTFGLRPDDVYPSGHGLHAGDADAVHEIELPVTITEPLGNETLVFTQFNGRDWVSRMLNPRPLRPGEAVPMSFDLARAHLFDGETGRALAS\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21107,SM_b21107,SM_b21107,NP_437226.1,tr|Q92VL5|Q92VL5_RHIME,dehydratase involved in L-fucose catabolism,\"# Specifically important in carbon source L-Fucose. T. Lukk's 2009 thesis reported that this protein had weak activity as a L-fuconate dehydratase, which was the expected substrate. The fitness data shows that two other dehydratases are involved in fucose catabolism as well (see SMc02776 and SM_b21110), so the pathway is probably more complicated.\",mandelate racemase or evolutionary related enzyme of the mandelate racemase muconate lactonizing enzyme family protein,mandelate racemase/muconate lactonizing enzyme family protein,,MARIEKTELRMVDLPPKNKRTDAIQSFVSQETPIVTITDADGATGTGYSYTIGTGGSSVMRLLSDHLVPILLGEDADCIEALWQKMEFATHATTIGAITALALAAVDTALWDLRAKKQKLPLWKLAGGAKESCPLYTTEGGWLHIEKQALVDDALQAKANGFSGSKVKIGKPSGAEDYDRLSAMRAALGDGFEIMTDCNQGFTVDEAIRRAARLRELDLAWIEEPLPADDLDGHIRLTRSTPTPIAVGESIYSIRHFREYMQKGACSIVQVDVARIGGITPWLKVAHAAEAFDIPVCPHFLMELHVSLVCAVPNGKYVEYIPQLDDLTQMGMEIREGRAIAPSNPGIGIAWDWEAVKARSVAEFTREFRR\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21108,SM_b21108,SM_b21108,NP_437227.1,tr|Q92VL4|Q92VL4_RHIME,L-fucose mutarotase (EC 5.1.3.29),Specifically important for: L-Fucose. The first step in fucose catabolism. This protein is related to XCC4070 (FUCM_XANCP),hypothetical protein,,,MQRMGMVIGLEPSKIAEYKRLHAAVWPEILALISECNITNYSIFLKEPENLLFGYWEYVGEDFEADMTKMAAHPKNQEWWSVCMPCQKPLESRRQGEWWAMMEEVFHHD\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21109,SM_b21109,SM_b21109,NP_437228.1,tr|Q92VL3|Q92VL3_RHIME,L-fucose dehydrogenase (EC 1.1.1.122),Specifically important for: L-Fucose. The second step in fucose catabolism.,oxidoreductase,\"oxidoreductase, Gfo/Idh/MocA family\",,MTETFDPSSLRQWWPKPVAPRPIVIFGAGSIVGDAHLPAYRNAGFPVAGIFDPDAGKAAALARASDVMAFTSEEEALSAENAIFDLATPPAAHASILSKLPKGSFALIQKPLGSDLAAATGILEICRERNIRAAANFQLRFAPMMLALKDAIATGYLGEVVDFDAWLALATPWGLWPFLKGLPRIEIAMHSIHYLDLVRSLLGDPRGVHAKTIGHPNHDVAQTRTAAILDYGDAVRCVLSVNHDHDFGRRFQACEFRICGTRGAAYVKLGVNLDYPRGEPDELWIRPAGGADWIQVPLEGSWFPDAFANRMANLQRHAGGEDDELIGSVEDAWRTMALVEAAYQSSARPATPIAALPLEN\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21110,SM_b21110,SM_b21110,NP_437229.1,tr|Q92VL2|Q92VL2_RHIME,dehydratase involved in L-fucose catabolism,# Specifically important in carbon source L-Fucose. This protein is similar to the (R)-enoyl-CoA hydratase portion of E. coli maoC (36% identical). It is one of three dehydratases involved in L-fucose catabolism (see SMc02776 and SM_b21107),\"MaoC-like (monoamine oxidase-like) protein, NodN\",Aldehyde dehydrogenase (EC 1.2.1.3),,MSEQTIYYEDYEQGHVRLTSGRTITETDFVVHAGHTGDFFPHHMDAEFAKTLPGGQRIAHGTMIFSIGVGLTASLINPVAFSYGYDRLRFVRPVHIGDTIRTRVTIAAKEDDPKRPGAGRVVERCEVINQRGEVVLAADHILIVERKPEGTIQ\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21112,SM_b21112,SM_b21112,NP_437231.1,tr|Q92VL0|Q92VL0_RHIME,\"L-2,4-diketo-3-deoxyrhamnonate hydrolase; 2,4-dioxopentanoate hydrolase\",\"# Specifically important in carbon source L-Fucose; carbon source D-Arabinose. SM_b21112 is 58% identical to LRA6, which is L-2,4-diketo-3-deoxyrhamnonate hydrolase (PMID:19187228). This reaction is also proposed to be involved in L-fucose catabolism (PMID:17144652), which explains the phenotype on L-fucose. Its role in D-arabinose catabolism suggests that it also acts on a five-carbon substrate such as 2,4-dioxopentanoate. This protein belongs to the fumarylacetoacetate hydrolase family, which hydrolyses substrates of the form R-CO-CH2-CO-R'. Both keto groups are involved in the catalytic mechanism (Bateman et al 2001) so we propose that 2,4-dioxopentanoate is the intermediate in D-arabinose catabolism. This would be formed from D-arabinoate by two successive dehydratase reactions (see SMa0247 and SM_b21112).\",\"bifunctional 2-hydroxyhepta-2,4-diene-1, 7-dioatesomerase/5-carboxymethyl-2-oxo-hex-3-ene-1, 7-dioatedecarboxylase\",\"2,4-diketo-3-deoxy-L-fuconate hydrolase\",,MKLLRYGEPGQEKPGLLGSDGIIRDLSGHVSDLAAGALDPSKLDELANLDVETLPAVSGNPRLGPCVAGTGKFICIGLNYSDHAAETGATVPPEPIIFMKATSAIVGPNDDLVLPRGSEKTDWEVELGIVIGKTAKYVSEAEALDYVAGYCTVHDVSERAFQTERHGQWTKGKSCDTFGPTGPWLVTKDEVADPQDLAMWLKVNGETMQDGSTKTMVYGAAHLVSYLSQFMSLRPGDIISTGTPPGVGMGMKPPRYLKAGDVVELGIEGLGSQKQRVRADA\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21164,SM_b21164,SM_b21164,NP_437370.1,tr|Q92V79|Q92V79_RHIME,N-formylglutamate deformylase (EC 3.5.1.68),\"Specifically important for: L-Histidine. KEGG suggests formimidoyl-L-glutamate as the substrate, while SEED suggests N-formylglutamate. This gene is cofit with a deiminase or iminohydrolase (which produces N-formylglutamate) which suggests that the SEED annotation is correct. (SEED_correct)\",formiminoglutamase,N-formylglutamate deformylase (EC 3.5.1.68),formiminoglutamase,MAVFEVRQGSSPVILGFPHTGTDVPASIRERLNDNGRILADTDWHIHDLYQGLLPDATAVRATFHRYVIDANRDPAGVSLYPGQNTTGLVPETDFDGLPIWKEGEGPTEVDITERLRDFHAPYHAALSAEIARVKAIHGVVVLYDCHSIRSHIPFLFEGRLPDFNIGTDMGKTCATEIERAAAEIAAGAECYSHILNGRFKGGWTTRHYGRPEQGVHAIQMELAQSTHLATEAPPFALDRAKADRLRRPLKAILERIETVAKELKRTGSEA\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21216,SM_b21216,SM_b21216,NP_437260.1,tr|Q92VI3|Q92VI3_RHIME,\"ABC transporter for D-Glucosamine, ATPase component\",Specific phenotype on D-Glucosamine Hydrochloride.,sugar ABC transporter ATP-binding protein,Maltose/maltodextrin transport ATP-binding protein MalK (EC 3.6.3.19),,MSALEIRNIRKRYGEVETLKGIDIALESGEFLVLLGSSGCGKSTLLNIIAGLAEPSGGDILIGERSVLGVHPKDRDIAMVFQSYALYPNLSVARNIGFGLEMRRVPQAEHDKAVRDTARLLQIENLLDRKPSQLSGGQRQRVAIGRALVRNPQVFLFDEPLSNLDAKLRMEMRTELKRLHQMLRTTVVYVTHDQIEAMTLATRIAVMRDGRIEQLAAPDEVYDRPATLYVAGFVGSPPMNILDAEMTANGLKIEGCEEVLPLPAAFNGAAWAGRRVKVGIRPEALRLAAGSEAQRLTASVEVVELTGPELVTTATVGSQRITACLPPRTAVGMGSAHAFTFDGTALHLFDPESGRSLRME\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21219,SM_b21219,SM_b21219,NP_437263.1,tr|Q92VI0|Q92VI0_RHIME,\"ABC transporter for D-Glucosamine, permease component 1\",Specific phenotypes on D-Glucosamine Hydrochloride.,sugar ABC transporter permease,\"Glycerol-3-phosphate ABC transporter, permease protein UgpE (TC 3.A.1.1.3)\",multiple sugar transport system permease protein,MERQSPLFSVFIHASALLLAVVILAPVAWLLIMSISPAADLSAKPLAWWPSDIDLSRYRTLLSAVENSAGAAFIASLLNSIKVAGMATLAAVVVAVPAAWAVSRTPAVAWSLYAVIATYMLPPVALAVPLYMGLAYFGLLNSVFGLALVYLTILAPFTTWLLKSGFDSIPREIESAAMIDGARLDQILRILTLPLAAPVMATSALFAFLLAWDEFFYALLFTSDQRAKTLTVAIADLAGGRVSDYGLIATAGVLAALPPVLIGLIMQRALISGLTSGGVKG\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21220,SM_b21220,SM_b21220,NP_437264.2,tr|Q92VH9|Q92VH9_RHIME,\"ABC transporter for D-Glucosamine, permease component 2\",Specific phenotypes on D-Glucosamine Hydrochloride.,sugar ABC transporter permease,\"Glycerol-3-phosphate ABC transporter, permease protein UgpA (TC 3.A.1.1.3)\",multiple sugar transport system permease protein,MTGTWISTRAWLLMLPLLVVMTAVIGWPLVDTVRLSFTDAKLVGTEGGFVGTANYIKMLGGSNFQRALVTTTWFAVISVAAEMVLGVLAALLLNQQFRGRTALRALMILPWALPTVVNATLWRLIYNPEYGALNAALTQLGLLDSYRSWLGEPGTALAALIVADCWKNFPLVALIALAALQAVPRDITAASLVDGAGPFNRFRFVIMPYLAGPLLVALVLRTIEAFKVFDIIWVMTRGGPANSTRTLSILVYQEAFSFQRAGSGASLALIVTLLVTILAAAYAALLRKAAGAS\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21221,SM_b21221,SM_b21221,NP_437265.1,tr|Q926H2|Q926H2_RHIME,\"ABC transporter for D-Glucosamine, periplasmic substrate-binding protein\",Specific phenotype on D-Glucosamine Hydrochloride. (SEED_correct),sugar uptake ABC transporter substrate-binding protein precursor,\"Glucosamine ABC transport system, periplasmic sugar-binding protein\",multiple sugar transport system substrate-binding protein,MLKSTRNALIGATLIGAGFTGHAQAETTLNALFMAQAAYSEADVRAMTDAFAKANPDIKVNLEFVPYEGLHDKTVLAQGSGGGYDVVLFDVIWPAEYAANNVLLDVTDRVTDEMNKGVLPGAWTTVEYDGKRYGMPWILDTKYLFYNKEILEKAGIKQPPKTWEELSEQATAIKDKGLLESPIAWSWSQAEAAICDYTTLVSAYGGKFLDGGKPAFTTGGGLDALNYMVTSYTSGLTNPNSKEFLEEDVRKVFQNGEAAFALNWTYMYNLANDPKESKVAGKVGVVPAPGAAGKSEVSAVNGSMGLGITATSKHPEEAWKYIVHMTSQETQNAYAKLSLPIWASSYENPNVTKGQEELIAAAKRGLAAMYPRPTTPKYQELSTALQQAIQEALLGQSSAEDALKSAAENSGL\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21373,SM_b21373,SM_b21373,NP_437491.1,tr|Q92UY3|Q92UY3_RHIME,tagatose 6-phosphate kinase [EC: 2.7.1.144],\"Specifically important for: D-Tagatose. annotated as 6-phosphofructokinase by SEED, but tagatose 1,6-bisphosphate is the relevant intermediate for tagatose catabolism (KEGG_correct)\",sugar kinase,\"6-phosphofructokinase (EC 2.7.1.11), PF08013 family\",tagatose 6-phosphate kinase,MQENHLIDIARWSERPGPRGIPSICSAHPLVIEAAMLRAHREKAPVLIEATCNQVNQDGGYTGMTPEDFTRFVGAIADRIEFPREKILLGGDHLGPNPWKHLPADEAMAKAEAMITAYAKAGFTKLHLDTSMGCAGEPTALPDATTAARAARLAAVAEDAVGGRGGVLPVYIIGTEVPIPGGALEELDTLEVTAPEAAIETVRVHRAAFEEAGAAGAFSRVVGAVVQPGVEFGNENVIAYDRARAEKLSATLGQLHGMVFEAHSTDYQTPDALRELVADGFAILKVGPGLTFALREALYGLDQIAAFLFPAARERTLAEVTEAVMREEPANWAKYYHGSAEEQRLQRHFSYSDRIRYYWPHPKAAAAVDELMSLLDGVAIPETLISQFLAGSYARVRNGEVAPQAKPLALAAVDAVLQDYFAACRV\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SM_b21374,SM_b21374,SM_b21374,NP_437492.1,tr|Q92UY2|Q92UY2_RHIME,tagatose kinase (EC 2.7.1.101),Important on tagatose. This is the first step in tagatose catabolism.,sugar kinase,Fructokinase (EC 2.7.1.4),,MHKILTIGEILVEIIATEKGDGFRKATPLIGPFPSGAPAIFIDQAGKLGQPCAIISRVGGDDFGTVNLERLKRDGVDISGIEVDPLATTGSAFVRYRPDGSRAFVFNIRDSACGKITLDERMTRLVGECSHVHVMGSSLYAPSVVESILAAIGIVKAGGGTVSFDPNLRPEILKSPGMREALLTVLAETDLFLPSGDELFLFTEAKTESQAVAELLASGIKAVVVKRGAAGASYFDAGAALSLPGFPVEEIDPTGAGDCFGATFVSFWLNGASPREALEFAAASGARAVMHFGPMEGASTRAELERFISEQQA\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21644,SM_b21644,SM_b21644,NP_438103.1,tr|Q92TF7|Q92TF7_RHIME,\"ABC transporter for D-Raffinose, ATPase component\",Specific phenotype on D-Raffinose pentahydrate.,ABC transporter ATP-binding protein,Oligopeptide transport system permease protein OppB (TC 3.A.1.5.1),peptide/nickel transport system ATP-binding protein; peptide/nickel transport system ATP-binding protein,MVTIESIVPAPEERRDRDMKDERPVIDARKVAVSFKVENGTVQAVKDVSFQLYRGETVAIVGESGSGKSVTARTVMGLLSKRATIAPQARIEYDGRDVLKFSKRERRALRGDRISMIFQEPMSSLNPVYTIGSQIIEAIRAHRRVSRRAAAERALELLRHVQIPDPEARLNQYPHQLSGGQRQRVMIAMALANDPDVLIADEPTTALDVTVQAQILNLIRKLQQELGMAVILITHDLTVVRQFSDYVYVMQLGEVKEHNTTEALFADPQHAYTRRLLSSEPSGSANPLPDDAPILLDGRNVRVSFTLKKGGFFRPEFKELVAVDGLSLNLRRHETLGLVGESGSGKTTFGQALIRLLNTDGGEIYFEGEPIHDKDRKGMRPLRSKIQIVFQDPFSSLNPRMSVGQIIEEGLIVNGMGENRKDRLKRVEDALVSAGMPSNILSRFPHEFSGGQRQRIAIARAVALEPEFILLDEPTSALDLSVQAQIIELLRRLQDERGLSYLVISHDLKVVRALCHRVVVMQDGKIVEEGPVSEVLNNPKTAYTERLVKAAFEVAA\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21645,SM_b21645,SM_b21645,NP_438104.1,tr|Q92TF6|Q92TF6_RHIME,\"ABC transporter for D-Raffinose, permease component 1\",Specific phenotypes on D-Raffinose pentahydrate.,ABC transporter permease,\"ABC transporter, permease protein\",peptide/nickel transport system permease protein,MTIEAESTLPVAIEPEEKHHHESYSALVWRRLKRSWTGLLGLVLVCLLILMAVFAEFLSPVDPKATDVAFAQPQTISFRDKEGNFVFPPRSYPVRETEELDPVTFQPIIGPDYDNPQVLGFFVKGAPYRLFGLIPAERHLFGAVDGTPVHLLGTDKFGRDVLSRILYGSRISLMIALTVVFIVTVVGTTVGMVSGYFGGRFDAWVQRFVELVLAFPQLPLYLALASLIPVTAPTNVFLAFVIIVMSALGWAQMSREVRGKTLALARIEYVRAAIAIGATDRRIIFQHIFPNVMSHVIVAVTLAIPHVVLLESFLGFLGFAVKPPLISWGLMLQDTANYSAIGSYPWILSPVAFVLVTVFAFNALGDGLRDAIDPY\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21646,SM_b21646,SM_b21646,NP_438105.1,tr|Q92TF5|Q92TF5_RHIME,\"ABC transporter for D-Raffinose, permease component 2\",Specific phenotypes on D-Raffinose pentahydrate.,ABC transporter permease,\"ABC transporter, permease protein\",peptide/nickel transport system permease protein,MFRFLLVRIASAIPVLLVLSVVTFGIIQAPPGDYSDYIRSQLINQGGASFEEADAQAQAYRKEHGLDKPLPIQYVNWITGIVTRGDFGHSLYYNKPVADVVGERLPRTLALALVCHILASVIGIAFGIIAATRQYSWIDSLLSTVSFLGMTVPRFLMALIIVYILVFHFNVSEINSFHSARYGGAPWSWDKFVDLIKHVWPVVAIATFGGLAYNMRVMRGNLLDTLNAQYVETARAKGLSEGAVVMRHAVPNALHPLIMYQGVVLPYMLTGEIETAIIFALPTVGPAIVGSMWVGDVYVTATFMLVLSATLIVGNIIADMMLAALDPRVRMGGGVYA\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21647,SM_b21647,SM_b21647,NP_438106.1,sp|Q9X4Y1|AGPA_RHIME,\"ABC transporter for D-Raffinose, periplasmic substrate-binding protein\",Specific phenotype on D-Raffinose pentahydrate.,alpha-galactoside ABC transporter substrate-binding protein precursor,Periplasmic alpha-galactoside-binding protein precursor,peptide/nickel transport system substrate-binding protein,MKTHRLNMTASLLIGISAFAVQAFASEPTVVPEQPPFPAQGKITYVSRDSILEFKALREYREPEWVTEKFVKAGKLPPVAERLPKEPMVFKAGNMPDGMGVYGDVMRHVIGGRPEGWNYSAGQTQGWGGIDIGMFECLTRTAPLFQVEADDMEPLPNLAKSWDWSEDGRKLTMHLIEGAKWSDGDPFDADDVMFYWEDNVLDSSVSPLNGATPETFGEGTTLKKIDQYTVEWTFKEAFPRQHLFAMAYGTFCPGPSHILKTKHPKYAGTTYNEYKNGFPAEYMNLPVMGAWVPVAYRPDDIIVLRRNPYYWKVDEAGNQLPYLNELHYKLSTWADRDVQAIAGSGDISNLEQPENFVESLKRAANESAPARLAFGPRVIGYNMHMNFSGNGWGDPDERAKAVRELNRNLDFRKAVTMAVDRKKLGEALVKGPFTAIYPGGLSSGTSFYDRNSTIYYPHDLEGAKVLLEKVGLKDTDGNGFVNFPAGKLGGRDVEIVLLVNSDYSTDRNLAEGMVGQMEKLGLRVVLNALDGKQRDAANYAGRFDWMIHRNTAEFASVVQNTPQLAPTGPRTSWHHRAPEGGEVDVMPHEQELVDIVNKFIASNDNDERTELMKQYQKVATTNVDTVGLTEYPGALIINKRFSNIPPGAPIFMFNWAEDTIIRERVFVAADKQGDYELYPEQLPGKPGESGPIN\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21652,SM_b21652,SM_b21652,NP_436541.1,tr|Q926I0|Q926I0_RHIME,\"ABC transporter for Lactose, periplasmic substrate-binding component\",Specific phenotype on Beta-Lactose. (KEGG_correct),lactose ABC transporter substrate-binding protein,ABC transporter sugar binding protein,lactose/L-arabinose transport system substrate-binding protein,MDIQTRAYLPRIAGLALAGASFLGVTAAQAKEITIWCWDPNFNVAIMKEAGARYTKTHPDVTFNIVDFAKLDVEQKLQTGLSSGTADALPDIVLIEDYGAQKYLQSFPGAFAPLSGTVDYSGFAPYKVELMTLDGQVYGMPFDSGVTGLYYRKDYLEAAGFKPEDMQDLTWDRFIEIGKQVEEKTGKKMMGLDPNDAGLVRIIMQSAGQWYFDKEGKPNIAGNAALKAALETIGKIMQANIYKPANGWSDWVGTFTSGDVATVVTGVWITGTVKAQPDQSGNWGVAPIPALSIEGATHASNLGGSSWYVLESSEEKAEAIDFLNEIYAKDIDFYQKILQDRGAVGSLLAARGGAAYEAADPFFGGEKVWQNFSDWLAKVPSVNYGIFTNEADLAVTAQLPAVTQGTPVDEVLQAIEAEVSAQIQ\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21653,SM_b21653,SM_b21653,NP_436542.1,tr|Q92XF9|Q92XF9_RHIME,\"ABC transporter for Lactose, permease component 1\",Specific phenotypes on Beta-Lactose. Not important for arabinose utilization but there is no other clear arabinose tranpsorter so who knows (KEGG_correct),lactose ABC transporter permease,Inositol transport system permease protein,lactose/L-arabinose transport system permease protein,MVRARRGIGRYYDVNGWLFVAPALGLITLFMVYPIAWSLWMSFQSGRGMTLKFAGFANIVRLWNDPVFIKALTNTMTYFVVQVPIMILLALILASLLNNPRLVGRGVFRTAIFLPCVSSLVAYSVLFKGMFATDGIVNSTLQAIGLAASPIPWLTHPFWAKVLVILAITWRWTGYNMIFYLAALQNIDKSIYEVARIDGVPAWARLTHLTIPLLKPVILFTTVISTIGTLQLFDEVYNLTEGKGGPSNATLTLSLYIYNLTFRFMPNLGYAATVSYVIVVLVALLAFVQFFAARERDR\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SM_b21654,SM_b21654,SM_b21654,NP_436543.1,tr|Q92XF8|Q92XF8_RHIME,\"ABC transporter for Lactose, permease component 2\",Specific phenotypes on Beta-Lactose. Not important for arabinose utilization but there is no other clear arabinose tranpsorter so who knows (KEGG_correct),lactose ABC transporter permease,\"Glycerol-3-phosphate ABC transporter, permease protein UgpE (TC 3.A.1.1.3)\",lactose/L-arabinose transport system permease protein,MNGFGRFAAMAATYGFLGLMAFLSVFPFIWMVLGATNSSIDIIKGKLLPGAAFATNVANFFTLVNVPLVFWNSAKIAIVATVLTLAVSSLAGYGFEMFRSRRRERVYRAMLLTLMIPFAALMIPLFVMMGKAGLINTHLAVVLPSIGSAFVIFYFRQSTKAFPSELRDAAKVDGLKEWQIFLFIYVPVMRSTYAAAFVIVFMTAWNNYLWPLIVLQTNETKTITLVISSLASAYYPDYGVVMVGTILATLPTLAVFFFMQRQFVQGMLGSVK\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMa0247,SMa0247,SMa0247,NP_435377.1,tr|Q930R4|Q930R4_RHIME,\"2-dehydro-3-deoxy-D-arabinonate dehydratase, 2,4-dioxopentanoate forming\",\"# Specifically important in carbon source D-Arabinose. SMa0247 is related to 2-keto-3-deoxyxylonate dehydratase (xylX), which acts on the same substrate. Furthermore, a close homolog (HSERO_RS19360, 59% identical) is important for D-xylose utilization. However, the product of XylX is 2,5-dioxopentanoate, but in S. meliloti the pathway probably proceeds via 2,4-dioxopentanoate (see SM_b21112).\",hypothetical protein,Fumarylacetoacetate hydrolase family protein,,MSGGFLVSFEQALSAESIQPADASSAMLVGRVWSKTAGGPCPVLISEGEVFDLTPLAATISALLEIDGLVDALRDPSRFASLGSLDAFLRGEAGDLLAPADLQAVKAAGVTFADSMLERVIEEQAKGDPLRAQEIRGRLAPVLGDNLKGLVAGSDKAAEVKKLLQELGLWSQYLEVGIGPDAEIFTKAQPMSSVGCGAYIGIHPKSDWNNPEPEVVLAVTSKGKIVGATLGNDVNLRDFEGRSALLLSKAKDNNASCSIGPFIRLFDGAFTIEDVKQAEVSLVVDGKEGFKMTGISPMSAISRSPEDLVSQLLNDNHQYPDGVVFFLGTMFAPVKDRRGTGLGFTHEIGDRVEISTPRLGRLVNWVDHSDRCPKWSFGLGALMKNLAERGLLQAKREG\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc00588,SMc00588,SMc00588,NP_385263.1,tr|Q92QY5|Q92QY5_RHIME,L-arabinose 1-dehydrogenase; D-galactose 1-dehydrogenase (EC 1.1.1.46; EC 1.1.1.48),\"Important on L-arabinose and D-galactose; may also act on D-glucose, given phenotype with some N sources with glucose as C source; 55% identical to ARAA_AZOBR, which has L-arabinose and D-galactose 1-dehydrogenase activity in vitro\",D-galactose 1-dehydrogenase,Uncharacterized oxidoreductase ydgJ (EC 1.-.-.-),D-galactose 1-dehydrogenase,MSPINIAIVGVGKIVRDQHLPALAKNADYRLIAAASRHGTVDGIDNFKSIEAMIDAVPAVEAVSLCMPPQYRYEAARTALAAGKHVFLEKPPGATLSEVADLEALAEEKGVSLFASWHSRYAPAVEAAKTFLASAAIRNVRIIWKEDVRHWHPNQEWIWAAGGLGVFDPGINALSIMTHILPRPVFITSATLEFPENRDAPIAATIAFSDAEKLDVAAEFDWRQTGKQSWDIVAETDAGGMVLSEGGAKLAIDGKIVHEEPEQEYPMLYRRFAEIIKAGRSDVDLAPLRHVADAFMLGRRKFVEAFHD\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc00781,SMc00781,SMc00781,NP_384832.1,tr|Q92RW4|Q92RW4_RHIME,malonate-semialdehyde dehydrogenase (acetylating) (EC 1.2.1.18),Specifically important for: m-Inositol; Uridine. 3-oxopropionate or malonate semialdehyde is an intermediate in myo-inositol catabolism and also in pyrimidine catabolism,malonic semialdehyde oxidative decarboxylase,Methylmalonate-semialdehyde dehydrogenase (EC 1.2.1.27),methylmalonate-semialdehyde dehydrogenase,MYELGHFIDGKRVAGTSGRVSNIFNPATGEVQGTVALASDADLAAAVESAKAAQPKWAATNPQRRARVFMKFVQLLNDNMNELAEMLSREHGKTIDDAKGDIVRGLEVCEFVIGIPHLQKSEFTEGAGPGIDMYSIRQPVGIGAGITPFNFPGMIPMWMFAPAIACGNAFILKPSERDPSVPIRLAELMIEAGLPAGILNVVNGDKGAVDAILTHPDIAAVSFVGSTPIARYVYGTAAMNGKRAQCFGGAKNHMIIMPDADLDQAANALIGAGYGSAGERCMAISVAVPVGEETANRLIDKLVPMVESLRIGPYTDEKADMGPVVTKEAEQRIRSLIDSGIEQGAKLVVDGRDFKLQGYENGHFIGGCLFDDVTPDMDIYKTEIFGPVLSVVRARNYEEALSLPMKHEYGNGVAIYTRDGDAARDFASRINIGMVGVNVPIPVPLAYHSFGGWKSSSFGDLNQHGTDSIKFWTRTKTITSRWPSGIKDGAEFSIPTMR\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc00832,SMc00832,SMc00832,NP_384883.1,tr|Q92RS3|Q92RS3_RHIME,\"D-lactate oxidase, FAD-linked subunit (EC 1.1.3.15)\",\"Specifically important for: Sodium D,L-Lactate. This is the first step in D-lactate oxidation. KEGG has the correct EC # but describes it as glycolate oxidase; SEED has it as 1.1.99.14 (glycolate dehydrogenase)\",glycolate oxidase subunit protein,\"Glycolate dehydrogenase (EC 1.1.99.14), subunit GlcD\",,MPETIGFLKPRQAVLDRRREIVADLADLLPEGGLISDERGLKPFETDAFIAYRRMPLAVVLPETTEHVAAVLKYCSRYGIPIVPRGAGTSLSGGAIPQEDAIVVGLSKMSRTLDIDLFNRTATVQAGVTNLNISDAVSADGFFYAPDPSSQLACTIGGNIGMNSGGAHCLKYGVTTNNLLGVKMVLFDGTVIELGGKALDAPGYDLLGLVCGSEGQLGIVTEATVRLIAKPEGARPVLFGFASSESAGSCVADIIGSGIIPVAIEFMDRPAIEICEAFAQAGYPLDVEALLIVEVEGSEAEMDATLAGIIEIARRHGVMTIRESQSALEAALIWKGRKSAFGATGRIADYICMDGTVPLSQLSHVLRRTGEIVAGYGLRVANVFHAGDGNMHPLILYNINDPEEAARAEAAGNDILKLCVEAGGCLTGEHGVGIEKRDLMLHQYSRADLGQQMAARAAFDPQWLMNPSKVFPLEGRPAA\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc00833,SMc00833,SMc00833,NP_384884.1,tr|Q92RS2|Q92RS2_RHIME,\"D-lactate oxidase, FAD binding subunit (EC 1.1.3.15)\",\"Specifically important for: Sodium D,L-Lactate. This is the first step in D-lactate oxidation. KEGG oddly has no EC #; SEED has it as 1.1.99.14 (glycolate dehydrogenase)\",glycolate oxidase subunit protein,\"Glycolate dehydrogenase (EC 1.1.99.14), FAD-binding subunit GlcE\",glycolate oxidase FAD binding subunit,MIVHFEPASEEGIASVVRSAAAERVTLAVVGGGTRAGLGNPVRADRTLSTRRLSGIVTYDPAEMTMSALAGTPVAEVEAALHAKGQMLSFEPMDHRPIFATTGEPTIGGVFAANVSGPRRYVAGAARDSLLGVRFVNGRGEPIKAGGRVMKNVTGLDLVKLMAGSYGTLGILTEVTFKVLPLPPAAATVVVSGLNDAEAAAVMAEAMAQPVEVSGASHLPESVRSRFLDGALPDGAATVLRLEGLAASVAIRAEKLGEKLSRFGRISQLDEAQTRTLWAEIRDVKPYADGTRRPLWRISVAPSAGHQLVAALRLQTGVDAFYDWQGGLVWLRMEADPEAELLRRYIGAVGGGHAALLRAGEEARGRIPAFEPQPPAVARLSERIRAQFDPSGIFNPGRAAALVRN\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc00926,SMc00926,SMc00926,NP_384885.2,tr|Q92RS1|Q92RS1_RHIME,\"D-lactate oxidase, iron-sulfur subunit (EC 1.1.3.15)\",\"Specifically important for: Sodium D,L-Lactate. This is the first step in D-lactate oxidation. KEGG oddly has no EC #; SEED has it as 1.1.99.14 (glycolate dehydrogenase)\",glycolate oxidase iron-sulfur subunit protein,\"Glycolate dehydrogenase (EC 1.1.99.14), iron-sulfur subunit GlcF\",glycolate oxidase iron-sulfur subunit,MIQRPQGATWSTRLQTNFSPEQLADPHVAESETILRKCVHCGFCTATCPTYVVLGDELDSPRGRIYLIKDMLENGRAADSETVTHIDRCLSCLSCLTTCPSGVDYMHLVDHARAHIEKTYKRPFKDRLARSVIAATLPYPSRFRLALGAAGLARPLAGLLKRVPFLRTLGVMLDLAPSALPAARGAKPAVYAAKGTPRARVALLTGCAQPVLRPEINDATIRLLTGQGVEVVVSAGEGCCGALVHHMGRDEQALQAGRHNIDVWLKAAEEDGLDAIIITASGCGTTIKDYGHMLRLDPAYAEKAARVSALAKDVTEYLATLDLPEQGARNLTVAYHSACSMQHGQKITSAPKQLLKRAGFSVREPAEGHLCCGSAGTYNILQPEISAKLKARKVRNIEATKPEVIATGNIGCITQIASGTEIPILHTVELLDWAYGGPKPAGL\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc01105,SMc01105,SMc01105,NP_384521.1,tr|Q92SI0|Q92SI0_RHIME,uridine nucleosidase (EC 3.2.2.3),Specifically important for: Uridine. annotated by SEED as acting on uridine and inosine,nucleoside hydrolase (SEED_correct),Inosine-uridine preferring nucleoside hydrolase (EC 3.2.2.1),purine nucleosidase,MSSARKIIIDTDPGQDDAAAIMLALGSPEEIEVLGITAVAGNVPLTLTARNARIVCELCNRTDVKIFAGAERPVARPLVTAEHVHGKTGLDGPALDEPTMPLQEQHAVDFIVETLRAEAPGAVTLCTLGPLTNIALALTKAPEIAPSVRELVMMGGGFFEGGNITPAAEFNIYVDPEAAEIVFRSGIPIVMMPLDVTHRVLTRKTRVEKIRAIGSPAAVALAEMLEFFERFDIEKYGTDGGPLHDPTVIAYILRPELFTGRDCNVEIETASPLTTGMTVVDWWQVTGRAHNAKVMRHIDDEGFFELLAERLARI\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc02118,SMc02118,SMc02118,NP_385584.1,tr|Q92Q71|Q92Q71_RHIME,\"ABC transporter for L-Glutamine, L-Histidine, and other L-amino acids, periplasmic substrate-binding component\",Specific phenotype on L-Histidine; L-Glutamine.,general L-amino acid-binding periplasmic ABC transporter protein,Glutamate Aspartate periplasmic binding protein precursor GltI (TC 3.A.1.3.4),general L-amino acid transport system substrate-binding protein,MARRILTALVGAAVVGIGTHAASAATLDDVKAKGFVQCGVNTGLAGFAAPDASGNWSGFDVDYCKAIAAAIFGDGSKVKYTPLSAKERFPALQSGEVDVLARNTTWSINRDTALGFNFRPVNYYDGQGFMVRKELDVKSALELSGAAVCVQTGTTTELNLADYFKANNLQYNPVVFEKLEEVNAAYDAGRCDVYTTDQSGLYSLRLTLSKPDDHIVLPEIISKEPLAPAVRQGDDQWFDIVSWVHYALVQAEEFGVTQANLEEMKKSTNPDVQRFLGVEADSKIGTDLGLTNEWAVNIVKAVGNYGEVFDRNIGAGSPLKIERGLNALWNKGGLQYAPPVR\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc02119,SMc02119,SMc02119,NP_385583.1,tr|Q92Q72|Q92Q72_RHIME,\"ABC transporter for L-Glutamine, L-Histidine, and other L-amino acids, permease component 1\",Specific phenotypes on L-Glutamine; L-Histidine. Mild phenotypes on proline or lysine (KEGG_correct),general L-amino acid transport permease ABC transporter protein,Glutamate Aspartate transport system permease protein GltJ (TC 3.A.1.3.4),general L-amino acid transport system permease protein,MAIGVTNAPERSRSSGSIINDPQVRGIFYQAITIIILAALIYWIVDNTVDNLRRANIASGYDFVRSRAGFDVGQSLISFTSDSTYGRALLVGFINTLLVAITGIITATIIGFIVGIGRLSHNWIIAKLSLAYVEVFRNIPPLLVIFFWYSGVLSILPQARDALALPFDIFLSNRGVAFPRPIAEEGAEYTLLAFVIAVAASVFFARYARKRQLATGERLPVLWTVLGLIIGLPLVTFLVTGAPITFDIPVAGKFNLTGGSVVGPEFMSLFLALSFYTAAFIAEIVRAGIRGVSKGQTEAAHALGIRPALTTRLVVVPQAMRIIIPPLTSQYLNLTKNSSLAVAIGYADLVAVGGTILNQTGQSIEIVSIWLIVYLSLSLATSLFMNWYNARMALVER\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc02120,SMc02120,SMc02120,NP_385582.1,tr|Q92Q73|Q92Q73_RHIME,\"ABC transporter for L-Glutamine, L-Histidine, and other L-amino acids, permease component 2\",Specific phenotypes on L-Glutamine; L-Histidine. Mild phenotypes on proline or lysine (KEGG_correct),general L-amino acid transport permease ABC transporter protein,Glutamate Aspartate transport system permease protein GltK (TC 3.A.1.3.4),general L-amino acid transport system permease protein,MSTNQASFVRASMIEASPAPSLESGAVSWLRKNLFATPKDTALTIISLLILAWLVPPAIQWLFIDAAWSGGGRGVCATLSQGGSQPEGWSGACWAFVNAKFAQFLFGRYPLDERWRPALVGILFVLLLVPMLIPRIPYKGLNALLLLVALPILSAILLPGGWFGLTYVETPLWGGLMVTLVLSFVGIAVSLPLGILLALGRRSNMPVIKMLCTVFIEVIRGVPLITVLFMASVMLPLFLPQGVTFDKFLRALIGVSLFASAYMAEVVRGGLQAIPKGQYEGADSLGLSFWQKMGFIVLPQALKLVIPGIVNTFIGLFKDTSLVSIIGMFDLLGIVRLNFSDTNWATAVTPLTGLIFAGFVFWLFCFGMSRYSGFMERLLDRSQR\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc02121,SMc02121,SMc02121,NP_385581.1,tr|Q92Q74|Q92Q74_RHIME,\"ABC transporter for L-Glutamine, L-Histidine, and other L-amino acids, ATPase component\",Very important for histidine and glutamine utilization and also for lysine utilization. It could be the ATPase component for lysine transport by Smc00140:Smc00138 as well (as there is no ATPase component in that gene cluster or other ATPase component identified in the fitness data),general L-amino acid transport ATP-binding ABC transporter protein,\"ABC-type polar amino acid transport system, ATPase component\",general L-amino acid transport system ATP-binding protein,MANTATAPKLAVSTTDVAIEITNMNKWYGDFHVLRDINLRVMRGERIVVAGPSGSGKSTMIRCINRLEEHQKGKIVVDGIELTNDLKKIDEVRREVGMVFQHFNLFPHLTILENCTLAPIWVRKMPKKEAEQVAMHFLERVKIPEQALKYPGQLSGGQQQRVAIARSLCMRPKILLFDEPTSALDPEMVKEVLDTMVGLAEEGMTMICVTHEMGFARQVANRVIFMDQGQIVEQNSPAEFFDNPQHERTKLFLSQILH\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc02321,SMc02321,SMc02321,NP_384733.1,sp|Q92S14|RHAL_RHIME,L-rhamnose isomerase (EC 5.3.1.14),\"Specifically important for: L-Rhamnose monohydrate. KEGG now annotates it as L-rhamnose isomerase, which is correct. The gene is cofit with SMc03003 (rhaK), which is probably rhamnulose kinase. It had been suggested that rhaK might be rhamnose kinase and that the isomerase might act on L-rhamnose 1-phosphate, but the S. meliloti rhaK is not a rhamnose kinase. See the PhD thesis of Damien M. R. Rivers (2015). (KEGG_correct)\",sugar isomerase,,,MTLMISTSVLDAENASRRDALTRDYESLGDRLARRGIDIDAVKAKVAAYGVAVPSWGVGTGGTRFARFPGPGEPRNIFDKLEDCAVIQQLTRATPAVSLHIPWDKVSDLGALKEKGSALGLSFDAMNSNTFSDAPGQAHSYKFGSLSHTDSATRRQAIEHNLECVEIGKALGSKALTVWVGDGSNFPGQSNFTRAFERYLDSMKAVYAALPDDWRIFTEHKMFEPAFYSTVVQDWGTNYLIAQELGPKAFCLVDLGHHAPNVNIEMIVARLIQFKKLGGFHFNDSKYGDDDLDTGSIDPYRLFLVFNELVDAETRAANGFDPAHMLDQSHNVTDPIESLMTSAMEVGRAYAQALIVDRKALAGYQEENDALMASETLKTAFRTDVEPILATARLENDGAIAPVAAYRASGYRARVAAERPAVAGGGGGIV\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc02322,SMc02322,SMc02322,NP_384734.1,tr|Q92S13|Q92S13_RHIME,rhamnulose-1-phosphate aldolase (EC 4.1.2.19) / lactaldehyde dehydrogenase (EC 1.2.1.22),Specifically important for: L-Rhamnose monohydrate. These are the steps after the L-rhamnose 1-phosphate isomerase (SEED_correct),short chain dehydrogenase,Predicted rhamnulose-1-phosphate aldolase (EC 4.1.2.19) / Predicted lactaldehyde dehydrogenase (EC 1.2.1.22),,MLDKHQGARLANLWDDGKAAGMTEPEKLLYRSNLLGSDKRITNYGGGNTSAKVMEKDPLTGEIVEVLWVKGSGGDVGTIKMDGFSTLYMDKLRALKGIYRGVEFEDEMVGYLPHCTFNLNPRAASIDTPLHAYVPKPHVDHMHPDAIIAIAASKNSRELTSKIFGDEIGWLPWKRPGYELGLWLEKFCQENPDARGVVLESHGLFTWGDTAKEAYETTIEIINRAIAWFETENTGPAFGGRSKPVLAAADRAAIAKKLMPVIRGLISAGESKVGHFDDSQAVLDFVTSTSLEPLAALGTSCPDHFLRTKIRPLVVDFDPAQPDVGNTLAGLPEAIATYRADYAAYYERCKRADSPAMRDPNAVVYLVPGVGMITFAKDKATARISAEFYVNAINVMRGASGVSTYVGLPEQEAFDIEYWLLEEAKLQRMPKPKSLAGRIALVTGGAGGIGKATANRLMQEGACVVLADIDETALEAAQTELSTRYGKDFVRSVNMNVTSEAAVESGFGDALLAFGGLDILVSNAGLATSAAVEDTTLALWNKNMDILATGYFLVSREAFRIFRNQKAGGNVVFVASKNGLAASPGASAYCTAKAAEIHLARCLALEGASAQIRVNVVNPDAVLRGSKIWTGEWKEQRAAAYKMDVDELEAHYRERSMLKLSVFPEDIAEAIYFLASDMSAKSTGNIVNVDAGNAQSFTR\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc02775,SMc02775,SMc02775,NP_384125.1,tr|Q92TD8|Q92TD8_RHIME,D-arabinose 1-dehydrogenase,\"# Specifically important in carbon source D-Arabinose. This is the first step in the oxidation of D-arabinose. (The fucose dehydrogenase is SM_b21109.) The product is probably the 1,5-lactone, not the 1,4-lactone, see SM_b21101.\",L-fucose dehydrogenase (D-threo aldose 1-dehydrogenase) protein,L-fuco-beta-pyranose dehydrogenase (EC 1.1.1.122),D-threo-aldose 1-dehydrogenase,MQTRRIGRTALAVTEYSFGTAGLGGLYRECTREAAMATLDAAWEAGIRYFDTAPFYGLGLAERRVGDFLRDKPRDSFVLSTKVGRLLHPVPENQVPDYSYVKPLNFDVTYDYGYDAIMRSVEMSYARLGLNRIDILYVHDIGGYTHGAAKNAVYLRQLLDSGLKALDELKSSGVISAYGLGVNEVPVCLDVMRQADIDCILLAGRYTLLDRSAVAELLPLCAKKDTSLVVGGVFNSGILATGPVEGAHFDYMPATGEVRAKVAAMERIAGERGMPLAAPALQFPLANPHVASVLLGTAKPSSLTRNMELTRYGIAPEDYAAFEPHTLVAPELGPEAVRA\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc02776,SMc02776,SMc02776,NP_384124.1,tr|Q92TD9|Q92TD9_RHIME,D-arabinoate dehydratase (EC 4.2.1.5); also involved in L-fucose catabolism,\"# Specifically important in carbon source D-Arabinose; carbon source L-Fucose. SMc02776 is 36% identical to D-galactarate dehydratase (garD) from E. coli, which is a similar reaction. The product (2-dehydro-3-deoxy-D-arabinonate) is consumed by SMa0247. The role of SMc02776 role in L-fucose catabolism is unclear because two other dehydratases (SM_b21107 and SM_b21110) are also required but the pathway requires only one dehydratase reaction (PMID:17144652). Probably two of these dehydratases act together (with one of them in reverse) to switch the stereochemistry of a chiral center.\",altronate hydrolase,,altronate hydrolase,MPAPSSILLSPDDNVVVATAAIAPGDRLAGGVSAVARIEPGHKAAIRRIDVGEPVVKYGQAIGRATSPIAPGEHVHSHNLAFDQGRLAVGAAVPPEAASEADKARTFLGYRRADGRAATRNYIGIVASVNCSTTVCRAIADEANRRILPKYEGIDGFVPIVHDQGCGMSSTGDGMKNLHRTLAGYARHANFGGVLMVGLGCEVNQLTLYGQSGAGAEKRHFNIQEAGGSRRSVERALGILDEIAKEVAAARRVPIPVSEIIVGLQCGGSDGLSGITANPALGAAVDILAAAGGTAILSETSEIYGAEHLLRSRAVNETVAVKLDGLIAWWEDYVAMHGASLDNNPSPGNKRGGLTTILEKSLGAVAKGGRSPLTAVYNYAERVTEPGLVFMDTPGYDPVSATGQVAGGANVIAFTTGRGSCFGCRPAPSIKLTSNTALYRAMEEDMDIDCGVIASGETTIADLGRGIFELIIETASGRKTKSELFGYGDNEFVPWHLGATL\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc02869,SMc02869,SMc02869,NP_384300.2,tr|Q92T01|Q92T01_RHIME,\"N-Acetyl-D-glucosamine ABC transport system, ATPase component\",Specific phenotype on N-Acetyl-D-Glucosamine. (SEED_correct),ABC transporter ATP-binding protein,N-Acetyl-D-glucosamine ABC transport system ATP-binding protein,multiple sugar transport system ATP-binding protein,MCAPASRSSFNPRGRHVGSLQLKTIRKAFGSHEVLKGIDLDVKDGEFVIFVGPSGCGKSTLLRTIAGLEDATSGSVQIDGVEVGHVAPAKRGIAMVFQSYALYPHLTVKDNMGLGLKQAGVPKAEIEEKVAKAAGMLSLEPYLARRPAELSGGQRQRVAIGRAIVREPKLFLFDEPLSNLDAALRVNTRLEIARLHRSLKATMIYVTHDQVEAMTLADKIVVLNAGRIEQVGSPMELYNRPANLFVAGFIGSPQMNFIEAAKLGDGEAKTIGIRPEHIGLSRESGDWKGKVIHVEHLGADTIIYIESETVGLLTVRLFGEHRYATDDIVHATPVIGSMHRFDADGRVIKSGQ\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc02871,SMc02871,SMc02871,NP_384302.1,tr|Q92SZ9|Q92SZ9_RHIME,\"ABC transporter for N-Acetyl-D-glucosamine, permease protein 2\",Specific phenotypes on N-Acetyl-D-Glucosamine; N-Acetyl-D-Glucosamine. (SEED_correct),ABC transporter permease,\"N-Acetyl-D-glucosamine ABC transport system, permease protein 2\",multiple sugar transport system permease protein,MSKARASFMRTGAVHAALIAYTLIALFPVFLTIVNSFKSRNAIFREPLAVPTPETFSLIGYETVLKQGDFIGYFQNSIIVTVVSIALVLLFGAMAAFALSEYRFRGNTLMGLYLALGIMIPIRLGTVAILQGMVATGLVNTLTALILVYTAQGLPLAVFILSEFMRTVSDDLKNAGRIDGLSEYAIFLRLVLPLIRPAMATVAVFTMIPIWNDLWFPLILAPAEATKTVTLGSQIFIGQFVTNWNAVLSALSLAIFPVLVLYVIFSRQLIRGITAGAVK\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc02872,SMc02872,SMc02872,NP_384303.1,tr|Q92SZ8|Q92SZ8_RHIME,\"ABC transporter for N-Acetyl-D-glucosamine, permease protein 1\",Specific phenotypes on N-Acetyl-D-Glucosamine; N-Acetyl-D-Glucosamine. (SEED_correct),ABC transporter permease,\"N-Acetyl-D-glucosamine ABC transport system, permease protein 1\",multiple sugar transport system permease protein,MNPREITTYVTEIKRPRRWHILVFLLPALVVYTAVMILPLFETLRQSFYNTVDGQLTFVGLGNFKVLFGDPRWAADFWNALKNNFVFFLIHMAVQNPIGIALAAMLSVPKLRFGAFYRTAIFLPTLLSFVIVGFIWKLILSPIWGVAPYLLDTVGLRSLFGPWLGKPDTALIAVSLISVWQYIGIPMMLIYAALLNIPDEVTEAAELDGVTGWSQFWKIKLPLILPAIGIVSILTFVGNFNAFDLIYTVQGALAGPDKSTDILGTLLYRTFFGFQLQLGDRSMGATIAAIMFLIILAGVALYLFGIQRRMRRYQF\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc02873,SMc02873,SMc02873,NP_384304.1,tr|Q92SZ7|Q92SZ7_RHIME,\"N-Acetyl-D-glucosamine ABC transport system, periplasmic substrate-binding component\",Specific phenotype on N-Acetyl-D-Glucosamine. (SEED_correct),periplasmic binding (signal peptide) ABC transporter protein,\"N-Acetyl-D-glucosamine ABC transport system, sugar-binding protein\",multiple sugar transport system substrate-binding protein,MTRTTMKGLLLASSILGSAGLAQAQDATLTIESWRNDDLAIWQEKLIPAFEAKNPGIKVVFAPSAPTEYNAALNAKLDAGSAGDLITCRPFDASLELYNKKHLADLTGLSGMENFSDVAKSAWTTDDGKATFCVPMASVIHGFIYNKDAFDQLGLSVPATEEEFFAVLEKIKADGNYIPMAMGTKDLWEAATMGYQNIGPNYWKGEEGRLALLKGEQKLTDEPWVEPFRVLAKWKDYLGDGFEAQTYPDSQNLFTLGRAAIYPAGSWEISGFNTQAEFKMGAFPPPVKKAGDTCYISDHNDIGIGLNAKSKNADAAKTFLTWVASPEFAEIYANALPGFFSLNSTAVKMSDPLAQEFVSWREKCKPTIRSTYQILSRGTPNLENETWVMSANVINGTDTPEAAAKKLQDGLDSWFKPVK\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc02875,SMc02875,SMc02875,NP_384306.1,tr|Q92SZ5|Q92SZ5_RHIME,N-acetylglucosamine kinase (EC 2.7.1.59),Specifically important for: N-Acetyl-D-Glucosamine. The first step in NAG catabolism (SEED_correct),hypothetical protein,N-acetylglucosamine kinase of eukaryotic type (EC 2.7.1.59),,MTFYLIGIDGGGTSCRAAVAALDGRILGRGKAGAANILTDPETALQNITDAARDAFGDAGLDPAGIGASRAIVGVAGHNVGDAVHYVKRRLPFAQADIESDGLIALQGALGDGDGAVAILGTGTIYIARRGDEVSYVGGWGFTIGDHGSGARIGHALLQESLLAYDGIHQGSGVTDAVLAEFNDDPRDIVDFARLAKPGEFGRYAPRVFEFAERGDPVAISLLKAAAATVDEALDVVVSRGSEKLCLLGGLAPLYRRWLADRHQPRFVEARADALTGAVALAAARFGSHSGVSA\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc03003,SMc03003,SMc03003,NP_384741.1,tr|Q92S06|Q92S06_RHIME,Rhamnulokinase RhaK in alpha-proteobacteria (EC 2.7.1.5),Specifically important for: L-Rhamnose monohydrate. Also see comment on SMc02321; this is the first step in L-rhamnose degradation. (SEED_correct),hypothetical protein,Rhamnulokinase RhaK in alpha-proteobacteria (EC 2.7.1.5),,MMMKTVAVIDIGKTNAKVALVDLERFEEIAVRKSGNGVSDDGPYPHFDTERLWRFVLDSLAALHREHPVDAISVTTHGATAVLLDEAGELALPVLDYEFTGPDALAEEYEKARPPFTETGSARLPMGLNVGAQLFWQQRMFPEHFARVATILTYAQYWSYRLTGVRTNELTSLGCHTDLWNPKAATFSSMVDEQGWRHLFAPVRRAGDVLGPLLRQVADETGLPPETPVHCGIHDSNASLLPHLITRQAPFSVASTGTWVVMLAVGAEPVKLDERRDTLINVNALGDPVPSARFMGGRAYSLLIGDDPPTASPEAEASVLEQGHMLLPSLPGGSGPFPAARPHWTADEDKLAPAERLAVVSFHLALMTATCLDLIGARGEILVEGPFALNDAYLRMLAAATGRPVLANRLNSTGTSLGAACLVAGARVRTGAEAIPAAKPDAYAAYAEAWRRRTAAHVRSDP\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc03061,SMc03061,SMc03061,NP_384801.1,sp|Q9Z3R5|AGLE_RHIME,\"ABC transporter for D-Maltose and D-Trehalose, ATPase component\",\"Specific phenotype on D-Maltose monohydrate; D-Trehalose dihydrate. Also mildly important for D-cellobiose utilization, which has its own ABC transporter, so the cause is unclear. (SEED_correct)\",alpha-glucoside ABC transporter periplasmic-binding protein,Alpha-glucosides-binding periplasmic protein AglE precursor,alpha-glucoside transport system substrate-binding protein,MKRSLLIGVAAFALLAGTAGLAGTAGAADLKFKPGEDSRFNWASLEEFKKGHDLKGQTLTIFGPWRGEDEALFKSVYAYFVEATGVELKYSSSENYEQQIVIDTQAGSPPDVAILPQPGLIADLAAKGLLTPLGDETKQWLLDNYAAGQSWVDLSTYNGKDGTSALYAFPYKIDVKSLVWYVPENFEDAGYEVPKTMEELKALTEKIAEDGEKPWCIGLGSGGATGWPATDWVEDLMLRTQPAETYDKWVKNEIPFTDAAVTGALEEFGWFARNDAFVDGGAAAVASTDFRDSPKGLFSSPPKCYLHHQASFIPSFFPEGKVVGEDADFFYMPPYESKKELGNPVLGAGTLAMITKDTPAARAFIEFLKTPIAHEVWMAQTSFLTPYKSVNVDVYGNPPLKKQGEILLNATTFRFDGSDLMPGKIGAGAFWTGMVDFVGGKSSADVAAGVQKAWDSIK\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc03062,SMc03062,SMc03062,NP_384802.1,sp|Q9Z3R6|AGLF_RHIME,\"ABC transporter for D-Maltose and D-Trehalose, permease component 1\",Specific phenotypes on D-Maltose monohydrate; D-Trehalose dihydrate. Also possibly important for cellobiose (but that has its own transporter) or raffinose; note cellobiose and maltose are beta glucosides not alpha glucosides permease protein,alpha-glucoside ABC transporter permease,\"ABC alpha-glucoside transporter, inner membrane subunit AglF\",alpha-glucoside transport system permease protein,MEQLIAAILTMVAGVLVCAAYFWSTNLVLDWIFPSKGKFGAVASRNLRIANSIRPWLFLAPALLALTLYLVYPVVQSVWLSLHGRGGQNFVGLSNYSWMINDGEFRQSIFNNFLWLLVVPALSTFFGLIIAALTDRIWWGNIAKTLIFMPMAISFVGAAVIWKFIYDYRAAGSEQIGLLNAIVVALGGEPQAWITLPFWNNFFLMVILIWIQTGFAMVILSAALRGIPEETIEAAVIDGANGWQIFFKIMVPQIWGTIAVVWTTITILVLKVFDIVLAMTNGQWQSQVLANLMFDWMFRGGGDFGRGAAIAVVIMILVVPIMIWNIRNATRESGGH\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc03063,SMc03063,SMc03063,NP_384803.1,sp|Q9Z3R7|AGLG_RHIME,\"ABC transporter for D-Maltose and D-Trehalose, permease component 2\",Specific phenotypes on D-Maltose monohydrate; D-Trehalose dihydrate. Also possibly important for cellobiose (but that has its own transporter) or raffinose; note cellobiose and maltose are beta glucosides not alpha glucosides permease protein,alpha-glucoside ABC transporter permease,Alpha-glucoside transport system permease protein AglG,alpha-glucoside transport system permease protein,MNPSRRSPLTWAVHLSVLLLVLLWTLPTAGLLISSLRDKDQLAVSGWWTALSSSSRNAVVRAPSAEDQVERDGKFVISGNLLEGRGEVSAFGFSSREPTKFKPGETAELNDGERLTVQSDGSFEIVSDQRMEGSRGQRIFFTATTPPRFTLDNYAEVLSAAGIGRSFLNSLTVAVPSTVIPILIAAFAAYALAWMPFPGRAVLLAVVVGLLVVPLQMSLIPLLQLYNGVGAFFGVSAKTYMGIWLAHTGFGLPLAIYLLRNYMAGLPREIMESARVDGASDFDIFVKIILPLSFPALASFAIFQFLWTWNDLLVAIVFLGAGDDKLVLTGRLVNLLGSRGGNWEILTASAFITIVVPLIVFFALQRYLVRGLLAGSVKGG\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc03065,SMc03065,SMc03065,NP_384805.1,sp|Q9Z3R9|AGLK_RHIME,\"ABC transporter for D-Maltose and D-Trehalose, ATPase component\",\"Specific phenotype on D-Trehalose dihydrate; D-Cellobiose; D-Maltose monohydrate.  Mildly important for D-cellobiose utilization, which has its own ABC transporter, so the cause is unclear. (SEED_correct)\",alpha-glucoside ABC transporter ATP-binding protein,Alpha-glucoside transport ATP-binding protein AglK,alpha-glucoside transport system ATP-binding protein,MTGLLLKDIRKSYGAVDVIHGIDLDIKEGEFVVFVGPSGCGKSTLLRMIAGLEEITGGDMFIDGERVNDVPPSKRGIAMVFQSYALYPHMTVYDNMAFGMRIARESKEEIDRRVRGAADMLQLTPYLDRLPKALSGGQRQRVAIGRAICRNPKVFLFDEPLSNLDAALRVATRIEIAKLSERMSDTTMIYVTHDQVEAMTLADRIVVLSAGHIEQVGAPLELYERPANLFVARFIGSPAMNVIPATITATGQQTAVSLAGGKSVTLDVPTNASENGKTASFGVRPEDLRVTEADDFLFEGTVSIVEALGEVTLLYIEGLVENEPIIAKMPGIARVGRGDKVRFTADKAKLHLFDTNGQSYRA\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc03162,SMc03162,SMc03162,NP_386999.1,tr|Q92LX0|Q92LX0_RHIME,epimerase involved in beta-glucoside degradation,\"Specifically important for: D-Salicin; D-Cellobiose. The SEED prediction (for a step in myo-inositol degradation) is not consistent with the phenotypes on D-salicin and D-cellobiose (which are both beta-glucosides). Because it is cofit with a beta-mannosidase (SMc04255), we suspect that it converts beta-glucosides to beta-mannosides. However this pathway also seems to involve two oxidoreductases (SMc03161, SMc04253) so its exact role is uncertain.\",hypothetical protein,Inosose isomerase (EC 5.3.99.-),,MKTIKGPGLFLAQFAGDAAPFNSWDSITKWAADCGYKGVQVPSWDGRLFDLKKAAESKTYCDEVAGKARDNGVEITELATHLQGQLVAAHPAYDEAFDGFAVPQVRGNPRARQEWAVEQVKLALTASKNLGLGAMASFSGALAWPFVYPWPQRPAGLVETAFDELARRWKPILDHAEDCGVDVCYEIHPGEDLHDGITYEMFLERTGNHARACMLYDPSHYVLQCLDYLENIDIYKDRIRMFHVKDAEFNPTGRQGVYGGYQSWVNRAGRFRSLGDGQVDFGAVFSKMAANDFAGWAVVEWECCLKHPEDGAREGSEFVKAHIIRVTEKAFDDFADSGTDEAANRRMLGI\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc03165,SMc03165,SMc03165,NP_387002.1,tr|Q92LW7|Q92LW7_RHIME,Novel Xylose regulator from LacI family,\"# Specifically important in carbon source D-Xylose. Also see expression evidence for the putative ortholog from Phaeobacter, PGA1_c13990, which is 41% identical (PMC4148808). (SEED_correct)\",transcriptional regulator,Novel Xylose regulator from LacI family,LacI family transcriptional regulator,MRPTVHDIAAEAGVSLATVDRVLNNRPGVRSVTRGKVERAIATLGYVRDVAAANLAKSRSYPLIFILPAGENSFMRGLEAEVRSAMSRSATERLDITILSVPVFDAPALAAALHDARERRPAGVAVVAVDAPEVTEAVKRLREDGIAVVTLVSDLPGSGRDHFAGVDNVAAGRTAGSLMGRFLGGGEGPVAVLAGSMLVRDHRDRLEGFQAVMSEDFAWRRILPVIEGQDNPSLVETLVGALLGQHPDLAGIYSLGAGNRGLVAALEKAGKGRAVCTIAHELTPHSRAGLLSGTIDALLNQNAGHEVRSAIRVLKAKADGLPVIAAQERIRIDIFLKDNLPLEQE\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc04256,SMc04256,SMc04256,NP_386032.1,tr|Q92P67|Q92P67_RHIME,\"ABC transporter for D-Cellobiose and D-Salicin, ATPase component\",Specific phenotype on D-Salicin; D-Cellobiose.,ABC transporter ATP-binding protein,\"Nucleoside ABC transporter, permease protein 1\",multiple sugar transport system ATP-binding protein,MTSVSVRDLSLNFGAVTVLDRLNLDIDHGEFLVLLGSSGCGKSTLLNCIAGLLDVSDGQIFIKDRNVTWEEPKDRGIGMVFQSYALYPQMTVEKNLSFGLKVAKIPPAEIEKRVKRASEILQIQPLLKRKPSELSGGQRQRVAIGRALVRDVDVFLFDEPLSNLDAKLRSELRVEIKRLHQSLKNTMIYVTHDQIEALTLADRIAVMKSGVIQQLADPMTIYNAPENLFVAGFIGSPSMNFFRGEVEPKDGRSFVRAGGIAFDVTAYPAHTRLQPGQKVVLGLRPEHVKVDEARDGEPTHQAVVDIEEPMGADNLLWLTFAGQSMSVRIAGQRRYPPGSTVRLSFDMGVASIFDAESENRL\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc04257,SMc04257,SMc04257,NP_386033.2,tr|Q92P66|Q92P66_RHIME,\"ABC transporter for D-Cellobiose and D-Salicin, permease component 1\",Specific phenotypes on D-Cellobiose; D-Salicin.,ABC transporter permease,\"ABC-type sugar transport system, permease component\",multiple sugar transport system permease protein,MAAAYETAPGGPMAGPRGRKPRRTLSRRNIIVYGTLIVVALYYLLPLYVMIVTSLKGMPEIRVGNIFAPPLEITFEPWVKAWAEACTGLNCDGLSRGFWNSVRITVPSVIISIAIASVNGYALANWRFKGADLFFTILIVGAFIPYQVMIYPIVIVLREMGVYGTLTGLIIVHTIFGMPILTLLFRNYFAGLPEELFKAARVDGAGFWTIYFKIMLPMSLPIFVVAMILQVTGIWNDFLFGVVFTRPEYYPMTVQLNNIVNSVQGVKEYNVNMAATILTGLVPLTVYFVSGRLFVRGIAAGAVKG\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc04258,SMc04258,SMc04258,NP_386034.1,tr|Q92P65|Q92P65_RHIME,\"ABC transporter for D-Cellobiose and D-Salicin, permease component 2\",Specific phenotypes on D-Cellobiose; D-Salicin.,ABC transporter permease,\"ABC transporter, permease protein\",multiple sugar transport system permease protein,MTGLTRGSARPNQWLRNLNAKIASIPMILTAMVIFVGGTAWTVVYSFTNSKLLPRLAFVGFDQYERLWAAPRWLVSIQNLAVFGCLSLVFSLVIGFVLAALMDQKIRFENTFRTIMLYPFALSFIVTGLVWQWLLNPQYGIQSIVRSLGWTSFSFDPLYNSNIVIYGILIAALWQGTGLVMCLMLAGLRGIDEDIWKAARVDGIPMWKTYVLIIIPMMRGVFITTLVIIASGIVKVYDLVVAQTSGGPGIASEVPAKYVYDYMFQAQNLGQGFAASTMMLVTVAIIIVPWAYLEFGGGRKRG\r\ntransporters,Sinorhizobium meliloti 1021,Smeli,SMc04259,SMc04259,SMc04259,NP_386035.1,tr|Q92P64|Q92P64_RHIME,\"ABC transporter for D-Cellobiose and D-Salicin, periplasmic substrate-binding protein\",Specific phenotype on D-Salicin; D-Cellobiose.,periplasmic binding ABC transporter signal peptide protein,\"ABC-type sugar transport system, periplasmic component\",multiple sugar transport system substrate-binding protein,MNLRFLAAALGATAALPFGAASATDLEVTHWWTSGGEAAAVAELAKAFDATGNKWVDGAIAGSGGTARPIMISRITGGDPMAATQFNHGRQAEELVQAGLMRDLTDIATKENWKEIVKPSSLLDSCTIEGKIYCAPVNIHSWQWLWLSNAAFKQAGVEVPKNWDEFVAAAPALEKAGIVPLAVGGQPWQANGAFDVLMVAIAGKENFEKVFAQKDEEVAAGPEIAKVFKAADDARRMSKGTNVQDWNQATNMVITGKAGGQIMGDWAQGEFQLAGQKAGVDYTCLPGLGVNEVISTGGDAFYFPLLEDEEKSKAQEVLASTLLKPETQVAFNLKKGSLPVRGDVDLAAANDCMKKGLDILAKGNVIQGTDQLLSADSQKQKEDLFSEFFANHSMTPEDAQKRFADIIAAAD\r\ncatabolism,Sinorhizobium meliloti 1021,Smeli,SMc04386,SMc04386,SMc04386,NP_387397.1,sp|P58350|AATB_RHIME,2-aminoadipate:2-oxoglutarate aminotransferase (EC 2.6.1.39),Specifically important for: L-Lysine. This is required for catabolism of lysine on the way to glutarate. The amino group donor is uncertain,aspartate aminotransferase B protein,Aspartate aminotransferase (EC 2.6.1.1),aspartate aminotransferase,MTINATVKEAGFQPASRISSIGVSEILKIGARAAAMKREGKPVIILGAGEPDFDTPEHVKQAASDAIHRGETKYTALDGTPELKKAIREKFQRENGLAYELDEITVATGAKQILFNAMMASLDPGDEVIIPTPYWTSYSDIVHICEGKPVLIACDASSGFRLTAEKLEAAITPRTRWVLLNSPSNPSGAAYSAADYRPLLEVLLRHPHVWLLVDDMYEHIVYDGFRFVTPAQLEPGLKNRTLTVNGVSKAYAMTGWRIGYAGGPRELIKAMAVVQSQATSCPSSISQAASVAALNGPQDFLKERTESFQRRRDLVVNGLNAIDGLDCRVPEGAFYTFSGCAGVLGKVTPSGKRIKTDTDFCAYLLEDAHVAVVPGSAFGLSPFFRISYATSEAELKEALERIAAACDRLS\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF1004,PS417_05090,PS417_RS22700,WP_029529237.1,UPI000496EDA7,ferric citrate outer membrane transporter (fecA),Specific phenotype on citrate; 63% identical to E. coli fecA; SEED_correct,transporter,Iron(III) dicitrate transport protein FecA @ Iron siderophore receptor protein,iron complex outermembrane recepter protein,MPQQPTLLARTLRQLLLGASLSLTALPPVMAADAKPYHIAPTSLEAALNQFGREAGVLISFGSEVTAGMQSRGLSGNYGAADGLQKLLEGTGLQARAEGDNAYSLQPATAPASIELGTSSVVGDWLGDAAQTHVFEHPGARDVIRREEFERQGATQAKDVLNRIPGVNAPDNNGTGSHDMALNFGIRGLNPRLASRSTVLMDGIPVPFAPYGQPQLSFAPISMGNMDAVDVVRGGGAVRYGPQNVGGVVNFVTRAIPDAPTVKGGLQTETSPSSSHDGFKTTGNLLAGGTADNGLGGAILYSGTRGGDWRENSNTRIDDLILKGKYQLDDANSFNAMAQYYEGQADMPGGLNVADYKADPYQSTRPYDKFWGRRTMFNVGYRYEQDRREFTVNSFFTKTLRSGYLDQGTFLSLSPREYWVRGIETRFAQGFDLGPTSHEVGVGYRYINEAGHELRYRTPIAANQQIPTTNSRNDRDTRGGTEANAFFVDDRIDIGKWTITPGIRYEIIESQQTNNLTNVKYKGDYNTALPALNVLYHLTDNWNLYANTEGSFGSVQYSQMPNRVTSGEVKPEKARTWELGTRYDDGTLRAEIGAFLINFDNQYESNQTNDSVIARGETRHQGIETSINYALDGLSPALAGFDVYATYAYVDATIREDGPNKGNRVPFSSKHKGTLGVGYTEGRWKLNLDSSYQSSQFADNANTEKETANGANGRIPGYMLFSSRAAYDFGPQLSDLNVAVGVKNIFNTQYFTRSFDDNNKGKYVGEPRTVYVQTSIAF\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF1065,PS417_05405,PS417_RS22395,WP_010212811.1,UPI000299F6F4,L-alanine and D-alanine permease,\"Important for utilizing both isomers of alanine, and no other transporter is apparent. Both phenotypes are conserved.\",D-alanine/D-serine/glycine permease,D-serine/D-alanine/glycine transporter,\"amino acid transporter, AAT family\",MPVGNHLPHGETAQGGPLKRELGERHIRLMALGACIGVGLFLGSAKAIEMAGPAIMLSYIIGGLAILVIMRALGEMAVHNPVAGSFSRYAQDYLGPLAGFLTGWNYWFLWLVTCVAEITAVAVYMGVWFPDTPRWIWALAALISMGSINLIAVKAFGEFEFWFALIKIVTIIAMVIGGVGIIAFGFGNDGVALGISNLWAHGGFMPNGVQGVLMSLQMVMFAYLGVEMIGLTAGEAKNPQKTIPSAIGSVFWRILLFYVGALFVILSIYPWNEIGTQGSPFVMTFERLGIKTAAGIINFVVITAALSSCNGGIFSTGRMLYSLAQNGQAPATFAKTSSNGVPRKALLLSIFALLLGVLLNYLVPEKVFVWVTSIATFGAIWTWLMILLAQLKFRKSLSPAEQAGLKYRMWLYPVSSYLALAFLLLVVGLMAYFPDTRIALYVGPVFLVLLTVLFYVFKLQPTQVAQGEARPV\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF1579,PS417_08035,PS417_RS19860,WP_010211991.1,UPI00029A6093,adenine transporter (MFS superfamily),\"specific phenotype on adenine and no other transporter was identified by the fitness data. Also mildly important on adenosine, which could reflect extracellular conversion to adenine\",transporter,Putative transport protein,,MKNSFGFTWYLAGLSMLGYLAMDMYLPAFGAMGEQLQIGAGAVGASLSIFLAGFAVGQLLWGPLSDRLGRKPILLAGLSLFVLGCAGMFWVETAPQLLALRFIQAIGVCSAAVSWQALVIDRYPADKAHRVFASIMPLMSLSPALAPLLGAMVLNHFGWQAIFGVLLGVSVLLLLPTVFLRGMPKRPTEGREPVRLGYGQLLTSRVFTGNVMIFAACSASFFAWLTASPFILGGMGYSPNDIGLSYVLPTLAFLVGGYSCRSALQRFQGKTLLPWLLLAYCISMVALYLVATLTVPTLTTLLIPFCLMALCNGASYPIVVANALMPFSENSGKAAALQNTLQLGLCFLSSLVVSSMLDQPLLITAIVMLATAPLAVLGYWLARPKADNSVLAPNLK\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2142,PS417_10925,PS417_RS17080,WP_038453112.1,UPI00049A49C0,malonate-semialdehyde dehydrogenase (acetylating) (EC 1.2.1.18),\"Specifically important for: m-Inositol. 3-oxopropionate or malonate semialdehyde is an intermediate in myo-inositol catabolism (SEED_correct, although the name and EC number are confusing)\",methylmalonate-semialdehyde dehydrogenase,Methylmalonate-semialdehyde dehydrogenase [inositol] (EC 1.2.1.27),methylmalonate-semialdehyde dehydrogenase,MTTTIEHYINDQRVSRDDRYQDVFNPATGEKTGRVALASRQTVSEAVAAAQAAFAGWADTPPIRRARVLFEYLHLLRERKDDLARIIVAEHGKVFTDAQGEVDRGIDILEFACGIPNLLKGEHSDQVSRGMDNWTMRQPLGVVAGVTPFNFPVMVPMWMYPIAIAAGNTFILKPSPTDPSASLFMAELLREAGLPKGVFNVVQGDKESVDALIEHPDVKAVSFVGSTPIAQYIYETGARNGKRVQGLGGAKNHMVVMPDADIEKTVDALMGAAYGSAGERCMAISVAVLVGDVGDKVIAALTERAKHLRITDGRDLKAEMGPIVSRAALERISGYIEQGVQAGAQLLLDGRDYVPTEPGLENGFWLGATLFDHVTEEMSIYREEIFGPVLACVRVNDFAEAIKLVNAHEFGNGVSCFTRDGNIAREFARRIEVGMVGINVPISVPMAWHGFGGWKKSLFGDMHAYGTEGVRFYTKQKSIMQRWSESIEQGAEFAMPVSK\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2156,PS417_11000,PS417_RS17010,WP_010211220.1,UPI00029AE918,L-arabonate dehydratase (EC 4.2.1.25),Specifically important for: L-Arabinose. L-arabonate is an intermediate in the oxidation of L-arabinose (SEED_correct),dihydroxy-acid dehydratase,L-arabonate dehydratase (EC 4.2.1.25),dihydroxy-acid dehydratase,MPDKKPGLRSAQWFGTADKNGFMYRSWMKNQGIADHQFHGKPIIGICNTWSELTPCNAHFRQIAEHVKRGVIEAGGFPVEFPVFSNGESNLRPTAMLTRNLASMDVEEAIRGNPIDGVVLLTGCDKTTPALLMGAASCDVPAIVVTGGPMLNGKHKGQDIGSGTVVWQLSEQVKAGTITLDDFLAAEGGMSRSAGTCNTMGTASTMACMAEALGTSLPHNAAIPAVDARRYVLAHMSGMRAVEMVREDLKLSKILTKEAFENAIRVNAAIGGSTNAVIHLKAIAGRIGVELDLDDWTRIGRGMPTIVDLQPSGRFLMEEFYYAGGLPAVLRRLGEANLIPHPNALTVNGKSLGENTQDSPIYGQDEVIRTLDNPIRADGGICVLRGNLAPLGAVLKPSAASPALMQHRGRAVVFENFDMYKARINDPELDVDANSILVMKNCGPKGYPGMAEVGNMGLPAKLLAQGVTDMVRISDARMSGTAYGTVVLHVAPEAAAGGPLATVKEGDWIELDCANGRLHLDIPDAELAARMADLAPPQKLIVGGYRQLYIDHVLQADQGCDFDFLVGCRGAEVPRHSH\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2159,PS417_11015,PS417_RS16995,WP_010211217.1,UPI00029B5717,Ketoglutarate semialdehyde dehydrogenase (EC 1.2.1.26),Specifically important for: L-Arabinose. alpha-ketoglutarate semialdehyde is an intermediate in the oxidation of L-arabinose (SEED_correct),ketoglutarate semialdehyde dehydrogenase,Ketoglutarate semialdehyde dehydrogenase (EC 1.2.1.26),NADP-dependent aldehyde dehydrogenase,MTSFLGHNYIGGQRSANGSVTLQSVDATSGEALPQHFYQATPQEVDAAAKAAAQAYPAYRALSAARRAQFLDAVADELDALGDEFVELVCRETALPAARIKGERGRTSGQMRLFATVLRRGDFYGARIDKALPDRQPMPRPDLRQYRIGLGPVAVFGASNFPLAFSTAGGDTAAALAAGCPVVFKAHSGHMATAERVADAIIRAAEATEMPAGVFNMIFGGGVGEALVKHPAIQAVGFTGSLKGGRALCDMAAARPQPIPVFAEMSSINPVIVLPQALKARAESVARDLTASVVQGCGQFCTNPGLVIGVASPEFTAFTQQVAQLIGDQPAQTMLNAGTLSSYGKGLEKLLAHPGIQHLAGSQQAGNQAQPQLFKADVRLLIDGDEVLQEEVFGPTTVFVEVADQAQLSAALHGLHGQLTATIIGEPADLQQFAELTPLLEQKVGRILLNGYPTGVEVCDSMVHGGPYPATSDARGTSVGTLAIDRFLRPVCFQNYPDSLLPDALKNANPLRIQRLVDGTPSRDPL\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2160,PS417_11020,PS417_RS16990,WP_010211216.1,UPI00029AF246,L-arabinolactonase (EC 3.1.1.15),Specifically important for: L-Arabinose. a step in L-arabinose oxidation (SEED_correct),gluconolaconase,L-arabinolactonase (EC 3.1.1.15),,MSCIAVTPHRAQLGEGPFWDAPTQALYWVNIAGKQALRLMGGQLQVWQLPEHVSAFIPCESGDALVTLSSGVYRLDLATEALTLLCVADPQPGNRGNEARCDASGRLWLGTMQNNIGEQGEDLPITRRSGGLFRIDADAQVTPLLSGLGIPNTLLWSDDGRHVHFGDSLDGTLYRHAIQPDGQLDPAQTWFGPHERGGPDGSAMDVDGYIWNARWDGSCLLRLTPDGEVDRIVELPVSRPTSCVLGGPNLTTLYITSAASPLDHPLDGAVLAMEVDVPGKPCHRFAG\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2259,PS417_11520,PS417_RS16495,WP_010211099.1,UPI000299D29F,Sorbitol dehydrogenase (EC 1.1.1.14),Specifically important for: D-Sorbitol. The first step in sorbitol degradation (SEED_correct),sorbitol dehydrogenase,Sorbitol dehydrogenase (EC 1.1.1.14),,MKRLEGKSALITGSARGIGRAFAQAYIAEGATVAIADIDLQRAQATAAELGPQAYAVAMDVTDQASIDGAITAVVAQAGKLDILINNAALFDLAPIVDITRDSYDRLFSINVAGTLFTLQAAARQMIRQGHGGKIINMASQAGRRGEPLVAIYCATKAAVISLTQSAGLNLIKQGINVNAIAPGVVDGEHWDGVDALFAKHEGLAPGEKKQRVGAEVPFGRMGTAEDLTGMAIFLASKEADYVVAQTYNVDGGNWMN\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF2331,PS417_11885,PS417_RS16140,WP_010211018.1,UPI00029B1E87,Inositol transport system sugar-binding protein,specific phenotype on inositol. SEED_correct,rhizopine-binding protein,Inositol transport system sugar-binding protein,simple sugar transport system substrate-binding protein,MKTPIRFTALALSMLLASGVASAADLKIGVSMSAFDDTFLTYLREDMDKQAKSYPKGDGVQLQFEDARADVVKQLSQVENFISQKVDAIIVNPVDTASTANIIKAATAAKIPLVFVNRRPDSQTLAPGVAAVTSDDVEAGKLQMQYIAEKLGGKGNIVILLGDLANNSTTNRTKGVKEVLTKYPGIKIEQEQTGIWLRDRGMTLVNDWLTQGRDFQAVLSNNDEMAIGAAMALKSAGKKGVLIAGVDGTPDGLNAITKGDMTVSAFQDAKGQADKSVETARKMAKNEPIEQNVVIPFQLITPDNVKDFK\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF2332,PS417_11890,PS417_RS16135,WP_010211017.1,UPI00029B1B5E,Inositol transport system ATP-binding protein,specific phenotype on inositol. SEED_correct,D-ribose transporter ATP-binding protein,Inositol transport system ATP-binding protein,simple sugar transport system ATP-binding protein,MLAQATVSQPPSLQPQTLEEPYLLEIVNISKGFPGVVALADVQLRVRPGTVLALMGENGAGKSTLMKIIAGIYQPDAGEIRLRGKPIVFETPLAAQKAGIAMIHQELNLMPHMSIAENIWIGREQLNSLHMVNHREMHRCTAELLARLRINLDPEEQVGNLSIAERQMVEIAKAVSYDSDILIMDEPTSAITEKEVAHLFSIIADLKSQGKGIVYITHKMNEVFAIADEVAVFRDGHYIGLQRADSMNSDSLISMMVGRELSQLFPLRETPIGDLLLTVRDLTLDGVFKDVSFDLHAGEILGIAGLMGSGRTNVAETIFGITPSSSGQITLDGKAVRISDPHMAIEKGFALLTEDRKLSGLFPCLSVLENMEMAVLPHYTGNGFIQQKALRALCEDMCKKLRVKTPSLEQCIDTLSGGNQQKALLARWLMTNPRLLILDEPTRGIDVGAKAEIYRLIAFLASEGMAVIMISSELPEVLGMSDRVMVMHEGELMGTLDRSEATQEKVMQLASGMTAVH\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF2333,PS417_11895,PS417_RS16130,WP_010211015.1,UPI00029AEE01,Inositol transport system permease protein,specific phenotype on inositol. SEED_correct,ABC transporter,Inositol transport system permease protein,simple sugar transport system permease protein,MNAITDNKPATVPTKSRRRLPTELSIFLVLIGIGLVFELFGWIVRDQSFLMNSQRLVLMILQVSIIGLLAIGVTQVIITTGIDLSSGSVLALSAMIAASLAQTSDFSRAVFPSLTDLPVWIPVAMGLGVGLLAGAINGSIIAVTGIPPFIATLGMMVSARGLARYYTEGQPVSMLSDSYTAIGHGAMPVIIFLVVAVIFHIALRYTKYGKYTYAIGGNMQAARTSGINVKRHLIIVYSIAGLLAGLAGVVASARAATGQAGMGMSYELDAIAAAVIGGTSLAGGVGRITGTVIGALILGVMASGFTFVGVDAYIQDIIKGLIIVVAVVIDQYRNKRKLKR\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2378,PS417_12125,PS417_RS15905,WP_010210955.1,UPI00029B06D9,D-glucosaminate dehydratase (EC 4.3.1.9),\"Specifically important for: D-Glucosamine Hydrochloride. This enzyme had not previously been linked to a gene. This is the second step in catabolism of glucosamine, and the 'beta' form of the enzyme was expected to be PLP-dependent and about this size. Iwamoto et al (2003) purified a non-specific 'alpha' enzyme for this reaction (PMID: 12686150)\",amino acid deaminase,D-serine deaminase (EC 4.3.1.18),,MSAINAVEKGAAAVGAHLVRDVSLPALVLHRDALEHNIRWMQDFVSNSGAELAPHGKTSMMPALFQRQIEAGAWGITLANAVQTRAAYAGGVRRVLMANQLVGAPNMALIADLLADKDFDFHCMVDHPDNVADLGLFFAARGLRLNVMIEYGVVGGRCGCRTEQEVRDLARAIKAQPALALTGIEGYEGVIHGEHAISGIRDFAASLVRLAVDLQNNGSFDLPKPIVTASGSAWYDLIAESFEQQNAAGRFLSVLRPGSYVAHDHGIYKEAQCCVLDRRSDLNEGLRPALEVWAHVQSLPEPGFAVIALGKRDVAYDAGLPVPLKRYKAGILPAEGDDVTACKVTAVMDQHAFMTVAPGVELRIGDIISFGTSHPCLTFDKWQVGCLVDEQLQVIESLETRF\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF2490,PS417_12700,PS417_RS15345,WP_010210760.1,UPI00029A7CFC,\"ABC transporter for D-Mannitol, D-Mannose, and D-Sorbitol, ATPase component\",Specific phenotype on D-Sorbitol; D-Mannitol. Also important for D-mannose utilization.,ABC transporter ATP-binding protein,\"Various polyols ABC transporter, ATP-binding component\",sorbitol/mannitol transport system ATP-binding protein,MANLKIKNLQKGFEGFSIIKGIDLEVNDKEFVVFVGPSGCGKSTLLRLIAGLEEVSEGTIELDGRDITEVTPAKRDLAMVFQTYALYPHMSVRKNMSFALDLAGVDKKLVESKVSEAARILELGPLLERKPKQLSGGQRQRVAIGRAIVRNPKIFLFDEPLSNLDAALRVQMRLELARLHKELQATMIYVTHDQVEAMTLADKVVVLNSGRIEQVGSPLELYHQPANLFVAGFLGTPKMGFLKGKVTRVESQSCEVQLDAGTLINLPLSGATLSVGSAVTLGIRPEHLEIASPGQTTLTVTADVGERLGSDTFCHVITANGEPLTMRIRGDMASQYGETLHLHLDPAHCHLFDTDGVAVARPLRAAA\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF2491,PS417_12705,PS417_RS15340,WP_010210759.1,UPI00029ADD6A,\"ABC transporter for D-Mannitol, D-Mannose, and D-Sorbitol, permease component 1\",Specific phenotypes on D-Mannitol; D-Mannose; D-Mannose; D-Sorbitol; D-Sorbitol.,mannitol ABC transporter permease,\"Various polyols ABC transporter, permease component 2\",sorbitol/mannitol transport system permease protein,MTLQQSRRLQSLLLGTLAWAIAILIFFPIFWMVLTSFKTEIDAFATPPQFIFTPTLENYLHINERSNYFSYAWNSVLISFSATALCLLISVPAAYSMAFYETQRTKGTLLWMLSTKMLPPVGVLMPIYLLAKSFGLLDTRIALIIIYTLINLPIVVWMVYTYFKDIPKDILEAARLDGATLWQEMVRVLLPIAKGGLASTVLLSLILCWNEAFWSLNLTSSSAAPLTALIASYSSPEGLFWAKLSAVSTLACAPILIFGWISQKQLVRGLSFGAVK\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF2492,PS417_12710,PS417_RS15335,WP_029529156.1,UPI000403AE5C,\"ABC transporter for D-Mannitol, D-Mannose, and D-Sorbitol, permease component 2\",\"Very important for utilization of D-sorbitol, D-mannitol, and D-mannose.\",sugar ABC transporter permease,\"Various polyols ABC transporter, permease component 1\",sorbitol/mannitol transport system permease protein,MNTTTPKNRLANPGWFLVSPSVALLLLWMIVPLGMTLYFSLIRYNLLYPGENEFVGLENFTYFITDSGFLPGATNTLLLVGSVLLISVVFGVLISALLEASEFLGRGLVRVLLISPFFIMPTVGALIWKNLIFHPVSGILAAVWKFFGAEPVDWLAHYPLLSIIIIVSWQWLPFAILLLMTAMQSLDQEQKEAARLDGAGAIAIFWHLTLPHLARPIAVVVMIETIFLLSVFAEIFTTTNGGPGYASTNLAYLIYNQALVQFDVGMASAGGLIAVVIANIAAIILVRMIGKNLTDKP\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF2493,PS417_12715,PS417_RS15330,WP_010210754.1,UPI00029A3EE3,\"ABC transporter for D-Mannitol, D-Mannose, and D-Sorbitol, periplasmic substrate-binding protein\",Specific phenotype on D-Mannose; D-Sorbitol; D-Mannitol.,sugar ABC transporter substrate-binding protein,\"Various polyols ABC transporter, periplasmic substrate-binding protein\",sorbitol/mannitol transport system substrate-binding protein,MKFTAKALLASTCMMTCMTLSAVSFGAQTLTIATVNNSDMIRMQKLSKTFEAEHPEIKLNWVVLEENVLRQRLTTDIATQGGQFDVLTIGMYEAALWGAKGWLEPMKDLPASYDLDDVFPSVRDGLSVKGSLYALPFYAESSITYYRTDLFKDAGLTMPEHPTWTQIGEFASKLTDKTKEQYGLCLRGKAGWGENMALITTLANGYGARWFDEKWQPEFNGPEWKDALNFYVDNMKKSGPPGASSNGFNENLALFNSGKCAIWVDASVAGSFVTDKTQSKVADHVGFTFAPHEKTDKGTSWLYSWSLAIPTSSKAKDAAKVFTSWATSKEYGELVAKTDGIANVPPGTRKSTYNDEYMKAAPFAKVTLESLKVADPTKPTLKPVPYIGIQLVTIPEFQAIGTQVGKFFSGALTGQQTVDAALTAAQTTTEREMKRAGYPK\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2712,PS417_13835,PS417_RS14240,WP_010210414.1,UPI00029AC8B2,3-hydroxyisobutyryl-CoA hydrolase (EC 3.1.2.4),Specifically important for: L-Valine. KEGG no longer makes any prediction (see pfo:Pfl01_2864). 3-hydroxy-isobutanoyl-CoA is an intermediate in valine degradation. (SEED_correct),crotonase,3-hydroxyisobutyryl-CoA hydrolase (EC 3.1.2.4),enoyl-CoA hydratase,MTAQVSSEASHAETLQDEVLAEVRNHIGHLTLNRPAGLNAITLNMVRRLASQLKAWADDPQVYAVVLRGAGEKAFCAGGDIRSLYDSFKNGDTLHQDFFVEEYALDLAIHHYRKPVLALMDGFVLGGGMGLVQGADLRVVTERSRLAMPEVAIGYFPDVGGSYFLPRIPGELGIYLGVTGVQIRAADALYCGLADWYLESSKLADLDNKLDRLQWHDSPLKDLQGVLAKLAVQQLPDAPLAVLRPAIDHFFALPDVPSIVEQLQQVTVADSHEWALTTAHLMQTRSPLAMAVTLEMLRRGRRLPLEQCFALELHLDRQWFERGDLIEGVRALIIDKDKAPRWNPPTLHGLALSHVESFFHNFKKVAN\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2713,PS417_13840,PS417_RS14235,WP_010210413.1,UPI00029B4FAD,isobutyrl-CoA dehydrogenase (EC 1.3.8.1),\"Specifically important for: L-Valine. SEED annotates it as butyryl-CoA dehydrogenase, which is also expected to perform this reaction in valine catabolism\",acyl-CoA dehydrogenase,Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MQDIEYTEEQVMIRDMARDFARGEIAPYAQAWEKAGWIDDALVAKMGELGLLGMVVPEEWGGTYVDYVAYALAVEEISAGDGATGALMSIHNSVGCGPILNYGTESQKQTWLADLASGQAIGCFCLTEPQAGSEAHNLRTRAELRDGHWVITGAKQFVSNGKRAKLAIVFAITDPELGKKGISAFLVPTATPGFVVDRTEHKMGIRASDTCAVTLNQCTVPEANLLGERGKGLAIALSNLEGGRIGIAAQALGIARAAFEAALAYARDRVQFDKAIIEHQSVANLLADMQTQLNAARLLILHAARLRSAGKPCLSEASQAKLFASEMAEKVCSSAMQIHGGYGYLEDYPVERYYRDARITQIYEGTSEIQRMVIARELKHYQL\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF2715,PS417_13850,PS417_RS14225,WP_010210411.1,UPI00029AB5F1,2-methylbutanoyl-CoA dehydrogenase (EC 1.3.8.1),\"Specifically important for: L-Isoleucine. SEED has it as butyryl-CoA dehydrogenase, which is also expected to perform this reaction in isoleucine catabolism\",acyl-CoA dehydrogenase,Butyryl-CoA dehydrogenase (EC 1.3.99.2),,MLPNEEQLQISDAARQFAQERLKPFAAEWDREHRFPKEAIGEMAELGFFGMLVPEQWGGCDTGYLAYAMALEEIAAGDGACSTIMSVHNSVGCVPVLKFGNDQQKEQFLKPLASGAMLGAFALTEPQAGSDASSLKTRARLEGDHYVLNGCKQFITSGQNAGVVIVFAVTDPAAGKRGISAFIVPTDSPGYSVARVEDKLGQHASDTCQILFEDVKVPVANRLGEEGEGYKIALANLEGGRVGIASQAVGMARAAFEAARDYARERESFGKPIIEHQAVAFRLADMATQIAVARQMVHYAAALRDSGKPALVEASMAKLFASEMAEKVCSAALQTLGGYGYLSDFPLERIYRDVRVCQIYEGTSDIQRMVISRNL\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF3392,PS417_17360,PS417_RS10860,WP_010209382.1,UPI000299FAF3,D-galacturonate dehydrogenase (EC 1.1.1.203),Specifically important for: D-Galacturonic Acid monohydrate. KEGG now annotates it as uronate dehydrogenase which is correct (although less specific) (KEGG_correct),NAD-dependent dehydratase,UDP-glucose 4-epimerase (EC 5.1.3.2),,MTTTPTTPVPFNRLLLTGAAGGLGKVLRERLRPYAQVLRLSDIANMAPAADASEEVQPCDLADKQAVHHLVEGVDAILHFGGVSVERSFEEVLGANISGIFHIYEAARRHGVKRVIFASSNHVIGFYKQGEKLDAHSPRRPDSYYGLSKSYGEDMASFYFDRYGIETVSIRIGSSFPEPQNRRMMHTWLSFDDLTQLLERALYTPNVGHTVVYGMSDNLDTWWDNRYAAHLGFAPKDSSEVFRAQVETQPPVSDNDPAKVYQGGAFCAAGPFGD\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF3393,PS417_17365,PS417_RS10855,WP_010209380.1,UPI00029A69C7,\"galactaro-1,5-lactonase\",\"# Specifically important in carbon source D-Galacturonic Acid monohydrate. This is the second step after D-galacturonate dehydrogenase (PS417_17360) and forms meso-galactarate, which is the substrate of PS417_04210. The substrate is probably the 1,5-lactone, not the 1,4-lactone, given the characterization of the D-galacturonate dehydrogenase from Agrobacterium tumefaciens (PMID:24450804), which is 51% identical to PS417_17360.\",gluconolactonase,Gluconolactonase (EC 3.1.1.17),,MNAELIVDARNAVGECPVWVPGENALYWVDIPKGGLQRWSAATGHVAAWTAPQMLACIARTDAGNWVAGMETGFFQLTPHNDGSLDTTLLAAVEHPRQDMRLNDGRCDRQGRFWAGSMVLNMGLNAAEGTLYRYTSGAAPHAQLDGFITLNGLAFSPDGRTMYASDSHPLVQQIWAFDYDIDTGTPSNRRVFVDMHKHLGRPDGAAVDADGCYWICANDAGLIHRFSPDGRLDRSLTVPVKKPTMCAFGGSRLDTLFVTSIRDDQSEQSLSGGVFALNPGVVGLPEPTFTL\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF3404,PS417_17420,PS417_RS10800,WP_010209365.1,UPI00029A62DC,ethanol oxidation regulatory protein ercA,\"Strongest phenotype is on ethanol. Similar to ercA (PA1991) which apparently has a regulatory role (PMCID: PMC3754586) rather than being directly involved in catabolism. Consistent with a regulatory role, this gene has pleiotropic phenotypes. The main ethanol dehydrogenase is probably PS417_17460.\",alcohol dehydrogenase,Alcohol dehydrogenase (EC 1.1.1.1); Acetaldehyde dehydrogenase (EC 1.2.1.10),,MSPNLSLLRKFVSPEIIFGAGCRHNVGNYAKTFGARKVLVVSDPGVIAAGWVADVEASLQAIGIDYCLYSAVSPNPRVEEVMLGAEVYRENHCDVIVAIGGGSPMDCGKAIGIVVAHGRCILEFEGVDTIRVPSPPLILIPTTAGTSADVSQFVIISNQQERMKFSIVSKAVVPDVSLIDPETTASMDPFLSACTGIDALVHAIEAFVSTGHGPLTDPHALEAMRLINGNLVQMIANPGDIALREKIMLGSMQAGLAFSNAILGAVHAMSHSLGGFLDLPHGLCNAVLVEHVVAFNYNSAPERFKVIAETFGIDCRGLSHRQVCARLVEHLIALKHAIGFHETLGLHGVRVADIPFLSRHAMHDPCILTNPRESSQRDVEVVYGEAL\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF3434,PS417_17580,PS417_RS10650,WP_010209327.1,UPI00029A57C7,arginine deiminase (EC 3.5.3.6),\"Important on citrulline, which is catabolized via arginine by this reaction in reverse; distantly related to characterized arginine deiminases (PF02274)\",amidinotransferase,,,MQTTNTVLMIRPARFAFNPDTAINNRFQRQPLDPLGAQQKALEEFDGYVDTLRRHGVEVLVVQDTPAPHTPDSIFPNNWWSSHADGSLVLYPMEGQNRRLERNKGVLQVLEQRFAINSTIDLSHLEQQNIFLEGTGSMVLDRQHRISYACHSGRTHQDALRQFAERLDYQLCVFHAVDRHHAPIYHSNVMMSVGRDLSVVCLQALPDASERQGLERSLRDTGKDILALDFDQLEGFAGNMLEIHDRDGQPLLVMSASAWGALQPAQRQHVERHTRPVVVNIDNIERIGGGSARCMLAEVHLPARATVQ\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF3461,PS417_17720,PS417_RS10515,WP_010209291.1,UPI00029A5520,xylitol 2-dehydrogenase (EC 1.1.1.9),Specifically important for: Xylitol. This is the first step in xylitol degradation (SEED_correct),iditol 2-dehydrogenase,Xylitol dehydrogenase (EC 1.1.1.9),L-iditol 2-dehydrogenase,MDKHTEMQAVVCHGPKDYRLERIGKPQARANELVIRIAACGICASDCKCHSGAAMFWGGDNPWVKAPVVPGHEFFGYVVEAGEGAEEHFEVAVGDKVIAEQIVPCGKCRFCKSGKYWMCEVHNIFGFQREVAEGGMAQYMRIPKTAIVHKIPESVSLEDSALVEPMACSIHTVNRGDIQLDDVVVIAGAGTLGLCMVQVAALKTPKKLVVIDMVDERLELAKKFGADVVINPSRDNAREIINGLTDNYGCDVYIETTGVPAGVTQGLDLIRKLGRFVEFSVFGAETSVDWSIIGDRKELDVRGAHLGPYCYPIAIDLFERGLVTSKGIVTHDFPLDDWAEAFELANSTKSIKVLLKPVV\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4091,PS417_20960,PS417_RS07405,WP_010208503.1,UPI00029A64B9,Nitrate-binding regulatory protein (nasS),\"This protein is specifically important for the utilization of nitrate as a nitrogen source, but this may be a polar effect. It is74% identical to the nasS/PA1786 protein from P. aeruginosa (PMID:22493305) and to nasS from Azotobacter vinelandii (PMID:8748040), which binds nitrate and suppresses the activity of the transcriptional activator nasT. It is also more distantly related to the periplasmic substrate-binding components of nitrate ABC transporters (i.e., 37% identity to the N terminal part of ntrC/sll1452 and 36% identity to ntrA/sll1450), hence the misannotation as a transporter.\",nitrate transporter,\"Nitrate ABC transporter, nitrate-binding protein\",sulfonate/nitrate/taurine transport system substrate-binding protein,MNDSDGNSPMNDPLAWVNGSDAPEKSSLDLGFMALSDCASMVVAATQGFAQPYGLTLNLKRQTSWANLRDKLVSGELDAAHSLYGLIYAVHLGIGGVAPTDMAVLMGLNQNGQSINLSRGLQQQGVITPEALDRHVHQSRTKLTFAQTFPTGTHAMWLYYWLASQGIHPLQDVDSVVVPPPQMVAHLQAGRIDGFCVGEPWCASAVKQNQGFTLATTQAIWPDHPEKVLGCTQAFVDQYPNTARVLVMAILEASRFIEESSENRRSTAQLLSGREYLDAPLDCIEPRLLGTYDDGLGNHWQDPHALRFFADGEVNLPYLSDGMWFMTQFRRWGLLREDPDYLGVARQVQQLPLYRQAAAALGIATKHPDMRSSQLIDGKVWDGSDPADYARSFRLHALADTTHRQALR\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF4238,PS417_21710,PS417_RS06670,WP_010208316.1,UPI00029ACDDF,Succinylornithine transaminase (EC 2.6.1.81),\"Specifically important for: L-Arginine. succinylornithine transaminase is involved in L-arginine degradation via N-succinylarginine. Also this gene is cofit with other putative steps in that pathway (N-succinylarginine dihydrolase, succinylglutamate-semialdehyde dehydrogenase, succinylglutamate desuccinylase). In contrast, neither of the functions proposed by KEGG have an obvious relationship to arginine catabolism. (SEED_correct)\",acetylornithine aminotransferase,Succinylornithine transaminase (EC 2.6.1.81),acetylornithine/N-succinyldiaminopimelate aminotransferase,MSVEQAPVQRADFDQVMVPNYAPAAFIPVRGEGSRVWDQAGRELIDFAGGIAVNVLGHAHPALVGALTEQAHKLWHVSNVFTNEPALRLAHKLIDATFAERVFFCNSGAEANEAAFKLARRVAFDRFGSEKYEIIAALNSFHGRTLFTVNVGGQSKYSDGFGPKITGITHVPYNDLDALKAAVSDKTCAVVLEPIQGEGGVLPAELAYLQGARDLCDANNALLVFDEVQTGMGRSGHLFAYQHYGVTPDILTSAKSLGGGFPIAAMLTTEALAKHLVVGTHGTTYGGNPLACAVAEAVIDVINTPEVLAGVNAKHDLFKARLEQIGKQYGIFTEVRGMGLLLGCVLSDAFKGKAKDVFNAAEKENLMILQAGPDVVRFAPSLVVEDADIKEGLDRFERAVKALTQA\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4244,PS417_21740,PS417_RS06640,WP_010208305.1,UPI00029A6D5A,\"ABC transporter for L-Arginine, permease component 1\",Specific phenotypes on L-Arginine; L-Arginine. KEGG annotation has been updated since the last public release (KEGG_correct),ABC transporter,,,MLKGYGAVILDGAWLTLQLALSSMALAIVLGLIGVALRLSPVRWLAWLGDLYSTVIRGIPDLVLILLIFYGGQDLLNRVAPMLGYDDYIDLNPLAAGIGTLGFIFGAYLSETFRGAFMAIPKGQAEAGLAYGMSSFQVFFRVMVPQMIRLAIPGFTNNWLVLTKATALISVVGLQDMMFKAKQAADATREPFTFFLAVAAMYLVITSVSLLALRHLEKRYSVGVRAADL\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4321,PS417_22130,PS417_RS06255,WP_010208189.1,UPI00029B0C82,\"ABC transporter for D-Glucose-6-Phosphate, ATPase component\",Specific phenotype on D-Xylose; D-Glucose-6-Phosphate sodium salt. Xylose has its own transporter so the reason for a phenotype on xylose is unclear.,sugar ABC transporter ATPase,\"Glucose ABC transporter, ATP-binding subunit (EC 3.6.3.-)\",multiple sugar transport system ATP-binding protein,MATLELRNVNKTYGAGLPDTLKNIELSIKEGEFLILVGPSGCGKSTLMNCIAGLETITGGAIMIGDQDVSGMSPKDRDIAMVFQSYALYPTMSVRENIEFGLKIRKMPQADIDAEVARVAKLLQIEHLLNRKPGQLSGGQQQRVAMGRALARRPKIYLFDEPLSNLDAKLRVEMRTEMKLMHQRLKTTTVYVTHDQIEAMTLGDKVAVMKDGIIQQFGTPKEIYNNPANQFVASFIGSPPMNFVPLRLQRKDGRLVALLDSGQARCELALNTTEAGLEDRDVILGLRPEQIMLAAGEGDSASSIRAEVQVTEPTGPDTLVFVQLNDTKVCCRLAPDVAPQVGETLTLQFDPSKVLLFDANTGERLGTASSLPAQGHADNVAQFKGR\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4322,PS417_22135,PS417_RS06250,WP_010208187.1,UPI00029A8D08,\"ABC transporter for D-Glucose-6-Phosphate, permease component 1\",Specific phenotypes on D-Glucose-6-Phosphate sodium salt; D-Glucose-6-Phosphate sodium salt. Also  somewhat important on D-xylose but that has its own transporter so the interpretation is unclear.,sugar ABC transporter permease,\"Glucose ABC transport system, inner membrane component 2\",multiple sugar transport system permease protein,MTSLASKPAISLSRIAIYAVLILAVLLYLVPLVVMLLTSFKTPEDISSGNLLSWPTVVTGIGWVKAWATVDGYFWNSIKITVPAVLISTAIGALNGYVLSFWRFKGSQLFFGLLLFGCFLPFQTVLLPASFTLGKMGLASTTTGLVFVHVVYGLAFTTLFFRNYYVSIPDALIKAARLDGAGFFTIFRQIILPMSTPIIMVCLIWQFTQIWNDFLFGVVFSSGDSQPITVALNNLVNTSTGAKEYNVDMAAAMIAGLPTLLVYVIAGKYFVRGLTAGAVKG\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4323,PS417_22140,PS417_RS06245,WP_010208185.1,UPI000299D5D4,\"ABC transporter for D-Glucose-6-Phosphate, permease component 2\",Specific phenotypes on D-Glucose-6-Phosphate sodium salt; D-Glucose-6-Phosphate sodium salt. Also  somewhat important on D-xylose but that has its own transporter so the interpretation is unclear.,sugar ABC transporter permease,\"Glucose ABC transport system, inner membrane component 1\",multiple sugar transport system permease protein,MSSVAVFSKASPFDALQRWLPKLVLAPSMFIVLVGFYGYILWTFVLSFTNSTFLPTYKWAGLAQYARLFDNDRWWVASKNLAVFGGMFIGITLVIGVTLAIFLDQKIRREGFIRTIYLYPMALSMIVTGTAWKWLLNPGMGLDKLLRDWGWEGFRLDWLIDPDRVVYCLVIAAVWQASGFIMAMFLAGLRGVDQSIVRAAQIDGASMPRIYWSVVLPSLRPVFFSAVMILAHIAIKSFDLVAAMTAGGPGYSSDLPAMFMYSFTFSRGQMGMGSASAILMLGAILAIIVPYLYSELRTKRND\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4324,PS417_22145,PS417_RS06240,WP_010208183.1,UPI00029A56A3,\"ABC transporter for D-Glucose-6-Phosphate, periplasmic substrate-binding component\",Specific phenotype on D-Xylose; D-Glucose-6-Phosphate sodium salt. Probably also the main transporter for D-xylose.,sugar ABC transporter substrate-binding protein,\"Glucose ABC transport system, periplasmic sugar-binding protein\",multiple sugar transport system substrate-binding protein,MNAINRLAVAISIASLFPLSAFAADSKGTVEVVHWWTSGGEKAAVDVLKAQVEKDGFVWKDGAVAGGGGATAMTVLKSRAVAGNPPGVAQIKGPDIQEWASTGLLDTDVLKDVAKEEKWDSLLDKKVSDTVKYEGDYVAVPVNIHRVNWLWINPEVFKKAGITKNPTTLQEFYAAGDKLKAAGFIPLAHGGQPWQDSTVFEAVVLSVMGADGYKKALVDLDNGALTGPEMVKALTELKKVATYMDVDGKGQDWNLEAGKVINGKAGMQIMGDWAKSEWTAAKKVAGKDYECVAFPGTDKAFTYNIDSLAVFKQKDKGTAAGQQDIAKVVLGENFQKVFSINKGSIPVRNDMLNKMDSYGFDSCAQTAAKDFLADAKTGGLQPSMAHNMATTLAVQGAFFDVVTNYINDPKADPADTAKKLGAAIKSAK\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF4325,PS417_22150,PS417_RS06235,WP_038453710.1,UPI00049AFFAB,D-mannose isomerase (EC 5.3.1.7),\"Specifically important for: D-Mannitol; D-Mannose. D-mannose isomerase is the first step in mannose catabolism, and the second step in mannitol catabolism. This gene is similar to the putative mannose isomerase Sama_0560 (PMID:20836887, PMCID: PMC4436071).\",sugar isomerase,N-acylglucosamine 2-epimerase (EC 5.1.3.8),,MITQPLPASSWLNAPAHYVWLAAEGQRLLAFAKASRLPDGFGNLDDKGQLPADAHAETMNTARMTHSFAMAHALGLPGYAELVAHGVAALSGALRDSEHGGWFAAPHALDGNRGKAAYLHAFVALAASSAVVAGAPGASTLLNDAIHIIDHFFWSEEEGVMLESFAQDWSGVEAYRGANSNMHATEAFLALADVTGDTRWLDRALRIVERVIHTHAAGNQFMVIEHFDTHWHPLLGYNEDNPADGFRPYGITPGHGFEWARLVLHLEAARLQAGLVTPEWLVADAKRLFASACEYAWSVDGAPGIVYTLDWNHRPVVRERLHWTHAEASAAAQALLKRTGELHYETWYRRFWEFCETHFIDRLHGSWHHELSPHNQPSSNIWGGKPDLYHAWQAVLLPALPLAPSMASAIGTGRYVTNW\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4500,PS417_23035,PS417_RS05360,WP_010207948.1,UPI00029A7B26,\"D-trehalose PTS system, I, HPr, and IIA components\",Specific phenotype for trehalose and no other trehalose transporter is apparent in the fitness data. The IIB and IIC components are provided by PS417_23050,PTS mannose transporter subunit IIC,\"PTS system, glucose-specific IIA component (EC 2.7.1.69) / Phosphotransferase system, phosphocarrier protein HPr / Phosphoenolpyruvate-protein phosphotransferase of PTS system (EC 2.7.3.9)\",\"PTS system, fructose-specific IIA component ; phosphotransferase system, enzyme I, PtsI ; phosphocarrier protein FPr\",MTTTQPLELLAPLSGVLLALDKVPDPVFSSRLIGDGLCIDPTSQTLCAPLAGVISNIQDSGHAVSITDDNGVQVLMHIGLDTVNLAGQGFTRLVQEGQRVEAGQPLIEFDADYVALNARSLLTLMLVVSGEPFSLLADGLVETGQPLLQLSPSGAVEAVDEEEGDALFSKPLTLPNANGLHARPAAVFAQAAKGFNASIYLHKQTQSANAKSLVAIMALQTVQGDTLQVSAAGEDAEAAIKALVALLAEGCGEAVVNVAEPVATQSSATLLRGVCASPGSAFGQVVQVTDPELVITEQGTGGATERAALTRGLLAANEALQVLQDKAAGSAQAEIFRAHQELLEDPTLLEHAHRLLGEGKSAAFAWNSATLATVTLFQGLGNALIAERAADLADVGQRVLKLILGIQDSAWDLPERAILIAEQLTPSQTASLDTRKVLGFVTVAGGATSHVAILARALGLPAICGVPAQVLALANGKQVLLDADKGELHLEPNLAEIEQLEAARKHQVLRHQRDVAQASLPATTRDGHHVEVTANVASLQEVEHALTLGGEGVGLLRSEFLYLDRNRAPSPEEQAGTYTAIARALGTERNLVVRTLDVGGDKPLAYVPMDAETNPFLGLRGIRLCLERPQLLREQFRAILASAGFARLHIMLPMVSLLSELHLARKILEEEALALGLTELPKLGIMIEVPSAALMADVFAPHVDFFSIGTNDLTQYTLAMDRDHPRLANQADSFHPAVLRLIATTVKAAHAHGKWVGVCGALASEALAVPVLIGLGVDELSVSVPLIPTIKATVRELDLADCQIIARQVLGLEEAAEVREALRQYHAATVESSPVVEH\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4501,PS417_23040,PS417_RS05355,WP_010207947.1,UPI00029ADD78,D-trehalose outer membrane porin,Specific phenotype for trehalose (and conserved),maltoporin,\"Maltoporin (maltose/maltodextrin high-affinity receptor, phage lambda receptor protein)\",maltoporin,MKTTIKLGLVASCLGLPFGAQALEFAGYLRSGAGTSTGSGPQQCFQLPGAQTKYRLGNECEQYAELELRQDLLTLDDGSVLSVDAMASLYNKYDRALKFQGENNGSARMPQMYAQWSNLPSLNGGSLWAGRRYYKRNDIHISDFYYWNQSATGGGIEDVLIGDLKYSYAISRKDNLYQKEYATRHDFNVAGFKTNPGGELELGLSYIEKAGGRDTNSGWALTAQHVQKPFLGGKNKFALQYGEGPGTGLGYTGNTFLDKSSKSYRAVEFFDWQVTPRFGGQIEAVYQKDIRPGSQDQTWMSLGVRPAYAISEQFKLVTELGHDQVDATGGTRKLSKFTFAPTWSPKGPEFWARPEVRLYYTYATWNKAAKRAANELAAGSALSDTGSYGTARHGSNVGVQVEYWWK\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF4629,PS417_23685,PS417_RS04715,WP_010206526.1,UPI00029B3552,\"anthranilate 1,2-dioxygenase (deaminating, decarboxylating) large subunit [EC: 1.14.12.1]\",Specifically important for: L-Tryptophan. anthranilate is an intermediate in the breakdown of tryptophan (via kynurenine) (KEGG_correct),\"anthranilate 1,2-dioxygenase\",\"Benzoate 1,2-dioxygenase alpha subunit (EC 1.14.12.10)\",\"anthranilate 1,2-dioxygenase (deaminating, decarboxylating) large subunit\",MSGARSVEQWKTFIEGCLDFRPADEVFRIARDMFTEPQLFDLEMELIFEKNWIYACHESELANNHDFVTMRAGRQPMIITRDGEGQLNALINACQHRGTTLTRVGKGNQSTFTCPFHAWCYKSDGRLVKVKAPGEYPDGFDKATRGLKKARIESYKGFVFISLDVAGTDSLEDFLGDAKVFFDMMVAQSATGELEVLPGKSAYTYDGNWKLQNENGLDGYHVSTVHYNYVATVQHRQQVNTENGAGAGSTLDYSKLGAGDANTDDGWFAFNNGHSVLFSDMPNPSVRSGYATIMPRLVEEHGQQKAEWMMHRLRNLNIYPSLFFLDQISSQLRIIRPVAWNKTEIISQCLGVKGESDADRENRIRQFEDFFNVSGMGTPDDLVEFREAQRGFQGRLERWSDISRGSHRWETGPTPNSEAIGIQPAMTGTEFTHEGLYVNQHRNWQQFLLNGLDRQALTLREVK\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF4712,PS417_24105,PS417_RS04300,WP_010206633.1,UPI00029B168E,D-lactate transporter (lctP family),\"specific phenotype for D-lactate and no other transporter for D-lactate was apparent in the fitness data. Also important for utilization of D,L-lactate. Not clear if it transports L-lactate as well or not, but since it is in an apparent operon with a D-lactate dehydrogenase (PS417_24110), its main role is probably for transport of D-lactate.\",L-lactate permease,L-lactate permease,\"lactate transporter, LctP family\",MQTWQQLYSPLGSLGLSAMAAVIPIVFFFLALAVFRLKGHVAGSITLALSILVAIFAFQMPVDMALAAAGYGFAYGLWPIAWIIVAAVFLYKLTVKSGQFEIIRSSVLSITDDQRLQVLLIGFCFGAFLEGAAGFGAPVAITAALLVGLGFNPLYAAGLCLIANTAPVAFGALGIPIIVAGQVTGIDAFKIGAMTGRQLPLLSLFVPFWLVFMMDGVRGVRETWPAALVAGLSFAITQYFTSNFIGPELPDITSALASLISLTLFLKVWQPKRTAGAQIAGATSSAAVTASAGGFGLPRNTIVSPYSLGQIFKAWSPFLILTVLVTIWTLKPFKAMFAAGGSMYSWVFNFAIPHLDQLVIKVAPIVTNPTAIPAVFKLDPISATGTAIFFSALISMLVLKIDIKTGLTTLKETFYELRWPILSIGMVLAFAFVTNYSGMSSTMALVLAGTGAAFPFFSPFLGWLGVFLTGSDTSSNALFSSLQATTAHQIGVNDTLLVAANTSGGVTGKMISPQSIAVACAATGLVGKESDLFRFTLKHSLFFATIVGLITLAQAYWFTGMLVH\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF5067,PS417_25960,PS417_RS02565,WP_010207013.1,UPI00029A3054,Acyl-CoA dehydrogenase (EC 1.3.8.7),\"Specifically important for: Sodium octanoate. presumably part of beta oxidation, but not sure why 2 different ones are required (could relate to different chain lengths) (SEED_correct)\",acyl-CoA dehydrogenase,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MADYKAPLRDMRFVLNEVFEVATTWAQLPALADTVDAETVEAILEEAGKVTAKSIAPLSRGGDEQGCRWDNTAVFTPDGFPQAYATYAQGGWVGVGGDPIFGGMGMPKAVSAQVEEMINSSSLAFGLYPMLTSGACVSINTHASEALKATYLPKMYSGEWSGSMCLTEAHAGTDLGIIRTKAEPQADGSYKVSGTKIFITGGEHDLTDNIIHLVLAKLPDAPAGPKGISLFLVPKFMVNADGSLGARNTVSCGSIEHKMGIQASATCVMNFDEAVGYLVGEPNRGLAAMFTMMNYERLGVGIQGLASGERSYQNAIEYARDRLQSRAPTGAQAQDKMADPIIVHPDVRRMLLTMKAANEGGRAFSTYVATQLDIAKFSDDAAARERADNLVALLTPVAKAFLSDLGLETTVLGQQVFGGHGYIREWGQEQLVRDVRITQIYEGTNGIQALDLMGRKIVGSGGAFYTLFADEIRGFIASSGTELAEFTKPLSAAVDNLDELTAWVLDRAKTNPNEIGAASVEYLHAFGYMAYAYMWARMAKAALGKESEEDFYASKLGTARFYFARLLPRIHSLSASVKAGSESLFLLDEALF\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF5070,PS417_25975,PS417_RS02550,WP_010207016.1,UPI00029AE91F,Acyl-CoA dehydrogenase (EC 1.3.8.7),\"Specifically important for: Sodium octanoate. presumably part of beta oxidation, but not sure why 2 different ones are required (could relate to different chain lengths) (SEED_correct)\",acyl-CoA dehydrogenase,Acyl-CoA dehydrogenase (EC 1.3.8.7),,MPDYKAPLRDIRFVRDELLGYEAHYQSLPACQDATPDMVDAILEEGAKFCEQVLAPLNRVGDIEGCTWSESGVKTPTGFKEAYKQFVEGGWPSLAHDVEHGGQGLPESLGLAVSEMVGEANWSWGMYPGLSHGAMNTISEHGTPEQQEAYLTKLVSGEWTGTMCLTEPHCGTDLGMLRTKAEPQADGTYKVSGTKIFISAGEHDMADNIVHIVLARLPDAPAGTKGISLFIVPKFLPNADGSIGARNAVTCGSLEHKMGIHGNATCVMNFDAATGFLIGPANKGLNCMFTFMNTARLGTALQGLAHAEIGFQGGLKYARDRLQMRSLTGPKAPDKAADPIIVHPDVRRMLLTMKAFAEGNRAMVYFTAKQVDIVKYGTDDEAKKQADGLLAFMTPIAKAFMTEVGFESANHGVQIYGGHGFIAEWGMEQNVRDSRISMLYEGTTGIQALDLLGRKVLMTQGEALKGFTKIVHKFCQANEGNEAVKEFVAPLAALNKEWGELTMKVGMAAMKDREEVGAASVDYLMYSGYACLAYFWADMARLAAEKLAAGTTEEAFYTAKLQTARFYFQRILPRTRTHVATMLSGANNLMDMKEEDFGLAY\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF5299,PS417_27130,PS417_RS01405,WP_010207340.1,UPI000299D157,Gamma-aminobutyrate:alpha-ketoglutarate aminotransferase (EC 2.6.1.19),\"Specifically important for: Putrescine Dihydrochloride. KEGG annotates this as putrescine aminotransferase, probably based on similarity to spuC (PA0299) of P. aeruginosa, but it is believed that only the g-glutamyl- pathway operates in P. aeruginosa (X. Yao et al 2011, PMC3147493)\",aminotransferase,Omega-amino acid--pyruvate aminotransferase (EC 2.6.1.18),putrescine aminotransferase,MSSNNPQTREWQALSSDHHLAPFSDFKQLKEKGPRIITKAHGVYLWDSEGNKILDGMAGLWCVAIGYGRDELADAAAKQMKELPYYNLFFQTAHPPVLELAKAISDIAPAGMNHVFFTGSGSEGNDTMLRMVRHYWAIKGQPNKKTIISRKNGYHGSTVAGASLGGMTYMHEQGDLPIPGITHIAQPYWFGEGGDMSPEEFGVWAANQLEEKILELGVDNVGAFIAEPIQGAGGVIVPPATYWPRIKEILAKYDILFIADEVICGFGRTGEWFGSDFYDLKPHMMTIAKGLTSGYIPMGGLIVRDEVVEVLNEGGDFNHGFTYSGHPVAAAVALENIRIMRDEKIVNRVHDETAPYLQKRLRELADHPLVGEVRGVGMLGAIELVQDKATRKRYEGKGVGMICRTFCFENGLIMRAVGDTMIISPPLVISKAEIDELVTKARQCLDLTLAALQG\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF5301,PS417_27140,PS417_RS01395,WP_010207341.1,UPI00029A5BC8,Gamma-glutamyl-putrescine synthetase (EC 6.3.1.11),Specifically important for: Putrescine Dihydrochloride; L-Arginine. The first step in the gamma-glutamyl-putrescine pathway,gamma-glutamylputrescine synthetase,glutamine synthetase family protein,glutamine synthetase,MSVPPRAVQLNEANAFLKDHPEVLYVDLLIADMNGVVRGKRIERTSLHKVYEKGINLPASLFALDINGSTVESTGLGLDIGDADRICYPIPDTLCNEPWQKRPTAQLLMTMHELEGEPFFADPREVLRQVVSKFDDLGLTICAAFELEFYLIDQENVNGRPQPPRSPISGKRPHSTQVYLIDDLDEYVDCLQDILEGAKEQGIPADAIVKESAPAQFEVNLHHVADPIKACDYAVLLKRLIKNIAYDHEMDTTFMAKPYPGQAGNGLHVHISILDKDGKNIFASEDPEQNAALRHAIGGVLETLPAQMAFLCPNVNSYRRFGAQFYVPNSPCWGLDNRTVAIRVPTGSSDAVRIEHRVAGADANPYLLMASVLAGVHHGLTNKIEPNAPVEGNSYEQNEQSLPNNLRDALRELDDSEVMAKYIDPKYIDIFVACKESELEEFEHSISDLEYNWYLHTV\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF5420,PS417_27745,PS417_RS00800,WP_010207491.1,UPI00029B3B75,gamma-glutamyl-gamma-aminobutyraldehyde dehydrogenase (EC 1.2.1.54),Specifically important for: Putrescine Dihydrochloride. This is part of the gamma-glutamylputrescine pathway. Annotated as the 4-guanidino enzyme in KEGG (based on studies of PA5312 = kauB). Since this enzyme is closely related to kauB it is probably flexible.,aldehyde dehydrogenase,Aldehyde dehydrogenase (EC 1.2.1.3),4-guanidinobutyraldehyde dehydrogenase / NAD-dependent aldehyde dehydrogenase,MTTLTRADWEQRAKDLKIEGRAYINGEYTAAVSGDTFECISPVDGRLLATVASCDAADAQRAVENARATFNSGVWSRLAPAKRKSAMLRFAALLKANAEELALLETLDMGKPISDSLNIDVPGAANALSWSGEAIDKIYDEVAATPHDQLGLVTREPVGVVGAIVPWNFPLMMACWKLGPALSTGNSVILKPSEKSPLTAIRIAALAVEAGIPKGVFNVLPGYGHTVGNALALHMDVDTLVFTGSTKIAKQLLIRSGESNMKRVWLEAGGKSPNIVFADAPDLQAAAESAAGAIAFNQGEVCTAGSRLLVERSIKDKFLPLVIEALKGWKPGNPLDPATNVGALVDTQQMNTVLSYIEAGHADGAKLVAGGKRTLEETGGTYVEPTIFDGVTNAMKIAKEEIFGPVLSVITFDSAEEAVAIANDTIYGLAAAVWTADISKAHLTAKALRAGSVWVNQYDGGDMTAPFGGFKQSGNGRDKSLHAFDKYTELKATWIKL\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF5490,PS417_28100,PS417_RS00450,WP_010207589.1,UPI000299DEB1,glucose-6-phosphate 1-epimerase [EC: 5.1.3.15],\"Specifically important for: D-Trehalose dihydrate; N-Acetyl-D-Glucosamine. NAG is phosphorylated by a PTS system, deacetylated (PS417_22985), and converted to fructose-6-phosphate by an aminotranferase (PS417_22990). One might expect the fructose-6-P to be converted to fructose-1,6-bisphosphate, but no gene for that is apparent in this organism or many other Pseudomonas (nor did the fitness data highlight any kinase). Instead, the fructose-6-phosphate is apparently converted to glucose-6-phosphate by the glucose-6-phosphate isomerase (PS417_23920) and oxidized by G6P dehydrogenase (PS417_22110). (Both of these genes are essential so we cannot confirm this.) G6P dehydrogenase is reportedly specific for the beta form, while G6P isomerase produces the alpha form of G6P, so it makes sense for a glucose-6-P epimerase to be involved (even though the reaction can occur spontaneously). This gene is also mildly important for trehalose utilization, which involves the hydrolysis of trehalose 6-phosphate to glucose-6-phosphate. Because trehalose has an alpha 1->1 linkage, the product is probably alpha-G6P. Thus, this gene's phenotypes are consistent with KEGG's annotation as glucose-6-phosphate 1-epimerase.  (KEGG_correct)\",aldose epimerase,Aldose 1-epimerase,glucose-6-phosphate 1-epimerase,MPTPHVETVKIDELDCWRIRHNGAELIVAQQGAHLFSYGRDGEQPLIWPNPEAVFKKGKGIRTGVPVCWPWFGVFDRNPQSVKAMRQSEQPAGAHGFVRTALWELAATELEGEALRVDLVLPVPAGGFPGWPHQVDLTLSLLLDEQLHIRLTSHNRGTDTVTLSQALHTYFAVSDVRNAQVEGLDGRAYIDTADGWTEKTQSGLLHFTAETDRIYLDTPSQLTIVDKDWQRRIQLTSEGSKSTVIWNPWTERAKAFDDMADDGWTGMLCIETANVLDDVVSLAPGESHTLGVSIAAIAL\r\ncatabolism,Pseudomonas simiae WCS417,WCS417,GFF827,PS417_04200,PS417_RS23585,WP_010213153.1,UPI00029AA936,2-ketoglutaric semialdehyde dehydrogenase (EC 1.2.1.26),Specifically important for: D-Galacturonic Acid monohydrate. alpha-ketoglutarate semialdehyde is an intermediate in the oxidation of galacturonate (SEED_correct),aldehyde dehydrogenase,2-ketoglutaric semialdehyde dehydrogenase (EC 1.2.1.26),aldehyde dehydrogenase (NAD+),MSQAQRFDNYINGQWVAGADYCVNLNPSELSDVIGEYAKADVTQVNAAIDAARAAFPAWSTSGIQARHDALDKVGSEILARREELGTLLAREEGKTLPEAIGEVTRAGNIFKFFAGECLRLSGDYVPSVRPGVNVEVTREALGVVGLITPWNFPIAIPAWKIAPALAYGNCVVIKPAELVPGCAWALAEIISRAGFPAGVFNLVMGSGRVVGDVLVNSPKVDGISFTGSVGVGRQIAVSCVSRQAKVQLEMGGKNPQIILDDADLKQAVELSVQSAFYSTGQRCTASSRLIVTAGIHDQFVAAMAERMKSIKVGHALKSGTDIGPVVSQAQLDQDLKYIDIGQSEGARLVSGGGLVTCDTEGYYLAPTLFADSEAAMRISREEIFGPVANVVRVADYEAALAMANDTEFGLSAGIATTSLKYANHFKRHSQAGMVMVNLPTAGVDYHVPFGGRKGSSYGSREQGRYAQEFYTVVKTSYIGS\r\ntransporters,Pseudomonas simiae WCS417,WCS417,GFF828,PS417_04205,PS417_RS23580,WP_010213152.1,UPI00029A5E75,D-galacturonate transporter (MFS superfamily),Specific phenotype on galacturonate. This phenotype is conserved. There is also another putative hexuronate transporter that has a weaker phenotype on galacturonate (PS417_14775).,glucarate transporter,D-galactarate permease,\"MFS transporter, ACS family, glucarate transporter\",MQATKPTHVRYLILLMLFLVTTINYADRATIAIAGSSLQKDLGIDAVTLGYIFSAFGWAYVAGQIPGGWLLDRFGSKKVYALSIFTWSLFTVLQGYVGEFGVSTAVVALFMLRFMVGLAEAPSFPGNARIVAAWFPTAERGTASAIFNSAQYFATVLFAPLMGWIVYSFGWQHVFIVMGVIGIIFSLIWLKVIHSPRQHPMINEAEFNHIAANGAMVDMDQDKGKGKKTDGPKWDYIRQLLTNRMMLGVYLGQYCINGITYFFLTWFPVYLVQDRGMTILKAGFIASLPAICGFIGGVLGGVISDYLLRKGHSLTFARKAPIIGGLLISSSIVACNYVDIEWMVVGFMALAFFGKGVGALGWAVVSDTSPKQIAGLSGGLFNTFGNLASITTPIVIGYIISTTGSFKWALVFVGANALVAVFSYLVIVGPIKRVVLKEPPTQGPELTRLTEAHS\r\n"
  },
  {
    "path": "parenthood_bin.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\nr\"\"\"Writes a dictionary of all transitive labels to apply to an example.\n\nIncludes EC, and GO labels (Enzyme Commission, Gene Ontology).\n\nThe format is gzipped json from key (GO term, EC number) to\nlist of all labels that should be applied to this term. For canonical labels,\nthe values in this list contain the key itself.\nFor non-canonical labels (e.g. obsoleted labels), the value of this map for a\nkey may not include the key itself, thus describing a normalized form for\nlabels.\n\n\"\"\"\n\nimport gzip\nimport io\nimport json\nfrom typing import Text, Dict, Set\n\nfrom absl import app\nfrom absl import flags\nfrom absl import logging\n\nimport parenthood_lib\nimport tensorflow.compat.v1 as tf\n\nFLAGS = flags.FLAGS\n\nflags.DEFINE_string('output_file', '/tmp/parenthood.json.gz',\n                    'The file to which the parenthood file will be written')\n\n\ndef _get_ec_transitive():\n  \"\"\"Loads dictionary of label to implied labels for EC numbers.\"\"\"\n  logging.info('Getting EC parenthood dict.')\n\n  with tf.io.gfile.GFile(parenthood_lib.EC_LEAF_NODE_METADATA_PATH) as f:\n    leaf_node_contents = f.read()\n  with tf.io.gfile.GFile(parenthood_lib.EC_NON_LEAF_NODE_METADATA_PATH) as f:\n    non_leaf_node_contents = f.read()\n\n  ec = parenthood_lib.parse_full_ec_file_to_transitive_parenthood(\n      leaf_node_contents, non_leaf_node_contents)\n  return ec\n\n\ndef _get_go_transitive():\n  \"\"\"Loads dictionary of label to implied labels for GO terms.\"\"\"\n  logging.info('Getting GO parenthood dict.')\n  with tf.io.gfile.GFile(parenthood_lib.GO_METADATA_PATH) as f:\n    whole_go_contents = f.read()\n  go_nontransitive = parenthood_lib.parse_full_go_file(whole_go_contents)\n\n  go_transitive = parenthood_lib.transitive_go_parenthood(go_nontransitive)\n  return go_transitive\n\n\ndef get_output_dict():\n  \"\"\"Get output dictionary of label to set of transitive applicable labels.\n\n  Returns:\n     Dictionary from label to all labels (transitively) that should be used\n     for an example with that label.\n\n  Raises:\n    ValueError if go and ec terms contain any shared keys.\n  \"\"\"\n  ec = _get_ec_transitive()\n  go = _get_go_transitive()\n  overlapping_keys = (\n      set(ec.keys()).intersection(go.keys()))\n  if overlapping_keys:\n    raise ValueError('There was an overlap in keys between EC/GO. '\n                     'Overlapping keys: {}'.format(overlapping_keys))\n\n  to_write = dict()\n  to_write.update(ec)\n  to_write.update(go)\n  return to_write\n\n\ndef write_output_dict(output_dict, output_path):\n  \"\"\"Writes `output_dict` as json to a gzipped file.\"\"\"\n  to_write_json = json.dumps(\n      {k: sorted(list(v)) for k, v in output_dict.items()},\n      sort_keys=True,\n  )\n\n  logging.info('gzipping dictionary.')\n  gzip_contents = io.BytesIO()\n  with gzip.GzipFile(fileobj=gzip_contents, mode='w') as f:\n    f.write(to_write_json.encode('utf-8'))\n\n  logging.info('Writing to file.')\n  with tf.io.gfile.GFile(output_path, 'wb') as output_file:\n    output_file.write(gzip_contents.getvalue())\n\n\ndef main(_):\n  output_dict = get_output_dict()\n  write_output_dict(output_dict, FLAGS.output_file)\n\n  logging.info('Done.')\n\n\nif __name__ == '__main__':\n  app.run(main)\n"
  },
  {
    "path": "parenthood_lib.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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# Lint as: python3\n\"\"\"Utilities for parsing EC and GO labels, and finding their parents.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\n\nfrom __future__ import print_function\n\nimport collections\nimport itertools\nimport os\nimport re\nimport typing\nfrom typing import (Collection, Dict, FrozenSet, Iterable, List, Optional, Set,\n                    Text, Tuple)\n\nimport pandas as pd\nimport utils\nimport tensorflow.compat.v1 as tf\nimport tqdm\n\n\n# From ftp://ftp.expasy.org/databases/enzyme/enzyme.dat\nDATA_DIR = 'data/'\nEC_LEAF_NODE_METADATA_PATH = os.path.join(DATA_DIR, 'enzyme.dat')\n\n# From ftp://ftp.expasy.org/databases/enzyme/enzclass.txt\nEC_NON_LEAF_NODE_METADATA_PATH = os.path.join(DATA_DIR, 'enzclass.txt')\n\n# From http://purl.obolibrary.org/obo/go.obo\nGO_METADATA_PATH = os.path.join(DATA_DIR, 'go.obo')\n\n# Labels that are implied by other labels.\n# Json is a map from string key (label) to list of applicable/implied\n# labels (string).\nAPPLICABLE_LABEL_JSON_PATH = os.path.join(DATA_DIR, 'parenthood.json.gz')\n\n# GO:followed by seven digits, followed by\n# either a space, or the end of the line.\nGO_TERM_REGEX = re.compile(r'(GO:\\d\\d\\d\\d\\d\\d\\d)( |$)')\n\n# Allows numbers in all positions, or a hyphen in latter positions, or an 'n',\n# indicating that the number is still undergoing consideration and review:\n# https://www.ebi.ac.uk/ena/WebFeat/qualifiers/EC_number.html\nEC_NUMBER_REGEX = r'(\\d+).([\\d\\-n]+).([\\d\\-n]+).([\\d\\-n]+)'\n_TOP_LEVEL_EC_CLASS_VALUE = '-.-.-.-'\n\n# Format of lines at ftp://ftp.expasy.org/databases/enzyme/enzclass.txt\n# that contain an EC number.\n_NON_LEAF_NODE_LINE_REGEX = re.compile(r'^\\d\\.')\n\n\n# The determination that these terms are either parenthood or not was made\n# with the help of this document:\n# https://owlcollab.github.io/oboformat/doc/GO.format.obo-1_2.html\n_IDENTITY_TYPE_GO_RELATIONS = {\n    # Used for obsolete terms.\n    'replaced_by',\n\n    # Is basically a synonym.\n    'alt_id',\n}\n_PARENTHOOD_TYPE_GO_RELATIONS = {\n    # Clearly a transitive parenthood relation.\n    'is_a',\n\n}\n_NON_PARENTHOOD_TYPE_GO_RELATIONS = {\n    # -------- Tag types that are clearly not parenthood relations -----------\n    'comment',\n    'created_by',\n    'creation_date',\n    'def',\n    'disjoint_from',\n    'id',\n    'is_obsolete',\n    'name',\n    'namespace',\n    'property_value',\n\n    # -------- Tag types that seem like they'd be parenthood relations -------\n    # Gives a term which may be an appropriate substitute for an obsolete\n    # term, but needs to be looked at carefully by a human expert before the\n    # replacement is done.\n    'consider',\n\n    # Describes subsets of go terms that may be useful for different uses.\n    'subset',\n\n    # Contains references to databases other than GO terms.\n    'synonym',\n\n    # As of August 10 2019, the following are the types of relationships\n    # listed in the canonical GO ontology OBO file:\n    # {'ends_during',\n    #  'happens_during',\n    #  'has_part',\n    #  'negatively_regulates',\n    #  'occurs_in',\n    #  'part_of',\n    #  'positively_regulates',\n    #  'regulates'}\n    # None of these qualifies for propagation to children because of \"is-a\"\n    # type semantics.\n    'relationship',\n\n    # Contains references to databases other than GO terms.\n    'xref',\n\n    # \"intersection_of\" This tag indicates that this term is equivalent to the\n    # intersection of several other terms. Many times, one of the terms\n    # is already in an is_a relationship, and the other intersection term has\n    # a non-parenthood type relation, e.g. has-a. For this reason, we exclude\n    # intersection_of relationships.\n    'intersection_of',\n}\n\n_IS_NON_CANONICAL_ALT_ID_LABEL_OF = 'was_alt_id_of'\n\nTermID = Text\nRelationDescriptor = Text\n\n# GO is an ontology of relations of \"term\" \"related to\" \"other term\".\n# A GoAttribute describes the right-hand-side of this.\nGoAttribute = Tuple[RelationDescriptor, TermID]\n\n\nclass GoTerm(\n    typing.NamedTuple('GoTerm',\n                      (('term_id', Text), ('term_name', Optional[Text]),\n                       ('description', Optional[Text]),\n                       ('related_labels', Set[GoAttribute])))):\n  \"\"\"A Gene Ontology term.\n\n  A Gene Ontology term is a term that's related to other terms via an enumerated\n  set of relation types. Not all relations are \"is-a\" relations.\n\n  [1] Describes the format that go terms are presented in.\n\n  [1] https://owlcollab.github.io/oboformat/doc/GO.format.obo-1_2.html\n\n  Attributes:\n    term_id: id of term. E.g. GO:0000108\n    term_name: value of \"name:\" tag in obo file.\n    description: value of \"def:\" tag in obo file.\n    related_labels: set of [relation, term_id] that also apply to this term.\n      These labels are NOT transitive.\n  \"\"\"\n\n  @classmethod\n  def from_string(cls, s):\n    \"\"\"Parses a Term block of OBO file, keeping identity and parent relations.\n\n     https://owlcollab.github.io/oboformat/doc/GO.format.obo-1_2.html\n\n    Args:\n      s: block of OBO file that starts with [Term]\n\n    Returns:\n      GoTerm\n    \"\"\"\n    lines = s.split('\\n')\n    attributes = [\n        _parse_go_attribute(l) for l in lines if _is_go_attribute_line(l)\n    ]\n    term_ids = [value for tag, value in attributes if tag == 'id']\n    if len(term_ids) != 1:\n      raise ValueError(('Number of term names for term was {} '\n                        '(expected exactly one). Term was {}.').format(\n                            len(term_ids), attributes))\n    term_id = term_ids[0]\n\n    related_labels = set()\n    term_description = None\n    term_name = None\n    for tag, value in attributes:\n      if tag == 'name':\n        term_name = value\n\n      if tag == 'def':\n        term_description = re.findall('\"(.*)\" .*', value)[0]\n\n      if tag in _PARENTHOOD_TYPE_GO_RELATIONS or tag in _IDENTITY_TYPE_GO_RELATIONS:\n        related_labels.add((tag, _get_go_term_from_text(value)))\n      elif tag in _NON_PARENTHOOD_TYPE_GO_RELATIONS:\n        continue\n      else:\n        valid_relations = _PARENTHOOD_TYPE_GO_RELATIONS.union(\n            _NON_PARENTHOOD_TYPE_GO_RELATIONS).union(\n                _IDENTITY_TYPE_GO_RELATIONS)\n        raise ValueError('Term type unknown: was {} and expected one of {}. '\n                         'Full value was {}'.format(tag, valid_relations, s))\n\n    return GoTerm(\n        term_id=term_id,\n        term_name=term_name,\n        description=term_description,\n        related_labels=related_labels)\n\n\ndef _is_go_attribute_line(s):\n  return ': ' in s\n\n\ndef _parse_go_attribute(s):\n  split = s.split(': ')\n  return (split[0], ''.join(split[1:]))\n\n\ndef _get_go_term_from_text(s):\n  matches = GO_TERM_REGEX.findall(s)\n  if len(matches) != 1:\n    raise ValueError(\n        'Expected exactly one match for a GO term in string {}. Found matches {}'\n        .format(s, matches))\n  # First match, looking at the go term, not the (space or end-of-line).\n  return matches[0][0]\n\n\ndef _yield_terms_for_alt_ids(term):\n  \"\"\"Yields GoTerms that point to the root term for all alt_ids in `term`.\n\n  Alt ids do not have their own term in the ontology, so this function is used\n  to create these terms and to canonicalize these alternative ids to their\n  preferred ids.\n\n  Args:\n    term: GoTerm. May or may not have alt_ids in its parents.\n\n  Yields:\n    GoTerm for each alt_id of `term`, whose parent labels are only the\n    label of term.\n  \"\"\"\n  for relation, related_term_id in term.related_labels:\n    if relation == 'alt_id':\n      related_labels = {(_IS_NON_CANONICAL_ALT_ID_LABEL_OF, term.term_id)}\n      non_canonical_term = GoTerm(related_term_id, term.term_name,\n                                  term.description, related_labels)\n      yield non_canonical_term\n\n  yield GoTerm(\n      term_id=term.term_id,\n      term_name=term.term_name,\n      description=term.description,\n      related_labels={l for l in term.related_labels if l[0] != 'alt_id'})\n\n\ndef parse_full_go_file(file_contents = None):\n  \"\"\"Parses contents of OBO file containing the GO ontology.\n\n  Args:\n    file_contents: string. File contents of go file.\n\n  Returns:\n    List of GoTerm.\n  \"\"\"\n\n  if file_contents is None:\n    with tf.io.gfile.Open(GO_METADATA_PATH) as f:\n      file_contents = f.read()\n\n  unparsed_terms = [\n      x for x in file_contents.split('\\n\\n') if x.startswith('[Term]')\n  ]\n  parsed_terms = [GoTerm.from_string(t) for t in unparsed_terms]\n  with_alt_ids_itr = itertools.chain(*(_yield_terms_for_alt_ids(x)\n                                       for x in parsed_terms))\n\n  return list(with_alt_ids_itr)\n\n\ndef go_label_to_description(\n    go_file_contents = None):\n  return {\n      t.term_id: f'{t.term_name}' for t in parse_full_go_file(go_file_contents)\n  }\n\n\ndef _go_term_applicable_labels_should_include_themselves(term):\n  \"\"\"Return whether this go term is canonical (should include itself) or not.\n\n  If a term is an alt_id of something, or is obsolete (has a replaced_by\n  relation), it is not an applicable label.\n\n  Args:\n    term: GoTerm.\n\n  Returns:\n    bool\n  \"\"\"\n  is_replaced_by = any(relation_type == 'replaced_by'\n                       for relation_type, _ in term.related_labels)\n  alt_id = any(relation_type == _IS_NON_CANONICAL_ALT_ID_LABEL_OF\n               for relation_type, _ in term.related_labels)\n  return (not is_replaced_by) and (not alt_id)\n\n\ndef transitive_go_parenthood(go_terms):\n  \"\"\"Converts GoTerms (no transitive relations) to include transitive parents.\n\n  Includes itself as one of its parents, with the exception of alt_ids and\n  replaced_by tags.\n  When a node has alt ids, its only parent is the term for which it is an\n  alt_id. Note that a term may only be an alt_id for one term [1].\n  When a node is obsolete, it has one or more replaced_by tags [2], and this\n  obsolete name will not be included in the transitive right-hand-side.\n\n  [1]\n  https://github.com/geneontology/go-ontology/blob/7be0df46781f2e3a456a3e178def19dcdbb20ecf/src/util/check-obo-for-standard-release.pl#L134-L140\n  [2] https://owlcollab.github.io/oboformat/doc/GO.format.obo-1_4.html\n\n  Args:\n    go_terms: List of GoTerm.\n\n  Returns:\n    Dict of term_id -> transitive set of parent term names.\n  \"\"\"\n  go_term_dict = {\n      t.term_id: frozenset(label for _, label in t.related_labels)\n      for t in go_terms\n  }\n\n  transitive_go_terms = {\n      t.term_id: _transitive_parenthood(t.term_id, go_term_dict)\n      for t in tqdm.tqdm(go_terms, position=0)\n  }\n\n  terms_whose_labels_should_include_themselves = frozenset(\n      term.term_id\n      for term in go_terms\n      if _go_term_applicable_labels_should_include_themselves(term))\n\n  # Add in self to parents when it's not an alt_id or obsolete label. See\n  # docstring for more information.\n  for term_id in terms_whose_labels_should_include_themselves:\n    transitive_go_terms[term_id].add(term_id)\n\n  return transitive_go_terms\n\n\ndef _transitive_parenthood(key,\n                           term_dict):\n  \"\"\"Finds all parents, transitively, of `key` in `term_dict`.\n\n  Does not include itself in the set of parents, regardless of the type of\n  relation. This is left to the caller to decide.\n\n  Args:\n    key: Go Term, e.g. GO:0000001\n    term_dict: Go term to set of parent go terms.\n\n  Returns:\n    Set of transitive parent go terms of `key`.\n  \"\"\"\n  running_total = set()\n  to_examine = set(term_dict[key])  # Make a copy so we can pop from it.\n\n  while len(to_examine) > 0:  # pylint: disable=g-explicit-length-test\n    cur_element = to_examine.pop()\n    running_total.add(cur_element)\n\n    for potential in term_dict[cur_element]:\n      if potential not in running_total:\n        to_examine.add(potential)\n\n  return running_total\n\n\ndef _replace_one_level_up_with_dash_for_ec(s):\n  \"\"\"Finds direct parent of a label.\n\n  Args:\n    s: e.g. 1.2.3.4. Values including 'n' in one of their numbers [1] are\n      treated like every other value. Non leaf nodes (those including a hyphen)\n      are also allowed.\n\n  Returns:\n    E.g. 1.2.-.-\n  \"\"\"\n  if s.count('-') == 0:\n    return re.sub(EC_NUMBER_REGEX, '\\\\1.\\\\2.\\\\3.-', s)\n  if s.count('-') == 1:\n    return re.sub(EC_NUMBER_REGEX, '\\\\1.\\\\2.-.-', s)\n  if s.count('-') == 2:\n    return re.sub(EC_NUMBER_REGEX, '\\\\1.-.-.-', s)\n  if s.count('-') == 3:\n    return re.sub(EC_NUMBER_REGEX, '-.-.-.-', s)\n  raise ValueError('Expected the number of hyphens in string to be between '\n                   '0 and 3 (string was {}). Check that the input matches the '\n                   'regex {}'.format(s, EC_NUMBER_REGEX))\n\n\ndef _all_ec_parents_for_label(label):\n  \"\"\"Computes all parents for an EC label.\n\n  Does not include top level EC (level 0) value -.-.-.- in output.\n\n  Args:\n    label: e.g. 1.2.3.4. Values including 'n' in one of their numbers [1] are\n      treated like every other value. Non leaf nodes (those including a hyphen)\n      are also allowed.\n\n  Returns:\n    For e.g., 1.2.3.-, returns set(1.2.3.-, 1.2.-.-, 1.-.-.-)\n\n    That is, this includes both the input `label`, as well as the root node\n    -.-.-.-.\n  \"\"\"\n  parent = label\n  parents_set = set()\n  while parent != _TOP_LEVEL_EC_CLASS_VALUE:  # Exclude -.-.-.- from output.\n    parents_set.add(parent)  # First loop adds self to parenthood.\n    parent = _replace_one_level_up_with_dash_for_ec(parent)\n\n  return parents_set\n\n\ndef _get_leaf_node_ec_labels_from_file_contents(\n    enzyme_dat_file_contents = None):\n  \"\"\"Parses enzyme.dat file [1] into EC numbers and descriptions.\n\n  [1] ftp://ftp.expasy.org/databases/enzyme/enzyme.dat\n  [2] ftp://ftp.expasy.org/databases/enzyme/enzuser.txt\n\n  Args:\n    enzyme_dat_file_contents: Text of file at [1]. Follows format at [2].\n      Contains only information about leaf nodes of the EC hierarchy (labels\n      with no hyphens; e.g. 1.2.3.4). If None, the current file is parsed from\n      disk.\n\n  Returns:\n    List of string like \"1.2.3.4\", \"oxalic acid oxidase\".\n    Note: ec numbers do not include the string \"EC\".\n  \"\"\"\n  if enzyme_dat_file_contents is None:\n    with tf.io.gfile.Open(EC_LEAF_NODE_METADATA_PATH) as f:\n      enzyme_dat_file_contents = f.read()\n\n  ids_and_descriptions = []\n\n  # Beginning of EC file does not have to do with term parsing; we omit\n  # the \"0th\" ID entry. See [1] in docstring for the format.\n  id_blocks = enzyme_dat_file_contents.split('\\nID')[1:]\n  for block in id_blocks:\n    lines_in_block = block.split('\\n')\n    term_id = re.findall(r'\\s+(.*)', lines_in_block[0])[0]\n\n    desc = ''\n    for line in block.split('\\n'):\n      if line.startswith('DE'):\n        desc += re.findall(r'DE\\s+(.*)', line)[0]\n\n    ids_and_descriptions.append((term_id, desc))\n\n  return ids_and_descriptions\n\n\ndef _get_non_leaf_node_ec_labels_from_file_contents(\n    enzyme_class_file_contents = None\n):\n  \"\"\"Parses enzclass.txt file [1] into EC numbers and descriptions.\n\n  [1] ftp://ftp.expasy.org/databases/enzyme/enzclass.txt\n\n  Args:\n    enzyme_class_file_contents: Text of file at [1]. Contains only information\n      about non-leaf nodes of the EC hierarchy (e.g. 1.2.3.-). If None, the\n      current file is parsed from disk.\n\n  Returns:\n    List of string like \"1.-.-.-\", \"oxidoreductase\".\n    Note: ec numbers do not include the string \"EC\".\n  \"\"\"\n  if enzyme_class_file_contents is None:\n    with tf.io.gfile.Open(EC_NON_LEAF_NODE_METADATA_PATH) as f:\n      enzyme_class_file_contents = f.read()\n\n  non_leaf_node_label_lines = [\n      l.strip()\n      for l in enzyme_class_file_contents.split('\\n')\n      if _NON_LEAF_NODE_LINE_REGEX.match(l)\n  ]\n\n  terms_and_descriptions = []\n  for line in non_leaf_node_label_lines:\n    term_id = ''.join(line[0:9]).replace(' ', '')\n    term_description = re.findall(r'.*.-\\s+(.*)', line)[0]\n    terms_and_descriptions.append((term_id, term_description))\n\n  return terms_and_descriptions\n\n\ndef ec_label_to_description(\n    enzyme_dat_file_contents = None,\n    enzyme_class_file_contents = None):\n  \"\"\"Get dictionary from EC label to description.\n\n  [1] ftp://ftp.expasy.org/databases/enzyme/enzyme.dat\n  [2] ftp://ftp.expasy.org/databases/enzyme/enzuser.txt\n  [3] ftp://ftp.expasy.org/databases/enzyme/enzclass.txt\n\n  Args:\n    enzyme_dat_file_contents: Text of file at [1]. Follows format at [2].\n      Contains only information about leaf nodes of the EC hierarchy (labels\n      with no hyphens; e.g. 1.2.3.4).\n    enzyme_class_file_contents: Text of file at [3]. Contains only information\n      about non-leaf nodes of the EC hierarchy (e.g. 1.2.3.-).\n\n  Returns:\n    Dictionary from EC label to description. Non root-level terms DO NOT have\n    their parents information included, for easier human-readability.\n  \"\"\"\n  leaves = _get_leaf_node_ec_labels_from_file_contents(enzyme_dat_file_contents)\n  non_leaves = _get_non_leaf_node_ec_labels_from_file_contents(\n      enzyme_class_file_contents)\n\n  term_to_description = {}\n  for term, description in non_leaves + leaves:\n    term_to_description['EC:' + term] = description\n\n  return term_to_description\n\n\ndef parse_full_ec_file_to_transitive_parenthood(\n    enzyme_dat_file_contents,\n    enzyme_class_file_contents,\n):\n  \"\"\"Parses enzyme.dat [1] and enzclass.txt [3] into transitive parenthood dict.\n\n  [1] ftp://ftp.expasy.org/databases/enzyme/enzyme.dat\n  [2] ftp://ftp.expasy.org/databases/enzyme/enzuser.txt\n  [3] ftp://ftp.expasy.org/databases/enzyme/enzclass.txt\n\n  Args:\n    enzyme_dat_file_contents: Text of file at [1]. Follows format at [2].\n      Contains only information about leaf nodes of the EC hierarchy (labels\n      with no hyphens; e.g. 1.2.3.4).\n    enzyme_class_file_contents: Text of file at [3]. Contains only information\n      about non-leaf nodes of the EC hierarchy (e.g. 1.2.3.-).\n\n  Returns:\n    Dict of all EC numbers to each of their parents. The values themselves\n    are included in their parent set. Note that [1] only includes leaf nodes;\n    this function includes all members of the tree as keys in the return value.\n\n    Parents include a root node called -.-.-.- that indicates that this example\n    is an enzyme.\n\n    Output keys include the prefix \"EC:\".\n  \"\"\"\n  leaf_node_labels = _get_leaf_node_ec_labels_from_file_contents(\n      enzyme_dat_file_contents)\n  non_leaf_node_labels = _get_non_leaf_node_ec_labels_from_file_contents(\n      enzyme_class_file_contents)\n\n  id_to_transitive_parents = {}\n  for label, _ in tqdm.tqdm(leaf_node_labels + non_leaf_node_labels):\n    parents_of_label = _all_ec_parents_for_label(label)\n\n    # Also add parents themselves as labels in the dictionary.\n    for parent_of_label in parents_of_label:\n      if parent_of_label not in id_to_transitive_parents:\n        rhs = set('EC:' + x for x in _all_ec_parents_for_label(parent_of_label))\n        id_to_transitive_parents['EC:' + parent_of_label] = rhs\n\n  return id_to_transitive_parents\n\n\ndef get_applicable_label_dict(\n    path = APPLICABLE_LABEL_JSON_PATH):\n  return utils.load_gz_json(path)\n\n\ndef reverse_map(\n    applicable_label_dict,\n    label_vocab = None):\n  \"\"\"Flip parenthood dict to map parents to children.\n\n  Args:\n    applicable_label_dict: e.g. output of get_applicable_label_dict.\n    label_vocab: e.g. output of inference_lib.vocab_from_model_base_path\n\n  Returns:\n    collections.defaultdict of k, v where:\n    k: originally the values in applicable_label_dict\n    v: originally the keys in applicable_label_dict.\n    The defaultdict returns an empty frozenset for keys that are not found.\n    This behavior is desirable for lifted clan label normalizers, where\n    keys may not imply themselves.\n  \"\"\"\n  # This is technically the entire transitive closure, so it is safe for DAGs\n  # (e.g. GO labels).\n\n  children = collections.defaultdict(set)\n  for child, parents in applicable_label_dict.items():\n    # Avoid adding children which don't appear in the vocab.\n    if label_vocab is None or child in label_vocab:\n      for parent in parents:\n        children[parent].add(child)\n  children = {k: frozenset(v) for k, v in children.items()}\n  return collections.defaultdict(frozenset, children.items())\n\n\ndef is_implied_by_something_else(\n    current_label,\n    reversed_normalizer,\n    all_labels_for_protein,\n):\n  \"\"\"Returns whether the current label is implied by other labels for protein.\n\n  Args:\n    current_label: label about which we're asking \"is this implied by some other\n      label for this protein?\"\n    reversed_normalizer: output of reverse_map(label_normalizer). Helps this\n      function run fast.\n    all_labels_for_protein: set of all labels given to protein.\n\n  Returns:\n    bool\n  \"\"\"\n  all_labels_for_protein_without_current = all_labels_for_protein - frozenset(\n      [current_label])\n\n  children_of_current_label = reversed_normalizer[current_label]\n\n  # Most labels imply themselves; remove.\n  children_of_current_label = children_of_current_label - frozenset(\n      [current_label])\n\n  return len(  # pylint: disable=g-explicit-length-test\n      children_of_current_label.intersection(\n          all_labels_for_protein_without_current)) > 0\n\n\ndef _filter_label_set_to_most_specific(\n    label_set,\n    reversed_normalizer):\n  \"\"\"Filters label set to most specific.\n\n  Args:\n    label_set: set of all labels given to protein.\n    reversed_normalizer: output of reverse_map(label_normalizer). Helps this\n      function run fast.\n\n  Returns:\n    Filtered set of labels.\n  \"\"\"\n  return frozenset([\n      l for l in label_set\n      if not is_implied_by_something_else(l, reversed_normalizer, label_set)\n  ])\n\n\ndef filter_labels_to_most_specific(\n    df,\n    normalizer,\n    column_to_filter = 'predicted_label',\n):\n  \"\"\"Filter labels given to each protein to the most specific label.\n\n  Useful for labels like GO, where we predict a ton of labels, and we only\n  want to look at the most informative labels.\n\n  Args:\n    df: pd.DataFrame with column `column_to_filter`.\n    normalizer: label normalizer.\n    column_to_filter: name of column in df.\n\n  Returns:\n    pd.DataFrame with column `column_to_filter`.\n  \"\"\"\n  reversed_normalizer = reverse_map(normalizer)\n\n  working_df = df.copy()\n  working_df[column_to_filter] = working_df[column_to_filter].apply(\n      lambda label_set: _filter_label_set_to_most_specific(  # pylint: disable=g-long-lambda\n          label_set, reversed_normalizer))\n  return working_df\n"
  },
  {
    "path": "parenthood_lib_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Tests for module model_performance_analysis.py.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nfrom os import path\nimport textwrap\n\nfrom absl import flags\nfrom absl.testing import absltest\nfrom absl.testing import parameterized\nimport pandas as pd\nimport parenthood_lib\nimport tensorflow.compat.v1 as tf\n\nFLAGS = flags.FLAGS\n\n\nclass ParenthoodLibTest(parameterized.TestCase):\n\n  def setUp(self):\n    self._data_path = path.join(FLAGS.test_srcdir,\n                                './testdata')\n    super().setUp()\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='no relationships',\n          input_text=\"\"\"\n              [Term]\n              id: GO:0000001\"\"\",\n          expected=parenthood_lib.GoTerm(\n              term_id='GO:0000001',\n              term_name=None,\n              description=None,\n              related_labels=set()),\n      ),\n      dict(\n          testcase_name='only is-a relationship',\n          input_text=\"\"\"\n              [Term]\n              id: GO:0000001\n              is_a: GO:0048308 ! organelle inheritance\"\"\",\n          expected=parenthood_lib.GoTerm(\n              term_id='GO:0000001',\n              term_name=None,\n              description=None,\n              related_labels={('is_a', 'GO:0048308')}),\n      ),\n      dict(\n          testcase_name='intersection_of relationship',\n          input_text=\"\"\"\n              [Term]\n              id: GO:0000018\n              name: regulation of DNA recombination\n              intersection_of: regulates GO:0006310 ! DNA recombination\n              \"\"\",\n          expected=parenthood_lib.GoTerm(\n              term_id='GO:0000018',\n              term_name='regulation of DNA recombination',\n              description=None,\n              related_labels=set()),\n      ),\n      dict(\n          testcase_name='replaced_by relationship',\n          input_text=\"\"\"\n              [Term]\n              id: GO:0000108\n              name: obsolete repairosome\n              comment: This term was made obsolete because 'repairosome' has fallen out of use in the literature, and the large complex described in the definition has not been confirmed to exist. The term has also confused annotators.\n              synonym: \"repairosome\" EXACT []\n              is_obsolete: true\n              replaced_by: GO:0000109\"\"\",\n          expected=parenthood_lib.GoTerm(\n              term_id='GO:0000108',\n              term_name='obsolete repairosome',\n              description=None,\n              related_labels={('replaced_by', 'GO:0000109')}),\n      ),\n      dict(\n          testcase_name='two is-a relationships',\n          input_text=\"\"\"\n              [Term]\n              id: GO:0000001\n              is_a: GO:0048308 ! organelle inheritance\n              is_a: GO:0048311 ! mitochondrion distribution\"\"\",\n          expected=parenthood_lib.GoTerm(\n              term_id='GO:0000001',\n              term_name=None,\n              description=None,\n              related_labels={('is_a', 'GO:0048308'),\n                              ('is_a', 'GO:0048311')}),\n      ),\n      dict(\n          testcase_name='no parent relationships, lots of others',\n          input_text=\"\"\"\n              [Term]\n              id: GO:0000001\n              name: mitochondrion inheritance\n              namespace: biological_process\n              def: \"The distribution of mitochondria, including the mitochondrial genome, into daughter cells after mitosis or meiosis, mediated by interactions between mitochondria and the cytoskeleton.\" [GOC:mcc, PMID:10873824, PMID:11389764]\n              synonym: \"mitochondrial inheritance\" EXACT []\"\"\",\n          expected=parenthood_lib.GoTerm(\n              term_id='GO:0000001',\n              term_name='mitochondrion inheritance',\n              description='The distribution of mitochondria, including the mitochondrial genome, into daughter cells after mitosis or meiosis, mediated by interactions between mitochondria and the cytoskeleton.',\n              related_labels=set()),\n      ),\n  )\n  def test_go_term_from_string(self, input_text, expected):\n    input_text = textwrap.dedent(input_text)\n    actual = parenthood_lib.GoTerm.from_string(input_text)\n    self.assertEqual(actual, expected)\n\n  def test_go_term_parsing_integration_test(self):\n    gene_ontology_reference_full_file_path = path.join(self._data_path,\n                                                       'go.obo')\n    with tf.io.gfile.GFile(gene_ontology_reference_full_file_path, 'r') as f:\n      full_go_contents = f.read()\n    actual = parenthood_lib.parse_full_go_file(full_go_contents)\n\n    expected_number_go_terms = 49933\n    self.assertLen(actual, expected_number_go_terms)\n\n    # Assert there are no duplicate keys in the labels.\n    self.assertLen(actual, len(set(x.term_id for x in actual)))\n\n    is_obsolete = (\n        lambda term: any(l[0] == 'replaced_by' for l in term.related_labels))\n    actual_non_obsolete_go_terms = [t for t in actual if not is_obsolete(t)]\n    self.assertLess(len(actual_non_obsolete_go_terms), len(actual))\n\n  def test_transitive_go_parenthood(self):\n    child1 = parenthood_lib.GoTerm(\n        term_id='child1',\n        term_name=None,\n        description=None,\n        related_labels={('is_a', 'parent1'), ('is_a', 'parent2')})\n    parent1 = parenthood_lib.GoTerm(\n        term_id='parent1',\n        term_name=None,\n        description=None,\n        related_labels={('is_a', 'grandparent')})\n    parent2 = parenthood_lib.GoTerm(\n        term_id='parent2',\n        term_name=None,\n        description=None,\n        related_labels={('is_a', 'grandparent')})\n    grandparent = parenthood_lib.GoTerm(\n        term_id='grandparent',\n        term_name=None,\n        description=None,\n        related_labels=set())\n\n    child2 = parenthood_lib.GoTerm(\n        term_id='child2',\n        term_name=None,\n        description=None,\n        related_labels=set())\n    input_parenthood_data = [child1, child2, parent1, parent2, grandparent]\n\n    expected = {\n        'child1': {'child1', 'parent1', 'parent2', 'grandparent'},\n        'child2': {'child2'},\n        'parent1': {'parent1', 'grandparent'},\n        'parent2': {'parent2', 'grandparent'},\n        'grandparent': {'grandparent'}\n    }\n\n    actual = parenthood_lib.transitive_go_parenthood(input_parenthood_data)\n\n    self.assertDictEqual(actual, expected)\n\n  def test_transitive_go_parenthood_with_cycle(self):\n    loop1 = parenthood_lib.GoTerm(\n        term_id='loop1',\n        term_name=None,\n        description=None,\n        related_labels={('is_a', 'loop2')})\n\n    loop2 = parenthood_lib.GoTerm(\n        term_id='loop2',\n        term_name=None,\n        description=None,\n        related_labels={('is_a', 'loop1')})\n\n    input_parenthood_data = [loop1, loop2]\n\n    expected = {\n        'loop1': {'loop1', 'loop2'},\n        'loop2': {'loop2', 'loop1'},\n    }\n\n    actual = parenthood_lib.transitive_go_parenthood(input_parenthood_data)\n\n    self.assertDictEqual(actual, expected)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='no hyphens, all single digits',\n          label='1.2.3.4',\n          expected={'1.2.3.4', '1.2.3.-', '1.2.-.-', '1.-.-.-'},\n      ),\n      dict(\n          testcase_name='one hyphen, all single digits',\n          label='1.2.3.-',\n          expected={'1.2.3.-', '1.2.-.-', '1.-.-.-'},\n      ),\n      dict(\n          testcase_name='two hyphens, all single digits',\n          label='1.2.-.-',\n          expected={'1.2.-.-', '1.-.-.-'},\n      ),\n      dict(\n          testcase_name='three hyphens, all single digits',\n          label='1.-.-.-',\n          expected={'1.-.-.-'},\n      ),\n      dict(\n          testcase_name='no hyphens, multi digit',\n          label='1.22.3.4',\n          expected={'1.22.3.4', '1.22.3.-', '1.22.-.-', '1.-.-.-'},\n      ),\n      dict(\n          testcase_name='one hyphen, multi digit',\n          label='1.22.3.-',\n          expected={'1.22.3.-', '1.22.-.-', '1.-.-.-'},\n      ),\n      dict(\n          testcase_name='two hyphens, multi digit',\n          label='1.22.-.-',\n          expected={'1.22.-.-', '1.-.-.-'},\n      ),\n      dict(\n          testcase_name='no hyphens, contains n, single digit',\n          label='1.2.3.n4',\n          expected={'1.2.3.n4', '1.2.3.-', '1.2.-.-', '1.-.-.-'},\n      ),\n      dict(\n          testcase_name='one hyphen, contains n, multi digit',\n          label='1.22.n3.-',\n          expected={'1.22.n3.-', '1.22.-.-', '1.-.-.-'},\n      ),\n      dict(\n          testcase_name='two hyphens, contains n, multi digit',\n          label='1.n22.-.-',\n          expected={'1.n22.-.-', '1.-.-.-'},\n      ),\n  )\n  def test_all_ec_parents_for_term(self, label, expected):\n    actual = parenthood_lib._all_ec_parents_for_label(label)\n    self.assertEqual(actual, expected)\n\n  def test_parse_full_ec_file_to_transitive_parenthood_integration_test(self):\n    enzyme_commission_reference_dat_full_file_path = path.join(\n        self._data_path, 'enzyme.dat')\n    enzyme_commission_reference_class_full_file_path = path.join(\n        self._data_path, 'enzclass.txt')\n\n    # Load input data.\n    with tf.io.gfile.GFile(enzyme_commission_reference_dat_full_file_path) as f:\n      whole_ec_dat_contents = f.read()\n\n    with tf.io.gfile.GFile(\n        enzyme_commission_reference_class_full_file_path) as f:\n      whole_ec_class_contents = f.read()\n\n    # Compute actual output.\n    actual = parenthood_lib.parse_full_ec_file_to_transitive_parenthood(\n        whole_ec_dat_contents, whole_ec_class_contents)\n\n    expected_to_contain = {  # Chosen somewhat arbitrarily.\n        'EC:1.1.1.1',\n        'EC:1.2.3.4',\n        'EC:7.1.1.1',\n        'EC:2.7.11.n2',\n        'EC:1.-.-.-',\n\n        # This label has no direct children in enzyme.dat, so we make sure it's\n        # added in by the enzclass.txt file.\n        'EC:3.12.-.-',\n\n        # This entry was previously missing due to a bug, and so it's been added\n        # here as a regression test.\n        'EC:1.10.98.-',\n    }\n    self.assertContainsSubset(expected_to_contain, actual.keys())\n\n    expected_length = 8163\n    self.assertLen(actual, expected_length)\n\n    expected_particular_parents = {\n        'EC:1.2.3.4',\n        'EC:1.2.3.-',\n        'EC:1.2.-.-',\n        'EC:1.-.-.-',\n    }\n    self.assertEqual(actual['EC:1.2.3.4'], expected_particular_parents)\n\n  def test_ec_label_to_description(self):\n    enzyme_commission_reference_dat_full_file_path = path.join(\n        self._data_path, 'enzyme.dat')\n    enzyme_commission_reference_class_full_file_path = path.join(\n        self._data_path, 'enzclass.txt')\n\n    # Load input data.\n    with tf.io.gfile.GFile(enzyme_commission_reference_dat_full_file_path) as f:\n      whole_ec_dat_contents = f.read()\n\n    with tf.io.gfile.GFile(\n        enzyme_commission_reference_class_full_file_path) as f:\n      whole_ec_class_contents = f.read()\n\n    actual = parenthood_lib.ec_label_to_description(whole_ec_dat_contents,\n                                                    whole_ec_class_contents)\n    self.assertIn('EC:1.-.-.-', actual)\n    self.assertEqual(actual['EC:1.-.-.-'], 'Oxidoreductases.')\n\n    self.assertIn('EC:1.2.3.4', actual)\n    self.assertEqual(actual['EC:1.2.3.4'], 'Oxalate oxidase.')\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='one alt_id',\n          input_go_term=parenthood_lib.GoTerm(\n              term_id='term',\n              term_name=None,\n              description=None,\n              related_labels={('alt_id', 'alt')}),\n          expected=[\n              parenthood_lib.GoTerm(\n                  term_id='alt',\n                  term_name=None,\n                  description=None,\n                  related_labels={\n                      (parenthood_lib._IS_NON_CANONICAL_ALT_ID_LABEL_OF, 'term')\n                  }),\n              parenthood_lib.GoTerm(\n                  term_id='term',\n                  term_name=None,\n                  description=None,\n                  related_labels=set()),\n          ]),\n      dict(\n          testcase_name='one replaced_by',\n          input_go_term=parenthood_lib.GoTerm(\n              term_id='go1',\n              term_name='term name',\n              description='Term description.',\n              related_labels={('replaced_by', 'go2')}),\n          expected=[\n              # Should be a no-op.\n              parenthood_lib.GoTerm(\n                  term_id='go1',\n                  term_name='term name',\n                  description='Term description.',\n                  related_labels={('replaced_by', 'go2')}),\n          ]),\n      dict(\n          testcase_name='two alt_id',\n          input_go_term=parenthood_lib.GoTerm(\n              term_id='go1',\n              term_name='Term name',\n              description='Term description.',\n              related_labels={('alt_id', 'go2'), ('alt_id', 'go3')}),\n          expected=[\n              parenthood_lib.GoTerm(\n                  term_id='go2',\n                  term_name='Term name',\n                  description='Term description.',\n                  related_labels={\n                      (parenthood_lib._IS_NON_CANONICAL_ALT_ID_LABEL_OF, 'go1')\n                  }),\n              parenthood_lib.GoTerm(\n                  term_id='go3',\n                  term_name='Term name',\n                  description='Term description.',\n                  related_labels={\n                      (parenthood_lib._IS_NON_CANONICAL_ALT_ID_LABEL_OF, 'go1')\n                  }),\n              parenthood_lib.GoTerm(\n                  term_id='go1',\n                  term_name='Term name',\n                  description='Term description.',\n                  related_labels=set()),\n          ]),\n      dict(\n          testcase_name='one replaced_by with other non-identity relation',\n          input_go_term=parenthood_lib.GoTerm(\n              term_id='child',\n              term_name=None,\n              description=None,\n              related_labels={('replaced_by', 'replacement'),\n                              ('is_a', 'parent')}),\n          expected=[\n              # Should be a no-op.\n              parenthood_lib.GoTerm(\n                  term_id='child',\n                  term_name=None,\n                  description=None,\n                  related_labels={('is_a', 'parent'),\n                                  ('replaced_by', 'replacement')}),\n          ]),\n      dict(\n          testcase_name='one alt_id with other non-identity relation',\n          input_go_term=parenthood_lib.GoTerm(\n              term_id='child',\n              term_name=None,\n              description=None,\n              related_labels={('alt_id', 'alt'), ('is_a', 'parent')}),\n          expected=[\n              parenthood_lib.GoTerm(\n                  term_id='alt',\n                  term_name=None,\n                  description=None,\n                  related_labels={\n                      (parenthood_lib._IS_NON_CANONICAL_ALT_ID_LABEL_OF,\n                       'child')\n                  }),\n              parenthood_lib.GoTerm(\n                  term_id='child',\n                  term_name=None,\n                  description=None,\n                  related_labels={('is_a', 'parent')}),\n          ]),\n  )\n  def test_yield_terms_for_alt_ids(self, input_go_term, expected):\n    actual = list(parenthood_lib._yield_terms_for_alt_ids(input_go_term))\n\n    self.assertCountEqual(actual, expected)\n\n  def test_reverse_map_filters_items(self):\n    test_parents = {'b': ['a', 'b'], 'a': ['a'], 'c': ['c'], 'd': ['a', 'b']}\n    test_vocab = ['a', 'b', 'c']\n    rev = parenthood_lib.reverse_map(test_parents, label_vocab=test_vocab)\n    rev_map = {'a': {'a', 'b'}, 'b': {'b'}, 'c': {'c'}}\n    self.assertEqual(rev, rev_map)\n\n  def test_is_implied_by_something_else_positive_case(self):\n    input_label = 'CL0192'\n    input_reversed_normalizer = {\n        'CL0192': {'PF00001', 'PF00002'},\n        'PF00002': {'PF00002'},\n    }\n    input_other_labels_for_protein = {'CL0192', 'PF00002'}\n    actual = parenthood_lib.is_implied_by_something_else(\n        input_label, input_reversed_normalizer, input_other_labels_for_protein)\n    expected = True\n    self.assertEqual(actual, expected)\n\n  def test_is_implied_by_something_else_negative_case(self):\n    input_label = 'CL0192'\n    input_reversed_normalizer = {\n        'CL0192': {'PF00001', 'PF00002'},\n    }\n    input_other_labels_for_protein = {'CL0192'}\n    actual = parenthood_lib.is_implied_by_something_else(\n        input_label, input_reversed_normalizer, input_other_labels_for_protein)\n    expected = False\n    self.assertEqual(actual, expected)\n\n  def test_filter_labels_to_most_specific(self):\n    input_df = pd.DataFrame({\n        'predicted_label': [\n            frozenset(['CL0192', 'PF00002']),\n            frozenset(['CL0192'])\n        ]\n    })\n    input_normalizer = {\n        'PF00002': frozenset(['PF00002', 'CL0192']),\n        'CL0192': frozenset(['CL0192'])\n    }\n\n    actual = parenthood_lib.filter_labels_to_most_specific(\n        input_df, input_normalizer)\n    actual_predicted_labels = actual.predicted_label.values.tolist()\n\n    expected = [frozenset(['PF00002']), frozenset(['CL0192'])]\n\n    self.assertListEqual(actual_predicted_labels, expected)\n\n\nif __name__ == '__main__':\n  absltest.main()\n"
  },
  {
    "path": "protein_dataset.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Construct a tf.data.Dataset of protein training data.\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nimport os\n\n\nimport utils\nimport tensorflow.compat.v1 as tf\nfrom tensorflow.contrib import data as contrib_data\nfrom tensorflow.contrib import lookup as contrib_lookup\n\n# TODO(theosanderson): finalise this root path.\nDATA_ROOT_DIR = 'data/'\nTEST_FOLD = 'test'\nDEV_FOLD = 'dev'\nTRAIN_FOLD = 'train'\nALL_FOLD = '*'\nDATA_FOLD_VALUES = [TRAIN_FOLD, DEV_FOLD, TEST_FOLD, ALL_FOLD]\n\nSEQUENCE_KEY = 'sequence'\nSEQUENCE_LENGTH_KEY = 'sequence_length'\nSEQUENCE_ID_KEY = 'id'\nLABEL_KEY = 'label'\n\nDATASET_FEATURES = {\n    SEQUENCE_KEY:\n        tf.FixedLenFeature([], tf.string),\n    LABEL_KEY:\n        tf.FixedLenSequenceFeature(\n            [],\n            dtype=tf.string,\n            # Some sequences have no labels.\n            allow_missing=True),\n    SEQUENCE_ID_KEY:\n        tf.FixedLenFeature([], tf.string)\n}\nMAX_SEQUENCE_LENGTH = 12000\nBUCKET_BOUNDARIES = [1500, 3000, 6000]\n\n\ndef _map_sequence_to_ints(example, amino_acid_table):\n  \"\"\"Take amino acids in features as strings and replaces them with ints.\n\n  Args:\n    example: dictionary from string to tensor, containing key\n      SEQUENCE_KEY.\n    amino_acid_table: tf.contrib.lookup.index_table_from_tensor.\n\n  Returns:\n    dict from string to tensor, where the value at SEQUENCE_KEY is\n    converted from a np.array of string labels to a np.array of ints.\n  \"\"\"\n  seq = example[SEQUENCE_KEY]\n  seq_char_by_char_sparse = tf.string_split([seq], delimiter='')\n  seq_char_by_char = seq_char_by_char_sparse.values\n  seq_indices = amino_acid_table.lookup(seq_char_by_char)\n  example[SEQUENCE_KEY] = seq_indices\n  return example\n\n\ndef _map_labels_to_ints(example, protein_class_table):\n  \"\"\"Take labels in features as strings and replaces them with ints.\n\n  Args:\n    example: dictionary from string to tensor, containing key LABEL_KEY.\n    protein_class_table: tf.contrib.lookup.index_table_from_tensor.\n\n  Returns:\n    dict from string to tensor, where the value at LABEL_KEY is converted\n    from a np.array of string labels to a np.array of ints.\n  \"\"\"\n  label_indices = protein_class_table.lookup(example[LABEL_KEY])\n  # In a multilabel task there are multiple labels in the label field.\n  # Any labels not in the vocab are mapped to -1 and we then remove them\n  # with the below:\n  label_mask = tf.not_equal(label_indices, -1)\n  label_indices = tf.boolean_mask(label_indices, label_mask)\n  example[LABEL_KEY] = label_indices\n  return example\n\n\ndef _to_one_hot_sequence(indexed_sequence_tensors):\n  \"\"\"Convert ints in sequence to one-hots.\n\n  Turns indices (in the sequence) into one-hot vectors.\n\n  Args:\n    indexed_sequence_tensors: dict containing SEQUENCE_KEY field.\n        For example: {\n          'sequence': '[1, 3, 3, 4, 12, 6]'  # This is the amino acid sequence.\n            ... }\n\n  Returns:\n    indexed_sequence_tensors with the same overall structure as the input,\n    except that SEQUENCE_KEY field has been transformed to a one-hot\n    encoding.\n    For example:\n    {\n      # The first index in sequence is from letter C, which\n      # is at index 1 in the amino acid vocabulary, and the second is from\n      # E, which is at index 4.\n      SEQUENCE_KEY: [[0, 1, 0, ...], [0, 0, 0, 1, 0, ...]...]\n      ...\n    }\n  \"\"\"\n  indexed_sequence_tensors[SEQUENCE_KEY] = tf.one_hot(\n      indices=indexed_sequence_tensors[SEQUENCE_KEY],\n      depth=len(utils.AMINO_ACID_VOCABULARY))\n  return indexed_sequence_tensors\n\n\ndef _add_sequence_length(example):\n  example[SEQUENCE_LENGTH_KEY] = tf.strings.length(example[SEQUENCE_KEY])\n  return example\n\n\ndef _is_sequence_short_enough_for_training(example):\n  return tf.greater(\n      tf.constant(MAX_SEQUENCE_LENGTH), example[SEQUENCE_LENGTH_KEY])\n\n\ndef non_batched_dataset(train_dev_or_test,\n                        label_vocab,\n                        data_root_dir=DATA_ROOT_DIR):\n  \"\"\"Constructs a dataset of examples.\n\n  Args:\n    train_dev_or_test: one of _DEV_FOLD_VALUES. The source examples to load into\n      a dataset.\n    label_vocab: list of string.\n    data_root_dir: path to tfrecord examples.\n\n  Returns:\n    tf.data.Dataset, where each example is of form\n    {\n        SEQUENCE_KEY: one-hot of amino acid characters\n        SEQUENCE_LENGTH_KEY: length of sequence\n        SEQUENCE_ID_KEY: unique identifier for protein\n        LABEL_KEY: rank-1 tensor of integer labels from label_vocab,\n    }\n  \"\"\"\n  if train_dev_or_test not in DATA_FOLD_VALUES:\n    raise ValueError(('Only train, dev, test and * are supported datasets.'\n                      ' Received {}.').format(train_dev_or_test))\n  dataset_files = [\n      os.path.join(data_root_dir, f)\n      for f in tf.gfile.ListDirectory(data_root_dir)\n      if train_dev_or_test in f and \".tfrecord\" in f\n  ]\n\n  tfrecord_dataset = tf.data.TFRecordDataset(dataset_files)\n\n  dataset = tfrecord_dataset.map(lambda record: tf.io.parse_single_example(  # pylint: disable=g-long-lambda\n      record, DATASET_FEATURES))\n  dataset = dataset.map(_add_sequence_length)\n  dataset = dataset.filter(_is_sequence_short_enough_for_training)\n\n  amino_acid_table = contrib_lookup.index_table_from_tensor(\n      utils.AMINO_ACID_VOCABULARY,\n      default_value=len(utils.AMINO_ACID_VOCABULARY))\n  protein_class_table = contrib_lookup.index_table_from_tensor(\n      mapping=label_vocab)\n\n  dataset = dataset.map(lambda ex: _map_sequence_to_ints(ex, amino_acid_table))\n  dataset = dataset.map(lambda ex: _map_labels_to_ints(ex, protein_class_table))\n  dataset = dataset.map(_to_one_hot_sequence)\n\n  if train_dev_or_test == TRAIN_FOLD:\n    dataset = dataset.repeat()\n\n  dataset = dataset.prefetch(tf.data.experimental.AUTOTUNE)\n\n  return dataset\n\n\ndef batched_dataset(input_dataset, batch_size, bucket_boundaries):\n  \"\"\"Batches and pads input_dataset.\n\n  Args:\n    input_dataset: tf.data.Dataset. output of _non_padded_dataset.\n    batch_size: int.\n    bucket_boundaries: sequence lengths at boundaries of buckets.\n\n  Returns:\n    tf.data.Dataset. Because sequences are non-uniform length, and because\n    the number of labels for a sequence is variable, the sequence and label\n    features are padded with 0 and -1, respectively. The batch_size varies with\n    sequenence length, bucketed by bucket_boundaries.\n  \"\"\"\n\n  def _get_element_length(features):\n    length = tf.shape(features[SEQUENCE_KEY])[0]\n    return length\n\n  padding_values = {\n      SEQUENCE_KEY: tf.constant(0, tf.float32),\n      LABEL_KEY: tf.constant(-1, tf.int64),\n\n      # Padding value is unused since this is always provided upstream and is\n      # of deterministic shape.\n      SEQUENCE_LENGTH_KEY: tf.constant(0, tf.int32),\n\n      # Padding value is unused since this is always provided upstream and is\n      # of deterministic shape.\n      SEQUENCE_ID_KEY: ''\n  }\n\n  bucket_batch_sizes = utils.calculate_bucket_batch_sizes(\n      bucket_boundaries, MAX_SEQUENCE_LENGTH, batch_size)\n  dataset = input_dataset.apply(\n      contrib_data.bucket_by_sequence_length(\n          element_length_func=_get_element_length,\n          bucket_batch_sizes=bucket_batch_sizes,\n          bucket_boundaries=bucket_boundaries,\n          pad_to_bucket_boundary=False,\n          padding_values=padding_values))\n  return dataset\n\n\ndef make_input_fn(batch_size, data_file_pattern, train_dev_or_test,\n                  label_vocab):\n  \"\"\"Makes an input_fn, according to the `Estimator` `input_fn` interface.\n\n  Args:\n    batch_size: int.\n    data_file_pattern: A file path pattern that has your examples.\n    train_dev_or_test: one of _DEV_FOLD_VALUES. The source examples to load into\n      a dataset.\n    label_vocab: list of string.\n\n  Returns:\n    input_fn to be used by Estimator.\n  \"\"\"\n\n  def _input_fn():\n    \"\"\"`Estimator`-compatible input_fn.\"\"\"\n\n    dataset = non_batched_dataset(\n        train_dev_or_test=train_dev_or_test,\n        data_root_dir=data_file_pattern,\n        label_vocab=label_vocab)\n    dataset = batched_dataset(\n        dataset, batch_size, bucket_boundaries=BUCKET_BOUNDARIES)\n    itr = dataset.make_initializable_iterator()\n\n    data_ops = itr.get_next()\n    features = {\n        SEQUENCE_KEY: data_ops[SEQUENCE_KEY],\n        SEQUENCE_LENGTH_KEY: data_ops[SEQUENCE_LENGTH_KEY],\n    }\n    labels = {\n        LABEL_KEY: data_ops[LABEL_KEY],\n        SEQUENCE_ID_KEY: data_ops[SEQUENCE_ID_KEY]\n    }\n\n    tf.add_to_collection(tf.GraphKeys.TABLE_INITIALIZERS, itr.initializer)\n\n    return features, labels\n\n  return _input_fn\n\n\ndef yield_examples(tfrecord_path):\n  \"\"\"Reads TfRecords of protein TfExamples and yields examples as dicts.\n\n  Args:\n    tfrecord_path: path to TfRecord files of TfExamples.\n\n  Yields:\n  example dict with keys of SEQUENCE_ID_KEY, SEQUENCE_KEY and LABEL_KEY,\n    containing those values (string, string, list of strings).\n  \"\"\"\n  dataset = tf.data.TFRecordDataset(tf.gfile.Glob(tfrecord_path))\n  oneshot = dataset.make_one_shot_iterator()\n  iterator_get_record = oneshot.get_next()\n  with tf.Session() as sess:\n    while True:\n      try:\n        example_string = sess.run(iterator_get_record)\n      except tf.errors.OutOfRangeError:\n        return\n\n      example_proto = tf.train.Example.FromString(example_string)\n\n      example = {LABEL_KEY: []}\n      example[SEQUENCE_ID_KEY] = example_proto.features.feature.get(\n          SEQUENCE_ID_KEY).bytes_list.value[0]\n      example[SEQUENCE_KEY] = example_proto.features.feature.get(\n          SEQUENCE_KEY).bytes_list.value[0]\n      try:\n        example[LABEL_KEY] = example_proto.features.feature.get(\n            LABEL_KEY).bytes_list.value\n      except AttributeError:\n        continue\n      yield example\n"
  },
  {
    "path": "protein_dataset_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nimport os\n\nfrom absl import flags\nfrom absl.testing import parameterized\nimport numpy as np\nimport protein_dataset\nimport utils\nimport tensorflow.compat.v1 as tf\n\nFLAGS = flags.FLAGS\n\n\ndef _numpy_one_hot(x, depth):\n  \"\"\"Convert numpy array of indexes into a full one-hot.\n\n  Args:\n    x: np.array.\n    depth: int. maximum index in array (depth of one-hot output).\n\n  Returns:\n    np.array.\n  \"\"\"\n  return np.eye(depth)[x]\n\n\ndef _dataset_iterator_to_list(itr, session):\n  \"\"\"Convert tf.data.Dataset iterator to a python list.\n\n  Args:\n    itr: tf.data.Dataset iterator.\n    session: tf.Session.\n\n  Returns:\n    list.\n  \"\"\"\n  actual_examples = []\n  while True:\n    try:\n      actual_examples.append(session.run(itr.get_next()))\n    except tf.errors.OutOfRangeError:\n      break\n  return actual_examples\n\n\nclass ProteinDatasetTest(parameterized.TestCase):\n\n  def test_non_padded_dataset(self):\n    # Set up test data.\n    test_data_directory = os.path.join(\n        FLAGS.test_srcdir,\n        './testdata'\n    )\n\n    label_vocab_array = [\n        'EMBL:AE017224', 'RefSeq:WP_002966386.1', 'ProteinModelPortal:P0CB34',\n        'SMR:P0CB34', 'EnsemblBacteria:AAX75635', 'GeneID:29595679',\n        'KEGG:bmb:BruAb2_0191', 'HOGENOM:HOG000133897', 'KO:K04078',\n        'OMA:PGRIDDN', 'Proteomes:UP000000540', 'GO:GO:0005737',\n        'GO:GO:0005524', 'GO:GO:0006457', 'CDD:cd00320', 'Gene3D:2.30.33.40',\n        'HAMAP:MF_00580', 'InterPro:IPR020818', 'InterPro:IPR037124',\n        'InterPro:IPR018369', 'InterPro:IPR011032', 'PANTHER:PTHR10772',\n        'Pfam:PF00166', 'PRINTS:PR00297', 'SMART:SM00883', 'SUPFAM:SSF50129',\n        'PROSITE:PS00681'\n    ]\n    with tf.Graph().as_default():\n      sess = tf.Session()\n      dataset = protein_dataset.non_batched_dataset(\n          # Dev fold instead of train fold because the train fold is repeated.\n          train_dev_or_test=protein_dataset.DEV_FOLD,\n          label_vocab=label_vocab_array,\n          data_root_dir=test_data_directory)\n      example_itr = dataset.make_initializable_iterator()\n\n      sess.run(tf.tables_initializer())\n      sess.run(tf.global_variables_initializer())\n      sess.run(example_itr.initializer)\n\n    # Compute actual output\n    actual_examples = _dataset_iterator_to_list(example_itr, sess)\n\n    expected_length = 4\n\n    # Compute expected values\n    expected_sequence = 'MADIKFRPLHDRVVVRRVESEAKTAGGIIIPDTAKEKPQEGEVVAAGAGARDEAGKLVPLDVKAGDRVLFGKWSGTEVKIGGEDLLIMKESDILGIVG'\n    expected_sequence_indexes = [\n        utils.AMINO_ACID_VOCABULARY.index(x) for x in expected_sequence\n    ]\n    expected_sequence_one_hot = _numpy_one_hot(\n        expected_sequence_indexes, depth=len(utils.AMINO_ACID_VOCABULARY))\n    # Because the label vocab is exactly the labels in the first example, we\n    # just get range(len(label_vocab_array))\n    expected_label_indexes = range(len(label_vocab_array))\n    expected_id = b'P0CB34'\n\n    # Assert values correct\n    self.assertLen(actual_examples, expected_length)\n    np.testing.assert_equal(actual_examples[0][protein_dataset.SEQUENCE_KEY],\n                            expected_sequence_one_hot)\n    np.testing.assert_equal(\n        actual_examples[0][protein_dataset.SEQUENCE_LENGTH_KEY],\n        len(expected_sequence))\n    np.testing.assert_equal(actual_examples[0][protein_dataset.LABEL_KEY],\n                            expected_label_indexes)\n    np.testing.assert_equal(actual_examples[0][protein_dataset.SEQUENCE_ID_KEY],\n                            expected_id)\n\n  def test_padded_dataset(self):\n    # Set up test data.\n    test_data_directory = os.path.join(\n        FLAGS.test_srcdir,\n        './testdata'\n    )\n\n    label_vocab_array = ['EMBL:AE017224']\n\n    batch_size = 3\n\n    with tf.Graph().as_default():\n      sess = tf.Session()\n      non_padded_dataset = protein_dataset.non_batched_dataset(\n          # Dev fold instead of train fold because the train fold is repeated.\n          train_dev_or_test=protein_dataset.DEV_FOLD,\n          label_vocab=label_vocab_array,\n          data_root_dir=test_data_directory)\n      batched_dataset = protein_dataset.batched_dataset(\n          non_padded_dataset, batch_size=batch_size, bucket_boundaries=[11000])\n      batch_itr = batched_dataset.make_initializable_iterator()\n\n      sess.run(tf.tables_initializer())\n      sess.run(tf.global_variables_initializer())\n      sess.run(batch_itr.initializer)\n\n    # Compute actual output\n    actual_examples = _dataset_iterator_to_list(batch_itr, sess)\n\n    # Examine correctness of first element.\n    actual_sequence_batch_shape = actual_examples[0][\n        protein_dataset.SEQUENCE_KEY].shape\n    expected_longest_sequence_len_in_first_batch = 98\n    expected_first_batch_sequence_shape = (\n        batch_size, expected_longest_sequence_len_in_first_batch,\n        len(utils.AMINO_ACID_VOCABULARY))\n    self.assertEqual(actual_sequence_batch_shape,\n                     expected_first_batch_sequence_shape)\n\n    actual_label_batch_shape = actual_examples[0][\n        protein_dataset.LABEL_KEY].shape\n    # Because the label vocab contains the labels in the first example, we\n    # get len(label_vocab_array) as the number of labels.\n    expected_batch_label_shape = (batch_size, len(label_vocab_array))\n    self.assertEqual(actual_label_batch_shape, expected_batch_label_shape)\n\n  def test_yield_examples(self):\n    path = os.path.join(\n        FLAGS.test_srcdir,\n        './testdata/train*.tfrecord'\n    )\n    actual_examples = list(protein_dataset.yield_examples(path))\n    expected_length = 4\n    self.assertLen(actual_examples, expected_length)\n    self.assertEqual(\n        set(actual_examples[0].keys()),\n        set([\n            protein_dataset.SEQUENCE_KEY, protein_dataset.SEQUENCE_ID_KEY,\n            protein_dataset.LABEL_KEY\n        ]))\n\n\nif __name__ == '__main__':\n  tf.test.main()\n"
  },
  {
    "path": "protein_model.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Construct model and evaluation metrics for training.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nimport math\n\nimport protein_dataset\nimport tensorflow.compat.v1 as tf\nfrom tensorflow.contrib import layers as contrib_layers\nfrom tensorflow.contrib.layers.python.layers import optimizers as optimizers_lib\n\n\n\n_THRESHOLDS_FOR_RECALL_METRIC = [2, 3, 5, 10]\nREPRESENTATION_KEY = 'representation'\nLOGITS_KEY = 'logits'\n\n\ndef _f1_score(labels, predictions):\n  \"\"\"Computes F1 score, i.e. the harmonic mean of precision and recall.\"\"\"\n  precision = tf.metrics.precision(labels, predictions)\n  recall = tf.metrics.recall(labels, predictions)\n\n  return (2 * precision[0] * recall[0] / (precision[0] + recall[0] + 1e-5),\n          tf.group(precision[1], recall[1]))\n\n\ndef _mean_examplewise_f1_score(labels, predictions):\n  \"\"\"Calculates mean example-wise F1 score (micro-F1).\n\n  Args:\n    labels: 2D tensor of one hots.\n    predictions: 2D tensor of one hots.\n\n  Returns:\n    metric, update ops from tf.metrics.mean\n  \"\"\"\n  labels = tf.cast(labels, tf.float32)\n  predictions = tf.cast(predictions, tf.float32)\n\n  assert len(labels.shape) == 2\n  assert len(predictions.shape) == 2\n\n  true_positives = labels * predictions\n  false_positives = predictions * (1 - labels)\n  false_negatives = (1 - predictions) * labels\n\n  true_positives = tf.reduce_sum(true_positives, axis=1)\n  false_positives = tf.reduce_sum(false_positives, axis=1)\n  false_negatives = tf.reduce_sum(false_negatives, axis=1)\n\n  precision = true_positives / (true_positives + false_positives + 1e-5)\n  recall = true_positives / (true_positives + false_negatives)\n  f1 = 2 * precision * recall / (precision + recall + 1e-5)\n  # F1 score is not defined where there are no correct labels, ignore these:\n  well_defined = tf.greater(true_positives + false_negatives, 0)\n\n  # Remove any nans (these new 0s will be ignored by the weights anyway):\n  f1 = tf.where(well_defined, f1, tf.zeros_like(f1))\n  return tf.metrics.mean(f1, weights=well_defined)\n\n\ndef _custom_recall_at_k(labels_as_multi_hot, predictions, k):\n  \"\"\"Calculates recall_at_k metric with multi-hot labels.\n\n  For each example which contains at least one label, a recall-at-k is\n  calculated by assessing what proportion of these labels are in the top k\n  predictions. This metric is the mean of these values.\n\n  Args:\n    labels_as_multi_hot: a tensor of [batch_size, num_output_classes] where\n      elements are zero (absent) or one (present).\n    predictions: a tensor of [batch_size, num_output_classes] where elemenents\n      are floats indicating the probability of class membership.\n    k: number of top predictions to consider (must be <= num_output_classes).\n\n  Returns:\n    mean: A scalar `Tensor` representing the current mean, the value of `total`\n       divided by `count` (of finite values).\n    update_op: An operation that increments the `total` and `count` variables\n      appropriately and whose (scalar) value matches the mean_value.\n  \"\"\"\n  labels_as_multi_hot = tf.cast(labels_as_multi_hot, tf.float32)\n\n  num_output_classes = tf.shape(labels_as_multi_hot)[1]\n  _, indices = tf.math.top_k(predictions, k=k)\n\n  predictions_top_k_as_multi_hot = _indices_to_multihot(indices,\n                                                        num_output_classes)\n\n  true_positives_tensor = tf.math.logical_and(\n      tf.cast(labels_as_multi_hot, tf.bool),\n      tf.cast(predictions_top_k_as_multi_hot, tf.bool))\n\n  false_negatives_tensor = tf.math.greater(labels_as_multi_hot,\n                                           predictions_top_k_as_multi_hot)\n\n  true_positives_per_example = tf.count_nonzero(true_positives_tensor, axis=1)\n  false_negatives_per_example = tf.count_nonzero(false_negatives_tensor, axis=1)\n\n  recall_per_example = true_positives_per_example / (\n      true_positives_per_example + false_negatives_per_example)\n\n  is_finite = tf.is_finite(recall_per_example)  # To filter out no label cases.\n  recall_per_example_finite_only = tf.boolean_mask(recall_per_example,\n                                                   is_finite)\n\n  return tf.metrics.mean(recall_per_example_finite_only)\n\n\ndef _make_evaluation_metrics(labels, predictions, num_output_classes, hparams):\n  \"\"\"Construct various eval metrics.\n\n  Args:\n    labels: dict with ground truth data necessary for computing metrics.\n    predictions: dict containing Tensors for predictions.\n    num_output_classes: number of different labels.\n    hparams: tf.contrib.HParams object.\n\n  Returns:\n    A dict where the values obey the tf.metrics API.\n  \"\"\"\n  labels_op = labels[protein_dataset.LABEL_KEY]\n  multi_hot_labels = _indices_to_multihot(labels_op, num_output_classes)\n  predictions_as_floats = predictions[protein_dataset.LABEL_KEY]\n  recall_threshold = hparams.decision_threshold\n  predictions_as_bools = tf.greater(predictions_as_floats,\n                                    tf.constant(recall_threshold))\n\n  metrics = {\n      'precision_at_threshold':\n          tf.metrics.precision(\n              labels=multi_hot_labels, predictions=predictions_as_bools),\n      'recall_at_threshold':\n          tf.metrics.recall(\n              labels=multi_hot_labels, predictions=predictions_as_bools),\n      'f1_at_threshold':\n          _f1_score(labels=multi_hot_labels, predictions=predictions_as_bools),\n      'mean_examplewise_f1_at_threshold':\n          _mean_examplewise_f1_score(\n              labels=multi_hot_labels, predictions=predictions_as_bools),\n      'true_positives':\n          tf.metrics.true_positives(\n              labels=multi_hot_labels, predictions=predictions_as_bools),\n      'false_positives':\n          tf.metrics.false_positives(\n              labels=multi_hot_labels, predictions=predictions_as_bools)\n  }\n  for k in _THRESHOLDS_FOR_RECALL_METRIC:\n    metrics['recall@%d' % k] = _custom_recall_at_k(\n        labels_as_multi_hot=multi_hot_labels,\n        predictions=predictions_as_floats,\n        k=k)\n\n  return metrics\n\n\ndef _set_padding_to_sentinel(padded_representations, sequence_lengths,\n                             sentinel):\n  \"\"\"Set padding on batch of padded representations to a sentinel value.\n\n  Useful for preparing a batch of sequence representations for max or average\n  pooling.\n\n  Args:\n    padded_representations: float32 tensor, shape (batch, longest_sequence, d),\n      where d is some arbitrary embedding dimension. E.g. the output of\n      tf.data.padded_batch.\n    sequence_lengths: tensor, shape (batch,). Each entry corresponds to the\n      original length of the sequence (before padding) of that sequence within\n      the batch.\n    sentinel: float32 tensor, shape: broadcastable to padded_representations.\n\n  Returns:\n    tensor of same shape as padded_representations, where all entries\n      in the sequence dimension that came from padding (i.e. are beyond index\n      sequence_length[i]) are set to sentinel.\n  \"\"\"\n  sequence_dimension = 1\n  embedding_dimension = 2\n\n  with tf.variable_scope('set_padding_to_sentinel', reuse=False):\n    longest_sequence_length = tf.shape(\n        padded_representations)[sequence_dimension]\n    embedding_size = tf.shape(padded_representations)[embedding_dimension]\n\n    seq_mask = tf.sequence_mask(sequence_lengths, longest_sequence_length)\n    seq_mask = tf.expand_dims(seq_mask, [embedding_dimension])\n    is_not_padding = tf.tile(seq_mask, [1, 1, embedding_size])\n\n    full_sentinel = tf.zeros_like(padded_representations)\n    full_sentinel = full_sentinel + tf.convert_to_tensor(sentinel)\n\n    per_location_representations = tf.where(\n        is_not_padding, padded_representations, full_sentinel)\n\n    return per_location_representations\n\n\ndef _make_per_sequence_features(per_location_representations, raw_features,\n                                hparams):\n  \"\"\"Aggregate representations across the sequence dimension.\"\"\"\n\n  sequence_lengths = raw_features[protein_dataset.SEQUENCE_LENGTH_KEY]\n  per_location_representations = _set_padding_to_sentinel(\n      per_location_representations, sequence_lengths, tf.constant(0.))\n  # We average the representations across the sequence length dimension:\n  # tf.reduce_mean(..., axis=1) is problematic, since different batches\n  # may be dynamically padded to different lengths. Instead, we normalize\n  # each element of the batch individually, by the length of each element's\n  # un-normalized sequence. We raise this to a tunable power to allow the\n  # tuner to choose between mean and sum-pooling or an intermediate type.\n  denominator = tf.cast(\n      tf.expand_dims(\n          raw_features[protein_dataset.SEQUENCE_LENGTH_KEY], axis=-1),\n      tf.float32)**hparams.denominator_power\n\n  pooled_representation = tf.reduce_sum(\n      per_location_representations, axis=1) / denominator\n\n  pooled_representation = tf.identity(\n      pooled_representation, name='pooled_representation')\n\n  return pooled_representation\n\n\ndef _convert_representation_to_prediction_ops(representation, raw_features,\n                                              num_output_classes, hparams):\n  \"\"\"Map per-location features to problem-specific prediction ops.\n\n  Args:\n    representation: [batch_size, sequence_length, feature_dim] Tensor.\n    raw_features: dictionary containing the raw input Tensors; this is the\n      sequence, keyed by sequence_key.\n    num_output_classes: number of different labels.\n    hparams: tf.contrib.HParams object.\n\n  Returns:\n    predictions: dictionary containing Tensors that Estimator\n      will return as predictions.\n    predictions_for_loss: Tensor that make_loss() consumes.\n  \"\"\"\n  per_sequence_features = _make_per_sequence_features(\n      per_location_representations=representation,\n      raw_features=raw_features,\n      hparams=hparams)\n  logits = tf.layers.dense(\n      per_sequence_features, num_output_classes, name=LOGITS_KEY)\n\n  predictions = {\n      protein_dataset.LABEL_KEY:\n          tf.identity(tf.sigmoid(logits), name='predictions')\n  }\n\n  predictions_for_loss = logits\n  return predictions, predictions_for_loss\n\n\ndef _make_representation(features, hparams, mode):\n  \"\"\"Produces [batch_size, sequence_length, embedding_dim] features.\n\n  Args:\n    features: dict from str to Tensor, containing sequence and sequence length.\n    hparams: tf.contrib.training.HParams()\n    mode: tf.estimator.ModeKeys instance.\n\n  Returns:\n    Tensor of shape [batch_size, sequence_length, embedding_dim].\n  \"\"\"\n  sequence_features = features[protein_dataset.SEQUENCE_KEY]\n  sequence_lengths = features[protein_dataset.SEQUENCE_LENGTH_KEY]\n\n  is_training = mode == tf.estimator.ModeKeys.TRAIN\n\n  sequence_features = _conv_layer(\n      sequence_features=sequence_features,\n      sequence_lengths=sequence_lengths,\n      num_units=hparams.filters,\n      dilation_rate=1,\n      kernel_size=hparams.kernel_size,\n  )\n\n  for layer_index in range(hparams.num_layers):\n    sequence_features = _residual_block(\n        sequence_features=sequence_features,\n        sequence_lengths=sequence_lengths,\n        hparams=hparams,\n        layer_index=layer_index,\n        activation_fn=tf.nn.relu,\n        is_training=is_training)\n\n  return sequence_features\n\n\ndef _make_prediction_ops(features, hparams, mode, label_vocab):\n  \"\"\"Returns (predictions, predictions_for_loss, representation).\"\"\"\n  representation = _make_representation(features, hparams, mode)\n\n  representation = tf.identity(representation, name=REPRESENTATION_KEY)\n\n  # Used to save constants in the graph, e.g. for SavedModel.\n  _ = tf.constant(label_vocab, name='label_vocab')\n  _ = tf.constant(hparams.decision_threshold, name='decision_threshold')\n\n  num_output_classes = len(label_vocab)\n\n  predictions, prediction_for_loss = _convert_representation_to_prediction_ops(\n      representation=representation,\n      raw_features=features,\n      num_output_classes=num_output_classes,\n      hparams=hparams)\n  return predictions, prediction_for_loss\n\n\ndef _batch_norm(features, is_training):\n  return tf.layers.batch_normalization(features, training=is_training)\n\n\ndef _conv_layer(sequence_features, sequence_lengths, num_units, dilation_rate,\n                kernel_size):\n  \"\"\"Return a convolution of the input features that respects sequence len.\"\"\"\n  padding_zeroed = _set_padding_to_sentinel(sequence_features, sequence_lengths,\n                                            tf.constant(0.))\n  conved = tf.layers.conv1d(\n      padding_zeroed,\n      filters=num_units,\n      kernel_size=[kernel_size],\n      dilation_rate=dilation_rate,\n      padding='same')\n\n  # Re-zero padding, because shorter sequences will have their padding\n  # affected by half the width of the convolution kernel size.\n  re_zeroed = _set_padding_to_sentinel(conved, sequence_lengths,\n                                       tf.constant(0.))\n  return re_zeroed\n\n\ndef _residual_block(sequence_features, sequence_lengths, hparams, layer_index,\n                    activation_fn, is_training):\n  \"\"\"Construct a single block for a residual network.\"\"\"\n\n  with tf.variable_scope('residual_block_{}'.format(layer_index), reuse=False):\n    shifted_layer_index = layer_index - hparams.first_dilated_layer + 1\n    dilation_rate = max(1, hparams.dilation_rate**shifted_layer_index)\n\n    num_bottleneck_units = math.floor(\n        hparams.resnet_bottleneck_factor * hparams.filters)\n\n    features = _batch_norm(sequence_features, is_training)\n    features = activation_fn(features)\n    features = _conv_layer(\n        sequence_features=features,\n        sequence_lengths=sequence_lengths,\n        num_units=num_bottleneck_units,\n        dilation_rate=dilation_rate,\n        kernel_size=hparams.kernel_size,\n    )\n    features = _batch_norm(features, is_training=is_training)\n    features = activation_fn(features)\n\n    # The second convolution is purely local linear transformation across\n    # feature channels, as is done in\n    # third_party/tensorflow_models/slim/nets/resnet_v2.bottleneck\n    residual = _conv_layer(\n        features,\n        sequence_lengths,\n        num_units=hparams.filters,\n        dilation_rate=1,\n        kernel_size=1)\n\n    with_skip_connection = sequence_features + residual\n    return with_skip_connection\n\n\ndef _indices_to_multihot(indices, vocab_size):\n  \"\"\"Converts [batch,n_labels] of indices to [batch,vocab_size] multihot.\n\n  Indices can be padded with -1.\n\n  Args:\n    indices: dense tensor of indices [batch, arbitrary_n_labels], padded with -1\n      if necessary.\n    vocab_size: integer vocab_size.\n\n  Returns:\n    Multihot float32 tensor of dimension [batch, vocab_size].\n\n  e.g. [[0,1],[2,-1]] (vocab_size:4) -> [1,1,0,0], [0,0,1,0]\n\n  \"\"\"\n\n  if len(indices.shape) != 2:\n    raise ValueError(\n        'indices_to_multihot expects tensors of dimension 2, got shape %s' %\n        indices.shape)\n\n  sparse_indices = contrib_layers.dense_to_sparse(indices, eos_token=-1)\n\n  multihot = tf.sparse.to_indicator(sparse_indices, vocab_size=vocab_size)\n\n  multihot = tf.cast(multihot, tf.float32)\n  return multihot\n\n\ndef _make_loss(predictions_for_loss, labels, num_output_classes):\n  \"\"\"Make scalar loss.\"\"\"\n  logits = predictions_for_loss\n  labels_op = labels[protein_dataset.LABEL_KEY]\n\n  # We need to get labels into a multi-hot format:\n  labels_op = _indices_to_multihot(labels_op, vocab_size=num_output_classes)\n\n  loss = tf.nn.sigmoid_cross_entropy_with_logits(\n      labels=labels_op, logits=logits)\n  loss = tf.reduce_mean(loss)\n  return loss\n\n\ndef _make_train_op(loss, hparams):\n  \"\"\"Create train op.\"\"\"\n\n  def learning_rate_decay_fn(learning_rate, global_step):\n    learning_rate = tf.train.exponential_decay(learning_rate, global_step,\n                                               hparams.lr_decay_steps,\n                                               hparams.lr_decay_rate)\n    learning_rate = learning_rate * tf.minimum(\n        tf.cast(global_step / hparams.lr_warmup_steps, tf.float32),\n        tf.constant(1.))\n    return learning_rate\n\n  return contrib_layers.optimize_loss(\n      loss=loss,\n      global_step=tf.train.get_global_step(),\n      clip_gradients=optimizers_lib.adaptive_clipping_fn(\n          decay=hparams.gradient_clipping_decay,\n          report_summary=True,\n      ),\n      learning_rate=hparams.learning_rate,\n      learning_rate_decay_fn=learning_rate_decay_fn,\n      optimizer='Adam')\n\n\ndef make_model_fn(label_vocab, hparams):\n  \"\"\"Returns a model function for estimator given prediction base class.\n\n  Args:\n    label_vocab: list of string.\n    hparams: tf.contrib.HParams object.\n\n  Returns:\n    A function that returns a tf.estimator.EstimatorSpec\n  \"\"\"\n\n  def _model_fn(features, labels, params, mode=None):\n    \"\"\"Returns tf.estimator.EstimatorSpec.\"\"\"\n\n    predictions, predictions_for_loss = _make_prediction_ops(\n        features=features, hparams=params, mode=mode, label_vocab=label_vocab)\n\n    evaluation_hooks = []\n    num_output_classes = len(label_vocab)\n    if mode == tf.estimator.ModeKeys.TRAIN:\n      loss = _make_loss(\n          predictions_for_loss=predictions_for_loss,\n          labels=labels,\n          num_output_classes=num_output_classes)\n      train_op = _make_train_op(loss=loss, hparams=params)\n      eval_ops = None\n    elif mode == tf.estimator.ModeKeys.PREDICT:\n      loss = None\n      train_op = None\n      eval_ops = None\n    else:  # Eval mode.\n      loss = _make_loss(\n          predictions_for_loss=predictions_for_loss,\n          labels=labels,\n          num_output_classes=num_output_classes)\n\n      train_op = None\n      eval_ops = _make_evaluation_metrics(\n          labels=labels,\n          predictions=predictions,\n          num_output_classes=num_output_classes,\n          hparams=hparams)\n\n    return tf.estimator.EstimatorSpec(\n        mode=mode,\n        predictions=predictions,\n        loss=loss,\n        train_op=train_op,\n        eval_metric_ops=eval_ops,\n        evaluation_hooks=evaluation_hooks,\n    )\n\n  return _model_fn\n"
  },
  {
    "path": "protein_model_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Tests for protein_model.py.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nfrom absl import flags\nfrom absl.testing import parameterized\nimport numpy as np\nimport protein_model\nimport tensorflow.compat.v1 as tf\n\nFLAGS = flags.FLAGS\n\n\nclass ProteinModelTest(parameterized.TestCase):\n\n  def testF1Score(self):\n    \"\"\"Tests the F1 score metric.\"\"\"\n    labels = tf.constant([[1, 0], [0, 1], [0, 1], [1, 0]], dtype=tf.int32)\n    # Sensitivity: 1/2\n    # Specificity: 1/2\n    # F1-score: 1/2\n    predictions = tf.constant([[1, 0], [0, 1], [1, 0], [0, 1]],\n                              dtype=tf.float32)\n    f1, update_op = protein_model._f1_score(labels, predictions)\n    with tf.Session() as sess:\n      sess.run(tf.local_variables_initializer())\n      sess.run(update_op)\n      self.assertAlmostEqual(1. / 2, f1.eval(), places=4)\n\n  def testMeanExampleWiseF1Score(self):\n    \"\"\"Tests the F1 score metric.\"\"\"\n    labels = tf.constant([[1, 0], [0, 1], [0, 1], [1, 0], [0, 0]],\n                         dtype=tf.int32)\n    # Sensitivity: 1/2\n    # Specificity: 1/2\n    # F1-score: 1/2\n    predictions = tf.constant([[1, 0], [0, 1], [1, 0], [0, 1], [1, 1]],\n                              dtype=tf.float32)\n    f1, update_op = protein_model._mean_examplewise_f1_score(\n        labels, predictions)\n    with tf.Session() as sess:\n      sess.run(tf.local_variables_initializer())\n      sess.run(update_op)\n      self.assertAlmostEqual(1. / 2, f1.eval(), places=4)\n\n  def testRecallAtK(self):\n    labels = tf.convert_to_tensor([[1, 0, 0], [0, 1, 1], [0, 0, 0]],\n                                  dtype=tf.float32)\n    predictions = tf.convert_to_tensor([[0.5, 1.0, 0.0], [0.5, 0.0, 1.0],\n                                        [0.25, 0.25, 0.4]])\n\n    k_values = [0, 1, 2]\n    expected_recall_values_for_each_k = [0, 0.25, 0.75]\n    # For k = 0 we get 0% from both of first two (3rd example is always NA)\n    # For k = 1 we get 0% from first example and 50% from second\n    # For k = 2 we get 100% from first example and 50% from second\n\n    values_and_updates = [\n        protein_model._custom_recall_at_k(\n            labels_as_multi_hot=labels, predictions=predictions, k=k)\n        for k in k_values\n    ]\n\n    with tf.Session() as sess:\n      for i, value_and_update in enumerate(values_and_updates):\n        value, update_op = value_and_update\n        sess.run(tf.initialize_local_variables())\n        sess.run(update_op)\n        actual_recall = sess.run(value)\n        self.assertEqual(actual_recall, expected_recall_values_for_each_k[i])\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='float values',\n          padded_representations=[[[11.], [21.], [31.]], [[41.], [51.], [61.]]],\n          sequence_lengths=[2, 3],\n          expected=[[[11], [21], [0]], [[41], [51], [61]]],\n          sentinel=0.,\n      ),\n      dict(\n          testcase_name='no padding',\n          padded_representations=[[[11.], [21.], [31.]], [[41.], [51.], [61.]]],\n          sequence_lengths=[3, 3],\n          expected=[[[11.], [21.], [31.]], [[41.], [51.], [61.]]],\n          sentinel=0.,\n      ),\n      dict(\n          testcase_name='all padding',\n          padded_representations=[[[11.], [21.], [31.]], [[41.], [51.], [61.]]],\n          sequence_lengths=[0, 0],\n          expected=[[[0.], [0.], [0.]], [[0.], [0.], [0.]]],\n          sentinel=0.,\n      ),\n      dict(\n          testcase_name='different sentinel',\n          padded_representations=[[[11.], [21.], [31.]], [[41.], [51.], [61.]]],\n          sequence_lengths=[0, 0],\n          expected=[[[-99.], [-99.], [-99.]], [[-99.], [-99.], [-99.]]],\n          sentinel=-99.,\n      ),\n      dict(\n          testcase_name='embedding dimension size > 1',\n          padded_representations=[[[11., -1.], [21., -2.], [31., -3.]],\n                                  [[41., -4.], [51., -5.], [61., -6.]]],\n          sequence_lengths=[2, 3],\n          expected=[[[11., -1.], [21., -2.], [0., 0.]],\n                    [[41., -4.], [51., -5.], [61., -6.]]],\n          sentinel=0.,\n      ),\n  )\n  def testSetPaddingToSentinel(self, padded_representations, sequence_lengths,\n                               expected, sentinel):\n    with tf.Graph().as_default():\n      with tf.Session() as sess:\n        padded_representations = tf.convert_to_tensor(padded_representations)\n        sequence_lengths = tf.convert_to_tensor(sequence_lengths)\n        actual = sess.run(\n            protein_model._set_padding_to_sentinel(padded_representations,\n                                                   sequence_lengths, sentinel))\n        np.testing.assert_array_almost_equal(actual, expected)\n\n  @parameterized.parameters(\n      dict(\n          input_array=[[0, 1], [2, 3]],\n          vocab_size=4,\n          expected=[[1, 1, 0, 0], [0, 0, 1, 1]]),\n      dict(\n          input_array=[[3, -1], [2, 3]],\n          vocab_size=4,\n          expected=[[0, 0, 0, 1], [0, 0, 1, 1]]))\n  def testIndicesToMultiHot(self, input_array, vocab_size, expected):\n\n    with tf.Graph().as_default():\n      with tf.Session() as sess:\n        input_array = tf.convert_to_tensor(input_array)\n        actual = sess.run(\n            protein_model._indices_to_multihot(input_array, vocab_size))\n        np.testing.assert_array_almost_equal(actual, expected)\n\n\nif __name__ == '__main__':\n  tf.test.main()\n"
  },
  {
    "path": "proteinfer.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Functionally annotate a fasta file.\n\nWrite functional predictions as a TSV with columns\n- sequence_name (string)\n- predicted_label (string)\n- confidence (float); number between 0 and 1. An estimate of the model's\n    confidence that the label is true.\n- label_description (string); a human-readable label description.\n\"\"\"\n\nimport decimal\nimport io\nimport logging\nimport os\nfrom typing import Dict, List, Text, Tuple\n\nfrom absl import app\nfrom absl import flags\nfrom Bio.SeqIO import FastaIO\nimport numpy as np\nimport pandas as pd\nimport inference\nimport utils\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'  # TF c++ logging set to ERROR\nimport tensorflow.compat.v1 as tf  # pylint: disable=g-import-not-at-top\nimport tqdm\n\n\n_logger = logging.getLogger('proteinfer')\n\nFLAGS = flags.FLAGS\n\nflags.DEFINE_string('i', None, 'Input fasta file path.')\nflags.DEFINE_string('o', None, 'Output write path.')\n\nflags.DEFINE_integer(\n    'num_ensemble_elements', 1,\n    'In order to run with more than one ensemble element, you will need to run '\n    'install_models.py --install_ensemble=true. '\n    'More ensemble elements takes more time, but tends to be more accurate. '\n    'Run-time scales linearly with the number of ensemble elements. '\n    'Maximum value of this flag is {}.'.format(\n        utils.MAX_NUM_ENSEMBLE_ELS_FOR_INFERENCE))\nflags.DEFINE_float(\n    'reporting_threshold',\n    .5,\n    'Number between 0 (exclusive) and 1 (inclusive). Predicted labels with '\n    'confidence at least resporting_threshold will be included in the output.',\n    lower_bound=0.,\n    upper_bound=1.)\n\nflags.DEFINE_string('model_cache_path', 'cached_models',\n                    'Path from which to use downloaded models and metadata.')\n\n# A list of inferrers that all have the same label set.\n_InferrerEnsemble = List[inference.Inferrer]\n\n# (list_of_pfam_inferrers, list_of_ec_inferrers, list_of_go_inferrers)\n_Models = Tuple[_InferrerEnsemble, _InferrerEnsemble, _InferrerEnsemble]\n\n\ndef _num_decimal_places(f):\n  \"\"\"Get the number of decimal places in a float.\"\"\"\n  # https://stackoverflow.com/a/6190291/1445296\n  return abs(decimal.Decimal('{}'.format(f)).as_tuple().exponent)\n\n\ndef _gcs_path_to_relative_unzipped_path(p):\n  \"\"\"Parses GCS path, to gets the last part, and removes .tar.gz.\"\"\"\n  return os.path.join(\n      os.path.basename(os.path.normpath(p)).replace('.tar.gz', ''))\n\n\ndef _get_inferrer_paths(model_urls,\n                        model_cache_path):\n  \"\"\"Convert list of model GCS urls to a list of locally cached paths.\"\"\"\n  return [\n      os.path.join(model_cache_path, _gcs_path_to_relative_unzipped_path(p))\n      for p in model_urls\n  ]\n\n\ndef load_models(model_cache_path, num_ensemble_elements):\n  \"\"\"Load models from cache path into inferrerLists.\n\n  Args:\n    model_cache_path: path that contains downloaded SavedModels and associated\n      metadata. Same path that was used when installing the models via\n      install_models.\n    num_ensemble_elements: number of ensemble elements of each type to load.\n\n  Returns:\n    (list_of_pfam_inferrers, list_of_ec_inferrers, list_of_go_inferrers)\n\n  Raises:\n    ValueError if the models were not found. The exception message describes\n    that install_models.py needs to be rerun.\n  \"\"\"\n  try:\n    pfam_inferrer_paths = _get_inferrer_paths(utils.OSS_PFAM_ZIPPED_MODELS_URLS,\n                                              model_cache_path)\n    ec_inferrer_paths = _get_inferrer_paths(utils.OSS_EC_ZIPPED_MODELS_URLS,\n                                            model_cache_path)\n    go_inferrer_paths = _get_inferrer_paths(utils.OSS_GO_ZIPPED_MODELS_URLS,\n                                            model_cache_path)\n\n    to_return = []\n    inferrer_list_paths_for_all_models = [\n        pfam_inferrer_paths, ec_inferrer_paths, go_inferrer_paths\n    ]\n    pbar = tqdm.tqdm(\n        desc='Loading models',\n        position=0,\n        total=len(inferrer_list_paths_for_all_models) * num_ensemble_elements,\n        leave=True,\n        dynamic_ncols=True)\n    for inferrer_list_paths in inferrer_list_paths_for_all_models:\n      inner_itr = inferrer_list_paths[:num_ensemble_elements]\n      inferrer_list = []\n      for p in inner_itr:\n        inferrer_list.append(inference.Inferrer(p, use_tqdm=True))\n        pbar.update()\n      to_return.append(inferrer_list)\n\n    pfam_inferrers = to_return[0]\n    ec_inferrers = to_return[1]\n    go_inferrers = to_return[2]\n\n    return pfam_inferrers, ec_inferrers, go_inferrers\n\n  except tf.errors.NotFoundError as exc:\n    err_msg = 'Unable to find cached models in {}.'.format(model_cache_path)\n    if num_ensemble_elements > 1:\n      err_msg += (\n          ' Make sure you have installed the entire ensemble of models by '\n          'running\\n    install_models.py --install_ensemble '\n          '--model_cache_path={}'.format(model_cache_path))\n    else:\n      err_msg += (\n          ' Make sure you have installed the models by running\\n    '\n          'install_models.py --model_cache_path={}'.format(model_cache_path))\n    err_msg += '\\nThen try rerunning this script.'\n\n    raise ValueError(err_msg, exc)\n\n\ndef _assert_fasta_parsable(input_text):\n  with io.StringIO(initial_value=input_text) as f:\n    fasta_itr = FastaIO.FastaIterator(f)\n    end_iteration_sentinel = object()\n\n    # Avoid parsing the entire FASTA contents by using `next`.\n    # A malformed FASTA file will have no entries in its FastaIterator.\n    # This is unfortunate (instead of it throwing an error).\n    if next(fasta_itr, end_iteration_sentinel) is end_iteration_sentinel:\n      raise ValueError('Failed to parse any input from fasta file. '\n                       'Consider checking the formatting of your fasta file. '\n                       'First bit of contents from the fasta file was\\n'\n                       '{}'.format(input_text.splitlines()[:3]))\n\n\ndef parse_input_to_text(input_fasta_path):\n  \"\"\"Parses input fasta file.\n\n  Args:\n    input_fasta_path: path to FASTA file.\n\n  Returns:\n    Contents of file as a string.\n\n  Raises:\n    ValueError if parsing the FASTA file gives no records.\n  \"\"\"\n  _logger.info('Parsing input from %s', input_fasta_path)\n  with tf.io.gfile.GFile(input_fasta_path, 'r') as input_file:\n    input_text = input_file.read()\n\n  _assert_fasta_parsable(input_text=input_text)\n  return input_text\n\n\ndef input_text_to_df(input_text):\n  \"\"\"Converts fasta contents to a df with columns sequence_name and sequence.\"\"\"\n  with io.StringIO(initial_value=input_text) as f:\n    fasta_records = list(FastaIO.FastaIterator(f))\n    fasta_df = pd.DataFrame([(f.name, str(f.seq)) for f in fasta_records],\n                            columns=['sequence_name', 'sequence'])\n\n  return fasta_df\n\n\ndef perform_inference(input_df, models,\n                      reporting_threshold):\n  \"\"\"Perform inference for Pfam, EC, and GO using given models.\n\n  Args:\n    input_df: pd.DataFrame with columns sequence_name (str) and sequence (str).\n    models: (list_of_pfam_inferrers, list_of_ec_inferrers,\n      list_of_go_inferrers).\n    reporting_threshold: report labels with mean confidence across ensemble\n      elements that exceeds this threshold.\n\n  Returns:\n    pd.DataFrame with columns sequence_name (str), label (str), confidence\n    (float).\n  \"\"\"\n  predictions = []\n  for inferrer_list in tqdm.tqdm(\n      models, position=1, desc='Progress', leave=True):\n    predictions.append(\n        inference.get_preds_at_or_above_threshold(input_df, inferrer_list,\n                                                  reporting_threshold))\n\n  print('\\n')  # Because the tqdm bar is position 1, we need to print a newline.\n\n  predictions = pd.concat(predictions)\n  return predictions\n\n\ndef _sort_df_multiple_columns(df, key):\n  \"\"\"Sort df based on callable key.\n\n  Args:\n    df: pd.DataFrame.\n    key: function from rows of df (namedtuples) to tuple. This is used in the\n      builtin `sorted` method as the key.\n\n  Returns:\n    A sorted copy of df.\n  \"\"\"\n  # Unpack into list to take advantage of builtin sorted function.\n  # Note that pd.DataFrame.sort_values will not work because sort_values'\n  # sorting function is applied to each column at a time, whereas we need to\n  # consider multiple fields at once.\n  df_rows_sorted = sorted(df.itertuples(index=False), key=key)\n  return pd.DataFrame(df_rows_sorted, columns=df.columns)\n\n\ndef order_df_for_output(predictions_df):\n  \"\"\"Semantically group/sort predictions df for output.\n\n  Sort order:\n  Sort by query sequence name as they are in `predictions_df`.\n  Put all Pfam labels first, then EC labels, then GO labels.\n  Given that,\n    - if it's an EC label, sort by label alphabetically.\n    - else, sort by confidence descending.\n      Given that, sort by description alphabetically.\n\n  The reason to sort EC differently is that the alphabetic ordering of EC labels\n  is meaningful, while the alphabetic orering of Pfam and GO labels is not.\n\n  Args:\n    predictions_df: df with columns sequence_name (str), predicted_label (str),\n      confidence (float), description (str).\n\n  Returns:\n    df with columns sequence_name (str), predicted_label (str), confidence\n    (float), description (str).\n  \"\"\"\n  seq_name_to_original_order = {\n      item: idx for idx, item in enumerate(predictions_df.sequence_name)\n  }\n\n  def filter_by_label_type(df, label_type):\n    return df[df.predicted_label.apply(lambda x: x.startswith(label_type))]\n\n  def _orderer_pfam_and_go(df_row):\n    \"\"\"See outer function doctsring.\"\"\"\n    confidence_sort_key = -1 * df_row.confidence\n    return (seq_name_to_original_order[df_row.sequence_name],\n            confidence_sort_key, df_row.description)\n\n  def _orderer_ec(df_row):\n    \"\"\"See outer function doctsring.\"\"\"\n    confidence_sort_key = -1 * df_row.confidence\n    return (seq_name_to_original_order[df_row.sequence_name],\n            df_row.predicted_label)\n\n  pfam_df = filter_by_label_type(predictions_df, 'Pfam')\n  ec_df = filter_by_label_type(predictions_df, 'EC')\n  go_df = filter_by_label_type(predictions_df, 'GO')\n\n  pfam_df_sorted = _sort_df_multiple_columns(pfam_df, _orderer_pfam_and_go)\n  ec_df_sorted = _sort_df_multiple_columns(ec_df, _orderer_ec)\n  go_df_sorted = _sort_df_multiple_columns(go_df, _orderer_pfam_and_go)\n  return pd.concat([pfam_df_sorted, ec_df_sorted, go_df_sorted])\n\n\ndef _format_float_confidence_for_output(input_float,\n                                        num_decimal_places):\n  # Create a separate function so as to test it against our expectations.\n  return np.around(input_float, num_decimal_places)\n\n\ndef format_df_for_output(predictions_df,\n                         label_to_description,\n                         num_decimal_places):\n  \"\"\"Formats df for outputting.\n\n  Args:\n    predictions_df: df with columns sequence_name (str), predicted_label (str),\n      confidence (float).\n    label_to_description: contents of label_descriptions.json.gz. Map from label\n      to a human-readable description.\n    num_decimal_places: number of decimal places to display in the confidence\n      output column.\n\n  Returns:\n    df with columns sequence_name (str), predicted_label (str), confidence\n    (float), description (str).\n  \"\"\"\n  predictions_df = predictions_df.copy()\n\n  predictions_df['description'] = predictions_df.predicted_label.apply(\n      label_to_description.__getitem__)\n  predictions_df['confidence'] = predictions_df.confidence.apply(\n      lambda x: _format_float_confidence_for_output(x, num_decimal_places))\n\n  return order_df_for_output(predictions_df)\n\n\ndef write_output(predictions_df, output_path):\n  \"\"\"Write predictions_df to tsv file.\"\"\"\n  _logger.info('Writing output to %s', output_path)\n  with tf.io.gfile.GFile(output_path, 'w') as f:\n    predictions_df.to_csv(f, sep='\\t', index=False)\n\n\ndef run(input_text, models, reporting_threshold,\n        label_to_description):\n  \"\"\"Runs inference and returns output as a pd.DataFrame.\n\n  Args:\n    input_text: contents of a fasta file.\n    models: (list_of_pfam_inferrers, list_of_ec_inferrers,\n      list_of_go_inferrers).\n    reporting_threshold: report labels with mean confidence across ensemble\n      elements that exceeds this threshold.\n    label_to_description: contents of label_descriptions.json.gz. Map from label\n      to a human-readable description.\n\n  Returns:\n    pd.DataFrame with columns sequence_name (str), label (str), confidence\n    (float).\n  \"\"\"\n  input_df = input_text_to_df(input_text)\n  predictions_df = perform_inference(\n      input_df=input_df,\n      models=models,\n      reporting_threshold=reporting_threshold)\n\n  predictions_df = format_df_for_output(\n      predictions_df=predictions_df,\n      label_to_description=label_to_description,\n      num_decimal_places=max(2, _num_decimal_places(reporting_threshold)))\n\n  return predictions_df\n\n\ndef load_assets_and_run(input_fasta_path, output_path,\n                        num_ensemble_elements, model_cache_path,\n                        reporting_threshold):\n  \"\"\"Loads models/metadata, runs inference, and writes output to tsv file.\n\n  Args:\n    input_fasta_path: path to FASTA file.\n    output_path: path to which to write a tsv of inference results.\n    num_ensemble_elements: Number of ensemble elements to load and perform\n      inference with.\n    model_cache_path: path that contains downloaded SavedModels and associated\n      metadata. Same path that was used when installing the models via\n      install_models.\n    reporting_threshold: report labels with mean confidence across ensemble\n      elements that exceeds this threshold.\n  \"\"\"\n  _logger.info('Running with %d ensemble elements', num_ensemble_elements)\n  input_text = parse_input_to_text(input_fasta_path)\n\n  models = load_models(model_cache_path, num_ensemble_elements)\n  label_to_description = utils.load_gz_json(\n      os.path.join(model_cache_path,\n                   utils.INSTALLED_LABEL_DESCRIPTION_FILE_NAME))\n\n  predictions_df = run(input_text, models, reporting_threshold,\n                       label_to_description)\n  write_output(predictions_df, output_path)\n\n\ndef main(_):\n  # TF logging is too noisy otherwise.\n  tf.get_logger().setLevel(tf.logging.ERROR)\n\n  if FLAGS.reporting_threshold == 0.:\n    raise ValueError('The reporting_threshold flag was 0. Please supply a '\n                     'value between 0 (exclusive) and 1 (inclusive). A value '\n                     'of zero will report every label for every protein.')\n  load_assets_and_run(\n      input_fasta_path=FLAGS.i,\n      output_path=FLAGS.o,\n      num_ensemble_elements=FLAGS.num_ensemble_elements,\n      model_cache_path=FLAGS.model_cache_path,\n      reporting_threshold=FLAGS.reporting_threshold)\n\n\nif __name__ == '__main__':\n  _logger.info('Process started.')\n  flags.mark_flags_as_required(['i', 'o'])\n\n  app.run(main)\n"
  },
  {
    "path": "proteinfer_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Tests for proteinfer binary.\"\"\"\n\nfrom absl.testing import parameterized\nimport pandas as pd\nimport proteinfer\nimport test_util\nimport utils\nimport tensorflow.compat.v1 as tf\n\n\nclass ProteinferTest(parameterized.TestCase):\n\n  def test_gcs_path_to_relative_unzipped_path(self):\n    actual = proteinfer._gcs_path_to_relative_unzipped_path(\n        utils.OSS_GO_ZIPPED_MODELS_URLS[0])\n    expected = 'noxpd2_cnn_swissprot_go_random_swiss-cnn_for_swissprot_go_random-13703706'\n    self.assertEqual(actual, expected)\n\n  def test_parse_input(self):\n    input_file_path = self.create_tempfile(content='>SEQUENCE_NAME\\nACDE')\n    input_text = proteinfer.parse_input_to_text(input_file_path.full_path)\n    actual_df = proteinfer.input_text_to_df(input_text)\n    expected = pd.DataFrame({\n        'sequence_name': ['SEQUENCE_NAME'],\n        'sequence': ['ACDE'],\n    })\n\n    # BioPython parses sequences as Bio.Seq.Seq which can, in most cases,\n    # act as sequences, but in others can lead to surprising behavior. Ensure\n    # we actually have a str.\n    self.assertEqual(type(actual_df.sequence.values[0]), str)\n    test_util.assert_dataframes_equal(self, actual_df, expected)\n\n  def test_parse_input_malformed_fasta(self):\n    # input is missing fasta header line marker.\n    input_file_path = self.create_tempfile(content='SEQUENCE_NAME\\nACDE')\n    with self.assertRaisesRegex(ValueError, 'Failed to parse'):\n      proteinfer.parse_input_to_text(input_file_path.full_path)\n\n  def test_format_output_adds_description_and_formats_float_confidence(self):\n    input_df = pd.DataFrame({\n        'sequence_name': ['SEQ_A'],\n        'predicted_label': ['Pfam:PF000042'],\n        'confidence': [.991]\n    })\n    label_to_description = {'Pfam:PF000042': 'Oxygen carrier'}\n    num_decimal_places = 2\n\n    actual = proteinfer.format_df_for_output(input_df, label_to_description,\n                                             num_decimal_places)\n    expected = pd.DataFrame({\n        'sequence_name': ['SEQ_A'],\n        'predicted_label': ['Pfam:PF000042'],\n        'confidence': [.99],\n        'description': ['Oxygen carrier']\n    })\n\n    test_util.assert_dataframes_equal(self, actual, expected)\n\n  @parameterized.parameters(\n      dict(input_confidence=1., num_decimal_places=2, expected=1.0),\n      dict(input_confidence=1., num_decimal_places=3, expected=1.0),\n      dict(input_confidence=0.1, num_decimal_places=2, expected=0.1),\n      dict(input_confidence=0.01, num_decimal_places=2, expected=0.01),\n      dict(input_confidence=0.006, num_decimal_places=2, expected=0.01),\n      dict(input_confidence=0.001, num_decimal_places=3, expected=0.001),\n  )\n  def test_format_float_confidence(self, input_confidence, num_decimal_places,\n                                   expected):\n    actual = proteinfer._format_float_confidence_for_output(\n        input_confidence, num_decimal_places)\n    self.assertEqual(actual, expected)\n\n  def test_load_models_raises_on_model_missing_no_ensemble(self):\n    expected_err_contents = ('Unable to find cached models in FAKE_PATH. Make '\n                             'sure you have installed the models by running\\n'\n                             '    install_models.py '\n                             '--model_cache_path=FAKE_PATH\\nThen try rerunning '\n                             'this script.')\n    with self.assertRaises(ValueError) as exc:\n      proteinfer.load_models(\n          model_cache_path='FAKE_PATH', num_ensemble_elements=1)\n\n    actual = exc.exception.args[0]\n\n    self.assertIn(expected_err_contents, actual)\n\n  def test_load_models_raises_on_model_missing_with_ensemble(self):\n    expected_err_contents = ('Unable to find cached models in FAKE_PATH. Make '\n                             'sure you have installed the entire ensemble of '\n                             'models by running\\n    install_models.py '\n                             '--install_ensemble '\n                             '--model_cache_path=FAKE_PATH\\nThen try rerunning '\n                             'this script.')\n    with self.assertRaises(ValueError) as exc:\n      proteinfer.load_models(\n          model_cache_path='FAKE_PATH', num_ensemble_elements=3)\n\n    actual = exc.exception.args[0]\n    self.assertIn(expected_err_contents, actual)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='orders by sequence name\\'s original ordering',\n          input_df=pd.DataFrame({\n              'sequence_name': ['SEQ_B', 'SEQ_A'],\n              'predicted_label': ['Pfam:PF00001', 'Pfam:PF00002'],\n              'confidence': [.1, .9],\n              'description': ['First GPCRA', 'Second GPCR'],\n          }),\n          expected=pd.DataFrame({\n              # Note that this df is not sorted by the sequence name's column\n              # alphabetically; instead it preserves the original ordering.\n              'sequence_name': ['SEQ_B', 'SEQ_A'],\n              'predicted_label': ['Pfam:PF00001', 'Pfam:PF00002'],\n              'confidence': [.1, .9],\n              'description': ['First GPCRA', 'Second GPCR'],\n          }),\n      ),\n      dict(\n          testcase_name='orders by confidences given same label class',\n          input_df=pd.DataFrame({\n              'sequence_name': ['SEQ_A', 'SEQ_A'],\n              'predicted_label': ['Pfam:PF00001', 'Pfam:PF00002'],\n              'confidence': [.1, .9],\n              'description': ['First GPCRA', 'Second GPCR'],\n          }),\n          expected=pd.DataFrame({\n              'sequence_name': ['SEQ_A', 'SEQ_A'],\n              'predicted_label': ['Pfam:PF00002', 'Pfam:PF00001'],\n              'confidence': [.9, .1],\n              'description': ['Second GPCR', 'First GPCRA'],\n          }),\n      ),\n      dict(\n          testcase_name='orders Pfam then EC then GO',\n          input_df=pd.DataFrame({\n              'sequence_name': ['SEQ_A', 'SEQ_A', 'SEQ_A'],\n              'predicted_label': ['GO:0123456', 'EC:1.2.3.-', 'Pfam:PF00001'],\n              'confidence': [.1, .9, .3],\n              'description': ['go label', 'ec label', 'pfam label'],\n          }),\n          expected=pd.DataFrame({\n              'sequence_name': ['SEQ_A', 'SEQ_A', 'SEQ_A'],\n              'predicted_label': ['Pfam:PF00001', 'EC:1.2.3.-', 'GO:0123456'],\n              'confidence': [.3, .9, .1],\n              'description': ['pfam label', 'ec label', 'go label'],\n          }),\n      ),\n      dict(\n          testcase_name='For EC, orders by label alphabetically, not description alphabetically (despite confidences)',\n          input_df=pd.DataFrame({\n              'sequence_name': ['SEQ_A', 'SEQ_A'],\n              'predicted_label': ['EC:1.2.3.-', 'EC:1.2.-.-'],\n              'confidence': [1., .9],\n              'description': [\n                  'AAA alphabetically FIRST EC label',\n                  'ZZZ alphabetically LAST EC label'\n              ],\n          }),\n          expected=pd.DataFrame({\n              'sequence_name': ['SEQ_A', 'SEQ_A'],\n              'predicted_label': ['EC:1.2.-.-', 'EC:1.2.3.-'],\n              'confidence': [.9, 1.],\n              'description': [\n                  'ZZZ alphabetically LAST EC label',\n                  'AAA alphabetically FIRST EC label'\n              ],\n          }),\n      ),\n      dict(\n          testcase_name='orders by description given same label class and confidence',\n          input_df=pd.DataFrame({\n              'sequence_name': ['SEQ_A', 'SEQ_A'],\n              'predicted_label': ['Pfam:PF00001', 'Pfam:PF00002'],\n              'confidence': [1., 1.],\n              'description': ['ZZZZ', 'AAAA'],\n          }),\n          expected=pd.DataFrame({\n              'sequence_name': ['SEQ_A', 'SEQ_A'],\n              'predicted_label': ['Pfam:PF00002', 'Pfam:PF00001'],\n              'confidence': [1., 1.],\n              'description': ['AAAA', 'ZZZZ'],\n          }),\n      ),\n  )\n  def test_order_df_for_output(self, input_df, expected):\n    actual = proteinfer.order_df_for_output(input_df)\n    test_util.assert_dataframes_equal(self, actual, expected)\n\n\nif __name__ == '__main__':\n  tf.test.main()\n"
  },
  {
    "path": "requirements.txt",
    "content": "absl-py==0.7.1\nastor==0.7.1\nbiopython==1.78\nbackports.weakref==1.0.post1\nenum34==1.1.6\nfuncsigs==1.0.2\ngast==0.2.2\ngrpcio==1.19.0\nh5py==2.9.0\nKeras-Applications==1.0.8\nKeras-Preprocessing==1.0.9\nMarkdown==3.0.1\nmock==2.0.0\nnumpy==1.16.5\npandas==1.1.2\npbr==5.1.3\nplotly==4.11.0\nplotnine==0.7.0\nprotobuf<4\npython-dateutil==2.8.0\npytz==2018.9\nscikit-learn==0.23.2\nsix==1.12.0\ntensorflow-gpu==1.15.4\ntensorflow-estimator==1.15.1\ntensorflow-hub==0.9.0\ntermcolor==1.1.0\ntqdm==4.62.2\nWerkzeug==0.15.1\n"
  },
  {
    "path": "test_util.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Tests utilities for Proteinfer.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport os\n\nfrom absl import flags\nfrom absl.testing import absltest\nimport numpy as np\n\nFLAGS = flags.FLAGS\n\n\ndef model_testdata_path():\n  return os.path.join(absltest.get_default_test_srcdir(),\n                      './')\n\n\ndef savedmodel_path():\n  return os.path.join(model_testdata_path(), 'testdata/saved_model')\n\n\ndef assert_dataframes_equal(abseil_testcase_instance,\n                            actual,\n                            expected,\n                            sort_by_column=None,\n                            nan_equals_nan=False):\n  \"\"\"Assert dataframes equal up to reordering of columns and rows.\n\n  Supports non-indexable datatypes in fields, like `set` and np.ndarray.\n\n  Args:\n    abseil_testcase_instance: absltest.TestCase (or parameterized.TestCase).\n      E.g. pass 'self' from within an absltest.TestCase.\n    actual: pd.DataFrame.\n    expected: pd.DataFrame.\n    sort_by_column: optional string name of a column. This column must be\n      sortable (e.g. an int, not an np.array).\n    nan_equals_nan: bool. If true, then allow nan == nan.\n  \"\"\"\n  abseil_testcase_instance.assertEqual(\n      len(actual), len(expected),\n      'Lengths were not equal: {}\\nand\\n{}'.format(actual, expected))\n\n  potential_error_message = 'actual:\\n{}\\nexpected:\\n{}'.format(\n      actual, expected)\n\n  abseil_testcase_instance.assertSetEqual(\n      set(actual.columns), set(expected.columns), potential_error_message)\n\n  if len(set(actual.columns)) == 0:  # pylint: disable=g-explicit-length-test\n    # Both dataframes are empty.\n    return\n\n  # Sort rows of DFs in same way, based on just one of the columns.\n  if sort_by_column:\n    actual = actual.sort_values(by=sort_by_column)\n    expected = expected.sort_values(by=sort_by_column)\n\n  actual_records = actual.to_dict('records')\n  expected_records = expected.to_dict('records')\n\n  for actual_record, expected_record in zip(actual_records, expected_records):\n    abseil_testcase_instance.assertCountEqual(actual_record.keys(),\n                                              expected_record.keys(),\n                                              potential_error_message)\n    for col_name in actual_record.keys():\n      actual_value = actual_record[col_name]\n      expected_value = expected_record[col_name]\n      if isinstance(actual_value, np.ndarray):\n        np.testing.assert_allclose(\n            actual_value, expected_value, err_msg=potential_error_message)\n      elif isinstance(actual_value, float) and np.isnan(actual_value):\n        if nan_equals_nan and np.isnan(actual_value) and np.isnan(\n            expected_value):\n          continue\n        else:\n          raise AssertionError(\n              actual_value, expected_value,\n              'Actual value is nan, and nan is not equal to anything. '\n              '{} != {}. {}'.format(actual_value, expected_value,\n                                    potential_error_message))\n      else:\n        abseil_testcase_instance.assertEqual(actual_value, expected_value,\n                                             potential_error_message)\n"
  },
  {
    "path": "test_util_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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# Lint as: python3\n\"\"\"Tests for proteinfer.test_util.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nfrom absl.testing import absltest\nfrom absl.testing import parameterized\nimport numpy as np\nimport pandas as pd\n\nimport test_util\n\n\nclass TestUtilTest(parameterized.TestCase):\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='empty df',\n          df1=pd.DataFrame(),\n          df2=pd.DataFrame(),\n      ),\n      dict(\n          testcase_name='one column, ints',\n          df1=pd.DataFrame({'col1': [1, 2, 3]}),\n          df2=pd.DataFrame({'col1': [1, 2, 3]}),\n      ),\n      dict(\n          testcase_name='one column, floats',\n          df1=pd.DataFrame({'col1': [1., 2.]}),\n          df2=pd.DataFrame({'col1': [1., 2.]}),\n      ),\n      dict(\n          testcase_name='one column, sets',\n          df1=pd.DataFrame({'col1': [\n              {1., 2.},\n              {3., 4.},\n          ]}),\n          df2=pd.DataFrame({'col1': [\n              {1., 2.},\n              {3., 4.},\n          ]}),\n      ),\n      dict(\n          testcase_name='one column, np.arrays',\n          df1=pd.DataFrame({'col1': [\n              np.array([1., 2.]),\n              np.array([3., 4.]),\n          ]}),\n          df2=pd.DataFrame({'col1': [\n              np.array([1., 2.]),\n              np.array([3., 4.]),\n          ]}),\n      ),\n      dict(\n          testcase_name='two columns, ints and floats',\n          df1=pd.DataFrame({\n              'col1': ['a', 'b'],\n              'col2': [1., 2.],\n          }),\n          df2=pd.DataFrame({\n              'col1': ['a', 'b'],\n              'col2': [1., 2.],\n          }),\n      ),\n      dict(\n          testcase_name='two columns, strings and floats, reordered',\n          df1=pd.DataFrame({\n              'col1': ['a', 'b'],\n              'col2': [1., 2.],\n          }),\n          df2=pd.DataFrame({\n              'col1': ['b', 'a'],\n              'col2': [2., 1.],\n          }),\n          order_by_column='col1',\n      ),\n      dict(\n          testcase_name='two columns, strings and np.arrays, reordered',\n          df1=pd.DataFrame({\n              'col1': ['a', 'b'],\n              'col2': [\n                  np.array([1., 2.]),\n                  np.array([3., 4.]),\n              ],\n          }),\n          df2=pd.DataFrame({\n              'col1': ['b', 'a'],\n              'col2': [\n                  np.array([3., 4.]),\n                  np.array([1., 2.]),\n              ],\n          }),\n          order_by_column='col1',\n      ),\n  )\n  def test_assert_dataframes_equal_no_error(self,\n                                            df1,\n                                            df2,\n                                            order_by_column=None):\n    test_util.assert_dataframes_equal(self, df1, df2, order_by_column)\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='empty df and nonempty df',\n          df1=pd.DataFrame(),\n          df2=pd.DataFrame({'col1': [1., 2., 3.]}),\n      ),\n      dict(\n          testcase_name='one column, different lengths',\n          df1=pd.DataFrame({'col1': [1, 2]}),\n          df2=pd.DataFrame({'col1': [1, 2, 3]}),\n      ),\n      dict(\n          testcase_name='one column, sets',\n          df1=pd.DataFrame({'col1': [\n              {1., 2.},\n              {3., 4.},\n          ]}),\n          df2=pd.DataFrame({'col1': [\n              {1., 2.},\n              set([]),\n          ]}),\n      ),\n      dict(\n          testcase_name='one column, np.arrays',\n          df1=pd.DataFrame({'col1': [\n              np.array([1., 2.]),\n              np.array([3., 4.]),\n          ]}),\n          df2=pd.DataFrame({'col1': [\n              np.array([1., 2.]),\n              np.array([]),\n          ]}),\n      ),\n      dict(\n          testcase_name='two columns, ints and floats',\n          df1=pd.DataFrame({\n              'col1': ['a', 'b'],\n              'col2': [1., 2.],\n          }),\n          df2=pd.DataFrame({\n              'col1': ['a', 'b'],\n              'col2': [1., 9999999999999.],\n          }),\n      ),\n      dict(\n          testcase_name='two columns, strings and floats, reordered',\n          df1=pd.DataFrame({\n              'col1': ['a', 'b'],\n              'col2': [1., 2.],\n          }),\n          df2=pd.DataFrame({\n              'col1': ['b', 'a'],\n              'col2': [9999999999999., 1.],\n          }),\n          order_by_column='col1',\n      ),\n  )\n  def test_assert_dataframes_equal_error(self, df1, df2, order_by_column=None):\n    with self.assertRaises(AssertionError):\n      test_util.assert_dataframes_equal(self, df1, df2, order_by_column)\n\n  def test_assert_dataframes_equal_nan_equal_nan(self):\n    df1 = pd.DataFrame({'col1': [float('nan'),]})\n\n    test_util.assert_dataframes_equal(self, df1, df1, nan_equals_nan=True)\n\n  def test_assert_dataframes_equal_nan_raises(self):\n    df1 = pd.DataFrame({'col1': [float('nan'),]})\n\n    with self.assertRaisesRegex(AssertionError, 'nan'):\n      test_util.assert_dataframes_equal(self, df1, df1, nan_equals_nan=False)\n\n\nif __name__ == '__main__':\n  absltest.main()\n"
  },
  {
    "path": "testdata/blast.tsv",
    "content": "accession=\"ABC\"\taccession=\"DEF\"\t50\t10\t100\t20\t4\t5\t6\t7\t1-e10\t500"
  },
  {
    "path": "testdata/enzclass.txt",
    "content": "---------------------------------------------------------------------------\n        ENZYME nomenclature database\n        SIB Swiss Institute of Bioinformatics; Geneva, Switzerland\n---------------------------------------------------------------------------\n\nDescription: ENZYME class hierarchy\nName:        enzclass.txt\nRelease:     31-Jul-2019\n\n---------------------------------------------------------------------------\n\n1. -. -.-  Oxidoreductases.\n1. 1. -.-   Acting on the CH-OH group of donors.\n1. 1. 1.-    With NAD(+) or NADP(+) as acceptor.\n1. 1. 2.-    With a cytochrome as acceptor.\n1. 1. 3.-    With oxygen as acceptor.\n1. 1. 4.-    With a disulfide as acceptor.\n1. 1. 5.-    With a quinone or similar compound as acceptor.\n1. 1. 9.-    With a copper protein as acceptor.\n1. 1.98.-    With other, known, acceptors.\n1. 1.99.-    With other acceptors.\n1. 2. -.-   Acting on the aldehyde or oxo group of donors.\n1. 2. 1.-    With NAD(+) or NADP(+) as acceptor.\n1. 2. 2.-    With a cytochrome as acceptor.\n1. 2. 3.-    With oxygen as acceptor.\n1. 2. 4.-    With a disulfide as acceptor.\n1. 2. 5.-    With a quinone or similar compound as acceptor.\n1. 2. 7.-    With an iron-sulfur protein as acceptor.\n1. 2.98.-    With other, known, acceptors.\n1. 2.99.-    With other acceptors.\n1. 3. -.-   Acting on the CH-CH group of donors.\n1. 3. 1.-    With NAD(+) or NADP(+) as acceptor.\n1. 3. 2.-    With a cytochrome as acceptor.\n1. 3. 3.-    With oxygen as acceptor.\n1. 3. 4.-    With a disulfide as acceptor.\n1. 3. 5.-    With a quinone or related compound as acceptor.\n1. 3. 7.-    With an iron-sulfur protein as acceptor.\n1. 3. 8.-    With a flavin as acceptor.\n1. 3.98.-    With other, known, acceptors.\n1. 3.99.-    With other acceptors.\n1. 4. -.-   Acting on the CH-NH(2) group of donors.\n1. 4. 1.-    With NAD(+) or NADP(+) as acceptor.\n1. 4. 2.-    With a cytochrome as acceptor.\n1. 4. 3.-    With oxygen as acceptor.\n1. 4. 4.-    With a disulfide as acceptor.\n1. 4. 5.-    With a quinone or similar compound as acceptor.\n1. 4. 7.-    With an iron-sulfur protein as acceptor.\n1. 4. 9.-    With a copper protein as acceptor.\n1. 4.98.-    With other, known, acceptors.\n1. 4.99.-    With other acceptors.\n1. 5. -.-   Acting on the CH-NH group of donors.\n1. 5. 1.-    With NAD(+) or NADP(+) as acceptor.\n1. 5. 3.-    With oxygen as acceptor.\n1. 5. 4.-    With a disulfide as acceptor.\n1. 5. 5.-    With a quinone or similar compound as acceptor.\n1. 5. 7.-    With an iron-sulfur protein as acceptor.\n1. 5. 8.-    With a flavin as acceptor.\n1. 5.98.-    With other, known, acceptors.\n1. 5.99.-    With other acceptors.\n1. 6. -.-   Acting on NADH or NADPH.\n1. 6. 1.-    With NAD(+) or NADP(+) as acceptor.\n1. 6. 2.-    With a heme protein as acceptor.\n1. 6. 3.-    With oxygen as acceptor.\n1. 6. 4.-    With a disulfide as acceptor.\n1. 6. 5.-    With a quinone or similar compound as acceptor.\n1. 6. 6.-    With a nitrogenous group as acceptor.\n1. 6. 7.-    With a iron-sulfur protein as acceptor.\n1. 6. 8.-    With a flavin as acceptor.\n1. 6.99.-    With other acceptors.\n1. 7. -.-   Acting on other nitrogenous compounds as donors.\n1. 7. 1.-    With NAD(+) or NADP(+) as acceptor.\n1. 7. 2.-    With a cytochrome as acceptor.\n1. 7. 3.-    With oxygen as acceptor.\n1. 7. 5.-    With a quinone or similar compound as acceptor.\n1. 7. 6.-    With a nitrogenous group as acceptor.\n1. 7. 7.-    With an iron-sulfur protein as acceptor.\n1. 7. 9.-    With a copper protein as acceptor.\n1. 7.99.-    With other acceptors.\n1. 8. -.-   Acting on a sulfur group of donors.\n1. 8. 1.-    With NAD(+) or NADP(+) as acceptor.\n1. 8. 2.-    With a cytochrome as acceptor.\n1. 8. 3.-    With oxygen as acceptor.\n1. 8. 4.-    With a disulfide as acceptor.\n1. 8. 5.-    With a quinone or similar compound as acceptor.\n1. 8. 6.-    With an nitrogenous group as acceptor.\n1. 8. 7.-    With an iron-sulfur protein as acceptor.\n1. 8.98.-    With other, known, acceptors.\n1. 8.99.-    With other acceptors.\n1. 9. -.-   Acting on a heme group of donors.\n1. 9. 3.-    With oxygen as acceptor.\n1. 9. 6.-    With a nitrogenous group as acceptor.\n1. 9.98.-    With other, known, acceptors.\n1. 9.99.-    With other acceptors.\n1.10. -.-   Acting on diphenols and related substances as donors.\n1.10. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.10. 2.-    With a cytochrome as acceptor.\n1.10. 3.-    With oxygen as acceptor.\n1.10. 5.-    With a quinone or related compound as acceptor.\n1.10. 9.-    With a copper protein as acceptor.\n1.10.98.-    With other, known, acceptors.\n1.10.99.-    With other acceptors.\n1.11. -.-   Acting on a peroxide as acceptor.\n1.11. 1.-    Peroxidases.\n1.11. 2.-    With H(2)O(2) as acceptor, one oxygen atom of which is incorporated into the product.\n1.12. -.-   Acting on hydrogen as donors.\n1.12. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.12. 2.-    With a cytochrome as acceptor.\n1.12. 5.-    With a quinone or similar compound as acceptor.\n1.12. 7.-    With an iron-sulfur protein as acceptor.\n1.12.98.-    With other, known, acceptors.\n1.12.99.-    With other acceptors.\n1.13. -.-   Acting on single donors with incorporation of molecular oxygen (oxygenases). The oxygen incorporated need not be derived from O(2).\n1.13. 1.-    With NADH or NADPH as one donor.\n1.13.11.-    With incorporation of two atoms of oxygen.\n1.13.12.-    With incorporation of one atom of oxygen (internal monooxygenases or internal mixed function oxidases).\n1.13.99.-    Miscellaneous.\n1.14. -.-   Acting on paired donors, with incorporation or reduction of molecular oxygen. The oxygen incorporated need not be derived from O(2).\n1.14. 1.-    With NADH or NADPH as one donor.\n1.14. 2.-    With ascorbate as one donor.\n1.14. 3.-    With reduced pteridine as one donor.\n1.14.11.-    With 2-oxoglutarate as one donor, and incorporation of one atom each of oxygen into both donors.\n1.14.12.-    With NADH or NADPH as one donor, and incorporation of two atoms of oxygen into one donor.\n1.14.13.-    With NADH or NADPH as one donor, and incorporation of one atom of oxygen.\n1.14.14.-    With reduced flavin or flavoprotein as one donor, and incorporation of one atom of oxygen.\n1.14.15.-    With reduced iron-sulfur protein as one donor, and incorporation of one atom of oxygen.\n1.14.16.-    With reduced pteridine as one donor, and incorporation of one atom of oxygen.\n1.14.17.-    With reduced ascorbate as one donor, and incorporation of one atom of oxygen.\n1.14.18.-    With another compound as one donor, and incorporation of one atom of oxygen.\n1.14.19.-    With oxidation of a pair of donors resulting in the reduction of molecular oxygen to two molecules of water.\n1.14.20.-    With 2-oxoglutarate as one donor, and the other dehydrogenated.\n1.14.21.-    With NADH or NADPH as one donor, and the other dehydrogenated.\n1.14.99.-    Miscellaneous.\n1.15. -.-   Acting on superoxide as acceptor.\n1.15. 1.-    Acting on superoxide as acceptor.\n1.16. -.-   Oxidizing metal ions.\n1.16. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.16. 3.-    With oxygen as acceptor.\n1.16. 5.-    With a quinone or similar compound as acceptor.\n1.16. 8.-    With a flavin as acceptor.\n1.16. 9.-    With a copper protein as acceptor.\n1.16.98.-    With other known acceptors.\n1.17. -.-   Acting on CH or CH(2) groups.\n1.17. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.17. 2.-    With a cytochrome as acceptor.\n1.17. 3.-    With oxygen as acceptor.\n1.17. 4.-    With a disulfide as acceptor.\n1.17. 5.-    With a quinone or similar compound as acceptor.\n1.17. 7.-    With an iron-sulfur protein as acceptor.\n1.17. 8.-    With a flavin as acceptor.\n1.17. 9.-    With a copper protein as acceptor.\n1.17.98.-    With other, known, acceptors.\n1.17.99.-    With other acceptors.\n1.18. -.-   Acting on iron-sulfur proteins as donors.\n1.18. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.18. 2.-    With dinitrogen as acceptor.\n1.18. 3.-    With H(+) as acceptor.\n1.18. 6.-    With dinitrogen as acceptor.\n1.18.96.-    With other, known, acceptors.\n1.18.99.-    With H(+) as acceptor.\n1.19. -.-   Acting on reduced flavodoxin as donor.\n1.19. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.19. 6.-    With dinitrogen as acceptor.\n1.20. -.-   Acting on phosphorus or arsenic in donors.\n1.20. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.20. 2.-    With a cytochrome as acceptor.\n1.20. 4.-    With disulfide as acceptor.\n1.20. 9.-    With a copper protein as acceptor.\n1.20.98.-    With other, known acceptors.\n1.20.99.-    With other acceptors.\n1.21. -.-   Catalyzing the reaction X-H + Y-H = 'X-Y'.\n1.21. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.21. 3.-    With oxygen as acceptor.\n1.21. 4.-    With a disulfide as acceptor.\n1.21.98.-    With other, known acceptors.\n1.21.99.-    With other acceptors.\n1.22. -.-   Acting on halogen in donors.\n1.22. 1.-    With NAD(+) or NADP(+) as acceptor.\n1.23. -.-   Reducing C-O-C group as acceptor.\n1.23. 1.-    With NADH or NADPH as donor.\n1.23. 5.-    With a quinone or similar compound as acceptor.\n1.97. -.-   Other oxidoreductases.\n1.97. 1.-    Other oxidoreductases.\n1.98. -.-   Enzymes using H(2) as reductant.\n1.98. 1.-    Other oxidoreductases.\n1.99. -.-   Other enzymes using O(2) as oxidant.\n1.99. 1.-    Hydroxylases.\n1.99. 2.-    Oxygenases.\n\n2. -. -.-  Transferases.\n2. 1. -.-   Transferring one-carbon groups.\n2. 1. 1.-    Methyltransferases.\n2. 1. 2.-    Hydroxymethyl-, formyl- and related transferases.\n2. 1. 3.-    Carboxy- and carbamoyltransferases.\n2. 1. 4.-    Amidinotransferases.\n2. 1. 5.-    Methylenetransferases.\n2. 2. -.-   Transferring aldehyde or ketonic groups.\n2. 2. 1.-    Transketolases and transaldolases.\n2. 3. -.-   Acyltransferases.\n2. 3. 1.-    Transferring groups other than amino-acyl groups.\n2. 3. 2.-    Aminoacyltransferases.\n2. 3. 3.-    Acyl groups converted into alkyl groups on transfer.\n2. 4. -.-   Glycosyltransferases.\n2. 4. 1.-    Hexosyltransferases.\n2. 4. 2.-    Pentosyltransferases.\n2. 4.99.-    Transferring other glycosyl groups.\n2. 5. -.-   Transferring alkyl or aryl groups, other than methyl groups.\n2. 5. 1.-    Transferring alkyl or aryl groups, other than methyl groups.\n2. 6. -.-   Transferring nitrogenous groups.\n2. 6. 1.-    Transaminases.\n2. 6. 2.-    Amidinotransferases.\n2. 6. 3.-    Oximinotransferases.\n2. 6.99.-    Transferring other nitrogenous groups.\n2. 7. -.-   Transferring phosphorus-containing groups.\n2. 7. 1.-    Phosphotransferases with an alcohol group as acceptor.\n2. 7. 2.-    Phosphotransferases with a carboxy group as acceptor.\n2. 7. 3.-    Phosphotransferases with a nitrogenous group as acceptor.\n2. 7. 4.-    Phosphotransferases with a phosphate group as acceptor.\n2. 7. 5.-    Phosphotransferases with regeneration of donors, apparently catalyzing intramolecular transfers.\n2. 7. 6.-    Diphosphotransferases.\n2. 7. 7.-    Nucleotidyltransferases.\n2. 7. 8.-    Transferases for other substituted phosphate groups.\n2. 7. 9.-    Phosphotransferases with paired acceptors.\n2. 7.10.-    Protein-tyrosine kinases.\n2. 7.11.-    Protein-serine/threonine kinases.\n2. 7.12.-    Dual-specificity kinases (those acting on Ser/Thr and Tyr residues).\n2. 7.13.-    Protein-histidine kinases.\n2. 7.14.-    Protein-arginine kinases.\n2. 7.99.-    Other protein kinases.\n2. 8. -.-   Transferring sulfur-containing groups.\n2. 8. 1.-    Sulfurtransferases.\n2. 8. 2.-    Sulfotransferases.\n2. 8. 3.-    CoA-transferases.\n2. 8. 4.-    Transferring alkylthio groups.\n2. 8. 5.-    Thiosulfotransferases.\n2. 9. -.-   Transferring selenium-containing groups.\n2. 9. 1.-    Selenotransferases.\n2.10. -.-   Transferring molybdenum- or tungsten-containing groups.\n2.10. 1.-    Molybdenumtransferases or tungstentransferases with sulfide groups as acceptors.\n\n3. -. -.-  Hydrolases.\n3. 1. -.-   Acting on ester bonds.\n3. 1. 1.-    Carboxylic ester hydrolases.\n3. 1. 2.-    Thiolester hydrolases.\n3. 1. 3.-    Phosphoric monoester hydrolases.\n3. 1. 4.-    Phosphoric diester hydrolases.\n3. 1. 5.-    Triphosphoric monoester hydrolases.\n3. 1. 6.-    Sulfuric ester hydrolases.\n3. 1. 7.-    Diphosphoric monoester hydrolases.\n3. 1. 8.-    Phosphoric triester hydrolases.\n3. 1.11.-    Exodeoxyribonucleases producing 5'-phosphomonoesters.\n3. 1.12.-    Exodeoxyribonucleases producing 3'-phosphomonoesters.\n3. 1.13.-    Exoribonucleases producing 5'-phosphomonoesters.\n3. 1.14.-    Exoribonucleases producing 3'-phosphomonoesters.\n3. 1.15.-    Exonucleases active with either ribo- or deoxyribonucleic acids and producing 5'-phosphomonoesters.\n3. 1.16.-    Exonucleases active with either ribo- or deoxyribonucleic acids and producing 3'-phosphomonoesters.\n3. 1.21.-    Endodeoxyribonucleases producing 5'-phosphomonoesters.\n3. 1.22.-    Endodeoxyribonucleases producing other than 5'-phosphomonoesters.\n3. 1.23.-    Site specific endodeoxyribonucleases: cleavage is sequence specific.\n3. 1.24.-    Site specific endodeoxyribonucleases: cleavage is not sequence specific.\n3. 1.25.-    Site-specific endodeoxyribonucleases specific for altered bases.\n3. 1.26.-    Endoribonucleases producing 5'-phosphomonoesters.\n3. 1.27.-    Endoribonucleases producing other than 5'-phosphomonoesters.\n3. 1.30.-    Endoribonucleases active with either ribo- or deoxyribonucleic acids and producing 5'-phosphomonoesters.\n3. 1.31.-    Endoribonucleases active with either ribo- or deoxyribonucleic acids and producing 3'-phosphomonoesters.\n3. 2. -.-   Glycosylases.\n3. 2. 1.-    Glycosidases, i.e. enzymes hydrolyzing O- and S-glycosyl compounds.\n3. 2. 2.-    Hydrolyzing N-glycosyl compounds.\n3. 2. 3.-    Hydrolyzing S-glycosyl compounds.\n3. 3. -.-   Acting on ether bonds.\n3. 3. 1.-    Thioether and trialkylsulfonium hydrolases.\n3. 3. 2.-    Ether hydrolases.\n3. 4. -.-   Acting on peptide bonds (peptidases).\n3. 4. 1.-    alpha-Amino-acyl-peptide hydrolases.\n3. 4. 2.-    Peptidyl-amino-acid hydrolases.\n3. 4. 3.-    Dipeptide hydrolases.\n3. 4. 4.-    Peptidyl peptide hydrolases.\n3. 4.11.-    Aminopeptidases.\n3. 4.12.-    Peptidylamino-acid hydrolases or acylamino-acid hydrolases.\n3. 4.13.-    Dipeptidases.\n3. 4.14.-    Dipeptidyl-peptidases and tripeptidyl-peptidases.\n3. 4.15.-    Peptidyl-dipeptidases.\n3. 4.16.-    Serine-type carboxypeptidases.\n3. 4.17.-    Metallocarboxypeptidases.\n3. 4.18.-    Cysteine-type carboxypeptidases.\n3. 4.19.-    Omega peptidases.\n3. 4.21.-    Serine endopeptidases.\n3. 4.22.-    Cysteine endopeptidases.\n3. 4.23.-    Aspartic endopeptidases.\n3. 4.24.-    Metalloendopeptidases.\n3. 4.25.-    Threonine endopeptidases.\n3. 4.99.-    Endopeptidases of unknown catalytic mechanism.\n3. 5. -.-   Acting on carbon-nitrogen bonds, other than peptide bonds.\n3. 5. 1.-    In linear amides.\n3. 5. 2.-    In cyclic amides.\n3. 5. 3.-    In linear amidines.\n3. 5. 4.-    In cyclic amidines.\n3. 5. 5.-    In nitriles.\n3. 5.99.-    In other compounds.\n3. 6. -.-   Acting on acid anhydrides.\n3. 6. 1.-    In phosphorus-containing anhydrides.\n3. 6. 2.-    In sulfonyl-containing anhydrides.\n3. 6. 3.-    Acting on acid anhydrides; catalyzing transmembrane movement of substances.\n3. 6. 4.-    Acting on ATP; involved in cellular and subcellular movement.\n3. 6. 5.-    Acting on GTP; involved in cellular and subcellular movement.\n3. 7. -.-   Acting on carbon-carbon bonds.\n3. 7. 1.-    In ketonic substances.\n3. 8. -.-   Acting on halide bonds.\n3. 8. 1.-    In C-halide compounds.\n3. 8. 2.-    In P-halide compounds.\n3. 9. -.-   Acting on phosphorus-nitrogen bonds.\n3. 9. 1.-    Acting on phosphorus-nitrogen bonds.\n3.10. -.-   Acting on sulfur-nitrogen bonds.\n3.10. 1.-    Acting on sulfur-nitrogen bonds.\n3.11. -.-   Acting on carbon-phosphorus bonds.\n3.11. 1.-    Acting on carbon-phosphorus bonds.\n3.12. -.-   Acting on sulfur-sulfur bonds.\n3.12. 1.-    Acting on sulfur-sulfur bonds.\n3.13. -.-   Acting on carbon-sulfur bonds.\n3.13. 1.-    Acting on carbon-sulfur bonds.\n\n4. -. -.-  Lyases.\n4. 1. -.-   Carbon-carbon lyases.\n4. 1. 1.-    Carboxy-lyases.\n4. 1. 2.-    Aldehyde-lyases.\n4. 1. 3.-    Oxo-acid-lyases.\n4. 1.99.-    Other carbon-carbon lyases.\n4. 2. -.-   Carbon-oxygen lyases.\n4. 2. 1.-    Hydro-lyases.\n4. 2. 2.-    Acting on polysaccharides.\n4. 2. 3.-    Acting on phosphates.\n4. 2.99.-    Other carbon-oxygen lyases.\n4. 3. -.-   Carbon-nitrogen lyases.\n4. 3. 1.-    Ammonia-lyases.\n4. 3. 2.-    Lyases acting on amides, amidines, etc.\n4. 3. 3.-    Amine-lyases.\n4. 3.99.-    Other carbon-nitrogen lyases.\n4. 4. -.-   Carbon-sulfur lyases.\n4. 4. 1.-    Carbon-sulfur lyases.\n4. 5. -.-   Carbon-halide lyases.\n4. 5. 1.-    Carbon-halide lyases.\n4. 6. -.-   Phosphorus-oxygen lyases.\n4. 6. 1.-    Phosphorus-oxygen lyases.\n4. 7. -.-   Carbon-phosphorus lyases.\n4. 7. 1.-    Carbon-phosphorus lyases.\n4.99. -.-   Other lyases.\n4.99. 1.-    Other lyases.\n\n5. -. -.-  Isomerases.\n5. 1. -.-   Racemases and epimerases.\n5. 1. 1.-    Acting on amino acids and derivatives.\n5. 1. 2.-    Acting on hydroxy acids and derivatives.\n5. 1. 3.-    Acting on carbohydrates and derivatives.\n5. 1.99.-    Acting on other compounds.\n5. 2. -.-   Cis-trans-isomerases.\n5. 2. 1.-    Cis-trans isomerases.\n5. 3. -.-   Intramolecular oxidoreductases.\n5. 3. 1.-    Interconverting aldoses and ketoses.\n5. 3. 2.-    Interconverting keto- and enol-groups.\n5. 3. 3.-    Transposing C=C bonds.\n5. 3. 4.-    Transposing S-S bonds.\n5. 3.99.-    Other intramolecular oxidoreductases.\n5. 4. -.-   Intramolecular transferases.\n5. 4. 1.-    Transferring acyl groups.\n5. 4. 2.-    Phosphotransferases (phosphomutases).\n5. 4. 3.-    Transferring amino groups.\n5. 4. 4.-    Transferring hydroxy groups.\n5. 4.99.-    Transferring other groups.\n5. 5. -.-   Intramolecular lyases.\n5. 5. 1.-    Intramolecular lyases.\n5. 6. -.-   Isomerases altering macromolecular conformation.\n5. 6. 1.-    Enzymes altering polypeptide conformation or assembly.\n5. 6. 2.-    Enzymes altering nucleic acid conformation.\n5.99. -.-   Other isomerases.\n5.99. 1.-    Other isomerases.\n\n6. -. -.-  Ligases.\n6. 1. -.-   Forming carbon-oxygen bonds.\n6. 1. 1.-    Ligases forming aminoacyl-tRNA and related compounds.\n6. 1. 2.-    Acid--alcohol ligases (ester synthases).\n6. 1. 3.-    Cyclo-ligases.\n6. 2. -.-   Forming carbon-sulfur bonds.\n6. 2. 1.-    Acid--thiol ligases.\n6. 3. -.-   Forming carbon-nitrogen bonds.\n6. 3. 1.-    Acid--ammonia (or amine) ligases (amide synthases).\n6. 3. 2.-    Acid--amino-acid ligases (peptide synthases).\n6. 3. 3.-    Cyclo-ligases.\n6. 3. 4.-    Other carbon--nitrogen ligases.\n6. 3. 5.-    Carbon--nitrogen ligases with glutamine as amido-N-donor.\n6. 4. -.-   Forming carbon-carbon bonds.\n6. 4. 1.-    Forming carbon-carbon bonds.\n6. 5. -.-   Forming phosphoric ester bonds.\n6. 5. 1.-    Forming phosphoric ester bonds.\n6. 6. -.-   Forming nitrogen-metal bonds.\n6. 6. 1.-    Forming coordination complexes.\n\n7. -. -.-  Translocases.\n7. 1. -.-   Catalysing the translocation of hydrons.\n7. 1. 1.-    Hydron translocation or charge separation linked to oxidoreductase reactions.\n7. 1. 2.-    Hydron translocation linked to the hydrolysis of a nucleoside triphosphate.\n7. 1. 3.-    Hydron translocation linked to the hydrolysis of diphosphate.\n7. 2. -.-   Catalysing the translocation of inorganic cations.\n7. 2. 1.-    Linked to oxidoreductase reactions.\n7. 2. 2.-    Linked to the hydrolysis of a nucleoside triphosphate.\n7. 2. 3.-    Linked to the hydrolysis of diphosphate.\n7. 2. 4.-    Linked to decarboxylation.\n7. 3. -.-   Catalysing the translocation of inorganic anions and their chelates.\n7. 3. 2.-    Linked to the hydrolysis of a nucleoside triphosphate.\n7. 4. -.-   Catalysing the translocation amino acids and peptides.\n7. 4. 2.-    Linked to the hydrolysis of a nucleoside triphosphate.\n7. 5. -.-   Catalysing the translocation carbohydrates and their derivatives.\n7. 5. 2.-    Linked to the hydrolysis of a nucleoside triphosphate.\n7. 6. -.-   Catalysing the translocation of other compounds.\n7. 6. 2.-    Linked to the hydrolysis of a nucleoside triphosphate.\n\n---------------------------------------------------------------------------\nCopyrighted by the SIB Swiss Institute of Bioinformatics and\ndistributed under the Creative Commons Attribution (CC BY 4.0) License\n---------------------------------------------------------------------------\n"
  },
  {
    "path": "testdata/label_vocab.tsv",
    "content": "vocab_item\tvocab_index\nGO:GO:0005737\t0\nGO:GO:0005524\t1\nGO:GO:0006457\t2\nGO:GO:0020038\t3\nGO:GO:0020039\t4\nGO:GO:0020040\t5\nGO:GO:0020041\t6\nGO:GO:0020042\t7\nGO:GO:0020043\t8\nGO:GO:0020044\t9\nGO:GO:0020045\t10\n"
  },
  {
    "path": "testdata/test_hemoglobin.fasta",
    "content": ">sp|P69891|HBG1_HUMAN Hemoglobin subunit gamma-1 OS=Homo sapiens OX=9606 GN=HBG1 PE=1 SV=2\nMGHFTEEDKATITSLWGKVNVEDAGGETLGRLLVVYPWTQRFFDSFGNLSSASAIMGNPK\nVKAHGKKVLTSLGDAIKHLDDLKGTFAQLSELHCDKLHVDPENFKLLGNVLVTVLAIHFG\nKEFTPEVQASWQKMVTAVASALSSRYH\n>sp|Q7AP54|HBP2_LISMO Hemin/hemoglobin-binding protein 2 OS=Listeria monocytogenes serovar 1/2a (strain ATCC BAA-679 / EGD-e) OX=169963 GN=hbp2 PE=1 SV=1\nMKKLWKKGLVAFLALTLIFQLIPGFASAADSRLKDGGEYQVQVNFYKDNTGKTTKESSEA\nDKYIDHTATIKVENGQPYMYLTITNSTWWQTMAVSKNGTRPEKPAQADVYQDRYEDVQTV\nSTDAAKDTRVEKFKLSSLDDVIFSYMHIKVDAISYDHWYQVDLTIDPSTFKVISEPAVTT\nPVTLSDGIYTIPFVAKKANDDSNSSMQNYFNNPAWLKVKNGKKMVAMTVNDNKTVTALKT\nTLAGTLQDVKVVSEDKDANTRIVEFEVEDLNQPLAAHVNYEAPFNGSVYKGQADFRYVFD\nTAKATAASSYPGSDETPPVVNPGETNPPVTKPDPGTTNPPVTTPPTTPSKPAVVDPKNLL\nNNHTYSIDFDVFKDGTTETSMMESYVMKPALIKVENNQPYVYLTLTNSSWIKTFQYKVNG\nVWKDMEVVSGDINKNTRTVKYPVKDGTANTDVKTHVLIEDMPGFSYDHEYTVQVKLNAAT\nIKDITGKDVTLKEPVKKDILNTGNVASNNNAGPKLAKPDFDDTNSVQKTASKTEKNAKTN\nDSSSMVWYITLFGASFLYLAYRLKRKRLS"
  },
  {
    "path": "train.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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# pylint: disable=line-too-long\nr\"\"\"Train a model to predict protein labels.\n\nExample use:\n\npython train.py --data_base_path=./testdata/ \\\n--label_vocab_path=./data/vocabs/EC.tsv \\\n--hparams_set=small_test_model \\\n--output_dir=/tmp/`date +'%s'`\n\n\"\"\"\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nfrom absl import app\nfrom absl import flags\nfrom absl import logging\nimport pandas as pd\nimport hparams_sets\nimport protein_dataset\nimport protein_model\nimport utils\nimport tensorflow.compat.v1 as tf\n\nflags.DEFINE_string(\n    'data_base_path', None,\n    'Directory path containing tfrecords named like \"train\", \"dev\" and \"test\"')\n\nflags.DEFINE_string('label_vocab_path', None,\n                    'Relative path (from this file) to csv file of labels.')\n\nflags.DEFINE_string('output_dir', '/tmp/protein_model',\n                    'Path to save checkpoints.')\n\nflags.DEFINE_string('hparams_set', hparams_sets.small_test_model.__name__,\n                    'Hyperparameters to use (see hparams_sets module).')\n\nflags.DEFINE_enum(\n    'train_fold', protein_dataset.TRAIN_FOLD, protein_dataset.DATA_FOLD_VALUES,\n    'Fold to use for training data '\n    '(one of protein_dataset.DATA_FOLD_VALUES)')\n\nflags.DEFINE_enum(\n    'eval_fold', protein_dataset.TEST_FOLD, protein_dataset.DATA_FOLD_VALUES,\n    'Fold to use for training data '\n    '(one of protein_dataset.DATA_FOLD_VALUES)')\n\nFLAGS = flags.FLAGS\n\n_VOCAB_ITEM_COLUMN_NAME = 'vocab_item'\n_VOCAB_INDEX_COLUMN_NAME = 'vocab_index'\n\n\ndef _make_estimator(hparams, label_vocab, output_dir):\n  \"\"\"Create a tf.estimator.Estimator.\n\n  Args:\n    hparams: tf.contrib.training.HParams.\n    label_vocab: list of string.\n    output_dir: str. Path to save checkpoints.\n\n  Returns:\n    tf.estimator.Estimator.\n  \"\"\"\n  model_fn = protein_model.make_model_fn(\n      label_vocab=label_vocab, hparams=hparams)\n  run_config = tf.estimator.RunConfig(model_dir=output_dir)\n\n  estimator = tf.estimator.Estimator(\n      model_fn=model_fn,\n      params=hparams,\n      config=run_config,\n  )\n\n  return estimator\n\n\ndef get_serving_input_fn():\n  \"\"\"Create an input function for serving.\"\"\"\n\n  def serving_input_fn():\n    \"\"\"Input function for serving.\"\"\"\n    batched_one_hot_sequences = tf.placeholder(\n        tf.float32,\n        shape=[None, None, len(utils.AMINO_ACID_VOCABULARY)],\n        name='batched_one_hot_sequences_placeholder')\n\n    sequence_lengths = tf.placeholder(\n        tf.int32,\n        shape=[None],\n        name='sequence_length_placeholder',\n    )\n\n    receivers = {\n        protein_dataset.SEQUENCE_KEY: batched_one_hot_sequences,\n        protein_dataset.SEQUENCE_LENGTH_KEY: sequence_lengths\n    }\n    features = {\n        protein_dataset.SEQUENCE_KEY: batched_one_hot_sequences,\n        protein_dataset.SEQUENCE_LENGTH_KEY: sequence_lengths\n    }\n\n    input_receiver = tf.estimator.export.ServingInputReceiver(\n        features=features, receiver_tensors=receivers)\n    return input_receiver\n\n  return serving_input_fn\n\n\ndef _make_estimator_and_inputs(hparams, label_vocab, data_base_path, output_dir,\n                               train_fold, eval_fold):\n  \"\"\"Makes Estimator and input_fn for train and eval.\n\n  Args:\n    hparams: tf.contrib.training.HParams.\n    label_vocab: list of string.\n    data_base_path: str. Directory path containing tfrecords named like \"train\",\n      \"dev\" and \"test\"\n    output_dir: str. Path to save checkpoints.\n    train_fold: fold to use for training data (one of\n          protein_dataset.DATA_FOLD_VALUES)\n    eval_fold: fold to use for training data (one of\n          protein_dataset.DATA_FOLD_VALUES)\n  Returns:\n    A tuple of estimator, train_spec and eval_spec\n  \"\"\"\n\n  estimator = _make_estimator(\n      hparams=hparams, label_vocab=label_vocab, output_dir=output_dir)\n\n  logging.info('Loading data from %s', data_base_path)\n  logging.info('Writing to directory %s', output_dir)\n  train_input_fn = protein_dataset.make_input_fn(\n      data_file_pattern=data_base_path,\n      batch_size=hparams.batch_size,\n      label_vocab=label_vocab,\n      train_dev_or_test=train_fold)\n\n  train_spec = tf.estimator.TrainSpec(\n      train_input_fn, max_steps=hparams.train_steps)\n\n  eval_input_fn = protein_dataset.make_input_fn(\n      data_file_pattern=data_base_path,\n      batch_size=hparams.batch_size,\n      label_vocab=label_vocab,\n      train_dev_or_test=eval_fold)\n  savedmodel_exporters = [\n      tf.estimator.LatestExporter(\n          name='saved_model',\n          serving_input_receiver_fn=get_serving_input_fn(),\n          exports_to_keep=1)\n  ]\n  eval_spec = tf.estimator.EvalSpec(\n      input_fn=eval_input_fn,\n      throttle_secs=1,\n      exporters=savedmodel_exporters,\n  )\n\n  return estimator, train_spec, eval_spec\n\n\ndef get_hparams(hparams_set_name):\n  \"\"\"Retrieves a tf.contrib.training.HParams from the hparam_sets module.\n\n  Args:\n    hparams_set_name: name of a function in the hparams_sets module returning a\n      tf.contrib.training.HParams object.\n\n  Returns:\n    tf.contrib.training.HParams.\n  \"\"\"\n  return getattr(hparams_sets, hparams_set_name)()\n\n\ndef parse_label_vocab(label_vocab_path):\n  \"\"\"Returns np.array of strings (labels).\n\n  Args:\n    label_vocab_path: str. Path to tsv file containing columns\n      _VOCAB_ITEM_COLUMN_NAME and _VOCAB_INDEX_COLUMN_NAME. See\n      testdata/label_vocab.tsv for an example.\n\n  Returns:\n    np.array of str. Labels are sorted by values in column\n    _VOCAB_INDEX_COLUMN_NAME.\n  \"\"\"\n  with tf.gfile.GFile(label_vocab_path) as f:\n    label_df = pd.read_csv(f, sep='\\t')\n\n  available_indexes = label_df[_VOCAB_INDEX_COLUMN_NAME].values\n  if set(available_indexes) != set(range(len(available_indexes))):\n    raise ValueError('Vocab indexes were not the consecutive integers between '\n                     '0 (inclusive) and len(vocab) (exclusive). '\n                     'Got {}.'.format(sorted(available_indexes)))\n\n  return label_df.sort_values(\n      [_VOCAB_INDEX_COLUMN_NAME])[_VOCAB_ITEM_COLUMN_NAME].values\n\n\ndef train(data_base_path, output_dir, label_vocab_path, hparams_set_name,\n          train_fold, eval_fold):\n  \"\"\"Constructs trains, and evaluates a model on the given input data.\n\n  Args:\n    data_base_path: str. Directory path containing tfrecords named like \"train\",\n      \"dev\" and \"test\"\n    output_dir: str. Path to save checkpoints.\n    label_vocab_path: str. Path to tsv file containing columns\n      _VOCAB_ITEM_COLUMN_NAME and _VOCAB_INDEX_COLUMN_NAME. See\n      testdata/label_vocab.tsv for an example.\n    hparams_set_name: name of a function in the hparams module which returns a\n      tf.contrib.training.HParams object.\n    train_fold: fold to use for training data (one of\n          protein_dataset.DATA_FOLD_VALUES)\n    eval_fold: fold to use for training data (one of\n          protein_dataset.DATA_FOLD_VALUES)\n\n  Returns:\n    A tuple of the evaluation metrics, and the exported objects from Estimator.\n  \"\"\"\n  hparams = get_hparams(hparams_set_name)\n  label_vocab = parse_label_vocab(label_vocab_path)\n  (estimator, train_spec, eval_spec) = _make_estimator_and_inputs(\n      hparams=hparams,\n      label_vocab=label_vocab,\n      data_base_path=data_base_path,\n      output_dir=output_dir,\n      train_fold=train_fold,\n      eval_fold=eval_fold)\n  return tf.estimator.train_and_evaluate(\n      estimator=estimator, train_spec=train_spec, eval_spec=eval_spec)\n\n\ndef main(_):\n  train(\n      data_base_path=FLAGS.data_base_path,\n      output_dir=FLAGS.output_dir,\n      label_vocab_path=FLAGS.label_vocab_path,\n      hparams_set_name=FLAGS.hparams_set,\n      train_fold=FLAGS.train_fold,\n      eval_fold=FLAGS.eval_fold)\n\n\nif __name__ == '__main__':\n  FLAGS.alsologtostderr = True  # Shows training output.\n  flags.mark_flags_as_required(['data_base_path', 'label_vocab_path'])\n\n  app.run(main)\n"
  },
  {
    "path": "train_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Tests for train.py.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nimport os\nimport tempfile\n\nfrom absl import flags\nfrom absl.testing import parameterized\nimport numpy as np\nimport hparams_sets\nimport protein_dataset\nimport train\nimport tensorflow.compat.v1 as tf\n\nFLAGS = flags.FLAGS\n\n\nclass TrainTest(parameterized.TestCase):\n\n  def setUp(self):\n    super(TrainTest, self).setUp()\n    self._test_data_directory = os.path.join(\n        FLAGS.test_srcdir,\n        './testdata'\n    )\n\n  def test_parse_label_vocab(self):\n    label_vocab_path = os.path.join(self._test_data_directory,\n                                    'label_vocab.tsv')\n    actual = train.parse_label_vocab(label_vocab_path)\n    expected = np.array([\n        'GO:GO:0005737', 'GO:GO:0005524', 'GO:GO:0006457', 'GO:GO:0020038',\n        'GO:GO:0020039', 'GO:GO:0020040', 'GO:GO:0020041', 'GO:GO:0020042',\n        'GO:GO:0020043', 'GO:GO:0020044', 'GO:GO:0020045'\n    ])\n    np.testing.assert_array_equal(actual, expected)\n\n  def test_train_gives_non_nan_loss(self):\n    output_dir = tempfile.mkdtemp('test_model_output')\n\n    evaluation_results, export_results = train.train(\n        data_base_path=self._test_data_directory,\n        output_dir=output_dir,\n        label_vocab_path=os.path.join(self._test_data_directory,\n                                      'label_vocab.tsv'),\n        hparams_set_name=hparams_sets.small_test_model.__name__,\n        train_fold=protein_dataset.TRAIN_FOLD,\n        eval_fold=protein_dataset.TEST_FOLD)\n\n    self.assertTrue(np.isfinite(evaluation_results['loss']))\n\n    saved_model_path = export_results[0]\n    # Check we can load the saved_model without exceptions:\n    with tf.Session(graph=tf.Graph()) as sess:\n      tf.saved_model.loader.load(sess, [tf.saved_model.tag_constants.SERVING],\n                                 saved_model_path)\n      label_vocab = tf.get_default_graph().get_tensor_by_name('label_vocab:0')\n      self.assertLen(label_vocab.shape, 1)\n      decision_threshold = sess.run(\n          tf.get_default_graph().get_tensor_by_name('decision_threshold:0'))\n      self.assertGreater(decision_threshold, 0)\n      self.assertLess(decision_threshold, 1)\n\n\nif __name__ == '__main__':\n  tf.test.main()\n"
  },
  {
    "path": "utils.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Utility functions for protein models.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport functools\nimport gzip\nimport json\nimport os\nimport tarfile\nfrom typing import (Callable, List, Optional, Text)\nimport urllib\n\nimport numpy as np\nimport tensorflow.compat.v1 as tf  # tf\nfrom tensorflow.contrib import lookup as contrib_lookup\nimport tqdm\n\n\nAMINO_ACID_VOCABULARY = [\n    'A', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'K', 'L', 'M', 'N', 'P', 'Q', 'R',\n    'S', 'T', 'V', 'W', 'Y'\n]\n\n_PFAM_GAP_CHARACTER = '.'\n\n# Other characters representing amino-acids not in AMINO_ACID_VOCABULARY.\n_ADDITIONAL_AA_VOCABULARY = [\n    # Substitutions\n    'U',\n    'O',\n    # Ambiguous Characters\n    'B',\n    'Z',\n    'X',\n    # Gap Character\n    _PFAM_GAP_CHARACTER\n]\n\n# Vocab of all possible tokens in a valid input sequence\nFULL_RESIDUE_VOCAB = AMINO_ACID_VOCABULARY + _ADDITIONAL_AA_VOCABULARY\n\n# Map AA characters to their index in FULL_RESIDUE_VOCAB.\n_RESIDUE_TO_INT = {aa: idx for idx, aa in enumerate(FULL_RESIDUE_VOCAB)}\n\nOSS_ZIPPED_MODELS_ROOT_URL = 'https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/models/zipped_models/'\n_OSS_PFAM_ZIPPED_MODELS_URL_BASE = OSS_ZIPPED_MODELS_ROOT_URL + 'noxpd2_cnn_swissprot_pfam_random_swiss-cnn_for_swissprot_pfam_random-'\n_OSS_EC_ZIPPED_MODELS_URL_BASE = OSS_ZIPPED_MODELS_ROOT_URL + 'noxpd2_cnn_swissprot_ec_random_swiss-cnn_for_swissprot_ec_random-'\n_OSS_GO_ZIPPED_MODELS_URL_BASE = OSS_ZIPPED_MODELS_ROOT_URL + 'noxpd2_cnn_swissprot_go_random_swiss-cnn_for_swissprot_go_random-'\n\nMAX_NUM_ENSEMBLE_ELS_FOR_INFERENCE = 5\n\nPARENTHOOD_FILE_URL = 'https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/parenthood.json.gz'\nLABEL_DESCRIPTION_URL = 'https://storage.googleapis.com/brain-genomics-public/research/proteins/proteinfer/colab_support/label_descriptions.json.gz'\nINSTALLED_PARENTHOOD_FILE_NAME = 'parenthood.json.gz'\nINSTALLED_LABEL_DESCRIPTION_FILE_NAME = 'label_descriptions.json.gz'\n\n# pyformat: disable\nPFAM_RANDOM_ENSEMBLE_ELEMENT_EXPERIMENT_IDS = [\n    '13703743', '13703976', '13704038', '13704097', '13704156', '13705318',\n    '13705635', '13705680', '13705733', '13705759', '13705805', '13706336',\n    '13707555', '13707708', '13707739', '13707862', '13708715', '13708866',\n    '13709033', '13709258', '13709363', '13709600', '13709998', '13710430',\n    '13711765', '13729975', '13730021', '13730128', '13730776', '13730885',\n    '13731191', '13731551', '13731565', '13731695', '13732031',\n]\n\nEC_RANDOM_ENSEMBLE_ELEMENT_EXPERIMENT_IDS = [\n    '13703966', '13704083', '13704104', '13704130', '13705280', '13705675',\n    '13705786', '13705802', '13705819', '13705839', '13706239', '13706986',\n    '13707020', '13707589', '13707925', '13708369', '13708672', '13708706',\n    '13708740', '13708951', '13709242', '13709584', '13709983', '13710037',\n    '13711670', '13729344', '13730041', '13730097', '13730679', '13730876',\n    '13730909', '13731218', '13731588', '13731728', '13731976',\n]\n\nGO_RANDOM_ENSEMBLE_ELEMENT_EXPERIMENT_IDS = [\n    '13703706', '13703742', '13703997', '13704131', '13705631', '13705668',\n    '13705677', '13705689', '13705708', '13705728', '13706170', '13706215',\n    '13707414', '13707438', '13707732', '13708169', '13708676', '13708925',\n    '13708995', '13709052', '13709428', '13709589', '13710370', '13710418',\n    '13711677', '13729352', '13730011', '13730387', '13730746', '13730766',\n    '13730958', '13731179', '13731598', '13731645', '13732022',\n]\n# pyformat: enable\n\nOSS_PFAM_ZIPPED_MODELS_URLS = [\n    '{}{}.tar.gz'.format(_OSS_PFAM_ZIPPED_MODELS_URL_BASE, p)\n    for p in PFAM_RANDOM_ENSEMBLE_ELEMENT_EXPERIMENT_IDS\n]\nOSS_EC_ZIPPED_MODELS_URLS = [\n    '{}{}.tar.gz'.format(_OSS_EC_ZIPPED_MODELS_URL_BASE, p)\n    for p in EC_RANDOM_ENSEMBLE_ELEMENT_EXPERIMENT_IDS\n]\nOSS_GO_ZIPPED_MODELS_URLS = [\n    '{}{}.tar.gz'.format(_OSS_GO_ZIPPED_MODELS_URL_BASE, p)\n    for p in GO_RANDOM_ENSEMBLE_ELEMENT_EXPERIMENT_IDS\n]\n\n\ndef residues_to_indices(amino_acid_residues):\n  return [_RESIDUE_TO_INT[c] for c in amino_acid_residues]\n\n\ndef normalize_sequence_to_blosum_characters(seq):\n  \"\"\"Make substitutions, since blosum62 doesn't include amino acids U and O.\n\n  We take the advice from here for the appropriate substitutions:\n  https://www.cgl.ucsf.edu/chimera/docs/ContributedSoftware/multalignviewer/multalignviewer.html\n\n  Args:\n    seq: amino acid sequence. A string.\n\n  Returns:\n    An amino acid sequence string that's compatible with the blosum substitution\n    matrix.\n  \"\"\"\n  return seq.replace('U', 'C').replace('O', 'X')\n\n\n@functools.lru_cache(maxsize=1)\ndef _build_one_hot_encodings():\n  \"\"\"Create array of one-hot embeddings.\n\n  Row `i` of the returned array corresponds to the one-hot embedding of amino\n    acid FULL_RESIDUE_VOCAB[i].\n\n  Returns:\n    np.array of shape `[len(FULL_RESIDUE_VOCAB), 20]`.\n  \"\"\"\n  base_encodings = np.eye(len(AMINO_ACID_VOCABULARY))\n  to_aa_index = AMINO_ACID_VOCABULARY.index\n\n  special_mappings = {\n      'B':\n          .5 *\n          (base_encodings[to_aa_index('D')] + base_encodings[to_aa_index('N')]),\n      'Z':\n          .5 *\n          (base_encodings[to_aa_index('E')] + base_encodings[to_aa_index('Q')]),\n      'X':\n          np.ones(len(AMINO_ACID_VOCABULARY)) / len(AMINO_ACID_VOCABULARY),\n      _PFAM_GAP_CHARACTER:\n          np.zeros(len(AMINO_ACID_VOCABULARY)),\n  }\n  special_mappings['U'] = base_encodings[to_aa_index('C')]\n  special_mappings['O'] = special_mappings['X']\n  special_encodings = np.array(\n      [special_mappings[c] for c in _ADDITIONAL_AA_VOCABULARY])\n  return np.concatenate((base_encodings, special_encodings), axis=0)\n\n\ndef residues_to_one_hot(amino_acid_residues):\n  \"\"\"Given a sequence of amino acids, return one hot array.\n\n  Supports ambiguous amino acid characters B, Z, and X by distributing evenly\n  over possible values, e.g. an 'X' gets mapped to [.05, .05, ... , .05].\n\n  Supports rare amino acids by appropriately substituting. See\n  normalize_sequence_to_blosum_characters for more information.\n\n  Supports gaps and pads with the '.' and '-' characters; which are mapped to\n  the zero vector.\n\n  Args:\n    amino_acid_residues: string. consisting of characters from\n      AMINO_ACID_VOCABULARY\n\n  Returns:\n    A numpy array of shape (len(amino_acid_residues),\n     len(AMINO_ACID_VOCABULARY)).\n\n  Raises:\n    KeyError: if amino_acid_residues has a character not in FULL_RESIDUE_VOCAB.\n  \"\"\"\n  residue_encodings = _build_one_hot_encodings()\n  int_sequence = residues_to_indices(amino_acid_residues)\n  return residue_encodings[int_sequence]\n\n\ndef fasta_indexer():\n  \"\"\"Get a function for converting tokenized protein strings to indices.\"\"\"\n  mapping = tf.constant(FULL_RESIDUE_VOCAB)\n  table = contrib_lookup.index_table_from_tensor(mapping)\n\n  def mapper(residues):\n    return tf.ragged.map_flat_values(table.lookup, residues)\n\n  return mapper\n\n\ndef fasta_encoder():\n  \"\"\"Get a function for converting indexed amino acids to one-hot encodings.\"\"\"\n  encoded = residues_to_one_hot(''.join(FULL_RESIDUE_VOCAB))\n  one_hot_embeddings = tf.constant(encoded, dtype=tf.float32)\n\n  def mapper(residues):\n    return tf.ragged.map_flat_values(\n        tf.gather, indices=residues, params=one_hot_embeddings)\n\n  return mapper\n\n\ndef in_graph_residues_to_onehot(residues):\n  \"\"\"Performs mapping in `residues_to_one_hot` in-graph.\n\n  Args:\n    residues: A tf.RaggedTensor with tokenized residues.\n\n  Returns:\n    A tuple of tensors (one_hots, row_lengths):\n      `one_hots` is a Tensor<shape=[None, None, len(AMINO_ACID_VOCABULARY)],\n                             dtype=tf.float32>\n       that contains a one_hot encoding of the residues and pads out all the\n       residues to the max sequence length in the batch by 0s.\n       `row_lengths` is a Tensor<shape=[None], dtype=tf.int32> with the length\n       of the unpadded sequences from residues.\n\n  Raises:\n    tf.errors.InvalidArgumentError: if `residues` contains a token not in\n    `FULL_RESIDUE_VOCAB`.\n  \"\"\"\n  ragged_one_hots = fasta_encoder()(fasta_indexer()(residues))\n  return (ragged_one_hots.to_tensor(default_value=0),\n          tf.cast(ragged_one_hots.row_lengths(), dtype=tf.int32))\n\n\ndef calculate_bucket_batch_sizes(bucket_boundaries, max_expected_sequence_size,\n                                 largest_batch_size):\n  \"\"\"Calculated batch sizes for each bucket given a set of boundaries.\n\n  Sequences in the smallest sized bucket will get a batch_size of\n  largest_batch_size and larger buckets will have smaller batch sizes  in\n  proportion to their maximum sequence length to ensure that they do not use too\n  much memory.\n\n  E.g. for bucket_boundaries of [5, 10, 20, 40], max_expected_size of 100\n  and largest_batch_size of 50, expected_bucket_sizes are [50, 25, 12, 6, 2].\n\n  Args:\n    bucket_boundaries: list of positions of bucket boundaries\n    max_expected_sequence_size: largest expected sequence, used to calculate\n      sizes\n    largest_batch_size: batch_size for largest batches.\n\n  Returns:\n    batch_sizes as list\n  \"\"\"\n  first_max_size = bucket_boundaries[0]\n  bucket_relative_batch_sizes = [\n      (first_max_size / x)\n      for x in bucket_boundaries + [max_expected_sequence_size]\n  ]\n  bucket_absolute_batch_sizes = [\n      int(x * largest_batch_size) for x in bucket_relative_batch_sizes\n  ]\n  if min(bucket_absolute_batch_sizes) == 0:\n    raise ValueError(\n        'There would be a batch size of 0 during bucketing, which is not '\n        'allowed. Bucket boundaries passed in were: %s, leading to batch sizes of: %s'\n        % (bucket_boundaries, bucket_absolute_batch_sizes))\n  return bucket_absolute_batch_sizes\n\n\ndef batch_iterable(iterable, batch_size):\n  \"\"\"Yields batches from an iterable.\n\n  If the number of elements in the iterator is not a multiple of batch size,\n  the last batch will have fewer elements.\n\n  Args:\n    iterable: a potentially infinite iterable.\n    batch_size: the size of batches to return.\n\n  Yields:\n    array of length batch_size, containing elements, in order, from iterable.\n\n  Raises:\n    ValueError: if batch_size < 1.\n  \"\"\"\n  if batch_size < 1:\n    raise ValueError(\n        'Cannot have a batch size of less than 1. Received: {}'.format(\n            batch_size))\n\n  current = []\n  for item in iterable:\n    if len(current) == batch_size:\n      yield current\n      current = []\n    current.append(item)\n\n  # Prevent yielding an empty batch. Instead, prefer to end the generation.\n  if current:\n    yield current\n\n\ndef pad_one_hot(one_hot, length):\n  if length < one_hot.shape[0]:\n    raise ValueError(\"The padding value must be longer than the one-hot's 0th \"\n                     'dimension. Padding value is ' + str(length) + ' '\n                     'and one-hot shape is ' + str(one_hot.shape))\n  padding = np.zeros((length - one_hot.shape[0], len(AMINO_ACID_VOCABULARY)))\n  return np.append(one_hot, padding, axis=0)\n\n\ndef make_padded_np_array(ragged_arrays):\n  \"\"\"Converts ragged array of one-hot amino acids to constant-length np.array.\n\n  Args:\n    ragged_arrays: list of list of int. Each entry in the list is a one-hot\n      encoded protein, where each entry corresponds to an amino acid.\n\n  Returns:\n    np.array of int, shape (len(ragged_arrays),\n      len(longest_array_in_ragged_arrays), len(AMINO_ACID_VOCABULARY)).\n  \"\"\"\n  max_array_length = max(len(a) for a in ragged_arrays)\n  return np.array([\n      pad_one_hot(ragged_array, max_array_length)\n      for ragged_array in ragged_arrays\n  ])\n\n\ndef absolute_paths_of_files_in_dir(dir_path):\n  files = os.listdir(dir_path)\n  return sorted([os.path.join(dir_path, f) for f in files])\n\n\ndef load_gz_json(path):\n  with open(path, 'rb') as f:\n    with gzip.GzipFile(fileobj=f, mode='rb') as gzip_file:\n      return json.load(gzip_file)\n\n\ndef fetch_oss_pretrained_models(\n    model_type,\n    output_dir_path,\n    num_ensemble_elements = None):\n  \"\"\"Fetch, unzip, and untar a number of models to output_dir_path.\n\n  Does not store the tar.gz versions, just the unzipped ones.\n\n  Args:\n    model_type: one of Pfam, EC, or GO.\n    output_dir_path: output directory to which ensemble elements should be\n      written.\n    num_ensemble_elements: number of elements to fetch. If None, fetch all\n      available.\n\n  Raises:\n    ValueError if model_type is invalid, or num_ensemble_elements is too large.\n  \"\"\"\n  if model_type.lower() == 'pfam':\n    absolute_model_urls = OSS_PFAM_ZIPPED_MODELS_URLS\n  elif model_type.lower() == 'ec':\n    absolute_model_urls = OSS_EC_ZIPPED_MODELS_URLS\n  elif model_type.lower() == 'go':\n    absolute_model_urls = OSS_GO_ZIPPED_MODELS_URLS\n  else:\n    raise ValueError(\n        'Given model type {} was not valid. Valid model types are {}'.format(\n            model_type, ['Pfam', 'EC', 'GO']))\n\n  num_ensemble_elements = num_ensemble_elements if num_ensemble_elements is not None else len(\n      absolute_model_urls)\n\n  if num_ensemble_elements > len(absolute_model_urls):\n    raise ValueError(\n        'Requested {} ensemble elements, but only {} were available.'.format(\n            num_ensemble_elements, len(absolute_model_urls)))\n\n  absolute_model_urls = absolute_model_urls[:num_ensemble_elements]\n  for absolute_url in tqdm.tqdm(\n      absolute_model_urls,\n      desc='Downloading and unzipping {} models to {}'.format(\n          model_type, output_dir_path),\n      position=0,\n      leave=True):\n    # TODO(mlbileschi): consider parallelizing to make faster.\n\n    relative_file_name = os.path.basename(os.path.normpath(absolute_url))\n    output_path = os.path.join(output_dir_path, relative_file_name)\n\n    with urllib.request.urlopen(absolute_url) as url_contents:\n      with tarfile.open(fileobj=url_contents, mode='r|gz') as tar:\n        tar.extractall(output_dir_path)\n"
  },
  {
    "path": "utils_test.py",
    "content": "# coding=utf-8\n# Copyright 2020 The Google Research Authors.\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\"\"\"Tests for utils.py.\"\"\"\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport os\n\n\n\nfrom absl.testing import parameterized\nimport numpy as np\nimport utils\nimport tensorflow.compat.v1 as tf\n\n\nclass TestTensorUtils(parameterized.TestCase):\n\n  def testBucketSize(self):\n    max_expected_size = 100\n    bucket_boundaries = [5, 10, 20, 40]\n    largest_batch_size = 50\n    expected_bucket_sizes = [50, 25, 12, 6, 2]\n    actual_bucket_sizes = utils.calculate_bucket_batch_sizes(\n        bucket_boundaries, max_expected_size, largest_batch_size)\n    self.assertEqual(expected_bucket_sizes, actual_bucket_sizes)\n\n  @parameterized.parameters(\n      dict(input_iterable=[], batch_size=1, expected=[]),\n      dict(input_iterable=[], batch_size=2, expected=[]),\n      dict(input_iterable=[1], batch_size=1, expected=[[1]]),\n      dict(input_iterable=[1], batch_size=2, expected=[[1]]),\n      dict(input_iterable=[1, 2], batch_size=1, expected=[[1], [2]]),\n      dict(input_iterable=[1, 2], batch_size=2, expected=[[1, 2]]),\n      dict(input_iterable=[1, 2, 3], batch_size=2, expected=[[1, 2], [3]]),\n      dict(\n          input_iterable=[1, 2, 3, 4], batch_size=2, expected=[[1, 2], [3, 4]]),\n  )\n  def testBatchIterable(self, input_iterable, batch_size, expected):\n    actual = list(utils.batch_iterable(input_iterable, batch_size))\n\n    self.assertEqual(actual, expected)\n\n  def testSparseToOneHot(self):\n    seq = 'AY'\n    expected_output = [[\n        1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n        0., 0.\n    ],\n                       [\n                           0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n                           0., 0., 0., 0., 0., 0., 1.\n                       ]]\n    self.assertListEqual(expected_output,\n                         utils.residues_to_one_hot(seq).tolist())\n\n  @parameterized.named_parameters(\n      dict(\n          testcase_name='pad by nothing',\n          input_one_hot=np.array([[\n              1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n              0., 0., 0., 0.\n          ]]),\n          pad_length=1,\n          expected=np.array([[\n              1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n              0., 0., 0., 0.\n          ]])),\n      dict(\n          testcase_name='pad with one element',\n          input_one_hot=np.array([[\n              1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n              0., 0., 0., 0.\n          ]]),\n          pad_length=2,\n          expected=np.array([[\n              1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n              0., 0., 0., 0.\n          ],\n                             [\n                                 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n                                 0., 0., 0., 0., 0., 0., 0., 0.\n                             ]])),\n  )\n  def testPadOneHotSameLength(self, input_one_hot, pad_length, expected):\n    actual = utils.pad_one_hot(input_one_hot, pad_length)\n\n    self.assertTrue(\n        np.allclose(actual, expected),\n        msg='Actual: ' + str(actual) + '\\nExpected: ' + str(expected))\n\n  def test_absolute_paths_of_files_in_dir(self):\n    test_dir = self.create_tempdir().full_path\n    file_to_create = os.path.join(test_dir, 'a_file.txt')\n    with open(file_to_create, 'w'):\n      pass\n\n    expected = [file_to_create]\n\n    actual = utils.absolute_paths_of_files_in_dir(test_dir)\n\n    self.assertCountEqual(actual, expected)\n\n\nif __name__ == '__main__':\n  tf.test.main()\n"
  }
]