
"""simple docstring"""


import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests






def       _snake_case				(		snake_case__   :     str	,      snake_case__   :     Optional[int]=None     ):
 A						   =   None
 if token is not None:
  A						   =   {'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

 A						   =   F'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
 A						   =   requests.get(_A	,      headers=_A     ).json()
 A						   =   {}

 try:
  job_links.update({job['name']: job['html_url'] for job in result['jobs']}     )
  A						   =   math.ceil((result['total_count'] - 100) / 100     )

  for i in range(_A     ):
   A						   =   requests.get(url + F'&page={i + 2}'	,      headers=_A     ).json()
   job_links.update({job['name']: job['html_url'] for job in result['jobs']}     )

  return job_links
 except Exception:
  print(F'Unknown error, could not fetch links:\n{traceback.format_exc()}'     )

 return {}






def       _snake_case				(		snake_case__   :     str	,      snake_case__   :     Tuple=None     ):
 A						   =   None
 if token is not None:
  A						   =   {'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

 A						   =   F'https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'
 A						   =   requests.get(_A	,      headers=_A     ).json()
 A						   =   {}

 try:
  artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}     )
  A						   =   math.ceil((result['total_count'] - 100) / 100     )

  for i in range(_A     ):
   A						   =   requests.get(url + F'&page={i + 2}'	,      headers=_A     ).json()
   artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}     )

  return artifacts
 except Exception:
  print(F'Unknown error, could not fetch links:\n{traceback.format_exc()}'     )

 return {}






def       _snake_case				(		snake_case__   :     Union[str, Any]	,      snake_case__   :     str	,      snake_case__   :     Optional[Any]	,      snake_case__   :     Tuple     ):
 A						   =   None
 if token is not None:
  A						   =   {'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

 A						   =   requests.get(_A	,      headers=_A	,      allow_redirects=_A     )
 A						   =   result.headers['Location']
 A						   =   requests.get(_A	,      allow_redirects=_A     )
 A						   =   os.path.join(_A	,      F'{artifact_name}.zip'     )
 with open(_A	,      'wb'     ) as fp:
  fp.write(response.content     )






def       _snake_case				(		snake_case__   :     str	,      snake_case__   :     List[Any]=None     ):
 A						   =   []
 A						   =   []
 A						   =   None

 with zipfile.ZipFile(_A     ) as z:
  for filename in z.namelist():
   if not os.path.isdir(_A     ):
    # read the file
    if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
     with z.open(_A     ) as f:
      for line in f:
       A						   =   line.decode('UTF-8'     ).strip()
       if filename == "failures_line.txt":
        try:
         # `error_line` is the place where `error` occurs
         A						   =   line[: line.index(': '     )]
         A						   =   line[line.index(': '     ) + len(': '     ) :]
         errors.append([error_line, error]     )
        except Exception:
         # skip un-related lines
         pass
       elif filename == "summary_short.txt" and line.startswith('FAILED '     ):
        # `test` is the test method that failed
        A						   =   line[len('FAILED '     ) :]
        failed_tests.append(_A     )
       elif filename == "job_name.txt":
        A						   =   line

 if len(_A     ) != len(_A     ):
  raise ValueError(
      F'`errors` and `failed_tests` should have the same number of elements. Got {len(_A     )} for `errors` '
      F'and {len(_A     )} for `failed_tests` instead. The test reports in {artifact_zip_path} have some'
      ' problem.'     )

 A						   =   None
 if job_name and job_links:
  A						   =   job_links.get(_A	,      _A     )

 # A list with elements of the form (line of error, error, failed test)
 A						   =   [x + [y] + [job_link] for x, y in zip(_A	,      _A     )]

 return result






def       _snake_case				(		snake_case__   :     str	,      snake_case__   :     Optional[Any]=None     ):
 A						   =   []

 A						   =   [os.path.join(_A	,      _A     ) for p in os.listdir(_A     ) if p.endswith('.zip'     )]
 for p in paths:
  errors.extend(get_errors_from_single_artifact(_A	,      job_links=_A     )     )

 return errors






def       _snake_case				(		snake_case__   :     Dict	,      snake_case__   :     str=None     ):
 A						   =   Counter()
 counter.update([x[1] for x in logs]     )
 A						   =   counter.most_common()
 A						   =   {}
 for error, count in counts:
  if error_filter is None or error not in error_filter:
   A						   =   {'count': count, 'failed_tests': [(x[2], x[0]) for x in logs if x[1] == error]}

 A						   =   dict(sorted(r.items()	,      key=lambda snake_case__     : item[1]["count"]	,      reverse=_A     )     )
 return r






def       _snake_case				(		snake_case__   :     Tuple     ):
 A						   =   test.split('::'     )[0]
 if test.startswith('tests/models/'     ):
  A						   =   test.split('/'     )[2]
 else:
  A						   =   None

 return test






def       _snake_case				(		snake_case__   :     List[Any]	,      snake_case__   :     str=None     ):
 A						   =   [(x[0], x[1], get_model(x[2]     )) for x in logs]
 A						   =   [x for x in logs if x[2] is not None]
 A						   =   {x[2] for x in logs}

 A						   =   {}
 for test in tests:
  A						   =   Counter()
  # count by errors in `test`
  counter.update([x[1] for x in logs if x[2] == test]     )
  A						   =   counter.most_common()
  A						   =   {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
  A						   =   sum(error_counts.values()     )
  if n_errors > 0:
   A						   =   {'count': n_errors, 'errors': error_counts}

 A						   =   dict(sorted(r.items()	,      key=lambda snake_case__     : item[1]["count"]	,      reverse=_A     )     )
 return r






def       _snake_case				(		snake_case__   :     Union[str, Any]     ):
 A						   =   '| no. | error | status |'
 A						   =   '|-:|:-|:-|'
 A						   =   [header, sep]
 for error in reduced_by_error:
  A						   =   reduced_by_error[error]['count']
  A						   =   F'| {count} | {error[:100]} |  |'
  lines.append(_A     )

 return "\n".join(_A     )






def       _snake_case				(		snake_case__   :     Union[str, Any]     ):
 A						   =   '| model | no. of errors | major error | count |'
 A						   =   '|-:|-:|-:|-:|'
 A						   =   [header, sep]
 for model in reduced_by_model:
  A						   =   reduced_by_model[model]['count']
  A   ,      A						   =   list(reduced_by_model[model]['errors'].items()     )[0]
  A						   =   F'| {model} | {count} | {error[:60]} | {_count} |'
  lines.append(_A     )

 return "\n".join(_A     )


if __name__ == "__main__":
  _lowercase							   =				argparse.ArgumentParser()
  # Required parameters
  parser.add_argument('''--workflow_run_id''', type=str, required=True, help='''A GitHub Actions workflow run id.''')
  parser.add_argument(
      '''--output_dir''',
      type=str,
      required=True,
      help='''Where to store the downloaded artifacts and other result files.''',
  )
  parser.add_argument('''--token''', default=None, type=str, help='''A token that has actions:read permission.''')
  _lowercase							   =				parser.parse_args()

  os.makedirs(args.output_dir, exist_ok=True)

  _lowercase							   =				get_job_links(args.workflow_run_id, token=args.token)
  _lowercase							   =				{}
  # To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
  # For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
  if _job_links:
    for k, v in _job_links.items():
      # This is how GitHub actions combine job names.
      if " / " in k:
        _lowercase							   =				k.find(''' / ''')
        _lowercase							   =				k[index + len(''' / ''') :]
      _lowercase							   =				v
  with open(os.path.join(args.output_dir, '''job_links.json'''), '''w''', encoding='''UTF-8''') as fp:
    json.dump(job_links, fp, ensure_ascii=False, indent=4)

  _lowercase							   =				get_artifacts_links(args.workflow_run_id, token=args.token)
  with open(os.path.join(args.output_dir, '''artifacts.json'''), '''w''', encoding='''UTF-8''') as fp:
    json.dump(artifacts, fp, ensure_ascii=False, indent=4)

  for idx, (name, url) in enumerate(artifacts.items()):
    download_artifact(name, url, args.output_dir, args.token)
    # Be gentle to GitHub
    time.sleep(1)

  _lowercase							   =				get_all_errors(args.output_dir, job_links=job_links)

  # `e[1]` is the error
  _lowercase							   =				Counter()
  counter.update([e[1] for e in errors])

  # print the top 30 most common test errors
  _lowercase							   =				counter.most_common(30)
  for item in most_common:
    print(item)

  with open(os.path.join(args.output_dir, '''errors.json'''), '''w''', encoding='''UTF-8''') as fp:
    json.dump(errors, fp, ensure_ascii=False, indent=4)

  _lowercase							   =				reduce_by_error(errors)
  _lowercase							   =				reduce_by_model(errors)

  _lowercase							   =				make_github_table(reduced_by_error)
  _lowercase							   =				make_github_table_per_model(reduced_by_model)

  with open(os.path.join(args.output_dir, '''reduced_by_error.txt'''), '''w''', encoding='''UTF-8''') as fp:
    fp.write(sa)
  with open(os.path.join(args.output_dir, '''reduced_by_model.txt'''), '''w''', encoding='''UTF-8''') as fp:
    fp.write(sa)

"""simple docstring"""


from argparse import ArgumentParser

from . import BaseTransformersCLICommand






def       _snake_case				(		snake_case__   :     Optional[int]     ):
	return DownloadCommand(args.model	,      args.cache_dir	,      args.force	,      args.trust_remote_code     )







class 				lowerCAmelCase_				(      _lowercase    ):



						'''simple docstring'''


						@staticmethod
						def 						_SCREAMING_SNAKE_CASE      ( A_     :      ArgumentParser      )     ->   Any:
							A						   =   parser.add_parser('download'      )
							download_parser.add_argument(
							    '--cache-dir'  ,type=A_  ,default=A_  ,help='Path to location to store the models'      )
							download_parser.add_argument(
							    '--force'  ,action='store_true'  ,help='Force the model to be download even if already in cache-dir'      )
							download_parser.add_argument(
							    '--trust-remote-code'  ,action='store_true'  ,help='Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'  ,)
							download_parser.add_argument('model'  ,type=A_  ,help='Name of the model to download'      )
							download_parser.set_defaults(func=A_      )


						def __init__( self     :      Dict  ,A_     :      str  ,A_     :      str  ,A_     :      bool  ,A_     :      bool      )     ->   Union[str, Any]:
							A						   =   model
							A						   =   cache
							A						   =   force
							A						   =   trust_remote_code




						def 						_SCREAMING_SNAKE_CASE      ( self     :      Dict      )     ->   Optional[int]:
							from ..models.auto import AutoModel, AutoTokenizer

							AutoModel.from_pretrained(
							    self._model  ,cache_dir=self._cache  ,force_download=self._force  ,trust_remote_code=self._trust_remote_code      )
							AutoTokenizer.from_pretrained(
							    self._model  ,cache_dir=self._cache  ,force_download=self._force  ,trust_remote_code=self._trust_remote_code      )