

from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
def      a      (			)    ->      int:





      """simple docstring"""



      _lowercase	       =HfArgumentParser(A__     )
      _lowercase	       =parser.parse_args_into_dataclasses()[0]
      _lowercase	       =TensorFlowBenchmark(args=A__     )
      try:
            _lowercase	       =parser.parse_args_into_dataclasses()[0]
      except ValueError as e:
            _lowercase	       ='Arg --no_{0} is no longer used, please use --no-{0} instead.'
            _lowercase	       =' '.join(str(A__     ).split(' '     )[:-1]     )
            _lowercase	       =''
            _lowercase	       =eval(str(A__     ).split(' '     )[-1]     )
            _lowercase	       =[]
            for arg in depreciated_args:
                  # arg[2:] removes '--'
                  if arg[2:] in TensorFlowBenchmark.deprecated_args:
                        # arg[5:] removes '--no_'
                        full_error_msg += arg_error_msg.format(arg[5:]     )
                  else:
                        wrong_args.append(A__     )
            if len(A__     ) > 0:
                  _lowercase	       =full_error_msg + begin_error_msg + str(A__     )
            raise ValueError(A__     )
      benchmark.run()


if __name__ == "__main__":
  main()





import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests
def      a      (			A__	:   Dict     )    ->      str:





      """simple docstring"""



      _lowercase	       ={}

      _lowercase	       =job['started_at']
      _lowercase	       =job['completed_at']

      _lowercase	       =date_parser.parse(A__     )
      _lowercase	       =date_parser.parse(A__     )

      _lowercase	       =round((end_datetime - start_datetime).total_seconds() / 60.0     )

      _lowercase	       =start
      _lowercase	       =end
      _lowercase	       =duration_in_min

      return job_info
def      a      (			A__	:   Dict      ,   A__	:   str=None     )    ->      Tuple:





      """simple docstring"""



      _lowercase	       =None
      if token is not None:
            _lowercase	       ={'Accept': 'application/vnd.github+json', 'Authorization': F'''Bearer {token}'''}

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

      try:
            job_time.update({job['name']: extract_time_from_single_job(A__     ) for job in result['jobs']}     )
            _lowercase	       =math.ceil((result['total_count'] - 100) / 100     )

            for i in range(A__     ):
                  _lowercase	       =requests.get(url + F'''&page={i + 2}'''      ,   headers=A__     ).json()
                  job_time.update({job['name']: extract_time_from_single_job(A__     ) for job in result['jobs']}     )

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

      return {}


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.')
  lowercase_									=   parser.parse_args()

  lowercase_									=   get_job_time(args.workflow_run_id)
  lowercase_									=   dict(sorted(job_time.items(), key=lambda item: item[1]["duration"], reverse=True))

  for k, v in job_time.items():
    print(f"{k}: {v['duration']}")


