

import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin





class  __lowerCAmelCase     (					unittest.TestCase			,			SCREAMING_SNAKE_CASE							):




  def   A__     (				self					)  -> Tuple:
        '''simple docstring'''






        _lowercase	       =load_tool('text-classification'					)
        self.tool.setup()
        _lowercase	       =load_tool('text-classification'							,   remote=lowerCAmelCase					)




  def   A__     (				self					)  -> Optional[int]:
        '''simple docstring'''






        _lowercase	       =self.tool('That\'s quite cool'							,   ['positive', 'negative']					)
        self.assertEqual(lowerCAmelCase							,   'positive'					)




  def   A__     (				self					)  -> Dict:
        '''simple docstring'''






        _lowercase	       =self.remote_tool('That\'s quite cool'							,   ['positive', 'negative']					)
        self.assertEqual(lowerCAmelCase							,   'positive'					)




  def   A__     (				self					)  -> Union[str, Any]:
        '''simple docstring'''






        _lowercase	       =self.tool(text='That\'s quite cool'							,   labels=['positive', 'negative']					)
        self.assertEqual(lowerCAmelCase							,   'positive'					)




  def   A__     (				self					)  -> int:
        '''simple docstring'''






        _lowercase	       =self.remote_tool(text='That\'s quite cool'							,   labels=['positive', 'negative']					)
        self.assertEqual(lowerCAmelCase							,   'positive'					)





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']}")


