


'''simple docstring'''







import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests






def 			lowercase				(_A					)     ->   str:







       """simple docstring"""







       _lowerCAmelCase    :							List[Any]   			=       {}

       _lowerCAmelCase    :							Optional[Any]   			=       job['started_at']
       _lowerCAmelCase    :							List[Any]   			=       job['completed_at']

       _lowerCAmelCase    :							List[Any]   			=       date_parser.parse(SCREAMING_SNAKE_CASE_					)
       _lowerCAmelCase    :							Tuple   			=       date_parser.parse(SCREAMING_SNAKE_CASE_					)

       _lowerCAmelCase    :							str   			=       round((end_datetime - start_datetime).total_seconds() / 60.0					)

       _lowerCAmelCase    :							Any   			=       start
       _lowerCAmelCase    :							str   			=       end
       _lowerCAmelCase    :							int   			=       duration_in_min

       return job_info






def 			lowercase				(_A   ,						_A=None					)     ->   str:







       """simple docstring"""







       _lowerCAmelCase    :							List[Any]   			=       None
       if token is not None:
              _lowerCAmelCase    :							Tuple   			=       {'Accept': 'application/vnd.github+json', 'Authorization': f'Bearer {token}'}

       _lowerCAmelCase    :							Tuple   			=       f'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
       _lowerCAmelCase    :							str   			=       requests.get(SCREAMING_SNAKE_CASE_   ,						headers=SCREAMING_SNAKE_CASE_					).json()
       _lowerCAmelCase    :							str   			=       {}

       try:
              job_time.update({job['name']: extract_time_from_single_job(SCREAMING_SNAKE_CASE_					) for job in result['jobs']}					)
              _lowerCAmelCase    :							List[Any]   			=       math.ceil((result['total_count'] - 1_0_0) / 1_0_0					)

              for i in range(SCREAMING_SNAKE_CASE_					):
                     _lowerCAmelCase    :							Optional[Any]   			=       requests.get(url + f'&page={i + 2}'   ,						headers=SCREAMING_SNAKE_CASE_					).json()
                     job_time.update({job['name']: extract_time_from_single_job(SCREAMING_SNAKE_CASE_					) 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__":
       lowerCAmelCase    :     int					=						argparse.ArgumentParser()
       # Required parameters
       parser.add_argument("""--workflow_run_id""", type=str, required=True, help="""A GitHub Actions workflow run id.""")
       lowerCAmelCase    :     int					=						parser.parse_args()

       lowerCAmelCase    :     Optional[int]					=						get_job_time(args.workflow_run_id)
       lowerCAmelCase    :     Optional[Any]					=						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"]}''')





'''simple docstring'''







import pytest

import datasets


# Import fixture modules as plugins
lowerCAmelCase    :     List[str]					=						["""tests.fixtures.files""", """tests.fixtures.hub""", """tests.fixtures.fsspec"""]






def 			lowercase				(_A   ,						_A					):







       """simple docstring"""







       for item in items:
              if any(marker in item.keywords for marker in ['integration', 'unit']					):
                     continue
              item.add_marker(pytest.mark.unit					)






def 			lowercase				(_A					):







       """simple docstring"""







       config.addinivalue_line('markers'   ,						'torchaudio_latest: mark test to run with torchaudio>=0.12'					)






@pytest.fixture(autouse=_A					)
def 			lowercase				(_A   ,						_A					):







       """simple docstring"""







       _lowerCAmelCase    :							str   			=       tmp_path_factory.getbasetemp() / 'cache'
       _lowerCAmelCase    :							Dict   			=       test_hf_cache_home / 'datasets'
       _lowerCAmelCase    :							List[Any]   			=       test_hf_cache_home / 'metrics'
       _lowerCAmelCase    :							List[Any]   			=       test_hf_cache_home / 'modules'
       monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE'   ,						str(_A					)					)
       monkeypatch.setattr('datasets.config.HF_METRICS_CACHE'   ,						str(_A					)					)
       monkeypatch.setattr('datasets.config.HF_MODULES_CACHE'   ,						str(_A					)					)
       _lowerCAmelCase    :							Dict   			=       test_hf_datasets_cache / 'downloads'
       monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH'   ,						str(_A					)					)
       _lowerCAmelCase    :							Union[str, Any]   			=       test_hf_datasets_cache / 'downloads' / 'extracted'
       monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'   ,						str(_A					)					)






@pytest.fixture(autouse=_A   ,						scope='session'					)
def 			lowercase				():







       """simple docstring"""







       datasets.disable_progress_bar()






@pytest.fixture(autouse=_A					)
def 			lowercase				(_A					):







       """simple docstring"""







       monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'   ,						_A					)






@pytest.fixture
def 			lowercase				(_A					):







       """simple docstring"""







       monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'   ,						_A					)

