
import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests



def 		UpperCamelCase     (       _UpperCAmelCase  :   Tuple  )   ->			Optional[Any]:






						'''simple docstring'''

						_lowercase       :	str           =   {}

						_lowercase       :	Any           =   job["started_at"]
						_lowercase       :	Optional[Any]           =   job["completed_at"]

						_lowercase       :	Dict           =   date_parser.parse(_UpperCAmelCase  )
						_lowercase       :	List[str]           =   date_parser.parse(_UpperCAmelCase  )

						_lowercase       :	Union[str, Any]           =   round((end_datetime - start_datetime).total_seconds() / 60.0  )

						_lowercase       :	Union[str, Any]           =   start
						_lowercase       :	Union[str, Any]           =   end
						_lowercase       :	Dict           =   duration_in_min

						return job_info



def 		UpperCamelCase     (       _UpperCAmelCase  :   int ,			_UpperCAmelCase  :   List[str]=None  )   ->			List[Any]:






						'''simple docstring'''

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

						_lowercase       :	List[str]           =   f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
						_lowercase       :	List[str]           =   requests.get(_UpperCAmelCase ,			headers=_UpperCAmelCase  ).json()
						_lowercase       :	Optional[Any]           =   {}

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

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

							UpperCamelCase_						:     int	       =							get_job_time(args.workflow_run_id)
							UpperCamelCase_						:     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"]}''')






import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


UpperCamelCase_						:     List[str]	       =							logging.get_logger(__name__)




class   __lowercase						(						__snake_case       ):






	def __init__(self				: int      ,	*snake_case				: Optional[Any]      ,	**snake_case				: Optional[Any]    ) ->			None:
							warnings.warn(
							    "The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use FlavaImageProcessor instead."      ,	snake_case      ,	)
							super().__init__(*snake_case      ,	**snake_case    )




