






'''simple docstring'''







import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase   )   -> str:
							lowerCamelCase__      :			List[str] 						= {}

							lowerCamelCase__      :			Optional[Any] 						= job["""started_at"""]
							lowerCamelCase__      :			List[Any] 						= job["""completed_at"""]

							lowerCamelCase__      :			Union[str, Any] 						= date_parser.parse(UpperCamelCase   )
							lowerCamelCase__      :			Dict 						= date_parser.parse(UpperCamelCase   )

							lowerCamelCase__      :			int 						= round((end_datetime - start_datetime).total_seconds() / 60.0   )

							lowerCamelCase__      :			Union[str, Any] 						= start
							lowerCamelCase__      :			Any 						= end
							lowerCamelCase__      :			List[Any] 						= duration_in_min

							return job_info





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase=None   )   -> Tuple:
							lowerCamelCase__      :			Optional[Any] 						= None
							if token is not None:
														lowerCamelCase__      :			List[Any] 						= {"""Accept""": """application/vnd.github+json""", """Authorization""": f'''Bearer {token}'''}

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

							try:
														job_time.update({job["""name"""]: extract_time_from_single_job(UpperCamelCase   ) for job in result["""jobs"""]}   )
														lowerCamelCase__      :			List[str] 						= math.ceil((result["""total_count"""] - 100) / 100   )

														for i in range(UpperCamelCase   ):
																					lowerCamelCase__      :			Optional[int] 						= 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__":
			_A			:    List[str]					  =argparse.ArgumentParser()
			# Required parameters
			parser.add_argument('''--workflow_run_id''', type=str, required=True, help='''A GitHub Actions workflow run id.''')
			_A			:    Dict					  =parser.parse_args()

			_A			:    Optional[Any]					  =get_job_time(args.workflow_run_id)
			_A			:    Optional[int]					  =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'''







from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
			from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline

