


import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests


def        _UpperCamelCase							(      lowercase__      ):
						__SCREAMING_SNAKE_CASE						:     List[str]					=		{}

						__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		job['''started_at''']
						__SCREAMING_SNAKE_CASE						:     List[str]					=		job['''completed_at''']

						__SCREAMING_SNAKE_CASE						:     List[str]					=		date_parser.parse(lowercase__      )
						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		date_parser.parse(lowercase__      )

						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		round((end_datetime - start_datetime).total_seconds() / 60.0      )

						__SCREAMING_SNAKE_CASE						:     Any					=		start
						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		end
						__SCREAMING_SNAKE_CASE						:     Dict					=		duration_in_min

						return job_info


def        _UpperCamelCase							(      lowercase__    ,       lowercase__=None      ):
						__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		None
						if token is not None:
												__SCREAMING_SNAKE_CASE						:     Optional[int]					=		{'''Accept''': '''application/vnd.github+json''', '''Authorization''': F'''Bearer {token}'''}

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

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

												for i in range(lowercase__      ):
																		__SCREAMING_SNAKE_CASE						:     Optional[int]					=		requests.get(url + F'''&page={i + 2}'''    ,       headers=lowercase__      ).json()
																		job_time.update({job['''name''']: extract_time_from_single_job(lowercase__      ) 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	: Tuple  				=parser.parse_args()

						__lowerCAmelCase	: Any  				=get_job_time(args.workflow_run_id)
						__lowerCAmelCase	: 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"]}""")




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase	: Any  				={'configuration_vit_msn': ['VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMSNConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase	: int  				=[
						    'VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'ViTMSNModel',
						    'ViTMSNForImageClassification',
						    'ViTMSNPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_vit_msn import (
												    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ViTMSNForImageClassification,
												    ViTMSNModel,
												    ViTMSNPreTrainedModel,
												)

else:
						import sys

						__lowerCAmelCase	: Union[str, Any]  				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
