"""simple docstring"""
import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


SCREAMING_SNAKE_CASE__   =					get_logger(__name__)



class 		lowerCAmelCase_      (     enum.Enum   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Tuple     					=  """all_checks"""
				_lowerCAmelCase       :      List[str]     					=  """basic_checks"""
				_lowerCAmelCase       :      Tuple     					=  """no_checks"""





class 		lowerCAmelCase_      (     UpperCamelCase_   ):



				"""simple docstring"""





class 		lowerCAmelCase_      (     UpperCamelCase_   ):



				"""simple docstring"""





class 		lowerCAmelCase_      (     UpperCamelCase_   ):



				"""simple docstring"""





class 		lowerCAmelCase_      (     UpperCamelCase_   ):



				"""simple docstring"""





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Any	,     _UpperCamelCase    :			Optional[Any]	,     _UpperCamelCase    :			Dict=None   )   ->			List[Any]:





						"""simple docstring"""






						if expected_checksums is None:
												logger.info('Unable to verify checksums.'   )
												return
						if len(set(__lowerCAmelCase   ) - set(__lowerCAmelCase   )   ) > 0:
												raise ExpectedMoreDownloadedFiles(str(set(__lowerCAmelCase   ) - set(__lowerCAmelCase   )   )   )
						if len(set(__lowerCAmelCase   ) - set(__lowerCAmelCase   )   ) > 0:
												raise UnexpectedDownloadedFile(str(set(__lowerCAmelCase   ) - set(__lowerCAmelCase   )   )   )
						snake_case        =     [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
						snake_case        =     """ for """ + verification_name if verification_name is not None else """"""
						if len(__lowerCAmelCase   ) > 0:
												raise NonMatchingChecksumError(
												    f"""Checksums didn\'t match{for_verification_name}:\n"""
												    f"""{bad_urls}\n"""
												    'Set `verification_mode=\'no_checks\'` to skip checksums verification and ignore this error'   )
						logger.info('All the checksums matched successfully' + for_verification_name   )



class 		lowerCAmelCase_      (     UpperCamelCase_   ):



				"""simple docstring"""





class 		lowerCAmelCase_      (     UpperCamelCase_   ):



				"""simple docstring"""





class 		lowerCAmelCase_      (     UpperCamelCase_   ):



				"""simple docstring"""





class 		lowerCAmelCase_      (     UpperCamelCase_   ):



				"""simple docstring"""





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int	,     _UpperCamelCase    :			int   )   ->			Tuple:





						"""simple docstring"""






						if expected_splits is None:
												logger.info('Unable to verify splits sizes.'   )
												return
						if len(set(__lowerCAmelCase   ) - set(__lowerCAmelCase   )   ) > 0:
												raise ExpectedMoreSplits(str(set(__lowerCAmelCase   ) - set(__lowerCAmelCase   )   )   )
						if len(set(__lowerCAmelCase   ) - set(__lowerCAmelCase   )   ) > 0:
												raise UnexpectedSplits(str(set(__lowerCAmelCase   ) - set(__lowerCAmelCase   )   )   )
						snake_case        =     [
						    {"""expected""": expected_splits[name], """recorded""": recorded_splits[name]}
						    for name in expected_splits
						    if expected_splits[name].num_examples != recorded_splits[name].num_examples
						]
						if len(__lowerCAmelCase   ) > 0:
												raise NonMatchingSplitsSizesError(str(__lowerCAmelCase   )   )
						logger.info('All the splits matched successfully.'   )





def 				lowerCAmelCase__      (     _UpperCamelCase    :			int	,     _UpperCamelCase    :			str = True   )   ->			dict:





						"""simple docstring"""






						if record_checksum:
												snake_case        =     shaaaa()
												with open(__lowerCAmelCase	,     'rb'   ) as f:
																		for chunk in iter(lambda: f.read(1 << 2_0   )	,     B''   ):
																								m.update(__lowerCAmelCase   )
																		snake_case        =     m.hexdigest()
						else:
												snake_case        =     None
						return {"num_bytes": os.path.getsize(__lowerCAmelCase   ), "checksum": checksum}





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Tuple   )   ->			Optional[int]:





						"""simple docstring"""






						if dataset_size and config.IN_MEMORY_MAX_SIZE:
												return dataset_size < config.IN_MEMORY_MAX_SIZE
						else:
												return False



"""simple docstring"""
import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Any   )   ->			int:





						"""simple docstring"""






						snake_case        =     {}

						snake_case        =     job['started_at']
						snake_case        =     job['completed_at']

						snake_case        =     date_parser.parse(_UpperCamelCase   )
						snake_case        =     date_parser.parse(_UpperCamelCase   )

						snake_case        =     round((end_datetime - start_datetime).total_seconds() / 60.0   )

						snake_case        =     start
						snake_case        =     end
						snake_case        =     duration_in_min

						return job_info





def 				lowerCAmelCase__      (     _UpperCamelCase    :			Dict	,     _UpperCamelCase    :			Any=None   )   ->			Union[str, Any]:





						"""simple docstring"""






						snake_case        =     None
						if token is not None:
												snake_case        =     {'Accept': 'application/vnd.github+json', 'Authorization': f"""Bearer {token}"""}

						snake_case        =     f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
						snake_case        =     requests.get(_UpperCamelCase	,     headers=_UpperCamelCase   ).json()
						snake_case        =     {}

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

												for i in range(_UpperCamelCase   ):
																		snake_case        =     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__":
					SCREAMING_SNAKE_CASE__   =					argparse.ArgumentParser()
					# Required parameters
					parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
					SCREAMING_SNAKE_CASE__   =					parser.parse_args()

					SCREAMING_SNAKE_CASE__   =					get_job_time(args.workflow_run_id)
					SCREAMING_SNAKE_CASE__   =					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']}""")


