



'''simple docstring'''
import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests






def A__    (     UpperCAmelCase_							):
						_UpperCamelCase					:		Union[str, Any] 				=   {}

						_UpperCamelCase					:		List[Any] 				=   job['started_at']
						_UpperCamelCase					:		List[str] 				=   job['completed_at']

						_UpperCamelCase					:		Dict 				=   date_parser.parse(_A							)
						_UpperCamelCase					:		Tuple 				=   date_parser.parse(_A							)

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

						_UpperCamelCase					:		Optional[Any] 				=   start
						_UpperCamelCase					:		Optional[int] 				=   end
						_UpperCamelCase					:		List[Any] 				=   duration_in_min

						return job_info






def A__    (     UpperCAmelCase_  ,  UpperCAmelCase_=None							):
						_UpperCamelCase					:		Union[str, Any] 				=   None
						if token is not None:
												_UpperCamelCase					:		List[Any] 				=   {'Accept': 'application/vnd.github+json', 'Authorization': f'Bearer {token}'}

						_UpperCamelCase					:		Tuple 				=   f'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
						_UpperCamelCase					:		List[str] 				=   requests.get(_A  ,  headers=_A							).json()
						_UpperCamelCase					:		Dict 				=   {}

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

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

					snake_case_ :	Any         =  get_job_time(args.workflow_run_id)
					snake_case_ :	List[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'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowercase          =  {
    '''configuration_instructblip''': [
        '''INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InstructBlipConfig''',
        '''InstructBlipQFormerConfig''',
        '''InstructBlipVisionConfig''',
    ],
    '''processing_instructblip''': ['''InstructBlipProcessor'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowercase          =  [
						    '''INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''InstructBlipQFormerModel''',
						    '''InstructBlipPreTrainedModel''',
						    '''InstructBlipForConditionalGeneration''',
						    '''InstructBlipVisionModel''',
						]

if TYPE_CHECKING:
						from .configuration_instructblip import (
						    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    InstructBlipConfig,
						    InstructBlipQFormerConfig,
						    InstructBlipVisionConfig,
						)
						from .processing_instructblip import InstructBlipProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_instructblip import (
												    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    InstructBlipForConditionalGeneration,
												    InstructBlipPreTrainedModel,
												    InstructBlipQFormerModel,
												    InstructBlipVisionModel,
												)

else:
						import sys

						__lowercase          =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




