


import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests
def     __lowerCamelCase						(			UpperCAmelCase_						:		Any						):




      """simple docstring"""





      a						:int										=	{}

      a						:List[Any]										=	job['''started_at''']
      a						:List[Any]										=	job['''completed_at''']

      a						:List[str]										=	date_parser.parse(UpperCAmelCase_						)
      a						:Dict										=	date_parser.parse(UpperCAmelCase_						)

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

      a						:List[str]										=	start
      a						:Optional[Any]										=	end
      a						:List[Any]										=	duration_in_min

      return job_info
def     __lowerCamelCase						(			UpperCAmelCase_						:		List[str]			,  UpperCAmelCase_						:		List[Any]=None						):




      """simple docstring"""





      a						:str										=	None
      if token is not None:
            a						:Optional[Any]										=	{'''Accept''': '''application/vnd.github+json''', '''Authorization''': F'''Bearer {token}'''}

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

      try:
            job_time.update({job['''name''']: extract_time_from_single_job(UpperCAmelCase_						) for job in result['''jobs''']}						)
            a						:Tuple										=	math.ceil((result['''total_count'''] - 100) / 100						)

            for i in range(UpperCAmelCase_						):
                  a						:Union[str, 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__":
     snake_case    :   Dict	    =					argparse.ArgumentParser()
     # Required parameters
     parser.add_argument('''--workflow_run_id''', type=str, required=True, help='''A GitHub Actions workflow run id.''')
     snake_case    :   Union[str, Any]	    =					parser.parse_args()

     snake_case    :   Union[str, Any]	    =					get_job_time(args.workflow_run_id)
     snake_case    :   Optional[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"]}""")









from collections import OrderedDict
from typing import List, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case    :   Union[str, Any]	    =					logging.get_logger(__name__)

snake_case    :   List[str]	    =					{
    '''google/efficientnet-b7''': '''https://huggingface.co/google/efficientnet-b7/resolve/main/config.json''',
}







class 		_snake_case  (				_snake_case							):
 SCREAMING_SNAKE_CASE__				=	'efficientnet'




 def __init__(		self ,  _lowerCamelCase = 3 ,  _lowerCamelCase = 600 ,  _lowerCamelCase = 2.0 ,  _lowerCamelCase = 3.1 ,  _lowerCamelCase = 8 ,  _lowerCamelCase = [3, 3, 5, 3, 5, 5, 3] ,  _lowerCamelCase = [32, 16, 24, 40, 80, 112, 192] ,  _lowerCamelCase = [16, 24, 40, 80, 112, 192, 320] ,  _lowerCamelCase = [] ,  _lowerCamelCase = [1, 2, 2, 2, 1, 2, 1] ,  _lowerCamelCase = [1, 2, 2, 3, 3, 4, 1] ,  _lowerCamelCase = [1, 6, 6, 6, 6, 6, 6] ,  _lowerCamelCase = 0.25 ,  _lowerCamelCase = "swish" ,  _lowerCamelCase = 2560 ,  _lowerCamelCase = "mean" ,  _lowerCamelCase = 0.02 ,  _lowerCamelCase = 0.001 ,  _lowerCamelCase = 0.99 ,  _lowerCamelCase = 0.5 ,  _lowerCamelCase = 0.2 ,  **_lowerCamelCase ,  ):
       super().__init__(**_lowerCamelCase   )

       a						:Optional[int]										=	num_channels
       a						:List[str]										=	image_size
       a						:int										=	width_coefficient
       a						:Optional[Any]										=	depth_coefficient
       a						:Any										=	depth_divisor
       a						:Any										=	kernel_sizes
       a						:Tuple										=	in_channels
       a						:Union[str, Any]										=	out_channels
       a						:Any										=	depthwise_padding
       a						:Any										=	strides
       a						:Optional[Any]										=	num_block_repeats
       a						:Tuple										=	expand_ratios
       a						:Dict										=	squeeze_expansion_ratio
       a						:int										=	hidden_act
       a						:Dict										=	hidden_dim
       a						:Tuple										=	pooling_type
       a						:Any										=	initializer_range
       a						:Tuple										=	batch_norm_eps
       a						:Optional[int]										=	batch_norm_momentum
       a						:List[Any]										=	dropout_rate
       a						:Optional[int]										=	drop_connect_rate
       a						:Tuple										=	sum(_lowerCamelCase   ) * 4







class 		_snake_case  (				_snake_case							):
 SCREAMING_SNAKE_CASE__				=	version.parse('1.11'							)




 @property
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       return OrderedDict(
           [
               ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
           ]   )




 @property
 def 	SCREAMING_SNAKE_CASE__    (		self   ):
       return 1e-5





