


'''simple docstring'''




import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests





def 	a_					( lowerCamelCase	:     Dict				):
   lowerCAmelCase     =			{}

   lowerCAmelCase     =			job['started_at']
   lowerCAmelCase     =			job['completed_at']

   lowerCAmelCase     =			date_parser.parse(lowerCamelCase				)
   lowerCAmelCase     =			date_parser.parse(lowerCamelCase				)

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

   lowerCAmelCase     =			start
   lowerCAmelCase     =			end
   lowerCAmelCase     =			duration_in_min

   return job_info





def 	a_					( lowerCamelCase	:     Optional[int]	, lowerCamelCase	:     Tuple=None				):
   lowerCAmelCase     =			None
   if token is not None:
      lowerCAmelCase     =			{'Accept': 'application/vnd.github+json', 'Authorization': f'''Bearer {token}'''}

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

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

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

       __snake_case    						=get_job_time(args.workflow_run_id)
       __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"]}''')











from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
						from .pipeline_unclip import UnCLIPPipeline
						from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
						from .text_proj import UnCLIPTextProjModel




