
"""simple docstring"""




import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests



def 							a__ (				lowerCAmelCase	:       Optional[int]		):






     '''simple docstring'''
     UpperCAmelCase__							: Dict 							=						{}

     UpperCAmelCase__							: Optional[Any] 							=						job["started_at"]
     UpperCAmelCase__							: Tuple 							=						job["completed_at"]

     UpperCAmelCase__							: str 							=						date_parser.parse(lowerCAmelCase		)
     UpperCAmelCase__							: List[Any] 							=						date_parser.parse(lowerCAmelCase		)

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

     UpperCAmelCase__							: Union[str, Any] 							=						start
     UpperCAmelCase__							: Tuple 							=						end
     UpperCAmelCase__							: Optional[int] 							=						duration_in_min

     return job_info



def 							a__ (				lowerCAmelCase	:       Tuple       ,    lowerCAmelCase	:       Any=None		):






     '''simple docstring'''
     UpperCAmelCase__							: int 							=						None
     if token is not None:
          UpperCAmelCase__							: Union[str, Any] 							=						{"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

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

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

          for i in range(lowerCAmelCase		):
               UpperCAmelCase__							: Optional[int] 							=						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__":
    A__      :	Tuple          =    argparse.ArgumentParser()
    # Required parameters
    parser.add_argument("""--workflow_run_id""", type=str, required=True, help="""A GitHub Actions workflow run id.""")
    A__      :	Dict          =    parser.parse_args()

    A__      :	Optional[Any]          =    get_job_time(args.workflow_run_id)
    A__      :	str          =    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 _LazyModule


A__      :	List[str]          =    {"""tokenization_tapex""": ["""TapexTokenizer"""]}


if TYPE_CHECKING:
    from .tokenization_tapex import TapexTokenizer


else:
    import sys

    A__      :	Any          =    _LazyModule(__name__, globals()["""__file__"""], _import_structure)



