




import argparse
import math
import traceback

import dateutil.parser as date_parser
import requests



def 					UpperCAmelCase__     (   lowerCamelCase      ):
  lowercase			:int							=  {}

  lowercase			:str							=  job["started_at"]
  lowercase			:int							=  job["completed_at"]

  lowercase			:Union[str, Any]							=  date_parser.parse(lowerCamelCase      )
  lowercase			:Optional[Any]							=  date_parser.parse(lowerCamelCase      )

  lowercase			:List[Any]							=  round((end_datetime - start_datetime).total_seconds() / 60.0      )

  lowercase			:Dict							=  start
  lowercase			:List[str]							=  end
  lowercase			:Optional[Any]							=  duration_in_min

  return job_info



def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase=None      ):
  lowercase			:List[Any]							=  None
  if token is not None:
    lowercase			:List[str]							=  {"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

  lowercase			:str							=  F"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
  lowercase			:Any							=  requests.get(lowerCamelCase,	headers=lowerCamelCase      ).json()
  lowercase			:Tuple							=  {}

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

    for i in range(lowerCamelCase      ):
      lowercase			:str							=  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__":
     _UpperCAmelCase		:  List[str]	=   argparse.ArgumentParser()
     # Required parameters
     parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
     _UpperCAmelCase		:  Any	=   parser.parse_args()

     _UpperCAmelCase		:  List[str]	=   get_job_time(args.workflow_run_id)
     _UpperCAmelCase		:  Tuple	=   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"]}''')









import os

import pytest
from attr import dataclass


_UpperCAmelCase		:  List[str]	=   "us-east-1"  # defaults region




@dataclass
class       __lowerCAmelCase				:
       _a           =  42
       _a           =  '''arn:aws:iam::558105141721:role/sagemaker_execution_role'''
       _a           =  {
           '''task_name''': '''mnli''',
           '''per_device_train_batch_size''': 16,
           '''per_device_eval_batch_size''': 16,
           '''do_train''': True,
           '''do_eval''': True,
           '''do_predict''': True,
           '''output_dir''': '''/opt/ml/model''',
           '''overwrite_output_dir''': True,
           '''max_steps''': 500,
           '''save_steps''': 5500,
       }
       _a           =  {**hyperparameters, '''max_steps''': 1000}






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    str ):
         if self.framework == "pytorch":
           return [
               {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
               {"Name": "eval_accuracy", "Regex": r"eval_accuracy.*=\D*(.*?)$"},
               {"Name": "eval_loss", "Regex": r"eval_loss.*=\D*(.*?)$"},
           ]
         else:
           return [
               {"Name": "train_runtime", "Regex": r"train_runtime.*=\D*(.*?)$"},
               {"Name": "eval_accuracy", "Regex": r"loss.*=\D*(.*?)]?$"},
               {"Name": "eval_loss", "Regex": r"sparse_categorical_accuracy.*=\D*(.*?)]?$"},
           ]






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    Dict ):
         return F"{self.framework}-transfromers-test"






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    Any ):
         return F"./tests/sagemaker/scripts/{self.framework}"






       @property
       def     SCREAMING_SNAKE_CASE			(      self:    Optional[int] ):
         if self.framework == "pytorch":
           return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-pytorch-training:1.7.1-transformers4.6.1-gpu-py36-cu110-ubuntu18.04"
         else:
           return "763104351884.dkr.ecr.us-east-1.amazonaws.com/huggingface-tensorflow-training:2.4.1-transformers4.6.1-gpu-py37-cu110-ubuntu18.04"







@pytest.fixture(scope="class"      )
def 					UpperCAmelCase__     (   lowerCamelCase      ):
  lowercase			:Union[str, Any]							=  SageMakerTestEnvironment(framework=request.cls.framework      )



