




import json
import logging
import os
import subprocess
from argparse import ArgumentParser


lowerCamelCase__				:     str			       =							logging.getLogger(__name__)

def       UpperCAmelCase_							(   )      ->				Dict:
      SCREAMING_SNAKE_CASE_					=    ArgumentParser()
      SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_					=    parser.parse_known_args()
      for arg in unknown:
            if arg.startswith(('-', '--')							):
                  parser.add_argument(arg.split('='							)[0]							)

      return parser.parse_args()

def       UpperCAmelCase_							(   )      ->				Dict:
      SCREAMING_SNAKE_CASE_					=    parse_args()
      SCREAMING_SNAKE_CASE_					=    88_88
      SCREAMING_SNAKE_CASE_					=    int(os.environ['SM_NUM_GPUS']							)
      SCREAMING_SNAKE_CASE_					=    json.loads(os.environ['SM_HOSTS']							)
      SCREAMING_SNAKE_CASE_					=    len(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_					=    os.environ['SM_CURRENT_HOST']
      SCREAMING_SNAKE_CASE_					=    hosts.index(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_					=    'INFO'

      if num_nodes > 1:
            SCREAMING_SNAKE_CASE_					=    f"python -m torch.distributed.launch \\n                --nnodes={num_nodes}  \\n                --node_rank={rank}  \\n                --nproc_per_node={num_gpus}  \\n                --master_addr={hosts[0]}  \\n                --master_port={port} \\n                ./run_glue.py \\n                {''.join(['nested fstring' for parameter,value in args.__dict__.items()]							)}"
      else:
            SCREAMING_SNAKE_CASE_					=    f"python -m torch.distributed.launch \\n            --nproc_per_node={num_gpus}  \\n            ./run_glue.py \\n            {''.join(['nested fstring' for parameter,value in args.__dict__.items()]							)}"
      try:
            subprocess.run(__UpperCAmelCase    ,    shell=__UpperCAmelCase							)
      except Exception as e:
            logger.info(__UpperCAmelCase							)


if __name__ == "__main__":
      main()





from __future__ import annotations

def       UpperCAmelCase_							(   __UpperCAmelCase		:			list[int]							)      ->				list[int]:
      SCREAMING_SNAKE_CASE_					=    [0] * len(__UpperCAmelCase							)
      for i in range(1    ,    len(__UpperCAmelCase							)							):
            SCREAMING_SNAKE_CASE_					=    duration_times[i - 1] + waiting_times[i - 1]
      return waiting_times

def       UpperCAmelCase_							(   __UpperCAmelCase		:			list[int]    ,    __UpperCAmelCase		:			list[int]							)      ->				list[int]:
      return [
          duration_time + waiting_times[i]
          for i, duration_time in enumerate(__UpperCAmelCase							)
      ]

def       UpperCAmelCase_							(   __UpperCAmelCase		:			list[int]							)      ->				float:
      return sum(__UpperCAmelCase							) / len(__UpperCAmelCase							)

def       UpperCAmelCase_							(   __UpperCAmelCase		:			list[int]							)      ->				float:
      return sum(__UpperCAmelCase							) / len(__UpperCAmelCase							)


if __name__ == "__main__":
   # process id's
   lowerCamelCase__				:     Union[str, Any]			       =							[1, 2, 3]

   # ensure that we actually have processes
   if len(processes) == 0:
      print('Zero amount of processes')
      raise SystemExit(0)

   # duration time of all processes
   lowerCamelCase__				:     Optional[Any]			       =							[19, 8, 9]

   # ensure we can match each id to a duration time
   if len(duration_times) != len(processes):
      print('Unable to match all id\'s with their duration time')
      raise SystemExit(0)

   # get the waiting times and the turnaround times
   lowerCamelCase__				:     Dict			       =							calculate_waiting_times(duration_times)
   lowerCamelCase__				:     int			       =							calculate_turnaround_times(duration_times, waiting_times)

   # get the average times
   lowerCamelCase__				:     Any			       =							calculate_average_waiting_time(waiting_times)
   lowerCamelCase__				:     Tuple			       =							calculate_average_turnaround_time(turnaround_times)

   # print all the results
   print('Process ID\tDuration Time\tWaiting Time\tTurnaround Time')
   for i, process in enumerate(processes):
      print(
          f'''{process}\t\t{duration_times[i]}\t\t{waiting_times[i]}\t\t'''
          f'''{turnaround_times[i]}'''
      )
   print(f'''Average waiting time = {average_waiting_time}''')
   print(f'''Average turn around time = {average_turnaround_time}''')