


'''simple docstring'''



from statistics import mean

import numpy as np



def      UpperCAmelCase__   (      UpperCAmelCase_       :							list ,       UpperCAmelCase_       :							list ,       UpperCAmelCase_       :							list ,       UpperCAmelCase_       :							int				)	->						list:
     __lowerCamelCase  :      Tuple														=						0
     # Number of processes finished
     __lowerCamelCase  :      Union[str, Any]														=						0
     # Displays the finished process.
     # If it is 0, the performance is completed if it is 1, before the performance.
     __lowerCamelCase  :      List[Any]														=						[0] * no_of_process
     # List to include calculation results
     __lowerCamelCase  :      str														=						[0] * no_of_process

     # Sort by arrival time.
     __lowerCamelCase  :      Tuple														=						[burst_time[i] for i in np.argsort(UpperCAmelCase_				)]
     __lowerCamelCase  :      List[str]														=						[process_name[i] for i in np.argsort(UpperCAmelCase_				)]
     arrival_time.sort()

     while no_of_process > finished_process_count:
          __lowerCamelCase  :      Tuple														=						0
          while finished_process[i] == 1:
               i += 1
          if current_time < arrival_time[i]:
               __lowerCamelCase  :      Optional[Any]														=						arrival_time[i]

          __lowerCamelCase  :      Any														=						0
          # Index showing the location of the process being performed
          __lowerCamelCase  :      Tuple														=						0
          # Saves the current response ratio.
          __lowerCamelCase  :      List[str]														=						0
          for i in range(0 ,       UpperCAmelCase_				):
               if finished_process[i] == 0 and arrival_time[i] <= current_time:
                    __lowerCamelCase  :      Any														=						(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
                        i
                    ]
               if response_ratio < temp:
                    __lowerCamelCase  :      Optional[int]														=						temp
                    __lowerCamelCase  :      List[Any]														=						i

        # Calculate the turn around time
          __lowerCamelCase  :      Optional[Any]														=						current_time + burst_time[loc] - arrival_time[loc]
          current_time += burst_time[loc]
          # Indicates that the process has been performed.
          __lowerCamelCase  :      List[Any]														=						1
          # Increase finished_process_count by 1
          finished_process_count += 1

     return turn_around_time



def      UpperCAmelCase__   (      UpperCAmelCase_       :							list ,       UpperCAmelCase_       :							list ,       UpperCAmelCase_       :							list ,       UpperCAmelCase_       :							int				)	->						list:
     __lowerCamelCase  :      Any														=						[0] * no_of_process
     for i in range(0 ,       UpperCAmelCase_				):
          __lowerCamelCase  :      Dict														=						turn_around_time[i] - burst_time[i]
     return waiting_time


if __name__ == "__main__":
      A__						:   Dict				=    5
      A__						:   str				=    ["""A""", """B""", """C""", """D""", """E"""]
      A__						:   Optional[int]				=    [1, 2, 3, 4, 5]
      A__						:   Optional[int]				=    [1, 2, 3, 4, 5]

      A__						:   Optional[Any]				=    calculate_turn_around_time(
          process_name, arrival_time, burst_time, no_of_process
      )
      A__						:   Union[str, Any]				=    calculate_waiting_time(
          process_name, turn_around_time, burst_time, no_of_process
      )

      print("""Process name \tArrival time \tBurst time \tTurn around time \tWaiting time""")
      for i in range(0, no_of_process):
            print(
                f'''{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'''
                f'''{turn_around_time[i]}\t\t\t{waiting_time[i]}'''
            )

      print(f'''average waiting time : {mean(waiting_time):.5f}''')
      print(f'''average turn around time : {mean(turn_around_time):.5f}''')










'''simple docstring'''



from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

A__						:   Dict				=    [
    """python""",
    """tqdm""",
    """regex""",
    """requests""",
    """packaging""",
    """filelock""",
    """numpy""",
    """tokenizers""",
    """huggingface-hub""",
    """safetensors""",
    """accelerate""",
    """pyyaml""",
]

for pkg in pkgs_to_check_at_runtime:
      if pkg in deps:
            if pkg == "tokenizers":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_tokenizers_available

                  if not is_tokenizers_available():
                        continue  # not required, check version only if installed
            elif pkg == "accelerate":
                  # must be loaded here, or else tqdm check may fail
                  from .utils import is_accelerate_available

                  # Maybe switch to is_torch_available in the future here so that Accelerate is hard dep of
                  # Transformers with PyTorch
                  if not is_accelerate_available():
                        continue  # not required, check version only if installed

            require_version_core(deps[pkg])
      else:
            raise ValueError(f'''can\'t find {pkg} in {deps.keys()}, check dependency_versions_table.py''')



def      UpperCAmelCase__   (      UpperCAmelCase_       :							List[Any] ,       UpperCAmelCase_       :							List[Any]=None				)	->						List[Any]:
     require_version(deps[pkg] ,       UpperCAmelCase_				)






