






'''simple docstring'''



from statistics import mean

import numpy as np


def 				lowercase_					(     __A			:							list       ,   __A			:							list       ,   __A			:							list       ,   __A			:							int      )							->   list:



 """simple docstring"""




 lowercase       : Dict						=0
 # Number of processes finished
 lowercase       : str						=0
 # Displays the finished process.
 # If it is 0, the performance is completed if it is 1, before the performance.
 lowercase       : Optional[Any]						=[0] * no_of_process
 # List to include calculation results
 lowercase       : Any						=[0] * no_of_process

 # Sort by arrival time.
 lowercase       : int						=[burst_time[i] for i in np.argsort(__A      )]
 lowercase       : Optional[int]						=[process_name[i] for i in np.argsort(__A      )]
 arrival_time.sort()

 while no_of_process > finished_process_count:
  lowercase       : List[str]						=0
  while finished_process[i] == 1:
   i += 1
  if current_time < arrival_time[i]:
   lowercase       : Tuple						=arrival_time[i]

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

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

 return turn_around_time


def 				lowercase_					(     __A			:							list       ,   __A			:							list       ,   __A			:							list       ,   __A			:							int      )							->   list:



 """simple docstring"""




 lowercase       : Dict						=[0] * no_of_process
 for i in range(0       ,   __A      ):
  lowercase       : str						=turn_around_time[i] - burst_time[i]
 return waiting_time


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE							=						5
      SCREAMING_SNAKE_CASE							=						['A', 'B', 'C', 'D', 'E']
      SCREAMING_SNAKE_CASE							=						[1, 2, 3, 4, 5]
      SCREAMING_SNAKE_CASE							=						[1, 2, 3, 4, 5]

      SCREAMING_SNAKE_CASE							=						calculate_turn_around_time(
          process_name, arrival_time, burst_time, no_of_process
      )
      SCREAMING_SNAKE_CASE							=						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}""")






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available


SCREAMING_SNAKE_CASE		:List[Any]						=     {"""tokenization_herbert""": ["""HerbertTokenizer"""]}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE		:Union[str, Any]						=     ["""HerbertTokenizerFast"""]


if TYPE_CHECKING:
 from .tokenization_herbert import HerbertTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_herbert_fast import HerbertTokenizerFast

else:
 import sys

 SCREAMING_SNAKE_CASE		:List[str]						=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
