

"""simple docstring"""
from statistics import mean

import numpy as np




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

      # Sort by arrival time.
      UpperCAmelCase__			:							Union[str, Any]							=    [burst_time[i] for i in np.argsort(lowerCAmelCase    )]
      UpperCAmelCase__			:							Optional[int]							=    [process_name[i] for i in np.argsort(lowerCAmelCase    )]
      arrival_time.sort()

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

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

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

      return turn_around_time




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


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

    _A							=  calculate_turn_around_time(
        process_name, arrival_time, burst_time, no_of_process
    )
    _A							=  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 .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, SingleSentenceClassificationProcessor
from .xnli import xnli_output_modes, xnli_processors, xnli_tasks_num_labels

