from __future__ import annotations

from statistics import mean



def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    list[int]:







   """simple docstring"""
   lowerCamelCase__       :						Dict        =							[0] * no_of_processes
   lowerCamelCase__       :						Tuple        =							[0] * no_of_processes

   # Initialize remaining_time to waiting_time.

   for i in range(__lowerCAmelCase					):
      lowerCamelCase__       :						Dict        =							burst_time[i]
   lowerCamelCase__       :						list[int]        =							[]

   lowerCamelCase__       :						Optional[int]        =							0
   lowerCamelCase__       :						List[Any]        =							0

   # When processes are not completed,
   # A process whose arrival time has passed \
   # and has remaining execution time is put into the ready_process.
   # The shortest process in the ready_process, target_process is executed.

   while completed != no_of_processes:
      lowerCamelCase__       :						List[str]        =							[]
      lowerCamelCase__       :						Dict        =							-1

      for i in range(__lowerCAmelCase					):
         if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
            ready_process.append(__lowerCAmelCase					)

      if len(__lowerCAmelCase					) > 0:
         lowerCamelCase__       :						Any        =							ready_process[0]
         for i in ready_process:
            if remaining_time[i] < remaining_time[target_process]:
               lowerCamelCase__       :						str        =							i
         total_time += burst_time[target_process]
         completed += 1
         lowerCamelCase__       :						Union[str, Any]        =							0
         lowerCamelCase__       :						str        =							(
             total_time - arrival_time[target_process] - burst_time[target_process]
         )
      else:
         total_time += 1

   return waiting_time



def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    list[int]:







   """simple docstring"""
   lowerCamelCase__       :						Union[str, Any]        =							[0] * no_of_processes
   for i in range(__lowerCAmelCase					):
      lowerCamelCase__       :						Union[str, Any]        =							burst_time[i] + waiting_time[i]
   return turn_around_time


if __name__ == "__main__":
       print('[TEST CASE 01]')

       _A :   List[Any]  			=  4
       _A :   Any  			=  [2, 5, 3, 7]
       _A :   int  			=  [0, 0, 0, 0]
       _A :   Any  			=  calculate_waitingtime(arrival_time, burst_time, no_of_processes)
       _A :   Tuple  			=  calculate_turnaroundtime(
           burst_time, no_of_processes, waiting_time
       )

       # Printing the Result
       print('PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time')
       for i, process_id in enumerate(list(range(1, 5))):
              print(
                  F'''{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t'''
                  F'''{waiting_time[i]}\t\t\t\t{turn_around_time[i]}'''
              )
       print(F'''\nAverage waiting time = {mean(waiting_time):.5f}''')
       print(F'''Average turnaround time = {mean(turn_around_time):.5f}''')










import pprint

import requests

_A :   Any  			=  'https://zenquotes.io/api'



def 	_a						(   )    ->    list:







   """simple docstring"""
   return requests.get(API_ENDPOINT_URL + '''/today'''					).json()



def 	_a						(   )    ->    list:







   """simple docstring"""
   return requests.get(API_ENDPOINT_URL + '''/random'''					).json()


if __name__ == "__main__":
       _A :   Optional[Any]  			=  random_quotes()
       pprint.pprint(response)



