





'''simple docstring'''




from __future__ import annotations

from statistics import mean
def 	UpperCAmelCase_							(					__lowercase							:      list[int]			,     __lowercase							:      list[int]			,     __lowercase							:      int       )		->       list[int]:


     '''simple docstring'''



     _UpperCAmelCase     							=   [0] * no_of_processes
     _UpperCAmelCase     							=   [0] * no_of_processes

     # Initialize remaining_time to waiting_time.

     for i in range(__lowercase       ):
          _UpperCAmelCase     							=   burst_time[i]
     _UpperCAmelCase     							=   []

     _UpperCAmelCase     							=   0
     _UpperCAmelCase     							=   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:
          _UpperCAmelCase     							=   []
          _UpperCAmelCase     							=   -1

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

          if len(__lowercase       ) > 0:
               _UpperCAmelCase     							=   ready_process[0]
               for i in ready_process:
                    if remaining_time[i] < remaining_time[target_process]:
                         _UpperCAmelCase     							=   i
               total_time += burst_time[target_process]
               completed += 1
               _UpperCAmelCase     							=   0
               _UpperCAmelCase     							=   (
                   total_time - arrival_time[target_process] - burst_time[target_process]
               )
          else:
               total_time += 1

     return waiting_time
def 	UpperCAmelCase_							(					__lowercase							:      list[int]			,     __lowercase							:      int			,     __lowercase							:      list[int]       )		->       list[int]:


     '''simple docstring'''



     _UpperCAmelCase     							=   [0] * no_of_processes
     for i in range(__lowercase       ):
          _UpperCAmelCase     							=   burst_time[i] + waiting_time[i]
     return turn_around_time


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

  __SCREAMING_SNAKE_CASE     :Dict       =				4
  __SCREAMING_SNAKE_CASE     :int       =				[2, 5, 3, 7]
  __SCREAMING_SNAKE_CASE     :List[Any]       =				[0, 0, 0, 0]
  __SCREAMING_SNAKE_CASE     :Tuple       =				calculate_waitingtime(arrival_time, burst_time, no_of_processes)
  __SCREAMING_SNAKE_CASE     :Any       =				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}")












from __future__ import annotations

import collections
import pprint
from pathlib import Path


def __A    (      __lowerCAmelCase	)->  str:





						"""simple docstring"""



						return "".join(sorted(__lowerCAmelCase	)	)


def __A    (      __lowerCAmelCase	)->  list[str]:





						"""simple docstring"""



						return word_by_signature[signature(__lowerCAmelCase	)]


_a      	=  Path(__file__).parent.joinpath('''words.txt''').read_text(encoding='''utf-8''')
_a      	=  sorted({word.strip().lower() for word in data.splitlines()})

_a      	=  collections.defaultdict(list)
for word in word_list:
		word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
		_a      	=  {word: anagram(word) for word in word_list if len(anagram(word)) > 1}

		with open('''anagrams.txt''', '''w''') as file:
				file.write('''all_anagrams = \n ''')
				file.write(pprint.pformat(all_anagrams))
