
from statistics import mean

import numpy as np


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

    # Sort by arrival time.
    __lowercase		:      Optional[Any]						     =							[burst_time[i] for i in np.argsort(__lowerCAmelCase						)]
    __lowercase		:      Optional[Any]						     =							[process_name[i] for i in np.argsort(__lowerCAmelCase						)]
    arrival_time.sort()

    while no_of_process > finished_process_count:
        __lowercase		:      Union[str, Any]						     =							0
        while finished_process[i] == 1:
            i += 1
        if current_time < arrival_time[i]:
            __lowercase		:      int						     =							arrival_time[i]

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

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

    return turn_around_time


def      UpperCAmelCase_	(    __lowerCAmelCase						,       __lowerCAmelCase						,       __lowerCAmelCase						,       __lowerCAmelCase						)			->    Optional[Any]:
    __lowercase		:      List[str]						     =							[0] * no_of_process
    for i in range(0						,       __lowerCAmelCase						):
        __lowercase		:      List[Any]						     =							turn_around_time[i] - burst_time[i]
    return waiting_time


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

 __lowerCAmelCase       :      Any         =		calculate_turn_around_time(
     process_name, arrival_time, burst_time, no_of_process
 )
 __lowerCAmelCase       :      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}')






from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
SCREAMING_SNAKE_CASE__     					=			Lock()


def     lowercase	(    a     , a     , a     , a     , a     , a     , a ):



		'''simple docstring'''




		global process_lock

		# we perform n swaps since after n swaps we know we are sorted
		# we *could* stop early if we are sorted already, but it takes as long to
		# find out we are sorted as it does to sort the list with this algorithm
		for i in range(0     , 10 ):
				if (i + position) % 2 == 0 and r_send is not None:
						# send your value to your right neighbor
						process_lock.acquire()
						r_send[1].send(a )
						process_lock.release()

						# receive your right neighbor's value
						process_lock.acquire()
						SCREAMING_SNAKE_CASE_				:str				     =						rr_cv[0].recv()
						process_lock.release()

						# take the lower value since you are on the left
						SCREAMING_SNAKE_CASE_				:int				     =						min(a     , a )
				elif (i + position) % 2 != 0 and l_send is not None:
						# send your value to your left neighbor
						process_lock.acquire()
						l_send[1].send(a )
						process_lock.release()

						# receive your left neighbor's value
						process_lock.acquire()
						SCREAMING_SNAKE_CASE_				:int				     =						lr_cv[0].recv()
						process_lock.release()

						# take the higher value since you are on the right
						SCREAMING_SNAKE_CASE_				:Dict				     =						max(a     , a )
    # after all swaps are performed, send the values back to main
		result_pipe[1].send(a )


def     lowercase	(    a ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:Tuple				     =						[]
		SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						[]
		# initialize the list of pipes where the values will be retrieved
		for _ in arr:
				result_pipe.append(Pipe() )
		# creates the processes
		# the first and last process only have one neighbor so they are made outside
		# of the loop
		SCREAMING_SNAKE_CASE_				:str				     =						Pipe()
		SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						Pipe()
		process_array_.append(
		    Process(
		        target=a     , args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])     , ) )
		SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						temp_rs
		SCREAMING_SNAKE_CASE_				:Any				     =						temp_rr

		for i in range(1     , len(a ) - 1 ):
				SCREAMING_SNAKE_CASE_				:int				     =						Pipe()
				SCREAMING_SNAKE_CASE_				:Dict				     =						Pipe()
				process_array_.append(
				    Process(
				        target=a     , args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])     , ) )
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						temp_rs
				SCREAMING_SNAKE_CASE_				:int				     =						temp_rr

		process_array_.append(
		    Process(
		        target=a     , args=(
		            len(a ) - 1,
		            arr[len(a ) - 1],
		            temp_ls,
		            None,
		            temp_lr,
		            None,
		            result_pipe[len(a ) - 1],
		        )     , ) )

		# start the processes
		for p in process_array_:
				p.start()

		# wait for the processes to end and write their values to the list
		for p in range(0     , len(a ) ):
				SCREAMING_SNAKE_CASE_				:Tuple				     =						result_pipe[p][0].recv()
				process_array_[p].join()
		return arr


def     lowercase	(    ):



		'''simple docstring'''




		SCREAMING_SNAKE_CASE_				:List[str]				     =						list(range(10     , 0     , -1 ) )
		print("Initial List" )
		print(*a )
		SCREAMING_SNAKE_CASE_				:int				     =						odd_even_transposition(a )
		print("Sorted List\n" )
		print(*a )


if __name__ == "__main__":
		main()






