
from multiprocessing import Lock, Pipe, Process

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



def 						lowercase_      (       A__			,		A__			,		A__			,		A__			,		A__			,		A__			,		A__		)							->							Any:
    """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()
            snake_case								= rr_cv[0].recv()
            process_lock.release()

            # take the lower value since you are on the left
            snake_case								= 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()
            snake_case								= lr_cv[0].recv()
            process_lock.release()

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



def 						lowercase_      (       A__		)							->							Optional[Any]:
    """simple docstring"""

    snake_case								= []
    snake_case								= []
    # 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
    snake_case								= Pipe()
    snake_case								= Pipe()
    process_array_.append(
        Process(
            target=__a			,		args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])			,		)		)
    snake_case								= temp_rs
    snake_case								= temp_rr

    for i in range(1			,		len(__a		) - 1		):
        snake_case								= Pipe()
        snake_case								= Pipe()
        process_array_.append(
            Process(
                target=__a			,		args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])			,		)		)
        snake_case								= temp_rs
        snake_case								= 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		)		):
        snake_case								= result_pipe[p][0].recv()
        process_array_[p].join()
    return arr



def 						lowercase_      (       )							->							Union[str, Any]:
    """simple docstring"""

    snake_case								= list(range(10			,		0			,		-1		)		)
    print("Initial List"		)
    print(*__a		)
    snake_case								= odd_even_transposition(__a		)
    print("Sorted List\n"		)
    print(*__a		)


if __name__ == "__main__":
   main()




from collections import defaultdict







class 					lowerCamelCase		:





     def __init__(self				:   Tuple    ,   _A				:   Optional[int]    ,   _A				:   List[str]       )						->						Union[str, Any]:
         snake_case								= total  # total no of tasks (N)

         # DP table will have a dimension of (2^M)*N
         # initially all values are set to -1
         snake_case								= [
             [-1 for i in range(total + 1       )] for j in range(2 ** len(_A       )       )
         ]

         snake_case								= defaultdict(_A       )  # stores the list of persons for each task

         # final_mask is used to check if all persons are included by setting all bits
         # to 1
         snake_case								= (1 << len(_A       )) - 1





     def 		UpperCAmelCase(self				:   str    ,   _A				:   Optional[Any]    ,   _A				:   List[Any]       )						->						str:
         # if mask == self.finalmask all persons are distributed tasks, return 1
         if mask == self.final_mask:
             return 1

         # if not everyone gets the task and no more tasks are available, return 0
         if task_no > self.total_tasks:
             return 0

         # if case already considered
         if self.dp[mask][task_no] != -1:
             return self.dp[mask][task_no]

         # Number of ways when we don't this task in the arrangement
         snake_case								= self.count_ways_until(_A    ,   task_no + 1       )

         # now assign the tasks one by one to all possible persons and recursively
         # assign for the remaining tasks.
         if task_no in self.task:
             for p in self.task[task_no]:
                 # if p is already given a task
                 if mask & (1 << p):
                     continue

                 # assign this task to p and change the mask value. And recursively
                 # assign tasks with the new mask value.
                 total_ways_util += self.count_ways_until(mask | (1 << p)    ,   task_no + 1       )

        # save the value.
         snake_case								= total_ways_util

         return self.dp[mask][task_no]





     def 		UpperCAmelCase(self				:   Any    ,   _A				:   Dict       )						->						Optional[Any]:
         # Store the list of persons for each task
         for i in range(len(_A       )       ):
             for j in task_performed[i]:
                 self.task[j].append(_A       )

        # call the function to fill the DP table, final answer is stored in dp[0][1]
         return self.count_ways_until(0    ,   1       )


if __name__ == "__main__":
   _A   =			5  # total no of tasks (the value of N)

   # the list of tasks that can be done by M persons.
   _A   =			[[1, 3, 4], [1, 2, 5], [3, 4]]
   print(
       AssignmentUsingBitmask(task_performed, total_tasks).count_no_of_ways(
           task_performed
       )
   )

