





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 lowerCAmelCase__(__snake_case       ,__snake_case       ,__snake_case       ,__snake_case       ,__snake_case       ,__snake_case       ,__snake_case							)				->      str:







	'''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(_UpperCAmelCase							)
			process_lock.release()

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

			# take the lower value since you are on the left
			lowerCamelCase__								=		min(_UpperCAmelCase       ,_UpperCAmelCase							)
		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(_UpperCAmelCase							)
			process_lock.release()

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

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





def lowerCAmelCase__(__snake_case							)				->      str:







	'''simple docstring'''







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

	for i in range(1       ,len(_UpperCAmelCase							) - 1							):
		lowerCamelCase__								=		Pipe()
		lowerCamelCase__								=		Pipe()
		process_array_.append(
		    Process(
		        target=_UpperCAmelCase       ,args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])       ,)							)
		lowerCamelCase__								=		temp_rs
		lowerCamelCase__								=		temp_rr

	process_array_.append(
	    Process(
	        target=_UpperCAmelCase       ,args=(
	            len(_UpperCAmelCase							) - 1,
	            arr[len(_UpperCAmelCase							) - 1],
	            temp_ls,
	            None,
	            temp_lr,
	            None,
	            result_pipe[len(_UpperCAmelCase							) - 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(_UpperCAmelCase							)							):
		lowerCamelCase__								=		result_pipe[p][0].recv()
		process_array_[p].join()
	return arr





def lowerCAmelCase__()				->      int:







	'''simple docstring'''







	lowerCamelCase__								=		list(range(10       ,0       ,-1							)							)
	print('''Initial List'''							)
	print(*_UpperCAmelCase							)
	lowerCamelCase__								=		odd_even_transposition(_UpperCAmelCase							)
	print('''Sorted List\n'''							)
	print(*_UpperCAmelCase							)


if __name__ == "__main__":
			main()










"""simple docstring"""




from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin

class  _UpperCAmelCase  (   UpperCAmelCase__			,   UpperCAmelCase__		):



      '''simple docstring'''

      @register_to_config
      def __init__(     self					,      snake_case_ = 7_6_8					,      ):

        """simple docstring"""

        super().__init__()

        A_  :       Optional[int]										=  nn.Parameter(torch.zeros(1					,      snake_case_  )  )
        A_  :       Optional[int]										=  nn.Parameter(torch.ones(1					,      snake_case_  )  )

      def 					lowerCamelCase_			(     self					,      snake_case_ = None					,      snake_case_ = None					,      ):

        """simple docstring"""

        A_  :       str										=  nn.Parameter(self.mean.to(snake_case_  ).to(snake_case_  )  )
        A_  :       Optional[int]										=  nn.Parameter(self.std.to(snake_case_  ).to(snake_case_  )  )
        return self

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        A_  :       Tuple										=  (embeds - self.mean) * 1.0 / self.std
        return embeds

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        A_  :       List[str]										=  (embeds * self.std) + self.mean
        return embeds