






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        _a  (     UpperCamelCase_					:				Any    ,   UpperCamelCase_					:				List[str]    ,   UpperCamelCase_					:				Union[str, Any]    ,   UpperCamelCase_					:				List[Any]    ,   UpperCamelCase_					:				List[str]    ,   UpperCamelCase_					:				str    ,   UpperCamelCase_					:				Optional[Any]   ) ->   int:
						"""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        _a  (     UpperCamelCase_					:				Optional[Any]   ) ->   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        _a  (     ) ->   List[Any]:
						"""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()














from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_							=    {'''configuration_sew''': ['''SEW_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWConfig''']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a_							=    [
	    '''SEW_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''SEWForCTC''',
	    '''SEWForSequenceClassification''',
	    '''SEWModel''',
	    '''SEWPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_sew import (
		    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
		    SEWForCTC,
		    SEWForSequenceClassification,
		    SEWModel,
		    SEWPreTrainedModel,
		)


else:
	import sys

	a_							=    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






