





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 							SCREAMING_SNAKE_CASE__						(    __a   , __a   , __a   , __a   , __a   , __a   , __a   ):
	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_		:			int											=	rr_cv[0].recv()
			process_lock.release()

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

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


def 							SCREAMING_SNAKE_CASE__						(    __a   ):
	snake_case_		:			List[str]											=	[]
	snake_case_		:			str											=	[]
	# 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_		:			str											=	Pipe()
	snake_case_		:			List[str]											=	Pipe()
	process_array_.append(
	    Process(
	        target=__a   , args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])   , )   )
	snake_case_		:			str											=	temp_rs
	snake_case_		:			List[str]											=	temp_rr

	for i in range(1   , len(__a   ) - 1   ):
		snake_case_		:			List[str]											=	Pipe()
		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])   , )   )
		snake_case_		:			int											=	temp_rs
		snake_case_		:			Union[str, Any]											=	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_		:			List[Any]											=	result_pipe[p][0].recv()
		process_array_[p].join()
	return arr


def 							SCREAMING_SNAKE_CASE__						(    ):
	snake_case_		:			Union[str, Any]											=	list(range(10   , 0   , -1   )   )
	print('Initial List'   )
	print(*__a   )
	snake_case_		:			Optional[int]											=	odd_even_transposition(__a   )
	print('Sorted List\n'   )
	print(*__a   )


if __name__ == "__main__":
						main()








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


_SCREAMING_SNAKE_CASE      	=		{"""configuration_swin""": ["""SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SwinConfig""", """SwinOnnxConfig"""]}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_SCREAMING_SNAKE_CASE      	=		[
						    """SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """SwinForImageClassification""",
						    """SwinForMaskedImageModeling""",
						    """SwinModel""",
						    """SwinPreTrainedModel""",
						    """SwinBackbone""",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_SCREAMING_SNAKE_CASE      	=		[
						    """TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """TFSwinForImageClassification""",
						    """TFSwinForMaskedImageModeling""",
						    """TFSwinModel""",
						    """TFSwinPreTrainedModel""",
						]

if TYPE_CHECKING:
						from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_swin import (
												    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    SwinBackbone,
												    SwinForImageClassification,
												    SwinForMaskedImageModeling,
												    SwinModel,
												    SwinPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_swin import (
												    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFSwinForImageClassification,
												    TFSwinForMaskedImageModeling,
												    TFSwinModel,
												    TFSwinPreTrainedModel,
												)

else:
						import sys

						_SCREAMING_SNAKE_CASE      	=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

