

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							(				lowerCAmelCase:  Any  ,      lowerCAmelCase:  List[Any]  ,      lowerCAmelCase:  Optional[int]  ,      lowerCAmelCase:  Tuple  ,      lowerCAmelCase:  Any  ,      lowerCAmelCase:  Optional[int]  ,      lowerCAmelCase:  int )   ->       List[Any]:
				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(lowerCAmelCase )
												process_lock.release()

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

												# take the lower value since you are on the left
												_UpperCAmelCase       :		Union[str, Any] 		=    min(lowerCAmelCase  ,      lowerCAmelCase )
								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(lowerCAmelCase )
												process_lock.release()

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

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

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  Optional[int] )   ->       Optional[Any]:
				_UpperCAmelCase       :		List[str] 		=    []
				_UpperCAmelCase       :		List[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
				_UpperCAmelCase       :		Dict 		=    Pipe()
				_UpperCAmelCase       :		int 		=    Pipe()
				process_array_.append(
				    Process(
				        target=lowerCAmelCase  ,      args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])  ,      ) )
				_UpperCAmelCase       :		str 		=    temp_rs
				_UpperCAmelCase       :		List[str] 		=    temp_rr

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

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

def 							__SCREAMING_SNAKE_CASE							(				)   ->       List[Any]:
				_UpperCAmelCase       :		List[str] 		=    list(range(10  ,      0  ,      -1 ) )
				print("Initial List" )
				print(*lowerCAmelCase )
				_UpperCAmelCase       :		Dict 		=    odd_even_transposition(lowerCAmelCase )
				print("Sorted List\n" )
				print(*lowerCAmelCase )


if __name__ == "__main__":
					main()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE_        =      {
    'configuration_nllb_moe': [
        'NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'NllbMoeConfig',
    ]
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE_        =      [
					    'NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'NllbMoeForConditionalGeneration',
					    'NllbMoeModel',
					    'NllbMoePreTrainedModel',
					    'NllbMoeTop2Router',
					    'NllbMoeSparseMLP',
					]


if TYPE_CHECKING:
					from .configuration_nllb_moe import (
					    NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    NllbMoeConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_nllb_moe import (
										    NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
										    NllbMoeForConditionalGeneration,
										    NllbMoeModel,
										    NllbMoePreTrainedModel,
										    NllbMoeSparseMLP,
										    NllbMoeTopaRouter,
										)


else:
					import sys

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


