




"""simple docstring"""
from multiprocessing import Lock, Pipe, Process

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





def 						UpperCAmelCase				(			A__:    List[str]							,				A__:    List[str]							,				A__:    Tuple							,				A__:    List[Any]							,				A__:    Union[str, Any]							,				A__:    Optional[Any]							,				A__:    Optional[int]     )  ->     str:
			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()
									__lowerCamelCase					:	Dict	       =				rr_cv[0].recv()
									process_lock.release()

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

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





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

			for i in range(1							,				len(A__     ) - 1     ):
						__lowerCamelCase					:	Optional[int]	       =				Pipe()
						__lowerCamelCase					:	List[Any]	       =				Pipe()
						process_array_.append(
						    Process(
						        target=A__							,				args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])							,				)     )
						__lowerCamelCase					:	Dict	       =				temp_rs
						__lowerCamelCase					:	Optional[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__     )     ):
						__lowerCamelCase					:	Optional[int]	       =				result_pipe[p][0].recv()
						process_array_[p].join()
			return arr





def 						UpperCAmelCase				(			)  ->     List[Any]:
			__lowerCamelCase					:	Tuple	       =				list(range(10							,				0							,				-1     )     )
			print('Initial List'     )
			print(*A__     )
			__lowerCamelCase					:	List[Any]	       =				odd_even_transposition(A__     )
			print('Sorted List\n'     )
			print(*A__     )


if __name__ == "__main__":
					main()









"""simple docstring"""
import pytest

import datasets


# Import fixture modules as plugins
a_				:    Tuple										=     ['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']





def 						UpperCAmelCase				(			A__:    List[Any]							,				A__:    Optional[Any]     )  ->     List[str]:
			# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
			for item in items:
						if any(marker in item.keywords for marker in ['integration', 'unit']     ):
									continue
						item.add_marker(pytest.mark.unit     )





def 						UpperCAmelCase				(			A__:    int     )  ->     Optional[int]:
			config.addinivalue_line('markers'							,				'torchaudio_latest: mark test to run with torchaudio>=0.12'     )





@pytest.fixture(autouse=A__     )
def 						UpperCAmelCase				(			A__:    Optional[Any]							,				A__:    List[Any]     )  ->     Any:
			# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
			__lowerCamelCase					:	str	       =				tmp_path_factory.getbasetemp() / 'cache'
			__lowerCamelCase					:	Dict	       =				test_hf_cache_home / 'datasets'
			__lowerCamelCase					:	int	       =				test_hf_cache_home / 'metrics'
			__lowerCamelCase					:	List[str]	       =				test_hf_cache_home / 'modules'
			monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE'							,				str(A__     )     )
			monkeypatch.setattr('datasets.config.HF_METRICS_CACHE'							,				str(A__     )     )
			monkeypatch.setattr('datasets.config.HF_MODULES_CACHE'							,				str(A__     )     )
			__lowerCamelCase					:	List[Any]	       =				test_hf_datasets_cache / 'downloads'
			monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH'							,				str(A__     )     )
			__lowerCamelCase					:	Optional[int]	       =				test_hf_datasets_cache / 'downloads' / 'extracted'
			monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'							,				str(A__     )     )





@pytest.fixture(autouse=A__							,				scope='session'     )
def 						UpperCAmelCase				(			)  ->     Any:
			datasets.disable_progress_bar()





@pytest.fixture(autouse=A__     )
def 						UpperCAmelCase				(			A__:    Optional[Any]     )  ->     Dict:
			# don't take tests into account when counting downloads
			monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'							,				A__     )






@pytest.fixture
def 						UpperCAmelCase				(			A__:    Union[str, Any]     )  ->     Optional[Any]:
			# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
			# To be removed once SQLAlchemy 2.0 supported
			monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'							,				A__     )



