





'''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__				:   Optional[Any]      =Lock()
def    UpperCamelCase__      (		lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase							,	lowerCAmelCase  ):





      """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(lowerCAmelCase  )
                  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(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()
                  _lowerCAmelCase							     =							lr_cv[0].recv()
                  process_lock.release()

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





      """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=lowerCAmelCase							,	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(lowerCAmelCase  ) - 1  ):
            _lowerCAmelCase							     =							Pipe()
            _lowerCAmelCase							     =							Pipe()
            process_array_.append(
                Process(
                    target=lowerCAmelCase							,	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=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  )  ):
            _lowerCAmelCase							     =							result_pipe[p][0].recv()
            process_array_[p].join()
      return arr
def    UpperCamelCase__      (		):





      """simple docstring"""


      _lowerCAmelCase							     =							list(range(10							,	0							,	-1  )  )
      print("""Initial List"""  )
      print(*lowerCAmelCase  )
      _lowerCAmelCase							     =							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, is_vision_available


__UpperCamelCase		:       int									=     {'configuration_yolos': ['YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'YolosConfig', 'YolosOnnxConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       int									=     ['YolosFeatureExtractor']
					__UpperCamelCase		:       Union[str, Any]									=     ['YolosImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       str									=     [
					    'YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'YolosForObjectDetection',
					    'YolosModel',
					    'YolosPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_yolos import YolosFeatureExtractor
										from .image_processing_yolos import YolosImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_yolos import (
										    YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
										    YolosForObjectDetection,
										    YolosModel,
										    YolosPreTrainedModel,
										)


else:
					import sys

					__UpperCamelCase		:       int									=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





