


from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
UpperCAmelCase__   	=							Lock()
def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case     ,						__snake_case     ,						__snake_case     ,						__snake_case     ,						__snake_case     ,						__snake_case						)     ->			str:







 """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(__snake_case						)
   process_lock.release()

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

   # take the lower value since you are on the left
   _lowercase							      =min(__snake_case     ,						__snake_case						)
  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(__snake_case						)
   process_lock.release()

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

   # take the higher value since you are on the right
   _lowercase							      =max(__snake_case     ,						__snake_case						)
    # after all swaps are performed, send the values back to main
 result_pipe[1].send(__snake_case						)
def 				UpperCAmelCase_					(							__snake_case						)     ->			int:







 """simple docstring"""


 _lowercase							      =[]
 _lowercase							      =[]
 # 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
 _lowercase							      =Pipe()
 _lowercase							      =Pipe()
 process_array_.append(
     Process(
         target=__snake_case     ,						args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])     ,						)						)
 _lowercase							      =temp_rs
 _lowercase							      =temp_rr

 for i in range(1     ,						len(__snake_case						) - 1						):
  _lowercase							      =Pipe()
  _lowercase							      =Pipe()
  process_array_.append(
      Process(
          target=__snake_case     ,						args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])     ,						)						)
  _lowercase							      =temp_rs
  _lowercase							      =temp_rr

 process_array_.append(
     Process(
         target=__snake_case     ,						args=(
             len(__snake_case						) - 1,
             arr[len(__snake_case						) - 1],
             temp_ls,
             None,
             temp_lr,
             None,
             result_pipe[len(__snake_case						) - 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(__snake_case						)						):
  _lowercase							      =result_pipe[p][0].recv()
  process_array_[p].join()
 return arr
def 				UpperCAmelCase_					(							)     ->			str:







 """simple docstring"""


 _lowercase							      =list(range(10     ,						0     ,						-1						)						)
 print('''Initial List'''						)
 print(*__snake_case						)
 _lowercase							      =odd_even_transposition(__snake_case						)
 print('''Sorted List\n'''						)
 print(*__snake_case						)


if __name__ == "__main__":
  main()





# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCAmelCase__   	=							{
    '''configuration_efficientnet''': [
        '''EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EfficientNetConfig''',
        '''EfficientNetOnnxConfig''',
    ]
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__   	=							['''EfficientNetImageProcessor''']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase__   	=							[
      '''EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''EfficientNetForImageClassification''',
      '''EfficientNetModel''',
      '''EfficientNetPreTrainedModel''',
  ]

if TYPE_CHECKING:
  from .configuration_efficientnet import (
      EFFICIENTNET_PRETRAINED_CONFIG_ARCHIVE_MAP,
      EfficientNetConfig,
      EfficientNetOnnxConfig,
  )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_efficientnet import EfficientNetImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_efficientnet import (
        EFFICIENTNET_PRETRAINED_MODEL_ARCHIVE_LIST,
        EfficientNetForImageClassification,
        EfficientNetModel,
        EfficientNetPreTrainedModel,
    )

else:
  import sys

  UpperCAmelCase__   	=							_LazyModule(__name__, globals()['''__file__'''], _import_structure)

