


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__					:     Union[str, Any]       =     Lock()




def    a__    (		snake_case__					:							List[Any]						,   snake_case__					:							List[str]						,   snake_case__					:							Tuple						,   snake_case__					:							Tuple						,   snake_case__					:							Dict						,   snake_case__					:							Tuple						,   snake_case__					:							Optional[int]     ):
  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()
      _UpperCAmelCase		:							Dict							=     rr_cv[0].recv()
      process_lock.release()

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

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




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

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




def    a__    (		):
  _UpperCAmelCase		:							Optional[int]							=     list(range(10						,   0						,   -1     )     )
  print("""Initial List"""     )
  print(*snake_case__     )
  _UpperCAmelCase		:							Dict							=     odd_even_transposition(snake_case__     )
  print("""Sorted List\n"""     )
  print(*snake_case__     )


if __name__ == "__main__":
 main()









import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Image
from .base import TaskTemplate


@dataclass(frozen=A     )
class 		_SCREAMING_SNAKE_CASE     (						A     ):
     __SCREAMING_SNAKE_CASE     					=    field(default='''image-classification'''							,	metadata={'''include_in_asdict_even_if_is_default''': True}     )
     __SCREAMING_SNAKE_CASE     					=    Features({'''image''': Image()}     )
     __SCREAMING_SNAKE_CASE     					=    Features({'''labels''': ClassLabel}     )
     __SCREAMING_SNAKE_CASE     					=    "image"
     __SCREAMING_SNAKE_CASE     					=    "labels"


     def        __snake_case(  self							,					A_    ):
       if self.label_column not in features:
         raise ValueError(F'''Column {self.label_column} is not present in features.'''    )
       if not isinstance(features[self.label_column]							,					A_    ):
         raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''    )
       _UpperCAmelCase		:							Tuple							=     copy.deepcopy(self    )
       _UpperCAmelCase		:							str							=     self.label_schema.copy()
       _UpperCAmelCase		:							Optional[Any]							=     features[self.label_column]
       _UpperCAmelCase		:							int							=     label_schema
       return task_template




     @property
     def        __snake_case(  self    ):
       return {
           self.image_column: "image",
           self.label_column: "labels",
       }





