






from multiprocessing import Lock, Pipe, Process

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






def 	UpperCamelCase	(							snake_case__  : Optional[Any]						,snake_case__  : Optional[Any]						,snake_case__  : List[str]						,snake_case__  : List[Any]						,snake_case__  : List[Any]						,snake_case__  : str						,snake_case__  : Tuple	):




     '''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()
               __snake_case      :List[str] 							=    rr_cv[0].recv()
               process_lock.release()

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

               # take the higher value since you are on the right
               __snake_case      :Optional[int] 							=    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__  : Optional[Any]	):




     '''simple docstring'''






     __snake_case      :Optional[Any] 							=    []
     __snake_case      :Tuple 							=    []
     # 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
     __snake_case      :Tuple 							=    Pipe()
     __snake_case      :Optional[Any] 							=    Pipe()
     process_array_.append(
         Process(
             target=snake_case__						,args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])						,)	)
     __snake_case      :int 							=    temp_rs
     __snake_case      :List[Any] 							=    temp_rr

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






def 	UpperCamelCase	(							):




     '''simple docstring'''






     __snake_case      :List[Any] 							=    list(range(10						,0						,-1	)	)
     print("""Initial List"""	)
     print(*snake_case__	)
     __snake_case      :Any 							=    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 Audio, ClassLabel, Features
from .base import TaskTemplate




@dataclass(frozen=lowercase_)
class       snake_case__ (				lowercase_):

       '''simple docstring'''
       lowerCamelCase				:					str								=			field(default="audio-classification"						,     metadata={"include_in_asdict_even_if_is_default": True})
       lowerCamelCase				:					ClassVar[Features]								=			Features({"audio": Audio()})
       lowerCamelCase				:					ClassVar[Features]								=			Features({"labels": ClassLabel})
       lowerCamelCase				:					str								=			"audio"
       lowerCamelCase				:					str								=			"labels"



       def        __lowercase    (				self      ,    a__     )			->   Dict:






            '''simple docstring'''





            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.'''     )
            __snake_case      :Any 							=    copy.deepcopy(self     )
            __snake_case      :List[Any] 							=    self.label_schema.copy()
            __snake_case      :List[Any] 							=    features[self.label_column]
            __snake_case      :Optional[Any] 							=    label_schema
            return task_template



       @property
       def        __lowercase    (				self     )			->   Dict[str, str]:






            '''simple docstring'''





            return {
                self.audio_column: "audio",
                self.label_column: "labels",
            }


