

from multiprocessing import Lock, Pipe, Process

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



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase					)							->     List[Any]:



  """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(_UpperCamelCase					)
      process_lock.release()

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

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

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

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



def 				snake_case_(_UpperCamelCase					)							->     Optional[int]:



  """simple docstring"""






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

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

  process_array_.append(
      Process(
          target=_UpperCamelCase			,	args=(
              len(_UpperCamelCase					) - 1,
              arr[len(_UpperCamelCase					) - 1],
              temp_ls,
              None,
              temp_lr,
              None,
              result_pipe[len(_UpperCamelCase					) - 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(_UpperCamelCase					)					):
    _snake_case						=							result_pipe[p][0].recv()
    process_array_[p].join()
  return arr



def 				snake_case_()							->     str:



  """simple docstring"""






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


if __name__ == "__main__":
 main()




from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


__A      		=     logging.get_logger(__name__)

__A      		=     {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__A      		=     {
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

__A      		=     {'''allegro/herbert-base-cased''': 5_14}
__A      		=     {}



class   lowercase_   (  __lowercase					):
      UpperCamelCase_      :		Any										=    VOCAB_FILES_NAMES
      UpperCamelCase_      :		Optional[int]										=    PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase_      :		List[str]										=    PRETRAINED_INIT_CONFIGURATION
      UpperCamelCase_      :		Dict										=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase_      :		Optional[Any]										=    HerbertTokenizer



      def __init__(      self				:    Tuple      , A__				:    str=None      , A__				:    Optional[Any]=None      , A__				:    Union[str, Any]=None      , A__				:    Optional[int]="<s>"      , A__				:    Optional[int]="<unk>"      , A__				:    str="<pad>"      , A__				:    List[Any]="<mask>"      , A__				:    Dict="</s>"      , **A__				:    Optional[int]      , )   ->					Optional[int]:
        super().__init__(
            A__      , A__      , tokenizer_file=A__      , cls_token=A__      , unk_token=A__      , pad_token=A__      , mask_token=A__      , sep_token=A__      , **A__      , )



      def 						UpperCamelCase_		(      self				:    str      , A__				:    List[int]      , A__				:    Optional[List[int]] = None		)   ->					List[int]:
        _snake_case						=							[self.cls_token_id]
        _snake_case						=							[self.sep_token_id]
        if token_ids_a is None:
          return cls + token_ids_a + sep

        return cls + token_ids_a + sep + token_ids_a + sep



      def 						UpperCamelCase_		(      self				:    Tuple      , A__				:    List[int]      , A__				:    Optional[List[int]] = None      , A__				:    bool = False		)   ->					List[int]:
        if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=A__      , token_ids_a=A__      , already_has_special_tokens=A__		)

        if token_ids_a is None:
          return [1] + ([0] * len(A__		)) + [1]
        return [1] + ([0] * len(A__		)) + [1] + ([0] * len(A__		)) + [1]



      def 						UpperCamelCase_		(      self				:    Any      , A__				:    List[int]      , A__				:    Optional[List[int]] = None		)   ->					List[int]:
        _snake_case						=							[self.sep_token_id]
        _snake_case						=							[self.cls_token_id]

        if token_ids_a is None:
          return len(cls + token_ids_a + sep		) * [0]
        return len(cls + token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]







      def 						UpperCamelCase_		(      self				:    Union[str, Any]      , A__				:    str      , A__				:    Optional[str] = None		)   ->					Tuple[str]:
        _snake_case						=							self._tokenizer.model.save(A__      , name=A__		)
        return tuple(A__		)

