'''simple docstring'''


from multiprocessing import Lock, Pipe, Process

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


def  _lowerCamelCase   (				lowerCamelCase_ :							List[Any]     ,					lowerCamelCase_ :							Union[str, Any]     ,					lowerCamelCase_ :							Optional[int]     ,					lowerCamelCase_ :							Union[str, Any]     ,					lowerCamelCase_ :							int     ,					lowerCamelCase_ :							List[Any]     ,					lowerCamelCase_ :							Optional[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(lowerCamelCase_       )
               process_lock.release()

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

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

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


def  _lowerCamelCase   (				lowerCamelCase_ :							Optional[int]       ):



     """simple docstring"""





     UpperCAmelCase_							:       Optional[Any]       =				[]
     UpperCAmelCase_							:       Union[str, Any]       =				[]
     # 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_							:       Tuple       =				Pipe()
     UpperCAmelCase_							:       int       =				Pipe()
     process_array_.append(
         Process(
             target=lowerCamelCase_     ,					args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])     ,					)       )
     UpperCAmelCase_							:       List[Any]       =				temp_rs
     UpperCAmelCase_							:       Dict       =				temp_rr

     for i in range(1     ,					len(lowerCamelCase_       ) - 1       ):
          UpperCAmelCase_							:       Union[str, Any]       =				Pipe()
          UpperCAmelCase_							:       List[Any]       =				Pipe()
          process_array_.append(
              Process(
                  target=lowerCamelCase_     ,					args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])     ,					)       )
          UpperCAmelCase_							:       Union[str, Any]       =				temp_rs
          UpperCAmelCase_							:       int       =				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_       )       ):
          UpperCAmelCase_							:       Optional[int]       =				result_pipe[p][0].recv()
          process_array_[p].join()
     return arr


def  _lowerCamelCase   (				):



     """simple docstring"""





     UpperCAmelCase_							:       List[Any]       =				list(range(10     ,					0     ,					-1       )       )
     print('Initial List'       )
     print(*lowerCamelCase_       )
     UpperCAmelCase_							:       List[str]       =				odd_even_transposition(lowerCamelCase_       )
     print('Sorted List\n'       )
     print(*lowerCamelCase_       )


if __name__ == "__main__":
 main()







'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


snake_case__					:      Dict				      =  {
    '''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
    '''albert-large-v1''': '''https://huggingface.co/albert-large-v1/resolve/main/config.json''',
    '''albert-xlarge-v1''': '''https://huggingface.co/albert-xlarge-v1/resolve/main/config.json''',
    '''albert-xxlarge-v1''': '''https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json''',
    '''albert-base-v2''': '''https://huggingface.co/albert-base-v2/resolve/main/config.json''',
    '''albert-large-v2''': '''https://huggingface.co/albert-large-v2/resolve/main/config.json''',
    '''albert-xlarge-v2''': '''https://huggingface.co/albert-xlarge-v2/resolve/main/config.json''',
    '''albert-xxlarge-v2''': '''https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json''',
}






class 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_	):







  '''simple docstring'''






  lowerCamelCase_		:str						   =		'''albert'''


  def __init__(			self				,		snake_case_=3_0_0_0_0				,		snake_case_=1_2_8				,		snake_case_=4_0_9_6				,		snake_case_=1_2				,		snake_case_=1				,		snake_case_=6_4				,		snake_case_=1_6_3_8_4				,		snake_case_=1				,		snake_case_="gelu_new"				,		snake_case_=0				,		snake_case_=0				,		snake_case_=5_1_2				,		snake_case_=2				,		snake_case_=0.02				,		snake_case_=1E-12				,		snake_case_=0.1				,		snake_case_="absolute"				,		snake_case_=0				,		snake_case_=2				,		snake_case_=3				,		**snake_case_				,		):




       '''simple docstring'''

       super().__init__(pad_token_id=snake_case_				,		bos_token_id=snake_case_				,		eos_token_id=snake_case_				,		**snake_case_						)

       UpperCAmelCase_							:       List[Any]       =				vocab_size
       UpperCAmelCase_							:       Dict       =				embedding_size
       UpperCAmelCase_							:       str       =				hidden_size
       UpperCAmelCase_							:       Any       =				num_hidden_layers
       UpperCAmelCase_							:       Union[str, Any]       =				num_hidden_groups
       UpperCAmelCase_							:       List[str]       =				num_attention_heads
       UpperCAmelCase_							:       Any       =				inner_group_num
       UpperCAmelCase_							:       Optional[int]       =				hidden_act
       UpperCAmelCase_							:       Tuple       =				intermediate_size
       UpperCAmelCase_							:       Any       =				hidden_dropout_prob
       UpperCAmelCase_							:       List[str]       =				attention_probs_dropout_prob
       UpperCAmelCase_							:       Union[str, Any]       =				max_position_embeddings
       UpperCAmelCase_							:       Dict       =				type_vocab_size
       UpperCAmelCase_							:       Union[str, Any]       =				initializer_range
       UpperCAmelCase_							:       Optional[Any]       =				layer_norm_eps
       UpperCAmelCase_							:       Dict       =				classifier_dropout_prob
       UpperCAmelCase_							:       Tuple       =				position_embedding_type







class 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_	):







  '''simple docstring'''






  @property
  def _UpperCamelCase					(			self						):




       '''simple docstring'''

       if self.task == "multiple-choice":
            UpperCAmelCase_							:       Optional[Any]       =				{0: 'batch', 1: 'choice', 2: 'sequence'}
       else:
            UpperCAmelCase_							:       List[Any]       =				{0: 'batch', 1: 'sequence'}
       return OrderedDict(
           [
               ('input_ids', dynamic_axis),
               ('attention_mask', dynamic_axis),
               ('token_type_ids', dynamic_axis),
           ]						)






