



'''simple docstring'''





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    _SCREAMING_SNAKE_CASE  (       UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase			):



    """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()
            lowerCAmelCase__ :  Any							      =					rr_cv[0].recv()
            process_lock.release()

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

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



    """simple docstring"""





    lowerCAmelCase__ :  List[Any]							      =					[]
    lowerCAmelCase__ :  str							      =					[]
    # 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
    lowerCAmelCase__ :  List[str]							      =					Pipe()
    lowerCAmelCase__ :  Dict							      =					Pipe()
    process_array_.append(
        Process(
            target=UpperCamelCase							,    args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])							,    )			)
    lowerCAmelCase__ :  Union[str, Any]							      =					temp_rs
    lowerCAmelCase__ :  Dict							      =					temp_rr

    for i in range(1							,    len(UpperCamelCase			) - 1			):
        lowerCAmelCase__ :  List[Any]							      =					Pipe()
        lowerCAmelCase__ :  Dict							      =					Pipe()
        process_array_.append(
            Process(
                target=UpperCamelCase							,    args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])							,    )			)
        lowerCAmelCase__ :  Dict							      =					temp_rs
        lowerCAmelCase__ :  Optional[Any]							      =					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			)			):
        lowerCAmelCase__ :  List[Any]							      =					result_pipe[p][0].recv()
        process_array_[p].join()
    return arr
def    _SCREAMING_SNAKE_CASE  (       ):



    """simple docstring"""





    lowerCAmelCase__ :  List[Any]							      =					list(range(10							,    0							,    -1			)			)
    print("""Initial List"""			)
    print(*UpperCamelCase			)
    lowerCAmelCase__ :  str							      =					odd_even_transposition(UpperCamelCase			)
    print("""Sorted List\n"""			)
    print(*UpperCamelCase			)


if __name__ == "__main__":
 main()









from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase	:	Optional[Any]		     =       logging.get_logger(__name__)

UpperCAmelCase	:	Optional[int]		     =       {
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}







class 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					List[Any]						=			"""canine"""







      def __init__(    self		,      lowerCAmelCase__=7_6_8		,      lowerCAmelCase__=1_2		,      lowerCAmelCase__=1_2		,      lowerCAmelCase__=3_0_7_2		,      lowerCAmelCase__="gelu"		,      lowerCAmelCase__=0.1		,      lowerCAmelCase__=0.1		,      lowerCAmelCase__=1_6_3_8_4		,      lowerCAmelCase__=1_6		,      lowerCAmelCase__=0.02		,      lowerCAmelCase__=1E-12		,      lowerCAmelCase__=0		,      lowerCAmelCase__=0XE0_00		,      lowerCAmelCase__=0XE0_01		,      lowerCAmelCase__=4		,      lowerCAmelCase__=4		,      lowerCAmelCase__=8		,      lowerCAmelCase__=1_6_3_8_4		,      lowerCAmelCase__=1_2_8		,      **lowerCAmelCase__		,      )   ->						Dict:



        '''simple docstring'''




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

        a__	:					Optional[int]										=max_position_embeddings
        a__	:					str										=hidden_size
        a__	:					Optional[Any]										=num_hidden_layers
        a__	:					Tuple										=num_attention_heads
        a__	:					Optional[Any]										=intermediate_size
        a__	:					Optional[int]										=hidden_act
        a__	:					List[Any]										=hidden_dropout_prob
        a__	:					Union[str, Any]										=attention_probs_dropout_prob
        a__	:					Optional[Any]										=initializer_range
        a__	:					Union[str, Any]										=type_vocab_size
        a__	:					Optional[int]										=layer_norm_eps

        # Character config:
        a__	:					int										=downsampling_rate
        a__	:					Optional[Any]										=upsampling_kernel_size
        a__	:					Union[str, Any]										=num_hash_functions
        a__	:					Any										=num_hash_buckets
        a__	:					int										=local_transformer_stride






