
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      lowerCamelCase__       (       __lowerCAmelCase						:						Tuple					,							__lowerCAmelCase						:						Optional[Any]					,							__lowerCAmelCase						:						Tuple					,							__lowerCAmelCase						:						Dict					,							__lowerCAmelCase						:						Union[str, Any]					,							__lowerCAmelCase						:						Optional[Any]					,							__lowerCAmelCase						:						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(__lowerCAmelCase       )
									process_lock.release()

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

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

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






def      lowerCamelCase__       (       __lowerCAmelCase						:						Any       ):




			"""simple docstring"""


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

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






def      lowerCamelCase__       (       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			list(range(10					,							0					,							-1       )       )
			print("Initial List"       )
			print(*__lowerCAmelCase       )
			lowerCAmelCase_      			=			odd_even_transposition(__lowerCAmelCase       )
			print("Sorted List\n"       )
			print(*__lowerCAmelCase       )


if __name__ == "__main__":
			main()




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_A     =  logging.get_logger(__name__)

_A     =  {
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    "bert-large-uncased": "https://huggingface.co/bert-large-uncased/resolve/main/config.json",
    "bert-base-cased": "https://huggingface.co/bert-base-cased/resolve/main/config.json",
    "bert-large-cased": "https://huggingface.co/bert-large-cased/resolve/main/config.json",
    "bert-base-multilingual-uncased": "https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json",
    "bert-base-multilingual-cased": "https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json",
    "bert-base-chinese": "https://huggingface.co/bert-base-chinese/resolve/main/config.json",
    "bert-base-german-cased": "https://huggingface.co/bert-base-german-cased/resolve/main/config.json",
    "bert-large-uncased-whole-word-masking": (
        "https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json"
    ),
    "bert-large-cased-whole-word-masking": (
        "https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json"
    ),
    "bert-large-uncased-whole-word-masking-finetuned-squad": (
        "https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json"
    ),
    "bert-large-cased-whole-word-masking-finetuned-squad": (
        "https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json"
    ),
    "bert-base-cased-finetuned-mrpc": "https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json",
    "bert-base-german-dbmdz-cased": "https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json",
    "bert-base-german-dbmdz-uncased": "https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json",
    "cl-tohoku/bert-base-japanese": "https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json",
    "cl-tohoku/bert-base-japanese-whole-word-masking": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json"
    ),
    "cl-tohoku/bert-base-japanese-char": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json"
    ),
    "cl-tohoku/bert-base-japanese-char-whole-word-masking": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json"
    ),
    "TurkuNLP/bert-base-finnish-cased-v1": (
        "https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json"
    ),
    "TurkuNLP/bert-base-finnish-uncased-v1": (
        "https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json"
    ),
    "wietsedv/bert-base-dutch-cased": "https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json",
    # See all BERT models at https://huggingface.co/models?filter=bert
}





class 			_lowerCAmelCase      (			__a ):
				_lowercase    	='''bert'''




				def __init__(      self       ,       _UpperCamelCase=30_522       ,       _UpperCamelCase=768       ,       _UpperCamelCase=12       ,       _UpperCamelCase=12       ,       _UpperCamelCase=3_072       ,       _UpperCamelCase="gelu"       ,       _UpperCamelCase=0.1       ,       _UpperCamelCase=0.1       ,       _UpperCamelCase=512       ,       _UpperCamelCase=2       ,       _UpperCamelCase=0.02       ,       _UpperCamelCase=1e-1_2       ,       _UpperCamelCase=0       ,       _UpperCamelCase="absolute"       ,       _UpperCamelCase=True       ,       _UpperCamelCase=None       ,       **_UpperCamelCase       ,       )       ->   str:
							super().__init__(pad_token_id=_UpperCamelCase       ,       **_UpperCamelCase  )

							lowerCAmelCase_      			=			vocab_size
							lowerCAmelCase_      			=			hidden_size
							lowerCAmelCase_      			=			num_hidden_layers
							lowerCAmelCase_      			=			num_attention_heads
							lowerCAmelCase_      			=			hidden_act
							lowerCAmelCase_      			=			intermediate_size
							lowerCAmelCase_      			=			hidden_dropout_prob
							lowerCAmelCase_      			=			attention_probs_dropout_prob
							lowerCAmelCase_      			=			max_position_embeddings
							lowerCAmelCase_      			=			type_vocab_size
							lowerCAmelCase_      			=			initializer_range
							lowerCAmelCase_      			=			layer_norm_eps
							lowerCAmelCase_      			=			position_embedding_type
							lowerCAmelCase_      			=			use_cache
							lowerCAmelCase_      			=			classifier_dropout





class 			_lowerCAmelCase      (			__a ):




				@property
				def   __a		(      self  )       ->   Mapping[str, Mapping[int, str]]:
							if self.task == "multiple-choice":
										lowerCAmelCase_      			=			{0: "batch", 1: "choice", 2: "sequence"}
							else:
										lowerCAmelCase_      			=			{0: "batch", 1: "sequence"}
							return OrderedDict(
							    [
							        ("input_ids", dynamic_axis),
							        ("attention_mask", dynamic_axis),
							        ("token_type_ids", dynamic_axis),
							    ]  )



