'''simple docstring'''







from multiprocessing import Lock, Pipe, Process

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


def    lowerCamelCase       (			UpperCAmelCase__				:  Optional[Any]				,						UpperCAmelCase__				:  Union[str, Any]				,						UpperCAmelCase__				:  Dict				,						UpperCAmelCase__				:  Optional[Any]				,						UpperCAmelCase__				:  List[Any]				,						UpperCAmelCase__				:  Optional[Any]				,						UpperCAmelCase__				:  str		)			->	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				,						1_0		):
														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()
																					SCREAMING_SNAKE_CASE__     :str						    = rr_cv[0].recv()
																					process_lock.release()

																					# take the lower value since you are on the left
																					SCREAMING_SNAKE_CASE__     :Any						    = 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()
																					SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = lr_cv[0].recv()
																					process_lock.release()

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


def    lowerCamelCase       (			UpperCAmelCase__				:  Dict		)			->	List[Any]:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = []
							SCREAMING_SNAKE_CASE__     :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
							SCREAMING_SNAKE_CASE__     :int						    = Pipe()
							SCREAMING_SNAKE_CASE__     :Dict						    = Pipe()
							process_array_.append(
							    Process(
							        target=UpperCAmelCase__				,						args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])				,						)		)
							SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = temp_rs
							SCREAMING_SNAKE_CASE__     :Dict						    = temp_rr

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


def    lowerCamelCase       (			)			->	Tuple:


							'''simple docstring'''






							SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = list(range(1_0				,						0				,						-1		)		)
							print('Initial List'		)
							print(*UpperCAmelCase__		)
							SCREAMING_SNAKE_CASE__     :Any						    = odd_even_transposition(UpperCAmelCase__		)
							print('Sorted List\n'		)
							print(*UpperCAmelCase__		)


if __name__ == "__main__":
		main()







'''simple docstring'''







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


UpperCamelCase_      	=	logging.get_logger(__name__)

UpperCamelCase_      	=	{
    '''EleutherAI/gpt-neox-20b''': '''https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json''',
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}




class _SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE					):
						A_			:							Union[str, Any]     		= 'gpt_neox'




						def __init__(    self :       List[str]							,							UpperCamelCase_ :       int=5_04_32							,							UpperCamelCase_ :       Dict=61_44							,							UpperCamelCase_ :       int=44							,							UpperCamelCase_ :       Any=64							,							UpperCamelCase_ :       Optional[int]=2_45_76							,							UpperCamelCase_ :       str="gelu"							,							UpperCamelCase_ :       Tuple=0.25							,							UpperCamelCase_ :       Tuple=1_00_00							,							UpperCamelCase_ :       Tuple=0.0							,							UpperCamelCase_ :       Optional[int]=0.0							,							UpperCamelCase_ :       str=0.1							,							UpperCamelCase_ :       List[Any]=20_48							,							UpperCamelCase_ :       List[str]=0.02							,							UpperCamelCase_ :       Optional[int]=1e-5							,							UpperCamelCase_ :       List[str]=True							,							UpperCamelCase_ :       Optional[Any]=0							,							UpperCamelCase_ :       str=2							,							UpperCamelCase_ :       str=False							,							UpperCamelCase_ :       Union[str, Any]=True							,							UpperCamelCase_ :       Tuple=None							,							**UpperCamelCase_ :       Any							,							)     ->				int:
													super().__init__(bos_token_id=UpperCamelCase_							,							eos_token_id=UpperCamelCase_							,							**UpperCamelCase_      )
													SCREAMING_SNAKE_CASE__     :int						    = vocab_size
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = max_position_embeddings
													SCREAMING_SNAKE_CASE__     :List[Any]						    = hidden_size
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = num_hidden_layers
													SCREAMING_SNAKE_CASE__     :Dict						    = num_attention_heads
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = intermediate_size
													SCREAMING_SNAKE_CASE__     :Dict						    = hidden_act
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = rotary_pct
													SCREAMING_SNAKE_CASE__     :Any						    = rotary_emb_base
													SCREAMING_SNAKE_CASE__     :Dict						    = attention_dropout
													SCREAMING_SNAKE_CASE__     :Tuple						    = hidden_dropout
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = classifier_dropout
													SCREAMING_SNAKE_CASE__     :Dict						    = initializer_range
													SCREAMING_SNAKE_CASE__     :List[str]						    = layer_norm_eps
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = use_cache
													SCREAMING_SNAKE_CASE__     :Any						    = tie_word_embeddings
													SCREAMING_SNAKE_CASE__     :List[str]						    = use_parallel_residual
													SCREAMING_SNAKE_CASE__     :int						    = rope_scaling
													self._rope_scaling_validation()

													if self.hidden_size % self.num_attention_heads != 0:
																				raise ValueError(
																				    'The hidden size is not divisble by the number of attention heads! Make sure to update them!'      )




						def      __lowerCamelCase       (    self :       Optional[Any]      )     ->				Union[str, Any]:
													if self.rope_scaling is None:
																				return

													if not isinstance(self.rope_scaling							,							UpperCamelCase_      ) or len(self.rope_scaling      ) != 2:
																				raise ValueError(
																				    '`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '
																				    f'''got {self.rope_scaling}'''      )
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = self.rope_scaling.get('type'							,							UpperCamelCase_      )
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = self.rope_scaling.get('factor'							,							UpperCamelCase_      )
													if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
																				raise ValueError(
																				    f'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''      )
													if rope_scaling_factor is None or not isinstance(UpperCamelCase_							,							UpperCamelCase_      ) or rope_scaling_factor <= 1.0:
																				raise ValueError(f'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''      )






