def      SCREAMING_SNAKE_CASE_  (		snake_case__     ,						snake_case__							)  ->			int:
							return (input_a, input_a).count(0							) % 2

def      SCREAMING_SNAKE_CASE_  (		)  ->			None:
							assert xor_gate(0     ,						0							) == 0
							assert xor_gate(0     ,						1							) == 1
							assert xor_gate(1     ,						0							) == 1
							assert xor_gate(1     ,						1							) == 0


if __name__ == "__main__":
	print(xor_gate(0, 0))
	print(xor_gate(0, 1))




from typing import Callable, Optional, Union

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


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

lowercase__    :       Union[str, Any]						=			{
    '''microsoft/prophetnet-large-uncased''': (
        '''https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json'''
    ),
}




class      lowercase_						(						UpperCamelCase_		):



	"""simple docstring"""





	UpperCAmelCase_						:      Optional[int]     =       """prophetnet"""
	UpperCAmelCase_						:      Optional[int]     =       ["""past_key_values"""]
	UpperCAmelCase_						:      Any     =       {
	    """num_attention_heads""": """num_encoder_attention_heads""",
	}


	def __init__(							self	,    __SCREAMING_SNAKE_CASE = 0.1	,    __SCREAMING_SNAKE_CASE = "gelu"	,    __SCREAMING_SNAKE_CASE = 30522	,    __SCREAMING_SNAKE_CASE = 1024	,    __SCREAMING_SNAKE_CASE = 4096	,    __SCREAMING_SNAKE_CASE = 12	,    __SCREAMING_SNAKE_CASE = 16	,    __SCREAMING_SNAKE_CASE = 4096	,    __SCREAMING_SNAKE_CASE = 12	,    __SCREAMING_SNAKE_CASE = 16	,    __SCREAMING_SNAKE_CASE = 0.1	,    __SCREAMING_SNAKE_CASE = 0.1	,    __SCREAMING_SNAKE_CASE = 512	,    __SCREAMING_SNAKE_CASE = 0.0_2	,    __SCREAMING_SNAKE_CASE = True	,    __SCREAMING_SNAKE_CASE = True	,    __SCREAMING_SNAKE_CASE = 0	,    __SCREAMING_SNAKE_CASE = 2	,    __SCREAMING_SNAKE_CASE = 32	,    __SCREAMING_SNAKE_CASE = 128	,    __SCREAMING_SNAKE_CASE = False	,    __SCREAMING_SNAKE_CASE = 0.0	,    __SCREAMING_SNAKE_CASE = True	,    __SCREAMING_SNAKE_CASE = 0	,    __SCREAMING_SNAKE_CASE = 1	,    __SCREAMING_SNAKE_CASE = 2	,    **__SCREAMING_SNAKE_CASE	,    )		->int:
								lowerCAmelCase				=	vocab_size
								lowerCAmelCase				=	hidden_size
								lowerCAmelCase				=	encoder_ffn_dim
								lowerCAmelCase				=	num_encoder_layers
								lowerCAmelCase				=	num_encoder_attention_heads
								lowerCAmelCase				=	decoder_ffn_dim
								lowerCAmelCase				=	num_decoder_layers
								lowerCAmelCase				=	num_decoder_attention_heads
								lowerCAmelCase				=	max_position_embeddings
								lowerCAmelCase				=	init_std  # Normal(0, this parameter)
								lowerCAmelCase				=	activation_function

								# parameters for prophetnet
								lowerCAmelCase				=	ngram
								lowerCAmelCase				=	num_buckets
								lowerCAmelCase				=	relative_max_distance
								lowerCAmelCase				=	disable_ngram_loss
								lowerCAmelCase				=	eps

								# 3 Types of Dropout
								lowerCAmelCase				=	attention_dropout
								lowerCAmelCase				=	activation_dropout
								lowerCAmelCase				=	dropout

								lowerCAmelCase				=	use_cache

								super().__init__(
								    pad_token_id=__SCREAMING_SNAKE_CASE	,    bos_token_id=__SCREAMING_SNAKE_CASE	,    eos_token_id=__SCREAMING_SNAKE_CASE	,    is_encoder_decoder=__SCREAMING_SNAKE_CASE	,    add_cross_attention=__SCREAMING_SNAKE_CASE	,    decoder_start_token_id=__SCREAMING_SNAKE_CASE	,    **__SCREAMING_SNAKE_CASE	,    )


	@property
	def     SCREAMING_SNAKE_CASE_       (							self       )		->int:
								return self.num_encoder_layers + self.num_decoder_layers




	@num_hidden_layers.setter
	def     SCREAMING_SNAKE_CASE_       (							self	,    __SCREAMING_SNAKE_CASE       )		->Union[str, Any]:
								raise NotImplementedError(
								    '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
								    ''' `num_decoder_layers`.'''       )



