





from typing import Callable, Optional, Union

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


snake_case_     :   Tuple							=			logging.get_logger(__name__)

snake_case_     :   Optional[int]							=			{
    '''microsoft/xprophetnet-large-wiki100-cased''': (
        '''https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json'''
    ),
}
class        snake_case_		(			_UpperCAmelCase):
		lowerCamelCase    :Any						=     """xlm-prophetnet"""
		lowerCamelCase    :Union[str, Any]						=     ["""past_key_values"""]
		lowerCamelCase    :Optional[int]						=     {
		    """num_attention_heads""": """num_encoder_attention_heads""",
		}







		def __init__(		self			,     __lowercase = 0.1			,     __lowercase = "gelu"			,     __lowercase = 3_0_5_2_2			,     __lowercase = 1_0_2_4			,     __lowercase = 4_0_9_6			,     __lowercase = 1_2			,     __lowercase = 1_6			,     __lowercase = 4_0_9_6			,     __lowercase = 1_2			,     __lowercase = 1_6			,     __lowercase = 0.1			,     __lowercase = 0.1			,     __lowercase = 5_1_2			,     __lowercase = 0.0_2			,     __lowercase = True			,     __lowercase = True			,     __lowercase = 0			,     __lowercase = 2			,     __lowercase = 3_2			,     __lowercase = 1_2_8			,     __lowercase = False			,     __lowercase = 0.0			,     __lowercase = True			,     __lowercase = 0			,     __lowercase = 1			,     __lowercase = 2			,     **__lowercase			,     )				->   Dict:
				lowerCamelCase   : Dict								=vocab_size
				lowerCamelCase   : Optional[int]								=hidden_size
				lowerCamelCase   : Tuple								=encoder_ffn_dim
				lowerCamelCase   : Optional[Any]								=num_encoder_layers
				lowerCamelCase   : Dict								=num_encoder_attention_heads
				lowerCamelCase   : Dict								=decoder_ffn_dim
				lowerCamelCase   : Union[str, Any]								=num_decoder_layers
				lowerCamelCase   : Tuple								=num_decoder_attention_heads
				lowerCamelCase   : Optional[int]								=max_position_embeddings
				lowerCamelCase   : str								=init_std  # Normal(0, this parameter)
				lowerCamelCase   : Optional[Any]								=activation_function

				# parameters for xlmprophetnet
				lowerCamelCase   : Dict								=ngram
				lowerCamelCase   : List[Any]								=num_buckets
				lowerCamelCase   : Union[str, Any]								=relative_max_distance
				lowerCamelCase   : Optional[int]								=disable_ngram_loss
				lowerCamelCase   : Optional[int]								=eps

				# 3 Types of Dropout
				lowerCamelCase   : Optional[Any]								=attention_dropout
				lowerCamelCase   : Optional[int]								=activation_dropout
				lowerCamelCase   : Any								=dropout

				lowerCamelCase   : Tuple								=use_cache

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







		@property
		def 			__lowercase   (		self   )				->   Union[str, Any]:
				return self.num_encoder_layers + self.num_decoder_layers







		@num_hidden_layers.setter
		def 			__lowercase   (		self			,     __lowercase   )				->   Dict:
				raise NotImplementedError(
				    '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
				    ''' `num_decoder_layers`.'''   )








def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     bool:
		lowerCamelCase   : Optional[Any]								=[int(SCREAMING_SNAKE_CASE_		) for i in ip_va_address.split('''.'''		) if i.isdigit()]
		return len(SCREAMING_SNAKE_CASE_		) == 4 and all(0 <= int(SCREAMING_SNAKE_CASE_		) <= 2_5_4 for octet in octets		)


if __name__ == "__main__":
				snake_case_							=			input().strip()
				snake_case_							=			'''valid''' if is_ip_va_address_valid(ip) else '''invalid'''
				print(F"""{ip} is a {valid_or_invalid} IP v4 address.""")

