


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


__UpperCamelCase    		=       logging.get_logger(__name__)

__UpperCamelCase    		=       {
    'transfo-xl-wt103': 'https://huggingface.co/transfo-xl-wt103/resolve/main/config.json',
}







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					int    =		'transfo-xl'
			_UpperCamelCase		:					Tuple    =		['mems']
			_UpperCamelCase		:					Any    =		{
			    'n_token': 'vocab_size',
			    'hidden_size': 'd_model',
			    'num_attention_heads': 'n_head',
			    'num_hidden_layers': 'n_layer',
			}




			def __init__(							self      ,						snake_case=267735      ,						snake_case=[20000, 40000, 200000]      ,						snake_case=1024      ,						snake_case=1024      ,						snake_case=16      ,						snake_case=64      ,						snake_case=4096      ,						snake_case=4      ,						snake_case=False      ,						snake_case=18      ,						snake_case=1600      ,						snake_case=1000      ,						snake_case=True      ,						snake_case=True      ,						snake_case=0      ,						snake_case=-1      ,						snake_case=True      ,						snake_case=0.1      ,						snake_case=0.0      ,						snake_case=True      ,						snake_case="normal"      ,						snake_case=0.01      ,						snake_case=0.01      ,						snake_case=0.02      ,						snake_case=1E-5      ,						snake_case=0      ,						**snake_case      ,						):

						'''simple docstring'''


						UpperCamelCase__					=       vocab_size
						UpperCamelCase__					=       []
						self.cutoffs.extend(snake_case     )
						if proj_share_all_but_first:
									UpperCamelCase__					=       [False] + [True] * len(self.cutoffs     )
						else:
									UpperCamelCase__					=       [False] + [False] * len(self.cutoffs     )
						UpperCamelCase__					=       d_model
						UpperCamelCase__					=       d_embed
						UpperCamelCase__					=       d_head
						UpperCamelCase__					=       d_inner
						UpperCamelCase__					=       div_val
						UpperCamelCase__					=       pre_lnorm
						UpperCamelCase__					=       n_layer
						UpperCamelCase__					=       n_head
						UpperCamelCase__					=       mem_len
						UpperCamelCase__					=       same_length
						UpperCamelCase__					=       attn_type
						UpperCamelCase__					=       clamp_len
						UpperCamelCase__					=       sample_softmax
						UpperCamelCase__					=       adaptive
						UpperCamelCase__					=       dropout
						UpperCamelCase__					=       dropatt
						UpperCamelCase__					=       untie_r
						UpperCamelCase__					=       init
						UpperCamelCase__					=       init_range
						UpperCamelCase__					=       proj_init_std
						UpperCamelCase__					=       init_std
						UpperCamelCase__					=       layer_norm_epsilon
						super().__init__(eos_token_id=snake_case      ,						**snake_case     )




			@property
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						logger.info(F'''The model {self.model_type} is one of the few models that has no sequence length limit.'''     )
						return -1







			@max_position_embeddings.setter
			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						raise NotImplementedError(
						    F'''The model {self.model_type} is one of the few models that has no sequence length limit.'''     )






def        UpperCamelCase_(				_A   :int				,     _A   :int  )->		str:
			if number < 0 or shift_amount < 0:
						raise ValueError("both inputs must be positive integers"  )

			UpperCamelCase__					=       str(bin(_A  )  )
			binary_number += "0" * shift_amount
			return binary_number
def        UpperCamelCase_(				_A   :int				,     _A   :int  )->		str:
			if number < 0 or shift_amount < 0:
						raise ValueError("both inputs must be positive integers"  )

			UpperCamelCase__					=       str(bin(_A  )  )[2:]
			if shift_amount >= len(_A  ):
						return "0b0"
			UpperCamelCase__					=       binary_number[: len(_A  ) - shift_amount]
			return "0b" + shifted_binary_number
def        UpperCamelCase_(				_A   :int				,     _A   :int  )->		str:
			if number >= 0:  # Get binary representation of positive number
						UpperCamelCase__					=       "0" + str(bin(_A  )  ).strip("-"  )[2:]
			else:  # Get binary (2's complement) representation of negative number
						UpperCamelCase__					=       len(bin(_A  )[3:]  )  # Find 2's complement of number
						UpperCamelCase__					=       bin(abs(_A  ) - (1 << binary_number_length)  )[3:]
						UpperCamelCase__					=       (
						    "1" + "0" * (binary_number_length - len(_A  )) + binary_number
						)

			if shift_amount >= len(_A  ):
						return "0b" + binary_number[0] * len(_A  )
			return (
			    "0b"
			    + binary_number[0] * shift_amount
			    + binary_number[: len(_A  ) - shift_amount]
			)


if __name__ == "__main__":
						import doctest

						doctest.testmod()


