






'''simple docstring'''







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


_A	:			str         =logging.get_logger(__name__)

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

class _lowercase	(				_lowercase		):
							a				      =       """transfo-xl"""
							a				      =       ["""mems"""]
							a				      =       {
							    """n_token""": """vocab_size""",
							    """hidden_size""": """d_model""",
							    """num_attention_heads""": """n_head""",
							    """num_hidden_layers""": """n_layer""",
							}




							def __init__(							self:				Tuple			,							UpperCamelCase__:				Optional[int]=267_735			,							UpperCamelCase__:				Optional[int]=[20_000, 40_000, 200_000]			,							UpperCamelCase__:				Optional[Any]=1_024			,							UpperCamelCase__:				Tuple=1_024			,							UpperCamelCase__:				Optional[Any]=16			,							UpperCamelCase__:				str=64			,							UpperCamelCase__:				Dict=4_096			,							UpperCamelCase__:				List[str]=4			,							UpperCamelCase__:				Dict=False			,							UpperCamelCase__:				str=18			,							UpperCamelCase__:				List[Any]=1_600			,							UpperCamelCase__:				List[Any]=1_000			,							UpperCamelCase__:				List[Any]=True			,							UpperCamelCase__:				List[Any]=True			,							UpperCamelCase__:				Optional[int]=0			,							UpperCamelCase__:				List[Any]=-1			,							UpperCamelCase__:				Tuple=True			,							UpperCamelCase__:				str=0.1			,							UpperCamelCase__:				Any=0.0			,							UpperCamelCase__:				Optional[Any]=True			,							UpperCamelCase__:				Optional[int]="normal"			,							UpperCamelCase__:				int=0.01			,							UpperCamelCase__:				Union[str, Any]=0.01			,							UpperCamelCase__:				Tuple=0.02			,							UpperCamelCase__:				str=1e-5			,							UpperCamelCase__:				List[Any]=0			,							**UpperCamelCase__:				Union[str, Any]			,							):
														lowerCamelCase__					:	List[Any]         =       vocab_size
														lowerCamelCase__					:	Optional[Any]         =       []
														self.cutoffs.extend(UpperCamelCase__     )
														if proj_share_all_but_first:
																					lowerCamelCase__					:	Optional[int]         =       [False] + [True] * len(self.cutoffs     )
														else:
																					lowerCamelCase__					:	Optional[int]         =       [False] + [False] * len(self.cutoffs     )
														lowerCamelCase__					:	Optional[int]         =       d_model
														lowerCamelCase__					:	Optional[Any]         =       d_embed
														lowerCamelCase__					:	Tuple         =       d_head
														lowerCamelCase__					:	Optional[Any]         =       d_inner
														lowerCamelCase__					:	Optional[int]         =       div_val
														lowerCamelCase__					:	List[str]         =       pre_lnorm
														lowerCamelCase__					:	str         =       n_layer
														lowerCamelCase__					:	Any         =       n_head
														lowerCamelCase__					:	List[str]         =       mem_len
														lowerCamelCase__					:	Tuple         =       same_length
														lowerCamelCase__					:	Dict         =       attn_type
														lowerCamelCase__					:	Tuple         =       clamp_len
														lowerCamelCase__					:	Union[str, Any]         =       sample_softmax
														lowerCamelCase__					:	Optional[Any]         =       adaptive
														lowerCamelCase__					:	Dict         =       dropout
														lowerCamelCase__					:	List[Any]         =       dropatt
														lowerCamelCase__					:	Union[str, Any]         =       untie_r
														lowerCamelCase__					:	str         =       init
														lowerCamelCase__					:	Tuple         =       init_range
														lowerCamelCase__					:	int         =       proj_init_std
														lowerCamelCase__					:	str         =       init_std
														lowerCamelCase__					:	Optional[int]         =       layer_norm_epsilon
														super().__init__(eos_token_id=UpperCamelCase__			,							**UpperCamelCase__     )




							@property
							def 		lowerCamelCase_				(							self:				str     ):
														# Message copied from Transformer-XL documentation
														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 		lowerCamelCase_				(							self:				Dict			,							UpperCamelCase__:				Tuple     ):
														# Message copied from Transformer-XL documentation
														raise NotImplementedError(
														    F'''The model {self.model_type} is one of the few models that has no sequence length limit.'''     )









'''simple docstring'''







from collections.abc import Sequence





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       float:
							return sum(c * (x**i) for i, c in enumerate(UpperCamelCase      )      )





def  SCREAMING_SNAKE_CASE_       (UpperCamelCase				,			UpperCamelCase      )      ->       float:
							lowerCamelCase__					:	str         =       0.0
							for coeff in reversed(UpperCamelCase      ):
														lowerCamelCase__					:	Optional[int]         =       result * x + coeff
							return result


if __name__ == "__main__":
			_A	:			Any         =(0.0, 0.0, 5.0, 9.3, 7.0)
			_A	:			Optional[Any]         =10.0
			print(evaluate_poly(poly, x))
			print(horner(poly, x))

