



"""simple docstring"""




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


lowercase_						=       logging.get_logger(__name__)

lowercase_						=       {
    """transfo-xl-wt103""": """https://huggingface.co/transfo-xl-wt103/resolve/main/config.json""",
}
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   Optional[Any]       						="""transfo-xl"""
				UpperCamelCase__			:   Dict       						=["""mems"""]
				UpperCamelCase__			:   Optional[int]       						={
				    """n_token""": """vocab_size""",
				    """hidden_size""": """d_model""",
				    """num_attention_heads""": """n_head""",
				    """num_hidden_layers""": """n_layer""",
				}




				def __init__(  self   :  Optional[Any],   __lowercase   :  Optional[Any]=26_7735,   __lowercase   :  int=[2_0000, 4_0000, 20_0000],   __lowercase   :  Union[str, Any]=1024,   __lowercase   :  Tuple=1024,   __lowercase   :  Tuple=16,   __lowercase   :  Optional[Any]=64,   __lowercase   :  str=4096,   __lowercase   :  Optional[int]=4,   __lowercase   :  Union[str, Any]=False,   __lowercase   :  Union[str, Any]=18,   __lowercase   :  List[str]=1600,   __lowercase   :  List[Any]=1000,   __lowercase   :  Union[str, Any]=True,   __lowercase   :  Tuple=True,   __lowercase   :  Optional[Any]=0,   __lowercase   :  List[str]=-1,   __lowercase   :  int=True,   __lowercase   :  Dict=0.1,   __lowercase   :  Union[str, Any]=0.0,   __lowercase   :  str=True,   __lowercase   :  Optional[Any]="normal",   __lowercase   :  str=0.01,   __lowercase   :  Tuple=0.01,   __lowercase   :  List[Any]=0.02,   __lowercase   :  Any=1e-5,   __lowercase   :  Union[str, Any]=0,   **__lowercase   :  Union[str, Any],   ):
							lowercase__   					=			vocab_size
							lowercase__   					=			[]
							self.cutoffs.extend(__lowercase  )
							if proj_share_all_but_first:
										lowercase__   					=			[False] + [True] * len(self.cutoffs  )
							else:
										lowercase__   					=			[False] + [False] * len(self.cutoffs  )
							lowercase__   					=			d_model
							lowercase__   					=			d_embed
							lowercase__   					=			d_head
							lowercase__   					=			d_inner
							lowercase__   					=			div_val
							lowercase__   					=			pre_lnorm
							lowercase__   					=			n_layer
							lowercase__   					=			n_head
							lowercase__   					=			mem_len
							lowercase__   					=			same_length
							lowercase__   					=			attn_type
							lowercase__   					=			clamp_len
							lowercase__   					=			sample_softmax
							lowercase__   					=			adaptive
							lowercase__   					=			dropout
							lowercase__   					=			dropatt
							lowercase__   					=			untie_r
							lowercase__   					=			init
							lowercase__   					=			init_range
							lowercase__   					=			proj_init_std
							lowercase__   					=			init_std
							lowercase__   					=			layer_norm_epsilon
							super().__init__(eos_token_id=__lowercase,   **__lowercase  )




				@property
				def 							A__ (  self   :  Optional[Any]  ):
							# 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 							A__ (  self   :  List[str],   __lowercase   :  Union[str, Any]  ):
							# 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.'''  )









from pathlib import Path

import fire



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			Path(SCREAMING_SNAKE_CASE_					)
			lowercase__   					=			Path(SCREAMING_SNAKE_CASE_					)
			dest_dir.mkdir(exist_ok=SCREAMING_SNAKE_CASE_					)
			for path in src_dir.iterdir():
						lowercase__   					=			[x.rstrip() for x in list(path.open().readlines()					)][:n]
						lowercase__   					=			dest_dir.joinpath(path.name					)
						print(SCREAMING_SNAKE_CASE_					)
						dest_path.open("w"					).write("\n".join(SCREAMING_SNAKE_CASE_					)					)


if __name__ == "__main__":
							fire.Fire(minify)




