'''simple docstring'''






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


_UpperCAmelCase    :     Optional[int]         =       logging.get_logger(__name__)

_UpperCAmelCase    :     List[Any]         =       {
    '''transfo-xl-wt103''': '''https://huggingface.co/transfo-xl-wt103/resolve/main/config.json''',
}







class lowercase_       (		_UpperCamelCase			):







   """simple docstring"""

   __lowerCAmelCase         =   "transfo-xl"
   __lowerCAmelCase         =   ["mems"]
   __lowerCAmelCase         =   {
       "n_token": "vocab_size",
       "hidden_size": "d_model",
       "num_attention_heads": "n_head",
       "num_hidden_layers": "n_layer",
   }
   def __init__(      self      :			int, UpperCamelCase__      :			Any=26_77_35, UpperCamelCase__      :			Optional[int]=[2_00_00, 4_00_00, 20_00_00], UpperCamelCase__      :			int=10_24, UpperCamelCase__      :			Union[str, Any]=10_24, UpperCamelCase__      :			List[str]=16, UpperCamelCase__      :			Any=64, UpperCamelCase__      :			Union[str, Any]=40_96, UpperCamelCase__      :			Optional[int]=4, UpperCamelCase__      :			Any=False, UpperCamelCase__      :			Dict=18, UpperCamelCase__      :			str=16_00, UpperCamelCase__      :			Optional[int]=10_00, UpperCamelCase__      :			List[str]=True, UpperCamelCase__      :			Union[str, Any]=True, UpperCamelCase__      :			Optional[int]=0, UpperCamelCase__      :			Any=-1, UpperCamelCase__      :			Optional[Any]=True, UpperCamelCase__      :			Union[str, Any]=0.1, UpperCamelCase__      :			str=0.0, UpperCamelCase__      :			str=True, UpperCamelCase__      :			Dict="normal", UpperCamelCase__      :			List[str]=0.01, UpperCamelCase__      :			str=0.01, UpperCamelCase__      :			Any=0.02, UpperCamelCase__      :			List[str]=1e-5, UpperCamelCase__      :			List[Any]=0, **UpperCamelCase__      :			Any, )  ->			Dict:
        _A    		=  vocab_size
        _A    		=  []
        self.cutoffs.extend(UpperCamelCase__     )
        if proj_share_all_but_first:
             _A    		=  [False] + [True] * len(self.cutoffs     )
        else:
             _A    		=  [False] + [False] * len(self.cutoffs     )
        _A    		=  d_model
        _A    		=  d_embed
        _A    		=  d_head
        _A    		=  d_inner
        _A    		=  div_val
        _A    		=  pre_lnorm
        _A    		=  n_layer
        _A    		=  n_head
        _A    		=  mem_len
        _A    		=  same_length
        _A    		=  attn_type
        _A    		=  clamp_len
        _A    		=  sample_softmax
        _A    		=  adaptive
        _A    		=  dropout
        _A    		=  dropatt
        _A    		=  untie_r
        _A    		=  init
        _A    		=  init_range
        _A    		=  proj_init_std
        _A    		=  init_std
        _A    		=  layer_norm_epsilon
        super().__init__(eos_token_id=UpperCamelCase__, **UpperCamelCase__     )
   @property
   def 	__UpperCAmelCase   (      self      :			str     )  ->			int:
        # 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 	__UpperCAmelCase   (      self      :			int, UpperCamelCase__      :			List[Any]     )  ->			Optional[int]:
        # 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"""






import argparse
from collections import defaultdict


def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case   ,__snake_case   ,__snake_case      )		->  Optional[int]:
			__lowerCAmelCase :    str				=			F"""{file}_{class_name}_{test_name}"""
			done_test[_id] += 1

			with open(__snake_case   ,"r"      ) as f:
						__lowerCAmelCase :    List[str]				=			f.readlines()

			__lowerCAmelCase :    Tuple				=			F"""class {class_name}("""
			__lowerCAmelCase :    Tuple				=			F"""{4 * ' '}def {test_name}("""
			__lowerCAmelCase :    List[str]				=			F"""{8 * ' '}{correct_line.split()[0]}"""
			__lowerCAmelCase :    List[Any]				=			F"""{16 * ' '}{correct_line.split()[0]}"""
			__lowerCAmelCase :    Any				=			False
			__lowerCAmelCase :    List[Any]				=			False
			__lowerCAmelCase :    Optional[Any]				=			False
			__lowerCAmelCase :    str				=			False
			__lowerCAmelCase :    Optional[int]				=			0
			__lowerCAmelCase :    Dict				=			0

			__lowerCAmelCase :    int				=			[]
			for line in lines:
						if line.startswith(__snake_case      ):
									__lowerCAmelCase :    Any				=			True
						elif in_class and line.startswith(__snake_case      ):
									__lowerCAmelCase :    str				=			True
						elif in_class and in_func and (line.startswith(__snake_case      ) or line.startswith(__snake_case      )):
									__lowerCAmelCase :    Optional[Any]				=			len(line.split(correct_line.split()[0]      )[0]      )
									count += 1

									if count == done_test[_id]:
												__lowerCAmelCase :    Optional[int]				=			True

						if in_class and in_func and in_line:
									if ")" not in line:
												continue
									else:
												__lowerCAmelCase :    Dict				=			True

						if in_class and in_func and in_line and insert_line:
									new_lines.append(F"""{spaces * ' '}{correct_line}"""      )
									__lowerCAmelCase :    Union[str, Any]				=			False
						else:
									new_lines.append(__snake_case      )

			with open(__snake_case   ,"w"      ) as f:
						for line in new_lines:
									f.write(__snake_case      )


def      _lowercase							(    __snake_case   ,__snake_case=None      )		->  int:
			if fail is not None:
						with open(__snake_case   ,"r"      ) as f:
									__lowerCAmelCase :    Union[str, Any]				=			{l.strip() for l in f.readlines()}
			else:
						__lowerCAmelCase :    Optional[Any]				=			None

			with open(__snake_case   ,"r"      ) as f:
						__lowerCAmelCase :    Union[str, Any]				=			f.readlines()

			__lowerCAmelCase :    Optional[Any]				=			defaultdict(__snake_case      )
			for line in correct_lines:
						__lowerCAmelCase		,      __lowerCAmelCase		,      __lowerCAmelCase		,      __lowerCAmelCase :    List[str]				=			line.split(";"      )
						if test_failures is None or "::".join([file, class_name, test_name]      ) in test_failures:
									overwrite_file(__snake_case   ,__snake_case   ,__snake_case   ,__snake_case   ,__snake_case      )


if __name__ == "__main__":
	__snake_case				:  Union[str, Any] =       argparse.ArgumentParser()
	parser.add_argument('--correct_filename', help='filename of tests with expected result')
	parser.add_argument('--fail_filename', help='filename of test failures', type=str, default=None)
	__snake_case				:  int =       parser.parse_args()

	main(args.correct_filename, args.fail_filename)