




'''simple docstring'''



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 							_a				(			UpperCAmelCase__ ):





       '''simple docstring'''






       A						:				Optional[Any]        =						'transfo-xl'
       A						:				List[Any]        =						['mems']
       A						:				List[Any]        =						{
           'n_token': 'vocab_size',
           'hidden_size': 'd_model',
           'num_attention_heads': 'n_head',
           'num_hidden_layers': 'n_layer',
       }







       def __init__(      self,							A=267_735,							A=[20_000, 40_000, 200_000],							A=1_024,							A=1_024,							A=16,							A=64,							A=4_096,							A=4,							A=False,							A=18,							A=1_600,							A=1_000,							A=True,							A=True,							A=0,							A=-1,							A=True,							A=0.1,							A=0.0,							A=True,							A="normal",							A=0.01,							A=0.01,							A=0.02,							A=1E-5,							A=0,							**A,							):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Dict    					=						vocab_size
             SCREAMING_SNAKE_CASE   :      Any    					=						[]
             self.cutoffs.extend(lowerCamelCase__  )
             if proj_share_all_but_first:
                   SCREAMING_SNAKE_CASE   :      int    					=						[False] + [True] * len(self.cutoffs  )
             else:
                   SCREAMING_SNAKE_CASE   :      Any    					=						[False] + [False] * len(self.cutoffs  )
             SCREAMING_SNAKE_CASE   :      Dict    					=						d_model
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						d_embed
             SCREAMING_SNAKE_CASE   :      Dict    					=						d_head
             SCREAMING_SNAKE_CASE   :      Dict    					=						d_inner
             SCREAMING_SNAKE_CASE   :      List[str]    					=						div_val
             SCREAMING_SNAKE_CASE   :      List[str]    					=						pre_lnorm
             SCREAMING_SNAKE_CASE   :      List[str]    					=						n_layer
             SCREAMING_SNAKE_CASE   :      List[str]    					=						n_head
             SCREAMING_SNAKE_CASE   :      str    					=						mem_len
             SCREAMING_SNAKE_CASE   :      Any    					=						same_length
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						attn_type
             SCREAMING_SNAKE_CASE   :      int    					=						clamp_len
             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						sample_softmax
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						adaptive
             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						dropout
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						dropatt
             SCREAMING_SNAKE_CASE   :      Tuple    					=						untie_r
             SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						init
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						init_range
             SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						proj_init_std
             SCREAMING_SNAKE_CASE   :      Tuple    					=						init_std
             SCREAMING_SNAKE_CASE   :      Tuple    					=						layer_norm_epsilon
             super().__init__(eos_token_id=lowerCamelCase__,							**lowerCamelCase__  )







       @property
       def        UpperCamelCase_							(      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        UpperCamelCase_							(      self,							A  ):







             '''simple docstring'''







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



def 		snake_case__	(		lowercase							,				lowercase					):
   lowerCAmelCase_:							list[list[str]]       =	[[] for _ in range(lowercase					)]
   lowerCAmelCase_:							Optional[Any]       =	key - 1

   if key <= 0:
      raise ValueError("Height of grid can't be 0 or negative"					)
   if key == 1 or len(lowercase					) <= key:
      return input_string

   for position, character in enumerate(lowercase					):
      lowerCAmelCase_:							Optional[Any]       =	position % (lowest * 2)  # puts it in bounds
      lowerCAmelCase_:							Any       =	min(lowercase							,				lowest * 2 - num					)  # creates zigzag pattern
      temp_grid[num].append(lowercase					)
   lowerCAmelCase_:							Optional[int]       =	["".join(lowercase					) for row in temp_grid]
   lowerCAmelCase_:							int       =	"".join(lowercase					)

   return output_string
def 		snake_case__	(		lowercase							,				lowercase					):
   lowerCAmelCase_:							Tuple       =	[]
   lowerCAmelCase_:							str       =	key - 1

   if key <= 0:
      raise ValueError("Height of grid can't be 0 or negative"					)
   if key == 1:
      return input_string

   lowerCAmelCase_:							list[list[str]]       =	[[] for _ in range(lowercase					)]  # generates template
   for position in range(len(lowercase					)					):
      lowerCAmelCase_:							List[str]       =	position % (lowest * 2)  # puts it in bounds
      lowerCAmelCase_:							Optional[int]       =	min(lowercase							,				lowest * 2 - num					)  # creates zigzag pattern
      temp_grid[num].append("*"					)

   lowerCAmelCase_:							Optional[Any]       =	0
   for row in temp_grid:  # fills in the characters
      lowerCAmelCase_:							Tuple       =	input_string[counter : counter + len(lowercase					)]
      grid.append(list(lowercase					)					)
      counter += len(lowercase					)

   lowerCAmelCase_:							int       =	""  # reads as zigzag
   for position in range(len(lowercase					)					):
      lowerCAmelCase_:							str       =	position % (lowest * 2)  # puts it in bounds
      lowerCAmelCase_:							Optional[int]       =	min(lowercase							,				lowest * 2 - num					)  # creates zigzag pattern
      output_string += grid[num][0]
      grid[num].pop(0					)
   return output_string
def 		snake_case__	(		lowercase					):
   lowerCAmelCase_:							Dict       =	{}
   for key_guess in range(1							,				len(lowercase					)					):  # tries every key
      lowerCAmelCase_:							int       =	decrypt(lowercase							,				lowercase					)
   return results


if __name__ == "__main__":
 import doctest

 doctest.testmod()