

'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase__											=	logging.get_logger(__name__)

lowerCAmelCase__											=	{
    '''xlm-mlm-en-2048''': '''https://huggingface.co/xlm-mlm-en-2048/resolve/main/config.json''',
    '''xlm-mlm-ende-1024''': '''https://huggingface.co/xlm-mlm-ende-1024/resolve/main/config.json''',
    '''xlm-mlm-enfr-1024''': '''https://huggingface.co/xlm-mlm-enfr-1024/resolve/main/config.json''',
    '''xlm-mlm-enro-1024''': '''https://huggingface.co/xlm-mlm-enro-1024/resolve/main/config.json''',
    '''xlm-mlm-tlm-xnli15-1024''': '''https://huggingface.co/xlm-mlm-tlm-xnli15-1024/resolve/main/config.json''',
    '''xlm-mlm-xnli15-1024''': '''https://huggingface.co/xlm-mlm-xnli15-1024/resolve/main/config.json''',
    '''xlm-clm-enfr-1024''': '''https://huggingface.co/xlm-clm-enfr-1024/resolve/main/config.json''',
    '''xlm-clm-ende-1024''': '''https://huggingface.co/xlm-clm-ende-1024/resolve/main/config.json''',
    '''xlm-mlm-17-1280''': '''https://huggingface.co/xlm-mlm-17-1280/resolve/main/config.json''',
    '''xlm-mlm-100-1280''': '''https://huggingface.co/xlm-mlm-100-1280/resolve/main/config.json''',
}






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  List[Any]							=			'xlm'
  SCREAMING_SNAKE_CASE    :  str							=			{
      'hidden_size': 'emb_dim',
      'num_attention_heads': 'n_heads',
      'num_hidden_layers': 'n_layers',
      'n_words': 'vocab_size',  # For backward compatibility
  }






  def __init__(      self   :     Optional[Any]					,lowercase__   :     Optional[Any]=3_0_1_4_5					,lowercase__   :     Optional[int]=2_0_4_8					,lowercase__   :     Any=1_2					,lowercase__   :     Any=1_6					,lowercase__   :     Dict=0.1					,lowercase__   :     str=0.1					,lowercase__   :     Tuple=True					,lowercase__   :     Tuple=False					,lowercase__   :     Dict=False					,lowercase__   :     Dict=False					,lowercase__   :     Optional[int]=1					,lowercase__   :     Any=True					,lowercase__   :     Optional[int]=5_1_2					,lowercase__   :     Union[str, Any]=2_0_4_8**-0.5					,lowercase__   :     Any=1e-1_2					,lowercase__   :     Tuple=0.0_2					,lowercase__   :     Optional[int]=0					,lowercase__   :     Any=1					,lowercase__   :     str=2					,lowercase__   :     Optional[Any]=3					,lowercase__   :     Optional[int]=5					,lowercase__   :     List[Any]=True					,lowercase__   :     List[Any]="first"					,lowercase__   :     Union[str, Any]=True					,lowercase__   :     Optional[Any]=None					,lowercase__   :     int=True					,lowercase__   :     int=0.1					,lowercase__   :     Optional[Any]=5					,lowercase__   :     int=5					,lowercase__   :     List[str]=0					,lowercase__   :     List[str]=0					,lowercase__   :     Any=2					,lowercase__   :     List[str]=0					,**lowercase__   :     str					,):
   __lowercase							  = vocab_size
   __lowercase							  = emb_dim
   __lowercase							  = n_layers
   __lowercase							  = n_heads
   __lowercase							  = dropout
   __lowercase							  = attention_dropout
   __lowercase							  = gelu_activation
   __lowercase							  = sinusoidal_embeddings
   __lowercase							  = causal
   __lowercase							  = asm
   __lowercase							  = n_langs
   __lowercase							  = use_lang_emb
   __lowercase							  = layer_norm_eps
   __lowercase							  = bos_index
   __lowercase							  = eos_index
   __lowercase							  = pad_index
   __lowercase							  = unk_index
   __lowercase							  = mask_index
   __lowercase							  = is_encoder
   __lowercase							  = max_position_embeddings
   __lowercase							  = embed_init_std
   __lowercase							  = init_std
   __lowercase							  = summary_type
   __lowercase							  = summary_use_proj
   __lowercase							  = summary_activation
   __lowercase							  = summary_proj_to_labels
   __lowercase							  = summary_first_dropout
   __lowercase							  = start_n_top
   __lowercase							  = end_n_top
   __lowercase							  = mask_token_id
   __lowercase							  = lang_id

   if "n_words" in kwargs:
    __lowercase							  = kwargs['''n_words''']

   super().__init__(pad_token_id=lowercase__					,bos_token_id=lowercase__					,**lowercase__			)






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  @property
  def 					SCREAMING_SNAKE_CASE      (      self   :     int			):
   if self.task == "multiple-choice":
    __lowercase							  = {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
   else:
    __lowercase							  = {0: '''batch''', 1: '''sequence'''}
   return OrderedDict(
       [
           ('''input_ids''', dynamic_axis),
           ('''attention_mask''', dynamic_axis),
           ('''token_type_ids''', dynamic_axis),
       ]			)




'''simple docstring'''






lowerCAmelCase__											=	'''Input must be a string of 8 numbers plus letter'''
lowerCAmelCase__											=	'''TRWAGMYFPDXBNJZSQVHLCKE'''


def 		_A     (    A__      ):






 """simple docstring"""



 if not isinstance(A__     ,				A__      ):
  __lowercase							  = F"Expected string as input, found {type(A__      ).__name__}"
  raise TypeError(A__      )

 __lowercase							  = spanish_id.replace('''-'''     ,				''''''      ).upper()
 if len(A__      ) != 9:
  raise ValueError(A__      )

 try:
  __lowercase							  = int(spanish_id_clean[0:8]      )
  __lowercase							  = spanish_id_clean[8]
 except ValueError as ex:
  raise ValueError(A__      ) from ex

 if letter.isdigit():
  raise ValueError(A__      )

 return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
 import doctest

 doctest.testmod()

