




from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase       :	str									=     logging.get_logger(__name__)

lowerCamelCase       :	Optional[int]									=     {
    "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 						A(		UpperCamelCase     ):



 '''simple docstring'''


 UpperCamelCase		     =		'''xlm'''
 UpperCamelCase		     =		{
     '''hidden_size''': '''emb_dim''',
     '''num_attention_heads''': '''n_heads''',
     '''num_hidden_layers''': '''n_layers''',
     '''n_words''': '''vocab_size''',  # For backward compatibility
 }

 def __init__(       self      :						Dict		,							A_      :						int=30145		,							A_      :						Optional[Any]=2048		,							A_      :						Dict=12		,							A_      :						List[str]=16		,							A_      :						Union[str, Any]=0.1		,							A_      :						Optional[int]=0.1		,							A_      :						Optional[int]=True		,							A_      :						Dict=False		,							A_      :						Optional[Any]=False		,							A_      :						List[Any]=False		,							A_      :						Dict=1		,							A_      :						int=True		,							A_      :						List[str]=512		,							A_      :						int=2048**-0.5		,							A_      :						str=1E-12		,							A_      :						List[Any]=0.02		,							A_      :						Union[str, Any]=0		,							A_      :						str=1		,							A_      :						Dict=2		,							A_      :						Optional[int]=3		,							A_      :						int=5		,							A_      :						Optional[Any]=True		,							A_      :						List[str]="first"		,							A_      :						Tuple=True		,							A_      :						Optional[int]=None		,							A_      :						str=True		,							A_      :						Optional[int]=0.1		,							A_      :						List[str]=5		,							A_      :						Any=5		,							A_      :						List[Any]=0		,							A_      :						Dict=0		,							A_      :						List[str]=2		,							A_      :						List[str]=0		,							**A_      :						Optional[Any]		,							)     ->			List[str]:

       """simple docstring"""






       lowerCamelCase_	  =					vocab_size
       lowerCamelCase_	  =					emb_dim
       lowerCamelCase_	  =					n_layers
       lowerCamelCase_	  =					n_heads
       lowerCamelCase_	  =					dropout
       lowerCamelCase_	  =					attention_dropout
       lowerCamelCase_	  =					gelu_activation
       lowerCamelCase_	  =					sinusoidal_embeddings
       lowerCamelCase_	  =					causal
       lowerCamelCase_	  =					asm
       lowerCamelCase_	  =					n_langs
       lowerCamelCase_	  =					use_lang_emb
       lowerCamelCase_	  =					layer_norm_eps
       lowerCamelCase_	  =					bos_index
       lowerCamelCase_	  =					eos_index
       lowerCamelCase_	  =					pad_index
       lowerCamelCase_	  =					unk_index
       lowerCamelCase_	  =					mask_index
       lowerCamelCase_	  =					is_encoder
       lowerCamelCase_	  =					max_position_embeddings
       lowerCamelCase_	  =					embed_init_std
       lowerCamelCase_	  =					init_std
       lowerCamelCase_	  =					summary_type
       lowerCamelCase_	  =					summary_use_proj
       lowerCamelCase_	  =					summary_activation
       lowerCamelCase_	  =					summary_proj_to_labels
       lowerCamelCase_	  =					summary_first_dropout
       lowerCamelCase_	  =					start_n_top
       lowerCamelCase_	  =					end_n_top
       lowerCamelCase_	  =					mask_token_id
       lowerCamelCase_	  =					lang_id

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

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







class 						A(		UpperCamelCase     ):



 '''simple docstring'''


 @property
 def        a__				(       self      :						Tuple						)     ->			Mapping[str, Mapping[int, str]]:

       """simple docstring"""






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









def     _SCREAMING_SNAKE_CASE    (							):


      '''simple docstring'''



      lowerCamelCase_	  =					0
      for i in range(1			,							10_01  ):
            total += i**i
      return str(lowercase  )[-10:]


if __name__ == "__main__":
 print(solution())



