


from collections import OrderedDict
from typing import Mapping

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


__UpperCamelCase							:							Optional[Any]    							=					logging.get_logger(__name__)

__UpperCamelCase							:							Any    							=					{
    """flaubert/flaubert_small_cased""": """https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json""",
    """flaubert/flaubert_base_uncased""": """https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json""",
    """flaubert/flaubert_base_cased""": """https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json""",
    """flaubert/flaubert_large_cased""": """https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json""",
}

class    __magic_name__						(  __A):
     A:		List[Any]								=   "flaubert"
     A:		List[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				:  Dict				,						lowerCamelCase__				:  Optional[int]=False				,						lowerCamelCase__				:  List[Any]=0.0				,						lowerCamelCase__				:  Optional[int]=30145				,						lowerCamelCase__				:  Optional[int]=2048				,						lowerCamelCase__				:  Tuple=12				,						lowerCamelCase__				:  str=16				,						lowerCamelCase__				:  Any=0.1				,						lowerCamelCase__				:  List[str]=0.1				,						lowerCamelCase__				:  List[str]=True				,						lowerCamelCase__				:  Optional[Any]=False				,						lowerCamelCase__				:  int=False				,						lowerCamelCase__				:  List[str]=False				,						lowerCamelCase__				:  Dict=1				,						lowerCamelCase__				:  int=True				,						lowerCamelCase__				:  Dict=512				,						lowerCamelCase__				:  Tuple=2048**-0.5				,						lowerCamelCase__				:  Any=1E-1_2				,						lowerCamelCase__				:  str=0.02				,						lowerCamelCase__				:  Tuple=0				,						lowerCamelCase__				:  Tuple=1				,						lowerCamelCase__				:  int=2				,						lowerCamelCase__				:  Optional[Any]=3				,						lowerCamelCase__				:  Optional[Any]=5				,						lowerCamelCase__				:  List[Any]=True				,						lowerCamelCase__				:  List[str]="first"				,						lowerCamelCase__				:  List[str]=True				,						lowerCamelCase__				:  int=None				,						lowerCamelCase__				:  Any=True				,						lowerCamelCase__				:  Optional[int]=0.1				,						lowerCamelCase__				:  Optional[int]=5				,						lowerCamelCase__				:  int=5				,						lowerCamelCase__				:  List[Any]=0				,						lowerCamelCase__				:  Tuple=0				,						lowerCamelCase__				:  Any=2				,						lowerCamelCase__				:  List[Any]=0				,						**lowerCamelCase__				:  Any				,						)	->   str:





      '''simple docstring'''






      UpperCamelCase__       :     List[str] 							= pre_norm
      UpperCamelCase__       :     Any 							= layerdrop
      UpperCamelCase__       :     Dict 							= vocab_size
      UpperCamelCase__       :     Any 							= emb_dim
      UpperCamelCase__       :     Union[str, Any] 							= n_layers
      UpperCamelCase__       :     Any 							= n_heads
      UpperCamelCase__       :     int 							= dropout
      UpperCamelCase__       :     Union[str, Any] 							= attention_dropout
      UpperCamelCase__       :     Union[str, Any] 							= gelu_activation
      UpperCamelCase__       :     Dict 							= sinusoidal_embeddings
      UpperCamelCase__       :     Optional[Any] 							= causal
      UpperCamelCase__       :     Dict 							= asm
      UpperCamelCase__       :     List[Any] 							= n_langs
      UpperCamelCase__       :     Optional[Any] 							= use_lang_emb
      UpperCamelCase__       :     List[Any] 							= layer_norm_eps
      UpperCamelCase__       :     List[Any] 							= bos_index
      UpperCamelCase__       :     Dict 							= eos_index
      UpperCamelCase__       :     List[Any] 							= pad_index
      UpperCamelCase__       :     Dict 							= unk_index
      UpperCamelCase__       :     Any 							= mask_index
      UpperCamelCase__       :     Any 							= is_encoder
      UpperCamelCase__       :     str 							= max_position_embeddings
      UpperCamelCase__       :     str 							= embed_init_std
      UpperCamelCase__       :     List[Any] 							= init_std
      UpperCamelCase__       :     int 							= summary_type
      UpperCamelCase__       :     int 							= summary_use_proj
      UpperCamelCase__       :     Optional[Any] 							= summary_activation
      UpperCamelCase__       :     str 							= summary_proj_to_labels
      UpperCamelCase__       :     Optional[Any] 							= summary_first_dropout
      UpperCamelCase__       :     Tuple 							= start_n_top
      UpperCamelCase__       :     Union[str, Any] 							= end_n_top
      UpperCamelCase__       :     Optional[int] 							= mask_token_id
      UpperCamelCase__       :     Union[str, Any] 							= lang_id

      if "n_words" in kwargs:
       UpperCamelCase__       :     Optional[int] 							= kwargs["""n_words"""]

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



class    __magic_name__						(  __A):


     @property
     def   UpperCAmelCase__						(   self				:  Union[str, Any]      )	->   Dict:





      '''simple docstring'''






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









def 				_lowerCAmelCase			(	_a :       str      )						->      int:
     lowerCAmelCase_       :							Dict			 =		0
     for plain_chr in plain_text:
          lowerCAmelCase_       :							List[Any]			 =		(
              ord(_a      ) + (hash_value << 6) + (hash_value << 16) - hash_value
          )
     return hash_value
