


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   	=  {
    '''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 	a__						(    lowerCAmelCase_     ):
       lowerCamelCase__:  str				     =  """flaubert"""
       lowerCamelCase__:  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   :  List[Any]   ,				lowerCamelCase_   :  str=False   ,				lowerCamelCase_   :  List[Any]=0.0   ,				lowerCamelCase_   :  int=3_0_1_4_5   ,				lowerCamelCase_   :  str=2_0_4_8   ,				lowerCamelCase_   :  Dict=1_2   ,				lowerCamelCase_   :  Any=1_6   ,				lowerCamelCase_   :  Optional[int]=0.1   ,				lowerCamelCase_   :  Tuple=0.1   ,				lowerCamelCase_   :  List[str]=True   ,				lowerCamelCase_   :  str=False   ,				lowerCamelCase_   :  int=False   ,				lowerCamelCase_   :  Optional[int]=False   ,				lowerCamelCase_   :  Tuple=1   ,				lowerCamelCase_   :  Union[str, Any]=True   ,				lowerCamelCase_   :  str=5_1_2   ,				lowerCamelCase_   :  Optional[Any]=2_0_4_8**-0.5   ,				lowerCamelCase_   :  Optional[int]=1E-12   ,				lowerCamelCase_   :  int=0.0_2   ,				lowerCamelCase_   :  int=0   ,				lowerCamelCase_   :  Optional[int]=1   ,				lowerCamelCase_   :  Dict=2   ,				lowerCamelCase_   :  int=3   ,				lowerCamelCase_   :  str=5   ,				lowerCamelCase_   :  Optional[int]=True   ,				lowerCamelCase_   :  Union[str, Any]="first"   ,				lowerCamelCase_   :  int=True   ,				lowerCamelCase_   :  Dict=None   ,				lowerCamelCase_   :  Union[str, Any]=True   ,				lowerCamelCase_   :  str=0.1   ,				lowerCamelCase_   :  str=5   ,				lowerCamelCase_   :  Any=5   ,				lowerCamelCase_   :  int=0   ,				lowerCamelCase_   :  Any=0   ,				lowerCamelCase_   :  Tuple=2   ,				lowerCamelCase_   :  Optional[Any]=0   ,				**lowerCamelCase_   :  int   ,				):
            a_     :  Dict				      =     pre_norm
            a_     :  List[str]				      =     layerdrop
            a_     :  Any				      =     vocab_size
            a_     :  Tuple				      =     emb_dim
            a_     :  str				      =     n_layers
            a_     :  Tuple				      =     n_heads
            a_     :  List[Any]				      =     dropout
            a_     :  str				      =     attention_dropout
            a_     :  Dict				      =     gelu_activation
            a_     :  Optional[Any]				      =     sinusoidal_embeddings
            a_     :  List[str]				      =     causal
            a_     :  Union[str, Any]				      =     asm
            a_     :  int				      =     n_langs
            a_     :  int				      =     use_lang_emb
            a_     :  int				      =     layer_norm_eps
            a_     :  Dict				      =     bos_index
            a_     :  int				      =     eos_index
            a_     :  Dict				      =     pad_index
            a_     :  Dict				      =     unk_index
            a_     :  Tuple				      =     mask_index
            a_     :  Tuple				      =     is_encoder
            a_     :  Dict				      =     max_position_embeddings
            a_     :  Union[str, Any]				      =     embed_init_std
            a_     :  List[str]				      =     init_std
            a_     :  Union[str, Any]				      =     summary_type
            a_     :  Tuple				      =     summary_use_proj
            a_     :  int				      =     summary_activation
            a_     :  Union[str, Any]				      =     summary_proj_to_labels
            a_     :  List[str]				      =     summary_first_dropout
            a_     :  Optional[int]				      =     start_n_top
            a_     :  List[Any]				      =     end_n_top
            a_     :  Dict				      =     mask_token_id
            a_     :  List[Any]				      =     lang_id

            if "n_words" in kwargs:
                 a_     :  Any				      =     kwargs["""n_words"""]

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


class 	a__						(    lowerCAmelCase_     ):

       @property
       def     UpperCAmelCase( self   :  Tuple     ):
            if self.task == "multiple-choice":
                 a_     :  Optional[Any]				      =     {0: """batch""", 1: """choice""", 2: """sequence"""}
            else:
                 a_     :  List[Any]				      =     {0: """batch""", 1: """sequence"""}
            return OrderedDict(
                [
                    ("""input_ids""", dynamic_axis),
                    ("""attention_mask""", dynamic_axis),
                ]     )







'''simple docstring'''







from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
a__    :   Optional[Any]								=			TypeVar('T', bound='Enum')
@unique
class    lowercase_	(       a__  ):
    __UpperCAmelCase       =      80
    __UpperCAmelCase       =      70
    __UpperCAmelCase       =      60
    __UpperCAmelCase       =      50
    __UpperCAmelCase       =      40
    __UpperCAmelCase       =      30
    __UpperCAmelCase       =      20
    __UpperCAmelCase       =      10

@unique
class    lowercase_	(       a__  ):
    __UpperCAmelCase       =      24
    __UpperCAmelCase       =      21
    __UpperCAmelCase       =      18
    __UpperCAmelCase       =      15
    __UpperCAmelCase       =      12
    __UpperCAmelCase       =      9
    __UpperCAmelCase       =      6
    __UpperCAmelCase       =      3
    __UpperCAmelCase       =      2
    __UpperCAmelCase       =      1
    __UpperCAmelCase       =      -1
    __UpperCAmelCase       =      -2
    __UpperCAmelCase       =      -3
    __UpperCAmelCase       =      -6
    __UpperCAmelCase       =      -9
    __UpperCAmelCase       =      -12
    __UpperCAmelCase       =      -15
    __UpperCAmelCase       =      -18
    __UpperCAmelCase       =      -21
    __UpperCAmelCase       =      -24


    @classmethod
    def   __a				(	cls       ):
          return {unit.name: unit.value for unit in cls if unit.value > 0}


    @classmethod
    def   __a				(	cls       ):
          return {unit.name: unit.value for unit in cls if unit.value < 0}







def _UpperCamelCase			(	__A       )				->						str:


      '''simple docstring'''



      UpperCamelCase__      =							SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
      for name_prefix, value_prefix in prefixes.items():
            UpperCamelCase__      =							value / (10**value_prefix)
            if numerical_part > 1:
                  return F'''{numerical_part!s} {name_prefix}'''
      return str(__A       )







def _UpperCamelCase			(	__A       )				->						str:


      '''simple docstring'''



      for prefix in BinaryUnit:
            UpperCamelCase__      =							value / (2**prefix.value)
            if numerical_part > 1:
                  return F'''{numerical_part!s} {prefix.name}'''
      return str(__A       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()





