





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   lowercase__     (				__A	):
  __UpperCamelCase						  =	"""flaubert"""
  __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     ,    _lowercase=False     ,    _lowercase=0.0     ,    _lowercase=30_145     ,    _lowercase=2_048     ,    _lowercase=12     ,    _lowercase=16     ,    _lowercase=0.1     ,    _lowercase=0.1     ,    _lowercase=True     ,    _lowercase=False     ,    _lowercase=False     ,    _lowercase=False     ,    _lowercase=1     ,    _lowercase=True     ,    _lowercase=512     ,    _lowercase=2_048**-0.5     ,    _lowercase=1e-12     ,    _lowercase=0.02     ,    _lowercase=0     ,    _lowercase=1     ,    _lowercase=2     ,    _lowercase=3     ,    _lowercase=5     ,    _lowercase=True     ,    _lowercase="first"     ,    _lowercase=True     ,    _lowercase=None     ,    _lowercase=True     ,    _lowercase=0.1     ,    _lowercase=5     ,    _lowercase=5     ,    _lowercase=0     ,    _lowercase=0     ,    _lowercase=2     ,    _lowercase=0     ,    **_lowercase     ,    ):
       lowerCAmelCase_       :							List[str]			 =		pre_norm
       lowerCAmelCase_       :							Any			 =		layerdrop
       lowerCAmelCase_       :							Dict			 =		vocab_size
       lowerCAmelCase_       :							Any			 =		emb_dim
       lowerCAmelCase_       :							Union[str, Any]			 =		n_layers
       lowerCAmelCase_       :							Any			 =		n_heads
       lowerCAmelCase_       :							int			 =		dropout
       lowerCAmelCase_       :							Union[str, Any]			 =		attention_dropout
       lowerCAmelCase_       :							Union[str, Any]			 =		gelu_activation
       lowerCAmelCase_       :							Dict			 =		sinusoidal_embeddings
       lowerCAmelCase_       :							Optional[Any]			 =		causal
       lowerCAmelCase_       :							Dict			 =		asm
       lowerCAmelCase_       :							List[Any]			 =		n_langs
       lowerCAmelCase_       :							Optional[Any]			 =		use_lang_emb
       lowerCAmelCase_       :							List[Any]			 =		layer_norm_eps
       lowerCAmelCase_       :							List[Any]			 =		bos_index
       lowerCAmelCase_       :							Dict			 =		eos_index
       lowerCAmelCase_       :							List[Any]			 =		pad_index
       lowerCAmelCase_       :							Dict			 =		unk_index
       lowerCAmelCase_       :							Any			 =		mask_index
       lowerCAmelCase_       :							Any			 =		is_encoder
       lowerCAmelCase_       :							str			 =		max_position_embeddings
       lowerCAmelCase_       :							str			 =		embed_init_std
       lowerCAmelCase_       :							List[Any]			 =		init_std
       lowerCAmelCase_       :							int			 =		summary_type
       lowerCAmelCase_       :							int			 =		summary_use_proj
       lowerCAmelCase_       :							Optional[Any]			 =		summary_activation
       lowerCAmelCase_       :							str			 =		summary_proj_to_labels
       lowerCAmelCase_       :							Optional[Any]			 =		summary_first_dropout
       lowerCAmelCase_       :							Tuple			 =		start_n_top
       lowerCAmelCase_       :							Union[str, Any]			 =		end_n_top
       lowerCAmelCase_       :							Optional[int]			 =		mask_token_id
       lowerCAmelCase_       :							Union[str, Any]			 =		lang_id

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

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





class   lowercase__     (				__A	):







  @property
  def 						UpperCAmelCase__		(						self    ):
       if self.task == "multiple-choice":
            lowerCAmelCase_       :							str			 =		{0: """batch""", 1: """choice""", 2: """sequence"""}
       else:
            lowerCAmelCase_       :							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
