





"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

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


a__					:     Any							=				logging.get_logger(__name__)

a__					:     Optional[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_				(     __lowerCAmelCase							):
       snake_case__				:							int											=     """flaubert"""
       snake_case__				:							Tuple											=     {
           """hidden_size""": """emb_dim""",
           """num_attention_heads""": """n_heads""",
           """num_hidden_layers""": """n_layers""",
           """n_words""": """vocab_size""",  # For backward compatibility
       }

       def __init__(			self   ,					__SCREAMING_SNAKE_CASE=False   ,					__SCREAMING_SNAKE_CASE=0.0   ,					__SCREAMING_SNAKE_CASE=3_0145   ,					__SCREAMING_SNAKE_CASE=2048   ,					__SCREAMING_SNAKE_CASE=12   ,					__SCREAMING_SNAKE_CASE=16   ,					__SCREAMING_SNAKE_CASE=0.1   ,					__SCREAMING_SNAKE_CASE=0.1   ,					__SCREAMING_SNAKE_CASE=True   ,					__SCREAMING_SNAKE_CASE=False   ,					__SCREAMING_SNAKE_CASE=False   ,					__SCREAMING_SNAKE_CASE=False   ,					__SCREAMING_SNAKE_CASE=1   ,					__SCREAMING_SNAKE_CASE=True   ,					__SCREAMING_SNAKE_CASE=512   ,					__SCREAMING_SNAKE_CASE=2048**-0.5   ,					__SCREAMING_SNAKE_CASE=1e-12   ,					__SCREAMING_SNAKE_CASE=0.02   ,					__SCREAMING_SNAKE_CASE=0   ,					__SCREAMING_SNAKE_CASE=1   ,					__SCREAMING_SNAKE_CASE=2   ,					__SCREAMING_SNAKE_CASE=3   ,					__SCREAMING_SNAKE_CASE=5   ,					__SCREAMING_SNAKE_CASE=True   ,					__SCREAMING_SNAKE_CASE="first"   ,					__SCREAMING_SNAKE_CASE=True   ,					__SCREAMING_SNAKE_CASE=None   ,					__SCREAMING_SNAKE_CASE=True   ,					__SCREAMING_SNAKE_CASE=0.1   ,					__SCREAMING_SNAKE_CASE=5   ,					__SCREAMING_SNAKE_CASE=5   ,					__SCREAMING_SNAKE_CASE=0   ,					__SCREAMING_SNAKE_CASE=0   ,					__SCREAMING_SNAKE_CASE=2   ,					__SCREAMING_SNAKE_CASE=0   ,					**__SCREAMING_SNAKE_CASE   ,					):






        '''simple docstring'''

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

        if "n_words" in kwargs:
         snake_case__    							=				kwargs["n_words"]

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



class      lowercase_				(     __lowerCAmelCase							):

       @property
       def 		_SCREAMING_SNAKE_CASE(			self     ):






        '''simple docstring'''

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








"""simple docstring"""


def 							a__			(  _UpperCAmelCase	)    ->  int:

 '''simple docstring'''






 return int(_UpperCAmelCase	) if x - int(_UpperCAmelCase	) <= 0 else int(_UpperCAmelCase	) + 1


if __name__ == "__main__":
   import doctest

   doctest.testmod()

