

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 					__lowerCamelCase							(      a_      ):
      lowerCamelCase_      : List[Any]  			=   'flaubert'
      lowerCamelCase_      : 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				,    lowerCamelCase=False				,    lowerCamelCase=0.0				,    lowerCamelCase=30145				,    lowerCamelCase=2048				,    lowerCamelCase=12				,    lowerCamelCase=16				,    lowerCamelCase=0.1				,    lowerCamelCase=0.1				,    lowerCamelCase=True				,    lowerCamelCase=False				,    lowerCamelCase=False				,    lowerCamelCase=False				,    lowerCamelCase=1				,    lowerCamelCase=True				,    lowerCamelCase=512				,    lowerCamelCase=2048**-0.5				,    lowerCamelCase=1e-12				,    lowerCamelCase=0.02				,    lowerCamelCase=0				,    lowerCamelCase=1				,    lowerCamelCase=2				,    lowerCamelCase=3				,    lowerCamelCase=5				,    lowerCamelCase=True				,    lowerCamelCase="first"				,    lowerCamelCase=True				,    lowerCamelCase=None				,    lowerCamelCase=True				,    lowerCamelCase=0.1				,    lowerCamelCase=5				,    lowerCamelCase=5				,    lowerCamelCase=0				,    lowerCamelCase=0				,    lowerCamelCase=2				,    lowerCamelCase=0				,    **lowerCamelCase				,    )		->			Any:
        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=lowerCamelCase				,    bos_token_id=lowerCamelCase				,    **lowerCamelCase  )







class 					__lowerCamelCase							(      a_      ):







      @property
      def       lowerCAmelCase_       (	self  )		->			Mapping[str, Mapping[int, str]]:
        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),
            ]  )
def SCREAMING_SNAKE_CASE					(  lowercase_:						int					):
       return n * (2 * n - 1)


def SCREAMING_SNAKE_CASE					(  lowercase_:						int					):
       _UpperCamelCase  :							str	    =	(1 + 24 * n) ** 0.5
       return ((1 + root) / 6) % 1 == 0


def SCREAMING_SNAKE_CASE					(  lowercase_:						int = 144					):
       _UpperCamelCase  :							Optional[Any]	    =	start
       _UpperCamelCase  :							List[str]	    =	hexagonal_num(lowercase_					)
       while not is_pentagonal(lowercase_					):
              n += 1
              _UpperCamelCase  :							Optional[int]	    =	hexagonal_num(lowercase_					)
       return num


if __name__ == "__main__":
 print(f'''{solution()} = ''')



