


'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


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

lowerCamelCase							:       Optional[int]  						=     {
    '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					):





      '''simple docstring'''






      lowerCAmelCase__ :					Tuple   =							"""flaubert"""
      lowerCAmelCase__ :					List[Any]   =							{
          """hidden_size""": """emb_dim""",
          """num_attention_heads""": """n_heads""",
          """num_hidden_layers""": """n_layers""",
          """n_words""": """vocab_size""",  # For backward compatibility
      }



      def __init__(self   :   str       ,						UpperCamelCase   :   Tuple=False       ,						UpperCamelCase   :   int=0.0       ,						UpperCamelCase   :   str=30145       ,						UpperCamelCase   :   Any=2048       ,						UpperCamelCase   :   Tuple=12       ,						UpperCamelCase   :   Any=16       ,						UpperCamelCase   :   Optional[Any]=0.1       ,						UpperCamelCase   :   Any=0.1       ,						UpperCamelCase   :   List[Any]=True       ,						UpperCamelCase   :   Tuple=False       ,						UpperCamelCase   :   List[Any]=False       ,						UpperCamelCase   :   int=False       ,						UpperCamelCase   :   Optional[int]=1       ,						UpperCamelCase   :   int=True       ,						UpperCamelCase   :   int=512       ,						UpperCamelCase   :   str=2048**-0.5       ,						UpperCamelCase   :   Dict=1E-12       ,						UpperCamelCase   :   Tuple=0.02       ,						UpperCamelCase   :   Tuple=0       ,						UpperCamelCase   :   Optional[Any]=1       ,						UpperCamelCase   :   Dict=2       ,						UpperCamelCase   :   List[Any]=3       ,						UpperCamelCase   :   Union[str, Any]=5       ,						UpperCamelCase   :   str=True       ,						UpperCamelCase   :   Tuple="first"       ,						UpperCamelCase   :   Optional[int]=True       ,						UpperCamelCase   :   Optional[Any]=None       ,						UpperCamelCase   :   Tuple=True       ,						UpperCamelCase   :   List[str]=0.1       ,						UpperCamelCase   :   Tuple=5       ,						UpperCamelCase   :   Any=5       ,						UpperCamelCase   :   List[Any]=0       ,						UpperCamelCase   :   Union[str, Any]=0       ,						UpperCamelCase   :   Optional[int]=2       ,						UpperCamelCase   :   List[str]=0       ,						**UpperCamelCase   :   List[str]       ,						):

             '''simple docstring'''







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

             if "n_words" in kwargs:
                    lowercase__				      =			kwargs['''n_words''']

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






class   __lowerCAmelCase						(_A					):





      '''simple docstring'''






      @property
      def 				UpperCamelCase__		(self   :   Union[str, Any]			):

             '''simple docstring'''







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








'''simple docstring'''

def _SCREAMING_SNAKE_CASE				(A	)	->	list:






       """simple docstring"""







       lowercase__				      =			len(A	)

       # Set the gap value to be decreased by a factor of 1.3
       # after each iteration
       lowercase__				      =			1.3

       # Continue sorting until the gap is 1
       while gap > 1:
              # Decrease the gap value
              lowercase__				      =			int(gap / shrink	)

              # Sort the elements using insertion sort
              for i in range(A  ,			len(A	)	):
                     lowercase__				      =			collection[i]
                     lowercase__				      =			i
                     while j >= gap and collection[j - gap] > temp:
                            lowercase__				      =			collection[j - gap]
                            j -= gap
                     lowercase__				      =			temp

       return collection


if __name__ == "__main__":
 import doctest

 doctest.testmod()




