






'''simple docstring'''





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 					snake_case_							(       UpperCamelCase_      ):







   """simple docstring"""



   __lowerCAmelCase      =						"""flaubert"""
   __lowerCAmelCase      =						{
       """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   ,       snake_case__:	Dict=False   ,       snake_case__:	List[Any]=0.0   ,       snake_case__:	List[Any]=30_145   ,       snake_case__:	Optional[Any]=2_048   ,       snake_case__:	Any=12   ,       snake_case__:	str=16   ,       snake_case__:	Dict=0.1   ,       snake_case__:	List[str]=0.1   ,       snake_case__:	str=True   ,       snake_case__:	Dict=False   ,       snake_case__:	Optional[Any]=False   ,       snake_case__:	Dict=False   ,       snake_case__:	Optional[Any]=1   ,       snake_case__:	List[Any]=True   ,       snake_case__:	List[Any]=512   ,       snake_case__:	int=2_048**-0.5   ,       snake_case__:	Any=1E-12   ,       snake_case__:	Any=0.02   ,       snake_case__:	Tuple=0   ,       snake_case__:	Any=1   ,       snake_case__:	List[str]=2   ,       snake_case__:	str=3   ,       snake_case__:	List[Any]=5   ,       snake_case__:	Dict=True   ,       snake_case__:	int="first"   ,       snake_case__:	List[Any]=True   ,       snake_case__:	Dict=None   ,       snake_case__:	str=True   ,       snake_case__:	Tuple=0.1   ,       snake_case__:	List[Any]=5   ,       snake_case__:	Dict=5   ,       snake_case__:	List[str]=0   ,       snake_case__:	List[str]=0   ,       snake_case__:	List[str]=2   ,       snake_case__:	int=0   ,       **snake_case__:	Optional[int]   ,       )  ->		Optional[int]:


       """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 					snake_case_							(       UpperCamelCase_      ):







   """simple docstring"""



   @property
   def 			SCREAMING_SNAKE_CASE__				(    self:	Optional[Any]	)  ->		Mapping[str, Mapping[int, str]]:


       """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),
           ]	)








from __future__ import annotations
def        UpperCAmelCase      (   _lowercase,      _lowercase      ):


    '''simple docstring'''



    _lowercase     =	[None] * (len(_lowercase      ) + len(_lowercase      ))

    _lowercase     =	0  # pointer to current index for left Half
    _lowercase     =	0  # pointer to current index for the right Half
    _lowercase     =	0  # pointer to current index for the sorted array Half

    while pointera < len(_lowercase      ) and pointera < len(_lowercase      ):
        if left_half[pointera] < right_half[pointera]:
            _lowercase     =	left_half[pointera]
            pointera += 1
            index += 1
        else:
            _lowercase     =	right_half[pointera]
            pointera += 1
            index += 1
    while pointera < len(_lowercase      ):
        _lowercase     =	left_half[pointera]
        pointera += 1
        index += 1

    while pointera < len(_lowercase      ):
        _lowercase     =	right_half[pointera]
        pointera += 1
        index += 1

    return sorted_array
def        UpperCAmelCase      (   _lowercase      ):


    '''simple docstring'''



    if len(_lowercase      ) <= 1:
        return array
    # the actual formula to calculate the middle element = left + (right - left) // 2
    # this avoids integer overflow in case of large N
    _lowercase     =	0 + (len(_lowercase      ) - 0) // 2

    # Split the array into halves till the array length becomes equal to One
    # merge the arrays of single length returned by mergeSort function and
    # pass them into the merge arrays function which merges the array
    _lowercase     =	array[:middle]
    _lowercase     =	array[middle:]

    return merge(merge_sort(_lowercase      ),      merge_sort(_lowercase      )      )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
