



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase         =	logging.get_logger(__name__)

_lowerCamelCase         =	{
    """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/config.json""",
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}

class    _SCREAMING_SNAKE_CASE						(UpperCamelCase			):
     lowerCAmelCase       =      """qdqbert"""





     def __init__(							self			:				str  ,	UpperCamelCase			:				Union[str, Any]=3_0_5_2_2  ,	UpperCamelCase			:				str=7_6_8  ,	UpperCamelCase			:				int=1_2  ,	UpperCamelCase			:				List[Any]=1_2  ,	UpperCamelCase			:				str=3_0_7_2  ,	UpperCamelCase			:				Optional[int]="gelu"  ,	UpperCamelCase			:				Optional[int]=0.1  ,	UpperCamelCase			:				int=0.1  ,	UpperCamelCase			:				Tuple=5_1_2  ,	UpperCamelCase			:				str=2  ,	UpperCamelCase			:				Optional[Any]=0.0_2  ,	UpperCamelCase			:				List[str]=1E-12  ,	UpperCamelCase			:				Dict=True  ,	UpperCamelCase			:				Optional[int]=1  ,	UpperCamelCase			:				Any=0  ,	UpperCamelCase			:				Union[str, Any]=2  ,	**UpperCamelCase			:				Tuple  ,	)->Tuple:
      super().__init__(pad_token_id=UpperCamelCase  ,	bos_token_id=UpperCamelCase  ,	eos_token_id=UpperCamelCase  ,	**UpperCamelCase					)

      __SCREAMING_SNAKE_CASE							:     Dict							=						vocab_size
      __SCREAMING_SNAKE_CASE							:     List[str]							=						max_position_embeddings
      __SCREAMING_SNAKE_CASE							:     Optional[int]							=						hidden_size
      __SCREAMING_SNAKE_CASE							:     List[str]							=						num_hidden_layers
      __SCREAMING_SNAKE_CASE							:     int							=						num_attention_heads
      __SCREAMING_SNAKE_CASE							:     Tuple							=						intermediate_size
      __SCREAMING_SNAKE_CASE							:     List[str]							=						hidden_act
      __SCREAMING_SNAKE_CASE							:     int							=						hidden_dropout_prob
      __SCREAMING_SNAKE_CASE							:     Tuple							=						attention_probs_dropout_prob
      __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						initializer_range
      __SCREAMING_SNAKE_CASE							:     Tuple							=						type_vocab_size
      __SCREAMING_SNAKE_CASE							:     List[str]							=						layer_norm_eps
      __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						use_cache














from __future__ import annotations

from typing import Any
class 							__snake_case:



 def __init__(						self : str			,		UpperCAmelCase__ : Any			,		UpperCAmelCase__ : Any						):  # noqa: A002

    """simple docstring"""






    lowercase__    :						Optional[int]       =			item
    lowercase__    :						Union[str, Any]       =			next
class 							__snake_case:



 def __init__(						self : List[Any]						):

    """simple docstring"""






    lowercase__    :						Node | None       =			None
    lowercase__    :						Optional[Any]       =			0



 def     UpperCAmelCase     (						self : List[Any]			,		UpperCAmelCase__ : Any						):

    """simple docstring"""






    lowercase__    :						Any       =			Node(UpperCAmelCase__			,		self.head						)
    self.size += 1



 def     UpperCAmelCase     (						self : Dict						):

    """simple docstring"""






    if self.head is None:
       return None
    else:
       lowercase__    :						List[Any]       =			self.head.item
       lowercase__    :						Optional[Any]       =			self.head.next
       self.size -= 1
       return item



 def     UpperCAmelCase     (						self : Union[str, Any]						):

    """simple docstring"""






    return self.head is None



 def __str__(						self : List[str]						):

    """simple docstring"""






    if self.is_empty():
       return ""
    else:
       lowercase__    :						Optional[Any]       =			self.head
       lowercase__    :						str       =			""""""
       lowercase__    :						list[str]       =			[]
       while iterate:
          item_list.append(str(iterate.item						)						)
          lowercase__    :						List[str]       =			iterate.next

       lowercase__    :						List[str]       =			""" --> """.join(UpperCAmelCase__						)

       return item_str







 def __len__(						self : List[Any]						):

    """simple docstring"""






    return self.size


