





"""simple docstring"""
from __future__ import annotations

from typing import Any
class lowerCamelCase__  :



   def __init__(       self      ,   snake_case      ,   snake_case	) ->    None:  # noqa: A002







      """simple docstring"""
      lowercase    :			Optional[int]  =       item
      lowercase    :			str  =       next




class lowerCamelCase__  :



   def __init__(       self	) ->    None:







      """simple docstring"""
      lowercase    :			Node | None  =       None
      lowercase    :			List[Any]  =       0



   def    _UpperCAmelCase	(       self      ,   snake_case	) ->    None:







      """simple docstring"""
      lowercase    :			List[str]  =       Node(snake_case      ,   self.head	)
      self.size += 1



   def    _UpperCAmelCase	(       self	) ->    Any:







      """simple docstring"""
      # Switched 'self.is_empty()' to 'self.head is None'
      # because mypy was considering the possibility that 'self.head'
      # can be None in below else part and giving error
      if self.head is None:
         return None
      else:
         lowercase    :			Optional[int]  =       self.head.item
         lowercase    :			Tuple  =       self.head.next
         self.size -= 1
         return item



   def    _UpperCAmelCase	(       self	) ->    bool:







      """simple docstring"""
      return self.head is None



   def __str__(       self	) ->    str:







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

         lowercase    :			Optional[int]  =       """ --> """.join(snake_case	)

         return item_str





   def __len__(       self	) ->    int:







      """simple docstring"""
      return self.size









"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase:	int							      =logging.get_logger(__name__)

lowerCAmelCase:	int							      ={
    "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 lowerCamelCase__  (    __UpperCamelCase				):
   __UpperCAmelCase        =					"""qdqbert"""



   def __init__(       self      ,   snake_case=3_0_5_2_2      ,   snake_case=7_6_8      ,   snake_case=1_2      ,   snake_case=1_2      ,   snake_case=3_0_7_2      ,   snake_case="gelu"      ,   snake_case=0.1      ,   snake_case=0.1      ,   snake_case=5_1_2      ,   snake_case=2      ,   snake_case=0.02      ,   snake_case=1E-12      ,   snake_case=True      ,   snake_case=1      ,   snake_case=0      ,   snake_case=2      ,   **snake_case      ,   ) ->    List[str]:







      """simple docstring"""
      super().__init__(pad_token_id=snake_case      ,   bos_token_id=snake_case      ,   eos_token_id=snake_case      ,   **snake_case	)

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


