





"""simple docstring"""
from .stack import Stack




def 			__snake_case						(      __A    )		->				bool:
   lowercase    :			Stack[str]  =       Stack()
   lowercase    :			Dict  =       {"""(""": """)""", """[""": """]""", """{""": """}"""}
   for bracket in parentheses:
      if bracket in bracket_pairs:
         stack.push(__A    )
      elif bracket in (")", "]", "}"):
         if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
            return False
   return stack.is_empty()


if __name__ == "__main__":
   from doctest import testmod

   testmod()

   lowerCAmelCase:	Union[str, Any]							      =["((()))", "((())", "(()))"]
   print("Balanced parentheses demonstration:\n")
   for example in examples:
      lowerCAmelCase:	List[Any]							      ="" if balanced_parentheses(example) else "not "
      print(F'{example} is {not_str}balanced')









"""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


