



"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


lowercase__						:							Any        =      logging.get_logger(__name__)

lowercase__						:							str        =      {
    """nghuyong/ernie-1.0-base-zh""": """https://huggingface.co/nghuyong/ernie-1.0-base-zh/resolve/main/config.json""",
    """nghuyong/ernie-2.0-base-en""": """https://huggingface.co/nghuyong/ernie-2.0-base-en/resolve/main/config.json""",
    """nghuyong/ernie-2.0-large-en""": """https://huggingface.co/nghuyong/ernie-2.0-large-en/resolve/main/config.json""",
    """nghuyong/ernie-3.0-base-zh""": """https://huggingface.co/nghuyong/ernie-3.0-base-zh/resolve/main/config.json""",
    """nghuyong/ernie-3.0-medium-zh""": """https://huggingface.co/nghuyong/ernie-3.0-medium-zh/resolve/main/config.json""",
    """nghuyong/ernie-3.0-mini-zh""": """https://huggingface.co/nghuyong/ernie-3.0-mini-zh/resolve/main/config.json""",
    """nghuyong/ernie-3.0-micro-zh""": """https://huggingface.co/nghuyong/ernie-3.0-micro-zh/resolve/main/config.json""",
    """nghuyong/ernie-3.0-nano-zh""": """https://huggingface.co/nghuyong/ernie-3.0-nano-zh/resolve/main/config.json""",
    """nghuyong/ernie-gram-zh""": """https://huggingface.co/nghuyong/ernie-gram-zh/resolve/main/config.json""",
    """nghuyong/ernie-health-zh""": """https://huggingface.co/nghuyong/ernie-health-zh/resolve/main/config.json""",
}







class  UpperCamelCase__  (      lowercase_    ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE    							=	"""ernie"""



      def __init__( self							: Any       ,     SCREAMING_SNAKE_CASE_							: Tuple=3_0_5_2_2       ,     SCREAMING_SNAKE_CASE_							: Any=7_6_8       ,     SCREAMING_SNAKE_CASE_							: int=1_2       ,     SCREAMING_SNAKE_CASE_							: int=1_2       ,     SCREAMING_SNAKE_CASE_							: Tuple=3_0_7_2       ,     SCREAMING_SNAKE_CASE_							: str="gelu"       ,     SCREAMING_SNAKE_CASE_							: str=0.1       ,     SCREAMING_SNAKE_CASE_							: str=0.1       ,     SCREAMING_SNAKE_CASE_							: List[str]=5_1_2       ,     SCREAMING_SNAKE_CASE_							: Tuple=2       ,     SCREAMING_SNAKE_CASE_							: Dict=3       ,     SCREAMING_SNAKE_CASE_							: Any=False       ,     SCREAMING_SNAKE_CASE_							: Optional[Any]=0.02       ,     SCREAMING_SNAKE_CASE_							: List[str]=1E-12       ,     SCREAMING_SNAKE_CASE_							: List[Any]=0       ,     SCREAMING_SNAKE_CASE_							: List[Any]="absolute"       ,     SCREAMING_SNAKE_CASE_							: str=True       ,     SCREAMING_SNAKE_CASE_							: Optional[Any]=None       ,     **SCREAMING_SNAKE_CASE_							: Any       ,     ):
        super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_       ,     **SCREAMING_SNAKE_CASE_			)

        lowerCAmelCase_  :							Optional[Any]								=					vocab_size
        lowerCAmelCase_  :							Any								=					hidden_size
        lowerCAmelCase_  :							Optional[int]								=					num_hidden_layers
        lowerCAmelCase_  :							str								=					num_attention_heads
        lowerCAmelCase_  :							Any								=					hidden_act
        lowerCAmelCase_  :							str								=					intermediate_size
        lowerCAmelCase_  :							Optional[Any]								=					hidden_dropout_prob
        lowerCAmelCase_  :							List[Any]								=					attention_probs_dropout_prob
        lowerCAmelCase_  :							List[str]								=					max_position_embeddings
        lowerCAmelCase_  :							int								=					type_vocab_size
        lowerCAmelCase_  :							List[str]								=					task_type_vocab_size
        lowerCAmelCase_  :							Union[str, Any]								=					use_task_id
        lowerCAmelCase_  :							Optional[int]								=					initializer_range
        lowerCAmelCase_  :							Optional[int]								=					layer_norm_eps
        lowerCAmelCase_  :							Optional[int]								=					position_embedding_type
        lowerCAmelCase_  :							Optional[int]								=					use_cache
        lowerCAmelCase_  :							Union[str, Any]								=					classifier_dropout







class  UpperCamelCase__  (      lowercase_    ):




      """simple docstring"""




      @property
      def 	SCREAMING_SNAKE_CASE__					( self							: str			):
        if self.task == "multiple-choice":
          lowerCAmelCase_  :							Dict								=					{0: 'batch', 1: 'choice', 2: 'sequence'}
        else:
          lowerCAmelCase_  :							Optional[Any]								=					{0: 'batch', 1: 'sequence'}
        return OrderedDict(
            [
                ('input_ids', dynamic_axis),
                ('attention_mask', dynamic_axis),
                ('token_type_ids', dynamic_axis),
                ('task_type_ids', dynamic_axis),
            ]			)










"""simple docstring"""







from .stack import Stack

def 							UpperCamelCase_       (       lowerCAmelCase__ :							str		)		->  bool:

  """simple docstring"""




  lowerCAmelCase_  :							Stack[str]								=					Stack()
  lowerCAmelCase_  :							List[str]								=					{'(': ')', '[': ']', '{': '}'}
  for bracket in parentheses:
    if bracket in bracket_pairs:
      stack.push(lowerCAmelCase__		)
    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()

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





