






"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


A__					: Tuple=	logging.get_logger(__name__)

A__					: Union[str, Any]=	{
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}
class    __lowerCamelCase    (  _a  ):
   a      :				Optional[int] 						="""big_bird"""

   def __init__(					self ,				snake_case_=5_0358 ,				snake_case_=768 ,				snake_case_=12 ,				snake_case_=12 ,				snake_case_=3072 ,				snake_case_="gelu_new" ,				snake_case_=0.1 ,				snake_case_=0.1 ,				snake_case_=4096 ,				snake_case_=2 ,				snake_case_=0.02 ,				snake_case_=1E-12 ,				snake_case_=True ,				snake_case_=0 ,				snake_case_=1 ,				snake_case_=2 ,				snake_case_=66 ,				snake_case_="block_sparse" ,				snake_case_=True ,				snake_case_=False ,				snake_case_=64 ,				snake_case_=3 ,				snake_case_=None ,				**snake_case_ ,				)		->       Dict:
       super().__init__(
           pad_token_id=snake_case_ ,				bos_token_id=snake_case_ ,				eos_token_id=snake_case_ ,				sep_token_id=snake_case_ ,				**snake_case_ ,				)

       UpperCamelCase__         =    vocab_size
       UpperCamelCase__         =    max_position_embeddings
       UpperCamelCase__         =    hidden_size
       UpperCamelCase__         =    num_hidden_layers
       UpperCamelCase__         =    num_attention_heads
       UpperCamelCase__         =    intermediate_size
       UpperCamelCase__         =    hidden_act
       UpperCamelCase__         =    hidden_dropout_prob
       UpperCamelCase__         =    attention_probs_dropout_prob
       UpperCamelCase__         =    initializer_range
       UpperCamelCase__         =    type_vocab_size
       UpperCamelCase__         =    layer_norm_eps
       UpperCamelCase__         =    use_cache

       UpperCamelCase__         =    rescale_embeddings
       UpperCamelCase__         =    attention_type
       UpperCamelCase__         =    use_bias
       UpperCamelCase__         =    block_size
       UpperCamelCase__         =    num_random_blocks
       UpperCamelCase__         =    classifier_dropout







class    __lowerCamelCase    (  _a  ):

   @property
   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Mapping[str, Mapping[int, str]]:
       if self.task == "multiple-choice":
           UpperCamelCase__         =    {0: 'batch', 1: 'choice', 2: 'sequence'}
       else:
           UpperCamelCase__         =    {0: 'batch', 1: 'sequence'}
       return OrderedDict(
           [
               ('input_ids', dynamic_axis),
               ('attention_mask', dynamic_axis),
           ]      )












"""simple docstring"""





A__					: Tuple=	"""Alexander Joslin"""

import operator as op

from .stack import Stack







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	int:
    """simple docstring"""

    UpperCamelCase__         =    {'*': op.mul, '/': op.truediv, '+': op.add, '-': op.sub}

    UpperCamelCase__         =    Stack()
    UpperCamelCase__         =    Stack()

    for i in equation:
        if i.isdigit():
            # RULE 1
            operand_stack.push(int(SCREAMING_SNAKE_CASE					)					)
        elif i in operators:
            # RULE 2
            operator_stack.push(SCREAMING_SNAKE_CASE					)
        elif i == ")":
            # RULE 4
            UpperCamelCase__         =    operator_stack.peek()
            operator_stack.pop()
            UpperCamelCase__         =    operand_stack.peek()
            operand_stack.pop()
            UpperCamelCase__         =    operand_stack.peek()
            operand_stack.pop()

            UpperCamelCase__         =    operators[opr](SCREAMING_SNAKE_CASE ,	SCREAMING_SNAKE_CASE					)
            operand_stack.push(SCREAMING_SNAKE_CASE					)

    # RULE 5
    return operand_stack.peek()


if __name__ == "__main__":
  A__					: int=	"""(5 + ((4 * 2) * (2 + 3)))"""
  # answer = 45
  print(F"""{equation} = {dijkstras_two_stack_algorithm(equation)}""")




