



'''simple docstring'''



from .balanced_parentheses import balanced_parentheses
from .stack import Stack


def 							__UpperCAmelCase				(				UpperCamelCase__				:str			)		->						int:
				return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(UpperCamelCase__   ,				-1			)


def 							__UpperCAmelCase				(				UpperCamelCase__				:str			)		->						str:
				if not balanced_parentheses(UpperCamelCase__			):
								raise ValueError('''Mismatched parentheses'''			)
				snake_case__      :   Stack[str]      =    Stack()
				snake_case__      :   int      =    []
				for char in expression_str:
								if char.isalpha() or char.isdigit():
												postfix.append(UpperCamelCase__			)
								elif char == "(":
												stack.push(UpperCamelCase__			)
								elif char == ")":
												while not stack.is_empty() and stack.peek() != "(":
																postfix.append(stack.pop()			)
												stack.pop()
								else:
												while not stack.is_empty() and precedence(UpperCamelCase__			) <= precedence(stack.peek()			):
																postfix.append(stack.pop()			)
												stack.push(UpperCamelCase__			)
				while not stack.is_empty():
								postfix.append(stack.pop()			)
				return " ".join(UpperCamelCase__			)


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

				testmod()
				_lowercase       :						str						="a+b*(c^d-e)^(f+g*h)-i"

				print("Infix to Postfix Notation demonstration:\n")
				print("Infix notation: " + expression)
				print("Postfix notation: " + infix_to_postfix(expression))












"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


A__       :			Union[str, Any]=						logging.get_logger(__name__)

A__       :			Dict=						{
    """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/config.json""",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}
class  __lowerCamelCase     (	_a	):
   a   :					Optional[int]			    ="""rembert"""

   def __init__(       self			,					snake_case_=25_0300			,					snake_case_=1152			,					snake_case_=32			,					snake_case_=18			,					snake_case_=256			,					snake_case_=1664			,					snake_case_=4608			,					snake_case_="gelu"			,					snake_case_=0.0			,					snake_case_=0.0			,					snake_case_=0.1			,					snake_case_=512			,					snake_case_=2			,					snake_case_=0.02			,					snake_case_=1E-12			,					snake_case_=True			,					snake_case_=0			,					snake_case_=312			,					snake_case_=313			,					**snake_case_			,					)		->							str:
       super().__init__(pad_token_id=snake_case_			,					bos_token_id=snake_case_			,					eos_token_id=snake_case_			,					**snake_case_   )

       UpperCamelCase__								=     vocab_size
       UpperCamelCase__								=     input_embedding_size
       UpperCamelCase__								=     output_embedding_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__								=     classifier_dropout_prob
       UpperCamelCase__								=     initializer_range
       UpperCamelCase__								=     type_vocab_size
       UpperCamelCase__								=     layer_norm_eps
       UpperCamelCase__								=     use_cache
       UpperCamelCase__								=     False







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),
               ('token_type_ids', dynamic_axis),
           ]   )







   @property
   def     SCREAMING_SNAKE_CASE__			(       self   )		->							float:
       return 1E-4




