code: '''simple docstring'''
  
  from .balanced_parentheses import balanced_parentheses
  from .stack import Stack
  
  
  
  def        SCREAMING_SNAKE_CASE__(		_UpperCamelCase      :				str   )		->					int:
  
  
  
  
  
     '''simple docstring'''
  
  
  
  
  
  
  
     return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(_UpperCamelCase    ,		-1   )
  
  
  
  def        SCREAMING_SNAKE_CASE__(		_UpperCamelCase      :				str   )		->					str:
  
  
  
  
  
     '''simple docstring'''
  
  
  
  
  
  
  
     if not balanced_parentheses(_UpperCamelCase   ):
        raise ValueError("Mismatched parentheses"   )
     UpperCamelCase__ 						=						Stack()
     UpperCamelCase__ 						=						[]
     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:		int							=     "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))
style_context: 
  
  
  '''simple docstring'''
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_sentencepiece_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  __lowercase:		int							=     {
      "configuration_open_llama": ["OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "OpenLlamaConfig"],
  }
  
  try:
         if not is_sentencepiece_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         __lowercase:		str							=     ["LlamaTokenizer"]
  
  try:
         if not is_tokenizers_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         __lowercase:		List[Any]							=     ["LlamaTokenizerFast"]
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         __lowercase:		Union[str, Any]							=     [
             "OpenLlamaForCausalLM",
             "OpenLlamaModel",
             "OpenLlamaPreTrainedModel",
             "OpenLlamaForSequenceClassification",
         ]
  
  
  if TYPE_CHECKING:
         from .configuration_open_llama import OPEN_LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenLlamaConfig
  
         try:
                if not is_sentencepiece_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from transformers import LlamaTokenizer
  
         try:
                if not is_tokenizers_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from transformers import LlamaTokenizerFast
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_open_llama import (
                    OpenLlamaForCausalLM,
                    OpenLlamaForSequenceClassification,
                    OpenLlamaModel,
                    OpenLlamaPreTrainedModel,
                )
  
  
  else:
         import sys
  
         __lowercase:		Tuple							=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)