
from .balanced_parentheses import balanced_parentheses
from .stack import Stack







def 							UpperCAmelCase				(     UpperCAmelCase      )->		int:







					'''simple docstring'''



					return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(_UpperCamelCase				,-1      )







def 							UpperCAmelCase				(     UpperCAmelCase      )->		str:







					'''simple docstring'''



					if not balanced_parentheses(_UpperCamelCase      ):
										raise ValueError('''Mismatched parentheses'''      )
					SCREAMING_SNAKE_CASE_	      =       Stack()
					SCREAMING_SNAKE_CASE_	      =       []
					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()
		A_														=      "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))






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


A_														=      {
    "configuration_switch_transformers": [
        "SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SwitchTransformersConfig",
        "SwitchTransformersOnnxConfig",
    ]
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A_														=      [
		    "SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "SwitchTransformersEncoderModel",
		    "SwitchTransformersForConditionalGeneration",
		    "SwitchTransformersModel",
		    "SwitchTransformersPreTrainedModel",
		    "SwitchTransformersTop1Router",
		    "SwitchTransformersSparseMLP",
		]


if TYPE_CHECKING:
		from .configuration_switch_transformers import (
		    SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    SwitchTransformersConfig,
		    SwitchTransformersOnnxConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_switch_transformers import (
				    SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SwitchTransformersEncoderModel,
				    SwitchTransformersForConditionalGeneration,
				    SwitchTransformersModel,
				    SwitchTransformersPreTrainedModel,
				    SwitchTransformersSparseMLP,
				    SwitchTransformersTopaRouter,
				)


else:
		import sys

		A_														=      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


