




'''simple docstring'''







from .balanced_parentheses import balanced_parentheses
from .stack import Stack






def 	_lowercase	(			lowercase_						):



		'''simple docstring'''







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






def 	_lowercase	(			lowercase_						):



		'''simple docstring'''







		if not balanced_parentheses(lowercase_						):
				raise ValueError("Mismatched parentheses"						)
		_snake_case			 = Stack()
		_snake_case			 = []
		for char in expression_str:
				if char.isalpha() or char.isdigit():
						postfix.append(lowercase_						)
				elif char == "(":
						stack.push(lowercase_						)
				elif char == ")":
						while not stack.is_empty() and stack.peek() != "(":
								postfix.append(stack.pop()						)
						stack.pop()
				else:
						while not stack.is_empty() and precedence(lowercase_						) <= precedence(stack.peek()						):
								postfix.append(stack.pop()						)
						stack.push(lowercase_						)
		while not stack.is_empty():
				postfix.append(stack.pop()						)
		return " ".join(lowercase_						)


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

						testmod()
						_lowerCamelCase							:		Any  			=						'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'''







import unittest
import warnings
from dataclasses import dataclass

from transformers.convert_slow_tokenizer import SpmConverter
from transformers.testing_utils import get_tests_dir





@dataclass
class   lowerCamelCase_							:




					'''simple docstring'''






					lowercase__					=				42





class   lowerCamelCase_							( unittest.TestCase							):




					'''simple docstring'''






					def        __SCREAMING_SNAKE_CASE			(					self				):
							_snake_case			 = get_tests_dir("fixtures/test_sentencepiece.model"				)
							_snake_case			 = get_tests_dir("fixtures/test_sentencepiece_with_bytefallback.model"				)

							_snake_case			 = FakeOriginalTokenizer(vocab_file=__UpperCamelCase				)

							with warnings.catch_warnings(record=__UpperCamelCase				) as w:
									_snake_case			 = SpmConverter(__UpperCamelCase				)
							self.assertEqual(len(__UpperCamelCase				),						0				)

							_snake_case			 = FakeOriginalTokenizer(vocab_file=__UpperCamelCase				)

							with warnings.catch_warnings(record=__UpperCamelCase				) as w:
									_snake_case			 = SpmConverter(__UpperCamelCase				)
							self.assertEqual(len(__UpperCamelCase				),						1				)

							self.assertIn(
							    "The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option"
							    " which is not implemented in the fast tokenizers.",						str(w[0].message				),						)





