


SCREAMING_SNAKE_CASE__       			=				{
    """+""": lambda x, y: x + y,
    """-""": lambda x, y: x - y,
    """*""": lambda x, y: x * y,
    """/""": lambda x, y: x / y,
}




def SCREAMING_SNAKE_CASE_  (				__lowerCamelCase:		str  ):







	'''simple docstring'''



	return c.isdigit()




def SCREAMING_SNAKE_CASE_  (				__lowerCamelCase:		Union[str, Any]  ):







	'''simple docstring'''



	lowercase_			 = []

	# iterate over the string in reverse order
	for c in expression.split()[::-1]:
		# push operand to stack
		if is_operand(lowercase__  ):
			stack.append(int(lowercase__  )  )

		else:
			# pop values from stack can calculate the result
			# push the result onto the stack again
			lowercase_			 = stack.pop()
			lowercase_			 = stack.pop()
			stack.append(calc[c](lowercase__  ,			lowercase__  )  )

	return stack.pop()


# Driver code
if __name__ == "__main__":
							SCREAMING_SNAKE_CASE__       			=				"""+ 9 * 2 6"""
							print(evaluate(test_expression))

							SCREAMING_SNAKE_CASE__       			=				"""/ * 10 2 + 4 1 """
							print(evaluate(test_expression))






'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowercase											=      {
    '''configuration_align''': [
        '''ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''AlignConfig''',
        '''AlignTextConfig''',
        '''AlignVisionConfig''',
    ],
    '''processing_align''': ['''AlignProcessor'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase											=      [
      '''ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''AlignModel''',
      '''AlignPreTrainedModel''',
      '''AlignTextModel''',
      '''AlignVisionModel''',
  ]

if TYPE_CHECKING:
  from .configuration_align import (
      ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
      AlignConfig,
      AlignTextConfig,
      AlignVisionConfig,
  )
  from .processing_align import AlignProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_align import (
        ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
        AlignModel,
        AlignPreTrainedModel,
        AlignTextModel,
        AlignVisionModel,
    )

else:
  import sys

  lowercase											=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


