




def 						lowerCAmelCase		(		_lowerCAmelCase							:   Tuple	)     ->   str:




 """simple docstring"""







 UpperCAmelCase__							 =						[]
 UpperCAmelCase__							 =						[]
 UpperCAmelCase__							 =						{
     "^": 3,
     "*": 2,
     "/": 2,
     "%": 2,
     "+": 1,
     "-": 1,
 }  # Priority of each operator
 UpperCAmelCase__							 =						len(_lowerCAmelCase	) if (len(_lowerCAmelCase	) > 7) else 7

 # Print table header for output
 print(
     "Symbol".center(8	)						,							"Stack".center(_lowerCAmelCase	)						,							"Postfix".center(_lowerCAmelCase	)						,							sep=" | "						,							)
 print("-" * (print_width * 3 + 7)	)

 for x in infix:
  if x.isalpha() or x.isdigit():
   post_fix.append(_lowerCAmelCase	)  # if x is Alphabet / Digit, add it to Postfix
  elif x == "(":
   stack.append(_lowerCAmelCase	)  # if x is "(" push to Stack
  elif x == ")":  # if x is ")" pop stack until "(" is encountered
   while stack[-1] != "(":
    post_fix.append(stack.pop()	)  # Pop stack & add the content to Postfix
   stack.pop()
  else:
   if len(_lowerCAmelCase	) == 0:
    stack.append(_lowerCAmelCase	)  # If stack is empty, push x to stack
   else:  # while priority of x is not > priority of element in the stack
    while len(_lowerCAmelCase	) > 0 and priority[x] <= priority[stack[-1]]:
     post_fix.append(stack.pop()	)  # pop stack & add to Postfix
    stack.append(_lowerCAmelCase	)  # push x to stack

  print(
      x.center(8	)						,							("".join(_lowerCAmelCase	)).ljust(_lowerCAmelCase	)						,							("".join(_lowerCAmelCase	)).ljust(_lowerCAmelCase	)						,							sep=" | "						,							)  # Output in tabular format

 while len(_lowerCAmelCase	) > 0:  # while stack is not empty
  post_fix.append(stack.pop()	)  # pop stack & add to Postfix
  print(
      " ".center(8	)						,							("".join(_lowerCAmelCase	)).ljust(_lowerCAmelCase	)						,							("".join(_lowerCAmelCase	)).ljust(_lowerCAmelCase	)						,							sep=" | "						,							)  # Output in tabular format

 return "".join(_lowerCAmelCase	)  # return Postfix as str



def 						lowerCAmelCase		(		_lowerCAmelCase							:   Any	)     ->   List[str]:




 """simple docstring"""







 UpperCAmelCase__							 =						list(infix[::-1]	)  # reverse the infix equation

 for i in range(len(_lowerCAmelCase	)	):
  if infix[i] == "(":
   UpperCAmelCase__							 =						")"  # change "(" to ")"
  elif infix[i] == ")":
   UpperCAmelCase__							 =						"("  # change ")" to "("

 return (infix_2_postfix("".join(_lowerCAmelCase	)	))[
     ::-1
 ]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
  _lowerCAmelCase						:   Optional[int]		=   input("\nEnter an Infix Equation = ")  # Input an Infix equation
  _lowerCAmelCase						:   Optional[Any]		=   "".join(Infix.split())  # Remove spaces from the input
  print("\n\t", Infix, "(Infix) -> ", infix_2_prefix(Infix), "(Prefix)")











from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCAmelCase						:   Optional[int]		=   {
    "configuration_maskformer": ["MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "MaskFormerConfig"],
    "configuration_maskformer_swin": ["MaskFormerSwinConfig"],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase						:   Optional[int]		=   ["MaskFormerFeatureExtractor"]
  _lowerCAmelCase						:   Dict		=   ["MaskFormerImageProcessor"]


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase						:   int		=   [
      "MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "MaskFormerForInstanceSegmentation",
      "MaskFormerModel",
      "MaskFormerPreTrainedModel",
  ]
  _lowerCAmelCase						:   List[str]		=   [
      "MaskFormerSwinBackbone",
      "MaskFormerSwinModel",
      "MaskFormerSwinPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_maskformer import MASKFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskFormerConfig
  from .configuration_maskformer_swin import MaskFormerSwinConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_maskformer import MaskFormerFeatureExtractor
    from .image_processing_maskformer import MaskFormerImageProcessor
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_maskformer import (
        MASKFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        MaskFormerForInstanceSegmentation,
        MaskFormerModel,
        MaskFormerPreTrainedModel,
    )
    from .modeling_maskformer_swin import (
        MaskFormerSwinBackbone,
        MaskFormerSwinModel,
        MaskFormerSwinPreTrainedModel,
    )


else:
  import sys

  _lowerCAmelCase						:   str		=   _LazyModule(__name__, globals()["__file__"], _import_structure)





