

def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	str      )							->      Dict:





    '''simple docstring'''






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

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

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

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

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

    return "".join(SCREAMING_SNAKE_CASE__      )  # return Postfix as str
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Tuple      )							->      List[Any]:





    '''simple docstring'''






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

    for i in range(len(SCREAMING_SNAKE_CASE__      )      ):
        if infix[i] == "(":
            A__          =   ')'  # change "(" to ")"
        elif infix[i] == ")":
            A__          =   '('  # change ")" to "("

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


if __name__ == "__main__":
     lowercase_       		=  input("\nEnter an Infix Equation = ")  # Input an Infix equation
     lowercase_       		=  "".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_tf_available,
    is_torch_available,
    is_vision_available,
)


SCREAMING_SNAKE_CASE__   :			List[str]												=    {
    "configuration_blip": [
        "BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlipConfig",
        "BlipTextConfig",
        "BlipVisionConfig",
    ],
    "processing_blip": ["BlipProcessor"],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			str												=    ["BlipImageProcessor"]


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			int												=    [
					    "BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "BlipModel",
					    "BlipPreTrainedModel",
					    "BlipForConditionalGeneration",
					    "BlipForQuestionAnswering",
					    "BlipVisionModel",
					    "BlipTextModel",
					    "BlipForImageTextRetrieval",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__   :			Any												=    [
					    "TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "TFBlipModel",
					    "TFBlipPreTrainedModel",
					    "TFBlipForConditionalGeneration",
					    "TFBlipForQuestionAnswering",
					    "TFBlipVisionModel",
					    "TFBlipTextModel",
					    "TFBlipForImageTextRetrieval",
					]

if TYPE_CHECKING:
					from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
					from .processing_blip import BlipProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_blip import BlipImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_blip import (
										    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BlipForConditionalGeneration,
										    BlipForImageTextRetrieval,
										    BlipForQuestionAnswering,
										    BlipModel,
										    BlipPreTrainedModel,
										    BlipTextModel,
										    BlipVisionModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_blip import (
										    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFBlipForConditionalGeneration,
										    TFBlipForImageTextRetrieval,
										    TFBlipForQuestionAnswering,
										    TFBlipModel,
										    TFBlipPreTrainedModel,
										    TFBlipTextModel,
										    TFBlipVisionModel,
										)

else:
					import sys

					SCREAMING_SNAKE_CASE__   :			Tuple												=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



