






"""simple docstring"""






def    _A     (__a				)					->			Optional[Any]:
    """simple docstring"""






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

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

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

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

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

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



def    _A     (__a				)					->			List[str]:
    """simple docstring"""






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

    for i in range(len(lowercase_				)				):
        if infix[i] == "(":
            SCREAMING_SNAKE_CASE_ :    Optional[int]       		=						''')'''  # change "(" to ")"
        elif infix[i] == ")":
            SCREAMING_SNAKE_CASE_ :    List[str]       		=						'''('''  # change ")" to "("

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


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






from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase       		=    logging.get_logger(__name__)

lowerCAmelCase       		=    {
    """google/mobilenet_v2_1.4_224""": """https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json""",
    """google/mobilenet_v2_1.0_224""": """https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v2_0.75_160""": """https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json""",
    """google/mobilenet_v2_0.35_96""": """https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json""",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}




class 							lowerCamelCase   (  _UpperCamelCase ):
	_lowerCAmelCase     :		Optional[Any]										=						'''mobilenet_v2'''


	def __init__(    self				,     lowercase__=3				,     lowercase__=2_2_4				,     lowercase__=1.0				,     lowercase__=8				,     lowercase__=8				,     lowercase__=6				,     lowercase__=3_2				,     lowercase__=True				,     lowercase__=True				,     lowercase__="relu6"				,     lowercase__=True				,     lowercase__=0.8				,     lowercase__=0.0_2				,     lowercase__=0.0_0_1				,     lowercase__=2_5_5				,     **lowercase__				,     ):
							super().__init__(**lowercase__)

							if depth_multiplier <= 0:
													raise ValueError('''depth_multiplier must be greater than zero.''')

							__UpperCAmelCase			:							Optional[int]	    =	num_channels
							__UpperCAmelCase			:							Optional[Any]	    =	image_size
							__UpperCAmelCase			:							Dict	    =	depth_multiplier
							__UpperCAmelCase			:							Optional[Any]	    =	depth_divisible_by
							__UpperCAmelCase			:							Union[str, Any]	    =	min_depth
							__UpperCAmelCase			:							Dict	    =	expand_ratio
							__UpperCAmelCase			:							int	    =	output_stride
							__UpperCAmelCase			:							Tuple	    =	first_layer_is_expansion
							__UpperCAmelCase			:							Union[str, Any]	    =	finegrained_output
							__UpperCAmelCase			:							int	    =	hidden_act
							__UpperCAmelCase			:							Tuple	    =	tf_padding
							__UpperCAmelCase			:							List[str]	    =	classifier_dropout_prob
							__UpperCAmelCase			:							Optional[Any]	    =	initializer_range
							__UpperCAmelCase			:							List[str]	    =	layer_norm_eps
							__UpperCAmelCase			:							Optional[int]	    =	semantic_loss_ignore_index






class 							lowerCamelCase   (  _UpperCamelCase ):
	_lowerCAmelCase     :		Tuple										=						version.parse('''1.11''' )


	@property
	def  A(    self):
							return OrderedDict([('''pixel_values''', {0: '''batch'''})])


	@property
	def  A(    self):
							if self.task == "image-classification":
													return OrderedDict([('''logits''', {0: '''batch'''})])
							else:
													return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})])


	@property
	def  A(    self):
							return 1e-4

