

"""simple docstring"""





def   _A  (  UpperCamelCase_     :       Union[str, Any])	->						Dict:
   '''simple docstring'''


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

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

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

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

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

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




def   _A  (  UpperCamelCase_     :       Union[str, Any])	->						List[Any]:
   '''simple docstring'''


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

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

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


if __name__ == "__main__":
   _a       =							input('\nEnter an Infix Equation = ')  # Input an Infix equation
   _a       =							''.join(Infix.split())  # Remove spaces from the input
   print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')







"""simple docstring"""





# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.whisper import WhisperForConditionalGeneration, WhisperProcessor
from .base import PipelineTool




class 					_lowerCAmelCase  (	lowercase   ):







 """simple docstring"""







 __UpperCAmelCase	:					Tuple   		=	"openai/whisper-base"
 __UpperCAmelCase	:					Union[str, Any]   		=	(
     "This is a tool that transcribes an audio into text. It takes an input named `audio` and returns the "
     "transcribed text."
 )
 __UpperCAmelCase	:					List[str]   		=	"transcriber"
 __UpperCAmelCase	:					Optional[Any]   		=	WhisperProcessor
 __UpperCAmelCase	:					str   		=	WhisperForConditionalGeneration

 __UpperCAmelCase	:					List[str]   		=	["audio"]
 __UpperCAmelCase	:					Tuple   		=	["text"]


 def 					_lowercase (			self							:			str,					UpperCAmelCase__							:			int	):
    return self.pre_processor(UpperCAmelCase__,					return_tensors="pt"	).input_features


 def 					_lowercase (			self							:			Union[str, Any],					UpperCAmelCase__							:			Optional[Any]	):
    return self.model.generate(inputs=UpperCAmelCase__	)



 def 					_lowercase (			self							:			Dict,					UpperCAmelCase__							:			Optional[int]	):
    return self.pre_processor.batch_decode(UpperCAmelCase__,					skip_special_tokens=UpperCAmelCase__	)[0]




