


def 		lowercase_(  SCREAMING_SNAKE_CASE_ = 1000	):


  '''simple docstring'''

  lowerCamelCase :					Any    =				2**power
  lowerCamelCase :					Dict    =				str(SCREAMING_SNAKE_CASE_	)
  lowerCamelCase :					List[Any]    =				list(SCREAMING_SNAKE_CASE_	)
  lowerCamelCase :					str    =				0

  for i in list_num:
    sum_of_num += int(SCREAMING_SNAKE_CASE_	)

  return sum_of_num


if __name__ == "__main__":
   _snake_case             =     int(input('''Enter the power of 2: ''').strip())
   print('''2 ^ ''', power, ''' = ''', 2**power)
   _snake_case             =     solution(power)
   print('''Sum of the digits is: ''', result)







# 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 	UpperCAmelCase_					(					UpperCamelCase    ):

   '''simple docstring'''




   __A :      Dict     		=		"openai/whisper-base"
   __A :      str     		=		(
       "This is a tool that transcribes an audio into text. It takes an input named `audio` and returns the "
       "transcribed text."
   )
   __A :      Any     		=		"transcriber"
   __A :      Any     		=		WhisperProcessor
   __A :      int     		=		WhisperForConditionalGeneration

   __A :      Any     		=		["audio"]
   __A :      List[str]     		=		["text"]






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





     return self.pre_processor(__A						,				return_tensors="pt" ).input_features






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





     return self.model.generate(inputs=__A )






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





     return self.pre_processor.batch_decode(__A						,				skip_special_tokens=__A )[0]



