



"""simple docstring"""






def 			snake_case_    ( A_   :						int		):


       '''simple docstring'''





       if not isinstance(A_,							A_		):
              raise ValueError('''check_bouncy() accepts only integer arguments'''		)
       _lowerCamelCase		:							Tuple            =					str(A_		)
       _lowerCamelCase		:							int            =					''''''.join(sorted(A_		)		)
       return sorted_str_n != str_n and sorted_str_n[::-1] != str_n






def 			snake_case_    ( A_   :						float = 99		):


       '''simple docstring'''





       if not 0 < percent < 1_00:
              raise ValueError('''solution() only accepts values from 0 to 100'''		)
       _lowerCamelCase		:							List[str]            =					0
       _lowerCamelCase		:							List[str]            =					1

       while True:
              if check_bouncy(A_		):
                     bouncy_num += 1
              if (bouncy_num / num) * 1_00 >= percent:
                     return num
              num += 1


if __name__ == "__main__":
   from doctest import testmod

   testmod()
   print(F"""{solution(99)}""")




# 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  (		__magic_name__							):

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

 SCREAMING_SNAKE_CASE_				:					Union[str, Any]       						=["audio"]
 SCREAMING_SNAKE_CASE_				:					Any       						=["text"]

 def      __lowerCAmelCase  (						self			:			List[Any]					, SCREAMING_SNAKE_CASE__			:			List[Any]   ):






      """simple docstring"""



      return self.pre_processor(SCREAMING_SNAKE_CASE__					, return_tensors='pt'   ).input_features

 def      __lowerCAmelCase  (						self			:			Tuple					, SCREAMING_SNAKE_CASE__			:			Union[str, Any]   ):






      """simple docstring"""



      return self.model.generate(inputs=SCREAMING_SNAKE_CASE__   )






 def      __lowerCAmelCase  (						self			:			List[str]					, SCREAMING_SNAKE_CASE__			:			List[str]   ):






      """simple docstring"""



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


