




'''simple docstring'''





from ..models.whisper import WhisperForConditionalGeneration, WhisperProcessor
from .base import PipelineTool

class        _a    (						__lowercase							):
					SCREAMING_SNAKE_CASE_							:   Optional[Any]       =						'''openai/whisper-base'''
					SCREAMING_SNAKE_CASE_							:   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_							:   Dict       =						'''transcriber'''
					SCREAMING_SNAKE_CASE_							:   Any       =						WhisperProcessor
					SCREAMING_SNAKE_CASE_							:   Union[str, Any]       =						WhisperForConditionalGeneration

					SCREAMING_SNAKE_CASE_							:   Union[str, Any]       =						['''audio''']
					SCREAMING_SNAKE_CASE_							:   Optional[int]       =						['''text''']






					def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      Union[str, Any]:
										return self.pre_processor(UpperCAmelCase__ ,return_tensors="pt"   ).input_features






					def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      Optional[Any]:
										return self.model.generate(inputs=UpperCAmelCase__   )






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








'''simple docstring'''





from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass

@dataclass
class        _a    :
     SCREAMING_SNAKE_CASE_							:   int
     SCREAMING_SNAKE_CASE_							:   TreeNode | None       =						None
     SCREAMING_SNAKE_CASE_							:   TreeNode | None       =						None







UpperCamelCase_						:      Any       =						namedtuple('''CoinsDistribResult''', '''moves excess''')





def      __a     (       _UpperCamelCase:   TreeNode | None   )						->			int:

     """simple docstring"""




     if root is None:
          return 0

     # Validation
     def count_nodes(_UpperCamelCase:   TreeNode | None   ) -> int:
          if node is None:
               return 0

          return count_nodes(node.left   ) + count_nodes(node.right   ) + 1

     def count_coins(_UpperCamelCase:   TreeNode | None   ) -> int:
          if node is None:
               return 0

          return count_coins(node.left   ) + count_coins(node.right   ) + node.data

     if count_nodes(_UpperCamelCase   ) != count_coins(_UpperCamelCase   ):
          raise ValueError("The nodes number should be same as the number of coins"   )

     # Main calculation
     def get_distrib(_UpperCamelCase:   TreeNode | None   ) -> CoinsDistribResult:

          if node is None:
               return CoinsDistribResult(0 ,						1   )

          _snake_case							, _snake_case							=				get_distrib(node.left   )
          _snake_case							, _snake_case							=				get_distrib(node.right   )

          _snake_case							=				1 - left_distrib_excess
          _snake_case							=				1 - right_distrib_excess

          _snake_case							=				(
              left_distrib_moves
              + right_distrib_moves
              + abs(_UpperCamelCase   )
              + abs(_UpperCamelCase   )
          )
          _snake_case							=				node.data - coins_to_left - coins_to_right

          return CoinsDistribResult(_UpperCamelCase ,						_UpperCamelCase   )

     return get_distrib(_UpperCamelCase   )[0]


if __name__ == "__main__":
   import doctest

   doctest.testmod()


