'''simple docstring'''

from ...processing_utils import ProcessorMixin



class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    "SpeechT5FeatureExtractor"
       SCREAMING_SNAKE_CASE							=    "SpeechT5Tokenizer"

       def __init__(						self	,   __lowerCAmelCase	,   __lowerCAmelCase )  ->  Any:
        super().__init__(__lowerCAmelCase	,   __lowerCAmelCase )

       def __call__(						self	,   *__lowerCAmelCase	,   **__lowerCAmelCase )  ->  List[Any]:
        lowercase__				:    List[Any]  =					kwargs.pop('''audio'''	,   __lowerCAmelCase )
        lowercase__				:    Dict  =					kwargs.pop('''text'''	,   __lowerCAmelCase )
        lowercase__				:    Tuple  =					kwargs.pop('''text_target'''	,   __lowerCAmelCase )
        lowercase__				:    Tuple  =					kwargs.pop('''audio_target'''	,   __lowerCAmelCase )
        lowercase__				:    Optional[int]  =					kwargs.pop('''sampling_rate'''	,   __lowerCAmelCase )

        if audio is not None and text is not None:
         raise ValueError(
             '''Cannot process both `audio` and `text` inputs. Did you mean `audio_target` or `text_target`?''' )
        if audio_target is not None and text_target is not None:
         raise ValueError(
             '''Cannot process both `audio_target` and `text_target` inputs. Did you mean `audio` or `text`?''' )
        if audio is None and audio_target is None and text is None and text_target is None:
         raise ValueError(
             '''You need to specify either an `audio`, `audio_target`, `text`, or `text_target` input to process.''' )

        if audio is not None:
         lowercase__				:    List[Any]  =					self.feature_extractor(__lowerCAmelCase	,   *__lowerCAmelCase	,   sampling_rate=__lowerCAmelCase	,   **__lowerCAmelCase )
        elif text is not None:
         lowercase__				:    Union[str, Any]  =					self.tokenizer(__lowerCAmelCase	,   **__lowerCAmelCase )
        else:
         lowercase__				:    List[Any]  =					None

        if audio_target is not None:
         lowercase__				:    Any  =					self.feature_extractor(audio_target=__lowerCAmelCase	,   *__lowerCAmelCase	,   sampling_rate=__lowerCAmelCase	,   **__lowerCAmelCase )
         lowercase__				:    List[str]  =					targets['''input_values''']
        elif text_target is not None:
         lowercase__				:    int  =					self.tokenizer(__lowerCAmelCase	,   **__lowerCAmelCase )
         lowercase__				:    List[str]  =					targets['''input_ids''']
        else:
         lowercase__				:    str  =					None

        if inputs is None:
         return targets

        if targets is not None:
         lowercase__				:    Optional[Any]  =					labels

         lowercase__				:    Optional[int]  =					targets.get('''attention_mask''' )
         if decoder_attention_mask is not None:
          lowercase__				:    Optional[Any]  =					decoder_attention_mask

        return inputs

       def _lowerCAmelCase(						self	,   *__lowerCAmelCase	,   **__lowerCAmelCase )  ->  Tuple:
        lowercase__				:    List[str]  =					kwargs.pop('''input_values'''	,   __lowerCAmelCase )
        lowercase__				:    int  =					kwargs.pop('''input_ids'''	,   __lowerCAmelCase )
        lowercase__				:    str  =					kwargs.pop('''labels'''	,   __lowerCAmelCase )

        if input_values is not None and input_ids is not None:
         raise ValueError('''Cannot process both `input_values` and `input_ids` inputs.''' )
        if input_values is None and input_ids is None and labels is None:
         raise ValueError(
             '''You need to specify either an `input_values`, `input_ids`, or `labels` input to be padded.''' )

        if input_values is not None:
         lowercase__				:    Tuple  =					self.feature_extractor.pad(__lowerCAmelCase	,   *__lowerCAmelCase	,   **__lowerCAmelCase )
        elif input_ids is not None:
         lowercase__				:    List[Any]  =					self.tokenizer.pad(__lowerCAmelCase	,   **__lowerCAmelCase )
        else:
         lowercase__				:    List[str]  =					None

        if labels is not None:
         if "input_ids" in labels or (isinstance(__lowerCAmelCase	,   __lowerCAmelCase ) and "input_ids" in labels[0]):
          lowercase__				:    List[Any]  =					self.tokenizer.pad(__lowerCAmelCase	,   **__lowerCAmelCase )
          lowercase__				:    List[str]  =					targets['''input_ids''']
         else:
          lowercase__				:    str  =					self.feature_extractor.feature_size
          lowercase__				:    Tuple  =					self.feature_extractor.num_mel_bins
          lowercase__				:    Optional[Any]  =					self.feature_extractor.pad(__lowerCAmelCase	,   *__lowerCAmelCase	,   **__lowerCAmelCase )
          lowercase__				:    Optional[int]  =					feature_size_hack
          lowercase__				:    Optional[Any]  =					targets['''input_values''']
        else:
         lowercase__				:    str  =					None

        if inputs is None:
         return targets

        if targets is not None:
         lowercase__				:    List[Any]  =					labels

         lowercase__				:    str  =					targets.get('''attention_mask''' )
         if decoder_attention_mask is not None:
          lowercase__				:    List[Any]  =					decoder_attention_mask

        return inputs

       def _lowerCAmelCase(						self	,   *__lowerCAmelCase	,   **__lowerCAmelCase )  ->  Optional[Any]:
        return self.tokenizer.batch_decode(*__lowerCAmelCase	,   **__lowerCAmelCase )


       def _lowerCAmelCase(						self	,   *__lowerCAmelCase	,   **__lowerCAmelCase )  ->  Tuple:
        return self.tokenizer.decode(*__lowerCAmelCase	,   **__lowerCAmelCase )


'''simple docstring'''

def 			__UpperCamelCase       (   UpperCAmelCase     ):
 lowercase__				:    List[str]  =					0
 while num > 0:
  digit_sum += num % 10
  num //= 10
 return digit_sum
def 			__UpperCamelCase       (   UpperCAmelCase = 100     ):
 lowercase__				:    Dict  =					1
 lowercase__				:    Optional[int]  =					2

 for i in range(2		,     max_n + 1     ):
  lowercase__				:    List[str]  =					pre_numerator
  lowercase__				:    Optional[Any]  =					2 * i // 3 if i % 3 == 0 else 1
  lowercase__				:    Union[str, Any]  =					cur_numerator
  lowercase__				:    int  =					e_cont * pre_numerator + temp

 return sum_digits(UpperCAmelCase     )


if __name__ == "__main__":
  print(F'{solution() = }')

