
"""simple docstring"""

from ...processing_utils import ProcessorMixin
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						"SpeechT5FeatureExtractor"
      __SCREAMING_SNAKE_CASE :				Optional[int]				   =						"SpeechT5Tokenizer"




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




      def __call__(				self ,							*lowercase_ ,							**lowercase_				)    ->       Union[str, Any]:
          UpperCAmelCase          =       kwargs.pop('audio' ,							lowercase_				)
          UpperCAmelCase          =       kwargs.pop('text' ,							lowercase_				)
          UpperCAmelCase          =       kwargs.pop('text_target' ,							lowercase_				)
          UpperCAmelCase          =       kwargs.pop('audio_target' ,							lowercase_				)
          UpperCAmelCase          =       kwargs.pop('sampling_rate' ,							lowercase_				)

          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:
              UpperCAmelCase          =       self.feature_extractor(lowercase_ ,							*lowercase_ ,							sampling_rate=lowercase_ ,							**lowercase_				)
          elif text is not None:
              UpperCAmelCase          =       self.tokenizer(lowercase_ ,							**lowercase_				)
          else:
              UpperCAmelCase          =       None

          if audio_target is not None:
              UpperCAmelCase          =       self.feature_extractor(audio_target=lowercase_ ,							*lowercase_ ,							sampling_rate=lowercase_ ,							**lowercase_				)
              UpperCAmelCase          =       targets['input_values']
          elif text_target is not None:
              UpperCAmelCase          =       self.tokenizer(lowercase_ ,							**lowercase_				)
              UpperCAmelCase          =       targets['input_ids']
          else:
              UpperCAmelCase          =       None

          if inputs is None:
              return targets

          if targets is not None:
              UpperCAmelCase          =       labels

              UpperCAmelCase          =       targets.get('attention_mask'				)
              if decoder_attention_mask is not None:
                  UpperCAmelCase          =       decoder_attention_mask

          return inputs




      def      a_   (				self ,							*lowercase_ ,							**lowercase_				)    ->       List[str]:
          UpperCAmelCase          =       kwargs.pop('input_values' ,							lowercase_				)
          UpperCAmelCase          =       kwargs.pop('input_ids' ,							lowercase_				)
          UpperCAmelCase          =       kwargs.pop('labels' ,							lowercase_				)

          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:
              UpperCAmelCase          =       self.feature_extractor.pad(lowercase_ ,							*lowercase_ ,							**lowercase_				)
          elif input_ids is not None:
              UpperCAmelCase          =       self.tokenizer.pad(lowercase_ ,							**lowercase_				)
          else:
              UpperCAmelCase          =       None

          if labels is not None:
              if "input_ids" in labels or (isinstance(lowercase_ ,							lowercase_				) and "input_ids" in labels[0]):
                  UpperCAmelCase          =       self.tokenizer.pad(lowercase_ ,							**lowercase_				)
                  UpperCAmelCase          =       targets['input_ids']
              else:
                  UpperCAmelCase          =       self.feature_extractor.feature_size
                  UpperCAmelCase          =       self.feature_extractor.num_mel_bins
                  UpperCAmelCase          =       self.feature_extractor.pad(lowercase_ ,							*lowercase_ ,							**lowercase_				)
                  UpperCAmelCase          =       feature_size_hack
                  UpperCAmelCase          =       targets['input_values']
          else:
              UpperCAmelCase          =       None

          if inputs is None:
              return targets

          if targets is not None:
              UpperCAmelCase          =       labels

              UpperCAmelCase          =       targets.get('attention_mask'				)
              if decoder_attention_mask is not None:
                  UpperCAmelCase          =       decoder_attention_mask

          return inputs




      def      a_   (				self ,							*lowercase_ ,							**lowercase_				)    ->       Optional[int]:
          return self.tokenizer.batch_decode(*lowercase_ ,							**lowercase_				)




      def      a_   (				self ,							*lowercase_ ,							**lowercase_				)    ->       Any:
          return self.tokenizer.decode(*lowercase_ ,							**lowercase_				)





"""simple docstring"""

from math import ceil, sqrt




def      lowercase__    (       lowerCAmelCase					:       int = 1_000_000			)			->   int:






    """simple docstring"""




    UpperCAmelCase          =       0

    for outer_width in range(3			,					(limit // 4) + 2			):
        if outer_width**2 > limit:
            UpperCAmelCase          =       max(ceil(sqrt(outer_width**2 - limit			)			)			,					1			)
        else:
            UpperCAmelCase          =       1
        if (outer_width - hole_width_lower_bound) % 2:
            hole_width_lower_bound += 1

        answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

    return answer


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



