





import numpy as np  # noqa: E402

from ...configuration_utils import ConfigMixin, register_to_config
from ...schedulers.scheduling_utils import SchedulerMixin


try:
       import librosa  # noqa: E402

       snake_case__   :				int						=	True
       snake_case__   :				int						=	''''''
except Exception as e:
       snake_case__   :				List[Any]						=	False
       snake_case__   :				Optional[int]						=	(
           f'Cannot import librosa because {e}. Make sure to correctly install librosa to be able to install it.'
       )


from PIL import Image  # noqa: E402





class A_   (     _lowercase					, _lowercase  ):
   lowerCAmelCase__  	=					"""mel_config.json"""




   @register_to_config
   def __init__(self      :Union[str, Any]       ,  _UpperCamelCase      :int = 256       ,  _UpperCamelCase      :int = 256       ,  _UpperCamelCase      :int = 2_2050       ,  _UpperCamelCase      :int = 2048       ,  _UpperCamelCase      :int = 512       ,  _UpperCamelCase      :int = 80       ,  _UpperCamelCase      :int = 32       ,  )->   Dict:
         __A			  =							hop_length
         __A			  =							sample_rate
         __A			  =							n_fft
         __A			  =							top_db
         __A			  =							n_iter
         self.set_resolution(__SCREAMING_SNAKE_CASE       ,  __SCREAMING_SNAKE_CASE					)
         __A			  =							None

         if not _librosa_can_be_imported:
               raise ValueError(_import_error					)




   def _lowerCAmelCase (self      :Optional[Any]       ,  _UpperCamelCase      :int       ,  _UpperCamelCase      :int					)->   str:
         __A			  =							x_res
         __A			  =							y_res
         __A			  =							self.y_res
         __A			  =							self.x_res * self.hop_length - 1




   def _lowerCAmelCase (self      :Tuple       ,  _UpperCamelCase      :str = None       ,  _UpperCamelCase      :np.ndarray = None					)->   List[Any]:
         if audio_file is not None:
               __A  ,		__A			  =							librosa.load(__SCREAMING_SNAKE_CASE       ,  mono=__SCREAMING_SNAKE_CASE       ,  sr=self.sr					)
         else:
               __A			  =							raw_audio

         # Pad with silence if necessary.
         if len(self.audio					) < self.x_res * self.hop_length:
               __A			  =							np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio					),)					)]					)




   def _lowerCAmelCase (self      :List[Any]					)->   Dict:
         return len(self.audio					) // self.slice_size




   def _lowerCAmelCase (self      :List[Any]       ,  _UpperCamelCase      :int = 0					)->   Union[str, Any]:
         return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]




   def _lowerCAmelCase (self      :Dict					)->   Any:
         return self.sr




   def _lowerCAmelCase (self      :Optional[Any]       ,  _UpperCamelCase      :int					)->   List[Any]:
         __A			  =							librosa.feature.melspectrogram(
             y=self.get_audio_slice(__SCREAMING_SNAKE_CASE					)       ,  sr=self.sr       ,  n_fft=self.n_fft       ,  hop_length=self.hop_length       ,  n_mels=self.n_mels					)
         __A			  =							librosa.power_to_db(__SCREAMING_SNAKE_CASE       ,  ref=np.max       ,  top_db=self.top_db					)
         __A			  =							(((log_S + self.top_db) * 255 / self.top_db).clip(0       ,  255					) + 0.5).astype(np.uinta					)
         __A			  =							Image.fromarray(__SCREAMING_SNAKE_CASE					)
         return image






   def _lowerCAmelCase (self      :str       ,  _UpperCamelCase      :Image.Image					)->   Optional[int]:
         __A			  =							np.frombuffer(image.tobytes()       ,  dtype='''uint8'''					).reshape((image.height, image.width)					)
         __A			  =							bytedata.astype('''float'''					) * self.top_db / 255 - self.top_db
         __A			  =							librosa.db_to_power(__SCREAMING_SNAKE_CASE					)
         __A			  =							librosa.feature.inverse.mel_to_audio(
             __SCREAMING_SNAKE_CASE       ,  sr=self.sr       ,  n_fft=self.n_fft       ,  hop_length=self.hop_length       ,  n_iter=self.n_iter					)
         return audio






def  UpperCAmelCase__(    lowerCamelCase_ = 1000	):



			"""simple docstring"""





			return sum(i for i in range(lowerCamelCase_	) if i % 3 == 0 or i % 5 == 0	)


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

