






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

 a    =       True
 a    =       ''''''
except Exception as e:
 a    =       False
 a    =       (
     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        __snake_case(					lowercase__     ,       lowercase__      ):
 lowercase :       str		      =		"""mel_config.json"""



 @register_to_config
 def __init__(	self   :   Union[str, Any] ,		UpperCAmelCase__   :   int = 256 ,		UpperCAmelCase__   :   int = 256 ,		UpperCAmelCase__   :   int = 22_050 ,		UpperCAmelCase__   :   int = 2_048 ,		UpperCAmelCase__   :   int = 512 ,		UpperCAmelCase__   :   int = 80 ,		UpperCAmelCase__   :   int = 32 ,		):

    """simple docstring"""






    lowercase__						:	Optional[int]         = hop_length
    lowercase__						:	List[Any]         = sample_rate
    lowercase__						:	Optional[Any]         = n_fft
    lowercase__						:	Dict         = top_db
    lowercase__						:	List[str]         = n_iter
    self.set_resolution(_A ,		_A	)
    lowercase__						:	Tuple         = None

    if not _librosa_can_be_imported:
       raise ValueError(_import_error	)



 def 						__UpperCAmelCase    (	self   :   Optional[Any] ,		UpperCAmelCase__   :   int ,		UpperCAmelCase__   :   int	):

    """simple docstring"""






    lowercase__						:	Dict         = x_res
    lowercase__						:	int         = y_res
    lowercase__						:	Tuple         = self.y_res
    lowercase__						:	Dict         = self.x_res * self.hop_length - 1



 def 						__UpperCAmelCase    (	self   :   List[str] ,		UpperCAmelCase__   :   str = None ,		UpperCAmelCase__   :   np.ndarray = None	):

    """simple docstring"""






    if audio_file is not None:
       lowercase__						:	List[str]         = librosa.load(_A ,		mono=_A ,		sr=self.sr	)
    else:
       lowercase__						:	Union[str, Any]         = raw_audio

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



 def 						__UpperCAmelCase    (	self   :   List[Any]	):

    """simple docstring"""






    return len(self.audio	) // self.slice_size



 def 						__UpperCAmelCase    (	self   :   Optional[Any] ,		UpperCAmelCase__   :   int = 0	):

    """simple docstring"""






    return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]



 def 						__UpperCAmelCase    (	self   :   int	):

    """simple docstring"""






    return self.sr



 def 						__UpperCAmelCase    (	self   :   Dict ,		UpperCAmelCase__   :   int	):

    """simple docstring"""






    lowercase__						:	Optional[Any]         = librosa.feature.melspectrogram(
        y=self.get_audio_slice(_A	) ,		sr=self.sr ,		n_fft=self.n_fft ,		hop_length=self.hop_length ,		n_mels=self.n_mels	)
    lowercase__						:	Tuple         = librosa.power_to_db(_A ,		ref=np.max ,		top_db=self.top_db	)
    lowercase__						:	List[Any]         = (((log_S + self.top_db) * 255 / self.top_db).clip(0 ,		255	) + 0.5).astype(np.uinta	)
    lowercase__						:	Union[str, Any]         = Image.fromarray(_A	)
    return image







 def 						__UpperCAmelCase    (	self   :   List[Any] ,		UpperCAmelCase__   :   Image.Image	):

    """simple docstring"""






    lowercase__						:	List[str]         = np.frombuffer(image.tobytes() ,		dtype="""uint8"""	).reshape((image.height, image.width)	)
    lowercase__						:	Optional[Any]         = bytedata.astype("""float"""	) * self.top_db / 255 - self.top_db
    lowercase__						:	Optional[int]         = librosa.db_to_power(_A	)
    lowercase__						:	Union[str, Any]         = librosa.feature.inverse.mel_to_audio(
        _A ,		sr=self.sr ,		n_fft=self.n_fft ,		hop_length=self.hop_length ,		n_iter=self.n_iter	)
    return audio










def       a__						(  A					):

   if not isinstance(A		,				A					) or number < 0:
      raise ValueError("""Input must be a non-negative integer"""					)

   lowercase__						:	str         = number & ~(number - 1)
   lowercase__						:	Optional[int]         = 0
   while intermediate:
      intermediate >>= 1
      index += 1
   return index - 1


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)


