code: 
  
  
  '''simple docstring'''
  
  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
  
  							lowerCAmelCase   :Any								=    True
  							lowerCAmelCase   :Tuple								=    ''''''
  except Exception as e:
  							lowerCAmelCase   :Tuple								=    False
  							lowerCAmelCase   :str								=    (
  							    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 _lowerCamelCase (		lowercase__	,  lowercase__							):
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		A_			:    str   					=       """mel_config.json"""
  
  
  
  
  
  
  
  		@register_to_config
  		def __init__(      self	:		Union[str, Any]						,  _A	:		int = 256						,  _A	:		int = 256						,  _A	:		int = 22050						,  _A	:		int = 2048						,  _A	:		int = 512						,  _A	:		int = 80						,  _A	:		int = 32						,  )						->				Any:
  			__magic_name__ :					Optional[int]  			=  hop_length
  			__magic_name__ :					List[Any]  			=  sample_rate
  			__magic_name__ :					Optional[Any]  			=  n_fft
  			__magic_name__ :					Dict  			=  top_db
  			__magic_name__ :					List[str]  			=  n_iter
  			self.set_resolution(_A						,  _A    )
  			__magic_name__ :					Tuple  			=  None
  
  			if not _librosa_can_be_imported:
  				raise ValueError(_import_error    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Optional[Any]						,  _A	:		int						,  _A	:		int    )						->				Tuple:
  			__magic_name__ :					Dict  			=  x_res
  			__magic_name__ :					int  			=  y_res
  			__magic_name__ :					Tuple  			=  self.y_res
  			__magic_name__ :					Dict  			=  self.x_res * self.hop_length - 1
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[str]						,  _A	:		str = None						,  _A	:		np.ndarray = None    )						->				Optional[int]:
  			if audio_file is not None:
  				__magic_name__ :					List[str]  			=  librosa.load(_A						,  mono=_A						,  sr=self.sr    )
  			else:
  				__magic_name__ :					Union[str, Any]  			=  raw_audio
  
  			# Pad with silence if necessary.
  			if len(self.audio    ) < self.x_res * self.hop_length:
  				__magic_name__ :					Any  			=  np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio    ),)    )]    )
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]    )						->				int:
  			return len(self.audio    ) // self.slice_size
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Optional[Any]						,  _A	:		int = 0    )						->				np.ndarray:
  			return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		int    )						->				int:
  			return self.sr
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		Dict						,  _A	:		int    )						->				Image.Image:
  			__magic_name__ :					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    )
  			__magic_name__ :					Tuple  			=  librosa.power_to_db(_A						,  ref=np.max						,  top_db=self.top_db    )
  			__magic_name__ :					List[Any]  			=  (((log_S + self.top_db) * 255 / self.top_db).clip(0						,  255    ) + 0.5).astype(np.uinta    )
  			__magic_name__ :					Union[str, Any]  			=  Image.fromarray(_A    )
  			return image
  
  
  
  
  
  
  
  		def      __lowerCAmelCase	(      self	:		List[Any]						,  _A	:		Image.Image    )						->				np.ndarray:
  			__magic_name__ :					List[str]  			=  np.frombuffer(image.tobytes()						,  dtype='uint8'    ).reshape((image.height, image.width)    )
  			__magic_name__ :					Optional[Any]  			=  bytedata.astype('float'    ) * self.top_db / 255 - self.top_db
  			__magic_name__ :					Optional[int]  			=  librosa.db_to_power(_A    )
  			__magic_name__ :					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
style_context: 
  
  
  '''simple docstring'''
  
  import math
  
  
  
  
  
  def lowerCamelCase    (    lowerCAmelCase       :			int	):
  
  
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	if not isinstance(lowerCAmelCase	,	lowerCAmelCase	):
  		__magic_name__ :					str  			=  f'Input value of [number={number}] must be an integer'
  		raise TypeError(lowerCAmelCase	)
  	if number < 1:
  		__magic_name__ :					Tuple  			=  f'Input value of [number={number}] must be a positive integer'
  		raise ValueError(lowerCAmelCase	)
  	__magic_name__ :					Tuple  			=  [number]
  	while number != 1:
  		if number % 2 == 0:
  			__magic_name__ :					Optional[int]  			=  math.floor(math.sqrt(lowerCAmelCase	)	)
  		else:
  			__magic_name__ :					Union[str, Any]  			=  math.floor(
  			    math.sqrt(lowerCAmelCase	) * math.sqrt(lowerCAmelCase	) * math.sqrt(lowerCAmelCase	)	)
  		sequence.append(lowerCAmelCase	)
  	return sequence
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod()