code: 
  
  
  
  
  
  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
  
  		_lowercase		:     List[str]     					=True
  		_lowercase		:     Tuple     					=""""""
  except Exception as e:
  		_lowercase		:     Dict     					=False
  		_lowercase		:     List[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 	UpperCamelCase_     (     snake_case__     ,    snake_case__       ):
  					_a			:	Any							=				'mel_config.json'
  
  
  
  					@register_to_config
  					def __init__(		self    :    List[Any]					,			lowerCamelCase    :    int = 2_56					,			lowerCamelCase    :    int = 2_56					,			lowerCamelCase    :    int = 2_20_50					,			lowerCamelCase    :    int = 20_48					,			lowerCamelCase    :    int = 5_12					,			lowerCamelCase    :    int = 80					,			lowerCamelCase    :    int = 32					,			):
  							lowerCamelCase_  :    int   	=			hop_length
  							lowerCamelCase_  :    str   	=			sample_rate
  							lowerCamelCase_  :    Dict   	=			n_fft
  							lowerCamelCase_  :    Dict   	=			top_db
  							lowerCamelCase_  :    Optional[int]   	=			n_iter
  							self.set_resolution(lowerCamelCase					,			lowerCamelCase	)
  							lowerCamelCase_  :    Union[str, Any]   	=			None
  
  							if not _librosa_can_be_imported:
  									raise ValueError(_import_error	)
  
  
  
  					def      __a    (		self    :    int					,			lowerCamelCase    :    int					,			lowerCamelCase    :    int	):
  							lowerCamelCase_  :    Optional[Any]   	=			x_res
  							lowerCamelCase_  :    Union[str, Any]   	=			y_res
  							lowerCamelCase_  :    Any   	=			self.y_res
  							lowerCamelCase_  :    List[str]   	=			self.x_res * self.hop_length - 1
  
  
  
  					def      __a    (		self    :    Any					,			lowerCamelCase    :    str = None					,			lowerCamelCase    :    np.ndarray = None	):
  							if audio_file is not None:
  									lowerCamelCase_  :    Dict   	=			librosa.load(lowerCamelCase					,			mono=lowerCamelCase					,			sr=self.sr	)
  							else:
  									lowerCamelCase_  :    List[str]   	=			raw_audio
  
  							# Pad with silence if necessary.
  							if len(self.audio	) < self.x_res * self.hop_length:
  									lowerCamelCase_  :    Optional[Any]   	=			np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio	),)	)]	)
  
  
  
  					def      __a    (		self    :    int	):
  							return len(self.audio	) // self.slice_size
  
  
  
  					def      __a    (		self    :    Optional[Any]					,			lowerCamelCase    :    int = 0	):
  							return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]
  
  
  
  					def      __a    (		self    :    List[Any]	):
  							return self.sr
  
  
  
  					def      __a    (		self    :    Union[str, Any]					,			lowerCamelCase    :    int	):
  							lowerCamelCase_  :    int   	=			librosa.feature.melspectrogram(
  							    y=self.get_audio_slice(lowerCamelCase	)					,			sr=self.sr					,			n_fft=self.n_fft					,			hop_length=self.hop_length					,			n_mels=self.n_mels	)
  							lowerCamelCase_  :    int   	=			librosa.power_to_db(lowerCamelCase					,			ref=np.max					,			top_db=self.top_db	)
  							lowerCamelCase_  :    Tuple   	=			(((log_S + self.top_db) * 2_55 / self.top_db).clip(0					,			2_55	) + 0.5).astype(np.uinta	)
  							lowerCamelCase_  :    List[Any]   	=			Image.fromarray(lowerCamelCase	)
  							return image
  
  
  
  
  
  					def      __a    (		self    :    Dict					,			lowerCamelCase    :    Image.Image	):
  							lowerCamelCase_  :    int   	=			np.frombuffer(image.tobytes()					,			dtype='uint8'	).reshape((image.height, image.width)	)
  							lowerCamelCase_  :    int   	=			bytedata.astype('float'	) * self.top_db / 2_55 - self.top_db
  							lowerCamelCase_  :    Optional[int]   	=			librosa.db_to_power(lowerCamelCase	)
  							lowerCamelCase_  :    str   	=			librosa.feature.inverse.mel_to_audio(
  							    lowerCamelCase					,			sr=self.sr					,			n_fft=self.n_fft					,			hop_length=self.hop_length					,			n_iter=self.n_iter	)
  							return audio
  
style_context: 
  
  
  
  
  
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,lowerCAmelCase__	):
  		return (input_a, input_a).count(0	) % 2
  
  
  def 		_SCREAMING_SNAKE_CASE    (   ):
  		assert xor_gate(0       ,0	) == 0
  		assert xor_gate(0       ,1	) == 1
  		assert xor_gate(1       ,0	) == 1
  		assert xor_gate(1       ,1	) == 0
  
  
  if __name__ == "__main__":
  		print(xor_gate(0, 0))
  		print(xor_gate(0, 1))
  