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
  
  							__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 			lowerCamelCase__    (  snake_case__				,  snake_case__			):
  			a__ :      Any								=     'mel_config.json'
  
  
  			@register_to_config
  			def __init__(     self				, SCREAMING_SNAKE_CASE = 256				, SCREAMING_SNAKE_CASE = 256				, SCREAMING_SNAKE_CASE = 22_050				, SCREAMING_SNAKE_CASE = 2_048				, SCREAMING_SNAKE_CASE = 512				, SCREAMING_SNAKE_CASE = 80				, SCREAMING_SNAKE_CASE = 32				, ):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						int								=				hop_length
  					snake_case		:						str								=				sample_rate
  					snake_case		:						Dict								=				n_fft
  					snake_case		:						Dict								=				top_db
  					snake_case		:						Optional[int]								=				n_iter
  					self.set_resolution(SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE							)
  					snake_case		:						Union[str, Any]								=				None
  
  					if not _librosa_can_be_imported:
  							raise ValueError(_import_error							)
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						Optional[Any]								=				x_res
  					snake_case		:						Union[str, Any]								=				y_res
  					snake_case		:						Any								=				self.y_res
  					snake_case		:						List[str]								=				self.x_res * self.hop_length - 1
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE = None				, SCREAMING_SNAKE_CASE = None							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					if audio_file is not None:
  							snake_case		:						Dict								=				librosa.load(SCREAMING_SNAKE_CASE				, mono=SCREAMING_SNAKE_CASE				, sr=self.sr							)
  					else:
  							snake_case		:						List[str]								=				raw_audio
  
  					# Pad with silence if necessary.
  					if len(self.audio							) < self.x_res * self.hop_length:
  							snake_case		:						Optional[Any]								=				np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio							),)							)]							)
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					return len(self.audio							) // self.slice_size
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE = 0							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]
  
  
  			def 							lowerCamelCase_				(     self							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					return self.sr
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						int								=				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							)
  					snake_case		:						int								=				librosa.power_to_db(SCREAMING_SNAKE_CASE				, ref=np.max				, top_db=self.top_db							)
  					snake_case		:						Tuple								=				(((log_S + self.top_db) * 255 / self.top_db).clip(0				, 255							) + 0.5).astype(np.uinta							)
  					snake_case		:						List[Any]								=				Image.fromarray(SCREAMING_SNAKE_CASE							)
  					return image
  
  
  
  			def 							lowerCamelCase_				(     self				, SCREAMING_SNAKE_CASE							):
  
  
  
  					"""simple docstring"""
  
  
  
  
  
  
  
  					snake_case		:						int								=				np.frombuffer(image.tobytes()				, dtype="uint8"							).reshape((image.height, image.width)							)
  					snake_case		:						int								=				bytedata.astype("float"							) * self.top_db / 255 - self.top_db
  					snake_case		:						Optional[int]								=				librosa.db_to_power(SCREAMING_SNAKE_CASE							)
  					snake_case		:						str								=				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
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  def   UpperCamelCase__     (		lowercase__  :     int   ):
  		if not isinstance(lowercase__       ,     lowercase__   ):
  				snake_case		:						Optional[Any]								=				F'''Input value of [number={number}] must be an integer'''
  				raise TypeError(lowercase__   )
  		if number < 0 or number % 2 == 1:
  				return False
  		snake_case		:						str								=				int(number**0.5   )
  		return number == number_sqrt * (number_sqrt + 1)
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod()
  
  