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
  
   lowerCAmelCase					 =	True
   lowerCAmelCase					 =	''''''
  except Exception as e:
   lowerCAmelCase					 =	False
   lowerCAmelCase					 =	(
       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					(     A__      ,       A__				):
         UpperCamelCase_     :							Optional[Any] ='''mel_config.json'''
  
  
         @register_to_config
         def __init__(self   ,       lowerCAmelCase = 2_5_6   ,       lowerCAmelCase = 2_5_6   ,       lowerCAmelCase = 2_2_0_5_0   ,       lowerCAmelCase = 2_0_4_8   ,       lowerCAmelCase = 5_1_2   ,       lowerCAmelCase = 8_0   ,       lowerCAmelCase = 3_2   ,       ):
           __lowercase=    hop_length
           __lowercase=    sample_rate
           __lowercase=    n_fft
           __lowercase=    top_db
           __lowercase=    n_iter
           self.set_resolution(lowerCAmelCase   ,       lowerCAmelCase      )
           __lowercase=    None
  
           if not _librosa_can_be_imported:
             raise ValueError(_import_error      )
  
  
         def     _A (self   ,       lowerCAmelCase   ,       lowerCAmelCase      ):
           __lowercase=    x_res
           __lowercase=    y_res
           __lowercase=    self.y_res
           __lowercase=    self.x_res * self.hop_length - 1
  
  
         def     _A (self   ,       lowerCAmelCase = None   ,       lowerCAmelCase = None      ):
  
  
  
  
  
  
           if audio_file is not None:
             __lowercase=    librosa.load(lowerCAmelCase   ,       mono=lowerCAmelCase   ,       sr=self.sr      )
           else:
             __lowercase=    raw_audio
  
           # Pad with silence if necessary.
           if len(self.audio      ) < self.x_res * self.hop_length:
             __lowercase=    np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio      ),)      )]      )
  
  
         def     _A (self      ):
           return len(self.audio      ) // self.slice_size
  
  
         def     _A (self   ,       lowerCAmelCase = 0      ):
           return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]
  
  
         def     _A (self      ):
           return self.sr
  
  
         def     _A (self   ,       lowerCAmelCase      ):
           __lowercase=    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      )
           __lowercase=    librosa.power_to_db(lowerCAmelCase   ,       ref=np.max   ,       top_db=self.top_db      )
           __lowercase=    (((log_S + self.top_db) * 2_5_5 / self.top_db).clip(0   ,       2_5_5      ) + 0.5).astype(np.uinta      )
           __lowercase=    Image.fromarray(lowerCAmelCase      )
           return image
  
  
  
  
  
  
  
         def     _A (self   ,       lowerCAmelCase      ):
           __lowercase=    np.frombuffer(image.tobytes()   ,       dtype='uint8'      ).reshape((image.height, image.width)      )
           __lowercase=    bytedata.astype('float'      ) * self.top_db / 2_5_5 - self.top_db
           __lowercase=    librosa.db_to_power(lowerCAmelCase      )
           __lowercase=    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  _lowerCamelCase(			lowercase__			)		->			str:
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		if len(lowercase__			) == 0 or not all(len(lowercase__			) == 2 for pair in coordinates			):
  				raise ValueError('The program cannot work out a fitting polynomial.'			)
  
  		if len({tuple(lowercase__			) for pair in coordinates}			) != len(lowercase__			):
  				raise ValueError('The program cannot work out a fitting polynomial.'			)
  
  		__lowercase=    {x for x, _ in coordinates}
  		if len(lowercase__			) == 1:
  				return F'x={coordinates[0][0]}'
  
  		if len(lowercase__			) != len(lowercase__			):
  				raise ValueError('The program cannot work out a fitting polynomial.'			)
  
  		__lowercase=    len(lowercase__			)
  
  		__lowercase=    0
  		__lowercase=    []
  		# put the x and x to the power values in a matrix
  		while count_of_line < x:
  				__lowercase=    0
  				__lowercase=    coordinates[count_of_line][0]
  				__lowercase=    []
  				while count_in_line < x:
  						count_line.append(a ** (x - (count_in_line + 1))			)
  						count_in_line += 1
  				matrix.append(lowercase__			)
  				count_of_line += 1
  
  		__lowercase=    0
  		# put the y values into a vector
  		__lowercase=    []
  		while count_of_line < x:
  				vector.append(coordinates[count_of_line][1]			)
  				count_of_line += 1
  
  		__lowercase=    0
  
  		while count < x:
  				__lowercase=    0
  				while zahlen < x:
  						if count == zahlen:
  								zahlen += 1
  						if zahlen == x:
  								break
  						__lowercase=    matrix[zahlen][count] / matrix[count][count]
  						for counting_columns, item in enumerate(matrix[count]			):
  								# manipulating all the values in the matrix
  								matrix[zahlen][counting_columns] -= item * bruch
  						# manipulating the values in the vector
  						vector[zahlen] -= vector[count] * bruch
  						zahlen += 1
  				count += 1
  
  		__lowercase=    0
  		# make solutions
  		__lowercase=    []
  		while count < x:
  				solution.append(str(vector[count] / matrix[count][count]			)			)
  				count += 1
  
  		__lowercase=    0
  		__lowercase=    'f(x)='
  
  		while count < x:
  				__lowercase=    solution[count].split('E'			)
  				if len(lowercase__			) > 1:
  						__lowercase=    F'{remove_e[0]}*10^{remove_e[1]}'
  				solved += F'x^{x - (count + 1)}*{solution[count]}'
  				if count + 1 != x:
  						solved += "+"
  				count += 1
  
  		return solved
  
  
  if __name__ == "__main__":
  	print(points_to_polynomial([]))
  	print(points_to_polynomial([[]]))
  	print(points_to_polynomial([[1, 0], [2, 0], [3, 0]]))
  	print(points_to_polynomial([[1, 1], [2, 1], [3, 1]]))
  	print(points_to_polynomial([[1, 3], [2, 3], [3, 3]]))
  	print(points_to_polynomial([[1, 1], [2, 2], [3, 3]]))
  	print(points_to_polynomial([[1, 1], [2, 4], [3, 9]]))
  	print(points_to_polynomial([[1, 3], [2, 6], [3, 1_1]]))
  	print(points_to_polynomial([[1, -3], [2, -6], [3, -1_1]]))
  	print(points_to_polynomial([[1, 5], [2, 2], [3, 9]]))
  
  
  
  
  
  
  