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
  
     __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 							_A (    UpperCamelCase				,				UpperCamelCase							):
      """simple docstring"""
  
      lowerCamelCase  :       List[str]   =   'mel_config.json'
  
  
  
      @register_to_config
      def __init__(							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    int = 256   ,    __SCREAMING_SNAKE_CASE			:    int = 256   ,    __SCREAMING_SNAKE_CASE			:    int = 22050   ,    __SCREAMING_SNAKE_CASE			:    int = 2048   ,    __SCREAMING_SNAKE_CASE			:    int = 512   ,    __SCREAMING_SNAKE_CASE			:    int = 80   ,    __SCREAMING_SNAKE_CASE			:    int = 32   ,    )			->       Dict:
             __UpperCAmelCase    							=hop_length
             __UpperCAmelCase    							=sample_rate
             __UpperCAmelCase    							=n_fft
             __UpperCAmelCase    							=top_db
             __UpperCAmelCase    							=n_iter
             self.set_resolution(__SCREAMING_SNAKE_CASE   ,    __SCREAMING_SNAKE_CASE			)
             __UpperCAmelCase    							=None
  
             if not _librosa_can_be_imported:
                    raise ValueError(_import_error			)
  
  
  
      def _a       (							self			:    Optional[int]   ,    __SCREAMING_SNAKE_CASE			:    int   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       Any:
             __UpperCAmelCase    							=x_res
             __UpperCAmelCase    							=y_res
             __UpperCAmelCase    							=self.y_res
             __UpperCAmelCase    							=self.x_res * self.hop_length - 1
  
  
  
      def _a       (							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    str = None   ,    __SCREAMING_SNAKE_CASE			:    np.ndarray = None			)			->       Dict:
             if audio_file is not None:
                    __UpperCAmelCase							,   __UpperCAmelCase    							=librosa.load(__SCREAMING_SNAKE_CASE   ,    mono=__SCREAMING_SNAKE_CASE   ,    sr=self.sr			)
             else:
                    __UpperCAmelCase    							=raw_audio
  
             # Pad with silence if necessary.
             if len(self.audio			) < self.x_res * self.hop_length:
                    __UpperCAmelCase    							=np.concatenate([self.audio, np.zeros((self.x_res * self.hop_length - len(self.audio			),)			)]			)
  
  
  
      def _a       (							self			:    str			)			->       int:
             return len(self.audio			) // self.slice_size
  
  
  
      def _a       (							self			:    Optional[int]   ,    __SCREAMING_SNAKE_CASE			:    int = 0			)			->       np.ndarray:
             return self.audio[self.slice_size * slice : self.slice_size * (slice + 1)]
  
  
  
      def _a       (							self			:    Optional[int]			)			->       int:
             return self.sr
  
  
  
      def _a       (							self			:    str   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       Image.Image:
             __UpperCAmelCase    							=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			)
             __UpperCAmelCase    							=librosa.power_to_db(__SCREAMING_SNAKE_CASE   ,    ref=np.max   ,    top_db=self.top_db			)
             __UpperCAmelCase    							=(((log_S + self.top_db) * 255 / self.top_db).clip(0   ,    255			) + 0.5).astype(np.uinta			)
             __UpperCAmelCase    							=Image.fromarray(__SCREAMING_SNAKE_CASE			)
             return image
  
  
  
      def _a       (							self			:    Any   ,    __SCREAMING_SNAKE_CASE			:    Image.Image			)			->       np.ndarray:
             __UpperCAmelCase    							=np.frombuffer(image.tobytes()   ,    dtype="""uint8"""			).reshape((image.height, image.width)			)
             __UpperCAmelCase    							=bytedata.astype("""float"""			) * self.top_db / 255 - self.top_db
             __UpperCAmelCase    							=librosa.db_to_power(__SCREAMING_SNAKE_CASE			)
             __UpperCAmelCase    							=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: 
  
  
  
  
  
  
  from __future__ import annotations
  
  __A  							=  [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]
  
  
  
  class 							_A :
      """simple docstring"""
  
      def __init__(							self			:    List[str]   ,    __SCREAMING_SNAKE_CASE			:    int			)			->       None:
             __UpperCAmelCase    							=-1
             __UpperCAmelCase    							=-1
             __UpperCAmelCase    							=[-1] * length
             __UpperCAmelCase    							=None
             __UpperCAmelCase    							=None
  
  
  
      def __repr__(							self			:    Optional[int]			)			->       str:
             return f'''Node(min_value={self.minn} max_value={self.maxx})'''
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	list[int]		)  ->							Node | None:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         __UpperCAmelCase    							=Node(len(A_		)		)
         __UpperCAmelCase							,   __UpperCAmelCase    							=min(A_		), max(A_		)
         # Leaf node case where the node contains only one unique value
         if root.minn == root.maxx:
                return root
         __UpperCAmelCase    							=(root.minn + root.maxx) // 2
  
         __UpperCAmelCase    							=[]
         __UpperCAmelCase    							=[]
  
         for index, num in enumerate(A_		):
                if num <= pivot:
                       left_arr.append(A_		)
                else:
                       right_arr.append(A_		)
                __UpperCAmelCase    							=len(A_		)
         __UpperCAmelCase    							=build_tree(A_		)
         __UpperCAmelCase    							=build_tree(A_		)
         return root
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         if index < 0 or node is None:
                return 0
         # Leaf node cases
         if node.minn == node.maxx:
                return index + 1 if node.minn == num else 0
         __UpperCAmelCase    							=(node.minn + node.maxx) // 2
         if num <= pivot:
                # go the left subtree and map index to the left subtree
                return rank_till_index(node.left     ,			A_     ,			node.map_left[index] - 1		)
         else:
                # go to the right subtree and map index to the right subtree
                return rank_till_index(node.right     ,			A_     ,			index - node.map_left[index]		)
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         if start > end:
                return 0
         __UpperCAmelCase    							=rank_till_index(A_     ,			A_     ,			A_		)
         __UpperCAmelCase    							=rank_till_index(A_     ,			A_     ,			start - 1		)
         return rank_till_end - rank_before_start
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         if index > (end - start) or start > end or node is None:
                return -1
         # Leaf node case
         if node.minn == node.maxx:
                return node.minn
         # Number of elements in the left subtree in interval [start, end]
         __UpperCAmelCase    							=node.map_left[end] - (
             node.map_left[start - 1] if start else 0
         )
         if num_elements_in_left_tree > index:
                return quantile(
                    node.left     ,			A_     ,			(node.map_left[start - 1] if start else 0)     ,			node.map_left[end] - 1     ,			)
         else:
                return quantile(
                    node.right     ,			index - num_elements_in_left_tree     ,			start - (node.map_left[start - 1] if start else 0)     ,			end - node.map_left[end]     ,			)
  
  
  
  
  
  
  
  def 			lowercase__  (				A_:	Node | None     ,			A_:	int     ,			A_:	int     ,			A_:	int     ,			A_:	int		)  ->							int:
  
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
         if (
             start > end
             or node is None
             or start_num > end_num
             or node.minn > end_num
             or node.maxx < start_num
         ):
                return 0
         if start_num <= node.minn and node.maxx <= end_num:
                return end - start + 1
         __UpperCAmelCase    							=range_counting(
             node.left     ,			(node.map_left[start - 1] if start else 0)     ,			node.map_left[end] - 1     ,			A_     ,			A_     ,			)
         __UpperCAmelCase    							=range_counting(
             node.right     ,			start - (node.map_left[start - 1] if start else 0)     ,			end - node.map_left[end]     ,			A_     ,			A_     ,			)
         return left + right
  
  
  if __name__ == "__main__":
     import doctest
  
     doctest.testmod()
  
  
  
  
  