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_	,			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: 
  
  
  
  
  
  class 	UpperCamelCase_     :
  
  
  
  					def __init__(		self    :    List[Any]					,			lowerCamelCase    :    int	):
  							lowerCamelCase_  :    Union[str, Any]   	=			val
  							# Number of nodes in left subtree
  							lowerCamelCase_  :    Dict   	=			0
  							lowerCamelCase_  :    str   	=			None
  							lowerCamelCase_  :    int   	=			None
  							lowerCamelCase_  :    Dict   	=			None
  
  
  
  
  
  					def      __a    (		self    :    Optional[int]					,			lowerCamelCase    :    List[Any]	):
  							assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"
  
  							if self.val < other.val:
  									lowerCamelCase_  :    int   	=			self.right
  									lowerCamelCase_  :    Any   	=			None
  									if self.right:
  											lowerCamelCase_  :    Optional[Any]   	=			other
  									lowerCamelCase_  :    Union[str, Any]   	=			other
  									lowerCamelCase_  :    List[Any]   	=			self.left_tree_size * 2 + 1
  									return self
  							else:
  									lowerCamelCase_  :    str   	=			other.right
  									lowerCamelCase_  :    List[Any]   	=			None
  									if other.right:
  											lowerCamelCase_  :    Union[str, Any]   	=			self
  									lowerCamelCase_  :    Optional[int]   	=			self
  									lowerCamelCase_  :    Optional[int]   	=			other.left_tree_size * 2 + 1
  									return other
  
  
  
  
  
  
  class 	UpperCamelCase_     :
  
  
  
  					def __init__(		self    :    List[str]					,			lowerCamelCase    :    Optional[int]=None					,			lowerCamelCase    :    str=None					,			lowerCamelCase    :    List[Any]=0	):
  							lowerCamelCase_  :    Any   	=			heap_size
  							lowerCamelCase_  :    int   	=			bottom_root
  							lowerCamelCase_  :    Any   	=			min_node
  
  
  
  					def      __a    (		self    :    int					,			lowerCamelCase    :    int	):
  
  							# Empty heaps corner cases
  							if other.size == 0:
  									return None
  							if self.size == 0:
  									lowerCamelCase_  :    List[str]   	=			other.size
  									lowerCamelCase_  :    Tuple   	=			other.bottom_root
  									lowerCamelCase_  :    Tuple   	=			other.min_node
  									return None
  							# Update size
  							lowerCamelCase_  :    Optional[Any]   	=			self.size + other.size
  
  							# Update min.node
  							if self.min_node.val > other.min_node.val:
  									lowerCamelCase_  :    Optional[Any]   	=			other.min_node
  							# Merge
  
  							# Order roots by left_subtree_size
  							lowerCamelCase_  :    Dict   	=			[]
  							lowerCamelCase_	,			lowerCamelCase_  :    Optional[Any]   	=			self.bottom_root, other.bottom_root
  							while i or j:
  									if i and ((not j) or i.left_tree_size < j.left_tree_size):
  											combined_roots_list.append((i, True)	)
  											lowerCamelCase_  :    Tuple   	=			i.parent
  									else:
  											combined_roots_list.append((j, False)	)
  											lowerCamelCase_  :    Optional[Any]   	=			j.parent
          # Insert links between them
  							for i in range(len(lowerCamelCase	) - 1	):
  									if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
  											lowerCamelCase_  :    Dict   	=			combined_roots_list[i + 1][0]
  											lowerCamelCase_  :    Optional[int]   	=			combined_roots_list[i][0]
          # Consecutively merge roots with same left_tree_size
  							lowerCamelCase_  :    Any   	=			combined_roots_list[0][0]
  							while i.parent:
  									if (
  									    (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
  									) or (
  									    i.left_tree_size == i.parent.left_tree_size
  									    and i.left_tree_size != i.parent.parent.left_tree_size
  									):
  											# Neighbouring Nodes
  											lowerCamelCase_  :    Dict   	=			i.left
  											lowerCamelCase_  :    int   	=			i.parent.parent
  
  											# Merging trees
  											lowerCamelCase_  :    str   	=			i.merge_trees(i.parent	)
  
  											# Updating links
  											lowerCamelCase_  :    Union[str, Any]   	=			previous_node
  											lowerCamelCase_  :    List[Any]   	=			next_node
  											if previous_node:
  													lowerCamelCase_  :    List[str]   	=			i
  											if next_node:
  													lowerCamelCase_  :    Dict   	=			i
  									else:
  											lowerCamelCase_  :    List[str]   	=			i.parent
          # Updating self.bottom_root
  							while i.left:
  									lowerCamelCase_  :    Union[str, Any]   	=			i.left
  							lowerCamelCase_  :    Any   	=			i
  
  							# Update other
  							lowerCamelCase_  :    Optional[int]   	=			self.size
  							lowerCamelCase_  :    Optional[Any]   	=			self.bottom_root
  							lowerCamelCase_  :    str   	=			self.min_node
  
  							# Return the merged heap
  							return self
  
  
  
  					def      __a    (		self    :    Any					,			lowerCamelCase    :    Dict	):
  							if self.size == 0:
  									lowerCamelCase_  :    Tuple   	=			Node(lowerCamelCase	)
  									lowerCamelCase_  :    Optional[int]   	=			1
  									lowerCamelCase_  :    Optional[int]   	=			self.bottom_root
  							else:
  									# Create new node
  									lowerCamelCase_  :    List[Any]   	=			Node(lowerCamelCase	)
  
  									# Update size
  									self.size += 1
  
  									# update min_node
  									if val < self.min_node.val:
  											lowerCamelCase_  :    List[str]   	=			new_node
  									# Put new_node as a bottom_root in heap
  									lowerCamelCase_  :    int   	=			new_node
  									lowerCamelCase_  :    Tuple   	=			self.bottom_root
  									lowerCamelCase_  :    Any   	=			new_node
  
  									# Consecutively merge roots with same left_tree_size
  									while (
  									    self.bottom_root.parent
  									    and self.bottom_root.left_tree_size
  									    == self.bottom_root.parent.left_tree_size
  									):
  											# Next node
  											lowerCamelCase_  :    Any   	=			self.bottom_root.parent.parent
  
  											# Merge
  											lowerCamelCase_  :    int   	=			self.bottom_root.merge_trees(self.bottom_root.parent	)
  
  											# Update Links
  											lowerCamelCase_  :    Dict   	=			next_node
  											lowerCamelCase_  :    Optional[Any]   	=			None
  											if next_node:
  													lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root
  
  
  
  					def      __a    (		self    :    Dict	):
  							return self.min_node.val
  
  
  
  					def      __a    (		self    :    int	):
  							return self.size == 0
  
  
  
  					def      __a    (		self    :    List[Any]	):
  							lowerCamelCase_  :    Tuple   	=			self.min_node.val
  
  							# Last element in heap corner case
  							if self.size == 1:
  									# Update size
  									lowerCamelCase_  :    Optional[Any]   	=			0
  
  									# Update bottom root
  									lowerCamelCase_  :    Any   	=			None
  
  									# Update min_node
  									lowerCamelCase_  :    List[str]   	=			None
  
  									return min_value
  							# No right subtree corner case
  							# The structure of the tree implies that this should be the bottom root
  							# and there is at least one other root
  							if self.min_node.right is None:
  									# Update size
  									self.size -= 1
  
  									# Update bottom root
  									lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root.parent
  									lowerCamelCase_  :    Union[str, Any]   	=			None
  
  									# Update min_node
  									lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root
  									lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root.parent
  									while i:
  											if i.val < self.min_node.val:
  													lowerCamelCase_  :    Union[str, Any]   	=			i
  											lowerCamelCase_  :    Optional[int]   	=			i.parent
  									return min_value
  							# General case
  							# Find the BinomialHeap of the right subtree of min_node
  							lowerCamelCase_  :    Dict   	=			self.min_node.right
  							lowerCamelCase_  :    Dict   	=			None
  							lowerCamelCase_  :    Tuple   	=			bottom_of_new
  							lowerCamelCase_  :    Dict   	=			1
  
  							# Size, min_node and bottom_root
  							while bottom_of_new.left:
  									lowerCamelCase_  :    Any   	=			size_of_new * 2 + 1
  									lowerCamelCase_  :    Tuple   	=			bottom_of_new.left
  									if bottom_of_new.val < min_of_new.val:
  											lowerCamelCase_  :    int   	=			bottom_of_new
          # Corner case of single root on top left path
  							if (not self.min_node.left) and (not self.min_node.parent):
  									lowerCamelCase_  :    Union[str, Any]   	=			size_of_new
  									lowerCamelCase_  :    Union[str, Any]   	=			bottom_of_new
  									lowerCamelCase_  :    Tuple   	=			min_of_new
  									# print("Single root, multiple nodes case")
  									return min_value
  							# Remaining cases
  							# Construct heap of right subtree
  							lowerCamelCase_  :    Optional[Any]   	=			BinomialHeap(
  							    bottom_root=lowerCamelCase					,			min_node=lowerCamelCase					,			heap_size=lowerCamelCase	)
  
  							# Update size
  							lowerCamelCase_  :    Union[str, Any]   	=			self.size - 1 - size_of_new
  
  							# Neighbour nodes
  							lowerCamelCase_  :    Union[str, Any]   	=			self.min_node.left
  							lowerCamelCase_  :    Optional[Any]   	=			self.min_node.parent
  
  							# Initialize new bottom_root and min_node
  							lowerCamelCase_  :    Optional[int]   	=			previous_node or next_node
  							lowerCamelCase_  :    Tuple   	=			next_node
  
  							# Update links of previous_node and search below for new min_node and
  							# bottom_root
  							if previous_node:
  									lowerCamelCase_  :    Dict   	=			next_node
  
  									# Update bottom_root and search for min_node below
  									lowerCamelCase_  :    int   	=			previous_node
  									lowerCamelCase_  :    Tuple   	=			previous_node
  									while self.bottom_root.left:
  											lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root.left
  											if self.bottom_root.val < self.min_node.val:
  													lowerCamelCase_  :    Any   	=			self.bottom_root
  							if next_node:
  									lowerCamelCase_  :    Any   	=			previous_node
  
  									# Search for new min_node above min_node
  									lowerCamelCase_  :    List[str]   	=			next_node
  									while i:
  											if i.val < self.min_node.val:
  													lowerCamelCase_  :    List[Any]   	=			i
  											lowerCamelCase_  :    Dict   	=			i.parent
          # Merge heaps
  							self.merge_heaps(lowerCamelCase	)
  
  							return min_value
  
  
  
  					def      __a    (		self    :    Optional[int]	):
  							lowerCamelCase_  :    List[Any]   	=			self.bottom_root
  							while top_root.parent:
  									lowerCamelCase_  :    Tuple   	=			top_root.parent
  							# preorder
  							lowerCamelCase_  :    str   	=			[]
  							self.__traversal(lowerCamelCase					,			lowerCamelCase	)
  							return heap_pre_order
  
  
  
  					def      __a    (		self    :    Dict					,			lowerCamelCase    :    Tuple					,			lowerCamelCase    :    Dict					,			lowerCamelCase    :    List[str]=0	):
  							if curr_node:
  									preorder.append((curr_node.val, level)	)
  									self.__traversal(curr_node.left					,			lowerCamelCase					,			level + 1	)
  									self.__traversal(curr_node.right					,			lowerCamelCase					,			level + 1	)
  							else:
  									preorder.append(('#', level)	)
  
  
  
  
  
  					def __str__(		self    :    List[Any]	):
  							if self.is_empty():
  									return ""
  							lowerCamelCase_  :    str   	=			self.pre_order()
  
  							return "\n".join(('-' * level + str(lowerCamelCase	)) for value, level in preorder_heap	)
  
  
  # Unit Tests
  if __name__ == "__main__":
  		import doctest
  
  		doctest.testmod()
  