code: 
  import functools
  import operator
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __lowerCAmelCase				      =					logging.get_logger(__name__)
  
  __lowerCAmelCase				      =					{
      'facebook/hubert-base-ls960': 'https://huggingface.co/facebook/hubert-base-ls960/resolve/main/config.json',
      # See all Hubert models at https://huggingface.co/models?filter=hubert
  }
  
  
  
  
  
  class 						lowerCamelCase			(					__lowerCamelCase				):
  	UpperCamelCase_     :				int								=  'hubert'
  
  
  
  
  
  
  
  	def __init__(    self			:Union[str, Any]      ,    lowercase			:int=3_2      ,    lowercase			:List[Any]=7_6_8      ,    lowercase			:int=1_2      ,    lowercase			:int=1_2      ,    lowercase			:Optional[int]=3_0_7_2      ,    lowercase			:Optional[Any]="gelu"      ,    lowercase			:Any=0.1      ,    lowercase			:Union[str, Any]=0.1      ,    lowercase			:int=0.1      ,    lowercase			:Union[str, Any]=True      ,    lowercase			:List[str]=0.0      ,    lowercase			:Dict=0.1      ,    lowercase			:Optional[Any]=0.1      ,    lowercase			:Optional[int]=0.02      ,    lowercase			:Union[str, Any]=1e-5      ,    lowercase			:str="group"      ,    lowercase			:List[Any]="gelu"      ,    lowercase			:Tuple=(5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2)      ,    lowercase			:Union[str, Any]=(5, 2, 2, 2, 2, 2, 2)      ,    lowercase			:List[Any]=(1_0, 3, 3, 3, 3, 2, 2)      ,    lowercase			:int=False      ,    lowercase			:Optional[Any]=1_2_8      ,    lowercase			:int=1_6      ,    lowercase			:Union[str, Any]=False      ,    lowercase			:Optional[int]=True      ,    lowercase			:List[str]=0.05      ,    lowercase			:Tuple=1_0      ,    lowercase			:Tuple=2      ,    lowercase			:int=0.0      ,    lowercase			:int=1_0      ,    lowercase			:Optional[Any]=0      ,    lowercase			:Tuple="sum"      ,    lowercase			:Any=False      ,    lowercase			:Optional[int]=False      ,    lowercase			:str=2_5_6      ,    lowercase			:Optional[int]=0      ,    lowercase			:List[Any]=1      ,    lowercase			:int=2      ,    **lowercase			:Union[str, Any]      ,    )		->			Dict:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				super().__init__(**lowercase      ,    pad_token_id=lowercase      ,    bos_token_id=lowercase      ,    eos_token_id=lowercase )
  				SCREAMING_SNAKE_CASE    	=   hidden_size
  				SCREAMING_SNAKE_CASE    	=   feat_extract_norm
  				SCREAMING_SNAKE_CASE    	=   feat_extract_activation
  				SCREAMING_SNAKE_CASE    	=   list(lowercase )
  				SCREAMING_SNAKE_CASE    	=   list(lowercase )
  				SCREAMING_SNAKE_CASE    	=   list(lowercase )
  				SCREAMING_SNAKE_CASE    	=   conv_bias
  				SCREAMING_SNAKE_CASE    	=   num_conv_pos_embeddings
  				SCREAMING_SNAKE_CASE    	=   num_conv_pos_embedding_groups
  				SCREAMING_SNAKE_CASE    	=   len(self.conv_dim )
  				SCREAMING_SNAKE_CASE    	=   num_hidden_layers
  				SCREAMING_SNAKE_CASE    	=   intermediate_size
  				SCREAMING_SNAKE_CASE    	=   hidden_act
  				SCREAMING_SNAKE_CASE    	=   num_attention_heads
  				SCREAMING_SNAKE_CASE    	=   hidden_dropout
  				SCREAMING_SNAKE_CASE    	=   attention_dropout
  				SCREAMING_SNAKE_CASE    	=   activation_dropout
  				SCREAMING_SNAKE_CASE    	=   feat_proj_layer_norm
  				SCREAMING_SNAKE_CASE    	=   feat_proj_dropout
  				SCREAMING_SNAKE_CASE    	=   final_dropout
  				SCREAMING_SNAKE_CASE    	=   layerdrop
  				SCREAMING_SNAKE_CASE    	=   layer_norm_eps
  				SCREAMING_SNAKE_CASE    	=   initializer_range
  				SCREAMING_SNAKE_CASE    	=   vocab_size
  				SCREAMING_SNAKE_CASE    	=   do_stable_layer_norm
  				SCREAMING_SNAKE_CASE    	=   use_weighted_layer_sum
  				SCREAMING_SNAKE_CASE    	=   classifier_proj_size
  
  				if (
  				    (len(self.conv_stride ) != self.num_feat_extract_layers)
  				    or (len(self.conv_kernel ) != self.num_feat_extract_layers)
  				    or (len(self.conv_dim ) != self.num_feat_extract_layers)
  				):
  							raise ValueError(
  							    '''Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =='''
  							    ''' `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ='''
  							    f""" {len(self.conv_dim )}`, `len(config.conv_stride) = {len(self.conv_stride )}`,"""
  							    f""" `len(config.conv_kernel) = {len(self.conv_kernel )}`.""" )
  
  				# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
  				SCREAMING_SNAKE_CASE    	=   apply_spec_augment
  				SCREAMING_SNAKE_CASE    	=   mask_time_prob
  				SCREAMING_SNAKE_CASE    	=   mask_time_length
  				SCREAMING_SNAKE_CASE    	=   mask_time_min_masks
  				SCREAMING_SNAKE_CASE    	=   mask_feature_prob
  				SCREAMING_SNAKE_CASE    	=   mask_feature_length
  				SCREAMING_SNAKE_CASE    	=   mask_feature_min_masks
  
  				# ctc loss
  				SCREAMING_SNAKE_CASE    	=   ctc_loss_reduction
  				SCREAMING_SNAKE_CASE    	=   ctc_zero_infinity
  
  
  
  
  
  
  
  	@property
  	def    snake_case__    (    self			:Any )		->			Tuple:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				return functools.reduce(operator.mul      ,    self.conv_stride      ,    1 )
  
  
style_context: 
  from __future__ import annotations
  
  __lowerCAmelCase				      =					[2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]
  
  
  
  
  
  class 						lowerCamelCase			:
  
  
  
  
  
  
  
  	def __init__(    self			:List[str]      ,    lowercase			:int )		->			None:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				SCREAMING_SNAKE_CASE    	=   -1
  				SCREAMING_SNAKE_CASE    	=   -1
  				SCREAMING_SNAKE_CASE    	=   [-1] * length
  				SCREAMING_SNAKE_CASE    	=   None
  				SCREAMING_SNAKE_CASE    	=   None
  
  
  
  
  
  
  
  	def __repr__(    self			:List[Any] )		->			str:
  
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  				return f"""Node(min_value={self.minn} max_value={self.maxx})"""
  
  
  
  def       a			(   a  )    ->Node | None:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE    	=   Node(len(a  )  )
  			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   min(a  ), max(a  )
  			# Leaf node case where the node contains only one unique value
  			if root.minn == root.maxx:
  						return root
  			SCREAMING_SNAKE_CASE    	=   (root.minn + root.maxx) // 2
  
  			SCREAMING_SNAKE_CASE    	=   []
  			SCREAMING_SNAKE_CASE    	=   []
  
  			for index, num in enumerate(a  ):
  						if num <= pivot:
  									left_arr.append(a  )
  						else:
  									right_arr.append(a  )
  						SCREAMING_SNAKE_CASE    	=   len(a  )
  			SCREAMING_SNAKE_CASE    	=   build_tree(a  )
  			SCREAMING_SNAKE_CASE    	=   build_tree(a  )
  			return root
  
  
  def       a			(   a		,	a		,	a  )    ->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
  			SCREAMING_SNAKE_CASE    	=   (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       a			(   a		,	a		,	a		,	a  )    ->int:
  
  
  
  
  			'''simple docstring'''
  
  
  			if start > end:
  						return 0
  			SCREAMING_SNAKE_CASE    	=   rank_till_index(a		,	a		,	a  )
  			SCREAMING_SNAKE_CASE    	=   rank_till_index(a		,	a		,	start - 1  )
  			return rank_till_end - rank_before_start
  
  
  def       a			(   a		,	a		,	a		,	a  )    ->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]
  			SCREAMING_SNAKE_CASE    	=   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       a			(   a		,	a		,	a		,	a		,	a  )    ->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
  			SCREAMING_SNAKE_CASE    	=   range_counting(
  			    node.left		,	(node.map_left[start - 1] if start else 0)		,	node.map_left[end] - 1		,	a		,	a		,	)
  			SCREAMING_SNAKE_CASE    	=   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()