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
  
  
  def       a			(   a		,	a  )    ->str:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   '''''', '''''', ''''''
  			SCREAMING_SNAKE_CASE    	=   []
  
  			for character in message_part:
  						tmp.append(character_to_number[character]  )
  
  			for each in tmp:
  						one += each[0]
  						two += each[1]
  						three += each[2]
  
  			return one + two + three
  
  
  def       a			(   a		,	a  )    ->tuple[str, str, str]:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   '''''', ''''''
  			SCREAMING_SNAKE_CASE    	=   []
  
  			for character in message_part:
  						this_part += character_to_number[character]
  
  			for digit in this_part:
  						tmp += digit
  						if len(a  ) == len(a  ):
  									result.append(a  )
  									SCREAMING_SNAKE_CASE    	=   ''''''
  
  			return result[0], result[1], result[2]
  
  
  def       a			(   a		,	a  )    ->tuple[str, str, dict[str, str], dict[str, str]]:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE    	=   alphabet.replace(''' '''		,	''''''  ).upper()
  			SCREAMING_SNAKE_CASE    	=   message.replace(''' '''		,	''''''  ).upper()
  
  			# Check length and characters
  			if len(a  ) != 27:
  						raise KeyError('''Length of alphabet has to be 27.'''  )
  			for each in message:
  						if each not in alphabet:
  									raise ValueError('''Each message character has to be included in alphabet!'''  )
  
      # Generate dictionares
  			SCREAMING_SNAKE_CASE    	=   (
  			    '''111''',
  			    '''112''',
  			    '''113''',
  			    '''121''',
  			    '''122''',
  			    '''123''',
  			    '''131''',
  			    '''132''',
  			    '''133''',
  			    '''211''',
  			    '''212''',
  			    '''213''',
  			    '''221''',
  			    '''222''',
  			    '''223''',
  			    '''231''',
  			    '''232''',
  			    '''233''',
  			    '''311''',
  			    '''312''',
  			    '''313''',
  			    '''321''',
  			    '''322''',
  			    '''323''',
  			    '''331''',
  			    '''332''',
  			    '''333''',
  			)
  			SCREAMING_SNAKE_CASE    	=   {}
  			SCREAMING_SNAKE_CASE    	=   {}
  			for letter, number in zip(a		,	a  ):
  						SCREAMING_SNAKE_CASE    	=   number
  						SCREAMING_SNAKE_CASE    	=   letter
  
  			return message, alphabet, character_to_number, number_to_character
  
  
  def       a			(   a		,	a = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."		,	a = 5  )    ->str:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   __prepare(
  			    a		,	a  )
  			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   '''''', ''''''
  
  			for i in range(0		,	len(a  ) + 1		,	a  ):
  						encrypted_numeric += __encrypt_part(
  						    message[i : i + period]		,	a  )
  
  			for i in range(0		,	len(a  )		,	3  ):
  						encrypted += number_to_character[encrypted_numeric[i : i + 3]]
  
  			return encrypted
  
  
  def       a			(   a		,	a = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."		,	a = 5  )    ->str:
  
  
  
  
  			'''simple docstring'''
  
  
  			SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   __prepare(
  			    a		,	a  )
  			SCREAMING_SNAKE_CASE    	=   []
  			SCREAMING_SNAKE_CASE    	=   ''''''
  
  			for i in range(0		,	len(a  ) + 1		,	a  ):
  						SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE	,       SCREAMING_SNAKE_CASE    	=   __decrypt_part(message[i : i + period]		,	a  )
  
  						for j in range(0		,	len(a  )  ):
  									decrypted_numeric.append(a[j] + b[j] + c[j]  )
  
  			for each in decrypted_numeric:
  						decrypted += number_to_character[each]
  
  			return decrypted
  
  
  if __name__ == "__main__":
  							__lowerCAmelCase				      =					'DEFEND THE EAST WALL OF THE CASTLE.'
  							__lowerCAmelCase				      =					encrypt_message(msg, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
  							__lowerCAmelCase				      =					decrypt_message(encrypted, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
  							print(F'''Encrypted: {encrypted}\nDecrypted: {decrypted}''')