
import functools
import operator

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase_       =	logging.get_logger(__name__)

UpperCamelCase_       =	{
    "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     _SCREAMING_SNAKE_CASE							(		__lowerCamelCase							):
				lowerCamelCase_       =     'hubert'





				def __init__(		self :		Union[str, Any]					,      snake_case_ :		int=32					,      snake_case_ :		List[Any]=768					,      snake_case_ :		int=12					,      snake_case_ :		int=12					,      snake_case_ :		Optional[int]=3072					,      snake_case_ :		Optional[Any]="gelu"					,      snake_case_ :		Any=0.1					,      snake_case_ :		Union[str, Any]=0.1					,      snake_case_ :		int=0.1					,      snake_case_ :		Union[str, Any]=True					,      snake_case_ :		List[str]=0.0					,      snake_case_ :		Dict=0.1					,      snake_case_ :		Optional[Any]=0.1					,      snake_case_ :		Optional[int]=0.02					,      snake_case_ :		Union[str, Any]=1E-5					,      snake_case_ :		str="group"					,      snake_case_ :		List[Any]="gelu"					,      snake_case_ :		Tuple=(512, 512, 512, 512, 512, 512, 512)					,      snake_case_ :		Union[str, Any]=(5, 2, 2, 2, 2, 2, 2)					,      snake_case_ :		List[Any]=(10, 3, 3, 3, 3, 2, 2)					,      snake_case_ :		int=False					,      snake_case_ :		Optional[Any]=128					,      snake_case_ :		int=16					,      snake_case_ :		Union[str, Any]=False					,      snake_case_ :		Optional[int]=True					,      snake_case_ :		List[str]=0.05					,      snake_case_ :		Tuple=10					,      snake_case_ :		Tuple=2					,      snake_case_ :		int=0.0					,      snake_case_ :		int=10					,      snake_case_ :		Optional[Any]=0					,      snake_case_ :		Tuple="sum"					,      snake_case_ :		Any=False					,      snake_case_ :		Optional[int]=False					,      snake_case_ :		str=256					,      snake_case_ :		Optional[int]=0					,      snake_case_ :		List[Any]=1					,      snake_case_ :		int=2					,      **snake_case_ :		Union[str, Any]					,      ):


								"""simple docstring"""

								super().__init__(**snake_case_					,      pad_token_id=snake_case_					,      bos_token_id=snake_case_					,      eos_token_id=snake_case_							)
								A     :  Optional[int]   =				hidden_size
								A     :  Union[str, Any]   =				feat_extract_norm
								A     :  Any   =				feat_extract_activation
								A     :  Union[str, Any]   =				list(snake_case_							)
								A     :  Union[str, Any]   =				list(snake_case_							)
								A     :  Any   =				list(snake_case_							)
								A     :  str   =				conv_bias
								A     :  Tuple   =				num_conv_pos_embeddings
								A     :  Dict   =				num_conv_pos_embedding_groups
								A     :  List[Any]   =				len(self.conv_dim							)
								A     :  Any   =				num_hidden_layers
								A     :  List[Any]   =				intermediate_size
								A     :  str   =				hidden_act
								A     :  str   =				num_attention_heads
								A     :  Tuple   =				hidden_dropout
								A     :  Tuple   =				attention_dropout
								A     :  Tuple   =				activation_dropout
								A     :  int   =				feat_proj_layer_norm
								A     :  List[Any]   =				feat_proj_dropout
								A     :  Tuple   =				final_dropout
								A     :  List[str]   =				layerdrop
								A     :  Optional[int]   =				layer_norm_eps
								A     :  List[Any]   =				initializer_range
								A     :  Dict   =				vocab_size
								A     :  Union[str, Any]   =				do_stable_layer_norm
								A     :  Union[str, Any]   =				use_weighted_layer_sum
								A     :  int   =				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
								A     :  Any   =				apply_spec_augment
								A     :  Optional[Any]   =				mask_time_prob
								A     :  Tuple   =				mask_time_length
								A     :  List[str]   =				mask_time_min_masks
								A     :  Tuple   =				mask_feature_prob
								A     :  Tuple   =				mask_feature_length
								A     :  Dict   =				mask_feature_min_masks

								# ctc loss
								A     :  int   =				ctc_loss_reduction
								A     :  Optional[int]   =				ctc_zero_infinity






				@property
				def        _UpperCAmelCase						(		self :		Any							):


								"""simple docstring"""

								return functools.reduce(operator.mul					,      self.conv_stride					,      1							)

from __future__ import annotations





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  dict[str, str]		):



				'''simple docstring'''







				A ,       A ,       A     :  str   =				'''''', '''''', ''''''
				A     :  Union[str, Any]   =				[]

				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 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  dict[str, str]		):



				'''simple docstring'''







				A ,       A     :  Tuple   =				'''''', ''''''
				A     :  str   =				[]

				for character in message_part:
								this_part += character_to_number[character]

				for digit in this_part:
								tmp += digit
								if len(lowerCamelCase_		) == len(lowerCamelCase_		):
												result.append(lowerCamelCase_		)
												A     :  Dict   =				''''''

				return result[0], result[1], result[2]





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  str		):



				'''simple docstring'''







				A     :  Dict   =				alphabet.replace(''' '''				,	''''''		).upper()
				A     :  List[str]   =				message.replace(''' '''				,	''''''		).upper()

				# Check length and characters
				if len(lowerCamelCase_		) != 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
				A     :  str   =				(
				    '''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''',
				)
				A     :  Union[str, Any]   =				{}
				A     :  int   =				{}
				for letter, number in zip(lowerCamelCase_				,	lowerCamelCase_		):
								A     :  Optional[Any]   =				number
								A     :  Union[str, Any]   =				letter

				return message, alphabet, character_to_number, number_to_character





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."				,	lowerCamelCase_:  int = 5		):



				'''simple docstring'''







				A ,       A ,       A ,       A     :  Optional[int]   =				__prepare(
				    lowerCamelCase_				,	lowerCamelCase_		)
				A ,       A     :  int   =				'''''', ''''''

				for i in range(0				,	len(lowerCamelCase_		) + 1				,	lowerCamelCase_		):
								encrypted_numeric += __encrypt_part(
								    message[i : i + period]				,	lowerCamelCase_		)

				for i in range(0				,	len(lowerCamelCase_		)				,	3		):
								encrypted += number_to_character[encrypted_numeric[i : i + 3]]

				return encrypted





def 							_lowerCamelCase			(					lowerCamelCase_:  str				,	lowerCamelCase_:  str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."				,	lowerCamelCase_:  int = 5		):



				'''simple docstring'''







				A ,       A ,       A ,       A     :  Optional[int]   =				__prepare(
				    lowerCamelCase_				,	lowerCamelCase_		)
				A     :  Tuple   =				[]
				A     :  Optional[Any]   =				''''''

				for i in range(0				,	len(lowerCamelCase_		) + 1				,	lowerCamelCase_		):
								A ,       A ,       A     :  List[Any]   =				__decrypt_part(message[i : i + period]				,	lowerCamelCase_		)

								for j in range(0				,	len(lowerCamelCase_		)		):
												decrypted_numeric.append(a[j] + b[j] + c[j]		)

				for each in decrypted_numeric:
								decrypted += number_to_character[each]

				return decrypted


if __name__ == "__main__":
					UpperCamelCase_  =	"DEFEND THE EAST WALL OF THE CASTLE."
					UpperCamelCase_  =	encrypt_message(msg, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ")
					UpperCamelCase_  =	decrypt_message(encrypted, "EPSDUCVWYM.ZLKXNBTFGORIJHAQ")
					print(F'''Encrypted: {encrypted}\nDecrypted: {decrypted}''')