





'''simple docstring'''

def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	List[Any]					     =     ''''''
      for i in table:
            res += inp[i - 1]
      return res




def    _a    (							lowerCAmelCase_	):





      """simple docstring"""



      return data[1:] + data[0]




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Union[str, Any]					     =     ''''''
      for i in range(len(lowerCAmelCase_	)	):
            if a[i] == b[i]:
                  res += "0"
            else:
                  res += "1"
      return res




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	Dict					     =     int('''0b''' + data[0] + data[-1]			,      2	)
      _snake_case		:	Union[str, Any]					     =     int('''0b''' + data[1:3]			,      2	)
      return bin(s[row][col]	)[2:]




def    _a    (							lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_			,      lowerCAmelCase_	):





      """simple docstring"""



      _snake_case		:	int					     =     message[:4]
      _snake_case		:	List[Any]					     =     message[4:]
      _snake_case		:	List[Any]					     =     apply_table(lowerCAmelCase_			,      lowerCAmelCase_	)
      _snake_case		:	List[str]					     =     xor(lowerCAmelCase_			,      lowerCAmelCase_	)
      _snake_case		:	Optional[Any]					     =     apply_sbox(lowerCAmelCase_			,      temp[:4]	)  # noqa: E741
      _snake_case		:	List[str]					     =     apply_sbox(lowerCAmelCase_			,      temp[4:]	)
      _snake_case		:	int					     =     '''0''' * (2 - len(lowerCAmelCase_	)) + l  # noqa: E741
      _snake_case		:	Dict					     =     '''0''' * (2 - len(lowerCAmelCase_	)) + r
      _snake_case		:	List[Any]					     =     apply_table(l + r			,      lowerCAmelCase_	)
      _snake_case		:	Dict					     =     xor(lowerCAmelCase_			,      lowerCAmelCase_	)
      return temp + right


if __name__ == "__main__":
   UpperCAmelCase					:		Union[str, Any]		=							input('Enter 10 bit key: ')
   UpperCAmelCase					:		Union[str, Any]		=							input('Enter 8 bit message: ')

   UpperCAmelCase					:		str		=							[6, 3, 7, 4, 8, 5, 1_0, 9]
   UpperCAmelCase					:		str		=							[3, 5, 2, 7, 4, 1_0, 1, 9, 8, 6]
   UpperCAmelCase					:		Dict		=							[2, 4, 3, 1]
   UpperCAmelCase					:		str		=							[2, 6, 3, 1, 4, 8, 5, 7]
   UpperCAmelCase					:		Union[str, Any]		=							[4, 1, 3, 5, 7, 2, 8, 6]
   UpperCAmelCase					:		List[str]		=							[4, 1, 2, 3, 2, 3, 4, 1]
   UpperCAmelCase					:		Dict		=							[[1, 0, 3, 2], [3, 2, 1, 0], [0, 2, 1, 3], [3, 1, 3, 2]]
   UpperCAmelCase					:		Optional[int]		=							[[0, 1, 2, 3], [2, 0, 1, 3], [3, 0, 1, 0], [2, 1, 0, 3]]

   # key generation
   UpperCAmelCase					:		Dict		=							apply_table(key, paa_table)
   UpperCAmelCase					:		Optional[int]		=							temp[:5]
   UpperCAmelCase					:		Dict		=							temp[5:]
   UpperCAmelCase					:		int		=							left_shift(left)
   UpperCAmelCase					:		str		=							left_shift(right)
   UpperCAmelCase					:		Dict		=							apply_table(left + right, pa_table)
   UpperCAmelCase					:		str		=							left_shift(left)
   UpperCAmelCase					:		str		=							left_shift(right)
   UpperCAmelCase					:		List[str]		=							left_shift(left)
   UpperCAmelCase					:		Union[str, Any]		=							left_shift(right)
   UpperCAmelCase					:		Optional[Any]		=							apply_table(left + right, pa_table)

   # encryption
   UpperCAmelCase					:		Tuple		=							apply_table(message, IP)
   UpperCAmelCase					:		Dict		=							function(expansion, sa, sa, keya, temp)
   UpperCAmelCase					:		List[Any]		=							temp[4:] + temp[:4]
   UpperCAmelCase					:		Union[str, Any]		=							function(expansion, sa, sa, keya, temp)
   UpperCAmelCase					:		Union[str, Any]		=							apply_table(temp, IP_inv)
   print('Cipher text is:', CT)

   # decryption
   UpperCAmelCase					:		List[Any]		=							apply_table(CT, IP)
   UpperCAmelCase					:		Union[str, Any]		=							function(expansion, sa, sa, keya, temp)
   UpperCAmelCase					:		Optional[int]		=							temp[4:] + temp[:4]
   UpperCAmelCase					:		Union[str, Any]		=							function(expansion, sa, sa, keya, temp)
   UpperCAmelCase					:		Optional[Any]		=							apply_table(temp, IP_inv)
   print('Plain text after decypting is:', PT)









'''simple docstring'''

import functools
import operator

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


UpperCAmelCase					:		List[str]		=							logging.get_logger(__name__)

UpperCAmelCase					:		Dict		=							{
    'asapp/sew-d-tiny-100k': 'https://huggingface.co/asapp/sew-d-tiny-100k/resolve/main/config.json',
    # See all SEW-D models at https://huggingface.co/models?filter=sew-d
}





class lowerCamelCase						(a__					):
  _lowercase  :	List[str]       					=				"""sew-d"""







  def __init__(		self     ,     lowercase__=32     ,     lowercase__=768     ,     lowercase__=12     ,     lowercase__=12     ,     lowercase__=3_072     ,     lowercase__=2     ,     lowercase__=512     ,     lowercase__=256     ,     lowercase__=True     ,     lowercase__=True     ,     lowercase__=("p2c", "c2p")     ,     lowercase__="layer_norm"     ,     lowercase__="gelu_python"     ,     lowercase__=0.1     ,     lowercase__=0.1     ,     lowercase__=0.1     ,     lowercase__=0.0     ,     lowercase__=0.1     ,     lowercase__=0.02     ,     lowercase__=1E-7     ,     lowercase__=1E-5     ,     lowercase__="group"     ,     lowercase__="gelu"     ,     lowercase__=(64, 128, 128, 128, 128, 256, 256, 256, 256, 512, 512, 512, 512)     ,     lowercase__=(5, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1)     ,     lowercase__=(10, 3, 1, 3, 1, 3, 1, 3, 1, 2, 1, 2, 1)     ,     lowercase__=False     ,     lowercase__=128     ,     lowercase__=16     ,     lowercase__=True     ,     lowercase__=0.05     ,     lowercase__=10     ,     lowercase__=2     ,     lowercase__=0.0     ,     lowercase__=10     ,     lowercase__=0     ,     lowercase__="mean"     ,     lowercase__=False     ,     lowercase__=False     ,     lowercase__=256     ,     lowercase__=0     ,     lowercase__=1     ,     lowercase__=2     ,     **lowercase__     ,     )		->						Dict:






        """simple docstring"""





        super().__init__(**lowercase__     ,     pad_token_id=lowercase__     ,     bos_token_id=lowercase__     ,     eos_token_id=lowercase__		)
        _snake_case		:	List[str]					     =     hidden_size
        _snake_case		:	Optional[Any]					     =     feat_extract_norm
        _snake_case		:	Tuple					     =     feat_extract_activation
        _snake_case		:	Tuple					     =     list(lowercase__		)
        _snake_case		:	Any					     =     list(lowercase__		)
        _snake_case		:	Any					     =     list(lowercase__		)
        _snake_case		:	Any					     =     conv_bias
        _snake_case		:	List[Any]					     =     num_conv_pos_embeddings
        _snake_case		:	Any					     =     num_conv_pos_embedding_groups
        _snake_case		:	Union[str, Any]					     =     len(self.conv_dim		)
        _snake_case		:	Optional[Any]					     =     num_hidden_layers
        _snake_case		:	Optional[int]					     =     intermediate_size
        _snake_case		:	Any					     =     squeeze_factor
        _snake_case		:	Optional[Any]					     =     max_position_embeddings
        _snake_case		:	Tuple					     =     position_buckets
        _snake_case		:	Tuple					     =     share_att_key
        _snake_case		:	Any					     =     relative_attention
        _snake_case		:	Optional[int]					     =     norm_rel_ebd
        _snake_case		:	Optional[Any]					     =     list(lowercase__		)
        _snake_case		:	List[Any]					     =     hidden_act
        _snake_case		:	List[Any]					     =     num_attention_heads
        _snake_case		:	Dict					     =     hidden_dropout
        _snake_case		:	Tuple					     =     attention_dropout
        _snake_case		:	Union[str, Any]					     =     activation_dropout
        _snake_case		:	List[Any]					     =     feat_proj_dropout
        _snake_case		:	Optional[int]					     =     final_dropout
        _snake_case		:	Optional[Any]					     =     layer_norm_eps
        _snake_case		:	Dict					     =     feature_layer_norm_eps
        _snake_case		:	List[Any]					     =     initializer_range
        _snake_case		:	Dict					     =     vocab_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)`,'''
                  F'''but is `len(config.conv_dim) = {len(self.conv_dim		)}`, `len(config.conv_stride)'''
                  F'''= {len(self.conv_stride		)}`, `len(config.conv_kernel) = {len(self.conv_kernel		)}`.'''		)

        # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
        _snake_case		:	Union[str, Any]					     =     apply_spec_augment
        _snake_case		:	Any					     =     mask_time_prob
        _snake_case		:	List[str]					     =     mask_time_length
        _snake_case		:	Dict					     =     mask_time_min_masks
        _snake_case		:	Union[str, Any]					     =     mask_feature_prob
        _snake_case		:	Tuple					     =     mask_feature_length
        _snake_case		:	Union[str, Any]					     =     mask_feature_min_masks

        # ctc loss
        _snake_case		:	Optional[Any]					     =     ctc_loss_reduction
        _snake_case		:	Optional[Any]					     =     ctc_zero_infinity

        # sequence classification
        _snake_case		:	List[Any]					     =     use_weighted_layer_sum
        _snake_case		:	Any					     =     classifier_proj_size







  @property
  def 				UpperCAmelCase_				(		self		)		->						Any:






        """simple docstring"""





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


