code: 
  _snake_case			:       List[Any]      =						{
      "A": ("ABCDEFGHIJKLM", "NOPQRSTUVWXYZ"),
      "B": ("ABCDEFGHIJKLM", "NOPQRSTUVWXYZ"),
      "C": ("ABCDEFGHIJKLM", "ZNOPQRSTUVWXY"),
      "D": ("ABCDEFGHIJKLM", "ZNOPQRSTUVWXY"),
      "E": ("ABCDEFGHIJKLM", "YZNOPQRSTUVWX"),
      "F": ("ABCDEFGHIJKLM", "YZNOPQRSTUVWX"),
      "G": ("ABCDEFGHIJKLM", "XYZNOPQRSTUVW"),
      "H": ("ABCDEFGHIJKLM", "XYZNOPQRSTUVW"),
      "I": ("ABCDEFGHIJKLM", "WXYZNOPQRSTUV"),
      "J": ("ABCDEFGHIJKLM", "WXYZNOPQRSTUV"),
      "K": ("ABCDEFGHIJKLM", "VWXYZNOPQRSTU"),
      "L": ("ABCDEFGHIJKLM", "VWXYZNOPQRSTU"),
      "M": ("ABCDEFGHIJKLM", "UVWXYZNOPQRST"),
      "N": ("ABCDEFGHIJKLM", "UVWXYZNOPQRST"),
      "O": ("ABCDEFGHIJKLM", "TUVWXYZNOPQRS"),
      "P": ("ABCDEFGHIJKLM", "TUVWXYZNOPQRS"),
      "Q": ("ABCDEFGHIJKLM", "STUVWXYZNOPQR"),
      "R": ("ABCDEFGHIJKLM", "STUVWXYZNOPQR"),
      "S": ("ABCDEFGHIJKLM", "RSTUVWXYZNOPQ"),
      "T": ("ABCDEFGHIJKLM", "RSTUVWXYZNOPQ"),
      "U": ("ABCDEFGHIJKLM", "QRSTUVWXYZNOP"),
      "V": ("ABCDEFGHIJKLM", "QRSTUVWXYZNOP"),
      "W": ("ABCDEFGHIJKLM", "PQRSTUVWXYZNO"),
      "X": ("ABCDEFGHIJKLM", "PQRSTUVWXYZNO"),
      "Y": ("ABCDEFGHIJKLM", "OPQRSTUVWXYZN"),
      "Z": ("ABCDEFGHIJKLM", "OPQRSTUVWXYZN"),
  }
  
  def    __snake_case       (  __magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				return [alphabet[char] for char in key.upper()]
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			""
  				lowercase						    =			0
  				lowercase						    =			generate_table(__magic_name__	)
  				for char in words.upper():
  								cipher += get_opponent(table[count]		,						__magic_name__	)
  								lowercase						    =			(count + 1) % len(__magic_name__	)
  				return cipher
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				return encrypt(__magic_name__		,						__magic_name__	)
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			0 if char in table[0] else 1
  				lowercase						    =			table[row].index(__magic_name__	)
  				return row, col
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase    ,  lowercase						    =			get_position(__magic_name__		,						char.upper()	)
  				if row == 1:
  								return table[0][col]
  				else:
  								return table[1][col] if row == 0 else char
  
  
  if __name__ == "__main__":
  						import doctest
  
  						doctest.testmod()  # Fist ensure that all our tests are passing...
  						_snake_case			:       List[Any]      =						input("Enter key: ").strip()
  						_snake_case			:       Optional[int]      =						input("Enter text to encrypt: ").strip()
  						_snake_case			:       Optional[Any]      =						encrypt(key, text)
  
  						print(F"Encrypted: {cipher_text}")
  						print(F"Decrypted with key: {decrypt(key, cipher_text)}")
  
style_context: 
  from functools import partial
  from typing import Any, Callable, Dict, List, Type, TypeVar, Union, overload
  
  import torch
  import torch.nn as nn
  import torch.types
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				if not inplace:
  								lowercase						    =			ma + ma
  				else:
  								ma += ma
  
  				return ma
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			-1 * len(__magic_name__	)
  				lowercase						    =			list(range(len(tensor.shape[:zero_index]	)	)	)
  				return tensor.permute(first_inds + [zero_index + i for i in inds]	)
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				return t.reshape(t.shape[:-no_dims] + (-1,)	)
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__		,						__magic_name__ = 1e-4	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			mask.expand(*value.shape	)
  				return torch.sum(mask * value		,						dim=__magic_name__	) / (eps + torch.sum(__magic_name__		,						dim=__magic_name__	))
  
  def    __snake_case       (  __magic_name__		,						__magic_name__ = 2.3_1_2_5		,						__magic_name__ = 2_1.6_8_7_5		,						__magic_name__ = 64	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			torch.linspace(__magic_name__		,						__magic_name__		,						no_bins - 1		,						device=pts.device	)
  				lowercase						    =			torch.sqrt(torch.sum((pts.unsqueeze(-2	) - pts.unsqueeze(-3	)) ** 2		,						dim=-1	)	)
  				return torch.bucketize(__magic_name__		,						__magic_name__	)
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			dicts[0]
  				lowercase						    =			{}
  				for k, v in first.items():
  								lowercase						    =			[d[k] for d in dicts]
  								if isinstance(__magic_name__		,						__magic_name__	):
  												lowercase						    =			dict_multimap(__magic_name__		,						__magic_name__	)
  								else:
  												lowercase						    =			fn(__magic_name__	)
  
  				return new_dict
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			v_bins.view(((1,) * len(x.shape	)) + (len(__magic_name__	),)	)
  				lowercase						    =			x[..., None] - reshaped_bins
  				lowercase						    =			torch.argmin(torch.abs(__magic_name__	)		,						dim=-1	)
  				return nn.functional.one_hot(__magic_name__		,						num_classes=len(__magic_name__	)	).float()
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__ = 0		,						__magic_name__ = 0	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			[]
  				for i, s in enumerate(data.shape[:no_batch_dims]	):
  								lowercase						    =			torch.arange(__magic_name__	)
  								lowercase						    =			r.view(*(*((1,) * i), -1, *((1,) * (len(inds.shape	) - i - 1)))	)
  								ranges.append(__magic_name__	)
  
  				lowercase						    =			[slice(__magic_name__	) for _ in range(len(data.shape	) - no_batch_dims	)]
  				lowercase						    =			inds
  				ranges.extend(__magic_name__	)
  				# Matt note: Editing this to get around the behaviour of using a list as an array index changing
  				# in recent Numpy versions
  				return data[tuple(__magic_name__	)]
  
  
  _snake_case			:       List[Any]      =						TypeVar("T")
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			{}
  				for k, v in dic.items():
  								if isinstance(__magic_name__		,						__magic_name__	):
  												lowercase						    =			dict_map(__magic_name__		,						__magic_name__		,						__magic_name__	)
  								else:
  												lowercase						    =			tree_map(__magic_name__		,						__magic_name__		,						__magic_name__	)
  
  				return new_dict
  
  @overload
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				...
  
  @overload
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				...
  
  @overload
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				...
  
  @overload
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				...
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				if isinstance(__magic_name__		,						__magic_name__	):
  								return dict_map(__magic_name__		,						__magic_name__		,						__magic_name__	)
  				elif isinstance(__magic_name__		,						__magic_name__	):
  								return [tree_map(__magic_name__		,						__magic_name__		,						__magic_name__	) for x in tree]
  				elif isinstance(__magic_name__		,						__magic_name__	):
  								return tuple(tree_map(__magic_name__		,						__magic_name__		,						__magic_name__	) for x in tree	)
  				elif isinstance(__magic_name__		,						__magic_name__	):
  								return fn(__magic_name__	)
  				else:
  								print(type(__magic_name__	)	)
  								raise ValueError("Not supported"	)
  
  
  
  
  _snake_case			:       Union[str, Any]      =						partial(tree_map, leaf_type=torch.Tensor)
  