
"""simple docstring"""


from __future__ import annotations



def     _lowerCamelCase(__UpperCamelCase    , __UpperCamelCase       )				-> str:
	_lowerCAmelCase						,							_lowerCAmelCase						,							_lowerCAmelCase								="""""", """""", """"""
	_lowerCAmelCase								=[]

	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(__UpperCamelCase    , __UpperCamelCase       )				-> tuple[str, str, str]:
	_lowerCAmelCase						,							_lowerCAmelCase								="""""", """"""
	_lowerCAmelCase								=[]

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

	for digit in this_part:
		tmp += digit
		if len(__UpperCamelCase       ) == len(__UpperCamelCase       ):
			result.append(__UpperCamelCase       )
			_lowerCAmelCase								=""""""

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



def     _lowerCamelCase(__UpperCamelCase    , __UpperCamelCase       )				-> tuple[str, str, dict[str, str], dict[str, str]]:
	# Validate message and alphabet, set to upper and remove spaces
	_lowerCAmelCase								=alphabet.replace(""" """    , """"""       ).upper()
	_lowerCAmelCase								=message.replace(""" """    , """"""       ).upper()

	# Check length and characters
	if len(__UpperCamelCase       ) != 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
	_lowerCAmelCase								=(
	    """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""",
	)
	_lowerCAmelCase								={}
	_lowerCAmelCase								={}
	for letter, number in zip(__UpperCamelCase    , __UpperCamelCase       ):
		_lowerCAmelCase								=number
		_lowerCAmelCase								=letter

	return message, alphabet, character_to_number, number_to_character



def     _lowerCamelCase(__UpperCamelCase    , __UpperCamelCase = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."    , __UpperCamelCase = 5       )				-> str:
	_lowerCAmelCase						,							_lowerCAmelCase						,							_lowerCAmelCase						,							_lowerCAmelCase								=__prepare(
	    __UpperCamelCase    , __UpperCamelCase       )
	_lowerCAmelCase						,							_lowerCAmelCase								="""""", """"""

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

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

	return encrypted



def     _lowerCamelCase(__UpperCamelCase    , __UpperCamelCase = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."    , __UpperCamelCase = 5       )				-> str:
	_lowerCAmelCase						,							_lowerCAmelCase						,							_lowerCAmelCase						,							_lowerCAmelCase								=__prepare(
	    __UpperCamelCase    , __UpperCamelCase       )
	_lowerCAmelCase								=[]
	_lowerCAmelCase								=""""""

	for i in range(0    , len(__UpperCamelCase       ) + 1    , __UpperCamelCase       ):
		_lowerCAmelCase						,							_lowerCAmelCase						,							_lowerCAmelCase								=__decrypt_part(message[i : i + period]    , __UpperCamelCase       )

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

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

	return decrypted


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







from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers

class   A__							:




						def __init__(				self    :					List[Any] ,			_a    :					List[Any]     )							->   None:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE	     =vocab
										_SCREAMING_SNAKE_CASE	     =normalizers.BertNormalizer(
										    clean_text=_a ,			handle_chinese_chars=_a ,			strip_accents=_a ,			lowercase=_a ,			)
										try:
														import rjieba
										except ImportError:
														raise ImportError(
														    '''You need to install rjieba to use RoFormerTokenizer. '''
														    '''See https://pypi.org/project/rjieba/ for installation.'''     )
										_SCREAMING_SNAKE_CASE	     =rjieba




						def 							__UpperCamelCase (				self    :					List[Any] ,			_a    :					int ,			_a    :					NormalizedString     )							->   List[NormalizedString]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE	     =[]

										# this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
										for token, start, end in self.jieba.tokenize(str(_a     ) ,			hmm=_a     ):
														if token in self.vocab:
																		splits.append(normalized_string[start:end]     )
														else:
																		_SCREAMING_SNAKE_CASE	     =self.normalizers.normalize_str(_a     ).split()
																		for token in token_list:
																						if token:
																										_SCREAMING_SNAKE_CASE	     =start + len(_a     )
																										splits.append(normalized_string[start:end]     )
																										_SCREAMING_SNAKE_CASE	     =end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

										return splits




						def 							__UpperCamelCase (				self    :					List[Any] ,			_a    :					PreTokenizedString     )							->   int:


										"""simple docstring"""





										pretok.split(self.jieba_split     )