
"""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}""")





"""simple docstring"""


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_xlm_roberta import XLMRobertaTokenizer
else:
			__A       						=       None


__A       						=       logging.get_logger(__name__)

__A       						=       {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

__A       						=       {
    'vocab_file': {
        'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model',
        'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model',
        'xlm-roberta-large-finetuned-conll02-dutch': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll02-spanish': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll03-english': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model'
        ),
        'xlm-roberta-large-finetuned-conll03-german': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'xlm-roberta-base': 'https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json',
        'xlm-roberta-large': 'https://huggingface.co/xlm-roberta-large/resolve/main/tokenizer.json',
        'xlm-roberta-large-finetuned-conll02-dutch': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/tokenizer.json'
        ),
        'xlm-roberta-large-finetuned-conll02-spanish': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/tokenizer.json'
        ),
        'xlm-roberta-large-finetuned-conll03-english': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/tokenizer.json'
        ),
        'xlm-roberta-large-finetuned-conll03-german': (
            'https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/tokenizer.json'
        ),
    },
}

__A       						=       {
    'xlm-roberta-base': 512,
    'xlm-roberta-large': 512,
    'xlm-roberta-large-finetuned-conll02-dutch': 512,
    'xlm-roberta-large-finetuned-conll02-spanish': 512,
    'xlm-roberta-large-finetuned-conll03-english': 512,
    'xlm-roberta-large-finetuned-conll03-german': 512,
}







class 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''
			lowerCamelCase  					=		VOCAB_FILES_NAMES
			lowerCamelCase  					=		PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase  					=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase  					=		['''input_ids''', '''attention_mask''']
			lowerCamelCase  					=		XLMRobertaTokenizer



			def __init__(							self     ,     __UpperCAmelCase=None     ,     __UpperCAmelCase=None     ,     __UpperCAmelCase="<s>"     ,     __UpperCAmelCase="</s>"     ,     __UpperCAmelCase="</s>"     ,     __UpperCAmelCase="<s>"     ,     __UpperCAmelCase="<unk>"     ,     __UpperCAmelCase="<pad>"     ,     __UpperCAmelCase="<mask>"     ,     **__UpperCAmelCase     ,     ) ->     str:
				# Mask token behave like a normal word, i.e. include the space before it
				_lowerCAmelCase								=AddedToken(__UpperCAmelCase     ,     lstrip=__UpperCAmelCase     ,     rstrip=__UpperCAmelCase  ) if isinstance(__UpperCAmelCase     ,     __UpperCAmelCase  ) else mask_token

				super().__init__(
				    __UpperCAmelCase     ,     tokenizer_file=__UpperCAmelCase     ,     bos_token=__UpperCAmelCase     ,     eos_token=__UpperCAmelCase     ,     sep_token=__UpperCAmelCase     ,     cls_token=__UpperCAmelCase     ,     unk_token=__UpperCAmelCase     ,     pad_token=__UpperCAmelCase     ,     mask_token=__UpperCAmelCase     ,     **__UpperCAmelCase     ,     )

				_lowerCAmelCase								=vocab_file
				_lowerCAmelCase								=False if not self.vocab_file else True



			def 					_lowerCAmelCase		(							self     ,     __UpperCAmelCase     ,     __UpperCAmelCase = None  ) ->     List[int]:

				if token_ids_a is None:
					return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
				_lowerCAmelCase								=[self.cls_token_id]
				_lowerCAmelCase								=[self.sep_token_id]
				return cls + token_ids_a + sep + sep + token_ids_a + sep



			def 					_lowerCAmelCase		(							self     ,     __UpperCAmelCase     ,     __UpperCAmelCase = None  ) ->     List[int]:
				_lowerCAmelCase								=[self.sep_token_id]
				_lowerCAmelCase								=[self.cls_token_id]

				if token_ids_a is None:
					return len(cls + token_ids_a + sep  ) * [0]
				return len(cls + token_ids_a + sep + sep + token_ids_a + sep  ) * [0]



			def 					_lowerCAmelCase		(							self     ,     __UpperCAmelCase     ,     __UpperCAmelCase = None  ) ->     Tuple[str]:
				if not self.can_save_slow_tokenizer:
					raise ValueError(
					    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
					    """tokenizer."""  )

				if not os.path.isdir(__UpperCAmelCase  ):
					logger.error(f'''Vocabulary path ({save_directory}) should be a directory.'''  )
					return
				_lowerCAmelCase								=os.path.join(
				    __UpperCAmelCase     ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )

				if os.path.abspath(self.vocab_file  ) != os.path.abspath(__UpperCAmelCase  ):
					copyfile(self.vocab_file     ,     __UpperCAmelCase  )

				return (out_vocab_file,)



