



'''simple docstring'''







import random
import sys

from . import cryptomath_module as cryptomath

SCREAMING_SNAKE_CASE__     : Tuple				=   (
    r""" !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`"""
    r"""abcdefghijklmnopqrstuvwxyz{|}~"""
)







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		if mode == "encrypt":
				if key_a == 1:
						sys.exit(
						    'The affine cipher becomes weak when key '
						    'A is set to 1. Choose different key'     )
				if key_b == 0:
						sys.exit(
						    'The affine cipher becomes weak when key '
						    'B is set to 0. Choose different key'     )
		if key_a < 0 or key_b < 0 or key_b > len(SCREAMING_SNAKE_CASE     ) - 1:
				sys.exit(
				    'Key A must be greater than 0 and key B must '
				    F'be between 0 and {len(SCREAMING_SNAKE_CASE     ) - 1}.'     )
		if cryptomath.gcd(SCREAMING_SNAKE_CASE ,		len(SCREAMING_SNAKE_CASE     )     ) != 1:
				sys.exit(
				    F'Key A {key_a} and the symbol set size {len(SCREAMING_SNAKE_CASE     )} '
				    'are not relatively prime. Choose a different key.'     )







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						:List[Any]										=      divmod(SCREAMING_SNAKE_CASE ,		len(SCREAMING_SNAKE_CASE     )     )
		check_keys(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		'encrypt'     )
		SCREAMING_SNAKE_CASE_						:List[Any]										=      ''
		for symbol in message:
				if symbol in SYMBOLS:
						SCREAMING_SNAKE_CASE_						:List[Any]										=      SYMBOLS.find(SCREAMING_SNAKE_CASE     )
						cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(SCREAMING_SNAKE_CASE     )]
				else:
						cipher_text += symbol
		return cipher_text







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						:Optional[int]										=      divmod(SCREAMING_SNAKE_CASE ,		len(SCREAMING_SNAKE_CASE     )     )
		check_keys(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		'decrypt'     )
		SCREAMING_SNAKE_CASE_						:List[str]										=      ''
		SCREAMING_SNAKE_CASE_						:Dict										=      cryptomath.find_mod_inverse(SCREAMING_SNAKE_CASE ,		len(SCREAMING_SNAKE_CASE     )     )
		for symbol in message:
				if symbol in SYMBOLS:
						SCREAMING_SNAKE_CASE_						:Tuple										=      SYMBOLS.find(SCREAMING_SNAKE_CASE     )
						plain_text += SYMBOLS[
						    (sym_index - key_b) * mod_inverse_of_key_a % len(SCREAMING_SNAKE_CASE     )
						]
				else:
						plain_text += symbol
		return plain_text







def  SCREAMING_SNAKE_CASE__ (				):
		while True:
				SCREAMING_SNAKE_CASE_						:List[str]										=      random.randint(2 ,		len(SCREAMING_SNAKE_CASE     )     )
				SCREAMING_SNAKE_CASE_						:int										=      random.randint(2 ,		len(SCREAMING_SNAKE_CASE     )     )
				if cryptomath.gcd(SCREAMING_SNAKE_CASE ,		len(SCREAMING_SNAKE_CASE     )     ) == 1 and key_b % len(SCREAMING_SNAKE_CASE     ) != 0:
						return key_b * len(SCREAMING_SNAKE_CASE     ) + key_b







def  SCREAMING_SNAKE_CASE__ (				):
		SCREAMING_SNAKE_CASE_						:int										=      input('Enter message: '     ).strip()
		SCREAMING_SNAKE_CASE_						:Any										=      int(input('Enter key [2000 - 9000]: '     ).strip()     )
		SCREAMING_SNAKE_CASE_						:int										=      input('Encrypt/Decrypt [E/D]: '     ).strip().lower()

		if mode.startswith('e'     ):
				SCREAMING_SNAKE_CASE_						:int										=      'encrypt'
				SCREAMING_SNAKE_CASE_						:int										=      encrypt_message(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
		elif mode.startswith('d'     ):
				SCREAMING_SNAKE_CASE_						:List[str]										=      'decrypt'
				SCREAMING_SNAKE_CASE_						:Dict										=      decrypt_message(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
		print(F'\n{mode.title()}ed text: \n{translated}'     )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							# main()






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:
							UpperCamelCase__						=		None


UpperCamelCase__						=		logging.get_logger(__name__)

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

UpperCamelCase__						=		{
    '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'
        ),
    },
}

UpperCamelCase__						=		{
    'xlm-roberta-base': 5_1_2,
    'xlm-roberta-large': 5_1_2,
    'xlm-roberta-large-finetuned-conll02-dutch': 5_1_2,
    'xlm-roberta-large-finetuned-conll02-spanish': 5_1_2,
    'xlm-roberta-large-finetuned-conll03-english': 5_1_2,
    'xlm-roberta-large-finetuned-conll03-german': 5_1_2,
}


class 							__SCREAMING_SNAKE_CASE				(						lowerCamelCase    ):
					_lowerCamelCase						    =					VOCAB_FILES_NAMES
					_lowerCamelCase						    =					PRETRAINED_VOCAB_FILES_MAP
					_lowerCamelCase						    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_lowerCamelCase						    =					["""input_ids""", """attention_mask"""]
					_lowerCamelCase						    =					XLMRobertaTokenizer

					def __init__(							self					,			__lowercase=None					,			__lowercase=None					,			__lowercase="<s>"					,			__lowercase="</s>"					,			__lowercase="</s>"					,			__lowercase="<s>"					,			__lowercase="<unk>"					,			__lowercase="<pad>"					,			__lowercase="<mask>"					,			**__lowercase					,			):







						'''simple docstring'''




						lowerCamelCase_				:						Optional[int]				  =				AddedToken(__lowercase					,			lstrip=__lowercase					,			rstrip=__lowercase   ) if isinstance(__lowercase					,			__lowercase   ) else mask_token

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

						lowerCamelCase_				:						str				  =				vocab_file
						lowerCamelCase_				:						str				  =				False if not self.vocab_file else True

					def       lowercase_				(							self					,			__lowercase					,			__lowercase = None   ):







						'''simple docstring'''




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

					def       lowercase_				(							self					,			__lowercase					,			__lowercase = None   ):







						'''simple docstring'''




						lowerCamelCase_				:						str				  =				[self.sep_token_id]
						lowerCamelCase_				:						Dict				  =				[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       lowercase_				(							self					,			__lowercase					,			__lowercase = None   ):







						'''simple docstring'''




						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(__lowercase   ):
							logger.error(f"Vocabulary path ({save_directory}) should be a directory."   )
							return
						lowerCamelCase_				:						List[Any]				  =				os.path.join(
						    __lowercase					,			(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )

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

						return (out_vocab_file,)
