






"""simple docstring"""
import os
import re
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


A_			: Optional[int]				=			logging.get_logger(__name__)
A_			: str				=			{"vocab_file": "spiece.model"}

A_			: Optional[Any]				=			{
    "vocab_file": {
        "google/fnet-base": "https://huggingface.co/google/fnet-base/resolve/main/spiece.model",
        "google/fnet-large": "https://huggingface.co/google/fnet-large/resolve/main/spiece.model",
    },
}

A_			: Tuple				=			{
    "google/fnet-base": 5_12,
    "google/fnet-large": 5_12,
}

A_			: List[Any]				=			"▁"



class 		a_      (	__SCREAMING_SNAKE_CASE ):







      '''simple docstring'''

      lowerCamelCase__       :				Union[str, Any] =	VOCAB_FILES_NAMES
      lowerCamelCase__       :				int =	PRETRAINED_VOCAB_FILES_MAP
      lowerCamelCase__       :				Union[str, Any] =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCamelCase__       :				Dict =	["input_ids", "token_type_ids"]




      def __init__(self,     lowerCamelCase_,     lowerCamelCase_=False,     lowerCamelCase_=True,     lowerCamelCase_=True,     lowerCamelCase_="<unk>",     lowerCamelCase_="[SEP]",     lowerCamelCase_="<pad>",     lowerCamelCase_="[CLS]",     lowerCamelCase_="[MASK]",     lowerCamelCase_ = None,     **lowerCamelCase_,     ):

       '''simple docstring'''



       lowerCamelCase__     :			int     				=						(
           AddedToken(lowerCamelCase_,     lstrip=lowerCamelCase_,     rstrip=lowerCamelCase_,     normalized=lowerCamelCase_					)
           if isinstance(lowerCamelCase_,     lowerCamelCase_					)
           else mask_token
       )

       lowerCamelCase__     :			int     				=						{} if sp_model_kwargs is None else sp_model_kwargs

       super().__init__(
           do_lower_case=lowerCamelCase_,     remove_space=lowerCamelCase_,     keep_accents=lowerCamelCase_,     unk_token=lowerCamelCase_,     sep_token=lowerCamelCase_,     pad_token=lowerCamelCase_,     cls_token=lowerCamelCase_,     mask_token=lowerCamelCase_,     sp_model_kwargs=self.sp_model_kwargs,     **lowerCamelCase_,     )

       lowerCamelCase__     :			Optional[int]     				=						do_lower_case
       lowerCamelCase__     :			str     				=						remove_space
       lowerCamelCase__     :			Optional[Any]     				=						keep_accents
       lowerCamelCase__     :			Tuple     				=						vocab_file

       lowerCamelCase__     :			Union[str, Any]     				=						spm.SentencePieceProcessor(**self.sp_model_kwargs					)
       self.sp_model.Load(lowerCamelCase_					)




      @property
      def 			a__							(self					):

       '''simple docstring'''



       return len(self.sp_model					)




      def 			a__							(self					):

       '''simple docstring'''



       lowerCamelCase__     :			str     				=						{self.convert_ids_to_tokens(lowerCamelCase_					): i for i in range(self.vocab_size					)}
       vocab.update(self.added_tokens_encoder					)
       return vocab




      def __getstate__(self					):

       '''simple docstring'''



       lowerCamelCase__     :			Any     				=						self.__dict__.copy()
       lowerCamelCase__     :			Tuple     				=						None
       return state




      def __setstate__(self,     lowerCamelCase_					):

       '''simple docstring'''



       lowerCamelCase__     :			List[Any]     				=						d

       # for backward compatibility
       if not hasattr(self,     'sp_model_kwargs'					):
        lowerCamelCase__     :			Union[str, Any]     				=						{}

       lowerCamelCase__     :			List[str]     				=						spm.SentencePieceProcessor(**self.sp_model_kwargs					)
       self.sp_model.Load(self.vocab_file					)




      def 			a__							(self,     lowerCamelCase_					):

       '''simple docstring'''



       if self.remove_space:
        lowerCamelCase__     :			Any     				=						''' '''.join(inputs.strip().split()					)
       else:
        lowerCamelCase__     :			Dict     				=						inputs
       lowerCamelCase__     :			Optional[int]     				=						outputs.replace('``',     '"'					).replace('\'\'',     '"'					)

       if not self.keep_accents:
        lowerCamelCase__     :			Dict     				=						unicodedata.normalize('NFKD',     lowerCamelCase_					)
        lowerCamelCase__     :			Tuple     				=						''''''.join([c for c in outputs if not unicodedata.combining(lowerCamelCase_					)]					)
       if self.do_lower_case:
        lowerCamelCase__     :			Optional[Any]     				=						outputs.lower()

       return outputs




      def 			a__							(self,     lowerCamelCase_					):

       '''simple docstring'''



       lowerCamelCase__     :			Any     				=						self.preprocess_text(lowerCamelCase_					)
       lowerCamelCase__     :			List[str]     				=						self.sp_model.encode(lowerCamelCase_,     out_type=lowerCamelCase_					)
       lowerCamelCase__     :			Any     				=						[]
       for piece in pieces:
        if len(lowerCamelCase_					) > 1 and piece[-1] == str(','					) and piece[-2].isdigit():
         lowerCamelCase__     :			Union[str, Any]     				=						self.sp_model.EncodeAsPieces(piece[:-1].replace(lowerCamelCase_,     ''					)					)
         if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
          if len(cur_pieces[0]					) == 1:
           lowerCamelCase__     :			Dict     				=						cur_pieces[1:]
          else:
           lowerCamelCase__     :			List[str]     				=						cur_pieces[0][1:]
         cur_pieces.append(piece[-1]					)
         new_pieces.extend(lowerCamelCase_					)
        else:
         new_pieces.append(lowerCamelCase_					)

       return new_pieces




      def 			a__							(self,     lowerCamelCase_					):

       '''simple docstring'''



       return self.sp_model.PieceToId(lowerCamelCase_					)




      def 			a__							(self,     lowerCamelCase_					):

       '''simple docstring'''



       return self.sp_model.IdToPiece(lowerCamelCase_					)




      def 			a__							(self,     lowerCamelCase_					):

       '''simple docstring'''



       lowerCamelCase__     :			Optional[int]     				=						[]
       lowerCamelCase__     :			Union[str, Any]     				=						''''''
       lowerCamelCase__     :			Dict     				=						False
       for token in tokens:
        # make sure that special tokens are not decoded using sentencepiece model
        if token in self.all_special_tokens:
         if not prev_is_special:
          out_string += " "
         out_string += self.sp_model.decode(lowerCamelCase_					) + token
         lowerCamelCase__     :			Any     				=						True
         lowerCamelCase__     :			List[str]     				=						[]
        else:
         current_sub_tokens.append(lowerCamelCase_					)
         lowerCamelCase__     :			int     				=						False
       out_string += self.sp_model.decode(lowerCamelCase_					)
       return out_string.strip()




      def 			a__							(self,     lowerCamelCase_,     lowerCamelCase_ = False,     lowerCamelCase_ = None,     lowerCamelCase_ = True,     **lowerCamelCase_,     ):

       '''simple docstring'''



       lowerCamelCase__     :			str     				=						kwargs.pop('use_source_tokenizer',     lowerCamelCase_					)

       lowerCamelCase__     :			Optional[Any]     				=						self.convert_ids_to_tokens(lowerCamelCase_,     skip_special_tokens=lowerCamelCase_					)

       # To avoid mixing byte-level and unicode for byte-level BPT
       # we need to build string separately for added tokens and byte-level tokens
       # cf. https://github.com/huggingface/transformers/issues/1133
       lowerCamelCase__     :			Optional[Any]     				=						[]
       lowerCamelCase__     :			Dict     				=						[]
       for token in filtered_tokens:
        if skip_special_tokens and token in self.all_special_ids:
         continue
        if token in self.added_tokens_encoder:
         if current_sub_text:
          sub_texts.append(self.convert_tokens_to_string(lowerCamelCase_					)					)
          lowerCamelCase__     :			Optional[int]     				=						[]
         sub_texts.append(lowerCamelCase_					)
        else:
         current_sub_text.append(lowerCamelCase_					)
       if current_sub_text:
        sub_texts.append(self.convert_tokens_to_string(lowerCamelCase_					)					)

       # Mimic the behavior of the Rust tokenizer:
       # No space after <unk>
       if spaces_between_special_tokens:
        lowerCamelCase__     :			str     				=						re.sub(r'(<unk>) ',     r'\1',     ' '.join(lowerCamelCase_					)					)
       else:
        lowerCamelCase__     :			Union[str, Any]     				=						''''''.join(lowerCamelCase_					)

       lowerCamelCase__     :			List[Any]     				=						(
           clean_up_tokenization_spaces
           if clean_up_tokenization_spaces is not None
           else self.clean_up_tokenization_spaces
       )
       if clean_up_tokenization_spaces:
        lowerCamelCase__     :			str     				=						self.clean_up_tokenization(lowerCamelCase_					)
        return clean_text
       else:
        return text




      def 			a__							(self,     lowerCamelCase_,     lowerCamelCase_ = None					):

       '''simple docstring'''



       lowerCamelCase__     :			Optional[int]     				=						[self.sep_token_id]
       lowerCamelCase__     :			Dict     				=						[self.cls_token_id]
       if token_ids_a is None:
        return cls + token_ids_a + sep
       return cls + token_ids_a + sep + token_ids_a + sep




      def 			a__							(self,     lowerCamelCase_,     lowerCamelCase_ = None,     lowerCamelCase_ = False					):

       '''simple docstring'''



       if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=lowerCamelCase_,     token_ids_a=lowerCamelCase_,     already_has_special_tokens=lowerCamelCase_					)

       if token_ids_a is not None:
        return [1] + ([0] * len(lowerCamelCase_					)) + [1] + ([0] * len(lowerCamelCase_					)) + [1]
       return [1] + ([0] * len(lowerCamelCase_					)) + [1]




      def 			a__							(self,     lowerCamelCase_,     lowerCamelCase_ = None					):

       '''simple docstring'''



       lowerCamelCase__     :			List[Any]     				=						[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					) * [0] + len(token_ids_a + sep					) * [1]





      def 			a__							(self,     lowerCamelCase_,     lowerCamelCase_ = None					):

       '''simple docstring'''



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

       if os.path.abspath(self.vocab_file					) != os.path.abspath(lowerCamelCase_					) and os.path.isfile(self.vocab_file					):
        copyfile(self.vocab_file,     lowerCamelCase_					)
       elif not os.path.isfile(self.vocab_file					):
        with open(lowerCamelCase_,     'wb'					) as fi:
         lowerCamelCase__     :			Optional[Any]     				=						self.sp_model.serialized_model_proto()
         fi.write(lowerCamelCase_					)

       return (out_vocab_file,)







import random
import sys

from . import cryptomath_module as cryptomath

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







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase,	UpperCAmelCase       )  ->None:






					"""simple docstring"""






					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(UpperCAmelCase       ) - 1:
										sys.exit(
										    '''Key A must be greater than 0 and key B must '''
										    F'''be between 0 and {len(UpperCAmelCase       ) - 1}.'''       )
					if cryptomath.gcd(UpperCAmelCase,	len(UpperCAmelCase       )       ) != 1:
										sys.exit(
										    F'''Key A {key_a} and the symbol set size {len(UpperCAmelCase       )} '''
										    '''are not relatively prime. Choose a different key.'''       )







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->str:






					"""simple docstring"""






					__magic_name__   , __magic_name__					:							str		   =							divmod(UpperCAmelCase,	len(UpperCAmelCase       )       )
					check_keys(UpperCAmelCase,	UpperCAmelCase,	'''encrypt'''       )
					__magic_name__					:							Dict		   =							''''''
					for symbol in message:
										if symbol in SYMBOLS:
															__magic_name__					:							Union[str, Any]		   =							SYMBOLS.find(UpperCAmelCase       )
															cipher_text += SYMBOLS[(sym_index * key_a + key_b) % len(UpperCAmelCase       )]
										else:
															cipher_text += symbol
					return cipher_text







def  lowerCAmelCase  (	UpperCAmelCase,	UpperCAmelCase       )  ->str:






					"""simple docstring"""






					__magic_name__   , __magic_name__					:							List[str]		   =							divmod(UpperCAmelCase,	len(UpperCAmelCase       )       )
					check_keys(UpperCAmelCase,	UpperCAmelCase,	'''decrypt'''       )
					__magic_name__					:							Union[str, Any]		   =							''''''
					__magic_name__					:							int		   =							cryptomath.find_mod_inverse(UpperCAmelCase,	len(UpperCAmelCase       )       )
					for symbol in message:
										if symbol in SYMBOLS:
															__magic_name__					:							Optional[Any]		   =							SYMBOLS.find(UpperCAmelCase       )
															plain_text += SYMBOLS[
															    (sym_index - key_b) * mod_inverse_of_key_a % len(UpperCAmelCase       )
															]
										else:
															plain_text += symbol
					return plain_text







def  lowerCAmelCase  (	)  ->int:






					"""simple docstring"""






					while True:
										__magic_name__					:							List[Any]		   =							random.randint(2,	len(UpperCAmelCase       )       )
										__magic_name__					:							int		   =							random.randint(2,	len(UpperCAmelCase       )       )
										if cryptomath.gcd(UpperCAmelCase,	len(UpperCAmelCase       )       ) == 1 and key_b % len(UpperCAmelCase       ) != 0:
															return key_b * len(UpperCAmelCase       ) + key_b







def  lowerCAmelCase  (	)  ->None:






					"""simple docstring"""






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

					if mode.startswith('''e'''       ):
										__magic_name__					:							Any		   =							'''encrypt'''
										__magic_name__					:							Any		   =							encrypt_message(UpperCAmelCase,	UpperCAmelCase       )
					elif mode.startswith('''d'''       ):
										__magic_name__					:							Optional[Any]		   =							'''decrypt'''
										__magic_name__					:							Union[str, Any]		   =							decrypt_message(UpperCAmelCase,	UpperCAmelCase       )
					print(F'''\n{mode.title()}ed text: \n{translated}'''       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				# main()



