




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


lowercase_		=							logging.get_logger(__name__)
lowercase_		=							{'''vocab_file''': '''spiece.model'''}

lowercase_		=							{
    '''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''',
    },
}

lowercase_		=							{
    '''google/fnet-base''': 512,
    '''google/fnet-large''': 512,
}

lowercase_		=							'''▁'''





class 		A__				(   __SCREAMING_SNAKE_CASE ):
	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				,     )      ->   None:




						"""simple docstring"""






						__magic_name__					:							int		   =							(
						    AddedToken(lowerCamelCase				,     lstrip=lowerCamelCase				,     rstrip=lowerCamelCase				,     normalized=lowerCamelCase						)
						    if isinstance(lowerCamelCase				,     lowerCamelCase						)
						    else mask_token
						)

						__magic_name__					:							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				,     )

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

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






	@property
	def  lowercase      (	self						)      ->   Union[str, Any]:




						"""simple docstring"""






						return len(self.sp_model						)






	def  lowercase      (	self						)      ->   List[str]:




						"""simple docstring"""






						__magic_name__					:							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						)      ->   Optional[Any]:




						"""simple docstring"""






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






	def __setstate__(	self				,     lowerCamelCase						)      ->   Dict:




						"""simple docstring"""






						__magic_name__					:							List[Any]		   =							d

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

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






	def  lowercase      (	self				,     lowerCamelCase						)      ->   Optional[Any]:




						"""simple docstring"""






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

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

						return outputs






	def  lowercase      (	self				,     lowerCamelCase						)      ->   List[str]:




						"""simple docstring"""






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

						return new_pieces






	def  lowercase      (	self				,     lowerCamelCase						)      ->   Union[str, Any]:




						"""simple docstring"""






						return self.sp_model.PieceToId(lowerCamelCase						)






	def  lowercase      (	self				,     lowerCamelCase						)      ->   Optional[int]:




						"""simple docstring"""






						return self.sp_model.IdToPiece(lowerCamelCase						)






	def  lowercase      (	self				,     lowerCamelCase						)      ->   List[str]:




						"""simple docstring"""






						__magic_name__					:							Optional[int]		   =							[]
						__magic_name__					:							Union[str, Any]		   =							''''''
						__magic_name__					:							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
																__magic_name__					:							Any		   =							True
																__magic_name__					:							List[str]		   =							[]
											else:
																current_sub_tokens.append(lowerCamelCase						)
																__magic_name__					:							int		   =							False
						out_string += self.sp_model.decode(lowerCamelCase						)
						return out_string.strip()






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase = False				,     lowerCamelCase = None				,     lowerCamelCase = True				,     **lowerCamelCase				,     )      ->   str:




						"""simple docstring"""






						__magic_name__					:							str		   =							kwargs.pop('''use_source_tokenizer'''				,     lowerCamelCase						)

						__magic_name__					:							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
						__magic_name__					:							Optional[Any]		   =							[]
						__magic_name__					:							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						)						)
																					__magic_name__					:							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:
											__magic_name__					:							str		   =							re.sub(R'''(<unk>) '''				,     R'''\1'''				,     ''' '''.join(lowerCamelCase						)						)
						else:
											__magic_name__					:							Union[str, Any]		   =							''''''.join(lowerCamelCase						)

						__magic_name__					:							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:
											__magic_name__					:							str		   =							self.clean_up_tokenization(lowerCamelCase						)
											return clean_text
						else:
											return text






	def  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase = None						)      ->   List[int]:




						"""simple docstring"""






						__magic_name__					:							Optional[int]		   =							[self.sep_token_id]
						__magic_name__					:							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  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase = None				,     lowerCamelCase = False						)      ->   List[int]:




						"""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  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase = None						)      ->   List[int]:




						"""simple docstring"""






						__magic_name__					:							List[Any]		   =							[self.sep_token_id]
						__magic_name__					:							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  lowercase      (	self				,     lowerCamelCase				,     lowerCamelCase = None						)      ->   Tuple[str]:




						"""simple docstring"""






						if not os.path.isdir(lowerCamelCase						):
											logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''						)
											return
						__magic_name__					:							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:
																__magic_name__					:							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()



