
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


_snake_case			:       Optional[Any]      =						logging.get_logger(__name__)
_snake_case			:       Tuple      =						{"vocab_file": "spiece.model"}

_snake_case			:       Union[str, 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",
    },
}

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

_snake_case			:       Optional[int]      =						"▁"





class      UpperCamelCase_			(			__a		):







						'''simple docstring'''



						UpperCamelCase			:     Tuple							      =				VOCAB_FILES_NAMES
						UpperCamelCase			:     List[Any]							      =				PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase			:     Optional[int]							      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase			:     str							      =				['''input_ids''', '''token_type_ids''']





						def __init__( self       :List[Any]		,						lowerCAmelCase__       :Dict		,						lowerCAmelCase__       :List[Any]=False		,						lowerCAmelCase__       :Tuple=True		,						lowerCAmelCase__       :Tuple=True		,						lowerCAmelCase__       :Optional[Any]="<unk>"		,						lowerCAmelCase__       :Union[str, Any]="[SEP]"		,						lowerCAmelCase__       :str="<pad>"		,						lowerCAmelCase__       :Tuple="[CLS]"		,						lowerCAmelCase__       :str="[MASK]"		,						lowerCAmelCase__       :Optional[Dict[str, Any]] = None		,						**lowerCAmelCase__       :List[str]		,						)     ->None:
										# Mask token behave like a normal word, i.e. include the space before it and
										# is included in the raw text, there should be a match in a non-normalized sentence.
										lowercase						    =			(
										    AddedToken(lowerCAmelCase__		,						lstrip=lowerCAmelCase__		,						rstrip=lowerCAmelCase__		,						normalized=lowerCAmelCase__    )
										    if isinstance(lowerCAmelCase__		,						lowerCAmelCase__    )
										    else mask_token
										)

										lowercase						    =			{} 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__		,						)

										lowercase						    =			do_lower_case
										lowercase						    =			remove_space
										lowercase						    =			keep_accents
										lowercase						    =			vocab_file

										lowercase						    =			spm.SentencePieceProcessor(**self.sp_model_kwargs    )
										self.sp_model.Load(lowerCAmelCase__    )





						@property
						def 					SCREAMING_SNAKE_CASE( self       :int    )     ->List[str]:
										return len(self.sp_model    )





						def 					SCREAMING_SNAKE_CASE( self       :Any    )     ->Any:
										lowercase						    =			{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       :Any    )     ->List[str]:
										lowercase						    =			self.__dict__.copy()
										lowercase						    =			None
										return state





						def __setstate__( self       :str		,						lowerCAmelCase__       :Optional[int]    )     ->Tuple:
										lowercase						    =			d

										# for backward compatibility
										if not hasattr(self		,						"sp_model_kwargs"    ):
														lowercase						    =			{}

										lowercase						    =			spm.SentencePieceProcessor(**self.sp_model_kwargs    )
										self.sp_model.Load(self.vocab_file    )





						def 					SCREAMING_SNAKE_CASE( self       :Union[str, Any]		,						lowerCAmelCase__       :List[Any]    )     ->int:
										if self.remove_space:
														lowercase						    =			" ".join(inputs.strip().split()    )
										else:
														lowercase						    =			inputs
										lowercase						    =			outputs.replace("``"		,						"\""    ).replace("''"		,						"\""    )

										if not self.keep_accents:
														lowercase						    =			unicodedata.normalize("NFKD"		,						lowerCAmelCase__    )
														lowercase						    =			"".join([c for c in outputs if not unicodedata.combining(lowerCAmelCase__    )]    )
										if self.do_lower_case:
														lowercase						    =			outputs.lower()

										return outputs





						def 					SCREAMING_SNAKE_CASE( self       :Tuple		,						lowerCAmelCase__       :str    )     ->List[str]:
										lowercase						    =			self.preprocess_text(lowerCAmelCase__    )
										lowercase						    =			self.sp_model.encode(lowerCAmelCase__		,						out_type=lowerCAmelCase__    )
										lowercase						    =			[]
										for piece in pieces:
														if len(lowerCAmelCase__    ) > 1 and piece[-1] == str(","    ) and piece[-2].isdigit():
																		lowercase						    =			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:
																										lowercase						    =			cur_pieces[1:]
																						else:
																										lowercase						    =			cur_pieces[0][1:]
																		cur_pieces.append(piece[-1]    )
																		new_pieces.extend(lowerCAmelCase__    )
														else:
																		new_pieces.append(lowerCAmelCase__    )

										return new_pieces





						def 					SCREAMING_SNAKE_CASE( self       :Optional[int]		,						lowerCAmelCase__       :List[Any]    )     ->List[Any]:
										return self.sp_model.PieceToId(lowerCAmelCase__    )





						def 					SCREAMING_SNAKE_CASE( self       :Tuple		,						lowerCAmelCase__       :int    )     ->Optional[int]:
										return self.sp_model.IdToPiece(lowerCAmelCase__    )





						def 					SCREAMING_SNAKE_CASE( self       :Tuple		,						lowerCAmelCase__       :Tuple    )     ->Dict:
										lowercase						    =			[]
										lowercase						    =			""
										lowercase						    =			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
																		lowercase						    =			True
																		lowercase						    =			[]
														else:
																		current_sub_tokens.append(lowerCAmelCase__    )
																		lowercase						    =			False
										out_string += self.sp_model.decode(lowerCAmelCase__    )
										return out_string.strip()





						def 					SCREAMING_SNAKE_CASE( self       :List[Any]		,						lowerCAmelCase__       :List[int]		,						lowerCAmelCase__       :bool = False		,						lowerCAmelCase__       :bool = None		,						lowerCAmelCase__       :bool = True		,						**lowerCAmelCase__       :List[str]		,						)     ->str:
										lowercase						    =			kwargs.pop("use_source_tokenizer"		,						lowerCAmelCase__    )

										lowercase						    =			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
										lowercase						    =			[]
										lowercase						    =			[]
										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__    )    )
																						lowercase						    =			[]
																		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:
														lowercase						    =			re.sub(r"(<unk>) "		,						r"\1"		,						" ".join(lowerCAmelCase__    )    )
										else:
														lowercase						    =			"".join(lowerCAmelCase__    )

										lowercase						    =			(
										    clean_up_tokenization_spaces
										    if clean_up_tokenization_spaces is not None
										    else self.clean_up_tokenization_spaces
										)
										if clean_up_tokenization_spaces:
														lowercase						    =			self.clean_up_tokenization(lowerCAmelCase__    )
														return clean_text
										else:
														return text





						def 					SCREAMING_SNAKE_CASE( self       :str		,						lowerCAmelCase__       :List[int]		,						lowerCAmelCase__       :Optional[List[int]] = None    )     ->List[int]:
										lowercase						    =			[self.sep_token_id]
										lowercase						    =			[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 					SCREAMING_SNAKE_CASE( self       :Tuple		,						lowerCAmelCase__       :List[int]		,						lowerCAmelCase__       :Optional[List[int]] = None		,						lowerCAmelCase__       :bool = False    )     ->List[int]:

										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 					SCREAMING_SNAKE_CASE( self       :Dict		,						lowerCAmelCase__       :List[int]		,						lowerCAmelCase__       :Optional[List[int]] = None    )     ->List[int]:
										lowercase						    =			[self.sep_token_id]
										lowercase						    =			[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 					SCREAMING_SNAKE_CASE( self       :Tuple		,						lowerCAmelCase__       :str		,						lowerCAmelCase__       :Optional[str] = None    )     ->Tuple[str]:
										if not os.path.isdir(lowerCAmelCase__    ):
														logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''    )
														return
										lowercase						    =			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:
																		lowercase						    =			self.sp_model.serialized_model_proto()
																		fi.write(lowerCAmelCase__    )

										return (out_vocab_file,)


from __future__ import annotations

import random
import string





class      UpperCamelCase_			:







						'''simple docstring'''



						def __init__( self       :Dict		,						lowerCAmelCase__       :str | None = None    )     ->None:
										lowercase						    =			passcode or self.__passcode_creator()
										lowercase						    =			self.__make_key_list()
										lowercase						    =			self.__make_shift_key()





						def __str__( self       :Dict    )     ->str:
										return "".join(self.__passcode    )





						def 					SCREAMING_SNAKE_CASE( self       :str		,						lowerCAmelCase__       :list[int]    )     ->list[int]:
										for i in range(1		,						len(lowerCAmelCase__    )		,						2    ):
														iterlist[i] *= -1
										return iterlist





						def 					SCREAMING_SNAKE_CASE( self       :int    )     ->list[str]:
										lowercase						    =			string.ascii_letters + string.digits
										lowercase						    =			[random.choice(lowerCAmelCase__    ) for _ in range(random.randint(10		,						20    )    )]
										return password





						def 					SCREAMING_SNAKE_CASE( self       :Union[str, Any]    )     ->list[str]:
										lowercase						    =			(
										    string.ascii_letters + string.digits + string.punctuation + " \t\n"
										)

										lowercase						    =			[]

										# creates points known as breakpoints to break the key_list_options at those
										# points and pivot each substring
										lowercase						    =			sorted(set(self.__passcode    )    )
										lowercase						    =			[]

										# algorithm for creating a new shuffled list, keys_l, out of key_list_options
										for i in key_list_options:
														temp_list.extend(lowerCAmelCase__    )

														# checking breakpoints at which to pivot temporary sublist and add it into
														# keys_l
														if i in breakpoints or i == key_list_options[-1]:
																		keys_l.extend(temp_list[::-1]    )
																		temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
										return keys_l





						def 					SCREAMING_SNAKE_CASE( self       :Optional[int]    )     ->int:
										lowercase						    =			sum(self.__neg_pos([ord(lowerCAmelCase__    ) for x in self.__passcode]    )    )
										return num if num > 0 else len(self.__passcode    )





						def 					SCREAMING_SNAKE_CASE( self       :str		,						lowerCAmelCase__       :str    )     ->str:
										lowercase						    =			""

										# decoding shift like Caesar cipher algorithm implementing negative shift or
										# reverse shift or left shift
										for i in encoded_message:
														lowercase						    =			self.__key_list.index(lowerCAmelCase__    )
														decoded_message += self.__key_list[
														    (position - self.__shift_key) % -len(self.__key_list    )
														]

										return decoded_message





						def 					SCREAMING_SNAKE_CASE( self       :Dict		,						lowerCAmelCase__       :str    )     ->str:
										lowercase						    =			""

										# encoding shift like Caesar cipher algorithm implementing positive shift or
										# forward shift or right shift
										for i in plaintext:
														lowercase						    =			self.__key_list.index(lowerCAmelCase__    )
														encoded_message += self.__key_list[
														    (position + self.__shift_key) % len(self.__key_list    )
														]

										return encoded_message




def    __snake_case       (  __magic_name__ = "Hello, this is a modified Caesar cipher"	):







				'''simple docstring'''


				lowercase						    =			ShuffledShiftCipher()
				return cipa.decrypt(cipa.encrypt(__magic_name__	)	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
