


import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_SCREAMING_SNAKE_CASE       :   List[str]        = logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE       :   Optional[Any]        = {
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

_SCREAMING_SNAKE_CASE       :   Optional[Any]        = {
    "src_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"
    },
    "tgt_vocab_file": {
        "stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"
    },
    "merges_file": {"stas/tiny-wmt19-en-de": "https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"},
}

_SCREAMING_SNAKE_CASE       :   str        = {"stas/tiny-wmt19-en-de": 10_24}
_SCREAMING_SNAKE_CASE       :   Optional[int]        = {
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 10_24,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}



def 						_UpperCamelCase							( UpperCamelCase__		):






				"""simple docstring"""



				__magic_name__				:					Union[str, Any]						       =       set()
				__magic_name__				:					Tuple						       =       word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)		)
								__magic_name__				:					str						       =       char
				return pairs



def 						_UpperCamelCase							( UpperCamelCase__		):






				"""simple docstring"""



				__magic_name__				:					List[Any]						       =       text.replace("，"     ,   ","		)
				__magic_name__				:					Tuple						       =       re.sub(R"。\s*"     ,   ". "     ,   UpperCamelCase__		)
				__magic_name__				:					str						       =       text.replace("、"     ,   ","		)
				__magic_name__				:					int						       =       text.replace("”"     ,   "\""		)
				__magic_name__				:					Union[str, Any]						       =       text.replace("“"     ,   "\""		)
				__magic_name__				:					int						       =       text.replace("∶"     ,   ":"		)
				__magic_name__				:					Tuple						       =       text.replace("："     ,   ":"		)
				__magic_name__				:					List[str]						       =       text.replace("？"     ,   "?"		)
				__magic_name__				:					str						       =       text.replace("《"     ,   "\""		)
				__magic_name__				:					Union[str, Any]						       =       text.replace("》"     ,   "\""		)
				__magic_name__				:					Any						       =       text.replace("）"     ,   ")"		)
				__magic_name__				:					Any						       =       text.replace("！"     ,   "!"		)
				__magic_name__				:					List[str]						       =       text.replace("（"     ,   "("		)
				__magic_name__				:					List[str]						       =       text.replace("；"     ,   ";"		)
				__magic_name__				:					Any						       =       text.replace("１"     ,   "1"		)
				__magic_name__				:					int						       =       text.replace("」"     ,   "\""		)
				__magic_name__				:					List[Any]						       =       text.replace("「"     ,   "\""		)
				__magic_name__				:					List[Any]						       =       text.replace("０"     ,   "0"		)
				__magic_name__				:					str						       =       text.replace("３"     ,   "3"		)
				__magic_name__				:					Any						       =       text.replace("２"     ,   "2"		)
				__magic_name__				:					str						       =       text.replace("５"     ,   "5"		)
				__magic_name__				:					Dict						       =       text.replace("６"     ,   "6"		)
				__magic_name__				:					Optional[Any]						       =       text.replace("９"     ,   "9"		)
				__magic_name__				:					int						       =       text.replace("７"     ,   "7"		)
				__magic_name__				:					Tuple						       =       text.replace("８"     ,   "8"		)
				__magic_name__				:					Union[str, Any]						       =       text.replace("４"     ,   "4"		)
				__magic_name__				:					int						       =       re.sub(R"．\s*"     ,   ". "     ,   UpperCamelCase__		)
				__magic_name__				:					Union[str, Any]						       =       text.replace("～"     ,   "~"		)
				__magic_name__				:					Optional[Any]						       =       text.replace("’"     ,   "'"		)
				__magic_name__				:					Union[str, Any]						       =       text.replace("…"     ,   "..."		)
				__magic_name__				:					int						       =       text.replace("━"     ,   "-"		)
				__magic_name__				:					Union[str, Any]						       =       text.replace("〈"     ,   "<"		)
				__magic_name__				:					List[str]						       =       text.replace("〉"     ,   ">"		)
				__magic_name__				:					List[str]						       =       text.replace("【"     ,   "["		)
				__magic_name__				:					List[str]						       =       text.replace("】"     ,   "]"		)
				__magic_name__				:					Optional[int]						       =       text.replace("％"     ,   "%"		)
				return text



def 						_UpperCamelCase							( UpperCamelCase__		):






				"""simple docstring"""



				__magic_name__				:					Any						       =       []
				for char in text:
								__magic_name__				:					str						       =       unicodedata.category(UpperCamelCase__		)
								if cat.startswith("C"		):
												continue
								output.append(UpperCamelCase__		)
				return "".join(UpperCamelCase__		)






class 		_snake_case    (				snake_case_		):






						'''simple docstring'''







						__snake_case   =      VOCAB_FILES_NAMES
						__snake_case   =      PRETRAINED_VOCAB_FILES_MAP
						__snake_case   =      PRETRAINED_INIT_CONFIGURATION
						__snake_case   =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__snake_case   =      ["input_ids", "attention_mask"]







						def __init__(  self:	Tuple      ,							__UpperCamelCase:	Optional[int]=None      ,							__UpperCamelCase:	int=None      ,							__UpperCamelCase:	Tuple=None      ,							__UpperCamelCase:	List[Any]=None      ,							__UpperCamelCase:	str=False      ,							__UpperCamelCase:	Union[str, Any]="<unk>"      ,							__UpperCamelCase:	Dict="<s>"      ,							__UpperCamelCase:	List[str]="</s>"      ,							__UpperCamelCase:	List[str]="<pad>"      ,							**__UpperCamelCase:	List[Any]      ,							)							->	List[Any]:
										super().__init__(
										    langs=__UpperCamelCase      ,							src_vocab_file=__UpperCamelCase      ,							tgt_vocab_file=__UpperCamelCase      ,							merges_file=__UpperCamelCase      ,							do_lower_case=__UpperCamelCase      ,							unk_token=__UpperCamelCase      ,							bos_token=__UpperCamelCase      ,							sep_token=__UpperCamelCase      ,							pad_token=__UpperCamelCase      ,							**__UpperCamelCase      ,							)

										try:
														import sacremoses
										except ImportError:
														raise ImportError(
														    "You need to install sacremoses to use XLMTokenizer. "
														    "See https://pypi.org/project/sacremoses/ for installation."     )

										__magic_name__				:					int						       =       sacremoses

										__magic_name__				:					Union[str, Any]						       =       src_vocab_file
										__magic_name__				:					List[Any]						       =       tgt_vocab_file
										__magic_name__				:					str						       =       merges_file
										__magic_name__				:					str						       =       do_lower_case

										# cache of sm.MosesPunctNormalizer instance
										__magic_name__				:					int						       =       {}
										# cache of sm.MosesTokenizer instance
										__magic_name__				:					List[str]						       =       {}
										__magic_name__				:					Union[str, Any]						       =       {}

										if langs and len(__UpperCamelCase     ) == 2:
														__magic_name__				:					Tuple						       =       langs
										else:
														raise ValueError(
														    f"""arg `langs` needs to be a list of 2 langs, e.g. ['en', 'ru'], but got {langs}. """
														    "Usually that means that tokenizer can't find a mapping for the given model path "
														    "in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."     )

										with open(__UpperCamelCase      ,							encoding="utf-8"     ) as src_vocab_handle:
														__magic_name__				:					Dict						       =       json.load(__UpperCamelCase     )
										with open(__UpperCamelCase      ,							encoding="utf-8"     ) as tgt_vocab_handle:
														__magic_name__				:					Union[str, Any]						       =       json.load(__UpperCamelCase     )
														__magic_name__				:					Dict						       =       {v: k for k, v in tgt_vocab.items()}
										with open(__UpperCamelCase      ,							encoding="utf-8"     ) as merges_handle:
														__magic_name__				:					Any						       =       merges_handle.read().split("\n"     )[:-1]
										__magic_name__				:					Union[str, Any]						       =       [tuple(merge.split()[:2]     ) for merge in merges]
										__magic_name__				:					Optional[int]						       =       dict(zip(__UpperCamelCase      ,							range(len(__UpperCamelCase     )     )     )     )
										__magic_name__				:					Tuple						       =       {}







						def lowerCAmelCase__ (  self:	Tuple     )							->	Dict[str, int]:
										return self.get_src_vocab()







						@property
						def lowerCAmelCase__ (  self:	int     )							->	int:
										return self.src_vocab_size







						def lowerCAmelCase__ (  self:	Optional[int]      ,							__UpperCamelCase:	Optional[int]      ,							__UpperCamelCase:	Union[str, Any]     )							->	str:
										if lang not in self.cache_moses_punct_normalizer:
														__magic_name__				:					Optional[int]						       =       self.sm.MosesPunctNormalizer(lang=__UpperCamelCase     )
														__magic_name__				:					Dict						       =       punct_normalizer
										return self.cache_moses_punct_normalizer[lang].normalize(__UpperCamelCase     )







						def lowerCAmelCase__ (  self:	int      ,							__UpperCamelCase:	int      ,							__UpperCamelCase:	List[Any]     )							->	List[Any]:
										if lang not in self.cache_moses_tokenizer:
														__magic_name__				:					Any						       =       self.sm.MosesTokenizer(lang=__UpperCamelCase     )
														__magic_name__				:					Optional[Any]						       =       moses_tokenizer
										return self.cache_moses_tokenizer[lang].tokenize(
										    __UpperCamelCase      ,							aggressive_dash_splits=__UpperCamelCase      ,							return_str=__UpperCamelCase      ,							escape=__UpperCamelCase     )







						def lowerCAmelCase__ (  self:	Dict      ,							__UpperCamelCase:	Optional[int]      ,							__UpperCamelCase:	int     )							->	List[Any]:
										if lang not in self.cache_moses_detokenizer:
														__magic_name__				:					Dict						       =       self.sm.MosesDetokenizer(lang=__UpperCamelCase     )
														__magic_name__				:					str						       =       moses_detokenizer
										return self.cache_moses_detokenizer[lang].detokenize(__UpperCamelCase     )







						def lowerCAmelCase__ (  self:	str      ,							__UpperCamelCase:	Union[str, Any]      ,							__UpperCamelCase:	List[str]     )							->	Tuple:
										__magic_name__				:					Optional[Any]						       =       replace_unicode_punct(__UpperCamelCase     )
										__magic_name__				:					Union[str, Any]						       =       self.moses_punct_norm(__UpperCamelCase      ,							__UpperCamelCase     )
										__magic_name__				:					str						       =       remove_non_printing_char(__UpperCamelCase     )
										return text







						@property
						def lowerCAmelCase__ (  self:	Union[str, Any]     )							->	Tuple:
										return len(self.encoder     )







						@property
						def lowerCAmelCase__ (  self:	Dict     )							->	Optional[Any]:
										return len(self.decoder     )







						def lowerCAmelCase__ (  self:	Union[str, Any]     )							->	Tuple:
										return dict(self.encoder      ,							**self.added_tokens_encoder     )







						def lowerCAmelCase__ (  self:	Dict     )							->	Any:
										return dict(self.decoder      ,							**self.added_tokens_decoder     )







						def lowerCAmelCase__ (  self:	int      ,							__UpperCamelCase:	Union[str, Any]     )							->	Optional[int]:
										__magic_name__				:					str						       =       tuple(token[:-1]     ) + (token[-1] + "</w>",)
										if token in self.cache:
														return self.cache[token]
										__magic_name__				:					List[str]						       =       get_pairs(__UpperCamelCase     )

										if not pairs:
														return token + "</w>"

										while True:
														__magic_name__				:					Tuple						       =       min(__UpperCamelCase      ,							key=lambda __UpperCamelCase     : self.bpe_ranks.get(__UpperCamelCase      ,							float("inf"     )     )     )
														if bigram not in self.bpe_ranks:
																		break
														__magic_name__				:					Tuple						       =       bigram
														__magic_name__				:					Union[str, Any]						       =       []
														__magic_name__				:					Optional[Any]						       =       0
														while i < len(__UpperCamelCase     ):
																		try:
																						__magic_name__				:					int						       =       word.index(__UpperCamelCase      ,							__UpperCamelCase     )
																		except ValueError:
																						new_word.extend(word[i:]     )
																						break
																		else:
																						new_word.extend(word[i:j]     )
																						__magic_name__				:					Optional[int]						       =       j

																		if word[i] == first and i < len(__UpperCamelCase     ) - 1 and word[i + 1] == second:
																						new_word.append(first + second     )
																						i += 2
																		else:
																						new_word.append(word[i]     )
																						i += 1
														__magic_name__				:					Optional[Any]						       =       tuple(__UpperCamelCase     )
														__magic_name__				:					List[Any]						       =       new_word
														if len(__UpperCamelCase     ) == 1:
																		break
														else:
																		__magic_name__				:					Optional[int]						       =       get_pairs(__UpperCamelCase     )
										__magic_name__				:					List[Any]						       =       " ".join(__UpperCamelCase     )
										if word == "\n  </w>":
														__magic_name__				:					Any						       =       "\n</w>"
										__magic_name__				:					Optional[Any]						       =       word
										return word







						def lowerCAmelCase__ (  self:	Optional[Any]      ,							__UpperCamelCase:	Optional[Any]      ,							__UpperCamelCase:	Dict="en"      ,							__UpperCamelCase:	Dict=False     )							->	Optional[int]:
										__magic_name__				:					Any						       =       self.src_lang

										if self.do_lower_case:
														__magic_name__				:					Union[str, Any]						       =       text.lower()

										if bypass_tokenizer:
														__magic_name__				:					List[str]						       =       text.split()
										else:
														__magic_name__				:					Any						       =       self.moses_pipeline(__UpperCamelCase      ,							lang=__UpperCamelCase     )
														__magic_name__				:					int						       =       self.moses_tokenize(__UpperCamelCase      ,							lang=__UpperCamelCase     )

										__magic_name__				:					Optional[int]						       =       []
										for token in text:
														if token:
																		split_tokens.extend(list(self.bpe(__UpperCamelCase     ).split(" "     )     )     )

										return split_tokens







						def lowerCAmelCase__ (  self:	List[Any]      ,							__UpperCamelCase:	Dict     )							->	List[Any]:
										return self.encoder.get(__UpperCamelCase      ,							self.encoder.get(self.unk_token     )     )







						def lowerCAmelCase__ (  self:	Optional[int]      ,							__UpperCamelCase:	Dict     )							->	int:
										return self.decoder.get(__UpperCamelCase      ,							self.unk_token     )







						def lowerCAmelCase__ (  self:	Optional[Any]      ,							__UpperCamelCase:	List[Any]     )							->	Optional[int]:
										__magic_name__				:					List[str]						       =       [t.replace(" "      ,							""     ).replace("</w>"      ,							" "     ) for t in tokens]
										__magic_name__				:					List[Any]						       =       "".join(__UpperCamelCase     ).split()
										# detokenize
										__magic_name__				:					Union[str, Any]						       =       self.moses_detokenize(__UpperCamelCase      ,							self.tgt_lang     )
										return text







						def lowerCAmelCase__ (  self:	str      ,							__UpperCamelCase:	List[int]      ,							__UpperCamelCase:	Optional[List[int]] = None     )							->	List[int]:
										__magic_name__				:					int						       =       [self.sep_token_id]

										# no bos used in fairseq
										if token_ids_a is None:
														return token_ids_a + sep
										return token_ids_a + sep + token_ids_a + sep







						def lowerCAmelCase__ (  self:	Tuple      ,							__UpperCamelCase:	List[int]      ,							__UpperCamelCase:	Optional[List[int]] = None      ,							__UpperCamelCase:	bool = False     )							->	List[int]:

										if already_has_special_tokens:
														return super().get_special_tokens_mask(
														    token_ids_a=__UpperCamelCase      ,							token_ids_a=__UpperCamelCase      ,							already_has_special_tokens=__UpperCamelCase     )
										# no bos used in fairseq
										if token_ids_a is not None:
														return ([0] * len(__UpperCamelCase     )) + [1] + ([0] * len(__UpperCamelCase     )) + [1]
										return ([0] * len(__UpperCamelCase     )) + [1]







						def lowerCAmelCase__ (  self:	List[Any]      ,							__UpperCamelCase:	List[int]      ,							__UpperCamelCase:	Optional[List[int]] = None     )							->	List[int]:
										__magic_name__				:					Union[str, Any]						       =       [self.sep_token_id]

										# no bos used in fairseq
										if token_ids_a is None:
														return len(token_ids_a + sep     ) * [0]
										return len(token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]







						def lowerCAmelCase__ (  self:	Any      ,							__UpperCamelCase:	str      ,							__UpperCamelCase:	Optional[str] = None     )							->	Tuple[str]:
										if not os.path.isdir(__UpperCamelCase     ):
														logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
														return

										__magic_name__				:					Optional[int]						       =       os.path.join(
										    __UpperCamelCase      ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"]     )
										__magic_name__				:					Optional[int]						       =       os.path.join(
										    __UpperCamelCase      ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"]     )
										__magic_name__				:					Any						       =       os.path.join(
										    __UpperCamelCase      ,							(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]     )

										with open(__UpperCamelCase      ,							"w"      ,							encoding="utf-8"     ) as f:
														f.write(json.dumps(self.encoder      ,							indent=2      ,							sort_keys=__UpperCamelCase      ,							ensure_ascii=__UpperCamelCase     ) + "\n"     )

										with open(__UpperCamelCase      ,							"w"      ,							encoding="utf-8"     ) as f:
														__magic_name__				:					Optional[Any]						       =       {v: k for k, v in self.decoder.items()}
														f.write(json.dumps(__UpperCamelCase      ,							indent=2      ,							sort_keys=__UpperCamelCase      ,							ensure_ascii=__UpperCamelCase     ) + "\n"     )

										__magic_name__				:					Dict						       =       0
										with open(__UpperCamelCase      ,							"w"      ,							encoding="utf-8"     ) as writer:
														for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,							key=lambda __UpperCamelCase     : kv[1]     ):
																		if index != token_index:
																						logger.warning(
																						    f"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
																						    " Please check that the tokenizer is not corrupted!"     )
																						__magic_name__				:					Dict						       =       token_index
																		writer.write(" ".join(__UpperCamelCase     ) + "\n"     )
																		index += 1

										return src_vocab_file, tgt_vocab_file, merges_file







						def __getstate__(  self:	str     )							->	List[str]:
										__magic_name__				:					Optional[Any]						       =       self.__dict__.copy()
										__magic_name__				:					Any						       =       None
										return state







						def __setstate__(  self:	Tuple      ,							__UpperCamelCase:	List[str]     )							->	Optional[int]:
										__magic_name__				:					int						       =       d

										try:
														import sacremoses
										except ImportError:
														raise ImportError(
														    "You need to install sacremoses to use XLMTokenizer. "
														    "See https://pypi.org/project/sacremoses/ for installation."     )

										__magic_name__				:					int						       =       sacremoses



'''simple docstring'''







def 						_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__		):






				"""simple docstring"""



				if not isinstance(UpperCamelCase__     ,   UpperCamelCase__		):
								raise TypeError("plaintext must be a string"		)
				if not isinstance(UpperCamelCase__     ,   UpperCamelCase__		):
								raise TypeError("key must be a string"		)

				if not plaintext:
								raise ValueError("plaintext is empty"		)
				if not key:
								raise ValueError("key is empty"		)

				key += plaintext
				__magic_name__				:					List[str]						       =       plaintext.lower()
				__magic_name__				:					Tuple						       =       key.lower()
				__magic_name__				:					Dict						       =       0
				__magic_name__				:					Optional[int]						       =       0
				__magic_name__				:					List[str]						       =       ""
				while plaintext_iterator < len(UpperCamelCase__		):
								if (
								    ord(plaintext[plaintext_iterator]		) < 97
								    or ord(plaintext[plaintext_iterator]		) > 122
								):
												ciphertext += plaintext[plaintext_iterator]
												plaintext_iterator += 1
								elif ord(key[key_iterator]		) < 97 or ord(key[key_iterator]		) > 122:
												key_iterator += 1
								else:
												ciphertext += chr(
												    (
												        (ord(plaintext[plaintext_iterator]		) - 97 + ord(key[key_iterator]		))
												        - 97
												    )
												    % 26
												    + 97		)
												key_iterator += 1
												plaintext_iterator += 1
				return ciphertext



def 						_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__		):






				"""simple docstring"""



				if not isinstance(UpperCamelCase__     ,   UpperCamelCase__		):
								raise TypeError("ciphertext must be a string"		)
				if not isinstance(UpperCamelCase__     ,   UpperCamelCase__		):
								raise TypeError("key must be a string"		)

				if not ciphertext:
								raise ValueError("ciphertext is empty"		)
				if not key:
								raise ValueError("key is empty"		)

				__magic_name__				:					List[str]						       =       key.lower()
				__magic_name__				:					str						       =       0
				__magic_name__				:					Optional[Any]						       =       0
				__magic_name__				:					Tuple						       =       ""
				while ciphertext_iterator < len(UpperCamelCase__		):
								if (
								    ord(ciphertext[ciphertext_iterator]		) < 97
								    or ord(ciphertext[ciphertext_iterator]		) > 122
								):
												plaintext += ciphertext[ciphertext_iterator]
								else:
												plaintext += chr(
												    (ord(ciphertext[ciphertext_iterator]		) - ord(key[key_iterator]		)) % 26
												    + 97		)
												key += chr(
												    (ord(ciphertext[ciphertext_iterator]		) - ord(key[key_iterator]		)) % 26
												    + 97		)
												key_iterator += 1
								ciphertext_iterator += 1
				return plaintext


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		_SCREAMING_SNAKE_CASE       :   Tuple        = int(input("Type 1 to encrypt or 2 to decrypt:"))
		if operation == 1:
				_SCREAMING_SNAKE_CASE       :   Optional[Any]        = input("Typeplaintext to be encrypted:\n")
				_SCREAMING_SNAKE_CASE       :   Tuple        = input("Type the key:\n")
				print(encrypt(plaintext, key))
		elif operation == 2:
				_SCREAMING_SNAKE_CASE       :   Optional[Any]        = input("Type the ciphertext to be decrypted:\n")
				_SCREAMING_SNAKE_CASE       :   List[str]        = input("Type the key:\n")
				print(decrypt(ciphertext, key))
		decrypt("jsqqs avvwo", "coffee")