

import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


lowerCAmelCase__		      =       logging.get_logger(__name__)

lowerCAmelCase__		      =       """▁"""

lowerCAmelCase__		      =       {
    """vocab_file""": """vocab.json""",
    """spm_file""": """sentencepiece.bpe.model""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

lowerCAmelCase__		      =       {
    """vocab_file""": {
        """facebook/m2m100_418M""": """https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json""",
        """facebook/m2m100_1.2B""": """https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json""",
    },
    """spm_file""": {
        """facebook/m2m100_418M""": """https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model""",
        """facebook/m2m100_1.2B""": """https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model""",
    },
    """tokenizer_config_file""": {
        """facebook/m2m100_418M""": """https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json""",
        """facebook/m2m100_1.2B""": """https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json""",
    },
}

lowerCAmelCase__		      =       {
    """facebook/m2m100_418M""": 1_0_2_4,
}

# fmt: off
lowerCAmelCase__		      =       {
    """m2m100""": ["""af""", """am""", """ar""", """ast""", """az""", """ba""", """be""", """bg""", """bn""", """br""", """bs""", """ca""", """ceb""", """cs""", """cy""", """da""", """de""", """el""", """en""", """es""", """et""", """fa""", """ff""", """fi""", """fr""", """fy""", """ga""", """gd""", """gl""", """gu""", """ha""", """he""", """hi""", """hr""", """ht""", """hu""", """hy""", """id""", """ig""", """ilo""", """is""", """it""", """ja""", """jv""", """ka""", """kk""", """km""", """kn""", """ko""", """lb""", """lg""", """ln""", """lo""", """lt""", """lv""", """mg""", """mk""", """ml""", """mn""", """mr""", """ms""", """my""", """ne""", """nl""", """no""", """ns""", """oc""", """or""", """pa""", """pl""", """ps""", """pt""", """ro""", """ru""", """sd""", """si""", """sk""", """sl""", """so""", """sq""", """sr""", """ss""", """su""", """sv""", """sw""", """ta""", """th""", """tl""", """tn""", """tr""", """uk""", """ur""", """uz""", """vi""", """wo""", """xh""", """yi""", """yo""", """zh""", """zu"""],
    """wmt21""": ["""en""", """ha""", """is""", """ja""", """cs""", """ru""", """zh""", """de"""]
}

class     a__  (    snake_case	):
			"""simple docstring"""







			__lowerCamelCase       				=				VOCAB_FILES_NAMES
			__lowerCamelCase       				=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCamelCase       				=				PRETRAINED_VOCAB_FILES_MAP
			__lowerCamelCase       				=				['input_ids', 'attention_mask']

			__lowerCamelCase       				=				[]
			__lowerCamelCase       				=				[]


			def __init__(			self					,					lowercase					,					lowercase					,					lowercase=None					,					lowercase=None					,					lowercase="<s>"					,					lowercase="</s>"					,					lowercase="</s>"					,					lowercase="<pad>"					,					lowercase="<unk>"					,					lowercase="m2m100"					,					lowercase = None					,					lowercase=8					,					**lowercase					,					)     ->  None:
							'''simple docstring'''






							A__						=	{} if sp_model_kwargs is None else sp_model_kwargs

							A__						=	language_codes
							A__						=	FAIRSEQ_LANGUAGE_CODES[language_codes]
							A__						=	{lang_code: F'__{lang_code}__' for lang_code in fairseq_language_code}

							A__						=	kwargs.get("additional_special_tokens"					,					[]				)
							kwargs["additional_special_tokens"] += [
							    self.get_lang_token(lowercase				)
							    for lang_code in fairseq_language_code
							    if self.get_lang_token(lowercase				) not in kwargs["additional_special_tokens"]
							]

							super().__init__(
							    src_lang=lowercase					,					tgt_lang=lowercase					,					bos_token=lowercase					,					eos_token=lowercase					,					sep_token=lowercase					,					unk_token=lowercase					,					pad_token=lowercase					,					language_codes=lowercase					,					sp_model_kwargs=self.sp_model_kwargs					,					num_madeup_words=lowercase					,					**lowercase					,					)

							A__						=	vocab_file
							A__						=	load_json(lowercase				)
							A__						=	{v: k for k, v in self.encoder.items()}
							A__						=	spm_file
							A__						=	load_spm(lowercase					,					self.sp_model_kwargs				)

							A__						=	len(self.encoder				)

							A__						=	{
							    self.get_lang_token(lowercase				): self.encoder_size + i for i, lang_code in enumerate(lowercase				)
							}
							A__						=	{lang_code: self.encoder_size + i for i, lang_code in enumerate(lowercase				)}
							A__						=	{v: k for k, v in self.lang_token_to_id.items()}

							A__						=	src_lang if src_lang is not None else "en"
							A__						=	tgt_lang
							A__						=	self.get_lang_id(self._src_lang				)
							self.set_src_lang_special_tokens(self._src_lang				)

							A__						=	num_madeup_words


			@property
			def    UpperCamelCase						(			self				)     ->  int:
							'''simple docstring'''






							return len(self.encoder				) + len(self.lang_token_to_id				)


			@property
			def    UpperCamelCase						(			self				)     ->  str:
							'''simple docstring'''






							return self._src_lang


			@src_lang.setter
			def    UpperCamelCase						(			self					,					lowercase				)     ->  None:
							'''simple docstring'''






							A__						=	new_src_lang
							self.set_src_lang_special_tokens(self._src_lang				)


			def    UpperCamelCase						(			self					,					lowercase				)     ->  List[str]:
							'''simple docstring'''






							return self.sp_model.encode(lowercase					,					out_type=lowercase				)


			def    UpperCamelCase						(			self					,					lowercase				)     ->  Optional[Any]:
							'''simple docstring'''






							if token in self.lang_token_to_id:
											return self.lang_token_to_id[token]
							return self.encoder.get(lowercase					,					self.encoder[self.unk_token]				)


			def    UpperCamelCase						(			self					,					lowercase				)     ->  str:
							'''simple docstring'''






							if index in self.id_to_lang_token:
											return self.id_to_lang_token[index]
							return self.decoder.get(lowercase					,					self.unk_token				)


			def    UpperCamelCase						(			self					,					lowercase				)     ->  Optional[Any]:
							'''simple docstring'''






							A__						=	[]
							A__						=	""
							for token in tokens:
											# make sure that special tokens are not decoded using sentencepiece model
											if token in self.all_special_tokens:
															out_string += self.sp_model.decode(lowercase				) + token
															A__						=	[]
											else:
															current_sub_tokens.append(lowercase				)
							out_string += self.sp_model.decode(lowercase				)
							return out_string.strip()


			def    UpperCamelCase						(			self					,					lowercase					,					lowercase = None					,					lowercase = False				)     ->  List[int]:
							'''simple docstring'''






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

							A__						=	[1] * len(self.prefix_tokens				)
							A__						=	[1] * len(self.suffix_tokens				)
							if token_ids_a is None:
											return prefix_ones + ([0] * len(lowercase				)) + suffix_ones
							return prefix_ones + ([0] * len(lowercase				)) + ([0] * len(lowercase				)) + suffix_ones


			def    UpperCamelCase						(			self					,					lowercase					,					lowercase = None				)     ->  List[int]:
							'''simple docstring'''






							if token_ids_a is None:
											return self.prefix_tokens + token_ids_a + self.suffix_tokens
							# We don't expect to process pairs, but leave the pair logic for API consistency
							return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens


			def    UpperCamelCase						(			self				)     ->  Dict:
							'''simple docstring'''






							A__						=	{self.convert_ids_to_tokens(lowercase				): i for i in range(self.vocab_size				)}
							vocab.update(self.added_tokens_encoder				)
							return vocab


			def __getstate__(			self				)     ->  Dict:
							'''simple docstring'''






							A__						=	self.__dict__.copy()
							A__						=	None
							return state


			def __setstate__(			self					,					lowercase				)     ->  None:
							'''simple docstring'''






							A__						=	d

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

							A__						=	load_spm(self.spm_file					,					self.sp_model_kwargs				)


			def    UpperCamelCase						(			self					,					lowercase					,					lowercase = None				)     ->  Tuple[str]:
							'''simple docstring'''






							A__						=	Path(lowercase				)
							if not save_dir.is_dir():
											raise OSError(F'{save_directory} should be a directory'				)
							A__						=	save_dir / (
							    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
							)
							A__						=	save_dir / (
							    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
							)

							save_json(self.encoder					,					lowercase				)

							if os.path.abspath(self.spm_file				) != os.path.abspath(lowercase				) and os.path.isfile(self.spm_file				):
											copyfile(self.spm_file					,					lowercase				)
							elif not os.path.isfile(self.spm_file				):
											with open(lowercase					,					"wb"				) as fi:
															A__						=	self.sp_model.serialized_model_proto()
															fi.write(lowercase				)

							return (str(lowercase				), str(lowercase				))


			def    UpperCamelCase						(			self					,					lowercase					,					lowercase = "en"					,					lowercase = None					,					lowercase = "ro"					,					**lowercase					,					)     ->  BatchEncoding:
							'''simple docstring'''






							A__						=	src_lang
							A__						=	tgt_lang
							self.set_src_lang_special_tokens(self.src_lang				)
							return super().prepare_seqaseq_batch(lowercase					,					lowercase					,					**lowercase				)


			def    UpperCamelCase						(			self					,					lowercase					,					lowercase					,					lowercase					,					**lowercase				)     ->  Optional[Any]:
							'''simple docstring'''






							if src_lang is None or tgt_lang is None:
											raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"				)
							A__						=	src_lang
							A__						=	self(lowercase					,					add_special_tokens=lowercase					,					**lowercase				)
							A__						=	self.get_lang_id(lowercase				)
							A__						=	tgt_lang_id
							return inputs


			def    UpperCamelCase						(			self				)     ->  Tuple:
							'''simple docstring'''






							self.set_src_lang_special_tokens(self.src_lang				)


			def    UpperCamelCase						(			self				)     ->  List[Any]:
							'''simple docstring'''






							self.set_tgt_lang_special_tokens(self.tgt_lang				)


			def    UpperCamelCase						(			self					,					lowercase				)     ->  None:
							'''simple docstring'''






							A__						=	self.get_lang_token(lowercase				)
							A__						=	self.lang_token_to_id[lang_token]
							A__						=	[self.cur_lang_id]
							A__						=	[self.eos_token_id]


			def    UpperCamelCase						(			self					,					lowercase				)     ->  None:
							'''simple docstring'''






							A__						=	self.get_lang_token(lowercase				)
							A__						=	self.lang_token_to_id[lang_token]
							A__						=	[self.cur_lang_id]
							A__						=	[self.eos_token_id]


			def    UpperCamelCase						(			self					,					lowercase				)     ->  str:
							'''simple docstring'''






							return self.lang_code_to_token[lang]


			def    UpperCamelCase						(			self					,					lowercase				)     ->  int:
							'''simple docstring'''






							A__						=	self.get_lang_token(lowercase				)
							return self.lang_token_to_id[lang_token]



def     lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							str		,				SCREAMING_SNAKE_CASE_:							Dict[str, Any]					)	->					sentencepiece.SentencePieceProcessor:




				'''simple docstring'''





				A__						=	sentencepiece.SentencePieceProcessor(**SCREAMING_SNAKE_CASE_					)
				spm.Load(str(SCREAMING_SNAKE_CASE_					)					)
				return spm



def     lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							str					)	->					Union[Dict, List]:




				'''simple docstring'''





				with open(SCREAMING_SNAKE_CASE_		,				"r"					) as f:
								return json.load(SCREAMING_SNAKE_CASE_					)





def     lowerCAmelCase__							(		SCREAMING_SNAKE_CASE_:							str		,				SCREAMING_SNAKE_CASE_:							str					)	->					None:




				'''simple docstring'''





				with open(SCREAMING_SNAKE_CASE_		,				"w"					) as f:
								json.dump(SCREAMING_SNAKE_CASE_		,				SCREAMING_SNAKE_CASE_		,				indent=2					)








from __future__ import annotations

import string
from itertools import cycle, product
from pathlib import Path

_snake_case  :    str						    =  (
    string.ascii_letters + string.digits + string.punctuation + string.whitespace
)
_snake_case  :    list[int]						    =  [ord(letter) for letter in string.ascii_lowercase]
_snake_case  :    set[int]						    =  {ord(char) for char in VALID_CHARS}

_snake_case  :    list[str]						    =  ["the", "be", "to", "of", "and", "in", "that", "have"]

def   a_    ( lowerCAmelCase_      :			list[int],	lowerCAmelCase_      :			tuple[int, ...]	):
   __lowerCAmelCase								=	""
   __lowerCAmelCase								=	42
   __lowerCAmelCase								=	42
   __lowerCAmelCase								=	42

   for keychar, cipherchar in zip(cycle(lowerCAmelCase_	),	lowerCAmelCase_	):
      __lowerCAmelCase								=	cipherchar ^ keychar
      if decodedchar not in VALID_INTS:
         return None
      decoded += chr(lowerCAmelCase_	)

   return decoded

def   a_    ( lowerCAmelCase_      :			list[int]	):
   __lowerCAmelCase								=	[]
   for key in product(lowerCAmelCase_,	repeat=3	):
      __lowerCAmelCase								=	try_key(lowerCAmelCase_,	lowerCAmelCase_	)
      if encoded is not None:
         possibles.append(lowerCAmelCase_	)
   return possibles

def   a_    ( lowerCAmelCase_      :			list[str],	lowerCAmelCase_      :			str	):
   return [possible for possible in possibles if common_word in possible.lower()]

def   a_    ( lowerCAmelCase_      :			str = "p059_cipher.txt"	):
   __lowerCAmelCase								=	42
   __lowerCAmelCase								=	42
   __lowerCAmelCase								=	42
   __lowerCAmelCase								=	42
   __lowerCAmelCase								=	Path(lowerCAmelCase_	).parent.joinpath(lowerCAmelCase_	).read_text(encoding='utf-8'	)

   __lowerCAmelCase								=	[int(lowerCAmelCase_	) for number in data.strip().split(','	)]

   __lowerCAmelCase								=	filter_valid_chars(lowerCAmelCase_	)
   for common_word in COMMON_WORDS:
      __lowerCAmelCase								=	filter_common_word(lowerCAmelCase_,	lowerCAmelCase_	)
      if len(lowerCAmelCase_	) == 1:
         break

   __lowerCAmelCase								=	possibles[0]
   return sum(ord(lowerCAmelCase_	) for char in decoded_text	)


if __name__ == "__main__":
     print(F"""{solution() = }""")

