



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

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


snake_case     :    Optional[Any]						=    logging.get_logger(__name__)

snake_case     :    Dict						=    {
    'src_vocab_file': 'vocab-src.json',
    'tgt_vocab_file': 'vocab-tgt.json',
    'merges_file': 'merges.txt',
}

snake_case     :    Union[str, 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'},
}

snake_case     :    List[Any]						=    {'stas/tiny-wmt19-en-de': 1_0_2_4}
snake_case     :    Dict						=    {
    'stas/tiny-wmt19-en-de': {
        'langs': ['en', 'de'],
        'model_max_length': 1_0_2_4,
        'special_tokens_map_file': None,
        'full_tokenizer_file': None,
    }
}
def 						snake_case__							(       __lowercase							)		->		Tuple:







						"""simple docstring"""

						A__						:				Tuple         =			set()
						A__						:				List[str]         =			word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)							)
												A__						:				Any         =			char
						return pairs
def 						snake_case__							(       __lowercase							)		->		Union[str, Any]:







						"""simple docstring"""

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







						"""simple docstring"""

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




class 				lowerCAmelCase__	(						SCREAMING_SNAKE_CASE__    ):
					__A  :     int     =    VOCAB_FILES_NAMES
					__A  :     Any     =    PRETRAINED_VOCAB_FILES_MAP
					__A  :     Any     =    PRETRAINED_INIT_CONFIGURATION
					__A  :     str     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__A  :     int     =    ['input_ids', 'attention_mask']







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

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

											A__						:				Dict         =			sacremoses

											A__						:				Dict         =			src_vocab_file
											A__						:				Tuple         =			tgt_vocab_file
											A__						:				Any         =			merges_file
											A__						:				List[str]         =			do_lower_case

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

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







					def 			_lowercase      (							self   :  Optional[Any]):
											return self.get_src_vocab()







					@property
					def 			_lowercase      (							self   :  Optional[Any]):
											return self.src_vocab_size







					def 			_lowercase      (							self   :  Any      ,		_A   :  Tuple      ,		_A   :  Optional[Any]):







											if lang not in self.cache_moses_punct_normalizer:
																	A__						:				Dict         =			self.sm.MosesPunctNormalizer(lang=_A)
																	A__						:				Dict         =			punct_normalizer
											return self.cache_moses_punct_normalizer[lang].normalize(_A)







					def 			_lowercase      (							self   :  List[Any]      ,		_A   :  Optional[Any]      ,		_A   :  Union[str, Any]):







											if lang not in self.cache_moses_tokenizer:
																	A__						:				str         =			self.sm.MosesTokenizer(lang=_A)
																	A__						:				Any         =			moses_tokenizer
											return self.cache_moses_tokenizer[lang].tokenize(
											    _A      ,		aggressive_dash_splits=_A      ,		return_str=_A      ,		escape=_A)







					def 			_lowercase      (							self   :  Optional[int]      ,		_A   :  Any      ,		_A   :  str):







											if lang not in self.cache_moses_detokenizer:
																	A__						:				str         =			self.sm.MosesDetokenizer(lang=_A)
																	A__						:				Optional[Any]         =			moses_detokenizer
											return self.cache_moses_detokenizer[lang].detokenize(_A)







					def 			_lowercase      (							self   :  str      ,		_A   :  List[Any]      ,		_A   :  Tuple):
											A__						:				str         =			replace_unicode_punct(_A)
											A__						:				Optional[Any]         =			self.moses_punct_norm(_A      ,		_A)
											A__						:				List[Any]         =			remove_non_printing_char(_A)
											return text







					@property
					def 			_lowercase      (							self   :  Any):
											return len(self.encoder)







					@property
					def 			_lowercase      (							self   :  Optional[int]):
											return len(self.decoder)







					def 			_lowercase      (							self   :  Union[str, Any]):
											return dict(self.encoder      ,		**self.added_tokens_encoder)







					def 			_lowercase      (							self   :  Tuple):
											return dict(self.decoder      ,		**self.added_tokens_decoder)







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

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

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

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







					def 			_lowercase      (							self   :  str      ,		_A   :  List[Any]      ,		_A   :  Optional[Any]="en"      ,		_A   :  Tuple=False):
											A__						:				Any         =			self.src_lang

											if self.do_lower_case:
																	A__						:				Optional[Any]         =			text.lower()

											if bypass_tokenizer:
																	A__						:				Optional[int]         =			text.split()
											else:
																	A__						:				str         =			self.moses_pipeline(_A      ,		lang=_A)
																	A__						:				Optional[Any]         =			self.moses_tokenize(_A      ,		lang=_A)

											A__						:				List[str]         =			[]
											for token in text:
																	if token:
																							split_tokens.extend(list(self.bpe(_A).split(" ")))

											return split_tokens







					def 			_lowercase      (							self   :  Optional[Any]      ,		_A   :  Optional[int]):
											return self.encoder.get(_A      ,		self.encoder.get(self.unk_token))







					def 			_lowercase      (							self   :  Any      ,		_A   :  int):
											return self.decoder.get(_A      ,		self.unk_token)







					def 			_lowercase      (							self   :  List[str]      ,		_A   :  List[str]):
											A__						:				Tuple         =			[t.replace(" "      ,		"").replace("</w>"      ,		" ") for t in tokens]
											A__						:				str         =			"".join(_A).split()
											# detokenize
											A__						:				Optional[int]         =			self.moses_detokenize(_A      ,		self.tgt_lang)
											return text







					def 			_lowercase      (							self   :  Optional[Any]      ,		_A   :  int      ,		_A   :  Dict = None):
											A__						:				Any         =			[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 			_lowercase      (							self   :  List[str]      ,		_A   :  List[str]      ,		_A   :  Any = None      ,		_A   :  Union[str, Any] = False):







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







					def 			_lowercase      (							self   :  str      ,		_A   :  Optional[Any]      ,		_A   :  int = None):
											A__						:				Tuple         =			[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 			_lowercase      (							self   :  int      ,		_A   :  str      ,		_A   :  Union[str, Any] = None):







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

											A__						:				Dict         =			os.path.join(
											    _A      ,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"])
											A__						:				Any         =			os.path.join(
											    _A      ,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"])
											A__						:				Tuple         =			os.path.join(
											    _A      ,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

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

											with open(_A      ,		"w"      ,		encoding="utf-8") as f:
																	A__						:				int         =			{v: k for k, v in self.decoder.items()}
																	f.write(json.dumps(_A      ,		indent=2      ,		sort_keys=_A      ,		ensure_ascii=_A) + "\n")

											A__						:				str         =			0
											with open(_A      ,		"w"      ,		encoding="utf-8") as writer:
																	for bpe_tokens, token_index in sorted(self.bpe_ranks.items()      ,		key=lambda _A: 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!")
																													A__						:				List[str]         =			token_index
																							writer.write(" ".join(_A) + "\n")
																							index += 1

											return src_vocab_file, tgt_vocab_file, merges_file







					def __getstate__(							self   :  Tuple):
											A__						:				Tuple         =			self.__dict__.copy()
											A__						:				Union[str, Any]         =			None
											return state







					def __setstate__(							self   :  Any      ,		_A   :  Dict):
											A__						:				List[str]         =			d

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

											A__						:				List[str]         =			sacremoses






def   _SCREAMING_SNAKE_CASE      (	snake_case_		:						int						):
     if not isinstance(snake_case_ ,     snake_case_						):
          __magic_name__				=       f'Input value of [number={number}] must be an integer'
          raise TypeError(snake_case_						)
     if number < 0 or number % 2 == 1:
          return False
     __magic_name__				=       int(number**0.5						)
     return number == number_sqrt * (number_sqrt + 1)


if __name__ == "__main__":
    import doctest

    doctest.testmod()