
import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class 							lowerCamelCase       (		__snake_case			,  unittest.TestCase					):



  """simple docstring"""





  lowerCAmelCase_								=		RealmTokenizer
  lowerCAmelCase_								=		RealmTokenizerFast
  lowerCAmelCase_								=		True
  lowerCAmelCase_								=		True
  lowerCAmelCase_								=		filter_non_english

  def 					lowercase_						(					self					):
      super().setUp()

      A_								=					[
          "[UNK]",
          "[CLS]",
          "[SEP]",
          "[PAD]",
          "[MASK]",
          "want",
          "##want",
          "##ed",
          "wa",
          "un",
          "runn",
          "##ing",
          ",",
          "low",
          "lowest",
      ]
      A_								=					os.path.join(self.tmpdirname						,    VOCAB_FILES_NAMES["vocab_file"]					)
      with open(self.vocab_file						,    "w"						,    encoding="utf-8"					) as vocab_writer:
          vocab_writer.write("".join([x + "\n" for x in vocab_tokens]					)					)

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      A_								=					"UNwant\u00E9d,running"
      A_								=					"unwanted, running"
      return input_text, output_text

  def 					lowercase_						(					self					):
      A_								=					self.tokenizer_class(self.vocab_file					)

      A_								=					tokenizer.tokenize("UNwant\u00E9d,running"					)
      self.assertListEqual(__UpperCamelCase						,    ["un", "##want", "##ed", ",", "runn", "##ing"]					)
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase					)						,    [9, 6, 7, 12, 10, 11]					)

  def 					lowercase_						(					self					):
      if not self.test_rust_tokenizer:
          return

      A_								=					self.get_tokenizer()
      A_								=					self.get_rust_tokenizer()

      A_								=					"UNwant\u00E9d,running"

      A_								=					tokenizer.tokenize(__UpperCamelCase					)
      A_								=					rust_tokenizer.tokenize(__UpperCamelCase					)
      self.assertListEqual(__UpperCamelCase						,    __UpperCamelCase					)

      A_								=					tokenizer.encode(__UpperCamelCase						,    add_special_tokens=__UpperCamelCase					)
      A_								=					rust_tokenizer.encode(__UpperCamelCase						,    add_special_tokens=__UpperCamelCase					)
      self.assertListEqual(__UpperCamelCase						,    __UpperCamelCase					)

      A_								=					self.get_rust_tokenizer()
      A_								=					tokenizer.encode(__UpperCamelCase					)
      A_								=					rust_tokenizer.encode(__UpperCamelCase					)
      self.assertListEqual(__UpperCamelCase						,    __UpperCamelCase					)

      # With lower casing
      A_								=					self.get_tokenizer(do_lower_case=__UpperCamelCase					)
      A_								=					self.get_rust_tokenizer(do_lower_case=__UpperCamelCase					)

      A_								=					"UNwant\u00E9d,running"

      A_								=					tokenizer.tokenize(__UpperCamelCase					)
      A_								=					rust_tokenizer.tokenize(__UpperCamelCase					)
      self.assertListEqual(__UpperCamelCase						,    __UpperCamelCase					)

      A_								=					tokenizer.encode(__UpperCamelCase						,    add_special_tokens=__UpperCamelCase					)
      A_								=					rust_tokenizer.encode(__UpperCamelCase						,    add_special_tokens=__UpperCamelCase					)
      self.assertListEqual(__UpperCamelCase						,    __UpperCamelCase					)

      A_								=					self.get_rust_tokenizer()
      A_								=					tokenizer.encode(__UpperCamelCase					)
      A_								=					rust_tokenizer.encode(__UpperCamelCase					)
      self.assertListEqual(__UpperCamelCase						,    __UpperCamelCase					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer()

      self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"					)						,    ["ah", "\u535A", "\u63A8", "zz"]					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer(do_lower_case=__UpperCamelCase					)

      self.assertListEqual(
          tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "					)						,    ["hello", "!", "how", "are", "you", "?"]					)
      self.assertListEqual(tokenizer.tokenize("H\u00E9llo"					)						,    ["hello"]					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer(do_lower_case=__UpperCamelCase						,    strip_accents=__UpperCamelCase					)

      self.assertListEqual(
          tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "					)						,    ["hällo", "!", "how", "are", "you", "?"]					)
      self.assertListEqual(tokenizer.tokenize("H\u00E9llo"					)						,    ["h\u00E9llo"]					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer(do_lower_case=__UpperCamelCase						,    strip_accents=__UpperCamelCase					)

      self.assertListEqual(
          tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "					)						,    ["hallo", "!", "how", "are", "you", "?"]					)
      self.assertListEqual(tokenizer.tokenize("H\u00E9llo"					)						,    ["hello"]					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer(do_lower_case=__UpperCamelCase					)

      self.assertListEqual(
          tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "					)						,    ["hallo", "!", "how", "are", "you", "?"]					)
      self.assertListEqual(tokenizer.tokenize("H\u00E9llo"					)						,    ["hello"]					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer(do_lower_case=__UpperCamelCase					)

      self.assertListEqual(
          tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "					)						,    ["HeLLo", "!", "how", "Are", "yoU", "?"]					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer(do_lower_case=__UpperCamelCase						,    strip_accents=__UpperCamelCase					)

      self.assertListEqual(
          tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "					)						,    ["HäLLo", "!", "how", "Are", "yoU", "?"]					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer(do_lower_case=__UpperCamelCase						,    strip_accents=__UpperCamelCase					)

      self.assertListEqual(
          tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "					)						,    ["HaLLo", "!", "how", "Are", "yoU", "?"]					)

  def 					lowercase_						(					self					):
      A_								=					BasicTokenizer(do_lower_case=__UpperCamelCase						,    never_split=["[UNK]"]					)

      self.assertListEqual(
          tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"					)						,    ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]					)

  def 					lowercase_						(					self					):
      A_								=					["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

      A_								=					{}
      for i, token in enumerate(__UpperCamelCase					):
          A_								=					i
      A_								=					WordpieceTokenizer(vocab=__UpperCamelCase						,    unk_token="[UNK]"					)

      self.assertListEqual(tokenizer.tokenize(""					)						,    []					)

      self.assertListEqual(tokenizer.tokenize("unwanted running"					)						,    ["un", "##want", "##ed", "runn", "##ing"]					)

      self.assertListEqual(tokenizer.tokenize("unwantedX running"					)						,    ["[UNK]", "runn", "##ing"]					)

  def 					lowercase_						(					self					):
      self.assertTrue(_is_whitespace(" "					)					)
      self.assertTrue(_is_whitespace("\t"					)					)
      self.assertTrue(_is_whitespace("\r"					)					)
      self.assertTrue(_is_whitespace("\n"					)					)
      self.assertTrue(_is_whitespace("\u00A0"					)					)

      self.assertFalse(_is_whitespace("A"					)					)
      self.assertFalse(_is_whitespace("-"					)					)

  def 					lowercase_						(					self					):
      self.assertTrue(_is_control("\u0005"					)					)

      self.assertFalse(_is_control("A"					)					)
      self.assertFalse(_is_control(" "					)					)
      self.assertFalse(_is_control("\t"					)					)
      self.assertFalse(_is_control("\r"					)					)

  def 					lowercase_						(					self					):
      self.assertTrue(_is_punctuation("-"					)					)
      self.assertTrue(_is_punctuation("$"					)					)
      self.assertTrue(_is_punctuation("`"					)					)
      self.assertTrue(_is_punctuation("."					)					)

      self.assertFalse(_is_punctuation("A"					)					)
      self.assertFalse(_is_punctuation(" "					)					)

  def 					lowercase_						(					self					):
      A_								=					self.get_tokenizer()

      # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
      self.assertListEqual([tokenizer.tokenize(__UpperCamelCase					) for t in ["Test", "\xad", "test"]]						,    [["[UNK]"], [], ["[UNK]"]]					)

      if self.test_rust_tokenizer:
          A_								=					self.get_rust_tokenizer()
          self.assertListEqual(
              [rust_tokenizer.tokenize(__UpperCamelCase					) for t in ["Test", "\xad", "test"]]						,    [["[UNK]"], [], ["[UNK]"]]					)

  @slow
  def 					lowercase_						(					self					):
      A_								=					self.tokenizer_class.from_pretrained("bert-base-uncased"					)

      A_								=					tokenizer.encode("sequence builders"						,    add_special_tokens=__UpperCamelCase					)
      A_								=					tokenizer.encode("multi-sequence build"						,    add_special_tokens=__UpperCamelCase					)

      A_								=					tokenizer.build_inputs_with_special_tokens(__UpperCamelCase					)
      A_								=					tokenizer.build_inputs_with_special_tokens(__UpperCamelCase						,    __UpperCamelCase					)

      assert encoded_sentence == [101] + text + [102]
      assert encoded_pair == [101] + text + [102] + text_a + [102]

  def 					lowercase_						(					self					):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'					):
              A_								=					self.rust_tokenizer_class.from_pretrained(__UpperCamelCase						,    **__UpperCamelCase					)

              A_								=					f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
              A_								=					tokenizer_r.encode_plus(
                  __UpperCamelCase						,    return_attention_mask=__UpperCamelCase						,    return_token_type_ids=__UpperCamelCase						,    return_offsets_mapping=__UpperCamelCase						,    add_special_tokens=__UpperCamelCase						,    )

              A_								=					tokenizer_r.do_lower_case if hasattr(__UpperCamelCase						,    "do_lower_case"					) else False
              A_								=					(
                  [
                      ((0, 0), tokenizer_r.cls_token),
                      ((0, 1), "A"),
                      ((1, 2), ","),
                      ((3, 5), "na"),
                      ((5, 6), "##ï"),
                      ((6, 8), "##ve"),
                      ((9, 15), tokenizer_r.mask_token),
                      ((16, 21), "Allen"),
                      ((21, 23), "##NL"),
                      ((23, 24), "##P"),
                      ((25, 33), "sentence"),
                      ((33, 34), "."),
                      ((0, 0), tokenizer_r.sep_token),
                  ]
                  if not do_lower_case
                  else [
                      ((0, 0), tokenizer_r.cls_token),
                      ((0, 1), "a"),
                      ((1, 2), ","),
                      ((3, 8), "naive"),
                      ((9, 15), tokenizer_r.mask_token),
                      ((16, 21), "allen"),
                      ((21, 23), "##nl"),
                      ((23, 24), "##p"),
                      ((25, 33), "sentence"),
                      ((33, 34), "."),
                      ((0, 0), tokenizer_r.sep_token),
                  ]
              )

              self.assertEqual(
                  [e[1] for e in expected_results]						,    tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]					)					)
              self.assertEqual([e[0] for e in expected_results]						,    tokens["offset_mapping"]					)

  @slow
  def 					lowercase_						(					self					):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'					):
              A_								=					self.rust_tokenizer_class.from_pretrained(__UpperCamelCase						,    **__UpperCamelCase					)
              A_								=					self.tokenizer_class.from_pretrained(__UpperCamelCase						,    **__UpperCamelCase					)
              A_								=					[["Hello world!", "Nice to meet you!"], ["The cute cat.", "The adorable dog."]]

              A_								=					tokenizer_r.batch_encode_candidates(__UpperCamelCase						,    max_length=10						,    return_tensors="np"					)
              A_								=					tokenizer_p.batch_encode_candidates(__UpperCamelCase						,    max_length=10						,    return_tensors="np"					)

              A_								=					(2, 2, 10)

              self.assertEqual(encoded_sentence_r["input_ids"].shape						,    __UpperCamelCase					)
              self.assertEqual(encoded_sentence_r["attention_mask"].shape						,    __UpperCamelCase					)
              self.assertEqual(encoded_sentence_r["token_type_ids"].shape						,    __UpperCamelCase					)

              self.assertEqual(encoded_sentence_p["input_ids"].shape						,    __UpperCamelCase					)
              self.assertEqual(encoded_sentence_p["attention_mask"].shape						,    __UpperCamelCase					)
              self.assertEqual(encoded_sentence_p["token_type_ids"].shape						,    __UpperCamelCase					)








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

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


__magic_name__  :  List[Any]     			=   logging.get_logger(__name__)

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

__magic_name__  :  Dict     			=   {
    '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'},
}

__magic_name__  :  Any     			=   {'stas/tiny-wmt19-en-de': 1_0_2_4}
__magic_name__  :  int     			=   {
    '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        lowerCAmelCase       (				snake_case__   :      Union[str, Any] )->			Dict:
    A_								=					set()
    A_								=					word[0]
    for char in word[1:]:
        pairs.add((prev_char, char) )
        A_								=					char
    return pairs





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





def        lowerCAmelCase       (				snake_case__   :      List[Any] )->			List[Any]:
    A_								=					[]
    for char in text:
        A_								=					unicodedata.category(snake_case__ )
        if cat.startswith("C" ):
            continue
        output.append(snake_case__ )
    return "".join(snake_case__ )



class 							lowerCamelCase       (		__snake_case					):



  """simple docstring"""





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

  def __init__(					self						,    __UpperCamelCase=None						,    __UpperCamelCase=None						,    __UpperCamelCase=None						,    __UpperCamelCase=None						,    __UpperCamelCase=False						,    __UpperCamelCase="<unk>"						,    __UpperCamelCase="<s>"						,    __UpperCamelCase="</s>"						,    __UpperCamelCase="<pad>"						,    **__UpperCamelCase						,    ):
      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."					)

      A_								=					sacremoses

      A_								=					src_vocab_file
      A_								=					tgt_vocab_file
      A_								=					merges_file
      A_								=					do_lower_case

      # cache of sm.MosesPunctNormalizer instance
      A_								=					{}
      # cache of sm.MosesTokenizer instance
      A_								=					{}
      A_								=					{}

      if langs and len(__UpperCamelCase					) == 2:
          A_	,	A_								=					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:
          A_								=					json.load(__UpperCamelCase					)
      with open(__UpperCamelCase						,    encoding="utf-8"					) as tgt_vocab_handle:
          A_								=					json.load(__UpperCamelCase					)
          A_								=					{v: k for k, v in tgt_vocab.items()}
      with open(__UpperCamelCase						,    encoding="utf-8"					) as merges_handle:
          A_								=					merges_handle.read().split("\n"					)[:-1]
      A_								=					[tuple(merge.split()[:2]					) for merge in merges]
      A_								=					dict(zip(__UpperCamelCase						,    range(len(__UpperCamelCase					)					)					)					)
      A_								=					{}

  def 					lowercase_						(					self					):
      return self.get_src_vocab()

  @property
  def 					lowercase_						(					self					):
      return self.src_vocab_size

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase					):
      if lang not in self.cache_moses_punct_normalizer:
          A_								=					self.sm.MosesPunctNormalizer(lang=__UpperCamelCase					)
          A_								=					punct_normalizer
      return self.cache_moses_punct_normalizer[lang].normalize(__UpperCamelCase					)

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase					):
      if lang not in self.cache_moses_tokenizer:
          A_								=					self.sm.MosesTokenizer(lang=__UpperCamelCase					)
          A_								=					moses_tokenizer
      return self.cache_moses_tokenizer[lang].tokenize(
          __UpperCamelCase						,    aggressive_dash_splits=__UpperCamelCase						,    return_str=__UpperCamelCase						,    escape=__UpperCamelCase					)

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase					):
      if lang not in self.cache_moses_detokenizer:
          A_								=					self.sm.MosesDetokenizer(lang=__UpperCamelCase					)
          A_								=					moses_detokenizer
      return self.cache_moses_detokenizer[lang].detokenize(__UpperCamelCase					)

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase					):
      A_								=					replace_unicode_punct(__UpperCamelCase					)
      A_								=					self.moses_punct_norm(__UpperCamelCase						,    __UpperCamelCase					)
      A_								=					remove_non_printing_char(__UpperCamelCase					)
      return text

  @property
  def 					lowercase_						(					self					):
      return len(self.encoder					)

  @property
  def 					lowercase_						(					self					):
      return len(self.decoder					)

  def 					lowercase_						(					self					):
      return dict(self.encoder						,    **self.added_tokens_encoder					)

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

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      A_								=					tuple(token[:-1]					) + (token[-1] + "</w>",)
      if token in self.cache:
          return self.cache[token]
      A_								=					get_pairs(__UpperCamelCase					)

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

      while True:
          A_								=					min(__UpperCamelCase						,    key=lambda __UpperCamelCase					: self.bpe_ranks.get(__UpperCamelCase						,    float("inf"					)					)					)
          if bigram not in self.bpe_ranks:
              break
          A_	,	A_								=					bigram
          A_								=					[]
          A_								=					0
          while i < len(__UpperCamelCase					):
              try:
                  A_								=					word.index(__UpperCamelCase						,    __UpperCamelCase					)
              except ValueError:
                  new_word.extend(word[i:]					)
                  break
              else:
                  new_word.extend(word[i:j]					)
                  A_								=					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
          A_								=					tuple(__UpperCamelCase					)
          A_								=					new_word
          if len(__UpperCamelCase					) == 1:
              break
          else:
              A_								=					get_pairs(__UpperCamelCase					)
      A_								=					" ".join(__UpperCamelCase					)
      if word == "\n  </w>":
          A_								=					"\n</w>"
      A_								=					word
      return word

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase="en"						,    __UpperCamelCase=False					):
      A_								=					self.src_lang

      if self.do_lower_case:
          A_								=					text.lower()

      if bypass_tokenizer:
          A_								=					text.split()
      else:
          A_								=					self.moses_pipeline(__UpperCamelCase						,    lang=__UpperCamelCase					)
          A_								=					self.moses_tokenize(__UpperCamelCase						,    lang=__UpperCamelCase					)

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

      return split_tokens

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      return self.encoder.get(__UpperCamelCase						,    self.encoder.get(self.unk_token					)					)

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      return self.decoder.get(__UpperCamelCase						,    self.unk_token					)

  def 					lowercase_						(					self						,    __UpperCamelCase					):
      A_								=					[t.replace(" "						,    ""					).replace("</w>"						,    " "					) for t in tokens]
      A_								=					"".join(__UpperCamelCase					).split()
      # detokenize
      A_								=					self.moses_detokenize(__UpperCamelCase						,    self.tgt_lang					)
      return text

  def 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase = None					):
      A_								=					[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						,    __UpperCamelCase						,    __UpperCamelCase = None						,    __UpperCamelCase = False					):

      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 					lowercase_						(					self						,    __UpperCamelCase						,    __UpperCamelCase = None					):
      A_								=					[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						,    __UpperCamelCase						,    __UpperCamelCase = None					):
      if not os.path.isdir(__UpperCamelCase					):
          logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
          return

      A_								=					os.path.join(
          __UpperCamelCase						,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["src_vocab_file"]					)
      A_								=					os.path.join(
          __UpperCamelCase						,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["tgt_vocab_file"]					)
      A_								=					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:
          A_								=					{v: k for k, v in self.decoder.items()}
          f.write(json.dumps(__UpperCamelCase						,    indent=2						,    sort_keys=__UpperCamelCase						,    ensure_ascii=__UpperCamelCase					) + "\n"					)

      A_								=					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!"					)
                  A_								=					token_index
              writer.write(" ".join(__UpperCamelCase					) + "\n"					)
              index += 1

      return src_vocab_file, tgt_vocab_file, merges_file

  def __getstate__(					self					):
      A_								=					self.__dict__.copy()
      A_								=					None
      return state

  def __setstate__(					self						,    __UpperCamelCase					):
      A_								=					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_								=					sacremoses






