code: 
  import os
  from shutil import copyfile
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils import AddedToken
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import is_sentencepiece_available, logging
  
  
  if is_sentencepiece_available():
  				from .tokenization_xlm_roberta import XLMRobertaTokenizer
  else:
  				snake_case				:	Any							   =						None
  
  
  snake_case				:	Union[str, Any]							   =						logging.get_logger(__name__)
  
  snake_case				:	Any							   =						{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}
  
  snake_case				:	Optional[Any]							   =						{
      "vocab_file": {
          "xlm-roberta-base": "https://huggingface.co/xlm-roberta-base/resolve/main/sentencepiece.bpe.model",
          "xlm-roberta-large": "https://huggingface.co/xlm-roberta-large/resolve/main/sentencepiece.bpe.model",
          "xlm-roberta-large-finetuned-conll02-dutch": (
              "https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/sentencepiece.bpe.model"
          ),
          "xlm-roberta-large-finetuned-conll02-spanish": (
              "https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/sentencepiece.bpe.model"
          ),
          "xlm-roberta-large-finetuned-conll03-english": (
              "https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/sentencepiece.bpe.model"
          ),
          "xlm-roberta-large-finetuned-conll03-german": (
              "https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/sentencepiece.bpe.model"
          ),
      },
      "tokenizer_file": {
          "xlm-roberta-base": "https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json",
          "xlm-roberta-large": "https://huggingface.co/xlm-roberta-large/resolve/main/tokenizer.json",
          "xlm-roberta-large-finetuned-conll02-dutch": (
              "https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/tokenizer.json"
          ),
          "xlm-roberta-large-finetuned-conll02-spanish": (
              "https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/tokenizer.json"
          ),
          "xlm-roberta-large-finetuned-conll03-english": (
              "https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/tokenizer.json"
          ),
          "xlm-roberta-large-finetuned-conll03-german": (
              "https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/tokenizer.json"
          ),
      },
  }
  
  snake_case				:	Optional[int]							   =						{
      "xlm-roberta-base": 512,
      "xlm-roberta-large": 512,
      "xlm-roberta-large-finetuned-conll02-dutch": 512,
      "xlm-roberta-large-finetuned-conll02-spanish": 512,
      "xlm-roberta-large-finetuned-conll03-english": 512,
      "xlm-roberta-large-finetuned-conll03-german": 512,
  }
  
  
  
  
  
  class    _snake_case      (  snake_case       ):
  			UpperCamelCase__					   =					VOCAB_FILES_NAMES
  			UpperCamelCase__					   =					PRETRAINED_VOCAB_FILES_MAP
  			UpperCamelCase__					   =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  			UpperCamelCase__					   =					['input_ids', 'attention_mask']
  			UpperCamelCase__					   =					XLMRobertaTokenizer
  
  
  
  
  
  
  
  			def __init__(       self		,     _a=None		,     _a=None		,     _a="<s>"		,     _a="</s>"		,     _a="</s>"		,     _a="<s>"		,     _a="<unk>"		,     _a="<pad>"		,     _a="<mask>"		,     **_a		,     ):
  				# Mask token behave like a normal word, i.e. include the space before it
  				__magic_name__	:	List[str]			     =  AddedToken(_a		,     lstrip=_a		,     rstrip=_a	) if isinstance(_a		,     _a	) else mask_token
  
  				super().__init__(
  				    _a		,     tokenizer_file=_a		,     bos_token=_a		,     eos_token=_a		,     sep_token=_a		,     cls_token=_a		,     unk_token=_a		,     pad_token=_a		,     mask_token=_a		,     **_a		,     )
  
  				__magic_name__	:	Optional[int]			     =  vocab_file
  				__magic_name__	:	List[str]			     =  False if not self.vocab_file else True
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self		,     _a		,     _a = None	):
  
  				if token_ids_a is None:
  					return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  				__magic_name__	:	Union[str, Any]			     =  [self.cls_token_id]
  				__magic_name__	:	str			     =  [self.sep_token_id]
  				return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self		,     _a		,     _a = None	):
  				__magic_name__	:	List[str]			     =  [self.sep_token_id]
  				__magic_name__	:	List[str]			     =  [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 + sep + token_ids_a + sep	) * [0]
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self		,     _a		,     _a = None	):
  				if not self.can_save_slow_tokenizer:
  					raise ValueError(
  					    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
  					    "tokenizer."	)
  
  				if not os.path.isdir(_a	):
  					logger.error(f'''Vocabulary path ({save_directory}) should be a directory.'''	)
  					return
  				__magic_name__	:	Any			     =  os.path.join(
  				    _a		,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)
  
  				if os.path.abspath(self.vocab_file	) != os.path.abspath(_a	):
  					copyfile(self.vocab_file		,     _a	)
  
  				return (out_vocab_file,)
  
style_context: 
  import os
  import unittest
  
  from transformers import ElectraTokenizerFast
  from transformers.models.electra.tokenization_electra import (
      VOCAB_FILES_NAMES,
      BasicTokenizer,
      ElectraTokenizer,
      WordpieceTokenizer,
      _is_control,
      _is_punctuation,
      _is_whitespace,
  )
  from transformers.testing_utils import require_tokenizers, slow
  
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
  
  
  
  
  
  @require_tokenizers
  class    _snake_case      (  snake_case       ,		unittest.TestCase       ):
  			UpperCamelCase__					   =					ElectraTokenizer
  			UpperCamelCase__					   =					ElectraTokenizerFast
  			UpperCamelCase__					   =					True
  			UpperCamelCase__					   =					True
  			UpperCamelCase__					   =					filter_non_english
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				super().setUp()
  
  				__magic_name__	:	Optional[Any]			     =  [
  				    "[UNK]",
  				    "[CLS]",
  				    "[SEP]",
  				    "[PAD]",
  				    "[MASK]",
  				    "want",
  				    "##want",
  				    "##ed",
  				    "wa",
  				    "un",
  				    "runn",
  				    "##ing",
  				    ",",
  				    "low",
  				    "lowest",
  				]
  				__magic_name__	:	Dict			     =  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     SCREAMING_SNAKE_CASE					(       self		,     _a	):
  				__magic_name__	:	Dict			     =  "UNwant\u00E9d,running"
  				__magic_name__	:	int			     =  "unwanted, running"
  				return input_text, output_text
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Union[str, Any]			     =  self.tokenizer_class(self.vocab_file	)
  
  				__magic_name__	:	Optional[int]			     =  tokenizer.tokenize("UNwant\u00E9d,running"	)
  				self.assertListEqual(_a		,     ["un", "##want", "##ed", ",", "runn", "##ing"]	)
  				self.assertListEqual(tokenizer.convert_tokens_to_ids(_a	)		,     [9, 6, 7, 12, 10, 11]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				if not self.test_rust_tokenizer:
  					return
  
  				__magic_name__	:	str			     =  self.get_tokenizer()
  				__magic_name__	:	Optional[int]			     =  self.get_rust_tokenizer()
  
  				__magic_name__	:	Tuple			     =  "UNwant\u00E9d,running"
  
  				__magic_name__	:	List[Any]			     =  tokenizer.tokenize(_a	)
  				__magic_name__	:	str			     =  rust_tokenizer.tokenize(_a	)
  				self.assertListEqual(_a		,     _a	)
  
  				__magic_name__	:	int			     =  tokenizer.encode(_a		,     add_special_tokens=_a	)
  				__magic_name__	:	Union[str, Any]			     =  rust_tokenizer.encode(_a		,     add_special_tokens=_a	)
  				self.assertListEqual(_a		,     _a	)
  
  				__magic_name__	:	Tuple			     =  self.get_rust_tokenizer()
  				__magic_name__	:	Union[str, Any]			     =  tokenizer.encode(_a	)
  				__magic_name__	:	Any			     =  rust_tokenizer.encode(_a	)
  				self.assertListEqual(_a		,     _a	)
  
  				# With lower casing
  				__magic_name__	:	Optional[Any]			     =  self.get_tokenizer(do_lower_case=_a	)
  				__magic_name__	:	Union[str, Any]			     =  self.get_rust_tokenizer(do_lower_case=_a	)
  
  				__magic_name__	:	Tuple			     =  "UNwant\u00E9d,running"
  
  				__magic_name__	:	Optional[Any]			     =  tokenizer.tokenize(_a	)
  				__magic_name__	:	List[Any]			     =  rust_tokenizer.tokenize(_a	)
  				self.assertListEqual(_a		,     _a	)
  
  				__magic_name__	:	Any			     =  tokenizer.encode(_a		,     add_special_tokens=_a	)
  				__magic_name__	:	List[str]			     =  rust_tokenizer.encode(_a		,     add_special_tokens=_a	)
  				self.assertListEqual(_a		,     _a	)
  
  				__magic_name__	:	Dict			     =  self.get_rust_tokenizer()
  				__magic_name__	:	Optional[int]			     =  tokenizer.encode(_a	)
  				__magic_name__	:	Any			     =  rust_tokenizer.encode(_a	)
  				self.assertListEqual(_a		,     _a	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Tuple			     =  BasicTokenizer()
  
  				self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"	)		,     ["ah", "\u535A", "\u63A8", "zz"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Optional[Any]			     =  BasicTokenizer(do_lower_case=_a	)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)		,     ["hello", "!", "how", "are", "you", "?"]	)
  				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Union[str, Any]			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hällo", "!", "how", "are", "you", "?"]	)
  				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["h\u00E9llo"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	str			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hallo", "!", "how", "are", "you", "?"]	)
  				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Optional[int]			     =  BasicTokenizer(do_lower_case=_a	)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["hallo", "!", "how", "are", "you", "?"]	)
  				self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)		,     ["hello"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Union[str, Any]			     =  BasicTokenizer(do_lower_case=_a	)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)		,     ["HeLLo", "!", "how", "Are", "yoU", "?"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Dict			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["HäLLo", "!", "how", "Are", "yoU", "?"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Any			     =  BasicTokenizer(do_lower_case=_a		,     strip_accents=_a	)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)		,     ["HaLLo", "!", "how", "Are", "yoU", "?"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Any			     =  BasicTokenizer(do_lower_case=_a		,     never_split=["[UNK]"]	)
  
  				self.assertListEqual(
  				    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"	)		,     ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	Dict			     =  ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]
  
  				__magic_name__	:	Optional[int]			     =  {}
  				for i, token in enumerate(_a	):
  					__magic_name__	:	Tuple			     =  i
  				__magic_name__	:	Tuple			     =  WordpieceTokenizer(vocab=_a		,     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     SCREAMING_SNAKE_CASE					(       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     SCREAMING_SNAKE_CASE					(       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     SCREAMING_SNAKE_CASE					(       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     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	List[Any]			     =  self.get_tokenizer()
  				__magic_name__	:	List[str]			     =  self.get_rust_tokenizer()
  
  				# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
  				self.assertListEqual([tokenizer.tokenize(_a	) for t in ["Test", "\xad", "test"]]		,     [["[UNK]"], [], ["[UNK]"]]	)
  
  				self.assertListEqual(
  				    [rust_tokenizer.tokenize(_a	) for t in ["Test", "\xad", "test"]]		,     [["[UNK]"], [], ["[UNK]"]]	)
  
  
  
  
  
  
  
  			@slow
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	int			     =  self.tokenizer_class.from_pretrained("google/electra-base-discriminator"	)
  
  				__magic_name__	:	List[Any]			     =  tokenizer.encode("sequence builders"		,     add_special_tokens=_a	)
  				__magic_name__	:	List[Any]			     =  tokenizer.encode("multi-sequence build"		,     add_special_tokens=_a	)
  
  				__magic_name__	:	Optional[int]			     =  tokenizer.build_inputs_with_special_tokens(_a	)
  				__magic_name__	:	Tuple			     =  tokenizer.build_inputs_with_special_tokens(_a		,     _a	)
  
  				assert encoded_sentence == [101] + text + [102]
  				assert encoded_pair == [101] + text + [102] + text_a + [102]
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  					with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
  						__magic_name__	:	str			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)
  
  						__magic_name__	:	Optional[Any]			     =  f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
  						__magic_name__	:	Any			     =  tokenizer_r.encode_plus(
  						    _a		,     return_attention_mask=_a		,     return_token_type_ids=_a		,     return_offsets_mapping=_a		,     add_special_tokens=_a		,     )
  
  						__magic_name__	:	Any			     =  tokenizer_r.do_lower_case if hasattr(_a		,     "do_lower_case"	) else False
  						__magic_name__	:	int			     =  (
  						    [
  						        ((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"]	)
  
  
  
  
  
  
  
  			def     SCREAMING_SNAKE_CASE					(       self	):
  				__magic_name__	:	str			     =  ["的", "人", "有"]
  				__magic_name__	:	List[str]			     =  "".join(_a	)
  				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  					with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
  						__magic_name__	:	Optional[int]			     =  True
  						__magic_name__	:	Optional[int]			     =  self.tokenizer_class.from_pretrained(_a		,     **_a	)
  						__magic_name__	:	Union[str, Any]			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)
  
  						__magic_name__	:	Tuple			     =  tokenizer_p.encode(_a		,     add_special_tokens=_a	)
  						__magic_name__	:	List[Any]			     =  tokenizer_r.encode(_a		,     add_special_tokens=_a	)
  
  						__magic_name__	:	List[str]			     =  tokenizer_r.convert_ids_to_tokens(_a	)
  						__magic_name__	:	List[Any]			     =  tokenizer_p.convert_ids_to_tokens(_a	)
  
  						# it is expected that each Chinese character is not preceded by "##"
  						self.assertListEqual(_a		,     _a	)
  						self.assertListEqual(_a		,     _a	)
  
  						__magic_name__	:	Tuple			     =  False
  						__magic_name__	:	Tuple			     =  self.rust_tokenizer_class.from_pretrained(_a		,     **_a	)
  						__magic_name__	:	str			     =  self.tokenizer_class.from_pretrained(_a		,     **_a	)
  
  						__magic_name__	:	Dict			     =  tokenizer_r.encode(_a		,     add_special_tokens=_a	)
  						__magic_name__	:	Dict			     =  tokenizer_p.encode(_a		,     add_special_tokens=_a	)
  
  						__magic_name__	:	List[str]			     =  tokenizer_r.convert_ids_to_tokens(_a	)
  						__magic_name__	:	List[Any]			     =  tokenizer_p.convert_ids_to_tokens(_a	)
  
  						# it is expected that only the first Chinese character is not preceded by "##".
  						__magic_name__	:	Tuple			     =  [
  						    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(_a	)
  						]
  						self.assertListEqual(_a		,     _a	)
  						self.assertListEqual(_a		,     _a	)
  