code: 
  
  
  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 					__lowercase					(       a_ ,       unittest.TestCase     ):
  
  
  
  		"""simple docstring"""
  
  		UpperCamelCase    :				Union[str, Any] 					=		ElectraTokenizer
  		UpperCamelCase    :				Any 					=		ElectraTokenizerFast
  		UpperCamelCase    :				str 					=		True
  		UpperCamelCase    :				Any 					=		True
  		UpperCamelCase    :				Dict 					=		filter_non_english
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Optional[int]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					super().setUp()
  
  					lowerCamelCase								=     [
  					    """[UNK]""",
  					    """[CLS]""",
  					    """[SEP]""",
  					    """[PAD]""",
  					    """[MASK]""",
  					    """want""",
  					    """##want""",
  					    """##ed""",
  					    """wa""",
  					    """un""",
  					    """runn""",
  					    """##ing""",
  					    """,""",
  					    """low""",
  					    """lowest""",
  					]
  					lowerCamelCase								=     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 				__A      (   self		,			A  )     ->   Optional[int]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     """UNwant\u00E9d,running"""
  					lowerCamelCase								=     """unwanted, running"""
  					return input_text, output_text
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Dict:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     self.tokenizer_class(self.vocab_file  )
  
  					lowerCamelCase								=     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 				__A      (   self  )     ->   Any:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					if not self.test_rust_tokenizer:
  								return
  
  					lowerCamelCase								=     self.get_tokenizer()
  					lowerCamelCase								=     self.get_rust_tokenizer()
  
  					lowerCamelCase								=     """UNwant\u00E9d,running"""
  
  					lowerCamelCase								=     tokenizer.tokenize(A  )
  					lowerCamelCase								=     rust_tokenizer.tokenize(A  )
  					self.assertListEqual(A		,			A  )
  
  					lowerCamelCase								=     tokenizer.encode(A		,			add_special_tokens=A  )
  					lowerCamelCase								=     rust_tokenizer.encode(A		,			add_special_tokens=A  )
  					self.assertListEqual(A		,			A  )
  
  					lowerCamelCase								=     self.get_rust_tokenizer()
  					lowerCamelCase								=     tokenizer.encode(A  )
  					lowerCamelCase								=     rust_tokenizer.encode(A  )
  					self.assertListEqual(A		,			A  )
  
  					# With lower casing
  					lowerCamelCase								=     self.get_tokenizer(do_lower_case=A  )
  					lowerCamelCase								=     self.get_rust_tokenizer(do_lower_case=A  )
  
  					lowerCamelCase								=     """UNwant\u00E9d,running"""
  
  					lowerCamelCase								=     tokenizer.tokenize(A  )
  					lowerCamelCase								=     rust_tokenizer.tokenize(A  )
  					self.assertListEqual(A		,			A  )
  
  					lowerCamelCase								=     tokenizer.encode(A		,			add_special_tokens=A  )
  					lowerCamelCase								=     rust_tokenizer.encode(A		,			add_special_tokens=A  )
  					self.assertListEqual(A		,			A  )
  
  					lowerCamelCase								=     self.get_rust_tokenizer()
  					lowerCamelCase								=     tokenizer.encode(A  )
  					lowerCamelCase								=     rust_tokenizer.encode(A  )
  					self.assertListEqual(A		,			A  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Any:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     BasicTokenizer()
  
  					self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""  )		,			["""ah""", """\u535A""", """\u63A8""", """zz"""]  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Dict:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     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 				__A      (   self  )     ->   Tuple:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     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 				__A      (   self  )     ->   Dict:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     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 				__A      (   self  )     ->   Union[str, Any]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     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 				__A      (   self  )     ->   List[str]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     BasicTokenizer(do_lower_case=A  )
  
  					self.assertListEqual(
  					    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """  )		,			["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Optional[Any]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     BasicTokenizer(do_lower_case=A		,			strip_accents=A  )
  
  					self.assertListEqual(
  					    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )		,			["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Dict:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     BasicTokenizer(do_lower_case=A		,			strip_accents=A  )
  
  					self.assertListEqual(
  					    tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """  )		,			["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   Any:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     BasicTokenizer(do_lower_case=A		,			never_split=["""[UNK]"""]  )
  
  					self.assertListEqual(
  					    tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""  )		,			["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]  )
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   str:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]
  
  					lowerCamelCase								=     {}
  					for i, token in enumerate(A  ):
  								lowerCamelCase								=     i
  					lowerCamelCase								=     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 				__A      (   self  )     ->   Dict:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					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 				__A      (   self  )     ->   int:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					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 				__A      (   self  )     ->   Optional[Any]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					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 				__A      (   self  )     ->   List[str]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     self.get_tokenizer()
  					lowerCamelCase								=     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 				__A      (   self  )     ->   Union[str, Any]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     self.tokenizer_class.from_pretrained("""google/electra-base-discriminator"""  )
  
  					lowerCamelCase								=     tokenizer.encode("""sequence builders"""		,			add_special_tokens=A  )
  					lowerCamelCase								=     tokenizer.encode("""multi-sequence build"""		,			add_special_tokens=A  )
  
  					lowerCamelCase								=     tokenizer.build_inputs_with_special_tokens(A  )
  					lowerCamelCase								=     tokenizer.build_inputs_with_special_tokens(A		,			A  )
  
  					assert encoded_sentence == [1_01] + text + [1_02]
  					assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]
  
  
  
  
  
  
  
  		def 				__A      (   self  )     ->   int:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  								with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'  ):
  											lowerCamelCase								=     self.rust_tokenizer_class.from_pretrained(A		,			**A  )
  
  											lowerCamelCase								=     F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
  											lowerCamelCase								=     tokenizer_r.encode_plus(
  											    A		,			return_attention_mask=A		,			return_token_type_ids=A		,			return_offsets_mapping=A		,			add_special_tokens=A		,			)
  
  											lowerCamelCase								=     tokenizer_r.do_lower_case if hasattr(A		,			"""do_lower_case"""  ) else False
  											lowerCamelCase								=     (
  											    [
  											        ((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 				__A      (   self  )     ->   int:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     ["""的""", """人""", """有"""]
  					lowerCamelCase								=     """""".join(A  )
  					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  								with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'  ):
  											lowerCamelCase								=     True
  											lowerCamelCase								=     self.tokenizer_class.from_pretrained(A		,			**A  )
  											lowerCamelCase								=     self.rust_tokenizer_class.from_pretrained(A		,			**A  )
  
  											lowerCamelCase								=     tokenizer_p.encode(A		,			add_special_tokens=A  )
  											lowerCamelCase								=     tokenizer_r.encode(A		,			add_special_tokens=A  )
  
  											lowerCamelCase								=     tokenizer_r.convert_ids_to_tokens(A  )
  											lowerCamelCase								=     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  )
  
  											lowerCamelCase								=     False
  											lowerCamelCase								=     self.rust_tokenizer_class.from_pretrained(A		,			**A  )
  											lowerCamelCase								=     self.tokenizer_class.from_pretrained(A		,			**A  )
  
  											lowerCamelCase								=     tokenizer_r.encode(A		,			add_special_tokens=A  )
  											lowerCamelCase								=     tokenizer_p.encode(A		,			add_special_tokens=A  )
  
  											lowerCamelCase								=     tokenizer_r.convert_ids_to_tokens(A  )
  											lowerCamelCase								=     tokenizer_p.convert_ids_to_tokens(A  )
  
  											# it is expected that only the first Chinese character is not preceded by "##".
  											lowerCamelCase								=     [
  											    F'##{token}' if idx != 0 else token for idx, token in enumerate(A  )
  											]
  											self.assertListEqual(A		,			A  )
  											self.assertListEqual(A		,			A  )
  
  
style_context: 
  
  
  import abc
  import copy
  import dataclasses
  from dataclasses import dataclass
  from typing import ClassVar, Dict, Type, TypeVar
  
  from ..features import Features
  
  
  UpperCAmelCase      :						List[Any]    =		TypeVar("T", bound="TaskTemplate")
  
  
  
  
  
  
  
  @dataclass(frozen=a_     )
  class 					__lowercase					(       abc.ABC     ):
  
  
  
  		"""simple docstring"""
  
  		UpperCamelCase    :				str
  		UpperCamelCase    :				ClassVar[Features]
  		UpperCamelCase    :				ClassVar[Features]
  
  
  
  
  
  
  
  		def 				__A      (   self		,			A  )     ->   T:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					return copy.deepcopy(self  )
  
  
  
  
  
  
  
  		@property
  		def 				__A      (   self  )     ->   Features:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					return Features(**self.input_schema		,			**self.label_schema  )
  
  
  
  
  
  
  
  		@property
  		@abc.abstractmethod
  		def 				__A      (   self  )     ->   Dict[str, str]:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					raise NotImplementedError
  
  
  
  
  
  
  
  		@classmethod
  		def 				__A      (   cls		,			A  )     ->   T:
  
  
  
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  
  					lowerCamelCase								=     {f.name for f in dataclasses.fields(cls  )}
  					return cls(**{k: v for k, v in template_dict.items() if k in field_names}  )
  
  