





"""simple docstring"""





import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    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							(			__UpperCAmelCase      ,  unittest.TestCase ):

      '''simple docstring'''



      _A     :       Union[str, Any]         =       BertTokenizer
      _A     :       Tuple         =       BertTokenizerFast
      _A     :       str         =       True
      _A     :       Any         =       True
      _A     :       Union[str, Any]         =       filter_non_english

      def       A_					(							self       :      Dict ):


        '''simple docstring'''




        super().setUp()

        __UpperCAmelCase    :						List[Any]       =						[
            '''[UNK]''',
            '''[CLS]''',
            '''[SEP]''',
            '''[PAD]''',
            '''[MASK]''',
            '''want''',
            '''##want''',
            '''##ed''',
            '''wa''',
            '''un''',
            '''runn''',
            '''##ing''',
            ''',''',
            '''low''',
            '''lowest''',
        ]
        __UpperCAmelCase    :						int       =						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       :      List[str]						,				__lowercase       :      List[Any] ):


        '''simple docstring'''




        __UpperCAmelCase    :						int       =						'''UNwant\u00E9d,running'''
        __UpperCAmelCase    :						str       =						'''unwanted, running'''
        return input_text, output_text

      def       A_					(							self       :      List[str] ):


        '''simple docstring'''




        __UpperCAmelCase    :						int       =						self.tokenizer_class(self.vocab_file )

        __UpperCAmelCase    :						Union[str, Any]       =						tokenizer.tokenize('''UNwant\u00E9d,running''' )
        self.assertListEqual(__lowercase						,				['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing'''] )
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase )						,				[9, 6, 7, 12, 10, 11] )

      def       A_					(							self       :      List[Any] ):


        '''simple docstring'''




        if not self.test_rust_tokenizer:
          return

        __UpperCAmelCase    :						int       =						self.get_tokenizer()
        __UpperCAmelCase    :						int       =						self.get_rust_tokenizer()

        __UpperCAmelCase    :						Tuple       =						'''UNwant\u00E9d,running'''

        __UpperCAmelCase    :						Union[str, Any]       =						tokenizer.tokenize(__lowercase )
        __UpperCAmelCase    :						int       =						rust_tokenizer.tokenize(__lowercase )
        self.assertListEqual(__lowercase						,				__lowercase )

        __UpperCAmelCase    :						int       =						tokenizer.encode(__lowercase						,				add_special_tokens=__lowercase )
        __UpperCAmelCase    :						int       =						rust_tokenizer.encode(__lowercase						,				add_special_tokens=__lowercase )
        self.assertListEqual(__lowercase						,				__lowercase )

        __UpperCAmelCase    :						List[Any]       =						self.get_rust_tokenizer()
        __UpperCAmelCase    :						Tuple       =						tokenizer.encode(__lowercase )
        __UpperCAmelCase    :						Optional[int]       =						rust_tokenizer.encode(__lowercase )
        self.assertListEqual(__lowercase						,				__lowercase )

        # With lower casing
        __UpperCAmelCase    :						Union[str, Any]       =						self.get_tokenizer(do_lower_case=__lowercase )
        __UpperCAmelCase    :						List[Any]       =						self.get_rust_tokenizer(do_lower_case=__lowercase )

        __UpperCAmelCase    :						Tuple       =						'''UNwant\u00E9d,running'''

        __UpperCAmelCase    :						Optional[int]       =						tokenizer.tokenize(__lowercase )
        __UpperCAmelCase    :						str       =						rust_tokenizer.tokenize(__lowercase )
        self.assertListEqual(__lowercase						,				__lowercase )

        __UpperCAmelCase    :						Tuple       =						tokenizer.encode(__lowercase						,				add_special_tokens=__lowercase )
        __UpperCAmelCase    :						Optional[int]       =						rust_tokenizer.encode(__lowercase						,				add_special_tokens=__lowercase )
        self.assertListEqual(__lowercase						,				__lowercase )

        __UpperCAmelCase    :						List[str]       =						self.get_rust_tokenizer()
        __UpperCAmelCase    :						Dict       =						tokenizer.encode(__lowercase )
        __UpperCAmelCase    :						Tuple       =						rust_tokenizer.encode(__lowercase )
        self.assertListEqual(__lowercase						,				__lowercase )

      def       A_					(							self       :      Optional[Any] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Tuple       =						BasicTokenizer()

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

      def       A_					(							self       :      Optional[int] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Optional[int]       =						BasicTokenizer(do_lower_case=__lowercase )

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

      def       A_					(							self       :      List[str] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Union[str, Any]       =						BasicTokenizer(do_lower_case=__lowercase						,				strip_accents=__lowercase )

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

      def       A_					(							self       :      Tuple ):


        '''simple docstring'''




        __UpperCAmelCase    :						Union[str, Any]       =						BasicTokenizer(do_lower_case=__lowercase						,				strip_accents=__lowercase )

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

      def       A_					(							self       :      str ):


        '''simple docstring'''




        __UpperCAmelCase    :						str       =						BasicTokenizer(do_lower_case=__lowercase )

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

      def       A_					(							self       :      Tuple ):


        '''simple docstring'''




        __UpperCAmelCase    :						Dict       =						BasicTokenizer(do_lower_case=__lowercase )

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

      def       A_					(							self       :      Optional[Any] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Optional[Any]       =						BasicTokenizer(do_lower_case=__lowercase						,				strip_accents=__lowercase )

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

      def       A_					(							self       :      Optional[Any] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Optional[int]       =						BasicTokenizer(do_lower_case=__lowercase						,				strip_accents=__lowercase )

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

      def       A_					(							self       :      str ):


        '''simple docstring'''




        __UpperCAmelCase    :						str       =						BasicTokenizer(do_lower_case=__lowercase						,				never_split=['''[UNK]'''] )

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

      def       A_					(							self       :      List[str] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Optional[int]       =						BasicTokenizer()
        __UpperCAmelCase    :						int       =						'''a\n\'ll !!to?\'d of, can\'t.'''
        __UpperCAmelCase    :						int       =						['''a''', '''\'''', '''ll''', '''!''', '''!''', '''to''', '''?''', '''\'''', '''d''', '''of''', ''',''', '''can''', '''\'''', '''t''', '''.''']
        self.assertListEqual(tokenizer.tokenize(__lowercase )						,				__lowercase )

      def       A_					(							self       :      Optional[int] ):


        '''simple docstring'''




        __UpperCAmelCase    :						int       =						['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

        __UpperCAmelCase    :						Dict       =						{}
        for i, token in enumerate(__lowercase ):
          __UpperCAmelCase    :						Dict       =						i
        __UpperCAmelCase    :						Optional[int]       =						WordpieceTokenizer(vocab=__lowercase						,				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       :      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       :      Dict ):


        '''simple docstring'''




        __UpperCAmelCase    :						Union[str, Any]       =						self.get_tokenizer()
        __UpperCAmelCase    :						List[str]       =						self.get_rust_tokenizer()

        # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
        self.assertListEqual([tokenizer.tokenize(__lowercase ) for t in ['''Test''', '''\xad''', '''test''']]						,				[['''[UNK]'''], [], ['''[UNK]''']] )

        self.assertListEqual(
            [rust_tokenizer.tokenize(__lowercase ) for t in ['''Test''', '''\xad''', '''test''']]						,				[['''[UNK]'''], [], ['''[UNK]''']] )

      @slow
      def       A_					(							self       :      List[str] ):


        '''simple docstring'''




        __UpperCAmelCase    :						int       =						self.tokenizer_class.from_pretrained('''bert-base-uncased''' )

        __UpperCAmelCase    :						Optional[Any]       =						tokenizer.encode('''sequence builders'''						,				add_special_tokens=__lowercase )
        __UpperCAmelCase    :						List[Any]       =						tokenizer.encode('''multi-sequence build'''						,				add_special_tokens=__lowercase )

        __UpperCAmelCase    :						List[Any]       =						tokenizer.build_inputs_with_special_tokens(__lowercase )
        __UpperCAmelCase    :						Union[str, Any]       =						tokenizer.build_inputs_with_special_tokens(__lowercase						,				__lowercase )

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

      def       A_					(							self       :      Tuple ):


        '''simple docstring'''




        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
            __UpperCAmelCase    :						Any       =						self.rust_tokenizer_class.from_pretrained(__lowercase						,				**__lowercase )

            __UpperCAmelCase    :						str       =						f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
            __UpperCAmelCase    :						Dict       =						tokenizer_r.encode_plus(
                __lowercase						,				return_attention_mask=__lowercase						,				return_token_type_ids=__lowercase						,				return_offsets_mapping=__lowercase						,				add_special_tokens=__lowercase						,				)

            __UpperCAmelCase    :						Union[str, Any]       =						tokenizer_r.do_lower_case if hasattr(__lowercase						,				'''do_lower_case''' ) else False
            __UpperCAmelCase    :						Tuple       =						(
                [
                    ((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       :      Dict ):


        '''simple docstring'''




        __UpperCAmelCase    :						Optional[Any]       =						['''的''', '''人''', '''有''']
        __UpperCAmelCase    :						int       =						''''''.join(__lowercase )
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
            __UpperCAmelCase    :						Tuple       =						True
            __UpperCAmelCase    :						Optional[Any]       =						self.tokenizer_class.from_pretrained(__lowercase						,				**__lowercase )
            __UpperCAmelCase    :						Optional[Any]       =						self.rust_tokenizer_class.from_pretrained(__lowercase						,				**__lowercase )

            __UpperCAmelCase    :						Tuple       =						tokenizer_p.encode(__lowercase						,				add_special_tokens=__lowercase )
            __UpperCAmelCase    :						Optional[Any]       =						tokenizer_r.encode(__lowercase						,				add_special_tokens=__lowercase )

            __UpperCAmelCase    :						Optional[Any]       =						tokenizer_r.convert_ids_to_tokens(__lowercase )
            __UpperCAmelCase    :						int       =						tokenizer_p.convert_ids_to_tokens(__lowercase )

            # it is expected that each Chinese character is not preceded by "##"
            self.assertListEqual(__lowercase						,				__lowercase )
            self.assertListEqual(__lowercase						,				__lowercase )

            __UpperCAmelCase    :						Optional[int]       =						False
            __UpperCAmelCase    :						Union[str, Any]       =						self.rust_tokenizer_class.from_pretrained(__lowercase						,				**__lowercase )
            __UpperCAmelCase    :						Optional[Any]       =						self.tokenizer_class.from_pretrained(__lowercase						,				**__lowercase )

            __UpperCAmelCase    :						Any       =						tokenizer_r.encode(__lowercase						,				add_special_tokens=__lowercase )
            __UpperCAmelCase    :						Union[str, Any]       =						tokenizer_p.encode(__lowercase						,				add_special_tokens=__lowercase )

            __UpperCAmelCase    :						List[str]       =						tokenizer_r.convert_ids_to_tokens(__lowercase )
            __UpperCAmelCase    :						int       =						tokenizer_p.convert_ids_to_tokens(__lowercase )

            # it is expected that only the first Chinese character is not preceded by "##".
            __UpperCAmelCase    :						Optional[Any]       =						[
                f'''##{token}''' if idx != 0 else token for idx, token in enumerate(__lowercase )
            ]
            self.assertListEqual(__lowercase						,				__lowercase )
            self.assertListEqual(__lowercase						,				__lowercase )






"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowercase__				:Tuple				   =       {
    'configuration_xlm': ['XLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'XLMConfig', 'XLMOnnxConfig'],
    'tokenization_xlm': ['XLMTokenizer'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase__				:Optional[Any]				   =       [
      'XLM_PRETRAINED_MODEL_ARCHIVE_LIST',
      'XLMForMultipleChoice',
      'XLMForQuestionAnswering',
      'XLMForQuestionAnsweringSimple',
      'XLMForSequenceClassification',
      'XLMForTokenClassification',
      'XLMModel',
      'XLMPreTrainedModel',
      'XLMWithLMHeadModel',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase__				:List[Any]				   =       [
      'TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST',
      'TFXLMForMultipleChoice',
      'TFXLMForQuestionAnsweringSimple',
      'TFXLMForSequenceClassification',
      'TFXLMForTokenClassification',
      'TFXLMMainLayer',
      'TFXLMModel',
      'TFXLMPreTrainedModel',
      'TFXLMWithLMHeadModel',
  ]


if TYPE_CHECKING:
  from .configuration_xlm import XLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMConfig, XLMOnnxConfig
  from .tokenization_xlm import XLMTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_xlm import (
        XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        XLMForMultipleChoice,
        XLMForQuestionAnswering,
        XLMForQuestionAnsweringSimple,
        XLMForSequenceClassification,
        XLMForTokenClassification,
        XLMModel,
        XLMPreTrainedModel,
        XLMWithLMHeadModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_xlm import (
        TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFXLMForMultipleChoice,
        TFXLMForQuestionAnsweringSimple,
        TFXLMForSequenceClassification,
        TFXLMForTokenClassification,
        TFXLMMainLayer,
        TFXLMModel,
        TFXLMPreTrainedModel,
        TFXLMWithLMHeadModel,
    )

else:
  import sys

  lowercase__				:List[Any]				   =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)