

import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    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  UpperCAmelCase__	( A__		,  unittest.TestCase ):






  """simple docstring"""


  a     =      MobileBertTokenizer
  a     =      MobileBertTokenizerFast
  a     =      True
  a     =      True
  a     =      filter_non_english
  a     =      "google/mobilebert-uncased"






  def    lowercase_	(							self		:	Optional[Any]      )	->							List[str]:
       super().setUp()

       SCREAMING_SNAKE_CASE__					=					[
           '''[UNK]''',
           '''[CLS]''',
           '''[SEP]''',
           '''[PAD]''',
           '''[MASK]''',
           '''want''',
           '''##want''',
           '''##ed''',
           '''wa''',
           '''un''',
           '''runn''',
           '''##ing''',
           ''',''',
           '''low''',
           '''lowest''',
       ]
       SCREAMING_SNAKE_CASE__					=					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]      )      )

       SCREAMING_SNAKE_CASE__					=					[
           (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
           for tokenizer_def in self.tokenizers_list
       ]






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Any      )	->							Any:
       SCREAMING_SNAKE_CASE__					=					'''UNwant\u00E9d,running'''
       SCREAMING_SNAKE_CASE__					=					'''unwanted, running'''
       return input_text, output_text






  def    lowercase_	(							self		:	Dict      )	->							List[Any]:
       SCREAMING_SNAKE_CASE__					=					self.tokenizer_class(self.vocab_file      )

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






  def    lowercase_	(							self		:	Union[str, Any]      )	->							Dict:
       if not self.test_rust_tokenizer:
            return

       SCREAMING_SNAKE_CASE__					=					self.get_tokenizer()
       SCREAMING_SNAKE_CASE__					=					self.get_rust_tokenizer()

       SCREAMING_SNAKE_CASE__					=					'''UNwant\u00E9d,running'''

       SCREAMING_SNAKE_CASE__					=					tokenizer.tokenize(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					rust_tokenizer.tokenize(__lowerCamelCase      )
       self.assertListEqual(__lowerCamelCase			,     __lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					tokenizer.encode(__lowerCamelCase			,     add_special_tokens=__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					rust_tokenizer.encode(__lowerCamelCase			,     add_special_tokens=__lowerCamelCase      )
       self.assertListEqual(__lowerCamelCase			,     __lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					self.get_rust_tokenizer()
       SCREAMING_SNAKE_CASE__					=					tokenizer.encode(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					rust_tokenizer.encode(__lowerCamelCase      )
       self.assertListEqual(__lowerCamelCase			,     __lowerCamelCase      )

       # With lower casing
       SCREAMING_SNAKE_CASE__					=					self.get_tokenizer(do_lower_case=__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					self.get_rust_tokenizer(do_lower_case=__lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					'''UNwant\u00E9d,running'''

       SCREAMING_SNAKE_CASE__					=					tokenizer.tokenize(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					rust_tokenizer.tokenize(__lowerCamelCase      )
       self.assertListEqual(__lowerCamelCase			,     __lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					tokenizer.encode(__lowerCamelCase			,     add_special_tokens=__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					rust_tokenizer.encode(__lowerCamelCase			,     add_special_tokens=__lowerCamelCase      )
       self.assertListEqual(__lowerCamelCase			,     __lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					self.get_rust_tokenizer()
       SCREAMING_SNAKE_CASE__					=					tokenizer.encode(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					rust_tokenizer.encode(__lowerCamelCase      )
       self.assertListEqual(__lowerCamelCase			,     __lowerCamelCase      )






  def    lowercase_	(							self		:	Optional[int]      )	->							Dict:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer()

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






  def    lowercase_	(							self		:	Union[str, Any]      )	->							Optional[int]:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer(do_lower_case=__lowerCamelCase      )

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






  def    lowercase_	(							self		:	Dict      )	->							Tuple:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer(do_lower_case=__lowerCamelCase			,     strip_accents=__lowerCamelCase      )

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






  def    lowercase_	(							self		:	List[Any]      )	->							List[Any]:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer(do_lower_case=__lowerCamelCase			,     strip_accents=__lowerCamelCase      )

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






  def    lowercase_	(							self		:	Any      )	->							Union[str, Any]:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer(do_lower_case=__lowerCamelCase      )

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






  def    lowercase_	(							self		:	Optional[int]      )	->							Any:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer(do_lower_case=__lowerCamelCase      )

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






  def    lowercase_	(							self		:	List[Any]      )	->							Tuple:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer(do_lower_case=__lowerCamelCase			,     strip_accents=__lowerCamelCase      )

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






  def    lowercase_	(							self		:	Union[str, Any]      )	->							Dict:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer(do_lower_case=__lowerCamelCase			,     strip_accents=__lowerCamelCase      )

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






  def    lowercase_	(							self		:	Tuple      )	->							int:
       SCREAMING_SNAKE_CASE__					=					BasicTokenizer(do_lower_case=__lowerCamelCase			,     never_split=['''[UNK]''']      )

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






  def    lowercase_	(							self		:	Any      )	->							int:
       SCREAMING_SNAKE_CASE__					=					['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

       SCREAMING_SNAKE_CASE__					=					{}
       for i, token in enumerate(__lowerCamelCase      ):
            SCREAMING_SNAKE_CASE__					=					i
       SCREAMING_SNAKE_CASE__					=					WordpieceTokenizer(vocab=__lowerCamelCase			,     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		:	Union[str, Any]      )	->							str:
       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		:	List[str]      )	->							List[str]:
       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		:	Optional[Any]      )	->							List[Any]:
       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		:	str      )	->							Union[str, Any]:
       SCREAMING_SNAKE_CASE__					=					self.get_tokenizer()
       SCREAMING_SNAKE_CASE__					=					self.get_rust_tokenizer()

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

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






  @slow
  def    lowercase_	(							self		:	Union[str, Any]      )	->							Tuple:
       SCREAMING_SNAKE_CASE__					=					self.tokenizer_class.from_pretrained('''google/mobilebert-uncased'''      )

       SCREAMING_SNAKE_CASE__					=					tokenizer.encode('''sequence builders'''			,     add_special_tokens=__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					tokenizer.encode('''multi-sequence build'''			,     add_special_tokens=__lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					tokenizer.build_inputs_with_special_tokens(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					tokenizer.build_inputs_with_special_tokens(__lowerCamelCase			,     __lowerCamelCase      )

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






  def    lowercase_	(							self		:	List[str]      )	->							List[Any]:
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
                 SCREAMING_SNAKE_CASE__					=					self.rust_tokenizer_class.from_pretrained(__lowerCamelCase			,     **__lowerCamelCase      )

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

                 SCREAMING_SNAKE_CASE__					=					tokenizer_r.do_lower_case if hasattr(__lowerCamelCase			,     '''do_lower_case'''      ) else False
                 SCREAMING_SNAKE_CASE__					=					(
                     [
                         ((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    lowercase_	(							self		:	Tuple      )	->							int:
       SCREAMING_SNAKE_CASE__					=					['''的''', '''人''', '''有''']
       SCREAMING_SNAKE_CASE__					=					''''''.join(__lowerCamelCase      )
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
                 SCREAMING_SNAKE_CASE__					=					True
                 SCREAMING_SNAKE_CASE__					=					self.tokenizer_class.from_pretrained(__lowerCamelCase			,     **__lowerCamelCase      )
                 SCREAMING_SNAKE_CASE__					=					self.rust_tokenizer_class.from_pretrained(__lowerCamelCase			,     **__lowerCamelCase      )

                 SCREAMING_SNAKE_CASE__					=					tokenizer_p.encode(__lowerCamelCase			,     add_special_tokens=__lowerCamelCase      )
                 SCREAMING_SNAKE_CASE__					=					tokenizer_r.encode(__lowerCamelCase			,     add_special_tokens=__lowerCamelCase      )

                 SCREAMING_SNAKE_CASE__					=					tokenizer_r.convert_ids_to_tokens(__lowerCamelCase      )
                 SCREAMING_SNAKE_CASE__					=					tokenizer_p.convert_ids_to_tokens(__lowerCamelCase      )

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

                 SCREAMING_SNAKE_CASE__					=					False
                 SCREAMING_SNAKE_CASE__					=					self.rust_tokenizer_class.from_pretrained(__lowerCamelCase			,     **__lowerCamelCase      )
                 SCREAMING_SNAKE_CASE__					=					self.tokenizer_class.from_pretrained(__lowerCamelCase			,     **__lowerCamelCase      )

                 SCREAMING_SNAKE_CASE__					=					tokenizer_r.encode(__lowerCamelCase			,     add_special_tokens=__lowerCamelCase      )
                 SCREAMING_SNAKE_CASE__					=					tokenizer_p.encode(__lowerCamelCase			,     add_special_tokens=__lowerCamelCase      )

                 SCREAMING_SNAKE_CASE__					=					tokenizer_r.convert_ids_to_tokens(__lowerCamelCase      )
                 SCREAMING_SNAKE_CASE__					=					tokenizer_p.convert_ids_to_tokens(__lowerCamelCase      )

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





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_SCREAMING_SNAKE_CASE  :						Dict         =    {
    '''configuration_longformer''': [
        '''LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''LongformerConfig''',
        '''LongformerOnnxConfig''',
    ],
    '''tokenization_longformer''': ['''LongformerTokenizer'''],
}

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE  :						Tuple         =    ['''LongformerTokenizerFast''']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE  :						List[Any]         =    [
           '''LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''LongformerForMaskedLM''',
           '''LongformerForMultipleChoice''',
           '''LongformerForQuestionAnswering''',
           '''LongformerForSequenceClassification''',
           '''LongformerForTokenClassification''',
           '''LongformerModel''',
           '''LongformerPreTrainedModel''',
           '''LongformerSelfAttention''',
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE  :						List[Any]         =    [
           '''TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''TFLongformerForMaskedLM''',
           '''TFLongformerForMultipleChoice''',
           '''TFLongformerForQuestionAnswering''',
           '''TFLongformerForSequenceClassification''',
           '''TFLongformerForTokenClassification''',
           '''TFLongformerModel''',
           '''TFLongformerPreTrainedModel''',
           '''TFLongformerSelfAttention''',
       ]


if TYPE_CHECKING:
       from .configuration_longformer import (
           LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
           LongformerConfig,
           LongformerOnnxConfig,
       )
       from .tokenization_longformer import LongformerTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_longformer_fast import LongformerTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_longformer import (
                  LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  LongformerForMaskedLM,
                  LongformerForMultipleChoice,
                  LongformerForQuestionAnswering,
                  LongformerForSequenceClassification,
                  LongformerForTokenClassification,
                  LongformerModel,
                  LongformerPreTrainedModel,
                  LongformerSelfAttention,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_longformer import (
                  TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFLongformerForMaskedLM,
                  TFLongformerForMultipleChoice,
                  TFLongformerForQuestionAnswering,
                  TFLongformerForSequenceClassification,
                  TFLongformerForTokenClassification,
                  TFLongformerModel,
                  TFLongformerPreTrainedModel,
                  TFLongformerSelfAttention,
              )

else:
       import sys

       _SCREAMING_SNAKE_CASE  :						int         =    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


