


'''simple docstring'''
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        lowerCAmelCase_  (     UpperCAmelCase      ,							unittest.TestCase	):
       __UpperCAmelCase					=MobileBertTokenizer
       __UpperCAmelCase					=MobileBertTokenizerFast
       __UpperCAmelCase					=True
       __UpperCAmelCase					=True
       __UpperCAmelCase					=filter_non_english
       __UpperCAmelCase					='google/mobilebert-uncased'






       def   UpperCamelCase						( self   )->      Any:
            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]   )   )

            _A				=							[
                (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   UpperCamelCase						( self			,     _UpperCamelCase   )->      int:
            _A				=							'UNwant\u00E9d,running'
            _A				=							'unwanted, running'
            return input_text, output_text






       def   UpperCamelCase						( self   )->      Tuple:
            _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   UpperCamelCase						( self   )->      Any:
            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   UpperCamelCase						( self   )->      str:
            _A				=							BasicTokenizer()

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






       def   UpperCamelCase						( self   )->      List[str]:
            _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   UpperCamelCase						( self   )->      List[Any]:
            _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   UpperCamelCase						( self   )->      List[Any]:
            _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   UpperCamelCase						( self   )->      Optional[int]:
            _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   UpperCamelCase						( self   )->      Tuple:
            _A				=							BasicTokenizer(do_lower_case=_UpperCamelCase   )

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






       def   UpperCamelCase						( self   )->      Union[str, Any]:
            _A				=							BasicTokenizer(do_lower_case=_UpperCamelCase			,     strip_accents=_UpperCamelCase   )

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






       def   UpperCamelCase						( self   )->      Tuple:
            _A				=							BasicTokenizer(do_lower_case=_UpperCamelCase			,     strip_accents=_UpperCamelCase   )

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






       def   UpperCamelCase						( self   )->      Tuple:
            _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   UpperCamelCase						( self   )->      Optional[Any]:
            _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   UpperCamelCase						( self   )->      Optional[int]:
            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   UpperCamelCase						( self   )->      List[Any]:
            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   UpperCamelCase						( self   )->      List[str]:
            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   UpperCamelCase						( self   )->      Dict:
            _A				=							self.get_tokenizer()
            _A				=							self.get_rust_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]']]   )

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






       @slow
       def   UpperCamelCase						( self   )->      Tuple:
            _A				=							self.tokenizer_class.from_pretrained('google/mobilebert-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   UpperCamelCase						( self   )->      str:
            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']   )






       def   UpperCamelCase						( self   )->      Tuple:
            _A				=							['的', '人', '有']
            _A				=							''.join(_UpperCamelCase   )
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                      _A				=							True
                      _A				=							self.tokenizer_class.from_pretrained(_UpperCamelCase			,     **_UpperCamelCase   )
                      _A				=							self.rust_tokenizer_class.from_pretrained(_UpperCamelCase			,     **_UpperCamelCase   )

                      _A				=							tokenizer_p.encode(_UpperCamelCase			,     add_special_tokens=_UpperCamelCase   )
                      _A				=							tokenizer_r.encode(_UpperCamelCase			,     add_special_tokens=_UpperCamelCase   )

                      _A				=							tokenizer_r.convert_ids_to_tokens(_UpperCamelCase   )
                      _A				=							tokenizer_p.convert_ids_to_tokens(_UpperCamelCase   )

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

                      _A				=							False
                      _A				=							self.rust_tokenizer_class.from_pretrained(_UpperCamelCase			,     **_UpperCamelCase   )
                      _A				=							self.tokenizer_class.from_pretrained(_UpperCamelCase			,     **_UpperCamelCase   )

                      _A				=							tokenizer_r.encode(_UpperCamelCase			,     add_special_tokens=_UpperCamelCase   )
                      _A				=							tokenizer_p.encode(_UpperCamelCase			,     add_special_tokens=_UpperCamelCase   )

                      _A				=							tokenizer_r.convert_ids_to_tokens(_UpperCamelCase   )
                      _A				=							tokenizer_p.convert_ids_to_tokens(_UpperCamelCase   )

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









'''simple docstring'''
from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip





