


"""simple docstring"""






import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class 	A_       (     _UpperCAmelCase      ,  unittest.TestCase   ):





  """simple docstring"""

  lowercase		:	List[str]   =						RealmTokenizer
  lowercase		:	List[str]   =						RealmTokenizerFast
  lowercase		:	Dict   =						True
  lowercase		:	Dict   =						True
  lowercase		:	Tuple   =						filter_non_english
  def 							lowercase_     (						self						)				->					int:
     super().setUp()

     a   :	Optional[int]						=    [
         '[UNK]',
         '[CLS]',
         '[SEP]',
         '[PAD]',
         '[MASK]',
         'want',
         '##want',
         '##ed',
         'wa',
         'un',
         'runn',
         '##ing',
         ',',
         'low',
         'lowest',
     ]
     a   :	Optional[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 							lowercase_     (						self  ,					__UpperCAmelCase						)				->					Any:
     a   :	List[str]						=    'UNwant\u00E9d,running'
     a   :	Union[str, Any]						=    'unwanted, running'
     return input_text, output_text
  def 							lowercase_     (						self						)				->					List[Any]:
     a   :	Optional[int]						=    self.tokenizer_class(self.vocab_file						)

     a   :	Any						=    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 							lowercase_     (						self						)				->					Union[str, Any]:






     if not self.test_rust_tokenizer:
        return

     a   :	List[str]						=    self.get_tokenizer()
     a   :	Any						=    self.get_rust_tokenizer()

     a   :	str						=    'UNwant\u00E9d,running'

     a   :	List[str]						=    tokenizer.tokenize(__UpperCAmelCase						)
     a   :	Optional[Any]						=    rust_tokenizer.tokenize(__UpperCAmelCase						)
     self.assertListEqual(__UpperCAmelCase  ,					__UpperCAmelCase						)

     a   :	Any						=    tokenizer.encode(__UpperCAmelCase  ,					add_special_tokens=__UpperCAmelCase						)
     a   :	Any						=    rust_tokenizer.encode(__UpperCAmelCase  ,					add_special_tokens=__UpperCAmelCase						)
     self.assertListEqual(__UpperCAmelCase  ,					__UpperCAmelCase						)

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

     # With lower casing
     a   :	Dict						=    self.get_tokenizer(do_lower_case=__UpperCAmelCase						)
     a   :	Any						=    self.get_rust_tokenizer(do_lower_case=__UpperCAmelCase						)

     a   :	Optional[Any]						=    'UNwant\u00E9d,running'

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

     a   :	Optional[Any]						=    tokenizer.encode(__UpperCAmelCase  ,					add_special_tokens=__UpperCAmelCase						)
     a   :	Dict						=    rust_tokenizer.encode(__UpperCAmelCase  ,					add_special_tokens=__UpperCAmelCase						)
     self.assertListEqual(__UpperCAmelCase  ,					__UpperCAmelCase						)

     a   :	Optional[Any]						=    self.get_rust_tokenizer()
     a   :	Optional[Any]						=    tokenizer.encode(__UpperCAmelCase						)
     a   :	Dict						=    rust_tokenizer.encode(__UpperCAmelCase						)
     self.assertListEqual(__UpperCAmelCase  ,					__UpperCAmelCase						)
  def 							lowercase_     (						self						)				->					Optional[Any]:
     a   :	Dict						=    BasicTokenizer()

     self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'						)  ,					['ah', '\u535A', '\u63A8', 'zz']						)
  def 							lowercase_     (						self						)				->					List[str]:
     a   :	List[str]						=    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 							lowercase_     (						self						)				->					Dict:
     a   :	Optional[Any]						=    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 							lowercase_     (						self						)				->					str:
     a   :	Optional[Any]						=    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 							lowercase_     (						self						)				->					Union[str, Any]:
     a   :	Dict						=    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 							lowercase_     (						self						)				->					str:
     a   :	Any						=    BasicTokenizer(do_lower_case=__UpperCAmelCase						)

     self.assertListEqual(
         tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '						)  ,					['HeLLo', '!', 'how', 'Are', 'yoU', '?']						)
  def 							lowercase_     (						self						)				->					Union[str, Any]:
     a   :	int						=    BasicTokenizer(do_lower_case=__UpperCAmelCase  ,					strip_accents=__UpperCAmelCase						)

     self.assertListEqual(
         tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '						)  ,					['HäLLo', '!', 'how', 'Are', 'yoU', '?']						)
  def 							lowercase_     (						self						)				->					Union[str, Any]:
     a   :	int						=    BasicTokenizer(do_lower_case=__UpperCAmelCase  ,					strip_accents=__UpperCAmelCase						)

     self.assertListEqual(
         tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '						)  ,					['HaLLo', '!', 'how', 'Are', 'yoU', '?']						)
  def 							lowercase_     (						self						)				->					Any:
     a   :	Tuple						=    BasicTokenizer(do_lower_case=__UpperCAmelCase  ,					never_split=['[UNK]']						)

     self.assertListEqual(
         tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'						)  ,					['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']						)
  def 							lowercase_     (						self						)				->					Dict:
     a   :	Any						=    ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

     a   :	List[Any]						=    {}
     for i, token in enumerate(__UpperCAmelCase						):
        a   :	str						=    i
     a   :	str						=    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 							lowercase_     (						self						)				->					List[Any]:
     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						)				->					Optional[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 							lowercase_     (						self						)				->					Tuple:
     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						)				->					Any:
     a   :	Union[str, Any]						=    self.get_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]']]						)

     if self.test_rust_tokenizer:
        a   :	Union[str, Any]						=    self.get_rust_tokenizer()
        self.assertListEqual(
            [rust_tokenizer.tokenize(__UpperCAmelCase						) for t in ['Test', '\xad', 'test']]  ,					[['[UNK]'], [], ['[UNK]']]						)
  @slow
  def 							lowercase_     (						self						)				->					Any:
     a   :	Tuple						=    self.tokenizer_class.from_pretrained('bert-base-uncased'						)

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

     a   :	List[Any]						=    tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase						)
     a   :	Tuple						=    tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase  ,					__UpperCAmelCase						)

     assert encoded_sentence == [1_01] + text + [1_02]
     assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]
  def 							lowercase_     (						self						)				->					Dict:






     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'						):
           a   :	List[str]						=    self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase  ,					**__UpperCAmelCase						)

           a   :	Optional[int]						=    f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
           a   :	Tuple						=    tokenizer_r.encode_plus(
               __UpperCAmelCase  ,					return_attention_mask=__UpperCAmelCase  ,					return_token_type_ids=__UpperCAmelCase  ,					return_offsets_mapping=__UpperCAmelCase  ,					add_special_tokens=__UpperCAmelCase  ,					)

           a   :	int						=    tokenizer_r.do_lower_case if hasattr(__UpperCAmelCase  ,					'do_lower_case'						) else False
           a   :	List[Any]						=    (
               [
                   ((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']						)






  @slow
  def 							lowercase_     (						self						)				->					str:






     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'						):
           a   :	List[str]						=    self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase  ,					**__UpperCAmelCase						)
           a   :	int						=    self.tokenizer_class.from_pretrained(__UpperCAmelCase  ,					**__UpperCAmelCase						)
           a   :	Any						=    [['Hello world!', 'Nice to meet you!'], ['The cute cat.', 'The adorable dog.']]

           a   :	Dict						=    tokenizer_r.batch_encode_candidates(__UpperCAmelCase  ,					max_length=10  ,					return_tensors='np'						)
           a   :	str						=    tokenizer_p.batch_encode_candidates(__UpperCAmelCase  ,					max_length=10  ,					return_tensors='np'						)

           a   :	Optional[int]						=    (2, 2, 10)

           self.assertEqual(encoded_sentence_r['input_ids'].shape  ,					__UpperCAmelCase						)
           self.assertEqual(encoded_sentence_r['attention_mask'].shape  ,					__UpperCAmelCase						)
           self.assertEqual(encoded_sentence_r['token_type_ids'].shape  ,					__UpperCAmelCase						)

           self.assertEqual(encoded_sentence_p['input_ids'].shape  ,					__UpperCAmelCase						)
           self.assertEqual(encoded_sentence_p['attention_mask'].shape  ,					__UpperCAmelCase						)
           self.assertEqual(encoded_sentence_p['token_type_ids'].shape  ,					__UpperCAmelCase						)










from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__  =			logging.get_logger(__name__)

UpperCAmelCase__  =			{
    "dandelin/vilt-b32-mlm": "https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json"
}







class      __lowerCAmelCase       (     A		):
			UpperCamelCase     =	'''vilt'''



			def __init__(		self  :    List[Any]					,						A  :    Dict=3_05_22					,						A  :    Union[str, Any]=2					,						A  :    Tuple=2					,						A  :    List[Any]=40					,						A  :    Optional[int]=7_68					,						A  :    Any=12					,						A  :    Optional[int]=12					,						A  :    Optional[Any]=30_72					,						A  :    Optional[Any]="gelu"					,						A  :    str=0.0					,						A  :    Any=0.0					,						A  :    Union[str, Any]=0.0_2					,						A  :    Union[str, Any]=1E-12					,						A  :    Optional[Any]=3_84					,						A  :    Dict=32					,						A  :    int=3					,						A  :    int=True					,						A  :    Union[str, Any]=-1					,						A  :    int=False					,						A  :    int=-1					,						**A  :    Tuple					,						)  ->       Dict:



						"""simple docstring"""






						super().__init__(tie_word_embeddings=A					,						**A)

						_UpperCAmelCase									=  vocab_size
						_UpperCAmelCase									=  type_vocab_size
						_UpperCAmelCase									=  modality_type_vocab_size
						_UpperCAmelCase									=  max_position_embeddings

						_UpperCAmelCase									=  hidden_size
						_UpperCAmelCase									=  num_hidden_layers
						_UpperCAmelCase									=  num_attention_heads
						_UpperCAmelCase									=  intermediate_size
						_UpperCAmelCase									=  hidden_act
						_UpperCAmelCase									=  hidden_dropout_prob
						_UpperCAmelCase									=  attention_probs_dropout_prob
						_UpperCAmelCase									=  initializer_range
						_UpperCAmelCase									=  layer_norm_eps

						_UpperCAmelCase									=  image_size
						_UpperCAmelCase									=  patch_size
						_UpperCAmelCase									=  num_channels
						_UpperCAmelCase									=  qkv_bias
						_UpperCAmelCase									=  max_image_length
						_UpperCAmelCase									=  num_images
