'''simple docstring'''




import unittest

from transformers import (
    MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
    TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
    TextClassificationPipeline,
    pipeline,
)
from transformers.testing_utils import is_pipeline_test, nested_simplify, require_tf, require_torch, slow

from .test_pipelines_common import ANY


# These 2 model types require different inputs than those of the usual text models.
__UpperCAmelCase												={"LayoutLMv2Config", "LayoutLMv3Config"}




@is_pipeline_test
class    a__				(       unittest.TestCase			):
     lowerCamelCase  :					Tuple							=MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING
     lowerCamelCase  :					List[Any]							=TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING

     if model_mapping is not None:
          lowerCamelCase  :					int							={config: model for config, model in model_mapping.items() if config.__name__ not in _TO_SKIP}
     if tf_model_mapping is not None:
          lowerCamelCase  :					Tuple							={
              config: model for config, model in tf_model_mapping.items() if config.__name__ not in _TO_SKIP
          }






     @require_torch
     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]   ):





         """simple docstring"""



         __lowerCamelCase          =  pipeline(
             task='''text-classification'''  ,    model='''hf-internal-testing/tiny-random-distilbert'''  ,    framework='''pt'''   )

         __lowerCamelCase          =  text_classifier('''This is great !'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''LABEL_0''', '''score''': 0.5_04}]   )

         __lowerCamelCase          =  text_classifier('''This is great !'''  ,    top_k=2   )
         self.assertEqual(
             nested_simplify(a   )  ,    [{'''label''': '''LABEL_0''', '''score''': 0.5_04}, {'''label''': '''LABEL_1''', '''score''': 0.4_96}]   )

         __lowerCamelCase          =  text_classifier(['''This is great !''', '''This is bad''']  ,    top_k=2   )
         self.assertEqual(
             nested_simplify(a   )  ,    [
                 [{'''label''': '''LABEL_0''', '''score''': 0.5_04}, {'''label''': '''LABEL_1''', '''score''': 0.4_96}],
                 [{'''label''': '''LABEL_0''', '''score''': 0.5_04}, {'''label''': '''LABEL_1''', '''score''': 0.4_96}],
             ]  ,    )

         __lowerCamelCase          =  text_classifier('''This is great !'''  ,    top_k=1   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''LABEL_0''', '''score''': 0.5_04}]   )

         # Legacy behavior
         __lowerCamelCase          =  text_classifier('''This is great !'''  ,    return_all_scores=a   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''LABEL_0''', '''score''': 0.5_04}]   )

         __lowerCamelCase          =  text_classifier('''This is great !'''  ,    return_all_scores=a   )
         self.assertEqual(
             nested_simplify(a   )  ,    [[{'''label''': '''LABEL_0''', '''score''': 0.5_04}, {'''label''': '''LABEL_1''', '''score''': 0.4_96}]]   )

         __lowerCamelCase          =  text_classifier(['''This is great !''', '''Something else''']  ,    return_all_scores=a   )
         self.assertEqual(
             nested_simplify(a   )  ,    [
                 [{'''label''': '''LABEL_0''', '''score''': 0.5_04}, {'''label''': '''LABEL_1''', '''score''': 0.4_96}],
                 [{'''label''': '''LABEL_0''', '''score''': 0.5_04}, {'''label''': '''LABEL_1''', '''score''': 0.4_96}],
             ]  ,    )

         __lowerCamelCase          =  text_classifier(['''This is great !''', '''Something else''']  ,    return_all_scores=a   )
         self.assertEqual(
             nested_simplify(a   )  ,    [
                 {'''label''': '''LABEL_0''', '''score''': 0.5_04},
                 {'''label''': '''LABEL_0''', '''score''': 0.5_04},
             ]  ,    )






     @require_torch
     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         import torch

         __lowerCamelCase          =  pipeline(
             task='''text-classification'''  ,    model='''hf-internal-testing/tiny-random-distilbert'''  ,    framework='''pt'''  ,    device=torch.device('''cpu'''   )  ,    )

         __lowerCamelCase          =  text_classifier('''This is great !'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''LABEL_0''', '''score''': 0.5_04}]   )






     @require_tf
     def        SCREAMING_SNAKE_CASE__       (			self		:		Union[str, Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  pipeline(
             task='''text-classification'''  ,    model='''hf-internal-testing/tiny-random-distilbert'''  ,    framework='''tf'''   )

         __lowerCamelCase          =  text_classifier('''This is great !'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''LABEL_0''', '''score''': 0.5_04}]   )






     @slow
     @require_torch
     def        SCREAMING_SNAKE_CASE__       (			self		:		Any   ):





         """simple docstring"""



         __lowerCamelCase          =  pipeline('''text-classification'''   )

         __lowerCamelCase          =  text_classifier('''This is great !'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''POSITIVE''', '''score''': 1.0}]   )
         __lowerCamelCase          =  text_classifier('''This is bad !'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''NEGATIVE''', '''score''': 1.0}]   )
         __lowerCamelCase          =  text_classifier('''Birds are a type of animal'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''POSITIVE''', '''score''': 0.9_88}]   )






     @slow
     @require_tf
     def        SCREAMING_SNAKE_CASE__       (			self		:		Tuple   ):





         """simple docstring"""



         __lowerCamelCase          =  pipeline('''text-classification'''  ,    framework='''tf'''   )

         __lowerCamelCase          =  text_classifier('''This is great !'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''POSITIVE''', '''score''': 1.0}]   )
         __lowerCamelCase          =  text_classifier('''This is bad !'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''NEGATIVE''', '''score''': 1.0}]   )
         __lowerCamelCase          =  text_classifier('''Birds are a type of animal'''   )
         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': '''POSITIVE''', '''score''': 0.9_88}]   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]  ,    a		:		Optional[Any]  ,    a		:		Dict  ,    a		:		Union[str, Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  TextClassificationPipeline(model=a  ,    tokenizer=a   )
         return text_classifier, ["HuggingFace is in", "This is another test"]






     def        SCREAMING_SNAKE_CASE__       (			self		:		Tuple  ,    a		:		Optional[Any]  ,    a		:		Optional[int]   ):





         """simple docstring"""



         __lowerCamelCase          =  text_classifier.model
         # Small inputs because BartTokenizer tiny has maximum position embeddings = 22
         __lowerCamelCase          =  '''HuggingFace is in'''
         __lowerCamelCase          =  text_classifier(a   )

         self.assertEqual(nested_simplify(a   )  ,    [{'''label''': ANY(a   ), '''score''': ANY(a   )}]   )
         self.assertTrue(outputs[0]['''label'''] in model.config.idalabel.values()   )

         __lowerCamelCase          =  ['''HuggingFace is in ''', '''Paris is in France''']
         __lowerCamelCase          =  text_classifier(a   )
         self.assertEqual(
             nested_simplify(a   )  ,    [{'''label''': ANY(a   ), '''score''': ANY(a   )}, {'''label''': ANY(a   ), '''score''': ANY(a   )}]  ,    )
         self.assertTrue(outputs[0]['''label'''] in model.config.idalabel.values()   )
         self.assertTrue(outputs[1]['''label'''] in model.config.idalabel.values()   )

         # Forcing to get all results with `top_k=None`
         # This is NOT the legacy format
         __lowerCamelCase          =  text_classifier(a  ,    top_k=a   )
         __lowerCamelCase          =  len(model.config.idalabel.values()   )
         self.assertEqual(
             nested_simplify(a   )  ,    [[{'''label''': ANY(a   ), '''score''': ANY(a   )}] * N, [{'''label''': ANY(a   ), '''score''': ANY(a   )}] * N]  ,    )

         __lowerCamelCase          =  {'''text''': '''HuggingFace is in ''', '''text_pair''': '''Paris is in France'''}
         __lowerCamelCase          =  text_classifier(a   )
         self.assertEqual(
             nested_simplify(a   )  ,    {'''label''': ANY(a   ), '''score''': ANY(a   )}  ,    )
         self.assertTrue(outputs['''label'''] in model.config.idalabel.values()   )

         # This might be used a text pair, but tokenizer + pipe interaction
         # makes it hard to understand that it's not using the pair properly
         # https://github.com/huggingface/transformers/issues/17305
         # We disabled this usage instead as it was outputting wrong outputs.
         __lowerCamelCase          =  [['''HuggingFace is in ''', '''Paris is in France''']]
         with self.assertRaises(a   ):
             text_classifier(a   )

         # This used to be valid for doing text pairs
         # We're keeping it working because of backward compatibility
         __lowerCamelCase          =  text_classifier([[['''HuggingFace is in ''', '''Paris is in France''']]]   )
         self.assertEqual(
             nested_simplify(a   )  ,    [{'''label''': ANY(a   ), '''score''': ANY(a   )}]  ,    )
         self.assertTrue(outputs[0]['''label'''] in model.config.idalabel.values()   )

'''simple docstring'''




import unittest

from transformers import DebertaVaTokenizer, DebertaVaTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__UpperCAmelCase												=get_tests_dir("fixtures/spiece.model")




@require_sentencepiece
@require_tokenizers
class    a__				(       UpperCAmelCase__							,       unittest.TestCase			):
     lowerCamelCase  :					Optional[Any]							=DebertaVaTokenizer
     lowerCamelCase  :					Optional[int]							=DebertaVaTokenizerFast
     lowerCamelCase  :					Optional[Any]							=True
     lowerCamelCase  :					Tuple							=True






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]   ):





         """simple docstring"""



         super().setUp()

         # We have a SentencePiece fixture for testing
         __lowerCamelCase          =  DebertaVaTokenizer(a  ,    unk_token='''<unk>'''   )
         tokenizer.save_pretrained(self.tmpdirname   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]  ,    a		:		Dict   ):





         """simple docstring"""



         __lowerCamelCase          =  '''this is a test'''
         __lowerCamelCase          =  '''this is a test'''
         return input_text, output_text






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]   ):





         """simple docstring"""



         __lowerCamelCase          =  '''<pad>'''
         __lowerCamelCase          =  0

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(a   )  ,    a   )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(a   )  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  list(self.get_tokenizer().get_vocab().keys()   )
         self.assertEqual(vocab_keys[0]  ,    '''<pad>'''   )
         self.assertEqual(vocab_keys[1]  ,    '''<unk>'''   )
         self.assertEqual(vocab_keys[-1]  ,    '''[PAD]'''   )
         self.assertEqual(len(a   )  ,    3_00_01   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		int   ):





         """simple docstring"""



         self.assertEqual(self.get_tokenizer().vocab_size  ,    3_00_00   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  ''' \tHeLLo!how  \n Are yoU?  '''
         __lowerCamelCase          =  ['''▁hello''', '''!''', '''how''', '''▁are''', '''▁you''', '''?''']
         # fmt: on

         __lowerCamelCase          =  DebertaVaTokenizer(a  ,    do_lower_case=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  DebertaVaTokenizerFast(a  ,    do_lower_case=a   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )






     @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''   )
     def        SCREAMING_SNAKE_CASE__       (			self		:		Dict   ):





         """simple docstring"""



         pass






     @unittest.skip('''There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.'''   )
     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         pass






     def        SCREAMING_SNAKE_CASE__       (			self		:		Union[str, Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  '''I was born in 92000, and this is falsé.'''
         __lowerCamelCase          =  ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         __lowerCamelCase          =  DebertaVaTokenizer(a  ,    split_by_punct=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  DebertaVaTokenizerFast(a  ,    split_by_punct=a   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Any   ):





         """simple docstring"""



         __lowerCamelCase          =  '''I was born in 92000, and this is falsé.'''
         __lowerCamelCase          =  ['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         __lowerCamelCase          =  DebertaVaTokenizer(a  ,    do_lower_case=a  ,    split_by_punct=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(tokenizer.encode(a  ,    add_special_tokens=a   )   )
         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  DebertaVaTokenizerFast(a  ,    do_lower_case=a  ,    split_by_punct=a   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(a  ,    add_special_tokens=a   )   )
         self.assertListEqual(a  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         __lowerCamelCase          =  '''I was born in 92000, and this is falsé.'''
         __lowerCamelCase          =  ['''▁i''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
         # fmt: on

         __lowerCamelCase          =  DebertaVaTokenizer(a  ,    do_lower_case=a  ,    split_by_punct=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  DebertaVaTokenizerFast(a  ,    do_lower_case=a  ,    split_by_punct=a   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  '''I was born in 92000, and this is falsé.'''
         __lowerCamelCase          =  ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', '''▁''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''▁''', '''.''', ]
         # fmt: on

         __lowerCamelCase          =  DebertaVaTokenizer(a  ,    do_lower_case=a  ,    split_by_punct=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  DebertaVaTokenizerFast(a  ,    do_lower_case=a  ,    split_by_punct=a   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  ''' \tHeLLo!how  \n Are yoU?  '''
         __lowerCamelCase          =  ['''▁''', '''<unk>''', '''e''', '''<unk>''', '''o''', '''!''', '''how''', '''▁''', '''<unk>''', '''re''', '''▁yo''', '''<unk>''', '''?''']
         # fmt: on

         __lowerCamelCase          =  DebertaVaTokenizer(a  ,    do_lower_case=a  ,    split_by_punct=a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  DebertaVaTokenizerFast(a  ,    do_lower_case=a  ,    split_by_punct=a   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(a  ,    add_special_tokens=a   )   )

         self.assertListEqual(a  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  self.get_tokenizer()
         __lowerCamelCase          =  self.get_rust_tokenizer()

         __lowerCamelCase          =  '''I was born in 92000, and this is falsé.'''

         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(tokenizer.encode(a  ,    add_special_tokens=a   )   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(a  ,    add_special_tokens=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        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  '''This is a test'''
         __lowerCamelCase          =  [13, 1, 43_98, 25, 21, 12_89]
         __lowerCamelCase          =  ['''▁''', '''T''', '''his''', '''▁is''', '''▁a''', '''▁test''']
         __lowerCamelCase          =  ['''▁''', '''<unk>''', '''his''', '''▁is''', '''▁a''', '''▁test''']

         __lowerCamelCase          =  DebertaVaTokenizer(a  ,    keep_accents=a   )
         __lowerCamelCase          =  DebertaVaTokenizerFast(a  ,    keep_accents=a   )

         __lowerCamelCase          =  tokenizer.encode(a  ,    add_special_tokens=a   )
         self.assertListEqual(a  ,    a   )
         __lowerCamelCase          =  tokenizer.tokenize(a   )
         self.assertListEqual(a  ,    a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(a   )
         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  rust_tokenizer.encode(a  ,    add_special_tokens=a   )
         self.assertListEqual(a  ,    a   )
         __lowerCamelCase          =  rust_tokenizer.tokenize(a   )
         self.assertListEqual(a  ,    a   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(a   )
         self.assertListEqual(a  ,    a   )

         # fmt: off
         __lowerCamelCase          =  '''I was born in 92000, and this is falsé.'''
         __lowerCamelCase          =  [13, 1, 23, 3_86, 19, 5_61, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]
         __lowerCamelCase          =  ['''▁''', '''I''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''é''', '''.''', ]
         __lowerCamelCase          =  ['''▁''', '''<unk>''', '''▁was''', '''▁born''', '''▁in''', '''▁9''', '''2000''', ''',''', '''▁and''', '''▁this''', '''▁is''', '''▁fal''', '''s''', '''<unk>''', '''.''', ]
         # fmt: on

         __lowerCamelCase          =  tokenizer.encode(a  ,    add_special_tokens=a   )
         self.assertListEqual(a  ,    a   )
         __lowerCamelCase          =  tokenizer.tokenize(a   )
         self.assertListEqual(a  ,    a   )
         __lowerCamelCase          =  tokenizer.convert_ids_to_tokens(a   )
         self.assertListEqual(a  ,    a   )

         __lowerCamelCase          =  rust_tokenizer.encode(a  ,    add_special_tokens=a   )
         self.assertListEqual(a  ,    a   )
         __lowerCamelCase          =  rust_tokenizer.tokenize(a   )
         self.assertListEqual(a  ,    a   )
         __lowerCamelCase          =  rust_tokenizer.convert_ids_to_tokens(a   )
         self.assertListEqual(a  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         __lowerCamelCase          =  DebertaVaTokenizer(a   )

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

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

         self.assertEqual([tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]  ,    a   )
         self.assertEqual(
             [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [tokenizer.sep_token_id]  ,    a  ,    )






     @slow
     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]   ):





         """simple docstring"""



         __lowerCamelCase          =  {'''input_ids''': [[1, 3_98_67, 36, 1_93_90, 4_86, 27, 3_50_52, 8_14_36, 18, 6_06_85, 12_25, 7, 3_50_52, 8_14_36, 18, 93_67, 1_68_99, 18, 1_59_37, 53, 5_94, 7_73, 18, 1_62_87, 3_04_65, 36, 1_59_37, 6, 4_11_39, 38, 3_69_79, 6_07_63, 1_91, 6, 3_41_32, 99, 6, 5_05_38, 3_90, 4_32_30, 6, 3_41_32, 27_79, 2_08_50, 14, 6_99, 10_72, 11_94, 36, 3_82, 1_09_01, 53, 7, 6_99, 10_72, 20_84, 36, 2_04_22, 6_30, 53, 19, 1_05, 30_49, 18_96, 10_53, 1_68_99, 15_06, 11, 3_79_78, 42_43, 7, 12_37, 3_18_69, 2_00, 1_65_66, 6_54, 6, 3_50_52, 8_14_36, 7, 5_56_30, 1_35_93, 4, 2], [1, 26, 1_50_11, 13, 6_67, 8, 10_53, 18, 2_36_11, 12_37, 7_23_56, 1_28_20, 34, 10_41_34, 12_09, 35, 1_33_13, 66_27, 21, 2_02, 3_47, 7, 1_64, 23_99, 11, 46, 44_85, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 5, 12_32, 28_64, 1_57_85, 1_49_51, 1_05, 5, 85_81, 12_50, 4, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''token_type_ids''': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=a  ,    model_name='''microsoft/deberta-v2-xlarge'''  ,    revision='''ad6e42c1532ddf3a15c39246b63f5559d558b670'''  ,    )
