




import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict







@pytest.mark.parametrize(
    "files"      ,      [
        ["full:README.md", "dataset_infos.json"],
        ["empty:README.md", "dataset_infos.json"],
        ["dataset_infos.json"],
        ["full:README.md"],
    ]      ,      )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Any      ,      SCREAMING_SNAKE_CASE_							:				List[str]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("dset_infos_dir"     )
					if "full:README.md" in files:
										with open(dataset_infos_dir / "README.md"      ,      "w"     ) as f:
															f.write("---\ndataset_info:\n  dataset_size: 42\n---"     )
					if "empty:README.md" in files:
										with open(dataset_infos_dir / "README.md"      ,      "w"     ) as f:
															f.write(""     )
    # we want to support dataset_infos.json for backward compatibility
					if "dataset_infos.json" in files:
										with open(dataset_infos_dir / "dataset_infos.json"      ,      "w"     ) as f:
															f.write("{\"default\": {\"dataset_size\": 42}}"     )
					__lowerCAmelCase				   =       DatasetInfosDict.from_directory(SCREAMING_SNAKE_CASE_     )
					assert dataset_infos
					assert dataset_infos["default"].dataset_size == 42







@pytest.mark.parametrize(
    "dataset_info"      ,      [
        DatasetInfo(),
        DatasetInfo(
            description="foo"      ,      features=Features({"a": Value("int32"     )}     )      ,      builder_name="builder"      ,      config_name="config"      ,      version="1.0.0"      ,      splits=[{"name": "train"}]      ,      download_size=42      ,      ),
    ]      ,      )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[str]      ,      SCREAMING_SNAKE_CASE_							:				DatasetInfo     ):
					__lowerCAmelCase				   =       str(SCREAMING_SNAKE_CASE_     )
					dataset_info.write_to_directory(SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       DatasetInfo.from_directory(SCREAMING_SNAKE_CASE_     )
					assert dataset_info == reloaded
					assert os.path.exists(os.path.join(SCREAMING_SNAKE_CASE_      ,      "dataset_info.json"     )     )







def 	_a      (						):
					__lowerCAmelCase				   =       DatasetInfo(
					    description="foo"      ,      citation="bar"      ,      homepage="https://foo.bar"      ,      license="CC0"      ,      features=Features({"a": Value("int32"     )}     )      ,      post_processed={}      ,      supervised_keys=()      ,      task_templates=[]      ,      builder_name="builder"      ,      config_name="config"      ,      version="1.0.0"      ,      splits=[{"name": "train", "num_examples": 42}]      ,      download_checksums={}      ,      download_size=13_37      ,      post_processing_size=4_42      ,      dataset_size=12_34      ,      size_in_bytes=13_37 + 4_42 + 12_34      ,      )
					__lowerCAmelCase				   =       dataset_info._to_yaml_dict()
					assert sorted(SCREAMING_SNAKE_CASE_     ) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML     )
					for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
										assert key in dataset_info_yaml_dict
										assert isinstance(dataset_info_yaml_dict[key]      ,      (list, dict, int, str)     )
					__lowerCAmelCase				   =       yaml.safe_dump(SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       yaml.safe_load(SCREAMING_SNAKE_CASE_     )
					assert dataset_info_yaml_dict == reloaded







def 	_a      (						):
					__lowerCAmelCase				   =       DatasetInfo()
					__lowerCAmelCase				   =       dataset_info._to_yaml_dict()
					assert dataset_info_yaml_dict == {}







@pytest.mark.parametrize(
    "dataset_infos_dict"      ,      [
        DatasetInfosDict(),
        DatasetInfosDict({"default": DatasetInfo()}     ),
        DatasetInfosDict({"my_config_name": DatasetInfo()}     ),
        DatasetInfosDict(
            {
                "default": DatasetInfo(
                    description="foo"      ,      features=Features({"a": Value("int32"     )}     )      ,      builder_name="builder"      ,      config_name="config"      ,      version="1.0.0"      ,      splits=[{"name": "train"}]      ,      download_size=42      ,      )
            }     ),
        DatasetInfosDict(
            {
                "v1": DatasetInfo(dataset_size=42     ),
                "v2": DatasetInfo(dataset_size=13_37     ),
            }     ),
    ]      ,      )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				DatasetInfosDict     ):
					__lowerCAmelCase				   =       str(SCREAMING_SNAKE_CASE_     )
					dataset_infos_dict.write_to_directory(SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       DatasetInfosDict.from_directory(SCREAMING_SNAKE_CASE_     )

					# the config_name of the dataset_infos_dict take over the attribute
					for config_name, dataset_info in dataset_infos_dict.items():
										__lowerCAmelCase				   =       config_name
										# the yaml representation doesn't include fields like description or citation
										# so we just test that we can recover what we can from the yaml
										__lowerCAmelCase				   =       DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict()     )
					assert dataset_infos_dict == reloaded

					if dataset_infos_dict:
										assert os.path.exists(os.path.join(SCREAMING_SNAKE_CASE_      ,      "README.md"     )     )










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__    (					snake_case__ ,				unittest.TestCase      ):
						_a							:    Optional[Any]					=    DebertaVaTokenizer
						_a							:    Optional[Any]					=    DebertaVaTokenizerFast
						_a							:    List[str]					=    True
						_a							:    Optional[Any]					=    True






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""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		,			_A			):




											"""simple docstring"""



											__lowerCAmelCase				   =       "this is a test"
											__lowerCAmelCase				   =       "this is a test"
											return input_text, output_text






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""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			):




											"""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_0_0_0_1			)






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""simple docstring"""



											self.assertEqual(self.get_tokenizer().vocab_size		,			3_0_0_0_0			)






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""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			):




											"""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			):




											"""simple docstring"""



											pass






						def 				__SCREAMING_SNAKE_CASE(   self			):




											"""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			):




											"""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			):




											"""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			):




											"""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			):




											"""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			):




											"""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			):




											"""simple docstring"""



											__lowerCAmelCase				   =       "This is a test"
											__lowerCAmelCase				   =       [1_3, 1, 4_3_9_8, 2_5, 2_1, 1_2_8_9]
											__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				   =       [1_3, 1, 2_3, 3_8_6, 1_9, 5_6_1, 3_0_5_0, 1_5, 1_7, 4_8, 2_5, 8_2_5_6, 1_8, 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			):




											"""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			):




											"""simple docstring"""



											__lowerCAmelCase				   =       {"input_ids": [[1, 3_9_8_6_7, 3_6, 1_9_3_9_0, 4_8_6, 2_7, 3_5_0_5_2, 8_1_4_3_6, 1_8, 6_0_6_8_5, 1_2_2_5, 7, 3_5_0_5_2, 8_1_4_3_6, 1_8, 9_3_6_7, 1_6_8_9_9, 1_8, 1_5_9_3_7, 5_3, 5_9_4, 7_7_3, 1_8, 1_6_2_8_7, 3_0_4_6_5, 3_6, 1_5_9_3_7, 6, 4_1_1_3_9, 3_8, 3_6_9_7_9, 6_0_7_6_3, 1_9_1, 6, 3_4_1_3_2, 9_9, 6, 5_0_5_3_8, 3_9_0, 4_3_2_3_0, 6, 3_4_1_3_2, 2_7_7_9, 2_0_8_5_0, 1_4, 6_9_9, 1_0_7_2, 1_1_9_4, 3_6, 3_8_2, 1_0_9_0_1, 5_3, 7, 6_9_9, 1_0_7_2, 2_0_8_4, 3_6, 2_0_4_2_2, 6_3_0, 5_3, 1_9, 1_0_5, 3_0_4_9, 1_8_9_6, 1_0_5_3, 1_6_8_9_9, 1_5_0_6, 1_1, 3_7_9_7_8, 4_2_4_3, 7, 1_2_3_7, 3_1_8_6_9, 2_0_0, 1_6_5_6_6, 6_5_4, 6, 3_5_0_5_2, 8_1_4_3_6, 7, 5_5_6_3_0, 1_3_5_9_3, 4, 2], [1, 2_6, 1_5_0_1_1, 1_3, 6_6_7, 8, 1_0_5_3, 1_8, 2_3_6_1_1, 1_2_3_7, 7_2_3_5_6, 1_2_8_2_0, 3_4, 1_0_4_1_3_4, 1_2_0_9, 3_5, 1_3_3_1_3, 6_6_2_7, 2_1, 2_0_2, 3_4_7, 7, 1_6_4, 2_3_9_9, 1_1, 4_6, 4_4_8_5, 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, 1_2_3_2, 2_8_6_4, 1_5_7_8_5, 1_4_9_5_1, 1_0_5, 5, 8_5_8_1, 1_2_5_0, 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"		,			)




