



"""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


__snake_case							:     Union[str, Any]   =					get_tests_dir('fixtures/spiece.model')



@require_sentencepiece
@require_tokenizers
class     A__     (						__SCREAMING_SNAKE_CASE						,	unittest.TestCase							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE					   =			DebertaVaTokenizer
	SCREAMING_SNAKE_CASE					   =			DebertaVaTokenizerFast
	SCREAMING_SNAKE_CASE					   =			True
	SCREAMING_SNAKE_CASE					   =			True

	def 							_SCREAMING_SNAKE_CASE     (  self:	str)       -> Union[str, Any]:

				"""simple docstring"""

				super().setUp()

				# We have a SentencePiece fixture for testing
				__lowerCAmelCase   :						Optional[int]				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE ,    unk_token="<unk>")
				tokenizer.save_pretrained(self.tmpdirname)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[Any] ,    _SCREAMING_SNAKE_CASE:	Dict)       -> Tuple:

				"""simple docstring"""

				__lowerCAmelCase   :						List[str]				= "this is a test"
				__lowerCAmelCase   :						Optional[int]				= "this is a test"
				return input_text, output_text

	def 							_SCREAMING_SNAKE_CASE     (  self:	str)       -> int:

				"""simple docstring"""

				__lowerCAmelCase   :						Dict				= "<pad>"
				__lowerCAmelCase   :						Optional[int]				= 0

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

	def 							_SCREAMING_SNAKE_CASE     (  self:	List[str])       -> int:

				"""simple docstring"""

				__lowerCAmelCase   :						Optional[Any]				= 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(_SCREAMING_SNAKE_CASE) ,    3_0001)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[int])       -> Union[str, Any]:

				"""simple docstring"""

				self.assertEqual(self.get_tokenizer().vocab_size ,    3_0000)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Any)       -> List[str]:

				"""simple docstring"""

				__lowerCAmelCase   :						int				= " \tHeLLo!how  \n Are yoU?  "
				__lowerCAmelCase   :						List[Any]				= ["▁hello", "!", "how", "▁are", "▁you", "?"]
				# fmt: on

				__lowerCAmelCase   :						Union[str, Any]				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[str]				= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Optional[Any]				= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Dict				= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	@unittest.skip("There is an inconsistency between slow and fast tokenizer due to a bug in the fast one.")
	def 							_SCREAMING_SNAKE_CASE     (  self:	int)       -> Any:

				"""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:	Optional[Any])       -> Dict:

				"""simple docstring"""

				pass

	def 							_SCREAMING_SNAKE_CASE     (  self:	Any)       -> str:

				"""simple docstring"""

				__lowerCAmelCase   :						Optional[Any]				= "I was born in 92000, and this is falsé."
				__lowerCAmelCase   :						str				= ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", "▁", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "▁", ".", ]
				# fmt: on

				__lowerCAmelCase   :						str				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Optional[Any]				= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Dict				= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Optional[Any]				= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Union[str, Any])       -> List[str]:

				"""simple docstring"""

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

				__lowerCAmelCase   :						List[Any]				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						int				= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Tuple				= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						str				= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	str)       -> Optional[int]:

				"""simple docstring"""

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

				__lowerCAmelCase   :						Optional[int]				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[str]				= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						List[str]				= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						str				= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Optional[Any])       -> Optional[Any]:

				"""simple docstring"""

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

				__lowerCAmelCase   :						Optional[Any]				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						int				= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Tuple				= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[str]				= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Tuple)       -> Optional[Any]:

				"""simple docstring"""

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

				__lowerCAmelCase   :						Tuple				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						int				= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Union[str, Any]				= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE ,    do_lower_case=_SCREAMING_SNAKE_CASE ,    split_by_punct=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Tuple				= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))

				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Dict)       -> Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase   :						int				= self.get_tokenizer()
				__lowerCAmelCase   :						List[Any]				= self.get_rust_tokenizer()

				__lowerCAmelCase   :						Optional[Any]				= "I was born in 92000, and this is falsé."

				__lowerCAmelCase   :						Tuple				= tokenizer.convert_ids_to_tokens(tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))
				__lowerCAmelCase   :						Any				= rust_tokenizer.convert_ids_to_tokens(rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE))
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Optional[Any]				= tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Tuple				= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						List[Any]				= self.get_rust_tokenizer()
				__lowerCAmelCase   :						List[str]				= tokenizer.encode(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						str				= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Union[str, Any])       -> int:

				"""simple docstring"""

				__lowerCAmelCase   :						List[str]				= "This is a test"
				__lowerCAmelCase   :						List[str]				= [13, 1, 4398, 25, 21, 1289]
				__lowerCAmelCase   :						Optional[Any]				= ["▁", "T", "his", "▁is", "▁a", "▁test"]
				__lowerCAmelCase   :						Dict				= ["▁", "<unk>", "his", "▁is", "▁a", "▁test"]

				__lowerCAmelCase   :						Dict				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE ,    keep_accents=_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[str]				= DebertaVaTokenizerFast(_SCREAMING_SNAKE_CASE ,    keep_accents=_SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						int				= tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Optional[Any]				= tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Any				= tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Union[str, Any]				= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[Any]				= rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Optional[int]				= rust_tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				# fmt: off
				__lowerCAmelCase   :						str				= "I was born in 92000, and this is falsé."
				__lowerCAmelCase   :						Optional[int]				= [13, 1, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]
				__lowerCAmelCase   :						List[Any]				= ["▁", "I", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", ".", ]
				__lowerCAmelCase   :						List[str]				= ["▁", "<unk>", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", ".", ]
				# fmt: on

				__lowerCAmelCase   :						List[str]				= tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Any				= tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						Tuple				= tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Optional[int]				= rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,    add_special_tokens=_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[Any]				= rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[str]				= rust_tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE)
				self.assertListEqual(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

	def 							_SCREAMING_SNAKE_CASE     (  self:	Dict)       -> Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase   :						Any				= DebertaVaTokenizer(_SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Tuple				= tokenizer.encode("sequence builders")
				__lowerCAmelCase   :						List[Any]				= tokenizer.encode("multi-sequence build")

				__lowerCAmelCase   :						Union[str, Any]				= tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase   :						List[Any]				= tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE ,    _SCREAMING_SNAKE_CASE)

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







	@slow
	def 							_SCREAMING_SNAKE_CASE     (  self:	Any)       -> Any:

				"""simple docstring"""

				__lowerCAmelCase   :						Any				= {"input_ids": [[1, 3_9867, 36, 1_9390, 486, 27, 3_5052, 8_1436, 18, 6_0685, 1225, 7, 3_5052, 8_1436, 18, 9367, 1_6899, 18, 1_5937, 53, 594, 773, 18, 1_6287, 3_0465, 36, 1_5937, 6, 4_1139, 38, 3_6979, 6_0763, 191, 6, 3_4132, 99, 6, 5_0538, 390, 4_3230, 6, 3_4132, 2779, 2_0850, 14, 699, 1072, 1194, 36, 382, 1_0901, 53, 7, 699, 1072, 2084, 36, 2_0422, 630, 53, 19, 105, 3049, 1896, 1053, 1_6899, 1506, 11, 3_7978, 4243, 7, 1237, 3_1869, 200, 1_6566, 654, 6, 3_5052, 8_1436, 7, 5_5630, 1_3593, 4, 2], [1, 26, 1_5011, 13, 667, 8, 1053, 18, 2_3611, 1237, 7_2356, 1_2820, 34, 10_4134, 1209, 35, 1_3313, 6627, 21, 202, 347, 7, 164, 2399, 11, 46, 4485, 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, 1232, 2864, 1_5785, 1_4951, 105, 5, 8581, 1250, 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=_SCREAMING_SNAKE_CASE ,    model_name="microsoft/deberta-v2-xlarge" ,    revision="ad6e42c1532ddf3a15c39246b63f5559d558b670" ,    )




"""simple docstring"""






import string
from math import logaa


def     _lowercase       (						__snake_case      ,__snake_case			)		->     int:
			__lowerCAmelCase   :						int				= document.translate(
			    str.maketrans(""      ,""      ,string.punctuation			)			).replace("\n"      ,""			)
			__lowerCAmelCase   :						Dict				= document_without_punctuation.split(" "			)  # word tokenization
			return len([word for word in tokenize_document if word.lower() == term.lower()]			)


def     _lowercase       (						__snake_case      ,__snake_case			)		->     tuple[int, int]:
			__lowerCAmelCase   :						Optional[Any]				= corpus.lower().translate(
			    str.maketrans(""      ,""      ,string.punctuation			)			)  # strip all punctuation and replace it with ''
			__lowerCAmelCase   :						List[str]				= corpus_without_punctuation.split("\n"			)
			__lowerCAmelCase   :						str				= term.lower()
			return (len([doc for doc in docs if term in doc]			), len(__snake_case			))


def     _lowercase       (						__snake_case      ,__snake_case      ,__snake_case=False			)		->     float:
			if smoothing:
						if n == 0:
									raise ValueError("log10(0) is undefined."			)
						return round(1 + logaa(n / (1 + df)			)      ,3			)

			if df == 0:
						raise ZeroDivisionError("df must be > 0"			)
			elif n == 0:
						raise ValueError("log10(0) is undefined."			)
			return round(logaa(n / df			)      ,3			)





def     _lowercase       (						__snake_case      ,__snake_case			)		->     float:
			return round(tf * idf      ,3			)