






import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


a_		:    List[str]   							=     '▁'

a_		:    str   							=     get_tests_dir('fixtures/test_sentencepiece.model')

@require_sentencepiece
@require_tokenizers
class 		_snake_case	(	A__ ,     unittest.TestCase       ):
			_lowercase		:     str        =				BigBirdTokenizer
			_lowercase		:     Any        =				BigBirdTokenizerFast
			_lowercase		:     Tuple        =				True
			_lowercase		:     int        =				True






			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Optional[Any]:
						super().setUp()

						SCREAMING_SNAKE_CASE							=			self.tokenizer_class(a		,       keep_accents=a)
						tokenizer.save_pretrained(self.tmpdirname)






			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Dict:
						SCREAMING_SNAKE_CASE							=			'<s>'
						SCREAMING_SNAKE_CASE							=			1

						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[str]:
						SCREAMING_SNAKE_CASE							=			list(self.get_tokenizer().get_vocab().keys())

						self.assertEqual(vocab_keys[0]		,       '<unk>')
						self.assertEqual(vocab_keys[1]		,       '<s>')
						self.assertEqual(vocab_keys[-1]		,       '[MASK]')
						self.assertEqual(len(a)		,       1004)






			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Optional[Any]:
						self.assertEqual(self.get_tokenizer().vocab_size		,       1000)






			def  SCREAMING_SNAKE_CASE__     (							self)   ->							str:
						if not self.test_rust_tokenizer:
									return

						SCREAMING_SNAKE_CASE							=			self.get_tokenizer()
						SCREAMING_SNAKE_CASE							=			self.get_rust_tokenizer()

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

						SCREAMING_SNAKE_CASE							=			tokenizer.tokenize(a)
						SCREAMING_SNAKE_CASE							=			rust_tokenizer.tokenize(a)
						self.assertListEqual(a		,       a)

						SCREAMING_SNAKE_CASE							=			tokenizer.encode(a		,       add_special_tokens=a)
						SCREAMING_SNAKE_CASE							=			rust_tokenizer.encode(a		,       add_special_tokens=a)
						self.assertListEqual(a		,       a)

						SCREAMING_SNAKE_CASE							=			self.get_rust_tokenizer()
						SCREAMING_SNAKE_CASE							=			tokenizer.encode(a)
						SCREAMING_SNAKE_CASE							=			rust_tokenizer.encode(a)
						self.assertListEqual(a		,       a)






			def  SCREAMING_SNAKE_CASE__     (							self)   ->							str:
						SCREAMING_SNAKE_CASE							=			BigBirdTokenizer(a		,       keep_accents=a)

						SCREAMING_SNAKE_CASE							=			tokenizer.tokenize('This is a test')
						self.assertListEqual(a		,       ['▁This', '▁is', '▁a', '▁t', 'est'])

						self.assertListEqual(
						    tokenizer.convert_tokens_to_ids(a)		,       [285, 46, 10, 170, 382]		,       )

						SCREAMING_SNAKE_CASE							=			tokenizer.tokenize('I was born in 92000, and this is falsé.')
						self.assertListEqual(
						    a		,       [
						        SPIECE_UNDERLINE + 'I',
						        SPIECE_UNDERLINE + 'was',
						        SPIECE_UNDERLINE + 'b',
						        'or',
						        'n',
						        SPIECE_UNDERLINE + 'in',
						        SPIECE_UNDERLINE + '',
						        '9',
						        '2',
						        '0',
						        '0',
						        '0',
						        ',',
						        SPIECE_UNDERLINE + 'and',
						        SPIECE_UNDERLINE + 'this',
						        SPIECE_UNDERLINE + 'is',
						        SPIECE_UNDERLINE + 'f',
						        'al',
						        's',
						        'é',
						        '.',
						    ]		,       )
						SCREAMING_SNAKE_CASE							=			tokenizer.convert_tokens_to_ids(a)
						self.assertListEqual(
						    a		,       [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]		,       )

						SCREAMING_SNAKE_CASE							=			tokenizer.convert_ids_to_tokens(a)
						self.assertListEqual(
						    a		,       [
						        SPIECE_UNDERLINE + 'I',
						        SPIECE_UNDERLINE + 'was',
						        SPIECE_UNDERLINE + 'b',
						        'or',
						        'n',
						        SPIECE_UNDERLINE + 'in',
						        SPIECE_UNDERLINE + '',
						        '<unk>',
						        '2',
						        '0',
						        '0',
						        '0',
						        ',',
						        SPIECE_UNDERLINE + 'and',
						        SPIECE_UNDERLINE + 'this',
						        SPIECE_UNDERLINE + 'is',
						        SPIECE_UNDERLINE + 'f',
						        'al',
						        's',
						        '<unk>',
						        '.',
						    ]		,       )






			@cached_property
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Union[str, Any]:
						return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base')






			@slow
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Union[str, Any]:
						SCREAMING_SNAKE_CASE							=			'Hello World!'
						SCREAMING_SNAKE_CASE							=			[65, 1_8536, 2260, 101, 66]

						self.assertListEqual(a		,       self.big_tokenizer.encode(a))






			@slow
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Optional[int]:
						SCREAMING_SNAKE_CASE							=			(
						    'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
						    ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
						)
						# fmt: off
						SCREAMING_SNAKE_CASE							=			[65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 3_4324, 497, 391, 408, 1_1342, 1244, 385, 100, 938, 985, 456, 574, 362, 1_2597, 3200, 3129, 1172, 66]  # noqa: E231
						# fmt: on
						self.assertListEqual(a		,       self.big_tokenizer.encode(a))






			@require_torch
			@slow
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Any:
						import torch

						from transformers import BigBirdConfig, BigBirdModel

						# Build sequence
						SCREAMING_SNAKE_CASE							=			list(self.big_tokenizer.get_vocab().keys())[:10]
						SCREAMING_SNAKE_CASE							=			' '.join(a)
						SCREAMING_SNAKE_CASE							=			self.big_tokenizer.encode_plus(a		,       return_tensors='pt'		,       return_token_type_ids=a)
						SCREAMING_SNAKE_CASE							=			self.big_tokenizer.batch_encode_plus(
						    [sequence + ' ' + sequence]		,       return_tensors='pt'		,       return_token_type_ids=a)

						SCREAMING_SNAKE_CASE							=			BigBirdConfig(attention_type='original_full')
						SCREAMING_SNAKE_CASE							=			BigBirdModel(a)

						assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

						with torch.no_grad():
									model(**a)
									model(**a)






			@slow
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Union[str, Any]:
						SCREAMING_SNAKE_CASE							=			BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base')
						SCREAMING_SNAKE_CASE							=			tokenizer.decode(tokenizer('Paris is the [MASK].').input_ids)

						self.assertTrue(decoded_text == '[CLS] Paris is the[MASK].[SEP]')







			@slow
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							Dict:
						# fmt: off
						SCREAMING_SNAKE_CASE							=			{'input_ids': [[65, 3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114, 66], [65, 448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 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, 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='google/bigbird-roberta-base'		,       revision='215c99f1600e06f83acce68422f2035b2b5c3510'		,       )









'''simple docstring'''





from __future__ import annotations




def lowerCAmelCase    (__A):



     """simple docstring"""



     return len(set(__A)) == len(__A)


if __name__ == "__main__":
  import doctest

  doctest.testmod()



