



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


SCREAMING_SNAKE_CASE__       =      '''▁'''

SCREAMING_SNAKE_CASE__       =      get_tests_dir('''fixtures/test_sentencepiece.model''')


@require_sentencepiece
@require_tokenizers
class      __lowerCAmelCase     (		UpperCAmelCase_							,     unittest.TestCase      ):
					"""simple docstring"""






					A__				:		str			       =    BigBirdTokenizer
					A__				:		Any			       =    BigBirdTokenizerFast
					A__				:		List[str]			       =    True
					A__				:		Dict			       =    True



					def     _a							(     self					:       List[str]					):






								"""simple docstring"""


								super().setUp()

								A__       =    self.tokenizer_class(_snake_case				,					keep_accents=_snake_case					)
								tokenizer.save_pretrained(self.tmpdirname					)



					def     _a							(     self					:       List[Any]					):






								"""simple docstring"""


								A__       =    '<s>'
								A__       =    1

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



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






								"""simple docstring"""


								A__       =    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(_snake_case					)				,					10_04					)



					def     _a							(     self					:       Dict					):






								"""simple docstring"""


								self.assertEqual(self.get_tokenizer().vocab_size				,					10_00					)



					def     _a							(     self					:       Any					):






								"""simple docstring"""


								if not self.test_rust_tokenizer:
											return

								A__       =    self.get_tokenizer()
								A__       =    self.get_rust_tokenizer()

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

								A__       =    tokenizer.tokenize(_snake_case					)
								A__       =    rust_tokenizer.tokenize(_snake_case					)
								self.assertListEqual(_snake_case				,					_snake_case					)

								A__       =    tokenizer.encode(_snake_case				,					add_special_tokens=_snake_case					)
								A__       =    rust_tokenizer.encode(_snake_case				,					add_special_tokens=_snake_case					)
								self.assertListEqual(_snake_case				,					_snake_case					)

								A__       =    self.get_rust_tokenizer()
								A__       =    tokenizer.encode(_snake_case					)
								A__       =    rust_tokenizer.encode(_snake_case					)
								self.assertListEqual(_snake_case				,					_snake_case					)



					def     _a							(     self					:       List[Any]					):






								"""simple docstring"""


								A__       =    BigBirdTokenizer(_snake_case				,					keep_accents=_snake_case					)

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

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(_snake_case					)				,					[2_85, 46, 10, 1_70, 3_82]				,					)

								A__       =    tokenizer.tokenize('I was born in 92000, and this is falsé.'					)
								self.assertListEqual(
								    _snake_case				,					[
								        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',
								        '.',
								    ]				,					)
								A__       =    tokenizer.convert_tokens_to_ids(_snake_case					)
								self.assertListEqual(
								    _snake_case				,					[8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]				,					)

								A__       =    tokenizer.convert_ids_to_tokens(_snake_case					)
								self.assertListEqual(
								    _snake_case				,					[
								        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     _a							(     self					:       Tuple					):






								"""simple docstring"""


								return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'					)



					@slow
					def     _a							(     self					:       List[Any]					):






								"""simple docstring"""


								A__       =    'Hello World!'
								A__       =    [65, 1_85_36, 22_60, 1_01, 66]

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



					@slow
					def     _a							(     self					:       Any					):






								"""simple docstring"""


								A__       =    (
								    '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
								A__       =    [65, 8_71, 4_19, 3_58, 9_46, 9_91, 25_21, 4_52, 3_58, 13_57, 3_87, 77_51, 35_36, 1_12, 9_85, 4_56, 1_26, 8_65, 9_38, 54_00, 57_34, 4_58, 13_68, 4_67, 7_86, 24_62, 52_46, 11_59, 6_33, 8_65, 45_19, 4_57, 5_82, 8_52, 25_57, 4_27, 9_16, 5_08, 4_05, 3_43_24, 4_97, 3_91, 4_08, 1_13_42, 12_44, 3_85, 1_00, 9_38, 9_85, 4_56, 5_74, 3_62, 1_25_97, 32_00, 31_29, 11_72, 66]  # noqa: E231
								# fmt: on
								self.assertListEqual(_snake_case				,					self.big_tokenizer.encode(_snake_case					)					)



					@require_torch
					@slow
					def     _a							(     self					:       Optional[Any]					):






								"""simple docstring"""


								import torch

								from transformers import BigBirdConfig, BigBirdModel

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

								A__       =    BigBirdConfig(attention_type='original_full'					)
								A__       =    BigBirdModel(_snake_case					)

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

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



					@slow
					def     _a							(     self					:       List[str]					):






								"""simple docstring"""


								A__       =    BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'					)
								A__       =    tokenizer.decode(tokenizer('Paris is the [MASK].'					).input_ids					)

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



					@slow
					def     _a							(     self					:       List[Any]					):






								"""simple docstring"""


								A__       =    {'input_ids': [[65, 3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14, 66], [65, 4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 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, 4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 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=_snake_case				,					model_name='google/bigbird-roberta-base'				,					revision='215c99f1600e06f83acce68422f2035b2b5c3510'				,					)









def A						(       __UpperCamelCase					)						->      bool:
			return number & 1 == 0


if __name__ == "__main__":
							import doctest

							doctest.testmod()




