




"""simple docstring"""






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


lowercase__			=		"""▁"""

lowercase__			=		get_tests_dir("""fixtures/test_sentencepiece.model""")






@require_sentencepiece
@require_tokenizers
class lowerCAmelCase__      (	lowercase,      unittest.TestCase		):






			'''simple docstring'''



			lowerCamelCase__ =     BigBirdTokenizer
			lowerCamelCase__ =     BigBirdTokenizerFast
			lowerCamelCase__ =     True
			lowerCamelCase__ =     True
			def    A_       (    self    ):
							super().setUp()

							_lowerCamelCase	:     Optional[int]       =       self.tokenizer_class(lowercase    , keep_accents=lowercase    )
							tokenizer.save_pretrained(self.tmpdirname    )
			def    A_       (    self    ):
							_lowerCamelCase	:     Tuple       =       '<s>'
							_lowerCamelCase	:     List[Any]       =       1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase    )    , lowercase    )
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase    )    , lowercase    )
			def    A_       (    self    ):
							_lowerCamelCase	:     Optional[int]       =       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(lowercase    )    , 1004    )
			def    A_       (    self    ):
							self.assertEqual(self.get_tokenizer().vocab_size    , 1000    )
			def    A_       (    self    ):
							if not self.test_rust_tokenizer:
											return

							_lowerCamelCase	:     Dict       =       self.get_tokenizer()
							_lowerCamelCase	:     Optional[Any]       =       self.get_rust_tokenizer()

							_lowerCamelCase	:     Optional[int]       =       'I was born in 92000, and this is falsé.'

							_lowerCamelCase	:     int       =       tokenizer.tokenize(lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       rust_tokenizer.tokenize(lowercase    )
							self.assertListEqual(lowercase    , lowercase    )

							_lowerCamelCase	:     str       =       tokenizer.encode(lowercase    , add_special_tokens=lowercase    )
							_lowerCamelCase	:     Union[str, Any]       =       rust_tokenizer.encode(lowercase    , add_special_tokens=lowercase    )
							self.assertListEqual(lowercase    , lowercase    )

							_lowerCamelCase	:     List[Any]       =       self.get_rust_tokenizer()
							_lowerCamelCase	:     int       =       tokenizer.encode(lowercase    )
							_lowerCamelCase	:     int       =       rust_tokenizer.encode(lowercase    )
							self.assertListEqual(lowercase    , lowercase    )
			def    A_       (    self    ):
							_lowerCamelCase	:     Any       =       BigBirdTokenizer(lowercase    , keep_accents=lowercase    )

							_lowerCamelCase	:     Optional[Any]       =       tokenizer.tokenize('This is a test'    )
							self.assertListEqual(lowercase    , ['▁This', '▁is', '▁a', '▁t', 'est']    )

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

							_lowerCamelCase	:     Tuple       =       tokenizer.tokenize('I was born in 92000, and this is falsé.'    )
							self.assertListEqual(
							    lowercase    , [
							        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',
							        '.',
							    ]    , )
							_lowerCamelCase	:     str       =       tokenizer.convert_tokens_to_ids(lowercase    )
							self.assertListEqual(
							    lowercase    , [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]    , )

							_lowerCamelCase	:     Dict       =       tokenizer.convert_ids_to_tokens(lowercase    )
							self.assertListEqual(
							    lowercase    , [
							        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    ):
							return BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'    )
			@slow
			def    A_       (    self    ):
							_lowerCamelCase	:     Dict       =       'Hello World!'
							_lowerCamelCase	:     int       =       [65, 18536, 2260, 101, 66]

							self.assertListEqual(lowercase    , self.big_tokenizer.encode(lowercase    )    )
			@slow
			def    A_       (    self    ):
							_lowerCamelCase	:     List[str]       =       (
							    '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
							_lowerCamelCase	:     Optional[int]       =       [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, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
							# fmt: on
							self.assertListEqual(lowercase    , self.big_tokenizer.encode(lowercase    )    )
			@require_torch
			@slow
			def    A_       (    self    ):
							import torch

							from transformers import BigBirdConfig, BigBirdModel

							# Build sequence
							_lowerCamelCase	:     Union[str, Any]       =       list(self.big_tokenizer.get_vocab().keys()    )[:10]
							_lowerCamelCase	:     str       =       ' '.join(lowercase    )
							_lowerCamelCase	:     Optional[int]       =       self.big_tokenizer.encode_plus(lowercase    , return_tensors='pt'    , return_token_type_ids=lowercase    )
							_lowerCamelCase	:     Any       =       self.big_tokenizer.batch_encode_plus(
							    [sequence + ' ' + sequence]    , return_tensors='pt'    , return_token_type_ids=lowercase    )

							_lowerCamelCase	:     List[Any]       =       BigBirdConfig(attention_type='original_full'    )
							_lowerCamelCase	:     List[str]       =       BigBirdModel(lowercase    )

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

							with torch.no_grad():
											model(**lowercase    )
											model(**lowercase    )
			@slow
			def    A_       (    self    ):
							_lowerCamelCase	:     Tuple       =       BigBirdTokenizer.from_pretrained('google/bigbird-roberta-base'    )
							_lowerCamelCase	:     Dict       =       tokenizer.decode(tokenizer('Paris is the [MASK].'    ).input_ids    )

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






			@slow
			def    A_       (    self    ):
							# fmt: off
							_lowerCamelCase	:     Tuple       =       {'input_ids': [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 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, 21932, 18146, 726, 363, 17032, 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=lowercase    , model_name='google/bigbird-roberta-base'    , revision='215c99f1600e06f83acce68422f2035b2b5c3510'    , )





"""simple docstring"""






import re







def 	_snake_case     (							lowercase__						):

				if len(re.findall('[ATCG]'				,       lowercase__						)						) != len(lowercase__						):
								raise ValueError('Invalid Strand'						)

				return dna.translate(dna.maketrans('ATCG'				,       'TAGC'						)						)


if __name__ == "__main__":
			import doctest

			doctest.testmod()