





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


UpperCAmelCase_           =	"▁"

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




@require_sentencepiece
@require_tokenizers
class 			__UpperCamelCase    (							A__	, unittest.TestCase    ):
     __A	:  Tuple							  =   BigBirdTokenizer
     __A	:  List[str]							  =   BigBirdTokenizerFast
     __A	:  List[Any]							  =   True
     __A	:  List[Any]							  =   True





     def 		UpperCamelCase(     self					):
        super().setUp()

        _UpperCAmelCase           =   self.tokenizer_class(_UpperCamelCase				,							keep_accents=_UpperCamelCase					)
        tokenizer.save_pretrained(self.tmpdirname					)





     def 		UpperCamelCase(     self					):
        _UpperCAmelCase           =   '''<s>'''
        _UpperCAmelCase           =   1

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





     def 		UpperCamelCase(     self					):
        _UpperCAmelCase           =   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(_UpperCamelCase					)				,							1004					)





     def 		UpperCamelCase(     self					):
        self.assertEqual(self.get_tokenizer().vocab_size				,							1000					)





     def 		UpperCamelCase(     self					):
        if not self.test_rust_tokenizer:
           return

        _UpperCAmelCase           =   self.get_tokenizer()
        _UpperCAmelCase           =   self.get_rust_tokenizer()

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

        _UpperCAmelCase           =   tokenizer.tokenize(_UpperCamelCase					)
        _UpperCAmelCase           =   rust_tokenizer.tokenize(_UpperCamelCase					)
        self.assertListEqual(_UpperCamelCase				,							_UpperCamelCase					)

        _UpperCAmelCase           =   tokenizer.encode(_UpperCamelCase				,							add_special_tokens=_UpperCamelCase					)
        _UpperCAmelCase           =   rust_tokenizer.encode(_UpperCamelCase				,							add_special_tokens=_UpperCamelCase					)
        self.assertListEqual(_UpperCamelCase				,							_UpperCamelCase					)

        _UpperCAmelCase           =   self.get_rust_tokenizer()
        _UpperCAmelCase           =   tokenizer.encode(_UpperCamelCase					)
        _UpperCAmelCase           =   rust_tokenizer.encode(_UpperCamelCase					)
        self.assertListEqual(_UpperCamelCase				,							_UpperCamelCase					)





     def 		UpperCamelCase(     self					):
        _UpperCAmelCase           =   BigBirdTokenizer(_UpperCamelCase				,							keep_accents=_UpperCamelCase					)

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

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

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

        _UpperCAmelCase           =   tokenizer.convert_ids_to_tokens(_UpperCamelCase					)
        self.assertListEqual(
            _UpperCamelCase				,							[
                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 		UpperCamelCase(     self					):
        return BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''					)





     @slow
     def 		UpperCamelCase(     self					):
        _UpperCAmelCase           =   '''Hello World!'''
        _UpperCAmelCase           =   [65, 18536, 2260, 101, 66]

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





     @slow
     def 		UpperCamelCase(     self					):
        _UpperCAmelCase           =   (
            '''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
        _UpperCAmelCase           =   [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(_UpperCamelCase				,							self.big_tokenizer.encode(_UpperCamelCase					)					)





     @require_torch
     @slow
     def 		UpperCamelCase(     self					):
        import torch

        from transformers import BigBirdConfig, BigBirdModel

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

        _UpperCAmelCase           =   BigBirdConfig(attention_type='''original_full'''					)
        _UpperCAmelCase           =   BigBirdModel(_UpperCamelCase					)

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

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





     @slow
     def 		UpperCamelCase(     self					):
        _UpperCAmelCase           =   BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''					)
        _UpperCAmelCase           =   tokenizer.decode(tokenizer('''Paris is the [MASK].'''					).input_ids					)

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





     @slow
     def 		UpperCamelCase(     self					):
        # fmt: off
        _UpperCAmelCase           =   {'''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=_UpperCamelCase				,							model_name='''google/bigbird-roberta-base'''				,							revision='''215c99f1600e06f83acce68422f2035b2b5c3510'''				,							)






from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate




@dataclass(frozen=A__    )
class 			__UpperCamelCase    (							A__    ):
     __A	:  str							  =   field(default="""language-modeling"""	, metadata={"""include_in_asdict_even_if_is_default""": True}    )

     __A	:  ClassVar[Features]							  =   Features({"""text""": Value("""string"""    )}    )
     __A	:  ClassVar[Features]							  =   Features({}    )
     __A	:  str							  =   "text"





     @property
     def 		UpperCamelCase(     self					):
        return {self.text_column: "text"}