


'''simple docstring'''






import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, 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
class 						a__							(				a__							,							unittest.TestCase    ):





							'''simple docstring'''






							lowercase__     :  int      		= BertGenerationTokenizer
							lowercase__     :  Optional[int]      		= False
							lowercase__     :  Tuple      		= True







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				int:
														super().setUp()

														lowerCAmelCase__			  =      BertGenerationTokenizer(lowerCamelCase_   ,       keep_accents=lowerCamelCase_  )
														tokenizer.save_pretrained(self.tmpdirname  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Tuple:
														lowerCAmelCase__			  =      '''<s>'''
														lowerCAmelCase__			  =      1

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







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Optional[Any]:
														lowerCAmelCase__			  =      list(self.get_tokenizer().get_vocab().keys()  )

														self.assertEqual(vocab_keys[0]   ,       '''<unk>'''  )
														self.assertEqual(vocab_keys[1]   ,       '''<s>'''  )
														self.assertEqual(vocab_keys[-1]   ,       '''<pad>'''  )
														self.assertEqual(len(lowerCamelCase_  )   ,       10_02  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				int:
														self.assertEqual(self.get_tokenizer().vocab_size   ,       10_00  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														lowerCAmelCase__			  =      BertGenerationTokenizer(lowerCamelCase_   ,       keep_accents=lowerCamelCase_  )

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

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

														lowerCAmelCase__			  =      tokenizer.tokenize('''I was born in 92000, and this is falsé.'''  )
														self.assertListEqual(
														    lowerCamelCase_   ,       [
														        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__			  =      tokenizer.convert_tokens_to_ids(lowerCamelCase_  )
														self.assertListEqual(
														    lowerCamelCase_   ,       [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]   ,       )

														lowerCAmelCase__			  =      tokenizer.convert_ids_to_tokens(lowerCamelCase_  )
														self.assertListEqual(
														    lowerCamelCase_   ,       [
														        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  )			->				str:
														return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''  )







							@slow
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Optional[Any]:
														lowerCAmelCase__			  =      '''Hello World!'''
														lowerCAmelCase__			  =      [1_85_36, 22_60, 1_01]

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







							@slow
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Optional[Any]:
														lowerCAmelCase__			  =      (
														    '''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'''
														)
														lowerCAmelCase__			  =      [
														    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,
														]

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







							@require_torch
							@slow
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Union[str, Any]:
														import torch

														from transformers import BertGenerationConfig, BertGenerationEncoder

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

														lowerCAmelCase__			  =      BertGenerationConfig()
														lowerCAmelCase__			  =      BertGenerationEncoder(lowerCamelCase_  )

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

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







							@slow
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														# fmt: off
														lowerCAmelCase__			  =      {'''input_ids''': [[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], [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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=lowerCamelCase_   ,       model_name='''google/bert_for_seq_generation_L-24_bbc_encoder'''   ,       revision='''c817d1fd1be2ffa69431227a1fe320544943d4db'''   ,       )


def 	__a     (      A__			:  int = 1000       ):
    SCREAMING_SNAKE_CASE										=   3
    SCREAMING_SNAKE_CASE										=   0
    while a < n:
        if a % 3 == 0 or a % 5 == 0:
            result += a
        elif a % 15 == 0:
            result -= a
        a += 1
    return result


if __name__ == "__main__":
    print(f'{solution() = }')