



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


__snake_case       :	Any            ='▁'

__snake_case       :	Optional[Any]            =get_tests_dir('fixtures/test_sentencepiece.model')



@require_sentencepiece
class  lowerCamelCase__    (							lowerCamelCase__   ,       unittest.TestCase):




			'''simple docstring'''



			snake_case_			=BertGenerationTokenizer
			snake_case_			=False
			snake_case_			=True



			def 	lowerCAmelCase__   (self				)  ->    Tuple:

							"""simple docstring"""






							super().setUp()

							lowerCAmelCase__  :       Dict				=  BertGenerationTokenizer(__lowerCamelCase	,keep_accents=__lowerCamelCase				)
							tokenizer.save_pretrained(self.tmpdirname				)



			def 	lowerCAmelCase__   (self				)  ->    Any:

							"""simple docstring"""






							lowerCAmelCase__  :       int				=  '''<s>'''
							lowerCAmelCase__  :       Union[str, Any]				=  1

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



			def 	lowerCAmelCase__   (self				)  ->    List[Any]:

							"""simple docstring"""






							lowerCAmelCase__  :       Dict				=  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 	lowerCAmelCase__   (self				)  ->    List[Any]:

							"""simple docstring"""






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



			def 	lowerCAmelCase__   (self				)  ->    Union[str, Any]:

							"""simple docstring"""






							lowerCAmelCase__  :       Tuple				=  BertGenerationTokenizer(__lowerCamelCase	,keep_accents=__lowerCamelCase				)

							lowerCAmelCase__  :       Union[str, Any]				=  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__  :       Optional[Any]				=  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__  :       int				=  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__  :       List[Any]				=  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 	lowerCAmelCase__   (self				)  ->    Tuple:

							"""simple docstring"""






							return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''				)



			@slow
			def 	lowerCAmelCase__   (self				)  ->    int:

							"""simple docstring"""






							lowerCAmelCase__  :       Dict				=  '''Hello World!'''
							lowerCAmelCase__  :       Tuple				=  [1_85_36, 22_60, 1_01]

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



			@slow
			def 	lowerCAmelCase__   (self				)  ->    List[Any]:

							"""simple docstring"""






							lowerCAmelCase__  :       List[Any]				=  (
							    '''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__  :       List[str]				=  [
							    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 	lowerCAmelCase__   (self				)  ->    Dict:

							"""simple docstring"""






							import torch

							from transformers import BertGenerationConfig, BertGenerationEncoder

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

							lowerCAmelCase__  :       Tuple				=  BertGenerationConfig()
							lowerCAmelCase__  :       Optional[int]				=  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 	lowerCAmelCase__   (self				)  ->    Tuple:

							"""simple docstring"""






							lowerCAmelCase__  :       str				=  {'''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 			lowerCAmelCase__	(					lowerCamelCase_	:	int):





				'''simple docstring'''

				if length <= 0 or not isinstance(lowerCamelCase_ ,lowerCamelCase_):
								raise ValueError('''Length must be a positive integer.''')
				return [n * (2 * n - 1) for n in range(lowerCamelCase_)]


if __name__ == "__main__":
							print(hexagonal_numbers(length=5))
							print(hexagonal_numbers(length=1_0))

