



"""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


_lowercase				:				Tuple   		=		"▁"

_lowercase				:				Optional[int]   		=		get_tests_dir("fixtures/test_sentencepiece.model")

@require_sentencepiece
class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_	,     unittest.TestCase     ):


					'''simple docstring'''





					_a         =							BertGenerationTokenizer
					_a         =							False
					_a         =							True



					def 	snake_case ( self							:						List[Any]  )->      str:
								super().setUp()

								lowerCamelCase__	:	List[str]				=BertGenerationTokenizer(lowerCamelCase,						keep_accents=lowerCamelCase  )
								tokenizer.save_pretrained(self.tmpdirname  )



					def 	snake_case ( self							:						List[str]  )->      str:
								lowerCamelCase__	:	Optional[int]				='''<s>'''
								lowerCamelCase__	:	Tuple				=1

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



					def 	snake_case ( self							:						int  )->      List[str]:
								lowerCamelCase__	:	str				=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  ),						1002  )



					def 	snake_case ( self							:						int  )->      Tuple:
								self.assertEqual(self.get_tokenizer().vocab_size,						1000  )



					def 	snake_case ( self							:						Any  )->      Dict:
								lowerCamelCase__	:	int				=BertGenerationTokenizer(lowerCamelCase,						keep_accents=lowerCamelCase  )

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

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

								lowerCamelCase__	:	str				=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__	:	List[str]				=tokenizer.convert_tokens_to_ids(lowerCamelCase  )
								self.assertListEqual(
								    lowerCamelCase,						[8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4],						)

								lowerCamelCase__	:	Optional[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 	snake_case ( self							:						int  )->      List[str]:
								return BertGenerationTokenizer.from_pretrained('''google/bert_for_seq_generation_L-24_bbc_encoder'''  )



					@slow
					def 	snake_case ( self							:						Dict  )->      Optional[Any]:
								lowerCamelCase__	:	List[str]				='''Hello World!'''
								lowerCamelCase__	:	Tuple				=[1_8536, 2260, 101]

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



					@slow
					def 	snake_case ( self							:						Any  )->      List[Any]:
								lowerCamelCase__	:	Tuple				=(
								    '''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__	:	str				=[
								    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,
								    3_4324,
								    497,
								    391,
								    408,
								    1_1342,
								    1244,
								    385,
								    100,
								    938,
								    985,
								    456,
								    574,
								    362,
								    1_2597,
								    3200,
								    3129,
								    1172,
								]

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



					@require_torch
					@slow
					def 	snake_case ( self							:						int  )->      List[Any]:
								import torch

								from transformers import BertGenerationConfig, BertGenerationEncoder

								# Build sequence
								lowerCamelCase__	:	Union[str, Any]				=list(self.big_tokenizer.get_vocab().keys()  )[:10]
								lowerCamelCase__	:	List[str]				=''' '''.join(lowerCamelCase  )
								lowerCamelCase__	:	Tuple				=self.big_tokenizer.encode_plus(lowerCamelCase,						return_tensors='''pt''',						return_token_type_ids=lowerCamelCase  )
								lowerCamelCase__	:	str				=self.big_tokenizer.batch_encode_plus(
								    [sequence + ''' ''' + sequence],						return_tensors='''pt''',						return_token_type_ids=lowerCamelCase  )

								lowerCamelCase__	:	int				=BertGenerationConfig()
								lowerCamelCase__	:	List[str]				=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 	snake_case ( self							:						Tuple  )->      Optional[int]:
								# fmt: off
								lowerCamelCase__	:	int				={'''input_ids''': [[3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114], [448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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''',						)









"""simple docstring"""






def   snake_case__     (	__lowerCamelCase       :					list[int]			):
			"""simple docstring"""
			if not numbers:
						return 0

			if not isinstance(__lowerCamelCase							,	(list, tuple)			) or not all(
			    isinstance(__lowerCamelCase							,	__lowerCamelCase			) for number in numbers			):
						raise ValueError('''numbers must be an iterable of integers'''			)

			lowerCamelCase__	:	Any				=numbers[0]

			for i in range(1							,	len(__lowerCamelCase			)			):
						# update the maximum and minimum subarray products
						lowerCamelCase__	:	Dict				=numbers[i]
						if number < 0:
									lowerCamelCase__			,     lowerCamelCase__	:	List[Any]				=min_till_now, max_till_now
						lowerCamelCase__	:	Optional[int]				=max(__lowerCamelCase							,	max_till_now * number			)
						lowerCamelCase__	:	Dict				=min(__lowerCamelCase							,	min_till_now * number			)

						# update the maximum product found till now
						lowerCamelCase__	:	Tuple				=max(__lowerCamelCase							,	__lowerCamelCase			)

			return max_prod




