



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 not isinstance(lowerCamelCase_ ,lowerCamelCase_):
								lowerCAmelCase__  :       Dict				=  f"""Input value of [number={number}] must be an integer"""
								raise TypeError(lowerCamelCase_)

				if number < 1:
								lowerCAmelCase__  :       Any				=  f"""Input value of [number={number}] must be > 0"""
								raise ValueError(lowerCamelCase_)

				lowerCAmelCase__  :       List[str]				=  1

				for i in range(1 ,lowerCamelCase_):
								current_number *= 4 * i - 2
								current_number //= i + 1

				return current_number


if __name__ == "__main__":
							import doctest

							doctest.testmod()

