"""simple docstring"""






import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


lowerCAmelCase__  :  Optional[int]						     =	get_tests_dir('fixtures/test_sentencepiece_bpe.model')
class 				snake_case       ( __UpperCAmelCase      ,    unittest.TestCase				):




					"""simple docstring"""

					snake_case__				    = BartphoTokenizer
					snake_case__				    = False
					snake_case__				    = True







					def 		__lowerCAmelCase						(				self   :	Optional[Any]			):
									super().setUp()

									UpperCAmelCase__             =							['▁This', '▁is', '▁a', '▁t', 'est']
									UpperCAmelCase__             =							dict(zip(lowerCamelCase__    ,range(len(lowerCamelCase__			)			)			)			)
									UpperCAmelCase__             =							{'unk_token': '<unk>'}

									UpperCAmelCase__             =							os.path.join(self.tmpdirname    ,VOCAB_FILES_NAMES['monolingual_vocab_file']			)
									with open(self.monolingual_vocab_file    ,'w'    ,encoding='utf-8'			) as fp:
													for token in vocab_tokens:
																	fp.write(f'''{token} {vocab_tokens[token]}\n'''			)

									UpperCAmelCase__             =							BartphoTokenizer(lowerCamelCase__    ,self.monolingual_vocab_file    ,**self.special_tokens_map			)
									tokenizer.save_pretrained(self.tmpdirname			)







					def 		__lowerCAmelCase						(				self   :	Dict    ,**lowerCamelCase__   :	Optional[Any]			):
									kwargs.update(self.special_tokens_map			)
									return BartphoTokenizer.from_pretrained(self.tmpdirname    ,**lowerCamelCase__			)







					def 		__lowerCAmelCase						(				self   :	Union[str, Any]    ,lowerCamelCase__   :	List[str]			):
									UpperCAmelCase__             =							'This is a là test'
									UpperCAmelCase__             =							'This is a<unk><unk> test'
									return input_text, output_text







					def 		__lowerCAmelCase						(				self   :	List[str]			):
									UpperCAmelCase__             =							BartphoTokenizer(lowerCamelCase__    ,self.monolingual_vocab_file    ,**self.special_tokens_map			)
									UpperCAmelCase__             =							'This is a là test'
									UpperCAmelCase__             =							'▁This ▁is ▁a ▁l à ▁t est'.split()
									UpperCAmelCase__             =							tokenizer.tokenize(lowerCamelCase__			)
									self.assertListEqual(lowerCamelCase__    ,lowerCamelCase__			)

									UpperCAmelCase__             =							tokens + [tokenizer.unk_token]
									UpperCAmelCase__             =							[4, 5, 6, 3, 3, 7, 8, 3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__			)    ,lowerCamelCase__			)




"""simple docstring"""






def   a_						(					lowerCamelCase					,			lowerCamelCase       ):
				if a < 0 or b < 0:
								raise ValueError('the value of both inputs must be positive'       )

				UpperCAmelCase__             =							str(bin(lowerCamelCase       )       )[2:]  # remove the leading "0b"
				UpperCAmelCase__             =							str(bin(lowerCamelCase       )       )[2:]  # remove the leading "0b"

				UpperCAmelCase__             =							max(len(lowerCamelCase       )					,			len(lowerCamelCase       )       )

				return "0b" + "".join(
				    str(int(char_a == '1' and char_b == '1'       )       )
				    for char_a, char_b in zip(a_binary.zfill(lowerCamelCase       )					,			b_binary.zfill(lowerCamelCase       )       )       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



