






import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list
@require_torchaudio
@require_sentencepiece
class     lowerCamelCase_					(   unittest.TestCase			):







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:str   =   '''laion/clap-htsat-unfused'''
								__magic_name__		:Optional[int]   =   tempfile.mkdtemp()







				def       A						(    self							,       **__lowerCAmelCase  ):
								"""simple docstring"""
								return RobertaTokenizer.from_pretrained(self.checkpoint							,       **__lowerCAmelCase  )







				def       A						(    self							,       **__lowerCAmelCase  ):
								"""simple docstring"""
								return ClapFeatureExtractor.from_pretrained(self.checkpoint							,       **__lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								shutil.rmtree(self.tmpdirname  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:int   =   self.get_tokenizer()
								__magic_name__		:str   =   self.get_feature_extractor()

								__magic_name__		:Tuple   =   ClapProcessor(tokenizer=__lowerCAmelCase							,       feature_extractor=__lowerCAmelCase  )

								processor.save_pretrained(self.tmpdirname  )
								__magic_name__		:Optional[Any]   =   ClapProcessor.from_pretrained(self.tmpdirname  )

								self.assertEqual(processor.tokenizer.get_vocab()							,       tokenizer.get_vocab()  )
								self.assertIsInstance(processor.tokenizer							,       __lowerCAmelCase  )

								self.assertEqual(processor.feature_extractor.to_json_string()							,       feature_extractor.to_json_string()  )
								self.assertIsInstance(processor.feature_extractor							,       __lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Tuple   =   ClapProcessor(tokenizer=self.get_tokenizer()							,       feature_extractor=self.get_feature_extractor()  )
								processor.save_pretrained(self.tmpdirname  )

								__magic_name__		:Union[str, Any]   =   self.get_tokenizer(bos_token='''(BOS)'''							,       eos_token='''(EOS)'''  )
								__magic_name__		:Dict   =   self.get_feature_extractor(do_normalize=__lowerCAmelCase							,       padding_value=1.0  )

								__magic_name__		:Union[str, Any]   =   ClapProcessor.from_pretrained(
								    self.tmpdirname							,       bos_token='''(BOS)'''							,       eos_token='''(EOS)'''							,       do_normalize=__lowerCAmelCase							,       padding_value=1.0  )

								self.assertEqual(processor.tokenizer.get_vocab()							,       tokenizer_add_kwargs.get_vocab()  )
								self.assertIsInstance(processor.tokenizer							,       __lowerCAmelCase  )

								self.assertEqual(processor.feature_extractor.to_json_string()							,       feature_extractor_add_kwargs.to_json_string()  )
								self.assertIsInstance(processor.feature_extractor							,       __lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:Tuple   =   self.get_feature_extractor()
								__magic_name__		:Dict   =   self.get_tokenizer()

								__magic_name__		:Optional[Any]   =   ClapProcessor(tokenizer=__lowerCAmelCase							,       feature_extractor=__lowerCAmelCase  )

								__magic_name__		:Any   =   floats_list((3, 1_0_0_0)  )

								__magic_name__		:Optional[Any]   =   feature_extractor(__lowerCAmelCase							,       return_tensors='''np'''  )
								__magic_name__		:List[str]   =   processor(audios=__lowerCAmelCase							,       return_tensors='''np'''  )

								for key in input_feat_extract.keys():
												self.assertAlmostEqual(input_feat_extract[key].sum()							,       input_processor[key].sum()							,       delta=1E-2  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:int   =   self.get_feature_extractor()
								__magic_name__		:Tuple   =   self.get_tokenizer()

								__magic_name__		:Optional[int]   =   ClapProcessor(tokenizer=__lowerCAmelCase							,       feature_extractor=__lowerCAmelCase  )

								__magic_name__		:List[Any]   =   '''This is a test string'''

								__magic_name__		:Any   =   processor(text=__lowerCAmelCase  )

								__magic_name__		:Dict   =   tokenizer(__lowerCAmelCase  )

								for key in encoded_tok.keys():
												self.assertListEqual(encoded_tok[key]							,       encoded_processor[key]  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:int   =   self.get_feature_extractor()
								__magic_name__		:Optional[Any]   =   self.get_tokenizer()

								__magic_name__		:Any   =   ClapProcessor(tokenizer=__lowerCAmelCase							,       feature_extractor=__lowerCAmelCase  )

								__magic_name__		:Optional[int]   =   [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

								__magic_name__		:Optional[Any]   =   processor.batch_decode(__lowerCAmelCase  )
								__magic_name__		:List[Any]   =   tokenizer.batch_decode(__lowerCAmelCase  )

								self.assertListEqual(__lowerCAmelCase							,       __lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:List[str]   =   self.get_feature_extractor()
								__magic_name__		:List[Any]   =   self.get_tokenizer()

								__magic_name__		:List[Any]   =   ClapProcessor(tokenizer=__lowerCAmelCase							,       feature_extractor=__lowerCAmelCase  )

								self.assertListEqual(
								    processor.model_input_names[2:]							,       feature_extractor.model_input_names							,       msg='''`processor` and `feature_extractor` model input names do not match'''							,       )














def   __lowercase       (			snake_case			):







				"""simple docstring"""






				return "".join([hex(snake_case			)[2:].zfill(2			).upper() for byte in list(snake_case			)]			)

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				if (len(snake_case			) % 2) != 0:
								raise ValueError(
								    '''Base16 encoded data is invalid:
Data does not have an even number of hex digits.'''			)
				# Check the character set - the standard base16 alphabet
				# is uppercase according to RFC3548 section 6
				if not set(snake_case			) <= set('''0123456789ABCDEF'''			):
								raise ValueError(
								    '''Base16 encoded data is invalid:
Data is not uppercase hex or it contains invalid characters.'''			)
				# For every two hexadecimal digits (= a byte), turn it into an integer.
				# Then, string the result together into bytes, and return it.
				return bytes(int(data[i] + data[i + 1],	1_6			) for i in range(0,	len(snake_case			),	2			)			)


if __name__ == "__main__":
					import doctest

					doctest.testmod()






