
'''simple docstring'''



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    _a				(unittest.TestCase):





       """simple docstring"""




       def        UpperCamelCase				(							self      )    ->			Optional[Any]:
          _SCREAMING_SNAKE_CASE      =				"""laion/clap-htsat-unfused"""
          _SCREAMING_SNAKE_CASE      =				tempfile.mkdtemp()






       def        UpperCamelCase				(							self       ,							**A__      )    ->			Optional[int]:
          return RobertaTokenizer.from_pretrained(self.checkpoint       ,							**A__      )






       def        UpperCamelCase				(							self       ,							**A__      )    ->			int:
          return ClapFeatureExtractor.from_pretrained(self.checkpoint       ,							**A__      )






       def        UpperCamelCase				(							self      )    ->			List[str]:
          shutil.rmtree(self.tmpdirname      )






       def        UpperCamelCase				(							self      )    ->			Dict:
          _SCREAMING_SNAKE_CASE      =				self.get_tokenizer()
          _SCREAMING_SNAKE_CASE      =				self.get_feature_extractor()

          _SCREAMING_SNAKE_CASE      =				ClapProcessor(tokenizer=A__       ,							feature_extractor=A__      )

          processor.save_pretrained(self.tmpdirname      )
          _SCREAMING_SNAKE_CASE      =				ClapProcessor.from_pretrained(self.tmpdirname      )

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

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






       def        UpperCamelCase				(							self      )    ->			List[str]:
          _SCREAMING_SNAKE_CASE      =				ClapProcessor(tokenizer=self.get_tokenizer()       ,							feature_extractor=self.get_feature_extractor()      )
          processor.save_pretrained(self.tmpdirname      )

          _SCREAMING_SNAKE_CASE      =				self.get_tokenizer(bos_token="""(BOS)"""       ,							eos_token="""(EOS)"""      )
          _SCREAMING_SNAKE_CASE      =				self.get_feature_extractor(do_normalize=A__       ,							padding_value=1.0      )

          _SCREAMING_SNAKE_CASE      =				ClapProcessor.from_pretrained(
              self.tmpdirname       ,							bos_token="""(BOS)"""       ,							eos_token="""(EOS)"""       ,							do_normalize=A__       ,							padding_value=1.0      )

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

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






       def        UpperCamelCase				(							self      )    ->			Union[str, Any]:
          _SCREAMING_SNAKE_CASE      =				self.get_feature_extractor()
          _SCREAMING_SNAKE_CASE      =				self.get_tokenizer()

          _SCREAMING_SNAKE_CASE      =				ClapProcessor(tokenizer=A__       ,							feature_extractor=A__      )

          _SCREAMING_SNAKE_CASE      =				floats_list((3, 10_00)      )

          _SCREAMING_SNAKE_CASE      =				feature_extractor(A__       ,							return_tensors="""np"""      )
          _SCREAMING_SNAKE_CASE      =				processor(audios=A__       ,							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        UpperCamelCase				(							self      )    ->			str:
          _SCREAMING_SNAKE_CASE      =				self.get_feature_extractor()
          _SCREAMING_SNAKE_CASE      =				self.get_tokenizer()

          _SCREAMING_SNAKE_CASE      =				ClapProcessor(tokenizer=A__       ,							feature_extractor=A__      )

          _SCREAMING_SNAKE_CASE      =				"""This is a test string"""

          _SCREAMING_SNAKE_CASE      =				processor(text=A__      )

          _SCREAMING_SNAKE_CASE      =				tokenizer(A__      )

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






       def        UpperCamelCase				(							self      )    ->			Optional[Any]:
          _SCREAMING_SNAKE_CASE      =				self.get_feature_extractor()
          _SCREAMING_SNAKE_CASE      =				self.get_tokenizer()

          _SCREAMING_SNAKE_CASE      =				ClapProcessor(tokenizer=A__       ,							feature_extractor=A__      )

          _SCREAMING_SNAKE_CASE      =				[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

          _SCREAMING_SNAKE_CASE      =				processor.batch_decode(A__      )
          _SCREAMING_SNAKE_CASE      =				tokenizer.batch_decode(A__      )

          self.assertListEqual(A__       ,							A__      )






       def        UpperCamelCase				(							self      )    ->			str:
          _SCREAMING_SNAKE_CASE      =				self.get_feature_extractor()
          _SCREAMING_SNAKE_CASE      =				self.get_tokenizer()

          _SCREAMING_SNAKE_CASE      =				ClapProcessor(tokenizer=A__       ,							feature_extractor=A__      )

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








'''simple docstring'''



def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_						)     ->     str:




   """simple docstring"""
   return "".join([hex(SCREAMING_SNAKE_CASE_						)[2:].zfill(2						).upper() for byte in list(SCREAMING_SNAKE_CASE_						)]						)
def    lowerCAmelCase_	(				SCREAMING_SNAKE_CASE_						)     ->     bytes:




   """simple docstring"""
   # Check data validity, following RFC3548
   # https://www.ietf.org/rfc/rfc3548.txt
   if (len(SCREAMING_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(SCREAMING_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]    ,      16						) for i in range(0    ,      len(SCREAMING_SNAKE_CASE_						)    ,      2						)						)


if __name__ == "__main__":
     import doctest

     doctest.testmod()






