
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      ):



      """simple docstring"""







      def 		snake_case_			(      self		:       Optional[Any]				):
          __lowercase		:			List[str]	    =       '''laion/clap-htsat-unfused'''
          __lowercase		:			Optional[Any]	    =       tempfile.mkdtemp()




      def 		snake_case_			(      self		:       str				,       **_snake_case		:       Any				):
          return RobertaTokenizer.from_pretrained(self.checkpoint				,       **_snake_case				)




      def 		snake_case_			(      self		:       Dict				,       **_snake_case		:       Any				):
          return ClapFeatureExtractor.from_pretrained(self.checkpoint				,       **_snake_case				)




      def 		snake_case_			(      self		:       Optional[Any]				):
          shutil.rmtree(self.tmpdirname				)




      def 		snake_case_			(      self		:       str				):
          __lowercase		:			int	    =       self.get_tokenizer()
          __lowercase		:			int	    =       self.get_feature_extractor()

          __lowercase		:			Optional[Any]	    =       ClapProcessor(tokenizer=_snake_case				,       feature_extractor=_snake_case				)

          processor.save_pretrained(self.tmpdirname				)
          __lowercase		:			List[str]	    =       ClapProcessor.from_pretrained(self.tmpdirname				)

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

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




      def 		snake_case_			(      self		:       Tuple				):
          __lowercase		:			Dict	    =       ClapProcessor(tokenizer=self.get_tokenizer()				,       feature_extractor=self.get_feature_extractor()				)
          processor.save_pretrained(self.tmpdirname				)

          __lowercase		:			Any	    =       self.get_tokenizer(bos_token='''(BOS)'''				,       eos_token='''(EOS)'''				)
          __lowercase		:			Tuple	    =       self.get_feature_extractor(do_normalize=_snake_case				,       padding_value=1.0				)

          __lowercase		:			int	    =       ClapProcessor.from_pretrained(
              self.tmpdirname				,       bos_token='''(BOS)'''				,       eos_token='''(EOS)'''				,       do_normalize=_snake_case				,       padding_value=1.0				)

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

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




      def 		snake_case_			(      self		:       Union[str, Any]				):
          __lowercase		:			Optional[Any]	    =       self.get_feature_extractor()
          __lowercase		:			Optional[int]	    =       self.get_tokenizer()

          __lowercase		:			Optional[int]	    =       ClapProcessor(tokenizer=_snake_case				,       feature_extractor=_snake_case				)

          __lowercase		:			Tuple	    =       floats_list((3, 1000)				)

          __lowercase		:			Any	    =       feature_extractor(_snake_case				,       return_tensors='''np'''				)
          __lowercase		:			Optional[Any]	    =       processor(audios=_snake_case				,       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 		snake_case_			(      self		:       Union[str, Any]				):
          __lowercase		:			Dict	    =       self.get_feature_extractor()
          __lowercase		:			Optional[int]	    =       self.get_tokenizer()

          __lowercase		:			int	    =       ClapProcessor(tokenizer=_snake_case				,       feature_extractor=_snake_case				)

          __lowercase		:			Any	    =       '''This is a test string'''

          __lowercase		:			str	    =       processor(text=_snake_case				)

          __lowercase		:			Dict	    =       tokenizer(_snake_case				)

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




      def 		snake_case_			(      self		:       Optional[Any]				):
          __lowercase		:			int	    =       self.get_feature_extractor()
          __lowercase		:			Union[str, Any]	    =       self.get_tokenizer()

          __lowercase		:			Dict	    =       ClapProcessor(tokenizer=_snake_case				,       feature_extractor=_snake_case				)

          __lowercase		:			Dict	    =       [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

          __lowercase		:			Dict	    =       processor.batch_decode(_snake_case				)
          __lowercase		:			Tuple	    =       tokenizer.batch_decode(_snake_case				)

          self.assertListEqual(_snake_case				,       _snake_case				)




      def 		snake_case_			(      self		:       Optional[int]				):
          __lowercase		:			Optional[Any]	    =       self.get_feature_extractor()
          __lowercase		:			Optional[int]	    =       self.get_tokenizer()

          __lowercase		:			Union[str, Any]	    =       ClapProcessor(tokenizer=_snake_case				,       feature_extractor=_snake_case				)

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




from math import factorial

__lowerCAmelCase					:			Dict			      =		{str(d): factorial(d) for d in range(10)}


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						int:
    return sum(DIGIT_FACTORIAL[d] for d in str(__lowerCAmelCase	)	)


def     UpperCAmelCase_  (						) ->						int:
    __lowercase		:			int	    =       7 * factorial(9	) + 1
    return sum(i for i in range(3	,					__lowerCAmelCase	) if sum_of_digit_factorial(__lowerCAmelCase	) == i	)


if __name__ == "__main__":
 print(F'{solution() = }')


