




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				):







     def       lowerCAmelCase_    (     self			)  ->   List[str]:



          '''simple docstring'''



          a     =				"laion/clap-htsat-unfused"
          a     =				tempfile.mkdtemp()







     def       lowerCAmelCase_    (     self  ,		**A			)  ->   Optional[Any]:



          '''simple docstring'''



          return RobertaTokenizer.from_pretrained(self.checkpoint  ,		**A			)







     def       lowerCAmelCase_    (     self  ,		**A			)  ->   Any:



          '''simple docstring'''



          return ClapFeatureExtractor.from_pretrained(self.checkpoint  ,		**A			)







     def       lowerCAmelCase_    (     self			)  ->   Union[str, Any]:



          '''simple docstring'''



          shutil.rmtree(self.tmpdirname			)







     def       lowerCAmelCase_    (     self			)  ->   str:



          '''simple docstring'''



          a     =				self.get_tokenizer()
          a     =				self.get_feature_extractor()

          a     =				ClapProcessor(tokenizer=A  ,		feature_extractor=A			)

          processor.save_pretrained(self.tmpdirname			)
          a     =				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       lowerCAmelCase_    (     self			)  ->   List[Any]:



          '''simple docstring'''



          a     =				ClapProcessor(tokenizer=self.get_tokenizer()  ,		feature_extractor=self.get_feature_extractor()			)
          processor.save_pretrained(self.tmpdirname			)

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

          a     =				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       lowerCAmelCase_    (     self			)  ->   str:



          '''simple docstring'''



          a     =				self.get_feature_extractor()
          a     =				self.get_tokenizer()

          a     =				ClapProcessor(tokenizer=A  ,		feature_extractor=A			)

          a     =				floats_list((3, 1000)			)

          a     =				feature_extractor(A  ,		return_tensors="np"			)
          a     =				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       lowerCAmelCase_    (     self			)  ->   int:



          '''simple docstring'''



          a     =				self.get_feature_extractor()
          a     =				self.get_tokenizer()

          a     =				ClapProcessor(tokenizer=A  ,		feature_extractor=A			)

          a     =				"This is a test string"

          a     =				processor(text=A			)

          a     =				tokenizer(A			)

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







     def       lowerCAmelCase_    (     self			)  ->   Optional[Any]:



          '''simple docstring'''



          a     =				self.get_feature_extractor()
          a     =				self.get_tokenizer()

          a     =				ClapProcessor(tokenizer=A  ,		feature_extractor=A			)

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

          a     =				processor.batch_decode(A			)
          a     =				tokenizer.batch_decode(A			)

          self.assertListEqual(A  ,		A			)







     def       lowerCAmelCase_    (     self			)  ->   List[Any]:



          '''simple docstring'''



          a     =				self.get_feature_extractor()
          a     =				self.get_tokenizer()

          a     =				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"  ,		)







import math
import unittest

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					bool:
     assert isinstance(__UpperCamelCase		, __UpperCamelCase) and (
         number >= 0
     ), "'number' must been an int and positive"

     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or number % 2 == 0 or number % 3 == 0:
          # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
          return False

     # All primes number are in format of 6k +/- 1
     for i in range(5		, int(math.sqrt(__UpperCamelCase) + 1)		, 6):
          if number % i == 0 or number % (i + 2) == 0:
               return False
     return True




class       a__	( unittest.TestCase				):







     def       lowerCAmelCase_    (     self			)  ->   List[str]:



          '''simple docstring'''



          self.assertTrue(is_prime(2			)			)
          self.assertTrue(is_prime(3			)			)
          self.assertTrue(is_prime(5			)			)
          self.assertTrue(is_prime(7			)			)
          self.assertTrue(is_prime(11			)			)
          self.assertTrue(is_prime(13			)			)
          self.assertTrue(is_prime(17			)			)
          self.assertTrue(is_prime(19			)			)
          self.assertTrue(is_prime(23			)			)
          self.assertTrue(is_prime(29			)			)







     def       lowerCAmelCase_    (     self			)  ->   Tuple:



          '''simple docstring'''



          with self.assertRaises(A			):
               is_prime(-19			)
          self.assertFalse(
              is_prime(0			)  ,		"Zero doesn't have any positive factors, primes must have exactly two."  ,		)
          self.assertFalse(
              is_prime(1			)  ,		"One only has 1 positive factor, primes must have exactly two."  ,		)
          self.assertFalse(is_prime(2 * 2			)			)
          self.assertFalse(is_prime(2 * 3			)			)
          self.assertFalse(is_prime(3 * 3			)			)
          self.assertFalse(is_prime(3 * 5			)			)
          self.assertFalse(is_prime(3 * 5 * 7			)			)


if __name__ == "__main__":
   unittest.main()

