


from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase = 1 / sqrt(2      )      ):
							__snake_case						:     List[Any]									=  tau * frequency / samplerate
							__snake_case						:     Union[str, Any]									=  sin(__lowerCamelCase      )
							__snake_case						:     int									=  cos(__lowerCamelCase      )
							__snake_case						:     Union[str, Any]									=  _sin / (2 * q_factor)

							__snake_case						:     str									=  (1 - _cos) / 2
							__snake_case						:     List[Any]									=  1 - _cos

							__snake_case						:     Any									=  1 + alpha
							__snake_case						:     List[str]									=  -2 * _cos
							__snake_case						:     List[str]									=  1 - alpha

							__snake_case						:     str									=  IIRFilter(2      )
							filt.set_coefficients([aa, aa, aa]				,      [ba, ba, ba]      )
							return filt







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase = 1 / sqrt(2      )      ):
							__snake_case						:     Dict									=  tau * frequency / samplerate
							__snake_case						:     List[str]									=  sin(__lowerCamelCase      )
							__snake_case						:     Dict									=  cos(__lowerCamelCase      )
							__snake_case						:     int									=  _sin / (2 * q_factor)

							__snake_case						:     Tuple									=  (1 + _cos) / 2
							__snake_case						:     Tuple									=  -1 - _cos

							__snake_case						:     List[Any]									=  1 + alpha
							__snake_case						:     Optional[Any]									=  -2 * _cos
							__snake_case						:     Optional[Any]									=  1 - alpha

							__snake_case						:     Union[str, Any]									=  IIRFilter(2      )
							filt.set_coefficients([aa, aa, aa]				,      [ba, ba, ba]      )
							return filt







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase = 1 / sqrt(2      )      ):
							__snake_case						:     Union[str, Any]									=  tau * frequency / samplerate
							__snake_case						:     Optional[Any]									=  sin(__lowerCamelCase      )
							__snake_case						:     Optional[Any]									=  cos(__lowerCamelCase      )
							__snake_case						:     Tuple									=  _sin / (2 * q_factor)

							__snake_case						:     Any									=  _sin / 2
							__snake_case						:     Tuple									=  0
							__snake_case						:     Optional[int]									=  -ba

							__snake_case						:     List[str]									=  1 + alpha
							__snake_case						:     Dict									=  -2 * _cos
							__snake_case						:     int									=  1 - alpha

							__snake_case						:     int									=  IIRFilter(2      )
							filt.set_coefficients([aa, aa, aa]				,      [ba, ba, ba]      )
							return filt







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase = 1 / sqrt(2      )      ):
							__snake_case						:     Tuple									=  tau * frequency / samplerate
							__snake_case						:     Union[str, Any]									=  sin(__lowerCamelCase      )
							__snake_case						:     str									=  cos(__lowerCamelCase      )
							__snake_case						:     Any									=  _sin / (2 * q_factor)

							__snake_case						:     Optional[Any]									=  1 - alpha
							__snake_case						:     Optional[int]									=  -2 * _cos
							__snake_case						:     Optional[Any]									=  1 + alpha

							__snake_case						:     List[Any]									=  IIRFilter(2      )
							filt.set_coefficients([ba, ba, ba]				,      [ba, ba, ba]      )
							return filt







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase = 1 / sqrt(2      )				,      ):
							__snake_case						:     Tuple									=  tau * frequency / samplerate
							__snake_case						:     List[str]									=  sin(__lowerCamelCase      )
							__snake_case						:     List[Any]									=  cos(__lowerCamelCase      )
							__snake_case						:     Optional[int]									=  _sin / (2 * q_factor)
							__snake_case						:     Optional[int]									=  1_0 ** (gain_db / 4_0)

							__snake_case						:     Optional[int]									=  1 + alpha * big_a
							__snake_case						:     Dict									=  -2 * _cos
							__snake_case						:     Optional[Any]									=  1 - alpha * big_a
							__snake_case						:     Optional[int]									=  1 + alpha / big_a
							__snake_case						:     Union[str, Any]									=  -2 * _cos
							__snake_case						:     Optional[Any]									=  1 - alpha / big_a

							__snake_case						:     Union[str, Any]									=  IIRFilter(2      )
							filt.set_coefficients([aa, aa, aa]				,      [ba, ba, ba]      )
							return filt







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase = 1 / sqrt(2      )				,      ):
							__snake_case						:     Tuple									=  tau * frequency / samplerate
							__snake_case						:     int									=  sin(__lowerCamelCase      )
							__snake_case						:     Union[str, Any]									=  cos(__lowerCamelCase      )
							__snake_case						:     str									=  _sin / (2 * q_factor)
							__snake_case						:     Union[str, Any]									=  1_0 ** (gain_db / 4_0)
							__snake_case						:     Dict									=  (big_a + 1) - (big_a - 1) * _cos
							__snake_case						:     Tuple									=  (big_a + 1) + (big_a - 1) * _cos
							__snake_case						:     int									=  (big_a - 1) - (big_a + 1) * _cos
							__snake_case						:     Tuple									=  (big_a - 1) + (big_a + 1) * _cos
							__snake_case						:     Any									=  2 * sqrt(__lowerCamelCase      ) * alpha

							__snake_case						:     Any									=  big_a * (pmc + aaa)
							__snake_case						:     Any									=  2 * big_a * mpc
							__snake_case						:     Any									=  big_a * (pmc - aaa)
							__snake_case						:     List[Any]									=  ppmc + aaa
							__snake_case						:     List[str]									=  -2 * pmpc
							__snake_case						:     str									=  ppmc - aaa

							__snake_case						:     Tuple									=  IIRFilter(2      )
							filt.set_coefficients([aa, aa, aa]				,      [ba, ba, ba]      )
							return filt







def 							lowerCAmelCase_	(   __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase				,      __lowerCamelCase = 1 / sqrt(2      )				,      ):
							__snake_case						:     List[Any]									=  tau * frequency / samplerate
							__snake_case						:     Dict									=  sin(__lowerCamelCase      )
							__snake_case						:     List[Any]									=  cos(__lowerCamelCase      )
							__snake_case						:     int									=  _sin / (2 * q_factor)
							__snake_case						:     str									=  1_0 ** (gain_db / 4_0)
							__snake_case						:     Optional[int]									=  (big_a + 1) - (big_a - 1) * _cos
							__snake_case						:     List[str]									=  (big_a + 1) + (big_a - 1) * _cos
							__snake_case						:     Tuple									=  (big_a - 1) - (big_a + 1) * _cos
							__snake_case						:     Any									=  (big_a - 1) + (big_a + 1) * _cos
							__snake_case						:     str									=  2 * sqrt(__lowerCamelCase      ) * alpha

							__snake_case						:     Any									=  big_a * (ppmc + aaa)
							__snake_case						:     Tuple									=  -2 * big_a * pmpc
							__snake_case						:     Tuple									=  big_a * (ppmc - aaa)
							__snake_case						:     Dict									=  pmc + aaa
							__snake_case						:     Tuple									=  2 * mpc
							__snake_case						:     List[Any]									=  pmc - aaa

							__snake_case						:     Optional[Any]									=  IIRFilter(2      )
							filt.set_coefficients([aa, aa, aa]				,      [ba, ba, ba]      )
							return filt








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 UpperCAmelCase_				( unittest.TestCase ):


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       '''laion/clap-htsat-unfused'''
       A_          =       tempfile.mkdtemp()


  def 						__UpperCAmelCase     (							self ,**__snake_case ):



       """simple docstring"""





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


  def 						__UpperCAmelCase     (							self ,**__snake_case ):



       """simple docstring"""





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


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       shutil.rmtree(self.tmpdirname )


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       self.get_tokenizer()
       A_          =       self.get_feature_extractor()

       A_          =       ClapProcessor(tokenizer=__snake_case ,feature_extractor=__snake_case )

       processor.save_pretrained(self.tmpdirname )
       A_          =       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 						__UpperCAmelCase     (							self ):



       """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=__snake_case ,padding_value=1.0 )

       A_          =       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 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       self.get_feature_extractor()
       A_          =       self.get_tokenizer()

       A_          =       ClapProcessor(tokenizer=__snake_case ,feature_extractor=__snake_case )

       A_          =       floats_list((3, 1_0_0_0) )

       A_          =       feature_extractor(__snake_case ,return_tensors='''np''' )
       A_          =       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 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       self.get_feature_extractor()
       A_          =       self.get_tokenizer()

       A_          =       ClapProcessor(tokenizer=__snake_case ,feature_extractor=__snake_case )

       A_          =       '''This is a test string'''

       A_          =       processor(text=__snake_case )

       A_          =       tokenizer(__snake_case )

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


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       self.get_feature_extractor()
       A_          =       self.get_tokenizer()

       A_          =       ClapProcessor(tokenizer=__snake_case ,feature_extractor=__snake_case )

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

       A_          =       processor.batch_decode(__snake_case )
       A_          =       tokenizer.batch_decode(__snake_case )

       self.assertListEqual(__snake_case ,__snake_case )




  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       self.get_feature_extractor()
       A_          =       self.get_tokenizer()

       A_          =       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''' ,)



