old_contents: ''' Filters that operate on TextStim inputs. '''
  
  from pliers.stimuli import AudioStim
  from pliers.utils import attempt_to_import, verify_dependencies
  from .base import Filter, TemporalTrimmingFilter
  
  librosa = attempt_to_import('librosa')
  
  class AudioFilter(Filter):
  
      ''' Base class for all audio filters. '''
  
      _input_type = AudioStim
  
  
  class AudioTrimmingFilter(TemporalTrimmingFilter, AudioFilter):
      pass
  
  
  class AudioResamplingFilter(AudioFilter):
      
      ''' Librosa-based audio resampling Filter.
          Uses librosa.core.resample function.
  
      Args:
          target_sr (float): Target sampling rate (in Hz).
          resample_type (str): Type of resampling. Must be one of 
              'kaiser_best', 'kaiser_fast', 'scipy', 'fft' or 
              'polyphase'. See librosa.core.resample documentation for 
              more details.
          librosa_kwargs: Optional keyword args passed onto the
              librosa resampling function.
      '''
      
      _log_attributes = ('target_sr', 'resample_type')
      
      def __init__(self, target_sr=22050, resample_type='kaiser_best',
                   **librosa_kwargs):
          verify_dependencies(['librosa'])
          self.target_sr = target_sr
          self.resample_type = resample_type
          self.librosa_kwargs = librosa_kwargs
          super(AudioResamplingFilter, self).__init__()
  
      def _filter(self, stim):
          stim.data = librosa.core.resample(y=stim.data,
                                            orig_sr=stim.sampling_rate,
                                            target_sr=self.target_sr,
                                            resample_type=self.resample_type,
                                            **self.librosa_kwargs)
          stim.sr = self.target_sr
          
          return stim
new_contents: ''' Filters that operate on TextStim inputs. '''
  
  from pliers.stimuli import AudioStim
  from pliers.utils import attempt_to_import, verify_dependencies
  from .base import Filter, TemporalTrimmingFilter
  
  librosa = attempt_to_import('librosa')
  
  class AudioFilter(Filter):
  
      ''' Base class for all audio filters. '''
  
      _input_type = AudioStim
  
  
  class AudioTrimmingFilter(TemporalTrimmingFilter, AudioFilter):
      pass
  
  
  class AudioResamplingFilter(AudioFilter):
      
      ''' Librosa-based audio resampling Filter.
          Uses librosa.core.resample function.
  
      Args:
          target_sr (float): Target sampling rate (in Hz).
          resample_type (str): Type of resampling. Must be one of 
              'kaiser_best', 'kaiser_fast', 'scipy', 'fft' or 
              'polyphase'. See librosa.core.resample documentation for 
              more details.
          librosa_kwargs: Optional keyword args passed onto the
              librosa resampling function.
      '''
      
      _log_attributes = ('target_sr', 'resample_type')
      
      def __init__(self, target_sr=22050, resample_type='kaiser_best',
                   **librosa_kwargs):
          verify_dependencies(['librosa'])
          self.target_sr = target_sr
          self.resample_type = resample_type
          self.librosa_kwargs = librosa_kwargs
          super(AudioResamplingFilter, self).__init__()
  
      def _filter(self, stim):
          stim.data = librosa.core.resample(y=stim.data,
                                            orig_sr=stim.sampling_rate,
                                            target_sr=self.target_sr,
                                            resample_type=self.resample_type,
                                            **self.librosa_kwargs)
          stim.sampling_rate = self.target_sr
          
          return stim
subject: change filtered stimulus sampling_rate value