code: def vectorize_inhibit(audio: np.ndarray) -> np.ndarray:
      
  
      def samp(x):
          return int(pr.sample_rate * x)
  
      inputs = []
      for offset in range(samp(inhibit_t), samp(inhibit_dist_t), samp(inhibit_hop_t)):
          if len(audio) - offset < samp(pr.buffer_t / 2.):
              break
          inputs.append(vectorize(audio[:-offset]))
      return np.array(inputs) if inputs else np.empty((0, pr.n_features, pr.feature_size))
docs: Returns an array of inputs generated from the
      wake word audio that shouldn't cause an activation