docs: def compute(self, rtdc_ds):
          """Compute the feature with self.method
  
          Parameters
          ----------
          rtdc_ds: instance of RTDCBase
              The dataset to compute the feature for
  
          Returns
          -------
          feature: array- or list-like
              The computed data feature (read-only).
          """
          data = self.method(rtdc_ds)
          dsize = len(rtdc_ds) - len(data)
  
          if dsize > 0:
              msg = "Growing feature {} in {} by {} to match event number!"
              warnings.warn(msg.format(self.feature_name, rtdc_ds, abs(dsize)),
                            BadFeatureSizeWarning)
              data.resize(len(rtdc_ds), refcheck=False)
              data[-dsize:] = np.nan
          elif dsize < 0:
              msg = "Shrinking feature {} in {} by {} to match event number!"
              warnings.warn(msg.format(self.feature_name, rtdc_ds, abs(dsize)),
                            BadFeatureSizeWarning)
              data.resize(len(rtdc_ds), refcheck=False)
  
          if isinstance(data, np.ndarray):
              data.setflags(write=False)
          elif isinstance(data, list):
              for item in data:
                  if isinstance(item, np.ndarray):
                      item.setflags(write=False)
  
          return data