docs: def kde_none(events_x, events_y, xout=None, yout=None):
      """ No Kernel Density Estimation
  
      Parameters
      ----------
      events_x, events_y: 1D ndarray
          The input points for kernel density estimation. Input
          is flattened automatically.
      xout, yout: ndarray
          The coordinates at which the KDE should be computed.
          If set to none, input coordinates are used.
  
      Returns
      -------
      density: ndarray, same shape as `xout`
          The KDE for the points in (xout, yout)
  
      Notes
      -----
      This method is a convenience method that always returns ones in the shape
      that the other methods in this module produce.
      """
      valid_combi = ((xout is None and yout is None) or
                     (xout is not None and yout is not None)
                     )
      if not valid_combi:
          raise ValueError("Both `xout` and `yout` must be (un)set.")
  
      if yout is None and yout is None:
          xout = events_x
          yout = events_y
  
      return np.ones(xout.shape)