code: def average_of_slope(q: np.ndarray) -> np.ndarray:
      r"""Compute the average of a slope between points.
  
      Computes the average of the slope of the line through the point in question and
      its left neighbour, and the slope of the line through the left neighbour and the
      right neighbour. proposed in [1] for use in this context.
  
      .. math::
      q'_(i) = \frac{{}(q_{i} - q_{i-1} + ((q_{i+1} - q_{i-1}/2)}{2}
  
      Where q is the original time series and q' is the derived time series.
  
      Parameters
      ----------
      q: np.ndarray (of shape (d, m) where d is the dimensions and m is the timepoints.
          A time series.
  
      Returns
      -------
      np.ndarray (2d array of shape nxm where n is len(q.shape[0]-2) and m is
                  len(q.shape[1]))
          Array containing the derivative of q.
  
      References
      ----------
      .. [1] Keogh E, Pazzani M Derivative dynamic time warping. In: proceedings of 1st
      SIAM International Conference on Data Mining, 2001
      """
      q = q.transpose()
      q2 = 0.25 * q[2:] + 0.5 * q[1:-1] - 0.75 * q[:-2]
      q2 = q2.transpose()
      return q2
  
label_desc: Use image node_id 1 for calling a global function with example usage: average_of_slope(q) and returns: q2