code: def average_of_slope_transform(X: np.ndarray) -> np.ndarray:
      """Compute the average of a slope between points for multiple series.
  
      Parameters
      ----------
      X: 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]))
          The derivative of the time series X.
      """
      from sktime.distances._ddtw_numba import average_of_slope
  
      derivative_X = []
      for val in X:
          derivative_X.append(average_of_slope(val))
      return np.array(derivative_X)
  
imports: from typing import Any, Callable, List, Tuple
  import numpy
  from sktime.distances.base import DistanceAlignmentPathCallable, DistanceCallable, NumbaDistance
label_desc: Use image node_id 1 for calling a global function with example usage: average_of_slope_transform(X) and returns: np