code: def _numba_squared_distance(x: np.ndarray, y: np.ndarray) -> float:
      """Squared distance compiled to no_python.
  
      Parameters
      ----------
      x: np.ndarray (2d array)
          First time series.
      y: np.ndarray (2d array)
          Second time series.
  
      Returns
      -------
      distance: float
          Squared distance between the x and y.
      """
      dist = 0.0
      for i in range(x.shape[0]):
          dist += _local_squared_distance(x[i], y[i])
      return dist
  
label_desc: Use image node_id 1 for calling a global function with example usage: _numba_squared_distance(x, y) and returns: dist