code: def _jacobian_of_diffable_kernel(x1, x2):
      """Analytic Jacobian of diffable_kernel"""
      return -2 * (x1 - x2) * qml.math.exp(-((x1 - x2) ** 2))
  
imports: import math
  import sys
  from functools import partial
  import pytest
  import numpy
  import pennylane
  import pennylane.kernels
  from pennylane import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: _jacobian_of_diffable_kernel(x1, x2) and returns: unknown