code: def _kstest(self, loc, scale, samples):
      # Uses the Kolmogorov-Smirnov test for goodness of fit.
      if not stats:
          return True  # If scipy isn't available, return "True" for passing
      ks, _ = stats.kstest(samples, stats.laplace(loc, scale=scale).cdf)
      # Return True when the test passes.
      return ks < 0.02
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.distributions import laplace
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 16 for calling the LaplaceTest obj's underlying member method code with example usage: obj._kstest(loc, scale, samples) and returns: unknown, True