code: def _kstest(self, loc, scale, samples):
      # Uses the Kolmogorov-Smirnov test for goodness of fit.
      ks, _ = sp_stats.kstest(
          samples, sp_stats.laplace(loc, scale=scale).cdf
      )
      # Return True when the test passes.
      return ks < 0.02
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import laplace
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 17 for calling the LaplaceTest obj's underlying member method code with example usage: obj._kstest(loc, scale, samples) and returns: unknown