code: def testLaplaceStd(self):
      loc_v = np.array([1.0, 3.0, 2.5])
      scale_v = np.array([1.0, 4.0, 5.0])
      dist = laplace.Laplace(
          loc=loc_v, scale=scale_v, validate_args=True
      )
      self.assertEqual(dist.stddev().shape, (3,))
      expected_stddev = sp_stats.laplace.std(loc_v, scale=scale_v)
      self.assertAllClose(self.evaluate(dist.stddev()), expected_stddev)
  
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 12 for calling the LaplaceTest obj's underlying member method code with example usage: obj.testLaplaceStd() without return types