code: def testLaplaceLogSurvivalFunction(self):
      batch_size = 6
      loc = constant_op.constant([2.0] * batch_size)
      scale = constant_op.constant([3.0] * batch_size)
      loc_v = 2.0
      scale_v = 3.0
      x = np.array([-2.5, 2.5, -4.0, 0.1, 1.0, 2.0], dtype=np.float32)
  
      laplace = laplace_lib.Laplace(loc=loc, scale=scale)
  
      sf = laplace.log_survival_function(x)
      self.assertEqual(sf.get_shape(), (6,))
      if not stats:
          return
      expected_sf = stats.laplace.logsf(x, loc_v, scale=scale_v)
      self.assertAllClose(self.evaluate(sf), expected_sf)
  
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 7 for calling the LaplaceTest obj's underlying member method code with example usage: obj.testLaplaceLogSurvivalFunction() without return types