code: def testExponentialWithSoftplusRate(self):
      lam = [-2.2, -3.4]
      exponential = exponential_lib.ExponentialWithSoftplusRate(
          rate=lam
      )
      self.assertAllClose(
          self.evaluate(nn_ops.softplus(lam)),
          self.evaluate(exponential.rate),
      )
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.distributions import exponential
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 11 for calling the ExponentialTest obj's underlying member method code with example usage: obj.testExponentialWithSoftplusRate() without return types