code: def testKwargs(self):
      zeros = tf.zeros(1)
  
      bijectors = [
          inline.Inline(  # pylint: disable=g-complex-comprehension
              forward_fn=mock.Mock(return_value=zeros),
              inverse_fn=mock.Mock(return_value=zeros),
              forward_log_det_jacobian_fn=mock.Mock(return_value=zeros),
              inverse_log_det_jacobian_fn=mock.Mock(return_value=zeros),
              forward_min_event_ndims=0,
              name="inner{}".format(i),
          )
          for i in range(2)
      ]
  
      bijector = blockwise.Blockwise(bijectors)
  
      x = [1, 2]
      bijector.forward(x, inner0={"arg": 1}, inner1={"arg": 2})
      bijector.inverse(x, inner0={"arg": 3}, inner1={"arg": 4})
      bijector.forward_log_det_jacobian(
          x, event_ndims=1, inner0={"arg": 5}, inner1={"arg": 6}
      )
      bijector.inverse_log_det_jacobian(
          x, event_ndims=1, inner0={"arg": 7}, inner1={"arg": 8}
      )
  
      bijectors[0]._forward.assert_any_call(mock.ANY, arg=1)
      bijectors[1]._forward.assert_any_call(mock.ANY, arg=2)
      bijectors[0]._inverse.assert_any_call(mock.ANY, arg=3)
      bijectors[1]._inverse.assert_any_call(mock.ANY, arg=4)
      bijectors[0]._forward_log_det_jacobian.assert_called_with(
          mock.ANY, arg=5
      )
      bijectors[1]._forward_log_det_jacobian.assert_called_with(
          mock.ANY, arg=6
      )
      bijectors[0]._inverse_log_det_jacobian.assert_called_with(
          mock.ANY, arg=7
      )
      bijectors[1]._inverse_log_det_jacobian.assert_called_with(
          mock.ANY, arg=8
      )
  
imports: from absl.testing import parameterized
  import mock
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import blockwise
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import inline
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import scale_matvec_diag
  from tensorflow_probability.python.bijectors import softmax_centered
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 10 for calling the BlockwiseBijectorTest obj's underlying member method code with example usage: obj.testKwargs() without return types