code: def testAlignedEventDims(self):
      x = [tf.ones((3,), dtype=tf.float32), tf.ones((2, 2), tf.float32)]
      op = self.build_operator()
      bijector = (
          scale_matvec_linear_operator.ScaleMatvecLinearOperatorBlock(
              op, validate_args=True
          )
      )
      with self.assertRaisesRegexp(
          ValueError, "equal for all elements"
      ):
          self.evaluate(
              bijector.forward_log_det_jacobian(x, event_ndims=[1, 2])
          )
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import scale_matvec_linear_operator
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the _ScaleMatvecLinearOperatorBlockTest obj's underlying member method code with example usage: obj.testAlignedEventDims() without return types