code: def test_abs_square(self, dtype):
      test_values = np.array([1 + 2j, 0.3 - 1j, 3.5 - 3.7j])
      input_values = tf.cast(test_values, dtype)
      actual_abs_square = rk_util.abs_square(input_values)
      expected_abs_square = tf.math.square(tf.abs(input_values))
      self.assertAllClose(actual_abs_square, expected_abs_square)
  
file_path: probability/tensorflow_probability/python/math/ode/runge_kutta_util_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.ode import runge_kutta_util
label_desc: Use image node_id 6 for calling the RungeKuttaUtilTest obj's underlying member method code with example usage: obj.test_abs_square(dtype) without return types