code: def test_secant_finds_any_roots_from_two_initial_positions(self):
      f = lambda x: (5 * x**3 - 3 * x) / 2.0
  
      x0, x1 = -1, 10
      guess = tf.constant([x0, x1], dtype=tf.float64)
      next_guess = tf.constant([x0 - 1, x1 - 1], dtype=tf.float64)
  
      tolerance = 1e-8
      roots, value_at_roots, _ = self.evaluate(
          root_search.find_root_secant(
              f,
              guess,
              next_guess,
              position_tolerance=tolerance,
              stopping_policy_fn=tf.reduce_any,
          )
      )
  
      expected_roots = [optimize.newton(f, x0), optimize.newton(f, x1)]
  
      self.assertAllClose(roots[0], expected_roots[0], atol=tolerance)
      self.assertNotAllClose(
          roots[1], expected_roots[1], atol=tolerance
      )
  
      self.assertAllClose(value_at_roots[0], 0.0)
      self.assertAllClose(value_at_roots[1], f(roots[1]))
      self.assertNotAllClose(value_at_roots[1], 0.0)
  
imports: import numpy
  import scipy.optimize
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import special_math
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import root_search
label_desc: Use image node_id 4 for calling the SecantRootSearchTest obj's underlying member method code with example usage: obj.test_secant_finds_any_roots_from_two_initial_positions() without return types