code: def testWithNoIteration(self):
      left_bracket = [-10, 1]
      right_bracket = [10, -1]
  
      first_guess = tf.constant(left_bracket, dtype=tf.float64)
      second_guess = tf.constant(right_bracket, dtype=tf.float64)
  
      # Skip iteration entirely.
      # Should return a Tensor built from the best guesses in input positions.
      guess, result = self.evaluate(
          [
              tf.constant([-10, -1], dtype=tf.float64),
              brentq(
                  polynomial5,
                  first_guess,
                  second_guess,
                  max_iterations=0,
              ),
          ]
      )
  
      self.assertAllEqual(result.estimated_root, guess)
  
imports: import math
  import tensorflow.compat.v2
  import tf_quant_finance
  from tensorflow.python.framework import test_util
  from tf_quant_finance.math.root_search import utils
label_desc: Use image node_id 8 for calling the BrentqTest obj's underlying member method code with example usage: obj.testWithNoIteration() without return types