code: def test_process_single_mathqa_example_with_import(self):
      # This is a training MathQA problem which involve an import.
      example = {
          "Problem": "the length of a rectangular garden is three times its width . if "
          "the area of the rectangular garden is 588 square meters , then "
          "what is the width of the rectangular garden ?",
          "Rationale": '"let x be the width of the garden . 3 x ^ 2 = 588 x ^ 2 = 196 x '
          '= 14 the answer is c ."',
          "options": "a ) 12 , b ) 13 , c ) 14 , d ) 15 , e ) 16",
          "correct": "c",
          "annotated_formula": "sqrt(divide(588, const_3))",
          "linear_formula": "divide(n0,const_3)|sqrt(#0)|",
          "category": "geometry",
      }
  
      (
          answer_num,
          python_result,
          python_program,
          list_op,
          list_num,
      ) = tf_inputs.process_single_mathqa_example(example)
      self.assertEqual(
          answer_num, 14
      )  # we know it, because correct answer is c)
      self.assertAllClose(python_result, [196, 14])
      self.assertEqual(
          python_program,
          ["t0 = n0 / 3.0", "t1 = math.sqrt(max(0, t0))"],
      )
      self.assertEqual(list_op, ["divide(n0,const_3)", "sqrt(#0)"])
      self.assertEqual(list_num, [588])
  
      # Below we execute twice the Python program and once the DSL program.
      target_values = "import math\n"
      problem = example["Problem"]
      for i in range(len(list_num)):
          target_values += "n{} = {}\n".format(i, list_num[i])
          problem += " n{} = {}".format(i, list_num[i])
      target_values += "\n".join(python_program[:-1])
      final_line = python_program[-1].split("=")[1]
      target_values += "\nanswer ={}".format(final_line)
      var_dict = {}
      exec(
          target_values, globals(), var_dict
      )  # pylint: disable=exec-used
      self.assertAllClose(var_dict["answer"], 14)
      self.assertAllClose(
          tf_inputs.execute_mathqa_program(
              problem, target_values.split("\n")
          ),
          14,
      )
      self.assertAllClose(
          tf_inputs.execute_mathqa_dsl_program(
              problem, [example["linear_formula"]]
          ),
          14,
      )
  
imports: import collections
  import os
  from unittest import mock
  import gin
  import numpy
  from t5.data import assert_dataset
  from t5.data import preprocessors
  import tensorflow
  import tensorflow_datasets
  from trax.data import inputs
  from trax.data import tf_inputs
label_desc: Use image node_id 28 for calling the TFInputsTest obj's underlying member method code with example usage: obj.test_process_single_mathqa_example_with_import() without return types