code: def test_synthetic_data(self):
      random.seed(0)
      num_rows = 1000
      sf = tc.SFrame(
          {
              "num": [random.randint(0, 100) for i in range(num_rows)],
              "cat": [
                  ["a", "b"][random.randint(0, 1)]
                  for i in range(num_rows)
              ],
          }
      )
      coeffs = [random.random(), random.random()]
  
      def make_target(row):
          if row["cat"] == "a":
              return row["num"] * coeffs[0]
          else:
              return row["num"] * coeffs[1]
  
      sf["target"] = sf.apply(make_target)
      m = tc.boosted_trees_regression.create(
          sf,
          target="target",
          validation_set=None,
          random_seed=0,
          max_depth=10,
          max_iterations=3,
      )
      self._check_json_model_predict_consistency(m, sf)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate
  import unittest
  import json
  import random
  import numpy
  import pytest
label_desc: Use image node_id 2 for calling the TreeJsonDumpTest obj's underlying member method code with example usage: obj.test_synthetic_data() and returns: unknown, unknown