code: def test_selection_not_greedy(self):
      policy_tree = {
          "leaf": False,
          "feature": "a_b_0",
          "threshold": 0.5,
          "left": {
              "leaf": True,
              "n_samples": 8,
              "treatment": "decrease",
          },
          "right": {
              "leaf": True,
              "n_samples": 6,
              "treatment": "increase",
          },
      }
      categoricals = np.array(["a", "a_b"])
      feature, comparison, value = CausalResult._parse_comparison(
          policy_tree, categoricals
      )
      # If greedy we would extract
      # feature="a" and category="b_0", which is wrong
      assert feature == "a_b"
      assert comparison == "eq"
      assert value == "0"
  
imports: import numpy
  from responsibleai._tools.causal.causal_result import CausalResult
label_desc: Use image node_id 2 for calling the TestCausalResultParseCategorial obj's underlying member method code with example usage: obj.test_selection_not_greedy() without return types