code: def test_predict(self, mock_init: Mock) -> None:
      # pyre-fixme[20]: Argument `model` expected.
      ma = DiscreteModelBridge()
      model = mock.MagicMock(
          DiscreteModel, autospec=True, instance=True
      )
      model.predict.return_value = (
          np.array([[1.0, -1], [2.0, -2]]),
          np.stack(
              (
                  np.array([[1.0, 4.0], [4.0, 6]]),
                  np.array([[2.0, 5.0], [5.0, 7]]),
              )
          ),
      )
      ma.model = model
      ma.parameters = ["x", "y", "z"]
      ma.outcomes = ["a", "b"]
      observation_data = ma._predict(self.observation_features)
      X = [[0, "foo", True], [1, "foo", True], [1, "bar", True]]
      self.assertTrue(model.predict.mock_calls[0][2]["X"], X)
      for i, od in enumerate(observation_data):
          self.assertEqual(od, self.observation_data[i])
  
imports: from unittest import mock
  from unittest.mock import Mock
  import numpy
  from ax.core.metric import Metric
  from ax.core.objective import Objective
  from ax.core.observation import Observation, ObservationData, ObservationFeatures
  from ax.core.optimization_config import OptimizationConfig
  from ax.core.outcome_constraint import ComparisonOp, OutcomeConstraint
  from ax.core.parameter import ChoiceParameter, FixedParameter, ParameterType, RangeParameter
  from ax.core.search_space import SearchSpace
  from ax.exceptions.core import UserInputError
  from ax.modelbridge.discrete import _get_parameter_values, DiscreteModelBridge
  from ax.models.discrete_base import DiscreteModel
  from ax.utils.common.testutils import TestCase
label_desc: Use image node_id 3 for calling the DiscreteModelBridgeTest obj's underlying member method code with example usage: obj.test_predict(mock_init) without return types