code: def test_context_hadler(self):
      space = [
          {
              "name": "var1",
              "type": "continuous",
              "domain": (-3, 1),
              "dimensionality": 3,
          },
          {"name": "var2", "type": "discrete", "domain": (0, 1, 2, 3)},
          {"name": "var3", "type": "continuous", "domain": (-5, 5)},
          {"name": "var4", "type": "categorical", "domain": (0, 1)},
      ]
  
      context = {"var1_1": 0.45, "var3": 0.52}
  
      design_space = Design_space(space)
      np.random.seed(666)
  
      self.context_manager = ContextManager(
          space=design_space, context=context
      )
  
      noncontext_bounds = [(-3, 1), (-3, 1), (0, 3), (0, 1), (0, 1)]
      noncontext_index = [1, 2, 3, 5, 6]
      expanded_vector = np.array(
          [[0.45, 0.0, 0.0, 0.0, 0.52, 0.0, 0.0]]
      )
  
      assert np.all(
          noncontext_bounds == self.context_manager.noncontext_bounds
      )
      assert np.all(
          noncontext_index == self.context_manager.noncontext_index
      )
      assert np.all(
          expanded_vector
          == self.context_manager._expand_vector(
              np.array([[0, 0, 0, 0, 0]])
          )
      )
  
imports: import unittest
  import numpy
  from GPyOpt.core.task.space import Design_space
  from GPyOpt.experiment_design import initial_design
  from GPyOpt.optimization.acquisition_optimizer import ContextManager
label_desc: Use image node_id 1 for calling the TestContextManager obj's underlying member method code with example usage: obj.test_context_hadler() without return types