code: def test_multiple_params(monkeypatch, space):
      """Test computing for multiple param"""
      mock_train_regressor(monkeypatch)
  
      partial_dependencies = partial_dependency(
          data, space, params=["x", "y"], n_samples=10
      )
      assert set(partial_dependencies.keys()) == {"x", ("x", "y"), "y"}
      assert len(partial_dependencies["x"][0]["x"]) == 10
      assert len(partial_dependencies["y"][0]["y"]) == 10
      assert len(partial_dependencies[("x", "y")][0]["x"]) == 10
      assert len(partial_dependencies[("x", "y")][0]["y"]) == 10
      assert partial_dependencies["x"][1].shape == (10,)
      assert partial_dependencies["x"][2].shape == (10,)
      assert partial_dependencies["y"][1].shape == (10,)
      assert partial_dependencies["y"][2].shape == (10,)
      assert partial_dependencies[("x", "y")][1].shape == (10, 10)
      assert partial_dependencies[("x", "y")][2].shape == (10, 10)
  
imports: import copy
  import numpy
  import pandas
  import pytest
  from orion.analysis.partial_dependency_utils import make_grid, partial_dependency, partial_dependency_grid, reverse
  from orion.core.io.space_builder import SpaceBuilder
  from orion.core.utils import format_trials
  from orion.core.worker.transformer import build_required_space
label_desc: Use image node_id 13 for calling a global function with example usage: test_multiple_params(monkeypatch, space) without return types