Coverage for mlos_bench/mlos_bench/tests/tunables/tunables_copy_test.py: 93%

1# 

2# Copyright (c) Microsoft Corporation. 

3# Licensed under the MIT License. 

4# 

5"""Unit tests for deep copy of tunable objects and groups.""" 

6 

7from mlos_bench.tunables.covariant_group import CovariantTunableGroup 

8from mlos_bench.tunables.tunable import Tunable, TunableValue 

9from mlos_bench.tunables.tunable_groups import TunableGroups 

10 

11 

12def test_copy_tunable_int(tunable_int: Tunable) -> None: 

13 """Check if deep copy works for Tunable object.""" 

14 tunable_copy = tunable_int.copy() 

15 assert tunable_int == tunable_copy 

16 tunable_copy.numerical_value += 200 

17 assert tunable_int != tunable_copy 

18 

19 

20def test_copy_tunable_groups(tunable_groups: TunableGroups) -> None: 

21 """Check if deep copy works for TunableGroups object.""" 

22 tunable_groups_copy = tunable_groups.copy() 

23 assert tunable_groups == tunable_groups_copy 

24 tunable_groups_copy["vmSize"] = "Standard_B2ms" 

25 assert tunable_groups_copy.is_updated() 

26 assert not tunable_groups.is_updated() 

27 assert tunable_groups != tunable_groups_copy 

28 

29 

30def test_copy_covariant_group(covariant_group: CovariantTunableGroup) -> None: 

31 """Check if deep copy works for TunableGroups object.""" 

32 covariant_group_copy = covariant_group.copy() 

33 assert covariant_group == covariant_group_copy 

34 tunable = next(iter(covariant_group.get_tunables())) 

35 new_value: TunableValue 

36 if tunable.is_categorical: 

37 new_value = [x for x in tunable.categories if x != tunable.category][0] 

38 elif tunable.is_numerical: 

39 new_value = tunable.numerical_value + 1 

40 covariant_group_copy[tunable] = new_value 

41 assert covariant_group_copy.is_updated() 

42 assert not covariant_group.is_updated() 

43 assert covariant_group != covariant_group_copy