Code Duplication - SimonBlanke/Gradient-Free-Optimizers - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 18-20 lines in 2 locations

tests/test_optimizers/test_multiple_searches.py 2 locations


    assert opt.n_iter_search == 0


@pytest.mark.parametrize(*optimizers_singleOpt)
def test_searches_1(Optimizer):
    initialize = {"warm_start": [{"x1": -100}]}

    opt = Optimizer(search_space, initialize=initialize)
    opt.search(objective_function, n_iter=1)

    print("\n opt.search_data \n", opt.search_data)

    opt.search(objective_function, n_iter=10)

    print("\n opt.search_data \n", opt.search_data)

    assert -100 in opt.search_data["x1"].values
    assert len(opt.search_data["x1"]) == 11

    assert opt.n_init_total == 1
    assert opt.n_iter_total == 10
    assert opt.n_init_search == 0
    assert opt.n_iter_search == 10


@pytest.mark.parametrize(*optimizers_PopBased)

    assert opt.n_iter_search == 1


@pytest.mark.parametrize(*optimizers_PopBased)
def test_searches_pop_0(Optimizer):

    initialize = {"warm_start": [{"x1": -100}]}

    opt = Optimizer(search_space, initialize=initialize)
    opt.search(objective_function, n_iter=1)
    opt.search(objective_function, n_iter=1)

    print("\n opt.search_data \n", opt.search_data)

    assert -100 in opt.search_data["x1"].values
    assert len(opt.search_data["x1"]) == 2

    assert opt.n_init_total == 2
    assert opt.n_iter_total == 0
    assert opt.n_init_search == 1
    assert opt.n_iter_search == 0


@pytest.mark.parametrize(*optimizers_singleOpt)

		@@ 53-72 (lines=20) @@
50		assert opt.n_iter_search == 0
51
52
53		@pytest.mark.parametrize(*optimizers_singleOpt)
54		def test_searches_1(Optimizer):
55		initialize = {"warm_start": [{"x1": -100}]}
56
57		opt = Optimizer(search_space, initialize=initialize)
58		opt.search(objective_function, n_iter=1)
59
60		print("\n opt.search_data \n", opt.search_data)
61
62		opt.search(objective_function, n_iter=10)
63
64		print("\n opt.search_data \n", opt.search_data)
65
66		assert -100 in opt.search_data["x1"].values
67		assert len(opt.search_data["x1"]) == 11
68
69		assert opt.n_init_total == 1
70		assert opt.n_iter_total == 10
71		assert opt.n_init_search == 0
72		assert opt.n_iter_search == 10
73
74
75		@pytest.mark.parametrize(*optimizers_PopBased)
		@@ 33-50 (lines=18) @@
30		assert opt.n_iter_search == 1
31
32
33		@pytest.mark.parametrize(*optimizers_PopBased)
34		def test_searches_pop_0(Optimizer):
35
36		initialize = {"warm_start": [{"x1": -100}]}
37
38		opt = Optimizer(search_space, initialize=initialize)
39		opt.search(objective_function, n_iter=1)
40		opt.search(objective_function, n_iter=1)
41
42		print("\n opt.search_data \n", opt.search_data)
43
44		assert -100 in opt.search_data["x1"].values
45		assert len(opt.search_data["x1"]) == 2
46
47		assert opt.n_init_total == 2
48		assert opt.n_iter_total == 0
49		assert opt.n_init_search == 1
50		assert opt.n_iter_search == 0
51
52
53		@pytest.mark.parametrize(*optimizers_singleOpt)

SimonBlanke / Gradient-Free-Optimizers

Code Duplication Length = 18-20 lines in 2 locations

tests/test_optimizers/test_multiple_searches.py 2 locations