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

Gradient-Free-Optimizers

Code Duplication Length = 12-13 lines in 2 locations

tests/test_initializers.py 2 locations


    assert abs(opt.best_score) < 0.001


def test_initialize_grid_1():
    search_space = {
        "x1": np.arange(-2, 3, 1),
    }

    initialize = {"grid": 1}

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

    assert abs(opt.best_score) - 1 < 0.001


    assert abs(opt.best_score) - 10000 < 0.001


def test_initialize_grid_0():
    search_space = {
        "x1": np.arange(-1, 2, 1),
    }
    initialize = {"grid": 1}

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

    assert abs(opt.best_score) < 0.001


def test_initialize_grid_1():
    search_space = {
        "x1": np.arange(-2, 3, 1),

		@@ 83-95 (lines=13) @@
80		assert abs(opt.best_score) < 0.001
81
82
83		def test_initialize_grid_1():
84		search_space = {
85		"x1": np.arange(-2, 3, 1),
86		}
87
88		initialize = {"grid": 1}
89
90		opt = RandomSearchOptimizer(search_space, initialize=initialize)
91		opt.search(objective_function, n_iter=1)
92
93		assert abs(opt.best_score) - 1 < 0.001
94
		@@ 71-82 (lines=12) @@
68		assert abs(opt.best_score) - 10000 < 0.001
69
70
71		def test_initialize_grid_0():
72		search_space = {
73		"x1": np.arange(-1, 2, 1),
74		}
75		initialize = {"grid": 1}
76
77		opt = RandomSearchOptimizer(search_space, initialize=initialize)
78		opt.search(objective_function, n_iter=1)
79
80		assert abs(opt.best_score) < 0.001
81
82
83		def test_initialize_grid_1():
84		search_space = {
85		"x1": np.arange(-2, 3, 1),

SimonBlanke / Gradient-Free-Optimizers

Code Duplication Length = 12-13 lines in 2 locations

tests/test_initializers.py 2 locations