def test_efo_calculate_indexes(): new_efo = efo.EFO() a, b, c = new_efo._calculate_indexes(30) assert a >= 0 assert b >= 0 assert c >= 0
def test_efo_update(): def square(x): return np.sum(x**2) new_efo = efo.EFO() search_space = search.SearchSpace(n_agents=2, n_variables=2, lower_bound=[1, 1], upper_bound=[10, 10]) new_efo.update(search_space, square)
def test_efo_hyperparams_setter(): new_efo = efo.EFO() try: new_efo.positive_field = 'a' except: new_efo.positive_field = 0.5 try: new_efo.positive_field = -1 except: new_efo.positive_field = 0.5 assert new_efo.positive_field == 0.5 try: new_efo.negative_field = 'b' except: new_efo.negative_field = 0.2 try: new_efo.negative_field = 0.99 except: new_efo.negative_field = 0.2 try: new_efo.negative_field = -1 except: new_efo.negative_field = 0.2 assert new_efo.negative_field == 0.2 try: new_efo.ps_ratio = 'c' except: new_efo.ps_ratio = 0.25 try: new_efo.ps_ratio = -1 except: new_efo.ps_ratio = 0.25 assert new_efo.ps_ratio == 0.25 try: new_efo.r_ratio = 'd' except: new_efo.r_ratio = 0.25 try: new_efo.r_ratio = -1 except: new_efo.r_ratio = 0.25 assert new_efo.r_ratio == 0.25
def test_efo_update(): def square(x): return np.sum(x**2) new_function = function.Function(pointer=square) new_efo = efo.EFO() search_space = search.SearchSpace(n_agents=2, n_iterations=10, n_variables=2, lower_bound=[1, 1], upper_bound=[10, 10]) new_efo._update(search_space.agents, new_function, 1, 1) assert search_space.agents[0].position[0] != 0
def test_efo_hyperparams(): hyperparams = { 'positive_field': 0.1, 'negative_field': 0.5, 'ps_ratio': 0.1, 'r_ratio': 0.4 } new_efo = efo.EFO(hyperparams=hyperparams) assert new_efo.positive_field == 0.1 assert new_efo.negative_field == 0.5 assert new_efo.ps_ratio == 0.1 assert new_efo.r_ratio == 0.4
def test_efo_params(): params = { "positive_field": 0.1, "negative_field": 0.5, "ps_ratio": 0.1, "r_ratio": 0.4, } new_efo = efo.EFO(params=params) assert new_efo.positive_field == 0.1 assert new_efo.negative_field == 0.5 assert new_efo.ps_ratio == 0.1 assert new_efo.r_ratio == 0.4 assert new_efo.phi == (1 + np.sqrt(5)) / 2 assert new_efo.RI == 0
def test_efo_params(): params = { 'positive_field': 0.1, 'negative_field': 0.5, 'ps_ratio': 0.1, 'r_ratio': 0.4 } new_efo = efo.EFO(params=params) assert new_efo.positive_field == 0.1 assert new_efo.negative_field == 0.5 assert new_efo.ps_ratio == 0.1 assert new_efo.r_ratio == 0.4 assert new_efo.phi == (1 + np.sqrt(5)) / 2 assert new_efo.RI == 0
def test_efo_run(): def square(x): return np.sum(x**2) def hook(optimizer, space, function): return new_function = function.Function(pointer=square) new_efo = efo.EFO() search_space = search.SearchSpace(n_agents=10, n_iterations=30, n_variables=2, lower_bound=[0, 0], upper_bound=[10, 10]) history = new_efo.run(search_space, new_function, pre_evaluation=hook) assert len(history.agents) > 0 assert len(history.best_agent) > 0 best_fitness = history.best_agent[-1][1] assert best_fitness <= constants.TEST_EPSILON, 'The algorithm efo failed to converge.'
def test_efo_build(): new_efo = efo.EFO() assert new_efo.built == True
def test_efo_params_setter(): new_efo = efo.EFO() try: new_efo.positive_field = "a" except: new_efo.positive_field = 0.5 try: new_efo.positive_field = -1 except: new_efo.positive_field = 0.5 assert new_efo.positive_field == 0.5 try: new_efo.negative_field = "b" except: new_efo.negative_field = 0.2 try: new_efo.negative_field = 0.99 except: new_efo.negative_field = 0.2 try: new_efo.negative_field = -1 except: new_efo.negative_field = 0.2 assert new_efo.negative_field == 0.2 try: new_efo.ps_ratio = "c" except: new_efo.ps_ratio = 0.25 try: new_efo.ps_ratio = -1 except: new_efo.ps_ratio = 0.25 assert new_efo.ps_ratio == 0.25 try: new_efo.r_ratio = "d" except: new_efo.r_ratio = 0.25 try: new_efo.r_ratio = -1 except: new_efo.r_ratio = 0.25 assert new_efo.r_ratio == 0.25 try: new_efo.phi = "e" except: new_efo.phi = (1 + np.sqrt(5)) / 2 assert new_efo.phi == (1 + np.sqrt(5)) / 2 try: new_efo.RI = "f" except: new_efo.RI = 0 try: new_efo.RI = -1 except: new_efo.RI = 0 assert new_efo.RI == 0
def test_efo_params_setter(): new_efo = efo.EFO() try: new_efo.positive_field = 'a' except: new_efo.positive_field = 0.5 try: new_efo.positive_field = -1 except: new_efo.positive_field = 0.5 assert new_efo.positive_field == 0.5 try: new_efo.negative_field = 'b' except: new_efo.negative_field = 0.2 try: new_efo.negative_field = 0.99 except: new_efo.negative_field = 0.2 try: new_efo.negative_field = -1 except: new_efo.negative_field = 0.2 assert new_efo.negative_field == 0.2 try: new_efo.ps_ratio = 'c' except: new_efo.ps_ratio = 0.25 try: new_efo.ps_ratio = -1 except: new_efo.ps_ratio = 0.25 assert new_efo.ps_ratio == 0.25 try: new_efo.r_ratio = 'd' except: new_efo.r_ratio = 0.25 try: new_efo.r_ratio = -1 except: new_efo.r_ratio = 0.25 assert new_efo.r_ratio == 0.25 try: new_efo.phi = 'e' except: new_efo.phi = (1 + np.sqrt(5)) / 2 assert new_efo.phi == (1 + np.sqrt(5)) / 2 try: new_efo.RI = 'f' except: new_efo.RI = 0 try: new_efo.RI = -1 except: new_efo.RI = 0 assert new_efo.RI == 0