def test_js_compile(): search_space = search.SearchSpace(n_agents=10, n_variables=2, lower_bound=[0, 0], upper_bound=[10, 10]) new_js = js.JS() new_js.compile(search_space)
def test_js_initialize_chaotic_map(): search_space = search.SearchSpace(n_agents=10, n_variables=2, lower_bound=[0, 0], upper_bound=[10, 10]) new_js = js.JS() new_js._initialize_chaotic_map(search_space.agents)
def test_js_params(): params = {'eta': 4.0, 'beta': 3.0, 'gamma': 0.1} new_js = js.JS(params=params) assert new_js.eta == 4.0 assert new_js.beta == 3.0 assert new_js.gamma == 0.1
def test_js_hyperparams(): hyperparams = {'eta': 4.0, 'beta': 3.0, 'gamma': 0.1} new_js = js.JS(hyperparams=hyperparams) assert new_js.eta == 4.0 assert new_js.beta == 3.0 assert new_js.gamma == 0.1
def test_js_motion_a(): search_space = search.SearchSpace(n_agents=10, n_variables=2, lower_bound=[0, 0], upper_bound=[10, 10]) new_js = js.JS() new_js.compile(search_space) motion = new_js._motion_a(0, 1) assert motion[0] != 0
def test_js_ocean_current(): search_space = search.SearchSpace(n_agents=10, n_variables=2, lower_bound=[0, 0], upper_bound=[10, 10]) new_js = js.JS() new_js.compile(search_space) trend = new_js._ocean_current(search_space.agents, search_space.best_agent) assert trend[0][0] != 0
def test_js_params_setter(): new_js = js.JS() try: new_js.eta = 'a' except: new_js.eta = 4.0 try: new_js.eta = -1 except: new_js.eta = 4.0 assert new_js.eta == 4.0 try: new_js.beta = 'b' except: new_js.beta = 2.0 try: new_js.beta = 0 except: new_js.beta = 3.0 assert new_js.beta == 3.0 try: new_js.gamma = 'c' except: new_js.gamma = 0.1 try: new_js.gamma = -1 except: new_js.gamma = 0.1 assert new_js.gamma == 0.1
def test_js_run(): def square(x): return np.sum(x**2) def hook(optimizer, space, function): return new_function = function.Function(pointer=square) new_js = js.JS() search_space = search.SearchSpace(n_agents=10, n_iterations=100, n_variables=2, lower_bound=[0, 0], upper_bound=[10, 10]) history = new_js.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 js failed to converge.'
def test_js_build(): new_js = js.JS() assert new_js.built == True