def test_optimum_on_bounds(function, initial_point, bounds, actual, seed):
random.seed(seed)
np.random.seed(seed)
solver = RvfSolver(function, initial_point, bounds)
point, value = solver.anneal(max_steps=4000)
# tolerances
tol_point = 0.1
tol_value = 0.1
actual = np.array(actual)
assert abs(value - function(*actual)) < tol_value
assert helpers.distance(actual, point) < tol_point
def test_initialized_with_initial_point_out_of_bounds(function, point, bounds):
with pytest.raises(ValueError):
RvfSolver(function, point, bounds)
def test_initialized_with_wrong_shapes(function, point, bounds):
with pytest.raises(ValueError):
RvfSolver(function, point, bounds)
def test_initialized_with_bad_objective():
with pytest.raises(ValueError):
solver = RvfSolver(rvf_1_basic, [1], [[-1, 1]], objective="blah")
def test_initialized_with_bad_function(bad_value):
with pytest.raises(TypeError):
solver = RvfSolver(bad_value, [0, 0], [[-1, 1], [-1, 1]])
def test_initialized_with_bad_bounds(bad_value):
with pytest.raises(ValueError):
RvfSolver(rvf_1_basic, [1], bad_value)