def test_data_keys():
data, cone, _ = ex.simple_socp()
work = scs.Workspace(data, cone)
assert 'A' not in work.data
assert set(work.data.keys()) == set(['b','c'])
def test_settings_change():
data, cone, _ = ex.simple_socp()
work = scs.Workspace(data, cone)
assert work.settings['eps'] == 1e-3
work.solve(eps=1e-6)
assert work.settings['eps'] == 1e-6
def test_fixed_settings():
data, cone, _ = ex.simple_socp()
work = scs.Workspace(data, cone)
expected_fixed = set(['normalize', 'use_indirect', 'scale', 'rho_x'])
assert set(work.fixed.keys()) == expected_fixed
with pytest.raises(Exception):
work.settings['rho_x'] = 3.14159
# should raise an exception because we changed a fixed setting
work.solve()
def test_settings():
expected_keys = set(['normalize', 'use_indirect', 'scale', 'verbose',
'eps', 'cg_rate', 'max_iters', 'alpha', 'rho_x'])
data, cone, _ = ex.simple_socp()
work = scs.Workspace(data, cone)
assert 'warm_start' not in work.settings
assert set(work.settings.keys()) == expected_keys
work.solve()
assert 'warm_start' not in work.settings
assert set(work.settings.keys()) == expected_keys
def test_warm_start():
# if warm-starting, the input warm-start vector should not be modified
data, cone, true_x = ex.simple_socp()
work = scs.Workspace(data, cone)
sol = work.solve(eps=1e-2)
assert np.linalg.norm(sol['x'] - true_x) > 1e-3
sol2 = work.solve(warm_start=sol, eps=1e-9)
assert np.linalg.norm(sol2['x'] - true_x) <= 1e-9
assert np.linalg.norm(sol['x'] - sol2['x']) > 0
assert sol['x'] is not sol2['x']
def test_A():
data, cone, true_x = ex.simple_socp()
work = scs.Workspace(data, cone)
# corrupt the original data (but SCS should have made an internal copy, so this is ok)
data['A'][:] = 3
sol = work.solve(eps=1e-6)
assert np.allclose(sol['x'], true_x)
# now, solving on corrupted data shouldn't work
work = scs.Workspace(data, cone)
sol = work.solve(eps=1e-6)
assert not np.allclose(sol['x'], true_x)
def test_simple_socp():
data, cone, true_x = ex.simple_socp()
sol = scs.solve(data, cone, eps=1e-6)
assert np.allclose(sol['x'], true_x)