def test_warm():
data, cone, true_x = ex.simple_pcp()
# computing a fresh solution takes some number of iters
sol = scs.solve(data, cone)
assert sol['info']['iter'] >= 10
# should take 0 iterations
sol = scs.solve(data, cone, warm_start=sol)
assert sol['info']['iter'] == 0
# change solution a bit
sol['x'] *= 2
# perturbing the solution should take a few iterations to correct
sol = scs.solve(data, cone, warm_start=sol)
assert sol['info']['iter'] >= 3
def test_warm():
data, cone, true_x = ex.simple_pcp()
# computing a fresh solution takes some number of iters
sol = scs.solve(data, cone)
assert sol['info']['iter'] >= 10
# should take 0 iterations
sol = scs.solve(data, cone, warm_start = sol)
assert sol['info']['iter'] == 0
# change solution a bit
sol['x'] *= 2
# perturbing the solution should take a few iterations to correct
sol = scs.solve(data, cone, warm_start = sol)
assert sol['info']['iter'] >= 3
def test_simple_pcp():
data, cone, true_x = ex.simple_pcp()
sol = scs.solve(data, cone, eps=1e-6)
assert np.allclose(sol['x'], true_x)