def test_xys(): data, cone = ex.simple_lp() m,n = data['A'].shape work = scs.Workspace(data, cone) with pytest.raises(ValueError): ws = dict(x=np.ones(n+1), y=np.ones(m), s=np.ones(m)) work.solve(warm_start = ws) with pytest.raises(ValueError): ws = dict(x=np.ones(n), y=np.ones(m+1), s=np.ones(m)) work.solve(warm_start = ws) with pytest.raises(ValueError): ws = dict(x=np.ones(n), y=np.ones(m), s=np.ones(m+1)) work.solve(warm_start = ws) ws = dict(x=np.ones(n), y=np.ones(m), s=np.ones(m)) work.solve(warm_start = ws) # no value error because we copy the values to an existing float64 numpy array ws = dict(x=np.ones(n,dtype=np.float32), y=np.ones(m), s=np.ones(m)) work.solve(warm_start = ws) # no value error because we copy the list values to an existing float64 array ws = dict(x=[1]*n, y=np.ones(m), s=np.ones(m)) work.solve(warm_start = ws)
def test_xys(): data, cone = ex.simple_lp() m, n = data['A'].shape work = scs.Workspace(data, cone) with pytest.raises(ValueError): ws = dict(x=np.ones(n + 1), y=np.ones(m), s=np.ones(m)) work.solve(warm_start=ws) with pytest.raises(ValueError): ws = dict(x=np.ones(n), y=np.ones(m + 1), s=np.ones(m)) work.solve(warm_start=ws) with pytest.raises(ValueError): ws = dict(x=np.ones(n), y=np.ones(m), s=np.ones(m + 1)) work.solve(warm_start=ws) ws = dict(x=np.ones(n), y=np.ones(m), s=np.ones(m)) work.solve(warm_start=ws) # no value error because we copy the values to an existing float64 numpy array ws = dict(x=np.ones(n, dtype=np.float32), y=np.ones(m), s=np.ones(m)) work.solve(warm_start=ws) # no value error because we copy the list values to an existing float64 array ws = dict(x=[1] * n, y=np.ones(m), s=np.ones(m)) work.solve(warm_start=ws)
def test_b_len(): data, cone = ex.simple_lp() b = data['b'] b = np.append(b,b) data['b'] = b with pytest.raises(ValueError): sol = scs.solve(data, cone)
def test_b_len(): data, cone = ex.simple_lp() b = data['b'] b = np.append(b, b) data['b'] = b with pytest.raises(ValueError): sol = scs.solve(data, cone)
def test_numdim_b(): data, cone = ex.simple_lp() b = data['b'] b = np.array(b, ndmin=2).T data['b'] = b with pytest.raises(ValueError): sol = scs.solve(data, cone)
def test_cone_size(): # test that the solve method recognizes that the length of the cone # does not match the number of rows of A data, cone = ex.simple_lp() cone['l'] = 5 with pytest.raises(ValueError): sol = scs.solve(data, cone)
def test_c_len_workspace2(): data, cone = ex.simple_lp() work = scs.Workspace(data, cone) c = data['c'] c = np.append(c, c) data['c'] = c with pytest.raises(ValueError): work.solve(new_bc=data)
def test_c_len_workspace2(): data, cone = ex.simple_lp() work = scs.Workspace(data, cone) c = data['c'] c = np.append(c,c) data['c'] = c with pytest.raises(ValueError): work.solve(new_bc = data)
def test_b_len_workspace2(): data, cone = ex.simple_lp() work = scs.Workspace(data, cone) b = data['b'] b = np.append(b, b) data['b'] = b with pytest.raises(ValueError): work.solve(new_bc=data)
def test_b_len_workspace2(): data, cone = ex.simple_lp() work = scs.Workspace(data, cone) b = data['b'] b = np.append(b,b) data['b'] = b with pytest.raises(ValueError): work.solve(new_bc = data)
def test_solve(): data, cone = ex.simple_lp() m, n = data['A'].shape ws = dict(x=np.zeros(n), y=np.zeros(m), s=np.zeros(m)) sol = scs.solve(data, cone, warm_start=ws) # make sure sol and ws contain *different* numpy arrays assert any(ws['x'] != sol['x']) assert any(ws['y'] != sol['y']) assert any(ws['s'] != sol['s'])
def test_solve(): data, cone = ex.simple_lp() m,n = data['A'].shape ws = dict(x=np.zeros(n), y=np.zeros(m), s=np.zeros(m)) sol = scs.solve(data, cone, warm_start = ws) # make sure sol and ws contain *different* numpy arrays assert any(ws['x'] != sol['x']) assert any(ws['y'] != sol['y']) assert any(ws['s'] != sol['s'])
def test_b_len_workspace(): data, cone = ex.simple_lp() work = scs.Workspace(data, cone) b = data['b'] b = np.append(b, b) # should go without error work.solve() # also should go on without error data['b'] = b work.solve() with pytest.raises(ValueError): work.data['b'] = b work.solve()
def test_c_len_workspace(): data, cone = ex.simple_lp() work = scs.Workspace(data, cone) c = data['c'] c = np.append(c, c) # should go without error work.solve() # also should go on without error data['c'] = c work.solve() with pytest.raises(ValueError): work.data['c'] = c work.solve()
def test_c_len_workspace(): data, cone = ex.simple_lp() work = scs.Workspace(data, cone) c = data['c'] c = np.append(c,c) # should go without error work.solve() # also should go on without error data['c'] = c work.solve() with pytest.raises(ValueError): work.data['c'] = c work.solve()
def test_b_len_workspace(): data, cone = ex.simple_lp() work = scs.Workspace(data, cone) b = data['b'] b = np.append(b,b) # should go without error work.solve() # also should go on without error data['b'] = b work.solve() with pytest.raises(ValueError): work.data['b'] = b work.solve()
def test_A_indptr(): data, cone = ex.simple_lp() data['A'].indptr = data['A'].indptr.astype(np.int32) with pytest.warns(UserWarning): sol = scs.solve(data, cone)
def test_simple_lp(): data, cone = ex.simple_lp() sol = scs.solve(data, cone)
def test_str_output(): data, cone = ex.simple_lp() sol = scs.solve(data, cone) assert sol['info']['status'] == 'Solved'
def test_A_data(): data, cone = ex.simple_lp() data['A'].data = data['A'].data.astype(np.float32) with pytest.warns(UserWarning): sol = scs.solve(data, cone)
def test_simple_direct(): data, cone = ex.simple_lp() sol = scs.solve(data, cone, use_indirect=False)
def test_extra_arg(): data, cone = ex.simple_lp() sol = scs.solve(data, cone, eps=1e-9, alpha=.1, nonsense_arg='nonsense')
def test_b(): data, cone = ex.simple_lp() data['b'] = data['b'].astype(np.float32) with pytest.raises(ValueError): sol = scs.solve(data, cone)