How to use the diffcp.utils.least_squares_eq_scs_data function in diffcp

def test_solve_and_derivative(self):
        np.random.seed(0)
        m = 20
        n = 10

        A, b, c, cone_dims = utils.least_squares_eq_scs_data(m, n)
        for mode in ["lsqr", "dense"]:
            x, y, s, derivative, adjoint_derivative = cone_prog.solve_and_derivative(
                A, b, c, cone_dims, eps=1e-10, mode=mode, solver="SCS")

            dA = utils.get_random_like(
                A, lambda n: np.random.normal(0, 1e-6, size=n))
            db = np.random.normal(0, 1e-6, size=b.size)
            dc = np.random.normal(0, 1e-6, size=c.size)

            dx, dy, ds = derivative(dA, db, dc)

            x_pert, y_pert, s_pert, _, _ = cone_prog.solve_and_derivative(
                A + dA, b + db, c + dc, cone_dims, eps=1e-10, solver="SCS")

            np.testing.assert_allclose(x_pert - x, dx, atol=1e-8)
            np.testing.assert_allclose(y_pert - y, dy, atol=1e-8)

def test_threading(self):
        np.random.seed(0)
        m = 20
        n = 10
        As, bs, cs, cone_dicts = [], [], [], []
        results = []

        for _ in range(50):
            A, b, c, cone_dims = utils.least_squares_eq_scs_data(m, n)
            As += [A]
            bs += [b]
            cs += [c]
            cone_dicts += [cone_dims]
            results.append(cone_prog.solve_and_derivative(A, b, c, cone_dims))

        for n_jobs in [1, -1]:
            xs, ys, ss, _, DT_batch = cone_prog.solve_and_derivative_batch(
                As, bs, cs, cone_dicts, n_jobs_forward=n_jobs, n_jobs_backward=n_jobs)

            for i in range(50):
                np.testing.assert_allclose(results[i][0], xs[i])
                np.testing.assert_allclose(results[i][1], ys[i])
                np.testing.assert_allclose(results[i][2], ss[i])

            dAs, dbs, dcs = DT_batch(xs, ys, ss)

def test_warm_start(self):
        np.random.seed(0)
        m = 20
        n = 10
        A, b, c, cone_dims = utils.least_squares_eq_scs_data(m, n)
        x, y, s, _, _ = cone_prog.solve_and_derivative(
            A, b, c, cone_dims, eps=1e-11, solver="SCS")
        x_p, y_p, s_p, _, _ = cone_prog.solve_and_derivative(
            A, b, c, cone_dims, warm_start=(x, y, s), max_iters=1, solver="SCS")

        np.testing.assert_allclose(x, x_p, atol=1e-7)
        np.testing.assert_allclose(y, y_p, atol=1e-7)
        np.testing.assert_allclose(s, s_p, atol=1e-7)