def param_rischDE(fa, fd, G, DE):
    _, (fa, fd) = weak_normalizer(fa, fd, DE)
    a, (ba, bd), G, hn = prde_normal_denom(ga, gd, G, DE)
    A, B, G, hs = prde_special_denom(a, ba, bd, G, DE)
    g = gcd(A, B)
    A, B, G = A.quo(g), B.quo(g), [gia.cancel(gid*g, include=True) for
        gia, gid in G]
    Q, M = prde_linear_constraints(A, B, G, DE)
    M, _ = constant_system(M, zeros(M.rows, 1), DE)
    # Reduce number of constants at this point
    try:
        # Similar to rischDE(), we try oo, even though it might lead to
        # non-termination when there is no solution.  At least for prde_spde,
        # it will always terminate no matter what n is.
        n = bound_degree(A, B, G, DE, parametric=True)
    except NotImplementedError:
        debug("param_rischDE: Proceeding with n = oo; may cause "
              "non-termination.")
        n = oo

    A, B, Q, R, n1 = prde_spde(A, B, Q, n, DE)
Filter the provided parameters dict and return a list of parameter names which are marked as
dataset/ETHPy150Open sympy/sympy/sympy/integrals/prde.py/param_rischDE--crossover with--dataset/ETHPy150Open StackStorm/st2/st2common/st2common/util/secrets.py/get_secret_parameters