
import pylibxc
import pytest
from pylibxc.example_densities import test_data


def test_mgga_c_cs_N_restr_1_zk():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_exc:
        pytest.skip("build lacks the derivative order for zk")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=False, do_fxc=False, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["zk"])
    tgt = out["zk"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([1.782762773744425e-02, 9.698184540419224e-06, -1.226527428796265e-02, -2.063061126658033e-02, -2.618932845803795e-02, -2.965335257888391e-02, -3.142486843472730e-02, -3.164964269796508e-02, -3.048953746513601e-02, -3.112913913618342e-02, -5.911767082228876e-02, -7.011728166197533e-02, -3.606686686395433e-02, -2.966845368872689e-02, -2.448518941638249e-02, -1.727970681250155e-02, -9.850390503338489e-03, -4.095137243067487e-03, -9.108326858682761e-04, -1.023961420889946e-04]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-08


def test_mgga_c_cs_N_restr_1_vrho():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_vxc:
        pytest.skip("build lacks the derivative order for vrho")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=False, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["vrho"])
    tgt = out["vrho"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([-9.674023264959306e-02, -8.570445266907747e-02, -7.831155036008131e-02, -7.360391020190919e-02, -7.102021561024470e-02, -7.037078503306757e-02, -7.193721493769031e-02, -7.681717605204375e-02, -8.762277295839609e-02, -1.064240553941712e-01, -9.413848560295661e-02, -3.057371838988156e-02, -3.936333267452249e-02, -4.429374570107675e-02, -4.797198990775713e-02, -4.794291991446566e-02, -2.930766653823721e-02, -5.574558542919395e-03, -1.208820589551078e-03, -1.364571241821358e-04]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_vsigma():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_vxc:
        pytest.skip("build lacks the derivative order for vsigma")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=False, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["vsigma"])
    tgt = out["vsigma"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([2.567972748739648e-07, 2.837782765236553e-07, 3.275547672732404e-07, 4.024182087179297e-07, 5.404800202949144e-07, 8.241623373970197e-07, 1.504455193120967e-06, 3.536465653233226e-06, 1.178337088467462e-05, 6.145908892596953e-05, 4.570244236110873e-04, 1.901055833682027e-03, 3.455686043741388e-03, 8.788584598352179e-03, 4.233153260486043e-02, 3.494895786457888e-01, 2.899997068537701e+00, 1.448930360920294e+00, 4.795093470231876e-11, 1.387529166737366e-141]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_vlapl():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_vxc:
        pytest.skip("build lacks the derivative order for vlapl")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=False, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["vlapl"])
    tgt = out["vlapl"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([-2.299448531312383e-05, -2.390147654236291e-05, -2.526566087702887e-05, -2.735743369628598e-05, -3.065405884285579e-05, -3.605532963719925e-05, -4.540111287255799e-05, -6.283678391839188e-05, -9.875442488606945e-05, -1.811422973406762e-04, -3.671218095369101e-04, -5.886931320484580e-04, -7.104446741615951e-04, -9.385830670158357e-04, -1.418072960523074e-03, -2.034251345421771e-03, -1.423970151977079e-03, -2.331700094477457e-05, -6.847779432767724e-18, -2.678484496073353e-151]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_vtau():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_vxc:
        pytest.skip("build lacks the derivative order for vtau")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=False, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["vtau"])
    tgt = out["vtau"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([-1.839558825049906e-04, -1.912118123389033e-04, -2.021252870162310e-04, -2.188594695702878e-04, -2.452324707428464e-04, -2.884426370975940e-04, -3.632089029804639e-04, -5.026942713471350e-04, -7.900353990885556e-04, -1.449138378725410e-03, -2.936974476295281e-03, -4.709545056387664e-03, -5.683557393292761e-03, -7.508664536126686e-03, -1.134458368418459e-02, -1.627401076337417e-02, -1.139176121581663e-02, -1.865360075581966e-04, -5.478223546214179e-17, -2.142787596858682e-150]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2rho2():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2rho2")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2rho2"])
    tgt = out["v2rho2"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([5.256909856930780e-04, 4.564307923746106e-04, 4.265895994046057e-04, 4.378215923470070e-04, 5.062050722970886e-04, 6.822735815554558e-04, 1.123791482927954e-03, 2.412225007261989e-03, 7.286917561289557e-03, 3.160157840801003e-02, 1.103088332814945e-01, 1.302502217640230e-03, 1.323300424832951e-02, 1.033834322208079e-01, 6.056956191887336e-01, 4.222888958409834e+00, 1.422091012817996e+01, -6.836507986810716e+01, -1.378206527023211e+03, -1.175077579757398e+05]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2rhosigma():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2rhosigma")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2rhosigma"])
    tgt = out["v2rhosigma"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([-2.340530628427498e-09, -2.748579365660937e-09, -3.462130436951345e-09, -4.821556397580092e-09, -7.751356975577922e-09, -1.529111249620062e-08, -4.032883856663694e-08, -1.601216245191010e-07, -1.120344906659151e-06, -1.632681150834939e-05, -4.318421519423312e-04, -4.514594134390368e-03, -1.215824629096441e-02, -5.771001372942755e-02, -8.243643884504953e-01, -3.278436036189189e+01, -1.647120829495884e+03, 5.821800190696876e+04, 1.927570719302864e-03, 4.119343131461530e-130]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2rholapl():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2rholapl")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2rholapl"])
    tgt = out["v2rholapl"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([8.118028892314697e-08, 8.961239186918426e-08, 1.032711293806977e-07, 1.265728066036138e-07, 1.693887345223152e-07, 2.568721145967231e-07, 4.648070882576987e-07, 1.076847235555019e-06, 3.497734445570828e-06, 1.739150966512027e-05, 1.183810045410144e-04, 4.474902338170461e-04, 7.717362845898927e-04, 1.768889163951423e-03, 6.449790634564873e-03, 1.608101278940098e-02, -6.412215450270853e-01, -1.661341956653501e+00, -2.992480810924958e-10, -8.021351073450976e-140]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2rhotau():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2rhotau")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2rhotau"])
    tgt = out["v2rhotau"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([6.494423113851758e-07, 7.168991349534741e-07, 8.261690350455812e-07, 1.012582452828910e-06, 1.355109876178522e-06, 2.054976916773785e-06, 3.718456706061590e-06, 8.614777884440150e-06, 2.798187556456662e-05, 1.391320773209622e-04, 9.470480363281154e-04, 3.579921870536368e-03, 6.173890276719142e-03, 1.415111331161138e-02, 5.159832507651899e-02, 1.286481023152079e-01, -5.129772360216682e+00, -1.329073565322801e+01, -2.393984648739966e-09, -6.417080858760781e-139]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2sigma2():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2sigma2")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2sigma2"])
    tgt = out["v2sigma2"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2sigmalapl():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2sigmalapl")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2sigmalapl"])
    tgt = out["v2sigmalapl"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2sigmatau():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2sigmatau")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2sigmatau"])
    tgt = out["v2sigmatau"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2lapl2():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2lapl2")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2lapl2"])
    tgt = out["v2lapl2"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2lapltau():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2lapltau")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2lapltau"])
    tgt = out["v2lapltau"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05


def test_mgga_c_cs_N_restr_1_v2tau2():
    # Prepare the input
    inp = test_data["N_restr"]

    # Get the functional
    feval = pylibxc.LibXCFunctional("mgga_c_cs", 1)
    if not feval._have_fxc:
        pytest.skip("build lacks the derivative order for v2tau2")

    # Evaluate only up to the tested field's derivative order. Computing higher
    # orders than this test checks is wasteful and can trip a latent bug in an
    # order the test does not exercise (e.g. an fxc segfault under a vrho test).
    out = feval.compute(inp, do_exc=feval._have_exc, do_vxc=feval._have_vxc, do_fxc=feval._have_fxc, do_kxc=False, do_lxc=False)
    ns = pylibxc.array_backend.array_namespace(out["v2tau2"])
    tgt = out["v2tau2"].flatten()
    ref_tgt = ns.full_like(tgt, ns.asarray([0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00, 0.000000000000000e+00]))
    error = ns.max(ns.abs(tgt-ref_tgt))/(1.0+ns.max(ns.asarray([ns.abs(tgt), ns.abs(ref_tgt)])))
    assert error < 5e-05
