def test_view_of_view(matrix_type, subset_func, subset_func2):
    adata = gen_adata((30, 15), X_type=matrix_type)
    adata.raw = adata
    if subset_func is single_subset:
        pytest.xfail("Other subset generating functions have trouble with this")
    var_s1 = subset_func(adata.var_names, min_size=4)
    var_view1 = adata[:, var_s1]
    var_s2 = subset_func2(var_view1.var_names)
    var_view2 = var_view1[:, var_s2]
    assert var_view2._adata_ref is adata
    obs_s1 = subset_func(adata.obs_names, min_size=4)
    obs_view1 = adata[obs_s1, :]
    obs_s2 = subset_func2(obs_view1.obs_names)
    assert adata[obs_s1, :][:, var_s1][obs_s2, :]._adata_ref is adata

    view_of_actual_copy = adata[:, var_s1].copy()[obs_s1, :].copy()[:, var_s2].copy()

    view_of_view_copy = adata[:, var_s1][obs_s1, :][:, var_s2].copy()

    assert_equal(view_of_actual_copy, view_of_view_copy, exact=True)
def mtpa(pmrel, i1max, title='', projection='', ax=0):
    """create a line or surface plot with torque and mtpa curve"""
    nsamples = 10
    i1 = np.linspace(0, i1max, nsamples)
    iopt = np.array([pmrel.mtpa(x) for x in i1]).T

    iqmax, idmax = pmrel.iqdmax(i1max)
    iqmin, idmin = pmrel.iqdmin(i1max)

    if projection == '3d':
        nsamples = 50
    else:
        if iqmin == 0:
            iqmin = 0.1*iqmax
    id = np.linspace(idmin, idmax, nsamples)
    iq = np.linspace(iqmin, iqmax, nsamples)

    torque_iqd = np.array(
        [[pmrel.torque_iqd(x, y)
          for y in id] for x in iq])
    if projection == '3d':
        ax = idq_torque(id, iq, torque_iqd, ax)
        ax.plot(iopt[1], iopt[0], iopt[2],
                color='red', linewidth=2, label='MTPA: {0:5.0f} Nm'.format(
                    np.max(iopt[2][-1])))
    else:
        if ax == 0:
            ax = plt.gca()

        ax.set_aspect('equal')
        x, y = np.meshgrid(id, iq)
        CS = ax.contour(x, y, torque_iqd, 6, colors='k')
        ax.clabel(CS, fmt='%d', inline=1)

        ax.set_xlabel('Id/A')
        ax.set_ylabel('Iq/A')
        ax.plot(iopt[1], iopt[0],
                color='red', linewidth=2, label='MTPA: {0:5.0f} Nm'.format(
                    np.max(iopt[2][-1])))
        ax.grid()

    if title:
        ax.set_title(title)
    ax.legend()