def test_set_subset_obsm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_obsm_val = adata.obsm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.obsm["o"].shape[0])), subset.obs_names
    )

    assert subset.is_view
    subset.obsm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.obsm["o"] == orig_obsm_val)

    assert init_hash == joblib.hash(adata)
def torque(pos, torque, ax=0):
    """creates plot from torque vs position"""
    k = 20
    alpha = np.linspace(pos[0], pos[-1],
                        k*len(torque))
    f = ip.interp1d(pos, torque, kind='quadratic')
    unit = 'Nm'
    scale = 1
    if np.min(torque) < -9.9e3 or np.max(torque) > 9.9e3:
        scale = 1e-3
        unit = 'kNm'
    if ax == 0:
        ax = plt.gca()
    ax.set_title('Torque / {}'.format(unit))
    ax.grid(True)
    ax.plot(pos, [scale*t for t in torque], 'go')
    ax.plot(alpha, scale*f(alpha))
    if np.min(torque) > 0 and np.max(torque) > 0:
        ax.set_ylim(bottom=0)
    elif np.min(torque) < 0 and np.max(torque) < 0:
        ax.set_ylim(top=0)