def test_set_varm(adata):
    init_hash = joblib.hash(adata)

    dim0_size = np.random.randint(2, adata.shape[1] - 1)
    dim1_size = np.random.randint(1, 99)
    orig_varm_val = adata.varm["o"].copy()
    subset_idx = np.random.choice(adata.var_names, dim0_size, replace=False)

    subset = adata[:, subset_idx]
    assert subset.is_view
    subset.varm = dict(o=np.ones((dim0_size, dim1_size)))
    assert not subset.is_view
    assert np.all(orig_varm_val == adata.varm["o"])  # Checking for mutation
    assert np.all(subset.varm["o"] == np.ones((dim0_size, dim1_size)))

    subset = adata[:, subset_idx]
    subset_hash = joblib.hash(subset)
    with pytest.raises(ValueError):
        subset.varm = dict(o=np.ones((dim0_size + 1, dim1_size)))
    with pytest.raises(ValueError):
        subset.varm = dict(o=np.ones((dim0_size - 1, dim1_size)))
    # subset should not be changed by failed setting
    assert subset_hash == joblib.hash(subset)
    assert init_hash == joblib.hash(adata)
def transientsc(bch, title=''):
    """creates a transient short circuit plot"""
    cols = 1
    rows = 2
    htitle = 1.5 if title else 0
    fig, ax = plt.subplots(nrows=rows, ncols=cols,
                           figsize=(10, 3*rows + htitle))
    if title:
        fig.suptitle(title, fontsize=16)

    row = 1
    plt.subplot(rows, cols, row)
    ax = plt.gca()
    ax.set_title('Currents / A')
    ax.grid(True)
    for i in ('ia', 'ib', 'ic'):
        ax.plot(bch.scData['time'], bch.scData[i], label=i)
    ax.set_xlabel('Time / s')
    ax.legend()

    row = 2
    plt.subplot(rows, cols, row)
    ax = plt.gca()
    ax.set_title('Torque / Nm')
    ax.grid(True)
    ax.plot(bch.scData['time'], bch.scData['torque'])
    ax.set_xlabel('Time / s')

    fig.tight_layout(h_pad=2)
    if title:
        fig.subplots_adjust(top=0.92)