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 airgap(airgap, ax=0):
    """creates plot of flux density in airgap"""
    if ax == 0:
        ax = plt.gca()
    ax.set_title('Airgap Flux Density [T]')
    ax.plot(airgap['pos'], airgap['B'],
            label='Max {:4.2f} T'.format(max(airgap['B'])))
    ax.plot(airgap['pos'], airgap['B_fft'],
            label='Base Ampl {:4.2f} T'.format(airgap['Bamp']))
    ax.set_xlabel('Position/°')
    ax.legend()
    ax.grid(True)