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

    dim0_size = np.random.randint(2, adata.shape[0] - 1)
    dim1_size = np.random.randint(1, 99)
    orig_obsm_val = adata.obsm["o"].copy()
    subset_idx = np.random.choice(adata.obs_names, dim0_size, replace=False)

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

    subset = adata[subset_idx, :]
    subset_hash = joblib.hash(subset)
    with pytest.raises(ValueError):
        subset.obsm = dict(o=np.ones((dim0_size + 1, dim1_size)))
    with pytest.raises(ValueError):
        subset.varm = dict(o=np.ones((dim0_size - 1, dim1_size)))
    assert subset_hash == joblib.hash(subset)

    # Only modification have been made to a view
    assert init_hash == joblib.hash(adata)
def loss_density(isa, subreg=[], ax=0):
    """plot loss density of NC/I7/ISA7 model
    Args:
      isa: Isa7/NC object
    """
    if subreg:
        if isinstance(subreg, list):
            sr = subreg
        else:
            sr = [subreg]
        elements = [e for s in sr for sre in isa.get_subregion(s).elements()
                    for e in sre]
    else:
        elements = [e for e in isa.elements]

    lossd = np.array([e.loss_density*1e-3 for e in elements])
    _contour(ax, 'Loss Density kW/m³', elements, lossd)