def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
def forcedens_fft(title, fdens, ax=0):
    """plot force densities FFT
    Args:
      title: plot title
      fdens: force density object
    """
    if ax == 0:
        ax = plt.axes(projection="3d")

    F = 1e-3*fdens.fft()
    fmin = 0.2
    num_bars = F.shape[0] + 1
    _xx, _yy = np.meshgrid(np.arange(1, num_bars),
                           np.arange(1, num_bars))
    z_size = F[F > fmin]
    x_pos, y_pos = _xx[F > fmin], _yy[F > fmin]
    z_pos = np.zeros_like(z_size)
    x_size = 2
    y_size = 2

    ax.bar3d(x_pos, y_pos, z_pos, x_size, y_size, z_size)
    ax.view_init(azim=120)
    ax.set_xlim(0, num_bars+1)
    ax.set_ylim(0, num_bars+1)
    ax.set_title(title)
    ax.set_xlabel('M')
    ax.set_ylabel('N')
    ax.set_zlabel('kN/m²')