def test_view_of_view_modification():
    adata = ad.AnnData(np.zeros((10, 10)))
    adata[0, :][:, 5:].X = np.ones(5)
    assert np.all(adata.X[0, 5:] == np.ones(5))
    adata[[1, 2], :][:, [1, 2]].X = np.ones((2, 2))
    assert np.all(adata.X[1:3, 1:3] == np.ones((2, 2)))

    adata.X = sparse.csr_matrix(adata.X)
    adata[0, :][:, 5:].X = np.ones(5) * 2
    assert np.all(asarray(adata.X)[0, 5:] == np.ones(5) * 2)
    adata[[1, 2], :][:, [1, 2]].X = np.ones((2, 2)) * 2
    assert np.all(asarray(adata.X)[1:3, 1:3] == np.ones((2, 2)) * 2)
def i1beta_phasor(up, i1, beta, r1, xd, xq, ax=0):
    """creates a phasor plot
    up: internal voltage
    i1: current
    beta: angle i1 vs up [deg]
    r1: resistance
    xd: reactance in direct axis
    xq: reactance in quadrature axis"""

    i1d, i1q = (i1*np.sin(beta/180*np.pi), i1*np.cos(beta/180*np.pi))
    uxdq = ((r1*i1d - xq*i1q), (r1*i1q + xd*i1d))
    __phasor_plot(ax, up, (i1d, i1q), uxdq)