def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def mcv_muer(mcv, ax=0):
    """plot rel. permeability vs. B of mcv dict"""
    MUE0 = 4e-7*np.pi
    bi, ur = zip(*[(bx, bx/hx/MUE0)
                   for bx, hx in zip(mcv['curve'][0]['bi'],
                                     mcv['curve'][0]['hi']) if not hx == 0])
    if ax == 0:
        ax = plt.gca()
    ax.plot(bi, ur)
    ax.set_xlabel('B / T')
    ax.set_title('rel. Permeability')
    ax.grid()