def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
def get_organizations(self):
        legis = Organization('Minnesota Legislature', classification='legislature')

        upper = Organization('Minnesota Senate', classification='upper',
                             parent_id=legis._id)
        lower = Organization('Minnesota House of Representatives',
                             classification='lower', parent_id=legis._id)

        for n in range(1, 68):
            upper.add_post(label=str(n), role='Senator',
                           division_id='ocd-division/country:us/state:mn/sldu:{}'.format(n))
            lower.add_post(label=str(n) + 'A', role='Representative',
                           division_id='ocd-division/country:us/state:mn/sldl:{}a'.format(n))
            lower.add_post(label=str(n) + 'B', role='Representative',
                           division_id='ocd-division/country:us/state:mn/sldl:{}b'.format(n))

        yield legis
        yield upper
        yield lower