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(self, section, option):
            if _section == section:
                if option == 'memcache_servers':
                    if _srvs == 'error':
                        raise NoOptionError(option, section)
                    return _srvs
                elif option == 'memcache_serialization_support':
                    if _sers == 'error':
                        raise NoOptionError(option, section)
                    return _sers
                elif option in ('memcache_max_connections',
                                'max_connections'):
                    if _maxc == 'error':
                        raise NoOptionError(option, section)
                    return _maxc
                else:
                    raise NoOptionError(option, section)
            else:
                raise NoSectionError(option)