def test_set_subset_obsm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_obsm_val = adata.obsm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.obsm["o"].shape[0])), subset.obs_names
    )

    assert subset.is_view
    subset.obsm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.obsm["o"] == orig_obsm_val)

    assert init_hash == joblib.hash(adata)
def _recreate_table(self, table, column=None, delta=None, omit_uniques=None):
    """Recreate the table properly

    Unlike the corresponding original method of sqlalchemy-migrate this one
    doesn't drop existing unique constraints when creating a new one.

    """

    table_name = self.preparer.format_table(table)

    # we remove all indexes so as not to have
    # problems during copy and re-create
    for index in table.indexes:
        index.drop()

    # reflect existing unique constraints
    for uc in self._get_unique_constraints(table):
        table.append_constraint(uc)
    # omit given unique constraints when creating a new table if required
    table.constraints = set([
        cons for cons in table.constraints
        if omit_uniques is None or cons.name not in omit_uniques
    ])

    self.append('ALTER TABLE %s RENAME TO migration_tmp' % table_name)
    self.execute()

    insertion_string = self._modify_table(table, column, delta)

    table.create(bind=self.connection)
    self.append(insertion_string % {'table_name': table_name})
    self.execute()
    self.append('DROP TABLE migration_tmp')
    self.execute()