def test_views():
    X = np.array(X_list)
    adata = ad.AnnData(X, obs=obs_dict, var=var_dict, uns=uns_dict, dtype="int32")

    assert adata[:, 0].is_view
    assert adata[:, 0].X.tolist() == np.reshape([1, 4, 7], (3, 1)).tolist()

    adata[:2, 0].X = [0, 0]

    assert adata[:, 0].X.tolist() == np.reshape([0, 0, 7], (3, 1)).tolist()

    adata_subset = adata[:2, [0, 1]]

    assert adata_subset.is_view
    # now transition to actual object
    adata_subset.obs["foo"] = range(2)
    assert not adata_subset.is_view

    assert adata_subset.obs["foo"].tolist() == list(range(2))
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()