def test_layers_view():
    X = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
    L = np.array([[10, 11, 12], [13, 14, 15], [16, 17, 18]])
    real_adata = ad.AnnData(X)
    real_adata.layers["L"] = L
    view_adata = real_adata[1:, 1:]
    real_hash = joblib.hash(real_adata)
    view_hash = joblib.hash(view_adata)

    assert view_adata.is_view

    with pytest.raises(ValueError):
        view_adata.layers["L2"] = L + 2

    assert view_adata.is_view  # Failing to set layer item makes adata not view
    assert real_hash == joblib.hash(real_adata)
    assert view_hash == joblib.hash(view_adata)

    view_adata.layers["L2"] = L[1:, 1:] + 2

    assert not view_adata.is_view
    assert real_hash == joblib.hash(real_adata)
    assert view_hash != joblib.hash(view_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()