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 _drop_schema(self, force_drop=False):
        """ Drops the schema"""
        connection = connections[get_tenant_database_alias()]
        has_schema = hasattr(connection, 'schema_name')
        if has_schema and connection.schema_name not in (self.schema_name, get_public_schema_name()):
            raise Exception("Can't delete tenant outside it's own schema or "
                            "the public schema. Current schema is %s."
                            % connection.schema_name)

        if has_schema and schema_exists(self.schema_name) and (self.auto_drop_schema or force_drop):
            self.pre_drop()
            cursor = connection.cursor()
            cursor.execute('DROP SCHEMA "%s" CASCADE' % self.schema_name)