def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
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)