How to use the openjij.ChimeraModel function in openjij

def test_chimera_converter(self):
        h = {}
        J = {(0, 4): -1.0, (6, 2): -3.0, (16, 0): 4}
        chimera = oj.ChimeraModel(h, J, offset=0, unit_num_L=2)
        self.assertEqual(chimera.chimera_coordinate(
            4, unit_num_L=2), (0, 0, 4))
        self.assertEqual(chimera.chimera_coordinate(
            12, unit_num_L=2), (0, 1, 4))
        self.assertEqual(chimera.chimera_coordinate(
            16, unit_num_L=2), (1, 0, 0))

def test_chimera(self):
        h = {}
        J = {(0, 4): -1.0, (6, 2): -3.0}
        bqm = oj.ChimeraModel(h, J, offset=0, unit_num_L=3)
        self.assertTrue(bqm.validate_chimera())

        J = {(0, 1): -1}
        bqm = oj.ChimeraModel(h, J, unit_num_L=3)
        with self.assertRaises(ValueError):
            bqm.validate_chimera()

        J = {(4, 12): -1}
        bqm = oj.ChimeraModel(h, J, unit_num_L=2)
        self.assertTrue(bqm.validate_chimera())

        J = {(0, 4): -1, (5, 13): 1, (24, 8): 2,
             (18, 20): 1, (16, 0): 0.5, (19, 23): -2}
        h = {13: 2}
        chimera = oj.ChimeraModel(h, J, unit_num_L=2)
        self.assertEqual(chimera.to_index(1, 1, 1, unit_num_L=2), 25)

bqm = oj.ChimeraModel(h, J, offset=0, unit_num_L=3)
        self.assertTrue(bqm.validate_chimera())

        J = {(0, 1): -1}
        bqm = oj.ChimeraModel(h, J, unit_num_L=3)
        with self.assertRaises(ValueError):
            bqm.validate_chimera()

        J = {(4, 12): -1}
        bqm = oj.ChimeraModel(h, J, unit_num_L=2)
        self.assertTrue(bqm.validate_chimera())

        J = {(0, 4): -1, (5, 13): 1, (24, 8): 2,
             (18, 20): 1, (16, 0): 0.5, (19, 23): -2}
        h = {13: 2}
        chimera = oj.ChimeraModel(h, J, unit_num_L=2)
        self.assertEqual(chimera.to_index(1, 1, 1, unit_num_L=2), 25)

        self.assertTrue(chimera.validate_chimera())

def test_chimera(self):
        h = {}
        J = {(0, 4): -1.0, (6, 2): -3.0}
        bqm = oj.ChimeraModel(h, J, offset=0, unit_num_L=3)
        self.assertTrue(bqm.validate_chimera())

        J = {(0, 1): -1}
        bqm = oj.ChimeraModel(h, J, unit_num_L=3)
        with self.assertRaises(ValueError):
            bqm.validate_chimera()

        J = {(4, 12): -1}
        bqm = oj.ChimeraModel(h, J, unit_num_L=2)
        self.assertTrue(bqm.validate_chimera())

        J = {(0, 4): -1, (5, 13): 1, (24, 8): 2,
             (18, 20): 1, (16, 0): 0.5, (19, 23): -2}
        h = {13: 2}
        chimera = oj.ChimeraModel(h, J, unit_num_L=2)
        self.assertEqual(chimera.to_index(1, 1, 1, unit_num_L=2), 25)

        self.assertTrue(chimera.validate_chimera())

def _dict_to_model(self, var_type, h=None, J=None, Q=None, **kwargs):

        if 'unit_num_L' in kwargs:
            self.unit_num_L = kwargs['unit_num_L']
        elif not self.unit_num_L:
            raise ValueError(
                'Input "unit_num_L" to the argument or the constructor of GPUSASampler.')

        chimera = openjij.ChimeraModel(h=None, J=None, Q={(
            (0, 0, 1), (0, 0, 4)): -1}, var_type=openjij.BINARY, unit_num_L=2, gpu=True)

        return chimera