def from_dict(cls, d: Dict) -> 'StructureGraph':
if 'nn_strategy' in d:
nn_strategy = d.pop('nn_strategy')
nn_strategy_obj = local_env.deserialize(nn_strategy)
d.update({'nn_strategy': nn_strategy_obj})
return super().from_dict(d)
return super().from_dict(d)
def test_serialization(self):
mall = MinimumDistanceNNAll(4)
config = serialize(mall)
self.assertDictEqual(
config, {"@module": "megnet.data.local_env", "@class": "MinimumDistanceNNAll", "cutoff": 4}
)
self.assertTrue(serialize(None) is None)
mall2 = deserialize(config)
self.assertTrue(isinstance(mall2, MinimumDistanceNNAll))
self.assertTrue(mall2.cutoff == 4)
def test_serialization(self):
mall = MinimumDistanceNNAll(4)
config = serialize(mall)
self.assertDictEqual(
config, {
'@module': 'megnet.data.local_env',
'@class': 'MinimumDistanceNNAll',
'cutoff': 4
})
self.assertTrue(serialize(None) is None)
mall2 = deserialize(config)
self.assertTrue(isinstance(mall2, MinimumDistanceNNAll))
self.assertTrue(mall2.cutoff == 4)
def from_dict(cls, d: Dict) -> "StructureGraph":
"""
Initialization from dictionary
Args:
d (dict): dictionary
Returns: StructureGraph object
"""
if "nn_strategy" in d:
nn_strategy = d.pop("nn_strategy")
nn_strategy_obj = local_env.deserialize(nn_strategy)
d.update({"nn_strategy": nn_strategy_obj})
return super().from_dict(d)
return super().from_dict(d)