Method test_creation

tests/model/test_model.py:19–35

Test basic instantiation.

(self)

    META_MODEL_JSON = '{     "Regular Model 1": {         "Loss Event Frequency": {             "low": 20,             "mode": 100,             "high": 900         },         "Loss Magnitude": {             "low": 3000000,             "mode": 3500000,             "high": 5000000         },         "name": "Regular Model 1",         "n_simulations": 10000,         "random_seed": 42,         "model_uuid": "b6c6c968-a03c-11e9-a5db-f26e0bbd6dbc",         "type": "FairModel",         "creation_date": "2019-07-06 17:23:43.647370"     },     "Regular Model 2": {         "Loss Event Frequency": {             "mean": 0.3,             "stdev": 0.1         },         "Loss Magnitude": {             "low": 2000000000,             "mode": 3000000000,             "high": 5000000000         },         "name": "Regular Model 2",         "n_simulations": 10000,         "random_seed": 42,         "model_uuid": "b6ca98a4-a03c-11e9-8ce0-f26e0bbd6dbc",         "type": "FairModel",         "creation_date": "2019-07-06 17:23:43.672336"     },     "name": "My Meta Model!",     "model_uuid": "b6cce298-a03c-11e9-b79f-f26e0bbd6dbc",     "creation_date": "2019-07-06 17:23:43.687336",     "type": "FairMetaModel" }'

    def test_creation(self):
        """Test basic instantiation."""
        # Create FairModel
        model = FairModel('Test', self.N_SAMPLES, random_seed=42)
        # Ensure existence of appropriate attributes
        attributes = [
            model._tree,
            model._data_input,
            model._calculation,
            model._model_uuid,
            model._creation_date,
        ]
        for attribute in attributes:
            self.assertTrue(attribute)

        # Check that the table is of proper
        self.assertEqual(len(model._model_table.columns), self.MODEL_TABLE_COLUMN_COUNT)

    def test_read_json(self):
        """Test static method for reading JSON"""