7e7a2b27edd81786fe3f6e4439c1ff5effcc6233,snips_nlu/tests/test_crf_slot_filler.py,TestCRFSlotFiller,test_should_be_serializable,#TestCRFSlotFiller#Any#,194

Before Change

            },
            {
                "factory_name": "get_shape_ngram_fn",
                "args": {"n": 2, "language_code": language.iso_code},
                "offsets": [-1, 0]
            }
        ]
        config = CRFSlotFillerConfig(tagging_scheme=TaggingScheme.BILOU)
        dataset = validate_and_format_dataset(SAMPLE_DATASET)

        slot_filler = CRFSlotFiller(features_signatures, config)
        intent = "dummy_intent_1"
        slot_filler.fit(dataset, intent=intent)

        // When
        actual_slot_filler_dict = slot_filler.to_dict()

        // Then
        expected_slot_filler_dict = {
            "crf_model_data": "mocked_crf_model_data",
            "features_signatures": [
                {
                    "args": {
                        "n": 1,
                        "language_code": language.iso_code
                    },
                    "factory_name": "get_shape_ngram_fn",
                    "offsets": [
                        0
                    ]
                },
                {
                    "args": {
                        "n": 2,
                        "language_code": language.iso_code
                    },
                    "factory_name": "get_shape_ngram_fn",
                    "offsets": [
                        -1,

After Change

            },
            {
                "factory_name": IsDigitFactory.name,
                "args": {},
                "offsets": [-1, 0]
            }
        ]
        config = CRFSlotFillerConfig(
            tagging_scheme=TaggingScheme.BILOU,
            feature_factory_configs=features_factories)
        dataset = validate_and_format_dataset(SAMPLE_DATASET)

        slot_filler = CRFSlotFiller(config)
        intent = "dummy_intent_1"
        slot_filler.fit(dataset, intent=intent)

        // When
        actual_slot_filler_dict = slot_filler.to_dict()

        // Then
        expected_feature_factories = [
            {
                "factory_name": ShapeNgramFactory.name,
                "args": {"n": 1, "language_code": "en"},
                "offsets": [0]
            },
            {
                "factory_name": IsDigitFactory.name,
                "args": {},
                "offsets": [-1, 0]
            }
        ]
        expected_config = CRFSlotFillerConfig(
            tagging_scheme=TaggingScheme.BILOU,
            feature_factory_configs=expected_feature_factories)
        expected_slot_filler_dict = {
            "crf_model_data": "mocked_crf_model_data",
            "language_code": "en",
            "config": expected_config.to_dict(),
            "intent": intent,
            "slot_name_mapping": {
                "dummy_intent_1": {
                    "dummy_slot_name": "dummy_entity_1",
                    "dummy_slot_name2": "dummy_entity_2",
                    "dummy_slot_name3": "dummy_entity_2",
                },
                "dummy_intent_2": {
                    "dummy slot nàme": "dummy_entity_1"
                }
            },
        }
        self.assertDictEqual(actual_slot_filler_dict,
                             expected_slot_filler_dict)

    @patch("snips_nlu.slot_filler.crf_slot_filler.deserialize_crf_model")

Instances