8e3c612815cb03dfaf4f17f9ce79fcfe03088e30,allennlp/tests/nn/pretrained_model_initializer_test.py,TestPretrainedModelInitializer,_get_applicator,#TestPretrainedModelInitializer#Any#Any#Any#,45

Before Change

            }
        )
        params = Params({"initializer": [(regex, initializer_params)]})
        return InitializerApplicator.from_params(params["initializer"])

    def test_random_initialization(self):
        // The tests in the class rely on the fact that the parameters for
        // `self.net1` and `self.net2` are randomly initialized and not

After Change

        weights_file_path: str,
        parameter_name_overrides: Optional[Dict[str, str]] = None,
    ) -> InitializerApplicator:
        initializer = PretrainedModelInitializer(weights_file_path, parameter_name_overrides)
        return InitializerApplicator([(regex, initializer)])

    def test_random_initialization(self):
        // The tests in the class rely on the fact that the parameters for
        // `self.net1` and `self.net2` are randomly initialized and not

Instances