8b87f16fcb698ae0f2ae3ccdae76605d92d9619e,deeppavlov/models/evolution/neuroevolution_param_generator.py,NetworkAndParamsEvolution,initialize_params_in_config,#NetworkAndParamsEvolution#Any#,119

Before Change

        params_for_search = {}
        evolving_params = []

        for param_name in basic_params.keys():
            if type(basic_params[param_name]) is dict:
                if basic_params[param_name].get("choice"):
                    params_for_search[param_name] = list(basic_params[param_name]["values"])
                    evolving_params.append(param_name)
                elif basic_params[param_name].get("range"):
                    params_for_search[param_name] = deepcopy(basic_params[param_name])
                    evolving_params.append(param_name)
                else:
                    // NOT evolving params
                    params[param_name] = deepcopy(basic_params[param_name])
            else:
                // NOT evolving params
                params[param_name] = deepcopy(basic_params[param_name])

        params_for_search = deepcopy(self.sample_params(**params_for_search))

After Change

        params_for_search = {}
        evolving_params = []

        for param_name in list(basic_params.keys()):
            if basic_params[param_name]:
                if type(basic_params[param_name]) is dict:
                    if basic_params[param_name].get("choice"):
                        params_for_search[param_name] = list(basic_params[param_name]["values"])
                        evolving_params.append(param_name)
                    elif basic_params[param_name].get("range"):
                        params_for_search[param_name] = deepcopy(basic_params[param_name])
                        evolving_params.append(param_name)
                    else:
                        // NOT evolving params
                        params[param_name] = deepcopy(basic_params[param_name])
                else:
                    // NOT evolving params
                    params[param_name] = deepcopy(basic_params[param_name])
        if basic_params:
            params_for_search = deepcopy(self.sample_params(**params_for_search))

Instances