def get_map_datasets(): dataset_1 = simulate_map_dataset(random_state=0, name="dataset_1") gti1 = GTI.create("0 h", "1 h", "2010-01-01T00:00:00") dataset_1.gti = gti1 dataset_2 = simulate_map_dataset(random_state=1, name="dataset_2") gti2 = GTI.create("1 h", "2 h", "2010-01-01T00:00:00") dataset_2.gti = gti2 return [dataset_1, dataset_2]
def get_map_datasets(): dataset_1 = simulate_map_dataset(random_state=0, name="dataset_1") gti1 = GTI.create("0 h", "1 h", "2010-01-01T00:00:00") dataset_1.gti = gti1 dataset_2 = simulate_map_dataset(random_state=1, name="dataset_2") gti2 = GTI.create("1 h", "2 h", "2010-01-01T00:00:00") dataset_2.gti = gti2 model = dataset_1.models["source"].copy("test_source") dataset_1.models.pop("source") dataset_2.models.pop("source") dataset_1.models.append(model) dataset_2.models.append(model) return [dataset_1, dataset_2]
def get_map_datasets(): dataset_1 = simulate_map_dataset(random_state=0, name="dataset_1") gti1 = GTI.create("0 h", "1 h", "2010-01-01T00:00:00") dataset_1.gti = gti1 dataset_2 = simulate_map_dataset(random_state=1, name="dataset_2") gti2 = GTI.create("1 h", "2 h", "2010-01-01T00:00:00") dataset_2.gti = gti2 model = dataset_1.models["source"].copy("test_source") bkg_model_1 = FoVBackgroundModel(dataset_name="dataset_1") bkg_model_2 = FoVBackgroundModel(dataset_name="dataset_2") dataset_1.models = [model, bkg_model_1] dataset_2.models = [model, bkg_model_2] return [dataset_1, dataset_2]