80286b609c446c1d9bb1af1f70056c1af727835a,featuretools/tests/computational_backend/test_calculate_feature_matrix.py,,test_saveprogress,#Any#,160

Before Change

    save_progress = tempfile.mkdtemp()
    fm_save = calculate_feature_matrix([property_feature],
                                       entityset,
                                       instance_ids=range(17),
                                       cutoff_time=times,
                                       save_progress=save_progress)
    _, _, files = next(os.walk(save_progress))

After Change

                 [datetime(2011, 4, 10, 10, 40, i) for i in range(2)] +
                 [datetime(2011, 4, 10, 10, 41, i * 3) for i in range(3)] +
                 [datetime(2011, 4, 10, 11, 10, i * 3) for i in range(2)])
    cutoff_time = pd.DataFrame({"time": times, "instance_id": range(17)})
    property_feature = IdentityFeature(entityset["log"]["value"]) > 10
    save_progress = tempfile.mkdtemp()
    fm_save = calculate_feature_matrix([property_feature],
                                       entityset,

Instances