caf7f0ae508bd8a5212d0ed5a928ad667c57efd8,data_utils.py,,generator_from_raw_dataset,#,328

Before Change

    if phase == "train":
        chorale_indices = np.arange(int(len(X) * percentage_train))
    if phase == "test":
        chorale_indices = np.arange(int(len(X) * percentage_train), len(X))
    if phase == "all":
        chorale_indices = np.arange(int(len(X)))

    left_features = []

After Change

    if phase == "all":
        chorale_indices = np.arange(total_size)

    assert len(chorale_indices) > 0, "The list of chorales for the phase "%s" must not be empty" % phase

    left_features = []
    right_features = []
    central_features = []

Instances