caf7f0ae508bd8a5212d0ed5a928ad667c57efd8,data_utils.py,,generator_from_raw_dataset,#Any#Any#Any#Any#Any#Any#Any#,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

    num_voices = len(voice_ids)
    // Set chorale_indices
    total_size = len(X)
    training_size = int(round(total_size * percentage_train))
    if phase == "train":
        chorale_indices = np.arange(training_size)
    if phase == "test":
        chorale_indices = np.arange(training_size, total_size)

Instances