190025363107197f1704a06e21717af0ca577f18,cnn.py,,train,#,22

Before Change

def train(args):
    if not os.path.exists("feat.npy") or not os.path.exists("label.npy"): 
        print("Run feat_extract.py first")
        sys.exit(1)
    else:
        X = np.load("feat.npy")
        y = np.load("label.npy").ravel()

After Change

def train(args):
    if not op.exists("feat.npy") or not op.exists("label.npy"): 
        if input("No feature/labels found. Run feat_extract.py first? (Y/n)").lower() in ["y", "yes", ""]:
            feat_extract.main()
            train(args)
    else:

Instances