human
Solve the following python programming problem given the following code:
def fetch_binarized_mnist() : 
    ' Get binarized version of MNIST data ' 
    (train_set, valid_set, test_set) = fetch_mnist () 
    train_X = train_set [0] 
    train_y = train_set [1] 
    valid_X = valid_set [0] 
    valid_y = train_set [1] 
    test_X = test_set [0] 
    test_y = test_set [1] 
    random_state = np.random.RandomState (1999) 
    def get_sampled(arr) : 
        return random_state.binomial (1, ((arr * 255) / 256.0), size = arr.shape) 
train_X = get_sampled (train_X) 
    valid_X = get_sampled (valid_X) 
    test_X = get_sampled (test_X) 
    train_set = (train_X, train_y) 
    valid_set = (valid_X, valid_y) 
    test_set = (test_X, test_y) 
    '
    # Old version for true binarized mnist
    data_path = check_fetch_binarized_mnist()
    fpath = os.path.join(data_path, "binarized_mnist.npz")

    arr = np.load(fpath)
    train_x = arr[\'train_data\']
    valid_x = arr[\'valid_data\']
    test_x = arr[\'test_data\']
    train, valid, test = fetch_mnist()
    train_y = train[1]
    valid_y = valid[1]
    test_y = test[1]
    train_set = (train_x, train_y)
    valid_set = (valid_x, valid_y)
    test_set = (test_x, test_y)
    ' 
    return (train_set, valid_set, test_set) 

    
    

    Fix the buggy line: valid_y = train_set [1]
assistant
#Here is Python code to fix the buggy line: valid_y = train_set [1]
.

valid_y = valid_set [1]