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Solve the following python programming problem given the following code:
def create_dataset(rawdata) : 
    from dlearn.data.dataset import Dataset 
    from dlearn.utils import imgproc 
    def imgprep(img) : 
        if (img.shape != (160, 80)) : 
            img = imgproc.resize (img, [160, 80], keep_ratio = 'height') 
img = imgproc.subtract_luminance (img) 
        img = np.rollaxis (img, 2) 
        return (img / 100.0).astype (np.float32) 
def choose_attr_uni(attr, title) : 
        ind = conf.attr_uni_titles.index (title) 
        vals = conf.attr_uni [ind] 
        ind = [conf.attr_names.index (v) for v in vals] 
        return np.where ((attr [ind] == 1)) [0] [0] 
def choose_attr_mul(attr, title) : 
        ind = conf.attr_mul_titles.index (title) 
        vals = conf.attr_mul [ind] 
        ind = [conf.attr_names.index (v) for v in vals] 
        return attr [ind].astype (np.float32) 
def choose_seg(seg, title) : 
        val = conf.seg_pix [title] 
        img = (seg == val).astype (np.float32) 
        img = imgproc.resize (img, [37, 17]) 
        return img.astype (np.float32) 
m = len (rawdata) 
    X = ([0] * (2 * m)) 
    A = ([0] * (2 * m)) 
    S = ([0] * (2 * m)) 
    i = 0 
    for (img, attr, seg) in img : 
        X [i] = imgprep (img) 
        A [i] = choose_attr_mul (attr, 'Upper Body Colors') 
        S [i] = choose_seg (seg, 'Upper') 
        X [(i + 1)] = X [i] [:, :, : : (- 1)].copy () 
        A [(i + 1)] = A [i].copy () 
        S [(i + 1)] = S [i] [:, : : (- 1)].copy () 
        i += 2 
X = np.asarray (X) 
    A = np.asarray (A) 
    S = np.asarray (S) 
    X = (X - X.mean (axis = 0)) 
    def parse_list(arglist) : 
        d = { 
            'X' : X, 
            'A' : A, 
            'S' : S, 
} 
        l = map ((lambda x : d [x]), arglist) 
        return (l [0] if (len (l) == 1) else l) 
dataset = Dataset (parse_list (args.input), parse_list (args.target)) 
    dataset.split (0.7, 0.2) 
    return dataset 

    
    

    Fix the buggy line: for (img, attr, seg) in img :
assistant
#Here is Python program to fix the buggy line: for (img, attr, seg) in img :
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for (img, attr, seg) in rawdata :