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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def norm(table):
 """ fit to normal distribution """

    print('# norm dist is broken', file=sys.stderr)
    exit()
    from matplotlib.pyplot import hist as hist
    t = []
    for i in table:
        t.append(np.ndarray.tolist(hist(i, bins = len(i), normed = True)[0]))
    return t