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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 analyze_dists(dists, cutoff=1000, alpha=.1):
 """ The dists can show bimodal distribution if they come from a mate-pair library. Assume bimodal distribution and then separate the two peaks. Based on the percentage in each peak, we can decide if it is indeed one peak or two peaks, and report the median respectively. """

    peak0 = [d for d in dists if d < cutoff]
    peak1 = [d for d in dists if d >= cutoff]
    c0, c1 = len(peak0), len(peak1)
    logging.debug("Component counts: {0} {1}".format(c0, c1))
    if c0 == 0 or c1 == 0 or float(c1) / len(dists) < alpha:
        logging.debug("Single peak identified ({0} / {1} < {2})".\
                        format(c1, len(dists), alpha))
        return np.median(dists)

    peak0_median = np.median(peak0)
    peak1_median = np.median(peak1)
    logging.debug("Dual peaks identified: {0}bp ({1}), {2}bp ({3}) (selected)".\
                format(int(peak0_median), c0, int(peak1_median), c1))

    return peak1_median