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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 multireport(args):
 """ %prog multireport layoutfile Generate several Ks value distributions in the same figure. If the layout file is missing then a template file listing all ks files will be written. The layout file contains the Ks file, number of components, colors, and labels: # Ks file, ncomponents, label, color, marker LAP.sorghum.ks, 1, LAP-sorghum, r, o SES.sorghum.ks, 1, SES-sorghum, g, + MOL.sorghum.ks, 1, MOL-sorghum, m, ^ If color or marker is missing, then a random one will be assigned. """

    p = OptionParser(multireport.__doc__)
    p.set_outfile(outfile="Ks_plot.pdf")
    add_plot_options(p)
    opts, args, iopts = p.set_image_options(args, figsize="5x5")

    if len(args) != 1:
        sys.exit(not p.print_help())

    layoutfile, = args
    ks_min = opts.vmin
    ks_max = opts.vmax
    bins = opts.bins
    fill = opts.fill
    layout = Layout(layoutfile)
    print(layout, file=sys.stderr)

    fig = plt.figure(1, (iopts.w, iopts.h))
    ax = fig.add_axes([.12, .1, .8, .8])
    kp = KsPlot(ax, ks_max, bins, legendp=opts.legendp)
    for lo in layout:
        data = KsFile(lo.ksfile)
        data = [x.ng_ks for x in data]
        data = [x for x in data if ks_min <= x <= ks_max]
        kp.add_data(data, lo.components, label=lo.label, \
                    color=lo.color, marker=lo.marker,
                    fill=fill, fitted=opts.fit)

    kp.draw(title=opts.title, filename=opts.outfile)