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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 likelihood2(args):
 """ %prog likelihood2 100_20.json Plot the likelihood surface and marginal distributions. """

    from matplotlib import gridspec

    p = OptionParser(likelihood2.__doc__)
    opts, args, iopts = p.set_image_options(args, figsize="10x5",
                                style="white", cmap="coolwarm")

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

    jsonfile, = args
    fig = plt.figure(figsize=(iopts.w, iopts.h))
    gs = gridspec.GridSpec(2, 2)
    ax1 = fig.add_subplot(gs[:, 0])
    ax2 = fig.add_subplot(gs[0, 1])
    ax3 = fig.add_subplot(gs[1, 1])
    plt.tight_layout(pad=3)
    pf = plot_panel(jsonfile, ax1, ax2, ax3, opts.cmap)

    root = fig.add_axes([0, 0, 1, 1])
    normalize_axes(root)

    image_name = "likelihood2.{}.".format(pf) + iopts.format
    savefig(image_name, dpi=iopts.dpi, iopts=iopts)