def estimategaps(args):
    p = OptionParser(estimategaps.__doc__)
    opts, args, iopts = p.set_image_options(args, figsize="6x6", dpi=300)

    if len(args) != 3:
        sys.exit(not p.print_help())

    pf, seqid, mlg = args
    bedfile = pf + ".lifted.bed"
    agpfile = pf + ".agp"

    function = lambda x: x.cm
    cc = Map(bedfile, scaffold_info=True, function=function)
    agp = AGP(agpfile)

    g = GapEstimator(cc, agp, seqid, mlg, function=function)
    pp, chrsize, mlgsize = g.pp, g.chrsize, g.mlgsize
    spl, spld = g.spl, g.spld
    g.compute_all_gaps(verbose=False)

    fig = plt.figure(1, (iopts.w, iopts.h))
    root = fig.add_axes([0, 0, 1, 1])

    # Panel A
    xstart, ystart = .15, .65
    w, h = .7, .3
    t = np.linspace(0, chrsize, 1000)
    ax = fig.add_axes([xstart, ystart, w, h])
    mx, my = zip(*g.scatter_data)
    rho = spearmanr(mx, my)

    dsg = "g"
    ax.vlines(pp, 0, mlgsize, colors="beige")
    ax.plot(mx, my, ".", color=set2[3])
    ax.plot(t, spl(t), "-", color=dsg)
    ax.text(.05, .95, mlg, va="top", transform=ax.transAxes)
    normalize_lms_axis(ax, xlim=chrsize, ylim=mlgsize,
                       ylabel="Genetic distance (cM)")
    if rho < 0:
        ax.invert_yaxis()

    # Panel B
    ystart -= .28
    h = .25
    ax = fig.add_axes([xstart, ystart, w, h])
    ax.vlines(pp, 0, mlgsize, colors="beige")
    ax.plot(t, spld(t), "-", lw=2, color=dsg)
    ax.plot(pp, spld(pp), "o", mfc="w", mec=dsg, ms=5)
    normalize_lms_axis(ax, xlim=chrsize, ylim=25 * 1e-6,
                       xfactor=1e-6, xlabel="Physical position (Mb)",
                       yfactor=1000000, ylabel="Recomb. rate\n(cM / Mb)")
    ax.xaxis.grid(False)

    # Panel C (specific to JMMale-1)
    a, b = "scaffold_1076", "scaffold_861"
    sizes = dict((x.component_id, (x.object_beg, x.object_end,
                                   x.component_span, x.orientation)) \
                                   for x in g.agp if not x.is_gap)
    a_beg, a_end, asize, ao = sizes[a]
    b_beg, b_end, bsize, bo = sizes[b]
    gapsize = g.get_gapsize(a)
    total_size = asize + gapsize + bsize
    ratio = .6 / total_size
    y = .16
    pad = .03
    pb_ratio = w / chrsize

    # Zoom
    lsg = "lightslategray"
    root.plot((.15 + pb_ratio * a_beg, .2),
              (ystart, ystart - .14), ":", color=lsg)
    root.plot((.15 + pb_ratio * b_end, .3),
              (ystart, ystart - .08), ":", color=lsg)
    ends = []
    for tag, size, marker, beg in zip((a, b), (asize, bsize), (49213, 81277),
                              (.2, .2 + (asize + gapsize) * ratio)):
        end = beg + size * ratio
        marker = beg + marker * ratio
        ends.append((beg, end, marker))
        root.plot((marker,), (y,), "o", color=lsg)
        root.text((beg + end) / 2, y + pad, latex(tag),
                  ha="center", va="center")
        HorizontalChromosome(root, beg, end, y, height=.025, fc='gainsboro')

    begs, ends, markers = zip(*ends)
    fontprop = dict(color=lsg, ha="center", va="center")
    ypos = y + pad * 2
    root.plot(markers, (ypos, ypos), "-", lw=2, color=lsg)
    root.text(sum(markers) / 2, ypos + pad,
              "Distance: 1.29cM $\Leftrightarrow$ 211,824bp (6.1 cM/Mb)", **fontprop)

    ypos = y - pad
    xx = markers[0], ends[0]
    root.plot(xx, (ypos, ypos), "-", lw=2, color=lsg)
    root.text(sum(xx) / 2, ypos - pad, "34,115bp", **fontprop)
    xx = markers[1], begs[1]
    root.plot(xx, (ypos, ypos), "-", lw=2, color=lsg)
    root.text(sum(xx) / 2, ypos - pad, "81,276bp", **fontprop)

    root.plot((ends[0], begs[1]), (y, y), ":", lw=2, color=lsg)
    root.text(sum(markers) / 2, ypos - 3 * pad, r"$\textit{Estimated gap size: 96,433bp}$",
                                  color="r", ha="center", va="center")

    labels = ((.05, .95, 'A'), (.05, .6, 'B'), (.05, .27, 'C'))
    panel_labels(root, labels)
    normalize_axes(root)

    pf = "estimategaps"
    image_name = pf + "." + iopts.format
    savefig(image_name, dpi=iopts.dpi, iopts=iopts)
Mark the current version of the review branch as 'bad in review'.
dataset/ETHPy150Open tanghaibao/jcvi/projects/allmaps.py/estimategaps--crossover with--dataset/ETHPy150Open bloomberg/phabricator-tools/py/abd/abdt_branch.py/Branch.mark_new_bad_in_review