def main(args):
    import optparse
    parser = optparse.OptionParser()
    parser.add_option(
        "-S", "--skew", dest="skew", type="int", default=None,
        help=("Apply skew effect (measured in pixels) to make it look "
              "extra cool.  For example, Fabulous' logo logo is skewed "
              "by 5 pixels.  Default: %default"))
    parser.add_option(
        "-C", "--color", dest="color", default="#0099ff",
        help=("Color of your text.  This can be specified as you would "
              "using HTML/CSS.  Default: %default"))
    parser.add_option(
        "-B", "--term-color", dest="term_color", default=None,
        help=("If you terminal background isn't black, please change "
              "this value to the proper background so semi-transparent "
              "pixels will blend properly."))
    parser.add_option(
        "-F", "--font", dest="font", default='IndUni-H-Bold',
        help=("Path to font file you wish to use.  This defaults to a "
              "free Helvetica-Bold clone which is included with Fabulous.  "
              "Default value: %default"))
    parser.add_option(
        "-Z", "--size", dest="fsize", type="int", default=20,
        help=("Size of font in points.  Default: %default"))
    parser.add_option(
        "-s", "--shadow", dest="shadow", action="store_true", default=False,
        help=("Size of font in points.  Default: %default"))
    (options, args) = parser.parse_args(args=args)

    if options.term_color:
        utils.term.bgcolor = options.term_color

    for line in " ".join(args).split("\n"):
        fab_text = Text(line, skew=options.skew, color=options.color,
                        font=options.font, fsize=options.fsize,
                        shadow=options.shadow)
        for chunk in fab_text:
            print chunk
The y coordinate of the upper left corner of the coverage area.
dataset/ETHPy150Open jart/fabulous/fabulous/text.py/main--crossover with--dataset/ETHPy150Open GeoscienceAustralia/agdc/src/landsat_ingester/landsat_dataset.py/LandsatDataset.get_ul_y