How to use the pyregion.region_numbers.Distance function in pyregion

Word(nums + " "),
              Word(nums + ".")
              ])
    expr = lhs + Optional(Literal("=").suppress() + rhs)
    expr.setParseAction(lambda s, l, tok: tuple(tok))

    return ZeroOrMore(expr)


ds9_shape_in_comment_defs = dict(
    text=wcs_shape(CoordOdd, CoordEven),
    vector=wcs_shape(CoordOdd, CoordEven,
                     Distance, Angle),
    composite=wcs_shape(CoordOdd, CoordEven, Angle),
    ruler=wcs_shape(CoordOdd, CoordEven, CoordOdd, CoordEven),
    compass=wcs_shape(CoordOdd, CoordEven, Distance),
    projection=wcs_shape(CoordOdd, CoordEven, CoordOdd, CoordEven, Distance),
    segment=wcs_shape(CoordOdd, CoordEven,
                      repeat=(0, 2))
)


class Ds9AttrParser(object):
    def set_continued(self, s, l, tok):
        self.continued = True

    def __init__(self):
        self.continued = False

        ds9_attr_parser = get_ds9_attr_parser()

        regionShape = define_shape_helper(ds9_shape_in_comment_defs)

quotedString,
              QuotedString("{", endQuoteChar="}"),
              paren + ZeroOrMore(paren),
              Word(nums + " "),
              Word(nums + ".")
              ])
    expr = lhs + Optional(Literal("=").suppress() + rhs)
    expr.setParseAction(lambda s, l, tok: tuple(tok))

    return ZeroOrMore(expr)


ds9_shape_in_comment_defs = dict(
    text=wcs_shape(CoordOdd, CoordEven),
    vector=wcs_shape(CoordOdd, CoordEven,
                     Distance, Angle),
    composite=wcs_shape(CoordOdd, CoordEven, Angle),
    ruler=wcs_shape(CoordOdd, CoordEven, CoordOdd, CoordEven),
    compass=wcs_shape(CoordOdd, CoordEven, Distance),
    projection=wcs_shape(CoordOdd, CoordEven, CoordOdd, CoordEven, Distance),
    segment=wcs_shape(CoordOdd, CoordEven,
                      repeat=(0, 2))
)


class Ds9AttrParser(object):
    def set_continued(self, s, l, tok):
        self.continued = True

    def __init__(self):
        self.continued = False

def convert_physical_to_imagecoord(shape, header):
    arg_types = _generate_arg_types(len(shape.coord_list), shape.name)

    new_coordlist = []
    coord_list_iter = iter(zip(shape.coord_list, arg_types))

    from .physical_coordinate import PhysicalCoordinate
    pc = PhysicalCoordinate(header)

    for coordinate, coordinate_type in coord_list_iter:
        if coordinate_type == CoordOdd:
            even_coordinate = next(coord_list_iter)[0]

            xy0 = pc.to_image(coordinate, even_coordinate)
            new_coordlist.extend(xy0)
        elif coordinate_type == Distance:
            new_coordlist.append(pc.to_image_distance(coordinate))
        else:
            new_coordlist.append(coordinate)

    return new_coordlist

CoordCommand,
                            comment_shell_like, define_simple_literals)
from .ds9_attr_parser import Ds9AttrParser, get_attr
from .wcs_converter import (convert_to_imagecoord,
                            convert_physical_to_imagecoord)

ds9_shape_defs = dict(
    circle=wcs_shape(CoordOdd, CoordEven, Distance),
    rotbox=wcs_shape(CoordOdd, CoordEven, Distance, Distance, Angle),
    box=wcs_shape(CoordOdd, CoordEven, Distance, Distance, Angle),
    polygon=wcs_shape(CoordOdd, CoordEven, repeat=(0, 2)),
    ellipse=wcs_shape(CoordOdd, CoordEven, Distance, Distance, Angle, repeat=(2, 4)),
    annulus=wcs_shape(CoordOdd, CoordEven, Distance, repeat=(2, 3)),
    panda=wcs_shape(CoordOdd, CoordEven, Angle, Angle, Integer, Distance, Distance, Integer),
    pie=wcs_shape(CoordOdd, CoordEven,
                  Distance, Distance,
                  Angle, Angle),
    epanda=wcs_shape(CoordOdd, CoordEven,
                     Angle, Angle, Integer,
                     Distance, Distance, Distance,
                     Distance, Integer, Angle),
    bpanda=wcs_shape(CoordOdd, CoordEven,
                     Angle, Angle, Integer,
                     Distance, Distance, Distance,
                     Distance, Integer, Angle),
    point=wcs_shape(CoordOdd, CoordEven),
    line=wcs_shape(CoordOdd, CoordEven, CoordOdd, CoordEven),
    vector=wcs_shape(CoordOdd, CoordEven, Distance, Angle),
    text=wcs_shape(CoordOdd, CoordEven),
)

image_like_coordformats = ["image", "physical", "detector", "logical"]