Still a UnboundLocalError regarding local variable 'array_bk_sarcs'

[mattijn]

Consider the follow code:

import topojson
from shapely import geometry
from IPython.display import SVG, display

data = {
    "foo": {"type": "LineString", "coordinates": [[0, 0], [2, 2], [4, 0]]},
    "bar": {"type": "LineString", "coordinates": [[0, 2], [1, 1], [2, 2],[3,1],[4,2]]},
}

ex = topojson.extract(data)
lines = geometry.MultiLineString(ex['linestrings'])
svg_lines = lines._repr_svg_()
svg_lines = svg_lines.replace('stroke="#66cc99"', 'stroke="orange"', 1)
svg_lines = svg_lines.replace('stroke-width="0.0864"', 'stroke-width="0.25"', 1)
svg_lines = svg_lines.replace('opacity="0.8"', 'opacity="0.4"', 1)

display(SVG(svg_lines))

jo = topojson.join(ex)

geom = geometry.GeometryCollection([
    geometry.MultiLineString(jo['linestrings']),
    geometry.MultiPoint(jo['junctions'])
])
svg_geom = geom._repr_svg_()

svg_geom = svg_geom.replace('fill="#66cc99"', 'fill="orange"')
display(SVG(svg_geom))

cu = topojson.cut(jo)
for i in range(len(cu['linestrings'])):
    line = cu['linestrings'][i]
    svg = line._repr_svg_()
    display(SVG(svg))

de = topojson.dedup(cu)

    ---------------------------------------------------------------------------

    UnboundLocalError                         Traceback (most recent call last)

    <ipython-input-8-651cef27808e> in <module>()
    ----> 1 de = topojson.dedup(cu)
    

    ~/topojson/topojson/dedup.py in dedup(data)
        253     data = copy.deepcopy(data)
        254     deduper = Dedup()
    --> 255     return deduper.main(data)
    

    ~/topojson/topojson/dedup.py in main(self, data)
        217         # apply a shapely linemerge to merge all contiguous line-elements
        218         # first create a mask for shared arcs to select only non-duplicates
    --> 219         mask = np.isin(array_bk, array_bk_sarcs)
        220         array_bk_ndp = copy.deepcopy(array_bk.astype(float))
        221 


    UnboundLocalError: local variable 'array_bk_sarcs' referenced before assignment

cu['bookkeeping_duplicates']

    array([], dtype=float64)

It seems its related to #1