-voronoi_utility.py:
	-edge_dictionary was actually separating edges that correspond to the same vertex and classifying them under different vertex numbers, so I've made a first attempt at fixing this
	-although the fix seems to address that issue for the most part, I see there is a new problem where some Voronoi vertices correspond to 20 edges (!), and the overall issues with the Voronoi diagram from my code still appear to be identical in ipynb testing