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Computing shared edges in two graphs

This project is for use in the course DA3018.

This project contains a program called snitt.py that takes two files as input. The files are supposed to contain one graph each, stored as lists of edges: each line is a pair of vertex names. I have two very large graphs I want to compare and the program is therefore designed to be sparing with memory, although that is not something I have worked hard to optimize. The idea is that I store only one of the graphs in memory and then just read the edges from the other file to check whether they are present in graph 1 or not. The output is a count of shared and unique edges.

Currently, there is something wrong with the program. I have two small test files, t1.txt and t2.txt, that share two edges and have one unique edge each.

There are also two larger test files, pairs1.txt and pairs2.txt if you want to work with that. They are taken from the original graph data, which contained roughly 80 million and 50 million edges.

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  • Python 100.0%