I implemented a bunch of Bloom filters and benchmarked them. Benchmarking code is in bench.cpp, False Positive Rate-measuring is in
fpr.cpp, and implementations are in bloom_filters.h. To build, run build.sh, and then run ./bench or ./fpr. Both will output
CSV to stdout, which you can then graph with graph.py.
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