$ python scripts/bench.py --helpusage: bench.py [-h] [-b {graphblas,networkx,scipy}] [-t TIME] [-n N] -d DATA [-j] -f FUNC [--extra EXTRA]Example usage: python scripts/bench.py -b graphblas -f pagerank -d amazon0302options:  -h, --help            show this help message and exit  -b {graphblas,networkx,scipy}, --backend {graphblas,networkx,scipy}  -t TIME, --time TIME  Target minimum time to run benchmarks  -n N                  The number of times to run the benchmark (the default is to run according to time)  -d DATA, --data DATA  The path to a mtx file or one of the following data names: {amazon0302, as-Skitter,                        caidaRouterLevel, citationCiteseer, coAuthorsDBLP, coPapersCiteseer, coPapersDBLP, dblp-2010,                        email-Enron, preferentialAttachment, soc-Pokec, web-Google}; data will be downloaded if necessary  -j, --json            Print results as json instead of human-readable text  -f FUNC, --func FUNC  Which function to benchmark  --extra EXTRA         Extra string to add to the function call

$ python scripts/bench.py -b graphblas -f pagerank -d amazon0302Downloading data/amazon0302.mtx from https://sparse.tamu.edu/MM/SNAP/amazon0302.tar.gz===========================================================Backend = graphblas, function = pagerank, data = amazon0302-----------------------------------------------------------Number of runs: 256first:  12.1 msmedian: 10.2 msmean:   10.6 msstdev:  1.39 msmin:    9.99 msmax:    18.6 ms===========================================================

$ python scripts/bench.py -b networkx -f pagerank -d amazon0302 -n 5 --json{"backend": "networkx", "function": "pagerank", "data": "amazon0302", "n": 5, "first": 3.455940272193402, "median": 3.430417278315872, "mean": 3.419718873221427, "stdev": 0.028473827004063253, "min": 3.3903320101089776, "max": 3.455940272193402}