* bench/stutter/stutter_bench.sh: Add headers in the CSV files, and also run stutter_invariance_randomgraph. * bench/stutter/stutter_invariance_formulas.cc: Remove space from CSV output. * bench/stutter/stutter_invariance_randomgraph.cc: Likewise, plus fix the call to is_stutter_invariant(), and return an average time. * bench/stutter/stutter.ipynb: Adjust. * bench/stutter/README: Simplify. * bench/stutter/Makefile.am: Distribute the script and python notebook. |
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| .. | ||
| Makefile.am | ||
| README | ||
| stutter.ipynb | ||
| stutter_bench.sh | ||
| stutter_invariance_formulas.cc | ||
| stutter_invariance_randomgraph.cc | ||
This benchmark measures the performance of different algorithms to check if property (expressed as a formula or as a deterministic TGBA) is stutter-invariant. When the benchmark is run on formulas, the translation time is not included in the measured time. To reproduce the benchmark is to run % ./stutter_bench.sh to create bench_formulas.csv and bench_randgraph.csv, and then explore these data the provided ipython notbook % ipython notebook --pylab=inline stutter.ipynb The time in bench_formulas.csv is reported in microseconds, while the time in bench_randgraph.csv is in seconds.