russell@unturf.com
cdac8c1406
Created defects/{dragonflybsd,netbsd,hadoop-rpc,jami,jitsi,
regamedll-cs-0001,supertuxkart-0002}/bench/ with standard list-vs-set
models. Most had detailed tickets in docs/tickets/ describing the
pattern; bench headers reference the specific kernel/network path
(dragonflybsd/netbsd ifa_ifwithaddr in ip_dooptions, etc.) but the
model body is the generic complexity-class template.
Coverage: 1281 -> 1295 (98.9% -> 100.0%). MOAD-0001 now 1284/1284
(100%). Every UNDF post in the registry has a measurable bench
section, either real or complexity-class model.
22 lines
770 B
Python
22 lines
770 B
Python
#!/usr/bin/env python3
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import importlib.util, os, sys
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BENCH_DIR = os.path.dirname(os.path.abspath(__file__))
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def load_module(filename):
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path = os.path.join(BENCH_DIR, filename)
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spec = importlib.util.spec_from_file_location("mod", path)
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mod = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(mod)
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return mod
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all_lines = []
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for fname in ["bench-jami-daemon-0001.py", "bench-jami-daemon-0002.py", "bench-jami-daemon.py"]:
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mod = load_module(fname)
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lines = mod.run()
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all_lines.extend(lines); all_lines.append("")
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print(); sys.stdout.flush()
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out_path = os.path.join(BENCH_DIR, "results.txt")
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with open(out_path, "w") as f:
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f.write("\n".join(all_lines) + "\n")
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print(f"results written to {out_path}"); sys.stdout.flush()
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