benchmark

NumSharp's NumPy-vs-NumSharp performance harness — the op/dtype/N matrix (C# BenchmarkDotNet vs a warm NumPy process), unified Managed/OpenBLAS backend profiles, and six appended subsystems (nditer, layout, operand, cast, fusion, strings), all in the NPY/NS convention. Use this whenever you add a benchmark for an np.* op, wire a C# benchmark to its NumPy twin, run the official suite or a subset, read/interpret the ratio matrix or history snapshots, add a whole subsystem, or debug a suspicious measurement (the Debug-taint 2x pitfall, the InProcessEmit toolchain). Trigger on: "benchmark", "add a benchmark", "how fast is np.add vs numpy", "run_benchmark.py", "BenchmarkDotNet", "NPY/NS ratio", "perf comparison", "benchmark np.add", "benchmark-report", "history snapshot", "why is my timing 2x slow". Reach for it before quoting any NumSharp-vs-NumPy speed number.