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benchmark-first

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Mis à jour17 avril 2026 à 16:32

Benchmark converted code against the frozen upstream implementation before making performance claims.

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Source

strmt7

strmt7/ome-zarr-C

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Analystes en assurance qualité des logiciels et testeursProfessions informatiques et mathématiques·SOC 15-1253

SKILL.md

readonly

name	benchmark-first
description	Benchmark converted code against the frozen upstream implementation before making performance claims.
origin	repo-local

Benchmark First

Use this skill after parity has been demonstrated for a converted surface.

Rules

Compare the upstream implementation and the converted implementation on the same inputs and same machine class.
Verify parity on the exact benchmark input before timing it.
Prefer representative real data. If real data is unavailable, document the synthetic fallback clearly.
Use the narrowest suite, group, and match filters that isolate the edited hot path before widening to larger reports.
Run repeated measurements and report medians or geometric means, not one-off wall-clock numbers.
Report time terms first: Python time, native C++ time, time saved per operation, and native C++ time reduction. If a ratio is included, label it as native C++ speedup over Python (python_time / native_cpp_time).
Report version and environment details with the results.
If the benchmark points to boundary overhead instead of native arithmetic, load cpp-performance-optimization before changing code.

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name	benchmark-first
description	Benchmark converted code against the frozen upstream implementation before making performance claims.
origin	repo-local

Benchmark First

Use this skill after parity has been demonstrated for a converted surface.

Rules

Compare the upstream implementation and the converted implementation on the same inputs and same machine class.
Verify parity on the exact benchmark input before timing it.
Prefer representative real data. If real data is unavailable, document the synthetic fallback clearly.
Use the narrowest suite, group, and match filters that isolate the edited hot path before widening to larger reports.
Run repeated measurements and report medians or geometric means, not one-off wall-clock numbers.
Report time terms first: Python time, native C++ time, time saved per operation, and native C++ time reduction. If a ratio is included, label it as native C++ speedup over Python (python_time / native_cpp_time).
Report version and environment details with the results.
If the benchmark points to boundary overhead instead of native arithmetic, load cpp-performance-optimization before changing code.