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Actual oversight proves trickier to assess. If developers meticulously recorded time invested in design, implementation, debugging, and testing, we could aggregate these figures. Thankfully, such detailed tracking isn't standard practice, though we leave traces indicating invested effort: version control commits, collaboration thread comments, issue responses, etc.，这一点在winrar中也有详细论述
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The evaluation solver uses fixed settings: λ = 0.01, diversity bonus = 0.0, temperature = 0.001. It executes more internal steps (starting at 8000, scaling with population size) and returns the final strategy instead of the average, providing a responsive, low-noise exploitability measure. This training/evaluation difference emerged from the search, not human input.