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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.
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/sys/dev/acpi/acpibtn.c:292:12: error: undeclared identifier 'pwr_action' usage
68-летнюю Шэрон Стоун заподозрили в пластической операции с комментарием «появился неестественный взгляд»20:38