Insert symmetrical debug logs into rshogi and YaneuraOu to analyze search node count discrepancies.
npx skills add https://github.com/SH11235/rshogi --skill yo-measure
Please help me install this Agent Skill. Skill: yo-measure Source: https://github.com/SH11235/rshogi/tree/main/.claude/skills/yo-measure Command: npx skills add https://github.com/SH11235/rshogi --skill yo-measure
This Skill pinpoints the exact cause of discrepancies in search node counts between the rshogi and YaneuraOu Shogi engines, enabling precise debugging and performance optimization.
Use the yo-measure skill to compare node counts for rshogi and YaneuraOu starting from the 'startpos' with a depth of 14, focusing on root move breakdowns.
High-intent search queries and answers about installing and using this skill.
Debug Shogi engine search node count discrepancies by inserting detailed, symmetrical debug logs into both rshogi and YaneuraOu codebases to trace execution flow and compare variable states. You achieve precise localization of root causes through step-by-step drill-downs and comparative analysis of execution traces.
Different search node counts in Shogi engines stem from subtle differences in move ordering, pruning techniques, transposition table usage, or evaluation function nuances. Comparative analysis of execution traces identifies whether these algorithmic variations cause the performance discrepancies.
Compare rshogi and YaneuraOu node counts by running the yo-measure skill from the 'startpos' with a depth of 14, focusing on root move breakdowns. This side-by-side comparison identifies exact algorithmic divergences in search behavior.
Yes, you can toggle specific Shogi engine features to isolate search algorithm differences. Feature toggling allows you to disable specific pruning techniques or evaluation functions, enabling precise step-by-step drill-downs to achieve perfect alignment in engine behavior.
Achieve perfect alignment in Shogi engine behavior by inserting detailed logging into both codebases and performing comparative analysis of execution traces. Feature toggling and step-by-step drill-downs ultimately aim to match rshogi and YaneuraOu search node counts exactly.
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