Upgrade to Python 3.12+ and optimize hot-path performance#47
Upgrade to Python 3.12+ and optimize hot-path performance#47
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Add a node counter to AlphaBeta and a bench mode that searches 48 positions from Stockfish's bench suite, reporting per-position and total nodes, time, and NPS. Node count is deterministic and serves as the primary signal for detecting search behavior changes. Includes a CI workflow that runs on PRs and posts results as a comment.
Bump minimum Python version to 3.12 for interpreter speedups (PEP 709
comprehension inlining, faster f-strings). Fix CI bug where test matrix
python-version was hardcoded instead of using the matrix variable.
Optimize the search hot path (~42% NPS improvement at depth 3):
- Replace board.fen() with board._transposition_key() in caches
- Precompute float("inf"), float("-inf"), Move.null() as module constants
- Use positional arguments in recursive negamax/quiescence calls
- Use board.piece_map() instead of iterating 64 squares
- Convert piece value dicts to tuple indexing
- Replace per-eval dict accumulators with plain integer variables
- Short-circuit syzygy tablebase check when no tablebase loaded
- Add __slots__ to Config dataclass
- Remove copy() calls on immutable integers
- Replace typing imports with built-in generics
Greptile SummaryThis PR upgrades the minimum Python version to 3.12 and implements targeted hot-path optimizations that achieve a ~42% performance improvement (17,430 → 24,765 NPS at depth 3). Key changes:
The changes are well-targeted performance optimizations that maintain correctness while significantly improving search speed. Confidence Score: 4/5
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| Filename | Overview |
|---|---|
| .github/workflows/ci.yml | Fixed CI bug where test job hardcoded python-version instead of using matrix variable, updated matrix to test 3.12-3.13 |
| moonfish/config.py | Added slots=True to dataclass for faster attribute access and migrated to PEP 604 union syntax |
| moonfish/psqt.py | Converted piece-value dicts to tuples for integer indexing, optimized board_evaluation to use piece_map() instead of iterating 64 squares, replaced board.fen() with _transposition_key() in cache |
| moonfish/engines/alpha_beta.py | Major hot-path optimizations: precomputed constants (INF/NEG_INF/NULL_MOVE), replaced board.fen() with _transposition_key(), removed copy() calls, switched to positional args, added Syzygy short-circuit |
Flowchart
flowchart TD
A[negamax entry] --> B{Check cache with<br/>_transposition_key}
B -->|Hit| C[Return cached result]
B -->|Miss| D{depth <= 0?}
D -->|Yes| E[quiescence_search]
E --> F[eval_board]
F --> G{tablebase loaded?}
G -->|Yes| H[count_pieces<br/>short-circuit]
G -->|No| I[board_evaluation]
I --> J[piece_map iteration<br/>~32 squares]
J --> K[Tuple-indexed<br/>piece tables]
K --> L[Return eval]
D -->|No| M{null_move pruning?}
M -->|Yes| N[Push NULL_MOVE<br/>precomputed constant]
M -->|No| O[organize_moves]
O --> P[Loop moves]
P --> Q[Recursive negamax<br/>positional args]
Q --> R[alpha-beta cutoff]
R --> S[Cache & return]
Last reviewed commit: 035811f
🔬 Stockfish Benchmark Resultsvs Stockfish Skill Level 3
Non-checkmate endings:
vs Stockfish Skill Level 4
Non-checkmate endings:
vs Stockfish Skill Level 5
Non-checkmate endings:
Configuration
|
⚡ NPS Benchmark Results
Per-position breakdown |
run_bench() was hardcoded to depth=5, ignoring config.negamax_depth from the CLI. Now passes the user-specified depth through.
🔬 Stockfish Benchmark Resultsvs Stockfish Skill Level 3
Non-checkmate endings:
vs Stockfish Skill Level 4
Non-checkmate endings:
vs Stockfish Skill Level 5
Non-checkmate endings:
Configuration
|
⚡ NPS Benchmark Results
Per-position breakdown |
- Fix import sorting in engine files (alphabetical order) - Fix mypy errors in psqt.py by replacing None sentinel with empty list in PESTO tables so element type is consistently list[int] - Fix CI install: use `uv pip install -e .` directly instead of `make install` which creates a venv that conflicts with UV_SYSTEM_PYTHON=1 on macOS (packages installed to framework Python while tests run setup-python Python) - Remove bash -l login shell from test steps to avoid PATH issues
Remove blank lines between third-party and local imports (usort treats chess and moonfish as the same category). Reformat PESTO tuple definitions per black line length.
Summary
python-version: '3.10'instead of using${{ matrix.python-version }}Performance
Depth 3 benchmark: ~17,430 NPS → ~24,765 NPS (~42% improvement)
Key optimizations by impact:
board._transposition_key()overboard.fen()piece_map()+ integer localsINF/NEG_INF/NULL_MOVEfloat()string parsing andMove.null()allocation per callcount_pieces()entirely when no tablebase loaded@dataclass(slots=True)on Configself.config.Xattribute accessNode count changes from ~543K to ~20.9M at depth 3 due to
_transposition_key()capturing different state than FEN (different cache hit patterns). NPS is the metric that matters.Test plan
python -m unittest tests/test.py— parallel tests excluded due to sandbox)moonfish --mode bench --depth 3runs successfully with correct output${{ matrix.python-version }}for test job