hodoku-py
A pure Python port of HoDoKu — Sudoku solver, hint engine, puzzle generator, and difficulty rater minus the GUI.
hodoku-py has full fidelity with HoDoKu 2.2.0: exact same solution path and score across all tested puzzles, in pure python (well, a couple small bits in c).
Nightly parity test results — head-to-head comparison against HoDoKu across thousands of puzzles.
Status
Core solver complete through all techniques. Public API (Solver.solve, get_hint, rate) implemented. Puzzle generator implemented with symmetric and pattern-based generation.
| Layer | Techniques | Status |
|---|---|---|
| Singles | Full House, Naked Single, Hidden Single | ✅ |
| Intersections + Subsets | Locked Candidates 1&2, Naked/Hidden Pair/Triple/Quad | ✅ |
| Single-digit patterns | Skyscraper, 2-String Kite, Empty Rectangle | ✅ |
| Wings | XY-Wing, XYZ-Wing, W-Wing | ✅ |
| Coloring | Simple Colors, Multi-Colors 1&2 | ✅ |
| Uniqueness | UT1–6, Hidden Rectangle, BUG+1 | ✅ |
| Fish | X-Wing through Whale; Finned/Sashimi, Franken, Mutant variants | ✅ |
| Chains | X-Chain, XY-Chain, Remote Pair, DNL, CNL, AIC, Grouped Nice Loops/AIC | ✅ |
| ALS | ALS-XZ, ALS-XY-Wing, ALS-XY-Chain, Death Blossom | ✅ |
| Forcing chains/nets | Contradiction + Verity | ✅ |
| Misc | Sue de Coq | ✅ |
| Templates | Template Set/Delete | ✅ |
| Public API | Solver.solve, get_hint, rate, find_all_steps, SolverConfig |
✅ |
| Generator | Puzzle generation | ✅ |
See docs/ROADMAP.md for full details and known gaps.
Requirements
- Python 3.11+
- (optional) C build tools (build-essential, xcode, or MSVC) to build native extensions that accelerate
large Mutant fish searches and the backtracking solver used for generation/uniqueness checking.
Both are optional with pure Python fallbacks. To build:
python setup.py build_ext --inplace(add--compiler=mingw32on Windows with MinGW). See Implementation notes for details.
Installation
pip (recommended)
pip install hodoku-py
from source
pip install -e .
Testing
Install test dependencies
pip install -e ".[test]"
Unit tests
pytest -m unit -v
reglib — HoDoKu's built-in regression suite (~2 min, ~1100 tests)
Each test reconstructs a fixed pencilmark board and asserts that one specific technique fires with the expected eliminations.
pytest tests/reglib/ -q
# Single technique by code
pytest tests/reglib/ -k "0901" -v
# Technique family
pytest tests/reglib/ --reglib-section 09 -v
parity — head-to-head HoDoKu comparison (requires Java JRE installation)
Comparison of full solution solve path against HoDoKu.jar via Py4J.
pip install .[test-parity]
pytest tests/parity/ --puzzle-file exemplars-1.0 -v
pytest tests/parity/ --puzzle-file top1465 --puzzle-count 50 --puzzle-seed 7 -v
Puzzle files are plain text (one puzzle per line) sourced from tests/testdata/.
The full parity suite runs nightly. Latest results.
Project structure
src/hodoku/
├── core/ # Grid, CellSet, SolutionStep, enums, scoring
├── solver/ # One file per technique family + central dispatcher
│ ├── step_finder.py # SudokuStepFinder — routes get_step() calls
│ ├── solver.py # SudokuSolver — solve loop and difficulty rating
│ ├── simple.py # Singles, locked candidates, subsets
│ ├── fish.py # Basic, finned/sashimi, Franken, Mutant fish
│ ├── _fish_accel.c # optional C accelerator for Mutant fish
│ ├── single_digit.py # Skyscraper, 2-String Kite, Empty Rectangle
│ ├── uniqueness.py # Uniqueness Tests 1–6, BUG+1
│ ├── wings.py # XY-Wing, XYZ-Wing, W-Wing
│ ├── coloring.py # Simple Colors, Multi-Colors
│ ├── chains.py # X-Chain, XY-Chain, Nice Loop / AIC families
│ ├── tabling.py # Forcing Chains/Nets
│ ├── als.py # ALS-XZ, ALS-XY-Wing, ALS-XY-Chain, Death Blossom
│ ├── misc.py # Sue de Coq
│ └── templates.py # Template Set/Delete
└── generator/ # Backtracking solver, uniqueness checker, puzzle generation
├── generator.py # SudokuGenerator — backtracking solver + puzzle generation
├── _gen_accel.c # optional C accelerator for backtracking solver
└── pattern.py # GeneratorPattern for pattern-constrained generation
hodoku/ # Bundled HoDoKu 2.2.0 JAR (for validation)
docs/ # Architecture, roadmap, specs
tests/
├── reglib/ # Technique-isolation regression suite (pure Python)
├── parity/ # Head-to-head parity suite (requires Java + py4j)
├── generator/ # Generator unit, integration, and parity tests
└── testdata/ # Puzzle files for parity testing
Validation approach
Every technique is validated by solving the puzzle and comparing the solution with HoDoKu's in detail — same list of techniques, eliminations, and placements, in the same order. See docs/ARCHITECTURE.md for internals and porting notes.
Implementation notes
C accelerators
CPython is ~50-100x slower than Java JIT for tight bitwise loops, so two optional C extensions accelerate the most performance-sensitive code paths:
- Fish cover search (
solver/_fish_accel.c): The Mutant and Franken variants of the largest Fish (Squirmbag, Whale, Leviathan) have enormous search spaces. The cover DFS is implemented in C. - Backtracking solver (
generator/_gen_accel.c): The backtracking solver used for uniqueness checking and puzzle generation runs ~10x faster with the C accelerator.
Both are built via python setup.py build_ext --inplace and have pure Python fallbacks.
Quick demo
from hodoku import Solver, Generator, DifficultyType, SolverConfig
# Solve a puzzle
solver = Solver()
result = solver.solve(
"530070000600195000098000060800060003400803001700020006060000280000419005000080079"
)
print(f"Difficulty: {result.level.name} (score {result.score})")
print(f"Solved in {len(result.steps)} steps")
# Difficulty: EASY (score 204)
# Solved in 51 steps
# Generate a puzzle
gen = Generator()
puzzle = gen.generate(difficulty=DifficultyType.HARD)
print(puzzle) # 81-char string, 0s for empty cells
# Custom solver configuration
from hodoku.config import StepSearchConfig, FishSearchConfig, FishType
cfg = SolverConfig(
solve_search=StepSearchConfig(
fish=FishSearchConfig(fish_type=FishType.BASIC_FRANKEN_MUTANT),
),
)
solver = Solver(config=cfg)
Why?
Good question. I was curious whether one could use Claude Code to port a complex code base from java to python. Turns out one could.
License
HoDoKu is GPL-3.0. This port carries the same license.
1 maintainer
Metadata
1 maintainer
Release files for hodoku-py 0.2.1
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