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| e.g., Hitori solver checks if the current solution satisfies the connectivity constraint. | ||
| If satisfied, return True. | ||
| """ | ||
| pass |
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Abstract method signature mismatches its only call site
Medium Severity
The _check_and_add_cuts abstract method in IterativePuzzleSolver declares a current_solution_values: Dict parameter, but solve() calls it as self._check_and_add_cuts() with no arguments. The HitoriSolver implementation also takes no parameter (def _check_and_add_cuts(self) -> bool). Any future subclass following the abstract signature would get a TypeError at runtime. Additionally, the docstring says to return False when not satisfied and True when satisfied, but the actual convention (matching the call site) is the opposite.
Additional Locations (2)
| # Default behavior: run all if no arguments specified | ||
| target_puzzle = args.puzzle | ||
| run_all = args.all | ||
| run_all = args.all or (not target_puzzle and not run_all) |
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Self-referencing variable causes NameError on default path
Medium Severity
run_all = args.all or (not target_puzzle and not run_all) references run_all before it has been assigned. When args.all is False and target_puzzle is None (the default case of running with no arguments), Python's short-circuit evaluation reaches not run_all and raises a NameError. The old code correctly used run_all = args.all followed by a separate conditional.
| def _add_inside_outside_vars(self): | ||
| R, C = self.num_rows, self.num_cols | ||
| self.face_rows = max(0, 2 * R - 2) | ||
| self.face_cols = max(0, 2 * C - 2) |
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Castle Wall face grid too small for border cells
High Severity
face_rows = 2 * R - 2 and face_cols = 2 * C - 2 produce a face grid that cannot represent cells in the last row or column. Cell (r, c) maps to face index (2*r, 2*c), but for r = R-1, 2*r = 2*R-2 = face_rows, which is out of bounds. The clamping in _face_index_for_cell maps these border cells to an adjacent cell's face element, causing incorrect inside/outside constraints. The test input has a clue at row 9 of a 10×10 grid that is affected.
Additional Locations (1)
| # puzzle_type=self.puzzle_type, | ||
| # puzzle_data=vars(self).copy(), | ||
| # solution_data=solution_dict | ||
| # ) |
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Hundreds of lines of commented-out code committed
Low Severity
hitori.py has 223 lines and kurotto.py has 98 lines of fully commented-out old implementations at the top of their files. ortools_utils.py has an 80-line commented-out alternative of add_connectivity_cut_node_based. These are previous implementations that have been replaced and add significant dead code that makes the files harder to navigate and maintain.
Additional Locations (2)
1 participant
Note
Medium Risk
Adds multiple new solvers and changes core solving infrastructure (new iterative MIP/cut loop) and the
hitoriimplementation, which can affect correctness/performance and introduce new failure modes in solving/verification.Overview
Bumps PuzzleKit to
0.3.1and expands supported puzzle types by registering new parsers/verifiers/viz handlers and adding new solver implementations (e.g.castle_wall,mejilink,mid_loop,kurotto,nurimisaki,aqre,canal_view, plusslitherlink_duality).Introduces an
IterativePuzzleSolverbase that uses OR-Tools MIP (pywraplp/SCIP) with cutting-plane iterations, adds MIP analytics and connectivity-cut utilities, and rewiresHitoriSolverto the new iterative cut-based approach.Updates tooling/docs:
scripts/benchmark.pynow consumes unified{Puzzle}_dataset.jsonassets and only verifies when a non-empty solution is present; addsscripts/gen_mkdocs_nav.pyand nav markers inmkdocs.yml, tweaks plotting scaling, refreshes quick-start/README references, and adds a metadata-driven test harness with per-puzzle smoke tests.Written by Cursor Bugbot for commit 483ca80. This will update automatically on new commits. Configure here.