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🧩 Analysis chain🏁 Script executed: Length of output: 12349 @DipayanDasgupta, great fix for the infinite loop issue! The bounded loop approach is solid and the fallback mechanism is well-implemented. Here's my detailed feedback with suggestions for improvements: ✅ What Works Well
🔧 Suggested Improvements1. Add Comprehensive Unit Tests (Critical)No tests were found for def test_select_random_empty_cell_full_grid():
"""Test that full grid raises IndexError instead of hanging."""
grid = OrthogonalMooreGrid((5, 5), capacity=1)
# Fill all cells
for cell in grid.all_cells:
cell.add_agent(SomeAgent())
with pytest.raises(IndexError):
grid.select_random_empty_cell()
def test_select_random_empty_cell_sparse_grid():
"""Test random selection on sparse grid completes quickly."""
grid = OrthogonalMooreGrid((100, 100))
# Should find empty cell quickly without fallback
cell = grid.select_random_empty_cell()
assert cell.is_empty
def test_select_random_empty_cell_nearly_full():
"""Test behavior when grid is 99% full."""
grid = OrthogonalMooreGrid((10, 10), capacity=1)
cells = list(grid.all_cells)
# Fill all but one cell
for cell in cells[:-1]:
cell.add_agent(SomeAgent())
empty_cell = grid.select_random_empty_cell()
assert empty_cell == cells[-1]2. Make Max Attempts ConfigurableThe magic number def __init__(self, ..., max_empty_search_attempts: int = 50):
...
self._max_empty_search_attempts = max_empty_search_attempts
def select_random_empty_cell(self) -> T:
if self._try_random:
for _ in range(self._max_empty_search_attempts):
cell = self.all_cells.select_random_cell()
if cell.is_empty:
return cell
return super().select_random_empty_cell()Alternative: Make it a class constant 3. Improve DocumentationThe comments could be more explicit: def select_random_empty_cell(self) -> T:
"""Select a random empty cell from the grid.
Uses a heuristic approach: attempts random sampling up to 50 times (O(1) per attempt),
then falls back to exhaustive search (O(N) where N is total cells).
Returns:
T: A random empty cell
Raises:
IndexError: If the grid is completely full
See Also:
https://github.com/mesa/mesa/issues/1052
https://github.com/mesa/mesa/issues/2968
"""4. Consider Adaptive Approach (Optional Enhancement)For very large grids, 50 attempts might be insufficient before hitting the expensive O(N) fallback. Consider: # Scale attempts with grid size (e.g., log or sqrt)
max_attempts = min(50, max(10, int(math.log10(len(self._cells)) * 10)))5. Add Performance Metrics (Optional)For debugging and optimization, consider tracking fallback usage: # In __init__
self._empty_cell_search_stats = {"fast_path": 0, "fallback": 0}
# In select_random_empty_cell
if self._try_random:
for _ in range(50):
cell = self.all_cells.select_random_cell()
if cell.is_empty:
self._empty_cell_search_stats["fast_path"] += 1
return cell
self._empty_cell_search_stats["fallback"] += 1
return super().select_random_empty_cell()6. Consider Performance Trade-off DocumentationAdd a note about when to toggle # When grid is >98% full, set _try_random=False to skip random attempts
# grid._try_random = FalsePriority Recommendations
The fix is production-ready as-is, but tests would greatly increase confidence in the implementation! ✅ Actions performedReview triggered.
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Performance benchmarks:
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WalkthroughThe Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~8 minutes Poem
Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (1)
mesa/discrete_space/grid.py (1)
151-154: Bounded loop successfully prevents infinite loops.The fix correctly limits random sampling attempts, ensuring termination in all cases. The logic preserves the O(1) fast path for sparse grids while guaranteeing the method will never hang.
Consider making the attempt limit configurable.
The hardcoded value of 50 works well, but making it configurable would improve flexibility for different use cases (e.g., very large grids or performance tuning).
💡 Options for making the limit configurable
Option 1: Class constant
class Grid(DiscreteSpace[T], HasPropertyLayers): """Base class for all grid classes.""" MAX_RANDOM_ATTEMPTS = 50 # Maximum attempts before fallback to deterministic search # ... rest of class ... def select_random_empty_cell(self) -> T: if self._try_random: for _ in range(self.MAX_RANDOM_ATTEMPTS): # ... rest of methodOption 2: Constructor parameter
def __init__( self, dimensions: Sequence[int], torus: bool = False, capacity: float | None = None, random: Random | None = None, cell_klass: type[T] = Cell, max_random_attempts: int = 50, ) -> None: # ... existing init code ... self._max_random_attempts = max_random_attemptsOption 3 (minimal): Inline comment
for _ in range(50): # Attempt limit chosen as balance between performance and reliability
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📒 Files selected for processing (1)
mesa/discrete_space/grid.py
🧰 Additional context used
🧬 Code graph analysis (1)
mesa/discrete_space/grid.py (3)
mesa/discrete_space/discrete_space.py (2)
all_cells(151-155)select_random_empty_cell(168-170)mesa/discrete_space/cell_collection.py (1)
select_random_cell(101-103)mesa/discrete_space/cell.py (1)
is_empty(130-132)
🔇 Additional comments (2)
mesa/discrete_space/grid.py (2)
147-149: LGTM! Clear documentation of the fix.The comments effectively explain the rationale for the bounded loop and link to the relevant issue for future reference.
156-158: LGTM! Fallback ensures deterministic termination.The fallback to the parent class's deterministic implementation correctly handles both the case where random sampling exhausts its attempts and when the grid is truly full (raising IndexError as expected).
| def select_random_empty_cell(self) -> T: # noqa | ||
| # FIXME:: currently just a simple boolean to control behavior | ||
| # FIXME:: basically if grid is close to 99% full, creating empty list can be faster | ||
| # FIXME:: note however that the old results don't apply because in this implementation | ||
| # FIXME:: because empties list needs to be rebuild each time | ||
| # This method is based on Agents.jl's random_empty() implementation. See | ||
| # https://github.com/JuliaDynamics/Agents.jl/pull/541. For the discussion, see | ||
| # https://github.com/mesa/mesa/issues/1052 and | ||
| # https://github.com/mesa/mesa/pull/1565. The cutoff value provided | ||
| # is the break-even comparison with the time taken in the else branching point. | ||
| # | ||
| # FIX: Added a limit (50 attempts) to prevent infinite loops on full grids. | ||
| # See https://github.com/mesa/mesa/issues/2968 | ||
| if self._try_random: | ||
| while True: | ||
| for _ in range(50): | ||
| cell = self.all_cells.select_random_cell() | ||
| if cell.is_empty: | ||
| return cell | ||
| else: | ||
| return super().select_random_empty_cell() | ||
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| # Fallback to the robust parent method (O(N)) if random sampling fails | ||
| # or if the grid is full. | ||
| return super().select_random_empty_cell() |
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Add dedicated unit tests for select_random_empty_cell() in the Grid class.
While select_random_empty_cell() is used in existing tests (e.g., test_agents_property), there are no dedicated unit tests for the Grid class method being fixed. Comprehensive test coverage is essential for this critical bug fix, especially to prevent regressions on edge cases.
Add tests to cover:
- Full grid: Verify that the fallback to
super().select_random_empty_cell()is called when all cells are occupied. - Sparse grid: Verify that an empty cell is returned quickly when grid has many empty cells.
- Nearly-full grid: Verify that the 50-attempt limit and fallback work correctly when empty cells are rare.
_try_random=False: Verify that the fallback path is used when random sampling is disabled.
🧰 Tools
🪛 Ruff (0.14.10)
143-143: Unused blanket noqa directive
Remove unused noqa directive
(RUF100)
🤖 Prompt for AI Agents
mesa/discrete_space/grid.py around lines 143-158: add a new pytest file (e.g.,
tests/test_grid_select_random_empty_cell.py) with four focused unit tests: (1)
Full grid: create a grid with every cell occupied, monkeypatch/spy the parent
Grid.select_random_empty_cell to assert it is called and that the method returns
its value; (2) Sparse grid: create a large grid with many empty cells and assert
select_random_empty_cell returns an empty cell quickly (no fallback call); (3)
Nearly-full grid: populate the grid so empty cells are rare (e.g., one empty
cell) and assert the method either finds the empty cell or falls back after 50
attempts by spying the parent fallback was invoked; (4) _try_random=False: set
grid._try_random = False and assert the parent fallback is invoked immediately.
Use pytest fixtures and monkeypatch to spy the superclass fallback (patch the
base class method or use a small subclass wrapper) and assert correct behavior
and returned cell validity for each case.
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Thanks for the feedback! I have implemented the requested changes: |
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| # See https://github.com/mesa/mesa/issues/2968 | ||
| if self._try_random: | ||
| while True: | ||
| for _ in range(50): |
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I suggest turning this into an attribute. As a general rule, it's bad to have implicit constants. By making this an attribute (e.g., self._n_tries_random), users can also potentially control the behavior.
| @@ -0,0 +1,84 @@ | |||
| """Unit tests for Grid.select_random_empty_cell heuristic behavior.""" | |||
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please include these in the overall test file rather than adding new test files.
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@quaquel implemented it, _n_tries_random is now an instance attribute (default 50). |
Are you sure you commited this change because I still see the old test file under files changed at the top. |
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| @@ -1,4 +1,4 @@ | |||
| """Test Solara visualizations.""" | |||
| """Test Solara visualizations - Modern API.""" | |||
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This should not be part of the PR. Please remove any changes you have made here (probably some branching issue?)
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Ya im sorry, I was working on another branch , and probably forgot to switch, which caused all this confusion. I'm so sorry.
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I have taken the liberty to make a few additional changes to your PR so it can be merged, which I will do later today. Thanks so far. |
Closes #2968
This PR fixes the infinite loop in
Grid.select_random_empty_cellwhen the grid is full, while optimizing for performance on large grids. It includes a comprehensive regression test suite.The Issue
The original implementation used an unbounded
while Trueloop to find a random empty cell. On a full grid, this condition is never met, causing the simulation to hang indefinitely.The Solution: Heuristic Fallback
Instead of checking every cell (O(N)) or looping indefinitely, this implementation uses a constant-time heuristic:
super().select_random_empty_cell().The parent method correctly builds a list of empty cells and selects one, or raises an
IndexErrorif the grid is truly full.Changes
mesa/discrete_space/grid.pyto replacewhile Truewith a bounded loop.tests/discrete_space/test_grid_sampling.pywith comprehensive coverage:IndexErroris raised._try_random=Falseforces immediate fallback.Verification
rufflinting and formatting.UserWarningregarding RNG is suppressed in tests by using explicit fixtures.