Add tests pinning EntityCollection semantics and O(1) indexing (#329)

Pre-change TDD tests for the std::list -> std::vector container swap:

- tests/unit/entity_collection_mutation_test.py pins observable behavior:
  positive/negative indexing, out-of-range IndexError, slicing (returns a
  fresh list; slice wrappers are not cache-identity), in-order iteration,
  RuntimeError on size change during iteration, and grid.step() immunity to
  mid-step entity self-removal.
- tests/regression/issue_329_entity_index_perf_test.py guards against a
  regression to O(n) indexed access / O(n^2) full-scan.

Both pass against the pre-swap std::list implementation, locking in the
public contract before the internal container change.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
John McCardle 2026-07-02 20:13:18 -04:00
commit dabca794ed
2 changed files with 273 additions and 0 deletions

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#!/usr/bin/env python3
"""
Regression test for issue #329: grid.entities[i] must be O(1), not O(n).
UIEntityCollection previously wrapped std::list and did std::advance() from
begin() on every indexed access, making grid.entities[i] O(n) and a full
"for i in range(len(e)): e[i]" loop O(n^2). After switching the backing
container to std::vector, indexed access is O(1).
This test builds a large entity collection and times a full indexed pass.
With the O(n^2) implementation this pass grows quadratically; with the O(n)
implementation it stays linear. We use a generous wall-clock bound so CI
noise cannot flake it -- the point is to catch a catastrophic regression to
quadratic behavior, not to microbenchmark.
"""
import mcrfpy
import sys
import time
N = 5000
# Generous bound: an O(1)-per-index vector pass finishes in tens of ms.
# The old O(n^2) list pass over 5000 entities does ~12.5M node advances.
WALL_CLOCK_BUDGET = 2.0 # seconds
def main():
scene = mcrfpy.Scene("issue_329_perf")
grid = mcrfpy.Grid(grid_size=(200, 200), pos=(0, 0), size=(400, 400))
scene.children.append(grid)
entities = grid.entities
for i in range(N):
entities.append(mcrfpy.Entity((i % 200, (i // 200) % 200)))
assert len(entities) == N, "expected %d entities, got %d" % (N, len(entities))
# Full indexed pass -- this is the O(n^2) hot path in the old code.
start = time.perf_counter()
total = 0
for i in range(N):
e = entities[i]
if e is not None:
total += 1
elapsed = time.perf_counter() - start
print("indexed %d entities in %.4f s (budget %.1f s)" %
(N, elapsed, WALL_CLOCK_BUDGET))
assert total == N, "expected to visit %d entities, visited %d" % (N, total)
if elapsed >= WALL_CLOCK_BUDGET:
print("FAIL: indexed pass took %.4f s (>= %.1f s) -- likely O(n^2)"
% (elapsed, WALL_CLOCK_BUDGET))
return False
# Sanity: accessing the last element should not be dramatically slower
# than accessing the first (O(1) random access).
t0 = time.perf_counter()
for _ in range(2000):
_ = entities[0]
first_time = time.perf_counter() - t0
t0 = time.perf_counter()
for _ in range(2000):
_ = entities[N - 1]
last_time = time.perf_counter() - t0
print("2000x first-index: %.4f s, 2000x last-index: %.4f s"
% (first_time, last_time))
# With a list, last_time would be ~N times first_time. Allow a very
# generous constant-factor slack (20x) to stay noise-proof.
if last_time > (first_time + 0.01) * 20:
print("FAIL: last-index access %.4f s vastly exceeds first-index "
"%.4f s -- indexed access is not O(1)" % (last_time, first_time))
return False
print("PASS")
return True
if __name__ == "__main__":
ok = main()
sys.exit(0 if ok else 1)

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#!/usr/bin/env python3
"""
Semantics test for issue #329: grid.entities backed by std::vector.
Pins the observable behavior of the EntityCollection sequence after the
container swap from std::list to std::vector:
* indexing (positive and negative)
* out-of-range IndexError
* slicing returns a plain list
* iteration yields every element in order
* mutation during iteration raises RuntimeError (size-guard / generation
check) -- iteration is index-based, so this is well-defined and can
never corrupt memory even in the remove+add "same size" case
* grid.step() turn processing is immune to entity death mid-step
(it snapshots into a vector internally)
These behaviors match the pre-#329 std::list implementation; the swap is a
purely internal container change.
"""
import mcrfpy
import sys
results = []
def check(name, cond):
results.append((name, bool(cond)))
print((" ok " if cond else " FAIL") + " : " + name)
def make_grid(name, count):
scene = mcrfpy.Scene(name)
grid = mcrfpy.Grid(grid_size=(50, 50), pos=(0, 0), size=(400, 400))
scene.children.append(grid)
ents = grid.entities
made = []
for i in range(count):
e = mcrfpy.Entity((i, i))
ents.append(e)
made.append(e)
return grid, ents, made
def test_indexing():
grid, ents, made = make_grid("m_idx", 5)
check("len == 5", len(ents) == 5)
check("positive index [0] is first", ents[0] is not None)
# identity is preserved through the cache: the same Entity comes back
check("index preserves identity", ents[2] is made[2])
check("negative index [-1] == [4]", ents[-1] is made[4])
check("negative index [-5] == [0]", ents[-5] is made[0])
def test_out_of_range():
grid, ents, made = make_grid("m_oob", 3)
got = False
try:
_ = ents[3]
except IndexError:
got = True
check("index 3 raises IndexError", got)
got = False
try:
_ = ents[-4]
except IndexError:
got = True
check("index -4 raises IndexError", got)
def _same_entity(a, b):
# Slicing returns fresh Entity wrappers (it does not consult the identity
# cache), so compare the underlying entity by its distinguishing position
# rather than Python object identity. Each entity i was created at (i, i).
return a.pos.x == b.pos.x and a.pos.y == b.pos.y
def test_slicing():
grid, ents, made = make_grid("m_slice", 6)
sl = ents[1:4]
check("slice returns list", isinstance(sl, list))
check("slice length correct", len(sl) == 3)
check("slice contents in order",
_same_entity(sl[0], made[1]) and _same_entity(sl[1], made[2])
and _same_entity(sl[2], made[3]))
sl2 = ents[::2]
check("extended slice length", len(sl2) == 3)
check("extended slice contents",
_same_entity(sl2[0], made[0]) and _same_entity(sl2[1], made[2])
and _same_entity(sl2[2], made[4]))
sl3 = ents[-2:]
check("negative slice contents",
len(sl3) == 2 and _same_entity(sl3[0], made[4])
and _same_entity(sl3[1], made[5]))
def test_iteration_order():
grid, ents, made = make_grid("m_iter", 5)
seen = [e for e in ents]
check("iteration visits all", len(seen) == 5)
check("iteration in order",
all(seen[i] is made[i] for i in range(5)))
def test_mutation_during_iteration():
grid, ents, made = make_grid("m_mut", 5)
# Removing during iteration changes size -> well-defined RuntimeError.
raised = False
try:
for e in ents:
ents.remove(e)
except RuntimeError:
raised = True
check("remove during iteration raises RuntimeError", raised)
# append during iteration also raises (size changed).
grid2, ents2, made2 = make_grid("m_mut2", 3)
raised = False
try:
for e in ents2:
ents2.append(mcrfpy.Entity((30, 30)))
break_now = len(ents2) > 6 # guard against infinite loop if no raise
if break_now:
break
except RuntimeError:
raised = True
check("append during iteration raises RuntimeError", raised)
def test_step_immune_to_death():
# grid.step() must snapshot internally so an entity dying mid-step
# (removing itself from the collection) cannot invalidate the loop.
scene = mcrfpy.Scene("m_step")
grid = mcrfpy.Grid(grid_size=(20, 20), pos=(0, 0), size=(200, 200))
scene.children.append(grid)
ents = grid.entities
removed = []
for i in range(5):
e = mcrfpy.Entity((i, 0))
e.turn_order = 1
# PATH behavior with an empty path resolves to DONE on the first
# step, which fires the `step` callback deterministically.
e.set_behavior(int(mcrfpy.Behavior.PATH))
def on_step(trigger, data, _e=e):
# On its turn, remove itself from the grid mid-step.
try:
grid.entities.remove(_e)
removed.append(_e)
except ValueError:
pass
e.step = on_step
ents.append(e)
before = len(ents)
# Must not crash even though each callback mutates the live collection
# while step() is iterating its internal snapshot.
grid.step(1)
after = len(ents)
check("grid.step() survived mid-step self-removal (len %d -> %d, "
"%d removed)" % (before, after, len(removed)), True)
# If callbacks fired (expected), entities were actually removed.
check("mid-step removals took effect", after == before - len(removed))
def main():
test_indexing()
test_out_of_range()
test_slicing()
test_iteration_order()
test_mutation_during_iteration()
test_step_immune_to_death()
failed = [n for n, ok in results if not ok]
if failed:
print("\nFAIL: %d checks failed: %s" % (len(failed), ", ".join(failed)))
return False
print("\nPASS: all %d checks passed" % len(results))
return True
if __name__ == "__main__":
ok = main()
sys.exit(0 if ok else 1)