John McCardle
859730f02d
Add the DESIGN.md (spec copy + implementation deviations), the trials package (Trial base + ordered registry + six stress trials: entity swarm, animation storm, grid titan, pathfinder rush, ui avalanche, sightline siege), and the RampController/scoring logic. All pure Python under tests/benchmarks/gauntlet/. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
"""Trial 4: PATHFINDER RUSH -- A* query stress.
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A static maze grid; every tick issues Q grid.find_path queries between random
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walkable pairs. Load = queries per tick.
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"""
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import random
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import mcrfpy
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from . import Trial
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GRID_W, GRID_H = 60, 40
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CELL = 15
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ARENA_X, ARENA_Y = 60, 120
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class PathfinderRush(Trial):
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key = "pathfinder_rush"
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name = "PATHFINDER RUSH"
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unit = "queries/tick"
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accent = (76, 194, 110)
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description = "A* find_path queries across a static maze"
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base_load = 5
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growth = 1.6
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def setup(self, scene, ui):
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super().setup(scene, ui)
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self.rng = random.Random(0x9A2E)
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self.queries = 0
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grid = mcrfpy.Grid(grid_size=(GRID_W, GRID_H),
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pos=(ARENA_X, ARENA_Y),
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size=(GRID_W * CELL, GRID_H * CELL))
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grid.zoom = CELL / 16.0
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grid.fill_color = mcrfpy.Color(10, 14, 20)
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floor = mcrfpy.ColorLayer(z_index=-1, name="floor")
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grid.add_layer(floor)
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floor.fill(mcrfpy.Color(40, 54, 44))
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wall_c = mcrfpy.Color(14, 20, 16)
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self.walkables = []
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for y in range(GRID_H):
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for x in range(GRID_W):
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c = grid.at(x, y)
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wall = (x == 0 or y == 0 or x == GRID_W - 1 or y == GRID_H - 1)
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# Pillar/room maze: isolated blockers keep the map connected but windy.
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if not wall and x % 4 == 2 and y % 3 == 1:
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wall = True
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c.walkable = not wall
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c.transparent = not wall
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if wall:
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floor.set((x, y), wall_c)
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else:
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self.walkables.append((x, y))
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ui.append(grid)
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self.grid = grid
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def set_load(self, level_value):
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self.queries = max(1, int(level_value))
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self.load = self.queries
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def tick(self, dt_ms):
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if self.grid is None:
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return
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w = self.walkables
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for _ in range(self.queries):
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a = w[self.rng.randrange(len(w))]
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b = w[self.rng.randrange(len(w))]
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self.grid.find_path(a, b)
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def teardown(self):
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self.grid = None
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self.walkables = []
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super().teardown()
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