New Benchmark: Super Mario level

examples/benchmarks/mario_level.py

@@ -0,0 +1,309 @@
+from __future__ import annotations
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from typing import Annotated
+
+import numpy as np
+
+
+from examples.benchmarks.benchmark import Benchmark, example_run
+from geneticengine.grammar.grammar import extract_grammar
+from geneticengine.grammar.grammar import Grammar
+from geneticengine.grammar.metahandlers.ints import IntRange
+from geneticengine.grammar.metahandlers.lists import ListSizeBetween
+from geneticengine.grammar.metahandlers.vars import VarRange
+from geneticengine.problems import MultiObjectiveProblem, Problem
+
+
+X = Annotated[int, IntRange(5, 95)]
+Y = Annotated[int, IntRange(3, 5)]
+W = Annotated[int, IntRange(3, 15)]
+Wc = Annotated[int, IntRange(3, 15)]
+Wg = Annotated[int, IntRange(2, 5)]
+Wb = Annotated[int, IntRange(2, 7)]
+H = Annotated[int, IntRange(2, 3)]
+
+
+# Based on Evolving Levels for Super Mario Bros Using Grammatical Evolution
+
+
+class Chunk(ABC):
+
+    @abstractmethod
+    def centrail_point(self) -> list[tuple[float, float]]: ...
+
+    @abstractmethod
+    def place_in(self, map: np.ndarray): ...
+
+
+@dataclass
+class Platform(Chunk):
+    x: X
+    y: Y
+    w: W
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x + self.w / 2, self.y + 0.5)
+        return [c1]
+
+    def place_in(self, map: np.ndarray):
+        # place the tube itself
+        for i in range(0, self.w):
+            map[self.x + i, self.y] += 1
+
+
+@dataclass
+class Hill(Chunk):
+    x: X
+    y: Y
+    w: W
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x + self.w / 2, self.y + 0.5)
+        return [c1]
+
+    def place_in(self, map: np.ndarray):
+        # place the tube itself
+        for i in range(0, self.w):
+            map[self.x + i, self.y] += 1
+
+
+@dataclass
+class Gap(Chunk):
+    x: X
+    y: Y
+    wg: Wg
+    wbefore: W
+    wafter: W
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x - self.wbefore / 2, self.y + 0.5)
+        c2 = (self.x - self.wbefore + self.wg + self.wafter / 2, self.y + 0.5)
+        return [c1, c2]
+
+    def place_in(self, map: np.ndarray):
+
+        # place platform before
+        for i in range(0, self.wbefore):
+            map[self.x - i, self.y] += 1
+
+        # place platform after
+        for i in range(0, self.wafter):
+            map[self.x + i, self.y] += 1
+
+
+@dataclass
+class CannonHill(Chunk):
+    x: X
+    y: Y
+    h: H
+    wbefore: W
+    wafter: W
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x - self.wbefore / 2, self.y + self.h / 2)
+        c2 = (self.x - self.wbefore + self.wafter / 2, self.y + self.h / 2)
+        return [c1, c2]
+
+    def place_in(self, map: np.ndarray):
+        # place the tube itself
+        for i in range(0, self.h):
+            map[self.x, self.y + i] += 1
+
+        # place platform before
+        for i in range(0, self.wbefore):
+            map[self.x - i, self.y] += 1
+
+        # place platform after
+        for i in range(0, self.wafter):
+            map[self.x + i, self.y] += 1
+
+
+@dataclass
+class TubeHill(Chunk):
+    x: X
+    y: Y
+    h: H
+    wbefore: W
+    wafter: W
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x - self.wbefore / 2, self.y + self.h / 2)
+        c2 = (self.x - self.wbefore + self.wafter / 2, self.y + self.h / 2)
+        return [c1, c2]
+
+    def place_in(self, map: np.ndarray):
+        # place the tube itself
+        for i in range(0, self.h):
+            map[self.x, self.y + i] += 1
+
+        # place platform before
+        for i in range(0, self.wbefore):
+            map[self.x - i, self.y] += 1
+
+        # place platform after
+        for i in range(0, self.wafter):
+            map[self.x + i, self.y] += 1
+
+
+@dataclass
+class Coin(Chunk):
+    x: X
+    y: Y
+    w: W
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x + self.w / 2, self.y + 0.5)
+        return [c1]
+
+    def place_in(self, map: np.ndarray):
+        # place the tube itself
+        for i in range(0, self.w):
+            map[self.x + i, self.y] += 1
+
+
+@dataclass
+class Cannon(Chunk):
+    x: X
+    y: Y
+    h: H
+    wbefore: W
+    wafter: W
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x - self.wbefore / 2, self.y + self.h / 2)
+        c2 = (self.x - self.wbefore + self.wafter / 2, self.y + self.h / 2)
+        return [c1, c2]
+
+    def place_in(self, map: np.ndarray):
+        # place the tube itself
+        for i in range(0, self.h):
+            map[self.x, self.y + i] += 1
+
+        # place platform before
+        for i in range(0, self.wbefore):
+            map[self.x - i, self.y] += 1
+
+        # place platform after
+        for i in range(0, self.wafter):
+            map[self.x + i, self.y] += 1
+
+
+@dataclass
+class Tube(Chunk):
+    x: X
+    y: Y
+    h: H
+    wbefore: W
+    wafter: W
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x - self.wbefore / 2, self.y + self.h / 2)
+        c2 = (self.x - self.wbefore + self.wafter / 2, self.y + self.h / 2)
+        return [c1, c2]
+
+    def place_in(self, map: np.ndarray):
+        # place the tube itself
+        for i in range(0, self.h):
+            map[self.x, self.y + i] += 1
+
+        # place platform before
+        for i in range(0, self.wbefore):
+            map[self.x - i, self.y] += 1
+
+        # place platform after
+        for i in range(0, self.wafter):
+            map[self.x + i, self.y] += 1
+
+
+@dataclass
+class Box:
+    kind: Annotated[str, VarRange(["bcoin", "bpowerup", "rcoin", "rock"])]
+    x: X
+    y: Y
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x, self.y + 0.5)
+        return [c1]
+
+    def place_in(self, map: np.ndarray):
+        map[self.x, self.y] += 1
+
+
+@dataclass
+class Boxes(Chunk):
+    boxes: Annotated[list[Box], ListSizeBetween(2, 6)]
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        return list(*[box.centrail_point() for box in self.boxes])
+
+    def place_in(self, map: np.ndarray):
+        for box in self.boxes:
+            box.place_in(map)
+
+
+@dataclass
+class Enemy:
+    kind: Annotated[str, VarRange(["goomba", "koopa"])]
+    x: X
+
+    def centrail_point(self) -> list[tuple[float, float]]:
+        c1 = (self.x + 0.5, 0.5)
+        return [c1]
+
+    def place_in(self, map: np.ndarray):
+        map[self.x, 0] = 1
+
+
+map_w = 110
+map_h = 10
+
+
+@dataclass
+class Level:
+    chunks: list[Chunk]
+    enemies: Annotated[list[Enemy], ListSizeBetween(2, 10)]
+
+    def number_of_chunks(self) -> int:
+        max_chunks = map_w * map_h
+        return max_chunks - len(self.chunks)
+
+    def conflicts(self) -> int:
+        map = np.zeros((map_w, map_h))
+
+        for chunk in self.chunks:
+            chunk.place_in(map)
+        for enemy in self.enemies:
+            enemy.place_in(map)
+
+        return np.sum(map)
+
+
+class MarioBenchmark(Benchmark):
+    def __init__(self):
+        self.setup_problem()
+        self.setup_grammar()
+
+    def setup_problem(self):
+
+        # Problem
+        def fitness_function(b: Level) -> list[int]:
+            return [b.number_of_chunks(), b.conflicts()]
+
+        self.problem = MultiObjectiveProblem(minimize=[True, True], fitness_function=fitness_function, target=[0, 0])
+
+    def setup_grammar(self):
+        self.grammar = extract_grammar(
+            [Level, Chunk, Enemy, TubeHill, Box, Coin, Gap, Platform, Hill, CannonHill, Cannon, Tube, Boxes, Box],
+            Level,
+        )
+
+    def get_problem(self) -> Problem:
+        return self.problem
+
+    def get_grammar(self) -> Grammar:
+        return self.grammar
+
+
+if __name__ == "__main__":
+    example_run(MarioBenchmark())

run_examples.sh

@@ -35,6 +35,7 @@ run_example examples/benchmarks/classification.py
 run_example examples/benchmarks/classification_lexicase.py
 run_example examples/benchmarks/domino.py
 run_example examples/benchmarks/game_of_life_vectorial.py
+run_example examples/benchmarks/mario_level.py
 run_example examples/benchmarks/pymax.py
 run_example examples/benchmarks/regression.py
 run_example examples/benchmarks/regression_lexicase.py