✨ feat(eular_11.py)：添加欧拉项目第11题的解决方案，使用NumPy计算网格中四个相邻数字的最大乘积

✨ feat(eular_12.py)：添加欧拉项目第12题的解决方案，计算第一个拥有超过500个因数的三角数
📝 docs(readme.md)：添加三角数的详细文档，涵盖数学概念、应用领域和博弈论中的实际例子

solutions/0011.grid/eular_11.py

@@ -0,0 +1,45 @@
+import numpy as np
+
+
+def max_product_grid_numpy(grid: list[list[int]]) -> int:
+    g = np.array(grid)
+
+    # 四个方向的原位切片（无Python循环）
+    right = g[:, :-3] * g[:, 1:-2] * g[:, 2:-1] * g[:, 3:]
+    down = g[:-3, :] * g[1:-2, :] * g[2:-1, :] * g[3:, :]
+    diag = g[:-3, :-3] * g[1:-2, 1:-2] * g[2:-1, 2:-1] * g[3:, 3:]
+    anti = g[:-3, 3:] * g[1:-2, 2:-1] * g[2:-1, 1:-2] * g[3:, :-3]
+
+    return max(right.max(), down.max(), diag.max(), anti.max())
+
+
+def main() -> None:
+    txt = """08 02 22 97 38 15 00 40 00 75 04 05 07 78 52 12 50 77 91 08
+49 49 99 40 17 81 18 57 60 87 17 40 98 43 69 48 04 56 62 00
+81 49 31 73 55 79 14 29 93 71 40 67 53 88 30 03 49 13 36 65
+52 70 95 23 04 60 11 42 69 24 68 56 01 32 56 71 37 02 36 91
+22 31 16 71 51 67 63 89 41 92 36 54 22 40 40 28 66 33 13 80
+24 47 32 60 99 03 45 02 44 75 33 53 78 36 84 20 35 17 12 50
+32 98 81 28 64 23 67 10 26 38 40 67 59 54 70 66 18 38 64 70
+67 26 20 68 02 62 12 20 95 63 94 39 63 08 40 91 66 49 94 21
+24 55 58 05 66 73 99 26 97 17 78 78 96 83 14 88 34 89 63 72
+21 36 23 09 75 00 76 44 20 45 35 14 00 61 33 97 34 31 33 95
+78 17 53 28 22 75 31 67 15 94 03 80 04 62 16 14 09 53 56 92
+16 39 05 42 96 35 31 47 55 58 88 24 00 17 54 24 36 29 85 57
+86 56 00 48 35 71 89 07 05 44 44 37 44 60 21 58 51 54 17 58
+19 80 81 68 05 94 47 69 28 73 92 13 86 52 17 77 04 89 55 40
+04 52 08 83 97 35 99 16 07 97 57 32 16 26 26 79 33 27 98 66
+88 36 68 87 57 62 20 72 03 46 33 67 46 55 12 32 63 93 53 69
+04 42 16 73 38 25 39 11 24 94 72 18 08 46 29 32 40 62 76 36
+20 69 36 41 72 30 23 88 34 62 99 69 82 67 59 85 74 04 36 16
+20 73 35 29 78 31 90 01 74 31 49 71 48 86 81 16 23 57 05 54
+01 70 54 71 83 51 54 69 16 92 33 48 61 43 52 01 89 19 67 48"""
+    data = txt.split("\n")
+    data = [(i.split(" ")) for i in data]
+    data = [[int(j) for j in i] for i in data]
+    res = max_product_grid_numpy(data)
+    print(res)
+
+
+if __name__ == "__main__":
+    main()