feat: 初始化Easy Patch插件及依赖文件

- 添加Blender插件核心文件：__init__.py、ui.py、property.py、preference.py
- 添加插件工具模块：g.py、loop.py、generate_loop.py、const.py、op.py
- 添加翻译工具：utils/trans.py
- 添加PuLP线性规划库及其依赖文件，包括CBC求解器二进制文件
- 添加.gitignore和VSCode配置文件

utils/pulp/tests/bin_packing_problem.py

@@ -0,0 +1,51 @@
+from pulp import *
+import random
+from itertools import product
+
+
+def _bin_packing_instance(bins, seed=0):
+    packed_bins = [[] for _ in range(bins)]
+    bin_size = bins * 100
+    random.seed(seed)
+    for i in range(len(packed_bins)):
+        remaining_size = bin_size
+        while remaining_size >= 1:
+            item = random.randrange(1, remaining_size + 10)
+            packed_bins[i].append(item)
+            remaining_size -= item
+        packed_bins[i][-1] += remaining_size
+    all_items_with_bin = [(n, i) for i, l in enumerate(packed_bins) for n in l]
+
+    random.shuffle(all_items_with_bin)
+    items, packing = zip(*all_items_with_bin)
+    return items, packing, bin_size
+
+
+def create_bin_packing_problem(bins, seed=0):
+    items, packing, bin_size = _bin_packing_instance(bins=bins, seed=seed)
+
+    prob = LpProblem("bin_packing", LpMinimize)
+
+    bin_indices = [i for i in range(len(items))]
+    item_indices = [i for i in range(len(items))]
+
+    using_bin = LpVariable.dicts("y", bin_indices, cat=LpBinary)
+    items_packed = LpVariable.dicts(
+        "x", indices=product(item_indices, bin_indices), cat=LpBinary
+    )
+
+    prob += lpSum(using_bin), "objective"
+
+    # pack every item
+    for i in item_indices:
+        prob += lpSum(items_packed[i, b] for b in bin_indices) == 1, f"pack_item_{i}"
+
+    # no bin overfilled
+    for b in bin_indices:
+        expr = (
+            lpSum([items[i] * items_packed[i, b] for i in item_indices])
+            <= bin_size * using_bin[b]
+        )
+        prob += expr, f"respect_bin_size_{b}"
+
+    return prob