Import S-CANVAS source + iter=1~7 lint cleanup

S-CANVAS (Saman Corp.) — DXF + DEM + AI 기반 3D 조감도 생성 엔진.
~24k LOC Python (scanvas_maker.py 7072 LOC GUI + 구조물 파서/빌더 다수).

이 커밋은 7-iter cleanup이 적용된 상태로 import:
- F821 8 + B023 6: 비동기 lambda + except/loop 변수 캡처 NameError
  (Py3.13에서 reproduce 확인된 진짜 버그)
- RUF012 4 + RUF013 1: ClassVar / implicit Optional 명시화
- F811/B905/B904/F401/F841/W293/F541/UP/SIM/RUF/PLR 700+ cleanup/modernization

신규 파일:
- ruff.toml: target=py313, Korean unicode/저자 스타일/도메인 복잡도 무력화
- requirements-py313.txt: pyproj>=3.7, scipy>=1.14, numpy>=2.0.2 (Py3.13 wheel)
- .gitignore: gcp-key.json, 캐시, 백업, 생성 이미지 제외

검증: ruff 0 errors, py_compile 0 errors, import 33/33 OK on Py3.13.13.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

_build_icon.py

@@ -0,0 +1,67 @@
+"""Pre-generate scanvas_S.ico from Design/logo_V2.png for PyInstaller spec.
+
+Called by build.bat before PyInstaller runs. Standalone so encoding issues in
+.bat don't break it. Mirrors SCanvasApp._setup_window_icon logic.
+"""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+import numpy as np
+from PIL import Image
+from scipy import ndimage as nd
+
+
+def main() -> int:
+    root = Path(__file__).resolve().parent
+    src = root / "Design" / "logo_V2.png"
+    dst_dir = root / "cache" / "icons"
+    dst_dir.mkdir(parents=True, exist_ok=True)
+    ico = dst_dir / "scanvas_S.ico"
+
+    if not src.exists():
+        print(f"[icon] source not found: {src}")
+        return 1
+
+    pil = Image.open(src).convert("RGBA")
+    arr = np.asarray(pil).copy()
+    v = np.maximum.reduce([arr[..., 0], arr[..., 1], arr[..., 2]])
+    arr[..., 3] = np.where(v < 90, 0, arr[..., 3])
+
+    # Crop left ~32% to isolate the 'S' letter
+    crop_w = min(arr.shape[1], 850)
+    carr = arr[:, :crop_w, :]
+    mask = carr[..., 3] > 100
+    labeled, ncomp = nd.label(mask)
+    if ncomp == 0:
+        print("[icon] no foreground content found")
+        return 1
+    sizes = nd.sum(mask, labeled, range(1, ncomp + 1))
+    max_size = float(sizes.max())
+    keep = [i + 1 for i, s in enumerate(sizes) if s >= max_size * 0.1]
+    keep_mask = np.isin(labeled, keep)
+    cc = carr.copy()
+    cc[..., 3] = np.where(keep_mask, carr[..., 3], 0)
+
+    ys, xs = np.where(keep_mask)
+    cropped = Image.fromarray(
+        cc[int(ys.min()):int(ys.max()) + 1, int(xs.min()):int(xs.max()) + 1, :],
+        "RGBA",
+    )
+    cw, ch = cropped.size
+    side = max(cw, ch)
+    pad = max(int(side * 0.04), 4)
+    sp = side + 2 * pad
+    sq = Image.new("RGBA", (sp, sp), (0, 0, 0, 0))
+    sq.paste(cropped, ((sp - cw) // 2, (sp - ch) // 2), cropped)
+    sq.save(
+        ico, format="ICO",
+        sizes=[(16, 16), (32, 32), (48, 48), (64, 64), (128, 128), (256, 256)],
+    )
+    print(f"[icon] {ico} ({ico.stat().st_size} bytes)")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())