Refactor HVideoTool's configuration and project management: updated project handling in core/project.py, streamlined restoration settings in config.py, and improved documentation in CLAUDE.md. Removed unused parameters and enhanced type hints for better clarity.

hvideotool/core/torch_info.py

@@ -44,7 +44,7 @@ def _run_nvidia_smi() -> dict:
                     out["gpus"].append(parts[0])
                     if len(parts) > 1 and parts[1]:
                         out["driver_version"] = parts[1]
-    except Exception:  # noqa: BLE001 - any failure => "not found"
+    except Exception:
         return out
     # Max CUDA version the driver supports (only in the plain header).
     try:
@@ -54,7 +54,7 @@ def _run_nvidia_smi() -> dict:
         m = re.search(r"CUDA Version:\s*([\d.]+)", r2.stdout)
         if m:
             out["cuda_driver"] = m.group(1)
-    except Exception:  # noqa: BLE001
+    except Exception:
         pass
     return out
 
@@ -76,23 +76,23 @@ def gather() -> dict:
     }
     try:
         import torch
-    except Exception as exc:  # noqa: BLE001 - report any import failure
+    except Exception as exc:
         info["import_error"] = str(exc)
     else:
         info["installed"] = True
         info["version"] = getattr(torch, "__version__", None)
         try:
             info["built_cuda"] = torch.version.cuda
-        except Exception:  # noqa: BLE001
+        except Exception:
             info["built_cuda"] = None
         try:
             info["cuda_available"] = bool(torch.cuda.is_available())
-        except Exception:  # noqa: BLE001
+        except Exception:
             info["cuda_available"] = False
         if info["cuda_available"]:
             try:
                 info["device_name"] = torch.cuda.get_device_name(0)
-            except Exception:  # noqa: BLE001
+            except Exception:
                 info["device_name"] = None
 
     smi = _run_nvidia_smi()
@@ -103,10 +103,6 @@ def gather() -> dict:
     return info
 
 
-def device_label(info: dict) -> str:
-    return "CUDA" if info.get("cuda_available") else "CPU"
-
-
 def _ver_tuple(v: str | None) -> tuple[int, ...]:
     try:
         return tuple(int(x) for x in str(v).split(".")[:2])