Migrate linter from pylint to ruff (#1665)

setup.py

@@ -75,7 +75,8 @@ def get_torch_arch_list() -> Set[str]:
             f"Unsupported CUDA architectures ({invalid_arch_list}) are "
             "excluded from the `TORCH_CUDA_ARCH_LIST` env variable "
             f"({env_arch_list}). Supported CUDA architectures are: "
-            f"{valid_archs}.")
+            f"{valid_archs}.",
+            stacklevel=2)
     return arch_list
 
 
@@ -106,10 +107,10 @@ if not compute_capabilities:
 # Validate the NVCC CUDA version.
 if nvcc_cuda_version < Version("11.0"):
     raise RuntimeError("CUDA 11.0 or higher is required to build the package.")
-if nvcc_cuda_version < Version("11.1"):
-    if any(cc.startswith("8.6") for cc in compute_capabilities):
-        raise RuntimeError(
-            "CUDA 11.1 or higher is required for compute capability 8.6.")
+if (nvcc_cuda_version < Version("11.1")
+        and any(cc.startswith("8.6") for cc in compute_capabilities)):
+    raise RuntimeError(
+        "CUDA 11.1 or higher is required for compute capability 8.6.")
 if nvcc_cuda_version < Version("11.8"):
     if any(cc.startswith("8.9") for cc in compute_capabilities):
         # CUDA 11.8 is required to generate the code targeting compute capability 8.9.
@@ -119,7 +120,8 @@ if nvcc_cuda_version < Version("11.8"):
         # instead of 8.9.
         warnings.warn(
             "CUDA 11.8 or higher is required for compute capability 8.9. "
-            "Targeting compute capability 8.0 instead.")
+            "Targeting compute capability 8.0 instead.",
+            stacklevel=2)
         compute_capabilities = set(cc for cc in compute_capabilities
                                    if not cc.startswith("8.9"))
         compute_capabilities.add("8.0+PTX")