fix(core): depend on released cuda-pathfinder >=1.4.1 (#1735)

* fix(core,pathfinder): harden optional NVVM and nvJitLink imports

Add a shared `optional_cuda_import` API in cuda.pathfinder so optional module checks only suppress genuinely unavailable modules or dynamic libs while still surfacing nested import bugs. Wire cuda.core NVVM/nvJitLink detection to this helper and declare cuda-pathfinder as a direct cuda-core dependency.

Made-with: Cursor

* chore(pathfinder): address pre-commit follow-ups

Apply ruff-preferred import ordering in pathfinder exports and rename an unused test lambda argument so repository-wide pre-commit checks pass cleanly.

Made-with: Cursor

* address review feedback for issue 980 PR

Raise the cuda-core dependency floor to cuda-pathfinder>=1.4.2, move the new optional import note to 1.4.2 release notes, and simplify nvJitLink warning text by inlining the fixed version detail.

Made-with: Cursor

* fix(core): use released cuda-pathfinder dependency floor

Set the cuda-core runtime dependency to cuda-pathfinder>=1.4.1 and add a TODO to bump to >=1.4.2 after that release is available so environment solves continue to work.

Made-with: Cursor

Author: cpcloud

cuda_core/pyproject.toml

@@ -47,7 +47,8 @@ classifiers = [
     "Environment :: GPU :: NVIDIA CUDA :: 13",
 ]
 dependencies = [
-    "cuda-pathfinder >=1.4.2",
+    # TODO: bump to >=1.4.2 once cuda-pathfinder 1.4.2 is released.
+    "cuda-pathfinder >=1.4.1",
     "numpy",
 ]