holding GIL on non-sticky tasks leads to undefined behavior

**Affects:** PythonCall

**Describe the bug**

Because the Python GIL is specific to an _OS thread_, but Julia tasks can migrate across threads when they're paused/resumed, locking the GIL from Julia on a non-sticky thread leads to undefined behavior (segfaults, deadlocks, etc.).

I think probably the way to handle this is to mark the current task as sticky in `GIL.@lock` and friends. It's really hard to get this right in libraries that wrap provide python functionality because even if callers know they need to lock the GIL, they may not know about task stickiness.

**Your system**

We've seen this across a wide variety of environments, Julia 1.10 to 1.12, macOS and ubuntu.

Start with GIL.@lock and related locking helpers, then inspect how Julia tasks can migrate between OS threads and how task stickiness is controlled. Reproduce the reported segfault or deadlock cases on the affected Julia versions, and add coverage showing that GIL-protected work does not run on a migratable task.

由索引模型根据 Issue 内容生成。