Use __pyx_capi__ for CUDA driver function pointers

[Andy-Jost]

Summary

Replace the _CUDA_DRIVER_API_V1 capsule with direct extraction of function pointers from cuda.bindings.cydriver.__pyx_capi__ at module import time.

Changes

• Remove CudaDriverApiV1 struct and _get_cuda_driver_api_v1_capsule() from _resource_handles.pyx
• Remove load_driver_api(), ensure_driver_loaded(), and related machinery from resource_handles.cpp
• Add extern declarations for driver function pointers in resource_handles.hpp
• Populate function pointers at module import using PyCapsule_GetPointer() with PyCapsule_GetName() for signature lookup
• Update DESIGN.md to reflect the new __pyx_capi__ approach

This simplifies the architecture by eliminating the custom capsule struct and its loading machinery. The driver function pointers are now populated directly from Cython's built-in cross-module API mechanism.

Stats: 4 files changed, 228 insertions(+), 392 deletions(-) (net -164 lines)

Test Plan

• Build succeeds
• Import works on CPU-only machines (no GPU/driver required)
• test_stream.py, test_event.py, test_memory.py, test_device.py pass
• CI tests pass

Closes #1450

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[Andy-Jost]

/ok to test 3921ca6

[rwgk]

Awesome! I didn't find anything visually, or with Cursor.

If we had more CI resources we'd be flying! :-)

[kkraus14]

Instead of reaching for the __pyx_capi__ which is an implementation detail of Cython, did we try using cdef api and cdef public? https://cython.readthedocs.io/en/latest/src/userguide/external_C_code.html#c-api-declarations

This generates header file(s) that we can use nicely as expected instead of reaching into internal structs generated by Cython.