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The library runs on Windows: weights are read at their offset without os.preadv (Windows' ReadFile with an
OVERLAPPED offset), the BLAS's thread control is found beside numpy (numpy.libs) instead of through /proc, and the
GPU libraries are opened by their Windows names (nvcuda.dll, cudart64_12.dll from the runtime wheel's bin, nvml.dll,
amdhip64_6.dll, ze_loader.dll, OpenCL.dll). Written and tested with Windows simulated: the project has no Windows
machine yet.
python -m nbxtensor doctor on a Mac without Triton exits 1: it named the fix and exited 0, so a script could
not tell that nothing could run yet.
The library imports on Windows: its page size came from os.sysconf, which Windows does not have; and the code
generator's identity now reads a backend's files as / paths with its .pyd and .dll binaries, so the same code
has the same identity on every system.
A certified setting that is not served says why: where the directory holds a key proven under another code
generator than the running one, the line named a memory class that matched ("certified for 18 GB, this card is
18 GB, not served"); it now names both generators and the re-proof command. A setting proven on another memory class
is still said as such.