Single-source the version from pyproject.toml - #16

Squashes the 22 commits of fix-conda-build-and-mpi-detection, rebased onto
main so that #15, #16, #17 and #21 are preserved rather than reverted.

setup.py
- Derive MPI_HOME from the MPI mpi4py is actually linked against, instead of
  guessing, so the extension and mpi4py cannot disagree at runtime.
- Make conda-based builds work: strip the gcc-only tokens RHEL 9 CPython bakes
  into sysconfig that nvc++ rejects, and drop conda's -B compiler_compat while
  keeping its -L/-rpath entries.
- Make SBD_GPU_ARCH optional and honor it at link as well as compile, so a
  multi-arch Thrust fatbin keeps every architecture it was asked for. This
  supersedes the narrower fix in #17.

python/__init__.py, device_config.py
- Load the backends lazily, one per process, and build all three by default.
  Removes the silent GPU demotion and the need for a second install.
- Report why a backend is missing, and fail instead of silently using the CPU
  when gpu-omp has no device.

README: rewritten around the conda recipe and split GPU prerequisites by build
vs run. Retains #15's point that the sdist bundles the headers.

* setup: derive MPI from mpi4py, fix conda builds, load backends lazily

Squashes the 22 commits of fix-conda-build-and-mpi-detection, rebased onto
main so that #15, #16, #17 and #21 are preserved rather than reverted.

setup.py
- Derive MPI_HOME from the MPI mpi4py is actually linked against, instead of
  guessing, so the extension and mpi4py cannot disagree at runtime.
- Make conda-based builds work: strip the gcc-only tokens RHEL 9 CPython bakes
  into sysconfig that nvc++ rejects, and drop conda's -B compiler_compat while
  keeping its -L/-rpath entries.
- Make SBD_GPU_ARCH optional and honor it at link as well as compile, so a
  multi-arch Thrust fatbin keeps every architecture it was asked for. This
  supersedes the narrower fix in #17.

python/__init__.py, device_config.py
- Load the backends lazily, one per process, and build all three by default.
  Removes the silent GPU demotion and the need for a second install.
- Report why a backend is missing, and fail instead of silently using the CPU
  when gpu-omp has no device.

README: rewritten around the conda recipe and split GPU prerequisites by build
vs run. Retains #15's point that the sdist bundles the headers.

* Add AMD GPU support to the OpenMP target-offload backend

Squashes the four commits of amd-rocm-omp-offload.

The same _core_gpu_omp_offload source now builds under either vendor: nvc++
-mp=gpu for NVIDIA, amdclang++ --offload-arch=gfx* for AMD. Thrust stays
NVIDIA-only, since upstream wires it to nvc++ -cuda and there is no rocThrust
configuration to build; SBD_BUILD_BACKEND=gpu therefore fails on AMD rather
than silently falling back to the CPU.

setup.py
- detect_gpu_toolchain() picks nvidia or amd, with SBD_GPU_VENDOR to force the
  choice on a host carrying both; find_rocm_toolchain() honors ROCM_HOME then
  PATH, mirroring find_nvidia_hpc_sdk().
- SBD_GPU_ARCH is spelled per vendor and applied at compile and link: nvc++
  takes -gpu=cc80,cc90 as one flag, clang needs a repeated --offload-arch=.
  Unset on AMD it is detected with the amdgpu-arch that ships beside the chosen
  compiler (not one found on PATH, which can come from a different ROCm), and a
  GPU-less build host is a hard error rather than an unrunnable module.
- amdclang++ needs far less sysconfig scrubbing than nvc++: only
  -fcf-protection, and -march=x86-64-v2 is deliberately left alone.

python/
- 'gpu-omp' is vendor-neutral; get_backend('gpu-omp').__sbd_offload_target__
  reports what an install was actually built for, and the Thrust backend is
  stamped the same way. rocm/gpu-amd-omp/gpu-rocm-omp are aliases.
- device_config.auto() resolves against the backends actually COMPILED instead
  of returning 'gpu' whenever any GPU was detected, which selected the CUDA
  Thrust backend on AMD hosts. GPU presence is probed with rocm-smi as well as
  nvidia-smi.
- bindings.cpp pins each rank to one offload device, reading the vendor's
  device-visibility variable when omp_get_num_devices() reports 0 under dlopen.

README: one rule for MPI -- every GPU backend hands MPI device pointers, so use
a GPU-aware MPI (CUDA-aware on NVIDIA, ROCm-aware on AMD).

Verified on MI250X (gfx90a, ROCm): 8 ranks, 4x2 grid, --device gpu-omp.

* Pin the offload device in gdb_diag too

sbd_pin_offload_device() was wired into tpb_diag and tpb_diag_from_files but
not gdb_diag, so with --device gpu-omp every rank ran gdb_diag on the default
device -- the "all ranks land on GPU 0" symptom, for that entry point only.

Not caught earlier because the three call sites are copies rather than one
helper; folding them together is a separate cleanup.

* Tighten GPU detection and honor ROCM_PATH

- Per-probe timeouts in _gpu_available(): rocm-smi keeps the 30 s it needs to
  enumerate a multi-GCD node, but nvidia-smi no longer inherits it. A wedged
  NVIDIA driver hangs rather than failing, and it was stalling backend
  selection for 30 s instead of 5.

- Require a GPU[<n>] line from `rocm-smi --showid` rather than trusting its
  exit status, in both _gpu_available() and DeviceConfig._check_hip(). A ROCm
  install on a GPU-less BUILD host is exactly where a bare `rocm-smi` exiting 0
  claims hardware that is not there, after which auto() picks a backend that
  cannot run. This is the same signal get_device_info() already counts devices
  with, so there is now one convention instead of two.

- find_rocm_toolchain() honors ROCM_PATH as well as ROCM_HOME, checked in that
  order so an explicit ROCM_HOME still wins. ROCM_PATH is the variable ROCm
  itself sets, and tox.ini already passed it through to a build that ignored it.

* macOS: take libomp and OpenBLAS from the conda env

The Darwin block hardcoded Homebrew paths, so a conda env carrying llvm-openmp
still compiled against /opt/homebrew -- while at import time the process loads
the conda copies anyway, resolved through the interpreter's rpath. Prefer
$CONDA_PREFIX when it has include/omp.h; Homebrew stays as the fallback.

Two diagnostics, since this was hard to see:
- fail with the fix when neither source has libomp, rather than "'omp.h' file
  not found" from the middle of a compile
- print the resolved compiler and its version. sysconfig records a bare
  clang++, which PATH resolves, so a Homebrew LLVM silently wins over both
  Apple clang and a conda toolchain.

README: llvm-openmp in both conda recipes, a note to pin CC/CXX, and a
troubleshooting entry for a conda compiler package shadowing nvc++/amdclang++.

Verified on macOS arm64 under Apple clang 21.0.0 and conda clang 23.1.0: no
Homebrew references in the linked extension, pytest and the 2-rank MPI test
green in both environments.

* Restore the mpicc fallback for MPI detection

Deriving the MPI prefix from mpi4py dropped main's mpicc probe, which broke CI:
Debian splits Open MPI's headers to /usr/lib/<triple>/openmpi/include, outside
the prefix, so mpi4py names the right MPI but $prefix/include/mpi.h does not
exist and the build gave up.

A prefix without mpi.h is an unusual layout, not the wrong MPI, so ask mpicc
before failing -- both when the prefix lacks the header and when no prefix is
found at all. mpi4py stays the preferred source, so the extension and mpi4py
still cannot diverge.

* Make the mpicc probe work for MPICH as well as Open MPI

--showme:compile is an Open MPI-ism. MPICH's wrapper treats it as a source file
and tries to compile it (exit 127 here), so probing that first silently ruled out
MPICH -- which this package claims to support.

Probe `-show` first, which both wrappers understand and which prints the whole
command line, and keep --showme as the second attempt. Duplicate -I/-L entries
are collapsed (MPICH repeats them), and the libraries the wrapper names are used
as-is: -lmpi for Open MPI, -lmpi -lpmpi for MPICH.

Verified against conda-forge openmpi 5.0.10 and mpich 5.0.1.

* Probe mpicc with -show only

-show is understood by every wrapper checked -- homebrew open-mpi, conda-forge
openmpi 5.0.10, conda-forge mpich 5.0.1 -- while --showme:compile works on the
Open MPI ones and exits 127 on MPICH. So -show strictly dominates, and the second
attempt was dead weight: one subprocess call instead of up to three.