feat(void): add xbps template for python3-pywhispercpp
Spec #16 ticket #26: Void template for the whisper.cpp Python binding, built from the pinned 1.5.0 sdist with the Vulkan backend (default-on option), shared libraries, and portable CPU flags. Includes the podman build/smoke harness, pinned base-image pins, and offline policy tests. Refs: #26
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# Template file for 'python3-pywhispercpp'
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pkgname=python3-pywhispercpp
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version=1.5.0
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revision=1
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build_style=python3-module
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hostmakedepends="cmake pkg-config python3-setuptools python3-wheel $(vopt_if vulkan shaderc)"
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makedepends="python3-devel $(vopt_if vulkan vulkan-loader-devel)"
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depends="python3-numpy python3-requests python3-tqdm python3-platformdirs $(vopt_if vulkan vulkan-loader)"
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short_desc="Python bindings for whisper.cpp speech recognition"
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maintainer="Orphaned <orphan@voidlinux.org>"
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license="MIT"
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homepage="https://github.com/absadiki/pywhispercpp"
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distfiles="${PYPI_SITE}/p/pywhispercpp/pywhispercpp-${version}.tar.gz"
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checksum=5aa54c73ec96617d97aa519dbbf817e44255eddd9bd52ee1243be61028dbd018
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# The sdist ships no test suite, so there is nothing to check.
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make_check=no
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# Package build options
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build_options="vulkan"
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build_options_default="vulkan"
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pre_build() {
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# The sdist derives its version from git metadata, which is absent in
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# the xbps build root, so inject the pinned version explicitly. This is
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# the same version install.sh (PYWHISPERCPP_VERSION) and uv.lock pin.
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export PYWHISPERCPP_VERSION=${version}
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# Portable x86-64 baseline: GGML_NATIVE is ggml's default and compiles
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# libggml-cpu with -march=native, so the package would inherit the
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# builder's instruction set and SIGILL on older CPUs (#938).
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# GGML_NATIVE=OFF alone is not enough: while the native default is on,
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# ggml turns every GGML_* SIMD option on and still compiles -mavx2
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# -mfma (#957). Each option is pinned off, mirroring the Flatpak build.
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# Shared libraries with an $ORIGIN rpath let the extension resolve the
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# whisper.cpp libraries installed beside it (as install.sh does), with
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# no LD_LIBRARY_PATH at runtime. (setup.py install never builds a
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# wheel, so NO_REPAIR is meaningless here and deliberately unset.)
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export CMAKE_ARGS='-DCMAKE_INSTALL_RPATH=$ORIGIN -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DBUILD_SHARED_LIBS=ON -DGGML_NATIVE=OFF -DGGML_SSE42=OFF -DGGML_AVX=OFF -DGGML_AVX2=OFF -DGGML_BMI2=OFF -DGGML_FMA=OFF -DGGML_F16C=OFF'
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if [ -n "$build_option_vulkan" ]; then
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# Vulkan acceleration for every GPU vendor. There is no CUDA
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# build: Void ships no CUDA toolkit package.
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export GGML_VULKAN=1
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fi
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}
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post_install() {
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vlicense LICENSE
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}
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