From d57892fd8c8d84b85e73005a433f66d85da12fa3 Mon Sep 17 00:00:00 2001 From: V3n3RiX Date: Mon, 15 May 2023 10:03:16 +0100 Subject: gentoo auto-resync : 15:05:2023 - 10:03:16 --- sci-libs/Manifest.gz | Bin 44479 -> 44638 bytes sci-libs/caffe2/Manifest | 2 +- sci-libs/caffe2/caffe2-2.0.1-r1.ebuild | 196 ++++++++++++++++++++++ sci-libs/caffe2/caffe2-2.0.1.ebuild | 196 ---------------------- sci-libs/seqeval/Manifest | 4 + sci-libs/seqeval/files/seqeval-1.2.2-gentoo.patch | 10 ++ sci-libs/seqeval/metadata.xml | 12 ++ sci-libs/seqeval/seqeval-1.2.2.ebuild | 36 ++++ 8 files changed, 259 insertions(+), 197 deletions(-) create mode 100644 sci-libs/caffe2/caffe2-2.0.1-r1.ebuild delete mode 100644 sci-libs/caffe2/caffe2-2.0.1.ebuild create mode 100644 sci-libs/seqeval/Manifest create mode 100644 sci-libs/seqeval/files/seqeval-1.2.2-gentoo.patch create mode 100644 sci-libs/seqeval/metadata.xml create mode 100644 sci-libs/seqeval/seqeval-1.2.2.ebuild (limited to 'sci-libs') diff --git a/sci-libs/Manifest.gz b/sci-libs/Manifest.gz index 67308abe8a64..dc22e494bdc8 100644 Binary files a/sci-libs/Manifest.gz and b/sci-libs/Manifest.gz differ diff --git a/sci-libs/caffe2/Manifest b/sci-libs/caffe2/Manifest index 363e0c313bd5..023cd56418c7 100644 --- a/sci-libs/caffe2/Manifest +++ b/sci-libs/caffe2/Manifest @@ -11,5 +11,5 @@ DIST pytorch-2.0.0.tar.gz 111327292 BLAKE2B 6d593a975c0ade714f0b189f7e3c4ff704b9 DIST pytorch-2.0.1.tar.gz 111335778 BLAKE2B 7a10cc2b2d5e2422aef7e060a0c3a62ca5c7460c6e0b9becade9b98939501975c74ed5a175a653731f43ca824d2c9bd31f41d1f633c2b139779ab23d5331e9ce SHA512 2309a22b3be3ccdb36d8d9781a59a7bdcc2fdb8d95ada205702ec77862480f0cbb12cd5d6b8cd3114d01a6e33b7743d0fe9de93debf37138ca5c14403cdb0c43 EBUILD caffe2-1.13.1-r6.ebuild 5221 BLAKE2B 64a0309f8601752187205d49629245ae8a3305d9fad0626eff293fa555e50c7c147bfa9879ada2bd0a076e41120a9f5f9667cd784a4a3418cee9a4711eb69b05 SHA512 d1162bb88a1ac0c412cc2fa828521f98be9eda5f55d63f4a5162c727940121db1a7ab8155bd151fe1a2b9985851ff82bb49e3f3e01c4e4f1fdc1f3f4444d56ce EBUILD caffe2-2.0.0-r4.ebuild 5292 BLAKE2B f0560c057af3e24e81e4538f4ef6f35eba6b3e70a435c00be0e08aed40e1991997beea05127e195fcefe019147b10ca74c338e3b5a1b8bd61c631b680805a587 SHA512 4556d43911ca5fd8438d603529cf74bde4ec8ac30b9e7a45debab2252a9a8db53dde09b20d1be08a76f90dc783bd70401b1252427da6556d6c3e7d487b656345 -EBUILD caffe2-2.0.1.ebuild 5342 BLAKE2B 0bc2440601faf6f067bf1a4792fe5d7ed944aaa878c30ed58c0c6723d72d11f364954724f1dfc65da7d34b98d1533bc5bbe6ab122c4642e6e5a5609009fb2a6e SHA512 823be596fcdb1e2f07be3a6ee8d8617d5e0ebd60aa644fbdbf375f2a97164a9991d8d12981cbc3f660ee62d2439a5d602066fb5aa2862f9ee3a3bcb8623c3168 +EBUILD caffe2-2.0.1-r1.ebuild 5349 BLAKE2B a09dc826194d3816765e6bb955dbd62608625197a9355b674ac8db38c6b9b254ad8004b1265eacc9222e2bf4261593c2b20cf79adb40ea8476cebfe0dde97502 SHA512 114d040104545a920282b1fda181b0e918cbb7d27d74999d42799eeac955d8a3e2ffcfb780c0740ac51eb358e9955bcb682970e8be72fc02b74c98595ee81b5d MISC metadata.xml 1161 BLAKE2B af1b8f3ab7789f9aa5f635d5a3f1175bbdd7ccbf68f205bfc2769ccab2cb5c519f6fe62024759eb28f0e1353a04bed3216d222808b9f95100d3e0bb591f1d82b SHA512 1737d3dc8fa7786550930beb067ca4eca173a47095a88450ab5c913d3aed08f51fe21c875f484e5663542471a48ef55878cddc97881ff8be7648987b90b79126 diff --git a/sci-libs/caffe2/caffe2-2.0.1-r1.ebuild b/sci-libs/caffe2/caffe2-2.0.1-r1.ebuild new file mode 100644 index 000000000000..65814fb3e0e6 --- /dev/null +++ b/sci-libs/caffe2/caffe2-2.0.1-r1.ebuild @@ -0,0 +1,196 @@ +# Copyright 2022-2023 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=8 + +PYTHON_COMPAT=( python3_{9..11} ) +inherit python-single-r1 cmake cuda flag-o-matic + +MYPN=pytorch +MYP=${MYPN}-${PV} + +DESCRIPTION="A deep learning framework" +HOMEPAGE="https://pytorch.org/" +SRC_URI="https://github.com/pytorch/${MYPN}/archive/refs/tags/v${PV}.tar.gz + -> ${MYP}.tar.gz" + +LICENSE="BSD" +SLOT="0" +KEYWORDS="~amd64" +IUSE="cuda distributed fbgemm ffmpeg gloo mpi nnpack +numpy opencl opencv openmp qnnpack tensorpipe xnnpack" +RESTRICT="test" +REQUIRED_USE=" + ${PYTHON_REQUIRED_USE} + ffmpeg? ( opencv ) + mpi? ( distributed ) + tensorpipe? ( distributed ) + distributed? ( tensorpipe ) + gloo? ( distributed ) +" # ?? ( cuda rocm ) + +# CUDA 12 not supported yet: https://github.com/pytorch/pytorch/issues/91122 +RDEPEND=" + ${PYTHON_DEPS} + dev-cpp/gflags:= + >=dev-cpp/glog-0.5.0 + dev-libs/cpuinfo + dev-libs/libfmt + dev-libs/protobuf:= + dev-libs/pthreadpool + dev-libs/sleef + sci-libs/lapack + >=sci-libs/onnx-1.12.0 + sci-libs/foxi + cuda? ( + =dev-libs/cudnn-8* + dev-libs/cudnn-frontend:0/8 + =sci-libs/XNNPACK-2022.12.22 ) +" +DEPEND=" + ${RDEPEND} + dev-cpp/eigen + cuda? ( dev-libs/cutlass ) + dev-libs/psimd + dev-libs/FP16 + dev-libs/FXdiv + dev-libs/pocketfft + dev-libs/flatbuffers + sci-libs/kineto + $(python_gen_cond_dep ' + dev-python/pyyaml[${PYTHON_USEDEP}] + dev-python/pybind11[${PYTHON_USEDEP}] + ') +" + +S="${WORKDIR}"/${MYP} + +PATCHES=( + "${FILESDIR}"/${PN}-2.0.0-gentoo.patch + "${FILESDIR}"/${PN}-1.13.0-install-dirs.patch + "${FILESDIR}"/${PN}-1.12.0-glog-0.6.0.patch + "${FILESDIR}"/${PN}-1.13.1-tensorpipe.patch + "${FILESDIR}"/${PN}-2.0.0-gcc13.patch + "${FILESDIR}"/${PN}-2.0.0-cudnn_include_fix.patch +) + +src_prepare() { + filter-lto #bug 862672 + sed -i \ + -e "/third_party\/gloo/d" \ + cmake/Dependencies.cmake \ + || die + cmake_src_prepare + pushd torch/csrc/jit/serialization || die + flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die + popd +} + +src_configure() { + if use cuda && [[ -z ${TORCH_CUDA_ARCH_LIST} ]]; then + ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0." + ewarn "These may not be optimal for your GPU." + ewarn "" + ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU," + ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2." + ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5,3.5" + ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell" + ewarn "" + ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus" + ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" + fi + + local mycmakeargs=( + -DBUILD_CUSTOM_PROTOBUF=OFF + -DBUILD_SHARED_LIBS=ON + + -DUSE_CCACHE=OFF + -DUSE_CUDA=$(usex cuda) + -DUSE_CUDNN=$(usex cuda) + -DUSE_FAST_NVCC=$(usex cuda) + -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}" + -DBUILD_NVFUSER=OFF + -DUSE_DISTRIBUTED=$(usex distributed) + -DUSE_MPI=$(usex mpi) + -DUSE_FAKELOWP=OFF + -DUSE_FBGEMM=$(usex fbgemm) + -DUSE_FFMPEG=$(usex ffmpeg) + -DUSE_GFLAGS=ON + -DUSE_GLOG=ON + -DUSE_GLOO=$(usex gloo) + -DUSE_KINETO=OFF # TODO + -DUSE_LEVELDB=OFF + -DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma + -DUSE_MKLDNN=OFF + -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication Library + -DUSE_NNPACK=$(usex nnpack) + -DUSE_QNNPACK=$(usex qnnpack) + -DUSE_XNNPACK=$(usex xnnpack) + -DUSE_SYSTEM_XNNPACK=$(usex xnnpack) + -DUSE_TENSORPIPE=$(usex tensorpipe) + -DUSE_PYTORCH_QNNPACK=OFF + -DUSE_NUMPY=$(usex numpy) + -DUSE_OPENCL=$(usex opencl) + -DUSE_OPENCV=$(usex opencv) + -DUSE_OPENMP=$(usex openmp) + -DUSE_ROCM=OFF # TODO + -DUSE_SYSTEM_CPUINFO=ON + -DUSE_SYSTEM_PYBIND11=ON + -DUSE_UCC=OFF + -DUSE_VALGRIND=OFF + -DPYBIND11_PYTHON_VERSION="${EPYTHON#python}" + -DPYTHON_EXECUTABLE="${PYTHON}" + -DUSE_ITT=OFF + -DBLAS=Eigen # avoid the use of MKL, if found on the system + -DUSE_SYSTEM_EIGEN_INSTALL=ON + -DUSE_SYSTEM_PTHREADPOOL=ON + -DUSE_SYSTEM_FXDIV=ON + -DUSE_SYSTEM_FP16=ON + -DUSE_SYSTEM_GLOO=ON + -DUSE_SYSTEM_ONNX=ON + -DUSE_SYSTEM_SLEEF=ON + + -Wno-dev + -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir) + -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir) + ) + + if use cuda; then + addpredict "/dev/nvidiactl" # bug 867706 + addpredict "/dev/char" + + mycmakeargs+=( + -DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")" + ) + fi + cmake_src_configure +} + +src_install() { + cmake_src_install + + insinto "/var/lib/${PN}" + doins "${BUILD_DIR}"/CMakeCache.txt + + rm -rf python + mkdir -p python/torch/include || die + mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die + mv "${ED}"/usr/include/torch python/torch/include || die + cp torch/version.py python/torch/ || die + rm -rf "${ED}"/var/tmp || die + python_domodule python/caffe2 + python_domodule python/torch +} diff --git a/sci-libs/caffe2/caffe2-2.0.1.ebuild b/sci-libs/caffe2/caffe2-2.0.1.ebuild deleted file mode 100644 index 558e1671f543..000000000000 --- a/sci-libs/caffe2/caffe2-2.0.1.ebuild +++ /dev/null @@ -1,196 +0,0 @@ -# Copyright 2022-2023 Gentoo Authors -# Distributed under the terms of the GNU General Public License v2 - -EAPI=8 - -PYTHON_COMPAT=( python3_{9..11} ) -inherit python-single-r1 cmake cuda flag-o-matic - -MYPN=pytorch -MYP=${MYPN}-${PV} - -DESCRIPTION="A deep learning framework" -HOMEPAGE="https://pytorch.org/" -SRC_URI="https://github.com/pytorch/${MYPN}/archive/refs/tags/v${PV}.tar.gz - -> ${MYP}.tar.gz" - -LICENSE="BSD" -SLOT="0" -KEYWORDS="~amd64" -IUSE="cuda distributed fbgemm ffmpeg gloo mpi nnpack +numpy opencl opencv openmp qnnpack tensorpipe xnnpack" -RESTRICT="test" -REQUIRED_USE=" - ${PYTHON_REQUIRED_USE} - ffmpeg? ( opencv ) - mpi? ( distributed ) - tensorpipe? ( distributed ) - distributed? ( tensorpipe ) - gloo? ( distributed ) -" # ?? ( cuda rocm ) - -# CUDA 12 not supported yet: https://github.com/pytorch/pytorch/issues/91122 -RDEPEND=" - ${PYTHON_DEPS} - dev-cpp/gflags:= - >=dev-cpp/glog-0.5.0 - dev-libs/cpuinfo - dev-libs/libfmt - dev-libs/protobuf:= - dev-libs/pthreadpool - dev-libs/sleef - sci-libs/lapack - >=sci-libs/onnx-1.12.0 - sci-libs/foxi - cuda? ( - =dev-libs/cudnn-8* - dev-libs/cudnn-frontend:0/8 - =sci-libs/XNNPACK-2022.12.22 ) -" -DEPEND=" - ${RDEPEND} - dev-cpp/eigen - cuda? ( dev-libs/cutlass ) - dev-libs/psimd - dev-libs/FP16 - dev-libs/FXdiv - dev-libs/pocketfft - dev-libs/flatbuffers - sci-libs/kineto - $(python_gen_cond_dep ' - dev-python/pyyaml[${PYTHON_USEDEP}] - dev-python/pybind11[${PYTHON_USEDEP}] - ') -" - -S="${WORKDIR}"/${MYP} - -PATCHES=( - "${FILESDIR}"/${PN}-2.0.0-gentoo.patch - "${FILESDIR}"/${PN}-1.13.0-install-dirs.patch - "${FILESDIR}"/${PN}-1.12.0-glog-0.6.0.patch - "${FILESDIR}"/${PN}-1.13.1-tensorpipe.patch - "${FILESDIR}"/${PN}-2.0.0-gcc13.patch - "${FILESDIR}"/${PN}-2.0.0-cudnn_include_fix.patch -) - -src_prepare() { - filter-lto #bug 862672 - sed -i \ - -e "/third_party\/gloo/d" \ - cmake/Dependencies.cmake \ - || die - cmake_src_prepare - pushd torch/csrc/jit/serialization || die - flatc --cpp --gen-mutable --scoped-enums mobile_bytecode.fbs || die - popd -} - -src_configure() { - if use cuda && [[ -z ${TORCH_CUDA_ARCH_LIST} ]]; then - ewarn "WARNING: caffe2 is being built with its default CUDA compute capabilities: 3.5 and 7.0." - ewarn "These may not be optimal for your GPU." - ewarn "" - ewarn "To configure caffe2 with the CUDA compute capability that is optimal for your GPU," - ewarn "set TORCH_CUDA_ARCH_LIST in your make.conf, and re-emerge caffe2." - ewarn "For example, to use CUDA capability 7.5 & 3.5, add: TORCH_CUDA_ARCH_LIST=7.5,3.5" - ewarn "For a Maxwell model GPU, an example value would be: TORCH_CUDA_ARCH_LIST=Maxwell" - ewarn "" - ewarn "You can look up your GPU's CUDA compute capability at https://developer.nvidia.com/cuda-gpus" - ewarn "or by running /opt/cuda/extras/demo_suite/deviceQuery | grep 'CUDA Capability'" - fi - - local mycmakeargs=( - -DBUILD_CUSTOM_PROTOBUF=OFF - -DBUILD_SHARED_LIBS=ON - - -DUSE_CCACHE=OFF - -DUSE_CUDA=$(usex cuda) - -DUSE_CUDNN=$(usex cuda) - -DUSE_FAST_NVCC=$(usex cuda) - -DTORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST:-3.5 7.0}" - -DBUILD_NVFUSER=OFF - -DUSE_DISTRIBUTED=$(usex distributed) - -DUSE_MPI=$(usex mpi) - -DUSE_FAKELOWP=OFF - -DUSE_FBGEMM=$(usex fbgemm) - -DUSE_FFMPEG=$(usex ffmpeg) - -DUSE_GFLAGS=ON - -DUSE_GLOG=ON - -DUSE_GLOO=$(usex gloo) - -DUSE_KINETO=OFF # TODO - -DUSE_LEVELDB=OFF - -DUSE_MAGMA=OFF # TODO: In GURU as sci-libs/magma - -DUSE_MKLDNN=OFF - -DUSE_NCCL=OFF # TODO: NVIDIA Collective Communication Library - -DUSE_NNPACK=$(usex nnpack) - -DUSE_QNNPACK=$(usex qnnpack) - -DUSE_XNNPACK=$(usex xnnpack) - -DUSE_SYSTEM_XNNPACK=$(usex xnnpack) - -DUSE_TENSORPIPE=$(usex tensorpipe) - -DUSE_PYTORCH_QNNPACK=OFF - -DUSE_NUMPY=$(usex numpy) - -DUSE_OPENCL=$(usex opencl) - -DUSE_OPENCV=$(usex opencv) - -DUSE_OPENMP=$(usex openmp) - -DUSE_ROCM=OFF # TODO - -DUSE_SYSTEM_CPUINFO=ON - -DUSE_SYSTEM_PYBIND11=ON - -DUSE_UCC=OFF - -DUSE_VALGRIND=OFF - -DPYBIND11_PYTHON_VERSION="${EPYTHON#python}" - -DPYTHON_EXECUTABLE="${PYTHON}" - -DUSE_ITT=OFF - -DBLAS=Eigen # avoid the use of MKL, if found on the system - -DUSE_SYSTEM_EIGEN_INSTALL=ON - -DUSE_SYSTEM_PTHREADPOOL=ON - -DUSE_SYSTEM_FXDIV=ON - -DUSE_SYSTEM_FP16=ON - -DUSE_SYSTEM_GLOO=ON - -DUSE_SYSTEM_ONNX=ON - -DUSE_SYSTEM_SLEEF=ON - - -Wno-dev - -DTORCH_INSTALL_LIB_DIR="${EPREFIX}"/usr/$(get_libdir) - -DLIBSHM_INSTALL_LIB_SUBDIR="${EPREFIX}"/usr/$(get_libdir) - ) - - if use cuda; then - addpredict "/dev/nvidiactl" # bug 867706 - addpredict "/dev/char" - - mycmakeargs+=( - -DCMAKE_CUDA_FLAGS="$(cuda_gccdir -f | tr -d \")" - ) - fi - cmake_src_configure -} - -src_install() { - cmake_src_install - - insinto "/var/lib/${PN}" - doins "${BUILD_DIR}"/CMakeCache.txt - - rm -rf python - mkdir -p python/torch/include || die - mv "${ED}"/usr/lib/python*/site-packages/caffe2 python/ || die - mv "${ED}"/usr/include/torch python/torch/include || die - cp torch/version.py python/torch/ || die - rm -rf "${ED}"/var/tmp || die - python_domodule python/caffe2 - python_domodule python/torch -} diff --git a/sci-libs/seqeval/Manifest b/sci-libs/seqeval/Manifest new file mode 100644 index 000000000000..1ef4b7602928 --- /dev/null +++ b/sci-libs/seqeval/Manifest @@ -0,0 +1,4 @@ +AUX seqeval-1.2.2-gentoo.patch 450 BLAKE2B fd44e8b8d6b421e7790ac7b7c32d260db1ff20ddec6c1c15f8bf244458776b1e201204405bfb718fa2ab12bd602de548b16228b1f7968ce3eebb6ec6c4b55742 SHA512 b26c0c01e4285f683e16da8da0be96161c3e697725dda75d9daa0b5e89294099eab0af8c3a501f33525e7fc0e5c698060f1fe4228d95ef3216dcba919da4853a +DIST seqeval-1.2.2.gh.tar.gz 42187 BLAKE2B c0ae8b71fab3d29381d5e2bc70f733b5d176b8a447ee7803a8b4681a1fbd9d197e288c1e3c1239454b5c669addc4977d8a3274c63884529d8c682bf584f2cd3a SHA512 794b817dcd19bc60ecc1c3c3f188bb17b2786dd3629691c43a594443b6dd2a3298b398309d5f14817ff1e0e37859fe109175b8bd48d0d30243de0ea4845c381a +EBUILD seqeval-1.2.2.ebuild 752 BLAKE2B f8e51652b7b9f949190e3dcee922ee7660d6095feeff8b144731f83d0c440edade13115621813ce95d56cc7ca7ac10c3b8437076e559acf2a400d9e00f54f5b0 SHA512 4f4629d9f9f8b44053378d3a7aea1ca5581cf05303720df791c8b975e122002b1744a7e181c3c0175cab03951c41aabebe82d7aec81fb4876a15dcf1215f698c +MISC metadata.xml 378 BLAKE2B 3f985472075cf2a650e8e2851d63fb69fcae8bba196b04809cea8158922aea385320d813a7ca18c96b33242b7c4e154ba92b1ff0a26e37450112df3c3e5e9484 SHA512 d227df0c4c1735b8bca799e4bdec447a15d532e63d1c6a6eb2ad634a63a13baee62f403c87db4fbe1b36ea0b1b34fda3b95b5781a7432ccae2904b0c92005664 diff --git a/sci-libs/seqeval/files/seqeval-1.2.2-gentoo.patch b/sci-libs/seqeval/files/seqeval-1.2.2-gentoo.patch new file mode 100644 index 000000000000..17af496e249a --- /dev/null +++ b/sci-libs/seqeval/files/seqeval-1.2.2-gentoo.patch @@ -0,0 +1,10 @@ +--- a/tests/test_metrics.py 2023-05-04 09:00:31.656558311 +0200 ++++ b/tests/test_metrics.py 2023-05-04 09:02:09.151781216 +0200 +@@ -158,6 +158,7 @@ + self.assertLess(abs(r_pred - r_pred_inv), 1e-4) + self.assertLess(abs(f1_pred - f1_pred_inv), 1e-4) + ++ @pytest.mark.skip(reason="take too much time to finish") + def test_statistical_tests(self): + filepath = 'eval_data.txt' + for prefix in ['BIO', 'EIO']: diff --git a/sci-libs/seqeval/metadata.xml b/sci-libs/seqeval/metadata.xml new file mode 100644 index 000000000000..11047fcb8a30 --- /dev/null +++ b/sci-libs/seqeval/metadata.xml @@ -0,0 +1,12 @@ + + + + + tupone@gentoo.org + Tupone Alfredo + + + seqeval + chakki-works/seqeval + + diff --git a/sci-libs/seqeval/seqeval-1.2.2.ebuild b/sci-libs/seqeval/seqeval-1.2.2.ebuild new file mode 100644 index 000000000000..a0b7601ae359 --- /dev/null +++ b/sci-libs/seqeval/seqeval-1.2.2.ebuild @@ -0,0 +1,36 @@ +# Copyright 2023 Gentoo Authors +# Distributed under the terms of the GNU General Public License v2 + +EAPI=8 + +DISTUTILS_USE_PEP517=setuptools +PYTHON_COMPAT=( python3_{9..11} ) +inherit distutils-r1 + +DESCRIPTION="Python framework for sequence labeling evaluation" +HOMEPAGE=" + https://pypi.org/project/seqeval/ + https://github.com/chakki-works/seqeval +" +SRC_URI="https://github.com/chakki-works/${PN}/archive/refs/tags/v${PV}.tar.gz + -> ${P}.gh.tar.gz" + +LICENSE="MIT" +SLOT="0" +KEYWORDS="~amd64" + +BDEPEND="test? ( dev-python/setuptools-scm )" + +distutils_enable_tests pytest + +PATCHES=( "${FILESDIR}"/${P}-gentoo.patch ) + +src_compile() { + export SETUPTOOLS_SCM_PRETEND_VERSION=${PV} + distutils-r1_src_compile +} + +src_test() { + cd tests + distutils-r1_src_test +} -- cgit v1.2.3