{ lib, stdenv, pythonAtLeast, pythonOlder, fetchFromGitHub, python, buildPythonPackage, setuptools, numpy, numpy_2, llvmlite, libcxx, importlib-metadata, substituteAll, runCommand, symlinkJoin, writers, numba, config, # CUDA-only dependencies: addDriverRunpath, autoAddDriverRunpath, cudaPackages, # CUDA flags: cudaSupport ? config.cudaSupport, }: let cudatoolkit = cudaPackages.cuda_nvcc; in buildPythonPackage rec { version = "0.60.0"; pname = "numba"; pyproject = true; disabled = pythonOlder "3.8" || pythonAtLeast "3.13"; src = fetchFromGitHub { owner = "numba"; repo = "numba"; rev = "refs/tags/${version}"; # Upstream uses .gitattributes to inject information about the revision # hash and the refname into `numba/_version.py`, see: # # - https://git-scm.com/docs/gitattributes#_export_subst and # - https://github.com/numba/numba/blame/5ef7c86f76a6e8cc90e9486487294e0c34024797/numba/_version.py#L25-L31 # # Hence this hash may change if GitHub / Git will change it's behavior. # Hopefully this will not happen until the next release. We are fairly sure # that upstream relies on those strings to be valid, that's why we don't # use `forceFetchGit = true;`.` If in the future we'll observe the hash # changes too often, we can always use forceFetchGit, and inject the # relevant strings ourselves, using `sed` commands, in extraPostFetch. hash = "sha256-hUL281wHLA7wo8umzBNhiGJikyIF2loCzjLECuC+pO0="; }; postPatch = '' substituteInPlace numba/cuda/cudadrv/driver.py \ --replace-fail \ "dldir = [" \ "dldir = [ '${addDriverRunpath.driverLink}/lib', " ''; env.NIX_CFLAGS_COMPILE = lib.optionalString stdenv.isDarwin "-I${lib.getDev libcxx}/include/c++/v1"; build-system = [ setuptools numpy_2 ]; nativeBuildInputs = lib.optionals cudaSupport [ autoAddDriverRunpath cudaPackages.cuda_nvcc ]; buildInputs = lib.optionals cudaSupport [ cudaPackages.cuda_cudart ]; dependencies = [ numpy llvmlite setuptools ] ++ lib.optionals (pythonOlder "3.9") [ importlib-metadata ]; patches = lib.optionals cudaSupport [ (substituteAll { src = ./cuda_path.patch; cuda_toolkit_path = cudatoolkit; cuda_toolkit_lib_path = lib.getLib cudatoolkit; }) ]; # run a smoke test in a temporary directory so that # a) Python picks up the installed library in $out instead of the build files # b) we have somewhere to put $HOME so some caching tests work # c) it doesn't take 6 CPU hours for the full suite checkPhase = '' runHook preCheck pushd $(mktemp -d) HOME=. ${python.interpreter} -m numba.runtests -m $NIX_BUILD_CORES numba.tests.test_usecases popd runHook postCheck ''; pythonImportsCheck = [ "numba" ]; passthru.testers.cuda-detect = writers.writePython3Bin "numba-cuda-detect" { libraries = [ (numba.override { cudaSupport = true; }) ]; } '' from numba import cuda cuda.detect() ''; passthru.tests = { # CONTRIBUTOR NOTE: numba also contains CUDA tests, though these cannot be run in # this sandbox environment. Consider running similar commands to those below outside the # sandbox manually if you have the appropriate hardware; support will be detected # and the corresponding tests enabled automatically. # Also, the full suite currently does not complete on anything but x86_64-linux. fullSuite = runCommand "${pname}-test" { } '' pushd $(mktemp -d) # pip and python in $PATH is needed for the test suite to pass fully PATH=${ python.withPackages (p: [ p.numba p.pip ]) }/bin:$PATH HOME=$PWD python -m numba.runtests -m $NIX_BUILD_CORES popd touch $out # stop Nix from complaining no output was generated and failing the build ''; }; meta = with lib; { description = "Compiling Python code using LLVM"; homepage = "https://numba.pydata.org/"; license = licenses.bsd2; mainProgram = "numba"; }; }