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nixpkgs/pkgs/development/compilers/cmdstan/default.nix
Guillaume Girol 33afbf39f6 treewide: switch to nativeCheckInputs
checkInputs used to be added to nativeBuildInputs. Now we have
nativeCheckInputs to do that instead. Doing this treewide change allows
to keep hashes identical to before the introduction of
nativeCheckInputs.
2023-01-21 12:00:00 +00:00

74 lines
2.2 KiB
Nix

{ lib, stdenv, fetchFromGitHub, stanc, python3, buildPackages, runtimeShell }:
stdenv.mkDerivation rec {
pname = "cmdstan";
version = "2.31.0";
src = fetchFromGitHub {
owner = "stan-dev";
repo = pname;
rev = "v${version}";
fetchSubmodules = true;
sha256 = "sha256-Uh/ZhEnbhQwC8xGFjDzH9No3VRgVbHYk2KoC+e3YhJw=";
};
nativeBuildInputs = [ stanc ];
buildFlags = [ "build" ];
enableParallelBuilding = true;
doCheck = true;
nativeCheckInputs = [ python3 ];
CXXFLAGS = lib.optionalString stdenv.isDarwin "-D_BOOST_LGAMMA";
postPatch = ''
substituteInPlace stan/lib/stan_math/make/libraries \
--replace "/usr/bin/env bash" "bash"
patchShebangs .
'' + lib.optionalString stdenv.isAarch64 ''
sed -z -i "s/TEST(CommandStansummary, check_console_output).*TEST(CommandStansummary, check_csv_output)/TEST(CommandStansummary, check_csv_output)/" \
src/test/interface/stansummary_test.cpp
'';
preConfigure = ''
mkdir -p bin
ln -s ${buildPackages.stanc}/bin/stanc bin/stanc
'';
makeFlags = lib.optional stdenv.isDarwin "arch=${stdenv.hostPlatform.darwinArch}";
checkPhase = ''
./runCmdStanTests.py -j$NIX_BUILD_CORES src/test/interface
'';
installPhase = ''
mkdir -p $out/opt $out/bin
cp -r . $out/opt/cmdstan
ln -s $out/opt/cmdstan/bin/stanc $out/bin/stanc
ln -s $out/opt/cmdstan/bin/stansummary $out/bin/stansummary
cat > $out/bin/stan <<EOF
#!${runtimeShell}
make -C $out/opt/cmdstan "\$(realpath "\$1")"
EOF
chmod a+x $out/bin/stan
'';
# Hack to ensure that patchelf --shrink-rpath get rids of a $TMPDIR reference.
preFixup = "rm -rf stan";
meta = with lib; {
description = "Command-line interface to Stan";
longDescription = ''
Stan is a probabilistic programming language implementing full Bayesian
statistical inference with MCMC sampling (NUTS, HMC), approximate Bayesian
inference with Variational inference (ADVI) and penalized maximum
likelihood estimation with Optimization (L-BFGS).
'';
homepage = "https://mc-stan.org/interfaces/cmdstan.html";
license = licenses.bsd3;
maintainers = with maintainers; [ wegank ];
platforms = platforms.unix;
};
}