forked from mirrors/nixpkgs
dadc7eb329
Whenever we create scripts that are installed to $out, we must use runtimeShell in order to get the shell that can be executed on the machine we create the package for. This is relevant for cross-compiling. The only use case for stdenv.shell are scripts that are executed as part of the build system. Usages in checkPhase are borderline however to decrease the likelyhood of people copying the wrong examples, I decided to use runtimeShell as well.
43 lines
1.3 KiB
Nix
43 lines
1.3 KiB
Nix
{ stdenv, fetchurl, python, runtimeShell }:
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stdenv.mkDerivation rec {
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name = "cmdstan-2.17.1";
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src = fetchurl {
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url = "https://github.com/stan-dev/cmdstan/releases/download/v2.17.1/cmdstan-2.17.1.tar.gz";
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sha256 = "1vq1cnrkvrvbfl40j6ajc60jdrjcxag1fi6kff5pqmadfdz9564j";
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};
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buildFlags = "build";
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enableParallelBuilding = true;
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doCheck = true;
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checkInputs = [ python ];
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checkPhase = "python ./runCmdStanTests.py src/test/interface"; # see #5368
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installPhase = ''
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mkdir -p $out/opt $out/bin
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cp -r . $out/opt/cmdstan
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ln -s $out/opt/cmdstan/bin/stanc $out/bin/stanc
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ln -s $out/opt/cmdstan/bin/stansummary $out/bin/stansummary
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cat > $out/bin/stan <<EOF
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#!${runtimeShell}
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make -C $out/opt/cmdstan "\$(realpath "\$1")"
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EOF
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chmod a+x $out/bin/stan
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'';
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meta = {
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description = "Command-line interface to Stan";
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longDescription = ''
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Stan is a probabilistic programming language implementing full Bayesian
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statistical inference with MCMC sampling (NUTS, HMC), approximate Bayesian
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inference with Variational inference (ADVI) and penalized maximum
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likelihood estimation with Optimization (L-BFGS).
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'';
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homepage = http://mc-stan.org/interfaces/cmdstan.html;
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license = stdenv.lib.licenses.bsd3;
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platforms = stdenv.lib.platforms.all;
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};
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}
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