mirror of
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44 lines
1.3 KiB
Nix
44 lines
1.3 KiB
Nix
{ lib, stdenv, fetchurl, python3, runtimeShell }:
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stdenv.mkDerivation rec {
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pname = "cmdstan";
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version = "2.17.1";
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src = fetchurl {
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url = "https://github.com/stan-dev/cmdstan/releases/download/v${version}/cmdstan-${version}.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 = [ python3 ];
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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 = "https://mc-stan.org/interfaces/cmdstan.html";
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license = lib.licenses.bsd3;
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platforms = lib.platforms.all;
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};
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}
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