2021-01-17 00:15:33 +00:00
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{ fetchurl, lib, stdenv, ocaml, makeWrapper, ncurses }:
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2020-04-24 23:36:52 +00:00
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let version = "0.92"; in
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stdenv.mkDerivation {
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pname = "megam";
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inherit version;
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src = fetchurl {
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url = "http://hal3.name/megam/megam_src.tgz";
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sha256 = "dc0e9f59ff8513449fe3bd40b260141f89c88a4edf6ddc8b8a394c758e49724e";
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};
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patches = [ ./ocaml-includes.patch ./ocaml-3.12.patch ];
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2021-01-17 00:15:33 +00:00
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2023-01-20 10:41:00 +00:00
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strictDeps = true;
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2020-04-24 23:36:52 +00:00
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2023-01-20 10:41:00 +00:00
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nativeBuildInputs = [ makeWrapper ocaml ];
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2020-04-24 23:36:52 +00:00
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2023-01-20 10:41:00 +00:00
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buildInputs = [ ncurses ];
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makeFlags = [
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"CAML_INCLUDES=${ocaml}/lib/ocaml/caml"
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"WITHBIGARRAY=bigarray.cma"
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];
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2020-04-24 23:36:52 +00:00
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# see https://bugzilla.redhat.com/show_bug.cgi?id=435559
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dontStrip = true;
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installPhase = ''
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mkdir -pv $out/bin
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cp -Rv megam $out/bin
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'';
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meta = {
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description = "MEGA Model Optimization Package";
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longDescription =
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'' The software here is an implementation of maximum likelihood
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and maximum a posterior optimization of the parameters of
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these models. The algorithms used are much more efficient
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than the iterative scaling techniques used in almost every
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other maxent package out there. '';
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homepage = "http://www.umiacs.umd.edu/~hal/megam";
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license = "non-commercial";
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maintainers = [ ];
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2023-01-20 10:41:00 +00:00
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platforms = lib.platforms.unix;
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2020-04-24 23:36:52 +00:00
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};
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}
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