forked from mirrors/nixpkgs
f52263ced0
We can use use `stdenv.hostPlatform.isStatic` instead, and move the logic per package. The least opionated benefit of this is that it makes it much easier to replace packages with modified ones, as there is no longer any issue of overlay order. CC @FRidh @matthewbauer
75 lines
2.2 KiB
Nix
75 lines
2.2 KiB
Nix
{ stdenv
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, fetchurl
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, removeReferencesTo
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, cpp ? false
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, gfortran ? null
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, zlib ? null
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, szip ? null
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, mpi ? null
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, enableShared ? !stdenv.hostPlatform.isStatic
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}:
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# cpp and mpi options are mutually exclusive
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# (--enable-unsupported could be used to force the build)
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assert !cpp || mpi == null;
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let inherit (stdenv.lib) optional optionals; in
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stdenv.mkDerivation rec {
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version = "1.10.6";
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pname = "hdf5";
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src = fetchurl {
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url = "https://support.hdfgroup.org/ftp/HDF5/releases/hdf5-1.10/${pname}-${version}/src/${pname}-${version}.tar.bz2";
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sha256 = "1gf38x51128hn00744358w27xgzjk0ff4wra4yxh2lk804ck1mh9";
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};
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passthru = {
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mpiSupport = (mpi != null);
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inherit mpi;
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};
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outputs = [ "out" "dev" ];
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nativeBuildInputs = [ removeReferencesTo ];
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buildInputs = []
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++ optional (gfortran != null) gfortran
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++ optional (szip != null) szip;
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propagatedBuildInputs = []
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++ optional (zlib != null) zlib
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++ optional (mpi != null) mpi;
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configureFlags = []
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++ optional cpp "--enable-cxx"
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++ optional (gfortran != null) "--enable-fortran"
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++ optional (szip != null) "--with-szlib=${szip}"
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++ optionals (mpi != null) ["--enable-parallel" "CC=${mpi}/bin/mpicc"]
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++ optional enableShared "--enable-shared";
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patches = [
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./bin-mv.patch
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];
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postInstall = ''
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find "$out" -type f -exec remove-references-to -t ${stdenv.cc} '{}' +
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moveToOutput 'bin/h5cc' "''${!outputDev}"
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moveToOutput 'bin/h5c++' "''${!outputDev}"
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moveToOutput 'bin/h5fc' "''${!outputDev}"
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moveToOutput 'bin/h5pcc' "''${!outputDev}"
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'';
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meta = {
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description = "Data model, library, and file format for storing and managing data";
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longDescription = ''
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HDF5 supports an unlimited variety of datatypes, and is designed for flexible and efficient
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I/O and for high volume and complex data. HDF5 is portable and is extensible, allowing
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applications to evolve in their use of HDF5. The HDF5 Technology suite includes tools and
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applications for managing, manipulating, viewing, and analyzing data in the HDF5 format.
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'';
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license = stdenv.lib.licenses.bsd3; # Lawrence Berkeley National Labs BSD 3-Clause variant
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homepage = "https://www.hdfgroup.org/HDF5/";
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platforms = stdenv.lib.platforms.unix;
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};
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}
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