nixpkgs/pkgs/tools/misc/hdf5/default.nix

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{ lib
, stdenv
, fetchurl
, removeReferencesTo
, cppSupport ? false
, fortranSupport ? false
, fortran
, zlibSupport ? true
, zlib
, szipSupport ? false
, szip
, mpiSupport ? false
, mpi
, enableShared ? !stdenv.hostPlatform.isStatic
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, javaSupport ? false
, jdk
, usev110Api ? false
}:
# cpp and mpi options are mutually exclusive
# (--enable-unsupported could be used to force the build)
assert !cppSupport || !mpiSupport;
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let inherit (lib) optional optionals; in
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stdenv.mkDerivation rec {
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version = "1.12.1";
pname = "hdf5";
src = fetchurl {
url = "https://support.hdfgroup.org/ftp/HDF5/releases/hdf5-${lib.versions.majorMinor version}/${pname}-${version}/src/${pname}-${version}.tar.bz2";
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sha256 = "sha256-qvn1MrPtqD09Otyfi0Cpt2MVIhj6RTScO8d1Asofjxw=";
};
passthru = {
inherit
cppSupport
fortranSupport
fortran
zlibSupport
zlib
szipSupport
szip
mpiSupport
mpi
;
};
outputs = [ "out" "dev" ];
nativeBuildInputs = [ removeReferencesTo ]
++ optional fortranSupport fortran;
buildInputs = optional fortranSupport fortran
++ optional szipSupport szip
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++ optional javaSupport jdk;
propagatedBuildInputs = optional zlibSupport zlib
++ optional mpiSupport mpi;
configureFlags = optional cppSupport "--enable-cxx"
++ optional fortranSupport "--enable-fortran"
++ optional szipSupport "--with-szlib=${szip}"
++ optionals mpiSupport [ "--enable-parallel" "CC=${mpi}/bin/mpicc" ]
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++ optional enableShared "--enable-shared"
++ optional javaSupport "--enable-java"
++ optional usev110Api "--with-default-api-version=v110";
patches = [
./bin-mv.patch
# Avoid non-determinism in autoconf build system:
# - build time
# - build user
# - uname -a (kernel version)
# Can be dropped once/if we switch to cmake.
./hdf5-more-determinism.patch
];
postInstall = ''
find "$out" -type f -exec remove-references-to -t ${stdenv.cc} '{}' +
moveToOutput 'bin/h5cc' "''${!outputDev}"
moveToOutput 'bin/h5c++' "''${!outputDev}"
moveToOutput 'bin/h5fc' "''${!outputDev}"
moveToOutput 'bin/h5pcc' "''${!outputDev}"
'';
meta = {
description = "Data model, library, and file format for storing and managing data";
longDescription = ''
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
applications to evolve in their use of HDF5. The HDF5 Technology suite includes tools and
applications for managing, manipulating, viewing, and analyzing data in the HDF5 format.
'';
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license = lib.licenses.bsd3; # Lawrence Berkeley National Labs BSD 3-Clause variant
homepage = "https://www.hdfgroup.org/HDF5/";
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platforms = lib.platforms.unix;
};
}