81 lines
3.2 KiB
Nix
81 lines
3.2 KiB
Nix
{ stdenv, fetchurl, m4
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, cxx ? !stdenv.hostPlatform.useAndroidPrebuilt && !stdenv.hostPlatform.isWasm
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, buildPackages
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, withStatic ? false }:
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let inherit (stdenv.lib) optional; in
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let self = stdenv.mkDerivation rec {
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name = "gmp-6.1.2";
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src = fetchurl { # we need to use bz2, others aren't in bootstrapping stdenv
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urls = [ "mirror://gnu/gmp/${name}.tar.bz2" "ftp://ftp.gmplib.org/pub/${name}/${name}.tar.bz2" ];
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sha256 = "1clg7pbpk6qwxj5b2mw0pghzawp2qlm3jf9gdd8i6fl6yh2bnxaj";
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};
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#outputs TODO: split $cxx due to libstdc++ dependency
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# maybe let ghc use a version with *.so shared with rest of nixpkgs and *.a added
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# - see #5855 for related discussion
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outputs = [ "out" "dev" "info" ];
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passthru.static = self.out;
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depsBuildBuild = [ buildPackages.stdenv.cc ];
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nativeBuildInputs = [ m4 ];
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configureFlags = [
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"--with-pic"
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(stdenv.lib.enableFeature cxx "cxx")
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# Build a "fat binary", with routines for several sub-architectures
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# (x86), except on Solaris where some tests crash with "Memory fault".
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# See <http://hydra.nixos.org/build/2760931>, for instance.
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#
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# no darwin because gmp uses ASM that clang doesn't like
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(stdenv.lib.enableFeature (!stdenv.isSunOS && stdenv.hostPlatform.isx86) "fat")
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# The config.guess in GMP tries to runtime-detect various
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# ARM optimization flags via /proc/cpuinfo (and is also
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# broken on multicore CPUs). Avoid this impurity.
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"--build=${stdenv.buildPlatform.config}"
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] ++ optional (cxx && stdenv.isDarwin) "CPPFLAGS=-fexceptions"
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++ optional (stdenv.isDarwin && stdenv.is64bit) "ABI=64"
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++ optional (with stdenv.hostPlatform; (useAndroidPrebuilt || useiOSPrebuilt) && !isx86) "--disable-assembly"
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;
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doCheck = true; # not cross;
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dontDisableStatic = withStatic;
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enableParallelBuilding = true;
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meta = with stdenv.lib; {
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homepage = https://gmplib.org/;
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description = "GNU multiple precision arithmetic library";
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license = licenses.gpl3Plus;
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longDescription =
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'' GMP is a free library for arbitrary precision arithmetic, operating
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on signed integers, rational numbers, and floating point numbers.
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There is no practical limit to the precision except the ones implied
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by the available memory in the machine GMP runs on. GMP has a rich
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set of functions, and the functions have a regular interface.
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The main target applications for GMP are cryptography applications
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and research, Internet security applications, algebra systems,
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computational algebra research, etc.
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GMP is carefully designed to be as fast as possible, both for small
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operands and for huge operands. The speed is achieved by using
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fullwords as the basic arithmetic type, by using fast algorithms,
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with highly optimised assembly code for the most common inner loops
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for a lot of CPUs, and by a general emphasis on speed.
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GMP is faster than any other bignum library. The advantage for GMP
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increases with the operand sizes for many operations, since GMP uses
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asymptotically faster algorithms.
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'';
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platforms = platforms.all;
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maintainers = [ maintainers.peti maintainers.vrthra ];
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};
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};
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in self
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