forked from mirrors/nixpkgs
76 lines
2.7 KiB
Nix
76 lines
2.7 KiB
Nix
{ stdenv, fetchurl, m4, cxx ? true }:
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let self = stdenv.mkDerivation rec {
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name = "gmp-4.3.2";
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src = fetchurl {
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url = "mirror://gnu/gmp/${name}.tar.bz2";
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sha256 = "0x8prpqi9amfcmi7r4zrza609ai9529pjaq0h4aw51i867064qck";
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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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nativeBuildInputs = [ m4 ];
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# Prevent the build system from using sub-architecture-specific
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# instructions (e.g., SSE2 on i686).
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#
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# This is not a problem for Apple machines, which are all alike. In
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# addition, `configfsf.guess' would return `i386-apple-darwin10.2.0' on
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# `x86_64-darwin', leading to a 32-bit ABI build, which is undesirable.
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preConfigure =
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if !stdenv.isDarwin
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then "ln -sf configfsf.guess config.guess"
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else ''echo "Darwin host is `./config.guess`."'';
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configureFlags = [
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(stdenv.lib.enableFeature cxx "cxx")
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] ++ stdenv.lib.optionals stdenv.isDarwin [
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"ac_cv_build=x86_64-apple-darwin13.4.0"
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"ac_cv_host=x86_64-apple-darwin13.4.0"
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];
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# The test t-lucnum_ui fails (on Linux/x86_64) when built with GCC 4.8.
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# Newer versions of GMP don't have that issue anymore.
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doCheck = false;
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meta = {
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branch = "4";
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description = "GNU multiple precision arithmetic library";
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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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homepage = https://gmplib.org/;
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license = stdenv.lib.licenses.lgpl3Plus;
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maintainers = [ ];
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platforms = stdenv.lib.platforms.all;
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badPlatforms = [ "x86_64-darwin" ];
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};
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};
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in self
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