mirror of
https://github.com/NixOS/nixpkgs.git
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3593d48524
svn path=/nixpkgs/trunk/; revision=25668
67 lines
2.4 KiB
Nix
67 lines
2.4 KiB
Nix
{stdenv, fetchurl, m4, cxx ? true, static ? false}:
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let
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staticFlags = if static then " --enable-static --disable-shared" else "";
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in
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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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buildNativeInputs = [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 = (if cxx then "--enable-cxx" else "--disable-cxx") +
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staticFlags;
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dontDisableStatic = if static then true else false;
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doCheck = true;
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meta = {
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description = "GMP, the 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 = http://gmplib.org/;
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license = "LGPLv3+";
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maintainers = [ stdenv.lib.maintainers.ludo ];
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platforms = stdenv.lib.platforms.all;
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};
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}
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