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571c71e6f7
We are migrating packages that meet below requirements:
1. using `callPackage`
2. called path is a directory
3. overriding set is empty (`{ }`)
4. not containing path expressions other than relative path (to
makenixpkgs-vet happy)
5. not referenced by nix files outside of the directory, other
than`pkgs/top-level/all-packages.nix`
6. not referencing nix files outside of the directory
7. not referencing `default.nix` (since it's changed to `package.nix`)
8. `outPath` doesn't change after migration
The tool is here: https://github.com/Aleksanaa/by-name-migrate.
59 lines
2.0 KiB
Nix
59 lines
2.0 KiB
Nix
{ lib, stdenv, fetchurl, libxml2, readline, zlib, perl, cairo, gtk3, gsl
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, pkg-config, gtksourceview4, pango, gettext, dconf
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, makeWrapper, gsettings-desktop-schemas, hicolor-icon-theme
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, texinfo, ssw, python3, iconv
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}:
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stdenv.mkDerivation rec {
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pname = "pspp";
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version = "2.0.1";
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src = fetchurl {
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url = "mirror://gnu/pspp/${pname}-${version}.tar.gz";
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sha256 = "sha256-jtuw8J6M+AEMrZ4FWeAjDX/FquRyHHVsNQVU3zMCTAA=";
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};
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nativeBuildInputs = [ pkg-config texinfo python3 makeWrapper ];
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buildInputs = [ libxml2 readline zlib perl cairo gtk3 gsl
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gtksourceview4 pango gettext
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gsettings-desktop-schemas hicolor-icon-theme ssw iconv
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];
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C_INCLUDE_PATH =
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"${libxml2.dev}/include/libxml2/:" +
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lib.makeSearchPathOutput "dev" "include" buildInputs;
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LIBRARY_PATH = lib.makeLibraryPath buildInputs;
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doCheck = false;
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enableParallelBuilding = true;
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preFixup = ''
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wrapProgram "$out/bin/psppire" \
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--prefix XDG_DATA_DIRS : "$out/share" \
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--prefix XDG_DATA_DIRS : "$XDG_ICON_DIRS" \
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--prefix XDG_DATA_DIRS : "$GSETTINGS_SCHEMAS_PATH" \
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--prefix GIO_EXTRA_MODULES : "${lib.getLib dconf}/lib/gio/modules"
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'';
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meta = {
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homepage = "https://www.gnu.org/software/pspp/";
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description = "Free replacement for SPSS, a program for statistical analysis of sampled data";
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license = lib.licenses.gpl3Plus;
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longDescription = ''
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PSPP is a program for statistical analysis of sampled data. It is
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a Free replacement for the proprietary program SPSS.
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PSPP can perform descriptive statistics, T-tests, anova, linear
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and logistic regression, cluster analysis, factor analysis,
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non-parametric tests and more. Its backend is designed to perform
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its analyses as fast as possible, regardless of the size of the
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input data. You can use PSPP with its graphical interface or the
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more traditional syntax commands.
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'';
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platforms = lib.platforms.unix;
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};
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}
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