| Commit message (Collapse) | Author | Age |
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Fix build with cudatoolkit9.
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Also return 8.0-6.0 version for TensorFlow.
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Make it the default.
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This way one may build packages requiring old CUDA Toolkit with usual stdenv;
only bits which are compiled with NVCC would use older GCC.
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Make CUDA Toolkit 9 the default choice.
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Fixes build with new Boost.
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Fixes build with new Boost. Also add corresponding patch to
libtorrentRasterbar_1_0.
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Update Boost to 1.65 and make it default
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Not built by default.
Also add enablePython flag (enabled by default) and cleanup a bit.
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Also cleanup inputs.
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Thousands of rebuilds from master.
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For a long time.
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kexectools: 2.0.14 -> 2.0.15
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The build for the version 5.4.0 of digiKam has been broken at the time
prior to this commit, which is the main reason for this update as I
don't think it makes sense to fix the build for 5.4.0 when we're going
to update it anyway.
A lot has changed upstream between version 5.4.0 and 5.7.0 and it's too
much to be summarized here, so here are the URLs to the upstream
announcements:
* https://www.digikam.org/news/2017-03-14_digiKam_5.5.0_is_released/
* https://www.digikam.org/news/2017-06-21-5.6.0-release-announcement/
* https://www.digikam.org/news/2017-09-11-5.7.0_release_announcement/
On the packaging side, we now no longer have the patch that disables
-fno-operator-names because the build runs fine without that patch
(which didn't even apply but I didn't check why) and IMO it doesn't make
sense to rebase that patch for no reason.
Additionally, there were build time dependencies lurking around in
propagatedBuildInputs, which is kinda pointless and the application just
runs fine if those dependencies are listed in buildInputs.
While looking for clues about why that might be necessary I haven't
found any comment about it in the source nor a clarification within the
message of the commit where this has been introduced.
The commit in question is be7b7d908f82e8ab16c43ffd0e240addd6f4018a.
Apart from these changes, the rest is just adding a few dependencies
(kcalcore, libksane, mesa and pcre) to get less errors during
cmakeConfigurePhase.
I've tested digiKam by playing around within a VM using photos I
netcat'ed into it and it works so far. The VM was built using:
nix-build nixos --arg configuration '{ pkgs, ... }: {
imports = [ ./nixos/tests/common/user-account.nix ];
environment.systemPackages = [ pkgs.digikam ];
services.xserver.enable = true;
services.xserver.displayManager.sddm.enable = true;
services.xserver.desktopManager.plasma5.enable = true;
services.xserver.desktopManager.default = "plasma5";
virtualisation.memorySize = 1024;
}' -A vm
What I didn't test however was whether importing from a camera would
work (as I don't have one), but aside from that, the application seems
to run fine compared to the fact that it didn't even build until now :-)
Signed-off-by: aszlig <aszlig@redmoonstudios.org>
Cc: @the-kenny, @urkud, @viric, @cillianderoiste, @ttuegel
Cc: @jraygauthier, @fkz, @sh01, @lsix
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This was actually already mentioned in the comment above version:
Awaiting upcoming `v1.12.0` release. `v1.11.0` is not supporting
cmake which is the the reason behind taking an unstable git rev.
So version 1.12.0 has been released in the meantime and it's also needed
by the latest version of digiKam, which is the only package in nixpkgs
that depends on libqtav.
As we're going to bump digiKam, I think bumping this is safe as in the
worst case we can only make things broken which are already broken
(digiKam currently doesn't build).
The fixes for the CMakeLists.txt are now also no longer needed, so we
can safely drop them as well.
Signed-off-by: aszlig <aszlig@redmoonstudios.org>
Cc: @jraygauthier
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Based on linux 4.13
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vscode: 1.17.1 -> 1.17.2
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oraclejdk: 8u144 -> 8u151, 8u152; 9 -> 9.0.1 [Critical security fixes]
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