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Package Details: espressomd-git 3.4.dev.r13633.ff32b09e5-1
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Git Clone URL: | https://aur.archlinux.org/espressomd-git.git (read-only, click to copy) |
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Package Base: | espressomd-git |
Description: | ESPResSo is a software package for performing and analyzing Molecular Dynamics simulations. |
Upstream URL: | http://espressomd.org/wordpress/ |
Licenses: | GPL |
Conflicts: | espressomd |
Provides: | espressomd |
Submitter: | Raketenjoint |
Maintainer: | None |
Last Packager: | Raketenjoint |
Votes: | 0 |
Popularity: | 0.000000 |
First Submitted: | 2019-06-16 21:23 (UTC) |
Last Updated: | 2019-09-07 20:20 (UTC) |
Dependencies (16)
- python (python37AUR, python311AUR, python310AUR)
- python-mdanalysisAUR
- python-numpy (python-numpy-flameAUR, python-numpy-gitAUR, python-numpy1AUR, python-numpy-mkl-tbbAUR, python-numpy-mklAUR, python-numpy-mkl-binAUR)
- python-opengl
- python-sphinx (python-sphinx-gitAUR)
- python-sphinxcontrib-bibtex
- boost (boost-gitAUR) (make)
- cmake (cmake-gitAUR) (make)
- fftw (fftw-amdAUR) (make)
- gcc (gcc-gitAUR, gccrs-gitAUR, gcc11AUR, gcc-snapshotAUR) (make)
- git (git-gitAUR, git-glAUR) (make)
- openmpi (openmpi-gitAUR) (make)
- cuda (cuda11.1AUR, cuda-12.2AUR, cuda12.0AUR, cuda11.4AUR, cuda11.4-versionedAUR, cuda12.0-versionedAUR) (optional) – Build with NVIDIA GPU support
- hdf5 (hdf5-gitAUR, hdf5-openmpi) (optional) – File format to store scientific data
- hdf5-openmpi (optional) – File format to store scientific data (openmpi version)
Latest Comments
weshouman commented on 2022-10-23 09:19 (UTC)
python-sphinx<2.1.0 is not found
, worked around that by removing the constraint to bepython-sphinx
onlypython-griddataformats
failed due to the wrong sha256sum. I surpassed that by correcting thepython-griddataformats
sha256sum and installing it with makepkg.Raketenjoint commented on 2019-09-07 20:24 (UTC)
You are right, that gcc-8 and g++-8 should be used for CUDA as it doesn't support brand new gcc-9. The error message is: /usr/include/c++/9.1.0/bits/stl_function.h(437): error: identifier "__builtin_is_constant_evaluated" is undefined I changed the make parameters accordingly.
You removed all version restrictions on the dependencies. Please not that python-sphinx has an unfixed upstream bug on the latest 2.1.0 release: https://github.com/sphinx-doc/sphinx/issues/6440
hseara commented on 2019-09-05 10:33 (UTC) (edited on 2019-09-05 10:53 (UTC) by hseara)
Package does not compile, you can use this OKGBUILD instead: