Installation and Usage¶
This set of instructions is intended for 64-bit Linux and macOS computers.
Make sure your system has the basics to build software.
On Debian derivatives (Ubuntu and many more), installing
build-essentialshould do the trick.
On macOS, run
xcode-select --installto install build tools.
Everywhere else, just making sure you have the
g++package should be enough.
curl -L -O https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh bash ./Miniforge3-*.sh
If you accepted the default location, this should work:
$CONDA/bin/conda create -n inteq
source $CONDA/bin/activate inteq
Then, on Linux:
conda install cython git pip pocl islpy pyopencl sympy pyfmmlib pytest
Type the following command:
hash -r; for i in pymbolic cgen genpy gmsh_interop modepy pyvisfile loopy boxtree sumpy arraycontext meshmode pytential; do python -m pip install --editable "git+https://github.com/inducer/$i#egg=$i"; done
And on macOS:
conda install compilers cython git pip pocl islpy pyopencl sympy pyfmmlib pytest
Type the following command:
hash -r; for i in pymbolic cgen genpy gmsh_interop modepy pyvisfile loopy boxtree sumpy arraycontext meshmode pytential;do CC=clang python -m pip install --editable "git+https://github.com/inducer/$i#egg=$i"; done
In each case, you may leave out the
--editable flag if you would not like
a checkout of the source code.
Next time you want to use
pytential, just run the following command:
source /WHERE/YOU/INSTALLED/miniforge3/bin/activate inteq
You may also like to add this to a startup file (like
$HOME/.bashrc) or create an alias for it.
Troubleshooting the Installation¶
/usr/bin/ld: cannot find -lstdc++¶
sudo apt-get install libstdc++-6-dev
to install the missing C++ development package.
Assertion ‘error == 0’¶
If you get:
/opt/conda/conda-bld/home_1484016200338/work/pocl-0.13/lib/CL/devices/common.c:108: llvm_codegen: Assertion 'error == 0 ' failed. Aborted (core dumped)
then you’re likely out of memory.
Logging output for scripts that use
pytential may be controlled on a
per-module basis through the environment variables
log_level. The variable for the desired level should be set to a
colon-separated list of module names. Example usage:
PYTENTIAL_LOG_DEBUG=pytential:loopy PYTENTIAL_LOG_INFO=boxtree python test.py
Note: This feature is incompatible with
pytential is licensed to you under the MIT/X Consortium license:
Copyright (c) 2012-13 Andreas Klöckner
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Andreas Klöckner’s work on
pytential was supported in part by
US Navy ONR grant number N00014-14-1-0117
the US National Science Foundation under grant numbers DMS-1418961 and CCF-1524433.
AK also gratefully acknowledges a hardware gift from Nvidia Corporation. The views and opinions expressed herein do not necessarily reflect those of the funding agencies.