Python wrapper around Dakota
Project description
Carolina
Carolina is a pyDAKOTA fork maintained by Equinor. Its raison d'être is to have easier building of a Python Dakota wrapper, without any MPI support. Carolina supports Python version 3.8, 3.9, 3.10, 3.11, 3.12
Installation
For Linux and MacOS:
pip install carolina
Otherwise, build Carolina youself as described below.
Building and installing Carolina
In order to build Carolina, Boost, including Boost.Python, and Dakota must be installed. This requires CMake and a C/C++ compiler. It is recommended to check the build scripts at .github/workflows/bundle_with_dakota_*
where the full installation is described. The installation will likely vary across different operating systems. Roughly speaking, the following steps must be done:
-
Install CMAKE
-
Install Boost with correct python version (NOTE: you may need to edit the python version into the project-config.jam if on MacOS, see the excerpt from the MacOS install script below)
python_version=$(python --version | sed -E 's/.*([0-9]+\.[0-9]+)\.([0-9]+).*/\1/') python_bin_include_lib=" using python : $python_version : $(python -c "from sysconfig import get_paths as gp; g=gp(); print(f\"$(which python) : {g['include']} : {g['stdlib']} ;\")")" sed -i '' "s|.*using python.*|$python_bin_include_lib|" project-config.jam
-
Install dakota
- after downloading, replace
<DAKOTA_VERSION>
with the dakota version, for example 6.18 - In order to install Dakota to a specific folder, use
-DCMAKE_INSTALL_PREFIX="<INSTALL_DIR>"
as part of the cmake invocation.
cd dakota-<DAKOTA_VERSION>-public-src-cli mkdir -p build cd build cmake \ -DCMAKE_CXX_STANDARD=14 \ -DBUILD_SHARED_LIBS=ON \ -DDAKOTA_PYTHON_DIRECT_INTERFACE=ON \ -DDAKOTA_PYTHON_DIRECT_INTERFACE_NUMPY=ON \ -DDAKOTA_DLL_API=OFF \ -DHAVE_X_GRAPHICS=OFF \ -DDAKOTA_ENABLE_TESTS=OFF \ -DDAKOTA_ENABLE_TPL_TESTS=OFF \ -DCMAKE_BUILD_TYPE='Release' \ -DDAKOTA_NO_FIND_TRILINOS:BOOL=TRUE \ .. make -j4 install
This step is the one that might be the most tricky to get working on your local OS. It expects a number of packages to be found, including
libgfortran
,eigen
,lapack
,numpy
, and for the appropriate libraries to be onLD_LIBRARY_PATH
(linux)/DYLD_LIBRARY_PATH
(MacOS). Build errors often arise from (1) the package not being installed or (2) library folders/files of the installed package not being on the library path (LD_LIBRARY_PATH
for linux orDYLD_LIBRARY_PATH
for MacOS). - after downloading, replace
-
After installing Dakota, it is possible to run
pip install .
as it will look for the following environment variables:
-
The
BOOST_ROOT
environment variable can be set to the location of the boost library containing the foldersinclude
andlib
, if they are not already included globally. -
The
BOOST_PYTHON
can be set if a given version ofboost_python
is needed. For instance if Python 3.8 is to be used:export BOOST_PYTHON=boost_python38
By default the installation script will try to guess the
boost_python
version from the minor version of Python, i.e. for Python 3.10, it will tryboost_python310
. -
It also expects
dakota
binary executable to be on the systemPATH
. To verify this, see if you can typedakota
in the terminal and run it without errors. Then, try start up python and see if you canimport dakota
. If these two "tests" pass, you should be able to install Carolina.
Carolina can then be installed with:
pip install .
The library can then be tested by entering the tests directory and execute:
pytest
In the case of testing newer versions of Dakota, scripts can be found in the script folder.
Carolina requires Dakota 6.18, but will work with older versions as well. Pathes can be reverted to allow for building against versions prior to 6.13 or 6.16.
From Dakota version 6.13 a different set of boost libraries is needed: instead of boost_signals
, boost_program_options
is used.
From Dakota version 6.16 a small change was made in the Python interface.
From Dakota version 6.18 a file was removed from the source and build script was altered.
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