IDAKLU solver
Standalone repository for the C/C++ solvers used in PyBaMM
Installation
From PyPI:
pip install pybammsolvers
And from conda-forge (>=v0.7.0 only):
conda install pybammsolvers
# or mamba install pybammsolvers
Solvers
The following solvers are available:
- PyBaMM's IDAKLU solver
Development
Local builds
For testing new solvers and unsupported architectures, local builds are possible.
The build backend is scikit-build-core;
build-time dependencies (scikit-build-core, pybind11, cmake, ninja) are
resolved automatically via PEP 517 isolation when running pip install.
SUNDIALS and SuiteSparse are compiled automatically from the bundled git submodules during the build, so initialise the submodules first.
Nox (Recommended)
Nox can be used to do a quick build:
pip install nox
nox
This will setup an environment and attempt to build the library.
MacOS
Mac dependencies can be installed using brew
brew install libomp
brew reinstall gcc
git submodule update --init --recursive
pip install .
Linux
Linux installs may vary based on the distribution, however, the basic build can be performed with the following commands:
sudo apt-get install libopenblas-dev gcc gfortran make g++ build-essential
git submodule update --init --recursive
pip install .
Custom SUNDIALS / SuiteSparse paths
If SUNDIALS and SuiteSparse are installed somewhere other than ./.idaklu,
pass paths through pip's --config-settings:
pip install . \
--config-settings=cmake.define.SUNDIALS_ROOT=/path/to/sundials \
--config-settings=cmake.define.SuiteSparse_ROOT=/path/to/suitesparse
Editable installs and rebuilding the C++ extension
pip install -e .[dev] installs in editable mode with auto-rebuild on import:
edits to C++ sources trigger a rebuild the next time pybammsolvers is
imported. To force a rebuild manually (e.g. when auto-rebuild is bypassed in
CI):
nox -s dev-rebuild
Building a wheel or sdist
Build distributions with an isolated PEP 517 frontend, which installs the build backend itself:
python -m build # or: pipx run build
uv build does not work here: the workspace marks pybammsolvers as
no-build-isolation-package (so the editable auto-rebuild can find the build
tools in the project venv), and uv then does not install the build backend into
its own build environment. The release CI uses python -m build for this reason.
Testing
The project includes comprehensive test suites:
Unit Tests
Test pybammsolvers functionality in isolation:
nox -s unit # Run all unit tests
nox -s integration # Run all integration tests
Benchmarks
Test for performance regressions against released PyBaMM:
nox -s benchmarks
Metadata
Release files for pybammsolvers 0.11.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pybammsolvers-0.11.0.tar.gz | 94.8 kB | Details |
Built distributions (wheels)
Total release size: 133.7 MB
Release files / pybammsolvers-0.11.0.tar.gz
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| Tags | Source |
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