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

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

Owner

PyPI data
Data sourced directly from PyPI's database.

Requires

Python <3.15, >=3.10

Provides Extra

dev

Report project as malware

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