Technical Details
Dependencies
PyPEEC is entirely programmed in Python 3 and has the following dependencies:
PyYAML (configuration file format)
NumPy, SciPy, and Joblib (numerical libraries)
Pillow (for the mesher, image manipulation)
Shapely and Rasterio (for the mesher, 2D shape manipulation)
VTK and PyVista (for the mesher, 3D shape manipulation)
Additionally, the following libraries are used for the plotter and viewer:
Matplotlib and PyQt5 (2D plots)
VTK, PyVista, PyVistaQt, and PyQt5 (3D plots)
The following optional packages can be used for speeding up the solver:
PyAMG (pure Python solver)
UMFPACK (available through SciKits)
MKL/PARDISO (available through Pydiso)
FFTW (available through pyFFTW)
CuPy (using GPUs through CUDA)
If you deploy PyPEEC on computing nodes, the GUI libraries (Matplotlib, PyVistaQt, PyQt5) are not required. Inside Jupyter notebooks, IPyWidgets and Trame are used for the rendering.
Supported Platforms
The main target platform of PyPEEC is Linux on x86/x64:
Linux / RedHat 7.9 on x86/x64
Linux / Debian 12.4 on x86/x64
Linux / Ubuntu 20.04 on x86/x64
Linux / Ubuntu 22.04 on x86/x64
The following platforms and systems have been partially tested:
Apple / macOS Monterey 12 on x86/x64
Apple / macOS Ventura 13 on M1 Pro
MS Windows / Pro 10 on x86/x64
MS Windows / Pro 11 on x86/x64
The following GPUs have been tested (CUDA / CuPy compatible):
GPU / NVIDIA RTX 2070
GPU / NVIDIA T4 Tensor
GPU / NVIDIA Tesla K80
GPU / NVIDIA RTX 3090
The following platforms are passing the automated tests:
Linux / Ubuntu 22.04 on x86/x64
Microsoft / Windows Server 2022 on x86/x64
Apple / macOS Monterey 12 on x86/x64
The following Python version are passing the automated tests:
CPython 3.9
CPython 3.10
CPython 3.11
CPython 3.12
Logger Configuration File
The default logger configuration file is located in
pypeec/data/logger.yaml
.A custom logger configuration file can set with an environment variable.
If the
PYTHONLOGGER
variable is not set, the default configuration is kept.If the
PYTHONLOGGER
variable is is set, the default configuration is replaced.The
PYTHONLOGGER
variable should contain a path towards the YAML configuration.
Packaging and Environment
List of Python dependencies (pinned versions):
requirements.txt
Package definition with dependencies (minimum versions):
pyproject.toml
Conda file with the minimum requirements for PyPEEC:
conda_base.yaml
Conda file including the optional and development packages:
conda_dev.yaml
Conda feedstock recipe: https://github.com/conda-forge/pypeec-feedstock
Tests and Documentation
The documentation is located in the
docs
folder (using thesphinx
generator).The tests are located in the
tests
folder (using theunittest
framework).The tests are checking that the examples are running correctly.
Only integration tests currently exist (no unit tests).
Scripts
scripts/run_tests.sh
: run all the tests.scripts/run_coverage.sh
: run a code coverage analysis.scripts/run_build.sh
: build the Python package and build the HTML documentation.scripts/run_release.sh
: create a release (tag, release, package, and documentation).
Contributing
PyPEEC is welcoming contributions (code, documentation, example, benchmark, test, tutorial, etc.) ! For large changes, please first discuss the change you wish to make in the issue tracker.
Bug report
Please include a clear and concise description of what the bug is. Ideally, provide a minimal working example for the bug.
Additionally, please report the following parameters:
* The version of the PyPEEC you are using.
* The platform/hardware you are using.
* The version of Python and of the relevant dependencies.
* For PyVista related bugs, please include the pyvista.Report
output.
* For NumPy related bugs, please include the numpy.show_config
output.
* For SciPy related bugs, please include the scipy.show_config
output.