A lightweight, Apache 2.0 distribution of Matthieu Ancellin's Capytaine BEM code.

Requirements

• Conda is recommended for managing your Python distribution, dependencies and environment:
  • https://docs.conda.io/en/latest/miniconda.html
  • current development efforts are based on Python 3.9
• Microsoft Visual Studio is required for linking the fortran binaries
  • https://visualstudio.microsoft.com/downloads/
  • during installation check the box to include "Desktop development with C++"
• Intel oneAPI HPC toolkit is required for compiling the fortran binaries (you do not need the base kit)
  • https://www.intel.com/content/www/us/en/developer/tools/oneapi/hpc-toolkit-download.html
  • install to the default file location
• create "LIB" environment variable to point towards the intel directory for compiler ".lib" files
  • if oneAPI is installed to the default location, assign the LIB user variable a value of: "C:\Program Files (x86)\Intel\oneAPI\compiler\2022.1.0\windows\compiler\lib\intel64_win"
  • if oneAPI is installed to a different location then adjust the path above as necessary

Installation for Users

Recommended approach:

• Open the anaconda powershell and create a new environment for the LiteBEM project (e.g. "liteBemProject")

  > conda create --name liteBemProject python

• Install LiteBEM from PyPI by entering the following command within your new environment

• > conda activate liteBemProject
  > python -m pip install litebem

Installation for Developers

Recommended approach:

• Open the anaconda powershell and create a new Python 3.9 environment for LiteBEM-related development (e.g. "liteBemDev")

  > conda create --name liteBemDev python=3.9

• Install numpy (numpy's f2py is required to compile Fortran code) within your LiteBEM development environment:

  > conda activate liteBemDev
  > pip install numpy

• Clone the LiteBEM repo to your preferred location (e.g. "C:/code/")

  > cd C:/code/
  > git clone https://github.com/dav-og/LiteBEM.git

• Install LiteBEM as a developer!

  > cd LiteBEM
  > pip install -e .

• Be sure to check setup.py => install_requires = [...] to ensure that your environment has all required packages installed. You can check your environment's packages using:

  > conda list

  • If any packages are missing simply install them using:

    > pip install <package name>

Run Tests

• Make sure pytest is installed in your working environment:

  (liteBemDev) > conda list

  • if its not installed then do:

    (liteBemDev) > pip install pytest

• Navigate to LiteBEM and run:

  (liteBemDev) > pytest tests/unit/preprocessor_unit_tests.py
  (liteBemDev) > pytest tests/unit/solver_unit_tests.py

Tutorials

• For a tutorial on how to use LiteBEM, it is currently recommended that users utilize Capytaine's documentation, as it remains largely consistent with LiteBEM