ntrfc 0.2.5

Numerical Test Rig for Cascades.

• Free software: MIT license

• Documentation: https://ntrfc.readthedocs.io.

• NTRfC is the base of the (NTRFlows)[https://gitlab.uni-hannover.de/tfd_public/tools/NTRFlows] repository, a workflow for cfd parameter studies

Features

Easy geometry and post-processing visualization and manipulation with pyvista. Tested methods and functions for math, time-series, and mesh quality analysis.

Dependencies

• libgl1-mesa-glx (graphics driver)

• xvfb (virtual Display)

• libglu1-mesa (gmsh dependency)

• libxcursor1 (gmsh dependency)

• libxinerama1 (gmsh dependency)

• libxft2 (gmsh dependency)

Python requirement is Python>=3.10. Current NTRfC versions are based on Python 3.11. Only versions <v0.1.0 can be used with older versions of Python. Library requirements will be installed with the package itself. Installation

NTRfC is utilizing powerful and complex dependencies like pyvista,open3d and gmsh. We strongly recommend using virtual or conda environments for installation.

For more information, see:

virtualenv: https://pypi.org/project/virtualenv/ miniconda: https://docs.conda.io/en/latest/miniconda.html anaconda: https://docs.anaconda.com/anaconda/install/index.html mamba: https://mamba.readthedocs.io/en/latest/installation.html

Installation

Installation from pypi

pip install ntrfc

Installation from gitlab with pip

pip install git+https://gitlab.uni-hannover.de/tfd_public/tools/NTRfC.git

Installation from source

After cloning the repository, go to the project root dir and type

python setup.py install

Editable installation from source with pip

After cloning the repository, go to the project root dir and type

pip install -e .

This way you have NTRfC installed but the code is not installed, but linked to the source-code. You don’t have to reinstall the package after your edits. This speeds up testing and will lead to less debugging time.

Singularity releases

Use a singularity container from ntrfc singularity releases: https://cloud.sylabs.io/library/nyhuma/ntrflows/ntr.sif]. The containers will come with a virtual graphics card and a xvfb display-server, enabling you to render on hpc-systems and any other unprepared system with limited graphics capability.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template. It uses the following libraries:

• [pyvista](https://github.com/pyvista)

• [gmsh](http://gmsh.info/)

• [Cookiecutter](https://github.com/audreyr/cookiecutter)

• [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage)