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README.md
README.md

  1. Install Microsoft Visual C++ 14.0

  2. Download the Laguerre Tessellation Tool: https://github.com/wackywendell/tess

  3. Download the Droplet Contact Numbers and Probabilities scripts (DCNumPro_XYZ.py) and the conda environment suitable for your operating system (DCNumPro_windows.yml for Windows or DCNumPro_linux.yml for Linux): https://git.rwth-aachen.de/avt-fvt/public/contact-numbers-and-probabilities

  4. Put the DCNumPro_XYZ.py and DCNumPro_windows.yml (or DCNumPro_linux.yml) files into the main folder of the Laguerre Tessellation Tool (tess-master)

  5. Open the DCNumPro_main.py script with an code editor and install the environment DCNumPro.yml (or DCNumPro_linux.yml):

  • conda env create -f DCNumPro_windows.yml or
  • conda env create -f DCNumPro_linux.yml

  1. Install the Laguerre Tessellation Tool: python setup.py build_ext -i

  2. Set configuration parameters in DCNumPro_config.py and run the DCNumPro_main.py script.

...

  1. Script description and content:
  • DCNumPro_main.py --> This is the main script to execute DCNumPro.
  • DCNumPro_config.py --> In this script configurations for the DCNumPro_main.py script are set.
  • DCNumPro_DSD.py --> This script contains all functions related to droplet size distribution (DSD).
  • DCNumPro_RLP.py --> This script contains all functions related to the random loose packing (RLP).
  • DCNumPro_grow.py --> This script contains all functions related to the droplet grow algorithm.
  • DCNumPro_ContProb.py --> This script contains all functions to determine contact numbers and probabilities.
  • DCNumPro_plot.py --> This script contains all functions for plotting.
  • DCNumPro_excel.py --> This script contains all functions to export the results to excel.
  1. Troubleshooting

a) If you have problems with conda not finding the packages when creating the environment, try to add conda channels:

  • conda config --append channels conda-forge
  • conda config --append channels anaconda

b) If you have problems with creating the environment using the .YML file, try manual creation:

conda create -n DCNumPro python=3.10 xlwt numpy pandas sympy scipy cycler matplotlib sphinx sphinx_rtd_theme cython tqdm