Delete DCNumPro_config.py

DCNumPro_config.py

-"""
-Droplet Contact Numbers and Probabilities (DCNumPro)
-
-Determine droplet contact numbers and probabilities based on 
-the median and the standard deviation of a droplet size distribution.
-
-Source code of DCNumPro: https://git.rwth-aachen.de/avt-fvt/public/contact-numbers-and-probabilities/
-DCNumPro uses a 3D cell-based Voronoi library based on voro++: https://github.com/wackywendell/tess
-
-The source code of DCNumPro is licensed under the Eclipse Public License v2.0 (EPL 2.0).
-Copyright (c) 2024 Fluid Process Engineering (AVT.FVT), RWTH Aachen University.
-Written by Stepan Sibirtsev & Andrey Kirsanov
-
-The coyprights and license terms are given in LICENSE.
-
-In this script configurations for the DCNumPro_main.py script are set.
-Script version date: 23.11.2024
-"""  
-# Perform on cluster? False = no, True = yes
-# If cluster = True, no further configuration is required since the configuration is performed in the .JOB file
-# Default: False
-cluster = False
-# Graphically display particles in 3D? False = no, True = yes
-# Extremly time consuming at high paticle numbers.
-# Default: False
-display_particles = False
-# Final test for overlaps after random loose packing simulation? False = no, True = yes
-# Default: True
-final_test = True
-# Display detailed progress status of random loose packing simulation at each step? False = no, True = yes
-# Useful for developers.
-# If False, only overall percentage progress will be displayed.
-# Default: False
-display_detailed_progress = False
-# Display solver warnings? False = no, True = yes
-# Useful for developers.
-# Default: False
-display_solver_warnings = False
-# Output Excel file.
-# Default: Test
-name_excel_file = 'Test'
-# Number of initial particles.
-# Default: 5000
-n_particles_sim = 5000
-# Number of classes.
-# Default: 10
-n_classes = 10
-# Droplet size distribution type. 0 = log-normal, 1 = Gaussian
-# Default: 0
-dsd_type = 0
-# Median of the droplet size distribution.
-# Not the mean of log values in case of log-normal DSD!
-# Default: 330
-mu = 330
-# Standard deviation of the droplet size distribution.
-# Not the standard deviation of log values in case of log-normal DSD!
-# Default: 130
-sigma = 130
-# Estimated packing hold-up after random loose packing simulation. 
-# Defines the height-width-depth ratio of the simulation environment (cube).
-# Default: 0.55
-holdup_est = 0.55
-# Random seed for the random loose packing simulation.
-# Default: 5
-seed = 5
-# Number of CPU cores for multiprocessing. 0 = automated determination of available cores.
-# Default: 0
-n_cores = 6
-# Hold-up steps at constant growth to calculate the grow factors for the growth simulation.
-# Default: 0.025
-holdup_delta_const = 0.2
-# Hold-up steps at non-constant growth to calculate the grow factors for the growth simulation.
-# Default: 0.2
-holdup_delta_nonconst = 0.2
-# Stepsize for the random loose packing simulation.
-# Default: 1
-stepsize = 1
-""" Configuration ends here """
-
-# Assign parameter to int and float
-n_particles_sim = int(n_particles_sim)
-n_classes = int(n_classes)
-holdup_est = float(holdup_est)
-seed = int(seed)
-n_cores = int(n_cores)
-holdup_delta_const = float(holdup_delta_const)
-holdup_delta_nonconst = float(holdup_delta_nonconst)
-stepsize = float(stepsize)
-dsd_type = int(dsd_type)
-mu = float(mu)
-sigma = float(sigma)
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