RunSingle.py

'''
    RunSingle
    Start a simulation of the agent-based model by launching cpp-code 'swarmdyn'
    with the here defined parameters.
    Also visualizes the simulation by calling the script "AnimateRun.py".
    v0.1, 13.5.2020

    (C) 2020 Pascal Klamser

    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <http://www.gnu.org/licenses/>.
'''
import os
import time as pytime
import matplotlib
if __name__ == '__main__':
    matplotlib.use('TkAgg')
import SwarmDynByPy as swarmPy
import AnimateRun
import json
from pathlib import Path

def main():
    # Input Parameters
    #########################################

    trans_time = 20
    record_time =  120

    outpath = ''
    dic = dict()
    dic = swarmPy.get_base_params(record_time, trans_time=trans_time)
    # changes from base-parameters
    dicC = dict()
    dicC['N'] = 400
    dicC['beta'] = 2 # relaxation coefficient
    f_name = ''
    keys = sorted(list(dicC.keys()))
    for k in keys:
        f_name += '{}{}'.format(k, dicC[k])
        dic[k] = dicC[k]
    print(f_name)


    # Generate and Run Command
    #########################################
    swarmPy.solve_parameter_dependencies(dic)
    f_para = Path.cwd() / 'parameters.json'
    json.dump(dic, f_para.open('w', encoding='utf-8'), indent=4, ensure_ascii=False)
    command = swarmPy.dic2swarmdyn_command(dic)
    print(command)
    t0 = pytime.time()
    os.system('make cl;')
    os.system(command)
    t1 = pytime.time()
    print(t1-t0)
    size = None
    if 'BC' in dicC.keys():
        size = dicC['size']
    AnimateRun.main(None, size=size)

    # reproducible movies:
    if False:
        outpath = Path('/home/klamser/Seafile/PoSI_EmergentStructure/Data/Videos_simu/xso_BoundaryN400')
        outpath = Path('/home/klamser/Seafile/PoSI_EmergentStructure/Data/SimuPPK/')
        outpath /= f_name
        swarmPy.reproducible(outpath)

    return

if __name__ == '__main__':
    main()