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dlma/scripts/setup_simulation_rsp_3d.py
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setup_simulation_rsp_3d.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 3 14:09:31 2023
@author: samarth
"""
import pandas as pd
import os
import sys
from pathlib import Path
from joblib import Parallel, delayed
from matplotlib import pyplot as plt
import numpy as np
from sklearn.linear_model import LinearRegression
from random import random, seed
def create_dirs(phi, N, seed_pct, dim):
global D
D = dim
global params_dir
phi_str = format(phi, '.8f')
params_dir = './'+str(D)+'d/params/phi='+phi_str+'/seed_pct='+str(seed_pct)+'/L='+str(N)+'/'
path = Path(params_dir)
try:
path.mkdir(parents=True, exist_ok=True)
except OSError:
pass
else:
pass
global results_dir
results_dir = './'+str(D)+'d/results/phi='+phi_str+'/seed_pct='+str(seed_pct)+'/L='+str(N)+'/'
path = Path(results_dir)
try:
path.mkdir(parents=True, exist_ok=True)
except OSError:
pass
else:
pass
global config_files_dir
config_files_dir = './'+str(D)+'d/config_files/phi='+phi_str+'/seed_pct='+str(seed_pct)+'/L='+str(N)+'/'
path = Path(config_files_dir)
try:
path.mkdir(parents=True, exist_ok=True)
except OSError:
pass
else:
pass
def run_simulation(phi, L, seed_pct, rng_seed):
lattice=1
params_file = params_dir+'params_'+str(rng_seed)+'.csv'
file = open(params_file, "w")
file.write("system=random_site_percolation\n")
file.write("lattice="+str(lattice)+"\n")
file.write("D="+str(D)+"\n")
file.write("phi="+str(phi)+"\n")
file.write("seed_pct="+str(seed_pct)+"\n")
for axis in range(D):
file.write("x"+str(axis)+"_bc=periodic\n")
for axis in range(D):
file.write("x"+str(axis)+"_L="+str(L)+"\n")
file.write("rng_seed="+str(rng_seed)+"\n")
file.close()
print("phi = {}, L={},rng_seed={} simulation".format(phi,L,rng_seed))
config_filename=config_files_dir+str(rng_seed)+'.csv'
command = 'simulation '+params_file+' '+config_filename
os.system(command)
#print(command)
print("phi = {}, L={},rng_seed={} lbp".format(phi,L,rng_seed))
rog_filename=results_dir+'lbp_'+str(rng_seed)+'.csv'
command = 'lb_bonds_clusterwise_invA ' + config_filename +' ' + rog_filename
os.system(command)
command = 'rm ' + config_filename
os.system(command)
#phi=0.15
seeds=100
seed_pct=100
dim = 3
L_range = [10,20,40,60,80,100,150,200]
phi_min = 0.005
phi_max = 0.05
phi_c = 0.311608
phi_min += phi_c
phi_max += phi_c
total_steps = 15
d_phi = (np.log(phi_max/phi_min))/(total_steps)
phi_range = []
for i in range(total_steps):
temp_phi = phi_min * np.exp(i * (d_phi))
phi_range.append(temp_phi)
for L in L_range:
for i in phi_range:
create_dirs(i, L, seed_pct, dim)
Parallel(n_jobs=10)(delayed(run_simulation)(i, L, seed_pct, rng_seed) for rng_seed in range(seeds))
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