voronoi.py
832ec305465fmaster

voronoi.py
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			#!/usr/bin/env python3
			# -- coding: utf-8 --
			"""
			Created on Fri Dec 13 15:25:01 2024

			@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
			import subprocess

			def voronoi(config_filename, result_filename):

			command="../../postprocessing/bin/voronoi_volumes "+config_filename+" "+ result_filename
			os.system(command)


			all_folders = []

			with open("list-samarth-configs.txt", "r") as file:
			for line in file:
			all_folders.append(line)

			foi = ['high_porosity_scaling', 'scaling_ns']
			config_filenames = []

			for name in foi:
			for folder in all_folders:

			if name in folder:
			config_filenames.append(folder.strip())

			result_filenames = []

			for filename in config_filenames:

			filename = filename.replace('config_files', 'results')
			idx = filename.rfind('/')
			filename = filename[:idx+1]+'vv_'+filename[idx+1:]
			result_filenames.append(filename.strip())


			size = len(result_filenames)

			os.system('cd ../../simulation_files; make simulation')
			os.system('cd ../../postprocessing/; make all')

			num_processors = 80
			Parallel(n_jobs=num_processors)(delayed(voronoi)(config_filenames[i], result_filenames[i]) for i in range(size))

			#os.system('cd ../../simulation_files/; make clean')
			#os.system('cd ../../postprocessing/; make clean')