srt_script.py
b381300590a9master

srt_script.py
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			#!/usr/bin/env python3
			# -- coding: utf-8 --
			"""
			Created on Fri Apr 4 04:21:08 2025

			@author: samarth
			"""

			#!/usr/bin/env python3
			# -- coding: utf-8 --
			"""
			Created on Fri Jun 4 13:56:09 2021

			@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 run_simulation(config_filename, result_filename, num_rays):

			command = "../../postprocessing/bin/stochastic_ray_tracing " + config_filename + " " + result_filename + " " + format(num_rays, ".0f")
			os.system(command)


			os.system('cd ../../postprocessing/; make stochastic_ray_tracing')

			configs = []
			results = []
			num_rays = 1e6

			with open('./srt_filenames.txt', 'r') as file:
			for line in file:
			line = [line.rstrip('\n')]
			configs.append(line)

			for config in configs:
			config.append(config[0].replace('config_files', 'results'))




			num_processors = 80
			Parallel(n_jobs=num_processors)(delayed(run_simulation)(config[0], config[1], num_rays) for config in configs)


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