From 7ce4351740074bcbf8972851750598b5b8b78af8 Mon Sep 17 00:00:00 2001 From: hanemile Date: Fri, 5 Jan 2018 18:39:58 +0100 Subject: clean version without telegram-send --- src/python/coord_clean.py | 117 ++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 117 insertions(+) create mode 100644 src/python/coord_clean.py (limited to 'src') diff --git a/src/python/coord_clean.py b/src/python/coord_clean.py new file mode 100644 index 0000000..85f578d --- /dev/null +++ b/src/python/coord_clean.py @@ -0,0 +1,117 @@ +#!/usr/bin/env python + +# import libraries +import time +import numpy as np +import sys + +# define the number of stars that should be generated +nos = int(sys.argv[1]) + +# define some arrays for storing the values +arr_stars = np.zeros((int(nos), 3)) +arr_saved_stars = np.zeros((int(nos), 3)) + +# define various paths +path = "data/2e7.csv" +save_path = "stars/" + sys.argv[2] + ".csv" +# star13 -> 586 stars + +# define the random-value range [rho_min; rho_max] +rand_min = 0 +rand_max = 1477.1586582000994 + +# define the range (size) of the galaxy +range_min = -1e7 +range_max = 1e7 + +# main function +def main(): + + # define the variables for storing the amount of stars kept or kicked away + stars_kept = 0 + stars_kicked = 0 + i = 0 + + # start the timer + start = time.time() + + # open the rho file + with open(path) as data: + + # read out the lines from the rho file + rho_file = data.readlines() + + # for every star... + # for i in range(0, nos): + while(stars_kept < nos): + + # generate the random star-coordinates + x = np.random.uniform(range_min, range_max, size=1) + y = np.random.uniform(range_min, range_max, size=1) + z = np.random.uniform(range_min, range_max, size=1) + + # calculate the distance of the star to the center of the galaxy + r = np.sqrt(pow(x, 2) + pow(y, 2) + pow(z, 2)) + # print(round(int(r), 0)) + + # generate a random value in the range [rand_min; rand_max] + a = np.random.uniform(rand_min, rand_max, size=1) + # print(a) + # read out the corresponding rho value from the lookuptable (rho-file) + b = float(rho_file[round(int(r), 0)].split(", ")[1].strip("\n")) + + # if the random value is smaller than the corresponding rho value + if(a < b): + # add the coordinate to arr_saved_stars + arr_saved_stars[stars_kept][0] = x + arr_saved_stars[stars_kept][1] = y + arr_saved_stars[stars_kept][2] = z + + # increment the star_kept counter + stars_kept += 1 + print(stars_kept) + + else: + # increment the star_kicked counter + stars_kicked += 1 + + # increment i + i = i + 1 + + print("") + end = time.time() + whole_time = end - start + out = ">> Finished generating stars in " + str(whole_time) + " seconds\n" + print(out) + + # write the star coordinates to a file + start_write_file = time.time() + print(">> Writing the star-data to " + save_path) + with open(save_path, "a") as stars_data: + for i in range(0, nos): + x = arr_saved_stars[i][0] + y = arr_saved_stars[i][1] + z = arr_saved_stars[i][2] + + stars_data.write(str(x) + ", " + str(y) + ", " + str(z) + "\n") + + end_write_file = time.time() + time_write_file = end_write_file - start_write_file + out = ">> Finished writing star-data to " + save_path + " in " + str(round(time_write_file, 4)) + " seconds\n" + print(out) + + time_all = whole_time + time_write_file + + time_min = round(time_all / 60, 1) + + # print some stats + print("") + print("{:<20}{:<20}".format("Time (complete)", str(round(time_all, 4)) + " seconds")) + print("{:-<40}".format("")) + print("{:<20}{:<20}".format("Number of Stars", str(nos))) + print("{:<20}{:<20}".format("Stars Kicked:", str(stars_kicked))) + print("{:<20}{:<20}".format("Percent: ", str( nos / stars_kicked * 100 ) + "%")) + +if __name__ == "__main__": + main() -- cgit 1.4.1