Add distance to csv, backport changes to python script from master branch

This commit is contained in:
Quentin Legot 2023-04-13 12:40:34 +02:00
parent 753b1b5ead
commit 2307fd2567
3 changed files with 37 additions and 2 deletions

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@ -46,12 +46,33 @@ def delay(arr: list[tuple[int, np.ndarray]]) -> np.ndarray:
return delays
def rb_allocate_distance(arr: list[tuple[int, np.ndarray]], distance) -> np.ndarray:
allocate = np.zeros((size, 2))
nb = 0
arr.sort()
for nb_users, data in arr:
n = 0
for x in data[:,6]:
if int(x) == distance:
n+=1
allocate[nb, 0] = nb_users
allocate[nb, 1] = n
# print(n/data.shape[0])
nb += 1
return allocate
np_arr: list[tuple[int, np.ndarray]] = list()
for i in nb_files:
np_arr.append((int(i.split(".")[0]), pd.read_csv(".." + os.sep + "export" + os.sep + i, delimiter=';').to_numpy()))
averages = mean_mkn(np_arr)
available = rb_available(np_arr)
allocate_lp1 = rb_allocate_distance(np_arr, 150)
allocate_lp2 = rb_allocate_distance(np_arr, 500)
allocate_total = allocate_lp1[:, 1] + allocate_lp2[:, 1]
delays = delay(np_arr)
delays.sort(axis=0)
# Data for plotting
@ -75,4 +96,18 @@ ax[1, 0].plot(delays[:, 0], delays[:, 1], marker="o")
ax[1, 0].set(xlabel='number of users', ylabel='delays(ms)', title='Delay')
ax[1, 0].grid()
available.sort(axis=0)
#ax[1, 1].scatter(allocate_lp1[:, 0], (allocate_lp1[:, 1]/(allocate_lp1[:, 1])+allocate_lp2[:, 1])*100)
ax[1, 1].plot(available[:, 0], (allocate_lp1[:, 1]/(allocate_lp1[:, 1]+allocate_lp2[:, 1])*100))
#ax[1, 1].scatter(allocate_lp2[:, 0], (allocate_lp2[:, 1]/(allocate_lp1[:, 1])+allocate_lp2[:, 1])*100)
ax[1, 1].plot(available[:, 0], (allocate_lp2[:, 1]/(allocate_lp1[:, 1]+allocate_lp2[:, 1])*100))
ax[1, 1].set(xlabel='number of users', ylabel='RB utilisés proche/loin/total', title='RB utilisés distance')
ax[1, 1].grid()
ax[1, 1].set_ylim([0, 100])
plt.show()

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@ -120,7 +120,7 @@ public class Cell {
for(int j = 0; j < frame[i].length; j++) {
ResourceBlock ur = frame[i][j];
if(ur.getUser() != null) {
String data = (tick + ";" + i + ";" + j + ";" + this.users.indexOf(ur.getUser()) + ";" + ur.getBandwidth() + ";" + delayAverage +";" + id + "\n");
String data = (tick + ";" + i + ";" + j + ";" + this.users.indexOf(ur.getUser()) + ";" + ur.getBandwidth() + ";" + delayAverage +";" + ur.getUser().getDistance() + ";" + id + "\n");
try{
outputDataFile.write(data.getBytes());
}catch(IOException e){

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@ -86,7 +86,7 @@ public class Main {
try {
//préparation à exportation des données de chaque cellule
FileOutputStream output = new FileOutputStream("export" + File.separator + (usersCell1.size()) + ".csv", true);
output.write("tick;x;y;user;bandwidth;delay;cell;\n".getBytes());
output.write("tick;x;y;user;bandwidth;delay;distance;cell;\n".getBytes());
//création des cellules
Cell cell1 = new Cell(0, schedulerCell1, frame1, usersCell1, output);