diff --git a/build.gradle b/build.gradle
index c64edef..fb0aa8c 100644
--- a/build.gradle
+++ b/build.gradle
@@ -11,7 +11,7 @@ plugins {
 }
 
 run {
-    args = ["1000", "250"]
+    args = ["10000", "50"]
 }
 
 application {
diff --git a/plot/main.py b/plot/main.py
index 2bfb0dc..a63b194 100644
--- a/plot/main.py
+++ b/plot/main.py
@@ -3,15 +3,7 @@ import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
 
-"""
-data = pd.read_csv("data.csv", delimiter=';').to_numpy()
-
-tick = data[:, 0]
-
-rb = data[:, 4]
-
-"""
-nb_files = os.listdir('export/')
+nb_files = os.listdir(".." + os.sep + "export")
 
 size = len(nb_files)
 
@@ -19,7 +11,7 @@ size = len(nb_files)
 averages = np.empty((size, 2))
 nb = 0
 for i in nb_files:
-    data = pd.read_csv("export" + os.sep + i, delimiter=';').to_numpy()
+    data = pd.read_csv(".." + os.sep + "export" + os.sep + i, delimiter=';').to_numpy()
     rb = data[:, 4]
 
     total = 0.0
diff --git a/src/main/java/fr/ntr/scheduler/ProportionalFair.java b/src/main/java/fr/ntr/scheduler/ProportionalFair.java
index 4ef2757..8ed0cb8 100644
--- a/src/main/java/fr/ntr/scheduler/ProportionalFair.java
+++ b/src/main/java/fr/ntr/scheduler/ProportionalFair.java
@@ -28,7 +28,7 @@ public class ProportionalFair extends Scheduler {
 				}
 			}
 			avg = avg / (bandwidthTable.length * bandwidthTable[0].length);
-			averageBandwiths.add(new Double(avg));
+			averageBandwiths.add(avg);
 		}
 		User selectedUser = null;
 		for(int ts = 0; ts < 2; ts++){