diff --git a/3/TP3_voisin.py b/3/TP3_voisin.py
index 7a1f6b7..1c586aa 100755
--- a/3/TP3_voisin.py
+++ b/3/TP3_voisin.py
@@ -137,8 +137,13 @@ def animation_nuage(l_pts, loops=10, time_sleep=2, delta_bruit=3):
 def main(argv):
     parser = argparse.ArgumentParser()
     gps = parser.add_mutually_exclusive_group(required=True)
-    parser.add_argument("-i", "--input",
+    gpi = parser.add_mutually_exclusive_group(required=True)
+    gpi.add_argument("-i", "--input",
                         help="input file for dots - if none, generate dots")
+    gpi.add_argument("-f", "--function",
+                        help="function to use to generate dots, ex -f 3*x+4")
+    parser.add_argument("-N", "--nb-dots", type=int, default=500,
+                        help="number of dots to generate (from 0 to NB_DOTS) from function")
     gps.add_argument("-s", "--show", action="store_true",
                         help="show cloud of dots with u1 and u2")
     gps.add_argument("-l", "--loop", type=int, default=10,
@@ -159,9 +164,9 @@ def main(argv):
             l_pts = acquérir_depuis_fichier(args.input)
     else:
         l_pts = []
-        n = 500 # nombre de points
-        f = lambda x: x/2 + 3 # fonction génératrice de la ditribution
-        delta_bruit = 10 # bruit généré, 0 si on en veut aucun
+        n = args.nb_dots # nombre de points
+        f = lambda x: eval(args.function) # fonction génératrice de la ditribution
+        delta_bruit = 0 # bruit généré, 0 si on en veut aucun
         for i in range(n):
             y = f(i) + choice((-1, 1)) * random() * delta_bruit/2
             l_pts.append([i, y])
diff --git a/3/__pycache__/argparse.cpython-38.pyc b/3/__pycache__/argparse.cpython-38.pyc
deleted file mode 100644
index abb6b40..0000000
Binary files a/3/__pycache__/argparse.cpython-38.pyc and /dev/null differ