diff --git a/Appli-iso3dfd/compute_path.py b/Appli-iso3dfd/compute_path.py
index 4ad791b76ce9e79ab2fde9f70e192ee51dc32de3..d5fbe35046b790d615ad5193d09f648a04ccafdb 100644
--- a/Appli-iso3dfd/compute_path.py
+++ b/Appli-iso3dfd/compute_path.py
@@ -4,23 +4,23 @@ import numpy as np
 #tau : pheromone matrix, size : 1 + n1_size + n2_size + n3_size + n1_max//16 + n2_max x 1 + n1_size + n2_size + n3_size + n1//16 + n2 + n3
 
 def proba(i, alpha, tau, n1_size, n2_size, n3_size, n_cbx, n_cby, n_cbz):
-  """Based on i, deduce which parameter you want to choose from. 
-  Returns possibles choices and associated weights. 
-
-  Args:
-      i (int): Index in matrix
-      alpha (float): Parameter to compute weights
-      tau (np.array): Pheromon matrix
-      n1_size (int): First dimension of the problem
-      n2_size (int): Second dimension of the problem
-      n3_size (int): Third dimension of the problem
-      n_cbx (int): First dimension of the cache
-      n_cby (int): Second dimension of the cache
-      n_cbz (int): Third dimension of the cache
-
-  Returns:
-      (tuple: np.array, np.array): possibles choices (sequence) and their weights (weights)
-  """
+    """Based on i, deduce which parameter you want to choose from. 
+    Returns possibles choices and associated weights. 
+
+    Args:
+        i (int): Index in matrix
+        alpha (float): Parameter to compute weights
+        tau (np.array): Pheromon matrix
+        n1_size (int): First dimension of the problem
+        n2_size (int): Second dimension of the problem
+        n3_size (int): Third dimension of the problem
+        n_cbx (int): First dimension of the cache
+        n_cby (int): Second dimension of the cache
+        n_cbz (int): Third dimension of the cache
+
+    Returns:
+        (tuple: np.array, np.array): possibles choices (sequence) and their weights (weights)
+    """
 
     n1_max = (2**(n1_size-1)) * 16
     n2_max = (2**(n2_size-1)) * 256