From 49ef7edd2611628b630d47aea1c941e60539d46f Mon Sep 17 00:00:00 2001
From: Emmanuel Viennet <emmanuel.viennet@gmail.com>
Date: Fri, 11 Feb 2022 10:30:24 +0100
Subject: [PATCH] Robustifie calculs stats sur types exotiques / 9.1.51

---
 app/comp/aux_stats.py | 19 +++++++++++--------
 sco_version.py        |  2 +-
 2 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/app/comp/aux_stats.py b/app/comp/aux_stats.py
index 3337c2b814..91b1f8995a 100644
--- a/app/comp/aux_stats.py
+++ b/app/comp/aux_stats.py
@@ -20,15 +20,18 @@ class StatsMoyenne:
         """Calcul les statistiques.
         Les valeurs NAN ou non numériques sont toujours enlevées.
         Si vals is None, renvoie des zéros (utilisé pour UE bonus)
-        """
-        if vals is None or len(vals) == 0:
+        """sco_ver
+        try:
+            if vals is None or len(vals) == 0 or np.isnan(vals).all():
+                self.moy = self.min = self.max = self.size = self.nb_vals = 0
+            else:
+                self.moy = np.nanmean(vals)
+                self.min = np.nanmin(vals)
+                self.max = np.nanmax(vals)
+                self.size = len(vals)
+                self.nb_vals = self.size - np.count_nonzero(np.isnan(vals))
+        except TypeError:  # que des NaN dans un array d'objets, ou ce genre de choses exotiques...
             self.moy = self.min = self.max = self.size = self.nb_vals = 0
-        else:
-            self.moy = np.nanmean(vals)
-            self.min = np.nanmin(vals)
-            self.max = np.nanmax(vals)
-            self.size = len(vals)
-            self.nb_vals = self.size - np.count_nonzero(np.isnan(vals))
 
     def to_dict(self):
         "Tous les attributs dans un dict"
diff --git a/sco_version.py b/sco_version.py
index bda50cef4e..3f97897e71 100644
--- a/sco_version.py
+++ b/sco_version.py
@@ -1,7 +1,7 @@
 # -*- mode: python -*-
 # -*- coding: utf-8 -*-
 
-SCOVERSION = "9.1.50"
+SCOVERSION = "9.1.51"
 
 SCONAME = "ScoDoc"