For some reason assigning an integer array to np.nan, which should never be...

For some reason assigning an integer array to np.nan, which should never be possible, only fails when it is of size 1. Work around this with a try/except.

pcigale/managers/utils.py

@@ -50,9 +50,14 @@ class SharedArray(object):
         self.raw = RawArray(dtype, size)
         self.size = size
         # By default RawArray initialises all the elements to 0. Setting them to
-        # np.nan is preferanble to in case for a reason some elements are never
-        # assigned a value during a run
+        # np.nan is preferable in case for a reason some elements are never
+        # assigned a value during a run. Note that in case the shared array is
+        # not of a float type and is of size 1 it will fail, se we work around
+        # this with a try.
+        try:
             self.array[:] = np.nan
+        except:
+            pass
 
     def __setitem__(self, idx, data):
         self._raw[idx] = data