Fix jenkins in python 32bit.

theano/tensor/tests/test_basic.py

@@ -1813,7 +1813,7 @@ _good_broadcast_unary_gammaln = dict(
     normal=(rand_ranged(-1 + 1e-2, 10, (2, 3)),),
     empty=(numpy.asarray([], dtype=config.floatX),),
     int=(randint_ranged(1, 10, (2, 3)),),
-    uint8=(randint_ranged(1, 10, (2, 3)).astype('uint8'),),
+    uint8=(randint_ranged(1, 6, (2, 3)).astype('uint8'),),
     uint16=(randint_ranged(1, 10, (2, 3)).astype('uint16'),))
 _grad_broadcast_unary_gammaln = dict(
     # smaller range as our grad method does not estimate it well enough.