delete case numpy.__version__ <= '1.6.1'

theano/tensor/elemwise.py

@@ -1419,17 +1419,7 @@ class CAReduce(Op):
                             "self.scalar_op (%s) has no attribute 'identity'"
                             % (variable, dimension, self.scalar_op)))
                 else:
-                    # Numpy 1.6 has a bug where you sometimes have to specify
-                    # "dtype='object'" in reduce for it to work, if the ufunc
-                    # was built with "frompyfunc". We need to find out if we
-                    # are in one of these cases (only "object" is supported in
-                    # the output).
-                    if ((self.ufunc.ntypes == 1) and
-                            (self.ufunc.types[0][-1] == 'O')):
-                        variable = self.ufunc.reduce(variable, dimension,
-                                                     dtype='object')
-                    else:
-                        variable = self.ufunc.reduce(variable, dimension,
+		    variable = self.ufunc.reduce(variable, dimension,
                                                      dtype=acc_dtype)
 
             variable = numpy.asarray(variable)

theano/tensor/subtensor.py

@@ -2295,15 +2295,6 @@ class AdvancedIncSubtensor(Op):
                 'You may need to clear the cache (theano-cache clear) '
                 'afterwards.')
 
-        if (numpy.__version__ <= '1.6.1' and
-                out[0].size != numpy.uint32(out[0].size)):
-            warnings.warn(
-                'Numpy versions 1.6.1 and below have a bug preventing '
-                'advanced indexing from correctly filling arrays that '
-                'are too big (>= 2^32 elements). It is possible that '
-                'out[0] (%s), with shape %s, is not correctly filled.'
-                % (out[0], out[0].shape))
-
     def infer_shape(self, node, ishapes):
         return [ishapes[0]]