fix that made a really weird integer-array filtering error go away

theano/compile/debugmode.py

@@ -130,6 +130,12 @@ class BadDestroyMap(DebugModeError):
         print >> sio, "  changed input type:", self.node.inputs[self.idx].type
         print >> sio, "  repr (old val):", repr(self.old_val)
         print >> sio, "  repr (new val):", repr(self.new_val)
+        print >> sio, "  value dtype (new <space> old):", self.new_val.dtype, self.old_val.dtype
+        print >> sio, "  value shape (new <space> old):", self.new_val.shape, self.old_val.shape
+        print >> sio, "  value min (new <space> old):", self.new_val.min(), self.old_val.min()
+        print >> sio, "  value max (new <space> old):", self.new_val.max(), self.old_val.max()
+        print >> sio, "  value min (new-old):", (self.new_val-self.old_val).min()
+        print >> sio, "  value max (new-old):", (self.new_val-self.old_val).max()
         print >> sio, ""
         print >> sio, "  Hint: this can also be caused by a deficient values_eq_approx() or __eq__() implementation that compares node input values"
         return sio.getvalue()

theano/tensor/basic.py

@@ -250,11 +250,16 @@ class TensorType(Type):
         if type(a) is numpy.ndarray and type(b) is numpy.ndarray:
             if a.shape != b.shape:
                 return False
-            if a.shape == ():
-                ones = numpy.ones(2)
-                return numpy.allclose(ones * a, ones*b)
+            if a.dtype != b.dtype:
+                return False
+            if 'int' in str(a.dtype):
+                return numpy.all(a==b)
             else:
-                return numpy.allclose(a,b)
+                if a.shape == (): #for comparing scalars, use broadcasting.
+                    ones = numpy.ones(2)
+                    return numpy.allclose(ones * a, ones*b)
+                else:
+                    return numpy.allclose(a,b)
         return False
 
     def __hash__(self):