Small reformulation.

theano/tensor/opt.py

@@ -292,11 +292,12 @@ def local_0_dot_x(node):
         elif x.ndim == 1 and y.ndim == 1:
             return [constant_zero]
         else:
-            _logger.warning(("OPTIMIZATION WARNING: "
-                             "Optimization theano/opt.py:local_0_dot_x "
-                             "Found that it could apply bug was not implemented"
-                             "for this input to dot:\n"
-                             "(%s,%s)") % (x.type, y.type))
+            _logger.warning("Optimization Warning: "
+                            "Optimization theano/opt.py:local_0_dot_x "
+                            "Found that it could apply, but was not implemented "
+                            "for dot product with these input types:\n"
+                            "(%s, %s)",
+                            x.type, y.type)