Function signature updates in the docs.

doc/library/compile/function.txt

@@ -81,7 +81,7 @@ Reference
         Initialize object attributes.
 
 
-.. function:: function(inputs, outputs, mode=None, updates=[], givens=[], accept_inplace=False, name=None)
+.. function:: function(inputs, outputs, mode=None, updates=None, givens=None, accept_inplace=False, name=None)
 
     Return a callable object that will calculate `outputs` from `inputs`.
 

doc/library/tensor/basic.txt

@@ -1160,7 +1160,7 @@ Linear Algebra
 Gradient / Differentiation
 ==========================
 
-.. function:: grad(cost, wrt, g_cost=None, consider_constant=[], warn_type=False)
+.. function:: grad(cost, wrt, g_cost=None, consider_constant=None, warn_type=False)
 
     Return symbolic gradients for one or more variables with respect to some
     cost.