--- a/doc/v2_planning/API_optimization.txt	Fri Sep 17 17:53:35 2010 -0400
+++ b/doc/v2_planning/API_optimization.txt	Fri Sep 17 20:24:30 2010 -0400
@@ -33,6 +33,8 @@
 optimization algorithms should be global functions with a signature like
 'iterative_optimizer'.
 
+.. code-block:: python
+
     def iterative_optimizer(parameters, 
             cost=None,
             gradients=None,
@@ -84,6 +86,8 @@
 scipy's.  Its arguments are numpy arrays, and functions that manipulate numpy
 arrays.
 
+.. code-block:: python
+
     def minimize(x0, f, df, opt_algo, **kwargs):
         """
         Return a point x_new with the same type as x0 that minimizes function `f`
@@ -114,6 +118,8 @@
 control.  Technically minimize() is probably implemented using this
 minimize_iterator interface.
 
+.. code-block:: python
+
     class minimize_iterator(object):
         """
         Attributes