fix documentation generation warning.

doc/extending/fibby.txt

@@ -155,7 +155,7 @@ definitely not make a change that would have an impact on ``__eq__``,
 or ``c_code``.
 
 
-.. _op_contract:
+.. _op_contract_fibby:
 
 Writing an Optimization
 =======================

doc/internal/metadocumentation.txt

@@ -97,7 +97,7 @@ For more details:
 
 
 How documentation is built on deeplearning.net
----------------------------------------
+----------------------------------------------
 
 The server that hosts the theano documentation runs a cron job roughly every
 2 hours that fetches a fresh Theano install (clone, not just pull) and

doc/sandbox/ccodegen.txt

@@ -123,6 +123,7 @@ Example ResultBase
 The following ResultBase represents a double (we only care about the C part).
 
 .. code-block::
+
     class Double(ResultBase):
       <snip>
       def c_declare(self):

doc/sandbox/sandbox.txt

@@ -40,6 +40,7 @@ theano.gof.utils.MethodNotDefined: ('grad', <class 'pylearn.algorithms.sandbox.c
 2) a symbolic variable
 3) None / zero
 4) undefined mathematically
+
 currently, there is no way for a grad() method to distinguish between cases 3
 and 4
 but the distinction is important because graphs with type-3 gradients are ok
@@ -130,6 +131,7 @@ Guillaume can you make sure to hit these points:
     * Convention is that all test files must start with ``test_``, not
     ``_test_``, so rename all that use the old convention?
 
+
 =======================================================
 How to use the PrintOp
 =======================================================

doc/sandbox/sparse.txt

@@ -105,8 +105,8 @@ Speed
 For faster sparse code:
   * Construction: lil_format is fast for many inserts.
   * Operators: "Since conversions to and from the COO format are
-  quite fast, you can use this approach to efficiently implement lots
-  computations on sparse matrices." (Nathan Bell on scipy mailing list)
+    quite fast, you can use this approach to efficiently implement lots
+    computations on sparse matrices." (Nathan Bell on scipy mailing list)
 
 Misc
 ----