fix doc generation error.

doc/install.txt

@@ -258,7 +258,7 @@ but note that you must first register to it, by going to `theano-users`_).
 
 
 Windows V1(bigger install, but simpler instruction + try instruction for gpu)
-----------------------------------------------
+-----------------------------------------------------------------------------
 
 - If you don't have Python yet, I would recommend the Python(x,y)
   distribution. It is only one installation and contains the most
@@ -278,10 +278,14 @@ Windows V1(bigger install, but simpler instruction + try instruction for gpu)
   In the USERPROFILE directory 
   you should create a configuration file .theanorc with the following
   two lines:
-    [blas]
-    ldflags =
+    .. code-block:: bash
+
+      [blas]
+      ldflags =
+
   (Create a text file in Windows Explorer and rename it from the DOS
   box: "ren xyz.txt .theanorc".)
+
   Space or non ascii caracter are not always supported. If that is your case,
   Set the environment variable 'THEANO_FLAGS' to the value 'blas.ldflags='
 
@@ -313,14 +317,16 @@ Windows V1(bigger install, but simpler instruction + try instruction for gpu)
 
   e) Modify the .theanorc file: ldflags = -lgoto2
      This setting can also be changed in Python for testing purposes:
-       theano.config.blas.ldflags = ...
+     theano.config.blas.ldflags = ...
 
 - (Optional). To test the BLAS performance, you can run the script check_blas.py.
   For comparison I also downloaded and compiled the unoptimized standard
   BLAS. The results were the following (Intel Core2 Duo 1.86 GHz):
+
          Standard BLAS: 166 sec (unoptimized, 1 thread)
          NumPy: 48 sec (1 thread)
          Goto2: 16 sec (2 threads)
+
   Conclusions:
   a) The unoptimized standard BLAS is very slow. Don't use it.
   b) The Windows binaries of NumPy were compiled with ATLAS and are surprisingly fast.
@@ -348,7 +354,7 @@ Windows V1(bigger install, but simpler instruction + try instruction for gpu)
   Then run the theano cuda test file. In Windows command line (cmd.exe), run the program nosetests inside the theano repository. nosetests is installed by pythonxy.
 
 Windows V2(smaller install, but longer instruction)
-----------------------------------------------
+---------------------------------------------------
 
 Running Theano under Windows is currently achieved by using the `MinGW
 <http://www.mingw.org>`__ port of the GCC compiler.