Removed next commands in docs

doc/advanced_tutorial/ex1/cop.txt

@@ -158,9 +158,3 @@ version that it produces in the code I gave above.
    div = BinaryDoubleOp(name = 'div',
                         fn = lambda x, y: x / y,
                         ccode = "%(z)s = %(x)s / %(y)s;")
-
-
-
-**Next:** `Views and inplace operations`_
-
-.. _Views and inplace operations: ../inplace.html

doc/advanced_tutorial/ex1/ctype.txt

@@ -440,9 +440,3 @@ Final version
            return ""
    
    double = Double()
-
-
-
-**Next:** `Implementing the arithmetic Ops in C`_
-
-.. _Implementing the arithmetic Ops in C: cop.html

doc/advanced_tutorial/ex1/type.txt

@@ -266,16 +266,3 @@ Final version
 
 We add one utility function, ``__str__``. That way, when we print
 ``double``, it will print out something sensible.
-
-
-
-**Next:** `Making arithmetic Ops on double`_
-
-.. _Making arithmetic Ops on double: op.html
-
-
-
-
-
-
-

doc/basic_tutorial/adding.txt

@@ -150,9 +150,3 @@ with numpy arrays may be found :ref:`here <predefinedtypes>`.
    You, the user---not the system architecture---have to choose whether your
    program will use 32- or 64-bit integers (``i`` prefix vs. the ``l`` prefix)
    and floats (``f`` prefix vs. the ``d`` prefix).
-
-
-**Next:** `More examples`_
-
-
-.. _More examples: examples.html

doc/basic_tutorial/examples.txt

@@ -255,8 +255,5 @@ array(5.9000000000000004)
 array(5.9000000000000004)
 
 
-**Next:** `Using Module`_
-
-.. _Using Module: module.html
 .. _automatic differentiation: http://en.wikipedia.org/wiki/Automatic_differentiation
 

doc/basic_tutorial/tools.txt

@@ -166,14 +166,3 @@ Ops
 
 There are a lot of operations available in the ``theano.tensor`` package.
 See :ref:`oplist`.
-
-
-
-**Next:** `Wrapping up`_
-
-.. _Wrapping up: wrapup.html
-
-
-
-
-