From 2140aa330d21785bf831ae3bba4292818c709fda 2013-07-15 23:15:33
From: Jonathan Frederic <jdfreder@calpoly.edu>
Date: 2013-07-15 23:15:33
Subject: [PATCH] Removed activatable, moved enabled to base

---

diff --git a/IPython/nbconvert/transformers/activatable.py b/IPython/nbconvert/transformers/activatable.py
deleted file mode 100755
index 00fbf8f..0000000
--- a/IPython/nbconvert/transformers/activatable.py
+++ /dev/null
@@ -1,53 +0,0 @@
-"""
-Contains base transformer with an enable/disable flag.
-"""
-#-----------------------------------------------------------------------------
-# Copyright (c) 2013, the IPython Development Team.
-#
-# Distributed under the terms of the Modified BSD License.
-#
-# The full license is in the file COPYING.txt, distributed with this software.
-#-----------------------------------------------------------------------------
-
-#-----------------------------------------------------------------------------
-# Imports
-#-----------------------------------------------------------------------------
-
-from .base import ConfigurableTransformer
-from IPython.utils.traitlets import (Bool)
-
-#-----------------------------------------------------------------------------
-# Classes and Functions
-#-----------------------------------------------------------------------------
-
-class ActivatableTransformer(ConfigurableTransformer):
-    """ConfigurableTransformer that has an enabled flag
-
-    Inherit from this if you just want to have a transformer which is
-    disable by default and can be enabled via the config by
-        'c.YourTransformerName.enabled = True'
-    """
-
-    enabled = Bool(False, config=True)
-
-    def __call__(self, nb, resources):
-        """
-        Transformation to apply on each notebook.
-        
-        You should return modified nb, resources.
-        If you wish to apply your transform on each cell, you might want to 
-        overwrite cell_transform method instead.
-        
-        Parameters
-        ----------
-        nb : NotebookNode
-            Notebook being converted
-        resources : dictionary
-            Additional resources used in the conversion process.  Allows
-            transformers to pass variables into the Jinja engine.
-        """
-        
-        if not self.enabled :
-            return nb, resources
-        else :
-            return super(ActivatableTransformer, self).__call__(nb, resources)