Removed invalid comment (from previous commit) and added a new line

IPython/nbconvert/transformers/extractoutput.py

@@ -1,106 +1,102 b''
 """Module containing a transformer that extracts all of the outputs from the
 notebook file.  The extracted outputs are returned in the 'resources' dictionary.
 """
 #-----------------------------------------------------------------------------
 # 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
 #-----------------------------------------------------------------------------
 
 import base64
 import sys
 import os
 
 from IPython.utils.traitlets import Unicode
 from .base import Transformer
 from IPython.utils import py3compat
 
 #-----------------------------------------------------------------------------
 # Classes
 #-----------------------------------------------------------------------------
 
 class ExtractOutputTransformer(Transformer):
     """
     Extracts all of the outputs from the notebook file.  The extracted 
     outputs are returned in the 'resources' dictionary.
     """
 
     output_filename_template = Unicode(
         "{unique_key}_{cell_index}_{index}.{extension}", config=True)
 
 
     def transform_cell(self, cell, resources, cell_index):
         """
         Apply a transformation on each cell,
         
         Parameters
         ----------
         cell : NotebookNode cell
             Notebook cell being processed
         resources : dictionary
             Additional resources used in the conversion process.  Allows
             transformers to pass variables into the Jinja engine.
         cell_index : int
             Index of the cell being processed (see base.py)
         """
 
         #Get the unique key from the resource dict if it exists.  If it does not 
         #exist, use 'output' as the default.  Also, get files directory if it
         #has been specified
         unique_key = resources.get('unique_key', 'output')
         output_files_dir = resources.get('output_files_dir', None)
         
         #Make sure outputs key exists
         if not 'outputs' in resources:
             resources['outputs'] = {}
             
         #Loop through all of the outputs in the cell
         for index, out in enumerate(cell.get('outputs', [])):
 
             #Get the output in data formats that the template is interested in.
             for out_type in self.display_data_priority:
-
-                # Only extract the output if it's data exists as an attribute.
-                # This means things like output_type="stream" where the data
-                # is stored in "text" (instead of "stream"), will not be 
-                # extracted (intentional).
                 if out.hasattr(out_type): 
                     data = out[out_type]
 
                     #Binary files are base64-encoded, SVG is already XML
                     if out_type in ('png', 'jpg', 'jpeg', 'pdf'):
+
                         # data is b64-encoded as text (str, unicode)
                         # decodestring only accepts bytes
                         data = py3compat.cast_bytes(data)
                         data = base64.decodestring(data)
                     elif sys.platform == 'win32':
                         data = data.replace('\n', '\r\n').encode("UTF-8")
                     else:
                         data = data.encode("UTF-8")
                     
                     #Build an output name
                     filename = self.output_filename_template.format( 
                                     unique_key=unique_key,
                                     cell_index=cell_index,
                                     index=index,
                                     extension=out_type)
 
                     #On the cell, make the figure available via 
                     #   cell.outputs[i].svg_filename  ... etc (svg in example)
                     # Where
                     #   cell.outputs[i].svg  contains the data
                     if output_files_dir is not None:
                         filename = os.path.join(output_files_dir, filename)
                     out[out_type + '_filename'] = filename
 
                     #In the resources, make the figure available via
                     #   resources['outputs']['filename'] = data
                     resources['outputs'][filename] = data
 
         return cell, resources