fix jpeg/jpg typo in ExtractOutput

IPython/nbconvert/preprocessors/extractoutput.py

@@ -1,112 +1,112 b''
 """Module containing a preprocessor 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 mimetypes import guess_extension
 
 from IPython.utils.traitlets import Unicode, Set
 from .base import Preprocessor
 from IPython.utils import py3compat
 
 #-----------------------------------------------------------------------------
 # Classes
 #-----------------------------------------------------------------------------
 
 class ExtractOutputPreprocessor(Preprocessor):
     """
     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)
 
-    extract_output_types = Set({'png', 'jpg', 'svg', 'application/pdf'}, config=True)
+    extract_output_types = Set({'png', 'jpeg', 'svg', 'application/pdf'}, config=True)
 
     def preprocess_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
             preprocessors 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 isinstance(resources['outputs'], dict):
             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 needs extracted
             for out_type in self.extract_output_types:
                 if out_type in out:
                     data = out[out_type]
 
                     #Binary files are base64-encoded, SVG is already XML
-                    if out_type in {'png', 'jpg', 'application/pdf'}:
+                    if out_type in {'png', 'jpeg', 'application/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
                     # filthy hack while we have some mimetype output, and some not
                     if '/' in out_type:
                         ext = guess_extension(out_type)
                         if ext is None:
                             ext = '.' + out_type.rsplit('/')[-1]
                     else:
                         ext = '.' + out_type
                     
                     filename = self.output_filename_template.format(
                                     unique_key=unique_key,
                                     cell_index=cell_index,
                                     index=index,
                                     extension=ext)
 
                     #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