Rename ExtractFigureTransformer to ExtractOutputTransformer

IPython/nbconvert/exporters/exporter.py

@@ -1,443 +1,443
 """This module defines Exporter, a highly configurable converter
 that uses Jinja2 to export notebook files into different formats.
 """
 
 #-----------------------------------------------------------------------------
 # 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 __future__ import print_function, absolute_import
 
 # Stdlib imports
 import io
 import os
 import inspect
 import copy
 import collections
 import datetime
 
 # other libs/dependencies
 from jinja2 import Environment, FileSystemLoader, ChoiceLoader
 
 # IPython imports
 from IPython.config.configurable import Configurable
 from IPython.config import Config
 from IPython.nbformat import current as nbformat
 from IPython.utils.traitlets import MetaHasTraits, DottedObjectName, Unicode, List, Dict
 from IPython.utils.importstring import import_item
 from IPython.utils.text import indent
 from IPython.utils import py3compat
 
 from IPython.nbconvert import transformers as nbtransformers
 from IPython.nbconvert import filters
 
 #-----------------------------------------------------------------------------
 # Globals and constants
 #-----------------------------------------------------------------------------
 
 #Jinja2 extensions to load.
 JINJA_EXTENSIONS = ['jinja2.ext.loopcontrols']
 
 default_filters = {
         'indent': indent,
         'markdown': filters.markdown2html,
         'ansi2html': filters.ansi2html,
         'filter_data_type': filters.DataTypeFilter,
         'get_lines': filters.get_lines,
         'highlight': filters.highlight,
         'highlight2html': filters.highlight,
         'highlight2latex': filters.highlight2latex,
         'markdown2latex': filters.markdown2latex,
         'markdown2rst': filters.markdown2rst,
         'pycomment': filters.python_comment,
         'rm_ansi': filters.remove_ansi,
         'rm_dollars': filters.strip_dollars,
         'rm_fake': filters.rm_fake,
         'html_text' : filters.html_text,
         'add_anchor': filters.add_anchor,
         'ansi2latex': filters.ansi2latex,
         'rm_math_space': filters.rm_math_space,
         'wrap': filters.wrap
 }
 
 #-----------------------------------------------------------------------------
 # Class
 #-----------------------------------------------------------------------------
 
 class ResourcesDict(collections.defaultdict):
     def __missing__(self, key):
         return ''
 
 
 class Exporter(Configurable):
     """
     Exports notebooks into other file formats.  Uses Jinja 2 templating engine
     to output new formats.  Inherit from this class if you are creating a new
     template type along with new filters/transformers.  If the filters/
     transformers provided by default suffice, there is no need to inherit from
     this class.  Instead, override the template_file and file_extension
     traits via a config file.
     
     {filters}
     """
     
     # finish the docstring
     __doc__ = __doc__.format(filters = '- '+'\n    - '.join(default_filters.keys()))
 
 
     template_file = Unicode(
             '', config=True,
             help="Name of the template file to use")
 
     file_extension = Unicode(
         'txt', config=True, 
         help="Extension of the file that should be written to disk"
         )
 
     template_path = Unicode(
         os.path.join("..", "templates"), config=True,
         help="Path where the template files are located.")
 
     template_skeleton_path = Unicode(
         os.path.join("..", "templates", "skeleton"), config=True,
         help="Path where the template skeleton files are located.") 
 
     #Jinja block definitions
     jinja_comment_block_start = Unicode("", config=True)
     jinja_comment_block_end = Unicode("", config=True)
     jinja_variable_block_start = Unicode("", config=True)
     jinja_variable_block_end = Unicode("", config=True)
     jinja_logic_block_start = Unicode("", config=True)
     jinja_logic_block_end = Unicode("", config=True)
     
     #Extension that the template files use.    
     template_extension = Unicode(".tpl", config=True)
 
     #Configurability, allows the user to easily add filters and transformers.
     transformers = List(config=True,
         help="""List of transformers, by name or namespace, to enable.""")
 
     filters = Dict(config=True,
         help="""Dictionary of filters, by name and namespace, to add to the Jinja
         environment.""")
 
     default_transformers = List([nbtransformers.coalesce_streams,
                                  nbtransformers.SVG2PDFTransformer,
-                                 nbtransformers.ExtractFigureTransformer,
+                                 nbtransformers.ExtractOutputTransformer,
                                  nbtransformers.CSSHTMLHeaderTransformer,
                                  nbtransformers.RevealHelpTransformer,
                                  nbtransformers.LatexTransformer,
                                  nbtransformers.SphinxTransformer],
         config=True,
         help="""List of transformers available by default, by name, namespace, 
         instance, or type.""")
 
 
     def __init__(self, config=None, extra_loaders=None, **kw):
         """
         Public constructor
     
         Parameters
         ----------
         config : config
             User configuration instance.
         extra_loaders : list[of Jinja Loaders]
             ordered list of Jinja loder to find templates. Will be tried in order
             before the default FileSysteme ones.
         """
         
         #Call the base class constructor
         c = self.default_config
         if config:
             c.merge(config)
 
         super(Exporter, self).__init__(config=c, **kw)
 
         #Init
         self._init_environment(extra_loaders=extra_loaders)
         self._init_transformers()
         self._init_filters()
 
 
     @property
     def default_config(self):
         return Config()
 
     
     def from_notebook_node(self, nb, resources=None, **kw):
         """
         Convert a notebook from a notebook node instance.
     
         Parameters
         ----------
         nb : Notebook node
         resources : dict (**kw) 
             of additional resources that can be accessed read/write by 
             transformers and filters.
         """
         nb_copy = copy.deepcopy(nb)
         resources = self._init_resources(resources)
 
         #Preprocess
         nb_copy, resources = self._transform(nb_copy, resources)
 
         #Convert
         self.template = self.environment.get_template(self.template_file + self.template_extension)
         output = self.template.render(nb=nb_copy, resources=resources)
         return output, resources
 
 
     def from_filename(self, filename, resources=None, **kw):
         """
         Convert a notebook from a notebook file.
     
         Parameters
         ----------
         filename : str
             Full filename of the notebook file to open and convert.
         """
 
         #Pull the metadata from the filesystem.
         if resources is None:
             resources = ResourcesDict()
         if not 'metadata' in resources or resources['metadata'] == '':
             resources['metadata'] = ResourcesDict()
         basename = os.path.basename(filename)
         notebook_name = basename[:basename.rfind('.')]
         resources['metadata']['name'] = notebook_name
 
         modified_date = datetime.datetime.fromtimestamp(os.path.getmtime(filename))
         resources['metadata']['modified_date'] = modified_date.strftime("%B %-d, %Y")
         
         with io.open(filename) as f:
             return self.from_notebook_node(nbformat.read(f, 'json'), resources=resources,**kw)
 
 
     def from_file(self, file_stream, resources=None, **kw):
         """
         Convert a notebook from a notebook file.
     
         Parameters
         ----------
         file_stream : file-like object
             Notebook file-like object to convert.
         """
         return self.from_notebook_node(nbformat.read(file_stream, 'json'), resources=resources, **kw)
 
 
     def register_transformer(self, transformer, enabled=False):
         """
         Register a transformer.
         Transformers are classes that act upon the notebook before it is
         passed into the Jinja templating engine.  Transformers are also
         capable of passing additional information to the Jinja
         templating engine.
     
         Parameters
         ----------
         transformer : transformer
         """
         if transformer is None:
             raise TypeError('transformer')
         isclass = isinstance(transformer, type)
         constructed = not isclass
 
         #Handle transformer's registration based on it's type
         if constructed and isinstance(transformer, py3compat.string_types):
             #Transformer is a string, import the namespace and recursively call
             #this register_transformer method
             transformer_cls = import_item(transformer)
             return self.register_transformer(transformer_cls, enabled)
         
         if constructed and hasattr(transformer, '__call__'):
             #Transformer is a function, no need to construct it.
             #Register and return the transformer.
             if enabled:
                 transformer.enabled = True
             self._transformers.append(transformer)
             return transformer
 
         elif isclass and isinstance(transformer, MetaHasTraits):
             #Transformer is configurable.  Make sure to pass in new default for 
             #the enabled flag if one was specified.
             self.register_transformer(transformer(parent=self), enabled)
 
         elif isclass:
             #Transformer is not configurable, construct it
             self.register_transformer(transformer(), enabled)
 
         else:
             #Transformer is an instance of something without a __call__ 
             #attribute.  
             raise TypeError('transformer')
 
 
     def register_filter(self, name, jinja_filter):
         """
         Register a filter.
         A filter is a function that accepts and acts on one string.  
         The filters are accesible within the Jinja templating engine.
     
         Parameters
         ----------
         name : str
             name to give the filter in the Jinja engine
         filter : filter
         """
         if jinja_filter is None:
             raise TypeError('filter')
         isclass = isinstance(jinja_filter, type)
         constructed = not isclass
 
         #Handle filter's registration based on it's type
         if constructed and isinstance(jinja_filter, py3compat.string_types):
             #filter is a string, import the namespace and recursively call
             #this register_filter method
             filter_cls = import_item(jinja_filter)
             return self.register_filter(name, filter_cls)
         
         if constructed and hasattr(jinja_filter, '__call__'):
             #filter is a function, no need to construct it.
             self.environment.filters[name] = jinja_filter
             return jinja_filter
 
         elif isclass and isinstance(jinja_filter, MetaHasTraits):
             #filter is configurable.  Make sure to pass in new default for 
             #the enabled flag if one was specified.
             filter_instance = jinja_filter(parent=self)
             self.register_filter(name, filter_instance )
 
         elif isclass:
             #filter is not configurable, construct it
             filter_instance = jinja_filter()
             self.register_filter(name, filter_instance)
 
         else:
             #filter is an instance of something without a __call__ 
             #attribute.  
             raise TypeError('filter')
 
         
     def _init_environment(self, extra_loaders=None):
         """
         Create the Jinja templating environment.
         """
         here = os.path.dirname(os.path.realpath(__file__))
         loaders = []
         if extra_loaders:
             loaders.extend(extra_loaders)
 
         loaders.append(FileSystemLoader([
                 os.path.join(here, self.template_path),
                 os.path.join(here, self.template_skeleton_path),
                 ]))
 
         self.environment = Environment(
             loader= ChoiceLoader(loaders),
             extensions=JINJA_EXTENSIONS
             )
         
         #Set special Jinja2 syntax that will not conflict with latex.
         if self.jinja_logic_block_start:
             self.environment.block_start_string = self.jinja_logic_block_start
         if self.jinja_logic_block_end:
             self.environment.block_end_string = self.jinja_logic_block_end
         if self.jinja_variable_block_start:
             self.environment.variable_start_string = self.jinja_variable_block_start
         if self.jinja_variable_block_end:
             self.environment.variable_end_string = self.jinja_variable_block_end
         if self.jinja_comment_block_start:
             self.environment.comment_start_string = self.jinja_comment_block_start
         if self.jinja_comment_block_end:
             self.environment.comment_end_string = self.jinja_comment_block_end
 
     
     def _init_transformers(self):
         """
         Register all of the transformers needed for this exporter, disabled
         unless specified explicitly.
         """
         self._transformers = []
 
         #Load default transformers (not necessarly enabled by default).
         if self.default_transformers:
             for transformer in self.default_transformers:
                 self.register_transformer(transformer)
 
         #Load user transformers.  Enable by default.
         if self.transformers:
             for transformer in self.transformers:
                 self.register_transformer(transformer, enabled=True)
  
 
     def _init_filters(self):
         """
         Register all of the filters required for the exporter.
         """
         
         #Add default filters to the Jinja2 environment
         for key, value in default_filters.items():
             self.register_filter(key, value)
 
         #Load user filters.  Overwrite existing filters if need be.
         if self.filters:
             for key, user_filter in self.filters.items():
                 self.register_filter(key, user_filter)
 
 
     def _init_resources(self, resources):
 
         #Make sure the resources dict is of ResourcesDict type.
         if resources is None:
             resources = ResourcesDict()
         if not isinstance(resources, ResourcesDict):
             new_resources = ResourcesDict()
             new_resources.update(resources)
             resources = new_resources 
 
         #Make sure the metadata extension exists in resources
         if 'metadata' in resources:
             if not isinstance(resources['metadata'], ResourcesDict):
                 resources['metadata'] = ResourcesDict(resources['metadata'])
         else:
             resources['metadata'] = ResourcesDict()
             if not resources['metadata']['name']: 
                 resources['metadata']['name'] = 'Notebook'
 
         #Set the output extension
         resources['output_extension'] = self.file_extension
         return resources
         
 
     def _transform(self, nb, resources):
         """
         Preprocess the notebook before passing it into the Jinja engine.
         To preprocess the notebook is to apply all of the 
     
         Parameters
         ----------
         nb : notebook node
             notebook that is being exported.
         resources : a dict of additional resources that
             can be accessed read/write by transformers
             and filters.
         """
         
         # Do a copy.deepcopy first, 
         # we are never safe enough with what the transformers could do.
         nbc =  copy.deepcopy(nb)
         resc = copy.deepcopy(resources)
 
         #Run each transformer on the notebook.  Carry the output along
         #to each transformer
         for transformer in self._transformers:
             nbc, resc = transformer(nbc, resc)
         return nbc, resc

IPython/nbconvert/exporters/latex.py

@@ -1,102 +1,102
 """
 Exporter that allows Latex Jinja templates to work.  Contains logic to
 appropriately prepare IPYNB files for export to LaTeX.  Including but 
 not limited to escaping LaTeX, fixing math region tags, using special
 tags to circumvent Jinja/Latex syntax conflicts.
 """
 #-----------------------------------------------------------------------------
 # 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
 #-----------------------------------------------------------------------------
 
 # Stdlib imports
 import os
 
 # IPython imports
 from IPython.utils.traitlets import Unicode, List
 from IPython.config import Config
 
 from IPython.nbconvert import filters, transformers
 from .exporter import Exporter
 
 #-----------------------------------------------------------------------------
 # Classes and functions
 #-----------------------------------------------------------------------------
 
 class LatexExporter(Exporter):
     """
     Exports to a Latex template.  Inherit from this class if your template is
     LaTeX based and you need custom tranformers/filters.  Inherit from it if 
     you are writing your own HTML template and need custom tranformers/filters.  
     If you don't need custom tranformers/filters, just change the 
     'template_file' config option.  Place your template in the special "/latex" 
     subfolder of the "../templates" folder.
     """
     
     file_extension = Unicode(
         'tex', config=True, 
         help="Extension of the file that should be written to disk")
 
     template_file = Unicode(
         'base', config=True,
         help="Name of the template file to use")
 
     #Latex constants
     template_path = Unicode(
         os.path.join("..", "templates", "latex"), config=True,
         help="Path where the template files are located.")
 
     template_skeleton_path = Unicode(
         os.path.join("..", "templates", "latex", "skeleton"), config=True,
         help="Path where the template skeleton files are located.") 
 
     #Special Jinja2 syntax that will not conflict when exporting latex.
     jinja_comment_block_start = Unicode("((=", config=True)
     jinja_comment_block_end = Unicode("=))", config=True)
     jinja_variable_block_start = Unicode("(((", config=True)
     jinja_variable_block_end = Unicode(")))", config=True)
     jinja_logic_block_start = Unicode("((*", config=True)
     jinja_logic_block_end = Unicode("*))", config=True)
     
     #Extension that the template files use.    
     template_extension = Unicode(".tplx", config=True)
 
 
     def _init_filters(self):
         """
         Register all of the filters required for the exporter.
         """
         
         #Register the filters of the base class.
         super(LatexExporter, self)._init_filters()
 
         #Add latex filters to the Jinja2 environment
         self.register_filter('escape_tex', filters.escape_latex) 
         self.register_filter('highlight', filters.highlight2latex) 
     
 
     @property
     def default_config(self):
         c = Config({
             'NbConvertBase': {
                 'display_data_priority' : ['latex', 'pdf', 'png', 'jpg', 'svg', 'jpeg', 'text']
                 },
-             'ExtractFigureTransformer': {
+             'ExtractOutputTransformer': {
                     'enabled':True
                  },
              'SVG2PDFTransformer': {
                     'enabled':True
                  },
              'LatexTransformer': {
                     'enabled':True
                  }
          })
         c.merge(super(LatexExporter,self).default_config)
         return c

IPython/nbconvert/exporters/rst.py

@@ -1,42 +1,42
 """
 Exporter for exporting notebooks to restructured text.
 """
 #-----------------------------------------------------------------------------
 # 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 IPython.utils.traitlets import Unicode
 from IPython.config import Config
 
 from .exporter import Exporter
 
 #-----------------------------------------------------------------------------
 # Classes
 #-----------------------------------------------------------------------------
 
 class RSTExporter(Exporter):
     """
     Exports restructured text documents.
     """
     
     file_extension = Unicode(
         'rst', config=True, 
         help="Extension of the file that should be written to disk")
 
     template_file = Unicode(
             'rst', config=True,
             help="Name of the template file to use")
 
     @property
     def default_config(self):
-        c = Config({'ExtractFigureTransformer':{'enabled':True}})
+        c = Config({'ExtractOutputTransformer':{'enabled':True}})
         c.merge(super(RSTExporter,self).default_config)
         return c

IPython/nbconvert/exporters/tests/test_exporter.py

@@ -1,113 +1,113
 """
 Module with tests for exporter.py
 """
 
 #-----------------------------------------------------------------------------
 # 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 IPython.config import Config
 
 from .base import ExportersTestsBase
 from .cheese import CheeseTransformer
 from ..exporter import Exporter
 
 
 #-----------------------------------------------------------------------------
 # Class
 #-----------------------------------------------------------------------------
 
 class TestExporter(ExportersTestsBase):
     """Contains test functions for exporter.py"""
 
 
     def test_constructor(self):
         """
         Can an Exporter be constructed?
         """
         Exporter()
 
 
     def test_export(self):
         """
         Can an Exporter export something?
         """
         exporter = self._make_exporter()
         (output, resources) = exporter.from_filename(self._get_notebook())
         assert len(output) > 0
 
 
     def test_extract_figures(self):
         """
-        If the ExtractFigureTransformer is enabled, are figures extracted?
+        If the ExtractOutputTransformer is enabled, are figures extracted?
         """
-        config = Config({'ExtractFigureTransformer': {'enabled': True}})
+        config = Config({'ExtractOutputTransformer': {'enabled': True}})
         exporter = self._make_exporter(config=config)
         (output, resources) = exporter.from_filename(self._get_notebook())
         assert resources is not None
         assert 'figures' in resources
         assert len(resources['figures']) > 0
 
 
     def test_transformer_class(self):
         """
         Can a transformer be added to the transformers list by class type?
         """
         config = Config({'Exporter': {'transformers': [CheeseTransformer]}})
         exporter = self._make_exporter(config=config)
         (output, resources) = exporter.from_filename(self._get_notebook())
         assert resources is not None
         assert 'cheese' in resources
         assert resources['cheese'] == 'real'
 
 
     def test_transformer_instance(self):
         """
         Can a transformer be added to the transformers list by instance?
         """
         config = Config({'Exporter': {'transformers': [CheeseTransformer()]}})
         exporter = self._make_exporter(config=config)
         (output, resources) = exporter.from_filename(self._get_notebook())
         assert resources is not None
         assert 'cheese' in resources
         assert resources['cheese'] == 'real'
 
 
     def test_transformer_dottedobjectname(self):
         """
         Can a transformer be added to the transformers list by dotted object name?
         """
         config = Config({'Exporter': {'transformers': ['IPython.nbconvert.exporters.tests.cheese.CheeseTransformer']}})
         exporter = self._make_exporter(config=config)
         (output, resources) = exporter.from_filename(self._get_notebook())
         assert resources is not None
         assert 'cheese' in resources
         assert resources['cheese'] == 'real'
 
 
     def test_transformer_via_method(self):
         """
         Can a transformer be added via the Exporter convinience method?
         """
         exporter = self._make_exporter()
         exporter.register_transformer(CheeseTransformer, enabled=True)
         (output, resources) = exporter.from_filename(self._get_notebook())
         assert resources is not None
         assert 'cheese' in resources
         assert resources['cheese'] == 'real'
 
 
     def _make_exporter(self, config=None):
         #Create the exporter instance, make sure to set a template name since
         #the base Exporter doesn't have a template associated with it.
         exporter = Exporter(config=config)
         exporter.template_file = 'python'
         return exporter        
  No newline at end of file

IPython/nbconvert/transformers/__init__.py

@@ -1,12 +1,12
 # Class base Transformers
 from .base import Transformer
 from .convertfigures import ConvertFiguresTransformer
 from .svg2pdf import SVG2PDFTransformer
-from .extractfigure import ExtractFigureTransformer
+from .extractoutput import ExtractOutputTransformer
 from .revealhelp import RevealHelpTransformer
 from .latex import LatexTransformer
 from .sphinx import SphinxTransformer
 from .csshtmlheader import CSSHTMLHeaderTransformer
 
 # decorated function Transformers
 from .coalescestreams import coalesce_streams

IPython/nbconvert/transformers/extractoutput.py

@@ -1,101 +1,101
-"""Module containing a transformer that extracts all of the figures from the
-notebook file.  The extracted figures are returned in the 'resources' dictionary.
+"""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 ExtractFigureTransformer(Transformer):
+class ExtractOutputTransformer(Transformer):
     """
-    Extracts all of the figures from the notebook file.  The extracted 
-    figures are returned in the 'resources' dictionary.
+    Extracts all of the outputs from the notebook file.  The extracted 
+    outputs are returned in the 'resources' dictionary.
     """
 
     figure_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 'figure' as the default.  Also, get files directory if it
         #has been specified
         unique_key = resources.get('unique_key', 'figure')
         output_files_dir = resources.get('output_files_dir', None)
         
-        #Make sure figures key exists
-        if not 'figures' in resources:
-            resources['figures'] = {}
+        #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:
                 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 a figure name
                     filename = self.figure_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['figures']['filename'] = data
-                    resources['figures'][filename] = data
+                    #   resources['outputs']['filename'] = data
+                    resources['outputs'][filename] = data
 
         return cell, resources