##// END OF EJS Templates
semantic names for indicator icons...
semantic names for indicator icons For all of the discussion that we had about what kind of icons should and should not be used to indicate what mode the notebook is in, we never went through to make it possible to override it. With this change, it is now possible to override what icons are displayed for Command and Edit Modes. For example, @minrk liked the fighter-jet icon for Command Mode, so he can put this in his custom.css .ipython-command-mode:before { content: "\f0fb"; }

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highlight.py
123 lines | 4.0 KiB | text/x-python | PythonLexer
"""
Module containing filter functions that allow code to be highlighted
from within Jinja templates.
"""
#-----------------------------------------------------------------------------
# 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
#-----------------------------------------------------------------------------
# pygments must not be imported at the module level
# because errors should be raised at runtime if it's actually needed,
# not import time, when it may not be needed.
# Our own imports
from IPython.nbconvert.utils.base import NbConvertBase
#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------
MULTILINE_OUTPUTS = ['text', 'html', 'svg', 'latex', 'javascript', 'json']
#-----------------------------------------------------------------------------
# Utility functions
#-----------------------------------------------------------------------------
__all__ = [
'Highlight2HTML',
'Highlight2Latex'
]
class Highlight2HTML(NbConvertBase):
def __call__(self, source, language=None, metadata=None):
"""
Return a syntax-highlighted version of the input source as html output.
Parameters
----------
source : str
source of the cell to highlight
language : str
language to highlight the syntax of
metadata : NotebookNode cell metadata
metadata of the cell to highlight
"""
from pygments.formatters import HtmlFormatter
if not language:
language=self.default_language
return _pygments_highlight(source if len(source) > 0 else ' ', HtmlFormatter(), language, metadata)
class Highlight2Latex(NbConvertBase):
def __call__(self, source, language=None, metadata=None, strip_verbatim=False):
"""
Return a syntax-highlighted version of the input source as latex output.
Parameters
----------
source : str
source of the cell to highlight
language : str
language to highlight the syntax of
metadata : NotebookNode cell metadata
metadata of the cell to highlight
strip_verbatim : bool
remove the Verbatim environment that pygments provides by default
"""
from pygments.formatters import LatexFormatter
if not language:
language=self.default_language
latex = _pygments_highlight(source, LatexFormatter(), language, metadata)
if strip_verbatim:
latex = latex.replace(r'\begin{Verbatim}[commandchars=\\\{\}]' + '\n', '')
return latex.replace('\n\\end{Verbatim}\n', '')
else:
return latex
def _pygments_highlight(source, output_formatter, language='ipython', metadata=None):
"""
Return a syntax-highlighted version of the input source
Parameters
----------
source : str
source of the cell to highlight
output_formatter : Pygments formatter
language : str
language to highlight the syntax of
metadata : NotebookNode cell metadata
metadata of the cell to highlight
"""
from pygments import highlight
from pygments.lexers import get_lexer_by_name
from IPython.nbconvert.utils.lexers import IPythonLexer
# If the cell uses a magic extension language,
# use the magic language instead.
if language == 'ipython' \
and metadata \
and 'magics_language' in metadata:
language = metadata['magics_language']
if language == 'ipython':
lexer = IPythonLexer()
else:
lexer = get_lexer_by_name(language, stripall=True)
return highlight(source, lexer, output_formatter)