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Adding prompt area to non-CodeCells to indent content....
Adding prompt area to non-CodeCells to indent content. This is a reponse to the problem of having really long lines in Markdown cells, which makes the content difficult to read. Users want wide code cells, so we don't want to narrow everything. The solution here is to give a prompt area to the heading/md cells to narrow their content area slightly. The only problem is that this makes it more difficult to distinguish between output and md content that follows that output. The solve this, we are adding a narrow line between output and following md.
Paul Ivanov - - Load All Authors

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base.py
56 lines | 1.7 KiB | text/x-python | PythonLexer
/ IPython / nbconvert / writers / base.py
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"""
Contains writer base class.
"""
#-----------------------------------------------------------------------------
#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 List
from ..utils.base import NbConvertBase
#-----------------------------------------------------------------------------
# Classes
#-----------------------------------------------------------------------------
class WriterBase(NbConvertBase):
"""Consumes output from nbconvert export...() methods and writes to a
useful location. """
files = List([], config=True, help="""
List of the files that the notebook references. Files will be
included with written output.""")
def __init__(self, config=None, **kw):
"""
Constructor
"""
super(WriterBase, self).__init__(config=config, **kw)
def write(self, output, resources, **kw):
"""
Consume and write Jinja output.
Parameters
----------
output : string
Conversion results. This string contains the file contents of the
converted file.
resources : dict
Resources created and filled by the nbconvert conversion process.
Includes output from preprocessors, such as the extract figure
preprocessor.
"""
raise NotImplementedError()