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"""Module that allows latex output notebooks to be conditioned before
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they are converted.
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"""
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#-----------------------------------------------------------------------------
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# Copyright (c) 2013, the IPython Development Team.
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#
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# Distributed under the terms of the Modified BSD License.
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#
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# The full license is in the file COPYING.txt, distributed with this software.
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#-----------------------------------------------------------------------------
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#-----------------------------------------------------------------------------
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# Imports
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#-----------------------------------------------------------------------------
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from __future__ import print_function, absolute_import
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# Our own imports
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# Needed to override transformer
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from .activatable import (ActivatableTransformer)
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from IPython.nbconvert import filters
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#-----------------------------------------------------------------------------
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# Classes
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#-----------------------------------------------------------------------------
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class LatexTransformer(ActivatableTransformer):
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"""
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Converter for latex destined documents.
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"""
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def transform_cell(self, cell, resources, index):
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"""
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Apply a transformation on each cell,
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Parameters
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----------
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cell : NotebookNode cell
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Notebook cell being processed
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resources : dictionary
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Additional resources used in the conversion process. Allows
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transformers to pass variables into the Jinja engine.
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index : int
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Modified index of the cell being processed (see base.py)
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"""
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#If the cell is a markdown cell, preprocess the ampersands used to
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#remove the space between them and their contents. Latex will complain
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#if spaces exist between the ampersands and the math content.
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#See filters.latex.rm_math_space for more information.
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if hasattr(cell, "source") and cell.cell_type == "markdown":
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cell.source = filters.rm_math_space(cell.source)
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return cell, resources
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