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"""Latex transformer.
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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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from .exporter import Exporter
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from IPython.nbformat.v3.nbbase import NotebookNode
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#-----------------------------------------------------------------------------
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# Functions
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#-----------------------------------------------------------------------------
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def export(nb, config=None, transformers=None, filters=None, exporter_type=Exporter):
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#Check arguments
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if exporter_type is None:
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raise TypeError("Exporter is None")
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elif not issubclass(exporter_type, Exporter):
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raise TypeError("Exporter type does not inherit from Exporter (base)")
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if nb is None:
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raise TypeError("nb is None")
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#Create the exporter
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exporter_instance = exporter_type(preprocessors=transformers, jinja_filters=filters, config=config)
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#Try to convert the notebook using the appropriate conversion function.
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if isinstance(nb, NotebookNode):
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output, resources = exporter_instance.from_notebook_node(nb)
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elif isinstance(nb, basestring):
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output, resources = exporter_instance.from_filename(nb)
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else:
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output, resources = exporter_instance.from_file(nb)
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return output, resources, exporter_instance
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def load_class(template_name):
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class_name = template_name[0].upper() + template_name[1:] + "Exporter"
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module = __import__('nbconvert.api.' + template_name, fromlist=[class_name])
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return getattr(module, class_name)
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def export_by_name(nb, template_name, config=None, transformers=None, filters=None):
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return export(nb, config, transformers, filters, load_class(template_name))
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