upstream/ipython Files · IPython/nbconvert/transformers/latex.py

Use default OS shell to run system commands...

Use default OS shell to run system commands Instead of using os.system which uses /bin/sh, this uses subprocess.call (the replacement of os.system) to run the command using the default shell of the OS. With this, one can use more advanced commands for bash, zsh, ksh, ... I do not have a win32 system to test this modification, so maybe line 2236 can also be changed like 2239.

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             latex.py
        
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      """Module that allows latex output notebooks to be conditioned before

      they are converted.

      """

      #-----------------------------------------------------------------------------

      # 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

      # Our own imports

      # Needed to override transformer

      from .base import (Transformer)

      from IPython.nbconvert import filters

      #-----------------------------------------------------------------------------

      # Classes

      #-----------------------------------------------------------------------------

      class LatexTransformer(Transformer):

          """

          Converter for latex destined documents.

          """

          def transform_cell(self, cell, resources, 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.

              index : int

                  Modified index of the cell being processed (see base.py)

              """

              #If the cell is a markdown cell, preprocess the ampersands used to

              #remove the space between them and their contents.  Latex will complain

              #if spaces exist between the ampersands and the math content.  

              #See filters.latex.rm_math_space for more information.

              if hasattr(cell, "source") and cell.cell_type == "markdown":

                  cell.source = filters.strip_math_space(cell.source)

              return cell, resources

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				"""Module that allows latex output notebooks to be conditioned before
				they are converted.
				"""
				#-----------------------------------------------------------------------------
				# 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

				# Our own imports
				# Needed to override transformer
				from .base import (Transformer)
				from IPython.nbconvert import filters

				#-----------------------------------------------------------------------------
				# Classes
				#-----------------------------------------------------------------------------

				class LatexTransformer(Transformer):
				"""
				Converter for latex destined documents.
				"""

				def transform_cell(self, cell, resources, 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.
				index : int
				Modified index of the cell being processed (see base.py)
				"""

				#If the cell is a markdown cell, preprocess the ampersands used to
				#remove the space between them and their contents. Latex will complain
				#if spaces exist between the ampersands and the math content.
				#See filters.latex.rm_math_space for more information.
				if hasattr(cell, "source") and cell.cell_type == "markdown":
				cell.source = filters.strip_math_space(cell.source)
				return cell, resources