upstream/ipython Files · IPython/nbconvert/preprocessors/clearoutput.py

Adds configuration options to use Google Drive content manager...

Adds configuration options to use Google Drive content manager Adds the key contentmanager_js_source to webapp_settings that allows for specifying the content manager JavaScript source file. Also adds a NotebookManager subclass, ClientSideNotebookManager, which does minimal logic. This class is used when the JavaScript content manager doesn't use the Python notebook manager, but rather implements that logic client side, as is the case for the Google Drive based content manager. A sample command line that uses the Google Drive content manager, and the ClientSideNotebookManager, is ipython notebook --NotebookApp.webapp_settings="{'contentmanager_js_source': 'base/js/drive_contentmanager'}" --NotebookApp.notebook_manager_class="IPython.html.services.notebooks.clientsidenbmanager.ClientSideNotebookManager"

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      """Module containing a preprocessor that removes the outputs from code cells"""

      # Copyright (c) IPython Development Team.

      # Distributed under the terms of the Modified BSD License.

      from .base import Preprocessor

      class ClearOutputPreprocessor(Preprocessor):

          """

          Removes the output from all code cells in a notebook.

          """

          def preprocess_cell(self, cell, resources, cell_index):

              """

              Apply a transformation on each cell. See base.py for details.

              """

              if cell.cell_type == 'code':

                  cell.outputs = []

                  cell.execution_count = None

              return cell, resources

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				"""Module containing a preprocessor that removes the outputs from code cells"""

				# Copyright (c) IPython Development Team.
				# Distributed under the terms of the Modified BSD License.

				from .base import Preprocessor

				class ClearOutputPreprocessor(Preprocessor):
				"""
				Removes the output from all code cells in a notebook.
				"""

				def preprocess_cell(self, cell, resources, cell_index):
				"""
				Apply a transformation on each cell. See base.py for details.
				"""
				if cell.cell_type == 'code':
				cell.outputs = []
				cell.execution_count = None
				return cell, resources