upstream/ipython Files · IPython/nbconvert/utils/base.py

Shut down kernels in parallel...

Shut down kernels in parallel When stopping the notebook server, it currently sends a shutdown request to each kernel and then waits for the process to finish. This can be slow if you have several kernels running. This makes it issues all the shutdown requests before waiting on the processes, so shutdown happens in parallel. KernelManager (and MultiKernelManager) gain three new public API methods to allow this: * request_shutdown (promoted from a private method) * wait_shutdown (refactored out of shutdown_kernel) * cleanup (refactored out of shutdown_kernel)

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      """Global configuration 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 IPython.config.configurable import LoggingConfigurable

      from IPython.utils.traitlets import Unicode

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

      # Classes and functions

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

      class NbConvertBase(LoggingConfigurable):

          """Global configurable class for shared config

          Useful for display data priority that might be use by many transformers

          """

          display_data_priority = List(['html', 'application/pdf', 'svg', 'latex', 'png', 'jpg', 'jpeg' , 'text'],

                  config=True,

                    help= """

                          An ordered list of preferred output type, the first

                          encountered will usually be used when converting discarding

                          the others.

                          """

                  )

          default_language = Unicode('ipython', config=True, help='default highlight language')

          def __init__(self, **kw):

              super(NbConvertBase, self).__init__(**kw)

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				"""Global configuration 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 IPython.config.configurable import LoggingConfigurable
				from IPython.utils.traitlets import Unicode

				#-----------------------------------------------------------------------------
				# Classes and functions
				#-----------------------------------------------------------------------------

				class NbConvertBase(LoggingConfigurable):
				"""Global configurable class for shared config

				Useful for display data priority that might be use by many transformers
				"""

				display_data_priority = List(['html', 'application/pdf', 'svg', 'latex', 'png', 'jpg', 'jpeg' , 'text'],
				config=True,
				help= """
				An ordered list of preferred output type, the first
				encountered will usually be used when converting discarding
				the others.
				"""
				)

				default_language = Unicode('ipython', config=True, help='default highlight language')

				def __init__(self, **kw):
				super(NbConvertBase, self).__init__(**kw)