upstream/ipython Files · IPython/extensions/parallelmagic.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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      # encoding: utf-8

      """

      =============

      parallelmagic

      =============

      Deprecated, parallel magics are no longer an extension.

      """

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

      #  Copyright (C) 2008 The IPython Development Team

      #

      #  Distributed under the terms of the BSD License.  The full license is in

      #  the file COPYING, distributed as part of this software.

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

      from warnings import warn

      def load_ipython_extension(ip):

          warn("Parallel Magics are no longer defined in an extension", DeprecationWarning)

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				# encoding: utf-8
				"""
				=============
				parallelmagic
				=============

				Deprecated, parallel magics are no longer an extension.
				"""

				#-----------------------------------------------------------------------------
				# Copyright (C) 2008 The IPython Development Team
				#
				# Distributed under the terms of the BSD License. The full license is in
				# the file COPYING, distributed as part of this software.
				#-----------------------------------------------------------------------------

				from warnings import warn

				def load_ipython_extension(ip):
				warn("Parallel Magics are no longer defined in an extension", DeprecationWarning)