upstream/ipython Files · docs/examples/kernel/asyncmultiengine1.py

Adding examples from ipython1-dev to docs/examples/kernel. These ...

Adding examples from ipython1-dev to docs/examples/kernel. These examples show how to use IPython for parallel computing. I need to update the import statements and make sure they work with the merged code. But here they are.

Brian E Granger - - Load All Authors

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      #!/usr/bin/env python

      # encoding: utf-8

      # A super simple example showing how to use all of this in a fully

      # asynchronous manner.  The TaskClient also works in this mode.

      from twisted.internet import reactor, defer

      from ipython1.kernel import asyncclient

      def printer(r):

          print r

          return r

      def submit(client):

          d = client.push(dict(a=5, b='asdf', c=[1,2,3]),targets=0,block=True)

          d.addCallback(lambda _: client.pull(('a','b','c'),targets=0,block=True))

          d.addBoth(printer)

          d.addCallback(lambda _: reactor.stop())

      d = asyncclient.get_multiengine_client()

      d.addCallback(submit)

      reactor.run()

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				#!/usr/bin/env python
				# encoding: utf-8

				# A super simple example showing how to use all of this in a fully
				# asynchronous manner. The TaskClient also works in this mode.

				from twisted.internet import reactor, defer
				from ipython1.kernel import asyncclient

				def printer(r):
				print r
				return r

				def submit(client):
				d = client.push(dict(a=5, b='asdf', c=[1,2,3]),targets=0,block=True)
				d.addCallback(lambda _: client.pull(('a','b','c'),targets=0,block=True))
				d.addBoth(printer)
				d.addCallback(lambda _: reactor.stop())

				d = asyncclient.get_multiengine_client()
				d.addCallback(submit)

				reactor.run()