upstream/ipython Files · examples/parallel/multienginemap.py

flush replies when entering an eventloop...

flush replies when entering an eventloop avoids possible hangs when the GUI eventloop prevents queued replies from being sent

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      from __future__ import print_function

      from IPython.parallel import Client

      rc = Client()

      view = rc[:]

      result = view.map_sync(lambda x: 2*x, range(10))

      print("Simple, default map: ", result)

      ar = view.map_async(lambda x: 2*x, range(10))

      print("Submitted map, got AsyncResult: ", ar)

      result = ar.r

      print("Using map_async: ", result)

      @view.parallel(block=True)

      def f(x): return 2*x

      result = f.map(range(10))

      print("Using a parallel function: ", result)

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				from __future__ import print_function

				from IPython.parallel import Client

				rc = Client()
				view = rc[:]
				result = view.map_sync(lambda x: 2*x, range(10))
				print("Simple, default map: ", result)

				ar = view.map_async(lambda x: 2*x, range(10))
				print("Submitted map, got AsyncResult: ", ar)
				result = ar.r
				print("Using map_async: ", result)

				@view.parallel(block=True)
				def f(x): return 2*x

				result = f.map(range(10))
				print("Using a parallel function: ", result)