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

receive tasks, even when no engines are registered...

receive tasks, even when no engines are registered Previously, tasks submitted when no engines were registered were left in the upstream ZMQ queue. This prevented the tasks being entered into the Hub's database.

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      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 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