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

Merging -r 1177 from lp:ipython with fixes and resolutions....

Merging -r 1177 from lp:ipython with fixes and resolutions. The main conflicts I had to fix were in ultratb. I have removed the ultraTB.py in IPython/kernel/core. Now IPython/core/ultratb.py is being used everywhere. Also I have protected the calls to ipapi.get to see if None is returned. This happens when trial IPython.kernel is run.

Brian E Granger - - Load All Authors

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      from IPython.kernel import client

      tc = client.TaskClient()

      result = tc.map(lambda x: 2*x, range(10))

      print "Simple, default map: ", result

      m = tc.mapper(block=False, clear_after=True, clear_before=True)

      tids = m.map(lambda x: 2*x, range(10))

      print "Submitted tasks, got ids: ", tids

      tc.barrier(tids)

      result = [tc.get_task_result(tid) for tid in tids]

      print "Using a mapper: ", result

      @tc.parallel()

      def f(x): return 2*x

      result = f(range(10))

      print "Using a parallel function: ", result

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				from IPython.kernel import client

				tc = client.TaskClient()

				result = tc.map(lambda x: 2*x, range(10))
				print "Simple, default map: ", result

				m = tc.mapper(block=False, clear_after=True, clear_before=True)
				tids = m.map(lambda x: 2*x, range(10))
				print "Submitted tasks, got ids: ", tids
				tc.barrier(tids)
				result = [tc.get_task_result(tid) for tid in tids]
				print "Using a mapper: ", result

				@tc.parallel()
				def f(x): return 2*x

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