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

update API after sagedays29...

update API after sagedays29 tests, docs updated to match * Client no longer has high-level methods (only in Views) * module functions can be pushed * clients can have a connection timeout * dependencies have separate switches for success/failure, not just success_only * add `with view.temp_flags(**flags):` for temporary flags Also updated some docs and examples

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