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

Merge branch 'glut-rebased' of git://github.com/fperez/ipython into glut...

Merge branch 'glut-rebased' of git://github.com/fperez/ipython into glut * 'glut-rebased' of git://github.com/fperez/ipython: Added the command line option Fix code in disable_glut which was not tested and quite buggy Tried to fix the CTRL-C problem (https://github.com/ipython/ipython/pull/742) and take other comments/typos into account Replaced deprecated raise call Fixed typos in comments Canceled window reshape to 1x1 since the idea is now for the user to use this window as the main one because of weird seg-faults problem after user creates its own window (any subsequent gl error would lead to a segfault, even a simple one line requiring a non existent function Event loop integration example Added code for the GLUT interactive session

Brian E. Granger - - Load All Authors

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      # <nbformat>2</nbformat>

      # <markdowncell>

      # # Load balanced map and parallel function decorator

      # <codecell>

      from IPython.parallel import Client

      # <codecell>

      rc = Client()

      v = rc.load_balanced_view()

      # <codecell>

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

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

      # <codecell>

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

      print "Submitted tasks, got ids: ", ar.msg_ids

      result = ar.get()

      print "Using a mapper: ", result

      # <codecell>

      @v.parallel(block=True)

      def f(x): return 2*x

      result = f.map(range(10))

      print "Using a parallel function: ", result

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				# <nbformat>2</nbformat>

				# <markdowncell>

				# # Load balanced map and parallel function decorator

				# <codecell>

				from IPython.parallel import Client

				# <codecell>

				rc = Client()
				v = rc.load_balanced_view()

				# <codecell>

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

				# <codecell>

				ar = v.map_async(lambda x: 2*x, range(10))
				print "Submitted tasks, got ids: ", ar.msg_ids
				result = ar.get()
				print "Using a mapper: ", result

				# <codecell>

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

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