upstream/ipython Files · docs/examples/newparallel/demo/map.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

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      from IPython.parallel import *

      client = Client()

      view = client.load_balanced_view()

      @view.remote(block=True)

      def square(a):

          """return square of a number"""

          return a*a

      squares = map(square, range(42))

      # but that blocked between each result; not exactly useful

      square.block = False

      arlist = map(square, range(42))

      # submitted very fast

      # wait for the results:

      squares2 = [ r.get() for r in arlist ]

      # now the more convenient @parallel decorator, which has a map method:

      view2 = client[:]

      @view2.parallel(block=False)

      def psquare(a):

          """return square of a number"""

          return a*a

      # this chunks the data into n-negines jobs, not 42 jobs:

      ar = psquare.map(range(42))

      # wait for the results to be done:

      squares3 = ar.get()

      print squares == squares2, squares3==squares

      # True

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				from IPython.parallel import *

				client = Client()
				view = client.load_balanced_view()

				@view.remote(block=True)
				def square(a):
				"""return square of a number"""
				return a*a

				squares = map(square, range(42))

				# but that blocked between each result; not exactly useful

				square.block = False

				arlist = map(square, range(42))
				# submitted very fast

				# wait for the results:
				squares2 = [ r.get() for r in arlist ]

				# now the more convenient @parallel decorator, which has a map method:
				view2 = client[:]
				@view2.parallel(block=False)
				def psquare(a):
				"""return square of a number"""
				return a*a

				# this chunks the data into n-negines jobs, not 42 jobs:
				ar = psquare.map(range(42))

				# wait for the results to be done:
				squares3 = ar.get()
				print squares == squares2, squares3==squares
				# True