upstream/ipython Files · docs/examples/parallel/task1.py

avoid references to fiel out of directory...

avoid references to fiel out of directory request for packaging, it would be nice for example not to reference files outside of exampel directory copy ../../_static/logo.png in logo/logo.png use subfolder for demo purpose of targetting subfolder in demo notebook

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      # <nbformat>2</nbformat>

      # <markdowncell>

      # # Simple task farming example

      # <codecell>

      from __future__ import print_function

      from IPython.parallel import Client

      # <markdowncell>

      # A `Client.load_balanced_view` is used to get the object used for working with load balanced tasks.

      # <codecell>

      rc = Client()

      v = rc.load_balanced_view()

      # <markdowncell>

      # Set the variable `d` on all engines:

      # <codecell>

      rc[:]['d'] = 30

      # <markdowncell>

      # Define a function that will be our task:

      # <codecell>

      def task(a):

          return a, 10*d, a*10*d

      # <markdowncell>

      # Run the task once:

      # <codecell>

      ar = v.apply(task, 5)

      # <markdowncell>

      # Print the results:

      # <codecell>

      print("a, b, c: ", ar.get())

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				# <nbformat>2</nbformat>

				# <markdowncell>

				# # Simple task farming example

				# <codecell>
				from __future__ import print_function

				from IPython.parallel import Client

				# <markdowncell>

				# A `Client.load_balanced_view` is used to get the object used for working with load balanced tasks.

				# <codecell>

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

				# <markdowncell>

				# Set the variable `d` on all engines:

				# <codecell>

				rc[:]['d'] = 30

				# <markdowncell>

				# Define a function that will be our task:

				# <codecell>

				def task(a):
				return a, 10d, a10*d

				# <markdowncell>

				# Run the task once:

				# <codecell>

				ar = v.apply(task, 5)

				# <markdowncell>

				# Print the results:

				# <codecell>

				print("a, b, c: ", ar.get())