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

Summary of changes:...

Summary of changes: 1) IPython/core/compilerop.py: IronPython __future__ flags are non-standard, Solution try/except; comment added 2) IPython/core/completer.py: __main__ was undefined, due to local mistake in creating IronPython scope; removed this tweak 3) IPython/core/prompts.py: os.getuid() is not defined (IronPython bug; see: https://mail.python.org/pipermail/ironpython-users/2014-February/016812.html) 4) IPython/lib/inputhook.py: ctypes SystemError; comment added 5) IPython/utils/process.py and IPython/utils/_process_cli.py: adds a new _process_cli.py which would handle the processes under cli; fixed os.pathsep 6) IPython/utils/io.py: devnull opened in append mode; changed to "w" 7) New issue: IPython/external/decorator/_decorator.py: IronPython doesn't have _getframes, unless FullFrames is set to true; comment added

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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())