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

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Merge pull request from asmeurer/sympyprinting Use LaTeX to display, on output, various built-in types with the SymPy printing extension. SymPy's latex() function supports printing lists, tuples, and dicts using latex notation (it uses bmatrix, pmatrix, and Bmatrix, respectively). This provides a more unified experience with SymPy functions that return these types (such as solve()). Also display ints, longs, and floats using LaTeX, to get a more unified printing experience (so that, e.g., x/x will print the same as just 1). The string form can always be obtained by manually calling the actual print function, or 2d unicode printing using pprint(). SymPy's latex() function doesn't treat set() or frosenset() correctly presently (see http://code.google.com/p/sympy/issues /detail?id=3062), so for the present, we leave those alone.

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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())