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

Merge pull request from minrk/even-more-ways-to-get-ifaces...

Merge pull request from minrk/even-more-ways-to-get-ifaces Add even more ways to populate localinterfaces use netifaces for faster IPython.utils.localinterfaces when availlable, Parse subprocess output from ifconfig / ip addr / ipconfig. Lower priority than netifaces, but still higher priority than socket.gethostbyname. Fallback to gethostname otherwise. Should be much faster in worst case scenario where machine are badly configurred and can wait up to ~30s to start ipython. Slighly slower in other cases.

Brian Granger - - Load All Authors

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        Thomas Kluyver
    
Update print syntax in parallel examples.

              r6455
            
      from __future__ import print_function

        MinRK
    
updates to docs and examples

              r3670
            
      from IPython.parallel import Client

      rc = Client()

      view = rc[:]

      result = view.map_sync(lambda x: 2*x, range(10))

        Thomas Kluyver
    
Update print syntax in parallel examples.

              r6455
            
      print("Simple, default map: ", result)

        MinRK
    
updates to docs and examples

              r3670
            
      ar = view.map_async(lambda x: 2*x, range(10))

        Thomas Kluyver
    
Update print syntax in parallel examples.

              r6455
            
      print("Submitted map, got AsyncResult: ", ar)

        MinRK
    
updates to docs and examples

              r3670
            
      result = ar.r

        Thomas Kluyver
    
Update print syntax in parallel examples.

              r6455
            
      print("Using map_async: ", result)

        MinRK
    
updates to docs and examples

              r3670
            
      @view.parallel(block=True)

      def f(x): return 2*x

        MinRK
    
update a few parallel examples...

              r4184
            
      result = f.map(range(10))

        Thomas Kluyver
    
Update print syntax in parallel examples.

              r6455
            
      print("Using a parallel function: ", result)

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Thomas Kluyver Update print syntax in parallel examples.	r6455	from __future__ import print_function

MinRK updates to docs and examples	r3670	from IPython.parallel import Client

		rc = Client()
		view = rc[:]
		result = view.map_sync(lambda x: 2*x, range(10))
Thomas Kluyver Update print syntax in parallel examples.	r6455	print("Simple, default map: ", result)
MinRK updates to docs and examples	r3670
		ar = view.map_async(lambda x: 2*x, range(10))
Thomas Kluyver Update print syntax in parallel examples.	r6455	print("Submitted map, got AsyncResult: ", ar)
MinRK updates to docs and examples	r3670	result = ar.r
Thomas Kluyver Update print syntax in parallel examples.	r6455	print("Using map_async: ", result)
MinRK updates to docs and examples	r3670
		@view.parallel(block=True)
		def f(x): return 2*x

MinRK update a few parallel examples...	r4184	result = f.map(range(10))
Thomas Kluyver Update print syntax in parallel examples.	r6455	print("Using a parallel function: ", result)