upstream/ipython Files · examples/Parallel/Examples/multienginemap.py

Moving files to top level.

Brian E. Granger - - Load All Authors

File last commit:

r16110:13eabb4f


                r16112:43623688

Download file

             multienginemap.py
        
                    19 lines
            
             | 454 B
            
                | text/x-python
            
             |
                PythonLexer
            
             / examples / Parallel / Examples / multienginemap.py
          
                    History
                
                 |
                  Annotation
                 | Raw
                 |Copy content
                 |Copy permalink

      from __future__ import print_function

      from IPython.parallel import Client

      rc = Client()

      view = rc[:]

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

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

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

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

      result = ar.r

      print("Using map_async: ", result)

      @view.parallel(block=True)

      def f(x): return 2*x

      result = f.map(range(10))

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

	Site-wide shortcuts
/	Use quick search box
g h	Goto home page
g g	Goto my private gists page
g G	Goto my public gists page
g 0-9	Goto bookmarked items from 0-9
n r	New repository page
n g	New gist page

	Repositories
g s	Goto summary page
g c	Goto changelog page
g f	Goto files page
g F	Goto files page with file search activated
g p	Goto pull requests page
g o	Goto repository settings
g O	Goto repository access permissions settings
t s	Toggle sidebar on some pages

				from __future__ import print_function

				from IPython.parallel import Client

				rc = Client()
				view = rc[:]
				result = view.map_sync(lambda x: 2*x, range(10))
				print("Simple, default map: ", result)

				ar = view.map_async(lambda x: 2*x, range(10))
				print("Submitted map, got AsyncResult: ", ar)
				result = ar.r
				print("Using map_async: ", result)

				@view.parallel(block=True)
				def f(x): return 2*x

				result = f.map(range(10))
				print("Using a parallel function: ", result)