upstream/ipython Files · docs/examples/kernel/multienginemap.py

The ipcluster command is now able to reuse FURL files....

The ipcluster command is now able to reuse FURL files. This is done by passing the -r, --client-port and --engine-port options onto ipcontroller. Docs are also updated to indicated this new feature.

Brian E Granger - - Load All Authors

File last commit:

r1395:1feaf0a3


                r1883:3bdd6d9e

Download file

             multienginemap.py
        
                    17 lines
            
             | 414 B
            
                | text/x-python
            
             |
                PythonLexer
            
             / docs / examples / kernel / multienginemap.py
          
                    History
                
                 |
                  Annotation
                 | Raw
                 |Copy content
                 |Copy permalink

      from IPython.kernel import client

      mec = client.MultiEngineClient()

      result = mec.map(lambda x: 2*x, range(10))

      print "Simple, default map: ", result

      m = mec.mapper(block=False)

      pr = m.map(lambda x: 2*x, range(10))

      print "Submitted map, got PendingResult: ", pr

      result = pr.r

      print "Using a mapper: ", result

      @mec.parallel()

      def f(x): return 2*x

      result = f(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 IPython.kernel import client

				mec = client.MultiEngineClient()

				result = mec.map(lambda x: 2*x, range(10))
				print "Simple, default map: ", result

				m = mec.mapper(block=False)
				pr = m.map(lambda x: 2*x, range(10))
				print "Submitted map, got PendingResult: ", pr
				result = pr.r
				print "Using a mapper: ", result

				@mec.parallel()
				def f(x): return 2*x

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