upstream/ipython Files · docs/examples/newparallel/taskmap.py

don't use zmq.select due to bug in pyzmq 2.1.7...

don't use zmq.select due to bug in pyzmq 2.1.7 pyzmq's zmq.select timeout has the wrong units in 2.1.7, resulting in a timeout of 1 waiting for 1000s before raising. Use zmq.Poller instead, which doesn't have this bug.

MinRK - - Load All Authors

File last commit:

r3690:aafdf2be


                r4072:11443881

Download file

             taskmap.py
        
                    17 lines
            
             | 423 B
            
                | text/x-python
            
             |
                PythonLexer
            
             / docs / examples / newparallel / taskmap.py
          
                    History
                
                 |
                  Annotation
                 | Raw
                 |Copy content
                 |Copy permalink

      from IPython.parallel import Client

      rc = Client()

      v = rc.load_balanced_view()

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

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

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

      print "Submitted tasks, got ids: ", ar.msg_ids

      result = ar.get()

      print "Using a mapper: ", result

      @v.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 IPython.parallel import Client

				rc = Client()
				v = rc.load_balanced_view()

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

				ar = v.map_async(lambda x: 2*x, range(10))
				print "Submitted tasks, got ids: ", ar.msg_ids
				result = ar.get()
				print "Using a mapper: ", result

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

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