docs/examples/parallel/taskmap.py

# <nbformat>2</nbformat>

# <markdowncell>

# # Load balanced map and parallel function decorator

# <codecell>
from __future__ import print_function

from IPython.parallel import Client

# <codecell>

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

# <codecell>

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

# <codecell>

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)

# <codecell>

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

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