def test1(self):
from swamp.partitioner import PlainPartitioner
import cPickle as pickle
cmds = pickle.load(open('last.pypickle'))
#b = Bipartitioner(cmds)
b = PlainPartitioner(cmds)
print b.result()
def dispatchAll(self, cmdList, hook=lambda f:None):
self.resultEvent.clear()
self.gradHook = hook
self.targetCount += len(cmdList)
# Break things into clusters:
p = PlainPartitioner(cmdList)
self.clusters = p.result()
# Then put ready clusters in queues for each executor.
self.rootClusters = iter(self.clusters[0])
self.polledExecutor = itertools.cycle(self.executors)
self._dispatchRoots()
# remaining scheduling and dispatching will run as
# asynchronously-initiated callbacks.
# caller expects us to block until finish, so let's block.
self.resultEvent.wait()
return