# Example for distributed computing using a master-slave setup. # You need Pyro (pyro.sourceforge.net) to run this example. # # 1) Type "ns" in a shell window to start the Pyro name server. # 2) Type "python master_slave_demo.py" in a second shell # window to start the master process. # 3) Type "task_manager slave demo" in a third shell # window to start one slave process. # # You can run as many slaves as you want (though for this trivial example, # the first slave will do all the work before you have time to start a # second one), and you can run them on any machine on the same local # network as the one that runs the master process. # # See the Pyro manual for other setups, e.g. running slaves on remote # machines connected to the Internet. # # Also see master.py and slave.py to see how master and slave process can # be defined by separate programs. This is more convenient for multi-module # programs. # from Scientific.DistributedComputing.MasterSlave \ import MasterProcess, SlaveProcess, runJob, TaskRaisedException from Scientific import N import sys class Master(MasterProcess): def run(self): for i in range(5): # For i==0 this raises an exception task_id = self.requestTask("sqrt", float(i-1)) for i in range(5): try: task_id, tag, result = self.retrieveResult("sqrt") print result except TaskRaisedException, e: print "Task %s raised %s" % (e.task_id, str(e.exception)) print e.traceback class SquareRoot(SlaveProcess): def do_sqrt(self, x): return (x, N.sqrt(x)) runJob("demo", Master, SquareRoot)