3360eb6c5f
Former-commit-id:9f19e3f712[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f] Former-commit-id:06a8b51d6d
48 lines
1.6 KiB
Python
Executable file
48 lines
1.6 KiB
Python
Executable file
# Example for distributed computing using a master-slave setup.
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# You need Pyro (pyro.sourceforge.net) to run this example.
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#
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# 1) Type "ns" in a shell window to start the Pyro name server.
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# 2) Type "python master_slave_demo.py" in a second shell
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# window to start the master process.
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# 3) Type "task_manager slave demo" in a third shell
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# window to start one slave process.
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#
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# You can run as many slaves as you want (though for this trivial example,
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# the first slave will do all the work before you have time to start a
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# second one), and you can run them on any machine on the same local
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# network as the one that runs the master process.
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#
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# See the Pyro manual for other setups, e.g. running slaves on remote
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# machines connected to the Internet.
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#
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# Also see master.py and slave.py to see how master and slave process can
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# be defined by separate programs. This is more convenient for multi-module
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# programs.
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#
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from Scientific.DistributedComputing.MasterSlave \
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import MasterProcess, SlaveProcess, runJob, TaskRaisedException
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from Scientific import N
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import sys
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class Master(MasterProcess):
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def run(self):
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for i in range(5):
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# For i==0 this raises an exception
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task_id = self.requestTask("sqrt", float(i-1))
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for i in range(5):
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try:
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task_id, tag, result = self.retrieveResult("sqrt")
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print result
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except TaskRaisedException, e:
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print "Task %s raised %s" % (e.task_id, str(e.exception))
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print e.traceback
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class SquareRoot(SlaveProcess):
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def do_sqrt(self, x):
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return (x, N.sqrt(x))
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runJob("demo", Master, SquareRoot)
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