When using Parallel Python, is there any way to tell on which machine the job has run?
I have written a simple program using parallel python, and all works well. However, mainly for curiosities sake, I would like to know on which machine each task ran, and how long it took.
Is there any way to programmatically get this information for t开发者_StackOverflow中文版he job that is returned?
A uuid1 could help:
>>> import uuid
>>> uuid.uuid1()
UUID('b46fa8cf-1fc1-11df-b891-001641ec3fab')
>>>
See pydoc uuid and the RFC 4122 for more details, I think the last 48 bits are unique to the host. Not sure you you call/return that in Parallel python though.
In the pp.py
I found:
self.__stats[hostid] = _Statistics(ncpus, rworker)
Can you then use get_stats()
to get at that:
get_stats(self) Returns job execution statistics as a dictionary.
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