distributed-computing | distributed_computing include mapreduce kvstore etc | Architecture library
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kandi X-RAY | distributed-computing Summary
distributed_computing include mapreduce kvstore etc.
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QUESTION
I am new to python/coding and I'm seeking some basic help to pull some elements from what I think is a dictionary. So I am executing the below.
...ANSWER
Answered 2021-Apr-07 at 16:35The response basically looks like a list of dicts. So to extract names (or other keys) you can just do a list comprehension:
[d['name'] for d in data_quote]
QUESTION
I have problem with sending dynamically allocated sub-matrix to workers. I can't understand how I can correctly do that (and what I should send).
Here is sending part:
...ANSWER
Answered 2021-Mar-18 at 08:15QUESTION
So I am trying to share access to a custom class object over a network by having a host machine serve it, and multiple clients connect to and update it. It seems that the standard multiprocessing library has managers and proxies for just this usage case.
I believe from reading the multiprocessing docs (and other posts here) that on the host side I need a custom manager derived from the multiprocessing BaseManager class then register my custom class with a custom proxy derived from the multiprocessing BaseProxy class. I believe on the client side I need to connect to the manager and interact with my custom class using a proxy.
The issue I am having is that attributes that change on the host version of my custom class cannot be seen on the clients and vice versa. It seems I have done something wrong with the implementation or misunderstood the docs/source. Can someone help provide a working example and explain the solution?
Here is my minimal example.
Run manager in one terminal with:
...ANSWER
Answered 2021-Jan-02 at 23:04The client has a different instance of a shared Foo. You can pass that instance to other processes and see that it is working correctly. Below I've passed it to two other processes: one prints current value and changes it, the other waits a moment, then prints the value updated by the first worker:
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