DisPy | Distributed Python execution | SOAP library
kandi X-RAY | DisPy Summary
kandi X-RAY | DisPy Summary
XML-RPC already allows for the calling of methods & access to members over HTTP, via XML. DisPy takes this concept a little further, allowing for class definitions to be pushed from client to server(s) at run-time (again, via XML- RPC), instances to be created on the server and for member & method access over the same XML-RPC connection. It is very very very alpha, I only guarantee what’s tested below :).
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Top functions reviewed by kandi - BETA
- Map the methods to the proxy method .
- Initialize cls .
- Initialize the server .
- Assign the members to the class
- Create a new instance of cls .
- Helper to set an attribute .
- Wrapper for _get .
- Call method with given arguments .
- Get the source of a class .
DisPy Key Features
DisPy Examples and Code Snippets
Community Discussions
Trending Discussions on DisPy
QUESTION
The below code I want to use more than one condition but it is not supporting it is taking only one condition only p.score<=35 it is only displaying all records but p.score<=50 this condition applicable record is not dispying how can I resolve this issue.
ANSWER
Answered 2019-Apr-29 at 07:54p.Score<=35 && p.Score <=50
QUESTION
I'm developing a dispy script operating on a large number of objects (duh).
There are multiple operations to be performed for each object -- only one of them must happen first, the rest use the first job's results and can be done in any order.
...ANSWER
Answered 2018-Sep-08 at 02:43Yes, callback can submit new job(s). See, for example, job_scheduler.py, which submits jobs in callback (although cluster_status can also be used for this purpose). From above description, it seems you can use callback instead of cluster_status.
QUESTION
I'm trying to run some Python functions in parallel, which has print commands throughout the function. What I want is to have each subprocess running the same function, to output to the main stdout in a grouped manner. What I mean by that is that I want each subprocess's output to only be printed after it has finished completing its task. If, however, some kind of error occured during this process, I want to still output whatever was done in the subprocess.
A small example:
...ANSWER
Answered 2017-Jun-12 at 01:07As you've noticed, using a lock in this case would kill multiprocessing because you'd essentially have all the processes wait for a mutex release from the process who currently holds the 'rights' to STDOUT. However, running in parallel and printing in sync with your function/subprocess is logically exclusive.
What you can do instead is to have your main process serve as a 'printer' for your subprocesses in such a way that once your subprocess finishes/errors, then and only then it sends back to your main process what to print. You seem to be perfectly content for printing not to be 'real time' (nor it could, anyway, as previously mentioned) so that approach should serve you just right. So:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install DisPy
You can use DisPy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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