Thread-Queue | The 'Thread-Queue ' module for Perl

by Dual-Life Perl Version: 3.13 License: No License

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kandi X-RAY | Thread-Queue Summary

Thread-Queue is a Perl library. Thread-Queue has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The 'Thread-Queue' module for Perl.

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Quality

Security

License

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Support

Thread-Queue has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

Thread-Queue has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Thread-Queue is 3.13

Quality

Thread-Queue has 0 bugs and 0 code smells.

Security

Thread-Queue has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Thread-Queue code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Thread-Queue does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Thread-Queue releases are available to install and integrate.

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Thread-Queue Key Features

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Thread-Queue Examples and Code Snippets

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Community Discussions

Trending Discussions on Thread-Queue

Max Workers in `multiprocessing` vs `concurrent.futures`

QUESTION

Max Workers in `multiprocessing` vs `concurrent.futures`

Asked 2021-Apr-24 at 18:52

In Python 3.8, concurrent.futures.ProcessPoolExecutor has been updated to limit the max number of workers (processes) able to be used on Windows to 61. For the reasons why, see this and this, but to my understanding:

On Windows, multiprocessing calls the Windows API function WaitForMultipleObjects, which is used to wait for processes to finish. It can wait on, at most, 63 objects, less the result queue reader and thread wakeup reader, hence the 61 limit. (i.e. Windows uses a thread per process to track processes).

(see also this SO issue)

multiprocessing, however, still uses os.cpu_count(). It throws a Value Error at first, but then continues on and uses 100% of my CPU cores. For example,

...

ANSWER

Answered 2021-Apr-24 at 18:52

Yours is an excellent question. Looking at the code it would appear that this would be an unrecoverable error. But it seems to me incomprehensible that there would be code in the ThreadPoolExecutor to limit the pool size to 61 under Windows and not enforce that for the the multiprocessing.Pool class. Anyway, it should be easy enough to check with the following program. If it does not print Done! and hangs, I would say there is definitely a problem and you should explicitly limit the pool size if you are using multiprocessing.Pool:

Source https://stackoverflow.com/questions/67204297

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Thread-Queue

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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