asyncpool | Asyncio coroutine worker pool | Reactive Programming library

 by   CaliDog Python Version: Current License: No License

kandi X-RAY | asyncpool Summary

kandi X-RAY | asyncpool Summary

asyncpool is a Python library typically used in Programming Style, Reactive Programming applications. asyncpool has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Asyncio coroutine worker pool. No more juggling bounded semaphores and annoying timeouts, and allows you to run through millions of pieces of data efficiently. Adapted from the awesome worker pool found at
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              asyncpool has a low active ecosystem.
              It has 63 star(s) with 8 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 433 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of asyncpool is current.

            kandi-Quality Quality

              asyncpool has 0 bugs and 0 code smells.

            kandi-Security Security

              asyncpool has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              asyncpool code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              asyncpool does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              asyncpool releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              asyncpool saves you 60 person hours of effort in developing the same functionality from scratch.
              It has 156 lines of code, 13 functions and 3 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed asyncpool and discovered the below as its top functions. This is intended to give you an instant insight into asyncpool implemented functionality, and help decide if they suit your requirements.
            • Start a worker thread
            • Push an item to the pool
            • Read the result from the queue
            • Returns a naive datetime object
            Get all kandi verified functions for this library.

            asyncpool Key Features

            No Key Features are available at this moment for asyncpool.

            asyncpool Examples and Code Snippets

            No Code Snippets are available at this moment for asyncpool.

            Community Discussions

            QUESTION

            Is the writer's reason correct for using thenCompose and not thenComposeAsync
            Asked 2020-Nov-17 at 22:32

            This question is different from this one Difference between Java8 thenCompose and thenComposeAsync because I want to know what is the writer's reason for using thenCompose and not thenComposeAsync.

            I was reading Modern Java in action and I came across this part of code on page 405:

            ...

            ANSWER

            Answered 2020-Aug-04 at 13:31

            TL;DR It is correct to use thenCompose instead of thenComposeAsync here, but not for the cited reasons. Generally, the code example should not be used as a template for your own code.

            This chapter is a recurring topic on Stackoverflow for reasons we can best describe as “insufficient quality”, to stay polite.

            In general, a method without the Async suffix in its name executes its task in the same threads the previous task, …

            There is no such guaranty about the executing thread in the specification. The documentation says:

            • Actions supplied for dependent completions of non-async methods may be performed by the thread that completes the current CompletableFuture, or by any other caller of a completion method.

            So there’s also the possibility that the task is performed “by any other caller of a completion method”. An intuitive example is

            Source https://stackoverflow.com/questions/63217097

            QUESTION

            Python - Cancel task in asyncio?
            Asked 2020-Sep-06 at 11:29

            I have written code for async pool below. in __aexit__ i'm cancelling the _worker tasks after the tasks get finished. But when i run the code, the worker tasks are not getting cancelled and the code is running forever. This what the task looks like: wait_for=>. The asyncio.wait_for is getting cancelled but not the worker tasks.

            ...

            ANSWER

            Answered 2020-Aug-26 at 02:44

            When you have an asyncio task created and then cancelled, you still have the task alive that need to be "reclaimed". So you want to await worker for it. However, once you await such a cancelled task, as it will never give you back the expected return value, the asyncio.CancelledError will be raised and you need to catch it somewhere.

            Because of this behavior, I don't think you should gather them but to await for each of the cancelled tasks, as they are supposed to return right away:

            Source https://stackoverflow.com/questions/63575632

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

            Vulnerabilities

            No vulnerabilities reported

            Install asyncpool

            You can download it from GitHub.
            You can use asyncpool 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.

            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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