async-lru | Simple LRU cache for asyncio | Caching library

 by   aio-libs Python Version: 2.0.4 License: MIT

kandi X-RAY | async-lru Summary

kandi X-RAY | async-lru Summary

async-lru is a Python library typically used in Server, Caching applications. async-lru has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install async-lru' or download it from GitHub, PyPI.

Simple LRU cache for asyncio
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            kandi-support Support

              async-lru has a low active ecosystem.
              It has 473 star(s) with 44 fork(s). There are 21 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 33 have been closed. On average issues are closed in 338 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of async-lru is 2.0.4

            kandi-Quality Quality

              async-lru has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              async-lru is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              async-lru releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              async-lru saves you 374 person hours of effort in developing the same functionality from scratch.
              It has 892 lines of code, 91 functions and 15 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed async-lru and discovered the below as its top functions. This is intended to give you an instant insight into async-lru implemented functionality, and help decide if they suit your requirements.
            • Get the version number of async_lru
            • Read a file
            Get all kandi verified functions for this library.

            async-lru Key Features

            No Key Features are available at this moment for async-lru.

            async-lru Examples and Code Snippets

            No Code Snippets are available at this moment for async-lru.

            Community Discussions

            QUESTION

            The container becomes different from the container created with run
            Asked 2021-Oct-06 at 00:20

            When I create a container using docker run I get the expected result - a container with all the packages installed. When I exit the container (without changing anything) and try to enter it again using docker exec, it doesn't have the packages installed. Can Someone explain why this happens?

            ...

            ANSWER

            Answered 2021-Oct-06 at 00:20

            When you docker run the image, you'll note the following output:

            Source https://stackoverflow.com/questions/69458232

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

            Vulnerabilities

            No vulnerabilities reported

            Install async-lru

            You can install using 'pip install async-lru' or download it from GitHub, PyPI.
            You can use async-lru 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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            Install
          • PyPI

            pip install async-lru

          • CLONE
          • HTTPS

            https://github.com/aio-libs/async-lru.git

          • CLI

            gh repo clone aio-libs/async-lru

          • sshUrl

            git@github.com:aio-libs/async-lru.git

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