autoflake | Removes unused imports and unused variables | Code Analyzer library

 by   myint Python Version: Current License: MIT

kandi X-RAY | autoflake Summary

kandi X-RAY | autoflake Summary

autoflake is a Python library typically used in Code Quality, Code Analyzer applications. autoflake has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install autoflake' or download it from GitHub, PyPI.

Removes unused imports and unused variables as reported by pyflakes
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            kandi-support Support

              autoflake has a highly active ecosystem.
              It has 389 star(s) with 44 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 23 open issues and 33 have been closed. On average issues are closed in 172 days. There are 10 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of autoflake is current.

            kandi-Quality Quality

              autoflake has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              autoflake 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

              autoflake releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed autoflake and discovered the below as its top functions. This is intended to give you an instant insight into autoflake implemented functionality, and help decide if they suit your requirements.
            • Filter source code .
            • Main entry point for autoflake .
            • Fix the source code .
            • Fix imports .
            • Filter out unused imports .
            • Yield line numbers from source .
            • Filter source code .
            • Generator for duplicate key - value pairs .
            • Filter from import statement .
            • Determine if a dict entry contains key .
            Get all kandi verified functions for this library.

            autoflake Key Features

            No Key Features are available at this moment for autoflake.

            autoflake Examples and Code Snippets

            No Code Snippets are available at this moment for autoflake.

            Community Discussions

            Trending Discussions on autoflake

            QUESTION

            Mark unused imported items in Python
            Asked 2021-Sep-11 at 10:37

            In Python if you need to import a module for its side effects then you can't use something like autoflake to automatically remove unused imports. There's a fairly clean way to work around that that I described here (I didn't come up with it but I don't remember where I saw it):

            ...

            ANSWER

            Answered 2021-Sep-10 at 17:34

            The autoflake tool can ignore certain imports that you are not using directly.

            Append # noqa to the relevant import line. For example:

            Source https://stackoverflow.com/questions/69134284

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

            Vulnerabilities

            No vulnerabilities reported

            Install autoflake

            You can install using 'pip install autoflake' or download it from GitHub, PyPI.
            You can use autoflake 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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            CLONE
          • HTTPS

            https://github.com/myint/autoflake.git

          • CLI

            gh repo clone myint/autoflake

          • sshUrl

            git@github.com:myint/autoflake.git

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