pep8-naming | Naming Convention checker for Python | Code Analyzer library

 by   PyCQA Python Version: 0.14.1 License: Non-SPDX

kandi X-RAY | pep8-naming Summary

kandi X-RAY | pep8-naming Summary

pep8-naming is a Python library typically used in Code Quality, Code Analyzer applications. pep8-naming has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pep8-naming has a Non-SPDX License. You can install using 'pip install pep8-naming' or download it from GitHub, GitLab, PyPI.

Naming Convention checker for Python
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            kandi-support Support

              pep8-naming has a low active ecosystem.
              It has 452 star(s) with 132 fork(s). There are 15 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 16 open issues and 78 have been closed. On average issues are closed in 120 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pep8-naming is 0.14.1

            kandi-Quality Quality

              pep8-naming has 0 bugs and 0 code smells.

            kandi-Security Security

              pep8-naming has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pep8-naming code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pep8-naming has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              pep8-naming releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              pep8-naming saves you 563 person hours of effort in developing the same functionality from scratch.
              It has 1376 lines of code, 271 functions and 35 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pep8-naming and discovered the below as its top functions. This is intended to give you an instant insight into pep8-naming implemented functionality, and help decide if they suit your requirements.
            • Check for assignments
            • Extracts names from an assignment target
            • Find errors for assignment
            • Check if the given node value is a namedtuple
            • Run tests
            • Finds all global definitions in func_def_node
            • Visit the given node
            • Visit a node
            • Visit class definition
            • Return the first class definition with the given name
            • Get the names of the superclass names
            • Get the python version number
            • Check for errors
            • Visitor for FunctionDef node
            • Return README rst file
            • Iterate over the children of a with node
            Get all kandi verified functions for this library.

            pep8-naming Key Features

            No Key Features are available at this moment for pep8-naming.

            pep8-naming Examples and Code Snippets

            No Code Snippets are available at this moment for pep8-naming.

            Community Discussions

            QUESTION

            Flake8 with pep8-naming complains about camelCase imports
            Asked 2021-Apr-22 at 12:47

            I tried using the following:

            ...

            ANSWER

            Answered 2021-Apr-22 at 12:47

            Flake8 is ok with the following acronyms:

            Source https://stackoverflow.com/questions/67213593

            QUESTION

            RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. GPU not detected by pytorch
            Asked 2021-Mar-21 at 16:24

            Having trouble with CUDA + Pytorch this is the error. I reinstalled CUDA and cudnn multiple times.

            Conda env is detecting GPU but its giving errors with pytorch and certain cuda libraries. I tried with Cuda 10.1 and 10.0, and cudnn version 8 and 7.6.5, Added cuda to path and everything.

            However anaconda is showing cuda tool kit 9.0 is installed, whilst I clearly installed 10.0, so I am not entirely sure what's the deal with that.

            ...

            ANSWER

            Answered 2021-Mar-20 at 10:44

            From the list of libraries, it looks like you've installed CPU only version of the Pytorch.

            Source https://stackoverflow.com/questions/66711799

            QUESTION

            Flakehell with .toml configuration and pre-commit hook
            Asked 2021-Jan-11 at 20:19

            I'm trying to run flakehell as pre-commit hook.

            my .pre-commit-config.yaml:

            ...

            ANSWER

            Answered 2021-Jan-11 at 20:19

            your configuration is incorrect, you haven't limited the files that are passed to your hook with either files or types so it is defaulting to all files in your repository. presumably you have some binary file which is being passed to flakehell

            I also notice that your configuration passes both a path and has pass_filenames: true (pass_filenames: true is the default so you shouldn't use that)

            you either want to list paths in args (not recommended since you always lint more than what you're changing) or you want to filter the filenames properly

            additionally, verbose: true is not intended for use outside of debugging as it adds warning noise to the output

            additionally, you're not managing the installation of flakehell through pre-commit which will add additional burden to your contributors to try and set up whatever development environment locally, most of the point of pre-commit is that it manages installing your tools so your contributors don't have to jump through hoops to have the correct formatting / linting setup (eliminating a whole class of "it works on my machine" problems)

            additionally, it looks like flakehell has direct support for pre-commit, so you don't need to use the repo: local escape hatch as you're doing

            putting all of that together, you probably want something like this:

            Source https://stackoverflow.com/questions/65658117

            QUESTION

            ModuleNotFoundError: No module named 'jinja2' during deployment of django project on heroku
            Asked 2020-Dec-15 at 21:30

            Well Here I am trying to deploy my first django app and getting error :ModuleNotFoundError: No module named 'jinja2'. I don't know where jinja came from. In my requirement file there is no jinja. Tell me if you know how to fix it. I shall be very thankful to you.

            trackback:

            ...

            ANSWER

            Answered 2020-Dec-15 at 21:30

            Based on the traceback and the requirements.txt of the knox project [GitHub], knox needs Jinja, indeed:

            Source https://stackoverflow.com/questions/65313891

            QUESTION

            ModuleNotFoundError: No module named 'flake8'
            Asked 2020-Dec-15 at 20:12

            here is the part of the files that are important for this question:

            ...

            ANSWER

            Answered 2020-Jul-21 at 20:31

            My compliments on such an extensive report. Your issue lies probably in this weird setup you've got going on.

            Source https://stackoverflow.com/questions/62667763

            QUESTION

            Running through an environmental error during deploying django app on heroku
            Asked 2020-Dec-15 at 18:48

            I have created virtual env with anaconda prompt and created my django project in that env. I have created repository on github and push my code there and also create app on heroku but when i am running this git push heroku main command, it showing me an error which I have given below:

            ERROR: Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: '/tmp/build/80754af9/asgiref_1605055780383/work'..

            traceback:

            ...

            ANSWER

            Answered 2020-Dec-15 at 18:48

            Edit your requirements to point to asgiref version instead of temporary file

            For example

            Source https://stackoverflow.com/questions/65311505

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

            Vulnerabilities

            No vulnerabilities reported

            Install pep8-naming

            You can install using 'pip install pep8-naming' or download it from GitHub, GitLab, PyPI.
            You can use pep8-naming 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 .
            Find more information at:

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            Install
          • PyPI

            pip install pep8-naming

          • CLONE
          • HTTPS

            https://github.com/PyCQA/pep8-naming.git

          • CLI

            gh repo clone PyCQA/pep8-naming

          • sshUrl

            git@github.com:PyCQA/pep8-naming.git

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