flake8 | Please open issues and pull requests | Code Analyzer library

by pycqa Python Version: 7.1.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | flake8 Summary

flake8 is a Python library typically used in Code Quality, Code Analyzer applications. flake8 has no bugs, it has no vulnerabilities and it has low support. However flake8 build file is not available and it has a Non-SPDX License. You can install using 'pip install flake8' or download it from GitLab, PyPI.

image:: :target: :alt: build status. image:: :target: :alt: pre-commit.ci status.

Support

Quality

Security

License

Reuse

Support

flake8 has a low active ecosystem.

It has 446 star(s) with 196 fork(s). There are no watchers for this library.

There were 1 major release(s) in the last 12 months.

flake8 has no issues reported. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flake8 is 7.1.0

Quality

flake8 has no bugs reported.

Security

flake8 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

flake8 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.

Reuse

flake8 releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

flake8 has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed flake8 and discovered the below as its top functions. This is intended to give you an instant insight into flake8 implemented functionality, and help decide if they suit your requirements.

Parse file and return a list of filenames
Tokenize file to list
Parse a unified diff string
Read the value from stdin
Handle an error
Return source code
Handle the given error
Format error message
Build a style guide
Make a checker manager
Aggregate the options from a configparser
Load a config file
Add command line options
Parse the flake8 config file
Check if a filename matches a given pattern
Return information about the installed plugins
Parse plugin options
Run flake8 checks
Report the results of the checker
Runs the checks
Populate the default style guide
Find plugins
Create a file processor
Load plugins
Normalize paths
Return the exit code

Get all kandi verified functions for this library.

flake8 Key Features

No Key Features are available at this moment for flake8.

flake8 Examples and Code Snippets

No Code Snippets are available at this moment for flake8.

Community Discussions

Trending Discussions on flake8

Azure Pipelines - proper way to use Poetry

TypeError: load() missing 1 required positional argument: 'Loader' in Google Colab

Reset some object attributes to initial values

How do I output only a capture group with sed

Is it possible to write a PEP 8 compliant, one-line, conditional expression that can do nothing?

How to make flake8 fail if a plugin is not installed?

Can a class attribute shadow a built-in in Python?

Ignore Flake8 "Line too long" error in gitlab CI

Solving conda environment stuck

How to have a single source of truth for poetry and pre-commit package version?

QUESTION

Azure Pipelines - proper way to use Poetry

Asked 2022-Mar-14 at 14:41

what would be a recommended way to install your Python's package dependencies with poetry for Azure Pipelines? I see people only downloading poetry through pip which is a big no-no.

...

ANSWER

Answered 2022-Mar-11 at 09:05

From your description, I think the agent you are using is a Microsoft agent?

I checked the official document of the Microsoft agent, there is no poetry provided. Therefore, if you use Microsoft-host agent and you want to use poetry, install poetry during the pipeline run is inevitable

So I recommend you run your pipeline on a self-host agent.

You can use a VM or your local machine which already has the poetry and then set up a self-host agent on it.

After that, you can run your pipeline on it, this time you don't need to install the poetry anymore.

Detailed steps:

1, run the below command on a VM or local machine.

pip install poetry

2, Install configure, and run the agent in above VM or machine.

On my side, I set up an agent on VM:

Please refer to this official document, this document will tell you how to install and run the self-host agent on your side:

https://docs.microsoft.com/en-us/azure/devops/pipelines/agents/v2-windows?view=azure-devops

3, Run your pipeline based on the agent that ran above.

Source https://stackoverflow.com/questions/71423949

QUESTION

TypeError: load() missing 1 required positional argument: 'Loader' in Google Colab

Asked 2022-Mar-04 at 11:01

I am trying to do a regular import in Google Colab.
This import worked up until now.
If I try:

...

ANSWER

Answered 2021-Oct-15 at 21:11

Found the problem.
I was installing pandas_profiling, and this package updated pyyaml to version 6.0 which is not compatible with the current way Google Colab imports packages.
So just reverting back to pyyaml version 5.4.1 solved the problem.

For more information check versions of pyyaml here.
See this issue and formal answers in GitHub

##################################################################
For reverting back to pyyaml version 5.4.1 in your code, add the next line at the end of your packages installations:

Source https://stackoverflow.com/questions/69564817

QUESTION

Reset some object attributes to initial values

Asked 2022-Feb-01 at 17:11

Requirement:

I have a class with many fields initialized in __init__ method. Some of these fields should be possible to reset to initial values via a reset() method. I would like to provide typing info for these attributes and make Flake, MyPy, PyCharm (and me) happy with the solution.

Possible solutions:

Duplicate initial values

In this solution all tools (MyPy, Flake, PyCharm) are happy but not me. I have initial values in two places (__init__ and reset) and I need to keep them in sync. There is a possibility that if in the future one initial value needs to be modified, then I will not change it in both places.
...

ANSWER

Answered 2022-Jan-27 at 13:45

You could write a custom descriptor that stores the default value and handles the resetting.

Source https://stackoverflow.com/questions/70867907

QUESTION

How do I output only a capture group with sed

Asked 2022-Jan-14 at 15:48

I have an input file

...

ANSWER

Answered 2022-Jan-14 at 10:30

Using sed:

Source https://stackoverflow.com/questions/70709008

QUESTION

Is it possible to write a PEP 8 compliant, one-line, conditional expression that can do nothing?

Asked 2022-Jan-14 at 01:06

Let's say I have the following code

...

ANSWER

Answered 2022-Jan-14 at 01:06

You could do:

Source https://stackoverflow.com/questions/70704930

QUESTION

How to make flake8 fail if a plugin is not installed?

Asked 2022-Jan-12 at 20:08

I use flake8 + flake8-docstrings for enforcing the style guide in one of my projects. My pre-commit git hook has this line in it, so that it fails if flake8 finds something:

...

ANSWER

Answered 2022-Jan-12 at 14:05

currently there is no such feature -- but in flake8 5.x (the next released version) there will be a (name pending) --require-plugins option

your best bet at the moment is to either (1) search pip freeze for flake8-docstrings (2) search flake8's --version output for flake8-docstrings

Source https://stackoverflow.com/questions/70680757

QUESTION

Can a class attribute shadow a built-in in Python?

Asked 2022-Jan-05 at 17:21

If have some code like this:

...

ANSWER

Answered 2022-Jan-05 at 17:11

You shouldn't have a problem with the code. As long as the function is referenced with self.open() and not open(), it should work. Just make sure the class does not already have an open() function.

Source https://stackoverflow.com/questions/70596809

QUESTION

Ignore Flake8 "Line too long" error in gitlab CI

Asked 2021-Dec-24 at 11:23

I'm using flake8 in my gitlab CI stage. my .gitlab-ci.yaml linting stage looks like this :

...

ANSWER

Answered 2021-Dec-24 at 11:23

Yeah you can do it by passing an argument.

Source https://stackoverflow.com/questions/70472334

QUESTION

Solving conda environment stuck

Asked 2021-Dec-22 at 18:02

I'm trying to install conda environment using the command:

...

ANSWER

Answered 2021-Dec-22 at 18:02

This solves fine (), but is indeed a complex solve mainly due to:

underspecification
lack of modularization

Underspecification

This particular environment specification ends up installing well over 300 packages. And there isn't a single one of those that are constrained by the specification. That is a huge SAT problem to solve and Conda will struggle with this. Mamba will help solve faster, but providing additional constraints can vastly reduce the solution space.

At minimum, specify a Python version (major.minor), such as python=3.9. This is the single most effective constraint.

Beyond that, putting minimum requirements on central packages (those that are dependencies of others) can help, such as minimum NumPy.

Lack of Modularization

I assume the name "devenv" means this is a development environment. So, I get that one wants all these tools immediately at hand. However, Conda environment activation is so simple, and most IDE tooling these days (Spyder, VSCode, Jupyter) encourages separation of infrastructure and the execution kernel. Being more thoughtful about how environments (emphasis on the plural) are organized and work together, can go a long way in having a sustainable and painless data science workflow.

The environment at hand has multiple red flags in my book:

conda-build should be in base and only in base
snakemake should be in a dedicated environment
notebook (i.e., Jupyter) should be in a dedicated environment, co-installed with nb_conda_kernels; all kernel environments need are ipykernel

I'd probably also have the linting/formatting packages separated, but that's less an issue. The real killer though is snakemake - it's just a massive piece of infrastructure and I'd strongly encourage keeping that separated.

Source https://stackoverflow.com/questions/70451652

QUESTION

How to have a single source of truth for poetry and pre-commit package version?

Asked 2021-Dec-10 at 17:19

I'm looking into this Python project template. They use poetry to define dev dependencies

...

ANSWER

Answered 2021-Nov-27 at 16:17

I would recommend keeping the linter stuff only in the config of pre-commit.

pre-commit doesn't necessarily run as a pre-commit hook. You can run the checks every time by pre-commit run --all-files or if you want to run it only on given files with pre-commit run --files path/to/file.

You can even say which which check should run, e.g. pre-commit run black --all-files

Source https://stackoverflow.com/questions/70127649

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