semvec/pypi-packages huggingface dataset:
sphinx_timeline 0.2.1
A sphinx extension to create timelines.
Requires Python: >=3.8
Keywords: sphinx,timeline

# sphinx-timeline

[![PyPI][pypi-badge]][pypi-link]

A [sphinx](https://www.sphinx-doc.org) extension to create timelines.

## Usage

Install `sphinx-timeline` with `pip install sphinx-timeline`,
then add `sphinx_timeline` to your `conf.py` file's `extensions` variable:

```python
extensions = ["sphinx_timeline"]
```

Now add a `timeline` directive to your document:

```restructuredtext
.. timeline::
   - start: 1980-02-03
     name: 1st event
   - start: 1990-02-03
     name: 2nd event
   - start: 2000-02-03
     name: 3rd event
   ---
   **{{dtrange}}**

   *{{e.name}}*

   Description ...
```

[pypi-badge]: https://img.shields.io/pypi/v/sphinx_timeline.svg
[pypi-link]: https://pypi.org/project/sphinx_timeline
rsa-jpv 1.0.3
A 2048-bit RSA library that operates solely on integers.
Requires Python: >=3.6

<h1 align="center">rsa-jpv</h1>
<p align="center">A 2048-bit RSA library that operates solely on integers.</p>


![Badge](https://img.shields.io/pypi/pyversions/rsa-jpv)
![Badge](https://img.shields.io/pypi/v/rsa-jpv)
![Badge](https://img.shields.io/pypi/l/rsa-jpv)


## About


rsa-jpv is a 2048-bit RSA library that operates solely on integers. It has an object-oriented interface that's easy and light to use. 


## Installation


To install the library, open a terminal window and copy the command below.


```bash
pip install rsa-jpv
```


## Documentation


[API Documentation](https://github.com/jpvitan/rsa-jpv/blob/master/docs/api.md)


## Warning


This library is not suitable for any production-grade software. Don't use this to encrypt any sensitive information or data. The developer is not responsible for any damage caused by this library.


## License


This project is under the [GNU General Public License v3.0](https://github.com/jpvitan/rsa-jpv/blob/master/LICENSE). Please read the terms and conditions stated within the license before attempting any modification or distribution of the software.


## Copyright


Developed and Designed by Justine Paul Sanchez Vitan.


Copyright © 2021 Justine Paul Sanchez Vitan. All rights reserved.
flake8-dac 0.1.1
"Group and format flake8's output by the rules codes"
Requires Python: >=3.7

# flake8-dac
Tool for formatting flake8's results in more readable way, in case there's a lot of them.
The "dac" part in tool's name stands for "divide and conquer".

### flake8 output with flake8-dac formatting example

- Grouped by the type of cause (with number of occurrences).
- Sorted by the number of occurrences (descending).
- Information about number of problems.
- Rich text and formatting.
- Link to flake8rules.com (where you can find more details about the problem).

![after](https://user-images.githubusercontent.com/50829834/201550776-119d4d52-7244-4672-9b4e-56d58b7e13aa.png)

### flake8 output example

![before](https://user-images.githubusercontent.com/50829834/201550788-35ccaf54-343d-4b3e-812c-498fd1f82dd4.png)


## Installation

```
pip install flake8-dac
```

## Usage

```
flake8 [args] | flake8-dac
```

## Why?

I wrote it for myself when I had to implement flake8 into an existing project that had many problems. I find it helpful when I have problems grouped by the same type of cause. I can easily determine which problems I can ignore, and then eliminate the rest. Maybe someone will find it useful too.