semvec/pypi-packages huggingface dataset:
stefan-on-software-renderer 0.1.0
A simple program that can render Markdown that includes custom XML tags.
License: MIT
Keywords: markdown

# stefan-on-software-renderer

A simple wrapper around the [markdown2](https://github.com/trentm/python-markdown2) library that can render Markdown files that also include custom XML tags. I use this to render pages in [my website](https://github.com/Stefan4472/Stefans-Blog). Simply call
```
stefan_on_software_renderer.render_string(post_text: str)
```

to render the provided text. You can add a figure to your markdown using the custom `x-image` tag:
```
<x-image>
  <path>colorwheel.png</path>
  <caption>The RGB color wheel ([source](https://cdn.sparkfun.com/r/600-600/assets/learn_tutorials/7/1/0/TertiaryColorWheel_Chart.png))</caption>
  <alt>Image of the RGB color wheel</alt>
</x-image>
```

You can add a code block with [pygments](https://pygments.org/) syntax highlighting using the custom `<x-code>` tag:
```
# See the pygments languages documentation for a list of possible "language" arguments (https://pygments.org/languages/). Leave blank for no styling
<x-code language="python">
if __name__ == '__main__':
    print('Hello world')
</x-code>
```

The utility function `find_images()` can be used to get all the `paths` from the `x-image` tags in the string. `is_markdown_valid()` can be used to test whether a given text can be correctly rendered.
uvtools 0.2.0
Tools useful for the handling, visualization, and analysis of interferometric data.
License: MIT
Requires Python: >=3.8

# uvtools
[![Build Status](https://travis-ci.org/HERA-Team/uvtools.svg?branch=master)](https://travis-ci.org/HERA-Team/uvtools)
[![codecov](https://codecov.io/gh/HERA-Team/uvtools/branch/main/graph/badge.svg?token=BImdA3Oz6u)](https://codecov.io/gh/HERA-Team/uvtools)

Tools useful for the handling, visualization, and analysis of interferometric data.

## Installation
Best method is to install from [![pypi](https://pypi.org/project/uvtools)] with `pip install uvtools`


Developer install from the github repo by cloning/pulling and then in ./uvtools/ run `pip install .`

If you use `conda` (preferred), then you may wish to install the following packages
manually before installing `uvtools` (if you don't have them already)::

    $ conda install -c conda-forge numpy scipy "aipy>=3.0rc2"

If you are developing `uvtools`, you will also require `nose` and `pyuvdata` to run
tests. All of these packages can be installed with the following commands::

    $ conda create -n uvtools python=3
    $ conda activate uvtools
    $ conda env update -n uvtools -f environment.yml
    $ pip install -e .

To test the package, execute the following command::

    $ nosetests uvtools/tests/test_dspec.py uvtools/tests/test_utils.py

## Making a Release

To make a release of `uvtools` (both on Github and PyPI), head to the most current
[Draft Release](https://github.com/HERA-Team/uvtools/releases) and note the *suggested*
release version. Contact the maintainers with your intention to make a release either
to that version (or, if appropriate, to a different version), and publish the release
via the Github UI. All done!
Beamng-Zoe 0.1.25
A python testing framework
License: MIT


# Zoe Job framework

If you are new to Zoe, look at the architecture docs there: [misc/ZoeArch.md](misc/ZoeArch.md)

This repository is the client part of the Zoe architecture that executes work items on target machines.

It consists of:
* a python library that implements the base primitives: [Zoe](Zoe)
* and several [examples](examples)

## Conventions

* All jobs should be in files named `*.job.py`. This way the version control systems can trigger jobs correctly.
* Only one job per file
* Try to keep complexity down as much as possible, increasing maintainability of the overall system
* Try to write the code in a cross-platform matter if simple enough (linux/windows/console)


### Installation
```batch
pip install zoe
```

to run:
```batch
python -m Zoe
```
## Development: start / testing

Run the solution in vscode with F5, see `.vscode/launch.json`

## Manual testing

just execute any .job.py file in python:

```batch
examples\\01-simple-svn-checkout.job.py
```