semvec/pypi-packages huggingface dataset:
quizhtml 0.0.5
A package that generates question papers as HTML files to be distributed over the network and grades the answers in text files submitted by students.
Requires Python: >=3.7

# quizhtml

<strong>What is it?</strong>

quizhtml is a package that generates question papers as HTML files to be distributed over the network and grades the answers in text files submitted by students.

<strong>Help</strong>
<ul>
<li><a href="https://github.com/generateNscore/quizhtml/wiki">Documentation</a></li>
</ul>

<strong>Features</strong>
<ul>
<li>Generates as many personalized question sheets in HTML files as one wants with a few strings of text.</li>
<li>The amount of random personalization is under total control of users.</li>
<li>Each HTML file with a name corresponding to the identification number.</li>
<li>Multi-choice as well as short, default, questions can be made.</li>
<li>A figure, although a pre-made image can be used, can be varied as well as questions.</li>
<li>Mathematical equations can be included in questions with Latex.</li>
<li>User defined functions can be used.</li>
<li>With the question sheets in HTML files, students require only a web browser to answer and send text files including the answers over the network.</li>
<li>Scoring all different answers in text files submitted can be done in a second.</li>
</ul>

<strong>Where to get it</strong>
<ul>
<li>The source code is currently hosted on GitHub at: <a href="https://github.com/generateNscore/quizhtml">https://github.com/generateNscore/quizhtml</a></li>
<br>

<pre lang=sh>pip install quizhtml</pre>

</ul>

<strong>Dependencies</strong>
<ul><li>None</li></ul>

<strong>Example shots</strong>
<li>A short-answer question</li>
<img src="https://generateNscore.github.io/quizhtml/img/example1-3.png">
<li>A multiple-choice question</li>
<img src="https://generateNscore.github.io/quizhtml/img/example1-6.png">
<li>A multiple-choice question with a figure</li>
<img src="https://generateNscore.github.io/quizhtml/img/example1-2.png">
<li>A question with multiple-choice figures</li>
<img src="https://generateNscore.github.io/quizhtml/img/example1-1.png">
<li>A question with equation and with multiple-choices</li>
<img src="https://generateNscore.github.io/quizhtml/img/example1-4.png">
<li>A question with equation and with multiple-choice figures</li>
<img src="https://generateNscore.github.io/quizhtml/img/example1-5.png">
genesys 0.1.7
generates files and dependences for cgi projects
Keywords: cg,asset,shot,api,cg production,asset management

genesys is a file management and version control software that is directly intigrated with kitsu.

genesys requires a sligthly modified version of zou

docker images of our modified [zou](https://hub.docker.com/repository/docker/eaxum/zou) and [genesys](https://hub.docker.com/repository/docker/eaxum/genesys) are availble on docker hub

Genesys is built and managed by Eaxum

[![Eaxum Logo](https://eaxum.com/wp-content/uploads/2020/07/LogoCapsule_small-300x113.png)](https://eaxum.com)
autoplotlib 0.1.1
Quickly generate plots in Python by simply describing them through text.
Requires Python: >=3.7

<p align="center">
<img src="https://raw.githubusercontent.com/rdnfn/autoplotlib/main/docs/autoplotlib_logo.png" width="250" />
</p>

[![PyPI version](https://badge.fury.io/py/autoplotlib.svg)](https://pypi.org/project/autoplotlib/)

*Quickly generate plots in Python by simply describing them through text.* For example, simply use the prompt "create a scatter plot with name labels" instead of endlessly searching the docs and stackoverflow. Given such a prompt, the `autoplotlib` Python library uses the OpenAI API to automatically generate the corresponding code and plot - saving you time and effort.

> **Warning**
> This package is experimental. The package can execute code output from language models. Albeit unlikely, always check and confirm no malicious code was generated by the model before execution. Use at your own risk.

## Installation

1. Install the Python package:
    ```
    pip install autoplotlib
    ```
2. Get an OpenAI API key by [signing up here](https://platform.openai.com/overview) if you don't have one already.



## Usage

The following is an example of plotting a pandas dataframe using the `autoplotlib` library. The `plot()` function takes a prompt describing the plot and the data to plot. The function returns the plot, the generated code, and the full response from the OpenAI API.

```python
# set the OpenAI API key
import os
os.environ["OPENAI_API_KEY"] = "<YOUR_API_KEY>"

import autoplotlib as aplt
import pandas as pd

data = pd.DataFrame(
    [[29, 177], [33, 186], [48, 161], [53, 173], [67, 152]],
    index=["Alice", "Bob", "Charlie", "Dave", "Eve"],
    columns=["age", "height"],
)

figure_description = """
Plot the data as scatterplot between height and age.
Add the names as labels next to the data points.
Ensure the labels don't overlap.
Mark people taller than 170 with a star instead of a point.
"""

code, fig, llm_response = aplt.plot(figure_description, data=data)
```

<img src="https://raw.githubusercontent.com/rdnfn/autoplotlib/main/docs/autoplotlib_demo.gif" width="690" />

## Contributing

See the [development guide](https://github.com/rdnfn/autoplotlib/blob/main/docs/dev_guide.md) for information about contributing.

## Potential future features

- [ ] Add sandboxing of code execution ([see here](https://stackoverflow.com/questions/3068139/how-can-i-sandbox-python-in-pure-python#3068475))

## License

[MIT License](./LICENSE)