semvec/pypi-packages huggingface dataset:
django-vector-sense-blog 1.0
Geocoder Vector Sense
Requires Python: >=3.5

==========================
Django Vector Sense App
==========================

Geocoder app

Quick Start
===========

1. Add "django_blog" to your ``INSTALLED_APPS`` settings like this::

    INSTALLED_APPS = [
        ...
        'django_blog',
    ]

2. Include the polls URLconf in your project ``urls.py`` like this::

    path('django_blog/', include('django_blog.urls', namespace='django_blog')),

3. Run ``python manage.py migrate`` to create the Blogs models.

4. Start the development server and visit ``http://localhost:8080`` to run the app.
visjs-component 0.2.0
Streamlit component that wraps visjs
Requires Python: >=3.7

# Streamlit visjs component

Streamlit component that wraps [vis.js](https://visjs.org/).

## Installation instructions 

```sh
pip install visjs-component
```

## Usage instructions

```python
import streamlit as st
from visjs_component import visjs

data = {
    "nodes": [
        {"id": 1, "label": "Node 1"},
        {"id": 2, "label": "Node 2"},
        {"id": 3, "label": "Node 3"},
        {"id": 4, "label": "Node 4"},
        {"id": 5, "label": "Node 5"},
    ],
    "edges": [
        {"from": 1, "to": 3},
        {"from": 1, "to": 2},
        {"from": 2, "to": 4},
        {"from": 2, "to": 5},
    ],
    "options": {
        "nodes": {
            "shape": "dot",
            "size": 16,
        },
        "edges": {
            "color": "#000000",
        },
        "physics": {
            "enabled": True,
        },
        "interaction": {
            "hover": True,
        },
        "height": "500px",
    },
}

eventHandlers = [
    {
        "event": "click",
        "callback": lambda eventData: st.json(
            eventData['data']
        ),
    }
]

visjs(title="# Network Vis", type="network", data=data, eventHandlers=eventHandlers, key="my_network_id")
```

Supports all vis.js types: 
- network
- timeline
- graph3d


## Change Log
All notable changes to this project will be documented in this file.
 
The format is based on [Keep a Changelog](http://keepachangelog.com/)
and this project adheres to [Semantic Versioning](http://semver.org/).
 
## [0.2.0] - 2024-05-27
 
### Added
- New `combined.py` example with the 3 types of visualisations
- Support for multiple instances by adding a `key` parameter as shown below

```
visjs(title="# Network Vis", type="network", data=data, eventHandlers=eventHandlers, key="your_unique_key")
```

### Changed

- `title` property is now optional.


## Donate

If you like this project and want to support it, please consider donating.

[![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/C0C4OBZTC)
python-text-cleaning 0.1.7
mostly mapping characters
Requires Python: <4.0,>=3.10

![tests](https://github.com/dertilo/python-text-cleaning/actions/workflows/tests.yml/badge.svg)
[![pypi](https://img.shields.io/pypi/v/python-text-cleaning.svg)](https://pypi.python.org/project/python-text-cleaning)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![bear-ified](https://raw.githubusercontent.com/beartype/beartype-assets/main/badge/bear-ified.svg)](https://beartype.readthedocs.io)
[![Ruff-ified](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/dertilo/python-linters/blob/master/python_linters/ruff.toml)


# text-cleaning
- mostly mapping characters
- for example: `Á, Ǎ, À, Å, Â, Ā` to `A`
multiply-internship-2024 0.1
Description of your package
Requires Python: >=3.6

A small demo library for a Medium publication about publishing libraries.

## Installation 

```python
pip3 install multiply_internship_2024
```
## Get Started
How to multiply one number by another with this lib:
```python
from multiply_internship_2024 import multiplication

multiplication = Multiplication(2)

result = multiplication.multiply(5)
```
boolgen 1.1.0
A library for generating and simplifying Boolean expressions from truth tables
Requires Python: >=3.6

# boolgen

`boolgen` is a Python library and command-line tool for generating and
simplifying Boolean expressions from truth tables. 

The library implements a version of the [Quine-McCluskey
method](https://en.wikipedia.org/wiki/Quine%E2%80%93McCluskey_algorithm) to
perform the simplification. I created it to help with [designing digital logic
circuits](https://github.com/SebLague/Digital-Logic-Sim) from truth tables.

## Installation

To install `boolgen`, use pip:

```bash
pip install boolgen
```

If you download the source, you can run the [unit tests](tests/).

## Command-Line Interface

The `boolgen` tool can be used from the command line to process truth tables
stored in files and output simplified Boolean expressions.

### Syntax

```bash
boolgen <input_file>
```

- `<input_file>`: Path to the input file containing the truth table.

If no filename is provided, then `boolgen` will try to read the table from
`STDIN`.

### Example Input File

Create a file named `input.txt` with the following content:

```
A B C D= E=
0 0 0 0 1
0 0 1 1 0
0 1 0 1 0
1 0 0 1 0
1 1 1 0 1
```

Input and output variables can be identified with any alphanumeric string
(including underscores). Output variables are identified by a pre- or postfix
'='. If no output variable is explicitly declared, the last column in the table
is assumed to be the output.

### Output

`boolgen` will output the simplified Boolean expressions for each output variable in the truth table.

```
D = A | B & ~C
E = ~A & ~B & ~C | A & B & C
```

In degenerate cases, an output variable might be set to `0` or `1`.

## Library

You can also `import boolgen` into your own project. See the function
definitions for an idea of how it all works.

## Contributing

Contributions are welcome! Please fork the repository and submit pull requests.

## License

This project is licensed under the MIT License. See [LICENSE.md](LICENSE.md)
for details.

TBQH I used ChatGPT liberally when creating this module, so if you find your
own code in here, please let me know so I can remove it or else attribute you
properly.