semvec/pypi-packages huggingface dataset:
word-levenshtein 0.0.3
Levenshtein in C++ for Python
Requires Python: >=3.7

# word_levenshtein

[![Python package](https://github.com/wq2012/word_levenshtein/actions/workflows/python-package.yml/badge.svg)](https://github.com/wq2012/word_levenshtein/actions/workflows/python-package.yml)
[![PyPI Version](https://img.shields.io/pypi/v/word_levenshtein.svg)](https://pypi.python.org/pypi/word_levenshtein)
[![Python Versions](https://img.shields.io/pypi/pyversions/word_levenshtein.svg)](https://pypi.org/project/word_levenshtein)
[![Downloads](https://static.pepy.tech/badge/word_levenshtein)](https://www.pepy.tech/projects/word_levenshtein)

A Python package of Levenshtein algorithm, but implemented in C++.
iteach-dhyolo 0.3
The iteach package includes the dhyolo model, designed to detect doors and handles in images.

# iTeach DHYOLO Package

## Overview

The `iTeach_package` package provides functionalities for running YOLOv5 object detection to identify doors and handles in images. Thus package deals with inference using Yolov5 model. This package includes command-line tools for inference with YOLOv5.
slot-gacor-hari-ini 0.1.0
Slot Gacor Hari Ini - Tips dan Informasi Mesin Slot
Requires Python: >=3.6
Keywords: slot gacor, tips slot, permainan slot, judi online

Temukan dunia **slot gacor hari ini**, mesin slot yang terkenal memberikan kemenangan besar dan sering memberikan pembayaran. Dapatkan tips untuk memilih mesin yang tepat, memaksimalkan bonus, dan memahami RTP (Return to Player). Bergabunglah dengan komunitas kami untuk berbagi pengalaman dan strategi dalam meraih jackpot. Nikmati berbagai permainan slot yang mengasyikkan dan optimalkan pengalaman bermain Anda!

[Kunjungi Website Kami](https://yakin-bisa.pages.dev/) untuk informasi lebih lanjut.
mablars 0.1.9
This is a python package of mablars

# mablars: Markov blanket rule generation frameworks in Python

Mablars is a Python package to generate causal rules for fuzzy systems.   

The package is actively being developed. Feedbacks (issues, suggestions, etc.) are highly encouraged.

# Package Overview
* Markov blanket rule generation framework (MABLAR) (paper:https://ieeexplore.ieee.org/abstract/document/9659303)

* MABLAR-Causal Direction (MABLAR-CD) (paper:https://ieeexplore.ieee.org/abstract/document/10309808)

# Install

Mablars needs the following packages to be installed beforehand:
* python 3.8
* matplotlib  
* numpy
* causal-learn
* scikit-learn
* python-weka-wrapper3

To use mablars, we could install it using [pip](https://pypi.org/project/mablars/):

```
pip install mablars
```

# HTML Documentation:

You can find detailed documentation on a browsable site in the following directory:

`mablars/docs/_build/html/index.html`
streamlit-fluent-dropdown 0.0.3
Streamlit component that uses the Fluent UI to create a Dropdown box.
Requires Python: >=3.7

# streamlit-custom-component

Streamlit component that uses Fluent UI to create a Dropdown box.

## Installation instructions

```sh
pip install streamlit-fluent-dropdown
```

## Usage instructions

```python
import streamlit as st

from fluent_dropdown import fluent_dropdown

keys = ["A", "B", "C", "D"]
labels = ["Item A", "Item B", "Item C", "Item D"]

selected_idx_ = fluid_dropdown(name="default", options=labels)

st.write(keys[selected_idx])
```

The returned value of this component is the index of the selected value.
find-exe 0.2.1
Find matching executables
Requires Python: >=3.8
Keywords: binary, cli, executable, path, which

# find-exe

| | |
| --- | --- |
| CI/CD | [![CI - Test](https://github.com/ofek/find-exe/actions/workflows/test.yml/badge.svg)](https://github.com/ofek/find-exe/actions/workflows/test.yml) [![CD - Build](https://github.com/ofek/find-exe/actions/workflows/build.yml/badge.svg)](https://github.com/ofek/find-exe/actions/workflows/build.yml) [![Coverage](https://img.shields.io/codecov/c/gh/ofek/find-exe?token=0CYRLWA98C)](https://app.codecov.io/gh/ofek/find-exe) |
| Docs | [![Docs](https://github.com/ofek/find-exe/actions/workflows/docs.yml/badge.svg)](https://github.com/ofek/find-exe/actions/workflows/docs.yml) |
| Package | [![PyPI - Version](https://img.shields.io/pypi/v/find-exe.svg?logo=pypi&label=PyPI&logoColor=gold)](https://pypi.org/project/find-exe/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/find-exe.svg?logo=python&label=Python&logoColor=gold)](https://pypi.org/project/find-exe/) |
| Meta | [![Hatch project](https://img.shields.io/badge/%F0%9F%A5%9A-Hatch-4051b5.svg)](https://github.com/ofek/find-exe) [![linting - Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff) [![types - Mypy](https://img.shields.io/badge/types-Mypy-blue.svg)](https://github.com/python/mypy) [![License - MIT](https://img.shields.io/badge/license-MIT-9400d3.svg)](https://spdx.org/licenses/) [![GitHub Sponsors](https://img.shields.io/github/sponsors/ofek?logo=GitHub%20Sponsors&style=social)](https://github.com/sponsors/ofek) |

-----

This provides a library and CLI (`find-exe`) to find all executables given certain criteria.

```pycon
>>> import find_exe
>>> find_exe.with_prefix("py")
['/usr/bin/python', ...]
```

## Installation

```console
pip install find-exe
```

## Documentation

The [documentation](https://ofek.dev/find-exe/) is made with [Material for MkDocs](https://github.com/squidfunk/mkdocs-material) and is hosted by [GitHub Pages](https://docs.github.com/en/pages).

## License

`find-exe` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
ape-core 0.7.4
Ape: your AI prompt engineer
Requires Python: >=3.8.10
Keywords: prompt, prompt engineering, AI prompt engineer, llm

<div align="center">
    <a href="https://www.weavel.ai/ape">
        <img src="https://www.dropbox.com/scl/fi/h7e7lunf2x8g0teeqlrlt/Ape-Logo.png?rlkey=fc9fzxye4mls00cluv08f4vus&st=pfjsapa3&raw=1" title="Logo" style="width:200px; padding: 20px;" />
    </a>
    <h1>Meet Ape - your first AI prompt engineer</h1>
    <div>
        <a href="https://pypi.org/project/ape-core" target="_blank">
            <img src="https://img.shields.io/pypi/v/ape-core.svg" alt="PyPI Version"/>
        </a>
    </div>
</div>

## About

`ape-core` is the open source library behind Ape - an AI prompt engineer built by Weavel.

## Installation

```bash
pip install ape-core
```

To enable syntax highlighting for `.prompt` files, you can use the [Promptfile IntelliSense](https://marketplace.visualstudio.com/items?itemName=Weavel.promptfile-intellisense) extension for VS Code.

## Contributing

We welcome contributions to enhance Ape's capabilities and improve its performance. To contribute, please see the [`CONTRIBUTING.md`](CONTRIBUTING.md) file for steps.

## Help and Support

If you have any questions, feedback, or suggestions, please feel free to reach out to us. you can raise an issue in the [issue tracker](https://github.com/weavel-ai/Ape/issues).

 <!-- or join the [discussions](https://github.com/weavel-ai/Ape/discussions) for general discussions. -->

We also have a Discord server for the Ape community, where you can connect with other users, share your experiences, ask questions, and collaborate on the project. To join Weavel's community Discord server, [click here](https://weavel.ai/discord).

## License

`ape-core` is released under the MIT License. See the LICENSE file for more information.

## Credits

Thanks to [Stanford NLP's DSPy](https://github.com/stanfordnlp/dspy) project for the inspiration.