semvec/pypi-packages huggingface dataset:
exteragram-support-assets 0.1.0
Static assets for exteraGram SupportDevelopment plugin
Requires Python: >=3.9
Keywords: exteragram, assets, plugin

# exteragram-support-assets

Static local assets package for exteraGram `SupportDevelopment` plugin.

## What is inside
- `particle.svg`
- `particle.pathd.txt`
- `model.binobj.zlib.b64`

## Install
```bash
pip install exteragram-support-assets
```

## Update
```bash
pip install --upgrade exteragram-support-assets
```

## Runtime policy
This package is designed for **offline runtime usage**:
- no runtime HTTP/HTTPS downloads,
- assets are read from installed local package files only.

## Access from plugin code
```python
from exteragram_support_assets import get_asset_path

svg_path = get_asset_path("particle.svg")
```
llama-index-readers-bitbucket 0.4.2
llama-index readers bitbucket integration
Requires Python: <4.0,>=3.9
Keywords: bitbucket, project, repository

# Bitbucket Loader

```bash
pip install llama-index-readers-bitbucket
```

This loader utilizes the Bitbucket API to load the files inside a Bitbucket repository as Documents in an index.

## Usage

To use this loader, you need to provide as environment variables the `BITBUCKET_API_KEY` and the `BITBUCKET_USERNAME`.

```python
import os
from llama_index.core import VectorStoreIndex, download_loader

os.environ["BITBUCKET_USERNAME"] = "myusername"
os.environ["BITBUCKET_API_KEY"] = "myapikey"

base_url = "https://myserver/bitbucket"
project_key = "mykey"

from llama_index.readers.bitbucket import BitbucketReader

loader = BitbucketReader(
    base_url=base_url,
    project_key=project_key,
    branch="refs/heads/develop",
    repository="ms-messaging",
)
documents = loader.load_data()

index = VectorStoreIndex.from_documents(documents)
```

This loader is designed to be used as a way to load data into [Llama Index](https://github.com/run-llama/llama_index/).

For a step-by-step guide, checkout this [tutorial](https://lejdiprifti.com/2023/12/16/ask-your-bitbucket-rag-with-llamaindex-and-bitbucket/)
pypura 2.1.2
Python package for interacting with Pura smart fragrance diffuser
Requires Python: >=3.10

<picture>
  <source media="(prefers-color-scheme: dark)" srcset="https://brands.home-assistant.io/pura/dark_logo.png">
  <img alt="Pura logo" src="https://brands.home-assistant.io/pura/logo.png" width="280">
</picture>

# pypura

[![PyPI - Version](https://img.shields.io/pypi/v/pypura?style=for-the-badge)](https://pypi.org/project/pypura/)
[![Buy Me A Coffee/Beer](https://img.shields.io/badge/Buy_Me_A_☕/🍺-F16061?style=for-the-badge&logo=ko-fi&logoColor=white&labelColor=grey)](https://ko-fi.com/natekspencer)
[![Sponsor on GitHub](https://img.shields.io/badge/Sponsor_💜-6f42c1?style=for-the-badge&logo=github&logoColor=white&labelColor=grey)](https://github.com/sponsors/natekspencer)

[![GitHub License](https://img.shields.io/github/license/natekspencer/pypura?style=flat-square)](LICENSE)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pypura?style=flat-square)](https://pypi.org/project/pypura/)
![Pepy Total Downloads](https://img.shields.io/pepy/dt/pypura?style=flat-square)
![PyPI - Downloads](https://img.shields.io/pypi/dm/pypura?style=flat-square)

A Python package for interacting with Pura smart fragrance diffusers over the cloud. Used in the [Pura for Home Assistant integration](https://github.com/natekspencer/ha-pura).

## ❤️ Support Me

I maintain this python project in my spare time. If you find it useful, consider supporting development:

- 💜 [Sponsor me on GitHub](https://github.com/sponsors/natekspencer)
- ☕ [Buy me a coffee / beer](https://ko-fi.com/natekspencer)
- 💸 [PayPal (direct support)](https://www.paypal.com/paypalme/natekspencer)
- ⭐ [Star this project](https://github.com/natekspencer/pypura)
- 📦 If you’d like to support in other ways, such as donating hardware for testing, feel free to [reach out to me](https://github.com/natekspencer)

If you don't already own a Pura diffuser, please consider using [my referral code (JG5JN31)](http://rwrd.io/ref_JG5JN31) to get $20 off your first order of $50+ (as well as a tip to me in appreciation)!

## 📈 Star History

[![Star History Chart](https://api.star-history.com/svg?repos=natekspencer/pypura)](https://www.star-history.com/#natekspencer/pypura)
lao2ipa 1.0.0
A package to transliterate Lao characters into a number of romanization systems, such as IPA and MoH2020
Requires Python: >=3.6
Keywords: lao, transliterate, transliteration, ipa, lao2ipa, converter

# lao2ipa

Lightweight rule-based Lao → IPA transliteration utilities.

This package tokenizes Lao text into orthographic units, groups characters into syllables, applies tone-placement heuristics, and renders IPA transliterations (with optional alternate outputs).

## Quickstart

Install (from PyPI):

```bash
pip install lao2ipa
```

Install (from source):

```bash
pip install -e .
```

Basic usage (Python):

```python
from lao2ipa import transliterate

print(transliterate('ສະບາຍດີ'))  # example output: IPA transliteration
```

Function signature:
- `transliterate(lao_source: str, output: str = 'ipa', ignore_tones: bool = False, remove_karan_phonemes: bool = False)`

Output keys (valid `output` values):
- `ipa` — Unicode IPA transliteration (default)
- `moh` — Ministry of Health (MoH 2020) romanization mapping

## Development

- Run tests with `pytest -q`.
- Code lives in `src/lao2ipa.py`.

## Contributing

Please open an issue or PR if you find incorrect mappings or wish to
improve heuristics (tone assignment and vowel clusters are the most
likely areas to require refinement).

## License

See the `LICENSE` file in the repository root.