semvec/pypi-packages huggingface dataset:
pythonic-fp.splitends 0.30.0
Pythonic FP - Splitends
Requires Python: >=3.12
Keywords: SplitEnd, lifo, stack

# Pythonic FP - SplitEnds

PyPI project
[pythonic-fp.splitends](https://pypi.org/project/pythonic-fp.splitends/)
implementing a singularly linked data structures allowing data to be
safely shared between multiple instances.

- Singularly link stack with shareable data nodes
  - *module* `pythonic_fp.splitends.splitend`
  - *class* `SplitEnd`

- Shareable nodes used by SplitEnd instances
  - *module* `pythonic_fp.splitends.splitend_node`
  - *class* `SENode`
    - shareable nodes used by SplitEnd instances
      - this class is designed to be inaccessible to client code

This PyPI project is part of of the grscheller
[pythonic-fp namespace projects](https://github.com/grscheller/pythonic-fp/blob/main/README.md).

**Warning:** This PyPI project is Alpha level software and subject to
change. It will probably remain Alpha for quite a while.

## Documentation

Documentation hosted on
[GitHub Pages](https://grscheller.github.io/pythonic-fp-splitends/html).

## Copyright and License

Copyright (c) 2023-2025 Geoffrey R. Scheller. Licensed under the Apache
License, Version 2.0. See the LICENSE file for details.
vidfetch-bot 0.4.4
This bot watches messages for URLs then passes those to yt-dlp for processing and download. It then replies to the message containing the URL with the video embedded.
Requires Python: >=3.11
Keywords: TikTok, Instagram, YouTube, Telegram

# VidFetch_Bot

Are you sick of your friends sending you links to TikTok, Instagram, and YouTube only to have to navigate the maze of app download and account signup redirects and popups?

Just add this bot to your group's Telegram meme chat. (Or if they're using a better messaging service just DM the bot the links.)

## How to run

Examples of how to run the bot

### Docker

**TODO**

### Quadlet

If the system you're wanting to run on has Podman>=5 installed you can use [Quadlets](https://docs.podman.io/en/latest/markdown/podman-systemd.unit.5.html). Create a file `vidfetch-bot.container` and place it in `/etc/containers/systemd/`.

```ini
[Unit]
Description=A Telegram bot

[Container]
Image=ghcr.io/arthurlt/vidfetch_bot:latest
Environment="BOT_TOKEN=<INSERT_YOUR_BOT_TOKEN_HERE>"
Pull=newer
#AutoUpdate=registry

[Service]
Restart=always
TimeoutStartSec=300

[Install]
WantedBy=multi-user.target default.target
```

### Kubernetes

**TODO**

### systemd

**TODO**


## Develop

Supply your bot's API token via environment variable `BOT_TOKEN`.

### TODO:
- [x] Rewrite to use `yt-dlp` as library
- [x] Move Docker image build/publish to `workflow.yaml`
- [ ] Improve README
- [ ] Add/improve docstrings
- [ ] Add (more) unit tests
- [ ] Improve CI vs CD workflows
- [ ] Enable 'strict' checking for `pyright` (unsure how to handle `yt-dlp`)
- [ ] Shrink container image
pythonic-fp.containers 2.0.0
Developer Tools - Container-like data structures
Requires Python: >=3.12
Keywords: boxes, functional_tuple, immutable_list, maybe

# Pythonic FP - Containers

PyPI project
[pythonic-fp.containers](https://pypi.org/project/pythonic-fp.containers/)
implements a Python package of container like data structures.

| Description | Module |
|:----------- |:----------- |
| Single item box | *module* `pythonic_fp.containers.box` |
| Functional tuple | *module* `pythonic_fp.containers.functional_tuple` |
| Immutable list | *module* `pythonic_fp.containers.immutable_list` |
| Maybe monad | *module* `pythonic_fp.containers.maybe` |
| Either monad | *module* `pythonic_fp.containers.xor` |

This PyPI project is part of of the grscheller
[pythonic-fp namespace projects](https://github.com/grscheller/pythonic-fp/blob/main/README.md).

## Documentation

Documentation hosted on
[GitHub Pages](https://grscheller.github.io/pythonic-fp-containers/html).

## Copyright and License

Copyright (c) 2023-2025 Geoffrey R. Scheller. Licensed under the Apache
License, Version 2.0. See the LICENSE file for details.