semvec/pypi-packages huggingface dataset:
Udility 2.0
A diffuser to generate illustrative images based on Meta Llama 3.5.
Requires Python: >=3.6

# Udility

Udility is a Python package for generating illustrations from text descriptions using AI.

## Features

- Generate static SVG illustrations using OpenRouter API.
- Secure authentication with MongoDB Atlas.

## Installation

To install Udility, use pip:

```bash
pip install Udility
gpu-waiter 0.1.5
a gpu device moniter could automaticly run command if device available, just for nvidia gpu.

# gpu-waiter

## 1. Overview

a gpu device moniter could automaticly run command if device available, just for nvidia gpu.

## 2. Install & Usage

### 2.1 install

```bash
pip install gpu-waiter
```

### 2.2 usage


```bash
$ waiter -g 2 -m 40G ls -alh /usr/local
$ waiter -g 2 -m 40G -c ls -alh /usr/local
$ waiter -g 2 -m 40G -c "ls -alh /usr/local"
$ waiter -c "ls -alh /usr/local" -g 2 -m 40G

$ waiter -h
usage: waiter [-h] [-c CMD] [-g GPU] [-m MEM] [-s] [-t TIME] [-vvv]

options:
  -h, --help            show this help message and exit
  -c CMD, --cmd CMD     command to run; -c could to be not specified;
                        -c could be ignored but command should be posed
                        at the end of shell sentence; command could be
                        not string only if -c is ignored.
  -g GPU, --gpu GPU     amount of gpu required.
  -m MEM, --mem MEM     memory size required.
  -s, --single_user     not use gpu if already has user.
  -t TIME, --time TIME  time of peried between check.
  -vvv, --verbose       dump all log.
```

```python
#/bin/python3
from gpu_waiter import Tasker, Waiter
from gpu_waiter import NVGPU

if __name__ == "__main__":
    nv = NVGPU(2, "23GiB", False)
    nv.check()

    task = Tasker(
        [
            "ls",
            "-alh",
            "/usr/local/",
        ],
        msg_level=1,
        devices=nv
    )

    wt = Waiter(3, task)
    wt.do_wait()
    
    wt = Waiter(3)
    wt.add_task(task)
    wt.do_wait()

```

## 3. Develop

```bash
git clone https://github.com/lijunjie2232/gpu_waiter.git
cd gpu_waiter
pip install -e .
```
---
ballpool 0.0.0
Particle Simulator Software
Requires Python: >=3.10

# Ball Pool🥎

simple molecular simulation

## Install

```bash 
pip install ballpool
```

`youtube`

[![video](https://i.ytimg.com/vi/fWzYb2FtJ6A/hqdefault.jpg?sqp=-oaymwE2CNACELwBSFXyq4qpAygIARUAAIhCGAFwAcABBvABAfgB3gOAAuADigIMCAAQARh_IBMoEzAP&rs=AOn4CLDlj0b2silFyfIcqpcb5a7zts1A9Q)](https://www.youtube.com/watch?v=fWzYb2FtJ6A)

## Example

[sample program](https://github.com/Tom-game-project/ballpool/tree/master/example)

## notice

- If particles are placed too close to each other by default (distance between particles is set to 0 or less), it will not work properly

- Spin and friction are not considered.
nomad-camels-driver-eurotherm-bisynch 0.1.0
Device driver for the Agilent 34401A digital multimeter.
Requires Python: >=3.9.6

# NOMAD-CAMELS Driver for Eurotherm controllers

Driver of Eurotherm controllers using the Eurotherm Bisynch commands, written for the measurement software [NOMAD-CAMELS](https://fau-lap.github.io/NOMAD-CAMELS/).

## Features
The driver allows setting the temperature, PID values and maximum output as well as reading temperature and actual output.
Tested for Eurotherm 902 controller, but should also work for similar ones.


## Documentation

For more information and documentation visit the NOMAD-CAMELS [documentation](https://fau-lap.github.io/NOMAD-CAMELS/doc/instruments/instruments.html).