semvec/pypi-packages huggingface dataset:
lynxy 1.0.0
A package made for easy communication and sending of data from one machine to the other.
Requires Python: >=3.9

<!-- # **lynxy**
<b>Local <br>
(Yielding?) <br>
Network <br>
(eXchange?) <br>
(the extra y is cosmetic~)</b>
***
# **Introduction**
Lynxy , also known as lynx,  is a LAN server-client system coded in Python. It allows for easy setup of a server, as well as easy setup for clients on the same network as the server. 
Check out the github below to learn how to use Lynxy!
- [Github](https://github.com/SketchedDoughnut/lynxy) -->

# **What is Lynxy?**
<b>Lively <br>
(Yielding?) <br>
Network <br>
(eXchange?) <br>
(the extra y is cosmetic~)</b>

***

Lynxy is a client system coded in Python for ease of communication. It allows for easy set up for connecting
machines to each other, as well as providing a lot of extra features.

Check out the [Github](https://github.com/SketchedDoughnut/lynxy) to learn more!
cuspy 0.1.3
Config Utils for Python
Requires Python: >=3.5

# Config for Python

## 1. Introduction
Parse config from json file

## 2. Usage

### 2.1 Basic

* config.json
```json
{
  "a": 1,
  "b": 2
}
```
* python file
```python
from cuspy import ConfigUtils

config = ConfigUtils("config.json")
a = config.aaa_config.a
b = config.aaa_config.b
```

### 2.2 File/Directory Path

* config.json
```json
{
  "aaa_config": {
    "root": "/home/aaa",
    "data_dn": "data_dir",
    "data_fp": "data.tsv"
  }
}
```

* python file
```python
from cuspy import ConfigUtils

config = ConfigUtils("config.json")

data_dp = config.aaa_config.data_dp
# data_dp = "/home/aaa/data_dir"

data_fp = config.aaa_config.data_fp
# data_fp = "/home/aaa/data_dir/data.tsv"
```
oracle-sh 0.3.1
A pairwise comparer to discover your truth
Requires Python: >=3.8

# oracle-sh

[![PyPI](https://img.shields.io/pypi/v/oracle-sh)](https://pypi.org/project/oracle-sh/)

A pairwise comparer to discover your truth

Oracle tracks trials and successes for prompted options. Over time and with enough prompting, the results will show what you actually want between the available choices. If you want, you can also run a single trial, and take that as a final decision.

Oracle uses a random weighted sampling method to determine the final fate. This will be updated in the future, including to automatically tell you when Oracle has enough information to make a firm decision.

## Usage

- `oracle trial`: ask the Oracle for your options, and give your response. Oracle will track your responses through time.
- `oracle fate [--verbose]`: ask the Oracle for your answer
- `oracle show [--verbose]`: show the choices that Oracle is tracking for you
- `oracle add|remove CHOICE`: edit the choices available to you
- `oracle reset`: reset all of your saved trials on your choices, but keep your choices
- `oracle clear`: clear everything that Oracle knows

Oracle can keep track of any number of options for you, but won't remove any options unless explicitly told.
rockai 0.1.74
Python SDK for RockAI.online
Requires Python: <=3.13,>=3.10

# Setup

Python SDK for inference and training for RockAI

```shell
# Install package using pip
pip install rockai-cli-app
```

```python
from rockai_cli_app import Client
import asyncio

my_client = Client()


# Function to run the asynchronous function and print the result
async def main():
    
    result = await my_client.run_async(
        version="001bb81139b01780380407b4106ac681df46108e002eafbeb9ccb2d8faca42e1",
        input={
            "width": 1024,
            "height": 1024,
            "prompt": "a cartoon of a IRONMAN fighting with HULK, wall painting",
            "guidance_scale": 3,
            "negative_prompt": "(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, NSFW",
            "num_inference_steps": 15,
        }
    )
    print("Result:", result)


# Run the main function using asyncio.run
if __name__ == "__main__":
    asyncio.run(main())
```

```shell
# clean docker space
docker system prune --all --force --volumes
```

# Development
* Python version 3.9.19