semvec/pypi-packages huggingface dataset:
gptzzzs 0.0.1
Gptzzzs is a tool that attempts large language model detection evasion by changing grammar.
Requires Python: >=3.1

# Quick Warning
Hey, don't cheat in school (or anything for that matter), I made this project for fun because I find ai interesting. Is it even that good? No. Words are replaced with words that don't work in context or with ancient words that don't make sense. But is it fun to play around with? Yes. So enjoy.


# GPTZzzs
ChatGpt/Gpt3 detector bypasser. This program takes a text file and replaces a percentage of the words with synonyms. This is a simple way to bypass GPT detectors and make your text look more original. This is a fun project and should not be used for cheating or any other malicious purposes.

## Getting Started
1. Download the package with `pip install gptzzzs`
2. Run the program with the following:
```python
import gptzzzs

thing = gptzzzs.Gptzzzs()

text = "" # Put your text here

response = thing.basic_change_text()(text)
```

It is recommended to go over the text and fix any weird bits once finished.

## Information
Currently, GPTZzzs works by downloading a dictionary of synonyms and replacing a number of words with their counterparts. While this works most of the time, sometimes synonyms can be very odd and would require fixing by humans.
<br/>
<br/>


|                                                                  <b>Before                                                                   |                                                                  After</b>                                                                  |
|:--------------------------------------------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------------------------------------------:|
| <img src="https://user-images.githubusercontent.com/96392121/218274220-3a7741e2-3c9b-4139-b26b-3bd5135a503c.png" height="400" width="380" /> | <img src="https://user-images.githubusercontent.com/96392121/218274223-c1f4fe84-9a61-4348-9ec7-815d7526be25.png" height="400" width="380"/> |


## TODO
- <del>Replace words with synonyms</del>
- <del>Only use synonyms that are common words in english<del>
- <del>Remove/add unnecessary words</del>
- Reorder sentences
- Switch out expressions
- Abbreviate/unabbreviate words/phrases
- AI? (Maybe)

## Appearances
- [Authorship Obfuscation in Multilingual Machine-Generated Text Detection](https://arxiv.org/abs/2401.07867)
- [Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors](https://arxiv.org/abs/2406.08922)
- [TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods](https://arxiv.org/abs/2407.21630)

## Credits
Independently developed by [Jackson Hickey](https://github.com/declipsonator). Licensed under the GNU General Public License v3.0.
mchange 1.0
Fast and Free currency converter that uses Xe.
Requires Python: >=3.6

# mchange - Fast and Free currency converter that uses Xe.
## How to use

First, install a **mchange** package:
```shell
python -m pip install mchange
```

## Code Examples

```python
import mchange

converted = mchange.convert(1, mchange.Currency.USD, mchange.Currency.MDL) # First - Quantity to be changed; Second - From; Third - To.
print(converted)
```

In this example, we found out the exchange rate of 1 dollar in Moldovan lei
All currencies are stored in the 'Currency' class.
nufictl 1.0.4
Nufictl is a command-line tool for managing CRD Npu Deployments.
Requires Python: <4.0,>=3.8

### Python CLI (name : nufictl) for CRD npudeploy 

```bash
poetry shell
poetry install
```

* nufictl exmaple
```bash
nufictl ls
+---------------------------+---------------------------+----------+---------------------+------------------+-------------------+---------------------------------------+
|           Name            |         Namespace         | Replicas |       Created       | Accelerator Type | Accelerator Count |               Endpoint URL            |
+---------------------------+---------------------------+----------+---------------------+------------------+-------------------+---------------------------------------+
|      example-foo-002      | kubeflow-user-example-com |   2/2    | 2024-08-08 06:09:46 |       none       |         1         |      https://example-foo-002-kube     |
|      example-foo-003      | kubeflow-user-example-com |   1/1    | 2024-08-09 04:24:25 |       none       |         1         |      https://example-foo-003-kube     |
| npu-deploy-nginx-hxyvjbwr | kubeflow-user-example-com |   1/1    | 2024-08-05 06:48:04 |  skt.com/aix_v1  |         1         | https://npu-deploy-nginx-hxyvjbwr-    |
+---------------------------+---------------------------+----------+---------------------+------------------+-------------------+---------------------------------------+

nufictl create

Name [npu-deploy-example]: nufictl-test
Image [nginx]: 
CPU [1]: 
Memory [1]: 
Replicas [1]: 
Accelerator Type [npu]: 
Accelerator Count [1]: 
Successfully created nufictl-test with image: nginx


nufictl run --image=nginx                                                        
Successfully created npu-deploy-nginx-70w2c8yt with image: nginx


nufictl delete npu-deploy-example                                           
Successfully deleted npu-deploy-example
```
car-price-predictor 0.1.2
A package to predict car rental prices.
Requires Python: >=3.11

# CarRentalPricingPrediction

# Car Price Predictor

This package predicts car rental prices based on various features.

## Installation

pip install .

## Usage

1. Train the model:

python scripts/train_model.py

2. Predict prices:

python scripts/predict_price.py
ruquests 1.0.0
Add your description here
Requires Python: >=3.12

# ruquests

## Usage

Calling HTTP methods (get, post, put, patch, delete) creates a request to be sent. When user wants to actually send it, it should call "send()" and it will return a response object which has the headers and the body of the response.

---

Simple usage example:

```python
import ruquests

r = ruquests.get("http://google.com", headers={"accept": "text/html"}).send()
print(r.text())
```

---

Raising for invalid status code

```python
import ruquests

r = ruquests.post("http://google.com").send()
r.raise_for_status()
```

---

Checking response headers

```python
import ruquests

r = ruquests.get("http://google.com").send()
print(r.headers)
```

---

Checking status code

```python
import ruquests

r = ruquests.get("http://google.com").send()
print(r.status_code)
```
assemblit 0.1.13
Assemblit is helping data analysts and scientists rapidly scale notebooks into analytics-as-a-service (AaaS) web-applications.
Requires Python: >=3.8.0

# assemblit

|         |                                                                                                      |
| ------- | ---------------------------------------------------------------------------------------------------- |
| Tests   | [![Unit-Tests](https://github.com/thomaseleff/assemblit/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/thomaseleff/assemblit/actions/workflows/unit-tests.yml) [![Coverage](https://raw.githubusercontent.com/thomaseleff/assemblit/main/coverage/coverage.svg)](https://github.com/thomaseleff/assemblit/blob/main/coverage/COVERAGE.md) |
| Package | [![PyPI latest release](https://img.shields.io/pypi/v/assemblit.svg)](https://pypi.org/project/assemblit/) [![PyPI downloads](https://img.shields.io/pypi/dm/assemblit.svg?label=PyPI%20downloads)](https://pypi.org/project/assemblit/) [![License - MIT](https://img.shields.io/pypi/l/assemblit.svg)](https://github.com/thomaseleff/assemblit/blob/main/LICENSE) [![Supported versions](https://img.shields.io/pypi/pyversions/assemblit.svg?logo=python&logoColor=FBE072)](https://pypi.org/project/assemblit/) |

`alpha-release` coming soon!

🦄 `assemblit` is a Python package that provides a framework of 👑 [streamlit](https://streamlit.io/) based web-components for quickly assembling end-to-end analytics-as-a-service (AaaS) web-applications. `assemblit` comes with user-authentication, a lightweight sqlite3-database backend, and workflow orchestration via 🧊 [prefect](https://www.prefect.io).

## Installation
The source code is available on [GitHub](https://github.com/thomaseleff/assemblit).

`assemblit` can be installed via PyPI from the command-line, which allows for developing locally before deploying.

1. Setup a Python developer environment. `assemblit` supports Python versions >= 3.8.
2. From the command-line, run,

   ```
   # Via PyPI
   pip install assemblit
   ```

3. Validate the installation by running,

   ```
   pip show assemblit
   ```

## First steps
Build your first `assemblit` app with the command-line utility.

1. Create a new folder to contain your `assemblit` project.
2. Open a command prompt and navigate into the new folder.
3. From the command-line, run,

   ```
   assemblit build demo
   ```