semvec/pypi-packages huggingface dataset:
pdxpy 0.1.1
A small package to convert python data structures to Pdxscript.
Requires Python: >=3.8

# Pdxpy

Converter for Python data structures to pdxscript.

For example, 
```
"test_effect": {
    "if": [
        {
            "limit": {
                "NOT": {
                    "has_variable": "some_variable"
                }
            }
        },
        {
            "set_variable": "some_variable"
        }
    ]
}
```

gets converted to 

```
test_effect = {
    if = {
        limit = {
            NOT = { 
                has_variable = some_variable
            }
        }
        set_variable = some_variable
    }
}
```
image-scraper-tool 0.1.4
A package to search Google Images and extract image URLs.
Requires Python: >=3.6

# Image Scraper Tool

`image-scraper-tool` is a Python package that allows users to search for images on Google and extract image URLs along with metadata.

## Features

- Search for images based on a query
- Extract image URLs, thumbnails, and metadata
- Export data to an Excel file

## Installation

```bash
pip install image-scraper-tool
okrolearn 2.7.0
A machine learning library created by Okerew, which is supposed to be a raw implementation of combining pytorch with scikit-learn
Requires Python: >=3.8

# Okrolearn

![Okrolearn Logo](https://github.com/Okerew/okrolearn/assets/93822247/2c3e95ea-394d-4e29-8b97-13281ee695b7)

Okrolearn is a machine learning library created by Okerew.

## Installation

To install Okrolearn for cpu, use:
`pip install okrolearn==0.2.2`
<br>
To install for gpu do
`pip install okrolearn`
<br>
#Note venv is recommended

## Usage

To use Okrolearn in your code, import the main module:
```python
from okrolearn import okrolearn
okrolearn.Tensor() # Example usage
```
To integrate Okrolearn into your project directory, install the requirements and import it:
`from okrolearn.src.okrolearn import *`
You can also download the okrolearn.py file and import it:
`from okrolearn import *`
## Notes
The gpu version will not work as good as cpu version for small data
mango-test-framework 0.1.0
A simple testing framework in Python.

# Mango Test
A simple testing framework in python.

HOW TO USE:
Firstly enter the command in your terminal: pip install mango_test_framework
after that go to your python code and type: from mango_test_framework import mangostart, mangoend, summary
This imports the package.
Then you need to wrap the code you want to test inside mangostart() and mangoend()

This is an example:
mangostart()
code = """
x = 1
y = 1
assert x + y == 2
"""
mangoend(code)

*Note that you need to add the variable you have the code you want to test as an argument inside mangoend()*

ENJOY!
rayshnakht 0.1.0
A custom hashing algorithm
Requires Python: >=3.6

## Usage

Here's how to use the rayshnakht_v1 hashing algorithm:

```python
from rayshnakht import rayshnakht_v1

hasher = rayshnakht_v1()
input_string = "Hello, World!"
hashed_string = hasher.rayshnakht_v1(input_string)
print(f"Hashed string: {hashed_string}")
custom-image-extractor 0.1.3
A package to search Google Images and extract image URLs.
Requires Python: >=3.6

# Custom Image Search

`custom-image-search` is a Python package that allows users to search for images on Google and extract image URLs along with metadata.

## Features

- Search for images based on a query
- Extract image URLs, thumbnails, and metadata
- Export data to an Excel file

## Installation

```bash
pip install custom-image-search
custom-image-search 0.1.1
A package to search Google Images and extract image URLs.
Requires Python: >=3.6

# Custom Image Search

`custom-image-search` is a Python package that allows users to search for images on Google and extract image URLs along with metadata.

## Features

- Search for images based on a query
- Extract image URLs, thumbnails, and metadata
- Export data to an Excel file

## Installation

```bash
pip install custom-image-search