semvec/pypi-packages huggingface dataset:
HistoryConnect 2025.12.19193528
A system that captures, organizes, and presents key historical events from 1998 by emulating the organizational strategies found in intelligent information processing systems in nature, enabling users
License: MIT
Requires Python: >=3.9

# Historical Event Organizer System

This package provides a system for capturing, organizing, and presenting key historical events from the year 1998. It emulates the organizational strategies found in natural intelligent information processing systems, allowing users to explore the significance and interconnectedness of events in an engaging and sustainable manner.

## Features

- Utilizes advanced language models for intelligent data processing
- Organizes historical events based on inspiration from nature-inspired systems
- Provides a flexible interface for input and retrieval of event data
- Facilitates exploration of event relationships and significance

## Installation

Ensure you have the necessary dependencies installed:
- Python 3.7+
- Required Python packages (specified in `requirements.txt` if available)

You can install the package by cloning the repository:
```bash
git clone https://github.com/yourusername/historical-event-organizer.git
cd historical-event-organizer
pip install -r requirements.txt
```

## Usage

Import and invoke the main function to process user input:
```python
from your_package_name import HistoryConnect

events = HistoryConnect(user_input="Describe a specific aspect of 1998 events")
print(events)
```

The system connects to a language model API, processes the input, and returns organized event data reflecting their significance and relationships.

## Functionality

- `HistoryConnect`: Main function to process user prompts
  - `user_input`: A string describing the user's query or area of interest
  - `api_key` (optional): API key for accessing the language model
  - `llm` (optional): Custom language model instance for advanced use

Returns a list of strings representing organized historical data related to the input.

## Configuration

Set your API key via environment variable `LLM7_API_KEY` or pass directly to the function:
```python
events = HistoryConnect(user_input="Key events of 1998", api_key="your-api-key")
```

## Contributing

Contributions are welcome! Please fork the repository and submit pull requests with improvements or bug fixes.

## License

This project is licensed under the MIT License.

## Notes

This system emphasizes sustainable and intelligent information processing inspired by natural systems to provide meaningful historical insights.

---

For detailed documentation or support, please contact [your contact info or repository link].
nativeUts 1.0.2
A Python package for native utilities.
License: MIT
Keywords: nativeUts

# NativeUts
#
### Installation

```sh
pip install nativeUts
```

## GitHub
https://github.com/ZdekPyPi/NativeUts


## Usage
#

# LIST - Exemplo de Uso

## `list.group`

```python
from nativeUts.list import *

a = [1, 2, 3, 4, 5, 6, 7]
print(a.group(3))
#[[1, 2, 3], [4, 5, 6], [7]]
```



# NUMBER - Exemplo de Uso

## `float.numberToBr`

```python
from nativeUts.number import *

valor = 12345.678
print(valor.numberToBr())
#12.345,68
```

# STRING - Exemplo de Uso

## `str.only_numbers`

```python
from nativeUts.string import *

print("abc123d4".only_numbers())
#1234
```

## `str.usToNumber`
```python
from nativeUts.string import *

print("12,345.67".usToNumber())
#12345.67
```

## `str.brToNumber`
```python
from nativeUts.string import *

print("R$ 12.345,67".brToNumber())
#12345.67
```

## `str.joinPath`
```python
from nativeUts.string import *

print("home/user".joinPath("docs", "file.txt"))
#home/user/docs/file.txt
```

## `str.joinUrl`
```python
from nativeUts.string import *

print("https://site.com".joinUrl("api", "v1"))
#https://site.com/api/v1
```

## `str.fileName`
```python
from nativeUts.string import *

print("/home/user/file.txt".fileName())
#file.txt
```
## `str.isEmail`
```python
from nativeUts.string import *

print("user@mail.com".isEmail())
#True
```
## `str.isLike`
```python
from nativeUts.string import *

print("AB123".isLike(r"[A-Z]{2}[0-9]{3}"))
#True
```
## `str.regx`
```python
from nativeUts.string import *

print("abc123xyz456".regx(r"\d+"))
#['123', '456']
```


Change Log
==========

1.0.0 (2025-12-02)
------------------
- First Release