Soft Wrapper

Overview

Soft Wrapper is a lightweight Python-based abstraction layer designed to simplify operations on tensors and structured data. It provides a clean interface for handling data transformations, making it easier to build scalable and modular applications.

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Features

• Simple and intuitive wrapper interface
• Tensor manipulation utilities
• Modular and extensible design
• Clean separation of logic for maintainability

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Project Structure

soft-wrapper/
│── wrapper.py      # Core wrapper logic
│── tensor.py       # Tensor-related operations
│── README.md       # Project documentation

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Installation

Clone the repository:

git clone https://github.com/builders-lab/soft-wrapper.git
cd soft-wrapper

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Usage

Example usage of the wrapper:

from wrapper import Wrapper

w = Wrapper()
result = w.your_function()
print(result)

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How It Works

• wrapper.py provides the main interface
• tensor.py handles low-level tensor operations
• The wrapper connects high-level logic with underlying data processing

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Contributing

1. Create a new branch
2. Make your changes
3. Commit your work
4. Push to your branch
5. Open a Pull Request

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Notes

• Avoid making direct changes to the main branch
• Always work on feature branches
• Resolve conflicts before merging

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License

This project is intended for educational and collaborative purposes.