Bend DevContainer Project

This project provides a development environment for the Bend programming language using Visual Studio Code and Docker. The environment is configured to support GPU acceleration with NVIDIA CUDA.

Getting Started

Prerequisites

Docker
Visual Studio Code
Remote - Containers extension for Visual Studio Code

Setup

Clone the repository:

git clone <repository-url>
cd <repository-directory>

Open the project in Visual Studio Code:
```
code .
```
Reopen in Container:
- Press F1 and select Remote-Containers: Reopen in Container.

Features

CUDA Support: The development container is based on nvidia/cuda:12.4.1-devel-ubuntu20.04 and is configured to use GPU acceleration.
Bend Language Support: The container installs the Bend language and the necessary extensions for Visual Studio Code.

Customizations

The .devcontainer/devcontainer.json file includes customizations for Visual Studio Code:

Extensions: The RohanVashisht.bend extension is installed for Bend language support.
Remote User: The container runs as the vscode user.

Example Bend Scripts

The bend-guide directory contains example Bend scripts to help you get started:

01_hello_world.bend: A simple "Hello, World!" program.
02_basic_functions_and_datatypes.bend: Basic functions and data types in Bend.
02a_shape.bend: Custom data types and pattern matching.
02b_list.bend: Working with lists.
02c_lambda.bend: Inline functions (lambdas).
03_recursive_datatypes.bend: Recursive data types.
03a_fold_consuming.bend: Folding data structures.
03b_bend_generating.bend: Generating data structures.
04_parallel_sum_using_bend.bend: Parallel sum using Bend.

Running Bend Scripts

To run a Bend script, use the following command inside the container:

bend <script-name>.bend

For example:

bend bend-guide/01_hello_world.bend

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

SootyOwl/bend-devcontainer