gmtorch 0.0.1.dev2
Probabilistic Generative AI Using Gaussian Mixture
Requires Python: <4.0,>=3.10

[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=data:image/svg%2bxml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCI+PHBhdGggZmlsbD0iI2ZmZiIgZD0iTTE3IDE2VjdsLTYgNU0yIDlWOGwxLTFoMWw0IDMgOC04aDFsNCAyIDEgMXYxNGwtMSAxLTQgMmgtMWwtOC04LTQgM0gzbC0xLTF2LTFsMy0zIi8+PC9zdmc+)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://gitlab.kit.edu/ali.darijani/gmtorch)

# gmtorch

Probabilistic Generative AI Using Gaussian Mixture

## Installing

To install this package, run:

```sh
pip install gmtorch
```

## Using

Example usage:

```python
import gmtorch

...
```


## Contributing

<details>
<summary>Prerequisites</summary>

1. [Generate an SSH key](https://docs.gitlab.com/ee/user/ssh.html#generate-an-ssh-key-pair) and [add the SSH key to your GitLab account](https://docs.gitlab.com/ee/user/ssh.html#add-an-ssh-key-to-your-gitlab-account).
1. Configure SSH to automatically load your SSH keys:

    ```sh
    cat << EOF >> ~/.ssh/config
    
    Host *
      AddKeysToAgent yes
      IgnoreUnknown UseKeychain
      UseKeychain yes
      ForwardAgent yes
    EOF
    ```

1. [Install Docker Desktop](https://www.docker.com/get-started).
1. [Install VS Code](https://code.visualstudio.com/) and [VS Code's Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers). Alternatively, install [PyCharm](https://www.jetbrains.com/pycharm/download/).
1. _Optional:_ install a [Nerd Font](https://www.nerdfonts.com/font-downloads) such as [FiraCode Nerd Font](https://github.com/ryanoasis/nerd-fonts/tree/master/patched-fonts/FiraCode) and [configure VS Code](https://github.com/tonsky/FiraCode/wiki/VS-Code-Instructions) or [PyCharm](https://github.com/tonsky/FiraCode/wiki/Intellij-products-instructions) to use it.

</details>

<details open>
<summary>Development environments</summary>

The following development environments are supported (Note: with non-Nvidia GPUs use the 2. method):


1. ⭐️ _VS Code Dev Container (with container volume)_: click on [Open in Dev Containers](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://gitlab.kit.edu/ali.darijani/gmtorch) to clone this repository in a container volume and create a Dev Container with VS Code.
1. ⭐️ _uv_: clone this repository and run the following from root of the repository:

    On Linux or macOS:
    ```sh
    # Download and install uv
    curl -LsSf https://astral.sh/uv/install.sh | sh

    # Create and install a virtual environment
    uv sync --python 3.12 --all-extras

    # Activate the virtual environment
    source .venv/bin/activate 

    # Install the pre-commit hooks
    pre-commit install --install-hooks
    ```

    On Windows (PowerShell):
    ```sh
    # Download and install uv
    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

    # Create and install a virtual environment
    uv sync --python 3.12 --all-extras

    # Activate the virtual environment
    .venv\Scripts\activate

    # Install the pre-commit hooks
    pre-commit install --install-hooks
    ```
1. _VS Code Dev Container_: clone this repository, open it with VS Code, and run <kbd>Ctrl/⌘</kbd> + <kbd>⇧</kbd> + <kbd>P</kbd> → _Dev Containers: Reopen in Container_.
1. _PyCharm Dev Container_: clone this repository, open it with PyCharm, [create a Dev Container with Mount Sources](https://www.jetbrains.com/help/pycharm/start-dev-container-inside-ide.html), and [configure an existing Python interpreter](https://www.jetbrains.com/help/pycharm/configuring-python-interpreter.html#widget) at `/opt/venv/bin/python`.

</details>

<details open>
<summary>Developing</summary>

- This project follows the [Conventional Commits](https://www.conventionalcommits.org/) standard to automate [Semantic Versioning](https://semver.org/) and [Keep A Changelog](https://keepachangelog.com/) with [Commitizen](https://github.com/commitizen-tools/commitizen).
- ❗❗❗In order to uphold coorect `CHANGELOG.md`: For feature branches, in merge requests use `feat: ...` title. For bug fix branches, use `fix: ...` title. See [Conventional Commits](https://www.conventionalcommits.org/) for more details.
- Run `poe` from within the development environment to print a list of [Poe the Poet](https://github.com/nat-n/poethepoet) tasks available to run on this project.
- ❗❗❗`poe lint` runs linting checks which would also run in the CI/CD pipeline, so it's recommended to run this before pushing changes (automatic with dev container or previously set pre-commit hooks (2. of `Development environments`)).
- Run `uv add {package}` from within the development environment to install a run time dependency and add it to `pyproject.toml` and `uv.lock`. Add `--dev` to install a development dependency.
- Run `uv sync --upgrade` from within the development environment to upgrade all dependencies to the latest versions allowed by `pyproject.toml`. Add `--only-dev` to upgrade the development dependencies only.
- Run `cz bump` to bump the package's version, update the `CHANGELOG.md`, and create a git tag. Then push the changes and the git tag with `git push origin branch-name --tags`.
- Workflow: create a feature branch from `develop` -> create a merge request to `develop` -> on major releases, create a merge request from `develop` to `main`.

</details>

<details open>
<summary>Versioning</summary>

- Stable releases on `main` branch use [Semantic Versioning](https://semver.org/).
- Development releases on `develop` branch use the current version with .devN suffix, where N is the number of published development releases so far for the current version.
- Docker images use either `develop` or `latest` tags for publishing from `develop` or `main` branches, respectively.
</details>