[runtime] provide easy to use top-level API for experiments #64

	name: Builds

	permissions:
	contents: read
	actions: write

	on:
	push:
	branches: [ "main" ]
	pull_request:

	jobs:
	build:
	runs-on: ubuntu-22.04

	steps:
	- uses: actions/checkout@v4
	with:
	submodules: recursive

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: 3.11

	- name: Install minimum required cmake and ninja
	uses: lukka/get-cmake@latest
	with:
	cmakeVersion: "~3.21.0"

	- name: Install CCache
	uses: Chocobo1/setup-ccache-action@v1
	with:
	ccache_options: \|
	max_size=400M
	compiler_check=none

	- name: Install Native Compilers
	run: \|
	sudo apt-get update
	sudo apt-get install lld clang cargo

	- name: Install Quidditch Toolchain
	run: \|
	mkdir ./toolchain
	docker run --rm ghcr.io/opencompl/quidditch/toolchain:main tar -cC /opt/quidditch-toolchain . \
	\| tar -xC ./toolchain

	- name: Configure Megabuild
	run: \|
	cmake -G Ninja -B ${{github.workspace}}/build \
	-DCMAKE_BUILD_TYPE=Release \
	-DCMAKE_C_COMPILER=clang \
	-DCMAKE_CXX_COMPILER=clang++ \
	-DCMAKE_C_COMPILER_LAUNCHER=ccache \
	-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
	-DQUIDDITCH_TOOLCHAIN_FILE=${{github.workspace}}/toolchain/ToolchainFile.cmake \
	-DOVERRIDE_VENV=ON \
	-S ${{github.workspace}}

	- name: Build and Test
	run: cmake --build ${{github.workspace}}/build --target test

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