###################### Set up a virtual env ###################### It is recommended to run your Python setup within a virtual environment. For framework development, uv creates and manages the virtual environment from the project lockfile. Tools such as pyenv or Anaconda can still provide the Python interpreter, but they do not need to create a separate project environment. **************** Python Version **************** Flower requires at least `Python 3.11 `_. .. note:: Due to a known incompatibility with `ray `_, we currently recommend utilizing at most `Python 3.11 `_ for running Flower simulations. ******************** Virtualenv with uv ******************** From the repository root, run the bootstrap script: .. code-block:: shell ./dev/bootstrap.sh This creates ``framework/.venv`` with the repository's default Python version and installs all framework dependencies from ``framework/uv.lock``. To use a specific Python version, pass it as the first argument: .. code-block:: shell ./dev/bootstrap.sh 3.11.14 Activate the created virtual environment with: .. code-block:: shell source framework/.venv/bin/activate You can also run uv directly from the ``framework`` directory: .. code-block:: shell cd framework uv sync --python=3.11.14 --locked --all-extras --all-groups **************************** Python Versions with Pyenv **************************** If you use `pyenv `_, install the Python version you want uv to use: .. code-block:: shell pyenv install 3.11.14 Then pass that version to the bootstrap script: .. code-block:: shell ./dev/bootstrap.sh 3.11.14 ******************************* Python Versions with Anaconda ******************************* If you prefer conda, create and activate a Python environment, then let uv create the framework project environment. See the `conda installation guide `_ for installation instructions. .. code-block:: shell conda create -n flower-3.11.14 python=3.11.14 conda activate flower-3.11.14 ./dev/bootstrap.sh 3.11.14