PyChrono + Ray Integration for Distributed Simulation Workflows
There are two installation options depending on whether you already have PyChrono installed.
Use this if PyChrono is already installed in your environment.
pip install -e .This will install ChronoRay along with its remaining dependencies (ray, numpy).
Use this if you are starting fresh. This creates a full conda environment with PyChrono and all dependencies.
1. Create the environment (miniconda or equivalent required):
conda env create --file environment.yml -n chrono-ray2. Activate it:
conda activate chrono-ray3. Install ChronoRay:
pip install -e .