## Installation
- Install syntheseus first (instructions [here](https://github.com/microsoft/syntheseus)).
    - if you're on cpu, use the env file ´syntheseus_full_cpu.yml´ and ´syntheseus_full.yml´ if you're on cuda.
- install the multiguide package: 'pip install -e .'
- install hydra-core (maybe wandb too)

## Run experiments
- To train predictors:
- To run toy experiment:
- To run single-step evaluation:
    - `python3 scripts/evaluate_single_step_50k.py` 
    - `python3 slurm/slurm_evaluate_single_step_50k.py --platform [platform]`
- To run multi-step evaluation:
    - run search
    - run evaluation
        - `python3 scripts/evaluate_multistep.py`
        - `python3 slurm/slurm_evaluate_multistep.py --platform lumi`
    - report results

## Data
- Data for the case studies can be obtained from the Electronic Supplementary Information (ESI) of the Route Similarity paper: https://pubs.rsc.org/en/content/articlelanding/2025/dd/d4dd00292j

