# TODO:

- fold_slice:
    - load diffractions / hdf5 files; change only param per job
    - restructure `FoldSlicePtychoEngine.__init__()` to load data but not params
        - write new `prepare_data.m`
    - start fold_slice from config.yaml instead of setup.txt
- BO train_x/y transfer between engines for single job
- multi-GPU dispatcher
    - synchronous batched BO
    - asynchronous BO
- metric() function(s) for each ptycho engine
    - FRC score
- separate `config` into `bo_config` and `ptycho_config`; let `BOEngine` have no knowledge of ptychography and vice versa.
- add GPU version of ExamplePtychoEngine
- change `PtychoEngine.metric()` to accept list of names and return dict

- rename `BOEngine` to `Sampler`
- organize results/
    - possibly: `[dataset name]/[salient config]-[date]/`


# TODAY:
- separation of available GPUs and parallel BO batches
- prepare next batch for efficient GPU use
- `GridSampler`
    - `.__init__()` should create a grid
    - `.ask()` should remove those items from the grid