Command line

Installing the Python package also installs modewise; cargo install --path drivers/cli builds it from source. It runs the same pipelines and dataset specs as Python, which suits shell scripts and HPC clusters.

modewise inspect dataset.toml --load        # what the dataset spec finds, and the first recording
modewise run pipeline.toml --dataset dataset.toml --out results/
modewise run pipeline.toml --dataset dataset.toml --out results/ --shard 3/8   # every 8th recording from #3
modewise export results/ --to export/       # one HDF5 file per recording, for MATLAB
modewise ops                                # operations with their ports
modewise ops --json                         # the same with parameter schemas, for tools and agents

Exit codes: 0 when every recording succeeded, 2 when some failed (the summary is in results/runs/<pipeline>/summaries/), and 1 for invalid input.

Slurm: run one shard per array task, all writing to the same results folder. Steps already in the folder are reused, so a rerun after a failure only computes what is missing.

#SBATCH --array=1-8
modewise run pipeline.toml --dataset dataset.toml --out results/ --shard ${SLURM_ARRAY_TASK_ID}/8

Pipelines and datasets describe the two files, and the operation reference every step you can use.