Hyper Minimize

Hyper minimization wrapper for the Rush Python client.

Run Submission

rush.hyper.hyper_minimize_sumo(jobs, config=None, run_spec=RunSpec(target='Bullet'), run_opts=RunOpts())

Submit Hyper minimization for one or more structures.

Parameters:

• jobs (list[MinimizeInput])

• config (HyperMinimizeConfig | None)

• run_spec (RunSpec)

• run_opts (RunOpts)

Return type:

Run[TRCBatchResultRef]

Input Types

class rush.hyper.HyperMinimizeConfig(max_inputs=None, steps=None, gtol=None, timeout_seconds=None)

Config for hyper_minimize_sumo().

Parameters:

• max_inputs (int | None)

• steps (int | None)

• gtol (float | None)

• timeout_seconds (int | None)

gtol: float | None = None

max_inputs: int | None = None

steps: int | None = None

timeout_seconds: int | None = None

class rush.hyper.MinimizeInput(structure, topology)

Input item for hyper_minimize_sumo().

Parameters:

• structure (TRC | Path | str | RushObject | dict[str, Any])

• topology (Path | str | RushObject | dict[str, Any])

structure: TRC | Path | str | RushObject | dict[str, Any]

topology: Path | str | RushObject | dict[str, Any]

Result Types

Minimization returns rush.hyper.TRCBatchResultRef with per-item results that can be fetched as TRC objects or ItemError values.