SequencePackingScenario
Training scenarios · Implementation: mlsysim/engine/scenario_definitions/training.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
Stored example lengths against capacity-token buffers.
Notes
Equation: Composition of mlsysim.solvers.SequencePackingModel.solve.
Assumptions: Inputs are routed to SequencePackingModel.solve; their documented regimes and units apply to this configuration.
Excludes: Additional mechanisms beyond the linked solver contracts; the scenario does not collect measurements.
References
Derivation: This scenario binds named inputs to SequencePackingModel. The linked solver contracts own equations, sources, and result-unit definitions.
Examples
Evaluate the named configuration and display a modeled result.
>>> from mlsysim import Scenarios
>>> case = Scenarios.EightExamplePackingBatch
>>> value = case.result.packed_occupancy
>>> print(f"{value:.3g}")
0.766Attributes
| Name | Description |
|---|---|
| capacity | |
| lengths | |
| result | Evaluate the stated sequence packing case through SequencePackingModel.solve; returns its typed result and quantity units. |
lengths
Type: List[int].
Declared default: required.
capacity
Type: int.
Declared default: required.
result
engine.scenario_types.SequencePackingScenario.result
Evaluate the stated sequence packing case through SequencePackingModel.solve; returns its typed result and quantity units.
Calculation: mlsysim.solvers.SequencePackingModel.solve.