SandboxPoolReserveScenario
Agents scenarios · Implementation: mlsysim/engine/scenario_definitions/agents.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
A warm sandbox pool under steady arrivals: active leases, a standby reserve, and memory.
Notes
Equation: Result = mlsysim.solvers.SandboxPoolReserveModel.solve with the named scenario fields; no extra fitting or postprocessing is applied.
Assumptions: The supplied inputs use the units and validity regime documented by SandboxPoolReserveModel.solve; this class binds one reproducible configuration.
Excludes: Any behavior excluded by SandboxPoolReserveModel.solve, and measurement or calibration of the supplied inputs.
References
Implementation reference: mlsysim.solvers.SandboxPoolReserveModel.solve documents the composed equation and its sources.
Examples
The named registry scenario supplies the stated inputs; this is a modeled calculation, not a new measurement.
>>> from mlsysim import Scenarios
>>> scenario = Scenarios.CodingSandboxPoolTwoPerSecond
>>> round(scenario.result.active, 6)
600.0Attributes
| Name | Description |
|---|---|
| arrival_rate | |
| dirty | |
| guest_memory | |
| hold | |
| initial_reserve | |
| restore | |
| result | Return mlsysim.solvers.SandboxPoolReserveModel.solve for this scenario; output fields retain the units and feasibility semantics specified by that solver. |
| slow_factor | |
| standby | |
| target_miss |
arrival_rate
Type: Quantity.
Declared default: required.
hold
Type: Quantity.
Declared default: required.
restore
Type: Quantity.
Declared default: required.
guest_memory
Type: Quantity.
Declared default: required.
dirty
Type: Quantity.
Declared default: required.
standby
Type: Quantity.
Declared default: required.
target_miss
Type: float.
Declared default: required.
initial_reserve
Type: int.
Declared default: 1.
slow_factor
Type: float.
Declared default: 10.
result
engine.scenario_types.SandboxPoolReserveScenario.result
Return mlsysim.solvers.SandboxPoolReserveModel.solve for this scenario; output fields retain the units and feasibility semantics specified by that solver.
Equation: mlsysim.solvers.SandboxPoolReserveModel.solve (scenario fields).