SimulationRunCacheIfc

A simulation run cache should be designed to efficiently look up a simulation run based on a given set of input settings.

Inheritors

Properties

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abstract val capacity: Int

The maximum permitted size of the cache

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A rule to govern which solution should be evicted when the cache capacity is met.

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abstract val keys: Set<RequestData>
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abstract val size: Int
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Functions

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Computes the box plot summaries for the data within the map

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open fun clear()

Removes all items from the cache

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Computes the confidence intervals for the data in the map

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abstract fun containsKey(key: RequestData): Boolean
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abstract fun containsValue(value: SimulationRun): Boolean
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abstract operator fun get(key: RequestData): SimulationRun?
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abstract fun isEmpty(): Boolean
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The map of arrays is considered rectangular if all arrays in the map have the same number of elements (same size).

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abstract fun put(requestData: RequestData, simulationRun: SimulationRun): SimulationRun?

Places the simulation run into the cache. It is important that implementors ensure that the input names and response names associated with the request are consistent with the input names and response names of the simulation run.

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open fun putAll(from: Map<out RequestData, SimulationRun>)

Places all input-solution pairs into the cache

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abstract fun remove(requestData: RequestData): SimulationRun?

Looks up and removes the simulation run associated with the supplied request. Null is returned if there is no associated simulation run. It is important that implementors handle the reduced size relative to the cache.

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Retrieves the simulation runs associated with the requests

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open operator fun set(requestData: RequestData, simulationRun: SimulationRun)

Allows use of bracket operator for setting values

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Retrieves the simulation runs in the cache as a list of simulation runs

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fun <K, V : Comparable<V>> Map<K, V>.sortMapByValue(): Map<K, V>
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Computes the statistical summaries for the data within the map

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Converts the data map to a 2-D array. The values of the map are extracted

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fun Map<String, DoubleArray>.toDataFrame(): AnyFrame

Converts the data stored in each array to columns within a DataFrame, with the column names as the key from the map and the columns holding the data. Each array must have the same size.

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abstract fun toJson(): String
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Converts the inner DoubleArray to List

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fun Map<String, DoubleArray>.toObservationData(tableName: String = "tblObservations", context: String? = null, subject: String? = null): List<ObservationDataDb>

Converts the data map to a long format view of the observations.