invariants.core.computation

BulkLoad

object BulkLoad extends AnyRef

A bulk load is to use when there are a set of invariants that all listen statically to the same array of variables but whose dynamic dependencies are really sparse in case such dependencies are bulk loaded, we create an instance of Bulk between the variables and invariants such that the bulk statically listens to all variables and the invariants statically listen to the bulk. In this setting, the number of dependencies is O(N) instead of O(N*N) Also, if you use this, please ensure that the bulk loaded invariants will not waste their time iterating on the bulked variables eg for finding the min and max value of these variables. If you need to compute some value over the bulked variables, you can use the method performBulkComputation in Bulk for good efficiency.

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  6. def apply [VarType <: Variable, BulkedComputationResult] (invariants: Iterable[Bulked[VarType, BulkedComputationResult]], Variables: Array[VarType]): Unit

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