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package hu.bme.mit.inf.dslreasoner.viatrasolver.logic2viatra.cardinality
import com.google.common.collect.ImmutableMap
import hu.bme.mit.inf.dslreasoner.ilp.cbc.CbcResult
import hu.bme.mit.inf.dslreasoner.ilp.cbc.CbcSolver
import java.util.List
import java.util.Map
import org.eclipse.xtend.lib.annotations.FinalFieldsConstructor
@FinalFieldsConstructor
class CbcPolyhedronSolver implements PolyhedronSolver {
val double timeoutSeconds
val boolean silent
new() {
this(10, true)
}
override createSaturationOperator(Polyhedron polyhedron) {
new CbcSaturationOperator(polyhedron, timeoutSeconds, silent)
}
}
class CbcSaturationOperator extends AbstractPolyhedronSaturationOperator {
val double timeoutSeconds
val boolean silent
val double[] columnLowerBounds
val double[] columnUpperBounds
val double[] objective
val Map<Dimension, Integer> dimensionsToIndicesMap
new(Polyhedron polyhedron, double timeoutSeconds, boolean silent) {
super(polyhedron)
this.timeoutSeconds = timeoutSeconds
this.silent = silent
val numDimensions = polyhedron.dimensions.size
columnLowerBounds = newDoubleArrayOfSize(numDimensions)
columnUpperBounds = newDoubleArrayOfSize(numDimensions)
objective = newDoubleArrayOfSize(numDimensions)
dimensionsToIndicesMap = ImmutableMap.copyOf(polyhedron.dimensions.indexed.toMap([value], [key]))
}
override doSaturate() {
val numDimensions = polyhedron.dimensions.size
for (var int j = 0; j < numDimensions; j++) {
val dimension = polyhedron.dimensions.get(j)
columnLowerBounds.set(j, dimension.lowerBound.toDouble(Double.NEGATIVE_INFINITY))
columnUpperBounds.set(j, dimension.upperBound.toDouble(Double.POSITIVE_INFINITY))
}
val constraints = nonTrivialConstraints
val numConstraints = constraints.size
val rowStarts = newIntArrayOfSize(numConstraints + 1)
val rowLowerBounds = newDoubleArrayOfSize(numConstraints)
val rowUpperBounds = newDoubleArrayOfSize(numConstraints)
val numEntries = constraints.map[coefficients.size].reduce[a, b|a + b] ?: 0
rowStarts.set(numConstraints, numEntries)
val columnIndices = newIntArrayOfSize(numEntries)
val entries = newDoubleArrayOfSize(numEntries)
var int index = 0
for (var int i = 0; i < numConstraints; i++) {
rowStarts.set(i, index)
val constraint = constraints.get(i)
rowLowerBounds.set(i, constraint.lowerBound.toDouble(Double.NEGATIVE_INFINITY))
rowUpperBounds.set(i, constraint.upperBound.toDouble(Double.POSITIVE_INFINITY))
if (!dimensionsToIndicesMap.keySet.containsAll(constraint.coefficients.keySet)) {
throw new IllegalArgumentException("Constrains has unknown dimensions")
}
for (var int j = 0; j < numDimensions; j++) {
val dimension = polyhedron.dimensions.get(j)
val coefficient = constraint.coefficients.get(dimension)
if (coefficient !== null && coefficient != 0) {
columnIndices.set(index, j)
entries.set(index, coefficient)
index++
}
}
}
if (index != numEntries) {
throw new AssertionError("Last entry does not equal the number of entries in the constraint matrix")
}
for (expressionToSaturate : polyhedron.expressionsToSaturate) {
for (var int j = 0; j < numDimensions; j++) {
objective.set(j, 0)
}
switch (expressionToSaturate) {
Dimension: {
val j = getIndex(expressionToSaturate)
objective.set(j, 1)
}
LinearConstraint: {
for (pair : expressionToSaturate.coefficients.entrySet) {
val j = getIndex(pair.key)
objective.set(j, pair.value)
}
}
default:
throw new IllegalArgumentException("Unknown expression: " + expressionToSaturate)
}
val minimizationResult = CbcSolver.solve(columnLowerBounds, columnUpperBounds, rowStarts, columnIndices,
entries, rowLowerBounds, rowUpperBounds, objective, timeoutSeconds, silent)
switch (minimizationResult) {
CbcResult.SolutionBounded: {
val value = Math.floor(minimizationResult.value)
expressionToSaturate.lowerBound = value as int
setBound(expressionToSaturate, constraints, value, columnLowerBounds, rowLowerBounds)
}
case CbcResult.SOLUTION_UNBOUNDED: {
expressionToSaturate.lowerBound = null
setBound(expressionToSaturate, constraints, Double.NEGATIVE_INFINITY, columnLowerBounds,
rowLowerBounds)
}
case CbcResult.UNSAT:
return PolyhedronSaturationResult.EMPTY
case CbcResult.ABANDONED,
case CbcResult.TIMEOUT:
return PolyhedronSaturationResult.UNKNOWN
default:
throw new RuntimeException("Unknown CbcResult: " + minimizationResult)
}
for (var int j = 0; j < numDimensions; j++) {
val objectiveCoefficient = objective.get(j)
objective.set(j, -objectiveCoefficient)
}
val maximizationResult = CbcSolver.solve(columnLowerBounds, columnUpperBounds, rowStarts, columnIndices,
entries, rowLowerBounds, rowUpperBounds, objective, timeoutSeconds, silent)
switch (maximizationResult) {
CbcResult.SolutionBounded: {
val value = Math.ceil(-maximizationResult.value)
expressionToSaturate.upperBound = value as int
setBound(expressionToSaturate, constraints, value, columnUpperBounds, rowUpperBounds)
}
case CbcResult.SOLUTION_UNBOUNDED: {
expressionToSaturate.upperBound = null
setBound(expressionToSaturate, constraints, Double.POSITIVE_INFINITY, columnUpperBounds,
rowUpperBounds)
}
case CbcResult.UNSAT:
throw new RuntimeException("Minimization was SAT, but maximization is UNSAT")
case CbcResult.ABANDONED,
case CbcResult.TIMEOUT:
return PolyhedronSaturationResult.UNKNOWN
default:
throw new RuntimeException("Unknown CbcResult: " + maximizationResult)
}
}
PolyhedronSaturationResult.SATURATED
}
private def toDouble(Integer nullableInt, double defaultValue) {
if (nullableInt === null) {
defaultValue
} else {
nullableInt.doubleValue
}
}
private def int getIndex(Dimension dimension) {
val index = dimensionsToIndicesMap.get(dimension)
if (index === null) {
throw new IllegalArgumentException("Unknown dimension: " + dimension)
}
index
}
private def void setBound(LinearBoundedExpression expression, List<LinearConstraint> constraints, double bound,
double[] columnBounds, double[] rowBounds) {
switch (expression) {
Dimension: {
val j = getIndex(expression)
columnBounds.set(j, bound)
}
LinearConstraint: {
val i = constraints.indexOf(expression)
if (i >= 0) {
rowBounds.set(i, bound)
}
}
}
}
}
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