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A

AbstractDiscriminationTree<DSCR,I,O,D,N extends AbstractDTNode<DSCR,O,D,N>> - Class in de.learnlib.datastructure.discriminationtree.model

An abstract super class for aggregating some information/functionality for discrimination trees.

AbstractDiscriminationTree(N, MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

AbstractDTNode<DSCR,O,D,N extends AbstractDTNode<DSCR,O,D,N>> - Class in de.learnlib.datastructure.discriminationtree.model

An abstract super class (DAO) for aggregating some information stored in a node of a discrimination tree.

AbstractDTNode(D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

AbstractDTNode(N, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

AbstractDTNode.SplitResult - Class in de.learnlib.datastructure.discriminationtree.model

AbstractTemporaryIntrusiveDTNode<DSCR,O,D,T extends IntrusiveList<?>,N extends AbstractTemporaryIntrusiveDTNode<DSCR,O,D,T,N>> - Class in de.learnlib.datastructure.discriminationtree.model

An extension of the AbstractDTNode that adds the concept of temporary splitters as well as linking discrimination tree nodes outside their regular tree structure.

AbstractTemporaryIntrusiveDTNode(N, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

AbstractWordBasedDiscriminationTree<I,O,D> - Class in de.learnlib.datastructure.discriminationtree.model

Convenient class for word-based discrimination trees that already binds certain generics.

AbstractWordBasedDiscriminationTree(AbstractWordBasedDTNode<I, O, D>, MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDiscriminationTree

AbstractWordBasedDTNode<I,O,D> - Class in de.learnlib.datastructure.discriminationtree.model

Convenient class for word-based discrimination tree nodes that already binds certain generics.

AbstractWordBasedDTNode(D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDTNode

AbstractWordBasedDTNode(AbstractWordBasedDTNode<I, O, D>, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDTNode

addChild(O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

anyChild() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

B

BinaryDTNode<I,D> - Class in de.learnlib.datastructure.discriminationtree

Binary discrimination tree node specialization.

BinaryDTNode(D) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTNode

BinaryDTNode(BinaryDTNode<I, D>, Boolean, D) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTNode

BinaryDTree<I,D> - Class in de.learnlib.datastructure.discriminationtree

Binary discrimination tree specialization.

BinaryDTree(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTree

BinaryDTree(MembershipOracle<I, Boolean>, boolean) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTree

BinaryDTree(D, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTree

BooleanMap<V> - Class in de.learnlib.datastructure.discriminationtree.model

Primitive implementation for boolean maps.

BooleanMap() - Constructor for class de.learnlib.datastructure.discriminationtree.model.BooleanMap

BooleanMap(V, V) - Constructor for class de.learnlib.datastructure.discriminationtree.model.BooleanMap

buildQuery(AbstractWordBasedDTNode<I, O, D>, Word<I>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDiscriminationTree

buildQuery(N, Word<I>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

C

child(O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

child(O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

children - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

clear() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

containsKey(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

containsValue(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

createChild(Boolean, D) - Method in class de.learnlib.datastructure.discriminationtree.BinaryDTNode

createChild(O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

createChild(O, D) - Method in class de.learnlib.datastructure.discriminationtree.MultiDTNode

createChildMap() - Method in class de.learnlib.datastructure.discriminationtree.BinaryDTNode

createChildMap() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

createChildMap() - Method in class de.learnlib.datastructure.discriminationtree.MultiDTNode

D

data - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

de.learnlib.datastructure.discriminationtree - package de.learnlib.datastructure.discriminationtree

de.learnlib.datastructure.discriminationtree.iterators - package de.learnlib.datastructure.discriminationtree.iterators

de.learnlib.datastructure.discriminationtree.model - package de.learnlib.datastructure.discriminationtree.model

depth - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

DiscriminationTreeIterators - Class in de.learnlib.datastructure.discriminationtree.iterators

Factory methods for several kinds of discrimination tree node iterators.

discriminator - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

E

entrySet() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

G

get(boolean) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

get(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

getChild(O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

getChildEntries() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

getChildren() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

getData() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

getDepth() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

getDiscriminator() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

getIncoming(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData

Retrieves the list of incoming transitions for the respective label.

getLabels() - Method in class de.learnlib.datastructure.discriminationtree.SplitData

getNextElement() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

getNodes() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

getOutgoingEdges(N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

getParent() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

getParentOutcome() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

getPrevElement() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

getRoot() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

getSplitData() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

getStateLabel() - Method in class de.learnlib.datastructure.discriminationtree.SplitData

Retrieves the state label associated with this split data.

getTarget(Map.Entry<O, N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

getVisualizationHelper() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

H

hasStateLabel() - Method in class de.learnlib.datastructure.discriminationtree.SplitData

Checks whether there is a state label associated with this node, regardless of its value.

I

innerNodeIterator(N) - Static method in class de.learnlib.datastructure.discriminationtree.iterators.DiscriminationTreeIterators

Iterator that traverses all inner nodes (no leaves) of a subtree of a given discrimination tree node.

isBlockRoot() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

isEmpty() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

isInner() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

isLeaf() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

isMarked(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData

Checks whether the corresponding node is marked with the given label.

isRoot() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

isTemp() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

K

keySet() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

L

lcaInfo(N, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

Fetches for two nodes information about their lowest common ancestor in this discrimination tree.

LCAInfo<O,N> - Class in de.learnlib.datastructure.discriminationtree.model

DAO for aggregating information about the least common ancestor of two subtrees in a discrimination tree.

LCAInfo(N, O, O) - Constructor for class de.learnlib.datastructure.discriminationtree.model.LCAInfo

leafIterator(N) - Static method in class de.learnlib.datastructure.discriminationtree.iterators.DiscriminationTreeIterators

Iterator that traverses all leaves (no inner nodes) of a subtree of a given discrimination tree node.

leastCommonAncestor - Variable in class de.learnlib.datastructure.discriminationtree.model.LCAInfo

leastCommonAncestor(N, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

M

mark(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData

Mark this node with the given label.

MultiDTNode<I,O,D> - Class in de.learnlib.datastructure.discriminationtree

Generic n-ary discrimination tree node specialization.

MultiDTNode(D) - Constructor for class de.learnlib.datastructure.discriminationtree.MultiDTNode

MultiDTNode(MultiDTNode<I, O, D>, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.MultiDTNode

MultiDTree<I,O,D> - Class in de.learnlib.datastructure.discriminationtree

Generic n-ary discrimination tree specialization.

MultiDTree(MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.MultiDTree

MultiDTree(D, MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.MultiDTree

N

nextElement - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

nodeIterator(N) - Static method in class de.learnlib.datastructure.discriminationtree.iterators.DiscriminationTreeIterators

Iterator that traverses all nodes of a subtree of a given discrimination tree node.

nodeNew - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode.SplitResult

nodeOld - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode.SplitResult

O

oracle - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

P

parent - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

parentOutcome - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

prevElement - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

put(boolean, V) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

put(Boolean, V) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

putAll(Map<? extends Boolean, ? extends V>) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

R

remove(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

removeFromBlockList() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

replaceChildren(Map<O, N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

S

setChild(O, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

setData(D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

setDiscriminator(DSCR) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

setNextElement(N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

setOracle(MembershipOracle<I, O>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

setPrevElement(IntrusiveListElem<N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

setSplitData(SplitData<O, T>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

setStateLabel(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData

Sets the state label associated with this split data.

setTemp(boolean) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

sift(List<N>, List<Word<I>>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

sift(List<N>, List<Word<I>>, Predicate<N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

sift(Word<I>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

sift(N, Word<I>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

sift(N, Word<I>, Predicate<N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

size() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

split(DSCR, O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

split(DSCR, O, O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

split(DSCR, O, O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

splitData - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode

SplitData<O,T extends IntrusiveList<?>> - Class in de.learnlib.datastructure.discriminationtree

Data associated with a discrimination tree node while an enclosing subtree is being split.

SplitData(Supplier<T>) - Constructor for class de.learnlib.datastructure.discriminationtree.SplitData

SplitResult(N, N) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode.SplitResult

subtree1Label - Variable in class de.learnlib.datastructure.discriminationtree.model.LCAInfo

subtree2Label - Variable in class de.learnlib.datastructure.discriminationtree.model.LCAInfo

subtreeLabel(N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode

T

transformingLeafIterator(N, Function<? super N, D>) - Static method in class de.learnlib.datastructure.discriminationtree.iterators.DiscriminationTreeIterators

Iterator that traverses all leaves (no inner nodes) of a subtree of a given discrimination tree node.

V

values() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap

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