A B C D E G H I K L M N O P R S T V

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 several 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 several information stored in a node of an 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 of 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(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(N, Word<I>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree

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

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

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

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

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

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

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(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

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

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

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

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

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

A B C D E G H I K L M N O P R S T V