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Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/index/tree/spatial/rstarvariants/strategies/bulk/AbstractBulkSplit.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/index/tree/spatial/rstarvariants/strategies/bulk/AbstractBulkSplit.java | 91 |
1 files changed, 91 insertions, 0 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/index/tree/spatial/rstarvariants/strategies/bulk/AbstractBulkSplit.java b/src/de/lmu/ifi/dbs/elki/index/tree/spatial/rstarvariants/strategies/bulk/AbstractBulkSplit.java new file mode 100644 index 00000000..4a0304f1 --- /dev/null +++ b/src/de/lmu/ifi/dbs/elki/index/tree/spatial/rstarvariants/strategies/bulk/AbstractBulkSplit.java @@ -0,0 +1,91 @@ +package de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.bulk; + +import java.util.ArrayList; +import java.util.List; + +/* + This file is part of ELKI: + Environment for Developing KDD-Applications Supported by Index-Structures + + Copyright (C) 2012 + Ludwig-Maximilians-Universität München + Lehr- und Forschungseinheit für Datenbanksysteme + ELKI Development Team + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see <http://www.gnu.org/licenses/>. + */ + +/** + * Encapsulates the required parameters for a bulk split of a spatial index. + * + * @author Elke Achtert + */ +public abstract class AbstractBulkSplit implements BulkSplit { + /** + * Constructor + */ + public AbstractBulkSplit() { + // Nothing to do + } + + /** + * Computes and returns the best split point. + * + * @param numEntries the number of entries to be split + * @param minEntries the number of minimum entries in the node to be split + * @param maxEntries number of maximum entries in the node to be split + * @return the best split point + */ + protected int chooseBulkSplitPoint(int numEntries, int minEntries, int maxEntries) { + if(numEntries < minEntries) { + throw new IllegalArgumentException("numEntries < minEntries!"); + } + + if(numEntries <= maxEntries) { + return numEntries; + } + else if(numEntries < maxEntries + minEntries) { + return (numEntries - minEntries); + } + else { + return maxEntries; + } + } + + /** + * Perform the trivial partitioning of the given list. + * + * @param objects Objects to partition + * @param minEntries Minimum number of objects per page + * @param maxEntries Maximum number of objects per page. + * @return List with partitions + */ + protected <T> List<List<T>> trivialPartition(List<T> objects, int minEntries, int maxEntries) { + // build partitions + final int size = objects.size(); + final int numberPartitions = (int) Math.ceil(((double) size) / maxEntries); + List<List<T>> partitions = new ArrayList<List<T>>(numberPartitions); + int start = 0; + for(int pnum = 0; pnum < numberPartitions; pnum++) { + int end = (int) ((pnum + 1.) * size / numberPartitions); + if(pnum == numberPartitions - 1) { + end = size; + } + assert ((end - start) >= minEntries && (end - start) <= maxEntries); + partitions.add(objects.subList(start, end)); + start = end; + } + return partitions; + } +}
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