Mercurial > dive4elements > river
view flys-artifacts/src/main/java/de/intevation/flys/artifacts/model/Parameters.java @ 4460:587b0e82924a
Whitespace cosmetic.
author | Felix Wolfsteller <felix.wolfsteller@intevation.de> |
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date | Fri, 09 Nov 2012 10:23:20 +0100 |
parents | 1df6984628c3 |
children | bcf25d8c183e |
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package de.intevation.flys.artifacts.model; import de.intevation.flys.artifacts.math.Linear; import gnu.trove.TDoubleArrayList; import java.io.Serializable; import org.apache.log4j.Logger; public class Parameters implements Serializable { private static Logger log = Logger.getLogger(Parameters.class); public interface Visitor { void visit(double [] row); } // interface Visitor public static final double EPSILON = 1e-4; protected String [] columnNames; protected TDoubleArrayList [] columns; public Parameters() { } public Parameters(String [] columnNames) { if (columnNames == null || columnNames.length < 1) { throw new IllegalArgumentException("columnNames too short."); } this.columnNames = columnNames; columns = new TDoubleArrayList[columnNames.length]; for (int i = 0; i < columns.length; ++i) { columns[i] = new TDoubleArrayList(); } } public int columnIndex(String name) { for (int i = 0; i < columnNames.length; ++i) { if (columnNames[i].equals(name)) { return i; } } if (log.isDebugEnabled()) { log.debug("columnIndex: " + name + " not found in columnNames"); } return -1; } public int newRow() { int N = columns[0].size(); for (int i = 0; i < columns.length; ++i) { columns[i].add(Double.NaN); } return N; } public double get(int row, int index) { return columns[index].getQuick(row); } public double get(int i, String columnName) { int index = columnIndex(columnName); return index >= 0 ? columns[index].getQuick(i) : Double.NaN; } public void set(int row, int index, double value) { columns[index].setQuick(row, value); } public void set(int i, String columnName, double value) { int idx = columnIndex(columnName); if (idx >= 0) { columns[idx].setQuick(i, value); } } public boolean set(int row, int [] indices, double [] values) { boolean invalid = false; for (int i = 0; i < indices.length; ++i) { double v = values[i]; if (Double.isNaN(v)) { invalid = true; } else { columns[indices[i]].setQuick(row, v); } } return invalid; } public boolean set(int row, String [] names, double [] values) { boolean success = true; for (int i = 0; i < names.length; ++i) { int idx = columnIndex(names[i]); if (idx >= 0) { columns[idx].setQuick(row, values[i]); } else { success = false; } } return success; } public int size() { return columns[0].size(); } public int getNumberColumns() { return columnNames.length; } public String [] getColumnNames() { return columnNames; } public void removeNaNs() { W.removeNaNs(columns); } public int [] columnIndices(String [] columns) { int [] indices = new int[columns.length]; for (int i = 0; i < columns.length; ++i) { indices[i] = columnIndex(columns[i]); } return indices; } public double getValue(int row, String column) { int idx = columnIndex(column); return idx >= 0 ? columns[idx].getQuick(row) : Double.NaN; } public double [] get(int row, String [] columns) { return get(row, columns, new double[columns.length]); } public double [] get(int row, String [] columns, double [] values) { for (int i = 0; i < columns.length; ++i) { int idx = columnIndex(columns[i]); values[i] = idx < 0 ? Double.NaN : this.columns[idx].getQuick(row); } return values; } public void get(int row, int [] columnIndices, double [] values) { for (int i = 0; i < columnIndices.length; ++i) { int index = columnIndices[i]; values[i] = index >= 0 && index < columns.length ? columns[index].getQuick(row) : Double.NaN; } } public int binarySearch(String columnName, double value) { return binarySearch(columnIndex(columnName), value); } /** * Performes a binary search in the column identified by its * index. * @return Index of found element or negative insertion point (shifted by one) */ public int binarySearch(int columnIndex, double value) { TDoubleArrayList column = columns[columnIndex]; return column.binarySearch(value); } public int binarySearch(String columnName, double value, double epsilon) { return binarySearch(columnIndex(columnName), value, epsilon); } public int binarySearch(int columnIndex, double value, double epsilon) { if (epsilon < 0d) epsilon = -epsilon; double vl = value - epsilon; double vh = value + epsilon; TDoubleArrayList column = columns[columnIndex]; int lo = 0, hi = column.size()-1; while (hi >= lo) { int mid = (lo + hi) >> 1; double v = column.getQuick(mid); if (v < vl) lo = mid + 1; else if (v > vh) hi = mid - 1; else return mid; } return -(lo + 1); } public double [] interpolate(int columnIndex, double key) { return interpolate(columnIndex, key, new double[columns.length]); } public double [] interpolate(String columnName, double key) { return interpolate( columnIndex(columnName), key, new double[columns.length]); } public double [] interpolate( String columnName, double key, double [] values ) { return interpolate(columnIndex(columnName), key, values); } public double [] interpolate( int columnIndex, double key, double [] values ) { int row = binarySearch(columnIndex, key, EPSILON); if (row >= 0) { // direct hit for (int i = 0; i < values.length; ++i) { values[i] = columns[i].getQuick(row); } } else { row = -row - 1; if (row < 1 || row >= size()) { return null; } double v1 = columns[columnIndex].getQuick(row-1); double v2 = columns[columnIndex].getQuick(row); double factor = Linear.factor(key, v1, v2); for (int i = 0; i < values.length; ++i) { values[i] = Linear.weight( factor, columns[i].getQuick(row-1), columns[i].getQuick(row)); } } return values; } public double [] interpolate( String keyName, double key, String [] columnNames ) { int keyIndex = columnIndex(keyName); return keyIndex < 0 ? null : interpolate(keyIndex, key, columnNames); } public double [] interpolate( int keyIndex, double key, String [] columnNames ) { int row = binarySearch(keyIndex, key, EPSILON); if (row >= 0) { // direct match double [] values = new double[columnNames.length]; for (int i = 0; i < values.length; ++i) { int ci = columnIndex(columnNames[i]); values[i] = ci < 0 ? Double.NaN : columns[ci].getQuick(row); } return values; } row = -row - 1; if (row < 1 || row >= size()) { log.debug("interpolate: row is out of bounds"); return null; } double v1 = columns[keyIndex].getQuick(row-1); double v2 = columns[keyIndex].getQuick(row); double factor = Linear.factor(key, v1, v2); double [] values = new double[columnNames.length]; for (int i = 0; i < values.length; ++i) { int ci = columnIndex(columnNames[i]); values[i] = ci < 0 ? Double.NaN : Linear.weight( factor, columns[ci].getQuick(row-1), columns[ci].getQuick(row)); } return values; } public boolean isSorted(String columnName) { return isSorted(columnIndex(columnName)); } public boolean isSorted(int columnIndex) { TDoubleArrayList column = columns[columnIndex]; for (int i = 1, N = column.size(); i < N; ++i) { if (column.getQuick(i-1) > column.getQuick(i)) { return false; } } return true; } public void visit(Visitor visitor) { visit(visitor, new double[columns.length]); } public void visit(Visitor visitor, double [] data) { for (int i = 0, R = size(); i < R; ++i) { for (int j = 0; j < data.length; ++j) { data[j] = columns[j].getQuick(i); } visitor.visit(data); } } } // vim:set ts=4 sw=4 si et sta sts=4 fenc=utf8 :