mirror of
https://github.com/processing/processing4.git
synced 2026-02-04 14:19:19 +01:00
791 lines
17 KiB
Java
791 lines
17 KiB
Java
package processing.data;
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import java.io.*;
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import java.util.HashMap;
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import java.util.Iterator;
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import processing.core.PApplet;
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/**
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* A simple table class to use a String as a lookup for an float value.
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*
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* @webref data:composite
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* @see IntDict
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* @see StringDict
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*/
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public class FloatDict {
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/** Number of elements in the table */
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protected int count;
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protected String[] keys;
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protected float[] values;
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/** Internal implementation for faster lookups */
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private HashMap<String, Integer> indices = new HashMap<String, Integer>();
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public FloatDict() {
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count = 0;
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keys = new String[10];
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values = new float[10];
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}
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/**
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* Create a new lookup with a specific size. This is more efficient than not
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* specifying a size. Use it when you know the rough size of the thing you're creating.
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*
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* @nowebref
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*/
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public FloatDict(int length) {
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count = 0;
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keys = new String[length];
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values = new float[length];
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}
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/**
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* Read a set of entries from a Reader that has each key/value pair on
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* a single line, separated by a tab.
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*
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* @nowebref
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*/
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public FloatDict(BufferedReader reader) {
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String[] lines = PApplet.loadStrings(reader);
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keys = new String[lines.length];
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values = new float[lines.length];
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for (int i = 0; i < lines.length; i++) {
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String[] pieces = PApplet.split(lines[i], '\t');
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if (pieces.length == 2) {
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keys[count] = pieces[0];
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values[count] = PApplet.parseFloat(pieces[1]);
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indices.put(pieces[0], count);
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count++;
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}
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}
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}
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/**
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* @nowebref
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*/
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public FloatDict(String[] keys, float[] values) {
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if (keys.length != values.length) {
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throw new IllegalArgumentException("key and value arrays must be the same length");
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}
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this.keys = keys;
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this.values = values;
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count = keys.length;
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for (int i = 0; i < count; i++) {
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indices.put(keys[i], i);
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}
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}
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/**
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* Constructor to allow (more intuitive) inline initialization, e.g.:
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* <pre>
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* new FloatDict(new Object[][] {
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* { "key1", 1 },
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* { "key2", 2 }
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* });
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* </pre>
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*/
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public FloatDict(Object[][] pairs) {
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count = pairs.length;
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this.keys = new String[count];
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this.values = new float[count];
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for (int i = 0; i < count; i++) {
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keys[i] = (String) pairs[i][0];
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values[i] = (Float) pairs[i][1];
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indices.put(keys[i], i);
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}
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}
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/**
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* @webref floatdict:method
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* @brief Returns the number of key/value pairs
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*/
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public int size() {
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return count;
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}
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/**
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* Remove all entries.
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*
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* @webref floatdict:method
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* @brief Remove all entries
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*/
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public void clear() {
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count = 0;
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indices = new HashMap<String, Integer>();
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}
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// . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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public class Entry {
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public String key;
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public float value;
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Entry(String key, float value) {
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this.key = key;
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this.value = value;
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}
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}
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public Iterable<Entry> entries() {
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return new Iterable<Entry>() {
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public Iterator<Entry> iterator() {
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return entryIterator();
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}
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};
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}
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public Iterator<Entry> entryIterator() {
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return new Iterator<Entry>() {
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int index = -1;
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public void remove() {
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removeIndex(index);
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index--;
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}
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public Entry next() {
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Entry e = new Entry(keys[index], values[index]);
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index++;
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return e;
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}
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public boolean hasNext() {
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return index+1 < size();
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}
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};
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}
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// . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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public String key(int index) {
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return keys[index];
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}
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protected void crop() {
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if (count != keys.length) {
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keys = PApplet.subset(keys, 0, count);
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values = PApplet.subset(values, 0, count);
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}
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}
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public Iterable<String> keys() {
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return new Iterable<String>() {
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@Override
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public Iterator<String> iterator() {
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return keyIterator();
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}
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};
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}
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// Use this to iterate when you want to be able to remove elements along the way
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public Iterator<String> keyIterator() {
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return new Iterator<String>() {
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int index = -1;
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public void remove() {
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removeIndex(index);
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index--;
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}
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public String next() {
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return key(++index);
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}
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public boolean hasNext() {
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return index+1 < size();
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}
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};
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}
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/**
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* Return a copy of the internal keys array. This array can be modified.
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*
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* @webref floatdict:method
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* @brief Return a copy of the internal keys array
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*/
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public String[] keyArray() {
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crop();
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return keyArray(null);
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}
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public String[] keyArray(String[] outgoing) {
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if (outgoing == null || outgoing.length != count) {
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outgoing = new String[count];
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}
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System.arraycopy(keys, 0, outgoing, 0, count);
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return outgoing;
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}
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public float value(int index) {
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return values[index];
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}
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/**
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* @webref floatdict:method
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* @brief Return the internal array being used to store the values
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*/
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public Iterable<Float> values() {
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return new Iterable<Float>() {
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@Override
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public Iterator<Float> iterator() {
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return valueIterator();
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}
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};
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}
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public Iterator<Float> valueIterator() {
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return new Iterator<Float>() {
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int index = -1;
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public void remove() {
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removeIndex(index);
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index--;
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}
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public Float next() {
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return value(++index);
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}
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public boolean hasNext() {
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return index+1 < size();
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}
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};
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}
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/**
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* Create a new array and copy each of the values into it.
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*
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* @webref floatdict:method
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* @brief Create a new array and copy each of the values into it
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*/
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public float[] valueArray() {
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crop();
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return valueArray(null);
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}
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/**
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* Fill an already-allocated array with the values (more efficient than
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* creating a new array each time). If 'array' is null, or not the same
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* size as the number of values, a new array will be allocated and returned.
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*/
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public float[] valueArray(float[] array) {
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if (array == null || array.length != size()) {
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array = new float[count];
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}
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System.arraycopy(values, 0, array, 0, count);
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return array;
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}
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/**
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* Return a value for the specified key.
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*
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* @webref floatdict:method
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* @brief Return a value for the specified key
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*/
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public float get(String key) {
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int index = index(key);
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if (index == -1) {
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throw new IllegalArgumentException("No key named '" + key + "'");
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}
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return values[index];
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}
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public float get(String key, float alternate) {
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int index = index(key);
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if (index == -1) {
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return alternate;
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}
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return values[index];
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}
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/**
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* @webref floatdict:method
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* @brief Create a new key/value pair or change the value of one
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*/
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public void set(String key, float amount) {
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int index = index(key);
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if (index == -1) {
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create(key, amount);
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} else {
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values[index] = amount;
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}
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}
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/**
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* @webref floatdict:method
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* @brief Check if a key is a part of the data structure
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*/
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public boolean hasKey(String key) {
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return index(key) != -1;
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}
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/**
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* @webref floatdict:method
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* @brief Add to a value
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*/
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public void add(String key, float amount) {
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int index = index(key);
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if (index == -1) {
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create(key, amount);
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} else {
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values[index] += amount;
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}
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}
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/**
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* @webref floatdict:method
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* @brief Subtract from a value
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*/
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public void sub(String key, float amount) {
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add(key, -amount);
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}
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/**
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* @webref floatdict:method
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* @brief Multiply a value
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*/
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public void mult(String key, float amount) {
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int index = index(key);
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if (index != -1) {
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values[index] *= amount;
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}
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}
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/**
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* @webref floatdict:method
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* @brief Divide a value
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*/
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public void div(String key, float amount) {
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int index = index(key);
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if (index != -1) {
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values[index] /= amount;
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}
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}
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private void checkMinMax(String functionName) {
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if (count == 0) {
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String msg =
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String.format("Cannot use %s() on an empty %s.",
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functionName, getClass().getSimpleName());
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throw new RuntimeException(msg);
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}
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}
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/**
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* @webref floatlist:method
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* @brief Return the smallest value
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*/
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public int minIndex() {
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//checkMinMax("minIndex");
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if (count == 0) return -1;
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// Will still return NaN if there are 1 or more entries, and they're all NaN
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float m = Float.NaN;
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int mi = -1;
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for (int i = 0; i < count; i++) {
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// find one good value to start
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if (values[i] == values[i]) {
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m = values[i];
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mi = i;
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// calculate the rest
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for (int j = i+1; j < count; j++) {
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float d = values[j];
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if ((d == d) && (d < m)) {
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m = values[j];
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mi = j;
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}
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}
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break;
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}
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}
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return mi;
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}
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// return the key for the minimum value
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public String minKey() {
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checkMinMax("minKey");
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int index = minIndex();
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if (index == -1) {
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return null;
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}
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return keys[index];
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}
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// return the minimum value, or throw an error if there are no values
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public float minValue() {
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checkMinMax("minValue");
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int index = minIndex();
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if (index == -1) {
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return Float.NaN;
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}
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return values[index];
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}
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/**
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* @webref floatlist:method
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* @brief Return the largest value
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*/
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// The index of the entry that has the max value. Reference above is incorrect.
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public int maxIndex() {
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//checkMinMax("maxIndex");
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if (count == 0) {
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return -1;
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}
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// Will still return NaN if there is 1 or more entries, and they're all NaN
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float m = Float.NaN;
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int mi = -1;
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for (int i = 0; i < count; i++) {
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// find one good value to start
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if (values[i] == values[i]) {
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m = values[i];
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mi = i;
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// calculate the rest
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for (int j = i+1; j < count; j++) {
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float d = values[j];
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if (!Float.isNaN(d) && (d > m)) {
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m = values[j];
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mi = j;
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}
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}
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break;
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}
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}
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return mi;
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}
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/** The key for a max value; null if empty or everything is NaN (no max). */
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public String maxKey() {
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//checkMinMax("maxKey");
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int index = maxIndex();
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if (index == -1) {
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return null;
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}
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return keys[index];
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}
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/** The max value. (Or NaN if no entries or they're all NaN.) */
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public float maxValue() {
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//checkMinMax("maxValue");
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int index = maxIndex();
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if (index == -1) {
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return Float.NaN;
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}
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return values[index];
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}
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public float sum() {
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double amount = sumDouble();
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if (amount > Float.MAX_VALUE) {
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throw new RuntimeException("sum() exceeds " + Float.MAX_VALUE + ", use sumDouble()");
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}
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if (amount < -Float.MAX_VALUE) {
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throw new RuntimeException("sum() lower than " + -Float.MAX_VALUE + ", use sumDouble()");
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}
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return (float) amount;
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}
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public double sumDouble() {
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double sum = 0;
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for (int i = 0; i < count; i++) {
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sum += values[i];
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}
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return sum;
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}
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public int index(String what) {
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Integer found = indices.get(what);
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return (found == null) ? -1 : found.intValue();
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}
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protected void create(String what, float much) {
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if (count == keys.length) {
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keys = PApplet.expand(keys);
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values = PApplet.expand(values);
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}
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indices.put(what, Integer.valueOf(count));
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keys[count] = what;
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values[count] = much;
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count++;
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}
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/**
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* @webref floatdict:method
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* @brief Remove a key/value pair
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*/
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public int remove(String key) {
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int index = index(key);
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if (index != -1) {
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removeIndex(index);
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}
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return index;
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}
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public String removeIndex(int index) {
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if (index < 0 || index >= count) {
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throw new ArrayIndexOutOfBoundsException(index);
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}
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String key = keys[index];
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//System.out.println("index is " + which + " and " + keys[which]);
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indices.remove(keys[index]);
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for (int i = index; i < count-1; i++) {
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keys[i] = keys[i+1];
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values[i] = values[i+1];
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indices.put(keys[i], i);
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}
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count--;
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keys[count] = null;
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values[count] = 0;
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return key;
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}
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public void swap(int a, int b) {
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String tkey = keys[a];
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float tvalue = values[a];
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keys[a] = keys[b];
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values[a] = values[b];
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keys[b] = tkey;
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values[b] = tvalue;
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// indices.put(keys[a], Integer.valueOf(a));
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// indices.put(keys[b], Integer.valueOf(b));
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}
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/**
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* Sort the keys alphabetically (ignoring case). Uses the value as a
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* tie-breaker (only really possible with a key that has a case change).
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*
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* @webref floatdict:method
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* @brief Sort the keys alphabetically
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*/
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public void sortKeys() {
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sortImpl(true, false, true);
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}
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/**
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* @webref floatdict:method
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* @brief Sort the keys alphabetically in reverse
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*/
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public void sortKeysReverse() {
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sortImpl(true, true, true);
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}
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/**
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* Sort by values in descending order (largest value will be at [0]).
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*
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* @webref floatdict:method
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* @brief Sort by values in ascending order
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*/
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public void sortValues() {
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sortValues(true);
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}
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/**
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* Set true to ensure that the order returned is identical. Slightly
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* slower because the tie-breaker for identical values compares the keys.
|
|
* @param stable
|
|
*/
|
|
public void sortValues(boolean stable) {
|
|
sortImpl(false, false, stable);
|
|
}
|
|
|
|
|
|
/**
|
|
* @webref floatdict:method
|
|
* @brief Sort by values in descending order
|
|
*/
|
|
public void sortValuesReverse() {
|
|
sortValuesReverse(true);
|
|
}
|
|
|
|
|
|
public void sortValuesReverse(boolean stable) {
|
|
sortImpl(false, true, stable);
|
|
}
|
|
|
|
|
|
protected void sortImpl(final boolean useKeys, final boolean reverse,
|
|
final boolean stable) {
|
|
Sort s = new Sort() {
|
|
@Override
|
|
public int size() {
|
|
if (useKeys) {
|
|
return count; // don't worry about NaN values
|
|
|
|
} else if (count == 0) { // skip the NaN check, it'll AIOOBE
|
|
return 0;
|
|
|
|
} else { // first move NaN values to the end of the list
|
|
int right = count - 1;
|
|
while (values[right] != values[right]) {
|
|
right--;
|
|
if (right == -1) {
|
|
return 0; // all values are NaN
|
|
}
|
|
}
|
|
for (int i = right; i >= 0; --i) {
|
|
if (Float.isNaN(values[i])) {
|
|
swap(i, right);
|
|
--right;
|
|
}
|
|
}
|
|
return right + 1;
|
|
}
|
|
}
|
|
|
|
@Override
|
|
public float compare(int a, int b) {
|
|
float diff = 0;
|
|
if (useKeys) {
|
|
diff = keys[a].compareToIgnoreCase(keys[b]);
|
|
if (diff == 0) {
|
|
diff = values[a] - values[b];
|
|
}
|
|
} else { // sort values
|
|
diff = values[a] - values[b];
|
|
if (diff == 0 && stable) {
|
|
diff = keys[a].compareToIgnoreCase(keys[b]);
|
|
}
|
|
}
|
|
return reverse ? -diff : diff;
|
|
}
|
|
|
|
@Override
|
|
public void swap(int a, int b) {
|
|
FloatDict.this.swap(a, b);
|
|
}
|
|
};
|
|
s.run();
|
|
|
|
// Set the indices after sort/swaps (performance fix 160411)
|
|
indices = new HashMap<String, Integer>();
|
|
for (int i = 0; i < count; i++) {
|
|
indices.put(keys[i], i);
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Sum all of the values in this dictionary, then return a new FloatDict of
|
|
* each key, divided by the total sum. The total for all values will be ~1.0.
|
|
* @return a FloatDict with the original keys, mapped to their pct of the total
|
|
*/
|
|
public FloatDict getPercent() {
|
|
double sum = sum();
|
|
FloatDict outgoing = new FloatDict();
|
|
for (int i = 0; i < size(); i++) {
|
|
double percent = value(i) / sum;
|
|
outgoing.set(key(i), (float) percent);
|
|
}
|
|
return outgoing;
|
|
}
|
|
|
|
|
|
/** Returns a duplicate copy of this object. */
|
|
public FloatDict copy() {
|
|
FloatDict outgoing = new FloatDict(count);
|
|
System.arraycopy(keys, 0, outgoing.keys, 0, count);
|
|
System.arraycopy(values, 0, outgoing.values, 0, count);
|
|
for (int i = 0; i < count; i++) {
|
|
outgoing.indices.put(keys[i], i);
|
|
}
|
|
outgoing.count = count;
|
|
return outgoing;
|
|
}
|
|
|
|
|
|
public void print() {
|
|
for (int i = 0; i < size(); i++) {
|
|
System.out.println(keys[i] + " = " + values[i]);
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Write tab-delimited entries out to
|
|
* @param writer
|
|
*/
|
|
public void write(PrintWriter writer) {
|
|
for (int i = 0; i < count; i++) {
|
|
writer.println(keys[i] + "\t" + values[i]);
|
|
}
|
|
writer.flush();
|
|
}
|
|
|
|
|
|
/**
|
|
* Return this dictionary as a String in JSON format.
|
|
*/
|
|
public String toJSON() {
|
|
StringList items = new StringList();
|
|
for (int i = 0; i < count; i++) {
|
|
items.append(JSONObject.quote(keys[i])+ ": " + values[i]);
|
|
}
|
|
return "{ " + items.join(", ") + " }";
|
|
}
|
|
|
|
|
|
@Override
|
|
public String toString() {
|
|
return getClass().getSimpleName() + " size=" + size() + " " + toJSON();
|
|
}
|
|
}
|