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Statistical sampling library for use in virtdata libraries, based
on apache commons math 4
/*
* Copyright (c) 2022 nosqlbench
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package io.nosqlbench.virtdata.library.curves4.continuous.long_double;
import io.nosqlbench.virtdata.api.annotations.Example;
import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
import org.apache.commons.math4.distribution.EnumeratedRealDistribution;
@ThreadSafeMapper
public class Enumerated extends LongToDoubleContinuousCurve {
@Example({"Enumerated('1 2 3 4 5 6')","a fair 6-sided die"})
@Example({"Enumerated('1:2.0 2 3 4 5:0.5 6:0.5')","an unfair fair 6-sided die, where ones are twice as likely, and fives and sixes are half as likely"})
public Enumerated(String data, String... mods) {
super(new EnumeratedRealDistribution(parseWeights(data)[0], parseWeights(data)[1]), mods);
}
private static double[][] parseWeights(String input) {
String[] entries = input.split("[;, ]");
double[][] elements = new double[2][entries.length];
for (int i = 0; i < entries.length; i++) {
String[] parts = entries[i].split(":");
elements[1][i] = 1.0d;
switch (parts.length) {
case 2:
elements[1][i] = Double.parseDouble(parts[1]);
case 1:
elements[0][i] = Double.parseDouble(parts[0]);
break;
default:
throw new RuntimeException("Unable to parse entry or weight from '" + entries[i] + "'");
}
}
return elements;
}
}