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With inspiration from other libraries
package io.nosqlbench.virtdata.library.realer;
import io.nosqlbench.virtdata.api.annotations.Categories;
import io.nosqlbench.virtdata.api.annotations.Category;
import io.nosqlbench.virtdata.api.annotations.Example;
import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
import io.nosqlbench.virtdata.library.basics.shared.distributions.WeightedStringsFromCSV;
import java.util.function.LongFunction;
/**
* Return a pseudo-randomly sampled first name from the last US census data on first names
* occurring more than 100 times. Both male and female names are combined in this function.
*/
@ThreadSafeMapper
@Categories({Category.premade})
public class FirstNames extends WeightedStringsFromCSV implements LongFunction {
@Example({"FirstNames()","select a random first name based on the chance of seeing it in the census data"})
public FirstNames() {
super("Name", "Weight", "data/female_firstnames", "data/male_firstnames");
}
@Example({"FirstNames('map')","select over the first names by probability as input varies from 1L to Long.MAX_VALUE"})
public FirstNames(String modifier) {
super("Name", "Weight", modifier, "data/female_firstnames", "data/male_firstnames");
}
}