io.virtdata.libbasics.shared.from_long.to_long.WeightedLongsAutoDocsInfo Maven / Gradle / Ivy
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With inspiration from other libraries
// This file is auto-generated.
package io.virtdata.libbasics.shared.from_long.to_long;
import io.virtdata.annotations.Category;
import io.virtdata.annotations.Service;
import io.virtdata.processors.DocCtorData;
import io.virtdata.processors.DocForFuncCtor;
import io.virtdata.processors.DocFuncData;
import java.lang.String;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
@Service(DocFuncData.class)
public class WeightedLongsAutoDocsInfo implements DocFuncData {
public String getClassName() {
return "WeightedLongs";
}
public String getPackageName() {
return "io.virtdata.libbasics.shared.from_long.to_long";
}
public String getClassJavadoc() {
return "Provides a long value from a list of weighted values. The total likelihood\n"
+ "of any value to be produced is proportional to its relative weight in\n"
+ "the total weight of all elements.\n"
+ "\n"
+ "This function automatically hashes the input, so the result is already pseudo-random.\n";
}
public String getInType() {
return "long";
}
public String getOutType() {
return "java.lang.Long";
}
public Category[] getCategories() {
return new Category[] { };
}
public List getCtors() {
return new ArrayList() {{
add(new DocForFuncCtor("WeightedLongs", "",
new LinkedHashMap() {{
put("valuesAndWeights","java.lang.String");
}},
new ArrayList>() {{
add(new ArrayList() {{
add("WeightedLongs('1:10;3;5;12345;1");
add("Yield 1 62.5% of the time, 3 31.25% of the time, and 12345 6.2% of the time");
}});
}}
));
}};
}
}