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Statistical sampling library for use in virtdata libraries, based on apache commons math 4

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// This file is auto-generated.
package io.nosqlbench.virtdata.library.curves4.continuous.int_double;

import io.nosqlbench.nb.annotations.Service;
import io.nosqlbench.virtdata.api.annotations.Category;
import io.nosqlbench.virtdata.api.processors.DocCtorData;
import io.nosqlbench.virtdata.api.processors.DocForFuncCtor;
import io.nosqlbench.virtdata.api.processors.DocFuncData;
import java.lang.String;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;

@Service(
    value = DocFuncData.class,
    selector = "io.nosqlbench.virtdata.library.curves4.continuous.int_double.Pareto"
)
public class ParetoAutoDocsInfo implements DocFuncData {
  public String getClassName() {
    return "Pareto";
  }

  public String getPackageName() {
    return "io.nosqlbench.virtdata.library.curves4.continuous.int_double";
  }

  public String getClassJavadoc() {
    return "@see Wikipedia: Pareto distribution\n"
            + "\n"
            + "@see Commons JavaDoc: ParetoDistribution\n"
            + "\n"
            + "\n";
  }

  public String getInType() {
    return "int";
  }

  public String getOutType() {
    return "double";
  }

  public Category[] getCategories() {
    return new Category[] { Category.distributions };
  }

  public List getCtors() {
    return new ArrayList() {{
          add(new DocForFuncCtor("Pareto", "", 
            new LinkedHashMap() {{
              put("scale","double");
              put("shape","double");
              put("mods","java.lang.String[]...");
            }},
            new ArrayList>() {{
            }}
          ));
        }};
  }
}




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