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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.long_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.long_double.Weibull"
)
public class WeibullAutoDocsInfo implements DocFuncData {
  public String getClassName() {
    return "Weibull";
  }

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

  public String getClassJavadoc() {
    return "";
  }

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

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

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

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




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