io.virtdata.stathelpers.aliasmethod.AliasSamplerDoubleIntAutoDocsInfo Maven / Gradle / Ivy

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// This file is auto-generated.
package io.virtdata.stathelpers.aliasmethod;

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;

public class AliasSamplerDoubleIntAutoDocsInfo implements DocFuncData {
  public String getClassName() {
    return "AliasSamplerDoubleInt";
  }

  public String getPackageName() {
    return "io.virtdata.stathelpers.aliasmethod";
  }

  public String getClassJavadoc() {
    return "Uses the alias sampling method to encode and sample from discrete probabilities,\n"
            + "even over larger sets of data. This form requires a unit interval sample value\n"
            + "between 0.0 and 1.0. Assuming the maximal amount of memory is used for distinct\n"
            + "outcomes N, a memory buffer of N*16 bytes is required for this implementation,\n"
            + "requiring 32MB of memory for 1M entries.\n"
            + "\n"
            + "This sampler should be shared between threads, and will be by default, in order\n"
            + "to avoid many instances of a 32MB buffer on heap.\n";
  }

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

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

  public List getCtors() {
    return new ArrayList() {{
          add(new DocForFuncCtor("AliasSamplerDoubleInt", "", 
            new LinkedHashMap() {{
              put("stats","java.nio.ByteBuffer");
            }},
            new ArrayList>() {{
            }}
          ));
          add(new DocForFuncCtor("AliasSamplerDoubleInt", "", 
            new LinkedHashMap() {{
              put("events","java.util.List");
            }},
            new ArrayList>() {{
            }}
          ));
        }};
  }
}