io.virtdata.basicsmappers.from_long.to_double.HashedRangedToNonuniformDoubleAutoDocsInfo Maven / Gradle / Ivy

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With inspiration from other libraries

There is a newer version: 2.12.15

// This file is auto-generated.
package io.virtdata.basicsmappers.from_long.to_double;

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 HashedRangedToNonuniformDoubleAutoDocsInfo implements DocFuncData {
  public String getClassName() {
    return "HashedRangedToNonuniformDouble";
  }

  public String getPackageName() {
    return "io.virtdata.basicsmappers.from_long.to_double";
  }

  public String getClassJavadoc() {
    return "This provides a random sample of a double in a range, without\n"
            + "accounting for the non-uniform distribution of IEEE double representation.\n"
            + "This means that values closer to high-precision areas of the IEEE spec\n"
            + "will be weighted higher in the output. However, NaN and positive and\n"
            + "negative infinity are filtered out via oversampling. Results are still\n"
            + "stable for a given input value.\n";
  }

  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("HashedRangedToNonuniformDouble", "", 
            new LinkedHashMap() {{
              put("min","long");
              put("max","long");
            }},
            new ArrayList>() {{
            }}
          ));
        }};
  }
}