wrapperToPrimitiveMap.put(Integer.class, Integer.TYPE);
        wrapperToPrimitiveMap.put(Long.class, Long.TYPE);
        wrapperToPrimitiveMap.put(Float.class, Float.TYPE);
        wrapperToPrimitiveMap.put(Double.class, Double.TYPE);

        primitiveToWrapperMap.put(Boolean.TYPE, Boolean.class);
        primitiveToWrapperMap.put(Character.TYPE, Character.class);
        primitiveToWrapperMap.put(Byte.TYPE, Byte.class);

    out.writeShort((short) 50000);
    out.writeInt(0xCAFEBABE);
    out.writeLong(0xDEADBEEFCAFEBABEL);
    out.writeUTF("Herby Derby");
    out.writeFloat(Float.intBitsToFloat(0xCAFEBABE));
    out.writeDouble(Double.longBitsToDouble(0xDEADBEEFCAFEBABEL));
  }

  public void testReadFully() throws IOException {
    DataInput in = new LittleEndianDataInputStream(new ByteArrayInputStream(data));
    byte[] b = new byte[data.length];

    }
    
    public boolean isHealthy() {
        return state == ChannelState.ACTIVE || state == ChannelState.ESTABLISHED;
    }
    
    public double getErrorRate() {
        long total = requestsSent.get();
        if (total == 0) return 0.0;
        return (double) errors.get() / total;
    }
    
    public long getThroughput() {
        long duration = System.currentTimeMillis() - establishedTime;

    public void setErrorCount_PercentileRanks(double[] values) {
        setErrorCount_PercentileRanks(values, null);
    }

    public void setErrorCount_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setErrorCount_PercentileRanks("errorCount", values, opLambda);
    }

    public void setErrorCount_PercentileRanks(String name, double[] values,

  public float floatValue() {
    return longValue();
  }

  /**
   * Returns the value of this {@code UnsignedInteger} as a {@code double}, analogous to a widening
   * primitive conversion from {@code int} to {@code double}, and correctly rounded.
   */
  @Override
  public double doubleValue() {
    return longValue();
  }

  /** Returns the value of this {@code UnsignedInteger} as a {@link BigInteger}. */

                    path,
                    uniqueStrings,
                    totalOccurrences,
                    totalMemory,
                    potentialSavings,
                    (double) totalOccurrences / uniqueStrings,
                    getMostFrequentValues(stats, 5)));
        }

        analysis.sort((a, b) -> Long.compare(b.potentialSavings, a.potentialSavings));
        return analysis;

    assertEquals(0, Defaults.defaultValue(long.class).longValue());
    assertEquals(0.0f, Defaults.defaultValue(float.class).floatValue());
    assertThat(Defaults.defaultValue(double.class).doubleValue()).isEqualTo(0.0d);
    assertThat(Defaults.defaultValue(void.class)).isNull();
    assertThat(Defaults.defaultValue(String.class)).isNull();
  }

    public void setCreatedTime_PercentileRanks(double[] values) {
        setCreatedTime_PercentileRanks(values, null);
    }

    public void setCreatedTime_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setCreatedTime_PercentileRanks("createdTime", values, opLambda);
    }

    public void setCreatedTime_PercentileRanks(String name, double[] values,

/**
 * @author higa
 *
 */
public class DoubleConversionUtilTest extends TestCase {

    /**
     * @throws Exception
     */
    public void testToDouble() throws Exception {
        assertEquals(Double.valueOf("1000.5"), DoubleConversionUtil.toDouble("1,000.5"));
    }

    /**
     * @throws Exception
     */
    public void testToPrimitiveDouble() throws Exception {

        // Simple heuristic based on data entropy
        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression
        return 0.3 + (entropy * 0.6); // Range from 30% to 90%
    }

    @Override