/** Time taken for the operation in milliseconds. */
    protected final long took;

    /**
     * Constructor for SuggestIndexResponse.
     * @param numberOfSuggestDocs The number of suggest documents.
     * @param numberOfInputDocs The number of input documents.
     * @param errors A list of Throwables representing errors.
     * @param took The time taken for the operation in milliseconds.
     */

    protected final long allRecordCount;

    /** The relation type indicating how the record count should be interpreted (e.g., "eq", "gte"). */
    protected final String allRecordCountRelation;

    /** The time taken to execute the search query in milliseconds. */
    protected final long queryTime;

    /** Flag indicating whether the search results are partial due to timeout or other constraints. */

     *
     * @return the index
     */
    public String getIndex() {
        return index;
    }

    /**
     * Returns the time taken to generate the response in milliseconds.
     *
     * @return the time taken in milliseconds
     */
    public long getTookMs() {
        return tookMs;
    }

    /**
     * Returns the list of popular words.
     *

        // Value taken from p2
        // ----------------------------------------------------------------------

        assertEquals("mailing-list", project4.getMailingLists().get(0).getName());

        // ----------------------------------------------------------------------
        // Value taken from p1

 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes
 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *

on:  `But why did they live at the bottom of a well?'

  `Take some more tea,' the March Hare said to Alice, very
earnestly.

  `I've had nothing yet,' Alice replied in an offended tone, `so
I can't take more.'

  `You mean you can't take LESS,' said the Hatter:  `it's very
easy to take MORE than nothing.'

  `Nobody asked YOUR opinion,' said Alice.

     * and the arithmetic mean is always higher than the geometric mean.
     *
     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles
     * with each iteration, so this algorithm takes O(log(digits)) iterations.
     *
     * We start out with a double-precision approximation, which may be higher or lower than the
     * true value. Therefore, we perform at least one Newton iteration to get a guess that's

// using octal encoding with the appropriate NUL terminator.
func fitsInOctal(n int, x int64) bool {
	octBits := uint(n-1) * 3
	return x >= 0 && (n >= 22 || x < 1<<octBits)
}

// parsePAXTime takes a string of the form %d.%d as described in the PAX
// specification. Note that this implementation allows for negative timestamps,
// which is allowed for by the PAX specification, but not always portable.

			xForwardedFor: []string{"8.8.8.8"},
			xRealIP:       []string{"1.1.1.1"},
		},
	}
	// When X-Forwarded-For and X-Real-IP headers are both present, X-Forwarded-For takes precedence.
	res := GetSourceIP(req)
	if res != "8.8.8.8" {
		t.Errorf("wrong header, xff takes precedence: got %s, want: 8.8.8.8", res)
	}

	// When explicitly disabled, the XFF header is ignored and X-Real-IP is used.
	enableXFFHeader = false
	defer func() {

    TypeToken<First<String>> tokenF = new TypeToken<First<String>>() {};
    assertTrue(tokenF.isSupertypeOf(new TypeToken<Second<String>>() {}));
    assertTrue(tokenF.isSupertypeOf(new TypeToken<Third<String, Integer>>() {}));
    assertFalse(tokenF.isSupertypeOf(new TypeToken<Third<Integer, String>>() {}));
    assertTrue(tokenF.isSupertypeOf(new TypeToken<Fourth<Integer, String>>() {}));