"","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[],\"indexRefName\":\"kibanaSavedObjectMeta.searchSourceJSON.index\"}"},"title":"search-query-counts-per-sec","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"search-query-counts-per-sec\",\"type\":\"histogram\",\"params\":{\"type\":\"histogram\",\"grid\":{\"categoryLines\":false},\"categoryAxes\":[{\"id\":\"CategoryAxis-1\",\"type\":\"category\",\"position\":\"bottom\",\"show\":t...

    }

    /**
     * Represents a field facet with its name and value counts.
     * Each field facet contains multiple values with their respective document counts.
     */
    public static class Field {
        /**
         * Map containing field values and their document counts.
         * Keys are field values as strings, values are document counts.
         */

        assertEquals("0A", Hexdump.toHexString(data3, 0, 2)); // 2 chars = 1 byte
        assertEquals("0A0", Hexdump.toHexString(data3, 0, 3)); // 3 chars = 1.5 bytes (rounds up to 2)
        assertEquals("0A0B", Hexdump.toHexString(data3, 0, 4)); // 4 chars = 2 bytes
        assertEquals("0A0B0", Hexdump.toHexString(data3, 0, 5)); // 5 chars = 2.5 bytes (rounds up to 3)

/**
 * Fess-specific crawler configuration that extends OpenSearchCrawlerConfig.
 * This class provides configuration settings for the Fess crawler including
 * index names, shard counts, and replica counts for queue, data, and filter indices.
 */
public class FessCrawlerConfig extends OpenSearchCrawlerConfig {

    /**
     * Default constructor.
     */
    public FessCrawlerConfig() {
        super();

        assertNotSame(first, second, "Should create new connection when session limit reached");
    }

    @Test
    @DisplayName("Should access fail counts map correctly")
    void testFailCountsAccess() throws Exception {
        // Given: Access to fail counts via reflection
        Field failCountsField = SmbTransportPoolImpl.class.getDeclaredField("failCounts");
        failCountsField.setAccessible(true);

        writeLittleEndianInt(baos, 10); // size
        writeLittleEndianLong(baos, 25); // Unaligned offset (not multiple of 8)
        // Add enough data to avoid array bounds issues
        while (baos.size() < 35) {
            baos.write(0);
        }
        byte[] pacData = baos.toByteArray();

        }
    }

    /**
     * Validate buffer access bounds
     *
     * @param buffer the buffer
     * @param offset offset to access
     * @param length length to read
     * @throws SmbException if access would exceed bounds
     */
    public void validateBufferAccess(byte[] buffer, int offset, int length) throws SmbException {

    }

    @Test
    void testEncodeSourceOffsetBeyondLength() {
        // Test with source offset + length exceeding source array bounds
        byte[] data = { 0x01, 0x02 };
        // This constructor call itself should not throw an error, as it's just storing the values.
        // The error should occur when System.arraycopy is called.

		Queries can be inclusive or exclusive of the upper and lower bounds.
		If you want to find documents whose content_length fields have values
		between 1000 and 10000, inclusive, you can enter:
		<pre>content_length:[1000 TO 10000]</pre>
		If you want to exclude the upper and lower bounds, use "{}".
	</dd>
	<dt>Boost</dt>
	<dd>
		To boost a term use the "^" symbol with a boost factor (a number) at

            assertThrows(ArrayIndexOutOfBoundsException.class, () -> {
                Strings.findUNITermination(bufferWithoutTermination, 0, bufferWithoutTermination.length);
            }, "Should throw ArrayIndexOutOfBoundsException when termination not found within bounds");
        }

        @Test