}

  /**
   * Constructs an empty {@code LinkedHashMultimap} with enough capacity to hold the specified
   * numbers of keys and values without rehashing.
   *
   * @param expectedKeys the expected number of distinct keys
   * @param expectedValuesPerKey the expected average number of values per key
   * @throws IllegalArgumentException if {@code expectedKeys} or {@code expectedValuesPerKey} is
   *     negative
   */

  }

  /**
   * Constructs an empty {@code LinkedHashMultimap} with enough capacity to hold the specified
   * numbers of keys and values without rehashing.
   *
   * @param expectedKeys the expected number of distinct keys
   * @param expectedValuesPerKey the expected average number of values per key
   * @throws IllegalArgumentException if {@code expectedKeys} or {@code expectedValuesPerKey} is
   *     negative
   */

	// FlagEOF the stream (either direction) is at EOF.
	FlagEOF

	// FlagStateless indicates the message is stateless.
	// This will retain clients across reconnections or
	// if sequence numbers are unexpected.
	FlagStateless

	// FlagPayloadIsErr can be used by individual ops to signify that
	// The payload is a string error converted to byte slice.
	FlagPayloadIsErr

            assertNotNull(e);
        }
    }

    @Test
    public void testConvertWithNumbersAndSymbols() throws IOException {
        // Test convert with numbers and symbols
        String text = "123 456.789 #hashtag @mention";
        String field = "content";

        List<String> results = converter.convert(text, field, "en");

        assertNotNull(results);
    }

    * Add `-prof async` to see hotspots.
* Have your benchmarks peer-reviewed.

### Don't

* Blindly believe the numbers that your microbenchmark produces but verify them by measuring e.g. with `-prof perfasm`.
* Run more threads than your number of CPU cores (in case you run multi-threaded microbenchmarks).

   *
   * <ul>
   *   <li>You want to assign the same fraction of inputs to each bucket.
   *   <li>When you reduce the number of buckets, you can accept that the most recently added
   *       buckets will be removed first. More concretely, if you are dividing traffic among tasks,
   *       you can decrease the number of tasks from 15 and 10, killing off the final 5 tasks, and

        return hash;
    }

    /**
     * Appends line numbers to each line of content with a given prefix.
     * Useful for debugging and displaying content with line references.
     *
     * @param prefix the prefix to add before each line number
     * @param content the content to add line numbers to
     * @return the content with line numbers prepended, or empty string if content is blank
     */

        .snapshot();
  }

  /**
   * Returns a {@link Collector} which accumulates statistics from a {@link java.util.stream.Stream}
   * of any type of boxed {@link Number} into a {@link Stats}. Use by calling {@code
   * boxedNumericStream.collect(toStats())}. The numbers will be converted to {@code double} values
   * (which may cause loss of precision).
   *

    assertEquals(42, queue.maximumSize);
    checkNatural(queue);
  }

  private static final ImmutableList<Integer> NUMBERS = ImmutableList.of(4, 8, 15, 16, 23, 42);

  public void testCreation_withContents() {
    MinMaxPriorityQueue<Integer> queue = MinMaxPriorityQueue.create(NUMBERS);
    assertEquals(6, queue.size());
    assertEquals(11, queue.capacity());
    checkUnbounded(queue);
    checkNatural(queue);

		},
		{
			name:       "select-in-number",
			query:      `SELECT * from s3object s WHERE 4 in s.numbers[*]`,
			wantResult: `{"id":2,"title":"Second Record","desc":"another text","numbers":[2,3,4]}`,
		},
		{
			name:       "select-in-number-float",
			query:      `SELECT * from s3object s WHERE 3 in s.numbers[*]`,
			wantResult: `{"id":2,"title":"Second Record","desc":"another text","numbers":[2,3,4]}`,
		},
		{