commenters = Counter()
    last_month_commenters = Counter()
    three_months_commenters = Counter()
    six_months_commenters = Counter()
    one_year_commenters = Counter()
    authors: Dict[str, Author] = {}

    now = datetime.now(tz=timezone.utc)
    one_month_ago = now - timedelta(days=30)
    three_months_ago = now - timedelta(days=90)
    six_months_ago = now - timedelta(days=180)

It is a project from the Linux Foundation. It provides **HTTPS certificates for free**, in an automated way. These certificates use all the standard cryptographic security, and are short-lived (about 3 months), so the **security is actually better** because of their reduced lifespan.

The domains are securely verified and the certificates are generated automatically. This also allows automating the renewal of these certificates.

labels.facet_timestamp_title=Date Range
labels.facet_timestamp_1day=Past 24 Hours
labels.facet_timestamp_1week=Past Week
labels.facet_timestamp_1month=Past Month
labels.facet_timestamp_1year=Past Year
labels.facet_timestamp_3month=Past 3 Months
labels.facet_timestamp_6month=Past 6 Months
labels.facet_timestamp_2year=Past 2 Years
labels.facet_timestamp_3year=Past 3 Years
labels.facet_contentLength_title=Size

labels.facet_timestamp_title=Date Range
labels.facet_timestamp_1day=Past 24 Hours
labels.facet_timestamp_1week=Past Week
labels.facet_timestamp_1month=Past Month
labels.facet_timestamp_1year=Past Year
labels.facet_timestamp_3month=Past 3 Months
labels.facet_timestamp_6month=Past 6 Months
labels.facet_timestamp_2year=Past 2 Years
labels.facet_timestamp_3year=Past 3 Years
labels.facet_contentLength_title=Size

labels.search_related_queries=Related Words:
labels.search_result_similar=Similar Results ({0})
labels.facet_timestamp_3month=Past 3 Months
labels.facet_timestamp_6month=Past 6 Months
labels.facet_timestamp_2year=Past 2 Years
labels.facet_timestamp_3year=Past 3 Years
labels.facet_contentLength_10kto50k=10kb - 50kb
labels.facet_contentLength_50kto100k=50kb - 100kb

labels.search_result_sort_filename_asc=File Name (ascending)
labels.search_result_sort_filename_desc=File Name (descending)
labels.search_result_similar=Similar Results ({0})
labels.facet_timestamp_3month=Past 3 Months
labels.facet_timestamp_6month=Past 6 Months
labels.facet_timestamp_2year=Past 2 Years
labels.facet_timestamp_3year=Past 3 Years
labels.facet_contentLength_10kto50k=10kb - 50kb
labels.facet_contentLength_50kto100k=50kb - 100kb

 * of the code may not be readable by older versions of the code (e.g., a serialized Bloom filter
 * generated today may <i>not</i> be readable by a binary that was compiled 6 months ago).
 *
 * <p>As of Guava 23.0, this class is thread-safe and lock-free. It internally uses atomics and
 * compare-and-swap to ensure correctness when multiple threads are used to access it.
 *

          }
          dayOfMonth == -1 && matcher.usePattern(DAY_OF_MONTH_PATTERN).matches() -> {
            dayOfMonth = matcher.group(1).toInt()
          }
          month == -1 && matcher.usePattern(MONTH_PATTERN).matches() -> {
            val monthString = matcher.group(1).lowercase(Locale.US)
            month = MONTH_PATTERN.pattern().indexOf(monthString) / 4 // Sneaky! jan=1, dec=12.
          }

	Quantity  *Operand     `parser:" @@ \",\""`
	Timestamp *PrimaryTerm `parser:" @@ \")\""`
}

// DateDiffFunc represents the DATE_DIFF function
type DateDiffFunc struct {

func msDosTimeToTime(dosDate, dosTime uint16) time.Time {
	return time.Date(
		// date bits 0-4: day of month; 5-8: month; 9-15: years since 1980
		int(dosDate>>9+1980),
		time.Month(dosDate>>5&0xf),
		int(dosDate&0x1f),

		// time bits 0-4: second/2; 5-10: minute; 11-15: hour
		int(dosTime>>11),
		int(dosTime>>5&0x3f),
		int(dosTime&0x1f*2),