a||s?n+(Ws(e)?"roky":"let"):n+"lety"}}function Es(e,a,t,s){var n={m:["eine Minute","einer Minute"],h:["eine Stunde","einer Stunde"],d:["ein Tag","einem Tag"],dd:[e+" Tage",e+" Tagen"],w:["eine Woche","einer Woche"],M:["ein Monat","einem Monat"],MM:[e+" Monate",e+" Monaten"],y:["ein Jahr","einem Jahr"],yy:[e+" Jahre",e+" Jahren"]};return a?n[t][0]:n[t][1]}function Fs(e,a,t,s){var n={m:["eine Minute","einer Minute"],h:["eine Stunde","einer Stunde"],d:["ein Tag","einem Tag"],dd:[e+" Tage",e+" Tagen"],w:["eine Woche","einer...

	if err != nil && !errors.Is(err, errConfigNotFound) {
		return b, err
	}
	if err == nil {
		b.defaultTimestamps()
	}

	// If bucket metadata is missing look for legacy files,
	// since we only ever had b.Created as non-zero when
	// migration was complete in 2020-May release. So this
	// a check to avoid migrating for buckets that already
	// have this field set.
	if b.Created.IsZero() {

              // positive).
              bloomFilter.put(key);
              // False negative should *never* happen.
              assertThat(bloomFilter.mightContain(key)).isTrue();

              // If this check ever fails, that means we need to either bump the
              // number of expected insertions or don't run the test for so long.
              // Don't forget, the bloom filter slowly saturates over time and the

lBC,KAAM,aAENX,cAAe,SAAUxE,GACxB,IAAIoF,EAAOC,EAIX,SAAMrF,GAAgC,oBAAzBP,EAASN,KAAMa,QAI5BoF,EAAQvG,EAAUmB,KASK,mBADvBqF,EAAO3F,GAAOP,KAAMiG,EAAO,gBAAmBA,EAAM5C,cACf5C,EAAWT,KAAMkG,KAAWxF,IAGlEyF,cAAe,SAAUtF,GACxB,IAAIoC,EAEJ,IAAMA,KAAQpC,EACb,OAAO,EAER,OAAO,GAKRuF,WAAY,SAAU7E,EAAMwD,EAAStD,GACpCH,EAASC,EAAM,CAAEH,MAAO2D,GAAWA,EAAQ3D,OAASK,IAGrDqC,KAAM,SAAUjD,EAAKkD,GACpB,IAAIjB,EAAQpB,EAAI,EAEhB,GAAKmB,EAAahC,IAEjB,IADAiC,EAASjC,EAAIiC,OACLpB,EAAIoB,EAAQpB,IACnB,IAAgD,IAA3CqC,EAAS/D,KAAMa,EAAKa,...

   * will remember the first duplicate key we encountered. All later calls to buildOrThrow() can
   * mention that key with its values. Further duplicates might be added in the meantime but since
   * builders only ever accumulate entries it will always be valid to throw from buildOrThrow() with
   * the first duplicate.
   */

  // This entry point is for callers other than ImmutableMap.Builder.

    // objects indefinitely.
    private void drainQueue() {
      Reference<? extends L> ref;
      while ((ref = queue.poll()) != null) {
        // We only ever register ArrayReferences with the queue so this is always safe.
        ArrayReference<? extends L> arrayRef = (ArrayReference<? extends L>) ref;

    // oldFuture completes.
    Runnable listener =
        () -> {
          if (taskFuture.isDone()) {
            // Since the value of oldFuture can only ever be immediateFuture(null) or setFuture of
            // a future that eventually came from immediateFuture(null), this doesn't leak
            // throwables or completion values.
            newFuture.setFuture(oldFuture);

    internal val lengths: LongArray = LongArray(valueCount)
    internal val cleanFiles = mutableListOf<Path>()
    internal val dirtyFiles = mutableListOf<Path>()

    /** True if this entry has ever been published. */
    internal var readable: Boolean = false

    /** True if this entry must be deleted when the current edit or read completes. */
    internal var zombie: Boolean = false

    /**

    assertMoreInvariants(map);
  }

  @SuppressWarnings("CollectionIncompatibleType")
  private void assertEntrySetNotContainsString(Set<Entry<K, V>> entrySet) {
    // Very unlikely that a buggy collection would ever return true. It might accidentally throw.
    assertFalse(entrySet.contains("foo"));
  }

  /**
   * Override this to check invariants which should hold true for a particular implementation, but

        (oldCapacity < 64) ? (oldCapacity + 1) * 2 : IntMath.checkedMultiply(oldCapacity / 2, 3);
    return capAtMaximumSize(newCapacity, maximumSize);
  }

  /** There's no reason for the queueSize to ever be more than maxSize + 1 */
  private static int capAtMaximumSize(int queueSize, int maximumSize) {
    return min(queueSize - 1, maximumSize) + 1; // don't overflow
  }