```

### 3.2 Automatic removal of noncurrent versions keeping only most recent ones after noncurrent days

It is possible to configure automatic removal of older noncurrent versions keeping only the most recent `N` using `NewerNoncurrentVersions`.

e.g, To remove noncurrent versions of all objects keeping the most recent 5 noncurrent versions under the prefix `user-uploads/` 30 days after they become noncurrent ,

  }

  @GwtIncompatible
  @J2ktIncompatible
  /*
   * The mainline copy of ImmutableMapValues doesn't produce this serialized form anymore, though
   * the backport does. For now, we're keeping the class declaration in *both* flavors so that both
   * flavors can read old data or data from the other flavor. However, we strongly discourage

	// Test on a copy
	// cleanup is the only one deleting caches.
	caches, _ := b.cloneCaches()

	for id, cache := range caches {
		if !cache.worthKeeping() {
			b.debugf("cache %s not worth keeping", id)
			remove[id] = struct{}{}
			continue
		}
		if cache.id != id {
			logger.Info("cache ID mismatch %s != %s", id, cache.id)
			remove[id] = struct{}{}
			continue
		}

            sb.setLength(0); // Reset length
        }
        return sb;
    }

    private void returnStringBuilder(StringBuilder sb) {
        if (sb != null && sb.capacity() < 2048) { // Avoid keeping very large builders
            stringBuilderPool.offer(sb);
        }
    }

    private Map<String, Object> getContextMap() {
        HashMap<String, Object> map = mapPool.poll();
        if (map == null) {

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)
* Data conversion (a.k.a. parsing / serialization)
* Data validation
* Schema documentation

		p.actionsLatency[a].add(duration)
	}
}

type currentPathTracker struct {
	name *unsafe.Pointer // contains atomically accessed *string
}

// currentPathUpdater provides a lightweight update function for keeping track of
// current objects for each disk.
// Returns a function that can be used to update the current object
// and a function to call to when processing finished.

        assertEquals(0x0001, decodedHeader.getFlags());
        assertEquals(testSessionId, decodedHeader.getSessionId());
    }

    // Duplicate testFlags method removed - keeping the first one

    @ParameterizedTest
    @ValueSource(ints = { 0, 1, 64, 1024, 4096, 65536 })
    @DisplayName("Should handle various message sizes")
    void testVariousMessageSizes(int messageSize) {

        table[tableIndex] = effectiveEntry;
      } else {
        // We already saw this key, and the first value we saw (going backwards) is the one we are
        // keeping. So we won't touch table[], but we do still want to add the existing entry that
        // we found to entries[] so that we will see this key in the right place when iterating.
        if (duplicates == null) {

- Objects matching these prefixes will also not leave `null` delete markers, dramatically reduces namespace pollution while keeping the benefits of replication.
- Users with explicit permissions or the root credential can configure the versioning state of any bucket.

## Examples of enabling bucket versioning using MinIO Java SDK

        // Create multiple versions
        for (int i = 0; i < 5; i++) {
            keyManager.rotateSessionKey(sessionId);
        }

        // Clean up, keeping only 2 versions
        keyManager.cleanupArchivedKeys(2);

        // Verify only recent versions are kept
        assertTrue(keyManager.hasSessionKey(sessionId + ".v4"), "Version 4 should exist");