Since the artifact view was created before the attributes were added to the configuration, Gradle was not able to select the correct artifact.

Some builds may have worked around this by also putting the additional attributes into the artifact view. This is no longer necessary.

[[kotlin_1_9.0]]
==== Upgrade to Kotlin 1.9.0

			opType = replication.ObjectReplicationType
		}
		for _, rinfo := range rinfos.Targets {
			if rinfo.ReplicationStatus != rinfo.PrevReplicationStatus {
				rinfo.OpType = opType // update optype to reflect correct operation.
				globalReplicationStats.Update(bucket, rinfo, rinfo.ReplicationStatus, rinfo.PrevReplicationStatus)
			}
		}
	}

	sendEvent(eventArgs{
		EventName:  eventName,
		BucketName: bucket,

		watcherIdx:     0,
		watchers: indexedWatchers{
			allWatchers:   make(map[namespacedName]watchersMap),
			valueWatchers: make(map[string]watchersMap),
		},
		// TODO: Figure out the correct value for the buffer size.
		incoming:              make(chan watchCacheEvent, 100),
		dispatchTimeoutBudget: newTimeBudget(),
		// We need to (potentially) stop both:
		// - wait.Until go-routine

		n, err := io.Copy(io.MultiWriter(buf, md5w), ioutil.HardLimitReader(pReader, maxFanOutSize))
		if err != nil {
			writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
			return
		}

		// Set the correct hex md5sum for the fan-out stream.
		fanOutOpts.MD5Hex = hex.EncodeToString(md5w.Sum(nil))

		concurrentSize := 100
		if runtime.GOMAXPROCS(0) < concurrentSize {
			concurrentSize = runtime.GOMAXPROCS(0)
		}

					// the load.
					if sym, ok := v.Args[0].Aux.(*obj.LSym); ok && sym == ir.Syms.WriteBarrier {
						load = v
						break
					}
					v.Fatalf("load of write barrier flag not from correct global: %s", v.LongString())
				}
				// Common case: just flow backwards.
				if len(v.Args) == 1 || len(v.Args) == 2 && v.Args[0] == v.Args[1] {
					// Note: 386 lowers Neq32 to (TESTL cond cond),
					v = v.Args[0]

}

// parseTimeZone parses a time zone string and returns its length. Time zones
// are human-generated and unpredictable. We can't do precise error checking.
// On the other hand, for a correct parse there must be a time zone at the
// beginning of the string, so it's almost always true that there's one
// there. We look at the beginning of the string for a run of upper-case letters.

*   Remove the `tf.keras.dtensor.experimental.layout_map_scope()`. You can user the `tf.keras.dtensor.experimental.LayoutMap.scope()` instead.

## Security

*   Fixes correct values rank in UpperBound and LowerBound [CVE-2023-33976](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-33976)

## Thanks to our Contributors

    // Change all DT_VARIANT result types in function results to unranked tensor
    // type with element type derived from the corresponding input operand. This
    // is correct because while body's inputs and results have the same type.
    SmallVector<Type, 8> updated_result_types;
    updated_result_types.reserve(num_results);
    if (func_index == 1) {

A command line tool that will **process your code** and update most of the things **automatically** for you. Make sure you have your code in git first, and review each of the changes to make sure everything is correct before committing the changes.

### Pydantic v1

**This version of FastAPI still supports Pydantic v1**. And although Pydantic v1 will be deprecated at some point, it will still be supported for a while.

			pendingPods:    2,
			expectedActive: 2,
			expectedReady:  ptr.To[int32](0),
		},
		"correct # of pods": {
			parallelism:    3,
			completions:    5,
			backoffLimit:   6,
			activePods:     3,
			readyPods:      2,
			expectedActive: 3,
			expectedReady:  ptr.To[int32](2),
		},
		"WQ job: correct # of pods": {
			parallelism:    2,
			completions:    -1,
			backoffLimit:   6,