* Note that NumPy's type promotion rules have been changed(See [NEP 50](https://numpy.org/neps/nep-0050-scalar-promotion.html#nep50)for details). This may change the precision at which computations happen, leading either to type errors or to numerical changes to results.
  * Tensorflow will continue to support NumPy 1.26 until 2025, aligning with community standard deprecation timeline [here](https://scientific-python.org/specs/spec-0000/).

	}

	// Append
	DB.Model(&users).Association("Company").Append(
		&Company{Name: "company-slice-append-1"},
		&Company{Name: "company-slice-append-2"},
		&Company{Name: "company-slice-append-3"},
	)

	AssertAssociationCount(t, users, "Company", 3, "After Append")

	DB.Model(&users).Association("Manager").Append(
		GetUser("manager-slice-belongs-to-1", Config{}),

s3 := append(s2, s0...)            // append a slice              s3 is []int{0, 0, 2, 3, 5, 7, 0, 0}
s4 := append(s3[3:6], s3[2:]...)   // append overlapping slice    s4 is []int{3, 5, 7, 2, 3, 5, 7, 0, 0}

var t []interface{}
t = append(t, 42, 3.1415, "foo")   //                             t is []interface{}{42, 3.1415, "foo"}

var b []byte

			PoolIndex: disks[0].PoolIndex,
		}
		for _, disk := range disks {
			ss.Disks = append(ss.Disks, disk)
			if disk.Healing {
				ss.HealStatus = "Healing"
				ss.HealPriority = "high"
				status.HealDisks = append(status.HealDisks, disk.Endpoint)
			}
		}
		sortDisks(ss.Disks)
		status.Sets = append(status.Sets, ss)
	}
	sort.Slice(status.Sets, func(i, j int) bool {

// it resumes reading the next one down.
type Stack struct {
	tr []TokenReader
}

// Push adds tr to the top (end) of the input stack. (Popping happens automatically.)
func (s *Stack) Push(tr TokenReader) {
	s.tr = append(s.tr, tr)
}

func (s *Stack) Next() ScanToken {
	tos := s.tr[len(s.tr)-1]
	tok := tos.Next()
	for tok == scanner.EOF && len(s.tr) > 1 {
		tos.Close()

	}

	for i := 0; i < config.Pets; i++ {
		user.Pets = append(user.Pets, &Pet{Name: name + "_pet_" + strconv.Itoa(i+1)})
	}

	for i := 0; i < config.Toys; i++ {
		user.Toys = append(user.Toys, Toy{Name: name + "_toy_" + strconv.Itoa(i+1)})
	}

	for i := 0; i < config.Tools; i++ {
		user.Tools = append(user.Tools, Tools{Name: name + "_tool_" + strconv.Itoa(i+1)})
	}

	if config.Company {

- Overall, enable the feature of `PreferNominatedNode` will  improve the performance of scheduling where preemption might frequently happen, but in theory, enable the feature of `PreferNominatedNode`, the pod might not be scheduled to the best candidate node in the cluster. ([#93179](https://github.com/kubernetes/kubernetes/pull/93179), [@chendave](https://github.com/chendave)) [SIG Scheduling...

			// Same, discard one.
			merged = append(merged, a[0])
			a = a[1:]
			b = b[1:]
		case a[0].name < b[0].name:
			merged = append(merged, a[0])
			a = a[1:]
		default:
			merged = append(merged, b[0])
			b = b[1:]
		}
		if limit > 0 && len(merged) >= limit {
			break
		}
	}
	// Append anything left.
	if limit < 0 || len(merged) < limit {

- Pods which set `hostNetwork: true` and declare ports, get the `hostPort` field set automatically. Previously this would happen in the PodTemplate of a Deployment, DaemonSet or other workload API.  Now `hostPort` will only be set when an actual Pod is being created.  If this presents a problem, setting the feature gate "DefaultHostNetworkHostPortsInPodTemplates" to true will...

- Fixed an EndpointSlice Controller hashing bug that could cause EndpointSlices to incorrectly handle Pods with duplicate IP addresses. For example this could happen when a new Pod reused an IP that was also assigned to a Pod in a completed state. ([#115907](https://github.com/kubernetes/kubernetes/pull/115907), [@qinqon](https://github.com/qinqon)) [SIG Apps and Network]