}

	if err = DB.AutoMigrate(allModels...); err != nil {
		log.Printf("Failed to auto migrate, but got error %v\n", err)
		os.Exit(1)
	}

	for _, m := range allModels {
		if !DB.Migrator().HasTable(m) {
			log.Printf("Failed to create table for %#v\n", m)
			os.Exit(1)
		}
	}

			hasTable := false
			for _, t2 := range tables {
				if t2 == t1 {
					hasTable = true
					break
				}
			}
			if !hasTable {
				t.Fatalf("Failed to get table %v when GetTables", t1)
			}
		}
	}

	for _, m := range allModels {
		if !DB.Migrator().HasTable(m) {
			t.Fatalf("Failed to create table for %#v", m)
		}
	}

	CurrentDatabase() string
	FullDataTypeOf(*schema.Field) clause.Expr
	GetTypeAliases(databaseTypeName string) []string

	// Tables
	CreateTable(dst ...interface{}) error
	DropTable(dst ...interface{}) error
	HasTable(dst interface{}) bool
	RenameTable(oldName, newName interface{}) error
	GetTables() (tableList []string, err error)
	TableType(dst interface{}) (TableType, error)

	// Columns

			return tx.Exec("DROP TABLE IF EXISTS ?", m.CurrentTable(stmt)).Error
		}); err != nil {
			return err
		}
	}
	return nil
}

// HasTable returns table exists or not for value, value could be a struct or string
func (m Migrator) HasTable(value interface{}) bool {
	var count int64

	m.RunWithValue(value, func(stmt *gorm.Statement) error {
		currentDatabase := m.DB.Migrator().CurrentDatabase()

func TestMultiPubSub(t *testing.T) {
	ps := New[Maskable, Maskable](2)
	ch1 := make(chan Maskable, 1)
	ch2 := make(chan Maskable, 1)
	doneCh := make(chan struct{})
	defer close(doneCh)
	if err := ps.Subscribe(MaskAll, ch1, doneCh, func(entry Maskable) bool { return true }); err != nil {
		t.Fatalf("unexpected error: %v", err)
	}
	if err := ps.Subscribe(MaskAll, ch2, doneCh, func(entry Maskable) bool { return true }); err != nil {

var GetByteBuffer = func() []byte {
	return make([]byte, 0, 4096)
}

// Sub - subscriber entity.
type Sub[T Maskable] struct {
	ch     chan T
	types  Mask
	filter func(entry T) bool
}

// PubSub holds publishers and subscribers
type PubSub[T Maskable, M Maskable] struct {
	// atomics, keep at top:
	types          uint64
	numSubscribers int32
	maxSubscribers int32

	// not atomics:

func (t *Mask) MergeMaskable(other Maskable) {
	*t |= Mask(other.Mask())
}

// SetIf will add other if b is true.
func (t *Mask) SetIf(b bool, other Mask) {
	if b {
		*t |= other
	}
}

// Mask returns the mask as a uint64.
func (t Mask) Mask() uint64 {
	return uint64(t)
}

// Maskable implementations must return their mask as a 64 bit uint.
type Maskable interface {
	Mask() uint64

//
// Gradient is the type returned by gradient functions. In Python TF it's either
// Tensor or IndexedSlices or None, which here we map to nullptr. Gradients need
// to allow their size to be computed and they need to be passable to a backward
// function and deleted (as the backprop code creates lots of gradients the user
// is not interested in).
//
// BackwardFunction needs to be a closure which stores intermediate activations

* Multiple tests which previously failed due to lack of external IP addresses defined on the nodes should now be passable. ([#68792](https://github.com/kubernetes/kubernetes/pull/68792), [@johnSchnake](https://github.com/johnSchnake))

    functions. AutoGraph is also applied in functions used with `tf.data`,
    `tf.distribute` and `tf.keras` APIS.
*   Adds `enable_tensor_equality()`, which switches the behavior such that:
    *   Tensors are no longer hashable.
    *   Tensors can be compared with `==` and `!=`, yielding a Boolean Tensor
        with element-wise comparison results. This will be the default behavior
        in 2.0.

## Breaking Changes