return d.depth == d.emitDepth
}

// any used to decode any valid JSON value, and returns an
// interface{} that holds the actual data
func (d *Decoder) any() (any, ValueType, error) {
	c := d.cur()

	switch c {
	case '"':
		i, err := d.string()
		return i, String, err
	case '0', '1', '2', '3', '4', '5', '6', '7', '8', '9':
		i, err := d.number()
		return i, Number, err
	case '-':

      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

     *                    <code>TransferEvent.REQUEST_GET</code> or <code>TransferEvent.REQUEST_PUT</code>.
     * @throws IllegalArgumentException when
     */
    public void setRequestType(final int requestType) {
        switch (requestType) {
            case REQUEST_PUT:
                break;
            case REQUEST_GET:
                break;
            default:

  public NetworkEquivalenceTest(EdgeType edgeType) {
    this.edgeType = edgeType;
    this.network = createNetwork(edgeType);
  }

  private static MutableNetwork<Integer, String> createNetwork(EdgeType edgeType) {
    switch (edgeType) {
      case UNDIRECTED:
        return NetworkBuilder.undirected().allowsSelfLoops(true).build();
      case DIRECTED:
        return NetworkBuilder.directed().allowsSelfLoops(true).build();
    }

  public NetworkEquivalenceTest(EdgeType edgeType) {
    this.edgeType = edgeType;
    this.network = createNetwork(edgeType);
  }

  private static MutableNetwork<Integer, String> createNetwork(EdgeType edgeType) {
    switch (edgeType) {
      case UNDIRECTED:
        return NetworkBuilder.undirected().allowsSelfLoops(true).build();
      case DIRECTED:
        return NetworkBuilder.directed().allowsSelfLoops(true).build();
    }

								dest[ref.ForeignKey.DBName] = pv
								if _, ok := dest[rel.Name]; ok {
									dest[rel.Name] = elem.Interface()
								}
							}
						}
					}
				}

				switch db.Statement.ReflectValue.Kind() {
				case reflect.Slice, reflect.Array:
					var (
						rValLen   = db.Statement.ReflectValue.Len()
						objs      = make([]reflect.Value, 0, rValLen)
						fieldType = rel.Field.FieldType

	if len(db.Statement.ColumnMapping) > 0 {
		for i, column := range columns {
			v, ok := db.Statement.ColumnMapping[column]
			if ok {
				columns[i] = v
			}
		}
	}

	db.RowsAffected = 0

	switch dest := db.Statement.Dest.(type) {
	case map[string]interface{}, *map[string]interface{}:
		if initialized || rows.Next() {
			columnTypes, _ := rows.ColumnTypes()
			prepareValues(values, db, columnTypes, columns)

// s390x instruction set, to minimize its interaction
// with the core of the assembler.

package arch

import (
	"cmd/internal/obj/s390x"
)

func jumpS390x(word string) bool {
	switch word {
	case "BRC",
		"BC",
		"BCL",
		"BEQ",
		"BGE",
		"BGT",
		"BL",
		"BLE",
		"BLEU",
		"BLT",
		"BLTU",
		"BNE",
		"BR",
		"BVC",
		"BVS",
		"BRCT",
		"BRCTG",

func ToStringKey(values ...interface{}) string {
	results := make([]string, len(values))

	for idx, value := range values {
		if valuer, ok := value.(driver.Valuer); ok {
			value, _ = valuer.Value()
		}

		switch v := value.(type) {
		case string:
			results[idx] = v
		case []byte:
			results[idx] = string(v)
		case uint:
			results[idx] = strconv.FormatUint(uint64(v), 10)
		default:
			results[idx] = "nil"

     * @return The converted {@link Boolean}
     */
    public static Boolean toBoolean(final Object o) {
        return switch (o) {
        case null -> null;
        case Boolean b -> b;
        case Number n -> n.intValue() != 0;
        case String s -> switch (s.toLowerCase()) {
        case "true" -> Boolean.TRUE;
        case "false", "0" -> Boolean.FALSE;
        default -> Boolean.TRUE;
        };