`real := float32FromBits(state.decodeUint(), ovfl)
		imag := float32FromBits(state.decodeUint(), ovfl)
		slice[i] = complex(float32(real), float32(imag))`,
	},
	{
		"complex128",
		"Complex128",
		`real := float64FromBits(state.decodeUint())
		imag := float64FromBits(state.decodeUint())
		slice[i] = complex(real, imag)`,
	},
	{
		"float32",
		"Float32",
		`slice[i] = float32(float32FromBits(state.decodeUint(), ovfl))`,

        }

        then:
        model.thing.is(model.thing)
        model.things[0].is(model.thing)
    }

    def "retains underlying object identity in complex model returned to client via build action"() {
        settingsFile << "include 'a', 'b'"

        when:
        Map<String, CustomModel> model = withConnection { connection ->

 * task cannot be implemented with {@link ListeningExecutorService}, the various {@link Futures}
 * utility methods, or {@link ListenableFutureTask}. Those APIs have less opportunity for developer
 * error. If your needs are more complex than {@code SettableFuture} supports, use {@link
 * AbstractFuture}, which offers an extensible version of the API.
 *
 * @author Sven Mawson
 * @since 9.0 (in 1.0 as {@code ValueFuture})
 */
@GwtCompatible

	case Uint, Uint8, Uint16, Uint32, Uint64, Uintptr:
		return strconv.FormatUint(val.Uint(), 10)
	case Float32, Float64:
		return strconv.FormatFloat(val.Float(), 'g', -1, 64)
	case Complex64, Complex128:
		c := val.Complex()
		return strconv.FormatFloat(real(c), 'g', -1, 64) + "+" + strconv.FormatFloat(imag(c), 'g', -1, 64) + "i"
	case String:
		return val.String()
	case Bool:
		if val.Bool() {
			return "true"
		} else {

- **Flexibility and Control:**
Java serialization offers limited control over the serialization process, such as excluding certain fields, customizing naming conventions, and handling complex data structures more gracefully.

- **Security:**
Java serialization poses security risks, especially related to deserialization vulnerabilities.

- **Version Compatibility:**

		return strconv.FormatUint(val.Uint(), 10)
	case reflect.Float32, reflect.Float64:
		return strconv.FormatFloat(val.Float(), 'g', -1, 64)
	case reflect.Complex64, reflect.Complex128:
		c := val.Complex()
		return strconv.FormatFloat(real(c), 'g', -1, 64) + "+" + strconv.FormatFloat(imag(c), 'g', -1, 64) + "i"
	case reflect.String:
		return val.String()
	case reflect.Bool:
		if val.Bool() {
			return "true"

import org.gradle.api.Incubating;

import java.util.Collection;

/**
 * Provides infrastructure to select which test classes, methods, and packages will be included in the test execution.
 * <p>
 * A complex example:
 * <pre>
 * TestLauncher testLauncher = projectConnection.newTestLauncher();
 * testLauncher.withTestsFor(specs -&gt; {

		panic("unreachable")
	}
	a := s.Sizeof(T) // may be 0 or negative
	// spec: "For a variable x of any type: unsafe.Alignof(x) is at least 1."
	if a < 1 {
		return 1
	}
	// complex{64,128} are aligned like [2]float{32,64}.
	if isComplex(T) {
		a /= 2
	}
	if a > s.MaxAlign {
		return s.MaxAlign
	}
	return a
}

func _IsSyncAtomicAlign64(T Type) bool {
	named := asNamed(T)
	if named == nil {

	if r := recover(); r != nil {
		if s, ok := r.(string); ok {
			if strings.HasPrefix(s, panicPrefix) {
				return
			}
		}
		panic(r)
	}
}

// New creates a new fuzz.Helper, capable of generating more complex types
func New(t test.Failer, data []byte) Helper {
	return Helper{cf: fuzzheaders.NewConsumer(data), t: t}
}

			// impossible or has failed", using particular placeholder functions
			// to represent common failure cases. Look for those functions in
			// the leaf position as a sign that the call stack and its
			// symbolization are more complex than this test can handle.
			//
			// TODO: Make the symbolization done by the execution tracer and CPU
			// profiler match up even in these harder cases. See #53378.
			switch leaf {