import org.junit.Before;

import static org.junit.Assert.assertEquals;

public class PersonTest{

    Person person;
    @Before public void setup(){
        person = new Person();
    }

    @Test public void testAge() {
        person.setAge(30);
        assertEquals(30, person.getAge());
    }


    @Test public void testSurname() {
        person.setSurname("Duke");
        assertEquals("Duke", person.getSurname());

import jetbrains.buildServer.configs.kotlin.BuildStep
import jetbrains.buildServer.configs.kotlin.buildSteps.script
import model.CIBuildModel
import model.Stage
import model.StageName

class FlakyTestQuarantine(model: CIBuildModel, stage: Stage, os: Os, arch: Arch = Arch.AMD64) : BaseGradleBuildType(stage = stage, init = {
    id("${model.projectId}_FlakyQuarantine_${os.asName()}_${arch.asName()}")
    name = "Flaky Test Quarantine - ${os.asName()} ${arch.asName()}"

enum class CompilerArgSource {
  TENSOR_SPEC,
  CONCRETE_INPUT,
};

// Returns the IR format of the selected stage for a given function `func_name`
// using library runtime `runtime` on a device `dev` with given
// `inputs_arg_shape_and_dtype` and `input_handles`.
absl::StatusOr<std::string> GetCompilerIr(
    IrExportStage stage, ProcessFunctionLibraryRuntime* pflr,
    absl::string_view func_name, Device* dev, EagerContext* context,

	// is sent. This stage is only generated for long-running requests (e.g. watch).
	StageResponseStarted Stage = "ResponseStarted"
	// The stage for events generated once the response body has been completed, and no more bytes
	// will be sent.
	StageResponseComplete Stage = "ResponseComplete"
	// The stage for events generated when a panic occurred.
	StagePanic Stage = "Panic"
)

import jetbrains.buildServer.configs.kotlin.buildSteps.script
import model.CIBuildModel
import model.Stage

/**
 * Build a Gradle distribution (dogfood-first) and use this distribution to build a distribution again (dogfood-second).
 * Use `dogfood-second` to run `test sanityCheck`.
 */
class Gradleception(
    model: CIBuildModel,
    stage: Stage,
    buildJvm: Jvm,
    jvmDescription: String,
    bundleGroovy4: Boolean = false,

import org.junit.Before;

import static org.junit.Assert.assertEquals;

public class PersonTest{

    Person person;
    @Before public void setup(){
        person = new Person();
    }

    @Test public void testAge() {
        person.setAge(30);
        assertEquals(30, person.getAge());
    }


    @Test public void testSurname() {
        person.setSurname("Duke");
        assertEquals("Duke", person.getSurname());

import jetbrains.buildServer.configs.kotlin.ParameterDisplay
import model.CIBuildModel
import model.PerformanceTestBuildSpec
import model.PerformanceTestType
import model.Stage

class PerformanceTest(
    model: CIBuildModel,
    stage: Stage,
    performanceTestBuildSpec: PerformanceTestBuildSpec,
    description: String,
    performanceSubProject: String,
    val testProjects: List<String>,
    val bucketIndex: Int,

	for _, test := range []struct {
		event    *auditinternal.Event
		expected string
	}{
		{
			&auditinternal.Event{
				AuditID: types.UID(uuid.New().String()),
			},
			`[\d\:\-\.\+TZ]+ AUDIT: id="[\w-]+" stage="" ip="<unknown>" method="" user="<none>" groups="<none>" as="<self>" asgroups="<lookup>" user-agent="" namespace="<none>" uri="" response="<deferred>"`,
		},
		{
			&auditinternal.Event{
				ResponseStatus: &metav1.Status{

	}
	return nil
}

func autoConvert_v1_Event_To_audit_Event(in *Event, out *audit.Event, s conversion.Scope) error {
	out.Level = audit.Level(in.Level)
	out.AuditID = types.UID(in.AuditID)
	out.Stage = audit.Stage(in.Stage)
	out.RequestURI = in.RequestURI
	out.Verb = in.Verb
	out.User = in.User
	out.ImpersonatedUser = (*authenticationv1.UserInfo)(unsafe.Pointer(in.ImpersonatedUser))

			Namespace: namespace,
			Subsystem: subsystem,
			Name:      "priority_level_seat_utilization",
			Help:      "Observations, at the end of every nanosecond, of utilization of seats for any stage of execution (but only initial stage for WATCHes)",
			// Buckets for both 0.99 and 1.0 mean PromQL's histogram_quantile will reveal saturation
			Buckets:        []float64{0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0.95, 0.99, 1},