rolling forward.
      The status has moved from annotation key
      `pods.beta.kubernetes.io/init-container-statuses` to
      `pods.beta.kubernetes.io/init-container-statuses`.
    * Any code that inspects this annotation should be changed to use the new key.
      State of Initialization will continue to be reported in both pods.alpha.kubernetes.io/initialized

						},
					},
				}},
			},
		},
		core.Pod{
			ObjectMeta: metav1.ObjectMeta{
				Name: "foo",
			},
		},
		"",
		"Container statuses pending",
	}, {
		core.Pod{
			ObjectMeta: metav1.ObjectMeta{
				Name: "foo",
			},
			Status: core.PodStatus{
				InitContainerStatuses: []core.ContainerStatus{{

	// visual priority than other resources.
	RowCompleted RowConditionType = "Completed"
)

type ConditionStatus string

// These are valid condition statuses. "ConditionTrue" means a resource is in the condition.
// "ConditionFalse" means a resource is not in the condition. "ConditionUnknown" means kubernetes

		if duration < time.Second {
			// Make sure to sleep at least a second to avoid high CPU ticks.
			duration = time.Second
		}
		time.Sleep(duration)
	}
}

// Loads bucket replication resync statuses into memory.
func (p *ReplicationPool) loadResync(ctx context.Context, buckets []BucketInfo, objAPI ObjectLayer) error {
	// Make sure only one node running resync on the cluster.
	ctx, cancel := globalLeaderLock.GetLock(ctx)

              StatusIs(absl::StatusCode::kInvalidArgument,
                       HasSubstr("Mismatched shape and data size")));
}

TEST_P(RuntimeTest, CreateHostTensorNonFullyDefinedShapeRaises) {
  Runtime runtime = RuntimeTest::GetParam()();
  EXPECT_THAT(runtime.CreateHostTensor<float>({-1}, TF_FLOAT, {2.0f}),
              StatusIs(absl::StatusCode::kInvalidArgument,

namespace tensorflow {
namespace {

using ::stablehlo::quantization::QuantizationConfig;
using ::stablehlo::quantization::io::CreateTmpDir;
using ::testing::HasSubstr;
using ::tsl::testing::IsOk;
using ::tsl::testing::StatusIs;

// Test cases for `RunQuantization` mainly tests for error cases because testing
// for successful cases require passing python implementation to
// `quantization_py_function_lib`, which requires testing from the python level.

#include "tsl/platform/status_matchers.h"
#include "tsl/protobuf/error_codes.pb.h"

namespace tensorflow {
namespace {

using ::testing::HasSubstr;
using ::testing::NotNull;
using ::tsl::testing::StatusIs;

PJRT_Buffer* CreateCBuffer() {
  auto status = pjrt::PjrtApi(DEVICE_CPU);
  if (!status.ok()) {
    CHECK_OK(pjrt::SetPjrtApi(DEVICE_CPU, GetPjrtApi()));
  }
  auto pjrt_client = xla::GetCApiClient(DEVICE_CPU);

using ::testing::Contains;
using ::testing::HasSubstr;
using ::testing::Key;
using ::testing::SizeIs;
using ::testing::StrEq;
using ::tsl::testing::IsOk;
using ::tsl::testing::StatusIs;

TEST(CreateRepresentativeDatasetFileMapTest,
     ConfigWithoutExplicitSignatureKeyMappedToServingDefault) {
  std::vector<RepresentativeDatasetConfig> representative_dataset_configs;

using ::tensorflow::calibrator::CalibrationStatisticsMap;
using ::testing::Contains;
using ::testing::ElementsAre;
using ::testing::HasSubstr;
using ::testing::Key;
using ::testing::SizeIs;
using ::tsl::testing::StatusIs;

class CalibrationStatisticsSaverTest : public OpsTestBase {};

TEST_F(CalibrationStatisticsSaverTest, MissingOutputPath) {
  std::vector<std::string> ids{"1"};
  std::vector<int32_t> calibration_methods{

using ::testing::Eq;
using ::testing::HasSubstr;
using ::testing::IsEmpty;
using ::testing::Not;
using ::testing::SizeIs;
using ::testing::UnorderedElementsAre;
using ::tsl::testing::IsOk;
using ::tsl::testing::StatusIs;

// A test-only derived class of `tsl::Env` which is broken. Used to cause
// failure for the `CreateTmpDir` function. Each of the overridden member
// functions implements a dummy functionality just to be able to create an