// Add version and compress.
	_, err := dst.Write([]byte{dataUsageCacheVerCurrent})
	if err != nil {
		return err
	}
	enc, err := zstd.NewWriter(dst,
		zstd.WithEncoderLevel(zstd.SpeedFastest),
		zstd.WithWindowSize(1<<20),
		zstd.WithEncoderConcurrency(2))
	if err != nil {
		return err
	}
	mEnc := msgp.NewWriter(enc)
	err = d.EncodeMsg(mEnc)
	if err != nil {
		return err

			}
			// Test these compressor errors
			errs := []error{
				gzip.ErrHeader, gzip.ErrChecksum,
				s2.ErrCorrupt, s2.ErrUnsupported, s2.ErrCRC,
				zstd.ErrBlockTooSmall, zstd.ErrMagicMismatch, zstd.ErrWindowSizeExceeded, zstd.ErrUnknownDictionary, zstd.ErrWindowSizeTooSmall,
				lz4.ErrInvalid, lz4.ErrBlockDependency,
			}
			for _, e := range errs {
				if errors.Is(err, e) {

		}
		count++
	}
}

func Benchmark_mergeXLV2Versions(b *testing.B) {
	data, err := os.ReadFile("testdata/xl.meta-v1.2.zst")
	if err != nil {
		b.Fatal(err)
	}
	dec, _ := zstd.NewReader(nil)
	data, err = dec.DecodeAll(data, nil)
	if err != nil {
		b.Fatal(err)
	}

	var xl xlMetaV2
	if err = xl.LoadOrConvert(data); err != nil {
		b.Fatal(err)

	"crypto/tls"
	"encoding/hex"
	"errors"
	"fmt"
	"io"
	"net/http"
	"net/url"
	"os"
	"path"
	"path/filepath"
	"runtime"
	"strings"
	"sync/atomic"
	"time"

	"github.com/klauspost/compress/zstd"
	xhttp "github.com/minio/minio/internal/http"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/pkg/v2/env"
	xnet "github.com/minio/pkg/v2/net"
	"github.com/minio/selfupdate"

pkg crypto/x509, type RevocationList struct, RevokedCertificateEntries []RevocationListEntry #53573
pkg crypto/x509, type RevocationList struct, RevokedCertificates //deprecated #53573
pkg debug/elf, const COMPRESS_ZSTD = 2 #55107
pkg debug/elf, const COMPRESS_ZSTD CompressionType #55107
pkg debug/elf, const DF_1_CONFALT = 8192 #56887
pkg debug/elf, const DF_1_CONFALT DynFlag1 #56887
pkg debug/elf, const DF_1_DIRECT = 256 #56887

)

var codecs = map[string]sarama.CompressionCodec{
	"none":   sarama.CompressionNone,
	"gzip":   sarama.CompressionGZIP,
	"snappy": sarama.CompressionSnappy,
	"lz4":    sarama.CompressionLZ4,
	"zstd":   sarama.CompressionZSTD,
}

// KafkaArgs - Kafka target arguments.
type KafkaArgs struct {
	Enable     bool        `json:"enable"`
	Brokers    []xnet.Host `json:"brokers"`
	Topic      string      `json:"topic"`

		},
		config.HelpKV{
			Key:         target.KafkaCompressionCodec,
			Description: "specify compression_codec of the Kafka cluster",
			Optional:    true,
			Type:        "none|snappy|gzip|lz4|zstd",
		},
		config.HelpKV{
			Key:         target.KafkaCompressionLevel,
			Description: "specify compression level of the Kafka cluster",
			Optional:    true,
			Type:        "number",
		},
	}

  vector_handles.push_back(std::move(two_vector));
  vector_handles.push_back(std::move(three_vector));
  std::unique_ptr<ParallelTensor> unknown_length_vector =
      ParallelTensor::FromTensorHandles(
          parallel_device, std::move(vector_handles), status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  const std::vector<int64_t>* shape;
  TF_ASSERT_OK(unknown_length_vector->Shape(&shape));

template <typename Gradient>
class ForwardFunction
    : public std::function<Status(const std::vector<Gradient*>&,
                                  std::vector<Gradient*>*, bool)> {
 public:
  template <typename lambda_type>
  explicit ForwardFunction(lambda_type lambda)
      : std::function<Status(const std::vector<Gradient*>&,
                             std::vector<Gradient*>*, bool)>(lambda) {}
};

  InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def,
                     std::vector<ShapeHandle>(num_inputs), input_tensors_vector,
                     {},
                     std::vector<std::unique_ptr<std::vector<ShapeAndType>>>());

  // Set input_shapes.
  for (int i = 0; i < num_inputs; ++i) {
    std::vector<DimensionHandle> dims;
    const TF_ShapeAndType& input_shape = input_shapes->items[i];