// 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.ErrInvalidFrame, lz4.ErrInvalidBlockChecksum, lz4.ErrInvalidFrameChecksum, lz4.ErrInvalidFrameChecksum,

  "userAgent": "MinIO (linux; amd64) minio-go/v7.0.70 mc/RELEASE.2024-04-30T17-44-48Z",
  "requestPath": "/testbucket/hosts",
  "requestHost": "localhost:9000",
  "requestHeader": {
    "Accept-Encoding": "zstd,gzip",

		}
		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)

)

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"`

	"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/v3/env"
	xnet "github.com/minio/pkg/v3/net"
	"github.com/minio/selfupdate"

		},
		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",
		},
		config.HelpKV{

  absl::Status Shape(const std::vector<int64_t>** shape) const;
  TF_DataType dtype() const { return dtype_; }

  // Sets its output argument to a summary of the values of this tensor on every
  // component device.
  absl::Status SummarizeValue(std::string& summary);

  std::vector<TensorHandlePtr> release_tensors() { return std::move(tensors_); }

  std::vector<TFE_TensorHandle*> tensors() const {

}

TEST(CUSTOM_DEVICE, MakeVariable) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts(
      TFE_NewContextOptions(), TFE_DeleteContextOptions);
  std::unique_ptr<TFE_Context, decltype(&TFE_DeleteContext)> context(

namespace parallel_device {

using ::testing::HasSubstr;

TEST(PARALLEL_DEVICE, TestBasicCPU) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts(
      TFE_NewContextOptions(), TFE_DeleteContextOptions);
  std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> config(
      TF_CreateConfig(