)

var magicHeaders = []struct {
	header []byte
	f      format
}{
	{
		header: []byte{0x1f, 0x8b, 8},
		f:      formatGzip,
	},
	{
		// Zstd default header.
		header: []byte{0x28, 0xb5, 0x2f, 0xfd},
		f:      formatZstd,
	},
	{
		// Zstd skippable frame header.
		header: []byte{0x2a, 0x4d, 0x18},
		f:      formatZstd,
	},
	{
		// LZ4
		header: []byte{0x4, 0x22, 0x4d, 0x18},
		f:      formatLZ4,

	// 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,

			pbzip2.BZConcurrencyPool(bz2Limiter),
		))
		pr.closer = &nopReadCloser{fn: cancel}
	case zstdType:
		// Set a max window of 64MB. More than reasonable.
		zr, err := zstd.NewReader(scannedReader, zstd.WithDecoderConcurrency(2), zstd.WithDecoderMaxWindow(64<<20))
		if err != nil {
			return nil, errInvalidCompression(err, compType)
		}
		r = zr
		pr.closer = zr.IOReadCloser()
	case lz4Type:

)

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"`

		},
		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{

	"encoding/json"
	"errors"
	"fmt"
	"io"
	"net/http"
	"net/url"
	"strconv"
	"strings"
	"sync"
	"sync/atomic"
	"time"

	"github.com/dustin/go-humanize"
	"github.com/klauspost/compress/zstd"
	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio/internal/bucket/bandwidth"
	b "github.com/minio/minio/internal/bucket/bandwidth"
	"github.com/minio/minio/internal/event"
	"github.com/minio/minio/internal/grid"

  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 {

namespace gradients {
namespace internal {
namespace {
using std::vector;
using tensorflow::TF_StatusPtr;
using tracing::TracingOperation;

class CppGradients
    : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> {
 protected:
  void SetUp() override {
    TF_StatusPtr status(TF_NewStatus());
    TF_SetTracingImplementation(std::get<0>(GetParam()), status.get());

 public:
  NamedParallelDevice(const std::string& name,
                      std::unique_ptr<ParallelDevice> parallel_device)
      : device_name_(name), parallel_device_(std::move(parallel_device)) {}
  const std::string& name() const { return device_name_; }
  const ParallelDevice& device() const { return *parallel_device_; }

 private:
  std::string device_name_;
  std::unique_ptr<ParallelDevice> parallel_device_;
};