// 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

import okhttp3.logging.LoggingEventListener
import okhttp3.testing.PlatformRule
import okhttp3.tls.HandshakeCertificates
import okhttp3.tls.internal.TlsUtil.localhost
import okhttp3.zstd.Zstd
import okio.ByteString.Companion.toByteString
import org.bouncycastle.jce.provider.BouncyCastleProvider
import org.bouncycastle.jsse.provider.BouncyCastleJsseProvider
import org.conscrypt.Conscrypt

  "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)

	"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"

  // Process inputs.
  std::vector<tensorflow::OutputTensor> input_tensors;
  std::unordered_map<const Node*, std::vector<int>> input_nodes;
  status->status = tensorflow::ProcessInputs(fn_body, fn_name, ninputs, inputs,
                                             &input_tensors, &input_nodes);
  if (TF_GetCode(status) != TF_OK) return nullptr;

  // Process outputs.
  std::vector<tensorflow::OutputTensor> output_tensors;

  }

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,
      const std::vector<TF_Tensor*>& input_tensors,
      const absl::optional<std::vector<int64_t>>& expected_shape) {
    // Create input_shapes.
    TF_ShapeAndTypeList* input_shapes =

  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];

	PMXVI8GER4SPP VS1, VS2, $1, $2, $3, A1  // 07903012ec811318
	PNOP                                    // 0700000000000000
	PSTB R1, $1, 12345678(R2)               // 061000bc9822614e
	PSTD R1, $1, 12345678(R2)               // 041000bcf422614e
	PSTFD F1, $1, 12345678(R2)              // 061000bcd822614e
	PSTFS F1, $1, 123456789(R7)             // 0610075bd027cd15

			// - Internal and vendored packages do not contribute to our
			//   API surface. (If we are running within the "std" module,
			//   vendored dependencies appear as themselves instead of
			//   their "vendor/" standard-library copies.)
			// - 'go list std' does not include commands, which cannot be
			//   imported anyway.