#ifndef TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_

#include "absl/container/inlined_vector.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

// Attributes of an op.
class AbstractOpAttrs {
 protected:
  enum AbstractOpAttrsKind { kEager, kTfrt };

    </RequestProgress>
</SelectObjectContentRequest>
`)

	csvData := genSampleCSVData(count)

	b.ResetTimer()
	b.ReportAllocs()
	b.SetBytes(int64(count))

	b.RunParallel(func(pb *testing.PB) {
		for pb.Next() {
			s3Select, err := NewS3Select(bytes.NewReader(requestXML))
			if err != nil {
				b.Fatal(err)
			}

			if err = s3Select.Open(newBytesRSC(csvData)); err != nil {
				b.Fatal(err)

        try {
            ProcessBuilder pb = new ProcessBuilder()
                    .directory(invokerRequest.cwd().toFile())
                    .command(cmdAndArguments);

            if (invokerRequest.jvmArguments().isPresent()) {
                pb.environment()
                        .put(
                                "MAVEN_OPTS",

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"fmt"
	"runtime"
	"strings"
	"time"

	"github.com/cheggaaa/pb"
	humanize "github.com/dustin/go-humanize"
	"github.com/minio/minio/internal/color"
)

// prepareUpdateMessage - prepares the update message, only if a
// newer version is available.

			Curve: curve,
			X:     &x,
			Y:     &y,
		}, nil
	default:
		if key.Alg == "EdDSA" && key.Crv == "Ed25519" && key.X != "" {
			pb, err := base64.RawURLEncoding.DecodeString(key.X)
			if err != nil {
				return nil, errMalformedJWKECKey
			}
			return ed25519.PublicKey(pb), nil
		}
		return nil, fmt.Errorf("Unknown JWK key type %s", key.Kty)
	}

	b.ReportAllocs()
	// the actual benchmark for PutObject starts here. Reset the benchmark timer.
	b.ResetTimer()

	b.RunParallel(func(pb *testing.PB) {
		i := 0
		for pb.Next() {
			// insert the object.
			objInfo, err := obj.PutObject(context.Background(), bucket, "object"+strconv.Itoa(i),

            }

            final JobProcess jobProcess = processHelper.startProcess(sessionId, cmdList, pb -> {
                pb.directory(baseDir);
                pb.redirectErrorStream(true);
            });

            final InputStreamThread it = jobProcess.getInputStreamThread();
            it.start();

                logger.info("SuggestCreator: \nDirectory={}\nOptions={}", baseDir, cmdList);
            }

            final JobProcess jobProcess = processHelper.startProcess(sessionId, cmdList, pb -> {
                pb.directory(baseDir);
                pb.redirectErrorStream(true);
            });

            final InputStreamThread it = jobProcess.getInputStreamThread();
            it.start();

}

// Borrowed from rwmutex_test.go
func benchmarkRWMutex(b *testing.B, localWork, writeRatio int) {
	b.ResetTimer()
	b.ReportAllocs()

	b.RunParallel(func(pb *testing.PB) {
		foo := 0
		for pb.Next() {
			rwm := NewDRWMutex(ds, "test")
			foo++
			if foo%writeRatio == 0 {
				rwm.Lock(id, source)
				rwm.Unlock(context.Background())
			} else {
				rwm.RLock(id, source)

#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/cluster.pb.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

tensorflow::ServerDef GetServerDef(const std::string& job_name, int num_tasks) {
  tensorflow::ServerDef server_def;
  server_def.set_protocol("grpc");
  server_def.set_job_name(job_name);