#include "tensorflow/c/tensor_interface.h"
#include "tensorflow/core/framework/cancellation.h"
#include "tensorflow/core/framework/device_attributes.pb.h"
#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/util/managed_stack_trace.h"

struct TFE_Op;

        if (size.divide(ONE_EB_BI).compareTo(BigInteger.ZERO) > 0) {
            displaySize = new BigDecimal(size.divide(ONE_PB_BI)).divide(BigDecimal.valueOf(1000)) + "EB";
        } else if (size.divide(ONE_PB_BI).compareTo(BigInteger.ZERO) > 0) {
            displaySize = new BigDecimal(size.divide(ONE_TB_BI)).divide(BigDecimal.valueOf(1000)) + "PB";
        } else if (size.divide(ONE_TB_BI).compareTo(BigInteger.ZERO) > 0) {

				b.ResetTimer()
				t := time.Now()
				var ops int64
				var lat int64
				b.SetParallelism(par)
				b.RunParallel(func(pb *testing.PB) {
					rng := rand.New(rand.NewSource(time.Now().UnixNano()))
					n := 0
					var latency int64
					managers := grid.Managers
					hosts := grid.Hosts
					for pb.Next() {
						// Pick a random manager.
						src, dst := rng.Intn(len(managers)), rng.Intn(len(managers))
						if src == dst {

	creds := globalActiveCred
	token, err := authenticateNode(creds.AccessKey, creds.SecretKey, "")
	if err != nil {
		b.Fatal(err)
	}

	b.ResetTimer()
	b.ReportAllocs()
	b.RunParallel(func(pb *testing.PB) {
		for pb.Next() {
			err = xjwt.ParseWithStandardClaims(token, xjwt.NewStandardClaims(), []byte(creds.SecretKey))
			if err != nil {
				b.Fatal(err)
			}
		}
	})
}

        return new ProjectBuildList(
                items.stream().filter(pb -> taskSegment == pb.getTaskSegment()).collect(Collectors.toList()));
    }

    public Map<MavenProject, ProjectSegment> selectSegment(TaskSegment taskSegment) {
        return items.stream()
                .filter(pb -> taskSegment == pb.getTaskSegment())
                .collect(Collectors.toMap(ProjectSegment::getProject, Function.identity()));

		<-c
	}
}

func BenchmarkMutexUncontended(b *testing.B) {
	b.ResetTimer()
	b.ReportAllocs()

	type PaddedMutex struct {
		*DRWMutex
	}
	b.RunParallel(func(pb *testing.PB) {
		mu := PaddedMutex{NewDRWMutex(ds, "")}
		for pb.Next() {
			mu.Lock(id, source)
			mu.Unlock(context.Background())
		}
	})
}

func benchmarkMutex(b *testing.B, slack, work bool) {
	b.ResetTimer()
	b.ReportAllocs()

    </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)

            }

            final JobProcess jobProcess = processHelper.startProcess(sessionId, cmdList, pb -> {
                pb.directory(baseDir);
                pb.redirectErrorStream(true);
                final Map<String, String> environment = pb.environment();
                environment.put("SESSION_ID", sessionId);

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#include "tensorflow/core/platform/errors.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/cluster.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace {

using ::tensorflow::string;

void TestRemoteExecute(bool async) {
  tensorflow::ServerDef server_def = GetServerDef(2);