func (sys *NotificationSys) DownloadProfilingData(ctx context.Context, writer io.Writer) (profilingDataFound bool) {
	// Initialize a zip writer which will provide a zipped content
	// of profiling data of all nodes
	zipWriter := zip.NewWriter(writer)
	defer zipWriter.Close()

	for _, client := range sys.peerClients {
		if client == nil {
			continue
		}
		data, err := client.DownloadProfileData()
		if err != nil {

	var req ReadMultipleReq
	mr := msgpNewReader(r.Body)
	defer readMsgpReaderPoolPut(mr)
	err := req.DecodeMsg(mr)
	if err != nil {
		rw.CloseWithError(err)
		return
	}

	mw := msgp.NewWriter(rw)
	responses := make(chan ReadMultipleResp, len(req.Files))
	var wg sync.WaitGroup
	wg.Add(1)
	go func() {
		defer wg.Done()
		for resp := range responses {
			err := resp.EncodeMsg(mw)

java.io.IOException; public static java.io.Writer newPlatformWriter(java.io.OutputStream); public static java.io.Writer newPlatformWriter(java.io.File) throws java.io.IOException; public static java.io.Writer newWriter(java.io.OutputStream, String) throws java.io.UnsupportedEncodingE; public static java.io.Writer newWriter(java.io.File, String) throws java.io.UnsupportedEncodingE, java.io.FileNotFoundExceptio; static void <clinit>(); } org/codehaus/plexus/util/xml/CompactXMLWriter.class package org.codehaus.plexus.util.xml;...

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.ExportIAMAction)
	if objectAPI == nil {
		return
	}
	// Initialize a zip writer which will provide a zipped content
	// of bucket metadata
	zipWriter := zip.NewWriter(w)
	defer zipWriter.Close()
	rawDataFn := func(r io.Reader, filename string, sz int) error {
		header, zerr := zip.FileInfoHeader(dummyFileInfo{
			name:    filename,
			size:    int64(sz),
			mode:    0o600,

`,
	}
	exportContent := map[string][]byte{}
	for k, v := range exportContentStrings {
		exportContent[k] = []byte(v)
	}

	var importContent []byte
	{
		var b bytes.Buffer
		zipWriter := zip.NewWriter(&b)
		rawDataFn := func(r io.Reader, filename string, sz int) error {
			header, zerr := zip.FileInfoHeader(dummyFileInfo{
				name:    filename,
				size:    int64(sz),
				mode:    0o600,
				modTime: time.Now(),

		go func() {
			// Initialize MRF meta header.
			var data [4]byte
			binary.LittleEndian.PutUint16(data[0:2], mrfMetaFormat)
			binary.LittleEndian.PutUint16(data[2:4], mrfMetaVersion)
			mw := msgp.NewWriter(w)
			n, err := mw.Write(data[:])
			if err != nil {
				w.CloseWithError(err)
				return
			}
			if n != len(data) {
				w.CloseWithError(io.ErrShortWrite)
				return
			}

	Logger       func(error)
	ErrorHandler func(http.ResponseWriter, *http.Request, error)

	// internal variables
	rewriter *headerRewriter
}

// NewForwarder creates an instance of Forwarder based on the provided list of configuration options
func NewForwarder(f *Forwarder) *Forwarder {
	f.rewriter = &headerRewriter{}
	if f.RoundTripper == nil {
		f.RoundTripper = http.DefaultTransport
	}

	return f
}

     * lying about the fields below on the grounds that we always initialize them just after the
     * constructor -- an example of the kind of lying that our hypothetical bytecode rewriter would
     * already have to deal with, thanks to DI frameworks that perform field and method injection,
     * frameworks like Android that define post-construct hooks like Activity.onCreate, etc.
     */

#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/platform/tstring.h"
#include "tensorflow/core/protobuf/cluster.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include "tensorflow/core/protobuf/rewriter_config.pb.h"
#include "tensorflow/core/util/port.h"

using tensorflow::string;
using tensorflow::tstring;

TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx, float value) {
  float data[] = {value};

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

using tensorflow::string;

namespace {

void BM_InitOp(::testing::benchmark::State& state) {
  TF_Status* status = TF_NewStatus();