Name   string
	Type   uint32
	Code   []byte
}

type wasmFuncType struct {
	Params  []byte
	Results []byte
}

func readWasmImport(ldr *loader.Loader, s loader.Sym) obj.WasmImport {
	reportError := func(err error) { panic(fmt.Sprintf("failed to read WASM import in sym %v: %v", s, err)) }

	data := ldr.Data(s)

	readUint32 := func() (v uint32) {
		v = binary.LittleEndian.Uint32(data)
		data = data[4:]

	resolver.ClientConn
	stateCh chan resolver.State
	errorCh chan error
}

func (t *testClientConn) UpdateState(s resolver.State) error {
	t.stateCh <- s
	return nil
}

func (t *testClientConn) ReportError(err error) {
	t.errorCh <- err
}

func (t *testClientConn) ParseServiceConfig(jsonSC string) *serviceconfig.ParseResult {
	// Will be called with something like:
	// {"loadBalancingConfig":[

   *     new FutureCallback<QueryResult>() {
   *       public void onSuccess(QueryResult result) {
   *         storeInCache(result);
   *       }
   *       public void onFailure(Throwable t) {
   *         reportError(t);
   *       }
   *     }, executor);
   * }</pre>
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See

   *     new FutureCallback<QueryResult>() {
   *       public void onSuccess(QueryResult result) {
   *         storeInCache(result);
   *       }
   *       public void onFailure(Throwable t) {
   *         reportError(t);
   *       }
   *     }, executor);
   * }</pre>
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See

        "Coordination service is not enabled.");
    return;
  }
  tensorflow::Status s(static_cast<absl::StatusCode>(error_code),
                       error_message);
  status->status = coord_agent->ReportError(s);
}

void TFE_GetTaskStates(TFE_Context* ctx, const TF_Buffer& tasks, void* states,
                       TF_Status* status) {
  tensorflow::ImmediateExecutionDistributedManager* dist_mgr =

   *     new FutureCallback<QueryResult>() {
   *       public void onSuccess(QueryResult result) {
   *         storeInCache(result);
   *       }
   *       public void onFailure(Throwable t) {
   *         reportError(t);
   *       }
   *     }, e);
   * }</pre>
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See

   *     new FutureCallback<QueryResult>() {
   *       public void onSuccess(QueryResult result) {
   *         storeInCache(result);
   *       }
   *       public void onFailure(Throwable t) {
   *         reportError(t);
   *       }
   *     }, e);
   * }</pre>
   *
   * <p>When selecting an executor, note that {@code directExecutor} is dangerous in some cases. See

        WorkValidationContext validationContext = validateNode(node);
        List<? extends Problem> problems = validationContext.getProblems();
        logWarnings(problems);
        reportErrors(problems, node.getTask(), validationContext);
        return !problems.isEmpty();
    }

    private WorkValidationContext validateNode(LocalTaskNode node) {

                                            bool report_error = true);

// Encodes the sharding in human readable form.
mlir::LogicalResult DecodeShardingAttribute(mlir::Attribute shard_attr,
                                            xla::OpSharding& sharding,
                                            bool report_error = true);

// Parses the sharding attr. This sharding attr can be binary (serialized)

        getDocumentationRoot().getAsFileTree().matching(pattern -> pattern.include("**/*.adoc")).forEach(file -> {
            gatherDeadLinksInFile(file, errors);
        });
        reportErrors(errors, getReportFile().get().getAsFile());
    }

    private void reportErrors(Map<File, List<Error>> errors, File reportFile) {
        try (PrintWriter fw = new PrintWriter(new FileWriter(reportFile))) {
            writeHeader(fw);