// Performs various checks.
Status ComputeBodyNodes(
    const TF_Graph* fn_body, const char* fn_name, int num_opers,
    const TF_Operation* const* opers,
    const std::unordered_map<const Node*, std::vector<int>>& input_nodes,
    std::vector<const Node*>* body_nodes)
    TF_EXCLUSIVE_LOCKS_REQUIRED(fn_body->mu) {
  if (num_opers == -1) {
    for (const Node* node : fn_body->graph.op_nodes()) {
      const auto& iter = input_nodes.find(node);

	vs := []struct {
		call           string
		fn             func() error
		filter, expect string
	}{
		{call: "Setegid(1)", fn: func() error { return syscall.Setegid(1) }, filter: "Gid:", expect: "\t0\t1\t0\t1"},
		{call: "Setegid(0)", fn: func() error { return syscall.Setegid(0) }, filter: "Gid:", expect: "\t0\t0\t0\t0"},

set -e

WD=$(dirname "$0")
WD=$(cd "$WD"; pwd)

for fn in "$@"; do
  if ! grep -L -q -e "Apache License, Version 2" -e "Copyright" "${fn}"; then
    if [[ "${fn}" == *.go || "${fn}" == *.rs ]]; then
      newfile=$(cat "${WD}/copyright-banner-go.txt" "${fn}")
      echo "${newfile}" > "${fn}"
      echo "Fixing license: ${fn}"
    else
      echo "Cannot fix license: ${fn}. Unknown file type"
    fi
  fi

    }

    AbstractOperationPtr fn_op(ctx->CreateOperation());
    TF_RETURN_IF_ERROR(fn_op->Reset(fn_name, /*raw_device_name=*/nullptr));
    for (auto input : inputs) {
      TF_RETURN_IF_ERROR(fn_op->AddInput(input));
    }
    int retvals = outputs.size() - null_indices.size();
    std::vector<AbstractTensorHandle*> fn_outputs(retvals);
    TF_RETURN_IF_ERROR(fn_op->Execute(

}

func (p *processor) Register(name string, fn func(*DB)) error {
	return (&callback{processor: p}).Register(name, fn)
}

func (p *processor) Remove(name string) error {
	return (&callback{processor: p}).Remove(name)
}

func (p *processor) Replace(name string, fn func(*DB)) error {
	return (&callback{processor: p}).Replace(name, fn)
}

func (p *processor) compile() (err error) {

  private inline fun <T> assertOnFileDescriptor(
    content: String? = null,
    fn: (FileDescriptor) -> T,
  ): T {
    return assertOnPath(content) {
      FileInputStream(filePath.toFile()).use { fis ->
        fn(fis.fd)
      }
    }
  }

  private inline fun <T> assertOnPath(
    content: String? = null,
    fn: (okio.Path) -> T,
  ): T {
    FileSystem.SYSTEM.write(filePath) {

  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  // Build the abstract op to run the function.
  TF_AbstractOp* fn_op = TF_NewAbstractOp(eager_execution_ctx);
  TF_AbstractOpSetOpType(fn_op, fn_name.c_str(), status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  // Build an abstract input tensor.
  TFE_Context* eager_ctx =

	creds := globalActiveCred
	b.Run("uncached", func(b *testing.B) {
		fn := authenticateNode
		b.ResetTimer()
		b.ReportAllocs()
		for i := 0; i < b.N; i++ {
			fn(creds.AccessKey, creds.SecretKey, "aud")
		}
	})
	b.Run("cached", func(b *testing.B) {
		fn := newCachedAuthToken()
		b.ResetTimer()
		b.ReportAllocs()
		for i := 0; i < b.N; i++ {
			fn("aud")
		}
	})

}

void TF_DeleteFunctionLibraryDefinition(TF_FunctionLibraryDefinition* fn_lib) {
  if (fn_lib == nullptr) return;
  delete reinterpret_cast<tensorflow::FunctionLibraryDefinition*>(fn_lib);
}

void TF_LookUpOpDef(TF_FunctionLibraryDefinition* fn_lib, const char* name,
                    TF_Buffer* buf, TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");

					fn := fmt.Sprintf("%s-%s.data", file, name)
					if c.Bool("combine") {
						if name == "null" {
							name = v0
						}

						f := filemap[file][name]
						if f != "" {
							fn = f + ".data"
							err = os.MkdirAll(filepath.Dir(fn), os.ModePerm)
							if err != nil {
								fmt.Println("MkdirAll:", filepath.Dir(fn), err)
							}