WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/


// This file was autogenerated by go-to-protobuf. Do not edit it manually!

syntax = "proto2";

package k8s.io.api.scheduling.v1alpha1;

import "k8s.io/api/core/v1/generated.proto";
import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";

#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/resource_loader.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace tensorflow {
namespace {

TEST(CAPI_EXPERIMENTAL, GetServerDefTest) {
  const string expected_text_proto(R"(cluster {
  job {
    name: "worker"
    tasks {
      key: 0

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

namespace {

using ::tensorflow::string;

void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index) {

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/


// This file was autogenerated by go-to-protobuf. Do not edit it manually!

syntax = "proto2";

package k8s.io.api.scheduling.v1;

import "k8s.io/api/core/v1/generated.proto";
import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/


// This file was autogenerated by go-to-protobuf. Do not edit it manually!

syntax = "proto2";

package k8s.io.api.node.v1;

import "k8s.io/api/core/v1/generated.proto";
import "k8s.io/apimachinery/pkg/api/resource/generated.proto";

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/


// This file was autogenerated by go-to-protobuf. Do not edit it manually!

syntax = "proto2";

package k8s.io.api.coordination.v1;

import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";
import "k8s.io/apimachinery/pkg/runtime/generated.proto";

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/


// This file was autogenerated by go-to-protobuf. Do not edit it manually!

syntax = "proto2";

package k8s.io.api.scheduling.v1beta1;

import "k8s.io/api/core/v1/generated.proto";
import "k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto";

func (c *ConfigWriter) Prime(b []byte) error {
	zDump := &ZtunnelDump{}
	rawDump := &rawDump{}
	// TODO(fisherxu): migrate this to jsonpb when issue fixed in golang
	// Issue to track -> https://github.com/golang/protobuf/issues/632
	err := json.Unmarshal(b, rawDump)
	if err != nil {
		return fmt.Errorf("error unmarshalling config dump response from ztunnel: %v", err)
	}
	// ensure that data gets unmarshalled into the right data type

	hcm "github.com/envoyproxy/go-control-plane/envoy/extensions/filters/network/http_connection_manager/v3"
	rbactcp "github.com/envoyproxy/go-control-plane/envoy/extensions/filters/network/rbac/v3"
	"google.golang.org/protobuf/proto"

	"istio.io/istio/pkg/log"
	"istio.io/istio/pkg/wellknown"
)

const (
	anonymousName = "_anonymous_match_nothing_"
)

#include "tensorflow/core/platform/strcat.h"
#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;