}
			meta, err := model.ParseMetadata(clientConfig.GetNode().GetMetadata())
			if err != nil {
				return nil, nil, fmt.Errorf("could not parse node metadata: %w", err)
			}
			if s.Namespace != "" && meta.Namespace != s.Namespace {
				continue
			}
			cds, lds, eds, rds, ecds := getSyncStatus(&clientConfig)
			cp := multixds.CpInfo(dr)
			fullStatus = append(fullStatus, &xdsWriterStatus{

#include <cstdint>

#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

TFE_MonitoringCounter0* CreateCounter0(const char* counter_name);
TFE_MonitoringCounter1* CreateCounter1(const char* counter_name,
                                       const char* label);

  // scope represents if this refers to a cluster or namespace scoped resource.
  // This may be set to "Cluster" (default) or "Namespace".
  optional string scope = 4;

  // namespace is the namespace of the resource being referenced. This field is
  // required when scope is set to "Namespace" and must be unset when scope is set to
  // "Cluster".
  // +optional
  optional string namespace = 5;
}

  optional string name = 3;

  // scope represents if this refers to a cluster or namespace scoped resource.
  // This may be set to "Cluster" (default) or "Namespace".
  // +optional
  optional string scope = 4;

  // namespace is the namespace of the resource being referenced. This field is
  // required when scope is set to "Namespace" and must be unset when scope is set to
  // "Cluster".
  // +optional

  // It is up to each webhook backend to determine how to interpret these annotations, if at all.
  // +optional
  map<string, string> annotations = 2;

  // Namespace is the namespace the pod is being created in.
  // +optional
  optional string namespace = 3;
}

// ImageReviewStatus is the result of the review for the pod creation request.
message ImageReviewStatus {

#include <vector>

#include "absl/strings/str_join.h"
#include "include/dlpack/dlpack.h"  // from @dlpack
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

void TestHandleFromDLPack(TF_Status* status, TFE_Context* ctx,
                          std::vector<int64_t> shape,
                          std::vector<int64_t> strides) {
  size_t num_elements = 1;

}

namespace internal {
struct AbstractOperationDeleter {
  void operator()(AbstractOperation* p) const {
    if (p != nullptr) {
      p->Release();
    }
  }
};
}  // namespace internal

using AbstractOperationPtr =
    std::unique_ptr<AbstractOperation, internal::AbstractOperationDeleter>;

}  // namespace tensorflow

 private:
  const AbstractContextKind kind_;
};

namespace internal {
struct AbstractContextDeleter {
  void operator()(AbstractContext* p) const {
    if (p != nullptr) {
      p->Release();
    }
  }
};
}  // namespace internal

using AbstractContextPtr =
    std::unique_ptr<AbstractContext, internal::AbstractContextDeleter>;

}  // namespace tensorflow

#define TENSORFLOW_C_EAGER_PARALLEL_DEVICE_PARALLEL_DEVICE_H_

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"

namespace tensorflow {
namespace parallel_device {

// Allocate a parallel device named `device_name` which forwards operations to
// `underlying_devices`, maintaining "parallel tensors" with components placed
// on each underlying device.
//

limitations under the License.
==============================================================================*/

#include "tensorflow/c/eager/abstract_tensor_handle.h"

namespace tensorflow {

std::string AbstractTensorHandle::DebugString() const {
  PartialTensorShape shape;
  absl::Status s = Shape(&shape);
  std::string shape_string;
  if (!s.ok()) {