pods, err := client.Kube().CoreV1().Pods(ns).List(context.TODO(), metav1.ListOptions{
					LabelSelector: strings.Join(labels, ","),
				})
				if err != nil {
					return err
				}
				selectedPodCount = len(pods.Items)
				for _, pod := range pods.Items {
					if pod.Status.Phase != corev1.PodRunning {
						fmt.Printf("   Pod is not %s (%s)\n", corev1.PodRunning, pod.Status.Phase)
						continue
					}

		// for yaml output we will convert the json to yaml when printed
		path += "?format=json"
	case prometheusOutput:
		path += "/prometheus"
	case prometheusMergedOutput:
		pod, err := kubeClient.Kube().CoreV1().Pods(podNamespace).Get(context.Background(), podName, metav1.GetOptions{})
		if err != nil {
			return "", fmt.Errorf("failed to retrieve Pod %s/%s: %v", podNamespace, podName, err)
		}

        "//tensorflow/core/platform:path",
        "//tensorflow/core/platform:stacktrace_handler",
        "//tensorflow/core/platform:statusor",
        "//tensorflow/core/platform:stringpiece",
        "//tensorflow/core/platform:types",
        "//tensorflow/core/profiler/internal:print_model_analysis",
        "//tensorflow/core/profiler/lib:traceme",

					"build-cache-spi",
					"build-configuration",
					"build-events",
					"build-init",
					"build-profile",
					"composite-builds",
					"configuration-cache",
					"core",
					"core-api",
					"declarative-dsl-core",
					"declarative-dsl-provider",
					"dependency-management",
					"diagnostics",
					"ear",
					"enterprise",
					"execution",
					"execution-e2e-tests",

flow/core/tfrt/tfrt_session,tensorflow/core/tfrt/mlrt,tensorflow/core/tfrt/mlrt/attribute,tensorflow/core/tfrt/mlrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/test...

#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/partial_tensor_shape.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor.pb.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/graph/tensor_id.h"
#include "tensorflow/core/lib/core/status_test_util.h"

}

// ReplicateFromSource - this is not implemented yet where source is 'remote' and target is local.
func (r *BatchJobReplicateV1) ReplicateFromSource(ctx context.Context, api ObjectLayer, core *miniogo.Core, srcObjInfo ObjectInfo, retry bool) error {
	srcBucket := r.Source.Bucket
	tgtBucket := r.Target.Bucket
	srcObject := srcObjInfo.Name
	tgtObject := srcObjInfo.Name
	if r.Target.Prefix != "" {

#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/strcat.h"
#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 {

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.beans.util.BeanUtil;
import org.codelibs.core.exception.ResourceNotFoundRuntimeException;
import org.codelibs.core.io.FileUtil;
import org.codelibs.core.io.ResourceUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.lang.ThreadUtil;
import org.codelibs.curl.CurlResponse;
import org.codelibs.fesen.client.EngineInfo;

import javax.naming.directory.Attribute;
import javax.naming.directory.BasicAttribute;

import org.codelibs.core.exception.ClassNotFoundRuntimeException;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.misc.Pair;
import org.codelibs.core.misc.Tuple3;
import org.codelibs.core.misc.Tuple4;
import org.codelibs.fess.Constants;
import org.codelibs.fess.helper.PermissionHelper;