- [Known Issues and Important Steps before Upgrading](#known-issues-and-important-steps-before-upgrading)
      - [ThirdPartyResource](#thirdpartyresource)
      - [kubectl](#kubectl)
      - [kubernetes Core Known Issues](#kubernetes-core-known-issues)
      - [Docker runtime Known Issues](#docker-runtime-known-issues)
      - [Rkt runtime Known Issues](#rkt-runtime-known-issues)
  - [Provider-specific Notes](#provider-specific-notes)

        int[] codes = (int[]) propMap.get(CRAWLER_FAILURE_URL_STATUS_CODES);
        if (codes == null) {
            codes = split(getCrawlerFailureUrlStatusCodes(), ",")
                    .get(stream -> stream.filter(StringUtil::isNotBlank).mapToInt(Integer::parseInt).toArray());
            propMap.put(CRAWLER_FAILURE_URL_STATUS_CODES, codes);
        }
        for (final int v : codes) {

        "//tensorflow/core/util:managed_stack_trace",
        "//tensorflow/core:all_kernels",
        "//tensorflow/core:core_cpu",
        "//tensorflow/core:direct_session",
        "//tensorflow/core:framework_internal",
        "//tensorflow/core:graph",
        "//tensorflow/core:lib",
        "//tensorflow/core:lib_internal",
        "//tensorflow/core:ops",
        "//tensorflow/core:reader_base",

					"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",

#include "tensorflow/core/lib/io/path.h"
#include "tensorflow/core/platform/path.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/resource_loader.h"
#include "tensorflow/core/platform/str_util.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/error_codes.pb.h"
#include "tensorflow/core/protobuf/meta_graph.pb.h"

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/c/tf_status.h"

/// This is the interop header between core TensorFlow and modular filesystem
/// plugins (see initial RFC https://github.com/tensorflow/community/pull/101).
///
/// Both core TensorFlow and every plugin will use this header. The associated
/// `.cc` file is only used by core TensorFlow to implement checking needed for

	ErrTooManyRequests
	ErrInvalidRequest
	ErrTransitionStorageClassNotFoundError
	// MinIO storage class error codes
	ErrInvalidStorageClass
	ErrBackendDown
	// Add new extended error codes here.
	// Please open a https://github.com/minio/minio/issues before adding
	// new error codes here.

	ErrMalformedJSON
	ErrAdminNoSuchUser
	ErrAdminNoSuchUserLDAPWarn
	ErrAdminLDAPExpectedLoginName

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;

}

// 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 != "" {