//
	// cluster/group/kind/namespace/name/section-name
	//
	// As an example, a ServiceEntry with two WorkloadEntries inlined could become
	// two Workloads with the following UIDs:
	// - cluster1/networking.istio.io/v1alpha3/ServiceEntry/default/external-svc/endpoint1
	// - cluster1/networking.istio.io/v1alpha3/ServiceEntry/default/external-svc/endpoint2
	//

  # Ensure TasksMax is sufficient for docker.
  # (https://github.com/kubernetes/kubernetes/issues/51977)
  echo "Extend the docker.service configuration to set a higher pids limit"
  mkdir -p /etc/systemd/system/docker.service.d
  cat <<EOF >/etc/systemd/system/docker.service.d/01tasksmax.conf
[Service]
TasksMax=infinity
EOF

    systemctl daemon-reload

	}
}

// mismatchingSigAlgIDPEM contains a certificate where the Certificate
// signatureAlgorithm and the TBSCertificate signature contain
// mismatching OIDs
const mismatchingSigAlgIDPEM = `-----BEGIN CERTIFICATE-----
MIIBBzCBrqADAgECAgEAMAoGCCqGSM49BAMCMAAwIhgPMDAwMTAxMDEwMDAwMDBa
GA8wMDAxMDEwMTAwMDAwMFowADBZMBMGByqGSM49AgEGCCqGSM49AwEHA0IABOqV

^#¿lêG{% )b— ¾:9º] % ‰CwTŽW `çºs(F% yd `š’¾!!) Ž7*"…?ÖF % G¸ñž][-ì t6xE ò œ[¼@[ìÔˆ^ ±´±:ê #: ˆQ/’ vCø @ M¸ëÒuï“ $ˆh‰Ÿ‰&¨5 ê‰Ëù²LpzÛ!vâËàµÍ¼ w.Ñ R¢‡ç0 # ìÑ3ÈÓà mzZsœõ!Ê'¥G -Q \@øðO1 ¹ Þ~'= •²ÅÏá§ØèØ“àH† ð3&å C_Œé¿ö ÈW = ±zÆ› ŽŒ+6÷ä ³Ò¹Of5 ÿ 5¼} Ïa0Y×­2 "gÎðÐ £ G à’ºµ mž?zV ¤DÅ tõÇ» "ÑK †båL‹ ´ I5 R n Í ƒ`?. ,cØÅô™çï±~ âJ’E[zô"…ì#9Î é†`#Èá AU(¿ù# ëŸ Õyò˜3 59ÄO½ŒX ¯#äÓZï Ñ–g1 bœŽENkƒ '…m å Ñó¤â‰7X= o=è»=%ä›Òû´¿©]ÁŽ ® £a 3°¹ multisitea/data/disterasure/xl5/.minio.sys/pool.bin/xl.meta XL2 Æ w Ä$•Ä Ó ÉŸþ¥¹...

            "type": "string"
          }
        },
        "type": "object"
      },
      "io.k8s.apimachinery.pkg.apis.meta.v1.OwnerReference": {

embedding_indices and aggregation_weights into rows.
It corresponds to ids.row_splits in embedding_lookup(), when ids is a
RaggedTensor.}]>:$sample_splits,
    Arg<Variadic<TF_I32OrI64Tensor>, [{A list of rank 1 Tensors, indices into the embedding tables.
It corresponds to ids.values in embedding_lookup(), when ids is a RaggedTensor.}]>:$embedding_indices,

message LinuxContainerUser {
  // UID is the primary uid initially attached to the first process in the container
  optional int64 uid = 1;

  // GID is the primary gid initially attached to the first process in the container
  optional int64 gid = 2;

  // SupplementalGroups are the supplemental groups initially attached to the first process in the container
  // +optional
  // +listType=atomic

    *   Benchmark for tf.scan in graph and eager modes.
    *   Added complex128 support to FFT, FFT2D, FFT3D, IFFT, IFFT2D, and IFFT3D.
    *   Making ids unique in `nn.embedding_lookup_sparse`. This helps to reduce
        RPC calls for looking up the embeddings when there are repeated ids in
        the batch.
    *   Support indicator column in boosted trees.
    *   Prevent `tf.gradients()` from backpropagating through integer tensors.