* Fix AAD support for Azure sovereign cloud in kubectl ([#72143](https://github.com/kubernetes/kubernetes/pull/72143), [@karataliu](https://github.com/karataliu))
* Fixed scanning of failed iSCSI targets. ([#74306](https://github.com/kubernetes/kubernetes/pull/74306), [@jsafrane](https://github.com/jsafrane))



# v1.13.5

[Documentation](https://docs.k8s.io)

    (`tf.keras.layers.experimental.preprocessing`) to handle data preprocessing
    operations such as categorical feature encoding, text vectorization, data
    normalization, and data discretization (binning). The newly added layers
    provide a replacement for the legacy feature column API, and support
    composite tensor inputs.
*   Added **categorical data** processing layers:

1F5FB..1F5FF  ; valid                  ;      ; NV8    # 6.0  MOUNT FUJI..MOYAI
1F600         ; valid                  ;      ; NV8    # 6.1  GRINNING FACE
1F601..1F610  ; valid                  ;      ; NV8    # 6.0  GRINNING FACE WITH SMILING EYES..NEUTRAL FACE
1F611         ; valid                  ;      ; NV8    # 6.1  EXPRESSIONLESS FACE

bytes long, ScalarMult returns an error // and the receiver is unchanged. func (p *P256Point) ScalarMult(q *P256Point, scalar []byte) (*P256Point, error) { s, err := new(p256OrdElement).SetBytes(scalar) if err != nil { return nil, err } // Start scanning the window from the most significant bits. We move by // 5 bits at a time and need to finish at -1, so -1 + 5 * 51 = 254. index := 254 sel, sign := boothW5(s.Rsh(index)) // sign is always zero because the boothW5 input here is at // most two bits...