pkg crypto, type Encapsulator interface, Bytes() []uint8 #75300
pkg crypto, type Encapsulator interface, Encapsulate() ([]uint8, []uint8) #75300
pkg crypto/ecdh, type KeyExchanger interface { Curve, ECDH, PublicKey } #75300
pkg crypto/ecdh, type KeyExchanger interface, Curve() Curve #75300
pkg crypto/ecdh, type KeyExchanger interface, ECDH(*PublicKey) ([]uint8, error) #75300
pkg crypto/ecdh, type KeyExchanger interface, PublicKey() *PublicKey #75300

); err != nil { return nil, err } return &PublicKey{curve: c.curve, q: bytes.Clone(key)}, nil } func ECDH[P Point[P]](c *Curve[P], k *PrivateKey, peer *PublicKey) ([]byte, error) { fipsSelfTest() fips140.RecordApproved() return ecdh(c, k, peer) } func ecdh[P Point[P]](c *Curve[P], k *PrivateKey, peer *PublicKey) ([]byte, error) { if c.curve != k.pub.curve { return nil, errors.New("crypto/ecdh: mismatched curves") } if k.pub.curve != peer.curve { return nil, errors.New("crypto/ecdh: mismatched curves")...

- Add --tls-curve-preferences flag for configuring TLS key exchange mechanism ([#137115](https://github.com/kubernetes/kubernetes/pull/137115), [@damdo](https://github.com/damdo)) [SIG API Machinery, Architecture, CLI, Cloud Provider, Node and Testing]

    *   Add `tf.keras.layers.AbstractRNNCell` as the preferred implementation
        for RNN cells in TF v2. User can use it to implement RNN cells with
        custom behavior.
    *   Keras training and validation curves are shown on the same plot when
        using the TensorBoard callback.
    *   Switched Keras `fit/evaluate/predict` execution to use only a single
        unified path by default unless eager execution has been explicitly