transition canned Estimators that are warm started from
        `tf.train.Optimizers` to `tf.keras.optimizers`.
    *   Losses are scaled in canned estimator v2 and not in the optimizers
        anymore. If you are using Estimator + distribution strategy + optimikzer
        v1 then the behavior does not change. This implies that if you are using
        custom estimator with optimizer v2, you have to scale losses. We have

- Cloud provider config CloudProviderBackoffMode has been removed since it won't be used anymore. ([#88463](https://github.com/kubernetes/kubernetes/pull/88463), [@feiskyer](https://github.com/feiskyer)) [SIG Cloud Provider]

* 📝 Update TrustedHostMiddleware Documentation. PR [#11441](https://github.com/fastapi/fastapi/pull/11441) by [@soulee-dev](https://github.com/soulee-dev).
* 📝 Remove links to site callbackhell.com that doesn't exist anymore. PR [#14006](https://github.com/fastapi/fastapi/pull/14006) by [@dennybiasiolli](https://github.com/dennybiasiolli).

use it as a point anyway. copy(priv.pub[:], privBytes[32:]) copy(priv.prefix[:], h[32:]) if err := fipsPCT(priv); err != nil { // This can happen if the application messed with the private key // encoding, and the public key doesn't match the seed anymore. return nil, err } return priv, nil } func NewPublicKey(pub []byte) (*PublicKey, error) { p := &PublicKey{} return newPublicKey(p, pub) } func newPublicKey(pub *PublicKey, pubBytes []byte) (*PublicKey, error) { if l := len(pubBytes); l != publicKeySize...