:= fieldSubToMontgomery(rr, r1<<13) return uint16(r1), r0 } // highBits implements HighBits from FIPS 204. func highBits(r ringElement, p parameters) [n]byte { var w [n]byte switch p.γ2 { case 32: for i := range n { w[i] = highBits32(fieldFromMontgomery(r[i])) } case 88: for i := range n { w[i] = highBits88(fieldFromMontgomery(r[i])) } default: panic("mldsa: internal error: unsupported γ2") } return w } // useHint implements UseHint from FIPS 204. // // It is not constant-time. func useHint(r ringElement,...

s, // compressing eight coefficients per five bytes. // // It implements Compress₅, according to FIPS 203, Definition 4.7, // followed by ByteEncode₅, according to FIPS 203, Algorithm 5. func ringCompressAndEncod(s []byte, f ringElement) []byte { return ringCompressAndEncod(s, f, 5) } // ringDecodeAndDecompr decodes a 160-byte encoding of a ring element where // each five bits are mapped to an equidistant distribution. // // It implements ByteDecode₅, according to FIPS 203, Algorithm 6, // followed...

    *   Added
        [`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization).
        This class implements the sharpness-aware minimization technique, which
        boosts model performance on various tasks, e.g., ResNet on image
        classification.

*   `tf.data`:

* Add link to Chinese article in [External Links](https://fastapi.tiangolo.com/external-links/). PR [810](https://github.com/tiangolo/fastapi/pull/810) by [@wxq0309](https://github.com/wxq0309).
* Implement `OAuth2AuthorizationCodeBearer` class. PR [#797](https://github.com/tiangolo/fastapi/pull/797) by [@kuwv](https://github.com/kuwv).