func (d *Digest) AppendBinary(b []byte) ([]byte, error) { switch d.dsbyte { case dsbyteSHA3: b = append(b, magicSHA3...) case dsbyteShake: b = append(b, magicShake...) case dsbyteCShake: b = append(b, magicCShake...) case dsbyteKeccak: b = append(b, magicKeccak...) default: panic("unknown dsbyte") } // rate is at most 168, and n is at most rate. b = append(b, byte(d.rate)) b = append(b, d.a[:]...) b = append(b, byte(d.n), byte(d.state)) return b, nil } func (d *Digest) UnmarshalBinary(b []byte) error...

func (d *Digest) AppendBinary(b []byte) ([]byte, error) { switch d.dsbyte { case dsbyteSHA3: b = append(b, magicSHA3...) case dsbyteShake: b = append(b, magicShake...) case dsbyteCShake: b = append(b, magicCShake...) case dsbyteKeccak: b = append(b, magicKeccak...) default: panic("unknown dsbyte") } // rate is at most 168, and n is at most rate. b = append(b, byte(d.rate)) b = append(b, d.a[:]...) b = append(b, byte(d.n), byte(d.state)) return b, nil } func (d *Digest) UnmarshalBinary(b []byte) error...

*   `tf.random`:
    *   Various random number generation improvements:
    *   Add a fast path for default `random_uniform`
    *   `random_seed` documentation improvement.
    *   `RandomBinomial` broadcasts and appends the sample shape to the left
        rather than the right.
    *   Added `tf.random.stateless_binomial`, `tf.random.stateless_gamma`,
        `tf.random.stateless_poisson`