copy(out[len(plaintext):], tag[:]) } func open(out []byte, g *GCM, nonce, ciphertext, data []byte) error { switch { case useGCM: return openKMA(out, g, nonce, ciphertext, data) case useGHASH: return openAsm(out, g, nonce, ciphertext, data) default: return openGeneric(out, g, nonce, ciphertext, data) } } func openAsm(out []byte, g *GCM, nonce, ciphertext, additionalData []byte) error { var counter, tagMask [gcmBlockSize]byte deriveCounter(&g.hashKey, &counter, nonce) counterCrypt(g, tagMask[:], tagMask[:],...

* 📝 Add external link: Serve a machine learning model using Sklearn, FastAPI and Docker. PR [#2974](https://github.com/tiangolo/fastapi/pull/2974) by [@rodrigo-arenas](https://github.com/rodrigo-arenas).
* ✏️ Fix typo on docstring in datastructures file. PR [#2887](https://github.com/tiangolo/fastapi/pull/2887) by [@Kludex](https://github.com/Kludex).

*   `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`