*   `tf.data`:
    *   Promoting `unbatch` from experimental to core API.
    *   Adding support for datasets as inputs to `from_tensors` and
        `from_tensor_slices` and batching and unbatching of nested datasets.
*   `tf.keras`:
    *   `tf.keras.estimator.model_to_estimator` now supports exporting to
        tf.train.Checkpoint format, which allows the saved checkpoints to be

- Kubeadm: remove the deprecated "--use-api" flag for "kubeadm alpha certs renew" (...

* 🔨 Update FastAPI People Experts script, refactor and optimize data fetching to handle rate limits. PR [#13267](https://github.com/fastapi/fastapi/pull/13267) by [@tiangolo](https://github.com/tiangolo).

from FIPS 204, passing in ρ, s, and r instead of ρ'. func sampleNTT(rho []byte, s, r byte) nttElement { G := sha3.NewShake128() G.Write(rho) G.Write([]byte{s, r}) var a nttElement var j int // index into a var buf [168]byte // buffered reads from B, matching the rate of SHAKE-128 off := len(buf) // index into buf, starts in a "buffer fully consumed" state for j < n { if off >= len(buf) { G.Read(buf[:]) off = 0 } v := uint32(buf[off]) | uint32(buf[off+1])<<8 | uint32(buf[off+2])<<16 off += 3 f, err :=...

A64-SIMD-Vector-Instructions/MOV--vector--from-general- */}} VMOV IV_LOW_BE, V{{ block_reg $i }}.D[1] VMOV IV_HIGH_BE, V{{ block_reg $i }}.D[0] {{- if ne (add $i 1) $N }} ADDS $1, IV_LOW_LE ADC $0, IV_HIGH_LE {{ end }} {{ end }} {{/* Num rounds branching. */}} CMP $12, NR BLT Lenc128 BEQ Lenc192 {{/* 2 extra rounds for 256-bit keys. */}} Lenc256: {{- template "load_keys" (load_keys_args 0 2) }} {{- template "enc" (enc_args 0 $N true) }} {{- template "enc" (enc_args 1 $N true) }} {{/* 2 extra rounds...