as gradient clipping).
*   Improvements to Keras preprocessing layers:
    *   TextVectorization can now accept a vocabulary list or file as an init
        arg.
    *   Normalization can now accept mean and variance values as init args.
*   In `Attention` and `AdditiveAttention` layers, the `call()` method now
    accepts a `return_attention_scores` argument. When set to True, the layer

pkg math (freebsd-riscv64), const MaxUint = 18446744073709551615 #53466
pkg math (freebsd-riscv64), const MinInt = -9223372036854775808 #53466
pkg math (freebsd-riscv64-cgo), const MaxInt = 9223372036854775807 #53466
pkg math (freebsd-riscv64-cgo), const MaxUint = 18446744073709551615 #53466
pkg math (freebsd-riscv64-cgo), const MinInt = -9223372036854775808 #53466
pkg math/bits (freebsd-riscv64), const UintSize = 64 #53466

## Changelog since v1.12.0

### Other notable changes

* kubeadm now allows mixing of init/cluster and join configuration in a single YAML file (although a warning gets printed in this case).  ([#69426](https://github.com/kubernetes/kubernetes/pull/69426), [@rosti](https://github.com/rosti))

pkg syscall (windows-amd64), type SysProcAttr struct, ProcessAttributes *SecurityAttributes
pkg syscall (windows-amd64), type SysProcAttr struct, ThreadAttributes *SecurityAttributes
pkg testing, func Init()
pkg testing, method (*B) ReportMetric(float64, string)
pkg testing, type BenchmarkResult struct, Extra map[string]float64
pkg text/template, method (ExecError) Unwrap() error