pkg log/syslog (freebsd-arm64), method (*Writer) Emerg(string) error
pkg log/syslog (freebsd-arm64), method (*Writer) Err(string) error
pkg log/syslog (freebsd-arm64), method (*Writer) Info(string) error
pkg log/syslog (freebsd-arm64), method (*Writer) Notice(string) error
pkg log/syslog (freebsd-arm64), method (*Writer) Warning(string) error
pkg log/syslog (freebsd-arm64), method (*Writer) Write([]uint8) (int, error)

pkg log/syslog (freebsd-riscv64), method (*Writer) Debug(string) error #53466
pkg log/syslog (freebsd-riscv64), method (*Writer) Emerg(string) error #53466
pkg log/syslog (freebsd-riscv64), method (*Writer) Err(string) error #53466
pkg log/syslog (freebsd-riscv64), method (*Writer) Info(string) error #53466
pkg log/syslog (freebsd-riscv64), method (*Writer) Notice(string) error #53466
pkg log/syslog (freebsd-riscv64), method (*Writer) Warning(string) error #53466

### Deprecation

- Added support for vSphere in-tree volumes migration to vSphere CSI driver. The in-tree vSphere Volume plugin will be deprecated and removed in a future release.
  

`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more...

Section 10.1.2.2. // K = HMAC (K, V || 0x00 || provided_data) h := hmac.New(hash, K) h.Write(d.V) h.Write([]byte{0x00}) h.Write(entropy) h.Write(nonce) switch s := s.(type) { case plainPersonalization: h.Write(s) case blockAlignedPersonal: l := len(d.V) + 1 + len(entropy) + len(nonce) for _, b := range s { pad000(h, l) h.Write(b) l = len(b) } } K = h.Sum(K[:0]) // V = HMAC (K, V) h = hmac.New(hash, K) h.Write(d.V) d.V = h.Sum(d.V[:0]) // K = HMAC (K, V || 0x01 || provided_data). h.Reset() h.Write(d.V)...

Section 10.1.2.2. // K = HMAC (K, V || 0x00 || provided_data) h := hmac.New(hash, K) h.Write(d.V) h.Write([]byte{0x00}) h.Write(entropy) h.Write(nonce) switch s := s.(type) { case plainPersonalization: h.Write(s) case blockAlignedPersonal: l := len(d.V) + 1 + len(entropy) + len(nonce) for _, b := range s { pad000(h, l) h.Write(b) l = len(b) } } K = h.Sum(K[:0]) // V = HMAC (K, V) h = hmac.New(hash, K) h.Write(d.V) d.V = h.Sum(d.V[:0]) // K = HMAC (K, V || 0x01 || provided_data). h.Reset() h.Write(d.V)...