pkg hash/maphash, type Seed struct
pkg log, const Lmsgprefix = 64
pkg log, const Lmsgprefix ideal-int
pkg math, func FMA(float64, float64, float64) float64
pkg math/bits, func Rem(uint, uint, uint) uint
pkg math/bits, func Rem32(uint32, uint32, uint32) uint32
pkg math/bits, func Rem64(uint64, uint64, uint64) uint64
pkg mime/multipart, method (*Reader) NextRawPart() (*Part, error)
pkg net/http, method (Header) Values(string) []string

    
- Kubeadm: improve the validation of serviceSubnet and podSubnet.
  ServiceSubnet has to be limited in size, due to implementation details, and the mask can not allocate more than 20 bits.
  PodSubnet validates against the corresponding cluster "--node-cidr-mask-size" of the kube-controller-manager, it fail if the values are not compatible.

* Implement dynamic provisioning (beta) of PersistentVolumes via StorageClass ([#29006](https://github.com/kubernetes/kubernetes/pull/29006), [@jsafrane](https://github.com/jsafrane))
* Allow setting permission mode bits on secrets, configmaps and downwardAPI files ([#28936](https://github.com/kubernetes/kubernetes/pull/28936), [@rata](https://github.com/rata))

pkg log/syslog (darwin-arm64-cgo), method (*Writer) Write([]uint8) (int, error)
pkg log/syslog (darwin-arm64-cgo), type Priority int
pkg log/syslog (darwin-arm64-cgo), type Writer struct
pkg math/bits (darwin-arm64), const UintSize = 64
pkg math/bits (darwin-arm64-cgo), const UintSize = 64
pkg os (darwin-arm64), const DevNull = "/dev/null"
pkg os (darwin-arm64), const O_APPEND = 8
pkg os (darwin-arm64), const O_CREATE = 512

    public static final String LABELS_PN = "{labels.pn}";

    /** The key of the message: Scheme */
    public static final String LABELS_PROTOCOL_SCHEME = "{labels.protocolScheme}";

    /** The key of the message: Purge Bots */
    public static final String LABELS_PURGE_BY_BOTS = "{labels.purgeByBots}";

    /** The key of the message: Log Level */
    public static final String LABELS_LOG_LEVEL = "{labels.logLevel}";

- github.com/armon/go-radix: [7fddfc3](https://github.com/armon/go-radix/tree/7fddfc3)
- github.com/bgentry/speakeasy: [v0.1.0](https://github.com/bgentry/speakeasy/tree/v0.1.0)
- github.com/bits-and-blooms/bitset: [v1.2.0](https://github.com/bits-and-blooms/bitset/tree/v1.2.0)
- github.com/bketelsen/crypt: [v0.0.4](https://github.com/bketelsen/crypt/tree/v0.0.4)

pkg syscall (linux-arm-cgo), type EpollEvent struct, Pad int32
pkg syscall (linux-arm-cgo), type EpollEvent struct, PadFd int32
pkg syscall (linux-arm-cgo), type FdSet struct
pkg syscall (linux-arm-cgo), type FdSet struct, Bits [32]int32
pkg syscall (linux-arm-cgo), type Fsid struct
pkg syscall (linux-arm-cgo), type Fsid struct, X__val [2]int32
pkg syscall (linux-arm-cgo), type ICMPv6Filter struct

        [TensorFloat-32](https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-precision-format/).
        Specifically, inputs to such ops are rounded from 23 bits of precision
        to 10 bits of precision. This is unlikely to cause issues in practice
        for deep learning models. In some cases, TensorFloat-32 is also used for
        complex64 ops. TensorFloat-32 can be disabled by running

## Dependencies

### Added
- github.com/bits-and-blooms/bitset: [v1.2.0](https://github.com/bits-and-blooms/bitset/tree/v1.2.0)

### Changed
- github.com/cilium/ebpf: [v0.5.0 → v0.6.2](https://github.com/cilium/ebpf/compare/v0.5.0...v0.6.2)

pkg math/big, method (*Int) AndNot(*Int, *Int) *Int
pkg math/big, method (*Int) Binomial(int64, int64) *Int
pkg math/big, method (*Int) Bit(int) uint
pkg math/big, method (*Int) BitLen() int
pkg math/big, method (*Int) Bits() []Word
pkg math/big, method (*Int) Bytes() []uint8
pkg math/big, method (*Int) Cmp(*Int) int
pkg math/big, method (*Int) Div(*Int, *Int) *Int
pkg math/big, method (*Int) DivMod(*Int, *Int, *Int) (*Int, *Int)