pkg runtime/cgo (linux-arm-cgo), type Incomplete struct #46731
pkg runtime/cgo (netbsd-386-cgo), type Incomplete struct #46731
pkg runtime/cgo (netbsd-amd64-cgo), type Incomplete struct #46731
pkg runtime/cgo (netbsd-arm64-cgo), type Incomplete struct #46731
pkg runtime/cgo (netbsd-arm-cgo), type Incomplete struct #46731
pkg runtime/cgo (openbsd-386-cgo), type Incomplete struct #46731

pkg syscall (freebsd-arm64), type BpfStat struct
pkg syscall (freebsd-arm64), type BpfStat struct, Drop uint32
pkg syscall (freebsd-arm64), type BpfStat struct, Recv uint32
pkg syscall (freebsd-arm64), type BpfVersion struct
pkg syscall (freebsd-arm64), type BpfVersion struct, Major uint16
pkg syscall (freebsd-arm64), type BpfVersion struct, Minor uint16
pkg syscall (freebsd-arm64), type BpfZbuf struct

213C          ; mapped                 ; 03C0          # 4.1  DOUBLE-STRUCK SMALL PI
213D..213E    ; mapped                 ; 03B3          # 3.2  DOUBLE-STRUCK SMALL GAMMA..DOUBLE-STRUCK CAPITAL GAMMA
213F          ; mapped                 ; 03C0          # 3.2  DOUBLE-STRUCK CAPITAL PI
2140          ; mapped                 ; 2211          # 3.2  DOUBLE-STRUCK N-ARY SUMMATION

regs_batches $.DstOffset $N }} VST1.P [{{ .Regs }}], {{ .Size }}(DST) {{- end }} RET {{ end }} ` func main() { type Params struct { DstOffset int Sizes []int } params := Params{ DstOffset: dstOffset, Sizes: []int{1, 2, 4, 8}, } type RegsBatch struct { Size int Regs string // Comma-separated list of registers. } type LoadKeysArgs struct { FirstKey int NKeys int } type EncArgs struct { Key int N int WithMc bool } funcs := template.FuncMap{ "add": func(a, b int) int { return a + b }, "xrange": func(n int)...

- Jsonpath support in kubectl / client-go serializes complex types (maps / slices / structs) as json instead of Go-syntax. ([#89660](https://github.com/kubernetes/kubernetes/pull/89660), [@pjferrell](https://github.com/pjferrell)) [SIG API Machinery, CLI and Cluster Lifecycle]

# Release 2.5.0

## Major Features and Improvements

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.

    * `File()`

* The new parameter fields are:

    * `default_factory`
    * `alias_priority`
    * `validation_alias`
    * `serialization_alias`
    * `discriminator`
    * `strict`
    * `multiple_of`
    * `allow_inf_nan`
    * `max_digits`
    * `decimal_places`
    * `json_schema_extra`

...you can read about them in the Pydantic docs.

    /**
     * Get the value for the key 'cookie.search.parameter.same_site'. <br>
     * The value is, e.g. Lax <br>
     * comment: SameSite attribute for the search parameter cookie. Valid values: Lax, Strict, None
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getCookieSearchParameterSameSite();

    /**