pkg go/types, method (*PkgName) Pos() token.Pos
pkg go/types, method (*PkgName) String() string
pkg go/types, method (*PkgName) Type() Type
pkg go/types, method (*Pointer) Elem() Type
pkg go/types, method (*Pointer) String() string
pkg go/types, method (*Pointer) Underlying() Type
pkg go/types, method (*Scope) Child(int) *Scope
pkg go/types, method (*Scope) Contains(token.Pos) bool
pkg go/types, method (*Scope) End() token.Pos

### Other notable changes

* kubeadm: run kube-proxy on non-master tainted nodes ([#65931](https://github.com/kubernetes/kubernetes/pull/65931), [@neolit123](https://github.com/neolit123))

pkg go/parser, type Mode uint
pkg go/printer, const RawFormat Mode
pkg go/printer, const SourcePos Mode
pkg go/printer, const TabIndent Mode
pkg go/printer, const UseSpaces Mode
pkg go/printer, func Fprint(io.Writer, *token.FileSet, interface{}) error
pkg go/printer, method (*Config) Fprint(io.Writer, *token.FileSet, interface{}) error
pkg go/printer, type CommentedNode struct

pkg go/doc/comment, type Printer struct #51082
pkg go/doc/comment, type Printer struct, DocLinkBaseURL string #51082
pkg go/doc/comment, type Printer struct, DocLinkURL func(*DocLink) string #51082
pkg go/doc/comment, type Printer struct, HeadingID func(*Heading) string #51082
pkg go/doc/comment, type Printer struct, HeadingLevel int #51082
pkg go/doc/comment, type Printer struct, TextCodePrefix string #51082

* remove iSCSI volume storage cleartext secrets in logs ([#81215](https://github.com/kubernetes/kubernetes/pull/81215), [@zouyee](https://github.com/zouyee))
* Fix a bug in server printer that could cause kube-apiserver to panic. ([#79349](https://github.com/kubernetes/kubernetes/pull/79349), [@roycaihw](https://github.com/roycaihw))



# v1.13.10

[Documentation](https://docs.k8s.io)

    * If you know Python types you know how to use Pydantic.
* Plays nicely with your **<abbr title="Integrated Development Environment, similar to a code editor">IDE</abbr>/<abbr title="A program that checks for code errors">linter</abbr>/brain**:
    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:

* Vai bem com o/a seu/sua **<abbr title="Ambiente de Desenvolvimento Integrado, similar a um editor de código">IDE</abbr>/<abbr title="Um programa que confere erros de código">linter</abbr>/cérebro**:
    * Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, a auto completação, _linting_, _mypy_ e a sua intuição devem funcionar corretamente com seus dados validados.

* Aide votre **<abbr title="Integrated Development Environment, il s'agit de votre éditeur de code">IDE</abbr>/<abbr title="Programme qui analyse le code à la recherche d'erreurs">linter</abbr>/cerveau**:

* **更简单**：
    * 没有新的模式定义 micro-language 需要学习。
    * 如果你知道 Python types，你就知道如何使用 Pydantic。
* 和你 **<abbr title="集成开发环境，和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:
    * 因为 pydantic 数据结构仅仅是你定义的类的实例；自动补全，linting，mypy 以及你的直觉应该可以和你验证的数据一起正常工作。
* 验证**复杂结构**:
    * 使用分层的 Pydantic 模型, Python `typing`的 `List` 和 `Dict` 等等。
    * 验证器使我们能够简单清楚的将复杂的数据模式定义、检查并记录为 JSON Schema。

- [`KT-59693`](https://youtrack.jetbrains.com/issue/KT-59693) MPP: linkReleaseExecutableLinux fails with IllegalStateException: Drains have not been painted properly
- [`KT-59362`](https://youtrack.jetbrains.com/issue/KT-59362) K2/MPP: `.toByte()` conversion for const val causes SourceCodeAnalysisException: java.lang.NullPointerException: null