# Public domain: https://github.com/xi2/xz/blob/master/LICENSE
- github.com/xi2/xz

# Helm is Apache 2.0: https://github.com/helm/helm/blob/master/LICENSE
# However, it has a bunch of LICENSE test files that our linter fails to understand
- helm.sh/helm/v3

# https://github.com/pelletier/go-toml/blob/master/LICENSE
# Uses MIT for everything, except a few files copied from
# google's civil library that uses Apache 2

# "make update-common".

run:
  # Timeout for analysis, e.g. 30s, 5m.
  # Default: 1m
  timeout: 20m
  build-tags:
  - integ
  - integfuzz
linters:
  disable-all: true
  enable:
  - goimports
  - gofumpt
  - gci
  fast: false
linters-settings:
  gci:
    sections:
      - standard # Captures all standard packages if they do not match another section.

#########################
## Config for sass-lint
#########################
# Linter Options
options:
  # Don't merge default rules
  merge-default-rules: false
  # Raise an error if more than 50 warnings are generated
  max-warnings: 500
# Rule Configuration
rules:
  attribute-quotes:
    - 2
    -
      include: false
  bem-depth: 2
  border-zero: 2
  brace-style: 2
  class-name-format: 2
  clean-import-paths: 2

    * 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**:

* **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。

)

var errInvalidFilter = Errorf("Filter must have exactly one of Prefix, Tag, or And specified")

// Filter - a filter for a replication configuration Rule.
type Filter struct {
	XMLName xml.Name `xml:"Filter" json:"Filter"`
	Prefix  string
	And     And
	Tag     Tag

	// Caching tags, only once
	cachedTags map[string]string
}

// IsEmpty returns true if filter is not set
func (f Filter) IsEmpty() bool {

package lifecycle

import (
	"encoding/xml"
	"io"

	"github.com/minio/minio-go/v7/pkg/tags"
)

var errInvalidFilter = Errorf("Filter must have exactly one of Prefix, Tag, or And specified")

// Filter - a filter for a lifecycle configuration Rule.
type Filter struct {
	XMLName xml.Name `xml:"Filter"`
	set     bool

	Prefix Prefix

	ObjectSizeGreaterThan int64 `xml:"ObjectSizeGreaterThan,omitempty"`

	"http://dbflute.org/meta/lastadi10.dtd">
<components namespace="fessCrawler">
	<include path="crawler/container.xml" />

	<component name="urlFilter"
		class="org.codelibs.fess.crawler.filter.impl.UrlFilterImpl" instance="prototype">
	</component>

Shinsuke Sugaya <******@****.***> 1730954650 +0900

func explodeSeq(s []byte) iter.Seq[[]byte] {
	return func(yield func([]byte) bool) {
		for len(s) > 0 {
			_, size := utf8.DecodeRune(s)
			if !yield(s[:size:size]) {
				return
			}
			s = s[size:]
		}
	}
}

// splitSeq is SplitSeq or SplitAfterSeq, configured by how many
// bytes of sep to include in the results (none or all).
func splitSeq(s, sep []byte, sepSave int) iter.Seq[[]byte] {
	if len(sep) == 0 {