@Override
    protected SearchResult search(final String query, final SearchRequestParams params, final OptionalThing<FessUserBean> userBean) {
        final int pageSize = params.getPageSize();
        LaRequestUtil.getOptionalRequest().ifPresent(request -> {
            request.setAttribute(Constants.REQUEST_PAGE_SIZE, pageSize);
        });

        self.name = name


class Pet:
    def __init__(self, owner: Person, name: str):
        self.owner = owner
        self.name = name


@dataclass
class Item:
    name: str
    count: int


class DictablePerson(Person):
    def __iter__(self):
        return ((k, v) for k, v in self.__dict__.items())


class DictablePet(Pet):
    def __iter__(self):

func CurrentStats() map[string]types.TargetStats {
	sys := SystemTargets()
	audit := AuditTargets()
	res := make(map[string]types.TargetStats, len(sys)+len(audit))
	cnt := make(map[string]int, len(sys)+len(audit))

	// Add system and audit.
	for _, t := range sys {
		key := strings.ToLower(t.Type().String())
		n := cnt[key]
		cnt[key]++
		key = fmt.Sprintf("sys_%s_%d", key, n)

        ImmutableList.builderWithExpectedSize(copy.length);
    for (int i = 0; i < copy.length; i++) {
      delegatesBuilder.add(new InCompletionOrderFuture<T>(state));
    }

    final ImmutableList<AbstractFuture<T>> delegates = delegatesBuilder.build();
    for (int i = 0; i < copy.length; i++) {
      final int localI = i;

	Name  string
	Code  string
	Price int64
	Owner string
	Item  ProductItem
}

type ProductItem struct {
	gorm.Model
	Code               string
	Product4ID         uint
	AfterFindCallTimes int
}

func (pi ProductItem) BeforeCreate(*gorm.DB) error {
	if pi.Code == "invalid" {
		return errors.New("invalid item")
	}
	return nil
}

func (pi *ProductItem) AfterFind(*gorm.DB) error {

### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

    builder.put("bb", 3);
    builder.put("d", 2);
    builder.put("a", 5);
    builder.orderKeysBy(
        new Ordering<String>() {
          @Override
          public int compare(String left, String right) {
            return left.length() - right.length();
          }
        });
    builder.put("cc", 4);
    builder.put("a", 2);
    builder.put("bb", 6);

그리고 여러분이 원하는 무엇이든 반환할 수 있습니다.

이 경우, 이 의존성은 다음과 같은 경우를 기대합니다:

* 선택적인 쿼리 매개변수 `q`, `str`을 자료형으로 가집니다.
* 선택적인 쿼리 매개변수 `skip`, `int`를 자료형으로 가지며 기본 값은 `0`입니다.
* 선택적인 쿼리 매개변수 `limit`,`int`를 자료형으로 가지며 기본 값은 `100`입니다.

그 후 위의 값을 포함한 `dict` 자료형으로 반환할 뿐입니다.

/// info | "정보"

FastAPI는 0.95.0 버전부터 `Annotated`에 대한 지원을 (그리고 이를 사용하기 권장합니다) 추가했습니다.

		// ensure it's UTF8 encoded.
		value = string(val)
	case [12]byte:
		// TODO: This is returned for the parquet INT96 type. We just
		// treat it same as []byte (but AWS S3 treats it as a large int)
		// - fix this later.
		value = string(val[:])
	case int32:
		value = int64(val)
		if logicalType := se.GetLogicalType(); logicalType != nil {
			if logicalType.IsSetDATE() {

        </field>
        <field xml.attribute="true">
          <name>priority</name>
          <required>false</required>
          <version>2.0.0+</version>
          <type>int</type>
          <defaultValue>0</defaultValue>
          <description>If specified, identifies a within phase prioritization of executions.</description>
        </field>
        <field>
          <name>executions</name>