@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):

	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);

   */
  public void add(Runnable runnable, Executor executor) {
    // Fail fast on a null. We throw NPE here because the contract of Executor states that it throws
    // NPE on null listener, so we propagate that contract up into the add method as well.
    checkNotNull(runnable, "Runnable was null.");
    checkNotNull(executor, "Executor was null.");

    // Lock while we check state. We must maintain the lock while adding the new pair so that

    if (future instanceof ListenableFuture) {
      return (ListenableFuture<V>) future;
    }
    return new ListenableFutureAdapter<>(future, executor);
  }

  /**
   * An adapter to turn a {@link Future} into a {@link ListenableFuture}. This will wait on the
   * future to finish, and when it completes, run the listeners. This implementation will wait on

        }
    }

    /**
     * Returns {@code true} if passed in artifact is originating from local repository. In other words, we want
     * to process and store tracking information ONLY into local repository, not to any other place. This method
     * filters out currently built artifacts, as events are fired for them as well, but their resolved artifact

  // A subnet mask determines how much of the address is used for network bits
  // and host bits. For example an IPv4 address of 192.168.0.0/24, splits the
  // address into 24 bits for the network portion and 8 bits for the host portion.
  // To allocate 256 IPs, set this field to 8 (a /24 mask for IPv4 or a /120 for IPv6).
  // Minimum value is 4 (16 IPs).
  // This field is immutable.

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.