@Override
  protected abstract Collection<E> delegate();

  @Override
  public Iterator<E> iterator() {
    return delegate().iterator();
  }

  @Override
  public int size() {
    return delegate().size();
  }

  @CanIgnoreReturnValue
  @Override
  public boolean removeAll(Collection<?> collection) {
    return delegate().removeAll(collection);
  }

  @Override

  @Override
  protected abstract Collection<E> delegate();

  @Override
  public Iterator<E> iterator() {
    return delegate().iterator();
  }

  @Override
  public int size() {
    return delegate().size();
  }

  @CanIgnoreReturnValue
  @Override
  public boolean removeAll(Collection<?> collection) {
    return delegate().removeAll(collection);
  }

  @Override

				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *SiteResyncStatus) Msgsize() (s int) {
	s = 1 + 2 + msgp.IntSize + 3 + z.Status.Msgsize() + 4 + msgp.StringPrefixSize + len(z.DeplID) + 5 + msgp.MapHeaderSize
	if z.BucketStatuses != nil {
		for za0001, za0002 := range z.BucketStatuses {
			_ = za0002

			Key:   kvsrc.Key,
			Value: kvsrc.Value,
			IsCfg: true,
			IsEnv: kvsrc.Src == config.ValueSourceEnv,
		})
	}

	// sort the structs by the key
	sort.Slice(res, func(i, j int) bool {
		return res[i].Key < res[j].Key
	})

	return res, nil

      echo "[DEBUG] JvmConfigParser exit code: $parser_exit" >&2
      echo "[DEBUG] JvmConfigParser output: $parser_output" >&2
    fi

    if [ $parser_exit -ne 0 ]; then
      # Parser failed - print comprehensive error information
      echo "ERROR: JvmConfigParser failed with exit code $parser_exit" >&2
      echo "  jvm.config path: $1" >&2
      echo "  Maven basedir: $MAVEN_PROJECTBASEDIR" >&2

                        g1, a1, v1, g2, a2, v2);
                if (isSameGroupAndVersion) {
                    message += String.format(
                            "  Hint: The artifactId '%s' does not match the project artifactId '%s' "
                                    + "nor any declared module name in source roots.",
                            a2, a1);
                }

```

接著呼叫：

```Python
user_dict = user_in.model_dump()
```

此時變數 `user_dict` 會是一個承載資料的 `dict`（也就是 `dict`，而非 Pydantic 模型物件）。

若再呼叫：

```Python
print(user_dict)
```

我們會得到一個 Python `dict`：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

            .add("field32", new boolean[0])
            .add("field33", new byte[0])
            .add("field34", new char[0])
            .add("field35", new short[0])
            .add("field36", new int[0])
            .add("field37", new long[0])
            .add("field38", new float[0])
            .add("field39", new double[0])
            .add("field40", new Object[0])
            .toString();

```Python
from datetime import date

from pydantic import BaseModel

# 변수를 str로 선언합니다
# 그리고 함수 내부에서 편집기 지원을 받습니다
def main(user_id: str):
    return user_id


# Pydantic 모델
class User(BaseModel):
    id: int
    name: str
    joined: date
```

그 다음 다음과 같이 사용할 수 있습니다:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

//
//	// retrieve 3 users
//	db.Limit(3).Find(&users)
//	// retrieve 3 users into users1, and all users into users2
//	db.Limit(3).Find(&users1).Limit(-1).Find(&users2)
func (db *DB) Limit(limit int) (tx *DB) {
	tx = db.getInstance()
	tx.Statement.AddClause(clause.Limit{Limit: &limit})
	return
}

// Offset specify the number of records to skip before starting to return the records
//