async for item in iterate_in_threadpool(func(*args, **kwargs)):
                yield item

        return gen_wrapper

    elif inspect.isasyncgenfunction(func):

        @wraps(func)
        async def async_gen_wrapper(*args, **kwargs):
            async for item in func(*args, **kwargs):
                yield item

        return async_gen_wrapper

    @wraps(func)

 * @since 3.0
 */
@Named
@Singleton
@Deprecated
public class DefaultConflictResolverFactory implements ConflictResolverFactory, Contextualizable {
    // fields -----------------------------------------------------------------

    /**
     * The plexus container used to obtain instances from.
     */
    @Inject
    private PlexusContainer container;

@SuppressWarnings("JUnit4ClassUsedInJUnit3")
public class AbstractSetTester<E> extends AbstractCollectionTester<E> {
  /*
   * Previously we had a field named set that was initialized to the value of
   * collection in setUp(), but that caused problems when a tester changed the
   * value of set or collection but not both.
   */
  protected final Set<E> getSet() {

/**
 * There are various forms of results that are represented by this class:
 * <ol>
 * <li>success - in which case only the model field is set
 * <li>success with warnings - model field + non-error model problems
 * <li>error - no model, but diagnostics
 * <li>error - (partial) model and diagnostics
 * </ol>
 * Could encode these variants as subclasses, but kept in one for now
 *

 * on the same [call] to process the next event.
 *
 * By forcing the list of listeners to change after every event, we can detect if buggy code caches
 * a stale [EventListener] in a field or local variable.
 */
class EventListenerRelay(
  val call: Call,
  val eventRecorder: EventRecorder,
) {
  private val eventListenerAdapter =
    EventListenerAdapter()
      .apply {

type ClauseBuilder func(Clause, Builder)

type Writer interface {
	WriteByte(byte) error
	WriteString(string) (int, error)
}

// Builder builder interface
type Builder interface {
	Writer
	WriteQuoted(field interface{})
	AddVar(Writer, ...interface{})
	AddError(error) error
}

// Clause
type Clause struct {
	Name                string // WHERE
	BeforeExpression    Expression
	AfterNameExpression Expression

client = TestClient(app)


def test_get_validation_error():
    response = client.get("/items/foo")
    assert response.status_code == 400, response.text
    assert "Validation errors:" in response.text
    assert "Field: ('path', 'item_id')" in response.text


def test_get_http_error():
    response = client.get("/items/3")
    assert response.status_code == 418, response.text
    assert response.content == b"Nope! I don't like 3."

    with pytest.raises(ValidationError) as exc_info:
        importlib.import_module(mod_name)
    assert exc_info.value.errors() == [
        {
            "loc": ("admin_email",),
            "msg": "Field required",
            "type": "missing",
            "input": {},
            "url": IsAnyStr,
        }
    ]


def test_app(client: TestClient):
    response = client.get("/info")

              }
            }
          }

          when {
            headerIndex != -1 -> {
              // Indexed Header Field.
              writeInt(headerIndex, PREFIX_7_BITS, 0x80)
            }
            headerNameIndex == -1 -> {
              // Literal Header Field with Incremental Indexing - New Name.
              out.writeByte(0x40)
              writeByteString(name)
              writeByteString(value)

有一些区别：

* `table=True` 会告诉 SQLModel 这是一个*表模型*，它应该表示 SQL 数据库中的一个*表*，而不仅仅是一个*数据模型*（就像其他常规的 Pydantic 类一样）。

* `Field(primary_key=True)` 会告诉 SQLModel `id` 是 SQL 数据库中的**主键**（您可以在 SQLModel 文档中了解更多关于 SQL 主键的信息）。

    把类型设置为 `int | None` ，SQLModel 就能知道该列在 SQL 数据库中应该是 `INTEGER` 类型，并且应该是 `NULLABLE` 。

* `Field(index=True)` 会告诉 SQLModel 应该为此列创建一个 **SQL 索引**，这样在读取按此列过滤的数据时，程序能在数据库中进行更快的查找。