assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["body", "file"],
                "msg": "Field required",
                "input": None,
            }
        ]
    }


def test_post_body_json(client: TestClient):
    response = client.post("/files/", json={"file": "Foo"})

	Tags                  []Tag    `xml:"Tag,omitempty"`
}

// isEmpty returns true if Tags field is null
func (a And) isEmpty() bool {
	return len(a.Tags) == 0 && !a.Prefix.set &&
		a.ObjectSizeGreaterThan == 0 && a.ObjectSizeLessThan == 0
}

// Validate - validates the And field
func (a And) Validate() error {
	// > This is used in a Lifecycle Rule Filter to apply a logical AND to two or more predicates.

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。

    val kmClass = kmClassSupplier.get()
    return when (memberType) {
        MemberType.TYPE -> hasTypeAttribute(kmClass, jvmSignature, predicate)
        MemberType.FIELD -> hasPropertyAttribute(kmClass::properties, jvmSignature, predicate)
        MemberType.CONSTRUCTOR -> hasConstructorAttribute(kmClass::constructors, jvmSignature, predicate)

from typing import Optional

from fastapi import FastAPI
from pydantic import BaseModel, Field
from starlette.testclient import TestClient

app = FastAPI()


class Item(BaseModel):
    name: str = Field(alias="aliased_name")
    price: Optional[float] = None
    owner_ids: Optional[list[int]] = None


@app.get("/items/valid", response_model=Item)
def get_valid():
    return Item(aliased_name="valid", price=1.0)

## Поля-списки { #list-fields }

Вы можете определить атрибут как подтип. Например, Python-тип `list`:

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

Это приведёт к тому, что `tags` будет списком, несмотря на то, что тип его элементов не объявлен.

## Поля-списки с параметром типа { #list-fields-with-type-parameter }

    def __enter__(self):
        return self.db

    def __exit__(self, exc_type, exc_value, traceback):
        self.db.close()


async def get_db():
    with MySuperContextManager() as db:

set before starting MinIO server. After the data and parity drives for each storage class are defined using environment variables,
you can set the storage class of an object via request metadata field `x-amz-storage-class`. MinIO server then honors the storage class by
saving the object in specific number of data and parity drives.

## Storage usage

from fastapi import FastAPI
from fastapi.responses import StreamingResponse

app = FastAPI()


async def fake_video_streamer():
    for i in range(10):
        yield b"some fake video bytes"


@app.get("/")
async def main():

        delegate = new MetadataStaxReader(contentTransformer::transform);
    }

    /**
     * Returns the state of the "add default entities" flag.
     *
     * @return boolean a field value
     */
    public boolean getAddDefaultEntities() {
        return delegate.getAddDefaultEntities();
    }

    /**
     * Sets the state of the "add default entities" flag.
     *