from typing import List

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


@app.post("/images/multiple/")
async def create_multiple_images(images: List[Image]):

    withLocale(Locale("en", "US")) {
      val mediaType = parse("IMAGE/JPEG")
      assertEquals("image", mediaType.type)
      assertEquals("jpeg", mediaType.subtype)
    }
  }

  @Test fun testTurkishDotlessIWithTrTr() {
    withLocale(Locale("tr", "TR")) {
      val mediaType = parse("IMAGE/JPEG")
      assertEquals("image", mediaType.type)
      assertEquals("jpeg", mediaType.subtype)
    }
  }

    response_model=Item,
    responses={
        200: {
            "content": {"image/png": {}},
            "description": "Return the JSON item or an image.",
        }
    },
)
async def read_item(item_id: str, img: Union[bool, None] = None):
    if img:
        return FileResponse("image.png", media_type="image/png")
    else:

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Image(BaseModel):
    url: str
    name: str


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: Set[str] = set()
    image: Union[Image, None] = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

## Bodies of pure lists

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

```Python
images: List[Image]
```

or in Python 3.9 and above:

```Python
images: list[Image]
```

as in:

=== "Python 3.9+"

def test_path_operation_img():
    shutil.copy("./docs/en/docs/img/favicon.png", "./image.png")
    response = client.get("/items/foo?img=1")
    assert response.status_code == 200, response.text
    assert response.headers["Content-Type"] == "image/png"
    assert len(response.content)
    os.remove("./image.png")


def test_openapi_schema():
    response = client.get("/openapi.json")

        <img class="sponsor-image" src="/img/sponsors/platform-sh-banner.png" />
      </a>
    </div>
    <div class="item">
      <a title="Deploy FastAPI on AWS with a few clicks" style="display: block; position: relative;" href="https://www.porter.run" target="_blank">
        <span class="sponsor-badge">sponsor</span>
        <img class="sponsor-image" src="/img/sponsors/porter-banner.png" />
      </a>
    </div>

}

// ImageReviewContainerSpec is a description of a container within the pod creation request.
message ImageReviewContainerSpec {
  // This can be in the form image:tag or image@SHA:012345679abcdef.
  // +optional
  optional string image = 1;
}

// ImageReviewSpec is a description of the pod creation request.
message ImageReviewSpec {

pkg image/png, const DefaultCompression = 0
pkg image/png, const DefaultCompression CompressionLevel
pkg image/png, const NoCompression = -1
pkg image/png, const NoCompression CompressionLevel
pkg image/png, method (*Encoder) Encode(io.Writer, image.Image) error
pkg image/png, type CompressionLevel int
pkg image/png, type Encoder struct
pkg image/png, type Encoder struct, CompressionLevel CompressionLevel

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()
    images: Union[list[Image], None] = None


class Offer(BaseModel):
    name: str