def process_items(prices: dict[str, float]):
    for item_name, item_price in prices.items():
        print(item_name)

                "type": "object",
                "properties": {
                    "detail": {
                        "title": "Detail",
                        "type": "array",
                        "items": {"$ref": "#/components/schemas/ValidationError"},
                    }
                },
            },
            "ValidationError": {
                "title": "ValidationError",

///

That means: "the variable `items` is a `list`, and each of the items in this list is a `str`".

/// tip

If you use Python 3.9 or above, you don't have to import `List` from `typing`, you can use the same regular `list` type instead.

///

By doing that, your editor can provide support even while processing items from the list:

<img src="/img/python-types/image05.png">

                                            <tbody>
                                            <c:forEach var="data" varStatus="s"
                                                       items="${charMappingItemItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/dict/mapping/details/${f:u(dictId)}/4/${f:u(data.id)}">

                                            <tbody>
                                            <c:forEach var="data" varStatus="s"
                                                       items="${stopwordsItemItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/dict/stopwords/details/${f:u(dictId)}/4/${f:u(data.id)}">

from fastapi import FastAPI

app = FastAPI(docs_url="/documentation", redoc_url=None)


@app.get("/items/")
async def read_items():

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item = Body(
        examples=[
            {
                "name": "Foo",
                "description": "A very nice Item",

from fastapi import FastAPI
from fastapi.responses import UJSONResponse

app = FastAPI()


@app.get("/items/", response_class=UJSONResponse)
async def read_items():

from fastapi import FastAPI
from fastapi.responses import ORJSONResponse

app = FastAPI(default_response_class=ORJSONResponse)


@app.get("/items/")
async def read_items():

  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;

  // `items` is a list of FlowSchemas.
  repeated FlowSchema items = 2;
}

// FlowSchemaSpec describes how the FlowSchema's specification looks like.
message FlowSchemaSpec {