"value": {
                        "name": "Bar",
                        "price": "35.4",
                    },
                },
                "invalid": {
                    "summary": "Invalid data is rejected with an error",
                    "value": {
                        "name": "Baz",
                        "price": "thirty five point four",
                    },

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None


app = FastAPI()


@app.post("/items/")
def create_item(item: Item):
    return item


@app.get("/items/")
def read_items() -> list[Item]:
    return [
        Item(
            name="Portal Gun",
            description="Device to travel through the multi-rick-verse",

     */
    private final Class<?> targetClass;

    /**
     * The name of the property.
     */
    private final String propertyName;

    /**
     * Creates a {@link IllegalPropertyRuntimeException}.
     *
     * @param targetClass
     *            Target class
     * @param propertyName
     *            Property name
     * @param cause
     *            The cause of the exception
     */

@app.put("/invalid-user/{user_id}")
def put_invalid_user(
    user_id: str, name: str = Body(), db: dict = Depends(get_database)
):
    db[user_id] = name
    raise HTTPException(status_code=400, detail="Invalid user")


@app.put("/user/{user_id}")
def put_user(user_id: str, name: str = Body(), db: dict = Depends(get_database)):
    db[user_id] = name
    return {"message": "OK"}


@pytest.fixture(autouse=True)

from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None


app = FastAPI(separate_input_output_schemas=False)


@app.post("/items/")
def create_item(item: Item):
    return item


@app.get("/items/")
def read_items() -> list[Item]:
    return [
        Item(
            name="Portal Gun",

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


@app.post("/items/", response_model=ResponseMessage)
async def create_item(item: Item):
    return {"message": "item received"}


@app.get("/items/", response_model=list[Item])
async def get_items():
    return [
        {"name": "Plumbus", "price": 3},

name: golangci-lint
on:
  push:
    branches:
      - main
      - master
  pull_request:

permissions:
  contents: read
  pull-requests: read

jobs:
  golangci:
    name: lint
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:
          go-version: stable
      - name: golangci-lint
        uses: golangci/golangci-lint-action@v7

 *
 * This response contains the data returned from the named pipe
 * after a transact operation (write then read) has been completed.
 */
public class TransTransactNamedPipeResponse extends SmbComTransactionResponse {

    private final byte[] outputBuffer;

    /**
     * Constructs a response for a named pipe transaction.
     *
     * @param config the configuration to use

{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <dfn title="Technically, Deep Learning model architectures">models</dfn>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

            return timestamp;
        }

        /**
         * Returns the log level name.
         *
         * @return the log level name
         */
        public String getLevel() {
            return level;
        }

        /**
         * Returns the logger name.
         *
         * @return the logger name
         */
        public String getLoggerName() {
            return loggerName;