public interface Location {

    /**
     * Return the line number where the current event ends,
     * returns -1 if none is available.
     * @return the current line number
     */
    int getLineNumber();

    /**
     * Return the column number where the current event ends,
     * returns -1 if none is available.
     * @return the current column number
     */
    int getColumnNumber();

    assert response.json() == {
        "item_id": 5,
        "item": {
            "name": "Foo",
            "description": None,
            "price": 35.4,
            "tax": None,
            "tags": [],
            "images": None,
        },
    }


def test_put_empty_body(client: TestClient):
    response = client.put(
        "/items/5",
        json={},
    )

        *,
        endpoint_ctx: Optional[EndpointContext] = None,
    ) -> None:
        super().__init__(errors, endpoint_ctx=endpoint_ctx)


class ResponseValidationError(ValidationException):
    def __init__(
        self,
        errors: Sequence[Any],
        *,
        body: Any = None,
        endpoint_ctx: Optional[EndpointContext] = None,
    ) -> None:
        super().__init__(errors, endpoint_ctx=endpoint_ctx)

Die Reduzierung von Code-Verdoppelung ist eine der Kernideen von **FastAPI**.

Da die Verdopplung von Code die Wahrscheinlichkeit von Fehlern, Sicherheitsproblemen, Problemen mit der Desynchronisation des Codes (wenn Sie an einer Stelle, aber nicht an der anderen aktualisieren) usw. erhöht.

Und diese Modelle teilen alle eine Menge der Daten und verdoppeln Attributnamen und -typen.

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",
                "price": 35.4,
                "tax": 3.2,

      }
    }

    return true
  }

  @Throws(IOException::class)
  private fun readEmptyLine(source: BufferedSource) {
    val line = source.readUtf8LineStrict()
    check(line.isEmpty()) { "Expected empty but was: $line" }
  }

  public override fun toString(): String {
    val socketAddress = socketAddress_
    return when {
      closed -> "MockWebServer{closed}"

    SQLModel wird verstehen, dass etwas, das als `str` deklariert ist, eine SQL-Spalte des Typs `TEXT` (oder `VARCHAR`, abhängig von der Datenbank) sein wird.

### Eine Engine erstellen { #create-an-engine }

Eine SQLModel-`engine` (darunter ist es tatsächlich eine SQLAlchemy-`engine`) ist das, was die **Verbindungen** zur Datenbank hält.

    bufferHelper(
        "\nempty first line\nno newline at end", "\n", "empty first line\n", "no newline at end");
    bufferHelper("three\rlines\rno newline at end", "three\r", "lines\r", "no newline at end");
    bufferHelper("mixed\nline\rendings\r\n", "mixed\n", "line\r", "endings\r\n");
  }

  private static final ImmutableSet<Integer> CHUNK_SIZES =

    bufferHelper(
        "\nempty first line\nno newline at end", "\n", "empty first line\n", "no newline at end");
    bufferHelper("three\rlines\rno newline at end", "three\r", "lines\r", "no newline at end");
    bufferHelper("mixed\nline\rendings\r\n", "mixed\n", "line\r", "endings\r\n");
  }

  private static final ImmutableSet<Integer> CHUNK_SIZES =

from typing import Annotated

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Annotated[
        Item,
        Body(
            openapi_examples={