assertNotNull(exception);
        assertTrue(exception instanceof java.io.Serializable);
    }

    @Test
    public void test_stackTrace() {
        // Test that stack trace is preserved
        int statusCode = 500;
        String message = "Error occurred";

        WebApiException exception = new WebApiException(statusCode, message);

        assertNotNull(exception.getStackTrace());

    name: str
    description: str | None = None
    price: float = Field(gt=0)


app = FastAPI()


@app.post("/items/")
async def create_item(item: Item, project_id: Annotated[int, Query()]): ...
```

instead of this:

```python
# DO NOT DO THIS
class Item(BaseModel):
    name: str = ...
    description: str | None = None
    price: float = Field(..., gt=0)


app = FastAPI()

- When you create your backup job, choose the backup repository you created above.

## Test the setup

The next time the backup job runs, you can use the  `mc admin trace myminio` command and verify traffic is flowing to the MinIO nodes. For Veeam Backup and Replication you will need to wait for the backup to complete to the performance tier before it migrates data to the capacity tier (i.e., MinIO).

```

		},
	}

	jsonData := []byte(`{"three":true,"two":"foo","one":-1}
{"three":false,"two":"bar","one":null}
{"three":true,"two":"baz","one":2.5}
`)

	for i, testCase := range testTable {
		t.Run(fmt.Sprint(i), func(t *testing.T) {

```Python hl_lines="2  7-10 23-25"
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: bool | None = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):

```Python hl_lines="2  7-10 23-25"
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: bool | None = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):

{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

这些值将包含在响应中。

#### 具有与默认值相同值的数据 { #data-with-the-same-values-as-the-defaults }

如果数据具有与默认值相同的值，例如 ID 为 `baz` 的项：

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

### Avertissement concernant le remplacement { #warning-about-replacing }

Cela signifie que si vous souhaitez mettre à jour l’élément `bar` avec `PUT` et un corps contenant :

```Python
{
    "name": "Barz",
    "price": 3,
    "description": None,
}
```

comme il n’inclut pas l’attribut déjà enregistré « tax »: 20.2, le modèle d’entrée prendrait la valeur par défaut « tax »: 10.5.

0679..06B7    ; valid                                  # 1.1  ARABIC LETTER TTEH..ARABIC LETTER LAM WITH THREE DOTS ABOVE
06B8..06B9    ; valid                                  # 3.0  ARABIC LETTER LAM WITH THREE DOTS BELOW..ARABIC LETTER NOON WITH DOT BELOW
06BA..06BE    ; valid                                  # 1.1  ARABIC LETTER NOON GHUNNA..ARABIC LETTER HEH DOACHASHMEE

                            .builder()
                            .error(e.getMessage())
                            .build());
                } catch (Exception e) {
                    systemRegistry.trace(e);
                    context.writer.accept(context.invokerRequest
                            .messageBuilderFactory()
                            .builder()
                            .error("Error: " + e.getMessage())