* FILE_WRITE_DATA</code>) and the target file has the following security
 * descriptor ACEs:
 *
 * <pre>
 * Allow WNET\alice     0x001200A9  Direct
 * Allow Administrators 0x001F01FF  Inherited
 * Allow SYSTEM         0x001F01FF  Inherited
 * </pre>
 *
 * the access check would fail because the direct ACE has an access mask
 * of <code>0x001200A9</code> which doesn't have the

/**
 */
public class LifecycleExecutionPlanCalculatorStub implements LifecycleExecutionPlanCalculator {
    // clean

    public static final MojoDescriptor PRE_CLEAN = createMojoDescriptor("pre-clean");

    public static final MojoDescriptor CLEAN = createMojoDescriptor("clean");

    public static final MojoDescriptor POST_CLEAN = createMojoDescriptor("post-clean");

    // default (or at least some of them)

    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```
вони будуть включені у відповідь.

#### Дані з тими самими значеннями, що й типові

Якщо дані мають ті самі значення, що й типові, як у елемента з item_id `baz`:

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

Итак, если вы отправите запрос к этой *операции пути* для элемента с ID `foo`, ответ (без значений по умолчанию) будет таким:

```JSON
{
    "name": "Foo",
    "price": 50.2
}
```

/// info | Информация

В Pydantic v1 метод назывался `.dict()`, в Pydantic v2 он был помечен как устаревший (но всё ещё поддерживается) и переименован в `.model_dump()`.

        urlFilter.addInclude("https://example\\.com/\\?.*");
        urlFilter.addInclude(".*\\$price=\\d+.*");
        urlFilter.addExclude(".*\\[\\].*");

        assertTrue(urlFilter.match("https://example.com/?page=1"));
        assertTrue(urlFilter.match("https://shop.com/item?$price=100"));
        assertFalse(urlFilter.match("https://example.com/array[]"));
    }

    /**

```JSON
{
    "name": "Foo",
    "description": "선택적인 설명란",
    "price": 45.2,
    "tax": 3.5
}
```

...`description`과 `tax`는 (기본 값이 `None`으로 되어 있어) 선택적이기 때문에, 이 JSON "`object`"는 다음과 같은 상황에서도 유효합니다:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

## 매개변수로서 선언하기

여러분의 *경로 작동*에 추가하기 위해, 경로 매개변수 그리고 쿼리 매개변수에서 선언했던 것과 같은 방식으로 선언하면 됩니다.

<div class="termy">

```console
$ pip install jinja2

---> 100%
```

</div>

## Usando `Jinja2Templates` { #using-jinja2templates }

* Importe `Jinja2Templates`.
* Crie um objeto `templates` que você possa reutilizar posteriormente.
* Declare um parâmetro `Request` no *path operation* que retornará um template.

     * <p>
     * To check how "1.2.7" compares to "1.2-SNAPSHOT", for example, you can issue
     * <pre>java -jar ${maven.repo.local}/org/apache/maven/maven-artifact/${maven.version}/maven-artifact-${maven.version}.jar "1.2.7" "1.2-SNAPSHOT"</pre>
     * command to command line. Result of given command will be something like this:
     * <pre>
     * Display parameters as parsed by Maven (in canonical form) and comparison result:

dP, dQ, and qInv may be nil if the key was created with // NewPrivateKeyWithout. func (priv *PrivateKey) Export() (N []byte, e int, d, P, Q, dP, dQ, qInv []byte) { N = priv.pub.N.Nat().Bytes(priv.pub.N) e = priv.pub.E d = priv.d.Bytes(priv.pub.N) if priv.dP == nil { return } P = priv.p.Nat().Bytes(priv.p) Q = priv.q.Nat().Bytes(priv.q) dP = bytes.Clone(priv.dP) dQ = bytes.Clone(priv.dQ) qInv = priv.qInv.Bytes(priv.p) return } // checkPrivateKey is called by the NewPrivateKey and GenerateKey functions,...

```Python hl_lines="4  9-12  25-27"
from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


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


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


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