* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.kuromoji;

import org.codelibs.fess.unit.UnitFessTestCase;

public class KuromojiItemTest extends UnitFessTestCase {
    public void test_new1() {

```Python hl_lines="1  9  12"
{!../../docs_src/response_change_status_code/tutorial001.py!}
```

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

)

config_setting(
    name = "android_x86",
    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:android"],
        [],
    ),
    values = dict(
        if_oss(
            {"crosstool_top": "//external:android/crosstool"},
        ),
        cpu = "x86",
    ),
    visibility = ["//visibility:public"],
)

config_setting(

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict;

import java.util.Base64;
import java.util.Date;
import java.util.regex.Pattern;

import org.codelibs.fess.Constants;

import jakarta.annotation.Resource;

public abstract class DictionaryCreator {

Zum Beispiel deklariert das obige Modell ein JSON "`object`" (oder Python-`dict`) wie dieses:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

Por exemplo, o modelo acima declara um JSON "`object`" (ou `dict` no Python) como esse:

```JSON
{
    "name": "Foo",
    "description": "Uma descrição opcional",
    "price": 45.2,
    "tax": 3.5
}
```

import static com.google.common.collect.ReflectionFreeAssertThrows.assertThrows;
import static com.google.common.collect.Sets.newHashSet;
import static com.google.common.truth.Truth.assertThat;
import static java.util.Arrays.asList;
import static java.util.Collections.shuffle;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

👆 💪 📣 🔢 🆎 `Response` 👆 *➡ 🛠️ 🔢* (👆 💪 🍪).

& ⤴️ 👆 💪 ⚒ 🎚 👈 *🔀* 📨 🎚.

```Python hl_lines="1  7-8"
{!../../docs_src/response_headers/tutorial002.py!}
```

& ⤴️ 👆 💪 📨 🙆 🎚 👆 💪, 👆 🛎 🔜 ( `dict`, 💽 🏷, ♒️).

& 🚥 👆 📣 `response_model`, ⚫️ 🔜 ⚙️ ⛽ & 🗜 🎚 👆 📨.

**FastAPI** 🔜 ⚙️ 👈 *🔀* 📨 ⚗ 🎚 (🍪 & 👔 📟), & 🔜 🚮 👫 🏁 📨 👈 🔌 💲 👆 📨, ⛽ 🙆 `response_model`.

```Python hl_lines="1  9  12"
{!../../docs_src/response_change_status_code/tutorial001.py!}
```

E então você pode retornar qualquer objeto que você precise, como você faria normalmente (um `dict`, um modelo de banco de dados, etc.).

E se você declarar um `response_model`, ele ainda será utilizado para filtrar e converter o objeto que você retornou.

Sie schreiben Standard-Python mit Typen:

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id