val subprojectRoots = platformsFolder.asFile.listFiles(File::isDirectory).plus(subprojectsFolder.asFile).plus(testingFolder.asFile)
        return subprojectRoots.map { it.listFiles(File::isDirectory).asList() }.flatten()
    }

    private
    fun generateSubprojects(): List<GradleSubproject> {
        return generateSubprojectsDirectories()
            .filter {
                File(it, "build.gradle.kts").exists() ||

### `Body` ⏮️ 💗 `examples`

👐 👁 `example`, 👆 💪 🚶‍♀️ `examples` ⚙️ `dict` ⏮️ **💗 🖼**, 🔠 ⏮️ ➕ ℹ 👈 🔜 🚮 **🗄** 💁‍♂️.

🔑 `dict` 🔬 🔠 🖼, & 🔠 💲 ➕1️⃣ `dict`.

🔠 🎯 🖼 `dict` `examples` 💪 🔌:

* `summary`: 📏 📛 🖼.
* `description`: 📏 📛 👈 💪 🔌 ✍ ✍.
* `value`: 👉 ☑ 🖼 🎦, ✅ `dict`.
* `externalValue`: 🎛 `value`, 📛 ☝ 🖼. 👐 👉 5️⃣📆 🚫 🐕‍🦺 📚 🧰 `value`.

Par défaut, **FastAPI** convertirait automatiquement cette valeur de retour en JSON en utilisant le `jsonable_encoder` expliqué dans [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

✋️ 👉 🦮 🎦 👆, 🌖 ⚖️ 🌘, ❔ 👫 🎯 ⚙️.

///

### ⚙️ Pydantic `exclude_unset` 🔢

🚥 👆 💚 📨 🍕 ℹ, ⚫️ 📶 ⚠ ⚙️ 🔢 `exclude_unset` Pydantic 🏷 `.dict()`.

💖 `item.dict(exclude_unset=True)`.

👈 🔜 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ 🕐❔ 🏗 `item` 🏷, 🚫 🔢 💲.

⤴️ 👆 💪 ⚙️ 👉 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ (📨 📨), 🚫 🔢 💲:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="34"
{!> ../../docs_src/body_updates/tutorial002.py!}
```

from typing import Dict, List, Tuple

import pytest
from fastapi import FastAPI
from pydantic import BaseModel


def test_invalid_sequence():
    with pytest.raises(AssertionError):
        app = FastAPI()

        class Item(BaseModel):
            title: str

        @app.get("/items/{id}")
        def read_items(id: List[Item]):
            pass  # pragma: no cover


def test_invalid_tuple():

public final class StandardMutableDirectedGraphTest extends AbstractStandardDirectedGraphTest {

  @Parameters(name = "allowsSelfLoops={0}, incidentEdgeOrder={1}")
  public static Collection<Object[]> parameters() {
    return Arrays.asList(
        new Object[][] {
          {false, ElementOrder.unordered()},
          {true, ElementOrder.unordered()},
          {false, ElementOrder.stable()},
          {true, ElementOrder.stable()},
        });
  }

public final class StandardMutableDirectedGraphTest extends AbstractStandardDirectedGraphTest {

  @Parameters(name = "allowsSelfLoops={0}, incidentEdgeOrder={1}")
  public static Collection<Object[]> parameters() {
    return Arrays.asList(
        new Object[][] {
          {false, ElementOrder.unordered()},
          {true, ElementOrder.unordered()},
          {false, ElementOrder.stable()},
          {true, ElementOrder.stable()},
        });
  }

같은 방식으로 이 데이터베이스는 Pydantic 모델(속성이 있는 객체)을 받지 않고, `dict` 만을 받습니다.

이를 위해 `jsonable_encoder` 를 사용할 수 있습니다.

Pydantic 모델과 같은 객체를 받고 JSON 호환 가능한 버전으로 반환합니다:

```Python hl_lines="5  22"
{!../../docs_src/encoder/tutorial001.py!}
```

이 예시는 Pydantic 모델을 `dict`로, `datetime` 형식을 `str`로 변환합니다.

			MultipleTargets: true,
		},
		config.HelpKV{
			Key:             config.AuditWebhookSubSys,
			Description:     "send audit logs to webhook endpoints",
			MultipleTargets: true,
		},
		config.HelpKV{
			Key:             config.AuditKafkaSubSys,
			Description:     "send audit logs to kafka endpoints",
			MultipleTargets: true,
		},
		config.HelpKV{
			Key:             config.NotifyWebhookSubSys,

          .isSameInstanceAs(defaultComparator);
    }
  }

  public void testLexicographicalComparator() {
    List<byte[]> ordered =
        Arrays.asList(
            new byte[] {},
            new byte[] {LEAST},
            new byte[] {LEAST, LEAST},
            new byte[] {LEAST, (byte) 1},
            new byte[] {(byte) 1},