```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python

```Python
from datetime import date

from pydantic import BaseModel

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```Python

    val thread =
      Thread {
        try {
          call.execute()
          throw AssertionError()
        } catch (expected: IOException) {
        }
      }
    thread.start()
    return thread
  }

  private fun newRequest(url: String): Request = Request.Builder().url(url).build()

  private fun newRequest(
    url: String,
    tag: String,
  ): Request =
    Request

        assertTrue(laterAge >= 200, "Age should increase after delay");
    }

    @Test
    public void testKeyAgeNonExistent() {
        assertEquals(-1, keyManager.getKeyAge("non-existent"), "Non-existent key should return -1 for age");
    }

    @Test
    public void testConfigureKeyRotation() {
        // Test that configuration doesn't throw
        keyManager.configureKeyRotation(60000);

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр user_id с типом `str`
# и получаем поддержку редактора внутри функции
def main(user_id: str):
    return user_id


# Модель Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Это можно использовать так:

```Python

            "coverageArch" to arch.name.lowercase(),
            "coverageJvmVendor" to testJvmVendor,
            "coverageJvmVersion" to "java$testJvmVersion",
        )
    return (
        listOf(
            "-PtestJavaVersion=$testJvmVersion",
            "-PtestJavaVendor=$testJvmVendor",
        ) +
            buildScanTags.map { buildScanTagParam(it) } +

      <codeSegments>
        <codeSegment>
          <version>2.0.0+</version>
          <code><![CDATA[
    public String getPluginLookupKey() {
        return groupId + ":" + artifactId;
    }

    public String getId() {
        return groupId + ":" + artifactId + ":" + version;
    }

          ]]></code>
        </codeSegment>
      </codeSegments>
    </class>

* kubectl rolling-update support for same image ([#24645](https://github.com/kubernetes/kubernetes/pull/24645), [@jlowdermilk](https://github.com/jlowdermilk))
* Return "410 Gone" errors via watch stream when using watch cache ([#25369](https://github.com/kubernetes/kubernetes/pull/25369), [@liggitt](https://github.com/liggitt))



# v1.2.4

```Python hl_lines="1"
async def get_burgers(number: int):
    # ハンバーガーを作成するために非同期処理を実行
    return burgers
```

...`def` のかわりに:

```Python hl_lines="2"
# 非同期ではない
def get_sequential_burgers(number: int):
    # ハンバーガーを作成するためにシーケンシャルな処理を実行
    return burgers
```
`async def` を使用すると、Pythonにその関数内で `await` 式 (その関数の実行を「一時停止⏸」し、結果が戻るまで他の何かを実行🔀する) を認識しなければならないと伝えることができます。

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


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


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

### Dockerfile

Ahora, en el mismo directorio del proyecto, crea un archivo `Dockerfile` con: