assertEquals(
                canonical,
                parsedCanonical,
                "canonical( " + version + " ) = " + canonical + " -> canonical: " + parsedCanonical);

        return ret;
    }

    private static final String[] VERSIONS_QUALIFIER = {
        "1-alpha2snapshot",
        "1-alpha2",
        "1-alpha-123",
        "1-beta-2",
        "1-beta123",
        "1-m2",

```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
```

که سپس میتوان به این شکل از آن استفاده کرد:

```Python

        NodeStatusRequest spyRequest = spy(nodeStatusRequest);
        doAnswer(invocation -> {
            // Verify hexCode is 0 during the call
            assertEquals(0x00, mockName.hexCode);
            return 40;
        }).when(spyRequest).writeQuestionSectionWireFormat(any(byte[].class), anyInt());

        // Act
        spyRequest.writeBodyWireFormat(dst, 0);

        // Assert

Перевага використання `генерації` (raise) помилки замість `повернення` значення (return) стане більш очевидним в розділі про Залежності та Безпеку.

У цьому прикладі, якщо клієнт запитує елемент за ID, якого не існує, буде згенеровано помилку зі статус-кодом `404`:

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que luego puede ser usado como:

```Python

```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` ⏮️:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9

		for _, objectName := range objectNames {
			objectList = append(objectList, ObjectToDelete{
				ObjectV: ObjectV{
					ObjectName: objectName,
				},
			})
		}

		return objectList
	}

	getDeleteErrorList := func(objects []ObjectToDelete) (deleteErrorList []DeleteError) {
		for _, obj := range objects {
			deleteErrorList = append(deleteErrorList, DeleteError{

如果你寫帶有 Python 型別的程式碼：

```python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):
    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```


可以像這樣來使用：

```python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

    private SmbInfoAllocation smbInfoAllocation;

    @BeforeEach
    void setUp() {
        smbInfoAllocation = new SmbInfoAllocation();
    }

    @Test
    @DisplayName("Test getFileSystemInformationClass returns SMB_INFO_ALLOCATION")
    void testGetFileSystemInformationClass() {
        assertEquals(FileSystemInformation.SMB_INFO_ALLOCATION, smbInfoAllocation.getFileSystemInformationClass());
    }

    @Test

      assertThat(expected.message!!).contains("closed")
    }
  }

  private fun binaryData(length: Int): ByteString {
    val junk = ByteArray(length)
    random.nextBytes(junk)
    return junk.toByteString()
  }