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{

```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 }

Erstellen Sie nun im selben Projektverzeichnis eine Datei `Dockerfile` mit:

	cc := make(chan struct{})
	go func() {
		select {
		case <-cc:
			return
		case <-c:
			buf := make([]byte, 1<<20)
			stacklen := runtime.Stack(buf, true)
			fmt.Printf("=== Timeout, assuming deadlock ===\n*** goroutine dump...\n%s\n*** end\n", string(buf[:stacklen]))
			os.Exit(2)
		}
	}()
	return func() {
		close(cc)
	}

        ModelBuildingRequest config = new DefaultModelBuildingRequest();
        if (p != null) {
            config.setSystemProperties(p);
        }
        return config;
    }

    @Test
    public void testDefaultBuildTimestampFormatShouldFormatTimeIn24HourFormat() {
        Calendar cal = Calendar.getInstance();

    // UNIT TESTS - Always run, no external deps
    // ============================================

    @Test
    public void testRdmaProviderSelectionAlwaysReturnsProvider() {
        // This should always return at least the TCP fallback provider
        RdmaProvider provider = RdmaProviderFactory.selectBestProvider();
        assertNotNull(provider, "Should always select an RDMA provider (at minimum TCP fallback)");

```Python
from datetime import date

from pydantic import BaseModel

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


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python

```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
```

That can then be used like:

```Python

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

from pydantic import BaseModel

# Değişkeni str olarak belirt
# ve o fonksiyon için harika bir editör desteği al
def main(user_id: str):
    return user_id


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

Sonrasında bu şekilde kullanabilirsin

```Python

```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

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