// conflicts across different test runs.
  private <E extends Enum<E>>
      CycleDetectingLockFactory.WithExplicitOrdering<E> newInstanceWithExplicitOrdering(
          Class<E> enumClass, Policy policy) {
    return new CycleDetectingLockFactory.WithExplicitOrdering<E>(
        policy, CycleDetectingLockFactory.createNodes(enumClass));
  }

  public void testDeadlock_twoLocks() {
    // Establish an acquisition order of lockA -> lockB.

  // conflicts across different test runs.
  private <E extends Enum<E>>
      CycleDetectingLockFactory.WithExplicitOrdering<E> newInstanceWithExplicitOrdering(
          Class<E> enumClass, Policy policy) {
    return new CycleDetectingLockFactory.WithExplicitOrdering<E>(
        policy, CycleDetectingLockFactory.createNodes(enumClass));
  }

  public void testDeadlock_twoLocks() {
    // Establish an acquisition order of lockA -> lockB.

    // 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 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

특히 사용자 모델의 경우에 그러한데, 왜냐하면:

* **입력 모델** 은 비밀번호를 가져야 합니다.
* **출력 모델** 은 비밀번호를 가지면 안됩니다.
* **데이터베이스 모델** 은 해시처리된 비밀번호를 가질 것입니다.

/// danger | 위험

절대 사용자의 비밀번호를 평문으로 저장하지 마세요. 항상 이후에 검증 가능한 "안전한 해시(secure hash)"로 저장하세요.

만약 이게 무엇인지 모르겠다면, [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.에서 비밀번호 해시에 대해 배울 수 있습니다.

///

## 다중 모델

```Python
from datetime import date

from pydantic import BaseModel

# Zadeklaruj parametr jako str
# i uzyskaj wsparcie edytora wewnątrz funkcji
def main(user_id: str):
    return user_id


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

A one będą mogły zostać później użyte w następujący sposób:

```Python

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


# 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

* Added DNS Reverse Record logic for service IPs ([#26226](https://github.com/kubernetes/kubernetes/pull/26226), [@ArtfulCoder](https://github.com/ArtfulCoder))

```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

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