errors.invalid_str_is_included = {1} is invalid for {0}.
errors.blank_password = Password is required.
errors.invalid_confirm_password = Does not match a confirmation password.
errors.cannot_delete_doc_because_of_running = A crawler is running. You cannot delete documents.
errors.failed_to_delete_doc_in_admin = Failed to delete a document.
errors.failed_to_send_testmail=Failed to send a test mail.

errors.invalid_str_is_included = {1} is invalid for {0}.
errors.blank_password = Password is required.
errors.invalid_confirm_password = Does not match a confirmation password.
errors.cannot_delete_doc_because_of_running = A crawler is running. You cannot delete documents.
errors.failed_to_delete_doc_in_admin = Failed to delete a document.
errors.failed_to_send_testmail=Failed to send a test mail.

    * Pydantic'in veri yapıları aslında sadece senin tanımladığın classlar; Bu yüzden doğrulanmış dataların ile otomatik tamamlama, linting ve mypy'ı kullanarak sorunsuz bir şekilde çalışabilirsin
* **En kompleks** yapıları bile doğrula:
    * Hiyerarşik Pydantic modellerinin kullanımı ile beraber, Python `typing`’s `List` and `Dict`, vs gibi şeyleri doğrula.

    * Ponieważ struktury danych Pydantic to po prostu instancje klas, które definiujesz; autouzupełnianie, linting, mypy i twoja intuicja powinny działać poprawnie z Twoimi zwalidowanymi danymi.
* Walidacja **złożonych struktur**:
    * Wykorzystanie hierarchicznych modeli Pydantic, Pythonowego modułu `typing` zawierającego `List`, `Dict`, itp.

    * Weil Pydantics Datenstrukturen einfach nur Instanzen ihrer definierten Klassen sind; Autovervollständigung, Linting, mypy und ihre Intuition sollten alle einwandfrei mit ihren validierten Daten funktionieren.
* Validierung von **komplexen Strukturen**:
    * Benutzung von hierarchischen Pydantic-Modellen, Python-`typing`s `List` und `Dict`, etc.

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.

### 애플리케이션 실행하기

애플리케이션을 실행하려면 다음 명령을 사용합니다:

<div class="termy">

```console
$ fastapi dev main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

그런 다음 `/docs` UI로 이동하면, **FastAPI**가 해당 **model들**을 사용하여 API **문서를 생성**하는 것으르 확인할 수 있습니다. 또한 이 모델들은 데이터를 직렬화하고 검증하는 데에도 사용됩니다.

  - [Major Themes](#major-themes)
    - [Dockershim Removed from kubelet](#dockershim-removed-from-kubelet)
    - [Beta APIs Off by Default](#beta-apis-off-by-default)
    - [Signing Release Artifacts](#signing-release-artifacts)
    - [OpenAPI v3](#openapi-v3)
    - [Storage Capacity and Volume Expansion Are Generally Available](#storage-capacity-and-volume-expansion-are-generally-available)

    }

    /**
     * Increments the thread reference count for the specified crawler object.
     * Used when the same object is being processed on multiple threads.
     *
     * @param keyObj the crawler object running on an additional thread
     */
    public void runOnThread(final Object keyObj) {
        getCacheKey(keyObj).ifPresent(key -> {
            try {
                final StatsObject data = statsCache.getIfPresent(key);

            jcifs.CIFSContext context = createDefaultContext();

            // Create transport with multi-channel specific settings
            // Multi-channel transports should use signing consistently with the main session
            boolean forceSigning = context.getConfig().isSigningEnforced();