+ ")") : "(cache)";
      int responseCode = response.code();

      System.out.printf("%03d: %s %s%n", responseCode, url, responseSource);

      String contentType = response.header("Content-Type");
      if (responseCode != 200 || contentType == null) {
        return;
      }

      MediaType mediaType = MediaType.parse(contentType);

* `close()`：关闭文件。

由于这些方法都是 `async` 方法，你需要对它们使用 await。

例如，在 `async` *路径操作函数* 内，你可以这样获取内容：

```Python
contents = await myfile.read()
```

如果是在普通 `def` *路径操作函数* 内，你可以直接访问 `UploadFile.file`，例如：

```Python
contents = myfile.file.read()
```

/// note | `async` 技术细节

当你使用这些 `async` 方法时，**FastAPI** 会在线程池中运行相应的文件方法并等待其完成。

///

/// note | Starlette 技术细节

                .header("Pragma", "no-cache")//
                .header("Cache-Control", "no-cache")//
                .header("Expires", "Thu, 01 Dec 1994 16:00:00 GMT")//
                .header("Content-Type", "application/x-ndjson")//
                .stream(out -> {
                    try (final Writer writer = new BufferedWriter(new OutputStreamWriter(out.stream(), Constants.CHARSET_UTF_8))) {

    * Ein weiteres Beispiel wäre `201`, „Created“ („Erzeugt“). Dieser wird üblicherweise verwendet, nachdem ein neuer Datensatz in der Datenbank erstellt wurde.
    * Ein spezieller Fall ist `204`, „No Content“ („Kein Inhalt“). Diese Response wird verwendet, wenn es keinen Inhalt gibt, der an den Client zurückgeschickt werden soll, und diese Response darf daher keinen Body haben.

    * Другим примером может быть статус `201`, "Created". Он обычно используется после создания новой записи в базе данных.
    * Особый случай – `204`, "No Content". Этот статус ответа используется, когда нет содержимого для возврата клиенту, и поэтому ответ не должен иметь тела.

                repo.setUrl(repoUrl);
                repo.metadataSources(IvyArtifactRepository.MetadataSources::artifact);
                repo.patternLayout(layout -> layout.artifact(artifactPattern));
                repo.content(repositoryContentDescriptor -> repositoryContentDescriptor.includeGroup(groupName(jdk)));
            });
        }
    }

    @SuppressWarnings("unchecked")

     */
    public String getSimpleName() {
        return new File(path).getName();
    }

    /**
     * Updates the dictionary file with content from an input stream.
     *
     * @param in The input stream containing the new dictionary content.
     * @throws IOException if an I/O error occurs.
     */
    public synchronized void update(final InputStream in) throws IOException {

    }

    @Test
    public void test_constructorWithThrowableCause_StackOverflowError() {
        // Test with StackOverflowError
        String url = "http://example.com/recursive-content";
        String message = "Stack overflow during content parsing";
        StackOverflowError error = new StackOverflowError("Recursive parsing detected");

                    return "boost";
                case FessConfig.INDEX_FIELD_TITLE:
                    return "title";
                case FessConfig.INDEX_FIELD_CONTENT:
                    return "content";
                // Index admin fields
                case FessConfig.INDEX_ADMIN_INTEGER_FIELDS:
                    return "boost";
                case FessConfig.INDEX_ADMIN_LONG_FIELDS:

better not to suggest changes in the same pull request, because it is LLM generated, and it won't be possible to make sure that small individual changes are replicated in other similar sections, or that they are preserved when translating the same content again.

Instead of adding suggestions to the translation PR, make the suggestions to the LLM prompt file for that language, in a new PR. For example, for Spanish, the LLM prompt file is at: [`docs/es/llm-prompt.md`](https://github.com/f...