* </p>
 * <ul>
 *   <li>Starting and finishing threads</li>
 *   <li>Starting and cleaning up crawling</li>
 *   <li>Handling unsupported URLs</li>
 *   <li>Checking last modified dates</li>
 *   <li>Getting content</li>
 *   <li>Handling redirects</li>
 *   <li>Processing responses</li>
 *   <li>Handling exceptions during crawling and child URL processing</li>
 *   <li>Handling cases where no URL is in the queue</li>

  Each contributor grants you a non-exclusive, worldwide, royalty-free
patent license under the contributor's essential patent claims, to
make, use, sell, offer for sale, import and otherwise run, modify and
propagate the contents of its contributor version.

  In the following three paragraphs, a "patent license" is any express
agreement or commitment, however denominated, not to enforce a patent

	tmpDir := t.TempDir()

	volume := "testvol"
	filePath := "testfile"

	disk, err := newLocalXLStorage(tmpDir)
	if err != nil {
		t.Fatal(err)
	}

	disk.MakeVol(t.Context(), volume)

	writer := newBitrotWriter(disk, "", volume, filePath, 35, bitrotAlgo, 10)

	_, err = writer.Write([]byte("aaaaaaaaaa"))
	if err != nil {
		t.Fatal(err)
	}
	_, err = writer.Write([]byte("aaaaaaaaaa"))

    public static final String FS_FILE_GROUPS = "fsFileGroups";

    /** Character encoding for files */
    protected String charset = Constants.UTF_8;

    /** Helper for managing content length limits */
    @Resource
    protected ContentLengthHelper contentLengthHelper;

    /** Flag to track initialization status */
    protected AtomicBoolean isInit = new AtomicBoolean(false);

    /**

Veja como pode parecer:

<img src="/img/tutorial/debugging/image01.png">

---

Se você usar o Pycharm, você pode:

* Abrir o menu "Executar".
* Selecionar a opção "Depurar...".
* Então um menu de contexto aparece.
* Selecionar o arquivo para depurar (neste caso, `main.py`).

Em seguida, ele iniciará o servidor com seu código **FastAPI**, parará em seus pontos de interrupção, etc.

Veja como pode parecer:

 * into a ResultData object, and for retrieving the binary data from an AccessResultData object.
 * It extends the AbstractTransformer class.
 *
 * <p>
 * This transformer extracts the binary content from the response body of a web resource,
 * stores it as a byte array in the ResultData, and provides a method to retrieve this data
 * as a ByteArrayInputStream.
 * </p>
 *
 * <p>

	handlerName := getHandlerName(f, "adminAPIHandlers")

	var handler http.HandlerFunc = func(w http.ResponseWriter, r *http.Request) {
		// Update request context with `logger.ReqInfo`.
		r = r.WithContext(newContext(r, w, handlerName))

		defer logger.AuditLog(r.Context(), w, r, mustGetClaimsFromToken(r))

		// Check if object layer is available, if not return error early.
		if !handlerFlags.Has(noObjLayerFlag) {

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

This is still supported thanks to **Pydantic**, as it has <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">internal support for `dataclasses`</a>.

	  #     value: "pick*" # match objects with tag 'name', with all values starting with 'pick'

	  ## NOTE: metadata filter not supported when "source" is non MinIO.
	  # metadata:
	  #   - key: "content-type"
	  #     value: "image/*" # match objects with 'content-type', with all values starting with 'image/'

	notify:
	  endpoint: "https://notify.endpoint" # notification endpoint to receive job status events

The next sections assume you already read the main [Tutorial - User Guide: Security](../../tutorial/security/index.md){.internal-link target=_blank}.