*/
    @Test
    void toStringIncludesClassName() {
        TransWaitNamedPipeResponse resp = new TransWaitNamedPipeResponse();
        String str = resp.toString();
        assertNotNull(str, "toString should not return null");
        assertTrue(str.startsWith("TransWaitNamedPipeResponse["), "toString should begin with class name");
    }

    /**

    @Override
    public List<Character> create(Character[] elements) {
      char[] chars = Chars.toArray(asList(elements));
      StringBuilder str = new StringBuilder();
      str.append(chars);
      return charactersOf(str);
    }
  }

  private abstract static class TestUnhashableListGenerator
      extends TestUnhashableCollectionGenerator<List<UnhashableObject>>

* 💽 🛠️
* 💽 🔬
* 🏧 🧾

## 🎁 🆎 & 🔬

↖️ ⚪️➡️ 😐 ⭐ 🆎 💖 `str`, `int`, `float`, ♒️. 👆 💪 ⚙️ 🌅 🏗 ⭐ 🆎 👈 😖 ⚪️➡️ `str`.

👀 🌐 🎛 👆 ✔️, 🛒 🩺 <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic 😍 🆎</a>. 👆 🔜 👀 🖼 ⏭ 📃.

🖼, `Image` 🏷 👥 ✔️ `url` 🏑, 👥 💪 📣 ⚫️ ↩️ `str`, Pydantic `HttpUrl`:

{* ../../docs_src/body_nested_models/tutorial005.py hl[4,10] *}

    * Wird in Requests und Responses als `str` dargestellt.
* `datetime.datetime`:
    * Ein Python-`datetime.datetime`.
    * Wird in Requests und Responses als `str` im ISO 8601-Format dargestellt, etwa: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Python-`datetime.date`.
    * Wird in Requests und Responses als `str` im ISO 8601-Format dargestellt, etwa: `2008-09-15`.
* `datetime.time`:

    // Or, more simply, check the format of the string.
    @Test
    void testToStringFormat() {
        String str = response.toString();
        assert (str.startsWith("TransTransactNamedPipeResponse["));
        assert (str.endsWith("]"));
    }
}

// We need to add a helper method to TransTransactNamedPipeResponse to make the test more precise

     *
     * @param str
     *            the string to check
     * @return {@literal true} if the string is blank
     */
    public static boolean isBlank(final String str) {
        if (str == null || str.length() == 0) {
            return true;
        }
        for (int i = 0; i < str.length(); i++) {
            if (!Character.isWhitespace(str.charAt(i))) {
                return false;

        PacDataInputStream pdis = createInputStream(data);
        PacUnicodeString str = pdis.readUnicodeString();
        assertEquals(4, str.getLength());
        assertEquals(4, str.getMaxLength());
        assertEquals(0x1234, str.getPointer());
    }

    @Test
    public void testReadUnicodeStringMalformed() throws IOException {
        // length > maxLength

У цьому прикладі вона конвертує Pydantic model у `dict`, а `datetime` у `str`.

Результат виклику цієї функції - це щось, що можна кодувати з використанням стандарту Python <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

//// tab | Python 3.8+ sin Anotaciones

/// tip | Consejo

Prefiere usar la versión `Annotated` si es posible.

///

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):

     */
    private String sanitizeForLog(String str) {
        if (str == null) {
            return "null";
        }

        // Truncate long strings
        if (str.length() > 100) {
            str = str.substring(0, 100) + "...";
        }

        // Remove control characters
        return str.replaceAll("[\\x00-\\x1F\\x7F]", "?");
    }

    /**