}
            return new URL(url);
        }
        return null;
    }

    /**
     * Adds a field extraction rule with pruning option.
     *
     * @param name the field name
     * @param xpath the XPath expression for extraction
     * @param isPruned whether the extracted content should be pruned
     */

  /*
   * Per JDK: "the behavior of a map entry is undefined if the backing map has been modified after
   * the entry was returned by the iterator, except through the setValue operation on the map entry"
   * As such, this field must be cleared before every map mutation.
   *
   * Note about volatile: volatile doesn't make it safe to read from a mutable graph in one thread

        }
        // Convert milliseconds to 100-nanosecond intervals
        // 1 ms = 10,000 * 100ns intervals
        long intervals = timeoutMs * 10000L;
        // MS-SMB2 timeout field is 4 bytes (uint32), so clamp to max value
        return Math.min(intervals, 0xFFFFFFFFL);
    }

    /**
     * Get the flags
     * @return the flags
     */
    public int getFlags() {

You can achieve that using <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">Pydantic's `AfterValidator`</a> inside of `Annotated`.

/// tip

Pydantic also has <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> and others. 🤓

///

* `Field(primary_key=True)` informa ao SQLModel que o `id` é a **chave primária** no banco de dados SQL (você pode aprender mais sobre chaves primárias SQL na documentação do SQLModel).

    Ao ter o tipo como `int | None`, o SQLModel saberá que essa coluna deve ser um `INTEGER` no banco de dados SQL e que ela deve ser `NULLABLE`.

            m.ptype = 0;
            m.flags = flag;

            NdrBuffer buf = new NdrBuffer(new byte[1024], 0);
            m.encode(buf);

            // Reset and skip to flags field
            buf.setIndex(3);
            assertEquals(flag, buf.dec_ndr_small());
        }
    }

in this list response. If the list request contained label or field selectors, then the number of remaining items is unknown and the field will be left unset and omitted during serialization. If the list is complete (either because it is not chunking or because this is the last chunk), then there are no more remaining items and this field will be left unset and omitted during serialization. Servers older than v1.15 do not set this field. The intended use of the remainingItemCount is *estimating* the...

 * for the entrySet method to ensure language fields appear first in iteration order.
 * Used throughout the Fess search system for document data manipulation.
 *
 */
public class DocMap implements Map<String, Object> {

    /** The key used for language field identification */
    private static final String LANG_KEY = "lang";

        try {
            var f = target.getClass().getDeclaredField(name);
            f.setAccessible(true);
            return f.get(target);
        } catch (Exception e) {
            fail("access field " + name, e);
            return null;
        }
    }

    private static int invokeProtectedInt(Object target, String name, Object... params) {
        try {
            var cls = target.getClass();

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses/tutorial003.py hl[1,5,8:11,14:17,23:25,28] *}

1. We still import `field` from standard `dataclasses`.

2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.

3. The `Author` dataclass includes a list of `Item` dataclasses.