addFieldToSource(sourceMap, "x121Address", x121Address);
        }
        return sourceMap;
    }

    protected void addFieldToSource(Map<String, Object> sourceMap, String field, Object value) {
        sourceMap.put(field, value);
    }

    // ===================================================================================
    //                                                                      Basic Override

        byte[] buffer = new byte[1024];
        int bytesWritten = request.writeBytesWireFormat(buffer, 0);

        assertTrue(bytesWritten > 0);

        // Verify structure size field
        assertEquals(57, buffer[0]);
        assertEquals(0, buffer[1]);
    }

    @Test
    @DisplayName("Test writeBytesWireFormat with long path")
    void testWriteBytesWireFormatLongPath() {

        crawlJob = new CrawlJob();
    }

    @Override
    protected void tearDown(TestInfo testInfo) throws Exception {
        super.tearDown(testInfo);
    }

    // Test constructor and field initialization
    @Test
    public void test_constructor() {
        assertNotNull(crawlJob);
        assertEquals(Constants.CRAWLING_INFO_SYSTEM_NAME, crawlJob.namespace);
        assertNull(crawlJob.webConfigIds);

    interface Transformer {
        /**
         * Interpolate the value read from the xml document
         *
         * @param source    The source value
         * @param fieldName A description of the field being interpolated. The implementation may use this to
         *                  log stuff.
         * @return the interpolated value
         */
        String transform(String source, String fieldName);
    }

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. Мы по-прежнему импортируем `field` из стандартных `dataclasses`.

2. `pydantic.dataclasses` — полностью совместимая замена (drop-in replacement) для `dataclasses`.

3. Dataclass `Author` содержит список dataclass `Item`.

async def unrelated(foo: Annotated[str, object()]):
    return {"foo": foo}


client = TestClient(app)

foo_is_missing = {
    "detail": [
        {
            "loc": ["query", "foo"],
            "msg": "Field required",
            "type": "missing",
            "input": None,
        }
    ]
}
foo_is_short = {
    "detail": [
        {
            "ctx": {"min_length": 1},
            "loc": ["query", "foo"],

                    throw new PACDecodingException("Decryption failed " + serverKey.getKeyType(), e);
                }
                break;
            default:
                throw new PACDecodingException("Unrecognized field " + tagged.getTagNo());
            }
        }

    }

    /**
     * Returns the user principal name from the ticket.
     *
     * @return the user principal name
     */

        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();

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. Wir importieren `field` weiterhin von Standard-`dataclasses`.

2. `pydantic.dataclasses` ist ein direkter Ersatz für `dataclasses`.

3. Die Datenklasse `Author` enthält eine Liste von `Item`-Datenklassen.

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

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

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.