* Bei `PUT`-Anfragen an `/items/{item_id}` den Body als JSON lesen:
    * Prüfen, ob er ein erforderliches Attribut `name` hat, das ein `str` sein muss.
    * Prüfen, ob er ein erforderliches Attribut `price` hat, das ein `float` sein muss.
    * Prüfen, ob er ein optionales Attribut `is_offer` hat, das ein `bool` sein muss, falls vorhanden.

 *   <li>POST</li>
 *   <li>PUT</li>
 *   <li>DELETE</li>
 *   <li>HEAD</li>
 *   <li>OPTIONS</li>
 *   <li>CONNECT</li>
 * </ul>
 *
 * <p>The Curl class also defines an enum {@link Method} which lists all supported HTTP methods.</p>
 *
 * <p>The temporary directory used by Curl is defined by the {@code tmpDir} field, which is initialized
 * to the system's temporary directory.</p>
 */
public class Curl {

    /**

import java.util.Map.Entry;
import junit.framework.TestSuite;
import org.jspecify.annotations.NullUnmarked;

/**
 * A generator of {@code TestSuite} instances for testing {@code CharSource} implementations.
 * Generates tests of all methods on a {@code CharSource} given various inputs the source is
 * expected to contain.
 *
 * @author Colin Decker
 */
@AndroidIncompatible // TODO(b/230620681): Make this available (even though we won't run it).

As they are part of the URL, they are "naturally" strings.

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)
* Data <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>

            fail("Expected NullPointerException, not IOException");
        }
    }

    @Test
    public void testMemoryCacheWithBinaryData() throws IOException {
        // Test with binary data containing all byte values
        byte[] data = new byte[256];
        for (int i = 0; i < 256; i++) {
            data[i] = (byte) i;
        }

        ContentCache cache = new ContentCache(data);

 * This class contains NDR (Network Data Representation) encodable/decodable structures
 * used in DCE/RPC communications including UUID, policy handles, unicode strings, and SIDs.
 */
@SuppressWarnings("all")
public class rpc {

    /**
     * Private constructor to prevent instantiation of utility class.
     */
    private rpc() {
        // Utility class
    }

    /**

        Properties props = new Properties();
        config = new PropertyConfiguration(props);
    }

    @Test
    void testConstructor() {
        // Test constructor initializes all fields correctly
        trans2QueryPathInfo = new Trans2QueryPathInformation(config, TEST_FILENAME, TEST_INFO_LEVEL);

        assertNotNull(trans2QueryPathInfo);

					return tx.callbacks.Create().Execute(tx)
				}
			}
		}

		fallthrough
	default:
		selectedUpdate := len(tx.Statement.Selects) != 0
		// when updating, use all fields including those zero-value fields
		if !selectedUpdate {
			tx.Statement.Selects = append(tx.Statement.Selects, "*")
		}

		updateTx := tx.callbacks.Update().Execute(tx.Session(&Session{Initialized: true}))

  }

  /**
   * Provides a check of whether an exception type is valid for use with {@link
   * FuturesGetChecked#getChecked(Future, Class)}, possibly using caching.
   *
   * <p>Uses reflection to gracefully fall back to when certain implementations aren't available.
   */
  private static final class GetCheckedTypeValidatorHolder {
    static final GetCheckedTypeValidator BEST_VALIDATOR = getBestValidator();

Das ist nützlich, wenn Sie die gültigen Feld-/Attribut-Namen von vorneherein nicht wissen (was für ein Pydantic-Modell notwendig ist).

In diesem Fall können Sie `typing.Dict` verwenden (oder nur `dict` in Python 3.9 und darüber):

{* ../../docs_src/extra_models/tutorial005_py39.py hl[6] *}

## Zusammenfassung