* <code>SystemStreamLog</code> logger will be created and returned.
     * </p>
     * <strong>Note:</strong>
     * The logger returned by this method must not be cached in an instance field during the construction of the mojo.
     * This would cause the mojo to use a wrongly configured default logger when being run by Maven. The proper logger

  assertEquals("/v1/chat/messages/3", request3.url.encodedPath)

  // Shut down the server. Instances cannot be reused.
  server.close()
}
```

Your unit tests might move the `server` into a field so you can shut it down
from your test's `tearDown()`.

### API

#### MockResponse

Mock responses default to an empty response body and a `200` status code.

                        "uses the unsupported value 'legacy', artifact resolution might fail.");
            }
        }
    }

    // ----------------------------------------------------------------------
    // Field validation
    // ----------------------------------------------------------------------

    /**
     * Asserts:
     * <p/>
     * <ul>
     * <li><code>string.length != null</code>

   */
  @CanIgnoreReturnValue // to skip some bytes
  @Override
  public double readDouble() throws IOException {
    return Double.longBitsToDouble(readLong());
  }

  @CanIgnoreReturnValue // to skip a field
  @Override
  public String readUTF() throws IOException {
    return new DataInputStream(in).readUTF();
  }

  /**
   * Reads a {@code short} as specified by {@link DataInputStream#readShort()}, except using

  private static final LazyLogger log = new LazyLogger(ExecutionList.class);

  /**
   * The runnable, executor pairs to execute. This acts as a stack threaded through the {@link
   * RunnableExecutorPair#next} field.
   */
  @GuardedBy("this")
  private @Nullable RunnableExecutorPair runnables;

  @GuardedBy("this")
  private boolean executed;

  /** Creates a new, empty {@link ExecutionList}. */

     * <li>http://www.w3.org/TR/xhtml1/DTD/xhtml-special.ent</li>
     * <li>http://www.w3.org/TR/xhtml1/DTD/xhtml-symbol.ent</li>
     * </ul>
     */
    private boolean addDefaultEntities = true;

    /**
     * Field contentTransformer.
     */
    public final ContentTransformer contentTransformer;

    // ----------------/
    // - Constructors -/
    // ----------------/

    public CoreExtensionsXpp3Reader() {

You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.

This is useful if you don't know the valid field/attribute names (that would be needed for a Pydantic model) beforehand.

In this case, you can use `typing.Dict` (or just `dict` in Python 3.9 and above):

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

* `table=True` le dice a SQLModel que este es un *modelo de tabla*, que debe representar una **tabla** en la base de datos SQL, no es solo un *modelo de datos* (como lo sería cualquier otra clase regular de Pydantic).

* `Field(primary_key=True)` le dice a SQLModel que `id` es la **clave primaria** en la base de datos SQL (puedes aprender más sobre claves primarias de SQL en la documentación de SQLModel).

				if isDeprecated(n.Doc) {
					for _, id := range n.Names {
						mark(id)
					}
				}
				return false
			case *ast.Field:
				if isDeprecated(n.Doc) {
					for _, id := range n.Names {
						mark(id)
					}
					if len(n.Names) == 0 {
						// embedded field T or *T?
						typ := n.Type
						if ptr, ok := typ.(*ast.StarExpr); ok {
							typ = ptr.X
						}

            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

вы получите текстовую версию:

```
Validation errors:
Field: ('path', 'item_id'), Error: Input should be a valid integer, unable to parse string as an integer
```

### Переопределите обработчик ошибок `HTTPException` { #override-the-httpexception-error-handler }