*/
  @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] *}

				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 }

			return err
		}
	} else {
		// Evaluate the (only) argument
		val, err = e.SFunc.ArgsList[0].evalNode(r, tableAlias)
		if err != nil {
			return err
		}
	}

	if val.IsNull() {
		// E.g. the column or field does not exist in the
		// record - in all such cases the aggregation is not
		// updated.
		return nil
	}

	argVal := val
	if funcName != aggFnCount {
		// All aggregation functions, except COUNT require a

## Multiple File Uploads { #multiple-file-uploads }

It's possible to upload several files at the same time.

They would be associated to the same "form field" sent using "form data".

To use that, declare a list of `bytes` or `UploadFile`:

{* ../../docs_src/request_files/tutorial002_an_py39.py hl[10,15] *}

Puedes lograr eso usando <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">`AfterValidator` de Pydantic</a> dentro de `Annotated`.

/// tip | Consejo

Pydantic también tiene <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> y otros. 🤓

///

	if !strings.HasPrefix(hostAddr, "http://") && !strings.HasPrefix(hostAddr, "https://") {
		hostAddr = "//" + hostAddr
	}

	// Parse address to extract host and scheme field
	u, err := url.Parse(hostAddr)
	if err != nil {
		return "", "", err
	}

	addr = u.Host
	scheme = u.Scheme

	// Use the given parameter again if url.Parse()
	// didn't return any useful result.