nullStr     = "NULL"
)

func isPrintable(s string) bool {
	for _, r := range s {
		if !unicode.IsPrint(r) {
			return false
		}
	}
	return true
}

// A list of Go types that should be converted to SQL primitives
var convertibleTypes = []reflect.Type{reflect.TypeOf(time.Time{}), reflect.TypeOf(false), reflect.TypeOf([]byte{})}

// RegEx matches only numeric values
var numericPlaceholderRe = regexp.MustCompile(`\$\d+\$`)

// defined type (other than the default string). So this function
// always returns fields using sql.FromBytes so that the type
// specified/implied by the query can be used, or can be automatically
// converted based on the query.
func (r *Record) Get(name string) (*sql.Value, error) {
	index, found := r.nameIndexMap[name]
	if !found {
		// Check if index.
		if after, ok := strings.CutPrefix(name, "_"); ok {

    /**
     * Creates an EditBody from a StopwordsItem entity for API responses.
     *
     * @param entity the StopwordsItem entity to convert
     * @param dictId the dictionary ID
     * @return the converted EditBody object
     */
    protected EditBody createEditBody(final StopwordsItem entity, final String dictId) {
        final EditBody body = new EditBody();
        body.id = entity.getId();

{* ../../docs_src/path_operation_advanced_configuration/tutorial006_py310.py hl[19:36, 39:40] *}

In this example, we didn't declare any Pydantic model. In fact, the request body is not even <dfn title="converted from some plain format, like bytes, into Python objects">parsed</dfn> as JSON, it is read directly as `bytes`, and the function `magic_data_reader()` would be in charge of parsing it in some way.

* An optional `q` query parameter that is a `str`.
* A `skip` query parameter that is an `int`, with a default of `0`.
* A `limit` query parameter that is an `int`, with a default of `100`.

In both cases the data will be converted, validated, documented on the OpenAPI schema, etc.

## Use it { #use-it }

Now you can declare your dependency using this class.

{* ../../docs_src/dependencies/tutorial002_an_py310.py hl[19] *}

    }

    /**
     * Creates an EditBody from a KuromojiItem entity for API responses.
     *
     * @param entity the KuromojiItem entity to convert
     * @param dictId the dictionary ID
     * @return the converted EditBody object
     */
    protected EditBody createEditBody(final KuromojiItem entity, final String dictId) {
        final EditBody body = new EditBody();
        body.id = entity.getId();

///

## Hashing de senhas { #password-hashing }

"Hashing" significa converter algum conteúdo (uma senha neste caso) em uma sequência de bytes (apenas uma string) que parece um monte de caracteres sem sentido.

Sempre que você passar exatamente o mesmo conteúdo (exatamente a mesma senha), você obterá exatamente o mesmo resultado.

Mas não é possível converter os caracteres sem sentido de volta para a senha original.

     */
    public Map<K, V> getParent() {
        return parent;
    }

    /**
     * Converts a key to camelCase.
     *
     * @param key the key to convert
     * @return the converted key
     */
    protected Object toCamelCase(final Object key) {
        if (key == null) {
            return key;
        }
        String keyStr = key.toString();
        if (keyStr.indexOf('_') < 0) {

### Sem tipo de retorno { #no-return-type }

Você também pode omitir o tipo de retorno. O FastAPI então usará o [`jsonable_encoder`](./encoder.md) para converter os dados em algo que possa ser serializado para JSON e depois enviá-los como JSON Lines.

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[33:36] hl[34] *}

    }

    /**
     * Creates an EditBody from a Role entity.
     *
     * @param entity the role entity to convert
     * @return the converted EditBody
     */
    protected EditBody createEditBody(final Role entity) {
        final EditBody body = new EditBody();
        copyBeanToBean(entity, body, copyOp -> {
            copyOp.excludeNull();