*/
public abstract class ConstructorUtil {

    /**
     * Do not instantiate.
     */
    protected ConstructorUtil() {
    }

    /**
     * Creates and initializes a new instance of the class declared by the specified constructor with the given initialization parameters.
     *
     * @param <T> the type of the object
     * @param constructor the constructor (must not be {@literal null})

        }

        // Get the directory containing this POM
        Path parentDir = pomPath.getParent();
        if (parentDir == null) {
            return false;
        }

        // Get declared subprojects
        Set<String> declaredSubprojects = subprojectElements.stream()
                .map(Element::textContentTrimmed)
                .filter(name -> !name.isEmpty())

     * List<SourceRoot> enabledRoots = project.getSourceRoots()
     *         .stream().filter(SourceRoot::enabled).toList();
     * }</pre>
     *
     * The iteration order is the order in which the sources are declared in the POM file.
     *
     * @param project the project for which to get the source roots
     */
    @Nonnull
    Collection<SourceRoot> getSourceRoots(@Nonnull Project project);

    /**

  # To guarantee Maintained check is occasionally updated. See
  # https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained
  schedule:
    - cron: '26 3 * * 2'
  push:
    branches: [ "master" ]

# Declare default permissions as read only.
permissions: read-all

jobs:
  analysis:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: Scorecards analysis
    runs-on: ubuntu-latest

Essas funções podem ser declaradas com `async def` ou `def` normal.

### Evento `startup` { #startup-event }

Para adicionar uma função que deve rodar antes de a aplicação iniciar, declare-a com o evento `"startup"`:

{* ../../docs_src/events/tutorial001_py39.py hl[8] *}

Nesse caso, a função de manipulador do evento `startup` inicializará os itens do "banco de dados" (apenas um `dict`) com alguns valores.

Обратите внимание, что функция `Field` импортируется непосредственно из `pydantic`, а не из `fastapi`, как все остальные функции (`Query`, `Path`, `Body` и т.д.).

///

## Объявление атрибутов модели { #declare-model-attributes }

Вы можете использовать функцию `Field` с атрибутами модели:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

 *       typically because the type forbids nullable type arguments: For example, {@code
 *       ImmutableList.get} returns {@code E}, but that value is never {@code null}. (Accordingly,
 *       {@code ImmutableList} is declared to forbid {@code ImmutableList<@Nullable String>}.)
 *   <li>methods whose return type is a type variable but which can return {@code null} regardless
 *       of the type argument supplied by the user of the class: For example, {@code

 *       typically because the type forbids nullable type arguments: For example, {@code
 *       ImmutableList.get} returns {@code E}, but that value is never {@code null}. (Accordingly,
 *       {@code ImmutableList} is declared to forbid {@code ImmutableList<@Nullable String>}.)
 *   <li>methods whose return type is a type variable but which can return {@code null} regardless
 *       of the type argument supplied by the user of the class: For example, {@code

But you can still document it as described in [Additional Responses in OpenAPI](additional-responses.md){.internal-link target=_blank}.

 *       typically because the type forbids nullable type arguments: For example, {@code
 *       ImmutableList.get} returns {@code E}, but that value is never {@code null}. (Accordingly,
 *       {@code ImmutableList} is declared to forbid {@code ImmutableList<@Nullable String>}.)
 *   <li>methods whose return type is a type variable but which can return {@code null} regardless
 *       of the type argument supplied by the user of the class: For example, {@code