return defaultSettings;
    }

    private List<Tuple<String, Object>> defaultArraySettings() {
        final List<Tuple<String, Object>> tuples = new ArrayList<>();
        tuples.add(new Tuple<>(DefaultKeys.SUPPORTED_FIELDS, "content"));
        return tuples;
    }

    /**
     * Loads the index settings from a resource file.

Did you notice? a string using `value.startswith()` can take a tuple, and it will check each value in the tuple:

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### A Random Item { #a-random-item }

With `data.items()` we get an <dfn title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</dfn> with tuples containing the key and value for each dictionary item.

     */
    protected final List<ThumbnailGenerator> generatorList = new ArrayList<>();

    /**
     * Queue for thumbnail generation tasks containing URL, content, and path tuples.
     */
    protected BlockingQueue<Tuple3<String, String, String>> thumbnailTaskQueue;

    /**
     * Flag indicating whether thumbnail generation is currently in progress.
     */
    protected volatile boolean generating;

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### Un élément aléatoire { #a-random-item }

    * `tf.types.experimental.TraceType` now allows custom tf.function inputs to declare Tensor decomposition and type casting support.

<img src="/img/python-types/image05.png">

Ohne Typen ist das fast unmöglich zu erreichen.

Beachten Sie, dass die Variable `item` eines der Elemente in der Liste `items` ist.

Und trotzdem weiß der Editor, dass es sich um ein `str` handelt, und bietet entsprechende Unterstützung.

#### Tupel und Menge { #tuple-and-set }

import types
from collections.abc import Callable
from enum import Enum
from typing import Any, TypeVar, Union

from pydantic import BaseModel
from pydantic.main import IncEx as IncEx

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = dict[type[BaseModel] | type[Enum], str]

<img src="/img/python-types/image05.png">

타입이 없으면, 이는 거의 불가능합니다.

변수 `item`이 리스트 `items`의 요소 중 하나라는 점에 주목하세요.

그리고 에디터는 여전히 이것이 `str`임을 알고, 그에 대한 지원을 제공합니다.

#### Tuple과 Set { #tuple-and-set }

`tuple`과 `set`도 동일하게 선언할 수 있습니다:

{* ../../docs_src/python_types/tutorial007_py310.py hl[1] *}

이는 다음을 의미합니다:

* 변수 `items_t`는 3개의 아이템을 가진 `tuple`이며, `int`, 또 다른 `int`, 그리고 `str`입니다.

    print(data)
```

### Generic types { #generic-types }

Some types can take "type parameters" in square brackets, to define their internal types, for example a "list of strings" would be declared `list[str]`.

These types that can take type parameters are called **Generic types** or **Generics**.

You can use the same builtin types as generics (with square brackets and types inside):

* `list`
* `tuple`
* `set`

 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/CollectionUtilitiesExplained#tables">{@code Tables}</a>.
 *
 * @author Jared Levy
 * @author Louis Wasserman
 * @since 7.0
 */
@GwtCompatible
public final class Tables {
  private Tables() {}

  /**
   * Returns a {@link Collector} that accumulates elements into a {@code Table} created using the