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docs/uk/docs/python-types.md
Зверніть увагу, що змінна `item` є одним із елементів у списку `items`. І все ж редактор знає, що це `str`, і надає підтримку для цього. #### Tuple and Set (кортеж та набір) Ви повинні зробити те ж саме, щоб оголосити `tuple` і `set`: === "Python 3.8 і вище" ```Python hl_lines="1 4" {!> ../../../docs_src/python_types/tutorial007.py!} ``` === "Python 3.9 і вище"
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docs/ru/docs/python-types.md
И все же редактор знает, что это `str`, и поддерживает это. #### `Tuple` и `Set` Вы бы сделали то же самое, чтобы объявить `tuple` и `set`: ```Python hl_lines="1 4" {!../../../docs_src/python_types/tutorial007.py!} ``` Это означает: * Переменная `items_t` является `tuple` с 3 элементами: `int`, другим `int` и `str`.
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docs/en/docs/python-types.md
Notice that the variable `item` is one of the elements in the list `items`. And still, the editor knows it is a `str`, and provides support for that. #### Tuple and Set You would do the same to declare `tuple`s and `set`s: === "Python 3.9+" ```Python hl_lines="1" {!> ../../../docs_src/python_types/tutorial007_py39.py!} ``` === "Python 3.8+"
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fastapi/encoders.py
} def generate_encoders_by_class_tuples( type_encoder_map: Dict[Any, Callable[[Any], Any]], ) -> Dict[Callable[[Any], Any], Tuple[Any, ...]]: encoders_by_class_tuples: Dict[Callable[[Any], Any], Tuple[Any, ...]] = defaultdict( tuple ) for type_, encoder in type_encoder_map.items(): encoders_by_class_tuples[encoder] += (type_,) return encoders_by_class_tuples
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fastapi/_compat.py
sequence_annotation_to_type = { Sequence: list, List: list, list: list, Tuple: tuple, tuple: tuple, Set: set, set: set, FrozenSet: frozenset, frozenset: frozenset, Deque: deque, deque: deque, } sequence_types = tuple(sequence_annotation_to_type.keys()) if PYDANTIC_V2:
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fastapi/dependencies/utils.py
dependency_overrides_provider: Optional[Any] = None, dependency_cache: Optional[Dict[Tuple[Callable[..., Any], Tuple[str]], Any]] = None, async_exit_stack: AsyncExitStack, ) -> Tuple[ Dict[str, Any], List[Any], Optional[StarletteBackgroundTasks], Response, Dict[Tuple[Callable[..., Any], Tuple[str]], Any], ]: values: Dict[str, Any] = {} errors: List[Any] = []
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docs/de/docs/tutorial/body-nested-models.md
```Python hl_lines="1" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ``` ### Eine `list`e mit einem Typ-Parameter deklarieren Um Typen wie `list`, `dict`, `tuple` mit inneren Typ-Parametern (inneren Typen) zu deklarieren: * Wenn Sie eine Python-Version kleiner als 3.9 verwenden, importieren Sie das Äquivalent zum entsprechenden Typ vom `typing`-Modul
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docs/zh/docs/tutorial/response-model.md
``` !!! tip `{"name", "description"}` 语法创建一个具有这两个值的 `set`。 等同于 `set(["name", "description"])`。 #### 使用 `list` 而不是 `set` 如果你忘记使用 `set` 而是使用 `list` 或 `tuple`,FastAPI 仍会将其转换为 `set` 并且正常工作: ```Python hl_lines="31 37" {!../../../docs_src/response_model/tutorial006.py!} ``` ## 总结 使用*路径操作装饰器*的 `response_model` 参数来定义响应模型,特别是确保私有数据被过滤掉。
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docs/tr/docs/python-types.md
#### `Tuple` ve `Set` `Tuple` ve `set`lerin tiplerini bildirmek için de aynısını yapıyoruz: ```Python hl_lines="1 4" {!../../../docs_src/python_types/tutorial007.py!} ``` Bu şu anlama geliyor: * `items_t` değişkeni sırasıyla `int`, `int`, ve `str` tiplerinden oluşan bir `tuple` türündedir .
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docs/pt/docs/python-types.md
E, ainda assim, o editor sabe que é um `str` e fornece suporte para isso. #### `Tuple` e `Set` Você faria o mesmo para declarar `tuple`s e `set`s: ```Python hl_lines="1 4" {!../../../docs_src/python_types/tutorial007.py!} ``` Isso significa que: * A variável `items_t` é uma `tuple` com 3 itens, um `int`, outro `int` e uma `str`.
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