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docs/en/docs/advanced/openapi-callbacks.md
It will have a *path operation* that will receive an `Invoice` body, and a query parameter `callback_url` that will contain the URL for the callback. This part is pretty normal, most of the code is probably already familiar to you: ```Python hl_lines="9-13 36-53" {!../../docs_src/openapi_callbacks/tutorial001.py!} ``` /// tip
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 7.7K bytes - Viewed (0) -
docs/de/docs/tutorial/body-fields.md
# Body – Felder So wie Sie zusätzliche Validation und Metadaten in Parametern der **Pfadoperation-Funktion** mittels `Query`, `Path` und `Body` deklarieren, können Sie auch innerhalb von Pydantic-Modellen zusätzliche Validation und Metadaten deklarieren, mittels Pydantics `Field`. ## `Field` importieren Importieren Sie es zuerst: //// tab | Python 3.10+ ```Python hl_lines="4" {!> ../../docs_src/body_fields/tutorial001_an_py310.py!} ```
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guava/src/com/google/common/collect/ImmutableSortedSet.java
* dummy version. * * @throws UnsupportedOperationException always * @deprecated <b>Pass the parameters of type {@code Comparable} to use {@link * ImmutableSortedSet#of(Comparable, Comparable)}.</b> */ @DoNotCall("Pass parameters of type Comparable") @Deprecated public static <E> ImmutableSortedSet<E> of(E e1, E e2) { throw new UnsupportedOperationException(); }
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docs/de/docs/tutorial/response-status-code.md
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docs/de/docs/tutorial/dependencies/classes-as-dependencies.md
Wenn Sie **FastAPI** ein „Callable“ als Abhängigkeit übergeben, analysiert es die Parameter dieses „Callables“ und verarbeitet sie auf die gleiche Weise wie die Parameter einer *Pfadoperation-Funktion*. Einschließlich Unterabhängigkeiten. Das gilt auch für Callables ohne Parameter. So wie es auch für *Pfadoperation-Funktionen* ohne Parameter gilt.
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docs/sts/assume-role.md
## API Request Parameters ### Version
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docs/de/docs/tutorial/body-updates.md
Aber dieser Leitfaden zeigt Ihnen mehr oder weniger, wie die beiden normalerweise verwendet werden. /// ### Pydantics `exclude_unset`-Parameter verwenden Wenn Sie Teil-Aktualisierungen entgegennehmen, ist der `exclude_unset`-Parameter in der `.model_dump()`-Methode von Pydantic-Modellen sehr nützlich. Wie in `item.model_dump(exclude_unset=True)`. /// info
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docs/pt/docs/tutorial/query-params.md
{!> ../../docs_src/query_params/tutorial002.py!} ``` //// Nesse caso, o parâmetro da função `q` será opcional, e `None` será o padrão. /// check | "Verificar" Você também pode notar que o **FastAPI** é esperto o suficiente para perceber que o parâmetro da rota `item_id` é um parâmetro da rota, e `q` não é, portanto, `q` é o parâmetro de consulta. /// ## Conversão dos tipos de parâmetros de consulta
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docs/en/docs/tutorial/security/first-steps.md
In that case, **FastAPI** also provides you with the tools to build it. /// When we create an instance of the `OAuth2PasswordBearer` class we pass in the `tokenUrl` parameter. This parameter contains the URL that the client (the frontend running in the user's browser) will use to send the `username` and `password` in order to get a token. //// tab | Python 3.9+ ```Python hl_lines="8"
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android/guava/src/com/google/common/util/concurrent/NullnessCasts.java
* that conversion is safe. * * <p>This method is intended to help with usages of type parameters that have {@linkplain * ParametricNullness parametric nullness}. If a type parameter instead ranges over only non-null * types (or if the type is a non-variable type, like {@code String}), then code should almost
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