Essa exceção será manipulada, contudo, pelo `unicorn_exception_handler`.

Dessa forma você receberá um erro "limpo", com o HTTP status code `418` e um JSON com o conteúdo:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Detalhes Técnicos

Você também pode usar `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

* шлях `/`
* використовуючи <abbr title="an HTTP GET method"><code>get</code> операцію</abbr>

/// info | `@decorator` Додаткова інформація

Синтаксис `@something` у Python називається "декоратором".

Ви розташовуєте його над функцією. Як гарний декоративний капелюх (мабуть, звідти походить термін).

"Декоратор" приймає функцію нижче і виконує з нею якусь дію.

# checks for cross-file issues like bad includes or missing BUILD definitions.
#
# We can't test on the windows toolchains because they're using a legacy
# toolchain format (or something) that specifies the toolchain directly instead
# of as a "repository". They can't be valid on Linux because Linux can't do
# anything with a Windows-only toolchain, and bazel errors if trying to build
# that directory.

  }

  private void swap(int i, int j) {
    T tmp = buffer[i];
    buffer[i] = buffer[j];
    buffer[j] = tmp;
  }

  /*
   * While the current implementation returns `this`, that's not something we mean to guarantee.
   * Anyway, the purpose of this method is to implement a BinaryOperator combiner for a Collector,
   * so its return value will get used naturally.
   */

      return ImmutableSortedSet.orderedBy(STRING_REVERSED).add(elements).build();
    }

    /*
     * While the current implementation returns `this`, that's not something we mean to guarantee.
     * Callers of TestContainerGenerator.order need to be prepared for implementations to return a new
     * collection.
     */
    @SuppressWarnings("CanIgnoreReturnValueSuggester")

///

### Pydantic and FastAPI `examples` { #pydantic-and-fastapi-examples }

When you add `examples` inside a Pydantic model, using `schema_extra` or `Field(examples=["something"])` that example is added to the **JSON Schema** for that Pydantic model.

And that **JSON Schema** of the Pydantic model is included in the **OpenAPI** of your API, and then it's used in the docs UI.

      <resource>
        <directory>src</directory>
      </resource>
      <!-- src-super is copied to guava-gwt-sources (so that we can strip its @Nullable annotations), so we don't need to list it here. We may want to arrange something similar for test-super someday. -->
      <!-- TODO(cpovirk): Why do we have separate src and src-super directories, anyway? -->
      <resource>
        <directory>${project.build.directory}/guava-gwt-sources</directory>

* đường dẫn `/`
* sử dụng một <abbr title="an HTTP GET method">toán tử<code>get</code></abbr>

/// info | Thông tin về "`@decorator`"

Cú pháp `@something` trong Python được gọi là một "decorator".

Bạn đặt nó trên một hàm. Giống như một chiếc mũ xinh xắn (Tôi ddonas đó là lí do mà thuật ngữ này ra đời).

Một "decorator" lấy một hàm bên dưới và thực hiện một vài thứ với nó.

By validating the data with Pydantic we can make sure that we have, for example, exactly a `list` of `str` with the scopes and a `str` with the `username`.

Instead of, for example, a `dict`, or something else, as it could break the application at some point later, making it a security risk.

We also verify that we have a user with that username, and if not, we raise that same exception we created before.

/// tip | Подсказка