# Retornando uma Resposta Diretamente

Quando você cria uma *operação de rota* no **FastAPI** você pode retornar qualquer dado nela: um dicionário (`dict`), uma lista (`list`), um modelo do Pydantic ou do seu banco de dados, etc.

Por padrão, o **FastAPI** irá converter automaticamente o valor do retorno para JSON utilizando o `jsonable_encoder` explicado em [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

            gradleRunnerStep(
                model,
                ":$performanceProjectName:$taskName",
                extraParameters = listOf(
                    "-Porg.gradle.performance.branchName" to "%teamcity.build.branch%",
                    "-Porg.gradle.performance.db.url" to "%performance.db.url%",
                    "-Porg.gradle.performance.db.username" to "%performance.db.username%",

	dataScannerCompactLeastObject    = 500                              // Compact when there is less than this many objects in a branch.
	dataScannerCompactAtChildren     = 10000                            // Compact when there are this many children in a branch.
	dataScannerCompactAtFolders      = dataScannerCompactAtChildren / 4 // Compact when this many subfolders in a single folder.

</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/fastapi/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi" target="_blank">

To sign off a single commit:

`git commit --amend --signoff`

To sign off one or multiple commits:

`git rebase --signoff origin/master`

Then force push your branch:

`git push --force origin test-branch`

### Fixing sanity check failures after public API changes

If your PR includes any changes to the Gradle Public API, it will cause the binary compatibility check to fail.

Follow these steps to patch a specific version of TensorFlow, for example, to
apply fixes to bugs or security vulnerabilities:

*   Clone the TensorFlow repo and switch to the corresponding branch for your
    desired TensorFlow version, for example, branch `r2.8` for version 2.8.
*   Apply (that is, cherry-pick) the desired changes and resolve any code
    conflicts.
*   Run TensorFlow tests and ensure they pass.

```Python hl_lines="1  9  12"
{!../../docs_src/response_change_status_code/tutorial001.py!}
```

E então você pode retornar qualquer objeto que você precise, como você faria normalmente (um `dict`, um modelo de banco de dados, etc.).

E se você declarar um `response_model`, ele ainda será utilizado para filtrar e converter o objeto que você retornou.

  public void testMapConstructor() {
    /* Test with non-empty Map. */
    Map<String, String> map =
        ImmutableMap.of(
            "canada", "dollar",
            "chile", "peso",
            "switzerland", "franc");
    HashBiMap<String, String> bimap = HashBiMap.create(map);
    assertEquals("dollar", bimap.get("canada"));
    assertEquals("canada", bimap.inverse().get("dollar"));
  }

  private static final int N = 1000;

///

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

////

## Recap

Apart from all the fancy words used here, the **Dependency Injection** system is quite simple.

Just functions that look the same as the *path operation functions*.

	CMPPD	foo+4(SB), X2, 4

// LTYPEX spec9	{ outcode($1, &$2); }
	PINSRW	$4, AX, X2
	PINSRW	$4, foo+4(SB), X2

// LTYPERT spec10	{ outcode($1, &$2); }
	JCS	2(PC)
	RETFL	$4

// Was bug: LOOP is a branch instruction.
	JCS	2(PC)
loop:
	LOOP	loop // LOOP

	// Intel pseudonyms for our own renamings.
	PADDD	M2, M1 // PADDL M2, M1
	MOVDQ2Q	X1, M1 // MOVQ X1, M1
	MOVNTDQ	X1, (AX)	// MOVNTO X1, (AX)