===========================

At Square, we are committed to contributing to the open source community and simplifying the process
of releasing and managing open source software. We’ve seen incredible support and enthusiasm from
thousands of people who have already contributed to our projects — and we want to ensure our community
continues to be truly open for everyone.

This code of conduct outlines our expectations for participants, as well as steps to reporting

### `response_model` Priority

If you declare both a return type and a `response_model`, the `response_model` will take priority and be used by FastAPI.

This way you can add correct type annotations to your functions even when you are returning a type different than the response model, to be used by the editor and tools like mypy. And still you can have FastAPI do the data validation, documentation, etc. using the `response_model`.

Each of those response `dict`s can have a key `model`, containing a Pydantic model, just like `response_model`.

**FastAPI** will take that model, generate its JSON Schema and include it in the correct place in OpenAPI.

* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.

When deploying applications you will probably want to have some **replication of processes** to take advantage of **multiple cores** and to be able to handle more requests.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

That way, you don't have to "install" your local version to be able to test every change.

/// note | "Technical Details"

This only happens when you install using this included `requirements.txt` instead of running `pip install fastapi` directly.

		}
		p.Pools[idx].LastUpdate = now
		if err := p.save(ctx, pools); err != nil {
			return false, err
		}
		return true, nil
	}
	return false, nil
}

func (p poolMeta) save(ctx context.Context, pools []*erasureSets) error {
	if p.dontSave {
		return nil
	}
	data := make([]byte, 4, p.Msgsize()+4)

	}
}

func TestSelect(t *testing.T) {
	user := User{Name: "SelectUser1"}
	DB.Save(&user)

	var result User
	DB.Where("name = ?", user.Name).Select("name").Find(&result)
	if result.ID != 0 {
		t.Errorf("Should not have ID because only selected name, %+v", result.ID)
	}

	if user.Name != result.Name {
		t.Errorf("Should have user Name when selected it")
	}

	var result2 User

```Python
{
    "name": "Barz",
    "price": 3,
    "description": None,
}
```

because it doesn't include the already stored attribute `"tax": 20.2`, the input model would take the default value of `"tax": 10.5`.

And the data would be saved with that "new" `tax` of `10.5`.

## Partial updates with `PATCH`

We have a lifecycle mapping for the packaging of *jar* below. You see that for this packaging we have a *default* lifecycle and a list of phases where each phase is a comma separated list of goals to run and they are in the form groupId:artifactId:version.

<configuration>
  <lifecycles>
    <lifecycle>
      <id>default</id>
      <phases>
        <process-resources>org.apache.maven.plugins:maven-resources-plugin:resources</process-resources>

```Python
if "stanleyjobsox" == "stanleyjobson" and "love123" == "swordfish":
    ...
```

Python will have to compare the whole `stanleyjobso` in both `stanleyjobsox` and `stanleyjobson` before realizing that both strings are not the same. So it will take some extra microseconds to reply back "Incorrect username or password".

#### The time to answer helps the attackers