<p>
<code>B0</code> and <code>B1</code> are different because they are new types
created by distinct <a href="#Type_definitions">type definitions</a>;
<code>func(int, float64) *B0</code> and <code>func(x int, y float64) *[]string</code>
are different because <code>B0</code> is different from <code>[]string</code>;
and <code>P1</code> and <code>P2</code> are different because they are different
type parameters.

// returns a slice with site names participating in site replciation but unspecified while adding
// a new site.
func getMissingSiteNames(oldDeps, newDeps set.StringSet, currSites []madmin.PeerInfo) []string {
	diff := oldDeps.Difference(newDeps)
	var diffSlc []string
	for _, v := range currSites {
		if diff.Contains(v.DeploymentID) {
			diffSlc = append(diffSlc, v.Name)
		}
	}
	return diffSlc
}

Also, the best approach was to use already existing standards.

So, before even starting to code **FastAPI**, I spent several months studying the specs for OpenAPI, JSON Schema, OAuth2, etc. Understanding their relationship, overlap, and differences.

## Design

Then I spent some time designing the developer "API" I wanted to have as a user (as a developer using FastAPI).

    validations:
      required: true

  - type: markdown
    attributes:
      value: >
        Comparing two approaches to a use case side by side can make it easier to examine the
        differences between them.


        Additionally, it's very useful to us if you can provide a "straw API" — what the
        method signatures would look like, for example, even if the method and class names are still

// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.

                }
            }
        }
    }
}
```

## Types de médias supplémentaires pour la réponse principale

Vous pouvez utiliser ce même paramètre `responses` pour ajouter différents types de médias pour la même réponse principale.

      )
      .build()
  }

  private fun buildServerSslSocketFactory(): SSLSocketFactory {
    // The test uses JDK default SSL Context instead of the Platform provided one
    // as Conscrypt seems to have some differences, we only want to test client side here.
    return try {
      val keyManager =
        newKeyManager(
          null,
          serverCert,
          serverIntermediateCa.certificate,
        )

Mas você pode reordená-los, colocando primeiro o elemento sem o valor padrão (o parâmetro de consulta `q`).

Isso não faz diferença para o **FastAPI**. Ele vai detectar os parâmetros pelos seus nomes, tipos e definições padrão (`Query`, `Path`, etc), sem se importar com a ordem.

Então, você pode declarar sua função assim:

```Python hl_lines="7"

All the data conversion, validation, documentation, etc. will still work as normally.

That way, we can declare just the differences between the models (with plaintext `password`, with `hashed_password` and without password):

//// tab | Python 3.10+

```Python hl_lines="7  13-14  17-18  21-22"
{!> ../../docs_src/extra_models/tutorial002_py310.py!}

### Concorrência e hambúrgueres

Essa idéia de código **assíncrono** descrito acima é algo às vezes chamado de **"concorrência"**. E é diferente de **"paralelismo"**.