Cela le rend extrêmement intuitif.

Il est comparable à Marshmallow. Bien qu'il soit plus rapide que Marshmallow dans les benchmarks. Et comme il est
basé sur les mêmes type hints Python, le support de l'éditeur est grand.

!!! check "**FastAPI** l'utilise pour"
Gérer toute la validation des données, leur sérialisation et la documentation automatique du modèle (basée sur le schéma JSON).

                {
                    "loc": ["body", "grant_type"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }
            ]
        }
    )


def test_strict_login_incorrect_grant_type():
    response = client.post(
        "/login",
        data={"username": "johndoe", "password": "secret", "grant_type": "incorrect"},
    )

                {
                    "loc": ["body", "grant_type"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }
            ]
        }
    )


def test_strict_login_incorrect_grant_type():
    response = client.post(
        "/login",
        data={"username": "johndoe", "password": "secret", "grant_type": "incorrect"},
    )

    int64_t tensor_id = source_tensor_ids[i];
    auto grad_it = gradients.find(tensor_id);
    if (grad_it == gradients.end()) {
      result[i] = nullptr;
    } else {
      if (grad_it->second.size() > 1) {
        Gradient* grad = vspace.AggregateGradients(grad_it->second);
        grad_it->second.clear();
        grad_it->second.push_back(grad);
      }
      result[i] = grad_it->second[0];
      used_gradient_ids.insert(tensor_id);

                {
                    "loc": ["body", "grant_type"],
                    "msg": "field required",
                    "type": "value_error.missing",
                }
            ]
        }
    )


def test_strict_login_incorrect_grant_type():
    response = client.post(
        "/login",
        data={"username": "johndoe", "password": "secret", "grant_type": "incorrect"},
    )

                sending the `client_id` and `client_secret` (if any) using HTTP Basic
                auth.
                """
            ),
        ] = None,
    ):
        self.grant_type = grant_type
        self.username = username
        self.password = password
        self.scopes = scope.split()
        self.client_id = client_id
        self.client_secret = client_secret

Outro grande recurso necessário pelas APIs é a <abbr title="ler e converter para dados Python">análise</abbr> de dados vindos de requisições.

Webargs é uma ferramente feita para fornecer o que está no topo de vários frameworks, inclusive Flask.

Ele utiliza Marshmallow por baixo para validação de dados. E ele foi criado pelos mesmos desenvolvedores.

	var wg sync.WaitGroup
	disks := er.getDisks()
	infos := make([]DiskInfo, len(disks))
	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	for _, i := range r.Perm(len(disks)) {
		i := i
		wg.Add(1)
		go func() {
			defer wg.Done()

			disk := disks[i]
			if disk == nil {

	accessKey, err = GenerateAccessKey(accessKeyMaxLen, rand.Reader)
	if err != nil {
		return "", "", err
	}
	secretKey, err = GenerateSecretKey(secretKeyMaxLen, rand.Reader)
	if err != nil {
		return "", "", err
	}
	return accessKey, secretKey, nil
}

// GenerateAccessKey returns a new access key generated randomly using
// the given io.Reader. If random is nil, crypto/rand.Reader is used.

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