if errors.Is(err, errNoHealRequired) {
			countNoHeal++
		}
		r.DiskCount += result.DiskCount
		r.SetCount += result.SetCount
		r.Before.Drives = append(r.Before.Drives, result.Before.Drives...)
		r.After.Drives = append(r.After.Drives, result.After.Drives...)
	}

	// No heal returned by all serverPools, return errNoHealRequired
	if countNoHeal == len(z.serverPools) {
		return r, errNoHealRequired
	}

    ```

Neste caso, o **FastAPI** perceberá que existe mais de um parâmetro de corpo na função (dois parâmetros que são modelos Pydantic).

Então, ele usará o nome dos parâmetros como chaves (nome dos campos) no corpo, e espera um corpo como:

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    },
    "user": {

 * which are <i>not the caller's fault</i>. Doing so is <b>not recommended</b> because it is
 * misleading to future readers of the code and of stack traces. See <a
 * href="https://github.com/google/guava/wiki/ConditionalFailuresExplained">Conditional failures
 * explained</a> in the Guava User Guide for more advice. Notably, {@link Verify} offers assertions

O primeiro parâmetro de tipo é para as chaves do `dict`.

O segundo parâmetro de tipo é para os valores do `dict`:

```Python hl_lines="1 4"
{!../../../docs_src/python_types/tutorial008.py!}
```

Isso significa que:

* A variável `prices` é um dict`:
    * As chaves deste `dict` são do tipo `str` (digamos, o nome de cada item).

func (set *erasureObjects) listObjectsToDecommission(ctx context.Context, bi decomBucketInfo, fn func(entry metaCacheEntry)) error {
	disks, _ := set.getOnlineDisksWithHealing(false)
	if len(disks) == 0 {
		return fmt.Errorf("no online drives found for set with endpoints %s", set.getEndpoints())
	}

	// However many we ask, versions must exist on ~50%
	listingQuorum := (set.setDriveCount + 1) / 2

	// How to resolve partial results.

import org.objectweb.asm.AnnotationVisitor
import org.objectweb.asm.Attribute
import org.objectweb.asm.ClassReader
import org.objectweb.asm.ClassReader.SKIP_CODE
import org.objectweb.asm.ClassReader.SKIP_FRAMES
import org.objectweb.asm.FieldVisitor
import org.objectweb.asm.Opcodes.ACC_ABSTRACT
import org.objectweb.asm.Opcodes.ACC_PUBLIC
import org.objectweb.asm.Opcodes.ACC_STATIC
import org.objectweb.asm.Opcodes.ACC_SYNTHETIC

    'full_name': None,
}
```

#### Desembrulhando um `dict`

Se tomarmos um `dict` como `user_dict` e passarmos para uma função (ou classe) com `**user_dict`, o Python irá "desembrulhá-lo". Ele passará as chaves e valores do `user_dict` diretamente como argumentos chave-valor.

Então, continuando com o `user_dict` acima, escrevendo:

```Python
UserInDB(**user_dict)
```

Resultaria em algo equivalente a:

```Python

}

function perform_test() {
	start_minio_3_node 120 $2

	echo "Testing Distributed Erasure setup healing of drives"
	echo "Remove the contents of the disks belonging to '${1}' erasure set"

	rm -rf ${WORK_DIR}/${1}/*/

	set -x
	start_minio_3_node 120 $2

	rv=$(check_online)
	if [ "$rv" == "1" ]; then

profile](/pkg/runtime/pprof#Profile). Contention on these locks is always
reported at `runtime._LostContendedRuntimeLock`. Complete stack traces of
runtime locks can be enabled with the [`runtimecontentionstacks`
setting](/pkg/runtime#hdr-Environment_Variable). These stack traces have
non-standard semantics, see setting documentation for details.

Go 1.22 added a new [`crypto/x509.Certificate`](/pkg/crypto/x509/#Certificate)

		// Clean up the common prefixes
		file = trimTrace(file)
		// Get the function name
		_, funcName := filepath.Split(runtime.FuncForPC(pc).Name())
		// Skip duplicate traces that start with file name, "<autogenerated>"
		// and also skip traces with function name that starts with "runtime."
		if !strings.HasPrefix(file, "<autogenerated>") &&
			!strings.HasPrefix(funcName, "runtime.") {