E também teremos anotações/documentação em conformidade.

## Modelos aninhados

Cada atributo de um modelo Pydantic tem um tipo.

Mas esse tipo pode ser outro modelo Pydantic.

Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos.

Tudo isso, aninhado arbitrariamente.

### Defina um sub-modelo

Por exemplo, nós podemos definir um modelo `Image`:

## List of models

The same way, you can declare responses of lists of objects.

For that, use the standard Python `typing.List` (or just `list` in Python 3.9 and above):

//// tab | Python 3.9+

```Python hl_lines="18"
{!> ../../docs_src/extra_models/tutorial004_py39.py!}
```

  - Built-in IDP users and their respective service accounts
  - LDAP/AD users and their respective service accounts
  - OpenID/OIDC service accounts

- On versioned buckets, FTP/SFTP only operates on latest objects, if you need to retrieve
  an older version you must use an `S3 API client` such as [`mc`](https://github.com/minio/mc).

- All features currently used by your buckets will work as is without any changes

Create new canned policy file `getonly.json`. This policy enables users to download all objects under `my-bucketname`.

```json
cat > getonly.json << EOF
{
  "Version": "2012-10-17",
  "Statement": [
	{
	  "Action": [
		"s3:GetObject"
	  ],
	  "Effect": "Allow",
	  "Resource": [

/**
 * Utilities for collecting and validating tester requirements from annotations.
 *
 * @author George van den Driessche
 */
@GwtIncompatible
public final class FeatureUtil {
  /** A cache of annotated objects (typically a Class or Method) to its set of annotations. */
  private static final Map<AnnotatedElement, List<Annotation>> annotationCache = new HashMap<>();

 * the License.
 */

package com.google.common.collect;

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;
import static java.util.Objects.requireNonNull;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

 * the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Maps.immutableEntry;
import static java.util.Objects.requireNonNull;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

		shardSize:    shardSize,
		canClose:     &sync.WaitGroup{},
		byteBuf:      buf,
	}
	bw.canClose.Add(1)
	go func() {
		defer bw.canClose.Done()

		totalFileSize := int64(-1) // For compressed objects length will be unknown (represented by length=-1)
		if length != -1 {
			bitrotSumsTotalSize := ceilFrac(length, shardSize) * int64(h.Size()) // Size used for storing bitrot checksums.

	return gcsToObjectError(err, gcs.Bucket, key)
}

func (gcs *warmBackendGCS) InUse(ctx context.Context) (bool, error) {
	it := gcs.client.Bucket(gcs.Bucket).Objects(ctx, &storage.Query{
		Delimiter: "/",
		Prefix:    gcs.Prefix,
		Versions:  false,
	})
	pager := iterator.NewPager(it, 1, "")
	gcsObjects := make([]*storage.ObjectAttrs, 0)
	_, err := pager.NextPage(&gcsObjects)

   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without
   * this precaution.
   *