* The `spec.SecurityContext.Sysctls` field is now dropped during creation of `Pod` objects unless the `Sysctls` feature gate is enabled. ([#72752](https://github.com/kubernetes/kubernetes/pull/72752), [@rajathagasthya](https://github.com/rajathagasthya))
    * The `spec.AllowedUnsafeSysctls` and `spec.ForbiddenSysctls` fields are now dropped during creation of `PodSecurityPolicy` objects unless the `Sysctls` feature gate is enabled.

      Iterator<T> iterator = targetList.iterator();
      return Iterators.peekingIterator(iterator);
    }

    @Override
    protected void verify(List<T> elements) {
      // verify same objects were removed from reference and target
      assertEquals(elements, targetList);
    }
  }

  private <T extends @Nullable Object> void actsLikeIteratorHelper(final List<T> list) {

 * limitations under the License.
 */

package com.google.common.graph;

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

import com.google.common.annotations.Beta;
import com.google.common.base.Function;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Maps;

	queue       chan *queueItem // output from workers in order
	err         error           // global error state, only touched by Reader.Read
	bufferPool  sync.Pool       // pool of []byte objects for input
	kvDstPool   sync.Pool       // pool of []jstream.KV used for output
	close       chan struct{}   // used for shutting down the splitter before end of stream

     * @param actual the actual parameter type.
     * @return true if either formal type is assignable from actual type,
     *         or formal and actual are both primitive types and actual can be
     *         subject to widening conversion to formal.
     */
    private static boolean isStrictMethodInvocationConvertible(Class<?> formal, Class<?> actual) {
        // we shouldn't get a null into, but if so

 */
@Deprecated(since = "4.0.0")
public class ReflectionValueExtractor {
    private static final Object[] OBJECT_ARGS = new Object[0];

    /**
     * Use a WeakHashMap here, so the keys (Class objects) can be garbage collected.
     * This approach prevents permgen space overflows due to retention of discarded
     * classloaders.
     */

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": [