withLock {
        closed = true
        notifyAll() // Because doReadTimeout() may have changed.
      }
      connection.flush()
      cancelStreamIfNecessary()
    }
  }

  companion object {
    internal const val EMIT_BUFFER_SIZE = 16384L
  }

  /** [delta] will be negative if a settings frame initial window is smaller than the last. */
  fun addBytesToWriteWindow(delta: Long) {

    assertThat(symmetricDifference(newHashSet(1, 2), newHashSet(2, 3)).immutableCopy())
        .containsExactly(1, 3);
  }

  public void testCopyInto_returnsSameInstance() {
    Set<Object> set = new HashSet<>();
    assertThat(union(emptySet(), emptySet()).copyInto(set)).isSameInstanceAs(set);
    assertThat(intersection(emptySet(), emptySet()).copyInto(set)).isSameInstanceAs(set);

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

And you get all the editor support with that resulting object.

An example from the official Pydantic docs:

{* ../../docs_src/python_types/tutorial011_py310.py *}

/// info

 * to ensure visibility of changes across threads.
 *
 * <p>The class also provides methods to manage URL patterns for inclusion and exclusion, which
 * are stored as {@code Pattern} objects.
 */
public class MemoryDataHelper {
    /** Map of session IDs to URL queues for managing crawling queues. */
    protected volatile Map<String, Queue<UrlQueueImpl<Long>>> urlQueueMap = new HashMap<>();

import org.jline.console.impl.JlineCommandRegistry;
import org.jline.reader.Completer;
import org.jline.reader.impl.completer.ArgumentCompleter;
import org.jline.reader.impl.completer.StringsCompleter;

import static java.util.Objects.requireNonNull;

@Named("builtin")
@Singleton
public class BuiltinShellCommandRegistryFactory implements ShellCommandRegistryFactory {
    @Override

## Modelos aninhados { #nested-models }

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 { #define-a-submodel }

    }

    @Override
    public void setLastModified(final Long lastModified) {
        this.lastModified = lastModified;
    }

    /**
     * Returns a string representation of this object.
     * @return A string representation.
     */
    @Override
    public String toString() {

      .assertNoMoreLogs()
  }

  private fun request(): Request.Builder = Request.Builder().url(url)

  companion object {
    private val PLAIN = "text/plain".toMediaType()
  }

        CertificatePinner.Pin("www.example.com", certA1Sha256Pin),
      )
    assertEquals(expectedPins, builder.pins)
    assertEquals(HashSet(expectedPins), certificatePinner.pins)
  }

  companion object {
    val certA1 =
      HeldCertificate
        .Builder()
        .serialNumber(100L)
        .build()
    val certA1Sha256Pin = pin(certA1.certificate)
    val certB1 =
      HeldCertificate

    return if (exactRuleLabels.size > wildcardRuleLabels.size) {
      exactRuleLabels
    } else {
      wildcardRuleLabels
    }
  }

  companion object {
    private val WILDCARD_LABEL = ByteString.of('*'.code.toByte())
    private val PREVAILING_RULE = listOf("*")

    private const val EXCEPTION_MARKER = '!'