m, err := checkFromVersion(ctx, opts.Revision, fromCompatibilityVersion)
				if err != nil {
					return err
				}
				msgs = append(msgs, m...)
			}

			// Print all the messages to stdout in the specified format
			msgs = msgs.SortedDedupedCopy()
			outputMsgs := diag.Messages{}
			for _, m := range msgs {
				if m.Type.Level().IsWorseThanOrEqualTo(outputThreshold.Level) {
					outputMsgs = append(outputMsgs, m)
				}
			}

        int len = super.encode(dst, dstIndex);
        int exp = size();
        int actual = getLength();
        if ( exp != actual ) {
            throw new IllegalStateException(String.format("Wrong size calculation have %d expect %d", exp, actual));
        }
        return len;
    }


    /**
     * {@inheritDoc}
     *
     * @see jcifs.internal.smb2.ServerMessageBlock2#getResponse()

            snapshot = new Snapshot();
            snapshot.setBuildNumber(buildNumber != null ? buildNumber : getBuildNumber(recessive) + 1);
            snapshot.setTimestamp(utcDateFormatter.format(timestamp));

            Versioning versioning = new Versioning();
            versioning.setSnapshot(snapshot);
            versioning.setLastUpdatedTimestamp(timestamp);

		"Invalid storage class value",
		"Please check the value",
		`MINIO_STORAGE_CLASS_STANDARD: Format "EC:<Default_Parity_Standard_Class>" (e.g. "EC:3"). This sets the number of parity drives for MinIO server in Standard mode. Objects are stored in Standard mode, if storage class is not defined in Put request

    Neste caso, é uma lista de dataclasses `Item`.

6. Aqui estamos retornando um dicionário que contém `items`, que é uma lista de dataclasses.

    O FastAPI ainda é capaz de <abbr title="converter os dados para um formato que pode ser transmitido">serializar</abbr> os dados para JSON.

7. Aqui o `response_model` está usando uma anotação de tipo de uma lista de dataclasses `Author`.

    }

    @Override
    public void uncaughtException(Thread t, Throwable e) {
      try {
        logger
            .get()
            .log(
                SEVERE,
                String.format(Locale.ROOT, "Caught an exception in %s.  Shutting down.", t),
                e);
      } catch (Throwable errorInLogging) { // sneaky checked exception

  }

  public void testOneBits() {
    assertEquals(DoubleUtils.ONE_BITS, Double.doubleToRawLongBits(1.0));
  }

  private static void failFormat(String template, Object... args) {
    fail(String.format(template, args));
  }

import java.util.Objects;

import org.apache.maven.artifact.repository.metadata.Metadata;
import org.apache.maven.metadata.v4.MetadataStaxReader;

/**
 * Handles deserialization of metadata from some kind of textual format like XML.
 *
 */
@Named
@Singleton
public class DefaultMetadataReader implements MetadataReader {

    public Metadata read(File input, Map<String, ?> options) throws IOException {

          #     of the value entered here.
          publish_results: true

      # Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF
      # format to the repository Actions tab.
      - name: "Upload artifact"
        uses: actions/upload-artifact@b4b15b8c7c6ac21ea08fcf65892d2ee8f75cf882 # v4.4.3
        with:
          name: SARIF file
          path: results.sarif

JSON 호환 가능 데이터만 수신하는 `fake_db` 데이터베이스가 존재한다고 가정하겠습니다.

예를 들면, `datetime` 객체는 JSON과 호환되는 데이터가 아니므로 이 데이터는 받아들여지지 않습니다.

따라서 `datetime` 객체는 <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a> 데이터를 포함하는 `str`로 변환되어야 합니다.

같은 방식으로 이 데이터베이스는 Pydantic 모델(속성이 있는 객체)을 받지 않고, `dict` 만을 받습니다.

이를 위해 `jsonable_encoder` 를 사용할 수 있습니다.

Pydantic 모델과 같은 객체를 받고 JSON 호환 가능한 버전으로 반환합니다:

```Python hl_lines="5  22"