log.put("normal task running")
      return@schedule -1L
    }

    queue.idleLatch().await(500, TimeUnit.MILLISECONDS)

    assertThat(log.take()).isEqualTo("failing task running")
    assertThat(log.take()).isEqualTo("uncaught exception: java.lang.RuntimeException: boom!")
    assertThat(log.take()).isEqualTo("normal task running")
    assertThat(log).isEmpty()
  }

  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-compiler-plugin</artifactId>
        <executions>
          <execution>
            <id>normal</id>

            <goals>
              <goal>compile</goal>
            </goals>
          </execution>
        </executions>
      </plugin>
    </plugins>
  </build>

  optional int32 replicas = 1;

  // selector is the label query over pods that should match the replicas count. This is same
  // as the label selector but in the string format to avoid introspection
  // by clients. The string will be in the same format as the query-param syntax.
  // More info about label selectors: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  // +optional
  optional string selector = 2;

// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.  Only one "target" type
// should be set.
message ContainerResourceMetricSource {
  // name is the name of the resource in question.
  optional string name = 1;

// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source.  Only one "target" type
// should be set.
message ContainerResourceMetricSource {
  // name is the name of the resource in question.
  optional string name = 1;

    def __iter__(self):
        raise NotImplementedError()

    @property
    def __dict__(self):
        raise NotImplementedError()


class RoleEnum(Enum):
    admin = "admin"
    normal = "normal"


class ModelWithConfig(BaseModel):
    role: Optional[RoleEnum] = None

    if PYDANTIC_V2:
        model_config = {"use_enum_values": True}
    else:

        class Config:

value="<font face="Roboto" data-font-src="https://fonts.googleapis.com/css?family=Roboto" style="font-size: 24px ; font-weight: normal">Another app</font><font face="Roboto" data-font-src="https://fonts.googleapis.com/css?family=Roboto" style="font-size: 24px ; font-weight: normal">: another.example.com</font>" style="rounded=0;whiteSpace=wrap;html=1;fontStyle=1;strokeWidth=4;fillColor=#dae8fc;strokeColor=#6c8ebf;" vertex="1"...

        if (modeSetting != null) {
            if ("search".equalsIgnoreCase(modeSetting)) {
                mode = JapaneseTokenizer.Mode.SEARCH;
            } else if ("normal".equalsIgnoreCase(modeSetting)) {
                mode = JapaneseTokenizer.Mode.NORMAL;
            } else if ("extended".equalsIgnoreCase(modeSetting)) {
                mode = JapaneseTokenizer.Mode.EXTENDED;
            }
        }
        return mode;

protection bits added automatically to provide the regular safety for these objects up to 50% of the number of drives.
This will allow normal write operations to take place on systems that exceed the write tolerance.

 * after the garbage collector reclaims the referent. This is a simpler alternative to using a
 * {@link ReferenceQueue}.
 *
 * <p>Unlike a normal phantom reference, this reference will be cleared automatically.
 *
 * @author Bob Lee
 * @since 2.0
 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault