QUEUING,
    /** runnable has been submitted but has not yet begun execution */
    QUEUED,
    RUNNING,
  }

  /** Underlying executor that all submitted Runnable objects are run on. */
  private final Executor executor;

  @GuardedBy("queue")
  private final Deque<Runnable> queue = new ArrayDeque<>();

  /** see {@link WorkerRunningState} */
  @LazyInit
  @GuardedBy("queue")

     * @param severity
     * @param version
     */
    public ModelProblemCollectorRequest(Severity severity, Version version) {
        this.severity = Objects.requireNonNull(severity, "severity cannot be null");
        this.version = Objects.requireNonNull(version, "version cannot be null");
    }

    public Severity getSeverity() {
        return severity;
    }

    public Version getVersion() {

)

open class ErrorProneSourceSetExtension(
    val enabled: Property<Boolean>
)

val errorproneExtension = project.extensions.create<ErrorProneProjectExtension>("errorprone", project.objects.listProperty<String>())
errorproneExtension.disabledChecks.addAll(
    // DISCUSS
    "EnumOrdinal", // This violation is ubiquitous, though most are benign.

```Python hl_lines="26-33"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
```

////

/// info

In Pydantic Version 1 war die Methode zum Parsen und Validieren eines Objekts `Item.parse_obj()`, in Pydantic Version 2 heißt die Methode `Item.model_validate()`.

///

/// tip | "Tipp"

Hier verwenden wir dasselbe Pydantic-Modell wieder.

import org.apache.maven.model.superpom.SuperPomProvider;
import org.apache.maven.model.validation.DefaultModelValidator;
import org.apache.maven.model.validation.ModelValidator;

import static java.util.Objects.requireNonNull;

/**
 * A factory to create model builder instances when no dependency injection is available. Note: This class is

        Method userMethod = processHandleInfoClass.getMethod("user");
        Method orElseMethod = optionalClass.getMethod("orElse", Object.class);

        Object current = currentMethod.invoke(null);
        Object info = infoMethod.invoke(current);
        Object user = userMethod.invoke(info);
        return (String) requireNonNull(orElseMethod.invoke(user, fromSystemProperty));

                  "uid": "$datasource"
               },
               "expr": "sum by (pod) (rate(go_memstats_mallocs_total{app=\"istiod\"}[$__rate_interval]))",
               "legendFormat": "Objects ({{pod}})"
            }
         ],
         "title": "Memory Allocations",
         "type": "timeseries"
      },
      {
         "datasource": {
            "type": "datasource",

# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

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": [

 * 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;