func closeNetns(netns NetnsCloser) {
	netns.Close()
}

func (p *podNetnsCache) ReadCurrentPodSnapshot() map[string]WorkloadInfo {
	p.mu.RLock()
	defer p.mu.RUnlock()
	// snapshot the cache to avoid long locking
	return maps.Clone(p.currentPodCache)
}

// Remove and return the Netns for the given uid
// No need to return NetnsCloser here it will be closed automatically on GC.

The most complex problem is building an authentication/authorization provider like those, but **FastAPI** gives you the tools to do it easily, while doing the heavy lifting for you.

///

## **FastAPI** utilities

FastAPI provides several tools for each of these security schemes in the `fastapi.security` module that simplify using these security mechanisms.

        _ * classMetaData.rawCommentText >> '<a href="#anchor">some value</a>'

        when:
        def result = parser.parse(classMetaData, listener)

        then:
        format(result.docbook) == '<para><link linkend="org.gradle.Class.anchor">some value</link></para>'
        _ * classMetaData.className >> 'org.gradle.Class'
    }

    def convertsAnAElementWithAnHref() {

    exec.awaitTermination(100, MILLISECONDS);
  }

  /**
   * Tests that all listeners complete, even if they were added before or after the future was
   * finishing. Also acts as a concurrency test to make sure the locking is done correctly when a
   * future is finishing so that no listeners can be lost.
   */
  public void testAllListenersCompleteSuccessfully()
      throws InterruptedException, ExecutionException {

                    try ( SmbResource tf = new SmbFile(d, name) ) {
                        tf.createNewFile();
                    }
                }

                // check that the expected name is returned from listing

                String[] found = d.list();
                String[] expect = names;

                Arrays.sort(found);
                Arrays.sort(expect);

                if ( log.isDebugEnabled() ) {

	quarkus/extensions/arc/deployment/pom.xml
	quarkus/extensions/datasource/common/pom.xml
quarkus/extensions/kubernetes-service-binding/deployment/pom.xml
	quarkus/core/deployment/pom.xml
	quarkus/extensions/kubernetes-service-binding/runtime/pom.xml
	quarkus/extensions/kubernetes-service-binding/spi/pom.xml
	quarkus/extensions/kubernetes/spi/pom.xml
quarkus/extensions/elytron-security-oauth2/runtime/pom.xml

   * MoreExecutors#newDirectExecutorService} and subject to the same constraints.
   *
   * <p>Although all tasks are immediately executed in the thread that submitted the task, this
   * {@code ExecutorService} imposes a small locking overhead on each task submission in order to
   * implement shutdown and termination behavior.
   *
   * <p>Because of the nature of single-thread execution, the methods {@code scheduleAtFixedRate}

	}
	return nil
}

// ReadBytes reads until the first occurrence of delim in the input,
// returning a slice containing the data up to and including the delimiter.
// If ReadBytes encounters an error before finding a delimiter,
// it returns the data read before the error and the error itself (often [io.EOF]).
// ReadBytes returns err != nil if and only if the returned data does not end in
// delim.

    * Bởi vì các cấu trúc dữ liệu của Pydantic chỉ là các instances của class bạn định nghĩa; auto-completion, linting, mypy và trực giác của bạn nên làm việc riêng biệt với những dữ liệu mà bạn đã validate.
* Validate **các cấu trúc phức tạp**:
    * Sử dụng các models Pydantic phân tầng, `List` và `Dict` của Python `typing`,...

    * 没有新的模式定义 micro-language 需要学习。
    * 如果你知道 Python types，你就知道如何使用 Pydantic。
* 和你 **<abbr title="集成开发环境，和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:
    * 因为 pydantic 数据结构仅仅是你定义的类的实例；自动补全，linting，mypy 以及你的直觉应该可以和你验证的数据一起正常工作。
* 验证**复杂结构**:
    * 使用分层的 Pydantic 模型, Python `typing`的 `List` 和 `Dict` 等等。
    * 验证器使我们能够简单清楚的将复杂的数据模式定义、检查并记录为 JSON Schema。
    * 你可以拥有深度**嵌套的 JSON** 对象并对它们进行验证和注释。
* **可扩展**: