**Raspberry Pi 2 and 3**      | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.html)           | [Py3](https://storage.googleapis.com/tensorflow-nightly/tensorflow-1.10.0-cp34-none-linux_armv7l.whl)

    internal var eventListenerFactory: EventListener.Factory = EventListener.NONE.asFactory()
    internal var retryOnConnectionFailure = true
    internal var fastFallback = true
    internal var authenticator: Authenticator = Authenticator.NONE
    internal var followRedirects = true
    internal var followSslRedirects = true

        description =
            "Command line option for the performance test task to enable profiling. " +
                "For example `async-profiler`, `async-profiler-heap`, `async-profiler-all` or `jfr`. Use `none` for benchmarking only.",
    )
}

object AdHocPerformanceScenarioLinux : AdHocPerformanceScenario(Os.LINUX)

object AdHocPerformanceScenarioWindows : AdHocPerformanceScenario(Os.WINDOWS)

				line, s = s, nil
			}
			if !yield(line[:len(line):len(line)]) {
				return
			}
		}
	}
}

// splitSeq is SplitSeq or SplitAfterSeq, configured by how many
// bytes of sep to include in the results (none or all).
func splitSeq(s, sep []byte, sepSave int) iter.Seq[[]byte] {
	return func(yield func([]byte) bool) {
		if len(sep) == 0 {
			for len(s) > 0 {
				_, size := utf8.DecodeRune(s)
				if !yield(s[:size:size]) {

  SUBSET_VIEW,
  DESCENDING_VIEW,

  /**
   * For documenting collections that support no optional features, such as {@link
   * java.util.Collections#emptySet}
   */
  NONE;

  private final Set<Feature<? super Collection>> implied;

  CollectionFeature(Feature<? super Collection>... implied) {
    this.implied = copyToSet(implied);
  }

  @Override

     */
    Proxy getProxy();

    /**
     * @since 3.0.3
     * @return the repositories mirrored by the actual one
     */
    List<ArtifactRepository> getMirroredRepositories();

    /**
     * @since 3.0.3
     * @param mirroredRepositories the repositories that the actual one mirrors
     */
    void setMirroredRepositories(List<ArtifactRepository> mirroredRepositories);

  /** The request URL built using the request line, headers, and local host name. */
  public val url: HttpUrl,
  /** All headers. */
  public val headers: Headers,
  /** The body of this request, or null if it has none. This may be truncated. */
  public val body: ByteString?,
  /** The total size of the body of this request (before truncation).*/
  public val bodySize: Long,
  /**

					if kv.Match(BatchJobKV{Key: k, Value: v}) {
						return true
					}
				}
			}

			// None of the provided metadata filters match skip the object.
			return false
		}

		// if one of source or target is non MinIO, just replicate the top most version like `mc mirror`

   */
  public long get(K key) {
    return map.getOrDefault(key, 0L);
  }

  /**
   * Increments by one the value currently associated with {@code key}, and returns the new value.
   */
  @CanIgnoreReturnValue
  public long incrementAndGet(K key) {
    return addAndGet(key, 1);
  }

  /**
   * Decrements by one the value currently associated with {@code key}, and returns the new value.
   */
  @CanIgnoreReturnValue

그리고 다음과 같이 호출하면:

```Python
print(user_dict)
```

Python의 `dict`가 다음과 같이 출력됩니다:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### `dict` 언패킹(Unpacking)

`user_dict`와 같은 `dict`를 함수(또는 클래스)에 `**user_dict`로 전달하면, Python은 이를 "언팩(unpack)"합니다. 이 과정에서 `user_dict`의 키와 값을 각각 키-값 인자로 직접 전달합니다.

따라서, 위에서 생성한 `user_dict`를 사용하여 다음과 같이 작성하면: