if count1 != 1 || count2 != 3 {
		t.Errorf("count after new session should works")
	}

	var count3 int64
	if err := DB.Model(&User{}).Where("name in ?", []string{user2.Name, user2.Name, user3.Name}).Group("id").Count(&count3).Error; err != nil {
		t.Errorf("Error happened when count with group, but got %v", err)
	}

	if count3 != 2 {
		t.Errorf("Should get correct count for count with group, but got %v", count3)
	}

/**
 * A {@code double} array in which elements may be updated atomically. See the {@link
 * java.util.concurrent.atomic} package specification for description of the properties of atomic
 * variables.
 *
 * <p><a id="bitEquals"></a>This class compares primitive {@code double} values in methods such as
 * {@link #compareAndSet} by comparing their bitwise representation using {@link

     * Caches encoding information to improve performance on subsequent requests.
     *
     * @param parentUrl the parent URL to get encoding for
     * @param sessionId the session ID for the crawling session
     * @return the character encoding, or null if not found
     */
    default String getParentEncoding(final String parentUrl, final String sessionId) {

    response1.body.close()
    assertThat(response1.header("X-Response-ID")).isEqualTo("1")
    val response2 = client.newCall(request).execute()
    response2.body.close()
    if (expectCached) {
      assertThat(response2.header("X-Response-ID")).isEqualTo("1")
    } else {
      assertThat(response2.header("X-Response-ID")).isEqualTo("2")
    }
    if (!expectCached) {
      server.enqueue(

    protected int limitPercentage = 100;
    /** Limit number. */
    protected long limitNumber = -1;
    /** Sort list. */
    protected List<SortBuilder<?>> sortList = new ArrayList<>();

    /** Scroll ID. */
    protected String scrollId = null;

    /** Document count. */
    protected final AtomicLong docCount = new AtomicLong(0);
    /** Total document number. */
    protected final long totalDocNum;

            public String getQueryAdditionalDefaultFields() {
                return "";
            }

            @Override
            public String getIndexFieldId() {
                return "id";
            }

            @Override
            public String getIndexFieldDocId() {
                return "doc_id";
            }

            @Override

        if (address == null) {
            return null;
        }
        if (address instanceof Inet6Address) {
            final String hostAddress = address.getHostAddress();
            // Remove zone ID if present (e.g., %eth0)
            final int percentIndex = hostAddress.indexOf('%');
            final String cleanAddress = percentIndex >= 0 ? hostAddress.substring(0, percentIndex) : hostAddress;

이 이터러블 객체를 `list(data.items())`로 적절한 `list`로 변환합니다.

그 다음 `random.choice()`로 리스트에서 **무작위 값**을 얻어 `(id, name)` 형태의 튜플을 얻습니다. 예를 들어 `("imdb-tt0371724", "The Hitchhiker's Guide to the Galaxy")` 같은 값이 될 것입니다.

그 다음 이 튜플의 **두 값을** 변수 `id`와 `name`에 **할당**합니다.

따라서 사용자가 아이템 ID를 제공하지 않더라도, 무작위 추천을 받게 됩니다.

...이 모든 것을 **단 하나의 간단한 줄**로 합니다. 🤯 Python 정말 좋지 않나요? 🐍

					Type:      counterMetric,
				},
				VariableLabels: map[string]string{"target_id": st.ID.ID, "target_name": st.ID.Name},
				Value:          float64(st.FailedRequests),
			})
		}

		// Audit and system:
		audit := logger.CurrentStats()
		for id, st := range audit {
			metrics = append(metrics, MetricV2{
				Description: MetricDescription{
					Namespace: minioNamespace,

     * @see jcifs.SmbTreeHandle#getConfig()
     */
    @Override
    public Configuration getConfig() {
        return this.treeConnection.getConfig();
    }

    /**
     * @return the currently connected tree id
     */
    public long getTreeId() {
        return this.treeConnection.getTreeId();
    }

    /**
     *
     * @param req
     * @param params
     * @return response