*
   * <p>If the mapped elements contain duplicates (according to {@code comparator}), the first
   * occurrence in encounter order appears in the resulting multiset, with count equal to the sum of
   * the outputs of {@code countFunction.applyAsInt(t)} for each {@code t} mapped to that element.
   *
   * @since 22.0
   */
  public static <T extends @Nullable Object, E>

dem?e&sab,uc?yg??f&ehc?orp??g&ba?ne?ro?tkm??hcet?jol?l&a&g?iciffo,s??im?ut??m&da?oc?se??n&gd?if?o&m?rga???o&csid?fni?i&r?u??rp??pprr?qisp?r&ab?bi?tn?ut??t&al?e&n?v??n&ed?o&c?do???of?qra?ra??ude?vog?xxx??beuq?n?smoc??fdh?i&lohtac?n&agro?ilc?osanap??sum?tic??l!.&gro?moc?oc?ten?ude?vog?yo,?l??m!.&mt?ossa??p1akcq--nx??n!.&mon?ossa??i?p??relcel?s!.&gro?moc?ten?ude?vog???t!s?w??v!.&gro?lim?moc?sndym,ten?ude?v&g:.d,,og????wp?yn??d&2urzc--nx?3&1wrpk--nx?c&4b11--nx?9jrcpf--nx???5xq55--nx?697uto--nx?75yrp...

		}
		onlineDisks, offlineDisks := getOnlineOfflineDisksStats(allDisks)

		backend = madmin.ErasureBackend{
			Type:             madmin.ErasureType,
			OnlineDisks:      onlineDisks.Sum(),
			OfflineDisks:     offlineDisks.Sum(),
			StandardSCParity: backendInfo.StandardSCParity,
			RRSCParity:       backendInfo.RRSCParity,
			TotalSets:        backendInfo.TotalSets,
			DrivesPerSet:     backendInfo.DrivesPerSet,
		}

			h.Write([]byte{0})
		}

		buffer := make([]byte, test.length)
		n, err := xlStorage.ReadFile(t.Context(), volume, test.file, int64(test.offset), buffer, NewBitrotVerifier(test.algorithm, h.Sum(nil)))

		switch {
		case err == nil && test.expError != nil:
			t.Errorf("Test %d: Expected error %v but got none.", i, test.expError)
		case err == nil && n != int64(test.length):

</p>

<pre>
// sum returns the sum (concatenation, for strings) of its arguments.
func sum[T ~int | ~float64 | ~string](x... T) T { … }

x := sum                       // illegal: the type of x is unknown
intSum := sum[int]             // intSum has type func(x... int) int
a := intSum(2, 3)              // a has value 5 of type int
b := sum[float64](2.0, 3)      // b has value 5.0 of type float64

	// filename characters and needs to have bounded length.
	{
		h := sha256.New()
		h.Write([]byte("openid:" + subFromToken + ":" + issFromToken))
		bs := h.Sum(nil)
		cred.ParentUser = base64.RawURLEncoding.EncodeToString(bs)
	}

	// Deny this assume role request if the policy that the user intends to bind
	// has a sts:DurationSeconds condition, which is not satisfied as well

        Keras training loops like `fit`/`evaluate`, the unreduced vector loss is
        passed to the optimizer but the reported loss will be a scalar value.
    *   `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar
        `SUM` divided by number of elements in losses. This reduction type is
        not supported when used with `tf.distribute.Strategy` outside of
        built-in training loops like `tf.keras` `compile`/`fit`.

            assertEquals(initial + append, content, "Content should include both initial and appended");
        }

        assertEquals(initial.length() + append.length(), file.length(), "File size should be sum of both contents");
    }

    @Test
    void testEmptyDirectory() throws Exception {
        // Test operations on empty directories
        long timestamp = System.currentTimeMillis();

		if err != nil {
			writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
			return
		}

		// Set the correct hex md5sum for the fan-out stream.
		fanOutOpts.MD5Hex = hex.EncodeToString(md5w.Sum(nil))

		concurrentSize := min(runtime.GOMAXPROCS(0), 100)

		fanOutResp := make([]minio.PutObjectFanOutResponse, 0, len(fanOutEntries))
		eventArgsList := make([]eventArgs, 0, len(fanOutEntries))
		for {

	hm := hmac.New(sha1.New, []byte(secretAccessKey))
	hm.Write([]byte(stringToSign))

	// Calculate signature.
	signature := base64.StdEncoding.EncodeToString(hm.Sum(nil))

	query := req.URL.Query()
	// Handle specially for Google Cloud Storage.
	query.Set("AWSAccessKeyId", accessKeyID)
	// Fill in Expires for presigned query.