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`.

	if ns.IdentifierMaxLength == 0 {
		ns.IdentifierMaxLength = 64
	}

	if utf8.RuneCountInString(formattedName) > ns.IdentifierMaxLength {
		h := sha1.New()
		h.Write([]byte(formattedName))
		bs := h.Sum(nil)

		formattedName = formattedName[0:ns.IdentifierMaxLength-8] + hex.EncodeToString(bs)[:8]
	}
	return formattedName
}

var (
	// https://github.com/golang/lint/blob/master/lint.go#L770

		return nil
	}

	var n int64
	h := md5.New()
	for _, etag := range etags {
		if !etag.IsMultipart() && !etag.IsEncrypted() {
			h.Write(etag)
			n++
		}
	}
	etag := append(h.Sum(nil), '-')
	return strconv.AppendInt(etag, n, 10)
}

// Set adds the ETag to the HTTP headers. It overwrites any
// existing ETag entry.
//
// Due to legacy S3 clients, that make incorrect assumptions

			// ID, so we can get a short roleARN that stays the same on
			// restart.
			var resourceID string
			{
				h := sha1.New()
				h.Write([]byte(p.ClientID))
				bs := h.Sum(nil)
				resourceID = base64.RawURLEncoding.EncodeToString(bs)
			}
			p.roleArn, err = arn.NewIAMRoleARN(resourceID, serverRegion)
			if err != nil {

	if err != nil {
		return err
	}
	borrow := signer.HashBorrower()
	hasher := hmac.New(borrow.Borrow, key)
	hasher.Write(token[:i])
	if !hmac.Equal((*bufp)[:n], hasher.Sum(nil)) {
		borrow.ReturnAll()
		return jwtgo.ErrSignatureInvalid
	}
	borrow.ReturnAll()

	if claims.AccessKey == "" && claims.Subject == "" {
		return jwtgo.NewValidationError("accessKey/sub missing",

        regA(builder);
        return builder;
    }

    protected SumAggregationBuilder regSumA(String name, String field) {
        SumAggregationBuilder builder = AggregationBuilders.sum(name).field(field);
        regA(builder);
        return builder;
    }

    protected ExtendedStatsAggregationBuilder regExtendedStatsA(String name, String field) {

    val afterRemoveFileContents = if (windows) "a1234" else null

    set("a", "a1234", "a1234")
    val a = cache.edit("a")!!
    a.setString(0, "a123")
    cache.maxSize = 8 // Smaller than the sum of active edits!
    cache.flush() // Force trimToSize().
    assertThat(cache.size()).isEqualTo(expectedByteCount)
    assertThat(readFileOrNull(getCleanFile("a", 0))).isEqualTo(afterRemoveFileContents)

			nil, nil),
		prometheus.GaugeValue,
		float64(offlineDisks.Sum()),
	)

	// MinIO Total Disks per node
	ch <- prometheus.MustNewConstMetric(
		prometheus.NewDesc(
			prometheus.BuildFQName(minioNamespace, "drives", "total"),
			"Total number of drives for current MinIO server instance",
			nil, nil),
		prometheus.GaugeValue,
		float64(totalDisks.Sum()),
	)

	for _, disk := range server.Disks {

        regA(builder);
        return builder;
    }

    protected SumAggregationBuilder regSumA(String name, String field) {
        SumAggregationBuilder builder = AggregationBuilders.sum(name).field(field);
        regA(builder);
        return builder;
    }

    protected ExtendedStatsAggregationBuilder regExtendedStatsA(String name, String field) {

        regA(builder);
        return builder;
    }

    protected SumAggregationBuilder regSumA(String name, String field) {
        SumAggregationBuilder builder = AggregationBuilders.sum(name).field(field);
        regA(builder);
        return builder;
    }

    protected ExtendedStatsAggregationBuilder regExtendedStatsA(String name, String field) {