if dstOpts.Versioned && srcOpts.VersionID != dstOpts.VersionID && !srcInfo.Legacy {
			// CopyObject optimization where we don't create an entire copy
			// of the content, instead we add a reference.
			srcInfo.versionOnly = true
			return z.serverPools[poolIdx].CopyObject(ctx, srcBucket, srcObject, dstBucket, dstObject, srcInfo, srcOpts, dstOpts)
		}
	}

	putOpts := ObjectOptions{

        "//tensorflow/lite/delegates/flex:delegate",
        "//tensorflow/lite/kernels/internal:compatibility",
        "//tensorflow/lite/kernels:builtin_ops",
        "//tensorflow/lite/kernels:reference_ops",
        "//tensorflow/lite/schema:schema_fbs",
        "//tensorflow/lite/toco/logging:conversion_log_util",
        "//tensorflow/lite/toco/logging:toco_conversion_log_proto_cc",

			t.Errorf("Clone(%#v) return value should not be equal to nil slice.", input)
		}

		if cap(input) != 0 && unsafe.SliceData(input) == unsafe.SliceData(clone) {
			t.Errorf("Clone(%q) return value should not reference inputs backing memory.", input)
		}
	}

						dr, _ = configClient.NetworkingV1alpha3().DestinationRules(drNamespace).Get(context.Background(), drName, metav1.GetOptions{})
						if dr == nil {
							fmt.Fprintf(writer,
								"WARNING: Proxy is stale; it references to non-existent destination rule %s.%s\n",
								drName, drNamespace)
						}
						recordDestinationRules[newResourceID(drNamespace, drName)] = dr.DeepCopy()
					}
				}
				if dr != nil {

   *
   * <p>Note: the multimap assumes complete ownership over of {@code map} and the collections
   * returned by {@code factory}. Those objects should not be manually updated and they should not
   * use soft, weak, or phantom references.
   *
   * @param map place to store the mapping from each key to its corresponding values
   * @param factory supplier of new, empty collections that will each hold all values for a given
   *     key

	}

	fi, err = getFileInfo(buf, volume, path, versionID, readData, true)
	if err != nil {
		return fi, err
	}

	if len(fi.Data) == 0 {
		// We did not read inline data, so we have no references.
		defer metaDataPoolPut(buf)
	}

	if readData {
		if len(fi.Data) > 0 || fi.Size == 0 {
			if fi.InlineData() {
				// If written with header we are fine.
				return fi, nil
			}

        SearchResponse response = option.apply(client.prepareSearch(index).setScroll(scrollForUpdate).setSize(sizeForUpdate)
                .setPreference(Constants.SEARCH_PREFERENCE_LOCAL)).execute().actionGet(fessConfig.getIndexScrollSearchTimeout());

        int count = 0;
        String scrollId = response.getScrollId();
        try {
            while (scrollId != null) {

		Number2 uint64     `gorm:"default:NULL"`
		Number3 float64    `gorm:"default:NULL"`
		Now     *time.Time `gorm:"defalut:NULL"`
		Item1Id string
		Item1   *QueryResetItem `gorm:"references:ID"`
		Item2Id string
		Item2   *QueryResetItem `gorm:"references:ID"`
	}

	DB.Migrator().DropTable(&QueryResetNullValue{}, &QueryResetItem{})
	DB.AutoMigrate(&QueryResetNullValue{}, &QueryResetItem{})

	now := time.Now()

	for i, dobj := range dobjects {
		// This object errored, we should attempt a heal just in case.
		if errs[i] != nil && !isErrVersionNotFound(errs[i]) && !isErrObjectNotFound(errs[i]) {
			// all other direct versionId references we should
			// ensure no dangling file is left over.
			er.addPartial(bucket, dobj.ObjectName, dobj.VersionID)
			continue
		}

		// Check if there is any offline disk and add it to the MRF list

      .Attr("v: " #type)                                      \
      .SetShapeFn(tensorflow::shape_inference::UnknownShape); \
  REGISTER_OP("CApiAttributesTestOpList" #type)               \
      .Attr("v: list(" #type ")")                             \
      .SetShapeFn(tensorflow::shape_inference::UnknownShape)
ATTR_TEST_REGISTER_OP(string);
ATTR_TEST_REGISTER_OP(int);
ATTR_TEST_REGISTER_OP(float);