setCreatedTime_PercentileRanks(values, null);
    }

    public void setCreatedTime_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setCreatedTime_PercentileRanks("createdTime", values, opLambda);
    }

    public void setCreatedTime_PercentileRanks(String name, double[] values,

	} {
		if values, ok := cloneHeader[objLock]; ok {
			args[strings.TrimPrefix(objLock, "X-Amz-")] = values
		}
		cloneHeader.Del(objLock)
	}

	for key, values := range cloneHeader {
		if strings.EqualFold(key, xhttp.AmzObjectTagging) {
			continue
		}
		if existingValues, found := args[key]; found {
			args[key] = append(existingValues, values...)
		} else {
			args[key] = values

 * it easy to get sample values to use in such tests.
 *
 * This class is pretty fast and loose with default values: it attempts to provide values that are
 * well-formed, but doesn't guarantee values are internally consistent. Callers must take care to
 * configure the factory when sample values impact the correctness of the test.
 */
class TestValueFactory : Closeable {

		ReflectValue: reflect.ValueOf(dest),
		Dest:         dest,
	}

	stmt.Schema = s

	values := ConvertToCreateValues(stmt)
	expected := clause.Values{
		// column has value + defaultValue column has value (which should have a stable order)
		Columns: []clause.Column{{Name: "name"}, {Name: "email"}, {Name: "age"}, {Name: "id"}},
		Values: [][]interface{}{
			{"alice", "email", 18, 1},
			{"bob", "email", 19, 2},
		},
	}

				<DelMarkerExpiration>
					<Days>365</Days>
				</DelMarkerExpiration>
                            <Status>Enabled</Status>
	                    </Rule>`,
			expectedErr: errInvalidRuleDelMarkerExpiration,
		},
		{
			inputXML: `<Rule>
				<ID>Rule with multiple tags and DelMarkerExpiration</ID>
				<Filter><And>
				<Tag><Key>k1</Key><Value>v1</Value></Tag>

// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:
// auto* streamz = tensorflow::monitoring::Counter<1>::New("name",
// "description", "label");
// and then incremented that counter for various values of label:
// streamz->GetCell("label-value")->IncrementBy(1);
//

TF_Tensor* BoolTensor(int32_t v);

// Create a tensor with values of type TF_INT8 provided by `values`.
TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values);

// Create a tensor with values of type TF_INT32 provided by `values`.
TF_Tensor* Int32Tensor(const int64_t* dims, int num_dims,
                       const int32_t* values);

// Create 1 dimensional tensor with values from `values`

   * This method will reorder the values with indexes in the range [{@code from}, {@code to}] such
   * that all the values with indexes in the range [{@code from}, {@code required}) are less than or
   * equal to the value with index {@code required}, and all the values with indexes in the range
   * ({@code required}, {@code to}] are greater than or equal to that value. Therefore, the value at

    Collection<V> values = multimap().get(k3());
    if (values.size() == 0) {
      expectUnchanged();
      // Be extra thorough in case internal state was corrupted by the expected null.
      assertEquals(Lists.newArrayList(), Lists.newArrayList(values));
      assertEquals(size, multimap().size());
    } else {

func appendSettingFromTag(tag reflect.StructTag, value string) reflect.StructTag {
	t := tag.Get("gorm")
	if strings.Contains(t, value) {
		return tag
	}
	return reflect.StructTag(fmt.Sprintf(`gorm:"%s;%s"`, value, t))
}

// GetRelationsValues get relations's values from a reflect value
func GetRelationsValues(ctx context.Context, reflectValue reflect.Value, rels []*Relationship) (reflectResults reflect.Value) {
	for _, rel := range rels {