// optimize reflect value length
						valueLen := reflectValue.Len()
						values := make([]interface{}, valueLen)
						for i := 0; i < valueLen; i++ {
							values[i] = reflectValue.Index(i).Interface()
						}

						if len(values) > 0 {
							conds = append(conds, clause.IN{Column: clause.Column{Table: curTable, Name: clause.PrimaryKey}, Values: values})

        assertEquals(WitnessVersion.VERSION_1, WitnessVersion.valueOf("VERSION_1"));
        assertEquals(WitnessVersion.VERSION_2, WitnessVersion.valueOf("VERSION_2"));

        assertEquals(WitnessEventType.RESOURCE_CHANGE, WitnessEventType.valueOf("RESOURCE_CHANGE"));
        assertEquals(WitnessEventType.CLIENT_MOVE, WitnessEventType.valueOf("CLIENT_MOVE"));
    }

    @Test

	return makeTestTargetURL(endPoint, bucketName, "", url.Values{})
}

// return URL for creating the bucket.
func getBucketVersioningConfigURL(endPoint, bucketName string) string {
	vals := make(url.Values)
	vals.Set("versioning", "")
	return makeTestTargetURL(endPoint, bucketName, "", vals)
}

// return URL for listing buckets.
func getListBucketURL(endPoint string) string {

 * Tests all enum functionality including values, valueOf, ordinal, and serialization.
 */
public class CrawlerStatusTest extends PlainTestCase {

    /**
     * Test that all expected enum values exist
     */
    public void test_enumValues() {
        CrawlerStatus[] values = CrawlerStatus.values();

        assertNotNull(values);
        assertEquals(3, values.length);

        // Verify all expected values exist

* Retrieve the stored data.
* Put that data in a Pydantic model.
* Generate a `dict` without default values from the input model (using `exclude_unset`).
    * This way you can update only the values actually set by the user, instead of overriding values already stored with default values in your model.
* Create a copy of the stored model, updating its attributes with the received partial updates (using the `update` parameter).

    }

    /**
     * Puts multiple values for a given key in the metadata.
     *
     * @param key the metadata key
     * @param values the values to associate with the key
     */
    public void putValues(final String key, final String[] values) {
        metadata.put(key, values);
    }

    /**
     * Puts a single value for a given key in the metadata.
     *
     * @param key the metadata key

	} {
		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

{* ../../docs_src/dependencies/tutorial006_an_py39.py hl[10,15] *}

### Return values { #return-values }

And they can return values or not, the values won't be used.

So, you can reuse a normal dependency (that returns a value) you already use somewhere else, and even though the value won't be used, the dependency will be executed:

{* ../../docs_src/dependencies/tutorial006_an_py39.py hl[11,16] *}

			),
			metricType,
			metric.Value,
			values...)
		return true
	})
}

func getOrderedLabelValueArrays(labelsWithValue map[string]string) (labels, values []string) {
	labels = make([]string, 0, len(labelsWithValue))
	values = make([]string, 0, len(labelsWithValue))
	for l, v := range labelsWithValue {
		labels = append(labels, l)
		values = append(values, v)
	}
	return
}

///

#### Data with values for fields with defaults { #data-with-values-for-fields-with-defaults }

But if your data has values for the model's fields with default values, like the item with ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,