@Override
  public int setCount(E element, int count) {
    checkIsE(element);
    checkNonnegative(count, "count");
    int index = element.ordinal();
    int oldCount = counts[index];
    counts[index] = count;
    size += count - oldCount;
    if (oldCount == 0 && count > 0) {
      distinctElements++;
    } else if (oldCount > 0 && count == 0) {
      distinctElements--;
    }
    return oldCount;

    final Object[] elements;
    final int[] counts;

    // "extends Object" works around https://github.com/typetools/checker-framework/issues/3013
    SerializedForm(Multiset<? extends Object> multiset) {
      int distinct = multiset.entrySet().size();
      elements = new Object[distinct];
      counts = new int[distinct];
      int i = 0;

* Get parent dir via canonical absolute path when trying to judge mount-point ([#58433](https://github.com/kubernetes/kubernetes/pull/58433), [@yue9944882](https://github.com/yue9944882))

- Fix the problem Pod terminating stuck because of trying to umount not actual mounted dir. ([#115769](https://github.com/kubernetes/kubernetes/pull/115769),...

- Fix: set "host is down" as corrupted mount. When SMB server is down, there is no way to terminate pod which is using SMB mount, would get an error. ([#101398](https://github.com/kubernetes/kubernetes/pull/101398), [@andyzhangx](https://github.com/andyzhangx))

[`filepath.EvalSymlinks`](/pkg/path/filepath#EvalSymlinks) no longer evaluates
mount points, which was a source of many inconsistencies and bugs.
At previous versions (`winsymlink=0`), mount points are treated as symlinks,
and other reparse points with non-default [`os.ModeType`](/pkg/os#ModeType) bits
(such as [`os.ModeDir`](/pkg/os#ModeDir)) do not have the `ModeIrregular` bit set.

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**
     * Map containing query facet counts, where keys are decoded query strings
     * and values are document counts for each query.
     */

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

Use one of the following approaches to view job output:

* terminals: terminales (plural femenine, as in "las terminales")
* lifespan: lifespan (do not translate to "vida útil" or "tiempo de vida")
* unload: quitar de memoria (do not translate to "descargar")
* mount (noun): mount (do not translate to "montura")
* mount (verb): montar
* statement (as in code statement): statement (do not translate to "declaración" or "sentencia")

     * Gets the total number of records in the search result set.
     *
     * @return the total record count
     */
    public long getAllRecordCount() {
        return allRecordCount;
    }

    /**
     * Gets the relation type for the total record count.
     *
     * @return the relation type (e.g., "eq" for exact count, "gte" for greater than or equal)
     */
    public String getAllRecordCountRelation() {