*
 * <p>The analyzer processes POM files recursively, tracking string occurrences and their locations within the POM structure.
 * It can identify areas where string deduplication could provide significant memory savings.</p>
 *
 * <p>Usage example:</p>
 * <pre>
 * PomMemoryAnalyzer analyzer = new PomMemoryAnalyzer();
 * Model model = reader.read(Files.newInputStream(pomPath));

        FessCrawlerThread crawlerThread = new FessCrawlerThread();
        assertNotNull(crawlerThread, "FessCrawlerThread should be instantiable");
    }

    /**
     * Test URL deduplication in getAnchorSet
     */
    @Test
    public void test_getAnchorSet_deduplication() {
        FessCrawlerThread crawlerThread = new FessCrawlerThread();

        List<String> urls = new ArrayList<>();

      return ImmutableSet.copyOf(elements);
    }
  }

  public static class DegeneratedImmutableSetGenerator extends TestStringSetGenerator {
    @SuppressWarnings("DistinctVarargsChecker") // deliberately testing deduplication
    @Override
    protected Set<String> create(String[] elements) {
      return ImmutableSet.of(elements[0], elements[0]);
    }
  }

      return ImmutableSet.copyOf(elements);
    }
  }

  public static class DegeneratedImmutableSetGenerator extends TestStringSetGenerator {
    @SuppressWarnings("DistinctVarargsChecker") // deliberately testing deduplication
    @Override
    protected Set<String> create(String[] elements) {
      return ImmutableSet.of(elements[0], elements[0]);
    }
  }

        // Verify array is updated
        assertSame(updatedFields, queryFieldConfig.searchFields);
    }

    /**
     * Test that Sets handle duplicate values correctly (deduplication).
     */
    @Test
    public void test_setFields_withDuplicates_deduplicatesInSet() {
        String[] fieldsWithDuplicates = { "field1", "field2", "field1", "field3", "field2" };

   *         .putAll('a', Arrays.asList('s', 'p', 'a', 'r', 'a', 'g', 'u', 's'))
   *         .putAll('c', Arrays.asList('h', 'e', 'r', 'r', 'y'))
   *         .build();
   *
   * // after deduplication, the resulting multimap is equivalent to
   *
   * static final ImmutableSetMultimap<Character, Character> FIRST_LETTER_MULTIMAP =
   *     ImmutableSetMultimap.<Character, Character>builder()

   *         .putAll('a', Arrays.asList('s', 'p', 'a', 'r', 'a', 'g', 'u', 's'))
   *         .putAll('c', Arrays.asList('h', 'e', 'r', 'r', 'y'))
   *         .build();
   *
   * // after deduplication, the resulting multimap is equivalent to
   *
   * static final ImmutableSetMultimap<Character, Character> FIRST_LETTER_MULTIMAP =
   *     ImmutableSetMultimap.<Character, Character>builder()

      this.elements = (E[]) new Object[ImmutableCollection.Builder.DEFAULT_INITIAL_CAPACITY];
      this.counts = new int[ImmutableCollection.Builder.DEFAULT_INITIAL_CAPACITY];
    }

    /** Check if we need to do deduplication and coalescing, and if so, do it. */
    private void maintenance() {
      if (length == elements.length) {
        dedupAndCoalesce(true);
      } else if (forceCopyElements) {

      if (comparator.compare(cur, prev) != 0) {
        contents[uniques++] = cur;
      }
    }
    Arrays.fill(contents, uniques, n, null);
    if (uniques < contents.length / 2) {
      // Deduplication eliminated many of the elements.  We don't want to retain an arbitrarily
      // large array relative to the number of elements, so we cap the ratio.
      contents = Arrays.copyOf(contents, uniques);
    }

* `tf.lite`
    * Add experimental supports conversion of models that may be larger than 2GB before buffer deduplication

### Bug Fixes and Other Changes

* `tf.py_function` and `tf.numpy_function` can now be used as function decorators for clearer code:
   ```
   @tf.py_function(Tout=tf.float32)
   def my_fun(x):