sort(values, navigableSet.comparator());

    // some tests assume SEVERAL == 3
    if (values.size() >= 1) {
      a = values.get(0);
      if (values.size() >= 3) {
        b = values.get(1);
        c = values.get(2);
      }
    }
  }

  /** Resets the contents of navigableSet to have elements a, c, for the navigation tests. */
  protected void resetWithHole() {

                        final String[] values = (String[]) e.getValue();
                        for (final String v : values) {
                            result.getSearchFieldLogList().add(new Pair<>(e.getKey(), v));
                        }
                    } else if (e.getValue() instanceof List) {
                        final List<String> values = (List<String>) e.getValue();

    this.keys = keys;
    this.values = values;
  }

  @Override
  public SampleElements<Entry<K, V>> samples() {
    return SampleElements.mapEntries(keys, values);
  }

  @Override
  public Set<Entry<K, V>> create(Object... elements) {
    Entry<K, V>[] entries = createArray(elements.length);
    arraycopy(elements, 0, entries, 0, elements.length);
    return createFromEntries(entries);
  }

* 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).

    sort(values, sortedSet.comparator());

    // some tests assume SEVERAL == 3
    if (values.size() >= 1) {
      a = values.get(0);
      if (values.size() >= 3) {
        b = values.get(1);
        c = values.get(2);
      }
    }
  }

  @CollectionSize.Require(ZERO)
  public void testEmptySetFirst() {
    assertThrows(NoSuchElementException.class, () -> sortedSet.first());
  }

    }

    @Override
    int expectedValueCollectionSize(int defaultExpectedValues, Iterable<?> values) {
      // Only trust the size of `values` if it is a Set and therefore probably already deduplicated.
      if (values instanceof Set<?>) {
        Set<?> collection = (Set<?>) values;
        return max(defaultExpectedValues, collection.size());
      } else {
        return defaultExpectedValues;
      }

      assertEquals(WARMUP_SIZE, values.size());
      for (int i = WARMUP_MIN; i < WARMUP_MAX; i++) {
        Object value = warmed.get(i - WARMUP_MIN).getValue();
        assertTrue(values.contains(value));
        assertTrue(values.remove(value));
        assertFalse(values.remove(value));
        assertFalse(values.contains(value));
      }
      checkEmpty(values);
      checkEmpty(cache);
    }
  }

/**
 * A {@code Multimap} that can hold duplicate key-value pairs and that maintains the insertion
 * ordering of values for a given key. See the {@link Multimap} documentation for information common
 * to all multimaps.
 *
 * <p>The {@link #get}, {@link #removeAll}, and {@link #replaceValues} methods each return a {@link
 * List} of values. Though the method signature doesn't say so explicitly, the map returned by

/**
 * A {@code Multimap} that can hold duplicate key-value pairs and that maintains the insertion
 * ordering of values for a given key. See the {@link Multimap} documentation for information common
 * to all multimaps.
 *
 * <p>The {@link #get}, {@link #removeAll}, and {@link #replaceValues} methods each return a {@link
 * List} of values. Though the method signature doesn't say so explicitly, the map returned by

    public void setGidNumber_PercentileRanks(double[] values) {
        setGidNumber_PercentileRanks(values, null);
    }

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

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