"oricât", "orice", "oricînd", "oricine", "oricît", "oricum", "oriunde", "până", "pe", "pentru", "peste", "pînă", "poate", "pot", "prea", "prima", "primul", "prin", "printr", "sa", "să", "săi", "sale", "sau", "său", "se", "şi", "sînt", "sîntem", "sînteţi", "spre", "sub", "sunt", "suntem", "sunteţi", "ta", "tăi", "tale", "tău", "te", "ţi", "ţie", "tine", "toată", "toate", "tot", "toţi", "totuşi", "tu", "un", "una", "unde", "undeva", "unei", "unele", "uneori", "unor", "vă", "vi", "voastră", "voastre", "voi",...

  /**
   * Copies all mappings from the specified table to this table. The effect is equivalent to calling
   * {@link #put} with each row key / column key / value mapping in {@code table}.
   *
   * @param table the table to add to this table
   */
  void putAll(Table<? extends R, ? extends C, ? extends V> table);

  /**
   * Removes the mapping, if any, associated with the given keys.
   *

    /**
     * Checks the whole hash table for poor hash distribution. Takes O(n) in the worst case, O(n /
     * log n) on average.
     *
     * <p>The online hash flooding detecting in RegularSetBuilderImpl.add can detect e.g. many
     * exactly matching hash codes, which would cause construction to take O(n^2), but can't detect
     * e.g. hash codes adversarially designed to go into ascending table locations, which keeps

    return makeImmutable(entry, entry.getKey(), entry.getValue());
  }

  private RegularImmutableMap(
      Entry<K, V>[] entries, @Nullable ImmutableMapEntry<K, V> @Nullable [] table, int mask) {
    this.entries = entries;
    this.table = table;
    this.mask = mask;
  }

  /**
   * Checks if the given key already appears in the hash chain starting at {@code keyBucketHead}. If

        Multiset<String> multiset,
        ImmutableMultiset<Integer> immutableMultiset,
        Multimap<String, Integer> multimap,
        ImmutableMultimap<String, Integer> immutableMultimap,
        Table<String, Integer, Exception> table,
        ImmutableTable<Integer, String, Exception> immutableTable) {
      calledWith(
          gender,
          integer,
          i,
          string,
          charSequence,

          }
        }
      }
      table = newTable;
      this.count = newCount;
    }

    boolean replace(K key, int hash, V oldValue, V newValue) {
      lock();
      try {
        preWriteCleanup();

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

    table.put("cat", 1, 'b');
    table.clear();
    populate(table, data);
    return table;
  }

  public void testCreateExplicitComparators() {
    table = TreeBasedTable.create(Collections.reverseOrder(), Ordering.usingToString());
    table.put("foo", 3, 'a');
    table.put("foo", 12, 'b');
    table.put("bar", 5, 'c');
    table.put("cat", 8, 'd');

  private static void populateForRowKeySet(
      Table<String, Integer, Character> table, String[] elements) {
    for (String row : elements) {
      table.put(row, 1, 'a');
      table.put(row, 2, 'b');
    }
  }

  private static void populateForColumnKeySet(
      Table<Integer, String, Character> table, String[] elements) {
    for (String column : elements) {
      table.put(1, column, 'a');
      table.put(2, column, 'b');

  }

  static boolean equalsImpl(Table<?, ?, ?> table, @Nullable Object obj) {
    if (obj == table) {
      return true;
    } else if (obj instanceof Table) {
      Table<?, ?, ?> that = (Table<?, ?, ?>) obj;
      return table.cellSet().equals(that.cellSet());
    } else {
      return false;
    }
  }