* <p>The returned table will be serializable if the specified table is serializable.
   *
   * @param table the table to be wrapped in a synchronized view
   * @return a synchronized view of the specified table
   * @since 22.0
   */
  public static <R extends @Nullable Object, C extends @Nullable Object, V extends @Nullable Object>
      Table<R, C, V> synchronizedTable(Table<R, C, V> table) {
    return Synchronized.table(table, null);
  }

          Tables.immutableCell("bar", 1, 'a'),
          Tables.immutableCell("bar", 2, 'b'),
          Tables.immutableCell("foo", 3, 'c'),
          Tables.immutableCell("bar", 1, 'b'),
          Tables.immutableCell("cat", 2, 'b'));
    }

    @Override
    public Set<Cell<String, Integer, Character>> create(Object... elements) {
      Table<String, Integer, Character> table = createTable();

          Tables.immutableCell("bar", 1, 'a'),
          Tables.immutableCell("bar", 2, 'b'),
          Tables.immutableCell("foo", 3, 'c'),
          Tables.immutableCell("bar", 1, 'b'),
          Tables.immutableCell("cat", 2, 'b'));
    }

    @Override
    public Set<Cell<String, Integer, Character>> create(Object... elements) {
      Table<String, Integer, Character> table = createTable();

  }

  /**
   * Returns an immutable copy of the provided table.
   *
   * <p>The {@link Table#cellSet()} iteration order of the provided table determines the iteration
   * ordering of all views in the returned table. Note that some views of the original table and the
   * copied table may have different iteration orders. For more control over the ordering, create a

    }
  }

  /**
   * Returns the bucket (in either the K-to-V or V-to-K tables) where elements with the specified
   * hash could be found, if present, or could be inserted.
   */
  private int bucket(int hash) {
    return hash & (hashTableKToV.length - 1);
  }

  /** Given a key, returns the index of the entry in the tables, or ABSENT if not found. */
  int findEntryByKey(@CheckForNull Object key) {

  }

  public void testCopyOfSparse() {
    Table<Character, Integer, String> table = TreeBasedTable.create();
    table.put('x', 2, "foo");
    table.put('r', 1, "bar");
    table.put('c', 3, "baz");
    table.put('b', 7, "cat");
    table.put('e', 5, "dog");
    table.put('c', 0, "axe");
    table.put('e', 3, "tub");
    table.put('r', 4, "foo");
    table.put('x', 5, "bar");
    validateTableCopies(table);
  }

  /**
   * 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.
   *

  public void testToTable() {
    Collector<Cell<String, String, Integer>, ?, Table<String, String, Integer>> collector =
        TableCollectors.toTable(
            Cell::getRowKey, Cell::getColumnKey, Cell::getValue, HashBasedTable::create);
    BiPredicate<Table<String, String, Integer>, Table<String, String, Integer>> equivalence =
        pairwiseOnResultOf(Table::cellSet);
    CollectorTester.of(collector, equivalence)
        .expectCollects(

 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table
 * implementations in Java use). For the many uses of hash functions beyond data structures,

import com.google.common.collect.SortedMapDifference;
import com.google.common.collect.SortedMultiset;
import com.google.common.collect.SortedSetMultimap;
import com.google.common.collect.Table;
import com.google.common.collect.Tables;
import com.google.common.collect.TreeBasedTable;
import com.google.common.collect.TreeMultimap;
import com.google.common.io.ByteSink;
import com.google.common.io.ByteSource;