table.put("c", "b", "a");
    table.put("b", "b", "x");
    table.put("b", "c", "y");
    table.put("b", "x", "n");
    table.put("a", "a", "d");
    table.row("b").subMap("c", "x").clear();
    assertEquals(table.row("b"), ImmutableMap.of("b", "x", "x", "n"));
    table.row("b").subMap("b", "y").clear();
    assertEquals(table.row("b"), ImmutableMap.of());
    assertFalse(table.backingMap.containsKey("b"));
  }

  @Override
  protected Table<String, Integer, Character> create(@Nullable Object... data) {
    Table<Integer, String, Character> original = HashBasedTable.create();
    Table<String, Integer, Character> table = transpose(original);
    table.clear();
    populate(table, data);
    return table;
  }

  public void testTransposeTransposed() {
    Table<Integer, String, Character> original = HashBasedTable.create();

  }

  @Override
  Table<String, Character, Integer> makeTable() {
    Table<String, Character, Integer> table = HashBasedTable.create();
    return unmodifiableTable(table);
  }

  @Override
  protected Map<String, Integer> makePopulatedMap() {
    Table<String, Character, Integer> table = HashBasedTable.create();
    table.put("one", 'a', 1);
    table.put("two", 'a', 2);
    table.put("three", 'a', 3);

  }

  @Override
  Table<Character, String, Integer> makeTable() {
    Table<Character, String, Integer> table = HashBasedTable.create();
    return transformValues(table, TableCollectionTest.DIVIDE_BY_2);
  }

  @Override
  protected Map<String, Integer> makePopulatedMap() {
    Table<Character, String, Integer> table = HashBasedTable.create();
    table.put('a', "one", 2);
    table.put('a', "two", 4);

    table.put("c", "b", "a");
    table.put("b", "b", "x");
    table.put("b", "c", "y");
    table.put("b", "x", "n");
    table.put("a", "a", "d");
    table.row("b").subMap("c", "x").clear();
    assertEquals(table.row("b"), ImmutableMap.of("b", "x", "x", "n"));
    table.row("b").subMap("b", "y").clear();
    assertEquals(table.row("b"), ImmutableMap.of());
    assertFalse(table.backingMap.containsKey("b"));
  }

		Result: "`table`.`col` AS `alias`",
	}, {
		SQL:    "?",
		Vars:   []interface{}{clause.Column{Table: "table", Name: "col", Alias: "alias", Raw: true}},
		Result: "table.col AS alias",
	}, {
		SQL:    "?",
		Vars:   []interface{}{clause.Table{Name: "table", Alias: "alias"}},
		Result: "`table` `alias`",
	}, {
		SQL:    "?",

  }

  @Override
  Table<String, Character, Integer> makeTable() {
    RowSortedTable<String, Character, Integer> table = TreeBasedTable.create();
    return unmodifiableRowSortedTable(table);
  }

  @Override
  protected Map<String, Integer> makePopulatedMap() {
    RowSortedTable<String, Character, Integer> table = TreeBasedTable.create();
    table.put("one", 'a', 1);
    table.put("two", 'a', 2);

    ImmutableValueGraph<String, Integer> immutableValueGraph =
        ImmutableValueGraph.copyOf(ValueGraphBuilder.directed().<String, Integer>build());

    assertThat(immutableValueGraph.incidentEdgeOrder()).isEqualTo(ElementOrder.stable());
  }

  @Test
  public void incidentEdgeOrder_fromUnorderedGraph_stable() {
    ImmutableValueGraph<String, Integer> immutableValueGraph =
        ImmutableValueGraph.copyOf(

  }

  // Stable order tests

  // Note: Stable order means that the ordering doesn't change between iterations and versions.
  // Ideally, the ordering in test should never be updated.
  @Test
  public void stableIncidentEdgeOrder_edges_returnsInStableOrder() {
    assume().that(graph.incidentEdgeOrder().type()).isEqualTo(ElementOrder.Type.STABLE);

    populateStarShapedGraph();

the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a
non-guaranteed backward compatible API for
[other languages](https://www.tensorflow.org/api_docs).