}

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

  @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);

    assertEquals(1, binarySearch(0, 6) { index -> 3.compareTo(table[index]) })
    assertEquals(2, binarySearch(0, 6) { index -> 5.compareTo(table[index]) })
    assertEquals(3, binarySearch(0, 6) { index -> 7.compareTo(table[index]) })
    assertEquals(4, binarySearch(0, 6) { index -> 9.compareTo(table[index]) })
    assertEquals(5, binarySearch(0, 6) { index -> 11.compareTo(table[index]) })

  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(

    AtomicReferenceArray<ReferenceEntry<Object, Object>> table = segment.table;
    int index = hash & (table.length() - 1);

    // already loading
    DummyEntry<Object, Object> entry = DummyEntry.create(key, hash, null);
    DummyValueReference<Object, Object> valueRef = DummyValueReference.create(null);
    valueRef.setLoading(true);
    entry.setValueReference(valueRef);
    table.set(index, entry);

        };
    Map<String, Map<Integer, Character>> backingMap = new LinkedHashMap<>();
    Table<String, Integer, Character> table = newCustomTable(backingMap, factory);
    populate(table, data);
    return table;
  }

  public void testRowKeySetOrdering() {
    table = create("foo", 3, 'a', "bar", 1, 'b', "foo", 2, 'c');
    assertThat(table.rowKeySet()).containsExactly("foo", "bar").inOrder();
  }

  public void testRowOrdering() {

    TreeBasedTable<String, Integer, Character> table = TreeBasedTable.create();
    table.put("a", 1, 'a');
    return table;
  }

  @Override
  protected Map<String, Map<Integer, Character>> makePopulatedMap() {
    TreeBasedTable<String, Integer, Character> table = makeTable();
    populateTable(table);
    return table.rowMap().tailMap("b");
  }

  @Override

		t.Errorf("Table with escape character, got %v", r.Statement.SQL.String())
	}

	r = dryDB.Table("`people`").Table("`user`").Find(&User{}).Statement
	if !regexp.MustCompile("SELECT \\* FROM `user`").MatchString(r.Statement.SQL.String()) {
		t.Errorf("Table with escape character, got %v", r.Statement.SQL.String())
	}

	r = dryDB.Table("people as p").Table("user as u").Find(&User{}).Statement

#fff}.bootstrap-timepicker-widget a.btn,.bootstrap-timepicker-widget input{border-radius:4px}.bootstrap-timepicker-widget table{width:100%;margin:0}.bootstrap-timepicker-widget table td{text-align:center;height:30px;margin:0;padding:2px}.bootstrap-timepicker-widget table td:not(.separator){min-width:30px}.bootstrap-timepicker-widget table td span{width:100%}.bootstrap-timepicker-widget table td a{border:1px transparent solid;width:100%;display:inline-block;margin:0;padding:8px 0;outline:0;color:#333}.bo...

    // Compute the hash table.
    char[] table = new char[chooseTableSize(size)];
    int mask = table.length - 1;
    for (int c = chars.nextSetBit(0); c != -1; c = chars.nextSetBit(c + 1)) {
      // Compute the filter at the same time.
      filter |= 1L << c;
      int index = smear(c) & mask;
      while (true) {
        // Check for empty.
        if (table[index] == 0) {
          table[index] = (char) c;

Dit framework heeft voor alles verstandige **standaardinstellingen**, met overal optionele configuraties. Alle parameters kunnen worden verfijnd zodat het past bij wat je nodig hebt, om zo de API te kunnen definiëren die jij nodig hebt.

Maar standaard werkt alles **“gewoon”**.

### Validatie

* Validatie voor de meeste (of misschien wel alle?) Python **datatypes**, inclusief:
    * JSON objecten (`dict`).