* Conversión de datos
* Validación de datos
* Documentación automática

## Tipos especiales y validación { #special-types-and-validation }

Además de tipos singulares normales como `str`, `int`, `float`, etc., puedes usar tipos singulares más complejos que heredan de `str`.

    assertEquals(Long.valueOf(0), ArbitraryInstances.get(long.class));
    assertEquals(Long.valueOf(0), ArbitraryInstances.get(Long.class));
    assertEquals(Float.valueOf(0), ArbitraryInstances.get(float.class));
    assertEquals(Float.valueOf(0), ArbitraryInstances.get(Float.class));
    assertThat(ArbitraryInstances.get(double.class)).isEqualTo(Double.valueOf(0));
    assertThat(ArbitraryInstances.get(Double.class)).isEqualTo(Double.valueOf(0));

    byte[] data = {0x12, 0x34, 0x56, 0x78, 0x76, 0x54, 0x32, 0x10};
    ByteArrayDataInput in = ByteStreams.newDataInput(data);
    assertThat(in.readFloat()).isEqualTo(Float.intBitsToFloat(0x12345678));
    assertThat(in.readFloat()).isEqualTo(Float.intBitsToFloat(0x76543210));
  }

  public void testNewDataInput_readDouble() {
    byte[] data = {0x12, 0x34, 0x56, 0x78, 0x76, 0x54, 0x32, 0x10};

    List<Byte> bytes = Arrays.asList((byte) 0, (byte) 1, (byte) 2);
    List<Short> shorts = Arrays.asList((short) 0, (short) 1, (short) 2);
    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Ints.toArray(bytes)).isEqualTo(array);

		case 4:
			nameAddr.Sym.WriteFloat32(p.ctxt, nameAddr.Offset, float32(valueAddr.Val.(float64)))
		case 8:
			nameAddr.Sym.WriteFloat64(p.ctxt, nameAddr.Offset, valueAddr.Val.(float64))
		default:
			p.errorf("bad float size for DATA argument: %d", sz)
		}
	case obj.TYPE_SCONST:
		nameAddr.Sym.WriteString(p.ctxt, nameAddr.Offset, sz, valueAddr.Val.(string))
	case obj.TYPE_ADDR:
		if sz == p.arch.PtrSize {

Python hat Unterstützung für optionale „Typhinweise“ (auch „Typannotationen“ genannt).

Diese **„Typhinweise“** oder -Annotationen sind eine spezielle Syntax, die es erlaubt, den <dfn title="zum Beispiel: str, int, float, bool">Typ</dfn> einer Variablen zu deklarieren.

Durch das Deklarieren von Typen für Ihre Variablen können Editoren und Tools bessere Unterstützung bieten.

    assertEquals(0, Defaults.defaultValue(int.class).intValue());
    assertEquals(0, Defaults.defaultValue(long.class).longValue());
    assertEquals(0.0f, Defaults.defaultValue(float.class).floatValue());
    assertThat(Defaults.defaultValue(double.class).doubleValue()).isEqualTo(0.0d);
    assertThat(Defaults.defaultValue(void.class)).isNull();
    assertThat(Defaults.defaultValue(String.class)).isNull();
  }

    assertEquals(0, Defaults.defaultValue(int.class).intValue());
    assertEquals(0, Defaults.defaultValue(long.class).longValue());
    assertEquals(0.0f, Defaults.defaultValue(float.class).floatValue());
    assertThat(Defaults.defaultValue(double.class).doubleValue()).isEqualTo(0.0d);
    assertThat(Defaults.defaultValue(void.class)).isNull();
    assertThat(Defaults.defaultValue(String.class)).isNull();
  }

                "input": "True",
            }
        ]
    }


def test_path_float_42():
    response = client.get("/path/float/42")
    assert response.status_code == 200
    assert response.json() == 42


def test_path_float_42_5():
    response = client.get("/path/float/42.5")
    assert response.status_code == 200
    assert response.json() == 42.5


def test_path_bool_foobar():

@SuppressWarnings("unused") // Nested enums used reflectively in setUp.
@NullUnmarked
public class EnumsBenchmark {

  @Param({"Small", "Medium", "Large"})
  String enumSize;

  @Param({"0.2", "0.8"})
  float hitRate;

  // We could avoid the raw type here by initializing this with a ternary (? SmallEnum.class : ...).
  // However, we end up needing a raw type in getIfPresent, as discussed there.
  @SuppressWarnings("rawtypes")