pkg go/types, const SendOnly = 1
pkg go/types, const SendOnly ChanDir
pkg go/types, const SendRecv = 0
pkg go/types, const SendRecv ChanDir
pkg go/types, const String = 17
pkg go/types, const String BasicKind
pkg go/types, const Uint = 7
pkg go/types, const Uint BasicKind
pkg go/types, const Uint16 = 9
pkg go/types, const Uint16 BasicKind
pkg go/types, const Uint32 = 10
pkg go/types, const Uint32 BasicKind

  @CanIgnoreReturnValue
  Type[] resolveTypesInPlace(Type[] types) {
    for (int i = 0; i < types.length; i++) {
      types[i] = resolveType(types[i]);
    }
    return types;
  }

  private Type[] resolveTypes(Type[] types) {
    Type[] result = new Type[types.length];
    for (int i = 0; i < types.length; i++) {
      result[i] = resolveType(types[i]);
    }
    return result;
  }

  @CanIgnoreReturnValue
  Type[] resolveTypesInPlace(Type[] types) {
    for (int i = 0; i < types.length; i++) {
      types[i] = resolveType(types[i]);
    }
    return types;
  }

  private Type[] resolveTypes(Type[] types) {
    Type[] result = new Type[types.length];
    for (int i = 0; i < types.length; i++) {
      result[i] = resolveType(types[i]);
    }
    return result;
  }

Lo mismo sucedería si tuvieras algo como un <abbr title='Una unión entre múltiples tipos significa "cualquiera de estos tipos".'>union</abbr> entre diferentes tipos donde uno o más de ellos no son tipos válidos de Pydantic, por ejemplo esto fallaría 💥:

{* ../../docs_src/response_model/tutorial003_04_py310.py hl[8] *}

	return list
}

func (w *Walker) writeType(buf *bytes.Buffer, typ types.Type) {
	switch typ := typ.(type) {
	case *types.Basic:
		s := typ.Name()
		switch typ.Kind() {
		case types.UnsafePointer:
			s = "unsafe.Pointer"
		case types.UntypedBool:
			s = "ideal-bool"
		case types.UntypedInt:
			s = "ideal-int"
		case types.UntypedRune:
			// "ideal-char" for compatibility with old tool

     * @param object the object to cast
     * @return object cast to type
     * @throws PACDecodingException if types are incompatible
     */
    public static <T> T as(final Class<T> type, final Object object) throws PACDecodingException {
        if (!type.isInstance(object)) {
            throw new PACDecodingException("Incompatible object types " + type + " " + object.getClass());
        }

        return type.cast(object);
    }

    /**

pkg go/types, const FieldVar = 6 #70250
pkg go/types, const FieldVar VarKind #70250
pkg go/types, const LocalVar = 2 #70250
pkg go/types, const LocalVar VarKind #70250
pkg go/types, const PackageVar = 1 #70250
pkg go/types, const PackageVar VarKind #70250
pkg go/types, const ParamVar = 4 #70250
pkg go/types, const ParamVar VarKind #70250
pkg go/types, const RecvVar = 3 #70250

{* ../../docs_src/body/tutorial001.py hl[18] *}

...E declare o tipo como o modelo que você criou, `Item`.

## Resultados

Apenas com esse declaração de tipos do Python, o **FastAPI** irá:

* Ler o corpo da requisição como um JSON.
* Converter os tipos correspondentes (se necessário).
* Validar os dados.
    * Se algum dados for inválido, irá retornar um erro bem claro, indicando exatamente onde e o que está incorreto.

     *            The type of the Bean
     * @return The constructor
     */
    <T> Constructor<T> getConstructor();

    /**
     * Returns an array of the parameter types of the constructor.
     *
     * @return An array of the parameter types of the constructor
     */
    Class<?>[] getParameterTypes();

    /**
     * Returns {@literal true} if the constructor is {@literal public}.
     *

    TypeToken<Object>.TypeSet types = new TypeToken<Object>() {}.getTypes();
    assertThat(types).contains(TypeToken.of(Object.class));
    assertThat(types.rawTypes()).contains(Object.class);
    assertThat(types.interfaces()).isEmpty();
    assertThat(types.interfaces().rawTypes()).isEmpty();
    assertThat(types.classes()).contains(TypeToken.of(Object.class));
    assertThat(types.classes().rawTypes()).contains(Object.class);
  }