this.resolver = resolver;
        }

        /**
         * Resolves credentials of the specified type using the provided function.
         *
         * @param <CREDENTIAL> the credential type
         * @param credentialType the class of the credential type
         * @param oneArgLambda the function to apply for credential resolution
         */

	}

	// Parse conditions.
	for _, val := range rawPolicy.Conditions {
		switch condt := val.(type) {
		case map[string]any: // Handle key:value map types.
			for k, v := range condt {
				if !isString(v) { // Pre-check value type.
					// All values must be of type string.
					return parsedPolicy, fmt.Errorf("Unknown type %s of conditional field value %s found in POST policy form", reflect.TypeOf(condt).String(), condt)
				}

type BucketRemoteIdenticalToSource struct {
	GenericError
	Endpoint string
}

func (e BucketRemoteIdenticalToSource) Error() string {
	return fmt.Sprintf("Remote service endpoint %s is self referential to current cluster", e.Endpoint)
}

// BucketRemoteAlreadyExists remote already exists for this target type.
type BucketRemoteAlreadyExists GenericError

          <version>1.0.0+</version>
          <type>String</type>
          <description>The version of the dependency.</description>
        </field>
        <field>
          <name>type</name>
          <version>1.0.0+</version>
          <type>String</type>
          <defaultValue>jar</defaultValue>
          <description>The type of dependency.</description>
        </field>
      </fields>

   * future changes to it will alter the behavior of the predicate.
   *
   * <p>This method can technically accept any {@code Collection<?>}, but using a typed collection
   * helps prevent bugs. This approach doesn't block any potential users since it is always possible
   * to use {@code Predicates.<Object>in()}.
   *

    assertThat(buffer.readByteString()).isEqualTo("A20743054A6F6E6573".decodeHex())
  }

  @Test fun `decode implicit tagged implicit prefixed type`() {
    // Type1 ::= VisibleString
    // Type2 ::= [APPLICATION 3] IMPLICIT Type1
    // Type3 ::= [2] Type2
    // Type4 ::= [APPLICATION 7] IMPLICIT Type3
    val buffer =
      Buffer()
        .write("670743054A6F6E6573".decodeHex())

    val derReader = DerReader(buffer)

     *
     * @param tc
     *            context to use
     * @param type1
     *            The Type-1 message which this represents a response to.
     */
    public Type2Message(final CIFSContext tc, final Type1Message type1) {
        this(tc, type1, null, null);
    }

    /**
     * Creates a Type-2 message in response to the given Type-1 message.
     *
     * @param tc
     *            context to use

  }

  private static class TypeA {}

  private interface TypeB {}

  private static class HasBoth extends TypeA implements TypeB {}

  @GwtIncompatible // Iterables.filter(Iterable, Class)
  public void testFilterByType_iterator() throws Exception {
    HasBoth hasBoth = new HasBoth();
    Iterable<TypeA> alist = Lists.newArrayList(new TypeA(), new TypeA(), hasBoth, new TypeA());

### Generieke types met typeparameters

Er zijn enkele datastructuren die andere waarden kunnen bevatten, zoals `dict`, `list`, `set` en `tuple` en waar ook de interne waarden hun eigen type kunnen hebben.

Deze types die interne types hebben worden “**generieke**” types genoemd. Het is mogelijk om ze te declareren, zelfs met hun interne types.

    static Stream<Arguments> intGetterProvider() {
        return Stream.of(Arguments.of((IntGetter) FileEntry::getType, -1, "negative type"),
                Arguments.of((IntGetter) FileEntry::getType, 0, "zero type"),
                Arguments.of((IntGetter) FileEntry::getType, Integer.MAX_VALUE, "max type"),

                Arguments.of((IntGetter) FileEntry::getAttributes, 0, "no attributes"),