import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * A type implemented by, or extended by maven plugins or extensions.
 * Maven plugins or extensions may provide implementations of those types which will be used by maven.
 * <p>
 * A type can be marked {@link Consumer} or {@link Provider} but not both. A type is assumed to be
 * {@link Consumer} if it is not marked either {@link Consumer} or {@link Provider}.

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

...this fails because the type annotation is not a Pydantic type and is not just a single `Response` class or subclass, it's a union (any of the two) between a `Response` and a `dict`.

        for (int type : types) {
            // Check if it's a power of 2 (has exactly one bit set)
            assertTrue(type > 0 && (type & (type - 1)) == 0, "Resource type " + type + " should be a power of 2");
        }
    }

     *
     * @param type
     *            the type
     * @param map
     *            a {@link Map} with type variables as keys and type arguments as values for the parameterized type
     * @return a {@link ParameterizedClassDesc} representing the type
     */
    protected static ParameterizedClassDesc createParameterizedClassDesc(final Type type, final Map<TypeVariable<?>, Type> map) {

 *
 * <p>If you have an instance of one of the primary {@code common.graph} types ({@link Graph},
 * {@link ValueGraph}, and {@link Network}):
 *
 * {@snippet :
 * someGraphAlgorithm(startNode, graph);
 * }
 *
 * This works because those types each implement {@code PredecessorsFunction}. It will also work
 * with any other implementation of this interface.
 *

 *
 * <p>If you have an instance of one of the primary {@code common.graph} types ({@link Graph},
 * {@link ValueGraph}, and {@link Network}):
 *
 * {@snippet :
 * someGraphAlgorithm(startNode, graph);
 * }
 *
 * This works because those types each implement {@code SuccessorsFunction}. It will also work with
 * any other implementation of this interface.
 *

        }
    }

    private static class TestFileTypeHelper extends FileTypeHelper {
        private String[] types = new String[0];

        @Override
        public String[] getTypes() {
            return types;
        }

        public void setTypes(String[] types) {
            this.types = types;
        }
    }

    private static class TestFessConfig extends FessConfig.SimpleImpl {

 * <i>type</i> offering meaningful behavioral guarantees. This is substantially different from the
 * case of (say) {@link HashSet}, which is an <i>implementation</i>, with semantics that were
 * largely defined by its supertype.
 *
 * <p>For field types and method return types, you should generally use the immutable type (such as

```JSON
{"item_id":"foo"}
```

## Path parameters with types { #path-parameters-with-types }

You can declare the type of a path parameter in the function, using standard Python type annotations:

{* ../../docs_src/path_params/tutorial002.py hl[7] *}

In this case, `item_id` is declared to be an `int`.

/// check

  private static <T> void setImplementation(Class<T> type, Class<? extends T> implementation) {
    checkArgument(type != implementation, "Don't register %s to itself!", type);
    checkArgument(
        !DEFAULTS.containsKey(type), "A default value was already registered for %s", type);
    checkArgument(
        implementations.put(type, implementation) == null,
        "Implementation for %s was already registered",