Sets.filter(
                Sets.powerSet(sampleSet),
                new Predicate<Set<Integer>>() {

                  @Override
                  public boolean apply(Set<Integer> input) {
                    return input.size() == size;
                  }
                });
        assertWithMessage("Sets.combinations(%s, %s)", sampleSet, k)
            .that(Sets.combinations(sampleSet, k))

     * @return the user's home directory path, or null if not set
     */
    @Nullable
    Path userHome();

    /**
     * Returns the input stream to be used for the Maven execution.
     * If not set, System.in will be used by default.
     *
     * @return the input stream, or null if not set
     */
    @Nullable
    InputStream in();

    /**

  Iterator<C> createColumnKeyIterator() {
    Comparator<? super C> comparator = columnComparator();

    Iterator<C> merged =
        mergeSorted(
            transform(backingMap.values(), (Map<C, V> input) -> input.keySet().iterator()),
            comparator);

    return new AbstractIterator<C>() {
      @CheckForNull C lastValue;

      @Override
      @CheckForNull
      protected C computeNext() {

```JSON
{
  "detail": [
    {
      "type": "int_parsing",
      "loc": [
        "path",
        "item_id"
      ],
      "msg": "Input should be a valid integer, unable to parse string as an integer",
      "input": "foo",
      "url": "https://errors.pydantic.dev/2.1/v/int_parsing"
    }
  ]
}
```

Der Pfad-Parameter `item_id` hatte den Wert `"foo"`, was kein `int` ist.

              ],
              "traffic_direction": "INBOUND",
              "internal_listener": {},
              "filter_chain_matcher": {
                "matcher_tree": {
                  "input": {
                    "name": "ip",
                    "typed_config": {
                      "@type": "type.googleapis.com/envoy.extensions.matching.common_inputs.network.v3.DestinationIPInput"
                    }

                {
                    "type": "string_pattern_mismatch",
                    "loc": ["query", "item-query"],
                    "msg": "String should match pattern '^fixedquery$'",
                    "input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

                {
                    "type": "string_pattern_mismatch",
                    "loc": ["query", "item-query"],
                    "msg": "String should match pattern '^fixedquery$'",
                    "input": "nonregexquery",
                    "ctx": {"pattern": "^fixedquery$"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

                                    <div class="col-sm-9">
                                        <la:errors property="attributes.gidNumber"/>
                                        <input type="number" id="attributes.gidNumber" name="attributes.gidNumber" class="form-control"/>
                                    </div>
                                </div>
                            </div>

   * place, or a different list.
   *
   * <p>If the order is non-deterministic, as with {@link java.util.HashSet}, this method can return
   * its input unmodified. Provided that the test suite is built without {@link
   * com.google.common.collect.testing.features.CollectionFeature#KNOWN_ORDER}, the tests will look
   * only at the returned contents without regard for order.
   */

// parallel device creates a parallel tensor `x` with `a` on the first of
// `underlying_devices` and `b` on the second. Running `a_unpacked, b_unpacked =
// TPUReplicatedOutput(input=x, num_replicas=2)` un-packs the parallel tensor
// into its components.
//
// The filled `device` struct and the allocated `device_info` struct may be
// passed to TFE_RegisterCustomDevice. The `device_name` arguments must match.