description: Sorted field name
          required: false
          schema:
            type: string
            example: score
        - name: fields.label
          in: query
          description: Filtered label name
          required: false
          style: form
          explode: true
          schema:
            type: array
            items:
              type: string
            example: [name]

    protected String wildcard;
    protected int attributes;

/* This filter can be considerably more efficient than other file filters
 * as the specifed wildcard and attributes are passed to the server for
 * filtering there (although attributes are largely ignored by servers
 * they are filtered locally by the default accept method).
 */
    public DosFileFilter( String wildcard, int attributes ) {

        crawlingInfoParamBhv.queryDelete(cb1 -> cb1.query().filtered((cq, cf) -> {
            cq.matchAll();
            if (!idList.isEmpty()) {
                cf.not(subCf -> subCf.setCrawlingInfoId_InScope(idList));
            }
        }));
        crawlingInfoBhv.queryDelete(cb2 -> cb2.query().filtered((cq, cf) -> {
            cq.matchAll();
            if (!idList.isEmpty()) {

  }

  private TestSuite filterSuite(TestSuite suite) {
    TestSuite filtered = new TestSuite(suite.getName());
    Enumeration<?> tests = suite.tests();
    while (tests.hasMoreElements()) {
      Test test = (Test) tests.nextElement();
      if (matches(test)) {
        filtered.addTest(test);
      }
    }
    return filtered;
  }

                    string(v2_reader_->key()) /* full var's name */,
                    TensorSlice(slice_proto)))
                .second);
    }
  }

  // Second pass: adds the entries, ignoring the filtered keys.
  std::unique_ptr<TensorSliceReader::VarToShapeMap> var_to_shape_map(
      new TensorSliceReader::VarToShapeMap);
  std::unique_ptr<TensorSliceReader::VarToDataTypeMap> var_to_data_type_map(

        }
    }

    public void filtered(FilteredCall<UserInfoCQ, UserInfoCQ> filteredLambda) {
        filtered(filteredLambda, null);
    }

    public void filtered(FilteredCall<UserInfoCQ, UserInfoCQ> filteredLambda, ConditionOptionCall<BoolQueryBuilder> opLambda) {
        bool((must, should, mustNot, filter) -> {
            filteredLambda.callback(must, filter);
        }, opLambda);
    }

    List<String> expected = emptyList();
    List<String> actual = Lists.newArrayList(filtered);
    assertEquals(expected, actual);
  }

  public void testFilterMatchAll() {
    Iterator<String> unfiltered = Lists.newArrayList("foo", "bar").iterator();
    Iterator<String> filtered = filter(unfiltered, Predicates.alwaysTrue());

    DESCENDING;

    @Override
    public Set<Feature<? super @Nullable Void>> getImpliedFeatures() {
      return emptySet();
    }
  }

  /**
   * Creates a suite whose map has some elements filtered out of view.
   *
   * <p>Because the map may be ascending or descending, this test must derive the relative order of
   * these extreme values rather than relying on their regular sort ordering.
   */

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

**FastAPI** will use that *temporal* response to extract the headers (also cookies and status code), and will put them in the final response that contains the value you returned, filtered by any `response_model`.

    final Collection<E> unfiltered;
    final Predicate<? super E> predicate;

    FilteredCollection(Collection<E> unfiltered, Predicate<? super E> predicate) {
      this.unfiltered = unfiltered;
      this.predicate = predicate;
    }

    FilteredCollection<E> createCombined(Predicate<? super E> newPredicate) {
      return new FilteredCollection<>(unfiltered, Predicates.and(predicate, newPredicate));
    }