TF_DeleteStatus);

  TF_Operation* feed = Placeholder(func_graph.get(), s.get());
  TF_Operation* neg = Neg(feed, func_graph.get(), s.get());

  TF_Output inputs[] = {{feed, 0}};
  TF_Output outputs[] = {{neg, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name, append_hash, -1,

   * response to a sender.
   *
   * @since 8.0
   */
  public static final byte ACK = 6;

  /**
   * Bell ('\a'): A character for use when there is a need to call for human attention. It may
   * control alarm or attention devices.
   *
   * @since 8.0
   */
  public static final byte BEL = 7;

  /**

## Расширенное описание из docstring { #advanced-description-from-docstring }

Вы можете ограничить количество строк из docstring *функции-обработчика пути*, используемых для OpenAPI.

Добавление `\f` (экранированного символа «form feed») заставит **FastAPI** обрезать текст, используемый для OpenAPI, в этой точке.

Эта часть не попадёт в документацию, но другие инструменты (например, Sphinx) смогут использовать остальное.

 *
 * <p>Hasher accepts primitive data types, but can also accept any Object of type {@code T} provided
 * that you implement a {@link Funnel}{@code <T>} to specify how to "feed" data from that object
 * into the function. (See {@linkplain Hasher#putObject an example} of this.)
 *
 * <p><b>Compatibility note:</b> Throughout this API, multibyte values are always interpreted in

 *
 * <p>Hasher accepts primitive data types, but can also accept any Object of type {@code T} provided
 * that you implement a {@link Funnel}{@code <T>} to specify how to "feed" data from that object
 * into the function. (See {@linkplain Hasher#putObject an example} of this.)
 *
 * <p><b>Compatibility note:</b> Throughout this API, multibyte values are always interpreted in

    def handle_data(self, data):
        self.text_parts.append(data)

    def extract_visible_text(self, html: str) -> str:
        self.reset()
        self.text_parts = []
        self.feed(html)
        return "".join(self.text_parts).strip()


def slugify(text: str) -> str:
    return py_slugify(
        text,
        replacements=[
            ("`", ""),  # `dict`s -> dicts

  TF_Operation* op;
  Split3Helper(input, graph, s, name, &op);
  return op;
}

bool IsPlaceholder(const tensorflow::NodeDef& node_def) {
  if (node_def.op() != "Placeholder" || node_def.name() != "feed") {
    return false;
  }
  bool found_dtype = false;
  bool found_shape = false;
  for (const auto& attr : node_def.attr()) {
    if (attr.first == "dtype") {

 *       {@code Number}, and primitive varargs are supported.
 *   <li>Or, to avoid storing up all the data first, create a {@link StatsAccumulator} instance,
 *       feed values to it as you get them, then call {@link StatsAccumulator#snapshot}.
 * </ul>
 *
 * <p>Static convenience methods called {@code meanOf} are also provided for users who wish to
 * calculate <i>only</i> the mean.
 *

    hashFunctions[0] = Murmur3_128HashFunction.GOOD_FAST_HASH_128;
    int seed = GOOD_FAST_HASH_SEED;
    for (int i = 1; i < hashFunctionsNeeded; i++) {
      seed += 1500450271; // a prime; shouldn't matter
      hashFunctions[i] = murmur3_128(seed);
    }
    return new ConcatenatedHashFunction(hashFunctions);
  }

  /**

        SessionScope sessionScope = getContainer().lookup(SessionScope.class);
        sessionScope.enter();
        sessionScope.seed(MavenSession.class, mSession);
        sessionScope.seed(Session.class, iSession);
        sessionScope.seed(InternalMavenSession.class, InternalMavenSession.from(iSession));
    }

    protected MavenProject createStubMavenProject() {
        Model model = new Model();