## 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.

   * The caller is responsible for <a
   * href="https://html.spec.whatwg.org/multipage/form-control-infrastructure.html#multipart-form-data">replacing
   * any unpaired carriage return or line feed characters with a CR+LF pair</a> on any non-file
   * inputs before escaping them with this escaper.
   *
   * <p>When escaping a String, the following rules apply:
   *
   * <ul>

    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

 *
 * <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

  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") {

    const TF_Operation* const* target_opers, int ntargets,
    // RunMetadata
    TF_Buffer* run_metadata,
    // Output status
    TF_Status*);

// Set up the graph with the intended feeds (inputs) and fetches (outputs) for a
// sequence of partial run calls.
//
// On success, returns a handle that is used for subsequent PRun calls. The

 *       {@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.
 *

        self.dependencies = list(dependencies or [])
        self.description = description or inspect.cleandoc(self.endpoint.__doc__ or "")
        # if a "form feed" character (page break) is found in the description text,
        # truncate description text to the content preceding the first "form feed"
        self.description = self.description.split("\f")[0].strip()
        response_fields = {}

Thread { private java.io.InputStream input; private java.io.OutputStream output; private boolean done; public void StreamFeeder(java.io.InputStream, java.io.OutputStream); public void run(); public void close(); public boolean isDone(); private void feed() throws java.io.IOException; } org/codehaus/plexus/util/cli/StreamPumper.class package org.codehaus.plexus.util.cli; public synchronized class StreamPumper extends Thread { private java.io.BufferedReader in; private StreamConsumer consumer; private...