debugging information with `--config=dbg`, as issues occur on Linux if
there is too much debug info (see [this GitHub
issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If
you want to debug a kernel, you can compile specific files with `-g` using the
`--per_file_copt` bazel option. For example, if you want to debug the Identity
op, which are in files starting with `identity_op`, you can run

```bash

   * iterators that don't support remove, passing one to the FilteredEntryMultimap constructor would
   * lead to a multimap whose removal operations would fail. This method combines the predicates to
   * avoid that problem.
   */
  private static <K extends @Nullable Object, V extends @Nullable Object>
      Multimap<K, V> filterFiltered(

   * declaration of a method with the same name and formal parameters as {@link Object#equals} that
   * is not public and boolean-returning, or that declares any type parameters, would be rejected at
   * compile-time.
   */
  private static boolean isEquals(Member member) {
    if (!(member instanceof Method)) {
      return false;
    }
    Method method = (Method) member;

  private static final int TO_BYTE_ARRAY_DEQUE_SIZE = 20;

  /**
   * Returns a byte array containing the bytes from the buffers already in {@code bufs} (which have
   * a total combined length of {@code totalLen} bytes) followed by all bytes remaining in the given
   * input stream.
   */
  private static byte[] toByteArrayInternal(InputStream in, Queue<byte[]> bufs, int totalLen)
      throws IOException {

## Version 2.2.0

_2014-12-30_

 *  **`RequestBody.contentLength()` now throws `IOException`.**
    This is a source-incompatible change. If you have code that calls
    `RequestBody.contentLength()`, your compile will break with this
    update. The change is binary-compatible, however: code compiled
    for OkHttp 2.0 and 2.1 will continue to work with this update.

  }

  @Generates
  Comparable<?> generateComparable() {
    return generateString();
  }

  @Generates
  Pattern generatePattern() {
    return Pattern.compile(generateString());
  }

  @Generates
  Charset generateCharset() {
    return pickInstance(Charset.availableCharsets().values(), UTF_8);
  }

  @Generates
  Locale generateLocale() {

#
# This file is autogenerated by pip-compile with Python 3.13
# by the following command:
#
#    bazel run //ci/official/requirements_updater:requirements.update
#
absl-py==2.3.0 \
    --hash=sha256:9824a48b654a306168f63e0d97714665f8490b8d89ec7bf2efc24bf67cf579b3 \
    --hash=sha256:d96fda5c884f1b22178852f30ffa85766d50b99e00775ea626c23304f582fc4f
    # via
    #   keras-nightly
    #   tb-nightly
astor==0.7.1 \

Dada la simplicidad de Flask, parecía una buena opción para construir APIs. Lo siguiente a encontrar era un "Django REST Framework" para Flask.

/// check | Inspiró a **FastAPI** a

Ser un micro-framework. Haciendo fácil mezclar y combinar las herramientas y partes necesarias.

Tener un sistema de routing simple y fácil de usar.

///

### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a> { #requests }

/// check | **FastAPI** inspirado para

Ser um microframework. Tornar fácil misturar e combinar as ferramentas e partes necessárias.

Ter um sistema de roteamento simples e fácil de usar.

///

### <a href="https://requests.readthedocs.io" class="external-link" target="_blank">Requests</a> { #requests }

* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.

Usando una imagen de contenedor pre-hecha es muy fácil **combinar** y utilizar diferentes herramientas. Por ejemplo, para probar una nueva base de datos. En la mayoría de los casos, puedes usar las **imágenes oficiales**, y simplemente configurarlas con variables de entorno.