# to build TensorFlow. Look at ci/official/envs to find which types of jobs
# push to the cache.  For macOS, use --config=tf_public_macos_cache
build:tf_public_cache --remote_cache="https://storage.googleapis.com/tensorflow-devinfra-bazel-cache/january2024" --remote_upload_local_results=false
# Cache pushes are limited to TF's CI system.

		return false
	}
	return !h.endTime.IsZero()
}

// stops the heal sequence - safe to call multiple times.
func (h *healSequence) stop() {
	h.cancelCtx()
}

// pushHealResultItem - pushes a heal result item for consumption in
// the heal-status API. It blocks if there are
// maxUnconsumedHealResultItems. When it blocks, the heal sequence
// routine is effectively paused - this happens when the server has

        id: date
      -
        name: Build containers, and push to GCR only if the 'build and push to gcr.io for staging' label is applied
        id: docker_build
        uses: docker/build-push-action@4f58ea79222b3b9dc2c8bbdd6debcef730109a75 # v6.9.0
        with:
          push: ${{ contains(github.event.pull_request.labels.*.name, 'build and push to gcr.io for staging') }}
          context: ./tensorflow/tools/tf_sig_build_dockerfiles

# Parámetros de Cookie

Puedes definir parámetros de Cookie de la misma manera que defines parámetros de `Query` y `Path`.

## Importar `Cookie`

Primero importa `Cookie`:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[3]*}

## Declarar parámetros de `Cookie`

Luego declara los parámetros de cookie usando la misma estructura que con `Path` y `Query`.

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.
* Add more granular permission controls with OAuth2 scopes where needed.
* ...etc.

# Istio Installer

## WARNING: Do not use the files in this directory to install Istio

This directory contains the helm chart _sources_ which are versioned, built and pushed to following helm
repositories with each Istio release.  If you want to make changes to Istio helm charts, you're in the
right place.

If you want to _install_ Istio with Helm, instead please [follow the Helm installation docs here](https://istio.io/latest/docs/setup/install/helm/).

# that directory.
@test "bazel nobuild passes on all of TF except TF Lite and win toolchains" {
    bazel build --experimental_cc_shared_library --nobuild --keep_going -- //tensorflow/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/win/... -//tensorflow/tools/toolchains/win_1803/...
}

@test "API compatibility test passes, ensuring no unexpected changes to the TF API" {

  }

  private static <E> List<E> list(E... elements) {
    return ImmutableList.copyOf(elements);
  }

  /**
   * Utility method to verify that the given LinkedHashSet is equal to and hashes identically to a
   * set constructed with the elements in the given collection. Also verifies that the ordering in
   * the set is the same as the ordering of the given contents.
   */

If your database is stolen, the thief won't have your users' plaintext passwords, only the hashes.

So, the thief won't be able to try to use that password in another system (as many users use the same password everywhere, this would be dangerous).

## Install `passlib`

PassLib is a great Python package to handle password hashes.

It supports many secure hashing algorithms and utilities to work with them.

        assertEquals("file:////UNC/server", normalize("file:////UNC/server"));
        assertEquals(
                "[fetch=]http://server.org/[push=]ssh://server.org/",
                normalize("[fetch=]http://server.org/[push=]ssh://server.org/"));
    }

    @Test
    void absolutePathTraversalPastRootIsOmitted() {
        assertEquals("/", normalize("/../"));
    }

    @Test