# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

# Temporary envs file while we migrate to the new docker image.
# Once the migration is complete, this file will be removed.
source ci/official/envs/linux_x86
TFCI_DOCKER_IMAGE=us-central1-docker.pkg.dev/tensorflow-sigs/tensorflow/ml-build:latest

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

# Temporary envs file while we migrate to the new docker image.
# Once the migration is complete, this file will be removed.
source ci/official/envs/linux_x86_build
TFCI_BAZEL_COMMON_ARGS="--repo_env=HERMETIC_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux"

- Improve upgrade experience: users should be able to gradually roll upgrades, with proper
canary deployments for Istio components. It should be possible to deploy a new version while keeping the
stable version in place and gradually migrate apps to the new version.

- More flexibility: the new installer allows multiple 'environments', allowing applications to select
a set of control plane settings and components. While the entire mesh respects the same APIs and config,

It was deprecated from Starlette, but if you have code that used it, you can easily **migrate** to <a href="https://github.com/ciscorn/starlette-graphene3" class="external-link" target="_blank">starlette-graphene3</a>, that covers the same use case and has an **almost identical interface**.

/// tip

     * during metadata retrieval.
     */
    int VALIDATION_LEVEL_MINIMAL = 0;

    /**
     * Denotes validation as performed by Maven 2.0. This validation level is meant as a compatibility mode to allow
     * users to migrate their projects.
     */
    int VALIDATION_LEVEL_MAVEN_2_0 = 20;

    /**
     * Denotes validation as performed by Maven 3.0. This validation level is meant for existing projects.
     */

So, you would be able to, for example, share the same data from a Django application in a database with a FastAPI application. Or gradually migrate a Django application using the same database.

And your users would be able to login from your Django app or from your **FastAPI** app, at the same time.

///

## Hash and verify the passwords

  config migrate" command. For both commands unknown APIs or fields will throw errors. ([#118013](https://github.com/kubernetes/kubernetes/pull/118013), [@neolit123](https://github.com/neolit123))

   * this reason.
   *
   * <p><b>Java 8+ users:</b> many use cases for this method are better addressed by {@link
   * java.util.stream.Stream#map}. This method is not being deprecated, but we gently encourage you
   * to migrate to streams.
   */
  public static <F extends @Nullable Object, T extends @Nullable Object> List<T> transform(
      List<F> fromList, Function<? super F, ? extends T> function) {
    return (fromList instanceof RandomAccess)

	retryCtx, cancel := context.WithCancel(ctx)

	// Indicate to our routine to exit cleanly upon return.
	defer cancel()

	r := rand.New(rand.NewSource(time.Now().UnixNano()))

	// Migrate storage format if needed.
	for {
		// Migrate IAM configuration, if necessary.
		if err := saveIAMFormat(retryCtx, sys.store); err != nil {
			if configRetriableErrors(err) {
				retryInterval := time.Duration(r.Float64() * float64(time.Second))

	data, err := readFile(filename)
	if err != nil {
		return nil, err
	}
	return setupClustersEnvoyConfigWriter(data, out)
}

// TODO(fisherxu): migrate this to config dump when implemented in Envoy
// Issue to track -> https://github.com/envoyproxy/envoy/issues/3362
func setupClustersEnvoyConfigWriter(debug []byte, out io.Writer) (*clusters.ConfigWriter, error) {