}

    public void test_getOverrideConfPath() {
        // Test when app type is not docker
        OptionalEntity<String> confPath = ResourceUtil.getOverrideConfPath();
        assertNotNull(confPath);
        // Should be empty when not docker app type
        if (!"docker".equalsIgnoreCase(ResourceUtil.getAppType())) {
            assertFalse(confPath.isPresent());
        }
    }

dist: xenial

sudo: required
services:
  - docker

language: java

jdk:
  - openjdk11

cache:
  directories:
    - $HOME/.m2/repository

before_script:
  - java -version

script:

      - master

permissions:
  contents: read
    
jobs:
  build:
    name: runner / shfmt
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: luizm/action-sh-checker@master
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          SHFMT_OPTS: "-s"
        with:

 *
 * <p>Two subscribers are equivalent when they refer to the same method on the same object (not
 * class). This property is used to ensure that no subscriber method is registered more than once.
 *
 * @author Colin Decker
 */
class Subscriber {

  /** Creates a {@code Subscriber} for {@code method} on {@code listener}. */
  static Subscriber create(EventBus bus, Object listener, Method method) {
    return isDeclaredThreadSafe(method)

import com.google.common.collect.Iterators;
import java.util.Iterator;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests for {@link SubscriberRegistry}.
 *
 * @author Colin Decker
 */
@NullUnmarked
public class SubscriberRegistryTest extends TestCase {

  private final SubscriberRegistry registry = new SubscriberRegistry(new EventBus());

  public void testRegister() {

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1

        try {
            int expectedKeyLength = getKeyLength();
            byte[] encKey = getEncryptionKey();
            byte[] decKey = getDecryptionKey();

            try {
                boolean valid =
                        encKey != null && encKey.length == expectedKeyLength && decKey != null && decKey.length == expectedKeyLength;
                return valid;
            } finally {

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines.

## Get started

### 1. Prerequisites

- Docker 18.03 or above, refer here for [installation](https://docs.docker.com/install/).

### 2. Start etcd

etcd uses [gcr.io/etcd-development/etcd](https://console.cloud.google.com/gcr/images/etcd-development/GLOBAL/etcd) as a primary container registry.

```

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

gostaria de fazer um curso avançado-iniciante para complementar essa seção da documentação, você pode querer conferir: <a href="https://testdriven.io/courses/tdd-fastapi/" class="external-link" target="_blank">Test-Driven Development com FastAPI e Docker</a> por **TestDriven.io**.

Eles estão atualmente doando 10% de todos os lucros para o desenvolvimento do **FastAPI**. 🎉 😄...