address, without explicit permission
* Other conduct which could reasonably be considered inappropriate in a
  professional setting

## Our Responsibilities

Project maintainers are responsible for clarifying the standards of acceptable
behavior and are expected to take appropriate and fair corrective action in
response to any instances of unacceptable behavior, in compliance with the
licensing terms applying to the Project developments.

/**
 * Plugin that pre-downloads Android SDK components to prevent race conditions during parallel builds.
 *
 * When multiple Android builds run in parallel and share the same `ANDROID_HOME`, the Android Gradle Plugin
 * may attempt to download and install SDK components (platforms, build-tools, platform-tools) simultaneously.
 * This can cause race conditions leading to:
 * - `FileAlreadyExistsException` when extracting files

 *
 * <p>Subclasses are guaranteed that the life cycle methods ({@link #runOneIteration}, {@link
 * #startUp} and {@link #shutDown}) will never run concurrently. Notably, if any execution of {@link
 * #runOneIteration} takes longer than its schedule defines, then subsequent executions may start
 * late. Also, all life cycle methods are executed with a lock held, so subclasses can safely modify

- Node affinity, Node selectors, and tolerations are now mutable for Jobs that are suspended and have never been started ([#105479](https://github.com/kubernetes/kubernetes/pull/105479), [@ahg-g](https://github.com/ahg-g))

  (three value logic: yes, no, don't-care). The requiresOnline
  field in the mojo descriptor has the following semantics:

  [true] Online status is required for this mojo to function
         correctly.

  [false] <<(Default)>> Either status is acceptable for the mojo to
          execute. It doesn't care.

  The majority of mojos will leave the requiresOnline == false,

   * the output future list. (Such races are impossible to solve without global synchronization of
   * all future completions. And they should have little practical impact.)
   *
   * <p>Cancelling a delegate future propagates to input futures once all the delegates complete,
   * either from cancellation or because an input future has completed. If N futures are passed in,

        run: |
          sudo apt install jq -y
          sudo sysctl net.ipv6.conf.all.disable_ipv6=0
          sudo sysctl net.ipv6.conf.default.disable_ipv6=0
          make
          make test

You could use these tools and ideas if you are setting up **your own deployment system** while taking care of the other deployment concepts yourself.

Provide a reproducible test case that is the bare minimum necessary to generate
the problem. If possible, please share a link to Colab/Jupyter/any notebook.

Also, please include a link to a GraphDef or the model if possible.

**Any other info / logs**

Include any logs or source code that would be helpful to diagnose the problem.
If including tracebacks, please include the full traceback. Large logs and files

        assertTrue("Threads did not complete in time", doneLatch.await(5, TimeUnit.SECONDS));

        // All threads should fail with the same IOException (project ID is blank)
        // But importantly, there should be no race condition errors
        assertEquals(threadCount, failureCount.get());
        assertEquals(0, successCount.get());

        // All exceptions should be about project ID being blank