*/
    public Enumeration<?> propertyNames() {
        return Collections.enumeration(storage.keySet());
    }

    /**
     * Calls the map method put. Provided for parallelism with the getProperty method.
     * Enforces use of strings for property keys and values. The value returned is the result of the map call to put.
     *
     * @param key the key to be placed into this property list.

     */
    public Enumeration<?> propertyNames() {
        return Collections.enumeration(storage.keySet());
    }

    /**
     * Calls the map method put. Provided for parallelism with the getProperty method.
     * Enforces use of strings for property keys and values. The value returned is the result of the map call to put.
     *
     * @param key the key to be placed into this property list.

    BlockingQueue<Future<T>> futureQueue = Queues.newLinkedBlockingQueue();
    long timeoutNanos = unit.toNanos(timeout);

    // For efficiency, especially in executors with limited
    // parallelism, check to see if previously submitted tasks are
    // done before submitting more of them. This interleaving
    // plus the exception mechanics account for messiness of main
    // loop.

    try {

- API validation relaxed allowing Indexed Jobs to be scaled up/down by changing parallelism and completions in tandem, such that parallelism == completions. ([#115236](https://github.com/kubernetes/kubernetes/pull/115236), [@danielvegamyhre](https://github.com/danielvegamyhre)) [SIG Apps and Testing]

        if (localRepositoryPath != null) {
            request.setLocalRepositoryPath(localRepositoryPath);
        }

        //
        // Builder, concurrency and parallelism
        //
        // We preserve the existing methods for builder selection which is to look for various inputs in the threading

  
  to package `k8s.io/kube-scheduler/framework`. Users should update import paths. The interfaces don't change.
  

      converts them into `NoOp`s instead.

*   `tf.data`

    * `tf.data` now has an `autotune_options.initial_parallelism` option to
      control the initial parallelism setting used by autotune before the data
      pipeline has started running. The default is 16. A lower value reduces
      initial memory usage, while a higher value improves startup time.

## Keras

- Fixed panic in Job controller when `podRecreationPolicy: Failed` is used, and the number of terminating pods exceeds parallelism. ([#121147](https://github.com/kubernetes/kubernetes/pull/121147), [@kannon92](https://github.com/kannon92))

- Failed pods associated with a job with `parallelism = 1` are recreated by the job controller honoring exponential backoff delay again. However, for jobs with `parallelism > 1`, pods might be created without exponential backoff delay. ([#115020](https://github.com/kubernetes/kubernetes/pull/115020), [@nikhita](https://github.com/nikhita)) [SIG Apps]

- Failed pods associated with a job with `parallelism = 1` are recreated by the job controller honoring exponential backoff delay again. However, for jobs with `parallelism > 1`, pods might be created without exponential backoff delay. ([#115022](https://github.com/kubernetes/kubernetes/pull/115022), [@nikhita](https://github.com/nikhita)) [SIG Apps]