TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a

@GwtIncompatible
@J2ktIncompatible
@J2ObjCIncompatible // gc
@ElementTypesAreNonnullByDefault
public final class GcFinalization {
  private GcFinalization() {}

  /**
   * 10 seconds ought to be long enough for any object to be GC'ed and finalized. Unless we have a
   * gigantic heap, in which case we scale by heap size.
   */
  private static long timeoutSeconds() {

                        throw ie;
                    }
                }
                else {
                    // not enough credits available or too big, split
                    if ( log.isDebugEnabled() ) {
                        log.debug("Not enough credits, split at " + last);
                    }
                    synchronized ( last ) {
                        nextHead = last.split();

   * size to reach 0, causing an infinite loop.
   */
  public void testCopyWithReaderThatDoesNotFillBuffer() throws IOException {
    // need a long enough string for the buffer to hit 0 remaining before the copy completes
    String string = Strings.repeat("0123456789", 100);
    StringBuilder b = new StringBuilder();

   * size to reach 0, causing an infinite loop.
   */
  public void testCopyWithReaderThatDoesNotFillBuffer() throws IOException {
    // need a long enough string for the buffer to hit 0 remaining before the copy completes
    String string = Strings.repeat("0123456789", 100);
    StringBuilder b = new StringBuilder();

  // It is entirely possible to get an error and be able to continue determine authorization status in spite of it.
  // For instance, RBAC can be missing a role, but enough roles are still present and bound to reason about the request.
  // +optional
  optional string evaluationError = 3;
}

 * `Function<@Nullable A, @Nullable B>` already had to find a workaround. Still, there is a *ton* of
 * fallout from trying to switch. I would be shocked if the switch would offer benefits to anywhere
 * near enough users to justify the costs.
 *
 * Fortunately, if anyone does want to use a Converter as a `Function<@Nullable A, @Nullable B>`,
 * it's easy to get one: `converter::convert`.
 *

   *
   * <p>Note that {@code toArray(new Object[0])} is identical in function to {@code toArray()}.
   *
   * @param a the array into which the elements of the queue are to be stored, if it is big enough;
   *     otherwise, a new array of the same runtime type is allocated for this purpose
   * @return an array containing all of the elements in this queue

    }

    @Override
    public Multiset<K> create(Object... elements) {
      /*
       * This is nasty and complicated, but it's the only way to make sure keys get mapped to enough
       * distinct values.
       */
      Entry<?, ?>[] entries = new Entry<?, ?>[elements.length];
      Map<K, Iterator<V>> valueIterators = new HashMap<>();
      for (int i = 0; i < elements.length; i++) {

   * _last_ request, but it remembers the (expected) time of the _next_ request. This also enables
   * us to tell immediately (see tryAcquire(timeout)) whether a particular timeout is enough to get
   * us to the point of the next scheduling time, since we always maintain that. And what we mean by
   * "an unused RateLimiter" is also defined by that notion: when we observe that the