#      Ex. versions_upload -- for TF official release versions
#      Ex. nightly_upload -- for TF nightly official builds; changes version numbers
#      Ex. no_upload      -- Disable all uploads, usually for temporary CI issues

# Recommended: use a local+remote cache.
#
#   Bazel will cache your builds in tensorflow/build_output/cache,
#   and will also try using public build cache results to speed up

                // see https://github.com/siom79/japicmp/issues/289
                // "Method com.example.TaskInterface.getIsFailOnError(): Is not binary compatible. Reason for accepting this: Upgraded property" to listOf("Method now provides default implementation"),

     * (We promoted a class of warnings into errors because sometimes they indicate real problems.
     * But now we need to "undo" some instance of spurious errors, as discussed in
     * https://github.com/jspecify/checker-framework/issues/8.)
     */
    return removedValue == null ? null : (V) removedValue;
  }

  @Override
  public void addPredecessor(N node, V unused) {
    Object previousValue = adjacentNodeValues.put(node, PRED);

- [v1.12.0](#v1120)
  - [Downloads for v1.12.0](#downloads-for-v1120)
    - [Client Binaries](#client-binaries-10)
    - [Server Binaries](#server-binaries-10)
    - [Node Binaries](#node-binaries-10)
  - [Known Issues](#known-issues)
  - [Major Themes](#major-themes)
    - [SIG API Machinery](#sig-api-machinery)
    - [SIG-autoscaling](#sig-autoscaling)
    - [SIG-Azure](#sig-azure)
    - [SIG-cli](#sig-cli)

        try (AuthenticationRateLimiter autoLimiter = new AuthenticationRateLimiter()) {
            assertTrue(autoLimiter.checkAttempt("user", "192.168.1.13"));
        }
        // Should auto-close without issues
    }

                        .addException(
                                new Exception("Build failed due to log statements with a higher severity than allowed. "
                                        + "Fix the logged issues or remove flag --fail-on-severity (-fos)."));
            }

            logResult(event.getSession());

            logStats(event.getSession());

            infoLine('-');
        }
    }

      delegate.shutdown();
    }

    @Override
    public final List<Runnable> shutdownNow() {
      return delegate.shutdownNow();
    }

    /*
     * TODO: https://github.com/google/guava/issues/2143 - In addition to overriding `execute`, also
     * override the `Future`-returning methods of `ExecutorService` to propagate cancellation from

          // but it would help with some of these lock ordering issues.
          scheduleFailure = e;
          toReturn = new FutureAsCancellable(immediateCancelledFuture());
        } finally {
          lock.unlock();
        }
        // Call notifyFailed outside the lock to avoid lock ordering issues.
        if (scheduleFailure != null) {
          service.notifyFailed(scheduleFailure);

#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "Creating while loops is not supported on mobile. File a bug at "
      "https://github.com/tensorflow/tensorflow/issues if this feature is "
      "important to you");
  return EmptyWhileParams();
#else
  if (ninputs == 0) {
    status->status =
        InvalidArgument("TF_NewWhile() must be passed at least one input");

   * sized appropriately to hold {@code expectedSize} elements.
   */
  @SuppressWarnings("rawtypes") // https://github.com/google/guava/issues/989
  public static Builder<Comparable> expectedSize(int expectedSize) {
    return new Builder<Comparable>(Ordering.natural()).expectedSize(expectedSize);
  }

  /**