/**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashMap-based
   * implementation. Experimentally determined.
   */

    /** The key of the message: It may have been processed before this request. Please try again. */
    public static final String ERRORS_APP_DOUBLE_SUBMIT_REQUEST = "{errors.app.double.submit.request}";

    /** The key of the message: Invalid username or password. */
    public static final String ERRORS_login_error = "{errors.login_error}";

  // We use power-of-2 tables, and this is the highest int that's a power of 2
  static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  // Represents how tightly we can pack things, as a maximum.
  private static final double DESIRED_LOAD_FACTOR = 0.7;

  // If the set has this many elements, it will "max out" the table size
  private static final int CUTOFF = (int) (MAX_TABLE_SIZE * DESIRED_LOAD_FACTOR);

  /**

				}
				return nil
			},
			OutCapacity: 1,
			InCapacity:  1,
		}))
	}
	register(local)
	register(remote)
	// Double remote DL
	local.debugMsg(debugAddToDeadline, wantDL)
	defer local.debugMsg(debugAddToDeadline, time.Duration(0))
	remote.debugMsg(debugAddToDeadline, wantDL)
	defer remote.debugMsg(debugAddToDeadline, time.Duration(0))

TEST_P(UnifiedCAPI, TestBasicGraph) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);

  // Start a new function / execution context.
  string fn_name = "double";
  TF_ExecutionContext* graph_ctx =
      TF_CreateFunction(fn_name.c_str(), status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  auto* placeholder_t =

	go f()
	g()
}
</pre>

<p>
it can happen that <code>g</code> prints <code>2</code> and then <code>0</code>.
</p>

<p>
This fact invalidates a few common idioms.
</p>

<p>
Double-checked locking is an attempt to avoid the overhead of synchronization.
For example, the <code>twoprint</code> program might be
incorrectly written as:
</p>

<pre>
var a string
var done bool

    assertThat(numberOrdering.min(a, b)).isSameInstanceAs(a);
  }

  private static class NumberOrdering extends Ordering<Number> {
    @Override
    public int compare(Number a, Number b) {
      return ((Double) a.doubleValue()).compareTo(b.doubleValue());
    }

    @Override
    public int hashCode() {
      return NumberOrdering.class.hashCode();
    }

    @Override

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashMap-based
   * implementation. Experimentally determined.
   */

    assertThat(numberOrdering.min(a, b)).isSameInstanceAs(a);
  }

  private static class NumberOrdering extends Ordering<Number> {
    @Override
    public int compare(Number a, Number b) {
      return ((Double) a.doubleValue()).compareTo(b.doubleValue());
    }

    @Override
    public int hashCode() {
      return NumberOrdering.class.hashCode();
    }

    @Override

                log.debug("Usage dropped to zero, release connection " + this.transport);
            }
            // Ensure atomic cleanup of all resources
            synchronized (this) {
                // Double-check usage count within synchronized block
                if (this.usageCount.get() != 0) {
                    return; // Another thread acquired the session
                }