# lazy loading.
_current_module.compat.v2  # pylint: disable=pointless-statement

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
    _os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "1"):
  import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (

    }

    public void test_load_returnValue() {
        int result = labelTypeHelper.load();
        assertEquals(2, result); // Based on mock data
    }

    public void test_getMatchedLabelValueSet_multipleMatches() {
        // Load some test data first
        labelTypeHelper.load();

        Set<String> result = labelTypeHelper.getMatchedLabelValueSet("/test/path");
        assertNotNull(result);

   * in a single load operation.
   */
  public double missRate() {
    long requestCount = requestCount();
    return (requestCount == 0) ? 0.0 : (double) missCount / requestCount;
  }

  /**
   * Returns the total number of times that {@link Cache} lookup methods attempted to load new
   * values. This includes both successful load operations and those that threw exceptions. This is

	var schemaCacheKey interface{} = modelType
	if specialTableName != "" {
		schemaCacheKey = fmt.Sprintf("%p-%s", modelType, specialTableName)
	}

	// Load exist schema cache, return if exists
	if v, ok := cacheStore.Load(schemaCacheKey); ok {
		s := v.(*Schema)
		// Wait for the initialization of other goroutines to complete
		<-s.initialized
		return s, s.err
	}

	var tableName string

        File pom0 = new File(localRepo, "p0/pom.xml");
        File pom0Basedir = pom0.getParentFile();
        File pom1 = new File(pom0Basedir, "modules/p1/pom.xml");

        // load the child project, which inherits from p0...
        MavenProject project0 = getProject(pom0);
        MavenProject project1 = getProject(pom1);

pkg sync/atomic, method (*Bool) Load() bool #50860
pkg sync/atomic, method (*Bool) Store(bool) #50860
pkg sync/atomic, method (*Bool) Swap(bool) bool #50860
pkg sync/atomic, method (*Int32) Add(int32) int32 #50860
pkg sync/atomic, method (*Int32) CompareAndSwap(int32, int32) bool #50860
pkg sync/atomic, method (*Int32) Load() int32 #50860
pkg sync/atomic, method (*Int32) Store(int32) #50860

    AtomicInteger loadAllCount = new AtomicInteger();

    CacheLoader<Object, Object> baseLoader =
        new CacheLoader<Object, Object>() {
          @Override
          public Object load(Object key) {
            loadCount.incrementAndGet();
            return new Object();
          }

          @Override
          public ListenableFuture<Object> reload(Object key, Object oldValue) {

   *
   * <ul>
   *   <li>{@linkplain LoadingCache#get(Object) awaiting the result of a pending load} rather than
   *       starting a redundant one
   *   <li>eliminating the error-prone caching boilerplate
   *   <li>tracking load {@linkplain #stats statistics}
   * </ul>
   *
   * <p>Among the further improvements that {@code LoadingCache} can provide but this method cannot:
   *

   * can hold setSize elements with the desired load factor.
   */
  @VisibleForTesting
  static int chooseTableSize(int setSize) {
    if (setSize == 1) {
      return 2;
    }
    // Correct the size for open addressing to match desired load factor.
    // Round up to the next highest power of 2.
    int tableSize = Integer.highestOneBit(setSize - 1) << 1;

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

load("@python//:defs.bzl", "compile_pip_requirements")
load("@python_version_repo//:py_version.bzl", "REQUIREMENTS")

# TODO(ybaturina): Remove once TF is migrated to CUDA 12.9.
genrule(
    name = "nvidia_constraints",