__path__.append(_tf_api_dir)

# Hook external TensorFlow modules.

# 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 v2/3.
_tf_uses_legacy_keras = (

set maven.installation.conf default ${maven.conf}

[plexus.core]
load       ${maven.conf}/logging
optionally ${maven.home}/lib/ext/redisson/*.jar
optionally ${maven.home}/lib/ext/hazelcast/*.jar
optionally ${user.home}/.m2/ext/*.jar
optionally ${maven.home}/lib/ext/*.jar
load       ${maven.home}/lib/maven-*.jar

func (t *testLogger) IsOnline(ctx context.Context) bool {
	return t.current.Load() != nil
}

func (t *testLogger) Cancel() {
	t.current.Store(nil)
}

func (t *testLogger) Send(ctx context.Context, entry interface{}) error {
	tb := t.current.Load()
	var logf func(format string, args ...any)
	if tb != nil {
		tbb := *tb
		tbb.Helper()
		switch t.action.Load() {
		case errorMessage:
			logf = tbb.Errorf

load(
    "//tensorflow:tensorflow.bzl",
    "tf_cc_test",
)
load("//tensorflow:tensorflow.default.bzl", "filegroup")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Currently pybind extension shared objects must use only C API headers since

			b.Run("UpdateObjectVersion", func(b *testing.B) {
				b.SetBytes(int64(size))
				b.ResetTimer()
				b.ReportAllocs()
				for i := 0; i < b.N; i++ {
					// Load...
					xl = xlMetaV2{}
					err := xl.Load(enc)
					if err != nil {
						b.Fatal(err)
					}
					// Update modtime for resorting...
					fi.ModTime = fi.ModTime.Add(-time.Second)
					// Update a random version.

func (b *BucketMetadata) SetCreatedAt(createdAt time.Time) {
	if b.Created.IsZero() {
		b.Created = UTCNow()
	}
	if !createdAt.IsZero() {
		b.Created = createdAt.UTC()
	}
}

// Load - loads the metadata of bucket by name from ObjectLayer api.
// If an error is returned the returned metadata will be default initialized.
func readBucketMetadata(ctx context.Context, api ObjectLayer, name string) (BucketMetadata, error) {

        }
    }

    /**
     * Load the <code>Config</code> with properties from the stream
     * <code>in</code> from a <code>Properties</code> file.
     */

    public static void load( InputStream in ) throws IOException {
        if( in != null ) {
            prp.load( in );
        }
        try {

# 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 = (

    final AtomicInteger count = new AtomicInteger();
    final Exception e = new IllegalStateException("exception to trigger failure on first load()");
    CacheLoader<Integer, String> failOnceFunction =
        new CacheLoader<Integer, String>() {

          @Override
          public String load(Integer key) throws Exception {
            if (count.getAndIncrement() == 0) {
              throw e;
            }

@ElementTypesAreNonnullByDefault
final class LittleEndianByteArray {

  /** The instance that actually does the work; delegates to Unsafe or a pure-Java fallback. */
  private static final LittleEndianBytes byteArray;

  /**
   * Load 8 bytes into long in a little endian manner, from the substring between position and
   * position + 8. The array must have at least 8 bytes from offset (inclusive).
   *
   * @param input the input bytes