List<Entry<Object, Object>> warmed = warmUp(cache);
      for (int i = WARMUP_MIN; i < WARMUP_MAX; i++) {
        Entry<Object, Object> entry = warmed.get(i - WARMUP_MIN);
        Object newValue = new Object();
        assertSame(entry.getValue(), cache.asMap().put(entry.getKey(), newValue));
        // don't let the new entry get GCed
        warmed.add(entryOf(entry.getKey(), newValue));

 *  * [onHeaders] (unless canceled)
 *  * [onData] (optional sequence of data frames)
 *
 * As a stream ID is scoped to a single HTTP/2 connection, implementations which target multiple
 * connections should expect repetition of stream IDs.
 *
 * Return true to request cancellation of a pushed stream.  Note that this does not guarantee
 * future frames won't arrive on the stream ID.
 */
interface PushObserver {
  /**

}

// TraceObjName returns name of object being traced
func (td ObjectToDelete) TraceObjName() string {
	return td.ObjectName
}

// TraceVersionID returns version-id of object being traced
func (td ObjectToDelete) TraceVersionID() string {
	return td.VersionID
}

// TraceObjName returns name of object being traced
func (oi ObjectInfo) TraceObjName() string {
	return oi.Name
}

TensorFlow process effectively executes arbitrary code.

The risk of loading untrusted checkpoints depends on the code or graph that you
are working with. When loading untrusted checkpoints, the values of the traced
variables from your model are also going to be untrusted. That means that if
your code interacts with the filesystem, network, etc. and uses checkpointed
variables as part of those interactions (ex: using a string variable to build a

    attributes {
        attribute(Usage.USAGE_ATTRIBUTE, objects.named(Usage.JAVA_RUNTIME))
        attribute(Category.CATEGORY_ATTRIBUTE, objects.named(Category.LIBRARY))
        attribute(LibraryElements.LIBRARY_ELEMENTS_ATTRIBUTE, objects.named("gradle-local-repository"))
        attribute(Bundling.BUNDLING_ATTRIBUTE, objects.named(Bundling.EMBEDDED))
    }
    isCanBeResolved = false
    isCanBeConsumed = true

	ReplicatedSize int64 `json:"completedReplicationSize"`
	// Total Replica size in bytes
	ReplicaSize int64 `json:"replicaSize"`
	// Total failed operations including metadata updates for various time frames
	Failed madmin.TimedErrStats `json:"failed"`

	// Total number of completed operations
	ReplicatedCount int64 `json:"replicationCount"`
	// Total number of replica received
	ReplicaCount int64 `json:"replicaCount"`

                  protected Set<String> create(String[] elements) {
                    return Sets.union(Sets.<String>newHashSet(), Sets.<String>newHashSet());
                  }
                })
            .named("empty U empty")
            .withFeatures(
                CollectionSize.ZERO, CollectionFeature.NONE, CollectionFeature.ALLOWS_NULL_VALUES)
            .createTestSuite());

    suite.addTest(

     * to the <code>OutputStream</code> associated with this Named
     * Pipe instance although this is not a requirement (e.g. a
     * read-only named pipe would write data to this stream on
     * connection). Reading from this stream may block. Therefore it
     * may be necessary that an addition thread be used to read and
     * write to a Named Pipe.
     */

		t.Errorf("failed to update with named arg")
	}

	AssertEqual(t, result4, namedUser)

	if err := DB.Exec("UPDATE named_users SET name1 = @name, name2 = @name2, name3 = @name", sql.Named("name", "jinzhu-new"), sql.Named("name2", "jinzhu-new2")).Error; err != nil {

                Map<String, String> map = populate(new HashMap<String, String>(), entries);
                return Collections.checkedMap(map, String.class, String.class);
              }
            })
        .named("checkedMap/HashMap")
        .withFeatures(
            MapFeature.GENERAL_PURPOSE,
            MapFeature.ALLOWS_NULL_KEYS,
            MapFeature.ALLOWS_NULL_VALUES,
            MapFeature.ALLOWS_ANY_NULL_QUERIES,