# Release 2.16.1

## TensorFlow

*   TensorFlow Windows Build:

    *   Clang is now the default compiler to build TensorFlow CPU wheels on the
        Windows Platform starting with this release. The currently supported
        version is LLVM/clang 17. The official Wheels-published on PyPI will be
        based on Clang; however, users retain the option to build wheels using
        the MSVC compiler following the steps mentioned in

        .protocols(ONLY_HTTP1)
        .build()
    val request =
      originalRequest.newBuilder()
        .header("Upgrade", "websocket")
        .header("Connection", "Upgrade")
        .header("Sec-WebSocket-Key", key)
        .header("Sec-WebSocket-Version", "13")
        .header("Sec-WebSocket-Extensions", "permessage-deflate")
        .build()
    call = RealCall(webSocketClient, request, forWebSocket = true)

      estimatedSize = LongMath.saturatedAdd(estimatedSize, splitr.estimateSize());
    }
    return StreamSupport.stream(
            CollectSpliterators.flatMap(
                splitrsBuilder.build().spliterator(),
                splitr -> (Spliterator<T>) splitr,
                characteristics,
                estimatedSize),
            isParallel)
        .onClose(() -> closeAll(streams));
  }

        <skip implementation="boolean" default-value="false">${remoteresources.skip}</skip>
        <outputDirectory implementation="java.io.File">${project.build.directory}/maven-shared-archive-resources</outputDirectory>
        <excludeArtifactIds implementation="java.lang.String" default-value="">${excludeArtifactIds}</excludeArtifactIds>

            logger.debug("Initialize {}", this.getClass().getSimpleName());
        }
        crawlingConfigCache = CacheBuilder.newBuilder().maximumSize(100).expireAfterWrite(10, TimeUnit.MINUTES).build();
    }

    public ConfigType getConfigType(final String configId) {
        if (configId == null || configId.length() < 2) {
            return null;
        }

            }
            String u = url;
            for (int i = 0; i < maxRedirectCount; i++) {
                try (final ResponseData responseData = client.execute(RequestDataBuilder.newRequestData().get().url(u).build())) {
                    if (StringUtil.isNotBlank(responseData.getRedirectLocation())) {
                        u = responseData.getRedirectLocation();
                        continue;
                    }

          .put(4, 0xc5ce47450ca6c021L)
          .put(3, 0x9fcc3c3fde4d5ff7L)
          .put(2, 0x090966a836e5fa4bL)
          .put(1, 0x8199675ecaa6fe64L)
          .put(0, 0x23ad7c904aa665e3L)
          .build();
  private static final HashFunction HASH_FN = Hashing.fingerprint2011();

  // If this test fails, all bets are off
  public void testReallySimpleFingerprints() {

     * This will trigger a warning when a user tries to use a Mojo marked as deprecated.
     */
    private String deprecated;

    /**
     * Flags this Mojo to run it in a multi-module way, i.e. aggregate the build with the set of projects listed as
     * modules. By default, no need to aggregate the Maven project and its child modules
     */
    private boolean aggregator = false;

            builder.allRecordCount(allRecordCount);
            if (allRecordCount < 10000) {
                builder.allRecordCountRelation(Relation.EQUAL_TO.toString());
            }
            return builder.build();
        }
    }

    static class TestSubSearcher extends RankFusionSearcher {

        private int mainSize;
        private int inSize;
        private int outSize;

 * create an instance of one of the built-in implementations of {@code Graph}, use the {@link
 * GraphBuilder} class:
 *
 * <pre>{@code
 * MutableGraph<Integer> graph = GraphBuilder.undirected().build();
 * }</pre>
 *
 * <p>{@link GraphBuilder#build()} returns an instance of {@link MutableGraph}, which is a subtype
 * of {@code Graph} that provides methods for adding and removing nodes and edges. If you do not