* Returns a hash function implementing the <a
   * href="https://github.com/aappleby/smhasher/blob/master/src/MurmurHash3.cpp">128-bit murmur3
   * algorithm, x64 variant</a> (little-endian variant), using the given seed value.
   *
   * <p>The exact C++ equivalent is the MurmurHash3_x64_128 function (Murmur3F).
   */
  public static HashFunction murmur3_128(int seed) {
    return new Murmur3_128HashFunction(seed);
  }

  /**

FESS_GROUP=${packaging.fess.group}

# The first existing directory is used for JAVA_HOME (if JAVA_HOME is not defined in $DEFAULT)
JDK_DIRS="/usr/lib/jvm/java-8-oracle/ /usr/lib/jvm/j2sdk1.8-oracle/ /usr/lib/jvm/jdk-7-oracle-x64 /usr/lib/jvm/java-7-oracle /usr/lib/jvm/j2sdk1.7-oracle/ /usr/lib/jvm/java-7-openjdk /usr/lib/jvm/java-7-openjdk-amd64/ /usr/lib/jvm/java-7-openjdk-armhf /usr/lib/jvm/java-7-openjdk-i386/ /usr/lib/jvm/default-java"

      - name: Run Checks
        run: ./gradlew test -Dtest.java.version=8 -Dokhttp.platform=jdk8alpn -Dalpn.boot.version=8.1.13.v20181017 -Dorg.gradle.java.installations.paths=/opt/hostedtoolcache/Java_Adopt_jdk/8.0.242-8.1/x64

  testopenjsse:
    runs-on: ubuntu-latest
    if: contains(github.event.pull_request.labels.*.name, 'providers')

    steps:
      - name: Checkout
        uses: actions/checkout@v4
        with:

    }

    def "matches GradleDaemon on linux"() {

    constraint_values = if_google(
        ["//third_party/bazel_platforms/os:windows"],
        [],
    ),
    # OSS builds query the CPU type.
    values = if_oss(
        {"cpu": "x64_windows"},
        {},
    ),
    visibility = ["//visibility:public"],
)

config_setting(
    name = "no_tensorflow_py_deps",
    define_values = {"no_tensorflow_py_deps": "true"},

                }
            },
            "source": {
                "host": "192.168.56.192",
                "port": "",
                "userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:69.0) Gecko/20100101 Firefox/69.0"
            }
        }
    ]
}
```

## Publish MinIO events via Webhooks

### Known Caveats

### Major Features and Improvements

*   [oneDNN CPU performance optimizations](https://github.com/tensorflow/community/blob/master/rfcs/20210930-enable-onednn-ops.md)
    Windows x64 & x86.

    *   **Windows x64 & x86 packages:**
        *   oneDNN optimizations are *enabled by default* on X86 CPUs