}

	// Cache the Schema for performance,
	// Use the modelType or modelType + schemaTable (if it present) as cache key.
	var schemaCacheKey interface{}
	if specialTableName != "" {
		schemaCacheKey = fmt.Sprintf("%p-%s", modelType, specialTableName)
	} else {
		schemaCacheKey = modelType
	}

	// Load exist schema cache, return if exists

                                    <label for="doc.cache" class="col-sm-3 text-sm-right col-form-label">cache</label>
                                    <div class="col-sm-9">
                                        <la:errors property="doc.cache"/>
                                        <la:text styleId="doc.cache" property="doc.cache" styleClass="form-control"/>
                                    </div>

    #   make release
    - uses: actions/checkout@v2
    - name: Set up JDK 21
      uses: actions/setup-java@v2
      with:
        java-version: '21'
        distribution: 'temurin'
    - name: Cache Maven packages
      uses: actions/cache@v2
      with:
        path: ~/.m2
        key: ${{ runner.os }}-m2-${{ hashFiles('**/pom.xml') }}
        restore-keys: ${{ runner.os }}-m2
    - name: Build with Maven

    int getNetbiosRetryCount ();


    /**
     * 
     * 
     * Property <tt>jcifs.netbios.cachePolicy</tt> in minutes (int, default 600)
     * 
     * @return netbios cache timeout, in seconds, 0 - disable caching, -1 - cache forever
     */
    int getNetbiosCachePolicy ();


    /**
     * 
     * @return the maximum size of IO buffers, limits the maximum message size
     */

    steps:
    - uses: actions/checkout@v2
    - name: Set up JDK 21
      uses: actions/setup-java@v2
      with:
        java-version: '21'
        distribution: 'temurin'
    - uses: actions/cache@v1
      with:
        path: ~/.m2/repository
        key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
        restore-keys: |
          ${{ runner.os }}-maven-
    - name: Build with Maven

   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be
   * placed adjacent to each other, and so will most often share
   * cache lines (with a huge negative performance impact) without

     * systems that use extensive caching, detection occurs only when the cache is sufficiently flushed.s
     */
    public static final int FILE_NOTIFY_CHANGE_SIZE = 0x00000008;

    /**
     * Any change to the last write-time of files in the watched directory or subtree causes a change notification wait

            "-Dorg.gradle.workers.max=%maxParallelForks%",
            "-PmaxParallelForks=%maxParallelForks%",
            pluginPortalUrlOverride,
            "-s",
            "--no-configuration-cache",
            "%additional.gradle.parameters%",
            "--daemon",
            "--continue",
            "-DbuildScan.PartOf=PullRequestFeedback,ReadyforNightly,ReadyforRelease",
            "-Dscan.tag.PerformanceTest"

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.cache;

/**
 * GWT emulation for LongAddables.
 *
 * @author Louis Wasserman
 */
final class LongAddables {
  public static LongAddable create() {
    return new LongAdder();
  }

}

absl::Status ImmediateExecutionTensorHandle::SummarizeValue(
    std::string& summary) const {
  absl::Status status;
  AbstractTensorPtr resolved(
      // TODO(allenl): Resolve should be const, and the caches that get updated
      // marked mutable.
      const_cast<ImmediateExecutionTensorHandle*>(this)->Resolve(&status));
  if (!status.ok()) {
    return status;
  }
  summary = resolved->SummarizeValue();