(contains(inputs.runner, 'linux-arm64') && 'us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest') ||
                   (contains(inputs.runner, 'windows-x86') && null) }}
    timeout-minutes: 300
    steps:

      #- name: Enable Long Paths
      #  if: contains(inputs.runner, 'windows-x86')
      #  run: Set-ItemProperty -Path 'HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem' -Name 'LongPathsEnabled' -Value 1

import static com.google.common.base.Strings.isNullOrEmpty;
import static java.util.concurrent.TimeUnit.DAYS;
import static java.util.concurrent.TimeUnit.HOURS;
import static java.util.concurrent.TimeUnit.MINUTES;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.MoreObjects;

import static com.google.common.base.Strings.isNullOrEmpty;
import static java.util.concurrent.TimeUnit.DAYS;
import static java.util.concurrent.TimeUnit.HOURS;
import static java.util.concurrent.TimeUnit.MINUTES;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.MoreObjects;

    Cache<Integer, Integer> cache =
        CacheBuilder.newBuilder()
            .expireAfterAccess(1, MINUTES)
            .removalListener(listener)
            .ticker(ticker)
            .build();
    cache.put(1, 1);
    ticker.advance(10, MINUTES);
    cache.invalidateAll();

    assertThat(listener.poll().getCause()).isEqualTo(RemovalCause.EXPIRED);
  }

        assertNotNull(helper.userInfoCache);
        assertNotNull(helper.searchLogLogger);
    }

    @Test
    public void test_setUserCheckInterval() {
        long interval = 5 * 60 * 1000L; // 5 minutes
        searchLogHelper.setUserCheckInterval(interval);
        assertEquals(interval, searchLogHelper.userCheckInterval);
    }

    @Test
    public void test_setUserInfoCacheSize() {
        int cacheSize = 5000;

    /**
     * Default constructor for SearchLogHelper.
     */
    public SearchLogHelper() {
        // Default constructor
    }

    /** Interval for checking user information in milliseconds (default: 10 minutes). */
    protected long userCheckInterval = 10 * 60 * 1000L; // 10 min

    /** Maximum size of the user information cache. */
    protected int userInfoCacheSize = 10000;

    /** Queue for storing search logs. */

# Whether RAG chat feature is enabled.
rag.chat.enabled=false


# Chat generation settings.
rag.chat.context.max.documents=5

# Session settings.
rag.chat.session.timeout.minutes=30
rag.chat.session.max.size=10000
rag.chat.history.max.messages=30

# Enhanced RAG flow settings.
# Fields to retrieve for full document content.

     * Get the value for the key 'rag.chat.session.timeout.minutes'. <br>
     * The value is, e.g. 30 <br>
     * comment: Session settings.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getRagChatSessionTimeoutMinutes();

    /**
     * Get the value for the key 'rag.chat.session.timeout.minutes' as {@link Integer}. <br>
     * The value is, e.g. 30 <br>

        pipeline deterministic. This may lead to increased model loading time,
        because time spent in graph optimizations is now unbounded (was 20
        minutes).
*   Deterministic Op Functionality (enabled by setting `TF_DETERMINISTIC_OPS` to
    `"true"` or `"1"`):
    *   Add a deterministic GPU implementation of
        `tf.nn.softmax_cross_entropy_with_logits`. See PR

      this.arithmetic = arithmetic;
    }

    @Override
    public int add(int a, int b) {
      return arithmetic.add(a, b);
    }

    @Override
    public int minus(int a, int b) {
      return arithmetic.minus(a, b);
    }

    @Override
    public String toString() {
      return arithmetic.toString();
    }
  }