Iterator<String> iterator = Lists.newArrayList("manny", "mo", "jack").iterator();
    assertEquals(1, Iterators.indexOf(iterator, equalTo("mo")));
    assertThat(iterator.next()).isEqualTo("jack");
    assertFalse(iterator.hasNext());
  }

  public void testIndexOf_consumedDataWithDuplicates() {
    Iterator<String> iterator = Lists.newArrayList("manny", "mo", "mo", "jack").iterator();

    Iterator<String> iterator = Lists.newArrayList("manny", "mo", "jack").iterator();
    assertEquals(1, Iterators.indexOf(iterator, equalTo("mo")));
    assertThat(iterator.next()).isEqualTo("jack");
    assertFalse(iterator.hasNext());
  }

  public void testIndexOf_consumedDataWithDuplicates() {
    Iterator<String> iterator = Lists.newArrayList("manny", "mo", "mo", "jack").iterator();

    assertEquals(-1, Iterables.indexOf(list, equalTo("jack")));
  }

  public void testIndexOf_twoElements() {
    List<String> list = Lists.newArrayList("mary", "bob");
    assertEquals(0, Iterables.indexOf(list, equalTo("mary")));
    assertEquals(1, Iterables.indexOf(list, equalTo("bob")));
    assertEquals(-1, Iterables.indexOf(list, equalTo("jack")));
  }

  public void testIndexOf_withDuplicates() {

    *   XLA reduction emitter is deterministic when the environment variable
        `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends
        deterministic `tf.nn.bias_add` back-prop functionality (and therefore
        also deterministic back-prop of bias-addition in Keras layers) to
        include when XLA JIT compilation is enabled.
    *   Fix problem, when running on a CUDA GPU and when either environment

/third_party/protoc*

# User cluster configs
.kubeconfig

.tags*

# Version file for dockerized build
.dockerized-kube-version-defs

# Web UI
/www/master/node_modules/
/www/master/npm-debug.log
/www/master/shared/config/development.json

# Karma output
/www/test_out

# precommit temporary directories created by ./hack/verify-generated-docs.sh and ./hack/lib/util.sh

	c.mu.Lock()
	defer c.mu.Unlock()
	if ent := c.evictList.Back(); ent != nil {
		c.removeElement(ent)
		return ent.Key, ent.Value, true
	}
	return
}

// GetOldest returns the oldest entry
func (c *LRU[K, V]) GetOldest() (key K, value V, ok bool) {
	c.mu.RLock()
	defer c.mu.RUnlock()
	if ent := c.evictList.Back(); ent != nil {
		return ent.Key, ent.Value, true
	}
	return
}

            if (isEmptyContentWithLengthFinish(response)) {
                logger.warn(
                        "[RAG:INTENT] Empty content with finish_reason=length detected (possible reasoning model token exhaustion). Falling back to search. userMessage={}",
                        userMessage);
                return IntentDetectionResult.fallbackSearch(userMessage);
            }

    RateLimiter limiter = RateLimiter.create(2.0, 4000, MILLISECONDS, 3.0, stopwatch);
    for (int i = 0; i < 8; i++) {
      limiter.acquire(); // // #1
    }
    stopwatch.sleepMillis(4500); // #2: back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 3; i++) { // only three steps, we're somewhere in the warmup period
      limiter.acquire(); // #3
    }

    RateLimiter limiter = RateLimiter.create(2.0, 4000, MILLISECONDS, 3.0, stopwatch);
    for (int i = 0; i < 8; i++) {
      limiter.acquire(); // // #1
    }
    stopwatch.sleepMillis(4500); // #2: back to cold state (warmup period + repay last acquire)
    for (int i = 0; i < 3; i++) { // only three steps, we're somewhere in the warmup period
      limiter.acquire(); // #3
    }

labels.logout_button=Logout
labels.profile=Change Password
labels.administration=Administration
labels.profile_button=Settings
labels.profile.title=Settings
labels.profile.update=Update
labels.profile.back=Back
labels.profile.placeholder_old_password=Current Password
labels.profile.placeholder_new_password=New Password
labels.profile.placeholder_confirm_new_password=Confirm New Password
labels.top.search=Search