*
   * <p>The function is applied lazily, invoked when needed. This is necessary for the returned map
   * to be a view, but it means that the function will be applied many times for bulk operations
   * like {@link Map#containsValue} and {@code Map.toString()}. For this to perform well, {@code
   * function} should be fast. To avoid lazy evaluation when the returned map doesn't need to be a

    }
    add(FirErrors.EMPTY_CHARACTER_LITERAL) { firDiagnostic ->
        EmptyCharacterLiteralImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }
    add(FirErrors.TOO_MANY_CHARACTERS_IN_CHARACTER_LITERAL) { firDiagnostic ->
        TooManyCharactersInCharacterLiteralImpl(
            firDiagnostic as KtPsiDiagnostic,
            token,
        )
    }

madrid

// maif : 2014-10-02 Mutuelle Assurance Instituteur France (MAIF)
maif

// maison : 2013-12-05 Binky Moon, LLC
maison

// makeup : 2015-01-15 XYZ.COM LLC
makeup

// man : 2014-12-04 MAN SE
man

// management : 2013-11-07 Binky Moon, LLC
management

// mango : 2013-10-24 PUNTO FA S.L.
mango

// map : 2016-06-09 Charleston Road Registry Inc.
map

    // entries. The special casing for size-based eviction is only necessary because that eviction
    // happens per segment instead of globally, so too many segments compared to the maximum size
    // will result in random eviction behavior.
    int segmentShift = 0;
    int segmentCount = 1;
    while (segmentCount < concurrencyLevel

    // entries. The special casing for size-based eviction is only necessary because that eviction
    // happens per segment instead of globally, so too many segments compared to the maximum size
    // will result in random eviction behavior.
    int segmentShift = 0;
    int segmentCount = 1;
    while (segmentCount < concurrencyLevel

- A new metric `lifecycle_handler_sleep_terminated_total` is added to record how many times LifecycleHandler sleep got unexpectedly terminated. ([#122456](https://github.com/kubernetes/kubernetes/pull/122456), [@AxeZhan](https://github.com/AxeZhan))

        for (int i = 0; i < DRAIN_THRESHOLD * 2; i++) {
          map.get(keyOne);
          assertTrue(segment.recencyQueue.size() <= DRAIN_THRESHOLD);
        }

        // get over many different keys

        for (int i = 0; i < DRAIN_THRESHOLD * 2; i++) {
          map.put(new Object(), new Object());
        }
        assertTrue(segment.recencyQueue.isEmpty());

        for (int i = 0; i < DRAIN_THRESHOLD * 2; i++) {
          map.get(keyOne);
          assertTrue(segment.recencyQueue.size() <= DRAIN_THRESHOLD);
        }

        // get over many different keys

        for (int i = 0; i < DRAIN_THRESHOLD * 2; i++) {
          map.put(new Object(), new Object());
        }
        assertTrue(segment.recencyQueue.isEmpty());

    )
    val url = server.url("/a")
    assertThat(get(url).body.string()).isEqualTo("a")
    val i = cache.urls()
    assertThat(i.next()).isEqualTo(url.toString())
    i.remove()

    // Too many calls to remove().
    assertFailsWith<IllegalStateException> {
      i.remove()
    }
  }

  @Test
  fun elementEvictedBetweenHasNextAndNext() {
    // Put a response in the cache.

            "issue at https://github.com/tensorflow/tensorflow/issues.");
        return;
      }
      // We have a convoluted scheme here: Using the C++ graph construction API
      // to add potentially many nodes to the graph without running the checks
      // (such as uniqueness of the names of nodes) we run with other functions
      // that add a node to the graph (like TF_FinishOperation).