.md-typeset h1, .md-typeset h2, .md-typeset h3, .md-typeset h4 {
    font-family: cash-market,"Helvetica Neue",helvetica,sans-serif;
    line-height: normal;
    font-weight: bold;
}

button.dl {
  font-weight: 300;
  font-size: 25px;
  line-height: 40px;
  padding: 3px 10px;
  display: inline-block;
  border-radius: 6px;
  color: #f0f0f0;
  margin: 5px 0;
  width: auto;
}

.logo {
  text-align: center;

      static_cast<bool>(should_enable);
}

void TF_SetXlaMinClusterSize(int size) {
  tensorflow::MarkForCompilationPassFlags* flags =
      tensorflow::GetMarkForCompilationPassFlags();
  flags->tf_xla_min_cluster_size = size;
}

TF_Buffer* TF_CreateConfig(unsigned char enable_xla_compilation,
                           unsigned char gpu_memory_allow_growth,

  private final ImmutableMap<K, V> map;

  ImmutableMapKeySet(ImmutableMap<K, V> map) {
    this.map = map;
  }

  @Override
  public int size() {
    return map.size();
  }

  @Override
  public UnmodifiableIterator<K> iterator() {
    return map.keyIterator();
  }

  @Override
  public boolean contains(@Nullable Object object) {

            size += workstationBytes.length;
        }

        final byte[] micBytes = getMic();
        if (micBytes != null) {
            size += 8 + 16;
        } else if (getFlag(NTLMSSP_NEGOTIATE_VERSION)) {
            size += 8;
        }

        final byte[] lmResponseBytes = getLMResponse();
        size += lmResponseBytes != null ? lmResponseBytes.length : 0;

			<PatternLayout><Pattern>${log.pattern}</Pattern></PatternLayout><!-- <EcsLayout serviceName="fess" eventDataset="crawler" /> -->
			<Policies>
				<TimeBasedTriggeringPolicy />
				<SizeBasedTriggeringPolicy size="100 MB" />
			</Policies>
			<DefaultRolloverStrategy fileIndex="max" min="1"
				max="${backup.max.history}" compressionLevel="9" />
		</RollingFile>
		<Rewrite name="AppFile">
			<AppenderRef ref="AppRollingFile" />

    return forward.lastEntry();
  }

  @Override
  public @Nullable Entry<E> lastEntry() {
    return forward.firstEntry();
  }

  @Override
  public int size() {
    return forward.size();
  }

  @Override
  public ImmutableSortedSet<E> elementSet() {
    return forward.elementSet().descendingSet();
  }

  @Override
  Entry<E> getEntry(int index) {

    throw new UnsupportedOperationException();
  }

  @Override
  public int size() {
    if (graph.isDirected()) {
      return graph.inDegree(node)
          + graph.outDegree(node)
          - (graph.successors(node).contains(node) ? 1 : 0);
    } else {
      return graph.adjacentNodes(node).size();
    }
  }

  @Override
  public boolean contains(@Nullable Object obj) {

    // If this frame overflows the buffer, reject it and close the web socket.
    if (queueSize + data.size > MAX_QUEUE_SIZE) {
      close(CLOSE_CLIENT_GOING_AWAY, null)
      return false
    }

    // Enqueue the message frame.
    queueSize += data.size.toLong()
    messageAndCloseQueue.add(Message(formatOpcode, data))
    runWriter()
    return true
  }

      new Ordering<Invokable<?, ?>>() {
        @Override
        public int compare(Invokable<?, ?> left, Invokable<?, ?> right) {
          return Integer.compare(left.getParameters().size(), right.getParameters().size());
        }
      };

  private final MutableClassToInstanceMap<Object> defaultValues =
      MutableClassToInstanceMap.create();

                    queryLog = queryLogReader.read();
                    if (queryLog == null && !queryLogs.isEmpty() || queryLogs.size() >= docPerReq) {
                        final SuggestIndexResponse res = indexFromQueryLog(queryLogs.toArray(new QueryLog[queryLogs.size()]));
                        errors.addAll(res.getErrors());
                        numberOfSuggestDocs += res.getNumberOfSuggestDocs();