throw new CrawlingAccessException("Could not parse " + responseData.getUrl(), e);
        }
        final Document document = parser.getDocument();

        final StringBuilder buf = new StringBuilder(1000);
        buf.append(getResultDataHeader());
        for (final Map.Entry<String, String> entry : fieldRuleMap.entrySet()) {
            final String path = entry.getValue();
            try {

        requestBody.put("user_agent", "Mozilla/5.0");
        requestBody.put("depth", 1);
        requestBody.put("num_of_thread", 1);
        requestBody.put("interval_time", 1000);
        requestBody.put("boost", 100);
        requestBody.put("available", true);
        requestBody.put("sort_order", 0);
        createWebConfig(requestBody);
    }

    private static void createJob() {

    }

    if (elapsedMs != -1L) {
      assertThat(
        TimeUnit.NANOSECONDS.toMillis(actualElapsedNs)
          .toDouble(),
      )
        .isCloseTo(elapsedMs.toDouble(), 100.0)
    }

    return result
  }

  fun recordedEventTypes() = eventSequence.map { it.name }

  fun clearAllEvents() {
    while (eventSequence.isNotEmpty()) {
      takeEvent()
    }
  }

   * static final ImmutableValueGraph<City, Distance> CITY_ROAD_DISTANCE_GRAPH =
   *     ValueGraphBuilder.undirected()
   *         .<City, Distance>immutable()
   *         .putEdgeValue(PARIS, BERLIN, kilometers(1060))
   *         .putEdgeValue(PARIS, BRUSSELS, kilometers(317))
   *         .putEdgeValue(BERLIN, BRUSSELS, kilometers(764))
   *         .addNode(REYKJAVIK)
   *         .build();
   * }</pre>
   *

    HashBiMap<String, String> bimap = HashBiMap.create(map);
    assertEquals("dollar", bimap.get("canada"));
    assertEquals("canada", bimap.inverse().get("dollar"));
  }

  private static final int N = 1000;

  public void testBashIt() throws Exception {
    BiMap<Integer, Integer> bimap = HashBiMap.create(N);
    BiMap<Integer, Integer> inverse = bimap.inverse();

    for (int i = 0; i < N; i++) {

    // Check the first 100,000 integers
    for (int i = 0; i < 100000; i++) {
      assertEquals(LongMath.isPrime(i), IntMath.isPrime(i));
    }

    // Then check 1000 deterministic pseudo-random int values.
    Random rand = new Random(1);
    for (int i = 0; i < 1000; i++) {
      int n = rand.nextInt(Integer.MAX_VALUE);
      assertEquals(LongMath.isPrime(n), IntMath.isPrime(n));
    }
  }

      }
    };
  }

  public enum Value {
    INSTANCE;
  }

  public enum ListSizeDistribution {
    UNIFORM_0_TO_2(0, 2),
    UNIFORM_0_TO_9(0, 9),
    ALWAYS_0(0, 0),
    ALWAYS_10(10, 10);

    final int min;
    final int max;

    private ListSizeDistribution(int min, int max) {
      this.min = min;
      this.max = max;
    }

    public int chooseSize(Random random) {

    if (value > 0.0) {
      return value;
    } else {
      return Double.MIN_VALUE;
    }
  }

  private static double ensureInUnitRange(double value) {
    return Doubles.constrainToRange(value, -1.0, 1.0);
  }

      TFE_DeleteOp);
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
  std::unique_ptr<ParallelTensor> reduced_values =
      parallel_device.ScalarsFromSequence<float>({1.0, 2.0}, context.get(),
                                                 status.get());
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
  std::unique_ptr<ParallelTensor> run_collective =

!important;\n}\n\n.w-75 {\n  width: 75% !important;\n}\n\n.w-100 {\n  width: 100% !important;\n}\n\n.w-auto {\n  width: auto !important;\n}\n\n.h-25 {\n  height: 25% !important;\n}\n\n.h-50 {\n  height: 50% !important;\n}\n\n.h-75 {\n  height: 75% !important;\n}\n\n.h-100 {\n  height: 100% !important;\n}\n\n.h-auto {\n  height: auto !important;\n}\n\n.mw-100 {\n  max-width: 100% !important;\n}\n\n.mh-100 {\n  max-height: 100% !important;\n}\n\n.min-vw-100 {\n  min-width: 100vw !important;\n}\n\n.min-vh-100...