makeMap(createMapMaker().concurrencyLevel(concurrencyLevel));
    assertThat(map.segments).hasLength(segmentCount);
  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);

    List<Integer> list = asList(1, 2, 3);
    assertEquals(1, partition(list, Integer.MAX_VALUE).size());
    assertEquals(1, partition(list, Integer.MAX_VALUE - 1).size());
  }

  @GwtIncompatible // cannot do such a big explicit copy
  @J2ktIncompatible // too slow
  public void testPartitionSize_2() {
    assertEquals(2, partition(nCopies(0x40000001, 1), 0x40000000).size());
  }

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    float[][] arrays = new float[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    float[] sharedArray = new float[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Floats.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    int[][] arrays = new int[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    int[] sharedArray = new int[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Ints.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {
    }

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    double[][] arrays = new double[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    double[] sharedArray = new double[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Doubles.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    float[][] arrays = new float[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    float[] sharedArray = new float[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Floats.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    long[][] arrays = new long[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    long[] sharedArray = new long[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Longs.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {

    List<Integer> list = asList(1, 2, 3);
    assertEquals(1, partition(list, Integer.MAX_VALUE).size());
    assertEquals(1, partition(list, Integer.MAX_VALUE - 1).size());
  }

  @GwtIncompatible // cannot do such a big explicit copy
  @J2ktIncompatible // too slow
  public void testPartitionSize_2() {
    assertEquals(2, partition(nCopies(0x40000001, 1), 0x40000000).size());
  }

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# New rules should be added above this target.
# -------------------------------------------

# TensorFlow uses several libraries that may also be used by applications
# linking against the C and C++ APIs (such as libjpeg).  When we create
# the shared library, only export the core TF API functions to avoid
# causing library conflicts (e.g., those reported in github issue 1924).