dltensor_in->dtype = {kDLFloat, 32, 1};
  dltensor_in->shape = shape.data();
  dltensor_in->strides = strides.data();
  TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx);
  ASSERT_NE(handle, nullptr)
      << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",")
      << "], strides=[" << absl::StrJoin(strides, ",") << "])";

  auto* dlm_out =

  // 1) nullptr indicates tensor is compact and row-majored.
  // 2) fill in the strides array as the real case for compact row-major data.
  // Here we choose option 2, since some frameworks didn't handle the strides
  // argument properly.
  dlm_tensor->dl_tensor.strides = stride_arr->data();

  dlm_tensor->dl_tensor.byte_offset =
      0;  // TF doesn't handle the strides and byte_offsets here
  return static_cast<void*>(dlm_tensor);
}

    } else {
      return next >>> 1;
    }
  }

  public void testCrc32cStrideTable() {
    int next = CRC32C_GENERATOR_FLIPPED;
    for (int i = 0; i < 12; i++) { // for 3 ints = 12 bytes in between each stride window
      next = (next >>> 8) ^ Crc32cHashFunction.Crc32cHasher.BYTE_TABLE[next & 0xFF];
    }
    int[][] expected = new int[4][256];
    for (int b = 0; b < 4; ++b) {
      for (int bit = 128; bit != 0; bit >>= 1) {

	}
	return
}

func testReadLine(t *testing.T, input []byte) {
	for stride := 1; stride < 2; stride++ {
		done := 0
		reader := testReader{input, stride}
		l := NewReaderSize(&reader, len(input)+1)
		for {
			line, isPrefix, err := l.ReadLine()
			if len(line) > 0 && err != nil {
				t.Errorf("ReadLine returned both data and error: %s", err)
			}
			if isPrefix {
				t.Errorf("ReadLine returned prefix")

    // Less than 16,834 bytes, because we binary search on a 14-bit index.
    assertThat(compactTable.sections.length).isLessThan(1 shl 14)

    // Less than 65,536 bytes, because we binary search on a 14-bit index with a stride of 4 bytes.
    assertThat(compactTable.ranges.length).isLessThan((1 shl 14) * 4)

    // Less than 16,384 chars, because we index on a 14-bit index in the ranges table.

    } else {
      return next >>> 1;
    }
  }

  public void testCrc32cStrideTable() {
    int next = CRC32C_GENERATOR_FLIPPED;
    for (int i = 0; i < 12; i++) { // for 3 ints = 12 bytes in between each stride window
      next = (next >>> 8) ^ Crc32cHashFunction.Crc32cHasher.BYTE_TABLE[next & 0xFF];
    }
    int[][] expected = new int[4][256];
    for (int b = 0; b < 4; ++b) {
      for (int bit = 128; bit != 0; bit >>= 1) {

  TF_DeleteTensor(tensor);
  TFE_DeleteTensorHandle(tensor_handle);

  std::vector<int64_t> values(4, 1);
  TFE_OpSetAttrIntList(op, "ksize", values.data(), values.size());
  TFE_OpSetAttrIntList(op, "strides", values.data(), values.size());

  const int BUFFER_SIZE = 10;
  char buffer[BUFFER_SIZE];
  std::strncpy(buffer, "VALID", BUFFER_SIZE);
  TFE_OpSetAttrString(op, "padding", buffer, std::strlen(buffer));

	var rs []rune
	for _, r16 := range rt.R16 {
		for r := rune(r16.Lo); r <= rune(r16.Hi); r += rune(r16.Stride) {
			if r != needle {
				rs = append(rs, rune(r))
			}
		}
	}
	for _, r32 := range rt.R32 {
		for r := rune(r32.Lo); r <= rune(r32.Hi); r += rune(r32.Stride) {
			if r != needle {
				rs = append(rs, rune(r))
			}
		}
	}

pkg image, method (Rectangle) ColorModel() color.Model
pkg image, type CMYK struct
pkg image, type CMYK struct, Pix []uint8
pkg image, type CMYK struct, Rect Rectangle
pkg image, type CMYK struct, Stride int
pkg image/color, func CMYKToRGB(uint8, uint8, uint8, uint8) (uint8, uint8, uint8)
pkg image/color, func RGBToCMYK(uint8, uint8, uint8) (uint8, uint8, uint8, uint8)

pkg image, type Alpha struct, Pix []uint8
pkg image, type Alpha struct, Rect Rectangle
pkg image, type Alpha struct, Stride int
pkg image, type Alpha16 struct
pkg image, type Alpha16 struct, Pix []uint8
pkg image, type Alpha16 struct, Rect Rectangle
pkg image, type Alpha16 struct, Stride int
pkg image, type Config struct
pkg image, type Config struct, ColorModel color.Model
pkg image, type Config struct, Height int