}

TEST(CAPI, Tensor) {
  const int num_bytes = 6 * sizeof(float);
  float* values =
      reinterpret_cast<float*>(tensorflow::cpu_allocator()->AllocateRaw(
          TF_TensorDefaultAlignment(), num_bytes));
  int64_t dims[] = {2, 3};
  bool deallocator_called = false;
  TF_Tensor* t = TF_NewTensor(TF_FLOAT, dims, 2, values, num_bytes,
                              &Deallocator, &deallocator_called);

    int numBytes = isIpv6 ? 16 : 4;

    byte[] addressBytes = address.toByteArray();
    byte[] targetCopyArray = new byte[numBytes];

    int srcPos = max(0, addressBytes.length - numBytes);
    int copyLength = addressBytes.length - srcPos;
    int destPos = numBytes - copyLength;

    // Check the extra bytes in the BigInteger are all zero.

    int numBytes = isIpv6 ? 16 : 4;

    byte[] addressBytes = address.toByteArray();
    byte[] targetCopyArray = new byte[numBytes];

    int srcPos = max(0, addressBytes.length - numBytes);
    int copyLength = addressBytes.length - srcPos;
    int destPos = numBytes - copyLength;

    // Check the extra bytes in the BigInteger are all zero.

			"23 GNU.sparse.offset=1\n25 GNU.sparse.numbytes=2\n" +
			"23 GNU.sparse.offset=3\n25 GNU.sparse.numbytes=4\n",
			map[string]string{paxGNUSparseSize: "10", paxGNUSparseNumBlocks: "2", paxGNUSparseMap: "1,2,3,4"}, true},
		{"22 GNU.sparse.size=10\n26 GNU.sparse.numblocks=1\n" +
			"25 GNU.sparse.numbytes=2\n23 GNU.sparse.offset=1\n",
			nil, false},

        double value = random.nextDouble();
        for (PrimitiveSink sink : sinks) {
          sink.putDouble(value);
        }
      }
    },
    PUT_BYTES() {
      @Override
      void performAction(Random random, Iterable<? extends PrimitiveSink> sinks) {
        byte[] value = new byte[random.nextInt(128)];
        random.nextBytes(value);

	paxGNUSparse          = "GNU.sparse."
	paxGNUSparseNumBlocks = "GNU.sparse.numblocks"
	paxGNUSparseOffset    = "GNU.sparse.offset"
	paxGNUSparseNumBytes  = "GNU.sparse.numbytes"
	paxGNUSparseMap       = "GNU.sparse.map"
	paxGNUSparseName      = "GNU.sparse.name"
	paxGNUSparseMajor     = "GNU.sparse.major"
	paxGNUSparseMinor     = "GNU.sparse.minor"
	paxGNUSparseSize      = "GNU.sparse.size"