assertEquals(80L, MemoryUtil.sizeOf(LocalDateTime.now()));
        assertEquals(2128L, MemoryUtil.sizeOf(ZonedDateTime.now()));
        assertEquals(66L, MemoryUtil.sizeOf("1234567890"));
        assertEquals(76L, MemoryUtil.sizeOf("12345678901234567890"));
        assertEquals(66L, MemoryUtil.sizeOf(new String[] { "1234567890" }));

            long size = 0;
            for (final Object value : (Object[]) obj) {
                size += sizeOf(value);
            }
            return size;
        }
        if (obj instanceof Collection<?>) {
            long size = 0;
            for (final Object value : (Collection<?>) obj) {
                size += sizeOf(value);
            }
            return size;
        }
        if (obj instanceof Map<?, ?>) {

  int64_t dims[] = {2, 2};
  double data[] = {1.0, 2.0, 3.0, 4.0};
  TF_Status* status = TF_NewStatus();
  TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_DOUBLE, &dims[0],
                                        sizeof(dims) / sizeof(int64_t), status);
  memcpy(TF_TensorData(t), &data[0], TF_TensorByteSize(t));
  TFE_TensorHandle* th = TFE_NewTensorHandleFromTensor(ctx, t, status);
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

    float value = 0.0f;
    TF_Tensor* t = TFE_TensorHandleResolve(handle_1, status);
    ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    ASSERT_EQ(sizeof(float), TF_TensorByteSize(t));
    memcpy(&value, TF_TensorData(t), sizeof(float));
    TF_DeleteTensor(t);
    EXPECT_EQ(1.2f, value);
    TFE_DeleteTensorHandle(handle_1);
    TF_DeleteStatus(status);
    TFE_DeleteTensorHandle(var_handle);
  }

  DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
  shape.num_dims = num_dims;
  shape.dims = new int64_t[num_dims];
  memcpy(shape.dims, dims, sizeof(int64_t) * num_dims);
}

void TF_ShapeAndTypeListSetUnknownShape(TF_ShapeAndTypeList* shape_list,
                                        int index) {
  DCHECK(index >= 0 && index < shape_list->num_items);

  TF_Tensor* t = TFE_TensorHandleResolve(handle, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  std::unique_ptr<float[]> actual_values(new float[expected_values.size()]);
  EXPECT_EQ(sizeof(float) * expected_values.size(), TF_TensorByteSize(t));
  memcpy(actual_values.get(), TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);

  for (int i = 0; i < expected_values.size(); i++) {

     * @return the estimated memory size in bytes
     */
    public long calculateDocumentSize(final Map<String, Object> dataMap) {
        return MemoryUtil.sizeOf(dataMap);
    }

    /**
     * Sets the maximum number of retry attempts for failed operations.
     *
     * @param maxRetryCount the maximum retry count
     */

nil { t.Fatalf("mprotect low failed %s\n", err) } err = syscall.Mprotect(b[2*pagesize:], syscall.PROT_NONE) if err != nil { t.Fatalf("mprotect high failed %s\n", err) } b = b[pagesize : 2*pagesize] end = (*T)(unsafe.Pointer(&b[len(b)-(int)(unsafe.Sizeof(*end))])) start = (*T)(unsafe.Pointer(&b[0])) return start, end } func TestP256SelectAffine(t *testing.T) { var out p256AffinePoint begintp, endtp := dangerousObjs[p256AffineTable](t) for i := 0; i < 31; i++ { p256SelectAffine(&out, begintp, i) p...

nil { t.Fatalf("mprotect low failed %s\n", err) } err = syscall.Mprotect(b[2*pagesize:], syscall.PROT_NONE) if err != nil { t.Fatalf("mprotect high failed %s\n", err) } b = b[pagesize : 2*pagesize] end = (*T)(unsafe.Pointer(&b[len(b)-(int)(unsafe.Sizeof(*end))])) start = (*T)(unsafe.Pointer(&b[0])) return start, end } func TestP256SelectAffine(t *testing.T) { var out p256AffinePoint begintp, endtp := dangerousObjs[p256AffineTable](t) for i := 0; i < 31; i++ { p256SelectAffine(&out, begintp, i) p...