code: def test_real_safetensors_open(self):
      fn = temp("real_safe")
      state_dict = {"tmp": Tensor.rand(10, 10)}
      safe_save(state_dict, fn)
      import os
  
      assert os.path.getsize(fn) == 8 + 0x40 + (10 * 10 * 4)
      from safetensors import safe_open
  
      with safe_open(fn, framework="pt", device="cpu") as f:
          assert sorted(f.keys()) == sorted(state_dict.keys())
          for k in f.keys():
              np.testing.assert_array_equal(
                  f.get_tensor(k).numpy(), state_dict[k].numpy()
              )
  
imports: import pathlib, unittest
  import numpy
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.nn.state import safe_load, safe_save, get_state_dict, torch_load
  from tinygrad.helpers import Timing, CI, fetch, temp
label_desc: Use image node_id 2 for calling the TestSafetensors obj's underlying member method code with example usage: obj.test_real_safetensors_open() without return types