code: def test__dict_to_numpy_array2(self):
      d = {"a": {"a": 1, "b": 2}, "b": {"a": 10, "b": 20}}
  
      mapping = {"a": 1, "b": 0}
      a = _dict_to_numpy_array2(d, mapping=mapping)
      np.testing.assert_allclose(a, np.array([[20, 10], [2, 1]]))
  
      a = _dict_to_numpy_array2(d)
      np.testing.assert_allclose(a.sum(), 33)
  
imports: import random
  from copy import copy
  import pytest
  import networkx
  from networkx.utils import PythonRandomInterface, arbitrary_element, create_py_random_state, create_random_state, dict_to_numpy_array, discrete_sequence, flatten, groups, make_list_of_ints, pairwise, powerlaw_sequence
  from networkx.utils.misc import _dict_to_numpy_array1, _dict_to_numpy_array2
label_desc: Use image node_id 4 for calling the TestNumpyArray obj's underlying member method code with example usage: obj.test__dict_to_numpy_array2() without return types