code: def test_nd_array_narrow_copy(self, ctx_name):
      self.try_to_set_ctx(ctx_name)
  
      a = nn.NdArray(2, 2)
      a.fill(3)
      a = F.identity(a)
      assert (a.get_data(mode="r") == np.full([2, 2], 3)).all()
  
      b = a.narrow(0, 0, 1)
  
      c = nn.NdArray(b.shape)
      c.fill(5)
  
      # Check copy_from array to narrow array
      b.copy_from(c)
      assert (b.get_data(mode="r") == c.data).all()
      assert (b.get_data(mode="r") == np.full([1, 2], 5)).all()
      assert (a.data[0:1] == b.data).all()
  
      # Check copy_from narrow array to array
      a = nn.NdArray(2, 2)
      a.fill(8)
      a = F.identity(a)
      b = a.narrow(0, 0, 1)
      c.copy_from(b)
      assert (b.get_data(mode="r") == c.data).all()
      assert (b.get_data(mode="r") == np.full([1, 2], 8)).all()
  
      a = nn.NdArray(2, 2)
      a.fill(3)
      a = F.identity(a)
      assert (a.get_data(mode="r") == np.full([2, 2], 3)).all()
  
      b = a.narrow(0, 0, 1)
  
      c = nn.NdArray(b.shape)
      c.fill(5)
  
      # Check substitution with NdArray.data
      # Tested only when ctx_name is "cpu", since NdArray.data is implicitly use cpu context.
      if ctx_name != "cpu":
          with pytest.raises(RuntimeError):
              b.data = c.data
      else:
          b.data = c.data
          assert (b.get_data(mode="r") == c.data).all()
          assert (b.get_data(mode="r") == np.full([1, 2], 5)).all()
          assert (a.data[0:1] == b.data).all()
  
imports: import numpy
  import nnabla
  import pytest
  from nnabla.ext_utils import get_extension_context
  import nnabla.functions
label_desc: Use image node_id 9 for calling the TestNdArrayNarrow obj's underlying member method code with example usage: obj.test_nd_array_narrow_copy(ctx_name) without return types