code: def test_set_tensors_from_ndarray_1d(self):
      values = get_tensors_as_ndarray_1d(self.parameters)
      others = np.random.rand(*values.shape).astype(values.dtype)
      with self.assertRaisesRegex(
          RuntimeError, "failed while copying values to"
      ):
          set_tensors_from_ndarray_1d(self.parameters, np.empty([1]))
  
      set_tensors_from_ndarray_1d(self.parameters, others)
      n = 0
      for param in self.parameters.values():
          k = param.numel()
          self.assertTrue(
              np.allclose(
                  others[n : n + k],
                  param.view(-1).detach().cpu().numpy(),
              )
          )
          n += k
  
file_path: botorch/test/optim/utils/test_numpy_utils.py
imports: from __future__ import annotations
  from unittest.mock import MagicMock
  import numpy
  import torch
  from botorch.optim.closures.core import as_ndarray, get_tensors_as_ndarray_1d, set_tensors_from_ndarray_1d
  from botorch.optim.utils import get_bounds_as_ndarray
  from botorch.optim.utils.numpy_utils import torch_to_numpy_dtype_dict
  from botorch.utils.testing import BotorchTestCase
  from torch.nn import Parameter
label_desc: Use image node_id 5 for calling the TestNumpyUtils obj's underlying member method code with example usage: obj.test_set_tensors_from_ndarray_1d() without return types