code: def test_returns_ones_and_correct_shape(self):
      train_X = torch.rand(15, 1, device=self.device)
      scores = self.quality_function(train_X)
      self.assertTrue(
          torch.equal(scores, torch.ones([15], device=self.device))
      )
  
imports: import gc
  import torch
  from botorch.exceptions.errors import UnsupportedError
  from botorch.models.approximate_gp import SingleTaskVariationalGP
  from botorch.models.utils.inducing_point_allocators import _pivoted_cholesky_init, ExpectedImprovementQualityFunction, GreedyImprovementReduction, GreedyVarianceReduction, UnitQualityFunction
  from botorch.utils.testing import BotorchTestCase
  from gpytorch.kernels import MaternKernel, ScaleKernel
  from gpytorch.likelihoods import GaussianLikelihood
  from gpytorch.mlls import VariationalELBO
label_desc: Use image node_id 2 for calling the TestUnitQualityFunction obj's underlying member method code with example usage: obj.test_returns_ones_and_correct_shape() without return types