code: def test_nuclear_norm_minimization_with_low_rank_random_matrix():
      solver = NuclearNormMinimization(max_iters=2000)
      XY_completed = solver.fit_transform(XY_incomplete[:100])
      _, missing_mae = reconstruction_error(
          XY[:100], XY_completed, missing_mask[:100], name="NuclearNorm"
      )
      assert missing_mae < 0.1, "Error too high!"
  
imports: from fancyimpute import NuclearNormMinimization
  import numpy
  from low_rank_data import XY, XY_incomplete, missing_mask
  from common import reconstruction_error
label_desc: Use image node_id 4 for calling a global function with example usage: test_nuclear_norm_minimization_with_low_rank_random_matrix() without return types