code: def test_digits_greedi_ll_object():
      model = MaxCoverageSelection(
          100,
          optimizer=GreeDi(
              optimizer1="lazy", optimizer2="lazy", random_state=0
          ),
      )
      model.fit(X_digits)
      assert_array_equal(model.ranking[:2], digits_ranking[:2])
      assert_array_almost_equal(model.gains[:2], digits_gains[:2], 4)
      assert_array_almost_equal(model.subset, X_digits[model.ranking])
  
imports: import scipy
  import numpy
  from apricot import MaxCoverageSelection
  from apricot.optimizers import *
  from sklearn.datasets import load_digits
  from sklearn.metrics import pairwise_distances
  from numpy.testing import assert_almost_equal
  from numpy.testing import assert_array_equal
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 23 for calling a global function with example usage: test_digits_greedi_ll_object() without return types