code: def test_digits_sqrt_modular_object():
      model = FeatureBasedSelection(
          100, "sqrt", optimizer=ModularGreedy(random_state=0)
      )
      model.fit(X_digits)
      assert_array_equal(model.ranking, digits_sqrt_modular_ranking)
      assert_array_almost_equal(
          model.gains, digits_sqrt_modular_gains, 4
      )
      assert_array_almost_equal(model.subset, X_digits[model.ranking])
  
imports: import scipy
  import numpy
  from apricot import FeatureBasedSelection
  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 41 for calling a global function with example usage: test_digits_sqrt_modular_object() without return types