code: def test_isotonic_duplicate_min_entry():
      x = [0, 0, 1]
      y = [0, 0, 1]
  
      ir = IsotonicRegression(increasing=True, out_of_bounds="clip")
      ir.fit(x, y)
      all_predictions_finite = np.all(np.isfinite(ir.predict(x)))
      assert all_predictions_finite
  
imports: import copy
  import pickle
  import warnings
  import numpy
  import pytest
  from scipy.special import expit
  import sklearn
  from sklearn.datasets import make_regression
  from sklearn.isotonic import IsotonicRegression, _make_unique, check_increasing, isotonic_regression
  from sklearn.utils import shuffle
  from sklearn.utils._testing import assert_allclose, assert_array_almost_equal, assert_array_equal
  from sklearn.utils.validation import check_array
label_desc: Use image node_id 24 for calling a global function with example usage: test_isotonic_duplicate_min_entry() without return types