code: def test_check_increasing_up():
      x = [0, 1, 2, 3, 4, 5]
      y = [0, 1.5, 2.77, 8.99, 8.99, 50]
  
      # Check that we got increasing=True and no warnings
      with warnings.catch_warnings():
          warnings.simplefilter("error", UserWarning)
          is_increasing = check_increasing(x, y)
  
      assert is_increasing
  
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 3 for calling a global function with example usage: test_check_increasing_up() without return types