Use pytest conventions consistently (#6337)
* Do not derive from unittest.TestCase (not needed for pytest) * assertRaises -> pytest.raises * Simplify test_empty_dmatrix with test parametrization * setUpClass -> setup_class, tearDownClass -> teardown_class * Don't import unittest; import pytest * Use plain assert * Use parametrized tests in more places * Fix test_gpu_with_sklearn.py * Put back run_empty_dmatrix_reg / run_empty_dmatrix_cls * Fix test_eta_decay_gpu_hist * Add parametrized tests for monotone constraints * Fix test names * Remove test parametrization * Revise test_slice to be not flaky
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@@ -1,5 +1,4 @@
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import numpy as np
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import unittest
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import xgboost as xgb
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from numpy.testing import assert_approx_equal
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@@ -7,7 +6,7 @@ from numpy.testing import assert_approx_equal
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train_data = xgb.DMatrix(np.array([[1]]), label=np.array([1]))
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class TestTreeRegularization(unittest.TestCase):
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class TestTreeRegularization:
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def test_alpha(self):
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params = {
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'tree_method': 'exact', 'verbosity': 0,
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