Import data lazily during tests. (#9176)

This commit is contained in:
Jiaming Yuan
2023-05-23 03:58:31 +08:00
committed by GitHub
parent 6274fba0a5
commit 3913ff470f
8 changed files with 66 additions and 51 deletions

View File

@@ -265,8 +265,9 @@ class TestGPUPredict:
base_margin = cudf.Series(rng.randn(rows))
self.run_inplace_base_margin(booster, dtrain, X, base_margin)
@given(strategies.integers(1, 10),
tm.dataset_strategy, shap_parameter_strategy)
@given(
strategies.integers(1, 10), tm.make_dataset_strategy(), shap_parameter_strategy
)
@settings(deadline=None, max_examples=20, print_blob=True)
def test_shap(self, num_rounds, dataset, param):
if dataset.name.endswith("-l1"): # not supported by the exact tree method
@@ -281,8 +282,9 @@ class TestGPUPredict:
assume(len(dataset.y) > 0)
assert np.allclose(np.sum(shap, axis=len(shap.shape) - 1), margin, 1e-3, 1e-3)
@given(strategies.integers(1, 10),
tm.dataset_strategy, shap_parameter_strategy)
@given(
strategies.integers(1, 10), tm.make_dataset_strategy(), shap_parameter_strategy
)
@settings(deadline=None, max_examples=10, print_blob=True)
def test_shap_interactions(self, num_rounds, dataset, param):
if dataset.name.endswith("-l1"): # not supported by the exact tree method
@@ -335,7 +337,7 @@ class TestGPUPredict:
np.testing.assert_equal(cpu_leaf, gpu_leaf)
@given(predict_parameter_strategy, tm.dataset_strategy)
@given(predict_parameter_strategy, tm.make_dataset_strategy())
@settings(deadline=None, max_examples=20, print_blob=True)
def test_predict_leaf_gbtree(self, param, dataset):
# Unsupported for random forest
@@ -346,7 +348,7 @@ class TestGPUPredict:
param['tree_method'] = 'gpu_hist'
self.run_predict_leaf_booster(param, 10, dataset)
@given(predict_parameter_strategy, tm.dataset_strategy)
@given(predict_parameter_strategy, tm.make_dataset_strategy())
@settings(deadline=None, max_examples=20, print_blob=True)
def test_predict_leaf_dart(self, param: dict, dataset: tm.TestDataset) -> None:
# Unsupported for random forest