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Convert input to str for hypothesis note. (#9480)

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This commit is contained in:
Jiaming Yuan
2023-08-15 02:27:58 +08:00
committed by GitHub
parent e3f624d8e7
commit 19b59938b7
4 changed files with 12 additions and 12 deletions
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12
tests/python/test_updaters.py
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@@ -58,7 +58,7 @@ class TestTreeMethodMulti:
param.update(hist_param)
param.update(cache_param)
result = train_result(param, dataset.get_dmat(), num_rounds)
note(result)
note(str(result))
assert tm.non_increasing(result["train"][dataset.metric])
@given(
@@ -84,7 +84,7 @@ class TestTreeMethodMulti:
param.update(hist_param)
param.update(cache_param)
result = train_result(param, dataset.get_dmat(), num_rounds)
note(result)
note(str(result))
assert tm.non_increasing(result["train"][dataset.metric])
@@ -125,7 +125,7 @@ class TestTreeMethod:
param.update(hist_param)
param.update(cache_param)
result = train_result(param, dataset.get_dmat(), num_rounds)
note(result)
note(str(result))
assert tm.non_increasing(result["train"][dataset.metric])
@pytest.mark.skipif(**tm.no_sklearn())
@@ -172,7 +172,7 @@ class TestTreeMethod:
param.update(hist_param)
param.update(cache_param)
result = train_result(param, dataset.get_dmat(), num_rounds)
note(result)
note(str(result))
assert tm.non_increasing(result["train"][dataset.metric])
def test_hist_categorical(self):
@@ -224,12 +224,12 @@ class TestTreeMethod:
def test_sparse(self, dataset):
param = {"tree_method": "hist", "max_bin": 64}
hist_result = train_result(param, dataset.get_dmat(), 16)
note(hist_result)
note(str(hist_result))
assert tm.non_increasing(hist_result['train'][dataset.metric])
param = {"tree_method": "approx", "max_bin": 64}
approx_result = train_result(param, dataset.get_dmat(), 16)
note(approx_result)
note(str(approx_result))
assert tm.non_increasing(approx_result['train'][dataset.metric])
np.testing.assert_allclose(