8000 TST use global_random_seed in sklearn/feature_extraction/tests/test_dict_vectorizer.py by rusdes · Pull Request #24533 · scikit-learn/scikit-learn · GitHub
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TST use global_random_seed in sklearn/feature_extraction/tests/test_dict_vectorizer.py #24533

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Merged
merged 9 commits into from
Mar 15, 2023
Merged

TST use global_random_seed in sklearn/feature_extraction/tests/test_dict_vectorizer.py #24533

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bb918b3
changed wordings to match implementation
rusdes Sep 17, 2022
e7449bd
fixed second instance
rusdes Sep 19, 2022
80c5cad
added global random seeds
rusdes Sep 28, 2022
640e4df
fix
rusdes Oct 29, 2022
b21926e
Merge remote-tracking branch 'upstream/main' into global_seeds_dict_v…
rusdes Oct 29, 2022
b4f81f8
Delete _radius_neighborhood.pyx
rusdes Oct 29, 2022
1cbdcba
Delete _radius_neighborhood.pxd
rusdes Oct 29, 2022
a5ed417
Merge remote-tracking branch 'upstream/main' into pr/rusdes/24533
jeremiedbb Mar 15, 2023
bab5128
[all random seeds]
jeremiedbb Mar 15, 2023
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4 changes: 2 additions & 2 deletions sklearn/feature_extraction/tests/test_dict_vectorizer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -145,10 +145,10 @@ def test_unseen_or_no_features():
v.transform([])


def test_deterministic_vocabulary():
def test_deterministic_vocabulary(global_random_seed):
# Generate equal dictionaries with different memory layouts
items = [("%03d" % i, i) for i in range(1000)]
rng = Random(42)
rng = Random(global_random_seed)
d_sorted = dict(items)
rng.shuffle(items)
d_shuffled = dict(items)
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