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Remove flaky assertions. (#12210)

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Raphael Mitsch 2023-01-31 16:52:06 +01:00 committed by GitHub
parent 0e51c918ae
commit 02af17a5c8
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1 changed files with 3 additions and 9 deletions
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spacy/tests/test_cli.py
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@ -1017,8 +1017,6 @@ def test_local_remote_storage_pull_missing():
def test_cli_find_threshold(capsys):
thresholds = numpy.linspace(0, 1, 10)
def make_examples(nlp: Language) -> List[Example]:
docs: List[Example] = []
@ -1082,8 +1080,6 @@ def test_cli_find_threshold(capsys):
scores_key="cats_macro_f",
silent=True,
)
assert best_threshold != thresholds[0]
assert thresholds[0] < best_threshold < thresholds[9]
assert best_score == max(res.values())
assert res[1.0] == 0.0
@ -1091,7 +1087,7 @@ def test_cli_find_threshold(capsys):
nlp, _ = init_nlp((("spancat", {}),))
with make_tempdir() as nlp_dir:
nlp.to_disk(nlp_dir)
res = find_threshold(
best_threshold, best_score, res = find_threshold(
model=nlp_dir,
data_path=docs_dir / "docs.spacy",
pipe_name="spancat",
@ -1099,10 +1095,8 @@ def test_cli_find_threshold(capsys):
scores_key="spans_sc_f",
silent=True,
)
assert res[0] != thresholds[0]
assert thresholds[0] < res[0] < thresholds[8]
assert res[1] >= 0.6
assert res[2][1.0] == 0.0
assert best_score == max(res.values())
assert res[1.0] == 0.0
# Having multiple textcat_multilabel components should work, since the name has to be specified.
nlp, _ = init_nlp((("textcat_multilabel", {}),))