explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-04-21 17:41:59 +03:00
Code Issues Packages Projects Releases Wiki Activity

black

Browse Source
This commit is contained in:
kadarakos 2023-06-01 10:20:14 +00:00
parent 6f750d0da6
commit af802257f2
1 changed files with 11 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
spacy/tests/pipeline/test_span_finder.py
View File

@ -191,10 +191,7 @@ def test_set_annotations_span_lengths(min_length, max_length, span_count):
if min_length is None:
min_length = 1
assert all(
min_length <= len(span) <= max_length
for span in doc.spans[SPANS_KEY]
)
assert all(min_length <= len(span) <= max_length for span in doc.spans[SPANS_KEY])
def test_span_finder_suggester():
@ -240,7 +237,11 @@ def test_overfitting_IO():
doc = nlp(test_text)
spans = doc.spans[span_finder.spans_key]
assert len(spans) == 3
assert set([span.text for span in spans]) == {"London", "Berlin", "London and Berlin"}
assert set([span.text for span in spans]) == {
"London",
"Berlin",
"London and Berlin",
}
# Also test the results are still the same after IO
with make_tempdir() as tmp_dir:
@ -249,7 +250,11 @@ def test_overfitting_IO():
doc2 = nlp2(test_text)
spans2 = doc2.spans[span_finder.spans_key]
assert len(spans2) == 3
assert set([span.text for span in spans2]) == {"London", "Berlin", "London and Berlin"}
assert set([span.text for span in spans2]) == {
"London",
"Berlin",
"London and Berlin",
}
# Test scoring
scores = nlp.evaluate(train_examples)