mirror of
https://github.com/explosion/spaCy.git
synced 2024-12-26 01:46:28 +03:00
36ecba224e
* Set up CI for tests with GPU agent * Update tests for enabled GPU * Fix steps filename * Add parallel build jobs as a setting * Fix test requirements * Fix install test requirements condition * Fix pipeline models test * Reset current ops in prefer/require testing * Fix more tests * Remove separate test_models test * Fix regression 5551 * fix StaticVectors for GPU use * fix vocab tests * Fix regression test 5082 * Move azure steps to .github and reenable default pool jobs * Consolidate/rename azure steps Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
93 lines
3.4 KiB
Python
93 lines
3.4 KiB
Python
import pytest
|
|
from numpy.testing import assert_almost_equal
|
|
from thinc.api import Config, fix_random_seed, get_current_ops
|
|
|
|
from spacy.lang.en import English
|
|
from spacy.pipeline.textcat import single_label_default_config, single_label_bow_config
|
|
from spacy.pipeline.textcat import single_label_cnn_config
|
|
from spacy.pipeline.textcat_multilabel import multi_label_default_config
|
|
from spacy.pipeline.textcat_multilabel import multi_label_bow_config
|
|
from spacy.pipeline.textcat_multilabel import multi_label_cnn_config
|
|
from spacy.tokens import Span
|
|
from spacy import displacy
|
|
from spacy.pipeline import merge_entities
|
|
from spacy.training import Example
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"textcat_config",
|
|
[
|
|
single_label_default_config,
|
|
single_label_bow_config,
|
|
single_label_cnn_config,
|
|
multi_label_default_config,
|
|
multi_label_bow_config,
|
|
multi_label_cnn_config,
|
|
],
|
|
)
|
|
def test_issue5551(textcat_config):
|
|
"""Test that after fixing the random seed, the results of the pipeline are truly identical"""
|
|
component = "textcat"
|
|
|
|
pipe_cfg = Config().from_str(textcat_config)
|
|
results = []
|
|
for i in range(3):
|
|
fix_random_seed(0)
|
|
nlp = English()
|
|
text = "Once hot, form ping-pong-ball-sized balls of the mixture, each weighing roughly 25 g."
|
|
annots = {"cats": {"Labe1": 1.0, "Label2": 0.0, "Label3": 0.0}}
|
|
pipe = nlp.add_pipe(component, config=pipe_cfg, last=True)
|
|
for label in set(annots["cats"]):
|
|
pipe.add_label(label)
|
|
# Train
|
|
nlp.initialize()
|
|
doc = nlp.make_doc(text)
|
|
nlp.update([Example.from_dict(doc, annots)])
|
|
# Store the result of each iteration
|
|
result = pipe.model.predict([doc])
|
|
results.append(result[0])
|
|
# All results should be the same because of the fixed seed
|
|
assert len(results) == 3
|
|
ops = get_current_ops()
|
|
assert_almost_equal(ops.to_numpy(results[0]), ops.to_numpy(results[1]))
|
|
assert_almost_equal(ops.to_numpy(results[0]), ops.to_numpy(results[2]))
|
|
|
|
|
|
def test_issue5838():
|
|
# Displacy's EntityRenderer break line
|
|
# not working after last entity
|
|
sample_text = "First line\nSecond line, with ent\nThird line\nFourth line\n"
|
|
nlp = English()
|
|
doc = nlp(sample_text)
|
|
doc.ents = [Span(doc, 7, 8, label="test")]
|
|
html = displacy.render(doc, style="ent")
|
|
found = html.count("</br>")
|
|
assert found == 4
|
|
|
|
|
|
def test_issue5918():
|
|
# Test edge case when merging entities.
|
|
nlp = English()
|
|
ruler = nlp.add_pipe("entity_ruler")
|
|
patterns = [
|
|
{"label": "ORG", "pattern": "Digicon Inc"},
|
|
{"label": "ORG", "pattern": "Rotan Mosle Inc's"},
|
|
{"label": "ORG", "pattern": "Rotan Mosle Technology Partners Ltd"},
|
|
]
|
|
ruler.add_patterns(patterns)
|
|
|
|
text = """
|
|
Digicon Inc said it has completed the previously-announced disposition
|
|
of its computer systems division to an investment group led by
|
|
Rotan Mosle Inc's Rotan Mosle Technology Partners Ltd affiliate.
|
|
"""
|
|
doc = nlp(text)
|
|
assert len(doc.ents) == 3
|
|
# make it so that the third span's head is within the entity (ent_iob=I)
|
|
# bug #5918 would wrongly transfer that I to the full entity, resulting in 2 instead of 3 final ents.
|
|
# TODO: test for logging here
|
|
# with pytest.warns(UserWarning):
|
|
# doc[29].head = doc[33]
|
|
doc = merge_entities(doc)
|
|
assert len(doc.ents) == 3
|