mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 13:47:13 +03:00
3c36a57e84
* Draft lower-case augmenter * Make warning a debug log * Update lowercase augmenter, docs and tests Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
101 lines
3.8 KiB
Python
101 lines
3.8 KiB
Python
import pytest
|
||
from spacy.training import Corpus
|
||
from spacy.training.augment import create_orth_variants_augmenter
|
||
from spacy.training.augment import create_lower_casing_augmenter
|
||
from spacy.lang.en import English
|
||
from spacy.tokens import DocBin, Doc
|
||
from contextlib import contextmanager
|
||
import random
|
||
|
||
from ..util import make_tempdir
|
||
|
||
|
||
@contextmanager
|
||
def make_docbin(docs, name="roundtrip.spacy"):
|
||
with make_tempdir() as tmpdir:
|
||
output_file = tmpdir / name
|
||
DocBin(docs=docs).to_disk(output_file)
|
||
yield output_file
|
||
|
||
|
||
@pytest.fixture
|
||
def nlp():
|
||
return English()
|
||
|
||
|
||
@pytest.fixture
|
||
def doc(nlp):
|
||
# fmt: off
|
||
words = ["Sarah", "'s", "sister", "flew", "to", "Silicon", "Valley", "via", "London", "."]
|
||
tags = ["NNP", "POS", "NN", "VBD", "IN", "NNP", "NNP", "IN", "NNP", "."]
|
||
pos = ["PROPN", "PART", "NOUN", "VERB", "ADP", "PROPN", "PROPN", "ADP", "PROPN", "PUNCT"]
|
||
ents = ["B-PERSON", "I-PERSON", "O", "O", "O", "B-LOC", "I-LOC", "O", "B-GPE", "O"]
|
||
cats = {"TRAVEL": 1.0, "BAKING": 0.0}
|
||
# fmt: on
|
||
doc = Doc(nlp.vocab, words=words, tags=tags, pos=pos, ents=ents)
|
||
doc.cats = cats
|
||
return doc
|
||
|
||
|
||
@pytest.mark.filterwarnings("ignore::UserWarning")
|
||
def test_make_orth_variants(nlp, doc):
|
||
single = [
|
||
{"tags": ["NFP"], "variants": ["…", "..."]},
|
||
{"tags": [":"], "variants": ["-", "—", "–", "--", "---", "——"]},
|
||
]
|
||
augmenter = create_orth_variants_augmenter(
|
||
level=0.2, lower=0.5, orth_variants={"single": single}
|
||
)
|
||
with make_docbin([doc]) as output_file:
|
||
reader = Corpus(output_file, augmenter=augmenter)
|
||
# Due to randomness, only test that it works without errors for now
|
||
list(reader(nlp))
|
||
|
||
|
||
def test_lowercase_augmenter(nlp, doc):
|
||
augmenter = create_lower_casing_augmenter(level=1.0)
|
||
with make_docbin([doc]) as output_file:
|
||
reader = Corpus(output_file, augmenter=augmenter)
|
||
corpus = list(reader(nlp))
|
||
eg = corpus[0]
|
||
assert eg.reference.text == doc.text.lower()
|
||
assert eg.predicted.text == doc.text.lower()
|
||
ents = [(e.start, e.end, e.label) for e in doc.ents]
|
||
assert [(e.start, e.end, e.label) for e in eg.reference.ents] == ents
|
||
for ref_ent, orig_ent in zip(eg.reference.ents, doc.ents):
|
||
assert ref_ent.text == orig_ent.text.lower()
|
||
assert [t.pos_ for t in eg.reference] == [t.pos_ for t in doc]
|
||
|
||
|
||
@pytest.mark.filterwarnings("ignore::UserWarning")
|
||
def test_custom_data_augmentation(nlp, doc):
|
||
def create_spongebob_augmenter(randomize: bool = False):
|
||
def augment(nlp, example):
|
||
text = example.text
|
||
if randomize:
|
||
ch = [c.lower() if random.random() < 0.5 else c.upper() for c in text]
|
||
else:
|
||
ch = [c.lower() if i % 2 else c.upper() for i, c in enumerate(text)]
|
||
example_dict = example.to_dict()
|
||
doc = nlp.make_doc("".join(ch))
|
||
example_dict["token_annotation"]["ORTH"] = [t.text for t in doc]
|
||
yield example
|
||
yield example.from_dict(doc, example_dict)
|
||
|
||
return augment
|
||
|
||
with make_docbin([doc]) as output_file:
|
||
reader = Corpus(output_file, augmenter=create_spongebob_augmenter())
|
||
corpus = list(reader(nlp))
|
||
orig_text = "Sarah 's sister flew to Silicon Valley via London . "
|
||
augmented = "SaRaH 's sIsTeR FlEw tO SiLiCoN VaLlEy vIa lOnDoN . "
|
||
assert corpus[0].text == orig_text
|
||
assert corpus[0].reference.text == orig_text
|
||
assert corpus[0].predicted.text == orig_text
|
||
assert corpus[1].text == augmented
|
||
assert corpus[1].reference.text == augmented
|
||
assert corpus[1].predicted.text == augmented
|
||
ents = [(e.start, e.end, e.label) for e in doc.ents]
|
||
assert [(e.start, e.end, e.label) for e in corpus[0].reference.ents] == ents
|
||
assert [(e.start, e.end, e.label) for e in corpus[1].reference.ents] == ents
|