mirror of https://github.com/explosion/spaCy.git
196 lines
6.9 KiB
Python
196 lines
6.9 KiB
Python
import pickle
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import pytest
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from thinc.api import get_current_ops
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import spacy
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from spacy.lang.en import English
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from spacy.strings import StringStore
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from spacy.tokens import Doc
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from spacy.util import ensure_path, load_model
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from spacy.vectors import Vectors
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from spacy.vocab import Vocab
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from ..util import make_tempdir
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test_strings = [([], []), (["rats", "are", "cute"], ["i", "like", "rats"])]
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test_strings_attrs = [(["rats", "are", "cute"], "Hello")]
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@pytest.mark.issue(599)
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def test_issue599(en_vocab):
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doc = Doc(en_vocab)
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doc2 = Doc(doc.vocab)
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doc2.from_bytes(doc.to_bytes())
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assert doc2.has_annotation("DEP")
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@pytest.mark.issue(4054)
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def test_issue4054(en_vocab):
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"""Test that a new blank model can be made with a vocab from file,
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and that serialization does not drop the language at any point."""
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nlp1 = English()
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vocab1 = nlp1.vocab
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with make_tempdir() as d:
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vocab_dir = ensure_path(d / "vocab")
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if not vocab_dir.exists():
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vocab_dir.mkdir()
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vocab1.to_disk(vocab_dir)
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vocab2 = Vocab().from_disk(vocab_dir)
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nlp2 = spacy.blank("en", vocab=vocab2)
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nlp_dir = ensure_path(d / "nlp")
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if not nlp_dir.exists():
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nlp_dir.mkdir()
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nlp2.to_disk(nlp_dir)
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nlp3 = load_model(nlp_dir)
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assert nlp3.lang == "en"
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@pytest.mark.issue(4133)
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def test_issue4133(en_vocab):
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nlp = English()
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vocab_bytes = nlp.vocab.to_bytes()
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words = ["Apple", "is", "looking", "at", "buying", "a", "startup"]
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pos = ["NOUN", "VERB", "ADP", "VERB", "PROPN", "NOUN", "ADP"]
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doc = Doc(en_vocab, words=words)
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for i, token in enumerate(doc):
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token.pos_ = pos[i]
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# usually this is already True when starting from proper models instead of blank English
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doc_bytes = doc.to_bytes()
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vocab = Vocab()
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vocab = vocab.from_bytes(vocab_bytes)
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doc = Doc(vocab).from_bytes(doc_bytes)
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actual = []
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for token in doc:
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actual.append(token.pos_)
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assert actual == pos
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@pytest.mark.parametrize("text", ["rat"])
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def test_serialize_vocab(en_vocab, text):
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text_hash = en_vocab.strings.add(text)
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vocab_bytes = en_vocab.to_bytes(exclude=["lookups"])
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new_vocab = Vocab().from_bytes(vocab_bytes)
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assert new_vocab.strings[text_hash] == text
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assert new_vocab.to_bytes(exclude=["lookups"]) == vocab_bytes
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@pytest.mark.parametrize("strings1,strings2", test_strings)
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def test_serialize_vocab_roundtrip_bytes(strings1, strings2):
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vocab1 = Vocab(strings=strings1)
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vocab2 = Vocab(strings=strings2)
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vocab1_b = vocab1.to_bytes()
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vocab2_b = vocab2.to_bytes()
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if strings1 == strings2:
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assert vocab1_b == vocab2_b
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else:
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assert vocab1_b != vocab2_b
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vocab1 = vocab1.from_bytes(vocab1_b)
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assert vocab1.to_bytes() == vocab1_b
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new_vocab1 = Vocab().from_bytes(vocab1_b)
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assert new_vocab1.to_bytes() == vocab1_b
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assert len(new_vocab1.strings) == len(strings1)
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assert sorted([s for s in new_vocab1.strings]) == sorted(strings1)
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@pytest.mark.parametrize("strings1,strings2", test_strings)
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def test_serialize_vocab_roundtrip_disk(strings1, strings2):
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vocab1 = Vocab(strings=strings1)
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vocab2 = Vocab(strings=strings2)
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with make_tempdir() as d:
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file_path1 = d / "vocab1"
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file_path2 = d / "vocab2"
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vocab1.to_disk(file_path1)
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vocab2.to_disk(file_path2)
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vocab1_d = Vocab().from_disk(file_path1)
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vocab2_d = Vocab().from_disk(file_path2)
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# check strings rather than lexemes, which are only reloaded on demand
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assert set(strings1) == set([s for s in vocab1_d.strings])
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assert set(strings2) == set([s for s in vocab2_d.strings])
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if set(strings1) == set(strings2):
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assert [s for s in vocab1_d.strings] == [s for s in vocab2_d.strings]
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else:
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assert [s for s in vocab1_d.strings] != [s for s in vocab2_d.strings]
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_serialize_vocab_lex_attrs_bytes(strings, lex_attr):
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vocab1 = Vocab(strings=strings)
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vocab2 = Vocab()
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vocab1[strings[0]].norm_ = lex_attr
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assert vocab1[strings[0]].norm_ == lex_attr
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assert vocab2[strings[0]].norm_ != lex_attr
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vocab2 = vocab2.from_bytes(vocab1.to_bytes())
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assert vocab2[strings[0]].norm_ == lex_attr
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_deserialize_vocab_seen_entries(strings, lex_attr):
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# Reported in #2153
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vocab = Vocab(strings=strings)
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vocab.from_bytes(vocab.to_bytes())
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assert len(vocab.strings) == len(strings)
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_serialize_vocab_lex_attrs_disk(strings, lex_attr):
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vocab1 = Vocab(strings=strings)
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vocab2 = Vocab()
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vocab1[strings[0]].norm_ = lex_attr
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assert vocab1[strings[0]].norm_ == lex_attr
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assert vocab2[strings[0]].norm_ != lex_attr
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with make_tempdir() as d:
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file_path = d / "vocab"
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vocab1.to_disk(file_path)
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vocab2 = vocab2.from_disk(file_path)
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assert vocab2[strings[0]].norm_ == lex_attr
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@pytest.mark.parametrize("strings1,strings2", test_strings)
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def test_serialize_stringstore_roundtrip_bytes(strings1, strings2):
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sstore1 = StringStore(strings=strings1)
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sstore2 = StringStore(strings=strings2)
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sstore1_b = sstore1.to_bytes()
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sstore2_b = sstore2.to_bytes()
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if set(strings1) == set(strings2):
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assert sstore1_b == sstore2_b
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else:
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assert sstore1_b != sstore2_b
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sstore1 = sstore1.from_bytes(sstore1_b)
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assert sstore1.to_bytes() == sstore1_b
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new_sstore1 = StringStore().from_bytes(sstore1_b)
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assert new_sstore1.to_bytes() == sstore1_b
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assert set(new_sstore1) == set(strings1)
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@pytest.mark.parametrize("strings1,strings2", test_strings)
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def test_serialize_stringstore_roundtrip_disk(strings1, strings2):
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sstore1 = StringStore(strings=strings1)
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sstore2 = StringStore(strings=strings2)
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with make_tempdir() as d:
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file_path1 = d / "strings1"
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file_path2 = d / "strings2"
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sstore1.to_disk(file_path1)
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sstore2.to_disk(file_path2)
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sstore1_d = StringStore().from_disk(file_path1)
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sstore2_d = StringStore().from_disk(file_path2)
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assert set(sstore1_d) == set(sstore1)
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assert set(sstore2_d) == set(sstore2)
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if set(strings1) == set(strings2):
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assert set(sstore1_d) == set(sstore2_d)
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else:
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assert set(sstore1_d) != set(sstore2_d)
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@pytest.mark.parametrize("strings,lex_attr", test_strings_attrs)
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def test_pickle_vocab(strings, lex_attr):
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vocab = Vocab(strings=strings)
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ops = get_current_ops()
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vectors = Vectors(data=ops.xp.zeros((10, 10)), mode="floret", hash_count=1)
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vocab.vectors = vectors
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vocab[strings[0]].norm_ = lex_attr
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vocab_pickled = pickle.dumps(vocab)
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vocab_unpickled = pickle.loads(vocab_pickled)
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assert vocab.to_bytes() == vocab_unpickled.to_bytes()
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assert vocab_unpickled.vectors.mode == "floret"
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