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128 lines
4.2 KiB
Python
128 lines
4.2 KiB
Python
import pytest
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from spacy.tokens.doc import Underscore
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import spacy
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from spacy.lang.en import English
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from spacy.tokens import Doc, DocBin
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from ..util import make_tempdir
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def test_serialize_empty_doc(en_vocab):
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doc = Doc(en_vocab)
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data = doc.to_bytes()
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doc2 = Doc(en_vocab)
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doc2.from_bytes(data)
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assert len(doc) == len(doc2)
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for token1, token2 in zip(doc, doc2):
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assert token1.text == token2.text
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def test_serialize_doc_roundtrip_bytes(en_vocab):
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doc = Doc(en_vocab, words=["hello", "world"])
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doc.cats = {"A": 0.5}
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doc_b = doc.to_bytes()
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new_doc = Doc(en_vocab).from_bytes(doc_b)
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assert new_doc.to_bytes() == doc_b
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def test_serialize_doc_roundtrip_disk(en_vocab):
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doc = Doc(en_vocab, words=["hello", "world"])
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with make_tempdir() as d:
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file_path = d / "doc"
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doc.to_disk(file_path)
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doc_d = Doc(en_vocab).from_disk(file_path)
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assert doc.to_bytes() == doc_d.to_bytes()
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def test_serialize_doc_roundtrip_disk_str_path(en_vocab):
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doc = Doc(en_vocab, words=["hello", "world"])
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with make_tempdir() as d:
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file_path = d / "doc"
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file_path = str(file_path)
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doc.to_disk(file_path)
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doc_d = Doc(en_vocab).from_disk(file_path)
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assert doc.to_bytes() == doc_d.to_bytes()
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def test_serialize_doc_exclude(en_vocab):
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doc = Doc(en_vocab, words=["hello", "world"])
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doc.user_data["foo"] = "bar"
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new_doc = Doc(en_vocab).from_bytes(doc.to_bytes())
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assert new_doc.user_data["foo"] == "bar"
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new_doc = Doc(en_vocab).from_bytes(doc.to_bytes(), exclude=["user_data"])
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assert not new_doc.user_data
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new_doc = Doc(en_vocab).from_bytes(doc.to_bytes(exclude=["user_data"]))
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assert not new_doc.user_data
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def test_serialize_doc_span_groups(en_vocab):
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doc = Doc(en_vocab, words=["hello", "world", "!"])
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doc.spans["content"] = [doc[0:2]]
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new_doc = Doc(en_vocab).from_bytes(doc.to_bytes())
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assert len(new_doc.spans["content"]) == 1
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def test_serialize_doc_bin():
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doc_bin = DocBin(attrs=["LEMMA", "ENT_IOB", "ENT_TYPE", "NORM", "ENT_ID"], store_user_data=True)
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texts = ["Some text", "Lots of texts...", "..."]
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cats = {"A": 0.5}
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nlp = English()
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for doc in nlp.pipe(texts):
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doc.cats = cats
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doc.spans["start"] = [doc[0:2]]
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doc[0].norm_ = "UNUSUAL_TOKEN_NORM"
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doc[0].ent_id_ = "UNUSUAL_TOKEN_ENT_ID"
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doc_bin.add(doc)
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bytes_data = doc_bin.to_bytes()
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# Deserialize later, e.g. in a new process
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nlp = spacy.blank("en")
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doc_bin = DocBin().from_bytes(bytes_data)
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reloaded_docs = list(doc_bin.get_docs(nlp.vocab))
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for i, doc in enumerate(reloaded_docs):
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assert doc.text == texts[i]
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assert doc.cats == cats
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assert len(doc.spans) == 1
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assert doc[0].norm_ == "UNUSUAL_TOKEN_NORM"
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assert doc[0].ent_id_ == "UNUSUAL_TOKEN_ENT_ID"
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def test_serialize_doc_bin_unknown_spaces(en_vocab):
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doc1 = Doc(en_vocab, words=["that", "'s"])
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assert doc1.has_unknown_spaces
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assert doc1.text == "that 's "
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doc2 = Doc(en_vocab, words=["that", "'s"], spaces=[False, False])
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assert not doc2.has_unknown_spaces
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assert doc2.text == "that's"
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doc_bin = DocBin().from_bytes(DocBin(docs=[doc1, doc2]).to_bytes())
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re_doc1, re_doc2 = doc_bin.get_docs(en_vocab)
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assert re_doc1.has_unknown_spaces
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assert re_doc1.text == "that 's "
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assert not re_doc2.has_unknown_spaces
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assert re_doc2.text == "that's"
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@pytest.mark.parametrize(
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"writer_flag,reader_flag,reader_value",
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[
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(True, True, "bar"),
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(True, False, "bar"),
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(False, True, "nothing"),
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(False, False, "nothing"),
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],
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)
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def test_serialize_custom_extension(en_vocab, writer_flag, reader_flag, reader_value):
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"""Test that custom extensions are correctly serialized in DocBin."""
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Doc.set_extension("foo", default="nothing")
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doc = Doc(en_vocab, words=["hello", "world"])
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doc._.foo = "bar"
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doc_bin_1 = DocBin(store_user_data=writer_flag)
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doc_bin_1.add(doc)
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doc_bin_bytes = doc_bin_1.to_bytes()
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doc_bin_2 = DocBin(store_user_data=reader_flag).from_bytes(doc_bin_bytes)
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doc_2 = list(doc_bin_2.get_docs(en_vocab))[0]
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assert doc_2._.foo == reader_value
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Underscore.doc_extensions = {}
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