import numpy import pytest from spacy.attrs import DEP, MORPH, ORTH, POS, SHAPE from spacy.tokens import Doc @pytest.mark.issue(2203) def test_issue2203(en_vocab): """Test that lemmas are set correctly in doc.from_array.""" words = ["I", "'ll", "survive"] tags = ["PRP", "MD", "VB"] lemmas = ["-PRON-", "will", "survive"] tag_ids = [en_vocab.strings.add(tag) for tag in tags] lemma_ids = [en_vocab.strings.add(lemma) for lemma in lemmas] doc = Doc(en_vocab, words=words) # Work around lemma corruption problem and set lemmas after tags doc.from_array("TAG", numpy.array(tag_ids, dtype="uint64")) doc.from_array("LEMMA", numpy.array(lemma_ids, dtype="uint64")) assert [t.tag_ for t in doc] == tags assert [t.lemma_ for t in doc] == lemmas # We need to serialize both tag and lemma, since this is what causes the bug doc_array = doc.to_array(["TAG", "LEMMA"]) new_doc = Doc(doc.vocab, words=words).from_array(["TAG", "LEMMA"], doc_array) assert [t.tag_ for t in new_doc] == tags assert [t.lemma_ for t in new_doc] == lemmas def test_doc_array_attr_of_token(en_vocab): doc = Doc(en_vocab, words=["An", "example", "sentence"]) example = doc.vocab["example"] assert example.orth != example.shape feats_array = doc.to_array((ORTH, SHAPE)) assert feats_array[0][0] != feats_array[0][1] assert feats_array[0][0] != feats_array[0][1] def test_doc_stringy_array_attr_of_token(en_vocab): doc = Doc(en_vocab, words=["An", "example", "sentence"]) example = doc.vocab["example"] assert example.orth != example.shape feats_array = doc.to_array((ORTH, SHAPE)) feats_array_stringy = doc.to_array(("ORTH", "SHAPE")) assert feats_array_stringy[0][0] == feats_array[0][0] assert feats_array_stringy[0][1] == feats_array[0][1] def test_doc_scalar_attr_of_token(en_vocab): doc = Doc(en_vocab, words=["An", "example", "sentence"]) example = doc.vocab["example"] assert example.orth != example.shape feats_array = doc.to_array(ORTH) assert feats_array.shape == (3,) def test_doc_array_tag(en_vocab): words = ["A", "nice", "sentence", "."] pos = ["DET", "ADJ", "NOUN", "PUNCT"] doc = Doc(en_vocab, words=words, pos=pos) assert doc[0].pos != doc[1].pos != doc[2].pos != doc[3].pos feats_array = doc.to_array((ORTH, POS)) assert feats_array[0][1] == doc[0].pos assert feats_array[1][1] == doc[1].pos assert feats_array[2][1] == doc[2].pos assert feats_array[3][1] == doc[3].pos def test_doc_array_morph(en_vocab): words = ["Eat", "blue", "ham"] morph = ["Feat=V", "Feat=J", "Feat=N"] doc = Doc(en_vocab, words=words, morphs=morph) assert morph[0] == str(doc[0].morph) assert morph[1] == str(doc[1].morph) assert morph[2] == str(doc[2].morph) feats_array = doc.to_array((ORTH, MORPH)) assert feats_array[0][1] == doc[0].morph.key assert feats_array[1][1] == doc[1].morph.key assert feats_array[2][1] == doc[2].morph.key def test_doc_array_dep(en_vocab): words = ["A", "nice", "sentence", "."] deps = ["det", "amod", "ROOT", "punct"] doc = Doc(en_vocab, words=words, deps=deps) feats_array = doc.to_array((ORTH, DEP)) assert feats_array[0][1] == doc[0].dep assert feats_array[1][1] == doc[1].dep assert feats_array[2][1] == doc[2].dep assert feats_array[3][1] == doc[3].dep @pytest.mark.parametrize("attrs", [["ORTH", "SHAPE"], "IS_ALPHA"]) def test_doc_array_to_from_string_attrs(en_vocab, attrs): """Test that both Doc.to_array and Doc.from_array accept string attrs, as well as single attrs and sequences of attrs. """ words = ["An", "example", "sentence"] doc = Doc(en_vocab, words=words) Doc(en_vocab, words=words).from_array(attrs, doc.to_array(attrs)) def test_doc_array_idx(en_vocab): """Test that Doc.to_array can retrieve token start indices""" words = ["An", "example", "sentence"] offsets = Doc(en_vocab, words=words).to_array("IDX") assert offsets[0] == 0 assert offsets[1] == 3 assert offsets[2] == 11 def test_doc_from_array_heads_in_bounds(en_vocab): """Test that Doc.from_array doesn't set heads that are out of bounds.""" words = ["This", "is", "a", "sentence", "."] doc = Doc(en_vocab, words=words) for token in doc: token.head = doc[0] # correct arr = doc.to_array(["HEAD"]) doc_from_array = Doc(en_vocab, words=words) doc_from_array.from_array(["HEAD"], arr) # head before start arr = doc.to_array(["HEAD"]) arr[0] = numpy.int32(-1).astype(numpy.uint64) doc_from_array = Doc(en_vocab, words=words) with pytest.raises(ValueError): doc_from_array.from_array(["HEAD"], arr) # head after end arr = doc.to_array(["HEAD"]) arr[0] = numpy.int32(5).astype(numpy.uint64) doc_from_array = Doc(en_vocab, words=words) with pytest.raises(ValueError): doc_from_array.from_array(["HEAD"], arr)