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test_token_api.py
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# coding: utf-8 from __future__ import unicode_literals import pytest import numpy from spacy.attrs import IS_ALPHA, IS_DIGIT, IS_LOWER, IS_PUNCT, IS_TITLE, IS_STOP from spacy.symbols import VERB from spacy.vocab import Vocab from spacy.tokens import Doc from ..util import get_doc @pytest.fixture def doc(en_tokenizer): # fmt: off text = "This is a sentence. This is another sentence. And a third." heads = [1, 0, 1, -2, -3, 1, 0, 1, -2, -3, 0, 1, -2, -1] deps = ["nsubj", "ROOT", "det", "attr", "punct", "nsubj", "ROOT", "det", "attr", "punct", "ROOT", "det", "npadvmod", "punct"] # fmt: on tokens = en_tokenizer(text) return get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads, deps=deps) def test_doc_token_api_strings(en_tokenizer): text = "Give it back! He pleaded." pos = ["VERB", "PRON", "PART", "PUNCT", "PRON", "VERB", "PUNCT"] heads = [0, -1, -2, -3, 1, 0, -1] deps = ["ROOT", "dobj", "prt", "punct", "nsubj", "ROOT", "punct"] tokens = en_tokenizer(text) doc = get_doc( tokens.vocab, words=[t.text for t in tokens], pos=pos, heads=heads, deps=deps ) assert doc[0].orth_ == "Give" assert doc[0].text == "Give" assert doc[0].text_with_ws == "Give " assert doc[0].lower_ == "give" assert doc[0].shape_ == "Xxxx" assert doc[0].prefix_ == "G" assert doc[0].suffix_ == "ive" assert doc[0].pos_ == "VERB" assert doc[0].dep_ == "ROOT" def test_doc_token_api_flags(en_tokenizer): text = "Give it back! He pleaded." tokens = en_tokenizer(text) assert tokens[0].check_flag(IS_ALPHA) assert not tokens[0].check_flag(IS_DIGIT) assert tokens[0].check_flag(IS_TITLE) assert tokens[1].check_flag(IS_LOWER) assert tokens[3].check_flag(IS_PUNCT) assert tokens[2].check_flag(IS_STOP) assert not tokens[5].check_flag(IS_STOP) # TODO: Test more of these, esp. if a bug is found @pytest.mark.parametrize("text", ["Give it back! He pleaded."]) def test_doc_token_api_prob_inherited_from_vocab(en_tokenizer, text): word = text.split()[0] en_tokenizer.vocab[word].prob = -1 tokens = en_tokenizer(text) assert tokens[0].prob != 0 @pytest.mark.parametrize("text", ["one two"]) def test_doc_token_api_str_builtin(en_tokenizer, text): tokens = en_tokenizer(text) assert str(tokens[0]) == text.split(" ")[0] assert str(tokens[1]) == text.split(" ")[1] def test_doc_token_api_is_properties(en_vocab): doc = Doc(en_vocab, words=["Hi", ",", "my", "email", "is", "test@me.com"]) assert doc[0].is_title assert doc[0].is_alpha assert not doc[0].is_digit assert doc[1].is_punct assert doc[3].is_ascii assert not doc[3].like_url assert doc[4].is_lower assert doc[5].like_email def test_doc_token_api_vectors(): vocab = Vocab() vocab.reset_vectors(width=2) vocab.set_vector("apples", vector=numpy.asarray([0.0, 2.0], dtype="f")) vocab.set_vector("oranges", vector=numpy.asarray([0.0, 1.0], dtype="f")) doc = Doc(vocab, words=["apples", "oranges", "oov"]) assert doc.has_vector assert doc[0].has_vector assert doc[1].has_vector assert not doc[2].has_vector apples_norm = (0 * 0 + 2 * 2) ** 0.5 oranges_norm = (0 * 0 + 1 * 1) ** 0.5 cosine = ((0 * 0) + (2 * 1)) / (apples_norm * oranges_norm) assert doc[0].similarity(doc[1]) == cosine def test_doc_token_api_ancestors(en_tokenizer): # the structure of this sentence depends on the English annotation scheme text = "Yesterday I saw a dog that barked loudly." heads = [2, 1, 0, 1, -2, 1, -2, -1, -6] tokens = en_tokenizer(text) doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads) assert [t.text for t in doc[6].ancestors] == ["dog", "saw"] assert [t.text for t in doc[1].ancestors] == ["saw"] assert [t.text for t in doc[2].ancestors] == [] assert doc[2].is_ancestor(doc[7]) assert not doc[6].is_ancestor(doc[2]) def test_doc_token_api_head_setter(en_tokenizer): # the structure of this sentence depends on the English annotation scheme text = "Yesterday I saw a dog that barked loudly." heads = [2, 1, 0, 1, -2, 1, -2, -1, -6] tokens = en_tokenizer(text) doc = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads) assert doc[6].n_lefts == 1 assert doc[6].n_rights == 1 assert doc[6].left_edge.i == 5 assert doc[6].right_edge.i == 7 assert doc[4].n_lefts == 1 assert doc[4].n_rights == 1 assert doc[4].left_edge.i == 3 assert doc[4].right_edge.i == 7 assert doc[3].n_lefts == 0 assert doc[3].n_rights == 0 assert doc[3].left_edge.i == 3 assert doc[3].right_edge.i == 3 assert doc[2].left_edge.i == 0 assert doc[2].right_edge.i == 8 doc[6].head = doc[3] assert doc[6].n_lefts == 1 assert doc[6].n_rights == 1 assert doc[6].left_edge.i == 5 assert doc[6].right_edge.i == 7 assert doc[3].n_lefts == 0 assert doc[3].n_rights == 1 assert doc[3].left_edge.i == 3 assert doc[3].right_edge.i == 7 assert doc[4].n_lefts == 1 assert doc[4].n_rights == 0 assert doc[4].left_edge.i == 3 assert doc[4].right_edge.i == 7 assert doc[2].left_edge.i == 0 assert doc[2].right_edge.i == 8 doc[0].head = doc[5] assert doc[5].left_edge.i == 0 assert doc[6].left_edge.i == 0 assert doc[3].left_edge.i == 0 assert doc[4].left_edge.i == 0 assert doc[2].left_edge.i == 0 # head token must be from the same document doc2 = get_doc(tokens.vocab, words=[t.text for t in tokens], heads=heads) with pytest.raises(ValueError): doc[0].head = doc2[0] def test_is_sent_start(en_tokenizer): doc = en_tokenizer("This is a sentence. This is another.") assert doc[5].is_sent_start is None doc[5].is_sent_start = True assert doc[5].is_sent_start is True doc.is_parsed = True assert len(list(doc.sents)) == 2 def test_is_sent_end(en_tokenizer): doc = en_tokenizer("This is a sentence. This is another.") assert doc[4].is_sent_end is None doc[5].is_sent_start = True assert doc[4].is_sent_end is True doc.is_parsed = True assert len(list(doc.sents)) == 2 def test_set_pos(): doc = Doc(Vocab(), words=["hello", "world"]) doc[0].pos_ = "NOUN" assert doc[0].pos_ == "NOUN" doc[1].pos = VERB assert doc[1].pos_ == "VERB" def test_tokens_sent(doc): """Test token.sent property""" assert len(list(doc.sents)) == 3 assert doc[1].sent.text == "This is a sentence ." assert doc[7].sent.text == "This is another sentence ." assert doc[1].sent.root.left_edge.text == "This" assert doc[7].sent.root.left_edge.text == "This" def test_token0_has_sent_start_true(): doc = Doc(Vocab(), words=["hello", "world"]) assert doc[0].is_sent_start is True assert doc[1].is_sent_start is None assert not doc.is_sentenced def test_tokenlast_has_sent_end_true(): doc = Doc(Vocab(), words=["hello", "world"]) assert doc[0].is_sent_end is None assert doc[1].is_sent_end is True assert not doc.is_sentenced def test_token_api_conjuncts_chain(en_vocab): words = "The boy and the girl and the man went .".split() heads = [1, 7, -1, 1, -3, -1, 1, -3, 0, -1] deps = ["det", "nsubj", "cc", "det", "conj", "cc", "det", "conj", "ROOT", "punct"] doc = get_doc(en_vocab, words=words, heads=heads, deps=deps) assert [w.text for w in doc[1].conjuncts] == ["girl", "man"] assert [w.text for w in doc[4].conjuncts] == ["boy", "man"] assert [w.text for w in doc[7].conjuncts] == ["boy", "girl"] def test_token_api_conjuncts_simple(en_vocab): words = "They came and went .".split() heads = [1, 0, -1, -2, -1] deps = ["nsubj", "ROOT", "cc", "conj", "dep"] doc = get_doc(en_vocab, words=words, heads=heads, deps=deps) assert [w.text for w in doc[1].conjuncts] == ["went"] assert [w.text for w in doc[3].conjuncts] == ["came"] def test_token_api_non_conjuncts(en_vocab): words = "They came .".split() heads = [1, 0, -1] deps = ["nsubj", "ROOT", "punct"] doc = get_doc(en_vocab, words=words, heads=heads, deps=deps) assert [w.text for w in doc[0].conjuncts] == [] assert [w.text for w in doc[1].conjuncts] == []