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 spacy.training import Example @pytest.fixture def doc(en_vocab): # fmt: off words = ["This", "is", "a", "sentence", ".", "This", "is", "another", "sentence", ".", "And", "a", "third", "."] heads = [1, 1, 3, 1, 1, 6, 6, 8, 6, 6, 10, 12, 10, 12] deps = ["nsubj", "ROOT", "det", "attr", "punct", "nsubj", "ROOT", "det", "attr", "punct", "ROOT", "det", "npadvmod", "punct"] # fmt: on return Doc(en_vocab, words=words, heads=heads, deps=deps) def test_doc_token_api_strings(en_vocab): words = ["Give", "it", "back", "!", "He", "pleaded", "."] pos = ["VERB", "PRON", "PART", "PUNCT", "PRON", "VERB", "PUNCT"] heads = [0, 0, 0, 0, 5, 5, 5] deps = ["ROOT", "dobj", "prt", "punct", "nsubj", "ROOT", "punct"] doc = Doc(en_vocab, words=words, 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_vocab): # the structure of this sentence depends on the English annotation scheme words = ["Yesterday", "I", "saw", "a", "dog", "that", "barked", "loudly", "."] heads = [2, 2, 2, 4, 2, 6, 4, 6, 2] deps = ["dep"] * len(heads) doc = Doc(en_vocab, words=words, heads=heads, deps=deps) 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_vocab): words = ["Yesterday", "I", "saw", "a", "dog", "that", "barked", "loudly", "."] heads = [2, 2, 2, 4, 2, 6, 4, 6, 2] deps = ["dep"] * len(heads) doc = Doc(en_vocab, words=words, heads=heads, deps=deps) 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 = Doc(en_vocab, words=words, heads=heads, deps=["dep"] * len(heads)) with pytest.raises(ValueError): doc[0].head = doc2[0] # test sentence starts when two sentences are joined # fmt: off words = ["This", "is", "one", "sentence", ".", "This", "is", "another", "sentence", "."] heads = [0, 0, 0, 0, 0, 5, 5, 5, 5, 5] # fmt: on doc = Doc(en_vocab, words=words, heads=heads, deps=["dep"] * len(heads)) # initially two sentences assert doc[0].is_sent_start assert doc[5].is_sent_start assert doc[0].left_edge == doc[0] assert doc[0].right_edge == doc[4] assert doc[5].left_edge == doc[5] assert doc[5].right_edge == doc[9] # modifying with a sentence doesn't change sent starts doc[2].head = doc[3] assert doc[0].is_sent_start assert doc[5].is_sent_start assert doc[0].left_edge == doc[0] assert doc[0].right_edge == doc[4] assert doc[5].left_edge == doc[5] assert doc[5].right_edge == doc[9] # attach the second sentence to the first, resulting in one sentence doc[5].head = doc[0] assert doc[0].is_sent_start assert not doc[5].is_sent_start assert doc[0].left_edge == doc[0] assert doc[0].right_edge == doc[9] 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 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 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.has_annotation("SENT_START") 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.has_annotation("SENT_START") def test_token_api_conjuncts_chain(en_vocab): words = ["The", "boy", "and", "the", "girl", "and", "the", "man", "went", "."] heads = [1, 8, 1, 4, 1, 4, 7, 4, 8, 8] deps = ["det", "nsubj", "cc", "det", "conj", "cc", "det", "conj", "ROOT", "punct"] doc = 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", "."] heads = [1, 1, 1, 1, 3] deps = ["nsubj", "ROOT", "cc", "conj", "dep"] doc = 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", "."] heads = [1, 1, 1] deps = ["nsubj", "ROOT", "punct"] doc = 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] == [] def test_missing_head_dep(en_vocab): """Check that the Doc constructor and Example.from_dict parse missing information the same""" heads = [1, 1, 1, 1, 2, None] # element 5 is missing deps = ["", "ROOT", "dobj", "cc", "conj", None] # element 0 and 5 are missing words = ["I", "like", "London", "and", "Berlin", "."] doc = Doc(en_vocab, words=words, heads=heads, deps=deps) pred_has_heads = [t.has_head() for t in doc] pred_has_deps = [t.has_dep() for t in doc] pred_heads = [t.head.i for t in doc] pred_deps = [t.dep_ for t in doc] pred_sent_starts = [t.is_sent_start for t in doc] assert pred_has_heads == [False, True, True, True, True, False] assert pred_has_deps == [False, True, True, True, True, False] assert pred_heads[1:5] == [1, 1, 1, 2] assert pred_deps[1:5] == ["ROOT", "dobj", "cc", "conj"] assert pred_sent_starts == [True, False, False, False, False, False] example = Example.from_dict(doc, {"heads": heads, "deps": deps}) ref_has_heads = [t.has_head() for t in example.reference] ref_has_deps = [t.has_dep() for t in example.reference] ref_heads = [t.head.i for t in example.reference] ref_deps = [t.dep_ for t in example.reference] ref_sent_starts = [t.is_sent_start for t in example.reference] assert ref_has_heads == pred_has_heads assert ref_has_deps == pred_has_heads assert ref_heads == pred_heads assert ref_deps == pred_deps assert ref_sent_starts == pred_sent_starts # check that the aligned parse preserves the missing information aligned_heads, aligned_deps = example.get_aligned_parse(projectivize=True) assert aligned_deps[0] == ref_deps[0] assert aligned_heads[0] == ref_heads[0] assert aligned_deps[5] == ref_deps[5] assert aligned_heads[5] == ref_heads[5]