def test_multilabel_field_empty_field_works(self):
        vocab = Vocabulary()
        vocab.add_token_to_namespace("label1", namespace="test_empty_labels")
        vocab.add_token_to_namespace("label2", namespace="test_empty_labels")

        f = MultiLabelField([], label_namespace="test_empty_labels")
        f.index(vocab)
        tensor = f.as_tensor(f.get_padding_lengths()).detach().cpu().numpy()
        numpy.testing.assert_array_almost_equal(tensor, numpy.array([0, 0]))
    def test_multilabel_field_can_index_with_vocab(self):
        vocab = Vocabulary()
        vocab.add_token_to_namespace("rel0", namespace="rel_labels")
        vocab.add_token_to_namespace("rel1", namespace="rel_labels")
        vocab.add_token_to_namespace("rel2", namespace="rel_labels")

        f = MultiLabelField(["rel1", "rel0"], label_namespace="rel_labels")
        f.index(vocab)
        tensor = f.as_tensor(f.get_padding_lengths()).detach().cpu().numpy()
        numpy.testing.assert_array_almost_equal(tensor, numpy.array([1, 1, 0]))
Example #3
0
    def test_invalid_vocab_extension(self):
        vocab_dir = self.TEST_DIR / 'vocab_save'
        original_vocab = Vocabulary(non_padded_namespaces=["tokens1"])
        original_vocab.add_token_to_namespace("a", namespace="tokens1")
        original_vocab.add_token_to_namespace("b", namespace="tokens1")
        original_vocab.add_token_to_namespace("p", namespace="tokens2")
        original_vocab.save_to_files(vocab_dir)
        text_field1 = TextField([Token(t) for t in ["a" "c"]],
                                {"tokens1": SingleIdTokenIndexer("tokens1")})
        text_field2 = TextField([Token(t) for t in ["p", "q", "r"]],
                                {"tokens2": SingleIdTokenIndexer("tokens2")})
        instances = Batch([Instance({"text1": text_field1, "text2": text_field2})])

        # Following 2 should give error: token1 is non-padded in original_vocab but not in instances
        params = Params({"directory_path": vocab_dir, "extend": True,
                         "non_padded_namespaces": []})
        with pytest.raises(ConfigurationError):
            _ = Vocabulary.from_params(params, instances)
        with pytest.raises(ConfigurationError):
            extended_vocab = copy.copy(original_vocab)
            params = Params({"non_padded_namespaces": []})
            extended_vocab.extend_from_instances(params, instances)
        with pytest.raises(ConfigurationError):
            extended_vocab = copy.copy(original_vocab)
            extended_vocab._extend(non_padded_namespaces=[],
                                   tokens_to_add={"tokens1": ["a"], "tokens2": ["p"]})

        # Following 2 should not give error: overlapping namespaces have same padding setting
        params = Params({"directory_path": vocab_dir, "extend": True,
                         "non_padded_namespaces": ["tokens1"]})
        Vocabulary.from_params(params, instances)
        extended_vocab = copy.copy(original_vocab)
        params = Params({"non_padded_namespaces": ["tokens1"]})
        extended_vocab.extend_from_instances(params, instances)
        extended_vocab = copy.copy(original_vocab)
        extended_vocab._extend(non_padded_namespaces=["tokens1"],
                               tokens_to_add={"tokens1": ["a"], "tokens2": ["p"]})

        # Following 2 should give error: token1 is padded in instances but not in original_vocab
        params = Params({"directory_path": vocab_dir, "extend": True,
                         "non_padded_namespaces": ["tokens1", "tokens2"]})
        with pytest.raises(ConfigurationError):
            _ = Vocabulary.from_params(params, instances)
        with pytest.raises(ConfigurationError):
            extended_vocab = copy.copy(original_vocab)
            params = Params({"non_padded_namespaces": ["tokens1", "tokens2"]})
            extended_vocab.extend_from_instances(params, instances)
        with pytest.raises(ConfigurationError):
            extended_vocab = copy.copy(original_vocab)
            extended_vocab._extend(non_padded_namespaces=["tokens1", "tokens2"],
                                   tokens_to_add={"tokens1": ["a"], "tokens2": ["p"]})
Example #4
0
    def test_add_word_to_index_gives_consistent_results(self):
        vocab = Vocabulary()
        initial_vocab_size = vocab.get_vocab_size()
        word_index = vocab.add_token_to_namespace("word")
        assert "word" in vocab.get_index_to_token_vocabulary().values()
        assert vocab.get_token_index("word") == word_index
        assert vocab.get_token_from_index(word_index) == "word"
        assert vocab.get_vocab_size() == initial_vocab_size + 1

        # Now add it again, and make sure nothing changes.
        vocab.add_token_to_namespace("word")
        assert "word" in vocab.get_index_to_token_vocabulary().values()
        assert vocab.get_token_index("word") == word_index
        assert vocab.get_token_from_index(word_index) == "word"
        assert vocab.get_vocab_size() == initial_vocab_size + 1
Example #5
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    def test_namespaces(self):
        vocab = Vocabulary()
        initial_vocab_size = vocab.get_vocab_size()
        word_index = vocab.add_token_to_namespace("word", namespace='1')
        assert "word" in vocab.get_index_to_token_vocabulary(namespace='1').values()
        assert vocab.get_token_index("word", namespace='1') == word_index
        assert vocab.get_token_from_index(word_index, namespace='1') == "word"
        assert vocab.get_vocab_size(namespace='1') == initial_vocab_size + 1

        # Now add it again, in a different namespace and a different word, and make sure it's like
        # new.
        word2_index = vocab.add_token_to_namespace("word2", namespace='2')
        word_index = vocab.add_token_to_namespace("word", namespace='2')
        assert "word" in vocab.get_index_to_token_vocabulary(namespace='2').values()
        assert "word2" in vocab.get_index_to_token_vocabulary(namespace='2').values()
        assert vocab.get_token_index("word", namespace='2') == word_index
        assert vocab.get_token_index("word2", namespace='2') == word2_index
        assert vocab.get_token_from_index(word_index, namespace='2') == "word"
        assert vocab.get_token_from_index(word2_index, namespace='2') == "word2"
        assert vocab.get_vocab_size(namespace='2') == initial_vocab_size + 2
Example #6
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    def test_from_params(self):
        # Save a vocab to check we can load it from_params.
        vocab_dir = self.TEST_DIR / 'vocab_save'
        vocab = Vocabulary(non_padded_namespaces=["a", "c"])
        vocab.add_token_to_namespace("a0", namespace="a")  # non-padded, should start at 0
        vocab.add_token_to_namespace("a1", namespace="a")
        vocab.add_token_to_namespace("a2", namespace="a")
        vocab.add_token_to_namespace("b2", namespace="b")  # padded, should start at 2
        vocab.add_token_to_namespace("b3", namespace="b")
        vocab.save_to_files(vocab_dir)

        params = Params({"directory_path": vocab_dir})
        vocab2 = Vocabulary.from_params(params)
        assert vocab.get_index_to_token_vocabulary("a") == vocab2.get_index_to_token_vocabulary("a")
        assert vocab.get_index_to_token_vocabulary("b") == vocab2.get_index_to_token_vocabulary("b")

        # Test case where we build a vocab from a dataset.
        vocab2 = Vocabulary.from_params(Params({}), self.dataset)
        assert vocab2.get_index_to_token_vocabulary("tokens") == {0: '@@PADDING@@',
                                                                  1: '@@UNKNOWN@@',
                                                                  2: 'a', 3: 'c', 4: 'b'}
        # Test from_params raises when we have neither a dataset and a vocab_directory.
        with pytest.raises(ConfigurationError):
            _ = Vocabulary.from_params(Params({}))

        # Test from_params raises when there are any other dict keys
        # present apart from 'directory_path' and we aren't calling from_dataset.
        with pytest.raises(ConfigurationError):
            _ = Vocabulary.from_params(Params({"directory_path": vocab_dir, "min_count": {'tokens': 2}}))
Example #7
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    def test_from_params_extend_config(self):

        vocab_dir = self.TEST_DIR / 'vocab_save'
        original_vocab = Vocabulary(non_padded_namespaces=["tokens"])
        original_vocab.add_token_to_namespace("a", namespace="tokens")
        original_vocab.save_to_files(vocab_dir)

        text_field = TextField([Token(t) for t in ["a", "b"]],
                               {"tokens": SingleIdTokenIndexer("tokens")})
        instances = Batch([Instance({"text": text_field})])

        # If you ask to extend vocab from `directory_path`, instances must be passed
        # in Vocabulary constructor, or else there is nothing to extend to.
        params = Params({"directory_path": vocab_dir, "extend": True})
        with pytest.raises(ConfigurationError):
            _ = Vocabulary.from_params(params)

        # If you ask to extend vocab, `directory_path` key must be present in params,
        # or else there is nothing to extend from.
        params = Params({"extend": True})
        with pytest.raises(ConfigurationError):
            _ = Vocabulary.from_params(params, instances)
Example #8
0
 def test_vocab_can_print(self):
     vocab = Vocabulary(non_padded_namespaces=["a", "c"])
     vocab.add_token_to_namespace("a0", namespace="a")
     vocab.add_token_to_namespace("a1", namespace="a")
     vocab.add_token_to_namespace("a2", namespace="a")
     vocab.add_token_to_namespace("b2", namespace="b")
     vocab.add_token_to_namespace("b3", namespace="b")
     print(vocab)
Example #9
0
    def test_saving_and_loading(self):
        # pylint: disable=protected-access
        vocab_dir = self.TEST_DIR / 'vocab_save'

        vocab = Vocabulary(non_padded_namespaces=["a", "c"])
        vocab.add_token_to_namespace("a0", namespace="a")  # non-padded, should start at 0
        vocab.add_token_to_namespace("a1", namespace="a")
        vocab.add_token_to_namespace("a2", namespace="a")
        vocab.add_token_to_namespace("b2", namespace="b")  # padded, should start at 2
        vocab.add_token_to_namespace("b3", namespace="b")

        vocab.save_to_files(vocab_dir)
        vocab2 = Vocabulary.from_files(vocab_dir)

        assert vocab2._non_padded_namespaces == {"a", "c"}

        # Check namespace a.
        assert vocab2.get_vocab_size(namespace='a') == 3
        assert vocab2.get_token_from_index(0, namespace='a') == 'a0'
        assert vocab2.get_token_from_index(1, namespace='a') == 'a1'
        assert vocab2.get_token_from_index(2, namespace='a') == 'a2'
        assert vocab2.get_token_index('a0', namespace='a') == 0
        assert vocab2.get_token_index('a1', namespace='a') == 1
        assert vocab2.get_token_index('a2', namespace='a') == 2

        # Check namespace b.
        assert vocab2.get_vocab_size(namespace='b') == 4  # (unk + padding + two tokens)
        assert vocab2.get_token_from_index(0, namespace='b') == vocab._padding_token
        assert vocab2.get_token_from_index(1, namespace='b') == vocab._oov_token
        assert vocab2.get_token_from_index(2, namespace='b') == 'b2'
        assert vocab2.get_token_from_index(3, namespace='b') == 'b3'
        assert vocab2.get_token_index(vocab._padding_token, namespace='b') == 0
        assert vocab2.get_token_index(vocab._oov_token, namespace='b') == 1
        assert vocab2.get_token_index('b2', namespace='b') == 2
        assert vocab2.get_token_index('b3', namespace='b') == 3

        # Check the dictionaries containing the reverse mapping are identical.
        assert vocab.get_index_to_token_vocabulary("a") == vocab2.get_index_to_token_vocabulary("a")
        assert vocab.get_index_to_token_vocabulary("b") == vocab2.get_index_to_token_vocabulary("b")
Example #10
0
    def test_from_params_valid_vocab_extension_thoroughly(self):
        '''
        Tests for Valid Vocab Extension thoroughly: Vocab extension is valid
        when overlapping namespaces have same padding behaviour (padded/non-padded)
        Summary of namespace paddings in this test:
        original_vocab namespaces
            tokens0     padded
            tokens1     non-padded
            tokens2     padded
            tokens3     non-padded
        instances namespaces
            tokens0     padded
            tokens1     non-padded
            tokens4     padded
            tokens5     non-padded
        TypicalExtention example: (of tokens1 namespace)
        -> original_vocab index2token
           apple          #0->apple
           bat            #1->bat
           cat            #2->cat
        -> Token to be extended with: cat, an, apple, banana, atom, bat
        -> extended_vocab: index2token
           apple           #0->apple
           bat             #1->bat
           cat             #2->cat
           an              #3->an
           atom            #4->atom
           banana          #5->banana
        '''

        vocab_dir = self.TEST_DIR / 'vocab_save'
        original_vocab = Vocabulary(non_padded_namespaces=["tokens1", "tokens3"])
        original_vocab.add_token_to_namespace("apple", namespace="tokens0") # index:2
        original_vocab.add_token_to_namespace("bat", namespace="tokens0")   # index:3
        original_vocab.add_token_to_namespace("cat", namespace="tokens0")   # index:4

        original_vocab.add_token_to_namespace("apple", namespace="tokens1") # index:0
        original_vocab.add_token_to_namespace("bat", namespace="tokens1")   # index:1
        original_vocab.add_token_to_namespace("cat", namespace="tokens1")   # index:2

        original_vocab.add_token_to_namespace("a", namespace="tokens2") # index:0
        original_vocab.add_token_to_namespace("b", namespace="tokens2") # index:1
        original_vocab.add_token_to_namespace("c", namespace="tokens2") # index:2

        original_vocab.add_token_to_namespace("p", namespace="tokens3") # index:0
        original_vocab.add_token_to_namespace("q", namespace="tokens3") # index:1

        original_vocab.save_to_files(vocab_dir)

        text_field0 = TextField([Token(t) for t in ["cat", "an", "apple", "banana", "atom", "bat"]],
                                {"tokens0": SingleIdTokenIndexer("tokens0")})
        text_field1 = TextField([Token(t) for t in ["cat", "an", "apple", "banana", "atom", "bat"]],
                                {"tokens1": SingleIdTokenIndexer("tokens1")})
        text_field4 = TextField([Token(t) for t in ["l", "m", "n", "o"]],
                                {"tokens4": SingleIdTokenIndexer("tokens4")})
        text_field5 = TextField([Token(t) for t in ["x", "y", "z"]],
                                {"tokens5": SingleIdTokenIndexer("tokens5")})
        instances = Batch([Instance({"text0": text_field0, "text1": text_field1,
                                     "text4": text_field4, "text5": text_field5})])

        params = Params({"directory_path": vocab_dir,
                         "extend": True,
                         "non_padded_namespaces": ["tokens1", "tokens5"]})
        extended_vocab = Vocabulary.from_params(params, instances)

        # namespaces: tokens0, tokens1 is common.
        # tokens2, tokens3 only vocab has. tokens4, tokens5 only instances
        extended_namespaces = {*extended_vocab._token_to_index}
        assert extended_namespaces == {"tokens{}".format(i) for i in range(6)}

        # # Check that _non_padded_namespaces list is consistent after extension
        assert extended_vocab._non_padded_namespaces == {"tokens1", "tokens3", "tokens5"}

        # # original_vocab["tokens1"] has 3 tokens, instances of "tokens1" ns has 5 tokens. 2 overlapping
        assert extended_vocab.get_vocab_size("tokens1") == 6
        assert extended_vocab.get_vocab_size("tokens0") == 8 # 2 extra overlapping because padded

        # namespace tokens3, tokens4 was only in original_vocab,
        # and its token count should be same in extended_vocab
        assert extended_vocab.get_vocab_size("tokens2") == original_vocab.get_vocab_size("tokens2")
        assert extended_vocab.get_vocab_size("tokens3") == original_vocab.get_vocab_size("tokens3")

        # namespace tokens2 was only in instances,
        # and its token count should be same in extended_vocab
        assert extended_vocab.get_vocab_size("tokens4") == 6 # l,m,n,o + oov + padding
        assert extended_vocab.get_vocab_size("tokens5") == 3 # x,y,z

        # Word2index mapping of all words in all namespaces of original_vocab
        # should be maintained in extended_vocab
        for namespace, token2index in original_vocab._token_to_index.items():
            for token, _ in token2index.items():
                vocab_index = original_vocab.get_token_index(token, namespace)
                extended_vocab_index = extended_vocab.get_token_index(token, namespace)
                assert vocab_index == extended_vocab_index
        # And same for Index2Word mapping
        for namespace, index2token in original_vocab._index_to_token.items():
            for index, _ in index2token.items():
                vocab_token = original_vocab.get_token_from_index(index, namespace)
                extended_vocab_token = extended_vocab.get_token_from_index(index, namespace)
                assert vocab_token == extended_vocab_token
Example #11
0
    def test_valid_vocab_extension(self):
        vocab_dir = self.TEST_DIR / 'vocab_save'
        extension_ways = ["from_params", "extend_from_instances"]
        # Test: padded/non-padded common namespaces are extending appropriately
        non_padded_namespaces_list = [[], ["tokens"]]
        for non_padded_namespaces in non_padded_namespaces_list:
            original_vocab = Vocabulary(non_padded_namespaces=non_padded_namespaces)
            original_vocab.add_token_to_namespace("d", namespace="tokens")
            original_vocab.add_token_to_namespace("a", namespace="tokens")
            original_vocab.add_token_to_namespace("b", namespace="tokens")
            text_field = TextField([Token(t) for t in ["a", "d", "c", "e"]],
                                   {"tokens": SingleIdTokenIndexer("tokens")})
            instances = Batch([Instance({"text": text_field})])
            for way in extension_ways:
                if way == "extend_from_instances":
                    extended_vocab = copy.copy(original_vocab)
                    params = Params({"non_padded_namespaces": non_padded_namespaces})
                    extended_vocab.extend_from_instances(params, instances)
                else:
                    shutil.rmtree(vocab_dir, ignore_errors=True)
                    original_vocab.save_to_files(vocab_dir)
                    params = Params({"directory_path": vocab_dir, "extend": True,
                                     "non_padded_namespaces": non_padded_namespaces})
                    extended_vocab = Vocabulary.from_params(params, instances)

                extra_count = 2 if extended_vocab.is_padded("tokens") else 0
                assert extended_vocab.get_token_index("d", "tokens") == 0 + extra_count
                assert extended_vocab.get_token_index("a", "tokens") == 1 + extra_count
                assert extended_vocab.get_token_index("b", "tokens") == 2 + extra_count

                assert extended_vocab.get_token_index("c", "tokens") # should be present
                assert extended_vocab.get_token_index("e", "tokens") # should be present

                assert extended_vocab.get_vocab_size("tokens") == 5 + extra_count

        # Test: padded/non-padded non-common namespaces are extending appropriately
        non_padded_namespaces_list = [[],
                                      ["tokens1"],
                                      ["tokens1", "tokens2"]]
        for non_padded_namespaces in non_padded_namespaces_list:
            original_vocab = Vocabulary(non_padded_namespaces=non_padded_namespaces)
            original_vocab.add_token_to_namespace("a", namespace="tokens1") # index2
            text_field = TextField([Token(t) for t in ["b"]],
                                   {"tokens2": SingleIdTokenIndexer("tokens2")})
            instances = Batch([Instance({"text": text_field})])

            for way in extension_ways:
                if way == "extend_from_instances":
                    extended_vocab = copy.copy(original_vocab)
                    params = Params({"non_padded_namespaces": non_padded_namespaces})
                    extended_vocab.extend_from_instances(params, instances)
                else:
                    shutil.rmtree(vocab_dir, ignore_errors=True)
                    original_vocab.save_to_files(vocab_dir)
                    params = Params({"directory_path": vocab_dir, "extend": True,
                                     "non_padded_namespaces": non_padded_namespaces})
                    extended_vocab = Vocabulary.from_params(params, instances)

                # Should have two namespaces
                assert len(extended_vocab._token_to_index) == 2

                extra_count = 2 if extended_vocab.is_padded("tokens1") else 0
                assert extended_vocab.get_vocab_size("tokens1") == 1 + extra_count

                extra_count = 2 if extended_vocab.is_padded("tokens2") else 0
                assert extended_vocab.get_vocab_size("tokens2") == 1 + extra_count