def test_namespaces(self):
data_indexer = DataIndexer()
initial_vocab_size = data_indexer.get_vocab_size()
word_index = data_indexer.add_word_to_index("word", namespace='1')
assert "word" in data_indexer.words_in_index(namespace='1')
assert data_indexer.get_word_index("word", namespace='1') == word_index
assert data_indexer.get_word_from_index(word_index,
namespace='1') == "word"
assert data_indexer.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 = data_indexer.add_word_to_index("word2", namespace='2')
word_index = data_indexer.add_word_to_index("word", namespace='2')
assert "word" in data_indexer.words_in_index(namespace='2')
assert "word2" in data_indexer.words_in_index(namespace='2')
assert data_indexer.get_word_index("word", namespace='2') == word_index
assert data_indexer.get_word_index("word2",
namespace='2') == word2_index
assert data_indexer.get_word_from_index(word_index,
namespace='2') == "word"
assert data_indexer.get_word_from_index(word2_index,
namespace='2') == "word2"
assert data_indexer.get_vocab_size(
namespace='2') == initial_vocab_size + 2
def test_fit_word_dictionary_respects_min_count(self):
instance = TextClassificationInstance("a a a a b b c c c", True)
dataset = TextDataset([instance])
data_indexer = DataIndexer()
data_indexer.fit_word_dictionary(dataset, min_count=4)
assert 'a' in data_indexer.words_in_index()
assert 'b' not in data_indexer.words_in_index()
assert 'c' not in data_indexer.words_in_index()
data_indexer = DataIndexer()
data_indexer.fit_word_dictionary(dataset, min_count=1)
assert 'a' in data_indexer.words_in_index()
assert 'b' in data_indexer.words_in_index()
assert 'c' in data_indexer.words_in_index()
def test_add_word_to_index_gives_consistent_results(self):
data_indexer = DataIndexer()
initial_vocab_size = data_indexer.get_vocab_size()
word_index = data_indexer.add_word_to_index("word")
assert "word" in data_indexer.words_in_index()
assert data_indexer.get_word_index("word") == word_index
assert data_indexer.get_word_from_index(word_index) == "word"
assert data_indexer.get_vocab_size() == initial_vocab_size + 1
# Now add it again, and make sure nothing changes.
data_indexer.add_word_to_index("word")
assert "word" in data_indexer.words_in_index()
assert data_indexer.get_word_index("word") == word_index
assert data_indexer.get_word_from_index(word_index) == "word"
assert data_indexer.get_vocab_size() == initial_vocab_size + 1
