def test_vocab_col_uses_text(): file_name = 'fake' fake_text = ['fake', 'text'] col = np.random.randint(0, 5) with patch('baseline.reader._read_from_col') as read_patch: _ = _build_vocab_for_col(col, file_name, {}, fake_text) read_patch.assert_not_called()
def test_vocab_col_uses_text(): file_name = 'fake' fake_text = ['fake', 'text'] col = np.random.randint(0, 5) with patch('baseline.reader._read_from_col') as read_patch: _ = _build_vocab_for_col(col, file_name, {}, fake_text) read_patch.assert_not_called()
def test_vocab_col_calls_counts(): dummy = ['text'] with patch('baseline.reader._read_from_col') as read_patch: read_patch.return_value = dummy vects = {'a': MagicMock(), 'b': MagicMock(), 'c': MagicMock()} _ = _build_vocab_for_col(0, None, vects) for vect in vects.values(): vect.count.assert_called_once_with(dummy[0])
def test_vocab_col_calls_counts(): dummy = ['text'] with patch('baseline.reader._read_from_col') as read_patch: read_patch.return_value = dummy vects = {'a': MagicMock(), 'b': MagicMock(), 'c': MagicMock()} _ = _build_vocab_for_col(0, None, vects) for vect in vects.values(): vect.count.assert_called_once_with(dummy[0])
def test_vocab_col_calls_read(): file_name = 'fake' col = np.random.randint(0, 5) with patch('baseline.reader._read_from_col') as read_patch: _ = _build_vocab_for_col(col, file_name, {}) read_patch.assert_called_once_with(col, file_name)
def test_vocab_col_calls_read(): file_name = 'fake' col = np.random.randint(0, 5) with patch('baseline.reader._read_from_col') as read_patch: _ = _build_vocab_for_col(col, file_name, {}) read_patch.assert_called_once_with(col, file_name, r'\t', r'\s')