def METHOD_NAME(document_classifier):
    docs = [
        Document(content="""That's good. I like it.""", meta={"name": "0"}, id="1"),
        Document(content="""That's bad. I don't like it.""", meta={"name": "1"}, id="2"),
    ]
    results = document_classifier.predict_batch(documents=[docs, docs])
    assert len(results) == 2  # 2 Document lists
    expected_labels = ["joy", "sadness"]
    for i, doc in enumerate(results[0]):
        assert doc.to_dict()["meta"]["classification"]["label"] == expected_labels[i]