def METHOD_NAME(self):
    import tests.secrets as sct
    SPARK_NLP_LICENSE = sct.SPARK_NLP_LICENSE
    AWS_ACCESS_KEY_ID = sct.AWS_ACCESS_KEY_ID
    AWS_SECRET_ACCESS_KEY = sct.AWS_SECRET_ACCESS_KEY
    JSL_SECRET = sct.JSL_SECRET
    nlu.auth(
        SPARK_NLP_LICENSE, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, JSL_SECRET
    )
    te = [
        "sentiment",
    ]
    sample_texts = ["""Billy loves Soda. Sarah said so"""]
    succs = []
    for t in te:
        print(f"Testing spell = {t}")
        pipe = nlu.load(t, verbose=True)
        df = pipe.predict(
            sample_texts,
            drop_irrelevant_cols=False,
            metadata=True,
            output_level="document",
        )
        print(df.columns)
        for c in df.columns:
            print(df[c])
        succs.append(t)