code: def describe(self, attribute=None):
      if attribute == "info":
          return pd.DataFrame(
              [["dummy", 0]], columns=["type", "version"]
          )
      else:
          tables = ["info"]
          return pd.DataFrame(tables, columns=["tables"])
  
imports: import pandas
  from mindsdb.integrations.libs.base import BaseMLEngine
label_desc: Use image node_id 4 for calling the DummyHandler obj's underlying member method code with example usage: obj.describe(attribute) and returns: pd, pd