docstr: Find the distance between two dataframes using <> distance metric.
  
  Returns:
      ret (pd.DataFrame): The cropped frame.
docstr_tok: ["Find","the","distance","between","two","dataframes","using","<",">","distance","metric",".","Returns",":","ret","(","pd.DataFrame",")",":","The","cropped","frame","."]
code: def forward(self, df: pd.DataFrame) -> pd.DataFrame:
      """
      Find the distance between two dataframes using <> distance metric.
  
      Returns:
          ret (pd.DataFrame): The cropped frame.
      """
      ret = pd.DataFrame()
      ret["distance"] = df.apply(
          lambda row: fuzz.ratio(str(row[0]), str(row[1])), axis=1
      )
      return ret
  
imports: import pandas
  from thefuzz import fuzz
  from evadb.functions.abstract.abstract_function import AbstractFunction
label_desc: Use image node_id 3 for calling the FuzzDistance obj's underlying member method code with example usage: obj.forward(df) and returns: ret