class_docstr: Decorator pattern. It simply iterates the method of its member as many times as needed.
  It thus extends any class to apply its methods to a list of arguments.
class_docstr_tok: ["Decorator","pattern",".","It","simply","iterates","the","method","of","its","member","as","many","times","as","needed",".","It","thus","extends","any","class","to","apply","its","methods","to","a","list","of","arguments","."]
docstr: Override compute_masked_contributions. Apply a list of masks to a list of
  contribution matrix and compute for each pair the total masked contributions.
  
  Parameters
  ----------
  s_contrib : list
      List of local contributions matrices (pandas.DataFrames).
  masks : list
      List of masks to apply to contributions matrices0 (pandas.DataFrames, same order).
  
  Returns
  -------
  list
      List of masked contributions (pandas.Series).
docstr_tok: ["Override","compute_masked_contributions",".","Apply","a","list","of","masks","to","a","list","of","contribution","matrix","and","compute","for","each","pair","the","total","masked","contributions",".","Parameters","--","--","--","--","--","s_contrib",":","list","List","of","local","contributions","matrices","(","pandas.DataFrames",")",".","masks",":","list","List","of","masks","to","apply","to","contributions","matrices0","(","pandas.DataFrames",",","same","order",")",".","Returns","--","--","--","-","list","List","of","masked","contributions","(","pandas.Series",")","."]
code: def compute_masked_contributions(self, s_contrib, masks):
      """
      Override compute_masked_contributions. Apply a list of masks to a list of
      contribution matrix and compute for each pair the total masked contributions.
  
      Parameters
      ----------
      s_contrib : list
          List of local contributions matrices (pandas.DataFrames).
      masks : list
          List of masks to apply to contributions matrices0 (pandas.DataFrames, same order).
  
      Returns
      -------
      list
          List of masked contributions (pandas.Series).
      """
      arg_tup = list(zip(s_contrib, masks))
      return self.delegate("compute_masked_contributions", arg_tup)
  
file_path: shapash/shapash/explainer/multi_decorator.py
imports: from shapash.explainer.smart_state import SmartState
label_desc: Use image node_id 10 for calling the MultiDecorator obj's underlying member method code with example usage: obj.compute_masked_contributions(s_contrib, masks) and returns: self