code: def remove_interactions_from(self, interactions):
          
          for u, v in interactions:
              self.remove_interaction(u, v)
docs: Remove all specified interactions from the binary quadratic model.
  
          Args:
              interactions (iterable[[variable, variable]]):
                  A collection of interactions. Each interaction should be a 2-tuple of variables
                  in the binary quadratic model.
  
          Notes:
              Any interaction not in the binary quadratic model is ignored.
  
          Examples:
              This example creates an Ising model with three variables that has interactions
              between two, and then removes an interaction.
  
              >>> import dimod
              ...
              >>> bqm = dimod.BinaryQuadraticModel({}, {('a', 'b'): -1.0, ('b', 'c'): 1.0}, 0.0, dimod.SPIN)
              >>> bqm.remove_interactions_from([('b', 'c'), ('a', 'c')])  # ('a', 'c') is not an interaction, so ignored
              >>> len(bqm.quadratic)
              1