code: def load_inhibit(self, train=True, test=True) -> tuple:
          
  
          def loader(kws: list, nkws: list):
              from precise.params import pr
              inputs = np.empty((0, pr.n_features, pr.feature_size))
              outputs = np.zeros((len(kws), 1))
              for f in kws:
                  if not isfile(f):
                      continue
                  new_vec = load_vector(f, vectorize_inhibit)
                  inputs = np.concatenate([inputs, new_vec])
  
              return self.merge((inputs, outputs), self.__load_files(kws, nkws))
  
          return self.__load(loader, train, test)
docs: Generate data with inhibitory inputs created from wake word samples