b6b9ff2657dc4fb8da0577f51f40c41161b0c400,deeppavlov/models/evolution/check_binary_mask.py,,check_and_correct_binary_mask,#Any#Any#,49

Before Change

        // print("Cycles: {}".format(cycles))
        // number of candidates to be the best new graph
        cycles_len = np.array([len(cycle) for cycle in cycles])
        n_candidates = np.prod(cycles_len)

        for i in range(n_candidates):
            new_directed_graph = copy.deepcopy(directed_graph)
            for j in range(n_cycles):

After Change

        // print("Cycles: {}".format(cycles))
        // number of candidates to be the best new graph
        cycles_len = np.array([len(cycle) for cycle in cycles])
        n_candidates = int(np.prod(cycles_len))

        for i in range(n_candidates):
            new_directed_graph = deepcopy(directed_graph)
            for j in range(n_cycles):

Instances