246339ce01898c92ce9e143895c5def9c46dcb78,skopt/dummy_opt.py,,dummy_minimize,#Any#Any#Any#Any#,9

Before Change

    rng = check_random_state(random_state)

    n_params = len(bounds)
    lb, ub = extract_bounds(bounds)

    X = lb + (ub - lb) * rng.rand(maxiter, n_params)
    init_y = func(X[0])
    if not np.isscalar(init_y):

After Change

        http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.OptimizeResult.html
    
    rng = check_random_state(random_state)
    space = Space(dimensions)
    X = space.rvs(n_samples=maxiter, random_state=rng)

    init_y = func(X[0])
    if not np.isscalar(init_y):
        raise ValueError(

Instances