544875dd8a7fea49a86e5623d37274159b4ba7b5,skopt/optimizer/base.py,,base_minimize,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,20

Before Change

    // User suggested points at which to evaluate the objective first
    if x0 and y0 is None:
        for i, x in enumerate(x0):
            // on the last iteration fit a model so we can start predicting
            // unless there are random points to be evaluated next
            fit_model = i == len(x0) - 1 and n_random_starts == 0
            y = func(x)
            optimizer.tell(x, y, fit=fit_model)

            if callbacks:
                result = create_result(optimizer.Xi, optimizer.yi,
                                       optimizer.space, optimizer.rng,
                                       specs, optimizer.models)
                for c in callbacks:
                    c(result)

    // User is god and knows the value of the objective at these points
    elif x0 and y0 is not None:
        if not (isinstance(y0, Iterable) or isinstance(y0, numbers.Number)):
            raise ValueError(
                "`y0` should be an iterable or a scalar, got %s" % type(y0))

After Change

    // User suggested points at which to evaluate the objective first
    if x0 and y0 is None:
        y0 = list(map(func, x0))
        if not all(map(np.isscalar, y0)):
            raise ValueError(
                "`y0` elements should be scalars")
        optimizer.tell(x0, y0)

Instances