go_benchmark.py 文件源码

def success(self, x, tol=1.e-5):
        """
        Tests if a candidate solution at the global minimum.
        The default test is

        Parameters
        ----------
        x : sequence
            The candidate vector for testing if the global minimum has been
            reached. Must have ``len(x) == self.N``
        tol : float
            The evaluated function and known global minimum must differ by less
            than this amount to be at a global minimum.

        Returns
        -------
        bool : is the candidate vector at the global minimum?
        """
        val = self.fun(asarray(x))
        if abs(val - self.fglob) < tol:
            return True

        # the solution should still be in bounds, otherwise immediate fail.
        if np.any(x > np.asfarray(self.bounds)[:, 1]):
            return False
        if np.any(x < np.asfarray(self.bounds)[:, 0]):
            return False

        # you found a lower global minimum.  This shouldn't happen.
        if val < self.fglob:
            raise ValueError("Found a lower global minimum",
                             x,
                             val,
                             self.fglob)

        return False