clad::gradient and clad::differentiate produce different results under certain numerical conditions

[ZeptoStarling]

clad::gradient returns NaN values due to (unused) std::acos in the function definition receiving invalid input, while clad::differentiate calculates the derivatives. So this:

double f(double C, double A)
{
	double a = std::acos(-C / A); // valid input is -1 <= -C/A <= 1
	return 2 * C * C * A;
}

int main()
{
	auto f_grad = clad::gradient(f);
	double dC = 0, dA = 0;
	f_grad.execute(/*C=*/5, /*A=*/3, &dC, &dA);
	std::cout << "clad::gradient results: " << std::endl;
	std::cout << dC << " " << dA << std::endl;
	std::cout << "clad::differentiate results: " << std::endl;
	auto f_dC = clad::differentiate(f, "C");
	std::cout << f_dC.execute(/*C=*/5, /*A=*/3) << " ";
	auto f_dA = clad::differentiate(f, "A");
	std::cout << f_dA.execute(/*C=*/5, /*A=*/3) << std::endl;
}

on Clad version 1.8~dev produces these results:

clad::gradient results: 
nan -nan
clad::differentiate results: 
60 50