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We use Algorithmic Differentiation (AD) to implement type-generic tangent and adjoint versions of in C++. We run an instantiation for char-arithmetic and we print the gradient at to std::cout, yielding the output Merry Xmas''. Similar instantiations of type-generic second-order tangent and second-order adjoint versions of $$ y=\frac{1}{6} \cdot \sum_{i=0}^{n-1} x^3_{i} $$ yield Happy 2026’’ at Prepend a sufficiently large number of zeros to the input vector to explore the varying run times of the different derivative codes. The entire source code can be found on https://github.com/un110076/SeasonsGreetings.

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