AMDs and PDDs also work for finite point sets. The functions :func:`.calculate.finite_AMD` and
:func:`.calculate.finite_PDD` accept just a numpy array containing the points, returning the
fingerprint of the finite point set. Unlike amd.AMD and amd.PDD no integer k is passed;
instead the distances to all neighbours are found (number of columns = no of points - 1).
As the name suggests
It is possible to reconstruct a periodic set up to isometry from its PDD if the periodic set satisfies certain conditions (a 'general position') and the PDD has enough columns. This is implemented via the functions :func:`.calculate.PDD_reconstructable`, which returns the PDD of a periodic set with enough columns, and :func:`.reconstruct.reconstruct` which returns the motif given the PDD and unit cell.